From 70f62f995e2d1358a54bca87e1c03e9fa1f7aaef Mon Sep 17 00:00:00 2001
From: pirateIB <20496203-ibdocs.2@users.noreply.gitlab.com>
Date: Fri, 20 Jun 2025 11:29:08 +0000
Subject: [PATCH] Update 6 files

- /app/index.html
- /app/index.js
- /assets/style.css
- /assets/jsonqb/Chemistry 2025 QB merged.json
- /assets/jsonqb/Physics 2025 QB merged.json
- /assets/jsonqb/Biology 2025 QB merged.json
---
 app/index.html                              |   96 +-
 app/index.js                                |  184 +-
 assets/jsonqb/Biology 2025 QB merged.json   | 3455 +++++++++++++++++++
 assets/jsonqb/Chemistry 2025 QB merged.json | 1785 ++++++++++
 assets/jsonqb/Physics 2025 QB merged.json   | 2272 ++++++++++++
 assets/style.css                            |   60 +-
 6 files changed, 7822 insertions(+), 30 deletions(-)
 create mode 100644 assets/jsonqb/Biology 2025 QB merged.json
 create mode 100644 assets/jsonqb/Chemistry 2025 QB merged.json
 create mode 100644 assets/jsonqb/Physics 2025 QB merged.json

diff --git a/app/index.html b/app/index.html
index ef14bda..4fd755b 100644
--- a/app/index.html
+++ b/app/index.html
@@ -27,14 +27,6 @@
     Loading, please wait...
     </div>
   <div id="root">
-    <header>
-      <div style="position: fixed; right: 15px; z-index: 9999;">
-        <button id="addalltoPDFbtn" class="btn-primary hidden" onclick="addalltoPDF()">Add all Qs to PDF</button>
-        <button id="generatePDFbtn" class="btn-primary hidden" onclick="generatePDF()">Generate PDF!</button>
-        <button id="darkmodebtn" class="btn-primary" onclick="toggleDarkMode()">Dark Mode</button>
-        <button id="helpbtn" class="btn-secondary" onclick="toggleHelp()">Help</button>
-      </div>
-    </header>
     <div id="appContainer" class="h-full w-full">
       <div id="left-col" class="flex flex-col bg-white p-2">
         <div class="p-3"><a href="../index.html"><button class="btn-primary">< Go Home</button></button></a></div>
@@ -55,7 +47,50 @@
         <br>
         <div id="topic-list"></div>
       </div>
-      <div id="right-col" class="flex flex-col bg-gray-100 p-2">
+      <div id="right-wrapper">
+        <div id="upper-right-col" class="flex flex-col bg-gray-100 p-2">
+            <div class="toolbar">
+              <button id="addalltoPDFbtn" class="btn-primary hidden" onclick="addalltoPDF()">Add all Qs to PDF</button>
+              <button id="generatePDFbtn" class="btn-primary hidden" onclick="generatePDF()">Generate PDF!</button>
+              <button id="darkmodebtn" class="btn-primary" onclick="toggleDarkMode()">Dark Mode</button>
+              <button id="helpbtn" class="btn-secondary" onclick="toggleHelp()">Help</button>
+            </div>
+
+            <div class="selectables p-2 hidden">
+
+              <label for="paper-select"><b>Paper:</b>
+                <select id="paper-select">
+                  <option value="">All</option>
+                  <option value="1">Paper 1</option>
+                  <option value="2">Paper 2</option>
+                  <option value="3">Paper 3</option>
+                </select>
+              </label>
+
+              <label for="level-select"><b>Level:</b>
+                <select id="level-select">
+                  <option value="">All</option>
+                  <option value="standard">SL</option>
+                  <option value="higher">HL</option>
+                </select>
+              </label>
+
+              <!--<label for="topic-select"><b>Topics:</b>
+                <select id="topic-select">
+                  <option value="">All</option>
+                </select>
+              </label>-->
+
+              <label for="subtopic-select" ><b>Subtopics:</b>
+                <select id="subtopic-select">
+                  <option value="">All</option>
+                </select>
+              </label>
+
+              
+            </div>
+        </div>
+        <div id="right-col" class="flex flex-col bg-gray-100 p-2"></div>
       </div>
       <div id="modal" class="fixed left-0 top-0 hidden flex h-full w-full items-center justify-center bg-black/70">
         <div class="flex h-full w-full md:h-3/4 md:w-3/4 flex-col border bg-gray-100 p-4">
@@ -98,6 +133,19 @@
                   <h4 class="ms-2">IB Biology 2025 QuestionBank (split by parts)
                   </h4>
                 </div>
+                <div class="flex items-center mt-2">
+                  <button id="bioqb25-merged" class="btn-primary flex items-center" onclick="toggleModal()">
+                    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
+                      fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"
+                      stroke-linejoin="round" class="me-2">
+                      <circle cx="12" cy="12" r="10"></circle>
+                      <line x1="12" y1="8" x2="12" y2="16"></line>
+                      <line x1="8" y1="12" x2="16" y2="12"></line>
+                    </svg> Add
+                  </button>
+                  <h4 class="ms-2">IB Biology 2025 QuestionBank (parts merged)
+                  </h4>
+                </div>
                 <div class="flex items-center mt-2">
                   <button id="bmqb" class="btn-primary flex items-center" onclick="toggleModal()">
                     <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
@@ -137,6 +185,19 @@
                   <h4 class="ms-2">IB Chemistry 2025 QuestionBank (split by parts)
                   </h4>
                 </div>
+                <div class="flex items-center mt-2">
+                  <button id="chemqb25-merged" class="btn-primary flex items-center" onclick="toggleModal()">
+                    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
+                      fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"
+                      stroke-linejoin="round" class="me-2">
+                      <circle cx="12" cy="12" r="10"></circle>
+                      <line x1="12" y1="8" x2="12" y2="16"></line>
+                      <line x1="8" y1="12" x2="16" y2="12"></line>
+                    </svg> Add
+                  </button>
+                  <h4 class="ms-2">IB Chemistry 2025 QuestionBank (parts merged)
+                  </h4>
+                </div>
                 <div class="flex items-center mt-2">
                   <button id="compsciqb" class="btn-primary flex items-center" onclick="toggleModal()">
                     <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
@@ -280,6 +341,19 @@
                   <h4 class="ms-2">IB Physics 2025 QuestionBank (split by parts)
                   </h4>
                 </div>
+                <div class="flex items-center mt-2">
+                  <button id="phyqb25-merged" class="btn-primary flex items-center" onclick="toggleModal()">
+                    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
+                      fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round"
+                      stroke-linejoin="round" class="me-2">
+                      <circle cx="12" cy="12" r="10"></circle>
+                      <line x1="12" y1="8" x2="12" y2="16"></line>
+                      <line x1="8" y1="12" x2="16" y2="12"></line>
+                    </svg> Add
+                  </button>
+                  <h4 class="ms-2">IB Physics 2025 QuestionBank (parts merged)
+                  </h4>
+                </div>
                 <div class="flex items-center mt-2">
                   <button id="psychqb" class="btn-primary flex items-center" onclick="toggleModal()">
                     <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"
@@ -325,9 +399,9 @@
           </div>
           <div class="m-0 mt-2 overflow-auto p-0 font-serif max-h-60vh">
             <div class="font-sans">
-              <h3>· Why are QBv6 (2025 sciences) questions split by parts?</h3>
+              <h3>· The 2025 science questionbanks have very few questions. Will you merge the previous questionbank into it?</h3>
               <br>
-              <p>Ask IB ¯\_(ツ)_/¯ Full combined version coming soon!</p>
+              <p>Soon™... it requires huge manual work because the syllabus changes are big.</p>
               <br>
               <h3>· I tried to save all the questions as PDF, and my computer got frozen!</h3>
               <br>
diff --git a/app/index.js b/app/index.js
index 8402f09..6de3506 100644
--- a/app/index.js
+++ b/app/index.js
@@ -11,6 +11,21 @@ function toggleMS(){document.getElementById("markscheme").classList.toggle("hidd
 function toggleR(){document.getElementById("report").classList.toggle("hidden")}
 function toggleHelp(){document.getElementById("helpmenu").classList.toggle("hidden")}
 function toggleDownAllQs(){document.getElementById("addalltoPDFbtn").classList.remove('hidden');document.getElementById("generatePDFbtn").classList.remove('hidden')}
+function toggleFilters(){document.querySelector(".selectables").classList.remove('hidden')};
+
+
+function checkWidth() {
+    const btn1 = document.getElementById('generatePDFbtn');
+    const btn2 = document.getElementById('addalltoPDFbtn');
+    if (window.innerWidth <= 480) {
+      btn1.style.display = 'none';
+      btn2.style.display = 'none';
+    } else {
+      btn1.style.display = '';
+      btn2.style.display = '';
+    }
+}
+window.addEventListener('resize', checkWidth);
 
 
 function toggleDarkMode() {
@@ -56,7 +71,7 @@ document.addEventListener("DOMContentLoaded", () => {
     }
 });
 
-function startRandomTimerLoop() {
+/*function startRandomTimerLoop() {
     var randomTime = Math.floor(11 * Math.random()) + 20;
     setTimeout(() => {
         alert("Provided by pirateIB\nhttps://pirateib.xyz");
@@ -67,7 +82,7 @@ window.onload = function() {
     setTimeout(() => {
         startRandomTimerLoop();
     }, 300000);
-};
+};*/
 
 /*function generatePDF() {
   const selectedQuestionIds = JSON.parse(sessionStorage.getItem("selectedQuestionIds")) || [];
@@ -94,7 +109,6 @@ function generatePDF() {
   const selectedQuestionIds = JSON.parse(sessionStorage.getItem("selectedQuestionIds")) || [];
   if (0 === selectedQuestionIds.length) return alert("Select some questions first!");
 
-  // Prompt the user for including markschemes
   let includeMarkschemes = null;
   while (includeMarkschemes !== "yes" && includeMarkschemes !== "no") {
     includeMarkschemes = prompt("Do you want to include markschemes? (yes/no)").toLowerCase();
@@ -177,10 +191,12 @@ if (event.key === 'Escape') {
 const fileNameMap = {
   'bioqb': 'Biology QB.json',
   'bioqb25-split': 'Biology 2025 QB split.json',
+  'bioqb25-merged': 'Biology 2025 QB merged.json',
   'bioqb25-full': 'Biology 2025 QB full.json',
   'bmqb': 'Business Management QB.json',
   'chemqb': 'Chemistry QB.json',
   'chemqb25-split': 'Chemistry 2025 QB split.json',
+  'chemqb25-merged': 'Chemistry 2025 QB merged.json',
   'chemqb25-full': 'Chemistry 2025 QB full.json',
   'compsciqb': 'Computer Science QB.json',
   'destechqb': 'Design Technology QB.json',
@@ -193,6 +209,7 @@ const fileNameMap = {
   'mathaiqb': 'Math AI QB.json',
   'phyqb': 'Physics QB.json',
   'phyqb25-split': 'Physics 2025 QB split.json',
+  'phyqb25-merged': 'Physics 2025 QB merged.json',
   'phyqb25-full': 'Physics 2025 QB full.json',
   'psychqb': 'Psychology QB.json',
   'sehsqb': 'SEHS QB.json'
@@ -278,7 +295,8 @@ async function loadJSON(filename) {
     }
 
     try {
-        const response = await fetch(`../assets/jsonqb/${filename}`);
+        const response = await fetch(`https://pub-59370068cd854c158959e7ca4578e5bd.r2.dev/${filename}`); // ../assets/jsonqb/
+
         if (!response.ok) {
             throw new Error('Network response was not ok');
         }
@@ -298,17 +316,20 @@ async function loadJSON(filename) {
             };
         });
         sessionStorage.setItem('selectedQuestionIds', '[]');
+        sessionStorage.setItem('visibleIDs', '[]');
 
         setTimeout(() => {
             processData(data, filename);
             hideLoading();
             sessionStorage.setItem('selectedQuestionIds', '[]');
+            sessionStorage.setItem('visibleIDs', '[]');
         }, 0);
 
     } catch (error) {
         console.error('Error fetching JSON:', error);
         hideLoading();
         sessionStorage.setItem('selectedQuestionIds', '[]');
+        sessionStorage.setItem('visibleIDs', '[]');
     }
 }
 
@@ -318,9 +339,12 @@ function processData(data, filename) {
       jsonDataFetched = true;
       currentFileName = filename;
 
+      jsonData = data;
+
       topics = [...new Set(data.flatMap(item => item.topics))].sort();
       subtopics = [...new Set(data.flatMap(item => item.subtopics))].sort();
       renderTopics();
+      renderSubtopics();
 
       const fragment = document.createDocumentFragment();
 
@@ -379,7 +403,7 @@ function processData(data, filename) {
         const content = `
                     <h3>${questionid}</h3>
                     <h4><b>Topics:</b> ${topics.join(', ')}</h4>
-                    <h4><b>Subtopics:</b> ${subtopics.join(', ')}</h4>
+                    <h4><details><summary><b>Subtopics</b> </summary>${subtopics.join(', ')}</details></h4>
                     <div class="square-container">${question}</div>
                 `;
 
@@ -453,6 +477,7 @@ function processData(data, filename) {
       domCache.rightCol.appendChild(fragment);
       updateSquareContainers();
       toggleDownAllQs();
+      toggleFilters();
 
 }
 
@@ -511,7 +536,29 @@ function createContainer(type, questionid, filename, content, parent) {
   parent.appendChild(container);
 }
 
+function renderSubtopics() {
+  const subtopicListContainer = document.getElementById('subtopic-select');
+  subtopicListContainer.innerHTML = '<option value="">All</option>';
+  const fragment = document.createDocumentFragment();
+
+  subtopics.forEach(subtopic => {
+    const option = document.createElement('option');
+    option.innerText = subtopic;
+    option.value = subtopic;
+    fragment.appendChild(option);
+  });
+
+  subtopicListContainer.appendChild(fragment);
+}
+
 function renderTopics() {
+  currentFilters.level = currentFilters.paper = currentFilters.subtopic = null;
+  document.getElementById('level-select').value = '';
+  document.getElementById('paper-select').value = '';
+  document.getElementById('subtopic-select').value = '';
+
+  const topicListContainer = document.getElementById('topic-list');
+  topicListContainer.innerHTML = '';
   const fragment = document.createDocumentFragment();
 
   topics.forEach(topic => {
@@ -519,22 +566,127 @@ function renderTopics() {
     label.classList.add('topic-label');
 
     const checkbox = document.createElement('input');
-    checkbox.type = 'checkbox';
-    checkbox.name = 'topic';
+    checkbox.type  = 'checkbox';
+    checkbox.name  = 'topic';
     checkbox.value = topic;
 
-    checkbox.addEventListener('change', () => {
-      document.querySelectorAll(`div[class*="${topic}"]`)
-        .forEach(div => div.classList.toggle('hidden'));
-    });
+checkbox.addEventListener('change', () => {
+  document.getElementById('level-select').value = '';
+  document.getElementById('paper-select').value = '';
+  document.getElementById('subtopic-select').value = '';
 
-    label.append(checkbox, topic);
-    fragment.appendChild(label);
+  currentFilters.level = null;
+  currentFilters.paper = null;
+  currentFilters.subtopic = null;
+
+  const checkedTopics = Array.from(
+    document.querySelectorAll('input[name="topic"]:checked')
+  ).map(cb => cb.value);
+
+  applyAllFilters('topic', checkedTopics);
+  applyAllFilters('level', null);
+  applyAllFilters('paper', null);
+  applyAllFilters('subtopic', null);
+
+  const visibleIds = Array.from(
+    document.querySelectorAll('#right-col > div:not(.hidden)')
+  ).map(div => div.id);
+  sessionStorage.setItem('visibleIDs', JSON.stringify(visibleIds));
+});
+
+    label.append(checkbox, document.createTextNode(topic));
+    fragment.append(label);
   });
 
-  domCache.leftCol.appendChild(fragment);
+  topicListContainer.appendChild(fragment);
 }
 
+function findRecordById(qid) {
+  return jsonData.find(item => item.question_id === qid) || {};
+}
+
+
+const currentFilters = {
+  level:    null,
+  paper:    null,
+  topic:    null,
+  subtopic: null
+};
+
+function applyAllFilters(type, value) {
+if (type === 'topic' || type === 'subtopic') {
+  const arr = Array.isArray(value) ? value.filter(Boolean) : [];
+  currentFilters[type] = arr.length > 0 ? arr : null;
+}
+else {
+  currentFilters[type] = value || null;
+}
+  document.querySelectorAll('#right-col > div').forEach(div => {
+    const qid   = div.id;
+    const record   = findRecordById(qid);
+    let hide    = false;
+
+    // 1) Level
+    if (currentFilters.level) {
+      const ok = currentFilters.level === 'standard'
+        ? qid.includes('.SL.')
+        : (qid.includes('.HL.') || qid.includes('.AHL.'));
+      hide ||= !ok;
+    }
+
+    if (currentFilters.paper) {
+      const pap = currentFilters.paper;
+      const regex = pap === '1'
+        ? /\.1(?:[ABC])?\./
+        : new RegExp(`\\.${pap}\\.`);
+      hide ||= !regex.test(qid);
+    }
+
+    if (!currentFilters.topic) {
+      hide ||= true;
+    } else {
+      const ok = (record.topics || []).some(t =>
+        currentFilters.topic.includes(t)
+      );
+      hide ||= !ok;
+    }
+
+    if (currentFilters.subtopic) {
+      const ok = (record.subtopics||[])
+                  .some(st => currentFilters.subtopic.includes(st));
+      hide ||= !ok;
+    }
+
+        div.classList.toggle('hidden', hide);
+      });
+    }
+
+
+
+document.addEventListener('DOMContentLoaded', () => {
+  document.getElementById('paper-select')
+    .addEventListener('change', e => {
+      applyAllFilters('paper', e.target.value);
+    });
+  document.getElementById('level-select')
+    .addEventListener('change', e => {
+      applyAllFilters('level', e.target.value);
+    });
+
+  document
+  .getElementById('subtopic-select')
+  .addEventListener('change', e => {
+    const vals = Array.from(e.target.selectedOptions)
+      .map(opt => opt.value)
+      .filter(v => v !== '');    // ← remove the "" entry
+
+    applyAllFilters('subtopic', vals);
+  });
+
+});
+
+
+
 function updateSquareContainers() {
   document.querySelectorAll('.square-container').forEach(container => {
     const firstChild = container.children[0];
@@ -565,4 +717,6 @@ function resetState() {
   domCache.rightCol.innerHTML = '';
   document.querySelectorAll('.topic-label').forEach(label => label.remove());
   sessionStorage.setItem('selectedQuestionIds', '[]');
-}
\ No newline at end of file
+  sessionStorage.setItem('visibleIDs', '[]');
+  checkWidth()
+}
diff --git a/assets/jsonqb/Biology 2025 QB merged.json b/assets/jsonqb/Biology 2025 QB merged.json
new file mode 100644
index 0000000..1c92ebf
--- /dev/null
+++ b/assets/jsonqb/Biology 2025 QB merged.json	
@@ -0,0 +1,3455 @@
+[
+  {
+    "question_id": "19M.3.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Membrane structure can be investigated using a technique known as freeze fracture.<br/>Cells are frozen and then split. Fracturing often occurs between the two phospholipid layers of membranes in the cell. An electron micrograph of such a fractured membrane is shown.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: © Science Photo Library]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the scale bar, calculate the magnification of the image.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how electron micrographs such as this helped to falsify the Davson–Danielli model of membrane structure.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how the amphipathic nature of phospholipids allows them to form bilayers.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"mjpage\"><math alttext=\"\\frac{{{\\text{scale bar length}}}}{{{\\text{image size}}}} =  \\times 660\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<mtext>scale bar length</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>image size</mtext>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mo>×</mo>\n<mn>660</mn>\n</math></span> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the Davson–Danielli model proposed two layers of protein on either side of a lipid bilayer ✔ <em>OWTTE</em><br/><br/>b. micrographs illustrate proteins in and/or crossing the membrane ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. amphipathic means that they are both <span style=\"text-decoration: underline;\">hydrophilic</span> and <span style=\"text-decoration: underline;\">hydrophobic</span> ✔ </p>\n<p>b. the outside hydrophilic parts are exposed to water ✔ </p>\n<p>c. hydrophobic parts are away from water in the inside ✔</p>\n<p><em>Water or lack of needs to be mentioned for mpb </em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Two marks were awarded for an answer within the given range, since many candidates did not show working, and the question did not request it. Many candidates measured the whole diagram for the numerator instead of the scale bar, and others inverted the formula. A formula in words that appeared correct was not credited if the numbers then negated this. Errors in unit conversion were frequent, but credit was given for working.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Descriptions of protein layers either side of the phospholipid bilayer in the Davson-Danielli model were unclear. Embedded or integral proteins were frequently stated for the second marking point.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The terms hydrophilic and hydrophobic were commonly stated, although sometimes assigned to heads and tails incorrectly; however this was not penalised. Orientation towards or away from water was less often explained.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-2-microscopy-skills",
+      "a2-2-cell-structure",
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>When feed for animals is stored, moisture levels need to be kept low to prevent the growth of fungi. Feed was exposed to 15 % moisture and placed into a respirometer. O<sub>2</sub> consumption was monitored using the respirometer over a period of six days.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2019]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how O<sub>2</sub> consumption is measured using a respirometer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>one</strong> conclusion that can be drawn from the results shown in the graph.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Other than humidity, suggest a variable that would need to be controlled in this experiment.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of fungi in nutrient cycling.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. a CO<sub>2</sub> absorber/KOH is added ✔</p>\n<p>b. a bubble/starting water level is measured ✔ </p>\n<p>c. «the rate of» movement of the bubble/pressure reduction is a measure of O<sub>2</sub> consumption ✔</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. as fungus grows, the rate of oxygen consumption increases ✔</p>\n<p>b. around day 4/5 fungus begins to grow/no growth in days 1–3 ✔ </p>\n<p>c. the rate of fungus growth/rate of respiration is highest after 5 days ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>temperature/amount or type of feed «in the respirometer»/amount of CO<sub>2</sub> absorber<br/><em><strong>OR</strong></em><br/>other reasonable suggestion ✔</p>\n<p><em>Do not accept light</em></p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. act as saprotrophs/decomposers ✔ </p>\n<p>b. rot/feed on/break down organic matter/food/organisms <br/><em><strong>OR</strong></em><br/>return nutrients trapped in organic matter to the cycle/soil ✔</p>\n<p><em>Do not accept detritivores</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few candidates achieved a mark. Some confused a respirometer with a spirometer; others mentioned data logging probes. Credit was given for mention of a water column. Only the highest scoring candidates understood that a carbon dioxide absorber is required to allow pressure changes to be measured.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates described what was shown by the graph rather than making a conclusion related to the growth of fungi. Thus “oxygen consumption increased after day 4” or references to the feed respiring were common answers.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Often more than one answer was given but only the first was marked. Temperature and amount of feed were the most common answers.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-1-9-transpiration-as-a-consequence-of-gas-exchange-in-a-leaf",
+      "b3-1-gas-exchange",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-9-distribution-of-tissues-in-a-transverse-section-of-the-stem-of-a-dicotyledonous-plant",
+      "b3-2-transport",
+      "b4-2-6-saprotrophic-nutrition-in-some-fungi-and-bacteria",
+      "b4-2-ecological-niches",
+      "c1-2-6-variables-affecting-the-rate-of-cell-respiration",
+      "c1-2-cell-respiration"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>Two models of plasma membrane structure are shown.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: diagram from article published in <em>The American Journal of Pathology</em>, <strong>65</strong>, J Singer and G Nicolson,<br/>The structure and chemistry of mammalian cell membranes, 427–437, Copyright Elsevier (1971)]</p>\n</div><div class=\"specification\">\n<p>Phospholipase C is an enzyme that digests the polar heads of phospholipids. Scientists used phospholipase C to test these models of membrane structure. They found that the enzyme could digest the heads of phospholipids in the plasma membranes of red blood cells.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the scientists who proposed model A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Label the model A diagram to show a region of protein.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Label the model B diagram to show a phospholipid.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce <strong>one</strong> conclusion about the structure of the plasma membrane reached by the scientists from their results.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>one</strong> reason for maintaining a pH of 7.5 throughout the experiment.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> technological improvement, other than enzymatic digestion, that led to the falsification of previous models to determine the current model of membrane structure.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Davson–Danielli ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>[Source: diagram from article published in <em>The American Journal of Pathology</em>, <strong>65</strong>, J Singer and G Nicolson, The structure and chemistry of mammalian cell membranes, 427–437, Copyright Elsevier (1971)]</p>\n<p><em>Accept label to top protein.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>[Source: diagram from article published in <em>The American Journal of Pathology</em>, <strong>65</strong>, J Singer and G Nicolson, The structure and chemistry of mammalian cell membranes, 427–437, Copyright Elsevier (1971)]</p>\n<p><em>Accept a label to any part of any phospholipid</em><br/><em>Accept different form of labelling that clearly indicate the phospholipids.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. phospholipids on outside/exposed ✔</p>\n<p>b. impossibility of continuous protein layer «of Davson–Danielli/model A» ✔</p>\n<p>c. supports idea of mosaic pattern of membrane<br/><em><strong>OR</strong></em><br/>supports model B ✔</p>\n<p><em>Award any other valid conclusion. </em></p>\n<p><em>Do not accept \"membrane is made of phospholipids\".</em></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. pH values away from optimum pH affect enzyme<br/><em><strong>OR</strong></em><br/>so enzyme can function properly<br/><em><strong>OR</strong></em><br/>pH 7.5 is the optimum pH for the enzyme ✔<br/><br/>b. sketch of enzyme activity versus pH ✔ <em>Sketch of enzyme activity needs labels.</em></p>\n<p>c. change in pH affects 3D structure of protein/active site<br/><em><strong>OR</strong></em><br/>change in pH denatures the enzyme / protein ✔</p>\n<p>d. substrate does not fit in active site<br/><em><strong>OR</strong></em><br/>interaction of substrate and active site affected ✔</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. scanning electronmicrography / SEM ✔</p>\n<p>b. freeze fracture/etching ✔</p>\n<p>c. X-ray diffraction<br/><em><strong>OR</strong></em><br/>crystallography ✔</p>\n<p>d. fluorescent antibody / marker tagging ✔</p>\n<p><em>Do not accept electron microscope</em></p>\n<p><em>Accept description of process</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were a variety of suggestions for the names of the scientists with Singer and Nicolson, as given in the question paper, being a common incorrect answer.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students could label the areas with protein and phospholipid.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students could label the areas with protein and phospholipid.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates answered that the enzyme acted on the phospholipids but failed to make a deduction about the structure of the membrane.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates answered correctly that a specific pH was necessary for the enzyme to function properly and that deviation from this pH could denature the enzyme.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Stating a technological improvement that led to the currently accepted model of the cell membrane proved more challenging and only the better candidates answered correctly.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b2-1-10-fluid-mosaic-model-of-membrane-structure",
+      "b2-1-membranes-and-membrane-transport",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.12",
+    "Question": "<div class=\"specification\">\n<p>A survey was made of the intertidal zone at Butter Lump Bay, Great Cumbrae, Scotland. The three species of barnacle found were <em>Elminius modestus</em> (EM), <em>Chthamalus montagui</em> (CM) and <em>Semibalanus balanoides</em> (SB). The kite diagram shows the vertical distribution of these three species from the low tide mark at 0 m to 2.25 m above low tide.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: reprinted from <em>Estuarine Coastal and Shelf Science</em>, <strong>152</strong>, M C Gallagher, <em>et al</em>., The invasive barnacle species,<br/>Austrominius modestus: Its status and competition with indigenous barnacles on the Isle of Cumbrae, Scotland,<br/>pages 134–141, 2014 with permission from Elsevier]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the data could have been obtained.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the distribution of <em>C. montagui</em> and <em>S. balanoides</em> barnacles in Butter Lump Bay.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><em>E. modestus</em> is an invasive barnacle while the others are native species. Analyse the data to show how it supports this statement.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> abiotic factor that could have determined the distribution of barnacles.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Barnacles are sensitive to pollution. Outline how it might be possible to use these organisms as indicator species.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">transect</span> across area to be studied ✔</p>\n<p>b. count/record barnacles «per species» in <span style=\"text-decoration: underline;\">quadrats</span> at regular intervals ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. both species present throughout the range ✔</p>\n<p>b. <em>C. montagui</em> has small number of individuals «throughout» <br/><em><strong>OR</strong></em> <em><br/>C.montagui</em> occupies «mostly» upper shore/intertidal zone</p>\n<p>c. <em>S. balanoides</em> «mostly» occupies low tide area ✔ <br/><em><strong>OR</strong> </em><br/><em>S.balanoides</em> has large number of individuals «throughout» ✔</p>\n<p><em>OWTTE referring to maximum numbers at specific heights.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. native species/<em>C. montagui</em> and <em>S. balanoides</em> have niches that don’t overlap much / are distinct <br/><em><strong>OR</strong></em> <br/>range of <em>E. modestus</em> overlaps with both native species ✔</p>\n<p>b. niches of native species «which don’t overlap much» shows competition between native species <br/><em><strong>OR</strong></em> <br/><em>E.modestus</em> invades habitats of <em>C. montagui</em>/<em>S. balanoides</em> resulting in competition with «both» native species ✔</p>\n<p>c. EM has a wide niche/higher tolerance/covers entire «intertidal» range making it easier to invade the habitat ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. exposure/tides/waves ✔</p>\n<p>b. temperature ✔</p>\n<p>c. surfaces «of attachment» ✔</p>\n<p>d. resource availability/nutrients ✔</p>\n<p>e. pH ✔</p>\n<p>f. light ✔</p>\n<p>g. salinity ✔</p>\n<p><em>Do not accept biotic factors eg: “competition or predation”</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. indicator species need particular environmental conditions<br/><em><strong>OR</strong></em><br/>indicator species tolerate only certain environmental conditions ✔</p>\n<p>b. increase/decrease in population size «over time» shows effect of environmental conditions ✔</p>\n<p>c. used to calculate biotic index/index of cleanliness ✔</p>\n<p>d. index of 10/high index number indicates totally unpolluted<br/><em><strong>OR</strong></em><br/>index of 2 or 1/low index number indicates severe pollution ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The data in this question was a kite diagram showing the distribution of three barnacle species. In part (a) most strong candidates could outline how the data was obtained though many failed to use specific vocabulary and did not mention transects or quadrats.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates were able to describe the distributions of the barnacles very well in part (b).</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates had difficulty finding data to support <em>E.modestus</em> being aninvasive barnacle in part (c).</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (e) some candidates chose to describe invasive species in general (without using the data) and others described the data but were not able to attach this to the idea of an invasive species. Many repeated the information given in the question.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b4-1-4-range-of-tolerance-of-a-limiting-factor",
+      "b4-1-adaptation-to-environment",
+      "c4-1-13-resource-competition-between-endemic-and-invasive-species",
+      "c4-1-populations-and-communities",
+      "d4-1-4-abiotic-factors-as-selection-pressures",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>A study was conducted on 25 healthy, non-smoking males to look at the effect of exercise and altitude on ventilation rate. Subjects were first asked to rest in a sitting position for six minutes. They then pedalled for three periods of six minutes at increasing exercise intensity: at 20 %, 30 % and 40 % of their maximal aerobic power. The entire study was conducted either in normal sea level oxygen conditions or in lower oxygen conditions simulating an altitude of 4000 m. The results are shown in the bar chart.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: E Hermand, <em>et al</em>., (2015), Periodic breathing in healthy humans at exercise in hypoxia,<br/>Journal of Applied Physiology, <strong>118</strong>, pages 115–123. https://doi.org/10.1152/japplphysiol.00832.2014]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> other variable that should have been controlled in this study.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the effect of increasing exercise intensity at sea level and at an altitude of 4000 m.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how ventilation rate could have been monitored in this study.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>age/height/fitness level/weight/room temperature/rest in between tests/model or type of bike ✔</p>\n<p><em>Other valid factor. Only mark first factor listed.</em></p>\n<p><em>Do not accept sex, health, smoking, oxygen level or altitude as this already listed.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. in both sea level and 4000m ventilation rate while exercising «at all intensities» is «significantly» more than at rest<br/><em><strong>OR</strong></em><br/>both sea level and 4000m show an increase in ventilation rate «dm<sup>3</sup> min<sup>–1</sup>» as exercise intensity increased ✔</p>\n<p>b. ventilation rate at 4000m «slightly» higher than at sea level for all conditions<br/><em><strong>OR</strong></em><br/>higher ventilation rate at 4000m not «significantly» different as error bars overlap ✔</p>\n<p><em>Accept positive correlation.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «data logging» with spirometer<br/><em><strong>OR</strong></em><br/>chest belt ✔</p>\n<p>b. «tidal» volume recorded for a given period of time<br/><em><strong>OR</strong></em><br/>average «tidal» volume found and multiplied by number breaths per minute ✔</p>\n<p><em>Do not accept confusion with respirometer (measuring oxygen consumption or CO<sub>2</sub> release).</em></p>\n<p><em>Must include a reference to time.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In this question the candidates were asked to look at data on the effect of exercise and altitude on ventilation rate. Most candidates could state one other variable that should have been controlled in this study.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In this question the candidates were asked to look at data on the effect of exercise and altitude on ventilation rate. Most candidates could state one other variable that should have been controlled in this study and could compare and contrast the effect of increasing exercise intensity in the two groups.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Question (c) was poorly answered. Many candidates thought a respirometer would be used to measure ventilation rate while other candidates gave a description of how to measure the number of breaths per minute. This was considered inadequate as the Y axis of the graph indicated that ventilation rate was volume per minute, so reference to volume and time were required in the response.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>Scientists investigated how relative brain mass varied in primate evolution. The graph shows the relative brain mass for species belonging to different primate groups against time of divergence from the common ancestor of modern humans in million years ago (Mya), 0 being the present era.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: S Herculano-Houzel and J H Kaas, (2011), <em>Brain, Behavior and Evolution</em>, <strong>77</strong>, pages 33–44.<br/>© 2011 Karger Publishers, Basel, Switzerland]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the trend in relative brain mass in primates other than humans according to their time of divergence from humans.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>one</strong> reason that the relative brain mass of <em>Homo</em> is different from <em>Parapithecus</em> and <em>Australopithecus</em>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce, with a reason, whether the relative brain mass is a good indicator of brain development.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Primates belong to the phylum chordata. The neural tube of chordates is formed by the infolding of the ectoderm followed by the elongation of the tube. Outline the process of formation of neurons from this neural tube in primates.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>the longer ago they diverged from humans, the greater the relative brain mass ✔</p>\n<p><em>Accept inverse. </em></p>\n<p><em>Do not accept negative correlation.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. human cerebral cortex has extensive folding producing a greater mass ✔</p>\n<p>b. better diet/more protein allowed increase in «relative» brain mass in humans ✔</p>\n<p>c. others had larger body to protect them from predators «without increase in brain mass» ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. not a good indicator because it depends on body mass ✔</p>\n<p>b. not a good indicator as less developed organisms show a larger relative brain mass ✔</p>\n<p><em>Accept answers referring to specific organisms shown</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. neurons formed by a process called neurulation ✔</p>\n<p>b. neurons are «initially» produced by differentiation «in the neural tube» ✔</p>\n<p>c. immature neurons migrate to a final location ✔</p>\n<p>d. an axon grows from each immature neuron in response to chemical stimuli ✔</p>\n<p>e. some axons extend beyond the neural tube to reach other parts of the body ✔</p>\n<p>f. a developing neuron forms multiple synapses ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question concerned how relative brain mass varied in primate evolution. Overall it was not well answered. The decreasing scale on the X-axis caused confusion for a lot of candidates in part (a). </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In parts (b) and (c) few candidates referred to ‘relative’ brain mass thereby providing incorrect responses.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In parts (b) and (c) few candidates referred to ‘relative’ brain mass thereby providing incorrect responses.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In Part (d) many candidates were familiar with the process of neuron formation in primates though some may have been confused by the introduction to the question.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c3-1-4-the-brain-as-a-central-information-integration-organ",
+      "c3-1-integration-of-body-systems"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Ebola virus disease (EVD) is the disease in humans and other primates that is caused by the Ebola virus. Fruit bats are the reservoir for the virus and are able to spread the disease without being affected. Humans can become infected by contact with fruit bats or with people infected by the virus, their body fluids or equipment used to treat them.</p>\n<p>The stacked bar graph shows the epidemiological data for the EVD cases in Conakry, the capital city of Guinea, surrounding suburbs and rural areas in Guinea from the beginning of January 2014 to the end of March 2015.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Adriana Rico, <em>et al</em>. “Epidemiology of Epidemic Ebola Virus Disease in Conakry and Surrounding Prefectures,<br/>Guinea, 2014–2015.” <em>Emerging Infectious Diseases</em> 22.2 (2016): 178–183. PMC. Web. 23 Mar. 2017.<br/>https://wwwnc.cdc.gov/eid/article/22/2/15-1304_article]</p>\n</div><div class=\"specification\">\n<p>The table summarizes epidemiological data from Guinea during the Ebola outbreak in 2014. The data are based on figures supplied by Ebola treatment centres. The last column refers to people who died in places other than Ebola treatment centres.</p>\n<p style=\"text-align: center;\"><img 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RRjwAD8//9Po5OSkech3WW+/TNq6YhEQCIxpoWt5iHeWHxAisJk5R+wg+rmW2X1EUmZR28rlGn/M5DPziiDCDvJlZr+c+Ux6eKZc0iZe/YYg8de5PTp6MMme5TyZ4Z+cPICdZfyxTNppaGe18a7l0V8Q3gQEPm373bt3TV9msM7sfwZs41n+8RK3Nptow/xhF22bgLjHFpYkzRrEtuU3xHOuuR+iV7RJAhKQgATWQgCxSkAsMFONMH71avoP/5TCpG/aWRVAABMyE8k+gjrfKoJY7lIegiSfKyCviHPqRfj06WOzjchF9GddMYKGtJRJYIDD8Xj7oMmLpQ8JJYucY1vOmD5+PBZOEftlvOxPyyfXy23sL8/N2kfgReSxFjtl5Ztz8sHKWXns+rW+/qC+4bxI2mm8GDiP8/40Gfzhj9IXXcojTfoFbRZhTjtnaU4CcdKn6BP0BQLb9A/aPe2SY5bk8JaHfLgPpM2kvSTfXd06c7+rntNuCUhAAhLoTQABwGwdoiKilkwQ+zzYxyLnaPJqnnNjwfvkzpr0WWm7GIWg4AOsCI76rQFCg+sIk3m2ItoRO2Nh//kbY2ID6+YJvKUgDvVGXJWBa4SLi4vR6el4NrSsH9ewiXLaQgYOXCvz/sx0/HaCY0LJNB+yLfNNvORH2Sy16hrGbyfGS6/qepyff/kh3q757kq8vv6gXmPBfTR6/fofk2rO8uUk0owdBpi0Y9owopy/MuCLe/c+L7GaVh7tgTZKesR5PXCkXabPMFCnT9WDOOJgD2928larLC92lYPZnNvFrTP3u+g1bZaABCQggYUIIDbK1+488MfLVsbLOfIhQMRAKWb5kGrXtF0MQ7CwbISZwzKMxdA/Jm8WutjKcgXilaIYsYNwTv4cU15ZpzoOLOo42FbaVNqaffIp1ypjB8ekI7B8gtDGtLlQ/SN9We9yqU0VtfWQciif+iQgeKlbeS7X9m3b1R9tnLum7cqMNli3zdIXXcujHZNX7T/yxtcJbX2qjEOdGcCkXyRdaVPO7fL2q9vb29s+FWAGg0/vGyQggf4E7D93mR0ij0Os812v9zuSVz9exl4NAdvdajiay/IEFmmLztwvz90cJCABCUhAAhKQgAQkMAgCivtBuEEjJCABCUhAAhKQgAQksDwBxf3yDM1BAhKQgAQkIAEJSEACgyCguB+EGzRCAhKQgAQkIAEJSEACyxNQ3C/P0BwkIAEJSEACEpCABCQwCAKK+0G4QSMkIAEJSEACEpCABCSwPAHF/fIMzUECEpCABCQgAQlIQAKDIKC4H4QbNEICEpCABNZFgF/I5LuiZ/3lVy/5tVjiPXv2w8rMSZ4pY5mM+ZVZ8uOXZjcdtll2l7oO3b4udVhlnEV5XF29m/SVefakbS/bX2jPs/on1yiLUNq3qn5A3yzLmFfvoV//eugGap8EJCABCUhAAqNG0D99+v1WUCCitlV2lwoP3b4udVhlHHmskubu5aW43z2fabEEJCABCSxAgJ+6v7r61wIpTSKBwyFwcvJodHPzy9YqTB+lrxoWJ+CynMXZmVICEpCABPaYQF7V87r+9PTbZjlAXV2W/HAtSwrYZznEvHB9/b5ZZpB0bFna8OnTp9akLEU4Ofnd5Br7WaZAuqTPMolcI8Hz5z9O7CNe2/Kgsq7EIf/UY1bZxE2esSPHlF3mi031Mgr4HR//dmJfzSB5kraMS5ou9k2A7cAOnHk7EqbUsfZVyaOsEv4K91n+on0lj5RDmbTHBNLnWs6xhXfKwTb80Rby1iB5lG2pLf4y5+p+RFuvQxeudZocl+2X+qyzLilzFVtn7ldB0TwkIAEJSGCvCNTCJSLi7dufR8fHD5u68uCvxQTxEEsXF38ePX163soEgYVYrYU8ZXLu5cu/tqabd7K0+d69e010BhulcOMkNr9//35STls9ItCob5dQc+D4zZs3d8pGZCEsX7/+e5MlcWrxSh2I9/btP0epA5E5x18CnOC8L29iqFs5IKOe1LH2Veq/6HbM7DNH8kG000Zq5mUZxCFtArbhyzrQbk5Pf3+nbactzeoTdT5dj0ubSEN7orz0oWW4zusXuQ90tXWT8Zy53yRty5KABCQgga0R4KGf2cR6y7U6IBBYnoDAjdC8vLxsohE/gvb09HETj7jsE7jWlifXIuIRB6Th7+zsSZOuFuLNydFoxFKJUsiyH5GcOGyxlfwQUpRDflmOxPnUBbEWsXx5+VOTRepblnN9fd2p7JRxff3vyZIKysbGsn4pEzYR9olD2jGTm9ZZYepEXmW9ya8rm5LT0PYjlKk//OPDsU/ftPKYVodpPGAe/i9e/KUpg7Jo21wrB4d13q9ejWfp8XPZxup4tCWEPzZQB/4oi5BrdZr6OG8H6j7aZh/l0G4oJ30ogxXyXYbrvH5R2z2kY8X9kLyhLRKQgAQkMAgCiPQIdQRXhEPENwKCgDDKLCHHETLsJ04TsfjHjP5YvF00AhcB0iZciiSddrGTPwIijNl5AsItgomZfMQXAeE+3o7FUQT32dkfmvN9/j158semTHgcHT1okmIL4ovw8OHYruQZkckxM9YIOZZ6hO+7d3dnl8krb0LIk/oRUpfku4tb6gx7wosXLyZ1o77xZ81jkXrCLNxoc/zRRjOoC9+2vOMv/BybSvuSJvHYRpxTDgFfxb+Jv+z24uJiMvBm8JdA216WawYNy/SL2LPprctyNk3c8iQgAQlIYCsEEDblrPQsIzJTnzgPHowFa0TYhw8fmkt1vLG4PZqItaQvt4gOlhMkr/LaMvvHx8d3ks/LP3VoWx5zJ6MOBzUHkrSdS1bzRPnNzZhv4s/KK3F2dZtBFvbfu3f/TjXwKe1lHq87iWYcIOSfPXvW5FkOKOkbXItwn5ZF7Yf6eF6bm3edcumjGYRMsyPnS17YQjrKGA8kxoNX4pbxOO7CdRX9InZuequ43zRxy5OABCQggcETqEVIhHBER8R+Lbo4rtPWlX3+/HkTByH1+PHj5q0AQivLfOr4ix7HVma6y6UsZX7MsGZ5DDOxzLDzxoJZ13WGUhTyFuOQQzko+/TpI+9dJjgi/MMr20mEX3fqdlhfzzFtjmU1hPj91au/Ne0R0Z9riZ8t5VJGXU59HHG9jvX1saXcMghMO8eW9D3s7cO1zJP9bfWL2o5Fj12Wsyg500lAAhKQwN4SKB/uzJxmljPLTE5OTpq6IyjKD/VlCQIXs6ynhpRZaUQJgpo8+PBpnzAWgbNTZCkMdckSIbZZLlEuWyAnBhrYHNE3LfcuZU9Lm/PhyHEGNQgzluZg3zwbkk/bdhX2teW7rnMI7oh2BHYEKgzwEeHRo/Hypvv3xzP7nM814tUiu7Q1PGgH8T3tgLZXLq1JvDJt9jOjz0CgLDf7iRe/lvHwL+Xi21WHDJTJN+2Ifezow7W2Kz7gfNd+UeexzWNn7ldEn4bAmkYCMyRp4CvKfuls6Mh8IIb1oBnlckOgM2DrtFmdpQs2g5URQDREYMzKtM8sGG2AtZx9/c8aWR4Um5qdKeubdptzrIvMg5Fz9fU+/ZE65Rsr+nCMLavc1vWo86Yfd11iUqddx3HsHfL9hPs0IqMt1HbTprg/loKBdOfnf2qSIxwQRtQ7grnMt7zXlufZH5f16k66tOFZIi1xyGP89Zuz2wCfE+C+jwArByDj9I9/FT+fl4GQZwJlYUvs6Vt28pm2zcAGfvlLXK7lMw45N2+7avvmlbfq67QXfISvoiVSBizCI7PR+KX0V+JmO40Hg7exsP/8zTdJw3r6aYG17aen75qBx6xy6R/kT1+r46XvTCsj5+v65zzb+r7MQLmOD6vonK5cyzLYp48mlPWo+0XiDG3rzP3QPLIGe+hk3DQQLgYJhECWAWQWMed3bcuDpAyr+OBZmZ/7h0kAEVR+QA8xz0AxogEqXEc8ZFaTc+yzdjlirI0e6cpZ/bHg+mcTFdE27V6NsChtygdX28rIOWxmEFIG8sBGAvVhP2KQbWl/+tMiZZdltu1jB38pmzhwe/36H3fOtaWtz63DvrqMdR7TBvBV2S5SJ9pYAqKzPI7/ynZJ3KRNurQVfFszJ+1YBN9tJ0nLtm7/5E+aUgQTj7zqenTJvyyrz35tA2295NOVa10mNnfpF3W6wRzf9gy/+c3/6JniMKJ/+PDhFjb8vXv334OqdGkb+4btEVhl/0l7e/XqbwtViHTk8Z//+b96p//uuz80aS8vf+qdtkywCA/KTN3Zfv/9f02y/Pjx451rXO/TH4mbvCeZrniH/LuE1HMR/3TJf9VxYi9tY5WhK69VlmleErDd2QaGQmCRtujM/ZaGWcya8qon69/Yr2cgMY1zdbx6Voc4vJZKXmx5zUkgbvnKiv0sOyAOcXMcFF1sY4lI0hI/6yTZttUjebvdDAH8ztuatAn8kjaBBexnbXCWKuQ6M4fxb9LTRuq1lZupyfRSmEli9qjsD9kvZ1LLHGb1lTJevU++ZT8cGo+8nYu/6Od1P8y1+L48pr6czznqR55lKK8Tr62MMn72y/sD6WhbWeqROG4lIAEJSGB1BBT3q2PZOac8XEuxlDWRXEtgP2vwco54pbCIiKsfxKwTLfNK+nnbrrYlH8ovH9Y8tLG5tifx3a6fAD6hjZTiDr/QJvDNvEAcBFkZkmd5btv7CHteCVM37CPke735AFQdiNPWNuf1FTiWfY58yQuxX/bhurxNHdPX+EXI0t+co65t9wDqW/qXY+rCNoH6ZfDHOfIpr3MuZcxiQJry/kA6yq5/wTLlupWABCQggeUJKO6XZ9grBx6IeUiyFowPh/CXdXZcIw4hv46GgEk89gl8QpyQX41jnVnisFaMwFe3Eb/80B37rIdrC31sK9Ozfo+yy3wjtsp47m+GQEQZs9f4G9/gIwICEHFVrkukvRCHcwg1fDeeER+nzfpFRHTa5mZqMr+UfBtI1gVHtOabTMoc5vWVMm65n/6adg6rrKdOPyzjr3of5plRL7fxRX71sbxPxGe5VtqEv2kXfBA59wr8Tv8t61b24dyLWINKnPKekq/qK8tgH/syuEjelEm75Fp8VafzWAISkIAEliOguF+OX+/UmV1DPPGgTMjDmGPi8LBFTBH4lHpCHpIR0nnY8p3LPEjbXqcn7bxtV9vKfHhQIwoJiIuIhdhexnV//QRoNxF9i/zS4Vh48RP1/2zaIW0qg4X1W9+/hIj4q6urSZ+hDvUPlpDzIn0FluGJyI+4jjAtBXB/61eTIjawjX3xGf2QNlGGvr8kStpFfqkxdpGe+xK2sTws9mRAVtrmvgQkIAEJLE/Ar8JcnmGvHPJDKIj7MnA8nkEdz9qX4rhNqCQtgrzLUovEn7XtaluZR12P8pr7mydQzqLW7abLL/LR7mhPpTDbfC26l4iQ5w/BmO8Jb1uSQ46L9JUu3ySE+M+gtrvl3WOSdzlTXqfM4KM+n+P6elufbTuX9GwZ2GQWvjw/a7+8h7XF68K2LZ3nJCABCUhgNgHF/Ww+K7/a9VcNy4ft+IclPv9iXYzi4ZkZOpb1sESBWXRmyRYRZ11tS/luh0cg34GMZXW7ifAv21ZdA2akaTvE4TuJmRmnndGmhhqwEXEf8ZnZ/NLeRftKvj6OvHhblmVxZd7b3s+kAMuG8hZtlTbRHsKW/Lv+gmnZzljKY5CABCQggc0QcFnOZjhPSonwQGyUM+4R6UREqI+XFoxn98t1vcTL623y4I8QYc+DOK+9J4UWO7N+ga6rbUV27g6MQNlu5v3SYUxPG+K4fHvDunLyy1r1xB/aNuvusQtBic11WKSvkAfCObPyl5effwUy35xT9uG6zE0dZ8Cxrl+ELGf++/xSY+yCQz63QF75Zq0MGDbFyXIkIAEJHAoBxf0aPJ31pVn/mi2zogiPzK6xTCDXst6dtfcRE/kQJII98bLWl1nVUnhkPXA5wxrRVs6gIUrKr8Ysq9/HtjKd+8MikM9vMMjD17SdiCsEez4MmnZBOyEOA8cI5VKE0TY/x/04rB/xT/gAACAASURBVMr++lmP2FcKytLQrn2lTJP9sh9GmGYAfX4+/Udfkn7dW+4F1B+fZdAR4dz1FyFn2VgyTf60pzDPfabOA+a512EPbYz2OG5v/X+BtM7f424EaKv07Tw7uqUy1iIEuFfyDC4HxIvks0iabZbdxd4h27ePfURx36VVrjgOYgEBVs4wss8H/iK8KJJ9zpXxeGCS9vND8+715E16BgU8SHkIR6BwvlxqUFct6csy22yr03k8HAK8+WEJSb6BCcvSBiL8Ocf1Mg7LsmhzZVvB92/f/jxpM3xwdWiBukWAPnr0+SfDazvrvpS2Trz0lToNxzCq01IejMt+0pZ2E+e4J9T+ru8Ty9hBXtQ/Yp4tx7lXzfpgLIz5S1rsIN0iv0C6TB0OOS1vlxT2628BCPptfV5pm2V3ITt0+/axj3zFL3B1cU7iMPvi+snQcCuBfgTsP3d5HSKPQ6zzXa/3O5JXP151bN6WIK4Y2GdAVsfx+EsCfdsdjPNWnA/AMyjeVNhm2V3qOHT7ht5H+rZFfOLMfZeWaRwJSEACEpDACgiwRCnLu3hoM2uI+CnDeAnnbyfLMVlWUy5/4jpp+eOtU5ZLcZwlWeTHcfLO57U4n322WUZaLunMMs+UUeZJemxJHolDPbJcrazLIezjgwh76st+eIbToqzJL8vawpr8WeZCmFV24pM+dnAu/izzbVtONK8dJk/SlnFp313sayrQ8g+75vWRut1jQ9n+lu0jSQ/rcMKm9MOyvjCFRa5RpW33Eb8tp6VheUoCEpCABCSwagII4Iie5M0xooTflmD5EsI64itxEBKImcTJebYRkTmXz0N0maUn34QsnWKgUIokrpMnv/7MciwC9cCeMtT1KK+5P/5l5nDow5q2AP8yMGAbt6Wfy9NT9+v0HPPVwaWf8ScClSV+BOJ0bYekLdsDwnbcRv411aZpF7r0Edoa8cpA+aen9JGfv1guuUwfgXXJr2sfHdd/e33EmfuydbgvAQlIQAISWAOBsYAfz7byOYT80i/LNxAQCG22EVSILOLM+1VfPhNS5oXpCHEC57M8hGU5HNcBMcR5bMIG7CQNS0s4z3UEDYIKAYWNEXLJk7jEST3qMvb9mM/glL9FwX5Ecln3vqxJO+/XobuUHX92/VXqRdph2nRZb9pJF/vCqEsfIW7EdsqknWYwW367YPJdto+kHAbXXdgMoY84cx/vu5WABCQgAQmsiUA+jI4IzhciRHSlyHImvZ5tJA4fXk7apMmH5Mlr/EHv8SAh12dt+UB4PhRO+s+Dgs/rx8v0/FYGZRAXAcNML2nGv5D+18kH28s07o8JLMoaQU5g0McfX3nbN+RXqUnHF2rgO+zBlwS+Ja1sexm8ca1LOySvtMuyfZTLVJqC5vzr0kewnT8CIj9CP1mXtufcMn2EPDJwoN2XnGax2XYfUdzH+24lIAEJSEACayaAuJ8W5omhtl/1nZXftHJyvvzRO85FNOV6vc3vYLA8h9/RYKa1FDsIGq5lwFCnP+TjRVkjXvM2Z1F+bW2k7Vzy79sOZ+WVPPtsZ+XX1gfqvOt2PCu/Om19TJsu03dls+0+orivPemxBCQgAQlIYE0EZomDUkS0LaFZk0mTbBEyhPEbgPHa68nFYgfxzhITQoQnM8qIKkR/rhVJ3K0IdGHNLHT4MjPODDtLTPgA5zrDttvhrD5SfpU3S4Dy9mGdPMq8u7LZdh9xzX3pNfclIAEJSEACayBQ/gJ4BBsiJt90wwfwSqGS5QYI5nxzSNItYt4swZT88iN2iErW2BPY5ltXmKnnWo7HH2w8b5ZkZLZ+1q+gp5x933Zh0IV1OQPd9dehu5Q9j/962+H0H0Ls0kcYFGVgtOpfDe/SR7qwGUIfUdzPa+Vel4AEJCABCSxJAPGbtbsIdwQyoh3BTODXjhEtWbuMkCcOX8WH6OBa0vcx5d69+030lFkKxjof8o9IZ7BB+flWEmaMuYa4YZ+QOMTLYID13YcYyhldBmz4bVboyjp5ZBCIH1NWxGiOidul7OQ5bbvqdtjVvi59BJv5gCsBEZ2Bb9mPptVr2vk+faQLmyH0EcX9NG97XgISkIAEJLBCAnywD2FSih2EAMsLIqq5XsdBCC76q74XFxeT8ii3LLutatiSAUauY0++BpNz7Nc2InqoX502eez7Fq4wSSiXj+RcvZ3HGqawjs/YcpxBXn4depGya1vqY+pS+3jRdtjHvi59hMElHNJnsL3uR3V9Zh337SNd2Gy7j/gLtbM87jUJrJgAM1zbWEu74mqsLLtD5HGIdV6mwchrGXqmXZSA7W5RcqZbNYFF2qIz96v2gvlJQAISkIAEJCABCUhgSwQU91sCb7ESkIAEJCABCUhAAhJYNQHF/aqJmp8EJCABCUhAAhKQgAS2REBxvyXwFisBCUhAAhKQgAQkIIFVE1Dcr5qo+UlAAhKQgAQkIAEJSGBLBBT3WwJvsRKQgAQkIAEJSEACElg1AcX9qomanwQkIAEJSEACEpCABLZEQHG/JfAWKwEJSEACEliUQH4dNr9SWueTX7jlO7KJW8d79uyH5hdo88uedXqPJTCLAO2GtsUv5rYFrudXdfkV2fyCceLyS8lpmznndnUEFPerY2lOEpCABCQggY0QuLp61/xCZ369tCyUa4gufkmTX0FFWJUiDGH1+vWr5pdOy1/5LPNwXwKzCFxdXTWXHz582Brt+fPno5ubD6Pr63837ZQBJu0u4fLyp2aXNmpYPQHF/eqZmqMEJCABCUhgbQSYFWUm/uTkpLWM6+vr5vzR0dHo5ORRs59zHERYnZ//qTW9JyUwj8D79++bKGlfdXwGmEdHD0YMPh89ShscpykHl7RRw+oJKO5Xz9QcJSABCUhAAmsjMG/WdFbBiC5m7Z8+PR8prGaR8tosArPeHM1KxzWWhCH6HVzOI7X4dcX94uxMKQEJSEACEtg4gXmzpsfHx41NzJBmTX3OXV5eKqw27rH9KnDemyNqy4w+y3J4w5T2yhIwBgX8IewdXK6vXXy9vqzNWQISkIAEJCCBVROYN2uKsGItc9bZn54+bo4jrLjWtlZ/1Xaa334S6PLm6OLiYvTs2bMRH6alrb18+ddGzGfW/uzsyX7CGUitnLkfiCM0QwISkIAEJDCPQJdZU/Jg2c3NzS/NH8IKgTX+hpyj5oO0fMgW4cU3lvCtJpnhn1e+1yWQmfhp6+0hxCz927c/N+2PD9UywGQ5WGbtiZNvfKIN8u1OhtURUNyvjqU5SUACEpCABNZKoMusaZsBCCuW6WSdM8IKAYbwYvkEs6wGCXQhMO/N0bQ8+CA3S3EYeLLPAJNvc8pbpvrrMqfl4/n5BBT38xkZQwISkIAEJDAIAl1mTdsMjbBiOQTijMC3mDCjz7eaOHPfRs1zNYGub47qdPXgMoNUZv+z9r78qsw6vcf9CLjmvh8vY0tAAhKQgAS2RmCRWVOWPCCcWJ5jkMAyBCLKp32/fVvefKiWz3/wpsi19m2EVn/OmfvVMzVHCUhAAhKQwMoJLDJrirBi1p4ZUtY9E7JW+t27d823mbAsB+FlkMA8Aou8OWLWnnbIh2wT8hsNDFYzY58Z/MRxuzgBZ+4XZ2dKCUhAAhKQwMYILDJrGmF1fn4+sTPfXsIHbPlQLcL+xYsXk+vuSGAagb5vjsrBZQaV5M1nPxD1Z2ffNUWx7j6Dz2lle747ga9ub29vu0cfNZ+s5xP4BglIoD8BvhXA/vOZ2yHyOMQ6f/Z4/z159WdmiuUJ2O6WZ2gOqyGwSFt0Wc5q2JuLBCQgAQlIQAISkIAEtk5Acb91F2iABCQgAQlIQAISkIAEVkNAcb8ajuYiAQlIQAISkIAEJCCBrRNQ3G/dBRogAQlIQAISkIAEJCCB1RBQ3K+Go7lIQAISkIAEJCABCUhg6wQU91t3gQZIQAISkIAEJCABCUhgNQQU96vhaC4SkIAEJCABCUhAAhLYOgHF/dZdoAESkIAEJCABCUhAAhJYDQHF/Wo4mosEJCABCUhAAhKQgAS2TkBxv3UXaIAEJCABCUhAAhKQgARWQ0BxvxqO5iIBCUhAAhKQgAQkIIGtE1Dcb90FGiABCUhAAhKQgAQkIIHVEPjq9vb2tk9WR0ff9IluXAlIQAISkIAEJCABCUhgQQI3N7/0Svl1r9i/Ru5byCJlmGZxAgzA9NHi/NaZUt/cpXuIPA6xzne93u9IXv14GXs1BGx3q+FoLssToC32DS7L6UvM+BKQgAQkIAEJSEACEhgoAcX9QB2jWRKQgAQkIAEJSEACEuhLQHHfl5jxJSABCUhAAhKQgAQkMFACivuBOkazJCABCUhAAhKQgAQk0JeA4r4vMeNLQAISkIAEJCABCUhgoAQU9wN1jGZJQAISkIAEJCABCUigLwHFfV9ixpeABCQgAQlIQAISkMBACSjuB+oYzZKABCQgAQlIQAISkEBfAor7vsSMLwEJSEACEpCABCQggYESUNwP1DGaJQEJSEACEpCABCQggb4EFPd9iRlfAhKQgAQkIAEJSEACAyWwEXH/9u2b0dOn34+Ojr6Z/J2dfTfi/LrC8fFvmzKT/8uXl6Nnz37IYaft9fX7xl7SLhpIS73Ji3BzczOi7jleNN91pNuGn7rUg7aDPw3TCdCmyv6V/bLtXl29a41Ts02bbctjugXbvfL69avRycnvJvWjzXz69OmOUel7qRfb589/nMSp613GY588dyXA4/T02wkP2JRtoa0esKCeNTeOy/s3ea3z3t1mm+e6EcAv+LD2z7y23y13Y0lgNoE8Y9r0DW2yvCfxzKJdGtZE4LZn+M1v/kevFD/++H9uSfPDD/97ku7jx4+333//X835y8ufJufXufMf//E/mzL7lPH+/f9buY3UFx7kva7Q10fYMRQ/tTGhreC/fQiL+KZLveFT9rG2NGl7Hz58aLvcnCMP8nrz5v82x7TTLnlPzXDOhVXwePXqb3f6KfeXb7/9ffNXFp9z6XvUsUvdvvvuD028WdzKcubtr6LOs8oID/p0Qnw/7X777t1/NwyxDX4J7P/nf/6vO22LNkI80mwirJvXJuqwiTLiK3il/6bcRdt+0h/i1nbXz+t5VsAt99jkwDHny/sP9xHuLeX9JvHd3iWwSFtc68w9s0fMFl1c/Hn04sVfJsOTe/fujV6+/Ovo+Pjh6PLypy9miiYR3dkIAf20EcxrK4TZD2ZXHz58OLOMDx8+jI6Ojpq/tojkwezK+fmfRqenj5so9FH2aSP1jG5bHts49+oVs/aPRk+fnjfFc3958uRJ83YsM5gwYjaJ89SJQL34Y7ZpWuD+xXXuYbDbhQAPbMXmBNjA6NWrv+XUZItfeasJtzrk/lzev9kn7ps363vzWtvh8XwCbW+rSLVo259fojEkMCbAW7/nz583z442JtyTCGdnTyaXHz9+3LTN3KMnF9xZCYG1inseDDwE8tCtLX7x4kXj7FI08DAtX6+zZKB8ncw+rx3reGUcysmyHPLOq2YaEft5ZVTnUZdV2zvtuM6n7VU/ZY47wHgZAK+nspSijJ8yuFHDYRNhET/Vr/2pS9lJqROs63htS6MSl/j8wabMq2bAwwo2xGM/fi3zgR/+LNsW+eCH2FXnu6vHEaeIt1mBeLPi0Fevr/89tb/Oynub196+/Xn0+vXfZ5oQRsfHx3fiMSCK+LlzYTRq2g59g8FA+VCq4w3tGB5XV//6wiz8S13rPkFfuXfvfmsd6VsZ6JUZ0k5KwV9ec3/zBHgGcW9jYF6HRdp+nYfHEphGgLZ3dXXVTNhOizPrfH0/mhXXa90JrE3c8xDhL7NkbSZxrZwRo5Eg0Dh3c/NL88fNinO12OOhm3g8ZIhD+jqMH2i/NIMMHlLkS7l9yqrzLI+TT/LmjUTOlfHYx17+CBEkiK26bjR2bshtD9U6z2WPF/ETgh2RjlCKn7ADkZAHSexixM4gjnj4ibT4KoE01B8xkrzwGfm3dXrsPTv7QyNGEHTlbGryIa9Hjx416SmvDMw2kv8m2JblrnOfGfkwmzZAguVnX/+2GeAQt22wVdoKP/4Qt5SxCwGRE1EeP8OIcHT04E4VUifY1IE84HZ+Pn4jUF/ftePxwPbojh/xLee5b7UF6v/gwYPmnjatbbWl89zmCNB28zws74exYJG2n7RuJTCPwMnJSaNnci9ti4+O43r5POZZTHvdpYmTtroN9dzaxP2nTx+bOrfdbKbB4JUxD+M8kIkXx79/P/5AatKWSweIQxpucF1Dn7Jm5UmZ1DGiHTsQ7GUjnpWeZQLcnMv4iFQeqry2WndYxE/UmQFSOXMXoc2ruTKUyyDwE6wY5ROoN3V98uSPd0Q6aah/PVDgXCns65sJ3MmfP8rCxnoZAuURr05b2rxr+9fX143JFxcXkwESgrQcbCHgCNSbWdcMpPABb13qAKeIfzjik6EH2gc280aH/T42w6EO9EnqXt6P6ji7ckxdqCN9LYFjBtrcS+kzdeA6HOnv7969m7QZ7ktl26rTebxZAviCdppnZd/S29p+3zyMf7gEaHvzAveXTNRmkoB7Ehpin57F8zhs8vrXmyxsXll5lczM98eP48FBKXrL9PUDl9frCBIEIeJtXuhT1rS8KIuHX23LvCUCZX6kpeEzw52bMyNaOkyXTlPmtYl9RCIPg4uLzyIh5WZQUz4s6mUQvP5PoN6ITBhmNp/9aT7Pp+tfv26/ITDDWAZECPnSLuCMv8a2f16LXMbf1f229pZ2xcw8bR3fwLoOMCIOzNP+iEP6xEc8IJgpp0vfqsvY1DEPidjMPSRvf6YtC5xlFzxoi30GCLPy2+Y1+iz9AJ+WLCIKy3OlnRn4w7VsY8Rn0Hx5yRLK+ffaMk/3V0tg3MY/3vHPakswNwksTyCrGXhDyH2IMH7mfDf458rytd9ODmubuY+IK4XevCpmtpAHEQ9WwrTXxfVoLzNPSbfKsqbllbJqW6bFn3ae2TQewBHOiNBNzNpjT18/zfJnOEQUTKtveR5fszY+gp48yjcCiRvW+Ll+O5A49RYRQn754N8+Lsmp61weMzjEX2FXXst+Bl95dZ/z5TZvpcKxvDbUfXw/HjR/+QHSNptz/8i1fWkr+D8ivryX8rCln5bnUvdss4SpbZKBc9yvDNsjwHOC++ays591299ejSx5Xwnw9o+JgAh76slkEm2PSQLD6gmsbeYep3V5APCQIS5OZxaCNKxHT5glJhOHbeJFYJbX2vaXKSv5paxZ4ilxZ21p5DR+Zu8z+1x2gllpl73W10/EnxbCIaJgWryc5+GE/xFiEZBci9BPPLawZvaQawwIkq6M07YPW+LSPihvU1zbbNnGObilnc4q//79z29U6nhJH//W14d6zMD15ma81j79iuNSrKZOdbtGuBIvdR9qHWfZxWQJfYX+WM68k4b7DXVnYF0HzqVPUv8wquPtMpu6Lrt4/PkbSL5cVpcBHc/Svm1/F1lo83AJcP8Y32vufpkBFnOP5blsWD2Btc3cYyrrfnEq4qot8OAZP3yOmlkg4vLhjDJMmx2qGwRr8nnYdHlNTJ59yirtKfcpizJrWxg4sK6sPl+mLfdjNw9j1raSby02yvir3u/jJzojtrXN4lJfrnV96GeteP0VjtNmkckX0YENESfzWOQNCD5B4Od4Xrpduo4Ya1s3TztPf6APtrXJ+IB+N/bf+JuoyvrTVwibbJNl+fP2x2L0yx+YYmY6A81wSH2TZ+4btKmE3B/4UPauBtp7BF4t7KnT3c9djL+8gL6Vaxlswy08ShZl2yrPu785Arx1YRla+Zc3MWwzSdan7W/Oeks6FAI8t3l2ZAK2rDfPlvLeW15zfzkCaxX3zJLywEDA87CJSGCLGEFw8BDBufzRABC4aQSZeaKKSZvqkicPGAL5EJcPbEwLNLDkywO/T1nT8uQ8ZZJvBjDYhC3cUHNTLdNH+JIm9nC9/BDppgVoHz+lztQTnyZkPXzbkprEqbcZyGUGiutwDMva50nPt+9wrSw/1+ot7Qo/ZODR5pM6za4d0wapH38JvOGAUURa2ytQrjNI41o4wYdzJXs4019m9a+Uu41t6p/7ATbQhuhffMiYgP3UkUFh4tFP+aP+ZcgAIH21vLYL+/gL/9OvI/YWtTvth/ttAmxpH0NtD7HT7ZhAn7YvMwmsg0Du0Xm2Uwb3KJ5Z+/JtZOvgtkyea1uWE6N4OPBaEMFQvgJGRPDgKZdJcPzs2bPJ97vzMGY9Oh/eygM3+ZIOQclDhpsXorJ+SCcuWxrXWKQwM8nXVXYvq8yn3s9sFzbmAYgd00QudsMis2rl7Ar1ZdlAyaQub13HffwUzohyZoMJ8SfbroH6wgluZT7YwrlpM/ikgzs3Cm4Q80QYAyduItvg2pXFMvHSBmnfGTDiB2Zs6RsEGL1+/Y87rDlHv0h64pEG9mVfxd/0l3mcl6nDMmljP32qrD99i7aSwKCQz2vw4eAE6hYBm3MZ2IRdzu/CFtvpEwQGLulXpe01l/JavQ+Dt2//Obl3cr1uW3Uaj4dHoGvbH57lWrQPBErNEJ20iGbYBxabqsNX/Mhtn8J4WOQbKfqkW1VcBB2No88DalVlrzsffpgJMYKQWiZs20fL2L6OtIgdhO8Q2oy+uevhQ+RxiHW+6/V+R/Lqx8vYqyFgu1sNR3NZnsAibXHtM/fLV+swckCAMuu4rLA/DFr9askbBmbty1ncfjkYWwISkIAEJCABCewGgbWuud8NBNu1kuUijMqYWWaJigJ0df5g2RZsWU4ybZnU6kozJwlIQAISkIAEJLB9Ajs3c8/62qyx3T6+5S1g3dk2lzktX4Ph5tD2LSHDtVbLJCABCUhAAhKQwPIEnLlfnqE5SEACEpCABCQgAQlIYBAEFPeDcINGSEACEpCABCQgAQlIYHkCivvlGZqDBCQgAQlIQAISkIAEBkFAcT8IN2iEBCQgAQlIQAISkIAElieguF+eoTlIQAISkIAEJCABCUhgEAQU94Nwg0ZIQAISkIAEJCABCUhgeQKK++UZmoMEJCABCUhAAhKQgAQGQUBxPwg3aIQEJCABCUhAAhKQgASWJ6C4X56hOUhAAhKQgAQkIAEJSGAQBL66vb297WPJ0dE3faIbVwISkIAEJCABCUhAAhJYkMDNzS+9Un7dK/avkfsWskgZplmcAAMwfbQ4v3Wm1Dd36R4ij0Os812v9zuSVz9exl4NAdvdajiay/IEaIt9g8ty+hIzvgQkIAEJSEACEpCABAZKQHE/UMdolgQkIAEJSEACEpCABPoSUNz3JWZ8CUhAAhKQgAQkIAEJDJSA4n6gjtEsCUhAAhKQgAQkIAEJ9CWguO9LzPgSkIAEJCABCUhAAhIYKAHF/UAdo1kSkIAEJCABCUhAAhLoS0Bx35eY8SUgAQlIQAISkIAEJDBQAor7gTpGsyQgAQlIQAISkIAEJNCXgOK+LzHjS0ACEpCABCQgAQlIYKAEFPcDdYxmSUACEpCABCQgAQlIoC8BxX1fYsaXgAQkIAEJSEACEpDAQAko7gfqGM2SgAQkIAEJSEACEpBAXwKK+77E9jj+27dvRk+ffj86Ovpm8nd29t2I89sK2HN8/NttFb8z5b58edlwiu/a/Pbp06c7/j05+d3o9etXX9Tx+vr9iPRlXjc3N1/EG/KJ8Jhm49XVu6Z+1LUMMHr27IdJ3WFAG9y1+pd1msZikbpyL4DJNu8JZd3cv0ugzT/1PT39Olvah0ECqyAw7b5K3rTN09NvJ/dW2iX3IMN6CCju18N153J9/vzHRsTcu3dvdHPzS/N3ff3vEcd0Qh8Aw3UpYvTy8qfRxcWfJ77DWvzGzTYBwY5Ivbr6VxPvyZM/NkK2FPjE5wb8+PHjSRsg/dnZH3bmRkxbhce0gKCHTVuA0fX19ejt25+b+o9Z3exU/ct6zWLRt648iLlPGIZJYJp/Xr786+S+UN7bj46ORsfHD0dPn54Ps0JatVMEZt1Xea5wz81zhXZI+zs9/f3OPFd2yhmj0Uhxv2seW4O9iDtEAOLwxYu/TEpA2PNg4AGAWHKUPUEzmB18gv9OTx+Pzs6eTOx6/frvzcDs1avxzDyzJtx8Ly4umpsqEXmoc4NNHM49f/58dHLyaJIXbeD8/LwZFAx9thYWCNaPHz82dZjAKHYQp9Tx/PxPxdnxbhg9efKkafOchQ/MGBSVg6AvEg/sxDwWi9SVh7P3gIE5ujCnj3+YEMCX3N8NEliWwKz7Knlzz+VeWg4k0Ru0wVkTMcvadcjpFfeH7P1f607nGs/Qt8/gvHjxohF75YN9LCg/v2JDVEX8MVCY9uqepSA8WBK4KeT1MFtmjZNP4rBNnsRhmQ7HhlHjN2ZBykFZySXLSRD/xEO4TwvEZQDA7EoZSEPacvBQXh/KPu2KdsxDoy3QZq6urqYKmjCq60meBAYNuxLmsehbV9jRNtoGRbvCZJ/t7OMf7q/80c4RXAYJLENg3n0V3cC9o+3Zc3T0oLknL1O+adsJKO7buRzMWQQdf8zOTwtcQzDlQYCwRzwcHx9PXveSlpmj8eu380ZkvXlzd60+DxTKevRoLDCJz7ksE0FAIqTIuxxIsP/u3bsRy4QiMhkUkNbQTgDOcMNH0wKcicdMNeHm5kOzHQ/0Pn/2goEb8YYeqMesmciTk5NmuU3Eetf6sEyH8ODBg65Jth5vHotpBrbVFd8zAVDeA6al9/zmCfT1z+XlZXOfdaC2eV/tY4mL3lfDIs+dHLtdDQHF/Wo47mwunz6NZyMj3LtUhAc9gr+cLWYZCHnw+o3ArFDEfPJEoBNnPGt401xn3XdZNqIEUVquFSc9ZUWUkYbw/v3dD0OmHLejyavOCPeSSd6WMEhjNgV/ECLgEf0PHz6cDNzgvgtr7ttmhsp6zxrAlvHqfZYt0UbrGf063pCO57GYZmtbXRmEw26XLY3mxAAAHipJREFU6j+tfvt4vo9/uK8yi4ovcz/dRybWaXME5t1XaWfcP/N8iWU85xX2obH6reJ+9Uz3OkceDHTSeukGlUZQ1NdfvfrbhAdiP0Jy3NnHSz3G6/V+bGbseVDVITeHnPehFBLtW16TItyZaW278XKeNyC8CeEGmw81sU/Aj/XaSHxOnocWaI88gGa9EdgXJm11Hb9F+3gQ9d9FP/b1T96mZoJkF+uszbtHgLdEDCzLZ0jbs373ajZcixX3w/XNRiy7d+9+U049qp5W+Kx4Ed28DUBUIhKzdIZOjXjMkhzyR9Szfj4dnvTl24BpNnh+OgF4wxVxXgr0thTwZmYfn5Iub1CYtS8D54l7aG9K4AgX2mTbIKlktOv7bXXNw7h8a7br9dwn+xfxD+2Ztpy+vk88rMtwCfCmiPsIb/3zuTkmCNEI0Q3DtX43Lft6N83W6lUR4CbPzZ4Z91mB2WDiznooZOaXD8kQEI6MzhHvWZJDZybwYCJPBCgzyQkR+jl2250APCPsS6azcsiNFd/NWp9PHok7K799uUa7RQgxY5+3TftSt7oe0+qab1HiMxd1IA33Db4y1LAdAn39wz2Xft721nU7NbDUQyKAwK+X9o3F/u58lmmX/OXM/S55a0228lWH3PQRh20BwchfBgJs83q3jM/Dg2sRgYiixOVa+So4H9yrZ4k/fBh/qLPM1/3ZBPAdAgwfIerbhP14cPbNF4M40hJm+ZaZfeLVvppt1W5eZZDLNzrRXhGu+yzs59WVgQ3Lt8q/LE9iq7Dfbhvv65/cc+cN4rdbK0vfRwI8n+pJAp4pPFscbK7H44r79XDdqVwRMMygIw7HazjHgi+iEWGIYMzSBNbPIQyIm0DHpaPWy2oQ9JkxKoUSn7AnZPaJfcrJACOiM/m7nU4A9jDGR9OW4jBjgoDnmzIS8Bf8eZsS38S35RsU2gW+r2ddks++bOEBS9oeHxBPe9+X+pX1OKS6lvU+5P1MnOTN6iGzsO6bJYCA5xmV5wr3WPQDz559f65slvTn0hT3n1kc9B7CEGHOQ5918FkXBxRmiErRSGckLjNBxOMv8bLsJjCJy0w+QglxmcDxOI/3kzxYupNZ5zyIEt9tOwGWjmRJ1fjtytgf8Qu+JOCD16//0eznGh+k5aaLkE3AX/gb0Z94XCvjJO6+bfnwNw8d/sqfSQ8HlqLsSzikuu6Lz5atB+2a+0B5H142T9NLoAsBnis82/OM4rk0fiZ9fvZ0ycc43Ql8dXt7e9s9Oq/vv2le0/ZJY9zNEhiSjxgssMxh1qzyZulst7Qh+Wa7JMalHyKPQ6zzMm1NXsvQM+2iBGx3i5Iz3aoJLNIWnblftRfM7w6B8Qdm7v7s9J0IHkhAAhKQgAQkIAEJrIyA4n5lKM2oJJAPcLLOjmUeBglIQAISkIAEJCCB9RPwqzDXz/ggS2CNfrlO/yAhWGkJSEACEpCABCSwYQLO3G8YuMVJQAISkIAEJCABCUhgXQQU9+sia74SkIAEJCABCUhAAhLYMAHF/YaBW5wEJCABCUhAAhKQgATWRUBxvy6y5isBCUhAAhKQgAQkIIENE1Dcbxi4xUlAAhKQgAQkIAEJSGBdBBT36yJrvhKQgAQkIAEJSEACEtgwAcX9hoFbnAQkIAEJSEACEpCABNZFQHG/LrLmKwEJSEACEpCABCQggQ0T+Or29va2T5lHR9+Mbm5+6ZPEuBskgH8MEpCABCQgAQlIQAL7QaCv7vYXavfD75Na0AAcgE1wDG5H39x1ySHyOMQ63/V6vyN59eNl7NUQsN2thqO5LE+Attg3uCynLzHjS0ACEpCABCQgAQlIYKAEFPcDdYxmSUACEpCABCQgAQlIoC8BxX1fYsaXgAQkIAEJSEACEpDAQAko7gfqGM2SgAQkIAEJSEACEpBAXwKK+77EjC8BCUhAAhKQgAQkIIGBElDcD9QxmiUBCUhAAhKQgAQkIIG+BBT3fYkZXwISkIAEJCABCUhAAgMloLgfqGM0SwISkIAEJCABCUhAAn0JKO77EjO+BCQgAQlIQAISkIAEBkpAcT9Qx2iWBCQgAQlIQAISkIAE+hJQ3PclZnwJSEACEpCABCQgAQkMlIDifqCO0SwJSEACEpCABCQgAQn0JbBz4v7161ejs7PvRkdH30z+OH779k3fuo+ePv1+dHz8297puiZ4+fKysfH6+n3XJFuJB4eSZ73P9X0I+LpvXRZJsw1W9IuTk99N/Eg9P336dMcUjktfE590daDOdRvgeOjtOPXgftDm56urd631qu8Bu17/cMiW+1Bdx/pa/P3s2Q+5NNkmfeIser+dZOjOSgnUz8P4Cb8ldO37ie9WAl0J8Fyo2+Dz5z9OknM9bbJtO+3eNMnAncUI3PYMv/nN/+iZYnXRLy9/uqV8tmX4/vv/as6/evW38vTcfdL9x3/8z7nxFo0Qe9+//3+LZrFQur4+Cr+PHz8uVN4+J6J9wGdVoa9vupRLuy/7BX789tvfN39l+pz78OFDczrts+w3tFXyKs+Veax6f9U80qfbfJb6pv5tddlE/Vdd57Z65Bx1pg233efC4927/070ps18990fJsdv3vzfpj38+OP/mZzjOnWYxXESeQU7m+S1AnM3ngW+/eGH/z2z3C59f2YGB3jRdjff6dwDaH/cE6IfuGfk3Kwccv/Z1LNmli1Dv7ZIW9ypmfvLy59GZ2dPRk+fnt8Zybx8+dfR0dHRiOsGCRwagVevmLV/NOkX9+7dGz158qSZac8bLbbMoFxcXDR9BUb0I/oN6ROur6+bXfLbpUDdTk+/HT1+/Hiq2R8+fGjqS52nhV2tf10fZmqZTfv48WPTNurrHL969bfR8fHDO9fhxxuOm5ubJsm7d7ztOBpdXPx5ksWLF39p9oln2C4B/ISvHz58ONWQrn1/agZekMAUAtxDaH/cE3juEE5PH4/Oz//U3Ee4L7cFzjO7j57jz7B6Ajsj7mlA/OWhU6O4uvrXiL8EXvXUr+a5yfFaKIIncWlkeV2EQCivT1taQzz+CNhFel5pZ2lErnH9zZs3zWtx4mBX+bqU65RXvtZqi9MUNIB/dMrSVupb1ieMS6Z5RVfXk3zaOn+ZFhb10pHyOkxrn3GddPgjfqVszpVtgrZULlMhLjbVbQz/lvHq8rbtlrdvfx69fv33mWZww725+eWOkGtL8P49r1CPmr+260M9h98QptRzWkCMzhu07Gr96zrT9nnYlqK8jjPr+NOnj81lmDEAKEPaB8LfsF0CGWDNatdd+/52a2Lpu0iA+wvPlWkTJvWzNHV89uzZUven5ON2OoGdEfc8qLiBcTPjQV4KyunVm38F4cZs3fX1v5tGenx83Ai53DTn5/A5BiI0jf38/PPbBYQl4otOwHXEZ+yn/LEIPWquE4dRL3FqUfu5pO3s0VFhTwivJ0/+eKc+sYw6Z8BFHHhGWFNH/gi1mI5veRtDHEb18CE/Ankk7+RD2yAOLBPYx17ikFeb6Ds7+8OvA8axPdhLutiZvLCdMmaVl7hD2DJg4i0Woqyt3rERZjBilj+BvnDv3v1mwJSBUe2jxB3SFh/Xb/RK+z63h5vJQJv6waAMu1r/sg7s41OYzArcZ2gr5b2OiQjus7SdMGt7cNNGpj24Z5XptdUS4G1U7n/pr10mH9r6/motM7dDJkC7JNQTA5zj+T2eJHzStN1D5rTOuu+MuAdCRBoPo8zeMhvLftsMcFdwLFXgBkng9RIPs8vLzx9G6poP6SKmsiUt4jaNHLHKtSwhoi48RMvXqoiUCNuuZa8iHizzgMi2FLpwJuCH8MLW1Id6JCAQ4JE/HibslzPM7JNP8oUFf2FEXgyGiMPSEcQENwZ4klcCQoaySVuGLNEofZHrDJzID98nkOfJyUnTlsq6cD5LEYhLvm3lJZ9tbbEJv/FwZ78U7aVN6TswwE8ln5ub8U05g1HaIQPeDITKfIa0Tz1mhdwfaEsZmI4Ha58HrKTf1frXdZ/Hg/jpZwze0t+pf9lH63zL47Aqz7m/WQJZRsZ9LJMPTCxx367vh1g2q+9v1nJL21cCeU7zXCmf06kvz3Luw0wuGNZHYKfEPQ0CYclNDNGXmTpmwRE0mQ3vg4vGF+GddDwYIwZyrsu2zidpSvHEuUePHk3EIWVhAzNm2J8Z6qTd5Pau6BnPZpezfzwsqCN+KEPqU9r+4MGDSRQ6O39tgoP88hDKg6oc6JAJdiE44ITvESU8pPhj0FAOQCaFNrMGx+XhnX3yIC9C8spbgzsRW2Yf6vrX8bd1jF2fH/B/ati09Ym8XYIrg4DT0983W+zmHMt8yjoymMJ/cNrVQNuDTdmeqQsDNdpf3pLta/3b/Ea/4T7HG6u0G+5VLLWjXRiGT4D7Im22fPZEVHFvrMOsvl/H9VgCfQlw3+C+cnT04M6EWPLhOcL9ljZaPmNy3e3qCOyUuC+rjbDnRsWNjQc2wo/Z8L4PJV4v14FGRz5986rzyXHdiHNM/uy/fv2PZnYU+8cd45tmS0cYSgiP2F7alXPTeGX9LgIqM4TZMiBI3nz4j5D8yjKyj8DkDUPEGHHLWfXE67JFzDMovLq6aqIzSMmAsUv6IcehHvQJPvA0LcCO2X3aWTkwq+OTD3Ez+Kqv7/IxbyUIeY3cVpd9rD8PWHxevwVjNo32kP7VxiPneIAbhkkAsY8fp92Tu/b9YdZOq4ZKAP3C8x5NRhurQ54zPGsN6yWwM+KeGUgEYduMOqNAHlLcyDILvAw28qFhtjXOZfJN2txwEQ0EthmoMFhBmNEJ6ChDCeER20u7ci71Ka+xnwEU9coMYb0l//v3xwOt5Ffng29pB+QDJ5jxt0ggn3F+f21mqsmHfKeVvUgZ204D93n1SRufF4+6JO6267WO8tP2ZuW9T/WPv+s+yzH15IPFbDlum2TgAV6nncXOa5sngP9mtdlcS1vYvIWWuC8EuEeMP5vFsr5/TL038CF82h2azbBeAjsj7lkLTWD5SlvIB4vKpR/1TavtIcW60Toeoq/Mh/LqOH3Wm9YDjny9XPkqNXWi4SM0afx9ykj6dW5hwuCqZpFvzWirD/YgAvjLDHlpIzPn/BEyi4qwKAPLBJitz8xxvWxn1qxrmU+5nzJqP6eMMu7Q92HTNhAcC7Dx7Oq0wXF8OfbP+EeeiFuGzADu8mxL6l/3xfib+wvXmEDYx/qX/mQ/fbXtnsj19LH0+TI9afhLnPKa+5slQN9HVNWB+3TubWn79cRY2ffr9B5LoCsB3vJlKd/bt/+cKuzJjzaYe0/X/I23GIGdEfc0CGZWuVGxljA3JqrNORoYr5QzG5GHUm5ozITnQ6wlKvIZv0oarzHlRsm5zAhnUFF+F3jilPnM2mcpSezAVmzJh0nYrwUF5xAaQxvdhknJK/Xh2qyZPOoLg1KE4kfO5UOt+Iw/6s8fgfwREqRv8wXX+SOUbaI5MeNfhEnZJrAtfuqT14xiNnIJNrSX2E6h4Ra2fMYA/5QfFIcr7RrmtLXwz3cXx3gYpf/l3K5t2+qPj5ks4Br12+f61/6iLVBv6p++Rhz6JPdQrhEY0NFOOJ9Qx8l5t5snkL5fDlp5FpbPsLa2X/f9zVtuiftAgLbG/YD7J5//iP5qqxttjnY5Sye0pfPcYgR2RtxTPQQk66tpJMxYZN02M8ecR/wncDwWLd828RAx3AjrQKNkxjj5cT0f3mSf6+SFcEp5PPA43zWwZIgBAekRTuSXhyeiimMesskfkYmtnB9SoFPChhBe1Ae/lOzbbKa+rMMbd+5vmroya8o5/JRA/sSFATwQlsm/zRf4nuuEPjP42JvBYrjnrQl5lUI5tg11Sz1oL2FGfeDCB2PDlrrxupSQ+vJBWj5QGp9yjX3aZPxL3Jxvdnb0X+rPNvVntom+XPazfa1/m9uoN/7n4Rwm9E/aCZwItAX6FwOAMg5pE6ctb89thgB9H/+UPuRZQjuOiErbx6L4sK3vb8ZiS9knApn05HlZPjPSzjLxRp3z2bvyyzb2icXQ6vIVP7vbxyicxnppw3AJ6CN9M1wCdy07xLZ6iHW+6/V+R/Lqx8vYqyFgu1sNR3NZnsAibXGnZu6XR2QOEpCABCQgAQlIQAIS2F8Civv99a01k4AEJCABCUhAAhI4MAKK+wNzuNWVgAQkIAEJSEACEthfAor7/fWtNZOABCQgAQlIQAISODACivsDc7jVlYAEJCABCUhAAhLYXwKK+/31rTWTgAQkIAEJSEACEjgwAor7A3O41ZWABCQgAQlIQAIS2F8Civv99a01k4AEJCABCUhAAhI4MAKK+wNzuNWVgAQkIAEJSEACEthfAor7/fWtNZOABCQgAQlIQAISODACivsDc7jVlYAEJCABCUhAAhLYXwJf3d7e3vap3tHRN6Obm1/6JDHuBgngH4MEJCABCUhAAhKQwH4Q6Ku7v96PaluLEKABOAALjeFt9c1dnxwij0Os812v9zuSVz9exl4NAdvdajiay/IEaIt9g8ty+hIzvgQkIAEJSEACEpCABAZKQHE/UMdolgQkIAEJSEACEpCABPoSUNz3JWZ8CUhAAhKQgAQkIAEJDJSA4n6gjtEsCUhAAhKQgAQkIAEJ9CWguO9LzPgSkIAEJCABCUhAAhIYKAHF/UAdo1kSkIAEJCABCUhAAhLoS0Bx35eY8SUgAQlIQAISkIAEJDBQAor7gTpGsyQgAQlIQAISkIAEJNCXgOK+LzHjS0ACEpCABCQgAQlIYKAEFPcDdYxmSUACEpCABCQgAQlIoC8BxX1fYsaXgAQkIAEJSEACEpDAQAko7gfqGM2SgAQkIAEJSEACEpBAXwKK+77E9jD+6em3o+Pj37bW7OnT70dHR9+Mnj37obnO8bS4rRnMOEm5/BGur9835bx8eTkjhZe6EDg7+26En+pwc3Mz4hr+zN/z5z/W0Ub4AB8nTnz/RcQdP1G2v7IqZd3DgC1tdN8CdSrbBPu0kzK8fv1qdHLyu0l7oG19+vSpjOL+Fgngi9ynaaf46u3bN3cs6tr37yTyQAI9CVxdvWvuE233yi7ttGdxRp9BQHE/A86hX+KBwUPi6dPz0YsXf2lwvHz519H19b9Xjub4+OHo5uaXpqyVZ35AGeKzthsrCCLK3r79uWGNLxFupXhH2CP4uYY/+Lu+vm4E4D5hpJ5tnDjHQ4j2nvpnSxvdp8CDmAHO48ePf/XzuF+fnf1hIt7TPp48+eMkToTiPrHY1brQVk9Pfz+6d+/epL2enDxq+jr+TejS9xPXrQQWIcC9k3bWFrq207a0nluMgOJ+MW57n4pOGmF/cfHnva/vrleQG2uEWltdEGTEefLkySgi9fT08Yi/UgS8evW35joCIQHxR5x6RjfXd21LXRjAIIjqwECGUNa/jrMvx8+fP2/qeXb2pKkSPM7Pzxs/Z+b31Stm7RGL55M4tCHaUuLsC49drMfl5U+TwWjsZ2CKL9+8Gc/ed+37Se9WAn0JcD/lfnJ+/qfWpF3aaWtCTy5MQHG/MLr9TThL2HMty3IYjfMamI7N7G+WMCAy6wd/xGfilLPFkOQ618plOeRRLhngep1uf73Qr2ZwQoQj1ttCBPzx8fGdyw8f8sZkLPzvXGg5+PTpY8vZ3TpFm6UNIWiPjh58Yfz797TDo+bvi4t7dCI+p82UASHPm4oIft7yvH799zKK+wMiwD2yrc/zdjVvW1fR9wdUZU0ZGAGe2VdXV83b3mmmdWmn09J6fjECivvFuO1tqlnCflql6dx5LcxDhX0EFEKKEGGfOONlDrMFJWnGA4njyetmlopwk2AwYbhLADaZXb17ZXz04cOHZqcWtPiEkFl5Zl5gH0HANWYAEX2Z8W8S7Oi/8Yz9/YnwqavBzP29e/ebtyAZiLatQ6/T7drxzc24PeB/+lnXutI2mIWjLbSJyl3jsOv2co998OBBMykSH9aTK137/q6z0P7tEDg5ORkxCZBnSZsVXdppWzrPLU5Acb84u71LGWFPxe7fv9+5fsx0ZukOHZzZQDpzBOLl5Vj8lzOAiNFZNwOWA5T5YgxiAnHKLIHhLoFll5FE3DNjC+fyjQlCsPTd3ZJ354j14/xdXFxMNTqil/p+Xmt/PCrXoU9NvEMX4m8G4eO3N+PPV9An2+pKf0Y8IhzZZ2mOYbsE8CG+YLD17h3L5sY+5P7LvTz333lWpi3Mi+d1CbQRmDfps6p22la256YTUNxPZ3NQV3hIMCuOSKezMsPZ9eFQd+5atJNPW5z6XAmcV8pXV/9qxBi28IewYObQsD4CiILxzP2/JmIBsc83cNBGdjXwgKEN0b5nDYR481TPQo0/TDpOv6v1r+2OL2FRvvGBD6wYBJWBPh3xyNsdBgXlEroyrvubIZBlcvimHHzjTyZGmFQxSGDbBGyn2/GA4n473AdZKg92HgyZVS+X1ixrcC34ya/tXMpBYCAosSEfciw/DJp4bldDADHAIIwBHmKW4wTEXJvgy/Vd2NKOGEyWQrar3bCgraYddk035HjxL7P2ZUhd+ezBtBDxyIevDdsjkCV2bZMknOs6EZK2sL2aWPI+E1hVO91nRuuom+J+HVR3ME/ES4QPN/vM4DGTu4qQmcIyr7ZzuZ6BBTOpzEphD0tGMguQeG67EWBdLiHLTpIqPsDn5X6us+0i+Mr4Q9sfv4l41wxesi6ZLef5Y59BzbwwazA6L+3Qrs8TdPPqyucS0l6GVrdDsQcf8TfND/Fhl75/KMys5+YJdG2nm7dsv0tU3O+3fxeuHUKaV/bM5i77+p1lHYio+iHEuWlhLLoe3JndJ32dx7T0nr9LIEtR6tlnZmi5+TLTlxlAZunbQj3L2xZniOeoV5aUlNvUmXO0Udo6Qr9u7/Cg3T169PnrQYdYzz42UXcEfr4uMWlT1/iab8ZqG+AzyM6MXNK63TwB+vW0e2v6fLaz+v7mLbfEQyLQpZ0eEo9N1FVxvwnKO1oGy3MQAH3W37dVNd99W4oEPrA5S6jnZpAZVUQH6ccCf/e/krGN0zrP4UcEHR++y6AKtvzlaw+Jwz6CL9yxibcoDAASb512bjNv2hx/LDcp22a+HSZvtrZp4yrLzjcjlevr6eu0k/iaOAx60mYon8EP/XHWB5NXaad5TSfAG00CfkvAP7Tf3He79P2kdSuBdRDo0k7XUe4h56m4P2Tvz6k7gi7flYzA44G+SODhkg98ZVkEeTNbOi1QLkILQU8afoWR72hHdIwF/u5+uHNandd9/sWLF81sKx9Mhils8UFuvJQPd75tA3/HV/B+/fofd96irNvWbeVPO4UJM9apP7ak/W7LrnWUS19iAD/+ZqpvmvrWdWVAg0hMP4QJ38zCh47pn4btEuDe+vbtP5t7c9or/qG9ci2hS99PXLcSWDWBru101eUecn5f3d7e3vYBwA2E19iG4RLQR/pmuATuWnaIbfUQ63zX6/2O5NWPl7FXQ8B2txqO5rI8gUXaojP3y3M3BwlIQAISkIAEJCABCQyCgOJ+EG7QCAlIQAISkIAEJCABCSxPQHG/PENzkIAEJCABCUhAAhKQwCAIKO4H4QaNkIAEJCABCUhAAhKQwPIEFPfLMzQHCUhAAhKQgAQkIAEJDIKA4n4QbtAICUhAAhKQgAQkIAEJLE9Acb88Q3OQgAQkIAEJSEACEpDAIAgo7gfhBo2QgAQkIAEJSEACEpDA8gQU98szNAcJSEACEpCABCQgAQkMgoDifhBu0AgJSEACEpCABCQgAQksT0BxvzxDc5CABCQgAQlIQAISkMAgCCjuB+EGjZCABCQgAQlIQAISkMDyBL66vb297ZPN0dE3faIbVwISkIAEJCABCUhAAhJYkMDNzS+9UvYW971yN7IEJCABCUhAAhKQgAQksDECLsvZGGoLkoAEJCABCUhAAhKQwHoJKO7Xy9fcJSABCUhAAhKQgAQksDECivuNobYgCUhAAhKQgAQkIAEJrJeA4n69fM1dAhKQgAQkIAEJSEACGyOguN8YaguSgAQkIAEJSEACEpDAegko7tfL19wlIAEJSEACEpCABCSwMQKK+42htiAJSEACEpCABCQgAQmsl4Difr18zV0CEpCABCQgAQlIQAIbI6C43xhqC5KABCQgAQlIQAISkMB6CSju18vX3CUgAQlIQAISkIAEJLAxAor7jaG2IAlIQAISkIAEJCABCayXgOJ+vXzNXQISkIAEJCABCUhAAhsjoLjfGGoLkoAEJCABCUhAAhKQwHoJKO7Xy9fcJSABCUhAAhKQgAQksDECivuNobYgCUhAAhKQgAQkIAEJrJfA/w+hTLPWEgYSDwAAAABJRU5ErkJggg==\"/></p>\n<p style=\"text-align: center;\">[Source: Adriana Rico, <em>et al</em>. “Epidemiology of Epidemic Ebola Virus Disease in Conakry and Surrounding Prefectures,<br/>Guinea, 2014–2015.” <em>Emerging Infectious Diseases</em> <strong>22</strong>.2 (2016): 178–183. PMC. Web. 23 Mar. 2017.<br/>https://wwwnc.cdc.gov/eid/article/22/2/15-1304_article]</p>\n</div><div class=\"specification\">\n<p>An antiviral drug, T-705, was tested in order to establish whether it has potential to treat EVD. The graph shows the data from an in vitro trial of T-705 on cells that had been infected with Ebola virus five days previously. Virus concentration and live cells are shown as a percentage of the control.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Oestereich, Lisa &amp; Rieger, Toni &amp; Neumann, Melanie &amp; Bernreuther, Christian &amp; Lehmann, Maria &amp; Krasemann,<br/>Susanne &amp; Wurr, Stephanie &amp; Emmerich, Petra &amp; de Lamballerie, Xavier &amp; Ölschläger, Stephan &amp; Günther, Stephan. (2014).<br/>Evaluation of Antiviral Efficacy of Ribavirin, Arbidol, and T-705 (Favipiravir) in a Mouse Model for Crimean-Congo<br/>Hemorrhagic Fever. <em>PLoS neglected tropical diseases</em>. <strong>8</strong>. e2804. 10.1371/journal.pntd.0002804.]</p>\n</div><div class=\"specification\">\n<p>In 2015, an experimental vaccine was trialled in Guinea in an area where new Ebola cases continue to develop. Among the nearly 6000 people who accepted the vaccine, no cases were recorded after vaccination. In comparison, there were 23 cases among those who did not accept the vaccine.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the week and year in which the first cases were recorded in the suburbs.</p>\n<p>Week:</p>\n<p>Year:</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on the graph, compare and contrast the progress of the epidemic in the suburbs and rural areas.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> reasons for the overall decline in the epidemic after week 51.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the data for Conakry with the data for the three suburbs.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest reasons for the high percentage of fatal cases at Ebola treatment centres.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on these data, outline the evidence that T-705 has potential to be used as a treatment for EVD.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how vaccination can lead to the production of B cells specific to the Ebola virus.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest possible reasons for the difficulty of preventing or controlling a viral epidemic such as the 2014 EVD epidemic in a remote rural region.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>week 34 <em><strong>AND</strong></em> 2014 ✔</p>\n<p><em>both needed</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. start of epidemic/first cases in rural areas<br/><em><strong>OR</strong></em><br/>epidemic spread to suburbs later ✔</p>\n<p>b. higher maximum number of cases/greater increase in rural areas<br/><em><strong>OR</strong></em><br/>converse for suburbs ✔</p>\n<p>c. increase came earlier in rural areas «than suburbs»<br/><em><strong>OR</strong></em><br/>number of cases peaked earlier in rural areas<br/><em><strong>OR</strong></em><br/>more cases in rural areas «than suburbs» in 2014 ✔</p>\n<p>d. decrease came earlier in rural areas «than suburbs»<br/><em><strong>OR</strong></em><br/>decreasing in rural areas but not in suburbs in 2015/by end of study period<br/><em><strong>OR</strong></em><br/>more cases in suburbs than rural areas in 2015 ✔</p>\n<p>e. «large» fluctuations in both ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «overall decline due to» fewer cases in rural areas ✔</p>\n<p><em>Answers relating to people who died from the disease or develop immunity to it</em>:<br/>b. fewer cases due to deaths of people who had the disease/people recovering<br/><em><strong>OR</strong></em><br/>more people vaccinated/became immune/made antibodies/were not vulnerable to infection ✔</p>\n<p><em>Answers relating to health care workers or availability of resources</em>:<br/>c. more doctors/nurses/medical equipment/treatment centers/hospitals/spending/aid/NGOs ✔</p>\n<p><em>Answers relating to medical techniques used to tackle the epidemic</em>:<br/>d. better treatments/infection control/hygiene/quarantine/new vaccine/new antiviral drugs ✔</p>\n<p><em>Answers relating to the public and patients</em>:<br/>e. education/better awareness/avoidance of infection/taking precautions/vaccination accepted ✔</p>\n<p><em>Answers relating to reservoirs of infection</em>:<br/>f. fewer infected people «who could spread infection»/fewer bats/less contact with bats ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>differences</em>:<br/>a. Conakry has more cases than any of the suburbs<br/><em><strong>OR</strong></em><br/>more cases in total in the suburbs than in Conakry ✔</p>\n<p>b. more male cases in Conakry whereas more female cases in suburbs ✔</p>\n<p>c. higher «% of» <span style=\"text-decoration: underline;\">fatal</span> cases at Ebola <span style=\"text-decoration: underline;\">treatment centers</span> in suburbs than in Conakry ✔</p>\n<p><em>similarity</em>:<br/>d. in both Conakry and suburbs «% of» <span style=\"text-decoration: underline;\">fatal</span> cases in <span style=\"text-decoration: underline;\">treatment centers</span> is higher than outside ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. most serious cases are in/are taken to treatment centers<br/><em><strong>OR</strong></em><br/>treatment centers are set up where there are most cases/most serious cases ✔</p>\n<p>b. long time/distance to travel between contracting disease and arrival at treatment center<br/><em><strong>OR</strong></em><br/>travel to treatment center weakens/upsets/harms the patient ✔</p>\n<p>c. Ebola is a virulent disease/Ebola virus mutated «to become virulent»<br/><em><strong>OR</strong></em><br/>little known about Ebola/new disease so treatments not yet developed ✔</p>\n<p>d. no/not enough vaccine/antiviral drug available «in 2014/15»<br/><em><strong>OR</strong></em><br/>antibiotics do not work against viral diseases ✔</p>\n<p>e. secondary infections/Ebola patients infected with other diseases/other Ebola strains<br/><em><strong>OR</strong></em><br/>ineffective hygiene/cleaning/sterilization/use of contaminated equipment/disposal of corpses ✔</p>\n<p>f. small number of staff relative to patients/treatment centers overcrowded/swamped with patients<br/><em><strong>OR</strong></em><br/>insufficient equipment/supplies for large number of patients/with the rapid rise in patients ✔</p>\n<p>g. better reporting at Ebola centers/deaths due to Ebola not reported in rural areas ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cells not killed/few cells killed «even at high concentrations» ✔</p>\n<p>b. «T-705» effective/viruses reduced/viruses killed at 100 μM<br/><em><strong>OR</strong></em><br/>«T-705» very effective/viruses much reduced/nearly all viruses killed at 1000 μM ✔</p>\n<p>c. virus concentration decreases as T-705 concentration increases ✔</p>\n<p>d. drug has «high» potential for treatment «at high enough concentration» ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">vaccine</span> contains Ebola <span style=\"text-decoration: underline;\">antigens</span> ✔</p>\n<p>b. vaccine «could» contain weakened/attenuated/dead/killed form of «Ebola» virus/virus genetically modified to express an Ebola/viral protein ✔</p>\n<p>c. phagocyte/macrophage engulfs the antigen/presents the antigen to T cell ✔</p>\n<p>d. antigen recognized by «specific» T cells/binds to T cells ✔</p>\n<p>e. «activated» T cells activate «specific) B cells ✔</p>\n<p>f. «activated» B cells make the <span style=\"text-decoration: underline;\">antibodies</span> «against Ebola» ✔</p>\n<p>g. B cells divide forming «clone of» plasma cells/producing more B cells specific to Ebola ✔</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. poor transport infrastructure/poor communication/bad roads/difficult access/no maps/support slow arriving/scattered population ✔</p>\n<p>b. poor education/understanding of disease amongst health workers/local population<br/><em><strong>OR</strong></em><br/>continued contact with infected people / other example of unsafe actions ✔</p>\n<p>c. more sources of infection such as bats/difficult to find sources of infection ✔</p>\n<p>d. lack of/limited access to medical care/doctors/health care workers ✔</p>\n<p>e. lack of/no access to/unaffordability of treatment centers/medicalsupplies/equipment/antivirals/drugs/vaccine/treatments ✔</p>\n<p>f. refusal/reluctance in local population to be vaccinated<br/><em><strong>OR</strong></em><br/>difficult to find/reach everyone to vaccinate them/repeat the vaccination ✔</p>\n<p>g. migration of people spreads the infection ✔</p>\n<p>h.poor sanitation/lack of clean water ✔</p>\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>Nearly all candidates read from the graph the week and year in which the first cases were recorded in the suburbs.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>The skill required in this question was picking significant trends out of data with a great deal of noise. Only one similarity was accepted – the large week-to-week fluctuation in number of cases. The differences between the rural areas and the suburbs were that Ebola epidemic started earlier in rural areas, rose to higher peaks and started declining earlier.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>A wide range of possible reasons for the decline in the epidemic was accepted here and most candidates scored both marks. The commonest type of misunderstanding was that there might be few people left to become infected. Given that the total number of cases was only in the thousands and the population of Guinea must be in the millions, that explanation for the decline was implausible. As this was a suggest question and candidates are not required to have specific knowledge of the Ebola epidemic, any reasonable answer was accepted even if it was not historically true.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>This was another question where the skill was in picking out significant trends. Differences between individual suburbs were not significant so all the answers accepted were either similarities or differences between the capital city and the suburbs generally. Most but not all candidates made two or more statements about the data that were significant enough to score marks. Some students treated percentages as though they were absolute numbers and for example added the percentage of fatal cases in and outside treatment centres together, which does not give a meaningful total.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>This was a more difficult question. We might expect fewer fatalities in percentage terms at treatment centres than elsewhere, but the data showed that there were more. Not all candidates realised that the figures given indicated the percentage of people diagnosed with Ebola that died, not the percentage of the population as a whole. As in 1(c) a wide variety of answers was accepted. Some of the answers related to Ebola having a high mortality rate generally, but to score three marks it was necessary to find reasons for treatment centres in particular having high rates of death. One suggestion commonly given but not accepted was that patients became infected after arrival at treatment centres – this would not necessarily give a high fatality rate or percentage and also uninfected people are unlikely to be brought to treatment centres. Some students thought that the more infected people a patient came into contact with, the more infected they would be. This ignores the potential for the Ebola virus to multiply exponentially once inside a patient. Material shortages were only accepted as a reason if this was combined with the idea that treatment centres were swamped with patients.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>This was generally very well answered, with candidates correctly concluding that the drug had potential as a treatment because at a high enough dose it reduced the number of viruses without harming a significant number of cells.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>Vaccination is a major focus on 11.1 of the programme so it was perhaps surprising that answers here were not better. Given the current outbreaks of measles and other diseases that can be prevented by vaccination, this topic should be given greater prominence in some schools. There were a few impressive answers giving the details of the steps that lead up to production of antibodies against a specific pathogen, but less than a quarter of candidates scored all three marks. There were many misconceptions. The terms ‘resistant’ and ‘immune’ have different meanings in biology, which should be carefully distinguished. Some candidates think that a vaccine contains a small amount of the pathogen. Would those candidates be happy to be infected with Ebola viruses as long as it was only a few? There was too much talk of cells ‘remembering’ the antigen or the virus. Memory cell is perhaps an unfortunate term. They are only memory cells in the sense that if an antigen binds to the antibodies they display, after cell multiplication more of those antibodies are produced and they will bind to the same antigens on the surface of an invading pathogen. This is just a series of molecular processes, not true memory. </p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a timely question with Ebola epidemics again causing great problems in parts of Africa. Students were expected to have had some practice at analysing data relating to an epidemic because of this Skill in the programme: Analysis of epidemiological data related to vaccination programmes. It was assumed that candidates would understand terms such as ‘case’, ‘fatal case’, ‘infect’ and ‘treat’.</p>\n<p>This was a third question where a very wide range of answers were accepted. Even so, not all candidates scored both marks. The commonest weakness was vague answers such as “shortage of resources”. The best answers gave common-sense reasons for special difficulties in controlling an epidemic in the population of a remote rural region.</p>\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-3-viruses-(hl-only)",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>The karyogram shown is for the African marsh rat (<em>Dasymys incomtus</em>). In this species, sex is determined by X and Y chromosomes. Females are XX and males are XY.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted from https://embryology.med.unsw.edu.au]</p>\n</div><div class=\"specification\">\n<p>Thomas Hunt Morgan established that genes for body colour and wing size in <em>Drosophila</em> are autosomally linked. The allele for grey body (b<sup>+</sup>) is dominant over that for black body (b) and the allele for normal wing size (vg<sup>+</sup>) is dominant over that for vestigial wing (vg).</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the structure of the chromosomes of prokaryotes and eukaryotes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the causes of sickle cell anemia.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify, with a reason, the sex of this individual.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the haploid number for this nucleus.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A fly that is homozygous dominant for both body colour and wing size mates with a fly that is recessive for both characteristics. In the table, draw the arrangement of alleles for the offspring of this mating and for the homozygous recessive parent.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">The offspring, which were all heterozygous for grey body and normal wings, were crossed with flies that were homozygous recessive for both genes. The table shows the percentages of offspring produced.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: left;\">Explain these results, based on the knowledge that the genes for body colour and wing size are autosomally linked.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. prokaryotes have circular DNA/chromosome but eukaryote chromosomes linear/<em>OWTTE</em> ✔<br/><em><strong>OR</strong></em><br/>eukaryotes have telomeres/centromeres whereas prokaryotes do not ✔</p>\n<p>b. some prokaryotes have plasmids whereas eukaryotes do not ✔</p>\n<p>c. eukaryotes have multiple chromosomes whereas prokaryotes «typically» have only one ✔</p>\n<p>d. histones/nucleosomes/proteins associated with DNA in eukaryotes but not in prokaryotes/naked DNA in prokaryotes<br/><em><strong>OR</strong></em><br/>eukaryote DNA can coil/supercoil/condense «due to histones» but not prokaryote DNA ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. genetic disease/caused by a gene<br/><em><strong>OR</strong></em><br/>inherited «from parents»<br/><em><strong>OR</strong></em><br/>caused by mutation «of a gene» ✔</p>\n<p>b. base <span style=\"text-decoration: underline;\">substitution</span><br/><em><strong>OR</strong></em><br/>GAG → GTG ✔</p>\n<p>c. hemoglobin gene mutated / different allele/form/version of hemoglobin gene<br/><em><strong>OR</strong></em><br/>Hb<sup>A</sup> → Hb<sup>S</sup> ✔</p>\n<p>d. leads to change in amino acid sequence «in hemoglobin»<br/><em><strong>OR</strong></em><br/>glutamic acid → valine ✔</p>\n<p>e. only homozygotes have full disease/sickled cells / heterozygote has milder form<br/><em><strong>OR</strong></em><br/>hemoglobin crystallizes at low oxygen concentration ✔</p>\n<p>f. «selected for/spreads in population» as it gives resistance to malaria ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>male because «X and» Y chromosome present<br/><em><strong>OR</strong></em><br/>male because sex chromosomes/last two chromosomes/pair 21 are unpaired/different «from each other»/not homologous ✔</p>\n<p><em>The answer must include “male” and the reason.</em></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>21</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. not a 1:1:1:1 ratio «because of linkage»<br/><em><strong>OR</strong></em><br/>not independent assortment<br/><em><strong>OR</strong></em><br/>grey normal and black vestigial types/parental combinations/double dominant and double recessive were commoner than 25 %/commoner than expected ✔<br/><br/>b. «linked genes» so were on the same chromosome ✔</p>\n<p>c. grey body vestigial wing and black body normal wing are recombinants<br/><em><strong>OR</strong></em><br/>2 % plus 3 % of the offspring are recombinants ✔</p>\n<p>d. recombinants due to crossing over/exchange of genes between «non-sister» chromatids<br/><em><strong>OR</strong></em><br/>2 % and 3 % of offspring were due to crossing over<br/><em><strong>OR</strong></em><br/>genes inherited together unless separated by crossing over ✔</p>\n<p>e. crossing over between the two loci/between the two genes on the chromosomes ✔</p>\n<p>f. few recombinants/not much crossing over because genes/gene loci close together ✔</p>\n<p><em>Accept any of these points from an annotated diagram.</em></p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers to this question were variable. Some candidates wrote about cell structure rather than chromosome and many wrote about the location of chromosomes in the cell rather than their structure. Weaker candidates did not know the difference between prokaryotes and eukaryotes and some think that prokaryotes are plants and eukaryotes are animals. The term ‘naked’ was often used for DNA not enclosed in a nuclear membrane, when in this context it should be reserved for DNA that is not associated with histone proteins.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question also elicited a wide range of answers. Some were accurate and detailed but some showed no knowledge of this genetic disease. There was lack of clarity in many answers, for example the disease was described as the mutation and sickling of cells was known but not linked to haemoglobin. The weakest answers tended to describe anemia in general, with iron deficiency sometimes given as the cause.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>90 % of candidates correctly identified the individual as male, because the two sex chromosomes were different in size so must be an X and a Y. The other 10% mostly thought that there were two X chromosomes present, perhaps because pair 20 were X shaped.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Slightly more than 50 % of candidates got this right. A common wrong answer was 42 – diploid number. There were a variety of other answers, some of which must have been guesses from candidates who did not understand the term haploid.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered, with more than two thirds of candidates getting at least one of the genotypes correct. The best answers gave the alleles on lines that symbolised linked genes on a chromosome, but there was a potential pitfall here. If the alleles were arranged in a way that was impossible, given the nature of the cross, one mark was deducted. For example, each chromosome must have one of each gene, not two copies of one gene.</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates found it very hard to explain the non-Mendelian ratio. A good start would have been to state the expected Mendelian ratio for unlinked genes in this type of cross and then compare this with the actual percentages. Answers tended to state which traits tended to be inherited together rather than explain the mechanism. An obvious answer was that that the two genes are located on the same chromosome but only a minority of candidates stated this and even fewer made the point that crossing over between the two gene loci results in the small percentage of recombinants. Many students referred to the 9:3:3:1 ratio, even though the cross performed in this case would not have given this ratio, even if there had not been gene linkage. Also many candidates claimed that more individuals showed dominant phenotypes than recessive, which was not supported by the percentages.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "a3-1-7-karyotyping-and-karyograms",
+      "a3-1-diversity-of-organisms",
+      "d2-1-9-meiosis-as-a-reduction-division",
+      "d2-1-cell-and-nuclear-division",
+      "d3-2-16-segregation-and-independent-assortment-of-unlinked-genes-in-meiosis",
+      "d3-2-17-punnett-grids-for-predicting-genotypic-and-phenotypic-ratios-in-dihybrid-crosses-involving-pairs-of-unlinked-autosomal-genes",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.20",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce from the results of the study whether HGH improves strength.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    one\n   </strong>\n   reason that it is difficult to detect illegal use of HGH to enhance athletic performance.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  the drug does not appear to improve strength as less mass can be lifted «by arms and legs» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. occurs naturally so hard to tell whether it has been injected ✔\n </p>\n <p>\n  b. HGH has very short half life ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  While this was generally done well, those who missed this mark chose to write about muscle growth rather than the mass being lifted.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Students were unable to state that the detection of illegal use of HGH was due it already being naturally present in the body.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c2-1-10-mechanism-of-action-of-epinephrine-(adrenaline)-receptors",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.21",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   condition which would require the use of an artificial pacemaker.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe briefly how an artificial pacemaker works.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  a. heartbeat too slow/fast/irregular/tachycardia/fibrillations ✔\n </p>\n <p>\n  b. sinoatrial node is malfunctioning ✔\n </p>\n <p>\n  c. pathway that conducts electrical impulses generated by the sinoatrial node is impaired ✔\n </p>\n <p>\n  <em>\n   Do not accept heart attack\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  a. a pacemaker contains a battery and pulse generator\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  it is connected to the heart by wires/cables ✔\n </p>\n <p>\n  b. it detects that the heart’s natural rhythm is incorrect ✔\n </p>\n <p>\n  c. it sends electrical impulses to correct the heartbeat/it replaces sinoatrial node ✔\n </p>\n <p>\n  d. provide a regular impulse/constant rhythm ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  This was generally well answered, with a few students identifying generic (and incorrect) medical problems such as heart attacks and hypertension.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  A majority of the candidates stated that the pacemaker sends electrical impulses or replaces the SA node, and they achieved 1 mark. Few were able to state that the pacemaker is connected to the heart by wires or that it monitors the heart rate itself.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-16-stages-in-the-cardiac-cycle",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>The electron micrographs show a typical prokaryote and a mitochondrion.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">Compare and contrast the structure of a typical prokaryotic cell with that of a mitochondrion.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">Explain how mitochondria could have been formed from free living prokaryotes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>differences</em></p>\n<p>a. prokaryote has cell wall but mitochondrion does not ✔</p>\n<p>b. mitochondrion has double membrane whereas prokaryote has single membrane<br/><em><strong>OR</strong></em><br/>«Gram negative» bacteria have cell wall between two membranes whereas mitochondria has intermembrane space between two membranes ✔</p>\n<p>c. mitochondrion has cristae/invaginations of inner membrane but prokaryote does not<br/><em><strong>OR</strong></em><br/>prokaryote «may have» flagella/pili/«slime» capsule which mitochondria do not have ✔</p>\n<p><em>similarities</em></p>\n<p>d. <span style=\"text-decoration: underline;\">70S</span> ribosomes in both ✔</p>\n<p>e. <span style=\"text-decoration: underline;\">DNA</span> in both / loop of <span style=\"text-decoration: underline;\">DNA</span> in both / naked <span style=\"text-decoration: underline;\">DNA</span> in both ✔</p>\n<p>f. shape similar/both rod shaped/<em>OWTTE</em><br/><em><strong>OR</strong></em><br/>size of both is similar/both about 3 μm long ✔</p>\n<p>g. both are membrane-bound/<em>OWTTE</em> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. endocytosis/engulfing of prokaryote by a larger/another/anaerobic prokaryote/cell ✔</p>\n<p>b. double membrane of the mitochondrion is the result of endocytosis<br/><strong><em>OR</em></strong><br/>inner membrane of mitochondrion from engulfed cell and outer from food vacuole ✔</p>\n<p>c. «engulfed prokaryotic cell» was aerobic/respired aerobically/consumed oxygen<br/><em><strong>OR</strong></em><br/>«engulfed prokaryotic cell» provided energy/ATP ✔</p>\n<p>d. «engulfed prokaryotic cell» not destroyed/not digested<br/><em><strong>OR</strong></em><br/>«endo»symbiotic/mutualistic relationship developed ✔</p>\n<p>e. «engulfed prokaryotic cell» had its own DNA/own «70S» ribosomes ✔</p>\n<p><em>Do not award mpc for “mitochondrion makes ATP”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers were spread over the whole of the four-mark range. The scale bars allowed the sizes of both to be calculated – they were close, but even so a substantial number of candidates claimed that one or other was significantly larger.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered with candidates explaining how endocytosis would have got a free-living prokaryote into a larger cell and because it made itself useful, there was a selective advantage in developing a mutualistic relationship rather than digesting the engulfed cell. Some candidates gave valid evidence for endosymbiosis – presence of DNA, 70S ribosomes or the double membrane. </p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p>The micrograph shows a vascular bundle from the stem of a barley plant.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Copyright Carolina Biological Supply Company. Used by permission only.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">Xylem and phloem contain structures that are adapted for transport. Outline the differences between these structures in xylem and phloem.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">Explain how the properties of water allow it to move through xylem vessels.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align: left;\">Outline how the structure of cellulose makes it suitable as a component of cell walls.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. plasma membrane in phloem/sieve tubes but not in xylem/vessels<br/><em><strong>OR</strong></em><br/>xylem/vessels dead/acellular and phloem/sieve tubes alive ✔</p>\n<p>b. xylem vessels have thicker walls «than phloem» ✔</p>\n<p>c. xylem «vessel» walls are lignified «but phloem walls are not» ✔</p>\n<p>d. phloem vessels have sieve plates «whereas xylem vessels have no cross walls» ✔</p>\n<p>e. xylem/vessels are wider/larger than phloem/sieve tubes ✔</p>\n<p>f. companion cells in phloem «but not in xylem» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. water is polar/a dipole/oxygen slightly negative and hydrogen slightly positive ✔</p>\n<p>b. polarity results in hydrogen bonds/attraction between water molecules ✔</p>\n<p>c. hydrogen bonding/polarity causes cohesion of water «molecules» ✔</p>\n<p>d. cohesion/hydrogen bonding allows water to withstand tension/withstand low pressure/be pulled «upwards»/moved against gravity ✔</p>\n<p>e. cohesion/hydrogen bonding prevents column of water «in xylem» from breaking/column of water is maintained ✔</p>\n<p>f. adhesion of water to xylem/vessel walls «due to hydrogen bonds» ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. chains of glucose/1-4 glycosidic linkages/covalent bonding between glucose ✔</p>\n<p>b. beta glucose so alternating orientation of glucose units<br/><em><strong>OR</strong></em><br/>beta glucose forms straight chains ✔</p>\n<p>c. forms microfibrils/long and thin/thin fibres/parallel bundles of cellulose molecules<br/><em><strong>OR</strong></em><br/>hydrogen bonding/cross linkage between cellulose molecules holds them together ✔</p>\n<p>d. high tensile strength/rigid/doesn’t stretch so provides support/allows turgidity ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates knew nothing about the structure of the conducting tissues of plants and instead gave some rudimentary information on their functions. A common misconception is that phloem sieve tubes are wider than xylem vessels. This may have come from a failure to identify correctly the xylem and phloem tissue correctly in the micrograph. The most commonly known feature of xylem was the lignified wall and if phloem was the presence of companion cells.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was better known, but many candidates still confuse adhesion with cohesion, or do not distinguish between them. Cohesion is far more significant in xylem transport because it explains how tensions can be resisted. Adhesion of water to the wall of xylem vessels is only significant when air-filled xylem vessels are refilling with aqueous sap under positive pressures. If this happens at all in a plant, it will generally only be once per year and yet adhesion to the xylem was the most common answer given. In some answers cause and effect had been confused so cohesion was given as the cause of hydrogen bonding rather than the effect.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates found this question the hardest in Section A. There were a few knowledgeable accounts that easily scored the two marks, but far more revealed little or no understanding of the structure of cellulose. It might be thought to be an obscure topic, but cellulose may be the most abundant biochemical on Earth. It is the key to how plants support themselves and grow. The paper that candidates wrote their answers on was mostly cellulose and nearly all candidates will have been wearing clothes composed largely of it. One misunderstanding that was often evident was that cellulose is freely permeable. The cell wall as a whole has this property, but it is due to the gaps between cellulose microfibrils, not to the cellulose itself. Another common mistake was to state that cellulose is made of starch, so contrasts between these two polysaccharides should be emphasised more widely.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a1-1-3-cohesion-of-water-molecules-due-to-hydrogen-bonding-and-consequences-for-organisms",
+      "a1-1-water",
+      "b1-1-6-structure-of-cellulose-related-to-its-function-as-a-structural-polysaccharide-in-plants",
+      "b1-1-carbohydrates-and-lipids",
+      "b3-2-18-adaptations-of-phloem-sieve-tubes-and-companion-cells-for-translocation-of-sap",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-9-distribution-of-tissues-in-a-transverse-section-of-the-stem-of-a-dicotyledonous-plant",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.5",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the functions of rough endoplasmic reticulum and Golgi apparatus.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the control of metabolism by end-product inhibition.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how hydrophobic and hydrophilic properties contribute to the arrangement of molecules in a membrane.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">ribosomes</span> on RER synthesize/produce polypeptides/proteins ✔</p>\n<p>b. proteins from RER for secretion/export/use outside cell/for lysosomes ✔</p>\n<p>c. Golgi alters/modifies proteins/example of modification ✔</p>\n<p>d. <span style=\"text-decoration: underline;\">vesicles</span> budded off Golgi transport proteins «to plasma membrane»<br/><em><strong>OR</strong></em><br/>exocytosis/secretion of proteins in <span style=\"text-decoration: underline;\">vesicles</span> from the Golgi ✔</p>\n<p><em>Accept “for use inside and outside the cell” for mpb.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. metabolism is chains/web of <span style=\"text-decoration: underline;\">enzyme</span>-catalyzed reactions<br/><em><strong>OR</strong></em><br/>metabolic pathway is a chain of <span style=\"text-decoration: underline;\">enzyme</span>-catalyzed reactions ✔</p>\n<p>b. end product/inhibitor is final product of chain/pathway ✔</p>\n<p>c. inhibits/binds to/blocks the first enzyme in chain/pathway ✔</p>\n<p>d. non-competitive inhibition ✔</p>\n<p>e. end-product/inhibitor binds to an allosteric site/site away from the active site ✔</p>\n<p>f. changes the shape of the <span style=\"text-decoration: underline;\">active site</span>/affinity of the <span style=\"text-decoration: underline;\">active site</span> «for the substrate» ✔</p>\n<p>g. prevents intermediates from building up<br/><em><strong>OR</strong></em><br/>prevents formation of excess «end» product/stops production when there is enough<br/><em><strong>OR</strong></em><br/>whole metabolic pathway can be switched off ✔</p>\n<p>h. negative feedback ✔</p>\n<p>i. binding of the end product/inhibitor is reversible<br/><em><strong>OR</strong></em><br/>pathway restarts if end product/inhibitor detaches/if end product concentration is low ✔</p>\n<p>j. isoleucine inhibits/slows «activity of first enzyme in» threonine to isoleucine pathway ✔</p>\n<p><em>Allow mark points shown in clearly annotated diagrams. </em></p>\n<p><em>To gain mpd, mpe and mpf the answer must be in the context of end-product inhibition, not enzyme inhibition generally.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. hydrophilic is attracted to/soluble in water and hydrophobic not attracted/insoluble ✔</p>\n<p>b. hydrophilic phosphate/head and hydrophobic hydrocarbon/tail in <span style=\"text-decoration: underline;\">phospholipids</span> ✔</p>\n<p>c. <span style=\"text-decoration: underline;\">phospholipid bilayer</span> in water/in membranes ✔</p>\n<p>d. hydrophilic heads «of phospholipids» face outwards/are on surface ✔</p>\n<p>e. hydrophobic tails «of phospholipids» face inwards/are inside/are in core ✔</p>\n<p>f. cholesterol is «mainly» hydrophobic/amphipathic so is located among phospholipids/in hydrophobic region of membrane ✔</p>\n<p>g. some amino acids are hydrophilic and some are hydrophobic ✔</p>\n<p>h. hydrophobic «amino acids/regions of» proteins in phospholipid bilayer «core» ✔</p>\n<p>i. hydrophilic «amino acids/regions of» proteins are on the membrane surface ✔</p>\n<p>j. <span style=\"text-decoration: underline;\">integral proteins</span> are embedded in membranes due to hydrophobic properties/region<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">transmembrane</span> proteins have a hydrophobic middle region and hydrophilic ends ✔</p>\n<p>k. <span style=\"text-decoration: underline;\">peripheral proteins</span> on are on the membrane surface/among phosphate heads due to being «entirely» hydrophilic<br/><em><strong>OR</strong></em><br/>«carbohydrate» part of <span style=\"text-decoration: underline;\">glycoproteins</span> is hydrophilic so is outside the membrane ✔</p>\n<p>l. pore of <span style=\"text-decoration: underline;\">channel proteins</span> is hydrophilic ✔</p>\n<p><em>Allow mark points shown in clearly annotated diagram. </em></p>\n<p><em>In any part of the answer, accept polar instead of hydrophilic and non-polar or apolar instead of hydrophobic.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates had some knowledge and some had broad understanding of this topic. A common mistake was to think that the rough endoplasmic reticulum makes ribosomes. Many candidates stated that the Golgi apparatus packages proteins but they did not always mention that the packages are vesicles. If this was all that the Golgi did, vesicles from the rough ER could be used to secrete proteins. The role of the Golgi apparatus therefore involved processing or modification of proteins rather than just packaging of them.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers to this question were rather polarised. Candidates who had studied this topic and understood it had no difficulty in scoring high marks but other candidates struggled to include any useful ideas in their answers. Weaker answers tended to exclude the ideas of enzyme catalysis, pathways of reactions and the mechanisms involved in non-competitive enzyme inhibition. Diagrams to illustrate the process were a valuable part of some answers.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates struggled to explain the meaning of the term hydrophobic. Many stated the literal meaning – water-fearing, hence repelled by water. This was not accepted as hydrophobic molecules aren’t repelled by water. They appear to be, because water is more attracted to polar or ionic substances than to apolar/hydrophobic substances, but there is no chemical mechanism for repulsion and of course molecules do not fear each other. Many focused only on phospholipids, but stronger answers also included information on proteins and how the positions they occupy within the membrane depend on their hydrophobic and hydrophilic properties.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b2-1-10-fluid-mosaic-model-of-membrane-structure",
+      "b2-1-membranes-and-membrane-transport",
+      "b2-2-7-structure-and-function-of-free-ribosomes-and-of-the-rough-endoplasmic-reticulum",
+      "b2-2-8-structure-and-function-of-the-golgi-apparatus",
+      "b2-2-organelles-and-compartmentalization",
+      "c1-1-16-regulation-of-metabolic-pathways-by-feedback-inhibition",
+      "c1-1-enzymes-and-metabolism",
+      "c2-1-6-differences-between-transmembrane-receptors-in-a-plasma-membrane-and-intracellular-receptors-in-the-cytoplasm-or-nucleus",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the process of inspiration in humans.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the functions of valves in the mammalian heart.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how blood solute concentrations are kept within narrow limits in the human body.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">diaphragm</span> and <span style=\"text-decoration: underline;\">external intercostal</span> muscles<span style=\"text-decoration: underline;\"> contract</span> ✔</p>\n<p>b.<span style=\"text-decoration: underline;\"> diaphragm</span> moves down/becomes flatter<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">external intercostals</span> raise the ribcage/move the ribcage up/out ✔</p>\n<p>c. muscles/diaphragm/intercostals increase volume of thorax/expand the thorax<br/><em><strong>OR</strong></em><br/>muscles/diaphragm/intercostals decrease pressure in the thorax ✔</p>\n<p>d. as volume «of thorax/lungs» increases the pressure decreases ✔</p>\n<p>e. air enters «lungs» due to decreased pressure/higher pressure outside body ✔</p>\n<p>f. <span style=\"text-decoration: underline;\">air</span> flows to lungs through trachea and bronchi/bronchioles ✔</p>\n<p><em>Accept thoracic cavity or chest cavity in place of thorax in any part of the answer.</em></p>\n<p><em>Do not allow “oxygen” instead of air in mpe or mpf.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. prevents backflow/ensures one-way flow/controls direction of flow ✔</p>\n<p>b. <span style=\"text-decoration: underline;\">open</span> valves allow blood to flow through<br/><em><strong>OR</strong></em><br/>opening and closing of valves controls timing of blood flow «during cardiac cycle» ✔</p>\n<p>c. <span style=\"text-decoration: underline;\">closed</span> «semilunar» valves allow ventricles/chambers to fill with blood<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">closed</span> «semilunar» valves allow pressure in ventricles to rise «rapidly» ✔</p>\n<p>d. valves open when <span style=\"text-decoration: underline;\">pressure</span> is higher upstream/<em>OWTTE</em>/converse for closed valves ✔</p>\n<p>e. AV/bicuspid/tricuspid/mitral valves prevent backflow from ventricle to atrium<br/><em><strong>OR</strong></em><br/>AV/bicuspid/tricuspid/mitral valves open when pressure in atrium is higher «than in the ventricle»/when atrium is pumping/contracting ✔</p>\n<p>f. semilunar/aortic/pulmonary valves prevent backflow from artery to ventricle<br/><em><strong>OR</strong></em><br/>semilunar/aortic/pulmonary valves open when pressure in ventricle is higher «than in the artery»/when ventricle is pumping/contracting ✔</p>\n<p><em>Allow mpa, mpb, mpc or mpd if the point is made through the example of one specific valve.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. solute concentration of blood monitored by the brain/hypothalamus ✔</p>\n<p>b. pituitary gland secretes ADH ✔</p>\n<p>c. ADH secreted when solute concentration/osmolarity is too high/a person is dehydrated/<em>OWTTE</em> ✔</p>\n<p>d. collecting duct more permeable to water ✔</p>\n<p>e. «more» <span style=\"text-decoration: underline;\">aquaporins</span>/opens <span style=\"text-decoration: underline;\">aquaporins</span> «in the plasma membrane of collecting duct cells» ✔</p>\n<p>f. «more» water reabsorbed «into the medulla» ✔</p>\n<p>g. medulla is hypertonic/hyperosmotic «so water can be reabsorbed from filtrate» ✔</p>\n<p>h. small volume of urine/concentrated urine produced «with ADH» ✔</p>\n<p>i. no/little/less ADH secreted if «blood» solute concentration is too low ✔</p>\n<p>j. collecting duct less permeable to water/less water reabsorbed/large volume of urine produced/dilute urine produced «with low/no ADH» ✔</p>\n<p>k. insulin causes blood glucose «concentration» to be reduced ✔</p>\n<p>l. glucose stored as glycogen in the <span style=\"text-decoration: underline;\">liver</span> ✔</p>\n<p>m. glucagon causes blood glucose «concentration» to be increased ✔</p>\n<p>n. negative feedback ✔</p>\n<p><em>Accept hypertonic for solute concentration too high and hypotonic for too low.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The mechanisms used to cause ventilation of the lungs are poorly understood by many candidates, despite them being used throughout our lives. Cause and effect are often confused – air rushes in to cause a volume increase in the lungs for example.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates got the general idea of valves in the heart preventing backflow, but many did not make any other valid points. A clear statement of what is achieved by valves opening and by valves closing was expected and then comments on the specific roles of the atrio-ventricular and the semi-lunar valves.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was another question where many candidates struggled. Sub-topic 11.3 of the programme is titled ‘The kidney and osmoregulation’ but perhaps the connection was not made. A significant minority wrote only about regulation of blood sugar levels Others gave an exhaustive account of kidney function, but mostly did not have time left to write enough about osmoregulation. A small proportion of candidates gave a convincing account of the negative feedback mechanisms that keep blood solute concentrations within narrow limits.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange",
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-transport",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the climograph, identify the relationship between maximum temperature and rainfall.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the climograph, outline the pattern of rainfall.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Natural forests in the area around Mangalore contain hardwood trees such as teak,\n   <em>\n    Tectona grandis\n   </em>\n   , which are deciduous, shedding their leaves once a year. Suggest, with a reason, when this might happen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  maximum temperature occurs just when rainfall begins/at the onset of the rainy season/monsoon\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  negative relationship «as maximum temperature drops, rainfall increases» ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  rainfall concentrated between April to December/peaks in June-August «followed by months with little/no rainfall» ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. dry season/Jan/Feb ✔\n </p>\n <p>\n  b. «drop leaves» to prevent water loss/transpiration «since no rainfall for almost four months» ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  Most outlined correctly the pattern of rainfall, but irrelevant answers were seen.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Many provided correct answers, but also an important number could not relate the process to prevention of water loss during the dry months.\n </p>\n</div>\n",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-2-14-cyclical-succession-in-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the structure of cardiac muscle cells.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the name of the valves that prevent blood flowing from the arteries back into the heart.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between the different phases of the cardiac cycle in the atria and in the ventricular muscle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch the pattern seen in a typical electrocardiogram (ECG) trace for one complete cardiac cycle, including labels of the main features.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. cardiac muscle cells are branched ✔\n </p>\n <p>\n  b. rich in mitochondria ✔\n </p>\n <p>\n  c. rich in glycogen granules ✔\n </p>\n <p>\n  d. formed by short cylindrical cells ✔\n </p>\n <p>\n  e. contains\n  <span style=\"text-decoration:underline;\">\n   intercalated\n  </span>\n  discs ✔\n </p>\n <p>\n  f. has gap junctions ✔\n </p>\n <p>\n  g. «intercalated discs are» transverse cross-bands which represent the attachment site between adjacent cells ✔\n </p>\n <p>\n  <em>\n   Do not accept myogenic as it is not a structure.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  semilunar / sigmoid / pulmonary\n  <span style=\"text-decoration:underline;\">\n   and\n  </span>\n  aortic valve ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. action potential of atrium precedes the ventricle\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  the phases happen later in ventricle\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  atrium contracts before the ventricle ✔\n </p>\n <p>\n  b. atrium has a shorter phase 2/longer phase 2 in ventricle\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  atrium falls abruptly in phase 2/ventricle shows a plateau in phase 2 ✔\n </p>\n <p>\n  c. phase 3 is more distinct/falls more abruptly in ventricular action potential ✔\n </p>\n <p>\n  d. ventricular phase is overall longer than atrial phase ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  a. sketch with the correct shape ✔\n </p>\n <p>\n  b. P, Q, R, S and T indicated ✔\n </p>\n <p>\n  c. atrial contraction/systole/depolarisation labelled ✔\n </p>\n <p>\n  d. ventricular contraction/systole/depolarisation labelled ✔\n </p>\n <p>\n  e. ventricular relaxation/diastole/repolarization labelled ✔\n </p>\n <p>\n  <em>\n   Correct shape should show peaks at P R and T and dips at Q and S\n  </em>\n </p>\n <p>\n  <img 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\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The stronger candidates could describe the structure of cardiac muscle cells.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Most could name the semilunar valves.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Part (c) confused many candidates and they did not realise they had to refer to the graphs in their answers. Most scored one mark for stating ventricular contraction occurs after atrial contraction.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  In part (d) the better candidates could sketch the pattern seen in a typical electrocardiogram. Some made errors in the shape or letters but could still achieve marks for showing the areas of contraction or relaxation.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b2-3-9-adaptations-of-cardiac-muscle-cells-and-striated-muscle-fibres",
+      "b2-3-cell-specialization",
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-16-stages-in-the-cardiac-cycle",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>DNA methylation has a critical role in gene regulation by affecting transcription. Samples were taken from two colon cancer tumours (T1 and T2) and two normal colon samples (N1 and N2). A particular gene was implicated as a possible cause of cancer. The promoter of this gene was cloned (A–J). The data show the DNA methylation patterns from these samples. The numbers (32–269) represent different markers in the promoter.</p>\n<p style=\"text-align: center;\"><img 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yiMaAdqBNYbO5QR88rT2iKNzxA6xPG1K+NHO9lOrDU/Hkc+0yO+3hIU41mTbJS/xlkk+lnq4ifXC1oSeO84vD8so4BXPp2TSsiyHNZ3xyGw/UyOLXY/tlst9nUweNw+9VgTiQcD2NcYEllx43VN+fOy969wDwRIj1konwsePf0kJByc2RkJsYAYbZxjjbiyLJSUFC61HehFQpTm9eCo3RUARUAQUAUVAETiCCDgVZOtAyirRQQozL+dYhbHktFCC10VedJxhpHOWxUZl+PultXz1mL0IqPWMYtR23HzWBBZicd6qVUtzA7Ixihs2l4kZGjBh9tASgxwDFDg5Bzsbn+gRjOHDAAtf+ysy2VaY822QKJ6avmQjwP3CvcF9wj3DGOYmwtNxb7r5ZsN1OvFxjnX2q6MTAztuOcP0vMjSEX3UEhtWvb7weT1DwNzmtdZL3GYWsT8PMZvtxdeWq8eSgYAqzcWkHVGKebj8YjWgMGw1g5sRRZFd6rmqOPMw5sEMPgxi9sfDww5W2Dq1A1wyzQq2YMwgyOCHTVXCWEaBwl5kU/gaT8UgmfI0jyKQzQhwT3C/FN2bRc50vBRkliA4lxNkc50TkT2d+DCuMdYxFrGkyY6DTnnAGKyVIhFA8aUtLOHh1U1gyzIzxn1mi3fv3mvsaYM1z176uF3uxjPBvhzC107iYGLTkuURz3Iym0eP2YGAmpwrBu3ETcdNy2cfbkxu8qI33CJbzYhYUDDAmOAKMoJfDKqSMRFwDMADY8SIEWYA5CFSNGCtNuEUDIY8TBj8SJsowZN8TtNZzN4ws4DNYMg+rBgUY63HRYGI9yFm2z5RmZ3p6Uf0m3iIFwL72TJW+kTrwUsM5uLiJYttonl4cCVa30xhFG9dS1I67reie/AXhzXcL7ZNcl1hSBc+9HP6bbqdFpWkvhirLijDjO32WYtNa8YpS3b/CgoxkzNuYg9I0bjW2vDAyyrXtA33APytUu3Oq9clCwFVmotBe3IDctPZh0xBQYG5MbmxLdmb0r7h2vBcODKQoQjz0LDKMAMUWNhrcLCDIAOcMzwejGwZztkC8tmXGMri3LYNg2+sDZmktTPfsQZU2jdVogxmyZGN+rsdKTj5s3koXkq0HrxM8CkT5Yl62XYJKi+ZPMnUN5k8QXLncpyXYxg7htm2j9XvSzJ+6cKHsQly3kfgyj3D+ALWvHQreSPAGMSmP/CySi6TH0x8WLIY22v30X4p4ZlsFW8wt0sz7NINdz69LnkIqNJcDNuUWUAUMm5kp/LHGy1WCnKNGOz4UX9LXoOcndUlbaLkVQY8LE9n2fHy5iFX5OWun5H/cDzYbHk8HPzW7sUrv02XTD2cylO8zmiSyZNMfZPJY7HQ4y8I2HuyaFz65Z6jHdUpU5GDJLBJFR87njEWOV+uuS9TdVr0S2uW3DMwsrjxxZaXDJ4ffBWxY46NB9OgL3D2ZYU25UsCCjSUyy+HJbfneNfsmNGjR4/2jtLQw4XA8ccfL3PmzJFvv/3WmDVjkGzatJlUqVLFiMANOnfuHFmy5Ekzg1erVq3DJVqxKAd8GOQYpJhFLjpuFcL37dsnzJryQAHDzz7bJ6NHjzVxiQgPL3iDMV7zeDlhdptlId999615OH3wwQ5zTXswEJMnFvECZAfY1q3bGOU5Vp5U4zGNZz8N04/SQcnUg366efNm2bhxo3GpHY8cyeRJpr7J5IlH/lxKc9RRRUuiqDN4Ou8HXpTsvUr/ZyxLV1/MFozThU/ZsmXD93PFihWEa0vgCu4s2/vuu+/MWNW7d76Nztkjz4slS5aY+nfocL3Zn8IF4wtjPH2SiYWmTZsaPD/77DNZv369ec6AKT8U4qZNm8iUKZPD6eBB3tdf32zSc43C7P5CaQrWv5KJQGpmnjV3uhCwzk1w0uAm6+Ah143XW0chOAnAYD0/HFlYI/acOw3Zu3GMde10IODF0zooSKYMHBkcTkP6OJrwckQSC4NY8YnWgzqTJxFKJk8y9U0mTyL1yIW0dtzinvQi6xTHyzGNV/qSFpYufOxYZx33uHGiHOuwwx2Xi9fgZcdw93jtjHP2W85tHufR/dxlfHLGe42z1vkM7aJUshBQO83F6F3ILjmwn4qsaIQzk8qnI6VIBHjrZ0aA2XnwsZ8yI1MldsUMBJi7eVJWOvgnJo2mVgSKNwLcK+qUyb+N0oWPnR31WwrAuMXsvl1y4C9RyY8BCzYwQ9a5ibPWxJEGYtkcmIEvM/Ys27Bk4+y1Pdr8PKuda6NtPJsJaXe//DadHrMPAVWas6/NVGJFQBFQBBQBRUAROAIIoFxj6UeV4iMAfjEoUjcCFoNGUBEUAUVAEVAEFAFFoPgigJLsNEfHV0e/Wf/iWwuVLFUE1LlJqghqfkVAEVAEFAFFQBEo0Qg4l01yni7rRCUatBJYuaxVmnnrq1ChnFSvXq3ENct///tfefXVV4WjUjAC27dvF36ZJNpi7949mSwiY7wzjU882IAd6ZKhTMufjEyaxx+BVNran2vJiUl3f47n/is56B35muApkB/rmHWP0ZFvjyMhQdYuz2DzF297rC/CvFYsRxNHAtxEy+SBM3z4cHnppQ1y+eW1jFmbhg0byfDhI6RatZL3cpAoPs70o0ePkscemy9HHXWU/PTTT3L00UfLoEGDZcCAW5zJkj7nhWXatAfl8cf/V0477TT5/PPP5ZRTTpVRo0bJ1Vc3TYjv4sVPCCaNoDJlykjHjjcklD+ZxNginT17lsGH/KFQSLp16y6jR49Jhl1EHrCBP54SbT+tWbOm3HHHXVK7du1wWh7o/fr9Xr744gs58cQT5auvvpKGDRvKjBkz5Te/+U04ndeJs32JR/78/D4JOXGg/LVr15iXT+4fcHeXS11IQ9pSpUrJtde2jaiDl2waFo0AGI4bd4+xz1y58gVm7MLhAxuh3JhH5y75Ic7+nOp4RZ8dMKC/bNiwwdxXmJrj/vrznydJXl6Lkg+m1lAROIIIZO1GQNYWMSjjTQ8KMkh+BPGNu2gU5pYtrxFsbPbp01dKly4tBw8elCeeeFymTp0iixY9rorzz2j27t1LXnjheaMsOwFGcb7++o7m4eEMT+a8W7eu8u0338qMwsKwXdQtW7ZI9+4onqOkffsOMdkyqzR8+FD56quvpVu3bib96lWr5bN/7ZOZM/+Ssfb0w+eYY46Rxo2byJw5c2PK7peAB3bXrp2l1uVXyOAhQ0w/JS0vBkOGDJaHH55lHtwoUX379vFkc/bZZ8uzz673VaaC5G/Tpo08+OB0T742EBlvuOF62bFjh/z44482WI477ji5//5J0q5dOxNG+7Rt20a+//77cJpjjz1Wzj//fFm6dJmvfOHEemIQeO659eaF9f777pO8FkVKG/bT77v3XtnxwfuyYMGinMbSrz8nM17Rt5s3byqffPJJVO/j/p48eWq4f0cl0ABFQBFIGYGsVJqtORkUZZZpWJeYzjVHKSNzmBmMGDHcKGcDBw6KKnnOnNnywgsvyPz5j0XF5VoAM4IobU5lyIkBSs9LL70s5cqVdwYndL506RKZPn26PP30irBSaBl8+OGH0rhxQ9m06dWYZbRp08oolyNHjbLZzXHsmDGy/rl1snLl6rQrEyiClOuHDw9WXMo6Z4QjhItxwWzifz7/j0yaPDkqJYrztGnTDP7Vql0oX375ZVQaG3DDDZ08X25o386dO8mhQ4ds0ogj7btixarAF45OnToGLgeh7aCGDRvIDz/8EMHfXlx00UWyZs2z9lKPAQjUqHGxzJ+/QPja4Kb8/Hy55JKacuutt7mjcuKal0dcXfvdj4AQz1hiweKFneeBH/FiuHPnR37RGq4IKAIpIpCVa5rx946CzJoidq+yi9W6s0wRjyOWnU/dnTt38Syf2ecNG17UNc4iUlg4PfABxMNp/vz5njjGG4hnqGFDh0UpzOSvVKmSdLz+hkCljHQokKWOO17cCjNxhF1wQVWzLCBemeJNR7lBD2g+DT/99PJ42UWlW7t2rRQMGBAVTgDLH4qU2qeNd0vPRD8HPvPMas9oZPNTmMlA3aijH/HFBi+EQTRy5EiZOnWqr8JM3vfffz/ja+WDZMyWOF5yWI7hpTBTh969esVsj2ypazJysoQs6H6E5/Ll8d+PzOoHEcuYaBMlRUARyAwCWTnTzOY/fMhbI+4YGmdt86pV3g9iL+jYRFjciA0GfnR9hw7y2ua/+0VreBoRqFKlqkyaNNlXEWCmhxmfIIJHly5dzHIbr3TwYM3xnj3Zt8EwqJ/2yc+XZ9et9aqyhpVQBJo3y5NZs71nP1mmUavWZSW05lqteBAIGi/iya9pEkeAScQFCxaEl61u27ZVWrVqmbKzFRy/sJ8FXat69RpxC8ZqgIoVK4Z1Nr6+FDnjyewm/rgFTCBh1m0EZNNfkXHx1uFqtm7d2izRoGPE25DF7UZGiecBU7Zs2XC97Alrm1GY33nn3bR/zrdlZMuR9YHr168LFHfYsOEpbQgsKOgvO3a876s0b39nu1Gqgzb0zSz8xauUl7AnnXSSNGjQUCZMmOgVnXRYrM+3MObLRbIbAhs0qCevbNwodevV85Txw492yowZhTJ48CBhg5If8XVo27boAZNlSnx1CaIg+ZllY3lGEJ1zTjk59thjZNeuXUHJzDpdNpcq+SMA3nfcMcI3wc4PPpBGjRrLo4+m9vXHt4BiHhHPeDVq1GizyTWeqtSvXzew3/KlhzXkyS6/ikcGTVP8EeBrPPpQcSDkQG9jU7AlzPVlK2Xd8gw6A8RGQBRNfrzFQDbOXGTZH5sa2TjjRWwGRMHSXegiffv+XliXG0Rt27YNio4Z17hxYyksLDQbMd2J2Qy4bv2zMXepn37G6fLKK5vc2cPXa9eslapVq4av03XSp08fs0TCjx8P1SBl3y+fDSfv3LneGwlZNsHyjzZtrpUTTjjBZvE8duhwvWc4Fj6Q0Y+Io45+xD0Sq39UrlxJLrigih8LE045zZvnBabRSDHKGW2+ds0aTzimTJkiTZo08YzLhUDGKzb8BVFeXvz97MYbOwf271//+teqMAeBrXGKQIoIBN/NKTJPd3Y2/TGlzxsLM8XOH2ubs3ldM3Vip/mQwYPNjDPYMfOM5Qx+zre0dOOaTfyYQcEChNeDCGXpnnvGxdygF6u+KIZXXnml9OzRQ1CSLaEYFFnPGBPzBQbTTx98sMNTmYAPXw7iscBhy473yAZI+HrhQxhxqZgv7NGjp+z77NOIfsqXEJab3H33WGMVBFnZbPirX/3KU2ysZwwePMQzDtn4cuSlONO+KCFBmzzJH/QyAt+Cgltk7NixnuXbQCxopIKT5ZMLx3vvvU/6/r6P6QP0BYgNs2wC/O77b6Vnz165AINnHRmvmjS52lPRTWa8wqQmXyO97g8EmDVrjqccGpg4AixDYFKOWVKWNrgn6SxHvnwzcWfjOZI3iJh9JR3LHVheavOybAE9h6MNs8tPnfysbDYNfCwhK7oQctkybBxf15zlcU55EBOR5HUTvOFj03nFOycxWT5r5UEOyxOZrV8N6mfPLT/yEGbrZLGw8fDh50znLMumy/gxlEVUWDgjdPHFF4X2798fJfXLL78UKl/+nNDKlSui4rIl4MCBA6Hhw4eFqlevZupCfbjes2d3tlThsMk5ffo00xfAiN/ll18aWrp0aVrLnzp1Sqh+/brhtmjdumVo06ZNcZfxzjvvmLbM7907tOaZZ8yPc9qXuEwSWHCvWHw4nzfvkbQUST+95567I/rpgAEFUXWiji1a5IVlqFTpvNCQIYND5I9FyOqWP972hf+VV9YKVaxYPly2xcGJAefnn39uRJrzzqto8sYjY6w65FI8bd2tW9cwlvTxBx98IK62zgWc0jle0TdHjRoZ4n6y/bpRowZR918u4BpUx7lz54Rat25lMKpfv17o9tv/mFB/HD9+nMnbsuU1oa1bt5iiFix4zIQRZ4n4unVrh9OggzB2de58o00SdYQfbUc6q4jfD2IAACAASURBVLNY3oSj60CkI82wYUPDPODrzGfLc6bp1+9mk8ZmsuXBm3KgXbt2GbmRH6JM4m1dTWAoFCLeL43NY+vg5GPDbNm2TqRxy4fsbtksrlbf45o01N+G2Xy2LCtzJo84DcgaAjRnx3ALTselMZQUgeKCAA84Bu/+/fuZH+eqkB2e1nniicdD3bp1CeXlNTNKhtfLJ2EoIKQhLXmUFAFFILsRaNmyRahD+/ahjS+/HPryyy9DO3fuDA0eNMi86HuNA161tUqzVTJtGvQMtxLpVtq8lEmbn6NVJN36jJeyjZJImZBVrJ0KKOG2PKvwupVSv/Ks0okSys+toKNYo6ja8tzleOlc8CGPfbGwZVseyOuUz8bb9KaiDoxsuFWakcmSlc+mseGZPPovHsz4HHfiBcSyjoFrSyVFoDghwBpbPk/n8ifqI9UeLLOJtX6bpR7Jboo8UvXSchUBRcAfgQcemCq/Pv4EeWTevLDZUJyFYVseG/l43X3ssQX+DFwx1atXjwg5+eRTwtdbt241Jm9ZHuokrlmOgPM1d5wzHRYl3MQmaSdxzVILiPIgN896P2/M3rhxY6AxBHd5zrI4x4wvSypYDso15xz9PC5bnYslE/v37zeysZwlEUJmqH79+hHZMOqAaWErD5HI4vTHwfXhpqxa03y4wdHyFAFFQBFQBBQBRSB7EFiy5EkZNGhQWGF2So4X061btwj23NNBfut8rTJnld10lAUPy8+5hpg1wHbdsFVcky2va9eupgyr+GLJCOXV1sfNF4WW8nlBsLIlahnDyuxVBi8olq+77CN1nVUzzUcKJC1XEVAEFAFFQBFQBIo/Av/4xz98TWIy41yr1pWyZ8/ewA3F8daSWc/du6NNV1pFzzkrGi/PoHRWscRcpz0PSp9oHDPNKMkoy8xe81KATww/YgMk6Z2rAPxeJPx4nHJK0cy9xcyZ7sCB/VKhQvRsvDPN4T7XmebDjbiWpwgoAoqAIqAIKAIZQQAlDMtTfvTRRzv9ohIOr1GjhpkJZcbVSfbavRzCmSaZc8qDsCLmJDvja8t1xiV6jvUiFN8JEyYELs3AAgiKrl0aYstJ1D60zc9SFifBBzncy2OcaY7EuSrNRwJ1LVMRUAQUAUVAEVAE0o4A630XLVroyRcTop9//nnabFnjlZiZVpYnWGURxbWwcIZZH+y3FthTuDgC4WfLswoy5VI+s8R2rbOdhUapTXTmlzqRH8Xc8vMSDTnsmmNbBjIhC2Rnju0acJZh2HROfvChXqyLtstCSMfac/gXN3O7qjQ7W0/PFQFFQBFQBBQBRSBrERgwYICxGY6zJSehMGNnf8qUqc7glM8XLlz0s8JaZMsZ+8IogYRnglgKgTJrbTmznhmF2Vkea5NRfLFjHMvDqpeMVtl3b85zp2X9MkqxXWONUzActaHsbtu2zSTn3CrFpLPKtJPXxIn3GuUYhZs10kX8Khh7//YFwJn+SJ4fhWmOIylAomXTCdygAyrrbnhDKgmEa1pL6g7VIhF9ZDMHa9MgHFFkwmPi4SgjumbpCXHKXr58ubSs4XNKtn37dvnvf/9rgoL6qe3PtE8iDkMyLb+zLnqeOgL0BfoElGhbp1568efg7M/pGK+c9186+BV/BOOXEGyGDx8qX331tZx/3vnyny/+Izt3fmAs5WTCqVT8kmVHStYqM9NsrWNkh9SHR8qs3AiIcuycsueTAG9dUDYrzigXw4YNNd6enDc6b8ZXX9308PSILCiFh3PPnj3k7bffkh9//NHgxfG6666TBx+cnpYaUEZBQX+z0/qKWlcKb5br1q2Vm2/uJ3feeVfcZcBn2bKnZO3atSbPVVddJe3atUu7AusUiDKnT58uDz1UKM2bFbnofXbdWvO2f8cdd6b8chHvA2np0iUyevQoqVz5AvmfU/9HPvp/H8mJJ54gEyfeF6g8I//48ePMpzqn/P36Fcgtt9wSt/yUv379evOSXa3axXLTTd2jcEeRefTR+bJ9+ztmZuaKK64wXhMz8QLmbKOSdv7II3Nl8uRJUuWCqsKa0tc2b5YaNaqbcTqRF6WShgv1oT+nc7zi/vvDH241XhdxYW49b+JlE4+BSkWTKCtWrDIvceAPBb3YK2a/IMDSCHSqoA2Av6TOwbNMGoHOBG+Mb3sZssYAeDY7NsGjFgbB3c4VMM5evXr10Jo1z2QCzqzkibc3sHL/zj23QqhXr54p1wnnI3j/GzN6tDGMbxl++umnxmD+uHG/eIOycV5H2hTPaPChHflxnmmPgF26dDZyYtTfEucY9+/atYsNSuqIYwDkd/fTt99+2/TTJUueNHw50m8JdxL5yB/kYAAZkdUtP84KcBITi2z79f7ZEyMyTJky2ZRr5YMH5/Qh4kiD10by4AUySL5Y5edaPJ4za9asbhxIOOs+e/Ysg3muO/NJ53gFlk5PgM4xkPEPz4NKikCyCKBf0afcTleS5VcS82WVR0AaIEhpzuaGxgUtDxkv4mHOg1wpZJQ1L/fI9uGBG2SU1VQIr30oT16E4hxL6SMfDzfS0XZuIoy4TCgTuPlu1KhhhMJpy0cJJS6VFzDuMRR/LypSnKuZKOrnVphtHvL73avIFkv+WK7MUbq9ZMQrGIo8+e1LKmFuIm+rVi3dwXrtgYDt5144kpyXH1yu5yrxkpjO8Qo39Has8zriFj4T40qutp/WWxFwI1AiNgKy45J1zs4lG9n20WDDhhflhhs6eYqd16KF8bbDp+Rcp0WLFsmhQ4d8YWCZhnsDiG9inwg+6d/QsaNnbNmyZeX6Dh3Dyy08E4kISwNY1kHbuYkw4kiTbnrzzTekbdu2nob9sVHKRpg33ngz6WJXr14lXbt188xfs2ZNqVSpssyePcscufYi8sPHi9566y0jI7K6iTDqRh39iE/XW7duE5wYuKlSpUoycOAfzMaY+fMfFT5nE+amkaNGyVdffRVen+uO1+tfEABvlmR44Uiqm3r0kNdee+2XDDl2Fs949fTTy+NG5fnnnw9My9hImygpAopAZhDIyjXNmCbh5yR2aGJkHPMl8RA7NIsbeSkKVsazzjpb6tSpbS/1GIDAnDmzze7pgCSBUeedd76cedZZvmnKlS9n1uqOGTPaN02VKlWlS5cuvvF5LfJk6tQpMnLkn3zTJBMRq9yTTjrJKLWsd06W/BQk+J32P6cJuNi1yF5lkB/zQ1734Jlnnil3j73HK5sJY63xwoUL5d57J/qmoWy/e+myyy43+ck8adJkXx6NGzWWa64pWg/um0gjDAJBbU17vv/+/3m2tcJXhIDX8yxZbFjj3KmT9wt/sjxTzbd7d9Fm7VT5aH5FoDggkJVKs3sjIAvX2QjIL97dnsXtRq5R42KzscNLIcFQ+3vvvSvFTeYj0YFvu+0WWbZsWWDRo0aNlvz8PoFpgiJHjBgub7zxuvjNlK5etVoefniW5OVFzyJbvjMLg5XSL7/8Utq0uVaGDx9hs6TlyIas3bt2+/J679335MYbO8utt97mmyYook2b1vLKxo2eHrcOHjwor23+uyxZslTy83sL117KK/lr1rxEVqyIdAhAudOmPSh///vfPWfoid+7Z69069ZNevbs5Skmm2lnz5rlGWcDzz77bHsaeEy1HwUyLyGRzGreeqv/5rO333pLatW6QubPf6yE1DixasQzXvHy1rHjDXExbty4oXlO+CVmU+DTT68M3Gjrl1fDFQFFIDYCJWJ5BrPM2CVEebYGxmNXvXil6Nv39zJhfJFRcLdk9917r7F96A7PxeuhQ4cZaxl+dT/uuOPifgD58bj22rYydeoDng+ntWvWyI4P3pfatev4ZTfhp59xujz2mL+i8Morm3w/aQcyjhHZtGlTeXLJYk/ZP/zwQ5k1+2FjvSMGG9/oDh06yJQpU4xC7E40edIkqVGjplGSOHLtJhRp8vfq5a30YlkEGZHVTdhZpW7U0Y8wrYelEMrxouXLlglKc9WqVYVzLyIv5Vx1lX7Z8cLHGYZlDCyi8HXHTeA48d6JKfU3N89su45nvAp6+XbXt1ev3nL00f6P7TPOOEMVZjdoeq0IpBMB9yLn4n7ttxFwwYLHzAaJXbt2FfcqeMrH5g0sNmAhACsLbNrimN+7twnXzR2/wDZv3iMhdop7bYQhLh2EhQxjteSZZ0Js/mOjk7UGEO9GQ2uBwy0PG82IyxQVWa6oZuRFdn5Wdqf1iGTLZxOfs5+y4Y8NX84NktbKBuHE2/5MPr9NgFaeIvmrh+V3Yh+P/LQd5Titb8DbbsBENiufe6Mmecgbj5UOK2+uH51WYmxbg2vjxo1itnUuYBc0Xi1dujRhCLAQ5LW5EKsa8Y5NCReqGRQBRcAgkJXOTfAu49z0Z5dnMOOMh5pspgcemGpsy27Z8rb5hN28eXPp0aNn3LZps7nuicjOZ/gJE8bJu+++a7Jhg3P48DvSOsuydu0aWbFihbz00gY55ZRTpU6dOsZOcLly5eMSFfugXbp0NpvK2MDGetz58+dL6dInxrRVHFcBAYnAB09QyA41aNDQfK1Il61SNjE+9dRTwgbW3/3uUsG+MUs+nPaNqT/LLdgI9tZbb0rDho3MrGM8zgVSlR/j/Gw27N0738jEzP7mzX+XRYseD/cRlhawpKvMGWWkZauWxp4uy1vq1KkreKhy1iUAao1i2czePcY2+KZNm+Qf//h/CbV1LgDoHK9KlSoll156aUrj1aOPzpO5c+eYLzLsU7jyyqtk7NixUXbIcwFbraMicDgRyEql2e0REMBQpHnQKSkCxQ0BlO8dO3YYsapUqRK4Frq4yZ7N8qAUr1+/ziznKVOmjMHdrQij2NM+n332mXGU07Rps7BSnc11V9kVAUVAEVAE0o9A1inN6YdAOSoCioAioAgoAoqAIqAIKALBCPjvKAjOp7GKgCKgCCgCioAioAgoAopAziCgSnPONLVWVBFQBBQBRUARUAQUAUUgWQRUaU4WOc2nCCgCioAioAgoAopAEgjg1IYNy5a4xuFTqmZz2dxcvXo1yzauI8YU2LTuLBse8FKKRCArnZtEVkGvFAFFQBFQBBQBRUARyB4ECgtnSL169YuFwKtWrZSNG18WkV+cbW3bpu7YvRpHZ5q9UNEwRUARUAQUAUVAEVAEFAFFwIFAVs4081a0YMGCn9+MRE4++WQpKBgguNfOdrImsPbu3WvsxObl5antTZ9GxVSYtdPcvHleRkyFHY4yfKqXcjAm1559dq3hg3e7dNlohmG8/RT7vWvXrjXpy5Ur52n2za+i2Yy9X51KcrizrS+66CLjNdNt4q8k1z9W3dLZn+O9/2LJVJLjU8WI5RITJow3PiGwec8SBggfEfXq1ZMJEyaEdRB0D7fvCPKiq0D4kEBHwTQuJnPt8gniWZKxatVqk46/lStXmmURtjxrTpelE61atTR6jrMs8rCMgviNGzeF+ThPkIX6WKpevYYUFBRIq1atTR1tHPwJw98FMjITbn1fIDd8Fi5cYNlEyGLrBRac23TOssIZs/kk25y8FBbOMJ7gOFpauXJFqG7d2qHOnW+0QVl5tJ7c8KKGBzeOeL2bOnVKVtYnU0Lj9QqPeo0aNQxNmTLZ/Djv2rVLKF2eEykD75NOz1t4IWzX7rqEyoBPt25dQhdd9NvQ7353icm/adOmTEFj+ILB1Vc3Dp13XsWw10TOa9e+KiHZ/YTEixnex5xeGeF/660DIrJw7ZSB9OSL5QUN+ZHVmZdz6hRv+5Lu5pv7GszBvkWLvNCaNc9EyMcFYW3atDLtc9VVV4bwtoa3QKXEEPBra/VQFzJe+lq3bpW28QpM8b6J50qeE3gY5RpPmEpFCHiNUTxLhwwZHDdEVtdo2fKakPU0jDdT+PBsQO+AbDq8EkP79+83+ogznzsN6eDRr9/NJg9/Ng26zNatW0w4ZVDe+PFFbYuOQ7yTKM/pKRmeXFvimjy2DoTDhzTkhWzZtlzC3PJRH7dspLF6F7yQ1SkvYe6yTIFZ/CfZJLvtHLZzOmV/+eWXTGN5xTnTFddzHt64bcYNrZNwIUx4PO6DnflK6jnKUP36dc2DwllH3B/z8EBxTpUoA+XODgDuI4pzPIT7XHderlEA0+Xu20uOK6+s5VkuZROXCvHA9qoTYSjFo0aNNOw5OpVqd54gZSpIfpTpWARvr/bjBQil2BKKnpeM559/rrojtiDFcUQR8cKRNgfLXH4JSfd4Fcv9+z333B1Hi5XsJExKuMcbe00/tQpoLBSsIunUKayeQZyTUB5RqCGrWDsVUMKt8mrzuZVSr/JIi6KKwgpZJdopE+fUz5bnVJpRlIlzy2v5uBV/y4OynPJZ2Wx6I4xD2SbcKs1upd7K585reWTbMavWNNvpfj5XuInPCAsXLjKfP9xx2XA9ffo0uf+++6RmzZoR4laqVMm4Xp46dWpEeK5e4L75gguqyshRoyIgKF26tAweMkQ+/vhj4+EtIjLBi4cf/qt8//33vrlwCc3ShyDiU/WYMaM9k/z4449y1113GtfDnglSCFy8+An59NNPfTkQR5pk6U9/uss3608//STz5z8qH3+81xy59iM/Psi2b98+v2zyyScfx5Q/P7+XZ/sdOnRInn/+OdM/cGuMi3QvGX/44Qe54YbrfWXQiF8QoJ8/8cTjnjiSCixHjhz5S4YcO4tnvKIvxkvTp0+XgQMHSV6LFhFZGP9mFBbKX/7yUEbGlYjCivnFhAnjfCXkfp8162HfeK+I6tWrh4NZCupHLEmA2FDHcgyWJTipRo0aZolH0YY7Z0zkubM8Yk4++ZRwApZOwJvlqZZYzkFZ7vKIJ+3u3XuNXsTSCn5Y7EjUKsbWrVvNMljKd5K9fvllNhEWkVuOIMxsnmw6ZpXSTMO5G8QJdnHZieqUKd7zLVu2RA2ENi+K9P79X8RU1Gz6knx87bXX5IaOHT2ryIOjbdu2YZfVnoniCFy5ckVgKgZeu1bYL+Hy5cuNwuAXT/isWbOCopOK4wGMcuhHxD333Hq/6JjhW7duiZlmzZo1MdP48UE2L0XWMkT+N998015GHXmZwSW2H5F/xozpcv/99wWW880330giyoxfeSU9fM+evTGr+Pe//y1mmpKaIJ7x6vXXN8dd/U2bNslll13umb5s2bLSrFmexNMmngxKSODbb78dWJNjjjkmo/c2yjPrkVmr7PyhsEJWuQ4UMiCya9duZv0ya5gpByW8detIZdaZnXJZn2wnHVFiJ06815kk5rldX+1OaBXiVOvk5lucr7NuI6BtpFRBpTNnE514Ymm55pq8bBI5I7Kedtrp0tXjS4MtjI1Hs2fPMkqRDcvEccqUycIvFZozZ7bwO9y0evVqM5hnolxmFv1m2J3lMZOf7D3Iphx+yVKshyp8+RrQqZP3y1my5eZqvi+//DLpts52zNI9Xp1wwgnC5IAfHSVS7PotM53FiUKhUEbFQUepUKFixOa+dBbIl3bM1THbXLFiRcPazvi6y0GhZpOfe6OiVaDd6f2ui2asd0VFW2WZ+FyhrFOabSOl2kDF7UZu0KCeMNvsXp5BPflc/dVXB81nllTrne35p017UJ577jmpW6+eZ1VWr1ptPl927HiDZ3w8gb1795L169f5Jj322GPNjuK8vMhPpM4MI0YMj6nYtWzZUh566K/ObCmfM4t6770TA/kMGzZcBgy4JTCNX2Tjxg3lww8/9Is24UuWLJUOHdoHpmHZ0QsvbIhKk6r8zA537drZKL1RzH8O4EFDG8aqx6RJkyWVfuRXfkkKZ2a/deuWgbP2l1xyiTz9dJEVgZJU93jqku7x6pZbBsjODz4Q7h83HTx4UF7b/Hd55pm1GbEk5C6vuF6fffbZ8sknn/iK991332UUH754YxUDXcU5yceML8oqFi6c4b6C+kSQ15bBl3fO/ZTWbdu2GS4sDXHSrl3RCrAz3n1OfurEz6mgcw1Z5d2dryReZ9XyDBrO6bHG3SCs1Un0DcrN40hdd+hwvdw9dqww8DmJ6wEFBdKp043O4Jw9b9eunTy5ZLG8snFjFAZr16yRz/71mTFrFhWZQMDYsWMDU5944okxy7j22rZGMfNjhNLWrl2wYumXNyi8e/eb5LjjjvNNQhxpkqXbbhsoRx/tP2xcfnktqVXrCuHoR+SHjxelKn+1atUCFWbKvPLKq6R16zZexUeEpdNEXwTjEnQB3l4KnK0in8JHjLjTXubcMd3jFZ/mbx861POFb/KkSVKjRs2MKoTZ0ICYdmN89aOGDRsac65+8amGUz7EumG7rAG9hBlf4qzCzNHGJzoZ2LVrkem6WEszMI0HOddAI4c1MWfLtTIhj5XJZPz5j5lqFHQUf6uDoTBbBy1e+8yc+UvSuf/TrxjW0jaMl2JMQxJuO0ExFD9QpD/8YaBUvqCytGnT2mx0YtYZJfDaa9tIqeNLya233haYP1ciy5UrL6NHj5H+Bf1k7JgxZnYeBXrI4MFy+9A/mhngVG3DUsY993hvJkHp/N//jb2RDoWrSpUqvs1y/vnnx1S8fTMHRFD35ctXeCrOyE5cKvigBDRpcrWgDDmJa2Z4HnlkngnmyLVXOvLDx4uQbf78BUnLT/7evfOjyrVlgcHIkaOkb9/fy6mnnmqDI47IfN1116l99AhU/C+WLl1m2tqtqHD9xz/enlb74P5SFM+YdI9XjCv5+b2lXbu2MnXqFDP+8ZzIz8+Xza+/JoWFM4snEIdRqptu6iGNGjWOGgPsGDVjRmYxYtZ31apnjHJcr14dszQJZRPbyiifllCg0VtYphZrc6DNY4/MLqPEouw6Z35tvD2ShvXLthzKYtOetfNsZ5zhAU8Ufb9NghhaIA22nOFDOnQywnOJjsLcRzZVmDckdwfkjYcw1hFlewPyeRkLBBhmRwFo3LixfiL26KDs2p83b5689957mE0UnMBcd127lBRCdzGUcd999xoHKigAzZo1N8pWvEonbdi3b75s3rw5PPsJn0su+Z1RLuPl45Yrnmtkx+LK22+/ZZJT5sCBA9OmCNJPCwunyz//+U/5zW9ONkomDys3PfroPFm2bJn8978H5KyzzpKCglviUqJSlX/06FFmvTh4sz75V7/6lZxxxhkye/bc8EwcZfTs2cPM2rH50Ka94YZO8uc/T3JXRa8DEKCvM26tWPG08Pn7vPPON/eKztYXgUZfe/TR+fLuu9vTMl5x/y1fvsxYC2Jza7NmzaR9+w5pHf8CmjsrouIdo7KiMh5CopCjFFvnIx5JNCgDCGSd0gwGKMkl1SNgBtpYWR5hBHhg2h3t5cuXS5vieoSrVeyLR5GzpgF5QWEpgReRhrQQaTL5MuNVvoYpAoqAIpAIAnxVZzkqngRRnJUOHwJZqTQfPni0JEVAEVAEFAFFQBFQBI48Aizj6NKlsxGEZRd2yeqRlyx3JFClOXfaWmuqCCgCioAioAgoAoqAIpAkAlm1ETDJOmo2RUARUAQUAUVAEVAEFAFFICUEVGlOCT7NrAgoAoqAIqAIKAKKgCKQCwio0pwLrax1VAQUAUVAEVAEFAFFQBFICQFVmlOCTzMrAoqAIqAIKAKKgCKgCOQCAv5uc4ph7a2NZrdomFwpKCgINPLtzlNcrzF/9eKLL8imTZukTp06cumll8Vl17a41idTcmEibOnSJfL++++bIi699FLjLCSd5sJsGa+99ppxU4rns2xxq2xlt/hUrVo1rXZcMaP31FNPGTvZOHC47LIi/N3tvXbtGnnjjTeF9BdeeKFxakL6WJRp+WOVr/GJI7B48RPG5jUexRJp68RLyr4c9GfsWP/tb68a4fEYmpfXImnzhtxPs2bNkq1bt0qZMmcY76LwU1IEFIHMIpCVM83btm2X3bv3hn+tW7c23mm8PAVmFr70ch8/frx07txJfvjhB7mp+03m2L//zcYeY3pLym5uvFhg2H3jyxsFZZnfmjVrpXXrlmG7vKnWEGWPMnbv2m0czJQpU0Zmzpwpbdq0Ctv0jaeM555bb/LgQYkfHh8JyySBT+vWreRlBz5gRX2IS5V4WalTp7Z88Z8vpO21beXMM8vKxIkTpWvXLmFsUBK4Jpx4nPSQnnzkDyKv9qUu1Cle+Ul3yy0DDObg3qBBfZk27cGoYh94YKo0aFAvnK57926CUwSl+BGgrbt16yqFhYXCfUKfiLet4y8le1PSFy+99BK5996JsmHDBvMbNmyo1K1bO+7+7Kw9DoO4j+bMmS2vv75ZVq9ebZ5/TZs2Cd9/zvR6rggoAmlEAI+A2UKFhTNC5cufE9q/f3+UyOPHjwvVrVs7KjxbApYseTLUqFHD0Keffhoh8pdffhnq0L596MEHH4gIz9WLAwcOhKpXrxZa88wzURCMGT061Lp1q6jwRAP27NkdWEarVi3jYjl37pxQ9erVI2RF7po1q4fuuefuuHgkmgh86tevF3riicejslI22JEmWdq0aZOp086dOyNY2H46btw4E86Rfku4k8gHJvDxoqD2nT17lqlbLPnhzThBelv+22+/beTp3LlTuNhhw4aaMOIg0oIbGK1fvy6cTk+CEejfv19o8KBBYaxt6qK2rubb1jZdST7SVytVOs/0R/qk+3f55ZcmVH369nnnVYziY/m2a3ddQvw0sSKgCCSGAC49s4aClOZdu3aZgWTlyhVZUx+noPXr1w1tfPllZ1D4nIc6D3KlUGjevEdCKMd+1Lhxo9CaNdEKtV96r3AU2qAyeLl55513vLKGw1C8eZC5lUsSWGUiFo8wswROUPp69+7tmyO/d+8QynyyNGBAQcRLgJMPL3zUee/ePebofgG0aVHe4eNFyIaMfkTdvF4InOl5afB6qbKKPS+o8KAdrVLtzM99mOrLhZNfST63L5heOFJvXlz82rok42Lr9uc/32/uBavUuo8VK5ZPaLxq06ZVID8UatpESRFQBDKDQFataQ6aYK9QswgW8gAAIABJREFUoYKcfPLJwnq6eIhPtsWN6tar5ylSzZo15cQTS5tPyJ4JcijwtNNOl+nTpvvWuFu3bjJ27Bjp27ePb5pYEeXLl5fCwod8k7Vt21auuSbPN54I5OyT31dYB+0mwnr3zjeftD///N/u6JSuq1SpKl26dPHlUaduHXn44b/KyJF/8k0TKwJPVF5UtmxZadL4aqld+ypz5NqL6Od9f99Hnn56eVQ02A8cOCgq3AbUrVtH/vKXv8iQIYNtUNSxZs1LJK9F9PrO0qVLS9++fWXs3WPkqKOOlj/d9SchzE3IV+n8ynLxxRe5o/TaA4HmzfI8cSRpw4aNZNq0aTp2eeBG0KFDh1Iaq9xsf/zxR7N0wx1+JK9ZSqmkCJQUBEqM0mwbZP/+/fY08FjcbuRYSvzxx5eSZ55ZK9WqVQusV0mPZJ3swYMHA6uJa9EBA24JTBMUybrWWDRo0GDh50czCwul1PGl/KLlnHPOkYsuukgWLFjomyaZCMqNRW3aXCvDh4+Ilcwznn761Vdf+SpJxxxzjIwaNVo2bfJfF0x+yOseHDFiuGe5zsAO7TtI/4ICZ1D4nPXIs2fNCl+7T8486yypVKmyCebcj9pc20YaNGwQ2MZ+eXMpPBbeYHHSSSfJW2+9nUuwhOvaokVzeffdd8PXXie8QI8ePcYrKiqsWrUL5csvv4wKdwY8/vhi3TzuBETPFYE0IpCVGwGD6n/KKacERRfbuHPPPVfWrlnjKd+WLVvk888/z3mFGXCaNWsmixcv9sSJwPnz50vlykVKkW+iGBG//e1vZfmyZZ6pUNiXL18uzZsHzzT/+NOPgZtyPv74Y2MdxbOQFAJPP+N0eeWVTb4ciPOa/fbN4Ipg1/9LL21whRZd7tu3T9atf1ZatGgh69atFa69iPzw8aJatWqZTZ1ecYStXrVaqGMQBb04H/xZ4QiFQvLpP//py2bTK5ukXLni9zXKV+AjFFG+fDl5dt1a3xfZDRtelLp16x4h6Y58sc2aNQ8U4thjj01Iwa1a9beB/IikTZQUAUUgMwiUGKWZZRkHDhyQ6tWrZwapDHNldu72oUONySZnUShpd48dK/n5yS83cPLL9vP27TvIa5v/7vmCMXbMGCld+kRjyimVevbo0UOeXLLYs4zJkyaZWeJYM/5Nmlxtdrd7zYoT9sgjc405wVTk9MqLSbwPPnhfwMJN7Lb/4IMdKeHTtWs3ufvuezz76YCCArn55n5yzjnlzJFrd/0//PBDkx8+XtS0aTMjI7K6iTp99q99gWb/aJcdH7wvvGh60Zy5cwXFvF27dvLwww97JTF1o4+pCS9PeCICMR/Il52ePXpEtTVtMHr0KOnWrXtEnly66Nv393Lcccf5VvnMM89KqJ9x7wUR9088Jh2DeGicIqAI+CNwFEul/aOLV4y104zJOdYvO2nChPGyatVK2bjRf5bNmb44nmP+avbsWXJ9h45Srnw5M1OJ8nDjjV3kjjvuKI4iHxGZMOGEab5ata4U1rhCjz32mJx44gmyYMGipG2fOitjy7ii1pXCOmCIWewTTzxRFi6Mr4zhw4fJzg92yp9GjhTWpUMojcOGDpXKF1QWv7XBJmEKf8iOqcIyZ5SVlq1aGk7MMKMwz5z5UMpfLDAZN3DgH8yabdtPeQlo0eKaiDpR/zVrnpGePXuZNtm7Z6/Mmv2wTJ36gLEZ7VfFIvn7yQUXVAm3LzPMKMwzZ/4lpvzIx+dulqrYfQIo76NGjjQKte0jmA+sckFVGTpsmNj11yh63bt3N8oeL2hKsRHA5Fz//v3kk08+Edb7YyudtubFk3bIdRzpz23btjHrl1lzDB199NFy5plnyrPPrk94vMLk3Jgxo41JUts6zFhXqVJFnnjiyYT5WR56VAQUgdgIlAil2SrTKCHMemQzWacRxx5zrPCJnxnLWLOa2VzfZGXnQY0t5X//q2gjHZ/s0+14hDJQwL75+hs5FDpkln0kOvuIbWA23p122mmmqiyzYfbp1ltvS7bqcefD2YQTn1ScKbgLpZ+uX78+jI2fEx7WvL755hty9FFHy69P+LU0bdo0rpmwVNsXW9hjxoyR/fu/kMqVLzD2bJndHjHijrBSQRnjx48T7Ltffnkt+eKL/8hPPx2SgQMH5ryi527veK6Tbet4eGd7GtufwQiqXbt2SuMV9x/LxHgJL1WqlFnuBE8lRUARyCwCWak0uyGpV6++dO3atUR4BHTXTa9LBgLOh2XJqFF21IJZPhQWXjyDvEXSPsTrC2p2tKtKqQgoAorAkUAgq5TmIwGQlqkIKAKKgCKgCCgCioAioAiUmI2A2pSKgCKgCCgCioAioAgoAopAphBQpTlTyCpfRUARUAQUAUVAEVAEFIESg4AqzSWmKbUiioAioAgoAoqAIqAIKAKZQkCV5kwhq3wVAUVAEVAEFAFFQBFQBEoMAqo0l5im1IooAoqAIqAIKAKKgCKgCGQKgWMzxThTfFu1ainbtm31Ze/l+MQ3cTGMwLbuhg0bjJmsQ4cOSfv27dVmrEc7Yad0+vTpxqEC0VWrVhU8+aXTGxZmyLCx/N5778nxx5eSyy67XEaOHBVousxDVBN0uE3Ogc+jj86X//u/90z5Z599ttxyyy1pw4f63H//ffLPf/7TYHP99R2le/ebIrDB1Nv8+Y/Kk08ulm+//U7OOussuf32oXG5DUb+kSNHGocsVOB3v/udDB06LGH51eScX49MbzhtvWzZU7Ju3To56qijpHTp0qY/qO3gIpzTPV6577/WrdsY++9BZhXT2+LKTRHITQSyzuQcSnOFChWMZ7OS1mR4UHvttddk2NBhcuZZZ8mn//yncfX77Xffxu2FrqRh4lUf65Fu8OAh0rhxE5Nk+bJlxgPZokWPp8XWLl63cAFsPXhZOXCJu3z5irjLcDo3OfXU/5GdOz/IuHMTnL7cfvsfjWfJttddF4FPOjy09e7dS55//jnj4czigkeyMmXKhD2coUQ1b95UPvvsswgM8YRW5GJ8rs0adQT7u+66Myr8V7/6lRQWzozL7fBTTz0ld911h3zzzTfG+cNXX30lDRs2lBkzZoYVe2TEs+H69euMp0famvYdNmy43HRTj6jyNcAbARTCLl06G++KvXr1ktInnSRvvPG68fzYsmWkl0hvDiU7NN3jFfffCy88Lz/99FMEcKeeeqqsWrU64RfLCCZ6oQgoAoEIqNIcCM/hi0S52vDiBnlk3jwzS+MsuU9+vpx3/nly5513OYNz8pwHdJ06teWFFzZIpUqVIjBYu2aN3D70j8aVeiozLszidO3aOULZcxZ00kknyfbtRTO4znD3uZcb7X379smAgoKMudFGEaxXr47cf9+fJa9FiwiRLD6rVz+T9IPV72XCFnTRRRfJmjXPSosWzeXdd9+1wRFHFGyUdy/FlPZt1KihfP/99xF57AVK7Ztvvh1WfG2484iMo0aNjFIqSMOMu3VdfNVVV4S/VDjzH3PMMTJmzFhP+Zzp9LwIgW7dukqVC6rIyFGjIiDBW127du3MF4lEPWlGMMrii3SPV7wQ9+t3s2ffBiZcaa9f/3wWI6aiKwLFGwFd01xM2mfx4sXyp5EjoxRmxBs3frz85S8PFRNJj6wYzCD2ye8bpTAjFUpirVpXGvfaqUjJkgz3DLOTH7OXPLyCiGUBq1evMi9BNWvWDCctW7asCVuz5hmxSzbCkWk4YVarWdPmUQozrMHn+g4djfvrZIsqLJwRiA2K8ubNr/kqzJQLtvDxIlwD+ynMpCeOJR9+xEvDmDGjfZUKZr4nT54kKNa8wHgRM3jwgJdSMAL0861bt8ngIUOiEvJSe/9998mKFSui4nIlYN68eWkdr6ZOnerbt8GUFxXaREkRUAQyg0DOzjRXqFAuM4imwHX37r2+uWvXvko+/tg/3jdjCYs47bTTZfq06VK3Xj3Pms2ZM1sWLlwoO3a87xl/uAKRkzXWAwcO8ixy6tQpwvr1PXv2eMYnG1ilSlXp0qWL9O6d78mCMik73eV6FqaBOYFA82Z5Mmv2bM+6osS1anWNfP31157xJT0wnvFq9uxZJfp+DHqulfT21/qVPASybiMgTbBq1UrxUnr79y+QESPuiKuVituNTH0OHjzoOdNMhb766qBs2vRq0p/V4wIlCxIVFPQ3OPmJyuxg27Zt5dZbb/NLEjO8adMmsmPHjsB0o0aNlvz8Pr5pZhYWSqnjS/nGn3POOVKz5iXyyiuv+qZJJmLGjOmB2b788ktp0+ZaGT58RGA6v8jKlc8PnAlm3fEdd9wp48ePkx9++MGPjVk7vHPnR1Hx/fr9XlavXh0V7gzo2rWbTJgw0RkUPmf2vlOnjuFrr5Nzzil6YY71Ejpo0GDhp+SPAHjPmjXLNwFjWtWqv5Xly5/2TVOSI+IZr268sXPc49Wll/5O/v3vf/lCxtKnBQsWxbXZ1peJRigCioAvAnEvz+jfv59RVFHugn4HDhyIKoxNIuRPF7Vq1VpQet2/eBXmdMmRTj58wn/mGW9lYcuWLXLKKafkvMIM3k2bNpUnFi/2hJ4HNJ/3L7+8lmd8vIHXXNMyMCkPpquuqh2Y5seffpS9e/y/DHz88cdy4YUXBvJIJrJy5coyf/5836yPPfaY59IW3wyuiBo1fllq4ooKXwa9TNhEfnyuvrqpsFnQj8C+UaNGftEmHMU9iLCEcsYZpwclEdY1sz5bKRiBatWqybp1a32XurBBNxP9PFiq4hN7xRVXxByv2BgbL11yySWBSVn6RJsoKQKKQGYQ8H86ucqbOfOhCCUVxRXCxJtTeT355JMjcqIsB5mIi0icwxd33HGX3H33PYKC7CQ+b3bv3l2Y2VRCaW4mn332qYwdMyYCDhTmUSNHmo1eqZq56tv392YmNKKAny9Qpho1ahzzwcQGqFmzHzZrDN18aFOWkSTysHTz8Ltmw9WJJ55o8AETS5yD2YknniAdO95ggxM+0kf9lFKw6dOnr+HJkWsvIj98vAjZzjzzTK8oE3bmmWcFWs+g7Y8//njf/MjUq1dvYw4NBdyPSFe7dh2/aA3/GQE23N58cz+zudW9RpylQE8uWWxMHeYqYO3bd4g5XiWi5I4dOzbw/mNZViqboHO1nbTeikC8CMStNMfL0KZDUcY8XOvWRcq1DdejNwI87DFx1r17V7m+QwejVGE1o127tiacGTglMQ8EPj/u+GCHNG7cyCiCKIN16tSRb779Ji2mCHnoYFYOSwtOxYpzTNxNnfpAzKbAXjTpUJ6xWmGJc8I6dboxpuJt8yR6XLiwCB8wARt+117bxmAGdqkQD/jHHltoXircSnGPHj3Dy6P46sO1k0iP9QvyBykKWLfACoBTOScvYWvWrHWy9DyfNWuOZzg8LrqomrGKgXLOy4+7DmSkne+/f5IqH54oRgdi1efSyy6TWrUukyGDB5s18+3bt5Np06YJJiDTaTs9uvTiHcJYwoTTa5tfS8t4BZZPP71SsODjvD9AoUOH641VmuKNiEqnCGQ3AklvBGQGmbXFfs5EqlevJgUFA4R1xpzXq1c/LQpNSbbTTFdiTe6rr24y1gfKlStnZtV05sD7JmOX+LPPrjXKDcslghQxbw6xQ1mz+be/vWrKyMvLS1gBeO659UaJsF8QWMc8cOBAORwvQeCD7FAm8MGCCNYy6Ke89HkpR5jcAsO9e/ea5Q6JmB5LRX7y/vGPQ2T79ndM/VEyUJQxdeekCRPGy8KFC8QuK8Piw/jxE3VNqBOkOM9Taes4i8jqZOker+zYFHT/ZTVgKrwiUAwRyJjSvHHjy0ZRps7pVpqDlnvwVm+XjhRDvFUkRUARUAQUAUVAEVAEFIEsRMB/UV+KlWFmOROExyMlRUARUAQUAUVAEVAEFAFF4HAikLE1zYezElqWIqAIKAKKgCKgCCgCioAikEkEVGnOJLrKWxFQBBQBRUARUAQUAUWgRCCgSnOJaEathCKgCCgCioAioAgoAopAJhFQpTmT6CpvRUARUAQUAUVAEVAEFIESgYAqzSWiGbUSioAioAgoAoqAIqAIKAKZRCDrlGZsQyfqxjuTAKaTNzaap017UBo0qGfq2KBBfRk69HZjuzmd5ZQEXtgIbty4YbgvXHtta2MPOJ11e/TReXLVVVeYMipXPl9w2ICt1UTJ2q8tsle8J9HsSaWnrGuuaRHGh3PC0kXYN8aZBfci2PTu3Uuop5O4Jpx40pGefPFQOuQvsnn+qql3ULsRR3n8yKOUOAK0NY6ZnG3N/aNUhEC6xyuwdd5/YO++/xR7RUARSD8CSdtpTr8o8XFEaS5yrLJaqlevEV+mLEjFw7pr185StsyZ0qtXL6lbr55xwVw4Y4bs+OB9wZObOjkpasg77hghixYtlJ9++imiZfHkhvOKm27qERGezAXK3osvviA//vhjVPaHH54V6MrZZqBN+/bNl82bN4f5IOMll/xOHnlkXsbakwfqqFEjo/DB+92YMWNTxqd+/brGWYkbf7z94UkRJzMoom3btpHvv//ewmGOyIAzhpdffiUi3HmRDvnxromrcvCmDfGedsYZZ8js2XPDTnBQMnr27GHuM+pi095wQyf5858nOUXS8wAEaGteWn/44YeIVLQ1HjTnzJkbEZ5rFzjZWbLkyaj7MdnxirHphReej+JHH8dbYCacPOVam2l9FQE/BFRp9kPmMIePG3eP/Ofz/8ikyZOjSsYNMi6iJ0yYGBWXawHMBvJy4aXMggUPjrfe2pKSQkoZXbrcGPVQslijHL755tsxy2jRornxmGfzOY+4hF6//nlnUFrOUQTr1KkdyGvTplc9vfcFZvo5kpniv/71L77Y2HrxFeDDDz/0ZIky9fvf3xx2ue1MlA75UZjnzXvEU0bbdpSJ8v/FF184izfnyNemTRt58MHpUXEaEI1AzZrVPXEk5dFHHy1jx96d8otadKnZEZLu8YoXypEj/ySHDh3yBODUU0+VLVu2ecZpoCKgCKSOQNYtz0i9ysWTw+OP/68MHTbMU7jBQ4bIggWPecblWuCiRQt8FWawYLZr8eInUoKlsHC6p8JlmTIriavzIOJhuWPHDt8kH330UcpyejGfNWuWV3BEWDxpIjI4LpYuXRKIDfVaseJp2bVrlyNX5Cn4wceL4pFt+fLlXllNGLP7zDC7Z8FtBma+x44dIw8//FdfRY+8y5Yt08/dFrSAI7PMBw8e9E2Bcjd37hzf+JIeke7xCiz9FGawpC1oEyVFQBHIDAI5O9PMGsviRrt37/UVKS+vubz33ru+8RqhCCgCioAioAgUNwSCnmvFTVaVRxGIhUDG3GjHKjjV+FatWkaxwMV2vOuci9uNjBLPLEHp0qWj6kUACnMqn9U9mWZhIBteNmzYECh5//4Fnp/+AzM5Ips2bRI4S0zSUaNGS35+H0euyNPBgwfJk08ujgx0XV1+eS1ZuvQpV2hqlyNGDI/5VaJr125JL/Vho5d7nbJTYpbH3HHHnTJ+/LioNa7OdCyT2LnzI2eQOb/ttlvMLG9UhCMgSH5m+Dt16uhIHX16zjlFL8wff+z/kkquQYMGm180Bw2xCMRaykS6smXLyubNb9gsOXVk8/Drr28OrHMi4xWb//bt2+fLj6VFCxf+r9SuHbxEy5eBRigCikAgAlm7PAMFGcXX+YtXYQ5E5AhFtm7dRp544nHP0llucO655ya9DtWTaZYGXnttW7NO0k98NteQJhVq16692RQWxCMvLy8oWipVqhQYT2SNGunfyJppfBo0aBhYr6OOOsq8THAMIj8+nTt3DcSeNbJB7ctmWfpAEJ1xxuly1llnBSUxPK66ShWPQJBEzKYz2iSIWrVqHRRdouM6d+6c1vGqYcNGgXjRFroRMBAijVQEUkIgeLRLibVmTgSBAQNukalTp0Stc0VhHjJksNx77/2JsCuxaTt2vEEqV67sWT9mWRo1apzyQ4O2KFOmjG8ZWFcoV668Z7wNbNu2rdmUaK+9jn36+M9Ue6WPJ4wZpiZNrhawcBNhtWrVSmkWauzYscIssRfB//77i6xOcPSSgXzkh48XIT/WRbzyEkbdgmbRUBj82o7yUCpo39tvH+pZhpXp17/+dWA5Nl2uH3lJ4auLV3uBzfHHHy+DBw/JWZgYr84++xzP+oNZouPVyJGjpFSpUr78aAu1suQJjwYqAmlBQJXmtMCYOhMe9osWPW7sNNeocbH0yc+XJk0ay7Rp0+TxxxfrA9wB8dKly6Rp02YmhFlFlgRAPXr0TJt5q2efXS8sn4BsGZRDGfGYI0Op5gHmRfC7555xMRVvr7zxhGHiq0OH601SHrD2IYtFiIcfnh0PC9801AuzcljJsDO64IIiPHnyVGnXrp3Jy5Frwm37kJ585A966cAcH7JCTvmpUzzmyzAr56XYozCjdOfltTD3E2V4KXvkfeKJJ30x0IhIBDDxiClDcENJpp1tWz///As5r8StWbM2beMVCvELL7wYvv/AGczBPh3mJCNbVq8UAUXAjUDObgR0A1Gcrtn9jBUABkj91ObfMmBkd4qDUyZmWDCBtmdP0drXZMpAvokTx8v27UWbOFlmwyxn0Gypf40Ti8k0Pk5sgurDuleofPlygcqyu3apyE9erGS88sor8t//HpAKFSrKwIEDo+xr43Rixozpxjzeb35zslx44YVmFjxIqXfLqde/IJBsW//CoeSepdKfvVCJ9/7zyqthioAikBwCqjQnh5vmUgQUAUVAEVAEFAFFQBHIIQSyTmnOobbRqioCioAioAgoAoqAIqAIFBMEdE1zMWkIFUMRUAQUAUVAEVAEFAFFoPgioEpz8W0blUwRUAQUAUVAEVAEFAFFoJggoEpzMWkIFUMRUAQUAUVAEVAEFAFFoPgioEpz8W0blUwRUAQUAUVAEVAEFAFFoJggkJVK86pVK6VLl86C62n769+/n2zbtrWYwKpiKAKKgCKgCCgCioAioAiUJASyTmmeObNQUJDr168fdqG9bdt20yatWrWUjRtfztr2we5m9+5dwy8CvBC0aNE8bIs4ayuWAcEfeGCq4ATGvjQ1aFBPnntufVpLmjbtwbSUgS1gePHj/HDQI4/MFTBx4kNYOgh7s+5+2rhxw6h+io1qwq0MHMlH/liE7eTq1auF83JOWCJE+RMmjJcRI4YbT5te5RKG103SkNba/U6kHE0rgn3mNm1ahduLe3PcuHviautcwG/06FFSufL5YXzoz0899VRSVafPgq1z/AN7ayM7KaaaSRFQBOJDIJRFtHXrllD58ueEFix4zFPqli2vCXXufKNnXHEP3LNnd6hSpfNM/aij83f++eeG3nnnneJehcMm37BhQ0Md2rcPvf322+EyN778cqh69eqhqVOnhMNSOenX7/emjJ07d4bZrHnmGVPGkiVPhsOCTg4cOBBq1aplqFGjhqEpUyaHZs+eZc5bt26Z0fYcN25cqHHjRhH4gBVhxKVC1OnKK2tF9E9nX920aZNhz9EZ7jwnP3z8qFevnqFzz60Qlb9ixfKhIUMG+2ULh8MbHuedVzHMg3PuL+d9xPlFF/02oizKaNfuukD5wgXpiUFg/fp15r544onHw4h8+umnocGDBoXo60FtHc5Qgk/8+jN9fPz4xO5HsARTsAVjS2DP+LdmzTM2SI+KgCKQAQSyyk7z8OHDZNu2bbJq1er43giyKBUzcBs2bPCVGPfD69c/7xufKxHMpvTvf7Ns3LhJSpcuHVHtDz/80Mxsbtr0akKe5yKYiJiZx5kzZ8rTT6/wLKNdu7am/FgeCJn9qXX5FTJy1KiIIsaOGSObX39NVqxYFRGejgtmSjt37iTr1j0nZcuWjWB58OBBqVPnKuOuPVlPk8yYzZnj74r75JNPFr78MJN24MCBiPKdF71758vo0WOcQeac9u3atbP8+OOPUXEE4DYY3ILkv+22W2TFihXy008/RfHApfeGDS+Z8EaNGsr3338flYYAXKgvXZrcTKAnwxIcyIznzMKHpG69elG1zM/Plxo1qssf/jAwKi4XAujP3I+HDh3yrW4i4xVfq95+e4vMnh19D76ycaOMuGOEvPRS9n5t9QVJIxSBYoJAVi3PYOlFPY+BuZhgmZIYQQozjHfs2KGfOkXk6aeXy223/SFKmQWjSpUqSZ/8vrJ+fWrLNF544QUZNnSYbxnNmjaPucyCT/5fffV1lMKMnCjRZcqcaZTzlDqNR+bnn39OUEjdCjNJeckg7sUXX/DIGV8Q9Qqib7/9VlaseFq+/vrroGS+dad9/RRmGBIXJANLnJYtW+apMJP/hx9+kJEjR8rUqVN9FWbSvf32W7pUI7AFiyJRCitXvsBTYSZF71695I033oiDU8lMUlg4PVBhptbLly+Pu/KbN282mHpl4KXl9NNP12UaXuBomCKQJgSyaqaZ2asuXbrKiBF3hKvP+mY2BjqJmS5mvIKI9ZVK2YfAaaedLo88Mk9q1qzpKTyzoAsXLpQdO973jI8nsEqVqjJp0uTAMphxDSJ4dOnSxSipXumQc/bsWbJnzx6v6KTDYpWLwnn//ffJp59+mnQZmlERcCLQvFmezPKY+STNvn37pFaty5zJ9TxFBDZvfsPzpRi2ffLz5dl1a1MsIb3Zd+/em16Gyk0ROIIIHHsEy064aC9FeObMh8J82CTIZp54qLjdyPEo8e+8867EWhIQT92zOQ0btt5443VfhXbvnr3SrVs36dmzV9LVLCjoL5/+85++ZWx/Z7tRqjt2vMG3jJmFhb5xRJx00knSoEFDmTBhYmC6RCP5fOu14c3y+fjjj6VHj54yYMAtNiihY7VqF8qXX37pm6dUqVIyefIUGTjwD2ZW1y8h9d++/b2oaNp3wYLHosKdAX5LO0jDzGenTh2dyaPOzzmn6IX544+DH+aDBg0Wfkr+CIA3L2F+tPODD6RRo8by6KPz/ZKBmcVxAAAgAElEQVSU6PBYy+6o/LBhw+O+H2+6qbuAqdeXJHj954v/yOOPL5batWuXaFy1corAkUIgq5Zn1KtXXzZu3HiksMpouQ0bNgzkz5rmXFeYAejaa9vKgw8+IKzPdRNrmmfNfliaNm3qjkrounHjxnLvfff6lrFu/bOSl9cikOevT/i1bHplk2+atWvWStWqVX3jk41o0uRqs+aYGT43gRkz3CgxyVLQiwI8jz/+eGnT5lo54YQTAovw40P7sm7Zj4jzy0se7pFjjjnGL7sJP+OM0+XCCy8MTEM5zZvnBabRSDHK2c6dHwjrab1ozty5ctlluTvTXFBwixx9dPBjtm3btl7QeYbVqlVLwNSLaIN///vfqjB7gaNhikCaEAi+m9NUSLrYdO3a1dhidi/HSBf/I8mHGcfjjjvOUwQ2Lz3wwDTPuFwLZAalRYtrpGePHrJly5Zw9XlgtGvXToYM+WNKmwBhiFJWtWoVUwaKuKW1a9aYMtjAFusFpn37DvLa5r8LedxEGHGkSTexQe7GG7tI5843RuADVtde28bEBW2iiyXP4MFD5Oyzz/ZN9te/zjJx9uiVkPzw8SLaF6XeS/FF+QCzIPmJY227H8F3xIg7TT/xS0P4mWeeFVhOUN5ci5syZar0LyiIWGvOS9uQwYPls88+lV69eucaJOH60p95kfXqz4T171+Q0HjFVyIwBVvnizHLrmiDO++8M1y2nigCikAGEMiARY6MsiwsnGHMSDlN9ezatSvUr9/NJhxzZNlKmJ3r1q1L2EwWZrry8ppFmMnK1rqlW25My1WvXi2MVf36dUOYvkonPfjgAymVgUkzZBwzenQIk3j8OCfMafosnTJbXnPnzgmBiTX1xjlh6SDMXrn7aaNGDaLqRB0JtzJwJF88JsimT58Wuvjii8J5OScsHoI/Zu2cJucom+t58x4Js+DcKZtNU6PGxSHuRaX4EcDEIKbQLJ708XvuuTuuto6/lOxNOWrUyAiTovTnpUuXJlUh+jfYOsc/sLfmHpNiqpkUAUUgLgSyaiOgfWdgpnnlypURGwBbtWotrVu3Fo5KikBxQYD1xcuWPSVr1xZtzsnLy5MmTZokNLtUXOqSbXI8+ug8Y0nj66+/EpY3DR06LAp3rG3cd9+9xjrNCSecKFdffbV0735TzC8J2YaFyqsIKAKKgCKQOgJZqTSnXm3loAgoAoqAIqAIKAKKgCKgCMSPQFataY6/WppSEVAEFAFFQBFQBBQBRUARSB8CqjSnD0vlpAgoAoqAIqAIKAKKgCJQQhFQpbmENqxWSxFQBBQBRUARUAQUAUUgfQio0pw+LJWTIqAIKAKKgCKgCCgCikAJRUCV5hLasFotRUARUAQUAUVAEVAEFIH0IeDveit9ZaSNE6bm+vfvJ9u2bRe3S+2guLQJcJgYbd++3bhCxoFGkCOHwyROsS0Gc25gBYFTLIcjyVQEk2R79hS5W85UGcnIFU+eTOPjxCbIbS+ulqHy5ctFmXwLqkem5Q8qW+OSQyDZtk6utOzKle7+HO/9l10oqbSKQPFGIKuU5uINZerSoQD273+z7N+/X66odaV8+NFO+emnQ3Lvvfepa1QHvDx8Bg78g6xfv864XD7qqKPkhx9+kN698wVvfekgyujZs4e8/vrmcBnw7dOnr4wYcUfcRcBn/vxH5bnnnjN5Dpcd4D/+cYg88cTjUqpUKVPud999J9ddd53cc8/4lF8u6Kd/+MOt8tFHH8mPP/4oeKykDe6/f5LxmGjBeeqpp+T224dIKBQy7YNr6vPPP994twx6GQSzu+66w9hYdsp/ww2d5M9/nmTZxzziJe3pp5fLv/71L7nqqtrSp0+fKKUdxWPWrFnyt7+9KmeccYZx0x7kpjtmoTmaYOnSJTJ69CipVKmy/M//nCabN/9datSoKRMnTozCPNcgSvd4RZ8dPny4bN26RWrVulL+85/P5cMPd5qxLxNeRnOtvbS+ikAQAlllpzloNjkoLgiA4hKHItK5cyf5059GGjfOVi4e/EOGDJbHH1+sivPPoDRt2sQ4o7AY2SNuaRs3biJz5sy1QUkfr7rqCvnkk0+i8lNGhw7Xx6W80aZt27aR77//PoIP7tKXL1+Rsa8IvXv3khdeeF5++umniHKR/YorrjB9KSIigQse2I0aNYyqEyzgP3nyVKM4ozAPHjwwSgbSUf8XX9zgq0y1atVS3n13e1TeeNsXJaV586by6aefyqFDhyJqd8894+Smm3qYMJyfoOih+FtCsS9Tpow8++z6lF8uLM+SfixSmMfI/PnzpWbNmqa6Bw8elMmTJsn659bJypWrcxrLOnVqC/eNm+Ltz8589O26detIx+s7yuAhQ6R06dImesuWLdK9e3fTn1VxdiKm54pAehHQNc3pxTNpbjNmTJeBAwdFKMwwY9Zr0qTJMmzY7UnzLkkZeYnYuXOnZ5VQEl988YXwkg3PRHEE0hafffaZZ0rKYAbX6yHozMDD7YYbrvdULlGiUaZJk27i8/jzzz8XpXBSDrJv3rxZ7Cf0ZMoeOXKkZ50sf2aWIY5upd2WR/3h40XI9t5773rmhR91iyU/uPPC41aYKQ8lmfy031133RmhMBOPAk3e9u2v8xJPw1wI0IfB1KkwkwRlbuSoUVLr8itk3rxHXLly55Lx6pNPPvasMP050fFq2rQHpXmz5gZbqzDDnJcV2oC2yMS44lkBDVQEchABVZqLSaOvXLlC+PzsRSjO//jHP2Iqal55S1oYn9u9lCFbT5Qe0qRCTz21NEqZcvOzbrHd4fZ67do18s0339jLqCOKI8s20k2ZxuellzYEisxSjNmzZ5klGUEJ/fgsWrQgEHvaPqh9md1///33fYumf9x//32+SrvNyNITeCkFIwBGVS6oGp5hdqe+qUcPefbZZ93BOXO9aNGitI5Xf/vb3wRMvQjFmbbQfuuFjoYpAulBICuXZwRV3WuToFf6ChXKeQUf0bDdu4s2nHkJkZfX3MzAecVpmCKgCCgCRwqB5s3yZNbs2Z7Ff/jhh9Kq1TXy9ddfe8ZrYOIIbN78hpQtW9YzY5/8fHl23VrPuCMVGPRcO1IyabmKQLIIZOVGQC/F2K5pjheI4nYj16hxsezbt89zMGR9IJ+si5vM8WKdznS33XaL2SAWxHPUqNGSn98nKElgXPfuXWXDBv8ZVdYiPvTQ/2fvTMBrutb//yqtKqr3r6WXhBalhqBac0iM0Qw1lyQIQUlCaygJbTOZKWKKthJThJpnEoIiVOlVc0tpK4aivb/LRQdV5/98V+4+9jln733mJOecdz1Psvde47s+a+193r32Wu/6lAICOqnmM2rUSFq3bq1qOAL8/PwoIyNTM461gfg8u3ixsgIj5WXPgsnGjV8X/VTKy/iIOcFz5syl9957V3PEGD/6+PE3dpbIHxsbRzExw4yTimtMvejVq6dimORZubIXlShRnC5fvix5KR7t7UeKmbqZJ0Y1hw9XbgtU9eL331Pjxk0oI2OFm9Xcsuo4+nnVt28fOvHNNxTQSfnZ88OPP9DOndlOWy9hWa05FhNwXwI8PaOItG2vXr1p+rRpitJgQU14eB/FME/zDA0NF9Ys1OoNSw72Wj+Ijh4mFrWplQGluXnzFmrBwh8m2BBPzUG5fOutzmrBNvvDQoQ5Z0kctTywyEirXrCOERLyFlWtWlUtC5FebbGSJbJ17qzODWbtwFbL1a5dm5o2baYVRcgIixvstAnACsrDh38R5u4aO7zsT5s+zcCiinEcd7929POqa9euginYGju0AdpCyzKNcRq+ZgJMwDoCrDRbx8tpsYcPf5cufH+e8HntUG6uKAefNkePGkXHvj5qlZkzpwlZBDKGMtq7d6ii4gZlCaOD9tprRhmwwqGmfC1YkGq2DCjuap9QgbF06dKaI9W2ovby8iZYiFBSbOGHMMSx1cHcnpeXl2L+sIoxZ848kfX8+anCSoZxOZAB6dXM9tkrP9L7+7cxLtbgOjk5mUaMGCFM5RkEyC5q1arFyoeMh9bpwoWf0oQJyZSSMlv/FQLPsP4REcJai9oLklae7hKGZ4nai6YtzyvkBQs4YCv9TuALJdijDdAW7JgAE3AeAVaancfWqpyh6GVmrqIGDRvQuPFxhDnXAwb0p+Iligt/exVBq4Qp4pEnT54ipkdUr15dL2nDhg0FJ8mcmD7AxhOYrYPN50qVKokcoBC+8UZj8elTa1qGvLj09CUi/RNPPL7NoDRiY57PP19jVvGW52XNORisXPk51a1bT58M5/BzBJ+DBw/RO+8M0b8UgE379h2EGTlplAtHmJWDP8Lh8BKBdEiv5eyVPyVljmgr45ceSamHYo2/LVu26WWT5EGamjVr0po16yQvPpohgLbesWOnUJg7dGgnnl1Tp02lsPAwmjpV+euZmSzdKhi2xTGdy1HPKzAVbKdNFazBHIoz2kC6/9wKIFeGCRQhAi65EFBrTrNSWBHizaJ4IAF8Nj1+/LioeaNGjeyePuKBCG2qMuY3w4oJTHBBmcDov/HLJ8IQB3GxkQqmzGB0kB0TYAJMgAkwAWMCLqU0GwvP10yACTABJsAEmAATYAJMoCAIPP5uXBClcRlMgAkwASbABJgAE2ACTMAFCbDS7IKNxiIzASbABJgAE2ACTIAJFCwBVpoLljeXxgSYABNgAkyACTABJuCCBFhpdsFGY5GZABNgAkyACTABJsAECpYAK80Fy5tLYwJMgAkwASbABJgAE3BBAtpbZxXxCkVFDaXc3IMEM3Pu4mAC68svD9O5c+fEJhCwCWxsJstd6mpvPbCF765d2YIPdm9zho1SmCI7cuRLUUZAQIBdG4PYW19r04MPZIdzBh+YapP6Kcy0wfaxsbt69Yow53b16lWqU6eOVRu6FET7GsvL17YTkLc1+hub7jNk6ej+bMn9ZygBXzEBJmAvAZdWmu2tfFFLv2HDekpMTKCar9SiwKBAys7KFrs8YZMNT95Vy7id8GIRHR1F165dozb+bejuf+9SaGgo+fq2FJspOOIlAz9wcXFj6d69+4Rtm69dvUaBgW9SYGAQjR//gcUvMlAk5s+fT9evXxfVwGYpw4YNU1Qwjetp6zX4dOvWhbCj5N9//y2ywfbiL7/8Mm3YsMli2dXKx4tE377hIm8pf8SNjBwoNoSR0qEvL16cLl2KXQSxuUtGRqamQiXJ/+OPP9Jff/0l0iMddunDpiOWtC/ymDVrJu3Zk0MPH/5NL7zwPI0b94FJuajLlCmT6JdffqUSJYqL7bXj4xMsKkNfMT6hd98dRps2bdKTQH97+umnRXs542VWX5ALnOAZMHToULp//75Dnld4Nr39dg/6448/9PcHMLz9di/CRirsmAATcB4Bl7bT7E4jzfjxHjJkCGVkZFCDBg30LQ7Fp2vXrjR79ixq16693t9TT6AMhYeHUuM3mlB8QoIew7179yghPp5u3LxBmZkr9f62nKAMX98WQgkcMWKkPguUge1ra7xSw6KdzvASNGLEezRq1GixLTcy2rdvr1DmsGuds16EWrRoTvihVnJQ2o8cOaoUZJEffrDfeivY4MdaSgjFFjv+YYvsKVMm02effapX2qU4OEKhwm58aspUs2ZN9C8Z8nQ4x2j24cP5o+fGYdI1ZOzcOYQePHggeYkj5MP26NjtEW758mWUkBBvIiN2Dty8eauqfAaZ8gW9//5oWr9+nQlHoEFb799/wKkviUW5CRz9vMJ97efXWvX+i4job/DiWpTZsGxMwBUJ8JzmItJqkydPpI8++tBAYYZo2HoVinRSUmIRkbRwxcjJ2U0VKrxooDBDojJlylBScrJQtvACYo/btGkjNWnclOQKs1TG0mXLaMeO7QTFTMvhxxIjrYs+SxP54EUIf8hz69btIkxNsdXK11wYPtneuPGzarQbN24Qdii01aGPSqO/xnlg1DktbZHwxlE+Ci2Pi/TIR8lBNsio5lA31FHLDR48yERhRnzIg5cWpEcfUVKYEQ/Kdu/eb2sVwWH/I4B+vmbNas22jo+P91heeHF25PMKLLXuP3zZQZuwYwJMwDkEWGl2Dlercz158iS9+WagYjooW7dv31YdPVRM5KaeOTk59HbPnoq1g+KMqRRff31MMdxSz127dtGAAQMUo6OMHt176ucKK0YiIvxYdmjfkQI6dTKJgvZEHnv37jUJs9fjiy++oIcPH6pm8+jRIzFlQTWCmYBTp06aiUGUnp5mNo5aPphOARnVHOqGOqo5vMzcvKmudENxXrBgPqWmzldV9JA3PqXb+/KlJqM7+YN3iRLas/xOnDjhTlW2qi5Hjx516PPKHEu0hbkXeqsqwJGZABMwIOCx0zOqVPEyAFEULvLyrqqKERDQkb799pxquKcElC//PM2fN59a+voqVhkjLVDarlxRnp6gmMjI8+WXq9HcufNMRv2laCkps8UUC+la6VizZi0KCwsTUzyUwrOzsuij+A81R1WV0rEfE2ACrkOgIJ5XRZ2G1u9aUZed5WMCxgS0hwiMY7vRdVG7kVu3bkUYbcYopLG7efOmUJiLmszGchbE9bx5c2nPnj2qSvOhQ4fFFIiePW3/vB4XFys+4yu1Beq4efNmWrQoTdMSBEYztdy169fEnOa4uHFa0awOQ7nTpk3VTBcbG0cxMcM046gFas03ltKsX7+BunfvJl0qHtXmVs+c+THNmZOimEby1JIfo8O9eil/iZDSV61aVYyOYr2Alps5cxbZ04+08naXMIxqBgcHao7aN2zYUMxhd5c6W1OPSZMmOvR59eabnejs2TOqImDe/rZtO3g+viohDmAC9hHg6Rn28XNY6p49e9KE5GTCYjNj98H48TRkyFBjb4+8xqLItPRFwjKEMQCM3h479pWmMmucRum6c+cuwuqDklKFObf4xA9TgFquRo0aYi66Unsi3YoVK8R8da08bAnr27cfYSGbmkMYprDY6qKjYzQ/x8OsXOPGTYR5ObUy8AkZ+Si5Xr16mZUfdVRz3t7mvyA1bdqM/Pz81bIQ/pCRTaZpIhKBWMyJdRdqDkqcrS9oanm6kn9ERIRDn1cjRowQVmjUGKAt1BbYqqVhfybABCwnUDwxMdFlV5ht376N8vLyVH+ALcdQ+DGbNm1Kx785Th9//DG9WPFFMafy5IkTFBcbS7fv3Kbp02dQyZIlC1/QQpbg2WfLEUYKQ0N7UbFixahUqWcII/GfffopzZmbQqtWrSZvb1N7wdaIjfQVK1akqKghgvkTTxSnSxcv0pyUFFqydDEtWbKMKlSooJkllGYsWrxw/gK9/sYbekUQSvTUKVPo1i+3aNKkyZp52BKIPgLTbFlZO03mBkMRTEhIpFatWtuStUjToEFD8UXkp59+Ip1Op88Heb/44otiRBEyvPVWZ8KCyt9//91AjieeeEJYsIBZNyWH9n3uuecU53vDEkNq6kJNpQDpYYrwu+++M5BPKgsvDStXfk7Nm7cQixaVFitC0QsJCaFevUKlZHzUINC2bVvasGGDMIEmjyZZKxk9+n25t0edO/p5hefKqVOn6PLlyyb9+x//+AetXQuTjOU8ijFXlgkUJAGPndNckJCtKQsjmfv37xcroLEgqlu3bk4zTWaNXEUtLixPyO0fQ1HEqI7SBhu2yo5P/Zs3bxIWOaAgvvrqqzR8+LsW2/DFKnaYRTx9+gx1aJ9vLnB3Tg75+NSjhQs/sTgfW+QHn+nTp9E333wjkr/ySk1KTk52GB+wmTFjOv3888/09NMlqUePnoQRYLkNZdQ/I2M5rVu3lv7440/65z//SWPGjLVoBBfyw1LA999fEPK/9tprNHZsrMXywwwarDpIDkp96dKl6fPP1+iVbkwtGDhwAN26dctg8WSXLl1o7lzt6TVSvnzMJ4C2XrToM9q2bavVbe0JDB39vDK+/4KDQ2jw4HcM7j9P4Mp1ZAIFTYCV5oImzuV5HAEoZ+fOnRUvQs7Ymc/jgFpYYSgq+ezPiR0R1aZbII6066PazoYWFsnRmAATYAJMwI0JuLTS7MbtwlVjAkyACTABJsAEmAATKEIEeCFgEWoMFoUJMAEmwASYABNgAkygaBJgpblotgtLxQSYABNgAkyACTABJlCECLDSXIQag0VhAkyACTABJsAEmAATKJoEWGkumu3CUjEBJsAEmAATYAJMgAkUIQKsNBehxmBRmAATYAJMgAkwASbABIomAbfYRjsoKJB8fX1p3LjxRZOyFVLBTNbGjRupRPES9PDvh9S2bTu9XVkrsnH7qLALm52dRbBXCgdTYY7e8hhlbNiwnn7/7Xd6pHtE2FjA3E6ARQk8bH7L+UB2uR1le2RFP83JydGzadTodUX7yyh/y5bN9Oeff4qd47AboSW2tAuife2pP6c1JYC2Pn78X/REsSeo1DOlqH379ha1tWlO7ufj6P6M+2/z5s1iZ1RpMyE1k4ruR5NrxAQKj4BbmJxzF6V5zpwUSk9Pox7de5KXt5ew67t4cTr17h1G48e7/guBo7o57Op27hwidpp7+PChyBY7zWFHul27chyiGKIM7DrYpHFTatGyhSgjIyNDbJCxcuUqi8uAYo8ts/fv/0Lk0aBBAxo2bLhTlW/I3rv322JLdmnHO2zuUapUKVqzZp3dL2F4kRgx4j0aNHCwvp8uXbqEOnV6k6ZOnaZv5sjIAbR37x6DHQEROHHiJOrXL0Ifz/gE8r/9dg+xm6DUvthdrkyZMgabkxink18jj48++pC+/vqY8C5XrhyFhYWbvFgvX76M5s2bK3aVRMSGDRvSlCnT7GYkl8Xdz6EQYhOf69eviy3a8WJ29cpVWrd+LSUmJnn85kzoi458XqHPJiUl0l9//aXvWri/a9asKe5vR70Y6zPnEybABPQEWGnWoyjckz17cmjkyFFilLl69ep6YbBFdEx0NLVq3Yree2+E3t9TT/AD3ahRQ3rw4IEigkqVKtGRI0cVwyz1xChOYOCbNGP6xxTQqZNBsuSkJLrw/QVasSLTwF/pAsollIYZ06dTS19fEeVQbi6NGTuWEhMTnKZM+PjUpTt37iiJRGXLlqUvv/zKYqXfOBOMJg4ZMsSkn2J78P4REfRao9fogw8+JOzIt379OpKUdnk+UIDzt7JuLvcW52jf5s2b0t27d03C4AHl9/Tps4phkieUlLfeCjZQKhAmbeu8ePESEVVNqUfgokVpTn2xkWR1h2NcXCxd/P4iLV22TLzYSHU6efIkhYQE0c6d2R77EmLueYWvLocP538tk7hpHdG333wzQDVK+/YdSOrfqpE4gAkwAZsJ8Jxmm9E5NiFGDqBcyRVmlFCxYkX6KD5ejEA7tkTXzA3bMqspzKgRtkTG6K49btmyZWK031hhRp6jRo+ma9euiZ3mtMqA4o3RWEy1QT4YJcUfzuEHpRlxHO0wJeP+/fuq2f7++++0adNG1XBzAZmZK8QIrnE/Rd0WpKbSp59+QteuXRVbWCspzMgf/snJSYpFQTbIqOagnKOOWg6j1PJROCkuysXIN0bq0Ee++GKfySi4FDcmJlp86ZGu+ahMAH145cpME4UZsfFVBS+NK1ZkKCf2AF9sLa71vLpx42ernlf4eqLlcnJ2O+W5olUmhzEBTyLASnMRae2ffvrJZFRTEg0/PuXLlzerqEnx3fm4desWzerhc/4XX+RPhdCMqBH43XffUecuXRRjQDnEvNxdu7IVwyVPKMaYvmCsXCIcfpiCgziOdhgJlqY0KOWNsN27dykFWeSH+clvvhmoGBcveB3ad6SsrCzCPEstd/bsGcVgyKYlPxRf1FHNIUxL6X706BEtWbKYFiyYb0E5h9WKYf//Ebhy5Sp17BBgMMIsh+Pn50+HDh2Se3nUubl7DX1dqz8bwzp//jtjL5NrtAk7JsAEnEPAY6dnVKni5RyiduSal6f+sGvevJkYwbMje05qIQFvb29KTf1EjJQpJUlJmU2zZs1UCtL71axZi8LCwigycqDeT36C0dIZM6bTjRs35N4ucX7u3HeqShKmaOzdt8cl6sFCOoYAlOa09HTFzC5dukQ9enSnf//7V8Vw9nR/Alq/a+5fe66huxFwC+sZtjRKUbuRW7f2Jcx3lea+yuuEuYH379+joiazXMaCOp8582PCgkk1hwWBn376mV3zUSdNmkibN21SVZqxat3cPE2MZGI+o5rDFI+IiP4UEzNMLYpN/lDGY2PHao6ixsbG2VzusGExop8qTV3B/HsozF9+eYTwkqfl6tatRzt3mk6jAbdp06aqJsWCp2nTpqtaSsGoXVhYb8W51FKmVatWJeQDhU7LzZw5S7UcrXSeFCbN/8e0GXyFMXZYANuyZUuaP3+BcZBHXDv6eYW5+idOnFBlh3594MBBtlqiSogDmIB9BHh6hn38HJZ6xIiR9OFHH+pX8UsZ48doQnIyDR78juTl0UdweOqpp1QZvPDCC3YpzMg4IiJCrPzPzjJV6rAQsHLlymYXNsEEGyxKoP2MHfygeCOOox3MysFKhpoDu759+6kFm/UPD+8jFjIaK5yoExasDh0aTZUre1EXlektKAAL8uLjExTLgmxa7Yu6aZn9q1u3LuHFScu1a9eeevToKRRnrXhswkuLTn4YFrL5+raihPh4k76OPoKvMugznuoc/bwaN+4DzX7bsOFrrDB7amfjehcIgeKJiYmJBVKSgwpZuDCVunfvKj57P/300yLXqVMnU6tWralx48YOKqXgs6ldu44w2RQbO0bYtL1z+w5t27aV3n13ODVp2lRYJCh4qYpeiZgrC6UHI6ryhWYYYYFliBUrVlKFChXsEvzZZ8tRtWrVaMzY9+mXW7/QH3/8QQcO7KfRo0fTL7/eEqvTzc3ZxRQPzFNfnL6Y/Pz99aNwGI19Z/Bgql+/Pg0YMMAuOZUSQy5//zbCNjLm7+JPclBGN2/eSpDNVoe0FSG2EqkAACAASURBVCtWEOb47v73Lt365RZ99dURiouLo3/84x+UnJws5jO3bOkrFtr95z//MZAB5U6YMJGCg4MVRdBq39KlSwuTWlryIz3k2L9/P+l0OpMyYF0FU29atWpFq1atVLTSAaV76NAoCgpSltEkUw/3wLN3zZrV9Omnn9KjR3/TrZu3aGVmJr333nBhgrBjx44eS0irP9vyvELfR//eu3evAVM8/2BHftWq1WbXExgk5AsmwASsIuByc5pPnz5FsMuMjUyioqJp+/ZtwkYobOdixMPVHUwKYVX/4cOHqUWLFmI0kke8TFsVUx9gSePIkfxFYW+91VmMQDrSRinKgNm4o0ePUpUqVcQCPms3UMFUD1iUeOON/Bc62A0eMmSo01+CjPk0a9ZcjDA7ig8+y2Mh47fffitGtl5/vZHiCDCsVOAevXr1mnhRGDRokEUjYfbKDwsZsNBRrFgxoUQgvzp16hjYsYVfTEyUULDBBRuwQNGG6UdHT5sx7cHu54MXWYwu5+XlUe3atalr164WtbX7kTCtkXF/tvd5hfsvLS2NTp06RRUqvCAGEqx9NplKyT5MgAmYI+BySjMqBBNHU6ZMFrZoYbcVCjQ2LmDHBIoiAfxg4mUIDtMHHKW4FsW6FjWZJMsE3t5eqgqcvH34BbWotSDLwwSYABMoOgRcUmkuOvhYEibABJgAE2ACTIAJMAFPIKC9YsYTCHAdmQATYAJMgAkwASbABJiAGQKsNJsBxMFMgAkwASbABJgAE2ACTICVZu4DTIAJMAEmwASYABNgAkzADAFWms0A4mAmwASYABNgAkyACTABJsBKM/cBJsAEmAATYAJMgAkwASZghgArzWYAcTATYAJMgAkwASbABJgAE2ClmfsAE2ACTIAJMAEmwASYABMwQ4CVZjOAOJgJMAEmwASYABNgAkyACbDSzH2ACTABJsAEmAATYAJMgAmYIcBKsxlAHMwEmAATYAJMgAkwASbABFhp5j7ABJgAE2ACTIAJMAEmwATMEGCl2QwgDmYCTIAJMAEmwASYABNgAqw0cx9gAkyACTABJsAEmAATYAJmCLDSbAYQBzMBJsAEmAATYAJMgAkwAVaauQ8wASbABJgAE2ACTIAJMAEzBFhpNgOIg5kAE2ACTIAJMAEmwASYACvN3AeYABNgAkyACTABJsAEmIAZAqw0mwHEwUyACTABJsAEmAATYAJMgJVm7gNMgAkwASbABJgAE2ACTMAMAVaazQDiYCbABJgAE2ACTIAJMAEmwEoz9wEmwASYABNgAkyACTABJmCGACvNZgBxMBNgAkyACTABJsAEmAATYKWZ+wATYAJMgAkwASbABJgAEzBDgJVmM4A4mAkwASbABJgAE2ACTIAJsNLMfYAJMAEmwASYABNgAkyACZghwEqzGUAczASYABNgAkyACTABJsAEWGnmPsAEmAATYAJMgAkwASbABMwQYKXZDCAOZgJMgAkwASbABJgAE2ACrDRzH2ACTIAJMAEmwASYABNgAmYIsNJsBhAHMwEmwASYABNgAkyACTABVpq5DzABJsAEmAATYAJMgAkwATMEWGk2A4iDmQATYAJMgAkwASbABJgAK83cB5gAE2ACTIAJMAEmwASYgBkCJcyEF9ngvLw88vVtQeXKlaPTp88WWTmtFWz58mW0ZMli+uOPP6lEieIUGBhEMTHD6Nlnn7U2K7eO/+WXX9KUKZPol19+FfWsXbs2JScnk5eXt8Pq7agy/vvf/9LZs/l9tG7dugXSlihv5syP6dtvv9XzGT36fUL5jnAbNqynjRs3UrFixUR2jRs3poiI/gZ1Q71nzZpJe/bk0MOHf9PTT5ekAQMiqV+/CLMiOEp+tCGct7eXat+4evUKXblyVcRr3ry5Wdk4gikBtPW8eXPp/PnzIhDPq5CQEAoI6GQa2QN9HPUskdBlZ2dRSkoK3b59W/xONG3ajOLjEwzuPykuH5kAE3AcgWI6nU7nuOwKLqeFC1MpM3MF3blzh8aNG09hYeEFV7gTSsKPTqdOAfTzz9fp77//1pdQokQJqlChAu3alcMPxP9RwYtFYmICPXz4UM8JJ08++SSlpi50yA/1ggXz6eOPZxi0hVTGli3bLFY+339/NK1Zs1rI9sQTT9Cff/5JXbp0oYkTJzutPcHnww8/MGAjXUycOMkipVWKr3SMi4ulo0ePUuzYWHrxn/+ke3fv0oYNG+jY10dp5cpVQjmFIhoUFEj/+c9/DLIAg7Zt29HixUsM/OUXau2LOJbKjzySk5MI5Un9pGbNmrRmzTo9d9xz/ftH0NdfHyPcZ/jDvTdq1GjxoiqXic/VCeAFJzS0F3Vo35H6ReS/EN34+WeaOm0qNW3alKZOnaae2ANC0BcTEuIVnyW2PK8iIwfQF1/s0/drCeFTTz1FmzdvtfjZJKXjIxNgApYTcFmlGaPM4eF96ODBg6K2+LF2ZQclcNmypSYPVqlO7dt30FQ0pHjufoQy1qKF+mggfjiOHz+hV4xs4YFRobCw3qptUbZsWTp7Nn8EVyt//Ljt27fXJJ/ixYtTkyZNaPXqtVrJbQoDHz+/1vTXX38ppseLxf79B1RHXRUTyTwxwjx//nzasmUrlSlTRhZClJyURBe+v0ArVmRS+/Zt6cKFCwbh0gUU2eTkCYrKuyXt+8UX+zXlV3vhQfmVKlUSL6A479ixPV2/fl0SS3+EfP37D6DExCS9H5+oEwgJCaKuXbtRZORAg0j37t2jkJBgio6Opp493zYI85QLS/qzNc8rrRdKMMWLYU7OXk/By/VkAgVOwCXnNOfmHiRMz/Dx8aHg4GCSrgucngMLXLEiw0S5kmefk7Nbfumx59Ona49aPXjwgPDp0h63aNFnmm3x22+/mS0DivfevXsU88Fo5rFjx0iaOmCPrMZpN2/erKowIy6U6dWrVxsns/h6yZIlNCF5gonCjAxGjR5Np06dpGPHjtIPP/ygmuejR4/Ep3ylCGlpaUreej+0L+qo5qQpIfKvNfK4UJIxZSQjYzndunVLHqQ/h3yLF6cTFB522gQwynz//m8mCjNS4aUqLjaOtmzZop2JG4eae16hr1nzvMLUPenLiRK2H3/8UT8VTCmc/ZgAE7CPgEuONOPzMBTl3NzDYnoGRp2jo2MoKiraYhpVqnhZHJcjMgEm8JhAXl7+/N/HPo/P+kdE0N59ex578JnbE+jYIYDS0tMV63nz5k3y82tFeNFk55kEtJ4XnkmEa+3KBFxyIeD27duEkgzwWAjo41Oftm3bZpXSXNRuZHNKPOZbHjhwUPOztCt3REtl79atq5iDqhUfn4nt+bSuNbVAKjchIZEGDhwkXZocR40aSevWaU+/eOONxrRhw0aTtPZ4jBsXJ+b6a+XRo0dPmjVrtlYU1bD69esRFKGKFSsqxrnz3zsENpMnT9Ic8cY0mosXTUejhw59h3bs2KGYt+SJaVlTpkyVLg2OGL3v1aungZ/xReXK+S/M166pK/9IM3LkKPFnnJ6vHxMAb62vAzdu3KBatV6lzZs9c7TZ0c+rRo1eo19//eVxAxid4XciM3MV8YJWIzB8yQQcRMDlpmesXJkpRpeDgoL1CDBF4/TpU+JP7+liJ9WrV9eUuHTp0h6vMAMQFtFhTrCaw3xUe+dPYn6mlsMPU0BAgFYUi+ZU169fXzMPWwL9/f3Fgja1tJbIrpYW/rjvVq1aqRjl5MmTdOnSRfEyIVnVUIxIpPqj3q5de7Pyo45aDnXUcrDi8cILz2tFEX2sTp06mnE4kMSis927s+nSpUuKODZv2kS1atVSDPMET3PPKzzLrHleNWzYUBMb7jtHWcjRLIgDmYCHEnA5pRkjynCYkoHRWfxhugacFCYuXOzf5MnKI2eoBh6sH38808Vq5BxxYa5MbZQTnLBa394fjb59+4kFY0o1QBl4STNn2m7QIPVRaClfS+JIcS09wsRXtWrVVKMjzB4zYDExMWK+79q1awzKgNLUt29fYXkCARilBSslh8WIaiPFUCBefPGfSsmEHxY6acmPEbZSpUqppsdLFczewYwjztUcZNcqRy2dp/nDtNyYMWMpduxYE8UZfWTd+rX07rvvehoWfX3NPa+wINia5xXMauIrjZJDnx00aLBFL+xK6dmPCTAB8wTUfzXMpy3wGFj8h7nMMDGH6RXyP4yAYdqGqzr82C9alEawzAClAg4PQTwgk5KS+Qdc1rAwv4dRQGOlDHZhFy1SnlspS272FIrAunXrxUp0pTLmzp1vNg8o1TCPZpweCeGHMHOKt9lCVCJs2LCJMPVDPuKK8/zpIJtUUlnmDZlXrVpN8+bNozZt/GnQwIHUo3t36tq1M2FKCqxOwEEpff/9MaIvSwwgA/o3TPZp1T0rK1tVfpiMM+cQR7qH5HEhB8zdQZGBQoxzNcU5IyNTnpTPNQgMH/4u+fn7UZs2fjRw4EDRJ9q2bUOw9IC+otXWGtm6TRCeV3jZk+4DqWK2PK/AEmblYAVG6uPSfQ476fhtZMcEmIDzCLjUQkDYZk5NXSAWAGIus9xBmQ4LC6WFCz8Rn5DlYa52LreqgFEI3thEuQWxch/WEuC0Nq9QTm2Zr71loC1hL/js2TOiQEzDiYsbVyAvQbD+IG3a4Qw+lvRTtA8YSs6auZb2yI+0mN8NGWFxA18noNwZb6wCxQ6bcmCeNl5Q69dvQBMmTLRq9E+qm6cf5W2NZ5Y1I6iewM7eZ4kxI3l+/DthTIevmYBzCLiU0ozNEmBmTs1YPqZsYFEgFGd2TIAJMAEmwASYABNgAkzAUQRcSml2VKU5HybABJgAE2ACTIAJMAEmYA0Bl5rTbE3FOC4TYAJMgAkwASbABJgAE3AUAVaaHUWS82ECTIAJMAEmwASYABNwWwKsNLtt03LFmAATYAJMgAkwASbABBxFgJVmR5HkfJgAE2ACTIAJMAEmwATcloD21llFsNo+PnXFjoBy0WB+Ljo6xqpttOXp+ZwJMAEmwASYABNgAkyACWgRcMmR5qioaIONTWCCbsqUyQQ7zq7sYOd07NgxVL9+PbHTIY6wNSvZInblujla9g0b1lNISLB+V8iQkCBhk9eR5SxduoRat/bVl9G3bx+byoA91fT0NPEnt1nsSFmN88rOziIwkXbNxPmePTnG0Wy6Rn+EbePWrVvp84+OjiLYRpY7XMNfkgHxkc6S/gxZjdsXdbLGoXzsSjd79izNdoMtZ8RBXOM6WFOeJ8dFvzZsa1/R1p7MRF53Rz+vlO6/gnq2yOvF50zA4wjoXMzVq1dHN3nyJBOpQ0N764YOHWLi7yoed+7c0QUHB+pGjRypu3jxohD7xo0b4trHp67uypU8V6mK0+WcNGmSzt/fT5d78KAo6+7du7qsnTt1Pj4+uvXr1zmk/NjYsbru3boZlLFmzWod2sLSMtCmYWGhQq6kxEQd/iBjeHiYDmHOcpAP5YCJ5CQ+KSmzJS+bjlI/jYyMNOin6elpgs2ZM2dEvjiCFfzRj+HQr5EO/Vyr/klJSaryW8oefcTbu7K4f2bPniX6S6tWLXWSfJAH58HBQSIMcXDvQWakZWc5AXlb416EO3HihLh/QkN7WZ6Rm8bEs8SRz6ugoDcFWzCGA3Pj+89NUXK1mEChE6BCl8BKAbSUZjycXNWNGfO++NFWkh/KFpQvdjrd4cOHhUIlKWJyJlDKoCjZ+4KRlbVT/MhJCoC8DPxQQbHSUvqk+FCO0XbyfHAOPyiOznCoOxhIL17yMuAH2e3hM3fuHKH4yvOVzvFSIdULR1wrOSjOyEfJQTbIqCa/Je07ceIEoVQY9xHppQdloP1QDpQNuUP74GWJFWc5Fe3zVq18FdtaYmnpi452Ka4ZKj2vwMLY2fK8WrJkseifSvmhf6Mt2DEBJuA8Am6hNGdmrtAFBr6pu337tvNIOTln/IAb/8hLReIBCWXBEkVNSuOuRygzGBVUcxgtTEtbpBZskX9U1FBFJUBKDKVKTSGU4kiKt3RtfGzTxt9sHsZpLLmGMgqlXM2BnZrCqpZG7o/RWmmEX+4vnaMfb9myWSikkp/xEemRj5KDbFrti7ppyS+9NKjdS0iPF1Tkgb6i5HC/oR72vFwo5euOflAKMYqq5tDWffqEqwW7vT8GcrT6s7XPK7DUuv/QFmgTdkyACTiHgMstBMT8GcxdNp6/XKVKFcrLuyy20bZkjg3mWRY1V7FiRUWRypQpQ7Vr16F69eoohnuSZ/nyz9PSpctUq1y3Xl1auXIlJSUlqsYxF1CzZi0aMmSoarTAoEAaPXqU+FOL5O3tTQMHDlILpj59+tD8+fM181BNrBEA2cPCwlRjVK5cmWbMmC7+VCOZCWjp66sao0njphQTE00dOwSoxkH6n376Scx1No6E9h0/fryxt/7ay9tLtC/qoOZQttq91LlLF8H80KFcmj5thmIWuN86tO9ILVo0VwxnT0MCWm394j//Sfv3f6HY1oa5uOeVM55XH388UxVW9WrVqVevnqrhhRGQl3e1MIrlMpmAUwi4pNKMhYDjxj3+Yc3Ly6OoqKHiLzf3sEWgitqNDCX+3r17hB9sJfftt+fozJlz9OyzzyoFe4wfFkZeuHCeGjRooFjnq1euUkhICL333h7FcEs8hw2LoRs//6xaxtkzZ2nmzFnUs+fbqtktTNVelFq5UmWqW7cu7d9/QDUPWwIWLJivudDu2rVrFBHRn2JihtmSvVj8d+nSJapevbpi+h9+/IESEhIpMzNTMRyeSP/SSy/TgQMHTeJAfsio5rCIsHPnzjR8+LuKUbCoLz0tTTFM8qxUqZI4LVO2rORlcvSu4k0jR44SfyaB7KEnAN5aLzC4j/z929Dy5Rn6NJ504ujnFRbHXvz+e9WXwv/7z//R6tVrqXlzfuHzpH7GdS04Ai5pPcMYD0aZw8PDCcrz6dOnjINd4jo4OITWrFmtKCtW9fv5+Xu8wgw4jRo1otTUVPGCYQzr5s2btG79WurevbtxkFXXbdu2pUWLFimmgcK3dt0asz9KpZ4pRVCu1dxXX31FTZo0UQu22b9Ro9dp8eIlinzwUgaLIIhjq2vWrBmlLligmPxQbi49fPhQjLDjiGslh/TIR8lBNsgIWY0d/BYvTqe2bdsZB+mv8VIJxV3NQYlDHCjO//rX12rRaPPmzdSsGSseqoD+FwDl7OLF7+nkyZOKUZcsWUKNGzdWDPMET0c/rzp27EhgquTQBmgLVpiV6LAfE3AQAefM+nBermoLATGvGfN+L1++7LzCnZiztAAKC5PkizykxUvyVf9OFMMlssaKfMwrls9blVbrO2oBV1BQviUT4zIaNPDRWWKBQlpoJrdgIcHNt2ThvDmzkuUP+WI61APM7F0si3rVq1fXZIGjZJ0Dc7nhcnJ2m1jAQL/GnGKk15qfL8kvZ4+6WCq/tABT4i0dkQesimDOp7RAS85Iipe/oEp5zrUUh4+PCUjWWuRzbaW2Nmcp5XEu7nuGRdyOel7hvgFT3Efy3wmwd6T1IPdtDa4ZE7CPgFssBISijIWArmxyDs0IxRgLPaD8D+jfXyxGMjaTZV9zu0dq/HDAQgI4de3aRefv31qwskSZtZQAyoDyZlwGVq9b6qBAYkEZfuCg1OMPi4KQp7MtCmChG8oGH/zhXGsBnaV1Qjy84EERMO6nksIs5YVr9F+Ujf6M+EhnyQI7e+THfQQrAlhkBWUC3PNNcvkYWMWQlD2EIQ7iIg3k5ZdUqRUtO+IlCcxxL0ptHRcXq/lyZFnOrh/L0c8r5Ae20v0H5mCPNmDHBJiAcwkUQ/YOGrQukGyUdgREwWFh4YRNTtzBYYOFK1eukre3F3l5ebtDlZxWB8yphHPWJ0nMocWmAfikjznI1jq0JRb8Xb9+XSTFtIBhw4YVWLs6k4+lbMAPccHP2jn5tsqP8pYtW0pHjx6lYsWKibUCffv2M+knyH/Lls36edSYSoA539bKaW2/cNf49rS1uzKR18vW/izPQzq39P6T4vORCTAB+wm4nNJsf5U5BybABJgAE2ACTIAJMAEmYB0Bt1gIaF2VOTYTYAJMgAkwASbABJgAE7COACvN1vHi2EyACTABJsAEmAATYAIeSICVZg9sdK4yE2ACTIAJMAEmwASYgHUEWGm2jhfHZgJMgAkwASbABJgAE/BAAqw0e2Cjc5WZABNgAkyACTABJsAErCPgkkrz9u3bKCwslLD1NP5ghm7hQu1ti63DUrixYUoIpolgroydNgFwgpkrZ7qCKMNZ8oONs/hY2k/Rj8EQ8a11rsze2rq6Q3yprd2hLs6ogyP7s6X3nzPqwXkyAU8l4HIm56AcT5kymcaNG09RUdGi3aBEw69Klaq0cuUql21LKDfvvTecLly4IOzE4qFYvXp1mj8/1SYbwS4LwgLBExMTKCNjOT3xRP57H8yNjxw5imJihlmQ2nwUsE9OThJbm5cuXVpsD/3UU09RbGwc9esXYT4DWQxsg44fSzjYk+7Z821ZqHNOwWfFigxhoxglgE+fPn0pMTHJ7gLBJi4ulrZt20pvvNFYbN373HPP0bRpMwzsIKPO77wziO7fv08lS5YUR8RfunSZWTvISvIPHDhI3PeWVgDlwwbzn3/+Ke4j2Gk2tr+MuqAfYXt0yOjv708BAZ0sLYLj/Y/Anj05lJSUSLdv36YaNV6hr78+RuHhfUR7GTP3RGjvvz+aNm7c4JDnFfosfu8yM1cY3H8ffPAh911P7Fxc54Il4Ny9Uxyb++3bt3XYRhtbZhu7gwcPiB2SlMKM4xbFa+ySVq3aS6IO2OlJ/gd/3qHscasNGNBf99JLVQwYgVfVqt660aNHPY5ox1nz5s1M8kcZKHf+/HkW5Yw2Q3+Vy4pz+DmzPdX4oGyE2eOwGxl2+TPexjd/u3cfnbQrII7yesv7c/369TR3irNXfsgYENBB9/LLVQ3asHr1l3XLli3VVx9tAD+5bEjTrl0bTfn0GfCJICDtrCjfMh5bPGN3Rd5GW6d7++0eiveCLc8r9G0wBVv5NtrSNva8KyDflEzAuQRcaqQZo8ypqQvo9Gnlz/G5uQfJ17dVwb51OKi0bt26itEZteww4rxv3361YI/xz87OoqiooWLkV6nSJUqUoAMHDtq1497y5csoPv4jevTokVIRwu/w4S/NlqG2eyUyKFu2LH355VcmI5+qBVoYgK8VISFBqnwwMr9q1WqDEWELsxbRxo4dQ38//JtmzpplkuxQbi6NGz9O8K9btzbdvXvXJI7kERgYSJ988pl0qT9idDg0tJcqe7Tv1q3bNb+89OrVUz+yr89YdrJzZzaVK/cs+fm1pr/++ksW8vi0Tp06lJW167EHn6kSqF+/HmVkZFKDBg1M4gwaOJAaNGxAw4e/axLmCR74yhQbO1b1frT2eTVv3lw6eeIkpaWnm+A7efIk9e0bTqdOnTEJYw8mwAQcQ8Cl5jSfOnWKfHzqq9bcVRVmVAifM7UcPh/js5ynO0w5ePjwoSoGhGVkZKiGWxKwadMmVaVNSi9Nt5CujY/4sbx3756xt/76999/p02bNuqvHXWCcrX44EUAUxZsdUeOHKHomBjF5C19fSlfqd1Cf/zxh2IcyfPgwYPSqcERsmm9rKBuqKOaw5zaY8e076WZMz+m6dOnqSrMyPv8+fNOmwuuJrsr+uM+wHQMJYUZ9RkwYIDZ9nDFelsqM/qz1v1o7fMKfRtMlRzaAG1h7tmklJb9mAATsIyAS400Y4QRbuHCTyyrnUYsLCBkxwSYgPUE8vKuqibCyOKu3dmq4RzgfgQ6dghQHPlETW/evEmNG7/ufpUuxBodO/YvqlixoqIERfH+03peKFaCPZlAESZQogjLpijanTt3FP2t9SxqN3KNGtXowYMHmtU4c+acwz/naxZYBAMjIwdQTs5uTcmwWM+eBYHmpsoUL16cpk+fobmgb9SokbRu3VpNOf38/MRnbc1IVgZiAd3ixaafbuXZREYOtHlBYOvWvoRpGBhVVnJHj31FCxak0nvvvas5wlauXDnFaVbjxsWJBU5KeUt+WvJjlA3TM7Rc5cpeVKJEcbp8+bJWNEpISCQsPmSnTgC8x48fpxrh4vffk5+fP2VkrFCN484BljyvrOln/fr1JTBVU5ov/XCJVq9ea/P0K3duC64bE3AEAZeanlG/fn06ffqUar2xon/lykzV8KIcAKsKWg5zLHkVOtHgwe8QlFYt17lzZ61gs2GhoaFimoFaRMwLNmdhAe2JqQparlkz7TbXSqsWNmjQIM1yIZM91juQdvGSJYrFY9oErGiEhLwl5mwrRiIS8nXv3kMxGBY+zHFDHdUc7hFz6WvXrk2vvFJTLQvh/+STT5Iz2kezUBcMRD//+++/FafMYHrS7NmzqV27di5YM8eIbMnzKiAgwOLC2rZtK5gqTf3C/Ye2MPdbYnFhHJEJMAETAi6lNIeFhYsKKCnGUKbh76iRaBNSTvZYsGAhVapUSbEUmDpLS9MePVRM6Iae+EFo06at3nSTvIpQpidOnGR2gZ48jdI5FEN//zaKyjnKwMiQuRcYKNWlSpVSyl74oU1hAs3RzsvLW/XFAsp+t27dNRfRmZMnIqI/3bp1g/AZGPPs4fADjtHtCROSaeHCT4XfypWfExRPJVehQgUaNWq0UpCQDTJKpgTlkcAeZiZRRzVXt25dqllTXSGGQj169PuUnJysloXwf/nll+3ipJm5mwVOmzadRo8eJfqApMxhUVr/iAj6488/qH9/5Tm4boZBsTqOfl6BpWAaEWFy/6EN0BbsmAATcCIB5xrncHzuqakLhIkoHCW3bdtWXcuWzXWhob0lL5c8wpwQzG3JzWD16ROmgzk6doYEYDoMptskc2FNmzbWmzszjGn71eTJk0zKOHz4sMUZKpk0g7xoX2eanIOAGzZs0L3xRiM9H7CCnyMc+uncuXN0bmkq2QAAIABJREFUPj519flHRQ01qRPq2LVrF30c1DshId4ic27G7Yu6WCo/5IPJQJj0kvqHdJSbnMO5sZlHpEFfQh7sLCeAto6JidbzRt9AH2GO+QyN+7M9zyul+w/snf1Msbw3cEwm4L4EXGohoPTugM1MMjMzCSbm4DA/Mjo6Rr/ZiRSPj0ygsAlIm2ccOfIl3b//m/hUrbTJRmHL6Y7l43M1Nt346aefxFQLTOswHqWGtY3Vq1fToUOHqHTpZ+ittzrbNX3FHTlynZgAE2ACTCCfgEsqzdx4TIAJMAEmwASYABNgAkygIAm41JzmggTDZTEBJsAEmAATYAJMgAkwAYkAK80SCT4yASbABJgAE2ACTIAJMAEVAqw0q4BhbybABJgAE2ACTIAJMAEmIBFgpVkiwUcmwASYABNgAkyACTABJqBCgJVmFTDszQSYABNgAkyACTABJsAEJALaW5ZJsYrIceHCVJoyZbKJND4+9Sk6OpqCgoJNwlzRA1vTSo53d5JImB5hLuzKlasiwNvby8ScmGkK633Onj1LMBsHh40zzG1qYn0JzkvhbD6WsAE7xIMDOzC01Dlbfkvl4HiWEbCnrS0rwbVjObo/W3L/uTYxlp4JFD0CLqU0S/hOnz4rbDNL11Cmo6KG0tSp00jaNVAKc6UjlOVBgyLp999/p4cPH4od1YoVK0YzZsykrl27ulJVnCorfpzR3tgFsknjpqKsXbuzaejQaBo/frxDykYZ0dFRdOrUaWrSuDHpiGj37mwaMmQoffDBhxaXgR/KjRs30pEjR0QabIceERHhFAVfEgqyT548SeyQ2bFD/ha9R499Rb6+rcQ9Yq/ijx/rqKghVKLEk1Tt5Wp0+/ZtuvD9eUpMTBI7DkpybNiwnhITE6jmK7XE9to//PgDPXz4l9g1UEt5hvxxcbHCDru8fXFvjx//gUUvLsgD5e/evVuIU7duPWrTpo3JFsNon+XLM+js2TMiXocOHUQd7GUkMfCU45w5KZSenmbQ1rB7PXXqdKtelNyRF/qiI59XuP/i4sYKu+/y+2/gwEH03nsj3BEh14kJFB0CrrRvi7Qb4O3bt03Exu5t2BXQVR12c5J2LTM+vvRSFYfvdueqnCB3cHCgLikxUXf37l19NW7cuKHr3q2bLjZ2rN7P1hPsuKVVxqRJkyzKGm2KndEga+7Bg+IP5/Bz5u5dYWGhgoWcD85HjRypCw8Ps0h2tUjYnRLyr1mz2iDKiRMndD4+Prr169cJfxxxDX+5Qzqk19rlEjJCVmP50b6omzkntV9kZKQua+dOIcPs2bNEuZJ8yAPnuNcQBjkRd2BkpK5Vq5ZObR9z8rtaeErKbF2DBj66ixcvGoienp4mmHv6roBazxJrn1dgifsHbOUO7NEGaAt2TIAJOI8AOS9rx+espTRfvnxZ/ABiS21XdP7+rVWVZvywYxtkdjqhrLVp46+IAkoWFDV7FdIlSxbroHApOSjn5pQ+pJN+3KCIGTv4IQ9nKBPY5tvf389A4ZTKBx+EZWWZyiTFMXeMi4sVSqZSvHzFua4IQv2MFWYpDZRU5KPkIJs5+c1tZQ6lGy8nxg6KBfoH0ksvNMaKHtIgbVBQoHFyvlYgIPVzJY6IjpefiRMnKKT0DC+8mOFlT8nlP6+se4EeM+Z9wVQpv/z+7ZznilJ57McEPJGA2ywErFKlipiykZeXV3SG8a2Q5NKlS5qx79+/T/iU7Olu3759FBUVpYihTJkyFBk5gPbu3aMYbqlnTk4ORQ4YoBi9YsWK1KN7T8rOzlYMlzwxNQBTCwI6dZK89Ef4dWjfUUwf0Hs66OT48X9R3759CSyMHfwQ9s033xgHWXyNLexDQ8MU4zdo0ICqV68hPtPjiGslFxLyFiEfJQfZtOTv3LkzoY5qDp+uMaVm1OjRJlGqV69OI0a8R5mZKygjYzmNGDGS4Gfs4hMSCPebfG2BcRy+zicA3ph+o8QRMfpFRNDRo0c9FheeJb1691Ksf/7zaiDl5ORPIVKMZOR5/vx5wdTIW1yiDdAWaBN2TIAJOIeAS85p1kKB+ZWWuCpVvCyJVmTiYI5zixbNi4w8hSVI+fLPU3hYuGrxmIu6cuVKmjFjumoccwEvv1yNypQtqxrNy9tLzNVNSkpUjVOzZi0KC1NWLpGoWfNmlJIym+LjP1LNw5YAc+WWLVtWKLWpqQtsyV6kwYuDmiv//8oTuEhzqZXi4ccd96nSPfjiiy/ShOSJSsmEn9S+06ZNVY2DspVeGpDg9dffEP0D52rKP8KgnPfq1VO1DA54TECrrdGe589/p9jWj3Nw3zM8r7AOQs1J/XnmzI/Vohj4P/PMMwSmau65554rcv02Ly9/sbaazOzPBFyJgNspzXhoWOKK2o1co0Y1evDggaboRU1mTWGdFDh58mQ69vUxaunrq1jC4UOHaciQIdSz59uK4ZZ4YhHav/71tepI6Y7tO2jRojQKCDAdRZbyX5iaKp0qHu/evUsYcY2LG6cYbqvn0qVLKO+y+teWb899S717h9Lw4e/aVERISDAdys1V5H/v3j3CgsP16zfQwIGRhGsl5RXpGzRoSFu3mo42z5s3l7766ivFEXoIfPXKVerTpw/176/8JQCjw+lpaZp1q1SpkmY4Av9757+UkJBIWFzFTp0ARjWHDx+mGuHEN99Q48ZNKCNjhWocdw7A82rfvr2qzxJrn1d9+/YhMFX6ggWOWGy7c2e2xy++dOc+xXUrXAJuMz0D0zLu3LlDPj4+hUvUxtL79OlLJUqov8P4+fnZmLN7JevXry8tXpxOStNZsrOyhNKmpcxaQqNz5y6UkjJHtYxbv9zSVJhRxvMvPE8rVqgrClC81T5pWyKjWpz27dvTuvVr6eTJkyZRwCwtfZFdllgGDBhAs2fPFgqxcQGzZs6k+vUbCCUJR1wbOyjSSI98lBysxEBGpfZFnVA31FHNwfQgLKncvHlTMcrmTZsISnOtWrUI50oOMqKcZs34y44SH7kfrKDASgbuSWMHjlOnTbWrvxnn6WrXjn5e4f4AU7A1dmgDtIWWZRrjNHzNBJiAlQRcaSK31kJAV7eegQU1TZs21sFShrH1DPg7Y9GYK7W9XFbJMgNWkGPxC/5wDm45ObvlUW0+xyp0LBrDoj0s/sOiNmstX0ir5o2FQD4Ic5bL55O/wl7OB4vzEGavw4p/LMYEG+QPNljwVa/eY6sYkpUN+CMcDBEf6cxZDFCTH+1rifywboLFV3LrG6iztAATskkL2IytgCAN0g4d+o69mDwmvbSo0ritsaDTXFt7AqT8/uwjnlHy+9HW5xWYigW9smcT2OP+tncRtCe0B9eRCdhDoBgSW6lnF1p0aXMTJTvN2PTE1e00A+yCBfPp889X0eXLl6lq1arUrl17GjVqtEW2aQutYQqhYHyGx4KuU6dOidJbtGhBffv2c+goi1TGgQP7CfOca9euTcOGDbPYxjLss4aFhYpFZZgjC7d582YqXbo0rVy5yqltis/m6EtnzuTbH65fvz6Fh/cxsVNsa9NhoSPsT588eYKqVn2JmjVrJqZ8yO0bo/6YbgEb1Zcv/ySmZGCkrFu37maLldhL7VuvXj2KiRlmcftiis2OHdvFok3MQcfIPmxJr1q1Wp8HGMF+boUXKlBgUKCY+rFu/Xpq2bI5TZs2w6ntYxaAi0VAW0+cOIGwUO3HH3+wqq1drKo2iWvcn+19XsnvPzyb8OXkww8/4j5rU+twIiZgOQGXVJqNq4dNG8LDw91mR0Dj+vG1axPIzs6ic+fOiUpgcxN7p4+4No2Ckx5K8a5d+VZOvLy8BHe5Ui9JIm+fjh0D9Eq1FM5HJsAEmAATYAIg4FJKMzcZE2ACTIAJMAEmwASYABMoDAJusxCwMOBxmUyACTABJsAEmAATYAKeQYCVZs9oZ64lE2ACTIAJMAEmwASYgB0EWGm2Ax4nZQJMgAkwASbABJgAE/AMAqw0e0Y7cy2ZABNgAkyACTABJsAE7CDASrMd8DgpE2ACTIAJMAEmwASYgGcQUN+CrojWPygokE6fzrfNqySisQ1npThF2Q/2TteuXUO//fYbPfPMMxQQEGCxXeCiXC9nyAZTYd999x09evSInGUqrCDKcAYb5CnJjvNXX33Voabu0E+R//Xr18VW2Wr99OrVK5SdnS12MMNOfDC3p2T2TYmBM+VXKo/97CMgmfjDzqYvvviiVW1tX8mukVrqz454Xkn3H5iXK1fOac8/1yDLUjKBgiPgkiPNQUHBlJd3VfEPDxBXdTBY7+vbgs6dPSc2wLh29Rq1aNGc5sxJcdUqOUVu/FCEhATT1KlTqWzZslSsWDEaNiyG+vQJJ/yYOMKhjNatW9GizxbpywgPD6Xw8DCrysCmBtHRUSIv5Ac54edMBwbBwUGCD/Yuwh9Ywc8RfKR+mp2VLdignwYGvkmTJ082qBau4Y9wtBPio38jvZaDom2v/MgDG5x07vwW1a9fj/r27aNYLhQZtAnioH2QBmnZWUcA3EJDe9Hd/94Vz67Vn68Wbe3svm6dlIUTW3peTZs2Tf8ssed5hT7bqFFDGjt2jNi+fPbsWRQSEkSRkcpb0xdOrblUJuCmBOzZTrAw0gYGvqkbOnRIYRTt1DKzsnaKbZuxzarc4bpBAx/dkiWL5d4ee47tj1u18hVbWsshYPtjbE8dHh4m97bpXGuL5YGRkbqoqKEW5au2HbSjtrNWE8KZ23djm15s/5t78KBB8dgmG9tPz507R/jjiGv4yx3SIb3Wdr/2yi9t64z+IN/C23hbZ2xHjHvLnq3S5XXz1HNLti33VDbS82r27FkGCGx9XmEL+GrVXhL3EO4j+d9LL1XRDR8eY1AOXzABJuBYAhiFcinnrkozFAX8eCs5/PBDUWSnEy8PkZGRqiigGOEFxB4HhW/UyJGKWeDHzsfHR1PpQ0L8uEE5RtsZO7wI4ccOcRzt1qxZrWvTxl81WyiyiGOri4mJ1qWnpykml+p19eoVUT/jF0ApEdIjHyUH2bTaF3UzJ3+rVi0V46DtpP5x+PBh0Y7GSj1kQv58vym1jqkf+jD6shJHxEZb4+XEUx0GO/CireTk/VEpXMlvwID+BoqyXGmWzp3xXFGShf2YgCcScMnpGe446H/y5EkK6NRJsWoNGjSg27f/Q/jM5+nu6NGj9HbPnqoYOnfuTBcuXFANtyQAZXTr1k0xapkyZahH9+767ZkVIxFRTk4O9ejek9B2xq569eo0aOBg2rhxo3GQ3de//vIr9enTRzWfwKBAunTpkmq4uYADB/arblePer3xRmPKysoSR1wrOUyvQj5KDrK1bNlCKUj4oW6oo5rDdIDixUtQz55vm0RB28XFxtHWrVspI2M5ffTRh1SxYkWTeEj7/PPPiznbJoHsYUDgypWr1LFDgCJHRHz99Tfo8OHDBmk86QLPkp4qzyv0R2ufV199dcQsPrQJOybABJxDwOUWAgLD9u3bqEoVLxMiUVHRNG7ceBN/JQ+l9Erxiopf6dJl6M03A4qKOIUmR/nyz1N4WLhq+Vhklp6eRjNmTFeNYy7g5ZerUZmyZVWjPVvuWZo1ayZhLqGaq1mzFoWFhakFU9OmTemj+A/tklMpc3PlYm4x+KSmLlBKbpFf6dKlVeM9W/ZZSkpKpLZt2qnGQfrbt28r3sNYQDZmzFjVtAhYv2E9TZlqOH9angBKnJp78Z//FItHET5kyFC1aNS6dWsaPHiQajgHPCagxRuK4d27dxXb+nEO7ntWEM8rY3q9eqkPKhjHLYhrrD9ixwTchYDFSnNU1FChrJqruGS9YuHCVPHDfOfOHZHE17cVhYeHq45SmctXHo6RqoULP5F7WX1e1G7k1q19CaPNSiOTN2/epPv374mFj1ZX1M0SzJs3l/bs2UMtfX0Va7Zj+w4aMWKk4kijYgIFTyxq2rdvr2JbIPrmzZtp0aI0TWsUCxbM11x0d+36NerWrTvFxY1TkMB2r6VLl1DuwVyKjByomAkW4w0e/A7172/boiEsqDuUm6v4VeTevXu0d98eWr9+A3Xv3k1YzIDSZOyQ3s/PnzIyVhgHEeQ/8uUR1fY7fOgwhYaG0sCBygotRprT0tJM8pV7wIoHFkfeu3tX7m1wfiXvCs2cOUtVDoPIHnyBr19oD7S9UlsfP/4vatmyJc2fb/tLmivjdfTz6q23gunEiROqSGC5ZOvW7VS3bl3VOBzABJiAHQRsnZOCxXiYQ3X79m2TLDCHrV69OrrMzBX6sNDQ3iL+wYMH9H62nLjrnOaUlNli4RTmuckdrjEPdeLECXJvjz2X5gorzf+W5qJi8Y09TpqnqTQnFwt6goODzGaPObOYP2vcnkhoy1xGswX+L4K0iFGJD/wwz9oePjk5u8XiOSU2mAceFxcrJMFRaV440mFOuNq8c3vlR3o8l5Tkg2CQCffSsmVLVeeaYn4u8uC5oZb1Oiy+xaJLYye1Ne4FT3WWPK+sYQOWWPAnzV82PgYEdLAmO47LBJiAlQSKJyYmJtqic2OKxPffX6Do6Bh6+umn9VlgZDk6eih1796DRo4cpffH9eLF6YTw4OBgvb+1JytXZgq7lPbkYW2ZBRG/WbNmdPyb4zR+/DgqX748PXz4kA4ePECjRo2k554rR3PmzC0IMYp8Gc8+W07Mn/zgg/H0y61fCCMrV/LyaE5KCi1ZupiWLFlG3t7edtUDZVStWlVvQuu5f/yDTp44QVOnTKHcQ7mUkjKHKlSooFkGZNi9exetX7eOAoOC6KmnnhLxMSKXEB9PTxR/gsaOjdXMw5bAkiVLUuvWfjRk6DsGfJYuWUJz5qbQqlWr7eJTrVo1+r//+w999NFH9Oeff1CpUs8INnGxsXTrl5s0e/YcggxNmjShRYs+pQ3rN4j79f79+/T556soLi6OevfuTQMGKI902ys/0qNPpC1Ko9ffeIP+3//7f3qMyUlJtG37Vvr008/o1Vdr0/KMZXTx+4sintQ++KoTEx1NwSEhFBwcok/LJ+oE2rfvQPPm4wvQXnq6ZEl63NZjCT8vHTt2VE/s5iGWPK/MPUvkiPBcQZ8+cOCAsE8vhUm2sbds2SbuP8mfj0yACTiWQDEo2bZkKU3XkKZjWJKHj09dqlKlKm3fvsOS6IpxsLlJlSpV7J6eoZh5EfDE5+UtWzZTXl6eUDbatGnDn4gV2gW2dJctW0bnzp0Todhco0uXrhZvnKGQpYkXyli+PIPOnj0jwjp06CCmVFi6OQdsIk+ePInwoifN+zx67CvCVKWpU6c5VFZj4VH2pk0bxcYiCKtTpw5FREQ4bKMc9NPNmzfRlStXRD9t3769YGMsB2wyY1EkXpbxg9+5cxdq3ry5cTSTa3vbF7bNMXe75iu16LnnnqOjx45R/fo+Ys2D9OkaZUCJP3XqNDVp3JjwINy9O1vMqR4+/F0TmdhDm4Ctba2dq3uE2tufjSng/lu06DO6fv0aPfNMaerSpQv16xdhHI2vmQATcDCBAlOaoQRiY4OwsHChMNhaD3M7AmKuM+Y8s2MCRYUAfjClFe3e3l4OU1yLSv2Kqhx4cZAszuBFR1KWjeVFHGnTF8Sx9KXIOB++ZgJMgAkwAfcmYPFCQHsxSKv1sRjQHmfPKLU95XJaJmArAS8vb1aUbYVnRzoov5aMaqsp03YUzUmZABNgAkzADQkUiJ1mWNLAJ2qYg/Pxqe+GGLlKTIAJMAEmwASYABNgAu5MwOlKMxYMTpkymWBDGX/smAATYAJMgAkwASbABJiAqxFwqtKMEWYsGLRm0xFXA8jyMgEmwASYABNgAkyACbg/AafMacZKeSjLubkHxZQMHmF2/47ENWQCTIAJMAEmwASYgDsTcIrSHBYWSqdPn2KF2Z17DteNCTABJsAEmAATYAIeRMDhSjPmMENhhsNcZvzJXbly5Qi2nW11yB+j2GrOGrvRankUpj/sb+7bt0/YBq5btx7BTrMlFgAKU+bCKBsmwmAX9ujRo8JOcOPGjQmbLDjSXBhMxe3du5eOHDkiymjUqJHL2MyW80H7YLMRbNvtKD5gg+2qjxz5kl566SXq2rWb4rbi2dlZtHHjBvrpp5+oWbPmNGjQIIssiThb/sLos+5e5tq1a+j48ePCxjw2a+ratatFbe3uXFA/eX/Gb6C9zyvcfxs3bhTPJuxb4ErPJk9ob66j+xKweU4z7CHn5V0VyoQcD2wkw1/tzx6FWV4OTM8plYEHkqu6yZMn05Ahg+mZZ0pRdFS0OEZFDaG4OMfvHOeqjCA37OrC5nfe5Tzq/FZn8YOB/hAcHKi3y2tv/aCQBwa+ST/9+JO+jKysbAoJCdLb9LWkjD17cqh1a1+qUsVL/OEceTvTSXxyD+aKly4wwjmYSXaL7Sl/+fJl1Lp1K7HDJzaX2bFjh3iR7dSpo54NlARc4wUX4YiHHUGRDum1nFx+yG6L/MijTRs/PfcaNapRYmKCSbHwy990Kb99kAYvruwsJ4C2Dg4OooULF9Irr7winl3/+b//UIsWzZ3e1y2XsvBiSv3ZUc8rPD/AFozxOwHmYI82QFuwYwJMwIkErNx2u9Cjb9u2VeftXVl36tTJQpfFkQKsX79O16aNv+7GjRsG2d69e1fXvVs33dy5cwz8PfXizp07Oh+furqsnTtNEMyePUvXqlVLE39rPa5cyVMtIykxURcUFGhRlikps3U+Pj4GsuYePKhr0MBHN3HiBIvysDYS+LRq5WtQppQHmIEd4tjqsrJ26l56qYq4B3EfGv8NHx4jssbROEy6Rnrko+S02nfNmtWibubkR95SWfIjyg0I6KAvdsCA/op1Qbxly5bq4/GJNoGoqKG6USNHmkS6ePGi6G+HDx82CfMUD63+jGdJcHCQVSjAEs8UsDV2aAO0BTsmwAScR8DmkWYn6vEemXVKymyakDyBKlasaFD/MmXK0Efx8WLLVIMAD73A1tA9uvekgE6dTAiMGDGSSpR4kvCZ2B6HrbPVyohPSKD79++bHY3E51Ns44xPqHJZW/r60vr1G2n16s8dMuprXE9Mh3jllZoGZUpxIEeTxk3tGv1LSUmhv//+W8rS5Lhp0ya6du0q4ajmkB75KDmMokFGOTMpXs+eb4u6oY5abtSokYrBKPf8+fNipBt9ZO/ePYp1Qbzk5CQetVOkaOiJfo4F30nJyYYBRFS9enXCPZmZucIkzFM8tJ5X0rPEXH+WswLLESPeE2zl/jhHG6At0CbsmAATcA4Bh89pdo6Yjs8Vn8uLmoNCpeQaNGhApUuXEZ+alcI9ya98+edp/rz5qlXu06cP4QVk9OhRqnHMBXh7e1Nq6ieq0Tp37ky9evVUDUcA5ITiDcXB2MEvMnIg9ekTTv/+96/GwXZd16xZi8LCwlTzaNGyhXgBi4//SDWOvQHNmzczm8XZs2cU+zPYQ9FScy1btqBPP/3U5vaFQvzhhx+oZa/3f/DgAdWrV0d/zSfqBDp2CCC83Cs5Pz9/mjdvnmJbK8V3Nz9Lnld4QRs8eJBFVUd+I0cqP9vQBnjhxNSNouQwjZIdE3AXAi6rNAcFBZq0Aea1WrrjYFG7kc0p8U8/XZJ27swmT9/yNzw8jO7du2fS9nKPsLBwiokZJvey6rxv3z507+5dzTT44VL78ULChampVPLpkqp5VK5cmerUqUOZmStV49gSgHLNuZCQtygubpy5aIrh5vppyZIlRd5Tp06hP//8UzEPyVPpHhw3Lk4KVj1279adoqKVN0rCfGRzLzSVK+e/MGNEXMuZa2OttJ4SBt7paWma1S1btix9880JzTjuGmjJ86p371AaPvxdixBgTYA5t3r1Wl48bg4ShzMBGwm47PQMpYWAlirMNrJyajJYIMjOUv7sfPLkSfr3v//t8QozGqBDhw60du1a1bbIyMigGjVqqIZbEvDqq6/Snj17FKNCYd+8eTN17BigGC55Pvz7oebn/WvXrlGLFi2k6A47Pv/C87Rj+w7V/A4dOqw4+q2awCigYcOGRj6Gl1CUO3XqZFZhVssHVgWw4FLNoW6oo5YrXry4VjCVKFGcSpd+RjMOAr28it7XKLNCF3AEb28v2rU7W/VFdv/+L6hly5YFLFXRKc6S51XNmjUtFhgswVTJ4dmEtkCbsGMCTMA5BFxWaXYOjsLLNSEhkcaMHUuXLl0yEOLmzZs0ITmZBg607POdQWI3vIDZtKPHvlJ8wUhOSqLSpUsrmj6zBkVERAStW79WsYxZM2cSRonNjfi3bdtOWItQGhWH39KlS6hRo9etEcuiuJj3e+uXmwQWxg7WK77//oJdfMaN+4DUlFL4v/12L8JILo5a8ZCPkoPZQMgIWY0d6oS6oY5qDu2iVi7SlChRggIDg6hfvwjNeE8++aRdnNTkczd/Ly9vGjo0mvpHRJgoznjZh3WSPn36ulu1La6Po59XYAmmYCt3eKagDdAWaBN2TIAJOIdAMawxdE7WzslVstNszVQM50ji+FznzEmhmTM/pkEDB5OXt5cYqYTy0Lt3GI0fP97xBbpojjDhBFNmWPCGOa5wK1asEKOHmZmrHGKLGGWEhvbKnyP4vzIwig2lfOVKy8qAqcCL318UCzkxLx0OP3Z4CarxSg2aOnWa8HP0P8iOsks+VZIC/zeNCSO0UDgXLvzUrMJvTh6YjEtKSqS//vpLH/WJJ56g/BeFJXq/yMgBYrHdo0eP9H5QRvGCCKVVzeW37xCq8EJFA/n/fPCnYGbuhQXyJSTEKy7yq1SpEu3alSP6SLNmTej69esmYkDpTkpK1pTRJJEHe8DMGfrbt99+S5jvD1vgZ8+cpd05uygxMUnYB/dgPGLBryOfV1gsC8W5Q/uOVLdeXfE7gZdw2POfNm2GQ55/ntxeXHcmoEWAlWYtOoUQhpXP69evp6eefIrwiR+KiDkloRDELPQi8UONVee//vIrPdI9ElPT69j1AAAgAElEQVQyAgJMLWrYI6gjysCLEKxolC9fXoiCaTaDB79j8RxGe+SHhQjwgcOUBq0RWmvLQT/FNBV8GYGShLyV+ikUYMgBllgACaXK0pEwe+SH1ZL4+A+FpRPMs4bFEz8/P1qwYKFeqYBMH344Xlj6wMsQppaUKlWKJk6cLDbmsJaJp8fH/Objx/9FTxR7gko9U8qhm+m4OltHPEvkDJAflOfff/tdPP/w1Yo3wZIT4nMm4BwCrDQ7hyvnygQMCEB5hFNSLA0i8oVDCUC5v3LlqlmFAgoflH9uH4fi58yYABNgAm5FwOWUZreiz5VhAkyACTABJsAEmAATcAkCvBDQJZqJhWQCTIAJMAEmwASYABMoTAKsNBcmfS6bCTABJsAEmAATYAJMwCUIsNLsEs3EQjIBJsAEmAATYAJMgAkUJgFWmguTPpfNBJgAE2ACTIAJMAEm4BIEWGl2iWZiIZkAE2ACTIAJMAEmwAQKk0CJwizc1rKxwUlmZibl5h7UZxEUFEzR0dHkyltpozKwvbl3715h1xb7znTt2tXjNwfQN7LsBCbcsBEMNlTAtsivvfYajR0ba7ENYFlWqqcwQ7Zo0Wf6Mpo2bUbx8Ql6O7+qCRUCkBdcQdlSham1+fPn6zfvwKYew4YNcxgf2MhesGA+/fLLr/T00yWpR4+e1LdvPwM2sCULftu2baU//viTXnjheYqJGWbRTnuQPz4+Xs8eG9kkJydbLT/6CeSAKTmYlFNyCEc8NjmnRMcyPzBctmwpHT16lIoVKyZYhof3KbD+bpmUhRcL/SsjY7n+fnz11drUr19fq/uzVAM8TzIzV+h/J5o0aUIREf1V+7iUjo9MgAnYSQA7ArqSS01doPP2rqzDUXK3b9/WDR06RPgfPHhA8na5Y2zsWF2bNv66rJ07dSdOnBDH7t266YKDA3V37txxufo4S+Bly5aKtkY/kP9Vq/aS7syZMw4pFmW8/HJVg/xRVvXqL1tVRkJCvA5yvfpqTfGHc/g5061fv07n41NXl5SYKPoR+tLs2bNEXRBmrxswoL8JG7Bq2rSxvp+iv+Ja3j44Rzyk13Ja7ZuVtVMrqT5sw4YNujp1XtXVqFFNV7dubSFHnz5hevkQETLCD3KhfRAX7Yvy2VlO4MqVPF2rVi11AyMjdbkHD4o+t2bNap2Pj48OzzRPd7jn0MfS09P09yPuTdyjtjyvwBRswRj3NpiDPdoAbcGOCTAB5xFwKTvNp0+foqCgQLGVblhYuMnrAsLKlSsntjk2CSziHvPmzaX9X+ynpcuWUZkyZQykHT1qFD351JNO23bZoLAifoERyBYtmqtK+dRTT9Hx4yfsGnHBKE54eCg9fPhQsZyyZcvS2bPfKobJPbGN9L59e022c8Y2zW3atKXFix9vOS1PZ885Rvx8fVvQjOkfU0Anwx0Ss7OyaMzY92nHjp02j3Bhi+r4+I9IvjW2XN46depQVtYu6tSpI507d04epD/HltvJyRMUt6lG+/r5tTbYolufkIgsaV9HbKP9/vtjxKi4vGw+VybQp0841XylJsUnJBhEuHfvnuiL06ZNt+jrgkFiN7mQnlf79u0XO2LKqyXdj7m5hy1+XuELT2zsWEIa49+J5KQkuvD9BVqxIlNeDJ8zASbgQAIuNacZUzIw/UJJYQaT7dt3uKTCDNnXrl1LH8XHmzwIETY2NpZWruQHIVikpaXhoOqgzOGHxR6HKQVqCjPy/e2338yWAcVbSWFG+r///pv27t1D0pQNe2Q1TovpPR3adzRRmBEPSnSP7j0pJyfHOJnF16mpC1QVZmRy4cIFOnbsqDiqZYo2Qj5KbvXq1aoKM+I/ePBAfOZWSgs/vDQkJSWavKhI8a9fv06zZs0UU0tu3rwpeRsc0T7Tpk0VeRkE8IUJAUw7OHXqtInCjIhQ6qZNnU5bt241SecpHsuWLaNBAwebKMyoP+7Hxo2bmn2WyFmBJZgaK8yIg5cWtAXahB0TYALOIeBSI80YQcPc5XHjxttNo0oVL7vzcHQGeXlXVbMMCOhI336rPHKnmogDPI5AzZq1KCwsjCIjByrWfe3aNTRjxnS6ceOGYjh7MgFrCXTsEEBp6emKyfBi4ufXSrxoKkZwc8/y5Z+n+fPmU0tfX8WaLl6cTunpaXTlyhXFcGPPZ555hvbvP0gVK1Y0DhLXgwYOpF27sxXDCstT63etsGTicpmArQRcaiHgnTt3TOoZFTWUsDBQ7k6fPiumacj9jM+L2o0MJR6fM5VGECD7zz9fp8OHv7T5s7px/V31ulu3rvT118c0xYfCmJiYpBlHK7B9+7aaI6VIm5CQSAMHDlLNZtSokbRu3VrVcAS88UZj2rBho2YcawOxOE/L3b17lwb0j6So6GitaKphNWpUE6O9ahGefPJJGj/+A5o8eZLmiDGmWVy8+INJNkOHvkM7duww8Zd7YIHZlClT5V76c4ze9+rVU3+tdFK5cv4L87Vr6i+pSDdy5Cjxp5QH++UTAG+trz94OatV61XavHmLRyKLjo4Sz3W1yuPLSO/eoTR8+LtqUQz8O3d+S7zwqinNOiJavXotL8A0oMYXTMBxBFxqegbmKxu7hQs/ISjA+HPECLRx/gV17efnTzt3KisLh3Jz6bnnnvN4hRlt0aVLFypRQv1dD2EBAYZzea1twzffDNRMgjKaNVOfV43EapYa5BnXr19ffumQ8xo1alBGRoZqXitWrKDnX3heNdxcgCXWP7ReJqT81fJp1649Yc6zmgN7f39/tWDhr9U/EAHWPmDJQ8th3jnmZ7PTJgCrJLt3Z5PaVJfNmzZR7dq1tTNx49D27dvTmrXKL88YJFm6dAm1bdvOYgJgCaZK7tKlS6It0CbsmAATcA4B9V8n55RnV66+vq0oNzfXrjyKauLo6BiaMGEiQUGWu5MnT4pRQYxssiOxeKxChQqqKGrWrGn3KMvgwe8QFvspOShT/v5thAkzpXDJb9Ag9VFoxIFiZy6OlJc1R7wwlC5dmrAoCD/KksM5/PB5t2fPtyVvq49xceMJo8lKDqbGBg0aLIJwxLWSQ3rko+Qg24svvqgUJPyqVaum+VIEZbxUqVKq6aGQDxgQKczjaSnXaOfmzVuo5sMB+QTwcjhmzFiKiY42UZwxFWjd+rXC1KGn8mrfvgPdunVD3HtyBrgfR7z3HtWtW8/ss0SeDmYjwRRs5Q4vLbFjx4q2sOSFXZ6Wz5kAE7CcgEspzeHh4QQLGsbTMSyvbtGNiR/72bNnUVT0UOrRvTthrhuOffuGU2JiAmEEjl0+gV27cgjKsVx5gwKE6Q5r1qyzGxN+dJCPl5e3wag2yggJCaGUlDlmy0DaiRMnEZQvYwc/KOaI4wy3cuUqOn/hPLVo0UL8WENZxjlW1iPMHodRrC1btomXCjl/5Dl0aJT+aw+++kA5lTvEx8sI0muNhkntK2eHc4z8btigPMomLyctbbFB35DCkAdG9fr1ixAvDnj5kZchxcNxxoyZFn0tkKfx1HNMLXit0WvUuPHrBEs/KSmzqU0bf5o3bx6tWrXaaf3cFXjjWZKZuUrce23bthH3Ixi1aNGMnir5FOFLqTUOzwwwBVswBmvkB/ZoA0uneVhTJsdlAkzgMQGXWggIsRcuTKUpUyZTVFS0/gc6Ly9P+EGZhmWNqVOnPa6hi51hjtuXXx4W5rqgJGC0i0cOlBsRq8SPHMnfNATTJbQUMeUczPuijF27ssnLy0uMYFur6MKSR0JCvH5TA2wyEhs7TmxaY750+2I4mw/ms4K/FhuY3EK8q1eviiktatMylGpqj/xIO25cLJ04cUJkjaldeDYYT+HCHPBPPllI0noJjPxhAxtr5FSS3RP97GlrT+BlT39W4mPJ/aeUjv2YABOwnYDLKc2oKpTjbdu2GYw4w6pGcHCwsK5hOw5OyQSYABNgAkyACTABJsAETAm4pNJsWg32YQJMgAkwASbABJgAE2ACziPgUnOanYeBc2YCTIAJMAEmwASYABNgAuoEWGlWZ8MhTIAJMAEmwASYABNgAkxAEGClmTsCE2ACTIAJMAEmwASYABMwQ4CVZjOAOJgJMAEmwASYABNgAkyACbiU0gyrGdhuWjIPJW8+rTB5PD5nAkyACTABJsAEmAATYALWEnAppdnayrlafNhonjdvLrVu3Uq8HOA4duwYgj87QwKwfxwSEiQ44UVq2LAYYQ/YMJZ9Vxs2rKeQkGCDMmBr1Von2a/Nt1d8xdrkNsVHWWACNvjr27cPgZmjXH4/9RV5169fj8aNiyPUU+5wDX+EQ4bWrX1F/5bHUTuHrJBZkt+W9s23ef6l6Bda7YYw8CrI9lGrt6v6G7c17ps5c1JctToOl3vPnhyHPq/AVno2qd1/Dq8EZ8gEmACRzoXctm1bdd7elXW3b982kVorzCRyEfS4c+eOLjg4UDcwMlJ38eJFISGOo0aO1LVq1VKHcHb5BCZOnKDz8fHRZe3cqbt79674S09PE37r169zCKbY2LE6f38/UQYyvHHjhg5loP/l5Oy2qIz/z96ZgNd0bv9/tXRSyv3TS9tETaVEpNXGEEGiCCLGGpJIEVVJaGu4laAl1BRKgki4BDGkF0VDVUJoFWlRamyLaDXRltt7e7mhv7bo+T/fN3efnuHd5+wzSc45az1Pcs5+x/V+1rv3Xnufd4DN4uPjdP7+fsKusC2+R0VFutSeYGDKB6wQ5gw+4eHddf379dMdPHBAcACb6cnJom1nzpwRYfhEWxGOeAjSIx/yWxJn6L948SJhKzDHX2hoiDi/FP1QP75HR0eJOCUd7Iv+xaKdgGJrnB+mtsZ55O2ifr3ys+t8BFPT86/s+ucn+rS38+b2MwFXEmCn2ZV0bSj7jTf+JhxkWRY4HnC+WHS6wsJC4YwpDxaGTE6cOCHiHH3AQB0BAf7CGTcsH9/LnE8/TU4vHDI89MCxVwTfYc/w8B5KkFM/S0qKhbMo44MwOIVIY6+kpaWKG7Zhm5SycOMeMiRaHOITx6aCfLjhoxyZQDc4247oD4cZdZiWoTgW6B/4a98+WNjCUA84fcg7a9Ysw2D+boEAHuo3bdpolgK2xsOKMx7UzAp3kwBnX6/AEv1Tdv7BBrAFCxNgAq4jwE6z69jaVDIcBeUtjWlGXCDh7DjqDJqW647HcGZSUxeqqg4ndeXKFarxWiKSkhKlToCSFzctmZOgxOMzL2+XeFMtu7khHm+xrZVhWJ7W73AY4ZSrCeKQxl7p2TNc/4ZZVgb68fbtucLxlcUjDG+cUY5MtOiv5nCjPJwjOFdMHWalLvQPvPlDPXi7LBOch44+XMjK9cQwOIVwjNUED5nKg5RaGk8Od/b1CizBVE1gC8NfU9TScTgTYAL2EajsjkNU/P39HFYbYyUrmtSuXVuqUtWqValp02bUvHkzabw3BdasWYvWrMlWbbJfcz/Kycmh6dOTVdNYi2jcuAkNHhypmqxHeA+aMGG8+FNL5OvrSyNGvEywnUxiYmIoPT3dYhmyfNbCoHtUVJRqsqbNmtL8+fPEn2oiKxHtgoNVU7QKbE2jRydQ1y5hqmmQ/2TUCTFe2TRRnTp16I03JpoG6499fH2EfRcseEcfZvoFdTds2NA0WBy/NHQovfbaq3T79i2alzJfmgbn4YAXB1JQUFtpPAcaE7Bk60ZPPUVHjx6R2tq4FM88cvb1qkqVKpScPF0VVoP6Dah7d/VzTzWjCyOKiy+7sHQumgncXQJu6TSfPn2WqlevbkQKq2fEx8cZhVk6qGgnMpz4GzduqDpZX331JRUWfko+Pr6WmuXxcZhYdv78OQoICJC29XLJZYqIiKDXX98rjdcSOGRINF358UfVOs6eOUvTpiULp1itvMyMDLUoEf7E40+Qn58f7d//icV0tkYuXZpuceLo999/T0OHDqPRo8fYWrRIj0lHFy9eVHVKv/n2G8Fmw4YNquUjf7169emTTw6YpZk9ezaVlpaahSsBmNzXt29fVf0xmS9r5UolufTzySefFOFVq1WTxiPQt64vjRs3XvypJuIIMXlywTvqDzC4prVq1ZrWrl3nlbQSEuKder3C5D8wVZNr167Rxo2bqW1bfuBTY8ThTMARArx6hiP0nJi3Z88I2rRpo7TEzZs3CQfO2x1mwGnZsiVlZmZKbxy4mby3ZTN17txFylFrYL9+/WjFihXS5HD4Nr+3icLCLL/NeajKQwQHXk0OHz5MTZs2VYu2O7xly+dozZrVqnxyc3MJaeyVHj3CKWPpUmn2kydP0r/+9ZN4mMAnjmWC/EFBQbIoCg0NpXXr1qnqj7ZZ0v+RRx4hOO5qgochpMEvAMeOfa6WjMCpTRt2PFQB/S8CD37nL5xTtfXa7GwKDAy0VozHxqM/O/N61bVrVwJTmeB8gy1gExYmwARcRMC+UR3lk8vSChmW4spHW9tqVWagm45zxTHGV2LsIEsZAUyww3hUwzHgGMPqzAlcWMnEdBIfJhqiDi2rKygT2pDHVKArxv46MiHPtEzDY2V2vSEffIfucXGvGCa1+TvGDEN3jCs3HK+NccpYnUNZWQSfOFZW2EBFSI98yG9pfD50hK4y/bWsxgDbqU1CxARPjDcvm6DlLx37jHMOkwRZtBFQVjsx7OuwNcbP88o/OrFCi7OuVzhvwBRsDc+/sknQzlkdR5vVORUT8E4CPBGwAtkdjjNu+HAqYmNjdSEhHcQFkh1mYyPhxoEJNniYiB0+XNenT2/BzJEJbsY1lE0ow4RA0zosTUIzLQPOBPLDgcNNDX/4jjBXrygAxx71gA0Y4bsWZ9+0DbJj9FM8uBj302C9w6zkgeMM5xP9GP0Z6ZHP2kQlU/v27dvHJv2VB1A89CjcMXkKDrOh0w1bwrGHk6ykgzMCPa3pqLSRP8sIlDnOfka2xtKKrnowdCfu6M/odzgHnXG9AlPD8w+T/9BnXX1NcSfmrCsTcBWBe1Cwi15iO71YZdyypTHNsjinK+LiArHZAsZu4mdk/qlNHTYYKZtWgBN4OVsM67BnnCD0W7duLf3www9Ctccff5xiYl66K3Y11N0VfLChRUnJZav9VOnPvr4+No3Jd0R/5MUGLOfOnRPc0Tcw1j0srJtRF8EY6A0b1uvHgWMi4muvvWaTnkYFevkBeEJstbU3YHOkP8v4KOcf4uy5NsnK5DAmwAQsE3Arp9lyUziWCTABJsAEmAATYAJMgAm4hgBPBHQNVy6VCTABJsAEmAATYAJMwIMIsNPsQcbkpjABJsAEmAATYAJMgAm4hgA7za7hyqUyASbABJgAE2ACTIAJeBABdpo9yJjcFCbABJgAE2ACTIAJMAHXEGCn2TVcuVQmwASYABNgAkyACTABDyLg1k4zts329/fM3Y+UpZs8qK+5pClYdglLOblS7kYdrtIfuuPPVaIs+WepfMOltiylk8W5Wn9ZnRxmPwFHbG1/re6T09nXEmU5R/chwJoyAfcmUNm91fcs7XFBnT17Nn3wwQ6qUaMGXbt2jTp06EiTJk2+K+v6uhPN5ORptH79Ovrjjz/o9u3bVL16dXrjjYn00ktDndYMWR0zZsykvn372lRHfn4eFRUViTyNGjUyWyvYpsI0JsZ206tWraJLl74VfQnZRox4mV5/fazGEtSTwTEaPTqe9u/fT5UrVxb8GzZsSOnpGUb9FDf0MWMSCFuPK+k6duxIS5dmWl1Te86c2ZSVtVLYF5o89NBDlJAwmkaPHqOumEkM6t+3by9VrlSZaj1aS3A3XcsbbYF9jh8/Tg888AANGDDQqA0mRfKhCgE85M+ePVNsp61cu6Kiomny5ClWba1SpEcFY83wFSv+LtqE63q9evVo2rRkeuGFzja3E3127NjXqaBgj+izv/32G2H999TURbxes800OQMTsI2AW79ptq2pFTs1HOYePbpTndp16Msvv6ZTp86Iz06dOlFk5CD9Jh4VuxV3R7vY2OGUnb2Gfv/9d+Gwodbr16/T1KlvERxdZ0h4eA9pHePHj6W1a7M1VYGbW0REOM2dO1c4fXD8UlJSRJiWN7SaKpEkwoPX2rVracmSdCouviz60rp1G+jAJwcoKSlRkkN7ENrUtWtn4TAjFx5YIHCMu3cPI+UXEnziGOGG6eBoIz/KURPY9+9/X663L+ooLS2l+fPn0WuvWXeaUXZ8/CiKjo6kO3fu0AMPPkB5efkUHBwkHGSlXtigZctnaOLEN8QGJ6tWZQnbdOvW1aJ+Sn7+LCOwd28BjRo1SjywKv3t6NFjdOv3W8IGlmztDQxxzu3/eD/hHMR1HYyWLFlKEyaMp0WL0mxCoJx/cJghcJgh2DwpKmowbdu2TRzzPybABFxDwK03N8HwjIMHDxB2AXR3mTQpiR568CGaOs3c6cPN/KOPPqJ169a7ezMd1h/OGB4i8IZZTQoLP3VoR7fNmzfRG2/8TbWO++67j7744qTVN2hwmAOfb2Vm0xnTp1PB3j30yScH1ZpgdzgcQfDZs2cv1a5d26icGzduUFBQG1q+fIXdb6TwUIL+qCbVqlWjs2e/Ij+/psLRVUsXGzuCkpOnm0XDvrj5w9mVCd5Y79ix0+LbYDw0HD92jNZkZ1PVqlX1xeTn5dEbE/9GH364S4SFhHQUjrk+gcGX558PpK1b2QExQKL6tUWL5pSZsYzaBQebpRkxYgQ980wAvfrqa2Zx3hCA/jx58iTaseMDo76ItuOBMjS0I9lyvcL5h4d25WHVlOH9999PRUXfmAbzMRNgAk4iwG+anQTS0WKwle+ouDhpMQMHDqL9+z/mt19ElJGRrurMKvByc3OVr3Z9vvvuuxbruHXrltEbS1klcLxv3vzFzGFGWjwYPfVUE0IaZwuGI8AhNXWYUQ8cSMQdP37M7mqt6fzrr7/Sjh3bCZ+WRK2c7dtzVR1mlAdnQS0v4vGLzbJlGWYOM+LCunUT7U9PT6e0tDRVhxlpv/jiOP+6AxBWBE5ho0ZPSR1mZI0dPpyOHj1qpRTPjUZ/TkhIMHOY0WIMaXp5xEgqKCjQDABv9dUcZhSi0+n0v/ZoLpQTMgEmoJmA175prlvXRzOku5UQP9upyYv9+9ORo4fVojm8ghFo3LgJRUVFCSdNphre1mLMbkmJcyfpaal32bJMunLlikwtjwjr2iWMVmbJ34afPHlS/Cx+/vw5j2hrRWiEJd5Xr16lwMDnKoKa5aJDzZq1aM2abAoICJDWj+tATk4OeXJ/tHRfk0LhQCZQgQl47UTAinYiw4nHDUb2hhA/q8NhPnPmS6tDAipwX3OKahjvqoznUyswMTHJpgljpuX069eXPv/c8tuxBQsWikljpnmV48yMDOWr9BPDGDDJc86cudJ4ewMx4cjSGFLEDR06zG4+1oZdYDLdwoWpYqIS3siriTKMwzQew5Twq4slURvagTx485m1cqWl7GLS1M2bN+n779UfUlHAuHHjxZ/Fwrw8Uhl+oIah6MIFCgkJpbVr16kl8ehw9Odjxz5XdZovl1ymyMhIMUlXC4j27dvRd999p5oUw5c2bHjX7uFXqgVzBBNgAoIAD8+oIB0hOnoIzUtJkWqzadNG4WCZzvyXJvbwwJEjX6F777XcbXv37u0QBdzEcPNRE4xpDgvrphYtwrFaw6FDhapp8vPyqUmTJqrx9kZ06vSCGHOMBzBTQRjebMGJsVewuoQlqVKlCkVE9CJ8WhK1cnr16m2RPezy8ssvqxaNc+TI0aOEB02ZwIFBmqZNm8qi9WGop2vXMP0xf5ETaNu2rRhOg/HiMklNTSVMZvZWQX9evHiRtD9iTPPKrBUUFqa9n/XoEW7x/MBkY9iEhQkwAdcQsOx9uKZOLlVCAMvK7d6TT5gkpjg8uPHDyUlLSxXLzkmyeV0QbghwDCtVqmTWdoTFxyc4NAkQhcKhg2OpVgeWirL2AAOn+ujRwyRzJhCGXw769etv1gZHA/z8/GjQoME0ePAgsfyXUh6GJURGIjzK4iQ6Jb3a5/jxE8SbWlk8HiZycv4hov7xj02EY5lgeSyUIxPYt2fPntIHIzwsgZmPj68sqwhD+1u08KeFCxaYpYGTgnMJD6gTJvzNLN4woE6dxxziZFiWp3+fMmUKjXzlZaOx5riGvTxiBP32+680bNhwT0eg2j70527dutOwoUONzkdcA7B0ZVraIov92bRg3Cf++te/mgbrj/ErDwsTYAIuJKBzY4mLG6Vr3ryZG7fAWPXr16/rkpISdb6+T+j/4uPjdCUlxcYJ+Ug3e/YsYXuFFfrB1q1bnUpm2rSpuoYN6+ttgTry8nZpruPMmTM6f38/3fhx43R5u3bpDh44oJuenCzCEOdK2bLlPV379u30uuP76tWrnFIl+umoUSON2ISEdNCZtgnHCFdsBJbIh/zWJD19iZl9s7PXWMsm4lF+z549dP379RPcT5w4oUtNXSj0ABdFUJ6im/JZv/6TutatA/mcUyBp/CwsLNQNGRKt54l+P3Pm25psrbEKt06WlpZqdj4WFOyxq03o3xMmjDc7/2ADFibABFxLwGsnArrwOYSLZgJ6AhhD/P772yg/P1+E4afYPn36Wn1TrS+Av9hNYOvWLWJlAqzh7efXnF56KcbsrR5W28BKGmfOnKYqVR6mPn36sH3sJs4ZmQATYAKeTcCtnWbPNg23jgkwASbABJgAE2ACTKCiEOAxzRXFEqwHE2ACTIAJMAEmwASYQIUlwE5zhTUNK8YEmAATYAJMgAkwASZQUQiw01xRLMF6MAEmwASYABNgAkyACVRYAuw0V1jTsGJMgAkwASbABJgAE2ACFYUAO80VxRKsBxNgAkyACTABJsAEmECFJaC+7VmFVdlcsfDwHhQcHOwxG4CcPXtWvxUy7+5kbm8lBMuFlZSUbYWMTS2sbTii5LPl827UYYs+tqTFcnfoSxBX8NHaT7HVMgT2gR5axdX6a9WD02knoA4p4TQAACAASURBVNja19fHbHk/7aV4ZkpnX0u0nn+eSZNbxQTKh4BHOM3lg875teIiGB8/iipXvo8a1G9A33z7Dd2+fZuw45a1bZudr03FLRHO1Jw5s2nDhvXUpUvZFrR79uTTqFFxNGXKm05RHHXEx8fR6dOnqFVga/r5Pz9TUdEFwjber776muY6UA7WC96zZ4/IczfWaUad6enptGxZhhGfuLgEGjNmjMMPF+inc+fOoZMnTxixSU6ebrTLIdqdnDyNGjV6iv7fX/6f2AUxIOAZSkqaZNF5tqT/5MmTNbPfvHkTffTRR4R1mps1a0ZDhw41c+TgyGzbto0+++wzql69OnXu3NmoDZor8/KEMlu3aBFAc+fONWPubajQn515vUKfTUpKolOnTlo8/7yNM7eXCdwVAq7dO+XulN6jR3exQ9zdqc01tSi7x23atNGoAuwi5+/vr+Pdnv7EEh7eQ+yyV1paqg+8cuWK2AEuMXGiPsyRL9hRDrv3GdZRVFQk6sBOZ1pEsemI2FixMx12BcTugNgtzXT3PC3laU0TF/eK0BNMFFH4REVFKkF2fWJ3SuiflbXSKD923UM/VXbcwyeOEW4oyIf8lna5hI7YzU+mP9pmTQx3BMT5pOzEiF3/FP1QBr4jDHZGGtgnNjZW7CaoZddCa3p4Szx2mjS1Nc4bZfdLb2fpzOsVWOL8Mb02mZ5/3tL3uJ1M4G4ToLtdoSvq8wSnefToBDNHRGGFGz+2QWbR6cAiNDREigI3amc4pHAC4DzJBI4cHC1LTh/yKTc3OGKmgjDo6QpnAg9XISEdjZx9pX7wQZwjD2B4KMENWyZlN24/EYX2mTrMSh7kV3u4wTbllvQPCLD+AAmnW6YjHnqgF9oP+8GOCDMV5I2OjjIN5mMJAaWfq9kaD4laHzIlxbt9kLOvV2AJpjJRzj9XXFdk9XEYE/BGAjwR8K68z7deyfbtuTRw4CBpwgEDBtKlS5cIP8t5uxw/fpzi4+OlGKpWrUqxsSOooKBsKIQ0kYbAgoICGjhggDRl7dq1acCLA/XbYksTEVF+fh4FBramsG7dzJIgDEM+8JO2s+X48WPUu3dvAgtTQVhMTAwhjb3y4Yc7KXrIEGn2gIAAqlXrUcrKWik+cSwT5Ec5Mjl27LjQUU3/YcOGW9QfQ0dOnz5D4ydMMCu+YcOGNHbsODGsB8NXxo+fQAgzlanTptH333+vHw9uGs/HfxIA78ZPNSE1W780dKgY+vJnDu/6huFBlq5XL/YfYNP16siRIwSmMoENYAvYhIUJMAHXEPDaMc116/q4hqgDpcocBaW4pk2bUVBQW+XQaz9r1qxFgwdHqrYfk81ycnJowYJ3VNNYi2jcuAnVeewx1WR+zf3EWN3p05NV06CMqKgo1fiwbmGUlpZKU6e+pZrGnghr9VarVo2WLcuklJS59hQv8sgcTaUwjMUHl67/G2uuhBt+Iv+1a9dIdg7WqVOH3p4x0zC50XfFvpb0R91q59Jzzz0v+setW7do8eIlRmUbHoSGhFL37mXj5Q3D+bs5AUu2hh0uXDgvtbV5SZ4XgusV5lqoiY+vj83XK5wjalKjRg0aNEj+wK+Wx9XhxcVlk7VdXQ+XzwTuBgGvdZor2oncokVzunjxovTN140bN+irr76kiqbz3eigpnXMnj2bPvpon+qbrbNnzlJkZCSNGPGyaVbNx5MmJdGxY5+r1vHhzg9pxYqVFidnZmZkWKyvtLSUIiJ6iUlxFhPaGLl2bTZd+vaSaq6vvvyKYmJesmkyo2FhERE96dDBg9QuONgwWP/9yNHDtGbNWho7Vn2yJPJjQuCOHR/o8ylflixZTIcPH5a+oUeayyWXaciQIYQ3zjLB6g1ZK1fKovRhjz/+uP67pS/TpiU71I8sle0pcXir+eqrY1SbU3ThAgUGtqJ169arpvHkCGdfr2JihtCJL75QPT8weXzXrnyLE209mTe3jQm4mgAPz3A1YY3lDxo0mObMni1NvXDBAoqOlv8kLs3gwYEYerBqVZZ4wDBt5smTJ2lPwW7CcBZHpFev3pSWtoiuXr1qVkx+Xh6dv3CO2rYNMoszDKj1aC1av17dUTh0qFD6gGRYhj3fO3XqRCuzVkj54KEMcX379rWnaJEHq0ukpqYSHuRMBXbBignQAZ84NhXkQ36UIxPoZk1/tbwoD0udwXGX6Yd4PHDBaW7SpAnlvv++TAWR970tW6hNG/5lRwrIIBBLCN6+fYuwUompwAYp81Ic6m+mZbrbcWhoqFOvVzg/wFTWv2ED2MKWZR3djSfrywTKnYC7DeTOyFgqJvBcu3ZNr3rz5s10CHdnweQNrNiACWiYyQ/BxA5M+kA4T+7407rKbH1MqMPkNkzOw6oMpqsj/JnD9m+YqIZJZ7I6MFlNiygrcJimxUQzTOx0lU2VlSvABGzwhwlJhqtbmOpky7GyOofSTzGZznRVEGXlEIQrk+2QHqtiWFsBQ9EfOiv6l6268efqHJb0nTVrlqgHfcNQlAmYmASIP0wKRJihIA90jo+PMwzm7xYIKLZGv4atwRC2xoRdnEfeLs6+XoEp2IIxWIM52KM/u3JVHm+3I7efCYDAPfhX7p67DQpg3VxsZjJp0mSKj0+gnTs/EOvp5uS8S8HB7W0oqeIlxXqe2dlraPfu3WIN3Hr16tOAAQNo6NBhDq+tW/Fa65hGmGi3Y8cOwgRKjOPr0KGjeBvvzM1g9u4toDVr1tD+/R+LOtC/Ro8eo/lNDn66TkqaSDdv/iKGFKDFePv88MMP09y5KZrLsYcUhilgHetPPtkvxg/j7Tl+rXAWnzVrVtOWLVv0/TQoKIgmT55i1E/Rn2fPnkWFhYV06dK3YkhG//79VYdWGLZT0d8e+6LexMQ3CGVgGAfGQRceKhRvoOfPf0c/rAb2iYwcJCZstmsXJDYUys3NFW+iMzOXGbXFUDf+bk4Ak5QxudLQ1sOHD+c1r/+HSna9wv3L3rfCmES8evVqo/MPa7D7+PiaG4dDmAATcBoBt3Oa0fKcnA1isXhsWoANCeBAR0VFOw0KF8QEnEkAN8yioiJRZKNGjfROmzPr4LLMCcAp3rdvL1WuVJkwXAYbBMGBNhQ42LDPv376F92+c5uefz7QaQ8WhvXwdybABJgAE3B/Am7pNLs/dm4BE2ACTIAJMAEmwASYgDsR4ImA7mQt1pUJMAEmwASYABNgAkygXAiw01wu2LlSJsAEmAATYAJMgAkwAXciwE6zO1mLdWUCTIAJMAEmwASYABMoFwLsNJcLdq6UCTABJsAEmAATYAJMwJ0IsNPsTtZiXZkAE2ACTIAJMAEmwATKhQA7zeWCnStlAkyACTABJsAEmAATcCcC7DS7k7VYVybABJgAE2ACTIAJMIFyIcBOc7lg50qZABNgAkyACTABJsAE3IkAO83uZC3WlQkwASbABJgAE2ACTKBcCLDTXC7YuVImwASYABNgAkyACTABdyLATrM7WYt1ZQJMgAkwASbABJgAEygXAuw0lwt2rpQJMAEmwASYABNgAkzAnQiw0+xO1mJdmQATYAJMgAkwASbABMqFADvN5YKdK2UCTIAJMAEmwASYABNwJwLsNLuTtVhXJsAEmAATYAJMgAkwgXIhwE5zuWDnSpkAE2ACTIAJMAEmwATciQA7ze5kLdaVCTABJsAEmAATYAJMoFwIsNNcLti5UibABJgAE2ACTIAJMAF3IsBOsztZi3VlAkyACTABJsAEmAATKBcC7DSXC3aulAkwASbABJgAE2ACTMCdCLDT7E7WYl2ZABNgAkyACTABJsAEyoUAO83lgp0rZQJMgAkwASbABJgAE3AnAuw0u5O1WFcmwASYABNgAkyACTCBciHATnO5YOdKmQATYAJMgAkwASbABNyJADvN7mQt1pUJMAEmwASYABNgAkygXAiw01wu2LlSJsAEmAATYAJMgAkwAXciwE6zO1mLdWUCTIAJMAEmwASYABMoFwLsNJcLdq6UCTABJsAEmAATYAJMwJ0IsNPsTtZiXZkAE2ACTIAJMAEmwATKhQA7zeWCnStlAkyACTABJsAEmAATcCcC7DS7k7VYVybABJgAE2ACTIAJMIFyIcBOc7lg50qZABNgAkyACTABJsAE3IkAO83uZC3WlQkwASbABJgAE2ACTKBcCLDTXC7YuVImwASYABNgAkyACTABdyLATrM7WYt1ZQJMgAkwASbABJgAEygXAuw0lwt2rpQJMAEmwASYABNgAkzAnQiw0+xO1mJdmQATYAJMgAkwASbABMqFADvN5YKdK2UCTIAJMAEmwASYABNwJwLsNLuTtVhXJsAEmAATYAJMgAkwgXIhwE5zuWDnSpkAE2ACTIAJMAEmwATciQA7ze5kLdaVCTABJsAEmAATYAJMoFwIsNNcLti5UibABJgAE2ACTIAJMAF3IsBOsztZi3VlAkyACTABJsAEmAATKBcCbus0FxcXU926PuTv71cu4LhSJsAEmAATYAJMgAkwAe8h4LZO886dH1DdunWFpXJyNniExf773//SpElJ4mEADwT4S0iIp8uXSzyifc5sxKJFadShQ7CeFb7v3VvgzCpoyZLF1KJFc6M68vPzbK4DeVJTF4o/e/LbXCERbd26xYzPmjWr7SnKLA/66cSJbxixiYkZQmfPnjVKi2OEK30ZLJEP+a0JdDW1L9pki6B+hfvmzZtU6zW0j2kbbKnPm9N++umnZraeNWumKnNvY+XM6xXOH7A1vDbhPIMNWJgAE3AxAZ2bSrt2bXUZGUt1kZGDxZ+bNkOv9vXr13XNmzfTTU9O1l25ckWEl5aW6rKyVur8/f10Z86c0af19i+JiRN1/fv10504cUKPIm/XLp2/v79u9epV+jBHvliqY8uW9zQVDZuGh/fQhYR01KWmLhR/+I6wkpJiTWXYk2jmzLdFnYZ88D00NEQ3a9Yse4rU50GbevbsoRs/bpzFfor+in6L/ot+DEG/Rj7kRzlqAh2hq6n+AQH+OrRNi8B+qB/nE3RAfzE9j6Bj+/bBIg5pYCP0ofj4OIv6aanfm9Lk5e3S+fo+odu0aaO+2bD1iNhYYWt9oJd+cca1xBAdzh+wVe4TiAN72AC2YGECTMB1BMh1Rbuu5AMHPhEXCHxu2LBefP/uu+9cV+FdKDkpKVE4FLKqcEOPjo6SRXldWGFhoQ7Ok+KIGQIoKioSfcFRhxQ3IDi3sjrgyMH5suT0KTrh5ganzVQQhjhXiOKsGt5QlXoQZuo4KnFaPxcvXiRu2LL04Na+fTsRhU9DJ8owPW74KEcmlvSHfaG/NfvC6YaTbGq/sgersvwoA2WZ6og8yBsX94pMPQ6TEMCDB9jKBCzT0lJlUV4R5uzrFVjGxsZK2cEGsAULE2ACriPglsMzPvigbGhGcHB7Cg/vSdWrVycM13Bn2bBhPU1MTJQ2YeDAQfTJJ/v5p04iys19n4YNG05Vq1Y1Y9WwYUN6ecRIKihwbJjGRx99REmJSdI6AgICqEvnrmRtmAWGA9y8+QtNnTbNTE+EPXD/g4Q0zpZ9+/ZSbOwIql27tlnRCEPcxx9/ZBanNWDz5s00afJkafIBAwZSpUqVaMeO7eITxzJBfpQjE+impj/s+2L/AbRt2zZZVhGGoUzLlmXQ0owMM/uFdesm8qenp1N2drb4bqoj+tWa7Gw6dOiQ2XAT1Uq9OAJDAmrVqkVgK5Nx48bRsWPHZFFeEbZ9ey5NmfKmWV9E4+25XoFl7PDhUnawAc4/HqYhxcOBTMApBCo7pZS7XAgc5ISE0aJWOMz+/i0IjnR8fIJmTTDOsqKJzNGBjriRtwpsTc2bN6toKt91fWrWrEVr1mSr1uvj60Pr16+nqVPfUk1jLaJx4yZU57HHVJP5NfejCRPGiz+1RChjyJAhatHUI7wHwXlDOc4U1BsVFaVa5BNPPEHz58+jlJS5qmmsReBmryYNGzSi0aMTqGuXMLUkwlm4dOlbMdbZNBHsO3eOum6wb05OjmiDaV7lGHWrnUu9+/QRzG/dukWLFy9Rshh94nyDc969u3objDJ4+YElWzd66inxkFYRr7d3w2zoz4MHR6pWZc/1av78d1TLa9igIQ0aNEA1vjwiiosvl0e1XCcTcAkBt3OaMenv+vXr4g2zQqRnz56UlJRIp0+fEg60Em7ps6KdyLipXL16VXqzv3HjBh05epjOnPmSHnnkEUvN8vg4TJQ8duxzwhtfmVwuuSycVbyNtlcw+fLKjz+q1nH2zFlasGAhmb6lNKwvMyPD8NDse7Vq1SgoKIj27//ELM6RAExetDTR7vvvv6ehQ4fR6NFj7KqmQ4f2dPHiReH4ygq4+E0RLV2aQampqbJoEYb89erVp08+OWCWZunSdPrq669U31yibb1796ZXX33NLC8C8JYta+VKaZwS+PjjjytfVT8fqf4IjRs3XvypJuIIwRsPYWpSdOEChYSE0tq169SSeHQ4rlfnz59TvZbYer166aUYAlO1h8Kf//Mzbdy4mdq2bevRXLlxTKC8CLjd8Ay8UYYEBwfpZ+XDYYYoceLAzf5FRw+h5cuWSbXetGkjdewY4vUOM+D06tWbFi9eRHiQMBU4YyuzVlDnzp1No2w6Dg0NpZR5Kap17CnYTWFh8p+jlYoeqvIQFR4qVA7NPj/79DNq0qSJWbijAZ06vUCrVmWJBzDTssAMcS1bPmcapfl4wIABlLF0qTQ9hpvcufMHRUT0otu3b6sOP0F+lCMT6LZq1WopezxUQn+0UU3wUHnk6FFpfuTBAxfSwHHGdzXJzc2lNm3Y8VDjo4TDOSsqukCHDh5Ugow+V61eTYGBgUZh3nSA61VGRoa0P9pzvQJLMJUJbABbsMMso8NhTMBJBFw3XNr5JWOyH2YIY9UMU4mLG6XDihruKsrEJEwSUyYw4ROTAB2dvOWuTNT0ls1GxwQ9TBB01qSjyMhBYkKY4YQ6ZYUOLatnYKIg7CabIFVWjrbJhGoMLIWrrT6BSVlg54jIVs9AeZhQh3MTE58g+JStqKBl9Qw1+2pd/QOTZmUTMMsmEvoL3ZQJhwgzFeTFCics2ggUFOwRq44YTqrEeaPF1tpqcO9Uav3ZnuuVpfMPK7/AFixMgAm4joBbrZ4BZxnLsl27ds2MiLKixgcf7DCLc5cAOM5Y7grOBhwufMIBwA2exZgAVl8AI4UTVmvQ4swal2L5SFaHLTclxTGDE3bwwAHxh+/Q2dU2xdJ7mEmvMMKnsx4ocOPGai+G/XTIkGizNqGNCDdMh3zIb02gq6I78qMtWpcTVBwLrDKABxQ8UJUtJ+dn1EfQX1A24pAGabGyB/qSq+1jrf3uFo+HJKwIA54hIR3EJ5xFLbZ2t7bao6+j1xLDOsEUbA3PK7BXHlgN0/J3JsAEnEvgHhTnpJfWLi8mPLwH+fv709y5KdK6MGQDkwIzM+XDHKSZKmggNlnw8+PdDq2ZR9n4xcfH11pSu+NRxyOPVLdreAzG4GZnr6HPPvtM1N+sWTMaOnQouVJfw4a6mo/Wfqo1naHu+G6v/uCOzVCOHDki5kD4+TUnDLsx/eka5WO87dmzZ0TVXbp0oX79+ttla1PdvfEY3EtKSvjapWJ8R64lsiJxXvn6+nJ/lcHhMCbgAgJu5TS7oP1cJBNgAkyACTABJsAEmAATsErA7SYCWm0RJ2ACTIAJMAEmwASYABNgAk4mwE6zk4FycUyACTABJsAEmAATYAKeR4CdZs+zKbeICTABJsAEmAATYAJMwMkE2Gl2MlAujgkwASbABJgAE2ACTMDzCLDT7Hk25RYxASbABJgAE2ACTIAJOJmA222j7e/vJ5aQMuRQvXp1SkgYTfHxCYbBbvsdywhh6SbsXMbLzqmbEYzACgJOrthi3LAO0+XK1DWrGDGGuruCD5bPKim5bLWfKv3Z19fHpqX2XK1/xbCSZ2mBbcwhttrasyjIW2PYn51xLVHOP9TmjPLkWnMoE2AChgTczmmG8nCOJ02arG/Hzp0fUHx8nDh2Z8cZzkVS0kT67rvvqFVga7r4TRHduXOHUlLm80VRb20SDxTp6em0bFkGdenclX7+z8908WIRjRz5Cr366msGKe3/ihvcnDmzacOG9UZ1jBjxMr3++ljNBaMcZb1gZGrVqtVdWQd41qyZtHz5Mnr++UD6S42/ELb+HjUqjqZMeVOz7moJ0U/B5tSpkxQY2Jq+Ef30D5o2bRq98MKfW5jv3VtA06dPp0qV7qUGDRrR0aOHqUWLAHHuWnoYBDNT+2LLa1v1x7bex48fp+LiYmrTpg317dvXzGmH47Fv3z6xjjYevlu2bEkDBgxUazqHqxBAH09Onka1aj1K9es3ELbGmvkpKSlmzFWK8Nhg9OfZs2dRTs4Go2uJvdcr9NmkpCSj8+/f//43JSdPF9cWjwXJDWMCFYGAc/dKcX1p2BFw9uxZZhVFRg7WYSttdxVl9zjDrWjRFtPtid21fc7UG7skYuc2wy2u8R3bRGMLaWcIdtjCNsDKluYoE7vGoY6ZM9/WVIViU+gKOyo7zrl6R0Bl214Zn7i4VzTprpYIu5FBf+yiZ8gGOx4abuOrbK2McEWQXtmZz9JOcdARnGX6o23WBGVjG2xsu41t6MEdOzFiBzXDXSPxHW1BHNLARsgD21vSz1r93hZfxtFfnB9K22FrcMXuit7OUna9wvbt9lyvwBJMwdbw/MO1CeefYf9WbMGfTIAJOI+AW22jjWZbcpq13FCdh865JWH7bNzgZYKbOW7kLGUPEXBsDG8YCheEOcMhxY0HNzSZ4GYH5wtbnluSsptbsHDETNPBQYOernAmsJVuQIC/Kp+QkI4ObbeLcwwPEzIpu3H7iSi0D8cyQX61cxX6Q0c1+6Jt1rYLjoqKFE6Fad2wHfRCftgPdpTpCIcEjg6LdQLow9ZsjS2kvVWUBzG1/gx2tmzZDpbWzj9XXFe81X7cbiZgSsAjJgLiZ6/r168bDdmoCG/xbdHhgw920MCBg6RZ8HPxyZMn9VsKSxN5SSB+bo+Pj6eqVauatRhhL/YfQAUFe8zibAnYunUrjRw5UpqlYcOGNODFgZSfny+NVwLz8/PoqacaS3/qD+vWTQy/wU/azpbjx4/RsGHDVfn07t2bkMZeKSwspITRo6XZAwICxM/zWVkrxSeOZYL8H364UxYldIuJiVHVH22zpD+Gjpw+fYrGT5hgVj5sN3bsOMrNfV8M/xg/fgLJdETeH374QT9e3qwgDtATAO/GTzWRckSil4YOpd27d+vTe9sXZ1+vwBJMZYK+DFvAJixMgAm4hoBbjmnOzMwg/BlK3bp1qbj4O8I4Oi1St66PlmR3NY3MEVQUaNq0GQUFtVUOvfazZs1aNHhwpGr7fXx9KCcnhxYseEc1jbWIxo2bUJ3HHlNN5tfcT4zfnD49WTUNyoiKilKND+sWRmlpqTR16luqaeyJsFbvE088QfPnz6OUlLn2FC/ywPlUkwb1GxC4dO0SppaEkP/atWskOwdh38mT/5yvYFoIJnvCvpb0R91q59Jzzz0v8t+6dYsWL15iWrw4Rt6QjiHUvbt6G6QZvTTQkq3B8sKF81JbewMuV1yv6tSpo4quRo0aNGjQANX48ogoLr5cHtVynUzAJQTc0mk2nQiIiT6YCIi/gwcLNYGqaCdyixbN6erVq1S7dm0z/W/cuEFfffUlVTSdzRS9CwGzZ8+mjz7ap/pm6+yZsxQZGUmYsGevJCTE0/nz51Tr+HDnh7RgwULpW2SlzswM44c6Jdzws0OHjjRnjv3Oq2FZyvclSxbT5RL1m9RXX35FMTEv2T1hMiKiJx06eJDaBQcrVRp9Hjl6mJYuzaApU9QdX+QPCHiGduz4wCgvDqA/dFQTtC0iIoJef32vNAlWb8hauVIapwQ+/vjjyleLn9OmJTvUjywW7iGR4D158iTV1hRduECBga1o3br1qmk8OcLZ16uYmCF04osvCL9WyeSbb7+hXbvyedUlGRwOYwJOIOARwzPwljk6OlrMksdPs+4o3bp1p3kpKVLVFy5YQD17RkjjvC0wNDSUVq3KoosXL5o1HUNYsEqEo6sfwKnE6hN4WDGV/Lw8On/hHIWFyW9aSvpaj9YiONdqkpeXT4GBgWrRdodjhYiVWSukfMAMcUhjr3Tu3JlSU1OlbGAXOMMREb3EJ45NBUyRH+XIRIv+/fv3l2UVYVjqDI67zHZIgFU44DQ//XRTyn3/fWk5yPveli3Upg3/siMFZBCIpc7u3LlNWKnEVMAxZV6KQ/3NtEx3O3b29Qrnx4oVK6T9Gza4ffsWO8zu1klYX/ciYDrIuaIfq00E3LBhvZjY891331X0Jkj1w+QNTPbDSguYsATBJyZ98Ax0Y2RYvQIzxTGhDhNs8IdJlM6cPY6JapiQhjogWMkBdWDyGFaG0CLKLHfTtCinfftgl0wERF3KagaGfMomHzpndn14eHcxUVJZGQNsMHnOcFKTsnIIwpVVMJAeEyyR35I4qr+y+obp5CswUCZxYiIg9FXsq+iDPNAZkwlZtBFQbI1+bWprtQmf2kr2jFTq1ys/u1a7AFOcR4bnX9n1z7ZJhZ5Bl1vBBO4ugXtQnTu5+djcJCoq2mjSnzI8A2+cMzOXuVNzjHTFep7Z2Wto8+bNdOnSt4TxaXgD/eabb7lk4w6jyt3sABPt0tOXiAmSUL1Xr94UHT3EqetZY6Le6tWr6eTJE4IO6sDQIEtrDBtixIScpKREeuD+B6hHeA8RhbfP//zpKmVmLtdcjmGZWr/jZ3OsMb19e67I0rFjCA0ZMsTqG3Kt5WMYBd5sXbp0SfTT8PCeNHr0aKM1ebGe7NKlSwnrqGMMc7169cSvAFrW0oZ9169fT/v3fyxUssW+OI8wVAuT+TDxEeOgMWwHv0IYrmUL+0RGDhKTMoPaBYl61q1bRxj3vBa2QwAAIABJREFUnZGRyeec1s5AJCYpG9oavzjg1wRb1jS3oTq3S4o1yzGHAb+GQWzpz7LGLlqURgUFBeLahPuE7PyT5eMwJsAEHCPglk4zVsowFTjSc+fKhzeYpuVjJnA3CcC5/NdP/xJVYtiGo8NH7qbu7lwXHhyw0sa999xLD1V5SLqpDBxs2Of3336nP3R/UKNGjZz2YOHO7Fh3JsAEmAATMCfgdk6zeRM4hAkwASbABJgAE2ACTIAJuJaAR0wEdC0iLp0JMAEmwASYABNgAkzA2wmw0+ztPYDbzwSYABNgAkyACTABJmCVADvNVhFxAibABJgAE2ACTIAJMAFvJ8BOs7f3AG4/E2ACTIAJMAEmwASYgFUC7DRbRcQJmAATYAJMgAkwASbABLydgFtuo411Xzds2EAHDx4Q9qtevTolJIwWa+i6u0GxBNannxbSl19+Sc2aNaO2bYN4vVgVo2Kd3c8++1TEYvc2resnqxQnDUYdu3fnk4+Pj1gD2sfHV5quIga6mg+WdAN/S2ywVjPSXb58Weywhx3ktIqr9deqB6fTRsARW2urwb1TObs/azn/3JsYa88EKh4Bt1tyLjMzg+bMmS02N8FGExA40QirW/dJysl5t+JR1qgRFsAfN24sNX6qCQW3D6aDBw6KLZsNN2TQWJRHJ8ODRUJCvNi8IqRjCGHdbmxcERzcXqzVjc0sHBXc4BITJ9LNmzcpNCRUX8fgwVE0efJkzcXDkUhPTxe6IhO2cB4zZozRJiCaC9OYEHwGDnyRzp07R3fu3BG5KlWqRA0bNqStW993+CEMbFD+L7/8oi8fleB8nDTpTzbJydPElueK2vfddx89+OCDtGnTexYfcBT7njp1ml7835bZ2Nba37+52LxIi31RBjYKOnLkCN1zzz1UtWpVwvbopk47HA9sAPP9998LNZs0aULYfEVLHUq7+JPEtvPLly+jAS8OJN+6vpSbmyv6BjabcsXDrDsxR1/s168Pffvtt3Tr1i2heuXKlemZZ56lNWuybe5rOP+weQ/OaWzeU1JcQpvf20SjRsXRlClvuhMa1pUJuB+Bu7sBoWO1Xbt2TYdttLFltqkcOPCJ2CJXFmeatiIeFxYWim2gla1RFR1PnDghwrVu3azk8+RPbDeOrY4NBdsfYwtyZ2x/jC3Nsc21rA5sX6t1a+C8vF1iq2aUAzviLzV1oein2CraVdK2bRtRB7aMNv1DnCOCLZMbNKhnVi7qqVvXRzd79ixRPD5xbFo/jpEf5aiJYl/DbbCV7a2jo6PUsunDlW2dsQU9zidw37RpoziPZs0q0w+Jle26sQUx0iAt8hhuB64vlL+oEli8eJHY1lnZQltJWMbcT4cty71VcC1p3TpQeh7gXAgL62ITGmX7d7A1FLDHtQm2YGECTMB1BMh1RTu/5IyMpcJpVisZjrO7ypAh0eLGLtMfN/P27dvJorwuDI5ObGystN1wrEJCOurwAOKIZGevEQ64rAzUocWpws0S6fJ27TIrBvZEnCucCTjq9es/qXqTfvJJX9V+ZqaoJGDIkCjVshWHGNnUHGvFiUY5MoEzEBoaIosSYbAv2mhJwsPNH6qQvqioSDjO6B/KQyrCTAU68PlmSkV+jH4Om5o6zEpqPDBqfchU8njSJ64l1s5HSw+QpizA0vRhXkmDvgxbwCYsTIAJuIaAW00EPHXqFPn7t1B9nY+f591V9u//mLp37yFVv11wMF27do3wU7+3S0FBAQ0cMECKAT/B4+fKzz8/Ko3XGrh7924aPny4NDnqeLH/AP1YamkiItq6dQt16dyVwrp1M0sCe6KMffv2mcU5GvDxxx/T7du3VYv5448/CMOA7BUMZ7AmWVkrrSUR45xliS5evEhDhgyRRYmwmJgYKioqUo3HT9cYNjJ12jSzNBieMn/ePNqwYb0YkjF27OtiyIppQmxzXqlSZVUdTdN78zF4d+kSRrVr15Zi6N2nD3311VfSOG8IfP/9962ej9jGXauAJZjKBP0btoBNWJgAE3ANAbebCIhJf86QunV9nFGMU8uAQ6Ymjz32OAUFaZ9EpVaOu4fXrFmLoqOiVZuBsag5OTk0f/481TTWIurXb0BVq1VTTebj60MYrzt9erJqmsaNm1BUVJRqfNNmTYWOb745RTWNqyI+/PBDclX/x5hNS1yUNv3+++9SHerUqUNvz5ipJJN+btu2jVJS5krjENi1S5hqXJ3HHqOvv/5axA8eHKmaDg9fgwbJH85UM3lphEXederQuXNfS23tpbjMmr1qVZbR2H+zBAYBVapUIZwjanIPUYXrt8XFl9XU5XAm4HYE3M5pxqQvZ0hFO5FbtGhOJ0+epICAALPmXb16lb766kuqaDqbKXoXAmbNmkl79+4lvK2VyaFDhTRq1CjC20J7JSkpkT76aJ/UFijzw50f0ooVKykszPwtslLn0qXpylfpZ2lpKfXr15+SkiZJ4+0NRL2WHEqUm5iYRKNHj7GrijZtWuknNcoKwASnjRs30aBBAy2+YcOEyM8+O2JWxNq12XT48GHpG3okPnvmrHgTPWyY/JcAvAnPWmn5TTfq1ul0dKO01Kx+JQCTq6ZNS6YRI15WgvhTQgBvNSMj1R8+TnzxBXXu3IXS05dKcnt+0N/+NoE2bdqo2lCcLykp8zRfr8aMGU1gKvsFC5UcOXqUdu3K9/rJl6rAOYIJOEjArYZntGjRgk6fPqXaZDg7OTkbVOMrcsTIka/Q2zNm0I0bN8zUnJeSQlEW3q6aZfDggKFDh9LKrBWEn/FNJT8vj44ePWzRmTXNIzvu3buPePMjqwM/pf7zp39araNRo0a0bt06WfEibP369dKhAaoZNEZghYj7779fNTXi8BbVXsHSjvfeq37ZaNy4MQUGtiJ8qgnyoxyZdOrUid7bslk8QJrGw75YJQUPG2ri6+tDu/fkEx40ZZL7/vuEFTJatWpFW7dulSUR5yDqCQtTf2MtzeiFgVgZo0ULf5oxfbpZ63EtS0yaSBEREWZx3hIwduxYi03FuWDp4ds0M1iCqew+ARvAFt6+WokpMz5mAs4kUCk5OVn9N2Zn1uSEsnAjxk9ZNWrUMBvbDGd60qQkccMODAx0Qm13t4jWrVvT8S+O0zvvvEN1atcRS52dPHGCkhIT6Z8/XaW0tEX0wAMP3F2lKmBtjzxSnZ588kmKjBxEGKpz772VhIP09+XLadHiNHr33Y3k6+vYWsrIjzGa8fGjBHPDOpYty6TVq7Ppr3/9q0U6cJoLCvbQmdNn6Lnnn9c7srjZzZ0zRzjes2bNtliGPZHoI76+dUXdGL9sKtOnz6D27TuYBms+Dgh4hjC3oLi4mAzLxxsz/Gy8ffsHglmvXr3p/fe30f/93/+ZpQsN7URTp5qPOYYSsC/YDx0aI5aKe+ihKkb2nT//HYtOAfJjTHPWyizqGBIilppTGocHHthv/vz51Lp1G3rzzclC12efbakkEc7IsKFDqUvXMAoP76kP5y/qBPAAMv+deXTo4CGqWbMm/ec//6EDBz4hPOB2796d4uLi1TN7eAz6I5jI5i9gCUacL7Zcr3BduXTpkviFqlatmuLXnItFReKh5ejnR/63JKNzhjB6uGm4eUzALgK8TrNd2FyXCRPIcIHF2p74Cblv374W36y5TpOKXTJ+Fl63bq1+qMDTTzell16Kcer6x/ipPzf3fX0dtq7hCxtiPdXTp88YrTeMt0EZGZk2r89qi0UwaXTq1Kl04cJ5un37DjVt2pRmzJjhND75+XmEoSA//fQvevDBB+jFFweIdZAN1zdG+2Gj997bTL/++hs9+mgtMSxEy5s1R9e3nj17Ni1blmGybvBtysxcrne60YeSxFu7m/r1bvGG2da1uG2xi6emha0N18VGP4iOHmK2Lrantt9au9DXFix4R0yKrFy5Ej377LM0cWKi3ecjrk2Y0KrcJ/DgMnToMJdeU6y1keOZgDcQcDunGUbx5B0BvaHTeVsbccN09c6F3sZUS3vheMO5sLYbIdJY29lQS32chgkwASbABDybgFs6zZ5tEm4dE2ACTIAJMAEmwASYQEUjoD6jp6JpyvowASbABJgAE2ACTIAJMIFyIsBOczmB52qZABNgAkyACTABJsAE3IcAO83uYyvWlAkwASbABJgAE2ACTKCcCLDTXE7guVomwASYABNgAkyACTAB9yHATrP72Io1ZQJMgAkwASbABJgAEygnAm61jXZmZgbNmWO+IYS/fwtKSEjwiM0IsEzWli1b6P777qfbd25Tp04v6NeVLac+UiGrxfqkWCv4Xz/9i/7Q/UFY9F/L+r+2NOZu1GGLPramxWYe4AOp9WgtzVv1aqkH/bSgoID+75f/s9hPsdzevn17qXKlyvRQlYeoc+fOmtemdaX+WtrIaWwjgKX7jh8/Rvfec6+wNXZuNFy327bSPCu1ci0BI2xAFBIS4tD1CuVhTX+cf7j+tWz5HK+J7VldhltTQQm45Zvm06fPUnHxZf1fz549xSYS7rqFttI3Fi1Ko6CgtnT92nV64MEH6M6dO2LnO2zUwPInAThiPXuGU15evuD00EMPUUpKCkVEhIvF/v9Maf831BEcHET5BnXMnTtX1IsbllbBTXLMmNFUt66P+IuJGSKcfa357UkH3SMietLGf2wUfNCX8L1Dh2BCnKOCm3WPHt2p+LtifT+Njo4kbGNvKDhGOPoxdEB65EN+SwIdoaup/miTVv3h1GOH0BYtmgvuyCurF2GIg32QNiEhXnMdltrgTXE4H8Bt8uRJdOvWLWHr06dOi/NHxtyb2KCt6LNt27amxMSJYqMfbEoyatQr1KZNK7uuV2CKaxMY47wCc7DHDqa2XJu8zQ7cXibgFAI6N5KMjKU6X98ndNeuXTPTevbsWbp27dqahbtLQEHBHp2/v7+uqKjISOUrV67o+vfrp0tLSzUK99aD69ev6/z9/XR5u3aZIZienKwLD+9hFm5rQElJscU6oqOjNBW5Zct7wqbQtbS0VPzhO+yMOFdJ+/btdGBhKllZK3Xt2wfrwNBeKSwslPZTtA/9dObMt0XR+MQxwg0F/RvtRzkygW7QEbqaCtrUs2e4abDZ8ZkzZ4T9UAbOH8jBAweEPomJE/Xp8T00NETEIRBpkQfXGDX99Jn5i54AOMpsfeLECcES9vBWQX9u2LC+4IB+ZfrXtm0bm9CAJcoAW0NRzr9Zs2YZBvN3JsAEnEwAWzW7jVhymr/77jtxMfnggx1u0x5DReHoyBxBpMEFEo4ii063evUq3YjYWFUUISEddXl55g61agZJBBw+mdOJpLg5oQ5rjgAcb9zcTB+CUAbCEIc0zpZNmzYKB0at3NjYWB3S2CujRydIHVqUB6cT7bp8uUR8Kg6raV1wTFGOTPAwAR3VBM6ZNf3hdMvSwHZwklEH+khAgL+ZU496yx5s+HxTs4FhuNLPTR+OlDSwdVJSonLodZ/p6UvEuYDzQvZXv/6TNl2vwBJMZQIbuOq6IquPw5iANxJwy+EZslfsdevWperVq1NxcbEsusKHXbp0icK6dZPqGRAQQDVr1uSfjYloz549NGDAACknBMbExFBRUZFqvJaIr7/+ml544QVp0qpVq1Lv3r1p9+58abwSuG3bNnp5xEhq2LChEqT/RBjikMbZgjHMPcJ7qBbbrl0QHT9+XDXeWsT27bmqcwdq165NXTp3pby8PPGJY5mEh/cklCOTo0ePUrduYbIoEYa2KeO0ZYkwHKZSpUrS8duwXeLERMF9x44dNGXKm4QwU8F52PipJi4fRmNarzsel5Rcpq5dwqQc0Z6OHUPo0KFD7tg0p+i8Y8d2i+Xcvn1bbPVuMZFBJFiCqUzQl2EL2ISFCTAB1xBwq4mAWhBcu3ZNSzIxhlFTwgqS6Ndff6Pu3dWdiQqipsvVqFmzluoNWqkcY9tTUuYqhzZ/+vr6UtVq1SzmS01dSPhTk8aNm1BUVJRaNDVt1pTmz58n/lQT2RFhrd5q1apRYWGhQ/3/4YcfVtUM45enT0+mTqHyhw5kVPJjHLGpgH3Lli1Ng42Ot2zdQnPmqo/zh+OgJnUee4x+/PFH8Tdy5CtqySi4fTCNHPmyajxH/EnAEm+kKi0tdai//VmTZ35btSqL8KdFcP2zJoMGqb9UsJbXFfGYf8TCBDyFgMc5zTVq1NBkm4p2ImPi06GDB6ldcLCZ/idPnqSbN2+IiY9mkV4WsHZtNu3du1fKCSjWr19PU6dOc2hmOiZe5r7/PuENv0xyc3Np48bNFmerL12abnFSDhyJoUOH0ejRY2RV2B2GFScwQTI2doS0DExsHD58OA0bNlwaby0QkxrRT2W/ily9epX2fbSXPv30M2rbtg3hWPa2Gfl79epN6elLzapbs2a1mHw5YMBAszgEHDpUSKNGjZK+SUY83jQveOcdaV4E3igtpccffxzD0sR3tYQlxSW0YMFC1XrU8nlbOCZcYnLnjRs3pA+z+/d/TO3atZPa2htYLVjwDmGCt5rce++9tHz53zVfr3D+gansFyzY4MjRw1RY+KnmFWrU9OJwJsAE5AQ8ZngGhmVcv36d/P395S2t4KFjx46jt6a+JRwNQ1VxIXx7xgyy9FbMML2nf+/Tpy+9t2Uz5eflmTV1xvTpdPv2Lc03ILMC/hfw0ksxFuvAm9K2bduqZRfhWAIKDiDsZyoIW7dunVgmyjTO0WMsu3fhwnkpHzDDTRVLgdkr0dFD6I2JE+nixYtGRaBNoxMSKC4ugZ54wkd84ti0/ciH/ChHJtANOsrsiwcCtM3S0oJ+fn50/sI5M/2UulavXk2BgYFi+M2q1auVYKNP6Lj5vU1WbWyUyUsPfHx8KTi4PU2bOtWMADimpaWq2tosgwcG4Lp9//33q7bs0UcftdifTTPivElLWyTt37ABbAGbsDABJuAaApWSk5OTXVO080v9/POjdPDgAUpIGE0PPvigUQUZGUvpn/+8SsnJM4zC3eWgadNm9P33P1Bi4hv022+/0Z3bd8QSWa+99iq1at1ajL90l7a4Uk+scdqhQ0caFfcKFV0oItLp6IsvjtPChQvp88+PUGbmcvrrX//qkAqPPFJdvCGdMmUy/fTPn+jXX3/V13HhwjnKyXlXrLVqqRIMM8A49VVZq6hjSIj+LRzevr4yciQ9+WRdiouLt1SEXXHg06pVa8Hn2OfH6Lfff6PLJSU0d84cWpO9mt59dyNBN3sFeWvX/qtY3krppwUFeygpKYn+8pe/0IwZMwQbvKXPy8+jv/99Of3xxx365eYvoj8nJU0kXHK6du0qVcHQvtAfx7Bv6sKF9O67ObR6dbZF/ZEeb7fj4+MpKCiI6tSpI+qB8w4GcKhnzJhJON/WrcsWfei555/XOzb4VScycpC4xnTtqj7MQ6q8lwa2b99B2HnlypVieUHYes3q1fT666/S3Lkpqrb2Blzojy+80JnwwIehS4pUrlyZMFRq/focm65XyvmHPlr631JCOTj/JkyYIH7ZysxcZvXapOjAn0yACdhO4B7MfrQ9W/nkUDY3wTrNmPSniBKOC3RUVLQS7Jaf+HkZGwRg3KmfX3MKDQ3lN14SSyqL+x85ckT0Bbw97Ny5i1M3U8BPz/v27aPPPvtM1IGxtmrDBiQqiqBZs2bS8uXL6PnnA+kvNf5Cewp2i7ewY8aMcaqupvUb8kFcq1atxBtmZ202ATaYyAg2+HXn2Weflb4xwwY0X3zxBZ0+fZratGlDffv21fQmzFH9sZZtcvI0atiwEf2//1eT9uzJJzh3cCoUBqgDa0l/8MEOMXHx5//8TBcvFtH48RPsHr5iagdvOoZjiEmm+NXPFlt7AyP0tXXr1oqhZQ8/XIW6dOlK+NVM6Yu2MjA8/zAJ3p5rk611cnomwASI3NJpNjUcfpKKjo5WndVvmp6PmcDdJIAbprIpB4YP2HujvJs6e0pdeAiF+Pr6qDrrcECUFQesDbvxFC7cDibABJgAE7CdgFs5zbY3j3MwASbABJgAE2ACTIAJMAHHCXjMREDHUXAJTIAJMAEmwASYABNgAkxAToCdZjkXDmUCTIAJMAEmwASYABNgAnoC7DTrUfAXJsAEmAATYAJMgAkwASYgJ8BOs5wLhzIBJsAEmAATYAJMgAkwAT0Bdpr1KPgLE2ACTIAJMAEmwASYABOQE3C7bbTDw3vQ6dOn5K0hItM1nFUTVtAILJG1fXuuWOsUa1FjnWZb1wauoE1zqlpYJiw7O5u+/PJLUW5YWJhD657KlEMda9euo7Nnz4joLl262L3WMcrCpil3a7k5LHOXnb1GrKMM5Z29bi76aW7u+1RSUiLWsO7cubN0p0Gsl1xQUCB268TGDL1799G07riz7AsO//3vddXl5hS73237KPV60qe9tvYkBmptQf9KS0ujM2dOiyRYpxm7Bdp7PcD5t2LF3+mHH76nKlUepj59+tBLLw1Vq57DmQATcBIBt3zTHB7ek4qLL0v/DDc9cRKju1YMNlqIjx8lFqqfODFROMwZGRkUFTX4rungDhXh5tyjR3exa2JCfALh7+SJkxQcHKRfD9nRdqCOoKC2dPvWLYItXop5iQ4eOEg9e4bbVAe20u7Qob0oC/q1aNGcFi1Kc1Q9i/mxJjTq+s/P/xFswAffwUxZL9piAVYiZ8+eTaNGjRK77YFN7169KWdDDkVEhItdyZAdziqOEY54pMPufMiH/JYEOpra99K3l2yyL5yKgAB/at68meDfsGF9+tvfynZNU+qGjth8BjZBfWVpg2nv3gIlCX9qIKDYeufOD01sPVLsAqmhCI9OsnZttuiDmzZtFA/5eNDHNaBly2fsOh9RXnR0pNgJEGVhp1xs5NOmTSv9+efRQLlxTKA8CWBHQHeSHj266+LiRrmTypp0TUtL1fXv109XWlpqlB7HCJ85822jcG89KCkp1vn7++nydu0yQ7Bp00Zd+/bBuuvXr5vF2RKAOnx9n9AVFRWZZUtNXajr2TPcLFwWMGvWLF1oaIjuxIkT+mh8hz0TEyfqw5z5BW1X4wNmiHOET0HBHl1AgL+Uzfhx43RJSYmiOfjEsamAKfLn5ZnbD2mdof/WrVt19erVFTaEHQ3/WrcO1KsUHR0lbHHlyhV9WBkjf92WLe/pw/iLZQLgOD052SwRbO3v768rLCw0i/OWAFxLGjSoZ9QHDftjs2ZP24QCLNX6NsoNC+tiU3mcmAkwAdsIkG3Jyz+1pzrN7du3M3KuDEnjpg5nh0WnW7x4kfQGrbCBQwrn2RGBQwvnWE1CQjqqOn1KnjNnzgibGTpkShwehFzlTKxevUo3IjZWqcrsE3FIY68MGRItfWBBeWgXbtxHjhwWn6YPgEqdcExRjkygm8zZVtJq0b9hw/qqTgocjvT0JcIpxgONTEc82Dj6cKHo6+mfZf3cX8oRbce5OHp0gqdjUG3ftGlTVfsizhX0R1uuVxER4RbLq1//SR1swsIEmIBrCLjdjoAY01y3bl3KzFzm0Av6unV9HMrviswYcqImbdu2oe+/V49Xy+dp4TVr1qL0JenULjhY2rRVq7IoK2ulGGsrTaAhsH79BrR48RIKCAiQpk5LS6WFCxdI45RA6Dl06FAaO3acEmT0iTI2b97kkJ5GBf7voHHjJhQVFUWxsSNk0aJO1I2xyPbKl19+TVWrVpVmHzZ0KO37aC91Cn2B1mRnS9PcuHGDmjV7WhqHcc9gpjaOH/bNycmh8+fPSfNrDcRQkbdnzKSwbt2kWfr26UPHjn8ujeNAYwJdu4TRyqws48D/HV28eJHCw7vTL7/8Io3nQM8nYOm+5vmt5xZ6GgG3mwgIA+zc+QHJnN74+ASaNGmyJhtVtBNZ1h7Dhty8eYN27conPz8/w2Cv+56QEE9wutQE4ysHD46kV199TS2J1fCYmCF0o7RUNd1/r/+Xxo0bL/7UEmVmZNADDz6gFk1Nn25K9erVp0OHPlVNY08E6rUkpaWlFBHRi5KSJllKphqH8b83b95UdZr/W/pfmjYtmXbu3KlaBvLXqFGDTp0qm2BpmHDSpCSCjpakf7/+FJ+QIE2CscyDBg2QximBTzzhQ0899RTVeewxJcjsM6JXBHXo2MGijc0yeWEAeGetXKnacpyrTZo8Tbm521XTeHJEv359xZhjS23EA25y8nRLSfRxfn5NLZ4flStXpg0b3tU02VZfKH9hAkxAMwHNEwHL3vD6UE7OBmnhiPf3lzt0169fF5N4MjMt39ClBUsC1SYCanWYJUWWexDeaubn5Un1OHnyJNWo8Revd5gBp1WrVrR582YpJwTm5uZS48aNVeO1RKCOrVu3SpPCCXhvyxbq2jVMGq8E3r5z2+KknK++/oqCgoKU5E77rPVoLVq/fr1qeR/u/JAaNmyoGm8tokOHjuKhVZYObxUxKalbt27iE8cywUMvypFJy5Yt6dChQlmUCEPb0EZLct9991mKpgcffECsWnDlxx9V04FTs2bNVOM5ooyAr68P7d6TT1evXpUiOXbsc2ratKk0zhsCX3jhBYvNhJPbtm1bi2kMI1u3bmN4aPb99u3bBJuwMAEm4BoCmp1mpfo5c2aL5aOUY2ufcJijoiLFEmrW0npz/Jgxr9IbEyeSqaOB46FDYyg2Ntab8ejb3q9ffzp/4TzNmG78ZgbOLMKeeOIJCguT/+SuL8TKl6FDh9Gegt1iKINhUtQx9vXXKTi4ndUHmL59+xKGEpjaE+XBwUBcSEioYfFO+Y5hDQ8/XMWMDwoHn99+/1V16IMWBfBrDmbqHzp40Cg52pQ4cSK98cZEwptcfOLY1JlCPuRHOTKB/v/85xVV/dE2taEbKA8OyD333CMrWoRVqlSJXnxxAHXq1IlS5qVIf7XAQ+r5C+eobVvnP9SoKuamET4+vhQXl0CjExLMWOIlAIYCjRkzxk1b57jaMTEvUbVq1VRfRa7mAAAgAElEQVQLatCggU3XqxkzZpDaQyH6Npaeg01YmAATcA0Bm4dnwAmOj4+jnJx3rWqEt9IZGUvFkAnkYVEnAEcPP1v37dubunTuSn7N/ehyyWVambWCJkz4Gw0bNlw9sxfFYF1TjGfH8nyhoSEUExMj3ujiDTMc5oyMTIdpoI53390o+vnGf2ykHuE9RB1YPs7PrzktTE21WgduXIMGDab+/ftSdvY6/fhoOGTjxo2lwYOjrDreVitRSYCfZ/GgCj69e/cWqcDn4Ycf1nTeqhQrgjE8aPXqNRSfEEetAltTULsg0U/f27JZtEkZFoPP0tIb1KXLC/Ri/wHk4+sj3iAfPXqY0tIWWWw77BsXF2e3/vPnL6Dx48fSnTt3zJpSu3ZtGj26zIl7773NhDHYKfPm6d++w9HDwyt+Lrd3DV2zSj08YPLkyeJ8DApqo7c13tTjwWP58hVe7cShD23a9B4NG/YS/fvf/ya8CYbgDTMc5q1b37epd+C6sn59DsXERIv+rfRxlIeH8MWL020qjxMzASZgGwHNEwEx/KK4+DvC0Ag4w3PnplBUVLS+NiUem4tAsAEJbtyKc414DJ9Qe8OkL8jKF5TjjImAVqopt2iMyc3Pz6MffvhBjBvFph385kBuDnD6+uuv6Y8//hDDJVwx3tvROrDeM962Xbp0STSiXr16YpLe3XgIUnRHxU8//bRNb7TkxP8M1dpPsalDfn6+eAv5+OOPCx20OqOK/rAvhkrY8gsCxtqOG/e6OI+g9f333y82v5k6dZqRM7xkyWKxScS1a9dE4zBMCr/62FLXn1S8+xvW1969O184hJhoCYZabe0N5NCfjx8/Tg8++KDD1yvl/CsqKnJKed7An9vIBJxBwGanGU4xNk7AG+edO3cJBxaKmDrNiMcfHFw40M50mi3tCIi3VHDsWZgAE2ACTIAJMAEmwASYgLMI2Dw8AxWXvWWOFD/JKW+STRXCznyu2J0Pu06xMAEmwASYABNgAkyACTCBu0nA5omAUC44uL0YmnHw4AFy1ooYd7PRXBcTYAJMgAkwASbABJgAE7CFgF1OMyrA22Z//xZiol9xcbEtdXJaJsAEmAATYAJMgAkwASbgVgTsdprRykmTJolxy1jJgIUJMAEmwASYABNgAkyACXgqAYecZgzTwGoYGKZhaXKep8LjdjEBJsAEmAATYAJMgAl4BwGHnGYgwjJyGKbBwgSYABNgAkyACTABJsAEPJWAXatnmMKYO3euWFLONNwVx9iC19JGKVgSzxWrdriiLbIysYHGvn376OOPPxKL1QcGBhJ2qOP1To1pYR3eDRvW0yef7BdbjGNLauy+5cy1mg3rqF+/gdgOGLub2bpuNtZUxRq2EOh3N2yJ+pYuTaczZ86Ielu0aEHR0UNs2rLXmLjxEdaf3rZtG+3f/zEFBDxDbdq0IWxoYtg2tBvrIH/22Wf03XeXRDrslIhdHa2Jwv7UqVMiafPmzcWmJLbaF+VAsLWwmt2wlnRJyWWR7m7ZR1TmQf9g65kz36Zz587Rt99+Y5OtPQiDalOU/uys65Vy/p08eYJwbWrSpAm9+eZbRuefqjIcwQSYgP0EdG4mH3ywQ+fr+4Tu1KmTbqa5ZXWvX7+u69mzh65/v366gwcO6K5cuSI+R8TGinDEs5QR2LLlPZ2/v78uK2ulrqioSPzhO/pFQcEep2BKS0sVdeTt2iXKP3HihG56crLO399Pd+bMGc11zJo1S+gVGxurwx90RJgr7VnGx8+MD3RHnKOSmDhRFxoaogMb9FOwGT9unK55cz9dSUmxKB6fqA/hiEc6pEc+5LckavqDnVb9V69eJerv27ePDucQdImOjtLrh/phg6ioSBGHNEiLdLA9i3YCOB9ktg4J6WjV1tprcd+UZf3ZedcrnD9ga3r+wQa2XJvclyhrzgTKjwCVX9X21eypTvPixYuEUyWjAscjKSlRFuV1YYozBmfZVHATwY3DUYe0sLBQOMyW6jCtW3YcF/eKeAiCw6gIvuPBCM6aK0ThA0fVVNAeOJ6KY2sar+UYDgD0Ly0tNUuOhwo4phB84thUkA/51Zxf6AYdZezRJtjXmv5lDrO/cNaV+lEv9Gnfvp3oH+gjeEhFmGFbUC/0w/nIoo0AOOKh1VTAFc6dmq1N03visXI+yvqzPdcrsARTwz6rcIMNYAsWJsAEXEeAnWbXsbWpZDgDsgsrCoGjBUeCRSfe0qamLlRFgTeGmzZtVI3XEoE3OTInQMkLpyovb5dyKP2E4x0Q4C+9uSnOhLUypAVbCYTDKHNWlWyIc8Qh7NkzXPwCopRn+Il2oR8fOXJYfMpu7EiPX1JQjkygmzX90UY1gTNs6VzCAyjqQBl48y8TnIeOPlzIyvXEMLzZxK8HagLHcMiQaLVojw/Hr0rOvF6BJZiqCWzBb5vV6HA4E3CcgFPGNNs/OKT8ctat61N+lavU3LBhQ2lM7dq1qWnTZlQRdZYq7MLAmjVr0Zo12ao1BLULouXLl9OECeNV01iLwBjByMgo1WQ9wnvQyJEvq8YjwtfXl4YNG05Vq1Y1S4ewmJgYmjp1qtVyzDJbCWjcuAlFRanr7uPrQ8uWZdL8+fOslKQe3S44WBqJdrUKbE39+/ejrl3CpG1HRuQ/GXVC2p/r1KlDb8+YKS0fgdB//fr1NHXqW6ppOoW+QGrnUr9+/WjylMl0+/YtmpcyX1oG8g54cSAFBbWVxnOgMQHYWk2eefZZen3sa1Jbq+XxpHBnX6+qVKlC77yzQBVRg/oNqHt3dXuoZnRhRHFx2XwBF1bBRTOBu0bAbZ3m8PAeZpCwxbbWlTwq2okMh/jGjRuqjsaPP/5AhYWfqk5mMoPhoQEJCfF0/vw5CggIkLYQE5J69+4tJqVJE2gIHDIkmm6UlqqmvFxymaZNS6YRI9Qd58yMDHrgwQdUy6hWrRo999xzlJFxRDWNPRGY/GdNMLF09Ogx1pJJ41u0aE4XL15UdUr//fO/BZudO3dK8yMQ+WvUqEGnTpVNUjRMOHfuHPr+h+8Ng4y+w76YTKimPyZcZa1caZTH8KBqtWr05JNPiiB8VxPfur40btx48aeWhsOJwHvBO++oorhy5Qo1afI05eZuV03jyRFarlcRERH0+ut7NWHo3bsXgSlepMjk2rVrtHHjZqdN+JXVwWFMwJsJOLzkXHnBg4MMx9fwT6vDXF46W6q3Y8cQ2rRpozRJfl6ecDLUZv9LM3loYGhoKGVmZkpbh4eOVatWU6dOL0jjtQZ27tyZVq1eLU1+9epVem/LZgoLs/w256EqDxGcazX56suvxGocavH2hrds+RytW7dOPICZlgE+iGvUqJFplObj8PCetGOH3AE6efIkXbxYJB4mioouEI5lgvwoRybPPvusRf1zc3MJbbQkF7+5qBp95ccfMSRNrDKAhy81OXjgIDVr1kwtmsP/RwCrjZy/cE48CMmgrM3OplatWsmivCIM15KN/5Bf18uuV1nUuXMXzSywSgaYygQPo7CFrSvMyMriMCbABFQIOD7C4+6W4KkTATEODeMoTcerYfwnVopwxfjXu2s559Umm8ClTLCztjKDFi3UJokpdWCcojWxNKHN1WNmMcnQdLIexhdjPK8yUc+a/mrxysQm03HjZZP0/PWTvjBhCf3WdEIi8lmbzAcdoavhmGh8R5u0TKBs3z5YOq4dZSgT0yyNOcc5iDJYtBHAaiMYv286JwPzAmBrRyfmatOi4qZy5vVKGbNvOucC7GEDXvml4vYD1swzCNyDZqj40xUyWFmn2ZahGBWyIRKl8FNnYuJEqlSpEjVs0JB+/s/PhDd2qalp9MILnSU5vDMIP9FjrW7sQokxtJDde/IpLi6BJk+e7BQoqAM/rZ46dZpaBQYSTpI9e/Jp1Kg4mjLlTU11YC3V5OTpNHbs6/o3q1in9e23Z1Jy8jRN6xVrqsgkEXSfPXsW5eRsEGOLEX3k6GHCDp5z56Y4vJYr1oCOjx9FlSvfRxhDiZ+E8YYLbTVcg7ms/dOo8VNNxC8l33z7jRhLnJm53OLbMOiflJQodho1tG9UVDRNnjzFqv7QLzJyEMXGjqCIiF7ip+yTJ07QW1PfEm89wQCCOg4fPkxJiUlinPXNmzcJ15e0tFR6992NFnU0Qe71h4sWpVFW1kojWz/8cBWaO3ee13N09vUK/TspaSLdvPmL0fmH4WKvvz7W6/siA2ACriTATrMr6dpZNpxnRdq25clICgvTT8NNKSxtXmGaz5Zj3KBw04PYs/EFbIlNWLZvzxVl9OrV26mbjFhqi6v5aGEDdkgHwcYntvx07Ij+yJuenk4ffrhTOPUYAz98eKyRUw+dlE0isEkLxllj2MiQITE26WnJBt4U54itvYGTI/1ZxkfL+SfLx2FMgAnYT4CdZvvZcU4mwASYABNgAkyACTABLyHgdk6zl9iFm8kEmAATYAJMgAkwASZQgQi47eoZFYghq8IEmAATYAJMgAkwASbg4QTYafZwA3PzmAATYAJMgAkwASbABBwnwE6z4wy5BCbABJgAE2ACTIAJMAEPJ8BOs4cbmJvHBJgAE2ACTIAJMAEm4DgBt3SasZZqVFQkYetp5U9Zt9dxJFwCE2ACTIAJMAEmwASYABMwJuB2TnNmZobY2KJ9+/b6LbRPny5bBzY8vIfYEMG4ie5zhHVOseFCixbN9Q8DkyYlEdb3ZDEmgPV1O3QI1nOKiAin/Pw840QOHmHDBtM6DNfQ1lo81lNNTV0o/pQ1i7XmtTfd3r0FFBHRU88H7UCYMwT9dMmSxUb9FBvBmLYNxwhXHmzRr5EP+a2JuX172qw/zhtsuAH2lvoG4pAGaflcs2YZeTxsPWbMaLtsLS/Rs0LXrs0mf38/PZ82bVpZ7JOWWo/zB5sjNWrUQF9e9+7dzM4/S2VwHBNgAnYScKeNDU+dOim2mt6wYb1U7R49uusiIwdL4yp6oLJ1M7YPxnbNEHympi60uu1wRW+bs/XDVtmhoSE6bDGuCLY+xrbN2L7ZGYI6sG2zsg00tmAu2wJaex2wKbaEhl7Tk5OFLbGNM8JcubUwttIVW6/v2qVHAT7YZnfmzLf1YfZ8UfrpiNhY/bbJYKNsmYzt4CH4xBbKCEc8BFv9Ih+2FbbUfugIXWX21bpNMLY6R/04n3AOwZbYGlvRT9Gxfft2YmttpIGNkAe2t6SfaAz/0xPAluS+vk+Y2RrMw8N76NN565fhw4fpnnzSVzACJ+WvXr26uuzsNTZjadu2jQ55lXIMP2ELFibABFxHgFxXtPNLxs0MjrEnSlJSorjBy9qGG3pUVKQsyuvCcFOAQ6g4YoYA4JThBlJSUmwYbPN3OMdwbmV1wImGY6XFqYLDAEfMtByEwXF0haDt0A8sTAVhiDN0HE3TWDtevHiRLjY2VpoM3OCEQvCJY5kgP8qRieJsq+mvxb5wmOGwKQ+fSj1lDz1+on/AfmBhqiNshby41rBoI4CHEVOOyKmwXL16lbaCPDAVrldqDq7i7NpyvUpPX2KxvGbNnvZAitwkJlBxCLjV8IyDBw9QcHCwne/UK3Y2jNOemJgoVfLll0fSgQOfaPpZW1qABwV+9NFHFBs7nKpWrWrWqoYNG9LLI0ZSQYFjwxBQR0JCgrQObMfc+KkmVn9axU/+N2/epKnTppmVg7CbN3+hzZs3mbXB0YBt27bRi/0HEFiYCsJiY0fQvn17TaM0H0Pn2OHDpekHDBgotqzesWP7/2fvXOBrurI/vpTWtF6dMtUiiiglIv0jnkE8gyT1KppXSTAkaD2mhE4JJRLqUSXakYh4pFWinq2MKCq0pVVvpXTa0Ja2M2UwnWnp/X9+Oz3Xybn73HvuK3LvXevzSc45+7n2d5/HOufuvZfY4lgmyK/X9r170b/DdfVH/6KNeoLhFa+/nkHLMjKoZs2aJZJBH7CBe+2cnFXUo3tP0uqI82pVTo5wv81DNUrgkx5guFL58uUtOCIxWE6YMIF273b8fJNW6kGBK1b8jW7fvm1V4/z8fKvx6si33nrTank///wzOTKETF0H7zMBJqBPoIJ+VNmLuXbtmoVSmAAIg1MtGONcrVo1dZDFPsZZljXRPuQV/fDwaR3chpo1a6oE+ey2evUatGpVjm776/jVobVr19L06S/pprEV0ahRYxo1arRusj7hfWjSpIniTy+Rn58fDR8+Qi+aYmNjhfGGclwp0D06Olq3yNq1a9P8+fPEn24iGxEdrLy44jwdMyaJevYI0y0F+b/66isxHlObCP2bNjdNG2w+Rv/m5uZa1R91611Lffv1E/2Gl9B56fPN5ap3cL3BoG7fvp06mPd1CFjr60cefZT27dsr7Wud4nwueObMFMKfK+TWrVs0ZMggVxTlsjKKii65rCwuiAncbQIeZTTLDOHly183M8QkwblzU83H1nbK2oUMI/7KlSu6D/tDhz+mkydPU9WqVa01y+vjMDHy3LmzhC++Mrl08RJFRkbS8887/nULk9cuf/edbh2nTp6iBQsWSr+uKTotz8hQdqXbKlWqUPv27Wnfvg+k8Y4G2ppo980339DQocNozJixDlXRqVNHunDhgvRLMAr88h9f0rJlGbRo0SLd8pG/Xr369MEH+y3SLFu2lM58fobCevWyiEMAJkH17duXxo17ThqPr2xZmZnSOCWwVq1aYrdylSpKkMXWr64fTZgwUfxZRHKAmQB44yVMT3AdhYZ2odWr1+gl8erwuLgY2rdvn9U2TpmSbPh67NixA3399de65d177720dm0utWvHL3y6kDiCCThBwKOGZ4SEdKTCwkInmlt2s0ZERNKbb+ZKFcRP2Z07h/q8wQw4oaGhlJGRQTdu3LBghZeOjXkbaODAgRZx9gR0796d0uelS+uAwbdh49s2H0r3P3A/HTxwULfaM6fPUOPGjXXjHY3o2rUbrVyZJdUdzFatyqYWLVo6Wjy1bduWMpYtk+Y/UFhI+NIVGfmU2OJYJsiPcmQC3aCjrH8RhrahjXqCl8pDhw/rRYsXLqSB4fzpp5/optuyZQu1bcuGhy6g3yNgnJ0//wUdO3ZMmjQ7O5uCg4Olcb4Q+NRTfalCBf1vU4jDS6BR6datu9Wk5cqVs3lvsloARzIBJmCdQNkZXm1bE2X1jO3bt0kTZ2QsExPBrl69Ko0vy4HKBC71agPQV5m85MzkrbLcbkd0U1a2UE/0wgQ9rKjh7OoQij6YxIeVHrR1YBKikYlNykQzrFqhleKVPoonpGnjXHGs8FFW/kCZ2HfFBDe0C5P8tBMci8/TQNPOncXtxRas1BPEMDEM+ZDf2kRKRX/1ZEB79MfqJKhHK8UTIQNNmJxVPKFUPmES12BERLg2Ox/rEMCKNdrVWtDXWLnE1kopOkV6VfDgwU9LJ+9hRY1Jkyba1VZcN23aBEtXzsCEw02bNtlVHidmAkzAPgIetXoGmqYYxqmpc8wt/frrr02jR48SNxJPnvUOwxgPfMyqjh82TGxjY2OcWu3ADMnLdrD6AlY/CA3tJP6wb8SYNYoBDycY4OiL/v37ibqwSoA9S9opK0HAgIPRhz/sQ1d7yjGqszqdjI/eihXqfEb2wSYxcbSGTQdhiKrzwzCFgYz2giFYIp81g1nJL9Pf6HJzeAFFvXjpwbJ14F68JF6gSV1GsbFXvCwe0iAtDD3oyy+pSk8Y2+IlSdvXWBHISF8bq8GzU8E4btCgnqlhwwbiz9+/vgkrYTgiYBobW/yceOKJRqb69R8zNWvW1PzC6kiZnIcJMAFjBMohmfVv0WUvFhP/tm/fXmICYHh4BEVERBC2ni4YtwlnAX5+dahOHT9Pb45b9ceYSvzcHhAQ4LZ6nKkDKzDk5OTQ2bNnhX5PPNGEnn02rtT6VXE44g4+Rs9TMLh48ZLoI3vH5DuqP3TbvPkd2rVrF+EnawzH6Nu3n8VP1+jbLVs207fffosPCNS6dWsx5ttePd128nlYwUpf85haecc5cy+RlYjy+DkhI8NhTMA9BDzSaHYPCi6VCTABJsAEmAATYAJMgAnICXjUREB5EziUCTABJsAEmAATYAJMgAm4lwAbze7ly6UzASbABJgAE2ACTIAJeAEBNpq9oBO5CUyACTABJsAEmAATYALuJcBGs3v5culMgAkwASbABJgAE2ACXkCAjWYv6ERuAhNgAkyACTABJsAEmIB7CXiU0Yyl5uBu+tq1axZUrMVZJC7jAVi2CUsJYctinQA44c9dgqXLUL6y9Jm76nFXue7kY5QN2EEPpLdX3Km/vbpwetsEnOlr26V7fgpXns9Grz/Pp8YtYAJlh4C+f8+yo6PPaIIHTlraXNq3by9179aDPvn0MD344IO0fPkbbl2H2NMA42Hx2mtL6I03XqdWrYLpp5/+Rf/85z9p+PAR9Pzz413SHNSRmjqHcnPXlahj4sRJNGxYvOE6UE5+/k768YcfRZ4af6pBYWG93O4SHXxWrPgbNWz4uKgXro5HjvwzjRv3nGHd9RLiZW7KlCm0f/8HJc7TF1/8q2ibkg/tnjNnNl29epVatQymgt27qGPHTpSenm5znWpX6I/6z58/T/eUu4fg1hzu0bXrnqN/Nm3Ko5//8zP9ZvqNGjZsWKINSlt4a53A7t0FNHPmTCpf/h6qX6+B6OuYmFiaOnWa289165rd/VicY7NmzaS3315PlSpVEi7msSY47lfgY6+gvLlzU2ndurXi+vvHV1/S7du/0YwZM8iWm2176+L0TIAJaAgY84FSNlLBfTa8isncZFuLKxvaW9eC3Whb56OOjYoaIlxCa11cw030nDl3PEWq89i7Dzfa8A6nrSMoqKRXOWvlwqscvKQlJCQIj3TwSod9eBZ0p8c5mRtqtMNVbrSbNQuwcKNd7Br8jhvtgoJdUtfK8IiI/NY8xSn6q9nDBbZR/VE2PGuGhnY2c5d5Yix29R0g+hl9gz/kQd9b089an/tinOJGGx4VFVFcprMbbZMpLKyH1I023F6PGzdGQWZoi/MSTHE+g7EiYA9X5u72NKrUx1sm4KsEPMqNtjXD2FqcJ3Qu3AvjoS2Tt99eb4I7bRaTCSxg2KgfGAoXGFlwgYwXEGcEDx4YaDKB8YYXNyN1wGCW9SnCYDi7wzCD62o8PGV8EAajH2kclRde+IswMmX58eBGuyDYqo0odXq8jKAcmUA36KinvxEX17iWUIe2DLjKRt/hhUV5SYWxrxUYJDC6WYwRQJ+ArUzgytxV7ttl5Zf1MNyv4OYa553sD3FG7iVKO8ESTGWCPkBfsDABJuA+Ah41plnzkdyrDrdv30aDBw+RtmnQoMFiyAZ+lvN1OXLkCCUlJVHlypUtUNSsWZOeHjiI8vLyLOLsCSgoKKCRI0dKs/j7+9OgpwdTfn6+NF4J3LDhbXr88caUkDBcCTJvEfb4443EsABzoIt2jhz5lBIS4qV8wAxDS5DGUfnoo48oacwYafYOISFUoUIFysrKFFscywT5UY5MoBt0lPUvwsDu/fd3y7KKMAwdKSzcTzNnzbIoIygoiFJSZtKaNatp9eo14lwJ69XLoqyJkybR8eMnPHYcu0WD3BiAMboYAgS2MomPj6fDhw/LonwibOvWLWI4hl5jb926RWvWrNGLtggHSzCVCfoAfYE+YWECTMA9BDxyTHNgYIDTNDChsKyJzFBQdGzSpCk1a9ZUOfTZbfXqNeiZZ6J021/Hrw7l5ubSggWv6KaxFdGoUWN65NFHdZMFNAuglJQZNHNmim4alBEdHa0b36tXGC1evIimT39JN40jEbbqrV27Ns2fP4/S09McKV7kwYuDnjSo30Bw6dkjTC8JIf9XX/1DTOrVJkL/TpumP86zatWqon/RBj1B3XrXUsuWrUT+X3/9lZYseU1aBPI+PXAg9e6t3wZpRh8NtNbXuI727t0j7WsfxWXR7OXLMwh/RmX+fP1720N/fIiGDBlktKhSSVdUdKlU6uFKmEBpEPBIo/nEiVNUrVq1EnywekZi4ugSYdYOytqF3Lx5M7py5Qrha6lWbty4QWfOnKaTJ0/7/KSa1NRU2rPnfd0vW6dOnqKoqCgxyUbL0ehxUlIinTt3VreOd3e8SwsWLCT8AqAnyzNsPwQ7depMc+c6brzK6sYEuksX9R9S33zzDcXFPevwhMBOnULoQGEh6X1FPnT4Y1q2LINefFHf8EX+evXq0QcfFFo0AfpDRz1B2/r27aurP76yZWVm6mUX4bVq1bIar0TOmJHi1HmklOPNW/CeNm2qbhMvf/cdde4cSmvWrNVN480R+NWnoGCX1Sbac57FxcXS+S++kD4nUMmFLy/Q+vUbqF27dlbr5EgmwAQcI8DDMxzj5vJcvXr1pnnp6dJyFy5YIFYdwFc2X5cuXbrQypXZ4gVDy+LChQu0YePbFBbm3BdCGGUZGRmElxWtHDt2jM59cdbmCgtYJePAgYPa7ObjnTvzqXHjxuZjV+3079+fMrNWEFhoBWErV2YR0jgqeFFYmZ0tzY4hKY899hhFRj4ltjiWCfLrvXBAN+iopz/aZk1/P786BMNd1nfQ5dNPPyEYzfjbsnmzTD2Rd2NeHrVty4aHFJAqEMbZ7du3SdbX6INFixZZ7S9VUV65ixVrypcvr9u2e++91677Vbdu3QRT2fmNPkBfsMGsi5sjmIDzBNw3XNr1JVub7GctzvWauL5EZVY0JjBhshkEE9tw7IrJba7X+O6ViBUyMBlQmWiGCV/K6g2umj2urOCgrgOTetAXRupAf2IynGwiYLGu1leQcIYu9MNkQPUkN4XP4sWLnClaTF7E7H2sAqI+T9FOsFFWBcEWxwhXVsFAeuSztaICdNTT3wh7ngjoVBfbnVnd18rkS0xKw2TaPn162V2et2WIjx8mnQyI1TNyclbZ3dzw8N6CrTL5Esy115/dhXIGJsAEDBHg1TMMYSqdRDC0sNg6+88AACAASURBVKoAjA3MtMY2OXmKW1ZZKJ0Wua8WGE8REeHmGekwxJxZFUKmaXb2SrFknDLrHSuY2FMHjAkYztol59TGpaxeV4RhOTUwUXTHPpaBc4XgPMUsfrRNKR+GqnYVABwjXEmD9MiH/LYEumr1R5uMCMo3suRc8ctF8fJ5MDrw16VLKC85ZwSyJg3O9ZJ93cGnV83Q4BHGcatWLczXQps2wXbdS7Tlya4/9AELE2AC7iVQDsU7/726dEpQxi1bG9Msiysd7bgWJmBJACuewMmGMtzgkUceoQEDBvr82HRLUq4PAfcvL3xJRReLqEmTJtS1a1dd5yaXL1+malWrEYbV6A0dcb2GXCITYAJMgAl4EgGPMpo9CSzrygSYABNgAkyACTABJuA9BHgioPf0JbeECTABJsAEmAATYAJMwE0E2Gh2E1gulgkwASbABJgAE2ACTMB7CLDR7D19yS1hAkyACTABJsAEmAATcBMBNprdBJaLZQJMgAkwASbABJgAE/AeAmw0e09fckuYABNgAkyACTABJsAE3ETAI91oKyzgNruwcD9hmTlvErimVSQgIICXJ1NgaLanTp0iLOkGgSe4OnX8NCmcPyyNOpzXUl7CpUsX6eLvLrXdwcfIeYr+AUNF7PFW5m79FZ146xoC6r6G91Lcu1juEHD1vURdHj8n7nDmPSbgTgIebTS7E8zdKBvrys6ZM4dq1KhBD/3xIbp69apw2ZySMlOs7Xs3dCqLdeLhjBemEydOUuvgYKHi33fl0+jRSTR27FiXvGTAYEtOTqbjx09Y1DFt2jTDWFBOTk4Off755yLPE088QUOHDnWLga8oBT7JyVPEC2Xr4DYiGK6lQ0I6UlpautN88LAGf7gH9m/gbz5PJ06cRMOGxStq0KpV2bRw4QJq9HhjevDBB+nClxeEm9/ly1+3alC5Qn+UsWlTHhUUFNA999wj3Gb37dvPwsUw2rJmzWr69ttv6bfffqOePXtSv379nWZkhuAjO6+9toTmz59HPXqEUTki+vIfX1KlSg9QWto8q33tC3hwLiYlJUrvJY7cr3DODh8eT99//z3dunWLKlSoILYJCcMJzwoWJsAE3EjAvb5T3Fv66NGjTM2aNXVvJaVUOjzNwXOa2vUxqoarVOFS2KA3tFJS965WA09xM1NSTIrLXiiDfbjtHT36z07rBo9ySh3qwuAOGnXAjbcRUdwLQ1e440ZfYh8eAY16tzNSjzYNvOHB/bqWD8IQ54zAyx/0h0txtcBFNs5TeFGEYItjxdW2klZxRa71HqjEYxseLu9f6B8dHaVOKt1H2eg/eGJUuCtuhtVuuBWPgIsWLRR9g7TDExKEp0P2riZFKw2EdzpcF470tbRALwtU7iXa69GR+xXObX//+mbPgoq3TWzhljs11di9ycsQc3OYQKkR8Cg32loq3mQ0w0Wz1hBR2gtDumPHDsqhT29h6OBhIxM8lIKCAk3OGjww+GA8yQR1wGi0ZvQhHwxvYRy/Z+n6Gf2JOCPupGU6WAuDMR4a2rmEwaxOjzhnDHa4dYeRKZPiF7wAEYX24VgmyI9yZIJrADrKBOyN6I8XA7ycaEUx7PGCij/oqDX0kAf6wdBhsU0A5zAMNhlH5EY/vPDCX2wX5KUpbN2v8GJpz/0qPn6Y1GBWjOcGDeq55b7ipd3DzWICdhPgiYBu/IpvT9H79u2l3r37SLOE9eolfgLHT/2+Lvi5fcgzQ6QYKleuLIYHvP/+bmm80UDUER9/Z5iBOh/qeHrgIMrPz1cHW+xjaACGRqDvtIIwlIE0rpbz589TXFwcQU+ZIO6zzz6TRRkKgyv7qKhoadqgoCDy929IWVmZ1LDh44RjmSA/ypEJ3I1DR5mgTYhDG/UEP11jSM30GTMskvj7+9P48c/TunVracuWzTR+/ARCmFYQfuPGTVKP2dam4eNiAuCNIRkyjkjRt18/Onv2rM/iwr1k5MiR0vbjfE5IiCd77ldHjx6VlqUEmkymEnMIlHDeMgEm4BoCPjumuW7dOq4h6MJS9AwdVPHoo7Wofft2LqzNM4uqXr0GxUTH6CqPCUi5ublifKVuIhsR9es3oMpVquimquNXh1JSZtDMmSm6aRo1akzR0XLjEpmaNG0idJw+/SXdMhyJsFUvyty2bStlZCxzpHiRp2bNmrp5q1WtJrj07BGmmwb5MV5fdg0+8sgj9PKs2bp5EfHOO+9Qenqabhprdbds2UqcH8isZ/wjrm/fvjRkyCDdOjjiDgFrvNGfZ89+Lu3rOyV47x7uV6NGjdZtoCvuV+rCMca5rJ23RUWX1CryPhPwaAI+azSXtQu5efNmhK9ssi82V65coTNnTlNZ0/lunPmpqal0+JPD1CEkRFr9wQMHadSoUTRo0GBpvJFATKL79NNPdL+UvrvjXVqxIpPCwiy/IivlL8/IUHal2+vXr4vJncnJU6XxjgZi8l3R10W62S9dvCQe4s8+O1Q3jbWIyMgIOlBYKOV/48YNOvLZp5SXt4mGD08gHMteBJE/KOhJ2rbN8mszJpR9/PHH0i/00Av6x8bGlphwqNYXX4ezMjPVQRb7tWrVEmE3rl+3iFMC/n3t3zRjRgoNHz5CCeKthAC+NI8bN1YSUxx09LPPKDi4Na1Zs1Y3jTdH4H61Z8/7uveSA3ber7p06SyeE3rM7r33Xtq6dbvPT77U48PhTMBZAjw8w1mCLso/cuSfacrkycLQ0BY5Lz2doq18XdWm9+bjZ5+NEysy4AVDK/k7dxJWibBmzGrzyI6xysLixa9KH06o4/sfvrdZR40/1aC1a/UNBcTJXpBk+tgT1r17d9qYt4GOHTtmkQ3MENe1a1eLOKMBGLby0vSXpOfpwgULqHnzIGEkYYtjrcCQRn694S/9+/enzKwVUvZoE/RHG/UES+thJRW8aMpky+bNYiWNxo0b06ZNm2RJRNtQT1iY/tdyaUYfDMRSZ1glY+XKLIvWo6/T0tPoqaeesojzlQBb96vDdt6v4uMTxGoZevzq16/PBrMeHA5nAi4gUD4lJUX/N2YXVODOIjAusqioiJKSxrizmlIpu02bNrR6zWravm071a5dm3766Se6cP48zZw5k4oufi2MuIoVK5aKLmW5kqpVq9Fjjz1GiYmjCDzuuae8MJDeeutNmjcvnebPf8Xph4afnx/VrPkwJSYmUo0a1cVyTjDC/vbGG/TqksWUnZ1DDz/8sFVMMCY2bNhA5784Ty1btaL77rvPnH7WzJn0w4/f0+zZqeYwV+2AD4Y/DB0aR9WqVTPzeffdHRQfP1QsOdemTVuHq2vSpCmdOXOGXnnlFXqk5iN08+ZNcZ6+ungxFR7YT1hODjq0bt2a5r8yj06eOEmVK1US5/Oxo0dp7NgxIm7cuOekOuj1L/QfNWqkTf2R/+ef/yu+NvcJDy/BHS886L9XX11CnTp1pr/+dZpY3lG9njAMvWFDh1Kbtm15mUdpD1kG4leDF16YJM51DMfAtYK+HjMmiXBfe/758ZaZfCTkzvmcSBUr3me+Hh29X4E1Xh7x3MMSiWrBPSYnZ43Ne5M6D+8zASZgH4FymDpoX5ayk9obnZtgchjGbJYrh9VOiVq2bEn4uoCxbyx3COBneEzowhqoEPzkjjVPXengxNk6lPVZv/nmGzFGFnpu2bJFvBRlZCx3a5/iZ3Nl/WGFT1zcs06/UAjYRGISo/o8DQ4OpqFDh5VoE9qfk7OKDh8+LLLhVoMvyQMGDFSK0d06qz9+Fn/rrVwx4RJj0DGkBr8QqNeIRh24h2CdWwz5wNAPfGHu0KEDpafPL9EWXUU5QhBAX2NojTLpD/eryMhIm7/I+Ao+Z+8lWk5Y03/ZsqX0ww8/UoUK5QkvwtOnz+BzVguKj5mAiwmw0exioFwcE9ASgHH2978Xr7bRs2eYywxXbT18XJIAVpvBKicw6Jo2baprwMEAOX36tDA42rZtx/1TEiMfMQEmwASYwO8EPNpo5l5kAkyACTABJsAEmAATYAKlQYAnApYGZa6DCTABJsAEmAATYAJMwKMJsNHs0d3HyjMBJsAEmAATYAJMgAmUBgE2mkuDMtfBBJgAE2ACTIAJMAEm4NEE2Gj26O5j5ZkAE2ACTIAJMAEmwARKgwAbzaVBmetgAkyACTABJsAEmAAT8GgCXuFGOzy8D4WEhNDUqdM8ujOgvLJM1i//+4Xuf+B+4f3MlWsPezwgVQOwVNj58+fFIv+NGjXSXVJMlcWuXSxVhjq+//57UUerVsHUrl07u8q4m4mh+7lz54QKruYDNhs2vE04T3/59Rfq3r2HdKk2LLdXULCL7rv3PoKXRHhrNLrmuLv79272jTfWrfQ11r2G8x97+tobeWjbhPN57969wikT7iPOeC5V7k0//vCj1etPqwMfMwEm4BwB/tLsHD+X5oZjk/bt29HpU6ep4h8qUtHXReIYTgNY7hDAw7lTpxBa8bcVdP/999Pt27cpLS2NYmNjzM5O7qR2bA91RESE0/q31pvrmDZtqt11wKkBvOA1b95M/GEfYe4UPFAjI8MFk0qVKhH+wAdhaJezgvM0JKS9+Ty9dvUaRUUNITgUUQuOEY54nM8fffiRyIf81gQ6Qtf09HTBXtEf/YG2GRG8fCYnT6FOnTpS3bp1KC4uVjhk0ebdvbtAxCEN0iIP8rLYRwDc0NdwYINrMn9nvuhrGIq+LjifAwMDaPToUcIhE1yOw6lO9+5dDZ/PaoZgiusPjHFdgTnYow9YmAATcDMBeAT0dOnTp7cpNXWORzdj5873TIGBgabz58+XaAeOg4ICTdnZK0uE++rBtWvXTIGBAaasrEwLBDNTUkzh4X0swu0NUOrY+d57JbJev37dhDqio6NKhOsd5OVtNOt6+fJlE/6gN/oZce6SiIg+Qk9t+dAdcc7IwYMHRZuOHj1aohiwGThggGnJkldFOLY4RrhakA/9h3JkAvYdO3ZwSv+TJ0+KOtBeXD/QAX3ZpUuoacqUyeZqsY9rC3FIg7TF/RNgQhksxgjMmTNH2tfg6udX23TxYpGxgrwwFc5nf//6ggNYaP/atWtrV6txXqIM2b0J1xv6goUJMAH3EcBbqseLNxjNMGa0N0KlYxRDQzn25S1eHoYnJOgiCA3tbMILiDMye/bLUqMNZcK4gtFry6iCoQDjUPsShDIQ5i5j4u231wvjUK/9CQkJJqRxVMaMSZK+sKA8vBSgXZcuXRRbHMsEhinKkQl0g456AsPXlv4wumVp0Hc4PxBXbPwHWhj1qBfXYceOIXoqcLiKAM5z9Lm1vla/qKiy+sTu0qWvCT5gJPurX/8xu+5XYCn7YACYyvXnyy8pPnFScSPvKgEenuHmL/lGiz927BiF9eolTR4UFCTCXfHTurQCDwo8dOgQDRo0SFfjuLg48zhe3UQ2Ij7//HPq1q2bNFXlypXp6YEDzW6xpYmIqKCggJ4eOIj8/f0tkiBsxPCR9M4771jEORuAMY6xsbG6xXTo0J4uXLigG28rYuvWLRQeHiFNVrNmTcK47507d4otjmWC/ChHJkeOHKFevcJkUSIMbUMb9QRDX8qXr0CDBg22SIK+S56STFu3bqU1a1bTSy/9lRCmFVyHD//pYTGeXRvHxyUJXLx4iXr2CCO9vm7ZshUdPHiwZCYfOtq2bavV1t66dcuu4Vpg2blzqLRM9AH6An3CwgSYgHsIeMVEQEfQYAyjJ0mlSpWpd299Y8KT2uKMrtWr16CY6BirRbz11ps0f/48q2msRdav34AqV6mim6Rqtaq0cOECWrRooW6aRo0aU3R0tG58k6ZNhI7O6Ckr3Fa9VapUoaysTMrIWCbLbigMY4z1pGqVqjRzZgp17SJ/6UA+Jb/sGvTz86MWLVroFS/C8zbl0dy0kuOn1RlgOOjJI48+St999534GzVqtF4yCukYQiNHjtCN54g7BKzxxkvJ9evXxbjyOzl4T00AY5zxZ0QeeOABm8mGDNH/qGAzsxsSFBWxEe8GrFzkXSLgs0ZzWbuQMbENX5uVr8rq8+HKlSt08+YNKms6q3UsrX1Mity9ezd1CAmRVvnujndp/PgJ0i+N0gySQExg27PnfWlfIPmWLVto/foNVlfSWLZsqdVJPjAk+vUbQNOmuXbFl1WrsqlwfyElJAyXtIzE5KGRI/9Mw4bFS+NtBWJC3YHCQumvIjdu3KD39+ymvLxNNHDgAMKx7Esu8uNr2Zo1ay2qg/6Y4CT7UozEBw4cpFGjRunG40tzZmamRbnqgFq1aonJUzeuX1cHl9i/WHSRFixYqFtPicQ+fIBJk3369Nbt63379lKHDh1o6VLHX9I8GW9KygyrBnH58uVp3rz5hs8zTCQGU9kvWLjeDh3+mA4e/JB4xSVPPmtY97JMgIdnlJHegZHz8qxZ4uGjVgk3wjFJSQRDh4Wof//+tDFvA+XvtJyVjyXQvv/he8MPID2ezz4bJ74ky4YxzJo5U3wptbX0XIsWLYVxjf7TCsLWrFlDLVta/6KqzWfkeMCAgeLBKeODMDxUkcZRwfCIFyZPlg7xmDF9OkVHx1BwcGuxxbFWwBT59YaQ2NL/8OGPrS7VFRAQQEgj6zvosjonh4KDg8Xwm+zsbK164hgvqRs2vm31pUia0QcDYZwFBjanhQsWWLQefbB48asUE6M/XMgik5cFjBgxgu677z7dVuGlUu8FUZYJLMFUdn6jD9AXbDDLyHEYE3ANgfIpKSkprimqdEpZvjyDBg7sL76k/eEPfxCVpqWlUseOncTDsHS0cH0tTz75f3TksyOEZc3++9//0v33P0D7939AEydOoObNm9OLL/7V9ZV6YIlVq1ajBg0a0AuT/0I/fP8DYU3YM6dPU9rcufTmm7mUnZ0j1oh1pmmo47HHHhPLOF3/93VzHXPnzqVPPjlEixcvsVkHhhl8/PGHlLsulzqHhpq/uMJgHjZ0KP3xj3+kyZNdv0RUxYoVqVOnzjRq9J/p/BfnqXKlSnSxqIhWZWfTq0sW05tvrifo5qg0bNiQ/vWvf4rxwP/73//M5+m4cWPFl3U80KFD69Zt6G9/e0N89cVPyhi7iWEzycmTaciQIRQfnyBVQa2/0r/Q/9XFi+n1N5bb1B/5f/nlF5o6NZl69OhJDz30kKgH3HGObN+xjZYseY2aNGlKq9fkCEYtW7UyGzYwRiaMH08RkZEUEREp1ZEDSxLo0aMHvbZ0CW3K20TVqlWjmzdvmvsaj5eePXuWzOBDR7iXPPjgg1RYWCiWxlQ3HcZ0Xt47Nu8l6jy4dmvWfJgSE0eRcv0dO3qUkqdMoaKLX9PKlavE9afOw/tMgAm4jkA5TEN0XXHuL+nEieMEZyZwZJKYmEQ7dmwXa17m5r5JISEd3a+Am2vAz8tbtmymixcvUt26dSk0NNTqlzU3q1Nmi8fPwphI99FHHwkd8eDGV0qjjjOMNAx15OTk0OnTp4Ux0Lp1a7vqwJrCS5cupddfz6Aev4+z3bUrX3yFnTbtRZfqqm0P6t68+R3Kz88XUWFhYdSvX3+X1YnzdM+ePXTq1EnBpkuXLtIvZvj6j3TXrl2jgIBmhHS2vtJDYWf1xzAPjDtv2PBxeuiPD4kv7M2bB4n1qpUvcagjKSmRjh8/Rq2D29DVq1fp3Bdnxa8648Y9p0XKxzYIYP1tTIBV+hq/2CisbWT1+mjcSzBs6KOPitdoj4x8iuLinnX4ekR5q1evMV9/3bt3d+oXJK/vAG4gE3ARAY8zmtHu3Nx1NHduqrg548sGDGj8LMzCBMoiATzglBntfn512JAopU6CUaysOIOXKQzdkIm6f5DGlS9esvo4jAkwASbABDyTgEcazZ6JmrVmAkyACTABJsAEmAAT8FQCPBHQU3uO9WYCTIAJMAEmwASYABMoNQJsNJcaaq6ICTABJsAEmAATYAJMwFMJsNHsqT3HejMBJsAEmAATYAJMgAmUGgE2mksNNVfEBJgAE2ACTIAJMAEm4KkE2Gj21J5jvZkAE2ACTIAJMAEmwARKjQAbzaWGmitiAkyACTABJsAEmAAT8FQCbDR7as+x3kyACTABJsAEmAATYAKlRoCN5lJDzRUxASbABJgAE2ACTIAJeCoBNpo9tedYbybABJgAE2ACTIAJMIFSI8BGc6mh5oqYABNgAkyACTABJsAEPJUAG82e2nOsNxNgAkyACTABJsAEmECpEWCjudRQc0VMgAkwASbABJgAE2ACnkqAjWZP7TnWmwkwASbABJgAE2ACTKDUCLDRXGqouSImwASYABNgAkyACTABTyXARrOn9hzrzQSYABNgAkyACTABJlBqBNhoLjXUXBETYAJMgAkwASbABJiApxJgo9lTe471ZgJMgAkwASbABJgAEyg1Amw0lxpqrogJMAEmwASYABNgAkzAUwmw0eypPcd6MwEmwASYABNgAkyACZQaATaaSw01V8QEmAATYAJMgAkwASbgqQTYaPbUnmO9mQATYAJMgAkwASbABEqNABvNpYaaK2ICTIAJMAEmwASYABPwVAJsNHtqz7HeTIAJMAEmwASYABNgAqVGgI3mUkPNFTEBJsAEmAATYAJMgAl4KgE2mj2151hvJsAEmAATYAJMgAkwgVIjwEZzqaHmipgAE2ACTIAJMAEmwAQ8lQAbzZ7ac6w3E2ACTIAJMAEmwASYQKkRYKO51FBzRUyACTABJsAEmAATYAKeSoCNZk/tOdabCTABJsAEmAATYAJMoNQIsNFcaqi5IibABJgAE2ACTIAJMAFPJcBGs6f2HOvNBJgAE2ACTIAJMAEmUGoEKpRaTS6uqKioiEJC2lO1atXoxIlTLi797hV36dJFKigooJ//8zP98usvNHDgQKpTx+/uKVSGa96w4W36/vvvhYYNGzaksLBeLtX23//+N+Xn76Qff/iRbt2+RY0aNXJ5HS5VWFMYdD9//rwIffjhh2nQoMGaFI4fqs9TsOnatRsFBARYFHjq1Cl6//3dVKF8Bbqv4n0UFhZm+Hx2d/9aKMsBThHQ9jXOt6pVqzpVpjdlxvn84YcfUsWKFSk0NNSpewnuTSjvl//9Iu5NetefN/HjtjCBskDAY78079ixnerWrSsY5uauKwssndZh06Y8at++HRV9XUQV/1CRrl29Rn369KY5c2Y7XbY3FYCHc6dOHWn9W+vp/vvvF39paWkUERFOeJi4QlAHXsp27swXfXH79m1CHbGxMXbVgYdk7969qG7dOuIP+whzp0D3yMhwSk9PN/NZvnw5RUZGEOKcFZynOC9PHD9hZhMVNYSSk6eUKBrHCAc7nM+nT50W+ZDfmhT3b0iJ/kVb0Caj+sOonzo1mZo3bya4o+2yehGGctE/SIs8Ruuw1gZfisM1l5g4imJiokr0Na4fGXNfYoO24nwKCGhCkye/QBs3bqB169ZSYuJoca935H4FpmCL6wnXFa4vsEcfOFKer/UHt5cJOEXA5KHSoUM7U0bGMlNU1DPiz0ObYVa7oGCXKTAw0HT+/HlzGHYuX75s6tIl1JSdvbJEuK8eXLt2zRQYGGB6++31FghmpqSYwsP7WITbG3DxYpGoY+d775XIev36dRPqiImJLhGud5CTs8pUr15dk59f7RJ/CEOcuyQioo/QU1s+dO/YsYMJDB2VgwcPCjZHjx4tUQTYDBwwwDR79ssiHFscI1wtyIf+QzkygW7QEbpqBWFomy05efKkqGPRooXi+kH6wv37xXU0Zcpkc3bsh4Z2NqGfoSeutaysTKv6mTPzjpnAnDlzpH0Nrjj30R++Kjif/f3rl7j+1feDdu3a2oUGLJFfdm/C9Ya+YGECTMB9BMh9Rbuv5P37PxA3DmzXrVsr9r/++mv3VVgKJUdEhFvcCJVqFUNDOfblLV4ehick6CIQRtDOksaubmKdCBh8MqMNyWFcBQUF2jQEYHirH46yfaRxteBlAg9PPUlISJC+cOil14aPGZMkDEttOI5hdKKdly5dFFscywSGKcqRSV7eRhN01BO8QMpemNTpO3YMkaZB3+H8QB0w2tGPWqMe5cAggWHPYpuAcp5b62v1i4rtEr0rxdKlr1m9D9Sv/5hppx33q+TkKTavP3fcV7yrV7g1TMBxAh45PGP79uKhGSEhHSk8PEKMa8ZwDU+WY8eOUlgv+ZjcoKAgql69Ov9sTESHDh2iQYMG6XZ1XFyceRyvbiIbEZ9//jl169ZNmqpy5co0oP9A+vvf86XxSuCWLVuUXd1tZmambpyjERh/3Se8j272Dh3a04ULF3TjbUVs3bpFXHOydDVr1qRWrYJp586dYotjmeCaRTkyOXz4MPXqFSaLEmGxsbFijLleAgx9KV++vHT8NvoueUoyvfPOO7RmzWp68cW/EsK0guuw0eONxXh2bRwflyRw8eIl6tkjjPT6umXLVnTw4MGSmXzoaNu2rVZbe+vWLbuGax04cIA6dw6Vlok+QF+gT1iYABNwDwGPnAgIAzkpaYwggomAgYHNCYZ0YmKSYUoYw+hJ8t///o9699Y3JjypLc7oWr16DYqJjrFaBMa4p6enWU1jLdLPz48qV6mim6Rqtaq0cOECWrRooW4aIxErV2YR/lwpjRo1pujoaN0iq1SpQllZmZSRsUw3ja2ISpUq6SapWqUqzZyZQl27yF86kFHJL7sGwb5Fixa65SMib1MezU1L1U0Dw0FPHnn0Ufruu+/E36hRo/WSUUjHEBo5coRuPEfcIWCNN15Krl+/LsaM38nBe2oC9twHcP+zJUOG6H9UsJXXHfFFRWzEu4Mrl3l3CHic0QyD6Nq1ayW+dkVERIhJSCdOHBcGtBGUZe1C7tQphA4UFlKHkBAL9a9cuUI3b96gsqazhaKlELB6dQ7t3r1bygnVv7vjXRo/foL0S6NR9VJTU2nL5s2EL/wywVfk9es3ULt27WTRIgwTyjDhx5rExMTS3LmOCaOjHQAAIABJREFUG/eysjGjHpMXExKGy6Ipf2c+jRz5Zxo2LF4abyswLi5WnKeyX0Vu3LhB7+/ZTR9++BG1a9eWcCz7kovzHF/L1qyx5LNqVbbQUW+ljwMHDtKoUaN0+xdfmhe88opuM25cv061atXCsDTCvp5cLLpICxYs1K1HL5+vhWPCJSaF6vX1vn17qUOHDrR0qeMvaZ7MNCVlhtUXY/wq8vrrbxheSWPs2DEEpv7+/hZY0AeHDn9MBw9+aHiFGotCOIAJMAGrBDxueAa+KEMwe1hZkUCZta/EWW1xGY2EkfPS9JfEw0etIm6EY5KShKGjDvfV/a5du9LGvA2Uv3OnBQJ8sfn+hytOGzrPPhtHmVkrhHGorWTWzJniS6k1gxl5nnqqL91zj/7lVaFCBZFGW76zx1h27/Dhj6V8wAwP1QEDBjpcDYZHvDB5ssUQD5yn459/nqKjY6h27Tpii2OEqwVDQ5Af5cgEukFHWf8iDG2ztrQglr0798VZC/2UujZt2kTBwcFi+M3K7GwluMQWOm7Y+LbVl6ISGXz4AMth4pe+hQsWWFAAx8WLXyW8HPqqjBgxgu677z7d5uOl0tr5rM0IlmAqG2KFPsCQRV6iVEuNj5mACwk4Phy69HNish8mGmHVDK2MHj3KhBU1PFkwYQYraGDWPyb/YcIUJi758kQaWX8qqyNgsh4mbeEPkwMxAcxVM/UxWQyTwVAHVl7A5DNMUMPqDUYn2sTHD9NdPSMsrIesaS4JU/iAiZoP2uMKPpiMibJwnipscJ5iVRFlZQ5scYxwsEM6pEc+WyvBKPpPnDDBIf2L9QsU15ACFBP+0JfK6iHQT1llRD0ZEKvXYCLlkiWvKll5a4MAWGLVGmWSJvoarHGvxnXk64JJp7IVNJo2fcKh6xFMwVZ9/YE9+kC5/nydObefCbiLQDkU7EIb3K1FLV+eIcZiFhYeFJP/1JUVFu6n6OgoWr789RJDN9RpPGEfPy/v2bOHTp06KdahxhdLW181PaFdrtYR65Fu3vwO5efni3OhdevW4guqK50p4KdnTBr76KOPRB3du3en7t172OWw4bnnxtLmzZsJX5YhmPjTr18/mj071a5y7OUHPljPFRMnIa7mAzarV68xn6cYhywbUoHhIkeOHCE4IwoIaEZ9+/aVOkHRts9Z/THMA+POGzZ8nB7640Pi63Xz5kFirW3lSxzqwHq5GNYVHNyGfvrpX3T+/Bc0fPgIev758VqV+NgGAXVft23blvr3789fPX9nhnNtxYq/0a5df6cHHqgkfumIi3vW4XuA+t4EfwV615+NLuNoJsAE7CTgUUZzeHgfCgwMpLS0dGkzMWQDPxXCcGZhAmWFAB6YisMMDB9wpWFfVtpYVvVQHMn4+dXRNeBggCgrDnD/lNWeZL2YABNgAnefgEcZzXcfF2vABJgAE2ACTIAJMAEm4IsE9Gcq+SINbjMTYAJMgAkwASbABJgAE5AQYKNZAoWDmAATYAJMgAkwASbABJiAmgAbzWoavM8EmAATYAJMgAkwASbABCQE2GiWQOEgJsAEmAATYAJMgAkwASagJuBxHgEDAwOER0B1I+BKG2617XGjrc7P+0yACTABJsAEmAATYAJMwBoBjzOa0RgYx1OnTjO3a8eO7WK9VSXOHOGBO1gia+vWLWJdW15/U78D1euUIlWPHj3csk5zTk4OnT592m1rQeu30LkYLHOnrGONksLCwqhfv/4uW+4O5+mbb66jc+fOiXVno6KidNdpxrrj165dE+s0d+nSxdC64+7W3zm6nFtGAC7usSb5f/5zkxo1akSTJ0/RXeZPlt+bw3C/yszMpI8++lA0MzLyKXJ2nWZlnXR8NMIa8s54+vRm9tw2JuBKAl4xPCM8PEK4Dz1+/Lgr2ZR6WXAHnpg4imrWrCkeOFiwPiMjgxQ34aWuUBmtEE4U+vTpTT/96ydKSkyiZ+OepcL9hcK1urIesrOqwzFI+/bt6Pat26KOvk/1pf37Cykioo95zWUjdcDJRqdOIWaX79hHmDsFDLBm+bGjx4TuYPTVP75yGZ+//GUSxcRECQMJLxSffHKYXnjhL4IXjF0IthER4bR8+XKCoQwD6oEH7qdRo0bSnDmzrTZf0R86Q3f8oS1ok9H+hVEfGRlu5t68eTNRr6KfosBrry0hxNWtW0f8IU9+vqWLdiU9by0JgGnbtq1pxozp4lzAOQHjuVOnjgRD2tcFDEJDO9PKlVniBRx80tPTqEWLJw2fz2qGuDfh/ofrCdcV7k2563LF+a49v9X5eJ8JMAEXEHCXq0F3ldusWVNTauoci+Kjop7xaHfTcP0L971ql75oJI7Zre+d7oYLa7hihntorcBdM1xpOyuoA25q4VJZK3APDHe1RmT27JeFa2G4RFcE+3B5O2eO5TmspHFmCze6enzADHHOuNrdufM9qWtw8MJfbGy0UD85eYoJbrC1AqZwFY9yZOIK/QsKdok6cD4ocvnyZeFqHa6zFYmKGiKuLXU/FzMKZPfPCiQDW7iEV/pfu61Xr64JbqR9VXAvkbnQVjjBlbY9Apa4ftTnrJIf96bo6CjlkLdMgAm4gQC5oUy3FikzmtetW2vq06e36erVq26t252Fd+zYwaQ2rtR14YEPY4fFZFqy5FUTHg56ghcMtbGkl85aOAzaRYsW6iYJDe2sa/QpmU6ePCn6DH2nFbwIoT/dYUzg5Wt4QoK2SvMx4pDGUQkN7aRrICmGwKFDH4s02hdApU4YprGxMcphia0t/RMSEmz2L9gW7t9folzlAOcH6sjL2yheXmQ64jp09uVCqc/btzAK69d/zOo5ERkZ7u0YdNs3Y8Z0q2zwUmHP/WrMmCRTVlamtD7lvoI+YWECTMA9BDzOI6BsIiA+uGP8L9xnw422EcHPsWVNioou6arUrl1b+uYb/XjdjF4WUb16DVr62lLqEBIibRl+As3KyqSLFy9K440E+vn5UUbG6xQUFCRNvnjxIlq4cIE0TgmEnkOHDqXx4ycoQSW2KAPDTJzRs0SBvx80atSYoqOjKSFhuCxa1Im6XV2vtrKuXbrRqhz5T/M3btygpk2f0GYRx2APZoMGDZbGo39zc3Pp3Lmz0ngEBgU9Sdu2bZfGHygspMlTXqBy5e6hl/76EoX16iVN179fP/r0yCfSOA5kAneLAO4rGzfmkb+/v1SFEcOH09935Uvj7lagtefa3dKJ62UCjhLwiomARUVFYiJgYuJoKiw8aIhFWbuQbRnxN2/eoPfey6eAgABD7fPWRElJiQSjS08wpu+ZZ6Jo3Ljn9JLYDI+Li6Ub16/rpvv3tX/ThAkTxZ9eouUZGVTxDxX1oqnJE02oXr36dOBA8cQg3YR2RqBea3L9+nXCJKTk5KnWkunG2TpP7733Xpo27UXasWOHbhk3b94UcbJrcOrUZIKO1mTggIGUmJQkTYKxzFmZmdI4BFauUoX8/RuK+EcefVQ3XeRTkdSpcyerfayb2YciwHvIkEFWW1ylShU6deqM1TTeGtmrV08xjtla+/CCm5Iy01oScxzGiduS9es3GJpsa6scjmcCTMCSgFdMBMRX5piYGLHixIkTnjkZEF8183fKJyAdO3ZM9JyvG8yA0Lp1a9qwYYPlmfx7yJYtW8TMfd0EBiJQx+7du6UpYbBvzMujnj3DpPFK4K3bt8RkOOVYuz3z+Rlq3769Ntjp4xp/qkFr167VLefAgYO6X6l0M6kinnzySdWR5e6vv/5KvXr1EhPCrly5YpmAiLDazVNP9ZXGYfIrdNQTtA1ttCZXr17VjcbLkMlkot9++40uf/edbrp3d7xLTZs21Y3niGICfn62f7Fr06atz+LCC6o1qVChgl0GLu4Z+/btlRaJ6w1fmY30ibQADmQCTMAmAa8wmtWtrFbtQfWhx+yPHTuOXpg8mS5cuFBCZxwPHRpHEydOKhHuqwdYVuncF+fETHQtg1kzZ1KlSpUoLEz+k7s2vd7x0KHDaGPeBouXGBjMCxcsoMDAZja/+Hft2k3oKDMcUQ6GGbRo0VJPBYfDMayhUqUHCCy0grDvv7+sO/RBm152PHXqi7JgEVa+fHkxLKR27Tr0wguTaUxSksWvAngBxPCQmJhYaTnQHzrq6Y+26Q3dQIHt2rWjc1+cJQzDkMmiRYuoW7duNGDAAEqfl26hH/JAR5TRrp3rX2pkOnlyWJ06ftSvXz9C38sEvzzMmjVLFuUTYVhW7r777tNta4MGDey6X6G8lJQZ0nsTrrfRo5N4mT9d2hzBBJwn4JFjmqOjY0qs06wMz1DGNTuP5e6UgKWExo9/ngY9PZgCmgXQpYuXKDNrhTBAnBlucHda475asewYluZ7+E81qU94H/FFF1+Ya9euTRkZy12yFnFxHaPp4T89XKKOWrVqibHzVatWtdnA1NRUKijYRYsWLTaPj4ZB9vKsWdTw8YaUlpZuswxHEmCISnR0FGEYRFxcnChizZo1VLlyJUpLm2fT4LdVJ5bQmjVrJv3yyy/mpPhiFhERQUuWLDWHof1vvZVLTw8cRHX86tCpk6doV8HfxU/R1taUBfvk5Ml040ZJ/fFClJv7ps3+3b27QAyreOmlv5oNbLy8vDhtGl35/jJt21Y8dCQ2Nob++/N/aVlGhljmEYrj1x68vMIwsaajuZG8IwgkJMTT3r176NatW+IY58M999xDy5Zl2GUUeiNOnM/PPDNYvKDdvn3bzAcG86ZNm22ez1omWBIRSzwGB7ehDh3ai/sfXsL79Al32z1FqwMfMwFfJeCRRjMcJWgFhrS7jBBtXe48xiL4+fn59Mv/fqH7Kt4nnFLgaw6LJQE8POBcAwJnCs5+YbasgcTEue+//178nI+vx/YOkcGazHigffXVV6J4jGMeOHAgPf/8eFl1Lg1zJx8Y5ij/yJEj4qGP4RYyNjAY8OJw3733iWEV6CMjLxwA4Yz+GGubmjpbfDVGWQ8++CANGfKMGOuu1I825OSsohUr/kbKkI569erRiy/+1S3nkks7twwWhr6GYyZwxTAbe/q6DDbH5SrhfMZ5CcEvIs7cr5TrD/cmvKh0795Dev25vBFcIBPwcQIeZzT7eH9x8z2YAB50isHmwc3wONWNcDeSxuMazgozASbABJiASwmw0exSnFwYE2ACTIAJMAEmwASYgDcS8LqJgN7YSdwmJsAEmAATYAJMgAkwgbtLgI3mu8ufa2cCTIAJMAEmwASYABPwAAJsNHtAJ7GKTIAJMAEmwASYABNgAneXABvNd5c/184EmAATYAJMgAkwASbgAQQ80miGRzGsQwuXvvgLDAyg5cutuw/2gL5gFZkAE2ACTIAJMAEmwATKKAGPWz0DxvHcuanCuUliYpLACiMaYXXrPiacH5RR1obUwrq+cOFcrlw5kT44OJjgoY6XKiuJD+udzp07h3744UcR0aRJE+F5zJVrWqOOdevWmt1hw7HJ2LFj7fa4heXMsIYtBGsZl0Zfor41a1bTt99+K+qF7vAmJltLWSSw8x8cnGRnr6T//vd/VKFCeerWrbvwWqluG9qNdZAPHz4sSof76v79+xtyGgL909JS6fz5Yg+Z6N9Jk/5it/7KurhwLax3bmBt9IsXLwkdsX4ui/0E0NevvbaEzp49KzLjPIiMjHRqLWL7tSi7OVx1L1FauGHD27Rv3z7zvalx48Yl1iBX0vGWCTABFxMweZBcvXrV1KxZU9O6dWsttN6//wOTn19taZxF4jIYcO3aNVN4eB/TwAEDTIX795uOHj0qtgkJCaaIiD4mxLMUE8jJWWWqV6+u6G/0ufLXoEE9086d77kEU3b2SlNgYKDp7bfXi75Af8xMSTEFBgaYTp48abiO2bNfFvolxMeb8Add58yZ49b+zMvbKOrJyso064596I44ZyU+fpjpscf8zNwV/s2bNzNdvFgkise2Y8cOpokTJpjP553vvWfq0iXUNGXKZKsqoH/r13/MonzUgzgjgnaivf369TXhGsJ+dHRUCe64phCGcpEGaZFu8eJFRqrgNL8TwPUAbuhrXCf4Q1+Hhna22de+ALH4XAw0qa/HRYsWCmaO3K9w/YAtGCu8wR59YM+9yRfYcxuZgKsJkKsLdGd5GRnLhNGsVwcMZ0+VJUteFQbz9evXLZqAG2Jy8hSLcF8MgDGmGGmyrb9//RKGkSOMDh48KAzm8+fPW2THg6pjxxCLcFkAHm54Cbp8+bI5GvsIGz36z+YwV+6ADx6eeJhqBe1BnGLYauONHMNolRnMSl9069ZFFBMTEy1eMrRl4vyG4axnvNvqX7wY2dJfeeFRM0C9eOlRXkBhMGMfYeprDnmgH65HFmMEwBEGoVbAFcYdXjx9VZTzWe9eguvRng8iuG7AVH3OKmzRB/jwwsIEmID7CHjUmObjx49TYGBz3W/tISEddePKegRc+abPm0eVK1e2UHXylClimIBFhA8GzJuXbrXVv/zyi3C/bDWRjcgtWzbT+PHPk7+/v0XKsF696OE/PWyzDvwcu3Pne7QqJ4dq1qxpLgf7CPv887Nml7rmSBfsFBQU0NMDB1FQUJBFaWgP4t555x2LOKMB+An+t99+003+5Zdf0uHDh+j48WM0cdIki3Q4v1+e9TJlZ2dbxCEgMzNTGq4E/vrrr7Rlyxbl0GKLYQILFy4QbVQzQL3TZ8ygmg8/IoaMbNqURw8//IgIU19zyLNiRSbNnz+PMGyDxToBDKO5efM/lJAw3CIhuCZPSaatW7daxPlKwOrVa8SwJb17SXBwG5v3EjUrXLtgqj5nlXj0wX/+8x/zUDAlnLdMgAm4jkAF1xVVOiVVq1bNJRVhAmFZE9mNFTrC0GrSpKmY9FjWdC6L+kyaNJHw56jUr9+AoqKidbP3Ce9DI0eO0I1HhJ+fHw0bFi99uOGBFxcXJwzz774rHnNstTA7Ihs1akzR0fq61/GrQ6+/vlwYhXYUazjprVu3aODAAdSzR5i07SioQ0gIHYs+6vD5nJ6eRvjTk5YtWklfeJA+Pj6epr04jW7d+pXmpc+XFoHrcNDTg6l9ex7fLAWkCURf68mT//d/9Pz45xzua71yPSW8evUatGpVjq66HTq0pzfeeMPw/eqBBx6gV15ZoFteg/oNqHdv/f7QzejGiKKi4vkCbqyCi2YCpUbA44zma9euuQROWbuQYcTfuHFD19CAcXXw4Ie6k5lcAsUDChkwoD998knxxDI9dfHFJSVlpl60zfDY2Bi6cf26brpLFy/RjBkpNHy4vuG8PCODKv6hom4ZVapUoZYtW1JGxiHdNI5ELFu21Ga2+GEJlJhUPInWZmJNgoYNGxC+5uvJH/7wB5oyJZl27Nihl4SuXLlCDz74IB0/ftIizejRf6Z3333XIlwdEBMTS3Pnyo1mfOHPsvK1unKVKvTYY4+J4rCvJ351/WjChIniTy8Nh5P4tcTarwOXL1+mxo2foC1bfPNrc1JSIl3+7jvpLz84f/DLSN++fcUkPiPnU9++TxGYqn+9Uue7evUqrV+/gXhCq5oK7zMB1xHwqOEZzZs3pxMnjuu2Pjl5CuXmrtONL8sRnTuH0nvvyY2F/J07hZGhN/u/LLfL1br169ePypcvr1vsPffcQ4MGDdaNNxLRvXt3WqkzfAAvNhvzNlBYmPWvObdu3yIY13py5vQZwooQrpaGDRvSmjVrxAuYtmzojrgG/g20UYaPbT2MMXQDLxPnz39Bx44dk5b75pu5FB4eIY3DKhwVKui/yyPuqaf6SvMqgRe+LF5xQzlWb2HAYBUPrO5w7lzxSg/qeGW/cH8hNW3aVDnkrQ4BrMZy+PDHdOGCnPmWzZsJKzv4quBesmLFCmnzcT2uXJlNXbt2k8bLAnHPAFOZoA/OfXHW7hVmZGVxGBNgAjoE3Ddc2vUlW1s94/jxY2KCGCYLeqJg1jMmU2GimVowMQmrODgyy1pdjjftt2kTLJ0MiBU1Bg9+2umm6k0SUybxYfULW2JtAhAmBaGvbU1os1WHXjwm4WHyqHqyEPYRhjhnBDpjMp4y8U+9Bf+lS18TxSuT8bQToDApzNZkxHbt2krLR11hYT1sqo+JmrLJZ2CgTELE9RQUFFiCkVIwrkHoyGKMAFYbweRWbV8rK7a46zw3pt3dTyWbcIpz0ZEJwWCJc1N7foM9yuOVX+5+f7MG3k3Ao1bPQFfAKMbDU20cb9++zdShQztTVNQzHt1beJDjgd+/fz/T8IQEcRPEDVJvpQGPbqwTysOohfGkXXZu3Lgxds1Et6YC6oCBiRcW9AX+cN4ZMZiVcpWlpvCAw0MSf8UGWaBb+xS6JyaOFg9XRXecRwhDnLOCFzws/agsC4d+gCGtGMxK+cWGc4A4j6EHZv1jGTpby2JBR1wDSvngjn28EBnRH+WjvTDalJVLsIwjjAr1cnfYhxGtvKgirWLoYQUVFuMEsNoI+glL96GvwRXGoq2+Nl6D56bEOYulDWX3EiPns7blYAq2YAzWYA72bDBrSfExE3A9AY9zboIP5nBmsm7dOios3C++n2NyYFLSGFKcneh8VPeYYMUhAxS29XO4xzTKDYpi5j7GBEKsOa9wpmpn61CcGmzdWrziA4YWYExuafSr2mmHO/ioz1M9py3oHzBUxJ52O6M/8i5btkzcKzDOMyjoSTEJcMCAgYoqYotVNLCSx7FjR8UQKKzAM2bMWP6JuwQlYwfqvsbwF1c50jFWe9lP5ey9RNtCdXl61582Dx8zASbgHAGPNJqdazLnZgJMgAkwASbABJgAE2AC9hHwqImA9jWNUzMBJsAEmAATYAJMgAkwAdcQYKPZNRy5FCbABJgAE2ACTIAJMAEvJsBGsxd3LjeNCTABJsAEmAATYAJMwDUE2Gh2DUcuhQkwASbABJgAE2ACTMCLCbDR7MWdy01jAkyACTABJsAEmAATcA0BjzKaly/PILib1v6Fh/cRS0u5BgmXwgSYABNgAkyACTABJsAEShLwKKNZUf3EiVNUVHTJ/BcREUGJiaM91oW20i6sczp58gvUvHkz8WKA7dSpyYQ1Z1lKEsD6up06hZhfoCIjwyk/f2fJRE4erVqVXaKOuLhYUq9NbLR4rKealZUp/tRrFhvN70i63bsLCEyUF8zIyAhCmCsE5+lrry0xn6eoIykp0eI8xXmLcEUHnM/Ih/y2pFj/CHNeR/oX9W/Y8DYtWrTQar+hT5EGaflas9Uz8nic1+q+7tSpo+hreWrfC5Xdrxy5lyjkUlJmUEBAE/P1MWBA/xLroSvpeMsEmICLCbjeX4r7SlS8AcKdtlZSU+cIr4DacE85hmcoeHmCq2PFixm2OIZ3M193RavuR3hyg3c5eHmDuMPTHuqABzl1HcUuoI1781N7ApuZkmLCH7yCwdOgI57A1Ays7SueCBVPd0ireCJ01muYcp7CC5niNlntSU/xACfzyof0yIfz3Fr7Z89+udh1vMqlvKK/Ue+Y8NwIL2m4fhYtWvi7N8KQEh7qij2rhYs4pFGuNXu8PlrrB1+JU/c1rkXI0aNHxfUTHt7bVzDottPV9yu4mdd6Q8W5Dq+cyvWnqwxHMAEm4BQBj3Kjbc1o/vrrr8VDEi61PVFeeOEv4qEt0x0PdLhhZTGZ4N4YhqfyYqFmAqMMDw9nXzDgzhxGuWIAqOuAMYCXGGtGn5I+PLyPMJTV5WAfxjMMR3cI2g4GikGrrgNhzr6AwV0yDF+Z4KUCbrIh2OJYJsiPcmSiGGB6+hvpXxjdeOHRniPFLz3FL6DoP8XVtloP9A/ysuGspmJ9v2PHEGlfKyzhTt1XRblfgYVWHLlfwVW9zGDGdYG/pk2f0FbDx0yACbiQgEcOz5B9bK9bty7BnXZRUZEsusyH7dz5Hk2eMkWq54gRI2n//g8M/awtLcCLAvfs2UMJCfFUs2ZNi1b5+/vTiOEjKT8/3yLOnoAtW7ZQUlISVa5c2SJbUFAQNXq8sc2hIBgqcvPmTZo+Y0aJclAmwm7e/I8YDmBRgZMB77zzjmAAFlpBWELCcEIaRwVDGBLi46XZBw0aTHBZvW3bVrHFsUyQH+XI5P33dwsd9fRH/1rTH8Mr3njjdVqWkWFxjkCfpwcOoiVLllBOzirq0b2nqEutB/pnVU4OvfVWLg/VUIPR2ccQg/Lly5Osr8FywoQJtHv3bp3c3h+8Zctmcb+S3Utwjg96erBd96uNGzfQ7du3dcH9/PPPVoci6WbkCCbABAwRqGAolQclwkPbiGCcZVkTmSEIHXHDbdKkKTVr1rSsqVzq+lSvXoNWrcrRrbeOXx3Kzc2lmTNTdNPYimjUqDGNGjVaN1mf8D40adJE8aeXyM/Pj4YPH6EXTbGxsbR06VKrZehmthIB3aOjo3VT1K5dm+bPnyf+dBPZiOgQEqKbonVwGxozJol69gjTTYP8X331lRiPqU2E/k2bm6YNNh8r/Ys26Anq1ruW+vbrJ5gfOFBI89LnS4vA9QaDun37dtJ4DixJwFpfP/Loo7Rv315pX5csxTuPbN2vApoFOH2/UpO7desWDRkySB101/cx/4iFCXgLAa8zmh988EFDfVPWLmQY8Tdu3CjxVVLdkDNnTtPJk6epatWq6mCf28fEyHPnzhK++Mrk0sVLFBkZSc8/7/jXrbFjx9Dl777TrePUyVO0YMFC6dc1RaflGRnKrnRbpUoVCggIoH37PpDGOxq4bNlSq79IfPPNNzR06DAaM2asQ1VggteFCxdI9iUYBX75jy9pxowUWrdunW75yF+vXn364IP9Fmmg/5nPz1BYr14WcQjAJMK+ffvSuHHPSePx5TMrM1MapwTWqlVL7FauUkUJstj61fWjCRMmij+LSA4wEwBvay8wuI5CQ7vQ6tVrzHl8acfV96vg4JZ05coVXYT33nsvrV2bS+3a8QufLiSOYAJOEPCa4RkYlnHt2jUKDAx0AsfdyxoREUnM3/ZZAAAgAElEQVSZmSukCuCn7M6dQ33eYAacFi1aUEZGhnjB0MLCw2Rj3gYaOHCgNsqu465du9KKFfK+gMG3YePbNh9K9z9wP8G41pMzp89Q69at9aIdDm/RoiWtXJkt5YOXMqwIgjSOStu2bSlj2TJp9gOFhYQvXfjCji2OZYL8KEcm0A06QletIGzlyizq2rWbNsp8jJdKGO56ghcupIHh/Omnn+glIwzRaduWDQ9dQL9HwDg7f/4LOnbsmDRpdnY2BQcHS+N8IdDV96vw8Air2MqVK2fz3mS1AI5kAkzAOgEXjo92e1HWJgJ6+uoZmMClTExSTxpRJi/xrOg7p9fo0X+2mOilzNZ31QQuTOIbnpBQYjIZ6ggKCjQZWYFCmWimXsFCaUHxShDuWxFFWflDPZkOk+IwwQ1xzgja1axZgMUER2V1C0yihGCLCZvq9uO8xiTIZs2aWp1IqeivnsiHthjVH6uToB6toAzohMlZygQtNSMlvXpCoxLGW30CymotykozSKn0ta2VUvRL9Z6YqKghuvcrTFq1R3D9tWkTLCb9KZP/lC0mCObkrLKnOE7LBJiAnQS8YvUMxZhet26tnc0vW8lhGMfGxogbYvywYcKIxkOHDWbLfsLDBg+L/v37mUJDOwlWRoxZy5LkIXg4KcuWqeuwZyWAYsOx2MCEwY0/rIQCvY0unSbXznYoVqfASxh0xx/29VassF1ayRR4wcNqLmiHcp5itQzFYFZS4xjhqBvpkB75jKxuotZf6V+j+uN6wYoOeOmBIQfuWVmZwmBWGymKsYc4pEFaZdk5vuaUXjS2LSjYJZir+zo5eYrVlyNjJXt+KtxLXHm/QnmxsdHiegoIaGKqX/8xsWrGpk2bPB8Wt4AJlHEC5aCf9W/RZScWHgHnzk21UCgkpCPFxMSQrZ+uLDKW0QCsAHDx4iXy86tDder4lVEty4ZaioMAd47hQx34SR9jkO0V9CXGc37++RmRFcMCxo4dW2r96k4+GF8Mpxa22CjnM/ghrT3iqP7QDStkHDp0iPCTNSb3xcU9a/HTNcrHCgfffvstPiCIITMY822vnva0yZvT4nwAe0f62pu5KG1z9HxW8qu3Rq8/dR7eZwJMwDkCHmU0O9dUzs0EmAATYAJMgAkwASbABBwj4DUTAR1rPudiAkyACTABJsAEmAATYAK2CbDRbJsRp2ACTIAJMAEmwASYABPwcQJsNPv4CcDNZwJMgAkwASbABJgAE7BNgI1m24w4BRNgAkyACTABJsAEmICPE2Cj2cdPAG4+E2ACTIAJMAEmwASYgG0CHmc0h4f3Ibic1vuDV0BPFywlhKWJsFQXi3UC4IRlrtwppVGHu/QHG2WZK1fXYfQ8xXkMHZDeXvFk9va21RvSO9PX3tB+W21w5fls9PqzpRPHMwEmYJxABeNJy05KrMe8fPnrZUchF2kCAwfrUH/wwT7q3q0HFezeJdxnJydPdWiNYBepVSaLmTNnNq1f/xY1bPg4/fTTv+if//wnTZw4iYYNi3eJvnggLV26lF5/PYNatQoWddy+/RuNHz+eBgywz0033KD/+MOPQq8af6pBgwYNdomO1gp57bUltGLF36h69eoiGfiMHPlnGjfuOWvZDMWBTXLyFNq+fZs4Tz/59DA9+OCDlJ4+v8Q6yDAQpkx5ga5evUqtWgaL8xnu4tPS0m2ug+wK/VH/kSOf0j3l7iG4NUe/addfRls2bcqjn//zM/1m+o0aNmxIYWG9DHHgRHcIvPPOOzR9+l/p5s2bVLFiRbHt3LkzLVu23IL5nVy+s+fK+xXOWTwn1q1bK+5NcGOO62/GjBTq1q2770DlljKBu0GgjDtfsVCvT5/eptGjR1mEe3oAu9E23oN6brS7dAkVnreMl6SfUs+NNtwwG/U8WOyZroNwoQuvc/hLSEgQntPc6XFOcUMNL3eK2OOGWskj28IbGbz8wU21pbv3QLNXQMWNNlxSK6K4VkZ+lKMniv5qF9doi1E32igbngdDQzsLD4zgrnj6U3tiLHalHSA8Byr9gzxww21NPz29fTUcrpvhwhkeH7V/cPns6yxdeb8CS3iJxfmsvv4UN/bq89tXz0duNxNwJwGPcqMNEN5qNCcmjhYPeFlnw/CAe20WkzDKYNioHxgKl8uXLwuXzUbcNCt5ZFs8eGCAy+qAIQfDwEgdinGprQMGGtw8u8OYgDEOV8Yy3REWFBRogrHoqLzwwl/EA1uWH26o0S4ItjiWCR74KEcm0A066umPttl64cC1pDUqUBcMC/Qd8isvqQjTCl4IYHSzGCPg71/fwlhWG88zZkw3VpAXpsK925X3K7iSh3t4meDFEtcHCxNgAu4j4HFjmu/G1/jSqBM/dUdFRUurws/5+/btdWhMqLRADw7cu3cvJSUlCbfI2mbUrFmTnh44iPLy8rRRdh0XFBTQlMlTpHX4+/vToKcH2xwnjCEZD/+pJk2fMcOi7oSE4fT4442ooGCXRZyzAe+/v5tQPtxGawVhGL6CIQuOykcffURJY8ZIs3cICaEKFSrQtm1bxRbHMkF+lCMT6AYd9fRH29BGPcGY2sLC/TRz1iyLMsJ69aKUlJm0Zs1q4doc5wrCtDJx0iQ6ceKk28fKa+v1xGMMgYH7cWuye3eBtWivjjty5IhL71eHDx+m+Hj5ELSgoCAxXA19wsIEmIB7CHjkmOYdO7aLiYBaJImJSTR16jRtsPQYEwnLmsDo05PWwW2oWbOmetE+E169eg165pko3fbW8atDubm5tGDBK7ppbEU0atSYHnn0Ud1kAc0CaNKkieJPLxHKiI6WvwQhT69eYULH8eOf1yvCoXBb9dauXZvmz59H6elpDpWPTHhx0JMG9RvQmDFJ1LNHmF4Skf+rr/4hvYbRv9Om6V/DGJOM/kUb9AR1y4xupG/ZspXI/+uvv9KSJa9Ji0DepwcOpN699dsgzciBUgJff/21tK+lib0s0B33q/nz9e9tD/3xIRoyZFCZolhUdKlM6cPKMAFnCBg2mrFqxYkTx8UknujoGIs6EV9U9DWdOFG8kgFWscBkhdzcdea0mMAHo7Zu3brmMEd2XDERsKxdyM2bN6MrV66QzHC+ceMGHTr8MZ08edrnJ9WkpqbSnj3vE76qyOTSxUsUFRVFw4ePkEUbCktKSqRz587q1vHujndpwYKFVif0Lc/IsFlXp06dae5cx41XWQWYQAcGevLNN99QXNyzDk8I7NQphA4UFpLeV2Scp8uWZdCLL+obvshfr149+uCDQgs1ly1bStBRT9C2vn376uqPr2xZmZl62UV4rVq1rMYrkZhY5cx5pJTjzVvwjomJolu3buk2Ey9Ze/bs04335ghMmHXl/erZZ+Po/BdfSJ8T4Hjhywu0fv2GEhNyvZkvt40JlDYBu4dnwBA2sqxbdHQUnThxgnbseJdgoBYWHqSioiKKjn7GUP7SBnG368OLwLz0dKkamZkrqGPHTj5vMANOly5daOXKbMKLhFYuXLhAmVkrKCzMuS+EMMoyMjKkdRw7dozOfXHW5goLWCXjwIGDWhXNx/k786lx48bmY1ft9O/fnzbmbSCw0ArCVq7Moq5du2mjDB9jqNDK7GxpegxJwSz+yMinxBbHMkF+vRVEQkPRv1m6+qN/0UY9wZdoGO6y8wN5Pv30E4LRjD8YMzJB3r379lLbtu1k0RymItCuXTu6//77VSEld8uXL09PP122vnyW1NC9R3379nPp/apr1660aNEi6fmN6+327dtsMLu3S7l0XydgdLg0JuApkzuiop6xyIb4Zs2aivDt27eJtOvWrS2Rbv/+D0R4RsayEuH2HHjrRED1rGhMaINgu2jRQpdMbrOHcVlPi9UVMFFPPdHM1bPHlRUclBUoMDENk3qweoaRGeroT0yGU68eoXAt1jXALRMBUQdW94Ce6klu2McEu9mzX1bUcGirnKeYjKSsbgE2mNyonqSnTEhEuDKpD+mRD7P/rU2ChI7QVau/0ZVLMIkPk/m0gvoVHTEREPcz9TmkpEderKDBYowAJm8qzwb1FitqtGvX1lghXpzK1fcrrOyDlWTU9ybl+nNmkq8XdwE3jQm4jIDh1TMUoxg3ANwYtQaxEm9Ns+PHj4m8qalzrCWzGuetRjMaDUMCqwrgwa48fJKTpxhaqcEqNC+MhOGK1SkUTjDEsMyZKwXGp7oOrGBiz0NJMRyxzByMZ/zBaFQMN1fqqi2roGCXKSIiXMUn3IQwVwjOU8ziV5+nWLFCu6oFjhGu9BHSI581g1nRzxn9UT4MC7xYwZiA8Q1DGHqoX3iwD50QhzRIizy2jHpFR97eIYC+7tUrzNzXWFHDl1fNuEOmeM/V9yvt9TdmTJLF9afVgY+ZABNwnkA5FGHka7t6zHJISHsxxGLHjvfM45PV8XrlYXwzxnjBuYFsXLRePnW4MrZaHabeh9MTDHVgYQJlgYDiPOPs2bNCHQzJkDnZKAu6epsO+LkaQ1IwLKxJkyZiWEedOn4lmonVNt5//32xmke1atWoRYsWukNHSmTkAybABJgAE/A5Ag4ZzVjSCWOWQ0I6Um7umwKaEaMZaa5duyrGN/scaW4wE2ACTIAJMAEmwASYgMcSsHsiIFoKYxlfimE8L19ue5UA5ElMHC1W1/BG99ce2/usOBNgAkyACTABJsAEmIAhAg4ZzSgZQywCA5tTRsYy8fOntdqw4gbWVlbyWEvLcUyACTABJsAEmAATYAJMoKwRcNhoRkOmTp0qxjZjnLKe4AszvkbzWGM9QhzOBJgAE2ACTIAJMAEmUNYJGHZuImsIhmnAC58yRAMTaRSBIxQYzFjTGWs146s0CxNgAkyACTABJsAEmAAT8EQCTn1pRoPh4U9rEBc7MYkSBjMmCmrjPREU68wEmAATYAJMgAkwASbguwSc+tKsYEtLSyOsjKHIunVrhcGMY3W4Eu+MG2yMjcYXbD2BG2/1F2+9dGU5HK5pFYHHLRY5ASwXdvF3l9F+fnVIu5yYPJd9oadOnSIsGwcJCAjwKK+M7uZjhA3YIR0E3vrA0Ki4W3+jenA6YwSc6WtjNXh2Klefz0auP88mxtozgbJHwPCSc2VFdcVo9sYhHzCWp0yZTHA969/An/7107/o/PkvaNGixdStW/ey0gV3XQ88nPHihCFArYPbCH3+viufRo9OomnTprlEP9SRlJRIx4+foNbBwYTFzHftyqdRo0bTiy/+1XAdeFDm5OTQ6dOnRZ6mTZvS0KFD3WLgK0pB99TUOfTuuzvMfOBaGsOpMBkXxqszgod1YuIoqlDhXmpQvwFdvXpVuBZPSZkp1qBWyt60KY9SUmZQo8cbC7faX/7jS7p161davvwNq8Yz9Mc8CazOo+5frNgzbdqLhvRHGah/165dQh0/Pz+CS2PtSyj6Z/XqNXTq1EmRrkePHryOttKBdmxffXUxZWVllujrSpUeoLS0eVb72o4qPDYpzsXBg5+mc+fO0a1bt8zt6NevHy1ZstR8bHQH19/w4fH0ww8/0K+//iqeF/fccw+NGDFS/PJrtBxOxwSYgAMEnPePUrolKC664V3QmwQeteCxTO06GO2Dq1ThEtnF3u48mR08tsGLm+KeGW2By3G4loXHSmcFHuWs1TFnjjGPluhTxeMc3DXjD3ojDHHuEriRBgs1H+xPnDDBaffQcD8N/bXuwZXzVPG4V+xtL9Ds6ldpK/IhP8rRE7iwhq5a/dEmtM2WKP0HT4y4nqCb4o5e0Q9lYB/XHOKQBv0Dj43wAunO/rGlv6fFw3Mm3J4rbtUV/RXXzkY8QCp5vHHbpk2w2VOi4h0TW7gZj48fZleTwRLeFtXlKPt169YxOeNt1y5FODET8FECht1olxU+3mo0w0UzHjIywYMfD3IWkzDW4OpYJjCy8ILhrMGTnb3SBINLJjDObRl9yIeHG9JpX4IQhzDEucOYgJvv0NDOJQxOpR3ggzhn3I3DrTuMTJkUG84BIgrtw7FMkB/lyAS62dLflitzGN14OdEKjDqcH8iPP+ioNfSQB3nhhpvFNgHlPJdxRG68/Mye/bLtgrw0RU7OKmEcK4atdgvD2Z771ahRI6UGs1Jugwb13HJf8dLu4WYxAbsJOD0R0IGP25xFQmDfvr00ePAQSQxRWK9e4idw/JTs67Jnzx5KTEyUYqhcuTIlJMTT++/vlsYbDSwoKKCE+Hhp8po1a9LTAwdRfn6+NF4JxNAADC1A32kFYT269xTDB7Rxzh4fOfIpxcXFEVhoBWGI++yzz7RRho8xPCoqKlqaPigoiPz9G4qf6bHFsUyQH+XIBLpZ079v376ENuoJfrrGkJqJkyZZJPH396fx458nzLnYsmUzjR8/gRCmlekzZtDNmzdJPbdAm4aPiwmAN4bfyDgixbNDh9KhQ4d8FtfmzZvp9u3buu1HHNy9G5VDhw5bTfrbb7+Z5xBYTciRTIAJOETAJRMBHarZyUyyCYb2jHOuW7eOkxq4PrvM0FFqefTRWtS+PU8KrF69BsVExyhYLLYYr5ubm0vz58+ziDMaUL9+A6pcpYpu8jp+dcRY3ZkzU3TTNGrUmKKj5cYlMrVt15YWL15E06e/pFuGIxG26q1SpYowauGUyFHBi4OeVH+oOoFLzx5hekkI+TEOWnYNPvLII/TyrNm6eZX+TU9P002DuvWupZYtW4nzA5n1jH/EwTgfMmSQbh0ccYeAtb5Gf549+7m0r++U4Nt7K1dmEf5cITDCy9p5W1R0yRVN4zKYQJkg4LFGsz0Gsox0WbuQmzdvRhcuXJB+sbly5QqdOXOayprOMq7uDktNTaXDnxymDiEh0qoOHjhIo0aNokGDBkvjjQRiEtqnn36i+6X03R3v0ooVmRQWZvkVWSl/eYZ19/LXr1+nyMinKDl5qpLFJdtVq7Kp6Osi3bLOnD5DzzwTRePGPaebxlpEZGQEHSgslPK/ceMGYcJhXt4mGj48gXAsM16RPyjoSdq2zfJr82uvLaGPP/5Y+oUeel26eIliY2Np2DD5LwH4OpyVmWmtCVSrVi2r8Yj897V/04wZKTR8+AibaX05Ab40jxs3VhfB0c8+o+Dg1rRmzVrdNN4c8dxzYwlfm63JggULDd+vunTpLJ4TeuXde++9tHXr9v9v7zzAo6rSPv5SPlGkuaCgJBTpJWQtoaQRJCSSIhBEIUUgSAuoBCQJuEBASgCVHmQBE5ouJUoUJFRFYlRQlgDqCmF1k6CIusIGdj8/ced7/ifeYco5UzIzYSbznudJ5t5T3/N7zz33vfee4vWTL1V82J8JOEqAh2c4StBJ6ceOHUfpaWnS3JYsXkwJCYnSMG/zfOqpJPFWBg8Ypm5/QYEw2iwZs6ZpZOdYZWH58hXSmxPKuPzDZYsGM/Jsdncz2rpVbSjA8FZ90pbJZKtfeHg47crbScXFxWZJwGzDxvU0ZMgQszBbPUaPHk3Lli0TBrFpmldefpl69PAXRhJ+cW7qYEgjPfKROcgGGWX6RZ1QN9RR5bD0IFZSwYOmzOXv3i2M5k6dOhGOZQ4yopzevfnLjoyPoR+WEMQqGbI3peCYtTjLofZmWJYnHqelpVPduup3U7fddpvVvsSw3qNHJ1vM7+6772aD2RAYHzMBJxOok5mZqf7G7OTCnJHd+fPnxHjIhIQE8ZnXGXm6Qx5dunShHTu305t5b1LLli2pXr16VHzqFM2bO5dKy/5By5atEH7uIOutlKFRo8ZC7xjXXK/ebYTzsrIysbzatGlTxXbtYOmIw/Jk//d/v1B6egbd37Yt1apVS5Tx53XraMXK5ZSTs4nuuecei0XAmNi1ayeVnC+hvmFhRnE1nc6fv9DI3xknGp+RI5PEeuU4//nnn2n37rcoNfU5seRcr169q1xUly5d6eRfT9JLL71ELZq30LNZumQJvbPnHcrNzRU66dmzJ818YSZdKCkhfKLHGOETx4/T5MmTyK+Hn/JNN+Rt3bq1WNIO14Ch/OPHj7UqP+L/5z//K942R0VHE4wSzeGBB/pbsWIlhYb2peenT6NmzZoZGRkw9EaNHEmdu3QmGCjsrBPAV4Pp06eJtg5d43rB14RJk1KoV69eSl1bz9nzY6A93nXXXXT06FFMujer0KuvWl5+0TQBWOPhERuIYfyyoUNbf+ON7Vb7JsM0fMwEmIB9BHidZvt4uTw2Pq8fOXKE3n//PQoL60cBAQE0cuQom9amdblwblQAPsNjQtfp06eFVIGBgZSU9JSRAeSouIZl4MYHY3zy5Mk2r7GM9Vnj40cIgxFjZOHy8/PpzjvvJOyU6eh6yZbqh8/ma9asprNnK9cf7tGjh/haYbpOsaU8LIVhouNbb71FxcWnqHXrNhQREWHWTlH/TZty6cCBA/SPf3wjhmTgTXJc3FBLWYswQ/bwCAoKosTEJJv1iyE2WKcakzYxBh1v9s+d/0oYFdoGK2CE9b7vufseioqOEkM/duXlUVBQH1q8eKlL9WMVgIdFgK4xtAaT/r7++u926drDqlolcdGeFy1aoP+CggfXefPm2dyXmBa6efMmysl5TTzMwzB/5JFHaPbsOdxmTUHxORNwMgE2mp0MlLNjAqYEcMP8+OPKXR6xuYmjw0dM8+dzOQEYxQcOVK5y4uPjI7jLHlT27y/Qbz4TERFps2EuL5V9mQATYAJMoKYS8DijuaYqguvFBJgAE2ACTIAJMAEm4L4EeCKg++qGJWMCTIAJMAEmwASYABNwEwJsNLuJIlgMJsAEmAATYAJMgAkwAfclwEaz++qGJWMCTIAJMAEmwASYABNwEwJsNLuJIlgMJsAEmAATYAJMgAkwAfclwEaz++qGJWMCTIAJMAEmwASYABNwEwLqrYrcRECZGHv37qFt27ZRYeExfXB0dAylpKSQn18PvZ8nHpSXl9H+/fvp3//+N9WvX58iIyOrvJanJ9bfHpmxVNi5c+fEIv/h4QNcslSYVsaNGzfI05Yjg+x/+9vfBNLOnTs7dak7rMuL/C9fvky33367sp0atmdsfIHl9mTLvsn07kr5ZeWxn2MEtCX+sAOevbp2rGTPSK31JdiUxNH+Srv+Ll26RJ7YN3mGxlhKJmBOwOPeNK9dmy02JAgJCaHS0nLxd+bM56Jm0dFRRoa0eXXd2wcbRkRFDaQvPv9CbIBxsfwiBQb2oRUrlru34NUsHW7OsbExtHjxYsEJO21hp7nExATCzcQZDmWEhobQ+j+vF2Vgl7OEhBGUkBBvVxlYoxmyIa8ePbqLY/i50oFBTEw0ZWVliV3IwAfH8IMR66hDOw0ODqT9BfvpjjvuILRTtNuFC413OMQ5/BGODV0QH+mQ3pIDe5X8tuoX9cQGJxr3pKREabkwZKAf6AZxkcYZjCzVryaGgduIEU9Sxb8qhK63/2W70LWr27onsKzsS4Kd1l+hzeI6AmNcV2AO9tABOybABFxMQOdB7vTpYp2vb0vdtm1bpVJHRQ3UjRgxXBrm7p4FBft0fn5+upKSEiNRce7v76fLyXnNyN9bT65evaoLCQnWLVv2ihGCiooK3dzMTF1CQryRf1VOUIafXzfdjh3bjZKjjKmpqbr4+BFG/qqTvLxdIp+NGzcIvUKXOEbeCHOVi4mJEixM8wcfhDnizp49K67BwmPHjLK5dOmSbmhcnG7lyhXCH784h7+hQzpcw8hH5RyVH3mDMep76tQpIUPBvn26sLC+uvT0NH2xOMa1hTDICf0gDdJakk+fAR8IAgsWLBC6xvVh6MAVLMvKSg29verY2f0VWIIp2Bo6sMf1Bl2wYwJMwHUE8CbKYxxucjCMa6KDoWDaEWr1xI0fhiI7nXh4GJOcrEQBwwgPII44GHwwjmUONyc83FgzqrSbG3Rn6mCcwXB0hTEBQ79fvzDTIvXnuLGaPgzoA204mDQpRRj+sqhavcrLy0T9cC5zeHBAPjIH2ZIt6Bd1syZ/SEiQNA50h/aB9EVFRUKPpkY9ZEI4X28y7Zj7oQ2jLcs4IjZ0bfigYp5DzfbByw5n9ldgCaYyBx24ql+Rlcd+TMAbCXjU8AyMYQ4ODnbxu/dbk31xcTFFPvqotHB/f3+6cuVnwmc+b3fHjx+nYcOGKTEMGjRIjHNWRrAhAGXExcVJYzZo0IAeHzpUvz2zNBIRHTp0iB4fOoygO1PXrl07enrMWHrrrbdMgxw+//GHHykxMVGZT1R0FF24cEEZbi3ggw+OEuYPyBzq9fDDAVRQUCB+cS5zSP/22/myICFbUFCgNAyeqBvqqHIYDlCnTl0aNuwJsyjQXUZ6Bh09epS2bNlMs2b9iZo3b24WD2mbNWsmxmybBbKHEYGysnKKGBAp5YiIDz30MBUVFRml8aYTZ/dXYNm3b5gUIdoydAGdsGMCTMA1BDxqIuDVq1fNKEycOIEwMdDQYYxz48aNDb3Mjlu18jHzc2ePO+9sQAMHRrqziNUiW9OmzSghPkFZFiaZbdy4gZYuXaKMYy2gbdv7qUHDhspojRo3oldeeZmWLXtFGadjx04UHx+vDO/VqxfNmv0nh+SUZW6t3IYNGwo+2dlrZMlt8sM4SpVr1LARzZ2bSY/066+KIsZhIlB2DWIC2fTpacq0CMh7M48WZRmPnzZMAMNB5Vrce69+cuT48RNU0Sg0NJTGjn1aGc4BNwlY4o0HlYqKCqmub+ZQc4+c3V9hcrg19+ST6pcK1tK6Ihxzj9gxgZpCwKOMZpkhvHbtq3pdYJLgokXqm6k+IpGYQGh4fquPQ0ODCW+bZW8mv//+e7p+/ZrbyXwrmK1atZIOHz5MQYovDu/ufZemTEmVvmm0VV5MqHnvvSNSXSCP/Px8Wr9+g8XVKNasWW1xwuDFby9SXNxQysiYYatYNsXLzc2hwmOFlJw8Rhofk/HGjh1Ho0aNloZb88SEug8LC6VfRa5du0ZH3jtMeXlv0tChcYRzGE2mDunxtp06MOEAACAASURBVGzLlq2mQQT5P/7oY6X+ij4sohEjRtCYMXKDFm+aN2zYYJavocd9990nJkheq6gw9DY6Listo5dffkUph1FkLz7B1y/oQ6Xrkyc/o6CgIFq9uuoPaZ6M19n9FSatgqnsKw50cPzEJ1RU9BGvuOTJjYZld28CnjQmxdqY5uzsNWJM15UrVzypWkLW5cuXSSfTaBM85s9/0ePq5AqBtbHCsvHf2lhUTL5xxGnjNGVjcjEBMSYm2mr2GDOL8bPQn6nTxtY6OvbaNF+ca5MYZXzgh0lEjvBRTVhF2RgHnpGRLsTCr2xcOJhiTLiq7o7Kj/QY1ynTnSYjxqxv2pSrHGvKY0OFCm3+h4mxmEBp6jRd41rwVmdLf2UPG20svqx9Qwe2TlK2p0yOywSYwE0CdTIzMzPd26y/KR3GbOGTeMeOHcXfzZDKo08/PSGWnEtJmSTWjjUNd+fz3r1708m/nqSZM2dQ06ZNxdqbx459QFOnplKTJo1pxYqV7ix+tcnWqFFjMX7yhRdm0g+XfyCsCVtWWkorli+nnNzXKCdnE/n6+jokD8po3bq1fgmtJnfdRcWnTlHWokVU+GEhLV++gu655x6LZUCGgwcPUN6uXRQVHU233XabiI+3QXNmz6badWpTWprzl4iqV68ehYb2pfETxhnxyc3JoRUrl9Mbb2x3iE/79u3p559/plmzZtEvv/wv3XFHfcFm3LixVFHxL1q2bAVBhp49e9L69evEW98WzVvQ9evX6S9/eYMyMjJo+PDhNHq0/E23o/Ijfe3atWnp0qUUHBxCf/jDH/R6mjd3Lu3Z+w6tXLmKOnfuQpu3bKKS8yX00MMP6/WD8d6pU6ZQTGwsxcTE6tPygZrAgAEDaNVqfAE6QrfXq2eg6zTC7SUiIkKduIaHqPortMU33nhd9FfW+hJDROhXmje/hyZOHE+//PKL/vpbtGgRnT//Fb32Wq64/gzT8DETYALOI1AL9rPzsnN9TtoQjIkTU2jGjJmiwNLSUjEsA2Ob4+MTKCtrsesFcVEJ+LyMSVKoE4aj9OvXjz8RS1hjLd1NmzbRF198IUKxCczgwUNs3jhDkqWZF8rYvHkLff75WREG4wBDKmzdnANrCi9cuIBef32bmKCDTA4c3C/a6MyZL9icj5lgNnig7N273xIb5SA6HsqGDBnitM+2aKf5+buprKxMtNPw8HDBxlQ0rMmMSZGYj4Ab/qBBg6lPnz6m0czOwR4TJT/++GMRZq9+sbY5xrZ37NCJmjRpQsdPnKAePfxEn9GtWzeRJxilpEyk06fPUM+AAEJHePDgfjGm+plnnjWTiT0sEzDUdbdu3UXfZYuuLedaM0Kd3V/h+nvvvfdE34T7hOr6qxn0uBZMwH0IeJzRDHQwjvfs2WM0ARAz8mNiYpQz+90HOUvibQRww9RmtPv6+jjNcPU2jvbWF0axtuIMHnQ0Y9k0H8RBXDjEsfWhyDQfPmcCTIAJMIGaTcAjjeaarRKuHRNgAkyACTABJsAEmIC7EfCodZrdDR7LwwSYABNgAkyACTABJuAdBNho9g49cy2ZABNgAkyACTABJsAEHCDARrMD8DgpE2ACTIAJMAEmwASYgHcQYKPZO/TMtWQCTIAJMAEmwASYABNwgIBHGc1YNQNb78q207YU5gAfTsoEmAATYAJMgAkwASbABMijttH2Bn0Zrr/Ja52qNY4lwrAu7PHjx0UkbKZhzxrK6pxvhmCpuCNHjoi1jlu1akUPPvigx6yZ7Wo+huso+/n50QMPPCDdVnz//gJ6//33xbrj9qwV7Wr5b2qZj5xFYOfOHXTy5Em7de2s8t05H8P2jHWVAwICKDx8QJWXNzS8/jytb3JnPbFsTMAaAY9602ytMp4evnDhQho/fizVr38HpUxMEb/Y+Skjw/k7x3kyK6yrGxwcSKX/KKVBjw0SmygcO1ZIMTHR+nV5Ha0fDPKoqIH0zdff0FNJTwmDuaBgP8XGRuvX9LWljMOHD1FoaLD4QoKvJDhG3q50Gp/CY4WCDxjhGMy0dYsdKV9j89tvv4l2ih3NsrKyKCEhXs8GRgLO4d+hQwcRD/HB1Fr9nSE/Hj6TkhL13Hv06E6rVpnvqgm/0NAQfTykQVp2thOArnHtrV27Vlwn6Lt+/ufPFBjYx6qubS/Fc2Nq7Vnrr/DwvXfvuxQTE1Wl6xHXD9iCMVgjP7CHDqALdkyACbiQwM0dtd3/aM+ed3S+vi11V65cMRPWUphZZDf0yMvbpevXL0x36dIlI+kqKip0Q+PidCtXrjDy99aTq1ev6vz8uukK9u0zQ7Bs2Su6kJAgM397PcrKSpVlzM3M1EVHR9mU5fLly3R+fn5GshYeO6bz9/fTzZ//ok152BsJfEJCgo3K1PIAM7BDnKq6ggLk4acrKSkxykJrpwsWLBD++EW7hb+hQzrBpMBcf4hnSb87dmwXdbMmP2REP4H4WvmnTp0S8hjqLj09TfghDA5xkQby4XpkZxuBiRMn6KampppFrtR1N11RUZFZmLd4WOtL7O2vwFJ2/YEndABdsGMCTMB1BMh1WTs/Z0uGsaUw50vi/BzRecKgkjnc1GHssNPpNm3K1cFwVTkYajB8HHEw+CyVERbW16ohoN0sTY1LyKUZE2fPnnVETGla1D05OVkaBs8xycm6nJzXlOHWAiZNSpEa5EiHBz4Yq+XlZeLX9AFQyxvGO/KROcgGGVUOdbOmX9VDlWbYwyBGHnhI1Yxqw/K0682acW6YxluPtXYu4wgmGzduUOraG5hZ66/QBvGQZ6vDdQOmMgcdoO1DJ+yYABNwDQGPHNPs59fN4Xfv+FTubi4oOFgqkr+/P915ZwPxCVkawYs8mzZtRqtXrVbWOCo6ipYvX0bTpk1VxrEW4OvrS9nZryqjDRo0iJ58cpgyHAGQ8/Ghw6hdu3Zm8eCXnDyGEhMT6KeffjQLd8SjY8dOFB8fr8wiMCiQ1q//M82ePUsZx1pAVtZiaZTmzZvTI/36U58+vcUvzmUO7XzsuKfp7bfzzYLBfsqUVDN/zSMoKJDWrVtnUb/+/n+kyEcf1ZLofxs0aECpqamUlj6datWqTbP+NIvgZ+pwvbW7vz11797VNIjPJQQiBkRKOSJq375htGrVKq/tu6z1V4mJiTRv3lwaO/ZpCVlzL+SXmirv29CWewb0EkM3zFPeOp/S0vJbVziXzAScTMAjjeYzZz4nTKYwdFg9Y+LECYZeFo/d7UK2ZsTffns92rdvP3Xr5vgDg0Uwbh6IcbLXrl2zKGV8fAJNmjTZYhxLgRjXeq2iwlIUceNS3byQcG12NtW7vZ4yj5YtW1LXrl1p27bXlXGqEoByrbnY2McoI2OGtWjScLTT69evK42kOnXq0Jw5mVT0YZE0PTyRHk52Dc6YkaFMpwUMjRtKE1NStFOjX4xH3rhhg5Gf4UmDhg2pXbv2wqvFvfcaBhkdxz4WS6F9Q5UGilFkLz6xxhtoGjZsSH/96ymvpGRLfzV8+Ah65plnbeKD8ffW3PbtO6lPnz7WonE4E2ACVSDAEwGrAM0VSdq0aUP7CwqkWRcXF9NPP/3k9QYz4AwYMIB27twp5QTPLVu2UPv2lUaRMpKVgM6dO9Phw4elsWCw5+fnU0REpDRc87zx2w2Lk3IuXrxIgYGBWnSn/Ta7uxm9u/ddZX4fflgkffutTGAS8NhjgwgPqDL3/fff08FDB+jRRx8VvziXOaRHPjKHVQUw4VLlUDfU0ZK7cuWKMlh7GPrvf/9Ll777ThkPRr+Pj/t9jVIKfIsCfH196MDB/coH2aNH36egoKBbJN2tL9aW/qpjx442CwqWYCpz6JugC+iEHRNgAi4i4JpRH67J1dK4ZUthrpHGubkeOnRQOsED40IxTheTytjdnCgmG9dqzyQ9Syy1cZqyyYYoIyEh3lJyEYbxyhhfKBvrWTn20M/quGirhSgiYHy8bEy2NlHSkbG6qolIqBPaqTbBEb+WJgKqJodBNkxklI3bRJ1iYixPwkR6cNcm95kiwphoXEsY1wz5ZE4bc+4IJ1m+NdVPNekTOsAYd1eM3fcUllp7VPUlhhNTbakTWIKpafvWrj9tIq4teXEcJsAE7CdQC0lcZI87PVttCIal4RmyMKcL4qIMsZTQlCnP0dNjxpKPrw+Vl5XTrrydNHx4PM2cOdNFpXpetljCCUNxOnToSBjjCrd161a68876tG3bG1Ve+9SQBMoYMeJJCgjopS8Db7ExrCI7e61NZWAJwZOffUazZs8mjJOFw1eDF+fNo/Yd2pNqbLChHFU5huxYprDebfUIY7zh8Ib28g/f09q16xz+YoF2mpk5R4zZRjvFMle5uTn06KMDjeoEGQoK9tGoUaMFL609Z2bOFWtqq+pWqd/xdM/dzfXya/rNylpiVf5K+ebS0iVL9GOb8dZ7yeLFdO78V/o2giW6WjRvQQsWLiRt/DX0k5SUJOqHdb/ZWScA/aenTxdL9Wm6/vzs5+JrgzVdW8/d82M4u7/Srr8B4RHUrXs3/fWHIRmLFy+1qW/yfKpcAyZwawiw0XxruCtLxaL1eXl5dNv/3Eb4xP/II/2tGgnKzGpwAG7U2Djjxx9+pP/q/iuGZERGmk/+cgSBM8pYsWI5bdy4gZo2bSpEwTCbsWPH2TyG0RH5sdnE5cuXqXat2mJIw7BhTziSnVFatNNDhw7Rf/79H4vtFAbDkSOHqW6dunRH/TsoPDycfHx8jfJSnUB+Tb9YC9oe+bE+9ty5mYShGu3bd6BPPz1BGOs+c+YLeqMC+l29ejW9+mo2PfxwAJWUnKcmTZqIMdn9+4erxGJ/BQGMbwZnTdfO3mxIUaxHeDujLzGsKPKD8axdf2i/PI7ZkBAfMwHXEPAoo9k1CDhXJuB6AjAe4bx9IqfrSRuXAOO+rKzcqkEBgw9jQW016I1L4TMmwASYABPwBgJsNHuDlrmOTIAJMAEmwASYABNgAg4R4NUzHMLHiZkAE2ACTIAJMAEmwAS8gQAbzd6gZa4jE2ACTIAJMAEmwASYgEME2Gh2CB8nZgJMgAkwASbABJgAE/AGAmw0e4OWuY5MgAkwASbABJgAE2ACDhHwaKMZa/X6+Xn3ttIOaZ8TMwEmwASYABNgAkyACdhEoK5NsThStRHA2ptvvvkm1a5dm7DvTP/+/cXmENUmgIcUhCXctmzZTN9++62QuHPnLvTUU0lOXTIMy5C9/XY+YctruE6dOon1lRs1amQ3JeQFV11rqWKpNaxBrPG57777aPLkyU7jgzWy33nnHbGxAtoptgsePHiIfg1k1BVrye7e/RYdPHiQatWqJcJiY2PJlvW0nSU/2gnkwFJ/Kr0hHPEQzksC2t20RQIw3LQpl06cOCHOwTIhIbHa2nvVpK6+VGhfL7/8En355ZdUt24deuCBBygtLb3K1yP6k23btuqvv549e9LIkaOUbbz6asolMYEaTsD+TQTdJ8WECeN13bt3dR+BHJRkwoRxun79wnTYchXbpOIXW/1i62De0vcmXGyBjK1ksdUyOOEPWyxj+2RnbdmLMpCfo2WsXLlC5DNkyGAd/pCnttX0zRo590iTHdtma3xwDGYIc9Slp6fpwsL66ttp4bFjujHJyUbtFO0V7Rb+CNfaM9IhvSWn6ddQfk2/BQX7LCXVh2FbemzHHRYWqhs9apSoe0ZGutF1BBnhBy6Ig7jQT07Oa/p8+MA6AWw7j63bDXWNbe79/Pys6tp67p4fY9OmXF3btq1FO0Nb0/7uv79NlforXD9gC8a4rrTrDzqALtgxASbgOgJ4m+mxriYZzTCuYCBXVFSY6WNqairffH6ngpsCbjolJSVmnPCQAaPH0QeMoqIikY+sDNyoYIzZ4nBzg04vXbqkj45j+FkzHPUJ7DxA3cEALEwdbq4Ic+TGCoMWD3aydgrDNj5+hCgWvzg3dUiH9CrjHbJBRhgDps5W/SJvGBWGeaBcyGP4AIpjXFuG+kEapGXD2ZS++jwhIV6pa39/P52tDzrqEjw3ROuvNEPZ9Lddu7Z29VdgCaaq6w+6YMcEmIDrCLDR7Dq2duWsMhSQCW7q6GzZ6cRbWpkxprFJTk4Wb2C086r8wqDFW06Vg9FrzRCoNLzlNzfc8HDjQxxnOxh7MARVDuwcMQhhaMoMcpSHeqEdHz/+ifiV3dgRD+mRj8zhrZwl/aJuluTXHhoMDWbDcvA2FA+oyAN6lDk8LOF6c/ThS5Z3TfPDlx08ZKgcdD1pUooquMb7T5s2Vf9m2dRgxjneQONB3FYHlqrrD3lAF8762marTByPCXgTAa8d09yqlY/bDbzx9/eXytS8eXPq0qUruaPMUoFd6Nm0aTNavWq1soSgoEBat24dTZs2VRnHWkDbtvfTypWrlNGioqNo7NinleEIgJzJyaOpQYMGZvHgN2rUaHr++alUVlZmFu6IR8eOnSg+Pl6ZRZeuXWjp0iU0e/YsZRxrAUHBwdIoqNeDDzxEQ4fG0SP9+kvrjoRIP3bc09L23KJFC3px3nxp/vDs1r0bbd261aL8Dz34MKmupdGjR9PMF2bSjRu/0uxZc6TltGvXjiIGRFL37l2l4expTACsVO6PDzxAz015VqprVRpv8r9x44boq2ztr+rXr0+zZs1WIuoZEEADB6r1oUzowoDS0nIX5s5ZM4HqJeC1RrO7XcgwiK9du6Y0NL777lsqKvqoyhNHqrdZua60lJSJgpOqBExIGjRokJiwp4pjzT8xMYGuVVQoo5WXldOcOZk0ZozacF6bnU31bq+nzKNly5bk7/9H+vDDygmCyoh2BqxZo36gQFYVFRU0elQyTUxJsTPnyug9enSn69evK9vpvyr+Jdjs3btXmT/SN2nShE6fPmsWJytrEV38tnLipVng7x5DhgyhSZMmS4MxQWrjhg3SMHg2aNiQWrduLcJb3HuvMl5gUKAw0FNTq/7wpcy8BgWA9wYLvC9dukSdOnWm/Py3a1Ctba9KXNwQ+vTTysmRqlTJyWMoM3OuKtjIf9CgxwhM8SJF5nREtH37Tp6AKYPDfkzACQQ8esk5J9TfbbLo2zeM9u17VyrPh4WFwsjw8fGVhnuTZ3h4OO3YuVNaZTx05Ofn08MPB0jDbfWMiIignJwcaXSUsStvJ/Xu3Ucarnne+O0GwbhWOazI0aVLF1Vwlf3bt29PW7ZsUabHW9pmdzdThlsLiI6Oob1790ijFRcXU0nJefEwgV+cyxzSIx+Zw1teyChzYI+6oY6W3IW/X1AGX/ruO7EqDVZ3wLHKvbv3Xerald80q/ho/lht5ODB/XThgpx5/u7dLmnnWvnu/jt48GCqW1f9bgqrJA0b9oTN1UCfAaYyBx1AF7wCjIwO+zEBJxHw5LEoNWkioDYGFpO1DJ02MQmrAbCrJIDxsKbjXjF+FuNVtYlojrDCWFZM9pOVYeskPm0CkGwyIfwcnZBnqX7axCzDMcU4Rn2io+VjiS3lZxhWOYbVfKIh6oRx2tp4Y/zi3LT+GI+JulsadwkZIatMflsmOkF3snGfyE+bhIhxpFjJw7AMrZ7ahEke06wRsfyrTWI2nFCJFGDsynZuWSr3Ce3VK0A5rhkr6tjjtImypuOgtQnG0AU7JsAEXEegFrJ2kv1d7dlgc5PCwmN05szn1V62Kwo8fPgQpaZOoY4dOlFwSDAVHiukc+e/Ep/u4uKGuqJIj8wTQzAwTANrEIf1DaOrV6/SwUMHKDg4hLKyFjtlrVKsq5qeniaGIvQL66cvY/jweJo5c6ZN3LDmNj67Ll2yRIzjxZjf/QUFND0tjcaMSabnnptiUz72RgIfXBtnzpylx4dWtptdeXnUo4cfZWevdZgP2CD/Zs2aUWhoKJ09c5YOHNxP06Y9b1SnFSuWi7Vpxfhgv+70wQcf0I8//khr175q8W2Ypt/Tp88Yye/n112kVa23rHHCkIHx48fSlCmp9MQTT4qhJHjr/eK8edS+Q3vRRhA3IyOdSs6XUGpqqtAP3mTv2LGdMjPnUE5OLvXvH65lyb9WCCxYMJ/WrXuVhj3+BPm28hVffH777TeruraSbY0IRnuOixtMX3/9Nf3666+iTnj7HBAQQOvXb7T7etSuvzp16oihaGWlZbRz1w4aP34CvfDCn2oEM64EE3BXAmw0u5lm0MF+9FERffHFF+LzcJ8+gXZ3qm5WJZeJg5vHxx9XjgnGcAlXfJbUyoChho1J7B0ig01AVq9epR+qgAlqMOaqwyDTZIcCXMEHxin4+/j4iA1LZMasYXuGDPZs7uKI/EiL8d179rwj2l+bNm1o6NDHjYx6BOTm5tBrr22kb775RsR77LFBNHFiikvakiigBv/DhjRoE+Xl5aK92aPrGoxFXzXD9hwZGWl3X6LP6PcDw+uvKn2TaX58zgSYgHUCHm00W68ex2ACTIAJMAEmwASYABNgAo4T4ImAjjPkHJgAE2ACTIAJMAEmwARqOAE2mmu4grl6TIAJMAEmwASYABNgAo4TYKPZcYacAxNgAkyACTABJsAEmEANJ8BGcw1XMFePCTABJsAEmAATYAJMwHECbDQ7zpBzYAJMgAkwASbABJgAE6jhBGqE0RwdHUWLFi2s4ari6jEBJsAEmAATYAJMgAncKgI1wmi+VfCcXS7WtF21aiWFhoZQq1Y+1KNHd0pLm07wZ2dMABvBxMZGC05gNXnyJLFGrHEsx86wOUlsbIxRGVhr1V6H9WuxXjP+qpLe3vIQH2u4ggnY4C8pKVGUX5W8ZGkq22mwyBvtdMaMDEI9DR3O4Y9wyBAaGizat2Ec1TFYQWZN/qrot3KN6I9o584dFrlDJ4hTucawcR1U8rG/MQFTXeO6weY27CoJOLu/Alutb1Jdf8yeCTABFxBw3WaD1ZdzVNRA3cKFC6qvQBeUhC17sT00toLWth7G79TUVF337l11vKXvTejz57+o8/PzE1slYxtk/FVu2euny8vbdTOiA0fp6Wlim2VtO2ZsU7tx4waxHa6tW5pDZxMnThBbCUOv+MO2wtjq25X6BANTPpXbVzuHD7a5xnbi2pbvYINtrw23x9a224a/tr0y4iOdta28nSE/thP29W0pmIM7tszG9WW4fTeOIQu21tb0gzRoX+xsJ6DpGteHqa5xHXm7Q3vClvK4Bp3RX4Gp6fUH9obXn7cz5/ozAVcRIFdlXJ351gSjefr054WBLOMGwwPGFzudrqioSNwctAcLQyanTp0SYWVlpYbedh+jDNzkcIMzdTD8cHOyxehNSIgXOjXMB8fQpzXD0bRcW89Rdxh+Mj7wQ5gjfJYvXyZu2IZ10mTDjTsxMUGc4hfnpg7pcMNHPjIH2cDXEflhMKMMzYDTytEMC+gOfyEhwUIXWjh+kQZpFyzw7Idwwzq5+jgkJEg8tJqWo+naWQ+ypvl7wrkt/ZUtfYlWV7BE+5Rdf3hxAF2wYwJMwHUE2Gh2HVu7coahYHqT1zJABwljx57OVUtb035hzCxb9oqyWngzv2HDemW4LQEZGelSI0BLi5sWblCWXEHBPvF2U3ZzQzq8+bSWh6X8VWEwGGGUqxzCEKeqLiYmWv+GWZYH2vHbb+cLw1cWDj88eCAfmbNFfpXBjfxwjageGhCO9oE3fygHb5dlDtehow8Xsnxroh+MQrRllcPbVe1BShWnJvs7u78CS+0Lj4wbvpoYfk2RxWE/JsAEqk6grgtGfHhElhgr6W6uefPmUpEaNGhAXbp0pe7du0rDvcmzadNmlJu7SVnlbt270euvv05z52Yq41gL6NixEw0fPkIZLSo6iqZNmyr+VJF8fX1pzJinCbqTuaSkJFq9erXFPGTprPlB9vj4eGW0Ll270NKlS8SfMpKVgKDgYGWMngG9aNKkFIoYEKmMg/TF8afEeGXTSC1atKDp09NMvfXnPr4+Qr8vv/yS3s/0AGW3a9fO1FucPzVyJD377DN048avtGTxUmkcXIfDHn+CAgP7SMPZ05iAJV2379CBTpw4LtW1cS4188wV/VVm5lwlrPvb3k8DB6qvPWVCFwaUlpa7MHfOmglULwGvNZrd7UKGEX/t2jWlkfXll19QUdFH5OPjW70txM1Kw8Syc+e+In9/f6lk5WXlFBsbS889d1gabotnYmICXfruO2UZn5/9nObMyRRGsSq/tdnZqiDh3/K+ltStWzc6evQDi/HsDVyzZrXFiaMXL16kkSNH0aRJk+3NWsTHpKMLFy4ojdK/f/13wWbbtm3K/JG+TZu29MEHx8ziLFy4kCoqKsz8NQ9M7hsyZIhSfkzm27hhgxZd+tu6dWvh36BhQ2k4PH1b+VJq6lTxp4zEAWLy5MsvqR9g0Kf17NmLNm/e4pW0nN1fYfIfmKrcP3/+J23fvpP69OEHPhUj9mcCjhDg1TMcoefEtDExsbRjx3ZpjpjZDyPR2w1mwHnwwQdp7dq10hsHbia78nZSePgAKUdbPePi4mj9+vXS6DD4du7aQZGRlt/m3FH/DoIBr3KffPIJ9e7dWxVcZf8HH3yIcnNzlHzy8/MJcarqoqKiKXvNGmnyDwsL6ccffxAPE/jFucwhfWBgoCyI+vXrR1u2bFHKj7pZkr9Ro0YEw13l8DCEOC1btqTPPvtUFY3AqXdvNjyUgH4PwIPfufNfUXFxsTTq5k2bKCAgQBrmDZ7O7q8iIiIITGUOOigpOS8exmXh7McEmIATCFR9ZMetSZmdvUaMN7xy5YpeAKwuAX9PdtoMdNNxrjjH+EqMHWRXSQAT7DAe1XAMOCaOOXMCF1ZawPhXwzHJmGiIMYO2rK6AsbUY34s0ps5ZExZN89XOtdn1hnxwDD4TJozTolXpV6sXxpUbsqmcIOmn01YWwS9W8DAcf4n4SAculsbnQ0bIKpPfltUYoDvVJESxikHBvt8nlPpJJxzimsMkQXa2EdBWOzFs69A1xs9jYpolXdtW8D3jDAAAAutJREFUgmfHcmZ/BZZgCraG119ln+Kc1XE8mzZLzwRcS8DjJgKePl0sjEjNSN6z5x1xfuzYB64lVQ25w3DGDR9GRfLo0bqwsFDRQbLBbAwfNw5MsMHDBDgNHjxIMHNkgptxCZUTyjAh0LQMS5PQTPOAMYH0MOBwU8MfjuHn6hUFYNijHLDBH45tMfZN6yA7RzuFIWDcToP1BrOWBoYzjE+04+Tfl9tDOlsmKjkiv/YAiocejTsmpMFgNjS6oUsY9jCStXgwRlAvW2TU6sm/OtGewU3oevRo0d5cvbSip3BHf4V2h2vQGf0VVpgBWy0/MAd7V/cpnsKb5WQCriRQC5k74YV1tWbx+uvbxA6AV69epcaNG9OMGTMpPj6hWmVwZWHYbAFjN/EZGZ8/2ckJgJG2WYirxvA5Wgbk27JlM3377beiEvfddx8lJT1VLXo1lB3tCO3JmQ4bWpSVlVttp1p79vX1sWuIkSPyIy02YPnqq69ElVF3jHWPjHzUCAHGQG/btlU/DrxTp040cuRIu+Q0ytDLT8ATzl5dewM2w/bsjP5Ku/7Azhn5eYMOuI5MwFECHmk0O1ppTs8EmAATYAJMgAkwASbABOwhwBMB7aHFcZkAE2ACTIAJMAEmwAS8kgAbzV6pdq40E2ACTIAJMAEmwASYgD0E2Gi2hxbHZQJMgAkwASbABJgAE/BKAmw0e6XaudJMgAkwASbABJgAE2AC9hBgo9keWhyXCTABJsAEmAATYAJMwCsJsNHslWrnSjMBJsAEmAATYAJMgAnYQ4CNZntocVwmwASYABNgAkyACTABryTARrNXqp0rzQSYABNgAkyACTABJmAPATaa7aHFcZkAE2ACTIAJMAEmwAS8kgAbzV6pdq40E2ACTIAJMAEmwASYgD0E2Gi2hxbHZQJMgAkwASbABJgAE/BKAmw0e6XaudJMgAkwASbABJgAE2AC9hBgo9keWhyXCTABJsAEmAATYAJMwCsJ/D8OZ3mJm7E+MgAAAABJRU5ErkJggg==\"/></p>\n<p style=\"text-align: center;\">[Source: Philipp Schatz, Dimo Dietrich &amp; Matthias Schuster. Rapid analysis of CpG methylation patterns using RNase T1<br/>cleavage and MALDI-TOF. <em>Nucleic Acids Research</em> (2004) <strong>32</strong> (21): e167, doi:10.1093/nar/gnh165.<br/>Reproduced by permission of Oxford University Press]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the stage of mitosis labelled X in the image, giving a reason.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Copyright 2002, The Trustees of Indiana University]</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline what is indicated by the mitotic index of tissue taken from a tumour.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>DNA has regions that do not code for proteins. State <strong>two</strong> functions of these regions.</p>\n<p>1.</p>\n<p>2.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the difference in methylation pattern between tumorous and normal tissue samples.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a way methylation may affect tumour cell genes.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>telophase because the chromosomes/chromatids have reached the poles<br/><em><strong>OR</strong></em><br/>«late» anaphase as some chromosomes/chromatids are still moving/tails visible ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mitotic index is an indication of the ratio/percentage of cells undergoing mitosis/cell division ✔</p>\n<p>b. cancer cells «generally» divide much more than normal «somatic» cells ✔</p>\n<p>c. a <span style=\"text-decoration: underline;\">high/elevated</span> mitotic index in tumours / possible diagnosis of cancer /measure of how aggressive/fast growing the tumour is ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. promoters / operators / regulation of gene expression/transcription ✔</p>\n<p>b. telomeres/give protection to the end of chromosomes «during cell division» ✔</p>\n<p>c. genes for tRNA/rRNA production ✔</p>\n<p>d. other valid function for non-coding sequence ✔</p>\n<p><em>Do not accept stop codon, accept centromeres (connecting sister chromatids).</em></p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «overall» much more methylation in the colon tumour samples than normal ✔</p>\n<p>b. tumour and normal samples the markers 258 and 269 similar degree of methylation/fewer differences ✔</p>\n<p>c. degree of methylation on certain markers may correlate with the presence of cancer / correct example of a marker only methylated in tumour cells <em>eg</em> marker 32 ✔</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «DNA» methylation may inhibit transcription of genes that would prevent cancer/tumor formation ✔</p>\n<p>b. «DNA» methylation may increase mitosis/cell division leading to tumor formation ✔</p>\n<p><em>Do not accept discussion of histone methylation.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Both anaphase and telophase were accepted as answers, but students had difficulty providing a reason that was an appropriate justification; for example, students might say telophase and then support this with the statement because chromatids are seen moving to opposite poles. Students sometimes referred to chromatids as homologous chromosomes. As this is an image of plant cells, students would be mistaken by referring to a cleavage furrow. The mechanism of cytokinesis involves the formation of a cell plate.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students could accurately define the term mitotic index. An area of misunderstanding was to categorize the mitotic index as a rate rather than a ratio.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well answered. The occasional answer made reference to processes associated with translation.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students detected that greater degrees of methylation in tumour samples. Fewer could accurately summarize the specific differences between methylation in the two samples.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Students lacked the understanding of epigenetics necessary to make reasonable suggestions.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d1-2-14-non-coding-sequences-in-dna-do-not-code-for-polypeptides",
+      "d1-2-protein-synthesis",
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-8-identification-of-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division",
+      "d2-2-6-methylation-of-the-promoter-and-histones-in-nucleosomes-as-examples-of-epigenetic-tags",
+      "d2-2-7-epigenetic-inheritance-through-heritable-changes-to-gene-expression",
+      "d2-2-gene-expression-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.22",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   function of the atrioventricular node.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how the structure of cardiac muscle cells allows them to carry out their function.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. relays signal from SAN to ventricles ✔\n </p>\n <p>\n  b. causes ventricular systole ✔\n </p>\n <p>\n  c. delays signal enabling both ventricles to contract simultaneously\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  delays signal so the atria empty before ventricular systole ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  <em>\n   Not necessary to present answer in a table.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for each set of corresponding structure and function.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A large number could state one correct function of the atrioventricular node, mainly that it causes ventricular systole.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Many could provide a correct description including many elements, but many discussed the structure of the heart as a whole, rather than the cellular structure of cardiac muscle cells or discussed at length the myogenic nature of cardiac tissue.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b2-3-9-adaptations-of-cardiac-muscle-cells-and-striated-muscle-fibres",
+      "b2-3-cell-specialization",
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The graph shows blood pressure changes on the left side of the heart during one heartbeat. Identify the <strong>two</strong> parts of the circulatory system that produce traces I and II on the graph.</p>\n<p style=\"text-align: center;\"><img 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k1WysToCCCCQegGCjdRXcfUF9LtLOEFI9ZbVbqEWDd0pfOXK/E3qdNHGVLfVKcrsxIkT5pk9z5jm5oeq25i1FySgAeHPPLPb9PY+xT1gFiTIRggggEB6BRggnt66pWQJFFDXKQ0KV/cf3S1cD1J1Ahos/k//dNtcvXbV6GaIpPoLqEVDM6Wpux8JAQQQQAABrwDBhleD1wjEREC/FB840McMVAuoD7Vs6KJXhqT6C7gB4bTA1d+aIyCAAAJJFKAbVRJrjTynUmBi4kphfMGpUydtGXWHbFL1At5f2HO5nG0pYrB49Y7zbcGA8PmE+BwBBBBAgGCDcwCBGAgo0BgeHrZjDNT1Rxdxb397i2lvb49B7pKbBXXvedtDbzOrVq+y3dOSW5L45ZwB4fGrE3KEAAIIxFGAYCOOtUKeMifQ2rrcPPLI2sIYg927nzHLljErWK0ngoK2JUuWmt/4zd+odVds7xFgQLgHg5cIIIAAAhUFGLNRkYcPEWiMgLr4dHZ2Fg6mFg0NuCXVJqDZkf7mb35gvve979W2I7YuEmBAeBEHbxBAAAEEKggQbFTA4SMEGi2gX4zb29cZN2aj0cdP2/E0dkPd0fAMr2YZEB6eJXtCAAEEsiBAN6os1DJljLWAd2C4uv28/vo0dwsPscZOnTpl96aB4krzTYc7PX3DaBuNSbh1a8ZoKl1uUpevEAaE5x34FwEEEEAguAAtG8GtWBOB0AV0AayB4e5CeGRkxDz44IPcGC1EaXVH0+PP/vRPzctnzsy7576+PqNf7xVsKCn4UNIydR/SBXcWEwPCs1jrlBkBBBCoXYCWjdoN2QMCCxbQWA0NDF+yZIndhy7ouroeX/D+2NBf4Pn/fMisWbPG/M7u3UUrqetaX99+s2xZ/qZ0g4PH7D06Fi9eXLSe3pw+fco+FBCOjJzLzLgaBoTPORVYgAACCCAQUICWjYBQrIZAPQTcwHDdOVxJ3Xe4OVo9pI290d+VK1ds64Q7glop2tvfZwMIt0zP5QINjf/4zneumcOH+21AODOTv2mgWjv00LgQ1wri3VcaXvf2bucO4WmoSMqAAAIIRCBAy0YE6BwSgXICulBdvLi53EcsC0FAwcKNGzdsYKGbJWrGr6ee6rUDyAcHjwe6p4mCEG1berNFBS1q9VD6yldO2X1pmVoEVq1anegxH2r1UTlkREIAAQQQQKBagftmZ2dn/TZqbW0xudy038csz5gA50O4Fe69s7Uu5t7znlVm//4+s2NHb7gHYm9FAmfOnDG//PDD5p3vepdtiQhriuHx8XG7PxeIaFYxDfZ36ZVXRmzQoaDyxo3pQMGN2zaqZ7XWKNg4efJ0ogOmqPw4LgIIIJB2gSDXhrRspP0soHyxFRgaOmE6OjpMR8f6wqDjlhZu5FfvCrt79465+M2LNtgIK9BQnvN3e793x/fx8YtGAci1a5rV6pYdE6L1uro2mtu3b9tialpejRHRbFeuC1aYearFUuOHFGioWx+zcdUiybYIIIBAtgUINrJd/5Q+QoG2tjazYsVKmwNdlDILVWMqY8OGTjMzM9OQgykAyQch9w6ngeW6kL927Vphxit9umXLlkJLyLp16wpT7ipQUSo3juTeXsN9pWP29u4wuikiExaEa8veEEAAgawJEGxkrcYpb2wEurs3FfKiizsu6gocdX2xdOlSo0dUSS0XepTWtyYH0NTHCkRcK4fyqJYQdcdSMKoWBnffj3oGIRoQrmNpnAsJAQQQQACBWgQINmrRY1sEQhJQVxpStgUUgJQbr6MgxHuTQRdkbN262baOhB2EMCA82+chpUcAAQTCFiDYCFuU/SEQQODmzZuFX9f1K7amUaVffAC4EFfRndvVjc1NOxzirkPdlYKQci0Mhw8fMefO5VtCdKdznUc6hzQNr5YrqTvW7t3P2K5cClI0G1el80wDwvXQgPBGdtsKFYydIYAAAgjESoBgI1bVQWayIDA8fNZMTk4WLiDVV18XgLRuNLb2def2jo4ZO0C/sUcO52g6Z8oFDroDupYrsFAAku+S1W4He7vpeTUwfc+ePXYKXwUh6rq1bFmL7cbFgPBw6oe9IIAAAgjkBQg2OBMQaLDAkiVLjR5KuhBUf/ytW7c2OBccrru72zQ3P5Q6CL+WkL6+A7aFY3p62oyPXyiUu7//sDl+/F43PgUqGk+iIET3CtH+tIyWjgIZLxBAAAEEqhAg2KgCK86rjo2dNz09nzDDw181bW1rirJ69OiAGRh4oTADj6Za3bZtm/EOUC7agDd1FVi7dm1h/xoQrLRxY1dhGS8aI1D6/6QxR43uKO6GhMqBt1vWnj3P2ODi4sVx+x3hpl9Wd6oDB/oKGVaXLHWvUhBy7NigDT50w0K1iCggISGAAAIIIFBOgGCjnErClqnv+c6dT5fN9d69zxp129m377Omp2ebXUdBidYfGnopsV1IyhY2gQt1AaiLuHLdYRJYHLKcQAGdg+Wm6NVg9XXr2m1woUBk1apVtnRqFTlypL9QUg1Qv3r1u7YrlpYrWGlubrYBNOd1gYkXCCCAQGYFuIN4wqv+4MHnzMTEhFm/fr3Ra2/Lhu4l0Na22gYZhw49X1RSLVcLx9GjXyhaXulNkLtEVtqez4y5c+dO7AckZ6me9H9Ej9bW1iwVO5SyapyHWjkUrCioUJdADU6/ePGi3b+CEN1TREnT97rAQ1203KxbbvtQMsROEEAAAQQaLhDk2pCWjYZXS3gHVPeosbEx20Khu1GXJv26mMtNly4uvM/lcoXXvKi/gAIN1VlnZ6ft6qYLLf1KXHq/hfrnhCM4AbUK6v/Q7/zOboJAhxLw2QUPbnV1pVI3KyWd25ohy3Wv0jmuYOTGjWmjMSJdXflug+5u6m763sHB4zZ40ViRxYub7b5Kb4rojsczAggggEAyBAg2klFPZXPZ0dFhdu7cVfazSgsVZORbPdoqrcZndRDQNKtuULL6vavbSaWAsA5ZYJceAY3b0P+FuE9/68lyIl6qtUMPlzTDVbmk5bqTumbOcgGKtlMLye3btwubvPjioA3K9f9F9aUfUtStq7390aLjFDbgBQIIIIBAbAQINmJTFdVnZKEDXDVYXEmDxMslNYmRwhfQBa03OFSrhusHH/7R2GMQAV20MlFCEKn6rKMWj3Ite+p+pVYQtYZo9iwFFUoKStz0vXp/+HC/nb5XNyLUZAsarK4WEQ2AV8uLAhh199Jrb/BTn9KwVwQQQACBcgIEG+VUUrxM3XjU5UoDxv2CFb9f2glCwjsxdBGkvu3bt+8Ib6fsCYGUCKj7Vb4LVntRidQS4lpJxsfH7cB2raCuVgpK1HVLwYUGtCvAUBDiDU70/01TAGudezc+bGdGrSJl3iCAAALhChBshOsZ671pVioNItev695f2KvJ9Natm+0vh/qDzy+F1cjNXVc3VtuyhftrzJVp/BLvHd0bf3SOuBAB71gOvxYSBRb6P6bgQ0mzaynpvXdGLbUwvvrqOXtfEXXhcuNRtF83mF3BjZL3uHYB/yCAAAIIVBQg2KjIk54P1aLhAg21atSS9KugHvqj+/jjG22fazfAc//+A/YPtRsMSveFvLTGySjY+9SnttvxAQrUxsfzs/bUUhdsG47AF7943GzY0Gm890AJZ8/sJUoB/T/T91RpgKAAQg9vNyvlU99XCjD0/aXPNFBd6+n5qad6C0XRDwVupi1vcKJpf/kBocDECwQQQMAKEGyk/ETQYErdU0M3/VOQsdAWDcfkZptx79U3WgM8FXyoC4P+QCv19u6wy916boCnfh3Ur4r6o6xuElkJRvTLuXfaW128qOxuth7nxHM0AitWrDBNTYuiOThHjUzABSMuA/r/6LppuWV6VgDyla+cst9x+r7Tdnro+06BieuSpXUV2GjcSHv7++wgdwUmGkvinWlLXb50Q0S3vn3BPwgggEBKBQg2Ulqxrli6gZ+m9wwj0HD79D77dV8YHDxmB3i67gvuoloX2cePHyvsYvPmLfaPu2Zm0h2L83/Em82WLVsKA0cVoGi5Ls6TmvSLeVtbfvYvXaDoV1IFat47OSe1bGnI95NPbk5DMShDHQVc64i+81zS95K6X7mk/9tapqQ7s+u9fohR0o8x+qyvr8+8/vq9KcndDzH6/st/Bzbb70S3H7sx/yCAAAIJFiDYSHDlzZd1ddtRoKGkLlR6eJNm4pmYyP8h9C4P47WCCz3cH2i3T/WhdgM09YfYBRDqS61AREmzNKnlQ3/UFYQcONDnNrezN+mPu/6AHziw3/466KbBdBcB+qXRBTeFDWPwwk2vqvIpuf7jMcgaWUAAgRAEvAGCG+tRult1n8y3BOdbgd13pHfb0m14jwACCCRZgDuIJ7n2Gpz3IHeJrEeW1LKhACLf9WCVDUJcsOG9W/HVq9+1f8SfeCJ/wzDlxdu3WoGLS/rD7i4GvL9Gus/r+awZctS64zfrVz2Pzb4RQAABBBBAAIGwBIJcG9KyEZY2+6mbQP6Xv+IpMNUiUjp+RBnQcs29r8BESUGFHgoo1HKi/tYuqWVB67u+1W75K6+M2OXeG4jpMwUnbl+a79+1yrjt/J41OHxyctLeOVzrqCWG7lN+WtEtV0ugEvfdiK4OODICCCCAQPoECDbSV6eZL1G52WAUJHj7VnuRNCDUG4QsW7bMflx6AzHtQwGHZp/xDgh1Yy9KB7+77hGXLn3LvPHGG4Vgg0DDqx+f14sWNZk33rgZnwyREwQQQAABBFIgQDeqFFRio4oQpKmsUXmJ8jjq0qW7Fau1RGnjxq5CS4h37n43+P0b3/iGefHF/2Z+6Zd+ya7P9JhR1h7HRgABBBBAAIGwBIJcG9KyEZY2+8mMgAafu/Ee3kJ7WzgUkLipLf/u71433//+983Xv/6a0f1Ienuf8m7GawQQQAABBBBAILUCtGyktmrDL1iQ6DX8o7JHBBBAAAEEEEAAgTgKBLk2fEscM06eEEiLgG7mpwHipGQIaCD/mTOnk5FZcokAAggggEACBAg2ElBJZDG5Aq+9Nmrv3p7cEmQr5zMzM2Zqaipbhaa0CCCAAAII1FGAMRt1xGXXCOiu4c3NDwGREAHd6b21tTUhuSWbCCCAAAIIxF+AYCP+dUQOEyzQ1rYmwbnPZtaXLl2azYJTagQQQAABBOogQDeqOqCySwQQQAABBBBAAAEEEDCGYIOzAIE6Cdy5c8doDAApWQKqs9HR0WRlmtwigAACCCAQUwGCjZhWDNlKvsDLL58xo6NfS35BMlaCXO66uXz5ktFMYiQEEEAAAQQQqE2AMRu1+bE1Ar4CS5YsNc3Nzb6f80E8BVasWGm6u41h7EY864dcIYAAAggkS4BgI1n1RW4TJNDZ2Zmg3JJVJ9DU1GQY2O80eEYAAQQQQKA2AbpR1ebH1ggggAACCCCAAAIIIOAjQLDhA8NiBBDItoDuJk5CAAEEEEAAgdoECDZq82NrBMoKaDaj4eGzZT9jYfwFFGhogD+DxONfV+QQAQQQQCDeAozZiHf9kLuECszMvJnQnJNtCWhweP7u7wzw54xAAAEEEECgFoH7ZmdnZ/120NraYnK5ab+PWZ5SAdW7X+J88JMpXq57bGigMQkBBBBAAAEEEEirQJBYgZaNtNZ+DeXyCygqBSE1HC6VmxJopLJaKRQCCCCAAAIIVCnAmI0qwVgdAQSyI8Ad4LNT15QUAQQQQKA+AgQb9XFlrxkWyOVyRgPESckW0CDx48ePGXWJIyGAAAIIIIDAwgQINhbmxlYI+ApMTFwxU1NMm+oLlJAPdPd3dYe7e/duQnJMNhFAAAEEEIifAAPE41cnsc1RkEFAsc18AzPmpkvVjEYkBBBAAAEEEEAgrQJBrg0ZIJ7W2qdckQkQZERGz4ERQAABBBBAIGYCdKOKWYWQHQQQQAABBBBAAAEE0iJAsJGWmqQcsRDQYGINLCalQ0B1eebM6XQUhlIggAACCCAQgQDBRgToHDK9ApcvXzIvv3wmvQXMWMk09e3U1H7A5mIAACAASURBVFTGSk1xEUAAAQQQCE+AMRvhWbInBMyKFSvNnTvMXpSWU2Ht2rWmtbU1LcWhHAgggAACCDRcgGCj4eQcMM0CGhzOAPF01TD1ma76pDQIIIAAAo0VoBtVY705GgIIIIAAAggggAACmRGIJNg4ePA5o3l5yz26uz9ohoZOZKYCKGi6BLjbdLrqU6XRfVMY9J++eqVECCCAAAKNEYgk2HBFGx7+qsnlposeumvv3r3PEnA4JJ4TI6CL0j/6oyP24jQxmSaj8wqMjZ03w8Nn512PFRBAAAEEEEBgrkCkwcbc7Bhz9OgXjAKOs2f5417Oh2XxFWhqarLnrp5J6RHo6FhvOjs701MgSoIAAggggEADBWIXbCjQUJqYuGKf1eWqrW21be1w3a7cr4xHjw6Yjo5HC92xdu582miqSm8q7bLV0/MJk8vlCquU7kPduNz+tZL2qeN7k46hvGjfSpXyqH3pmC7veu3K5t0nr5MvoHN3585dNuBIfmkogRPQAPG2tjXuLc8IIIAAAgggUIVA7IINFyx4/7hrmQIEdblSy0d39yajIEEX+du2fdIuHxu7YNfRxbxL+lzjP/KfTZuJias2GOnp+bhdRYGA1tm169OFrlya5lIBhjcgcfur9Fwuj+p+oX0pue5iel0a8FTaL58hgAACCCCAAAIIIJBUgVgFG7pgd60Tu3btKjLdtGmTfa9AQ4GAggS91i/JSgoSDh06ZFsNFIgojY2N2V+Z3Tz5+uVZ40QUfChduZJvPVE3CZcUzCgwcNu45UGevXnU+hp7ov0MDb1U2FyvlQ/ln4QAAskQ0HcTg/+TUVfkEgEEEEAgXgKRBhvqsuS6F+nZdVfSBb83ABBZW1tbQU4tBkrr198LEvLrrLEX8ufP5z/Xxb8CE7VulLu4d9u7Fo5qWzMKGfrpC28etS89Ssvh8unKULoP3idX4MyZ08xalNzqq5hzfYe89tpoxXX4EAEEEEAAAQTmCkR6Uz+1Mni7S83NXvkl+pVRSS0HepQm97lr9dBgc13cq8VDLQ3qeqXPFAgosFFwoosJ1yKiz/bt+2zpbqt6PzPzpl1f+9WjXFI+3RiVcp+zLFkCCi7Vv3/lypXJyji5nVdAd4Zvalo073qsgAACCCCAAALFApEGG8VZCf7OXaC78RuVtlTg4IIOXfQr8FArh4IOdcNyj0OHnrddsAYGBgpBRy0BR3PzQzZbYQQulcrHZ/ER2L59B8FjfKoj1JwwG1WonOwMAQQQQCBDApF2o1qos+ua5MZcuP2opUBdscp1mdI6PT3bzL59++zq5bpMqZVFAYyCmXKfu+MEmU1KwYweGjdSmtR9TI9GJXUT83ZZY4B6feRdEFyfvbNXBBBAAAEEEEAgeQKJDDZ0Ea/AQd2eXNcnBRoaXK4LPs0upeQu6r2Bw8GDB+06atFQUKLgRBfjLml/2pcbz7FmzRr73h1H+9I+giTlQ4GJm5FK26jbl5a5oCfIfmpZxx0/P34lfwPFvN/H50wTXMtx2BYBBBBAAAEEEEAAgVKBRAYbKoS6Pamb04kTX7KDzN3g8qGhLxe6smjmJw3a9t6LQ9tquS64tb0CgvysUS12P9qf9q1gRsl1g8p3vWoxmjbXzTplV6jwTz4g+oK9qHcD4ScmJmzriWudqbB5KB+dOJEfL+LKo526gfPeICuUg2V4J7p7+OTkZIYF0l10zUSlHxy8P1yku8SUDgEEEEAAgXAE7pudnZ3125UukDUNLCm5AgqkNFZF9xhx3Xw0WF5dqRRsufEsQUrI+eCvpJmodCG6e/ce/5X4JNECR4702zuJL2RSi0QXnMwjgAACCCDgIxDk2jCxLRs+ZWZxiYBabhRkeGfE0iB51xWtZHXeLlBg7dpfsReiC9yczRIgoAkACDQSUFFkEQEEEEAgVgK0bMSqOuqTGXX/KB00r65kfl25FKX6JVq6/GRYjgACCCCAAAIIZEsgSMtGIqe+zVY11lZaF2h4pwlWK4e6UfkFHH4BRaUgpLZcsjUCCCCAAAIIIIBAGgXoRpXGWvWUaWDgBduCodm3XNJgcXWj0j1FSOEIaAYzUroFVMejo9xFPN21TOkQQAABBMIWINgIWzRG+9PFkR6akas0qe95kPuFlG7H+7kCmolKLUh6JqVXQLONXb58yWhmKhICCCCAAAIIBBOgG1Uwp0SupYHhasEoN11nPghZk8hyxS3TTU1NZsmSJUbPpPQKKGhvalpEPae3iikZAggggEAdBGjZqANqnHap2ag01a1+eXdJYza0bNeuXW4RzzUIKKjTTEVuauEadsWmMRZQMMlsVDGuILKGAAIIIBBLgcQGG7o7uN9N6XSDP+9du0vltZ0GO5d7aFvvhXnptkl7r/EZup9GfrrbfJn1WgPG/WajSloZyS8CCCCAAAIIIIBAPAUS2Y1K3YJyuevGO+h5IbzlbmrnZm+6fv26vZP4QvYbt20UcHjvIB63/JEfBJIioHE5auGgFSspNUY+EUAAAQSiFkhky4a6ANWrO4PuqK19+7WaRF1hHD9+AjpXdE6S0i/w2mujfDekv5opIQIIIIBAiAKJDDbUDWjTpntTuc7n4bpN6d4SQZIGVWsAtZutSS0p6pbl7XalfZUbeB1k/6yTLgHNUkTKhoAGiev7gYQAAggggAACwQQSGWwoCAg63kCBhgIFdbnSTeyCJAUR6ibhWk96ej5ugw/d7E6PsbEL9n2lcSFBjsM66RDQ4PCg52M6SpzdUug7gbrObv1TcgQQQACB6gUSF2zkWymWB/p1UV1bXKChAdFB0sGDz9kWDc3ipKSZmxR87Nu3r7C5ftns6Oiw66kFhJRtAfrvZ7v+KT0CCCCAAAII+AvcNzs7O+v3sboN6Zf8OKW9e581y5cvNxpb4Zc0o1Rr63I7iFzrTExcLVrVtXYULfzpGwUS27Z9cs7+1Zqi7ltKExMThT762ndWLjbjeD6Uq0OWIYAAAggggAACCNRfIMi1YeJaNvKDw+feEbuUU8GBujyo5UGtFeWSZqNyXaPcs7pIlQYyGp+hqXbHxsbsbtavXz9nnXL7Z1n6BXR+MTg8/fXsSqj6PnKk3zBOx4nwjAACCCCAQGWBRAUb7qIuSJ9pBRoao6GxGprO1g32rswx91Ntq+OqG9bw8FftPSsUjNB9aq5VFpfovHJBaBbLn7UyZ6UVM2v1SnkRQAABBOonkKhgQ92XggQa4nIzxhw69Lzt5rR3794FKV65csVuV3pc5YWEgILaj370SSAyJKAJAVauXJmhElNUBBBAAAEEFi6QqGBDYybUhamapF8iNdhbv0Av5M7ga9assYcbGHihcFgNOnctJbRwFFgy+ULnFxee2ap6WjeyVd+UFgEEEECgNoHEBBuaEWqhdw13N+pTwFDtvTG0rR4KVNx9NnSxofEeSi7oqK0a2BoBBBBAAAEEEEAAgfQJJG42qvRVQXJKFGTGgeSUJpycqmWLX7rDsUzKXm7evGlnpOvs7ExKlsknAggggAACdREIcm2YmJaNugixUwRqFFCL16VLl2rcC5snSWBqatJcvkydJ6nOyCsCCCCAQHQCD0R3aI6MQPIFNBHB0qVLk18QShBY4JFH1tr7+ATegBURQAABBBDIsADBRoYrn6LXLtDTs632nbCHRAk0NTUVZrtLVMbJLAIIIIAAAhEI0I0qAnQOiQACCCCAAAIIIIBAFgQINrJQy5QRAQRCFdAdxO/cuRPqPtkZAggggAACaRQg2EhjrVKmhgjogvP48WMNORYHiZfA8PBZ7hwfryohNwgggAACMRVgzEZMK4ZsxV9A095yU8f411M9ctjRsZ4pj+sByz4RQAABBFInQLCRuiqtvUCaM5k0v0BbW5vRg5Q9gbVr12av0JQYAQQQQACBBQgQbCwALe2b5HLTZYtIEFLMolmJSAgggAACCCCAAAL+AozZ8LfhEwQQQMBXgAHivjR8gAACCCCAQEGAYKNAwQsEqhMYHR1lzEZ1ZKlZ++bNm0Z3j2fMTmqqlIIggAACCNRJgGCjTrDsNv0Cly9fMhMTV9JfUEpYVoBudGVZWIgAAggggECRAGM2ijh4g0BwgQ0bOhkgHpwrVWsuXbrU7Ny5K1VlojAIIIAAAgjUQ4Bgox6q7DMTAsxIlIlqppAIIIAAAgggUIMA3ahqwGNTBBBAAAEEEEAAAQQQ8Bcg2PC34RMEfAU0ExGDg315MvHBpUuM2clERVNIBBBAAIGaBAg2auJj46wKaHD48ePHslp8ym2MmZqaNBMTE5FYaGIC3ffm4MHnCsfX7FhaNjx8trCMFwgggAACCEQtwJiNqGuA4ydSoLm52axcuTKReSfT4Qh0d28y3GsjHEv2ggACCCCQXgGCjfTWLSWro0Bb2xqjBym7Ago49SAhgAACCCCAgL8A3aj8bfgEAQQQQAABBBBAAAEEahAg2KgBj00RQCDbAtzUMdv1T+kRQAABBOYXINiY34g1EJgjoMHhk5OTc5azIDsCuVzODA8PGz2TEEAAAQQQQKC8AMFGeReWIlBRQNPe3r17p+I6fJhugSVLltg7yOuZhAACCCCAAALlBRggXt6FpQhUFNi+fQeDgysKpf/DpqYmoxmpSAgggAACCCDgL0DLhr8NnyDgK8AsRL40fIAAAggggAACCBQECDYKFLxAAAEEqhPQfTa410Z1ZqyNAAIIIJAtAYKNbNU3pQ1B4ObNm2Z0dDSEPbGLpAvobt3csTvptUj+EUAAAQTqKUCwUU9d9p1KgampSXP58qVUlo1CVSfQ3PxQdRs0eO3u7g+a1tYWowkNaknaXvvR/iqlIMc7ePA5u69KQVqSj6dyyUrl9Ethli/JxwtyLoRZvqQeT+dRWP+3gngm+Xhh/t/y+//L8uoF7pudnZ3120xfmLnctN/HLM+YAOdDvsLVsqEvtJUrV2bsDKC4CCCAAAIIIIDAPYEg14a0bNzzysQr96uGnkkLE1i6dCmBxsLo2CqgwPT0DbN162b7CLgJqyGAAAIIIBBLAYKNWFZLfTKlX+MrNe3X56jsFQEEggrcunXL9PXtN48+2m7a2x81g4PHg27KeggggAACCMRSgGAjltVSn0zt3Pl0zX2365OzZO1Vd4xmBqJk1Vm9cqvz4MyZ06H8vzp2bNC0t7/PTE9PmwsXxs3u3XvM4sWL65V19osAAggggEBDBAg2GsIc/UGOHh0wExNXzK5dn44+MwnPwdDQCTMxMZHwUpD9MATUWjg1NVVTsDE+Pm7a29eZwcFB25IxOHjMtLQsCyN77AMBBBBAAIHIBbiDeORVUP8M6Jf4gYEXzL59n+Wu1yFwr1ixwrS2toawJ3aRdAGN3+np2bag80HjMvr6+sz4+AWzZ88zZseO3qRzkH8EEEAAAQTmCBBszCFJ3wJ1n2prW2MvioIMDNfMAiR/gSef3Oz/IZ9kTqDawFPjMtRl6siRfrN9+w4zPv5Nuktl7qyhwAgggEB2BAg2Ul7Xe/c+a2Zm3jRDQy8FLqnfdMcEIYEJWRGBsgKnTp20A8BXr15tx2XQXaosEwsRQAABBFIkQLCRososLcrY2Hmj8QUKNJqbm0s/5j0CCIQgoPuuKKlLlV/SuIwDB/abmZlbdlxGe3u736osRwABBBBAIFUCBBupqs7iwpw4ccIu6On5RPEHxhjXtWp4+KtzPmOBv8Dk5KRREKfuLyQEJPDaa6N2drJy5wTjMjhHEEAAAQSyLkCwkeIz4OjRL8wpncZsKNDQZ93dm+Z8zoLKApp96O7du5VX4tNMCWzY0Gk0CYM3MS7Dq8FrBBBAAIEsCxBsZLn2KXvVAmvXrjVtbW1Vb8cG6RVQ9ylvFyrGZaS3rikZAggggED1AgQb1ZuxRcYFmpqaMi5A8csJeMdl9PcfMV1dj5dbjWUIIIAAAghkSoBgI1PVbWzXKb/ZpjJGQXERCEVA4zKef/558/Wvv2Z6e5+yd/4OZcfsBAEEEEAAgRQIEGykoBIpQuMERkdHbTcqb7eZxh2dI8VJwI3LePHFF8073vEO82d/eta8813vilMWyQsCCCCAAAKRC7wl8hyQAQQSJHD58iUzNTWZoByT1XoIaFxGV9dGe/dvTS392GOPmf/3r/9aj0OxTwQQQAABBBItQMtGoquPzDda4KMffdJUe8foRueR49VPQOMyjhw5bG7cmDZ9fX2FcRkPP/xw/Q7KnhFAAAEEEEiwAMFGgiuPrDdeYOXKlY0/KEeMXEDjMvr7+83IyKt2XMbJk3sizxMZQAABBBBAIAkCBBtJqCXyiAACkQi4cRmDgy/aVozx8W+axYsXR5IXDooAAggggEASBQg2klhr5DkyAd28jW5UkfE39MAal6HWjGXLWszJk6fN6tWrfY8/MXHF3Lz5huns7PRdhw8QQAABBBDIogADxLNY65R5QQJjY+fN0NCJBW3LRskRuHr1qtm6dbMNNDQuY75AQyVToKGAg4QAAggggAACxQK0bBR78A4BX4EVK1aaO3fu+n7OB8kWUJepvr79hXEZg4O9gbtMdXR0GN1dnoQAAggggAACxQIEG8UevEPAV0D31uD+Gr48if7gyJF+48ZljIycMy0ty6oqj+4qz53lqyJjZQQQQACBjAgQbGSkoikmAgjMFdDsUuoqpXEZg4PHTXt7+9yVWIIAAggggAACCxYg2FgwHRsigEBSBTQu48CB/fZ+GXv27DFbtmytuSiXLl2yd5enhaNmSnaAAAIIIJAiAQaIp6gyKUp9BY4fP2Z0QUlKroDGZezZs9sOAG9vf9Soy1QYgcbMzIx57bVRMzExkVwcco4AAggggEAdBAg26oDKLtMpcPcug8OTXLMal9He/j5bBAUZu3fvCTwAfL5yNzc3m0ceWWu46eN8UnyOAAIIIJA1AbpRZa3GKe+CBT71qe0MAl6wXnQbNmpcBvfYiK6OOTICCCCAQHwFCDbiWzfkLGYC9MWPWYXMkx03LkPPfX0HQukuNc8h+RgBBBBAAAEESgToRlUCwlsEEEi2gLtfxhNPdBmNyxgf/2ZDAo07d+4YPUgIIIAAAgggcE+AYOOeBa8Q8BW4efOmOXPmtO/nfBAPgWPHBu24jOnpaXPhwnio4zLmK6EGhx89OjDfanyOAAIIIIBApgToRpWp6qawCxWYmpo0U1NTC92c7eosMD4+bmeZam5eHNn9MjRIXA8SAggggAACCNwTINi4Z8ErBHwFNNPQkiVLfT/ng2gEpqdv2CAjDuMyNBMVs1FFcx5wVAQQQACB+AoQbMS3biLLWWtrS2THjuuBNTicC8n41I7GZfT3Hza694mmsNXdvxcvXhyfDJITBBBAAAEEELACBBucCHMEcrnpOcu0gCCkLAsLGyygcRkKNDT4W+MyWlqWNTgHHA4BBBBAAAEEggoQbASVYr1MC2iAuPrjM/1tdKdBHMZlzFf6oaETpqNjvWltbZ1vVT5HAAEEEEAgEwLMRpWJaqaQtQroIvLy5Uu17obtFyCgcRlbt242vb3bTW9vr3n11XOmvb19AXuq/ya5XM4oMCUhgAACCCCAQF6Alg3OhFgJqC++BvtevDhu8zU+fmFO/hYvbjarV6+2y9eta7ev691fv61tjWltXT4nLyyon4DOBXWZOnKk32zfviMR4zJ27txlrl27ZtQKo3O03udl/fTZc6MFdM4oXbt21ejc37Gjl/On0ZXA8RBAoC4CBBt1YWWn1QiMjLxqRkZG7AXa668Xjxd5+9tbzLJlxQPWFYycOzdSdAitp1+79ejqejz0P9KdnZ1Fx+NNfQVOnTpp+vr22wv2uI3LcBeFpQHxxYsXi1B0To6MnAv9XCw6CG8SK6DvPZ1LOo8UoJamVatW2e+y0uW8RwABBJImcN/s7OysX6Y1INhvsLDfNixPr0CY54MCBv1qrT+4t2/ftmjr1q2zg37VWvHWt77V3L59y6xYsdIsXZqfclZ3Zx4ePmvfq1+8utfcuDFt/1iXBiAbN3aZLVu28Mc6YaejLr4OHNhvZmY029SRSLpL6VzSL8vuF+b8+xlTGkw4WhcQa6D6smXLTEtLi9FNBdUic/hwf0PuXu7ywnO8BfSd1d/fX/Z7T8GFWm314wqTHsS7HskdAgjcEwhybUjLxj0vXjVAQBeTR44cLly4KSjYsGGDefDnHjSdjz1WGIA9NnbejI2N2XtbuGDDZe/Onbv2pf4g6/HXf/1t+wv4H//xC+Yv/uLPbSuJghi1fuhCcOvWrXRJcHgxfdZFWF9fn1G3uT17nrH1Va+suiBVzwoKXDChZxf4eo/tgonNm7cUgol8YDH3onBmZsaO2diyZasZHHzR/nKt16RsC5T73tOPIe9//68Z3TBUP6q4ySf0o8qZM6ftRAOl333ZVqT0CCCQVAFaNpJacxHkO0j06pct7x/bBx980PT2PlUIAPSHVQNr1S9/IXdgnpycNLrIa2trK/zB1rL/8fLL5n/++ddtF4XSY/rls9xy7UstKrqfAylcgdJxGQo0ah3noH26AELdU3RuqJVCrWCl3fRUGp0bGl+RDyDyLRN+wcR8pXdB8t69+0xv7w4bPF29+t35NuPzlAq4IFo/fLjvIAUZOr+U9L0yMTFhuru7jcaFKbkWXLXeEmxYEv5BAIEYCwS5NqRlI8YVmIas6cJvz57dtpVBf2x/67f+vVm9arXp3rSpcFH55JObaypquZvtKXiZNbPmT/7kv5u//du/ta0p6taiX5vr/ct5TYXJ0Ma1jMvIBxP3ujq5iQT8ujqpi566p6iVS8HMqlX5wdtuooGw2PULtUsaP6SLTOU17OO4Y/AcXwF93+ihpB9SHnnvI+Y7V79jfuZn/k0h093dm8wjj6wtCirUwlHrd2LhALxAAAEEYiBAy0YMKiEpWQgSvXrLoq5MCjTUNUV/bHWR/61vfcvkctfte++6jXj95ZdeMn94+A/NG2/cNOofffjwkcAXgfp1fCGtLo0oV9KOEWRchmudcF2dbtxQl6cb9sK9XFenfH/3fBChenL936OcIlf5ffTRdnuu9/UdSFo1kd8FCii4fOaZ3bZFVUHu/v0H7PeMa4Fdu3btAvfMZggggED8BIJcGxJsxK/eYpujICeUMu9tzVCrw+///h9EMtC3FFLdtaampmx3hoGBF2wQpK5RdI8qlarfe80wpRYNBZ6aCEDnihuIXal1wnV1ctMeaxD2Qrs61a90c/f8+OMb7WD38fHimarmrsmSNAho0osDB/rMz/3cg+aJx58wv/3006Zcy2saykoZEEAAAQkEuTakGxXnSqgC3l/1NKD2bQ+9zTzwQDxOM3VNcC0UH/nIR2yri7o5qAWmmlYO/WJ96tQp2x2nq6ur0P86VMiU7EytGLduaczENaPWie9///s22NMFWWlyrRNu7I6CEaUoWydK8xjkvTvHtK7ulfDMM3vsOaYpmUnpFPD+wKLzePfuZ2wQ7QZ9p7PUlAoBBBAIJkDLRjAn1goQvbpuU8JStxHNNKWuA96B23GC1EXh737uc+bc10bM/fffb6daLXdBODo6an+dbG1ttV15uro2Fs1apKBqz549mQw6FHhp4LVrnciPpfCfJlbdSpLWOlHtOXv06ICdXUj3ZtFFaHv7+2w3mpMnT1e7K9ZPgEDpDyz67qt1koMEFJssIoAAAlaAlg1OhIYJqGuMfsHVNKGDg8cKYyHi3D9Zffvf/2vvN+9973vNF/7rF8xTT/WW7V9/+fIl09S0yCjYcGNQvvKVfMuGuk2cPn3KPtLaJSsfQNyy9zNRgOYCi3I3IiudJjYOYyca9p/gpwfKT2O6yL7TRadmXnMtaOWC2Ubnj+OFJ6CWu97e7fbHh0/v+g/m6Z07CTTC42VPCCCQEgFaNlJSkY0ohl/06vopL1/+DrPxsY3mdz//+UZkJ9RjeLtBqKXC++ukWmcUaHz72982H/vYFjvGwzvOQ7/uKwjRTEi6uFaw5aa2DDWTddqZyu5aJFx3J5VJyyoNxm5vf7SuMzvVqbgN36181RqmxB3FG85ftwO6H1g0nuhzn/u8uX79/5hPfWp70cxSdTs4O0YAAQRiIuB3bejNHsGGV4PXFQXKnVC6yNYv+7rIPtD3e+Yt999v4tyaUbGAxphPfvKT5i//8s9tedTtxdsdYuvWzfYCfHz8m0XL3T5d0KWLD939Ok6/YrvuTnr23siu3FSxfoOxNX2r18OVm+f5BfQLuAJVdSOjO9X8XnFfw/u9px8XHnxwsb0/BvfFiHvNkT8EEAhboNy1YekxCDZKRXjvK1B6QmlmoePHj9mxGbq4TsOF6KVLl8xLQ0Pm9Jl8AOUCDnexOF9XKbUG6GZuunnc4cP9ppF3j/Z2d1IlanYn/apeqbtTfkanZbGYKtb3xEvoB96B4iqCu++CWs70/4WUPAFvC6jGpKXley95NUGOEUAgLgKl14bl8kWwUU6FZWUFvCeU60KwfPlyc/78N8qun+SFrnxqsenv/yPT1/f5iq0a3rLqgkStILrID/PCUvst193J787Y+fESi426OylpdicFhNxgzltb9Xut4ELTnurGbS65X8S5UHUiyXlWq6B+SND/6w996EPmV3+1w2zY0Em3qeRUITlFAIE6CHivDf12H485Sf1yx/JYCrgLcd3rYFP3h2KZx1oz5VokNOj9Ix/5kLl7964dqxGk9UbrqEVELT/qYqYU9Jds193JDcJ2wUW57k7ar7rlKHjQnbGTcu+JWusmKdt3dKw3d+/eKcquzoNly5bZVg6N49D7pE3tW1SgjLzxDgRXi+Uv/uIvGrWCMrVtRk4AiokAAjUJ0LJRE1+2Nlb0+sorI+aJJ7pst5uBF46af/sLv5DqO2u/9NKQ+cM//C/mQx/6sB00Xm2Nu1+yXQuHCybc2Al3Z2y/1gk3u9OqVautc761opkL1GorImbru2miNQBfAaPuy0DQ+wVuGAAAFA9JREFUEbNK+ml2XPc3jWXSjwi0DMaznsgVAghEIxCkZYNgI5q6aehRNe+/7pitPuRK+sV127ZtRd07gmRIJ5T+4CppVp0kzbgUpHz1WscFHOX2XzoYW60iCiyWLcvfIbvcNixLnsCdO3eMplDWtLhuELG6xfX3H7bjnlQiBZJqUeNGkdHWr/cHgf7+fjv+qrPzMfOZz/xH8+53v5vWjGirh6MjgEDMBAg2YlYhUWRnePis2bnzabNz5y6zb99nbRZ6ej5hxsbOm7GxC3ZK16D5WrHiXbYPuqaFXbv2V4JuxnrGGHU90yxQLpjQM7+QZuvU0C/kCjR6erYVFVwXt7oj/cmTJ+2FrT5U4KGgU+eIe9Y5Q7on4MYw3VtS/Mq1HhYvNYVxT2659lNuEgV9rnrYv/+A+fGP/8FMTEwwta1D4xkBBBD4qQDBBqeC2bv32UJg4ThyuZzp6HjUHDr0/JwLH7dOuef16ztMd3c3f3DL4bAMgXkE1Lrh7eOv96+9NmpbOzSQXEljdM6dG7EziZUbp+O61WldN5NY6WFdV7vS5XrvdwFebl03XqjcZ2EtK1fGsPbttx+v4U9+8hNz//33m1//9Q8UVtf7n33rz5r3PvKIefjhh+1ytQqrvlyrVGFlXiCAAAIZFwgSbDBAPOUniVow2trWFJVSN6jT4/z581UFG7pp1d69+4r2xRsEEAgm4A003BYK/HUR64INtWT88Ic/tP8/NT4gf8Gfv3u7Jin4wQ9+YG7dyneH1LiPcjdddPuu9dl7UV7rvrT9P//zP5sHHnjAvOUtbyns7sMf/g3z8z//NvO2t72tsOxHP/qR+fGPf2ze+c532vX1wT/+4z+aye9PmpZlLebtb3+7XVceP/6HH9vXv/nRjxa2v/CNb9hWxA9s2GBnjdIHujHnyy+fMY88stZ0dnbadRVAaOru5uZms337jsL2o6OjtsubBoG7pHX0ICGAAAIIVC/AmI3qzRKzhf6YtrWtLupC5TLf3f1B+3J4+Ktu0bzPQaLXeXfCCgggUFFAF7szM28ajRNwF7juAlgti+7HA/3/Hh39mmltXV50I80zZ86Y//uTn5h/t2JF4Tha9/Xp6aJf6/WhZlTSMVywo2W6MNf63ptz3rx507bCeKd6VZCkbprNzQ8VLuC1vS7gtb26i7mWgImJK2Z4eNi0tbUVxoppHb+L/TfeuGnXc+XX8aemJovGvLi86tmbf+VL+3bH1uckBBBAAIH6CAS5NqRloz72idhrLne9bD514pAQQCAaAffLu/foHR0dNijQAHOXFi1aZKdk1oW1NylQ0bIPf+QjRcHK3//o782//Mu/FFZ1AcSSJUuKLtbVGqrtdQHvLvZ18a+k59KL+KamRYV96oUmoCi92FeApKBEx3JJ+9ZNMktTufLrmKXH1XbeIMPtRy1I5VqR3Oc8I4AAAgg0VoCWjcZ6N/Ro+oNfqWVDwcbExNXAeQoSvQbeGSsigAACCCCAAAIIJFogyLXhvc6ziS4qmV+IgLpfkBBAAAEEEEAAAQQQqJcAwUa9ZGOwX3VT0EBwDUItTepqoc9ICCCAAAIIIIAAAgjUS4Bgo16yMdmv+k9rcKY3KfjQY82a4lmqvOvwGgEEEEAAAQQQQACBWgUINmoVjPn269evt4GF7rfhkl6r1aP05mLuc54RQAABBBBAAAEEEAhDgGAjDMUY76O7e5O9c7imqNQgHj00cFw39HMzzcQ4+2QNAQQQQAABBBBAIMECzEaV4MprdNYVqJAQQAABBBojkMtNN+ZAHAUBBBBYoECQ2ai4z8YCcbO6WZL++AX5DxCXekxSXmWWpPwmKa/Y1vd/ZJLOBeWVhAACCKRBgG5UaahFyoAAAggggAACCCCAQAwFCDZiWClkCQEEEEAAAQQQQACBNAgQbKShFikDAggggAACCCCAAAIxFCDYiGGlkCUEEEAAAQQQQAABBNIgQLCRhlqkDAgggAACCCCAAAIIxFCAqW9jWClkCQEEEEAAAQQQQACBuAsEmeWPlo241yL5QwABBBBAAAEEEEAgoQIEGwmtOLKNAAIIIIAAAggggEDcBQg24l5D5A8BBBBAAAEEEEAAgYQKEGwktOLINgIIIIAAAggggAACcRcg2Ih7DcUgf3v3Pms0AMg9du582uRyuRjkLBlZWIjfzMyMWch2yRCpPZfDw2dNd/cHC+dkR8ej5ujRgap2LOO2ttXm4MHnqtouSyvr/3lPzycKzvoOCOo1NHTCqF683xtZsitX1lo8vd8HOm+rPd/L5YdlCCCAQCMECDYaoZzgY+jCQhd2hw49b3K5aTM2dsEGGj09H09wqRqX9YX66QJvYmLCDA9/dY67LpKznFwg1tzcbCYmrlqfbds+aS+CdYEbNClozrrlfFbOyJ2HR49+wchYF76Vki6EBwZeMFpf3xvafmLiig1cKm2X9s8W6qntxsbOF8734eFXfupbXYCddl/KhwAC8RQg2IhnvcQmV/lfkDeZnp5tNk+tra1m27ZtNuCgdWP+alqIn7bRhZmc29rWFNz37dtn3au5oJ4/h8lbQz4KEhQAK+BQ2rlzl9G5eeXKlUAF0sWwjEn+Avr/XXoedndvMnrowtcvqW4UaCgAdOevnvVe22X1e2OhntrOfY+4813nukxPnPiSXzWwHAEEEIiNAMFGbKoifhnRHzk9li9fXpS5jo719r3+AJL8BRbqp4s5/RrsAjx3BHeh8eabb7pFmXxWQCELXXB5k87LIOekLnjV4rRr16e9m/O6RMAFFG1tbUWfrFmzxn4v+AVrLhjUeexNCgh1XpfWm3edNL9eqGclE1rmKunwGQIIxEWAYCMuNRHDfLiLidKLAy56g1VW2H7qVqVUGvwFy0161pJDa2txAKzS6bzUxdd8F2AHDx60gVxpMJceoXBKcv36dbujUmv3/1/BdLkkf62Ty10vGu8xX9ercvtK07KFeur7V+eqC+JkInt9vxAwp+kMoSwIpFeAYCO9dVv3kvldbNT9wCk5QLV+J06csL8Kc5Fc+QTQRa5f0gXvzMybZt++z/qtwvKAAn7nr7uo1jiDfJfLaTvWQEGixiKRygv4eWptdRlU0sBwDbjXwHt1o1JrEQkBBBCIuwDBRtxriPwhYMckaAaw63bALSALE9BYFz28Yz0Wtie2qiTgWpf0q7vrSqWWDgUe6krkuhNV2gef3ROQZ37mteW2G5q6omliBCWCt3tOvEIAgfgKEGzEt25in7PS7lWxz3DMMhjUzzujlRtwG7OixCo7pd1+lDldsGnQslo03JijWGU6gZnxO3/d8o6OjqJSubEfrjtg0Ye88R3LogA532XqXiuGgrdNm/ID9QneOHkQQCDuAgQbca+hCPPnLmxLm/d14ab00EMPRZi7+B86DD91RdHMSZpC1P1KHP+S1zeHumgt11VK56UuwvQoTbpg03mswM3d90FdUpTkq2XuvC7dNqvv3digUmvn5IKKUh/3veDWK/28XP2UrpPG9wv1dBNCuO8TZ0Pw5iR4RgCBuAsQbMS9hiLMny4m9HB9sF1W3C9p7o+dW85zsUAtfvolU/2yZa17FBBo3LPVbEi6kC0NgmVVekHmtnIzIakLinu4rijus6xeBDuj0mfXAlTaEuFmA/Ozdi0a588XT4/r9uP2W3q8tL935XYOrrzzec4XpPA97CR5RgCBuAoQbMS1ZmKSL13kur7uypIu8DRQWRca7o9nTLIay2wsxE/G6outC+qhoZd8L6BjWeAGZEqmCgzyg73zrWxqnZCbxgWQwhFQsKz/5+p+5mZW04xIelSapEDb6HPXmqTc6FzW94aWa79ZTAv1lJlMNYuaC7DlOTAwYL+D+R7O4tlEmRFImMBshbRs2dsrfMpHWRB48803Z5999j/N6lxwj0984uOz169fz0Lxay5jEL+zZ//M2j733B/Y4+nZWZd7fvrp3645X0nfwYkTX5r94AefKDi95z2rZgcGXigqlnOUb7mkupGvcy+3TtaXXbnyv2f1/917Hur7wJv8nFUfqhe3bWn9ePeRldcL9Sz3PcJ5m5WzhnIiEG8BfcfPl+7TCn7xkfoxq8sBCQEEEEAAAQQQQAABBBDwCgSJFehG5RXjNQIIIIAAAggggAACCIQmQLARGiU7QgABBBBAAAEEEEAAAa8AwYZXg9cIIIAAAggggAACCCAQmgDBRmiU7AgBBBBAAAEEEEAAAQS8AgQbXg1eI4AAAggggAACCCCAQGgCBBuhUbIjBBBAAAEEEEAAAQQQ8AoQbHg1eI0AAggggAACCCCAAAKhCRBshEbJjhBAAAEEEEAAAQQQQMArQLDh1eA1AggggAACCCCAAAIIhCZAsBEaJTtCAAEEEEAAAQQQQAABrwDBhleD1wgggAACCCCAAAIIIBCaAMFGaJTsCAEEEEAAAQQQQAABBLwCBBteDV4jgAACCCCAAAIIIIBAaAIEG6FRsiMEEEAAAQQQQAABBBDwChBseDV4jQACCCCAAAIIIIAAAqEJEGyERsmOEEBgPoGjRwdMa2vLvA+3np6jTDMzM6atbbXRMwkBBBBAAAEEqhe4b3Z2dtZvM10U5HLTfh+zHAEEEKhJQMHEwYPPmaNHv2C6uzfVtK96bDw0dMKcPXvWDA29VI/ds08EEEAAAQQSLRAkVqBlI9FVTOYRQKCeAleuXDHr16+v5yHYNwIIIIAAAqkWINhIdfVSOASSKTAxccV2tXLdqLzdqjo6Hi10w9JyrdvT84nCMrWUeFMulzM7dz5d+Fzbq8UiSBoePluxxUWfe4+tLlcuz0H2zzoIIIAAAgikXYBgI+01TPkQSJFAvkvTl233zp6ebbYLli72t23bZpft2/dZe7HvggmNtejp+bhRwDE2dsGus23bJ83evc/OG3CMjZ03zc3NprW1tayg9q396HN1N9Vj165P2zy545fdkIUIIIAAAghkSIBgI0OVTVERSLqAggp38b9pU36Mhy7w3XiPnTt32QBB3Z+U1MqhQOPQoUOF7bSO1h8YeKEix/nz5wv7LbeighEFHGvWrCl8rH0r6FAgREIAAQQQQAABYwg2OAsQQCAxAm1tbYW8qtXBL7nZoxQQKDhpa7sXEGgbBQj51o7zfrsw6iJVabxGR8d6u2+1tqjrlNYnIYAAAggggECxwAPFb3mHAAIIpEdAQYcemi2jXHJBSelnCkT0mQIKv6RgZ2joy+bEiS/ZVhK3L7WaqDuXa4Hx257lCCCAAAIIZEGAYCMLtUwZEcioQH7MxXIzPPzVqgTmGxjudqaAQoGFHgo21DVLrRwKVqo9ptsnzwgggAACCKRJgG5UaapNyoIAAkUCapnI5a7bQMD7gcZyVLpZn8ZreMdieLf1e63ARkGHWjZ0TBICCCCAAAIIMGaDcwABBFIsoMHjSpr6Vq0NSpopSq0P+qzcuA+1UGg6XTfo3G5U5h+1fqh7lneqWy3TOJH5ti2zOxYhgAACCCCQSgG6UaWyWikUAghIQN2chodfsbNS6f4aSq4FQjNHlUsKGDSgvFwg4l1fAcWhQ8+bEydO2P27z9S64bdvtw7PCCCAAAIIZEXgvtnZ2Vm/wga5BbnftixHAAEEEEAAAQQQQACB9AoEiRUYs5He+qdkCCCAAAIIIIAAAghEKkCwESk/B0cAAQQQQAABBBBAIL0CBBvprVtKhgACCCCAAAIIIIBApAIEG5Hyc3AEEEAAAQQQQAABBNIrQLCR3rqlZAgggAACCCCAAAIIRCpAsBEpPwdHAAEEEEAAAQQQQCC9AgQb6a1bSoYAAggggAACCCCAQKQCBBuR8nNwBBBAAAEEEEAAAQTSK0Cwkd66pWQIIIAAAggggAACCEQqQLARKT8HRwABBBBAAAEEEEAgvQIEG+mtW0qGAAIIIIAAAggggECkAgQbkfJzcAQQQAABBBBAAAEE0itAsJHeuqVkCCCAAAIIIIAAAghEKkCwESk/B0cAAQQQQAABBBBAIL0CBBvprVtKhgACCCCAAAIIIIBApAIEG5Hyc3AEEEAAAQQQQAABBNIrQLCR3rqlZAgggAACCCCAAAIIRCpAsBEpPwdHAAEEEEAAAQQQQCC9AgQb6a1bSoYAAggggAACCCCAQKQCBBuR8nNwBBBAAAEEEEAAAQTSK0Cwkd66pWQIIIAAAggggAACCEQqQLARKT8HRwABBBBAAAEEEEAgvQIEG+mtW0qGAAIIIIAAAggggECkAgQbkfJzcAQQQAABBBBAAAEE0itAsJHeuqVkCCCAAAIIIIAAAghEKkCwESk/B0cAAQQQQAABBBBAIL0CBBvprVtKhgACCCCAAAIIIIBApAIEG5Hyc3AEEEAAAQQQQAABBNIrQLCR3rqlZAgggAACCCCAAAIIRCpAsBEpPwdHAAEEEEAAAQQQQCC9AgQb6a1bSoYAAggggAACCCCAQKQCBBuR8nNwBBBAAAEEEEAAAQTSK0Cwkd66pWQIIIAAAggggAACCEQqQLARKT8HRwABBBBAAAEEEEAgvQL3zc7OzpYrXmtrS7nFLEMAAQQQQAABBBBAAAEECgK53HThdekL32CjdEXeI4AAAggggAACCCCAAALVCNCNqhot1kUAAQQQQAABBBBAAIHAAgQbgalYEQEEEEAAAQQQQAABBKoRINioRot1EUAAAQQQQAABBBBAILAAwUZgKlZEAAEEEEAAAQQQQACBagQINqrRYl0EEEAAAQQQQAABBBAILECwEZiKFRFAAAEEEEAAAQQQQKAaAYKNarRYFwEEEEAAAQQQQAABBAILEGwEpmJFBBBAAAEEEEAAAQQQqEaAYKMaLdZFAAEEEEAAAQQQQACBwAL/H71W2LOcx/5BAAAAAElFTkSuQmCC\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2019]</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the actions taken by the body to avoid infection when the skin is cut.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Hormones are distributed throughout the body by the blood. Outline the roles of <strong>two</strong> reproductive hormones during the menstrual cycle in women.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>I. aorta ✔</p>\n<p>II: «left» atrium ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. platelets/cut tissues release clotting factors ✔ <em>Mp a requires student to identify source of clotting factors.</em></p>\n<p>b. «clotting factors» activate thrombin «from prothrombin» ✔</p>\n<p>c. thrombin converts fibrinogen to fibrin ✔</p>\n<p>d. «fibrin» forms a clot/scab/mesh that seals the cut ✔</p>\n<p>e. phagocytic white blood cells ingest pathogens ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. FSH/follicle stimulating hormone stimulates the development of follicles/follicle cell division in the ovary «to produce eggs» ✔ <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Two different hormones must be identified. </span></p>\n<p>b. LH/luteinizing hormone triggers ovulation/development of the corpus luteum ✔</p>\n<p>c. estrogen stimulates development of the uterine lining/endometrium ✔  <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Description of role required as well as name of hormone.</span></p>\n<p>d. progesterone maintains the uterine lining/endometrium<br/><em><strong>OR</strong></em><br/>inhibits other hormones by negative feedback <em>eg</em>, FSH ✔</p>\n<p>e. HCG stimulates ovary to produce progesterone «in early pregnancy» ✔</p>\n<p>f. other verifiable hormone and roles relevant to the menstrual cycle ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was poorly answered with most students earning either one mark or no marks. It was more common for candidates to correctly identify the atrium rather than the aorta. ß</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question about clotting was well answered with most being able to correctly identify the roles of clotting factors, fibrinogen and thrombin, though in a number of cases, specific details were lacking.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Students were able to correctly identify hormones that played a role in the menstrual cycle and were often successful in outlining their function. A common problem was distinguishing the role of progesterone from that of estrogen.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-2-16-stages-in-the-cardiac-cycle",
+      "b3-2-transport",
+      "c3-2-3-sealing-of-cuts-in-skin-by-blood-clotting",
+      "c3-2-defence-against-disease",
+      "d3-1-5-changes-during-the-ovarian-and-uterine-cycles-and-their-hormonal-regulation",
+      "d3-1-reproduction",
+      "d4-3-12-evolution-as-a-consequence-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The images show parts of plants belonging to two different phyla.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: left;\">State the phylum of plant X and of plant Y.</p>\n<p style=\"text-align: left;\">X:</p>\n<p style=\"text-align: left;\">Y:</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Some plant families, such as the figwort family, have been reclassified on the basis of evidence from cladistics. Explain the methods that have been used recently to reclassify groups of plants.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Successful sexual reproduction in flowering plants depends on several essential processes. Outline the role of pollination and seed dispersal.</p>\n<p>Pollination:</p>\n<p> </p>\n<p>Seed dispersal:</p>\n<p> </p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>X: Filicinophyta ✔</p>\n<p>Y: Coniferophyta/Conifera/Gymnosperms ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «previous» classification used to be based on the appearance/structures of the plant/leaves/flowers/seeds/analogy/phenotype ✔</p>\n<p>b. «modern cladistics uses» RNA/DNA nucleotide/base sequencing/amino acid sequencing/homology ✔</p>\n<p>c. DNA mutation occurs at a relatively constant rate allowing estimation of when species diverged ✔</p>\n<p>d. a shared/common derived characteristic places organisms in the same clade ✔</p>\n<p>e. the number of changes in sequences indicates distance from common ancestor<br/><em><strong>OR</strong></em><br/>the fewer the differences «in sequences» means the closer the relationship ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>pollination</em>:<br/>transfer/dispersal/movement of <span style=\"text-decoration: underline;\">pollen</span> from anther/stamen to <span style=\"text-decoration: underline;\">stigma</span><br/><em><strong>OR</strong></em><br/>transfer/dispersal/movement of <span style=\"text-decoration: underline;\">pollen</span> between plants/flowers prior to/allowing <span style=\"text-decoration: underline;\">fertilization</span> ✔ </p>\n<p><em>seed dispersal</em>:<br/>«strategy of» distribution of seeds so that new plants have space/nutrients to develop/avoid competition/colonize new habitats ✔</p>\n<p><em>Accept any other valid role.</em></p>\n<p><em>Accept OWTTE. Answers must be about the role.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question requiring students to identify plant phyla from images was successfully answered by most. It was more common for students to correctly identify Plant Y as a member of the Coniferophyta phylum with a greater number being unable to identify Plant X as a member of the Filicinophyta phylum.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students were able to identify molecular sequencing as a method used to re-classify plants. Fewer were clear on the notion of original classification being mistakenly based on analogous features.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students were able to outline the role of seed dispersal in minimizing competition between parent and offspring. Slightly fewer were successful in correctly outlining the role of pollination in sexual reproduction with a number being unable to correctly draw upon the necessary vocabulary.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-2-4-clades-as-groups-of-organisms-with-common-ancestry-and-shared-characteristics",
+      "a3-2-8-using-cladistics-to-investigate-whether-the-classification-of-groups-corresponds-to-evolutionary-relationships",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "d3-1-12-dispersal-and-germination-of-seeds",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.8",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline energy flow through a food chain.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a fully labelled graph of the action spectrum for photosynthesis.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain Calvin’s experiment and what was discovered about photosynthesis through his work.</p>\n<div class=\"marks\">[8]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. energy from the sun/light energy is converted to chemical energy by photosynthesis ✔</p>\n<p>b. «chemical» energy flows through the food chains by feeding ✔</p>\n<p>c. energy is released «from carbon compounds» by respiration<br/><em><strong>OR</strong></em><br/>energy from respiration is used by living organisms and converted to heat ✔</p>\n<p>d. heat is not recyclable / heat is lost from food chains<br/><em><strong>OR</strong></em><br/>heat cannot be converted to other forms of energy ✔</p>\n<p>e. energy is lost in excretion/uneaten material/egestion/feces ✔</p>\n<p>f. energy losses between trophic levels limits the length of food chains<br/><em><strong>OR</strong></em><br/>energy transfer is only 10 % between trophic levels ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. axes correctly labelled «wavelength and <span style=\"text-decoration: underline;\">rate</span> of photosynthesis» ✔ <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Accept </span><span style=\"text-decoration: underline;\">rate</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> of oxygen production for </span><span style=\"text-decoration: underline;\">rate</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> of photosynthesis.</span></p>\n<p>b. 400 and 700 <span style=\"text-decoration: underline;\">nm</span> as limits ✔</p>\n<p>c. correct shape of curve involving two peaks at the correct places, broader in the blue-violet range not starting at zero and a narrower peak in the orange-red range with the trough in the green range that does not reach zero ✔</p>\n<p>d. peaks of activity at 430 nm <em><strong>AND</strong></em> at 660 nm ✔</p>\n<p>e. peaks indicated as «violet» blue light AND peak indicated as «orange» red light ✔</p>\n<p> </p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. Calvin cycle is light-independent ✔</p>\n<p>b. carbon fixation<br/><em><strong>OR</strong></em><br/>carboxylation of ribulose bisphosphate/RuBP occurs ✔</p>\n<p>c. algae placed in thin glass container/“lollipop” apparatus ✔</p>\n<p>d. given plenty of light and bicarbonate/ CO<sub>2</sub> ✔</p>\n<p>e. at start of experiment algae supplied radioactive carbon/HCO<sub>3</sub>-/<sup>14</sup>C ✔</p>\n<p>f. samples taken at intervals / heat/alcohol killed samples ✔</p>\n<p>g. C-compounds separated by chromatography ✔</p>\n<p>h. <sup>14</sup>C/radioactive-compounds identified by autoradiography ✔</p>\n<p>i. showed that RuBP was phosphorylated ✔</p>\n<p>j. after five seconds/immediately more glycerate-3-phosphate/3-PGA labelled than any other compound ✔</p>\n<p>k. shows glycerate-3-phosphate/3-PGA first «carboxylated» compound/the first stable product ✔</p>\n<p>l. next compound to be detected containing radioactive carbon was triose phosphate/G3P/glyceraldehyde 3 phosphate ✔</p>\n<p>m. showed that a wide range of carbon compounds was quickly made in sequence ✔</p>\n<p>n. showed that a cycle of reactions was used to regenerate RuBP ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Was well answered with most students being knowledgeable about ecology.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A number of students made errors in their sketches. Axes were commonly mis-labelled. The colors were commonly presented in the reverse order with red at the left end and blue at the right end. Showing red as a higher peak was another common error. The overall shape was often correctly drawn.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was commonly answered poorly with students showing a lack of knowledge of both the Calvin cycle as well as the Calving experiment.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-1-13-cyclical-and-linear-pathways-in-metabolism",
+      "c1-1-enzymes-and-metabolism",
+      "c1-3-6-similarities-and-differences-of-absorption-and-action-spectra",
+      "c1-3-photosynthesis",
+      "c4-2-3-flow-of-chemical-energy-through-food-chains",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Ebola virus disease (EVD) is the disease in humans and other primates that is caused by the Ebola virus. Fruit bats are the reservoir for the virus and are able to spread the disease without being affected. Humans can become infected by contact with fruit bats or with people infected by the virus, their body fluids or equipment used to treat them.</p>\n<p>The table shows data for four African countries that were affected by the 2014–2015 Ebola outbreak.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted with permission, from Ebola Situation Report, figure 1, http://apps.who.int/ebola/current-situation/ebolasituation-<br/>report-2-march-2016, March 2016, and from Successful treatment of advanced Ebola virus infection with T-705<br/>(favipiravir) in a small animal model, Oestereich, L. <em>et al</em>, 2014, under CC BY 3.0]</p>\n</div><div class=\"specification\">\n<p>The graphs show the progress of the EVD epidemic in Guinea and Liberia for the period April 2014 to May 2015.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Ebola Situation Report 2 March 2016 and data from <em>International Journal of Infectious Diseases</em>, 38,<br/>Ligui Wang <em>et al</em>, Epidemiological features and trends of Ebola virus disease in West Africa, 52-53.,<br/>Copyright 2015, with permission from Elsevier]</p>\n</div><div class=\"specification\">\n<p>An antiviral drug, T-705, was tested in order to establish whether it has potential to treat EVD. The graph shows the data from an in vitro trial of T-705 on cells that had been infected with Ebola virus five days previously. Virus concentration and live cells are shown as percentage of the control.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Oestereich, Lisa &amp; Rieger, Toni &amp; Neumann, Melanie &amp; Bernreuther, Christian &amp; Lehmann, Maria &amp; Krasemann,<br/>Susanne &amp; Wurr, Stephanie &amp; Emmerich, Petra &amp; de Lamballerie, Xavier &amp; Ölschläger, Stephan &amp; Günther, Stephan. (2014).<br/>Evaluation of Antiviral Efficacy of Ribavirin, Arbidol, and T-705 (Favipiravir) in a Mouse Model for Crimean-Congo<br/>Hemorrhagic Fever. <em>PLoS neglected tropical diseases</em>. <strong>8</strong>. e2804. 10.1371/journal.pntd.0002804.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the country with the largest number of Ebola cases.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the country with the largest number of deaths.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Analysis of the data suggests that the number of deaths from EVD is not related to the total population size. State <strong>one</strong> piece of evidence from the data that would support this analysis.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on the mode of transmission of the Ebola virus, suggest a possible reason for the relationship between population density and the number of Ebola cases in these four countries.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on the data, compare and contrast the progress of the epidemic in Liberia and Guinea.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> possible reasons for the drop in the daily numbers of newly infected cases after October 2014 in Liberia.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on these data, outline the evidence that T-705 has potential to be used as a treatment for EVD.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>District administrators combatting the 2014 Ebola epidemic in West Africa were assisted by international organizations such as the World Health Organization, who provided data on the progress of the epidemic. Suggest <strong>one</strong> other way in which international organizations can assist with combatting an epidemic of Ebola.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Sierra Leone ✔</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Liberia ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>country with biggest population/Mali has lowest number of deaths<br/><em><strong>OR</strong></em><br/>country with smallest population/Liberia has biggest number of deaths ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>greater density means more frequent contact with infected people/animals ✔</p>\n<p><em>Need both greater density and frequency of contact</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. overall pattern similar in both/both show a rise and a fall in the infections ✔<br/><br/>b. both countries show an increase during 2014<br/><em><strong>OR</strong></em><br/>neither country shows an increase in 2015 ✔</p>\n<p>c. both show a sudden drop at one point<br/><em><strong>OR</strong></em><br/>sudden drop earlier «Oct–Nov 14» in Liberia than in Guinea «Dec 14, Jan 15» ✔</p>\n<p>d. Guinea fluctuates whereas Liberia rises to a peak and then decreases/no fluctuations ✔</p>\n<p>e. epidemic starts earlier «in April 14» in Guinea than in Liberia «in June 14» ✔</p>\n<p>f. epidemic peaks earlier «Sept 14» in Liberia than in Guinea «Dec 14» ✔</p>\n<p>g. epidemic lasts longer in Guinea than it does in Liberia<br/><em><strong>OR</strong></em><br/>last case recorded in Liberia Feb 15 while cases continue «at least» until May 15 in Guinea ✔</p>\n<p>h. numbers of cases in Guinea generally lower than in Liberia<br/><em><strong>OR</strong></em><br/>number of cases higher in Liberia than in Guinea ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. improved medical care/support/supplies/equipment/training of staff/hygiene/distribution of vaccine ✔<br/><br/>b. improved understanding of how to avoid infection «amongst public»/greater awareness in society/better education✔</p>\n<p>c. rise in number of deaths means fewer infectious individuals ✔</p>\n<p>d. impact of disease control measures/control policies/quarantine/isolation ✔</p>\n<p>e. drop in the number of fruit bats ✔</p>\n<p>f. maybe seasonal changes/weather changes ✔</p>\n<p>g. people may have left the area ✔</p>\n<p>h. international aid arrives ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cells not killed/few cells killed «even at high concentrations» ✔</p>\n<p>b. «T-705» effective/viruses reduced/viruses killed at 100 μM<br/><em><strong>OR</strong></em><br/>«T-705» very effective/viruses much reduced/nearly all viruses killed at 1000 μM ✔</p>\n<p>c. virus concentration decreases as T-705 concentration increases ✔</p>\n<p>d. drug has «high» potential for treatment «at high enough concentration» ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>raise awareness/provide information for local population/supply health workers/equipment/ train local staff/share expertise/provide financial support/provide vaccine/travel ban alert to affected country ✔</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This set of data-based questions produced the best showing among candidates. Teachers are to be commended for developing these skills in their students. Many candidates showed confidence in looking at unfamiliar data and formulating answers. Some weaknesses included not being careful with what they were writing when there were similar aspects in the data set (total population size and population density), comparing and contrasting - many students finding this difficult and simply writing descriptions of the data set rather than focussing on similarities and differences. Also giving information on part of a data set where some aspects of the data set may be similar in name but fundamentally different (e.g. Total population and population density) – Some candidates used incorrect parts of data sets rather than those that had been asked about - for example, talking about Ebola cases rather than Ebola deaths, total population size rather than population density.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates correctly used high density and frequency of contact to describe the relationship. Very few responses discussed high density but did not relate it to the frequency of contact. Others focused on modes of transmission alone and did not relate it to density.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Data is described rather than interpreted <em>e.g.</em> epidemic starts in April for Guinea and in June for Liberia instead of epidemic starts earlier in Guinea than in Liberia</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a well answered response where almost all students got full marks. Students were able to identify more than three marking points here mp a, b, c and d were most common. Some students provided mp e and f. Few used mp g and h.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Graph was well read and understood by most. The question was answered with more insight than expected, especially when alluding to the implications of live cells at high drug concentrations</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, most students got a mark here for correct reasoning. Those who lost a mark made references to research. Research was not accepted as it might have future benefits, but not likely to help in the immediate epidemic.</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-3-viruses-(hl-only)",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.10",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the trophic level of the sea urchin.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   With respect to this food chain, outline what is meant by a keystone species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  herbivore/primary consumer ✔\n </p>\n <p>\n  <em>\n   Do not accept second trophic level\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. keystone species have a disproportionate effect on the biological community ✔\n </p>\n <p>\n  b. removal of the sea bream «due to fishing» ✔\n </p>\n <p>\n  c. results in more sea urchins ✔\n </p>\n <p>\n  d. which significantly reduce the producers/seagrass ✔\n </p>\n <p>\n  <em>\n   Do not accept first trophic level for mpd\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Primary consumer was frequently stated and second trophic level also seen, although not credited as the syllabus demands the former term.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The syllabus definition of a keystone species was not often given, so alternative wording had to be judged on merit. The keystone species was not always recognized as the sea bream, but if it was, three marks were easily achieved.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-2-10-classification-of-organisms-into-trophic-levels",
+      "c4-2-transfers-of-energy-and-matter",
+      "d4-2-5-role-of-keystone-species-in-the-stability-of-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.11",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   Yeast cells,\n   <em>\n    Saccharomyces cerevisiae\n   </em>\n   , were incubated with and without glucose at three different temperatures for a period of four minutes, during which the rate of CO\n   <sub>\n    2\n   </sub>\n   production was measured with a CO\n   <sub>\n    2\n   </sub>\n   sensor.\n   <img 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\"/>\n  </p>\n  <p style=\"text-align:center;\">\n   [Source: © International Baccalaureate Organization 2019]\n  </p>\n  <p style=\"text-align:left;\">\n  </p>\n  <p style=\"text-align:left;\">\n   What conclusion can be drawn from the results of this experiment?\n  </p>\n  <p style=\"text-align:left;\">\n   A. Yeast uses lipids rather than glucose in respiration at low temperatures.\n  </p>\n  <p style=\"text-align:left;\">\n   B. Addition of glucose has a greater impact on rates of cell respiration at lower temperatures.\n  </p>\n  <p style=\"text-align:left;\">\n   C. Rates of cell respiration increase with temperature.\n  </p>\n  <p style=\"text-align:left;\">\n   D. More glucose is produced at higher temperatures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   From the data, identify the depth along the transect where the greatest species richness is observed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the relationship between\n   <em>\n    Zooxanthellae\n   </em>\n   and reef-building coral reef species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    one\n   </strong>\n   way in which depth may act as a limiting factor for coral.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  C\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  6.5 m ✔\n </p>\n <p>\n  <em>\n   Unit required\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. a symbiotic/mutualistic relationship ✔\n </p>\n <p>\n  b.\n  <em>\n   Zooxanthellae\n  </em>\n  obtain shelter/habitat/exposure to light ✔\n </p>\n <p>\n  c. coral obtains energy/food through photosynthesis of the\n  <em>\n   Zooxanthellae\n  </em>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  low light levels/lower temperatures cannot support growth/metabolism ✔\n </p>\n <p>\n  <em>\n   Requires the explanation for the mark\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Richness appeared well understood but the depth unit was sometimes omitted.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This was a well-answered question with many candidates knowing the term symbiosis or mutualism. Protection provided by coral was often stated but the role of\n  <em>\n   Zooxanthellae\n  </em>\n  in providing nutrients from photosynthesis was less often seen.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The reduction in light or temperature with greater depth was recognized but not often linked to growth or photosynthesis.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b4-1-4-range-of-tolerance-of-a-limiting-factor",
+      "b4-1-5-conditions-required-for-coral-reef-formation",
+      "b4-1-adaptation-to-environment",
+      "c1-2-6-variables-affecting-the-rate-of-cell-respiration",
+      "c1-2-cell-respiration",
+      "c4-1-12-mutualism-as-an-interspecific-relationship-that-benefits-both-species",
+      "c4-1-populations-and-communities"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain what is meant by competitive exclusion, with respect to a\n   <strong>\n    named\n   </strong>\n   example of an invasive species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the relationship between rock phosphate production and world population.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Phosphate can be lost from agricultural land in several different ways. State\n   <strong>\n    one\n   </strong>\n   of these.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how the changes in world rock phosphate production after 1985 may have affected world food supplies.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  a. when two species with similar niches occupy the same habitat ✔\n </p>\n <p>\n  b. the competition increases\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reduction in resources ✔\n </p>\n <p>\n  c. the population of one species will die/be excluded ✔\n </p>\n <p>\n  d. an invasive species «often» lacks predators ✔\n </p>\n <p>\n  e. the endemic species is usually the one that cannot compete ✔\n </p>\n <p>\n  f.\n  <em>\n   eg\n  </em>\n  : grey squirrel/Japanese knot weed/cane toad ✔\n </p>\n <p>\n  <em>\n   <strong>\n    [3 max]\n   </strong>\n  </em>\n  <em>\n   if the invasive species is not named.\n  </em>\n </p>\n <p>\n  <em>\n   Do not allow humans.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. as population increases so does phosphate production/positive correlation ✔\n </p>\n <p>\n  b. since 1985 phosphate production has not risen while population has continued to increase ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  leaching/soil erosion, run-off/removed by the harvesting of agricultural crops ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. phosphorus is important as a fertilizer ✔\n </p>\n <p>\n  b. a drop in phosphate could lead to less agricultural output ✔\n </p>\n <p>\n  c. «this could mean» less food available for increasing population ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  This was generally well answered. There were a wide variety of verifiable invasive species and only a few confused examples. The most common example was the cane toad introduced into Australia. Candidates understood increased competition and lack of predation.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates were able to score 1 mark here for seeing the positive correlation. However, students continue to have problems determining when changes shown on graphs are significant. Although the final mark scheme allowed for credit to be given if a student wrote that the phosphate levels off/fluctuates/drops and rises while population has continued to increase, many candidates were still unable to draw correct conclusions about the final years shown on the graph.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Most students obtained the mark here, possibly because the mark scheme allowed for a variety of answers for the mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Students who struggled to read the graph correctly had problems with this question. Very few scored the full marks here, as only a small number of students clearly stated that rock phosphates were used as fertilisers to increase plant growth. Few students composed coherent answers that tied together fertiliser use, agricultural output and food.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-1-13-resource-competition-between-endemic-and-invasive-species",
+      "c4-1-populations-and-communities",
+      "d4-2-2-requirements-for-stability-in-ecosystems",
+      "d4-2-6-assessing-sustainability-of-resource-harvesting-from-natural-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between levels of predation in marmots born in the wild and those born in captivity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest reasons for the differences in predation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  predation was greater in those born in captivity ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  a. the marmots have experience with/recognize predators ✔\n </p>\n <p>\n  b. parents shield them from predators\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  parents teach them about predators ✔\n </p>\n <p>\n  c. those born in the wild are favoured in\n  <span style=\"text-decoration:underline;\">\n   natural selection\n  </span>\n  ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  This question was generally well answered.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  Most candidates were able to score at least 1 mark here by commenting on either the greater experience with predators for marmots in the wild, or the role of learning. However, some examiners noted that students tended to use anthropomorphisms when discussing animals in this option. Also, it was surprising that very few students were able to achieve the marking point that those born in the wild were favoured by natural selection, as natural selection is one of the central ideas in biology.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b4-2-10-adaptations-of-predators-for-finding-catching-and-killing-prey-and-of-prey-animals-for-resisting-predation",
+      "b4-2-ecological-niches"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.17",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the changes of distribution of the grey squirrel from 1945 to 2010.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   possible reasons for the change in distribution.\n  </p>\n  <p>\n   1.\n  </p>\n  <p>\n   2.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The niches of the red and grey squirrels overlap. Explain the concept of competitive exclusion with respect to the changes in squirrel distribution shown in the maps.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  a. overall the grey squirrel distribution has increased «and the red squirrel decreased» ✔\n </p>\n <p>\n  b. in 2010 the grey squirrel was found in areas where it was previously not found ✔\n </p>\n <p>\n  c. grey squirrel has dominated/red squirrel virtually eliminated ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  a. no predators ✔\n </p>\n <p>\n  b. ample food supply/habitats ✔\n </p>\n <p>\n  c. few competitors ✔\n </p>\n <p>\n  d. resistant to disease ✔\n </p>\n <p>\n  e. high reproductive rate ✔\n </p>\n <p>\n  f. no physical barrier to prevent spread of grey squirrels on mainland ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. competitive exclusion states two species that occupy a similar niche in the same location cannot coexist ✔\n </p>\n <p>\n  b. one of the two competitors will always have an advantage over the other ✔\n </p>\n <p>\n  c. leads to extinction/displacement/evolution of the second competitor ✔\n </p>\n <p>\n  d. grey squirrels have replaced/occupied niches formerly occupied by red squirrels\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  habitats favour the grey squirrel in competition for the niche ✔\n </p>\n <p>\n  e. the niche of one competitor/both competitors becomes narrower ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  While most candidates were able to achieve a mark by noting that the grey squirrel “dominated” in the second map, students again lost marks due to an inability to communicate concepts clearly. A large number of students confused distribution with population size, an idea not addressed in the maps.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  This was answered well by only a few students even though the mark scheme allowed for a wide range of answers.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This question was yet another instance where weaker students were disadvantaged by their inability to access the appropriate subject-specific vocabulary. They tended not to use the term “niche” with this question, and too frequently “niche” and “habitat” were confused.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b4-2-1-ecological-niche-as-the-role-of-a-species-in-an-ecosystem",
+      "b4-2-13-competitive-exclusion-and-the-uniqueness-of-ecological-niches",
+      "b4-2-ecological-niches"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.2",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify which electron micrograph shows a mitochondrion, providing <strong>one</strong> observation to support your choice.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss the evidence for the theory that mitochondria may have evolved from free-living prokaryotes by endosymbiosis.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«micrograph» <span style=\"text-decoration: underline;\">C</span> cristae/double membrane is visible/«folds of» membranes inside ✔</p>\n<p><em>Must state observation</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «double» membrane may have formed when engulfed ✔</p>\n<p>b. replicate by binary fission like free-living prokaryotes<br/><em><strong>OR</strong></em><br/>reproduce separate from «host» cell replication ✔</p>\n<p>c. they have their own «circular» DNA <em><strong>AND</strong></em> reproduce on their own ✔</p>\n<p>d. they have «70s» ribosomes <em><strong>AND</strong></em> can manufacture «their own» proteins ✔</p>\n<p>e. have organelle«s» similar to free-living prokaryotes ✔</p>\n<p>f. similar in size to free-living prokaryotes ✔</p>\n<p>g. mitochondrial inner membranes manufacture ATP like bacterial membranes ✔</p>\n<p>h. currently there is no free-living prokaryote like a mitochondrion ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates identified the correct micrograph but for the wrong reason such as 70S ribosomes visible, has a matrix, or correct shape. Only starch granules were visible in the image, not ribosomes.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The command term for this question was “discuss”. Connections were not made as many candidates just gave a list of features of mitochondria with no attempt at explanation or discussion. There was some confusion between the words endocytosis and endosymbiosis. In spite of the many shortcomings, there were a few brilliant responses</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-10-cell-types-and-cell-structures-viewed-in-light-and-electron-micrographs",
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "a3-1-7-karyotyping-and-karyograms",
+      "a3-1-diversity-of-organisms",
+      "d2-1-9-meiosis-as-a-reduction-division",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows the human heart.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagram, label the aorta.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagram, label the right atrium. </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how valves control the flow of blood through the heart.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the causes and consequences of blood clot formation in coronary arteries.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of lymphocytes in defence against disease.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>both labelled clearly as in diagram ✔</p>\n<p><img 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\" style=\"display: block;margin-left:auto;margin-right:auto;\"/></p>\n<p style=\"text-align: center;\">[Source: BlueRingMedia/Shutterstock]</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>both labelled clearly as in diagram ✔</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block;margin-left:auto;margin-right:auto;\"/></p>\n<p style=\"text-align: center;\">[Source: BlueRingMedia/Shutterstock]</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. valves open and close in response to changes in blood pressure/heart contraction/pumping ✔</p>\n<p>b. valve prevents backflow/maintains direction of blood flow ✔</p>\n<p>c. valves allow heart chambers to fill/to empty ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. coronary heart disease/CHD/coronary artery disease/CAD occurs when there is reduction of oxygen to the heart muscle ✔</p>\n<p>b. high ratio of LDL to HDL/fatty diet leads to plaque formation in arteries ✔</p>\n<p>c. plaque breaks off causing damage that activates blood clot formation ✔</p>\n<p>d. clots «in the bloodstream» may block a coronary artery/coronary thrombosis reducing blood flow/oxygen<br/><em><strong>OR</strong></em><br/>clots can cause heart attack/muscle death ✔</p>\n<p>e. sickle cell anemia «crisis» produces blood clots «that can cause coronary/arterial blockage» ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. produce antibodies ✔</p>\n<p>b. memory cells confer immunity ✔</p>\n<p>c. specific immunity results from production of antibodies specific to a particular antigen ✔</p>\n<p>d. recognize pathogens ✔</p>\n<p>e. destroy foreign cells/cancer cells ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Labelling the heart was generally ok, though the rest of this question was weakly answered.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Labelling the heart was generally ok, though the rest of this question was weakly answered.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew that heart valves prevent backflow of blood but that was all. There were a variety of misconceptions such as that valves pump blood or that the SA node sends signals to the valves to make them open/close.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Clots were related to a fatty diet or cholesterol but rarely to plaque build-up. The idea that plaque breaking could activate clot formation was seldom mentioned. Without really giving any accurate information, candidates got a mark just by linking blood clots to heart attack. There were many misconceptions and confusion. The first confusion was that blood clots lead to strokes. Quite a few responses focused on seizures and strokes as a possible consequence. In fairness to candidates, there is ambiguity in the way we use terminology in the common parlance. Cardiac arrest, cardiac failure, CHD and heart attack are technically not synonyms, though they are often used interchangeably. A student of biology is expected to understand the differences.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates correctly stated that lymphocytes produce antibodies. Lymphocytes were often mistaken for phagocytes and lengthy descriptions of engulfing of diseases were given. </p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-transport",
+      "c3-2-3-sealing-of-cuts-in-skin-by-blood-clotting",
+      "c3-2-6-lymphocytes-as-cells-in-the-adaptive-immune-system-that-cooperate-to-produce-antibodies",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows the structure of an alveolus and an adjacent capillary.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2019]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the functions of type I and type II pneumocytes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how gases are exchanged between the air in the alveolus and the blood in the capillaries.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>type I</em>:</p>\n<p>a. carry out gas exchange<br/><em><strong>OR</strong></em><br/>diffusion of gases/CO<sub>2</sub>/O<sub>2</sub> ✔</p>\n<p><em>type II</em>:</p>\n<p>b. secrete fluid/surfactant ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. O<sub>2</sub> concentration in alveolar air greater than in capillary/blood «prior to gas exchange»<br/><em><strong>OR</strong></em><br/>hemoglobin in blood binds oxygen maintaining the concentration gradient ✔</p>\n<p>b. O<sub>2</sub> gas dissolves in water lining the alveolus ✔</p>\n<p>c. O<sub>2</sub> <span style=\"text-decoration: underline;\">diffuses</span> through wall of alveolus and capillary into blood ✔</p>\n<p>d. CO<sub>2</sub> concentration in blood greater than in alveolar air «prior to gas exchange» ✔</p>\n<p>e. CO<sub>2</sub> <span style=\"text-decoration: underline;\">diffuses</span> through wall of capillary and alveolus into alveolar airspace ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Weak knowledge of pneumocytes from many candidates and whilst many showed an understanding of gas exchange they failed to articulate it properly using the correct phrasing and terminology.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The command term was “explain”. Only a few candidates actually explained the process. Candidates gave very general responses without reference to diffusion or the correct concentration gradients. Very often diffusion was referred to in general for gas exchange and it was not linked to concentration gradients. Some students got max 2 for correct references to diffusion with reference to both gases. Students getting max 3 were able to include references to correct concentration gradients as well.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a1-1-3-cohesion-of-water-molecules-due-to-hydrogen-bonding-and-consequences-for-organisms",
+      "a1-1-water",
+      "b1-1-6-structure-of-cellulose-related-to-its-function-as-a-structural-polysaccharide-in-plants",
+      "b1-1-carbohydrates-and-lipids",
+      "b2-3-8-adaptations-of-type-i-and-type-ii-pneumocytes-in-alveoli",
+      "b2-3-cell-specialization",
+      "b3-1-4-adaptations-of-mammalian-lungs-for-gas-exchange",
+      "b3-1-gas-exchange",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>The table gives common names and binomial names for some mammals.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> feature that characterizes these species as mammals.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the <strong>two</strong> species most closely related.</p>\n<p>1.</p>\n<p>2.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify <strong>two</strong> species from the list that are classified in different genera.</p>\n<p>1.</p>\n<p>2.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>fur/hair/mammary glands/feed young with milk/three inner-ear bones/lungs ventilated by diaphragm/lungs contain alveoli ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Canis aureus</em>/golden jackal <strong>AND</strong> <em>Canis lupus</em>/grey wolf ✔</p>\n<p><em>Both needed</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Hapalemur aureus</em>/Golden bamboo lemur <em><strong>AND</strong></em> <em>Canis aureus</em>/golden jackel/<em>Canis lupus</em>/grey wolf/<em>Vulpes vulpes</em>/red fox<br/><em><strong>OR</strong></em><br/><em>Vulpes vulpes</em>/red fox <strong><em>AND</em> </strong><em>Canis aureus</em>/golden jackal/<em>Canis lupus</em>/grey wolf/<em>Hapalemur aureus</em>/golden bamboo lemur ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The most common correct answers were having fur/hair or providing milk. Warm-blood or live birth were often given but were not accepted as other classes of animals exhibit these characteristics.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well done but some thought the species aureus meant they were similar rather than choosing the genus name.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b2-1-10-fluid-mosaic-model-of-membrane-structure",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-1-6-differences-between-transmembrane-receptors-in-a-plasma-membrane-and-intracellular-receptors-in-the-cytoplasm-or-nucleus",
+      "c2-1-chemical-signalling-[hl-only]",
+      "c3-1-16-control-of-peristalsis-in-the-digestive-system-by-the-central-nervous-system-and-enteric-nervous-system",
+      "c3-1-integration-of-body-systems"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>The image shows the chromosomes from a body cell of an adult human.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: http://www.ornl.gov/sci/techresources/Human_Genome/graphics/slides/elsikaryotype.shtml,<br/>U.S. Department of Energy Human Genome Program.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify, with a reason, the sex of this individual.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the chromosome that is affected by a trisomy in this individual, naming the condition that this trisomy gives rise to.</p>\n<p>Chromosome number:</p>\n<p>Name of condition:</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>male because Y chromosome present<br/><em><strong>OR</strong></em><br/>male because sex chromosomes/last two chromosomes/pair 23 are unpaired/different «from each other»/not homologous ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>21 <em><strong>AND</strong></em> Down syndrome/trisomy 21 ✔</p>\n<p><em>Both needed</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates knew this!</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The idea of 21 trisomy and Down Syndrome was very common. Rarely students made references to autism or other conditions after correctly identifying 21 trisomy. Rarely other chromosome numbers with incorrect conditions were referred to</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-1-7-karyotyping-and-karyograms",
+      "a3-1-diversity-of-organisms",
+      "d2-1-10-down-syndrome-and-non-disjunction",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the stages in the production of mRNA by transcription.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the functions of proteins in cell membranes.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how natural selection can lead to speciation.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. DNA is unwound/strands are separated «by RNA polymerase» ✔</p>\n<p>b. new nucleotides attached to template strand «by RNA polymerase» ✔</p>\n<p>c. <span style=\"text-decoration: underline;\">complementary</span> base pairing/base pairing with an example<br/><em><strong>OR</strong></em><br/>adenine with thymine/uracil with adenine/cytosine with guanine/guanine with cytosine ✔</p>\n<p>d. mRNA detaches from template ✔</p>\n<p>e. DNA rewinds ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. facilitated diffusion by channel proteins ✔</p>\n<p>b. active transport by protein pumps<br/><em><strong>OR</strong></em><br/>protein pumps <em>eg</em> sodium-potassium ✔</p>\n<p>c. cell recognition by glycoproteins/protein receptors ✔</p>\n<p>d. communication/receptors for hormones/signal molecules ✔</p>\n<p>e. cell adhesion ✔</p>\n<p>f. allow up to one additional mark for AHL material ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. natural selection is caused by selection pressures in the environment<br/><em><strong>OR</strong></em><br/>example of a selection pressure ✔</p>\n<p>b. natural selection requires that variation exists within a species ✔</p>\n<p>c. variation arises randomly due to mutation<br/><em><strong>OR</strong></em><br/>variation is enhanced by meiosis/sexual reproduction ✔</p>\n<p>d. over-production of offspring promotes selection<br/><em><strong>OR</strong></em><br/>natural selection occurs when there is competition/overpopulation/predators/environmental changes/changes in selection pressures ✔</p>\n<p>e. well adapted individuals/individuals with best variations survive to reproduce/survival of fittest ✔</p>\n<p>f. «frequency of» genes/alleles conferring an advantage are selected for<br/><em><strong>OR</strong></em><br/>genes/alleles conferring a disadvantage are selected against ✔</p>\n<p>g. genetic divergence/difference increases<br/><em><strong>OR</strong></em><br/>natural selection «genetically» isolates members of a species so eventually they can no longer produce fertile offspring ✔</p>\n<p>h. genetic divergence» leads to reproductive isolation ✔</p>\n<p>i. geographical/behavioural/ecological factors may lead to «reproductive» isolation ✔</p>\n<p>j. prolonged «reproductive» isolation leads to speciation ✔</p>\n<p>k. up to one additional mark for AHL information ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all students had a clear idea of complementary base pairing and that A pairs with U in RNA. However, this question revealed weakness in the understanding of transcription and the ability to distinguish transcription from DNA replication and RNA translation. Often times candidates had hybrid answers containing information from at least two, but sometimes all three processes. Many candidates were able to gain a couple of the easier marks in 7a on transcription despite having a poor understanding of the process.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A wide variety of fairly well-developed answers. Often, they did not couple a type of protein with its function or missed marks by being too general. Saying “transport proteins” was not enough. Often the terms integral and peripheral proteins were mentioned without going beyond that. Channel proteins and facilitated diffusion was most commonly given. The mistaken idea that proteins offer structural support or strengthen the cell membrane was seen repeatedly.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some excellent explanations given in well-structured responses. Many candidates avoided talking about natural selection in genetics terms, losing marks in the process. Darwin’s finches, industrial melanism and the giraffe were common examples. Some students invented their own creative examples.</p>\n<p>The idea that natural selection limits biodiversity appeared a few times. The flawed case of the peppered moth was given to exemplify speciation, however Darwin's finches were the most frequent example.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a4-1-6-speciation-by-splitting-of-pre-existing-species",
+      "a4-1-evolution-and-speciation",
+      "b2-1-4-integral-and-peripheral-proteins-in-membranes",
+      "b2-1-membranes-and-membrane-transport",
+      "d1-1-3-role-of-helicase-and-dna-polymerase-in-dna-replication",
+      "d1-1-dna-replication",
+      "d1-2-1-transcription-as-the-synthesis-of-rna-using-a-dna-template",
+      "d1-2-2-role-of-hydrogen-bonding-and-complementary-base-pairing-in-transcription",
+      "d1-2-4-transcription-as-a-process-required-for-the-expression-of-genes",
+      "d1-2-protein-synthesis"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.8",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe how detritivores obtain nutrition and the effects they have in ecosystems.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of amylase in digestion in humans.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how plants capture and use light in photosynthesis.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «detritivores» obtain nutrition from detritus/waste/dead bodies ✔</p>\n<p>b. are heterotrophic ✔</p>\n<p>c. removes large waste/cleans up the ecosystem<br/><em><strong>OR</strong></em><br/>helps control spread of disease ✔</p>\n<p>d. facilitates further decomposition ✔</p>\n<p>e. contribute to the supply of «inorganic» nutrients for autotrophs/nutrient cycling<br/><em><strong>OR</strong></em><br/>improve soil conditions/aeration ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. amylase is an enzyme ✔</p>\n<p>b. secreted by salivary glands/pancreas ✔</p>\n<p>c. active/released into the mouth/small intestine ✔</p>\n<p>d. acts on starch/polysaccharides ✔</p>\n<p>e. breaks «glycosidic» bond by hydrolysis/adding water ✔</p>\n<p>f. converts insoluble/large molecule to soluble/small molecules ✔</p>\n<p>g. product is maltose/disaccharide/sugar molecule ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. plants convert light energy into chemical energy by photosynthesis ✔</p>\n<p>b. photosynthesis takes place in chloroplasts ✔</p>\n<p>c. chloroplasts «are organelles that» contain the pigment chlorophyll ✔</p>\n<p>d. chloroplasts/chlorophyll «in plants» absorb sunlight ✔</p>\n<p>e. «chlorophyll» absorbs red <em><strong>AND</strong></em> blue light most effectively ✔</p>\n<p>f. light causes photolysis/splits water molecule ✔</p>\n<p>g. carbon dioxide <em><strong>AND</strong></em> water are reactants «in photosynthesis» ✔</p>\n<p>h. glucose <em><strong>AND</strong></em> oxygen are products «of photosynthesis» ✔</p>\n<p>i. light <span style=\"text-decoration: underline;\">intensity</span> is a limiting factor for the <span style=\"text-decoration: underline;\">rate</span> of photosynthesis ✔</p>\n<p>j. organic/carbon compounds/glucose provide food/stored energy «for plant itself, animals,food chains» ✔</p>\n<p>k. up to one additional mark for an accurate detail from AHL ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates got max 2 for mp a (nutrition of detritivores) and mp e (recycling of nutrients). Candidates getting high marks were able to provide correct examples of detritivores and correctly link to their role in enriching the soil and remove dead material. The biggest problem was the notion that detritivores recycle energy.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The name, location and correct function of the enzyme was very common making 3 max the most common marks. Students who got fewer marks gave generic explanations of the process of digestion. Some students made incorrect references to amylase digesting proteins. A few candidates ignored amylase and discussed digestion in general.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done with some very knowledgeable answers from the Higher Level programme sometimes to the detriment of the more basic answers required by the standard level examination. Many candidates who attempted this response got more than 4 marks for mp b, d, g and h which were the most common. Students getting higher marks were able to focus on correct conversion of energy, efficiency of red and blue light absorption, and photolysis. Some egregious misconceptions exist among candidates such as plants are green because they absorb green light. The idea that during photosynthesis light energy is converted to chemical energy was frequently neglected.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-3-5-absorption-of-specific-wavelengths-of-light-by-photosynthetic-pigments",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>Mice (<em>Mus musculus</em>) have various defence systems against predators such as foxes (<em>Vulpus vulpus</em>) or stoats (<em>Mustela erminea</em>). The mice release specific alarm compounds when under threat that serve as danger signals for other mice. Predators also release scents that the mice can detect.</p>\n<p>In one study, mice were exposed to paper soaked in compounds taken from other mice, foxes or stoats in a test chamber. The scientists then measured the reaction of three different groups of neurons used in smelling: G1, G2 and G3, as shown in the diagram.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: left;\">The percentage of G1, G2 and G3 neurons responding to the mouse, fox and stoat compounds, as well as a control compound, are shown in the chart.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">Percentage of response of neurons in mice</p>\n<p style=\"text-align: center;\">[Source: Julien Brechbühl, <em>et al</em>., (2013), <em>PNAS</em>, <strong>110</strong> (12), pages 4762–4767]</p>\n</div><div class=\"specification\">\n<p>The scientists recorded the neural traces (action and resting potentials) of six G1 neurons exposed to the compounds from the different animals. The horizontal bar beneath each trace corresponds to the time of exposure to the test compound.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted from J Brechbühl, <em>et al</em>., (2013), <em>PNAS</em>, <strong>110</strong> (12), pages 4762–4767]</p>\n</div><div class=\"specification\">\n<p>Another study was carried out on the defence systems in aphids (<em>Myzus persicae</em>) which feed on thale cress plants (<em>Arabidopsis thaliana</em>). Individual aphids release an alarm compound containing the chemical (E)-β-farnesene (EBF) when attacked by a predator. Other aphids are repelled and leave the thale cress plant or hide.</p>\n<p>The gene for EBF was inserted to produce transgenic (T) thale cress plants to test aphid reaction to EBF over several generations. Aphids were raised on wild type (W) thale cress and then allowed to feed for three generations on either W or T thale cress. Aphids were tested in each generation for their reaction when EBF was added to a choice chamber. The percentages of aphids attracted to or repelled by EBF and those which made no choice were recorded.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: M De Vos, <em>et al</em>., (2010), <em>PNAS</em>, <strong>107</strong> (33), pages 14673–14678]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the percentage of G2 neurons in the mice that respond to the fox scent.</p>\n<p>. . . . . . . . . . . . . . . . . . . .%</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using evidence from the chart, identify, giving a reason, which group of neurons responded most to the chemicals.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of the instrument used to make these traces.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the effects of the mouse alarm compound and the effects of the control compound on the G1 neurons.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the effects of the mouse alarm compound and stoat scent on the G1 neurons.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce whether there is a correlation between the neural traces and the percentage of responding G1 neurons.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The molecular structures of the mouse alarm compound and fox scent are very similar. Suggest an evolutionary advantage for this chemical similarity.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify, with a reason, the aphids that were most strongly repelled by EBF.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the conclusions that can be drawn from the data in the graph for the group of aphids fed for three generations on transgenic thale cress plants (T).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss whether natural selection would favour the transgenic EBF-producing thale cress plants if they were released into the wild.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">j.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>10–25 «%» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>G1 always respond more than 25% «except control», while G2 and G3 always respond 25% or less ✔</p>\n<p>G1 always responds more than G2 and G3/all of the others ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>oscilloscope ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mouse chemicals cause action potentials «in all six neurons» while control ones cause none «remain in resting potential»/mouse chemicals cause greater responses ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. both chemicals cause action potentials<br/><em><strong>OR</strong></em><br/>both chemicals respond in the majority of/five/most neurons ✔</p>\n<p>b. stoat scent causes a higher action potential/longer/bigger response than mouse alarm compound «in each neuron»<br/><em><strong>OR</strong></em><br/>neuron 2 reacts strongly to the stoat scent but has a minimal/no response to the mouse alarm compound ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. there is a <span style=\"text-decoration: underline;\">positive</span> relationship/correlation between the size of neural traces and the percentage of responding G1 neurons <em>Accept vice versa</em><br/><em><strong>OR</strong></em><br/>the chemicals that cause stronger/higher neural traces also cause the greatest percentage of responding G1 neurons ✔</p>\n<p>b. fox and stoat scents have «approximately» the same/similar neural traces and the same percentage of responding neurons/&gt;75 % ✔</p>\n<p>c. mouse alarm compounds cause smaller neural traces and smaller percentage of responding neurons/25–75 % ✔</p>\n<p>d. control chemicals have <span style=\"text-decoration: underline;\">no response</span> in both cases<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">no percentage</span> of «G1 neurons» response and no action potential «in neural traces» ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the mice would have the same response to another mouse’s danger signal as to the actual presence of the predator/fox<br/><em><strong>OR</strong></em><br/>adaptation to fool predator by producing a scent similar to predator’s own scent<br/><em><strong>OR</strong></em><br/>allows a group response to a predator/fox/danger when just one mouse detects the danger ✔</p>\n<p><em>Accept any other feasible answer</em>.</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the aphids that were fed on wild-type thale cress/W as they had 80 % «or more» repelled each generation/ always had the higher % response<br/><em><strong>OR</strong></em><br/>the aphids that fed on wild-type thale cress plants/W of G3 as they had «about» 85 % repelled/had the higher % response ✔</p>\n<p><em>Answer should refer to a percentage.</em></p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «over the generations» fewer are repelled by EBF ✔</p>\n<p>b. «over the generations» more are attracted to EBF ✔</p>\n<p>c. by G3 a «slight» increase in no choice ✔</p>\n<p>d. aphids respond less to EBF/alarm compound if they feed on plants that produce it/exposed to it constantly ✔</p>\n<p>e. mutant aphids with attraction to transgenic plants can arise from aphids with no attraction or repulsion to transgenic plants<br/><em><strong>OR</strong></em><br/>aphids with no attraction or repulsion to transgenic plants may produce new type of aphids with attraction to transgenic plants ✔</p>\n<div class=\"question_part_label\">i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mutant aphids/varieties may be indifferent to/attracted to transgenic plants as these do not present a hazard «not favour» ✔<br/><br/>b. initially/for limited time the plants would thrive as the aphids would be «largely»repelled and thus not eat the plants «so natural selection would favour them» ✔</p>\n<p>c. over time/in a few generations, the aphids population become more resistant/more attracted/less repelled to EBF and return to feed on the plants so long-term benefit very limited «so natural selection would not favour them» ✔</p>\n<p>d. the aphids resistant to EBF would not respond to other aphid alarms and «likely»be more readily eaten by predators «so the long-term benefit to plants could be supported by natural selection» ✔</p>\n<p><em>The answers must indicate whether natural selection would support or not for each statement.</em></p>\n<div class=\"question_part_label\">j.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Nearly all were able to state the answer of 10-25%.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>many lost the mark by not stating the reason that the G1 responses were higher than the others (G2 and G3)</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Fewer than 1 in 10 were able to name the oscilloscope. There were some G2 comments about this, but the students should have seen traces like this and should know how they were obtained. </p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many missed the mark in d as they did not state that the control remained at zero.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers to e were encouraging as most were able to give both the similarity and the difference.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Similarly, in 1f most could see the positive correlation, albeit not stating it, between the size of the trace and the percentage of responding G1 neurons.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In g, better candidates were able to suggest an evolutionary advantage either from the point of view of one mouse being able to bring about a group response, or from the point of view that the fox could not distinguish between mice and other foxes.</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There was some discussion in the G2 forms about the amount of reading before points h, I and j. Good candidates could be seen to have read it carefully, underling the key words. Weaker candidates not so. In 1h a reason in terms of the highest percentage was looked for and was missed by weaker candidates.</p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There was some discussion in the G2 forms about the amount of reading before points h, I and j. Good candidates could be seen to have read it carefully, underling the key words. Weaker candidates not so. In i. a large proportion gained both marks for stating that the percentage of attraction had increased and the percentage of repulsion had decreased. </p>\n<div class=\"question_part_label\">i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There was some discussion in the G2 forms about the amount of reading before points h, I and j. Good candidates could be seen to have read it carefully, underling the key words. Weaker candidates not so. Very few candidates scored both marks in j as they just wrote about one possibility. Perhaps the answer box should have been larger.</p>\n<div class=\"question_part_label\">j.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c2-2-neural-signalling",
+      "d1-1-5-applications-of-polymerase-chain-reaction-and-gel-electrophoresis",
+      "d1-1-dna-replication",
+      "d3-1-9-features-of-an-insect-pollinated-flower",
+      "d3-1-reproduction",
+      "d4-1-1-natural-selection-as-the-mechanism-driving-evolutionary-change",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the factors that can contribute to the exponential growth phase in a sigmoid population curve.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the effect of carrying capacity on the growth of a population.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. ideal environment/unlimited resources/below carrying capacity ✔\n </p>\n <p>\n  b. little disease/few predators ✔\n </p>\n <p>\n  c. high natality/birth rate\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  immigration ✔\n  <em>\n   Both needed.\n  </em>\n </p>\n <p>\n  d. natality and immigration\n  <span style=\"text-decoration:underline;\">\n   greater\n  </span>\n  than mortality and emigration ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. carrying capacity is maximum population size/number of individuals that environment can support\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  carrying capacity varies with abundance of limiting resources ✔\n </p>\n <p>\n  b. population growth slows/fluctuates as the carrying capacity of environment reached ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The vast majority of candidates could provide part of an explanation; most mentioned resources, but for many the effect of natality, mortality, immigration and emigration (both not well distinguished for some) was obscure.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Most candidates had an idea about carrying capacity, but there was only one element in the outline of many.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c4-1-5-carrying-capacity-and-competition-for-limited-resources",
+      "c4-1-7-population-growth-curves",
+      "c4-1-8-modelling-of-the-sigmoid-population-growth-curve",
+      "c4-1-populations-and-communities"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.2",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the stage of mitosis labelled X in the image, giving a reason.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Copyright 2002, The Trustees of Indiana University]</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the use of a karyogram during pregnancy.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>telophase because the chromosomes/chromatids have reached the poles<br/><em><strong>OR</strong></em><br/>«late» anaphase as some chromosomes/chromatids are still moving/tails visible ✔</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. is a photograph/diagram of homologous pairs of chromosomes that can be analysed ✔<br/><br/>b. information may be used to determine other chromosome abnormalities/changes in chromosome numbers/possible birth defects ✔</p>\n<p>c. Down syndrome/trisomy can be detected if there are three copies of a chromosome <em>Not just “Down syndrome”.</em><br/><em><strong>OR</strong></em><br/>accept any other valid example ✔</p>\n<p>d. other missing or extra pieces of chromosomes can be detected ✔</p>\n<p>e. sex can be determined as the Y chromosome is shorter than the X ✔ <em>Or correct ref to X and Y.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were able to correctly state (late) anaphase or telophase but did not give a reason as clearly asked. Many students seem to have excellent eyesight as they claimed to see that the chromosomes were unwinding and that the nuclear membranes had formed. Please encourage the students not to go beyond what can be seen.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most knew what a karyogram was. However, the question was about use, which does not involve a detailed description, taking up half the space about how the sample was obtained and the risks involved. Most knew that it was to do with the chromosomes, few stated that it was a diagram or a picture of the homologous pairs. An explanation of how it is used to confirm sex was needed.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-4-bases-in-each-nucleic-acid-that-form-the-basis-of-a-code",
+      "a1-2-nucleic-acids",
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-8-identification-of-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> causes of the decrease of biomass along food chains in terrestrial ecosystems.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The table shows the global carbon budget over two decades; the years 1990 to 1999 and 2000 to 2009.</p>\n<p><img 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\" style=\"display: block;margin-left:auto;margin-right:auto;\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2019]</p>\n<p> </p>\n<p>Using the table, explain causes of the changes in carbon flux over the two decades.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how climate change can influence the natural selection of organisms that live in the Arctic oceans.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «cell» respiration/loss of CO<sub>2</sub>/biomass consumed to provide/as a source of energy ✔</p>\n<p>b. loss of energy «as heat» between trophic levels means less energy available for building biomass ✔</p>\n<p>c. waste products «other than CO<sub>2</sub>»/loss of urea/feces/egesta ✔</p>\n<p>d. material used/CO<sub>2</sub> released by saprotrophs ✔</p>\n<p>e. undigested/uneaten material «teeth, bones, <em>etc</em>»/detritus buried/not consumed<br/><em><strong>OR</strong></em><br/>formation of peat/fossils/limestone ✔</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. increased CO<sub>2</sub> flux to the atmosphere due to increased burning of fossil fuels by industry/transportation / cement production ✔</p>\n<p>b. «land use change leading to» decreased rate of forest burning<br/><em><strong>OR</strong></em><br/>better fire suppression leading to decrease in CO<sub>2</sub> release<br/><em><strong>OR</strong></em><br/>example of land use changes that uses less fossil fuel<br/><em><strong>OR</strong></em><br/>increase in land covered by forests/plants / forests recovering from historical forestry<br/><em><strong>OR</strong></em><br/>any other reasonable explanation of land use change that would lead to decreased rate of carbon flow to atmosphere ✔</p>\n<p>c. carbon storage in land decreased as less photosynthesis due to fewer forests/more construction<br/><em><strong>OR</strong></em><br/>release of methane due to «drying of» wetlands/sealing of land with concrete/buildings/roads ✔</p>\n<p>d. carbon storage in ocean increased due to more photosynthesis/algae/greater concentration of CO<sub>2</sub> in the atmosphere<br/><em><strong>OR</strong></em><br/>increased diffusion/rate of dissolving of CO<sub>2</sub> into ocean from the atmosphere<br/><em><strong>OR</strong></em><br/>limestone/carbonate accumulation «more snails» ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. individuals in a population will show a variation of adaptations to climate change ✔<br/><br/>b. organisms that resist temperature changes<br/><em><strong>OR</strong></em><br/>current changes of the ocean/melting ice/more acidity/changes in food chains will survive better ✔</p>\n<p>c. reproduce more and pass on their characteristics ✔</p>\n<p>d. organisms with less adaptation will disappear with time ✔</p>\n<p>e. example «<em>eg</em> polar bears have less ice to be able to catch prey/seals and are starving the ones that manage to find other food sources will survive» <em>OWTTE</em> ✔</p>\n<p>f. changes will occur within species<br/><em><strong>OR</strong></em><br/>new species may appear «over time» ✔</p>\n<p><em>Accept any valid example of an Arctic ocean organism.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A large proportion of students looked at this question and immediately reeled off an answer in terms of energy (as in many previous years). Few made the connection between biomass and energy, for example in respiration CO<sub>2</sub> is lost from the food chain during respiration, or that urea has mass <em>etc</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>3a(ii) was the question most discussed on the G2 comments. The expectation was that the students would address each of the four arrows, with an explanation for each. Good candidates did this. Others just combined everything into a general essay on climate change. Weaker candidates just restated the figures without any explanation of them at all. Whilst it is appreciated that none of the candidates was around between 1990 and 1999, references to the Industrial revolution were out by well over a century. This question would have benefitted from a larger answer box.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 3b weaker candidates seemed to think that they needed to give a detailed description of climate change and filled up most of the box with it. Better candidates were able to state that animals who could cope with warmer surroundings, would survive to breed and pass on their characteristics, while those who could not would perish, and give an example such as the polar bear. There were some G2 comments that Arctic foodwebs were not on the syllabus. It is doubted that any IB student does not know that it is cold in the Arctic, but because of climate change it is warming up slowly.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-2-14-restrictions-on-the-number-of-trophic-levels-in-ecosystems-due-to-energy-losses",
+      "c4-2-18-ecosystems-as-carbon-sinks-and-carbon-sources",
+      "c4-2-19-release-of-carbon-dioxide-into-the-atmosphere-during-combustion-of-biomass-peat-coal-oil-and-natural-gas",
+      "c4-2-transfers-of-energy-and-matter",
+      "d3-1-5-changes-during-the-ovarian-and-uterine-cycles-and-their-hormonal-regulation",
+      "d3-1-reproduction",
+      "d4-3-12-evolution-as-a-consequence-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The images show parts of plants belonging to two different phyla.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: left;\">State the phylum of plant X and of plant Y.</p>\n<p style=\"text-align: left;\">X:</p>\n<p style=\"text-align: left;\">Y:</p>\n<p style=\"text-align: left;\"> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain <strong>one</strong> cause of mutation.</p>\n<p style=\"text-align: left;\"> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the types of evidence that can be used to place a species in a particular clade.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The cladogram includes four marsupial (non-placental mammal) families.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Koala image: Quartl, https://commons.wikimedia.org/wiki/Phascolarctos_cinereus#/media/<br/>File:Friendly_Female_Koala.JPG; Wombat image: JJ Harrison, https://en.wikipedia.org/wiki/Wombat#/<br/>media/File:Vombatus_ursinus_-Maria_Island_National_Park.jpg; Marsupial lion: Nobu Tamura,<br/>https://en.wikipedia.org/wiki/Marsupial_lion#/media/File:Thylacoleo_BW.jpg;<br/>Diprotodontoidea image: Anne Musser]</p>\n<p style=\"text-align: left;\"> </p>\n<p style=\"text-align: left;\">Deduce the family that is most closely related to the Diprotodontoidea.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>X: Filicinophyta ✔</p>\n<p>Y: Coniferophyta/Conifera/Gymnosperms ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Not chromosomal</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. a clade is a group of organisms that have evolved from a common ancestor ✔</p>\n<p>b. identify the base sequences of a gene ✔</p>\n<p>c. identify amino acid sequence of a protein ✔</p>\n<p>d. comparing homologous structures ✔</p>\n<p>e. the fewer the differences, the closer they diverged in time from a common ancestor ✔ <em>Accept vice versa.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Vombatidae/wombats ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Those who had been taught it could identify the filicinophyte and the coniferophyte, albeit with a variety of spellings.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many were confused by a relatively simple question, but a large proportion gained both marks by linking radiation or carcinogens to changes in the DNA base sequence.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Those who had been taught it gained at least two marks for evidence and clades, with comparing base sequences of genes and amino acid sequences of proteins amongst the most common correct answers.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Nearly everyone spotted the wombat correctly.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-2-4-clades-as-groups-of-organisms-with-common-ancestry-and-shared-characteristics",
+      "a3-2-7-analysing-cladograms",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "d1-3-4-causes-of-gene-mutation",
+      "d1-3-mutations-and-gene-editing",
+      "d3-1-12-dispersal-and-germination-of-seeds",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.5",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>four</strong> types of membrane transport, including their use of energy.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structure of a dipeptide.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the action of enzymes in digestion and the different roles of at least <strong>two named</strong> enzymes that are produced in the pancreas.</p>\n<div class=\"marks\">[8]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. simple diffusion is passive movement of molecules/ions along a concentration gradient ✔</p>\n<p>b. facilitated diffusion is passive movement of molecules/ions along a concentration gradient through a protein channel «without use of energy» ✔</p>\n<p>c. osmosis is the passage of water <span style=\"text-decoration: underline;\">through a membrane</span> from lower solute concentration to higher ✔ <em>OWTTE</em></p>\n<p>d. active transport is movement of molecules/ions <span style=\"text-decoration: underline;\">against the concentration gradient</span>«through membrane pumps» with the use of ATP/energy ✔ <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Active transport requires mention of the use of energy.</span></p>\n<p>e. endocytosis is the infolding of membrane/formation of vesicles to bring molecules into cell with use of energy<br/><em><strong>OR</strong></em><br/>exocytosis is the infolding of membrane/formation of vesicles to release molecules from cell with use of energy ✔</p>\n<p>f. chemiosmosis occurs when protons diffuse through ATP synthase «in membrane» to produce ATP ✔</p>\n<p><em>The description of each type of transport should include the name and brief description.</em></p>\n<p><em>mpa, mpb and mpc require reference to concentration.</em></p>\n<p> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. two amino acids, one with NH<sub>2</sub>/NH<sub>3</sub>+end and one with COOH/COO– end ✔</p>\n<p>b. peptide bond between C=0 and N—H correctly drawn ✔</p>\n<p>c. «chiral» C with H and R group on each amino acid ✔</p>\n<p>d. peptide bond labelled/clearly indicated between C terminal of one amino acid and N terminal of the second amino acid ✔</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Labels not required for amino group and carboxyl group.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. enzymes catalyse/speed up chemical reactions/lower the energy needed ✔ <em>OWTTE</em></p>\n<p>b. have specific <span style=\"text-decoration: underline;\">active sites</span> to which specific substrates bind ✔</p>\n<p>c. enzyme catalysis involves molecular motion and the collision of substrates with the active site ✔ <em>OWTTE</em></p>\n<p>d. enzymes break macromolecules into monomers/smaller molecules indigestion ✔</p>\n<p>e. smaller molecules/monomers more readily absorbed ✔</p>\n<p>f. &lt;&lt;pancreas&gt;&gt; secretes enzymes into the «lumen of» small intestine ✔</p>\n<p>g. the small intestine has an alkaline pH ✔</p>\n<p>h. enzymes have maximum action at specific pHs<br/><em><strong>OR</strong></em><br/>enzymes can be denatured at other pHs ✔</p>\n<p>i. amylase breaks down starch into sugars/disaccharides ✔</p>\n<p>j. lipase breaks lipids/triglycerides into monoglycerides/fatty acids and glycerol ✔</p>\n<p>k. endopeptidase/protease breaks «peptide» bonds in proteins/polypeptides ✔</p>\n<p>l. accept any other valid pancreatic enzyme, substrate and product ✔</p>\n<p><em>Award <strong>[6 max]</strong> if there is no mention of two specific groups of enzymes.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Membrane transport – In spite of the question asking about energy, many lost easy marks by forgetting to refer to it. Others did not mention the gradients. In osmosis, please stress to the students which concentration they are talking about. They should be talking clearly about water potential or solute concentration.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Structure of the dipeptide – candidates who also do chemistry were at an advantage here. Diagrams went from the superb to something Picasso might have produced.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Enzymes in digestion. A disturbing number of candidates saw the word pancreas and wrote about insulin and glucagon. These are hormones, produced by <span style=\"text-decoration: underline;\">EN</span>docrine glands not enzymes produced by <span style=\"text-decoration: underline;\">EX</span>ocrine glands. Better candidates scored nearly full marks, by describing enzyme action and correctly describing the three main enzymes from the pancreas. Weaker candidates could not string the correct sequence together and scored very few marks. Better candidates wrote some sort of plan before starting, using the space below the instructions for Section B. This should be encouraged.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-proteins",
+      "b2-1-5-movement-of-water-molecules-across-membranes-by-osmosis-and-the-role-of-aquaporins",
+      "b2-1-6-channel-proteins-for-facilitated-diffusion",
+      "b2-1-7-pump-proteins-for-active-transport",
+      "b2-1-8-selectivity-in-membrane-permeability",
+      "b2-1-membranes-and-membrane-transport"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe briefly the endosymbiotic theory.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how photosynthesis produces glucose.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss the control of blood glucose levels and the consequences if they are not maintained.</p>\n<div class=\"marks\">[8]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. eukaryotes evolved from prokaryotes ✔</p>\n<p>b. prokaryotes engulfed other prokaryotes without digesting them ✔</p>\n<p>c. engulfed aerobic cell/prokaryote became mitochondria ✔</p>\n<p>d. engulfed photosynthetic cell/ prokaryotes became chloroplasts ✔</p>\n<p>e. these organelles have a double membrane «due to the engulfing process» ✔</p>\n<p>f. mitochondria/chloroplasts contain DNA/small ribosomes/70S ribosomes ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. solar/light energy is converted to chemical energy ✔</p>\n<p>b. energy needed to produce glucose ✔</p>\n<p>c. only specific wavelengths are absorbed by chlorophyll<br/><em><strong>OR</strong></em><br/>red and blue absorbed most strongly.<br/><em><strong>OR</strong></em><br/>chlorophyll is the pigment that absorbs light energy ✔<br/><br/>d. H<sup>(+)</sup>/electrons from water are used to reduce compounds ✔</p>\n<p>e. CO<sub>2</sub> is absorbed/used/reduced to produce carbohydrates ✔</p>\n<p>f. correct word/<span style=\"text-decoration: underline;\">balanced</span> symbol equation of photosynthesis ✔</p>\n<p><em>Accept correct reference to NADPH/ATP from AHL.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>control</em>: <em><strong>[6 max]</strong></em><br/><br/>a. homeostasis is the maintenance of a constant internal environment ✔</p>\n<p>b. the pancreas produces hormones that control the levels of glucose ✔</p>\n<p>c. if glucose levels in blood are high, beta-cells «of the pancreas» produce insulin ✔</p>\n<p>d. «insulin» causes the cells to take up /absorb glucose ✔</p>\n<p>e. liver stores excess glucose as glycogen ✔</p>\n<p>f. if glucose levels in blood are low, alpha-cells «of the pancreas» produce glucagon ✔</p>\n<p>g. «glucagon» causes the liver to break down glycogen into glucose ✔</p>\n<p>h. «glucagon» increase levels of glucose in the blood ✔</p>\n<p>i. negative feedback controls the glucose levels ✔ <em>OWTTE</em></p>\n<p><em>consequences</em>:</p>\n<p>j. if the pancreas produces little/no insulin a person can develop <span style=\"text-decoration: underline;\">type I</span> diabetes ✔</p>\n<p>k. a person with <span style=\"text-decoration: underline;\">type I</span> diabetes «usually» needs/is dependent on injections of insulin ✔</p>\n<p>l. <span style=\"text-decoration: underline;\">type II</span> diabetes occurs when the body becomes resistant to insulin/cells do not respond to insulin ✔</p>\n<p>m. <span style=\"text-decoration: underline;\">type II</span> diabetes can «sometimes» be controlled by diet and exercise ✔</p>\n<p>n. named consequence of having diabetes «<em>eg</em>: eye damage» ✔</p>\n<p><em>Award <strong>[6 max]</strong> if no consequences are given.</em><br/><br/></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Endosymbiotic theory. Those who had been taught it gained at least one mark. Few mentioned that the cell that became the mitochondrion was aerobic, and that the one that became the chloroplast was photosynthetic.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Glucose and photosynthesis. Again, this was an example of leaping into an answer without planning. Despite G2 protestations, HL material was not expected. Better candidates were able to gain full marks by stating that the light was trapped by chloroplasts, processes converted this into chemical energy and energy was needed to make glucose and included a correct equation ( if a symbol equation, it needed to be balanced).</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Control of blood glucose levels. Weaker candidates tied themselves in knots trying to explain. Weak candidates also described insulin and glucagon as enzymes, not hormones. Other common mistakes were Alpha cells and Beta cells do not move, they just produce the hormones and glucagon and insulin do not have any direct effect on the glycogen molecules. The causes and treatment of type 2 diabetes were quite well known. A large number of students used the word ‘digest’ incorrectly, stating that glucose was ‘digested’ to glycogen.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "b2-1-5-movement-of-water-molecules-across-membranes-by-osmosis-and-the-role-of-aquaporins",
+      "b2-1-6-channel-proteins-for-facilitated-diffusion",
+      "b2-1-7-pump-proteins-for-active-transport",
+      "b2-1-8-selectivity-in-membrane-permeability",
+      "b2-1-membranes-and-membrane-transport",
+      "c1-3-1-transformation-of-light-energy-to-chemical-energy-when-carbon-compounds-are-produced-in-photosynthesis",
+      "c1-3-photosynthesis",
+      "d3-3-3-regulation-of-blood-glucose-as-an-example-of-the-role-of-hormones-in-homeostasis",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between the structures of DNA and RNA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Mendel found the same pattern of inheritance in all the crosses that he performed. Outline, with examples, different types of inheritance that produce non-Mendelian ratios.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the cause of sickle cell anemia and how this disease affects humans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [8]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img 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ClL3vr/mhoZyHscI5WJsO/u//IsyKmMzTJUL4PpQSt7ee5TW2d6Kc9JhqUDxOa+h9Zw10BPBzYpzrdcivNTcPznb5nSMFOcD8b9f78LwG4WkNQdh3v8kblSXYn66EiNkYc7l8UveCfvFvchRjIQy/W2cvcHlwTeRsVOHSjXQbLaGOWR3F+2tLV7DUn5JSRxC6uzoKl8kEdHlgCcgVyRgluo01ld+gAbDB13PRwumMd+AEctssAZMKENZCMPEYdK4AI0emx41pusBU4+YDriXxqDYoBAaZ91p6IXU+Vp4DZiAZIBbX3yOz7/4m/up+fdH8N+n/wv2B2ci/+UfIX6E2Oh0e6ELIhCSQD81cm7Dcvg15NXOQHVbKz4qXYbMzExkpo3HTfOlkAr15KF83CRM7aqJIR+DSVMVIaJXYOqkMehdoAzUlReEuTCueUrcSCP/b92EtJhgqccgPi0TuaU1rnlEpu14tn0L0lVvBp9rEEhTpwWHVxehdnY12hw1KM19AZmZc5GmuAVzc1dWojTCYRg3KS7MVl0XOn/jm13kizRduh7wBKJTsOa4Efuf/ALVJcuRrhzpPwflfippewPpI6OEhQCuBQRRyjzoQ8kQSR0i1BgMq6En6hRS5zvdasCIUXKjgh+9+yoypkzCw8nz8G4TV8/fxW/2aPlenJgn47Fhidrjna6IQJgEgn0VwwzeW97saOOMGd/hHOffcONaL6yYiXkMGdkK/54IuxXmZnEYZjSSM9Rgmptw3iad5OuEva0FzRCGXvgWYlcWk8CNH7qR9ki59GayZyLZ12ARZTzzR9ikQbiJxeXPdWPTu2FgkuZhec4cMLYWtLZLdekiP3keQOLTj7q7xrkQzs4b6N6OJHLEJM9ENuM7xCeyFOQIS2cxX7hhMCkYoQx1oRI9HoAEouORlrkMpR9ZwTqsMFXPQvv6dKhKjJIVjfdJL36yvk+Dg294SCfwB5AlIjpErjEYVkNPVCOkzuO70YARI+R+ZVBMTsbESWNw99Lv8PJPXoO+8Tc4X9cEO76P7Ky5GE2TjaXA6DpMAv3UyBE+XPpD2GO84hoCctrQsPUVrNT2xoqZMVC9XIzZVauxSnveNeRivwjd66XY7O6gkCMmZTE2zqrHyuLdaOANHW74pgqrsvZAWbYGC7k5AfJJmL5oOmxVB/DeRW45OLeS4iheL9njPzxj24OS148Ky6o7cFGrQVbVd7H95engRrK9/wQZT76K4q1nBEOnAxbdZqxZC5RtykR8oNwUNjBL1eg8y7ftFpyqaQRyf4iMOG4eg7Rb/jbs9q+8kxbvBKNDX3UIRsHQc9rOYGvxq9C6OYmeu/iNmY6Xt38XVVkaaINyCkdnOWJU+dg++ziyVlXhIm/ocFwqUMIti6e/wU1AziApcylyspNgO9eKdqmdG7bmPTGUxTABGj2NW5DanV27e6xDBBuDYoPCd8g53IaeW+e74TVgAuSNcupzWF78r/jRtAdx9awR2c//GL812zH8u4ko/BH14gRARk5hEAj0WQwjWG974T5cq3B8z1R8mj4BUdzckwk/x8ffzsHR6kLJMIdwPIJM3MOl53LJx8/DVmM5Euv/BSO49Easxtnv5KJMLRkDjk5A7o5q7J/xF2gUD0Ami8KIH/8RM/YbcXxNijARcjjiF26EvuArrJ/CdaVPwJzKv2H+hnXwe03VL2NV2mW8Hs91d49EWn0C9ho3IXO8dIzfo5NLxq2Y0f4aFFFc1/hIqI6NxirTbhQkjfJ4lF7JJ2PpnkNYNfYYVCOEbvURC3BsbD6Ob3wO4/kSMBxxs5eh6O56KKNiMf9wCxzSONzXY6D66dvYk/IJ0nn9ZZjw80/x7Zy3UR10gqY7sM/FMIzP3ATj3gTUp3GcojAi34TvrHrZi1NYOssnInNrNfYmGpDG6zgZ+WenYFXZPJ806XagE3AtD8+ARndRmP/FNSI+Rk0DkJufjrge1Wiioaz3anSENpTFMD6NHstRlKzZAYiNngDAu9YhzEYHItkYDLOhxzcoutA5rAZMADCQ4QfPr8KTz8/E9x+6jL9a2/EnTMFT34vHt6kXJxAwcguHgLjGLNQSLNEP/RIBIkAEeotAeHXQHdZqqmbLliTw215wYcAsYcuqTZ4l1PzWCz5LyMVl4KLw/HJwxnurh04zqy9b4lo2jgR2SVk1W102L/gSci6uTjNbV1nIqjg5AsgiJuf9G4YO/DJwbsm1sHw74NYU3OpsK2va45P+kTr2bHWhZwuOIGG9l9pzEnJLvT+UsFWzhUfeZct8t6AIS+ebrFlfwS5hBC6qIvZI9RuSLTG8iXjf3WRXPvcoG83z/L/sB63cthv0RwSCEwhVd8i4YJwxJJPJ+Ams4RhG5IcIEAEiEGkC/a8O4nqKl0BlfgkXS9MCDCFHmgDFJxK4/tc/4eDeo5iYMgvPzZhKy8ZFMPQbkECouoOMnIDIyJEIEIH7TSBURdW7snBHkazH5KzPsdGwBbncPjS4C1vDbvx83kkkHt+PNcGGg3tXMIqdCBCBMAiEqjt6NIIdRprkhQgQASIwQAgIcwC3TxHmh3Hz3R5A0o4vMfd4iPluA0Q7EpMIDGUC1JMzlHOfdCcC/YhAqNZYPxKTRCECRKCfEQhVd3xNKivnkf6IABEgAn1FgOqgviJP6RKBwUnAy8gR5iAPTk1JKyJABPo1gVCtsX4tOAlHBIhAnxII1TiiOTl9mjWUOBEgAkSACBABItBbBMjI6S2yFC8RIAJEgAgQASLQpwTIyOlT/JQ4ESACRIAIEAEi0FsE+q2R49r6fCG0ltu9pXvX8XYYoFEokKG96Do/q+sQfe7DxU085kI49iJDC0uPzvTpc3VIACIQFoFBWe7Z2zhbexz/8R+1aOsUDwoOCwd5IgJEQCDgNfGYqAx8AvL4XNSwuYIifWggDnyUpMEAIjD4yv0t/FveM9D++rf4y4SZ+KD+ICaMkJyjN4DyhkQlAn1JoN/25PQlFEqbCBABItB3BFj8Zu9rMFX/Fn/Bk1j40ov4P7Fj+04cSpkIDGAC/dzI+Tuun/8NynMS+bO1ZIoclNdahNOHI039LmyNOu+0Tjah3TcZpw2NezVI5U4q5/5TNdAafGXqgMWghSZV4fIjy4BGa4DFLowZ2RtQnqqAIk+HK+5hpBtoLH8OMsVKHPndQeQpxCEnqQDXYNAkQ6ExoEMYSkvVvOWWmXP/wqJFht+p7H/F+dotyFG4ZFbkbEGtpUMaMWC3wKANpRd32rMBWk2GoFNg3Z22Bux1+1EgVaOFwTct75TpjgiETyDS5R5dvKucZL7vhu/7zPkJq14IT80vO/+I93buwQcd38DE2d/FO8VL6eym8NCRLyLgR6CfGzlHsXblMUSt0MPBOtBpnIurm/4P5pQ3RNjQccLeuAOLk3fh6twj6GRZsJYixDbVYp9Nwsx5GbplaswxPIxS6x2wnEw7H0V91nys1l0W5u104KL2Z1Bl1WNcaSMcLAuH9RWMq18N5ZytaOQMnehkvFS+Fkrtq3jlKBeOS//XWLP2MnK3r8X876rxYjZQdeBjiREEoOMz1FQB2RmPCYcF2mCs+gNGF50B6/gcxuXJGCkR132pL8LKg8OwopGT+SaMc69ik3IxyhtvuLzYz0O7Yj6y6kW97sBa+jDqs1Qe1nYT3skvRL3yly4+7B1YNzyIqvT1OCzMm3Je0WFZUh4M416B1cGCZS9ip/IMslTF0F256xaHLojAvRGIULlHGO8qbqDxnQJk1T+KnZ0O/hBjh3UNoqqWY9Vhi+udD6teCFdjB7atW4PTZz8HxqfjtX97Cd+gPVrDhUf+iIA/AfHw8lBHlYt+7uevw1zJqpHA5la3sg53wg72Zl0RyzBFbN1Nj6v7cY8vrrJ1hUksU1jH3pTGcbOOLWQYVl15gXWwQtpYwFaav5T48pGJD+MrN8uyXnFxwb9gTWXPsmBWsNUXPmbLVAzL5FazbbxaDrbTVMGqvNIKlA78ZHZxS2IL666yLPsla65c4Eqj7Y5EZqm+Yrwr2GovP976uuL11V0SJeuKE+pK1uyVNdK0pP7pmgh4EwirDuLfo0iUe/Gd7OJddVxgK9WPCHWAt7yuO+/3xONDfK+6V1f9b/sn7IqUb7KAkp3+kzL2754I6YoIEIEgBELVHf28J2cKnk74FjxCyhE9IQ6JNj1qTNf9LbaeuvA9JFYkKhWIlsYRrYAyUZzsdx2mGj1sTBwmjRsm8SWV6Ro6TKdQZfOVGwAfF9Bstgq9UKOQ9NIrKFPqMH/KD7AWa3F86zyM55WVI/qJ2chWN+HQ6Vahh8iVPrJnIjnGQ0QiSPDLxGlIYKQyR2OCMha2qlMwdVxz6eXnR9ALl2Bus0OuSMAs1Wmsr/wADYYP/IegeIaNYKZOwjgv8aRpucfmgstKT4hApAj4lWlpWfwqvHdVPg6Pz5oM/fpf42iDATq/oelw6oVgdZUT1tbLuM2KCjvw7pY3carhr3hgciJeL/oRaGWIyIZ+iUDPCHh9jnoWxcAP5WxvxTnpsFQolWxvIH1klGdeikyGKGUe9HyYO2hvbUGoqGznWtEufuujp+JfVmWCAQPVs09DGS3JDnksMvKfQfP6fTB2OIWhqnEoWDhNGKoKJWQ3njmuofWcNUQAK861XoMzOgVrjhux/8kvUF2yHOnKkZAFmJtg25yOkeJ8Jf7361DmHQkRPz0iAn1B4G6Y7+ooJK05CPP+J3GjuhTz05UYIQsw1yxkvRBIPzsKFnwPyf+UjMefXYn/7ryFL29ZYDr1CcxIxKwFs/H9Cf8YKCC5EQEi0A0Ckq9qN0INMq/ycZMwlQlTKXUlzPx8E27OifTfhNK08Rg3KQ6hopL2dDivfIBXVurwT6p/gnnta3hHnCPDizIM42dmIhtcr5XQQ5SYieefGBWmoGF6ixqDSVMVITwrMHXSGFdvWnQ80jKXofQjK1iHFabqWWhfnw5ViRGuacwM1JUX+HlI3mxYsNZNSOtuD1QIqegREbg3AsO68a7GID4tE7mlNWC5uWim7Xi2fQvSVW/CwDVAuL+Q9cKYAKJ+HZOnPY7p//QlLCc/xgu5xfhw33b8V+M1IO6f8bPlc2mycQBq5EQEukugnxs5rqESj1JO2Nta0MyokZE82uN8r1cxjyEjWyEZShIitFthbhY34RqN5Aw1mOYmnLdJJ9Fyk4a3IFXGbVx4FzHJM5HNXMCZ8597byDIxwXPkJjzMo6+8iq0yrV469h+bM+9jLVrfu2amCzqEzMNCwvGoerAuzh0oh6Ji55CXE9yrLkFbeLKLj5uO9rMl8DwQ19jguvFsUYslBO8BvFc0skZJGUuRU52EvjeqWiB4Zk/wib2VPE+hVVjtCGhmKv0e78IhCz3Xwv/XfWSdxiYpHlYnjMHjK0Fre3Rwd8fd70QaL+qKCwv2oapz6XiqYea0fSbT1C0pRoNiMV31clIpV4cL+p0QwR6TECcxxNq4o7o537+uia6goWqiK02c9OBHWznhT3sEibARMEICOZoq2ZzmQR2SWUz28nF13mBrS5Us4A48ZgToZWtzk1gmSXb2bNWbiKvg+00V7OFqkdYVdlZVzj2JnuhMpdlmCVsxVmra9J0ZzNbuSSBhaqCNXVys3LvsG3VK1gGz7Jlpi946V3pM5J4XEq5OXhNQhYnTYY5ARMMqyqsZs182qJ8konGgnxeevGsPfK45FCzhdUXBD1F3ZPck8PdDCtOs1Z+8vFN1lxdxKokekYgqyiKQUogrDqoOxOPuyr34byrwsRjz/vjqRvcCwXCqhcCZ9qtv11hf/LMFDYa4GbmsBixgP31udbAnsmVCBCBgARC1R3ckAv/F8qT6Od+/ro+qvPYsupqtowzELgKgFnClunNwkeWk0ZYPQRxNdG9SMh9tD/0pAU1W3jkXbbMd2VFp5mtqyxkVWKlxMlUbRI+6mL6N1lzXSVbqGJccnNxVdYJRgbLBjZo/A0fPjahAvVbtdSdyl79Blv9YQW7hAoD3PYAACAASURBVHFVpMySClbPG46ivFzF7aOXqpCtrJOyvsNaTZK8EPPDS3eOYR1byRuHYlplbLVJMPYkydElEfAlEFYdFOlyz4Z+VzkZHVYTW122hGXEdx4J7JKyatbEN3QELXzfn4D1gq/GrnvzH/6DzX18DAtEs9965qfeKzwDByFXIkAEJARC1R0yzh/XDcRtbCdc9rhXiAL2AgHnRWhnZ+FMfjV2Z06UrDTrhbQoSiLQhwSGbh3EotF4HIbfX8IzP3wRid+m3Y37sBhS0gOQQKi6g4ycfp2hd2EzvIHFJTEoP74aSdLVV/1abhKOCHSfQKiKqvuxUQgiQASGCoFQdUdPprEOFW59qqfrVOUHoCi5g1W78sjA6dPcoMSJABEgAkRgIBKgnpyBmGskMxEYhARCtcYGobqkEhEgAhEiEKru8NpQk/NIf0SACBCBviJAdVBfkad0icDgJOBl5NDE48GZyaQVERgIBEK1xgaC/CQjESACfUMgVOOI5uT0TZ5QqkSACBABIkAEiEAvEyAjp5cBU/REgAgQASJABIhA3xAgI6dvuFOqRIAIEAEiQASIQC8TICPnngFfg0GTDFkvnM3kWkaeDI3h2j1LOWgi4DZHzFBAoTEIh4Leb806YKl9C8V7Lwpnk92GRbsQMkWx57DG+ylSn/O4n8reY1odBmgUCmRoxby7x/gkweldlcAQLgcFE7sFteWvY68l0Plj/jqH6zIo2ISrbEB/PvUmX4/F9cq76TXxOKAs5NhnBOTxuahhc/ss/X6ZsHwycmus6DMqHSZU5ryJcxvV/QNPX/PoHxT6XAp6V/2zYOAzcaKjYQ9y1rZg4/P++t2Ly8Bncy/ac2GHIz73MNyfN69Dne81bu/w1JPjzYPuiAARIAJEgAgQgUFCoH8bOU4bGvdqkCqT8WdrKXK2oNbS0Uvo78LWqEN5TiKfFrckTZaqgdZggV2SotPWCF15DhS8TInIKX8fTe13JD64Sy6uKmhSFUJcGdBoDbDYRXNVHOLaAUODxJ8iB+W1nvS8uzTDC8ML4sMtkB4+Age5dcJuqfEw4eR7bzevl3u4iB8CkPkMHznRYSiGQiYdauuKrxhmIXYbjNiryRDYcYxrPOy8hmfCDMNr11WeBEEgdeZ0nZyOzTYb9HlTEOU1RHUFTScrkKNwlVWZJC+dV3TIU0hZiJG68pRnKQ6llL+HGnf5UiBVU4VG2zVYare441bk7ECD7a4rkr7kIapxv3+58q0rd/OQyThOWhi86gaf8sblx8kmtPvJ2lW5CO+96//vqviu+JZDQT9pWe6S70BhAsCnLnR/Q5yXoctL9Km3uMIhcFIU4r33fo7J6W/AhiPIU35d4rcDFoM2RP0OwG6BQev5dslk3t+Avi0v4ZSFr4Q6PAOa3W8K75pYdnzerSDfyqDs+XfQZ7jK772MnEP/NXK4QrhMjeQ9UVhlvgmWvQnDjPPIURVDd0Wo4CPGwQl74w4snnMMUSv0cLAsWPYOrBseRFV6Ad5pvOFKyd6AisWLsO3qXBg7HWDZM1gX24IT+85LJLmLK7oCJM05hXGlja64On8JZf1qqFYfxRXRzuFC6F9HSfVDyDve5kpvfyxOqCXpSWJ1X3YVRuA2x/AwSq13wLIOdO58FPVZ87Fad1mYR+KOLeSF88pRrFatQfOMf0cnx8SyFqOPv4XNRlvIcP4Pw+TLBzyC5SV6jMg7wh8Y67BWYPyJFch/x+RlbHqn0VWYbuSJd8TedzFpKL1Yh0KGgbryAhzWTUiLEV4hWy1ONMVinYUrF3dgleSlfPwP8GI2UHXgY+/87/gMNVVAdsZjiOFTskG/djcMsUWwsCwc1r34XoMGyYpUvH4+BW+2sWA7m7ER72De+g+84/KS9D7x8Erzft3cQGPFMsw59nWsaOTKNwvW8XtsiDqE9PxKNPINCaG8Je/C1blHhLJbhNimWuzzKrrdKBddvXeB1O8qTL98V8PhKyjblX59zAShviG2b2Hmi3OAKh1OeX1PrsNUoweyn4H6hTdxsa4IDBag0vwlrKVpiEEHLmp/BlVWvbt+d1hfwbj61VDO2SqUvxtofKcAWfWPYif/neDe5TWIqlqOVYctwevgrnhGsLwEyprAbnpUnWZQZHHAYT2E5SmjwvtWhmLvxTtwqhF1FU8rD3VUuejnfv46zJWsGklsYd1VT7I369hChmHVlRdYh8c1AldX2brCJJYprGNvSmNzXGAr1Y8I6TnYm3VFLMMUsXU3pam7wkJdyZo552Ay8u6iPkIY37h8wnozCCeMICMWsJXmLyWaBJNd4sXvUmCSW822SdXlZYSHle89H48oh7e+YfH1zXPWhy+fJ4yQvm86ohI+YXy4ir5ceSXK6HYNfeEX15esuXIBC9+89Ck7naYKVuWVLz55EpCjjx68ZD7p9TWP0LS69TSsOojn5J9nrndFLPdC2fV9n33zzvdelNYrDSEPfPPXJ2z/f1e7eFdE/bx0F4GwbCC+fmW+XzERZfYpK1IZO8+yZSqxfhd09dJfZCaWK7F+T2Bzq1u9v0HSeL3efQ9D6VXflhdRLx82Yl3Ll4W/u753Qerj0HV5GOzZQPWYT15IgXVxHaru6Kc9ObfRcvpD6BEL5YRoj1HHtaStVtTkTkZkBR+DtFITrKXJaDccg06ng063G5r0NOTpbwnpuyx8W2IcJnidBh6NCcpYwY8THaZTqLIpMHXSGG8ZoxVQJlpRVfNZ8FVBvB+g2WwN0WvhwcFfeYURZGTiMGncMIlHOaInxCHRpkeN6brEPcQl38tgReLTj4KRwubTY0IEDPQoHL6BwnFuAt/mFrS5h/uC+RXdpWG+urc8EaPs0e8tIS/liH5iNrLVTTh0ulVoyYktxplIFnuDepRGOIH6C49wZO3CD18HmFCach0G/j3VQafVIF2ZB70YVCy7SgUktQfAl90HBV/0roq4vH7D4esVQHLjVRdJ3ENdeoWJYP2FML4h0Y/h+exp0B/6BC18D7tQJqBGRvLoAFKLZWYKnk74VoD6Xai75ePw+KzJ0K//NY42GKDzmfIQIOLATr3GJnBy4bmGU5eHwT68xCLiS/r5ikiEAzMSJ+wX9yJHMRLK9Ldx9gZX4r+JjJ06VKqFguu8htZz1jDVa8Tm9LGeuT3cmGXUFOTpvfrKw4yrB95sbyB9ZJRX+lHSj0APory3IGHwvbcEwgjdx3kij0VG/jNoXr8Pxg4nwH+Ix6Fg4TRhqIpTgUGi74c5DM165qWPefRMaIAfLsiDYoQS6dvOgh9IHjUbO02/ghqXYG6zw9neinNhv2p9zKHfvavccExovj3OunAD3jcmwxGX8UPkNr+NSiO3TQdnZNVDWTAPKQEbHnfR3tqCUEXLdq4V7c5RSFpzEOb9T+JGdSnmpysxQhZo3li4QCT+7hsbSZpel/2hLvcSqMsbWkLOIXJacHh1EWpnV6NtdybGi6YfNxm02QZMBSAfg0lTFcC5LpkC/BjuPuTGDw/iuZf3vVFXwnwyF/GiHkGkuG/O4fDtdWG4cfVQedLbAgzD+JmZyEYhakw/RTJOoSoxE8YnRvV2wkHi72seQcTqwtlpeQ+r8xowu7oVuzMnCq1pbiKlHs0QXtVxkzCVCfNVpXfVi3g4fL0C9MbNfay/XPPlNiGr5jOsSwZqqsYj2/iYdw+gW8dhGDcpDgxa3C6+F8zUSRjH17sxiE/L5P9zS7mJuh/gwFuvIl3VgrqLG6HyDRju/X1kE1CkflGXB5QsqGN/+Qz6CDgccdOfcbfM3A+FlSQR33jPboW5GX5DM87OG/CYI6ORnKEG4zdsYkeb+ZIgohwxyTORzVzAmfOfe08wszegPLV3Njty84EoYxPOi6tv+IfcRMwtSJUthDbcTa1iHkNGtsJ/6IxnJWnL8F2qXQxfhcXXo0Vkr/o6TyTaxEzDwoJxqDrwLg6dqEfioqcQd9/fwH7EQ4ImvEsn7G0taIbvcMFX6LwhWXUZsuyKw899zeF+v6vCkHVI0GHyDRnHvTyMIBOE+w0ZjZSFL0JZdRiHDr2PqsRnMD0uWOM0VJkRviEBe2KHgUmah+U5c8DYWtDa3pOFM5FkE05ZCJKPYdXl4bIPkkaEne97FRuu/PK4DGiK/hGbS3bAwH+w78JmPIQq/TSUbcqMbC+FUCnqqw7BKBgHTtsZbC1+FVr391yOGFU+ts8+jqxVVbjIzw/pgEVXgZLNjR61Yqbj5e0zcHLlK9jaYHMZOvaL0JVswFqswKaF8d5juZ6QEbgSZazHyuLdwjJjbhn4UZSs2QGUrcHCoL1LvsmPgerlYsyuKsXruouuOUKcHq+XYrObCdfDNQnTF02HreoA3rvIfWhc6b1essfTrRsWX9/0I3gfyTzhjTphXsctO8KeJsSrMwpPPJ+JRO1qLK8Yj0XTJ/ViWQjBL5I8QiQT+UfiR+Y0qvb8FjZ+HsVd2Bp2o3jlDk95g1h2V2OV9nzwstunHO7/uyqPewqL1FZU7T0RpP4Kl2/kc9YVYySZAOF9Q4T5convY/nywz4ND6kx4MQt+y04Y5Lxo40pPvX7eWhXrcZm5VpX/S7s3puq0Xm2vrBbcKqmEcj9ITKCGlGhuEaaTVdlIYgsYdbl4bEPkkaEnfutkQP5eKRt3APT0lsoUTwAmewBKEpuYalpNwqSXF38rr0GfPdo6QmhMVD99G3sSfkE6XxaMkz4+af4ds7bqC5M8kQon4jMrdXYm2hA2ghuzstk5J+dglVl8zx+MAzjMzfBuH8G2jVJiOLm44xYgGNj82E6uAJJXpOWJcEidSnIuH/GX6DhdYnCCNUxjF11CAcLUoRuWGGPgi56duTj52GrsQBjjy3ACE6P+DdwKW0ZytTSnpvhiF+4EfqCr7B+ykjIZBMwp/JvmL9hHTx7AofJN1IM/OIJL09c5amLbf/lsZitycZdbp+ch3JxuKV7273L49KRn5sAqEO1GP0UiLBDBHlEWLIuo4uZjp8eL0XKpzlQRHF7EiXh5x+PQc7RIyiUFEtX2S1HYv2/uMruiNU4+51clKnFicdcSuFx6FKmnnq43++qPB4Lt/0aBSjHFL7+WoDKTjU2/GqBR4Mw+XoCRPgqgkzC+Ybw0vPz5TLBYLpfw8P1sb6JPOVDeGj+u2hxxmBy7haf+v1fYZ6xFebjq131u3wylu45hFVjj0HFc/Z8A45vfM4zHaK76CLKJoyyEFC+MOvyML7fAaPvDUdxZVaoJViiH/odTAS4pbH5PkvNw9CPXx75lPfS/jCCDQwv3NLKDeyzEd+iQKI9zy/JfwmqxEv/ubwPPCTKUh0kgeF1Se+qFw7+podM/CNiWWE5M+O7XUZAvwPBMZJsBoK+LBuq7ui/PTm9YdFRnB4C9ktoOvdNn6XmnseAsBtvzl6ha5sbibKhYesbWH/3BSxMCbTEUhp+IF534E9Nl/HPvsv/I6aKMOR690X8RP3tvhmq6pYuvc2jW8IMXc/0rvrnfZdM/IMEc3Hafos9VX9HwU/Set7LEizyvnCPIJu+ED/SaZKRE2miAyI+7uC536FDkw9VwKWSnBJct+QubHcPzXHL4NXY4ZiL4/dj2K0vOHacw0cdWfipakzEU3cNhXFDrnewalde7w9bRkKDXuQRCfGGRhz0rvrnczhM/EP5uQgLWaIU5XCsegMvCdMg/PwNKIcIsRlQOocWVsZ1RnFeuLOahMvQIegpESACRKAXCFAd1AtQKUoiMAQIhKo7qCdnCBQAUpEIEAEiQASIwFAkQEbOUMx10pkIEAEiQASIwBAgQEbOEMhkUpEIEAEiQASIwFAkQEZOxHKd2wSvBuXFB2HhNymLWMRwTVpNhsbg2X85crFTTERgIBPogMVwCOU5iZ6z2hQ5KH/P6NmIza3e/0CXE+fxx+39JP3nwtVawj8c1x0vXRABItBfCdDE44jlDLfk+hmkn/tJ/zo3KmL6UUREoHcJhJo8GChlflfyn7+Egn3nAz0GVL9A3cEipDHDXM+/akT55GSs/XNg7y7XJBTWfYjStMivsAuVKj0jAkSg5wRC1R3Uk9NzrhSSCBCBviJgb0DF4gUuA0dViD0mKxwsC5a9A+vZ7VjC7X5s/AWy/t9puE+1unoZzbyBwx1O+iW/mpRbUcr/O9pQV8Tt0d2IqprPPGH6Sj9KlwgQgYgQICNHgtFpa8BeTYbQhZ2InPIavsvbeUWHPEWg4SJhwzzNfrzH9eJwZ1jp86CMkvi1W2DQapAqdounaqA1SLvEuWEuA7TudGWQ+fjxHq5ypSnL2AFDQxU0qQqXvIG62p02NO4NlbZEebokAgOGwG1YDpdjrdEGMCtQvb8EOUmMsLniMDApP8a2/UXg7Bxb1SmYOlzjx19ZL+EMpyMT578JpvwfMSFuJE/A1n4DfxswLEhQIkAEQhEgI0egwxkyy5LmYQ/yYe50gO38d8xoXgPV6qOwMT/Ai9lA1YGPcUU636bjM9RUAdkZz+CF0g9Rx51zpa6E2WFydXfbz0O7Yj6y6h9GqfWOq5VZ+jDqs1SYU94gHBxowjv5hahX/hKdYkt0w4OoSl+Pw6FODNe/jpLqh5B3vM0V7/5YnFAX4J3GGy6NnJehW6bGHIOYtgOdOx9FfdZ8rNZd9j4hPVQJoWdEoL8RsH+G96tOA0hA7va1mDdeGI5yyylHzJRkzOLubZ+i6U/cyeNO3Lp5HfwZ5A+OxsgHpVVfByy1O/H6+iOcBQT1jEfxLXdcdEEEiMBAJiB90weyHvco+2201LwLLZZiw7p5iOcO0Yx+FC/kzAG076Km5UGkLHwRSv5aPJDRiQ7TKVRBjYzkQEcccDtPHsT62hnYvmkZUvh5AWIrcynMa8t5I8ZpPY9aYyxmTI8TDs8cBibtVXzEHkZuqBPDGYmsGAYm+ftIYZpQ+4d2OOFEh3EXVmqnYOO6PCFtOaInZ2Pb/jk4uXIXjELr9h7BUXAicN8JuN4ZrhdnDl6c2dXxGGMxesTXANxFe2uL66TyP69F8j9IJx2PhFJdgH02AKp8aGbHDoAjN+47dkqQCAxIAmTkcNnmbMXpQ6eBxDhMcJ8SLkdM2iZYeWPjQUQ/MRvZ6iYcOt0q9IJch6lGD2TPRHLAoxFcz22J05AgTnzki4gc0RPikIhLMLfZIVckYJbqNNZXfoAGwwcwWNwzCLpXoKIVUCYCzWYr7BDS9uuWF9K26VFjut69+Mk3EegXBL7C5+cboOdk8XpfpcI50XHBhFrOyf0O2NFmviT15HOtRmHlcZikE5V9fNAtESACA48AGTnh5pk8Fhn5z6B5/T5XLwg/VDUOBQunISZQHM5raD1nDfREcLPiXOs1OKNTsOa4Efuf/ALVJcuRrhwJmSwDGq0hwBLYENEFemR7A+kjo7yWyUYp81wfiED+yY0IDAoCgpHP2ThiI8T9PnKrp676TDYGmNx8vLz0OSR5NUgGBQxSgggMaQJk5ISd/cMwfmYmssH1glxzDVUlZuL5J0YFjkE+BpOmKgI/410VmCqedh0dj7TMZSj9yArWYYWpehba16dDVWK8t1Ue/PwgYfWIuIqE/xXmDIWQjh4Rgf5J4GsYOzEOj3DCNTfhvO2uj5h3YTPsQAm3CADPehohdivMzdx41AiMHTncFUY+HmnFJShTMbBpN+EtI+1D5QOTbonAgCdARg6XhfJJmL5oOtDcgja7Z2axa1WTAhnai64hqphpWFgwDlUH3sWhE/VIXPQU4oISHI3kDDUYv4rYCXtbC5oRC+WEaP8CJGeQlLkUOdlJsJ1rRbtHHH+/QV1CpN24BamyhdCGmtQcNF56QAT6nsDXlD/ASyoGsO3AyuIdqBWHePnVhBuwOP0XMIKBquwV98nSzvZWnONsHCgRqxCMHO42+jE8nz2dXzq+ufT9iG/k2fe0SAIiMLQJBP1EDy0swxE3exmKlIdR8mYdbJxh4bwC455D0KvWYtPCeGEi4ig88XwmErWrsbxiPBZNnySZoBiNCcpYAdtt2O1OxKQsxsZZ9VhZvBsNfIvTCfvFKqzK2gNl2RosjB8u7GacAY3uorDTKrek/GPUNAC5+ekhjKhQOSRHjCof22f7pG05ipI1OwAh7VAx0DMi0G8JRCfjpZ1v8Hvh2PYVQM0P8cogi1Igeelml4FTtBcHC1KEyfxiwwLAI3GYOJabiCz+DUf8Cy+hkFtvrn8bldSbI4KhXyIwKAiQkSNko5yZhY0HD2KpoxyKKK7C/A5KHFkwHVyBJPdkZEAel4783ARA/Qymx0lahBAMpbvroYyKxfzDLXBGJyB3RzX2z/gLNIoHIJNFYcSP/4gZ+404vsZVAcvjs7DHlI+xxxZgBL+XThRGqI5h7Kpd2DhvosSI6mZ5k09E5laftPl4D0kq/27GSd6JQL8g4FopuMP4EY6ULeH3w3GJlYAlZQdw1NSIuk2zwLhrN8nKqqdjoZDaOFzAmMeQkZ1EGwH2i7wlIYhAZAnQsQ7d5em8CO3sLJzJr8buzHswQrqbLvknAoOcQKit2Qe56qQeESAC90AgVN3hbuvcQ/xDKOhd2IyHUHX3RfxE3dX+HEMIC6lKBIgAESACRKAfEiAjJ8xMcU1CfgCKkjtYtSvPawgrzCjIGxEgAkSACBABInAfCdBw1X2ETUkRASIQnECoLufgoegJESACQ51AqLqDenKGeukg/YkAESACRIAIDFICZOQM0owltYgAESACRIAIDHUCZOQM9RJA+hMBIkAEiAARGKQEyMjxytgOWAyHUJ6T6DnvSZGD8veMAc6R+h/ocuI8/vg9biQnG3Phai3CBn9eidANESACRIAIEAEicB8IkJEjQHbazmBLztNQpv8Qa/ed96C37cPaBalQzimBQXpOzld/xaUzf/b4873iwqkXo8RA5+H4oqF7IjCgCXB7ZWUooNAY+LPlXCsvQxyV4uM/crp3wFL7For3CsfORC7iIDE50WEohiIix8J0wKIrRirfOJQcneOVsq9+t2HRLoRMUQxDR4/Ou/GKvds3vZaP3ZaE25Iff/7sDN7/j2No+BN/XklPIhkSYcjI4bLZ3oCKxQtQwBk3qkLsMVnh4A+yvAPr2e389vEw/gJZ/++058DMq5fRzNs4C1Bp/tJ1qrF4CKajDXVFatpBdUi8QqTkkCMgn4zcGiuspWmICUf57voPJ07OT4cJlTlvotERboD+489peQ+r5h9HbHUrHKwVNbmT/Xd372/69VY+djtbWNQf2Yjlz8zE3MxX8dbx02C7HcfQCUBGDm7Dcrgca402gFmB6v0lyElihBduGJiUH2Pb/iJ+63hb1SmYhBbEV9ZLOMOVEyYOk8YN8y4x8n/EhLiRvJut/Qb+5v2U7ogAESACRAAPYMyoh/yNGyITksD1z3+PgxVvw2Abjglp38G2ny2ALGSIof2QjBz7Z3i/6jSABORuX4t5430MFsgRMyUZs7hyYvsUTX+6xXcV3rp5HdwVHhyNkQ9KMXJdrDvx+vojnAUE9YxH8a2hXcZIeyIQOQIdBmgUMvdQkSticRglGRp+ePgaDJpkyFI12F2eAwU3JOIe4rgLW6POe95dqgZag8/8Of5Ec40wnCKDImeL5LRz7+GqLpXzGuYQZV2I3QYj9moyhHl9icgpr5HM/eMO6jVA634u4/Vxy8lxmJyOzTYb9HlTEOXWD3DaGiTxKpCq0cIgntQuCOu0NUInsuGHjDKg0Rok6XPVnA2NunLkKFxzDRU5FTjZdKVLdQFubqMWmlSFoJs0bteQU5QyD3o0YnP6WEneSKIOoR9wBU0nK9xyySTzH51XdMhTiOVAEh9cZYIfYuTLkAIZ5e+hxs2A41SFRts1WGq3uONW5OwQDlfmeEjzPdx85GTgylxVEB5SGcO5vo03f7oKh3/3ORA3G1vfWo9vkIUTEpz06xzS42B96LSeRy3fizMHL87s6qiGsRg9gjvdT3Lg35/XIvkfJBOOZSOhVBdgHzdMqsqHZnYstVQGa+Ehvfo3AeNvcHr0WljYO7Aa85ESA9gbd2DxnGOIWqH3DElveBBV6QV4p/GGSx/nZeiWqZG8JwqrzDfBsjdhmHEeOapi6K7cjZDOR7C8RI8ReUf4oW6HtQLjT6xA/jsm12IFuwnv5BeiXvlLdIpD57yc63HYchuISUPpxToUMgzUlRfgsG5CWowc3Ed+WVIeDONegdXBgmUvYqfyDLKksvPD8/k4FrUcjbwfFg7rGkRVLfekjxtorFiG5G3XMdfIMXDAsi4WTSdqEXoGSAcuan8GVVY9xpU28owd1lcwrn41lHO2otE+DPG5h+EwV0KNJBTWXQUryO4FNoh+vB9bLU40xWKdxQGWy9v9sTihduWffPwP8GI2UHXgY1yRTtvp+Aw1VUB2xmPCEKMN+rW7YYgtgoXl9N+L7zVokKxIxevnU/BmGwu2sxkb8Q7mrf/AOy4vQbvIR9zFFV0BkuaccvNgO38JZf1qqFYfDRGvVyLuG/PvD8H2aTNuIAXPzn8K//efJ7qf0UVgAkPcyPkKn59vgJ5jkxiHCZLTxj24nOi4YEIt5+AemrKjzXzJ48XvSo3CyuMwHSxCGuPbM+TnmRyIABHoDQLMHOS88CiiMQxM/ERE4zoaDh+AOTsHeSmSIWnVImSrL6L2D+3gvovOljrs0j6Awg0FyIznZt3EYPILLyIbOuyqucT7uXdxkyTxA3LmCcxMGQVj7XlYnYCr8RWLGdPjEM0nNgxM2qv4iD2M3PjhQZK/BuNbm6BN/BnWrX5aOIU9BpNzS7E/+3dY+RY3p9CJjoajqDCrkZP3PfdJ7XLm+1iaPc2dPjqacLiiXSKjHNHx87Buw1LJqe8BxOgw4dfrGzB7+2tYLTCWM0/jZ9u2otBchuLDlnvnxyzFhnXzEM/X18PAeOXfaKQsfBFK7buoabktCOhEh+kUqqBGRvJot9BMoQbrQwOGAQAAIABJREFUMifzfF38FYBawi46DtNnTIHtpAlmu9RickcBcIaau5z45yM6TuOtlTokbixy80B0AnK3bUX2yU14y9idhSm3cGDrdhy9/CW+Pi0WFetyaZhKmhVBroe4kROEipfzdZhq9HzrhcmeieQYOeC8htZzVlcB51oiXEvLPdkYYHLz8fLS55BEBo4XSbohAn1LYAzSSk2wliaj3XAMOp0OOt1uaNLTkKfnB58B3EbL6Q+hRyyUE1zmBS8z17NgDTJBNiJKRWOCMhZobkGb3Qm5IgGzVKexvvIDNBg+8BtuCpgk31vRCGbqJIzzqtldcbvmFHKdQJtgtW5ESvvHAoP3oNXMhTKPG2Ln/gSjwObDAHJET4hDouDL/0cMNwVPJ3zLuwc7WgFlItBstvbSthq3hLjliH5iNrLVTTh0ulUwqFx1OMT621/wCLpI8/Erl3FlU2DqpDEBeFhRVfOZZzGLjxS3vvgcn3/hmdFp/v0R/Pfp/4L9wZnIf/lHiB/xoE8Iug1EwOtVCORhcLt9DWMnxuERTsnmJpyXLhHnFb8Lm2EHSjY3AngWBQunubo67VaYm7lO2xEYO1JoVcnHI624BGUqBjZtdy30wU2ZtCMC/YOAE/aLe5GjGAll+ts4e4NrnX8TGTt1qFT35ge4B9pHp2DNcSP2P/kFqkuWI105EjKZdG5L8Dhtm9Mx0mvfrq9LDBhuNel5aHMexwjlYmw7+78A5BiVsRmmygWCkXUb7a0tXQxLBUpfMowf6DE3rfFcK9qDdYoECdNtZ3ksMvKfQfP6fTByC0V442+cp/7mI2SQqFQIvWTdTqGbAYS5R9I8iZqCPH2wgT8WH737KjKmTMLDyfPwbhM3anAXv9mj5XtxYp6Mx4Yl3Opd+guHwBA3coCvKX+Al1QMYNuBlcU7JJMLbWjcuwGL038BIxioyl7BS0mjeKbO9lac48unErEKSddx9GN4Pns6v3R8c+n7sPT2yxxODpMfIkAEXAScFhxeXYTa2dVoc9SgNPcFZGbORZriltBo6WegouORlrkMpR9ZwTqsMFXPQvv6dKhKjEFb//xiB26OjridhfSXn/tyF5bDryGvdgaq21rxUekyZGZmIjNtPG66h+CHYdykuNDDUgFRdR3Ov5cpYET36DgM42dmIht61JiuuXpTEjPx/BOu+vseI+9B8ADbjAj5EngbAhkUk5MxcdIY3L30O7z8k9egb/wNztc1wY7vIztrLkbTZOOw82HIGzmITsZLO9/g98Kx7SuAmm8xySCLUiB56WaXgVO0FwcLUgSr3wl7WwuaOcSPxGHiWG4isvg3HPEvvIRCBoD+bVR2a7xVjIN+iQARCEqAH/bgXrAe/PE9sEDi04+656JwsTg7b8AzM2I44qY/AzUuwdxm9yQirKyRZWj7pvEiZ5CUuRQ52UnBe0NiHkNGtgLNZ/4Im1cD6wYay5+DS3ZhPmHiNCRIh9Odf8ONa3cEfeWISZ6JbMaHASR1n4eM5EoMdwFnzn/uPfdGZH+/ek9ipmFhwThUHXgXh07UI3HRU4i771+7UDwaUJ4ahwxt4I0clVOfw/Lif8WPpj2Iq2eNyH7+x/it2Y7h301E4Y+oF0dS6Lq8vO/Z3qVE992DHNGTs7HD+BGOlC2RtF4SsKTsAI6aGlG3aZakUpR0yT4dC4XUxuFk5yuaJNoI8L7nIyU4JAjIJ2H6oumwVR3Aexc7+PkjdstRvF6yp+vhFcEI0FcdglEYmuZ2Ot9a/Cq0kpEDeVwGNEX/iM0lO4Rdzu/CZjyEKv00lG3KRPx9qDVduyhnQKO7KMxh4ZaUf4yaBiA3P931weYNPmFexi077M4xUL1cjNknX0Xx1jOCocPtLLwZa9ZCkH00kjPUYPSHsMd4xWWIOG1o2PoKVmolO73HTMfL27+LqiwNtN3hHJOMH21MwcmVr2Brg80VPzc8tmo1NivXYtPCeO+5KaEKrZ9+oTz7PhuFJ57PRKJ2NZZXjMei6ZPCT9c3qnu55znO8OFxEbqSDViLFSF4yPCD51fhyedn4vsPXcZfre34E6bgqe/F49vUi9OtHLkPr2u35Okjz9zKARVeWLMXVnf3bjP2rlmMue6NAUXRhvNLIPnJxnszJUaR+Nw1uZF7HrgrUvRHv0SACHSfwHDEL9wIfcFXWD+Fm6cyAXMq/4b5G9ah6/btGKh++jb2pHyCdMUD/B4uE37+Kb6d8zaqC7mGifDHza/buAempbdQwvt7AIqSW1hq2o0CYcha9Npbv/L4LOwx5WPssQUYwc/liMII1TGMXbULG+dNdH2w5bGYrcnGXW6fnIdycbjlNuTj52GrcStmtL8GRRS3tcVIqI6Nxiq37HLEqFbh+J6p+DR9AqK4uCf8HB9/OwdHqwsl9dkwjM/cBOPeBNSncZyjMCLfhO+serkLztxqri0w7p+Bdk2SK/4R/wrzjK0wH1+NpIArWINQDKBfEJ8BneVx6cjPTQDUz2B6nGRaQUDfveUocPTisQDHxubDdHBFFzyikP/qTjyeyq0Q5Fb3TkbB6hdpRVU3s0rGcl9jgH/hhctuRkHeiQARIAL3TkAmk/ErFe89JoqBCHCdfBehnZ2FM/nV2J0pGIYDEMz1v/4JB/cexcSUWXhuxlQycgLkYai6g4ycAMDIiQgQgftPIFRFdf+loRQHNgFuZewbWFwSg/Lu9iANbMWHpPSh6g4arhqSRYKUJgJEgAgMTgKu+UzcEOMdrNqV18WQ0OBkQFp5CFBPjocFXREBItCHBEK1xvpQLEqaCBCBfk4gVN1BPTn9PPNIPCJABIgAESACRKBnBMjI6Rk3CkUEiAARIAJEgAj0cwJk5PTzDCLxiAARIAJEgAgQgZ4RGOJGDrfBVg3Kiw96djEVdjZVaAwhtk7vGexwQrkmzSVDY/DswRpOuJ746Z20AjDtiXDdCnMNBk2ysKNrtwL6eOZk10GTquC3VOiz3W19pPK79SmjrnxcCK1FPHXZLwQ5EAEiQASGJAHf/XqHGITraKhch7XnfoLn+4nm8vhc1LC590Wa3kmr/zENGyZ3ttGqlaiK3Y62ukyM769NAPlk5NZYIZYSrx38w1aWPBIBIkAEBj+B/lqND37ypGH/JTBmFEbQm9F/84ckIwJEgAiESWAIV+XcEMczSN/cCOjzoIzyGSJqb8LJ8hwo+C3VZVDkbBFOKL+LK7qVUCiKYejwaUN3GKBRcPH8URg+eRO6mi3IUXDbq8sgS9Vgb+MVdHBDZDmJLjdFDraIZ7xwm3RatMiQibKIwzA7YGio8gyjKHJQXmsRzrQRctrJnZquQaogL5eW1uDjx6dQ9CytDlgMWo8sMgVSNVoYLNw5QqGY3oWtUaKDLAMarQEWu5Qh50fnYSMw89XDaWuEzp03icgpfx9N7eLhgj5KSm/tFhi0gRnxLKKmIE9vg21zOka680AaAXct5Ilv/vN5L4NrmFPwk6rBblFO0T+XT7pyT5nw4udJy2lrwF5NhquMyDgdazysfIarPKHoiggQASJABKQEhrCRw50x9SHquDNr1JUwO0woTRvjZmPbV4um2CJYuLOsHG3YP/5DqPMr0Wj/GsbPzEQ2juPAqf+RnLTrRIfpFKqgRkayEI/+LWwzTMQ6i4OPo+5757A0eQImv96CH7zZCJa9iQsbv4ayea/j6JW77rT9LvSvo6T6IeQdbwPL3oF1fyxOqAvwTuMNl1fnZeiWqTHH8DBKrXfAsg507nwU9VnzsVp3WSKjX8z+DiHTcsLeWIn8rDNQ7rzIb8HPOn6PDVGHkL7qPVicwZhyhmEBkuacwrjSRjg4pp2/hLJ+NVSrj+IKb+dwce/A4jnHELVC7/LD6brhQVSlS3S1N6Bi8SJsuzoXxk4HWPYM1sW24MQ+yeGC/loB3CGBK+Yjq15kdAfW0odRn6XCnPIG3OKGCR0XUKlmwBTW4SbrXR4CRdmlm/E3OD16LSycHsZ8pMR0oLFiGeYc+zpWNHL5xJUtgR9ftlwGn/OKDsuS5mEP8mHmdOz8d8xoXiNh1WXK5IEIEAEiQASAvjmYdSCQZwo1WJc52XUwmnw8VEsXQW38FH+w3gVipmFhwURod9Whxd0RcR2mGj2QPRPJMYLtyCzFhnXzEM8dSidnkDwzCQwWYOO6PKQww7gjyxE//Wkk2n6Hs2auJyTInzQeDAOT/H2kME2o/UM7nHCiw7gLK7VTJPG6Tlbftn8OTq7cBaNvj1OQZHjnkGndhfUPn8KY+DSmx8e4YuEOM9xUA7YmN/jpzB2n8dZKHRI3FmF1CuMqdNEJyN22FdknN+EtIzfJ+joaDh+AOTsHeaIfTlfVImSrL3p0bTiKCvNCD1eOYWYBNkgPWPTTz4mOhoNYXzsD2zctE9gPA5PyY2zbvxTmteU43BuTdpk5yHmBO1xvGJj4iYjuaMLhinZk5ywSZODeQJ+yhdtoqXkXWkjKTvSjeCFnDqB9FzUtNLnYL3vJgQgQASIQhMAQ7skJQiSk8yWY2+wARuGJ5zOh1n+I0+JHp+Mz1FQB2RmPQfj8h4zpnh5GK6BMBJrNVtjhMq5sTBwmjeMMJ/FPjugJcUi06VFjui46dv/XK61hUDz+Paj0b6Py6G9h0Bk9QyhBYxZ6uGwKTJ00xtuq5uO2oqrmM3TAdXq7tTQZ7YZj0Ol00Ol2Q5Oehjz9LSF2QdfEOEzwOs04GhOUsUEl4AwozgC1JU5DAm9cil4FRhDzVXTvpd+YNJRaTShNuQ4Dr58OOq0G6co86MUkna04feg04KWjHDFpm2BlDyM3vq9OUxYFpF8iQASIwMAhQEZOD/NKHpeO/NwLWF/5CTq43hRuqEr5IhamjPbE6PWh8jj3ypXtDaSPjBLmcLjmAEVJP54RSVSO6KTVOG4ux5M3PkDJ/FQoR0Txc4185834J9eIzeljveSTCXNgXH6dsF/cixzFSCjT38bZG1wX2TeRsVOHSrVg0DmvofWc1T/qrly6DGfFudZr3RvW6yrNgM87cFGbB8UIJdK3nQU/2DhqNnaafgX1/TK0AspFjkSACBCBwUlgiC8hv4dMlX8bM1+cA2SdgmldAlBTj8TsSjzh1cNwD/F3Nyg3r+hkiCGj7sYX1L8c0fEqZHL/uaXgJgEfPfAWVqYvhrnuQ5SmBQu4AJXmfcF7IrjJtKuLUDu7Gm27Jcu3uQm9zTZgKje0MwaTpiqAc8HSCOLeZTixl6l39yZyWt7D6rwGzK5uxe7MiUKvlhMdBj2a4VIxiAbkTASIABEgAj0gQD05PYDmCiJHTMo8FCj1OHDoCE5Ujcei6ZO8h2N6HHd3Ao5GcoYaTHMTztukk5e5ibxbkCrr3U3i5EwSMpfnIJsJ1hsiR0zyTGQzF3Dm/OfevSX2BpSnxiFDexFOuxXmZiDx6UfBSEqls/MGPKaHqGsL2rxWZdnRZr4UApoYLgCjthY0IxbKCdEhwksfdTU0JvUrvXbCzqc1BU8nfEtSTr5C5w3JfCz5JExfNB1o9tbRtRJO4WIljZauiQARIAJEICgByeckqJ9B/ED6wboNu/2r7uka/Riez46FdvlKVCQ+g+lxfTFfQo4YVT62z67HyuLdaOANHW7n3qMoWbMDKFuDhRGbx3EbFu1CyFKLoeOXjHO4OmA5dQoNyER+RizkCMA0Zjpe3j4DJ1e+gq3icnn7/9/e2YBFWeYL/8fQ62ohuq5uzmgnD3Ec2xNtBcs5lZsjGOSW5VJpl0kYvIld6mvLEQj8aBOz+Dh0XD/6eiEN1xaVOX7UFmMQluYrga+FVwnLuuyGjF15XEWOqW/MvNfzzAczwzAMiMrAn+vimue5n/vj///dz33Pf/731zGMOStIZyFrZk1EE3o78Yk6TCWlVNmNNYv5AGuzX6DY7KgWh657mLu4hGOqodNKg7GQHGUrgC7/FIN0Dqvv92B0rITFczeh7xGjoYRPfoA48x427/jKtoxf0eWlXPKccnoTxGHs7adk06eY1QnrlzBXv0X2og10JB1K+PRnyNJvI+eVCls8ywmqNpViMqTbWHnLXsKEgBAQAkKgE4FBbuTYv1AuLUcfHMaj2xrdPQ2dcHkGDCU8/gmStVriZt9D+LWiqbmZhLVlbJnyNzJ1PyIoKJjhhl2MWVzK1rRo2woxT9F7dT+UifPWUrN4FLsMI+zza0Zg2DWKxXuWMXOcMvHZG9MhjEtYQ9WWKZzMjCRY2f9m+OPsGpNKzdaFRKpDfKMxPLeRTdGfEavqEMT45w9yU9JGylxXTtl13RxRSYwyHyhoEqmHbmVx/kzfGimruTZ4MHr2K6ZsqWLP0p4x0kx8jHWmZFgewXBFlxlvc+7RpbwZp/UtQ+hkntuTS/TBJHTByrypSJ7/ZDRJO7eT4ZJUo72f1Vu3Mq+9wBYv+BfktM91YeW7GHkqBISAEBACNgJBVmWzDlC/sOyXwqYHBJRhhOmGw6R+XkiC+iXfg8QSVQgIAScBZcNM6YOcOORCCAgBPwn46juule/BT9H7eTR1GMHIpbSniBMDp59XlognBISAEBACg42AGDm9qnH73BR1GCGZNxZE9eGQUK8EkkRCQAgIASEgBISABwG34SqPZ3IrBISAEBACQkAICIF+T6CroW63fXK6itTvtRMBhYAQCHgCvsbVA145UUAICIErRkDpO7r6k+GqrshIuBAQAkJACAgBIRDQBMTICejqE+GFgBAQAkJACAiBrgiIkdMVGQkXAkJACAgBISAEAppAgBk5p6jMjCIovpgGdcfYfsheOYMp3n5UAWDbjv9yj1awr+bSZVPZepmKe5UviszKjsMTLp+qXd7+XE+Xr6TkMOAI9LKdtTWwt+AlNjdcuApElN3MjWRO1dk24+yqjSm7cGfG2zfsvNz+5yqoJUUIgStEwG3i8RUqQ7LtxwQ0E5Mptyb3YwlFNCFwtQgMZWLyNnrWHCy0Vm8iKb2R1Q9fBTktDWxbvIiSsPU0V7gcZOtW9AUatq3k0ZJ/oqx5j2xS6sZGbgYbgQDz5Ay26hF9hYAQEAJeCIweyfBue+9QRg6X37Fe6EnQICLQbTO5liws5lqMBUnolPOBgiJIKtjN4ZMXr6BI9pO7dYswnriE5YSRFN1DFNSecZbpLpMiVzyZxZU0uJ2K7YzuceGeP62VZHrk75HA4/YEhz8oJEmnlBtEkC6Jgr0NtkMiHTEtZmo3ZzJVZRZE0NRMiis94jjiOofT3IerLOZqNjtd3Qr3cnf9lDKMBR1yBOmYmllMpfPQTpcC5FII9BmBroZBLbRWZqNzDudewlxrpCApwj5c49kO7PGVtvvWK/b3WGkD39gOoHXmowiu5FXSMTzk1t6VfJYzKfZlzGwnRT8MXeYf+cq4yEUWF+XV9u7e1lyeKq2RtoZKip1tz71dqUPfwbeSYjJjzotlRJCXvNTh6DD0KdvB/DKxI4LRZVZiO+e+lYbK4i50Uc7aVfojpczfOdnpMvfyjcI26NcUGF2ZxpO5uRpzqzJU59JHv3rAfvisoplnee76uOsud0LgyhDov0ZOWzWFc2az7rtHqDrXjtV6gGVhjbz/ztErQ0LJ1fINpo2/Z8jqRczUmtm58gU+SExjfuRIW5mqTKnsCp5PbbtVPWenvWUpwSXzSX29xt3Y8CqlhpDIpylIa2LRyvc4EaKczj2BwqVvU+uPkWTey/uHw1jWoPC4SMuWMN6PS+N1hxFm+SvGZ+KYUfkP5LZcxGpt59xrP2Pf3EdZYvyrX4ePKobdM5Ez2UQq9Qr3c+8ypW4phiU7OaFOBzpDbeEzzNg1jIW1ShlWrO2fsyK4lNjUIv/08MpGAoVAdwTsJ8CbPmR/o+v8l9PUlJsgcRpRodBWu4E5M3YRvNBEu/J+Km1lxfWUxLq0FbUoEyX7tWQ1tNPeUsr86J94CHCJE8Y0Imd8xNjcWlte5/4d/b4l9vagITRmNccqstDyOEX139OS+yt+Ni2BRPbw+4++cWlzFlprPqKEOOKjRnmUo9xaaDtWwkLDEvaNXUmL0r+015I7dh9z9XPUH1rq0HL71xTFadFmVHDWWkNuzGj3vDSTSC4/Tn3R46DNouJsOy25MYTSyrHi32CYu8+pS3vLSsbuW4J+xlqXdmumquQLRmUdwNr+LVXzoxihlrCT9HU1hC07YONZcQ/V8/4F3aSXOHrfKzQrfc3XSyF/Act3Kn2N8oOuiNS5B9C/dsy9n1i8o//OqXSnKXcDgYByQKfyB8p72F/+2q1nK7KsWm2WteJsu4tQ31krMiKtxBVZ612DXWL0/vKitblsoVVrKLTWnPt/9vIXWsuaL9qz7Eqm7631RY93yNT+tbUo7hZrXNHXVkXE9voiaxyPW4vqv3eK1t5cZk3W3mZNLmuytp87ZM033GI15B+ynnPG8Lywl+HJw60su3weZVmtHnK7pXHIF2nNqPjOarV6K8cj37MV1gytI36HnO56ejDpiCZXQqBLAn71Qfb31629uL2Ttj5Cm1FhPetaktt773inPd9jj/dfzVfrbMvO7NzKc+Tl2sb/bq3Jf7CjT1ATdiGXM1P78+Qya7Nb3+bR56l6aK2d9HPmo1x46KEEqTLb+xzXuK46qtd45O3Qz4OVazpHfm6ySR/gwCKfV56Ar76jn3pybL/MzBHhjA9xFTGE8fqwK2JbWk68x8pF/4fEFYlEcpg3c7YRoXh0nAdvKr/a1tDSsprok59gNBoxGndQnPmIzTXcA6k04x5i1fopfLAon51nb2dBwUJIL2Bbr1ZnnKeuvoU27My04UwYO8RFGg0h48OJMJsorzntEu7l0tLE/tL94Mbdrrd1G8kTh0JoDLktNeRGn6ZSZWDEWJxJrD4Fk5csJUgI9CkBTRjxqQ9QX7iTanWl4SVOfGSkRP8ks6IVD8loYnJraMmN4mTlLns7fYvM2BhSTOd7IIrd82LWcceE0bj2QoTo0Ee0UFL+pX0YyDPbkdz5cAJxrh6n1i8pL4HE+NsJ9Yyu3KvPW4i492do3Quz9Xl1jTT74+31ljcOXW7l3ttu9KIL9j7Ea+JeBg5B9/O7MZg2UrTzUyqNVe5D3r3MVZIJgZ4ScGtOPU18xeJbTtF0pOWKZd/rjNuOUpz0c4br57Du0H8BGkbG51GjuIYvoxOynP2Oeu1PGXlDH1SHfRxenbNjn5cT3KcGiOL2TkE3XE/sukOos5VGTue1mjeJ4zj1zW29xisJhUD3BIYwTh0OshvtluOUv/EhEYnTuVP9QaQM+2wmSTcCfexGDp1Rxlh/SvxrRorievNlXkte7JiOuT1Km7LPi/ElqyY8ltTkr1le9BmtDiPDaYh1Tmk52cQRc+dwZ4i5kaaTl5y3Pbu4xMmmRnxmf6SJk+2+cg1DPz7EVwSPZ8rQ/BL21BfwL2feI+fRqeiHB3c7R9AjE7kVApdNoA++VS9bhs4ZaEYz4Q5d5/ArGKIZ9ysyV4eRl1NCLXcxf8Us6pavZ+cJR8eiLMtcRcreKZQ1N/Fx7jMkJCSQEDOOs/XHeySZzWu0j+nr05k54kvVa6RPe4o4p9eoR9m5R44rot4+X0idL6POSVDmJXgZv3dP6dedpWEHS1KqmV7WRPvHuSQrDBLuQ3f2L9T5lYNEEgKXSSD0duITUT0pZxo/o9R0F7MnT7B5KJQl1kuy2Du9jOb2cnKTHyMh4RFidOepr/P1Nd+VTLa5Nu5tyTYfzzbXpYt0mpuY9uQMKPmImtZT1JTvczHEOqfRjJ3AHdrO4c6QTh5a5xM/LoYwdkI4PrO/YwJjg/3IqkdRNIRMNJCQnMvHVivtLTWUPXiS5bFzyOnTfbl6JJREHmQE+qeRwyii4uPQdvKOtNHcQ4PC//ocysRZS8lnA9nbGgkxpLJ++j4W/W6/3SVtLzviLm7TugwHWf6bM6d6suLrDP/33WI+mP4iq2beSOO2AtJZSMGCKHryO6mzXg5mhzlqdhhmSiz7iq4gPzYE00xg8uzJnbxStg0NdcQXf8XZ5kbq8HR7/8C5M7b1G53lkhAh0NcEbO86JUb+t3EPprgHmBw+1FZIWwv1dXQa9rGcO0PPtrvUEBo1jUTt1xw4+q3LBGKgrZqCqR0bfnrXTkNo9EzS9CZ+X7qd90vGdRhi3hKohpuOugNfuaxOUiI6+h3PoXtvmXQV5ksXOy+97jL7n67K7gjXaCNJmJ9EoraFI02n3Jl2RJMrIdCnBPqpkaMhVDUy9jB3cQnH1LHoVhqMheTk1fYpALfMQqLU+TGXFA+OWcvMVS8yvaSQN9XVS3YjwlTKpqoTtgZqMVO9diWLiv1d8aUYHG+ztHAC61c9hNb8R3KXnye/4Gki3eYeuUnl542D2T4WZb9FtWroKEtSd5KzdAPkL2WWMqfG599Qwqc/Q5Z+GzmvVNg6W8sJqjaVYjKks2bWJH6sdvz7Kdn0qb0zvoS5+i2yF23w6Q73Waw8FAI9IuAwIIykZx0ibvY9hDt6MruxYCoppcpu7FvMB1ib/QLFPXXkhCqrH5W5cytZW222tXllJ+GcFeoPkzWzJqLBPudNld/C+bbzHV/eIbfzcGIYxfMXURjhYoh51XUU0U8v5v4PXiB7rWMZtjI0nMncvLHkr0lgokNHr+m7CQyN4unV0R66HKV48RLy9ErbVnTpyz/7cv+p2RidW0u00vDRR1STQGp8WB+X15eyS14DiUDfvtd9SUZzMwlry9gcUUmMMpYbNInUQ7eyOH+mSyn2huRtvwiXWP5fKuPIv+HjlvXqLqGacQkUtbzHUnUJuWJELGbPpjs4GDueYGVsfvzzfHJTEjvLMny6gjvK95V/R6xeX9mZbZnyNzJ1PyIoKJjhhl2MWVzK1rRov36pabT3s3rrVua1F6ALVuYf/IKc9rnUbF1oM8RCJ/PcnlyiDybZngdF8vwno0nauZ0MX/7wXislCYWAFwKqATEZtJ5fmKMxPLef8JLmAAAQc0lEQVSRTdGfEau2gSDGP3+Qm5I2UpYR6SUjX0FDGJewhqotUziZGWlr88MfZ9eY1I72oMzMC48nM+ssKfobuOHRP9DoPHllKOHxT5Cs1bobYl6L1BAyKZENVWuZcnKVvW1N4tn6e9lSv9XeB3lN6GdgKJOSX/XQ5d+on7KW+j1L+uBHlqcYQ5k4by01i0exyzDCPqdpBIZdo1i8Z5nLgg7PdHIvBPqWQJCyuEvJUpmoar/s2xIkNyEgBISAHwQGYh+kDPVONxwm9fNCOV7Bj3dAogiB3hDw1Xf0X09ObzSVNEJACAiB/kJAHeo1cqmvFhX0F71EDiEQQATEyAmgyhJRhYAQCAQC9mF0dag3mTcue1FBIOgsMgqB/klAhqv6Z72IVEJg0BHw5XIedDBEYSEgBPwm4KvvEE+O3xglohAQAkJACAgBIRBIBMTICaTaElmFgBAQAkJACAgBvwmIkeM3KokoBISAEBACQkAIBBIBMXICqbZEViEgBDwItNJQWUpBUkTH+VK6JAp2eDsQ8huMSeEd8exnuynj+eq/km5vA3L6mgdiuRUCAUxAJh4HcOWJ6EJgIBHwNXnQm57qTsbPLyDtnS52HDf8loqtWcQ4jmH5oZaCSVGk/9lbbo6wSDIqPiQ3ZrQjQD6FgBDo5wR89R3iyennlSfiCQEh4IVAWzWFcx63GTiGDDbVtNCuHkZ7kZZD63lK2X276rfM/Q/H2XPAd3+lTjVwvBy62d5MRVYcUKse/CknsXlhLkFCIAAJiJETgJUmIguBwU3gAg3KwbZVZtAupGxLDkmRWvtZSEPQRj/Lui1Z6lErZvUUcNs5Cz+0HOeAAs7bid6anzA+fISK1XzyDP89uAGL9kJgwBAQI2fAVKUoIgQGCYG2L9ldsh+4jeT16V7OQdIQemsU9ys4zAc5/KfzgIXzZ0+jXHH9KEZc79r1tdKw9zVeWr5dsYCIm/IzbhwkKEVNITDQCVw30BUU/YSAEBhYBCwtR9mrenHm8eS0m7o5zXoMo4Yr3dwlTjY1oh5E/ud0ov5HuncohlQyp8sJ2d7hSKgQCDwCYuQEXp2JxEJgEBP4gW+PVmNSCESEMz7E1SPjwGKh9esa9iq3zqGp0zTXH3dE8PIZR0bRYmZNjyPSMVHZSywJEgJCILAIeOshAksDkVYICAEh4EbgNDXlJtVro02cRlSoBiynaDrSAiirp77DqkxSdk42Bm1yKv9r3kNi4LhxlBshEPgExMgJ/DoUDYTAICJwHWNuDucWReO6wxw1X/LQ/RLmyg3k5NUCD5I26y5ClRhtLdTXKYNVwxkzYqgtjWYcMdk55Bu0mIvX8LuqUx55ya0QEAKBTkCMnECvQZFfCAwyAtfp72OBQQvmDSzK3sDeBvuCb4uZ2s0rmBP7W6rQYshfyYLIkSody8kmjqgTcvSE6exGjvIk5HYeTpysLh3Py91Ng20h1iAjKuoKgYFLQIycgVu3opkQGJgEQqJY8NrL6l445nfSiNOPsO1YHKwjal6ezcDJ2szWtGhCVAIW2pobqVOubwnn5jGuUxGHMvGxBWQo++qYNlIk3pyB+c6IVoOWgBg5g7bqRXEhEKgENIRMSmRD1cdsz39K3Q/HpsltPJX/e3bW1FKx5n60zt7NZWXVvWHoXG0cJWHo7cQnRspGgIH6OojcQsAHATnWwQcceSQEhMDVI+Bra/arJ4WUJASEQKAR8NV3OH/rBJpSIq8QEAJCQAgIASEgBHwRECPHFx15JgSEgBAQAkJACAQsATFyArbqRHAhIASEgBAQAkLAFwExcnzRkWdCQAgIASEgBIRAwBIQIydgq04EFwJCQAgIASEgBHwRECPHFx15JgSEgBAQAkJACAQsATFyArbqRHAhIASEgBAQAkLAFwExcnzRkWdCQAgMEAIWWiuz0QUF2XZH7vQZQVJBOQ1tjnMdHPF1TC2opq0TBcfzWRQ3XOj8tKGYeKUMXTaVrY48O0XrJsBCW0M5BdlbO46baK0kU9eVDkHokl7tOOZCzf0UlZlRBAU9REHtGS/l2Z/HF3eU4Yx1gYbiWSovXWYl9sMznE+vzYUveX1J5Kivrtj1x/p31+f8379h7+7/5INPvuQH90dy54OAGDk+4MgjISAEBhoBl1PIlZPI1f92ztW/yNj3n8awZCcn3GwSM1Xpq3jdq4HQFZsLNO7/kLq0l3k5Yh/lNae7ithN+Gmqi5aRXtvZiNJmVHDWKb9dj3Nfs37sh8QZsjGe8Dy49H3Sl75NrdOI66Zo5bGlif2lJ0jLX0FEyUfU9NpY86OsqxYlkOq/A8rpbz8n5f5/Je6ReSRnvcw5a8czufJNQIwc33zkqRAQAgOegIaQiTNZtmIeFP+B8kZXoyISg+FYzwyE1s8oWn6cxAefJGH2OK7awZ8hk0hYlkkGRt4oP46brXaPAUN9Pktfr/HilfJWwRZaq95hed0UHvyfTzA7Yhu5Oxrc8/SWLCDD+nv9n2fNomf5sLYF/vF+Nrz5Cj8OCkjQ10RoMXKuCXYpVAgIgV4RUIdrdMQX7KC8IMk+/KRjamYJteZTNOx9lST7cI4uaQPVZk+PRnelHqe+2XVwKow52S+Q7LeBYKG15iNKiCM+ahzhkx8gzvQh+90Mp+5kUJ4rwzIPEJtXC6YU9MFRZFae8ichYKauvsXdmAl5jOzfJVDvt1fqNDXlJkicRtTIMCbPvgtT6Wc0ullOXYijnAZvLHDWQ1CQUj/FVDpOi1d1iyIofgOV1SVkTtXZhhB1SRTsbXCT22KuxeisZ2VIaTeHT17somAl2DEsFU/mW6/YZegJu/5S/w4VrXxi/Hf+ZKrlDPcwK+Uhfv3PNzseyqcfBMTI8QOSRBECQqA/ETBjSn+LyrAsGqxW2ls2c3d1JlG6qbx0NJpXmq1Yz9WxmteZufw9j+GnrvRwHOIZhn687exyR8zgmx9h1Xp/DQQX4yBUgyb8HmbHHaZ0f1MPvSCjicn9kIqMSIgror69htyY0Q6Ruvy0nGziiFlLhF5nP4HdEXUYN89MZ33yX/3zSrV+SXkJJMbfTihDe2CsnaG28Blm7BrGwtqLtuHA9s9ZEVxKbGqR+3CZ6SVyym4gZU8zVutFWraE8X5cWsfQYFs1hXNms+67R6g6147VeoBlYY28/85Rh1I+Pk2U7NeS1dBOe0sp86NH+YirPOpv9W8T9/vz37Dj9U3sbg3hxvsjeS17HuLE6aYqPR6LkeMBRG6FgBDo/wS0GZksS5ikfpFrtHcyLVoHcb9h2ZJ7baePh4QzecqtmD+oob7beSiXMFcX8dLy7WiTnyA+fKgHgCGM89NAsDTsJjfPYRwAmgk2L8jyd6i6wnNaLOYDrH3pVUzaBFLjw+jUuWtuZuaqF/3wSl2gYcfr5KneKJtxYDPW9rO86DPfE5BbD7Ot8CSJSbOJ1g6xcdSMwzBvNnFVB/mixcWzpp3HimUzmRiiSDoEbdQvidYeZu8XJ7EoHpnqnRTWz3KJE8rEhDRWKIZft3+RJCY9yKQQDRrtLdyiltFVov5a/1beK87jqwPHYXgszy97hlFi4XRViV2Gd2oHXcaUB0JACAiBgCdQS17sGI8VVj9CN7OaiPU11L6VwDhvvaJfBoJtwrFJqwxVOTwHdi+I2XQZE5A7QzfnxTLCY4VYsG4BRyJepKa2kIRxdgPDI6lm3EPde6XUCcf70SpDVaF2GKqxNhlzdxOQQ2PIbakhN/o0lUYjRuW/OJNYfQomD1k63Ybo0EdgH2qzecTMEeGMdzNQQhivD+uU1P+Aflz/1gt8++3fcc4ptn7Hp7s/oOL8TUyK1zN/SoT/akpMJwFvzdn5UC6EgBAQAv2PgLfhGH+ldF1do6yqKiPDcAuGxGlMvTvC5gXqIqtuDQS7cYD5ZWJHBDsNqWD1C76WkvIvfXtBuijXW7Db6qpzX1OWEQeGXxEz9W7udHhQvCWke6+UpfEzSk1m3A2pYehTtkO3xlorx4pT0A3XE7vuEOqi9ZHTea3mTeLwnO/iVUBboOUUTUdafETo7aP+Wf+nWw6SdPc/MXaCgV9n/oe6RHz/f77OXxQvzk9+SXrG01zfW5UHeToxcgb5CyDqC4HBS0BZVZPAy1vyCCt5ihnPv8sxn0NbrgZCMYfOtLugs69GMk2mqP57+9L0jiXqZyuyIO91dnjZU8clk95dKquqXn6TsrA/Mm/GcjYd62ZHGzev1EGbIeIs+RRVRRsxqfOAHPI7Pr+jIgOfq8UsDTtYklLN9LIm2j/OJTkhgYSE+9Cd/Qt1zjL8uNCMZsIdOj8iXk6U/lP/w0aGMT78Hwi/8CW7tlax6g+7KX17K++d/zH/+MtxPPGLSZej6KBOK0bOoK5+UV4ICAHFQ7N6y2/Rv5PFs90tsXYaCIX8dt1+F3j2Ccde5/RoCI2aRqJ2fy8mILsU4etSkWt1IVn6D0h51mOCr5d0HV6pHNZVu2wSqE44vkhyaizhnb4dRhEVH4e2y9ViFtqaG6njVu697UaXOUE/cO5MN4ZXJxntZdU10uxmeLbRXH+8U+zLCegP9T/s+hv5t8I3uC9mIiHNu8jLeYEjX/wNht1Daurj4sW5jAru9BpfRl6SVAgIASEQgASGoI1ZQkH+XX5t/OcwEP5S9Rlmh7aO1UhP3ud9Tk/oXcxK68EybDVf1/knF2hr873PrUYbS3ZBOoYqf/bDcXilLlJV9We7Fo7l7zN4ctpNLkaKQ0kNodEzSTN0tVqsw5gr2fQpZnW5uTKp9y2yF23oYOXIzuenhlBDKuun72Hu4hK7h62VBmMhOcqy+j796x/1P+qnt5GRv5qEn4/m4ldH2P/N91wfOZ6n43/Rp9oOtszEyBlsNS76CgEh4IXASCIXrCTfcJj0pWup9Lm/jsNAuM2ej301kv5JZnW5VHkkdz6cQJxpI0VVp8ByjOJ4HUFej1NwiDeU8OnPkHVpOfrgMB7d1tjNMnQNIZFP2421FaypPOE7vsMrpbWXZ2lgR+429GkziXZMOHaI4vgMuZ2HE+/C1NVqsdDJPLcnl+iDSeiClSMUInn+k9Ek7dxOhqMcR17dfWpuJmFtGZsjKokZrsxxmkTqoVtZnD+zu5S9eH6V678LCfV3Pcbkxx7glzcoESJ58IG7+amsqOqCln/BQVZlX3NQJ8nZL/1LKbGEgBAQAn1IICgoSJ3L0odZ9u+slI0N5zSRsjuZifJzs3/X1VWU7vvvz/Deu+9y7rqxzHjsAcZcP+wqlh6YRfnqO64LTJVEaiEgBIRAIBOw0PanLzjyzz9nrBg4gVyRfS77sGEjeTz52T7Pd7BmKM1rsNa86C0EhMA1JHCa6o8h87nJhF5DKaRoITDQCchw1UCvYdFPCAQIAV8u5wBRQcQUAkLgGhDw1XeIJ+caVIgUKQSEgBAQAkJACFx5AmLkXHnGUoIQEAJCQAgIASFwDQiIkXMNoEuRQkAICAEhIASEwJUnIEbOlWcsJQgBISAEhIAQEALXgIDbEnJl8o78CQEhIASuFQHpg64VeSlXCAxMAk4jRzYCHJgVLFoJASEgBISAEBisBGS4arDWvOgtBISAEBACQmCAExAjZ4BXsKgnBISAEBACQmCwEvj/qJpx9yBDcDIAAAAASUVORK5CYII=\"/>\n </p>\n <p>\n  <em>\n   A table format is not required but clear distinctions must be apparent.\n  </em>\n </p>\n <p>\n  <em>\n   The full names of the bases must be given.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. some traits may involve many genes/be polygenic\n  <em>\n   eg\n  </em>\n  : height, skin colour «correct example required» ✔\n  <em>\n   Accept any verifiable examples of these types of inheritance.\n  </em>\n </p>\n <p>\n  b. linked genes/alleles of different genes on same chromosome ✔\n </p>\n <p>\n  c. «small numbers of» recombinant phenotypes due to crossing over «between linked genes» ✔\n </p>\n <p>\n  d. co-dominance of specific alleles/intermediate forms\n  <em>\n   eg\n  </em>\n  : pink flowers «from red and white ones»/blood groups «correct example required» ✔\n </p>\n <p>\n  e. sex-linked effects\n  <em>\n   eg\n  </em>\n  : colour blindness «correct example required» ✔\n </p>\n <p>\n  f. environmental influence on inheritance/epigenetics/methylation ✔\n </p>\n <p>\n  g. any other example of non-Mendelien inheritance with a specific example ✔\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. caused by a single nucleotide/base substitution mutation/GAG to GTG ✔\n </p>\n <p>\n  b. «mutation of» a gene of β-globin/a subunit of hemoglobin ✔\n </p>\n <p>\n  c. mRNA copies the mutation of DNA and substitutes an amino acid in hemoglobin «subunit» ✔\n </p>\n <p>\n  d. glutamic acid is substituted by valine ✔\n </p>\n <p>\n  e. sickle cell anemia involves distorted hemoglobin protein/HbS ✔\n </p>\n <p>\n  f. «distorted HbS causes» distortion/sickling/shape change of red blood cells ✔\n </p>\n <p>\n  g. «distorted/sickled red blood cells» block capillaries/blood flow ✔\n </p>\n <p>\n  h. HbS/sickled red blood cells cannot carry enough oxygen «for the body»/leads to fatigue ✔\n </p>\n <p>\n  i. low oxygen concentration seriously affects structure of HbS ✔\n </p>\n <p>\n  j. homozygous «HbS/HbS» state causes severe anemia/death at low oxygen concentrations ✔\n </p>\n <p>\n  k. heterozygous state has less anemia/minor effects/less effect of structure of hemoglobin\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  heterozygous state only affected at high altitude/extreme exercise/low levels of oxygen ✔\n </p>\n <p>\n  l. «heterozygous state» provides protection against malaria parasite/selective advantage in malaria areas ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This question was well answered by most. Students are cautioned against representing bases with letter symbols such as A,C,T,G and U. The expectation of the mark scheme is that students write out the full names.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This question was less well answered. Students commonly indicated linked genes and sex-lined genes as examples of non-Mendelian inheritance. Accurate discussion of co-dominance was less frequent.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This question was well answered. The mutation and its impact was well understood by most. The genetic causes were less frequently discussed.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-7-differences-between-dna-and-rna",
+      "a1-2-nucleic-acids",
+      "d1-3-2-consequences-of-base-substitutions",
+      "d1-3-mutations-and-gene-editing",
+      "d3-2-10-incomplete-dominance-and-codominance",
+      "d3-2-11-sex-determination-in-humans-and-inheritance-of-genes-on-sex-chromosomes",
+      "d3-2-9-abo-blood-groups-as-an-example-of-multiple-alleles",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline energy flow through a food chain.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw a fully labelled graph of the action spectrum for photosynthesis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. energy from the sun/light energy is converted to chemical energy by photosynthesis ✔\n </p>\n <p>\n  b. «chemical» energy flows through the food chains by feeding ✔\n </p>\n <p>\n  c. energy is released «from carbon compounds» by respiration\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  energy from respiration is used by living organisms and converted to heat ✔\n </p>\n <p>\n  d. heat is not recyclable / heat is lost from food chains\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  heat cannot be converted to other forms of energy ✔\n </p>\n <p>\n  e. energy is lost in excretion/uneaten material/egestion/feces ✔\n </p>\n <p>\n  f. energy losses between trophic levels limits the length of food chains\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  energy transfer is only 10 % between trophic levels ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. axes correctly labelled «wavelength and\n  <span style=\"text-decoration:underline;\">\n   rate\n  </span>\n  of photosynthesis» ✔\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   Accept\n  </span>\n  <span style=\"text-decoration:underline;\">\n   rate\n  </span>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   of oxygen production for\n  </span>\n  <span style=\"text-decoration:underline;\">\n   rate\n  </span>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   of photosynthesis.\n  </span>\n </p>\n <p>\n  b. 400 and 700\n  <span style=\"text-decoration:underline;\">\n   nm\n  </span>\n  as limits ✔\n </p>\n <p>\n  c. correct shape of curve involving two peaks at the correct places, broader in the blue-violet range not starting at zero and a narrower peak in the orange-red range with the trough in the green range that does not reach zero ✔\n </p>\n <p>\n  d. peaks of activity at 430 nm\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  at 660 nm ✔\n </p>\n <p>\n  e. peaks indicated as «violet» blue light AND peak indicated as «orange» red light ✔\n </p>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Was well answered with most students being knowledgeable about ecology.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  A number of students made errors in their sketches. Axes were commonly mis-labelled. The colors were commonly presented in the reverse order with red at the left end and blue at the right end. Showing red as a higher peak was another common error. The overall shape was often correctly drawn.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-3-6-similarities-and-differences-of-absorption-and-action-spectra",
+      "c1-3-photosynthesis",
+      "c4-2-3-flow-of-chemical-energy-through-food-chains",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "19N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>An experiment was carried out on osmosis in carrot (<em>Daucus carota</em>) root tissue and potato (<em>Solanum tuberosum</em>) tuber tissue. Similar sized pieces of tissue were cut and soaked in different sucrose solutions for 24 hours. The results are shown in the graph below.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the graph, estimate isotonic sucrose solutions for potato tissue and carrot tissue.</p>\n<p>Potato:</p>\n<p>Carrot:</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a reason for the difference in the isotonic points for the potato and the carrot tissues.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>From the evidence provided by the graph, evaluate the reliability of these data.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain <strong>one</strong> reason for calculating the percentage change in mass.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>potato: 0.26 mol dm<sup>–3</sup> ✔ <em>Allow a range of 0.22–0.32</em><br/>carrot: 0.50 mol dm<sup>–3</sup> ✔ <em>Allow a range of 0.45–0.55 (Allow 1 max if no units or either unit is omitted)</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>different dissolved solutes/sugars/sucrose/salts/molarities ✔<br/><em><strong>OR</strong></em><br/>may have been grown in different soils giving their tissues different contents ✔<br/><em><strong>OR</strong></em><br/>may have been stored under different conditions ✔<br/><em><strong>OR</strong></em><br/>may be more dehydrated / different water content ✔<br/><em><strong>OR</strong></em><br/>different types of tissue / different age ✔</p>\n<p><em>Do not accept starch</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the data show clear trends<br/><em><strong>OR</strong></em><br/>a trend line could be drawn through these data<br/><em><strong>OR</strong></em><br/>there are no outliers ✔</p>\n<p>b. the error bars/standard deviations shown<br/><em><strong>OR</strong></em><br/>the error bars/standard deviations vary with concentration ✔</p>\n<p>c. sample size is unknown ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the change in mass indicates whether the tissue has gained/lost water ✔</p>\n<p>b. the pieces of tissue will not be the same mass «at the beginning of the experiment» ✔</p>\n<p>c. to compare the relative changes in mass ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d2-3-3-water-movement-by-osmosis-into-or-out-of-cells",
+      "d2-3-4-changes-due-to-water-movement-in-plant-tissue-bathed-in-hypotonic-and-those-bathed-in-hypertonic-solutions",
+      "d2-3-water-potential",
+      "d4-2-4-use-of-a-model-to-investigate-the-effect-of-variables-on-ecosystem-stability",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19N.3.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>The enzyme beta-galactosidase hydrolyses lactose to release glucose and fructose. A study was carried out to determine how acidity affects the activity of a beta-galactosidase enzyme, extracted from the fungus <em>Penicillium simplicissimum</em>.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Cruz R, <em>et al</em>. Properties of a new fungal β-galactosidase with potential application in the dairy industry.<br/><em>Revista de Microbiologia</em> <strong>30</strong>: 265–271, 1999]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State another independent variable that would affect the activity of this enzyme.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the measurements which would need to be taken to determine the activity of the beta-galactosidase at different pH values.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>temperature<br/><em><strong>OR</strong></em><br/>lactose/substrate concentration<br/><em><strong>OR</strong></em><br/>Inhibitors / cofactors ✔</p>\n<p><em>Do not accept pH or acidity</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. test samples for the concentration/amount of products/glucose/fructose/substrate/lactose ✔ <em>Accept use Benedict/Fehling to see change in amount of reducing sugar</em></p>\n<p>b. take samples of the reaction mixture at regular/timed intervals ✔ <em>Must indicate that samples are taken at timed intervals</em></p>\n<p>c. repeated measurements «at the different pH values» ✔</p>\n<p>d. measure independent/controlled/standardised/variables / temperature ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-1-9-transpiration-as-a-consequence-of-gas-exchange-in-a-leaf",
+      "b3-1-gas-exchange",
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism"
+    ]
+  },
+  {
+    "question_id": "19N.1B.SL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the solute concentration of the zucchini cells.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   If a zucchini is allowed to dry in the open air, predict how the osmolarity of the zucchini cells would change.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain\n   <strong>\n    one\n   </strong>\n   reason for calculating the percentage changes in mass.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Predict what would happen to a red blood cell placed in distilled water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.36 mol dm\n  <sup>\n   -3\n  </sup>\n  /M ✔\n </p>\n <p>\n  <em>\n   Units required\n  </em>\n  <br/>\n  <em>\n   Allow a range of 0.35–0.37 mol dm\n   <sup>\n    -3\n   </sup>\n   /M\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  osmolarity will increase «because the cells become dehydrated»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  the cells become hypertonic ✔\n </p>\n <p>\n  <em>\n   Accept water potential of the tissue decreases.\n  </em>\n  <br/>\n  <em>\n   Do not accept \"change\" instead of \"increase\".\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. the change in mass indicates whether the tissue has gained/lost water ✔\n </p>\n <p>\n  b. the pieces of tissue will not all be the same mass «at the beginning of the experiment» ✔\n </p>\n <p>\n  c. to compare the relative changes in mass ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  a. water would move into the red blood cells ✔\n </p>\n <p>\n  b. it would lyse\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  swell\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  burst ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d2-3-3-water-movement-by-osmosis-into-or-out-of-cells",
+      "d2-3-4-changes-due-to-water-movement-in-plant-tissue-bathed-in-hypotonic-and-those-bathed-in-hypertonic-solutions",
+      "d2-3-water-potential"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>The black-legged tick (<em>Ixodes scapularis</em>) is an arthropod which sucks blood from humans and other mammals. It is encountered mainly in wooded and semi-wooded areas. Some ticks can be infected by the bacterium <em>Borrelia burgdorferi</em>. When a tick bites a human, the bacterium is often introduced, causing Lyme disease. Lyme disease is a public health problem in North America and, if left untreated, can cause important neurological impairment. The diagram represents the two-year life cycle of a tick.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Cary Institute of Ecosystem Studies / Leslie Tumblety]</p>\n</div><div class=\"specification\">\n<p>Scientists fear that global warming will change the distribution range of ticks.</p>\n<p>The graphs show the developmental stages of ticks throughout seasons in a densely human-populated area of south-eastern Canada, surrounded by woods (circled on the map). Values are already established for 2000 and are predicted for 2080.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: reprinted from <em>International Journal for Parasitology</em>, <strong>36</strong>(1), N.H. Ogden, A. Maarouf, I.K. Barker, M. Bigras-Poulin,<br/>L.R. Lindsay, M.G. Morshed, C.J. O’Callaghan, F. Ramay, D. Waltner-Toews, D.F. Charron, Climate change<br/>and the potential for range expansion of the Lyme disease vector Ixodes scapularis in Canada,<br/>63–70, Copyright (2006), with permission from Elsevier]</p>\n</div><div class=\"specification\">\n<p>White-footed mice (<em>Peromyscus leucopus</em>) in eastern North America’s wooded areas often host <em>B. burgdorferi</em> bacteria. To determine whether bacterial transmission from mice to tick nymphs could be prevented, mice were vaccinated with antigens from Lyme disease-causing <em>B. burgdorferi</em>. Scientists captured wild mice at two different sites in the woods once a month, over 4 months. Each time, they measured the levels of antibodies to <em>B. burgdorferi</em> present in the captured and re-captured mice, inoculated all of them, and released them into the woods. The control group was not vaccinated with <em>B. burgdorferi</em> antigen.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Copyright (2004) National Academy of Sciences, U.S.A. An ecological approach to preventing human infection:<br/>Vaccinating wild mouse reservoirs intervenes in the Lyme disease cycle, Jean I. Tsao, J. Timothy Wootton, Jonas Bunikis,<br/>Maria Gabriela Luna, Durland Fish, Alan G. Barbour, <em>Proceedings of the National Academy of Sciences</em><br/>Dec 2004, <strong>101</strong> (52) 18159–18164; DOI: 10.1073/pnas.0405763102]</p>\n</div><div class=\"specification\">\n<p>The summer after vaccination, the prevalence of <em>B. burgdorferi</em> infection in tick nymphs collected on mice from the two sites was measured.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Copyright (2004) National Academy of Sciences, U.S.A. An ecological approach to preventing human infection:<br/>Vaccinating wild mouse reservoirs intervenes in the Lyme disease cycle, Jean I. Tsao, J. Timothy Wootton, Jonas Bunikis,<br/>Maria Gabriela Luna, Durland Fish, Alan G. Barbour, <em>Proceedings of the National Academy of Sciences</em><br/>Dec 2004, <strong>101</strong> (52) 18159–18164; DOI: 10.1073/pnas.0405763102]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the domain into which ticks are classified.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using information from the text, identify <strong>one</strong> possible simple treatment for Lyme disease.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the month when small birds had the greatest chance of being infected by <em>B. burgdorferi</em> bacteria in the year 2000 <strong>and</strong> the month when they would be most likely to become infected according to the 2080 predictions.</p>\n<p>2000: </p>\n<p>2080:</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the life cycle diagram and the graph for the year 2000, analyse the distribution of adult ticks throughout the different seasons.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Evaluate the effect of the change in distribution of the different life stages of ticks on the spread of Lyme disease in south-eastern Canada.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the reason for performing the experiment in the months of May to August.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest possible reasons for the observed pattern of presence of antibodies in vaccinated mice.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">f.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Analyse the data on the state of infection of tick nymphs with <em>B. burgdorferi</em> in control and vaccinated mice.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using <strong>all</strong> the data, discuss whether inoculating mice with the antigen to <em>B. burgdorferi</em> could be an effective method of controlling the spread of Lyme disease.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>eukaryote ✔</p>\n<p><em>Accept eukaryotes</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>antibiotics / named antibiotics ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«2000» August AND «2080» July ✔</p>\n<p><em>Both required</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. adults present through autumn and winter «according to the life cycle diagram»<br/><em><strong>OR</strong></em><br/>some adults «must» survive winter «despite graph suggesting zero» ✔</p>\n<p>b. adults peak in October «&amp; November»/in autumn/between September and December ✔</p>\n<p>c. adults die after laying eggs in winter/beginning of spring ✔</p>\n<p>d. smaller peak/10 % versus 55 % peak/smaller numbers of adults in April/spring ✔</p>\n<p>e. adults absent from June to September/summer ✔</p>\n<p><em>Each mark point, requires month or season.</em><br/><em>Jan - Mar = winter</em><br/><em>Apr - Jun = spring</em><br/><em>Jul - Sep = summer</em><br/><em>Oct - Dec = autumn = fall</em></p>\n<p><em>Do not accept that there are the lowest number or no adults in winter.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">nymphs</span> present through most of year/longer period/from March to November/through spring and summer «so more risk of infection» ✔</p>\n<p>b. more <span style=\"text-decoration: underline;\">adults</span> in winter/in January/February so more risk of infection then ✔</p>\n<p>c. infection will be possible through more/most months of/throughout the year ✔</p>\n<p>d. Lyme disease likely to/will increase ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>because nymphs are present/numbers of nymphs rise «in these months»<br/><em><strong>OR</strong></em><br/>build up immunity/antibodies in mice before nymphs «peak» ✔</p>\n<p><em>Ignore references to larvae</em>.</p>\n<div class=\"question_part_label\">f.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. low antibody level initially as mice not previously exposed to antigen/bacteria ✔</p>\n<p>b. vaccination causes antibody production/development of immunity ✔</p>\n<p>c. increased proportion of mice have been vaccinated in each successive month ✔</p>\n<p>d. second vaccination/booster shot increases antibody level/speeds up antibody production ✔</p>\n<p>e. <span style=\"text-decoration: underline;\">memory cells</span> produced so greater/faster antibody production ✔</p>\n<p>f. many/rising numbers of nymphs which may spread the bacteria/antigens to mice ✔</p>\n<p><em>Ignore any references to non-vaccinated/control mice – this means that no marks are awarded for them because the question is about vaccinated mice, but there is no penalty for including this information in an answer</em>.</p>\n<div class=\"question_part_label\">f.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. at Site 1 there is little/no significant difference in the proportion of infected nymphs/numbers of infected and uninfected nymphs collected from both control and vaccinated mice ✔</p>\n<p>b. at Site 2 the proportion of infected nymphs is lower in those collected from vaccinated than control mice<br/><em><strong>OR</strong></em><br/>at Site 2 «significantly» more nymphs are not infected from vaccinated than control mice ✔ <em>For mpb and mpd, accept converse answers that give the proportions/percentages of uninfected nymphs rather than infected</em>.</p>\n<p>c. at both sites there are fewer infected than uninfected nymphs in those collected from both vaccinated and control mice ✔</p>\n<p>d. proportion of infected nymphs is lower at Site 1 than Site 2 in nymphs collected from both control and vaccinated mice<br/><em><strong>OR</strong></em><br/>22 % of control mice and 23 % of vaccinated mice with infected nymphs at Site 1 <em><strong>AND</strong></em> 39 % of control mice and 29 % of vaccinated mice with infected nymphs at Site 2 ✔ <em>Percentages are required for the second alternative of mpd</em>.</p>\n<p><em>Accept “ticks” instead of “tick nymphs” or “nymphs” </em></p>\n<p><em>Do not accept quoting of untransformed numerical data</em>.</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">Site 2</span> suggests that vaccination could reduce «nymph» infection rate «so method might be effective» ✔</p>\n<p>b. <span style=\"text-decoration: underline;\">Site 1</span> suggests that vaccination does not reduce «nymph» infection rate «so method probably not effective» ✔</p>\n<p>c. effective «to some extent» as vaccination increases antibodies/immunity in mice ✔</p>\n<p>d. high antibody levels needed/ many mice need to be vaccinated «for the method to be effective» ✔</p>\n<p>e. some nymphs are still infected / «absolute» numbers «rather than proportions» of infected nymphs are similar in those collected from control and vaccinated mice ✔</p>\n<p>f. there are other hosts/mammals/birds ✔</p>\n<p>g. difficult/expensive «to vaccinate many small mammals/mice»<br/><em><strong>OR</strong></em><br/>cheaper to use protective clothing/tick repellant/avoid wooded areas/other method ✔</p>\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">h.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a3-2-7-analysing-cladograms",
+      "a3-2-9-classification-of-all-organisms-into-three-domains-using-evidence-from-rrna-base-sequences",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "a4-2-conservation-of-biodiversity",
+      "c3-2-10-immunity-as-a-consequence-of-retaining-memory-cells",
+      "c3-2-7-antigens-as-recognition-molecules-that-trigger-antibody-production",
+      "c3-2-8-activation-of-b-lymphocytes-by-helper-t-lymphocytes",
+      "c3-2-9-multiplication-of-activated-b-lymphocytes-to-form-clones-of-antibody-secreting-plasma-cells",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows one of Thomas Hunt Morgan’s crosses of <em>Drosophila</em> in the early 20th century.</p>\n<p style=\"text-align: left;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of inheritance shown.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the recombinants.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The chi-squared value was calculated as shown. Deduce, with reasons, whether the observed ratio differed significantly from the expected Mendelian ratio.</p>\n<p style=\"text-align: center;\"><img 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\" style=\"float: left;\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«gene/autosomal» linkage ✔</p>\n<p><em>Reject sex linkage</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>grey vestigial and black normal ✔</p>\n<p><em>Accept Ggvv and ggVv or alternative acceptable upper/lower case genotypes.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. yes/observed ratio did differ significantly «from the expected Mendelian ratio»<br/><em><strong>OR</strong></em><br/>expected ratio is 1:1:1:1 / 575 of each type / 25 % of each type ✔ <em>Correct ratio not needed in first alternative of mpa</em></p>\n<p>b. 3 degrees of freedom ✔</p>\n<p>c. critical value is 7.815 «at the 5 % level / 11.345 «at the 1 % level» ✔ <em>Accept mpc if candidates indicate the critical value of chi squared by circling it.</em></p>\n<p>d. chi-squared value «of 1002.6» exceeds the critical value ✔</p>\n<p><em> Allow other levels of significance as long as the critical value is correctly stated for the chosen level</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d3-2-17-punnett-grids-for-predicting-genotypic-and-phenotypic-ratios-in-dihybrid-crosses-involving-pairs-of-unlinked-autosomal-genes",
+      "d3-2-18-loci-of-human-genes-and-their-polypeptide-products",
+      "d3-2-19-autosomal-gene-linkage",
+      "d3-2-20-recombinants-in-crosses-involving-two-linked-or-unlinked-genes",
+      "d3-2-21-use-of-a-chi-squared-test-on-data-from-dihybrid-crosses",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe what is shown in a cladogram.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how variation in organisms of the same species could lead to natural selection.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. similarities/differences between organisms/species/clades ✔ <em>mpa and mpd concern actual characteristics, not evolutionary relationships</em>.</p>\n<p>b. «probable» evolutionary relationships/closeness/common ancestry/phylogeny ✔ <em>mpb concerns such relationships</em></p>\n<p>c. divergence/splits/speciation/branches/nodes ✔ <em>mpc concerns the structure branching of the cladogram</em></p>\n<p>d. relative similarity/differences between base sequence/amino acid sequence ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. survival of the better adapted/fittest ✔</p>\n<p>b. more reproduction of better adapted/fittest/individuals with favorable variations ✔</p>\n<p>c. genes for favorable variations/adaptations passed on to offspring ✔ <em>Accept answers in the converse</em>.</p>\n<p>d. competition for resources/more offspring produced than the environment can support/a struggle for existence ✔ <em>Accept answers in the converse</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a3-2-7-analysing-cladograms",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "a4-1-1-evolution-as-change-in-the-heritable-characteristics-of-a-population",
+      "a4-1-evolution-and-speciation",
+      "c1-2-10-anaerobic-cell-respiration-in-yeast-and-its-use-in-brewing-and-baking",
+      "c1-2-5-differences-between-anaerobic-and-aerobic-cell-respiration-in-humans",
+      "c1-2-cell-respiration"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structure of a section of DNA showing all possible bases.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the structural and genetic characteristics of eukaryotic chromosomes.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how a polypeptide chain is synthesized in a eukaryotic cell.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. sugar, phosphate and base linked correctly to form at least one nucleotide ✔ <em>For mpa, ignore labelling of the subunits of the nucleotide. Carbon atoms in deoxyribose do not have to be numbered but the phosphate should be linked to C5 and the base to C1. Shapes other than circles and rectangles could be used for the phosphate and base</em>.</p>\n<p>b. <span style=\"text-decoration: underline;\">deoxyribose</span>, <span style=\"text-decoration: underline;\">phosphate</span> and base/named base labelled at least once ✔</p>\n<p>c. <span style=\"text-decoration: underline;\">adenine</span> paired with <span style=\"text-decoration: underline;\">thymine</span> and <span style=\"text-decoration: underline;\">cytosine</span> paired with <span style=\"text-decoration: underline;\">guanine</span> ✔ <em>For mpc, full names of all four bases are required, but not relative sizes of the purine and pyrimidine bases</em>.</p>\n<p>d. two antiparallel chains of nucleotides linked by <span style=\"text-decoration: underline;\">hydrogen bonds</span> with all sugar-phosphate bonds in correct position ✔ <em>For mpd, a bond should connect the C3 of deoxyribose on one nucleotide to the phosphate on the adjacent nucleotide. Two nucleotides in each strand is sufficient</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. linear/not circular DNA molecule<br/><em><strong>OR</strong></em><br/>one chromosome is one molecule of DNA/one chromosome is two DNA molecules «after replication» ✔</p>\n<p>b. associated with histone proteins/nucleosomes ✔</p>\n<p>c. centromere joins sister chromatids «after DNA replication» ✔</p>\n<p>d. telomeres at the end «of the chromosome/chromatid» ✔</p>\n<p>e. carries a sequence of genes / each gene occupies a specific locus ✔<em> Do not accept ‘sequence of bases’ for mpe</em>.</p>\n<p>f. alternative alleles of genes / homologous chromosomes carry same sequence of genes ✔</p>\n<p>g. chromosomes in pairs / two «homologous chromosomes» of each type «in a diploid cell» ✔</p>\n<p>h. non-coding sequences/example of a non-coding sequence ✔ <em>Do not allow mph if the response states that chromosomes are always condensed</em>.</p>\n<p>i. supercoiled/condensed «during mitosis/meiosis» ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">translation</span> occurs on ribosomes ✔</p>\n<p>b. tRNA-activating enzymes attach amino acids to tRNAs ✔</p>\n<p>c. small and large <span style=\"text-decoration: underline;\">ribosome</span> units assemble on mRNA<br/><em><strong>OR</strong></em><br/>translation/polypeptide synthesis starts at a start codon ✔</p>\n<p>d. each tRNA arriving at the ribosome binds to the A site ✔</p>\n<p>e. anticodon «on tRNA» binds to codon «on mRNA» ✔</p>\n<p>f. according to complementary base pairing/A with U and G with C ✔</p>\n<p>g. ribosome moves along the mRNA / mRNA moves over ribosome ✔</p>\n<p>h. t-RNA shifts from the A site to P site/from the P to the E site ✔</p>\n<p>i. peptide bond between amino acids «on tRNAs at A and P sites» ✔</p>\n<p>j. tRNA released from ribosome at E site ✔</p>\n<p>k. cycle repeats with other tRNAs / polypeptide grows as tRNAs bring more amino acids ✔</p>\n<p>l. until stop codon on mRNA is reached ✔</p>\n<p>m. components are disassembled / polypeptide leaves the ribosome ✔</p>\n<p><em>Accept these points in an annotated diagram.</em><br/><em>Do not award any marks for events in transcription.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b1-1-2-production-of-macromolecules-by-condensation-reactions-that-link-monomers-to-form-a-polymer",
+      "b1-1-carbohydrates-and-lipids",
+      "b1-2-4-infinite-variety-of-possible-peptide-chains",
+      "b1-2-proteins",
+      "c2-1-3-hormones-neurotransmitters-cytokines-and-calcium-ions-as-examples-of-functional-categories-of-signalling-chemicals-in-animals",
+      "c2-1-4-chemical-diversity-of-hormones-and-neurotransmitters",
+      "c2-1-chemical-signalling-[hl-only]",
+      "d1-2-5-translation-as-the-synthesis-of-polypeptides-from-mrna",
+      "d1-2-protein-synthesis"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reasons for the differences in blood concentrations between the renal artery and the renal vein.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how two parents could have a child with any of the four ABO blood groups.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the control mechanism of the heart rate.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. urea/waste products lower in vein due to excretion «in urine»/ultrafiltration but not reabsorption ✔</p>\n<p>b. oxygen lower in vein due to use in cell respiration/in kidney tissue ✔</p>\n<p>c. carbon dioxide higher in vein due to production by cell respiration/excretion by kidney cells ✔</p>\n<p>d. glucose lower in vein due to use in cell respiration «by kidney tissue» ✔</p>\n<p>e. sodium/chloride/ion concentrations changed due to production of hypertonic/hypotonic urine<br/><em><strong>OR</strong></em><br/>sodium/chloride/ion concentrations lower due to removal of excess ✔</p>\n<p>f. ion/solute concentrations lower in vein than artery if ADH has been secreted<br/><em><strong>OR</strong></em><br/>ion/solute concentrations in vein vary depending on amount of water reabsorbed in the collecting duct ✔</p>\n<p>g. drug/toxin concentrations lower in vein due to excretion in urine ✔</p>\n<p><em>Accept any point given as the converse.</em></p>\n<p><em>Each mark point includes a difference and reason for it.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. I<sup>A</sup>, i for one set of gametes/parental genotype ✔</p>\n<p>b. I<sup>B</sup>, i for the other set of gametes/parental genotype ✔</p>\n<p>c. «genotypes of offspring are» I<sup>A</sup>I<sup>B</sup>, I<sup>A</sup>i, I<sup>B</sup>i, ii ✔</p>\n<p>d. «phenotypes of offspring are» AB, A, B, O ✔</p>\n<p><em>Answers can be given in a Punnett grid or in prose. </em></p>\n<p><em>Accept the four possible blood groups of the offspring anywhere in the answer.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">sinoatrial node/SAN</span> is a specialized group of muscle cells<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">sinoatrial node/SAN</span> is located in the right atrium ✔</p>\n<p>b. acts as a pacemaker/controls the heart rate<br/><em><strong>OR</strong></em><br/>initiates/generates the heart beat/starts the cardiac cycle ✔</p>\n<p>c. sends out electrical signal/impulses/depolarisations ✔</p>\n<p>d. electrical signal stimulates contraction «of heart muscle» ✔</p>\n<p>e. signal passes through walls of atria/passes to AV node ✔</p>\n<p>f. then through walls of the ventricles ✔</p>\n<p>g. medulla «oblongata of brain» can change/increase/decrease the rate ✔</p>\n<p>h. through nerves/named example of nerve/autonomic/sympathetic/ parasympathetic nervous system ✔ <em>In mph, only accept vagus nerve for slowing heart rate and sympathetic nerve for accelerating it</em>.</p>\n<p>i. one nerve increases the rate and the other decreases it ✔</p>\n<p>j. epinephrine/adrenaline increases heart rate/force of contraction ✔</p>\n<p>k. epinephrine/adrenaline prepares the body for vigorous activity/is part of fight or flight response ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c3-1-14-feedback-control-of-heart-rate-following-sensory-input-from-baroreceptors-and-chemoreceptors",
+      "c3-1-integration-of-body-systems",
+      "d3-2-9-abo-blood-groups-as-an-example-of-multiple-alleles",
+      "d3-2-inheritance",
+      "d3-3-8-role-of-the-glomerulus-bowmans-capsule-and-proximal-convoluted-tubule-in-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>Cultivated rice, <em>Oryza sativa</em>, is one of the most important human foods. The two main sub-species of cultivated rice are <em>O. sativa indica</em> and <em>O. sativa japonica</em>. <em>O. rufipogon</em> is a wild species from which they probably evolved.</p>\n</div><div class=\"specification\">\n<p>To investigate whether the sub-species of cultivated rice evolved independently from the wild species, scientists analysed their chromosomes to find areas with similar DNA base sequences. Wild species tend to have many different alleles of genes present on each chromosome, but during the development of a crop plant by artificial selection from a wild species, this diversity drops considerably, increasing the base sequence similarity.<br/>The number of different alleles of the genes on a chromosome can be represented by a diversity index. The following graph of part of chromosome 7 shows the diversity index of <em>O. rufipogon</em> and two varieties of cultivated rice, <em>O. sativa indica</em> and <em>O. sativa japonica</em>. The gene PROG1 allows the plant to stand upright, which is typical of cultivated rice. Its position is indicated by the vertical arrow on the graph.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: He Z, Zhai W, Wen H, Tang T, Wang Y, Lu X, <em>et al</em>. (2011) Two Evolutionary Histories in the Genome of Rice:<br/>the Roles of Domestication Genes. <em>PLoS Genet</em> <strong>7</strong>(6): e1002100. https://doi.org/10.1371/journal.pgen.1002100]</p>\n</div><div class=\"specification\">\n<p>In another experiment, scientists retrieved genome sequences of the wild rice <em>O. rufipogon</em> taken from a wide range of geographical sites (I, II and III) and those of the two sub-species of <em>O. sativa</em> from gene banks.</p>\n<p>The pie charts, presented along with a cladogram, show the proportion of alleles for three genes which confer specific characteristics to <em>O. sativa</em>. Mutations can produce derived alleles that are different from the original ancestral alleles. The control group represents wild rice species other than <em>O. rufipogon</em>.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: reprinted by permission from Springer Nature: Nature, Huang, X., Kurata, N., Wei, X. <em>et al</em>. A map of rice<br/>genome variation reveals the origin of cultivated rice. <em>Nature</em> <strong>490</strong>, 497–501 (2012) doi:10.1038/nature11532]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the reason that <em>O. sativa</em> and <em>O. rufipogon</em> are classified as different species.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine which type of rice has the lowest overall diversity index.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the trends for <em>O. rufipogon</em> and <em>O. sativa indica</em>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the proportion of the ancestral allele for the gene GS3 in the <em>O. rufipogon-III</em> population.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the proportion of ancestral and derived alleles for all three genes in <em>O. sativa indica</em> and <em>O. sativa japonica</em>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> reason for having a control group. </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using <strong>all</strong> of the data, discuss whether there is evidence that the two sub-species of <em>O. sativa</em> might have evolved independently from <em>O. rufipogon</em>.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>cannot interbreed to produce <span style=\"text-decoration: underline;\">fertile</span> offspring ✔</p>\n<p><em>Accept converse or a good explanation</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>O. sativa</em>» <em>japonica</em> ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Similarities</em><br/>both show diversity<br/><em><strong>OR</strong></em><br/>similar pattern/peaks and troughs in the first part of the chromosome / up to «approximately» 1.5 megabases<br/><em><strong>OR</strong></em><br/>similar diversity between 2.4 to 2.7 mb<br/><em><strong>OR</strong></em><br/>both highest at 0.7 mb ✔</p>\n<p><em>Differences</em><br/>there are «two» major drops in diversity for <em>O. sativa indica</em> whereas none for <em>O. rufipogon</em>/much wider fluctuations in <em>O. s. indica</em><br/><em><strong>OR</strong></em><br/><em>O.s. indica</em> much lower at PROG1<br/><em><strong>OR</strong></em><br/><em>O.rufipogon</em> does not drop &lt; 2.5 whereas <em>O. s. indica</em> approaches 0<br/><em><strong>OR</strong></em><br/><em>O.rufipogon</em> generally higher than <em>O. s. indica</em> after 1.4-1.5 ✔</p>\n<p><em>One answer from mpa and one from mpb required for 2 [max]</em>.</p>\n<p><em>Accept a statement of where the drops occur.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"mjpage\"><math alttext=\"\\frac{3}{4}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"> <mfrac> <mn>3</mn> <mn>4</mn> </mfrac> </math></span> /0.75/75% ✔</p>\n<p><em>Do not accept 0.75% or 75 or ratios</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a.<em> O.s. indica</em> has more of the ancestral allele «for all three genes» ✔ <em>Accept converse</em>.</p>\n<p>b. lower/higher values for ancestral/derived are not for the same genes ✔ <em>Allow specific gene examples</em>.</p>\n<p>c. for <em>O. s. indica</em> the highest proportion is for <span style=\"text-decoration: underline;\">DPL2</span> <span style=\"text-decoration: underline;\">ancestral</span>, but for <em>O. s. japonica</em> is <span style=\"text-decoration: underline;\">GS3</span> <span style=\"text-decoration: underline;\">derived</span> allele ✔ <em>Allow converse for smallest derived.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>any reference to comparison ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. large difference in diversity index between <em>O. s. indica</em> and <em>O. s. japonica</em> «suggests independent evolution» ✔</p>\n<p>b. «some of the» peaks/troughs for <em>O. s. indica</em> and <em>O. s. japonica</em> in different positions «suggests independent evolution» ✔</p>\n<p>c.<em> O.s. indica</em> has a similar diversity index to <em>O. rufipogon</em> «which suggests closer relationship/recent divergence» ✔<br/><em>Allow converse for japonica</em></p>\n<p>d.<em> O.s. japonica</em> has very different proportions of ancestral and derived alleles compared to <em>O. s. indica</em> ✔</p>\n<p>e.<em> O.s. indica</em> has similar large number of ancestral alleles to <em>O. rufipogon I/II</em> ✔ <em>Allow converse for derived</em></p>\n<p>f. <em>O.s. japonica</em> has a large number of derived alleles similar to <em>O. rufipogon III</em><br/><em><strong>OR</strong></em><br/>«but» the number of derived alleles is greater in <em>O. s. japonica</em> than in <em>O.rufipogon III</em> ✔ <em>Allow converse for ancestral</em></p>\n<p>g.<em> O.s. indica</em> and <em>O. s. japonica</em> are in different clades ✔<br/><em><strong>OR</strong></em><br/><em>O.s. indica</em> and <em>O. rufipogon</em> I are in the same clade ✔</p>\n<p>h. evidence from one chromosome/3 genes/2 studies is not sufficient to form a conclusion ✔</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a3-1-diversity-of-organisms",
+      "a3-2-7-analysing-cladograms",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "a4-2-conservation-of-biodiversity",
+      "c3-2-10-immunity-as-a-consequence-of-retaining-memory-cells",
+      "c3-2-7-antigens-as-recognition-molecules-that-trigger-antibody-production",
+      "c3-2-8-activation-of-b-lymphocytes-by-helper-t-lymphocytes",
+      "c3-2-9-multiplication-of-activated-b-lymphocytes-to-form-clones-of-antibody-secreting-plasma-cells",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   Outline how these results indicate that blackberry distribution is limited by light intensity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   A pyramid of energy represents the amount of energy taken in by each trophic level per unit time and per unit area. Discuss the advantages and disadvantages of the use of pyramids of energy as models of energy flow in an ecosystem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. as light level changes so does the percentage cover «of blackberry» ✔\n </p>\n <p>\n  b. distribution is higher at intermediate/moderate light intensities ✔\n  <em>\n   Accept appropriate numerical values\n  </em>\n </p>\n <p>\n  c. little growth at low light intensities\n  <br/>\n  <strong>\n   OR\n  </strong>\n  <br/>\n  little growth at high light intensities ✔\n  <em>\n   Accept appropriate numerical values\n  </em>\n </p>\n <p>\n  d. distribution is bell shaped ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages\n  </em>\n  :\n  <br/>\n  a. can show the energy loss/transfer between trophic levels ✔\n </p>\n <p>\n  b. permits a ‹quantitative› comparison between ecosystems ✔\n </p>\n <p>\n  c. shows change over time ✔\n </p>\n <p>\n  <em>\n   Disadvantages\n  </em>\n  :\n  <br/>\n  d. are difficult to produce accurately ✔\n </p>\n <p>\n  e. require destructive methods to obtain the data ✔\n </p>\n <p>\n  f. do not show all the interactions/food chains/feeding relationships «between different members of the community» ✔\n </p>\n <p>\n  g. cannot represent organisms that feed at different trophic levels ✔\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [3 max]\n   </strong>\n   if only one side of the argument is given\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-3-7-techniques-for-varying-concentrations-of-carbon-dioxide-light-intensity-or-temperature-experimentally-to-investigate-the-effects-of-limiting-factors-on-the-rate-of-photosynthesis",
+      "c1-3-photosynthesis",
+      "c4-2-11-construction-of-energy-pyramids",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.13",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   Explain why some biologists think protecting keystone species would help preserve biological diversity in an ecosystem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   Compare and contrast fundamental and realized niche of a species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a large effect on the ecosystem/community structure/environment«relative to abundance»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  influence the balance of other populations in the ecosystem\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  other species in the habitat would also disappear\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  many other species dependent on them for survival ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. both describe the habitat/role/relationship occupied by a species ✔\n </p>\n <p>\n  b. the fundamental niche is the potential role of a species in its ecosystem and realized niche is the actual role\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  the fundamental niche depends on the adaptations of a species whereas the realized niche is limited by competition/predation\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  realized niche is ‹usually› smaller than fundamental niche ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b4-2-12-fundamental-and-realized-niches",
+      "b4-2-ecological-niches",
+      "d4-2-5-role-of-keystone-species-in-the-stability-of-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Models are used as representations of the real world. Evaluate the use of food webs to represent ecological communities.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why some biologists think protecting keystone species would help preserve biological diversity in an ecosystem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages\n  </em>\n  :\n  <br/>\n  a. food webs summarize all possible food chains «in the community» ✔\n  <em>\n   OWTTE\n  </em>\n </p>\n <p>\n  b. realistic representation ✔\n </p>\n <p>\n  <em>\n   Limitations\n  </em>\n  :\n  <br/>\n  c. some communities/ecosystems are too complex to represent ✔\n </p>\n <p>\n  d. only shows qualitative information/not quantitative data\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  saprotrophs/abiotic factors not taken into account ✔\n </p>\n <p>\n  <em>\n   Needs one advantage and one limitation to obtain\n   <strong>\n    [2]\n   </strong>\n   .\n  </em>\n  <br/>\n  <em>\n   Do not accept mentions of trophic levels\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. «research demonstrates that keystone species» have a «disproportionately» large effect on their environment relative to abundance\n  <br/>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n  <br/>\n  «keystone species» maintain a balance in the «stable» numbers of each species within a community\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «keystone species» have a large impact in preserving and stabilizing the biodiversity by preventing overpopulation/monopoly/out competition ✔\n </p>\n <p>\n  b. a keystone species’ disappearance would start a domino effect/other species in the habitat would also disappear\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  their loss leads to an imbalance in the food web\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  their loss leads to a decrease in biodiversity ✔\n </p>\n <p>\n  <em>\n   Do not accept protecting keystone species prevents disappearance of other species since it repeats the question\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-2-4-construction-of-food-chains-and-food-webs-to-represent-feeding-relationships-in-a-community",
+      "c4-2-transfers-of-energy-and-matter",
+      "d4-2-5-role-of-keystone-species-in-the-stability-of-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the information provided for baleen whales and sea turtles.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how plastic ingestion may lead to biomagnification in these marine species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   State an example of an alien species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   Outline the impact of alien species on endemic species in ecosystems.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. both show cases of entanglement/ingestion ✔\n </p>\n <p>\n  b. sea turtles similar number of species affected by entanglement/ ingestion while baleen whales more species affected by entanglement than ingestion\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  higher percentage of sea turtles species affected by entanglement/ ingestion than baleen whales\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  higher number of species of «baleen» whales than species of sea turtles ✔\n </p>\n <p>\n  <em>\n   Do not accept answers quoting numerical values only\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. plastic broken down into microplastics to be able to enter the food chain ✔\n </p>\n <p>\n  b. plastic/microplastics become more concentrated at each trophic level ✔\n </p>\n <p>\n  <em>\n   Accept descriptions of biomagnification involving any of the species in the table\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  name of species and where it is invasive\n  <em>\n   e.g.\n  </em>\n  introduction of cane toads in Australia ✔\n </p>\n <p>\n  <em>\n   Accept common name of species but not general groups e.g. toads\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  a. ‹interspecific› competition with endemic/native species ✔\n  <em>\n   May be outlined using a specific example\n  </em>\n </p>\n <p>\n  b. may cause the extinction/reduction of endemic/native species\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reduces biodiversity\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  becomes invasive ✔\n </p>\n <p>\n  c. does not have endemic / natural predators so may increase in numbers ✔\n </p>\n <p>\n  d. upsets the balance between predators and prey\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  disrupts food chains ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a4-2-6-causes-of-the-current-biodiversity-crisis",
+      "a4-2-conservation-of-biodiversity",
+      "d4-2-9-biomagnification-of-pollutants-in-natural-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>A short base sequence of mRNA and a table of the genetic code are shown below.</p>\n<p>Sequence of mRNA</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: left;\">Table of the genetic code</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>The diagram shows a section of a polypeptide.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the function of codons.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the sequence of amino acids that could be translated from the sequence of mRNA.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the DNA base sequence transcribed to form this sequence of mRNA.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a hypothesis that accounts for the slightly different meaning of some codons in a very limited number of organisms.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Annotate the diagram to show a peptide bond between two amino acids.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction that removes water while linking amino acids together to form polypeptides.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the function of Rubisco and of spider silk in relation to their three-dimensional conformation.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«three bases on mRNA» coding for one amino acid «in a polypeptide» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>met-ser-arg-arg<br/><em><strong>OR</strong></em><br/>start-ser-arg-arg<br/><em><strong>OR</strong></em><br/>met-ser-arg-arg-stop<br/><em><strong>OR</strong></em><br/>start-ser-arg-arg-stop ✔</p>\n<p><em>Do not accept peptides containing an amino acid/leu for the last codon</em>.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>TAC TCG GCT TCC ATC GAC ✔</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>they occurred after the common origin of life <em>OWTTE</em><br/><em><strong>OR</strong></em><br/>the genetic code is not «in fact» universal ✔</p>\n<p><em>Look for alternatives</em>.<br/><br/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>any annotation between a C=O and the next NH ✔</p>\n<p><em>e.g.</em></p>\n<p><em><img src=\"data:image/png;base64,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\"/></em></p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>condensation ✔</p>\n<p><em>Do not accept anabolism alone</em>.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align: left;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAiAAAADACAYAAAA9Uti3AAAgAElEQVR4Ae19f4wdx33fc/BSOqBAIAYuwCuI1IVgNSBkGZWqADL4xzOuvRh24wQGrhFdk1UZpKqpSAJDk5BaAc+qa0qiRTlidSeGFGPFlEnobFaSJTo8+uRrItG8UHZdKUceVSiIbN6dLLq27ni0ZPH89C1mZ76zs7O737fv3Xt7u3cfAse37+38+M7nO9+Zz37nO7MVwj8gAASAABAAAkAACOSMQCXn+lAdEAACQAAIAAEgAAQIBASdAAgAASAABIAAEMgdARCQ3CFHhUAACAABIAAEgAAICPoAEAACQAAIAAEgkDsCICC5Q44KgQAQAAJAAAgAARAQ9AEgAASAQLcRWByhL19doUqlToMTC90uHeUBgRWBAAjIilAjGgEEgEChEAABKZQ6IEwxEQABKaZeIBUQAAJlRgAEpMzag+w5IQACkhPQqGY5ELhMM6cadP/Na6lSUe7wClU376WHz84thzCoc8UiMEvnn91EW2pOH/vhw1iCWbH6RsO6hQAISLeQRDkFQ2CRFiY2Ud0QDyYgwWftNmpceLdg8kKcciJwmaafvJFqSf0s+A0xIOXUK6TOAwEQkDxQRh35I9Aco0P9VapUatT3+VGabBJR82Ua21HTnpCdz9Ns/lKhxpWGwNwQ7Qo8H24/m6TTuzcYUgICstJUjvZ0DwEQkO5hiZKKhMBMg7YET6C3UmNmsUiSQZYVhEBzahsNJPUzS0xAQFaQutGULiMAAtJlQFFcMRBYnBikq5MmhmKIBylWCAK2n9XupqE55WYz/xCEykjgEwikIgACkgoNbpQaAesBGaRtU++UuikQvrgIhB4Qr5/BA1JcpUGywiAAAlIYVUCQriKQFANCszQ1fJ1emx84ROPOA2tX60ZhqweBpH7WRAzI6ukAaOlSEAABWQp6yFtgBIRdMJUB6j85TYgMKbD6SiMadsGURlUQtHAIgIAUTiUQqHsIJJ0Dsocap2ZAProHMkoinAOCTgAEOkEABKQT1JAHCAABIAAEgAAQWBICICBLgg+ZgQAQAAJAAAgAgU4QAAHpBDXkAQJAAAgAASAABJaEAAjIkuBDZiAABIAAEAACQKATBEBAOkENeYAAEAACQAAIAIElIQACsiT4kBkIAAEgAASAABDoBIEYAVFvC8W/YiEAnRRLH5Cm2AjAXoqtH0i3uhCQ7DHGNlRi/AED9AH0AfQB9AH0AfSBbvSBNMqVSEDSEuP35UFAdQD8AwJAIBsCsJdsOCEVEMgDAckeYzOblDgPYVFHHAHoJI4JfgECaQjAXtKQwe9AIH8EJHsEAclfH23XKCmw7cKQAQiscARgLytcwWheqRCQ7BEEpASqlBRYAvEhIhDIFQHYS65wozIgICIg2SMIiAhdMW5KCiyGhJACCBQHAdhLcXQBSYCAZI8gICXoH5ICSyA+RAQCuSIAe8kVblQGBEQEJHsEARGhK8ZNSYHFkBBSAIHiIAB7KY4uIAkQkOwRBKQE/UNSYAnEh4hAIFcEYC+5wo3KgICIgGSPICAidMW4KSmwGBJCCiBQHARgL8XRBSQBApI9goCUoH9ICiyB+BARCOSKAOwlV7hRGRAQEZDsEQREhK4YNyUFFkPCPKW4SC/d1ye8LuBq2jDy4zwFitd1aZxOPD5I1//3M/RLvjvToC3Baw5upcbMIv+Kzx4gsGrtxfS7LbXw+PDq5j10z9Pn6GIPcI4Uqeq+dwPV+FUeA4dovBlJUdAvi7QwuZ+euKtOmyYWjIy/pNknr9djzJZjNFlQycsilmSPICAl0KKkwBKI32URi05AQvnWPPASCEiXtZ+luNVoL83ph+mujdUUYl6jvs+P0mTPCMEizZ/sD8mHIiFXf5lGysCzF0foy1crwlanQRCQLObVdhrJHkFA2oYz/wySAvOXZrlrTJngl1ssW3/R5bOCrtiLVWcvzTE61K/JR3XzI3Rk+l2t24hX4gaqj/60Rzp3PAal8XwYKBIJSI9gWqXFSvYIAlKCTiEpsATid1nErBP8D+ib/34NVSrekowdcHgpxBk8t3ydTp1q0P03r9VPkrUttOnULEUe5JqTNHF4kEI397W04d5v0/gl9XjJdYYucPtklbYEE3ObD1B936gpz0Dn5L3n1DiNWFf3tbRh9ws9fLLtsupyKm512Yvjfag/RCMLnpujOUbD132Otn3tdLSfdK3fJfV51+Zm6dy37gptqlKjvu0HaWhyLuwN3L+v/gIdefYTVA+WcQZp29RP7XLrmgdO0t8/u8nYnSrjmzR+aZEWzj4Ull3fRXecnnHs1buvyq1tocHDExoLrpeXjaznZjFlCUYv1xy19lehSn0XbTs+5SxxtTmehCis2CvJHkFASqB2SYElEL/LIvaQgLgDkb1WA+E7pg0X6KUvrU90c1e3HqNXm0mDsXHt2sGOiQ8RLRyng0x2bH2GvLiTic3rEhu+rlHtwJQz6HYZ7hIWt7rsJas9OIrsYr9rJpJuJiCzNDV8XXRpxvbzT9LgxFtaqKT+XbubhubmLAFROo3+1ajvttucBwFzP8inSVjzQoO2OvEwYf5r6bqR16mZVG+wdJREQBSZuSNeXyBXjfrumzAkxCEgMZmVjO544uhkBV9K9ggCUgLFSwosgfhdFjEccMMBxRmcbNAYkwEeDI0YkgekMkD1o/ppJhy8wvzNqW00EAwqA9R/cjqY9MO1d3Zxh/LJMSDz9Or+q42nZSttO6ufCMPynEHNDpT85Nckap6hY1uMp8a2uctQl7S41WUvKf08VXe96HfOpOv0xdBerqUNj76iJ+jmyzS2o6b7PZNst3+bibx58SLNU2hLlRrbiPsQwOU2aWFik/GccCwHt9OxI8dmrG3a8YDzKeAS2hNZ5nqcxgKP52WaGWWPDRMqJ2+L8SRVRSvshmSPICAlULakwBKI32URnUEp6QnDDoApA7MdcNgT4QwYkfVrP7+TztaR1LRQPjvIqWR2kDX12gHN92A4LnUO5LN53aenrPIkybiyf1td9sL91O9HKTruSb9L6otMACpUidgVEc0N0a7AM+F7B93+reQPbam683maNU1anBikq5XtO94OsnbtEgmV4TLNvLCHHnzwHjpwpyE+lQrZ8hLzxdsTkilfxtfo+R3rAkKl7d3JG2k36yl8oEnR0Ir7WbJHEJASqFtSYAnE77KI4aAUmeBjtaQYvJ3MEwhIhFhwPTxg8PcKVSLp/IrDdBH5/HoTBz5dlh1gK0ZGP6+p0qYT5fHlW/nfV5e9pPS3NDX3pN85k67ti4JcVgZjW9y/XUIRyJ9chu33TNBVWlsmExBpyaRC1jZj+VRh8fYk1unJqMeFpOUblZDbwuNJkHlV/CfZIwhICbqApMASiN9lEdmQnUEksYZuExBnUIo82fiVp8jHgyyTio6eRJk06TrtoGgHfV+W1fl9ddmL4zHjJY2I2l+jk//hJhp8/KQObO5Jv3Nsw/bFDjwgLqEI2pBsS7bfu+l9IuG0s2/7o9TYd4omm5dsTEm7BKQjD4jFQjWG2wIC4nZPEBAXjYJer64BtZUS2JBbEZDQNaoCRF9WcWnu+jMTgYSnHS0B1xMOGOEgFMaAhIGk2gXetAONJ59PQMgZoO36NpEcAwIC0qp3qPurzl4WjtAecwZIZBtuc5JO7+bDwbh/9qLfJREQotBeOFbDs0EmTGwbLqEIFM02GLWlTATELvPogFO1ky20Lac8n7gE9Sa0xxKaClU3Z4wBAQEJ0JTsEQQkgKjY/0kKLLbkvZAueVCK13SZpp+8MR6B/9E61YP1Z57MEwaboDCuJyQgRG4AnBP4qtaj61+goeD8BWeAD2JU/HVurlftggknDqXjyB8PzkoWHqAtadKttQNxZKCLI7HaflmN9uJOrpF+ZPpVOGn2ot+l2ZBgLxUO2nT6dzcJiBNwGuJRow9c84FgTLAxIA6xCNIFMiQtoyw6ga6eraqtxUm7YCJ2mTSerA7LlOwRBKQEfUBSYAnE77KIbMjOU0xaDc1JOjNcN9Hx+vyBr/3wYXPyIROBtMGT63EJiHqMSjoHZIRGLpjDn4Inra/SXru91gy0KSSC2jyPwT3GHQQkWfGr1l5ifcmcU+GfAaJgi6WVz5+R+12aDamK2jkHxD89lW0wauu237uEJcGT0Zw+Qods4OkA1YdP08wF80oEG29ymWZevCXcXhsQ/3e7dA6Ie4w7t8UbT5K78Ir6VbJHEJASqFpSYAnEh4hAIFcEYC+5wo3KgICIgGSPICAidMW4KSmwGBJCCiBQHARgL8XRBSQBApI9goCUoH9ICiyB+BARCOSKAOwlV7hRGRAQEZDsEQREhK4YNyUFFkNCSAEEioMA7KU4uoAkQECyRxCQEvQPSYElEB8iAoFcEYC95Ao3KgMCIgKSPYKAiNAV46akwGJICCmAQHEQgL0URxeQBAhI9ggCUoL+ISmwBOJDRCCQKwKwl1zhRmVAQERAskcQEBG6YtyUFFgMCSEFECgOArCX4ugCkgAByR5BQErQPyQFlkB8iAgEckUA9pIr3KgMCIgISPYIAiJCV4ybkgKLISGkAALFQQD2UhxdQBIgINkjCEgJ+oekwBKIDxGBQK4IwF5yhRuVAQERAckeQUBE6IpxU1JgMSSEFECgOAjAXoqjC0gCBCR7BAEpQf+QFFgC8SEiEMgVAdhLrnCjMiAgIiDZYyIBURnwBwzQB9AH0AfQB9AH0AeW2gfSGEoqAUnLgN/zR0ApH/+AABDIhgDsJRtOSAUE8kBAssfYzCYlzkNY1BFHADqJY4JfgEAaArCXNGTwOxDIHwHJHkFA8tdH2zVKCmy7MGQAAiscAdjLClcwmlcqBCR7BAEpgSolBZZAfIgIBHJFAPaSK9yoDAiICEj2CAIiQleMm5ICiyEhpAACxUEA9lIcXUASICDZIwhICfqHpMASiA8RgUCuCMBecoUblQEBEQHJHkFAROiKcVNSYDEkhBRAoDgIwF6KowtIAgQkewQBKUH/kBRYAvEhIhDIFQHYS65wozIgICIg2SMIiAhdMW5KCiyGhJACCBQHAdhLcXQBSYCAZI8gICXoH5ICSyA+RAQCuSIAe8kVblQGBEQEJHsEARGhK8ZNSYHFkDBfKZpT26hWO0DjzW7VO0tTz32W+ofP0WI7RTbH6LGPraHagan28kl1XBqn47d9iu6YekdKpe81x+hA7ZO0LUva1qW1kWKeXt1/NVUGDnVRB21U3yIp7KUFQLgNBHJEQLJHEJAcFdFpVZICOy2zvPkWaX7092h9Nyf9uSHaWa22TyS6TkAWaf5kP9Uqg9lIxdwQ3b6+m0Qsa68AAcmKVDnTLdCbf/cVeuS/foY2PzlFc+VsBKQuCALS/AUCUhAlSWJICpTyrcx7r9F3brk+2wSdFYBSEpAeELGseNFKJyCdtK+TPCmAd53YptST+PMVmj/9Gfo3V6kXsN1ANzz5D5TBF5dYEn4EAgoBaf4CASlBH5EUqMRvTh+hQ3fWzBuMa9S3/SANTfJzS/hUfevxE066a2nDvd+m8UtqHYPTpLz1ceB/0Imv30jV6l00NOetewST94epPvqmeXr/Qxo8fJjuv3mtkWeA6sOn6cdvjdOJezdQLXjT8rW0YfcLNBkp6jLNfG877dxYDfPtGzXyOUqKPfV7+WpbaPC583TRZrlMM6cajjwVqtR30bbjUzrN3BDtqjntrt1t29i8MEIjVmaVZoDqrkzORHHlQoO2VhUOP7U164vX6Pkd66i683mapVmaOr7NaaOrq7gOdB6vOPs1CxFbIja2XwxQ/St/RlsCnG6g+ugFswRzH33tmU3m9wpVN++lh89yvzOCXhqn0X11qvMbtl3sVRImf8Mn6fRwmC6xLNt2+aKVvci51d1OyEQneVIkcfpVW0uCKcW18/N781+nL9d/nSqVq+j9f3KMvn/lvXayIy0QiCEg2SMISAyu4v0gKbAZTHzXOBP6LE0NX0fV6ueoceHdKLmo302Nc3qCaE4/THfdtIb67ptwJmu37ZdpZvQTVK98kgYn3jITxTV03cjrTryDnjQ1MbliCIia4LkeLqNCldoW2nRqlhZpkRbO3kGbq25Zl2n6SUVwNps0RLRwnA7evJaqW4/Ry5ao+E/9Ol9NEYOjilA0vbIXaWFiE210yyWWybRLNZknQXdZZ+EI3f+RdQ6uiuh5mDkTRZMM0YjIy2VrgqZl2UrbeJJuvkxjO2pOLAWTkAxLMDEi5upOXXcDG5ZHkYvHaexSk5o/eoFeuHRZE5CK+v0ROjKt+tksnT/aH/YXJQLr0Ka5TDMv3kKbq9Ww31kCyDpUjNrgUn+IRhas8v0Gpn6X7CU1U+RGJ2SikzyRSsMvTr/Kl4C8SX+/70N0lSKLH7qTGv8I30eoFFx1ioBkjyAgnaKaY750BepJLx4M6D51Nw0xUE+u7tN5Wl7VsJAkbHj0FUNQLtBLX1rvTJYqXYZ6kib35hgd6q8arwBP0gkxGNa7wnK/RmO3rw/b4ZcT6MRt108c74OjMH+Aj8noEit3AvQmmUg5muzUI/Ebbjm/yBC4yRN+KwKi060JvCpOu9zLrmDD8vh9x+BQu82QXK443h9CIsxpuEzTRkNAot4eLw1nzfiZbi+mgEueN+7ev6QDyoNovV+enoNsvvfK84ZZr4nkFeJ2+XiaPsv1R/qVlrmlN8704b7te623L4ppK/Deo8V//C90y28qT9+H6Jq/PE9vt8qC+0AgAwKSPYKAZABwuZOkKjBx8FbS8gShlhPYM+EPem4ad5JVT65H6AHlHfn8aGSZRO0+GXAn2AhBSBlcY5O7esJ1CUgaQfLT6e8H1u8Kl0gCeWoZgkdn6dyxL1Kj0aBDh241SyBOviQZA6Uv0sLk/iDfgw/eoycp9XTIuz/8icL/7hE05QGpV26g+tFxeqrxbHx5yS55tCIg83R++PqQiCV0UK0rp40JafRPEjYpOuX+xTjYst0+9UZA/ixWNg2Rls30x5Q+HEnj5M1ymWovKnPzDB3bstZ6dJTnRnkMg6VBJgCx9rFXMfTQNae/SnvVMqP10pi2i16hNDxbEJAs3jj2JNWMh615nsZ/8FYWuHSa987T2I4PBMuf7/v9/fTXb2PpJTt4SCkhINkjCIiEXEHupSqQBx1eX/c/gwG1TQISG6AdEPhe8OStiUN1417jJufB1Zs8kyb3RALixGF47eAnOTUprb99jGaNSK0nWe3J0bEL6on1CWo09tHQKydae2DM8kGlouI0Hg1ISOOpl+iM2n7KE1WMcPBSkomVCdr+cb2EFcisCc3R1JiIFAwdFQSXavutQ8T82+p7d7BJI4dmspUIyM//d4BxOgHR5KiZKwHR+Ma9Mh4B8AlIoEd3ydAg7vTtJufJ4BWqKRKa5I1M7Fcssx9/5ekgBcekvhH/7T26cu42+oMg8PSj9LGTbxLoRxwl/NIZAqnzlwpQ9YuUEvtp8T0fBFJ14gyA6WvFPKn5g577tMoeELPMEhtEuZ3uYPgGjW3/gON94Ho6JSBePq7Sfsaf+ltOskx0EuIyVOApE5t4DAhjk7zEkE5AeDkpDMqt9qeflRG61Vk3KRhaDPSFT8S828HX7mCzBAIyV0QPiCEaEnEKgqzdyZ0xSOif3L8CQv52yhIb9yXJG+kRoBixVSpt4Y3LSkCunKfvH7mDNt99jL576Vem68zQS7v/qfZ+/MEh+i4CT5NMCr91iEDq/AUC0iGiOWdLV6AeuKKBmko4N16DB1Ce5Fh4d2BUBISDFp3gTE7qfhp38HWPPEjbq592tsOmTJ5JJCkycPOknfCEaZaC1EFfzaSnfr+cQE7TLrVU9OKRxPM9gsBdkYCkTFTGAyQSEIN9deuf0/4/dQmaC6JzHcEnBUMnuVpea7X8EiTvCjZZ+w4LaPqj6yGzwdCcxmtjysSpCZTfZ7kM+bOVvcS9Mr4tmO8BUXnHBNymExBdnkknkps0b2QLApLFG5eCo4/Ur6a20ccDT4ezy+Un99F/DmI/4P3w8cL3pSOQbo/wgCwd3RxKkBSYtAsmuhuBB3x/MHcH3Sve7hGpUTzBO7EQQXKuxxuoIxOsKTc2OfLSRbjGTpfG6BsqMJDX2BN3ffCOlgHqPzkd7M5xd6rMmxiMSv0LNBTs1FA7WczavVqr5yBO54mzOX+RLjZ54g3LpeYknd5tthEnuspDzPTkqZaUXCwMbnaHkEqvd45sdCZpnVflu0zzF+edHUdcfpbttyptN7BhHFL6TrA89U0Ty8JxErz7KmkXDAc3x3fBWF2YZhaHgDAGri5ZSDeWqTcekFZLO5YMZyQgRJdo5rkBujFY5vwg/fa+v6Opw9cFO1/eB+8HGxk+u4iANH9hCaaLQPeqKEmB2jU7FAZIBkFwe6hxasZMXkwMUiaRYDI17nIv9kLVG/zxhGsaqEmPv2uF6/EG6kwERBXs7zJQ55SM0AhvJU49/dQ760JtyR0+bYNno2ekqG2je+iep0/QMXs2h6qbJ2uHNDQn6YxzLoXaRjz4+Ak6fbQenofiEJfIEhh7Svyn4eYkTRwetOdmKGyVPKGuVPCG2YKqsPfzK1ETiZhRTOxjqdjw5JvSdwakHR9GmAzngESWw0y23hAQ3Ufj59l4HgiO52D8gz6c4KFz+nZIFMJzZHRTXK8Qx+b4eHr1O/2Kt3fH+gL3MbbNzASEiN67QD/88tV6u+1VH6R//tvvo0rld+jDIz8iXoyNdSX8AAQ6RECav9okIMZQeGLyP2OHQGWTOHzqE/adx56as5W9ElJJClyO9il99TtP7cshQ6HrbI7RwY+u885MKbTEK0o40V7UxP3ZddS3PfTcaI+hOquGyYO7BKOgYe+O46HjZRH20DFpaeUV4nHMnKvCXrDgoDau3yEg6twcfTx/C29cOwRENenKd+mvBt9vDv1Tbd9JD/2/CI1eUX0CjVk+BCR77IyAsKFE2sQHEV3b9sCbiYBE6lpdXyQF5o6EekLfvj48SCp3AYpeofam9PXt6egQraK3rgzytbSX2DkgI/SNL31QICCq1b6HrpNzQFQ5ahnqIXtWR3C67vAYjQ0Lu6uyeOPaJSD0Hl35vztoUxD7cRWt/W/fo5+VQbmQsXQISPbYRQKicDEeEnZdZoQKBEQGSlKgnLObdzn2Q21L5afHbpZf/rJ0P3ZPgi1/m8rYgvbtRfdtPw6ljG1vT+YFevP/PEUjI6fpB3ZHTHslIDUQaIWAZI+9ISDWQ+KtbbKkHlvXA7f3DhF/OYddlxw4GHsicd+rwRV5a+B+mcHWNjd+IqkMLmv5PiUFLp9UqBkIFBOBdHvhGBDnOHwV/xMcD++e11LMdkEqIFBGBNLtse1dMCmEglExJCEMmEpJn0hAvPeFnGvQTvddJREC0jTv+HAGEg7es94X3lbK75hIeE+IeSeJfTGa3enQYisqtzenT0mBOYmAaoBAaRAQ7SVLIHBpWgpBgUDxEZDssXseEDt5uzEg7RAQN58ClZ9WzAmAEQKStuXNUUYkPf9u5AlIinlPiH9IVYfLSFxDLz4lBfaiPpQJBMqMAOylzNqD7CsNAckeOyMg/u4X8z22pZAnc7skY6BN9IB42zftcdJmy1qEUGgPiPReDb2sI7wLw9lCF439NrEOvszL2CskBS6jWKgaCBQSAdhLIdUCoVYpApI9dkZAIpMz736Jnr+gsW7HA9IOAVGly+/VaEVA0u9zsGVcnuXqP5ICl0sm1AsEiooA7KWomoFcqxEByR67QEAUpBxvcS2Fr29Xv/eSgERV6b9XI51gmHzwgEQBxDcgsEIQkAa8FdJENAMIlAYByR67REDcExzdAM6U5YzEJRj/dEApBiQFe4dUqHeHHOqvhsdtB1lc78aPgteFx9+j4saJpNST88+SAnMWBdUBgcIjAHspvIog4CpCQLLH7hEQBejCEdqzsRq+v8PGcTieEX7Hh/MuDu2tcM9P4HdGOMcfRwiFCUIV36vBx2uHJwi67wm5SOGuGLsLxpx4WKu4JGr5e4qkwOWXDhIAgWIhAHsplj4gzepGQLLH7hIQFZcxsYnq6jjiz4+a93HM0vlnN4Xvv6jvojteeJoOON4JTUDaPAck03Y67xwQ7z0h8feolPEcEI7BUe8xUUG3P6Bz+51TFbvW92dp6rnPUv/wOfOOmRTvVtfqSy5I9ZVa7QCNZ3hpRbAst69OwTHXQaC0er/MEzQ0ORctPPCcfZjqoz+N/m4JtPPiOieF7refpMHnDpF6n4kytPQ/5eGbDLxu6Wl0fn0gFr+HRSqzOHFKDizLfikNeMsuHAQAAqsMAcke2yQgqwy5gjRXUqCeBP0tzD0Q3Fneiu4a6kFdqUUu0nzqS+ncTOz9UoTj2+ZtrYpN8AvmQq9YkCuNgPALvxxvXViLXqqLL+GlvXAszGmvIl49+6u5KN5SoC9hUb9L9lJUmSEXEFipCEj2CAJSAq1LCtQExI+f6UGjCkFAsryKnr1wHsmwkOiA6ar7Mr3EtulyNlZ/lzb+bjX2Zlrr/Zh4y5asL7J7hkTdieTEqxJfIwhI9hJJiC9AAAj0HAHJHkFAeg7/0itIViAH1Dou+mB79C/oVbsEc8UsiXkeEhOrEz69X6aZUw3nBVkqHmcXbTs+RReV+CZoWMkR/MXq4fWQVi/s4qf6R+jZF7bTThUvpMqMHZGfglmWV9EvHKEH3BN0k4qKvG1Ut29ntUq1A1NmeUl5S87QsS1rqbrzazSyY51HQNK9H3bnlz2RN0kA9Ru/5TRlGSWRFKWVhd9dBJLtxU2BayAABPJCQLJHEJC8tLCEeiQFxp+i/SfwC/TSl9ZTpXYbNS68S0T+d37Sd141rt6PMfoJqrvBuLEJ0a8n/sry5vRXae/Na52gZENAIq8sT6grEassyy+8c+pzpq2JBRH53gX/uz2FV5VzQcdtOIQi3fuhiEvS7qskOXz83DQtyPPm75MAACAASURBVImbFNcxBCR7iSXGD0AACPQUAckeQUB6Cn13CpcU2JqAhLuTqltH6OwpFSTsekTM07x9yZ+RuaWXwJtAA4Li7FripjvEpSmcCxPzQHB++/kajd2+PjFQ1Cbh8h2yEN5zrnySkPD9sY+tob77Jmiey7SH70nejxRvilN1eGnIWKKsBlv2OCV9JuYLS1/NV5K9rGZc0HYgsBwISPYIArIcGmmzTkmBmQiI3Z2kllBqwcQaLK1E5Jilc8e+SI1Ggw4dutUsjzhH2TtEQgehugTkCs2f7KdaJWE5wZncfxabzI0ATprZiEzOl+YYHVi/i4bmeLnHuWcvpUndJop7KSL1/5Kmn7yRwhgRt51NEr0frZZVHBHUslY66crYDrc8XFsEJHuxiXABBIBALghI9ggCkosKllaJpMBsBCSMaai4yyqBWPrMlS3BNtIBqu97ghqNfTT0yonoQW6xCdOdmE3ciUBA9BuS9QsAK9abYHCJEIBkrFQ7198+RqkEJciWbeKOYebUP2diSMJ4ELedb6QcXscyu2klotRip4wjj9xerhefLgKSvbjpcA0EgEDvEZDsEQSk9/gvuQZJgbHJlJImQT4q/wa66aY1TkyGE7PgvxXYO602/sTu1tNrD8g8nR++vsXyi4LZyCQuT5gYmEgaJi6P0Ikjyvth3sAcaM6UWRmkW595gLZWP06DsZ0vrGIu51CLc0rkGI+4Trl8fGZBQLKXLPmRBggAge4hINkjCEj3cO5ZSZIC45OVSwz0U3jzQoO2VqvB0succ807XJKWAoI8NecALtED0gx2yuysdhgD0uqJP9Pyi4E/kDNBjuB2WsCrIQ71z9DNH1lH1428Hu6Gscsqdfr0p/so3DmUoO5W7bBZ4jqyt2x9CctZYSJcCQhI9iJkwy0gAAR6gIBkjyAgPQC820VKCmxJQPgwrfpDNLKgCAl7Q/i4eZ58v0BD02qXDJHdveIewOUEpTbnL9LFprvdV5Ub3wVDC8fpYNIumHaXYLJsv7WgM8lQy0mj4SFkl8bpxL0bqFp1d/twJoOBCva0OPE99lao+BnGjO9FP+O6iN6330SiIpETWwIuBAQkexGy4RYQAAI9QECyRxCQHgDe7SIlBcYnPXcCezsIqIy928YjJc3pI3Tozpo9Rry6eQ/d8/QJOrZjnfMyP57Y1USsns7fcs4b4XiHjOeAtEVAsmy/9RFfpIXJ/XT03g1UsztIFCH5nzQSbEX20zMBcXcHcZqQgIjej3Y8FzFvEtcVLokpnaf/OcHBTlZcagQkewFGQAAI5IuAZI8gIPnqoqPaJAV2VCAyAYEVjADsZQUrF00rHQKSPYKAlECdkgJLID5EBAK5IgB7yRVuVAYERAQkewQBEaErxk1JgcWQEFIAgeIgAHspji4gCRCQ7BEEpAT9Q1JgCcSHiEAgVwRgL7nCjcqAgIiAZI8gICJ0xbgpKbAYEkIKIFAcBGAvxdEFJAECkj2CgJSgf0gKLIH4EBEI5IoA7CVXuFEZEBARkOwRBESErhg3JQUWQ0JIAQSKgwDspTi6gCRAQLJHEJAS9A9JgSUQHyICgVwRgL3kCjcqAwIiApI9goCI0BXjpqTAYkgIKYBAcRCAvRRHF5AECEj2CAJSgv4hKbAE4kNEIJArArCXXOFGZUBARECyRxAQEbpi3JQUWAwJIQUQKA4CsJfi6AKSAAHJHkFAStA/JAWWQHyICARyRQD2kivcqAwIiAhI9ggCIkJXjJuSAoshIaQAAsVBAPZSHF1AEiAg2SMISAn6h6TAEogPEYFArgjAXnKFG5UBAREByR4TCYjKgD9ggD6APoA+gD6APoA+sNQ+kMZQEglIWmL8vjwIKOXjHxAAAtkQgL1kwwmpgEAeCEj2GJvZpMR5CIs64ghAJ3FM8AsQSEMA9pKGDH4HAvkjINkjCEj++mi7RkmBbReGDEBghSMAe1nhCkbzSoWAZI8gICVQpaTAEogPEYFArgjAXnKFG5UBAREByR5BQEToinFTUmAxJIQUQKA4CMBeiqMLSAIEJHsEASlB/5AUWALxISIQyBUB2EuucKMyICAiINkjCIgIXTFuSgoshoSQAggUBwHYS3F0AUmAgGSPICAl6B+SAksgPkQEArkiAHvJFW5UBgREBCR7BAERoSvGTUmBxZAQUgCB4iAAeymOLiAJEJDsEQSkBP1DUmAW8ZtT22igMkjbpt7JkrwnaXonwyItnH2IdvUfovFmF0S/NE7Hb/sU3dEGVrptN1B99KcZBJin8/v/BdUOTNFiy9Rdblvh6iOi5hg99rE1mfBQONdqB1rqWbaXRVo416CdG6v6tOeBQzQ5qeyD9TdPr+6/mioDXepPLTFfegLGZWIxO5ZLrzWhhOYYHeqvUnXn8zQb3J6lqec+S/3D5zL09YTyIj+9Rs/vWBfqJVZXJPESvpRP/0tobC5ZJXsEAclFBUurRFJglpJ7N/lnqV2n6Z0M3sCUXaSElIs0f7Kfam2SNd02nsASio389Bp955brM5LBbrYtIkTKl7zra4eALNL86O/R+gzETbQXnri2HqOXEwlr2SagEJdmG2QupQN09+e5IdpZrWYil60rzqtvlk3/rZFb7hSSPYKALLd2MtQvKTBDdurd5J+ldp2mdzJ0c2DKgYDMDdHt61s/xWvUutm2LLrKu752CEh24ibaCxMQ+5Tu41K2CcjBBQTEV2YH38um/w6amHMWyR5BQHJWRifVSQokukwzpxp0/81rwxcI1nfRtuNTdNFUpif/P6TBw4fDdLUtNPjceZuGaJEWJofowJ211HLiaWrUt/0gDU3OmZp4Ah+g+lf+jLbU1EuctGcgmwxJ6MzS1PFtocu84tZpJkz78kRV15vGixGXQZXenD5Ch2wb3bJY9vDFU6Er2c93LW2499s0fkk/Quu2qd8eDfGtRNPoloVPq3r5pVttm9Tu6drdNDTnPNbPDdGuWsVxiSsAJunMcJ3qBrPq5r308FmlPwlL37tj0nJ95km3b/te237GrnlhhEbu3UA1q6MBqu8btdhlXoJpg7il2YvWU6jfaN/kNvIEdB997ZlNpg9XKMRJaZL7SlIf8+3I7WNuXq5P9wyLP2OayR6JyMUliYBcGqfRfaG+K97YoPIHXorhk3Q6sV+wfHo50I4zavx4fHdgl6xrpUtegpkzfU/pIvgL2vVG5n4a7TeObfHSmFPXLDWt5/LW4ycc+06wweYkTRwetHqtRMYT1VbWf3mW4FhDRf1Ms0clLwhIUbXmyJWuwEVamNhEG6ubadOpWbPOeplmRj9B9conaXDiraAUO/DWtph0Zh38pjXUd9+EJiELR+j+j6yjDY++YkgJl8OxI2oAuoM2V6+hDbtfoEk1zzUn6fRuNblwXTwwqwH7cRq71KTmj16gF9RnEIdSoYokg9Nmfcnt20rbgklS1fkyje2ohWvBPHHywGQnhwQZLjRoqys/zdLU8HVUrX6OGhfedSYWbrOWohnkq1Lf9m/qiXPhOB28eS1VjRvftq1+NzXOaTLWnH6Y7nLxDYpynlbVBBPorhttm842sDfP0LEta6li5fTb73tAWJ8tJkuebGqmLc3zNP6Dt4i4T3F/CQigh0vSpJnQD7Iuv6is6faiBAgnSR2nQKZvchvNBFRR/ecROjKt+sUsnT/a79gU4+L3sXZshOvjxnqkjrFLtUeVzyO0PpbcT207LtPMi7fQ5mo1tHvWXWWA6kfNQwvbWP0hGlkwJJtth+UxZSuskwhIgC2TG7ts5rWRm+4T5YUj9ICyHbY3i38ltPuIHpmAVJy+rR4avL5GF+ilL6139OqMJ7atICCslm59SvYIAtItlHtYTroCtUHbAYBl8AYiPUFeS9eNvO4Eg+lBtFq9K3hq1mmiEy8Xpz9NXbG1czOoBASABwJ/cOVBXpYhWp/6lmUwcOtXeXhy8GXw03Ftpl2BS57ld3EwMtgnU7cOnU5j59eXILsakNdovHvStoiM+unY9YAkyulMEs1UMue3zWDJ9fkTSABttH8x2rF2e301TOdevUZjt6/PGOTbJQJSu82QUpYjqZ8k48LElHNa74ZoI1FMW9ujKt3DJYIl48/kmqVh+zB9XNBdGAtl2u7bvp83Qgp0/wu8K20REG2DPC6x1FEMfSLJdpusDxtQHPT1D8f6URTrBLsNhcBVBwikz1/wgHQAZ/5ZJAVqaWbp3LEvUqPRoEOHbjXLFTUb/BU1sFD+yIS0cIT2bFQR7CM0/s37nGUVk96ZqKK7N9wJ+opxhfoDARMQd2LX5UZkCEUzV9pLUFfLOEfH6anGs6Hr3qY1A3fMA+LJ4A+WNn+S/I6cZlC1g5jNF14kt8EtN1yqWX/7mNkh0MW2MXFgQsCiRdr8tt7dIQbYZsTSry9SD1fOn2pJYn/QNx988J5wiY/1FZk0OY/32RyjA+t3RZeXvCTuV9Fe/ElSzWWBd477S9oE5OozpZ8vyUaiBER5j0R7VA32cXGwjJPJEKFIe1N056eJEglTlo+l/z2Gh9dGFsmR4Wfct7h/cBr/YSRSVxoBcXXmLE1eUmNJI+iTR+3yFNt8mv6tILhoEwHJHuEBaRPM5UierkDt8tWxFmpt/QlqNPbR0Csn7FqscoXqwYQNLGxBZJBRP6stqJbAqLXbcL1epw1JTViKMdhgYrvcZQKiatETWDhQKDerG+OScdI0g5zCMvEvmLx5YnGwMgPd0gnIPJ0fvt57+upS23jQLhoBsW56FQfxaDDgN556ic6oba4sqzNpRolt2MNU3wuJW/h72lW6vfhPzrqEqB2kTUDuZMb9hEmLW06nNpIwOQv2qGqM4eJgqXbEqHiMpH7r2nLTmfx5SYrLtluTY0RCtze2nBUhBZ15QOZS5fb0EqkrKwHRS45BPJIaQx57jBqNZ+ns6VtLvQ3baKOwH5I9goAUVm2hYKkKZCNs4RrVA44zqZqiowNvWF9w5QRrqSUeFVSW+BTETyaRCTw6MKvyOpLBEykoxwY1ch3ZCUiy/G4lnns6qDB9IOecyTi6E1Yz/rTKmZ3PMPCuzbYVkoBw+5OXMrITkCTi5oCWcJlqLyot24yzCyaqP2+is+Vze1SgbzIBsQGddsmBM2fIm6ZDLsKzx1l6O05oXQLC5cU8CWyLpo8VjID00gOi9Zy8DFwr8Tkw3EWK+inZIwhIUbXmyJWqwBRSEARNOrsfogMsF8xrxByTwL+7n+7k/pMg0LGz9W1v0LNVZJHBJg4vnHbHXc1MIngS52y6LXH5dWCaflLkJymXrLmTR+jG1Zjqp90rERc+1xfNp9JneorvqG3RulgCNSG2jAGJPHFqHbtPzcl9x3ta9+rR9bt9x0pExIGwWT0g/jKDU1TaZaq9qAxZCQjLZysx/ScSK5S1j0WxyISprde9CMtRh47FlqUcArJoYqHCAGsuh+3D9PFE3fn26rady4nHGMWwdfqy9m5l6afaBrsTA+LWx6TRtW3Vlss0/eSNBALi6LXLl5I9goB0GexeFJeuQDMg1b9AQ0G0vor8/irtNVtyOThVD3huhHgYrc+BqTqNEwmvlj7ONWjHR9aZ4NUwj90FY3aRxHfB+AMzD2iyDHHszABid22oFHpHwka7c8WkCZ703qGLF3+ZvgzEkfx2V4a/u4HlVIPUZZq/OB8E7dpo+s+Pmt0/ZieOiZxPnlC8wS92iFaX2xaQoGvDXUyXxugbZrsx9wO7g8j2F97pxLuYfCwXwwnb7Gpi/INtvDxJJ05iPNENUP/JaR38bHdNqd1QZstwZNKM94DINtOE20k/pdtLGwQk2J5pdj2l7pby+3kWG3FkEDBtZY9q6SR2noyPZWwXDMsX3wVj+4gB1O/TeidYf7hTJrF/eTuMHHma8xfponIEZuqnercW76SL9Dn26ESIJD84+PpwbbAZbFlWXtA+tmN1hMGLt5B7XEAsSDqpg+G3thCQ7BEEpC0olyexpMDouRZqW+AeuufpE3Rsxzq7PU4bfatzQBLOE1F7/Q9P6Ek3aHqnZxzwwNNKhgR8HdezwkH9qTY2Ts3YHT0BQQiO1lYeibP0VnCaqT8YqbJ9+eNl2Ula1cWDnZozYueHPE4jwdZdbptfnzv4vZF8+mlX2zZL558Nz61QcTJ3vPA0HYgcja0aEj0HJEh3Og1LdVy8mrQesud7BHFBw2M0NuzEcSQSkIS6grMjTtDpo3WyT7jOJBWPAfG2mSZ0j6SfJHuJPaUrMSMeLCZhWc4B8XWe1Mf8c0BMmlaYJp3vY+2xmXwqbBKWGc4Bcb1kjGcUkwSZlSzfepz2uP0rQgpUHia4ym7Z85Cxn14apxP2/BiF4eP0jS99MLTJSF0ZCYiS53vbnTOF1DkhT9DTf3sP7azy7hjWP84B4b6w1E/JHkFAlopuDvklBeZQPaoAAqVCAPaSk7qaY3TwX33AC6zOqW5UUxoEJHsEASmBGiUFlkB8iAgEckUA9tJtuE0MiF0y0t4tdQhhdeNee1hZt2tFeSsDAckeOyAgZuugdY8p95rZZvfUOedo72zgxV19CfliwUwJaXr5U8Tdxy5bdim6rvYwSLGb4kgK7GY9KAsIrAQEYC/d12K4Q4u3savlixG7DNn9GlHiSkFAsse2CYgORnKO4w5Q0ut6wTHdfFRvN9FbbgLitUWTJhAQDxZ8BQKFQEAa8AohIIQAAqsIAcke2yQg4Taw8djDfg89ASAgq6i7oqlAYGkISAPe0kpGbiAABNpFQLLH9giIWYpwdwekC8Nk5RH667/lrU76FMs73Kj7SAS6Ks3bjaGirQ8OBi9QqrkH/CRE87tvgOVDgZLe0BmT2Y8Ud04ADdK2uwQT2/4Wq7GtHyQFtlUQEgOBVYAA7GUVKBlNLA0Ckj22R0DsoS1mu+eDzyW8m4NxMQREfKskx1PwdjZ+P4ZzHoXdb+4ccWwOMwrfVsn7268JX7hmtgZW/Dd0snj2k9+QqN/eqn7mcx8s4WmHgFjyEZZnq+rwQlJgh0UiGxBYsQjAXlasatGwEiIg2WObBES13tvHHZzNoN4ZctR7gZkhIOJbJX0CovP4h+KwN0MTAj7giGMwWCP6d3u+QNrZBJycP5P2zvM9/sxKQH58Wr+m3Y0W5zKW8CkpcAnFIisQWJEIwF5WpFrRqJIiINljBwSEUbhMMy/soUce2ekcUuScxJj6LoJorEhkF0xarIdDEuzR23ySIovjHyiUlYCQOYq7tosaf/MUNZJ28mQiIJ+hO7fVnAN3HMGWeCkpcIlFIzsQWHEIwF5WnErRoBIjINnjEgiIh4hdKmHPBMeA+CfKGQJiTsZzCYi+dpZauIokAmJOxVSNi/6Z5ZzMBERVMkvnnmqErwoPthUfDD06WQiIkqN+G+24eS3F3zfCDensU1JgZyUiFxBYuQjAXlaubtGy8iEg2WNbBMQlC0kwuATCeiqc46x1ni55QGLlehK1RUDcvE4QLHtZshAQk1Zj4L9x0S2//WtJge2XhhxAYGUjAHtZ2fpF68qFgGSPbRGQpPcouFDoydfzgPAkbhNG4zyipCZ6z2aJLM1wrMfnqGHexaHTcQCrqb9jAqJK8+JM2iAgZJd0zMu2bCM6v5AU2HmpyAkEViYCsJeVqVe0qpwISPbYHgEJXkx1BwUHjkVOwTMv+blpDfXdN2FOQzVLMOJbJf0gVCJ70BkfaGaXdpylmaRdMOcatNOtPysBMcs7fdv5zZdEZOq0SyltERAiWjhCD7iyLLHfSAqMFq3icu5zlpLUW0e30ODjJ73dSkzi7qKhOf9AF14i451Jbg3mXv0h+psfPxy86l3Jlv53A9WfOJgt3ehPiThuSCqzlefLFRfXqxKB7PayKuFBo4FArghI9tgmAdFyB8fy7qtT8EpuM1not7C6R7EbAlLfRXseHzSvPFbbd/fSw2fnLABRD4j6OeHtm0/8FT3wsTVkt8WqZP7ZHfZNkaborAREBa9eGKGRyNHy3jHD7RIQu12ZX3Num9vRhaRAW2DTvCJe4fDceXskvn2Lq30Fu8qRTkACAlhTpCKBgASeKGers608TiSdW5HLuL6d2xFPl/M7LoFAGwhkspc2ykNSILC6EHiPrrzxLXrqK39M/27HMRp/+70lNV+yx44ISDZpDAHBE2s2uIRUkgJ1NrOTJ0IynALZY7T1GL0cODy8JSab1JyJsnEjfbTieJyC+6H3Y2QhxWsSW26zBZuLaPyPf1ckJ35ifAcCKQi0thf11DFGB2qfpG1T75Dud7x0LPfRlCrz+9mRO79KU2ryHsxSUkV/djYULEbvLPmb/yDpP+wuqYIeyq0epo/f9im6Y+qdJYkYZO7CQ9x781+nL9d/nSqVq+j9f3KMvn8FBGTpiilxCfKAyrEvsrclOsgmExC9/PVhqj/xF7SzWo16nATvh106aUk2JVKaLFOJ1QbRlwkB2V6MUHNDdPv6A6ReKRG1jWUSOmu1jtxZsxQqXa8m8oUjdP9H1tGG3S/QZPB8NEvnj/bTxqofK9ghGr2S24837FA8m23JBOR1OrP7n9FVamXjQ3dS4x+XTooke4QHxGquuBeSAnnyt/EqKc3wvQv+d7ecH/98yCMgkvdDP00e6q9S7AA5XxbxiUkiJ35B+A4E0hGQ7UXlW6T50d+j9ebVDuUhIFG50xEo8J2eTORpS8qv0dj2D0QfpDqFpidym754sp9q5liKTsWz+ZZEQJr0zsv/iT51lV6Cv+HJf6Cl0w8KYgStfN5FDwmIVxO+doyAOKBm7HA+4Uj+brwofvyM6P0gip5UKzRTktWQE9XW5D9/SUioB7dWNQKivQTIvEbfueX6YPlFfY0SEG8Jhvvs8Ek6PRzGvSW59228VdCHa9S33TlLyGjEXyao+O+dMvUlv8MqKrcukg9SvI0aF96hhYlNVDfLp7+iX9F8MLn9IQ0ePuwcGDlA9eHT9OO3xumEjX271vEe6JJbyhp5oGiaugbp1uMn6NCd6lBGZcsqnu7bYRC8M5FfudCgrdUPUz0IQDcABR/6YUQ90Mw1X6VjW9ZSpf4QjSy8Q9NP3ki1iu/t9XRmi8pCQELP663Hn6G9N681cmuMtDdFP2Q95schtnofmZKjOUkTh8MYyErkjCmuOxzzwoc4s7FjYzWUZ99oiGPQRufICIV12nvTLB4tLq68SEc/+xtBfb/2R0/Qi1dapM94W7JHEJCMIC5nMkmBWSf/ZMJhAk39GJHIwPI2vbr/ajMA+LEfChU2Il5DT0OqRToe6N0XDqYVhd+BgICAaC8qn7eM0YqA7AqCsp33U3HAdzApapuwu/ecJYCp4euo6i4BxJYJwvdO2d2DhvwnvsPKkzsI2DeEQ+W/ZOy4YmOx2ObUIYl3U+OcCv6/TDOjn9AbCGpbaNOpWVp0djdeN/I6BbEZWWSNjBNMQNy6EtrnEBA+KyrmvQ3GAiYm3Ab9ANJcOEJ71KTsYE+UQEAMOejru4eGpt8VeguXrydwi4e/q9KRO8CHx8zNj9CRoPyE95GZIxnCd5YpQmI2C1j5uX53/LwcEK1qdbPRj9pZeVy/5sOJ49Nk0+mXSTtGhZZHb71LPxsdoN9RROaqP6I/fuVS9PYSvkn2CAKyBGDzyiopMBsBiRtoSEjeNE9NjgE4A8tcMBgk73zR7Y+XnYyLnC6UR23HxT8g0DkCor0Ywrxm5/M0a6rIQkDCJ1OVyZ800pYPwyf5WdITtH1XlW2esQuOn/K9jzadrtOVm89lqgTv21ow3gHXU8hyejvaksi+Y/OZZU3IU4vtnvOwiUzkHL/mjD0G2whOph6/nZa0RQjIG/T8jnXGa+B7SiyYzgVj5B8eqX+3cnhya8+SK7cq0ssTIVJhldH+xvU7ZSXpR2WPlOf2rbDsbPOBk54vr4zSwX/7T4LA09/YOUav8+9d+JTsEQSkCwD3ughJgWoQirkGfYHMuSSRbczcyYefoZEta6PxG2zwA4/QiSM3UnXjXorvfOFKvAGGf459SulkchIrCj8AAQEB0V5ons4PXx9x+0cnBK8vphCCCGFOSZP4ZK68DZP7qdFo0IMP3hOe2dOSgPhy66fkmnLp3zdBc2o5Q3lqrPdDAcSTW7sEhMFtIWsmAuLh6Y9X/ndzFlAy4asEr7n40ZzxgtgXnXp1BOJfppkXbwnOrLJeHW5W5JMxcgiAuR/RsSMne26iWOtMkTxcz6VxeqrRCHR+1B5fwfX59fN3T2eqLAdv/WDobRQwaeT5YIHePLOHdm/+It1/do70/pYm/WLij+imwPvxGdo2dZkl78qnZI8gIF2BuLeFSArkQSbi6nXFibn8zE1DQPo+/amESHFDFuqfoZs/so5EA3aMgp8o3erttZhOIie2BFwAgUwIiPaitrGu3xU5gK9bBETVm/jHpMC40XUcwKPBhNR46iU6o5Y4OU0amYnJzQSkEjw8/FwkIDzZGfj44cNd7vTtM4uskTy8BONPnB45cCZyvQ2XlxvMoYiBbB+nwYm3HF3zpOwREBsL4tVhc7pl/0IvJUd0NEg7py7b2BW1Jdv9p/uFWfpx5LYEJFKWq3vGYJbUMlxNpavvom2PPUaNxrN09vStNGA9Rdw21hF/d8uLXity9vOpbTQQOyohJVbFbdSvvkOP/Wu1xdbZ5fLey/StP1GxL1dRt70fqmrJHkFAXOUU9FpSYCCyJRm7aNvxKXMIWXigW2QNkttoBrpgMLSn1/JNQwgCw1HBX0mxHzptIuPnYpxPMV1kIHMy4RIIdICAZC+qH66/fcwuv6jidd/kCcCbzFIIQaQ/J03oMbm5XBUs6sYkGFtrQUCS5CaO+Qh2UMwJSzDcNiNUkrwRGzRxX9bDwI3xZI3k6ZSAuEsLbwZkoNrvvcDU1JNtCSY6VkX0xM2IfPKE72Fk+4UhE0kEhL1WkfLCL7ru5KWdcKnKr9//HpYXuUrSoUrgyJl8zsp7H8e1CAAABVRJREFUdGX6Qdp1w68FxOB9v7+ffnh2F21SO1+u6r73Q4kk2SMISESrxfwiKTCUeJbOfesuJ9LdsO6vnTb74sOUwRUTkNggo+4yAfGNxyvDunjjxhtNKRuVNtQoy1dtjv61qiNaI76tXgTS7cVfxtAY6f7H/YuJgnmXUxYCwssGNkCQsTc7VIKJ6ic6NsGftJhEiAQkWW7l/eRdL3IQKrfNyJU0eTlk4mds/61kdfJw3Eg4sTIGHp6JE6Q5AHHrn9P+P/W3zUbbuCAFoca2supxx8ZxsEiRTx6b2GvBN728Ebn5nn/GCMuq8E7zrLDniuvj+h0dBfpJiLtzltLZCxNdqmIyl7A0w80KPq/Qpe//R7Pd9jfpt35Le0R+7ZZj9MrSzhyL1MJf0u2RCASEUSrwp6TAAosN0YDAsiCQbi9J21i74AFRD57BltJrnK2s+iCsul0m4IlmgPpPTuudJs1JOr17g3bRiwQkWW4NrrsN913jzdHLBuE2XGdyU5laEJCQTLSQtWsEhHWgHjo8WZmgBbtGGEM/uNSQnEr0VR/N6Yfprpbv5OIy3d07CTtaIgREKfxMsD049C4v0oK/c8bg3Pf5UfMQqONStnivuggJ8GWavzhPTfMqj8guGN7hYnfPOH1Oem9aqgX+nF77yw/Tb9oHvX9JHz3+hokJSc3U0Y10ewQB6QjQvDNJCsxbFtQHBIqOQKq9xLax6paEE4CKAfCe2DN5QFQ5KmBzKAwqDSbDPdQ4NaPJhkrinxsRvCjyBJ0+Wif7lJ5UX4rcrfXAk6s3qbckIBll7SIB4Qm94ntdWjfS0dmdtO2Z/Y4X2DvLI7EsxmiA6vv+IszrvVMrcWmj1fvI1Jbn722nnfYsD3UmyhP09N/eQzvd8094CV2RAdv+WZo6vs3LO0IjkeW7cJld9fngTJmk96YltpuIrnyX/mrw/drTfO1uOvyLHrg/sASThn55fk8dUMvTBEgKBHJDAPaSG9Tdq6g5Rgc/2iLgPbU2jzSmpku6wQTEI2lJSVfcb+/R4k/+Fz0z8gx96x8u9cT7oSCT7BFLMCXoVJICSyA+RAQCuSIAe8kV7i5Upg9H6+vbIwa8p1cEApKOzfLfkewRBGT59dNSAkmBLTMjARBYZQjAXsqjcBuAbk9q7UR2EJBOUMsrj2SPICB5aWEJ9UgKXEKxyAoEViQCsJcVqVY0qqQISPYIAlICpUoKLIH4EBEI5IoA7CVXuFEZEBARkOwRBESErhg3JQUWQ0JIAQSKgwDspTi6gCRAQLJHEJAS9A9JgSUQHyICgVwRgL3kCjcqAwIiApI9goCI0BXjpqTAYkgIKYBAcRCAvRRHF5AECEj2CAJSgv4hKbAE4kNEIJArArCXXOFGZUBARECyRxAQEbpi3JQUWAwJIQUQKA4CsJfi6AKSAAHJHkFAStA/JAWWQHyICARyRQD2kivcqAwIiAhI9ggCIkJXjJuSAoshIaQAAsVBAPZSHF1AEiAg2SMISAn6h6TAEogPEYFArgjAXnKFG5UBAREByR5BQEToinFTUmAxJIQUQKA4CMBeiqMLSAIEJHsEASlB/5AUWALxISIQyBUB2EuucKMyICAiINljIgFRGfAHDNAH0AfQB9AH0AfQB5baB9IYSoyApCXE70AACAABIAAEgAAQ6BYCICDdQhLlAAEgAASAABAAApkRAAHJDBUSAgEgAASAABAAAt1CAASkW0iiHCAABIAAEAACQCAzAiAgmaFCQiAABIAAEAACQKBbCICAdAtJlAMEgAAQAAJAAAhkRgAEJDNUSAgEgAAQAAJAAAh0C4H/Dx1cf/PAsse2AAAAAElFTkSuQmCC\"/></p>\n<p><em>Award <strong>[1]</strong> per correct row or correct column</em>.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-proteins",
+      "d1-2-10-stepwise-movement-of-the-ribosome-along-mrna-and-linkage-of-amino-acids-by-peptide-bonding-to-the-growing-polypeptide-chain",
+      "d1-2-11-mutations-that-change-protein-structure",
+      "d1-2-7-complementary-base-pairing-between-trna-and-mrna",
+      "d1-2-8-features-of-the-genetic-code",
+      "d1-2-9-using-the-genetic-code-expressed-as-a-table-of-mrna-codons",
+      "d1-2-protein-synthesis"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the cell theory.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> functions of life.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>List <strong>three</strong> characteristics of eukaryotic homologous chromosomes.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the following table, compare and contrast anaerobic cell respiration in yeasts and in humans. The first row has been completed as an example.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cells can only arise from preexisting cells ✔</p>\n<p>b. living organisms are composed of cells/smallest unit of life ✔</p>\n<p>c. organisms consisting of only one cell carry out all functions of life in that cell/cells perform life functions «at some point in their existence» ✔</p>\n<p>d. although most organisms conform to cell theory, there are exceptions ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. nutrition ✔</p>\n<p>b. metabolism/respiration ✔</p>\n<p>c. growth ✔</p>\n<p>d. response/irritability ✔</p>\n<p>e. excretion ✔</p>\n<p>f. homeostasis ✔</p>\n<p>g. reproduction ✔</p>\n<p><em>Do not allow “feeding”, plants do not “feed”</em>.</p>\n<p><em>Mark the first two answers only</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. linear DNA molecules<br/><em><strong>OR</strong></em><br/>DNA associated with histone «proteins» ✔</p>\n<p>b. carry the same sequence of <span style=\"text-decoration: underline;\">genes</span> ✔</p>\n<p>c. «but» not necessarily the same <span style=\"text-decoration: underline;\">alleles</span> «of those genes» ✔</p>\n<p>d. both are present when nucleus is in diploid state ✔<br/><em><strong>OR</strong></em><br/>occur in pairs ✔</p>\n<p>e. have <span style=\"text-decoration: underline;\">same</span> size/length/banding patterns ✔</p>\n<p>f. centromeres are in the same position ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Award <strong>[1]</strong> per correct row</em>.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-1-cells-as-the-basic-structural-unit-of-all-living-organisms",
+      "a2-2-7-processes-of-life-in-unicellular-organisms",
+      "a2-2-cell-structure",
+      "a3-1-6-diversity-in-chromosome-numbers-of-plant-and-animal-species",
+      "a3-1-diversity-of-organisms",
+      "a4-1-1-evolution-as-change-in-the-heritable-characteristics-of-a-population",
+      "a4-1-evolution-and-speciation",
+      "c1-2-10-anaerobic-cell-respiration-in-yeast-and-its-use-in-brewing-and-baking",
+      "c1-2-5-differences-between-anaerobic-and-aerobic-cell-respiration-in-humans",
+      "c1-2-cell-respiration"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the immediate consequence of a species producing more offspring than the environment can support.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the consequence of overpopulation on the survival and reproduction of better adapted individuals within a population.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>competition/lack of resources/death/exceeding carrying capacity ✔</p>\n<p><em>Allow a description of it.</em><br/><em>Do not allow “overpopulation” or “natural selection”</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «better adapted» tend to survive more ✔</p>\n<p>b. «better adapted» reproduce/produce more offspring ✔</p>\n<p>c. pass on characteristics to their offspring «when they reproduce» ✔</p>\n<p>d. their frequency increases «within the population» due to natural selection ✔</p>\n<p>e. leading to evolution ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "c1-3-2-conversion-of-carbon-dioxide-to-glucose-in-photosynthesis-using-hydrogen-obtained-by-splitting-water",
+      "c1-3-photosynthesis",
+      "d4-1-3-overproduction-of-offspring-and-competition-for-resources-as-factors-that-promote-natural-selection",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.5",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a section of the Singer-Nicolson model of an animal cell membrane.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the principles used by scientists to classify organisms.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the movement of energy and inorganic nutrients in an ecosystem.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. bilayer of phospholipids with both “tails” towards the inside «of the bilayer» ✔ <em>This can be taken unlabeled from diagram</em>.</p>\n<p>b. hydrophilic/polar <strong>and</strong> hydrophobic/non-polar annotation ✔</p>\n<p>c. cholesterol between phospholipid tails ✔</p>\n<p>d. glycoprotein ✔</p>\n<p>e. integral proteins/channel proteins ✔</p>\n<p>f. peripheral proteins ✔ <em>Allow this if it does not extend across the membrane</em></p>\n<p><em>Elements should be clearly drawn, correctly positioned and annotated.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. use of the binomial system ✔</p>\n<p>b. agreed/developed by scientists / <em>OWTTE</em> ✔</p>\n<p>c. hierarchy of taxa used ✔ <em>Names of the seven taxa not required</em>. </p>\n<p>d. three domains used/three domain names ✔ <em>OWTTE</em></p>\n<p>e. genome/DNA sequence similarities<br/><em><strong>OR</strong></em><br/>amino acid sequence of specific proteins ✔</p>\n<p>f. species from a common ancestor are grouped together<br/><em><strong>OR</strong></em><br/>included in the same clade/branch in cladogram ✔</p>\n<p>g. use evidence of evolutionary origin ✔ Allow example <em>e.g.</em> fossil record comparison</p>\n<p>h. shared characteristics within a group<br/><em><strong>OR</strong></em><br/>similar embryonic development ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. autotrophs/producers/plants obtain inorganic nutrients from the «abiotic» environment ✔</p>\n<p>b. energy provided «mainly» by sunlight ✔</p>\n<p>c. light energy converted «to chemical energy» through photosynthesis ✔</p>\n<p>d. photosynthesis/producers/autotrophs convert inorganic carbon/carbon dioxide and water into carbon/organic compounds ✔</p>\n<p>e. «these» carbon compounds/foods contain/are a source of «useable» energy «for life» ✔</p>\n<p>f. carbon compounds/energy are transferred along food chains when eaten by consumers/heterotrophs ✔ <em>Allow OWTTE for mpf for passed up trophic levels</em>.</p>\n<p>g. respiration returns carbon «dioxide» to the environment ✔</p>\n<p>h. respiration releases stored/chemical energy as ATP/heat ✔</p>\n<p>i. energy/ATP is used to carry out life functions/synthesis/growth/movement ✔</p>\n<p>j. energy is lost/not recycled ✔</p>\n<p>k. nutrients are recycled / example of recycled nutrient <em>e.g.</em> carbon ✔</p>\n<p>l. decomposers recycle minerals/inorganic nutrients ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-2-1-need-for-classification-of-organisms",
+      "a3-2-2-difficulties-classifying-organisms-into-the-traditional-hierarchy-of-taxa",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "d4-2-2-requirements-for-stability-in-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how cuts in the skin are sealed to prevent blood loss.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how two parents could have a child with any of the four ABO blood groups.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how ventilation and lung structure contribute to passive gas exchange.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. platelets respond to/detect skin/blood vessel damage ✔</p>\n<p>b. platelets release clotting factors ✔</p>\n<p>c. clotting factors trigger a chain/cascade of reactions ✔</p>\n<p>d. «leading to» formation of thrombin ✔</p>\n<p>e. thrombin causes fibrinogen conversion into fibrin ✔</p>\n<p>f. blood clot seals the wound due to fibrin network of fibres ✔</p>\n<p><em>Accept answers presented as a flow chart</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. «first set of» gametes/parental genotype I<sup>A</sup>, i ✔</p>\n<p>b. «other set of» gametes/parental genotype I<sup>B</sup>, i ✔</p>\n<p>c. «genotypes of offspring are respectively» I<sup>A</sup>I<sup>B</sup>, I<sup>B</sup>i, I<sup>A</sup>i, ii ✔ <em>All four correct required</em>.</p>\n<p>d. «phenotypes of offspring are respectively» AB, B, A, O ✔ <em>All four correct required linked to genotypes</em></p>\n<p><em>Award marks only for the first grid if more than one drawn;</em><br/><em>e.g. of Punnett grid</em></p>\n<p><em><img src=\"data:image/png;base64,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\"/></em></p>\n<p><em>Answers can be given in a Punnett grid or in prose</em>.</p>\n<p><em>Accept the four possible blood groups of the offspring anywhere in the answer</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. air carried through trachea <em><strong>AND</strong></em> bronchi/bronchioles <em><strong>AND</strong></em> alveoli ✔ <em>All three required in correct order.</em></p>\n<p>b. alveoli increase the surface area/thin walled for gas exchange ✔</p>\n<p>c. gas exchange carried out through type I pneumocytes ✔</p>\n<p>d. type II pneumocytes secrete surfactant to reduce surface tension ✔</p>\n<p>e. moist surface/surfactant allows gases to diffuse in solution ✔</p>\n<p>f. ventilation/moving blood maintains concentration gradients of oxygen and carbon dioxide ✔</p>\n<p>g. between air in alveoli and blood in «adjacent» capillaries<br/><em><strong>OR</strong></em><br/>oxygen diffuses from alveoli to capillaries and carbon dioxide from capillaries to alveoli ✔ <em>OWTTE</em></p>\n<p>h. <span style=\"text-decoration: underline;\">external</span> intercostal muscles/<span style=\"text-decoration: underline;\">diaphragm</span> contract during inspiration ✔</p>\n<p>i. lowering air pressure «in lungs»/increasing thorax volume ✔</p>\n<p>j. relaxation of external intercostal muscles/diaphragm enable «passive» expiration ✔</p>\n<p>k. <span style=\"text-decoration: underline;\">internal</span> intercostal «and abdominal muscles» contract «to force» expiration ✔</p>\n<p>l. expiration due to increasing air pressure «in lungs»/decreasing thorax volume ✔</p>\n<p><em>Accept correctly annotated diagram</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-1-4-adaptations-of-mammalian-lungs-for-gas-exchange",
+      "b3-1-gas-exchange",
+      "c3-2-3-sealing-of-cuts-in-skin-by-blood-clotting",
+      "c3-2-defence-against-disease",
+      "d3-2-9-abo-blood-groups-as-an-example-of-multiple-alleles",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how two parents could have a child with any of the four ABO blood groups.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the control mechanism of the heart rate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. I\n  <sup>\n   A\n  </sup>\n  , i for one set of gametes/parental genotype ✔\n </p>\n <p>\n  b. I\n  <sup>\n   B\n  </sup>\n  , i for the other set of gametes/parental genotype ✔\n </p>\n <p>\n  c. «genotypes of offspring are» I\n  <sup>\n   A\n  </sup>\n  I\n  <sup>\n   B\n  </sup>\n  , I\n  <sup>\n   A\n  </sup>\n  i, I\n  <sup>\n   B\n  </sup>\n  i, ii ✔\n </p>\n <p>\n  d. «phenotypes of offspring are» AB, A, B, O ✔\n </p>\n <p>\n  <em>\n   Answers can be given in a Punnett grid or in prose.\n  </em>\n </p>\n <p>\n  <em>\n   Accept the four possible blood groups of the offspring anywhere in the answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a.\n  <span style=\"text-decoration:underline;\">\n   sinoatrial node/SAN\n  </span>\n  is a specialized group of muscle cells\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  <span style=\"text-decoration:underline;\">\n   sinoatrial node/SAN\n  </span>\n  is located in the right atrium ✔\n </p>\n <p>\n  b. acts as a pacemaker/controls the heart rate\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  initiates/generates the heart beat/starts the cardiac cycle ✔\n </p>\n <p>\n  c. sends out electrical signal/impulses/depolarisations ✔\n </p>\n <p>\n  d. electrical signal stimulates contraction «of heart muscle» ✔\n </p>\n <p>\n  e. signal passes through walls of atria/passes to AV node ✔\n </p>\n <p>\n  f. then through walls of the ventricles ✔\n </p>\n <p>\n  g. medulla «oblongata of brain» can change/increase/decrease the rate ✔\n </p>\n <p>\n  h. through nerves/named example of nerve/autonomic/sympathetic/ parasympathetic nervous system ✔\n  <em>\n   In mph, only accept vagus nerve for slowing heart rate and sympathetic nerve for accelerating it\n  </em>\n  .\n </p>\n <p>\n  i. one nerve increases the rate and the other decreases it ✔\n </p>\n <p>\n  j. epinephrine/adrenaline increases heart rate/force of contraction ✔\n </p>\n <p>\n  k. epinephrine/adrenaline prepares the body for vigorous activity/is part of fight or flight response ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c3-1-14-feedback-control-of-heart-rate-following-sensory-input-from-baroreceptors-and-chemoreceptors",
+      "c3-1-integration-of-body-systems",
+      "d3-2-9-abo-blood-groups-as-an-example-of-multiple-alleles",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw a half-view of an animal-pollinated flower.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the movement of energy and inorganic nutrients in an ecosystem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a.\n  <span style=\"text-decoration:underline;\">\n   sepals\n  </span>\n  as outermost part of flower ✔\n </p>\n <p>\n  b.\n  <span style=\"text-decoration:underline;\">\n   petals\n  </span>\n  as largest part of flower ✔\n </p>\n <p>\n  c.\n  <span style=\"text-decoration:underline;\">\n   stamen\n  </span>\n  drawn with recognizable anther and filament\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  <span style=\"text-decoration:underline;\">\n   anther\n  </span>\n  and\n  <span style=\"text-decoration:underline;\">\n   filament\n  </span>\n  shown as parts of the stamen ✔\n </p>\n <p>\n  d.\n  <span style=\"text-decoration:underline;\">\n   carpel/pistil\n  </span>\n  drawn with recognizable stigma, style and ovary\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  <span style=\"text-decoration:underline;\">\n   stigma\n  </span>\n  ,\n  <span style=\"text-decoration:underline;\">\n   style\n  </span>\n  and\n  <span style=\"text-decoration:underline;\">\n   ovary\n  </span>\n  shown as parts of the carpel ✔\n </p>\n <p>\n  e.\n  <span style=\"text-decoration:underline;\">\n   nectary\n  </span>\n  at base of the ovary ✔\n </p>\n <p>\n  f.\n  <span style=\"text-decoration:underline;\">\n   ovule\n  </span>\n  inside the ovary ✔\n </p>\n <p>\n  <em>\n   As the question does not specify a labelled half-view, allow some marks for unlabeled structures: award one mark for any two of the six structures in the mark scheme (mpa to mpf). It must be clear what each unlabeled part is. The maximum mark is therefore 3 for an unlabeled half-view.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. autotrophs/producers/plants obtain inorganic nutrients from the «abiotic» environment ✔\n </p>\n <p>\n  b. energy is provided «mainly» by sunlight ✔\n </p>\n <p>\n  c. light energy is converted «to chemical energy» through photosynthesis✔\n </p>\n <p>\n  d. photosynthesis/producers/autotrophs convert inorganic carbon/carbon dioxide and water into carbon/organic compounds ✔\n </p>\n <p>\n  e. carbon compounds/foods contain/are a source of «usable» energy «for life» ✔\n </p>\n <p>\n  f. carbon compounds/energy are transferred along food chains when eaten by consumers/heterotrophs ✔\n </p>\n <p>\n  g. respiration returns carbon «dioxide» to the environment ✔\n </p>\n <p>\n  h. respiration releases stored/chemical energy as heat/ATP ✔\n </p>\n <p>\n  i. energy/ATP is used to carry out life functions/synthesis/growth/movement ✔\n </p>\n <p>\n  j. energy is lost/is not recycled ✔\n  <em>\n   Both related by “or” required\n  </em>\n  .\n </p>\n <p>\n  k. nutrients are recycled / example of recycled nutrient e.g. carbon ✔\n </p>\n <p>\n  l. decomposers recycle minerals/inorganic nutrients ✔\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [5 max]\n   </strong>\n   if only energy is mentioned\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d3-1-9-features-of-an-insect-pollinated-flower",
+      "d3-1-reproduction",
+      "d4-2-2-requirements-for-stability-in-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>A nomogram can be used to determine the body mass index (BMI) of an individual.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the BMI of a person of mass 80 kg and 1.80 m in height.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how measurement of BMI could help to assess whether a person has an increased risk of type II diabetes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>25 </p>\n<p><em>Accept 24.5 to 26.</em></p>\n<p><em>Units not required.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. BMI could indicate if a person is overweight/obese/too heavy for their height;</p>\n<p>b. overweight/obesity increases the probability of developing type II diabetes;</p>\n<p><em>Do not accept “High BMI increases the risk of diabetes.”</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates correctly stated the BMI of the individual. Some did it by reading from the nomogram, and others by calculation.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In (b) many candidates stated that a high BMI leads to obesity without explaining that a high BMI is only a possible indicator of obesity.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-1-10-difference-between-saturated-monounsaturated-and-polyunsaturated-fatty-acids",
+      "b1-1-carbohydrates-and-lipids",
+      "b1-2-3-dietary-requirements-for-amino-acids",
+      "b1-2-proteins",
+      "d3-3-3-regulation-of-blood-glucose-as-an-example-of-the-role-of-hormones-in-homeostasis",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>In an investigation to compare the elasticity of arteries and veins, rings of the same diameter (20 mm) of artery and vein tissue were cut from blood vessels obtained from a mammal.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2020.]</p>\n<p style=\"text-align: left;\">Each ring was attached to a clamp. Multiple masses of 10 g were added and removed. The vertical diameter of the artery and the vein was measured, both with the mass and once the mass had been removed.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: left;\">The results are shown in the table.</p>\n<p style=\"text-align: left;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the independent and dependent variables in this experiment.</p>\n<p>Independent: </p>\n<p>Dependent: </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> feature of the rings that has to be kept constant apart from their initial diameter.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the differences between the results shown for vein and artery.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. Independent: mass;</p>\n<p>b. Dependent: (vertical) diameter/length;</p>\n<p><em>Do not accept elasticity</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. width/section depth/slice of the ring;</p>\n<p>b. same animal/age/freshness/temperature;</p>\n<p><em>Don’t accept thickness or diameter</em>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. veins have thinner walls (than arteries);</p>\n<p>b. veins sustain lower (blood) pressure (than arteries);</p>\n<p>c. when stretched, veins become longer (than arteries);</p>\n<p>d. veins have less muscle/elastic (fibre in their) walls (than arteries);</p>\n<p>e. veins have lower elasticity/recover less/remain more stretched (than arteries after weights removed);</p>\n<p><em>Accept inverse for arteries in all cases</em>.</p>\n<p><em>Do not accept a listing of numerical values without explanation</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The experiment described an investigation to compare the elasticity of arteries and veins. In (a) the most common error was to reverse the correct responses of mass and diameter.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (b) many candidates suggested that the samples should be of the same thickness.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (b) many candidates suggested that the samples should be of the same thickness.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-2-2-structure-of-arteries-and-veins",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>To investigate whether carbon dioxide is required for photosynthesis, a plant was irrigated using water from which carbon dioxide had been removed and was then placed in the apparatus shown in the diagram. The apparatus was left in darkness for 24 hours to destarch the leaves. Then, after several hours in light, a leaf was removed from the plant and found to contain no starch when tested. A control was performed using a second plant. A leaf from this plant tested positive for starch.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAfsAAAEwCAYAAACwpNilAAAgAElEQVR4Ae2de88uRZnu53tMDMNJFgdhwbAOgiDCOoAyHNZaqCBOsiCAEZO1cER0y8HRgWhEHLNndLJlku1pEhgnGTPuaDKy/xgT/h9D+J9xPgB+gt75Nft6qbdWdz/dz9PVXV19VdJv91Nddddd111vXXVXVXf/SeVgBIyAETACRsAIFI3AnxRdO1fOCBgBI2AEjIARqEz2bgRGwAgYASNgBApHwGRfuIFdPSNgBIyAETACJnu3ASNgBIyAETAChSNgsi/cwK6eETACRsAIGAGTvduAETACRsAIGIHCETDZF25gV88IGAEjYASMgMnebcAIGAEjYASMQOEImOwLN7CrZwSMgBEwAkbAZO82YASMgBEwAkagcARM9oUb2NUzAkbACBgBI2CydxswApkh8Ic//Ff16qs/qh544HT1gQ/86d7Bb+K572AEjIARGIKAyX4IWk5rBBIj8Mor363J/amnzle/+c2v94j9j3/8Y/2beAYAL7zwfGJNLN4IGIGSEDDZl2RN12WxCEDmJ08er49Nnjv3lZZ8DkbACBiBTQiY7Dch5PtGYAIEmKJ/9NFHqiHkjZdPPgcjYASMwCYETPabEPJ9I5AYgddff606evTIIKJHJc0GsI7vYASMgBHoQsBk34WO7xmBCRCA6N98882tSiLfVVcd2CqvMxkBI7AeBEz267G1a5ohAmzCg+x3CazfI8fBCBgBI9CGgMm+DRnHG4EJEGD3/a4768mPHAcjYASMQBsCJvs2ZBxvBCZAgE15u665s+aPHAcjYASMQBsCJvs2ZBxvBCZAgN30u07Bs27vXfkTGMtFGIEFI2CyX7DxrPryEWD6fdcp+DGWApaPpGtgBIxAFwIm+y50fM8IJEZgjCl4pvCR42AEjIARaEPAZN+GjOONwAQI8Kw8r7/d9Na8NlXIt0v+NrmONwJGoCwETPZl2dO1WSACvAlv2w125CO/gxEwAkagCwGTfRc6vmcEJkAA754X4wydiic9+Ya8YneC6rgII2AEMkTAZJ+hUazS+hB46623auLu+xge6SB68jkYASNgBDYhYLLfhJDvG4GJEIC4eZte1+N4esyOdCb6iQzjYoxAAQiY7AswoquwXAQgbAhcx29/++/1GvzBg9dWl156cU3+1133ofrM72uvvaa+Tzrl4WziX24bsOZGYAoETPZToOwyVoeAiFjP0eOtc/Aee3bP65Anr/vhmdfgsvnu1Kn76/NXvvJMLSNMo2vkSCZnytE96SCdVmcMV9gIGIHKZO9GYAR2QAACZf0cYoZcWUcPyVbvrWcz3ZRkq7IoVy/dQT8NNtCT3+iH/qR3MAJGoFwETPbl2tY1GxkBpsohRrxtkSZnfkOoEOZSptN5Ph990TusDzME/KaeS6nLyGa2OCNQJAIm+yLN6kqNgYDInWfZ8YQhQq5L9oQZAFA/6kl9qbfqbPIfo1VZhhGYBwGT/Ty4u9RMEeCjNHi2IjqumQrf9g13mVazt1rUm/qDgwY8XO/68Z7eCjihETACoyBgsh8FRgtZMgIieMiMaXmmtu3FNlsUXMAHnMDLxN+Mk2ONQG4ImOxzs4j1mQQBSEveKsTF1PVavfdtAQcvcAuJ34OkbdF0PiOQFgGTfVp8LT0jBHitLFPSmqJnJ7rJaRwDQfzgqal+BgF+je842FqKERgDAZP9GChaRtYIhETE42YQvkM6BMBXjyEye+IZk3RYW7IR6IuAyb4vUk63OAQgGciG595NOtObz/hPj7lLNAJtCJjs25Bx/GIREMkwpczUsj3LeU0J/mzq04Y+22Nee7j0dSJgsl+n3YusNWvE8uQhea8Z52Vm7AHpa6bF9snLPtambARM9mXbdzW1s+e4HFOHMy/YzcEIGIH0CJjs02PsEhIiwBvf2F3P419cOywHAeyF3bCfbbccu1nTZSJgsl+m3VavNVPAetSLx7wclosA9tP+Ck/tL9eO1jxvBEz2edvH2jUgIG+ex7u82asBoAVGYUe9j99e/gINaJWzR8Bkn72JrGCIgNbm7c2HqJRzLS/fa/nl2NQ1yQMBk30edrAWGxBgehdPnjVev/VuA1gLv42Xj505PK2/cGNa/WwQMNlnYwor0oYA5K5ntN35t6FUXjyPUWJ3D+7Ks61rND0CJvvpMXeJAxDg1as8l+1X3A4AraCktn9BxnRVZkXAZD8r/C68CwGtz3vDVhdK5d/TzI7X8cu3tWuYDgGTfTpsLXkHBDyFuwN4BWaF8Hken3bhYASMwHAETPbDMXOOxAjQoXtzVmKQFyie/Rq0CxP+Ao1nlWdHwGQ/uwmsQIiAiT5Ew9cxAib8GBH/NgL9EDDZ98PJqSZAwEQ/AcgFFGHCL8CIrsLkCJjsJ4fcBTYhYKJvQsVxbQiY8NuQcbwRaEbAZN+Mi2MnRIDHq/w89YSAF1IUL9+h3fixzEIM6mokRcBknxReC9+EwG9+82sT/SaQfL8VAT2WRztyMAJGoB0Bk307Nr6TGAF11PbMEgNduHgPGAs3sKs3CgIm+1FgtJChCGjN1S9KGYqc0zchQDvy45pNyDjOCLyHgMneLWEWBNiQx4dtHIzAWAjwiVzalYMRMAIXImCyvxATxyRGQNOuePcORmAsBGhP3rA3FpqWUxoCJvvSLJp5fbSD2u+7z9xQC1WPdgXh084cjIAReB8Bk/37WPhqAgSYun/hhecnKMlFrBUB2peXiNZqfde7DQGTfRsyjh8dAabv+ZiJp+9Hh9YCAwRoX7QzP+URgOLL1SNgsl99E5gGAK2n+nnoafBeeymazvfAcu0twfUXAiZ7IeFzUgQ8tZoUXgtvQIDd+V4yagDGUatEwGS/SrNPW2k2S33gA3/qTVPTwr760tzuVt8EDECAgMk+AMOXaRDg2Wd7WGmwtdRuBHjZDh6+gxFYOwIm+7W3gMT199ppYoAtvhMB7RXxo56dMPnmChAw2a/AyHNWkUeg/ErcOS3gsml/fhTP7WDtCJjs194CEtZfL9DxjuiEIFv0RgTk3fPhJQcjsFYETPZrtfwE9fZa/QQgu4heCODd+735vaByokIRMNkXati5q+Wd0HNbwOWHCLg9hmj4eo0ImOzXaPUJ6mxPagKQXcQgBPDsvX9kEGROXBACJvuCjJlTVXhdqXdA52QR60J7pF06GIE1ImCyX6PVE9dZ78BPXIzFG4HBCED2fmXzYNicoQAETPYFGDG3KjBd+uqrP8pNLetjBOp26ZfsuCGsEQGT/RqtnrDOPObkV+MmBNiid0JAG/X8OOhOMDrzAhEw2S/QaDmrzGdFT548nrOK1m3lCNA+/fnblTeCFVbfZL9Co6essqfwU6Jr2WMgwBKTp/LHQNIyloSAyX5J1lqArldddcBft1uAndasot7suGYMXPf1IWCyX5/Nk9XYjzYlg9aCR0aAqXzvyh8ZVIvLGgGTfdbmWZZyfMbWn7Jdls3Wqq3b6lotv956m+zXa/vRa25vaXRILTARAnj13kiaCFyLzRKB0cn+nXfeqV566cX68SseweK45pqr6rh33313HwjEf+5zT+yLm+PH73//n7WeP/jB3+9cPPWhXgqb6kiZYIQOSw565M6PNC3ZiuvSnf87t9d12XzNtR2V7EVcDz746X3k9atf/Vv18Y/fVZMggwGFTUSodKnPc5J96rpNJZ/1entKU6HtcsZAgPbqVzqPgaRlLAGB0chehNnmqePVx+Qe/54LMOk+h2c/V53HLpcPjHi9fmxULS8lArRXfxgnJcKWnRMCo5E9JM+0WOi5xxX9+c9/Vk/nKz4me/JKDrI4mCUIZTaleeaZL0tkfY6XEWIZ+xJXVT0LQVnIYQZCZcdyyceA4OabP7yXBn3D5Ql+Uy+FuI6K11mzIeE0flwGMsKBCPUjDv2kK7MncwaeW/aLSua0gMseigDt9YEHTg/N5vRGYJEIjEb2kA+kOiTERAiJhjIgdsiXQyH+DUmK+EgjItQAASImD7Lbgjx7iJMBCYG4WB8Rs4i3Sb9dyV5lhOQdx2kwI6zCtG11TB3PB0beeuut1MVYvhEYDQHaK++FcDACa0BgFLIXWUJ0Q0JI9pAsZIusMIjYIG0O0jR53MqzidiVLjy36S+S/d3v/qOeXaDsuI7KqwHArmTPACMuQ/UGC4Iw0cAkrMsc19qcN0fZLtMI7IIA/9PepLcLgs67FASSkr2IkH+o8BChh2QvwLgHmXHguSofhEcgjnx4syJY5eUsgo6XDMI08bX0jMkTz53ykanBSJwGWegjL3tXspdulCkckI8e/CZw5rdwVJ65zt6cNxfyLndXBJjG9ya9XVF0/iUgMArZU9GQ8NoqLiIWSZEn9GJF7njnEJoID2IT2SObe6QhnoN84VQ2+SSL+3jLxLUFkX0og7ShRy3dVWZ8Rh/CrmSPDpLNDAZ1ZWaBOK4JnPktHOvIGf/4XeMzgu+id0LA33LYCT5nXhACo5E95Ap5h6Qc4yDCFEmFZK97MeFqE1qbXPJB5m1l44mL+GPZ0q+N7Js8+zYZkrUr2VMPDRwkU3r0JXumJadcP2dHs3c1y1o+LwkBt90lWcu67oLAaGQv7zP01GPFYo80JHvy4a3GpC4PPo4PZWugoEFEeI9rkTnpmoLui0yVJpQbE67SoBf1UN5dyL5ND3n7KiPGUbrorA99TDVFSTneiS/0fV4SArxJzzvyl2Qx67otAqORPQpoXTueVoes5F1zFnGHZC9iFaEhTwMABgGQrYgVGQrEMyCQN6xr4hVIT1lhnO5xFslSjtbk0Zk84WZAzTJo0IA+yGZmQXXahezRBVkc0hU9+I1u0mUT2atuEDC75DlSkvFUgwrVy2cjMBYCrNeb7MdC03JyRmBUsqeikB5kBFFCUDqIg7jCEJI98SIx5YHcNAhQXogZglUazhCsyJazSFlpSE++tiCypyzNJJBXpB7mI07kSxpki5hJtyvZo0uoA9cqk2uCcOqqU6hzatL3Z21DtH29JASYBeP/2MEIlI7A6GRfOmBj1w8ip7PpS9y7lB+T/liPHLmz3MUqzjs3Am6/c1vA5U+BgMl+CpQ7ymAWghmOKYOmLvHI2aC0K+m7s5zSei5rbARov7v+D4ytk+UZgbERMNmPjWhPedrQSEfTtFzQU8xOycYgfWT4Azg7mcGZZ0bAe05mNoCLnwQBk/0kMOddCITNu+3x9Pk4COuYfYMGDH3TO50RyA0Bk31uFrE+KRAw2adAdaEyIXleMsJsA+c+pG+yX6ixrfYeAib7PSh8UTACJvuCjbtt1YaQvsl+W5SdLxcETPa5WMJ6pETAZJ8S3YXLhvSZ1md6n2l+iD0O7PDnnoMRWCoC/q79Ui1nvYcgYLIfgtZK07JTmV37kH7sBfl1oyttFAVV2224IGO6Kq0ImOxbofGNGIEm0ndHGaPk30tDwG14aRazvtsgYLLfBrWV54H09YIeNvMxDepgBJaKAG0YwncwAiUjYLIv2boT1I2O8o033pigJBdhBNIgQBue8iuRaWphqUagGwGTfTc+vrsBATpKByOwZATchpdsPeveFwGTfV+knK4RAXeUjbA4ckEIuA0vyFhWdWsETPZbQ+eMIOCO0u1g6Qi4DS/dgta/DwIm+z4oOU0rAu4oW6HxjYUg4Da8EENZzZ0QMNnvBJ8zu6N0G1g6Am7DS7eg9e+DgMm+D0pO04qAO8pWaHxjIQi4DS/EUFZzJwRM9jvB58zuKN0Glo6A2/DSLWj9+yBgsu+DktO0IuCOshUa31gIAm7DCzGU1dwJAZP9TvA5sztKt4GlI+A2vHQLWv8+CJjs+6DkNK0IuKNshcY3FoKA2/BCDGU1d0LAZL8TfM7sjtJtYOkIuA0v3YLWvw8CJvs+KDlNKwLuKFuh8Y2FIOA2vBBDWc2dEDDZ7wSfM7ujdBtYOgJuw0u3oPXvg4DJvg9KTtOKgDvKVmh8YyEIuA0vxFBWcycETPY7wefM7ijdBpaOgNvw0i1o/fsgYLLvg5LTtCLgjrIVGt9YCAJuwwsxlNXcCQGT/U7wObM7SreBpSPgNrx0C1r/PgiY7Pug5DStCLijbIXGNxaCgNvwQgxlNXdCwGS/E3zO7I7SbWDpCLgNL92C1r8PAib7Pig5TSsC7ihbofGNhSDgNrwQQ1nNnRAw2e8EnzO7o3QbWDoCbsNLt6D174OAyb4PSk7TioA7ylZofGMhCLgNL8RQVnMnBEz2O8HnzCV1lP/933+o3njjDRt1ZQiU1IZXZjpXdwACJvsBYDnphQiU1FF+4QtPVtTnyJFD1WuvvXZhZR1TJAIlteEiDeRKjYKAyX4UGNcrpKSO8s0336wuu+yS6stPP10T/pkzp6s//OG/1mvcldS8pDa8EpO5mlsgYLLfAjRneR+BkjpKyP7IkcPVfffeW3H97Ne+Vl155RX28t83d5FXJbXhIg3kSo2CgMl+FBjXK6SkjhKCv/vuT9QE/39+9aua8H/y4x9XV111oHr++efWa+TCa15SGy7cVK7eDgiY7HcAz1mreo27FBxeffVH1eOPPVadP3euPkP+HBD/sWN3VOfPnyulqq5HgIDJPgDDl8UiYLIv1rTTVKykjvLll79TT91D7kzf/9833qjJHsLnGsI/efJ49cc//nEacF3KJAiU1IYnAcyFLBIBk/0izZaP0iV1lGzI+4d/+GFN8Kzbv/Tii3tkb8LPp82NrUlJbXhsbCyvHARM9uXYcpaalNRRHjlypPrn11+vCR7SZ7OepvJ1lofvKf1ZmluSQktqw0kAstAiEDDZF2HG+SpRSkfJ1Dx1EalzhuzZoKc4iJ4pfhP+fO0tRcmltOEU2FhmOQiY7Mux5Sw1KaWjhNBZkxexc4436vEoHhv4uAfhs0v/Rz/6X7Pg7kLHQ6CUNjweIpZUIgIm+xKtOmGdSukotRM/JPt4o973vvfK3jP4pGPKH8Ln2mG5CJTShpdrAWs+BQIm+ylQLriMUjpKnqPHc+fQuj0kzkY9SJ5rpvT1wh1+c3APwvcO/eU28lLa8HItYM2nQMBkPwXKBZdRSkd55sypmswhbx6700780JtvInsIn6l9dvI7LBOBUtrwMtG31lMhYLKfCulCyymlo8Q7Z9peHjyb8zh4ox51/NnPftro2ZOe9Xs+nuP1+2U28lLa8DLRt9ZTIWCynwrpQsspoaNs2okPiTOdjzf/wJkztafP43jxND7plBYs/OGc5TX0Etrw8lC3xlMjYLKfGvHCyiuho4Ss77//vpq0Rd7hGZJnp77W9MN7DAaIJ46zp/OX18BLaMPLQ90aT42AyX5qxAsrr4SOkp34n3nooVayh8hZx7//vvv21vJF+OEAQNP5r732WmFWLrs6JbThsi3k2o2BgMl+DBRXLKOEjlLvxBeBN53ZhHfgwAf37dQnXbhbn9/MAnh3/rL+IUpow8tC3NrOgYDJfg7UCyqzhI7y7Nmze4/XNRF9SOLhfTx56s85jL/vvnur73735VmtzD6E3/zm17UeL774N9XDDz80qz45F15CG84ZX+uWBwIm+zzssFgtSugo9dhdSNhN10zlh8/gM4XfNP3POj5pp372ns2BPBFw4sSxehDCoOPLTz9dXXbZJfXTAottZIkVL6ENJ4bI4gtAwGRfgBHnrEIJHeWxY8fqXfcQPATOVHwT2etb99zDm4fQIfamtEzvT+XdU/65c+dqgmfwIf3RkY2FV1zxweqtt96as5lkXXYJbThrgK1cFgiY7LMww3KVKKGjpA4ibIgSEoc09dx9eE9fwuN+6NXj8TNQUFoGAazdpwyUxawE5VB2uJwgon/owQcrvubn0I5ACW24vXa+YwTeQ8Bk75awEwIldJQh2UOgECVePKQfkyhxzz37bH0vJFfIPX4GH6/69dfH35nPdP0DD5xuJHkNNtCf8r/+wgu117+TkQvPXEIbLtxErt4ICJjsRwBxzSJK6ChjshdhisBF+nj6kOjHP37XvrV70vNa3dDTVxyb/8YK7AFgaQB9NQhhwBEOOihXRE88OqUYcIxVpxzklNCGc8DROuSNgMk+b/tkr10JHWUb2YekD4GSjmn8G2+8YW+6XmkgXw795gzZkmeMt+ohj1fysukuXF5An3DfAO/0J04DAC07ZN+QZlSwhDY8I3wueiEImOwXYqhc1Syho6QOIUm3XUOgePCk5135YToGA/p4Thg/hmf9wgvP11P2sXx0Yape5fGbWQg9MaDBRq5tJxe9SmjDuWBpPfJFwGSfr20WoVkJHWVfshepQuAx8eJBi2SVjjMEvO1UPjMCJ04crwk99OYlH6JHPr8pm3qEXj7Xx48fW0Q7mlPJEtrwnPi57GUgYLJfhp2y1bKEjnIo2UOw4fo8pKrpchGxzpDwNrvheVSOXfbMGEhWeIb88eLx3nUt4lc6BiQ8kufQjUAJbbi7hr5rBKrKZO9WsBMCS+oo2eAmIgzPIdmLPMP78TXkGuZhF368Xh/mIe2QF+zwbn3yiLxF5qFMiJwBB/oePHhdxSN23Oc3+XiEkIHCVM/679SIZs4M1g5GoHQETPalWzhx/XLtKPGMeZscU+i8NAc9OU6dur8+IGgdxItIIcpwg5vi4zNT6BAq6eVhx2n0mzK57hMgejz6eDo+fqxPSwmc2TCIzqojadFNX/LrU+6a04CbgxEoHQGTfekWTly/nDpKCP78+XPV0aOHa/LTprmQOEXA4Tkke+IhUMgcLzlMF16fP3euOnP6dE2wm+SLqDeZQkQfr/0zayAZ0gFyf+Lxx/fpGeejXkNmFDbpV+r9nNpwqRi7XvMjYLKf3waL1iCHjpLnyHkfPB4xJByTngiSM/fwxDVFThx1iIkdOaSDaON75IHgL7304n0eeFhOeC2i7jJ0G9EjBx3iZQJ0Rr+2uhIPHg6bEcihDW/W0imMwG4ImOx3w2/1uefsKCFCXhfL8+cheYtoIUNIOyZriDokfLzkJu+cOIiaOjJLQBmhLGSwnq7y2s6byJ6v00HMIXEzDS/ZWp+XfNJdcsmf7b0DX/HhGV3PnDm9+vbZB4A523Af/ZzGCIyBgMl+DBRXLGOOjpKp6bZnz0PCgywh2qYpeQgT3TmTponsJQs5EK6IH3lM9d9yy0fqV+cqXduZ9NxrCiw9MGiA3MP8xIn8NejgPoMN5MWefpiXawY53pzXhPiFcXO04Qu1cIwRSIuAyT4tvsVLn7qjfO/Z82P1m+R4sQ0kLA84Jjz9hqQhZ/3WGcLUvaaZAaWLz5Av6T/5wAN7u+DjNOFvMGpbO2f5ISZuiJ/ZBsmA4JHBmRkGdNa9tnPXAKP4RjmwglO34YHqObkRGAUBk/0oMK5XyJQdpZ49x2uF5CB5yA8vGAKUJxwTICRJmth7F4nyzXfJjPN2/aa8kJSb0kLcEHpTwPPm9bdxPsg/1gfyfuTs2boe6B3niX93DTCadFlz3JRteM04u+7zImCynxf/xZc+VUep6e4mDxzygyCbCF0kyH0GBvxmkADxc0Cin3viier22z+2kUAlKzxTZtfMAmTOI4BxYIYC7JryMnCJp/Vffvk7e8sOYfkMOMCEuql+1MtvzosRb/89VRtu18B3jEB6BEz26TEuuoQpOsouog+Jjyl9PG3IH8LjNyR/8803VbfddmtNlugLQd911511Wtbd7777E9Xll1/WSLyh/KbrJmJWOgibjXdNU/i82Q7dlDY8IxP9Ffcvv/hFvfOfenCPg0GK6sISBXXVzAazAuxpcOiHwBRtuJ8mTmUE0iFgsk+H7Sokp+4oIUqmweNpbRGhzpAjaa6++qqaBCFDSPALTz5ZXXfdh/aRJ3nwqNFd+UPPWHF9zhB2k24QL0TPTvs44NVzr206PiZ76sGAhDqGR5t+1J17Dv0QSN2G+2nhVEYgLQIm+7T4Fi89dUfJS3IgvyZiw3P+y89+trrssktqTxfSJS4kUaa4mzbnIS8ke8gfj1/ecVN5TXGUF+snom/zronXlHuTzJDs0R+9wjo15VEc9WAg4dAfgdRtuL8mTmkE0iFgsk+H7Sokp+wo9fx5SHRc400zXc/x8Gc+U7/JTmQXnyFVprjjeH7jAYfT5SLWIYSvQYLkoxtk27ROrwbBenpYrvLqjM7IQQ+Iviut8uhMXRkgOfRHIGUb7q+FUxqBtAiY7NPiW7z0VB0l0/d8LQ4ChshE8pBf6Pl2kTn5urx1BgsxkYrwIdtwkCEybTqDwddfeKF+uQ8v+WGPQVugXqRvkqM4ZgvQjcEIeii+z5kXDDUtHbTp4/iqtodxMAKlI2CyL93CieuXiuzDx9Igv5jkIT7IGFJs88Qhbq1fNxFlG+kijwEFZbIEAOEyKAgPdCIe+ci57757alLeBDd66MM4TTopji/ZHT58aBDRo982n9PdpHPp91O14dJxc/2WhYDJfln2yk7bFB0l3q+mwvHcIV3IVUSoM2v0bevxGghoZkB5dOZ+G9krDd76xRdfVD3//HPVAw+crk6fPlUfeO/85nE4vGi86V/+8l972QbZDCRURtMZ0qbOLBE03Vccg5KwfmDlt+b1MsO+RCna8L4C/MMIZICAyT4DIyxZhRQdJR+F+Yu/uLv2mvGcm6bTNd3edI848nV59Qwe+pAuH7vpmpbHdg899GDvqXOIusuzR3fNYlBHiD+sIwMA4hjokE7T/O/lO1Cx099hGAIp2vAwDZzaCKRHwGSfHuOiS0jRUR46dGN16NCfN+5Y1xR703o7RAoZcg8ibJveJ92mtX7SQKQf+9ht1SuvfLfThtzflEYCNq3ZQ+InT56oy2bWggEJGIcHcaQL68fAgBkHh+EIpGjDw7VwDiOQFgGTfVp8i5c+dkeJF80X3dq8bkhN3iyEHB94uKQJveGmNH2mySHb559/tp6y7zLkELJHDtP+TcsSfafv4/rwm1kMPvXrMByBsdvwcA2cwwikR8Bknx7joksYu7u9SJMAACAASURBVKN8/PHHarKPyRovVm/EYyDAwXQ4h37j7TIQgEhDrzcmR0iVPHF8+JsZAur29ttv12c88rYwlOx5LK+pfAi77THBULf4mrqyx6FLxzbdHe/d+G4D60DAZL8OOyer5dhkf8UVl++9kQ4SY7odImOX+dmzZ+sNaGyKiwmP35Aum+b4jjvp0Y130zMIYACwacNbKBOvXs+rnzx5vHNNfijZawNi6N0zSOnaYxDqFl97Y95uzXvsNrybNs5tBNIgYLJPg+tqpI7ZUcqLhuTxfCF53ja3aYNcG9iQKsTIDnUGAO8NGg7ve5wunAFgNgEChnR5Ra88ZXRoexseZQ8le/LohUGUT7ksKzDjEBP5pt/kJ690bcPC8e0IjNmG20vxHSMwLwIm+3nxX3zpY3aU3//+3+5tRIOgUxAYAwfWtnmcjg1tmgGgHhzExW+/g5h51K4tbEP2yOKpAwYgDz34YONmxE1Ez31mLvy4XZtl+sWP2Yb7lehURmB6BEz202NeVIljdpRf+MKT9Xvut/XkUwHLoKOrnq+++qPqqafOb1U8MwnI/uY3vjHYq2fqn1fvphgUbVWZhWbqsu1Cq2S1jcAFCJjsL4DEEUMQGLujzJW4WLfHk24KxHd5/k15FMcA5847T9YePvsE+u4r4IkDpu9zGxipXks6j92Gl1R367oeBEz267F1kpqupaPEc8eDbwq7kD2P4ZGfQQ7T8RA4+xXaHh9kMMCggOl/E32TNYbHraUND0fGOUpCwGRfkjVnqMtaOkqI/tFHH2lEeFuyZy/A0aNH9smE9NkzwN4BsGWzIOTPwcuCIPlU+xn2KbKiH2tpwysyqavagIDJvgEUR/VHYC0dJYQeE7NQ2pbsGTy0zRaEspGvQ/E+j4fAWtrweIhZ0hIRMNkv0WoZ6bymjpK6Nu0p2IbskYM8v8t+/sa8pjY8P9rWYC4ETPZzIV9IuWvqKNs26W1D9jz+17YsUEjTWEw11tSGF2MUKzo6Aib70SFdl8A1dZRtm/S2IXsGDn6XfR7/K2tqw3kgbi3mQMBkPwfqBZW5po6y7Xn6oWTP1D24NS0JFNQ0FlOVNbXhxRjFio6OgMl+dEjXJXBNHWUbqbfFt7WErp39bXkcnw6BNbXhdChacu4ImOxzt1Dm+q2po9SmutgkQ8neU/gxgvP+XlMbnhdplz4nAib7OdEvoOy1dZQ85x7voB9C9p7Cz6/Rr60N52cBazQFAib7KVAuuIy1dZS8FhdyD0MX2XOPaXs+vcvB63Hvv/+++sU4vFTH6/YhkvNcr60Nz4OyS50bAZP93BZYePlr6yj51C1fuQtDSPa8wpY0fKAGbHgDHq+35aM18cEX60hz9uzZCwYQoXxfp0VgbW04LZqWnisCJvtcLbMQvdbWUTbtyP+nf/qn6tZbP1IdPXq44l3358+dq/iaHd+pZyDQdZCGQQDLA3x2157+9A1/bW14eoRdYg4ImOxzsMKCdVhbR/nss1+rrr76yvord7wU58MfPlJ/vObxxx6r/vn11zuJfRPp8/77Eyf8ydqp/x3W1oanxtfl5YGAyT4POyxWi7V1lG+//XY99Y7nfumlF1e33PKRvel6efRdpL7pHoMGE/60/w5ra8PTouvSckHAZJ+LJRaqxxo7Sur84x//7/pLdCLvn/z4x/X0PWv03GcQwKFP1uK1a+2etF1T/BA+GwEdpkFgjW14GmRdSk4ImOxzssYCdVljRwkRP/30l+q1dpF9eOab8//jq1+tbr75purAgQ9W995zT/V3f/c/62/U4/1rQAD5M0MQ5uWagQBr/3zq1iE9Amtsw+lRdQm5IWCyz80iC9NnjR0la/XHj9/RSNQxcT91/nx16NCf73n4P/3pTyoGAxwvvfhi/Y16PPk4H94/m/a8YS/9P8Qa23B6VF1CbgiY7HOzyML0WWNHyaN3x44dqyDkmKTD3xA6+LBxT7vuL7vskuriiy+q45nah/DbpvR5NM/effp/iDW24fSouoTcEDDZ52aRhemz5I4Sr1nkHL8Vr8sMfK3utts+upHs8diZtlcZnPH08dhvv/1j1XPPPluv47Ouz+N3Mekzxc90vkNaBJbchtMiY+klIWCyL8maM9RlaR0lhHv+/LnqyJEjtXd96tT9FQcEzHHu/5NzF5TIuPXWWzrJXl59TOBHjhyu80HukDxeP2nx8rkXP75HHC/qcUiHwNLacDokLLlkBEz2JVt3grotpaOEoM+cObX30puYVLkP6eoFN488crZ1vZxZgOuvP9hJ9nj08Vr8e5764T1Pnyl8pvU1IOA3eH7ve6/spUHGd7/78gSWXG8RS2nD67WQaz4GAib7MVBcsYzcO0qImdfR4rWHJAq5tx2QLzvl4+fdmfbnffZ42pA9A4M2Gey4j3faQ9wQuvIwuGD9nrIUh45gqv0A/D5zxo/hpfwXy70Np6y7Za8HAZP9emydpKY5d5QQMySPly3vWaTa5ww5Q/i//e2/V+zAp676EA5r6XfccfseSYfyKIu0YRzXmrZXPIR+992fqONF7tyD4DUAIP706VNJbGeh7yGQcxu2jYzAWAiY7MdCcqVycu0omfqG6GPvWkTb5wzRHjx4Xf2mPN6JHz4Gx5frDhy4op76j2WRjzX4MB4vHrIP45gZYCCCtx+nVzryUQ+HdAjk2obT1diS14iAyX6NVh+xzjl2lGzAYxq9aV1eJNp15ln4kydP1OT87W99q5YVPwLHl+0+85mHGkk69MxVTtMAALLXUoA27il9eM4R4xGb0OyijO/sJrACEyBgsp8A5JKLyK2jFNFr2h7Pnul4PGc8a/RlIMBviDYcEJAHT5tNc+y2lwyImrzh43k8a//SS7wU59C+dfiQpMNrefFxnMieM3qG93WdG8altWfjW5pFXZ8mBEz2Tag4rjcCOXWUMdFDlkyRc0DYInbOGgRA4qyP48HrmlfbxtPqEDHevALP2rOOz2Y98uHNi5ybzpC5iF33w7imaX7Soaun8YV6mnNObThNDS3VCFSVyd6tYCcEcukom4hepNp1/pdf/KIm02uvvWZvfb9pyj0mXWTqYzUQPrMBDAg0GxCXGRK77sVxzDhQtu5z5jePDDqkQyCXNpyuhpZsBEz2bgM7IpBDR/naa6/VhI13HBLlpms8frzyeLd+E9kji3V1zgQI/ujRI3vogQPkz7R+k5cfEzty4jj0IC7Um9/PP//cXjm+GB+BHNrw+LWyRCOwHwF79vvx8K+BCMzdUUKM6IDnLZJmCp4D8oR440EAv7nftilOckLS5ZrpfnblK4R11zUDD97Ox3vtkSMZePyx189gQ4/YkY7f8bo9clgycEiHgGyXrgRLNgLzI2Cyn98Gi9Zgzo6SR+FYz5YnDZlCsDrwiiFTdITcif/mN75RT7nH3rxImTP5uB/GKZ6NeQrI1eN4MQ6Q/tVXX1nde+89e/rF8tCHqXvF8xs99Zv6hGWoXJ/HRSC23bjSLc0I5IGAyT4POyxWizk7SqbNY09YRBmeIc0vP/10/bY61tZDgg3T6RqZeNn6rTPxoWevF+xgvBgHdu4zEJGn3zS9LzKX/JjsGcTw9j+HtAjEtktbmqUbgXkQMNnPg3sxpc7VUfLcOwQKYYos286QKFP2ePnkC73npjykZVkgvkd5xCl0kb126yttSProI9nhDENM9pTnKXwhmO48VxtOVyNLNgIXImCyvxATxwxAYI6OUtP3IWmKPOMzU/JswpOnzu+u2QANDGI5xMePwD311Pk9Tz/Ggcf0wil/QcpgAzkMPOKBSkj27+nx/gZA5fd5fARi241fgiUagfkRMNnPb4NFazBHR8lnaEXYbLbTRjem59EnPG688YZ9XjpkzxGTOb8hX2Q03Sc+/vocZC5Cj3E4efL4vlmA0MgMVpiex3MPZxB49l+zDmzMYzbAIT0Cse3Sl+gSjMD0CJjsp8e8qBKn7ighZTxjiBlS1otwIHy8Ye5zJp4BQew941HLy48Jn3sccTxy+CBOHLrIHly0eS/Op996f78IXwMR1urZ0e8wDQJTt+FpauVSjMB+BEz2+/Hwr4EITN1R8oIZed4QeUzmGgBoh35M3G2P25EulkUcRM/gInxVriDiq3qs2xNCHMgXPoOv9E1nCJ9ZA8qmrK+/8EJdHrIdpkEgtN00JboUIzA9Aib76TEvqsQpO0pIVF491+EBWepzsfKUw/tcM+WPvnF802/kMaWOR99E9BiRfE1kz4591vP7Br5XzyCFgQh18A78vsiNk27KNjyOxpZiBIYjYLIfjplzBAhM2VGKFGNyhtwhyk9/6lOdZI633zRNH8tjmp9BBa/g7ZqKJx9r84QQh3DjXgBV6yVy+FwuMii3q8xWIb6xNQKh7bYW4oxGIHMETPaZGyh39abqKPXcejzVDoGHu+27pum71uuR+95a+aHam4eANwVIWfXXmTxdm/PaZB4+fKiW5en7NoTSxYe2S1eKJRuBeREw2c+L/+JLn6qj5FE21rRDL1zr89qYxz30CdOE10zjx4MFZgV41h2Pmv0AQ59rV/11xqDhdV8DP/nk56svfemLfZM73YgIbGOvEYu3KCMwCQIm+0lgLreQqTrKo0fff9ENhA3xs7EtXJ/n0TXiQoKPr8lLOgieWQDkMpDgwzbbBNVfZ8rruzlvm/KcZ3wEZLvxJVuiEcgHAZN9PrZYpCZTdJQQMcQMkULWEDqb52IvnWl4iFwEz328ftbgNThAXzx4dsFvS/ChoSB25AiH+M15YVpf54mAbJendtbKCIyDgMl+HBxXK2WKjpK3zkHWePF6fl6EzhlCh+SZ1icdL6RhWh7dTp06VfESHnbIk3bsoFfmCoe2N+eNXa7ljYeAbDeeREsyAvkhYLLPzyaL0miKjhKy/tJf/VV14MAHq0fOnq2n4ENCP3bsWP0I3Msvf2eP1Nselxsb3Jjs9XvsciwvHQJTtOF02luyEeiHwCxk/6tf/VvtdfFPFh/XXHNV9YMf/P2e9r///X/WacK4vZs7XLzzzjvVgw9+ukI+YYxyxpCxQ5VmyTpFR/nRj95at4HLL7+0fgadKXi89KkIvQvYO+74WP1MPThA9JyfeOKx+jW6YywTdJXte+MgMEUbHkdTSzEC2yMwK9k3EThx/PM988yX61qlIlCVI7LfHsL3c6bS9f0S8ruaoqN8+OGHqueee3aSyvM4HVP+jz76SE3eEDgHr8YNyZvfLBWwrHDPPXfXbfaXv/zX6oorLq/z86w96/kcrOOTlyl+8nB2yAeBKdpwPrW1JmtFIDuyxxAf//hdFR4+IRWBmuzHafKldJSQMQRNfSB6rfEzg8Cz7yJqiJ/n6DlzT+/HJx+/iQ8DeUX6kkl+yvDLc0Kk5rsupQ3Ph6BLXgICWZL95z73RN3pQvRNZM8yAFPw/JPq0EyAQIfMb775w3v3GUCQj/DSSy/uxZOf8prKYapfupAOGaRrC5KBLqRt061Jh1A/yf/5z3+2rw7UiUEQOuUSqONSAoQOyWrzHiQMOXOmHpD9pqUBCJtDISR7rvt47ZA8hM9hwheS852X1IbnQ8klLx2BLMke4mvz7EWoELYCJE56xWlPAGSpINKGwAmxZy+5xBPefffdmmgZMCgPAwzK4V5TkAw6D5VNHDLIq4AuoVziY9nkR470QQcNIEz2QrL/WW/gg5BF6JA/3jjnbUNI9poR6CMLktdUPwMO5PCb6/AI9e0j12mGI5A72dMXxM4Nv+W8DK/x/hz0Z2Cg/lP9mPqe/anT/4r75jFLjOs6puwmWX2cM/p1jtQhO7KX162GFjc8vGaIMg4hYJIhko7T8jtuUHE5ui/SJs/vfvcf+wg4lisZMRlLFvnRKSRxydAARf/A1DFuAEoTy5eMOc65d5RgAqFDxH287qEYhmSPp05ZQwIDDab6JYf8OojTTIRfozsE1WFpc27D6js4h4E+AL3D/im8P+R6agLcpJvqTH86dsitrtQv5K6x6xvKm5XsaazxAcmFDVsEGsZRARo5pM4BWMgROYakzP0m0o8bVFyORtJNeUMAw2vJiP8BmwieRif9GcAIBwi9Kb3KaRsp7uKdSvY2Z/TONYTr5XjNKTASSct+Kabl2eDH0kMK2bnabkq9cm7D/L/HS5TChr6yyfHR/b7n3Agw7pv71qNPutzqis6rIPuYwJuMJQJVWoiQBs4/KIQMYUKuMWCQZkiipCetQtyg4nI0gKBx9A2SIe9c+eIGhh7owz+yCJ86EEdeyVGdJYdzE9lDAniV5IcUmAaG3CAiCC8FyUknyswxiCBTe8TIB29hnwoLyqBODuMjkGsbVr9BP9c30GfQR1AnDmYAYoeFvkZpOKsvVP8Y9z+6T3wYwj43zCNHKSxfMxHEcb+rX1V56KO+nnwa9Kgs6RvqRDnhAGhTXZEBBiFXqP/uwhL9qT95w7ogD10pl8B9dFJAd3GL6hTiqHSUHdYdGWE5SjfkPKtnT4U2BRlWaWkoMcDIABhAawrIUGNTA0EeYHOP0FQO9+N/lCb5ipMMNRbFh566Zh2kh9KEZK/0cRrSxo1H+XVmPZppYDaRMW0NSWgDmjakEc9AgHRav1b+oWcwyi1QJ/RKOchRncFQZM85VYDoGdA5jI9Ajm1YtRRxclYfqHvxWYQloqEfoU+kbxRRqN+TLKUBA/U36seURnnUV6rckKSUh/5J/Z/6NGRLFulII+KWrPCs8tBbZSIz1BE8uB8G6ohs1UNyVHZTXUmLXOQRpHsfLNWXi8zj38gL+2thpLK4zzXlh9zVpneYplZ24J/FkT3gxZWWkeP4GIsQeAGqxiRDqGHovv5xkCUSDo0VliEZamy6J1nc17UaldKo0Sm+afDS1JiUv88Z8oOcIHptBtPOdIgEsuKeHhHrM21MQ80tULcU6/NN9QzJPmWZ2AKs+9ikSU/HtSOQYxuWtvRtclTQk0OEpr6LtG19TxxPvxL3XzGRKk/cF4blUSb9rfpc5YlJHF3j8vgdE7Xqy1l9ZNj3Eh/2idI5TKPBhfTsU1f1u6Ec1SXux5vipStnyuPQwAqdQ87BjvwOQ8xd4hgNIJRWZcsmih9yXhzZq+GLFAGHxsM/AUATMBKgKg1xMoqMqoZBGmTEYGIE5NGYuU9Q2ZBuU5AMdFE5yEcX/RMoTfgPIN3CfNJPxkUHdCFN3BCadBkaB2kxJQ3ZsylM3irlcU0c9/AwSavA/ZwCAxpmMEIdU+oXkj34pAzYwFP54yOcWxtuqyF9gfo2dOZQ/6A+pKlvEgmp71GesBz6KJFbnE6yiQ9DE9nHspEb91f8Jr4t9CmPvOqfJYc+NR58xPqQNqwrdQbHsG4qvwtLlclZ/TJyQs5RWao/5Yb9vmSEeqvfF38ojWQ15Q/TdF0vjuwhYSqsxi7DQaZca1SFwfitdDSMEMBQDsaKGzigQbAYSjJIFxszBDeUETaAuMGhR6gb9VED0z8cckmH3ipfdQrThOWnuMaThNAgGcgM4g/3B6DbVPsDNtUP/Zip2IZ0qSOHBjzI0KHBD3WPD7C4+uoraxtpdiRMoyUTydKsCWUNXULxVP6mFrDdfdrwXAGb0l5ot0MC/RB9g/q8JtKSPPoi0oX9k+7pzH31K3E69U3EhwG5HIQ4j9IhV2SnuLHIPtSLvho7EtelD/fCujbh1hQn3YWlfnOWHtgjDmH9w+swHXgIR8lSnx+flS7M3/d6FrLvq5zT7UcgbtD7707/S2vjU+0P6KohAw7IdtM6PTqjrwhc/0whUYuYdaZD1mAgPj/77NcqXueLHF6XG9+nLMnhrOUTdfDkC/dSbNpQSFr0cRgPAWwwZaAN0hawpezZtDyjjj8mWemq+xC/rtu8UUiijZCRFxJgnE6yYz2QKfKJ80jHJoIbi+xx2JCPoycd6SMJbfrEdW0idsnqwlL1QwcNumhH5A1DWH+umzxz4oQjDh5yupzKUP6Qa5P9ELQmTKuGoZkKiqZR0LDCuAlVaiyqraMM9wfg3YbkJmKlw5OnO9TLDZWBYPGMmjrMMN33v/+31UUXfaAmepW7KU+Yv+laRN6GQ1OeOA6sNKNw7Njt9T97nEa/qSsE4TAeArvYbogW2I5BJuUx6ON3VxBhyeOO04azmW1pFa9lRPoPEYvkQWropHKUR8TVRn70UZIV55HskOwUNxbZI0+y6BtjIu1T1yayV12Eh/RWvLAknjLBDgzRhWvSKYT1D+2l+5xDHOXQxWVrYBPHh3I2XZvsNyE0030ajBoSDYiDxqSR60xqXVAseg0NdHIiN3m6qiODAjpESFQe9SZCFuFu0uMrX3mmxvHDHz5ad7Yi/F0GGpRNHbbBAX3BguOb3/xGderU/bWcTbIg+00zGJuw8P33EdiE9/sph1/Rdmln8uJpL5vac1iKyAiiCAf5ImARMnlIQ120XElfARmHDoI8R+VTGvKJSERqSqPf9D8K6pvmJnsNVMJ6S8c+dRW+IUEPxVK4YZ94gBGSPVjzOxyUxDiGZQt/5JIutKPqOORssh+CltNegMCYHSWdIMQHydMpQvrMAlAGnjsDAYiVewwWSEsgftP0N+nodD/0oaurO+64vbr55puqG2+8obr++uuqSy+9eI9kb7vto9Xx48eqT3ziruqRR85WX/3qM/Xx7W9/qy6XssMD/e6882SdP4znWnk5I48D+ddee81eedddd22tE/rcdtuttV6bMKVM1f0CgzhiMAKb8B4ssKrqwRhtVe22T/tsKwfSEimgKwe/RephPggCQlG6JgeBfBCH0iiPSEvkLrJBflMeiH5uskc3dKDO4WBImDTpTVrVtY3syS9chFOIpYhb9Q/LI728f8oKB0lgG9qSexyxHMoObUQeytwlmOx3Qc956w5jChjwviE4CBsiheDl4XLdh/wYTFx++aXVxRdfVB05crg6ceJ49alPfnLvuP+++6q77rpz7xD5QsS7HpQVyg7LvfvuT9REz+dyWWb44hef6oSUzsRhPATGxJOBKu0Rkmf5apdZo/FqWLYkSDEk1LJru33tTPbbY+ecVTUZ2XeBzQxA301rn/zkAzXp4t1fffV7HhAke/DgdTWhi5Qh/pCQx7gW2TOIYLDBLAMDj0su+bPq8OFD1elTp6qrrrpy4xT9mOTUheta7u2KJ4TOABSCZ9aFtjhkqn4tOKeoJ5479oun4VOUtXSZJvulW3Bm/XftKMdQX9PnfWS9+OLfVMeO3VGdP3du7/jsww9X995zT+3pX3/9wZr4IWDqxnH55ZfVU++Qc9+Dqfpwuh45DC6Q/5GP3FxP/X/6U5+qHn/ssT09nvz853sNnnLAvA/WS0mzLZ7MJg3ZcLcUPJagZ9da/RL0n0NHk/0cqBdU5rYd5ZgQDCF71k4PHbpxj2BD0m+7fuTs2YoBwTYHBN4mN45HPssFmwKYe3p4E0r97w9pw3jsu2y466+VUxqBcREw2Y+L5+qkDekoU4EDgbNO2idAkugcE20Ov5ldeOyxRzdWg7rusuFrYwErS9CnDfP0g566wJs3/itrJAVU12RfgBHnrEKfjjK1fkyn9iV7dGGTXjh9ngPRo8Ott95Se42b8GImA+IZO+Rgy7hOU+jUVQbr76zDe8NdbBn/XhoCJvulWSwzfbs6yqlUhezpkPuGO+88UbFengvJS48bbrih11MFeJkpXqyTgy1jG06hU1wGsz/spA833MV6+bcRWBoCJvulWSwzfeOOci71hujx13/99XpHvkg2l/OQOkBEY6/bDyl/KjtPoZPKYGo+3HDnFxdNZWWXMwUCJvspUC64DHWUc1dxiB5MzfJCnVxIHj3YnHfTTRd+SKMN1xTr9kMwbNNr7PjUOrHhjjL0hjs23/mxubGtaHk5IGCyz8EKC9YhdWfcFxq9YKdPejy2yy67NCuyZ3Pegw9+qo/6dZohTyD0FZqLLUN9U+kUbrijjJI33PE2Nuo49Fl03gIXvkWPF9fwRrgpA4/Ytb0dr02PWM/4LXZt+bri47cKxpjym7fc5RxM9jlbZwG6peqMh1YdT7fPW/QkF72HPBaXehaAZ/95JW/fwAY9vNAxQy62DOs0pk547E0b7sYsI9Q9l+uYmProFZNbnzwp0vAa2XDA0aeMKci+SQ/e5DdU1yY5qeJM9qmQXYncXDpK1lqHkB+b9Jg6T03ifeXzRr0hgxVmMoak79Mcc7FlqOsYOoUb7hgUQvhhGKOMUF5u10sle/SGQIeGuciet/kNnYUYWrdd0pvsd0HPeXu98W0KmCD6IY/f4Rnz+tq+ZJw6HYTTd60Y3Yc8fdAX/xxJbxedmJqnTbCZEczaNtztUkZfbLdNJ8JDRw483fhb55AM8UrDdHKYJib7mAzRjY/IkJ8Pw5BXsjhr6r4pH7K5r/SkCT/Ygl7yzpWOM/k2hTZPWR+vUZkxJrGelEecguoXTrsTx2/J5KyP2ZAvnumIMZVsytJHdhSXy9lkn4slFqoH/xQ5BIiSTh0Pvw9p4t3ddNPRLMieN/QdPHjtRhipF+QF0fep40aBUYJcbBmqNVQncGE/w5ANd0PLCPVLeS1SgswVIC30FaHq3fAhMYm0WO8mxMQUkyFpQrLnd0xuxMX5KBNdpB86QbyQtL5Ax2/SoJPilI/6tQXVS3VQOnRAvupPPLIhWcmP9QzJXpiSRkF1DUmadCFxK40GKTGmkkXdtpmNUP6UZ5N9SnRXIDunjhLPTc9GbyJDpsD5Z07tsfeRzwdw6BS7AvWB5PsOZrpktd3LyZbSsa9O2BPvnfRgNGSJo28Z0mmqszzYkNjisiGWprYTxsfEFJMhMoeSvcgvJEjkxPEi+7AOXIN5nDesG6TJ/2cYlE+Eq3sicA0e4vqJ7PU+/ZDokdFG0OgubFUvlR1jKl0UH9ZX9+Y+m+zntsDCy8+to2R9Fq8uXpdtghnd+5Bx6jQsJ/CBnq4A0UNmKQN4DCHJXw65iwAACMpJREFUlLogm8EbOrW9T4ABULjhDo++LW2Xrrm1YekqcoJAIMaYQGICUj7O8p7JIwIiPSEmQ+KGkr1kxp43shhoyLuFLGPSjsuqlYr+yFuPouuf5AcPDtUTG3aRvfSIdQnlM5sguaRH5lCyjwceofy5r032c1tg4eXn2FGi0ybPHtj56EwOm/T4ME/Xo18QGDMWqQO4MVDizHIBHrIe8WMQoKNt7XuIfsiQPM7suaAs3lyndXbq3NS+wENvuCNtn4Fdl25NZXSln/Ie5BESGrpCSAQRC8QbB9KQFoIXMY9J9qH8uGwRK/HhtdL1IXvyiWiVj7PKhbS55tCUfxfZg4WWN8gTBgZEDE6URjJDHeKBVYyp5Mkm0kXxOZxN9jlYYcE68A+SW+irEx+d4fn21J77Jvk889/lkUKGkHDqINzQhTIh0ZCAIVYOZhlIu8tBfSSPM7MWlAXpU7YGFNKJuqMPaRkEdG24G4pTWMbQvFOmh3DwytEXQooJKNRFAwSINSamKTx7ETXn2JvuQ/ZNnr1mOmKy7kP20kf4aeADZioLvcIQLoXEWMeYKp/JXkj4XBwCOXaUfXX64Q9/UH98ZhMZp7zPB3n4MM+mQJ26BgSb8ve53xe3PrLGSoNODAIYHHBA+H1mbYaUn2O9u/SHPCEtQkhIYR7iOQgxMTWRfUykMbkhJ8yn+zHxKp7BBmFbsid/PEhQPWKvGR2woeJDPdEhxAtC57fIX/fD38TF6VQvdCBIF+LDoPh4ySVMM9e1Pfu5kC+k3Bw7yr464UHecMPBWT17PsjDM/+bAh4t+qYMfXFLqYNkU1dtuOOcsu451Vv15wyJQUwiMeJEJnizBHm1IlfiNF2t9XTlETHpN2cCxATZgYPImzj9FnHFJKrZA+kiOQwy5CVvS/bykFUH9BThUj8F1QVdpUesZ0j25FMe1Z/05BfO1EMYasCkspVHMoSp9CGf8igul7PJPhdLLFQP/klyC3iAmgbu0g0PEf1Teu6bZLM5jw/zdAX0ZOq6dM+eeuK5y4vHo5+ifU1RRpd9u+5BKpAVOnJAJCI15eO3yJo0EI6IizRNxKQ4ydRvkT35ROakgbxjEpXsUD/SaHDA/W3JnrzUNdSHOOoalkddY91jPWOyD/VCV+omcqeupKdczS5wvy/Zkxd9cgwm+xytsiCd+OfILWj9t49ePN/Oc+6bSDnVfT7IA8F1BeqDZ586zGVLBjHUkQEN9QzxmEKnKcpIbbsS5UOauXrJTXijL2SvWY2mNHPGmeznRL+AsnPsKJnyxTvsE/j4DM+5pyLzTXKvuebqzlkIkeDY69RN2ExtS0g93HDXNHMxhU5TlNGEt+M2I8DMQK6ecqw9A5OcdTXZxxbz70EI5NpRQiJMA28KPN/OR2g2kXKK+3yIpws/dqbj7fZZkthUzz73u3Tpk79PGggdu1AvdvVD+F0DmSl0mqKMPtg4zYUIsGYPiebqLUtjSJ6lgJyDyT5n6yxAt1w7SggSQtm0sYv7POeegsw3yeQZ/xMnjjdaGRKckuhRIqUtwZnn9imD2YpNdhEoKXWasgyV5bMRmAsBk/1cyBdS7hSd8bZQQZjoxwtY5D3q5S2SiadJmk3EnOI+m/Mgvjiga5+BSpxv199j25J6gHe44U526Kvr2Do1lTtFGU3lOs4ITImAyX5KtAssK/eOEg8SsoE8dY6n93nOnefdUxB6l0w+xAMZxgGdmeKeOoxlSwhdew1YTul6O+CmOo6lU1c5U5TRVb7vGYEpEDDZT4FywWUspaOEQJnah3ziKWQ2AfG8excxp7h3ww03XKALTYUZiSaPP3UzGsuWWpdv2nA3tA5j6dRV7hRldJXve0ZgCgRM9lOgXHAZS+soWTeGTMPAc+5zfNu+DTtmHuLZh1DfVNdt+qQqr4/cKXSaoow+dXUaI5ASAZN9SnRXIHtpHSVED+GHgWlmnndP4b23yWRz3k03vfc601AXrk327yMyRfuaooz3a+QrIzAPAib7eXAvptSldZSsJ8c6M73Px2jaiDlFPB/g4UM8cWDgMcfmPPSIcYl1m+P3FDpNUcYc2LlMIxAiYLIP0fD1YASW1lGyXg+ZxoF68Nx7CmJvknnrrbdU3/72t/bUYMZBu9abNu3tJUx4kaMtp9BpijISms2ijUAvBEz2vWByojYEltZRyrOPN4/xMZopv23PB3i0UVDe/C671tvsMyQ+R1tOodMUZQyxg9MagRQImOxToLoimUvsKPGgQ++ZaXx2v0+5SQ/c9Mw5+sSbBudoQjnacgqdpihjDnu6TCMQImCyD9Hw9WAElthRypOG4HkUjzpAtocPH5pkGp8P7/ABHjx7yp/jmfomQ+doyyl0mqKMJrwdZwSmRMBkPyXaBZa11I4SrxrvHpKH9K+//mB10UUfqL17PPyUB578gQMfrAcZ4dv95m4eOdpyCp2mKGNu27p8I2CyL6QN0GH5MAZuA/m3gUK6HFdjYQiY7BdmsDZ16eT/8R9f9WEM3AYybgP8nzoYgTkQMNnPgXqCMk32Huh4sJd/GzDZJ+j8LLIXAib7XjDln8hkn39HbzK2jUz2+felpWposi/EsiZ7E4kHE/m3AZN9IR3uAqthsl+g0ZpUphPxYQzcBvJvA03/v44zAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkRMNmnRtjyjYARMAJGwAjMjIDJfmYDuHgjYASMgBEwAqkR+H9Ci3e+0YwjgQAAAABJRU5ErkJggg==\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2020.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the control for this experiment.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the carbon dioxide could be removed from the water used to irrigate the plant.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how a plastic bag placed around the plant pot prevents carbon dioxide from reaching the plant’s leaves.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A chromatograph was made of the photosynthetic pigments of a leaf of the plant.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Adapted from “Diversity of Photosynthetic Pigments” by Alexander F. Motten in Tested Studies for<br/>Laboratory Teaching, Volume 16 of the Association for Biology Laboratory Education and used by permission of the<br/>author.]</p>\n<p style=\"text-align: left;\"> </p>\n<p style=\"text-align: left;\">Outline what measurements would be taken to identify pigment X.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. same apparatus with carbon dioxide present;</p>\n<p>b. (control has) no sodium hydroxide/alkali;</p>\n<p>c. control irrigated with untreated water/water with CO<sub>2</sub>;</p>\n<p><em>“Same apparatus” alone does not get the mark</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. boiling (and cooling) the water;</p>\n<p>b. expose the water to a vacuum;</p>\n<p><em>Allow distillation of water</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. to prevent CO<sub>2</sub> from (organisms in) the soil affecting the experiment;</p>\n<p>b. the plastic bag is impermeable to gases;</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the distance travelled from the origin/O to the solvent front;</p>\n<p>b. the distance travelled by the pigment (from the origin O to X);</p>\n<p><em>Accept X to solvent front if the candidate indicates that this allows O to X to be calculated</em>.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates had difficulty describing the control for this experiment. The question states that the experiment was to investigate whether carbon dioxide is required for photosynthesis therefore it seems straightforward that the plant would be in similar conditions with and without carbon dioxide. Some candidates assumed that the control plant would have similar conditions and no light.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were many suggestions on how carbon dioxide could be removed from water despite boiling the water being an assessment statement.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The plastic bag caused considerable confusion with many candidates stating that it was to prevent carbon dioxide reaching the roots and being taken up the stem to the leaves for photosynthesis.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates managed to outline what measurements would be taken to identify the pigment on the chromatogram with many identifying the pigment although this was not required.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-3-4-separation-and-identification-of-photosynthetic-pigments-by-chromatography",
+      "c1-3-7-techniques-for-varying-concentrations-of-carbon-dioxide-light-intensity-or-temperature-experimentally-to-investigate-the-effects-of-limiting-factors-on-the-rate-of-photosynthesis",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows part of two neurons.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2020.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the amphipathic properties of phospholipids play a role in membrane structure.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the role of cholesterol in animal cell membranes.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe what happens to the membranes of an animal cell during mitosis.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of the structure shown.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>X indicates the movement of a structure in the neuron. Explain what events trigger this movement and what happens next.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. part hydrophobic/not attracted to water/non-polar <em><strong>AND</strong></em> part hydrophilic/attracted to water/polar;</p>\n<p>b. <span style=\"text-decoration: underline;\">bilayer</span> formed (formed naturally by phospholipids in water);</p>\n<p>c. <span style=\"text-decoration: underline;\">hydrophilic</span> heads/parts face outwards and <span style=\"text-decoration: underline;\">hydrophobic</span> tails/parts face inwards.</p>\n<p><em>Do not allow water loving/hating in mpa or mpc</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. controls/regulates/reduces fluidity of membrane / prevents crystallization of phospholipids;</p>\n<p>b. reduces permeability to some substances.</p>\n<p><em>Do not accept ‘stabilizes membrane’</em>.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. nuclear membrane breaks down/disappears (in prophase/at start of mitosis);</p>\n<p>b. nuclear membrane reforms around two new nuclei (in telophase/at end of mitosis);</p>\n<p>c. plasma membrane pulled inwards at equator / cleavage furrow formed;</p>\n<p>d. membrane pinches apart to form two cells / cytoplasm divided / cytokinesis.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>synapse/synaptic</p>\n<p><em>Allow any answer including either of these terms unless out of context</em>.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. depolarization of pre-synaptic membrane / action potential/nerve impulse arrives;</p>\n<p>b. uptake of calcium / calcium ions diffuse in / calcium channels open;</p>\n<p>c. structures containing neurotransmitter/vesicles move to/fuse with membrane;</p>\n<p>d. <span style=\"text-decoration: underline;\">neurotransmitter</span>/<span style=\"text-decoration: underline;\">acetylcholine</span> released by <span style=\"text-decoration: underline;\">exocytosis</span> into cleft/binds to postsynaptic membrane/receptors;</p>\n<p><em>Must see exocytosis</em>.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Knowledge of the amphipathic properties of phospholipids was generally good.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Half of candidates were able to state the role of cholesterol in animal cell membranes.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The mark scheme allowed candidates to score marks either for describing changes to the nuclear membrane or the role that the plasma membrane plays in cytokinesis. The best answers referred to both. Many of the candidates who wrote about the nuclear membrane had rather sketchy understanding of how it breaks up into small vesicles at the end of prophase and then reforms around both daughter nuclei in telophase.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>As pointed out on some G2 forms, the question here was rather ambiguous as it wasn’t 100 % clear what structure was referred to, so any answer indicating that the candidate knew the diagram showed a synapse was accepted.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered. Some suggested that the vesicle is released into the synaptic cleft, instead of neurotransmitter being released by exocytosis.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "b2-1-10-fluid-mosaic-model-of-membrane-structure",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-2-5-synapses-as-junctions-between-neurons-and-between-neurons-and-effector-cells",
+      "c2-2-6-release-of-neurotransmitters-from-a-presynaptic-membrane",
+      "c2-2-7-generation-of-an-excitatory-postsynaptic-potential",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>The electron micrograph shows part of a cell including a mitochondrion.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Used with permission of McGraw-Hill Education, from <em>Harrison’s Principles of Internal Medicine</em>,<br/>J L Jameson <em>et al</em>., 16th edition, 2004; permission conveyed through Copyright Clearance Center, Inc.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the structures labelled X and Y are adapted to carry out the function of the mitochondrion.</p>\n<p>X:</p>\n<p> </p>\n<p>Y:</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how ATP is generated in mitochondria by chemiosmosis.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>X: large/increased SA area for ATP production/electron transport/oxidative phosphorylation/proton pumping<br/><em><strong>OR</strong></em><br/>X: small/narrow intermembrane space for generating proton gradient (rapidly/steeply);</p>\n<p>Y: contains enzymes for Krebs cycle/link reaction;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. protons pumped across inner membrane of mitochondria/into intermembrane space;</p>\n<p>b. using energy released by flow of electrons/by electron transport/by electron carriers;</p>\n<p>c. proton gradient established/maintained / proton motive force generated;</p>\n<p>d. protons pass/diffuse back through inner membrane/membrane of cristae/to matrix;</p>\n<p>e. through <span style=\"text-decoration: underline;\">ATP synthase</span>;</p>\n<p>f. ATP production coupled to flow of protons / ATP from ADP and Pi using energy from protons;</p>\n<p><em>Marks can be awarded in an annotated diagram</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The mean mark for this question was only 0.6 – less than half marks. Many students did not recognise they had to describe adaptations so, for example, the large surface area of the cristae or the small volume of the intermembrane space had to be included together with the function carried out. Weaker candidates had forgotten basic ideas of what happens in the mitochondrion.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was answered more successfully by most candidates and there were some impressively detailed and accurate answers.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-10-cell-types-and-cell-structures-viewed-in-light-and-electron-micrographs",
+      "a2-2-cell-structure",
+      "b2-2-4-adaptations-of-the-mitochondrion-for-production-of-atp-by-aerobic-cell-respiration",
+      "b2-2-organelles-and-compartmentalization",
+      "c1-2-15-chemiosmosis-and-the-synthesis-of-atp-in-the-mitochondrion",
+      "c1-2-cell-respiration",
+      "c2-1-5-localized-and-distant-effects-of-signalling-molecules",
+      "c2-1-7-initiation-of-signal-transduction-pathways-by-receptors",
+      "c2-1-8-transmembrane-receptors-for-neurotransmitters-and-changes-to-membrane-potential",
+      "c2-1-9-transmembrane-receptors-that-activate-g-proteins",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>Proteins are an important group of chemicals found in all living organisms.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a molecular diagram to show the formation of a peptide bond.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how proteins are digested and the products of protein digestion absorbed in humans.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how polypeptides are produced by the process of translation.</p>\n<div class=\"marks\">[8]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. <span style=\"text-decoration: underline;\">two</span> amino acids correctly drawn;</p>\n<p>b. removal/production of H<sub>2</sub>O molecule shown;</p>\n<p>c. peptide bond labelled between C of C=O and N of N-H;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Accept specific examples of amino acids correctly drawn for example glycine with H instead of R.</em></p>\n<p><em>mpc can be awarded if the peptide bond is shown as in the dipeptide diagram but there are errors elsewhere</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. digested by peptidases/proteases;</p>\n<p>b. pepsin/pepsinogen/<span style=\"text-decoration: underline;\">endo</span>peptidase secreted by stomach (lining)/digests proteins in stomach;</p>\n<p>c. pancreas secretes/pancreatic juice contains endopeptidase/trypsin/peptidase;</p>\n<p>d. <span style=\"text-decoration: underline;\">endo</span>peptidase digest proteins/polypeptides to shorter chains of amino acids/shorter peptides;</p>\n<p>e. amino acids absorbed by active uptake/transport;</p>\n<p>f. in small intestine/ileum;</p>\n<p>g. villi increase the surface area for absorption;</p>\n<p>h. absorbed into bloodstream/into capillaries;</p>\n<p><em>Peptidase can be accepted instead of endopeptidase in mpc, but not in mpb or mpd</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mRNA is translated;</p>\n<p>b. mRNA binds with ribosome/with small subunit of ribosome;</p>\n<p>c. tRNA-activating enzymes/aminoacyl tRNA synthetases attach specific amino acid to tRNA;</p>\n<p>d. <span style=\"text-decoration: underline;\">anticodon</span> of 3 bases/nucleotides on tRNA;</p>\n<p>e. start codon/AUG on mRNA;</p>\n<p>f. tRNA carrying first amino acid/methionine binds to P/peptidyl site (when large subunit binds);</p>\n<p>g. anticodon (on tRNA) binds to codon (on mRNA);</p>\n<p>h. <span style=\"text-decoration: underline;\">complementary</span> <span style=\"text-decoration: underline;\">base</span> <span style=\"text-decoration: underline;\">pairing</span> (between codon and anticodon);</p>\n<p>i. tRNA for next codon binds to A site/amino acyl site;</p>\n<p>j. peptide bond forms between amino acids (on tRNAs) at P and A sites;</p>\n<p>k. ribosome moves along mRNA to next codon/by three bases/in 5’ to 3’ direction;</p>\n<p>l. tRNA released from E/exit site;</p>\n<p>m. process/cycle repeats to elongate the polypeptide/until stop codon is reached;</p>\n<p>n. release of polypeptide and mRNA/disassembly of ribosome complex at <span style=\"text-decoration: underline;\">stop codon</span>;</p>\n<p><em>Marks can be awarded in an annotated diagram</em>.</p>\n<p><em>Accept UAA, UAG or UGA instead of stop codon in mpm or mpn but do not accept terminator sequence</em>.</p>\n<p><em>Do not award mpk for the ribosome moving to the start codon in a 5’ to 3’ direction</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mostly full marks were gained although some had the correct diagrams but failed to label the peptide bond.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Nearly all candidates had some knowledge of protein digestion and many scored 3 or 4 of the 4-mark total. The relatively low mark allocation reflects that the program does not require detailed study of protein digestion or absorption. Few students referred to endopeptidases, which are stipulated in guidance for sub-topic 6.1 and also few stated that villi in the small intestine increase the surface area for absorption.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Explanations of translation were generally good, with many of the significant events included. Fewer candidates than in the past included unnecessary information about transcription. A common omission was the presence of a three-base (or nucleotide) anticodon on tRNA and a frequent small error was the idea that during initiation the first tRNA binds to the A site and then moves to the P site, rather than binding to the P site immediately.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-proteins",
+      "d1-2-10-stepwise-movement-of-the-ribosome-along-mrna-and-linkage-of-amino-acids-by-peptide-bonding-to-the-growing-polypeptide-chain",
+      "d1-2-14-non-coding-sequences-in-dna-do-not-code-for-polypeptides",
+      "d1-2-5-translation-as-the-synthesis-of-polypeptides-from-mrna",
+      "d1-2-protein-synthesis"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p>Water is the medium of life.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how hydrogen bonds form in water.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the processes that cause water to move from the roots of plants to their leaves.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of the kidney in osmoregulation.</p>\n<div class=\"marks\">[8]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. water (molecules) are polar/dipolar/have partially positive and negative poles/have δ+ and δ-;</p>\n<p>b. attraction/bonding between positive and negative (poles);</p>\n<p>c. hydrogen bond formed between hydrogen and oxygen; <em>Reject if H and O in same molecule.</em></p>\n<p>d. bond/attraction between different water molecules/intermolecular;</p>\n<p><em>Marks can be awarded in an annotated diagram.</em></p>\n<p><em> Reject answers stating or implying that there are whole positive or negative charges for mpa</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. water moved/transported in <span style=\"text-decoration: underline;\">xylem</span> <span style=\"text-decoration: underline;\">vessels</span>;</p>\n<p>b. transported under tension/suction/pulled up (in xylem vessels);</p>\n<p>c. transpiration/loss of water (vapour) generates pulling forces/low pressure/tension;</p>\n<p>d. tension/pull generated when water evaporates from cell walls (in mesophyll);</p>\n<p>e. transpiration is loss of water <span style=\"text-decoration: underline;\">vapour</span> from leaf (surface)/stomata;</p>\n<p>f. <span style=\"text-decoration: underline;\">cohesivity</span>/<span style=\"text-decoration: underline;\">cohesion</span> in water due to hydrogen bonding/attractions between water molecules;</p>\n<p>g. cohesion/WTTE so chain/column of water (molecules) doesn’t break/remains continuous;</p>\n<p>h. transpiration stream is a column of/flow of water in xylem from roots to leaves;</p>\n<p><em>Do not award marks for absorption of water by roots</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. osmoregulation is regulation of water and solute/salt balance/solute concentrations;</p>\n<p>b. <span style=\"text-decoration: underline;\">nephron</span> (is the functional unit of the kidney/osmoregulates);</p>\n<p>c. ultrafiltration in glomerulus / glomerular filtrate collected by Bowman’s capsule;</p>\n<p>d. loop of Henle establishes/maintains hypertonic conditions in medulla;</p>\n<p>e. osmosis/reabsorption of water (from filtrate) in the collecting duct;</p>\n<p>f. brain/hypothalamus monitors blood solute concentration / pituitary secretes ADH;</p>\n<p>g. ADH secreted when solute concentration of blood is too high/hypertonic/when dehydrated;</p>\n<p>h. ADH increases permeability of collecting duct to water;</p>\n<p>i. ADH causes more aquaporins (in membranes of collecting duct wall cells);</p>\n<p>j. more water reabsorbed resulting in more concentrated/hypertonic urine/less volume of urine;</p>\n<p>k. less/no ADH secreted when solute concentration (of blood) is too low/hypotonic;</p>\n<p>l. less water reabsorbed resulting in dilute/hypotonic urine/large volume of urine;</p>\n<p><em>Reject ‘water balance’ and ‘water concentration’ for mpa</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers were mostly good here, with many candidates scoring full marks. A very common misconception was that hydrogen bonds are strong – a single hydrogen bond is a weak interaction and it is only because there are many hydrogen bonds in water that they collectively exert large cohesive forces. A few candidates thought that hydrogen bonds were within rather than between water molecules.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was answered quite well. There were some traditional areas of confusion, with cohesion and adhesion either muddled up or treated as the same thing. Some candidates thought high pressure caused by roots and low pressure caused by leaves could exist at the same time in xylem. Few responses referred to water being transported in the vessels of xylem. In some answers water was said to evaporate from stomata, instead of the moist, blotting-paper-like cells walls of the mesophyll. Some answers included details of how water is absorbed into roots, which was outside the scope of the question. Despite these common faults, many candidates described clearly how tension is generated in xylem and how cohesive columns of water can be pulled up to leaves.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There was some excellent knowledge of kidney function, frequently going way beyond the question’s requirements. In some cases, candidates just described all processes occurring in the kidney instead of actually answering the question. This generally led to the loss of the extra clarity mark.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-1-2-hydrogen-bonds-as-a-consequence-of-the-polar-covalent-bonds-within-water-molecules",
+      "a1-1-water",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-transport",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>A study was conducted to look at the short-term effects of a change in diet on the risk of disease in young adults. The table shows data on the habitual diet of the participants as well as the study diet followed for two weeks.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Horowitz, J.F., Ortega, J.F., Hinko, A., Li, M., Nelson, R.K. and Mora-Rodriguez, R.,<br/>2018. Changes in markers for cardio-metabolic disease risk after only 1-2 weeks of a high saturated fat diet in<br/>overweight adults. <em>PLoS ONE</em>, 13(6), e0198372.]</p>\n</div><div class=\"specification\">\n<p>Total blood plasma cholesterol levels were measured before the study began and once a week after starting the study diet. Mean results are shown in the bar chart, including the standard deviation.</p>\n<p style=\"text-align: center;\"><img 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KAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCLwiogLQPFV+Xh0uBc5mHiy5z83Di5DSXOV6jtzsxOnUuLwraiS8wECeC4zAI1AR0ETstpxaVtQuzGxcnjeq5uOgl/dGsVmZ6Hb0KFwzEdH6wFQJHEXArui4Fzo3LUaJeMdhFLwxETnT0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IcqYwJcvfx7evPnl1QwfHx8Pnz798eInpz9+/HB4eHh4ERvHqyjo8f7974fv3/9+EbP0Qsc5LS4Fzo2Lk0b1XFz0wkDUqsyvo1dhg4GYzxH2bIBANP8pA/Hu3W8HPX7+/O/pTGQc9Prt218PMhdaZBRUDO7uPj+frQyEtrVG4zlgYkXxTotLgXPj4qRRPRcXvTAQtSrz6+hV2GAg5nOEPcYEZADU6NX4dVehNRBhDO7vv704ix8//nkyBzIeWnSHQoaiXmQcVCDaY+uYdt2tUboUODcurW4ur130wkDkMgK9CicMRC5fiDIjINOgh5YpAzE3Xd2N0MUfdxxkHmKc+pi57XVMve7WKF0KnBuXWjOndRe9MBC5rECvwgkDkcsXoswI6E5CLMcYCN1V0MWvZ93F0HqYiRhPz/HxR72tt65xnBaXAufGxUmjei4uemEgalXm19GrsMFAzOcIezZC4BgDEd+B0KktGYj2Y5EeDrdG6VLg3Lj0NBy5z0UvDEQuC9CrcMJA5PKFKGMCWQMRcfGlymMMhArG0uPr178OLg+XAqd5uDBxnoeLXmEgnFk5zG0Peq1R0jEQa1BkjKEEwhj0JqGPKXTR1/88c8lA6G5FdtHYTotLgXPj4qRRPRcXvcJA1HNj/TUB9CpMMBCvc4MtGyOwZCC0Xxd8bR7iFOe+LDm3PY5rn90apUuBc+PS6uby2kUvDEQuI9CrcMJA5PKFKGMCcwZCH1XICOi7DPGxRXsavX/GGf/Usz1m6rVbo3QpcG5cprRz2OaiFwYilw3oVThhIHL5QpQxgSkDod9ykHHomQedUvxehIxELPp9CR2njziyi1ujdClwblyyel47zkUvDEROefQqnDAQuXwhypjAlIGI7zzoQp966JhY4tcsI07ffZj6uCPip551rNOi+agZjH64cXHSqJ6Li14YiFqV+XX0KmwwEPM5wh4IpAm4NUqXAufGJS3olQNd9MJA5IRHr8IJA5HLF6Ig0CXg1ihdCpwbl66IA3e66IWByCUBehVOGIhcvhAFgS4Bt0bpUuDcuHRFHLjTRS8MRC4J0KtwwkDk8oUoCHQJuDVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9EQaBLwK1RuhQ4Ny5dEQfudNELA5FLAvQqnDAQuXwhCgJdAm6N0qXAuXHpijhwp4teGIhcEqBX4YSByOULURDoEnBrlC4Fzo1LV8SBO130wkDkkgC9CicMRC5fiIJAl4Bbo3QpcG5cuiIO3OmiFwYilwToVThhIHL5QhQEugTcGqVLgXPj0hVx4E4XvTAQuSRAr8IJA5HLF6Ig0CXg1ihdCpwbl66IA3e66IWByCUBehVOGIhcvhAFgS4Bt0bpUuDcuHRFHLjTRS8MRC4J0KtwwkDk8oUoCLwgoALSPlR8XR4uBc5lHi66zM3DiZPTXOZ4jd7uxOjUubwoaCe+wECcCI7DIFAT0EXstJxaVNYuzG5cnDSq5+Kil/RHs1qZ6XX0KlwwENP5wVYIHEXArei6FDg3LkeJesVgF70wEDnR0atwwkDk8oUoCHQJuDVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9EQaBLwK1RuhQ4Ny5dEQfudNELA5FLAvQqnDAQuXwhCgJdAm6N0qXAuXHpijhwp4teGIhcEqBX4YSByOULURDoEnBrlC4Fzo1LV8SBO130wkDkkgC9CicMRC5fiIJAl4Bbo3QpcG5cuiIO3OmiFwYilwToVThhIHL5QhQEugTcGqVLgXPj0hVx4E4XvTAQuSRAr8IJA5HLF6Ig0CXg1ihdCpwbl66IA3e66IWByCUBehVOGIhcvhAFgS4Bt0bpUuDcuHRFHLjTRS8MRC4J0KtwwkDk8oUoCHQJuDVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9EmRP48eOfp5/g/fnzv1cz/fLlz8ObN788/78r3r///fD9+98v4vT63bvfnmPevv31oOOyi1ujdClwblyyel47zkUvDEROefQqnDAQuXwhypiATEMYhNZAyBjoYr+7+/x8BjIQ2vbw8PC07fHx8el4bde6FpkHxdzff3s+rreiWKdF81EzGP1w4+KkUT0XF70wELUq8+voVdhgIOZzhD0bICBjoMYfDb81EJ8+/XHQ3YR6kXFQAQhzoGe9DkMRsTpOx2cWHe+0uBQ4Ny5OGtVzcdELA1GrMr+OXoUNBmI+R9hjTkCmQR876K7BnIGQCfj48cOrM6m3yyToDka7zG1v4/TarVG6FDg3LlPaOWxz0QsDkcsG9CqcMBC5fCHKkEB9t2HKQMhY6EKvP76I05Dx0ENLvR779azjdHx8rFHva9cV57S4FDg3Lk4a1XNx0QsDUasyv45ehQ0GYj5H2LMhAqcYiLjrsGQgZFRUMJYeX7/+dXB5uBQ4zcOFifM8XPQKA+HMymFue9BrjfKOgViDImMMJ3BpA7F0giooTotLgXPj4qRRPRcXvcJA1HNj/TUB9CpMMBCvc4MtGyRwioHgI4zL/ysNDETuYqIh5Ti5RKFXUQID4ZKRzOMsAlMGQgPWX5as36DePvdlybnt9Tix7tYoXQqcG5fQy+3ZRS/uQOQyA70KJwxELl+IMicwZyBkAmQW6iX+GaeO0dL7Z5z6J6KZxa1RuhQ4Ny4ZLUfEuOiFgcipj16FEwYily9EmROYMxDxQ1IyErHIFOgLlPGvK/Ss11M/JNX+YmWM0T67NUqXAufGpdXN5bWLXhiIXEagV+GEgcjlC1HmBOYMhKatfTIIuuj10HcfWmOguxDaHjGKjzsUmVPXcU6L5qNmMPrhxsVJo3ouLnphIGpV5tfRq7DBQMznCHsgkCbg1ihdCpwbl7SgVw500QsDkRMevQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBF4QUAFpHyq+Lg+XAucyDxdd5ubhxMlpLnO8Rm93YnTqXF4UtBNfYCBOBMdhEKgJ6CJ2Wk4tKmsXZjcuThrVc3HRS/qjWa3M9Dp6FS4YiOn8YCsEjiLgVnRdCpwbl6NEvWKwi14YiJzo6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QtXECX778eXjz5pfn/wHWp09/vDqj79//Prx799tzzNu3vx50XGZxa5QuBc6NS0bLETEuemEgcuqjV+GEgcjlC1EbJiAToAv+x49/ns9CRuH9+9+fXz8+Pj4ZDG3TupY47v7+23Pc3Ipbo3QpcG5c5vQbvd1FLwxELhPQq3DCQOTyhagNE9CdBBmGeglz8PDw8LRZJkFFIV5HrI6dulsR++PZrVG6FDg3LqGX27OLXhiIXGagV+GEgcjlC1EbJtAzED9//vd0ZjIJ+oijXea2t3FujdKlwLlxaXVzee2iFwYilxHoVThhIHL5QtSGCcTdhd5HGLpD0d6l0Cnf3X1+ujMRH2vMYXBrlC4Fzo3LnH6jt7vohYHIZQJ6FU4YiFy+ELVxAh8/fnj+cqQu/vZuw5KB0DFLj69f/zq4PFwKnObhwsR5Hi56hYFwZuUwtz3otUZJx0CsQZExrAnIPOhjjPr7DfpoQtvizsKSgYiPOuZOVAXFaXEpcG5cnDSq5+KiVxiIem6svyaAXoUJBuJ1brBlRwT0sYUu9vafY8pM1NuXDEQYjTk0GstpcSlwblycNKrn4qIXBqJWZX4dvQobDMR8jrBnBwT02w662PXcLvoYQ3cntMx9WXJuezuWW6N0KXBuXFrdXF676IWByGUEehVOGIhcvhC1UQLtnYb6NGQg4s5EfNGy/phDsfqYo/69iPr4et2tUboUODcutWZO6y56YSByWYFehRMGIpcvRG2YgO4i6COK+i5E+x0IfUQhQzH1Q1L1cXMY3BqlS4Fz4zKn3+jtLnphIHKZgF6FEwYily9EbZyA7jTIIOjC10MfXbR3G3QXQkYjYuo7FEunr2OcFs1HzWD0w42Lk0b1XFz0wkDUqsyvo1dhg4GYzxH2QCBNwK1RuhQ4Ny5pQa8c6KIXBiInPHoVTpMGQrds2383r1u77a1cxeivtDUWjRNfaFtjPI2hvzA176V/grfW+2mcY5i0t9XXnMcaY0lvXSihe7yO7w0c+x7SQzq3f/kfO45jvFujdClwblwcc0dzctELA5HLEPQqnF4ZiPjlPX1GHIs+Hw5DUTePY5pljDX3fAkDoblKaEcDEc10jofD9jAMaxiI+iMEDMTl1XUpcJoHyzIBF70wEMtaKQK9CqcXBiK+iV6bhBqn/mJWo49/E4+BqOmU9SwTsc58u//1O1xvy9oGQsZBFx4G4vIauhQ4zYNlmYCLXhiIZa0UgV6F0wsDoX+yJoMwt+gved2hiAYQzTL+0hdUHd8aEB2nZqn9euh92pj2DoTeQ+PXx6jp1osaXD1u/d5xJyWO18WvhvgAACAASURBVFix6L01h3pfmCLF6FiNpbswERN/hetY7YvtGjd46NhgEu8196x5t+dTx8b71wx0jN5Lc4j3l6lr77DU+3WewULbe0vEaWyNG+cf5x6GYmmc3nto7JpXL3ZL+3ReTovmo2Yw+uHGxUmjei4uemEgalXm19GrsHk2ECrqgqImlV2iuemYaMDRhKLpaFw1wzomGlzdiBSj8bRoLDU+NbFoNnFMNF3FRJON+bYx8bpusLFNz1o0vt5Hj1jiHIJFnEs01JhDHKu5xvlnDYTmHucW71s/a7/0qOcZ22Jeek/NW+8fi+aouJiznuO4GCti6+eY99Rx9bZ6TvXxWhcX7W8fwUsx2tc773bMrbzWeTktms9o80AzymeEi15oltMMvQqnZwOhJisoakDZJQxE3RC0rnHUhLVEY4oGG2O329XktE1LNOq68cdY0SzV1PQ+dXOKseM5zEKME3OL94m4OPdosGEg6rEjJs6rPTa2x3nF/qlnzb02LFMx4hHnGvtlHLS9XuIcdW5xfjGXiIvzifOL7fEc59buj+OyBiLG6z1LM81zb4vOy2nRfDAQTor05+KiFwair1PsRa9C4mwD0TY0GQXBjSam/fEXc8DXc/y1Gk1acdHY1Tjb5qljolnq/2+g91GMxtb2aHL1e0R8GIj2PevYep7ROOO49r3r47RezzdjIGSQ2mbdjlnziH1TY9fnGOdX/2+rdezc/w8ixo0x5o4LtnqWtktzj3GnnnU8BmKKzLrbXAqc5sGyTMBFLwzEslaKQK/C6dlAxF+vU81+DulUQ6sNRKyHMajHaZtR3TC1LoHmHtHQNGc1+zpe7xUNKhpjGIF4PTdu3BWYMhBT2+J8dJzmoGWKScTFswxH26xjXzzXPGLb1NhxTjrHej2O0bP26Zy1f2pZOi54t5pNjXWr28TXadF8uAPhpEh/Li56YSD6OsVe9Cokng2EXtaNMEC1z2o20VCmGlqYBjVcLWqEU6Yk/lqOseqGqQYbzbx9/7nXet9o8nFs2xjb95wbK8YJ46G4GGuq8dfznWJSv4+OV/zSUvOI2KmxY16a69z56T2V8IqdWmKM9tziuNAIAzFFr2wTX6fFpcC5cXHSqJ6Li14YiFqV+XX0KmxeGIilBtE21qmG1hqIiNH2etF2iRB3C+qGGV8EbI/R+yuu3d6Oqxgt0RjDCMRdFo1TLxpPx8T29jwVG3/FR0wcH9vjuyNxvrG/fdacIrbdV7+uecT2qbHrc5w7v4jR89SydBwG4jU15W77cPiLP+bgUuBc5hFcXJ+dODnNBb2W/yXVqXq9rmrHb3lhIHR4NE81uWjUetZdBE20bkJTDU2xiotGq+akZqjjY7yphlY3zPoYrWuJv67j/afMjrZpnGjQcYy2xzjaV59HnJvuCsT8gkEYj8Aax2pcLRpTdzvqY6eYxPF6Vnw05Hp7u17ziH1TYwfLmKvmqGPjPYJJfc4xXv3cO64ea2mcesxbWhcXp0XzcSi+blycNKrn4qKXcgbNamWm19GrcHllILRZDTIMg0DpodfRSALpVENrDYRi1dzq8dRwwwjEWG3DVHPW+PH+2t8eo3mqIUeMnuuYMAfaHh9r6P0UoznEcZpbGAztnzMQcazmEsdqjvWxU0ziHBWnYzNLy0PHTI2tc9FcwkAoLrZpu84zzqfVr51He1y8juP0HOc99az4W13Ew2nRfDAQTor05+KiFwair1PsRa9CYtJABCSe90Eg7sS033HYx9l5nAUGYvpWqxsXj2x5PQsa0msmzlvQq6iDgXDO0iPnFl961McRseiuh+6+6C4Ly+UIuDVKlwLnxuVyGXDeyC56cQcipyN6FU4YiFy+bCZq6mOd+D7KZk5igxN1a5QuBc6Ni2tqueiFgchlCHoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+ULUhgnoF0nrXzXVr3PGr2vGael1/aumU7+WGrFTz26N0qXAuXGZ0s5hm4teGIhcNqBX4YSByOULURslIPMgM1D/uJbWVQDilzkVo58O149taV1L/Iy3flcjs7g1SpcC58Ylo+WIGBe9MBA59dGrcMJA5PKFqI0S0I9oTf3/R7QtTEX81Hf9/zTR6bbGo4fArVG6FDg3Lj0NR+5z0QsDkcsC9CqcMBC5fCFqowQyJkBGYspkzG2fQuHWKF0KnBuXKe0ctrnohYHIZQN6FU4YiFy+ELVRAjIG+jgiPpLQha/vOtTfgdBrPdol/i+m8bFGu79+7dYoXQqcG5daM6d1F70wELmsQK/CCQORyxeiNkhAH0noQpeJqP9nYmEm4jsQSwZC/6t0jbP0+Pr1r4PLw6XAaR4uTJzn4aJXGAhnVg5z24Nea5R0DMQaFBnDkkA0fn2M0S7aFqYiYyDa49vXKihOi0uBc+PipFE9Fxe9wkDUc2P9NQH0KkwwEK9zgy07IaCPHnSh659wtou2xfcelgwEH2H8e1BjOeWBgWgzb/o1DWmai+tW9CrKYCBcM5R5rUKg/fgiBpWBiDsTc1+WnNseY9TPbo3SpcC5cak1c1p30Ys7ELmsQK/CCQORyxeiNkog7jS0dxHqf53R+2ec8THH0um7NUqXAufGZUnHUftd9MJA5DIAvQonDEQuX4jaKAF9kVJ3IXQ3IRZ9iVLb4ncfZC7iTkUYjfiiZf2vNeL4qWe3RulS4Ny4TGnnsM1FLwxELhvQq3DCQOTyhagNE5BR0J0EXfR6aF1fsKwX3YXQdyEiRoZCJiK76DinRfM55TsLax/jxsVJo3ouLnphIGpV5tfRq7DBQMznCHsgkCbg1ihdCpwbl7SgVw500QsDkRMevQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBF4QUAFpHyq+Lg+XAucyDxdd5ubhxMlpLnO8Rm93YnTqXF4UtBNfYCBOBMdhEKgJ6CJ2Wk4tKmsXZjcuThrVc3HRS/qjWa3M9Dp6FS4YiOn8YCsEjiLgVnRdCpwbl6NEvWKwi14YiJzo6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QtRMC37///fRb/3quF71+9+635/9B1tu3vx6+fPmzDumuuzVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9E7YDA4+PjQcZAF39tILT9zZtfDu/f/37QuhaZB8Xd339LnblinRaXAufGxUmjei4uemEgalXm19GrsMFAzOcIe3ZGQAZBRkEXf20gZBK07eHh4cUZy2x8+vTHi21zL3S80+JS4Ny4OGlUz8VFLwxErcr8OnoVNhiI+Rxhz44I6I6CzEPcWagNhEyC9rXL3PY2Tq/dGqVLgXPjMqWdwzYXvTAQuWxAr8IJA5HLF6I2TEB3FmQQdKdBxkEXf20g9N0HPdrl7u7zU6w+1tAxS4+vX/86uDxcCpzm4cLEeR4ueoWBcGblMLc96NXWu1NeYyBOocYxmyIgc6CPL7ScYiB+/vxv8XxVUJwWlwLnxsVJo3ouLnqFgajnxvprAuhVmGAgXucGW3ZEQB9D6LsM8eVIDMS/BzWJaz0wELmLiYaU4+QShV5FCQyES0Yyj9UJ/Pjxz9PHDnqO5RQDEeYjxph6dmuULgXOjcuUdg7bXPTiDkQuG9CrcMJA5PKFqA0S+PjxQ/d7C/G9h7kvS85tn0Lh1ihdCpwblyntHLa56IWByGUDehVOGIhcvhC1EwJTdyB6/4wzvjuxdPpujdKlwLlxWdJx1H4XvTAQuQxAr8IJA5HLF6J2QmDKQOgjCv0rjakfklJ8ZnFrlC4Fzo1LRssRMS56YSBy6qNX4YSByOULUTshMGUgdGq6C6GPNFQY9IjfjMieto5xWlwKnBsXJ43qubjohYGoVZlfR6/CBgMxnyPsgUCagFujdClwblzSgl450EUvDEROePQqnDAQuXwhCgJdAm6N0qXAuXHpijhwp4teGIhcEqBX4YSByOULURDoEnBrlC4Fzo1LV8SBO130wkDkkgC9CicMRC5fiIJAl4Bbo3QpcG5cuiIO3OmiFwYilwToVThhIHL5QhQEugTcGqVLgXPj0hVx4E4XvTAQuSRAr8IJA5HLF6Ig0CXg1ihdCpwbl66IA3e66IWByCUBehVOGIhcvhAFgS4Bt0bpUuDcuHRFHLjTRS8MRC4J0KtwwkDk8oUoCHQJuDVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9EQaBLwK1RuhQ4Ny5dEQfudNELA5FLAvQqnDAQuXwhCgJdAm6N0qXAuXHpijhwp4teGIhcEqBX4YSByOULURB4QUAFpH2o+Lo8XAqcyzxcdJmbhxMnp7nM8Rq93YnRqXN5UdBOfIGBOBEch0GgJqCL2Gk5taisXZjduDhpVM/FRS/pj2a1MtPr6FW4YCCm84OtEDiKgFvRdSlwblyOEvWKwS56YSByoqNX4YSByOULURDoEnBrlC4Fzo1LV8SBO130wkDkkgC9CicMRC5fiIJAl4Bbo3QpcG5cuiIO3OmiFwYilwToVThhIHL5QhQEugTcGqVLgXPj0hVx4E4XvTAQuSRAr8IJA5HLF6Ig0CXg1ihdCpwbl66IA3e66IWByCUBehVOGIhcvhAFgS4Bt0bpUuDcuHRFHLjTRS8MRC4J0KtwwkDk8oUoCHQJuDVKlwLnxqUr4sCdLnphIHJJgF6FEwYily9EQaBLwK1RuhQ4Ny5dEQfudNELA5FLAvQqnDAQuXwhCgJdAm6N0qXAuXHpijhwp4teGIhcEqBX4YSByOULURDoEnBrlC4Fzo1LV8SBO130wkDkkgC9CicMRC5fiNoggcfHx8OnT3+8+H9WfPz44fDw8PDibL58+fPw5s0vz3Hv3/9++P797xcxSy/cGqVLgXPjsqTjqP0uemEgchmAXoUTBiKXL0RtkMC7d78d9Pj587+n2cs46PXbt78eZC60yCioGNzdfX4+QxkIbWuNxnPAxIrinRaXAufGxUmjei4uemEgalXm19GrsMFAzOcIezZMIIzB/f23F2fx48c/T+ZAdx206A6FDEW9yDioQLTH1jHtulujdClwblxa3Vxeu+iFgchlBHoVThiIXL4QtRMCuhuhiz/uOMg86GONdpnb3sbFa7dG6VLg3LiEXm7PLnphIHKZgV6FEwYily9E7YSA7iro4tezPsbQepiJ+hTj4496W29d4zgtLgXOjYuTRvVcXPTCQNSqzK+jV2GDgZjPEfbskEB8B0KntmQg9MXKWFQwlh5fv/51cHm4FDjNw4WJ8zxc9AoD4czKYW570Ctq2znPGIhz6HHspgjoowqZgvhS5TEGYulEVVCcFpcC58bFSaN6Li56hYGo58b6awLoVZhgIF7nBlt2SEAfU+iir/955pKB0N2K7OLWKF0KnBuXrJ7XjnPRCwORUx69CicMRC5fiNowAd150AVfm4c4nbkvS85tj+PaZ7dG6VLg3Li0urm8dtELA5HLCPQqnDAQuXwhaoME9FGFjED9sUV7Gr1/xhn/1LM9Zuq1W6N0KXBuXKa0c9jmohcGIpcN6FU4YSBy+ULUxgjotxxkHHrmQacUvxchIxGLfkhKx+kjjuzi1ihdCpwbl6ye145z0QsDkVMevQonDEQuX4jaGIH4zoMu9KlH/dsP7U9Z67sPUx939BDoPZwWlwLnxsVJo3ouLnphIGpV5tfRq7DBQMznCHsgkCbg1ihdCpwbl7SgVw500QsDkRMevQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBF4QUAFpHyq+Lg+XAucyDxdd5ubhxMlpLnO8Rm93YnTqXF4UtBNfYCBOBMdhEKgJ6CJ2Wk4tKmsXZjcuThrVc3HRS/qjWa3M9Dp6FS4YiOn8YCsEjiLgVnRdCpwbl6NEvWKwi14YiJzo6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QBYEuAbdG6VLg3Lh0RRy400UvDEQuCdCrcMJA5PKFKAh0Cbg1SpcC58alK+LAnS56YSBySYBehRMGIpcvREGgS8CtUboUODcuXREH7nTRCwORSwL0KpwwELl8IQoCXQJujdKlwLlx6Yo4cKeLXhiIXBKgV+GEgcjlC1EQ6BJwa5QuBc6NS1fEgTtd9MJA5JIAvQonDEQuX4iCQJeAW6N0KXBuXLoiDtzpohcGIpcE6FU4YSBy+UIUBLoE3BqlS4Fz49IVceBOF70wELkkQK/CCQORyxeiINAl4NYoXQqcG5euiAN3uuiFgcglAXoVThiIXL4QtVMCX778eXjz5pfn/zHW+/e/H75///vos3VrlC4Fzo3L0cJe6QAXvTAQOcHRq3DCQOTyhagdEpBRUCG4u/v8fHYyENr28PDwvC2zomOcFpcC58bFSaN6Li56YSBqVebX0auwwUDM5wh7dk7g06c/Dm/f/vriLGUcVBzu77+92L70wq1RuhQ4Ny5LOo7a76IXBiKXAehVOGEgcvlC1A4JyDx8/Pjh1ZnNbX8VWG1wa5QuBc6NSyWZ1aqLXhiIXFqgV+GEgcjlC1E7I/D4+Pjq44s4xXfvfjvoUS8qGDxgQA6QA3vJgbq+nbqOgTiVHMdtmsCSgdAXK299UaFk2Q4B9NqOVjHTrWuGgQgleb4pAhiIZbm3XtyWz3BfEei1PT23rhkGYns5x4xXILBkINqPMFZ4y80NsfXitjngZ04Yvc4EOODwrWuGgRiQNLylB4G5L0vObfeY9fVmsfXidj1SHu+EXh46HDOLrWuGgThGbWJ3RaD3zzj1A1O3vmy9uN2afui1PcW3rhkGYns5x4xXIhA/JCUjEYt+SEpfoNRHHLe+bL243Zp+6LU9xbeuGQZieznHjFck0P6Utb77cMpPWa84JZuhtl7cbEBeaSLodSXQK77N1jXDQKyYDAwFgT0R2Hpx25MWnAsEHAlgIBxVYU4QgAAEIAABcwIYCHOBmB4EIAABCEDAkQAGwlEV5gQBCEAAAhAwJ4CBMBeI6UEAAhCAAAQcCWAgHFVhThCAAAQgAAFzAhgIc4GYHgQgAAEIQMCRAAbCURXmBIEEgfj/eeifW7YP/Z7F/f23xCivQ/TDWjEev8j5ms8lt+hn1MX+7u7z5Nv8/PnfIWLi/xgrvdBpEtfFN8a10vt/50SMdJVOemjbHhYMxB5U5BxukkAYiI8fP7w6/yhax/4o1o8f/zw1MBrSK6QX3xC/jKpmJJMwteiXUut9MhTRmKbi2XY5Arr+ZOKklzSQFu0ydT3pmKlrtj12C68xEFtQiTlCYIJAz0Ao/JRCFU3sWOMxMT02HUlATUXmoKeBmlX91y4G4kjIK4bLZMs4yCToWpu6azSl5SnX5YrTXnUoDMSqOBkMAtcjkDEQbVFT0Ytb4Cp+aloaR4vWtS0eKnSx6Di9jn2KfXh4iN1PTU1/HeuhGMXGuJpDHKdn7m48Y3teESsxi1vbWhfjWMIotBzr1zomFjWu0EIxWq//QpYm8X4xBqYx6OWe6ztF4lvfGdII7fUUnOvn0ETXUh2vseqPIMOI1NdSe23nZr1uFAZiXZ6MBoGrEegZCBUjFbVo4ppU/MUUDVxFq/2LNgpV3Uzi45AoaHGcilyMr3FUGKOoxfGagxpVvNZzNK6rgdrAG4U2+mtWSzCvTZq2t3qFsQhNFRO3zcU+ltAhxotGFDGhT8Tz3CfQcte1ofyPaySOFldtr/kq/2tzqGtI15K0DX0iH2K8GEdxiolHvM+oZwzEKPK8LwTOJBAGov6Lpl5Xc4iCpGftqwuX3r4thFGoouDF/jAGMeV2exiIeD/FRVGtm5u2R3HUGCyFgPipOcQSJqBllzEQGqceK8bUttA/DEQ0qIjhOUcg+NX5LmMQhixGaa8nbW8NRJjF9nqQVqFjjBN3qGL80c8YiNEK8P4QOJFAGIhoCvUw0aTVcLREM59qGHXhi0IVBiLGib+M6/eoG5XeR+PUSxTGushqf5iPtjnWx97S+pxZqPkGjyUDEUZxqtEoT0KjaIBt04r34blPoL5mInIq39vrSbE6tr5mp3RWXH3txThu1wwGItTnGQIbI9AzEDoV/TWkuw5qKlGM6jsU9XoYjShUYSB6jaY2DfV6YFSRrN+jXdfYLP/3cUXLJ16HFmK1ZCDCnMWxU8/Km56uaNInEGZ8iq221XndXk8auTUQej03lrZrjBgHA9HXhr0QgECSwJKBiAauphJFr25GU28ThSriwnjM3YEI4zFlIOIvMs2TZZ5A21AiMu4m1H+tLhmIOKZuYjFe/YyBqGkcty5jHh8ttEe2dxPa60nxrd46Jq6jdrx4HeNgIIIIzxCAwFkElgyECpOKlZa5xqIxFBMNJwpVGIj4izb2x4Rje9wqnzIQc6alfY8Y8xaf5xgFC5kH6RMmbMlA6Li5hlQfi4EIwsc9z11HMUoY7rh+pnK9NRC6hmqNYyxpFNtjHAxE0OEZAhA4i0DPQEQhqwtO3BGIbTo+/pqKBhWFKgqgJhjHqdlpURFVM1KjiuOmDIRiIy7Gk/HQce2XzZ4GvsH/BP+5Uw89QrPaBOiYuqFpXUuYkvrORWgYd5IwEHPE+9vjugrWbbSuh9oghH6R/4qvDZ7iNZaOUS7EuKFh6B7jxOv2fUe95jsQo8jzvhA4k4CKz9xnp2o0U8VG21TA4ri6aGk6UajqgqftOk5FLo5Tc4pip/1zBkL7olnFsWpmLPkvk9YNpzUQ4hjmQHzD0Ek/aRvMdVytaWgiQ8eSJ5Axv/Vdo6nrKcyBtAlNdC3puNBL11p9/cY49bb8rC8XiYG4HFtGhgAEIAABCOyWAAZit9JyYhCAAAQgAIHLEcBAXI4tI0MAAhCAAAR2SwADsVtpOTEIQAACEIDA5QhgIC7HlpEhAAEIQAACuyWAgdittJwYBCAAAQhA4HIEMBCXY8vIEIAABCAAgd0SwEDsVlpODAIQgAAEIHA5AhiIy7FlZAjYE4gfqIkftIkfwTlm4voRHP1oET9KlKOmH3vSDxK5/ShQO/v6FxXbfXt83f5YmnI6rgvH83XQBwPhmBnMCQJXItAaiFPeVoVXv6CHgVimJ/OgX4UULwzEMq9rRejXPNWQ4+fa9b7xS57x89/Xmkv2fTAQWVLEQQACFyGAgbgI1slB1Zx05yGYYyAmMV19Y/wk/NRPrDs06TkgDnPjDsScOmyHwA4JxP8DQX8B6y/h+P8oxK3aqY8w1OjU+OJ3+hUT/8+Fejzt1z6W1wR0d0YFX896ZO5AxF/F9WihV/2Xsv5C1nihoZ7jr2dtn/p4qf1/L0jfeky9Z9ugwvhovFtZxEDXydRySX30fu211RrOjD7tGNKu/n/YTJ3XMdswEMfQIhYCGyYQ5qBuNCpCdfOJmDhNFa262an4qKDWRTVi+AgjqL1+luGKwp01EGroYl/fQg8jp+YVi5qEdNQSZqJu8lrX/nh/zUXjSMPYFhrWJqJuUGEebskgio3416yDuZ4vpY/GDs3aa7Wey5I+kRehsXSX5tJ+rQUDsRZJxoGAMYG5phV/oUShqg1EFNC2abRjRfPBQOQSoOXXO0pNIppG6NE2ATWE0EjrUw2ijtF4aoytXhqjPjYaVJiSeI/efPe0b45TfY6X0CeMia6remmvsyV92jypx1prHQOxr2EoxAAAA6FJREFUFknGgYAxgSg+9V+zmm40hykDEYWs/qs0TlHFK/7KjbHbhhSxPL8kcIyBEONo6tJB3EMXGYowFdoW62E46ndV89exWjRejFnHhI6RI4pXE9JzHFvH73k9WOi5t1xCnzAu0rNe2rxZ0ifOQbmhPxQusWAgLkGVMSFgRiCKSdvkoyhNGYg4Rn+tTj3UXLREXDu2GQKb6QRzcVtagq2aiRqLGlYYBTUG7Vcj0e3pGHdKq9imOMXH66nnyIWI03sq7lJNaInBtffr/LPnewl9ZPamdIltoUNGH80v9NPxMo7attaCgViLJONAwJhAFLr46zKmmrkDEQ0ljmmfY2wMREtm+nU0+kwhr81CXfy1HoZCDUJLxEaDmX73cgcizN9cjLarQUVcNLW9axy5vMQwuAVzmbm19Ik7EDJ7veVYfTTHMBNL13Tvfet9GIiaBusQ2CmBKHRtYYyCGQWlvtU9d0z8FRtjxRh7by5rpcYxBkLvqcYUhT8MoJqMtquJ1EZE26Lp1/PVttiuY3Vc26CkZ71d68oHLaF5jFGPvYd1nV8wrnlmzm1tfdTodbcgrsmYg17X20/R59jci/eee8ZAzJFhOwR2RiAaRxQmPasI1UWpNhA6/fhrKIpqFFoVzWhAdcGT6WDpEzi2iIdBk1axBHNpVzOP7dH4FR8ahvlQvMZSw4xj47jQWcfVDUqvYx51TMxn688yRmJ5yrkFl7X0EUvNR9dYXKvKmTAqwXpJH42hR2is46S5jqu3xXinPGMgTqHGMRDYKIEodiqWKkjxOgpVayB0mopRrI7Ro2482h+mQvtUsFj6BI41EPExk7jHogYwx1taKjb0kiahb328tI4YNRXpXC9tg9I+jbVmA6rfb9S62ASHqWedb2+5hD56P90RqucjI1gvS/rougzzGOMoL5R/ay0YiLVIMg4EIAABCEDghghgIG5IbE4VAhCAAAQgsBYBDMRaJBkHAhCAAAQgcEMEMBA3JDanCgEIQAACEFiLAAZiLZKMAwEIQAACELghAhiIGxKbU4UABCAAAQisRQADsRZJxoEABCAAAQjcEAEMxA2JzalCAAIQgAAE1iKAgViLJONAAAIQgAAEbogABuKGxOZUIQABCEAAAmsRwECsRZJxIAABCEAAAjdEAANxQ2JzqhCAAAQgAIG1CGAg1iLJOBCAAAQgAIEbIoCBuCGxOVUIQAACEIDAWgQwEGuRZBwIQAACEIDADRH4/+IPnnNoNeivAAAAAElFTkSuQmCC\"/></p>\n<p style=\"text-align: center;\">[Source: Horowitz, J.F., Ortega, J.F., Hinko, A., Li, M., Nelson, R.K. and Mora-Rodriguez, R.,<br/>2018. Changes in markers for cardio-metabolic disease risk after only 1-2 weeks of a high saturated fat diet in<br/>overweight adults. <em>PLoS ONE</em>, 13(6), e0198372.]</p>\n</div><div class=\"specification\">\n<p>Control of blood glucose concentration was investigated using an oral glucose tolerance test. For this test, the person was given a concentrated glucose drink (at time zero) and then blood samples were taken every 15 minutes to determine the plasma insulin level. This test was done before the study diet and after two weeks on the study diet. Mean results are shown in the graph, including the standard deviation.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Horowitz, J.F., Ortega, J.F., Hinko, A., Li, M., Nelson, R.K. and Mora-Rodriguez, R.,<br/>2018. Changes in markers for cardio-metabolic disease risk after only 1-2 weeks of a high saturated fat diet in<br/>overweight adults. <em>PLoS ONE</em>, 13(6), e0198372.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Comment on the total energy content of the two diets.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the two diets.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate, showing your working, the percentage change in mean cholesterol level after <strong>one week</strong> on the study diet.</p>\n<p> </p>\n<p>. . . . . . . . . . . . . . . . . . . .%</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare the data for plasma insulin levels before and after the study diet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State which cells secrete insulin.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reason for plasma insulin levels changing in the first 30 minutes of the test.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The hypothesis made before the study was that saturated fats in the diet affected the risk of coronary artery blockage and diabetes. Using all the data in question 1, evaluate whether this hypothesis is supported by the study.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. energy is not changed (between the two diets);</p>\n<p>b. study diet <span style=\"text-decoration: underline;\">slightly</span> lower in energy than habitual diet (but means/SD overlap);</p>\n<p>c. spread of values show more variation for habitual diet / higher SD in habitual;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. they differ in percent of saturated and unsaturated fats (but not total fat);</p>\n<p>b. percent of saturated fats is higher in study diet / lower in habitual diet;</p>\n<p>c. (mono/poly) unsaturated fats decreased in study diet compared to habitual diet/more in habitual diet<br/><em><strong>OR</strong></em><br/>polyunsaturated fats in study diet only half of what they were in habitual diet;</p>\n<p>d. (slightly) less carbohydrate in study;</p>\n<p><em>Allow numerical points if they are a valid comparison using distinguishing terms</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>((165–150) ÷ 150) × 100;</p>\n<p>(=) 10 (%);</p>\n<p><em>Allow up to 167 = 11.3 %</em></p>\n<p><em>1 mark for correct working if above 167</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. both show same pattern of rise, level and then decrease / show same trend;</p>\n<p>b. both show same/similar levels of insulin (at all times) due to overlapping error bars;</p>\n<p>c. both rise for 30/45 minutes;</p>\n<p><em>Do not give credit for contrasts</em>.</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"text-decoration: underline;\">β cells</span> of pancreas/islets (of Langerhans);</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>as blood glucose rises, <span style=\"text-decoration: underline;\">insulin</span> <span style=\"text-decoration: underline;\">rises</span>/<span style=\"text-decoration: underline;\">increases</span> to reduce the level/<em>OWTTE</em>;</p>\n<p><em>Blood glucose must be mentioned as well as a rise in insulin</em>.</p>\n<div class=\"question_part_label\">d.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Hypothesis is partially supported</em><br/>a. Increased saturated fats in study diet resulted in increase in cholesterol levels;</p>\n<p>b. cholesterol level is risk for blockage of coronary arteries;</p>\n<p><em>Hypothesis is not supported</em><br/>c. high insulin levels are sign of (Type II) diabetes;</p>\n<p>d. insulin levels were the same in both diets so no increased risk;</p>\n<p>e. study only 2 weeks long;</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Considering that all students must complete an Individual investigation as part of their Biology course, few understood the significance of the uncertainties shown in the first table or the overlap of the standard deviations in the graph in part d. Only the better candidates were able to say that the energy was extremely similar in both diets. A surprising number could not calculate a percentage change in part c.</p>\n<p>In part b, the command term was ‘distinguish’ which means that only differences were looked for. Similarly in d(i), ‘compare’ means that only similarities were needed. If both were required, the command term is ‘compare and contrast’.</p>\n<p>In d, few could state that there was no significant difference in the two curves due to the overlap of the error bars. Most knew that the beta cells of the pancreas secrete insulin, although a surprising number thought that they were produced by the red blood cells. In e, many gained two marks for linking saturated fats to cholesterol and its consequence.</p>\n<p> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-1-10-difference-between-saturated-monounsaturated-and-polyunsaturated-fatty-acids",
+      "b1-1-carbohydrates-and-lipids",
+      "b1-2-3-dietary-requirements-for-amino-acids",
+      "b1-2-proteins",
+      "b4-2-9-adaptations-of-herbivores-for-feeding-on-plants-and-of-plants-for-resisting-herbivory",
+      "b4-2-ecological-niches",
+      "d3-3-3-regulation-of-blood-glucose-as-an-example-of-the-role-of-hormones-in-homeostasis",
+      "d3-3-homeostasis",
+      "d4-2-4-use-of-a-model-to-investigate-the-effect-of-variables-on-ecosystem-stability",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between the distribution of\n   <em>\n    D. tigrina\n   </em>\n   and that of\n   <em>\n    D. coronata\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the principle of competitive exclusion.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Other than position in the tree, suggest\n   <strong>\n    two\n   </strong>\n   ways in which the niches of the warblers in the ecosystem may differ.\n  </p>\n  <p>\n   1.\n  </p>\n  <p>\n   2.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The diagram shows the realized niches of the five species of warbler. Suggest how the fundamental niche of\n   <em>\n    D. castanea\n   </em>\n   might differ from its realized niche.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a.\n  <em>\n   D. tigrina\n  </em>\n  lives higher in the tree than\n  <em>\n   D. coronata\n  </em>\n  ;\n </p>\n <p>\n  b.\n  <em>\n   D. coronata\n  </em>\n  occupies a greater area/height range than\n  <em>\n   D. tigrina\n  </em>\n  ;\n </p>\n <p>\n  c.\n  <em>\n   D. tigrina\n  </em>\n  found in the outer regions and\n  <em>\n   D. coronata\n  </em>\n  found on the inside;\n </p>\n <p>\n  <em>\n   Accept vice-versa\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. no two species can occupy the same niche;\n </p>\n <p>\n  b. competition between them would cause one species to drive the other out\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  one of the two species would need to adapt and evolve accordingly;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  a. different food/prey;\n </p>\n <p>\n  b. different predators;\n </p>\n <p>\n  c. active at different times of the day;\n </p>\n <p>\n  d. present at different times of the year;\n </p>\n <p>\n  e. different nest sites;\n </p>\n <p>\n  f. different temperatures;\n </p>\n <p>\n  <em>\n   Do not accept “different habitats\n  </em>\n  ”.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  a. the realized is the actual niche and the fundamental is in the absence of competition;\n </p>\n <p>\n  b. with no competition the\n  <em>\n   D. castanea\n  </em>\n  would have a larger habitat/more food\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  <em>\n   D.castanea\n  </em>\n  could occupy the niches currently occupied by the other warbler species;\n </p>\n <p>\n  <em>\n   Accept named species\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Overall, well answered.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  When describing competitive exclusion many candidates simply described competition. Some mentioned habitat rather than niche.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Weaker candidates gave incomplete or confused suggestions in differentiating between the realised and fundamental niche.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b4-2-12-fundamental-and-realized-niches",
+      "b4-2-13-competitive-exclusion-and-the-uniqueness-of-ecological-niches",
+      "b4-2-ecological-niches"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.13",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the number of species of grebe with problems due to entanglement.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest how entanglement in plastics can lead to the death of marine birds.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the group with the greatest number of species with problems due to ingestion of plastics.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how ingested plastics can cause problems to marine birds.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  2;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  a. birds are unable to fly/swim for food;\n </p>\n <p>\n  b. unable to escape predators;\n </p>\n <p>\n  c. birds drown;\n </p>\n <p>\n  d. birds suffocate / are strangled;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  C / albatrosses, petrels and shearwaters;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  a. fill up the stomachs (of young birds) so they feel full / starve to death;\n </p>\n <p>\n  b. damage the digestive system / cut the gut/stomach/oesophagus/intestines (leading to internal bleeding);\n </p>\n <p>\n  c. block passage of food (causing starvation);\n </p>\n <p>\n  d. cause choking (so cannot breathe);\n </p>\n <p>\n  e. contain/decompose to toxic chemicals (poisoning birds)\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  toxins/microplastics in seawater build up/biomagnify (and poison wildlife);\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  This question outlining how plastic pollution affects marine birds was straightforward for all candidates.\n </p>\n</div>\n",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-2-10-effects-of-microplastic-and-macroplastic-pollution-of-the-oceans",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Two components of biodiversity are richness and evenness. Deduce which of the two pools was higher in richness.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Two components of biodiversity are richness and evenness. Deduce which of the two pools was higher in evenness.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculation of Simpson’s reciprocal diversity index for both rockpools gives the following results.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Outline what conclusion can be drawn from the results.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The graph shows how the number of ant species found on isolated islands near New Guinea depends on the size of the island.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p style=\"text-align:center;\">\n   [Source: University of Windsor,\n   <em>\n    The Theory of Island Biogeography\n   </em>\n   . Available at:\n   <br/>\n   http://web2.uwindsor.ca/courses/biology/macisaac/55-437/lecture9.htm.]\n  </p>\n  <p style=\"text-align:center;\">\n  </p>\n  <p style=\"text-align:left;\">\n   Explain the relationship between island size and number of ant species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  B;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  B is more diverse/biodiverse than A;\n </p>\n <p>\n  <em>\n   Accept vice-versa. Do not accept greater Simpson’s reciprocal diversity index\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  (the larger islands contain) more species as there are more habitats;\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Candidates could deduce the richness and evenness of the pools but gave incomplete answers to the other two parts of this question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The conclusion from the table showing values of Simpson’s reciprocal diversity index required mention of biodiversity, not simply that one pool is more diverse.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The graph showing the number of ant species according to island size required an explanation of the graph. Many candidates simply stated the relationship with no explanation.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity"
+    ],
+    "subtopics": [
+      "a4-2-5-evidence-for-a-biodiversity-crisis",
+      "a4-2-conservation-of-biodiversity"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain what information a pyramid of energy provides about an ecological community.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline a method that could have been used in this study to measure the numbers of sea urchins per 0.25 m\n   <sup>\n    2\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sea otters are considered keystone species in this environment. Suggest how the presence of sea otters could affect the algae population.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sea urchins are destroying the giant kelp alga (\n   <em>\n    Macrocystis pyrifera\n   </em>\n   ) marine forests of South East Australia. Suggest a reason that sea urchins might be an invasive species in this environment.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  a. shows the amount of energy at each trophic level (of a food chain/web);\n </p>\n <p>\n  b. (energy) measured over a period of time/year\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  units are energy per area per time/kJ m\n  <sup>\n   –2\n  </sup>\n  year\n  <sup>\n   –1\n  </sup>\n  ;\n </p>\n <p>\n  c. the width/size of each bar represents the amount of energy;\n </p>\n <p>\n  d. the bottom level represent the producers;\n </p>\n <p>\n  e. subsequent levels represent consumers;\n </p>\n <p>\n  f. each level should be roughly one tenth of the size/10 % of the preceding level;\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  organisms at the top of the food chain are shown to have much less energy available to them;\n </p>\n <p>\n  g. the energy that enters a community is ultimately lost as heat/in respiration\n </p>\n <p>\n  <em>\n   Some answers may be displayed in a diagram\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. with\n  <span style=\"text-decoration:underline;\">\n   quadrats\n  </span>\n  (of 0.5 m side / 0.25m\n  <sup>\n   2\n  </sup>\n  );\n </p>\n <p>\n  b. (quadrats) position determined at fixed distance by transects\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  (quadrats) position determined at random;\n </p>\n <p>\n  c. random sampling / capture-recapture;\n </p>\n <p>\n  d. average number calculated;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. sea otters (feeding on sea urchins) limit sea urchin population;\n </p>\n <p>\n  b. the largest sea urchins are eaten;\n </p>\n <p>\n  c. shown by low biomass/small size (of sea urchins);\n </p>\n <p>\n  d. fewer/smaller sea urchins allow for increase in algae population;\n </p>\n <p>\n  e. sea otters have a top down effect;\n </p>\n <p>\n  <em>\n   Allow converse reasoning\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  the sea urchins’ limiting factors in their original habitat are missing\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  lack of (natural) predators for sea urchins\n </p>\n</div>\n",
+    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  The better candidates performed well in this question while weaker candidates are still confused by pyramids of energy. Many referred to numbers, or biomass at each trophic level. Very few candidates stated that the measurements were taken over a period of time.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidates did well on this question, especially strong ones, although there was evidence that many candidates are not familiar with population evaluation skills. Candidates should be aware that writing \"quadrants\" (with a \"n\") is questionable, and that although it may not be assumed that they knew what echinoderms or sea urchins were, the capture-mark-release-recapture method was not really appropriate to evaluate their numbers, given the very limited areas of 0.25 m\n  <sup>\n   2\n  </sup>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The majority of candidates could suggest that the sea algae population could be affected by sea otters feeding on sea urchins; most nevertheless did not use the graphs or mention that a top down effect was present.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Many suggested that sea urchins' predators were not present, but too many irrelevant or blank answers were seen.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a4-2-6-causes-of-the-current-biodiversity-crisis",
+      "a4-2-conservation-of-biodiversity",
+      "c4-1-3-random-quadrat-sampling-to-estimate-population-size-for-sessile-organisms",
+      "c4-1-populations-and-communities",
+      "c4-2-11-construction-of-energy-pyramids",
+      "c4-2-transfers-of-energy-and-matter",
+      "d4-2-5-role-of-keystone-species-in-the-stability-of-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>The photomicrograph below shows the protozoan <em>Paramecium caudatum</em>.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Deuterostome, CC BY-SA 3.0<br/>https://creativecommons.org/licenses/by-sa/3.0, via Wikimedia Commons.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the genus of this organism.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the domain in which it is classified.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the method of nutrition carried out by <em>P. caudatum</em>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> aspect of how <em>P. caudatum</em> carries out homeostasis.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Apart from the ribosomes, explain the evidence for the endosymbiotic theory of the origin of eukaryotic cells.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Paramecium</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>eukaryotes</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"text-decoration: underline;\">heterotroph</span>/<span style=\"text-decoration: underline;\">consumer</span> as it feeds on bacteria/algae/yeast/smaller single celled organisms<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration: underline;\">heterotroph</span>/<span style=\"text-decoration: underline;\">consumer</span> as it does not have chloroplasts</p>\n<p><em>Heterotrophic must be qualified</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. lives in fresh water so water enters cell (by osmosis);</p>\n<p>b. <span style=\"text-decoration: underline;\">contractile vacuoles</span> collect and expel water;</p>\n<p>c. homeostasis is keeping internal conditions within limit/constant / involves osmoregulation/regulating water content/potential;</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mitochondria/chloroplasts show features in common with <span style=\"text-decoration: underline;\">prokaryotes</span>/similar size;</p>\n<p>b. multiply by binary fission/in same manner;</p>\n<p>c. have naked loop of DNA/circular DNA/own DNA;</p>\n<p>d. surrounded by a double membrane;</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In a about half of the candidates named the genus correctly (<strong><em>Paramaecium</em></strong>), but significantly fewer could state the correct domain (eukaryota). The most common wrong answers were prokaryote and eubacteria. Only the better candidates were able to outline the method of nutrition (heterotrophy) in b and describe how homeostasis is carried out, in spite of being specifically stated in the syllabus. The endosymbiotic theory was quite well known.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "b2-1-10-fluid-mosaic-model-of-membrane-structure",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-2-5-synapses-as-junctions-between-neurons-and-between-neurons-and-effector-cells",
+      "c2-2-6-release-of-neurotransmitters-from-a-presynaptic-membrane",
+      "c2-2-7-generation-of-an-excitatory-postsynaptic-potential",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows part of two neurons.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: © International Baccalaureate Organization 2020.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the amphipathic properties of phospholipids play a role in membrane structure.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of the structure shown.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>X indicates the movement of a structure in the neuron. Explain what events trigger this movement and what happens next.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. part hydrophobic/not attracted to water/non-polar <em><strong>AND</strong></em> part hydrophilic/attracted to water/polar; <em>Both needed</em>.</p>\n<p>b. bilayer formed (formed naturally by phospholipids in water);</p>\n<p>c. <span style=\"text-decoration: underline;\">hydrophilic</span> heads/parts face outwards <em><strong>AND</strong></em> <span style=\"text-decoration: underline;\">hydrophobic</span> tails/parts face inwards;</p>\n<p><em>Do not allow water loving/hating in mpa or mpc</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>synapse/synaptic</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. depolarization of pre-synaptic membrane / action potential/nerve impulse arrives;</p>\n<p>b. uptake of calcium / calcium ions diffuse in / calcium channels open;</p>\n<p>c. structures containing neurotransmitter/vesicles move to/fuse with membrane;</p>\n<p>d. <span style=\"text-decoration: underline;\">neurotransmitter</span>/<span style=\"text-decoration: underline;\">acetylcholine</span> released by exocytosis into cleft/binds to postsynaptic membrane/receptors;</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Knowledge of amphipathic properties in part a was good. In b, most could state that the diagram shows a synapse. A variety of spelling is usually allowed, but in this case ‘synapsis’ was not allowed in English as this refers to the pairing of homologous chromosomes. There were some G2 comments that the X could be taken as the structure. However X clearly points to an arrow, not a structure. Most were able to gain some marks by describing the events, but some lost marks by not clearly indicating that it is the vesicle containing the neurotransmitter that moves.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "c2-1-5-localized-and-distant-effects-of-signalling-molecules",
+      "c2-1-7-initiation-of-signal-transduction-pathways-by-receptors",
+      "c2-1-8-transmembrane-receptors-for-neurotransmitters-and-changes-to-membrane-potential",
+      "c2-1-9-transmembrane-receptors-that-activate-g-proteins",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the complementary strand to complete the section of a DNA diagram.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Define mutation.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how evolution by natural selection depends on mutations.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. correct base sequence: T, G, A;</p>\n<p>b. strand drawn anti-parallel;</p>\n<p>c. correct shapes used;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Award <strong>[2 max]</strong> if bonds are not from the correct carbon or if the nucleotides are not joined</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>change in genetic makeup/DNA/nucleotide/base sequence</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mutations cause variation among organisms of same species/population;</p>\n<p>b. some variations/mutations make individual more suited to its environment/way of life;</p>\n<p>c. individuals that are better adapted survive and produce offspring;</p>\n<p>d. individuals pass on genetic characteristics/mutation/variation to offspring;</p>\n<p>e. natural selection increases frequency of characteristics/alleles that make individuals better adapted;</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (a) most could gain marks for the correct shapes and sequence but did not gain the third mark as it was not shown as antiparallel. Some lost marks as a 2MAX was awarded if the bonds were not from the correct carbons. In part (b) the definition of mutation was quite well known, and most gained some marks in the explanation. Weaker students just wrote about evolution without relating it to mutations as asked. They also tended to give unnecessary examples, involving finches and moths <em>etc</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "c4-2-6-autotrophs-as-organisms-that-use-external-energy-sources-to-synthesize-carbon-compounds-from-simple-inorganic-substances",
+      "c4-2-7-use-of-light-as-the-external-energy-source-in-photoautotrophs-and-oxidation-reactions-as-the-energy-source-in-chemoautotrophs",
+      "c4-2-transfers-of-energy-and-matter",
+      "d1-3-4-causes-of-gene-mutation",
+      "d1-3-mutations-and-gene-editing",
+      "d4-1-2-roles-of-mutation-and-sexual-reproduction-in-generating-the-variation-on-which-natural-selection-acts",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>Life is based on carbon compounds.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a molecular diagram of alpha-D-glucose.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how carbon compounds are produced in cells using light energy.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the transformations of carbon compounds in the carbon cycle.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. hexagonal ring structure with O at one point (between C1 and C5);</p>\n<p>b. correct orientation of OH groups (on carbons 1 to 4); <em>Hydrogens not required</em></p>\n<p>c. CH<sub>2</sub>OH group shown on fifth carbon with correct orientation;<br/><em><strong>OR</strong></em><br/>d. 6 carbon chain with oxygen on first C;</p>\n<p>e. H and OH groups correctly orientated;</p>\n<p><em>Carbons do not need to be numbered</em>.</p>\n<p><em>Allow boat or chair diagrams</em>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Allow <strong>[2 max]</strong> if linear structure drawn</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. occurs by the process of photosynthesis;</p>\n<p>b. occurs in chloroplasts of plant cells/using chlorophyll;</p>\n<p>c. chlorophyll absorbs red/blue light <em><strong>AND</strong></em> reflects green light; <em>Both needed for marking point</em>.</p>\n<p>d. raw materials/starting products are carbon dioxide and water/shown in an equation;</p>\n<p>e. water is split by photolysis;</p>\n<p>f. oxygen is produced as <span style=\"text-decoration: underline;\">waste</span>/<span style=\"text-decoration: underline;\">by-product</span>/<span style=\"text-decoration: underline;\">lost</span>;</p>\n<p>g. glucose formed/shown in an equation;</p>\n<p>h. glucose molecules combine to form starch for storage;</p>\n<p>i. light energy transformed to chemical;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. autotrophs/producers convert carbon dioxide into carbohydrates/carbon compounds in photosynthesis;</p>\n<p>b. carbon dioxide diffuses/moves from the atmosphere /water into autotrophs/plants;</p>\n<p>c. carbon compounds are transferred through food chains/<em>OWTTE</em>;</p>\n<p>d. carbon dioxide produced by respiration diffuses out of organisms into water/atmosphere;</p>\n<p>e. decomposers release carbon dioxide during decay/putrefaction;</p>\n<p>f. methane is produced from organic matter <span style=\"text-decoration: underline;\">in anaerobic conditions</span> (by methanogens);</p>\n<p>g. some methane diffuses into the atmosphere/accumulates in the ground;</p>\n<p>h. methane is oxidized to carbon dioxide (and water) in the atmosphere;</p>\n<p>i. peat forms when organic matter is not fully decomposed because of acidic/anaerobic conditions in waterlogged soils;</p>\n<p>j. partially decomposed organic matter from past geological eras/fossils was converted into coal/oil/gas that accumulated in rocks;</p>\n<p>k. carbon dioxide is produced by the combustion of biomass/fossilized organic matter/fuels;</p>\n<p>i. hard parts of some animals/corals/molluscs are composed of calcium carbonate</p>\n<p>m. can become fossilized in limestone;</p>\n<p><em>As this is an “explain” question, simply drawing a labelled diagram is not enough for <strong>[7]</strong>. Diagram would need sufficient annotations to meet the command term</em>.</p>\n<p><em>If carbon compounds are referred to instead of carbon dioxide, penalise once then ecf</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was the less favourite option question, generally attempted by the better candidates. In part (a) the candidates tended to gain either 3 for a correct structure or zero. A G2 comment asked whether the different forms of glucose were needed; knowledge of the structure of alpha-glucose is stated in the syllabus.</p>\n<p>Most gained some marks for what was really a description of photosynthesis in part (b), and the transformations of carbon compounds in the carbon cycle was quite well known. Some students lost marks by continuing to use the term ‘carbon compounds’ instead of carbon dioxide and the specific compounds. Many went off on a tangent to write about carbon dioxide and climate change <em>etc</em>. Many drew some quite detailed flow charts of the carbon cycle from which some marks could be gleaned or ambiguous statements clarified.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-3-1-transformation-of-light-energy-to-chemical-energy-when-carbon-compounds-are-produced-in-photosynthesis",
+      "c1-3-photosynthesis",
+      "c4-2-18-ecosystems-as-carbon-sinks-and-carbon-sources",
+      "c4-2-22-recycling-of-all-chemical-elements-required-by-living-organisms-in-ecosystems",
+      "c4-2-transfers-of-energy-and-matter",
+      "d3-2-10-incomplete-dominance-and-codominance",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>According to the cell theory, living organisms are composed of cells.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the ultrastructure of a prokaryotic cell based on electron micrographs.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline what occurs in cells in the first division of meiosis.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of cells in the defence against infectious disease.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cell wall;</p>\n<p>b. plasma membrane; <em>Clearly shown as a separate line under the cell wall or the inner line</em></p>\n<p>c. cytoplasm <em><strong>AND</strong></em> <span style=\"text-decoration: underline;\">70S</span> ribosomes; <em>Do not allow (small) circles</em></p>\n<p>d. nucleoid/naked DNA;</p>\n<p>e. plasmid<br/><em><strong>OR</strong></em><br/>pili<br/><em><strong>OR</strong></em><br/>flagella/flagellum;</p>\n<p><em>Structures correctly drawn and labelled</em>.</p>\n<p><em>Award <strong>[2 max]</strong> if any exclusively eukaryotic structures are shown</em>.</p>\n<p><em>Do not allow cilia as they are not found in prokaryotes</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. halves the chromosome number/produces haploid cells;</p>\n<p>b. at start of meiosis each chromosome consists of two sister chromatids attached by a centromere;</p>\n<p>c. prophase (I): pairing of homologous chromosomes;</p>\n<p>d. crossing over occurs;</p>\n<p>e. chromosomes condense by supercoiling;</p>\n<p>f. metaphase (I): pairs of homologous chromosomes/bivalents move to equator of spindle<br/><em><strong>OR</strong></em><br/>metaphase (I): orientation of pairs of homologous chromosomes (prior to separation) is random;</p>\n<p>g. anaphase (I): centromeres do not divide<br/><em><strong>OR</strong></em><br/>anaphase (I): spindle fibre pulls chromosome/whole centromere with two sister chromatids to opposite poles;</p>\n<p>h. telophase (I): arrival of centromere with sister chromatids at opposite poles;</p>\n<p><em>Some of these can be awarded for correctly annotated diagrams</em>.</p>\n<p><em>No credit for events in meiosis II</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cells of skin provide a physical barrier/produce fatty acids/lactic acid/lysozyme which stops entry of microbes<br/><em><strong>OR</strong></em><br/>mucous membranes produce mucus to trap pathogens<br/><em><strong>OR</strong></em><br/>stomach cells produce hydrochloric acid which kills microbes;</p>\n<p>b. platelets start the clotting process preventing access of pathogens;</p>\n<p>c. (two types of) white blood cells fight infections in the body;</p>\n<p>d. phagocytes ingest pathogens (by endocytosis/phagocytosis);</p>\n<p>e. gives non-specific immunity to diseases / ingest any type of pathogen;</p>\n<p>f. production of antibodies by lymphocytes/B cells;</p>\n<p>g. in response to particular pathogens/antigens;</p>\n<p>h. gives specific immunity;</p>\n<p>i. lymphocyte/B cell makes only one type of antibody;</p>\n<p>j. plasma cells produce large quantity of (one type of) antibody;</p>\n<p>k. some lymphocytes act/remain as memory cells;</p>\n<p>l. can quickly reproduce to form a clone of plasma cells if a pathogen carrying a specific antigen is re-encountered;</p>\n<p>m. results in faster defence against second exposure to specific antigen/pathogen/disease;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (a) many candidates were penalised for drawing clear eukaryotic structures such as mitochondria. The general level of the drawings was better than in the past. However a prokaryote should not be represented as a square. Ribosomes must be shown as dots, not circles.</p>\n<p> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (b), those who had been well prepared easily gained the 5 marks, but there was a significant proportion who did not know the difference between mitosis and meiosis.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part (c), defence against infection was well known. Poor candidates lost marks by using loose, non-biological expressions such as the ‘white blood cells eat the infection/disease’. However, most had a fair idea of the cellular response to infection.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-11-drawing-and-annotation-based-on-electron-micrographs",
+      "a2-2-cell-structure",
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-proteins",
+      "c3-2-6-lymphocytes-as-cells-in-the-adaptive-immune-system-that-cooperate-to-produce-antibodies",
+      "c3-2-defence-against-disease",
+      "d2-1-9-meiosis-as-a-reduction-division",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how hydrogen bonds form in water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the processes that cause water to move from the roots of plants to their leaves.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. water (molecules) are polar/dipolar/have partially positive and negative poles/have δ+ and δ-;\n </p>\n <p>\n  b. attraction/bonding between positive and negative (poles);\n </p>\n <p>\n  c. hydrogen bond formed between hydrogen and oxygen;\n  <em>\n   Reject if H and O in same molecule.\n  </em>\n </p>\n <p>\n  d. bond/attraction between different water molecules/intermolecular;\n </p>\n <p>\n  <em>\n   Marks can be awarded in an annotated diagram.\n  </em>\n </p>\n <p>\n  <em>\n   Reject answers stating or implying that there are whole positive or negative charges for mpa\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. water moved/transported in\n  <span style=\"text-decoration:underline;\">\n   xylem\n  </span>\n  <span style=\"text-decoration:underline;\">\n   vessels\n  </span>\n  ;\n </p>\n <p>\n  b. transported under tension/suction/pulled up (in xylem vessels);\n </p>\n <p>\n  c. transpiration/loss of water (vapour) generates pulling forces/low pressure/tension;\n </p>\n <p>\n  d. tension/pull generated when water evaporates from cell walls (in mesophyll);\n </p>\n <p>\n  e. transpiration is loss of water\n  <span style=\"text-decoration:underline;\">\n   vapour\n  </span>\n  from leaf (surface)/stomata;\n </p>\n <p>\n  f.\n  <span style=\"text-decoration:underline;\">\n   cohesivity\n  </span>\n  /\n  <span style=\"text-decoration:underline;\">\n   cohesion\n  </span>\n  in water due to hydrogen bonding/attractions between water molecules;\n </p>\n <p>\n  g. cohesion/WTTE so chain/column of water (molecules) doesn’t break/remains continuous;\n </p>\n <p>\n  h. transpiration stream is a column of/flow of water in xylem from roots to leaves;\n </p>\n <p>\n  <em>\n   Do not award marks for absorption of water by roots\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Answers were mostly good here, with many candidates scoring full marks. A very common misconception was that hydrogen bonds are strong – a single hydrogen bond is a weak interaction and it is only because there are many hydrogen bonds in water that they collectively exert large cohesive forces. A few candidates thought that hydrogen bonds were within rather than between water molecules.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This was answered quite well. There were some traditional areas of confusion, with cohesion and adhesion either muddled up or treated as the same thing. Some candidates thought high pressure caused by roots and low pressure caused by leaves could exist at the same time in xylem. Few responses referred to water being transported in the vessels of xylem. In some answers water was said to evaporate from stomata, instead of the moist, blotting-paper-like cells walls of the mesophyll. Some answers included details of how water is absorbed into roots, which was outside the scope of the question. Despite these common faults, many candidates described clearly how tension is generated in xylem and how cohesive columns of water can be pulled up to leaves.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a1-1-2-hydrogen-bonds-as-a-consequence-of-the-polar-covalent-bonds-within-water-molecules",
+      "a1-1-water",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>The mechanism of action of vinblastine, an anticancer drug, was investigated over a range of concentrations. Vinblastine is an alkaloid isolated from the periwinkle plant (<em>Catharansus roseus</em>). The percentage of cells in mitosis and ratio of anaphase to metaphase in cells exposed to this drug <em>in vitro</em> for a fixed time were recorded. The data are displayed in two graphs.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Republished with permission of American Society for Pharmacology and Experimental Therapeutics, from Mechanism of Mitotic Block and Inhibition of Cell Proliferation by the Semisynthetic Vinca Alkaloids Vinorelbine and Its Newer Derivative Vinflunine, <em>Molecular Pharmacology</em>, Vivian K. Ngan, Krista Bellman, Bridget T. Hill, Leslie Wilson and Mary Ann Jordan, Volume 60 , Issue 1, 2001; permission conveyed through Copyright Clearance Center, Inc.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>By referring to both graphs, evaluate the hypothesis that vinblastine targets cells in mitosis and prevents them from completing the process.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Some anticancer drugs inhibit mitosis by blocking the formation of the spindle. Suggest <strong>one</strong> other way in which vinblastine could block mitosis.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss <strong>one</strong> advantage and <strong>one</strong> disadvantage of using plant tissue to investigate drugs intended to treat cancer in humans.</p>\n<p>Advantage:</p>\n<p> </p>\n<p>Disadvantage:</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Evaluation of evidence in graph on left </em></p>\n<p>a. increase in (percentage of) cells in mitosis (as vinblastine concentration rises) ✔</p>\n<p>b. supports hypothesis that cells get stuck in/cannot complete mitosis ✔</p>\n<p><em>Evaluation of evidence in graph on right </em></p>\n<p>c. drop in anaphase-metaphase ratio due to fewer cells in anaphase/more cells in metaphase ✔</p>\n<p>d. cells not progressing from metaphase to anaphase/get stuck in metaphase ✔</p>\n<p><em>Do not allow mpa if the candidate is arguing that the hypothesis is not supported</em>.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. causes microtubules/spindle fibres to break up / tubulin molecules to depolymerize ✔</p>\n<p>b. prevents contraction of spindle microtubules/fibres ✔</p>\n<p>c. disrupts/damages kinetochores/centromeres/microtubule motors/centrioles/centrosomes ✔</p>\n<p>d. prevents separation/pulling apart of (sister) chromatids/chromosomes/centromeres ✔</p>\n<p>e. prevents microtubules/spindle binding to chromatids/chromosomes/centromeres/DNA ✔</p>\n<p><em><strong>Mark the first suggestion only in the answer</strong></em>.</p>\n<p><em>Do not allow answers about DNA replication or other processes that precede mitosis</em>.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Advantage</em>:</p>\n<p>avoids risks for humans/harm to humans / more ethical (than with human patients/volunteers) ✔</p>\n<p><em>Disadvantage</em>:</p>\n<p>differences between plant and human cells so humans may not respond in same way <br/><em><strong>OR</strong></em><br/> plants have cell wall/no centrioles/other relevant difference between plant and human cells ✔</p>\n<p><em>Not enough for mpa to say ‘not using humans’.</em></p>\n<p><em>For mpb there must be either a statement that differences between cells may cause a different response, or a specific example of a cell difference</em>.</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was another challenging data-analysis task with marks spread across the whole range, but full marks were rarely awarded. Many candidates thought that a rise in mitotic index had to mean that more cells were entering mitosis and they failed to deduce from the drop to zero of the anaphase-metaphase ratio that cells were getting stuck in metaphase. As in (d), it was necessary both to understand how cells progress through the cell cycle and be able to make deductions from trends in quantitative data.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A wide range of possible ways in which mitosis could be blocked was accepted and about a third of candidates suggested one of these. Methods of blocking DNA replication or cytokinesis were not accepted as the question specifically referred to mitosis.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to suggest an advantage of using plant tissue and any reasonable answer was accepted. Fewer gave a disadvantage that was credited. Vague answers such as plants are different from humans were not rewarded with a mark.</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-3-6-rapid-evolution-in-viruses",
+      "a2-3-viruses-(hl-only)",
+      "d2-1-1-generation-of-new-cells-in-living-organisms-by-cell-division",
+      "d2-1-13-phases-of-the-cell-cycle",
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>The image shows part of a plant cell with a chloroplast in close proximity to mitochondria.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Photo © E. Newcomb.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> structural similarities between mitochondria and chloroplasts.</p>\n<p>1.</p>\n<p>2.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast mitochondria and chloroplasts in terms of the substrates they use and the products they produce. </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the compounds produced by chloroplasts are distributed throughout the plant.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. (a loop of) DNA ✔</p>\n<p>b. <span style=\"text-decoration:underline;\">70S</span> ribosomes ✔</p>\n<p>c. <span style=\"text-decoration:underline;\">double</span> membrane ✔</p>\n<p>d. electron transport chains/enzyme complexes in (internal) membranes ✔</p>\n<p>e. enzymes in a region of fluid/in stroma and matrix ✔</p>\n<p>f. large area of (internal) membrane/cristae and thylakoids ✔</p>\n<p><em><strong>Only two answers should be marked – the first on each line</strong></em>.</p>\n<p><em>Do not award marks for functions rather than structures, for example ATP production</em>.</p>\n<p><em>Allow spaces inside cristae and thylakoids for mpf</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. ATP produced by both / ADP used by both ✔</p>\n<p>b. oxygen produced by chloroplasts and used by mitochondria ✔</p>\n<p>c. carbon dioxide produced by mitochondria and used by chloroplasts ✔</p>\n<p>d. carbon/organic compounds built up in chloroplasts/anabolism and broken down in mitochondria/catabolism ✔</p>\n<p><em>Do not award mpd for statements about carbohydrates or glucose (because the pyruvate used by mitochondria is not a carbohydrate)</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. in phloem ✔</p>\n<p>b. loading into sieve tubes/by active transport/by cotransport/by companion cells ✔</p>\n<p>c. entry of water (to phloem) by osmosis/because of high solute concentration ✔</p>\n<p>d. causes high/hydrostatic pressure ✔</p>\n<p>e. flow from high pressure to lower pressure down pressure gradient ✔ from source to sink ✔</p>\n<p><em>Do not award mpa if xylem included with phloem</em>.</p>\n<p><em>Do not award a mark solely for mentioning the term ‘translocation'</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Surprisingly few candidates achieved two marks for this question, with many thinking that these organelles were cells with cell membranes, cell walls or even nuclei.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>To answer this question, candidates had to know that chloroplasts photosynthesize and mitochondria respire aerobically. They then had to compare or contrast the substrates or products of these two processes. The mean mark was 0.6 out of 2, showing that many candidates failed to do this. Well-prepared candidates had no difficulty.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question also required a link to be made, after which marks were relatively easily earned. The phase 'distributed throughout the plant' indicated that it was carbon compounds, not oxygen, that were the issue, so phloem transport was the distribution method expected. Transport of oxygen out through stomata and transport within leaf cells were not relevant to the question as asked. The average score was only 0.6 out of 3.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b2-2-4-adaptations-of-the-mitochondrion-for-production-of-atp-by-aerobic-cell-respiration",
+      "b2-2-5-adaptations-of-the-chloroplast-for-photosynthesis",
+      "b2-2-organelles-and-compartmentalization",
+      "b3-2-18-adaptations-of-phloem-sieve-tubes-and-companion-cells-for-translocation-of-sap",
+      "b3-2-transport",
+      "c1-3-18-synthesis-of-carbohydrates-amino-acids-and-other-carbon-compounds-using-the-products-of-the-calvin-cycle-and-mineral-nutrients",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Plasma cells secrete antibodies against specific antigens. Outline how plasma cells become activated.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A hybridoma is a cell produced by the fusion of a plasma cell with a tumour cell. Explain the advantages of using hybridoma cells in the production of monoclonal antibodies.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> use of monoclonal antibodies.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. macrophages/phagocytes recognize/engulf pathogen and display antigens ✔</p>\n<p>b. antigen binds to T cell/helper T cell / antigen causes activation of T cell ✔</p>\n<p>c. antigen binds to antibodies in membrane of B cells ✔</p>\n<p>d. (activated) T cells activate B cells (that have the antigen bound to them) ✔</p>\n<p>e. activated B cells divide to produce a clone of cells ✔</p>\n<p>f. active plasma cells develop from the clone of cells/from activated B cells ✔</p>\n<p><em>Accept B-lymphocyte and Tlymphocyte instead of B cell and T cell throughout the answer.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. endless cell divisions/unregulated mitosis (in hybridoma cells) ✔</p>\n<p>b. large clone/population of identical cells produced ✔</p>\n<p>c. all cells (in clone) produce same type of antibody ✔</p>\n<p>d. large amount of (chosen) antibody can be produced ✔</p>\n<p><em>For mpa it must be clear that it is the hybridoma cells not tumour cells that divide endlessly and that division is more than just rapid</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. pregnancy testing kits/detection of hCG (to diagnose pregnancy) ✔</p>\n<p>b. produce antibodies for treating arthritis/<em>C.difficile</em>/anthrax/psoriasis/ulcerative colitis/asthma/ankylosing spondylitis/Crohn’s disease/multiple sclerosis/HIV/other named disease if verified / targeting tumor cells in treatment of cancer <br/><em><strong>OR</strong></em> <br/>gives artificial/passive <span style=\"text-decoration:underline;\">immunity</span> (if injected) ✔</p>\n<p>c. blood typing/testing urine for drugs/other verified specific use of monoclonal antibodies ✔</p>\n<p><strong><em>Mark only the first answer</em></strong>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some explanations of the production of active plasma cells were excellent but weaker candidates were mostly very confused, with antigens and antibodies muddled up. Many candidates thought that plasma cells are already present and just need to be activated, rather than them being produced as a result of the activity of macrophages, T-cells and B-cells. There was too much focus on memory cells. The mean mark was low, 0.6 out of 3.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was another low-scoring question for most candidates. Many did not understand well enough how hybridoma cells are produced. There was also a lack of distinction between rapid proliferation of cells and proliferation that continues indefinitely.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b2-1-15-sodium-potassium-pumps-as-an-example-of-exchange-transporters",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-2-10-oscilloscope-traces-showing-resting-potentials-and-action-potentials",
+      "c2-2-neural-signalling",
+      "c3-2-9-multiplication-of-activated-b-lymphocytes-to-form-clones-of-antibody-secreting-plasma-cells",
+      "c3-2-defence-against-disease",
+      "d3-1-17-pregnancy-testing-by-detection-of-human-chorionic-gonadotropin-secretion",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how cladistics can be used to investigate evolutionary relationships.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Cladistics and other evolutionary evidence suggest that mammals and birds have a more recent common ancestor than mammals and amphibians. Draw a cladogram to show the relationships between mammals, birds and amphibians.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  a. (cladistics) shows evolutionary relationships through a common ancestor ✔\n </p>\n <p>\n  b. cladistics uses DNA/protein/derived/shared anatomical characteristics/traits ✔\n </p>\n <p>\n  c. time of divergence is related to the number of differences in DNA (base sequence) / protein (sequence of amino acids) ✔\n </p>\n <p>\n  d. homologous (versus analogous) traits are used to place an organism in a clade ✔\n </p>\n <p>\n  e. more shared characteristics mean a more recent common ancestor ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <img 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\"/>\n </p>\n <p>\n  <em>\n   What is important is that the proper relationships are shown not the style used\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Candidates found it hard to express themselves without contradiction.\n </p>\n <p>\n  Carrying examples into part (b) made for the most successful answers. Very few gained marks for providing answers that included molecular level cladistic evidence, e.g. DNA, protein sequencing, etc.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Candidates found it hard to express themselves without contradiction.\n </p>\n <p>\n  Examiners accepted a wide variety of diagrams and orientations as long as the relationships among amphibians, birds and mammals were appropriate. Nevertheless, there was poor performance on this question. It was the question most often left blank in Section A.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity"
+    ],
+    "subtopics": [
+      "a3-2-2-difficulties-classifying-organisms-into-the-traditional-hierarchy-of-taxa",
+      "a3-2-7-analysing-cladograms",
+      "a3-2-8-using-cladistics-to-investigate-whether-the-classification-of-groups-corresponds-to-evolutionary-relationships",
+      "a3-2-classification-and-cladistics-(hl-only)"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>Hormones are produced by one tissue in an organism and have their effect on a target tissue.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the genetic and hormonal control of male sexual characteristics in a human.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the hormone auxin controls phototropism in plant shoots.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast hormonal and nervous communication.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. male if (X and) Y chromosomes present ✔</p>\n<p>b. gene on Y chromosome/SRY promotes development of testes (from embryonic gonads) ✔</p>\n<p>c. testes secrete testosterone ✔</p>\n<p>d. testosterone stimulates sperm production/spermatogenesis ✔</p>\n<p>e. testosterone stimulates development (in fetus) of male genitals/primary sexual characteristics ✔</p>\n<p>f. testosterone stimulates development of male <span style=\"text-decoration:underline;\">secondary</span> sexual characteristics <br/><em><strong>OR</strong></em> <br/>testosterone causes changes to become adult male during puberty ✔</p>\n<p><em>Allow first alternative for mpf if two secondary sexual characteristics are named instead of the general term ‘secondary sexual characteristics’</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. grows/bends towards (brightest) light/sun ✔</p>\n<p>b. auxin moved from lighter to shadier side (of shoot/stem tip/apex) ✔</p>\n<p>c. moved by auxin efflux pumps ✔</p>\n<p>d. auxin promotes cell elongation/cell growth / auxin causes cell wall acidification/loosening ✔</p>\n<p>e. more growth on shady side of stem (due to auxin concentration gradient) ✔</p>\n<p>f. binds to auxin receptors (in target cells) ✔</p>\n<p>g. auxin/auxin receptors promote expression of genes (for growth)/for H<sup>+</sup> secretion into wall ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Similarities </em></p>\n<p>a. both used for communication between cells/tissues/organs/parts of the body / WTTE ✔</p>\n<p>b. both cause a response/change in specific/target cells <br/><em><strong>OR</strong></em><br/> both use chemicals that bind to receptors / hormones and neurotransmitters are both chemicals ✔</p>\n<p>c. both can stimulate or inhibit (processes in target cells) / WTTE ✔</p>\n<p>d. both can work over long distances/between widely separated parts of the body / WTTE ✔</p>\n<p>e. both under (overall) control of the brain/CNS / brain (has role in) sending hormones and nerve impulses ✔</p>\n<p>f. both use feedback mechanisms/negative feedback / both used in homeostasis ✔</p>\n<p><em>Differences</em></p>\n<p><em><img src=\"data:image/png;base64,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\"/></em></p>\n<p>m. example of use of hormonal and use of nervous communication<em> ✔</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some excellent answers that easily scored the three marks, but also many poorer ones, sometimes with no mention of genetic control or testosterone.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates tended either to know the mechanism of phototropism very well, or not at all. It wasn't always clear that the terms shoot, stem and leaf were correctly distinguished in some candidates' minds.  </p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Weaker candidates found this a real challenge as it was necessary to understand the nature of the nervous and endocrine systems well enough to be able to point out similarities and differences. Often there was no obvious comparing or contrasting in the answers.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c3-1-21-promotion-of-cell-growth-by-auxin",
+      "c3-1-22-interactions-between-auxin-and-cytokinin-as-a-means-of-regulating-root-and-shoot-growth",
+      "c3-1-3-integration-of-organs-in-animal-bodies-by-hormonal-and-nervous-signalling-and-by-transport-of-materials-and-energy",
+      "c3-1-integration-of-body-systems",
+      "d3-1-3-differences-between-male-and-female-sexes-in-sexual-reproduction",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.8",
+    "Question": "<div class=\"specification\">\n<p>Cellular processes at the molecular level are regulated by enzymes.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the process of DNA profiling.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of DNA polymerase III in DNA replication.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the factors that affect the rate of enzyme-controlled reactions in cells.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. sample of DNA obtained from person/hair/blood/mouth/crime scene ✔</p>\n<p>b. PCR used to amplify/make copies of DNA (in sample) ✔</p>\n<p>c. using <em>Taq</em> DNA polymerase / using DNA polymerase from thermophilic bacteria ✔</p>\n<p>d. tandem repeats amplified/used ✔</p>\n<p>e. gel electrophoresis used to separate DNA (into bands) ✔</p>\n<p>f. separation according to length of fragments/number of repeats <br/><em><strong>OR</strong></em><br/> fragments of same length/number of repeats travel same distance ✔</p>\n<p>g. pattern of bands/numbers of repeats is the profile/is unique to the individual ✔</p>\n<p>h. example of application/forensics/crime investigation/paternity ✔</p>\n<p><em>Do not accept ‘determine ancestry’ for mph</em>. <em>Other genes/chromosomes are more often used for that</em>.</p>\n<p><em>Accept STR for (short) tandem repeat in mpd</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. binds to template strand adjacent to a primer/at the primer ✔</p>\n<p>b. adds nucleotides to template strand/to single stranded DNA ✔</p>\n<p>c. using complementary base pairing ✔</p>\n<p>d. links nucleotides with sugar-phosphate/phosphodiester bonds ✔</p>\n<p>e. adds nucleotides/builds new strand in 5' <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>→</mo></math> 3' direction ✔</p>\n<p>f. lagging strand is built in short segments/Okazaki fragments/synthesis is discontinuous ✔</p>\n<p><em>Accept A to T and G to C instead of ‘complementary’ in mpc</em>.</p>\n<p><em>For mpb it must be clear that nucleotides, not bases, are added to an existing strand of DNA. Do not accept ‘to replication fork’ for this</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. temperature increases rate up to optimum and higher temperatures decrease rate / graph ✔</p>\n<p>b. faster molecular movement as temperature rises (so more substrate-active site collisions) ✔</p>\n<p>c. high temperature/heat causes denaturation/irreversible change to active site (so rate reduces) ✔</p>\n<p>d. rate decreased if pH is above and below optimum/if pH is too high or low / graph ✔</p>\n<p>e. pH affects shape/structure of enzyme/active site /affects ionization (of amino acids) ✔</p>\n<p>f. increases in substrate concentration cause rate to rise towards a plateau/WTTE / graph ✔</p>\n<p>g. greater chance of substrate-active site collisions with higher substrate concentration <br/><em><strong>OR</strong></em><br/> active sites saturated/all full at high substrate concentrations ✔</p>\n<p>h. higher enzyme concentration increases rate (as there are more active sites) ✔</p>\n<p>i. enzyme inhibitors/competitive inhibitors/non-competitive inhibitors reduce the rate ✔</p>\n<p>j. end-product inhibitors switch off metabolic pathway / act on enzyme at start of pathway rate ✔ <br/><em><strong>OR</strong></em><br/> allosteric site used to control enzyme activity by binding of (non-competitive) inhibitor</p>\n<p><em>Graphs can be used for mpa, mpd mpf and mph but x-axis must have the variable indicated</em>.</p>\n<p><em>For mpa there must be exponential rise to optimum then faster drop</em>.</p>\n<p><em>For mpd there must be a bellshaped curve but it need not be exactly symmetrical</em>.</p>\n<p><em>For mpf and mph there must be decreasing increases in rate towards a plateau</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some good outlines of DNA profiling. Most knew at least one application of the process. There was some confusion between profiling and sequencing and the use of tandem repeats was often missed.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>For the well-prepared candidate, this posed no problems and the four marks were easily earned. At the other end of the performance range almost all candidates mentioned Okazaki fragments — a benefit of giving something a distinctive name.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was expected to be high-scoring, because it is such a standard topic, but candidates may have been running out of steam by the time they reached it and many answers were too brief, with significant points omitted.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d1-1-5-applications-of-polymerase-chain-reaction-and-gel-electrophoresis",
+      "d1-1-8-functions-of-dna-primase-dna-polymerase-i-dna-polymerase-iii-and-dna-ligase-in-replication",
+      "d1-1-dna-replication"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify in which continent the fewest types of neonicotinoid were detected in honey samples.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data, outline the different use of thiamethoxam in North and South America.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the total percentage of honey samples contaminated with neonicotinoid pesticides in the continent with the lowest overall levels of contamination.\n  </p>\n  <p>\n  </p>\n  <p>\n   . . . . . . . . . . . . %\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the conclusions that can be drawn from the data in the graph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for the effect of a diet reduced in acetylcholine on the larval survival rate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the effect of clothianidin and thiacloprid treatments on the concentration of acetylcholine in royal jelly.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (g)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how neonicotinoids affect synaptic transmission in insects.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Oceania ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  thiamethoxam is the most used in North America (but not in South America) / CONVERSE\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  in South America they use different neonicotinoids to thiamethoxam ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n  .\n </p>\n <p>\n  <em>\n   Allow numerical comparison\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  57 (%) ✔\n </p>\n <p>\n  <em>\n   Allow range 56 % to 58 %\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  a. reduced acetylcholine does not affect larval survival in the first two days ✔\n </p>\n <p>\n  b. reduced acetylcholine causes increased mortality from day 3 onwards ✔\n </p>\n <p>\n  c. 90 % versus 40 % survival/other valid numerical comparison by day 5\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  (much) greater decrease in survival occurs between days 4 and 5/by day 5 for the reduced group ✔\n </p>\n <p>\n  <em>\n   Do not accept answers without times/ days\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  (larvae lacking acetylcholine/with reduced AcH cannot survive because) acetylcholine is a neurotransmitter taking message from one neuron to another in synapses of nervous tissues\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  messages would not pass from one neuron to the other\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  (larvae) unable to synthesise/produce AcH, so need it from their diet ✔\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  a. both neonicotinoids reduce the concentration of acetylcholine in royal jelly (compared to control) ✔\n </p>\n <p>\n  b. clothianidin reduces the concentration of acetylcholine in royal jelly more than thiacloprid (but perhaps not statistically different) ✔\n </p>\n <p>\n  c. clothianidin is used in smaller concentrations (than thiacloprid) so no firm conclusion can be obtained ✔\n </p>\n <p>\n  <em>\n   Need one similarity and one difference.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <p>\n  a. neonicotinoids bind to the (acetylcholine) receptor (in insects) ✔\n </p>\n <p>\n  b. (binding happens) in (cholinergic) synapses/at motor end plate/between motor neuron and muscles ✔\n </p>\n <p>\n  c. neonicotinoids bind irreversibly (to receptors)\n  <br/>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n  <br/>\n  (receptors are blocked so) acetylcholine is unable to bind ✔\n </p>\n <p>\n  d. acetylcholinesterase/enzymes cannot break down neonicotinoids ✔\n </p>\n <p>\n  e. (synaptic) transmission prevented ✔\n </p>\n <p>\n  f. (causing) insect paralysis/death ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  Almost all were able to name Oceania.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  Most identified that the proportion of the pesticide was greater in North than South America. This does not actually mean that a greater mass was used as these were relative frequency graphs.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  Most read the graphs correctly, stating between 56 and 58 %.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  An answer comparing the survival as the days progressed was expected. Answers tended to be too general.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  At least half of the candidates did not know that acetylcholine is a neurotransmitter (section 6.5).\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  A compare and contrast question, that required one similarity and one difference. Most were able to state that both treatments reduce the acetylcholine concentration in the royal jelly and that clothianidin reduced it more than thiacloprid. The more astute also commented on the differences in concentrations of the insecticides.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <p>\n  In general, the data analysis question was well attempted by the majority of students.\n </p>\n <p>\n  Those students who had studied synaptic transmission scored well. However, many knew the role of acetylcholine here, but not in Q(1)(e).\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c2-2-12-effects-of-exogenous-chemicals-on-synaptic-transmission",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>Cholinergic synapses use acetylcholine as their neurotransmitter. They are widespread in the body, passing on signals to muscle cells. These synapses are affected by neonicotinoid pesticides.</p>\n<p>The diagrams, which are not drawn to scale, show the synapse between two neurons and a detail of the synaptic cleft.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagrams, label with a letter H the hydrophilic end of a phospholipid.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagrams, label with a letter E a vesicle involved in exocytosis.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagrams, label with a letter P a location where a neonicotinoid pesticide could bind.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how depolarization of the membrane of an axon occurs.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how acetylcholine initiates an action potential in a postsynaptic membrane.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the action of the enzyme acetylcholinesterase.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain what happens to an enzyme if there is a change of pH.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>hydrophilic end of phospholipid shown ✔</p>\n<p><em>For 2a, i, ii and iii, accept letters written on the structure even if a line is not drawn. </em></p>\n<p><em>Award the mark if the full word is used to label the structure. Labels must be unambiguous. </em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>an exocytic vesicle shown ✔</p>\n<p><em>For 2 a, i, ii and iii, accept letters written on the structure even if a line is not drawn. </em></p>\n<p><em>Award the mark if the full word is used to label the structure. Labels must be unambiguous.</em></p>\n<p><em>Accept any of the three intact circles or the exocytosis shown within the box. </em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>any receptor protein on post synaptic membrane marked ✔</p>\n<p><em>For 2 a, i, ii and iii, accept letters written on the structure even if a line is not drawn. </em></p>\n<p><em>Award the mark if the full word is used to label the structure. </em></p>\n<p><em>Must unambiguously be pointed to a receptor on the synapse side. Accept labels of acetylcholinesterase</em>.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. (local depolarization) causes ion / sodium / voltage gated channels to open ✔</p>\n<p>b. altering membrane permeability to sodium ions/Na<sup>+</sup>/positive ions / Na<sup>+</sup> diffuses into the cytoplasm ✔</p>\n<p>c. membrane potential (of the axon) changes from negative to positive ✔</p>\n<p>d. a threshold potential is reached <span style=\"text-decoration:underline;\">and</span> an action potential is generated ✔</p>\n<p><em>Do not accept sodium pumps</em>.</p>\n<p><em>Mp b requires evidence that the student recognizes sodium is an ion</em>.</p>\n<p><em>Numerical values indicating change from −70 to +30/+40/+55 can be accepted</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. acetylcholine binds to the receptor protein ✔</p>\n<p>b. (causing a) change in <span style=\"text-decoration:underline;\">tertiary</span> structure / conformation of protein ✔</p>\n<p>c. diffusion/entry of ions / Na<sup>+</sup> through the receptor/channel protein allowed ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>breaks down acetylcholine (to acetyl and choline) ✔</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. change in pH can cause a change in the tertiary structure of the enzyme <br/><em><strong>OR</strong></em><br/> enzyme denatured ✔</p>\n<p>b. causing a change in the active site / substrate not able to bind ✔</p>\n<p>c. the enzyme will not work as efficiently / decreased rate of reaction ✔</p>\n<p>d. (may no longer be) the <span style=\"text-decoration:underline;\">optimum</span>/<span style=\"text-decoration:underline;\">optimal</span> pH for enzyme activity ✔</p>\n<p><em>Allow answer in the form of a graph</em>.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were numerous examples of ambiguous labels, for example, an H without an arrow placed beside the membrane making it unclear whether the student was indicating the hydrophobic or hydrophilic part of the membrane.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Both receptor proteins and acetylcholinesterase were accepted as proteins to which acetylcholine can bind. The markscheme did not accept locations other than on the synaptic side.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In many exams, candidates seemed to confuse the voltage gated ion channels with sodium-potassium pumps.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "b1-2-5-effect-of-ph-and-temperature-on-protein-structure",
+      "b1-2-proteins",
+      "b2-1-13-membrane-fluidity-and-the-fusion-and-formation-of-vesicles",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-1-5-localized-and-distant-effects-of-signalling-molecules",
+      "c2-1-chemical-signalling-[hl-only]",
+      "c2-2-6-release-of-neurotransmitters-from-a-presynaptic-membrane",
+      "c2-2-7-generation-of-an-excitatory-postsynaptic-potential",
+      "c2-2-neural-signalling",
+      "d2-1-13-phases-of-the-cell-cycle",
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-4-roles-of-mitosis-and-meiosis-in-eukaryotes",
+      "d2-1-7-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>A broad bean is the seed of a species, <em>Vicia faba</em>, in the Fabaceae, a family of flowering plants. This family contains many species that are used as sources of food.</p>\n<p style=\"text-align: left;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagram, label the testa and the radicle.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>An experiment was done to test the hypothesis that temperature affects the rate of germination of the broad bean. Outline <strong>two</strong> factors apart from temperature that should be controlled in this experiment.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the genus of the broad bean.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Broad beans are rich in starch and cellulose. Compare and contrast the structure of starch and cellulose.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Once the germinated bean grows above the ground, state the process used by the bean in the production of starch.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. testa labelled ✔</p>\n<p>b. radicle labelled ✔ (<em>must point to the bottom half of the embryo or the tip</em>).</p>\n<p><img height=\"163\" src=\"data:image/png;base64,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\" width=\"194\"/></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. same amount/type of soil/substrate / pH of soil ✔ <em>e.g.: heater </em></p>\n<p>b. same amount of water / humidity ✔</p>\n<p>c. oxygen/aeration ✔</p>\n<p>d. same measurement of germination / time ✔ <em>e.g.: emergence of radicle</em></p>\n<p>e. same number/source/age of seeds ✔</p>\n<p><em>Accept discussion of light only in as much as it relates to temperature</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Vicia</em> ✔</p>\n<p><em>No mark if the species name is included</em>.</p>\n<p><em>Mark can be awarded if the genus is not capitalized</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. both polymers of glucose molecules / polysaccharides <br/><em><strong>OR</strong></em><br/> both form 1,4 glycosidic bond ✔</p>\n<p>b. starch is formed by alpha glucose while cellulose is formed by beta glucose <br/><em><strong>OR</strong></em><br/> in starch C1 hydroxyl groups are found in same plane while in cellulose on different planes <br/><em><strong>OR</strong></em><br/> in cellulose, alternatively the beta glucose needs to be placed upside-down in order to have C1 hydroxyl groups on the same plane <br/><em><strong>OR</strong></em><br/> two types of starch (amylose and amylopectin) but one type of cellulose ✔</p>\n<p><em>One similarity and one difference</em>.</p>\n<p><em>Comparison to cellulose needed</em>.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>photosynthesis </p>\n<p><em>Do not accept condensation or polymerization; if list of processes given, mark the first answer</em>.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates did not correctly label the testa and in many cases the radicle was labelled too high up, pointing at the hypocotyl.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Several answers considered how light is needed for germination without any reference to its relationship to temperature.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question presented some confusion to Spanish speaking candidates since the word \"género\" is the same for \"genus\" and \"gender\", so some candidates write \"male/female\" in their answers. </p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates seemed to find it difficult to find similarities and differences in structure between starch and cellulose, and many wrote about their functions, or simply mentioned that both were made of \"glucose\" without referencing that they are both polymers. There was limited recognition that there are two forms of starch: amylose and amylopectin that differ in their degree of branching.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-1-5-polysaccharides-as-energy-storage-compounds",
+      "b1-1-carbohydrates-and-lipids",
+      "c1-3-15-carbon-fixation-by-rubisco",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.5",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Autosomal genes are located in chromosomes that are not sex chromosomes. The inheritance of autosomal genes is affected by whether the genes are linked or unlinked. Explain the <strong>two</strong> types of inheritance, using the example of parents that are heterozygous for two genes A and B.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how sperm are produced from diploid cells in the testis and how this production can be sustained over many decades of adult life.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Testis cells are eukaryotic cells. Identify the structures seen under the electron microscope in testis cells that are not present in prokaryotic cells.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. unlinked genes are on different chromosomes / vice versa ✔</p>\n<p>b. unlinked alleles migrate/segregate/are inherited independently (during meiosis) / vice versa ✔</p>\n<p>c. (In unlinked inheritance) there is an equal chance for all 4 options to occur / AB, Ab, aB, ab / vice versa ✔</p>\n<p>d. (dihybrid crosses involving) linked genes do not produce Mendelian ratios ✔</p>\n<p>e. (excluding recombinants) there is a 1:1 chance of inheriting the different options/AB or ab ✔</p>\n<p>f. in linked characteristics alleles might not migrate together if there is crossing over/ recombinants are formed ✔</p>\n<p>g. crossing over occurs in prophase I of meiosis ✔</p>\n<p>h. when the sister chromatids migrate in meiosis II the characteristics forming gametes are different/Ab, aB ✔</p>\n<p>i. formation of recombinants causes changes in ratio/probability of inheritance/genetic variation ✔</p>\n<p>j. correct named example of inheritance of linked/unlinked characteristics ✔</p>\n<p>k. Punnett/paired diagrams of both unlinked and linked characteristics ✔</p>\n<p>l. genes which are linked but are far apart on the chromosome can display independent assortment ✔</p>\n<p><em>Mp a could be awarded from an annotated diagram</em>.</p>\n<p><em>Allow annotated diagram of inheritance / could be shown in a Punnett square</em>.</p>\n<p><em>Allow annotated diagram of linked inheritance for mp f</em>.</p>\n<p><em>For mp K, accept sex linked examples involving two genes</em>.</p>\n<p><em>If the student interprets the question as sex-linked and autosomal inheritance, look for WTTE marks from the scheme</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. germinal epithelium divide endlessly (by mitosis giving rise to spermatagonia)</p>\n<p>b. spermatogonia are diploid/2n ✔</p>\n<p>c. spermatogonia divide by mitosis / provide a continuous supply throughout adult life ✔</p>\n<p>d. (some) spermatogonia enlarge forming primary spermatocytes ✔</p>\n<p>e. primary spermatocytes undergo the first division of meiosis/meiosis I ✔</p>\n<p>f. secondary spermatocytes produced are haploid/n ✔</p>\n<p>g. secondary spermatocytes undergo the second division of meiosis (to produce spermatids) ✔</p>\n<p>h. spermatids develop tails <br/><em><strong>OR</strong></em><br/> spermatids differentiate into spermatozoa / spermatids associate with Sertoli cells ✔</p>\n<p><em>Marks can be awarded to an annotated diagram</em>.</p>\n<p><em>Do not accept sperm or spermatozoa as equivalent to spermatagonia or spermatocytes</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. nucleus/nuclear membrane ✔</p>\n<p>b. membrane bound organelles ✔</p>\n<p>c. mitochondria ✔</p>\n<p>d. rough ER/smooth ER/golgi apparatus ✔</p>\n<p>e. lysosomes / centrioles ✔</p>\n<p>f. large/80S ribosomes / ribosomes attached to a membrane ✔</p>\n<p>g. linear chromosomes / histones ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Question 5 was not a popular question choice. Few candidates performed well on this question overall. Many students wrote vaguely about dominant and recessive alleles or confused gene linkage with \"sex-linkage\" or even multiple alleles and blood groups. </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Although many candidates performed very well, many answers were vague and simply stated that sperm cells were made by meiosis without any further details. Commonly, the stages where meiosis occurs and where mitosis occurs were muddled as well as whether primary or secondary spermatocytes were diploid or haploid. The terms spermatozoa and spermatids were commonly used interchangeably.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b1-1-5-polysaccharides-as-energy-storage-compounds",
+      "b1-1-carbohydrates-and-lipids",
+      "d3-1-14-spermatogenesis-and-oogenesis-in-humans",
+      "d3-1-reproduction",
+      "d3-2-10-incomplete-dominance-and-codominance",
+      "d3-2-3-genotype-as-the-combination-of-alleles-inherited-by-an-organism",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of hydrogen ions used in photosynthesis.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe how the structure of the chloroplast is adapted to its function in photosynthesis.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The enzyme Rubisco is used in carbon fixation during photosynthesis. Identify <strong>four</strong> other examples of proteins that illustrate the wide range of functions of this group of biochemicals in living organisms.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. hydrogen ions (and oxygen) are obtained from <span style=\"text-decoration:underline;\">photolysis</span> of water ✔</p>\n<p>b. (excited) electrons (from Photosystem II) contribute to generate a hydrogen ion/proton gradient <br/><em><strong>OR</strong></em><br/> protons build up in the thylakoid space/inside the thylakoid ✔</p>\n<p>c. ATP synthase generates ATP by chemiosmosis/using the proton gradient/by movement of protons from the thylakoid space to the stroma ✔</p>\n<p>d. (two) high energy/excited electrons (from Photosystem II) are passed through an electron transport chain ✔</p>\n<p>e. NADP accepts H<sup>+</sup> (from the stroma) / electrons to produce NADPH<sup>+</sup>/reduced NADP ✔</p>\n<p>f. ATP/reduced NADP/NADPH<sup>+</sup> are used by light-independent reactions/Calvin cycle in the stroma ✔</p>\n<p>g. (in Calvin cycle) carbon fixation to ribulose bisphosphate/RuBP produces G3P ✔</p>\n<p>h. ATP is used to transform G3P to TP ✔</p>\n<p>i. reduced NADP/NADPH<sup>+</sup> is used to transform G3P to TP ✔</p>\n<p><em>Accept answers in an annotated diagram</em>.</p>\n<p><em>Accept NADPH<sub>2</sub>/NADPH/NADPH + H<sup>+</sup> in place of NADPH<sup>+</sup></em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. thylakoids have a small internal volume to maximize hydrogen gradient / quickly increase concentration gradient ✔</p>\n<p>b. many grana / thylakoids give large surface area ✔</p>\n<p>c. (grana) contain (photosynthetic) pigments/electron carriers/ATP synthase enzymes ✔</p>\n<p>d. (photosynthetic) pigments/chlorophyll arranged into photosystems allowing maximum absorption of light energy ✔</p>\n<p>e. stroma has suitable pH/ enzymes of Calvin/light independent cycle ✔</p>\n<p>f. lamellae connect/separate grana maximizing photosynthetic efficiency ✔</p>\n<p><em>Accept diagram showing the disposition in space</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. insulin receptors start the cellular signalling pathway/other receptor</p>\n<p>b. leptin is a hormone / other protein hormone ✔</p>\n<p>c. immunoglobulins/antibodies defend body from disease ✔</p>\n<p>d. rhodopsin/photosystems convert light energy to electrical impulses ✔</p>\n<p>e. keratin/collagen/other example is a structural protein ✔</p>\n<p>f. tubulin/microtubules part of cytoskeleton/ involved in cell division</p>\n<p>g. ATP synthase is an enzyme that catalyzes the formation of ATP / other enzyme and function ✔</p>\n<p>h. fibrin/fibrinogen is a protein involved in clotting ✔</p>\n<p>i. hemoglobin/sodium potassium pump/other example is a transport protein ✔</p>\n<p>j. actin/myosin/other example is involved in muscle contraction ✔</p>\n<p>k. any other named example and function ✔</p>\n<p>l. a second other named example and function ✔</p>\n<p>m. spider silk is used to form spider webs/capture prey ✔</p>\n<p><em>Accept only one example of each protein type for example only one enzyme or only one hormone etc</em>. </p>\n<p><em>Mp k can be awarded only once</em>.</p>\n<p><em>Mp I can be awarded only once</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Question 6 was a popular question.</p>\n<p>A relatively high scoring section, though many students failed to discuss the role of hydrogen in the light independent reactions.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Question 6 was a popular question.</p>\n<p>Well answered.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Question 6 was a popular question.</p>\n<p>Well answered by most except for when students gave multiple examples of proteins of the same functional type; for example, four examples of enzymes when the question asked for an illustration of the wide range of functions of proteins.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-2-12-relationship-of-form-and-function-in-globular-and-fibrous-proteins",
+      "b1-2-6-chemical-diversity-in-the-r-groups-of-amino-acids-as-a-basis-for-the-immense-diversity-in-protein-form-and-function",
+      "b1-2-proteins",
+      "b2-2-5-adaptations-of-the-chloroplast-for-photosynthesis",
+      "b2-2-organelles-and-compartmentalization",
+      "c1-3-13-reduction-of-nadp-by-photosystem-i",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the structure of the DNA molecule.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of <strong>three</strong> enzymes used in the replication of DNA.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Insulin is produced in β cells of the pancreas and not in other cells of the human body. Explain how differentiation of cells and regulation of gene expression allow proteins such as insulin to be produced in only certain types of body cell.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. two stranded/double <span style=\"text-decoration:underline;\">helix</span> ✔</p>\n<p>b. antiparallel / strands running in opposite directions <br/><em><strong>OR</strong></em><br/> one strand organized 5’ to 3’ and the other 3’ to 5’ ✔</p>\n<p>c. sugar-phosphate backbone ✔</p>\n<p>d. each strand formed by chains of nucleotides ✔</p>\n<p>e. each nucleotide is formed by a phosphate, a deoxyribose and a base / annotated diagram of a nucleotide clearly indicated as a nucleotide ✔</p>\n<p>f. the bases are adenine, guanine, cytosine and thymine ✔</p>\n<p>g. strands held together by hydrogen bonds (between complementary base pairs) <br/><em><strong>OR</strong></em><br/> A pairs with T and C pairs with G ✔</p>\n<p><em>Both helix and two strands needed for mp a. Double helix is sufficient for the mark</em>.</p>\n<p><em>Points can be awarded to annotated diagrams</em>.</p>\n<p><em>For mp c, the explicit label sugar phosphate backbone is required</em>.</p>\n<p><em>To award mp d from a diagram, at least three pairs of nucleotides should be shown</em>.</p>\n<p><em>For mp e, the diagram would need to be labelled as a nucleotide</em>.</p>\n<p><em>For mp e, expect deoxyribose not just sugar</em>.</p>\n<p><em>The written names of the bases are required for mp f</em>.</p>\n<p><em>Do not penalize twice for mp f and g for using letters</em>.</p>\n<p><em>If they only ever use the symbols A,T,C and G they are ineligible for mp f. If however, they say A pairs with T and C pairs with G, then they would get mp g. If they wrote adenine pairs with thymine and cytosine pairs with guanine, then they would obtain both mp f and mp g</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. helicase to separate/unwind DNA strands ✔</p>\n<p>b. gyrase / toposiomerase to relax the tension as bacterial DNA is being uncoiled / prevent supercoiling ✔</p>\n<p>c. primase to synthesise primers ✔</p>\n<p>d. polymerase (I) removes primers and replaces with nucleotide ✔</p>\n<p>e. polymerase (III) adds nucleotides (in a 5' to 3' direction) ✔</p>\n<p>f. ligase joins (Okazaki) fragments together ✔</p>\n<p><em>Accept the enzyme name without ‘DNA’ included; e.g. ‘DNA ligase’ or ‘ligase’ can both be accepted</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. insulin production is determined by a gene ✔</p>\n<p>b. gene for insulin (is found in all cells), but only activated in (β cells of) pancreas ✔</p>\n<p>c. stem cells differentiate into specialized cells/(into pancreatic β) ✔</p>\n<p>d. during differentiation some genes are turned on and others off ✔</p>\n<p>e. insulin is a hormone that regulates the amount of glucose/sugar in blood ✔</p>\n<p>f. pancreatic β cells have sensors that detect glucose level in blood ✔</p>\n<p>g. an increase in glucose will increase transcription of mRNA of insulin ✔</p>\n<p>h. the site of transcription of insulin is in the pancreatic β cells ✔</p>\n<p>i. gene transcription is regulated by proteins that bind to specific base sequence in DNA/ enhancers/silencers/promoter proximal elements ✔</p>\n<p>j. regulatory sequences/proteins are specific to the gene they regulate / insulin regulator proteins are only found in in the pancreatic β cells ✔</p>\n<p>k. (DNA) methylation (usually) inhibits gene expression / (histone) acetylation promotes gene expression / tightness of coiling of DNA around histones affects gene expression ✔</p>\n<p><em>Accept sugar as equivalent to glucose</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A surprising number of students failed to discuss nucleotides explicitly.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In general, scores for this question were quite low. Candidates were too vague in their answers. Many failed to discuss chemical modification of DNA and the role of non-coding sequences in the regulation of gene expression.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "a2-2-13-cell-differentiation-as-the-process-for-developing-specialized-tissues-in-multicellular-organisms",
+      "a2-2-cell-structure",
+      "d1-1-3-role-of-helicase-and-dna-polymerase-in-dna-replication",
+      "d1-1-8-functions-of-dna-primase-dna-polymerase-i-dna-polymerase-iii-and-dna-ligase-in-replication",
+      "d1-1-dna-replication",
+      "d2-2-4-epigenesis-as-the-development-of-patterns-of-differentiation-in-the-cells-of-a-multicellular-organism",
+      "d2-2-gene-expression-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows some of the metabolic processes taking place in a plant cell.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the process Y and state the name of the organelle where it takes place in a plant cell.</p>\n<p>Process Y:</p>\n<p>Name of the organelle:</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the molecule Z.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction which converts excess monosaccharides to polysaccharides.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The process X uses oxygen and produces ATP. Identify the process X.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the uses of ATP in plant cells.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>With reference to the diagram, identify <strong>one</strong> example of catabolism.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>process Y: photosynthesis ✔</p>\n<p>organelle: chloroplast ✔</p>\n<p><em>Both needed</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>glycerol /glycerin ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>condensation/dehydration/synthesis/anabolic/anabolism ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"text-decoration:underline;\">aerobic</span> respiration ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. used as an energy source ✔</p>\n<p>b. supplies/releases energy for biochemical reactions ✔</p>\n<p>c. photosynthesis/active transport/other verifiable example of reaction or process ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. (letter X) breakdown of monosaccharides/respiration ✔</p>\n<p>b. (letter Y) hydrolysis/photolysis in photosynthesis/oxidation of water ✔</p>\n<p><em>Answer must come from the diagram</em>.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>This was generally answered correctly.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>This was generally missed.</p>\n<p> </p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>This was often answered correctly.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>Although many answered cell respiration, aerobic respiration was expected since the question defined aerobic respiration.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>Expressing the nature of ATP in an outline of its use to plants was problematic for many students. Rather than a source of energy it was thought to be energy itself. Many processes use ATP in one part of the pathway or another, so a wide variety of seemingly contradictory answers received credit. For example, ATP is used in cell respiration during glycolysis. Credit was given for glycolysis as well as for respiration.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The diagram was generally confusing to candidates.</p>\n<p>Too often candidates did not make reference to the diagram when giving an example of catabolism. Some thought that ADP changing to ATP was catabolism. This probably comes from a failure to understand paired reactions.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b1-1-2-production-of-macromolecules-by-condensation-reactions-that-link-monomers-to-form-a-polymer",
+      "b1-1-carbohydrates-and-lipids",
+      "c1-1-3-anabolic-and-catabolic-reactions",
+      "c1-1-enzymes-and-metabolism",
+      "c1-2-4-cell-respiration-as-a-system-for-producing-atp-within-the-cell-using-energy-released-from-carbon-compounds",
+      "c1-2-cell-respiration",
+      "c1-3-18-synthesis-of-carbohydrates-amino-acids-and-other-carbon-compounds-using-the-products-of-the-calvin-cycle-and-mineral-nutrients",
+      "c1-3-2-conversion-of-carbon-dioxide-to-glucose-in-photosynthesis-using-hydrogen-obtained-by-splitting-water",
+      "c1-3-photosynthesis",
+      "c4-2-18-ecosystems-as-carbon-sinks-and-carbon-sources",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p>Squid have been used for research on nerve impulses. The mechanism of nerve transmission in these animals is the same as that in humans. The image shows an oscilloscope trace from a nerve impulse in a squid’s giant axon.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[squid] Pixabay.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the resting potential for this axon.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of the sodium–potassium pump in maintaining the resting potential.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>−65 <span style=\"text-decoration:underline;\">mV</span> ✔</p>\n<p><em>Unit required; minus sign required. Accept answers from −62mV to −65mV</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. sodium/potassium pump pumps sodium ions Na<sup>+</sup> out of axon and pumps potassium ions/K<sup>+</sup> in ✔</p>\n<p>b. requires energy/ATP/against concentration gradients/active transport ✔</p>\n<p>c. three sodium ions pumped out for every two potassium ions pumped in ✔</p>\n<p>d. results in charge difference between inside and outside where outside is positive relative to inside ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Strong students answered this question showing clear understanding of the process. However, most students showed poor understanding with errors: correct direction of ions being pumped not known; the direction of ions during repolarization was mixed up with resting state. Few wrote about the charge difference between inside and outside of the axon during the resting potential.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b2-1-15-sodium-potassium-pumps-as-an-example-of-exchange-transporters",
+      "b2-1-membranes-and-membrane-transport",
+      "c2-2-10-oscilloscope-traces-showing-resting-potentials-and-action-potentials",
+      "c2-2-neural-signalling",
+      "c3-2-9-multiplication-of-activated-b-lymphocytes-to-form-clones-of-antibody-secreting-plasma-cells",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>The image shows the wings of an insect, bird and bat.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: [insect wing] Halvard Hatlen https://upload.wikimedia.org/wikipedia/commons/0/0f/Dip-trichoceridae-wing.png. [bird wing] University of Maryland, Department of Geology. [bat wing] University of Maryland, Department of Geology.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Based on their structure, the insect and bat wings are analogous. Outline what is meant by an analogous trait.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The bird and bat wings share homologous bone structures whereas the insect wing does not. Outline the conclusion that can be drawn about the evolution of these wings, based on homologous structures.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how cladistics can be used to investigate evolutionary relationships.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Cladistics and other evolutionary evidence suggest that mammals and birds have a more recent common ancestor than mammals and amphibians. Draw a cladogram to show the relationships between mammals, birds and amphibians.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. analogous traits have a different evolutionary history/ancestry ✔</p>\n<p>b. different structures are adaptations for flight ✔</p>\n<p>c. selective pressure leads to a similar solution to the problem of flying ✔</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. bird and bat share a more recent common ancestor (than the insect) ✔</p>\n<p>b. bird and bat are more closely related than insect and bat / insect and bird ✔</p>\n<p>c. bird and bat wings evolved from a common ancestor (by natural selection) ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. (cladistics) shows evolutionary relationships through a common ancestor ✔</p>\n<p>b. cladistics uses DNA/protein/derived/shared anatomical characteristics/traits ✔</p>\n<p>c. time of divergence is related to the number of differences in DNA (base sequence) / protein (sequence of amino acids) ✔</p>\n<p>d. homologous (versus analogous) traits are used to place an organism in a clade ✔</p>\n<p>e. more shared characteristics mean a more recent common ancestor ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>What is important is that the proper relationships are shown not the style used</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates found it hard to express themselves without contradiction.</p>\n<p>In both parts the key to successful answers was in using the organisms given in the example. Contradictions were thus avoided.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates found it hard to express themselves without contradiction.</p>\n<p>In both parts the key to successful answers was in using the organisms given in the example. Contradictions were thus avoided.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates found it hard to express themselves without contradiction.</p>\n<p>Carrying examples into part (b) made for the most successful answers. Very few gained marks for providing answers that included molecular level cladistic evidence, e.g. DNA, protein sequencing, etc.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates found it hard to express themselves without contradiction.</p>\n<p>Examiners accepted a wide variety of diagrams and orientations as long as the relationships among amphibians, birds and mammals were appropriate. Nevertheless, there was poor performance on this question. It was the question most often left blank in Section A.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity"
+    ],
+    "subtopics": [
+      "a3-2-2-difficulties-classifying-organisms-into-the-traditional-hierarchy-of-taxa",
+      "a3-2-7-analysing-cladograms",
+      "a3-2-8-using-cladistics-to-investigate-whether-the-classification-of-groups-corresponds-to-evolutionary-relationships",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "a4-1-4-evidence-for-evolution-from-homologous-structures",
+      "a4-1-5-convergent-evolution-as-the-origin-of-analogous-structures",
+      "a4-1-evolution-and-speciation"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the structure of proteins.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Cells produce a large variety of proteins with different sequences of amino acids. Explain how this is done.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the range of functions of proteins in cells.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. protein formed from amino acids <br/><em><strong>OR</strong></em> <br/>20 different amino acids ✔</p>\n<p>b. linked together by peptide bonds ✔</p>\n<p>c. may consist of one or more polypeptides linked together ✔</p>\n<p>d. have a specific shape/conformation/folding ✔</p>\n<p>e. shape determines function ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. protein is produced when a gene is expressed / switched on ✔</p>\n<p>b. genetic code/codons consists of three nucleotides/bases/base triplet ✔</p>\n<p>c. genetic code in DNA is <span style=\"text-decoration:underline;\">transcribed</span>/<span style=\"text-decoration:underline;\">transcription</span> (to mRNA) ✔</p>\n<p>d. mRNA exits the nucleus ✔</p>\n<p>e. mRNA (code) is <span style=\"text-decoration:underline;\">translated</span>/<span style=\"text-decoration:underline;\">translation</span> into a polypeptide/protein ✔</p>\n<p>f. amino acid sequence/polypeptide formation occurs at a ribosome ✔</p>\n<p>g. one codon translates to one amino acid ✔</p>\n<p>h. tRNA carries code for specific amino acids ✔</p>\n<p>i. tRNA anticodon matches with specific codon in mRNA ✔</p>\n<p>j. amino acids joined (by peptide bonds) to form polypeptide ✔</p>\n<p>k. sequence of amino acids determined by order of bases/nucleotides/codons in DNA/mRNA ✔</p>\n<p>l. proteins vary based on which amino acids are used <span style=\"text-decoration:underline;\">and</span> their order <br/><em><strong>OR</strong></em><br/> protein variety increases by mutations to DNA ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. enzymes that catalyse/speed up/control (the rate and direction of) metabolic reactions ✔</p>\n<p>b. proteins can be hormones which are chemical messengers to cells ✔</p>\n<p>c. proteins that transport through the membrane such as channel/carrier/pumps / that regulate what enters/leaves the cell ✔</p>\n<p>d. hemoglobin in red blood cells that transports/ binds oxygen ✔</p>\n<p>e. membrane proteins for cell/tissue recognition/cell adhesion/communication ✔</p>\n<p>f. structural elements of muscle fibre/actin/myosin for movement <em><br/><strong>OR</strong><br/></em> spindle fibres move chromosomes ✔</p>\n<p>g. histones condense DNA into chromosomes ✔</p>\n<p><em>The question requires answer that the function is <span style=\"text-decoration:underline;\">in cells</span></em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by about 42 % of candidates.</p>\n<p>Many candidates used the terms primary, secondary, tertiary and quaternary as their basic outline. These terms occur in AHL but not in the core. Therefore, without an outline of the meaning of these terms few marks could be earned.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by about 42 % of candidates.</p>\n<p>Some brilliant, clear answers were given earning the maximum marks. However, coherent essays explaining protein synthesis were rare. Some students dwelled on transcription without ever mentioning translation. Codons, anticodons and their locations were not clearly understood. Valid information did appear but it was frequently mixed up or incomplete.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by about 42 % of candidates.</p>\n<p>Generally good answers were received for those who read the question correctly, i.e. protein function within cells.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-4-infinite-variety-of-possible-peptide-chains",
+      "b1-2-5-effect-of-ph-and-temperature-on-protein-structure",
+      "b1-2-proteins",
+      "c3-1-3-integration-of-organs-in-animal-bodies-by-hormonal-and-nervous-signalling-and-by-transport-of-materials-and-energy",
+      "c3-1-integration-of-body-systems",
+      "d3-1-3-differences-between-male-and-female-sexes-in-sexual-reproduction",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the process of inhalation.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the process of gas exchange taking place in the alveoli.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss the relationship between atmospheric carbon dioxide concentration and global temperatures.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. diaphragm contracts / moves downwards/flattens ✔</p>\n<p>b. <span style=\"text-decoration:underline;\">external</span> intercostal muscles contract ✔</p>\n<p>c. (muscle contraction) moves the rib cage upwards and outwards ✔</p>\n<p>d. increases volume of the thorax / lungs ✔</p>\n<p>e. difference in pressure/decreasing pressure causes air to flow into lungs / lungs inflate ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. O<sub>2</sub> diffuses into blood and CO<sub>2</sub> diffuses out from blood ✔</p>\n<p>b. blood entering the alveoli is high in CO<sub>2</sub>/low in O<sub>2</sub> ✔ <br/><em><strong>OR</strong></em><br/> air in alveolus is high in O<sub>2</sub>/low in CO<sub>2</sub> ✔</p>\n<p>c. diffusion (in either direction) take place due to concentration gradients ✔</p>\n<p>d. concentration gradients maintained by ventilation/blood flow ✔</p>\n<p>e. large surface area created by many alveoli/spherical shape of alveoli for more efficient diffusion ✔</p>\n<p>f. rich supply of capillaries (around alveoli) allows efficient exchange ✔</p>\n<p>g. type I pneumocytes are thin to allow easy diffusion/short distances ✔</p>\n<p>h. gases must dissolve in liquid lining of alveolus in order to be exchanged ✔</p>\n<p>i. type II pneumocytes secrete surfactants to reduce surface tension/prevent lungs sticking together ✔</p>\n<p>j. type II pneumocytes create moist conditions in alveoli ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. greenhouse effect keeps Earth warm ✔</p>\n<p>b. (over-time) earth’s temperature has fluctuated naturally ✔</p>\n<p>c. changes in human activities have led to increases in CO<sub>2</sub> concentration ✔</p>\n<p>d. CO<sub>2</sub> absorbs infrared/long wave radiation / trapping heat ✔</p>\n<p>e. increase in atmospheric CO<sub>2</sub> (concentration) correlates with/causes increased global average temperature ✔</p>\n<p>f. use of fossil fuels increases atmospheric CO<sub>2</sub> ✔</p>\n<p>g. deforestation removes a carbon sink / less CO<sub>2</sub> absorbed ✔</p>\n<p>h. loss of polar ice causes less reflection of surface light/ more reradiation as heat contributing to (global) warming ✔</p>\n<p>i. CO<sub>2</sub> is not the only greenhouse gas/ there are other greenhouse gases ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by approximately 56 % of candidates.</p>\n<p>Done well by many. Diaphragm contraction and external intercostal muscle contraction was commonly known along with the idea that the rib cage moves upwards and outwards. Further understanding of the consequent pressure changes in the thorax was not clear.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by approximately 56 % of candidates.</p>\n<p>Some coherent, clear answers were given earning the maximum marks. However, commonly, valid ideas were given but were jumbled. Coherent writing was usually missing. The term diffusion was missing in many answers. The idea that alveoli are surrounded by capillaries to enable exchange of gases between the air in alveolus and the blood did not seem to be a mental picture for many. Concentration gradients as a reason for diffusion of oxygen or carbon dioxide between the alveoli and the blood was rarely explained. However, it seemed that everyone knew about surfactants from type II pneumocytes.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was attempted by approximately 56 % of candidates.</p>\n<p>This question was actually quite narrow as reflected in the number of marks it could earn. Some candidates understood which part of the global warming topic was being asked of them and stuck to the topic. Good applications to the carbon cycle were given. Strong responses avoided deviations into consequences and how humans should behave. Several misunderstandings surfaced. For example that CO<sub>2</sub> was responsible for the breakdown of the ozone layer. Many seemed to tie ozone layer destruction and global warming information together in their explanation. Atmospheric carbon dioxide and the ozone layer were confused. Some thought that the ozone layer traps heat.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-1-4-adaptations-of-mammalian-lungs-for-gas-exchange",
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange",
+      "d1-3-7-mutation-as-a-source-of-genetic-variation",
+      "d1-3-mutations-and-gene-editing",
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows the stages in the cell cycle.</p>\n<p><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State processes occurring during interphase.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the letter C, label the stage on the diagram where chromosome supercoiling occurs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Using the letter M, label the stage on the diagram where sister chromatids migrate to opposite poles.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the outcomes of a cell dividing either by mitosis or meiosis.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The mitotic index is an important prognostic tool for predicting the response of cancer cells to chemotherapy. Outline how the mitotic index is calculated.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. DNA replication ✔</p>\n<p>b. cell growth ✔</p>\n<p>c. duplication of organelles/mitochondria / production of microtubules/protein synthesis ✔</p>\n<p><em>Accept first two answers only</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>prophase ✔</p>\n<p><em>The stage should be clearly labelled</em>.</p>\n<p><em>If more than one stage is shown the candidate does not receive a mark</em>.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>anaphase ✔</p>\n<p><em>The stage should be clearly labelled</em>.</p>\n<p><em>If more than one stage is shown the candidate does not receive a mark</em>.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mitosis produces two daughter cells while meiosis four ✔</p>\n<p>b. mitosis produces cells with same number of chromosomes (2n) while in meiosis they are halved (n) ✔</p>\n<p>c. mitosis produces body cells but meiosis produces gametes <br/><em><strong>OR</strong></em><br/> mitosis produces genetically identical cells but meiosis does not ✔</p>\n<p><em>Allow answers in a table</em>.</p>\n<p><em>Reference to both has to be present for the</em> mark.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>number of cells (seen under the microscope) undergoing mitosis divided by the total number of cells (observed in sample area) ✔</p>\n<p><em>Can be given as a %</em>.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were several G2 comments about Q2a, as it could be said that several processes were occurring. Perhaps it should have been more specific. Two out of DNA replication, cell growth and duplication of organelles were expected for the two marks. A surprising number of candidates in all languages, confused 'processes' with 'phases' and stated that interphase consisted of G1, S and G2. Most managed to label prophase and anaphase correctly on the diagram as required in part (b). The answers to part (b) were generally clear, but some lost marks for not comparing the same point. For example 'Mitosis produces diploid cells, but meiosis produces gametes' did not score a mark. The mitotic index was well known.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were several G2 comments about Q2a, as it could be said that several processes were occurring. Perhaps it should have been more specific. Two out of DNA replication, cell growth and duplication of organelles were expected for the two marks. A surprising number of candidates in all languages, confused 'processes' with 'phases' and stated that interphase consisted of G1, S and G2. Most managed to label prophase and anaphase correctly on the diagram as required in part (b). The answers to part (b) were generally clear, but some lost marks for not comparing the same point. For example 'Mitosis produces diploid cells, but meiosis produces gametes' did not score a mark. The mitotic index was well known.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were several G2 comments about Q2a, as it could be said that several processes were occurring. Perhaps it should have been more specific. Two out of DNA replication, cell growth and duplication of organelles were expected for the two marks. A surprising number of candidates in all languages, confused 'processes' with 'phases' and stated that interphase consisted of G1, S and G2. Most managed to label prophase and anaphase correctly on the diagram as required in part (b). The answers to part (b) were generally clear, but some lost marks for not comparing the same point. For example 'Mitosis produces diploid cells, but meiosis produces gametes' did not score a mark. The mitotic index was well known.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were several G2 comments about Q2a, as it could be said that several processes were occurring. Perhaps it should have been more specific. Two out of DNA replication, cell growth and duplication of organelles were expected for the two marks. A surprising number of candidates in all languages, confused 'processes' with 'phases' and stated that interphase consisted of G1, S and G2. Most managed to label prophase and anaphase correctly on the diagram as required in part (b). The answers to part (b) were generally clear, but some lost marks for not comparing the same point. For example 'Mitosis produces diploid cells, but meiosis produces gametes' did not score a mark. The mitotic index was well known.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were several G2 comments about Q2a, as it could be said that several processes were occurring. Perhaps it should have been more specific. Two out of DNA replication, cell growth and duplication of organelles were expected for the two marks. A surprising number of candidates in all languages, confused 'processes' with 'phases' and stated that interphase consisted of G1, S and G2. Most managed to label prophase and anaphase correctly on the diagram as required in part (b). The answers to part (b) were generally clear, but some lost marks for not comparing the same point. For example 'Mitosis produces diploid cells, but meiosis produces gametes' did not score a mark. The mitotic index was well known.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids",
+      "b1-2-5-effect-of-ph-and-temperature-on-protein-structure",
+      "b1-2-proteins",
+      "c2-2-6-release-of-neurotransmitters-from-a-presynaptic-membrane",
+      "c2-2-7-generation-of-an-excitatory-postsynaptic-potential",
+      "c2-2-neural-signalling",
+      "d2-1-13-phases-of-the-cell-cycle",
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-4-roles-of-mitosis-and-meiosis-in-eukaryotes",
+      "d2-1-7-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>The image represents the structure of the enzyme Rubisco from common pea (<em>Pisum sativum</em>).</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> function of Rubisco.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State a role of the active site of an enzyme.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the genus of the plant where this Rubisco is found.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> factor that could affect the activity of Rubisco.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. enzyme involved in <span style=\"text-decoration:underline;\">photosynthesis</span>/<span style=\"text-decoration:underline;\">carbon fixation</span>/<span style=\"text-decoration:underline;\">Calvin cycle</span> <br/><em><strong>OR</strong></em><br/> speeds up chemical reactions in <span style=\"text-decoration:underline;\">photosynthesis</span> ✔</p>\n<p>b. carboxylation of RuBP ✔</p>\n<p>c. production of carbohydrate in photosynthesis ✔</p>\n<p>d. addition of carbon dioxide to form glucose (in Calvin cycle) ✔</p>\n<p><em>Either photosynthesis or carbon fixation must be mentioned</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>site to which <span style=\"text-decoration:underline;\">substrate</span> binds <br/><em><strong>OR</strong></em><br/> catalytic site ✔</p>\n<p><em>Give credit for the lock and key analogy</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Pisum</em> ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. name of factor ✔</p>\n<p>b. how it affects rate of reaction ✔</p>\n<p><em>Example answer</em>:</p>\n<p><em>temperature</em> ✔</p>\n<p><em>as the temperature increases the rate of reaction increases until it reaches a maximum and then decreases rapidly</em> ✔</p>\n<p><em>Accept answers in a graph</em>.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some G2 comments about the function of Rubisco. It is mentioned in 2.4. and the stem did say that it was an enzyme. Simply stating that it was an enzyme involved in photosynthesis was sufficient for the mark. A detailed function was not required. Most could state the role of the active site and that the genus was <em>Pisume. </em>The word genus in this context confused some French candidates who answered 'male or female'. 3(d) was simply testing the factors controlling enzyme action. Weaker students just listed several factors. When it says one factor, only the first is considered. The difference between heat and temperature was occasionally confused. The examiners were looking for the effect of increasing and decreasing the factor. Many students seemed to be obsessed with denaturing. For example the answer 'temperature' (first mark): as the temperature is too high the enzyme denatures (no second mark as no mention of decreasing temperature). Few used the collision theory idea which was expected.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some G2 comments about the function of Rubisco. It is mentioned in 2.4. and the stem did say that it was an enzyme. Simply stating that it was an enzyme involved in photosynthesis was sufficient for the mark. A detailed function was not required. Most could state the role of the active site and that the genus was <em>Pisume. </em>The word genus in this context confused some French candidates who answered 'male or female'. 3(d) was simply testing the factors controlling enzyme action. Weaker students just listed several factors. When it says one factor, only the first is considered. The difference between heat and temperature was occasionally confused. The examiners were looking for the effect of increasing and decreasing the factor. Many students seemed to be obsessed with denaturing. For example the answer 'temperature' (first mark): as the temperature is too high the enzyme denatures (no second mark as no mention of decreasing temperature). Few used the collision theory idea which was expected.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some G2 comments about the function of Rubisco. It is mentioned in 2.4. and the stem did say that it was an enzyme. Simply stating that it was an enzyme involved in photosynthesis was sufficient for the mark. A detailed function was not required. Most could state the role of the active site and that the genus was <em>Pisume. </em>The word genus in this context confused some French candidates who answered 'male or female'. 3(d) was simply testing the factors controlling enzyme action. Weaker students just listed several factors. When it says one factor, only the first is considered. The difference between heat and temperature was occasionally confused. The examiners were looking for the effect of increasing and decreasing the factor. Many students seemed to be obsessed with denaturing. For example the answer 'temperature' (first mark): as the temperature is too high the enzyme denatures (no second mark as no mention of decreasing temperature). Few used the collision theory idea which was expected.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some G2 comments about the function of Rubisco. It is mentioned in 2.4. and the stem did say that it was an enzyme. Simply stating that it was an enzyme involved in photosynthesis was sufficient for the mark. A detailed function was not required. Most could state the role of the active site and that the genus was <em>Pisume. </em>The word genus in this context confused some French candidates who answered 'male or female'. 3(d) was simply testing the factors controlling enzyme action. Weaker students just listed several factors. When it says one factor, only the first is considered. The difference between heat and temperature was occasionally confused. The examiners were looking for the effect of increasing and decreasing the factor. Many students seemed to be obsessed with denaturing. For example the answer 'temperature' (first mark): as the temperature is too high the enzyme denatures (no second mark as no mention of decreasing temperature). Few used the collision theory idea which was expected.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-1-5-polysaccharides-as-energy-storage-compounds",
+      "b1-1-carbohydrates-and-lipids",
+      "c1-1-4-enzymes-as-globular-proteins-with-an-active-site-for-catalysis",
+      "c1-1-5-interactions-between-substrate-and-active-site-to-allow-induced-fit-binding",
+      "c1-1-6-role-of-molecular-motion-and-substrate-active-site-collisions-in-enzyme-catalysis",
+      "c1-1-7-relationships-between-the-structure-of-the-active-site-enzyme-substrate-specificity-and-denaturation",
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism",
+      "c1-3-15-carbon-fixation-by-rubisco",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p>The mass of an individual organism can affect its physiology and feeding ecology. The diagram shows the relative mass of carbon (black) and total wet mass (grey) of a marine crustacean, <em>Calanus hyperboreus</em> and a jellyfish, <em>Bathocyroe fosteri</em>.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAioAAAENCAYAAAAhcU6gAAAgAElEQVR4Aexdh1tUx9f+/pMYgaULKE3BAlYUCyBNBLGhCGKhiKIoiqLSFLGg0hQBAcWuWElijz3RWJMoMYklGjsE9vd+zxm9uMBSdxd22XOfh+debpk5887cO++eOeX/wBsjwAgwAowAI8AIMAJaisD/aalcLBYjwAgwAowAI8AIMAJgosKDgBFgBBgBRoARYAS0FgEmKlrbNSwYI8AIMAKMACPACDBR4THACDACjAAjwAgwAlqLABMVre0aFowRYAQYAUaAEWAEmKjwGGAEGAFGgBFgBBgBrUWAiYrWdg0LxggwAowAI8AIMAJMVHgMMAKMACPACDACjIDWIsBERWu7hgVjBBgBRoARYAQYASYqPAYYAUaAEWAEGAFGQGsRYKKitV3DgjECjAAjwAgwAowAExUeA4wAI8AIMAKMACOgtQgwUdHarmHBGAFGgBFgBBgBRoCJCo8BRoARYAQYAUaAEdBaBJioaG3XsGCMACPACDACjAAjwESFxwAjwAgwAowAI8AIaC0COk9U5G8e4FTOSkSFBGLCeD9MjViB3MrHqNYo5HK8e/YM7zRaBxfOCKgHgbrHx5CZmInjT+raUOAbXM5fiYzDj8S9by/lI2nd4TY8B6DuD5xOn4NJ470QEJmH/TtWIrX8XuvPfryKwsQ0HLxf2/q9fAcjwAjoHQI6TVSq7+7CLGdjmDl6Yc7SFGSkr0Zc8GBY97SG7/orGiIScjwtC8NA9xT8zN9VvXthdLHBNReXwcXQBSt/rGldfPlfyPMzxoDF5wDI8VeuH8ycFrf+HICPFfNhZ+CAgLhUZOw6heKoofBYReW0sr0qxGSZHWJPafbnRStS8GVGgBHQUgR0l6jU3ET6SBNYeaTix9dyBXjf40baOFgauSH1Rhs+zApPtu2wFnfT3WE2nIlK2/Diu7oagc4hKnK82BEAM8dF+KG9fIOJSlcPEa6fEdBqBHSWqHw4EQVHgwFIOK/kq/juArbHr0HpjTfA68NY4jUf2/ZuQnSQL4Lm5uHG0wOI85iKLQpEpvbOdsz0iMaep0R66vD3uWwkhE2Cv8d4TAxZiMxjD/ERcvy9Nwbu9qYwNHbA8DHzUSLU6XV4dqkAa+ZPRYDHOHj5BCNybTnuvPna9x8fncTWxTMR6OUJ/+BIrDvyAB+ky9VVqMxajFB/L4z3DkZUcjnu/KtAvuqe4XLBakRN8YP32HHwD56HlPLbeCuef4OKJeMxf8cFnNoYg+k+nvANmoe0g/e/li/Vw3u9RKApUalG1ZmtiJ8xAd4ePpgyLwX7br+BGHHNalQ+4HzyBIyPLoN4Rb4gWXM1E1M9Y7ElPQRjnCxhZGSLISPHYdnRP1CxxAOBaRc/31n3N85nL0XEJF94e03AzNgNqHj48fO1L0QlqrACm6Onwt/DG5PnJOPAL+/1sr+40YwAI9AQAR0lKjW4njQExtbzUPHlW9ewWV//kz/fiUAjGSwHBiO1YDfydp/H86e5CJA5If7cV5JT8+MKDJZ5Yevvdai7vwW+Fg4ISMzF3n1lyF3sBTtDFyRerEb1k6sojnSBSf+5KDh1FY8/ANXXUjDaxBoeC7agpLwcxZnRGGtpiP4LKwVZqHtcjBm2xnAOWIHckjLsSAqCs8wBc/Y/A+qqsCe0Lyz7BSAhazf2Fm1A9Chr2HhuwK1P1I5qXE8eCQursVi0ZTf2lxdhU/Ro2Bg4Ia6SqM4rFAXJYGXTD24z1mJHSTG2zB8JKwNXrPrxa/u+IsJH+oZAQ6JSh6qyWXA2dULg0q0o2VOEzEh39LH0QubNaqBZogK8ORwBO2Nf5NTbulTj/GJnWPpux+17F3FwqTtMbUOw7WQlbj19Lsal3fzjgvg/2OINK3t/rMrdgwNl2Vjq2Rsmg5bjEg1RIipGBjC1HIqZyTuwpyQLC0ZZwnhgAi7zENa34crtZQSaIKCjRKUap6PtYDw4CddaWd0RRMXQCL5ZjyGZEsr/apmofDwcDmuLQOQ//lJ4XRUq87Nx5A6ZzzZe+qlD1cFEhC3ajUdSBaAPuBNMx23Eo7oaXFvpClOX5bhcT6re4If0cETnXkPN5eVwlbkh9dbXhsj/2oUpltaYvf+NIDKHEkOxuPhhvfyoPod4Jxm8MuncZ6JiPGod7kk2M5++R5yjDF4bHzbpcD6hfwg0ICo1l5E4UAb35FuoH3Hyv1AUbIk+sw7gTQtEBR9OIdbeBD5Zv30eix8rscjREsE7/4IccjzLnwAzp3h8VnJ+HpeficpHHAm3hNXEPNS/Uk/OYOf2w/iFXilBVAwxOvU2pCFcfTYO/WXjsOlh/Uulfx3HLWYEGAGBgM4SlQvx/WHsvBQX67+2yntUEBWZLWJOfv1p1hpRkb+owKJBMhjKbDHCLxwJG0px7tG7z6rxJkTlc73y91W4cfoAdmdvwJpFs+Dd1xjG7utx77/nKJggA32wv0ogySpH1VZvmBj0wTAPT3jX/7nBydgQw1Zd+zKZyPG+6joqDxQjN2M1Fod6wVlmiLHr79UTFbt5FV/Lr72NdDdjjE69I1XEez1GQJGoyJ9sg6+hIewGeyiMNw+4O5h8Jv6fWjKmrcb5Jf1hNm4TiD+8Px6JvpbTUPqcFo1aIipyvKyIxWDZtzDtMxQBYUuxseQsfn33ZXlTLP3YIKri6xtSezsNo2XDkXpLoi563IHcdEZAzxHQUaIix4tdQTCX+SNPccFc6sy6xziUuhLbTlfhM1FxRFzl149gPVE5+/VczcUEuH5Z+qFi5G8eonJXGuJCxmOItQyGhv0Qtpu0Mo01KnK8PpcCbxsZrBzd4B8cjrjVm5E61QGmo9bjXg19+GXoG336K5GQ5EQdHm4YBxNLf6wt2YO9exT/ylFx4wXk8tc4n+wFOyMLOLv5Ymr4QqzdnIwQe5kgKrVCo2IMR8XyiaiMJKJyu74mPtAfBGrf/Y1fn7z+QqyBz0TFFauu1KDuQSY8DXshYHVpo/G2B/uO3cDL2paIClBzNQnDZGOQee81jkTYwnbmPrwW0LZEVOgGOd4+OIOi1EWY6eUKW6NvYdI3FKWP6z5rVBp5/dQTlZtMVPRn5HJLGQHlCOgoUQHkT3dhsoUxxqb93IQAVF9fi1GG5gjMV05U8KIAk2S9G/yCe1U6HVaGZKPyH15d34fs4gt4Kdmz1lRhV7AlTP1y8FRei3vrFLx+5E+FO6dVQD6q6r+pb3BwlhVMxHJMNSqjHWDqsQm/1muxq3E50Q3OIYV4fyQCfQxHYd2d+oeB6l9wcNNmHLj1BnJhT2OBoPyqerU43hzA7F5GGLvuLpioKB/Y+nv2y7Kj9zZUfRm/1adi0NfQHRl3a4H3RzDXyghj0u58HU+oxt0Dm5C17xbetrT0Q6AKEmyK8WnZmG9rh/lHJIvxFoiK/BVulG/H7gsvvpKnJwWYYilDQM5TJir6O1i55YxAmxDQWaICfMT1tLHoJXPGtLTD+OnZR8jr3uDXyi0IHSCD+YgkXHoPpRoV1FzCioGGsAtYj8o7D3H79DaEDbaAqSAqdXh7IgpOskGIyP0Bd39/jHvnd2LOABkGLT6Lj6jDkyxvmPaejKzK23j6/jmKg81hOnwJKh68xOtnd1GZNROuRj1gPCwZpLmuvroW7ia2CEg+gpsPHuBKeQI8La0wKf934MNFJA2RwWpEFPLP/IwHdy+gKHoEepmNw8bbtZA/K8IUMxlGLq7Aw5ev8ezuGWydMRCm3xjCLfkmE5U2DXN9ukmOZ4WT0Mt0LNaee47qD79h/9z+MLaLwWlhI/UBlxKHwtTcDTF5lfj5/l1cKIzBSDNzeG24jdrWiAppATd5wsKqN/o4xuB0vetaC0QFb3AyyhGmA8OR98Mv+P3xPVzYMRuusv5YevYjExV9Gp7cVkagAwjoMFEhbfIznMsIwXBLQxh88y2Mvu0Bgx7mcJmUjFN/fFZfKFv6ITX0y3OZmDncFuaGxrAbPBWpe9MRYPrZ6wfyV7icFQEvp14w7WkIcxsXBCwowK0vPx5r7xcgdJAljHs6YcnZalTf3Y1Yj36wMjCEqaUzvCM24Ej2TPSxDMEeoZapQdXxFMx0s0cvA0NY2rsjPPM8xNI+gJonx5E2wx3OFkaQGVjAadQMrDv1x5dfvNW4VxyD8X0tYGwgg42TJ+ZmHEbuDGvYhJThpZyMFnnppwNjv/s+8uEGtgY6wOSbHjDs0QNG5kMQtff3rxqUmic4kTIDYx0tYdLTEFYO7ghNO42npNRrlagA8ic5CDA2wIDFZxW0mS0RFUD+6hK2RYzDQEsZZAYmsBvkh0UFNz+72H9xT1YM+MZLP913eHLLGIH2IqDbREVqbfVL/HrzMi5evIp7f72vVy9Ll3nPCOgfAtV4fu8qLv94G3+8kdYw1YOC/I98BJp/tnlRT4lcCiPACDACzSPQPYhK8+3jK4wAI6AuBGqq8fHTc5xPHAnrsZlf3eHVVT6XwwgwAoyAEgSYqCgBhU8xAoxAUwRqb6zBCIMeMDR3x9rzkhFt0/v4DCPACDAC6kSAiYo60eSyGIHujEDdG/zxy208etlK8KLujAG3jRFgBDodASYqnQ45V8gIMAKMACPACDACbUWAiUpbkeL7GAFGgBFgBBgBRqDTEWCi0umQc4WMACPACDACjAAj0FYEmKi0FSm+jxFgBBgBRoARYAQ6HQEmKp0OOVfICGgvAv/88w9+uXMHlafPYHdxMTIzNmBVYiLiYhdizuwITJsyFRN8/eAxZixGDR+Boa6DMci5P/r3c8Kg/gMw1MUVbsOGw91tJMaNHgNvTy/4+/hi0sRAzJ4Vhvi4xUhPTUXO9mzsKSvDqZMnceXKFTy4/wD//vuv9gLDkjECjECXIcBEpcug54oZgc5F4OPHj7h54wbK9+7Flk2bsHRJPGZMny4IRT8HR5gYGsHKwhIu/Qdi3JixmBQYhPCw2YiOjMbiuCVYsXwl1q5NQcb6TGzZshXbt+ciP38ndu0qRlFRCQoKipCfX4CcnHxs25Yj7tm0cQs2ZGxEeto6JK5YhUUL4zAnYi5CpoUgcMJEeHl4CmJDRMfS1BzmJqZwHTgIE/0nYEFUNDaszxCE5sL5C3j8+DHq6uoTZnUueFwbI8AIdBkCTFS6DHqumBHQDAL/+9//8Ntvv6Hi6DGsS0vH9KnTMNC5P0yNZBg8yAUB/hMQOiMUsTELsTppLbZs3iqIxtFjx3HyVGWX/h08dFSQnfT09ViyOB7hs8IxcUIARo1wg6OdvWjDsMFDEDYzVJCYY0eO4uGDh6itVUjqqRlYuVRGgBHoIgSYqHQR8FwtI6AOBEjDcP3aNeTl5iImKgqjR44SWgma1Md7egmNSFLSGuzYsQsVx091KQlRBwk6cqQCOTl5SFyxEmGzwuDtNR5ODo6CwAx1dRUEJnvbdly9chXV1dXqgJjLYAQYgS5GgIlKF3cAV88ItBeB+/fvC2IyZVIweplbiKUSsh0hDQQtyZBWQh2kQJfKOHL0uFhyouWpaVOmYYiLK8yNTQRxW7YkHvvL94mlo/ZizfczAoxA1yPARKXr+4AlYARaRODp06coKynFnPDZsO/dB33tHTA5KBikKSkvP6B3pKStBIrIy+bNWYiOioGvtw/sbHqjj5UNZk4PQXFREQhX3hgBRkD7EWCiov19xBLqGQI1NTXCGyZu4ULhSWPTywr+vn5YGr9M2JK0daLm+5ra25SU7hFGwQH+ASBcyXB3+bIEfFdZiepPvFSkZ68aN1dHEGCioiMdxWJ2bwTI1uT7775D1Lz5sLawFMajC6IXIDd3B06cPMNaEw0Y+RKu5Lk0f958gbeFianwNsrLycWL58+794Dj1jECOoQAExUd6iwWtfshcO3qNSxetAh9rKwxbPBQ4YlTWlbOxEQDxKQ1DRPZ9qQkpyJoYiCszC2EFqt0dwnevuFM0d3vzeMW6RICTFR0qbdY1m6BwF9//YVNmRvhOmCgCJQWOS8SxcWlTE66gJw0R17IVXvtmmT4jveBpZk5pk+ZisOHDvHyULd4A7kRuoYAExVd6zGWVycRkMvlqDhWIZYWKKjalOApyMrazuREi8hJc6SFNC3LE1Zg7OgxQtMSGxODu7/8opPjkIVmBHQRASYquthrLLPOIPDp0yfs3LFDBFyjQGWrViaBvFGamxT5fFMDWG3CZM/efZg/d77wvhrv4Ykjhw9ztFydeRtZUF1FgImKrvYcy63VCLx8+RJpKSnC9oQCr5GbrDZNuCyLaoSIguetWb0WI4ePgHPffiADXPYa0upXkoXTYQSYqOhw57Ho2ofAr48eITZmgVgioOUdyn/DpEA1UqDt+G3duh3enuPRz94BJbt3g5b5eGMEGAH1IcBERX1Yckl6jMDlS5cwNXgyeveyEkn3OBBb9yYnysgT2RyNHO4mMkqfPHFCj98GbjojoF4EmKioF08uTc8QoKy+40aPgbNjXyyJi2f7Ex0wjlVGMtR5Li11nQjU5zXOA3du39azN4KbywioHwEmKurHlEvUAwRoAgoKCEA/B0esWrkax0+c5iUeJin1Y4DGw7KlCehtZY3U5GRQtGHeGAFGoGMIMFHpGG78lJ4i8OTJE0SEz4atdW/ELVqMioqT9ZOTOn+Vc1ndY+loz559GO/hJZaDbt28qadvDTebEVANASYqquHHT+sJAhSddOWKFbCx7IV5c+bh0OFjTFBYg9LmMUBaN4o+nLRyFXsH6ck3g5upPgSYqKgPSy6pmyJQWlIiMu9OnjQZe/fub/PkxFqR7qEVUVc/7i0/AD8fXwx1cQVp5nhjBBiBtiHARKVtOPFdeojAb7/9Bj9vH6G2z83NZ4LCGhS1jIHFcUtg17sPrvz4ox6+VdxkRqD9CDBRaT9m/EQ3R+C///5DZsYGscyzMHYRG8oyQVELQVHUzKxfv0EY2u7ds6ebv03cPEZAdQSYqKiOIZfQjRB4+vQpxoxyh8eYcSgp2aP2CUpxsuJj/V4a2rFjlwgSl7xmLf73v/91o7eIm8IIqBcBJirqxZNL02EEfvj+e2GLEhO9gAkKa1E6ZQzs23cQbsOGI3TGDHZh1uFvB4uuWQSYqGgWXy5dBxCgX7MZ69YLu4FNmzgnD2t6OlfTc/TYCVA+qLkRETrwtrCIjEDnI8BEpfMx5xq1CIHa2lqEzQyF2/ARoJgXPEl37iTNeH/GmzJqDxs8VCSy1KLXg0VhBLQCAZ0kKs+fPQclf3tw/wEeP34MinHBGyPQXgTq6uoQFhoKz7HjcIwDt7VK0gij0tK9ItHizp2FKCoqYUNjNS6RUX4oinRcVlLa3qHM9zMC3RoBnSAq5Ma3Jmk1Avz8RdI3m15WIrX6QCdn9LV3gIWJqQimRBNOTFQUSneX4O+//1ap4549e4arV67iwL792LRxI9auXo2VKxKFHJsyM3Hi+HH8UVWlUh38cNchQBluI8LCMW7MWJDqnX/ZN9Wk0MS5NH6ZwMjWpjeMvu0JUyMZzI1NxJ+ZzFicI1fbsaPHYO6cecjOzmMsVSAvlG2bAsNdvHCh614OrpkR0DIEtJaokEp+/759GD1ylEj4NidiLtLT1tWr5+nX3e7dZdi1q1j8yiML+szMTViyOB7+vv6wtrAU8S9WJCTg++++azEaJOXhuHb1GrZlZWH61GnCoJKy4A4fMgwTfP0xKzQMkfOjQEaWUfOjxP+UcMzOpjesLCwRER4Oyp7Lm24gQCRlbsQcjHUfjaPHjvPE2mhi3b49F6NHusPYwEgQE4NveqAtfxKRse9ti4RlK1Bx/BRj2wjbthBicl12cuyL9+/f68YLxVIyAhpGQCuJCi3rDB7kAne3UUhNTRdq+YyMTMwMmSncRh3t7GFiaIS+dvYY6Nwf9n1s0cvMHJam5iKT7ZyIOdi+PUf8zZs7H6NGuImYGIsWxOLmjRsCUooMmbM9WwT0MjcxxRAXV0yfOl0kmKNw13Mj5gqS4jJgIKzMLcQvSKqTfk069+0HLw9PzAqdhdgFC8W9A5yc4TpwECiKKW/ajcD69HVwGzaCMx03mkT37N0Hz7EeMDGStYmYtEReTI2MMXK4G+dCaoRxW4gK3RMcOAlLFsVp94vE0jECnYSA1hGVUydPCtUnJXxLSU5FYECg0I5QbIuNGzJx5tRp/P777yD7gsbbq1evQM+vSUoSa72kjaFfJ/Til5aVI3JepDhP2hJSr9LHICUlTeRtOXjwCObPixS/ZIgk0VLTvvJy/PzTz3j9+jXevXuHT58+if2jhw9xvKICGzdswNTgybA0M8d4z/EIDgpG/75OmOg/AU//+KOxePy/FiBAKnVKKMiGsw2XevbtPwRbaxuxlNMSAWnPNSI8Y9xHsx1LB8gKfY9IM3X92jUteGtYBEagaxHQKqJSUlwsfsnRZE+TP4Uv35GX1yF7E1o6Kt+7Vyz/UPAu+hATYTlx8kwTI8Di4lKYyowROW9evcalPd3y9u1b7C3bg+DAIJgZm9T/Gj2wf397iuF7NYwAkU0yVpTIa1t/3erDfRMnTISsp0H92G0PIWnpXtKsbMzczEtAHSArS+LiMWVSsIbfCi6eEdB+BLSGqNy7d6/+I5mWkgLSjqhjI7JCH9KkpDXNfiwpAil9pNVhwPbvv/+iuLCwvi3xixeroxlchhoQoKU/SiyoD8SjvW0kW6uWCEdHrxFxX7s2hTHvAFEh+6k+1jagbyNvjIA+I6A1ROWnn34SGo2XL1+qrT925OUL+5W2eCJs2LARDrZ2ajVgK9ixE7t2FqitPVxQxxG4f/8+yHPl4KGjPGkqmTR7W1lrhKiQTRfZvrSXOPH9n5fmaLk6Niam4wOfn2QEugECWkNU1I3lsaNHhety8e7SNn8kAwMmYu3qNeoWhcvTAgSi5s0XNko8ATa0TZHwIJswE0OZ0Cwa9vhWLaTF8Nue2LYtp83vnyQL77/2EXk1OtraacEbxCIwAl2HQLckKh8/fhTJvtobDr2srFx4B1U94fgoXTck1V/zP//8Izy39h84zJOmEm2KRAwiZs9RC0EhI1pyVablIiYqX0mHhHN79+Tl+PDBQ/W/GFwiI6AjCHRLopK1ZYtwLW7vB4HuJ8+fOeGzdaT7WMy2IJCbnQPSlnVkPOjLMxSnSLJDIY0KEQ3JTZn25PpPYQDomNz0pT96xtjAUHjLBU8KrjfIneA3QcQd4qU21YkKeRPSMjJvjIC+ItAtiQrFTemop8H+/YdETJYPHz50ypggmxxydV6Xlo7VK1eJKLhkANyWyLoUuOzp06fC2I4M7v7880/QOd4aIkDjYUPGRiYqLWhT9pYfEN5QElmh4IkSCZng5y8C41EAt5HDR4jzK5avRE5OPnr3shakhiLW5ufvxNTJU8X1MaNGM94t4N0eAjxvzjykJic3HNT8HyOgRwh0O6JCYe0pTsrxE6c7/KGkUPwH9x/Q6DAgOWeHhYnInxSKXJogaE+/ZskLqX8/JyQsXSqi5pIw5HJNnklEakhGxWekY4rIm7I2mcP7f+k9Inw2lr1UGg/tmVR0+V5vL28xptauSYadTR9xPDs8osF7lLRqtTg/a+YscZ6W08hImcYfBTw8cPCwOKb/6ViX8dAW2RctjEN8HHsPavSDzIVrNQLdjqicPnUKHmPHqfSBXLE8EdMmT9FYx1HuIolYEEmxMDXDmFGjMHtWGBYuWIDhg4fUq9BJDW9pagYnB0ex72VuUf8sleHSfwCCAibCx2u8UL9L5dJ+XWqa3mtYKo5VgNIdaMuko61y7N27X4wrZ8d+yFifKY79ff0a4EYaFXKXpbG1dev2+mukSaHlHyLYRFzo/aN7Nm/Oqr9HW9utC3IlrliJCF6O1tj3mAvWfgS6HVHJz8vDtClTVfpA0vIPhdXXxEZRdSUyETVvHs6fO6+UTJBB8O4vAfCk+xX3FUePKY3OS5mki4uKRHoB6X5NtENXyqQIw2R/oQsTUlfKuCAmVozLTRu3IHTmLHFMaSsUZaJ0FDSmfL19Gpwn7aVkz0IRf8NCw8R95PKv+Dwfd8xehdJ0LF0SryuvHMvJCKgdgW5HVFYkLEd0VIzKH0gKgEXeIureKF5MWGgoKDBca5vveG+lSeHMTUyQs317a4+L8P8Uzl+fN4punJ6+XuXx0N0n2WFDhgpyQZGbKfEmERKK4aHYbtKa0PmiopL685QMlKL90nnSxtD9o0aMFP/vKiyuv0+xHD5uH2Ehu5+d+Tv0+TXmtus5At2OqISHzsKqlUkqfyCHug7uUDh9dY2nyjOVsDAxFR98mgQa/1GiRM6u2jratFRWXn5A5fHQ3SdXytZLY4zaSW760niTUk+Q1oQSb9L5oIBAkRmZcJXckClYYm5uPkiLQveQ3Up3x6yz2kd5zs6dPdv6YOc7GIFuikC3Iyqx0TGIX7JU5Y+kn7cvDh861GXdPmzwkPrJQpo0FPdEYkp27+4y+XShYsrBRJFRO2tC0eV6QqaFiPFWUFAo8JrzJaaKp4J9DyXKI0JC45CyT1P2cDqeNnmqMFbOy9tZP2Y5fkr7tCbNjZ3DRypEDCBNaHd14R1mGRkBQqDbEZXkNWswf+58lSenoImB2FNa2iWj5H//+58wTlQkJsqO/X18u0Q+XamUPKsc+tiqPBaam0S60/l9+w7WkwxK0qmoQSFNidTWI0ePiyUexfFYUXFSXJe0Kza9rEQcI9LMSM/xvmPEZXnCCkwJnqwrrxzLyQhoBIFuR1S2b92GGdNnqPyBJC8aMljtio1io5AmQHEyUHZMWhXemkfgzu3bcBkwUOWxoC+T7Lr0DDHmKCYKERWKk0LjbtzosQ0w3LY1u8HYlPCRbFgUx6p0jfcdIyojR7iJOEvNj/LOvFKLhwfTkLhsOTIOP0JdfdVyPD+bjaSEBCxPSELe+RfgaE714PCBGhDodkRlT1kZAieoHoV0+JChuHrlqhogbn8RN65fFxo/dVYAACAASURBVOpexQ++smOKtULeQbwpR+D2z7cxeOCgBpMsT5gtT5iSx05qarrAjcYdxaFpjJt9789xVuh6SnKquE6amMGDXIR7Mxm007X25NpqXIe+/5+buwO21jYifpLyEd7ZZ6tRucABRt/0xIDF51Atqpfj5feJGGtO+aEM0X9mMR5+vtDZwnF93RiBbkdUvv/uO6gjKiapr589e9YlXf/o4UMRHVcZOVE8R1qXrpKxS4BpZ6UU7I2NOlsmJo3JANlE0Bjz9/HDkS/H5HXS+D66rjgWybbFy8Oz/pznuM/H5K7c+Fn+v/U+Ie+rEUOHoWhXYTtHvSZvb0xU5Hh1bg08LT+TFOeQAtz7pMn6uWx9RaDbERUyOutlZg560Tv6QSSXS/KC6KqNwuqT+l1xIlB2TBqVT5/4y9BcP/33338icJ4qY6GjY0iXn6OxRlFmgyYGiTFIweAU20PLQpJL8tw588Q9NF4pvoriOKXIyorP8XHrBEXCKH7JMhF9muzVtGdTJCpn8eJSGrwFSTFAvyn5uNtIuVv7x0mkTRsBB5kBZCb2GBWSilNVtYD8KfZEj8PYUV5IOPq6vnkfz65FwCh3eEaV4qkcqL66E8sWZ+L037yQVA+Snh50O6JC/UhulEQ2pJe+vfsF0QuwaEFslw0JytdDSd8UP/rKjilcPm8tI+DQx65B3I/2jgV9u1/SqIwe6S7Gn7fn+Pr3SCIn0lgc6DxAXAubFS7uJU3msqUJ8Pf1F7GMSCOjb/ipo72Ud6m3lTXu3b3b8uDu9KtfiYqDz3R4W5EmpQeM7KNx8k0jYT5dQ+pIsrMzhMOoKZjp7Qzzb3rAzG0trn6sw6NNnjD95ltYz9iLV+LRjzgTTctKRvDIuC/sXz5WxGPMiFko+O2rNUyjWvhfPUGgWxKVBdHRiI1Z2OGP5NjRY3Di+PEuHQLubm6tEpUZ06Z3qYy6UPn8ufOwOG5Jh8eCOiYebS/j6LHj9bFmKAEeTT4BfhPEXgqDX1q6t348kiaPsiNLuXzIE0giL9reVm2XjzyoKGBeanKKFr5eElFpFNephzWmFDxWMK4F3h+ZA7sePWA8Kg23yWZF/hRFwZYw7NEH84++h/xJLgKMe8DQcgbKSany6XvEOfaEgZEXsh4xMdHCzu9SkbolUTl/7hwGOvXv0PLPzp2F6GNljc7Kntxc72dmbGhRq0L5f44eOdLc43z+CwKHDh7EeA9PJiotZPKVSMbciLmCcNCv+ezsPHEsJR9cs3qt+J9+7Tee7AsKisS1gc79m1xrfC//3/zyDy2pUViE6VOmQruWfKTPiSJR+RZ9vNNQsnYcLL7pAcM+ISj7Q1qiqcXPKW4wJo2J7wrsKixEUWEBNoQ4QfaNIUYm30Kt/BmKgy1g0MMSoeWvUH1uMQZ82wNmvtl4wjxFApz3XxDolkSF2uY2bDjS09a1+8NJqu6tW7K6fICQnQpFn5Umkcb7Af2ctPRj1uXQNRDgzb9vQEtkpBHgSVL5JKk4tsjl/dDhYwIrRzt7Mf6CAychJSVNHNPSkCKOkgszlUEkX/EaHyvHWxkupJ0a6z4GAX7+Whxx+itRsRi1Ghdfy4H3F7DchVIr9ETfWfvx2ZykBtdWDobsmx4w7T0I5GI9qv5vFKZsvIEaAK/KQ9G7x7ewmVGK4/EDIPvGFEH5T9m1ucEXjP8hBLotUTl88JCIoUFqbWUfBmXntmzZKowEq6u1w79u/759Ijmi4kRCx+Ttc/nSJR7BbUQgec1aBAYEtnkcKBsb3fkcJSK0723bJLcPERZp7FFUWjomGxQJi8LC3fXXVbEJk8rT1z15TDn37YflyxKUJhpt4zDvhNskotLIPflQBPp92wMG3/ZF5JHnkEOO5wVBwibFelopXgpFSzVu79uILdnFqJT8l98cQ6TttzA0d8FQh54wMA9G8TNJK9MJzeEqdAaBbktUqAfCZ4UhOCi4/sPa0oeQ8pY4OfTFoQMHtarzigoLGywBEUkp2rVLq2TUdmEoJxLF/cjJyWvTWGhpnOjTNSmjsmSnsmhhnFgSkjDo3ctKEBVly0HSPbxvWauSsGyFiFNTWlKi7a8RAGVEBUDd78gPsIThNz0gc4rByVdyyJ/tQajNtzDoaQvv6HXYmhqOESY9YGDigc13a7+09SMqY/vCSOQy+xbW0yVS8/ly7cMzKCo4jFukueFNrxHo1kSFJigKQEVp6yuOn2p2kiLvBMqto50GbMDWrCxBVsgFdPWqVXo9YDvaeNJO0VJGSemeZscBT6oNJ1XSRh77Eh5fERvFcPtRkdGMZwv2P4q4KR6ThmqCrz+GuQ7GvXv3OjqsO/m5ZogKUZibaRgjIyNbQwyOq8Qb0qqcSUGA49cwC0YWwxBV8uBLoLjPoldfTIBrzx4w6GGFsH1fXZXp6vvSaTA1cMf6XyRi08nN5eq0BoFuTVQI5VevXiE4MEgET6L1dMWPBR3Th5iCU0XNj9SaTmksSPnevSDjWQtT0y7LP9RYJl38P2f7dqE14yBkDQlJ43eitf+J2A9xcUXU/CgRar+1+/l6Q7yzsrajr70DliyKQ/Un7Vhm1tj7XPsvHt/6EZd+vI2n75pqRqovJWBwzx4wtJmNw/9qTAouWMcR6PZEhfqHLOhzsrNhbdlLxHeQPpyUNI1C5c+aMVOLwlQ3HVGVp88Ig1AKZNeVGZ2bSqZ7ZzZmbhTB/Di7b8PJU3oneK9ZXGj5zM6md5eHP+jqN/fDrQPIzkpFxFAzYYjrvOAM3ne1UFy/1iKgF0RFQp80ExMnBNRrVbzGeWLlikTpstbuKfcPea6QF9DpU6e0Vk5dEYzIHk0W06dOR+OoqzxRa3ai1md8iaQMdHLGn3/+qSuvisbk/HgoHNbCNqUnrEcuwXGOPqsxrLtDwXpFVCrPVMJjzLh6okLaFCIB2r49fvxYLP0QWbl08aK2i6sT8tGS4IqEBPQyswAF+KMkerm5+R2KvaPPky+3vW3ELj+/QMRnevrHHzrxfmhcyOpX+P3ODdy69xfeN10R0nj1XIFuIaBXROXmjRvCaFb6uA7qP0ALw1Q3HUBv376FsYGh0Kj89NNPTW/gMx1GgLA9XlEh7AVoPJgZmwgXdYrD4+M1HlOCpyAiPAKxCxZiSVy8cM8lF11lRqbSuOJ92yZvfcKJ8iZt3JDZ4XHKDzIC+oyAXhGVJ0+eCCM26QNJBm10Thc2o297goJx/frokS6Iq7MykqfY77//jitXrqDi6DEUFhRgffo6JCxdhoULFtTHDSHPF2kc8Z6JSWtjYPKkycjPy9PZ94IFZwS6EgG9Iirv3r0Tk730UaE4EC9fvOhK/Ntct5WFpZgkWXXcZsjUeuPr168ROCEA7m4jwXFDmJhI35C27tety4CDrR0unL+g1nHJhTEC+oCAXhEV6lBaQpHU9qTm7+qcPm0dZP379hNE5dOnT219hO9TEwK3bt4UnkJhoWHsjtuBmCFtncy7+33p6evhaGuPsJmhoDHFGyPACLQNAb0jKna9+6C0rFwYTdJyinYm/2raeRS5Mjx0VtMLfEajCBTtKgQl6Utem8pLPUxSVB4DlCspJnqBCD7oMWYsKPQAb4wAI9AyAnpHVCgCbW7uDhw6dFQsA7UMD1/VVwQoEFfUvPkgA9tdu4pVnqC6u7aA29e+5TDKlEzkl5aDsrZs0dfXjNvNCLQJAb0jKr7jvbFhw0ahVXHoY9smkPgm/UKADKxHDhuOAL8JoCisPAm3bxJmvNqOF2l3KX8XZUvnjRFgBJQjoHdEJTRkBpKS1oAylroMGKgcFT6rtwhQQD1baxvELVrMBIWXepSOAVq+mTVzFoImBmJ22GwkLFuOjRs3o6RkT7vj8FCGaoo4/eL5c71957jhjEBrCOgdUYlbuEhMQtu35wgPjtYA4uv6gYBcLkdqcjJIy0a5WFgr0HatgL5hNSlwEqZPnYayklKsS0vHvDlz4TXOQ4wdC1MzjBzuJqIeE4HZunU79u8/pHQ87d5dhrHuY7AgOkY/XjJuJSPQQQT0jqisS0vDnNlzkJm5CX7ePh2EjR/rTghQlNqJ/hPgPnIUux53Iy0Keffl5ORhafwyTJsyVQTwG+s+WuT3oqzqE/z8sSB6ATZt3ALKFN1WwhU4YSJ25OcrfQX+/fdfnD93Htu3bsPciDnix1AvcwuR/ZwM+Qc4OQtNLsVE6mNljRXLElBXV6e0LG06WVtbC/vetqCQDu39o6zvDx881KbmsCw6hoDeERUKujRtyjSQq2BQwEQd6y4WV90ICNdjB0eEzQrvtq7HZLiZnZ2HNavXiui69Et/06YsYVDe1slZV+7LytomfoiMHD4CZjJjDHUdLDQeeTk5qDhWgbM//IDr166BIjzvKStD/OIlIPJCuZ/ilyxt0xgQ2Y/t7NGeUAFknP3XX3+JCfuXO3fw9s0bdQ9ljZb38eNHER6BErm2949I4ZlTp5uVT/7qPPISV2H3jYaZpGtulyE5YTkyjz2BIpWTP6vEtsQU7L9X22yZXy/I8e7ZM7z7eoKPdBABvSMqFC59vKcX1q5JxvSpU3Wwy1hkdSFQWLBLuB6nJGvG9ZgIQkXFyTb/UlcnGThx8ozwKpk4YSJsellhiIsrZkybjkULYhE5bx7GjR4jUjLMDJnZLRIzZmRkgiZE+luTtFoQEppc27oRcfH29AIRnH3NLNUo9o+fjx82rM9oa/E6fx9haWJo1KGxPMZ9dItEBdXnEN/PCEMTr6KmHqkaXE10hamBIUx9s1GlkA/oTflMWMv8kf9U4WT9c4oHcjwtC8NA9xT83BZOo/goH2sVAnpHVEgF6dy3n/hlSSHRedM/BOjXLU3WwvW4sKHrccXxU9ixY5dYGkxatRqrViahqKikXR9ocn2PmD1HGOXKehqIzNc0gcbGLOwULcb69RvEhD1mlDuKdu3C06dPlXby33//jaVL4oV8i+OWtKuNipN2Vx/n5e0UyygnT5xQ2s62nqSYSkRyaFyUlx9oEY/i4lJBAPXFCFajRAXvcTTCBqbe278Sktq7yBhlDr+IUDhbTMHuFxIpqcbZRf1gOnoD7iuqWZR2ci3uprvDbDgTFaXw6NBJvSMq//33n/hlQL8k01JSdairWFR1IKDM9bh4d6lQ+/uM9xEeGC79B4hf17NmzMSM6SFiEgwPC29x4pIm6/z8nXC0tRMxWB49fCgCCv7zzz/48fJlzJoZKkhB5LzINi0xSGW2dU/LO6NHugsbiGNHjrYZLsJkqIurMAAlLVBb62vtvv0HDmPz5izxo4Ci+oZMD8HU4CkImRYikjySoWlrZbTl+uSgYGRtVl8sEjKqpszqRFpbqj905iyR/6nNQOvwjZolKnK8LAqGpeUsHPyyRlP3ZDv8Td2Rce0g5vW2QcTBL0tltXewbqQMQ1de+6J9qUbVma2InzEB3h4+mDIvBftuv4Eccvy9Nwbu9qYwNHbA8DHzUfKkKbN5ezQePnN24NyRdYia5AMfvxAkFN3Em9c3UbIiFAGeXgiKSMeJJ5JKpg7PLhVgzfypCPAYBy+fYESuLced+pW8Ovx9LhsJYZPg7zEeE0MWIvPYQ0i6vbq/zyM3PhyTfTzh4x+CuIwKPJIu6vD40LToekdUCFD6xWTwTQ/cuX1b0/hy+VqEgOR6HBUZLWyUaMKk1ATkjjx3dgT2lZcrzf305t83wt7h4KGjLU5cGeszxVLSoQMHm2111ZMqBPj5w234COHO2tJE2NZrRC7mzZkn7Cwokm5HjDMpizTlMvIYMw6ttVOZXJIdTHRktPCAsbXuDUtTM2H/ERMVhU2ZG5G9bTsKduxEbnY24uMWC0JFHjLkgaeszLaemxQYJDxwmgW9AxcmTZwosma3JAMRMRvLXqA+7e6bZokKUPf7FnjLBiDhAi3+yPGiKBhWritxpfolSqdaol/0aTHZy5/tRJCJI+IqyZ6lDlVls+Bs6oTApVtRsqcImZHu6GPphcyb1ah+chXFkS4w6T8XBaeu4vGHpr30qjAIpuZWcBo5Gxm7ylCwzBt9DBwwYvhwBCVko6QoA7MGyWA1qUA8XH0tBaNNrOGxYAtKystRnBmNsZaG6L+wElR83f0t8LVwQEBiLvbuK0PuYi/YGbog8WI1UPcAW8dbop9fIvL27Mee7CXwtjHC4OUX0dA6p6mc+n5GL4nKzz/9jAP79ut73+tV+8lwmsgp/VGALR+v8di0cSNoLLQljUJfO/sWl4DIc4S8OK78+GOruFJ9WzZvRh9rG2zfnqvSJE2xO4j0TPD1w7Nnz1qtu6UbiODELVwolo2ac6ltPHFTgsYZ02fUL28RAaGs039UtT55k0v47uJikDdM7IKFHcaBYpqkJqe01LR2X6MlHZKLNEKN26z4Py3xxURFt7t8XXtA00QFtTeRMtQYXhsfoQ5vcHCWDZxjK1ENOf7I9oPFwARcrgHeH4mAnXU4DpHmpeYyEgfK4J5866tti/wvFAVbos+sA3iD1pd+BFExGIn02180Jp9OIdbOAI7zKvBWdJIcT7N9YWpPZgJ1qDqYiLBFu/GoXjlTjfOLnWA6bqM49/FwOKwtApH/+Iu1TV0VKvOzceTOO+DjYURYWmJS3uMv8tah6vQO5By+w8a+rbwQeklUWsGEL3dDBGgJh1T6N65fR03NV5O9tjSVMlaTQWpzyyKFhbsFSTl/7lxbiqu/59TJk8LVsy3Gm4qTo3RMIdgpDxGFYG8L2aqvuJWDVYkr20RWdhUWC41CwtJl+PPPP1sptfnLhC8ttUwJntLqcovUdsV9QUGRwF8VGZRJR4b3A536N9vvJIOkVaHls+68aZyooBrn4pxgPb0Mrz+cwgL73phz+PM6UN299Rgrc0fG3Y+4nDAIVsFFIJMV+ZNt8DU0hN1gD3h7eH7584C7gwmMByfhWk0biUqvuaiQcr3WXEGSiwyemQ/rPY3e7p4Cs96R9d0rf1+FG6cPYHf2BqxZNAvefY1h7L4e9+oA+YsKLBokg6HMFiP8wpGwoRTnHr2DsLCRv8DxBS4w7SGD/RA/RMRnouzsI7yTzG/qa+CDxggwUWmMCP/PCDRCYFtWFijIl+LkKB0fOHgY/fs6oXBXYaOn2vYvpXRYty5DadlSHY33RJgiZkfAycFRY1l4k1auguvAQS16wEycEIAtarINef/+PSZPmoRRI0Ziz5597cKD8ImKjBJ2Re1xGW5LD9EyXWtRikmrEh0Z1ZbidPYezRMV4N2h2bDrF4fKswlwtZyKkpdfZvCaq0hyNUNg7kVsHGcGn6zHgkTUPciEp2EvBKwuxd49exr87Tt2Ay/lbSMqZrYxONOAqBhj/KbflBAVOV6fS4G3jQxWjm7wDw5H3OrNSJ3qANNR6yF5S8vfPETlrjTEhYzHEGsZDA37IWz3Z5khf4OHp3chfWEIfFxsYNrDCM4zS/C4XkOjs0NEo4IzUdEovFy4riNAE6h97z7Izc1vMnkSYRgzajSWL0vocDP793MSXkaNyUhz/xMx8hw7DkRwNJ0fZk1SkrAjac4DZtQIN1y6eLHDbW/8IC0FZaxbL2xtOkLeiDiRi/G7d+qLmnHv3j2hrSHcW+oTslXpzlqVziAq8ueFmGw5DosXjUYv32z8Ua9pqMZ3sf3Qd2YkJlu6IV3yNX5/BHOtjDAm7Q4kU1egGncPbELWvlt4i1rcW9ey1w8t/bSZqMifIs/PGFYB+aiqr5CWqaxgMmod7tXK8er6PmQXX4DEsVBThV3BljD1y0HVy+vYv60YF+s9mGpQtTMY1kZ+yGvV1brx26Jf/zNR0a/+5ta2E4H01DRM9A9QOklFzo8U0Y1pgu3IRsbcZNdCMU+amwQVz5PbtJNDX9BSC0UK7YwtZe1aDHEZjKPHTjSRcfKkydi+bZvaxbh44QKcHPuKpaD2RIwlHKdOngqPMWNAxsHq2ij2zIyQGU3ar9g3cyLmImr+1+UBddWtLeV0BlFB3W/I8rSElbkJxq6/p0A+SNsSDlszC1gNWIaL9Su3H3ApcShMzd0Qk1eJn+/fxYXCGIw0M4fXhtuoRR2eZHnDtPdkZFXexlMl3jXtIyrPURxsDtPhS1Dx4CVeP7uLyqyZcDXqAeNhybhVC7w9EQUn2SBE5P6Au78/xr3zOzFngAyDFp/FxzcnEOMgg2tYLs7+8jse37uAgtkDYeq8BOeUyKYtfa8NcjBR0YZeYBm0EgGKP0K/lMl9WXFSouOcnHxBMpqLUdKWBpFB75LF8U3KblwX/b92bYqwZynfu7ctRav1npkhIYIANJZrXXqGxvJlkVYkLDQUwwYPbfdS0PSp04W3kbrICrmXU9j4XbsaxtxRxIM0Lt1Zq9IpRAW1uLlmKIx7uiLpSj0bEWNZ/qIYU017wj7yeL2rr7hQ8wQnUmZgrKMlTHoawsrBHaFpp/H0C4+vvV+A0EGWMO7phCVnm/rWtIuoAKi+uxuxHv1gRYHoLJ3hHbEBR7Jnoo9lCPaQGkX+CpezIuDl1AumPQ1hbuOCgAUFuCXcl+V4dWkr5o5zho3MAMbGvTHYLxaFN+t9m9X63nanwpiodKfe5LaoFQFy16WYJ4oTEh1TDhkRFEwF0nDk8GFhA9Kcga5inSRDP3sH4aGk1ga2sTCa8Ac598eqlasbYEEaDMpArmqgtZbE2LB+vUj2117vqKmTp2DSxEB0VNvVWCYyWPby8GrQfsU+ouO53Vir0jlEpTHq/D8j8BkBJio8EhgBJQiQ+/rgQa5KvVDCZ4UjZNp0JU+17RRFxqWljY0bN7c48dFyS4B/ACjC7PNnz9tWuIbuovw0pFUoLStvIHNqajqGDR6iNkKgTHzyvqG6KUx+Y3LQ3P8UrI2C361elaSsyHafI0+xgU7O2JjZfJ+RVqWXmTkoMWF325iodLce1a32MFHRrf5iaTsBAfIcIQ0GJbhrPBFu25otjD1VMWSlMO1+3r5Nylasa+/e/cJlNzx0FojYaMOWuHy5iNSrKCcdDx8yDEePHNGoiBSfhsjKhg0bW8RNUTZy++5r74CWAvC1R2gKCEgB6hTraHwc4D8B+bm57SlWJ+6ld4JiENGyWnv/6LnK02d0op0spHYiwERFO/uFpepCBNalpcPf16/JhHTk6HHhiqzKpEyxViiQWHOeNDTxUe4aRzt7kCGvNm2k1bG2sAQFeVOcoCkr83gPD42LSmkIiKy0pNVQlIuOc3N3iGfUEYWalpFoqaslskTX3IYN1zgWXVEBjXuKKtzeP4pG3N7YRV3RPq5TexFgoqK9fcOSdQECf/31F6wteykNb0/5akjD0dHt1atXIg9QSxMdLaXQZHxw/4GOVqPR52bPCsOypQkNiAotszj0scXtnzWfkoLcoQkfigTcmJQ09//qpLUiESm5mqu6taZVIbsdR1t7Ts+hKtD8PCOggAATFQUw+JARmDN7ttIcL+QaTFFgX7540WGQyK6Fwr03N6FSBmMHWzsRPbfDlWj4wcKCAgQHNQ1+R/mToubN13Dtn4u/cP6CICtZWW1PahgYEKgWe5W2aFXIqFaV2DqdAiJXwgjoEAJMVHSos1hUzSJA4fVpWebwkYomZGKU20jsyM/vsAClJSVwHTBIeAwpIyqkpSADWwonr83b+XPnhUty4zZQbiBzE9NOi+9SeaYSlPiQch01lkXZ/xTtltyHf/vtN5XhbU2rQiH97fvYatTAWOVGcAGMgA4hwERFhzqLRdUsAhTZdGn8siYTX+KKlaAorB11df3777+FBiA/v6BJ2TSpktsvaVLUMYlqFiGg4lgFvDw8lbbDuW8/PLj/QNMi1Je/fes2uAwYpJRYKiMr0VExmBw0qf75jh60RasyeJALSPPDGyPACKiOABMV1THkEroBAqRNIduCioqTDSZhcjmlX+43b9zocCtnTg8BRS5VNnmmpqQLLyIK1a4L24b1GSBbHWVt8RrngdOnTnVqM2Iio+Az3rtN0X0p/g2RKXV4oJBWhcirMhzoXHRkNBYuiO1ULLgyRqC7IsBEpbv2LLerXQgEBwZhSVzTKLHTpkwDhVDv6Hbm1GmxpKMsBP2GjI0iuu1Pt251tPhOfy5sZigSV6xSOkG7DRvR6VoE8iah3Efz585XKlNjIkHRdCnZoqrZpuvq6oRhdHNaMlr+Iddo3hgBRkB1BJioqI4hl6DjCPz0008i8SD94lac2LKz84S2o6MBvChIFv2CV+blI7nNksutrmzkNWPTy0qpXciRIxUwNzaBurMXtwWbZ8+eiaWz9PT1DfpPsS8Vj8nF+PKlS20pusV70lJSEDItpNk6yd5JF5bzWmwkX2QEtAABJipa0AksQtciMG3yFCxaGNdgwqHQ9hRxlYxgO7olrVwlIssqTpJ0TMa6lDW5K/L2dLQt9BzZhCiLL0NtIo+laVOmqFK8Ss8S8bCz6Y39B5rPciz1Q0x0DBZER6tUHz1Mhs9koNtc4sSJEyaiaNculevRlgLOnT2LPWVl7f4jV3vSQPHGCHQUASYqHUWOn+sWCFAgMJrgGk82lCyQbC46ukTw6OFD4c7cODgaTZaTAidh/py5OoUfZWumaL05OXkNCB21h0gdLXNcu3qtS9sUH7cYkwKDmsgnERRpT2kAKHBddbXqEX8pH9TKROVLYcsTVmDWzNAuxURdlVN0ZIow29G/7yor1SUKl6OHCDBR0cNO5yZ/RWDGtOmIXbCwweR26NBRYTtC+W06ukXOnYf5ShIaJiWtEdFNP3z40NGiu+Q50v6MHuXeACdp4qcJ2dvLq0vkUqyUlqbIxZtsfyTZmtuPdR8NSgyp6nbsyFGRU0hZPeQ63cfKusNkV1XZ1Pk8LWN2lKTQc2Sr1dJW++Ag0pcnYEXKftz/kvlY8f66JxXIXJ6AVdnnFU9rzXHdH6ewPiIQvp5+iC68DyVNUKOs73Flx0qk73+g4XrUKLKKRTFRuqkV8wAAIABJREFUURFAflx3ESBPmz7WNqDQ+IoTDQXsmhcxp8MN+/PPP2FlYQnyGFIsl+w4bK1tVPIg6rBQKjxI7rjDhwzFunUZDdpDbaNlLLLFIK8pbdjolztpd5TFwlHsixXLV2JKcLDKIpMxLyUipDgyiuVLx04Ojrh//77K9XR1AZomKtVnYtHv2x4w6OmKpCs1jZpbh3sZY2D8TQ8Ye25pdE0b/v2I4/P6wNjeD0tS1qHo4ivINSmW/DkKJsjgGH0aqusENSmo+spmoqI+LLkkHUOAPFhiohc0mGD27TsoQuhXPanqcGsoKmnojNAG5dLERXE8QkNmdLjcrnqwaFchRg4f0aQ91CbKJK0KqdNEmyi68Lw585TKKxGIg4eOCuPfjsbGUZSbbJyaW/7x9hqPiqPHFG/XyeNOISoGThjsbIyhiVfRgKrU/oL1o3qhn70lTLWRqAjiYAznhd93DnFgoqKT7xALzQi0G4HHjx8LD5bGv7xnhswE2Tp0dHv9+rWwfygrK28wUdLE2LuXNch2RZc2ag9pgShRojTJS/vCwt0CQ0pWqE0baTDI7ohyEEmyKtuT5uXXR49UFr2osBCBEyYqrWvG9BnCCFnlSrq4gE4hKjIPLF/uBQvXlbiqwFRqb6dhjG0I4iMcGhCVumeXUJgUiel+nvAc54spc9di3+03X5Cqw9/nspEQNgn+HuMxMWQhMo89xEfp6t/nkRsfjsk+nvDxD0FcRgUeSReVYP3+/hFkxkxHgIcnJkyORFr5bbwhtUntbWwPGYUBFj1h2scVY8bFo0ISQbGcj49wastizJowHt4+kxGddgQPpNXfume4XLAaUVP84D12HPyD5yGl/Dbefnn+9eE4+MzbivKNkZjsOxGROd991qjMK8Ch1LmY5OWFiTMTUHD5ORRNlpuVGcDbo/HwmbMTF09uQuwUX3iPD0JkykHcl2RSlF0LjlmjogWdwCJ0PgIrV5ChY8O8O6Wle4U25cXzjk+869PXITgouMmkRb/wyW5F1zYKWtacC67nOA9kbdFGVTzg4zUea1YnN+kHRcJC96iSCVvqSyI7FFlYsWzpeFHsIixZFCfdqrP7ziEq45F1Pgt+porLP7X4OdkNjrPLcTTW8StRqb6G1JGm6DMmFluL92Ff0UYscO8F436L8N0HoO7+FvhaOCAgMRd795Uhd7EX7AxdkHixGqh7gK3jLdHPLxF5e/ZjT/YSeNsYYfDyi0o1IjW/bEeAlQxOfkuxtbAYeaumwdXEEp5pV/FB/i8eXjyAhFEyOIZsxanKm3ja2ECl7jF2T7OFWd+JWJldij35qzG5rwz9Zh/AM3k1riePhIXVWCzashv7y4uwKXo0bAycEFdJrEGOFzsCYGpkBtfgFBQW56L0h7uCqBjLLDAocAVyi3YiPXQIepmOQuqVz2yrRZkBvCoMgqlFbzgPm4GU/FLs3hSJ0RaGGJL4o1aOUSYqWtktLJQmESAPBkowWFRU0mByoeBuqxJXqlR1Xzt7UAJDaaKS9hRPRZcCuxEIV378UdifHDx4pEl7ktemYvDAQfjvv/9UwktTD5MbrY+XdxO5pf6g/cwZodialaUWEUjrpCzvUEpKGqZMUt0WRi1CqlBIZxGVrb/9jhxfs6/LP7U3kTLcHvOOvMR3CkSl7slBrJq5CCUPv+oQqs8txgDZOGx6WIePh8NhbRGI/MdfVDN1VajMz8aRO++Aj4cRYWmJSXmPvywx1aHq9A7kHL6Dd00w+oCTUXYwdUvBT/UGIXV4nDsBVhaTUfxMDsifYYe/MQYuOa+c6FxdhaFGrki89FVl8/b7dERE5uL6hyocSgzF4uKHX7Uh1ecQ7ySDVyad+0xUTAy9se3xl7Z+WfoxGZWG25Lmqe4zbn3CDuANWpdZEBUDd2TclVhVNX5Y2Bem4zY1QUAbTjBR0YZeYBk6FQGaxDzGjGswiUkuq//880+HZXn44CGIqChOhnS8q7BY/OLucMFd8CAZiQ4Z5IK1a1OatIe8ohz62KolaJqmmvbm3zewNDXDocPHmsgv9Q/ZJ61IWK4WEXzHeyv1NkpPW4eggIlqqaMrC+k0ovK4BlXZfrD8svxTc301RtjPx/F31Q2IisBC/h5/XD+Dg8XZyExahHDPfjAzGI0N9+ogf1GBRYNkMJTZYoRfOBI2lOLco3efjVzlL3B8gQtMe8hgP8QPEfGZKDv7CO+UWcDW/oJ1I2VwTbjUwG6m7tEmjDdyRFxldStE5YtGxCYSJz4114NyvK+6jsoDxcjNWI3FoV5wlhli7Pp79UTFtE8UTknPC6JigsGJVxRkqsXtVDeYDk7C9Q+tyyyIis18HJfKxOfnzUamNSdkl55notKl8HPlXYEAuaampqY3mMDIKHRZ/FKVxMnNzsHkSZMblEuT4oKYWMTGxKhUdmc/nLh8OXy9fZq0hdpDS0FR8yM7W6R210fkYf36DUrbQO0gA9jZs8LaXa6yB2bNmImkVaub1JWWug6TJgYqe0SnznUeUamDvCoHAWa0/PMBV1cOgXP0SXxAQ6Iif30OqZ69YWreF+4+kxERuxpZydPQz8gdG+591hLI3zxE5a40xIWMxxBrGQwN+yFs9+PPmgv5Gzw8vQvpC0Pg42ID0x5GcJ5ZAklpUd85tbeQOlyGYauuKZACoO7JVvga2SP2VOtE5a8cP5jaxeBMvUamvnRA/hrnk71gZ2QBZzdfTA1fiLWbkxFiLxNEpfaLRsXMYSG+k57/QlRGrLmh4J5ci3vr3GHqugrXPrQuMxEVM9sYnFEgKndSR4KJikLf8CEj0FUI3P75Nhzt7EWQMumXNeXhoXgXv/36q0piBQcFYc3qtU0mqzGjRuPUyZMqld2ZD1MEUtKYKHO53b49VxiqkpGttm8LoqIRv2Rpk/6Q+l2dRIXsUBpHN6Z6yE4mZNp0bYeqVfk6k6hAXoU8P3MMW56P5YOdEHuKbDUUiYocT3P9YWY+ETueSEsXwNsDYehtSMsZNXh1fR+yiy/gpaQlqanCrmBLmPrloOrldezfVoyLL+ovompnMKyN/JD3VDonQfIae0MsYTkhH4qXXh8Ih52RB7Y8qmtFowJUn45BP9mXe78UW31pJdz7hmDX1RwEyCwQlF/1lXS8OYDZvYwwdt1dNE9UZLCaVvq1ffLnKJtmKc69QusyM1GR+pf3jIAWIrBwwQJENgrERjE1KMKoKhu5udJSwz4l8TQozPrLly9VKb7TniUC4mhrh8zMTU0meIpAO3iQK/aW7ek0eVSpKDOj+UzPRCIo0F+Cilo0Sb51aWmImD2nCWaUwHF2WLh0m87uO5WoQI6neRNgaWmF3v0W4jth2tGQqDwvCkYv2QgsPfYQL18/w73TWZg1QAYDg+FIvVmLtyei4CQbhIjcH3D398e4d34n5gyQYdDis/j45gRiHGRwDcvF2V9+x+N7F1AweyBMnZfg3Fczkvq+elu5GK5GfeCbuAeX7z7Ezyc2IqSfDA4zyj6Tl1ZsVPDpGlLcTGHvl4yjNx7iwZVyLB/bC70n7sCvfxVhipkMIxdX4OHL13h29wy2zhgI028M4ZZ8s0WiYmTohBmbz+DO/es4mjoR/WSDEF/52eWoNZmZqNR3Lx8wAtqFAIWB701J9Ur3NJhQKKfP6VOnVBL2r7/+gq1N7wbl0mRIweRMjGQqld2ZD9Ov/9BG3lCSBoImdn8f384UR6W69pWXI8B/QpM+kdoTHjYbmRkbVKpDenhHfj7IGFsqW9ovW5qAaB1YJpPa0dy+c4kKIH+6A4EmBhgQd/aLgaoiUQHw6S5Koj3gbG4IY1kvDPSIQObhbMyy6oWZZS8hl7/C5awIeDn1gmlPQ5jbuCBgQQFuiXlcjleXtmLuOGfYyAxgbNwbg/1iUXhTmV8xIVKNXw+vxvQRDuhlaIRetsMxeVkp6j2hWyMqAGqeHEfqdDf0NTOEsakDxoZuxHkyxEU17hXHYHxfCxgbyGDj5Im5GYeRO8MaNiFleCn/bOPSdOnHFCOiM5Ho1x9WhjLYDArA8n0PFYx5W5aZiUpzI53PMwJdjMD3332HEUOHNZhMcnPzRYZjVQN/XblypUnZNFmRJwgZ2OrCVlxYCNeBg9A4izS1QwqEp+ryWGfiQGHbPcc2NJqWCATtyZ6osKBALSLtKS1F0MTABmOL6ohbtBiL2T251RD6aukELqTbIsDGtN22a7lhjREgg9YFjSLRzg6fjaSVqrkkUz0HDxxQmlmYXJVdBgxsLIrW/U+ReEnbtHNnYZPJliZc0rLoWjwQCsSmLKaNRFa8PDxxvKJCLX2RtXmz0mjElI4hNTlFLXV0ZSGa1qh0Zdu4bu1HgImK9vcRS6gmBCgoF7kKSxMV7Qc698f1a6pn/S0rKVWauZeWmcgwVdu3qcGTERUZ3QAbCac9e/eJaLt///23tjejgXwpa9diTsRcpW2ittn0sgIt2aljI1uX2JiGyS2pDiJKu4uL1VFFl5ZBy6aqJCW8+8svXSo/V67bCDBR0e3+Y+nbiMCd27dFZl1p8qV9QUGRMBz93//+18ZSmr+NYrMoU/3TMoqxgaFWZ9Al+xwKSKdsyYdwmjE9BJS/SNc2t2HDsTFzs1KiQoRVnUtyM0NmKHVPJlf4sz/8oGvQsbyMgFYhwERFq7qDhdEUAls2bW4SCj5yfpRKeX0UZaVQ7H4+vkonRcqk/OrVK8Xbtea4uroaA/o5IWN9plLZ9+z5rE1RJa1AVzT2/LlzcHbs28ANXZGkxi9ZprYYKtQ+soXZtCmrCYZOjn1VdnvvCvy4TkZAmxBgoqJNvcGyaAwBypRMrqKKk9VY9zFqM/Kj5aMhLq4NypfqcncbicozlRprmyoFU24in/HNh5qnJI26pk0hg19a5msc1E/qD9qTtuXkiROqQNfgWSIklKRRsY4TJ8/AxNAIlLKBN0aAEeg4AkxUOo4dP6lDCAx1dQV5+ChOJFbmFmqLb/L+/XuYyYyV/oInzY2qUW81AfWHDx9AMV6Kd5c2wEXCiJaCSBv09OlTTVSvkTLJFqKfvQMSli1X2iZqGy37UHZlsrtQx/ZH1WdDZCImEna0J9seygHEGyPACKiGABMV1fDjp3UAAZqQTI1kOHrseP1EQgkJ1WmjQDA4OfRtYqxLE1ZOTj5c+g/QOqQKC3bBu4XEfZRQz9vTS+vkViYQaS3WJK0WySYp4qwiYWh8PCV4ClavSlJWTIfOFezYicCApq7JW7dux+iRozpUJj/ECDACXxFgovIVCz7qpgg8uP9AGIsqTlirk9Zi2uQpam1xWGgolsYvazJJ0i/tPtY2ePLkiVrrU7UwiimzIWNjE3klnPx9/FC0a5eq1Wj8+e8qKzHQyVm4h5MWQ5Jf2T4/f6fQclDSQnVtlDohKWlNk3rJCyhu4UJ1VcPlMAJ6iwATFb3tev1p+OFDh+A7vmGCvbDQMFCIdXVuZFA7dvSYJhMWTZjBQZOwcUOmOqtTqay3b9/C3NgEjZcrpMm94vgpcV2bc/pQkD0fLy/07+eE9PT1SnGX2kN7SgFA9kI78vJUwk7xYdLkUOqEAwcPN6nfc6wHKo4eU7ydjxkBRqADCDBR6QBo/IhuIUAGo7PDZjeYSPx9/USQNnW25NOnT+hlZq403w/ZRVBANW3x/rlx/Xqzxr80qR86fEwQFXXio66yKJ5L+KwwYTC7YnmiUrsgRYIiHZObdYCfP+rq6tQlijCSHjncrcHYovrIvocIzNs36tPcqE1oLogR0DEEmKjoWIexuO1HIHH5CsQ0ikhLv6wvXrjQ/sJaeWLWjJlKl39o8gqZFoL4xUtaKaFzLpOWydtrfJMJVprUSUNApEvbtopjFSJQW0R4BI4cqWhWfqkd0n5h7EIMHuSiduIwaWIgyNVZqkfaU/wWiqHCGyPACKiOABMV1THkErQcgYSly5pEDR3UfwDu3bundslp+cfdbVSTiYsmMMqXQ1422pAv59dHj2Df21apnCRrBXn8mFvg+bPnaseoowVmbdkC+959kJOT16zcElGQ9pQUMmhiEIa6uILSBKhzoyCC5D109NiJJvJMnzodGevWqbM6LosR0FsEmKjobdfrT8NJi7FoYVyDycTRzh7kVqru7b///hMB1DZuVB4RNToyGiFTp6q72g6VR2682dnNT/qTg4KRnpraobLV+RB5bS1cEAuXAYNQWrq3QT9KhKTxnuxR1qxOxgAnZ8yNiADlqlH3Nm3K1CYEmOQ4dOiocOvWtZQD6saHy2ME1IUAExV1IcnlaC0CcQsXYXHckgYTHNmLvHzxQiMyU4LCoa5DlBqqkou0o609frx8WSN1t6dQyk/Uz8ERZWXlDbCRJv3i4lKhAepKrQrFepnoP0FEfiW7GUm25vZkG7JsaYLw8hrnPhqUHkAT2+VLl0BkV5k2hZaZaAmQN0aAEVAPAkxU1IMjl6LFCMRGxyB+ydIGkxxN0L///rtGpKbcQWQDQy7QyiZUivOhLfYLlFqAoqqWNkNWKFjdyGHDQV5CXbGFzpiBif4BbTKYTU1Jh30fWwROCNCI/ZHU/pqaGrgNG4ZVK1c36V9aaqLloNs/35Zu5z0jwAioiAATFRUB5Me1H4GYqCjxK1uRNFAIdXJv1dR2/tx5oa0gWw/FeumYXIKHug5Wu9dRR9tCth9ODo7NLquQETAFfuvsUPCbMjdi2OChSrUWipju338IAX4TMMi5P0jToeltWXx8s2kHYmNiQUtCvDECjID6EGCioj4suSQtRSA1OQVzZs9pQBgov42mY1wEBUxsYhsjTbCbNm4RyxOdPfk310Vbt2SJyLrKbECIWAX4B2ByUJBGbD2UyURB3Egz0ZymR8IxeW2quG9FQgLIPVzTG+UHcrS1Uxo3hVzQyVj60cOHmhaDy2cE9AoBJip61d362VgR8M27YcA3CqNeWFCgUUAo70wfK2vh7SNNrIr7Cb7+WLUiUaMytKfw7Vu3CS1QSemeBqSOZKYAcOQ9M8x1sMa9lmhJjnLkbNm8tYkcEn5kGxI4YSJcBgzE1StX29PMDt/7559/CrmysrY1kYuMd0n7k5eT2+Hy+UFGgBFQjgATFeW48NluhICyEPqkYUldm6zxVq5KXAmfZvLpkLsyhdan4GvasmVv24a+9g4oKWlKVogkUMwQMkQ+duSoxkT28RqPhbGLmpABiaSQV83oke7CYLWzNFLkNTRu9BhERUYplWvenHnCNobsk3hjBBgB9SLAREW9eHJpWoiAlJSQDB2lyW7duoxOSbj32fByOBKWraivW5KB9mRwO2SQC6qrq7UGuZzsbPS1c8Du3WVKZSaXZvJ4WblihVqjvBIAJ44fB8W4IQ2FIk7ScXk5eVQNFjl05HJ5p2BG42dSYJDQKClLObB9e67QtLA7cqd0B1eihwgwUdHDTtfHJg8fMrRBzJDDRypEiHhNxNdojC8FliMtBLn7ShOu4t7X20dk/m38XFf+n5uTIzQrZHehKKt0TAasHmPGgbQfL1++VIuoRAhcBw7CuvQMpXWSlqd/XyekJmteEyY1iDQkcyPmwHOcp1j+ktov7YnMkacRBfrjjRFgBDSDABMVzeDKpWoZAnPCZyNh2fIGE+CoEW74/rvvOkVSWlIhTyNlmoK95QeELctPt251iixtraS4sEjIlZm5qQFu0iRN2oWI2XOEe/Mvd+60tdhm7yvYuRNj3EcrrYuWeyhD8rasrc0+r4kLZKRL/aaojZPaT/1Grt1E6nhjBBgBzSHAREVz2HLJWoTAvvLy/2/vOryqurL+n/J9M5kkxoINOxawUaTbqUoTQaVKkSZVsCBNRRBFaaIUBQtGE9NMGVON88UkJqOJk1GTWJKJJpms/a3fSe7LfQ3ua5dX9lnLdR+8c8/Z53dca292+W0KCQrWUoIpm1OooqxMFSnxl/naVauN5jiUl1XQkoWLCMy29jTevPKmqKrR5aGRlDWeFRWVwmOEPjzmjh9//JGmTZlKhw+3at0R1odBhDwfsNOqOfY37BNhKEOdkQcGz4neQdW796gpEu/FCLgkAmyouOS1u96hEeJxGzeeentPaRRhc3OLoLu3Zjfd4ZD95ptvjFaNQCHDkKrdWzPcEqPyHapwEJJJ3LDRINsuZEfeCgwNsN2aM1CBhRAY1tL9l5aSJphpke+j1jjR3S3ycAyx9qIZoq+3j900mFQLE96HERgtBNhQGS3keV/VEUhPSaUsnS7Kvkt96HT/KdVkAaX7DPdp1H9qUE8hoywYuSyff2Z/PBwPHz4UycdrV68xGL6CcdHe3iWMld6TPSbjGRoUTLt3V+thglJg4KUmjT/uCNVYbW2devIg3APPV0ZaOnGFj8nXzC8wAmYhwIaKWbDxS46IwIcffCD+SpbniaD6B4pHTaVTUVYuElENVZDkbcsjKG015VF6l6hMAold+FrjlPZtbR3kPnkKIWSkdKA5JIjSDLH4omfSqb5+pUtZPO+9d98TxmJTU4uekQJDDI0c7aFRo8UH5QUYAQdCgA0VB7osFtVyBFYtXyG4QOThhUWeXqIs1vLVla2A6hYYI+ikLJcDn2G8IHnz6JFWZYupPAvsr6tXrKToyGijYaDq6hrBuou8EyWjvraOYtbF6GGB3j3oM6TWgCcLbLgwXnXv5cCBg8LL0n38uFri8D6MACPwBwJsqPB/BZdC4B/Xr4tKllOnz2iUUVXlTvJd6k0wINQaYDmFUjTEvgqvBEJAmGOPAx2NQwKDCD2AdBW69DMMmazMTEXiL1zgSYbYXpd4LSJLEnQVbf7HJISWUMFTUlymd6aS4lLxf+a1V181ZUmeywgwAlZCgA0VKwHJyzgOAttycih2faxGIcGLAU4QNfk5gNbll14W+RcDA2c1skiKHgmkGxM22C2o6KYMorqiwu16suMMKCcGKRzOONy4desWTZ/irrfG0aPtNGvadFVCYEjSBess2GUl/PEETT8MLhhSYDfmwQgwAqODABsqo4M77zqKCDx48EAYCDU1dRrFhGog9JdRm7grLzdXsJ7KFSQ+o7IE8sADZK/ji5s3hafBUD4HztDQsF808EMirrFx9swZg52IUTpeXLTd2GtW/X1N9V5B6Ca/A7Q3QO8eGItKQ1hWFYoXYwQYAQ0CbKhooOAProTA22+9JXIO5N15W1paRTimq6NDNSgQRpk7ew4hr0OuKPE5NzuX1kdFqyaLORuB8h5VOaiG0ZUfP8NzVVRQaHTpnZWVBKNE990FHvNUaTYIjw4SeeWNGM8PXRR5QuWl9tMw0iiA/AUj4AIIsKHiApfMRzSMAJI4fZZ6a1Gjd3QcF9Tx+E6tgQqZGVPdSTcEhNADfm9PTQsNYbKrqopCArXJ9CTDAzwkk8ZPIGNeFVQR7dq1R8tQQVnwTPdpqoR9osIjaKtOyTr6+myIj1dlf0N48u8YAUZAGwE2VLTx4J9cCAGUAEeFh1NSYpKWouzp6SdUAoF2H1Uuaoz83G0GQ0CFBUUUtnqNGiKYvQeSkL0XL6Gy0nItHCVjJTI8kowZfuiTo9v8ECy9ifEJZsuj9MWvbn/1O6PuhUsauXdW7aaF8xeQGj2glMrJ8xgBV0eADRVX/x/g4uf//vvvRbVHaYm2kkVvF/CFoBroztdf2xwlYyGgoQuXaPaMmYRQlT0P9CmaOnESIbdDMlCkJxJjp0+ZqtchGti7jR2nN3/L5hTaXWX7xoNHDh8WybKSnODX8Zg5i668cUUR1Dc//5zaj7VR4/79dKipmVqPHKHjXV305RdfKHqfJzECjIAyBNhQUYYTz3JiBFDRgcTVutoGPaWZvTVHhCGs0XRvJAhff+01YTTJCemgREtLymh5cMhIr4/696XFxRS2eq0ehjgDQkO6uT+g5p8zY6be/PA1YdTbYzq7rakApKemalUtoc/Qgrnzhl3m7++8QxmpaaIiCbk5URFRtHHDRkqIS6C4mDiKCIsQeU5e8+aLPlL2nAw97EH5S0bAjhBgQ8WOLoNFGT0EoICmTJxksCle5Y4q4S346MMPbS7gitBQYZhIf+XjCcNl3hwPeuXyZZvvb8kGCJOhpNhQFRAqgBBSkQ8YiPPnzNUzVBBGunr1qnyqTT4nbUikivIdmv1bW4/RYk8vg3vdvXuXEmLjaKb7dJHkDJZa+R3JP6PcHX2kNidvFkYL+GQePXxkcF3+JSPACIyMABsqI2PEM1wEAZQmo7Fe1/ETekoILKlI8ITCsuW48sYbogpI16sCY8nf18+WW1tl7Y62dgpcFqCHHxQ5CNU+vvaxZh94qdDsUK7k8XnpoiX0/nvvaebZ6sPWjAzK31ag2f/UqUGR+Cu/499++43QoBAeN1QnnTt/QTNfV25DPyNBGpVPOPsn//d/tjoKr8sIODUCbKg49fXy4UxFoPXwEZo7a47BpoEZ6RkU4LeMnj55auqyJs0HvT4SSuWKD3+lQ6lfunjRpLXUnozE2nmz59C+hgNa8uMsSFqu2lGpEQkeKvRZkp8Tn5f5+KqSk4N8krA12qGq9LR04b3avXMX7aysEknVyFNCd2hdOfEzGI7BLlxX10CtrW1GDRl4bmAE37hxQ3N+/sAIMALKEGBDRRlOPMuFENhRXiGqWFAerKuckIOBaiBbDuSqINSj61VBBZCt97bGuZBfAuWuix3CIZ7z/swBeffqu4KvRHdeoH8AqUFX/91339Fkt4nU2dmtJStylbZs2iI8KPX1+7S+g6wwWjbEbxDMuxNeGEuB/v6i/xEMyYnjJ1DyxmTqM8ArA2MFbL3GSrWtgT2vwQg4IwJsqDjjrfKZLEIAZcuJCQkGy4Xh+odCsnWyZ3BAIFVUVGopye7uHhGCsMfOynLAES6ZO2s2NTcf1pIfSh6K+sYnn4jp165dE/T0uobKmpWraeD0afmSNvt88EAjLfZaaNCwkMvV09tPGemZNG+2h/AYwePy6af96+GDAAAgAElEQVSf6smFTtBgGwZ3TJ4srCSthf5IaVtS9N7jXzACjIBxBNhQMY4Nf+PCCIBHA12Mc7Jz9ZQtPAPg/3j8yHYJkkPnzlOAn7/e3vC0yPM87PWKGurqtUp/JUUNT8TePXuE2KCmH/v8GL0uzJuSNlH17t/nqHG+XVU7RdJr0sZkajp4SHhYwO3SUL+fsjKzKCggUBgeSIp9711luTO3b98WFURIqJXOjueZs0OCUPDyy/adGK0G7rwHI6AUATZUlCLF81wOAfCnIK+gtrZeS9lA4ayPXk+F+QU2wwRKfPyYFwh8LnJFlxAXT/saGmy2r7UWvn/vHk0cN140J5TLjy7JSxct1myDKiHd5GV0s46OiNTMUeMDEnsrK3aInBlwqcyaPkN0iC7KLyD0IzKHAA6hJSRAIxQkx6C2pl545dQ4F+/BCDgDAmyoOMMt8hlshgDKlkFk1t6hXY6KChH8/vrHtmsaCO6UvXtrtZTc3upaWrV8hc3Oa82FUc5bkF+oJT/ybmDAfHv/vtgKrLs4k1yRI8yC0MnTp7ZNWrbmWY2thQaYqBbTzXUBiZ8jeMaMnYt/zwioiQAbKmqizXs5JAKd7R2iZHhg8JyWQs3blk8x0etsdqa6mlqRtClX4mieB8XnCOOlS5fIz8dXCzOcZWXoCjrV1y+OAK8USPXkZ8TnIP8Am+cBqYXhq6+8Iho3yns5IbxVXlqmlgi8DyPg0AiwoeLQ18fCq4XA1vQMwTwqV6gIy0xxm0hf3LxpEzHQjBBMqfI9Qan//DN/c4iGeSjjRlWMXEHjLDDw0lJSBWadHR2CzVV+Rnzes3uvQ/DGKL14sNmiNYB0TpQyz54+wyHuUekZeR4jYCsE2FCxFbK8rlMhgJLSaZOnUEtLq0bZQOlA+eRkZdvkrL/88oswSnTLlGEcIQfEEQY6EYOsTlLQeKIcGLk/qF765ptvRJhnaOii1hycGeEREOA5w0D/H5RCn5edE0aoGgy8zoAfn8G1EWBDxbXvn09vAgLdx4/TkoWLtapUwJeBnAskTtpiIA8GORtyRQ+W0y+//NIW21l9zWOtRykyPEJLfpzFY+ZsTX4PSrF1c3EwB16V+XM8VOtgbfXD6yy4esVKQndm6S5j1sWIpoY60/hHRoAR0EGADRUdQPhHRsAYAvAAoIpD10MQHRlNB/btN/aaRb9H35uWFm1WVHh2/v3vf1u0rlovo0wX8krKWXqCT2R/wz4hxrGjR2n1ilV6czB37ao1VF5Sqpa4Nt2noa6OEhMSNedMTUmjXVVVNt2TF2cEnAEBNlSc4Rb5DKohgMTIubPnaLHGgi5eXnJrTWFWhi4XfB6SgkdIZMzfnqWff/7ZmtvYdC1U8PT2ntIoaJylurpGU730ww8/iPAPEoWlc0pPeKzgVbr20Uc2lVGNxS+/9LJWH6TtRSWUyuRvakDPezg4AmyoOPgFsvjqIwCvijxUgT4806e40+effW51YRAWAfeIpLjBTguyOUcaKKeuqanTnAFnOXt2SPDE/Oc//xFHgWdhzarVWnOkM5eVltMSr4VmcZnYE07Ix4HRJZ0L/DwIB/FgBBiB4RFgQ2V4fPhbRkAPgbZjxwg075LCwRMdcvfVW5+IbYHHXGpr69DsVVS4nRITNujJZM+/KC7aLujn5XjhMxo8Sk0Wnzx5IjxVIEPTnYefI8MiKDlxoyrHvHf3HjU1HiR0V07akEigy3/zypsW7w1OFeQzSedrbT1Giz29LF6XF2AEnB0BNlSc/Yb5fFZH4NHDR+Q2dhyB9E1SOuieC0+Ltce4MS9olfeGBoXQwCl1+uBY6yw9J0/qdSkGbpnpmVSwLU+zDUIjc2bMMtiBGD2WFnsupMYDBzTzbfHhUFMTTZ4wkdZFrRNkdfDmoEHhAo95oifQlTeumL3tt99+Kyp/pP8z8JShoSEPRoARGB4BNlSGx4e/ZQQMIpC8MYm25eZpDBXwm4Dy3pr9f+7evSu68UqKbXDwnOAlQU6HIw2w+6JvknQO6Xn48FGa7zFX6ygb4uL1KOel+SdO9IrEXFt1Vu7q6BBdq7u6TujJChlQhYTE4MMtLVoyK/3hzp07oixbOs+unbtpfVS00td5HiPgsgiwoeKyV88HtwQBsK76+y7TUmh+3j5W5f04cbxbK2+jeHuJ6j1wLMFIevfWrVuEnj6SgpaeyO3RNe5ArY+5u3dX683He/v3N4oO0ljTmuPDDz6gKWiV0K7dKkGSVXqiWSEaQx7v6jJ5e4S5gvwDNedCw8PtBYUmr8MvMAKuhgAbKq5243xeqyAAzwmULDwpkhJDZ2Cp5NYamyTGJ1BJcalYH9U+HrNmkyWhB2vIZM4aUpdkCSf503PufEJDQPkAIy+Mhra2Tg228nfytuWJ5oFSIq78XXM/B/oto/KyCq39wKgLen+EgZKTNtHRo+3iezxBuvf1V1+ZtN3OykoRRpLOAn6ZzvZ2k9bgyYyAKyLAhoor3jqf2SoIoBKlufmwRrlVlO+guJhYq6z966+/irCPVNYLJYomhY46nv3LM1pGnaSslweH0osXLugdCx4LeC4Q7pLmyp/grklMSNB7z5xfIDSFknN4eKQ9gDuYcbds2kQdbW0EI8N90mRN76XMjK2iYgfcOkoH+hdJycIwPMFUa6qxo3QvnscIOBMCbKg4023yWVRFIDcrm3KyczXKDdTwCFtYY7zz9tu0yNNLrA2lBkX6+muvWWPpUVnDbdx4OnX6jAYrySCAt8KYVyE3O1s0MJQbENJ7586/KFiCG+rqLT5PZno6ZWdpN0ZctXwl7azUJmN7/PgxhQQEUlJikuDRWbJwEQ2cVpbYjC7bM6a6a/h3Gur3k5+Pj8Wy8wKMgCsgwIaKK9wyn9EmCKCaJXxNmJbynTh+glX68KRs3iyqYqCY4akBn4qjjt9++42e+6thjwrCZc0HmwweDaR2MAzSUtO1MJaMlZMn+0RyKqqFLBkg6zt06E/2XxhUqOpCyEp3oOILnpX2ji6RR4O8pJEGvC4Ra8O0jFpblbOPJAt/zwg4IgJsqDjirbHMdoHAW2++Sct8fLWUKP7Kfv+99yyS76vbX9Gk8W6iLBneFFTGvHL5skVrjubLoix3gpsWTpKxAUPlYGOjUfFQ+TTDfZrR5FqU+IJEDU3/zBn//e9/aexzzwsCOkkm8NagYaCxAU9LRFiECBVBNt0cG933KsrKydfbh6TGiyC7mzppstky667PPzMCzo4AGyrOfsN8PpshcPPzz0WCq6Tg8AwNDqGLL75o0Z55ubmaEl3weCC3wZHHjU8+EYpfjpP0OWJtOMEzNdwQFTluE/V6HklrFBYU0aIFngY9IMOti+++//574T2R1sKzp6efJk9wIxgxhgY8LV7zF5C/3zKRUG2s7xI8STBq0ERSzrmTlpJGKG/nwQgwAsoQYENFGU48ixHQQ0Cq/JEruejIKLNKV6XF79+7J/re9PadFsmnSOi0BiuqtP5oPK+88YZgoZXjJH0OCghU5C0aOj8kwjxoISC9K3+uj15H8TGxZEpyq4QFwnVS0rK0pvfipYRu2cYGQkCQ6aMPPzQ4Bc0Y16xcRQF+/oR+RdK62GfSBDeC14wHI8AIKEOADRVlOPEsRsAgAi88+5xW2ACJlpYkeCJMEBcTJxRbQX4hha1eY3BfR/plb0+PQWZaKG94Jj6+9rGi44A1FiGZAQOVQOeHLgpSuZrqvYrWkk9CGXhuzjaNMQG5jhw5JrwqpobcYICAbRfGCJh3EbqTjBQ8Y9atp9LiYvn2/JkRYARGQIANlREA4q8ZgeEQmPDCWK0SWlSPFJlJ4oW/0hFygNcAlPHTp0wlhD0cfWxOTqb8vAIthQ2lDSWOpNXvvvtO8REL8vIpcJm/wVLnnt5+gZmpoTeEpsCLotu9GeRyYKItLS4hhPmMDZQYNx88KFooYJ3EhETq7x/QOy/CeKgKe/jwobGl+PeMACNgAAE2VAyAwr9iBJQioFvNAmW0KSlZ6eta82praggkYFDiMHhi18dofe+IP6ByZ+I4/dAKztjY2EyouDFlIO8jJnodgUcFa+j+azp4SCTXmtrJGkR98NagxFy+JiqLkPA7bcpU0bUaydMRYWEUGhRMc2fNpjHPPieMHMiDbsi6HhRpLYl+/7NPPzPluDyXEWAEiIgNFf5vwAiYiQCSLZ/9y1+1FFtpSRltTt5k8opSw7qOjuM0eOa8ULb4S9/RR39fHwX6B2hhJCnvLZtTqKKszOQjgpF2mbcPpadlGFx3e1Exec6bT+A9MWW0Hj4icK+pqTO4LujzYQhVV9fQvn2Nwqg5e+6CwbnSGfGsr98n1jWWz2KKjDyXEXBFBNhQccVb5zNbBQE0BwSNvlwpFRVup60ZGSavvy0nhxLi4sVa6anpZntlTN7Yhi+gOgbssnW1DVoYSXjBm2JuS4B7d++Japrysh0G1wZPCRr+mZpcC5ZalByvXrlaGCWSrOY84Y2BpwUhPEdPiLbhfxNemhEYEQE2VEaEiCcwAoYRQG4C2EblSgwdlZFMacpAOAB06ihhRX8ZfDaXF8SUfW09F6R1qMaR4yN9Rr+cqRMnE0JD5o4bN24ITwW8HNK60hOcJQjTIDnZ1AED6/ChFhHagWdma2aWaJUANlxpfWNPGCdVlTspfG2YqN4qKymxakdtU8/C8xkBZ0CADRVnuEU+w6ggcPnly4LjRK60oNSQfGnKiAqPoJzs3yncU7ekUtqWFFNet8u56NUzf44HGQuNrAhdTk2NBy2W/cLQkOjJg3CZ/B7wGYYfOEzM6XQMweCNAalfTlaWaIKICi8YLpHhkSJvBbkrCXEJ4t+aVauF0Ypmiusio6il+RAbKBbfLi/ACPyOABsq/D+BETATAVC/x8f+Hq6RlGRqShrtqtqpeEWEPqBM4QE4PXBGVP3885//VPy+PU6EYYDkUzC8SrjIn/CAoPrl6ZOnVhF/a0YmRUdEGdyrvb1LeF0Q0rF0PH36lK599BF1dXYKIwv3f6ipWRglfb295Oj3Zik+/D4jYCsE2FCxFbK8rtMjgFwUcJ3IlfDGxCRCBYnS4e/rRxUVlWKNlM0plJGapvRVu5zX0txMM92nEZKC5bhIn9FgECGZro4Oq8mP5Fp4b3ZW7Ta4J5JjkXeCvBYejAAj4HgIsKHieHfGEtsJAjAywLUhKWE8165eS6f6+hVJCL6PhQs8Rc8YyZty69YtRe/a26R//etfIuSB0AiqY+SYyD+j0gelvb/++qtVj4D+SuifA/p7+X7S55QtqbQiJNTq+1r1ELwYI8AIGESADRWDsPAvGYHhEUCPGJC9gRFVUoZ4Ll20hN69+u7wL//x7crQ5aIzMt4Di2l6aqqi92w5CQYElP6BffsJ5Gr4hxJi5FwMnTsvknzBZSINGFbgfwHRGXrYSI335JhIn1GhM3v6DPr2/n3pdas+q3fvpiD/QGH4SXtKT3hyggOCCMmtPBgBRsCxEGBDxbHui6W1EwTgNUFCqKQIpSf6xoATZaTxj+vXRdnq0IVLYo15sz0UGzgjrW3O93fu3BGN8mB8gdYeuTe52bniH4yo+Lh4gmE1a/oMGjfmBZGDMmn8BOHFiFkXYzQfRcIFRHjukyYTKnVsNWBkgbUWlVfSvvInkmuRO+MMbL+2wpDXZQTsEQE2VOzxVlgmu0dgc1IyFeQXaSnEruMnROWHEuGRiyIRljU1tdB8j7lKXrPJHDTfmzxhIqHiSN7lV67k5Z8HB88RynAN0cTL5+EzPBmbkjfR3Nlz6NNPP7WJ/PJFwUiL8m5DVUCQJ39bAaHKigcjwAg4DgJsqDjOXbGkdoIA/nJHGeqJE71ahsqOiipaFxU1opQPHjygiePGU/+pQfE+yMlq95reTG/EjRRMONZ6lJ75n/8l8JroGhmW/ow1/Xx8RW6IKf18FIg97JTkjUmUmbHV4HkQqkNi7Qfvvz/sGvwlI8AI2A8CbKjYz12wJA6CwJnBQVG5oqvIQ4KCqefkyRFPMTgwQCtC/gwboVTX1N40I26iYAJyRdB078D+gwaVuu75lP6MZFpwjMCYO9raSvKcFgViWTwFrQeQWGuMwyUjLYMK8wss3ocXYAQYAXUQYENFHZx5FydCYHlwsGAflStuhH0QclDCDZKblU3ZW38neOvtO03IazGV6t0acObl5opOv9I5wIoLT8TK5StEqGaRpxdFhEVQbs42OniwWXR0lubqPhEGgkdpeXCowKFk+3abJc0qOTsaOkJuXTnxc3Nzi8nNEJXsyXMYAUbANgiwoWIbXHlVJ0UASbCgzdftkpu0MZmgnJUMz7nz6PDhVqFEGxr20/LgECWvWXXO/Xv3BMV7X99pIQdI2JBompaSQvD4gNZfIjcDM6uftzeNfe55Wuy1kNZHr6fkjckUE72eQgKDyGPWbHIbO06Evbq7jtOTJ0+sKqs5i6HyCgnKhgyVc+cviK7HaCrJgxFgBOwfATZU7P+OWEI7QiAjLZ3QNFCuAJH3MHXiJPri5s0RJb17967woCDJFGtsLyqh1FGgzN9RXkFxMXFCBqka5sULF4aVH94iGABtR49RQ129eL506ZJIklU7vDOsoH/Q3+NOjHG6zJw2nW7fvj3SMvw9I8AI2AECbKjYwSWwCI6BAAyRyRPc9CpjEC6JjohUdAhQ5i/z8dMYOqhC2Zado+hda016/OiROIekxNHhV6k3yFoyqLEOKrO2FxVrsJYbl8jN+eabb9QQg/dgBBgBCxFgQ8VCAPl110EgPjZWr5oEVPEo7f3q9leKgHjl8mUKCgjUKM+K8h20MWGDonetNQmVPmDQheJGqfGEseMIBHbONkQvpjjtXkySsTL2+TEE6n0ejAAjYP8IsKFi/3fEEtoBAm+8/jrNnj5TL6F0ma8fHWpqUizhpYsXKTQ4RGOo1NbUU9jqNYrft8bEqIhIkfgKpQ22WPzsjKOzvV3k00jGifQEyd6zf3nGGY/MZ2IEnBIBNlSc8lr5UNZE4JdffqGF8xfQ7l3VGgMDSq+ocLtgQjUlPwM09KiqkZQmKlD8vH2sKe6wa/3888+C+v/U6TNChsjwSOpoaxv2HUf9srOjg9ZFrdNgLWGOkNf0KVMd9VgsNyPgcgiwoeJyV84HNhUB9IeRGxdQeK2txwRPCDg7TBlnz5yhVStWapQnSN/cxo0nGENqjCtvvEHei5do9kfFjqlnUENOa+xRVlIq+g9JBor0RNlyesro91Wyxhl5DUbAFRBgQ8UVbpnPaDYCr736qihHllPLg/sEVSMDp06bvO61a9cI5cmS0sRz6aLFhCRbNUZlRQWhgzH2BfcJjKTR4HBR46zo0lxX16CFNc7t77uMRqpwUkM+3oMRYASUIcCGijKceJYDIAB21/0N+0Tp7KGmZvr6K2UJrsaOhuaCoFtvqN+vUXbnzr9I3ouXEjr1mjMQegEfiZw1NWVzCpUWq9PVNyZ6He2s2i3OU71nL61dtdqcY9j9O2hzgOaJA4PnNHcnjDN4sMaOU0TMZ/eHZAEZARdBgA0VF7loZz4mykxXr1hJ7pOmUFxsnCAjAykZuvsmJW6kRw8fmXx8eBlQcgxiMyg46V/42jBKSky0yAuBDr8gepPWRJ4KOharMXyXegtmVuyN7sh5udvU2Fb1PdDd2nepjwZjCetNSZsIXDg8GAFGwHEQYEPFce6KJTWAwA8//ECe8+ZTWmo6DQ1d1FJM6KAbsy5GML+aykJaVFAoklxRISIpuYS4eAoJCLT4r/Hq3XsoXlY2C/I3dBdG6bKtB0jQenr7xZk2Jm4UHihb76n2+vCmoBt1ff0+zd3hDru7e2jSBDfmT1H7Qng/RsBCBNhQsRBAfn10EYDSRz8ayZiAdwKhDXln42U+vnTieLdiQetra8lz3gJC7xtp3aTEJPJb6k0gS7N03Pn6a+HtOXt2SLP+rl17BD29qQaVKbI8ffqUnn/mbySx4oavCaO+3l5TlnCIuV2dneTv+yepnnSHYWvWmh2yc4iDs5CMgJMiwIaKk16sqxxr3hwPOnToiFC+0ZFRNHv6DIqOjBSN8Q4c+L0rcE52LuUrDHG0t7XT7BkzNV4H9PQBc2uA3zKrkqIhVyQ/r0BjqECZ+vn4UldHh82uDiEy98lTNHvCgHvzyps22280FkYOEO6vsbFZc05gC+8KEqB/+umn0RCL92QEGAELEGBDxQLw+NXRReDx48c07vkxQiEV5BdQkH+ARhGhsd6ShYvFd6UlZZQQGzeisL09PaIxX2dnt3gPzetWhC6niLVhVmcx/ejDD2nqpMkk8ZlAmcLgQmNAW1G7g30WnZolDwMU+pdffjkiLo40AaXkuDPpjHiePNlH7pMmE0qzeTACjIDjIcCGiuPdGUv8BwLfffedCKFAGfks8dZSREiGfeHZ5wjhFXCgoKuvsQHCtvLSMuGNOXq0XSi5I0eO0YK58yhl82abcZwUbMvTY07dmplFS7wW0oMHD4yJa/bvpdCPpMRR/fLw4UOz17O3F/v7+oQ3RV5KfubsEC3y9KKGujp7E5flYQQYAYUIsKGiECieZn8IoBOxFMpA8uTH1z7WEnL8mBcob1u+cPkj6dbQQM5JVHiE4NYA+RpCPTAWprhNJHhYbDngEUL5c2Njk5YHYFPyJlEFdOvWLatv/+xf/kpSgjCqomDsOcPA3ePOWlvbNFjiLkMCg2lreoYzHJHPwAi4LAJsqLjs1Tv+weEhmPDCWJH0GhcTR/W1f/7VDA6VZ/7nfwVVOvhVDI1/XL8uKobiY+OF8kZViJ+3L60MXU5IeFVjnD97TisnRvJ2IH8FNO9vv/WWVcWQ8MI+CD3du3vPquuPxmL3792jOTNmUlXlTo2RgvPFrFsvwnaoAuLBCDACjosAGyqOe3csOZFQRFVVu6ilpVXkIXxx86bA5fbt26LZnqGuxgir5OXmEkp1S0vKhXLDE3+RH9i3j0zp3WONS0BYAmEmeb4KFO3evbUiZ2VrRqbVQkGLvRYKrLD+jKnudOfOHWscYdTWQD4PytPT0zI0Rgo8KeDRWebtQ8Y8aaMmMG/MCDACJiPAhorJkPEL9oTA8a4uWhH6e5M/NAlEgqgxPhIYMbuqqmjyBDeCF+X0wBkC0yxI3BZ7etH1j6+P2tHKS0oFlT5yKmBESP/ArApZkQx6svuExfKlbkmhwoIisT7CZY7c5+fGjRuEXkVZW7M1eIE7JzggiKLCw+nHH3+0GC9egBFgBEYfATZURv8OWAILEIAyQq6FlAS7t7qW5syYJcqJtxcUUnlpKWWmp9O82XNo+hR3iouJJXTPhSGApEswtW5M2GAxiZsFR9C8Cs9JgJ8/ndchroOs8BiBvTYxIcEiLpejra2aBF5HLk+++OKLwgNWVvq7RwwYnTjZJzDKycomW/LRaC6MPzACjIAqCLChogrMvIktEeg5cZLApyJ5I6Do0Z8ne2sOZWZspYL8ItHtWPJS4NnVdYLmzpojqn3spSkfQk6JCRsoyD9QLwwEmeH9QS4ODBZzq4Lef+89UQWD9dDF+dzZs7a8GquvDQMEfZaQv9PU1KLxpKBKC4nJCN3xYAQYAedCgA0V57pPlz1NRmoaLQ8JJbj+5QaJoc9QcAilHGs9and4IfGztLhYlErDi2JI/g3xG2hDXLxZsiMBGdVQYN2NXR9LR1pazFpnNF5CFRS4cmDISW0AgE9tTT1NmTiJBk8PjIZYvCcjwAjYGAE2VGwMMC+vDgJPnzylrMxMmjNzlmB8hZLv7x8QYR6EhZoOHqLi7SUUGR4hQgaXLl5URzAzdzkzOCjk3F5UrGesgIgOxoa5pcUIdRXkFxJyelI3bzFTQnVfO9HdLfDIzdmmaQEAI6WosIimTZ5CV//+d3UF4t0YAUZANQTYUFENat5IDQRef+01Stm0mRZ7eYnclVnTZ9DCBZ6i90vShkRqP9ZmM+ZXa58PZdWLFngKCn8prCV5WMAfAx4Zc8blly+LxN3Dh4+KMJI5a6j1Dijx4S1DVZQuRwqSjBEGczZ2XbWw5X0YAUdBgA0VR7kpltMlEUCycNqWFJrpPp3QuBCGCnJwJowdZ7ZHBXkeyOdobT0mWhCAeM4ex7fffkuhQcG0avlKwTAsGWkIWyH8g9YG1mgSaY9nZ5kYAUbgTwTYUPkTC/7ECNgtAvAUgcCues9eKikuo/C1ay2StbKigpDrgtLujrZ2i9ayxcvf3r8vvCibkzdrhXpAyjd/jgcV5hdwZY8tgOc1GQE7RIANFTu8FBaJEdBFADTw8CKgdxEIzl6+9JLuFJN+RthosttEkaeC9eyJvfXJkyeCrC11S6pWfg7yjtC0seXQIZPOypMZAUbAsRFgQ8Wx74+ldwEEKsrKNWRw8DCAzMwaY39Dg6iUCg4IpENNzdZY0iproBFk+NpwLSNFquxxtHJqqwDCizACLo4AGyou/h+Aj2/fCDQ1HhQcMSCn27evUXgU0NvGGgOJqgs85lJ2Vo4o7/3++++tsaxFa7z6yiuicguVTVJOSmNjs2h3cPXqVYvW5pcZAUbAMRFgQ8Ux742ldgEE+np7RdJr94keau/oEk0EkatizfHSpUuChj7QP4Cw32iOX375RVTx7Nm9V2Ok4NyocDLWFmE05eW9GQFGQB0E2FBRB2fehREwCQEoZjRNBAdMZ2c3TZ/qbpVeP4aEyN6aJRJ1C/LyDH2t2u+aDzZRSGCwxkjp6zst2iF0dXaqJgNvxAgwAvaHABsq9ncnLJGLI/DB++8LcjOEPBDuQSlxR3uHzVCBJwNJqqPJUgvGXBC3SVwpZ89doCULF9OuyiqbnZsXZgQYAcdAgA0Vx7gnltJFEICRglBHedkOilkXQzPdp5G9s+ha42pQIh0aHKLxpqxascphWHOtcX5egxFgBIwjwIaKcWz4G0ZAVQTAGDvu+TEUHBgkCN7QTdkVCAjh/5sAAALESURBVM3QjHG+x1w6sP+gMFSqKnfSYk8vQrIvD0aAEWAE2FDh/wOMgB0g0N/XJ/JEQOq2Piqa/v7OO3YglToioOTYe8lSYaQMDp6jGVPd6Z2331Znc96FEWAE7B4BNlTs/opYQFdAoLuri3Kyslyyb80yH19NewCw5aK3Dw9GgBFgBCQE2FCRkOAnI8AIqI7A+bPnaNECL0GTjzLsyRPcyB74XFQHgjdkBBgBowiwoWIUGv6CEWAEbIkAmiMunL+AamrqRNhnU9ImKiootOWWvDYjwAg4IAJsqDjgpbHIjIAzINDV0UF+Pr7CSLnw4kuiPPnzzz53hqPxGRgBRsCKCLChYkUweSlGgBFQhgC6I4PQ7siRY8JQqattIOSq8GAEGAFGQBcBNlR0EeGfGQFGwKYI/PTTTxTkH0ApW1KEkYKePmtWraajra023ZcXZwQYAcdEgA0Vx7w3lpoRcEgEfv31V9H9OSoiSmOk9J8aJLex412CM8YhL42FZgRGGQE2VEb5Anh7RsBVEHj08BElxMbR8pBQQk6K1B05dn2sKM12FRz4nIwAI2AaAmyomIYXz2YEGAEzELgwNCR6FsXHxtO58xc0RkphQZHo3vz48WMzVuVXGAFGwBUQYEPFFW6Zz8gIqIQADI7BgQG6desW/eP6dTrU3ExrVq4SxohEkQ9PCrpCh60JE+XJX9y8qZJ0vA0jwAg4IgJsqDjirbHMjICdIjB07rymFQDaAeDffI95lJGeSVszswjMs0sXLRbelT27dtGTJ0/s9CQsFiPACNgLAmyo2MtNsByMgBMh8ODBA7p69Sqd7D5BVTt2UGF+AZUWl9DBxkZ65fJlAtkbD0aAEWAElCDAhooSlHgOI8AIMAKMACPACIwKAmyojArsvCkjwAgwAowAI8AIKEGADRUlKPEcRoARYAQYAUaAERgVBP4faXOXP5VFq/kAAAAASUVORK5CYII=\"/></p>\n<p style=\"text-align: center;\">[Source: Kristian McConville, Angus Atkinson, Elaine S. Fileman, John I. Spicer, Andrew G. Hirst. Disentangling the counteracting effects of water content and carbon mass on zooplankton growth. <em>Journal of Plankton Research</em>. 2017, Volume 39, Issue 2, Pages 246–256. https://doi.org/10.1093/plankt/fbw094. Adapted (and translated) by permission of Oxford University Press.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> process that results in the loss of carbon dioxide from a marine organism such as a crustacean or a jellyfish.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The crustacean and the jellyfish obtain carbon compounds by feeding. State <strong>one</strong> source of carbon for marine organisms, other than feeding.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how energy enters, flows through and is lost from marine food chains.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce whether jellyfish or crustacea are a richer source of carbon in a food chain.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest with a reason whether having a large body mass is an advantage or disadvantage for jellyfish.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. (aerobic/cellular) respiration ✔</p>\n<p>b. gas exchange / diffusion ✔</p>\n<p><em>Do not accept photosynthesis</em>.</p>\n<p><em>Do not accept breathing </em></p>\n<p><em>Organism is taken to be a living thing</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. photosynthesis ✔</p>\n<p>b. absorption of (dissolved) carbon dioxide / (hydrogen)carbonate directly from the oceans ✔</p>\n<p><em>Accept reference to carbonate or hydrogencarbonate ions</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. light energy is converted to chemical energy (in carbon compounds/sugars) by <span style=\"text-decoration:underline;\">photosynthesis</span> ✔</p>\n<p>b. (chemical) energy (in carbon compounds) flows by means of feeding/through food chains/webs ✔</p>\n<p>c. only (approximately) 10 % of energy is passed to the next trophic level ✔</p>\n<p>d. energy released as heat (by respiration) ✔</p>\n<p>e. energy is not recycled ✔</p>\n<p>f. after death, energy may remain trapped as undigested detritus/fossils/fossil fuels ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>crustacean as they have more carbon per unit volume <br/><em><strong>OR</strong></em><br/> crustacean as jellyfish has little carbon per total body size ✔</p>\n<p><em>OWTTE</em>.</p>\n<p><em>The conclusion must be supported from the information given</em>.</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. advantage of large size is ability to eat /catch large prey ✔</p>\n<p>b. (advantage as) lower rates of predation of large jellyfish ✔</p>\n<p>c. (advantage as) can produce more reproductive cells ✔</p>\n<p>d. (disadvantage as) can move slower to escape from predators/capture prey ✔</p>\n<p>e. (disadvantage as) needs more energy/nutrients to maintain structure/move/grow ✔</p>\n<p>f. (disadvantage as) low surface area to volume ratio and thus possibly difficulty with materials/gas/nutrient exchange ✔</p>\n<p>g. (disadvantage as) more prone to mechanical damage during storms ✔</p>\n<p><em>Accept other reasonable answer</em>.</p>\n<p><em>Must say advantage or</em> disadvantage.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 4(a) most were able to state 'respiration' as the answer. 4(b) proved more difficult with fewer stating photosynthesis or absorption of dissolved CO<sub>2</sub> or HCO<sub>3</sub> from the seawater. Vague answers such as 'carbon in the water' were not credited. In 4(c) most knew that energy enters with sunlight, but did not state photosynthesis. They knew that it was transferred by feeding through the trophic levels and lost as heat due to respiration. A surprising number incorrectly stated that the energy was recycled and some drew diagrams of the energy flow showing this. In 4(d)(i) most were able to state that the crustacean was a richer source of carbon. An explanation using the data from the diagram was expected. In 4(d)(ii) most were able to present an argument for advantage or disadvantage.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 4(a) most were able to state 'respiration' as the answer. 4(b) proved more difficult with fewer stating photosynthesis or absorption of dissolved CO<sub>2</sub> or HCO<sub>3</sub> from the seawater. Vague answers such as 'carbon in the water' were not credited. In 4(c) most knew that energy enters with sunlight, but did not state photosynthesis. They knew that it was transferred by feeding through the trophic levels and lost as heat due to respiration. A surprising number incorrectly stated that the energy was recycled and some drew diagrams of the energy flow showing this. In 4(d)(i) most were able to state that the crustacean was a richer source of carbon. An explanation using the data from the diagram was expected. In 4(d)(ii) most were able to present an argument for advantage or disadvantage.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 4(a) most were able to state 'respiration' as the answer. 4(b) proved more difficult with fewer stating photosynthesis or absorption of dissolved CO<sub>2</sub> or HCO<sub>3</sub> from the seawater. Vague answers such as 'carbon in the water' were not credited. In 4(c) most knew that energy enters with sunlight, but did not state photosynthesis. They knew that it was transferred by feeding through the trophic levels and lost as heat due to respiration. A surprising number incorrectly stated that the energy was recycled and some drew diagrams of the energy flow showing this. In 4(d)(i) most were able to state that the crustacean was a richer source of carbon. An explanation using the data from the diagram was expected. In 4(d)(ii) most were able to present an argument for advantage or disadvantage.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 4(a) most were able to state 'respiration' as the answer. 4(b) proved more difficult with fewer stating photosynthesis or absorption of dissolved CO<sub>2</sub> or HCO<sub>3</sub> from the seawater. Vague answers such as 'carbon in the water' were not credited. In 4(c) most knew that energy enters with sunlight, but did not state photosynthesis. They knew that it was transferred by feeding through the trophic levels and lost as heat due to respiration. A surprising number incorrectly stated that the energy was recycled and some drew diagrams of the energy flow showing this. In 4(d)(i) most were able to state that the crustacean was a richer source of carbon. An explanation using the data from the diagram was expected. In 4(d)(ii) most were able to present an argument for advantage or disadvantage.</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 4(a) most were able to state 'respiration' as the answer. 4(b) proved more difficult with fewer stating photosynthesis or absorption of dissolved CO<sub>2</sub> or HCO<sub>3</sub> from the seawater. Vague answers such as 'carbon in the water' were not credited. In 4(c) most knew that energy enters with sunlight, but did not state photosynthesis. They knew that it was transferred by feeding through the trophic levels and lost as heat due to respiration. A surprising number incorrectly stated that the energy was recycled and some drew diagrams of the energy flow showing this. In 4(d)(i) most were able to state that the crustacean was a richer source of carbon. An explanation using the data from the diagram was expected. In 4(d)(ii) most were able to present an argument for advantage or disadvantage.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-2-17-constructing-carbon-cycle-diagrams",
+      "c4-2-18-ecosystems-as-carbon-sinks-and-carbon-sources",
+      "c4-2-transfers-of-energy-and-matter",
+      "d4-3-5-changes-in-ocean-currents-altering-the-timing-and-extent-of-nutrient-upwelling",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>Pastry cream or confectioners’ custard is made with a combination of milk (rich in casein and lactose), egg yolks, sugar, starch and a flavouring such as vanilla.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the structure of starch.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how amino acids in casein could reach the liver, starting from the moment when the person takes a bite of pastry cream pie.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Congenital lactase deficiency is a type of lactose intolerance that occurs in infants. It is inherited in an autosomal recessive pattern. Calculate the chance of congenital lactose intolerance in a child whose parents are both carriers for the disorder, showing fully how you reached your answer.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. starch is a carbohydrate ✔</p>\n<p>b. starch is formed by carbon, hydrogen and oxygen ✔</p>\n<p>c. it is a polymer/chain/polysaccharide ✔</p>\n<p>d. formed from monosaccharides/simple sugars/glucose ✔</p>\n<p>e. linked together by condensation/dehydration ✔</p>\n<p>f. consists of amylose and amylopectin ✔</p>\n<p>g. amylose is a long chain/unbranched ✔</p>\n<p>h. amylopectin is branched ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. food is mechanically/physically digested in the mouth through mastication/chewing ✔</p>\n<p>b. mixed with saliva (to form the bolus) in mouth ✔</p>\n<p>c. moved through esophagus/peristalsis ✔</p>\n<p>d. proteins digested in the stomach (pepsin) ✔</p>\n<p>e. pancreas secretes enzymes into lumen of small intestine <br/><em><strong>OR</strong></em><br/> (endo)peptidases/trypsin) are secreted by pancreas ✔</p>\n<p>f. enzymes digest macromolecules to monomers <br/><em><strong>OR</strong></em><br/> endopeptidases digest polypeptides to peptides/amino acids ✔ </p>\n<p>g. villi of small intestine absorb amino acids ✔  <em>Allow pepsin</em>. </p>\n<p>h. amino acids carried to blood capillaries ✔</p>\n<p>i. blood (capillaries) carry amino acids to (hepatic portal) vein/blood vessel going to liver ✔</p>\n<p>j. amino acids absorbed by active transport/protein pumps in the villi ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. gametes of both parents shown as a capital and small letter (e.g. L and l) ✔</p>\n<p>b. possible F1 genotypes ✔</p>\n<p>c. 25 % lactose intolerant, 50 % carriers, 25 % lactose tolerant <br/><em><strong>OR</strong></em><br/> 75 % tolerant and 25 % intolerant <br/><em><strong>OR</strong></em><br/> child has 25 %/1:4/<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>4</mn></mfrac></math> chances of inheritance of intolerance ✔</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 40 % of the cohort)</p>\n<p>The question was put in the context of the composition of pastry cream, rather than just diving in with questions. In part (a), the structure of starch was quite well known. The better answers included descriptions of polymers and monomers, amylose and amylopectin, and glucose. Part (b) was challenging to many, requiring a knowledge of the digestive system, enzyme action and the blood supply to the liver. It was possible to gain all of the marks by omitting the references to the blood stream. This was an example of where a clear 'essay plan' would have helped. Weaker candidates wrote at length about carbohydrate and fat digestion which was not required. Surprisingly the position of the pancreas was often confused, with pancreatic enzymes appearing in the stomach. The fundamental idea of the digestion of large molecules (proteins) to small soluble ones (amino acids) which can be absorbed into the blood stream at the villi was missed by many. Part (c) was a straightforward genetics cross, put into the context of lactose intolerance. In general, it was well answered. Although the question clearly stated that it was an autosomal recessive condition, many weaker students were determined to make it sex linked.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 40 % of the cohort)</p>\n<p>The question was put in the context of the composition of pastry cream, rather than just diving in with questions. In part (a), the structure of starch was quite well known. The better answers included descriptions of polymers and monomers, amylose and amylopectin, and glucose. Part (b) was challenging to many, requiring a knowledge of the digestive system, enzyme action and the blood supply to the liver. It was possible to gain all of the marks by omitting the references to the blood stream. This was an example of where a clear 'essay plan' would have helped. Weaker candidates wrote at length about carbohydrate and fat digestion which was not required. Surprisingly the position of the pancreas was often confused, with pancreatic enzymes appearing in the stomach. The fundamental idea of the digestion of large molecules (proteins) to small soluble ones (amino acids) which can be absorbed into the blood stream at the villi was missed by many. Part (c) was a straightforward genetics cross, put into the context of lactose intolerance. In general, it was well answered. Although the question clearly stated that it was an autosomal recessive condition, many weaker students were determined to make it sex linked.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 40 % of the cohort)</p>\n<p>The question was put in the context of the composition of pastry cream, rather than just diving in with questions. In part (a), the structure of starch was quite well known. The better answers included descriptions of polymers and monomers, amylose and amylopectin, and glucose. Part (b) was challenging to many, requiring a knowledge of the digestive system, enzyme action and the blood supply to the liver. It was possible to gain all of the marks by omitting the references to the blood stream. This was an example of where a clear 'essay plan' would have helped. Weaker candidates wrote at length about carbohydrate and fat digestion which was not required. Surprisingly the position of the pancreas was often confused, with pancreatic enzymes appearing in the stomach. The fundamental idea of the digestion of large molecules (proteins) to small soluble ones (amino acids) which can be absorbed into the blood stream at the villi was missed by many. Part (c) was a straightforward genetics cross, put into the context of lactose intolerance. In general, it was well answered. Although the question clearly stated that it was an autosomal recessive condition, many weaker students were determined to make it sex linked.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b1-1-5-polysaccharides-as-energy-storage-compounds",
+      "b1-1-carbohydrates-and-lipids",
+      "d3-2-10-incomplete-dominance-and-codominance",
+      "d3-2-3-genotype-as-the-combination-of-alleles-inherited-by-an-organism",
+      "d3-2-4-phenotype-as-the-observable-traits-of-an-organism-resulting-from-genotype-and-environmental-factors",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p>Tuberculosis (TB) is an infectious disease caused by the bacterium <em>Mycobacterium tuberculosis</em>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the structures in <em>M. tuberculosis</em> that are not present in a human cell.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the production of antibodies when a patient is infected with the TB bacterium.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the risk to the human population of indiscriminate use of antibiotics.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cell wall ✔</p>\n<p>b. pili/flagella ✔</p>\n<p>c. 70S ribosomes ✔</p>\n<p>d. nucleoid / circular DNA <br/><em><strong>OR</strong></em><br/> naked DNA ✔</p>\n<p>e. plasmids ✔</p>\n<p><em>As candidates do not need to know the structure of Mycobacterium tuberculosis, all prokaryotic structures are accepted</em>.</p>\n<p><em>Ignore references to membrane bound</em> <em>organelles</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. phagocytes/lymphocytes are white blood cells ✔</p>\n<p>b. TB bacterium has a specific antigen ✔</p>\n<p>c. this antigen is recognised by white blood cells ✔</p>\n<p>d. a clone of lymphocytes/plasma cells/B cells are produced ✔</p>\n<p>e. antibodies are produced by lymphocytes ✔</p>\n<p>f. each lymphocyte produces just one type of antibody ✔</p>\n<p>g. (this is) specific immunity ✔</p>\n<p>h. (part of the) antibody/immunoglobulin binds to the antigen / specific antibody binds to the specific antigen ✔</p>\n<p>i. antibodies are proteins/immunoglobulins ✔</p>\n<p>j. (some) plasma cells become memory cells ✔</p>\n<p>k. memory cells reproduce quickly ✔</p>\n<p>l. memory cells prevent infection in the future ✔</p>\n<p><em>Allow annotated diagrams to explain the process</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. antibiotics block bacterial processes ✔</p>\n<p>b. example of bacterial process ✔ e.g.<em> cell wall formation</em></p>\n<p>c. variations exist naturally in a population / some are naturally resistant to the antibiotic ✔</p>\n<p>d. bacteria that are not resistant to this antibiotic will die / only resistant will survive (when antibiotic given) ✔</p>\n<p>e. this characteristic could be passed to next generation ✔</p>\n<p>f. (natural selection) leads to changes in the proportions/frequency in the population ✔</p>\n<p>g. human population will be exposed to antibiotic resistant bacteria and will not have antibiotic to kill them ✔</p>\n<p>h. (antibiotic resistant bacteria) may pass resistance to other bacteria species/types by means of plasmids (so other bacteria species turn resistant too) ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 60 % of the cohort)</p>\n<p>Part (a) was a departure from the 'draw a prokaryote' type of question that has appeared numerous times. In general, it was well answered. There were some good diagrams as answers which clearly showed only the prokaryotic characteristics. Part (b) asked for an explanation of the production of antibodies. Many weaker students wrote at length about non-specific phagocytosis which was not credited. Weaker students confused antibodies and antigens and even talked about antibiotics. This question was designed to be answered by the Standard Level students using Standard Level material. Some tried to include HL material and became very confused. Part (c) was really a question about Darwin's theory of evolution set in context. Many of the answers were very Lamarckian with the antibiotic causing the mutation, instead of some bacteria already having resistance. Better students opened with comments and an explanation that antibiotics only kill bacteria.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 60 % of the cohort)</p>\n<p>Part (a) was a departure from the 'draw a prokaryote' type of question that has appeared numerous times. In general, it was well answered. There were some good diagrams as answers which clearly showed only the prokaryotic characteristics. Part (b) asked for an explanation of the production of antibodies. Many weaker students wrote at length about non-specific phagocytosis which was not credited. Weaker students confused antibodies and antigens and even talked about antibiotics. This question was designed to be answered by the Standard Level students using Standard Level material. Some tried to include HL material and became very confused. Part (c) was really a question about Darwin's theory of evolution set in context. Many of the answers were very Lamarckian with the antibiotic causing the mutation, instead of some bacteria already having resistance. Better students opened with comments and an explanation that antibiotics only kill bacteria.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(attempted by about 60 % of the cohort)</p>\n<p>Part (a) was a departure from the 'draw a prokaryote' type of question that has appeared numerous times. In general, it was well answered. There were some good diagrams as answers which clearly showed only the prokaryotic characteristics. Part (b) asked for an explanation of the production of antibodies. Many weaker students wrote at length about non-specific phagocytosis which was not credited. Weaker students confused antibodies and antigens and even talked about antibiotics. This question was designed to be answered by the Standard Level students using Standard Level material. Some tried to include HL material and became very confused. Part (c) was really a question about Darwin's theory of evolution set in context. Many of the answers were very Lamarckian with the antibiotic causing the mutation, instead of some bacteria already having resistance. Better students opened with comments and an explanation that antibiotics only kill bacteria.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-10-cell-types-and-cell-structures-viewed-in-light-and-electron-micrographs",
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-cell-structure",
+      "c3-2-10-immunity-as-a-consequence-of-retaining-memory-cells",
+      "c3-2-14-evolution-of-resistance-to-several-antibiotics-in-strains-of-pathogenic-bacteria",
+      "c3-2-6-lymphocytes-as-cells-in-the-adaptive-immune-system-that-cooperate-to-produce-antibodies",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>Hemophilia is a sex-linked disease that affected some members of royal families in Europe during the 19th and 20th centuries.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"specification\">\n<p>The diagram shows the structure of two chromosomes after the first division of meiosis, assuming that there was no crossing over or chiasmata formation.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a Punnett square to show all the possible genotypes of Queen Victoria’s children.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the genotype of Queen Victoria’s daughter Alice.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the same chromosomes to show their structure at the same stage of meiosis if there had been one chiasma between two gene loci.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the stage of meiosis where chiasmata formation may occur.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain gene linkage and its effects on inheritance.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the mechanism that prevents polyspermy during fertilization.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. parental alleles shown as X<sup>H</sup> and X<sup>h</sup> (female) and X<sup>H</sup> and Y (male);<br/>b. Punnett square with genotypes of offspring shown as X<sup>H</sup>X<sup>H</sup> and X<sup>H</sup>Y and X<sup>H</sup>X<sup>h</sup> and X<sup>h</sup>Y;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X<sup>H</sup> X<sup>h</sup>;</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>all four upper arms with one A and both chromosomes with one B and one b on the lower arms;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>The chromatids can be shown as single lines rather than the wider versions in the question</em>.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>prophase I;</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. located on the same chromosome;<br/>b. genes/gene loci close together (on the same chromosome);<br/>c. do not follow (the law of) independent assortment;<br/>d. more chance of recombination if genes are further apart;<br/>e. inherited together unless crossing over/recombination occurs;<br/>f. ratios of offspring in dihybrid crosses are different from expected/non-Mendelian<br/><strong>OR</strong><br/>more offspring with parental phenotype combinations than expected;</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. cortical reaction (after first sperm nucleus enters the egg);<br/>b. vesicles/cortical granules release their contents/enzymes (from the egg/zygote);<br/>c. zona pellucida/glycoprotein coat/outer coat hardened / fertilization membrane formed;<br/>d. <span style=\"text-decoration:underline;\">enzymes</span> of sperm/acrosome cannot digest (hardened coat) <br/><strong>OR</strong><br/>glycoproteins/ZP3 (in zona pellucida) altered so sperm cannot bind;</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally this was well answered. Common errors were to omit X and or Y chromosomes, show alleles on both X and Y chromosomes, or show the male X chromosome with a recessive h allele.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Any symbols were accepted for the alleles, as long as they were shown superscript to X and the genotype was heterozygous. 70 % of candidates answered correctly.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was mostly well answered but some candidates showed one chromatid flopped over a non-sister chromatid, like crossed legs of a seated person, without any recombination having occurred. This showed a misunderstanding of the process of crossing over and chiasma formation. There were also a wide range of other answers showing confusion about events in meiosis.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mostly Prophase I was given as the answer but all other phases of Meiosis I were given by some candidates and others failed to specify 1st or 2nd division of meiosis.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The was some confusion between autosomal and sex linkage. Candidates tended either to have a secure understanding of the mechanisms at work in autosomal gene linkage, or none. This question and (d) correlated closely with candidates’ overall score on the paper, so distinguished particularly effectively between stronger and weaker candidates.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers were mixed. Most knew that there is a mechanism that prevents more sperm fusing with the egg after the first one and some gave accurate and detailed accounts of it.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-11-quaternary-structure-of-non-conjugated-and-conjugated-proteins",
+      "b1-2-proteins",
+      "d2-1-11-meiosis-as-a-source-of-variation",
+      "d2-1-9-meiosis-as-a-reduction-division",
+      "d2-1-cell-and-nuclear-division",
+      "d3-1-15-mechanisms-to-prevent-polyspermy",
+      "d3-1-reproduction",
+      "d3-2-12-haemophilia-as-an-example-of-a-sex-linked-genetic-disorder",
+      "d3-2-19-autosomal-gene-linkage",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The image shows human red blood cells.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<p style=\"text-align:center;\">[Source: someoneice/123rf.com.]</p>\n<p style=\"text-align:left;\"> </p>\n<p style=\"text-align:left;\">Outline what will happen to human red blood cells if transferred to distilled water.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Stem cells can be used to treat Stargardt’s disease. State <strong>one</strong> other condition treated using stem cells.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the propagation of nerve impulses along the membrane of a neuron.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>cells absorb water by <span style=\"text-decoration:underline;\">osmosis</span> and swell/increase in volume<br/><strong>OR</strong><br/>cells burst/lyse;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>leukemia/other diseases of the hematopoietic system / skin burns;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. depolarization of part of axon/membrane triggers/causes depolarization of next part;<br/>b. local currents;<br/>c. diffusion of sodium ions between depolarized part and next/polarized part (of axon);<br/>d. resting potential reduced/polarization of membrane becomes less /change from -70 to -50mV;<br/>e. sodium channels open when -50mV/threshold potential reached;<br/>f. entry of sodium ions causes depolarization;<br/>g. saltatory conduction in myelinated neurons/axons;</p>\n<p><em>Allow answers in an annotated diagram</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was mostly well answered with candidates realising that water entry due to osmosis would cause the cells to burst.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A range of conditions were suggested, most of which are not currently treatable using stem cells. Diabetes and neurological diseases were not accepted. 60 % of candidates gave an acceptable answer, with leukaemia much the commonest. The correlation between the mark on this question and overall scores was fairly low, which may suggest that inappropriate examples have been learned in some schools. It is important not to raise hopes of stem cell treatment for specific diseases when research is still continuing and regulatory approval is unlikely for many years.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a more difficult question with a much higher correlation coefficient. Many candidates did not understand what is meant by propagation of an impulse along the membrane of a neuron and answers tended to include accounts of the whole sequence of events in an action potential or in synaptic transmission. The mark most frequently awarded was for the mechanism of saltatory conduction.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c2-2-9-propagation-of-an-action-potential-along-a-nerve-fibre/axon-as-a-result-of-local-currents",
+      "c2-2-neural-signalling",
+      "d2-3-3-water-movement-by-osmosis-into-or-out-of-cells",
+      "d2-3-water-potential"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The figure shows a tripeptide.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>Label <strong>one</strong> peptide bond in this molecule.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the secondary structure of proteins.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the action taken by the diaphragm during inhalation.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>circle/bracket around peptide bond / arrow pointing to peptide bond / peptide bond labelled;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Allow either peptide bond</em></p>\n<p><em>Allow if adjacent C=O and NH groups are included in the circle/bracket, but do not allow if other parts of the molecule are included</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. polypeptide wound into a helical structure / alpha/α helix<br/><strong>OR</strong><br/>polypeptide folded back on itself forming a pleated sheet / beta/β pleated sheet;<br/>b. stabilized/held in shape by/due to hydrogen bonds (between C=O and N-H groups);<br/>c. secondary structures are regular/unvarying (within polypeptides/proteins);</p>\n<p><em>Allow annotated diagrams</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>contracts/flattens/becomes less domed/increases volume of thorax;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>80 % of candidates indicated one of the two peptide bonds in the diagram correctly.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some good answers here describing secondary structures and the role of hydrogen bonding.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>80 % of candidates knew that the diaphragm contracts than relaxes during inhalation, or stated that it flattens rather than moves upwards.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-8-pleating-and-coiling-of-secondary-structure-of-proteins",
+      "b1-2-proteins",
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange",
+      "c2-1-10-mechanism-of-action-of-epinephrine-(adrenaline)-receptors",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.5",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the mode of nutrition of detritivores and saprotrophs.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how some plant species are able to respond to changes in their abiotic environment and flower at a precise time of the year.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the extension of the stem in plants.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p><em>Accept not autotrophic/not photosynthetic instead of heterotrophic</em>.</p>\n<p><em>Do not accept that both groups are decomposers or consumers for the similarity</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. genes for flowering are activated/gene activation/changes to gene expression;<br/>b. shoot apex changes from producing leaves/stem to producing flowers;<br/>c. daylength/duration of the day/night length/photoperiod measured/detected/responded to;<br/>d. short day plants flower when they have a long night/period of darkness<br/><strong>OR</strong><br/>long day plants only flower when they have a short night/period of darkness;<br/>e. so short day plants/SDPs flower in late summer/fall/autumn/winter<br/><strong>OR</strong><br/>so long day plants/LDPs flower in spring/(early) summer;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. apical meristem (of shoot/stem) produces cells/elongates the stem<br/><strong>OR</strong><br/>cell division/mitosis in tip/apex of shoot/stem;<br/>b. auxin stimulates cell/stem growth/extension/enlargement;<br/>c. elongation of cells causes stem to grow (in length);</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>About half of candidates answered correctly and there were some well-informed answers, but also many that showed a lack of familiarity with nutrition in detritivores and saprotrophs.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The only relevant changes in the abiotic environment were night length variation over the seasons of the year, which determines when flowering should occur. There were many complicated answers describing the interconversion of the forms of phytochrome, but according to the syllabus this level of detail is not expected and often the simpler ideas that plants can measure night length and respond by the timing of flowering in the year were omitted. Also mostly missing, were the idea of changes to gene expression in the shoot apex, so floral organs start to develop instead of leaves. The average score for this question was only slightly higher than one mark, but the correlation coefficient was high.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, accounts were varied, with stronger ones clearly explaining how the shoot apical meristem generates cells by mitosis and how elongation of these cells, stimulated by auxin, causes stem elongation. Some candidates were side-tracked by phototropism but were able to score some marks from among irrelevant ideas.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c3-1-21-promotion-of-cell-growth-by-auxin",
+      "c3-1-integration-of-body-systems"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>RNA molecules play numerous roles in gene expression and so contribute to variation.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw labelled diagrams to show the structure of RNA nucleotides and how they are linked together to form a molecule of RNA.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain transcription.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between continuous and discrete variation, using examples.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. ribose drawn as pentagon and labelled sugar/ribose;<br/>b. base drawn with correct link to (C<sub>1</sub> of) ribose and labelled base/nitrogenous base;<br/>c. phosphate drawn with correct link to (C<sub>5</sub> of) ribose and labelled P/phosphate;<br/>d. two (or more) ribonucleotides drawn with correct link (C<sub>3</sub> to C<sub>5</sub>)</p>\n<p><img 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\"/></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. synthesis of RNA/mRNA / transcription of DNA to RNA;<br/>b. RNA nucleotides linked together to form a strand/chain;<br/>c. RNA strand assembled on DNA template/antisense strand / copy made of sense strand;<br/>d. <span style=\"text-decoration:underline;\">RNA polymerase</span> carries out transcription/links RNA nucleotides;<br/>e. uncoiling/separation of DNA strands;<br/>f.  5’ end of nucleotides linked to 3’ end of (growing RNA) strand;<br/>g. <span style=\"text-decoration:underline;\">complementary base pairing</span> (is the basis of copying the base sequence);<br/>h. <span style=\"text-decoration:underline;\">uracil</span> instead of <span style=\"text-decoration:underline;\">thymine</span> in RNA;<br/>i. starts at/RNA polymerase binds to a promoter;<br/>j. regulated by transcription factors/DNA binding proteins/nucleosomes;</p>\n<p><em>Annotated diagrams can be used</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates were able to draw the structure of an RNA nucleotide and link it correctly by a 5’ to 3’ bond to another nucleotide. The commonest error was to show two strands of nucleotides linked by base pairing, indicating confusion between RNA and DNA.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers were mixed. Strong candidates had no difficulty in describing transcription in detail but weaker ones tended to get confused with replication and/or translation. Helicase was often stated as the enzyme that uncoils and splits the double helix, rather than RNA polymerase. Marks were not awarded merely for stating that transcription is 5’ to 3’ unless it was clear that the candidate understood that the 5’ terminal of a free nucleotide is linked to the 3’ terminal of the chain of nucleotides already linked up. Candidates are expected to show understanding in their answers, rather than just state memorized phrases.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Differences between continuous and discrete variation were not well known and the average performance for this question was the lowest for any part of Section B. A general fault was to describe the two types of variation separately and in consequence forget to include both sides of a distinction. For example, some candidates stated that the environment can cause continuous variation, but most did not then also state that discrete variation is generally unaffected by environment. A mark was awarded for examples of the two types of variation, but in some cases an inappropriate example was chosen, such as hair colour for discrete variation or eye colour for continuous variation. The latter example was best avoided entirely as there are aspects of both continuous and discrete variation in the pigmentation of the iris.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-3-sugar-phosphate-bonding-and-the-sugar-phosphate-“backbone”-of-dna-and-rna",
+      "a1-2-5-rna-as-a-polymer-formed-by-condensation-of-nucleotide-monomers",
+      "a1-2-nucleic-acids",
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "d1-2-1-transcription-as-the-synthesis-of-rna-using-a-dna-template",
+      "d1-2-13-initiation-of-transcription-at-the-promoter",
+      "d1-2-protein-synthesis",
+      "d3-2-14-continuous-variation-due-to-polygenic-inheritance-and/or-environmental-factors",
+      "d3-2-inheritance",
+      "d4-1-2-roles-of-mutation-and-sexual-reproduction-in-generating-the-variation-on-which-natural-selection-acts",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p>Plants have developed efficient methods for transport and for synthesis of foods.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the properties of water make it an ideal transport medium in plants.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the xylem and phloem of plants.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how the light-independent reactions of photosynthesis rely on the light-dependent reactions.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. polarity of water;<br/>b. hydrogen bonds between water molecules;<br/>c. cohesion between water molecules/water molecules stick together;<br/>d. cohesion allows tensions/low pressures/transpiration pull/movement upward/against gravity;<br/>e. adhesion to cellulose/cell walls generates tensions/pull (in xylem)<br/><strong>OR</strong><br/>adhesion to xylem walls/vessel walls causes capillary rise/upward movement;<br/>f. solvent for many substances / many substances dissolve;<br/>g. liquid at most temperatures experienced by plants / liquid so can flow;</p>\n<p><em>Polarity of water and/or hydrogen bonding can be shown in an annotated diagram</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. light-dependent reactions produce ATP/reduced NADP;<br/>b. ATP generated by chemiosmosis/by photophosphorylation/by ATP synthase;<br/>c. reduced NADP produced by/using electrons from Photosystem I;<br/>d. RuBP + CO<sub>2</sub> to glycerate 3-phosphate (in light independent reactions);<br/>e. glycerate 3-phosphate reduced to triose phosphate (in light independent reactions);<br/>f. ATP/reduced NADP used in the light-independent reactions;<br/>g. reduced NADP provides electrons/hydrogen / to reduce (glycerate 3-phosphate)<br/><strong>OR</strong><br/>reduced NADP used to convert glycerate 3-phosphate to triose phosphate;<br/>h. ATP provides energy (for reduction of glycerate 3-phosphate);<br/>i. ATP needed to regenerate RuBP<br/>j. ATP/reduced NADP run out in darkness<br/>k. <span style=\"text-decoration:underline;\">Calvin cycle</span> only possible with light/in the day/is indirectly dependent on light;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew at least some properties of water that make it useful as a medium for transport in plants. As in previous papers, cohesion and adhesion are often treated as the same process or were confused. Another common error is to refer to hydrogen bonds as strong – their effects are strong because so many hydrogen bonds are formed in water but, thinking of them individually, they are weak interactions.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The average mark was 2/4 for the differences between xylem and phloem. As in 6(c) marks were often lost because only one side of a distinction was given in the answer. A common misconception is that transport in xylem is unidirectional whereas in phloem it is bidirectional. Simultaneous bidirectional transport in individual sieve tubes was hypothesized at one time but this has been falsified. Sap can move in either direction at different times in both phloem sieve tubes and xylem vessels and recent research shows that xylem sap drops back down to the roots as often as every night in some herbaceous plants, making the ascent of sap in air-filled vessels a daily task. Adhesion to cellulose (not lignin) in xylem walls and capillary action is therefore more important for water transport in plants than previously realized.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a fair but challenging question and it yielded the highest correlation coefficient on the paper. Answers covered the whole gamut from the thoroughly confused to the masterly. Full names of intermediates in the Calvin cycle are preferred because abbreviations such as GP are often ambiguous. Weak points in some answers were the need for reduced NADP in the reduction of glycerate 3-phosphate to triose phosphate and the need also for energy from ATP both for this reduction reaction and for phosphorylation reactions in the regeneration of ribulose bisphosphate.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a1-1-5-solvent-properties-of-water-linked-to-its-role-as-a-medium-for-metabolism-and-for-transport-in-plants-and-animals",
+      "a1-1-water",
+      "b3-2-10-distribution-of-tissues-in-a-transverse-section-of-the-root-of-a-dicotyledonous-plant",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-9-distribution-of-tissues-in-a-transverse-section-of-the-stem-of-a-dicotyledonous-plant",
+      "b3-2-transport",
+      "c1-3-19-interdependence-of-the-light-dependent-and-light-independent-reactions",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.8",
+    "Question": "<div class=\"specification\">\n<p>Proteins carry out many important functions in cells and in organisms.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the process of protein denaturation.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the production of antibodies in humans.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between competitive and non-competitive enzyme inhibition.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. change to conformation/shape/tertiary structure/3-D shape;<br/>b. bonds within the protein/intramolecular bonds broken/changed;<br/>c. pH and temperature (outside tolerated ranges) can cause denaturation;<br/>d. vibrations/heat at high temperatures breaks bonds;<br/>e. high pH/low pH/extreme pH alters ionization/charges (of amino acids and breaks ionic bonds);<br/>f. protein cannot carry out its function<br/><strong>OR</strong><br/><span style=\"text-decoration:underline;\">active site</span> of <span style=\"text-decoration:underline;\">enzymes</span> cannot bind substrates/catalyze reaction/no enzyme-substate complex;<br/>g. permanent/irreversible change (usually)<br/><strong>OR</strong><br/>soluble proteins become insoluble/precipitate;</p>\n<p><em>Allow any mark points if made clearly on an annotated graph or diagram</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. antigens stimulate antibody production;<br/>b. antibodies produced by lymphocytes;<br/>c. macrophages/phagocytes ingest/engulf pathogens and display antigens from them;<br/>d. T-cells activated by binding antigen/by macrophage displaying antigen;<br/>e. activated T-cells cause activation of B-cells;<br/>f. mitosis/division of (activated) B-cells (to produce a clone of cells)<br/>g. plasma cells formed from divided/activated/growing/differentiating B-cells;<br/>h. plasma cells/plasma B-cells secrete antibodies;<br/>i. clonal selection / plasma cells make same type of antibody/antibody specific to same antigen;<br/>j. some activated B-cells become memory cells;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Accept mpd in a graph</em>.</p>\n<p><em>Accept mpa, mpb or mpc on an annotated diagram</em>.</p>\n<p><img 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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p style=\"text-align:center;\">[Source: Enzyme inhibition curves,<br/>ImranKhan1992, Available at: <a href=\"https://%20commons.wikimedia.org/wiki/%20File:Enzyme_kinetics_curve.png#/media/%20File:Enzyme_kinetics_curve.png\">https://</a><br/><a href=\"https://%20commons.wikimedia.org/wiki/%20File:Enzyme_kinetics_curve.png#/media/%20File:Enzyme_kinetics_curve.png\">commons.wikimedia.org/wiki/</a><br/><a href=\"https://%20commons.wikimedia.org/wiki/%20File:Enzyme_kinetics_curve.png#/media/%20File:Enzyme_kinetics_curve.png\">File:Enzyme_kinetics_curve.png#/media/</a><br/><a href=\"https://%20commons.wikimedia.org/wiki/%20File:Enzyme_kinetics_curve.png#/media/%20File:Enzyme_kinetics_curve.png\">File:Enzyme_kinetics_curve.png</a> CC0 1.0<br/>Universal (CC0 1.0) Public Domain Dedication<br/><a href=\"https://creativecommons.org/publicdomain/%20zero/1.0/deed.en\">https://creativecommons.org/publicdomain/</a><br/><a href=\"https://creativecommons.org/publicdomain/%20zero/1.0/deed.en\">zero/1.0/deed.en</a> Source adapted.]</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew that denaturation can be caused by excessive temperatures or extreme pH. Fewer candidates mentioned how bonds within a protein are broken by heat or kinetic energy. Even fewer explained how R-group ionization in acidic and basic amino acids can be altered by pH changes, breaking the ionic bonds within protein molecules that help to stabilize tertiary structure.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was another question giving scope to candidates to show the breadth of their biological understanding. The best answers were impressive but given the challenging nature of the topic it isn’t surprising that there were also some very muddled accounts. The weakest candidates struggled to remember the differences between antigens, antibodies and lymphocytes.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In a parallel way to 6(c) and 7(b), there was a tendency for candidates to write about the two types of enzyme inhibition separately and as a result not to distinguish between them fully. For example. many candidates stated that competitive inhibitors show some chemical similarity to the substrate but did not then state that non-competitive inhibitors are typically dissimilar. An error which is repeatedly seen in enzyme questions is for candidates to state that the active site is on the substrate rather than the enzyme. Some candidates drew sketch graphs to show the difference between competitive and non-competitive inhibitors in the effect of substrate concentration, but either did not label the x-axis or labelled it ‘time’ rather than ‘substrate concentration’.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-2-5-effect-of-ph-and-temperature-on-protein-structure",
+      "b1-2-proteins",
+      "c1-1-15-competitive-inhibition-as-a-consequence-of-an-inhibitor-binding-reversibly-to-an-active-site",
+      "c1-1-16-regulation-of-metabolic-pathways-by-feedback-inhibition",
+      "c1-1-17-mechanism-based-inhibition-as-a-consequence-of-chemical-changes-to-the-active-site-caused-by-the-irreversible-binding-of-an-inhibitor",
+      "c1-1-enzymes-and-metabolism",
+      "c3-2-10-immunity-as-a-consequence-of-retaining-memory-cells",
+      "c3-2-6-lymphocytes-as-cells-in-the-adaptive-immune-system-that-cooperate-to-produce-antibodies",
+      "c3-2-8-activation-of-b-lymphocytes-by-helper-t-lymphocytes",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>The incidence of white syndrome, an infectious disease of coral, was investigated in a six-year study on Australia’s Great Barrier Reef. The map shows disease conditions on coral reefs at six study sites.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted from Bruno, J.F., Selig, E.R., Casey, K.S., Page, C.A., Willis, B.L., Harvell, C.D., Sweatman,<br/>H. and Melendy, A.M., 2007. <em>PLOS Biology</em>, [e-journal] 5(6), e124. https://doi.org/10.1371/journal.pbio.0050124.]</p>\n</div><div class=\"specification\">\n<p>Satellites were used to record sea surface temperatures. The temperatures each week above a reef were compared with mean temperatures for that week between 1985 and 2004. If the sea surface temperature was 1 °C or more above the mean, this was recorded as a weekly sea surface temperature anomaly (WSSTA). The number of WSSTAs was calculated for the twelve months preceding the date on which a reef was surveyed for white syndrome.</p>\n<p>On each reef, the number of cases of white syndrome in a 1500 m<sup>2</sup> sample area was surveyed once per year. The table shows these cases in relation to numbers of WSSTAs and coral cover on the reef. Low coral cover was 0–24 % and high coral cover was 50–75 %.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted from Bruno, J.F., Selig, E.R., Casey, K.S., Page, C.A., Willis, B.L., Harvell, C.D., Sweatman,<br/>H. and Melendy, A.M., 2007. <em>PLOS Biology</em>, [e-journal] 5(6), e124. https://doi.org/10.1371/journal.pbio.0050124.]</p>\n</div><div class=\"specification\">\n<p>The graphs show the relationship between the weekly sea surface temperature anomalies (WSSTA) and coral cover during two twelve-month periods (1998–99 and 2002–03), which were the warmest in the six-year study. Each dot represents one studied reef.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: adapted from Bruno, J.F., Selig, E.R., Casey, K.S., Page, C.A., Willis, B.L., Harvell, C.D., Sweatman,<br/>H. and Melendy, A.M., 2007. <em>PLOS Biology</em>, [e-journal] 5(6), e124. https://doi.org/10.1371/journal.pbio.0050124.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the site with the highest incidence of diseased colonies.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce whether there is a trend in the incidence of white syndrome over the north-south range of latitude.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the evidence that is provided by the data in the table for the harmful effects of rising sea temperatures on corals.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The researchers concluded that there was a threshold coral cover percentage, below which infection rates tended to remain fairly low. Using the data in the table, identify this threshold level.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a reason for a larger percentage of corals being infected with white syndrome on reefs with a higher cover of corals.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the data for 1998–1999 and 2002–2003.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a reason for the correlation between coral cover and WSSTA in 1998–1999.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Some scientists predict that, if humans continue to produce carbon dioxide at the current rate, the pH of the oceans will become more acidic. Suggest possible effects on the coral reefs.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>This study was carried out over six years on the Australian Great Barrier Reef. State <strong>one</strong> advantage of field investigations compared with mesocosm experiments to study ecological processes.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Capricorn and Bunkers group;</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>there is no clear trend;</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. effects (generally) increase with temperature anomalies/WSSTA;<br/>b. effects increase for all different coral covers<br/>OR<br/>in the 25-49 cover there is an anomaly/is not an increasing trend;<br/>c. harmful effect is higher in coral covers between1 50-75 % / vice versa;</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>50 % / 25 % / 49 %<br/>OR<br/>25–49 % (coral cover);</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the closer the corals are (to each other) the easier the transmission; <br/>b. other organisms in the community may act as vectors/carriers / OWTTE;</p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Similarities</strong></em><br/>a. similar range of cover in both periods<br/>OR <br/>weak correlation/no correlation in either;</p>\n<p><em><strong>Differences</strong></em><br/>b. higher WSSTA range/more WSSTA in 1998–1999 than 2002–2003<br/>OR<br/>positive (2002–2003) versus negative correlation (98–99)<br/>OR<br/>more coral reefs with very low % of coral cover (0–20 %) in 2002–2003;</p>\n<p><em>Must respond with one similarity and one difference for full marks</em>.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>coral cover lower on reefs with higher temperature;</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. corals would not be able to maintain their skeletons;<br/>b. (if coral reefs are lost) habitat will be lost;<br/>c. some organisms/coral can decline if the water becomes too acidified;<br/>d. coral bleaching could occur/become worse<br/>OR<br/>coral could expel their mutualistic alga/zooxanthellae;<br/>e. enzymes could be denatured;</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>real environmental conditions / larger scale investigations / more variables studied;</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In general, the data analysis question was well attempted by the majority of students. In 1a almost all were able to correctly name the Capricorn and Bunkers Group.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 1b many just described the incidence at various points, instead of stating that there was no clear trend. There were a few G2 comments that the map did not include compass points, which, perhaps, has some justification. However, by convention maps are usually shown with North at the top.</p>\n<p>The expression ‘coral cover’ did confuse some of the weaker students who imagined that the corals somehow has a sort of cover over them. Most students gained at least 1 mark in 1b (i), despite the criticism from the G2 forms that it was very complex.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were able to able to gain the mark in 1b (ii) for saying that the threshold level was 25 – 49 %.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 1b (iii) the better students realised that it was to do with higher density of corals, not just the more vague ‘higher cover’ given in the stem.</p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 1c contrasts were common, but few gained the comparison mark as well.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 1d weaker students incorrectly wrote about the sea becoming acidic as the pH was increasing (sic). Indeed, it is becoming <span style=\"text-decoration:underline;\">more</span> acidic, as the pH is <span style=\"text-decoration:underline;\">decreasing</span> slightly, leading to more bleaching and the decrease in population of some creatures.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 1e most were able to give a reason why the study was better than a mesocosm.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b4-1-5-conditions-required-for-coral-reef-formation",
+      "b4-1-adaptation-to-environment",
+      "c1-3-7-techniques-for-varying-concentrations-of-carbon-dioxide-light-intensity-or-temperature-experimentally-to-investigate-the-effects-of-limiting-factors-on-the-rate-of-photosynthesis",
+      "c1-3-photosynthesis",
+      "d4-2-4-use-of-a-model-to-investigate-the-effect-of-variables-on-ecosystem-stability",
+      "d4-2-stability-and-change",
+      "d4-3-7-threats-to-coral-reefs-as-an-example-of-potential-ecosystem-collapse",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.2",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The figure shows a tripeptide.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>Label <strong>one</strong> peptide bond in this molecule.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the specific functions of <strong>three named</strong> proteins.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the action taken by the diaphragm during inhalation.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>circle/bracket around peptide bond / arrow pointing to peptide bond / peptide bond labelled;</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Allow either peptide bond</em></p>\n<p><em>Allow if adjacent C=O and NH groups are included in the circle/bracket, but do not allow if other parts of the molecule are included</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. Rubisco fixes CO<sub>2</sub> from atmosphere during photosynthesis;<br/>b. insulin controls blood glucose levels;<br/>c. collagen forms connective tissue/ligaments;<br/>d. spider silk forms the spider web;<br/>e. rhodopsin involved in photoreceptor;<br/>f. immunoglobulins/antibodies attach to antigens/pathogens;<br/>g. actin/myosin performs muscle contraction;<br/>h. hemoglobin carries oxygen in red blood cells;</p>\n<p><em>Accept any other correct <strong>three named</strong> proteins</em></p>\n<p><em>If an enzyme is named, the correct substrate must be stated</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>contracts/flattens/becomes less domed/increases volume of thorax;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>However, in part 2b, many did not describe the functions of the named proteins correctly. Common mistakes were assuming that all hormones are proteins, with many incorrectly giving oestrogen, testosterone and thyroxin for example. Examples were anticipated from the list of proteins found in section 2.4 of the guide.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-11-quaternary-structure-of-non-conjugated-and-conjugated-proteins",
+      "b1-2-2-condensation-reactions-forming-dipeptides-and-longer-chains-of-amino-acids",
+      "b1-2-proteins",
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange",
+      "d2-1-11-meiosis-as-a-source-of-variation",
+      "d2-1-9-meiosis-as-a-reduction-division",
+      "d2-1-cell-and-nuclear-division",
+      "d3-2-12-haemophilia-as-an-example-of-a-sex-linked-genetic-disorder",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.3",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compare and contrast the mode of nutrition of detritivores and saprotrophs.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The image shows an example of a soil food web.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align:center;\">[Source: Anon., n.d. The Soil Food Web. [image online] Available at: https://www.nrcs.usda.gov/wps/portal/nrcs/<br/>photogallery/soils/health/biology/gallery/?cid=1788&amp;position=Promo [Accessed 11 March 2020].]</p>\n<p style=\"text-align:left;\"> </p>\n<p style=\"text-align:left;\">Draw a food chain from this food web, showing at least three organisms.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the reasons for food chains rarely containing more than four or five trophic levels.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The amount of food passing into food chains can be affected by the rate of photosynthesis. Explain the effect of <strong>one</strong> limiting factor on photosynthesis.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>All of the leaves in the image are from <em>Solanum</em>, a wild genus of tomato.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<p style=\"text-align:center;\">[Source: Courtesy: National Science Foundation, Credit Leonie Moyle.]</p>\n<p style=\"text-align:left;\"> </p>\n<p style=\"text-align:left;\">State <strong>one</strong> cause of variation in a plant such as the tomato.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p><em>Accept not autotrophic/not photosynthetic instead of heterotrophic.</em></p>\n<p><em>Do not accept that both groups are decomposers or consumers for the similarity</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>food chain of three or more organisms <span style=\"text-decoration:underline;\">starting with plants</span>;</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. energy is lost between the trophic levels;<br/>b. transfer between levels is only usually 10% efficient<br/>OR<br/>energy transformations take place in living organisms / the process is never 100% efficient;<br/>c. energy is lost by the organism/used in respiration / released as heat/movement;<br/>d. energy is lost as waste/feces/urine/undigested food/uneaten parts;<br/>e. as energy is lost between trophic levels and so (higher ones) have less biomass / less biomass available for next level;</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the rate of reaction will be limited by the limiting factor that is nearest to its minimum value;</p>\n<p><em>temperature</em>:<br/>b. enzymes that control photosynthesis are influenced by temperature;<br/>c. as temperature increases, reaction rate will increase;<br/>d. above a certain temperature, the rate of photosynthesis will decrease;<br/>e. (where temperature is limiting) essential enzymes begin to denature/not working to optimum;</p>\n<p><em>light intensity</em>:<br/>f. light is source of energy / converted into chemical energy;<br/>g. as light intensity increases reaction rate will increase;<br/>h. at a certain light intensity, rate of photosynthesis will plateau;<br/>i. another factor becomes limiting;</p>\n<p><em>CO<sub>2</sub> concentration</em>:<br/>j. CO<sub>2</sub> is fixed to form organic molecules;<br/>k. as CO<sub>2</sub> concentration increases, reaction rate will increase;<br/>l. at a certain concentration of CO<sub>2</sub>, rate of photosynthesis will plateau;<br/>m. another factor becomes limiting;</p>\n<p><em>Accept answers using an <span style=\"text-decoration:underline;\">annotated</span> graph to explain</em></p>\n<p><em>Only accept the first factor described</em></p>\n<p><em>Do not accept pH as a limiting factor</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. mutations;<br/>b. meiosis/crossing over/random assortment of homologous pairs;<br/>c. sexual reproduction/recombination/random fertilisation;</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Knowledge of detritivores and saprotrophs was good in 3a, with many of the poorer answers describing them as feeding on inorganic material.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many took the word ‘draw’ literally in the food chain, and the drawings of the nematodes and fungi amused the examiners. A food chain must start with a plant. The stem did say “three organisms”. Detritus was not taken as an organism, so negated the mark.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were able to gain at least two marks for the explanation of energy loss through the trophic levels.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 3c, most knew that temperature/CO<sub>2</sub> concentration/light affect photosynthesis but could not explain the idea of acting as a limiting factor. Only the better students gained all 3 marks.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 3d there was a great deal of variety in the leaf shape, so an answer in terms of sexual reproduction was looked for.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-3-7-techniques-for-varying-concentrations-of-carbon-dioxide-light-intensity-or-temperature-experimentally-to-investigate-the-effects-of-limiting-factors-on-the-rate-of-photosynthesis",
+      "c1-3-photosynthesis",
+      "c4-2-3-flow-of-chemical-energy-through-food-chains",
+      "c4-2-4-construction-of-food-chains-and-food-webs-to-represent-feeding-relationships-in-a-community",
+      "c4-2-transfers-of-energy-and-matter",
+      "d1-3-7-mutation-as-a-source-of-genetic-variation",
+      "d1-3-mutations-and-gene-editing",
+      "d2-3-3-water-movement-by-osmosis-into-or-out-of-cells",
+      "d2-3-water-potential"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.4",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>This micrograph shows a transverse section of an artery.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align:center;\">[Source: OpenStax College, 2013. Comparison of artery and vein. [image online] Available at:<br/><a href=\"https://en.wikipedia.org/wiki/File:2102_Comparison_of_Artery_and_Vein.jpg\">https://en.wikipedia.org/wiki/File:2102_Comparison_of_Artery_and_Vein.jpg</a> Attribution 3.0 Unported<br/>(CC BY 3.0) <a href=\"https:/creativecommons.org/licenses/by/3.0/deed.en\">https:/creativecommons.org/licenses/by/3.0/deed.en</a> [Accessed 11 March 2020].]</p>\n<p style=\"text-align:left;\"> </p>\n<p style=\"text-align:left;\">Explain how the specialized structures of arteries help them to achieve their functions.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> process that produces ATP.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the use of ATP. </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> function of epinephrine in the human body.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. arteries carry blood at high pressure;<br/>b. rupture of arteries is prevented by thick muscular/elastic walls;<br/>c. narrow lumen to maintain a high blood pressure;<br/>d. elastic tissue allows artery to stretch and recoil (to even out pressures);<br/>e. arteries have muscle layers which contract to increase/control the blood flow;<br/>f. folding in the endothelium allows stretching <br/>OR<br/>smooth endothelium reduces friction;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(cell) respiration/photosynthesis;</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>source of energy (for use in the cell)<br/>OR<br/>example of use of ATP<br/>OR<br/>when ATP is converted to ADP + Pi (is hydrolyzed) the energy stored in the phosphate bond is released to be used by the cell;</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increases heart rate<br/>OR<br/>prepares the body for action;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most could state that the arteries carry blood at high pressure, but had difficulty getting the other two marks.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The production of ATP and its use was well known. Although respiration was expected in b(i), photosynthesis was allowed, as ATP is produced in the light-dependent reactions.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part 4c, many students would have benefitted from the inclusion of (adrenaline) after epinephrine as they seemed to not know of the latter. Epinephrine is the term used in the syllabus (section 6.2), so it was expected that the students were familiar with it.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-1-5-ventilation-of-the-lungs",
+      "b3-1-gas-exchange",
+      "b3-2-2-structure-of-arteries-and-veins",
+      "b3-2-3-adaptations-of-arteries-for-the-transport-of-blood-away-from-the-heart",
+      "b3-2-transport",
+      "c1-2-3-energy-transfers-during-interconversions-between-atp-and-adp",
+      "c1-2-4-cell-respiration-as-a-system-for-producing-atp-within-the-cell-using-energy-released-from-carbon-compounds",
+      "c1-2-cell-respiration",
+      "c2-1-10-mechanism-of-action-of-epinephrine-(adrenaline)-receptors",
+      "c2-1-chemical-signalling-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>Substances can move into and out of cells through the cell membrane.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the significance of surface area to volume ratio in the limitation of cell size.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe transport across cell membranes by osmosis.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the adaptations of the small intestine to its function.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. surface area of the cell affects the rate of material exchange;<br/>b. when the cell increases in size, so does its chemical activity/metabolism;<br/>c. (when the cell increases in size/grows) more substances need to be taken in / more waste products need to be excreted;<br/>d. as the volume of the cell increases, so does the surface area, however not to the same extent<br/>OR<br/>when the cell gets bigger, its surface area to volume ratio gets smaller;<br/>e. substances will not be able enter the cell fast enough/cell volume will not be supplied</p>\n<p>OR<br/>metabolic rate will exceed the rate of exchange<br/>OR<br/>when the surface area: volume ratio is higher, the diffusion rate increases;<br/>f. some cells have adaptations to increase their surface area/flatten/microvilli/shape of red blood cells;<br/>g. cells in growth areas tend to divide and remain small<br/>OR<br/>cells divide when maximum size is reached;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. form of diffusion;<br/>b. osmosis is the movement of water molecules;<br/>c. (movement) across a <span style=\"text-decoration:underline;\">selectively</span>/<span style=\"text-decoration:underline;\">semi</span>/<span style=\"text-decoration:underline;\">partially permeable</span> membrane/cell membrane;<br/>d. from a region of low <span style=\"text-decoration:underline;\">solute</span> concentration to a region of high <span style=\"text-decoration:underline;\">solute</span> concentration (until equilibrium is reached)<br/>OR<br/>movement of <span style=\"text-decoration:underline;\">water</span> molecules from a high concentration of <span style=\"text-decoration:underline;\">water</span> to a low concentration of water molecules;<br/>e. it is a passive transport mechanism/does not use ATP;<br/>f. channel proteins/aquaporins are used;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. small intestine is where nutrients are absorbed into the <span style=\"text-decoration:underline;\">bloodstream</span>;<br/>b. very long to maximize absorption;<br/>c. (the small intestine) is lined with (smooth) muscle to allow for the mixing/ <span style=\"text-decoration:underline;\">and</span> moving of digested food;<br/>d. muscles are circular <span style=\"text-decoration:underline;\">and</span> longitudinal;<br/>e. that perform peristalsis;<br/>f. the pancreas (and gall bladder) secretes substances into the small intestine to aid digestion; <br/>g. contain villi, to <span style=\"text-decoration:underline;\">increase surface area</span>;<br/>h. villi have microvilli to increase surface area even more;<br/>i. villi absorb products of digestion/mineral ions/vitamins/glucose;<br/>j. dense capillary network rapidly transports absorbed products;<br/>k. lacteal absorbs lipids from the intestine (into the lymphatic system);<br/>l. (most of the) chemical digestion (into monomers) occurs in small intestine/description of specific enzyme action;</p>\n<p><em>Accept annotated diagrams as part of the explanation</em>.</p>\n<p><img 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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p style=\"text-align:center;\">[Source: © 1999–2022, Rice University. Except<br/>where otherwise noted, textbooks on this site are<br/>licensed under a Creative Commons Attribution 4.0<br/>International License <a href=\"https://creativecommons.org/%20licenses/by/4.0/\">https://creativecommons.org/</a><br/><a href=\"https://creativecommons.org/%20licenses/by/4.0/\">licenses/by/4.0/</a>. Image available at <a href=\"https://%20openstax.org/books/anatomy-and-physiology/%20pages/23-5-the-small-and-large-intestines?%20query=villus&amp;target=%7B%22type%22%3A%%2022search%22%2C%22index%22%3A0%7D#fsid1272744\">https://</a><br/><a href=\"https://%20openstax.org/books/anatomy-and-physiology/%20pages/23-5-the-small-and-large-intestines?%20query=villus&amp;target=%7B%22type%22%3A%%2022search%22%2C%22index%22%3A0%7D#fsid1272744\">openstax.org/books/anatomy-and-physiology/</a><br/><a href=\"https://%20openstax.org/books/anatomy-and-physiology/%20pages/23-5-the-small-and-large-intestines?%20query=villus&amp;target=%7B%22type%22%3A%%2022search%22%2C%22index%22%3A0%7D#fsid1272744\">pages/23-5-the-small-and-large-intestines?</a><br/><a href=\"https://%20openstax.org/books/anatomy-and-physiology/%20pages/23-5-the-small-and-large-intestines?%20query=villus&amp;target=%7B%22type%22%3A%%2022search%22%2C%22index%22%3A0%7D#fsid1272744\">query=villus&amp;target=%7B%22type%22%3A%</a><br/><a href=\"https://%20openstax.org/books/anatomy-and-physiology/%20pages/23-5-the-small-and-large-intestines?%20query=villus&amp;target=%7B%22type%22%3A%%2022search%22%2C%22index%22%3A0%7D#fsid1272744\">22search%22%2C%22index%22%3A0%7D#fsid1272744</a>]</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most knew that as the cell increases in size, the SA:volume ratio decreases but had difficulty explaining its significance.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most gained at least 2 marks describing osmosis. Common mistakes were not making it clear whether the concentration was referring to water or to the solute. A surprising number of students did not refer to water at all.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The structure and function of the small intestine was quite well known. Many missed a mark for omitting to say that the products of digestion are absorbed <span style=\"text-decoration:underline;\">into the blood</span>. Some of the descriptions of microvilli were not clear, not making it evident that they were on the epithelial cells of the villi. The presence and functions of the muscle layers were well known.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b2-3-6-surface-area-to-volume-ratios-and-constraints-on-cell-size",
+      "b2-3-cell-specialization",
+      "d2-3-3-water-movement-by-osmosis-into-or-out-of-cells",
+      "d2-3-water-potential"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>Organisms have evolved a great diversity of cell types.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the endosymbiotic theory.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the need for halving the chromosome number during a sexual life cycle and how this is done.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the binomial system of classification.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. theory that eukaryotic cells evolved from prokaryotes<br/>OR<br/>origin of eukaryotic organisms based on some organisms living inside/engulfed by other organisms<br/>OR<br/>prokaryotic cell engulfed another prokaryote including it in cytoplasm without digesting it;<br/>b. mitochondria/chloroplasts have double membranes;<br/>c. mitochondria/chloroplasts have their own DNA/loop of DNA/naked DNA;<br/>d. mitochondria/chloroplasts have similar size to prokaryotes;<br/>e. mitochondria/chloroplasts can reproduce by binary fission;<br/>f. mitochondria/chloroplasts have 70S ribosomes (same as prokaryotes);</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. chromosome number is halved so the zygote/offspring has same number as the parent / so that chromosome number is not doubled;<br/>b. process is meiosis;<br/>c. DNA/chromosomes replicate (so each chromosome consists of two chromatids);<br/>d. homologous chromosomes pair in prophase I;<br/>e. (these) separate in anaphase I into two cells;<br/>f. (after meiosis I) cells are haploid;<br/>g. in meiosis II chromatids are separated;<br/>h. result is <span style=\"text-decoration:underline;\">four</span> haploid cells/gametes;<br/>i. each gamete is genetically unique;<br/>j. (uniqueness) is due to crossing over/independent assortment/random alignment of chromosomes;<br/>k. fertilization results in the formation of a diploid zygote;<br/>l. (fertilization) results in variation in a population</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>a. the binomial system of names for species is universal among biologists<br/>OR<br/>named according to a globally recognized scheme;<br/>b. allows to classify organisms into groups based on similar characteristics/common ancestry/DNA;<br/>c. every species is given a binomial name;<br/>d. members of the same species can mate and reproduce fertile offspring<br/>e. genus is written first, followed by species;<br/>f. genus is capitalized, (followed by) species is lower case<br/>OR<br/>an <span style=\"text-decoration:underline;\">underlined</span> correct example/stated that it must be underlined or italicized;</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The theory of endosymbiosis was quite well known. Common errors included the original engulfing process being carried out by a eukaryote, rather than a prokaryote.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This provided a departure from the usual questions requiring a straight recall of meiosis. In general, it was well attempted, with all but a few students failing to state that meiosis was at the heart of the question. Despite the question stating <span style=\"text-decoration:underline;\">halving</span> of the chromosome number, many insisted on writing about chromosomal errors such as Down syndrome, which was not pertinent to the question.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This part was about the use of the binomial system for naming organisms. Weaker students insisted on describing the complete classification starting from kingdom, which was not required and put themselves in danger of losing the clarity mark for including superfluous material. Most were able to gain 2 marks for saying that the genus was written before species and about the use of capital/lower case or underlining or italicising.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-3-sugar-phosphate-bonding-and-the-sugar-phosphate-“backbone”-of-dna-and-rna",
+      "a1-2-5-rna-as-a-polymer-formed-by-condensation-of-nucleotide-monomers",
+      "a1-2-nucleic-acids",
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "a3-1-3-binomial-system-for-naming-organisms",
+      "a3-1-diversity-of-organisms",
+      "d2-1-4-roles-of-mitosis-and-meiosis-in-eukaryotes",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how the properties of water make it an ideal transport medium in plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between the xylem and phloem of plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a. polarity of water;\n  <br/>\n  b. hydrogen bonds between water molecules;\n  <br/>\n  c. cohesion between water molecules/water molecules stick together;\n  <br/>\n  d. cohesion allows tensions/low pressures/transpiration pull/movement upward/against gravity;\n  <br/>\n  e. adhesion to cellulose/cell walls generates tensions/pull (in xylem)\n  <br/>\n  <strong>\n   OR\n  </strong>\n  <br/>\n  adhesion to xylem walls/vessel walls causes capillary rise/upward movement;\n  <br/>\n  f. solvent for many substances / many substances dissolve;\n  <br/>\n  g. liquid at most temperatures experienced by plants / liquid so can flow;\n </p>\n <p>\n  <em>\n   Polarity of water and/or hydrogen bonding can be shown in an annotated diagram\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidates knew at least some properties of water that make it useful as a medium for transport in plants. As in previous papers, cohesion and adhesion are often treated as the same process or were confused. Another common error is to refer to hydrogen bonds as strong – their effects are strong because so many hydrogen bonds are formed in water but, thinking of them individually, they are weak interactions.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The average mark was 2/4 for the differences between xylem and phloem. As in 6(c) marks were often lost because only one side of a distinction was given in the answer. A common misconception is that transport in xylem is unidirectional whereas in phloem it is bidirectional. Simultaneous bidirectional transport in individual sieve tubes was hypothesized at one time but this has been falsified. Sap can move in either direction at different times in both phloem sieve tubes and xylem vessels and recent research shows that xylem sap drops back down to the roots as often as every night in some herbaceous plants, making the ascent of sap in air-filled vessels a daily task. Adhesion to cellulose (not lignin) in xylem walls and capillary action is therefore more important for water transport in plants than previously realized.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a1-1-5-solvent-properties-of-water-linked-to-its-role-as-a-medium-for-metabolism-and-for-transport-in-plants-and-animals",
+      "a1-1-water",
+      "b3-2-10-distribution-of-tissues-in-a-transverse-section-of-the-root-of-a-dicotyledonous-plant",
+      "b3-2-7-transport-of-water-from-roots-to-leaves-during-transpiration",
+      "b3-2-9-distribution-of-tissues-in-a-transverse-section-of-the-stem-of-a-dicotyledonous-plant",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p>Hemoglobin is a conjugated protein consisting of four polypeptide chains with attached heme groups.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: LAGUNA DESIGN/Science Photo Library via Getty Images.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the level of protein structure at which the polypeptide chains of hemoglobin are combined.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the shape of the polypeptide chain at X.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the role of tRNA in hemoglobin synthesis.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>quaternary / fourth level;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>\n<span style=\"text-decoration:underline;\">alpha helix</span> / <span style=\"text-decoration:underline;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>α</mi></math> helix</span>\n</li>\n<li>type of secondary structure / second level of protein structure;</li>\n<li>maintained by hydrogen bonds;</li>\n<li>between C=O group and an N–H group;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>decoding/translation (of the genetic code/RNA base sequence);</li>\n<li>carries/brings one amino acid/a specific amino acid/the amino acid (corresponding to codon/anticodon);</li>\n<li>tRNA has an <span style=\"text-decoration:underline;\">anticodon</span> which pairs with mRNA/is complementary to a <span style=\"text-decoration:underline;\">codon</span> (on mRNA);</li>\n</ol>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates knew that association of polypeptide chains is quaternary structure. Any spelling of this term was accepted — only a minority got it correct.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was one of the most successfully answered of questions, with better prepared candidates recognizing the alpha helix and explaining it in terms of hydrogen bonding.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were varied answers to this question. The best made it clear that a tRNA molecule carries one specific amino acid corresponding to its anticodon and to the codon on mRNA to which it binds during translation.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-11-quaternary-structure-of-non-conjugated-and-conjugated-proteins",
+      "b1-2-8-pleating-and-coiling-of-secondary-structure-of-proteins",
+      "b1-2-proteins",
+      "d1-2-6-roles-of-mrna-ribosomes-and-trna-in-translation",
+      "d1-2-protein-synthesis"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows a section through part of the leg of an insect and antagonistic muscles X and Y. The tibia moves in the direction shown by the arrow when the muscle is flexing.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: D G Mackean www.biology-resources.com.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline a reason for the muscles being described as antagonistic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the role of muscle Y.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the muscle attachment of insects differs from humans.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of calcium ions in muscle contraction.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>cause opposite movements / pull in opposite directions / when one <span style=\"text-decoration:underline;\">contracts</span> the other <span style=\"text-decoration:underline;\">relaxes</span>;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>flexor/flexion;</li>\n<li>bends/flexes the leg/limb/joint;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>insect muscle is attached inside (the skeleton) and human muscle outside (the skeleton);<br/>insect muscle is attached to exoskeleton and human to endoskeleton/bones;</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>calcium released from sarcoplasmic reticulum;</li>\n<li>calcium binds to troponin;</li>\n<li>causes tropomyosin to move;</li>\n<li>uncovers binding sites;</li>\n<li>myosin heads bind to the actin forming cross bridges;</li>\n</ol>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to outline what antagonistic muscles are. The term 'extended' was sometimes used instead of 'relax' which is the preferred term as it indicates passivity. </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The mark scheme here was rather too demanding and very few candidates were awarded both marks. The biological distinctions between flexors and flexion were too fine and marks should have been awarded for other relevant ideas. A flexor is a muscle that causes flexion. Although we may speak colloquially of 'flexing our muscles' it is not a muscle that flexes but a limb at a joint.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question probed whether candidates understood the difference between the skeletons of mammals and insects and thus where muscles are attached. Although the diagram shows tendon-like attachment of insect muscles, many candidates claimed that the lack of tendons was the prime difference.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well prepared candidates had no difficulty in describing the role of calcium in muscle contraction but they were in the minority. The discrimination index was very high.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-3-2-sliding-filament-model-of-muscle-contraction",
+      "b3-3-3-role-of-the-protein-titin-and-antagonistic-muscles-in-muscle-relaxation",
+      "b3-3-8-internal-and-external-intercostal-muscles-as-an-example-of-antagonistic-muscle-action-to-facilitate-internal-body-movements",
+      "b3-3-muscle-and-motility-(hl-only)",
+      "c2-2-10-oscilloscope-traces-showing-resting-potentials-and-action-potentials",
+      "c2-2-3-nerve-impulses-as-action-potentials-that-are-propagated-along-nerve-fibres",
+      "c2-2-8-depolarization-and-repolarization-during-action-potentials",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how the properties of water make it an effective coolant for the body.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe how changes in weather conditions affect the transport and loss of water in plants.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how water balance is restored in mammals when they are dehydrated.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>hydrogen bonds hold water molecules together/make water molecules cohere;</li>\n<li>evaporation requires breaking of hydrogen bonds / heat needed to break hydrogen bonds</li>\n<li>water has a high heat of vaporization/high latent heat;</li>\n<li>evaporation of water/sweat removes heat from/cools the skin/body;</li>\n</ol>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>water (vapor) lost by <span style=\"text-decoration:underline;\">transpiration</span>/through <span style=\"text-decoration:underline;\">stomata</span>;</li>\n<li>transpiration/loss of water from leaves causes transport of water (in xylem);<br/><em>Temperature</em>:</li>\n<li>faster/more water loss/transpiration/transport in hotter weather;</li>\n<li>more <span style=\"text-decoration:underline;\">heat</span> for evaporation;<br/><em>Humidity</em>:</li>\n<li>slower/less water loss/transpiration/transport in more humid weather;</li>\n<li>faster diffusion of water (vapor) out of the leaf/through the stomata with low humidity outside;<br/><em><strong>OR</strong></em><br/>no evaporation if air is saturated with water vapor/with 100 % humidity;<br/><em>Wind:</em>\n</li>\n<li>faster/more water loss/transpiration/transport in windy/windier weather;</li>\n<li>wind/air movement carries away water vapor from around the leaf/stomata;</li>\n<li>high winds can cause stomatal closure and so reduce transpiration;<br/><em>Drought:</em>\n</li>\n<li>drought causes stomata to close so reduces loss/transport;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>thirst;</li>\n<li>more water drunk / more water reabsorbed from feces (in the colon/large intestine);</li>\n<li>osmoreceptors in the hypothalamus detect dehydration/high solute concentration in blood;</li>\n<li>ADH secreted;</li>\n<li>by the pituitary gland;</li>\n<li>ADH signals to collecting duct/DCT (cells) to increase permeability to water;</li>\n<li>more aquaporins (in plasma membranes of collecting duct/distal convoluted tubule cells);</li>\n<li>more water reabsorbed from filtrate (in collecting ducts/distal convoluted tubules);</li>\n<li>reabsorption by osmosis / reabsorption due to medulla being hypertonic;</li>\n<li>reabsorbed water passes into the blood/reduces the solute concentration of blood;</li>\n<li>smaller volume/more concentrated/hypertonic urine formed;</li>\n<li>less sweating;</li>\n</ol>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question revealed widespread misunderstanding of the properties of water and changes of state. Most candidates though that water's high specific heat capacity explains its role as a coolant and that sweat cools the body by taking heat from it to raise its temperature. Few candidates referred to the requirement for heat to break hydrogen bonds as water evaporates. To be able to understand biological processes properly, a firm grounding in physics and chemistry is needed, but all too often it was lacking.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More marks were scored here, but again there was widespread misunderstanding of the forces that cause water to evaporate and diffuse out of leaves, and of how conditions such as humidity, temperature and wind can influence the process. Few candidates mentioned concentration gradients between air spaces in the leaf and the atmosphere outside the leaf. There was a tendency to get trends the wrong way round, for example by suggesting that transpiration increases during rainfall because plants have plenty of water and therefore choose to open their stomata more widely.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was poorly answered by many candidates. The discrimination index was very high but the mean mark was only 1.5 out of 7. Often candidates did not get beyond the basic ideas of thirst and drinking water to rehydrate. The best candidates gave concise but detailed accounts of the roles of the hypothalamus, pituitary gland, collecting duct and aquaporins.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-1-6-physical-properties-of-water-and-the-consequences-for-animals-in-aquatic-habitats",
+      "a1-1-water",
+      "b3-1-9-transpiration-as-a-consequence-of-gas-exchange-in-a-leaf",
+      "b3-1-gas-exchange",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline reasons for the therapeutic use of stem cells.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe how monoclonal antibodies are produced.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of the electron transport chain in the generation of ATP by cell respiration.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>unspecialized/undifferentiated stem cells can divide/differentiate along different pathways;</li>\n<li>(stem cells are accessible as they) come from embryos/bone marrow/umbilical cord blood/adult tissue;</li>\n<li>(stem cells) can regenerate/repair/regrow diseased/damaged tissues in people;</li>\n<li>valid specific example;</li>\n<li>drugs can be tested on stem cells (in laboratories to see if they are harmful);</li>\n</ol>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>mice/rabbit/small mammal injected with one type of antigen;</li>\n<li>cells from the spleen/antibody-producing cells are removed;</li>\n<li>plasma cells that produce antibodies (are used);</li>\n<li>myeloma/tumor cells that divide endlessly (are used);</li>\n<li>fusion of plasma cells with tumor/myeloma cells / fusion produces hybridoma cells;</li>\n<li>selection of hybridoma cells / medium used that only allows growth of hybridoma cells;</li>\n<li>fused cells/hybridoma cells are cultured/grown in tissue culture/grown in a fermenter;</li>\n<li>(hybridoma) cells divide endlessly and produce the desired antibodies;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>electron transport chain performs chemiosmosis / chemiosmosis generates ATP;</li>\n<li>receives energy/electrons from oxidation reactions/from Krebs cycle/glycolysis;</li>\n<li>receives electrons from reduced NAD/NADH/reduced FAD/FADH;</li>\n<li>energy released as electrons pass from carrier to carrier (in the chain);</li>\n<li>release of energy (from electron flow) coupled to proton pumping;</li>\n<li>protons pumped into intermembrane space;</li>\n<li>creates proton gradient;</li>\n<li>protons diffuse back/move down the concentration gradient (across membrane);</li>\n<li>protons pass through ATP synthase;</li>\n<li>protons return to the matrix;</li>\n<li>flow of protons provides energy for generating ATP;</li>\n<li>electrons transferred to oxygen at end of electron transport chain;</li>\n</ol>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew something of the therapeutic uses of stem cells, including differentiation for specific roles. There was a tendency for over-optimism over what can be fixed using stem cells. For example, stem cells are not a treatment for most cancers. The best answers stuck to well-established procedures such as the treatments for leukaemia using stem cells from bone marrow.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Production of monoclonal antibodies was not widely understood and the mean mark was below 1 (out of 5). Many answers described the normal immune response by the body that results in production of antibodies, rather than the production of hybridoma cells that allow large-scale antibody manufacture.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>For well-prepared candidates this question posed no difficulty and there were some excellent detailed accounts of chemiosmosis. The discrimination index was the highest for any question on the paper, indicating that there was no room for lucky guesses about the biology here!</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-2-14-generation-of-a-proton-gradient-by-flow-of-electrons-along-the-electron-transport-chain",
+      "c1-2-cell-respiration"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the effect of neonicotinoid pesticides on the nervous system of insects.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the cumulative increase in the mass of control colonies at 7 weeks.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the cumulative increase in mass of the three groups of colonies once they were placed in the field.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for the changes in mass in the colonies between weeks 6 and 8.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data in the graph, predict how the use of neonicotinoid pesticides will affect bumblebee populations.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the species whose eggs are most affected by a high dose of neonicotinoid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the overall effects of low and high doses of neonicotinoid on the egg lengths of all four species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce, based on the data presented, whether the levels of neonicotinoids used in agriculture cause direct harm to\n   <em>\n    B. terrestris\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   blocks synaptic transmission at (cholinergic synapses);\n  </li>\n  <li>\n   binds to (acetylcholine) receptors;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  230 g;\n </p>\n <p>\n  <em>\n   Accept range of 215 – 265. This takes into account the beginning and end of week 7.\n  </em>\n  <br/>\n  <em>\n   Unit required.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   all increased in (cumulative) mass gain up to 5–6 weeks\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   all decreased (in cumulative mass gain) after 6 weeks;\n  </li>\n  <li>\n   both with neonicotinoids have significantly lower (cumulative) mass than the control colonies (at all periods)\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   colonies exposed to high concentration always had the lowest (cumulative) mass gain;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept vice versa\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iv)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   less production of honey/wax;\n  </li>\n  <li>\n   fewer bees/dispersal of bees/queens;\n  </li>\n  <li>\n   bad weather/environmental change/predators/disease/pests;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   number of populations may/will decrease;\n  </li>\n  <li>\n   both treatments decreased very significantly the number of queens;\n  </li>\n  <li>\n   low treatment had (almost) the same effect as the high\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   even low levels have as toxic/lethal effects as high levels;\n  </li>\n  <li>\n   without new queens, new colonies cannot be founded;\n  </li>\n  <li>\n   no/less/little reproduction (as only queens lay eggs);\n  </li>\n  <li>\n   new colonies are essential to maintain bumblebee populations;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   B. lucorum\n  </em>\n  ;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   low doses caused (slight) decrease in (average) egg lengths in 3 species/most species\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   low doses caused a slight increase in 1 species/\n   <em>\n    B. pascuorum\n   </em>\n   ;\n  </li>\n  <li>\n   high doses caused (slightly) lower (average) results in all 4 species (compared to control);\n  </li>\n  <li>\n   in only one species/\n   <em>\n    B. pratorum\n   </em>\n   , the high doses caused larger lengths than the low doses;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept any other valid comparison\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   yes, as even low/both doses (of first neonicotinoid) affect the (overall) development of colonies negatively; (\n   <em>\n    From Graph 1\n   </em>\n   )\n  </li>\n  <li>\n   yes, as decreased numbers of queens (likely) affect reproductive capabilities; (\n   <em>\n    From Graph 2\n   </em>\n   )\n  </li>\n  <li>\n   the second neonicotinoid (likely) had less/little/no effect on the bees as it had little effect on egg size; (\n   <em>\n    From Graph 3\n   </em>\n   )\n  </li>\n </ol>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A pleasing number were able to correctly describe the effect of the pesticides on the synapses and state the cumulative increase correctly in ai and aii. However, in aiii, many did not see the similarity in pattern for the compare mark. In part b stronger candidates commented on the fact that even at low doses the pesticide had a great effect and that the difference between high and low doses was negligible. Many examiners were bemused by the answers to c(i) where about half of the candidates failed to identify\n  <em>\n   B. lucorum\n  </em>\n  as the most affected species.\n  <em>\n   B. pascuorum\n  </em>\n  and\n  <em>\n   B. terrestris\n  </em>\n  were often incorrectly given. In cii. Better candidates described the overall effects as asked, with weaker candidates just describing each species in turn. In 1d the top candidates looked at all of the data, but those who just stated that the effect was not noticeable as the egg length was not significantly smaller gained the mark.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c2-2-12-effects-of-exogenous-chemicals-on-synaptic-transmission",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>The onion (<em>Allium cepa</em>) root cells shown in the micrograph are in different stages of mitosis.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Reischig, J., 2014. Mitosis (261 13) [Pressed; root meristem of onion]. [image online] Available at <a href=\"https://commons.wikimedia.org/wiki/File:Mitosis_(261_13)_Pressed;_root_meristem_of_onion_(cells_in_prophase,_metaphase,_anaphase,_telophase).jpg\">https://commons.wikimedia.org/wiki/File:Mitosis_(261_13)_Pressed;_root_meristem_of_onion_(cells_in_prophase,_metaphase,_anaphase,_telophase).jpg</a>   This file is licensed under the Creative Commons Attribution -ShareAlike 3.0 Unported (CC BY-SA 3.0) <a href=\"https://creativecommons.org/licenses/by-sa/3.0/deed.en\">https://creativecommons.org/licenses/by-sa/3.0/deed.en</a> [Accessed 3 December 2019].]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify, with a reason, the stage shown at X.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the length of the entire cell labelled Y, showing your working.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the role of cyclins in the cell cycle.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the structure of chromosomes in prokaryotes and eukaryotes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain Cairns’s technique to measure the length of the DNA molecule.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>anaphase;</li>\n<li>the (replicated) chromosomes/chromatids are separating/moving to opposite poles of the cell;</li>\n</ol>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>50 μm = 27/28/29 mm, <em>Y</em> = 8/9/10 mm<br/><em><strong>OR</strong></em><br/>50 x 9 /27<br/><em><strong>OR</strong></em><br/>16.7 μm (accept answers in the range of 14.8 μm to 17.2 μm)</p>\n<p><em>Award <strong>[1]</strong> for correct ratios not precise measurements in the work or <strong>[1]</strong> for correct answer with correct unit</em>.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>(group of regulatory proteins that) control/regulate the cell cycle;</li>\n<li>activate cyclin-dependent kinases (which control cell cycle processes);</li>\n</ol>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>prokaryotes (usually) have one chromosome while eukaryotes have numerous chromosomes;</li>\n<li>prokaryotes have a circular chromosome while eukaryotes have linear ones;</li>\n<li>eukaryotes’ chromosomes are associated with histones/proteins but prokaryotes/Eubacteria have naked DNA vs eukaryote DNA associated to proteins/histones;</li>\n</ol>\n<p><em>Accept only differences.</em></p>\n<p><em>Differentiating terms expected;</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>Cairns grew prokaryotes/<em>E. coli</em> in radioactive thymidine/thymine/thymine containing tritium;</li>\n<li>contents of cell put on photographic film/surface (for several weeks) / used autoradiography and electron microscopes;</li>\n<li>measured the length of the DNA molecule and photographed it / produced image of DNA;</li>\n<li>could show the new strands were all labelled with thymidine/thymine;</li>\n</ol>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was generally well done; a few identified the incorrect phase of mitosis, but the observations about cellular events being observed was often correct.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most answers were correct, but some calculations were difficult to follow; some errors in unit conversions led to incorrect decimal places.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question led to a large number of correct answers. Some answers focused on the difference between prokaryotes and eukaryotes instead of their chromosomes.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Asking students to outline Cairn’s technique led to a number of blank answers. That there was a role for autoradiography was better known than how this was used to obtain the length estimate.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-2-microscopy-skills",
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "d2-1-15-control-of-the-cell-cycle-using-cyclins",
+      "d2-1-8-identification-of-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>A group of students used quadrat sampling and the chi-squared test to find out whether the distributions of two plant species were associated with each other or not. These two species were found in the ground vegetation in a woodland ecosystem.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: (left) Pixabay. <br/>(right) Topic, J., n.d. Veronica montana 2. [image online] Available at: http://www.freenatureimages.eu/Plants/<br/>Flora%20S-Z/Veronica%20montana/#Veronica%2520montana%25202%252C%2520Bosereprijs%252C%2520Saxifr<br/>aga-Jasenka%2520Topic.jpg [Accessed 3 December 2019].</p>\n<p style=\"text-align: left;\">The numbers of quadrats with one, both or neither species present were counted and recorded. The observed frequencies from 150 quadrats are shown in the following contingency table.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the alternative hypothesis for this study.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>To calculate chi-squared, expected values must first be calculated. Assuming that there is no association between the two species, calculate the expected number of quadrats in which both species would be present, showing your working.</p>\n<p> </p>\n<p> </p>\n<p> </p>\n<p> </p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of degrees of freedom for this test to determine the critical value of chi-squared.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>When the data in the table were used to calculate chi-squared, the calculated value was 0.056. The critical value is 3.84. Explain the conclusion that can be drawn from the calculated and critical values for chi-squared.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>there is a positive / negative association between the two species;<br/>they tend to grow together / they tend to grow apart;</p>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>\n<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>70</mn><mo> </mo><mo>×</mo><mo> </mo><mn>55</mn></mrow><mn>150</mn></mfrac></math> ;</li>\n<li>25.7;</li>\n</ol>\n<p><em>Award <strong>[1]</strong> for proper values chosen/equation or <strong>[1]</strong> for answer</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1 (df)<br/><em><strong>OR</strong></em><br/>(r-1) (c-1);</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>(when the calculated value is smaller than the critical value) there is no significant association between the two species / H<sub>0</sub>/null hypothesis accepted;</li>\n<li>it is random chance if both species are either present or absent in most quadrats;</li>\n</ol>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were many correct answers, but a number confused the alternate and null hypotheses.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Calculating the degrees of freedom proved problematic for many.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-2-10-anaerobic-cell-respiration-in-yeast-and-its-use-in-brewing-and-baking",
+      "c1-2-5-differences-between-anaerobic-and-aerobic-cell-respiration-in-humans",
+      "c1-2-cell-respiration",
+      "c4-1-15-use-of-the-chi-squared-test-for-association-between-two-species",
+      "c4-1-populations-and-communities"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>DNA forms chromosomes, but much of eukaryote DNA is non-coding.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Pixabay.]</p>\n</div><div class=\"specification\">\n<p>People can be analysed genetically for risks of specific diseases before they actually develop. One of these is type I diabetes.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the structure of nucleosomes.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how the two strands of the DNA double helix are held together.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>There are multiple tandem repeats of nucleotide segments of DNA found in the non-coding DNA between genes. Outline how tandem repeats are used for DNA profiling.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain what happens in a person when they develop type I diabetes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how type I diabetes should be treated to avoid harmful health consequences of the condition.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a unit of DNA wound/coiled around 8 histone proteins / octamer;</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>hydrogen bonding <span style=\"text-decoration:underline;\">between</span> nucleotides / bases;</li>\n<li>complementary base pairs;</li>\n<li>adenine-thymine and cytosine-guanine form base pairs (between the two strands with H-bonding);</li>\n<li>2 bonds between A and T, while 3 bonds between C and G;</li>\n</ol>\n<p><em>OWTTE</em></p>\n<p><em>Full names required for c and d though use ecf.</em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>tandem repeats (at one locus) vary in number of times sequence repeats / represent different alleles for one locus;</li>\n<li>DNA sample cut by restriction enzymes into fragments;</li>\n<li>samples of DNA are amplified at specific genetic sites with PCR;</li>\n<li>the fragments are separated by their size/number of repeats with gel electrophoresis;</li>\n<li>fluorescent/radioactive label attached to different tandem repeats;</li>\n<li>data from several loci at one time uniquely identify individuals / like a fingerprint, combinations of alleles are specific to an individual;</li>\n<li>\n<span style=\"text-decoration:underline;\">comparisons</span>/<span style=\"text-decoration:underline;\">similarities</span> between fragment patterns to determine paternity/evidence match to a suspect’s profile / other example of comparison/similarity;</li>\n</ol>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>insulin is necessary to control/regulate blood glucose concentrations<br/><em><strong>OR</strong></em><br/>insulin is necessary for the cells to take up glucose (for energy);</li>\n<li>insufficient insulin is made by the pancreas<br/><em><strong>OR</strong></em><br/><span style=\"text-decoration:underline;\">autoimmune response</span>/<span style=\"text-decoration:underline;\">antibodies</span> destroy the (β) cells of the pancreas that make insulin;</li>\n<li>reduced uptake of glucose from the blood / glucose accumulates in the blood / elevated blood glucose levels;</li>\n</ol>\n<p><em>“sugar” is NOT accepted in place of glucose. However, this should only be penalized once; i.e., utiltize ECF.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>inject insulin / monitoring blood glucose / devices that release insulin;</li>\n<li>decrease consumption of sugars/CHO / diet modification;</li>\n<li>increase exercise;</li>\n<li>keep weight in healthy range;</li>\n</ol>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The structure of a nucleosome was correctly described for many, but some did not mention the number of histones.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There was a noticeable number of blank answers with respect to this question about using tandem repeats as the foundation of DNA profiling. Others had a good idea about PCR and gel electrophoresis, but many didn't mention restriction enzymes and did not clearly understand that patterns are compared.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question about blood sugar regulation was well done by most. This was a question where the use of general terms rather than specific terms led to lost marks. For example, sugars instead of glucose and ‘the body’ instead of ‘the pancreas’</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-13-structure-of-a-nucleosome",
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "d3-3-3-regulation-of-blood-glucose-as-an-example-of-the-role-of-hormones-in-homeostasis",
+      "d3-3-4-physiological-changes-that-form-the-basis-of-type-1-and-type-2-diabetes",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Three-toed sloths (<em>Bradypus variegatus</em>) are placental mammals that live in trees in Central and South America. They eat leaves and fruit and get almost all their water from succulent plants.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Adapted from Laube, S., 2003. Three-toed-sloth (<em>Bradypus variegatus</em>), Lake Gatun, Republic of Panama. [image online] Available at: https://meta.wikimedia.org/wiki/User:Bradipus#/media/File:Bradypus.jpg] </p>\n</div><div class=\"specification\">\n<p>Three-toed sloths change their body posture in response to the temperature of their environment (ambient temperature). Researchers assessed posture on a scale from 1 to 6, with 1 being when the sloth was curled into a tight ball and 6 when it had all limbs spread. The percentage of time the sloths were observed in each position was recorded at ambient temperatures from 22 °C to 34 °C. The researchers also measured the body temperature of the sloths over the same range of ambient temperatures.</p>\n<p><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Adapted from Cliffe, R.N., Scantlebury, D.M., Kennedy, S.J., Avey-Arroyo, J., Mindich, D. and Wilson, R.P., 2018. The metabolic response of the Bradypus sloth to temperature. <em>PeerJ</em>, [e-journal] 6: e5600. <a href=\"http://dx.doi.org/10.7717/peerj.5600\">http://dx.doi.org/10.7717/peerj.5600</a>. Licensed under a Creative Commons Attribution 4.0 International License <a href=\"https://creativecommons.org/licenses/by/4.0/\">https://creativecommons.org/licenses/by/4.0/</a>.]</p>\n</div><div class=\"specification\">\n<p>The daily food intake of three-toed sloths and daily ambient temperatures were monitored over a 160-day period from February to early July. The graphs show the mean results.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Cliffe et al. (2015), Sloths like it hot: ambient temperature modulates food intake in the brown-throated sloth (<em>Bradypus variegatus</em>). PeerJ 3:e875; DOI <a href=\"10.7717/peerj.875\">10.7717/peerj.875</a> Licensed under a Creative Commons Attribution 4.0 International License <a href=\"https://creativecommons.org/licenses/by/4.0/\">https://creativecommons.org/licenses/by/4.0/</a>.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the relationship between sloth body temperature and ambient temperature.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how this relationship differs from that in humans.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the trend in body posture as ambient temperature rises from 22 to 34 °C.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest reasons for this trend.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The mean daily food intake fluctuated from day to day. State the month that contains the day on which the mean intake of food was highest.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the relationship between ambient daily temperature and food intake in March.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest, with a reason, how the activity of the sloth varies with ambient temperature.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> feature of the sloth that would indicate it is a mammal.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>body temperature increases with ambient temperature / positive correlation;</p>\n<p><em>Since direct can be either –/+, no credit for direct correlation alone.</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>humans maintain/regulate a constant body temperature at different ambient temperatures/maintained by homeostasis;</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>As ambient temperature increases, the sloth spends more time with limbs spread<br/><em><strong>OR</strong></em><br/>as ambient temperature increases the sloth spends less time curled in a ball<br/><em><strong>OR</strong></em><br/>as ambient temperature rises, the posture changes from 1 to 6;</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>less surface area is exposed when curled up<br/><em><strong>OR</strong></em><br/>more surface area is exposed when all limbs spread;</li>\n<li>curled position prevents heat loss/provides warmth<br/><em><strong>OR</strong></em><br/>stretched out position allows more heat loss/body cooled;</li>\n</ol>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>May;</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>food intake rises as daily temperature increases / positive correlation;</li>\n<li>the lowest food intake corresponds to the lowest temperature;</li>\n</ol>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>the sloth will be more active at higher temperatures as it takes in more food for energy;</li>\n<li>as temperature rises, the sloth uncurls to dissipate/lose heat;</li>\n</ol>\n<p><em>Reason required</em>.</p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>mammals have mammary glands;</li>\n<li>produce milk for their offspring;</li>\n<li>bodies covered in hair/fur;</li>\n</ol>\n<p><em>Characteristic must be exclusive to mammals.</em></p>\n<p><em>If more than one answer, use the first one given.</em></p>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Often steady or constant body temperatures for humans was given rather than homeostasis. Some candidates erroneously described humans as warming up in response to cold ambient temperatures.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were a few beautiful responses where surface area was specifically incorporated into the answer achieving maximum marks.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good reasoning was not seen often, best answers needed some of the elements in this linkage: higher temperature led to uncurling which led to movement which led to eating because of energy needs; \"sloth prefers staying curled up so cold does not affect them\" or \"sloth enjoys staying curled up\" were not acceptable</p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Have hair/fur or feed young with milk were the best answers. Many students wrote \"give birth to live young;\" While this is true of most mammals, monotremes lay eggs. Furthermore, some other animals give birth to live young (ovoviviparous) such as some reptiles and some groups of fish. We credited only characteristics exclusive to all mammals.</p>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d3-3-1-homeostasis-as-maintenance-of-the-internal-environment-of-an-organism",
+      "d3-3-2-negative-feedback-loops-in-homeostasis",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>The diagrams represent the structure of a protein before and after it has become denatured.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: Dean Williams, L., 2019. <em>Molecular Interactions</em>. [online] Available at: https://ww2.chemistry.gatech.edu/~lw26/<br/>structure/molecular_interactions/mol_int.html [Accessed 20 August 2019].]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how many different types of amino acid there are, which can become part of a polypeptide when mRNA is translated.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> cause of denaturation in proteins.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how denaturation affects the activity of an enzyme.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>20;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>increase in temperature/heat;</li>\n<li>change of pH;</li>\n<li>salt;</li>\n<li>heavy metals;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>changes the shape of the (active site) of the enzyme;</li>\n<li>substrate would be unable to attach to the enzyme/active site;</li>\n<li>slows the enzyme activity / prevents reaction/catalysis from proceeding;</li>\n</ol>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Amazingly, most candidates missed gaining the mark for this question: a huge variety of incorrect numbers appeared, \"4\" was most frequent. Many candidates seemed to confuse the 4 nucleotide bases with the 20 amino acids.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates answered these questions about enzymes either really well or very poorly. Some erroneous answers mistook the active site as being separate to the enzyme or part of the substrate. Another problem had to do with temperature as a denaturant. Lowering the temperature does not denature the enzyme, though it may slow the reaction down. The candidate needed to say increased or hot temperature to gain a mark.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b1-2-4-infinite-variety-of-possible-peptide-chains",
+      "b1-2-5-effect-of-ph-and-temperature-on-protein-structure",
+      "b1-2-proteins"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>The graph shows the mean annual changes in global temperatures between 1880 and 2014. The mean temperature from 1951 to 1980 was used as the value of zero change in temperature.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\">[Source: National Aeronautics and Space Administration, n.d. GISS Surface Temperature Analysis (v3). [online]<br/>Available at: https://data.giss.nasa.gov/gistemp/graphs_v3/ [Accessed 20 August 2019].]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the increase in mean global temperature between 1880 and 2010.</p>\n<p>.......... °C</p>\n<p> </p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how changes in temperature over short time periods could give a misleading impression of changes to the Earth’s climate. </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how increased carbon dioxide in the air leads to the greenhouse effect.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>0.87; (<em>accept values between 0.8 and 0.9</em>)</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>short-term reading could show global temperatures falling while the trend is rising<br/><em><strong>OR</strong></em><br/>fluctuations from year to year may not show long-term trend;</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>short wave radiation from sun passes through atmosphere / is not absorbed by CO<sub>2</sub>;</li>\n<li>infrared/long wave (radiation) / heat emitted from/released from (surface of) Earth;</li>\n<li>CO<sub>2</sub> in the atmosphere absorbs infrared/long wave (radiation)/heat / cannot pass through the greenhouse gases;</li>\n<li>this results in warm/increased temperatures on Earth/global warming;</li>\n</ol>\n<p><em>Do not accept “reflected” for mpb</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates got the calculations right.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers to this question suffered due to poor expression of an answer. Other candidates answers were succinct and to the point as they used the data to make the point clear.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were elegant answers to this question demonstrating a high level of understanding. Many other candidates mixed up all sorts of ideas here, including the idea of ozone being a cause of global warming and stating as a \"fact\" that heat travels from the sun to the earth. Among the confused ideas was the notion that carbon dioxide is a toxic pollutant.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-2-positive-feedback-cycles-in-global-warming",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p>The pedigree chart shows the incidence of hemophilia in some of the descendants of Queen Victoria.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the probability that Edward had hemophilia.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the reasons for none of the females in the pedigree chart having hemophilia.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>0.5/50 %;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>hemophilia is X-linked/sex-linked/carried on the X chromosome;</li>\n<li>females have two X chromosomes <br/><em><strong>OR</strong></em> <br/>males only have one X chromosome;</li>\n<li>hemophilia is caused by a recessive allele;</li>\n<li>(trait) must be on both alleles to be expressed <br/><em><strong>OR</strong></em> <br/>females would require the allele on both X chromosomes to have the disease<br/><em><strong>OR</strong></em><br/>females can be carriers when allele is only on one chromosome;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Approximately 50 % of the candidates were correct with their answer of 50 %. It was expected that candidates would recognize that Edward is male because he has a box rather than circle in the pedigree. Then from there, they would calculate the 50 %.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were many good answers for this question showing understanding of haemophilia being sex linked and recessive Quite a number then failed to get the third mark by being too vague in their explanations. Some candidates thought that hemophilia is carried on Y chromosome; many understand that females have two X chromosomes; talk about females as carriers was often seen, but without any details to expand the answer; or that males are most likely to have hemophilia but, again, no details; for the most part answers showed shallow understanding.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d1-2-6-roles-of-mrna-ribosomes-and-trna-in-translation",
+      "d1-2-protein-synthesis",
+      "d3-2-12-haemophilia-as-an-example-of-a-sex-linked-genetic-disorder",
+      "d3-2-13-pedigree-charts-to-deduce-patterns-of-inheritance-of-genetic-disorders",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>The graph shows the change in the membrane potential of an axon during an action potential.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the approximate value of the membrane potential at X.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Y is the threshold potential. State what happens when the threshold potential is reached.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the movements in ions that occur during time <em>t</em>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how a nerve impulse is passed on to other neurons.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>0 mV; (<em>accept answers in the range of – 10 mV to +10 mV</em>) (<em>Units required</em>)</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sodium channels (start to) open<br/><em><strong>OR</strong></em><br/>depolarization/axon begins to depolarize<br/><em><strong>OR</strong></em><br/>action potential occurs;</p>\n<p><em>Reject pumping of ions</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Na<sup>+</sup>/sodium ions diffuse into the axon (in the first part/half of <em>t</em>);<br/>K<sup>+</sup> /potassium ions diffuse out of the axon (in the second half/part of <em>t</em>)</p>\n<p><em>Do not accept the name of the element without indication that it is an ion</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>impulses pass to another neuron at a <span style=\"text-decoration:underline;\">synapse</span>/<span style=\"text-decoration:underline;\">across synaptic gap</span>/<span style=\"text-decoration:underline;\">cleft</span>;</li>\n<li>(depolarization causes) Ca<sup>2+</sup>/calcium ions to diffuse into the (presynaptic) neuron/axon;</li>\n<li>depolarization (of presynaptic neuron) causes release of a neurotransmitter<br/><em><strong>OR</strong></em><br/>neurotransmitters diffuse across the synapse;</li>\n<li>(neurotransmitters) bind to receptors on postsynaptic neuron/membrane;</li>\n<li>(if the threshold potential is reached) an action potential occurs/sodium gates open (in the postsynaptic neuron);</li>\n</ol>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were some truly brilliant answers to Question 5. However, the weakest answers in the examination were also found here. Of the questions, these were the most commonly left blank.</p>\n<p>Candidates were often unable to approximate X. Missing units resulted in no marks awarded.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Fundamental terms such as action potential or depolarization were not used in Q5(b) and (c). Some candidates failed to distinguish between elements and ions.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates talked about ion movement but with no reference to a specific ion; some described the Na<sup>+</sup>/K<sup>+</sup> pump here and received no marks.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Use of term \"synapse\" was often missing; involvement of the brain was sometimes built into the passage of a nerve impulse to another neuron.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c2-2-10-oscilloscope-traces-showing-resting-potentials-and-action-potentials",
+      "c2-2-3-nerve-impulses-as-action-potentials-that-are-propagated-along-nerve-fibres",
+      "c2-2-6-release-of-neurotransmitters-from-a-presynaptic-membrane",
+      "c2-2-8-depolarization-and-repolarization-during-action-potentials",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.6",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline reasons for the therapeutic use of stem cells.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe how leaf cells make use of light energy.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how cells and cell components in the blood defend the body against infectious disease.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>unspecialized/undifferentiated stem cells can divide / differentiate along different pathways;</li>\n<li>(stem cells are accessible as they) come from embryos/bone marrow/umbilical cord blood/adult tissue;</li>\n<li>(stem cells) can regenerate/repair diseased/damaged tissues in people;</li>\n<li>valid specific example;</li>\n<li>drugs can be tested on stem cells (in laboratories to see if they are harmful);</li>\n</ol>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>leaf cells contain chloroplasts;</li>\n<li>light is absorbed by chlorophyll (in chloroplasts);</li>\n<li>other pigments absorb different wavelengths;</li>\n<li>light energy is used in photosynthesis;</li>\n<li>(light is needed) to combine water and carbon dioxide/fix carbon dioxide;</li>\n<li>carbon compounds/organic compounds/glucose/starch/carbohydrate are produced;</li>\n<li>blue <strong><span style=\"text-decoration:underline;\">and</span></strong> red light is absorbed;</li>\n<li>perform photolysis<br/><em><strong>OR</strong></em><br/>split water molecules;</li>\n</ol>\n<p><em>Wavelengths accepted for mpg</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"padding-left:30px;\"><em>Platelets</em>: <em><strong>[3 max]</strong></em></p>\n<ol style=\"list-style-type:lower-alpha;\">\n<li>damage/cuts to blood vessels causes platelets to be activated;</li>\n<li>the platelets release clotting factors;</li>\n<li>initiates cascade of reactions<br/><em><strong>OR</strong></em><br/>fibrinogen is converted to fibrin;</li>\n<li>forms a mesh over the damaged area;</li>\n<li>prevents pathogens from entering the body;<br/><br/><em>Phagocytes</em>: <em><strong>[3 max]<br/></strong></em>\n</li>\n<li>phagocytes/phagocytic white blood cells in the blood travel to the site of infection;</li>\n<li>(phagocytes) squeeze between the capillary cells;</li>\n<li>(phagocytes) engulf/ingest/take in pathogens;</li>\n<li>the pathogen is digested/broken down by/within the phagocyte;<br/><br/><em>Lymphocytes</em>: <em><strong>[3 max]</strong></em>\n</li>\n<li>lymphocytes recognize a particular fragment/antigen of a pathogen;</li>\n<li>(lymphocytes) release antibodies;</li>\n<li>(antibodies) provide specific immunity;</li>\n<li>memory cells provide rapid response giving long-term immunity (to pathogens previously recognized);</li>\n<li>antibodies destroy pathogens;</li>\n</ol>\n<p><em>ECF may be applied when candidates use white blood cells in place of specific terms</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some excellent answers; stem cells was usually well answered, leaf cells was often more complex than necessary but marks were usually able to be gained, though many answers were missing the obvious, for example leaf cells contain chloroplasts. Defence against disease; far too often over-complicated and confused answers. It is important that students are aware of the level they need to know. There is no need to over-complicate and risk loss of understanding, which was evident across many answers and which was so confused across the roles of macrophages, B cells and T cells. Equally, for cell components, more often than not this was ignored or mistakenly discussed as skin and mucus over platelets.</p>\n<p>Mostly well done. Appropriate examples provided for stem cell therapies. It seems that many candidates think that all stem cells can differentiate into \"any\" type of cells, which is not correct. Other candidates showed understanding of the discrimination between the source and the potential of the cells. Occasionally candidate showed confusion about the term \"stem\" in that \"stem cells show the way plants grow\"; sometimes therapeutic use of stem cells was confused with gene editing.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally speaking, students know how leaf cells make use of light energy; at least three marks were usually gained. Some candidates made the answer too complex and involved, when a simple straight-forward answer would have been better.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Among all candidates, there was knowledge of how each of the blood components (platelets, phagocytes, lymphocytes) can defend against infectious disease; each of the marking points in the mark scheme was eventually awarded; popular ideas were that fibrin is formed, phagocytes engulf pathogens and antibodies provide specific immunity.</p>\n<p>Correct terminology was confused or was not employed in too many answers.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a1-1-6-physical-properties-of-water-and-the-consequences-for-animals-in-aquatic-habitats",
+      "a1-1-water",
+      "c1-3-1-transformation-of-light-energy-to-chemical-energy-when-carbon-compounds-are-produced-in-photosynthesis",
+      "c1-3-5-absorption-of-specific-wavelengths-of-light-by-photosynthetic-pigments",
+      "c1-3-photosynthesis",
+      "c3-2-10-immunity-as-a-consequence-of-retaining-memory-cells",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a labelled diagram to show the structure of a single nucleotide of RNA.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the processes of meiosis and mitosis.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the development of antibiotic resistance in terms of natural selection.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>ribose drawn as a pentagon and labelled;</li>\n<li>base linked correctly (to C1) of ribose and labelled;</li>\n<li>phosphate linked correctly (to C5) of ribose and labelled;</li>\n</ol>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>Award <strong>[2 max]</strong> if more than one nucleotide drawn. </em></p>\n<p><em>“Sugar” alone is insufficient.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>antibiotics can (generally) kill/destroy bacteria;</li>\n<li>some bacteria show variation/antibiotic resistance;</li>\n<li>variation/resistance is due to a random mutation;</li>\n<li>resistant bacteria are not killed/destroyed by the antibiotic<br/><em><strong>OR</strong></em><br/>bacteria without the mutation die;</li>\n<li>(resistant) bacteria have a selective advantage / unequal success;</li>\n<li>the bacteria with this variation/resistance reproduces/multiplies;</li>\n<li>mutation/gene is passed on to the offspring / the offspring will be resistant to the antibiotic;</li>\n<li>resistant bacteria become more common;</li>\n<li>bacteria have evolved to be resistant to the antibiotic;</li>\n</ol>\n<p><em>Award <strong>[6 max]</strong> if pathogen is used instead of bacteria throughout the answer with no mention of bacteria</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Occasionally, deoxyribose was seen rather ribose; sometimes more than one nucleotide was shown limiting maximum marks.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The best answers had clear comparative statements or were in a comparison table. The worst answers were continuous prose descriptions of the processes, as these all too often failed to be able to be pieced together to make full marking points.</p>\n<p>About half of the candidates did not mention cell divisions, but simply mentioned \"two cycles\" which was too vague and instead of writing haploid/diploid, many said 23/46, which only applies to human or certain organisms.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This natural selection question had better responses than in previous years. There seems to be a widespread misconception that bacteria can mutate after exposure to an antibiotic rather than surviving because of a genetic variation. Some confusion was demonstrated concerning the use of antibiotics: some candidates did not understand that antibiotics are used against bacteria (not viruses). There was lots of confusion in the use of different but similar words — antibiotics / antibody / antigen</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-5-rna-as-a-polymer-formed-by-condensation-of-nucleotide-monomers",
+      "a1-2-nucleic-acids",
+      "c3-2-14-evolution-of-resistance-to-several-antibiotics-in-strains-of-pathogenic-bacteria",
+      "c3-2-defence-against-disease",
+      "d2-1-4-roles-of-mitosis-and-meiosis-in-eukaryotes",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw a labelled diagram to show the structure of a single nucleotide of RNA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how DNA profiling can be used to establish paternity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the reasons for variation in human height.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img 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\"/>\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   <span style=\"text-decoration:underline;\">\n    ribose\n   </span>\n   drawn as a pentagon and labelled;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    base\n   </span>\n   linked correctly (to C\n   <sub>\n    1\n   </sub>\n   ) of ribose and labelled;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    phosphate\n   </span>\n   linked correctly (to C\n   <sub>\n    5\n   </sub>\n   ) of ribose and labelled;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   DNA sample is collected from the child and its (potential) parents;\n  </li>\n  <li>\n   from saliva/mouth swab/blood/other body cells;\n  </li>\n  <li>\n   PCR used to amplify/produce more copies of the DNA;\n  </li>\n  <li>\n   short tandem repeats/genes consisting of a repeating sequence of bases repeats copied/used;\n  </li>\n  <li>\n   number of repeats varies between individuals;\n  </li>\n  <li>\n   unlikely that two individuals have same number of repeats for every gene included;\n  </li>\n  <li>\n   gel electrophoresis used to separate DNA fragments according to length/number of repeats;\n  </li>\n  <li>\n   gel electrophoresis generates a unique pattern of bands\n  </li>\n  <li>\n   DNA profile is the pattern of bands / diagram showing pattern of bands as in a DNA profile;\n  </li>\n  <li>\n   all bands in the child’s profile must be in one of the parents’ profiles / OWTTE;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   environment affects height;\n  </li>\n  <li>\n   nutrition/malnutrition affects growth rate / other example of environmental factor affecting height;\n  </li>\n  <li>\n   genes/alleles affect height / height is partly heritable;\n  </li>\n  <li>\n   polygenic / many genes influence height;\n  </li>\n  <li>\n   continuous variation;\n  </li>\n  <li>\n   normal/bell-shaped distribution of height;\n  </li>\n  <li>\n   some alleles (of these genes) increase height and some reduce it;\n  </li>\n  <li>\n   many possible combinations of alleles of these genes;\n  </li>\n  <li>\n   specific gene mutations/alleles cause dwarfism/extreme height;\n  </li>\n  <li>\n   meiosis generates variation (in height);\n  </li>\n  <li>\n   mutations generate variation (in height);\n  </li>\n  <li>\n   males tend to be/are on average taller than females;\n  </li>\n  <li>\n   loss of height during aging;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates were able to draw a nucleotide and label the subunits correctly. Weaker candidates did not know what a nucleotide was, so often drew a diagram of either a DNA or RNA polynucleotide.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Answers to this question were very variable, with some very well-informed accounts including the use of genes containing of tandem repeats and details of the collection of DNA samples from both parents and the child. There were also many accounts with errors of understanding. A common misconception is that paternity is established by finding the male whose profile has most similarities to that of the child. This does not prove that a man is the father of the child and instead the father's profile must contain all bands in the child's profile that do not occur in that of the mother.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This was a relatively high scoring question, with a mean mark of 2.4 (out of 7). Teachers expressed surprise in G2 forms that their students were being expected to make 7 valid points in their answer, but the wide-ranging mark scheme ensured that this was possible. There was some confusion between polygenic inheritance and multiple alleles. Weaker candidates tended to think that dominant alleles make us taller and recessive alleles cause shortness. Another fault in many answers was to focus on natural selection and evolution of height — if anything natural selection will reduce variation in human height rather than cause it.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-5-rna-as-a-polymer-formed-by-condensation-of-nucleotide-monomers",
+      "a1-2-nucleic-acids",
+      "d1-1-5-applications-of-polymerase-chain-reaction-and-gel-electrophoresis",
+      "d1-1-dna-replication",
+      "d3-2-14-continuous-variation-due-to-polygenic-inheritance-and/or-environmental-factors",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>An oval-shaped stem cell cluster is shown in the micrograph.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\">[Source: Sontag, S., Förster, M., Seré, K. and Zenke, M., 2017. [online] Available at: https://bio-protocol.org/e2419 [Accessed<br/>6 December 2019]. Source adapted.]</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the main characteristic of stem cells.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the maximum diameter of the stem cell cluster on the micrograph, showing your working and giving the units.</p>\n<p> </p>\n<p> </p>\n<p> </p>\n<p>..........</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> therapeutic role of stem cells.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss how the use of stem cells to treat hereditary diseases could affect the person who received the treatment <strong>and</strong> their progeny.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>undifferentiated/pluripotent/ability to divide/differentiate into any types of cells/differentiate along different pathways;</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>correct formula: 1.1cm = 500 μm, 2.7cm = length, <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>7</mn><mo>×</mo><mn>500</mn></mrow><mrow><mn>1</mn><mo>.</mo><mn>1</mn></mrow></mfrac><mo>=</mo><mi>Xμm</mi></math>;</li>\n<li>correct answer <span style=\"text-decoration:underline;\">with unit</span>: 1227μm;</li>\n</ol>\n<p><em>Allow answer in range of 1150 μm to 1350 μm</em>.<br/><br/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>treatment of Stargardt’s disease/leukemia/diabetes/heart disease/Parkinson’s disease;</p>\n<p><em>Any other verifiable condition</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>could improve quality/length of life of the treated person;</li>\n<li>disease could still be passed on to progeny if defective gene/allele in gametes is not replaced/changed;</li>\n</ol>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In a. most were able to say the stem cells were undifferentiated. Many put ‘unspecialised’ instead, which was not credited. There were several, justified G2 comments about the size of the micrograph, which made it difficult to measure the diameter accurately. However, this was generally very poorly answered, with over half failing to get the mark for either the correct answer or the correct calculation. In 1d the better candidates stated that the person could now live a normal life, but as it was not in the genome the progeny could still be affected. The word ‘progeny’ was commented on by several teachers, who pointed out that ‘children’, or ‘offspring’ would have been clearer for those working in an additional language.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a2-2-2-microscopy-skills",
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-6-eukaryote-cell-structure",
+      "a2-2-cell-structure",
+      "b2-3-2-properties-of-stem-cells",
+      "b2-3-cell-specialization",
+      "d2-1-8-identification-of-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>Methane can be the product of anaerobic respiration in some organisms.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe anaerobic respiration in humans and in yeast.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Distinguish between the thermal properties of water and methane.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the role of methane in climate change.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>(in both) anaerobic respiration gives a small amount of ATP/2 ATP/energy from glucose;</li>\n<li>anaerobic respiration occurs when there is no oxygen;</li>\n<li>anaerobic respiration in <span style=\"text-decoration:underline;\">yeast</span> produces ethanol and carbon dioxide/alcoholic fermentation;</li>\n<li>anaerobic respiration in <span style=\"text-decoration:underline;\">humans</span> (in muscle) produces lactate/lactic acid/lactic acid fermentation;</li>\n<li>both undergo glycolysis;</li>\n</ol>\n<p><em>Do not accept mpd if CO<sub>2</sub> also included</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>water has higher boiling/melting point;</li>\n<li>water has a higher specific heat capacity;</li>\n<li>water has a higher latent heat of vaporization;</li>\n<li>differences due to water having many H-bonds/polarity between the molecules while methane has no H-bonds/polarity;</li>\n</ol>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>methane is a greenhouse gas<br/><em><strong>OR</strong></em><br/>methane causes an increase in temperature of the atmosphere;</li>\n<li>methane is one of the most powerful greenhouse gases / more powerful than CO<sub>2</sub>;</li>\n<li>methane has a relatively short lifespan compared to CO<sub>2</sub>/decomposes to CO<sub>2</sub>;</li>\n</ol>\n<p><em>Other verifiable sources</em>.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In 3a. the top candidates scored all three marks with ease, but many, especially in Spanish scored zero. A common mistake was to say that humans produce lactic acid and CO<sub>2</sub>. In bi, many were confused by the term ‘thermal properties’, but most were able to gain at least one point for comparing their boiling/freezing temperatures, specific heat capacities and latent heat of fusion. The best candidates also explained the differences in terms of hydrogen bonds between the water molecules. In bii, few got past stating that methane is a greenhouse gas/causes an increase in temperature of the atmosphere. The better candidates stated that it was a powerful greenhouse gas, but it had a relatively short life span compared to CO<sub>2</sub>. A surprising number thought that methane’s main danger was that it destroyed the ozone layer.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-2-10-anaerobic-cell-respiration-in-yeast-and-its-use-in-brewing-and-baking",
+      "c1-2-5-differences-between-anaerobic-and-aerobic-cell-respiration-in-humans",
+      "c1-2-cell-respiration",
+      "c4-1-15-use-of-the-chi-squared-test-for-association-between-two-species",
+      "c4-1-populations-and-communities",
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>Enzyme activity is affected by temperature and pH.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the decrease in activity of the enzyme on either side of the optimum temperature.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>In biotechnology, enzymes are used to transfer genes to bacteria. Outline how <strong>two</strong> specific enzymes are used for the transfer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>as temperature rises/is higher (than optimal temperature), the enzyme is denatured;</li>\n<li>as the temperature drops the enzyme molecules have less kinetic energy<br/><em><strong>OR</strong></em><br/>fewer successful collisions;</li>\n</ol>\n<p><em>OWTTE</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>restriction enzymes/(restriction) endonucleases cut the gene and the bacterial/plasmid/vector DNA in the same/specific restriction sites<br/><em><strong>OR</strong></em><br/>(restriction) endonucleases work by targeting a specific sequence of base pairs in DNA causing both strands of the DNA to break apart;</li>\n<li>(DNA) ligase attaches/inserts the gene to the bacterial/plasmid/vector DNA<br/><em><strong>OR</strong></em><br/>(DNA) ligase joins the vector and gene by fusing their sugar-phosphate backbones together (with a covalent phosphodiester bond);</li>\n<li>correct reference to reverse transcriptase;</li>\n</ol>\n<p><em>Accept correct mention of reverse transcriptase</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>In a. many incorrectly stated that the enzyme was denatured either side of the optimum. Denaturation was reasonably well known, but the explanation for increased activity with rising temperature was not. Surprisingly some candidates missed the obvious references to temperature and wrote about pH instead. Knowledge of the enzymes involved in gene transfer was very patchy, with over a quarter of candidates leaving it blank. This was the worst scoring question on the paper.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism",
+      "d3-3-3-regulation-of-blood-glucose-as-an-example-of-the-role-of-hormones-in-homeostasis",
+      "d3-3-4-physiological-changes-that-form-the-basis-of-type-1-and-type-2-diabetes",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p>People with the inherited disease hemophilia have a deficiency in one of the proteins that act as clotting factors in blood.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how a protein is made in a cell by the process of translation.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A family has a history of hemophilia that is caused by a sex-linked recessive allele. A woman from this family is a carrier and marries a man who does not have the allele. Showing your working, determine the probability of their children having the disease.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how blood clotting occurs and the consequence for a person who has hemophilia.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>translation occurs on ribosomes when proteins/polypeptides are synthesized;</li>\n<li>amino acid sequence of a protein is determined by the mRNA;</li>\n<li>mRNA is determined by the order of bases of DNA/order of bases sequence in a gene;</li>\n<li>codons (of 3 bases) on mRNA correspond to one amino acid in a polypeptide;</li>\n<li>codons are on mRNA and anticodons on tRNA;</li>\n<li>mRNA binds to ribosome/(during initiation) small ribosomal subunit binds to the start of the mRNA sequence;</li>\n<li>tRNA transfers an amino acid to large ribosomal subunit/to the ribosome;</li>\n<li>reference to start or stop codon;</li>\n<li>tRNA moves to the next mRNA codon to continue the process, creating an amino acid chain;</li>\n<li>peptide bond formed between amino acids</li>\n<li>translation/order of amino acids depends on complementary base pairing between codons and anticodons;</li>\n</ol>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>alleles clearly labelled for both parents (in a Punnett square or other format);</li>\n<li>correct genotypes for all four possibilities for children;<br/> <img src=\"data:image/png;base64,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\"/>\n</li>\n<li>phenotypes of the children: the sons would have a 50 % chance of having hemophilia and the daughters would have 0 % chance of having hemophilia/50 % chance of being a carrier;</li>\n</ol>\n<p><em>Sex needs to be mentioned for mpc but info can be taken from the Punnett square</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>       Clotting process</em>:</p>\n<ol style=\"list-style-type:lower-alpha;\">\n<li>blood clotting seals cuts in the skin;</li>\n<li>clotting factors are released (from platelets);</li>\n<li>thrombin is activated;</li>\n<li>a cascade reaction occurs (with thrombin);</li>\n<li>(thrombin causes) fibrinogen is converted to fibrin;</li>\n<li>fibrin forms a clot/blocks the cut/prevents blood from being lost;<br/><em>Consequences of hemophilia</em>:</li>\n<li>if a person does not have enough clotting factors/hemophilia, the clot will not form;</li>\n<li>pathogens can enter the body more easily;</li>\n<li>(in hemophiliacs) blood will be lost from a cut which affects blood pressure/bleeding to death;</li>\n<li>loss of blood affects amount of hemoglobin/O<sub>2</sub> carried around the body;</li>\n<li>reference to lifestyle / menstrual/birth problems</li>\n</ol>\n<p><em>e.g. surgery, contact sports</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well prepared candidates were able to clearly explain the production of a protein by translation. Weak candidates usually scored a few points. Many started with a very detailed description of transcription, which was not necessary and put them in danger of losing the quality mark.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A standard sex -linked genetics question. It was expected that an indication that half of the boys would suffer from haemophilia, not just a ‘25 % possibility’.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The formation of a clot by the final formation of fibrin was reasonably well known, although many implied that the thrombin directly converted the fibrinogen and did not mention the cascade of reactions. In the consequences for haemophiliacs the fact that the clot would not form and they risked bleeding to death and were more susceptible to infections were well known. There were some G2 comments that 7 marks seemed difficult to attain, this did not seem to be the case with an average of 4.1 marks for the question.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-2-18-adaptations-of-phloem-sieve-tubes-and-companion-cells-for-translocation-of-sap",
+      "b3-2-transport",
+      "c3-2-3-sealing-of-cuts-in-skin-by-blood-clotting",
+      "c3-2-defence-against-disease",
+      "d1-2-5-translation-as-the-synthesis-of-polypeptides-from-mrna",
+      "d1-2-protein-synthesis",
+      "d3-2-11-sex-determination-in-humans-and-inheritance-of-genes-on-sex-chromosomes",
+      "d3-2-12-haemophilia-as-an-example-of-a-sex-linked-genetic-disorder",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.7",
+    "Question": "<div class=\"specification\">\n<p>The growing human population has an increasing demand for energy derived from crop plants. At the same time, increasing droughts that are part of climate change make it difficult to grow crops in some parts of the world.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline energy flow through a community in a natural ecosystem.</p>\n<div class=\"marks\">[5]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain how natural selection can cause traits such as drought resistance to develop in wild plants.</p>\n<div class=\"marks\">[7]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest possible benefits <strong>and</strong> risks of using genetic modification to develop varieties of crop plant with traits such as drought resistance.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>communities are made up of populations of different species;</li>\n<li>plants receive energy from the sun/light;</li>\n<li>convert it to chemical energy through <span style=\"text-decoration:underline;\">photosynthesis</span>;</li>\n<li>chemical energy is stored in organic/C-compounds;</li>\n<li>the energy is passed to other organisms through feeding / reference to food chain;</li>\n<li>respiration (of plants and animals) converts the chemical energy (of C-compounds) to other useful forms of energy;</li>\n<li>eventually the chemical energy is lost as heat energy;</li>\n<li>energy is non-recyclable/lost from a community/ecosystem;</li>\n<li>energy losses between trophic levels limit food chains/mass of top trophic levels/only about 10 % of energy is transferred;</li>\n</ol>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<ol style=\"list-style-type:lower-alpha;\">\n<li>(natural selection occurs if) there is variation in degree of drought resistance among members of a population/same species;</li>\n<li>variation is caused by mutations (when changes occur in the DNA/nucleic bases/chromosomes);</li>\n<li>variation during meiosis occurs (with separation of chromosomes);</li>\n<li>variation occurs during sexual reproduction (as different alleles combine);</li>\n<li>some variations make some plants more drought-resistant;</li>\n<li>example of variations: deeper roots/more storage tissue for water/thicker cuticles/less opening of stomata/other verifiable variations;</li>\n<li>these variations let some survive and reproduce better/have more offspring<br/><em><strong>OR</strong></em><br/>(these variations) confer selective advantage;</li>\n<li>these variations/characteristics are passed onto offspring which survive better;</li>\n<li>natural selection increases the frequency of these characteristics;</li>\n<li>eventually leads to changes/evolution in the species / more drought-resistant plants;</li>\n</ol>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>      Benefits</em>:</p>\n<ol style=\"list-style-type:lower-alpha;\">\n<li>increase crop growth/food productivity;</li>\n<li>with limited water/ less water is used;</li>\n<li>increase amount of land available for food production in dry areas;<br/><em>Risks</em>:</li>\n<li>these plants may out-compete other species in the community/may cause extinction of some species/affect the food chains in the community;</li>\n<li>the modified gene/recombinant DNA may pass to other organisms;</li>\n<li>more grain requires more nutrients from the soil so its quality may diminish/monoculture issues;</li>\n<li>GMO may have health effects in consumers / OWTTE;</li>\n</ol>\n<p><em>Must include at least one benefit and one risk for <strong>[3 max]</strong>.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well attempted with an average score of 3. The question was about energy, but weaker students also tended to include biomass. Fortunately, very few students failed to grasp the idea that the energy is lost from the ecosystem and not recycled.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The inclusion of ‘drought resistance’ in the stem of the question should have been a suggestion to include it, but many answers were far to general with a vague attempt to explain Natural Selection in general without explaining how the initial variation in the population came about. There were quite a few ‘Lamarckian’ answers with claims of individuals adapting to cope with the change. The average for this question was only 2.8, putting it as one of the most poorly answered.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, drought resistance was in the stem, but not always used. There were many general ‘rants’ about GMO crops without setting out the facts.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a4-1-7-roles-of-reproductive-isolation-and-differential-selection-in-speciation",
+      "a4-1-evolution-and-speciation",
+      "c4-2-12-reductions-in-energy-availability-at-each-successive-stage-in-food-chains-due-to-large-energy-losses-between-trophic-levels",
+      "c4-2-3-flow-of-chemical-energy-through-food-chains",
+      "c4-2-transfers-of-energy-and-matter",
+      "d4-1-1-natural-selection-as-the-mechanism-driving-evolutionary-change",
+      "d4-1-2-roles-of-mutation-and-sexual-reproduction-in-generating-the-variation-on-which-natural-selection-acts",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    four\n   </strong>\n   different processes,\n   <strong>\n    with examples\n   </strong>\n   , that allow substances to pass through the plasma membrane.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Humans need to balance water and solute concentrations and also excrete nitrogenous wastes. Explain how the different parts of the kidney carry out these processes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe adaptations in mammals living in desert ecosystems to maintain osmolarity in their bodies.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   simple/passive diffusion\n   <span style=\"text-decoration:underline;\">\n    down a concentration gradient\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    from high concentration to low concentration\n   </span>\n   (without the use of channels/proteins); (\n   <em>\n    e.g., CO\n    <sub>\n     2\n    </sub>\n    / O\n    <sub>\n     2\n    </sub>\n    / H\n    <sub>\n     2\n    </sub>\n    O / steroid hormones\n   </em>\n   )\n  </li>\n  <li>\n   osmosis is the diffusion of\n   <span style=\"text-decoration:underline;\">\n    water\n   </span>\n   from an area of high water potential / low solute concentration to low water potential / high solute concentration;\n  </li>\n  <li>\n   facilitated diffusion is passive transport/diffusion through a protein channel; (\n   <em>\n    e.g., glucose\n   </em>\n   )\n  </li>\n  <li>\n   active transport requires energy/ATP to move the molecules through a protein channel (\n   <em>\n    e.g., Na-K pump / sodium potassium pump\n   </em>\n   )\n   <span style=\"text-decoration:underline;\">\n    against a concentration gradient\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    from low solute concentration to high concentration\n   </span>\n   ;\n  </li>\n  <li>\n   endocytosis is the infolding of membranes to form a vesicle and take in a large molecule; (\n   <em>\n    e.g., macrophages engulfing pathogens\n   </em>\n   )\n  </li>\n  <li>\n   exocytosis is the fusion of vesicles with membranes to release a large molecule; (\n   <em>\n    e.g. neurotransmitters\n   </em>\n   )\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   humans are osmoregulators/maintain the internal concentrations of the blood/osmolarity within specific/ limited range / OWTTE;\n  </li>\n  <li>\n   glomerulus / Bowman’s capsule (in the nephron) carry out ultrafiltration;\n  </li>\n  <li>\n   proximal convoluted tubule selectively reabsorbs glucose/solute/salts/amino acids;\n  </li>\n  <li>\n   loop of Henle maintains hypertonic conditions in the medulla/absorbs salts (by active transport);\n  </li>\n  <li>\n   loop of Henle reabsorbs water (by osmosis);\n  </li>\n  <li>\n   (osmoreceptors in the hypothalamus) cause production of ADH if the blood is too concentrated / person is dehydrated / OWTTE;\n  </li>\n  <li>\n   ADH causes more uptake of water/increases permeability in the collecting duct;\n  </li>\n  <li>\n   resulting in a more concentrated urine / lower volume of urine;\n  </li>\n  <li>\n   excess amino acids are broken down producing nitrogenous waste / ammonia / urea as a result;\n  </li>\n  <li>\n   ammonia is toxic and is converted into non-toxic urea;\n  </li>\n  <li>\n   urea is eliminated in the urine;\n  </li>\n </ol>\n <p>\n  <em>\n   Marks can be awarded to clearly annotated diagrams\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   behavioural adaptations to avoid over-heating / hiding in burrows/out of sun during hot period of day / active at cooler times of the day/nocturnal animals / panting;\n  </li>\n  <li>\n   adaptations for heat exchange such as large ears;\n  </li>\n  <li>\n   may have longer loop of Henle (to reabsorb more water);\n  </li>\n  <li>\n   may produce more ADH (according to osmotic concentrations of the blood) / produce concentrated urine / lower volume of urine;\n  </li>\n  <li>\n   camel humps that store fat that releases (metabolic) water when broken down;\n  </li>\n  <li>\n   reduced sweat;\n  </li>\n  <li>\n   any other valid adaptation; (e.g., light coloured coats)\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This question in section B was the second most commonly selected, but in performance, tended to do more poorly than the other questions.\n </p>\n <p>\n  Most candidates could list the processes that allow passage across the plasma membrane, but many answers lacked some of the necessary elements, most commonly leaving out examples (e.g. an example for gradient).\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Generally, there were good accounts of the functioning of the nephron, but some elements were missing such as which substances are reabsorbed in the proximal tubule and which are absorbed in the loop of Henle, although permeability was mentioned. Discussion about the role of ADH was well done. The discussion of the management of nitrogenous wastes was least well done in this question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Long loops of Henle was the most common desert adaptation discussed. There were common misconceptions about camels’ humps being water storage organs rather than the production of metabolic water.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b2-1-3-simple-diffusion-across-membranes",
+      "b2-1-4-integral-and-peripheral-proteins-in-membranes",
+      "b2-1-5-movement-of-water-molecules-across-membranes-by-osmosis-and-the-role-of-aquaporins",
+      "b2-1-6-channel-proteins-for-facilitated-diffusion",
+      "b2-1-7-pump-proteins-for-active-transport",
+      "b2-1-8-selectivity-in-membrane-permeability",
+      "b2-1-membranes-and-membrane-transport",
+      "b4-1-8-adaptations-to-life-in-hot-deserts-and-tropical-rainforest",
+      "b4-1-adaptation-to-environment",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the relationship between BCH and brain mass of shrews.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how the shrew labelled P differs from the normal relationship between BCH and brain mass.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason that researchers use BCH rather than brain mass to indicate brain size.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the season when shrew brain mass is greatest.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the results for winter and spring.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (g)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the activity and season that occupied the greatest mean percentage of observation time.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (h)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for the difference in the time observed eating and drinking.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the percentage of containers that contained food.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (j)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline a reason that the path length was standardized.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (k)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the results for trials 2 and 9.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (l)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   With reference to all the data, suggest a reason for the difference in standardized mean path length for summer and winter.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  positive correlation/the greater the BCH the greater the brain mass;\n </p>\n <p>\n  <em>\n   No mark for ‘positive relationship’ or for directly proportional\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  positive correlation/the greater the BCH the greater the brain mass;\n </p>\n <p>\n  <em>\n   No mark for ‘positive relationship’ or for directly proportional\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   high BCH but brain mass is low/lower than expected/lower than others with similar BCH;\n  </li>\n  <li>\n   (fairly) low brain mass but BCH is high/higher than expected/higher than others with similar brain mass;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  easier to measure/doesn’t require dissection/non-invasive / shrew not harmed/killed/more ethical;\n </p>\n <p>\n  <em>\n   The mark can be awarded for one of these reasons even if it is not the first reason given in the answer\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Summer;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Compare part of answer = similarity\n  </em>\n  :\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   both have low BCH (compared with summer);\n   <br/>\n   <br/>\n   <em>\n    Contrast part of answer\n   </em>\n   :\n   <br/>\n   <br/>\n  </li>\n  <li>\n   greater body mass in spring than winter;\n   <em>\n    <strong>\n     <br/>\n     OR\n    </strong>\n   </em>\n   <br/>\n   overall/mean/average BCH higher in spring than in winter;\n   <em>\n    <strong>\n     <br/>\n     OR\n    </strong>\n   </em>\n   <br/>\n   more variation\n   <span style=\"text-decoration:underline;\">\n    in body mass\n   </span>\n   in spring than winter;\n  </li>\n </ol>\n <p>\n  <em>\n   For the second alternative in mpb, the answer must not state simply that BCH is higher in spring as there is much overlap. Do not accept quoted figures without the similarity or difference being stated.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"text-decoration:underline;\">\n   rest\n  </span>\n  ing in\n  <span style=\"text-decoration:underline;\">\n   spring\n  </span>\n  ;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (h)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   more food/energy eaten/required in winter/cold;\n  </li>\n  <li>\n   food needed to maintain temperature/stay warm/generate heat;\n  </li>\n  <li>\n   more loss of body heat in cold conditions;\n  </li>\n  <li>\n   more energy used hunting for food;\n  </li>\n  <li>\n   food less available in winter/harder to find enough food;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  4(%);\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (j)\n </div><div class=\"card-body\">\n <p>\n  compensates for the different distances between entrances and food/OWTTE;\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  to enable (fair/valid) comparison/OWTTE;\n </p>\n <p>\n  <em>\n   Do not accept unspecific answers such as ‘to be consistent’.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (k)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Similarity between 2 and 9\n  </em>\n  :\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   winter path length longer (than spring and summer) in both (trials 2 and 9/from entrances B and C);\n   <br/>\n   <em>\n    <br/>\n    Contrast between 2 and 9\n   </em>\n   :\n   <br/>\n   <br/>\n  </li>\n  <li>\n   path length longer in trial 2 than 9/from entrance B than entrance C (in all seasons);\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   error/bar/standard deviation/variation in data greater in trial 2 than 9/from entrance B than entrance C (in all seasons);\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (l)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   in winter shrews have smaller brains/smaller BCH / converse for summer;\n  </li>\n  <li>\n   lower/poorer memory/thinking/cognitive skills/learning/intelligence/senses/sense of smell/ability to find food in winter/converse for summer;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidate described the relationship shown on the graph as a positive correlation. Some referred to it incorrectly as directly proportional, but that would be revealed by data points along a straight line on the graph. The term 'positive relationship' is vague and should be discouraged.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidate described the relationship shown on the graph as a positive correlation. Some referred to it incorrectly as directly proportional, but that would be revealed by data points along a straight line on the graph. The term 'positive relationship' is vague and should be discouraged.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Almost all candidates understood what made P an outlier, but not all could express lucidly how it deviated from the trend.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Many candidates came up with unlikely reasons for using BCH as a measure, rather than that it was easier to measure and less harmful to the shrew. A common misconception was that brain mass was an inaccurate measure of brain size because brain density might be variable. It was surprising that so many candidates thought the height of the brain case would give a better measure of brain size, especially as the scatter graph showed that BCH is not directly proportional to brain mass.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  90\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % of candidates correctly identified summer as the season when brain mass was greatest.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  This was a 'compare and contrast' question, so similarities and differences were expected in the answer. There were plenty of choices for differences between winter and spring but only one acceptable similarity — that BCH was lower in both winter and spring than in summer. Some answers failed to discriminate between BCH and brain mass — the trends were not the same so these terms were not interchangeable. Some candidates gave a comparison and then repeated it as the converse statement — for example 'sample mass is higher in spring than winter and is lower in winter than spring'. Clearly this is not necessary.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <p>\n  80\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % of candidates identified the season and activity correctly.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (h)\n </div><div class=\"card-body\">\n <p>\n  This was generally well answered, with candidates mostly focussing on food being harder to find in winter and more energy being needed to maintain body heat.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Percentage calculations often cause widespread difficulties but most candidates found this one easy. The only common mistake was to divide 4 by a hundred, and then forget to multiply by a hundred to turn the proportion into a percentage.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (j)\n </div><div class=\"card-body\">\n <p>\n  This was another question that tested candidates' ability to express a relatively simple idea clearly, rather than having to understand a more complicated idea. The key part of the answer was that standardizing path lengths allowed results to be compared to find the effect of the intended independent variable, by cancelling out another variable.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (k)\n </div><div class=\"card-body\">\n <p>\n  As in part (e), a similarity and a difference were required. When analysing data, candidates should try to keep in mind whether aspects are of interest and lead to conclusions significant conclusions or not. Here the two interesting findings were that the path length was highest in winter in both trials and that the shrews' performance between trial 2 and 90 had improved in all seasons, so they found the food with a shorter path length.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (l)\n </div><div class=\"card-body\">\n <p>\n  The instruction to refer to all the data does not indicate that conclusions from each graph should be restated, but rather than the research findings should be combined to produce a hypothesis. The expected reasoning here was that the lower BCH of shrews in winter showed brain mass was on average lower, so cognitive ability was reduced and shrews were slower to find food.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c3-1-4-the-brain-as-a-central-information-integration-organ",
+      "c3-1-integration-of-body-systems"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the protein labelled in the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how nucleosomes affect the transcription of DNA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify X, the enzyme which copies a DNA sequence.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify Y, non-coding DNA at the start of a gene.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the role of lactose in the expression of the gene for lactase production.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   reason that identical twins may show different methylation patterns as they grow older.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  histone;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   (nucleosomes can) promote AND inhibit transcription of genes/expression of genes;\n  </li>\n  <li>\n   (nucleosomes can) prevent transcription by (tight) condensation/supercoiling/packing of DNA;\n  </li>\n  <li>\n   (nucleosomes can) allow/prevent binding of RNA polymerase/transcription factors;\n  </li>\n  <li>\n   tagging/acetylation/methylation of nucleosomes/histones can promote/inhibit transcription;\n  </li>\n  <li>\n   movement of histones/nucleosomes (along DNA) can affect which genes are transcribed;\n  </li>\n </ol>\n <p>\n  <em>\n   ‘Affects transcription’ is in the question — no mark.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"text-decoration:underline;\">\n   RNA polymerase\n  </span>\n  ;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  promoter;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   lactose binds to\n   <span style=\"text-decoration:underline;\">\n    repressor\n   </span>\n   protein;\n  </li>\n  <li>\n   repressor protein (with lactose bound) cannot block/bind to the\n   <span style=\"text-decoration:underline;\">\n    promoter\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    Y\n   </span>\n   ;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    RNA polymerase\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    X\n   </span>\n   binds to the promoter/transcribes the gene;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    lactase\n   </span>\n   produced (if lactose present)/\n   <span style=\"text-decoration:underline;\">\n    lactase\n   </span>\n   production inhibited if lactose absent;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept the converse of mpa to mpd with lactose absent.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  (different) environment/illness/disease/diet;\n </p>\n <p>\n  <em>\n   Not mutation\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Nearly all candidates know that the proteins in nucleosomes are histones.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Many candidates knew something of the role of nucleosomes in regulating DNA transcription. A wide range of answers was accepted for the single mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  About half of candidates knew that X must be RNA polymerase. Some candidates thought that it was DNA polymerase, perhaps because the question referred to copying a DNA sequence. This answer was not accepted as the diagram did not show replication.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  Fewer candidates knew that Y must be the promoter. This could be deduced from the diagram which showed that Y is the site to which RNA polymerase first binds. Other incorrect suggestions were primer, intron, start codon and telomere.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Many candidates realised from the diagram that lactose binds to the repressor. Fewer could explain convincingly that this removes the repressor from the promoter, so RNA polymerase can bind and transcribe the gene for lactase. Many candidates earned a mark by giving the last idea on the mark scheme, which is that presence of lactose results in lactase production. It should be emphasized that the lac operon does not need to be taught to future students — the expectation here was that answers would be based on general understanding of transcription and on the information provided in the question. These was no expectation that candidates would already be familiar with the lac operon.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Most candidates knew that differences in environmental factors can cause differences in methylation pattern.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-13-structure-of-a-nucleosome",
+      "a1-2-nucleic-acids",
+      "c1-1-14-allosteric-sites-and-non-competitive-inhibition",
+      "c1-1-enzymes-and-metabolism",
+      "d1-1-3-role-of-helicase-and-dna-polymerase-in-dna-replication",
+      "d1-1-dna-replication",
+      "d1-2-14-non-coding-sequences-in-dna-do-not-code-for-polypeptides",
+      "d1-2-protein-synthesis",
+      "d2-2-6-methylation-of-the-promoter-and-histones-in-nucleosomes-as-examples-of-epigenetic-tags",
+      "d2-2-7-epigenetic-inheritance-through-heritable-changes-to-gene-expression",
+      "d2-2-gene-expression-[hl-only]"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify structure X.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify structure Y.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the region of the kidney in which the loop of Henle is situated.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the role of the hormone ADH in osmoregulation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    two\n   </strong>\n   adaptations for water conservation in leaves of desert plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"text-decoration:underline;\">\n   proximal\n  </span>\n  convoluted tubule/PCT;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"text-decoration:underline;\">\n   proximal\n  </span>\n  convoluted tubule/PCT;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  glomerulus/Bowman’s capsule;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  medulla;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   ADH secreted if blood is hypertonic/solute concentration too high/water content too low/dehydrated;\n  </li>\n  <li>\n   aquaporins open/more aquaporins in (plasma membranes of cells in DCT/collecting duct) with ADH;\n  </li>\n  <li>\n   DCT/collecting duct becomes more permeable to water/reabsorbs more water (from filtrate);\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Mark the first two answers only\n  </em>\n  <br/>\n  (thick) wax layer/cuticle;\n  <br/>\n  hairs on leaves/rolled leaves;\n  <br/>\n  sunken stomata/stomata in pits/stomata opening at night/CAM physiology;\n  <br/>\n  (leaves reduced to) spines/needles/no/few/small leaves/low surface area (to volume ratio) of leaves;\n  <br/>\n  thick stems/water storage tissue/vertical stems (to avoid most intense sunlight);\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  60null% of candidates identified the proximal convoluted tubule.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  60null% of candidates identified the proximal convoluted tubule.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  80% of candidates identified the structure as the glomerulus or Bowman's capsule.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  70\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % of candidates knew that the loop of Henle is in the medulla.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This was generally well answered. A few candidates thought that ADH could both increase and decrease water reabsorption in the nephron. The commonest omission was hypertonic conditions being the signal that results in ADH secretion.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  A wide range of leaf adaptations were suggested and most candidates gave one or two that were accepted. Root adaptations were not accepted as the question asked for features of leaves.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b2-3-7-adaptations-to-increase-surface-area-to-volume-ratios-of-cells",
+      "b2-3-cell-specialization",
+      "d3-3-10-osmoregulation-by-water-reabsorption-in-the-collecting-ducts",
+      "d3-3-8-role-of-the-glomerulus-bowmans-capsule-and-proximal-convoluted-tubule-in-excretion",
+      "d3-3-9-role-of-the-loop-of-henle",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the processes occurring during interphase in the cell cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe what occurs in a neuron when an action potential is propagated along the axon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how cells in the bloodstream cause a specific immune response.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   growth/increase in cell size;\n  </li>\n  <li>\n   division of mitochondria/chloroplasts/production of more organelles/number of organelles doubled;\n  </li>\n  <li>\n   replication of DNA/amount of DNA is doubled;\n  </li>\n  <li>\n   transcription of genes/production of mRNA;\n  </li>\n  <li>\n   protein synthesis;\n  </li>\n  <li>\n   cell respiration/production of ATP;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow organelles ‘replicated’ for mpb.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   growth/increase in cell size;\n  </li>\n  <li>\n   division of mitochondria/chloroplasts/production of more organelles/number of organelles doubled;\n  </li>\n  <li>\n   replication of DNA/amount of DNA is doubled;\n  </li>\n  <li>\n   transcription of genes/production of mRNA;\n  </li>\n  <li>\n   protein synthesis;\n  </li>\n  <li>\n   cell respiration/production of ATP;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow organelles ‘replicated’ for mpb.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   sodium\n   <span style=\"text-decoration:underline;\">\n    ions\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    Na\n    <sup>\n     +\n    </sup>\n   </span>\n   enter/diffuse in;\n  </li>\n  <li>\n   depolarization/membrane potential/voltage changes from negative to positive;\n  </li>\n  <li>\n   potassium channels open AND potassium ions/K+ exit/diffuse out;\n  </li>\n  <li>\n   repolarization/membrane potential/voltage changes back from positive to negative;\n  </li>\n  <li>\n   local current due to diffusion of sodium ions along the neuron;\n  </li>\n  <li>\n   (local currents) cause next sodium channels to open/next part of axon to depolarize;\n  </li>\n  <li>\n   opening of sodium channels triggered when threshold potential/-50mV reached;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award mpa for sodium being pumped in (rather than diffusing).\n  </em>\n  <br/>\n  <em>\n   Allow mpc with ECF if direction of both sodium and potassium is wrong, or if both movements are described as pumping.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   (specific immune response is) production of antibodies in response to a particular pathogen;\n  </li>\n  <li>\n   antibody is specific to/binds to a specific\n   <span style=\"text-decoration:underline;\">\n    antigen\n   </span>\n   ;\n  </li>\n  <li>\n   macrophages/phagocytes engulf/present antigens from pathogens/viruses/bacteria;\n  </li>\n  <li>\n   T lymphocytes activated by antigens/antigen presentation/antigens presented by macrophage;\n  </li>\n  <li>\n   (activated) T lymphocytes activate B lymphocytes;\n  </li>\n  <li>\n   only B lymphocytes that produce antibodies against the antigen/pathogen are activated;\n  </li>\n  <li>\n   (activated) B lymphocytes clone/divide by mitosis to form\n   <span style=\"text-decoration:underline;\">\n    plasma cells\n   </span>\n   ;\n  </li>\n  <li>\n   plasma cells then secrete (large quantity) of an antibody/secrete antibodies of same type;\n  </li>\n  <li>\n   some B lymphocytes/plasma cells form memory cells;\n  </li>\n  <li>\n   memory cells give long-lasting immunity/faster response to a disease/pathogen;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept B and T cells instead of B and T lymphocytes.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates included growth and DNA replication in their answers. Other processes such as protein synthesis and cell respiration were mentioned less often.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates included growth and DNA replication in their answers. Other processes such as protein synthesis and cell respiration were mentioned less often.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Answers were very varied and some were excellent. A few missed the point and described synaptic transmission. In some weaker answers there was confusion about the role of the sodium-potassium pump and what makes sodium and potassium ions move across the membrane during depolarisation and repolarisation. The mechanism of propagation by the formation of local currents was sometime attempted but rarely expressed clearly.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Here again there was a wide range of answers. The best focussed throughout on how specificity in immune responses is achieved. The weakest were very muddled, with confusion between antigens and pathogens and between antigens and antibodies. Nearly all candidates mentioned memory cells and their role in long term immunity.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c2-2-8-depolarization-and-repolarization-during-action-potentials",
+      "c2-2-9-propagation-of-an-action-potential-along-a-nerve-fibre/axon-as-a-result-of-local-currents",
+      "c2-2-neural-signalling",
+      "c3-2-6-lymphocytes-as-cells-in-the-adaptive-immune-system-that-cooperate-to-produce-antibodies",
+      "c3-2-defence-against-disease",
+      "d2-1-13-phases-of-the-cell-cycle",
+      "d2-1-14-cell-growth-during-interphase",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how ATP is produced by Photosystem II in the light-dependent stage of photosynthesis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how carbohydrates are transported from plant leaves.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   light (energy) absorbed by pigments/chlorophyll/photosystems;\n  </li>\n  <li>\n   excited electrons passed to electron carriers/electron transport chain;\n  </li>\n  <li>\n   protons/hydrogen ions pumped into thylakoid (space);\n  </li>\n  <li>\n   proton gradient/high proton concentration generated;\n  </li>\n  <li>\n   protons pass via ATP synthase to the stroma;\n  </li>\n  <li>\n   ATP synthase phosphorylates ADP/ATP synthase converts ADP to ATP;\n  </li>\n  <li>\n   photophosphorylation/chemiosmosis;\n  </li>\n  <li>\n   ATP synthase/electron carriers/proton pumps/photosystems/pigment are in the thylakoid membrane;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   translocation/movement by mass flow;\n  </li>\n  <li>\n   in\n   <span style=\"text-decoration:underline;\">\n    phloem sieve tubes\n   </span>\n   ;\n  </li>\n  <li>\n   sieve plates/pores in end walls/lack of organelles allows flow (of sap);\n  </li>\n  <li>\n   carbohydrates (principally) transported as sucrose;\n  </li>\n  <li>\n   (sucrose/glucose/sugar/carbohydrate) loaded (into phloem) by active transport;\n  </li>\n  <li>\n   loading/pumping in (of sugars) by companion cells;\n  </li>\n  <li>\n   high solute concentration generated (at the source);\n  </li>\n  <li>\n   water enters by osmosis (due to the high solute concentration);\n  </li>\n  <li>\n   hydrostatic pressure increased/high hydrostatic pressure generated;\n  </li>\n  <li>\n   pressure gradient causes flow (from source to sink);\n  </li>\n  <li>\n   leaves are a source because carbohydrates are made there;\n  </li>\n  <li>\n   transport to the sink where carbohydrates are used/stored;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  There was evidence that many candidates had prepared carefully for this topic and were fully familiar with the sequence of events in the light-dependent reactions that result in ATP production. In some of the weaker answers the protons were moving in the wrong direction and some candidates were confused about the differences in structure between chloroplasts and mitochondria and therefore the nature of the proton gradient.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This was answered well by many candidates, with correct use of terminology. Some answers gave considerable detail about methods used to load assimilate into phloem. The specific structures used for transport (sieve tubes) were not always named and their adaptations were rarely included. Many candidates stated that phloem transport is bidirectional and that xylem transport is not — a hypothesis that has been falsified! Transport in a single phloem sieve tube can only be in one direction at one time, though the direction can be reversed if the hydrostatic pressure gradient switches, for example when a growing leaf changes from being a sink to a source. Xylem transport can also be bidirectional over time, as xylem sap sinks down to the roots of deciduous trees when leaves are lost in the fall and some plants allow xylem sap to sink to the roots every night when transpiration stops.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b3-2-18-adaptations-of-phloem-sieve-tubes-and-companion-cells-for-translocation-of-sap",
+      "b3-2-transport",
+      "c1-3-14-thylakoids-as-systems-for-performing-the-light-dependent-reactions-of-photosynthesis",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how adaptive radiation provides evidence for evolution.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe polyploidy and how it can lead to speciation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a newly discovered plant species would be classified and named.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   diversification/ different species produced from a common/shared ancestor;\n  </li>\n  <li>\n   homologous features have similarities of structure\n  </li>\n  <li>\n   despite different functions;\n  </li>\n  <li>\n   (different) adaptation to different environments/different selective pressures;\n  </li>\n  <li>\n   pentadactyl limbs/Darwin’s finches/other example of adaptive radiation described correctly;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow any of the marking points with reference to a named example e.g. Darwin’s finches or pentadactyl limb.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   diversification/ different species produced from a common/shared ancestor;\n  </li>\n  <li>\n   homologous features have similarities of structure\n  </li>\n  <li>\n   despite different functions;\n  </li>\n  <li>\n   (different) adaptation to different environments/different selective pressures;\n  </li>\n  <li>\n   pentadactyl limbs/Darwin’s finches/other example of adaptive radiation described correctly;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow any of the marking points with reference to a named example e.g. Darwin’s finches or pentadactyl limb.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   polyploidy is having more than two (complete) sets of chromosomes/3n/4n/other specific example of polyploidy;\n  </li>\n  <li>\n   can be due to errors in meiosis/production of diploid gametes;\n  </li>\n  <li>\n   can be due to DNA replication without mitosis/cytokinesis;\n  </li>\n  <li>\n   polyploidy causes reproductive isolation;\n  </li>\n  <li>\n   diploids crossed with tetraploids produce infertile (triploid) offspring / triploid offspring are infertile;\n  </li>\n  <li>\n   tetraploids are therefore a new species/failure to interbreed/reproductive isolation leads to speciation;\n  </li>\n  <li>\n   (many) examples in the onion family/Allium/other valid example of speciation by polyploidy;\n  </li>\n  <li>\n   infertile interspecific hybrids can become fertile by becoming polyploid;\n  </li>\n </ol>\n <p>\n  <em>\n   Reject non-disjunction as a cause of polyploidy as it usually applies to a single bivalent.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Naming:\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   binomial nomenclature/(plant is) given a binomial/double name;\n  </li>\n  <li>\n   first name is the genus and second name is the species/genus initial uppercase and species lower case;\n  </li>\n  <li>\n   names (of plant species) are international/are universally understood/are published in journals;\n   <br/>\n   <br/>\n   Classification:\n   <br/>\n   <br/>\n  </li>\n  <li>\n   study the characteristics/structure/reproduction/chemical properties/DNA (of the plant);\n  </li>\n  <li>\n   put/classify (the plant) in a group/genus with other similar species;\n  </li>\n  <li>\n   natural classification corresponds with evolution/natural classification is based on many features;\n  </li>\n  <li>\n   analogous features/features due to convergent evolution should not be used;\n  </li>\n  <li>\n   hierarchy of groups/taxa (in traditional classification/3 or more taxa in correct sequence (kingdom-phylum-class);\n  </li>\n  <li>\n   two or more of bryophyta, filicinophyta, coniferophyta and angiospermophyta named;\n  </li>\n  <li>\n   a clade is a group of organisms evolved from a common ancestor;\n  </li>\n  <li>\n   base sequences/amino acid sequences used to group organisms into clades/deduce evolutionary relationships;\n  </li>\n  <li>\n   cladograms show the relationships between clades/likely evolutionary divergence of clades;\n  </li>\n  <li>\n   each branch point/node represents where species are formed via divergent evolution;\n  </li>\n  <li>\n   species are now classified into a sequence of clades (rather than a rigid hierarchy of taxa);\n  </li>\n </ol>\n <p>\n  <em>\n   For mpi, common names such as ‘mosses’ are acceptable\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Some candidates misread the question and wrote about radiation causing mutations. Other answers described how a species changes over time due to natural selection. A few answers gave a convincing account of how structures such as the pentadactyl limb give evidence for evolution because similarities of structure despite differences of function indicate common ancestry.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Some candidates misread the question and wrote about radiation causing mutations. Other answers described how a species changes over time due to natural selection. A few answers gave a convincing account of how structures such as the pentadactyl limb give evidence for evolution because similarities of structure despite differences of function indicate common ancestry.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  A minority of answers defined polyploidy correctly and then explained how it results in speciation through reproductive isolation. Weaker responses muddled up aneuploidy with polyploidy so claimed that non-disjunction of a pair of chromosomes causes polyploidy. The average score for this question was low, because it tended to be weaker candidates who were answering it, and also because it is a relatively difficult part of the program.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  A very wide range of ideas was credited with marks in this question. Most candidates knew that plants are either classified according to their observable traits or the base sequences of their DNA. Many answers also included the hierarchy of taxa used in traditional classification and traits of plant phyla. At least some features of binomial nomenclature were included in most answers. The best answers included changes to plant classification that have resulted from sequence analysis and cladistics.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity"
+    ],
+    "subtopics": [
+      "a3-2-1-need-for-classification-of-organisms",
+      "a3-2-9-classification-of-all-organisms-into-three-domains-using-evidence-from-rrna-base-sequences",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "a4-1-11-abrupt-speciation-in-plants-by-hybridization-and-polyploidy",
+      "a4-1-9-adaptive-radiation-as-a-source-of-biodiversity",
+      "a4-1-evolution-and-speciation"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the mean annual decline in insect biomass.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the results for Hymenoptera and Lepidoptera.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the number of Coleoptera species that would be expected to exist after one year from a starting number of 400\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n    </mo>\n   </math>\n   000 species, assuming the mean rate of decline.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify in how many of the diets sucrose was the greatest mass of food consumed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the results for the 1:1 and the 1:10 P:L diets.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the mass of lipid eaten when the bumblebees were presented with the 5:1 diet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (g)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason that the mass of protein and lipid mixture eaten at 25:1 is lower than at 50:1.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (h)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the relationship between high lipid content and survivability on day 7.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest with a reason which P:L diet is closest to the normal diet of these bumblebees.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (j)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss whether these studies show that habitat destruction can affect global bumblebee numbers.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2.5\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  %;\n </p>\n <p>\n  <em>\n   % required\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2.5\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  %;\n </p>\n <p>\n  <em>\n   % required\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   both show a decline in number;\n  </li>\n  <li>\n   the mean decline for Hymenoptera is less than the mean for Lepidoptera\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   there is a wider range of decline among the species of Lepidoptera;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  392\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  000 (species);\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  5;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   in both a greater mass of sucrose was eaten (than of the P:L mixture)\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   the total mass eaten by both groups is the same/very similar;\n  </li>\n  <li>\n   the mass of sucrose eaten in the 1:10 mixture diet is greater than in the 1:1 diet\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   the mass of the P:L mixture eaten in the 1:10 is less than in the 1:1;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept vice versa for all answers.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  0.025g;\n </p>\n <p>\n  <em>\n   Unit needed\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   the mixture was closer to what the bees ate naturally;\n  </li>\n  <li>\n   the bees like the taste better/prefer sucrose;\n  </li>\n  <li>\n   there was more lipid in the 25:1 mixture so they achieved their daily lipid/energy requirement with less mass of food;\n  </li>\n  <li>\n   the bees eating 50:1 diet ate more to reach their daily lipid requirement;\n  </li>\n  <li>\n   prefer the higher proportion of protein (in the 50:1)\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (h)\n </div><div class=\"card-body\">\n <p>\n  the higher the lipid content, the fewer bees survived/negative correlation;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  10:1 diet as this has the highest survival rate (after 7 days);\n </p>\n <p>\n  <em>\n   Reason must be given.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (j)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   habitat destruction removes the plants/flowers/natural food source of the bees;\n  </li>\n  <li>\n   bees have to look for other food sources;\n  </li>\n  <li>\n   many of these alternative sources of food are not suitable for bee survival\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   pollen with a different proportion of protein to lipid would reduce survival;\n  </li>\n  <li>\n   no control where bees are fed their normal diet is included;\n  </li>\n  <li>\n   simulation is not using natural pollen / habitat;\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   sample size is too small to make conclusions;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept other reasonable discussion using the data.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  In general, the Data based question was well answered. In (a) all but a handful of candidates failed to state 2.5, but unfortunately many failed to also include the unit. In (b) Most gave a difference, but similarities were rarer. The statement that both show a decline would have earned the mark. A surprising number were confused by the arithmetic involved in (c), with most calculating that the decrease was 8000, but either forgetting to subtract this from the 400,000, or doing it incorrectly. In (d) almost everyone counted 5 correctly and in (e) a large proportion gained both marks for a comparison and a contrast. The calculation in (f) involved the use of ratios. There was a G2 comment that this was not common knowledge. However, as all IB students continue to study mathematics at some level, it was not considered beyond their capabilities. 40\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % of the students gained the mark. A similar number gained the mark in (g), usually for an correct answer, but many answered in terms of the actual ratios, which did not gain the mark. In (h) 80\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % were able to spot that there was an inverse relationship between high lipid content and survivability, but in (i) fewer were able to cite the 10:1 diet as closest to the normal diet, some failing to state the reason. The answers t (j) were very varied, with most gaining marks for the possible loss of natural food sources or\n  <br/>\n  the bees having to look for others. Better candidates noted that there was no control where the bees were fed their normal diet as it was a simulation, not using pollen. There was a G2 comment that the graph was somewhat crowded and should have been bigger. This is perhaps true.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  In general, the Data based question was well answered. In (a) all but a handful of candidates failed to state 2.5, but unfortunately many failed to also include the unit. In (b) Most gave a difference, but similarities were rarer. The statement that both show a decline would have earned the mark. A surprising number were confused by the arithmetic involved in (c), with most calculating that the decrease was 8000, but either forgetting to subtract this from the 400,000, or doing it incorrectly. In (d) almost everyone counted 5 correctly and in (e) a large proportion gained both marks for a comparison and a contrast. The calculation in (f) involved the use of ratios. There was a G2 comment that this was not common knowledge. However, as all IB students continue to study mathematics at some level, it was not considered beyond their capabilities. 40\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % of the students gained the mark. A similar number gained the mark in (g), usually for an correct answer, but many answered in terms of the actual ratios, which did not gain the mark. In (h) 80\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % were able to spot that there was an inverse relationship between high lipid content and survivability, but in (i) fewer were able to cite the 10:1 diet as closest to the normal diet, some failing to state the reason. The answers t (j) were very varied, with most gaining marks for the possible loss of natural food sources or\n  <br/>\n  the bees having to look for others. Better candidates noted that there was no control where the bees were fed their normal diet as it was a simulation, not using pollen. There was a G2 comment that the graph was somewhat crowded and should have been bigger. This is perhaps true.\n </p>\n</div>\n",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b4-1-2-adaptations-of-organisms-to-the-abiotic-environment-of-their-habitat",
+      "b4-1-adaptation-to-environment",
+      "c4-2-14-restrictions-on-the-number-of-trophic-levels-in-ecosystems-due-to-energy-losses",
+      "c4-2-15-primary-production-as-accumulation-of-carbon-compounds-in-biomass-by-autotrophs",
+      "c4-2-16-secondary-production-as-accumulation-of-carbon-compounds-in-biomass-by-heterotrophs",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate the diagram to illustrate the amphipathic nature of phospholipids.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline a function of cholesterol in cell membranes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe\n   <strong>\n    two\n   </strong>\n   pieces of evidence that show that eukaryotic cells originated by endosymbiosis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   line to circle labelled phosphate (head)\n   <span style=\"text-decoration:underline;\">\n    and\n   </span>\n   (tail) labelled fatty acid/hydrocarbon/lipid (tail);\n  </li>\n  <li>\n   label hydrophilic/polar/attracted to water/\n   <span style=\"text-decoration:underline;\">\n    and\n   </span>\n   hydrophobic/non polar/not attracted to water;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   line to circle labelled phosphate (head)\n   <span style=\"text-decoration:underline;\">\n    and\n   </span>\n   (tail) labelled fatty acid/hydrocarbon/lipid (tail);\n  </li>\n  <li>\n   label hydrophilic/polar/attracted to water/\n   <span style=\"text-decoration:underline;\">\n    and\n   </span>\n   hydrophobic/non polar/not attracted to water;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  reduces fluidity of membrane / reduces permeability of membrane (to some molecules);\n </p>\n <p>\n  <em>\n   Accept ‘controls’ or ‘maintains ‘ as a BOD.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   mitochondria/chloroplasts have their own DNA;\n  </li>\n  <li>\n   mitochondria can self-replicate/undergo a process like binary fission;\n  </li>\n  <li>\n   mitochondria/chloroplasts have double membranes;\n  </li>\n  <li>\n   mitochondria/chloroplasts have(\n   <span style=\"text-decoration:underline;\">\n    70s\n   </span>\n   ) ribosomes;\n  </li>\n  <li>\n   mitochondria/chloroplasts are sensitive to antibiotics;\n  </li>\n  <li>\n   similar in size to bacteria\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Part (a) was a variation on a classic Section B question on the phospholipid bilayer. Approximately 1 in 10 students left it blank, suggesting that many did not think that they had to reply to it as there was no answer box. Cholesterol's function in reducing fluidity and permeability was not well known in (b). In (c) poorer candidates described endosymbiosis, rather than answering the question. Many knew about double membranes, own DNA and 70s ribosomes, but did not score any marks as they failed to say that they were in mitochondria and/or chloroplasts. This is perhaps a case where planning the answer was lacking, rather than rushing in.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Part (a) was a variation on a classic Section B question on the phospholipid bilayer. Approximately 1 in 10 students left it blank, suggesting that many did not think that they had to reply to it as there was no answer box. Cholesterol's function in reducing fluidity and permeability was not well known in (b). In (c) poorer candidates described endosymbiosis, rather than answering the question. Many knew about double membranes, own DNA and 70s ribosomes, but did not score any marks as they failed to say that they were in mitochondria and/or chloroplasts. This is perhaps a case where planning the answer was lacking, rather than rushing in.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a2-2-12-origin-of-eukaryotic-cells-by-endosymbiosis",
+      "a2-2-cell-structure",
+      "b1-1-10-difference-between-saturated-monounsaturated-and-polyunsaturated-fatty-acids",
+      "b1-1-12-formation-of-phospholipid-bilayers-as-a-consequence-of-the-hydrophobic-and-hydrophilic-regions",
+      "b1-1-carbohydrates-and-lipids"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   It has been argued that variation in the global mean surface temperature has been caused by variation in energy from the Sun. Analyse whether evidence from the graphs supports this argument.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how increased levels of atmospheric carbon dioxide contribute to global warming.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   other gas that contributes to global warming.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  (\n  <em>\n   Evidence does not support this argument because\n  </em>\n  :)\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   overall increase in surface temperature but no overall increase/slight decrease in solar irradiance;\n  </li>\n  <li>\n   peaks and troughs in solar irradiance do not correspond with fluctuations in surface temperature;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award marks for claims that the evidence supports the argument, for example, claims that the fluctuations coincide.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   carbon dioxide absorbs/traps long wavelength/infra-red radiation;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    more heat\n   </span>\n   trapped in/\n   <span style=\"text-decoration:underline;\">\n    less heat\n   </span>\n   escapes from atmosphere with more carbon dioxide;\n  </li>\n  <li>\n   short wave/UV radiation from the sun passes through the atmosphere/reaches the Earth’s surface;\n  </li>\n  <li>\n   radiation from the sun/sunlight warms the (surface of the) Earth;\n  </li>\n  <li>\n   long wavelength/infra-red radiated from the (warmed) Earth’s surface;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not accept answers relating to ozone in the atmosphere because the question refers to carbon dioxide.\n  </em>\n  <br/>\n  <em>\n   For mpa do not accept heat instead of LW/IR radiation.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  methane/nitrous oxide/water vapour/ozone/CFCs/other halogenated gases;\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidates earned one of the two marks for the idea that the long-term trend in global mean surface temperature is an increase whereas there has if anything been an overall decrease in energy from the Sun between 1980 and 2020. Few answers pointed out that ten-year cycles in Sun's energy that are seen do not correspond to fluctuations in surface mean temperature. Weaker answers tended to pick out single instances of a rise in Sun's energy corresponding with a rise in surface temperature. Very few answers included any comments on the small variation in Sun's energy — only ranging from 1360.2 to 1362.2 W m-2 which is less than 0.15\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % fluctuation, with no overall increase, whereas surface temperature has increased by more than a degree Celsius in the 40 years from 1978 to 2018.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Understanding of the greenhouse effect is very patchy and in some cases is lamentably weak. Some candidates still think that 'increased CO\n  <sub>\n   2\n  </sub>\n  burns a hole through the ozone layer' or that the greenhouse effect is due to carbon dioxide being reflected back to the Earth's atmosphere. Nearly all answers included errors of understanding. Global warming will have a major impacts on all IB students' future lives so we owe it to them to make sure they understand how it is happening. Perhaps they should memorise these elements:\n </p>\n <ul>\n  <li>\n   Short wave radiation from the sun causes the Earth's surface to warm up.\n  </li>\n  <li>\n   The warmed surface of the Earth emits long wave radiation.\n  </li>\n  <li>\n   Greenhouse gases such as carbon dioxide absorb some of this long-wave radiation, which becomes\n   <br/>\n   heat.\n  </li>\n  <li>\n   If the concentration of carbon dioxide or other greenhouse gases in the atmosphere rises, more heat is\n   <br/>\n   trapped and the Earth becomes warmer.\n  </li>\n  <li>\n   Burning of fossil fuels causes the atmospheric carbon dioxide concentration to rise.\n  </li>\n </ul>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Nearly all candidates could name another greenhouse gas that is contributing to global warming. Methane was the commonest answer. Water vapour was also allowed as it is increasing in the atmosphere.\n </p>\n</div>\n",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-2-positive-feedback-cycles-in-global-warming",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the symbol for individual X on the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the probability of male Y having an allele for the disorder.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how the information in the box labelled B indicates that the gene is\n   <strong>\n    not\n   </strong>\n   sex-linked.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a single base substitution mutation in DNA can cause a change to a protein.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"74\" src=\"data:image/png;base64,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\" width=\"54\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"74\" src=\"data:image/png;base64,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\" width=\"54\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  50\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  %/ 0.5/ 1/2;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   if it was sex-linked it would be on the x chromosome;\n  </li>\n  <li>\n   there cannot be a heterozygous male if the trait is sex-linked\n  </li>\n  <li>\n   males would pass the allele to their daughter;\n  </li>\n  <li>\n   daughter is not shown as heterozygous so it is not sex-linked;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   sequence of DNA bases determines the amino acid sequence of a protein;\n  </li>\n  <li>\n   changing one base (on the DNA) can cause the triplet /mRNA to code for a different\n   <span style=\"text-decoration:underline;\">\n    amino acid\n   </span>\n   ;\n  </li>\n  <li>\n   changing one base (on the DNA) causes a different protein to be made (during translation);\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The majority of candidates managed to draw the correct symbol for a heterozygous female in the correct place in (a). However, there were a few who thought that X was male. Just over a half correctly gave 50\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % for (b). There were a large number of very pleasing answers in (c) to explain why the gene is not sex linked including that if it were sex linked, then you could not have a heterozygous male, and if it were sex linked, the daughter would have been heterozygous. The explanations in (d ) were not of such a high quality, with a large proportion failing to note that it hinges on the coding for a different amino acid, thus producing a different protein. Students should be careful about restating the stem as the 'protein changes' did not score as that was in the stem.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The majority of candidates managed to draw the correct symbol for a heterozygous female in the correct place in (a). However, there were a few who thought that X was male. Just over a half correctly gave 50\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n  </math>\n  % for (b). There were a large number of very pleasing answers in (c) to explain why the gene is not sex linked including that if it were sex linked, then you could not have a heterozygous male, and if it were sex linked, the daughter would have been heterozygous. The explanations in (d ) were not of such a high quality, with a large proportion failing to note that it hinges on the coding for a different amino acid, thus producing a different protein. Students should be careful about restating the stem as the 'protein changes' did not score as that was in the stem.\n </p>\n</div>\n",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d1-2-11-mutations-that-change-protein-structure",
+      "d1-2-protein-synthesis",
+      "d3-2-12-haemophilia-as-an-example-of-a-sex-linked-genetic-disorder",
+      "d3-2-13-pedigree-charts-to-deduce-patterns-of-inheritance-of-genetic-disorders",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the structure labelled X.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how the neuron is stimulated to release the neurotransmitter.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the action of neonicotinoid pesticides in insects.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  (Neurotransmitter) vesicle;\n </p>\n <p>\n  <em>\n   Do not accept Vacuole.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  (Neurotransmitter) vesicle;\n </p>\n <p>\n  <em>\n   Do not accept Vacuole.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   the arrival of a nerve impulse/action potential/depolarization (stimulates the release of a neurotransmitter);\n  </li>\n  <li>\n   depolarization stimulates calcium ion channels to open;\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   calcium ions enter the presynaptic knob/button\n  </li>\n  <li>\n   (calcium ions) cause the vesicle to fuse with / move to the membrane\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   vesicles release neurotransmitter by\n   <span style=\"text-decoration:underline;\">\n    exocytosis\n   </span>\n   ;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   prevents synaptic/nerve transmission\n  </li>\n  <li>\n   is /acts like /has similar structure to a neurotransmitter/acetylcholine\n  </li>\n  <li>\n   (neonicotinoid pesticides) bind to acetylcholine receptors in the post synaptic membrane;\n  </li>\n  <li>\n   neonicotinoid pesticides are not broken down (as acetylcholine would be) by acetylcholinesterase/enzyme;\n  </li>\n  <li>\n   the receptors are overstimulated\n  </li>\n  <li>\n   paralyses/kills the insects;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The majority managed to label X as a vesicle in (a). In (b) weaker candidates tried to explain the propagation of the action potential, rather than the release of the neurotransmitter. Better candidates were able to give almost textbook answers to explain the actions of the pesticide. Many got tangled up trying to explain, with those who had never seen this part of the syllabus, just saying that pesticides kill insects.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The majority managed to label X as a vesicle in (a). In (b) weaker candidates tried to explain the propagation of the action potential, rather than the release of the neurotransmitter. Better candidates were able to give almost textbook answers to explain the actions of the pesticide. Many got tangled up trying to explain, with those who had never seen this part of the syllabus, just saying that pesticides kill insects.\n </p>\n</div>\n",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c2-1-3-hormones-neurotransmitters-cytokines-and-calcium-ions-as-examples-of-functional-categories-of-signalling-chemicals-in-animals",
+      "c2-1-8-transmembrane-receptors-for-neurotransmitters-and-changes-to-membrane-potential",
+      "c2-1-chemical-signalling-[hl-only]",
+      "c2-2-12-effects-of-exogenous-chemicals-on-synaptic-transmission",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how energy flows in an ecosystem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how plants affect the amount of carbon dioxide in the atmosphere.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a newly discovered plant species would be classified and named.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   energy from the sun is captured by plants/autotrophs;\n  </li>\n  <li>\n   light energy is converted to chemical energy by\n   <span style=\"text-decoration:underline;\">\n    photosynthesis\n   </span>\n   ;\n  </li>\n  <li>\n   energy is passed to animals/consumers/along the food chain;\n  </li>\n  <li>\n   at each stage in the food chain energy is lost by respiration/as heat;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    much\n   </span>\n   less energy/only about 10\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n    </mo>\n   </math>\n   % is available at each stage/trophic level of the food chain;\n  </li>\n  <li>\n   some energy is made available to decomposers when organisms die/parts fall to the ground;\n  </li>\n  <li>\n   energy cannot be recycled;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   energy from the sun is captured by plants/autotrophs;\n  </li>\n  <li>\n   light energy is converted to chemical energy by\n   <span style=\"text-decoration:underline;\">\n    photosynthesis\n   </span>\n   ;\n  </li>\n  <li>\n   energy is passed to animals/consumers/along the food chain;\n  </li>\n  <li>\n   at each stage in the food chain energy is lost by respiration/as heat;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    much\n   </span>\n   less energy/only about 10\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n    </mo>\n   </math>\n   % is available at each stage/trophic level of the food chain;\n  </li>\n  <li>\n   some energy is made available to decomposers when organisms die/parts fall to the ground;\n  </li>\n  <li>\n   energy cannot be recycled;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   plants reduce the amount of carbon dioxide in the atmosphere by\n   <span style=\"text-decoration:underline;\">\n    photosynthesis\n   </span>\n   ;\n  </li>\n  <li>\n   carbon dioxide is fixed/converted into organic substances/sugars/ OWTTE;\n  </li>\n  <li>\n   plants respire which releases carbon dioxide into the atmosphere;\n  </li>\n  <li>\n   plant decomposition may release CO\n   <sub>\n    2\n   </sub>\n  </li>\n  <li>\n   carbon in dead plants is trapped/ stored in fossil fuels / peat\n  </li>\n  <li>\n   combustion of plants/wood/ fossil fuels adds to the amount of carbon dioxide in the atmosphere;\n  </li>\n </ol>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n   Shows correct equation\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Naming\n  </em>\n  :\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   binomial nomenclature / (plant is) given a binomial/double name;\n  </li>\n  <li>\n   first name is the genus and second name is the species / genus initial upper case and species lower case;\n  </li>\n  <li>\n   names (of plant species) are international/are universally understood/are published in journals;\n   <br/>\n   <br/>\n   <em>\n    Classification\n   </em>\n   :\n  </li>\n  <li>\n   study the characteristics/structure/reproduction/chemical properties/DNA (of the plant);\n  </li>\n  <li>\n   put/classify (the plant) in a group/genus with other similar species;\n  </li>\n  <li>\n   natural classification corresponds with evolution / natural classification is based on many features;\n  </li>\n  <li>\n   analogous features/features due to convergent evolution should not be used;\n  </li>\n  <li>\n   hierarchy of groups/taxa (in traditional classification / 3 or more taxa in correct sequence (kingdom-phylum-class);\n  </li>\n  <li>\n   two or more of bryophyta, filicinophyta, coniferophyta and angiospermophyta named;\n  </li>\n  <li>\n   a clade is a group of organisms evolved from a common ancestor;\n  </li>\n  <li>\n   base sequences/amino acid sequences used to group organisms into clades/deduce evolutionary relationships;\n  </li>\n  <li>\n   cladograms show the relationships between clades/likely evolutionary divergence of clades;\n  </li>\n  <li>\n   each branch point/node represents where species are formed via divergent evolution;\n  </li>\n  <li>\n   species are now classified into a sequence of clades (rather than a rigid hierarchy of taxa);\n  </li>\n </ol>\n <p>\n  <em>\n   Mpi accept common names, mosses, ferns etc\n  </em>\n  .\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Explaining the energy flow in part (a), was one of the best answered questions on the paper. However, the\n  <br/>\n  conversion of light energy to chemical energy was missed by many. Some weaker candidates are still confusing energy with biomass, and lost marks due to contradictory statements such as saying that in the end the energy goes into the soil and is taken up by the plants again.\n </p>\n <p>\n  In both (a) and (b) many students drew diagrams, Carbon cycles etc. Some of these aided the explanation, but the majority contributed nothing.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Explaining the energy flow in part (a), was one of the best answered questions on the paper. However, the\n  <br/>\n  conversion of light energy to chemical energy was missed by many. Some weaker candidates are still confusing energy with biomass, and lost marks due to contradictory statements such as saying that in the end the energy goes into the soil and is taken up by the plants again.\n </p>\n <p>\n  In both (a) and (b) many students drew diagrams, Carbon cycles etc. Some of these aided the explanation, but the majority contributed nothing.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  In (b) many saw the words 'Carbon Dioxide' and immediately treated it as a long answer on greenhouse gases, thus putting their quality mark in jeopardy for superfluous content. Most were aware of photosynthesis removing CO\n  <sub>\n   2\n  </sub>\n  from the atmosphere by fixing it into organic compounds and many mentioned plant respiration as increasing it. However, there were some disturbing answers where students mixed up photosynthesis and respiration. The question was about plants, but many answered in terms of animals.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  There were a few G2 comments that part (c) on classification was above the level expected at Standard Level. This part was in common with Higher Level, but did only contain material from the Core (cladistics appears in section 5.4). There were a large number of marking points to score on. The naming was well known, as was classification into taxa and the different plant phyla. Some weaker students tried to go all the way back to eukaryotes and prokaryotes and animalia and plantae, giving far too much superfluous information. Good explanations of the use of clades were seen by better candidates.\n </p>\n</div>\n",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a3-2-1-need-for-classification-of-organisms",
+      "a3-2-9-classification-of-all-organisms-into-three-domains-using-evidence-from-rrna-base-sequences",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "c4-2-18-ecosystems-as-carbon-sinks-and-carbon-sources",
+      "c4-2-19-release-of-carbon-dioxide-into-the-atmosphere-during-combustion-of-biomass-peat-coal-oil-and-natural-gas",
+      "c4-2-3-flow-of-chemical-energy-through-food-chains",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "23M.1A.SL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In the grass plant\n   <em>\n    Halopyrum mucronatum\n   </em>\n   , the enzyme amylase breaks bonds in polysaccharides during germination. The graph shows how the activity of the enzyme varies with the concentration of polysaccharide.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p style=\"text-align:center;\">\n   <sub>\n    [Source: Material from: Siddiqui, Z.S. and Khan, M.A., The role of enzyme amylase in two germinating seed morphs of\n   </sub>\n   <br/>\n   <sub>\n    <em>\n     Halopyrum mucronatum\n    </em>\n    (L.) Stapf. in saline and non-saline environment, published 2011,\n    <em>\n     Acta Physiologiae\n    </em>\n   </sub>\n   <br/>\n   <sub>\n    <em>\n     Plantarum\n    </em>\n    , reproduced with permission of SNCSC.]\n   </sub>\n  </p>\n  <p style=\"text-align:center;\">\n  </p>\n  <p>\n   What is the reason for the curve levelling off?\n   <br/>\n   <br/>\n  </p>\n  <p>\n   A.  There is insufficient substrate for the enzyme to act on.\n  </p>\n  <p>\n   B.  The product acts as an enzyme inhibitor.\n  </p>\n  <p>\n   C.  The enzymes have all been consumed in the reaction.\n  </p>\n  <p>\n   D.  All the enzyme active sites are occupied by substrate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the relationship between migration distance and plumage colouration.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   reasons, other than mate selection, for variation in plumage colouration in red knots.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  D\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   the longer the migration, the lighter the colour /\n   <em>\n    vice versa\n   </em>\n   ;\n  </li>\n  <li>\n   too much variation so it is not possible to see a relationship;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   camouflage to avoid predators (in different migratory routes);\n  </li>\n  <li>\n   different diets (in different migratory routes);\n  </li>\n  <li>\n   less migratory distance leaves more energy to produce pigments (in plumage);\n  </li>\n  <li>\n   geographic isolation (due to different migratory routes) leads to different gene pools;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism",
+      "d4-1-7-sexual-selection-as-a-selection-pressure-in-animal-species",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "23M.1B.SL.TZ1.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the purpose of lime water in flask B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason that the pot was covered with a plastic bag.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a suitable control for this experiment.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the information in the graph, describe how the experiment could be extended to determine the optimum temperature for immobilized HRP.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  to check there is no carbon dioxide (left in the air)/show any carbon dioxide present;\n </p>\n <p>\n  <em>\n   Do not accept absorb carbon dioxide\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  soil releases CO\n  <sub>\n   2\n  </sub>\n  from microorganisms/decomposers/bacteria/fungi\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  respiration by microorganisms may affect the result;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  using the same apparatus without a plant\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  cover the whole plant with a plastic bag;\n </p>\n <p>\n  <em>\n   Do not accept a controlled variable\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   the graph shows the optimum temperature to be near 40 °C;\n  </li>\n  <li>\n   choose smaller range of temperature (between 30 and 50 °C);\n  </li>\n  <li>\n   smaller increments of temperature\n  </li>\n </ol>\n <p>\n  <em>\n   c. Accept numbers such as 1 or 5 degrees.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism"
+    ]
+  },
+  {
+    "question_id": "23M.1B.SL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   where the DNA of each individual could be taken from.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   how the DNA is amplified.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce with a reason the identity of the father.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how the rose shoot could be treated to show what part of the plant loses water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A standard potometer only measures water uptake. Explain how this apparatus measures the amount of water lost by the shoot as well as uptake.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  from blood sample/hair/cheek/saliva/semen;\n </p>\n <p>\n  <em>\n   Do not accept red blood cells\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  from blood sample/hair/cheek/saliva/semen;\n </p>\n <p>\n  <em>\n   Do not accept red blood cells\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  PCR/polymerase chain reaction\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  using Taq polymerase;\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   male 2;\n  </li>\n  <li>\n   each band in the child’s DNA must be the same as a band in either the mother or the father\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   any band in the child’s profile that is not present in the mother’s profile must be present in the father’s;\n  </li>\n </ol>\n <p>\n  <em>\n   Must mention both the mother and father\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  parts of the shoot/leaves are removed/covered in petroleum jelly/Vaseline;\n </p>\n <p>\n  <em>\n   Accept part wrapped in plastic\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   water uptake by shoot causes a decrease in reading for balance 2;\n  </li>\n  <li>\n   water lost by the shoot would be total loss from the system;\n  </li>\n </ol>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-3-7-techniques-for-varying-concentrations-of-carbon-dioxide-light-intensity-or-temperature-experimentally-to-investigate-the-effects-of-limiting-factors-on-the-rate-of-photosynthesis",
+      "c1-3-photosynthesis"
+    ]
+  },
+  {
+    "question_id": "23M.1B.SL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State a variable that should be kept constant.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the independent variable.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the steps to produce a 10 % egg white solution.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Each measurement was repeated several times. Explain the need for replicates of each treatment.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data, deduce whether pretreatment with ultrasound is effective for hydrolysing proteins.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  enzyme/substrate/egg white concentration/volume/pH/temperature;\n </p>\n <p>\n  <em>\n   Accept another reasonable variable.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  (with/without) ultrasound pretreatment / time;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   measure 10 g/parts egg whites;\n  </li>\n  <li>\n   add to 90 g/parts of water;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept use of volume instead of mass.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   more reliable results;\n  </li>\n  <li>\n   to identify outliers/anomalous results\n   <br/>\n   <em>\n    <strong>\n     OR\n     <br/>\n    </strong>\n   </em>\n   reduce random errors;\n  </li>\n  <li>\n   assess the variability of the data\n   <br/>\n   <em>\n    <strong>\n     OR\n     <br/>\n    </strong>\n   </em>\n   allows statistical tests/calculation of mean/standard deviation/correlation;\n  </li>\n </ol>\n <p>\n  <em>\n   Mp a: do not accept “accurate”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  it is not, as hydrolysis is higher without ultrasound pretreatment\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  it is not, as hydrolysis is lower with ultrasound pretreatment;\n </p>\n <p>\n  <em>\n   Do not accept numerical values only with no attempt to evaluate their importance.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Do not accept increase/decrease instead of lower/higher.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism"
+    ]
+  },
+  {
+    "question_id": "23M.1B.SL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    two\n   </strong>\n   variables measured by the probes.\n  </p>\n  <p>\n   1:\n  </p>\n  <p>\n   2:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest one advantage of using a mesocosm in this type of research.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the requirements for sustainability within a sealed mesocosm.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   temperature;\n  </li>\n  <li>\n   pH;\n  </li>\n  <li>\n   minerals / salt concentration / conductivity;\n  </li>\n  <li>\n   O\n   <sub>\n    2\n   </sub>\n   (concentration);\n  </li>\n  <li>\n   CO\n   <sub>\n    2\n   </sub>\n   (concentration);\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  environmentally safe/cheaper/control of variables easier;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   photosynthetic organisms/autotrophs/plants as producers;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    light\n   </span>\n   (as energy source) for photosynthesis;\n  </li>\n  <li>\n   nutrient/water recycling (by saprotrophs);\n  </li>\n  <li>\n   decomposers/saprotrophs to breakdown (toxic) wastes;\n  </li>\n </ol>\n <p>\n  <em>\n   The question is “outline”, so do not accept only a list of variables without a brief account.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-2-4-use-of-a-model-to-investigate-the-effect-of-variables-on-ecosystem-stability",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw\n   <strong>\n    one\n   </strong>\n   phospholipid molecule on the diagram to show a possible position in the membrane.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The receptor contains seven alpha helices and one other secondary structure. Deduce what this other secondary structure is.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss briefly whether amino acids on the surface of the protein are likely to be polar or non-polar.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of melatonin in humans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  phospholipid shown with circular head and 2 tails;\n  <br/>\n  e.g.\n </p>\n <p>\n  <img 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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n </p>\n <p style=\"text-align:center;\">\n  <sup>\n   [Source: Material from: Stauch, B., Johansson, L.C., McCorvy, J.D.,\n  </sup>\n  <br/>\n  <sup>\n   et al., Structural basis of ligand recognition at the human MT1\n  </sup>\n  <br/>\n  <sup>\n   melatonin receptor, published 2019,\n   <em>\n    Nature\n   </em>\n   , reproduced with\n  </sup>\n  <br/>\n  <sup>\n   permission of SNCSC.]\n  </sup>\n </p>\n <p>\n  phospholipid shown in either the upper or lower half of the membrane only with its head at the margin of the membrane and tails towards centre;\n </p>\n <p>\n  <em>\n   Accept answers with two or more phospholipids shown, as long as all are correct.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  phospholipid shown with circular head and 2 tails;\n  <br/>\n  e.g.\n </p>\n <p>\n  <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAaUAAAEpCAYAAAAzoD0NAAAgAElEQVR4Aeydh5tUxbb2v//j3nPMIqiYI6AkkZyRjApIUhARAxgx5wgqWQkqSlJBJYkKqIgEE0bEnFAx33Njfc+vZt5mdbF39+6enukJez0P1O7alWtPvbVCrfp/LqV0BNIRSEcgHYF0BGrJCPw/2nHllZe7f/zj39J/6Rik30D6DaTfwD/+za1evbqWLNENrxkelNq2beOuvvoq99xzz6X/0jFIv4H0G2jQ38DIkSPcvHmPNTw0qCU9zoDS4sVP15Impc1IRyAdgXQEyjcCd911ZwpK5Rt+l4JSGQc/rTodgXQEat8IpKBU3jlJQam845/Wno5AOgK1bARSUCrvhKSgVN7xT2tPRyAdgVo2AikolXdCUlAq7/intacjkI5ALRuBFJTKOyEpKJV3/NPaI0bgP//zP93One+7d955x/3Xf/1XRIo0Kh2B6huBFJSqb2yTlJyCUpJRStPU2Ag89tij7rDDDnFNmhzhjj22qWvU6DA3e/asGqs/rSgdgRSUyvsNpKBU3vFPazcjcMstN7uRIy5wa9eudZs3b/Zv1q9f7y6//DI3YcJ4k7LmHzdu3OgWLXrS3XrrLe6SSy521157jRs69Hx30EEHuM6dO7oLLxzjXnttU803LK2x5COQglLJh7SgAlNQKmi40sTVNQLr1q1155zTxwPS559/7j7btctXteHVV304YsQF7u677ypZ9R999KGbOXOG/7dt29ac5QKWxxzT1I0ePdLNnTvXzZ07x/Xs2cMddVQT98gjD/u8K1escKeeeop7/PGFOctKX9b+EUhBqbxzlIJSecc/rd0599lnn7lOnTq477//3v3f//2fe//99/24fPnll+5//ud//POePXtczx7d3ZQp17u//vqr6HFDFNiuXVt3wQXD3FWTJ3mgGz9+nGvV6kx377337Ffu1q1vud69e7r33nsv6923337rPvnkE/fFF1/49v7666/utddec82bn+5eeeXlrLTpj7o1AikolXe+UlAq7/iXrfa///7bffTRR+6rr74qWxuo+K233nInnnC8N2oAbP71r3+5G26Y4q644nIvEhszZpR3gfXEE0+4V1991YNIx47t3cUXj3NPPfWU27lzpweyfJ3Ys+dH17FjBzdq1EiHIQUEoAAk0LvvvuN1V4jicDEzefIkL57r27ePbxtpvvvuO/fTTz+5Dz74wH399Ve+7T6zcw7Q5D3/evTopug0rIMjkIJSeSctBaXyjn+N175jxw43cOAA73QTY4KDDjrQHX30Ue7FF1+o8bZQYevWrTKL/h133O4OPPCfbty4sW7O7Nk+/sMPP3Dz581z5513rjv44AMzIrwNG151EyZc4o444nB36KEHu0mTrvCci+2EuCzirrnmanf7bbdlQEjp3nzzTbd06VL99CE6rLlz5rjPP9/tuTe9/O233/wjYwgIRdFPe/a4s85qk+HwotKkcbV7BFJQKu/8pKBU3vGvsdrffnuH5zhaNG/mWrRo7r795ptM3YiocMiLTgd9Tk0QHEfv3r3c9OmP+OqmTZvqRo68wH0R1P/3X39lDAh2797txowZ7YYMGZzVxA0bNjg4qX79znHdunV1p512iuvXr6/DsWabNq1cnz69fN/gtKII8EIUB8EFtWnT2n399deek0SEKPrjjz/0mAklalTE22+/7bmxX375RVFpWMdGIAWl8k5YCkrlHf8aqX3q1Afdcccd4wYO7O9OPPF4t3TJkky97Ow3b37Di6W2bNniTjnlJPeNAaxMwhI+sGCjQ7rl5pt9qbNmzXSI5JLS+eef53r17JGVHDD5/vvvvDhv8OBBWe8AQP59/PHHPh4RG+khgOqHH37IpAecARoAcNmyCg7q9ddf9+8R+73yyiuZtDxsfuMNt3VrtqFE//59s9KkP+rWCKSgVN75SkGpvONfrbWzEGO2jB5l4sRLPRfx3rvvZurctGmTW7NmjT+oqkh+n3jiCQ7Oqjpo7do13oR65coVvngMD846q63XxSSp760tW9zevXtd+/ZnOzgkCBC1XMwFFwx3//u//+sNKOCCACOASPTuu++6Tz+t4IwUR4h+68wzz/AiO9KI/vu//9v9+eef7tNPP/VgZsv64IOdSuZDQKt791SnlDUodexHCkrlnbAUlMo7/iWtnQUYcdMzzyx348df7I499hgPRs2bN3P33HO3rwugQr+CQr9Dh7PdVVdNdn369HarVq1yc+bMcR99+KE3y+7Qob374YfvS9q+GTOmuyGDB3mxGIYWl1820RszhJXAseUiLOHgbgAmGS3Y9IAS4jg4MgDk999/z4ASAPYf//Efbtu2bT4L6bD4u2zipd7AYsubb2ZxPqRdtGhRJj3GGJaTBLB27drlQYv6mjU7zb388nrbnPS5jo1ACkrlnbAUlMo7/iWpHVPq22+/zR199JGua5fOrmnTo73y/9RTT/aHPFnAWXy/++5bd+aZLTJ6HFWOOx+MC0SYN8PJdO3aRVEFhe+9965DRwQQLl++zOcFGFq2PMObc991110eNDG4KIZkwHD99ddGmnFzpimOEPFBcFvSI61bu9aDNPGI9eCKQsLIIYx/ZvlyLy78+eefHQYTnGfCai+luj0CKSiVd/5SUCrv+MfWvn37Njds2FA3adKVXvyGXghR18KFCzxgYC03ffp0h/4ErogFEuW8FPMo3AGqs9ud5a3UEOEBSNwujCl4SOh04CrQpVA3oirO7cAxffZZxUHWME/4GxEaVnIjRgx306ZNc/Pnz3PnnjvE64/OPvss17fvOa5//34e7GhzEgqBQIYF1IU+qFGjw32/vzIGCfQVTuzDDz/0VUh8B9cDMP/x+++ZcSLBgAH9HGI4QIo8L69f78vkHePJWPDOivQYQ8ARs3LM6uHeBg0amKRLaZpaPgIpKJV3glJQKu/4R9b+yy8/uzatW3mdCAnYiWOijF7oH//4N//vyCMbO/zEIT7KRSycs2fN8uK5XOnwTMDibEVncDenn36qO+aYo93zzz+fK7tbseI5b/WGqBCu69JLJ3iLPhbqAQP6+7yEtId+iDCygBChwW2E9MYbFe/DeP3GMOH+++7LcD3E43lBXBC/0RVhws0ZqJAwsnj88cc9F0SaH3/8MSsJcQAOh2VDoi/U8+knn3hRKICfUt0fgRSUyjuHKSiVd/z3qx39RK9ePdyWLW96fclLL61zd955h+MQJ5wTLm4Qt5Wa0JVcd921rn37dp6z4lAqYjzqh8MaNXKEf4cep0uXzn4Rbn92OwcHxFkhDqbCyWE8QfsIWaTxXQc3gbfvgQP6+wUevZYoBAHFJw0BcNohgrOZPXu2mzJliqKyQrxHACSEECI3gGnhwoVeT4UoVJZ5hIyDNWxAFAoYwbFRzp4ff/QgPHz4MM+ZZlVWzT8ASvSHTz75pOduq7m6BlN8CkrlneoUlMo7/lm1AwyNGzdyDz74gBs0aIDr0aO7NwZ4fOHC2MOYVum+fv1L3upMhcLp2PeKzxe+uXmzBx0BBtwThhGIxODMsGyj3DWrV3uR3GOPPuqLlPgPzo50eEmgT4jgEH2NHXuRoy9xRJkAWBxZsaPtK7qrmTNn+my0GRNuDrB+8cXn3kycFwIaiQMFShh9LFgw33NqFnx4ZtG3dVJOFMcFp0U/uxWpg4vrb1w8B4exqrzyyivc0qVLPPizkHJO65NPKsze4/Km8flHIAWl/GNUnSlSUKrO0S2w7MWLF3vRHOeJpBuyRSB+gnOpCuGXLYl12EMPTXM333STwzs2upjpjzziRlww3CFOg1sYPnyo13VhMIDXBZlkAyqI4Vikl1Seh2JhX7ZsmRfpFdL28PxPXF5AskWLZm7x4qfdjh3bfTJ0WzhJxQQdIIGrod2ADX0CYIlDz8XB2yhCpAjHFxL6OvnCwywdoKPPbCRygWpYTjG/AWMOHYeiSOYVfSBnuFKq2gikoFS18atq7hSUqjqCJcgPZwEXwa4ds2kW9Diynhji0pQifvXqVe7GG2/wOha8PGzfvt2bimNEwIIPdyBzbHET0m999dWX7ttv93mMgCtZvny5m3jphKymAVq5+lqIVwTAALEiV0qwYOMZAu8PeB8XAR6WcwRw8P5AXtousSJgxTkmAM2SuKvff/vNffzxRx7c9B6x34033ujnUXGlDgFVvFOI24sq/7bbbvXgHPUujUs2AikoJRun6kqVglJ1jWxQLos0Czk6ISy8tICzy8eB57PPPhvkKPwnixainaTELh9AFOGcVAvz88+vzJxtgiuA24Bef/019803X3swkXcD7dozepY9e7w1G4DDAg/dd9+97o7bb/fPpfgvrq9Y9fXq1dNXwVUXcHv4qoNkSPHss894Tom0GF3s3bvPJZDSkF4eHXxm8x/9hYt6+umnfSziTeLef+89z+k+9NBDfuzYYMBJloKYm+OPP85zqrnKY57w3pHe2JtrlHK/S0Ep9/hU99sUlKp5hFnYunTp5IYNO98fVMWYgMUQxTiHVgnnzJm9XysQ37GwwIUIKPZLVI0R+JfDag1QQR8EZ8DCC6fxw/ff+0Vd1YciK2uIATDRlyFDBnkuEI4iJDgu0pSqr3BL+MDbtGmjFxnChb766it+HHds3+5efeUVf2iXCwUReWFKD2HYIRAhHrJe1BkLgBcubNenn7ptW7d6/ZrSvvDCC95v3rx589xzzz3rDR9wp8ScJ+X6mHOsKs89d7AbO/ZCz3kRXn/9dYlFgzdMmeJeeCG3taTvXPpf5AikoBQ5LDUWmYJSNQ01O1YugkMkh76FhZfFD+U/lnWIgvAUgLI6ilikJR6z7wEAK4Jidy6uy6ZDxGPBIgQKidxsHj1jFAAoIb6S5wO9w/JM+hTFEeLUFZL7HhkN4Gmbhfzwww918rJt8/EsUArjGUPb11/37vVnhsJ06LzCvjLOWATisYJyHn30UX8dBuJHrsXg7JW4OLVB8wP3uLvSSg9AxuDhlZdf9kYF5AFwQuIajVCfQ1pA+dFH53rRogxHwrz6zfhgwIB5PeNs50xpCOXDj2fm3s4H4//nH3+4oUNT3ZIds0KeU1AqZLRKnzYFpdKPqS+Rhe/uu+7yupioKuA6uKYBazQWK6yoRIjIqpsEGlH1YFLNoV0IMZno/fezL7pTfL4QXQ8GGgAhXIXOJpGvOvtK2zGAePjhhzJNhPt78cUXPRAChpisx9HLL7/suUM2FWwS0FFBcFQiiWI5j2XPeOm9whUrVnjDEP2OCjt16ugQm1aFxOmNHj0qp+6pKnXU97wpKJV3hlNQKsH4//rrXi+eAWggdu1YSEEs/tr1wh2xG0fBzu69UaPDMqbe4ZUNPrNz3vKNXX+hxAKJNVpSsZEtf926dX4BtkYVMqlm9285DBZovVMZLIwCPbxCIL6yxNmeKILjKaavUWUpDrN4FntARZzHW29V+NZTG8P5QVeGrg/C6rBnz+5e1Mp15xwAllUgmwnKp5zWrVtm5pJ8mzdvVhMyIddpbNxY4UQ2E1n5gPcLLjdEV1UK4o6oZ555phRFNbgyUlAq75SnoFSF8cePGjvSgw46wDVufIS/hA7xEJfO3XTTjVkls0i89NJLPg7RETv2Lp07ZdIsWbI481zow9q1+yzMyMsi+dSiRf5CO1zmFErowfCWbQkdiowAWMRFPH/00YcOrgJ9iIwK4CBYmNu1O0tJM2E+Lw2ZhBEPApaIV7FRGCSIWyI/bbYug8ho52feY495TgoRJpsLNhDMGdwv3C1nye6//z5vJIKloUBaQEZ5HLpFdAdgA7aIMAG7k046Yb92IrbjGEBIbHJ0M274Lt9vNgaXXnpJvmTp+4gRSEEpYlBqMCoFpSIHG4V9586dvL5AuhLOr3Du5cILx+yn52GB2V7pmZoq0dV06tihyNpzZ0Op//zKlX5BwycehP82iXbicsMZydyYBRkuQARXQH5rqECfAKqPjS89cR/oPY49pqnD63YccVaI9Lt2fepFe3CL1MNiboEvLj/xmKqjU7Hpw75SBz4CERuSljyhHs7OD9wlIIFxgc5fqQ2AGV4sevfq6X3vwYGRxnKkAAl10heRxgXvGKHIEgvAJIYJiD//+vNPF4pR33nnbVWTFUrcmBWZ/sg7Aiko5R2iak2QglIRw8vOGT3J8mUVHrDZIb/xxuv+RD2udt58c3NG/MPixwINF4E+xV4Yx67bLmboOOA0WHwwELA3peIwFEV/SKG4h98Axz333ONBad68x2Kt9wRAKpNF9O+/K85IYSFo71SSHoWrLSAMEBDzcRDV/sMIgN99z+njPYVjdo4+iZCzSvxDrDRr1iyvT3vu2We9ZwgWcgwreIfRAMYBC+bP9xwM3B76IcuJ0Ab6+l2ETzr1x4ZDzz/PYRUH2flhzO38MH8nn3Si1zvZ/PJrhxEBHC/WfdwDhZhUY0J6LCX3Rtw6C6cE4STXitV27nzfX3dhQVX1hnMb5X9PacOQueXm3ZQKH4EUlAofs1LmSEGpiNFEx4AoB0I8wxUPOErd+tZbGfGVioWLApgkYoP7WFx5vuWqyZO8+a/SKnzqqUXejxznmgCzXKRdtw6J/vjDDx7UMFZgoeefrhwPy5GoLYzn96Qrr/T6FL3jfJUWVuIwlaYfqiNXyMWBD9x/f6K0ceUwFldcfrmjf7avpE9Cr722yf3zn//u5lcCE3nE4Wp+ELnhxw/PGvkIPRUeI7iOAxDORfRfdOuttzjOSYluvvkm92yM7iec2ycef1zZ8obM7ehRI/OmSxPsPwIpKO0/JjUZk4JSMNqYA9vFV68BE7gVFpFzzunjjRkQuyCiatOmVdbpf3b07MDJg3WXNWtGNMUuFnEOHNEll4xXFT5EPwGnwGKLSxnOrGzauHE/cVNWpsofiMNoO3XghQFdCuVgBcjCS3u+/DLet5wtE1P2Da++6rkuneOhzYjw4Pgo99Zbb/X94znfv6smT/bXsMMpoexHxGg5LDgp4onDZc7q1avdsqVL3eOPL/ScCeUzloAKfVRfxcHRdss1RfUVPR5XdHDAmPlh0ecqC/oH6GJCLq8NGgs7d4ojvOOO2x2umAC7iy660HtEp120By4XUGCc0GVdfvlljjueMPg44YTjXPfuXb1RA3NPOUmI81W2r+SxHBnfkggdFmff4jYjSpeG0SOQglL0uNRUbAaUcErJzrHU/xCNIO5Alv/G66978Uap6yhFeYi8Jk26whspnHLKSa5Fi+Z+YafsKVOu97vsI49skrnEDbNidt4czJQYDEBjcWDxfvLJff7UENlJ/MPEIoZDpAV4YRghYqElbtbMmf6acrvQP/DA/f7Qp9IqjPLNpnfs+CmDBT40V0bMxsJsyYrHWEARsSFeJB5REm3GMwPOT23b8j1TjvUcQZ30NRfh/RoghVNcuXKlmz9/fqZOxhJA0LirHKvbUhwhYKS+IpLkzBQGGHBGXK/ODb0ABYeCQ8JgI4o2btjgr41Xucxx925d/ZUj3HyLoUjPHt3dzJkzPLAzT1wDwhkkxKSAn272RTQZtRHKNbe0KRTnAUZcMgjXPunKK0r+t1yKvzNbBhscdHRwkvzjmTibphzPcLOIvS3xN83fzL5/z/m/ab7FuH82f/qcfAQ8KLVp09rLuvMtLknfow/AeecxxzT1fyC6A4gQyzQunmPnzM43aZnVmQ53NO3atfU6EFzooLjGFBhgQjGNHsCe12F4J0y4xHFzKrtuFmwtKjrEyQLJQswfGcQCK8LsmQUVjgBlOoQFmyWU8tyhhFWb+r5gwYJIU2Obzz5zB5Ly5rsPCTDln7xHXHP11Z4r5HLB2267zYMCOiSVlyTEdRJ/sCEARXEfjLmNh9OxBIf35BNPeD2W6mYjFZqj2zxxz3AwmF9jOYlRChwlZOuPygsHSt0i3PnA8bFgQZi6AzgYsVgjB/LAodm40AIxHCPVkTTE4OTss9s5vmXapDGqbSEcMdwhrrWwYrRrA8/E8Y40pC1H+ydeeul+oMS3wQYj1z/cSunf5MlXRt6KnHQ+G3K6koISDjZxqcPHxZ1ADz74oL8cDpEMHxcmsex40cecesrJfoeKCKhcH9+qVav8DhkxnBZj+zEg1pGlU7hgsaCxSFtxD+lDHdDu3Z95k2BbLs+AGOdWuM8njlioAW50CQIEQsy9sfrKR3ACXPXN2D/2WMXOj+scsDQLSSCAiAj9F2InONxiFgV2vU8//ZQXX9l6EEPGEbt8tSEuDfG0DS5V7eLwMSATRfQ15KaULkldpLX5rTECXD+iSAxCSAMwCZzst0LbENnxjVvS5sXGFfsMMPfv19d7f9e41MaQiyTPaNHcHXtsUy9hYIFfs2a1P7cHV8gzcUgf2NCecUZzR56a7ksUKBU6N6x5nNFLqfARKBkosUPAmowPjkvH8n1IWJZhPg2A4f8tX/pSv+c68dNOPcUtiVBqAxjsikUs7iHhDgYOiR2q3QGH6fgdZVCAkQC3y1oOKiqv4hDFIcbSOMyZPdttrryVlUUxdAdEPkSmc+fO9XnYMIRAZhdPgIqzOoWK5tQehYAfHBLXYwA0VSUWKku084477siMA/UCDvQVq0jI6leU1/ZVcQrDOhRPSLkiOJCQjj7qyAzIA0rSv5GO/mM+zreWhAA9GXEoPRaJFhiJZ+ODGAmi/+ir8LunOaiN4W233ur/1lu3Rv9asVHK1U7SkJb1AU49V9pSv0tBSV9fecKSgBK74iaNj3Ddu3fLWjjzfSzsHjlkethhh3i/YSjW8+UpxXsWsRNPPMErgllEWDy02/67Eozg6v5lFlUWdBYDFh5EcpeMH59x1oklGu+I56wSRHoAp0Is9qHnEgExDqbikoZbWLWIhlMfd0AUfQ4X6omzxLRYB3LDMvSbe4w0Zoi/LLHDhhuDY1yUYCOhchRyWyuir9WrVnm923XXXbefbzrGJQrU1Y64vspCUelsSJkLFy7ILG6cxeLG3lxUqJgv7uxPWAfOX7GWtJsY5h5fgM2anZZ1qWFcXxnPUOcW1hP3m6vYy7Gp0zeQJMQ7PGL7YUPPL4j75ttm80deDDeS1FWKNCkoxX1tNRNfElDCPLZrl85FfzSIsNgRAVCl+KjylYHjTBY1CEWqDf0P5/xZku3bt+lnVoiVF8CydMmSzGn+rATmh91pc0gUkQSWVMUSADp71qzMOGHEMGPGjIwin3IlRuIZ3YXGgxttRQAk7efWVr1PGj7wwAP+DNHP5lpzdCJwBXAyUeJB1VvKEDNxtRmOsBwE4OIJ3LoVYtNw9NFH7WdcUtX2yXOELQfd2IMPPJAZB41HbQmRoPC3jYPYYttE3mOaHl0QoBVbF/lSULJfWM0/VxmUrrziCnf44Yf5g6TFfgjIXwGKo45qsp/VWbFlxuXDuAAQZTFh8UT/AYdmiSul4SAgQEW6hM927XLffP21BzJ0Csi/8R793nvv+rRwRSxOgAKGEVz3YAnLKLwJRBHcZi6SlRdpAAArzkOshN5JejH0WCJAVyI5zsfQPpx+YmpeiKEJHs1pIwsuu3orpsJqjTKbNGnsy8faTWCvdthQ529snH22fbXx4TM6Kum96AucG25/SkGIXK01YlyZgDv6RS7f69+vn+vbt48bNHBAZrPCnPAtxlHSvpKf7ysEfHzx4cw37nsvZzzfClaIiOFeKtBIxrYbPepJJ53oDSAkJbDvS/2cglLc11oz8VUCJXyEsQtCbFOKD4OdNq5RSlFWXBnIpzHxZiFn8UbhjA5JiwMm7BDmtvK2gEyfHd/o0SP9AnTukMHePBuzaQDILsCIAQE0FjTEeZTLAg4Y4EdNACcOivpDy76oqY8SgWGEgR5IfYVzkH86W8a0aZynqThLdNddd2WeFRcXYu2HGI2F/5dffvZt5/yTJfpOP7kbCk73zjvvsK/9s+2rNQzZL2FlRFRfo9IyxnB/tv2IE1WHLCLjNgKMvXR6cL+59E6YkltACM21mUO4Ur4V9RdvFfkoaV/jysEdlM612XGoDc+YVmNuv3bNmqw5KqZt4rjQTRWTv5A8KSjFfW01E18lUIK7adLkiIJ23Lk+DnQmRzZp7A9Q5kpXlXeXXjrB4ZEZHYAWGYm77ILOoU30EOh9OnRo77hmGqBiUZ45Y4Y/yd+06VHeeo6Dl7QJjk+LnC2LRQPZ+NVXX5VoVuVeCFAU9xOVkUWUHf0jD++zUIKDsoswhztxHgoQ00YZPuQaQywk8RUnAw2JjThHglEHO1dLgG6zZqf7vqNHKYTUVxbzfH0Ny2WBmjNnjj9Qa/vDGNRG4iiAzhbF6ZdoNwCnb1P94GiAJW1u+E65k8v2v7Y8n3VWG3+zb6nag4SDMktVXlw5KSjZL63mn4sGJdhoFuXJkyeX7CPhDw83L5wLivtgqhrP+SL8m7FD/frrr7IWQnb97LIxi2YXzoKJDghQsYRhAO9ZpBGdwDFddtlEfxAWf2PDhg314kgU0Byk5KK5RYue3G+hsWXaZ1mtAUq5du+ypsPQwlo8sihjzAH4co8PY8Yld4Qs4lFjSDosEckHSLPLZ6wYE9ohgNJhUms4AOjdeOMNvgt4vOB3UlJf4S5z9XXVqhf9ja+IIPlOaKf6ce+992ZtjBhrS3FngDCYsMRGxZ4Xo23iumy6Yp/VV/KH55RsmZpXGxc+y8AFcOIySXueTeNSznD58mVeimINbaraHnwhIpmxc1/VMqPyp6AUfm01+7toUELZfsAB//AmrFETW2xcjx7dXYf2Z2cWnGLLicsHtyLvySNGDM/cmIqeBH0EVlyIoyC4KhY4LPHyEecpqpvgUuz13LY+gPTeSiesUX2fNavCC0MUKHFQGCelEIBEfghAbdu2tQdfeQffs2ef52vSsBh269bFp+c/xu+QQw725vKZyCIfAEbAiEPEUX2ycfffd59PgwEL3Ah9EskJrn4rtH1VXBjCtezYEa0HDNNW5feHH00pL7UAACAASURBVH6QM7vGPyoR3BIGD3Y8yv18yfiL/VnEUrcDbyu4Zyp1uba8FJSivrKaiysalFDu4u3ATmYpnnVnjRTYpSjTlgHIyHsyIjVL6JNYqNA1YNp9Tp/e9nXWMwpuuCUR4hb7m11x6KuMXXe4Oycd9YkQ/0knQRzXW0skCNdiTYdtfaRFjIZ7lKhdM9we71i0V69e5Q0jHnroIe9mJ2yT2gLngNgPh7O0Cf0YbnkgcRBwN2qfzgdhsEI9oQiKvlqxle0rnCum1XiewEUT5u523vI9s3vGB510NGHdubgw9ZcwnFfiwrLsHPA+7JfK27Z1a9Z8h2bmGi/Sh+2TeE5lffvtN3rMug6dSOYJfWW+MarJ961anukvRCx1nQP693OtWrWs1r6moJT51MryUDQo8dFhFl3qj27q1KmeReekfqnLVnlcOYC12MSJEzwIoctAHMWiKwU2ptKIouIIIJFxhNJg5KAFHkCyi47SVDXEykwkXY9+K6SfiPNQ+gNQiFoRRU6fPt3rvfC0QTtZzEQsvHHthQvk7ihADy7S6sbg3mSooYW0X79zcl7rjW4FUOMwMP70uOBQc5M0hHvF2o5DwXitkFGD+hOGtq+807m0MB3jIlGl3jE29kbcDyIOUyttsSFAp/HHpVLY3nzl4lnCupVKOo7VkY5vFDHbpElXFjyv+dpDmZRdiOVovjLD9yko5fvaqvd90aB0xBGN3LixY0v+0QFGfHTWYiz8aKr6G26MnSWWW3AfkBYiHWjFr12c2CduSrhcTgQXI0s+xRUa0s/ffv210Gyx6XUODK4iyiFrbEbnvMiTeYELAtQgXUwncMRMHmre7HTvMsb/qPyPeV25coUHxqrMH2er0Dmiq8i3cMPtAqLWIattU9JnO6/kCbmapOXYdDicLSXhbxK9XlXGtlR58ejBt1IdlnJY9FE232+p2huWk4JSKb/MwssqCpTgJvgw8BkXTmhVf6Nsp+xiDnUmrRtDhRNPPN7LpnUeyQ4du+5xYy/y3rVtPBxHLrL6HrgGAV1UHono0MGIw4ATEdcRlUdGBlHviOP8T+jTDREZLn+gq6++2s8XYrJ8xMJrxY+U07lzxyyPDX7R/+UXf30DCxE6LURoeFNnrNi5I4bVLbhJ58emY0cMp4bYlWeNQVRf6ZM8auTrn31PX3ONu51X8vE75JJtecwtxhVc4Ceyz4qzofpl4+zz1q1b7U//zPk4iU7XrF7t3Q3ZsSvXM9wrf8M4hy11GyiTsqmj1GWrvBSU9vvUajSiKFBi8vBzh3WWJrJUIboPPjrMw0tVZlQ5LJgAEybToSEDPuW4DlteHzQjSTkfe7Oo8saFoX4iLl2uePqXhLACJC0WgxBWdXF54dBCn2uYgmPpxY68S+dO3qCBuTrllJPdySef5AGJQ7ZR411oHNaA6LzYQEgkSpsl4srXX3wDWp1bvr7KuCVXudSdz8+hzY/H+apS3PzYctFpYdiBDrTQca6O9HCxfBecWSt1+ZRJ2aW06gvbmIKS/bpq/rloUGJBxxFkOKFV/Y11GB+dvTm1qmXG5UeMhX6Jy9AwcBBxxgh90rhxY72CP5flEztVy1FQRqivsPoO0srSTfUlFQdxySCkhRHRozWSUHmE+F7TLlrxAiW8UEDs5rluwdJbb1UYMhDHos4OnQUA3RQcHZuFiy8e52655RZ/myy+/Eqhy4Cj4vAvHtB5xn0SQGH7ao0kbJvhNsO+2vc85+trmJ7f4bwwdyFQ27llzC3BfUVx4jaNnplb0orTRdcWRf/x99/7OdYlHQYogweXXscb97eTKx4v7vwN62xcrrSFvqNMyrae4gstI1/6FJSivryaiysalLh9lcNs+Sa40PfswvnodL6m0PyFpucqas5GWfEJoAJHgIuUKLFJOD3h4hW+L+Y3bYg7XxPFsdkDs1H1ffbZrsxFedwBlYvYeb/+2mvekEDuYTAqwHMz9yMVOsZR6ZlfDuniuggP1xg9YPkWUjF9Dcso9ndSrqzQ8uPKxWtG+C0BtqHVXlR9iLvxSRg11jUdh3gf3SMWuqWue/SoUe6oo470BkmlLlvlpaAU9YXVXFzRoMS5CA7PaiJLFcJ94cyyVOUlKQePDezMoS1vvulNktmR4ZkYn1uIfkRvvFGhzNfvUoXXXnNN4qJCcWO+jHiawPpOY/FqjnNXjAOiIKUtZYiRwn333edumDIlsRFIoX21530KmSuAOOR08o1rkvfon5544vEkSb2/vDjAiioATgw9JP4YO3SovrN9xXwDXEtTHecN27c/22HdWUybkuZJQSnqa6u5uKJBCeX1QQcdkMhtTdKPgXS4qRk1cmS1fnRhe/DxxvXY6JDQ8WDqzh04WHctXLDA9e/fL/aaCU0VJ/Rlyae4OBGM3hcSWkW5FVX98Uf2Da22TJ3ZYaFbvPjpzJjKtQ+iIvQ1b27e7DkVRKbojcLxKeY34IbD2mVLl7pVL77oxX+hwYBtq32O6+vPP/9kk2U9q6/2PI9NoL7ihaMQgnsLuWWOEIQcTSFl2rS2r8RrbnP1FbEmc6pza1zljrVoMfNUXXkeeOB+fyXNyyW8XRpOnWtuKLu62k25KSjZL7Tmn4sGJSav3VltXbduXUv2gaCfQHRHWJ0fXVTZWI8BTFzFfPG4cd5cXNOBjuP0009LrB9QPhuyq7W7eO4vglhYkiyU7ORDQudjfezxPvytPNZaSWexsFSbN2+ee9j4zosam6RxHM6dNm2qv9YCQNYCa/uaBKjj+ooO0FJcX20aPeO81nK8ii9FaK+toDz1l28ql5UeaaP6SjzcrdVVMldRJvB4HeEMGd43ks5TTaTjG+OOtVKKFPHxh69Nyq7OPqSgVIq/iuLLqBIoSf/DwlaKj2TMmFH+bppSlFVsGbfffru/ivnCMaP9qLIjxgiCMzktWjRzMjaQwptFRbt0TcOmTRvdT5W3oBLHOZmkhPfyfAtZrrJkXh6m4SI8xgRxGCB09113+QO269cXduU5fvVmzZrlnn7qKe+DDGtJLORYKH76aU+t6Ct9x5sCYyG/hZqvcFyifgu88HwREt4mRHArhXBMuY4IqMy4kA2ItSYkHUDVsuWZ3vT6sokTS/I3WOzfTVS+ERcML9mm9cUXXnCNGzeqFuOqsO0pKMV9hTUTXyVQYoGruC+lZeY21HCCk/5moTvkkIMchwCT5qmudCjdESNyFkZ3IgFMWHn16tXTcV0A7eS6g+qine/vO+NCHTrXVEh91jKPMy1y2rp82TJvRQfAYGiACTsWdoQ4ceXgMteacy1GeM32ggXzY3f3hbTNpgXULVdQ1b7asnnmssYoD+R2s4ABhyiXtaXSVCW0c1uVvp533rn+ChY4yOp0Ylzs3xl/R4jbrrmm4nxcseWQD6/1cEmUWZVykuRNQakqX3fV81YJlJjgFc895w477FB36y23FP2xvPD8834XhMVbko+mJtKMGjXSL9zoQeSxgOHGOSeWcZdffpn3IB7eL5RvStjtcjdMVSg0MwZAkhCLP/cjcaU6oBpl7aZy4NbgAjDDRuT20EPTvDUexh+FEIc6q0JhXzFNr620ZcsWF6fTStpm21/mSz4Gw/wAJ1wSZ+ouu+xSd/fdhd8gXBN/RxdeOMaL5Nl0FlsfeRHrh3dnFVtevnwpKIVfW83+rjIoMcHXX3eda9ToMHf//YUrIBH9cEcKlnx4c8j3wdTUe8xZuZ0VJTe6EelHENlIvIYuoU3rVg4vzezEQzFekqm0V64nzW/PxoR1iLMjHgC0gBqmLfT3tm1bvZl6be1rqNsptH82PX2FOCeVdF5sfjuvxCcpg/mKSxceETj33CEZd09skPAZWVN/G4XUg3FC+7PbuRNPPMEV48+SPOTFFLyQequSNgUl+yXX/HNJQIkPoF+/vn43g2PIpB8E1m4HHXSgP3dQqvMvSevOl+7aa6/xB2hlHcViIUWzzJS3bdvm9RaI+vDJFUc69MldQElJdSRNH5fO7rzj0hQSDyAxdnFUTF8pzx5ejis7X7x0QfnSFfI+19Xt+MTDgAWfftbrRL7yqzq3WJ9hZAShK+OgN5aO+b7pcr2XmB9uh7uvkrbj3nvv8WtKyzPPyDrSkDR/selSUMr3BVfv+5KBEqDCR8e/7t26en9lmzZujPwAV69a5a655hp3RKPDfXp5Gij2I6qOfJhGd+3S2X36ySeZGQCUWDx/3bvX+83Dygq9EtdLnHrqyf7un0ziBA+IBu2hXZtlb+XZKPRC7JLjCA8MccYN5GGhXrNmtRfXcWMu3F8u5bzdqWMZGNe+uPbExefqK+baGIzk6yvOcu3lgnF1KT400Ve8QttX4qx1pNIUG+K+Ko40t9Z7RlTa0Lpw6tQHXZcunfzVK9wZxZi+8/bbbvLkSW7eY49F/q1Vx99GMWXedeed/m/9kIMPchddOCbnRX3oyEhz8MEH+TzkLabOYvOkoBT1NdZcXMlACTEcgDR61EiHaAHAOeaYox1nKDBX5RZWDATOPKOFT3fqqae4m2+6yT9XhzuSYj9Im69t2zb7KfU9KP36q1e4cnGeFjYU9ShjZW7Nwo/cH/EZoIEz0ZoigIhNAldMcLKef7iFQgxy3HHHev1dnz69Mm3N1S7Elfk4kHL2NWx7MQ5ZVQb9yNdX0pJORhLMrzholVPqkO+nd++e/kZfK47lW8RBaV0AJXRerA+TJ01yZ599ln/mwr4+fXr7G5s5m8gzcaRr3bqVmzRpkn+uaX1ZCkql/oILK6/koKQbMOE0rpo82V8Qh1eEww8/1J3Rork36eRqbhZvDljyAdZGUEKhzqHZQogF7fjjj/WX6RWSj7SMhyzQAIJi6Y47bvf6OcbV/jv00EN825o1O93xj00Bc8KdS8USQFuIqbXqgfsqRV9l7q1yqzPkTqXt27YVXAXGJFwNDhU7r3h1v/yyib4MxLGAkQwgEB/ij7C6D5TazVoxzwKluXMrrGs5N4cPRTw0HH/8cf4fz8TpTB03DvMNp6BU8GdXpzN4UIIj4PwFf3jF/mP3yAeEdVbSMvjjIs/s2bMS50ladlXTYbyAyyNLgGh42FE7ZtIhZoM74kAxpuMsFDu2b/eGEZhhiyiDxeRbc2ur3uUKGWO8McjQQmk5pAlx0h+lMtfU423j4IMP9Gb2hPwmHhNdvHoDTKedVgFMyPxtP1SuDeUo1MYhTosSHdq+2vSFPPNt0Kawr7r5Nl9ZoS89xk60du2a/crVO8I1a6LfR3FRnFuLGhtbXpJn2heei5LlJ9fNI9qkHsZFHiYApuuvv877oGQTVdVvvjrz62A85/CS1kNa1gfyJs1TinR33H57URtLO88cfkYnllLhI5ABJdzQVIVYoPiA0FkkJZTm5ME8ubbR/fff50237aLLIsDiwV1BLJayguMMkAhFP3nw0oAOoEWL5u6f//x330/6qn+cyQIg4KzyAYLKzhXivLVdu7b+ShHKjvsHQPHvtNNOrQSmU71HgFxlJ3nH+aaQMD23hAXjl19+aaNK8iwRalxh+d7H5YuLZ0OhQ9RKAxcUckLh5YBKW0jI98R5JBFuewSCf/z+u/+e+Nur7SSdcy7DkbAPpOXvhbw1SXfddWcKSjU54EFdKSgFA6KfgJLd6SCygD42ojV2rZY++eRjf8gVj90yIec9llkA2oZXX/XOOdu0ae0PPfIOZTZiC84BiSvAcCLXGSLVCRDJkzj6Oe64igMjGw/XBCDiOgmOqVGjw/1dPJ06dvSHoXGkOWTwIH/oMe5uKLwTqL20J+Qg1UYbsou1AM67pH215YTP+XQ6f5tr321eeVhgo7H7s8/sq6xnxtjqBJNa2oXfAe0s1HBk/MXjvBRDDeIAN5wom4BevXp47xx6V5vDFJRq8+zUrraloBQzH3BD+BWD2JnKYsomF6ekOO2MuS+JMycQ4MT1CyxkiPe4Yh09TNeuXZTNu4uBqxowoL/79de9Ph7HsNp5o0fg/hgOD+LaadTIEd5pLIph/uH7DNGcBZ58zxLxcb6Me6Nw42J1BYgfZkyf7jp27ODQE+KOqDopzrMBQGaJccx3TYdNX8wzXK7Avpj8+fLE9ZV8tr+APhsNe0Cbvnft2tlLJMJNUb56y/k+BaVyjn7dqjsFpRzz1bz56bFv4+640e5bGTFLBpg4RAgBcHhV4GK8kLjJ14pqeI95bOPGR3jrxSOPbOzfU5YFkGFDz/c6o3xAZN8jwsNhJuXbsqKeUT43b97MrVtX0Yew3VG/AVQ8HBRCmEiHXMiWLW8WUkTZ0uJ4tFDCs3xItr+8xxjFWtxhwVqIWXxYfrl+p6BUrpGve/WmoJRjznA1hIIZscvnn+92eAyQqIhdqlWe22LgktjlAkCIfWw68sMphbtcwAzwOvqoIzO3yT46d64bNmyoP48yceKl7sYbbvCGJDhUxfIMRTAg0qJ5s4xRgwWefM+I7qJAKIzDuILD0RjD4OjU6sDCszR2HPQMMIf91TsbFmrJx9xEUS4dks58wQnl02+x8bA6xSR9pT1x7Qrbmq+/OAHu0qVzhlNCRIoBTV2kFJTq4qyVp80pKMWMO5ZsllOyu9WYLP4uJjgEFmDrTRqRHX+UIg7fxl3hgA4B6zB8mp1wwnHeoo5DunA2GEwgduMfz0ce2cSL9DiHxPt8IBS+x8giBKC431joDRo4wHcBkMHrOAc4rS5JgK1+1obQ6vbi2hMlqnvllZe9/icuf030lW8GzgiQ4/vDdRGi1rpIKSjVxVkrT5tTUIoYdzgdzLrxoM0z11CEi5Cu6eZqcYwSpF/SLhmDCPRCgBtkF7d3330n9nwPi9Bzzz3rFx84M/yaoVfAOEGgIvNugRQWSsWAUvOEnJKACm6Jw9GIGO+88w7HOZIePbr723rpo3RqPMMp4rzWUi4OJumhV427LRcjEsvR2HeMdT7CeCCkKKCyaWxfiaf9Vh/0wc6dscYq+NOTvtCWGT5jaHPB8GEZcR2iVryf1EVKQakuzlp52pyCUsS4r1jxnBs8eKC/alockhXBkYUFiKuoWRBF/A51Irt3f5bFTSgtIMbCR/l2QcULwzPPLHe9e/dyo0ePzLKoA4wAIkDKghCcU1LLOwEb+bGwE+AkCREhbty4wfcR798smhhnYMnHYqmxUh+LDRkX6x+ODYFV9oflAvycIcplQBDmKeQ33GCcDrGQcuLSrlyxIuuVnOrCMXfp3MlvYADje+6521166SVZaevKjxSU6spMlb+dKShFzAEOLvElJora4WOhBYeEnoGdby4KjR9sWg6DWh9ol1020c2dO8cdfvhhWRZ1gAiAZMHIAgzv9DtJCJAVehXA+Isvdrs+/dQ3344JBzfh8ODYMG9n/DCKkAWi7W9te8ZEG0tDkRW7Kq5cIeeP2IjI+wUGMt27dytXc6pUbwpKVRq+BpU5BaWI6YYjeOSRh92/zBXkKMXhgtAXsTNHHMeJe4iQd8RLDEV60iCm+eijD/3OHxBjx0+cdDGcoWGXzwKEEp4L0aY/8ohf4C0AhSK8EHgK4ZZY6DiLhAFDEg5JaXp07+bQeVnCAAQCWOknHga4hqTp0Ue5k08+yQ0aNMDJ44TyRYng9C4MGZ8o56aMIYevq5PwnGA535BbDg+C/v33X/uJ5TDnTyKqUz9wsGrBnDvGli5d4jlzdHl4GakujlBtqI4wBaXqGNX6WWYKShHzyoluFldEbywAEq8BHBgpoDdCyS+rMrs4AjrsbKVLCi28WOgw6Q11Elu3vuXefnuHvzgQX4CAjIAHcLK/FW9DpSGdBTObhmfADa7quGOPcS+9lPwq9Dlz5vj2kJ87bhBVirAyRBwpyzaAGc8ew4cPdYwl14AMHXp+xhOB8hUTys2Q5iQsAxDJdRA2TF/IbzvPYT7cS9nDxOH7Yn6z2VmyZLF39Mv3BqH/QmRa1ygFpbo2Y+VrbwpKEWOPcvyIIxq58C4ixHTyf8YCBGAh5tPOH44CvQqLNHoRrO5C4r0WGN5RDqJA4vHgPX36dIfzVKsj4tn+DoHG/o7SOwFSihe4Ud6YMaMTcUoc3IX7oRz+nXzyiVlKfMBZfeKOKfz9AQyINq+88grHFepXXHG55wLD8dB4hvGF/o4686My8FloiXkK59a+L/SZuabMfFRsX4cNOz9TNON73nlDHJuYukQpKNWl2SpvW1NQihl/vDngasjSu+9UWHLZBRBxHouyCG6BBQ8RDNwSoANXoVtR4ZLeeGMfWJEfncyxxzZ1nEvhDBAAZUGoEFACoAAO8qDjAYT4p9+8E4jxjDiIRVsiujDEL2GrVi2zrP/gtGRlSN/pJ1wkfRHp/e233+b7g95mQP9+3lBCaRBv7tpVoaNSHGG+Q7eaB5uHZ8DBir7se8uxFgsOtrwkIGTT8/zJxx+HUd6HHlaaUcQ5JkTJeH4XwU1PmzbVDR16nqLqRJiCUp2YplrRyBSUYqYB/Q8eFOB6kpI1LbYHLVGmAzi4LtKiCfBAr77yijvjjBbu2muuyYj8EP+JowFAABQ4HYFJ0tCWQR4BlM1P2Zxzuu3WW713bIESV1oAInBIjIPNQzn5gENjhrcJEV4sAMq4RVjpcoUAeBxxmWEuEVtUPhlu8M6a7fOb9kr3F5W3OuMA+A4dzvaHp7H01PfCMw5hGUdEhnWFUlCqKzNV/namoJRjDtCHYEkWunXRAqFQXBBFESfdikK8ILBYaoFjpw5ngaVXr549vHGE9RaBCXSbNq0yQABw8M8CQ5Ln0CJPwEZZIcekOsjDgscdNxePG+fB0qalXkDpySeeyBo5jYVC9CGA8fjxF/sxoc/0a9q0aT4uK7NzXhyIc9aQ4vzcwY1a7kf54NosJwQAfvPNPv2X0im05VuLQr1XuKLy8DNGC9b4Qe/hYOw5JeJJa9uitISMTXj2jQ0LlpocCeAmY87JsUngW2Fc4Urhunnmcr+bbrrRFlmrn1NQqtXTU6sal4JSjumAS+ImTKy/QsurqGwsxCxMOruEUQP5ZH3Fe5n3slj379fXu+2hrI0bNmT0NOyEMdcWpwMohACTD5TIA7iEgEK+c/r09jfRUj5gBFgR8vvoo490AwcMcLfecou75eab/dUaAjPyUt4BB/wz04984zJu7Fgv6gMcWIT37v3FcT8QfYSKEYNFjb3iEOHFeQVXmjBEp1cTlKSvXFUxYEA/95G5CJExZkMj7pRNEgB29tntaqLZJakjBaWSDGODKCQFpTzTzFULZ53VJisVVmvsWtmpb33rLS92Q8/Eb+sXzuqeKIAF0xKmvsSxKFrLLXbC6BO4mgCwEHcSBTBx4EQ+rqO3gCJQadbsNHfnHXf4m4EHDhzgvVf063uO4xpo4u+6807/jzNHql/1UB4iObi/kLTozptXccYLV0T4D4SrwUsFxGIK4IVm4rxDZJqUQu5VZSfNny+dtS7Ml7bY91H9xSgEzw2h2Hjz5jd8HOAElwV16dKp2KprPF8KSjU+5HW2whSUEkwdynr+qF5+eb1PLd0DiwqWZiKs9sQVEceuV795Z3UALDp4LbCeCiT6YsFFJ4VeYfjwYRluBk4mCTABHHBhOGxFDBfm4T2WfheOGZMBIAER4ZTrr/fXYYSABDChX3r2mWfUZX9wWFyPzLSxRpSoEvN2nNKqb6Rd/9JL3kw8U0jlAxyBDCTCd/zWWOpZ+jl+M572PXGUxVUg+bg50lqi3Lg81JOrjdxaq3GAU/7eGH/YOniO8hJxySXjPfdo9ZNwmGxc2KjImITxDDdLYfm16XcKSrVpNmp3W1JQSjA/Dz/8kOOyOxkv4KxTFne/G8s7FmJxCyqWxWPp0qX66UMWPRYkuCMp5tEbQCxGmFfrN3ELFy5wTZse7UV4iPFCkBEXQwjgcOofMSJtWblyRaQnCMoA5I45pqnr1rWLV6jj2ujMM8/wYj/KseXyDEhxGaEI4w1IgPNGpQm8HRPM6Dt37ujY6VsaPHiQB02Bl32n5xWB+x3FJw1/+eXnjJgxXx7G3G4a8qUv9D1AFQVCKoer0OGauWfLgi3v5UEe8S+kb4+7ruoKpaBUV2aq/O1MQSnBHHTq1DGjsEYnBJCwiMExsZCxe2Zhtu5qtFtG8c4OVwu3quMiQBZkdr5KC4dkxXgsToDUb7/+6svAdBvz4IsuHOMBBZAAPPjHM4DFnUzccCsLN8rGKu2MM5r7NBbQeCYv+fC+QBgFRgIwgIS2iDgkq7bTP8ZEZs/SndE/RJqImgRa5OdKhp0738/qr8pNEjL2hZw1KiRtkvrx9oFHDEu56mCcLFds89nnDh3aZ7ghxfN9iTTefCdsIOoKpaBUV2aq/O1MQSnPHNxyy01+occDAwDDwgMngKUY4MQisW3bVg86ssoinZTSpLdAwy53S6VoTlwSZeOm588///ALkkQ0LOxfffVlpoWAFECAToE6uP4C60B85aHngoNDhKV2kJG0AAZtgGu67rprXf/+fd255w7xIY5UMVVn4Vu2dKnXFx133DEe9A499GAvIsIjA1xiXFuo5+uvv3I4ElWfcDmETk1tAYBHjx7lpG/C47is1Wgb+jhEZsqf6XTMA+MaZX0Xk9y33YIGddnFnnZyNQTEnFrdIHHPr1wZV3Qm/pNP9j+HlHlpHmSVGYobsbabdOUVmZR8K2wu2PhoU8O3wtkuRMdYaNYVSkGprsxU+duZglKOOUBcggWbFaWRHJ0IxPvQXRDxKPHlA0+Lic9g9CKy+OI9C+TqVauUJCu03FfWi8ofeJVA54D+KiTAjTbCYYXtIK18qKktAI/aAgCGYqQkbYkbk08/+cS3AZHhE0887q/mkMIesRUGJSGxGNuFm98Ce5tW3IPi6ENSYnEHlGuS8MoQRRiWrDTgR98Bc80PeeDO3t6xw99kPHLkiKhiamVcCkq1clpqZaNSUMoxLcuXL3OTJ0+KTMGCr523xHckFEgBAiEQsAAiuU86XgAAIABJREFUopNoi/SIsL41iyjgokVWnAS7dj1HNQZRoEguj/hNW9QGcV9Kx+L+xRcVfvoUh+GFbYt29LxX/TNmTPdGHywy6HxCKzjVRx5ZHzJO7O55h1UbYsC7777bc3gWdNQOheKy9DsuhNOyxgcAoyVtEGycfUa8WghhcSmib3EgCIhTtvpIyJxwKPeBB+53GDVgnXjBBcNc+/btPEeucWZDwNhiLCGiLrhyxv60007JzK3e1+YwBaXaPDu1q20pKOWYD0Dptttu9Sns9RTSDQAykPVDxgL4c4T3aqzOOCDLQsMVBCIWXriEJ598MktHwQKOiA4lNyIcmWCrbvKzcKldtMWKeXi/adMmVZMJAUQd9qVs2xZ25XFtAcTQS6GIx6IO3RYXELZo0cyfqwGYaUvUmBD31KJFmTbgOufxxxd6p7eZyFr8gGhVYFFoMwElxIx47uDM2yGHHOzOP/88N3Xqg+6BBx7weqaQI/1s1y4vLuVb4UCvBXo8bXCwNg4IC21fTaVPQammRrru15OCUo45fOGFF7xJNkksd/NDpXsX7YDF2VgRGqbB/CFioYYBAAADIbJC/zNmzCjXq1dP78OMRaZTpw5+kZdlFWXzj0XNGghgxIDeAU8Qo0aNcIMHDXRdu3b29xjhlZvrsvHbx1mgWbNmOjgbq3v54YcK1zToT9h5i9PRzbm6YE4LJXqrc87p7QYO7O+wEAuJvi9bttT7x8PaL9eYwCVhoMDlgAvmz3eckbJUIaraXwxp01iOyMYX+1zhSSObUwoduMaVzRyLAIkooIBz7dfvHA9EuuqCOOmzGD+JMSmLORHnRry81LMZueiiC133bl2zdHuqv7aHKSjV9hmqPe1LQSnHXLDoYHmH6EviLxZ4dq7WJY09UzJ//nzXsWN77x37qaeecjg0HTJkkONenJ49eri+fc/xV4lr8aZ6xE+LFy/27nc42Ipoh4O1GCFwr9PcuXPdLbfc7IGBhcmCn20+uhnauerFF/3Cj7uaRYue9JwM3rrhZGgr/155+eXMFe4sjDiJff211zyng87j7rvucj17dPehRJK2rvD5yy++8OAlkR8Lq3b4AAkcIaDDgvzUU4vcIw8/7PV1AvSwvKS/cROkhVt5aK82AYoLQ9z/aPEP35Xq98yZM/3NsXBFImtAIc8fVsfEd8H8AkKMFZsGHAOzMXj++fzGFqqntoUpKNW2Gam97UlBKcfcACiIqqIIIJGhAO9RULP4Nm9+uueMtCuOyhsXxyJ53733upkzZ/irr0844Tgfcg024IR4Lh8hKvuu8u4dmxaAQ4cBWR2U0iBexLXRiSee4E499RR/NioXYLB46kyW+so5J+tLDsMJcX7Uo/ECuBDhYX4u8aM1r4YTtZyp2hiG9FUm6OG7fL+p17YtX3rmAALMcp03UjlwyNxZRT0Vhhzv6ZXXC+kHwA13ZEnzw/hzd9IFFwy3r+vkcwpKdXLaytLoFJRyDDum07KKE6fEIiMOgKwS4WABxxkhu+vNUbQXY8lDRK50eodoiMUtJIl+8BgBcY4oSoxE+7imAo4JkdXTTz3lDRWuvmqy594GDx7oZs+elQEOOEIt2pTHrj0f6fI5FlXqo70eOCo9orP4IsqELr54nGvU6LBIgKQ+ewBX9cI1IPayfbUcp9JFhRJPRr2jrwLHpH2NKkdx77//nuvcqaMfS303vJPBBfopQFfzZNsmwOMbgyu+5pqrMmb1Kr8uhiko1cVZK0+bU1CKGXf0H4hMcIxpQWjHjn1uhaTfwGQcrgARXS5iUZVLnlzpin0HiLBI5+Iy5syZ7Y0TOnXs4CZOnOAWL346EuyKacONN97gMA4RLVmyRI9eRCkwgSvCQg5z+2XL9qXPJE7woL4m4R4TFFflJIhtRbQNgEZ3KNK3IvGv4sVZ8o0JYBkbNjj8qy+UglJ9mcnq70cKSjFjPGTIYH+lNyInlPMyM2bhkD4JncC6desyJfTu1TPzbB/Wr69YnOAeuK4CqzUOkiLCwgJOhEgwF8kIwaYRp6S4vb/8okcfSm/BD7iML7/8wsej26BflmTcYOPCZ11HHsbze+3aNZ4T2/n+++7bbyvOCsEp0AYBO3UAzownV85bt0W2zC1b3syYxise8Bd3QVzYV8ul2r6iQwv7CgeXhHL1l/nctGnjfsVgmHLeeed67kvfDWNgzxvBNdEXcVJ8U3BQ33//nT/gPGjQgJybi/0qreURKSjV8gmqRc1LQSliMl588QV39tlneWW5LpVjUUN5ziIi8GBHjP5GZtpYvbEwrlr1YsY0WsVjes3ZkjvvvMMvTpzxYXfdp09vr5vBA0JI6C/sIhwlvgvzFPsbsOWf9ahg644rF1DVAo8OBG4RjxVwmjKjhjvQAWS8TgCkiAM5xyNuANGerU/WaXH1ViX+559/8h4bbF8pz9YfVT4gJD1a1HvFwf1w/QQkMORbYQysqA7dGmb7XBWP4102QnhrD288Vrl1OUxBqS7PXs22PQWliPHGPPvRRx/1OoFQCa3kiOGshRcLMpZ14WFbrOpeXr/ei6oaN27kxVWk5aAqXBZAhrVeFAFK4cIZla6QOHQWUVZnpaiHviIeHD1qZKZJeCoHtLiSQcShWhZuLPY4PArRplK0QXUQ0lc7R/ZdVeuir3EE2NrvAC7JtoMzX+iwuESye/eu3tM8h2Qx9z/99FPjiq3T8Sko1enpq9HGp6AUDDeHOtGNxBGcEjqbv/6qONsisRTp58+b5y/PC022OTuE527ODjVp0tj7nONsERf9oWtgYb73nnviqtwvXgpzvYAjsWI6xcOhiLuK4gIAvTgK61C6UFxoRVKkoT4un8PPnkhcEuPGuSf85GEivmnjRi+qUrqoMGwH+eL6Ku6qVH2lPba/YV/VXjYZEtESd99993rdGt8G3BXXZ0AS1aF/BIzgmgEnNj4ffviBP7iM2K4+UgpK9XFWq6dPKSiZcUXPgtcCdB6I6MJFiHNHIa1duzYTNWvmTG8STn5LHJK98YYb3EUXXugBD5Egiy2+yzhAyq4dD91SdNsybTnh9Q/2XTHPhfh8w4AhlwGFrR9OQGI54uEq0SVJ2a+0U6dO9Qu4ftuQc1qlpEL6Sr3ox4ohxHunn36a9+AQ5mezgmFGu3ZtvWUj4/L57t2ZZIj4xDlmIuvJQwpK9WQia6AbKShVDjKy/hNPPN4BGHt+/NHHsoha5T86AEyaLehIb0KG2267zY296CJ/xsfO3dCh57tRI0e6M89s4UU2mIKza9716acemGbNmuUvz+OacLxoz58/zy1YsMAtXLjQPf744xmwEsdhy456tqKiqPfVHQc307Nnd18NXAtjBOBL9ySO4ZRTTo49CIxoLwmprCRpqysNnBKEXrBlyzO9Tz++J/qNbk3EuKBDBLTFTeMTEKIfcHopKGm0nOP8GxaaAFpNEmJVebMvtl5EuHguSanwEUhBqXLMJkwYn7GkY1FH9GLNjQEjFh9xMyiwZVmFmAzCDQ/3BMlfnqaDMzlYY8E9wE1Zs/Cz2rZxbVq38teQD+jfz995NHrUKO9pnD/Gq6++yh+glXGFyswV7t79Wa7XRb+T+XK+AgAgrsZAzMZiy9hhTYd+SYp/TOtbt2oZWVQhfdV1E5EFVSESAw67IYkrim8FzxfcbYSxAu2hv4Cxzj7RH74V9GYsshBcL8DEBkciQvLhfqo+Usop1cdZrZ4+paBUOa7oQUTsZFlQrb7ImhsrnX2vOLxACJQANUCMA6sYNSxatMhzS+gZROgWhg8b6q8lb9umtUNEyCFXrNgAsB49unnuyno8UN5iQlkTYmEYRZwlYkcPYSmXlNRXpWe3KXEnHB6uf7RIk4YzTDfddKOSZ4Wl7mscmNq+4hlCG46sxsT8kNcFOJvQh1/ct8KmBlASx/j+e+9lxoQx52wT/grrI6WgVB9ntXr6lIJS5bi2qty1o3RmR/vjDz9kRhyxSngmhpfWvJffLLwYStx9910+L2Whh8HElzjEgVyyh96qXbuz3NixF3kOisXoiCMO91eSk5EzK9zJxFXlRx3ZxN1wwxS3YcOrGVN0X3ilyxs9KwzbFLfbr6rYi92/XezVV7Vj0qQrvfiF3f+ePT96T+e2Ts5oYRavM1/4xZOhgsqwYZRRRtK+lkKc+fbbOzIm7rQLV0ivvbbJA4m9jRf9YK5vpUmTI7xhAxsfOGZxkv379/P+Da042Pa/rj+noFTXZ7Dm2p+CUuVYc58Nhx5Z/FjEdPZIU8EijNWUuBy5g9F7hciR5SdNcRx6PeigAzP6hT59erljmh7td83NmzfznBLXYHfr1tU1bnyEt+KDU+O6Bzga3P8gFuQmWLgoOBAWr6iL8VQnIfqMQnb/Nq+eWTitDi3fOR3Ec1ziJz97lBMaSHCNA9wjPv4AM4hxz9XWJH3N1zb1KS6knbavtC2K61F+jgCwebAcIO/4VqQz4rdcUfHMBoSrKSDqQ29y+OGH+jHzkfX0vxSU6unEVkO3UlCqHNTbb7/N6wRY7LWjl/dvgAidALtg6URIE5oes4jhryzq6oMVK57zwPLwww/58KrJk73Ibsr113twwpwc8Q5XYnNwV1eQyzMCehoWbfLzDjEQHswRFX5VqdOyOrDwW0FktGb1ah+NObvET2E6FtgQHAQcShvVP7gcwBOxI3ow6dnIw9XxEAv8L7/87H/jvbxHj+4ZUaHKtuE33+wzErDxPCftK2lDs3KVlaSvAIc8nyufQm7RZV4gXcZHer4VcWf6lvSt4OkbQMbYBa8egFQu4FNddT1MQamuz2DNtT8FpcqxRqbP+RLuvmFBtfqin/bsyQCVpkbghFiNBV+ipIED+vv8iKNYoCzB/UybNs3169fXHX/csf4OIjgkLNWkZ6BcXButWrXKi/2wyBs27Hw3btxFbvasWV4MxlUIiP6w8MF7OKK/v//6yy/UOhgLkIbcXiga0kJp2xj1TNusGJBy9JvzNWPGjHZ9evfyu336DYjJyIFn1UNa9EsyEEGndM01V2eqBLw0rkQqH8+qT4kBJfWV9lRXX6kvHDcuXeQfGwPAR8DDdwLpt9oK5wRJVIlokwPTSZzcqoy6HqagVNdnsOban4JSMNZz585xQwYPysRyzxAUcha6riGT0Dkv+uFmVohFM5c4Ca4Iv2noVZIQ1mCIiw488AB31llt3ZNPPOHLxzMEi6MW6CRlKU0ImnHtZVEO32E9xrUexx57jHv99YoxojyBs+oA7MVFKM6GWK6F4i/7Xs+6LVe/Cw3DvobcoMqjr7iJsgTAr1u37zwanhdktGBBVCATfitwv5ZYoNEtNiRKQakhzXbV+pqCUsT43XzzTZ6bee/dd/3bKFERhx7R2cARiFioAA6InT1K/qoQC6d0WCpn7Zo1nqND9MWZF8Q/cXc+KY8N4ShYeBE72QU15AZsnvAZzokrvdGfWaU+Z4vkRULiK/KKC1Q5eHRA3Ldj+3Yv8uN2XLiisK+6f0n5Cg3pK2Ad5ZC1kP6G8w+XBMGhcm+SuCXCsA+AId8B34qOAnAwGHFxQ6IUlBrSbFetrykoxYwfepsRlZerIZIKCQ4ArgDjB+308cSgw48s+OGO25axfv16+9M/f/DBTrfbgNx+CYIIxES46hGxIw99uiE6euzRR5WkJCH6LzydRxFWahC32Ip0Dke/EY1KPIoJvawV9T5JGNVX8klvlqSMpGlC7m/nzve9OyU2A4hPLcCF+jfq4D1laEzIw+3CDYlSUGpIs121vpYMlGjGsmVLM/qCpM2qyFNx+DRpnppKhycGOB90OHAAABFAoB0vYHTrrbe4USNHeA/PJ598ogcizH2TEkp4OKwkFC7uyhMnitJ7hfids7oZFtC4vJi3q5/KTwjINW16dIZD/PzzCjc5Vrz37jsVZ52kQ2HMAEvy0gcs3OAgGL/zzzvX68ZsHTzTLtzuhGT1TOE7+7vQvibZDFC3bRPj07792Y4NhjWm4FthTgFeiQ3JBycFOOkmYdve+v78+++/ea44l9l/OAYynikkT1hGMb9Tjw7FjFrp8pQUlErXrNpREoA5ePAgf34EnQ6mvN98/bW/roLFdciQQW75smXeMAHA4qAri1ForWV32ixSoc4h6UILJwWJM2OhC/3JaeS2bs0WzynehjhPlUslxb/1Vjyg0rfnnnvWoTez7nM4swPHSL8RZwJ2vGdRBlzgFAij2qrrPlS/QtILuIijr9bMWukIo8Rz9j3PhfaVPOG80J5Qd4dZO8C0fPnyLMMFxuTDDz7wAEzdABUghi4OjpoNjAArbGv6u7wjUE5QwtgKHbH1Mq/RwIEz70pJ4mBLWWZVy0pBKccIoi8YM3qUe8l7Y3gyk3LJksX+cjp244jP4D5QXD/44IOZNFV9QAwWJQqiXBlf2DpK7azVlm2f4QyjfHqhT5JIDvARcJJX8Tzjz4/xknsgbp4dPGhgFqdh6ytnXy33Z9sUPrNBwYwfAxQL1qTjmg4R6cSpssCwAKVU+0ag3KCEw94WLZrtNzAcuE9Bab9haVgRnAGaM2eOvx0W3QdiKdGFF47xCwyiKUCKBakqYoZFT+4DPerAOCA0EFDd6DRCigMw0mGKLZKFmH7nCtnd//H771lJuDn3lltuzsRJLJWJqHwQV/R7pQgO8/Ww7p9/+slzEGee0cLFuRYqtK/2bFNYX9hG+xvRos6l2fhCnjFgOPnkkzxXp/7b/IpjTDCIwMWUPaxr06bP5RuBcoMSRkRw3/z9ibD+xHdmCEpLly71emwuirQWqlyXA6fPmcGxYy/0HDr+J/HDedllE710h7LFKfH3ybk5ru3BEAnCDRfWyMRRN98sfyPXXnu1r5NyXnyxwlIVwyn06bhToz7Sh7csxLVVfVSYckoaCRMi+8ciDK/eED7KrE8yRFUXXDDceyGAm2re7HTvy01WWSoKl0OlIu2wKY8FNAnhOQGSgj0uz9dfVXyEce9t/LPPPhNpzsyYQNYdEFZncSIqbqf96ac9/sPHghAvEKKq9BWxXy4qpK+Uw8YAE3BLiOHi6unRvVuWgYu4RI2LHROsC/HukVLtGoHaAEps/Kyn8vPPP9c988zyLFC6++673ZFHNvGbRMTgeAbReT2euTASCQ5WuqeeerJr27aN12fi55N8FeL453yZXLeCrvOUU07KXDoKEFLO4MED3bRpU/0kNWt2mgcf0uJkGpBEnypwO+mkE3w5vXv3dGed1SYzsVFttdKUTELnXApKlaMBEPERnHfeENe7dy/vLFTOS/H+LZEVVnWPL1zodwJdOndycEzoUv7844/9DBYseLA4210812BDFfqG/Nc0WEW6JpAFE2/bluQ9wcbFPWOIQL9D3UlceuJZ1Pmg49z+yAyeA7IypYZjwXCCg7OMFS6apHtiN8gfoAWluL5qV6b2VXdfVU9o5m1N6Ukj4OF53NiLIq9aYFww9rDcG8+4lsp1i63akIY1NwKlACUO1TO3WGgm+ScvKYh04ZTwqyhLXnxHAg58P+KUeD7ooAMyZwQZHdYowAsiPeoFCH03xxfESW3bttWXw9+ewAQdNMS3zpUynD0ElPDTKeKd/Rvk75g2cKGnyhF3hAQFjyfUHddWAZ3KV9jgQQm0xqsAV6CjXGShRqTCAspuGO4H66pLJ0xwOBFFyd/4iEau/dntPHuKubiszDSoHIrV6X7i5IpG73OFXO9gwSxX2qh37H7iaNvWrR44pSsJlfZx+Yhnp0+76Ct/ZOyUIAtoarfGA8BjAefj18INF8S4Wk4DDwfFXOqXpK/yVF5oX+kbm5GQEF+K6IPtP/EYPiBKEWlMEO2Ka6QtjBHjAng3anSY27s3/hZglZWGNTMCpQAlxGE4UsZNWJJ/+j4FSvydwL3wzSBCQwwHCZSQTPAc/jv66KN8OkDJ/n1wyJ01DWIzRz7EyYAJgGUJ/5ocWQCUzj13sH3l47l3jvydO3f0oEQZAiUr5aANv/2GYVd0W+HuoqhBgxJiGAaYCZDHaz4m6Ne9e71slYlhwHELg3n48ccf50V5TLg4gaiBrWocnhos2eu2bXyu5zhrNfLAuUS1n76K7HOob+ncuZPXtSEu0AFiifBkXs1uC24Afdf333+nYjP+7khPWv4IbF2l7it6v3x9FcjSyLCvmYYnfEBUgmwd0piwy2QcdKTg+ecrDt2Shu+K3ynVjhEoFShJulJIrwRK5Bk/fpxDl42VrzZxgAGENIFn+cYM6wAQLOUCpQMP/GcWgOGx/oknntgPlOCMjjvumMwGkzUQJ9H87fJPbVO9AqV8bVV6hQ0WlFgkYa+54wj2Eo6HXS0WUiLtNLga+/jjj/W6I4GX0hQaInIr9qpt1RUe5pWYUe+ThLDw6l+S9GEarAMxa7YGFrDq0Dtvv+3Hk2c4JFh5cUpsBBBj0mbFoVOKG5Owr9a8PmxT3G9Asyp9jSs3jAfo4SgRZ3DHEly4xoR518IC10Tf9RtA5KbhlGrHCNQWUKowoGrjunfvlhkYLfyI/U844TgvteCZTQ96cInECgElyiQvXA7gAoCxiQs5JW4saNnyDP83T31YG5OXozO5QCmurVYUmOlgQ9UpsVAgK2Uh0OFPziGJxErrN2a+3G0UGjLwXgsrz3EWZConKrSAkjS/zRNVZnXFscsX0VasbFC+agwwf7b6Fi7y4x3Wf+IYlJ85AJwQWx3ZpHGG29J7hbWlr2pP0hAFc5PGR2SOCWhcJMrEFF5i1DvvvMObyictO01XvSNQW0AJcRuLPtZvIoESvz/66EPXtOlRPg3xcDE6klAIKB15ZGOHYQJl8G/GjBm+uhCU/vWv/3AYOigddWMYAaDlAqW4tkatp6QtKadUjHcG8vCHWpMEWz3hkkv87pnFIjQ7ZgdrnYhiZRLFIbGLJy07Yi0wUf2QKXCUpwfrosbmDdtk3+V65u4mETsf+e9TXFVCDg/bvmKVeMklF/siAR+U+dzgCkl/ApCJW7DcCvE4o8Us+sYbbvAGF4W2LeyrFLuFlhOVXnceWTdOYbrvv/vO9xNdnUBHaZhX4vGejqktegGNCd+NDljDnbNBklNb5a9vIdwyFqyFHJsgbaF5SjFu5QQlvmm7gUMM/MUXn2e6xeJvSZw5XIy+L96H4mD0o1prkG5QDtwOOlHyKs76m/zhh+8zxhGqkzrIS7uYU9bF999/z5cTto026G+f/HFtVdkKSwZKQvXHHkvuZ03WJMhNa4oQ26EPYYBYGBG5YNhguQCJVWgT8n58lYnsmR/FFRui5LbiQluOHJ0CaFrA7Hs944HBLvaKjwv5kHKRjBRIQ9q49qmMTh07+kfONvAHxZxC7OLgnOxHSVmWq0L8h9KVxYeFOl9f+cYKOddTSF9pcynnFuspEYsMxjQtmjfzlx/a+bzt1lv92RGlra8hCxY77Cjv+nF9Ji15wsUuLn2p4ssJSqXqQ10up8GB0pQp13kfXAsWzHdvG5GdnUQZOzzzzDPeW7h9xzNGEPkIYIMDZOfBLho3NOUgdjF2ESymDX/9+WdsNsznRfQVoAXoQ/r0k0/8O0xfAaarrprsLzQM01X1d5Sj20LKzNVXlcPcvvLKy/4nOi67Q1WauBBF9siRIzKvOTPCjrW+UwpK9X2GS9e/BgdKRx3VxIMR4rlvv/nGj6TYWH5oZ49iunWrlu6Lz/exzhp2y14rTiGLrwgwsiyz4qNCuAgtTqGZcVT6uLgoMaLMkuPy5IpnAVa7wnSAUK9ePbKixQkRKRc7iAZ27frUYRwBKGFSzslyxIul7msoRstqXJ4ftCWur3wXsiqkGKULDTHCKviO9L2ory1bnumTAd69evUMs9TL3yko1ctprZZONShQYhFt0uQIP5AcbmOxWLlyZdbAYr6ICAuLEcsFZCVyzovMrHGE3uvwqH4rxGVRVQkRIxwebbO0YcMG+zP2mau4WSSjCGu8XIS4MyTEbVx/LkLfpPJ1GI93xD21aJE/28TBQNqRj1iwMaYI+5pUfJerr8x9WK5tT1S9vI+aW8qyZ9JsOXHPrVq19K/41gYNGpA5PxKXvj7Ep6BUH2axZvrQoEAJxRuKeZkVowOxh73Y5XPgk8WWc0JDh54XOwvk+6Xysre4ROFZI9IhTrOEPiip8vevv6LFaNZLgMq2uiHF2UWV99q58x4/dLnIjpNNh1sdEWIs6eOk57JnpRDZcVC2Kv21fVC98tWl34Q2He9tX/O5GkIEmYvop6yclA6u29ZBfNTZKDZCbdq0zowBd0lZnaXKq29hCkr1bUarrz8NCpTmzJntxowZ7Tmh0E0OiyicFIsvrjJQ1Hfr1sVxkPPHH37wM5Dr0j4SwDlZ8VE+0Q55EO+F1oco/8VxFDv1+ZT8ce/F/bHAcqYojkgHGF500YXeSIS+fvbZroz+CrN6ifIAecRfpLnl5psdfgNFpeirRGkqMwz/jtHZ2L5a0dx++f/+23v1ULxEvPodF2KZZL8Hxvzggw90L79cccEj56doA6a89Z1SUKrvM1y6/jUoUMJBKmdCQuIsjBY26UFIgw4E/03yUxfmq87fgEKUfiiqTgAAs86apjVr1mSdoaB+azoPV2DBD9CHhg8f5q0fbXuTGigA4uXoq21rsc8cFsQpphWVsvnBwsyCV7Hl1+Z8KSjV5tmpXW1rUKDEYtCkSWMXdV6Ig1xaNGU9RogOAzc4N998U5bsn0WkUHc0AA1nWwohDATCBavYM0yF1BumlaNFG8+hOc58oUuCZFbPJYaAPHobOD5xTBg8IFbjYKlEqLa82tTXXDon22Y9h+dCFG9DPFfw7QGsiAAl7gOUcLpZnykFpfo8u6XtW4MCJYYON+yI8ELiDAyLhc7M8B6dwEeVZ2swD8dHFH7ychE6FXtSGWDDOIEFHM5Hoh8Wci3WucqLMjDIld7e+WTTSddj4/QsvQ9njATMepcrxCCA8zec7wFwIERx5/eoAAAgAElEQVR1Ijw6iLAA5H4WCEeMUSBXk31lngvpK+22B6rVr6gwag7YwPTr19eLau28v/DCC16kF1VOfYpLQak+zWb19qXBgdIvv/zszZinT5/uLejkTJSL1/DmrQWDHT47fxYuOBWU36ThxtC2bVu7+++/z721ZYvXk+zYvu/6CHbAABycFTdFNm7cyF9zMWvmTK/kx4/V1AcfzIgLq3d695Vuz1aFRgvhb3KFZuQAFgur7esnn3zsxo69KGPcwBgxZjvffz/jKJLfjLHGlbq6dOmUZYiwr5WlebJ9lcGFSk7SV9LCySFu0yaCOOZVxAamEOJs0ooV+07jY3kHp4R5/GWXXVpIUXUybQpKdXLaytLoBgdKjDKiJUADbw1WVMcCZHfD6EPkew1gwjKPRZYFe/myZf4aC64pQMdBPBZY8+fNc2ec0cL17dvHX/P90EPTnHzpAViIrzC46Nmzu+cuoqzk9CWsWb1aj7FhlOUdibdt2xbr6cFyM3EFh6JJ+h8uxCzwmM3vqjwsKzEjnBfWaUqPIYcWdA6d9ujRfb+2sUgnoaj+5nK4Ku4sV9lhX0mbT3yn70bl0n71l7gPdu7MGKvcdttt/sAsY2DFlhykxSlwQ6AUlBrCLJemjw0SlDR0eHPG0y7X9GrxWrVqlbfAW7t2reeSJJZSHoVYpgFSWFKNHHGBd+HOhVdYV+Fld0SlhRmgFnW2hnNLcF1JCXGTFcH99uuv3hAjLj+cCQBo88SlLSYe0ANsuWPKAkpYH/dDwXUiwhSdc05vPUaG9NUaeeTrq98QfPttVp7IgouMpJ8YdRRDc+fM8fcldevaxZ1zTh83ZPAgx+HZww47xPv9K1RkWUwbakOeFJRqwyzUjTY0aFBiip5++inXpk0rxyHIJMQCCMejM0MSSykvu2EAC/NnFP5y8QN3BfcA+G3ZUmGVBogV4m8NECyUxL0Ukg+xkm0XlxbG0fbt2/ztuzosq3FhnETikhg3xH2PPPKIXsWGNn9souCFFbUFr2J/FtLX2EIiXiA2nDp1qsMD8yGHHOQ5c67nwDEmxwwkNo7IWi+jUlCql9NaLZ1q8KDEqJ555hn+sKxGGJc/FYr5dxXlQ91iaiPhqCwBSBhHhDoZ0kjkI4/QDz/8kJs+vWKBXrz4aVtMzmfEiosWPRmZJsnZqMiMCSLhGmUUYZNfcsl4b/CgONpnwZoxQdSHTuX4444tiOsoV1/pC17MrUhO/VMoq0P9VojoD66oXbu2fsODg08OyTZkSkGpIc9+YX1PQck5v6A+++wzfuS4yXHevHluzuzZXp9kFeNwPYjErDjOLlriivDcLWLHz66ZxRyLM7gl6XS4VuLyyy9T0qJD6Vk++GBnpHNQgCrX4dBiK4a7hBP744/f3WWXTXQXDB/mvYrbMYETQfyFDg+xnR27Yupl/KG4vsItVUdfqTO0GAy9c+DVmiuiASOOEbRvf7a/5h0rRYC7IVMKSg159gvre4MGJeT5WD916NDeH+jkUCeLyRNPPO53yfbQLIsh4CKdCYux3NHIIwPWaIAPxhKheIaFSQp1dCYQN7ROnLj/PfVxeqy4qY1b6AVWYT4MPTZv3pwVrfuDsiIL/MHYTJgw3hsydOrU0Q0bNtSPK1zD1KkPZh2kVdGF9jV076Ny4vrKe6vz4jftLCVHCVfcp09v3290iFx8yPUo3DcFMd9Dh57vnxvqfykoNdSZL7zfDRaUEKVxuVrUuSMOOFozZoYVxX5IVkSldyxELJyhKTLvWRxtHnQOj87NvkuKnb7ltFQu56RyEXqKQsme06mqwh2OUIBNOxBhIbbLZcVWrr6K2yp0vGx6C+ozpk/3xguIGmfPmuWtOi23SD64poZMKSg15NkvrO8NEpRwN9SiRTO3ZMni/UaLnTviJvm7IwE7XV26ZzNY817iAToWYgs8cFTs4lmAEWVZE3DMga2VmS27kGd251bMaPNaE3cbn+vZOhK1hhJwF/YWTFsGY8aiXN3EmMf1FaAotA22r+FGgo0I8xZF0idhxMG3dMcdt7vzzh3iwyhuTp7Bo8pqCHEpKDWEWS5NHxscKC1atMiLVrTYSHEPF/PG6697n2xYuX0e3KOEiAZfbvKR98470edqsDATceD09dde86bl1iBi8dMVRg3jx4/z+is56FS+fGEcV4MniVDvEVVWvts/8TIgsqbciiPEGOSNN173UaF4jEjMwKPA49FHk99MTDlV7WtoXecbbP6zfUXEGkf33HO3f8Umwor+MO1v3bqVv+5c3BHfir4rMmFO3rFjh7iiG0R8CkoNYppL0skGBUospMccc3RGF8TiIlEO4joWMEjmyNIBAUTojwAZcQ6kUXrNBFwW8XiNkLgPL9iItVikIcpily2uCpdHnPa3ICjuiTzkDymX/iRMy++PP/pov7ZGpbNxScDNpg+fWZjlhTt8Z3+Xuq/MZzgvtr6o56r0FX0k3Jk4UjYlfCsy39e31KFDKr5Lr0OP+vrSuHAEGhQo4eInyhkrYAWIsNj//vtvfkGxIjgucdPiogEUOGGBBnhIlKcFccubb3ofeFqc3jSGBZRtF0JAi7NSMhVXHYQCMxsX9xwlNiokf1y5xCOmEneZK11V3hXS1ursK32w/gvj+oQbIiwO9W3osj/9Vj4AetCggfrZIMOUU2qQ015UpxsMKC1dusSbfsPNhDt44uIWRImoOAhrKUoEhhWcFd/Z9PYZHRUcE6GMA9hdRynDeW9FQbYcnpWfZ7gOqxcBSOz7MG8hv8XRROVBRBlH9HHjxn2Hb6dcf11cUt/WXH21bYjqq30fW0mCF9bKMkwOtyzvH4j0rHhTHGz4rXBAe9SokRnRb1hmQ/idglJDmOXS9LFBgBK73k6dOngPzXBF0lNoEQmHEoBAP6DduFWGK+3nu3f796Hpdwhuu3d/luUdQfnFidEWtePGG2/wJupxHAnxqxP4w1MdUSEcXXi+Jiodcd9883Xcq5LEY/QR11cqkEis2MroK+fOxL3mKod5EFebK519x9XueH8nH9wRoXSOSscmBZFir149s0S0et9QwhSUGspMV72fDQKUOHtkL/ezptBxQ2gXF6vYVnoWUxY9jB9kicXCFHJKgA//bHlY6IlsW3DVg9w9qj6lr83hi8ZAIkk7uS6+rvYVa8NGjQ5z3KMkAwf6DNcdEu979OiWk+MN89S33yko1bcZrb7+1HtQwssCiwfWbwAG4iFdj/3lF194boeFUabaeoco6MMPPsiMPAdkASKAR6CCgpvfcFba8YsDIj16J0CHetEXwUUh4sOEm+sdIOpjl46ojba2bHlG1vUQ7PIRGSUh6sHTQVKiLXYRRdSHuE3EmIh7QFyJvk1Eu9RXxYUhYrAoy7wwnX7XZF+py/aV+cOPH0S7ucbE0vMrV9qf/vn666/zHhsQB9t+MveUwfhok4LHC4n99iuoAUSkoNQAJrlEXaz3oMShU65XkG5FZsosuOxgkf9vCEyB8czALh4CVFhgILwefPP11+67b7/1okAWH0BJ3A51YEVHnBZzn9H8R72AkNoBcFEOXBJingsuGO4eefhhfwU7u3G7cJpiMo9Y58noIhNZggf1OV9RgCoLfBIiXZQolH6+9tqmvH1lgWcDUGpK2lfqtYYyXEGCBwttMORminQ/fP+939QA/Mw3JuH/9V//Weqm15nyUlCqM1NV9obWe1BasGCB69+/X6SDVHbG7GYBBXkekAUcuiKZi4ezZA/dbtq4MQMwpBP3QHnLly/z5bIwSdek97ZMLPEASN7hRTrXlRZwegJYymBBjyIWQms0gIdqEYt7LqMA2vrCC88redlCfATavtKuqP4SF9dXGo+INY6q0lfqxIDBcklhPevWrnVdu3Z2Dz74QPiqQf1OQalBTXeVOlvvQentt3e4ww8/1Ot94GBE3PMDsfBF7d7xDoChg8CKtFHXXFOmvAhwMy27ZURiMl5QfZTH4glAyaKPd+SX+bHacu65g5Wt2sI4Ti5phZx9Em0NRF0Cdr1XCKeE/s1a61nQUbpSh1FAVkgdu3Z9mhHPkk/9ZSOBfz82E8wrY4ooGHHr4wsXeg/wOGjlokeJdwuptz6lTUGpPs1m9fal3oMSw/fIIw+77t26+gWRBQSgQQ8AgLCAaIHmHc9wEhgmsOhAoTKedJDC7ZV+8cgjsZxPUPnfunVrvb4C0OE9XIxAC3EehDeBPT/+6J8tKFF3Pl2E5RIqq6xSQJt0L5IKkjhTv6NCQEdjyftCPVUk6StjWEqK6mtSC8dLL53g7r33HjdjxgzvGfzcc4d4zgnu6YYbpriVEXqoUra9LpWVglJdmq3ytrVBgBJDjPhk/MUXe/m/dREkLgduZdu2rRkzZMBD55nknSFuqiw3haho7tw5PikhwEUdX331ZZbncMRniAGVF0MH0eDB5T1o+dNP+9qiNiUNQwCPyvfGG29ERZclrti+cuMuN8hypTkewpP0uywdrCWVpqBUSyaiDjSjwYASBgMomwEJdEgQoiOrN4J7QZSHKEYHTwErdv9Wmc8ChC6CMmWJRxqU8Cqb8hHZoUSXiApwkjUW+dUWAIszOcRR70UXXVj0p0MZ6MrWv/RSxkCDwnBrZLmYqAre3rHD7dlTwa1FvbdxjIf6pdC+r4ln+oruyxqjUG+SvmKQkrSvlMmiCv35xx+O82Tjxo11XNLYr985/j4p/zL9L3YEUlCKHZr0RTACDQaU6DeL/Y7t292rlZZ1VtS2fft2PzTyPvDr3r3u66+/cojeRHImShoABnGdQAtRIBxVuPBLl0A5ul9H5SHeAoRsOzDM0C2l1lsA7oyidF82r8pNGiJGjKNc7+Ly5IoPgQsOcdWqFzNZrDNU+iq/g5kElaba9nchz7n6k+tdWAfm/IceerDbuHGD4zr7OK/pYb6G/jsFpYb+BSTvf4MCpblz53rnp3Av0gdhaIBeCe4HH2V4fBDJVJgF1BpJSNfETt26G6JMu/ii69m0aWNWmZQNkLC7py5bLvlHjx7l8KmWlFSf9E6//fprpBPXqPKsE9jwPWAr0SZckXRgYbq434CzuEhM1tXOuPRJ4ikD7tT2NZdlnS0zX191ADpXX9E/NW16lLvuumsd147AkaWUbARSUEo2Tmkq5xoUKL300kv+ZL11hqrFCLdBIhkf6LdEbgIyDlZiYfb000+7xYufztyhRL6oxVf5VR4habHSU5kAAG054IB/ZMDApo97BkhFgKccwyrOukFiQf/yywpDAfpQzPmmt7bsu+pdddhQlw1W1eLNlqln6d/4HdVXq/uzfYXrKqav1GP726NHdzdw4AC/sbHjrvalYfwIpKAUPzbpm+wRaFCghNitbZvWmRFgoWJxCS3L4IRWrlyRSQc3IzEchyJnzZrphg07382cOcNdddVkf8kbi6TdOSs9Ije4hnBHb700aMF8/vmVOb1Jr1mzOtMmPWCcUSpifArRs1AvHFWh9NFHH2YMPOLycjBV46I0iNmiQF/vCwk//BC9YTL9GeXyjXTp0tkddtihkWelCqm7IaZNQakhznpxfW5QoAQXccghB3mDAhY4wAYgwbDBitHChQ+RjpTncDecR8KTAsCCiI/LAeF4BESAkE7+k97uquGIuNaC+gRMlM0V6FOmXJ9lRozhRNiW4qZ5Xy50IBI/7ovd5/xUfeAd/c5HjANiTChKD2Tziyu0cXpmLKqjr1Ec288/V9Rl+0o7cvV3woRL3DVXX+1OOulENTkNCxiBFJQKGKwGnrRBgRJzfcIJx3k/eBgRYG0WRTJ2iHpHHJZtEKBhuSOlf/bZZzOn/MOFWAuvRIi8ZzFcvWqV476nqhguqP7qDOMMOajTigqj2pAPtKLylDtO/T344APdunXrvHFDudtUF+tPQakuzlp52tzgQImFsX37dv4enG8rOQGs6LRLZveMJwf0Tw8//LDbuGFDpLgGTgcuCEJ/IfARSPFbcZpaOAq4Mqtj2rnzfad2oK+AwoOryq8wdGsD5xMFCNZ9kvqnMghzuRoK61Cbrck7ZYT6N5XP9RiWQ1R8GBbaV+Ynrq/MA1TVvlIG3wREf3H9dFbbNl6ciBd31eMTpP8lGoEUlBINU5rINTBDB804wHH66ae6hQsXZHmDxgLvrjvvdA9Nm+YBBa5m/fr1buqDD7q5c+ZkFlk5YBXoWMs0rLz+MJ62qRPwQmxGeuq2bnjQm7Dwbdq0yQ0fPsw3UcCm9iq0+RRXUyFjoYW6kDoBkTjgopy4vi5++ulCqil5Wl1D//333zmuMof7xTiEe5GidHslb0A9KzAFpXo2odXYnQbHKWksWWDPOKO51+UQh65n3NixmUOSSqdwzZo1jjNElkKdBGlEAi79VggHIvEg+g70UQKbvn3PUbIqhS8UeK9RlSqLyPzSS+vcL7/EG0CU0lUQG4bqpO7du7obpkzJHLJevny5mzhxQnVWWS/LTkGpXk5rtXSqwYISowmH0qlTRz+wM6ZP94dfo0aZRRQR2aRJkzygwPHY3b/VlUi0pJDy4DKw3kLkJ5NtDCT8Qd5XX8kYCmByHEehOC0uXb74XOd1yJsLMHTAOF8dcIY64xWV1nKWUe9rQ1/xxtGzZw83csQFWV46aO+A/v1qhRf1qLGrrXEpKNXWmal97WrQoMR0jBgx3Bsu3HTjjW7+vHmRMyTTZMR7Ey+91N1/330Ojw+WG7LONzH/Jq0lFrl85tM48pTuxublWRZuYXyhv+W9YOrUqbFZxQG+8srLsWkwgX/xxRcy7z/YudN7OchEmAdEoBDGHfYskUmS9Vjqvtp2ZlXkXMZi8pOPP86y/lu4cKEX1YXp8eiAa6o2bVq7DRs2hK/T3zEjkIJSzMCk0fuNQIMHJYwecPWDHikJsWAibkP3BDcgkR3iQP5JyW4vo5MDWGt2zvPSJUuyzLOvvPIKh7NSeR3PZxIexVGIE6MviCQx2iglldo6UH3NZxKepK8YkZSKuIMLAJKVpC2XzQVeNxo3PiI1erADk+M5BaUcg5O+yhqBBg1KeGMAXFCqA0pxIqfQdHzVqlXeAGLlihVu8+Y3sqzv4HQ4mInlGc+I+bDWgtvSuSS4BUCJg7W7d3+WmRAML+68847M76o+iONRObIWxOKNG3ejCK8SMlvnPX3gsKsI0aXKUVxtCOP6StuiAI34sK9sKugrXC4GDRifWDGs+km+jz/+yHXo0N5baSo+DeNHIAWl+LFJ32SPQIMFJfQap556yv9v7zy8rCqy/f+H/N6bMYtpzCKIShTJEkygBCWIgEoUBBOC4giCgoGckawEcZwxjxkTinHELGZR58177/fW7636rU91f2/vPn3OTX3uPS1de63uc06dOhV21a1dO9Te3tz34osuKuhhoD7aatzczLrjjnoiORY/dtHy3kAwP8Rlv/xyIPe5dvNRMRaL6h133O7glixQlkyrCbsNEUwCuDadq4nmgcNbuWJFNLmsZzmmzfcxniaiB1chZk88UefgNvq97Svvtm/bFs2Se65kX3EOS3C+qChVYyZ3R4SswFw8QGEMBKJUGEchRw0GaolSex8DCAea5f7hXJQzHETZpAxMfdetW+udV44cOcLrbgjzvWDBfC+LRy4PYeCb++5bUHa95bQXEVubNq0dIcKJsYSYRiBTYD0nXTEYQA/1zf79uSzstGUAQR2I3zAflgiNRU5EA6/iVtRGhNxt2x7xftWsripXeMyN5Wiir2lLIaOGYvsKUYzWhXGHPEPA8e3enRxyPNo2PcM9ptFX2pFmX+fMnu3GjKkJH2LFsHCJjNnnn33m9n38sQ+F8vDDD1d17pYz35vCN0gB+K2j36M9RO9dunSJmzJlshs+fJj/4540wriQBytSvuHbavaB0CSrVq3UNC3rioUtASADlI4BT5RQ2t555yx/mJIDleX8IdJiAt1wwxQH8TnyyMP983HHHePFHOd3Ps+1bXuO+8Mf/s2nt2rV0i1btszf416nnDrL/WbVqlXutFNPcVw5pZ8EhazN5s+fn+OKEP3hFZyFC+6IBVfEyJb/3XfferERu27yYQAhPQ0Wev37X2qzN7hfsXx5g7Q0EiBi4LMpgQwkKtGmfGPLxgHvGnBuHKLW+KgdbGaAdu3aumVLl1Z17pY757P+bs6cOf63Pm/ePNepU0d/z3px6qmnuB7du/k/7knjjzzk5Z5vq9l+jJkCUdJsr/41daKEb7ljjjnajRp1tdu8eXODyUSo6blz5zrMn8nLpKs2USI8+hlnnOawQIMLQNmOSCZOqZ00JHBCmJFHAQ4CU28WeQgUHBFAPRApTK4//OADb/XFrhv9Bfol/nBf1L3WRJ1v4E4op1iQzsrmhziyyxTAUcBZlOslXOXwvYA68lm4xXFDUdEe+GxsX2mPtXCkr9TDmNDGUgDnqxyYRayqMaQ8xlTc8Gmnneqw0kt7wUR8uHHDBr9pghNDt5V2HdUuT0SJ3zwRe2fMmOF27tzZoF+kzZhxm8+j9SEQpVJm7u8/b2pE6eqrR3oCQzwgdrjFTPp77rnHx6c5++w23hFpMd+kkQdi1Kd3by9Ki+NmkoZ108aNuVcLH3zQL4B2cdbihXNVAcRGXBRKc+pjkRHwDbqWF194wRHc7qKL+ulVg6uN9WRfSrTGNc4FjsSEvI/u+m059h7xqyVm9l259+jcRBzgRvKVT1uxHowCxAtI6qvEbaX29dNP6gxOKB9O6owzTvc7ZsaQxRKwXtmRAmAkk8acpAwkB/369fV//J4GDxroxowZ7b2T44Jq5cqVqdWVVpuLKQduk/OABEe86aYbiyKy/EZuvHGa/wb9HlKEYupKI0/glPxUz+xfKkQJ2SkcDzucUicFYr+TTz7JnXzSiQ4uqtTvy8m/aNEiL3aBS8Ec3MJDD62zj976yu6+9XLu3XfndEJ7976jZC/CgwhFua6tW7fmLLU++WRfLj952RnTDpTmI0YMz70r5kZ6nWLyaoevvHBt69c/pEd/xXKwFCCmVD4opX35yuFdKZxUGn1FvHr++Z19+PPoPKE9hx56iNu2bVsqc5bF+sQTT/BHAhDpEroDWLWyRrfBmbHjjz/WTZgwPpX6yvndlPMNupXOnTu5Fi2OKouAM79aHH2U1/2WU3853wSi5KdeZv8aTZQ4NEo0zkmTJpb9Y8EgApEfu8FyJlGp39xyyy31xDz5sI/5b9QEGks2lOHsoC384x8fecU9u2xxBHrP4qwzOUrjCseAWAiitW7dOjdz5gz7ut79+++/559ffLGG04KTEOdQL6MjFEV5Qfz2708OVwEBlfVgtD49iyvTc9QcO4nbU35d4XQwDLF9JS0OyhHPUU6+vvL+maefdj/9+KPr1q2LN8aR1Z3awEYMq7JS5180P55CmPsQQYA5J0s/1cWVeUjE2zvuuKPRdUbbUKnn6ydN8hvW+fPvLbvNfHvE4Yd5cXml2mnLDUTJzrrq3zeaKLELatny9KJYcjvw0Xv0PPzIN27cUPbkjZaZ9Dxt6tSixVhxQ4Lu5sEHHmhgyCDLOvQALOAC7bJZ1NBJRAGRHlwA7cIrOfDWW2/Giq+i3+o5a393akc5V4jrWwlhROLKq3ZfJ04Y7xXyXbt2ce/u3Ztr0vHHH+ejDyfNs2LSOZeG0Y82PporiGHj5gqGMqeffqpDwlBM+VnmwYjoqKOO8IZPjW0HYk3EpZTZ2LIKfR+IUm6KZ3LTKKJEaAcICQdQCw10Me85sDho0MBUyspXH0YY2vGj04m6BMo3EpixP/fssw4RYJRTwjzchlWnHBYXuBl2vlwRK8kBq+pROeiTCvmF4xus/EoBFPaCYspXXnwDRj2e8y56UFX5i71anVqhb0rtq9XnldJXDFHguOLg7jlz3N13z/FeHK688gq3aVONbnH69Fs9h4N3h9WrV7t58+b6c2aYNhfDQRFDi00dmxI2LLSBOcL8gNNmrsA1aX7QNjY+y5cv8xatTd0AYtq0qe7MM89IRR+0bu1av9ZQZr7fdhrvAlGK+xVUL61RRKlHj26uQ4d27oXnn09lojDxCKb27DPPpFJe0gQdPWpUA8IglLOoRfVBeseVHe2kiRN95Nkk0RnGBCwwECSMPmw+OCIswuxCQ7lwCpjTY/AQB3GcBGJEOKokiOpVovl4zyKXr7/Rb3jmHEnUCAHP4ALEbl9/XefeiEO/ACLMYupK6iuLfxJUqq/geMjgQf7MCWfrGNvx48e6Sy652HO3WJiidzr2mBZep3r77TO9Vw7Mmzt27OCJR/v27TzxQn+nOblj+3Z/zkn4eOmlF9033+xvMFf8Ruezz+p1m43PsGFD3dSplV+g1d5Sr/gFRFd8V0obVuq/Zsxod8rJJ/lzjqW2p5T8gSjVm25VfyibKD35xBPukEP+4BYuXJj7oZUy8El5EQVicZT0Po30a6+9xk2cMKFkZLOo3jBlinsp4TwPBhHoPSA41oCAnS87ZwHOXO0irvSNGzc6vAREdRd6X8wV/FQK4Cijeh2epQtJqpfFHLAiTZ5pa1PtK+3D8Aa45Zab651bQU+GOfjwYUNrNh+//urgmoYNvdINHHi5j9U1e/Zd/lv9g7sm6vGQIYP9QVEkDMTowqhh16OPKpvfLFmLTogWBilRUR7cKjHB0vg9VKIM1gXWh2ItcYtpA148KJOjGMXkLzdPIEq56ZjJTdlECZc4xx57TOq7Fn607DIrKZrAco5d7Pr16z3SH3nkYb+48GC5Go0IiwS7f5S2u3fXmHtLNIQZN7tpKfhZQICPPvzQG1NIz2QNH9555+0GLnj4BiMAzGYhftFzPHEWgGpfsdc3Xn/dEwZ+rEBSX1WeXRxFeNQf5YFjsoTFfqM8SVdxiypb+dLsK4QeKNRXu2mQMYbax0Zkw4YNvhy4ODjFyy+/zI0bN9Z7MFG+H77/3ueJWgniZBfAEo2YXJSF7pS5TmBHvKBYgxzUW/YAACAASURBVBBLvJlbEjX7Qsw/iCVllLv4VvK7yy4b4KP1pl0Hv9vLLxtQ0T4HomQmWQa3ZROl/v0v8RE50550HKRlF7lr166KTTyMCU466U9u3ty5OZSz2K5Zszr3bG8gKPi5s14AIBxRYPGIpr/55hvRbP4Z8QbivahjVAL9ocx9e8+eet9FOZR6LxMe8uljsGhqrG4oodqSk+EC7JmltPv62GO7GtVXzLAx/baA/hPAm7g2IuJmRNSUP0qkSGf8mStwn3gP6NC+ndu1q45j0rdcDxz42W+GMKCxgCgZq1U8k6T9O2xsefy+ON7Q2HKi3+OS6KSTTky9XFtPIEp2llX/vmyi1Oas1m7w4EGpTw5Z4VX6h0b5F/brF+sFWsPAAVJ2tTNnzPC7Y6VzRa6PghqRQlS/YvNxH3f2R7thfKiJ6yIvOi124PnA7qrJZ3335fsuzXcHas2XC5Vp24qerVSw3/OtONJSy2lM/muuGeO9O9gyFJARjn7QwMu9yJaNTZTLg8NGfMlckWWlLUf3GNzgIBj/h3HAfHlt925fj51vRC7GJU+lfy920S50j2ifjeW0adNSXx8wdKDsSlrhBaIUNwOrl1Y2UcIgYezY61KfdBABJh3eHgpN/sa+x9s1vuawTmPxwNSbXS8/fkJgL1261It9UG5jiQZngaiGxQfuSd4DuPKOdC2i5CcPu37CIXAiHVEMZ5JIk8Xff/7rX14ngykwCxNiO0XDTZoG+TgcQioIaPfed+oO9iq93CveDLAGA+/SE0XLEtfA7j4K1t1QIcMEfVtKX+P0dCqn1Ks8N2DEgy/HlStXeMLCuDFOOA4VDtCByiKPehh7iAicE+NJHzRXIKrMC+aR5gp6I8SLjNXgwQPde++96w0qmCuv1vpGhKsSMfri88+9SA9OiQ0NDnER46GPrORiXezvDXE4v+E///nO1H/DlEnZhKUvtj2l5gtEqdRfS7r5yyJK7A6ZGBMnTkh9YmzZssWXPWfO7NTLjpucWzZvdpj5svPF39mQwYM9McLRZpLoDYsoCAsLtEQ2ScNiF2LysGNGdCPdlL6jLAEukPB9Vgygw2GRqwSgIwFn5UBULJmvjB07tnuv8vny8O7HH39wOkBcKG8571944fnYz6RTElHQVZnZvGANFweMM+MTNe2O5oWIMS+Yi+KimSsQ2h9/+KEeN23rt/Nm5FUj3O23316V303cb0lp/KZYHyrhs451gbKpQ/WlfQ1EKTo7q/tcFlFiEhx99JEOsUbaE+Khdev8pMM/Xdpl5yuPMyMLFz7oiESLSTq7UACiokXik3373NdffeV3rCw07IjJKzdDECqsqdgFoyOxXIuGFUs8q9hXOex40VmhFL+wX19l95wbO/MkiIqLovnUdqXbBU1p9hrlYODuCoGMCPIRRziFqK4lWi5cVr6+wi2gh8sHtr9p9RVjCTgRRLV/f+65etXjxYN2n3vu2fXa/t2337oP3n/fwQkjtmSu1IzvS7n5wVyhvxiKiOu66qoROb0kcyUakh7/ieR98sknHCHoLUydekPFLVfz/Yb0DskDhGPWrPQ9T1AmZVOH6kv7GoiSnVXVvy+bKJ1zdpuKHHR94IH7/aRbs3p1xSZdvkmMKAZfdPrx2yFBVg5s2bI5lwyn9MMPdVwOzyIUECcWHAwgdu6sMQmPcl/kRyfEgothAubqnFdKCyCUSdZbxdQBrrRg5su/b9/H3o0ShGl5hcJr5Ktf73D+WS6Aq7i+QlRQ3GMcwlgxpoy5gjkSG4iF0sI7tQecZXnHO6wuLTD22vwg+oXgnn32Wd5FFPmic4U06mc8CZYoS0faQlmPPPywGzE8feOCfL+XuHeIEMFHJQ66Qngp+6kKenYIRMnO0urfl02UMMvkNHrcpGxM2s033+QnHQclG1NOud/27NnDL0z8+BGfWHNnOzziDmwasn3piqzxAnkR47CYUB4LCAQLQN/AH0QJ/QNiRIKaJQELZz6DAfpdLWAXH2dZhul5PgAf+i4Oj/qWd02lr4xZqzNbunvvvdePk8aPtrKZYKHM11b1iSvzBGCu0EdtYiBKQ4de4UWZiPKYK7ynLtVHmvRsOjagdzt37PBixHLnfprfcSYLc/c0y6QsxJscGUm7XFteIEp2tlb/vmyiBEdDvJO0Fau42sFLhJ0k1bjH6g+nsv369fFGDxgJQAAAy2nACeh8CAsVgBhGQJpEULqySGNEIYKF+A7DBr6zZSAK7NKlc6JfPhYoLWiqj6t1I2TTo/c4z7XiOMoTaNet5+gV0VU+sGIzGTs888zT+T7J+46F1rZPmTFCKQby9ZUgffkICH2New8hJUpyl/M7ewe6tA8DGQxZIFb0m2cLIhiMM3PA6tpI+/77mlhXiHvR0aLIt3oi5j5zhbyII9kocW/rgbsj9AYiPc4HVeP3UqgOXHmddVar1NtyVutWDo8shepvzPtAlOwMrv592USJg4DolbBSa8wEsN9SZosWR7tbbr45tTJt+Un3/IAWLVroT/BjUYgoBbBiOQ3N+HFjvYhNO32l6woxk4dnriwgAiyvdB4H/QJ5ZfCAh3B8pj388FYvFrLEQ9+XcsVgJB9s3Zr/Pd8m9TGu3MWLF8cl10tjUSUmkAVEYI3tqxWR2bJ1/8orNYdX9Rx3tYt83Hubht6tffu2nhOQVd3nn9d3BWTzJ90z/oiJAQjhiX86wRMe/A3CfWmuoIuDK9pee1YK03K+BSBSbCh+/vkn/0zwSkTQcFpJ870a6ejh4B7ZHKRVHy6dKBNLx7TKjCsnECU/lTL7VzZRYjDZlRG2AlFX3OCWmobM/thjW1RUXhxt0xVXDPE7uksvudg73Xz55Zf8jldKdwwbIFKYoPbq1cOfyMewgQUbazCceLJgIK7b89Zb9ZT5cEJwEOK47O6bhZjFkjSZjyO6E8eBSEffFZodcG/lLIpx5crvnLiAuDykkc/2JylfselRK8Wk78BPJfoax4GqDYjMoqHZEbXhkLhLl/O9zzu4GxEYy+FpDJkr1MFcgrPBsMYafrBhYUOm/NRpgflFGji35ZOH8tjk8B7ihjEAxwqqGRgv+rviuW3bc1KN/0SwP6LWxtWVZlogSnbmVf++UUQJH1TsXKZPn57KROna9XwHkUhzguUrC85EprzsLAEb8wixiZTZWOZJgZ+0GEc5K5TR1A8gWrFeqCEkq1etcnv2vOXfc2YKbxbFQJSDQccQXaiKKaeUPOzIs4BoXyFKle4rZtiFrPyEC9qHyyGkBps31wU8lOiScY6DKGGFM1qxYrnPikFEVJyKYh+xr+W8yYwTY8DOWzZUcEuImfPN/0q/u+nGmsCFabgM47fHWkMwxEq3OxAlP6Uy+9coooS4rW+f3j6+S2MdLxL+gkieRJqs9KSjfAgSnB6iGGT9eGiA2Njdq0aFHSi6AS0I7GpZjOB28O4s4D3KZgt8Z3VOvEP0wnkbFiwWPzgtFMNWd6Uy3n67LoS40vA0kSZIcZ5mmUTRxdMBJs49e3R37du1dXjLxncZHrZrFsz6HtF/r30Fb/iyg2u655559QwTZPDCXBEXxJjHzRXSonOFspmjEGPmKcB8JO9XX37puSTeS5znMzjnxYDnndexKr+lpN8r1qpEy8XgoTGEiW+7d+/mneCmrcOOa3sgSppF2VwbRZQYUER37dq1dRdffKF3OBk3yIXSiFfDLqgx0WsL1WHfE7NpwoRx3vBAJrkW/RAdC5ystwDxQmQCAUMko0WGxSEOWFBYRCyQF8MHiNbtM2f40Aj2fbn3MjKIfp/UNvKJC6IfiBKTgMXwrTfrh8oQJ2m/Ia7QRRdd6B59dKfvtz2XRT6IIKKlnj27O6wdFV3WllHMfWP6Sl/y9ZUNAxaglmDH9dW2E70UYS0w6xd89dWXnmAwV3iPmG/Txo3+2IHy2CtzRcYRSkfkB2dl55As9pSHjY1Er0obOfIq3wc796t9f++99/jf9vjx48omkHyLmqCYGFVp9C8QJc2gbK6NJkpMAkyYDz30jw5noqXKsRcvWuQ9YxOTpjG7qWIn47ixY92Y0aN8KGx80kFgaLOFV15+2S+oNg0u5ttvv/EHIj/+uD6B0Q5WehEWFXE9EAMprFUeiyFulFCSs5Pu06e3XpV8jS74xRSQj0Dpe7hgC+hL4s7N2DyYiGO4ccIJx3m9HO+EE+7R1wmEc1zsoEdcuybZDF7fcC21v5w5KwTRvpL/8ceTYzfxPnqo1dbBoXJEeZRrCQxth+hAsMU1WZzQ1uhcoVysOMVBcaAWgKjijkgAwUMEjQdzAQY8GzasL5sYFPubKpRPB16nTJ5cclv4hg0rbp0K1ZPW+0CUNIOyuaZClJgMhHU+8sjDvZgGC6tCEwQOCy/CTLjLBvQvmZgVKj/uPaEqTj75RG9iCzGCU0EUBgGxi0fUlQ06DMtRkRfCxELNIgNhsbtYFtoo4dLwslhhKgt3ef31k1zvC3p5f3h6b69/q43nY9Oi90n6lcd27Uo0RLC7/2h5Sc/0E2tCPFnjNHT+vfd6HRhxhLZu3eq+rT13xTxgd0y7rFUcOGN3L39vth7ynnVW6xwhs++i93H9RZ/CeMYB57+qAfRLdcENXXBBL1/t66+/5jkl5gptR0+JrkUBC9EzWpx8+mmNNR4fs2mCE2c+CZdwcHDyiANlHk5enqUXVX9Hjx7lVhXxW4z7raSdhqd1fuuXXHKRY14XKp9YVuTlG74tlD/N94EoaQZlc02NKDEpcK3PwTZPaC4b4Bew6GQh2BlnOlq3buUDdk2efH3VJtywoUNzB1MffOCBHCFhl2l1SVrgSI8DFhiIECI8iJo1iCA/BIzzJqefdqrvY4sWR3nZOue6+CMuEzotuIWoLiCuPtIQrYm74PnXX37JGUkkfcPiaDmVpHxJ6bjJIVgdZ8cY0xNOON7v8omuCuHBSSkK6KuvHun72bLlGV7ur0izUbN0NgGIwCwBp25c8iCaIUYXQF9Xr16Va1axfX366fK9OeQqi7lBNFbonFb0M/RmAJwPfWauQJjhktm0YYgACCfcgy+iOWvTYOffgAGX+vzo6oQ/jCOUl5dwT/Ybxqn/pZdU7fcV/a1Hn+9bsMAd0+Jo/1u4+aabYs84ojPiHboownJwLixaTqWfA1HyUy2zf6kSJSYLP14IDVExiRLZutWZrlu3Ll53cF6njo4FGlFfn94X+CB7lZ5gtny4E4gACwE/bMQi3FuAyCBWY9driYDNk++eUAKIMW++6Ub3j48+8joEdrRffPG5J15J1lj5yox7V6oYK66MuDQMOFg8sITEa8fixYvc1i1bvFL9s88+9b7+kr5jwwGBjgJEmt2+FlPLlZIXThPOmdP6cVCpvlIX3IsNLWKdsha7YYhrMx67k8Ya4gEB3/3qq75+CIlwAtEh7DehQTR3KZ84Qmwy4OrRMUEoLTBvEcuCYzgvODFc8nTt2sUfdVBZWV+3b9/mhg8f6o4+6kh32GGHunPOOds7QsYZMvek8Y7+kjeL9gaiZGdW9e89UcIiigB3HG5M8w8xA8HRWNjQOxHMjEnGwpVmPcWUhSyeE/MAu1VEdBAlFksBP+gapfLnXkRizZG/NAYA4j7EXcnCinKJMaUw2pTLYoHoy0KcnsPqFmzeuHucfMbpheiT9Fv2OwgvJ/4BFj3MahGJ4MXi8drzMrQJk3RcR2GoYPVH6D/4YyGESxS8u3evbv2V/sfhBNES52ggznahJg2cUxfvhg27sl55PJTaVzgH9bVBYSUm0D7Lidi5QlHW8pLnX3454PHEBgQzcQCcAOBFBjEQII4YTJo0wf3HP/+Zwxn5IOAcH+BMDr9JfCbCEeG1gwi1zCf6B0ETMDYQV+YrGyp+DziQZawQmXbufF7Vf2+FfpP8zvB0wkFYcMEflreIiHlX6PtKvodjZ62ywO8NS9Ji/664YnADvbQtL9wnYyBHlOwZi+Tsv983LBToPwCIIj9+eVOwvWJ3zEIZtewiTYA4xnJYOlMC4UOUlQT5DmgmfVNMOub0hQDREFzqBRf0dMuWLXUTJ0zwekDEqH/4w7/5XSoiR4xN4kAKdssJRa3RwJHwwsIisVVceUojP5638TABh1YIinWpVKictN8TrFGwc+dOr5jnGZww1wSIKcEhnPjAgZfHes0AJ+ia8C7Sq2cPh4ThiCMO84dRcTgbxznKcELjM/a663zd1Es5iMUCFIcBRNZRolTclyFXGhhoNkQJgjBo0OVe/CExhxCI3B9uBg4Iroc4QvgzA9iBSrTCs3a+lkipnCVLFufdHUVNy/WdvcJJcF4nCrY+DumyiUC88ckn+3xWu6PXt8ScgWDheZpotpwlY7FjYaPPMn2n73Bq7FLhagSIlRAXkY+FkF26wHJq4IeFlJ06HE8UIPCeg/n0U49f3rOIQrjUFizWtLDavkbL4jmur+JW4/JbQwLe40lDxDMuf6lp6CDVdr5FbAYRF2cly7louXBC6EzAu4ByIGpwpcxZWXGSh00DBAYOF2B8wAXjw9jAPTBfgatGDPdX/uE9XDqpXGK4ScRAIEqJqKnKi2ZDlMAmprhr1qxx1sKJdBZNK6qzmI9yAzofwkIkMR75iQPFwrp/f52TU8RpSZyHraOYexTlAEQL6z3OdFHfUUce4S3XevXq6Q9uzp17tz8UjN4OS8Nbb721nnUXZVjCo7rjzgoR4TQJLOEQTsiLyEuAGMoq3ulDlHioLUOGDNJn3igg9xBz8/e/x5t5Ix5L0gPZsYopsuQkfLslASIeCLUIBDokW79M0JlDHCzFP5wF4cSm2fGZNHGCYwOUb3wQ/3FeCi6NeuCSrVjZlh3u62MgEKX6+Kj2U7MiSuwo27Q5y90+c2aDxQsuRguHdqfsPlEus8CIW7JcFqISDDukK0B0J+KhBamYAX333fq6mXzf4IUC57EQArg29GKYf9/15z/XiOUmTnB/+ctjbvOmTZ77kxhSRERcmJ6pi77h7oh+WEA/AS7EmXAPTiTiVBlc4TwoB5zgCRsiLzNm3kNMbVt4L4/ZvMc8Xs+2DdF7cXcstuJalQeOKNoH3sUt8vpGptk8a9z1Du5Eff/yyxrdkOWIlC96xWADYgynpHkDXmgfV9J4zxyRuJc09IFJ4wOnqg0OuCMYJT4YMaYRHjAJh8MCn7jPwnwfQwfmNb4bMTiCmwqQHwOBKOXHT6XfNiuiBDJZHBcsmO9d3mDhc9tt091t06d7HQAm7dYSC/EShxH5hj+ARYmdp8DK6nEoixcDQIuZ8nHlO4hIISCaKcBias87IQY67bRTfNksPCwwahcLml0wbUwjiIgCzHEAGEIrYOFF1GQ5GsqEgPz2668+LwRbHBA4gQDRD+FB9aotLOCWY7TGEWoL7QDUFspjAY2C6o2mJz2zKbAbAoi3fY77Tu/V/rg81pNF3NhC1HVOacSIYV6MSd9smRLnUT7EAyIo7w9sdvgevDCWMo5hnJkDGDsIeMdcu/HGaT6JCMfW6ztiPwxuqJswHeSjLYSdnzx5kooJ1wQMBKKUgJgqJTc7omTxCgFau3atW7durdcDYMIOFwVAEFisdWqeRUMiPpmKSxcg9y733XeftzS0dZRzn6R7uvPOWTmrLrVFnANtgVjwzEIGyJADgkP+9esfqtcciSbJH2e1p0WWnTY7fACLs6+//sqXJzwon+omL6JL6lRb0H8Baos1vSadtmCIwiah2gBHmCZwKBziDdjxgZjJEwT9xd0QfxB/iBRm8QcO/JxrisaHhKheCsI0ePBA/x1z9ZRTTvJ1MuaMB0QJTpWNC+JEtQXXTlGOMFdhuPEYCEQp24nQrIlSFPXsMFlQcGnCzpQf/sfG6o5FVuIYvuUH/02trodnREF8CyTpNvzLWtNf3Wvh0rO9sov//ruaQHA4vxVHY3fO5JdojHvaiR5DBGH37le9KThch3bg9nu4FLsws+tHJCRREDt8duMsdrSHw66UL7B1k2bLpi2UJb2T2mKNJpQf8Ra6D/tOdXAVR8Y9B2UtjhHbyRzdflPOPeVKlBv9XviLpusZrhCOL4oT5gpnjwBwAkyaONHPJ4xq4LgZBxmKYIgiwhYdHzYtbCJGjhzh3t6zx2H5RzwuQkWIG+NwtsrizJmAeF0DB9aYqystXOtjIBCl+vio9lMgSjEYZ1FBDAcnZc15ycpCD/FCYc+iod0si9Vdd92V45TyBZb78YcfcjtoyqS8fMCCS/nEW7KACxsAfQGgtohz09WKz3zGWies7NwR68BlYQUH2IWe3bnEa/oOkVCc5wTO0wBqgwgibWAnz3koIF9bWLg5K3XzzTf5vI39B7EDt5aYNbZMNgUShUbLgpARwmLD+vX+FbggPweqmSvCCQSedMTGEA7EoCLatszvvquZF2wYwCPunDQ+k6+f5I1rFi1alPsE44sFCxZ4n3twnIgy2VggplZbOOCMRCBAMgYCUUrGTTXeBKIUg2V2oliuWbPnmGwNkjgAGLVw0m63QeaEBM4TaSdts3C4ddq0qTYp7z1tR5wH18HuGW/VPAP0jwWSxfDDDz7wOioWPggwnKAU8ezQrYNPKfvzVhzzEjN0FlPbFullbFvgwiDA7PgBW3dMsQWT6E8cLuM+xJCgmLFicYcAo5/ZtWuX/7v77jnu0ksvcX379s75tIurI5qG1wf6yLgwPuLOGAvGBm4LYgWxlsUoY4KIrhvc2Gefueeeq3MmDOHSAWR0VXCzhAjZVrtpoX6IFC6jAiRjIBClZNxU400gSglYRr7fv3+NvzFlgeBoYVeaDs7yjGVcdMcb5QwQMbHIlAqYAOvgKLvsqPNNidool8WdxRhiAJcCSOyIPojdOeIfCIIsusiDeI+F/MUXXvD93F975oV30kNAzLTjJ5226B3PAIt7XX1fe7EfeIq2BU7UtkXiNxZWEa3aIhtcauqNDxXSIHNt+y3XKwKovNSnsYIr3bev7kwW/cE4Bos3zPA5WIknAs4joYPkQKyC+qm8qA6IdMYDgEDDxcHByERe+KJuiBHECtygtxN3BMEmH/MM8Z7aS5nkBTiQC+EkbMWf77zTc554vRcw3u3anavHcI3BQCBKMUipYlIgSnmQPWBA/5wOhmwsAixmEAR2stIFYZoLtG/ftqClV57qYl9hWIBOBhdJr+3e7fOwcCHKIVIpbpvw2g0RYmG1BIKdM892gYegvPD8816k9f577+UO31Iwojk4Mhk12Aaht2CxA6hfwD06EYg49VAnAIGRAQRtw2gk2hbKs22RuAquIwuQRSB1y7QfQoabHsJAQAgtsAGBexSRFvEgjwxj6DMbGeYK+NVmgo1Ju7bnehzZjQHfQtDwugHg5dsCLqBkuGDTEVMyNyGcEH+4TeIQAbYtnIt65JGH7afhPoKBQJQiCKnyYyBKCQhnJ8tCJGDxBz768EMl5bgBJbBLBVhwWCCKAfLFiY1YqOB+BKNGjXT430M3g6sglNxz5sz2O3j8nF155RB33XXXem6H3TScEGK7OKMBduJaSFU+V76De4LgRQHdEu20+i+IDoQlH058mZ9+6olgMW0Bd0RwBX45cKAeHnmOK8MSA777+aefos1PfGYBt4TcZqSuHt27eTxz6FpE1uZhwwDhkusf8IO/R/pt9XE8W8AhK2E+4sZBej6bX/fDhw31fu30rCt4o24i4HL26bjjjvEbDvSNasvmzZtzJuj6LlwbYiAQpYY4qWZKIEoJ2MaKDtf/QFRkp08kMuGZnbXOnPAsc3HlTfItiBLeLl7kjzr6JA1xDGXgPBcnnhYgFloUSbdEDg5FIIswWc7FLYj0KU4Pg7gIQLQnsOIwpVmckJbUFnFj0baAcxZrIAnvqktX8smCjzRxsHr/t7/9VbexV4s7ZeAbfAIS7M/rdX75JZYowT0JJzt37PARUuOc61q8IMbDIzZgx4dn4QVRXXR82Cwwx7T5UVu5ioujLRAluCmLP4494G4qbmxtOeHe+XAtwfdddjMhEKUE3OOuh3hBAD9umfMqO+Gp7e4XTmr8uBpxCXmiuiV9l3TlvEo+wOdZ925dGyxitIE/LUqUwa4ZYvCZOajL4s9iDWcGB8Cih/I8uiiqTxAwuCYBFnfWbJz06KLJt/YbtYWyLD5oC2Uh4rNtweKRHT64zRIeeOB+zyHJag9cgi8RdfURv4NsKHjGanDihPGeW3niiSfcqlWrvO4JThIvDcIrfWeDgbf26PggEmZ8GBNEfYjdKJ9vwRdiRAgaIUUgwoy5ypUImXykd+nSOXecgYO2xMQqlnvPEvdNoe7AKWU7CoEoJeAf9/UsTgC7S2IJIevXTpPFwP7IIVwK7GaLJI92v6QnuRSSSx77LfeUiwnygvnz3YUX9s1ZW8nKj3awCFmOxJYhkRMn+7Husvog2oaIUAubvkMvJJEYIiHt8slHPTpoK8svOTyN4kTl6WrbAj4t8NytW1evI7Pp0XsRhmh6uc81Y2rFpFd7Z6ayhFO5cIXSM5Embow+4zFh2tSp3vgBH4SIVQnDgJHC0iVLvIk2Ln/wGEIf7XEB4QQuuE+fCzwxU53MNc7BQfQggBApAGML6d9sW7RJIMgiIkmOEKDng7vSQWqVHa7JGAhEKRk31XgTiFIClhEhbdiwIfdWP/hcQswN1lRxoreYrCUnYX5M+UAxbUF/AOAUVeIkFjfONul7iAt6mqeeig9rgGUYoi0RKHbyAJyYQGXpOe6q+m1b4AY4hKvvMXe3Z27iyklKg6OBsxDEiRX1Lt8VLxOIvdDFQfziLOj4HtGscPLWW29657jMlzGjR/ni6RPEvH37dj7kRIcO7dyll17sCDLZqVMHvxHACpJ2U8euWoescJMY12DVh1ENvgDVFuGJCoj6ixsp2oCOUW2RuE7jwxGFFStWeO/wLVuenq/r4Z3BQCBKBhkZ3AailIB0zp4gh+cHz2FXcUjKLlNeuDc/MAAAIABJREFUPFajLGfnjPXWBb16enNdiX6Uv5gri76s18hvgwF+sm+f9xRgxXTkoV3soFmQ3njjdc/JsCizgyeMuIwQJHqznBLfw4VZgwrbTsy4ET2pr/LDJ5zEtQWuivpZVGkD9+Juom0RIYHjInS8gHKj+NY7ewXvjz22q55okPe0IYlz1PcQaEKAWCAwG33NZ/zA+GCuLZxcccUQd+21Y7xDWeGYthPyHOMTa/lIXZiWX331Vb5a8AK3CjHSt7zA3By9UVJbOHvEt8w5PI6rLZQDzgHCryDiGza0JnAi8zLqjdxnDP8aYCAQpQYoqWpCIEoJ6IYosTjIDFpnaJRdYhc9c0VkwuHXVq3OLLgoslitXFGjs7JlJN1D5NAltDqzpT+oSeRYfjwYZCAuIpSFxGiUjYm2BQhXEgeBmTJ/IhL2u+i9duPs3DETjy7+UbzQFom6VJaIKM9wYi1aHO1ee63G3J00+mpFnvru+ef/7kWH9myY3hW6RvFh8yOqg4ied16nXDI+6PByIf9+uRfmBks3DqKiswHEzVBXq1YtnRzrmk/8LdaTlGtxxYYkzlMGH9AWxG+I/wBxzP4h8s+ODxsKOC9g7zvv+BD3xYxxpMhm9xiIUrZDHohSAv6JR7N9W40TUbuLVXaU1OzICV0hcYneYbnDAUdZlimd/FHuQu+KubKr5kAvngA4sImDVZy0Is7ZsGG9Q0QzefL13pQdMRR+/GifBesFXelwTxABLOy069Y7e8WbgKzw4nBCfB9MpOl3kuhL5bF44nkbgoqftlIAzo462ARo01DK93F5Z82a5WbNuqPeKxZwCC/cR5SrQnx2/vmd/Rkx6eUg0HAro0ePanCY1haMheHqVatsUu4+bnx4yRhxTg1xHTiLA4i/bQtElWMCgrVr17iOHdt7ndTy5cv8HLJxmpSvuV8DUcp2BgSiFIN/ds4nnnhCvdg8LLbs+lmgWHxYsLQwc+Ud6eJW0I9ggsvhyqQdcLRq6Wyi6XrGZxrAoVm8PUd34izUcBFY1cEV8dy7dy+vR5I4EX0IoiuIDwso6dpdQ1zhXCBQECDySV/BO575xoIMFsTpkAcAH1LMI+5Cf0X/4DipE6s79CVYlMUBjlujokbaBWEWRC0irRk+1nJffFETpBCLtSiHgIgOwHgBwn7uuWf7NtL+V195xfcbMdx/1jpPpa1sKsAVjndHDB+Wc8YLMSAv7bnyiiFuxozb1MTYK30/8sjDc/4AKZt+QfA5iIxnevCuttB2xhodEeeUEOVCkBljbSLUTrWFivECQpwt8AgXB8GiD+/u3etjLcFt33TTja5v3z7up59+jG1rc0wMRCnbUQ9EKQb/hKiG43jzzbow1TYbFlEsrJjrSmRj3+se8Y49gKv0uGsxO1YWWgELEzv1QpwXIdBPOulP3gu1FRfRdryPI7aLWmbxDohygCyAiKa0oKstXCGAin305BNP2FcN7sEdRItFcfHixQ3ekyALv9iXKSSuXr3KdWjfzovfrE9BFm0MP9AjRs3lhQ/CQtBfwdNPPeU5QyIb33DDFCXnvWLMsHRpjdcGMkI4wC0bIogaFn38cS4NM/l+/fq6JYsXe6KodvCdxkqVqS0QMkR32nDwnnGmHoiddE+kQ7wuv3yAimj210CUsp0CgSjF4P+22271impesUhoxw4h+Pqrr/xizY8e7ulZv5DUuBlisUVsxQ++RhT2oY9rY02Jo9XhZicJ4MAoMwmw/CLKaSGjAEUdRTwFFwBRgcDhecAeHIWToU8QHwiMduGqH1ywg4e4sXgLsKKTGA3dDFwWLowg2LSfRZArynkMKygDHB1xxOE5M2uIUL6+qq5SrmvWrPbm0JwfuuP22/0ij1jz7LPbeK8IRPCN4g5CpJhHqos+0WZEoZjWE9VVAAfDwl+qd3M2PrgEYvyuGTPaG7HQNrg23AAhnsWUu3XrVvUID21hPmHJCI4tYGrOGEEYBwy41EGgAMbng/ff91wfc4r2Mr4aH/rQo0f3XIBKW2ZzvA9EKdtRD0QpBv/4HUMWHyUm4gC2bKkxt+ZTfthW38CzRFwsvHBL8jVmHZzGVFt0kjU753wLocQLAQvRgw8+4HBvg6UbfaStFiAs7NYhOlhuyaDAcgwST+o7dur0E32SLS8a3kFhx8kLwCWNGzdWxSRebV/JRNusmE4fshgj3hOwMHfv3s3NmzfPLVu2zFu9IVLFNBtCgCgLcSvEGVGYQm/EccfgBI4SnGzcsMHNmzvXj7kIMfjB4CHKtagtcVcCGs6ZMydnfGLbopAktGX2XXd5Dkll0BbaywFdjQ/zD4K+fNkyz/3tqfU/qG/eqY1aa8/CRccHPGFJGCB4dMh6DgSiFDMCmP2eduopXu9hxTQxWeslcTZF4hJxGSx2xLkB0BtIt0GogiRg8YsD6ZD+y4iOEIN16tjBczhx38SlEcQPDxEsQn99/PGcKIcFn/K4wrkoXIIICRwPu3EbCiGufJsGTgCr/+AZwsBCmtRXHTC1fbXl5rtf+OCDrk2b1rnNAXnVDsaTMSHQ3V/+8pgvhnFBtMViz3ue6bOILGngBGCzgjcG4YS0uXPnOkR3pQAHWzlQS13axPA9z+icIILUC2fDWOGIFQJKGmMEILrlDBgRjxEp3n///Z5Tpx+F9JNqq/DC+GAVaJ3SKk9zuwZOKdsRD0QpAf9YhCGSAfiRW9Bipau1NCMN8RXAlYWHA4w2YCALnNULkFdneWw90XvLCdh36CAQ95QKiIB69erhOS0cwNIP2sXCO6D/pX5x5BkRn85PYbRx/fUTvWgJbkMgXOjKYiozetIowxsDHDjguZT27drq09grnFcxEOVsWOCJtGoP5saND2Mwe/ZsbzCyZMkST4S1ocBlFLiGMCMuQ1SJ0QZRiM88s6UnUHDREBAIA1yZwooU02bynHTSiV4U+P33NT4FZdWIVZ/luNQWuDz0PkMGD/K4x7IS0/D777vPn9WinQCGJxAY5lNUNAkhJY1xoW/R8XnooXXuggt6FduFgzZfIErZDm0gSnnw369fHy9iYueKm5e/P/ecP32/Y/t2Lz6J04Gge5B4iSu7V3QXLJbikuKqtCLBuPfskJOAKKM4Di0Xtm/f5s444zSva2nd6kzXtu25ObESiz6Ll3bUElXipw5DARbAQgBO8GDAAv7NN/s9V4KXgyTI19ekb5QOLuK8nOu9HR+Z8+Ma6J558zzhFXGgzxBkiegQr+GNHctHxhLRGbpGRHdnndVaxRd95RwTZYuYWNP9f/72m+cgbVvYAHBEARzOv/fenE4Pgklbfv65ziqyVN+BdnwYe4mbi+7MQZYxEKVsBzQQpTz4/+WXAw6FNA40x4wZ7d2/wD1NnTrFTZo0wXtj7tati3dNg7gJWb52nxTLDp2zIpwjigI6EIAdrRafaB77LPNqm6Z72iBxodJKvWL8gO4F32yWeMLlQJDoFyIhxXRiMYULHGvOwYhIy1Bgd204cNom/QcLIPngRK31mW1vvr7afNF79Gso+NWOH3/8wTswZUGHs0FUaccH82sAPRlWgIMGDfQETVwsfYejgOvDCOGGKVNyloeUN3PGDNehQ/tEEWS0ffYZP4YLFy7MJaktanuUMIND0hgDODQLtAXDBd5jEg7hErGr398aoxmMWRjTuPGh/j59etvim919IErZDnkgSingnwUBS6rFixflFkSKRV+CGxycu5YCb75RY4rOYqhFKu57FlP0PPhYSwtwgcOhXESWiLA44MqO3pqjy5cddeJNfeuWLb56WSmygEoUhkKdRV5iPQgw54dYPDFE4KCpdFiF+hrtI2UIasJ6tK/XDggt7QdoD1yNrYMNgeJk0U4W6p07d7rx48b6jQiGGPizu/nmm7xPQ8RfEClwc//993lxmsWL2lLMFS8QN06blstq28K9otSSAZEbZ5kgrtJlgU/qRveEftLmZ9yUj+/lBFjjw8ZAIua48WETpk1EroHN6CYQpWwHOxCllPCP8hnlelSMhlNNLM0qBYgG8dGXFrCLJlw21mT8HX74oW7ihAmxxUNwWRgV3+fl2thNvxmHrRADCJHEYCqI8OGIieBAjzjiMK/Ih6O85555DhdP9g8lP1ZnScAijlUhFmmA2sG92iIiKSKksmhXnLhPOjSJLckvDop3ioekckq94vwVomwhX1vgXtmkAGoHbWMDkKRrlL5NGwKLF3FicePDmbliz1vZ9h8s94EoZTuSgSiliH84DBZQC4hbcPQJIFKR5ZTysCiwqCYBTlAlTmNRkgWe8qPwlmWY0tK46oAsbcMDNt4p7pw1yzt5VfkyDx839jpvtQVBk7gIERImyOzY7VkofctVeeEEcFTauvWZOWLY+bxO3qs2hB63OligobuBM6O/b+/Z4zkHcHreeR3rHXSFc4AboHwWbggn7bAObm074CC0cCsdHRJcFX0SSH/GOBR7KFrfxl3RZYnQ6D1tsVwO6bQFPZFto7XYIw9clAipyoKLtgBeKAtClm98mG/ymWe/by73gShlO9KBKKWIfxZC3PqwqMhiD/1I27bnFF0LRAwvDMUAC1hcDKdivi01D0SKszUo6BFhCSA8eJ8eNKgmFLzSlUe6M9Kt2C/O0enmTZscITpYfGfdcYePB8R35AUvAMQJTxaIv9jNw81h+Qa+MWfmkGh0Uact/LEYA3Z8IFRxOj3EWw8/XBMWXue0aANtgViNHVvnU84XWsY/XCnhsUEiQLUFIs25LsS+l156iTv55JPcCScc5wYPGpg71A2ngzsiAUQGUR4unSzgxBZChDdxixdtFOLGh7GOjqct82C/D0Qp2xEORCll/Pft29v7mlOYB4rHvxiirjTAEiwW73weo9OoL1rGunXr/C4aAgynBOcHB3HKKSfVsyZDGW8Pa7IgsrsXdxUtl8URHZHMoeEgOUdFGosqf+IUcD7LOSfeL1u61Cv5xcVQLodPaR9cFIQbYmQXZPQzdnxsWzDdh7sijwDOAU4EK0yIHwt8WiJZdGFwgwMvv8yfdTq/83muf/9L3MSJExyukAjLDgcE14cHDkz48YEH4cDyTjjhGaJkgf5bLhq8gFfKyjc+iBHxOt9cIRClbEc+EKWU8Y8Ij7Me8ifHYsgfptZ2V2rv1QQWPgvsyNk15wN0Mkk6hXzflfuOxb5Tp45+J2/L4LAxHitYtEUARJQgGBAbxEksonqv78EV4inbVywBL7n4Ih/9F4KONwo4Irg1rA2xgmRBR6fWs2cPp6CGlAnXQD1wA9Ql8R3vWIxZmGW2r0WddyzstN9yG+Ql2KPyg2vEboq6qz5U68oc6dunt4MDQrQq0S71w8lh8BCdR2obeKF/AERe4wN+iJDbp3dvf6CYjZXy6dvmdA1EKdvRDkSpAvi/+OKLvHWWVe6z2yUcRhSwctLCwgL6ae0hyGg+nlGORwHlPou0yoi+r8QzCx9xnSQOgxtBjAbBSgK4DBZCwBIC5Y/qQ0jHRBvze3zN4YGB4HZr1qzRJ7krfQcH8tCQexFzI48FlvOy2ViM4xZ1jAtYvDt37uQIPZElEFjymGOOzhk80BbMuyGUcKN23hXTTvqDRwjElH/847+7rVtrrCmL+fZgzBOIUrajGohSBfDPjpRFlLM4iFjgFOAEvOeF7dvriVSs2KmcpiA+W7F8uT9Hw2IlqypEUCzSHPaEe8MTg4hCOfVEv0GExYHbhx56yIvIIEoQGxkviGBhKAAHgtk8uLDEU05BsRIDD8/U6tL4Bp0Ooqpigf4iQnzl5Zdzxgm2LRB8uB4O73I4NWrAIEMCvqEdtBUgHwSVvmG+DmFsCnDYYYc4DgoDcNRwgHCaGE7IOu9LY6RBPvoiLlJ6LKwar756pB8fHPdeddXwptC9TNsQiFKm6HeBKFUQ/1iNtWhxlJfPI47C3Jnw1PhOs6DF06bF3UN0AFlVIRJjQQJYOFlcIA76wxAA1zGYV3NPjCi5TvIfNfIfC1uXLp098YWrwSceCz8AAWTHzsHOfEB+PGVYQEQ2Yfw47zTWphe65zwOZtYQEEvs4UYp0+pXomXBHZFHOi29Jw1RK/GievSob8KtPFlcjz22heveras/G0f9mge0VxDlSHnW+HDdtu0R16tnj5yhxbfec/thXl/HYWE2HM0RAlHKdtQDUaow/rHswoUQIhKU48VabcEpiOuJNlFciE2H6wDgROLET7yDqyKcA7F80gIWfxTvOBglbtO114zxhhAYIbCw4eV65swZHgccTCVyKmI+FlEIFx4vwJEOwtJ+wn5DzKNmz8W0GcI/YsQwt2PH9tjsKP9ZnLkKaMvatWt9O+C4pE/hivUkXBYGJRD4pgLHH3+sj/tE3C98K7IpgUOCYwKiXjFkuCFCReRZNis450U3xdxgznF+DIe16O/Gjx/nhg69Mmf52FT6Xul2BKJUaQznLz8Qpfz4SfUtCntCWcTBhvXr45Jj05I8a8dmdq6es1AIGosRxClt6NLlfL+wQUwgLsR7YrEkBhGLHJZyiJwwYMCKkHyI9rRQsvgDvS/o5YlVue1jYSWSLJ4YpEMSoRHBtkQJ4kg7VD/1cg+XB8FCZ3bIIX9IPG9Vbjsb892f/nS8N0+PliHxKG1XfxDrgWueEe/BMdJnvDnwTjjBMEScLeXwDaLfTp06NKm+R/uc9nMgSmljtLTyAlEqDV+Nyo2lWJJJdKGC48718E2+MNbPPftsbLEsTElhyGM/KDKxT58L/K4bsR2L3ZZa90Ms7FiGsQgCmC5joUg0VXwGkhcgDwd12Z2nAZhWw8Eh0oLwwZGxMKMPgwslDVwkEXkIFd7T4SIQiTYlgChhtYgOTZacePaAwIB/6xkdAgNHCsDZqs9J48O3jIkMJvAav3TpkqbU/Yq2JRCliqK3YOGBKBVEUXoZCD8gosRiB7A44gtOoAVcz7qyYEeBRTN63obvCwGL1KGH/tFzB4XyFvueRUwRWb/88gu3f3+d01DLlSC6gzghMmKh5BAsYj7+OCCKubXVixRbf1y+f/7zN18unCHAgi3xFs+IuOAa4KbAiQ78QqzAKxyeAKIEd9FU4Oijj/ScKO356KMPfWgUtQ0RJBwxfQIgxOjK9EyaxHncx42POEy+43uIe3OBQJSyHelAlKqIf3y9FQpRgbirUoDnBRamtWvXpL7zRzwGYWFBh6i8//57frfNM0B4DADrLwhY1LydNhEHqRLQru25XgSnnT9tYTMAkcL67MCBn3PVKg8J8ujAPURJsY9ymTO8oT2I1+gDmxN5nYB7gtDCDUmvJAMP6e3wmgH3xzgUOz59+/ZpNoYPgShlOLGdC9Z31UQ/MYWKNSl+z3jApo0S0ZTSXriROGD327Ll6XGvyk6D2HEOi7KtOIyFD1NkFlAA1zpYH1riS34it2oRLbsRCR8SfoQ/QHXAMT355JNeBybzbwimuCGU/gCL+18ee8x17FjjgdwnNoF/+PvjjBo+APd9/LHbt69mM6N2w90IovOAMTrwcw0hLnZ8EA2edtopbsqU64viZCH6zFk8ZPzeIBClbEcscEpVxj8OVK1YKE4sV6hJEgEqXz4P2spjr4jNsKxKGzBs6Nq1ixcNaVEkEio7eR2OfeqpJ+tVyyJKnCJ0SZUCCCaez99443UvikKvgkm0uATqZRwgTogWIaAcYiYyL2Ec0H3F+cerVHuLKRe/dz17dnfTp9ecVbLfQAjghCzQVwiQxL3Fjg/HD/B0z7fU16ljB4c+ywYlVD04fMU9EQSTgIg11qbX+aCRaXqyV32VugaiVCnMFlduIErF4Sm1XMTnscChVkGSF2u911XiGD3bq8Q4pGE1ZhXeyofSGhPoSgBOVwl3obNU1ME5IXRJcr0EtwJRYGHE5xveGNhZVxKwyGMxxcgCZ6cQIf5WrVrlz4+xiKITI4YSOqg2bc7y/eDAc1MFTPEVnp02oqe0eqNi2500PnHfQ5yWLFnsxZkEupRjV+YaPvxWrlzh24AxiQUI1dtv77FJTfY+EKVshyYQpSrjX2EsClVLTJtiAJc/LAhJoMOS9v0114zJidNselr3eJJAP0ScJfyoYWnHLrtH927eT90FF/T0hAgdFCbH1QLEdbgJot5hw670gRmvvHKIX0ghVOhaduzY4f/wC5fPbVK12pyvHtqH2TuEFN98cIAQeqsX4/u4jYmCAiLGZJMDYYKjBcRFwXHBPWIAwibDHvK+885Z3kyeDQg4bd26lcNKD5A4FO5MZVH+qaeeXC8Yoc/cBP8FopTtoASiVEX8o7OwYjNEMC9EdpTR5qBv0cHY6Duev651hxP3Li4Nr9NEl23OgN5IlnYHAx7atWvr/QSe+KcTchZ5lqDCmcLh6DAw93BUIl48w2Hz3or9eM/8xKLz/ffec999920OXXBl6AoJMYIzXgwv5MgW6z9cFgG2HZs2bXKXXdY/V0ZTvQlEKduRCUSpivjH8g5vBdUAFgN8nz3wwP0+ON+1117j4JAIiYCiO8DBg4Ebb5zm/vrXv/o/DidLpAaBgTjArWjMxbmo9zx/9umnnvBY4xO9x0jC6t6UDqeFlaW4MHFZvOcALtwXxEmAwQhm6PgPxKtHU4ZAlLIdnUCUqoR//LKhP0kybEA0wo4VsGdpos1LOsekfIT7Jqw4Yiks/TZt2uiNDOSAU/nC9eDBwEsvvegNDNiIYLotAgEnEwWs7qwYDgKCWTnAeSeBrBQhVMwdjFii8Owzz9TjrPRe8/jDDz5QkueqeKAsdIhRi8BcxiZwE4hStoMQiFIV8I8zT8Qb7BYbAywmmP9GAf9yAg5ComMI0LwwcMYZNSb+14wZ4xYtXJjY+Thjgy8+/zynB+JDeRmX5wvSICbWiIbD0Zz3gosiv7UIxXgHgpUEBCskgnE5RhlJZaaZHohSmtgsvaxAlErHWUlfYLCAc9Jvar1lwzFZ+M9//SvnjFTpmO1qt6u0Yq+33nKL27u3Lmpqsd+FfL9vDMAV4wkeMd25557jDUjE7YhgIKqDi4mK8NRzWXVyZAFTfgtw7xg7aF5iVMHZLWvir8O5Kh/dnTj0aFuIOYaxRFOEQJSyHZVAlCqIfzwxc26n0ubO6gIHbjFtDtD8MPC///v//NjDJcO5XDNmtNff4FuwEGDGD3AuS/dwRd99+21On4RhCNwR1omCn3780VtXQphwayQCxHtZfWrux+mlMBP/8MM6EZ/KzfoaiFK2IxCIUgXwj9saYhuhgLY/1FKq4gBnkh877WhVHs/Tb73VXXRRP/fpp3UhGfQ+XJsPBsaMGe1mzbrDW2xy3grP7ZyNw0wffabCnsC5wNHA8Ui/81Gt30SJmaPiNeZjNA3uCK/vmHxj9CC/hbLsg7NCtyU9k0YCS9SVK1e69u3bNninPFldA1HKCvM19QailDL+169f7z0AEKcmCohACKRWCqADiC4EspLCugprvssuG+AWLJif97xSKXWGvL9fDEB4cKk0atRIf24Ii0vOZRGMkXuZfVsPFRLJqdd4ZmAz9VZtjC6lc4XwyLoPbgpxIQeNLTBfIVY6r6QzUTYPlngQqx49ujcIemnzZXEfiFIWWK+rMxClOlw0+o5zHOeec3Zu55mvQH7McSKNfN/oHbL6O+643ccMQpcg6ym9D9eAgTgMDB480M2cOdNzJi+9+GIui7XGI5F5qblpuXK4G4C5K6L23HPPuusnTcyVpRvLGcGNxQHn70499ZScWXlcnizSAlHKAut1dQaiVIeLRt9xDumvkTMYUv4mFZ5kIh6Xn10q543wx4ZX7Xym43Hfh7TmjQFEwr169fBh5rmX8QFiPHRGzEUIFNwUBAjiA7eDaI4zR8xlxfXCQAdz8vvvv88tmD/ffyOOS8Y7+BpUGlw95QISS2/dutUNHHhZkxuUQJSyHZJAlFLE/4oVy3P+3eKKRfkbPe+Bs8skWPjgg/4Vimv0U5xBkfw/6ZuQHjCQDwMQF2JWXXhhP39olrxw2pxv+8dHH8V+CsGSjijq0mrKlMneOas4KxWABd/PP/3kPYVbbgudE855OVuFOLFYd1oqtxrXQJSqgeXkOgJRSsZNyW+2bt3iduzYXvJ30Q9ef+01h7PN66+f5PAqPnjwIG96G10Qot+F54CBYjGA41QcqC5ftixnIg6nhMNaDuHKYEacDmftrJgYDgoHu0OGDPLiQIXMQM8kzss65VW7EOvJbdaAAf1znJTeN4VrIErZjkIgSinin8B1cEvlAiKVywb0d3PmzHYYSiC316JQbpnhu4CBJAwgfrvwwr7euzgHZWWZp/yYfENgcFeFKyL7XqK/1atXe8MHxaHSt4gBf/vt13pRlREH2nwcXyjXOlX1VOIaiFIlsFp8mYEoFY+rgjkxpeUAowV2k9bJJe8UhdXm27x5k7tt+q1u48YNNjncBwxUFAPoJTnIGoXdr77qfvzxBx9fCu4H58FY3UmMp/NMXAk0CEiEh3gO4wbrjNWWr3z46eMsX1ODQJSyHZFAlFLEP6awhGtIAu0SdaDQ5oN4IaYLEDBQbQy0b9/O+2XkWAFiOo4h4K4KwoLZNvOVuY34eNejj3o9kY4pWE4H0295CqcPsupDJBgHr+3e7a3vZDoelyeLtECUssB6XZ2BKNXhIpW7UVePTCwn7uwSmbds2eJDTQdrukTUhRcVxADnmCAMBO9recbpbvr0W501GX/6qbpAlIiTvUl4rQdwa7gDZ4S+SBZ6Ok9H0xEDLl68yPuAtCHSN2/e7GMx6exTBbtZdNGBKBWNqopkDEQpZbTyA9cukh+6dovRarBIIkQ0B1/5EegMSDRfeA4YqDQGMNAhECOWcRAWdJpEJ0bMhl4zGnvqqVoixQFYGd/ATUGgiP+lM0qYkCMBUAgLoh23Oau1mzdvbs7p67PPPuOt93r27JEjZpXub6HyA1EqhKHKvg9EKWX84uJlz1tv5T1DhIk3oSXQI/3P//xpmYhdAAAHhklEQVTflFsQigsYKB0Dq1atdN27d3Mrli93X3/9lRs8aKDDZZHldrhn7sLRw/kIFFMJcR/B/yyIaMmab9PGjTlXRORDH8VRCcSE1EcbCAaYJQSilCX2nQtEKWX879y5w9180405h5S2eHaTiDfwixdn7GDzhvuAgWpjAK6eUPUnnHC8u+66a1yvnj3cKaec7ONzYWW3bt06785q0aK60BjyJo5xg8CajitNV7gvLPcQAUqiwDvCz2NEwUHdE088wTuH1TfVvgaiVG2M168vEKX6+Gj0E7vFzp3P8z+uuMIeeughh7sX+4OMyxfSAgaywgCeu/EGvnDhQu/OasaM29zMmTPcjBnT/SFuDr3C0ezatcs3Ecs8O5/x2ADxkRiPTJxZkhUqXJbPU3tYV6JrODF5fujTp3dW3ffidDjHANlgIBClCuCdXWDXruf73eajjz7qd4aEqx4+bKgbPnxYBWoMRQYMVBcDEBk4GnRPEBn+ZOqNd4g42LBhvU/G4SuckUBeHdjQCfA48f333+mxqtfAKVUV3Q0qC0SpAUrSSfjv//4v98wzz3jfYDhPffDBB1wxsW3SqT2UEjBQeQzg8qp7964NziOJSKkF6JWsdwfuOR4Bt0RewB7MJe2Wm2/OzHt4IEoauWyugShlg/dQa8DAQYGBadOmukceedjJzRCdkphOXh+SOirOivciSnBL+/Z97O6//363fXvjXXYl1Z0vPRClfNip/LtAlCqP41BDwMBBi4HJkyf5+E3qIMYKB37+2Zt3P/fcc0r2hg16QLwNyIXW66+/plc+beOGDW758uX1otzmMlThJhClKiA5TxWBKOVBTngVMBAwkIwBzjS1a3euGzr0Sp8JsRsEB66Jc3jifngpYwZ7rxAWMhv/29/+lqtszuzZDk/jWUAgSllgva7OQJTqcBHuAgYCBkrAAM6HCany7//+f3IiOz7H0CEaR8yK6rjnUO7evXt9beiX9P6dd972BG3mjBmOAIJZQCBKWWC9rs5AlOpwEe4CBgIGSsDAySef6GMjderYwXtygEOSVd3339VYzv388085gkPRcFMKbGkP5uJrz8LkydcHTskipBndB6LUjAY7dDVgIC0MoA+CQ4LAcMUVkSzsIDz4soPoEB4DIA1AvKd7nglyyXkmBQIUx8Q5Ic5KZQGBU8oC63V1BqJUh4twFzAQMFACBiBGcDjndz7Puw6S1R2ew/HqgM87XBIp3AVF44wVt0KAjaIsDot0CB3HKAiXngUEopQF1uvqDESpDhfhLmAgYKAEDBxxxGHu0Ud3eu8Ov/36qyN0BYEqxQlxxacdRIZYYwDGDbrn/Xvvvuv27//av4NLgshx5aDttm2PlNCa9LIGopQeLsspKRClcrAWvgkYCBhwI0YMc3Pn3u3atj3HrVm92hMTxHE4bQUQ1XGAHJAeiRhKuvcvnHPvv/9eTnyH53E4qClTJmd22DwQJY1MNtdAlLLBe6g1YOB3jwHMvHGbRWDLAQP6u5Ejr3Lz773X65HQE8El8ZcE6JsIdQFgXv7883/355Qef/wv3k0XaVlAIEpZYL2uzkCU6nAR7gIGAgbKwMC2bdtchw7tvEutfv36ujfeeKNBKeiYnnjiCR/FFjEf8K9//Ye/StzHA8YS55/f2T3ySDaiO9oQiJIflsz+BaKUGepDxQEDBw8GfvrpR9e5cyfXr28fHyTw+eefd4jiBN/s3+8NIs45u423zFM6oj5Z3HF2CQ/7xBnLEgJRyhL7IZ5SttgPtQcMHEQY+O23X93o0aO8GI9uoTuSSbi6uWDBfC/u+8c/PvJEa8mSJe7OO2e5K4YM9s5dszJuUPu4BqJksVH9+8ApVR/nocaAgYMaA926dXUTxo/31ni2owppsXfvO/5s02GHHeI9QqxZs9qbkNu8Wd4HopQl9gOnlC32Q+0BAwchBhDH9erV040fPy5nyIAZOJGXCeHSo0d3ByGyQQCbEhoCUcp2NAKnlC3+Q+0BAwctBl555RU3ceIEd/HFF/qzTJdeerGbPv1Wf9C2KXc6EKVsRycQpWzxH2oPGAgYaGIYCEQp2wEJRClb/IfaAwYCBpoYBgJRynZAAlHKFv+h9oCBgIEmhoFAlLIdkECUssV/qD1gIGCgiWEgEKVsByQQpWzxH2oPGAgYaGIYCEQp2wEJRClb/IfaAwYCBpoYBgJRynZAAlHKFv+h9oCBgIEmhoFAlLIdkECUssV/qD1gIGCgiWEgEKVsByQQpWzxH2oPGAgYaGIYCEQp2wEJRClb/IfaAwYCBpoYBgJRynZAAlHKFv+h9oCBgIEmhoFAlLIdkECUssV/qD1gIGCgiWEgEKVsByQQpWzxH2oPGAgYaGIYCEQp2wEJRClb/IfaAwYCBpoYBgJRynZAAlHKFv+h9oCBgIEmhoFAlLIdkBxRGjr0CjdnzuzwF3AQ5kCYAwf9HIDwJP3169fHrVq1MtuVuRnX7onSunVr3dSpN4S/gIMwB8IcCHNg6g1uz549zZgsZNt1T5SybUKoPWAgYCBgIGAgYKAGA4EohZkQMBAwEDAQMNBkMPD/AQcO01WLV9STAAAAAElFTkSuQmCC\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n </p>\n <p style=\"text-align:center;\">\n  <sup>\n   [Source: Material from: Stauch, B., Johansson, L.C., McCorvy, J.D.,\n  </sup>\n  <br/>\n  <sup>\n   et al., Structural basis of ligand recognition at the human MT1\n  </sup>\n  <br/>\n  <sup>\n   melatonin receptor, published 2019,\n   <em>\n    Nature\n   </em>\n   , reproduced with\n  </sup>\n  <br/>\n  <sup>\n   permission of SNCSC.]\n  </sup>\n </p>\n <p>\n  phospholipid shown in either the upper or lower half of the membrane only with its head at the margin of the membrane and tails towards centre;\n </p>\n <p>\n  <em>\n   Accept answers with two or more phospholipids shown, as long as all are correct.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  beta pleated sheet/beta-loop/beta strands;\n </p>\n <p>\n  <em>\n   Reject ‘beta helix’\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  polar/hydrophilic where exposed to the cytoplasm/to fluid outside cell/to polar phospholipid heads;\n  <br/>\n  non-polar/hydrophobic where exposed to the (core of the) membrane/hydrophobic tails (of phospholipids);\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   control/maintain/regulate circadian rhythms;\n  </li>\n  <li>\n   secreted/released late evening/end of day/in dark/night time/dim light/absence of blue light;\n  </li>\n  <li>\n   helps to induce sleep/sleepiness/influences timing of sleeping/waking/control sleep cycle;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award mpb unless the answer is referring to secretion, not just correlations.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "b1-2-6-chemical-diversity-in-the-r-groups-of-amino-acids-as-a-basis-for-the-immense-diversity-in-protein-form-and-function",
+      "b1-2-8-pleating-and-coiling-of-secondary-structure-of-proteins",
+      "b1-2-proteins",
+      "b2-1-14-gated-ion-channels-in-neurons",
+      "b2-1-membranes-and-membrane-transport",
+      "c3-1-11-modulation-of-sleep-patterns-by-melatonin-secretion-as-a-part-of-circadian-rhythms",
+      "c3-1-integration-of-body-systems"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.22",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate how long all the heart chambers are in diastole at the same time.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the letter on an ECG corresponding with the events from 0.0 to 0.1 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the state of the heart valves at 0.3 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how cardiac muscle is adapted to its function.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.4 s;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  P;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   atrioventricular/AV valves closed;\n  </li>\n  <li>\n   semi-lunar valves open;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   many mitochondria for aerobic respiration;\n  </li>\n  <li>\n   cells are branched allowing for faster transmission/allow impulse to spread;\n  </li>\n  <li>\n   cardiac muscle is myogenic so does not require the CNS to initiate contraction;\n  </li>\n  <li>\n   cells are not fused together/are connected by gap junctions/intercalated discs (which) allows easier transmission between cells;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-16-stages-in-the-cardiac-cycle",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.23",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State where in the body the blood would be flowing at point X on the graph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the reason that the curve for fetal hemoglobin is to the left of normal adult hemoglobin.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  lungs/alveoli;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   fetal hemoglobin has a higher affinity for oxygen then normal hemoglobin;\n  </li>\n  <li>\n   oxygen will pass from normal/maternal/mother’s hemoglobin to fetal hemoglobin (in the placenta);\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-1-12-bohr-shift",
+      "b3-1-13-oxygen-dissociation-curves-as-a-means-of-representing-the-affinity-of-haemoglobin-for-oxygen-at-different-oxygen-concentrations",
+      "b3-1-gas-exchange"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how natural selection could increase the prevalence of an antibiotic resistance gene in a species of soil bacterium.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   There are viruses in soils that are pathogens of animals. Outline a reason for antibiotics in soil not eliminating these viruses.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the reasons for antibiotics secreted into soil not harming insects or other animals in the soil.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   if antibiotic is in the environment/soil there is selection (pressure);\n  </li>\n  <li>\n   bacteria without resistance (gene) die / converse;\n  </li>\n  <li>\n   bacteria with resistance (gene) reproduce\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   bacteria exchange/obtain resistance genes using plasmids/by conjugation;\n  </li>\n  <li>\n   offspring inherit (the gene for) resistance/resistance passed on (to offspring);\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award marks for general statements about natural selection – answers must refer to antibiotic resistance.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   if antibiotic is in the environment/soil there is selection (pressure);\n  </li>\n  <li>\n   bacteria without resistance (gene) die / converse;\n  </li>\n  <li>\n   bacteria with resistance (gene) reproduce\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   bacteria exchange/obtain resistance genes using plasmids/by conjugation;\n  </li>\n  <li>\n   offspring inherit (the gene for) resistance/resistance passed on (to offspring);\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award marks for general statements about natural selection – answers must refer to antibiotic resistance.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   viruses lack metabolism/plasma membranes/cell walls / viruses are not livingorganisms;\n  </li>\n  <li>\n   antibiotics kill/target bacteria/prokaryotes but not viruses;\n  </li>\n  <li>\n   viral pathogens of animals use animal metabolism (which is not affected by antibiotics);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   antibiotics (only) affect/kill/block processes in bacteria/prokaryotes / do not affect eukaryotes;\n  </li>\n  <li>\n   metabolism/protein synthesis/ribosomes/cell walls not targeted in insects/animals/eukaryotes;\n  </li>\n  <li>\n   no cell walls in animals (so antibiotics cannot attack cell walls);\n  </li>\n  <li>\n   antibiotics are secreted (by microbes/fungi) to prevent competition (with other microbes);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c3-2-13-antibiotics-as-chemicals-that-block-processes-occurring-in-bacteria-but-not-in-eukaryotic-cells",
+      "c3-2-14-evolution-of-resistance-to-several-antibiotics-in-strains-of-pathogenic-bacteria",
+      "c3-2-defence-against-disease",
+      "d4-1-15-artificial-selection-by-deliberate-choice-of-traits",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of ADH in osmoregulation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the regulation of metabolic pathways by end-product inhibition.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the hormone feedback mechanisms that help to prepare a woman’s body for pregnancy, sustain the pregnancy and then give birth.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   ADH (secreted by pituitary) if body/blood is dehydrated/hypertonic/has high solute concentration;\n  </li>\n  <li>\n   more aquaporins / aquaporins open (in collecting duct);\n  </li>\n  <li>\n   collecting duct more permeable to water/reabsorbs more water (from filtrate/urine);\n  </li>\n  <li>\n   water reabsorbed by osmosis/water reabsorbed because medulla is hypertonic;\n  </li>\n  <li>\n   (reabsorbed) water passes (from filtrate) to blood / blood solute concentration reduced;\n  </li>\n  <li>\n   less water lost in urine / smaller volume of (more concentrated) urine;\n  </li>\n  <li>\n   negative feedback / less/no ADH secreted when blood solute concentration returns to normal;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not accept answers suggesting that ADH has a different effect when body fluids are hypotonic.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   ADH (secreted by pituitary) if body/blood is dehydrated/hypertonic/has high solute concentration;\n  </li>\n  <li>\n   more aquaporins / aquaporins open (in collecting duct);\n  </li>\n  <li>\n   collecting duct more permeable to water/reabsorbs more water (from filtrate/urine);\n  </li>\n  <li>\n   water reabsorbed by osmosis/water reabsorbed because medulla is hypertonic;\n  </li>\n  <li>\n   (reabsorbed) water passes (from filtrate) to blood / blood solute concentration reduced;\n  </li>\n  <li>\n   less water lost in urine / smaller volume of (more concentrated) urine;\n  </li>\n  <li>\n   negative feedback / less/no ADH secreted when blood solute concentration returns to normal;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not accept answers suggesting that ADH has a different effect when body fluids are hypotonic.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   final product in pathway acts as an inhibitor/blocks (reaction)/slows (reaction);\n  </li>\n  <li>\n   first/early/earlier enzyme (in pathway is inhibited);\n  </li>\n  <li>\n   non-competitive / binds at allosteric site / causes active site to change;\n  </li>\n  <li>\n   production of end-product reduced/paused when there is an excess;\n  </li>\n  <li>\n   isoleucine inhibits enzyme using threonine as substrate at start of pathway to isoleucine;\n  </li>\n  <li>\n   negative feedback / production restarts when end-product used up/concentration drops;\n  </li>\n </ol>\n <p>\n  <em>\n   For mpe accept other examples of end-product inhibition if verified. Please add a note in such cases.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Preparing the woman’s body for pregnancy\n  </em>\n </p>\n <p>\n  a. FSH stimulates estrogen secretion (by the developing follicle);\n  <br/>\n  b. estrogen increases FSH receptors so boosting estrogen production/so causing positive feedback;\n  <br/>\n  c. estrogen stimulates repair/thickening of the endometrium/uterus lining;\n  <br/>\n  d.\n  <span style=\"text-decoration:underline;\">\n   high levels of estrogen\n  </span>\n  stimulate LH production/inhibit FSH secretion (negative feedback);\n  <br/>\n  e. LH (surge/peak) stimulates ovulation;\n </p>\n <p>\n  <em>\n   Sustaining pregnancy\n  </em>\n </p>\n <p>\n  f. LH stimulates the development of corpus luteum / corpus luteum secretes progesterone;\n  <br/>\n  g. progesterone inhibits FSH/LH secretion (negative feedback);\n  <br/>\n  h. progesterone maintains lining of uterus/endometrium (for pregnancy/implant of embryo);\n  <br/>\n  i. progesterone inhibits uterine contractions;\n  <br/>\n  j. HCG (secreted by embryo) stimulates maintenance of corpus luteum;\n </p>\n <p>\n  <em>\n   Childbirth\n  </em>\n </p>\n <p>\n  k. oxytocin stimulates uterine/myometrial contractions which stimulate oxytocin secretion;\n  <br/>\n  l. positive feedback (mechanism used to stimulate childbirth);\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-1-16-regulation-of-metabolic-pathways-by-feedback-inhibition",
+      "c1-1-enzymes-and-metabolism",
+      "d3-1-19-hormonal-control-of-pregnancy-and-childbirth",
+      "d3-1-reproduction",
+      "d3-3-10-osmoregulation-by-water-reabsorption-in-the-collecting-ducts",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the changes to chromosomes that occur during prophase in the first division of meiosis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how plants are named and classified, including recognition features of plant phyla.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the processes that are carried out by enzymes that bind to DNA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the effects that the environment can have on DNA in living organisms.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   pairing/synapsis of homologous chromosomes / homologous chromosomes form bivalents;\n  </li>\n  <li>\n   crossing over / chromatid breaks then rejoins to non-sister chromatid;\n  </li>\n  <li>\n   exchange of DNA/alleles/genetic information between chromatids/chromosomes;\n  </li>\n  <li>\n   recombination / new combinations of alleles/genes generated;\n  </li>\n  <li>\n   condensation/shortening/thickening/supercoiling of chromatids/chromosomes;\n  </li>\n  <li>\n   formation of a chiasma where crossing over occurred;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   binomial naming\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   genus and species name;\n  </li>\n  <li>\n   plants constitute a kingdom\n  </li>\n  <li>\n   plants are eukaryotes/belong to the domain eukaryota\n  </li>\n  <li>\n   classified using a hierarchy of taxa\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   kingdom, phylum, class, order, family, genus, species\n  </li>\n  <li>\n   bryophyta/filicinophyta/coniferophyte/angiospermophyta is a\n   <span style=\"text-decoration:underline;\">\n    phylum\n   </span>\n   (of plants);\n  </li>\n  <li>\n   bryophytes have only rhizoids/spores (produced in a capsule)/no roots/ no vascular tissue;\n  </li>\n  <li>\n   filicinophytes have stems/roots/xylem-phloem/reproduce by spores/leaves that uncurl; but no seeds\n  </li>\n  <li>\n   coniferophytes have seeds in cones/ vascular tissue/xylem-phloem/cambium/ but no flowers/no fruits\n  </li>\n  <li>\n   angiospermophytes have flowers/produce seeds/produce fruits/vascular tissue/xylem-phloem;\n  </li>\n  <li>\n   named example showing of the classification of a plant from species to domain or vice versa\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    cladistics\n   </span>\n   is used to reclassify groups of plants\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   named example of a group of plants reclassified by\n   <span style=\"text-decoration:underline;\">\n    cladistics\n   </span>\n   ;\n  </li>\n  <li>\n   use a dichotomous key to discriminate among plant features\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Each phylum of plants requires at least 2 features for the mark.\n  </em>\n </p>\n <p>\n  <em>\n   Mp-e does not require all 4 phyla to be named.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   replication\n  </em>\n </p>\n <p>\n  a. helicase unwinds the double helix/DNA;\n  <br/>\n  b. helicase breaks hydrogen bonds between/separates/unzips DNA strands;\n  <br/>\n  c. (DNA) gyrase/topoisomerase releases tensions in DNA as it unwinds;\n  <br/>\n  d. (DNA) primase adds\n  <span style=\"text-decoration:underline;\">\n   RNA\n  </span>\n  primers (where DNA polymerase can bind);\n  <br/>\n  e. DNA polymerase (III) replicates DNA/adds nucleotides (to make new strand);\n  <br/>\n  f. DNA polymerase I replaces RNA (primers) with DNA;\n  <br/>\n  g. DNA ligase seals nicks/joins sugar-phosphate backbones/joins (Okazaki)fragments;\n </p>\n <p>\n  <em>\n   transcription\n  </em>\n </p>\n <p>\n  h. RNA polymerase used for transcription;\n  <br/>\n  i. RNA polymerase unwinds / separates DNA strands / binds to the promoter;\n  <br/>\n  j. RNA polymerase copies DNA base sequence of a gene/makes mRNA;\n  <br/>\n  k. restriction enzymes/endonucleases cut DNA at specific base sequences;\n  <br/>\n  l. telomerase adds nucleotides to the ends of chromosomes/makes telomeres;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Mutation\n  </em>\n </p>\n <p>\n  a. (environment can cause)\n  <span style=\"text-decoration:underline;\">\n   mutation\n  </span>\n  ;\n  <br/>\n  b. mutations are base sequence changes;\n  <br/>\n  c. radiation/UV/gamma rays can cause mutations/changes to base sequences;\n  <br/>\n  d. mutagenic/carcinogenic chemicals can cause mutations / mustard gas/another example;\n </p>\n <p>\n  <em>\n   Epigenetics\n  </em>\n </p>\n <p>\n  e. (environment) can cause changes to\n  <span style=\"text-decoration:underline;\">\n   gene expression\n  </span>\n  ;\n  <br/>\n  f. methylation (patterns) in DNA changed (in response to environmental factors);\n  <br/>\n  g. methylation inhibits (gene transcription) / acetylation promotes (gene transcription);\n  <br/>\n  h. body temperature/stress/diet (can affect gene expression);\n </p>\n <p>\n  <em>\n   For mpd do not allow ‘mutagen’ instead of ‘mutagenic chemical’ as it includes forms of radiation as well as chemicals.\n  </em>\n </p>\n <p>\n  <em>\n   Allow smoking and asbestos as examples of mutagens /carcinogens in mpd.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-2-2-difficulties-classifying-organisms-into-the-traditional-hierarchy-of-taxa",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "d1-1-3-role-of-helicase-and-dna-polymerase-in-dna-replication",
+      "d1-1-8-functions-of-dna-primase-dna-polymerase-i-dna-polymerase-iii-and-dna-ligase-in-replication",
+      "d1-1-dna-replication",
+      "d1-3-5-randomness-in-mutation",
+      "d1-3-mutations-and-gene-editing",
+      "d2-1-16-consequences-of-mutations-in-genes-that-control-the-cell-cycle",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how vesicles are used by cells to move materials.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the transport of carbon compounds such as sucrose and amino acids in phloem.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   fluidity of membranes allows vesicles to bud off membranes/fuse with membranes;\n  </li>\n  <li>\n   materials taken into cells by endocytosis/vesicle formation;\n  </li>\n  <li>\n   <em>\n    Paramecium\n   </em>\n   takes in food / phagocytes engulf pathogens / another example;\n  </li>\n  <li>\n   materials released from cells by exocytosis/by vesicle fusing with plasma membrane;\n  </li>\n  <li>\n   neurotransmitter released at synapses / protein secretion / secretion from gland cell / another example;\n  </li>\n  <li>\n   movement/transport of materials (inside vesicles) within cells/through the cytoplasm/between organelles/from an organelle to the (plasma)membrane/from the (plasma) membrane to an organelle;\n  </li>\n  <li>\n   movement of proteins from the rough ER to the Golgi / another example;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   fluidity of membranes allows vesicles to bud off membranes/fuse with membranes;\n  </li>\n  <li>\n   materials taken into cells by endocytosis/vesicle formation;\n  </li>\n  <li>\n   <em>\n    Paramecium\n   </em>\n   takes in food / phagocytes engulf pathogens / another example;\n  </li>\n  <li>\n   materials released from cells by exocytosis/by vesicle fusing with plasma membrane;\n  </li>\n  <li>\n   neurotransmitter released at synapses / protein secretion / secretion from gland cell / another example;\n  </li>\n  <li>\n   movement/transport of materials (inside vesicles) within cells/through the cytoplasm/between organelles/from an organelle to the (plasma)membrane/from the (plasma) membrane to an organelle;\n  </li>\n  <li>\n   movement of proteins from the rough ER to the Golgi / another example;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   transport/translocation in (phloem)\n   <span style=\"text-decoration:underline;\">\n    sieve tubes\n   </span>\n   ;\n  </li>\n  <li>\n   flow of sap through pores in end walls/sieve plates;\n  </li>\n  <li>\n   sugar/amino acids are transported dissolved in water/sap;\n  </li>\n  <li>\n   loaded into phloem (companion cells/sieve tubes) by active transport;\n  </li>\n  <li>\n   protons pumped out and sucrose then enters by cotransport;\n  </li>\n  <li>\n   high solute concentration created in phloem/sieve tube;\n  </li>\n  <li>\n   water enters (sieve tube) by osmosis;\n  </li>\n  <li>\n   hydrostatic pressure in sieve tube increases;\n  </li>\n  <li>\n   unloading from sieve tubes in sink/in roots;\n  </li>\n  <li>\n   water leaves by osmosis lowering the hydrostatic pressure;\n  </li>\n  <li>\n   sap movement (in phloem) from higher to lower pressure;\n  </li>\n  <li>\n   movement from source/leaves to sink/roots;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b2-2-9-structure-and-function-of-vesicles-in-cells",
+      "b2-2-organelles-and-compartmentalization",
+      "b3-2-18-adaptations-of-phloem-sieve-tubes-and-companion-cells-for-translocation-of-sap",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Arginine and ornithine are in the same group of biochemicals. Identify this group.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The concentration of urea in blood plasma is typically about 30 mg per 100 ml. In urine it can be as high as 1800 mg per 100 ml. Explain how this increase in concentration is achieved.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  amino acids;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   urea is toxic/ a (excretory) waste product removed from the body/ blood (plasma) by the kidneys/in the urine (to be excreted in the urine);\n  </li>\n  <li>\n   urea filtered out from blood in glomerulus/Bowman’s capsule;\n  </li>\n  <li>\n   water reabsorbed from filtrate (by osmosis);\n  </li>\n  <li>\n   in proximal convoluted tubule/\n   <span style=\"text-decoration:underline;\">\n    descending\n   </span>\n   loop of Henle/collecting duct;\n  </li>\n  <li>\n   loop of Henle maintains hypertonic conditions in the medulla;\n  </li>\n  <li>\n   little/no urea reabsorbed from filtrate;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-1-generalized-structure-of-an-amino-acid",
+      "b1-2-proteins",
+      "c1-1-10-effect-of-enzymes-on-activation-energy",
+      "c1-1-13-cyclical-and-linear-pathways-in-metabolism",
+      "c1-1-enzymes-and-metabolism",
+      "d3-3-7-role-of-the-kidney-in-osmoregulation-and-excretion",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the name and function of structures I and II.\n  </p>\n  <p>\n   Structure I name and function: ..............................................................................................................\n  </p>\n  <p>\n   ..........................................................................................................................................................\n  </p>\n  <p>\n   Structure II name and function: .............................................................................................................\n  </p>\n  <p>\n   ..........................................................................................................................................................\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State one cause of lung cancer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest one difference between tissue taken from a lung cancer tumour and normal lung tissue that might be seen in micrographs.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The lung tumour in the light micrograph was slow-growing. Predict with a reason what would have been visible in the micrograph if the tumour was growing rapidly.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   I is the stigma which receives the\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   /where\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   lands/is captured (during pollination);\n  </li>\n  <li>\n   II is the anther and produces/contains/releases\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   ;\n  </li>\n </ol>\n <p>\n  <em>\n   Both name and function must be included in each marking point.\n  </em>\n </p>\n <p>\n  <em>\n   The role in pollination should be stated. Do not accept “pollination” on its own.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   smoking/tobacco;\n  </li>\n  <li>\n   passive smoking;\n  </li>\n  <li>\n   Radon/other radiation;\n  </li>\n  <li>\n   exposure to arsenic/asbestos/smoke from coal burning/fires/silica/rock dust/vehicle exhaust fumes/nitrogen oxides;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   fewer/smaller/lack of alveoli/air spaces;\n  </li>\n  <li>\n   many cells/nuclei per area / much denser tissue;\n  </li>\n  <li>\n   more cells undergoing mitosis (in the tumour);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   See\n  </strong>\n </p>\n <p>\n  a. more mitosis\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  cells in prophase/metaphase/anaphase/telophase;\n </p>\n <p>\n  <strong>\n   Why\n  </strong>\n </p>\n <p>\n  b. more dividing cells/tumour cell divide uncontrollably\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  a higher mitotic index;\n </p>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-cell-and-nuclear-division",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-9-features-of-an-insect-pollinated-flower",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State with a reason whether pangolins are autotrophic or heterotrophic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Pangolins are unique among mammals in having evolved scales, which are a recognition feature of reptiles. Explain which features you expect pangolins to have, which would show that they are mammals, not reptiles.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  heterotrophic because it feeds on/eats food/other organisms /eats ants/termites/ doesn’t photosynthesise/does not produce its own food;\n </p>\n <p>\n  <em>\n   Do not accept “it is not autotrophic” as it is part of the stem question.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   hair;\n  </li>\n  <li>\n   mammary glands/milk secretion;\n  </li>\n  <li>\n   alveoli in lungs;\n  </li>\n  <li>\n   lower mandible/jaw consisting of just one bone;\n  </li>\n  <li>\n   giving birth to live young/are placental (apart from duck-billed platypus/echidna);\n  </li>\n  <li>\n   external ears/ pinna;\n  </li>\n  <li>\n   warm-blooded/endothermic/constant body temperature;\n  </li>\n </ol>\n <p>\n  <em>\n   Mpa: pangolin underside may be covered with sparse fur.\n  </em>\n </p>\n <p>\n  <em>\n   Do not accept double circulation. Mpe: accept “do not lay eggs” as WTTE Do not accept internal fertilization.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-2-10-classification-of-organisms-into-trophic-levels",
+      "c4-2-6-autotrophs-as-organisms-that-use-external-energy-sources-to-synthesize-carbon-compounds-from-simple-inorganic-substances",
+      "c4-2-transfers-of-energy-and-matter",
+      "d3-1-18-role-of-the-placenta-in-foetal-development-inside-the-uterus",
+      "d3-1-reproduction",
+      "d3-2-1-production-of-haploid-gametes-in-parents-and-their-fusion-to-form-a-diploid-zygote-as-the-means-of-inheritance",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how changes to the cell cycle can result in tumour formation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of the right atrium in the cardiac cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   cell cycle is (repeated) sequence of cytokinesis/cell division, (then) interphase(then) mitosis / cell cycle includes the sequence of interphase, mitosis and cytokinesis/cell division (to form new cells which repeat the cycle)\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    cyclins\n   </span>\n   control/regulate this cycle / ensure the cell moves on to the next stage of the cycle when it is appropriate\n  </li>\n  <li>\n   extra cells produced when they are needed\n  </li>\n  <li>\n   tumour formation is the result of uncontrolled cell division/ cells growing and dividing endlessly\n  </li>\n  <li>\n   repeated mitoses/high mitotic index\n  </li>\n  <li>\n   due to mutations in\n   <span style=\"text-decoration:underline;\">\n    oncogenes\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    oncogenes\n   </span>\n   may become active and contribute to the development of a cancer cell\n  </li>\n  <li>\n   carcinogens/radiation/mutagenic chemicals/mutagens/smoking cause mutations/tumours;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   cell cycle is (repeated) sequence of cytokinesis/cell division, (then) interphase(then) mitosis / cell cycle includes the sequence of interphase, mitosis and cytokinesis/cell division (to form new cells which repeat the cycle)\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    cyclins\n   </span>\n   control/regulate this cycle / ensure the cell moves on to the next stage of the cycle when it is appropriate\n  </li>\n  <li>\n   extra cells produced when they are needed\n  </li>\n  <li>\n   tumour formation is the result of uncontrolled cell division/ cells growing and dividing endlessly\n  </li>\n  <li>\n   repeated mitoses/high mitotic index\n  </li>\n  <li>\n   due to mutations in\n   <span style=\"text-decoration:underline;\">\n    oncogenes\n   </span>\n   /\n   <span style=\"text-decoration:underline;\">\n    oncogenes\n   </span>\n   may become active and contribute to the development of a cancer cell\n  </li>\n  <li>\n   carcinogens/radiation/mutagenic chemicals/mutagens/smoking cause mutations/tumours;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   right atrium collects (deoxygenated) blood from the body;\n  </li>\n  <li>\n   blood drains into atrium through/from the vena cava;\n  </li>\n  <li>\n   deoxygenated blood present in vena cava/right atrium/right ventricle;\n  </li>\n  <li>\n   right atrium pumps blood into the right ventricle;\n  </li>\n  <li>\n   during atrial systole/ventricular diastole/at the start of the cardiac cycle;\n  </li>\n  <li>\n   sinoatrial node is in the right atrium/sinoatrial node acts as the (natural) pacemaker / sinoatrial node initiates the heartbeat;\n  </li>\n  <li>\n   SA node sends out electrical signal to stimulate contraction in the (walls of the) atria/then propagated to the AV node / (walls of the) ventricles;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-2-16-stages-in-the-cardiac-cycle",
+      "b3-2-transport",
+      "c4-2-17-constructing-carbon-cycle-diagrams",
+      "c4-2-19-release-of-carbon-dioxide-into-the-atmosphere-during-combustion-of-biomass-peat-coal-oil-and-natural-gas",
+      "c4-2-transfers-of-energy-and-matter",
+      "d2-1-15-control-of-the-cell-cycle-using-cyclins",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the\n   <strong>\n    mode\n   </strong>\n   for the number of steps per day in Japan and USA, rounding your answers up or down to the nearest 1000 steps.\n   <br/>\n   <br/>\n  </p>\n  <p>\n   Japan: ..................................................................................................\n  </p>\n  <p>\n   <br/>\n   USA:  ....................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest reasons for the differences in LAI between the boreal and equatorial zones.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Analyse the data shown in the graph for evidence of a relationship between LAI and El Niño events.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The data in the graph show a long-term trend in global LAI.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the trend.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Global ecosystem modelling suggests that most of the change in LAI is due to increases in atmospheric carbon dioxide. Explain how rising atmospheric carbon dioxide (CO\n   <sub>\n    2\n   </sub>\n   ) concentration could cause the observed change in LAI.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the data in the chart for males and females.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   hypotheses to account for the relationship between the mean number of steps per day and the proportion of people who are obese.\n  </p>\n  <p>\n  </p>\n  <p>\n   Hypothesis 1: ...........................................................................................................\n  </p>\n  <p>\n   ...............................................................................................................................\n  </p>\n  <p>\n  </p>\n  <p>\n   Hypothesis 2: ...........................................................................................................\n  </p>\n  <p>\n   ...............................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (g)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the relationship between activity inequality and obesity shown in the scattergraph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (h)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using only evidence from the data in Question 1, suggest\n   <strong>\n    two\n   </strong>\n   strategies for reducing obesity in countries where this health problem is most prevalent.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Japan: 6000\n  <span style=\"text-decoration:underline;\">\n   and\n  </span>\n  USA: 4000;\n  <em>\n   (both needed)\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Japan: 6000\n  <span style=\"text-decoration:underline;\">\n   and\n  </span>\n  USA: 4000;\n  <em>\n   (both needed)\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   climate/temperature/light consistent throughout year in equatorial but seasonal variation in boreal;\n  </li>\n  <li>\n   conditions suitable for photosynthesis throughout the year in equatorial but not in boreal;\n  </li>\n  <li>\n   temperatures higher/growing season longer in equatorial versus lower/shorter in boreal;\n  </li>\n  <li>\n   water frozen/unavailable in boreal during winter whereas always available in equatorial;\n  </li>\n  <li>\n   shorter daylengths in winter in boreal (than those months in equatorial so lower LAI);\n  </li>\n  <li>\n   boreal LAI higher (than equatorial) in July due to longer daylengths;\n  </li>\n  <li>\n   equatorial trees/plants are evergreen / boreal trees/plants are deciduous/have less/no leaves in winter;\n  </li>\n  <li>\n   variation in angle of light rays (between different latitudes);\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   decreases in LAI during El Niño\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   increases in LAI between El Niño events;\n  </li>\n  <li>\n   1983-4/other example of a decrease during El Niño\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   1984-6/other example of increase between El Niño events;\n   <br/>\n   OR\n   <br/>\n   94-95/2009 anomalous as LAI rises during El Niño event;\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   99-2000 anomalous as LAI decreases between El Niño events;\n  </li>\n  <li>\n   larger decrease (in LAI) with more intense/longer El Niño events\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   no/less decrease during less intense/briefer El Niño events;\n  </li>\n </ol>\n <p>\n  <em>\n   Mpa refers to changes in LAI, not whether levels were high or low.\n  </em>\n </p>\n <p>\n  <em>\n   The example given for mpb must correspond with the trend given in mpa. The graph does not show the years clearly so we must show some lenience in mpb – award this mark if it is clear which period the candidate was referring to.\n  </em>\n </p>\n <p>\n  <em>\n   For mpa, do not accept answers implying that decreases in LAI cause El Niño or increases in LAI prevent El Niño.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Increase/increasing/upwards/rising (trend);\n </p>\n <p>\n  <em>\n   Reject ‘positive’, ‘positive trend’ and ‘positive correlation’\n   <br/>\n  </em>\n  <em>\n   Accept linear increase.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Increase/increasing/upwards/rising (trend);\n </p>\n <p>\n  <em>\n   Reject ‘positive’, ‘positive trend’ and ‘positive correlation’\n   <br/>\n  </em>\n  <em>\n   Accept linear increase.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   more\n   <span style=\"text-decoration:underline;\">\n    photosynthesis\n   </span>\n   (with higher carbon dioxide concentration);\n  </li>\n  <li>\n   more plant growth/more (plant) biomass/more leaves/more plants;\n  </li>\n </ol>\n <p>\n  <em>\n   If the answer focuses on greenhouse effect or global warming, do not award mpa, but mpb can be awarded if one of the alternatives is included in the answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Similarities (Compare)\n </p>\n <p>\n  a. lower percentage of obesity with more steps per day in both males and females\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  percentage obesity is most similar at 1000 steps\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  correlation of steps to percent obesity plateaus after 8000 steps for both males and females;\n </p>\n <p>\n  <br/>\n  Differences (Contrast)\n </p>\n <p>\n  b. the range difference of obesity percentage among different steps is bigger in females (9% - 31% versus 18% to 30%)\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  walking has a greater impact on lowering obesity rates in females than males\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  men show a greater percentage of obesity\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  at 1000 steps per day there are more obese women than men;\n </p>\n <p>\n </p>\n <p>\n  <em>\n   One similarity and one difference required for two marks.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   (any order)\n  </em>\n </p>\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   obesity causes people to be less active/take fewer steps;\n  </li>\n  <li>\n   people who are less active/take fewer steps (are more likely to) become obese;\n  </li>\n  <li>\n   People who are not obese tend to have healthier habits, including walking more;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Accept hypothesis and a null hypothesis for the two.\n  </em>\n  <strong>\n   <br/>\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <p>\n  as activity inequality rises percentage obesity rises\n  <br/>\n  <strong>\n   OR\n  </strong>\n  <br/>\n  Positive/direct correlation/relationship;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (h)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   use public education to encourage people to walk more/become more active;\n  </li>\n  <li>\n   improve city design to improve walkability;\n  </li>\n  <li>\n   reduce distances between homes / shops / workplaces / parks;\n  </li>\n  <li>\n   more sidewalks / make it easier for pedestrians to cross roads / other specific measure;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept answers that involve diet as that is beyond the scope of the data given.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b3-3-9-reasons-for-locomotion",
+      "b3-3-muscle-and-motility-(hl-only)",
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the trophic level of sea lions. [\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the additional information that would be required to convert the food web into a pyramid of energy.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline a reason that the orca whale would be difficult to represent in a pyramid of energy.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  secondary consumer / third trophic level/ trophic level 3 / 3;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   energy content in biomass/all organisms of each trophic level;\n  </li>\n  <li>\n   size of study area included;\n  </li>\n  <li>\n   over period of time / per year;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  orca is in different trophic levels depending on its food source;\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "c4-2-10-classification-of-organisms-into-trophic-levels",
+      "c4-2-11-construction-of-energy-pyramids",
+      "c4-2-12-reductions-in-energy-availability-at-each-successive-stage-in-food-chains-due-to-large-energy-losses-between-trophic-levels",
+      "c4-2-transfers-of-energy-and-matter"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how the prickly pear cactus may become an ecological problem in Kruger National Park.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the change in numbers of the cactus moth throughout the study period.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   they can become an invasive species because they lack predators\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   uncontrolled population growth due to lack of predators;\n  </li>\n  <li>\n   compete with local/endemic species for nutrients/habitat;\n  </li>\n  <li>\n   may cause (endemic) species to become extinct/reduction in numbers;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   (before 2002) the cactus moth had abundant food so the population grew exponentially;\n  </li>\n  <li>\n   (after 2002) the population size fell as the amount of cactus plants decreased\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   from 2003 low population of moths corresponds with low number of cladodes/cactus plants;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b4-2-10-adaptations-of-predators-for-finding-catching-and-killing-prey-and-of-prey-animals-for-resisting-predation",
+      "b4-2-ecological-niches",
+      "d4-2-11-restoration-of-natural-processes-in-ecosystems-by-rewilding",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.17",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for the loss of bird habitats.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how\n   <em>\n    in situ\n   </em>\n   conservation may help preserve populations of amphibians.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between species richness and evenness as components of biodiversity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   deforestation/forest fires;\n  </li>\n  <li>\n   clearing land for houses/farming/growth of cities;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   the amphibians are kept in their natural habitat;\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   preserves habitat/resources for amphibians;\n  </li>\n  <li>\n   area can be actively managed\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   pollution/predators/alien species can be controlled in the area;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  richness is how many species are in an area, evenness considers the relative number of each species;\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity"
+    ],
+    "subtopics": [
+      "a4-1-9-adaptive-radiation-as-a-source-of-biodiversity",
+      "a4-1-evolution-and-speciation",
+      "a4-2-6-causes-of-the-current-biodiversity-crisis",
+      "a4-2-7-need-for-several-approaches-to-conservation-of-biodiversity",
+      "a4-2-conservation-of-biodiversity"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Label with a P on the\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   -axis the level of commercial sea fishing activity that would result in maximum sustainability.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the reason for the change in yield in region III of the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason that it is difficult to keep global commercial sea fishing activity at a sustainable level.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how the population of fish in a pond could be estimated using the capture-mark-release-recapture method.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  label P on\n  <em>\n   x\n  </em>\n  -axis below the peak yield;\n  <br/>\n  <em>\n   Dotted line for guidance, not required in answer.\n  </em>\n </p>\n <p>\n  <img height=\"208\" src=\"data:image/png;base64,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\" width=\"504\"/>\n </p>\n <p>\n  <em>\n   Do not accept if P is\n   <strong>\n    only\n   </strong>\n   on the curve\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  fish are being caught faster than they can reproduce;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   requires agreements/policies/enforcement between countries;\n  </li>\n  <li>\n   commercial companies compete to increase profit;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   random sample is captured and marked/tagged (in a manner that will not harm fish);\n  </li>\n  <li>\n   captured sample is released and allowed to mix with general population\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   captured sample is released then wait a few days/weeks;\n  </li>\n  <li>\n   second sample is captured and both the total number and the number of marked fish counted;\n  </li>\n  <li>\n   ratio of recaptured marked fish to number in second sample = the ratio of the number in the first sample marked and released to the population size\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   Population Size =\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <msub>\n       <mi mathvariant=\"normal\">\n        n\n       </mi>\n       <mn>\n        1\n       </mn>\n      </msub>\n      <mo>\n       ×\n      </mo>\n      <msub>\n       <mi mathvariant=\"normal\">\n        n\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msub>\n     </mrow>\n     <msub>\n      <mi mathvariant=\"normal\">\n       n\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msub>\n    </mfrac>\n   </math>\n   <br/>\n   n\n   <sub>\n    1\n   </sub>\n   = number in first sample marked\n   <br/>\n   n\n   <sub>\n    2\n   </sub>\n   = number in second sample\n   <br/>\n   n\n   <sub>\n    3\n   </sub>\n   = number of recaptured individuals marked\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c4-1-4-capture-mark-release-recapture-and-the-lincoln-index-to-estimate-population-size-for-motile-organisms",
+      "c4-1-populations-and-communities",
+      "d4-2-6-assessing-sustainability-of-resource-harvesting-from-natural-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.20",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast the effect on men and women of an increase in serum cholesterol.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for high total serum cholesterol not always being an indicator of CHD risk.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   both have increased CHD with increasing cholesterol;\n  </li>\n  <li>\n   men always higher incidence CHD than women at each level (of cholesterol);\n  </li>\n </ol>\n <p>\n  <em>\n   Accept vice versa\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   depends on the type of cholesterol/ratio of HDL to LDL/some types of cholesterol do not increase the chance of CHD;\n  </li>\n  <li>\n   may not indicate CHD if lack other risk factors for CHD;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-2-6-causes-and-consequences-of-occlusion-of-the-coronary-arteries",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate the diagram by adding arrows to show how deoxygenated blood enters the heart.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the function of the left ventricle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrows added to the diagram to show how deoxygenated blood enters the heart;\n </p>\n <p>\n  <img 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\"/>\n </p>\n <p>\n  <sup>\n   [Source: CC BY-SA 3.0, https://commons.wikimedia.org/\n  </sup>\n  <sup>\n   w/index.php?curid=606903. Open access.]\n  </sup>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrows added to the diagram to show how deoxygenated blood enters the heart;\n </p>\n <p>\n  <img 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gpknSWiTTGlnWO23334ye5577rlKm1vSwUHb9dIciw5xGVojNcLPlJyE8IO1115b1dbWmr3gWGuttUS42NIETDit0ZX2I2RwXX311dKa5JtvvpH+Pccdd5xac801xWTLkB+pEf4tt9xSvfnmm2bPLig6d4vGwwBfgVkjXzF7qaBNJ7HTx48frwYMGKAuu+wy8UNuuOEGGQj333+/3D9mKRc33nij+tvf/mb2MvghNcJPY6YoTmkQbLrppurxxx83e8HxxRdfyADAnCglmGlef/11NXz4cNHs++67rzjQNLyie9sf//hHdfDBB8vMxPn5oX///tJ066uvvjJHMuQiNcIPkpqmERLahIQFs0V1dbXMHEkDG/2tt96SDs0bbLCBuuCCC6QD26effioRGo6Htd2ZIYjqZPBHaoQfxzQpzY9tjD0cFv/zP/8jWpdGsUnj1ltvVWPGjBGN/d5770nDWfptxnGY999/fxlQ9PvM4AOJ+aQAhCInTZpk9uyC8F+UDDIdG6K2JkwLILdRJBKGodpekCqb/7//+7/Nnl2svPLKoRd5+Pjjj8Xk2WyzzcyRtgka2G677bZq6NCh5kgGF6kRfiIVDQ2ssGUf2Mq08gsKrRREWDBFVgQ8/PDD4kBff/315kgGkBrhx7ZlraokgPDjUAbV/oQOsbvp3bkigATiU089JT5FGCWwoiM1wk/ILkpEJggQfj4/SLKK9yAkJI7yhRHbIshW09D2hBNOMEcyrDhPtwjWW2+9QJp/+vTpYvYQY1/RQFLs+eefzzK/BqkS/iSX3mRBt2Kan8Hx29/+Vv3lL39ZobS+C7T/rrvuqp599llzpH0jVU84KZsf9OjRo6hDzWJxJMTInq6o4BqjZLtXRKRK+AlJJoX/+I//KGj2sDjF7373O/XEE0+UncuTJOAAcY1pI+uVA6kS/iQfCNM969nmA6FNODNQC1ZkMLDJeFNg096RKuGPQjsOit69e+fV/IT/WC7oxBNPNEdWbBDChTvU3pGqNblYOJm1qZIAlGBi94MHDzZHfsYVV1whJX2nnnqqObJiA64PMx3mzwcffCAOMDMCJDr8In6HMp1PGRUTGYIFbsAAUiCfx0bQAZ+KwbfzzjvLumNJF/sUQqqEnzg0S/MnAQhe0IKPPvpoc+RnsFL5Cy+8ULYHgbkHqQ86he2qKxaoo54Xbj+mzr/+9a9lgQWiP4SAIe5B2z7ggAPE7ENIEVbIhoBF8UiUueA+FYqGIVLUIDDTUkHHtTGQyDFgerLQHoOArPOf/vQndfrpp5u/LDEQ/jigbpQeL6wfRbMjiGC07+B4WNC+Oqn2dxDn/Ppvcr79+vUze6UDrRQvvPBC6aZAa0QtbNKfRwuFowUiUpMoPYikzQnNcFmthpYtWkilA8Uee+whXSR4jffw3lKCDhIslUQrGfe7aahFn6NyrQ8WS/PffPPNwhmHfsvHMG2SQGGks7lanG4GrALOEp5oDTQNGqZ79+6qpqZGNrQemofPcjWOTXz99dfi0F555ZXmSAson2R19d12280cSQ5oXK6PqBI46qijZGlQ7gfakHuIhoRKTYYZvtOoUaNkZkJDc5+YJaBq8L6FCxdKzQGRKkwZtCxmBp9L6eZ2220n5YxJ5k+CgnvP9VFj7AX3hKVfya2UHAh/FNDkiEZM+uTNkcJg5NMnht6P9M6kNydLT/7iF7+QFtq08kNLJaX56UpG52Mv9BQceVnRsKDlnx74co1cK5re3TgHNrql0aaQtb6YBZkFeD+d4/gb9+/QoFC0aThF73p6EwV9DuUAz55rz9cnaOzYsWXpDhdJ82PLETenpA7NaQNoNBZGZuOzk8DGG2+stPlj9pQaNGiQzFQUfScJ7Ow+ffqI5mN2I9SoB73QuNHuWqDFrsbWLgQ0OLNoWwMWATM/s5Wfr/DAAw/I69tss405UiIg/GExbdq0ROxkerxH6a8TFMxU9OBhdnn44YdFkyaxLoAXzCq0FmeFEWzt9gh8QQqD8oGZK+hyTTYRKc5PF4HJkyebvbYDtKY2KSSyga2NtsWeTgr6/koZJN9Lq5GkZrS0A7ZuIb8Dv4RoW6kRWvhxqghXESazjaRDjTjYxLHZCN3tueeey7X7sA0YojxUpvW2aK7Ygva3xEnPh0KvJYnQwo/9Ru/HJAQVexDBTArE0Ik/AwYxM1hSIKl28sknywxJ1KU9A3n59ttvzV5rkGGnp2mpEVr4ly5dmlg3A4TTTcAkASgOtB4k6YOTyX4SwHmHGUpC7bTTTjNH2y8Iu6J0kB0/ULtNu8VSI7Tw82DZkgCaHzs5KRDtQehpRoU2JreQBCiDZBBDH87QwqiFyjB//nxzZHnMmDFD2KalRmjhZwpzTQfbIOWdJAgtAgrT4ZYkhfPOO0+SOiSlMrSA5OK1115r9n4GxfVuAq/UCB3nx1bG7Pnyyy+tZ2JpF0Jzqe23394csYtbbrlFMrmwN+GUJDEAIIr16tVLMspJO/ClBDY7syaKz535C9nxXLsb0+d3nitmJqWUxxxzjBwnK33kkUcKx6dnz55yrJSIlOTCnkVAL7/8cnPEDnCmP/vsM2F3JoG7775bHNFJkyapd955R6Zi22AxCHr9TJw40RxJJ3jsKDKSfDQIRpDp68l9wSdyBZxIDSYJkTKEmAHA36KpvWS3XGDfE7zg70luQRlHyPlbqByEmUmQQmakl2pZgPCHBWlqfSOce+65xxyxg0WLFjlPPvmk2bMPViGHLgCBLArxrhhI42uBSG2XNy3o0r2O5Uk5TygVevaWjm4k/N544w3zzvaB0DY/gPt+2223yZTFwghtBa5P4RLpbAPtyRoDSeRAooJzwqFkNuW5EX3iuc2bN09MM6Jf9PRJOuGXSphBEAlofjQIJDWIY3GRtOZnhUM0nDZLzBG7QKuyFH8awOx87rnnyvWypjDLE+WjSUMt7ty5s9lrP4ik+V1g36L5//CHP4jzu8cee0h479VXX5XERb6ywULQ52R+sw80PtlEogtJgFBeOZI1XkBz5rlAGSCrjB0/a9YsWZ4oX0SFODz2f3tDLOEHsBM/+eQT9fLLL8tyOHD4TzrpJLnZ8DlwbvidB3LdddcJVx16BN5/rqAzBfux/mwBKgMOW1LfQSSkHMkawP0cNmyYONuEoylDpNYiSESO+wLfKan8TVoRq5ilGPD28fqxg9mooYXkRKELtujbb78t2hJtzHuJxLBk569+9SvzCXbB9yIMdGODd2MbFKnw2aXU/jy+v/71r0qbnlKLTE/+YtRoPxBxoSimUARnhQPCnxZQXJIktZUe9VrzOyeccII5Yhf77LOP2M+lAuWiW2yxhfP73//eHImOTTbZxNGzh9lLDviGUMqLbUTOkkYszU9cnjguwL700lZJhGFihAHF1mRHk1pIjdmFqMbxxx+fyHeQQMO+Tor75AWxebogXHzxxbJ8UVzgB7H80brrrmuO5AfmEbMoFA5+Mqszo3N85syZYv5BIeF+IyMAX8SvmAUZYeYn+sbfI47IEu8jQkXBVJSZLAgiCz83CgeXC3fBCbNxEV77EW6HewHu74TdEBISJ/gDDBySK9B/b7rpJnlvEuD8khJ+En+YbkkD82T33XcX8zDukkMILwkolkAaOXKkPAvu0Z133ikBC8xTrYnFr0PREcjgdVdYcZZ5diQMoY/gO5C4opYYE4rXeN6ucuTvcjtUIPzcO5xz6sLxmzCXL730UnXHHXdIWNarWG0hkvAzgrnYa665RjqheeFmAF1w83KBRnDZm9j9tBRBMzCgWEA5SeFn0A0cODAR4YcugeOfJFA2lPwxSxJV86NLI5QINRoYwSWLi7/13HPPCS0FJQOVhNcRaBxeBJrfEVQUFPeJjZxFv379xCdAgPGZeA9bEGc6CFAYBx54oPh/XiFHjij75DiZZ87TKhD+MMAW69Onj3PooYeaI/aADUvLjSSx8cYbJ2bz77vvvua35IBfobWnxO+7d+/uaO0v36sHnqMFVIrgtSDL6+77tNBKixRKKSk/5R4//fTT0saEMk6tzeXe64FlvqW04Pxnz55t9pYHuQnKT2+55RZzxB5Ca35aTxCuJL5veyQmbfMDTDXsWqZ128AGp/99UmBmpPidkCbaHy2JD8NPmvxyXWhr4vnuxuuYGmkF5g0VdVxbPjCbskolvC9mHFsIJfxMn8TtSYtzU22jFMJP7S7O2Zw5c8wRe8AGf/LJJ82efVB/TDtHzA/MScwXfk6bNk0cS9eUdAMRPCsGBQLDwCAMi0lDXUO+hFepgWDDhIVyUQhbbLGFUNFzzew4CJXtwTHiBiYh+KUC7MSkgNZNCiQP8aeI7CAIXMcRRxyhpkyZIlpxwoQJ4iyy6jpalNaE/A6H/qKLLpK2IJdccokkJcn+QivGkQw58VsHvKMgnCIcfHxMq0DzB8U//vEPsROTAnZnUva4iz//+c9Oz549zZ5dJOEHAe3AOptvvrnwqI477jhpvwJDMwr4LPIpMDtpY0jDMNo4lsveh3eknXCzlx/4KL169TJ7dhBK82OfkTpPIwiXYQKwecOsuYCbznttg+9MKjPtrqRCRIyCHLR41Ia2zB60jaS2gUgQkbWpU6dKmLIcLQOJHGLGFQMhcTdnYAuhSS5pcZ4Il9L3EmcJqjKmGDauS+giNEfPSq0llxN23kfM2jYYdG6ZpG2cf/756sEHHxQBsAkCFocccoj0FKKLNSYS4VrbQlYICH9Q2F6tMxmGV0LA4caOJfMHf4ZkDzYvD87V+i53iH45CD9ajUFx9tlny3GXuxKFcVoIJGhstxcHdDbASaU0Mh9wbtHikNkY2DjdzBZs3COiJAQpCjE3URa0VYShiw9BwosmuEmDZ6otELOXH1gdNiM9ghbrJxj0VJloO2na+e2///5m72eQWzjxxBMlXj1kyBDh5YcBnJ5f/vKXYuPqASHxb63dzKt28Oyzzzpa2MyeHXDdtPDWAm2OtIDYNy3+TjrpJEcrAYnlr7baas6OO+7oaE0uftP111/vnHrqqc7xxx8vsX09gOS6uQfDhw+XhsHY//nwwAMPSLXekUcemWg7c/IWCxYsMHv5QXt1be6ZPTsIJfx0Zn7llVfMnn0g1LmJIm78mDFjnIMOOihWr0utHcVpRADY3nzzTfOKHRxzzDHSc98mEPCtt97a7LUQ/w444AApw0SYEUwCEBQBBYE2FaXE8qKLLpJk2IYbbujcfPPNeZ1dAhB0jL700kvNEfs45ZRTpG9qMdBhm0FrE6GE/4knnpCqraSA8Hgb4CL4w4YNcyZMmGCOxAPVTDU1NcLsJHpgE7RaDyqEQUGbcqIh06dPlwgVwsrvNpijKAMayDJbMBvQJNhPw/O+7bbbznq9tguq37RJavb8wQzYtWtXZ+7cueaIHYQS/oULFyYWJgRz5syRdL2LY4891rnuuuvMXnyg4dCapP9tahGEBk2qfQpzJD6+++47DGE5VwRUO7yJmR+YsphPv/3tb32/g1AkawUkQTdHsKGc8DMfOD/uL+aeTYRyeImkkFVMIloCcEJdygTUWBIyNtv9EQXCUeY7oATbAvcEZ5Jsqi0Q3SGRRXKLaAxRGcKUYUHWHDoKvYrYRowYIZ/NcRc40zi7RNAohuGnF5wHi9exggoBB5uAUEeyjix1PkCpoRWM9ay0GQSB8fzzzzvbb799Iq0/7rjjDmfvvfeW77Cp8b0gSYSDiPP8448/mqPxgC8EqcwmSOjkOrphgLly8skny1pct99+u5wj25133ik2PCQ31uw655xzxPzh/Wj9SZMmyeowHMsFM8BOO+3k/O53v7M6C+HL4YexFpn3c/kdxx2zi/OzjdDCD1hUjJtg+4RYYgenlOWKkgI2NKYEN/vVV181R+MBRiWDyhbovMCSQ3HAdeJMFgJmxN///ncR9i5dujh6hpDjZJDXXnttEbxc8Mxh9aKkbICqLRzrvn37yjPBxINp+tJLL4nQc7y2tta82y4iCT/AHrcdBttrr71EMJMMp66xxhqi9bnRhx9+uDkaHQhDp06dZDVKW5g1a5Zo6KjAN+P6gq5yg73NrEBoE8UGiDThZPoFOAgdQ4vwmx28YBDzLAkDa/NVBiQzGoON88PwYBbmd+jZHEeRDBgwwPnNb36TeBOtyJVcWuiFYUfxiRZayfy6Ni/JCDZsazfrib1dqBqH0yAZRaIK+xlb0DZIclFpRMke1VwkyEhOxfkuEkH4EZDEoBnbAKuja+dTfKwowEegpSRJrzBgvTL8LIpXoHyTPCShCEkut5cmbEy6dfAery9CQg2CHdliOkpAJ4GIB6uUpCOJQDZXRpALfD2eOT/J+LJRtENiSw8eKXbSA9R8gxL/hw2Zi4PIwg84WW40DhJ0Uz6KG+6mrCl5A279puvMUuKGwJG5JOPKQCJDiRPao0ePvK2s4wJHj575ZH8ResrtaKMSR2jpnKC1lJy/rVK7fffdVxzMqOD6/vM//zMSvVqbIEIZQUnQyY3PYjlUno37/FywYj3ZYGjiDH5tDUhVFoNWa3mpwqLMkdJUlBpywH3ip54xhUbBZyIL0E54L/KAXEDlgEfGZ1KxNm7cOPkbnF5+QmmBnwTbMzIQ/lIBE0HfBHFwyDASt73pppvEfmT6IwvL1JcUSBiRqwDPPfecxPtHjhwp+1GBTUoW1hYwQUjoxQEJPPpvRgUhYRxinGWeGUkxMsW50LOeZJbpUse9xJzkJ6YrvhsmDKFrEoB6AEk3Pp45sX1MMvIVdIwoZjrj/5CLICBCoIVAxeDBg0VmYBpHRSDhJ+bMhuPBVigmGxXEkXG+SEL9ZHlNWW7ueeedtxxdmuvQmkUcvaiRKz6D84VyYQvY2jNnzjR70YDwIpRxkmEI/VlnnSUCzHUyyBkEuSBaBNUa+9yVEZu46qqrJJLmR3tGkRH/dx31sCgo/NwAPQWKI8RIRlAY3YxskkVMHK6jQv9LsrNsUBTQFGzw58mm6ilUHB+cJHcj2kJmcbfddpPPw1FjNF9zzTXmDOIDQcCRpoaV6IYX06ZNE00VdTlSroH7QWjWFuAeaTva7EUHkRpt+pi96IArhDOMLPCcc2tpOc7M5xcZigs0PDJWyHGHnoHzHUUh57X5cTCwian2x7nxJnD0BS+jl/KTfddpAa7zgv0IKxGbnhI7N7HCZ7pOLXYfr+upU+pf+R6cIBiJsew5DXwOnDfOj+r/3CQUx7FtR48eLWzGsCDpQwtGaNO2FleAXYmDGZe+zP3Ht6JLA/Z0VOB40lYEx5NnRS0APhnBCRePPvqolCHyXOM6oV4gA9C58SvzAX+TCjr8gtDPQIaAD4hbs3AwmjNpoJmxvTFPmAHQ/kxneuCYd4QD2ggbE5Nk1113LTgVk1vAPi5md/oBH4VZkFi1DWDuaafZWvgYMwV+UNzPg/bgrjmAGYIv4AWfT3zedocF7eSKZi+GgQMHOlOmTDF7wdFK+F37noea5GroXtByz2WLYoZcccUVIlgMBBwb4spBgNBjitB6D5uX6brYg2dgYM5p7WWOBAOfywDFEbMFPTuJCWgLlDpyjpMnTzZHogGqNk4rwD/C1M29X/PmzRMlEtV/8gMDigRYMWA+ewmRQdFK+O+9917ZqPEsBbhZCLxLV0bzERVAuGAScqOx6aA1w8rUU64MSjaiDQwaEjFcPI4Xs8Yll1wS6iHg2OHThNGQPBQmTmYWW4CxiY9kE/hazIBxbHKcTS99g7oOfKjc+0XUzqb2DxpI4FlAjguLVsJP1pYtSIGBDZABhKrrAq3tpa5yg5lyCYkSAoRXhDlGdAiBRfhYhAEtj6MYdJbwgoFHljbM1MkMQ2ZS+wrmSHwQ0iMEbBtwhLhvmJZBNGkusAS4Vhc8E8wpAhheEMb2CyyUAjy/sGgl/NhzuTZdkqBCBwKWC0YwglVqYMuiIYNWeDHbYBraLO5hlksijAwQWMiCXCOzQRigoOia5gXUBb9VaND8VIHZQBj+fgH3NS9a/QXaNW6SJQx22WWX5YS9XMKPmcQDpmIoCHCy0IZxmJde4DRD5EoaxMTXWWcd8QPwkYIAs9CPZUsJYq5fyH3MrcaLiqCfQ6AAvy0sWpFaSEmzlQKEU7Wgt1rALW6YLwoI0bHIHmG1xx57zBzND8KoWptaa1QF3UI73ygjcyQZwMcibEmIlia3WljNK63BudBUik7JenY2R3/G2LFjhYPkBfeRsDVhz7iguJ1wdDFAqYHuEBathN8lHJUCdICDV5Pb7Zf4fzlA3x1yGxC2CgkFQPjd9tw2gPDTtg+uUNKgNTxcHHoAMYCBNj/l+t0NfhEcmzFjxiht2/vG77V5rB566CE5dy8omiE+Hxf0PnX5YYVAHopnERatpAzBK5XwcVPRRF7Y0BhxAFkKwS9UQYY2gqgFW9EWYC6iaSGLaVPCHE0OFRUV0pPfTYCdc845aoMNNpDfAS3oWRiCxGQ+4h8Df8CAATI7eEFlGCRCWJ1xAFs4yGLezGLuqu6hgO3jBe2rk24T7gLyFM6UF9jRtgvBw4IuEuQJKOrwA9EPHMfx48ebI/EBh/2MM86Q5BwVVoQX2wLwVaC/5FbFEa6Oa/tzn8lTFFouiToKci1R2je2En48eD8v3jYIuXHSudENQla2MqZxQEsQYtt+0RcIY+QmbFWCAbhRLseIMkESRrZ7CyUFckJ+RS/E/SnMiQO6dxDS9nPOGXCQE6MSAVsJP7RftqQ1D/RUSFNekG0lSWWb1RkVJNb8sqNEozhPm316IMi5kRMeNGWiRGXSci8Kgdmb2SoX3B/IcHHCt8gEPYoOPvjg5QYAtBvklJJKwrhR0Er4taMi21/+8hdzJBnA82YAeMGDRqjSAjQ85k1uj5/7779fYvy2BJPwIDMJsXMXPGgYtTAmc02KtIFzxVz1UwbQIqCqRwFCjRVw3333yf2B7gAFhPpewtJQQeJwz1oJP3Yum22ehhdcFOaNS2lwQYZQe+1mLx2AboD97xV0yFbcH1vgATPIsHG9aAsDgHOnkxy0FL++PmhutL+fkDIjYP5Sw0AGH18TmgomIAk/BhT8LgSfDQ4YnC/oKzYy4a2EH8Fkw866+uqrzVG7wKRiSs8FfH7oDWkC94LCa6ZYd9p1izxsgUQZD9oPfCesV+/3pwEUr0CZIGbCuSOc+XhOaG5MXHhZ1D5AnyGh5wo3v0NghH/E65iVmIAMDAZXHLOpEFoJvwu8Zxxf20QrADHKjxODk2krO2gT3Hzsf1oSMgMQpYpb/ugFDxohyAcGID1tcP7KOQC4D4888oh0dzvzzDNFmDkGlwc5KUTHxndC2Fkwm4GDibdkyRLzanmQV/gBF8WDhqxEmw/aaTAqIZrxwLgARmZY84hOzH72IV57sV4z5QIPFdoH0QX8EmqAbYF7GoSVOHHiRLFzyzEAGPTMPmjpfOQ4yIbIQz6MHTtWQrr5BkipUbR7g75oSWHzNi3ssnYraXgq8AHJHtLQ+oLkPWQFvRliL3VBj3zJ5tI+j6ogPVWaV1qgpz1Jjcet4EoKWuiWVTXRssNW9RYdD1j8uVjXCq1lZVE67iGdGfQgNK8kC5J+JMBoa8Ki137fy3vIsiIjuc/VBe+hOwdrhFE9V27Eal3iBYJBSSPgJ/v0XaEMjp+U1WmvX73++uuSQX7mmWfkvV5ALdDTp9XMqW2gDGjNQdo9Cp/ED0GFH3Afd9xxR8m60hIkn6DZBL0yoaLA8fH7PugNLJHKM2e1yEKgJyhZfVbcHDJkiDlaJiD8pQQF63j2fiCp5A33pRXUE9g0PTB7wlQiUbNAqA8nMWnAAiXKkut0YrrQNoTXsPUJ/brVXsVAFRjvt72YR1iUnEEGmYqpOxdoDcynJJfztAUK7G2aHMyUmIRBgVnJzKNtbzEf9HOU4/xEC+vBJMXfEL7oqA1fim513OMwwDQdOHCguvfee5fxvfgOZhzto4gJBP+HmYv7QXOrIIA1PGnSJOkqx7JRZQMjoFQggkRIzM/LJ3mRxkhPLtB4ZF8LgffgFBIUYCtW2UQSjQymC2LiNJ7iOIU+xL9ZgkibipJNdWdHvocZ47LLLpMgBGFiZk8iURSswK/R5oVoZBJEPG5i6IQU+dtC4HXt08hKMC6Y7cg7EJmics4FTi5BAMpMg4KAB7F8Pitq65i4KKnw06mLm+8HEiSsB5t28KAp4fMD5ggNWWmGi6C5Gw8YEyVf4QtCyppjCD2ZdZJqJNGIjBD9YhDwnkGDBknzWAQNOgFCPHv2bOFIEUak8L+QUDMIWeSCyNKWW25ZcG0zEk+YJt6onFvAk1sJxgCHnsGADQPOlftCtr8cKKnw0zEtX3ycRJKt8rckAeXBr6kWoUASg2QgKW1E8/Nw2RAgBAcBQZhz/QUEm8w2tjNCSfo+H9Cul19+uSw2B5uSmRSBZEDcdttt5l2FwffTmoYsOzkXP5BT8HaSIFHFIGaw5QLh5zz4GRb4EsxWtiriwqCkwk++AI3iB+LncdrrlQqYFzjtXkAHQSPTA6gQyA2g0Wn9582NIPzQGxhUhTQ3wARyGZ98Bp02mGkQZGgQxUwsL9xZw4+RSVMB17RhsNBBAxPKD3GEHzz22GOSMS927bZRMuGHo8806n3oLtCSaK9cbksaQWTGS9RC4yN8QXvjwNEhUoPt7D5szAhmjCCgbz33CvPRvZd8Jlqa+wuNGGGFKkJRPuYU2VhoAwhnbtSGgUv9q5fIyDUxmNy6CsxV/Jx8whlX+Dkn7H9MslKiZNEe/YBlvSf94MyRn0FLPVoJai1kjqQXxPm1sMjvRGnoP0/7bMoAg4DrpC06kS2qxoB+DtLjPwjc6A7RGxKC5Ab4TFo9Ug1G0pEqLJKLvO/iiy+WXvZEbvQAlb+hpbpbHrjNNttI5RgJxjlz5sgxPQPLGgbkM8Cf/vSnRHMKRJK0qShrJvDdJQMjoBQg2gB3xw9Dhw5dLtqRZqClXUcRRy2f81sMsB0h9/ETsydojBwQ1aGFIE2dMJdy17LCJ2AWYINElutjsOol/gXnzvcDzCWiO8wmNPB1I2/8bbHiJlfz5zNpg+LWW28V3lCpzJ+SCD83FIcsX4EMNzfXjg4DzCWcTJZKwp6GQutuCAqcHFvryGJG4JsQcsSBzcdzCQJIXnweURvagAQFSwcxcDAXMBXwAfCncKaxy3kNm53oC/cWtmXuAOBZQNSjUAQzBzCI+AwCE24pKz4OA60QcOgRfkzCOOAcSSB6w6hJoiTCj6DgjPmBUY724j1hga0L4Q4thuPG79R0opkJSfKAiSFjXyOoNlp2IxQIPHReV0CiAo3JtUMYC0ORJiSKg80qiwDhZQDxOfgDEAddjY7iYWDwei4QNqJsvM5nkIfBGCDixGwMcNLddbrygXuN8BeKUgUF0Sd8Ij/f0DZKIvxEQfL1/kRAmZ4LsQH9gOCgtXD8CMPlarZcoMHQiCw+HWdaRSig9SJkucU4UUB4lOtnlgoDHFQGfJD2jMx63Cs/cC9wknmde8hKmMzSrgPOLICZVAjMvAxizLe44HwwvzCBkkZJhJ9IBBrZDwglSZ0woCUemhzbNowg03+UyAbmUVRgniAQzCaA7yeyEhWYLVxL2I5jaEZMmyAhQgYpAwzN7geEnmd05ZVXLnsv0ReAXxNkkDNgiETZAMoFUy43MmUbiQs/0y/JkXztSF588cXAnY6ZJRA6wm6UzkUB8XEGW9Te/wgDCSlacgO0HqbCBRdcEGogch7MWPwNZgbC41fqVwgIJSYLSwMVAt2s/SrnvGAAHHrooXJfWKSaAcDfYa4GCUFzHiTybIH7bMOMKoTEhR+nK9+UC6A1+C12lgu0NokwohdhhMwPJHWw2aMAB5KEjxfYqAhvUIcPoaUfjZtcws4lru6lEgQFAwbTD5qAn+nH65gRRHCKgfPCnKN5MMIPDYLzDGJ/E2ggUmMLnIs3w5wEEo/zE9+nCCIfWOpSX6TZ84c+T2mNp+1QpZ282PFmPotliqKAOD+xcS/4PG26SJFGMXAtLN1JjYPLYKWOAZ4+BUJ6qpef5D6I5RcD30t/UT2DKm0CSTzfBWxLLfhKKwtZA7cYtJJSN910k6xPzHmSC4BB6pebyQV5ARiktsC58JzJWySFxIV/1qxZQl3NBx621lxmzx88REALvLiCD2iEq80xsxcOfH9uEQbJOyi+JJa0ljRH/QHVmMSUntZlnVlAZRYDikIeBBhB2nTTTWW9MISAtYOpHEMg/cD18JlQikm68Rl9+vQRpaNNRSkc0jOTeXdhsO7tEUccIe/X2l/OIwi4HhQDiT9bIBk3c+ZMs2cfiQs/lTs8jHwgo1dMoMmgMoiCaKAgQBNGBeeKQHqB0LMxCGjcWgg80KuuukoGi/e66YL85JNPSqaTGYTXyLDyXn5HuKiA8mp2L7g3fMbixYulZuKMM84QxcLi4LnnWwysvs5gZLAx2wYBHZ9B3P6cXuy3335K+x+xnlchJC782lZX3bt3N3v+yKfRAJqUZqmbb765ORIfPKBi55QPCBQlhF6glZm9EE4oBPmAduZ+aL9FCnq8wt+vXz8xdTA1oCTwO5+JNh8xYoQoCTonQ13AhMFM8gODAKoEWp/zpDwyLND6mFG9e/eWNuRBwCzF3/GsbAGzsHPnzrLaZSLQgpcYiEET6SnENCTGXCg+TCgwyIp8YQAvnnh2FJAxpvDGBeE4KLlEf3DECdGRfPMDEaELL7xQficj7aUg45iyphg0EK9DT3MmFvCgiS1FQGSXSdbhZMMCzZffgC4Caa1U4FnjLJO1tgnoJDjs3ntiC4kKPyGyYh3Y4JD4ZR9d0OwobrNTLzgnBmTUVDx/i+CROSbcSkSCLKkLfs/XwJaQJnkNQFIPTr4XtAUhypJb18CDJ/RHCNIFg4CCFj4z3wAoNYg6RY2iFQKJQHr92EaiZo9+KMucunzo0aOHLCCcDyyiwHtsgdVXOCfYjVGAKTF+/HilZyw1dOhQ6af/8MMPm1eVdJ7AZPDD+++/r/TAkd9xcqm11c9A9gFmjtb+6pRTTlnOIcc8mj59ujjLLvgc2KG8duWVV5qj5QVtXd58803rNjo+kJ7tzJ49JC78RC4KATuxUISAz0BQbACBYhEGhIVIRhTgPBIRoVAcCjGRGO9nYWPPnj3b7P0MQnaEDbFhXRAFI4LlAoeZdiisbEK0xmvX19TUtIrY6FlIBtCNN94oodNyg3vL8yLqYxOEhlnlvVgkLSwSFX60UjEtgGOmTRGz1xpw59FwNsCSP+uss060VTwCguvNN5hxCr1g+aPBgwdLOI/BRE6EgYTDy2AhRn/PPfdIBAgB8IvVE+efMGGCRGeIJOGQlwuERRmkQfITYUAol1wQA8AqWqyfZEBWtphjSXF2r169zF5rQETLV2caBjihVFxFyaK6wLYm61kIXA/2eS6w8f3Ia7Q7x6bVikLYqa6PxL2DhgFhDEdSzzh510aG9sF7+N4kHMMw4BoJUtgGMuDyqWwhUeGnKBkSWCEQkXBJVH7AqWQAxAHrudJHUtvm5kg0sDwOJLRCDFTOlS4KueBvYGEWAil9bdosG6DwoXBoGQTz58+XY35gYPOesNygJEDppA3qeC64NiJpQXhGQVF24edBo90K8UeIgqBRwwJSHdVK8FPiRoyIrsCXR/gLLY4M/8gvMsH1oZ0LFb+49G5vFIjZBuIfnRoYHH7gfLwLeZcTXB9s0yRA/YTNRVPKLvyMZLRdIaEgrEiIEaprEDD1s+oLZg5mCoIbFWhcV/gw4VikWtvXvuYFzaQgqOXLaxCaLFRRxkLPmD4Uqnz00UfmaIvWY+DBzHzrrbfM0RbwGuFWBnpaAPGv0OwYFZAkbZLnEhd+P/s3FwiMG//OBxbKQCvyeVR9kVzKBXx1BsoOO+wgGhjev9/7ggJ6L+YErdndz0HoSUT5sSi1o1pQA1MiSMLG75wY/Aj+9OnTnT/+8Y/iB3gHEcLN4ME3IM/AjLbHHnvI38StnbUNch20VLEN7jd1D0EKeIIgUeHngQYRfhzefMXtXmD6oAExkzBl0HhkiPkONDzHcRgnTZoUqn+NHyjrowmrX2tFkliYMNQVkIHFdKMWF62UOyC84KGh1ZlBvPY55gzrILAxMDCRuA6ytN4ZhswysyRKgMITEnVJaNi4QPBtO6cueN5xioe8SIXw85DDrADDA6eMEWeYn2wIEAJrAwgggyyfRsWhc4WQnwwEyv7y0Rq84DwpHGe2Y7kh/o6/x5nz2vQMMEy93EZRRD34TpuLY9gGvgvnaNM5dUHdsq1ZJVHhxwYuFhoEaGpvQ9Ryg3Vwzz33XLP3MzC3aAw7YcIE0eKYaqzPhYnFT9p5f/XVV7KwXq4Nzj6DE4FAKcDVgcvDTMBg+v777807fwb2PWZNbntEBj2zUlSKRilAkCKJNd24T3EbB7hIVPg5UWzUYiA6UiwMWCrgHCPMudEnogwIqp95hmnCwMAPwEdA63HdriZnuSW0OzMFAo/d7/YmLRTlAtQ+M0vkRjkYTJiLxVoklgs4p5x3seuLAre4Pi4SFX7sWgShmF2KJsRet+XIxAEku9xmumh4HmSQFdcZCAg9A9p98CgBfIOoC2/QvZqB4zbLcsH9xelNY3dr7gOOOXXKttG/f38rvk6iwg8IERZbM5UbxfSOrVhueJmXLnCs/TozlwrcH0KsuSxQgIONiRE0DFxKELkqlL2PCtqa0D80LhIXflpr0KGhGOiq9sQTT5i98gBNjbninarRMDieZHfLCWZFTCY/RYLSIAdAiJSBkhYwMzFjRmlIVgiEoFkHIS4SJbYByttYfKwYLr/8cilVLCeoQoKFqu1zc0QpbcJIySE06HJCC5Gsijlo0CBz5GdQlQZdGnbnLrvskgqGJ4B0R9WabSIhdHRW9IwNMwgSAxEJP0JXLtBYaC9vuK/UIIqS20OIpYBsRRfiAg2Pb5SPqkGIliwx9AJmAb9kWqnh8o5YvM4WmAVt+IiJa36KLqhbRYMWgjY3hCdPq+1yQZs7y60hDLTdmigFOgzQ8FCgTzjhBKFO50I7xUqbA0IBh/5LXbAeAObV8oD26Sw+N2zYsMgdM3LBM0KutAlojkRD4sLPA9OjdFnv90LYc889pVtBuaCd7lZcfAYEAzMtuOKKK8Q803a0OdIamBvaLhaOP/US3qKYcsBVHs8++6z8tIGddtop9uclLvxoI6qSKCQphr59+0oJIE2bygEKZ3K/m/PXM6TZKz9okcJq6Oeff7454g8GLM2nKIvkb5YsWWJeKT0YjPQCYpELW/j1r3+9XPloJLRYP8mC4gaiKEHS3ZDSWCytHMDvgDPk5edg79NBIE2A8kAUJQh/iWuhszQJulJ2c8gFyUOiZnE5Vy6IIFHgEwclEX4cL7grZDqLgYsqVjCSJCBOeeP8o0aN8l2wrZxwef9BE0gMavIUULzLOQCgZASRgSDgHpA1j8PnKonwA8hIUHKDRCBolMpWDtBDyFt6yUJuQch5pQZkQFigYUBiCKo0PYPKAajhZH1tRaFQqETooqJkws8FU+TADSgGkiNkfMthbqAlWRoHpiigJoHpOgmGYhxAo8aUDJtA4t7SX6ccNQDM5tBdgtBEggAypHZ6zV54lEz4AbRlbnwQ0Lo8qU5dxYA54W2+BE8/yKAtNbiXQdq75wJtCZGwHAOAWmoW0rMBFsOIcv0uSir8jHw0ehCCFxQDCtttJkeCggFHH36qwsCjjz4qs4Gt6doWqFSjsinKecESJaloqwYiKCANYq7YACZpnKKZkgo/YNG4oE6PbRvRCwScbDLajyw0G5VSrnmDOUEPTqIlvBdnzUYLFZtAmeD40uUhCnDkGQCYQqUC9xtH1UY1Fv1R40R8Si78CBxaNQgQOkwfGww+wCDC3qT/J2xTUuQU21CQDgWD8CHHMCfQjBDJ0CwMAJbIZyB6w6BpALW83hXhw4D7iwnSp0+fkl0XygVfxYbJhSzxvKIqx5ILP6DeNejKfWg3amXjaH+cVxavo9sxnZGpkKLYnYefC47zOsv40JEZLcXgQMvAnR83bpx5ZzpAdwmENyq4BxMnTpTSSi+bNUkwo1KDHBfIBDNf1FmkLMKPeYE9H/Rm09WMAoawgPhEF2hszCgmC4JBiBaNzyzAKuncbG9bkTSAGoQ47VkARTy224vnA6HkKM/TD/hiYSNeLhKnN/iBhSagDbO+VhDQp/KTTz6RvpVB8cYbb0han+/RgiHp9XyAcAVJiuWPtO0vP90NOvPUqVOlQS3nq++Zuvnmm81fpgNnn322cH7igM7QDzzwgNyrpHHggQdKb1IbgOqhZ2uzFxItY6D0QJtjdwd1ttDi2OVBNBzZP0J5U6ZM8TVtXGAOYfMSx8cPYaVHQmfuhr2PQ0XGGfOHGDW/U+ObhBMeFZRMQl+Ia7djh5MES9r+Z4lRvscGDjvssMj5oLIJP0KJY5lbL1sIJJyY4ovxQ0aPHi2Cnw/UDGMOweOho1yxaAnfx3fjeFNtBt+nXPQLP6BAMMtstPSgODzpkk38p7CLbucDz4/nHQVlE35AaSD2eJhl6xHCAQMG5O2RQ1QGh9oPxLTHjh0rNa+PP/546iI3cYBDz4LRccOW3FeKYZIsKXWjNDaA7LDMVBSUVfjBXXfdJTciTBMm2nYQncgVXvbRgH5UBF6jERWJoRURCD3a1AYJjzphzDxmyCTg0hyIrMUFPKWo3KuyCz/mDzTmsMkstMfkyZPNXgtgLNJpIRd8B0QwemmuyGDGC+NHFQKt1pNqJMbzwM+yYTqSnCQUHQVlF34A14QQIhcSBlOnThXnyQVazy/hQ1+bNC3clhSgjeCQ5zP7woAepQQNorSGD4Ig/ZyCAPp5kK6AfkiF8HMTEP6wyRo0CFOemy0kfpzb2uPTTz8VbchM0R7gtjm3cb0sAZsUuRBT14bwE7Fr08IPEH6ENOyau0zxmDo4amh3bwLKNalontReQOKQugl6isYFMyXmKNEZ28CnsCX8+HlRkArhx9ZnGsSEodoorNPGA4d2gDbxmj2sWwslIQnNlWYQEeM+BmkWVgwwW4866iizZw+2hJ+cDlyhKEiN2YMDRBSHWDo3hs7NYUGvGshp+A6wR6FQ8JntETS4pce/DT+HBTeiUgj8gLLjOdkQfj6jzQs/Zo8b7aHvJDNBmJ79AA1PxpbPIn9Ay/D2DFr62VirC2UShzyXC543z9dGLUGbF37iyblMC2x/ZoCwhDQGALQEnCAbIb+2DLo6YwrOmTPHHIkGZg+Uia2yUp53VIHNRZsXfpwWTJRcwDREQ4QtUoaOAHUCBzipRE1bAUuD0i4wrpZFGZEktOE/8byp57aBNi/8hCchrfkB55d0e1gtzvvh7/DgoTy0VyCs9B+F0hHH/ieogPaPu6QrwIxCMdlAm3d4uRl9+/Y1e61BAQoDIErIjawvD56oj62FzNoaEHryIYSE4zSNwuyBPxS3QSzP89BDDzV78cAs0qNHD7MXDmXh8+dCT8lq7bXXNnutMXz4cHXOOecorS2UdoLN0WCgXyW8/NGjR6uePXuqW2+9VWltaF5tH9Cmo3riiSeUHgRqhx12iHz9e+21l7RA517Gwd///nfVv39/sxcf2q8xv4WEGQRlBcy8YotVAyi7+AC034syhUOCIvsJFyQ3E9wegCmIloyzijmZY8KUcXwpZnFC2jaA1UAiMwpSofnvvvtupe1Ss5cfNCedPXu2NCjV9nzo9tt09qWCSAuA2mKLLaRC7JtvvjGvrvigYewLL7ygLrzwwsgLWFDRdtRRR6mRI0eaI+FAw9xPP/1UaYfXHIkHZjPt15m9cEiF8PMgKG0MAqZeVuV47733ZPrVA9i8EgwrrbSSeuSRR6TFt/YhZCA8+OCD5tUVH1wvJuSOO+4YuXc/pict57///ntzJDgQ/OrqahlENkBLedrgR0EqhJ/63DCjFzueZXi0uaQOOOCASP3nGWzvvPOOmjlzpjrxxBNlVmBAtAecddZZIjSHHHJIaOUBmEGuvfZapc0ncyQ4nnnmGbX11ltL63cboK47qvCnwuZn0boo6XPIbJSw0XiJNuhuhjgssIXhBNH4lfwAq3wTQluRQSEJBUF0oY7iPxFCJYIWtiCF5l8UMNkCNbxRV6NPhfCTjaXxalRoP0CIXAguFOY4oEAeajSONZniuC1B0gyEnsSVX1VcEBBG1uZT4MQXK9NDPYm6HrEfKIRnwesoSIXw2yA5UXxBcysIcjYouDygMWPGCD0ADUeHhKAPuS2BzC/NYyEChgX3g2TVjBkzzJHCoG46aLe+oIDOHFXhpUL4bZGcMHtYjp8KJFtZXWYkSvpoDUKYkAWQVzTOEOFClIbbmDcMoE8HLZ4588wzAw+UIKBWG8s9quyUXfjjcDPyAU4Q5XzDhg2ztgwOAs+Dw0SDl3LTTTfFnq3ShIceemhZY96wYJkkKr4KdeDjc/HNbFLMye5SbBMVZRd+HMs4F5APsEGZEmk6ZbsOlQURSJShdaANzJ07N5LQpA04v4MHDzZ7wYH5c+CBBzq777573vtA1wzbK9yQtPRrWBAUZRd+Rq9tO9AF0aDzzz9ffAq4Q3Gd4Vzw+ZgMF154ofCHyFJD/MJfaIv+AdcDwZCquLDnj8l5wQUXyKIeuTMidRUQDDGRbIL7HaXoyUXZhR/hsa0RcoGtyZROm0EKvJPS0jzcY489VvwDNn4nhNuWBgKkNSJn+DlRwGIi+Fx0zECxXX311eLTJbG2AaZWnAqzsgv/a6+9FojXEwdHH320tBikuIPIBnZ71NhwEKAFaXNOV2f8A7gs+Ah8f1sAtdT4YVFXxWENBCq/8LsIhSaxthr+BU56nMZXZRd+SG2nnnqq2UsGzCyu3Y8DjEYm3nzQQQdZjTn7gYFA6z/CsFSm0VKbwU67lahJuVIAzY3PlNZkH/168tWABEXZ6Q3vvvuu0k6W2UsGX3zxhercubP8Dv0VWjNUhvnz5wvXBbJcUiCNv88++yjtnCk90ITEB78FOgU0bj0jKT0QhG6QJpx00klqq622UgMHDjRH0gU9m6i9997b7EWEGQRlA+aIjRYbhYAN61cKieYlfEmcWj/kxGcBL/A7WOiOCAnmAXYx1Fwq17CV0wACBGj/NNK/ifLgL8ZB2TX/woUL1corr2z27EPbhkKj1Q6oOfIz0MpHHnmkzAxo4l69eskiDfqmJl7wooVdSHnPPvussFq5DxMnTpQZioU0unXrpvbYYw91/fXXq/vuu09mKop+Son11ltPjR8/Xk2YMMEcSQcgMjJbQpCLBTMIygZIbUlqOrdTQBD7mvdAuqKY3ma3gihgZsCuxfaGY8TshM9ALx4W1KMLHcs72ciMFwIOJcmpNAGNbyNIUnbhJwSZZIcFpmy/zhCFQCSBbgXEpnGW02CGMDDff/99MYs4J0KprrkEU5LmtESwGBA2M89QCIhWpQk33nijFf5W2YUfAYPtlxQol9PmjNkLBx48rc2JDKVlEHiB0oDRyMqGrDRJHoPZgUFBYo9ZlaZV9O0hC835B03AMfMQriVUSaIwTaAbhY3ciZBqjAVUFugHFakYJSiwqVmsTTuX5kh4YI+fdtpp6qGHHlK9e/eWyi+iRGkEUSNKM7X2F7uYc6V08+OPP1aff/653GseOcVDq6yyivxkc6EVkbz/yy+/VNpcFL+Dyjeqr9IAnoUe7Oqaa64xR6KjrMKPI4pjF7WeNAhwGHFgb7jhBnMkOhAq6l8JlQ4aNEgegq1yvFJCz2gyAFiFks0LlJEbFiZIwABIE4YOHar0TKS23357cyQGEP5ygTW5sPmTBIUpfgtWxAHMRDpJEG6Dl0TlV3vsBlFqkHnG/yjEHg2DsoY60UDrr7++2UsGTPebbbaZ2bODjh07SieJ559/XswqZrDdd99d+gLRIyjpMGl7RF1dnazfS+G8LROs7HF+7M4kQQzfL8ZvC6uuuqpkQ8naTpo0SR4QmdspU6bId2ewA5QN93aTTTYxR+KjrML/ww8/WOvfkg8IYJcuXcxeciBhRjeEBQsWSOr9/vvvl9XB6XBGr5wM0UGHDdrMTJs2zRyxg7IKP+bBzjvvbPbsg8EFkp5dvGAQkHlkembgESU67LDDJHt8yy23tKsmWTbw+OOPyz2kV5P1iJOx/csCYvBhFqAOC+pK4aaUGySo4LPjIBOHp1sC+ytaLbBtkOEm006XiCRQVs2vvz9yq7kgIGa90UYbmb3ygdkAvg4OMrMRoVJCjLASYXzedtttMq3jOGdo6eCHz3TJJZeoDz/8UJqUJYGyCz8x+KRAoidtyahOnTpJt2k6Tz/33HPqrrvukmOnn366WmONNdSGG24oD55EU3sD/hIU77XWWkvuyfTp0xM1Wcsq/ERhzjvvPGk2mgRgQiYdSo0LBJ6EGbYt2Vma8NJOHEblpptuKpGkNPL9beKll15Sffv2lRaSzJIfffSROvnkk5NPsInxUyZgC8NHufPOO80Ru9CCI2012iJI5FCfSpUbnSJonoXPQN8gCG5J1SGXAi5JT89wsmYwC15wXXCpSomyCj9AOGkvwg2xCYRjq622cl5++WVzpG0DajH1zmSsoRgzGCCdjRw5UppNlVpwwoLzp2MbREEYqSw4zjoLnLvtZx8UZSe2YfIQ6586darwNmyAS6KVOWHFuXPnCl9lRQPOPDYyXY+xjblOioIIs2677bbqmGOOkWQb5lOpSWmQ5zBdIMdNnjxZvfXWW+qDDz4QM44O0f369ZNABCZOOVF24QfcGCqpuElaq5mj0cDljBo1SqgG3Oi0EbOSAtdNtIhICexNhG/RokVCt6AVOzkV6pf5yaIcKAQibfzEuUQQuWeF7hffQVTK/S42fBE+3/VL+HycVPwYlBrUEoIOJBqhhaQJqRB+oM0TKWSnoD3qTSJ8+Itf/EL67Z9xxhnmaAYveNxEwVhYgo2Z111k4vbbb1+2YIWfWDBAeDZDhgyR2QQhJ2iBYGvfTUoz2xQQ/rSAFdexZ6OUD+rpXyq2KIjPkCEIUiX8gMgPQrz33ntLSV4x0EUZJxAHKmqTpQztE6kxe7zAYcKJu+yyy8QGHTNmjGRCsVExbbA1MZNYFofliTCXcJhXRMc2Q3JIpfC74NRIb8+YMUPpGUGynpSxkbjCMR43bpw6+OCDM6HPEAklFX6cKZymZV/pfnOF/l9r+GZ9nNea9X6j3ir161XNLcfqtYPVib9rapb3N1cqVV1Rrz9DC75TLcfKHDnL0MaQiUuGdouSCr8bQ+anu1XyE7Wt4VRWtGy8T2/VWtGzMUE4TrP66ael+hfeW6WateqvqGjZMmSIgpILf+6GvcJPBJwEiZhEeqtsdFSFKYWtrWxWtd8sVl/Of0fVfvWNNo+atfhrwdf/ymdUyPBoeXOGDAFRFs2/DOxyBvxE4LV9X601e0et1Tth9Dc0q6UVTeoHtURVv/K6WnTTZNX8z7nqp9olesZA2Gv4M/7YbBkyBEcqbYaGKkc11egZoapK1WpftqPW+j8+/5Tq8fTjavFTs5Tz+WeqqaFOZgl3y5AhLFIl/C0mjNHj+mejtv/rGutVw4fz1UqvvqLW+q5aOa+9pL544yn1VXO9mEkZMkRF6oQfwa/UNn1lc4M2eZTq9GO9WvziS6qy+lv1w/prqNW7dlQrzX5KVX32acsfZcgQEak0e8TZ1Rs8qc5auS/+fqlqHHCY+qR7d1XRf7ha2mVr1US5qx4prsGjx0lm9WcIhdRkeF3bvYLx2KT3xaRpVM0NtaqpTju8H7yt3qY35oizVXXf3qpz526qQ1WNqtNvJxwKn7CxqlKVlrmeoS0jdZq/SZ9RvZZg+kpol1c5NdWquesqql6tqr6rbFRO51WV03Ed1VhdJZlghF60vvk9Q4agSJXwi+bXGl9PR1q4laqrqdQ/q7UvoAW9Y40eGLVKNf+oumjfoGNjnfwN70f6mb4YBBkyBEXqNL/SwtwBgdYDoElLc5MW6SqnWnVqbFY1DQyEb5RTpWeAqmbR/PB/AO/NjP4MYZA64RfbXwtyRy3ZKzVogdfCj12/lFmgoos2f+pVZUWTqmruJMJPrkv/SQvrIRP+DCGQKuGH8VlZVaUFuUJYm452YKu0QHdiIuhYrZqa6lWXuhot9BXiG8ALauwAxUGpGvxjBkCGDAGROs1PrN+7yYDQWzWDokoLfZPW+qj5ykzSM8RD6oQf5A4AGQS8QC0A/i2OsT7WCtg/GTIERGqE3yvoftCviKnTTHeBppaCF1fU5e8ymydDSKRS8/sBnr/CB/hRu7zayyUdJsktveEkNzMUMlMoQwi0GeGvEGcYs6dZdHxGassQF21H+PVWVUkFF0a/3suUfIaYaDPCD7DtqeLCsc30foa4aFPCL9CmvQyAzOzJEBNtRvibaqpVdWNHVdNYpxq1l1uTObcZYqLNCD8h/OoK7fTWNapqLB99jIQXG9GeDBnCItXCLzwfI9gkdSuqtM1f36g6iMXTkujKlxfIkKEY2ozmr+7UQTV06ajqOsH90Qcam5cJfzYAMkRBqoUfTg+CTXizqrpaNa/eWTWv1lmPhCqhOGTIEB1K/T/iGqNfWDu5RgAAAABJRU5ErkJggg==\"/>\n </p>\n <p>\n  <sup>\n   [Source: CC BY-SA 3.0, https://commons.wikimedia.org/\n  </sup>\n  <sup>\n   w/index.php?curid=606903. Open access.]\n  </sup>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   contracts to generate high pressure / pumps blood at high pressure;\n  </li>\n  <li>\n   pump blood (through the aorta) to all parts of the body (apart from the lungs);\n  </li>\n  <li>\n   receives blood from the left atrium;\n  </li>\n  <li>\n   contraction is stimulated by the AV node;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "b3-2-15-adaptations-of-the-mammalian-heart-for-delivering-pressurized-blood-to-the-arteries",
+      "b3-2-transport"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State how many water molecules are shown in the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State how many water molecules are shown in the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the interactions that are shown between the water molecules.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   With reference to the diagram, explain how water in sweat evaporates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the reasons for secretion of sweat in humans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  10;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  10;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  hydrogen bonds/H bond;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   heat increases molecular motion/vibration;\n  </li>\n  <li>\n   (hydrogen) bonds break/bonds between water molecules break;\n  </li>\n  <li>\n   water evaporation is separation of water molecules/water changes from liquid to gas/vapour;\n  </li>\n  <li>\n   heat removed from skin surface/body;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   cooling/removal of heat/lowering body temperature;\n  </li>\n  <li>\n   to prevent overheating\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   to help maintain body temperature/for temperature homeostasis/for thermoregulation\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   to keep temperature at 37 °C;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-1-2-hydrogen-bonds-as-a-consequence-of-the-polar-covalent-bonds-within-water-molecules",
+      "a1-1-water",
+      "d3-3-6-thermoregulation-mechanisms-in-humans",
+      "d3-3-homeostasis"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the conclusion that can be drawn from Cross 1.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce reasons for the difference between the results of Cross 2 and Cross 3.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   There were 79 progeny in Cross 4. Predict the expected results by completing the table.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The proportion of banded and unbanded individuals in a population of\n   <em>\n    D. plantarius\n   </em>\n   can change. Suggest how such a change could occur.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   allele/trait/gene for banded is dominant/allele for unbanded is recessive;\n  </li>\n  <li>\n   because two banded spiders produced some unbanded offspring\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   because there is a ratio of 3 banded:1 unbanded;\n  </li>\n  <li>\n   both parents are heterozygous;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept answers given in the form of Punnet squares.\n  </em>\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   (1:1 ratio) in cross 2 as banded parent is heterozygous/has one copy of each allele;\n  </li>\n  <li>\n   (no unbanded offspring) in cross 3 as banded parent is homozygous/has two alleles for banded;\n  </li>\n  <li>\n   (in crosses 2 and 3) banded parental phenotypes are the same but their genotypes are different;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:22px;\" width=\"262\">\n  <tbody>\n   <tr>\n    <td style=\"width:78.9815px;\">\n     0\n    </td>\n    <td style=\"width:80.3357px;\">\n     79\n    </td>\n    <td style=\"width:84.8032px;\">\n     0.000/0\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n  <em>\n   All three parts of the answer must be correct for the mark to be awarded.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   natural selection could favour one type over the other;\n  </li>\n  <li>\n   greater survival of one type\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   one type better camouflaged than the other type;\n  </li>\n  <li>\n   one type more attractive during courtship/mate selection;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept a list. Natural selection or sexual selections alone are not adequate.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d3-2-5-effects-of-dominant-and-recessive-alleles-on-phenotype",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the sequence of events that occurs during mitosis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how the presence of a Y chromosome in the cells of a human embryo causes it to develop as a male.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   supercoiling/condensation of\n   <span style=\"text-decoration:underline;\">\n    chromosomes\n   </span>\n   ;\n  </li>\n  <li>\n   breakup of nuclear membrane;\n  </li>\n  <li>\n   growth of spindle/microtubules;\n  </li>\n  <li>\n   attachment of spindle/microtubules to chromosomes/centromeres;\n  </li>\n  <li>\n   chromosomes line up at the equator/middle\n  </li>\n  <li>\n   division of centromeres;\n  </li>\n  <li>\n   separation of sister chromatids/chromosomes\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   sister chromatids/chromosomes move to opposite poles;\n  </li>\n  <li>\n   reformation of nuclear membranes around chromosomes at each pole;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   If events are not in the correct order, then award a maximum of 4 marks.\n  </em>\n </p>\n <p>\n  <em>\n   Names of phases of mitosis not required.\n  </em>\n </p>\n <p>\n  <em>\n   Award a max of 1 mark for listing the phases in the correct order when the list constitutes the entire response.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   supercoiling/condensation of\n   <span style=\"text-decoration:underline;\">\n    chromosomes\n   </span>\n   ;\n  </li>\n  <li>\n   breakup of nuclear membrane;\n  </li>\n  <li>\n   growth of spindle/microtubules;\n  </li>\n  <li>\n   attachment of spindle/microtubules to chromosomes/centromeres;\n  </li>\n  <li>\n   chromosomes line up at the equator/middle\n  </li>\n  <li>\n   division of centromeres;\n  </li>\n  <li>\n   separation of sister chromatids/chromosomes\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   sister chromatids/chromosomes move to opposite poles;\n  </li>\n  <li>\n   reformation of nuclear membranes around chromosomes at each pole;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   If events are not in the correct order, then award a maximum of 4 marks.\n  </em>\n </p>\n <p>\n  <em>\n   Names of phases of mitosis not required.\n  </em>\n </p>\n <p>\n  <em>\n   Award a max of 1 mark for listing the phases in the correct order when the list constitutes the entire response.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li style=\"text-align:left;\">\n   gene/genetic information on Y chromosome causes embryo to develop testes;\n  </li>\n  <li style=\"text-align:left;\">\n   (developing) testes in embryo secrete testosterone;\n  </li>\n  <li style=\"text-align:left;\">\n   testosterone causes male genitalia/penis to develop;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Accept SRY gene in mp-a\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d2-1-7-phases-of-mitosis",
+      "d2-1-cell-and-nuclear-division",
+      "d3-2-11-sex-determination-in-humans-and-inheritance-of-genes-on-sex-chromosomes",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how plants are named and classified, including recognition features of plant phyla.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the changes to chromosomes that occur during prophase in the first division of meiosis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the stages of the carbon cycle that involve plants or materials made by plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   binomial naming\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   genus and species name;\n  </li>\n  <li>\n   plants constitute a kingdom\n  </li>\n  <li>\n   plants are eukaryotes/belong to the domain eukaryota\n  </li>\n  <li>\n   classified using a hierarchy of taxa\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   kingdom, phylum, class, order, family, genus, species\n  </li>\n  <li>\n   bryophyta/filicinophyta/coniferophyte/angiospermophyta is a\n   <span style=\"text-decoration:underline;\">\n    phylum\n   </span>\n   (of plants);\n  </li>\n  <li>\n   bryophytes have only rhizoids/spores (produced in a capsule)/no roots/ no vascular tissue;\n  </li>\n  <li>\n   filicinophytes have stems/roots/xylem-phloem/reproduce by spores/leaves that uncurl; but no seeds\n  </li>\n  <li>\n   coniferophytes have seeds in cones/ vascular tissue/xylem-phloem/cambium/ but no flowers/no fruits\n  </li>\n  <li>\n   angiospermophytes have flowers/produce seeds/produce fruits/vascular tissue/xylem-phloem;\n  </li>\n  <li>\n   named example showing of the classification of a plant from species to domain or vice versa\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    cladistics\n   </span>\n   is used to reclassify groups of plants\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   named example of a group of plants reclassified by\n   <span style=\"text-decoration:underline;\">\n    cladistics\n   </span>\n   ;\n  </li>\n  <li>\n   use a dichotomous key to discriminate among plant features\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Each phylum of plants requires at least 2 features for the mark.\n  </em>\n </p>\n <p>\n  <em>\n   Mp-e does not require all 4 phyla to be named.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   pairing/synapsis of homologous chromosomes / homologous chromosomes form bivalents;\n  </li>\n  <li>\n   crossing over / chromatid breaks then rejoins to non-sister chromatid;\n  </li>\n  <li>\n   exchange of DNA/alleles/genetic information between chromatids/chromosomes;\n  </li>\n  <li>\n   recombination / new combinations of alleles/genes generated;\n  </li>\n  <li>\n   condensation/shortening/thickening/supercoiling of chromatids/chromosomes;\n  </li>\n  <li>\n   formation of a chiasma where crossing over occurred;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   absorption/diffusion of carbon dioxide from the atmosphere/water by plants;\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    photosynthesis\n   </span>\n   fixes/converts carbon (dioxide) to carbohydrates/carbon compounds;\n  </li>\n  <li>\n   respiration in plants converts carbohydrates/carbon compounds to carbon dioxide;\n  </li>\n  <li>\n   saprotrophs/detritivores digest dead plants/plant matter releasing carbon/carbon dioxide;\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   decomposition returns carbon to the soil/releases CO\n   <sub>\n    2\n   </sub>\n   to atmosphere/water/environment\n  </li>\n  <li>\n   peat forms when decomposition of dead plant matter is incomplete storing carbon/ creating a reservoir;\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   fossilization of carbon stores carbon as coal/oil/natural gas;\n  </li>\n  <li>\n   forest fires/combustion of plants converts (carbohydrates/carbon compounds) to carbon dioxide;\n  </li>\n  <li>\n   plants are eaten by consumers (moving carbon in the food chain)\n  </li>\n  <li>\n   humans use plant products for making cloth/household items/building/arts creating a reservoir for carbon\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   Humans burn fossil fuels releasing CO\n   <sub>\n    2\n   </sub>\n   ;\n  </li>\n  <li>\n   Plants act as carbon sinks/reservoirs\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Carbon may be used in place CO\n   <sub>\n    2\n   </sub>\n   an carbohydrates\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-2-2-difficulties-classifying-organisms-into-the-traditional-hierarchy-of-taxa",
+      "a3-2-classification-and-cladistics-(hl-only)",
+      "c4-2-17-constructing-carbon-cycle-diagrams",
+      "c4-2-transfers-of-energy-and-matter",
+      "d2-1-16-consequences-of-mutations-in-genes-that-control-the-cell-cycle",
+      "d2-1-cell-and-nuclear-division"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data in the stacked column graph, describe the features that characterize the B2 enterotype.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the median number of bacterial cells per gram of feces in the R enterotype.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the graph, identify the percentage who had received the tuberculosis vaccine in 2012.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the difference in time between 40 % of children receiving the hepatitis B vaccine and 40 % receiving the pneumococcal vaccine.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the conclusions that can be drawn from the graph showing data for PCV and\n   <em>\n    S. pneumoniae\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest reasons for the difference between the data for\n   <em>\n    S. pneumoniae\n   </em>\n   and\n   <em>\n    H. influenzae\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data in the violin plots, deduce the age range at which children are most likely to develop ARI due to\n   <em>\n    S. pneumoniae\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (g)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest reasons for the difference between the fraction attributed to\n   <em>\n    S. pneumoniae\n   </em>\n   in all cases of ARI and in cases where antibiotics were used to treat the infection.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (h)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   When there is no vaccination, the estimated number of cases for lower-middle income countries is larger than in either low income or upper-middle income countries. Suggest\n   <strong>\n    one\n   </strong>\n   reason for this.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using the data, predict the effect of universal PCV vaccination in LMICs.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (j)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline likely health benefits of universal PCV vaccination of children, other than reducing the incidence of ARI.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   nearly half is\n   <em>\n    Bacteroides\n   </em>\n   / more\n   <em>\n    Bacteroides\n   </em>\n   (than other enterotypes);\n  </li>\n  <li>\n   few\n   <em>\n    Prevotella\n   </em>\n   /fewer\n   <em>\n    Prevotella\n   </em>\n   than in P and R\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   less\n   <em>\n    Faecalibacterium\n   </em>\n   than other enterotypes\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Ruminococcus\n   </em>\n   is the lowest in B2;\n  </li>\n  <li>\n   only 40 % other taxa / fewer other taxa (than other enterotypes) / less overall diversity (of taxa);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   nearly half is\n   <em>\n    Bacteroides\n   </em>\n   / more\n   <em>\n    Bacteroides\n   </em>\n   (than other enterotypes);\n  </li>\n  <li>\n   few\n   <em>\n    Prevotella\n   </em>\n   /fewer\n   <em>\n    Prevotella\n   </em>\n   than in P and R\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   less\n   <em>\n    Faecalibacterium\n   </em>\n   than other enterotypes\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Ruminococcus\n   </em>\n   is the lowest in B2;\n  </li>\n  <li>\n   only 40 % other taxa / fewer other taxa (than other enterotypes) / less overall diversity (of taxa);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  1.9 × 10\n  <sup>\n   11\n  </sup>\n  / 190000 million / 190 billion (cells per gram);\n </p>\n <p>\n  <em>\n   Cells per gram not needed as in stem. Accept 1.80 × 10\n   <sup>\n    11\n   </sup>\n   to 1.95 × 10\n   <sup>\n    11\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  89%;\n </p>\n <p>\n  <em>\n   Allow 88 to 91 %.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  13\n  <span style=\"text-decoration:underline;\">\n   years\n  </span>\n  ;\n </p>\n <p>\n  <em>\n   Allow any value between 13 and 14 years inclusive.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   number of deaths (due to\n   <em>\n    S. pneumoniae\n   </em>\n   ) and percentage of children not vaccinated (with PCV) both fall (along the years)\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   number of deaths (due to\n   <em>\n    S. pneumoniae\n   </em>\n   ) decreases while percentage of vaccinated children (with PCV) increases (along the years);\n  </li>\n  <li>\n   <span style=\"text-decoration:underline;\">\n    positive\n   </span>\n   correlation between number of deaths and percentage of children not vaccinated /\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <span style=\"text-decoration:underline;\">\n    negative\n   </span>\n   correlation between number of deaths and percentage of children vaccinated / vaccination reduces the number of deaths;\n  </li>\n  <li>\n   increased reduction in the number of deaths from 2010 onwards;\n  </li>\n  <li>\n   still large number of deaths/large number of children unvaccinated in 2015;\n  </li>\n </ol>\n <p>\n  <em>\n   Comparative terms expected (do not award mp for just stating values).\n  </em>\n </p>\n <p>\n  <em>\n   Mpb: do not allow “directly or inversely proportional”.\n  </em>\n </p>\n <p>\n  <em>\n   Mpb: Do not just accept “positive correlation” or “negative correlation” without a clear indication of the variables being correlated\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   Hib vaccination program started earlier/PCV vaccination program started later\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   Hib vaccine developed before PCV vaccine;\n  </li>\n  <li>\n   deaths due to\n   <em>\n    H. influenzae\n   </em>\n   drop earlier than deaths due to\n   <em>\n    S. pneumoniae\n   </em>\n   because of earlier vaccination;\n  </li>\n  <li>\n   more deaths due to\n   <em>\n    S. pneumoniae\n   </em>\n   than\n   <em>\n    H. influenzae\n   </em>\n   (in any year) as lower % of children vaccinated against\n   <em>\n    S. pneumoniae\n   </em>\n   (compared\n   <em>\n    H. influenzae\n   </em>\n   );\n  </li>\n </ol>\n <p>\n  <em>\n   Mp a to c: accept vice versa.\n  </em>\n </p>\n <p>\n  <em>\n   Comparative terms expected (do not award mp for just stating values).\n  </em>\n </p>\n <p>\n  <em>\n   Mpa and mpb: there must be a clear reference to time.\n  </em>\n </p>\n <p>\n  <em>\n   Mpc: there must be clear indication to vaccination.\n  </em>\n </p>\n <p>\n  <em>\n   Allow no points for bacterial virulence / disease severity, etc., as bacterial pathogenicity is not addressed on graphs.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   2 – 5\n   <span style=\"text-decoration:underline;\">\n    years\n   </span>\n   ;\n  </li>\n  <li>\n   higher number/value/percentage/attributable fraction for 2 – 5 years (than 0 – 5years);\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (g)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   highest attributed fraction (in both age groups) is in cases where antibiotic used;\n  </li>\n  <li>\n   ARI cases due to\n   <em>\n    S. pneumoniae\n   </em>\n   can be severe so antibiotics are often prescribed;\n  </li>\n  <li>\n   all cases include other causes / viral ARI which may not require antibiotics;\n  </li>\n  <li>\n   antibiotics administered without prescription or physician consultation/to reduce symptoms;\n  </li>\n </ol>\n <p>\n  <em>\n   Mpa: Comparative terms expected (do not award mp for just stating values).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (h)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   higher population in lower-middle income countries/subgroup (compared to the other 2 subgroups);\n  </li>\n  <li>\n   low income population may not have/have less access to medicine/antibiotics/vaccination (compared to lower-middle income population)/ low-income populations may not report data\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   upper-middle population may have better living conditions/more adequate medical diagnoses (compared to lower-middle income population);\n  </li>\n </ol>\n <p>\n  <em>\n   Lower-middle income subgroup is not the same as LMIC (includes all 3 subgroups).\n   <strong>\n    LMIC should not be used as equivalent.\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Mpb: accept vice versa.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  (worldwide) drastic/huge/important/significant decrease/decrease of 42 million ARI cases (treated with antibiotics);\n </p>\n <p>\n  <em>\n   There must be an indication of magnitude of decrease in the answer for the mark to be awarded.\n  </em>\n </p>\n <p>\n  <em>\n   Accept 30 to 50 million for the decrease.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (j)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   less use of antibiotics;\n  </li>\n  <li>\n   less antibiotic resistance (in pathogens) / antibiotics more successful at treating infectious/bacterial diseases;\n  </li>\n  <li>\n   decrease in health care costs / less money spent on antibiotics;\n  </li>\n  <li>\n   decreased mortality / protection of immune-deficient patients/non-vaccinated population/ achieve herd immunity;\n  </li>\n </ol>\n <p>\n  <em>\n   Since the question already states “other than reducing the incidence of ARI”, this reason should not be accepted.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-5-prokaryote-cell-structure",
+      "a2-2-cell-structure",
+      "c3-2-1-pathogens-as-the-cause-of-infectious-diseases",
+      "c3-2-16-vaccines-and-immunization",
+      "c3-2-defence-against-disease"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the relationship between DDE concentration and eggshell thickness.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    one\n   </strong>\n   reason for a decline in the brown pelican population with the most eggshell thinning.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce, giving reasons, which brown pelican population decreased the most in the years following the study.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the biomagnification of DDE in brown pelicans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  the higher the DDE concentration, the lower the thickness/higher the thinning\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  negative correlation/inverse relationship;\n </p>\n <p>\n  <em>\n   Accept vice versa.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  more risk of predation/ eggs break more easily/fewer chicks hatch;\n </p>\n <p>\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   California, as most eggs have a high level of DDE / most eggshells are thinning;\n  </li>\n  <li>\n   (California as) less chicks hatching (results in smaller population size)\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   (California as) birth rate less than death rate (so decrease in population);\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   DDE accumulates in (fat tissues of) organisms/bioaccumulation;\n  </li>\n  <li>\n   (brown) pelicans/birds feed on fish/organisms (that have accumulated DDE);\n  </li>\n  <li>\n   (DDE) is not excreted;\n  </li>\n  <li>\n   (DDE) concentration\n   <span style=\"text-decoration:underline;\">\n    increases\n   </span>\n   as trophic level increases;\n  </li>\n  <li>\n   (brown) pelicans are in a high trophic level (so have a high accumulation);\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-2-9-biomagnification-of-pollutants-in-natural-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State how many chromosomes there would be in male or female gametes of\n   <em>\n    L. purpureus\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Arginine and ornithine are in the same group of biochemicals. Identify this group.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Using a Punnett grid, explain the results of this cross.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for the F\n   <sub>\n    2\n   </sub>\n   generation not corresponding exactly to the expected ratio of purple-flowered and white-flowered plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  12;\n </p>\n <p>\n  <em>\n   No alternative.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  amino acids;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   male and female gamete genotypes/alleles shown as P and p (or others following convention with a suitable key)\n   <span style=\"text-decoration:underline;\">\n    in a punnet grid\n   </span>\n   ;\n  </li>\n  <li>\n   F\n   <sub>\n    2\n   </sub>\n   genotypes shown as PP, Pp, pP and pp;\n  </li>\n  <li>\n   F\n   <sub>\n    2\n   </sub>\n   phenotypes indicated for each genotype on the Punnett grid / 3 purple to 1 white ratio indicated;\n  </li>\n </ol>\n <p>\n </p>\n <p>\n  <em>\n   Accept other upper-case and lower-case letters for the alleles.\n  </em>\n  <br/>\n  <em>\n   <img height=\"182\" src=\"data:image/png;base64,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\" width=\"243\"/>\n  </em>\n  <br/>\n  <em>\n   No punnet grid = 2 MAX.\n  </em>\n </p>\n <p>\n  <em>\n   Allow ECF if alleles incorrect.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  chance /\n  <strong>\n   <em>\n    OWWTE\n   </em>\n  </strong>\n  ;\n </p>\n <p>\n  <em>\n   (any of the usual mechanisms causing recombination of alleles) NOT mutation.\n  </em>\n </p>\n <p>\n  <em>\n   Any wording that implies the bigger the sample size, the closer to 3:1.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-form-and-function",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "b1-2-1-generalized-structure-of-an-amino-acid",
+      "b1-2-proteins",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-reproduction",
+      "d3-2-2-methods-for-conducting-genetic-crosses-in-flowering-plants",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.20",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the effect of nitrogen compounds from agricultural land leaching into a lake.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the relationship between elevation and nitrogen concentration in leaves of pitcher plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   reasons, other than elevation, for the differences in nitrogen concentration in leaves of pitcher plants.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   excess nutrients/eutrophication;\n  </li>\n  <li>\n   excessive growth of algae/algal blooms;\n  </li>\n  <li>\n   blocking of sun prevents photosynthesis;\n  </li>\n  <li>\n   increased decomposition of algae/organisms;\n  </li>\n  <li>\n   increased biochemical oxygen demand/BOD;\n  </li>\n  <li>\n   other organisms/fish die due to lack of oxygen;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  the higher the elevation, the greater the nitrogen content\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  positive relationship;\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   pitcher plants consume more insects (at different sampling sites);\n  </li>\n  <li>\n   larger insects contain more nitrogen;\n  </li>\n  <li>\n   more nitrogen concentration in soil\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   more nitrifying bacteria in the soil\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   water-logged soil has less nitrogen;\n  </li>\n  <li>\n   use of N/NPK fertilizers\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   leaching of N in different sites;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d4-2-8-eutrophication-of-aquatic-and-marine-ecosystems-due-to-leaching",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State one cause of lung cancer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the name and function of structures I and II.\n  </p>\n  <p>\n   Structure I name and function: ..............................................................................................................\n  </p>\n  <p>\n   ..........................................................................................................................................................\n  </p>\n  <p>\n   Structure II name and function: .............................................................................................................\n  </p>\n  <p>\n   ..........................................................................................................................................................\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Structure III is the ovary. Outline the processes that occur in the ovary.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Structure IV contains a gland that secretes a sugary liquid. Suggest a benefit to the plant of secreting this liquid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   smoking/tobacco;\n  </li>\n  <li>\n   passive smoking;\n  </li>\n  <li>\n   Radon/other radiation;\n  </li>\n  <li>\n   exposure to arsenic/asbestos/smoke from coal burning/fires/silica/rock dust/vehicle exhaust fumes/nitrogen oxides;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   I is the stigma which receives the\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   /where\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   lands/is captured (during pollination);\n  </li>\n  <li>\n   II is the anther and produces/contains/releases\n   <span style=\"text-decoration:underline;\">\n    pollen\n   </span>\n   ;\n  </li>\n </ol>\n <p>\n  <em>\n   Both name and function must be included in each marking point.\n  </em>\n </p>\n <p>\n  <em>\n   The role in pollination should be stated. Do not accept “pollination” on its own.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   <span style=\"text-decoration:underline;\">\n    female\n   </span>\n   gamete/ovule is produced/meiosis to produce ovules/ovule develops;\n  </li>\n  <li>\n   Fertilisation occurs\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   fusion/union of male and female gametes/nuclei;\n  </li>\n  <li>\n   development of seed (from fertilised ovule);\n  </li>\n  <li>\n   development of fruit (from the whole ovary);\n  </li>\n </ol>\n <p>\n  <em>\n   Mpb: Do not accept union of pollen and ovule (Too vague).\n  </em>\n </p>\n <p>\n  <em>\n   Do not accept carpel/pistil as equivalent of ovary\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   attracts an insect/animal/which pollinates the flower;\n  </li>\n  <li>\n   attracts a pollinator;\n  </li>\n </ol>\n <p>\n  <em>\n   Mpa: Both parts of the sentence are needed to award the point.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d2-1-17-differences-between-tumours-in-rates-of-cell-division-and-growth-and-in-the-capacity-for-metastasis-and-invasion-of-neighbouring-tissue",
+      "d2-1-cell-and-nuclear-division",
+      "d3-1-8-sexual-reproduction-in-flowering-plants",
+      "d3-1-9-features-of-an-insect-pollinated-flower",
+      "d3-1-reproduction"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State with a reason whether pangolins are autotrophic or heterotrophic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State with a reason whether pangolins are autotrophic or heterotrophic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain what information is needed to find the trophic level of pangolins.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline evidence for evolution from the limbs of mammals such as pangolins.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sex is determined in the same way in pangolins as in humans. State how many autosomes there are in somatic cells of\n   <em>\n    M. pentadactyla\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  heterotrophic because it feeds on/eats food/other organisms /eats ants/termites/ doesn’t photosynthesise/does not produce its own food;\n </p>\n <p>\n  <em>\n   Do not accept “it is not autotrophic” as it is part of the stem question.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  heterotrophic because it feeds on/eats food/other organisms /eats ants/termites/ doesn’t photosynthesise/does not produce its own food;\n </p>\n <p>\n  <em>\n   Do not accept “it is not autotrophic” as it is part of the stem question.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   what (prey) it eats/feeds on/ stomach content;\n  </li>\n  <li>\n   the trophic level of what (prey) it eats/feeds on/the trophic level of ants/termites;\n  </li>\n  <li>\n   trophic level is the position an organism occupies in the food chain/web;\n  </li>\n </ol>\n <p>\n  <em>\n   Do not award points for indicating that predator information is needed.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   pentadactyl;\n  </li>\n  <li>\n   homologous with limbs of other vertebrates;\n  </li>\n  <li>\n   due to common ancestry;\n  </li>\n  <li>\n   adaptation;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  38\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  19\n  <span style=\"text-decoration:underline;\">\n   pairs\n  </span>\n  ;\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a4-1-4-evidence-for-evolution-from-homologous-structures",
+      "a4-1-evolution-and-speciation",
+      "c4-2-10-classification-of-organisms-into-trophic-levels",
+      "c4-2-6-autotrophs-as-organisms-that-use-external-energy-sources-to-synthesize-carbon-compounds-from-simple-inorganic-substances",
+      "c4-2-transfers-of-energy-and-matter",
+      "d3-2-1-production-of-haploid-gametes-in-parents-and-their-fusion-to-form-a-diploid-zygote-as-the-means-of-inheritance",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how temperature affects enzymes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how human activities have caused average surface air temperatures on Earth to increase.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   speed of reaction/catalysis increases as temperature rises;\n  </li>\n  <li>\n   faster molecular motion so more collisions between substrate and active site;\n  </li>\n  <li>\n   denaturation at higher temperatures;\n  </li>\n  <li>\n   (denaturation causes) shape/conformation/structure of enzyme/active site altered/damaged;\n  </li>\n  <li>\n   an enzyme works fastest at its optimum temperature;\n  </li>\n  <li>\n   inactivation at lower temperatures (due to very few collisions);\n  </li>\n  <li>\n   sketch graph to model the effect of temperature on enzyme activity;\n  </li>\n </ol>\n <p>\n  <em>\n   Graphs would need to be well annotated.\n  </em>\n </p>\n <p>\n  <em>\n   Must not be bell shaped.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   speed of reaction/catalysis increases as temperature rises;\n  </li>\n  <li>\n   faster molecular motion so more collisions between substrate and active site;\n  </li>\n  <li>\n   denaturation at higher temperatures;\n  </li>\n  <li>\n   (denaturation causes) shape/conformation/structure of enzyme/active site altered/damaged;\n  </li>\n  <li>\n   an enzyme works fastest at its optimum temperature;\n  </li>\n  <li>\n   inactivation at lower temperatures (due to very few collisions);\n  </li>\n  <li>\n   sketch graph to model the effect of temperature on enzyme activity;\n  </li>\n </ol>\n <p>\n  <em>\n   Graphs would need to be well annotated.\n  </em>\n </p>\n <p>\n  <em>\n   Must not be bell shaped.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   release of carbon dioxide;\n  </li>\n  <li>\n   combustion of fossil fuels produces carbon dioxide;\n  </li>\n  <li>\n   forest fires (caused by humans) produce carbon dioxide;\n  </li>\n  <li>\n   deforestation reduces carbon dioxide uptake by photosynthesis;\n  </li>\n  <li>\n   release of methane;\n  </li>\n  <li>\n   from cattle/sheep/ruminant digestive systems / other verified source of anthropogenic methane;\n  </li>\n  <li>\n   greenhouse effect / carbon dioxide/methane is a greenhouse gas;\n  </li>\n  <li>\n   carbon dioxide/methane allow short wave radiation in sunlight to pass through the atmosphere;\n  </li>\n  <li>\n   longer wave/infra-red radiation emitted by the warmed Earth’s surface;\n  </li>\n  <li>\n   carbon dioxide/methane absorbs/reflects back longer wave/infra-red radiation;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism",
+      "d4-3-1-anthropogenic-causes-of-climate-change",
+      "d4-3-climate-change"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the organelles and other structures in animal cells that are visible in electron micrographs.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how animal cells produce the ATP that they need.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [5]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   plasma membrane is thin layer forming outer boundary;\n  </li>\n  <li>\n   cytoplasm fills space between membrane and nucleus;\n  </li>\n  <li>\n   nucleus enclosed in nuclear membrane / nuclear membrane enclosing nucleus;\n  </li>\n  <li>\n   chromosomes inside the nucleus/ visible during mitosis/ as rods (of condensed DNA);\n  </li>\n  <li>\n   mitochondria with cristae/double membranes;\n  </li>\n  <li>\n   (80S) ribosomes seen as dots free in cytoplasm/attached to rough ER;\n  </li>\n  <li>\n   endoplasmic reticulum is a network interconnected tubes/ membranes /rough ER has ribosomes/ smooth ER does not;\n  </li>\n  <li>\n   Golgi apparatus with stack of sacs/cisternae/curved or folded membranes/vesicles budding off;\n  </li>\n  <li>\n   vesicles which are small membrane sacs;\n  </li>\n  <li>\n   lysosome which contains enzymes/which is densely staining;\n  </li>\n  <li>\n   any other organelle that would be visible correctly described;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow any point made on an annotated diagram.\n  </em>\n </p>\n <p>\n  <em>\n   Do not award any marks for just labels. Descriptions are needed.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   plasma membrane is thin layer forming outer boundary;\n  </li>\n  <li>\n   cytoplasm fills space between membrane and nucleus;\n  </li>\n  <li>\n   nucleus enclosed in nuclear membrane / nuclear membrane enclosing nucleus;\n  </li>\n  <li>\n   chromosomes inside the nucleus/ visible during mitosis/ as rods (of condensed DNA);\n  </li>\n  <li>\n   mitochondria with cristae/double membranes;\n  </li>\n  <li>\n   (80S) ribosomes seen as dots free in cytoplasm/attached to rough ER;\n  </li>\n  <li>\n   endoplasmic reticulum is a network interconnected tubes/ membranes /rough ER has ribosomes/ smooth ER does not;\n  </li>\n  <li>\n   Golgi apparatus with stack of sacs/cisternae/curved or folded membranes/vesicles budding off;\n  </li>\n  <li>\n   vesicles which are small membrane sacs;\n  </li>\n  <li>\n   lysosome which contains enzymes/which is densely staining;\n  </li>\n  <li>\n   any other organelle that would be visible correctly described;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow any point made on an annotated diagram.\n  </em>\n </p>\n <p>\n  <em>\n   Do not award any marks for just labels. Descriptions are needed.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   respiration/cell respiration;\n  </li>\n  <li>\n   energy released from glucose/lipids/organic compounds;\n  </li>\n  <li>\n   anaerobic respiration does not require oxygen;\n  </li>\n  <li>\n   lactate is produced in anaerobic respiration/word equation for anaerobic respiration;\n  </li>\n  <li>\n   oxygen used in aerobic respiration;\n  </li>\n  <li>\n   carbon dioxide and water produced in aerobic respiration/word equation for aerobic respiration;\n  </li>\n  <li>\n   mitochondria used for aerobic respiration;\n  </li>\n  <li>\n   larger yield of ATP from aerobic than anaerobic respiration;\n  </li>\n </ol>\n <p>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a2-2-10-cell-types-and-cell-structures-viewed-in-light-and-electron-micrographs",
+      "a2-2-cell-structure",
+      "c1-2-4-cell-respiration-as-a-system-for-producing-atp-within-the-cell-using-energy-released-from-carbon-compounds",
+      "c1-2-cell-respiration"
+    ]
+  },
+  {
+    "question_id": "SPM.1B.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw a plan diagram in the right-hand box with labels to show the distribution of tissues in this transverse section of a leaf.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the actual thickness of the leaf, from upper to lower surface along the line a–b, showing your working.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest a reason for using a lower power objective lens when first focusing on a slide under the microscope.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify\n   <strong>\n    one\n   </strong>\n   adaptation of the leaf for the absorption of light visible in this micrograph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   palisade mesophyll;\n  </li>\n  <li>\n   spongy mesophyll;\n  </li>\n  <li>\n   lower epidermis;\n  </li>\n  <li>\n   upper epidermis;\n  </li>\n  <li>\n   xylem/phloem/vascular bundle;\n  </li>\n </ol>\n <p>\n  <em>\n   1 mark for each correctly labelled tissue shown as a layer in proportion.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   palisade mesophyll;\n  </li>\n  <li>\n   spongy mesophyll;\n  </li>\n  <li>\n   lower epidermis;\n  </li>\n  <li>\n   upper epidermis;\n  </li>\n  <li>\n   xylem/phloem/vascular bundle;\n  </li>\n </ol>\n <p>\n  <em>\n   1 mark for each correctly labelled tissue shown as a layer in proportion.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   correct measurement of the line on the image (\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     +\n    </mo>\n   </math>\n   /\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     -\n    </mo>\n   </math>\n   1mm);\n  </li>\n  <li>\n   correct calculation and including units;\n  </li>\n </ol>\n <p>\n  <em>\n   Allow ECF – ruler measurements\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     +\n    </mo>\n   </math>\n   /\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     -\n    </mo>\n   </math>\n   1mm\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   it is easier to find the specimen using a low power objective lens\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   there is a larger field of view/depth of focus;\n  </li>\n  <li>\n   it is easier to locate the most interesting part of the specimen with a low power objective lens;\n  </li>\n  <li>\n   most microscopes are calibrated so that once in focus using the low power objective lens they will be close    to focus using the higher power, so this helps focusing;\n  </li>\n  <li>\n   reduced risk of cracking the slide;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   double layer of palisade cells;\n  </li>\n  <li>\n   palisade layer on upper surface;\n  </li>\n  <li>\n   dimensions of palisade cells maximize light absorption;\n  </li>\n  <li>\n   thin/transparent epidermis/cuticle;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "b-form-and-function"
+    ],
+    "subtopics": [
+      "a2-2-10-cell-types-and-cell-structures-viewed-in-light-and-electron-micrographs",
+      "a2-2-11-drawing-and-annotation-based-on-electron-micrographs",
+      "a2-2-2-microscopy-skills",
+      "a2-2-cell-structure",
+      "b3-1-7-adaptations-for-gas-exchange-in-leaves",
+      "b3-1-8-distribution-of-tissues-in-a-leaf",
+      "b3-1-gas-exchange"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.10",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of UV radiation as a mutagen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how the function of DNA is linked to its molecular structure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the use of gene knockout technology in research.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   affects/damages/causes change in oncogenes/errors in DNA repair;\n  </li>\n  <li>\n   UV radiation might alter complementary base pairing/break hydrogen bonds/fuse bases;\n  </li>\n  <li>\n   double helix may uncoil;\n  </li>\n  <li>\n   strands may separate/break;\n  </li>\n  <li>\n   DNA sequence may be altered/DNA bases may re-connect to different bases after separating;\n  </li>\n  <li>\n   DNA strand may break into pieces / fragments of DNA may be lost;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   affects/damages/causes change in oncogenes/errors in DNA repair;\n  </li>\n  <li>\n   UV radiation might alter complementary base pairing/break hydrogen bonds/fuse bases;\n  </li>\n  <li>\n   double helix may uncoil;\n  </li>\n  <li>\n   strands may separate/break;\n  </li>\n  <li>\n   DNA sequence may be altered/DNA bases may re-connect to different bases after separating;\n  </li>\n  <li>\n   DNA strand may break into pieces / fragments of DNA may be lost;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   DNA base sequence provides information;\n  </li>\n  <li>\n   gene expression / genes provides a template for the construction of a protein;\n  </li>\n  <li>\n   transcription occurs / mRNA is built using DNA as a template;\n  </li>\n  <li>\n   DNA nucleotide structure described/sugar and phosphate and base;\n  </li>\n  <li>\n   polymer of nucleotides makes a DNA strand;\n  </li>\n  <li>\n   DNA has two anti-parallel strands;\n  </li>\n  <li>\n   complementary base pairs/A pairs with T and C with G;\n  </li>\n  <li>\n   strands linked by hydrogen bonding between bases;\n  </li>\n  <li>\n   double helix shape / helix held by hydrogen bonds;\n  </li>\n </ol>\n <p>\n  <em>\n   Accept points in clearly labelled diagram\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   gene knockout technology is a genetic engineering technique/intentional alteration in the sequence of a  gene;\n  </li>\n  <li>\n   making a gene inactive;\n  </li>\n  <li>\n   using site specific nucleases / CRISPR;\n  </li>\n  <li>\n   researcher observes changes in phenotype of organism;\n  </li>\n  <li>\n   allows researcher to determine function of the gene;\n  </li>\n  <li>\n   entire library of knockout organisms exists;\n  </li>\n  <li>\n   made available to researchers;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-2-6-dna-as-a-double-helix-made-of-two-antiparallel-strands-of-nucleotides-with-two-strands-linked-by-hydrogen-bonding-between-complementary-base-pairs",
+      "a1-2-nucleic-acids",
+      "d1-3-4-causes-of-gene-mutation",
+      "d1-3-8-gene-knockout-as-a-technique-for-investigating-the-function-of-a-gene-by-changing-it-to-make-it-inoperative",
+      "d1-3-mutations-and-gene-editing"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the recombinant phenotypes amongst the offspring.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain whether these results fit the predicted Mendelian ratios for this cross.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  brown body vestigial wings\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  black body, normal wings\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  brown body vestigial wings\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  black body, normal wings\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   independent assortment predicts 1:1:1:1\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   this (mendelian) ratio not seen / recombinants less frequent/parental types more frequent;\n  </li>\n  <li>\n   suggests linkage\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   small numbers so could be a result of differential survival;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d3-2-17-punnett-grids-for-predicting-genotypic-and-phenotypic-ratios-in-dihybrid-crosses-involving-pairs-of-unlinked-autosomal-genes",
+      "d3-2-20-recombinants-in-crosses-involving-two-linked-or-unlinked-genes",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how vaccination can result in specific immunity to a viral disease.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of membrane proteins in the movement of specific ions at specific times in the transmission of nerve impulses.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the barriers that exist to hybridization between species.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   vaccinations are specific to a specific disease;\n  </li>\n  <li>\n   vaccines contain non-self antigens/antigens from pathogens;\n  </li>\n  <li>\n   can be live relative/attenuated version of the virus;\n  </li>\n  <li>\n   trigger a primary immune response (without causing the disease);\n  </li>\n  <li>\n   lymphocytes with specific receptors (are activated and) produce memory cells;\n  </li>\n  <li>\n   (memory cells) cause a faster production of antibodies on a second exposure/exposure to the disease;\n  </li>\n  <li>\n   (memory cells) provide long term immunity;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   (during depolarization) Na\n   <sup>\n    +\n   </sup>\n   channels open;\n  </li>\n  <li>\n   allowing Na\n   <sup>\n    +\n   </sup>\n   to flow into the axon;\n  </li>\n  <li>\n   (during repolarization) K\n   <sup>\n    +\n   </sup>\n   channels open;\n  </li>\n  <li>\n   allowing K\n   <sup>\n    +\n   </sup>\n   to flow out of the axon;\n  </li>\n  <li>\n   the Na\n   <sup>\n    +\n   </sup>\n   /K\n   <sup>\n    +\n   </sup>\n   pump returns the (axon) membrane to the resting potential;\n  </li>\n  <li>\n   by moving 3Na\n   <sup>\n    +\n   </sup>\n   out and 2K\n   <sup>\n    +\n   </sup>\n   in;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   courtship behaviour is often complex and unique to a species;\n  </li>\n  <li>\n   (at several stages in courtship ritual) rejection occurs if characteristic behaviour not exhibited;\n  </li>\n  <li>\n   species-specific egg fertilization;\n  </li>\n  <li>\n   compatibility of acrosome with vitelline layer;\n  </li>\n  <li>\n   inability of successfully attached wrong species sperm to develop continuity with egg membrane;\n  </li>\n  <li>\n   sterility of interspecific hybrids;\n  </li>\n  <li>\n   due to differences in chromosome number;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence"
+    ],
+    "subtopics": [
+      "a4-1-10-barriers-to-hybridization-and-sterility-of-interspecific-hybrids-as-mechanisms-for-of-preventing-the-mixing-of-alleles-between-species",
+      "a4-1-evolution-and-speciation",
+      "c2-2-3-nerve-impulses-as-action-potentials-that-are-propagated-along-nerve-fibres",
+      "c2-2-neural-signalling"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how toxins such as DDT might concentrate in the bodies of birds.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Toxins often act as inhibitors. Compare and contrast competitive and non-competitive enzyme inhibition.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Rotenone is a naturally occurring toxin that blocks the electron transport chain in insects and fish. Outline the consequences of exposure to a toxin like rotenone for cell respiration.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   some toxins/DDT are persistent/degrade slowly (once released into the environment);\n  </li>\n  <li>\n   (some toxins/DDT) enter the food chain through producers/lower trophic levels;\n  </li>\n  <li>\n   (some toxins/DDT) are passed on to higher trophic levels in the food chain;\n  </li>\n  <li>\n   (they are) difficult to excrete / are not excreted;\n  </li>\n  <li>\n   (they) accumulate in fatty tissues of animals;\n  </li>\n  <li>\n   higher trophic levels/top consumers have higher/the highest concentration of pesticides in their bodies;\n  </li>\n  <li>\n   they bioaccumulate/biomagnify;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   some toxins/DDT are persistent/degrade slowly (once released into the environment);\n  </li>\n  <li>\n   (some toxins/DDT) enter the food chain through producers/lower trophic levels;\n  </li>\n  <li>\n   (some toxins/DDT) are passed on to higher trophic levels in the food chain;\n  </li>\n  <li>\n   (they are) difficult to excrete / are not excreted;\n  </li>\n  <li>\n   (they) accumulate in fatty tissues of animals;\n  </li>\n  <li>\n   higher trophic levels/top consumers have higher/the highest concentration of pesticides in their bodies;\n  </li>\n  <li>\n   they bioaccumulate/biomagnify;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <img 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edhQPBkyAz1jDCUrryMw+hMSiUTmb+w6rk8k+EbQ/EnN4nDYDZd4qt+Kjsg9Q92sDipC+sxw/dcYEld/iUDcGLI2WJSgLhDNyKDL8yPi18dzb/oslyMMns2Aa9yZFk/LOVZA8xuCi0c17TqKNCvxTEn7Jq7OpfA2wAIyxgpOIW+mndEREcifgGwAc6U07ItwNMRVc0bUragVn33WiiJz/hyfpuIQydfGQ5lIXj79VZvG6BdnEQ6Hzb+zQ//Bj07TIrQkJi5fxvWZFDRrZE6Iq38+wHhotz4FhNlhx9W65jw0y+pn4cByZ8ywD5lhTqMIjY+yGA93D/Sh5NXs2up2QoxgGA+yrCRh3y0P53youKi1H3f0RYslqA3EjLnVgkVdAKNWO5+4hbH4DUys8FIAZzsooqIcrGSLHJmCR1lFVFOy3SIYIIaNnXguS2lW40L2ldcPfaxKQLaDj+AICgNj6YBm8UtIXvkz6l0qPM1hfUWxYVjlaNAS5iPvocLcsNU6IVhEfaQ5G3oZIuImnra486ZYnDM2KsO3r3HpkTgRZjccU1NUbRJ9+yoycxTFE7O5P6AoS+TNO7h1fytbBI7nrJ8rQd37XWj1FqGicxjzIrKgbzshD/OI4WPLU68ppDVPBaaBtEVFxcXCaIrohPRkzy8zDJ6oD1lHniYHT2OelJxmdS5ragNmdNUQ2C6v0JU+icDaCMgG0Dm1aNtyX9TwMHYM1UoxysrYrgSij4lRDfGd56rNItK5TZ/rpg8n59VfnSQS8ggbxK5hC99Oo9HF7Yhw3KSIoDY/jM4KF1/xvGRZ9GZ5qLbNb+bl6/ZLRDyF82axPboIUxho22JG4sTwrX16jmzXVrMT4kHWuocrH72wPJybIxp1v0dP6xYoFe8hMs8nbIvhXWnY1Rg+VlfYS1XmnI/tFIEKqa0IJ07Uh+0eIdLk4Km+juDNRXOOoTmyo4+W5eZC9tWp79A5JwKyHXwER5DtVHAJ/upiKMpm1Hd8iv7ICKIjg+g91qovn1er3kW/mDgtJlN730TguxtIJMYR6+/WVwOrVUcwfHeJhdGMDVr1YRQuvujUYs6Gflp62hLpFBWexh4MxscxEb+AHrbRtacJwThbDAEYE4gVuOqO4uvYfzER/xahg7+A27pSNxFGA9sbzBfEpeh1zKRlw8UXYhT7ELz0A+IzizwCZ+2gLGTJdWFDEuaqPqETX7Ti2gn/11cwMXENw6FD2OFeaUVbtoE0Or5YoMLzFnOAxPCyuEFYmeqTzNlQkxgikXQUaaw8Y1+hi62udjUg8G/GU0qDPLjk1Qb4flwryit0pU8isDYCsgF0Ts3btvkWIctVYsEZ69eij0FspaXC2/wXfHfzFhITV9DftUtfwVvVeRF3NTGKsUp/tRRlPTQXP/hCuDIxiQnRHz0+hPXFI2KhQDmaA8O4mUhkrjE39Xd6qBYPyGLuGitV2BoxqiDSKVA8b6Bn8JpuswZ73tB3OWgMxowtvASbFe3aanZCLFwpgy84hGh8Bumsh3Mmo0UmMffaBCYWrXhQ5+9DbGIc8eFTOLjDm9kdwrzWeiDZNGEHV7RF4iGALy4R2fG5hcbQr+Ap7hEijZWnaC8e1AeuImXWgUiTBxeyr4I+fa5CQLaDj+QI6k+liW/R07RV37uOZW78sf2nPkV0OrMy17i2H52sM5rXFaG86TiGubMonigzq3Wz5+fp+klPW2Zo/kgQJ5szshh7D4q99FjKRSQG3ze2lBEyyPtgLXyPLt255YY+ed14NZt4ssM8Rrte4foyRyrBh7OlaIBwjBQvGkM3MiuDdQXYfmAX4GdbSwg5FC92HDyLuNhzKqsixXCtKIcZBrY3oNWAZxxQMbfJ3N/KXAHNMuZGVOVzC8WQFdfRSONF06k+nLLx/BUCIz8bukhpkBcXpvcqbUDsx7WSvFls6AQRyI8A62+r/hP2xfbwKVIt8a1kFMtbhdhvi0gMvIcdYn9U1q/VrWjq+Zav4M2vv4pSsj8Xkeh/F1WW13iqlfsREvufsgTpnzDQ+aqxRyi3K2r5XvQM830MHR+qpblresHSqILo61s7cOqkL/MqUbH3oBi8YVHKVe3aavZTw8JoN6q5nsyRSupzD8XohSAjHKMc+9imb2HQ/xo8pn112lNW5MU/hZ42O2jdPYJdJ9vOcYQbPbYdJNhVxmIWMbdQst3MYW70QG0K4h+nJJ6Bf2JaX+UspWHbj63KheyrVKP0NQcB2Q46WkX5ohx5WU6nkZyI8dVZfM6K5VfbYXoeE7F/IRr9F2I/ztrfGGKugLPs3y+9pNvIK43kzG3cnmPPTSLMzkPzIv/RG5iRd8vXE7Nd5n9CTF8xHMOEw5tFtNQ0ro9+j9Gxu0jDWhbXREth5vplREd/xFya5ef04nn+IvAV5qNAyMpYTMxLzqKNmjEUZCsnV7lM3p/5fEd2cxCrCi1MmcFmec0keZmSjnqaO8abW4SMWTylNEzcvLgwmdbYBrLkldnQdyKQH4H8bJtD27Zm72iT2AV22/LjXWafxL88+6u43PFzGamZGxhltiurP4oEFlsc+y/u2mygk17cTpm2gOUjyWob0hb5r2Dnrf3bya6taieEnpcxNvcwhw1j5mYOtxO3M7ZOIDA/haxRRGM/rfImKpZI4lOI7RRlW22ozFMvR9hoIaPMU6oDPd/8uJB9FZVAn7kIyHZwnRzBXMU9ifMizG6ZSPwkiqUyiAAR2HAEZAO44RR4CgIbU1CsuwE8BSGoSCJABNaNgGwHnwNHkE8kdhzGWTdulBERIALPAQHZAD4HKj1mFcQCCmkKymMulbInAkTg8RGQ7eDGdwT5dgtnh8b4O4cfHzzKmQgQgY1NQDaAG1ubJyF9GjOjXyJ89iLG+DuHn0SpVAYRIAKPj4BsBze+I/j4WFHORIAIPGcEZAP4nKlH6hABIkAEViUg20FyBFdFRhcQASLwvBCQDeDzohfpQQSIABHIl4BsB8kRzJccXUcEiMCGJyAbwA2vEClABIgAEVgjAdkO5nQE2YX0RwyoDVAboDZAbYDaALUBagPPVxuw+o45HUHrRXRMBIgAESACRIAIEAEisPEJMKfe+s/+jf8iX2RNQMdEgAgQASJABIgAESACG5OA7OOtkyModtT/J4YGLiASlXdJ57By7si/NpjGjvL8zRdw2hl/bfmZV68q3zqWZRZKB0SACBABIkAEiAAReDIE1t8R1O4hdvq3qLG+Y1N/z+YWNHb9g79n01BuOR7ANuVRd6gX78HkbxJZGkVXqQrxbt1HwSjLp6XGcTHgR/Dyfa7ANQS2FUGpDWIs8+6oRymS0hIBIkAEiAARIAJE4IkRWGdHULyAvRiVvg/RO/RP/X3DI0P/ix5fNVSlGNVd32NBV0/DQvQ4djfsRzDGHauC1L6HaM9baHjzJGIPNGj6C8ld2NpzBUsF5ScSyfLNI+qvhqK+hd5pnvNCFD27G/Fm8CoeiGT0SQSIABEgAkSACBCBDUJgnR3Bn9Hn2wzF5UPvVNqO4OEV9FQXQSk+hKH7eYTP0gtI2l6Qzt4Bfh9zSSlfWynLmB84gCKlDK0DM7Zf9BeI37mH1TfD15BOLSKrFO0/CNYWQ9nag9iqHiYbGr+3ykvN2bDy7CrXSCrQVyJABIgAESACRIAIrCOBx+MIqo0I3kxJYs5hNPQBek4OGq8m0n5C36E9aDjYh4QGaNMD6GzchbdPXcDFYy2oYkPL6lY0By8j+XASw+Kc4kVNWxhx7tFpiT4canwDB/tuQcMCYj21UBQ+TAxAS15Dr3+vkZ8+RF2OuvbPEEtmvDmj7Dfxx/ODOHvwF3ArRdjy3l/xGZfv1ngvDjTUoExVoLgrUdf4PobuppDoO4zGhk70JYTbuIhE5ATeqSuHmqMsYBGJwT+hucrDt+Pxoqb1E0QSi5zXMpLRj9DcIHSSMNJXIkAEiAARIAJEgAisE4F1dgSXMD/yPqqZw+T5JTpODSI+99BZ1PkBtBYpKG4fwn1ouD90CMWKihK3FxWNv8eJMyfhbyiFopTj1bpqVDT8Dz4OncbHrduhKpvh6/sZgIgAVqB9aBbAJHqbvFA2+xFd1ICH1xHaVQrFXYvWnr8iHD6D0IctqFRVePae0x1QmGUXo6ysFGV1b6Pj3QPwn/kE+3X5BjEdOwu/rwYuxYWyht/C/8EAJpZnMNBaZolwpjAe9sGjFKG88T2c6v8HBs740eBxwbMrhJsPWRRUw8JoN6pVN3a0n0T/8CDOB99FvUeFWhtAXL/mPka7tkNRhE7O+OgsESACRIAIEAEiQAQelcA6O4JMHBbx6kZjeZER8XLvQEv3WUQTC7AOCC+NdqFUKUF96EdoEAs+ilHt/xazaXZlGolwExTFhfK28+Yik3TUD7fiRVPvJADhNO1CaOIhcH8I7cUKXL4+zFqcxH19k5ayJxBucENx+xHVA3mibHs5dvkeYiK0C4qyHV2jfD4jX5Si1IcwwSKak2HscqnwtvRiUpefsVjCbN9+FCm16ImxmZFCJy6vXnuifBHFZMPKd5BIiFXQj1rFlJ4IEAEiQASIABEgAs4EHoMjaBSkpW4hGj6aGQL1vIajwz9zh0x2rJzmFt5DpGMrFKUOgbgYZhbpuGOl/YhQfQmU0i6MLgHGKt8ibAtcw7LQN53E9FhMX7QSjQ5j4NyH8JW7oGwLIK5fJMrei/CkiF6KcoTjN4uh9goorl+jb9YYUtYmQqhXVJR2jWIJSYx21ehRPF/wH7ysqP55KehDseJGQ3jCiAhGj6JCUaCW74Y//B3Gk2loiymwACb9IwJEgAgQASJABIjAkySwfo5grj330rOI//0wdrgUKN7fYWieeV/csSo6gAH2fTGCjhLFvuWL4+IMPhwr0vEIYFHrAOb16Nuv4TKHVBeRGD6OJhGZ1F+RV4Syyi1wK2JImgUwR+DfrMLV3Isp0xmT5FuWt4kRQ9l8UYqQVS/D6bUzlmFebR43+/6YiZh6fonO3mtImmU/yeqnsogAESACRIAIEIEXmcC6OYLGUKqIkMlIRXSvEv5oEpAcK8ctX2xzCHl+S1fQs9Vl7ttn3+ePDxPz7V20xDnsZfPzGrpwPhrHxO05pDThwImhZfDtZqS9DCX5MNsHn0tBSUcExpIOaTg3HYXfrUCpC2A0kUDC/LuFsfgNTOjDvEtIzU0hMZPUVyRrqQQuf/kRfJXFUJStaB+6I0Oj70SACBABIkAEiAAReKwE1s0RxHQvmlQFrl1hTMrRrfQNhBq9UNTdCI0/gLjWcKzkBR+GvvY5epyBXoaKzf4RLGIJ071vQVW2oiNyDxBROX17FzY3zxod5Om1KQy0bbEMN4uyq+GPzmdAc10M+TQsRjpRYs5LZJfxRSklnYiwMV0xRL3pMCILGeW1qfPY51VhRCx5Gmn7HMMJVuD2R7O3rMlIREdEgAgQASJABIgAEVh3AuvnCJpOFttM+gOEB4azNpOu6ryIu5rsWEkLPnQV5Tl67KRIJ1YM8yij2OCZRxANpwtYivVgK1to0noGVycSSIz9gL6uXfDow7dNCOtbvvDtZixz/zLliKihWOBRBl9wCNH4DNJiKLupF9Nc3snwXrgUD+r8fYhNjCM+fAoHd3ihePYidJMtFFnEzeDrUJVSNHR9hRiTKfEfDB97Ax4RERRb6uw+jqjFoVz3WqcMiQARIAJEgAgQASIA6At7rSAe6V3Dxp59u1HOto+xzpdzb4fv2Ld85e8ixoKvZaJyIprGF3wYwkhz9PSTYjiWLx4REUC+6MNw/CxDvNodjHS/zh0/Jg/bf/DPCLxTCUXhq3a1cYQbPZaFI6wgST5zyxdDJ7bdTVJ/e4m8KOUWBv2vWcpT4d7xO5yN38usWE7/hIHOV/U5iiYfsVciCyRyZzazkMVaNXRMBIgAESACRIAIEIH1JbB+EUFTrmWk7v4XsaixajY6eh0J29tA+PYo+pw9liiN5Mxt3J5LZRwmsLduZObTGVmvki6dxExiCnO2t5E8xO5xY3wAACAASURBVNzYZUSj/0JsYp7PzZvDbXNrFqey5XJY6ctIzdzAaPQyxti+iI5lcV0m+Arl2E853hoi8mJ8YvjxrkVvfcFNQmJhaE//EwEiQASIABEgAkRgvQk8BkdwvUWk/IgAESACRIAIEAEiQAQeBwFyBB8HVcqTCBABIkAEiAARIAIbgAA5ghugkkhEIkAEiAARIAJEgAg8DgLkCD4OqpQnESACRIAIEAEiQAQ2AIG8HUF2If0RA2oD1AaoDVAboDZAbYDawPPVBqz+6iNtH2PNiI6JABEgAkSACBABIkAEnm0CzKm3/rN/47/IF1kT0DERIAJEgAgQASJABIjAxiQg+3jkCG7MeiSpiQARIAJEgAgQASKwZgLkCK4ZGSUgAkSACBABIkAEiMDzQYAcweejHkmL55rADAZay6RXIT5FhfVXIUqvWHyK4lDRj4GAtoDEpX5cSjw0Ml++hsC2Ioh3ua9eIn8laNEBDMwv65drqVu49MV3SLDXadI/IkAEnhkC5Ag+M1VBghCBXATIEcxFhs4/DgIaFiKHsUnh73VnRWiTGDp+FEfDMSzkVeRDJIb+Av/Rs4gtMM9vDpGOymfnYSYvHegiIvBiECBH8MWoZ9JyQxMgR3BDV9+GE34Z8wMHUGR1BB9Zh2esDT+yPpQBEXh+CJAj+PzUJWmyYQloSCciCHa0oKFmC8prGuDrOIFvxuZhjKI53ES1+5i4eBIdvgbUlG9BTcPb8Id/wHSapZCjMQzMEu5GT8HvP46+sUxMR0sM4bh0zo5xCcn4F+huewM1ldtQ3/I+ei/9DfuL7EPDWmocF4OH4WuoQXl5DRpa/oDw6BTSLDOnaJJ2B9GTf4S/+0uMPRRjhVxudu7BLQwdfx/HB2O41vs+WuqrUFa5E76OTxFJLNpFzPq2iOnRs/C3OLFhF/Nyjl9A/Nrn8LfsRGVZFep9hxGMTBoyQ8NC7CyO+v3wO/0dH8T4jS/R7e9GODZvl2AhhvDRPyAQmcKyzjeAgavf45x/H+qrqlCz5xACrJz0JCKBQ9hTU4Wqeh86w1eRFChYjukpjIb/gBYnpvYSLd80pKd/wNnuA2h6vQZlnkrUNbagIxhBQm8b/FI29BsN2xmdu4K76WVd786mKqjKZtS1HjaigNY6fBBH7x/86O67CT5wbGQq6vRkFHc1axu8h1j4PTRVFkPx1KH1SDfCP/wLfd1+hwjjPGLhbvgDEcyIPPx/wZAYorZoSodEgAisDwFyBNeHI+VCBAonsPA9uqq9qGr7FIMjUURHLuBU23aonn3o1W+AsiOYRDzYBI9aDd/Hf0ckOoLI+T+hqbwYnuYwxtMaHox2Y4tSg67RJJfrDobat0JRSvBK8DqMWVsPMB7aDXXTYUT04TtZBQ2p+Ek0ekq4bKycLjSUeeBWLY5gKoZgYynUyn34uG8Y0egwzn+4F+VqGZrDY0gjidGuGihbujH6gHs684No96pQ1NcRvMkdO20MoZ0ebOoYxoI+J60Y7rItqPF9iN6hS4j0fQRfZTHUbcdwVeQji4xFJPrfRZVrK5o+/MJgo6fzourgV9wZ4vPX3KUor9mHnt5BjET+jo991VDVV9Fz9T7zXvFw4hLOhsMIm39/w8et26EqpWgMXEZy4Tv4K4oMeU05ljA78A686m6Exh9gOR7ANqUYbs92o65E3arbsWdPPRr9ZzH03SDO+RvhUbagbWDKcP7TP6H/4Mtwle/Fh+cNpn0f70Ol62Uc7P+JO6tmoeaBdvciOqtK4GnowvnIiF4X/SfaUKUWo7rrez6sm8J42Ce1ny40eEpQ7b+EO+MRhDrq4VJegq/nNM5GJvDQNkfQGOZVawOIm048oE31otm1Cc29t6DBOkfwPiYiIXTUeaCU+9Bz5nNEJm4j6t8ORWp72mw/2rwe7AyNZfJY18ikiYoOiAAR4ATIEaSmQASeMgHDWbA6bYB2N4qTRz9G303mlNgdQW36PFrYTdu8sTMFljA/8j6q1XK09CWgPfgBXVs8qA3EjKjNwjA6Nm1CZeVmuJp7McX8Me0Weps3w9s+CCmmZRDREuhrKYf9hs8dHUU4gmlM97XCo76CrlFLLtosRvy1UD2t6JtOG46p+ksE4iwayeegebaisrSUOw7CkdiK9qE7AHc81OpujJpOahpTvT64VnAMDEfCcGjmzeiahoXRblSrleiIzAHCSZFkNhwZoZfcKFjU9iscrLI6lAuIB34J1fsOBmaXOLMpDLRtgWtXGJMaTEfQWlfaeAg7VRXetn7MChn1+inClq4f8ADCmayFf2SWR4VZ9vMY7XplBcc9jekBPxp2vI3T4w8yCuj1vCkzP4+XVdE5jAwjQxdXxe8xPJ/OHhq2OYIaFqJHUWF70OAPFSYLqyPIHjvsbVh3tOMB1KoW51fo7dqL8KQt1pjRhY6IABFYdwLkCK47UsqQCKyNgOG8uOCuaUVP+AJGf5xFSjgIelbWm+gK87d0509EqHjUZmcI4xqPELrexCcn3kaR93cYml+GUe7WTBRKFlt3GIqxLXCNRxD5BbbzVtmsGYioJHe+9DQi0mNECF3NPTixv5w7otz5EY6EzfEQ+a6gu36JWOSwBa2915BIJDJ/N86h1SscLdlJ4fmvsBpaS15GoLEMnsZPcDXJnT4WNZScGcNJrzCccQhHsAytAzNCCcCpHJu+fGGF9zfovTGZ0SExiRu9v4HX5oBlss0+SiM5M4H4aB+66j3cEZTqJTsRk3oVRxDAg8vo2ebmjivz7Y1obsa5lRk7tJOHMQRq3RmHWH/wqICn5Tymbe3fUUg6SQSIwDoRIEdwnUBSNkSgcAJ8Hl5rPcpU9v5KFe6qJsu8LutNlN9g+dCjrUybM8GdIpcPvVP3cTP4OlzMKfyZDd8x52wW80O/g1c4XraMjC9G5MohQqaX4zYcRF6mqjuc9kyMSKdwggznRo9GLl1H8JVS7AzF8TOL8OnDgzMYan8p4xTYdBH5Ojgo4if9U/ye+x2gxvYnspPCM3Fy0NhP6XH0tlRArerE4LQ+6zFTqs0B4hFLC1M7gxXKsenL6zvn+90F04wY5pE2j7FvAmhvqIJbT1+Esh2vo+6lYu4ICkaWFcFmYnHgcI1NPnYdj4bqdbfMHWIRcWW/y4ytbViUY48iGhFZa4RQXEefRIAIPE4C5Ag+TrqUNxFYEwEN6WQC8cjfETyyG+VqMbb1XMYD27Caw01alCHdrM2IX38U55orjGHiZeaEebCl62tc6KjMDBOLPKyfuRwjPfJYwiOFTjd4IxO7E5SJ+PVfO4vmImOYePlmEK+oNej69jw6Nm02h4nF0LB937oVdNeLFL//Aj0xNqSe65/spPDrnPTVZjDcWQPVsxehm5lFNpmcufPHHO6f45k5jvwCO4MVyrHVHWdafQwxyxy8TJm5jh4i0bsPHqUUDV1fIBqfwEySOa7WOhJRU/tUBD3HdBJ35lLQ8okIsiCgPsTNnL9b+hC5yzZ3U2ZslSEjf2Ze4dgq81UzaeiICBCB9SVAjuD68qTciMAaCbDVvH9F5296MCTmmbEcuGNgzOez3kTFcKQXu8LjlvljbHFuGLtcbj7Rnt2p2Xy1rdj0q1/jTe8OvnDEGJZVf/EG9lRk5uc5Cq1Hu9zmfDfjGlG+iBTyyFDWvK6HmAzvhcsSuRSO6a9ad8MrFo7oTqUXv2hqQIUeveQRN5tjJKQTjl7uaJbhnJRk5kbypNrsRXT/pgMfDIxjOStaxS+SHUHtHq4G9sCjynP1hDzGp6HXZuw58jvUq9vhj94zLyjMEeSRMnNOpchuCbNDPfhNx0cYmHBaOc3biWArkulDsCXmHEHD+bK0E/06MS+RLXJJrT40zNLwOaabDvjx+22bJOb5OYJGG90C154OvFfvRYX/uzz3KRTK0ScRIAKPSoAcwUclSOmJwCMS0BLnsNfjRk3nVxhjERwtheloAI0eN7+5Wh1BdgO+jcFDL0P1vIFjkVtIaWkkxy/iGFu5axu+FIsrFCh8XqC5UIMNG1odL0cdlnB3+AiqXNvRdmYU06k0UtPfIdBYCsVcLAJo0xdwiK1UbTyOSGIBWnoe48PHjdXGhy5k5nuJRQuKalmgwufDKYo9OlmgIwgzgvcGjg3/F8n0ElIzV3CunfESUT3ZSeHK2xxBvvpY9WJHxxkMR6OI2v6uY0Zsx8Id7hJ3CexRsULnCLLFQnz1b+NxDI/PI62lMBP7v2hnnHeFcNMxUshXZ6t16BqZQRoswvxfDB97Ax5W39sCiLN1G4KR91cIjv5stJ+bX+BgVQm8+85jSswpVSrgC/4D0fgM0o71wZ3HEjfcLmOVdKYZyYy5bN4WBIf/hfiMcGSteYgV2yIXvgUNbR8jgNAnEXgsBMgRfCxYKVMisBYCi0gM/xm+Kg9Yh9T/3NvhO/Yt3+5EcgTZvTz1Iwa63kC5PqeQpfGgyvdnDEt77BnRH7uTJc45zevLlnoRicFuNJYXGXKpW9H8yQkcqeZzBPUEy0iND6CrcQtUR/lFrsIxFVuMsPPinBShcnQ8Vo8I6iWlJzF8rAVVbpXzVOGu+S1Ox+7xCKrspHD5bI4gZy70kT8tr07TnWt9FW12JLKwiCCTh61S/hbHfNv5XD9Wx17UtP0NMXOxCpfb8sEWtQSbt0r10I/vTr0JlzVqm76FQVv78WLHwbOIi7xT13CK56O3kyXnV8wZ0VBVihozgWTGbCuiU2jW25FU1/o2PC5pdboljxVWiVtUp0MiQAQKJECOYIHgKBkRWHcCWgpzt9lK1ynMpYyd/lYug0V87uirSm/rc7tWvvqRfk0nMZO4zeec5cqJrVK9vQb5c+WzPue11Bxus5XDM8mc++6tU0l8exw5KrYeuS8jNTeFxKrsrWXlWw+rtR+WT75t0Vr+CsesHd2es6+K59MDjL0DpbQsirzXp+/JKP1CX4kAEVgnAuQIrhNIyoYIEIEXlED6Fvpat8Kz9xwStO3JGhvBA0z1HYDX3DzdmjyNu6MB7H3zdI6hcOu1dEwEiEChBMgRLJQcpSMCRODFJsCiVS01qCwrguJpQjAu3uLyYmPJT3s2JaANVZWlxptagjGkshJqSN+ZxO28ouNZiekEESACeRIgRzBPUHQZESACRMBOYBGJ6HmEw1/govleaPsV9C0XATYHMorPw2fRe/Gm/R3LuZLQeSJABB4LgbwdQXYh/REDagPUBqgNUBugNkBtgNrA89UGrB6mYv0ijlmF0z8iQASIABEgAkSACBCB54uA7OM5enzyRc8XAtKGCBABIkAEiAARIAIvJgHZxyNH8MVsB6Q1ESACRIAIEAEi8AISIEfwBax0UnljEWD74SXGruP6xM957i+4sfQjaZ9HAmz/wwTG4jcwIe8b+Eyru1HlfqahknDPOIEXxBGUd7nPs1a0BSQu9eNS4mGeCZ7EZctIJb7DF5cStvfMPlrJ2Xy01C1c+uI7c180xzck5FOo/raGHJNq1TLseOsIwuYbH/LJ0OEax7dQOFyXx6mC9cwj70IuMV7fVswXauV+x24heeeT5lnjsW4y294ikk+uhV8j9yXHnGRbs45t2rG8x3oyjenBTlSJt96IV9s91jLXI/ONKvd66P6088jzrUGPRcynWfZjUWjNmb4gjiB/Z+XRs4gt5Lvjq4aFyGFsetZeb7QwjI5NxdgWuIZ83j2RX4uQ+fD3v1oMeMEOAXcEXQ09+IftXa0jiPR/io76zVDMd8DmJ23WVet409QSQzju70Y4Np9VzJM/8QDjod1QXXsQvPITEk8hsvJs8civBvKS+Yk5gtl9KVsLB1uzjm06u7zHfEYbQ2inG67GIK4kEnjsb71ZL3U2qtzrpf9TzedpOmNPs+ynCt0s/AVxBE1913DwjDaOJ3IDy3637aM6gkWtA8h2rTQ8jAdQq7qwpesHPFhD7dgu3cg3TZsi8pfsSK18BX0vkMAT6UdMtuy+lC2xg63ZyG16o8q+UeXOblAb8IxDH3hiWjzNsp+YkisW9II4glLES5vE0PH3cXwwhmu976OlvgpllTvh6/gUkcSi/sL3hdhZdDZVQVU2o671MI6GY1jQUS5ievQs/C0NqCnfgpqGt+EP/4DptIg08rKOf4mRr99HY00tGtpOIHp3CUhPYfRsN9qaXkNN2WZU1u2ylCnqiQ39RhH2v42Gmi0or2lAi/8crt59CCzEEO5sQqWqwlO3H0ecIpy6bkct8jJ17iB68o/wd3+JsYeSnPq5B0gM/QV+Pb97iIXfQ1NlMRRPHVqPGNEx4QjuP3MBvf59qK+sQGW9Dx3BCBKm7kIHyyePCDo7goA21Ytml4pNHcOcryWtebgCE3aNMOD7/4ZLjvUpMmJ193/R3daM12vK4al8FY2+wwhGJs130dqjSaIuLyB+7XP4W3aisqwK9VIaYBGJyKfo8Ik20YKOExcwllwSBTt+aqlxXAwehq+hBuXlNWho+QPCo1OGLHo9vofWus1Q1Co0vXvEXqe2HPPVK4CBq9/jHKu/qirU7DmEANM9PYlI4BD21FShqt6HzvBVc4PfwngAK+pmk1368qh9hDX3rKjuEpLxL9Dd9gZqKrehvuV99F76G/YXFVki64XUoYb09A84230ATa/XoMxTibrGFkufmHfsS3aNNTjamrzbtCGD3V6cxeg0s2Mr/GN1bm17vsM48c0Ns951W3P0KI4PTVqmoBiyHvX/BUP6dBnRPzK27rWqzaj4lQ91HhVqZRPeNaPrq7dRXVo2RB4N2+3ruSu4a9qYAvXFMlITFxHsaLHY1Qwnvc0c2e8gtxPDfO8BK9kN1ja64ff7Hf4Y9+u40Xec22Rhs5ksog6CiMz8P8NuH/8aV6+c0+1TVWUt9rSfQCSRQjoxjED7HqPN++QpOIVwFPVdSHkr8wdyOGPMHoT/gBYnGymqZsU2wzkfHzKnOenJ2L3UbN9OZefBh99r/XLeQq4N9PmCOIJSZEU3ssVwl21Bje9D9A5dQqTvI/gqi6FuO4arDzQ8nIgg1FEPl/ISfD2ncTYygYfsht//LqpcW9H04ReIREd4Oi+qDn7FHSJeVokbnooGvHPk9zh49Csklmcw3FkD1bMLXeeHEWVp+z9Ba1Ux1OpujOpD1hrS42E0e0pQ6fsIfZERRCOfo6uhFGr1+xi58yMioQ7UuVwo9/0JZ85ewoTp2IlWl8RoVw2ULd0YfcANyPwg2r0qFPV1BG/yG4Q+DOLhDpiVz31MRELoqPNAKfeh58zniEykYDiCLrg9NfD1/C+GRobR9/E+VKrF2NZzOXc0byVHULuPm6ffgkfZgraBKcsNR+jCPldhMr9kOoKqezNezlGfwBLuDh9BlVqKhq7PEWHD1JGvcKJ1O1T1FXSNGvFK4fC2DswA4FzcpSiv2Yee3kGMRP6Oj33VUNVX0XP1vmGYR7tR7dqOtlMXMBKNYmTwU7RVlaz87tlUDMHGUqiV+/BxH2sPwzj/4V6Uq2VoDo8hrc0i9uVn6PG9BMVVj46/nuFt0MqGHa9Fr2K4Pdvh+/jviIxcwKk2pvt27NlTj0b/WQx9N4hz/kZbfaydB8O2im6yCuK7tg59ZH6Jt9UyGHWoIRU/iUZPCaraPsXgyAgi57vQUOaBWxWOoIaFAupQu3sRnayeG7pwnvXV6DD6T7ShSi1Gddf3WEDKsS8JdY3PHLaGO4Irt2n2do6vcLDKg/KmPxky8PbpqnoX/fpDrb0049s8RrtegavqAE4N/hPR6D8xeOoAqtQy7O2dMPqhY8RUvmFm27r2fb9Dz2d/gq/cBVddB/4aZvYjmVffY/1tPOyDR6022iizkayuPCWo9l/CvFaovpk2kLGrX+DDpq1QPT6Ex1PQ5mL48owsd/ZL7/SHvnzvASvaDdY2Pkc4HM78nTmu3w8Uzx4Ert7FQvQoKpRKdETmMpWoTWGgbQvUnSGMaxb+VYYdMWxPMdSXd2FP7R74zw3iu6Gz8DeUQvG+g4FZ9nBaKMfCyxN9MBd/R0cw/RP6D74MV/lefKjfM/k9x/UyDvb/xB/eV2szOSLytvYtt+s8+fA+qlimUGUqamMdvcCOYJHFAWOVxt596YPLnBMoNw5Am+1Hm1cYJVHR/Caiig7LO4uyHf7oPXERtOkBdDbUYe/pMYvDI5fJ5xNVvIcIc3D0f3z41LUNHcOzgK0Bm9lbDjQ8GO3GFvWXCMRZDJPPP/JsRWVpKZp7b+nlG5G4rWgfupNxeIoOYGCezTzM7jyGQyBucLw49q7V5k1YsSNwR9CIDmSefo+0+9BQU6ZHXOv9F1aIKubBRNw0TYeaySex1RIY6NyNHXs/w7jlAdvgIBwCSE4Er0uLo8hytqfh11gdb+acRU/h6LGvcDNlKcyspTSm+1rhkfKFNosRfy1UTyv6ptMO9WJmkDlYk172+tPGQ9ipqvC29WNWiKnPQS0yh+odHUFJbjuPfHXLqCCO1quP2GTWEuhrKYdaG0DcfGhawuzAO/Aqot4LrMMBPxp2vI3T45ZJDVl9IrsvCX0zn9m2RkS5Mw+J7Gq5TXOngD0kmvYCwML36KouyR1l1/tLiVnHuhz6qEE3jvXdMN7562hnZDmdbZ2Q3RwFyLONgre9is5hzIv2iAXEA7+Eq+L3GJ5PGE7QWvUVbcBmHwBt/hL81SXwtJzHNCuP2xFT7kwFmUdruges2E/MLPmBCDJYnJyHMQRq3bb+aZS/CbvC49DEg6qtHD6v2PZwLeag1qBrNMkMWGEcCy6P98EV+ctti/dRtRb+kVnLPdN4iFE3HUaEBU9WbTNTGGgty75H2dq3VHbBfOQ63TjfX2hH0N7hpcaQFaoWnWkLWnuvIZFIZP5unEOrV9w8uXE0nSqnxqAhnZzBRPxf+LrrtYzz+eAHdG0pym3AWVa2BuyUN7sRsAUlHuwMMafTiBC6mntwYn85vO2DmAfvZOYToixz9s3LdnM1i82+zvxJHGQ5gkfQ4dsBt1KEsno/+m7eM4dlRRLbZz5MHA24XJ+2XIF0EjMTcYx+3YV6l3AIcjiCcl3a6kA4FV7UtH6I8Dej+PFuymK4pHL1r7m4cSfejALI9eKUl3QuL714Gpse/JzE0l7vOeSx5ZOvbpLcWV8L7yM2mfW+4LC4yna+kDqUBU4jOTOB+Ggfuuo9lhtPLh7W9A5tVaoH42rpOl0HF7yt53DDao8S19DbusU+KmAtjt/oFHctWnvO4JvRH3E3JS09s9WpSCyVLxwDuX84yi7yYP6sU9+T277lenFYqL6OurBM+eiJcCpWk1s8VCsF3gNyyrGE5NVP0OgpQ2PgcmZ4njvBqmmn+UPWig+Kch0Z8LL7RAHtxrG+8ygvp95W/kuYHziAIjMQwwMA3t+g98Zk5l6bmMSN3t/AqxhOrR70MO2laCjWzxz9zyaTpEOh7cxa7AY7JkfQrDCpMWQ5guL3HFuhKAoMx5LfLLPCxUtIjl1AoL0RlW5V3w5ELavFG3VboYrGb2ucpmD2g3yugdGJXM29mFq6juArpdgZiuNnFvHUjd4Mhtpfsjxpyjf47M5jMySmRNnXmT+JA11ewUac5E+/aqlk+MTvls989HU04KK+MluuaMkb+CZwEA2VHmM7FrZ9zRt1eMkcIizEEWQhwnuIf/4BWuvKoerv5PagqqnTNvfQopEZeTCGd2y/OEck5RutPQnWrhfPwImtxNJe73I7cciHp19dN0kJ/ev69BGrzEbUM+Pom6XqcrozcwTXWocsI20eY98E0N5QBbde70Uo2/E66l4qfjKOIO9bzIg7/q3QbrTkNXze3Yq6siIjrXsbmsw50rkeOOU+lcPWSW1IR7Vq35PzNmsqc1CgvkZ7cPMH40x25tQPwclBbuvVmeHLHLzle4DIV2Ti1N/YMO1kL1q8Jag6dMGITIrrWRPTo/Z86owebd68gt1mCZ05WvuEEUzIrYMiy23K49T/Vy8vP/5pyRHk95ZcbVthUz+mpDSmoJaDHPcoW11IOhTYziyFbrhDcgTNKpMaQ1aHEr//Aj0xNjcs1z9n46glzmGvx2XMJ4rGMTGTRFouQ38SEZFFa/5pJO/cgz7KaGvA1musx5mIX/+1s2guMoaJl28G8Ypag65vz6Nj02ZzmDjLIOYcGhbzrkRZOTqZ+Jl98k5lj74yC8fng6kv49Dg7dwRtHyYOBpwUV/cEdQm0Lu3DIo+R3ME8YkZJNkEdImnzWA6PgELnRycC6SRTPwbkfNBHGncYplHaAXCjnNzy6t8a3YF6cUzkHTXz0os85LHlk++ulmVMI7Xq4/YZLbJZilTjzSXZBxB86d86/AhEr374FHYnNMvEI1PYCbJhvNl/eXvZkGWA6mtsl+kejAulq7julX3XEHBO52mk0jEL+F88PdoLC8y50jL/cKxfNE/5IdeWfa82qgYceHDlxY6LIJ4Zy4FrVB9c7UBIb9wfGS5rTLox4J/nvcAka/Ix0EOc57prhBumlMXRAJmJ43pN+yh/mfdKRRTkNg1hTlmom7X3m4erbzsLc+s+eVwBKuPIebERUeUR5vJ6o+cra0uRL3ye0Wh7cxSbRvtkBxBs8akxiA7aebTWQlqAzGb4dVmL6L7Nx34YGCcrU1DPFBniQiwAkTespEz5r+YEUHe6eVoijEvhA/12hqwKXzWgZFmK37VuhteMX9Nv/l58YumBlS4fOidYjcu9s/aIVeaI7iOjiDjqU+2L4ZadQTDbFW10798mDgacMHc2rnlbWrE9jUZp87mRGRx4QJa60CfW/UeftN9MTPPjtV4PIBtyiaLs21Vjte7ay/Ck9Zb+ENMhvfCpe5GSJ93JteLNQ+rLGvVy5o2o7t+VmK5Zh5iOGtV3WRdRH09eh9Z0tnztir2htsVxqQ570yq94LqkDt4om8JdfR5XSWW/v8YHUGum33+I+tYUxjqPoSODwYwIY34MjG1u1Gc7DyEwO+4agAAIABJREFU7iHrAi3e1oRd0NtBsTRNRbJXon+s5gjq/WX1NmrMNZUjd/yhlvWJ/17T9ydcq77gdeKytQHdoCO8y8sXXuRyvkXFGp9GhC7Pe8AqjqCWvIwAWzAmz3m0Fcn1d+3Gkfd+CbXiKKLmXrhO9kH0o8xICMvO1o8LbDfZ9wk9Z8eonK28vPjLcvO5juZcdwFlCbNDPfhNx0cYmFjk87VXaDPj88b9WAz/69lI/d+8P4uggbEP5prbmRBxA36SI2hWmtwQxZyVCviC/0A0PoO0iGJ53sCx4f8imV5CauYKzrW/DNXcFJl3TptxFHmVYEfXJWMrhPQ8xoePo9HDholFpxUrQMvRHPwe06klpJP/wfmDL0P1tqGPOW58zpzXdwLD0euYMbdVMBUxDrgDpSgqnxfITvN5F4oCfdjYvDHKBoXP3fC2IDj8L8RnFu2GxCwqj5ucfhOQh4ZFBmJuVjGqOi/irimP+J195sFEcl6M1FJ96txcUHd0Y4RtxcOid+MXcayxFIq5aEAymOJGt6JB55Eh9RV09t/Qo4xa6jaigT3wZBmxjF7GG0NK4Gk8jkhiAZrZHqxDRHK9ZNKbRwXpxVNbHVqRocTSZtDz4gHkp5soUHyuXx+xy8zbD1vVfWYU06k0UtPf6TfgTL0XUoe8j6h16BqZQZoN8SX/i+Fjb8DDhrPM/p/dl4TGmU+hu8XWSPVgXCu1abNvlKLx2EWMJ9PQUlOInTukr47fFbpue2A1y+MROrXmPfSPsTm6yyYT8+Yn5hF69yF0ZRJzc1O4OXwcu8o9KDHtlZOtc3Co8myj5iiB91cIjv6MlJZG8uYXOFhVAu++85jShC1Yo74Qbwxh6YaR0O0qryvriIQjc5OacbCWe8BKdoOviFXdr6IjfBFR22b7UeN+w4sWC1Tcbre0Q4OTfZDbiJGJY59gU3PW0m4c+38+5eXDPzsfM1raeBzD4/NIaynMxP4v2tlKfRFBFfWxQpsxFoZVwBcaRWLuLqZvXsSxXVvhLhFzh+Wy82xntH2M1Dme+a9Sh3Hs8HJjYIGyazjVzObwKZmnxvQkho+1oIrP82OOlrvmtzhtviYth3HU7uFq8C2Ui9cuKR5U+T7C4Hefosnl5avAGMhFJAa79WEaY96PCveO3+Fs/B4fPk0ifspn5GNGjpwqQKwwtEalxDn5CUriw9ajxU+huZzNHzKutUVZzOIe1RFkT+WT6NtXASVrdZhZyOpM8qpPNiH7JNeJzY9R4a5qwbHBizjVtAkiWmA3mDIXLpPsQDm1CZb3cGZ/Qqs2xvEyUuMD6GJDyGIejHs7fMe+taygzlG+LbNC9MqhBzstsSyIB3MsVtXNpoTxZZ36iF1mlrXUp9StaP7kBI5UW+YIFlCHLKIT5PZB76t6/fXju1NvwmVGRLP7kuPzjmxrlq4hsK2IzzsWrBxsFNNt+M/wVfF5r6wtuWvRdvqKZdGBSC8+2fYY3+KYbzuf28j6A7NHf8awueUMu+YflvbJ7NB7+Kq/G9vW6ggivzaqS5e+hcGuNyx20osdB88ibu7JWYi+zM7cx/iAZFflPiq1fUEr69OprTjdA1ZyBPkDsmHjs+fr2afS3EPUvx1K1oOlk31waiPyAy7TqBCOj1Deqvyd5HZqp17UtP0NMbM9sGf6VdqM/Lv7VXR+9Xd8uE30f6ey8+DD20vmoS+rpWyYEy9IRPBR6oOtBpzCnLSqTkvN4TZbqafP9cs3fxY1uKOvgFr1tUtsZR3L3/G1YkY+q+aRr1i5rmMyOJafK8FjPr8ikzzLXo88chRltok1MWPt6zYSiew2lqMY59OPUS/nAvM5W4hu69VHHOTTGd3mc/kcfmf+gujXeddhnjqyslfN09nWOEsqndVSmLvNdjK4Y8x9lX52/rqM1NzUKvaI67eq7M4l2M7m3UbzaAMF6ctXLOe0qzZpV/1itpU13QNWzdbhAiOqLE8Zcrhw7acK5bj2kowUebcBawGina7Ud1drM+L3NdrZVfiw6Qx7X2N7Olrl3XjH5AhuvDojiYkAESACROCFIKAhPdWHVm95ZrPvF0LvDaCkdgejx9/Gm7mmYGwAFYSI5AgKEvRJBIgAESACROAZIaBNfY6WqpdQxl4p2ngSccfN6Z8RYV9IMRZx56cpYzePDa4/OYIbvAJJfCJABIgAEXgOCaQTiH5+FuHe4VXfW/4cak8qPUEC5Ag+QdhUFBEgAkSACBABIkAEniUC5Ag+S7VBshABIkAEiAARIAJE4AkSIEfwCcKmoogAESACRIAIEAEi8CwRyNsRZBfSHzGgNkBtgNoAtQFqA9QGqA08X23A6pgq1i/imFU4/SMCRIAIEAEiQASIABF4vgjIPp6jxydf9HwhIG2IABEgAkSACBABIvBiEpB9vEd3BMXO4Wz3dvNvhd289Z27rTuGa0jP/YjRi0O4OHIZY3PsvbAPMTc2iotD32Jk9EfM5Xq/7otZh6Q1ESACRIAIEAEiQAQKIrDOjqCGxUgnSpzmE6pb0PjHL3HT+o5A9mrTeADblGLUBv+jv0vXeGF9MZ+PWIRtgf8Ptwc7UWW+o7cOgXiqIGUpEREgAkSACBABIkAEiECGwDo7gosYC74GRdmEBv+nCIfDxl/oI7zbsAWqosLTHMa4GdHTsBA9jt0N+xGM3QfwAOOh3VCVrWgNXUQ0+h1Gxy8jtNMNZVMrQv+MInrpMiZoh/VMDdIRESACRIAIEAEiQAQKJLDOjuDP6PNthqLsQmiCDela/mnTGDpYBUXZivahO5YfrIczGGgtg1J0AAPzy8YP8wNoLVJQ1DqAeeul+nEaybn7SGedl0+kkUrJV+Wblr2I/j7um86rnDd7kfl9zCXl/K3X5VEWGyK/k8xDF2u+dEwEiAARIAJEgAgQgcIJrK8juDSKrlIVSmkXRpeyhVqK9WCroqCkI4JF9rP2E/oO7UHDwT78FA/hVw2votKtQlHLUPP6/0FlZQ0a6irhVhSoZTV4vfF9DN1dAtKTiATeQV1ZkT6ErJbtRPvpK0hqosw0pgf8aNz1R5z/5xkc3OGFor4M/8i9/NM2/gH9/76Ek+07UcaGpdWtaA5etpShIZ0YRuAd/rtShLK6Qzgdu6cPceuSrConcyJvYbD7TVQxvdmQursWrYFhJEzH8y6iPS1oaOhEX2IlZ1PoTp9EgAgQASJABIgAEciPwLo6gtpECPVKrugdgEQYDczZaQgjweTj0b7i9kFMx87C31oHDxs+rtuPI/7D6Hi3A611LMK4GXWth+H/YAATi2MIN5dBYXMOj/wV/UNf44y/ER6lFLtC12HEIWcx1F4BxbUZZaVbULf/f/Duvi58M3V9DWkrUPlSFRqPfIIz4U/R1bQFilKLntgC82CRnuxFi1eFWr4bR058hnCoG77KYijedzAwy5zVfOScx2jXK1Bdr6D9r19heOgLBDt+CY9SgtpAzNBFONfFhzB03/R086tduooIEAEiQASIABEgAisQWEdHUMP9oUMotiz8yCpXcgSXRrtQqpSgPvQjNIj0m+Hr+5knFQ7dr9HHnCs8xGR4L1xKBVp6xzPDqNpt9LWUQtnagxi7bPkaAttYtLASbX0T/Lq1pq1C+0CCp00jEW7S8/NHk4A2gd69ZVBcTQiNi4UrS5jt248ipQLtQz/nJycmEG5wQ6kPYUL4eEL22iDG9HNpJGduIzFDw8ZZ7YlOEAEiQASIABEgAo9EYB0dwQXEemr1OYAdkXsOQokVxSpKu0axhIeYCO2ComxH1yhbKJJCPFAHRbGsChZO0bYA4mzK4IMf0LXFBcXbguDwCKLRKP8bQtBXBkVpQpgNn872wedS4NoVxqRwsB4lLYRuryE4tghtPISdqopNHcNg8UHzn751zhTm5qP5yYl7iPq3Q1GKUN7oR3hkHMn0EhZTDzLDy2bmdEAEiAARIAJEgAgQgfUlsI6O4CR6m7xQXCJ6JwsqnJ5KdETmAPBon7kwhC80KelEZJF7b9yhE3MKtbEgap22phHn9OHTZSxG/disbEJz7y3ToVpbWg8aw+NmWoDrpsvGIn+/hkspQ+vAjKyk/j2/sgwdteR/0PfHN1Cub4+jwlP/e/TGLfMMHUugk0SACBABIkAEiAAReHQC6+cILkbQUaJAEdE7m2wa0uOn0ehSoNYGEH+oZYZvxRDo4gj8m1WoTb2Y1tNq3KHzoql3Uj+TjvrhVkpQF4haNqtmG1f/iPj1cT58KrawMaJ3Qoy1pRVzAXlqrpvL14dZSMPEogAtiYnLl3F9JoW8yrJtpL2MVOIyvvx4HyqZQ+j9HYbEqmmRP30SASJABIgAESACRGCdCaybIyiiYMXtQ2ADvZl/y0iNf4XOHW4oai38I7NGpG26F01qZgWxkd6FrT1XYCw4Fg5dxikzFqPIQ7JpTPW1wWtG6PgWNJv9iIrIIlveoS9kyTOtGaU0tDA2vWabW1/DMpYw3fuWvtdhZghcOLpG/vfzKYvrb+cldK6EPhcxA5GOiAARIAJEgAgQASKw7gTWyREUw6UulPv+hDP6RtKfIdhzFB376/n2Ky/jYP9PfPGFmC8oon3LmB84gCLTmWN6OuwpqI0jvIsNP++E/+srmJi4huHQIexwu+DZFcJNFmlcuoKerS4Y0TsLrzWktS3egNCNLQKZ1TPUJsPY5VLh9YVwZWISE7Gv0NVQCsXjQ5gtHsmnrOXrCL5SAsWzC139VzDBXsd38yKONZaaEUEt0YdDjQ3Y3RO1z0W0qEWHRIAIEAEiQASIABEolMA6OYL3MdrFFj0o2X9qOereCWAgzgZVxT8R+RILQ8RiDMtG1NyhsztlbO++C/DXsy1lRFle7Dh4FnH+6jotEUajKqJ3ojz2mW9asZhFpOW6qc3GQhT99CIS/e9aXnunQK3cj5C5h+DqZRny9KOT7XFo6qJALX8LwatsjqBwjp10EbLRJxEgAkSACBABIkAECiewTo6ghnTyjjRvj83du4OkuTGyVUh+/e05GG+Lk7+za41tU27PpSyLNnge6XlMxP6FaPRfiE3MWxxMliyJmcQU5lL8zSTWYvVs15qWy5a1fcsyUjM3MMpWLo/ewIxTeSvJKeTSUpi5ftlY/Rz7L+5a8tFSc7i9ki4iD/okAkSACBABIkAEiEABBNbJESygZEpCBIgAESACRIAIEAEi8FQJkCP4VPFT4USACBABIkAEiAAReHoEyBF8euypZCJABIgAESACRIAIPFUC5Ag+VfxUOBEgAkSACBABIkAEnh4BcgSfHnsqmQgQASJABIgAESACT5UAOYJPFT8VTgSIwNMkIBvApykLlU0EiAAReBoEZDuoOAnBLqI/YkBtgNoAtQFqA9QGqA1QG3j+2oDV98vpCFovomMiQASIwPNAgN3Q6B8RIAJE4EUmINtBR6soX/QiAyPdiQAReH4IkG17fuqSNCECRKAwArIdJEewMI6UiggQgQ1IQDaAG1AFEpkIEAEi8EgEZDtYsCO4HA9gm1KG1oGZvAXKL00K8UAdlKIDGJhfBpavIbDNjW2Ba8jxEjkAUhr2puHULVz64jsktLzFW8OFvLxtAcRzC4X89M2n2BkMtJZBWaW81XJ6vExWK93p92WkEt/hi0sJ/lrB7Hp0SvUkzmXVnbaAxKV+XEo8fBLFUxmPiYBsANdUzPwAWoue03eB59G+jT4h3hefg5xur4tQ1DqA+RyX5HdavHt95fKeOZsmc1w3HvlRW+kqsmkr0XmxfpPtYMGOoJYYwnF/N8Kx/Lt7VkN0ZP8QiaG/wH/0LGILWp6OoJQGc4h0VD6y4+Qonn4yP0ewEEbOZa6HI/i4mThLvuLZhWF0bCq2OPlyPa6Y+rH+aK87DQuRw9ikrHxTeqwCUebrQkA2gGvK9Ll1BPNr33k5gtokho4fxdFwDAtrgitfnI8j+KzZNAeO68ZD5rP272TT1s7seU0h28GCHcFCAOXnCEo55xURlNJgPRwnOU/r9/wcQWuKRzteD33WI49H0yIr9Ya5seZzU8rSjk48gwRkA7gmETdMe12TVgDya995OYJrLTrn9fnI9KzZtHxkzqnwE/5hI8n6hNG8AMXJdrBgR9D+dMEjOccvIH7tc/hbdqKyrAr1vsMIRiaR5mCFI7j/zAX0+vehvrIClfU+dAQjSKTFGK4UFRKO4If9+GfoPby1YwvKa/agPXABY8klnrM1zT3Ewu+hqbIYiqcOrUcyUUstNY6LwcPwNdSgvLwGDS1/QHh0ypQP+tPb+zjeP4yv/XtQU9OItsAI7grRzAYiHMFuDP7zNDrfegXl5Tuwpz2Ab8bm+TAnUAgjVoSWvIbPuw9gT00Vqur3wd97AWf2W4eGNaQTEQQ7WtBQw3g0wNdxwla2Kap+MF84E3tG/JuG9PQPONt9AE2v16DMU4m6xhapHpkiC0hEw/C3NKCmfAtqGt6G/9wV3GV1vRBDuLMJlaoKT91+HNEjwA8s0eAk4r1/gr/7S4w9tFbAEu5GT8HvP4XoXVb/hixh/9smixb/WYxOLzpKbp5MTyJibQu+wzjxzQ0keVGZuruHhdhZdDZVQVU2o671sCXasYjp0bN2/cI/YNpsy2ZpdPCMEJANYG6xlpCMf4HutjdQU7kN9S3vo/fS37BfGhpe1aboBeTRTlZpj05yGm30LxiMX17BnrIuch8TF0+iw2fph2Y71VZo3/ZSDfv9Kj4cHEKo81fYwfr0nkMIWPqNYUMzEcH8ZbyH+OcfoG1PLSqrdqLF/7+4dGY/inJG4Z81m7bszNEaEXwQR+8f/OjuuwnbBBPtDqIn/wj/ySi/15BNs7c8+rbeBGQ7WLAjKJw6Y44gd4zcpSiv2Yee3kGMRP6Oj33VUNVX0XP1vq6HkcYFt6cGvp7/xdDIMPo+3odKtRjbei7jgX4Vz8s2R7AYJe5NqPJ9hL7Id4j0fQRfZQk8u0K4qTsJ1jT3MREJoaPOA6Xch54znyMykQJSMQQbS6FW7sPHfcOIRodx/sO9KFfL0BweM5xB3elkZXlR0XAAR468i6Nf/mQ6dpnK4OWVuOGp4vkJfT17EbppDIoUwsiUs+oATg3+E9HI5+hq2AK325UZ6l74Hl3VXlS1fYrBkSiiIxdwqm07VM8+9DrOYUsVziSjtHmk3b2IzqoSeBq6cD4yorPsP9GGKrUY1V3f8yGhFMbDPnjUavg+/jsi0RFEznehwVOCav8lzD+YQCTU8f+z930/cRxZ2/MH9M1ccoGENBqJC0urCM2FURQxF1i2kOxoI2R5N0I4ioWtd6PBkQJxFNuvvkCiGGv9gjYG72a0G5S8JrtG3jVxzGYhXuyIccxkQxQjf5PPdhYSjxfwj6AJGpux+/lU3VU93Wd6ZpoxxsCcSA79o6rOOc859dTp6qoeNPr9CEXew6nTlzCzZPfjQ/N1rPYrRBO2l0z6jxjauwn+vUOY1UVC/BkOhYMItbxn6iL94A+/hZFkvmRwAZPdz8OvMI5/ibGTBxDWarBvaMbwd9Z3c1iaiWGgYyf8vucQ6f0Yp2MzWMJ9JEfeQtj/LFqOnzXtM+KyGuFDn9kebCzY+GANIEAJ0F0lHenEh2gOVsk+JmO3JoiAZlsj6IVTPMVJ8Xh009OM0QBqQjsK8GkKif4W0g/fQ0uoEsG9g5jO6HniO1eiKa8SgeBW2acVfz+D3QPfmckNWRO3PB23ov3keUwIbu5+CTWBKmh5E8G1x2m3p114woGH+Spb2xFFwvZwq88OYa9/E/YO/QhdPNgyp+UGH19ZUQQoD65sIqg9j+7J7JpBM8CzxKmIJJssiKdVc2DPboSwJwNqs0gFtPoeTIo1g8Z/OhYne1Cv1aEjds9lswh9ZZDB3HAbgkQ/6Hcw0bUDWrANw3MZuR6xAr7NRxG3ZLnhL3Wk7RkJWhU2dYwbyZBpr9pQ417HiZHS05n86HdG0F6tWYmg2W4DuidTlnL63Tg+PPo+hq+bSbd1wzooEROrvjrIYG60C03bX8XH02bqbtyhfjTW/1Vgc+c4FpTbsIhE9Ffwb34H42IjUM6rNuL7xcvo2lyJ2u6v5UMCoE8PYJdWi/bRWej6LEbba6HVH8PEgpodBkD8oDS3/hrkXOVoF8ZTeQ/6hq8hLV6WOTZD5b5GMX0ik1rLPhqXlkQ+WCMIUAJ0VUtPYrg1BOeA/RB3Rt9EtU/xmeqrTs6jnOIpTjzEo5ueXvhUnzuHVvHwZT2giZYeYmHiGOq1EFqHxUat3Pj2LA9mEqttehsxa013drOIdx0D2BGdys6Uyb7ty5sICg3XGqdlsDB6wDmL6UgEdSzGj2Kzz87dDzA98BK06jcxeuchwJzmFnp8bYURoDy4somgmsVTSpOB3jm4qkK0M5NkwI0kRVWZaJhJAqmTQxBUhpKt48FkD2p9MqF0dFpVxu2vlFfbg8kHVhYAqE0q8rrTXqqjbNeBUb7Fz87r5uDiR6ChDb2D5zH5/R2k7Wq4qVwqJq5t2S9mkJqfQWJyGN07gzJZJbjai9uPHbaLGxSjn3Gl9wVoFs6ENI0Y8KO67QyuJZNIWv+uYqitFj6rnl2oePgwE0hfYAfaek/h88nvcTft3P7t9B0dKNWi8Fq0DV21yU0iee0M2qornEkmEc+nTw8BSoCumuRsYpKlHNe9cMpducmoSJx4iEc3PZ0xqkrY9aJxq8oAePA1umsr5ENrgXK2KqY8exIjbqq+IK8TDi2uo6pPN2Llu25TaM1xmguOBA88+Aa9WwJZftBvYGBXENXtI7gjOJw5ze5gPn5CCFAeXCeJoMvnYxwdjCYQdjIU0zviEzQV0HYNYJokTA6iMsq5yMpxhpSX8zkXpx6OtnOSHNmoPRkySCFgzfxlxVJ5cv1S207UaOKnbzQEwi25a/SyDeQ+PXvFxNGGPNEXcOPzKA42hREwfo6wAjXbX0Tjc5VSdxdCdGvHbrtx34mfGGSWElHsUDO/S1OI7ghYM67mjGKBn/6hDyY2Hcx1mG1orKkwf04xsAUtHR8hJl8nO31H7VHn+WU//uczbMry4YohQAnQrWFz1lnN/NlK2PnBU/+ZlTNExeOkWDzatLAOnTGqLtu5T/Yn7SUM2GfvRVGpvxmnKp5pMqbaNP+a8nLLOPRwtEtn1lV7dh3lw53LzF8+eaqVnBlBTz7J87mzFeE0FxwJHpBvRcwZ1EdOfhOGGZyYP16sz6plQbCOisWQw085s8BK9/yymdMsqNf9AeXB9ZsIOp5oaQJhJxrhM3qe9aOjcxid9nESwRQmuxvgk69JHG17SQTz6inbzUk8dWRSSSRin6L/yEsIOdZaZm00jygG9Dxb3ql39rp5tITk0H4Efc+gqfss4okZzKfEdiB7e+ppns4eAMikcPte2lx3WTQRFBMO5hOzeN3+k0gK/dk1p+rVcn3vt9lXSlTdYueZFJKJSzjX/w6aQxXQtvThygO9yKthRZq/RO9UvlfxxQTz/aeBACVAVx1y4lKWMjinSn7uyB7vzlay/UclgsuIkzzx6JRgnmXl2JMbu14qTnOTt5VLBMnsP0l8StdRteuiuwWG3VZxkZ5bBUl/zl43j1aK01zwJngIeeaDhngL9aO5VEZyjqGLjD3mNOojPl9JBCgPrpNEsAL+3YO4ac3mqZkitcalWCJork3T/PsweNO+X2sJNwf3wa+emJebCNL25IxVsPUc5sQnEB3rzKiO0q2OQUc+Hbu2WyVn28Su2f9F5+u9uCDWlKj/JOGYmyjURftfSpIeMbE3YRzLduhrV8N2paN4+yoWQAewa+CGbbONXGel8HbYLhp3wyiD2aEI/Jtexf+88zz89oXWcgbVuZbLfPV7oecwOn43ihnnG1/DAmM9Zedh9FyYtekmZfsjGJrNEN/lErxJ5lXOdU1C9J2L6Hm9A78bnS7wAfQcUPnCKiFACdBVrIwrd85RM4Xe+o+XOHko1vcWiUc3PZ38okrY+7niyWrsHpy2xTqg3xzEbqt/5sa3as3+15RH25I4kHXWavaouI4qMcrTrstMYVYnu63iqjefZOuro5XitHSRNYJSnrGe+hfYdKAL72zZ5OQQ5jTlFP77BBGgPLhuEkGftg0Hz1zFvcxDpJPj6BM7gLefwBVjcRxNIOQMWnUr+sf/hcT8fehz53FY7HRtPoFYchF6ZgHT4yfMnYGHzxuJm7dfMRHekfJ8lQgf/BsS95aMXzKJ9b2MoLYTvVfMTRxOEqQ6Si+TZMjckSt2BP8Fk3Np6OlbiEf3IChewcoZQT15BvuCATR0foYbYjZOT2MuHkVzkCy4dgRSiZg42hAnsh2tEd0T88iIXW6pf2Nc2G7TEfo8xjsboFX/Bv2T/0FazyB1/SwOhatQvf8cZkVSL2d1qyMfYDz+HeYz7hipBfeBQHVOYnl3/AjC2jNo7ruI6VQGenoWU2cOG9esnYzUBn0GQ/tqoDW8i5EbPyGDR0jPXUZUxJRMNJ2+U7MTmxHp/yfiiXlklH3Bl9E3/m+kRFzOf4szB7dBs+0cp6L5/OkiQAnQXZuHMOLKvxXtpyYxl85Y8eGzNovAG6d4iRMP8eimpzNGVQmSHOm3MHZYxOTL6Iv9aPbD6Ysmf4Y7MSY2ycElvlVztr+mPB+08GGcSdxBRnweKiY4NIDtvd8Ym6ycM430YVg1RnU0ucIffgOnDK5QfKah8GaRtcZpLji6zAiKzTrGxqOqAAJ++tpexh5zmgoW/vsEEKA8uE4SwQDCB4/jvZZnock1aaGWExi3Pg9CEwjx+YeT2BsS67/UrNQjpKdH0d1cK9vwwRfYikjfF9lPfSx3RjD8Bt5/T3yCxlxXoYX2oXc897uJjk/s0HVrJBEUpJxJ/tOmZwVCe/tw8sgOKxGE+CTF+B8QCQfN9W0CE2pLTvCUiElOO+I7h9+gf6/yhZI9gssn/wt++2xm5keMdb9s4ePzVWP7odNIWN9pPXQ2AAAgAElEQVR/TCFxMmLeN2YJF5w/L6hkq8X09rbVPVcsdqD942+tbwJaRa0DgfEX6ItslWschf+CCEf+YMVUziCbvoqT0mZrrWnmJsb7WhEOiAFLtKEh0PAGPp76yTH7Yonlg6eOACXA/ArdR3Ksx1guYPhWexZ7//QBjtTbl4544BQhoGicFI9HNz1zYtQoRJIskealv8eoox86Y92o5hbfRKgpbxsOvn8MLQa3+uDTnkVLL+VQumtYfTlBNZirIwhXaKFX8KeTnagvOCO4BjmN4vjQXJ+uZkgVAubDrUbedKm7bvzOnKbQ4b+PjwDlwZITwcdXpYQW9DTu3UoiOZ/KfgS6UDOZFOZv3SM7asUu11tIJmdxj+wULdRU/nuPkL43i2TyNlIr+iFhqWchWxUey7FlxTDxiqOYMbxt7Ky9pdYGOsA077vfcxQsfGJhsRw/KN8l4U2+sDk3bvT0PdwSO5YL+aqw9nx3lRCgBFhUrOgvyVtyHWy+0t76QvE4WW485tPH7XqxfijquMe3a2tGzBfDxa1moWtKx+X0YXPd8crwvDc/Gg/rBTnNO46F0BBveozxblljy3JjyF3X4rFaUHO+ucYRoDy4vhLBNQ4uq8cIMAJrGwFKgGtbW9aOEWAEGIGVR4DyICeCK48xt8gIMAJrFAFKgGtUTVaLEWAEGIEnhgDlQU4EnxjU3DAjwAisNQQoAa41/VgfRoARYASeNAKUBzkRfNKIc/uMACOwZhCgBLhmFGNFGAFGgBFYJQQoD3IiuErAsxhGgBF4+ghQAnz6GrEGjAAjwAisLgKUBzkRXF38WRojwAg8RQQoAT5FVVg0I8AIMAJPBQHKg5wIPhU3sFBGgBF4GghQAnwaOrBMRoARYASeJgKUBzkRfJreYNmMACOwqghQAlxV4SyMEWAEGIE1gADlQU4E14BTWAVGgBFYHQQoAa6OVJbCCDACjMDaQYDyICeCa8c3rAkjwAg8YQQoAT5hcdw8I8AIMAJrDgHKg5wIrjkXsUKMACPwpBCgBPik5HC7jAAjwAisVQQoD3IiuFY9xXoxAozAiiNACXDFBXCDjAAjwAiscQQoD3IiuMYdxuoxAozAyiFACXDlWuaWGAFGgBFYHwhQHuREcH34jbVkBBiBFUCAEuAKNMlNMAKMACOwrhCgPMiJ4LpyHyvLCDACj4MAJcDHaYvrMgKMACOwHhGgPMiJ4Hr0IuvMCDACJSFACbCkRrgSI8AIMALrGAHKg5wIrmNnsuqMACOwPAQoAS6vNpdmBBgBRmD9I0B5kBPB9e9TtoARYAQ8IkAJ0GM1LsYIMAKMwIZBgPIgJ4IbxrVsCCPACBRDgBJgsfJ8nxFgBBiBjYYA5UFOBDeah9keRoARyIsAJcC8BfkGI8AIMAIbFAHKg5wIblBHs1mMACOQiwAlwNwSfIURYAQYgY2NAOVBTgQ3tr/ZOkaAEbAhQAnQdosPGQFGgBEoCwQoD3IiWBZuZyMZAUZAIEAJkFFhBBgBRqDcEKA8yIlguUUA28sIlDEClADLGAo2nRFgBMoUAcqDnAiWaSCw2YxAOSJACbAcMWCbGQFGoLwRoDzIiWB5xwNbzwiUFQKUAMvKeDaWEWAEGAGXJTKcCHJYMAKMQNkgwIlg2biaDWUEGIE8CFAe5EQwD1B8mRFgBDYeApQAN56FbBEjwAgwAoURoDyYNxEUBfkfY8AxwDHAMcAxwDHAMcAxsLFiwJ4q5k0E7YX4mBFgBBiBjYCAGMz4P0aAEWAEyhkByoOurEgLlTNgbDsjwAhsHASY2zaOL9kSRoARKA0ByoOcCJaGI9diBBiBdYgAJcB1aAKrzAgwAozAYyFAebDkRPBRIootvhq0jc57VshbnTQS0Ub4Kg5gdOER8OgqolsC2BK9ikd5JZE6APT0j7h09jKSet5KK39jYRRtFRVFdF15savRYnE8pQ+2RJHI7yh4iwEvFj3CwugBVPgaEU2k81Yornfeqsu/4fC/N/2WL2RlY3vl/FHAEqMPV6CibRQLRrFHSCcv4+ylJFazewrRlADdtc7lE/dy9qve6lC8zfPCMWxy4CriVyLn2tFY1rGj3yyrpq3wasYU7dv03KbWYx6uJH/R2HtM1dyrr6G+7q4gXxUIUB4sORHUkxdwoqsHg1MmtXuB11sgLiF54Y/oOnoaU4u6x0SQ1ME9xDrq4CuSlHjReVllVoTQliVxlQp7wdNbIlhK3Lgb6YV8vejt3npJVx3+96JfKVJW1qaV80cBW/SbuHDiKI4OTmFRFFscR8emyqfywEQJ0F1ryifupZxXvSWCFG9PieBq4+cpESwFIydi1pmj31hXl3ewqjFF+zY9X57q+UtzX8+PDd95HAQoD5acCJaihLdEkLTsiZRIHcxjtK2GE0EKS8nnXvD0lgiWrEJORS/k60XvnIZLv+AY0LzoV4qoVbapFBWL1XHgVKzwyt6nBLhyrXtLBKk8T4kgrfSk8SuJc6mSyzhfCXtWog3PKtO+Tc89N1SkIPf1IgDx7RIRoDxYciLofLKVT4cnziNx9RN0te5CXU0YOyNvoz92ExmprEoEXzt1HkNd+7GzbjPqdkbQ0R9DMqNeEpEnTUVKx0fw5cC7eGV7LUINe3Aweh43Ug9ly/Y6P2Fq8F201FXCF2xE25HsrKWensbF/rcRaWpAKNSAptbfYnBy1tIPxpP3MZwYGcc/uvagoaEZ7dEJ3FWqOUB/iFTiLHraX0ZD3RbsbD2GoUt/xmvk1XBRmUab9zE3eRpdrU1oCNWioelVdA1+jTkLEwCZm4jZdY+8jQ8+v4aUq26iUW8+ESUL67iQF08HHFCJYA/GvvwYna88j1BoO/YcjOLzGwvWK8BS4saQo/+ExCe/Q/ueHagL70Jr199w6dRrBV4N59e7sL1Oq7JnOjJzX+N0zwG0vNiAmmAdGptbnbHrGIzcBodHSM9cRH9HK5oaRBw3obXrNCbn7mfF4D6SsY/QEVGx0IqOD1Ss57cJmVlMDv4WrcuM7Ts5M/viFVscg12v2nQ8gyt3l2w60sNCOosAs80ILk5hsLMFdZqGYONrOKJm/mHi65RLsJHtdJ24UPKSD0qA1BLz3M4nutT/GE6MTeHq0DG07gyjpm4XIh0fIZZUvlOJ4Gs4delveTnQGf+QSyVewPGxCxjo/A22i/6/5zCi9r7tCb/isWXKjmJk4lN0Ne9AQ9MbiMZvW33TwmLZnOsVIyHBC28WiSdLUXmQN6aKY0KbMs8FH/8VPe178WJDCMG6F9DsGMto36bnohUvsgvZuUb7erFxyFOsrk5fd/ctXxUIUB4sORFUSZ25RlCSYOAZhBr2o3doDBOxT/F+pB6a9gJ6r/xsoG/W8SMQbECk92+4MDGO4ff3o06rxJbeb/DAKKUI1b5GsBJVgU0IR36P4dhlxIZ/j0hdFYK7B3B9SWRC9jo/YyY2gI7GIHyhCHpPfYLYTBpIT6G/+Rlodfvx/vA44vFxnDu+DyGtBnsHb5jJoEGAQlY1NjcdwJEjb+Ho33/IJUroSCc+RHOwCuH2jzA2MYHYuW401QQR0GxrBL3IFAP/yFsI+59Fy/GziMUnpH3VCB/6TCbIC5jsfh7+8AGcHPsS8fiXGDt5AGGtBvuGZlz0E0B680lxXNLueBq+sv9PyqsKIBiWGKsYCO7DwHXjpSBZI+hRR6SQ6G9BUNuK9pPnMSF81/0SagJV0PKuEcyjtyef2O0yj/W7F9EZrkKwqRvnYhNG/Ix80I6wVon67q/MV54FE8FszNQZcTyBeOwsjrc8Cy0YweC0WOeoY3GyB/V+ZWccE2MfoV3I3XcGST2PTZkfMHJoG/yhfTh+zoxto1/5t+HQyA8FY/uhY62vjsz0IPYGq5DV8RN0Nz0Drf4YJhbUg5cdn2I6izFRrPOVa9yWZhAb6ECj349Q5D2cOn0JM0s6MsnPcCgcRKjlPRNfGTv+8FsYUcmWbOdxlnxQArRbkj2284lap1yJQE0tGiLHMXThkuyjldC29OHKAxsHaVUIbivGgdm11SYnViIQ3IrI+58iFlec+Ax2D3wHI/0uit8ji4+yfqOxpZJOIes5NL35Do4c6sHfky4JvsWDXjnXK0bZPpCfNz3EU9ZR5pFrTHnDhDYlEtW740cQ1p5BU/cniMXjiMc+wwdtW6Fpz6N7UiyFookfPc/amd8fxexci33dwzhUNFZXr6/n+pavKAQoD65sImh1FFOcPjuEvf5sYqRIzxo4RTH9Rwzt3WR7jetGwhXQ6nswKdYMGv/JTqTVoSN2L5v0qA0mOa+GM5gbbkOQ6Af9Dia6dkALtmF4LmMNWL7NRxG3ZEmR9j96EsOtIWg7okgYiai4+RB3Rt9EtU/Z602mfmcE7dVVqO+6hAVlnkoIlH1G56pCbffXMlkWuN1G/MMe9A1fg/tWCYkjsdnpE286IgdPOxjq2F0eFr9Cd30VNnWMG8mS6wNEQR0Bfe4cWoMB7IhOmQOjEKnPYrS9Fr68iaAoRF+teLVX2aT+ZjA32oWm7a/i42nzccW4Q2O3UCKoYsYRx4C+cAld9VUItp7DnC4xrO3BpJFcCCkPcTd+Ekf7PsP1tAgQapOMO20Huibu2B4KTNLWNr2NmLXWtgI0tp3+kGuSNr+LmJX06VhKRLHDvwUd43cUILa/HnS2Dw6ipgOnrC9zkk0SOzahJR9SAnRvSNqk+ETq7+SgDGaHIvBb8ece/87+ppKx3ETQwYlw95212SYHP8lHBWNLyfZjc9dl88HF3XiLB532FuFcLxipPlCQNz3Ek5veJWKS05SexGjnS9i+7y+YtvhY0I19LKOJHzlXdhb0hxc711hf9zIOraG+nuNbvmAhQHlwZRNBRZxKHOmczkFHFaLB7kbCJAkSVY3FwRUyOSJ1cgZLKkPJ1vFgsge1PplQ0iBWxejffAuTHde9yLyLxdjb2OSrRdvQVSSTyey/a2fQVi3tU0lPYAfaek/h88nvcTddYGuuoS/FRBrh8IkXHUWina+cHRg3YhP3ZXIhkxtnDHjRUZcY0Z2V+a7bdaJ603NVlsSBupz3bwap+RkkJofRvTOYfYhxYEsGB8c9e8MpTHY3wGckbBn5MFGNhrbjGPx8Et/fTduSO1GP2iDxrX4dQ9duZuMneRPXhl5Hta8B3ZMpa3C3kgmpgsMfD75Gd22FlbTbtcx/rB6ACuhM+xXFwug3flS3ncE1ex9IXsVQWy18jsQ4vyZe7lACdK9D4pLqb1Qi/lUz8MvkQBN/6SNLGRXbeXxH8aPnVjv22NLJbLxVKPfAsHeZnOsFIwc/2sQ6rnuIJ1tV65BiQM+tgk5MrMv5DjIpzM8kMPmPbuy0JjWo78m5J9nrsK97GYdoHFAsVrGv53MpX3/Sr4aXSYKmQ+jA5kbCLp+PcQQcqUMHS1lW2zXgeMoT8h0DoVHORRaJHH16ALvsr4DVfXt9TzJn5SdQ8v90jRq49dRVfNLThsaaCvOn/wJb0OJYo6SUUH8pJvK6vWN60lF8Hoj6SMmw/5XycnZqO/Vw4O1p8HyA6YGXXF8Bm23RBNGuE9Hbs732NuSxvoAbn0dxsCmMgPHzixWo2f4iGp+r9JQImroGsGvgBknsnPhAroVsawxBM+QEEW7ptK21JTYp3+T9SUg5+2SPTZt5Dn/YY8NWpuhhMZ0l7iqWc2YEDbn5+4D1KamiihQvsDYTwdwYdvilCH5eY8sslysrB7U8seJ4xU/7LtXRaNSZIHniTVGvWDzlKJw7y+wVE7em9NQ1fB49hKa6oMm1Wg22v9yI5yzOd9pFXxV7ll3UzrXX14uOQzQOKKesYl938y1fMxGgPLhOZgRdkjPH7AUZTNXgaCUltENlw8HstIUHy2xpeUSDWxUwdKqSn8XwIlMlgr9E75S5jlI1lfdvJoVk4hLO9b+D5lCFbY0SrUExkfcdunvR8XETQecTuANvOpgoExw6UtJVhdQsXqGBjdpHz1Vb5IEge1keLSE5tB9Bn1g3dBbxxAzmU2ILFGmvkN6Oe3YBefyEDFLJ/4vYuX4caa61rbUlMpUO9X2YspYp2NuXx3kGd4c/jKd1NctubyOD1O2fYLyZtl/OOc6js6fBoQL1vd9mX/3ntL0yFygBurdKfEL1NyrRuCR1VMPE7w68rQdRGsMqtvO8qSBt5iTWSjbpX6ZsKssqnD3IEysoxLleMKJ6K4kO3lQXxd888WQvoo5p2/RclSOYWJfVgT6DoX018AV3o/vcBBIz80iJTXuO9qjvybmjrGpY/M0TI3ntXMN9Pd84ROOAYiHPV6Ov25HnYycClAfXSSJYAf/uQdy01mzIdUtaCK3D4qO0tIPRDrSIRPRX0Pz7MHjTvjh6CTcH98GvvYQBsfYrHwE6MQT0GxjYFcijk1oj6E2m+ZRc5Vz/Jh6K71xEz+sd+N3oNB7ejePDzsPouTBrm02SNvsjGJpV+7LtilJM5D1Hx/SmY07CYxdjHSt9CMZLU4juCMg1cDTh8qIjYGJUjd2D0zb7pe7WGi1LEdtBiXFga8E8lO3QV5SGbVWeZgQhyzrjWDh6GoO7q2HMVj8S6z7fxes9F3HHinWF2SbsHfoRukr8rIccOWOq/QrRhLkhx9T5Ie5c6MXrHb/H6Mz9vLHtSEzkmkc6c26uYw26zGYK/T3oXGxwkP3JueZWtD2LCz2H0fG7UcwUWwmR4zP3C5QA3UuRuKT6G5XI4J/DQbJlR39TvqRrBPPENlm7nHdG1UtsiU+yGhuDvCaCy+RcLxh54U0v8eTmNIKzp/5m62NWk0Y7fud6bKjxRnE79T059+KPddjXdS/jEI0D6pdV7OuWT/kgBwHKg+smEfRp23DwzFXcyzxEOjmOPrEDePsJXDGmKQhxQ85CVbeif/xfSMzfhz53HofF7svmE4glF6FnFjA9fsLc+Xv4POYEKRhB7DL7mAOj3FkmdneemsRcOoP03GVEm5+Bz9osIjY5eJCpz2O8swFa8GX0jf8bKWHf/Lc4c3AbNLXbVj6lag3vYuTGT8iITxNIeTmDp6UrxUTeIB3Tk44ueFpirAMpz1eJ8MG/IXFvyfh1l1jfywhqO9F7JWWUdCQeHgdPSIz84TdwavI/SOtpzMWjaA5qRTaLlBgHlk3qQLajNaJ7Yh4Z8amT1L8xLmwTr2RVUubAlgwOyGBurNPYjdjcN45k+mG2DW0bDo/dEsONOfOoPY/OkWvGTISevoV4dA+CVqLnYpPa0dx8AuPTC8joacxP/RUHRbyrnfV5YtvpD7VjMoS9/V9hztDx/+HcoW3Qqtsx7PrA4UFnOjjImaXqyAcYj3+H+UzG2qnZ3HcR06kM9PQsps4cNvCyds+u2udjSN+h+puRTH7ZhtRRoeOICZWM0UTQBy18GGcSd5DRF5GMCV4KYHvvN+ZGMCo/B78lD7GlZHtPBJfFuVRHV4y88KaHeFLY2v+WiIm9CePYaMcPbXsPJoxPJmWQmr5ojDdZbqd9m55v0L7uZRyicZDjl9Xr6zm+5QsWAus0EQwgfPA43hOf2pDrs0ItJzCuPiuRk1CI7fsnsTck1tOpdVmPkJ4eRbd4zabWUwW2ItL3RfYbhkYQe0kEBZ73kRzrMV7PClB92rPY+6cPcKTeXt+DTNFU5ibG+1oRDojERqyV0hBoeAMfT/0kZ8DElvsv0BfZKteniTJBhCN/sGFg+VgeeBuYjO9dFcPF+FwOxTOPvPAbeP898Vkec82XFtqH3vHcb0k6PjtUZG2pISnzI8a6X7a1+wr+dLIT9QVnBEuMA2qamJxKfYP+vSr+fPAZsTOCyyf/C3410+wY9OngIBr5GdOjtpgRfg63os+Gj2ssOMq42eQWH9VoaP8zptS3NvPEtjMRFIaTuBY6bv9vnE6oWHQBxy1+7TrTwUF8DuhkxPSlmo0Xcsf/gEhYrssS/SCwA+0ff5v9VqZsx0q8XVQpdokSoHt50ndy9Be1qH9JHdWwIyZUMkYTwW04+P4xtBh8ZXJJSy/lJftPzLng5yG2ljcjuEzO9YSRAIXElxtvFosnha3jb2mYOJowTh4ideVDOXZILhaxPHYRJ1s2ybdA1Pf0fKP2dTeeIeNQThy4+GWV+nqub/mKQoDyYMkzgqrBVf2rp3HvVhLJ+VT2I9CFFBA7vm7dI2ubxI7PW0gmZ3Gv6M7bQo3Le0JG8pZcM5avvDeZevoeboldk3nte4T0vVljZ+ite3Q3aT7ZXq970NEVT7f2lZ63zfU1bkVKuiZm4m4jmVxmu656e7A3R8dS6uQ0Ahgxk0QyJzazZa1YyFfG1SaFe7F4zMrJe+RBR1q3qM6OCqYvc+JY9fE8Phaf8dj369xNX46mC5xQAixQdNVvmfh59V0e/ErwW0FDlT/yclLB2vlvGnoWtnV58SRErSAmK4Wjh3aK2inayOGBp9nXlewkcvqvq8fz+EXF1hPq666q8EUDAcqD6ysRZCcyAoxA+SKg38bkiVfxX+pDyyUgQQmwhCa4CiPACDxpBFagrz9pFddz+5QHORFcz95k3RmBskLgPm7/MEtm+JcHACXA5dXm0owAI7A6CDx+X18dPdenFMqDnAiuTz+y1owAI1ACApQAS2iCqzACjAAjsK4RoDzIieC6dicrzwgwAstBgBLgcupyWUaAEWAENgIClAc5EdwIXmUbGAFGwBMClAA9VeJCjAAjwAhsIAQoD3IiuIGcy6YwAoxAYQQoARYuzXcZAUaAEdh4CFAe5ERw4/mYLWIEGIE8CFACzFOMLzMCjAAjsGERoDzIieCGdTUbxggwAhQBSoD0Pp8zAowAI7DREaA8yIngRvc428cIMAIWApQArRt8wAgwAoxAmSBAeZATwTJxPJvJCDACMH7CkXFgBBgBRqCcEeBEsJy9z7YzAmWOACXAMoeDzWcEGIEyRIDyIM8IlmEQsMmMQLkiQAmwXHFguxkBRqB8EaA8yIlg+cYCW84IlB0ClADLDgA2mBFgBMoeAcqDnAiWfUgwAIxA+SBACbB8LGdLGQFGgBEwEaA8yIkgRwYjwAiUDQKUAMvGcDaUEWAEGAGJAOVBTgQ5NBgBRqBsEKAEWDaGs6GMACPACEgEKA9yIsihwQgwAmWDACXAsjGcDWUEGAFGQCJAeZATQQ4NRoARKBsEKAGWjeFsKCPACDACEgHKg5wIcmgwAoxA2SBACbBsDGdDGQFGgBGQCFAe5ESQQ4MRYATKBgFKgGVjOBvKCDACjIBEgPIgJ4IcGowAI1A2CFACLBvD2VBGgBFgBCQClAc5EeTQYAQYgbJBgBJg2RjOhjICjAAjIBGgPMiJIIcGI8AIlA0ClADLxnA2lBFgBBgBiQDlQU4EOTQYAUagbBCgBFg2hrOhjAAjwAhIBCgPciLIocEIMAJlgwAlwLIxnA1lBBgBRkAiQHmQE0EODUaAESgbBCgBlo3hbCgjwAgwAhIByoOcCHJoMAKMQNkgQAmwbAxnQxkBRoARkAhQHuREkEODEWAEygYBSoBlYzgbyggwAoyARIDyYN5EUBTkf4wBxwDHAMcAxwDHAMcAx8DGigF7Vpw3EbQX4mNGgBFgBDYCAmIw4/8YAUaAEShnBCgPurIiLVTOgLHtjAAjsHEQYG7bOL5kSxgBRqA0BCgPciJYGo5cixFgBNYhApQA16EJrDIjwAgwAo+FAOXBp5wIppGINsK3JYrEo8eyC9AXkbw0gkvJpcdsyKyup3/EpbOXkdRXpLn114gHPB8lotjia0Q0kc5v36OriG6pQEXbKBbyl/Jw5xEWRg+gopi8nJZKrZfTkOcLKxU7nvBdGEVbRQW2RK/icbtQ1kDZLysOYHRh5VrNtv/0jigBPlFNjNgPrIhvViqmTHsfIZ28jLOXkihbeivK797GJrOP1qBtdP4xQ2keo201JYyFpdYrVV2OnVKRW0v1KA9ukERQx2LsbWxadpKQzzX3EOuoK6FT5mtvvV33hqenREW/iQsnjuLo4BQWHwuGUhO6UuuVquzKxY4nfDkRXJajKAEuq/JyC69YIrhyMWWYsDiOjk2VK5KgLheStVHeC57eEkE9eQEnunowOPV4j7lAqQldqfVK9ETZx06JuK2xapQHN0giuNKD/Sp3rjUWJIA3PD0lKitmmzedcsWVWi+3JW9XVi52POHLiaA3t8hSlACXVXm5hVcsEVy5mDJMeCIxs1xwnmZ5L3h6SwRXzgovOrlJK7WeW1serpV97HjAaB0UoTz4GIngfSRjH6Ej0oSGUC0amlrR8cF53Eg9NGFYnMLg0aM4ceGm7fWDjsWp0zja9UdcMF7hqs7Wg7EvP0bnK88jFNqOPQej+PzGgq1eIVlmm50tYWi+X6Cx7W1z9smYiTqGEyPj+EfXHjQ0NKM9OoG7uo7M3Nc43XMALS82oCZYh8bmVnT0x5DMiBclC5gafBctdZXwBRvRdsT2tJeZxeTgb9Ha1IBQqAFNrb/F4OQsMkUcL17rxB31juHMldvZeqLd0z1ob/k1Gmp+gbrG3Yh0fIRY8r5seQnJC39E14nzSFz9BF2tu1BXE8bOyNvoj9202jGfTv+IscQ3GOraj511m1G3M2KzTTan/4yZix/afPcquga/xpxhfx48XWw0E5UXcHzsAgY6f4PtIg72HEb082tIqXdOZEbQu44/IfHJ79C+ZwfqwrvQ2vU3XDr1WvFXw3qxesK/Peg6ccH52t81Xu9jbvI0ulpVjNtxcgGkQOzo6Wlc7H8bkWXEjid8XYjZkyzx6j8+6LTtzLe4a8SA7Jf2V8OZH3EhegxdPWeRSAvnFutHKtaUP7YjFHoer3R+jMuTn+GExQGinNnWYNeraGqoRaihCa1dpzE5p+LfDevSrlECzNtK5iZidn9F3sYHVlxTHlOtkNhSieDxEXw58C5e2S5s24ODURtPiqoFZbnzkdmPohiZ+BRdzTvQ0PQGosQGRFIAACAASURBVPHb0CFi9q/oad+LFxtCCNa9gGY7T4g472xBnaYh2Pgajhw9janFrD+X7wPxqjAOZ70zuHJXLdHxECeKq8emcHXoGFp3hlFTt6skDhRwFo5/dzyVB7N/vY1NzhlBbzxt6Ji6ik96DmBPQxjhnfvRNXQep14r/mpYL1bPlcfyxOtyx7O8sfMI6ZmL6O9ofeL9N+sfPnocBCgPlpgI6lic7EG9fyvaT57HRDyOibGP0B6uQnDfGXOAdRmgcmeaZGerCiAY3o/3h8cRj32K9yP10IL7MHBdvEwsJkvH0kwMAx074fc9h0jvxzgdm8GSQcKVqApUY3PTARw58haO/v0HPLp7EZ1Cz6ZunItNIB4fx8gH7Qhrlajv/gqLSGMmNoCOxiB8oQh6T32C2EwayPyAkUPb4A/tw/Fz40a94ff3o86/DYdGfrCSsRznZG5gcG8NtDppX3wc57p3I6jtQNfEHej6PMY7G6AFd6PbaHcCsZE/oS1cCa2+B5MGSUucAs8g1LAfvUNjmFA4aS+g98rPhlgzcQigJrQDkd6/4cLEOAwdtUps6f0GD4xSKST6WxDU6hF5/1PE4hOInXsPLaFKBPcOYjqTB88cwwBTXiUCwa2yLSXvGewe+A7GUGD4IbtGcHk6qvgSmL2EmkAVtIKv/5VtherleYLOidf7SI68hbD/WbQcP2viNPx7ROqqET70mXxooKDkiZ30FPqbn3HGwPF9CGk12Dt4I2/seMKX6u1JVhrTgxESA91oClahvusSFnSSCKrYD7+FEflwohftRwKbXH+IeAwHA6iy/Kgjk/wMh8JBhFreM/ukjG2/TR5FutRzSoDu7Sxgsvt5+MMHcHLsS8TjX2Ls5AGEtRrsG5qBnnfGnMSWxUGbEI78HsOxy4gZMVSF4O4BXF8yHzwLy3KPqWxsPIemN9/BkUM9+HsyjbvjRxDWnkFT9yeIxeOIxz7DB21boWnPo3tyAViaQWygA41+P0KR93Dq9CXMLJXqAx2Z6UHsDVahzrBvAvHYJ+huegZa/TFMLDyEpziROAVqatEQOY6hC5ckTpXQtvThygOBkzcORNH4d8czNw68jE2KA9UawWXqqOLLwKwWgYC/8HIkZVuhepQPDMNc3oqoPr2c8cw1dh4hnfgQzY4YOIvjLc9CC0YwOF1g/Xgu6HxllRCgPFhiIigDvrYHk0YnFdo/xN34SRzt+wzXxYyBp4CU7SiSUiAsfoXu+ips6hg3EjNjQ0khWW7ELBMQ3+ajiBvJlGg8g7nRLjRtfxUfT5tpkSFS/xFDezfZOiEhdDzEndE3Ua2SN6UnzAFD2/Q2YpYM66aZxBprF7egM3YnO8O5NIXojmps7vgCC3Oj6GxqxL6Pb2TvI4PZoQj81mDpjpM+O4S9/uxGATU4mAmt1IPYps+dQ6sY8I2kV+n6EAsTx1CvhdA6LBaQuxCHKmr76yqPYuKaCKqku5COAeyITpnJpCimz2K0vRY+CxObIqoZw7Zi9ahvZWUSr/qdEbRXq8RIyZIPJVodOmL31EXyl7afwdxwG4I0xvU7mOjaAS3YhuE59zllT/g69PYoy1jnU4HNneNYEGOs8d8iEtFfwb/5HYwviONG+MSM4O1p8wHIkZR560dmrBF/qPhQfpR+VYmD0gYODrCuPvYBJUDXBo2YrUJt99fy4UnE323EP+xB3/A1pPP2D+J7GfvZBzohjcRQUVmiDmkXKgHxY3PX5ezaWz2J0c6XsH3fXzBt+VV0HSdP5HBzyT6Qa+02v4vYgnwTBB1LiSh2+LegY3zWG9+64lQKB3qMfxc8c+PAnXNpXJp9lCSCpK878Vc6/grRRHbVtMk3mm0Mohp5rOfgA9UG5fNSxzPxwoxsTtOTGG4N2SYtTJn6wiV01Vch2HoOc7ZYVBrx36eLAOXBEhNBGUi+ajS0Hcfg55P4/m7alsi4BIxhNw1It4RSFJQEYyR/GTMJKyTLjZgluRTerZpBan4GiclhdO8M2johJV6pT/XrGLp2E8lkUv67iWtDr6Pa14DuyZSLZ1OY7G6AL2+iSKvoyKTmMZP4F/7R/evcRND+qk5UJZ3SSUqqbbstFH9VBsCDr9FdWyGT7wLlbFVMedR2tdFEXid+KK6jqk93I+e7rhTKd59et+Oh6lIsVZ1atA1dtfk7ieS1M2irrnAmCbZmcgftPPKg48FkD2p9+ZNKT/g6YsCLrLtF5VqzL/7n8cpvtmRnkxx22k/c+lG+GFJ2S/8aSakf1W1ncM3qV6J/XcVQWy18jgdAu8zSjikBuraiHjoCO9DWewqfT36Pu2n77ul8thH83ZI8IVAm4kaiWVSWqEDatRJBlYC4WgFkUpifSWDyH93YaXtgpLxh6lOCDxyckUcHx2W3OBHGuH1ZgGIsx4qCHJiLkylexZzqa/nK2ZX1Mjbp8q2I8oMXHfNtVMl3XemU7z657uADVZdiKessezyjPOlyrkRiuWOfVZEPVgEByoMlJoLiwdZc+9PWGIJm/BxdEOGWzuyaNU8BKTtOzudjSIcqJitvIujy6QZ9ATc+j+JgUxgBQ+8K1Gx/EY3PVRZIBCVx5P3ZPUUE1INeCOchUjfOI3qwGXUBzfhZP61mB15ufNb2GpTgocQQjIsnWbId7SUM2GdERXsOMqbEoQQ6/5ryaMKmZiskJo52yT2rOTtODzA98JLNdquQJN1ceWYJr/XssrJtOwdHZX/+nxTK/4BB2pf2a7sGHLM0QrK7v7I6ecLXHgOeZM16+AyPjBOfhsC2X6IhWIVw50XctT/ZF+1HeWLWslv60dA/P87GrOQKfsKGEmAWbeeRuRarDY01FeZPbQa2oMVat6vig8aim+9dOIj0icKyhF6kXYqhTXU9dQ2fRw+hqS5o6q3VYPvLjXhOy745cMa6GsxL8IE99mw6OA6LxgnlHlWbYpwnnuw6eIp/8ZmXXDyV1OxfKa/I2OTswx501G9gYFfANtYoifnkyfte69nxUE3njI/S/mWPZypWsrFk2h/ArgH7Gy0hOA8Wlk588DQRoDxYeiJoWZFBKvl/ETvXjyPNtdDUmjVPAZkv+PM9TeSRlRPoilwoCS8hObQfQZ9YQ3MW8cQM5lPitRwlhjzn9X2YMtb1WMYXOZBPXjmzGmLm7w7upR9BT57BvqDfXLMYT2BmPoVMjj15OhXB2ElKSjW7LZRcVRmFl1rLV6CcvYrrdwTJ0zcZ9ErXUbVLB1+lUD6daT07HqouJTjV1i/RO2Wuv7SVLHJI26fn2eruWND71F5lj5zdcMSAF1lz8lNLdCZXrJxI4fY9MbMv480fwdBsGrPD7ajWGtA5Pi9n/b30I/pqT9ml9LcnghWo7/02uwxAFX0CfykBFhWRSSGZuIRz/e+gOVQh16w9zJNME/yN2KccRGffbRq4yhLZN2k3XyKoz2BoXw18xnrjCSRm5pESm38cMUJjPXu+bB/YZzZtZoglOKnbPyGte4kTyj2qIdUHVfx74cBcnKzWDK5SD+z5y6nyViKTkwg6xyZnH34cHWW7OfKURvl0JvWor43qFEvZ1rLHs2ysWN8tdZUnhObBQpnDf58qApQHS0sEjfUy7+L1nou4Y5slMDvFJuwd+hG6QYKV8lWjstlch5Rd8K8GnH0YvKl2mQEw1tAF5PoCsTaniKycxEmRCyVh2QFoYmbIq7I9pdFOJ2ebNOe6DrEu8s6FXrze8XuMzrjtcJSDIZ2BU2tydn2Eb0bER5LpoJwHp4KvRfLNMNltket3tGrsHpx2vMrXbw5it1892VHiUP5z/jX9TduSuqu1b8tOBAF9egC7cnSkmDh1EWfe6smYc7yuV7hkn3TNtqqc6xSFjDsX0fN6B343Op3nA852vIVWUm8/iXEs4ebgPvhpbNjM8oSvg4i9yTLXLClfK4Fq3ZCYLV7IrhEUs3Fqw1P4CMbvirVg3vqRJ3/ImQ5tRxQJ+0OWPosLPYfR8btRzNjfyip1S/xLCdCtGf1uHB92HkbPhVlbH1FcJZLjjJzNVa8aZSuUR2Ts+3cP4qbFkyrW5HpcD7IsvG1JghkbKkmS8o1Y8JNlC0peNrZzEsNSfSDXH9PZbnO9WxC7BmIYER9JLsa3hCNMaygH5UksSoh/Nzxz40D5m/Rbx9hEOdeLjnIsoXxAYydHIY/1PI27pY5nLomg1NsZ4wYZY3B3NWhs5JjFF54KApQHS0sEIZ/0tOfROXLNeOrU07cQj+5BUCVLau1L9X4MfHsT9+7N4vr4CewOBW07BmXH8VUifPBvSNxbgvjUSqzvZQS1nei9ItbdeZBlrbfajEj/PxFPzCNjdAiaCMqnJ60R3RPzyIjPVqT+jXEhT0yTW0Qry1W3on/8X0jM38/ufms+gfHpBWT0NOan/oqDYgeytQMw16dq11z13n5MzqWhZ37C9XP/B2FtM/YP/4j7xjqxKmzvvmR+uiOzgOnxE2gOitfEiui9EAwlJaULSUz0Wxg7vA1a8GX0xX5EWs8gNX0RfWJXa7gTY8bGBTVrY8NTNWf7aw5GPmjhwziTuIOM+CRJTOgewPbeb2DsFyMkb9ZRT+aqMaqjuZPaH34Dpyb/g7Sexlw8SjBRdW1/5Q7swvXU+tbNiAxMInnvLuauX0Tf7mcRqLJ9ZNfazf0y+sb/jVTmIdLz3+LMQYGd2tFuk20dusTO3HkcFnHSfAKx5CJ0y8dVCB8+n3cxtSd8HQMhoHuRpWyr/g36DXwzSF0/i0PhKlTvP4dZumtY9BO5O9R8ReyxH1kbYsSO+AkkblzFuLH7VryGVLH90Nrp2tx3EdOpDPT0LKbOHDZ2v1q7zy18H++AEqBra3JmTWt4FyM3fjJm6NNzlxEVfUQmrGay40d1ZADfJu/g3tw1jPe1IBSwLTGRse/TtuHgmau4J2IoOW72te0ncEVsqvMgS+y+NtYa2/jINRE01uz5oW3vwYTx+ZZs3/b5bImgXNtXHfkA4/HvMJ/JlOgD5bsQ9vZ/hbn0Q2RS/w/nDm2DVt2O4dm7pt7F+JZwhOmTUhJBj/HvgmduHHgZmyjneuNpc0yoRrj9L+aYoMZOxxiUq5Gnep7GXZQ8nqm15NnYWcLcWKfRV5v7xpE0YkCOqdo2HB67ZXuYyrWJrzwdBCgPlpgImt++Gu9rRViua/OJ9UThVvSNq+/aiU8S/BPd4nWxsRZBQ2D7u/hspMf2s2Sy44TfwPvvic9pmOtUtNA+9FrteJElZqKv4uResa7OZz6FPBQLkGkiCOipb9AvywkwfIGtiPSN4PLJ/4LfekrTkU6cxN6QWB+kZk6EPV+gL7JVri0Uulajof3PmFLfTnT1KcVByPwlDp2+an5rT/8JV/pfsWz3+YLGpybGLn+EFr+abfNGMJ6SLPGwlv4eo90vE5l/wLj13UIXPK0ZjayRprxtOPj+MbQYWPng055FS+8X2c+rEJL3qiMyP2LMpqMWegV/OtmJeiuByOrhOPJSj5TxBV5A52ef4jiNl8xN5MR4wxv4eOqnAuTmFjuPkJ4etfUFFXc2nBxGmCee8CWJoPhEkydZFANfNbYfOo2EEctu8aY+OSNfEXvqR6Lv/gfxD//bXLOmhdD4ZhRno78h34O8j+T4HxAJy3VtRr/cgfaPv81+j9IFn1IuUQJ0b8Otr4t+ae8j95Ec6zFeFxs8IvDrPIOR4y9kHyiN2A8gfPA43hOf0zB4sAKhlhO2vuZFVm5MPXRdlvEQqSsfSt4S/CQ5eewiTrZsQnbWJoXEyYjZ/60Z6VJ9QHEQPP/fOJ0w+4gnviUcIaOfvH53i0mXGSpP8Z+LZy69eRubnHzmVUc6JlQgtLcPJ4/syMaOa2B6qUfLuI27onG3uPMynrnEjv4zpkftfYHmAq7G8MWniADlwdITQWmEnr6HW2K33617ML4zm2Oc2Cl2q8B9VeER0vdmkUzeNte1qMu2v95kzRpr72zVXA6lTskiZcWuuxy7lJ635PpCl+ZdLxWSKWYmbxu7U28Za7RcG1jhi15kCp2LYCS1Mn2zXEyKmaR0zB8T7i14qafKFLfPijtj/aa7xJyrrrFTKAZyWnBcWD6+XmQpDJIoLe4Ky9B/nscPOf1ZzvRYCYjNTD2Ne7fEjuHl+tvWRpFDSoCFi6u+XgAf4edkgftKgLItbwx5lJXDR0qA7a/UKT8ni7Km73P8rvRcrg8KyiwcJzbNV/DQg0zXPuqmgvLNSsel1DFvTLjpIq55qSfLFI0XZdtyuDtP7BSMgXy28PWngQDlwcdOBJ+GESyTEWAE1j4C5lrEajQPXMt+NDszjaHWzbYPBa+uHZQAV1c6S2MEGAFG4OkjQHmQE8Gn7xPWgBHYmAiIZQ/GuuEQGl97C11H3kRLOAjxmr//SqHX608ODkqAT04St8wIMAKMwNpEgPIgJ4Jr00+sFSOwQRBYwr3rlzB8ehCDg6cx9PkkZoxPNj0d8ygBPh0tWCojwAgwAk8PAcqDnAg+PV+wZEaAEVhlBCgBrrJ4FscIMAKMwFNHgPIgJ4JP3SWsACPACKwWApQAV0suy2EEGAFGYK0gQHmQE8G14hnWgxFgBJ44ApQAn7hAFsAIMAKMwBpDgPIgJ4JrzEGsDiPACDw5BCgBPjlJ3DIjwAgwAmsTAcqDnAiuTT+xVowAI/AEEKAE+AREcJOMACPACKxpBCgPciK4pt3FyjECjMBKIkAJcCXb5rYYAUaAEVgPCFAeXJVEUPwqQvLGd/hu5j8efvVjPcDIOjICjMB6RIAS4Hq0Ya3prKdm8I3xm8W5P9S21nRlfdYIAuIXbJLfI/HddIm/arRG7FinalAefOKJoD53HofDlRCCsz80/4TQ0xeRvDSCS8klU4Drb1g+IdkFm839DUo9/SMunb2MJHNnQeT4JiOwkghQAlxW2+R3nZ2/M7uslp5Y4RxeeeIcmMHsUAQVuwYwXZTLcnnwiQGxCg2vmv+fuA9XASy7CP0Wxg5vs357e0v0Kh7Z76/k8ZrNCYCc+KG6riQOpC3Kg084EXyA6YGXoPn3oP/bHzz83jDRdlmnOhZjb2OTrxHRRNqsqd/EhRNHcXRwCovLamulCy8heeGP6Dp6GlOLgi3vIdZRV+QHxldaB26PEWAEKAEuCxGSCOrJCzjR1YPBqYVlNfPkCrvwyhPnwNu4cHALdkSnIB+/C5i3sRLBVfP/BksE9ekB7NKq0dz/NZLJ4r/1XiCgitxayzkB4IwfF12LWPc4tykPPuFEcDU7vvwxe3si+DhIPdG68xhtq+FE8IlizI0zArkIUALMLVHgCkkEC5R8SreeAq8sjqNj03Z0T6Y82Lya44EHddZLkQ2WCObMhD0xP6ynnGB1daU8+FiJoJ6exsX+txFpakAo1ICm1t9icHLW/IF540n0XbQ1/gI+LYyWt44UmJm7j7nJv6KnfS9ebAghWPcCmiNvoz92M/tj9QDEa4/44G/Rask7hjNXbiMDHYtTp9HZEobm+wUa2942Zdmfhh8kMPTbLvQMX3c+ueq3Ef/wf9D1YRx3jVcbQpfT6GptQkOoFg1Nr6Jr8GvMZQq999CRScbQ39GKpoZahBqaEOn4AJ/fWIBZyz4j+BOmBt9FS10lfMFGtB2xzShkZjHpsM+G5xPrLNwwI1A+CFACzG/5Q6QSZ9HT/jIa6rZgZ+sxDF36M16rqIB6leV8ogeQuYmYnQ8jb+ODz68hpajD4KNjODEyjn907UFDQzPao59h7FQPuk5ccC4TWZzC4NGjOHHhpsEhpqwoRia/wIeH9pjctOcwolb7C+68YudAaWxB3hZllJ5jU7g6dAytO8OoqduFSMdHiCXv2yDT8WCyB7Wb3kbMeNMh6i4iGR908ueZb3HX4E+VCL6GU5f+hq7WXairCWNnDtfryMx9jdM9B9DyYgNqgnVobG5FR38MScXDnnW0+TFUi+2vvIuBy3GMnDhmYWsYVAL3Ov0vOf7EeSSuflLANht86rBY3KhE8LU/41JBfxQfR4vHkVKqlHFQ+P9nzFz8EB0Rt/HTxOhIWyOCvkrUtRy2vSVTctVfDzEgiuaNt0crmBOYugx2vWqN761dpzE5Z+8LSm/b3yJ+zcbPT+66Gk0V94PZTpYrbBrkPaQ8WHoimJ5Cf/Mz0Or24/3hccTj4zh3fB9CWg32Dt5ARr+Dqb//Bb2R5+Dz70TH/57C6diMMwkz1HyIu+NHENaeQVP3J4jF44jHPsMHbVuhac+je1K+dsncwODeGqe87t0IajvQNXEHD2ZiGOjYCb/vOUR6PzZlqQ7UNooF+TpW2xFFYkkxM6DPDmGvfxP2Dv0IHfeRHHkLYf+zaDl+FrH4BGLDv0ekrhrhQ59lSYjCu/gVuuurEW7/CGMTccQnzuNk+1Zowf0YMtYrKgI8gNGFnzETG0BHYxC+UAS9pz5BbCYNZH7AyKFt8If24fg5E8/h9/ejzr8Nh0Z+cCTEVDyfMwKMgDcEKAG619KRTnyI5mCV7NMTiJ3rRlNNEAEtmwg6ZzYWMNn9PPzhAzg59iXi8S8xdvIAwloN9g3NmA+EBh9VoipQjc1NB3DkyFs4+vevMOL2doDMPpqyKhEINqD95BdI3LiKcaP9Z7B74DssIe3OKw4OBFCMtwUgUs9ATS0aIscxdOGS5MFKaFv6cOWB4s/7uN7fhE3tI7hjXEpjejCCoFaPyPufmvwpcAtWob7rEhZ0yYNaFYLb9qN3aAwTsU/xfqQemvYCeq/8bLhDv3sRneEqBJu6cS42YYwtIx+0I6xVor77K3OZjycdXfwo+Dy8CYGqSiuhL5V7nf6XtgWeQaghv2258eY1biqgBX6BbXn94W0cLR5HQsMSx0GkkOhvIf5/Dy2hSgT3DmI6k8G9qRGc6o0g5AuiseMDDJ6+hBnbeKzw8RQDKBxvt6dXIicQkzyf4VA4iFDLe2Y8ypj1h9/CiOPBSGkv/hb3azZ+5rDklr949IPZTpaX7FrkO6Y8WGIimMHccBuC9kRNSNTvYKJrB7RgG4bnMoJ1kIg2wlchEqA8y0H1JEY7X8L2fX9xLDY2EzRlnHp/vgWdsTtylg3A0hSiO6qxueMLLMBlatVBgjoW40ex2ddge40h1zBWv4nROw+h3xlBe7UiLQWhjsXJHtRrdeiI3VMXHX9NR9jbBfS7cXx49H0MXxfkRnGgr3Ae4s7om6iWSa2iWRVMmv2J2yGZTxgBRmA5CFACdK2rJzHcGoLzoVH2UZ/iJLLY2+CaKtR2f40HqlHjbUMP+oavwVi1LPnIt/ko4moGDZQLZOU8iaCVCBnFzMFGk/wFt7YcHOiRt2Udrb4Hk5ae5qYQv33pjX4DA7tq5UM0AOM1cQU2d45jwSKxRSSiv4J/8zsYXxDHjfCRccPJ9RnMjXahafur+HjaQhLQf8TQ3k3Z5TRedHT1o+Jz5cfSuTc7kM9nOb6gbSowbH8NO7zFTUF/eBpHVczaEmqXOCp1HNTnzqFVJP0qWTfafoiFiWOo10JoHU4aY7cTNxsW1qHHGCgabxksjB5AhT1mHf2heE4AfRaj7bXQ6o9hYuGhpSGMyZ8qbOoYd99/4MGvThxy85dS/ZBVMv8R5cESE8E85AX5qsCnkiaaAOVXzLqTSWF+JoHJf3Rjp1911hQmuxvgK5gQ5QJpPtlWoMKYEQTw4Bv0bglkydogsiCqjSdalWzWom3oKpLJZPbftTNoq67I1rOUNQ9Mh/kRaGhD7+B5TH5/B2mLCEUZigPFTy7yrn4dQ9duZuUmb+La0OuodiSvRDifMgKMgGcEKAG6VjQGGNuMkSpErjuIXA4YvsAOtPWewueT3+Numjz8OgYh1SjlAnndNRF0Pmwih29d2nLIdLlviCO87aij9MzlVyOBq3gJA0bCRtpQ1Rx/KQ/Km8RWRxVkkJqfQWJyGN07gzmJoMXtRiWiY752H3yN7toqOSNYOvc6/J/D8V5sE5MnZqKx/LghtjpBA1zHUZUIFoqju3LT5XLHwQL6GHhXWEmTEzequNu5Wwx4iTcXnWhsF8wJ1MONH9VtZ3DNnhMkr2KorRa+2h5MWjPkNt09+NWJA9W19HzEpkXeQ8qDpSWCEkzN5ZMBTuPydHyinp66hs+jh9BUFzQ/M6PVYPvLjXjOeg2Tj8DsDVEg1SsOWyII8+nUnGF7hKVEFDusmT5VX3zmxv2fk3TssuU6lLadqNFEXQ2BcIttTQvFgdojz/PI9flq0DYqnjr5P0aAEXgcBCgBurVl7mpUD6G2EgbvBaxXik6uA/TUVXzS04bGmgqTQwJb0GJfV0fqmy1TLpDySBJjyrJ9EUEWc+rg0pZ94PPK2/Y6lvmKH5UO5kzapuf7cd3Id+l9q6LtgPKgvEVshb6AG59HcbApjIDBiRWo2f4iGp+rXFYi6MTGpobDD6Vzr7N9j7bZ1FCH3uLGPo6Jmrl4Fx9HVSKofKg0UNfFODMrZ9Hcx0DRf9zHQWm/ph4Msm3TCRknbrZy9sOiMZBrv726eexSJie2C+UE4g3vKNoq8mNR6G1nMb86caC6qvP8st39kIuC2xXKg6Ulgm6vIKQ0p3F5OoddM30GQ/tq4AvuRve5CSRm5pESC4Id5CCf2nKybx2Z1B35kWoFnC3Ic5wOmCQvZix/NF9ZWGteVP1fonfKXKtiV9PbsdAniUTsU/QfeQkhrRJber/Bg5ynRUrY8ry+D1Mu6yW8yeZSjAAjUAwBSoCu5R3cYyvhmEmyD57kIS2TQjJxCef630FzqCK7rs6RgKh2KRfI60QHk1dt3GYUo7MiLm05ONDlvhTn4G1HHaWn4kelg+DkettbEjWDQWebxCaaFG7fS0PP4UE3W5eQHNqPoE+sGT+LeGIG8ymxzIjo7kFH5ytnZYd4M2SfEZTtlsC9Dsw82WbTwe2wYNwUSQQ9jaMqZpUPlRL2OLojE8HljoM0PlTbuRMyTtxs5axDLzHgtFKunQAAIABJREFUJd5cdHKJm/w5gUoEK1Df+63L/gZL4cIHefzqxIHqqs6X64fCqqi7lAdLTARlFu3fh8Gb9q9HLeHm4D74racCD4mgQXh+G6EIVXU5W6eeyuX6FKtdaY56f2/MTCrgbEHu4nRzrckvsOlAF97Zssnx/SszIKoc1wxt7lxEz+sd+N3otMuHLx/ibvx/0fl6Ly7csa0hkLL9e4cwqxZJW2slCalBrlXUfoVowv7Fw4e4c6EXr3f8HqMzRXYoKQ/zX0aAEciLACVA14LGkpEA/LsHcdNa4kE5SQ2q5my9sSa48zB6Lsxm1zCr5MAfwdBsRm7CyM4omrIlRzqWveSTVY3dg9O29iUPW2uyKa/QQdgjb7vxJp2BMpKpese6aTPxCmDXwA2bjmoNnpgpWnBfM+5IeqUN9KHfWA9etawZQXjyY+nc6xzI84x1Dttyo8173BRJBD2NoypmC8dRaeOgilnattiEPojd/mxcOHHLxcRK+ovEQPF4SxdZIyhlG+tP3XMCFUPO9cLmK/0LPYfR8btRzJAVIKJVL3514pCbv5TmBzc8c69RHiwxEQTMXwypQrD5BGLJReiZBUyPnzB32h0+jzmDQPN0DrteBqH4oW3vwcRdkVRmkJq+iL7mZ+CzLcxWu4iq9/Zjci4NPfMTrp/7Pwhrm7F/WHxiQT3VbEak/5+IJ+aRcSU0SUxVAQT8ZBpbn8d4ZwO04MvoG/83UpmHSM9/izMHt0EL7sPAdXuSljVCT57BvmAADZ2f4YZ4etXTmItH0RwMyKSS4iDXPFa3on/8X0jM34eyT+A5Pr2AjJ7G/NRfcVDsnts9gOs8U5gFnI8YgRIRoATo3ozcgenfivZTk5hLZ5Ceu4wo4SQHkcsZGa3hXYzc+AkZPLLqWIOIwUc0EZR85NuMyMAkkvfuYu76RfTtftaxs9WU5YMWPowzU7NIi89mxEy+zS7Oz+UV+lrOE2+78qZzoDKW1Wz6b1ywbwJU/Fn9G/RP/gdpPYPU9bM4FK5C9f5zLg/EEn1HsiRt0BrRPTFvfBosk/o3xvteRlC8Jt4SRUIMvB50BNRGBTW7eA2J8Y/QbvzSlZpkEIO23KW8TO51+F8l/dbDvpttLtHmOW6KJIIex1FPcaT8uMxxEOoXQ0S92I+m/+VYroU7MWZsIFXJaKHlTh5jQOmZN95WICdAdjd2c99FTKcy0NOzmDpz2PjSibljvzS/OuPHRVdlXxE/PN3Pxwiimx5Fd3Ot/KkYH3yBrYj0fWH7zApNgFwAw0OkrnyIvSG5rsZYX9eKvrGLONmyyfZULrZx/5PI+yUOnb6a/U5X+ipO7n3W0MdYv/jwKqJbaAcSm5vF7mDN1rZNr8xNjPe1IhzQ5FpBDYGGN/Dx1E+2p1xbeePwPpLjf0AkLNc4CsJyYEFxEJ81OCltVk9Kwr4v0BfZKtfFiLUB1Who/zOmUraZRiqazxkBRsAzAt4SQdHcfSTHeoxXu6KOT3sWe//0AY7UZxM5SuS5/TeIcOQPGFefmHBNBMWz748Y634ZIWN9seCOF9D52ac4voXKCqLxzcNoUVypPYuWXjvfuvBKTsLkgbdz6gg87InggvGLURXG2w4CPbXFV43th04jYXAY5UFZ15EIirWW36Bf8riBvcGlI7h88r/gV2+hiuoof10K9zEX/wiHjPWGFahpfBPRs3/AK7bvQYo3ULm+K869Tv97s42gZbz9ypXtFjd0HLP7Q9jqbRw1dS4WR+Y3MZc/Doo5kO8xao9lH7FFRFIiii1F1r17igEBZsF4E/s0VyAnEFyQM77vQPvH32ZzjxzHusWUE4scHKiuYjLNQz5itpN9sMlRxeUC5cGSZwSzbYsdPbce/6dixC4nsSvn1j2y4zYryTwqJk/cf/yfrdHT93BL6DOf8v4NP/FD2rfEbmOP8oXNOfY+QvreLJLJW3JtDLWfzxkBRqBUBCgBFm3H4KXl9EXVf5O4ZayLKypBFhDri2/n5Q77oGFyUwGdXHmF6lGMR2l5+7lpo7l2z35dHStblouBqi/+Po5+sh39Z8z/kMzlUSPxVA/gdpnKdwWwtRdf0WMl+3EwE7AVHkeXFUciTS1lHBSJtRHLj2mL5xgoJm9lcgLxps8c32+b+xg8+X+5fnXXtbAfxNK5NvzasSSjsHKUB1cgESwskO8yAowAI7BWEKAEuFb0KqaHfQAvVpbvSwTktwf9zR9jWv0iCe7j5tBrqLZ9wLqc8OI42njeFusRT+xrz7t0zc1iyoOcCLqhxNcYAUZgQyJACXC9GMkDeCmeEq9L/4TmYCVqGl9FR9c7ONiyBQHxmr//mwKv9UqRtT7qcBytDz8tS8vMHfxwa7HA0rXc1igPciKYixFfYQQYgQ2KACXA9WKmnprBN/GvjY1l60XntaGnjsy9a4gN/xWDg4MYHDqPyZkF78t91oYRK6YFx9GKQbmuG6I8yIngunYnK88IMALLQYAS4HLqcllGgBFgBDYCApQHORHcCF5lGxgBRsATApQAPVXiQowAI8AIbCAEKA9yIriBnMumMAKMQGEEKAEWLs13GQFGgBHYeAhQHuREcOP5mC1iBBiBPAhQAsxTjC8zAowAI7BhEaA8yInghnU1G8YIMAIUAUqA9D6fMwKMACOw0RGgPMiJ4Eb3ONvHCDACFgKUAK0bfMAIMAKMQJkgQHmQE8EycTybyQgwAjB+NpJxYAQYAUagnBHgRLCcvc+2MwJljgAlwDKHg81nBBiBMkSA8iDPCJZhELDJjEC5IkAJsFxxYLsZAUagfBGgPMiJYPnGAlvOCJQdApQAyw4ANpgRYATKHgHKg5wIln1IMACMQPkgQAmwfCxnSxkBRoARMBGgPMiJIEcGI8AIlA0ClADLxnA2lBFgBBgBiQDlQU4EOTQYAUagbBCgBFg2hrOhjAAjwAhIBCgPciLIocEIMAJlgwAlwLIxnA1lBBgBRkAiQHmQE0EODUaAESgbBCgBlo3hbCgjwAgwAhIByoOcCHJoMAKMQNkgQAmwbAxnQxkBRoARkAhQHuREkEODEWAEygYBSoBlYzgbyggwAoyARIDyICeCHBqMACNQNghQAiwbw9lQRoARYAQkApQHORHk0GAEGIGyQYASYNkYzoYyAowAIyARoDzIiSCHBiPACJQNApQAy8ZwNpQRYAQYAYkA5UFOBDk0GAFGoGwQoARYNoazoYwAI8AISAQoD3IiyKHBCDACZYMAJcCyMZwNZQQYAUZAIkB5kBNBDg1GgBEoGwQoAZaN4WwoI8AIMAISAcqDnAhyaDACjEDZIEAJsGwMZ0MZAUaAEZAIUB7MmwiKgvyPMeAY4BjgGOAY4BjgGOAY2FgxYM+K8yaC9kJ8zAgwAozARkBADGb8HyPACDAC5YwA5UFXVqSFyhkwtp0RYAQ2DgLMbRvHl2wJI8AIlIYA5UFOBEvDkWsxAozAOkSAEuA6NIFVZgQYAUbgsRCgPMiJ4GPByZUZAUZgPSFACXA96b4xdb2P+cS3uHEvs/HM0+/hxr++w3xG33i2sUXrGgHKgyUngo8SUWzx1aBtdN4zIN7qpJGINsJXcQCjC4+AR1cR3RLAluhVPMoridQBoKd/xKWzl5GUfdCb7LwClnVjNWUtS7FVKUx84cl/8xhtq4FvSxSJ/E5eFe1ZyMZGgBKgu7Ukht0Lkave6lBuMM8bEU2kSXu2U6MPVaCibRQLxuVHSCcv4+ylJEx68ybb1uJjHK6krIdYmDiGLVt6MLm4FpMlwksLo2irqCgyFtmhTeFK74vY0nUJC2vRPLuq6+yYju/rTP2nri7lwZITQT15ASe6ejA4ZVKTF8soCbrXWULywh/RdfQ0pgQ5eEokSB3cQ6yjzpFYlKKvu37Fr66mrOLarHYJ4gtP/iOEu9oqs7yyQYASoLvhJIbdC5Gr3hIkyg2eEkH9Ji6cOIqjg1NYFFIXx9GxqdKWkJSiL1Hf8+kKykp/g97t9WgfnZUJrWclVqkg4aVlJ4KAfmcE7Zt+ie5J7+PkKhm3jsXkju/r2JinojrlwZITwVK095YIkpY9JRKkDkgHprf5fPUQ8OQ/9tfqOaS8JVECXDk0vCWCVJ6nRJBWKiEhoU08/fMlJIf2o3pHFImltTpdRnipJNwXkYj+GtX7zlhvp54+9utdA+KX9W7OU9Cf8mDJiaDzyVY+JZ44j8TVT9DVugt1NWHsjLyN/thNqNUfKhF87dR5DHXtx866zajbGUFHfwxJax0FeeJUicTxEXw58C5e2V6LUMMeHIyex43UQwmhvc5PmBp8Fy11lfAFG9F2xJy1dOorqj1CeuYi+jta0dQg2mxCa9dpTM7dt9xi1vkjxhLfFNDXKm4d5MjK3ESs/21EmhoQCjWgKfI2Pvj8GlIF+M9sI4qRiU/R1bwDDU1vIBq/DR33MTd5Gl2tTWgI1aKh6VV0DX6NOQM/HQ8Sn+C3XScwfMOYO8jqdDeOD7v+Bx8abYjLhdoR95VP/46JfxxDc8MONLV/gPjdDDLJmAO3SMcH+PzGgnyqt/vCNqNb0H9uHbuYfpZpfMAIeEaAEqB7RRLDxozcMZwYm8LVoWNo3RlGTd0uRDo+Qiyp+EIlgq/h1KW/5eVAyg0mJ76A42MXMND5G2wXfXrPYUTt/GCfEVycwmBnC+o0DcHG13DEeHPywPkWRRil/4yZix+iI+LGE6KA6t+FOTsXH4IN9CJ8kNuCcWVpCtEdv8CO6BSWjAs6FqdO42jXH3EhaV4xay5garAHXScuyESqmDyv7QDIzGLydA/aW36NhppfoK5xN/Ep4SV7Irh0HcM9XdlZWstMqW80hnmD33UsJaLY4X8BvVd+tko5D5QvPsPk5Y9waM92hELbsedg1MarsobQefC3aFVjSetvMTg5a42xULE6Mo5/dO1BQ0Mz2qMTuGO8wYti9MpXOCPG3nDYjDMxPovxKXoYexrCCO+MoHPwim1s0pGZ+xqnew6g5cUG1ATr0Njc6hyzlcyC/UPob7Y12PXqY4y5At/c8d20+6gtTpwI85kTAcqDJSeCKqkz1whKEgw8g1DDfvQOjWEi9inej9RD07IdwKzjRyDYgEjv33BhYhzD7+9HnVaJLb3f4IGhqyJU+xrBSlQFNiEc+T2GY5cRG/49InVVCO4ewHXjadJe52fMxAbQ0RiELxRB76lPEJtJw6mvjnTiQzQHq1BntDmBeOwsjrc8Cy0YweC0uV7HrBNATWhHAX2dAIszp6wFTHY/D3/4AE6OfYl4/EuMnTyAsFaDfUMzeV+JmG1UIhB8Dk1vvoMjh3rw92QKyZG3EPY/i5bjZxGLT0gsqhE+9JmZTBuvjQI2ghUaZTA7FIHfH8HQrEjL7xdvBxLTqgCCm5vw5pF3cOjoZ0j+/BW666sRbv8IYxNxxCfO42T7VmjB/RgyCNzuC7XGs5j/COF60i8Xd77CCBRDgBKge3n3GA7U1KIhchxDFy7JflcJbUsfrjwQI76so1UhuK0YB2bXVmf7+VZE3v8UsbjixGewe+A7M0kyHoblGsGlGcQGOtDo9yMUeQ+nTl/CzBLRFykk+lsQ1OplmxOInXsPLaFKBPcOYtp4aJR1inB2Lj5E1mIxPshtQSQEDyZ7UOtrQPdkShZ4hIXRA6jw0fWShBuKyvPYjj6P8c4GaMHd6D43jrjg0pE/oS1cCa1erVkksu2JIH5CvGsrfJveRsy2vtF4FVwdxK6BG1luf/A1umsrUdv9tRzjKCYSU8G19QdwcvwqbiS+kLy6DwPX5UN95geMHNoGf2gfjhs6y1jxb8OhkR/MZNCIFcG31djcdABHjryFo3//AQ+NNf1iPJFxpnhb24o9e3aiues0Llwew5muZgR9tdbrev3uRXSGqxBs6sa52ATi8XGMfNCOsFaJ+u6vzKUKUmbh/iES+M9wKBxE6P+393Y/cVzZ2nj/AXXTl1xYQmq1xIWlkYW4MIoi+gLLFhKOToQsz4wQjmxha07UJFLAjmL71TuQKMaaHFBiIGM0Y5QckzlGnjFJTBKIj3HU7ZieCZGNfHpexwkktA9gjPn1oLbduJ6fdtXe1VWrq7uLNk4MvZBQffT+WOtZaz971f6oan7PLEvGCP7Q7zEqH6gK97kp1/7dXEJW5lgORlHm6wwClAfXNxDUXnCshdDnhnHQn1lcq0jPciAhl/4Thg9utRmQEI0kwUzjNDJhZbIbtVoN2qNLGRJWG0xcpobNuiUB6wmMtFTZGrwJkL58FZ215Qi2XMS8GMySjSe/vBlw1ZmjLkP+cicJ6HcR+6AbvSO3kGuJuFmGH9s7r5mNTUAl1ptUlKPWsfhYJ1hIgqruxqTRQYmMtzG4N4iKtlEs6l7LkXbw7URn7L5STWJiJ3BAF6ONJ09j5DvxxFuM/ZyE601PSyQ+YQQ8I0AJ0D2jFx+WD1dW4CLzeOLA7EDQwTEwHx41FWRIDrQ2izgCEqGBU159/iJaguWZjtpQ0tyYUatVoWVEbDLxJm82Ps66TJ7KxwfZJQAPMT34EjTrwVSk8RbAFa7PWzn6/Bg6Ghtw6CNbwKYemC2bOnkJDtzlSJ+WCZqAVSyOvYEK/yEMzdpHNc1ytL2DmHadBXK3BYygt1zytixb243OicVMkJnDV3zbTyJmC1BN3GzBm+gWpgexV9OsfsGwlDGQUCb7qzTmxzrRWP8qPpo2h2mMNLTPdu2jSfvQ5zDWVg2t9h1MLKuZPLHeVTxIlGNre8To59zkzI4RiF3cXIzv5UWA8uD6BoJWICZlcDQcFVhlSNBMRY3qJBoz0ieBlMjocFiSp1AgSOTKIJbEZFed9ZRnOmUheTO51Zkjn2wAvsButPacw5eT3+NeqvDWWEcZRsE6VqJvYquvGq3DN5FIJDL/ty6gtUI1Xh0Pb/Rih5YhZ7PBK8LyWg7F1NTODNL8CNS1omfoEia/X0TKQW4kn1sgLIpy2M/uA17lU2jzkRHwjgAlQPecbj5s37UrctGAg+RRBROuoe3avM60VTObagPy/poCwXSOkTUAxshUmex0vcmr1MgcnfkK80EmZ+ZMLva3P6xm4alS27lBPcTm4x9qF/dy1F3zqCOdXMBM/B/4ous38HsKBMXsupjeDmQCKWOAYbs1kJCpw9mvZO6rM4mpAw/xmz3fPXMDZMVhDN+azXB/Yha3hg+jQo2uUl+RVVC/M24T3zTu5chvFpNGcmEG8ckRdO0JZgZvXPMQOxh870dF6wXcsvddiZsYbq2GT+ruKmdWf+70CakiH9aAAOXBDRIIurw+xuF8TnJCluM4g1DT2QLO4XsDRGc53pwyG32aT0/exMfdrWioLDO/3xzYgWbH+qJcZdinSVTDyv29Q2vEQBKU+ZQlFiv/GtbogkW4hcqRWGS90mUVyfgn6G7dg0pNlKEhEGq2rRlxYphz17fDfvaGvQY9s2HjO4xAXgQoAbondvPhpxkI2tu5KZGDQxxtBXCOTIn0dnlFe2+AT3sJg/ZRHJHMUY49j+3B1C04cIBE8xXiA0dmeWFv7+p31e4pFjRtofrWUM7tS+g/2oSagGbwsla5G/sbnoPmNRBUI5sVb2BscRXmDJh64FZ6iSPFzP6b7fcsrrXnmzNfseXLxdtywMKwcXZ/6fAnVb2brR0+IoYNl3H7y34cbQwhYNRdhsr636Lh+S1rCwSNunLJ7rNeF+cqZ1Z/Tn1CKcRHrwhQHty4gWDep9tsR3E4mFsDMBC0N7zHZK2fgji7bPWLOjrqUjfFMZ1EIn4VFwfeQlNVmW19kT2ReW6WYSdFRXD/hp6pXIuOVTly6kVMLd2/gf7dW21rML2WI7HIIidVh3iKTiAe/RQDJ15ClbXO04lhzkDQYT87pl7lU3LwkRHwjgAlQPecbj78cwaCag2dXPpCO+cs/rLLm2dE0FGOPc+TBIIKwVx8oH63H4sfEcyUkqs+xR927hS57BwD6IkLOBT0m2vfYnHMLCSRth6SVV5nnuwAHDL424qDw7fN6W41nZ8R9AkCQfuI4LwZCNb2YirfLut1DQTNnd1B3zY0dn2CWHwGC0mxxpzg4vArpTixg/TZ2p7rcnOQSuc8uvedpD5av7MIvvKAAOXBDRIIlsG/bwiz1hSkWp9B1rtYU9PUcZwjguaQfjkp01g0gaF9FVBrObw5ZTbq9nzG+rmO4+get78rS5KwY42Ms5zsQFCt6SgnG0HEdMkVdB9ux7tj09ZLt82n0+dx5D+OYYf/1+iPZ3YRm1PFhcqRMjoCwVXci/0nOg73YHzRts5DEoH/4DDmdNLBqN/y2s9pL2/yOfHiK0bACwKUAN3zuPuwNeJuZCIdXa5RHxK02blBFGNeV2Df0LRt3ZccxQ+2YmQ+TUbyCo0Irpq7VDVaJqDPDmGfX82EEB0VEERedTtztOd76IEPMjkzZ/JB1eJr8xcTC7XuW6Y2ZjfK5eiTF/5RmOYrR9mOTslL3D2PCIo+w1z75j/Qjrf3VDjWdGf0dfJb5r46k5jStYVyZsdcsy4x05xcbqxLHO/B4fb3MTbzIOd7d6nfGTW72doR1Em56ZS1wyZ0pFnppDCWQbWxTj0Ajb4uSJ/DePdxtL87hhmxt9D1QxUUP3qt6uSjVwQoD26YQNCn7cLRCzexlF5FKhFBb9M2aPV9uGEsULOTk3i6lU9SFS0YiPwD8YUHxMHSmL/cgZC2DU29ESRSq0gnf0Ckdz+C2i4cv3zHIGVvTpkNvSOfPoPhQ5XQ6t7G6O37xlNnav4a+oX8tFHYijLLUE+m8gdrp9t+9EZ+QFJgsXAdF47ugha07S4TyQ2Ceg7lgXL46SJlT+VITB2BoHqSDqCu43PcFk+HegrzsX40BdVOZWILSSz57Ucatif5bGDxKSPgEQFKgO7Z3H346QWCPmih47gQX0RaX0Ei2me0p/qeb83NZI7OObPWryJ8BpGY+IQZkVe/g8vHBSfsR2/0J6T0NJLTV0zODHXgsgguPQau2fg46zJH1vLxQXYJYtewud7ZGYip9YYV4UFcTyxiaf4WIr3NqApkpiG91Fe4HDXiWo76rqu4J3ZRp5cxHRG4i2lixbuEl9wCJ7VBpDyAQK5XxBj222JtiMhGRGLq24LQ0b9iaiFlfBkravRHmQ2Y1g7epj5EppeR1lNYmPorjopdveoNGkZd6zU1LPtRrQFdEwtIi9e/qH5STBOrvoH6p6EgCQSxinuRE7LPvYLpZBp6ag5TF44b99QOeUffaQFF7ODSv/PrYyywPJ1QHtwggWAAoaOn8J54vYtcp1DV3IdI1ju85CtnxJ64+FkcrBJr8swnYHP7vG3jh/4vTI91G1O0AhRzrVsLeiPZ7z10fkaPOmU27k5nFtvmv0JveKdcYyHqCiIU/qNN/lxlKEKy/Z6eRaS3BSG5rsWQu+51fDR13zaiINLLXWa+7JEBo7SC5UhyUo3dEuEBEpE/IhwKmusdBXaBnQj3fiXfBensKNTUcH77uWBaUD5LID5hBDwjQAnQPaObDz/NqeFdOHr6HTQbfOWDT3sOzT2qPbmNuCQRPxtGlVija6wFXHZ+llM8B6a+x1jXfjONwW+Uc4iOCgjXYEf9KI40XyE+sOe1nRubB8hrVsRroy7bObkC9R0XMHrqxUzQIdLk5R9Rh4dy9Pu4MfAywed9XL72IZr9ijMJL+XCZuUaOrf7cz7Ym7MzZITSBoWFqb8Bb7zVbMmkVR1Cj60/Mt7Dl9WXVKCu7S+YUu/UXddAENCT32LgoOp3FdeP4trZ38GvRjA9BYLSLlm22422j65b7y109p0KJGIHl/5dlzJYwanKykdXBCgPFh0Iupb+tG/qKSzdSSBhrOfwUFk6iYU7S2RXK8kn0ohdTIXSkWxrv3yM1NKcsdvrzlKKBG1rL01PLeGOkNsrFjmqKLocZYvEHJY87II2qld51iBz0fLl0JdvlzYClACfJTRMX78j12EVkkyMztxFfi4x04g3DORPV6guD7+rtu2ZD/6FGz0vZs9WiKokJ+eV2Ut9BctZJ3yM9c4VLpsPhTLmlK7fejehG5b24Dot+4m7SFofWaB5VF/i1Vdo/rVei93Cd5DwbNsC5Vu2y6djgTLEz6R/FwH3od/kekWPh/JKKAnlwY0VCJaQoVhVRoARWH8EKAGufw1colcEjGneio3+Hd6HmBs5ggrrhfpEe2M93fN5Px5gjQiSNZOkJL7Mh4B+F5N9r+J36iXs+dLyb8Zsnh0GDgTtaPA5I8AIbGoEOBB8lsy7gu8Gf4ftG/I7vOKFyW0I1WyD5tuGpoEpl48DpDE3chjVav1eTujtI4K2Hdw50/MP2Qg8wN0f5/LP/mVnKtk7lAc5ECxZV2DFGYHSQ4ASYOkh8IxpnE4g9vHnmFxQX6R/xuTLKY5Y+x3Dx0PnMXzlO2uNmyO5voipzz5DzFrL7vjVdrGK5Mx1xIyNP9arMWy/8ykjsL4IUB7kQHB98eXSGAFG4BlGgBLgMywqi8YIMAKMwFNBgPIgB4JPBWYulBFgBJ5FBCgBPosyskyMACPACDxNBCgP5gwERUL+ZwzYB9gH2AfYB9gH2AfYBzaXD9gDzZyBoD0RnzMCjAAjsBkQEJ0Z/zECjAAjUMoIUB50ZUWaqJQBY90ZAUZg8yDA3LZ5bMmaMAKMQHEIUB7kQLA4HDkXI8AIbEAEKAFuQBVYZEaAEWAEnggByoMcCD4RnJyZEWAENhIClAA3kuwsKyPACDAC64EA5cGiA0H3bwLmF9FbHvJyzRzfTnTWRPIY39r8CVc/uYbEU3ktU3Z9Tnl+6av1ko+Uk+tbmz+Tut7852cSJm81j5FKXMMnVxNP/CnBvNV4/dFTG/JWmJ5az3b18+NECdBda+L37onIXW95qA+b1y7fFLeXnvUt158fN+AxlseOoMxXQFa73Bvm3AOeWTbYMMo5BKX+5/jR8wXxde4XPCO3vvzpudoCF4pLAAAgAElEQVSshJQHiw4E9cQ4+jq7MTS1nFVJrhvenPAREuN/QufJ85ha0QFPnRjJgyVE22tsHyrPJVGx90lDKLaYp5aP4lFsRaQcbvDegFyJoH3rFuzov4ln4jsBntqQF9XWuV39AjhRAnTXmvi9eyJy1xsnUN70FAjqsxjvO4mTQ1NYEbX+Arht6kDQC56bJBCk/kec2OMlaR/cL3jEbZ3502OtbskoDxYdCLoVXuiet0CQlFJUJ7aAsdbKEg4ECYbrdckN3huSvzBOWUIW1YaySgGwzu3qF8CJEqCblsXd8xYI0rI9BYI00y+A26YOBL3guUkCQepK63LtBb91qci9kKLiCveinvLddebPJ5CW8mDRgaDzyUI+IfRdQvzmx+hs2YuayhD2hN/EQHQW6uNBymCvnbuE4c5XsKdmO2r2hNE+EEUireZwydOG6sROjeLrwbfxcn01quoO4Gj/JdxOrkoo7HnuY2robTTXbIEv2IDWE5lRSz01jSsDbyLcWIeqqjo0tvwBQ5NzlnwwnrzfQd9oBF90HkBdXRPa+idwT4lmAa9I/zWcu/q3nPoCOtLz3+B89xE0/7YOlcEaNDS1EH3Fp4qiGGhvQWOd0K0R4fYz+PL2cp5pxUJ57HjosPQam8T1C++gZc8O1BgYRpBIp5CInsHRA7tRE9qLcMd5TLniqgNZDd6Dfp4xBZCeRdRun/CbOPPlLevzTd78R5Qzh8nz3Whr/g3qKn+FmoZ9CLd/iKj1qSeJT9/nmLz2IY4dqEdVVT0OHO3Pxl2UNfQHtOTyGcsn5MnKFIY6mlGjaQg2vIYTamQbj5GaueKwc0vneUzOP6AlOK/zYqJjZeo8Tnb+CeOJR7Z8y5ga6kZn37i5NMJTGyqEvygzu12ZPNCP0YlP0dm0G3WNr6M/dhd6IRvkxOkB5ifPo7OlEXVV1ahrfBWdQ99g3uIHm5pFnFICdC8iR/u5PIWbw6L9hFBZs5f4lDdOcPImYPr0izh1eRyDHf+OeqHzgePot/m92X7liGBO3Ar7V05buYGg30f843fRJnmhpfNvuHruNTI1XLhOo+iCbagQn7kIqHglr01EvgIy5sST1KkCwdf+gqs5fUDkEf77V3S3HcRv66oQrHkRTfZ+8GEcw3/oRPfId7C3WOh3EfvgP9D5QUz2Nya3DnW+avULT84XgNP/FA9+gRvXLxj9WKhmNw4cPYNoIoV0IoL+owdQV7MDe8InMDR1X/ZJpH1smn5B4dOP0cmv8MGxAyYH0fZouMZaecqdP0VRBeMS4orrcUl5sOhAUHXKrWMLACQJBrahqu4V9AxfxkT0U5wO10LTXkTPjX8Zspt5/AgE6xDu+RvGJyIYOf0KarQt2NHzLR4aqRShHsHY8mM5NbwF5YGtCIXfx0j0GqIj7yNcU46g9TFve55/YSY6iPaGIHxVYfSc+xjRmRSQmsJA0zZoNa/g9EgEsVgEF08dQpVWiYNDt81g0Gjsoq4KbG88ghMnfo+Tn/3oEpDJ+rRyBHfl1le/dwUdoXIEG7twMTph1Dl6pg0hbQtqu/4up3n+jq7aCoTaPsTliRhiE5dwtm0ntOArGHZ07jbzrxTKY8fDDcOruHz2CEJaOXYd2IfdTSdxYTyK8Qsn0Rj0o6JtFItG8EvKIQ3ek36eMV3GZNcL8IeO4OzlrxGLfS1lrMSh4RnDBp78R19ApKMOWnAfui4KO08gOvpntIa2QKvtxqRYbqD8tTyAYO0RnI3cxO34VxL3Qxj8zpiAA9I/YvTYLvirDuGUUZb0V/8uHBv9MfMAYTMNHs0gOtiOBr8fVeH3cO78Vcw8eoxU/AM0BctRY/jwBGLRT3Cq+TlowTCGplP2EmznhTDJtW6LPHlaNsjXhgrVlXJtV6ZNtiAQfB6Nb7yFE8e68dlsorANXHFKITH6e4T8z6H51CeICtsZbb0CoWOf2x4WbRCt8ZQSoHt24vcSv0BlNerCpzA8flXKtQXajl7ceGjzqQKc4ORNFQgK/HYifPpTRGOKE7dh3+A/zWDBqL8MZa1jWHbFzZt/udrKlWOSiA80I6jtRNvZS5gQXNn1EioD5dCsNYK6N5/20oYK8pmLlTzZxIOMrnhmPfnLfqgMWuBX2JXTB1ZxL3ICIW0bGrs+RjQWQyz6Oc607oSmvYCuSbGMypwe1Hb3I/4oU48+N4yD/q04OPwTdDGAkPgcx0JBVDW/Z/Ydsj/1h36PUeuBluJSqA0rf6uEo98WPBgy+8WJyx+iTXDlrn04sPsAOi9cxrXx8+hs3AZfxRsYWxSDL6R9bJp+QeEj2mMd2s5+hfjtm4gYfaWtPeJBETzlzp+e4hJq5nW4pjy4voGg5eympKZzl1lrpRQRWUGQSKb/hOGDW23TuMTJJAlmOnEjE1Ymu1Gr1aA9upTtmFlTWGnMj7QiSOSDvoiJzt3Qgq0YmU9bjd23/SRiRsCQC3EpIynPqW8a82OdaKx/FR9NmyGuURrR18SkDl2TSasy/V4MH5w8jZHvzADa+kGeFM7jAUP9Ngb3BmyNWxQu1zBUd2PS3rmVyaDc0eC96Weu8SxDQUwNO5ejuusb+UAgfEM8JXejd+QWRKjkxX/0+TF0NDbg0Ee3bQF8GnPDYfitTszdfjA6pHIZCK9icewNVGi70TmxaCvLJFtt65uI5vIRB05CjwRGWqpsgahpSH35KjpryxFsuYj5TJ+QMXdBTNYSCJaR+nVnGypYlxCLBJiWTfzY3nnNfLAR6nqyAbJGmPXFUbRVlKO28yqWLTyInBl0ijqjBOheiIf2A28+5eQE5cOqI1bXtgdDQyDiY5IDjUBQ/F6kf5ntx2krN/31+YtoCQawu38qM2qlz2GsrRo+1YY8+bS3NlSYz1yklJg4+wViE08yuuDpUp3isUL1jXW8hPpD/4Vpy38Bpw/oWImdxHafnfMfYnrwJWgq0JJYa7XvYGJZzXqJtaFiAKAcW9sjVltziOqhDZtYK/9z40Epi68abWNzkvd0rETfxFZLZtI+HP64kfuFAu1R2qd4nqL86TEucRh5fS4oD65vIKgCBiWrw0EUyMoJVSIKDnEyN+cWWY0FvmUycCB5sjosWoeqW8fDyW5U+2RASQlXJcs60vpkAqKvM1sayYUZxCdH0LUnaAW+plP5EahrRc/QJUx+v4iUjUScZZhXhfMQ+Vz1csOE5Cvw5OeUzV0/RaBWJ+bMlLlSHU1gN1p7zuHLye9xL+XcauEkMZXVTQ/1m450cgEz8X/gi67fZAeCVsCr0icx2VUHnxHk3TM3HFUcxvCtWSQSCfk/i1vDh1FhkaLKaztSP6DXVlJ7fS5GL4jJWgJBEmQLGextqGBdIkM21u42sRQUYWEOG9AOWHU21WgdvmnDO4HErQtorVBt3V722s8pAbqXQNqBa/uh2JM8qmBie4qXeW0PCkRGhYW8T+snZWYFhqpuOP2L1m0lc5youunuYHKfymCVYa/TWxsqzGdW4ZkTionxC7GJJxndlrxkqrHOvNRnJZYn6SQWZuKY/KILe/yZARE8/BY9OwKZh17joTyYmYkx2qUfFa0XcMviHcE/NzHcWg1fFm/J+jy0YacPuPkswVAWnTdfTpxF5o3UL6gYJbs9ZuKEezIoLoanKH/Sawk2SFyibq/jkfLgBgkEA9aoooWFo2FShyYAy7Ta3kHHk5ooy+HgRjqXuqxK1QmtT96nDUJfxu0v+3G0MYSA8e3mMlTW/xYNz2+xAkFgFcn4J+hu3YNKTXzLUEMg1EzWEap61bFQHiKfAytVBsHIuE3yFQoEvejnGVNAT97Ex92taKgsM79zHdiBZtvaPoetlBpZwckqkrcvof9oE2oCmlGOVrkb+xues01rST139CPuiDXt+s+ZG45yfnObPtBYAmWN2JhyB7B30D5KKdLb63MIYhWWHxN30s4K2HLZgPhF/rqESNk+Y+pGgwYvNqCBoNIl9/c8Cz5MWKjlPqEE6J6S2IXgZOZR8irdSR5VMOEE6sPu+LnxkpwaFuW6llnYv3LVpUQ1j2pESOmV+dWe3zwvVKfXNlSIzzIyWGcebOJNxsdZeFp12E881CeS68lb+LL/GBprgiaHaZWo39+A5zVbIIgVxPt/DXNW4TEexfux25rdUvbN3Q58dMDFJmehNmxiorjLzWepX5uF581H/BEbtl9Q7S6X7wvc5uRrlHLbJzdPEf6UPlUwLrHZd71OKQ9u3EDw4Tfoqi6Tw+TUoQngLh2YAtTh4IZh1isQfITE8CsI+sR6kU8Qi89gISm2zVDZlCRi5CSBePRTDJx4CVWOdZMqDT3mykPwcCUxNzlIPhqoOBq8R/08Y2rTLZ1EIn4VFwfeQlNVmbUOy2ErK7lTDz1xAYeCfnNdZiyOmYUk0lnvQJN6ZgWC9tGMeTMQrO3FlG0tj1VtvhMHTorY7R2BykzxVvddjq6YrOZ4t5sTk5yvYHK0IVudrnWJEUtSrvUg5SRObzaguKgO6N/QM+W+JMImYdGnlADdCyJ2cW0/Sl6lO8mjCia+QH3YvFZlqExkRIDWT8qkgaEqhT5ouNeVSW2eUb3U70omKSuVQSVzcIYMBD23oVx8ZhWeOaGYGL8Q2T3JuI6BoD6D4UOV8BnrkycQn1lAUmxycpFDnx7EXiP4+8kICv3WWtNMu6jtuZ6Zms9o7u0sRxt2+p+bzxIMZW158zn028j9Qq5AUPm+mDlclJxbDE9R/qTXGdM68c7cX68zyoMbJBAsg3/fEGat2TNdPkVVoWVEvLSXOjQFWD6B+Q9haNa+V+sRZocOwa+9hEGxjs9z0ELrk+ZxNAgpAx3GfzSF/t3lckRwFfdi/4mOwz0YNxbhynIkyfkPDmPO0lm5gJc8RD5X0qQYifJJPnq9Zv1EpHAT/TsKB9fGusiO4+geV+tSbPL4wxieSztHbxUcjuBEkRgd2pf2V+ublF7UHwzbBOSaPTkyov0a/XG5ecSocxWL4z043P4+xmZy7Ph14ARA2tzpw2L4YBpD+yrg9kQoqvKOiVorK0Fx+JiyQYE2JNalFsDfWyDo1QaZDk+9b9HsHMuda9MEDotX0H24He+OTT/xexkpAVpu5Dgh7cC1/Sg9VRBH8qjyiC9QgjevK7BvaNq2DlX6K1m7bI00kDK9+pdZl5JXCZh9NO2QQybVhjz5tJc2tFIEB2Z82sLEUIPYxJOM2X6YjYjH+gy7+DNTvkZBqq8iD4LGWvFfYeuRTry1Y6vT5+X6bbqhBPocxruPo/3dMcy4TCB454unOSLopd9TeD5r/YIKBHP4vmyPxfMU7XM9xiWuDvlkNykPbphA0KftwtELN7GUXkUqEUGv2AFc34cbxoI6SsJyZKeiBQORfyC+8AD6/CUcFzt4m/oQTaxATy9jOtJn7OQMHb9kLtb3GLRkB0zSKA6CljJoDeiaWEDaWCv1AyK9+xEU041yNMocPQmgruNz3BYjhnoK87F+NNHF2ja7F85D8HDtyKhTigpIPnpdhH5eA0HIp2mt7m2M3r5vjOKl5q+hX9hZ7rCjnagJiV0P9eRWjvquq7gnnsYtO4tpYtUJSj19WxA6+ldMLaQg3vgeFbaxbQCydkU39SEyvYy0nsLC1F9xVPiRtWPdZhh1KkfaKsJnEIn9EwvpR5i/3GHsJmzqjSCRWkU6KX1B24Xjl+/YggBViIiAzBGGfJio9VUV4UFcTyxiaf4WIr3NqArYlh9I++dtQx7qglpzZmtX2cGFVxsAoDg9mpe7jfejN/IDkqKtL1zHhaO7oAVtu7ltEK31lBKge37SDlzbDwk6aFtRBTvajOpoVEesrn3QQsdxIb6ItL6CRFTwUgD1Pd8am6TMNmSbGqa4efSvbFspIclR7rz3h17Hucn/RcriJHsbSnvyaS9tqDCfEfnEpSebeJMxyw/dXlXkpT7DLn5o9d2YuCcGHNJITl8x+iqfjwSCkBtpygMI+OVAhKVmZvdxU+8VTCfT0FNzmLpw3OAQaze5lV6eeGjDTg4lfm4UQ/3aLDtvPoePe+v3ns1+gbTHqTmkrPZYnnnTh/VmirXyVJFxCbXzOlxTHtwggWAAoaOn8J543YZca1fV3IeItY2eOrR4bcBZHKwSa83UOpbHSE2PoaupWpbhgy+wE+HerzKvpTAae+GnlOyASVrG0SDEepFvMXBQyazqG8W1s7+D3xqNeoBE5I8Ih+SaEqEflSvL8IXyEDxcScweQKkKSD7auRWjn2dMxSsTvkJveKdcTynWYAQRCv/RsrOTjJTMRA/9Pm4MvIwqY72lKuN9XL72IZr96klP6ulvwBtvNVtptapD6Ilk3ntpbHTIkqkCdW1/sb1rUclhPyYRPxs2y1Wjzfq/MD3WbUx1i0ZorgVtQa+jPnsZ4rwwJuK9ZYnL9nIrUN9xAaOnXrQeNhTp5m9DXurKbler8X7ssAJsKb8nG4i0LjilZxHpbUFIru80cKp7HR9Z7zCjGK3tmhKge27SDlzbD+0wSR5VMGkz1IfN6104evodNBt85YNPew7NPZSXbIGgG24e/MusSz0MKQFzHNM/4XLXflvbeBl/PtuBWrutPdTp7sO0DRXiMxcZPdlENCEv7c7FD2mVnupbRfLGB7LfsbXxy1dwtnkrmdUSI91il7yWdd+s2g2T3Wj76Lr1XlUqojvW+TjUzWepX5u1OP2W5CM+7qnfeyb7BRUIBtHwxvHc7VFAUhRPZfOnLt5zWSguyTb0E9+hPFh0IPjEkhRTgJ7C0p0EEsa6Lw8FiF1bd5bILlyxi+kOEok5LJFdqR5KLCKJx/qUbmuRq5g8RWiQP4tH/fIXYvv1MVJLc8au0TtLKfeRMltq91Ox1uhunjLsRJaW9d011/O4FqhkuiPXebomIjdNGbJ0ED4pdgJm+SXJ7rhU9SeQVZ5KJ8vN+btKp3wmZxvyWFdB+QvZwBLIsBWVW08t4Y7AKaecKv/ajpQA15b76aY2dfbqY+vpX7n0UjbM1zZEp+jFp5Vf5dFP+eZaODCX6PR+QRlz4EnL8XJdsC4vhcg0FiYFbOAoUmGdhy8c6Z/GxUbsF1QgaI7Ye2mPRfGU8I8s/lxvvPLblPLgxgoE8+vGvzICHhGwB4Iui208lsLJNh4ClAA3ngYsMSPACDwtBJwjn0+rll++XMqDHAj+8jZhCX52BDgQ/Nkhf0YqpAT4jIjFYjACjMAzgAAHgjYjMFnawODTTYjAKpIz1xEzNnJkbcvehPqySgoB5jaFBB8ZAUaAIqAnZ/Bt7Btjgyn9bTNdUx7kEcHNZF3WhRFgBPIiQAkwb2L+kRFgBBiBTYgA5UEOBDehkVklRoARcEeAEqB7Kr7LCDACjMDmRYDyIAeCm9fWrBkjwAgQBCgBkp/5khFgBBiBTY8A5UEOBDe9yVlBRoARUAhQAlT3+cgIMAKMQKkgQHmQA8FSsTzryQgwAqAEyJAwAowAI1BqCFAe5ECw1DyA9WUEShgBSoAlDAWrzggwAiWKAOVBDgRL1BFYbUagFBGgBPhUMfD8Ga3CUohvYV/95BoS6/K2o8dIJa7hk6uJIr/cU1heTsEIMALPLgKUBzkQfHZtxZIxAozAOiNACXCdi3cWt26B4BKi7TWZb0c7a1n71UoE7Vu3YEf/TfB3ddYOH+dgBDY6ApQHORDc6BZl+RkBRsAzApQAPWcsJuG6BYILGGutXL9AcHkMrWVlHAgWY1POwwhsAgQoD3IguAmMyiowAoyANwQoAebMlZ5FdOBNhBvrUFVVh8bwmzjz5S0kjalZHStT53Gy808YTzyyFbGMqaFudPaNm1O4KhA8NYqvB9/Gy/XVqKo7gKP9l3A7uZrJl7cuUebbaK7ZAl+wAa0nujE0tQw9MY6+zn6MTnyKzqbdqGt8Hf2xu9DxAPOTf0V320H8tq4KwZoX0RR+EwPRWaRFjStTGOpoRo2mIdjwGk6cPI+pFaGUjvT8NxjqfBWNdULORrR0nsfk/IOMnPosxvtOZvTL/MJnjAAjsIEQoDzIgeAGMh6LyggwAk+GACVA99KWMdn1AvyhIzh7+WvEYl/j8tkjCGmVODQ8Ax2PsTx2BGW+BvTHU7YiyMidEQhuQXlgK0Lh9zESvYboyPsI15QjuG8Q3z0SAVihulKYiQ6ivSEIX1UYPec+RnQmBfObqFsQCD6Pxjfewolj3fgskcK9yAmEtG1o7PoY0VgMsejnONO6E5r2Aroml4FHM4gOtqPB70dV+D2cO38VM490pBOf41goiKrm93AxOoFY9FOcDtfCH/o9RhMyGDT0KVu/kUkbcnzKCDACPx8ClAc5EPz5sOeaGAFG4BdGgBKgqzhGwFOO6q5v8FAl0O8i9kE3ekduIbWmQLAMWm03Jo1RN1GYjpXJbtRqNWiPLgEF6xJ5SIAJyEDQj+2d17BiyZjAWMdLqD/0X5i2bSrR54Zx0G+bCqZTw/ocxtqqodW+g4ll20jlyt/RVVuOre2RTB2qLj4yAozAhkWA8iAHghvWlCw4I8AIrBUBSoCu+WVg5AvsRmvPOXw5+T3upezbKtYyIkgCSlGhsVmjzAw0C9YlMuQKBCvROrbgqoJxM53Ewkwck190YU++QNCQx4+K1gu4lUggYf3fxHBrNXzV3Zh8aIssc9fIvzACjMAGQIDyIAeCG8BoLCIjwAisDwKUAHOVqidv4uPuVjRUlhkvofYFdqC5/UNEjWnStQSCgexNGXKKtax1DMtijDBvXULCXIEgnZoWZd3Cl/3H0FgTNOXWKlG/vwHPa3lGBI0RQp+Z3udyLDuCsWV7IJwLNb7PCDACGwEByoMcCG4Eq7GMjAAjsC4IUAIsWGg6iUT8Ki4OvIWmqjJoO3px4+HqGtYIugSCD79BV3VZ9pSra11iJM5jIKjPYPhQJXzBfei6OIH4zAKSaR2gU8E5rmt7rsO+9aUgNpyAEWAENiQClAc5ENyQZmShGQFGoBgEKAG6laHfi+GDjuPoHp+zvXA5hXh/A3z+MIbn0nKNnlznpwp5NIX+3eWZzRRy5M+/bwiz1syqjkfxfuzWqtAykoCXujwHgkaA53eubYSqL8+IoH4bg3sD0Hb3I25sYJEK6XMY7z6O9nfHMMMDgsrKfGQENjwClAc5ENzwJmUFGAFGwCsClABd88mRNa3ubYzevo80HiM1fw39TdusYElfHEVbhR8V4UFcTyxiaf4WIr3NqApsyQoEfdouHL1wE0vpVaQSEfSKcur7cCOlAx7qApKY7KqDr6IFA5F/IL7wQAaiZGrYGGn0Q6vvxsQ9MbaXRnL6ilGfz2cLBOWIZEX4DCKxf2IhnbZ2Gzf1XsF0Mg09NYepC8eNHcj7Bv9pjhTy62Nc3YVvMgIbDQHKgxwIbjQLsryMACNQNAKUAN0LEq9T+Qq94Z0IWGvmggiF/4iIepUKHiBxuduYLhZl+nwVqO+4gNFTL5JAMIDQ0VN4r/k5aEa6MlQ199nK8VKXjlT8LA5WifWKAewdvI3VeD92ZL2+ZhXJGx/IdEImDYFQC3ovX8HZ5q3IjEwmET8bRpXmg097CYPTYm/0AyQif0Q4JNcWClkDu9H20XX57kSxVfkm+nfw62PcfYbvMgIbBwHKgxwIbhzbsaSMACPwhAhQAsxf3GOkluaMXbR3llK2aWJbLrEzN5FAzt9VUj2FpTsJJBaS5oud1X3r6LGuO0sQA4l5/6RMibxpdaSTd7PlVnIm7prrC0lF4lU0h34z6Hg9DUnCl4wAI/CMI0B5kAPBZ9xgLB4jwAisHwKUANev5BIoSb+Lyb5X8Ts1VVwCKrOKjMBmRIDyIAeCm9HKrBMjwAi4IkAJ0DUR38yBwAPc/XGu8Ihkjtx8mxFgBJ4NBCgPciD4bNiFpWAEGIGfAQFKgD9DlVwFI8AIMALPFAKUBzkQfKbMw8IwAozA00SAEuDTrIvLZgQYAUbgWUSA8iAHgs+ilVgmRoAReCoIUAJ8KpVwoYwAI8AIPMMIUB7kQPAZNhaLxggwAuuLACXA9S2dS2MEGAFG4NlHgPJgzkBQJOR/xoB9gH2AfYB9gH2AfYB9YHP5gD1czRkI2hPxOSPACDACmwEB0ZnxHyPACDACpYwA5UFXVqSJShkw1p0RYAQ2DwLMbZvHlqwJI8AIFIcA5UEOBIvDkXMxAozABkSAEuAGVIFFZgQYAUbgiRCgPLhhA8HHrt/afCJsSjzzYyyPHUFZ1vdLbbAY3xoNYEf/TTy23X7y0xTi/Q3wlR3B2PL6lvzksj1ZCaafVqJ1bOHJCuLc64IAJcB1KdRRyALGWisz3xt2/KYuaFvbiP4vZd7Rj/gTNlk99ROufnINiUKfzlPw5T0+RipxDZ9cTbh/EjBvXg8/Lo+htazsKXCgh7qfdhJ9BYmro7iaePS0a8qUv5nxzGj5zJ1RHuRA8Jkz0S8lEO2cXOR4aoHgIyTG/4TOk+cxtbIuvYGL8L/MLT0xjr7ObgxNLf8yAnCtDgQoATp+XJeLYgLBjej/6xUILiHaXlMgcF6DYVYiaN+65ekFaps2cNGxEn0TW/MNBKzBDJ6Tblo8PSPwiySkPMiB4C9ihmex0l8yEHwW8WCZNiMClADXX8diAsH1l+Lpl7hegaAXvNagzdMOLJ52+WtQdX2TeuD/9a3QLG3T4vk0wFq/MikPPlEgKIb0Y0N/QEtjHaqq6tDY8g4u3LiLtJI3PYfJ891oa/4N6ip/hZqGfQi3f4ho4oFMIZ+E+y4hfvNjdLbsRU1lCHvCb2IgOpspR5VnO5pTbi/i1OVxDHb8O+qrqlF34Dj6v7yFpGNQ6QHmJ8+js6URdSJN46voHPoG82lHIlvJAPRZjPe9g77RCL7oPIC6uia09U/gnq4jPf8NhjpfRWNdNarqGtHSeR6T81Kfh3EM/6ET3SPfwTG4rt9F7IP/QOcHMdwzqi1QjhDBGEnqx+jEp+hs2o26xtfRH7sLPWqx6VIAACAASURBVD2L6MCbCCvMw2/iDNVZ4O6wyx8wNDnnxFO/j/jH76LtwG7UhPaipfNvuHruNW9Tw6dG8fXg23i5XmBwAEf7L+F2clVIjUe3P0O32wjYyhSGTv4B/dE5lykbMiKi8L88hZvD76BlTwiVNXuJ7wiTiWmgGLHHBdy4J9FX5azVjoY3mDY6330Ezb+tQ2WwBg1NLWgfiCJh+Y6OdCKKgfYWyx/C7Wfw5e1lS0fniKB3f9eTN/Fx9xEcEH5W/+/oGIxgcrQfnX3j6zSF5nT5UrmiBJhbb8Ebf0V320H8tq4KwZoX0eTCSxk7hRDa8wo6hy/h3GtkarhgWyvW/4FM/WvxkwdIRD9Ee1hxYgvaz6g2DMBoqyfRNz5r+bFo2ytT53Gy808YN6YOVSDYjctff4SOl19AVVU9Dhztd/g/kK+uZUwNvY3mmi3wBRvQesIcOc/JfShgEyF3RzNqNA3BhtdwwpphKMy37n6wimT8E3S37UddzQ7saXkHw1f/gtfI1LCemsYVOye3uPCtIXuBfsgLtzsEXQOf5JXRtG1Hcwia71doaH0TJ4emsOKoy7zIb5sC+qEQntTHlADCT7oJ9xXgfpHVSz+oqiixI+XB4gPB9G0MHayEVvMKTo9EEItFcLFrH4LabnROLELXFxDpqIMW3Ieui+L3CURH/4zW0BZotd2YNKYAJZkEtqGq7hX0DF/GRPRTnA7XQtNeRM+Nf+U0jxkIbkEguBPh058iGotg5PQrqNG2Yd/gP2Ug9gCJ0d8j5H8Ozac+QVTIMPI+wjUVCB373Nahk2qMKdAtKA9UYHvjEZw48Xuc/GwGDxOf41goiKrm93AxOoGYlNUf+j1GjeDWnObQdvcj/igTaOpzwzjo34qDwz9BhwgeCpUDZPR7Ho1vvIUTx7rxWeIuJrtegD90BGcvf41Y7GtcPnsEIa0Sh4ZnTNJO/4jRY7vgrzqEUwbuEhf/Lhwb/VEGg0nEB5oR1Hai7ewlTBi2ewmVgXJo+aYGLFy2IhR+HyPRaxLPcgT3DeI7ofPKNXRuL8PW9oiNSFaxOPYGKrSXMDj9kIAtLqUfqDWCsp5AZTXqwqcwPH5V1rMF2o5e3HgosNWRnh7CwWA5agxZhD0+RlfjNmi172BieRWw5F2rHQH93hV0hMoRbOwybR2LYPRMG0LaFtR2/d3UbeXv6KqtQKjtQ1yeiCE2cQln23ZCC76CYbnOxrlG0KO/p6Yw0LQNmrKz4Wc7EQxsWb8pNBcrlMItSoDuOq/iXuQEQto2NHZ9jGgshlj0c5xp3QlNewFdk3KaP8tOwv+qEQj4bXby0taK8X/RbIrxEx0rk92o9au2H8PE5Q/RJnz90AXzIcN1lIaOGEmZywMIhmQfoLg7eAiD34kwolBdKcxEB9HeEISvKoyecx8jOpPKwX2pwjZ5NIPoYDsa/H5Uhd/DufNXMfPIG99m+4GOVPwDNAXLZfueQPRiFxorgwhotjWCygb2fvDUIVRplTg4dFvyrZd+aLkwt2cJuUY+ySmjjkczUQy274Hf9zzCPR/hfHTGOZgh63bvl5Ie+lkveFIfUwrTUWMP3O+pH1Tll96R8mCRgaBaT7ADHdHFzFPjoyn0767A9vavsDw/ho7GBhz66Hbmd6QxNxyG3wo2pCPbyVXQhxE42Rqbi52UQ1qdspHGbEza1jcRXdGhL46iraIctZ1XsWzFZZKctBq0R5dcShYDTTfRv6MMvu0nEVNr1vQ5jLVVZ4IMldMIBspl4KNjJXYS23116JpMyhQPMT34ErSKNzC2uCqU81COCgT92N55LRNQGXKVo7rrG1jhlDHa2I3ekVtIQQVcMhhXMoLgMn8RLcEAdvdPZRq7lMtn2cbKnDmRuGQCefETxXMF8f5fZ/Q1kpg6+/cNYdayQ6ZY90CwzPbAINJS35Fri7a/jagI+ow/HY/i/djt34H2yOIT2DGN+bFONNa/io/sgav+E4YPbrU6edMH7bYWAWQMH5w8jZHvzIcY10Awr7+nMT/SiqD2a/THbc/khp9xICgNXfSBEqBrQXoCYx0vof7Qf2Ha5q9OXnK3k8k5muUjuqe25hYIFvJ/9/pR0E9kXdXdmDQeqAQCq7gXO4uTvZ/ju5QOrCUQJL5s1q/40ENdoJ18Du7zZBNky+6Rb7P8QE9gpKUKzod6ya8+1TcpG9geDkRB+iImOndDC7ZiZD7trR8qyO1ZEmYeoIkN3P00v4xidqXgZkHRNRqbNJ39kqd+1hOeuWSgPlKI++fkwEP+ftAN0VK5R3mwyEAwicmuOvhkwFUYPB3p5AJm4v/AF12/yQ4E1UiQKsiViNSP5tGtEzaCEmPBq+ic/z+5+LUarcM3kUgkMv+3LqC1oswZUNmLlwFPWesYrCX+xiJkPypaL+CWvazETQy3VsOniPXht+jZEciUrd/G4N4gKtpGsSg6FY/lOAMIKZwK1gK70dpzDl9Ofo97KfuWPdlAKg5j+NZsRt/ELG4NH0aFEaAqXBrQH0/ZtFbBPb1vS+JGVuJnQyeFpwzGtGq0jZnTwGZnuB0tI7l28rl3hA78KVE9/AZd1XTk0SarOH0SOzqKSiO5MIP45Ai69gQznbzxoOFHoK4VPUOXMPn9IkQ/av9z2pHoqRI6/J2Snkok29w67NJUJZbikRKgJwzSSSzMxDH5RRf2+FUQINtalj3s93O1KXqf+IWb31L/dwmgTF0K+YkKZipQ13oKQ19O4vt7KdvDukswZRRMO2m3IE8klPobfJg2O2Rfnrpc9HC2mRwWcrWJi+we+TarFiOfy6YTx/1cbVXHw8luVPvEYMM9b/1QQW7PkjATCObtP73IKAZEqH3d6lOBoP0tCMqXC/SzDtxsZTvu55KB6FCQ+730g2qgxiZLCZ1SHiwyECSGcQVwFcnbl9B/tAk1Ac34XJ1WuRv7G56zTT8SAlTlODpGddN5NMkiO2jJkMicfMLJ/VkYZ6BhK98gYvKaFEOm3GVlXn0iR8SMIPmxOUJlH330WE4u/cw1Qa1oqCwzPwEY2IFma92ltEvOzwOKBvyTOULpMvKXq04LGTdcxI+043IEv3IkT42IWoXZT4gf0PKMpIQkPPiIKVeRdtSXcfvLfhxtDCFg4FmGyvrfouF5+6icXPPSugeVmvANDYFQs2MdYcYfxetjiJ4KArsurrqLhDJvVuChCuGjFwQoAebKoydv4cv+Y2isCZrtTKtE/f4GPK+mBQ0fD1gPBZly7HaSswEF2xrxC1cfIP7vmkZIYa8/I5XjTK5ZbG2ogmb4dhCh5o7Mumy7P1oZSf056yG6FKorZyCYze0FbSJkpbIb115421LUONGnB7FX2dr+k4G75BRpA23voGPkWCTPtHvv/VB+brcLoc4J1uq2HQNPMgpuovZVhTmP2X2EypcbY9HP3veCZ04ZSLxh188pnrzy0g+W9uu8KA8WGQjan/rsQyBi5G8RS6nH0BMXcCjoN9dYxeKYWUginWVoD47samjV0ChZ2J/EFmUg+G/omcq91tC1eHtjVwmk89X2XM9Mp6rfyNEkEfE0+JMxTeq31rVliKpQOdkNjlSSTiIRv4qLA2+hqapMrp2bN99hVtuLKdsaRWdO1XBzYUfv23K74SJ+znpCk8GfP4zh/40bI6LONYO2Mo1T4geSvJyBOpHbeJJUo5D28tJI3r1vjsy5yevJjo+QGH4FQZ9YI/YJYvEZLCTFFihCSFa1wu8TiEc/xcCJl1ClbcGOnm+N6ftMh+AxECTTz1YVKDTSk0nJZ7kRoATomlKfwfChSviM9c0TiM8sICk2CDk6oFy+YLcT8VmrMsVTqq0V4f/r4idpJBP/g+jFAZxoqs6sy3boqYSmukiZsx5MpP5Zs0U56nJpU67c58kmGX613nXqqb0rHW1HVwwU15XL19Pk8gHVP4kHbxUIrqEfcuV2ez+r5CR+o247ZPci43oEggX0c8ikBKV4Uh9T6YgOBblfps/bD6qyS/NIebDIQFB29HTxv1qPsfdDfDsqXk7sXD8FyNEy6wnZiyO7G8okiwrsG5q2TWvI8tXaDOMppNy5Fs5YwnEF3Yfb8e7YtPuLkd0CCDkC4FwzYixoxHj3cbS/O4YZNUtrkPSvsPVIJ97asdVZv8dy3MjQWH/WcRzd4/adtxJDEXTNrZijfXR9mVg7ON6Dw+3vY2zmAcxANQd2lm1ccJcBmnOtn5oKrnJM/ZrrRn6FAyf+D/ZoO9EZu+9SoLpF/MBLICg7Qvo0btYbxN7B29CLtqMkEjXdr8Q01sCWy1Egsa7qP9FxuAfjYu2n+lMYHRzGnG7vEDwGgpCjSP5DGJq17T131K0q4+NaEaAE6Jrf6LT8meUdRiLl52pq2JudvLW1Ivy/WD8x1hS/jcPdV8ylKhIAk2/khjbDh7eQDV85uNvVTwMItlzEvJe6vAaCnmziEgh65NssP5D53LlO+YDEhGKAR5gdOgS/7B9NH8jfD62KtcV5ud16F4dNVOI36hdH0OVNxuJHBCH7k/z6PfaEp+JLsn6fcl9B7r+JH8S6/AL9oIKrFI+UB4sMBDO7KisODmByPgU9fR/fXfy/CGnb8crIT3hgrJEoR33XVdwTT9PpZUxH+tAUFNPEOZ6ElUUcjqxuOo8mcfmghY7jQnwRafFW9KgoP4D6nm9hrH6zdi7vR2/kByTTq0gtXMeFo7ugWTvbnOUaV24BhFhQLXcSNvVewXQyDT01h6kLx43dhZmdyqIEuQ6nPICAn+6U9VaOWyAI+VSs1b2N0dv3jRHW1Pw19IsdpnKnsrXbtakPkellpPUUFqb+iqNiV6Da2Stx8Ydex7nJ/0VKT2E+1k9skwuXMvi0XTh64SaWBJ6JCHpF/fV9uGFfIGc8FDyH8kA5HCOiLsVa01lqrYsMpvKOCFr2qMLBgb9jPrWKdPL/4eKxXdAq2jAyl5ZT1mRq2Mq3DbntKEc1tAZ0TSwgLXYoJ39ApHc/gmIqTY6CmKPeAdR1fI7bYsTQwjGzEce0o1pT44W4AX35Kjpr5Y7l2P/gdvwrczeyrW5XGPlmQQQoAbpmMEa4/dDquzFhvIoojeT0FcPPfdZGAcWBYtf4f5kcmLqDWP8Bh4/AU1sjfuHJ/4v1Eznarb2AjtFbxkinruRWHadar1bxCgavz2JpaQ7fRfqwryqIcsrdvi0IHf0b4kuPIF4nFhVtRNuDnhtiDZaHutRId0ULBiL/QHzhgZxWVX2EtJBHm6jZiYrwGURi/8RCOr0G3rZ7g+Rpsbv63CTmU2kornX4wPwlHBfc2tSHaGIFutXPlSN0/BLmxUCel37IA7fbpTPPid+oBKT/1L3ICDVKvR3hgf9GLC54L/vPvV9SbwjJ1896xFOuu64ID+J6YhFL87cQ6W1GleONCaoPzc39nvrBbPVK5g7lwaIDQbExI534b3SJKQVjnYkPvsC/4dj5m+Z7/PT7uDHwMqqMtVNi/UDQeOXI5WsfotmvRqO8ObKbdUyH3IWjp99Bc5VcL6c9h+aer5yvhUnPItLbgpBcp2is46p7HR9N3beNJJIaXANBkeYBEpE/IhyS64aE3oHdaPvoOnl3odg4JnYsa3A+Uap6Cpfj2uAMzL9Cb3inXLemcP0jIta7GYVdaJoK1LX9BVPGu/6kDOmfcLlrv2Ufrepl/PlsB2otoley2o4Sl9DRU3ivWaz1FPWXoaq5z1a/Sq92UGc/KaoUmSPxA48doWGPy93G1LhwbMO29f8H5+PStk9gRz35LQYOKh2FnXci3DuKa2d/B781AuBmR5Eu44PFBIJG25qfwAfHzPW1WuVevNF/Dv0vb7OC0Ax2fLYWBCgBuuddRfLGBzioeMVY+9mC3stXcLZ5q61NUw4sQ9XBXpw9sdtpp4JtrVj/F+/HK8JP3Dgx1ILeiHp3K9VLQ6D+bXw+2o0dFj9ImUOv4/R74nUpov35oFUdQo9Vjtjs78K/pK5U/KzEOmCM5K+6fj7Uq02SiJ8Nm/JYM1Zu7dSdt53+8AAJO79oz+Hgn8/gRK394fIxUtNjpB90coBRphsOjn7IjbdFn2nndqd0WQ/Q6mcSCIrRPk8ypm7irOQ8OtOiinbvl3LY2aGfKMELniSNrwL1HRcweupFZ5uiZYk2aud+177SpR9UipXYkfLgEwSCCjmxo/IOEok5Y22gumsexUjKXWP36p0lsjPNmfCJrvTUEu4k7sh1XO5FmWkSSBhrFd3TeL6rp7B0R+xCvmuuHfKckSQsupzHSC3NFcBVpcmHi7JPEXoo2XPiKZ8wLTImuq/npdhBKHZy31nK2rWbtxqlQ0475vNtW8lWOW5twJbO0+kq/rUw6+Kn5nR1LoL2VDQnMoIVzzB49ivpJznbgqjxCdqaq8BP7icWJ+ZsN1KvnL8rwRTX5OaRgnUJrAvWIwIOL23dxDqrz7HaaW45lUaOo1FnPh4Vqb1xhYVDTl9RWCaQJb9DqGIuvMgo0hTPY4X1UzYsgKe0c0EMCvqDwrNAfcXAuYHzPIVAcAOjwaI/PQTSP2Gk9bnMS2qfXk2brGS10aYZg9Pq9T460rPDaKkotzahbDKlfzZ1KAH+bBWve0XsJ+sOKRfICJQIApQH12FEsESQYzW9ISAW8rbUoUa83ibYjIF4ab+vyRtozlRiWtpY91m5B6+1n8CJowcQCmxB1cEPcMM+ve/MxlceEKAE6CHLM5uE/eSZNQ0Lxgg80whQHuRA8Jk210YU7gESsYsYGvoEV2zf3N2ImvyiMqfv4bvoZzg/NIShoY/x5eTMky1D+EWVeXYqpwT47EhWpCTsJ0UCx9kYgdJFgPIgB4Kl6wusOSNQcghQAiw5AFhhRoARKHkEKA9yIFjyLsEAMAKlgwAlwNLRnDVlBBgBRsBEgPIgB4LsGYwAI1AyCFACLBnFWVFGgBFgBCQClAc5EGTXYAQYgZJBgBJgySjOijICjAAjIBGgPMiBILsGI8AIlAwClABLRnFWlBFgBBgBiQDlQQ4E2TUYAUagZBCgBFgyirOijAAjwAhIBCgPciDIrsEIMAIlgwAlwJJRnBVlBBgBRkAiQHnwFw4E5fcqd/Qj/vgJbaSvIHF1FFcTj56wIDO7+ID61U+uISE+Gs5/Lgg8RipxDZ9cTeT+ZrNLrpy3qP1cvzecMzf/wAh4QoASoHsm8u1f90Tkrrc8zm9PAzm/3WovPast0LbnrW57kXzOCDACpYsA5cFNEgjqWIm+ia3WB9Gf1MBLiLbXkI9cP2mZmyz/SgTtW7dgR/9NPGkML77DmmU/fRbjfSdxcmgKK5sMOlbnl0OAEqC7JI+QGP8TOk+ex9SK1ydBb8GYnhhHX2c3hqaWjao9BYK0LWS1vWLkddec7zICjMDmR4Dy4CYJBB9jeewIytYtEFzAWGslB4L52sPyGFrLytYpEFxv++UTnH8rZQQoAa4fFt4CQVqfp0CQZlrXtkcL52tGgBHY7AhQHnyCQPABEtEP0R5uRF1VNeoaW9B+5hJuq2+hrkxh6ORJ9I3P2qYOdaxMncfJzj9h3JjCleS5oxuXv/4IHS+/gKqqehw42o8vHZ8ny1eXWWZHcwia71doaH3THEUynqLfQd9oBF90HkBdXRPa+idwT9eRnv8G57uPoPm3dagM1qChqQXtA1Ek0uLpfxlTQ2+juWYLfMEGtJ7IPL0jPYfJoT+gpbEOVVV1aGz5A4Ym55Au4DVimjnmyPcOLty4m8mn/wszVz6wYfkqOoe+wbwhjyhcPvH3XUL85sfobNmLmsoQ9oTfxEB0NlMOgIJ14QHmJ8+js0XZrYi6hG07mlGjaQg2vIYTxsjJQ3MUpe8zTHzxDprqdqOx7Qxi91Zh4Ha+G23Nv0Fd5a9Q07AP4fYPEU08EBIbPuFuP+eIoJ6axpWBNxHOhb+y+eUp3Bx+By17Qqis2Wurq4Ch+OdNjwAlQHeFyQibJ79SgeBrOHf1bznbqPuI4Is4dXkcgx3/jnrBpQeOo//LW0iqwUj7iGC+tmcfwVwvTpF1d/aN8zIZd2fhu4zAhkOA8mCRgaCOlclu1Pp3ou3sJUzEYpi4/CHaQuUIHrpgEobrUysd+ZHkWR5AMPQKTo9EEIt+itPhWmjBQxj8TkwKFqpLx6OZKAbb98Dvex7hno9wPjqDR8a6mi0oD1Rge+MRnDjxe5z87Ec8vncFHULOxi5cjE4gFotg9EwbQtoW1Hb9HStIYSY6iPaGIHxVYfSc+xjRmRSQ/hGjx3bBX3UIpy5GjHwjp19BjX8Xjo3+6AjGHF6Rvo2hg5XQaqR+sQgudu1DUNuNzolF6EgiPtCMoFaL8OlPEY1NIHrxPTRXbUHw4BCmjWBQ4hTYhqq6V9AzfBkTCiftRfTc+JdZZcG6HiAx+nuE/M+h+dQnZl0j7yNcU4HQsc9lIOyhrkcziA62o8HvR1X4PZw7fxUzj2y23N6IN068hWMnP0fi8QIiHXXQgvvQZeA2gejon9Ea2gKtthuTK4/z2K8MZa1jMCbRUlMYaNrmxPHUIVRplTg4dNvEX9o8UFmNuvApDI9fRdTQbwu0Hb248VD1rA4L8UUJIUAJ0F116ctlRzC2/Bjw5Fcyj1aO4K7cbdR9jeAWBII7ZfuPwOAVbRv2Df4Txopn+xrBfG1PybuenCLr9q3HOm53sPkuI8AI/MwIUB4sMhCUpFfdjUmrc13FvdhZnOz9HN+ldGAtgaD2AromzTUzBh4rf0dXbTm2tkeMwCze3wBfvrpAA0xI8i6Db/tJxKx1PmnMj3Wisf5VfDT9MAO9/hOGD261TQXTqeFVLI69gQoreFNZlzHZ9QK0rW8iatWhfhNHtfZtBzqiIuiTf4+m0L+7Atvbv8Ly/EW0BMtlEKoSrGJ54h3UalVoGRGbMVQn48RJnxvGQb+anvVQ1+Io2irKUdt5FcuWMDLQ1mrQHl0CPNUlBk7p1LCU0bcTnbH7ShHo82PoaGzAoY9uZ/RHGnPDYfitqfzc9jMDwTTmR1oRpH6iL2Kicze0YCtG5tOWzc0AUylI67JE45MSRIASoDsE0pdVYCWDofx+5aWNqs0hlWgdWzCqNgND9RCqpCG8Yg8ERZJcbU/Kq68bpyh5+MgIMAKbCQHKg0UGgjIw8lWgrvUUhr6cxPf3UraO3o2sBIy0w5fk6QjyRDq5WcO4nzaDsHx1ZZWbCQStESVXK6aRXJhBfHIEXXuCeQJBKU/FYQzfmkUikZD/s7g1fBgVvjp0TSZdakhisqsOvpyBIsXDVsTDb9BVXeYMhlXHpJI5OoRCdalAsRqtwzdtOiSQuHUBrRVlqO76Bg9VIJi3Ljf7ks5Tyeg46kgnFzAT/we+6PrNGgJBGpirQnU8nOxGtU8GsbTDNJLlwVgVw8eSQYASoLvixJc9+RXJowp2tNFcgSDlD9VW5X1aPynTengz2mw693rpNXOKUoKPjAAjsJkQoDxYZCAoBrvuI/7xu2htqILm88HnCyLU3JFZs5ZFVgJG2ilL8syadiCkWqiurHJVIBjI3sygL+P2l/042hhCwJC7DJX1v0XD81vyBIIyEDHSC13pf+YJ3+ksuQIYlUrqqb2EQfsIpQHVTfTvUFOjBA+V3YFxoboU9lT2zLUZNHupK08gmGXLVSRvX0L/0SbUBDQDO61yN/Y3PAfN64ig7Ai1vYOYVgN9EgPHVBvtMI00Su8G9MdTCjk+ligClADdYSBtwJNfkTyqYEcbzRUIZvtmXr8mZToDwRUYMyjrwilKCT4yAozAZkKA8mDxgaCFShrJxP8genEAJ5qqoak1a1lkJTLQTlmSZ1bwkGt0K0ddWeXmCgQfITH8CoK+bWjs+gSx+AwWkmKrBw2iclzX9mLqEYlELBzcTuwjm/Z8YmRsEUupPE/vjs7HSyfjta5/Q8+UXFPoJvKTjggSW+qJCzgU9JtrMmNxzCwkkc6yF/ULZT8VCFN7ZATP22EayVzKzmTnsxJDgBKgu/qkvTnaospB/YrkUckIDzr8Vbh5vB87rAcilanASDcp0xkIrienKHn4yAgwApsJAcqDxQWC+l3EPngbh7uvYNEW35ikthUHh3+CbpDnFjm1qSAUT6u/to0ESfL0H8LQrO1F0MYaugCCLRcx76WurMBCBRJ0RFAGFHQq2qivPM+I4ENMD74ETfs1+uP2t9qtYnG8B4fb38fYjNgBS//k+jT6dK7PYaytGtres7h1sx+7tQrsG5p2TK3rs0PY5w9g76BYW+elkylU1yB++GEQe7Vy7O6fMhehS3H1xSvoPtyOd8em8dhTXV5HBFVnSae+qB+odLaREUfnK9NTP8EjzA4dgl/h68ijbOFStvqJjyWHACVAdwBIe/PkVySPKpgEbe6BIG3/0t/J2ldrmQsp0xkIruJRfL04RSnBR0aAEdhMCFAeLC4QFK8zESNr2gvoGL2FZFqHnrqDWP8BBFWwJIMdX8UrGLw+i6WlOXwX6cO+qiDKrSdgSZ6+LQgd/RviS4+M159Ee/cjqO1Bzw2x7s5DXVBP0NsRHvhvxOILSBvkTQNBOdKoNaBrYgFpiJG5HxAR9YnpXms0S6araMFA5B+ILzyArnYbN/UhMr2MtJ7CwtRfcVTsQN43iO9yjBSqfBUHBzA5n4Kevo/vLv5fhLTteGVkFrp+B5eP74IW3I/e6E9I6Wkkp6+gV+yQDXXgstgE4TE4K1yX2sG7H72RH5BMryK1cB0Xjor61S5tbx0a5HqjivAZRGL/xEJa5rMwFM1G2aUc9V1XcU/sgE4vYzrSh6agmCZWgZ9KR+2nRgQBff4Sjgusm/oQTaxAt8opR+j4JcyLBxJPHfZmas6sy1oRoATonp+0AU9+RfKogknQ5h4I+qCFjuNCfBFp8YWdqGgfAdT3fAtjMQOtP1fbU+t615FTwK+PUZbkIyOwaRCgPFhkIAggPYtIbwtCct2Xz6chEGpBb0S9AJ1roAAABSdJREFU105HOvHf6BLTxcaaOg2B+rfx+Wi3bSpEkmfodZx+T7wKxFyvplUdQo9Vjpe6RKx0E2cPinVnPhhryVbFGjsaCAJ68lsMyHQCDF9gJ8K9o7h29nfwWyNOOlLxszhYVQafT43KCX2+Qm94p1xbKGStQF3bXzCl3p3o6iYUB1Hnv+HY+ZvWe8L01PcY69pv6W+stwz/ERHjPXuiUG+djAi8nJhn1+Vqt7rX8dHUfTki6bWuJOJnw6bMxojcsrk2yREImmtJbwy8THR7H5evfYhmv20kxNV+mUBQLCtITY/Z/EnZ7iv52hsOBF3dj286EKAE6PjRuiBtgAZiRjo60kzyqLI8BYK7cPT0O2g2+MYHn/Ycmnvy+XWOtqcCQdHs1otTpO6Zh2SlGB8ZAUZgoyJAebD4QFAioKeWcEfsor2zBPHWmOw/sTP3Tp7fVY7HSC3NIZG4a4wwqrv2o7e65rCUKvTRMylTokDadBILWXopOe/I9YV2CfOdF6pTjE7eNXbz3lkiO7DzFev6W6G6REch7Was2XMtxMNNU+bC8nrVTchdwCYorJsHwTlJiSJACfBZgsFsk155xUvb89ru8qMgXlN16DfZG7Xy5+JfGQFG4FlFgPLgEweCz6qiLBcjwAgwAhQBSoD0d74mCOh3Mdn3Kn6nXm5NfuZLRoAR2HgIUB7kQHDj2ZAlZgQYgSIRoARYZDEllO0B7v44l2O2p4RgYFUZgU2EAOVBDgQ3kXFZFUaAEciPACXA/Kn5V0aAEWAENh8ClAc5ENx8NmaNGAFGIAcClABzJOPbjAAjwAhsWgQoD3IguGlNzYoxAowARYASIP2drxkBRoAR2OwIUB7kQHCzW5z1YwQYAQsBSoDWD3zCCDACjECJIEB5kAPBEjE8q8kIMAIwvnXNODACjAAjUMoIcCBYytZn3RmBEkeAEmCJw8HqMwKMQAkiQHmQRwRL0AlYZUagVBGgBFiqOLDejAAjULoIUB7kQLB0fYE1ZwRKDgFKgCUHACvMCDACJY8A5UEOBEveJRgARqB0EKAEWDqas6aMACPACJgIUB7kQJA9gxFgBEoGAUqAJaM4K8oIMAKMgESA8iAHguwajAAjUDIIUAIsGcVZUUaAEWAEJAKUBzkQZNdgBBiBkkGAEmDJKM6KMgKMACMgEaA8yIEguwYjwAiUDAKUAEtGcVaUEWAEGAGJAOVBDgTZNRgBRqBkEKAEWDKKs6KMACPACEgEKA9yIMiuwQgwAiWDACXAklGcFWUEGAFGQCJAeZADQXYNRoARKBkEKAGWjOKsKCPACDACEgHKgxwIsmswAoxAySBACbBkFGdFGQFGgBGQCFAe5ECQXYMRYARKBgFKgCWjOCvKCDACjIBEgPIgB4LsGowAI1AyCFACLBnFWVFGgBFgBCQClAc5EGTXYAQYgZJBgBJgySjOijICjAAjIBGgPMiBILsGI8AIlAwClABLRnFWlBFgBBgBiQDlQQ4E2TUYAUagZBCgBFgyirOijAAjwAhIBCgPciDIrsEIMAIlgwAlwJJRnBVlBBgBRkAiQHmQA0F2DUaAESgZBCgBlozirCgjwAgwAhIByoMcCLJrMAKMQMkgQAmwZBRnRRkBRoARkAhQHswZCIqE/M8YsA+wD7APsA+wD7APsA9sLh+wR8WugaA9AZ8zAowAI8AIMAKMACPACGxOBDgQ3Jx2Za0YAUaAEWAEGAFGgBEoiAAHggUh4gSMACPACDACjAAjwAhsTgT+fy9fqIdSeV4FAAAAAElFTkSuQmCC\"/>\n </p>\n <p>\n  a valid example of each;\n </p>\n <p>\n  <em>\n   Answers must have at least one similarity for 7 max\n  </em>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   lower rate of\n   <span style=\"text-decoration:underline;\">\n    aerobic\n   </span>\n   respiration / inhibits\n   <span style=\"text-decoration:underline;\">\n    aerobic\n   </span>\n   respiration;\n  </li>\n  <li>\n   reduced NAD (not oxidised) accumulates;\n  </li>\n  <li>\n   fewer/no electrons (from reduced NAD and FADH) to be transported by carriers;\n  </li>\n  <li>\n   less/no energy to transfer protons (from matrix to intermembrane space);\n  </li>\n  <li>\n   proton gradient cannot be maintained;\n  </li>\n  <li>\n   less/no diffusion of protons through ATP synthase;\n  </li>\n  <li>\n   ADP is not phosphorylated / less ATP produced / no energy to produce ATP;\n  </li>\n  <li>\n   oxygen not binding to protons / accepting electrons / no water formed;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "c1-1-14-allosteric-sites-and-non-competitive-inhibition",
+      "c1-1-enzymes-and-metabolism",
+      "c1-2-16-role-of-oxygen-as-terminal-electron-acceptor-in-aerobic-cell-respiration",
+      "c1-2-cell-respiration",
+      "d4-2-9-biomagnification-of-pollutants-in-natural-ecosystems",
+      "d4-2-stability-and-change"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how sex is determined in humans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how sexual reproduction gives rise to genetic variation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   genetically determined/determined by (pair of) sex chromosomes/X and Y chromosomes;\n  </li>\n  <li>\n   sperm carry either an X or a Y chromosome;\n  </li>\n  <li>\n   egg is X and if fertilized by X sperm leads to a female child / XX female\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   egg is X and if fertilized by Y sperm leads to a male child / XY male;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   genetically determined/determined by (pair of) sex chromosomes/X and Y chromosomes;\n  </li>\n  <li>\n   sperm carry either an X or a Y chromosome;\n  </li>\n  <li>\n   egg is X and if fertilized by X sperm leads to a female child / XX female\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   egg is X and if fertilized by Y sperm leads to a male child / XY male;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   recombination of parental alleles during fertilization;\n  </li>\n  <li>\n   fertilized egg contains a mixture of paternal and maternal chromosomes;\n  </li>\n  <li>\n   crossing over/meiosis gives rise to new combinations of alleles;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a3-1-7-karyotyping-and-karyograms",
+      "a3-1-diversity-of-organisms",
+      "d1-3-7-mutation-as-a-source-of-genetic-variation",
+      "d1-3-mutations-and-gene-editing",
+      "d4-1-2-roles-of-mutation-and-sexual-reproduction-in-generating-the-variation-on-which-natural-selection-acts",
+      "d4-1-natural-selection"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how mutation can lead to cancer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    one\n   </strong>\n   example of a human disease caused by an autosomal recessive allele.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the role of mutations in evolution.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   mutations are random changes in the sequences of genes/DNA;\n  </li>\n  <li>\n   (mutation) may involve addition/deletion/substitution/inversion of DNA bases;\n  </li>\n  <li>\n   (mutations) in tumour suppressor genes/oncogenes;\n  </li>\n  <li>\n   uncontrolled cell division/mitosis occurs;\n  </li>\n  <li>\n   abnormal cells cannot perform their function;\n  </li>\n  <li>\n   they divide repeatedly to form tumours;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   mutations are random changes in the sequences of genes/DNA;\n  </li>\n  <li>\n   (mutation) may involve addition/deletion/substitution/inversion of DNA bases;\n  </li>\n  <li>\n   (mutations) in tumour suppressor genes/oncogenes;\n  </li>\n  <li>\n   uncontrolled cell division/mitosis occurs;\n  </li>\n  <li>\n   abnormal cells cannot perform their function;\n  </li>\n  <li>\n   they divide repeatedly to form tumours;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   name of condition e.g. PKU / other example;\n  </li>\n  <li>\n   mutation in the gene for (the enzyme) phenylalanine hydroxylase (PAH) / if other example used name of gene that is mutated;\n  </li>\n  <li>\n   outline of inheritance pattern, e.g. both parents need to carry the recessive allele;\n  </li>\n  <li>\n   (without dietary modification, result is) toxic build-up of phenylalanine in the blood / low levels of tyrosine / symptoms if other example used;\n  </li>\n  <li>\n   phenylalanine is not converted to tyrosine (by the enzyme) / effect of the mutation on the protein/enzyme/metabolism if other example used;\n  </li>\n  <li>\n   requires dietary modification (as treatment) / treatment for other example used;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   new phenotypes/traits may result from mutations;\n  </li>\n  <li>\n   mutations increase variation/differences between individuals in a population/species;\n  </li>\n  <li>\n   individuals with new phenotype/trait may have more chances of survival;\n  </li>\n  <li>\n   (more chances of survival) in a changing environment / presence of selection pressures;\n  </li>\n  <li>\n   (selection pressure can be) intraspecific competition/abiotic factor;\n  </li>\n  <li>\n   natural selection occurs;\n  </li>\n  <li>\n   individuals with (advantageous) mutation have longer life spans/live longer;\n  </li>\n  <li>\n   (so) more chances of reproduction;\n  </li>\n  <li>\n   mutated gene passed on to new generations;\n  </li>\n  <li>\n   allele frequencies change in the population over time;\n  </li>\n  <li>\n   evolution is a consequence of natural selection;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "d1-3-6-consequences-of-mutation-in-germ-cells-and-somatic-cells",
+      "d1-3-7-mutation-as-a-source-of-genetic-variation",
+      "d1-3-mutations-and-gene-editing",
+      "d3-2-7-phenylketonuria-as-an-example-of-a-human-disease-due-to-a-recessive-allele",
+      "d3-2-inheritance"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the mechanisms involved in thermoregulation in humans.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [7]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the relationship between temperature and the activity of enzymes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Distinguish between the thermal properties of air and water as they relate to the habitat of animals.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   normal body temperature is 37 ºC;\n  </li>\n  <li>\n   peripheral thermoreceptors detect environmental temperature;\n  </li>\n  <li>\n   supporting conscious behaviour to avoid temperature extremes, e.g. wearing more clothing;\n  </li>\n  <li>\n   sends messages to hypothalamus/temperature control centre of the brain;\n  </li>\n  <li>\n   the hypothalamus sends messages to pituitary gland;\n  </li>\n  <li>\n   (pituitary) releases TSH;\n  </li>\n  <li>\n   stimulating thyroxin release from thyroid;\n  </li>\n  <li>\n   thyroxin controls metabolic rate / production of heat;\n  </li>\n  <li>\n   muscle random contraction/shivering to generate heat;\n  </li>\n  <li>\n   (brown) adipose tissue burns fat to generate waste heat;\n  </li>\n  <li>\n   vasoconstriction to conserve heat / vasodilation to exchange heat with the environment;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   normal body temperature is 37 ºC;\n  </li>\n  <li>\n   peripheral thermoreceptors detect environmental temperature;\n  </li>\n  <li>\n   supporting conscious behaviour to avoid temperature extremes, e.g. wearing more clothing;\n  </li>\n  <li>\n   sends messages to hypothalamus/temperature control centre of the brain;\n  </li>\n  <li>\n   the hypothalamus sends messages to pituitary gland;\n  </li>\n  <li>\n   (pituitary) releases TSH;\n  </li>\n  <li>\n   stimulating thyroxin release from thyroid;\n  </li>\n  <li>\n   thyroxin controls metabolic rate / production of heat;\n  </li>\n  <li>\n   muscle random contraction/shivering to generate heat;\n  </li>\n  <li>\n   (brown) adipose tissue burns fat to generate waste heat;\n  </li>\n  <li>\n   vasoconstriction to conserve heat / vasodilation to exchange heat with the environment;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   as temperature increases, the rate of molecular motion increases;\n  </li>\n  <li>\n   increasing the frequency of collision between enzyme and substrate;\n  </li>\n  <li>\n   increasing the rate of reaction;\n  </li>\n  <li>\n   until an optimum temperature is reached;\n  </li>\n  <li>\n   with further increase in temperature, enzymes denature;\n  </li>\n </ol>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <ol style=\"list-style-type:lower-alpha;\">\n  <li>\n   water has a (much) higher specific heat capacity (than air);\n  </li>\n  <li>\n   water requires more energy gain/loss to change temperature;\n  </li>\n  <li>\n   (water) provides more stable thermal habitats than air / temperature of water bodies remains more constant than air temperature;\n  </li>\n  <li>\n   water has a higher thermal conductivity than air;\n  </li>\n  <li>\n   more heat is transferred from organisms to water than to air;\n  </li>\n  <li>\n   water is a good evaporative coolant and air is not;\n  </li>\n  <li>\n   aquatic mammals have (proportionally) more body fat as insulation;\n  </li>\n </ol>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a-unity-and-diversity",
+      "c-interaction-and-interdependence",
+      "d-continuity-and-change"
+    ],
+    "subtopics": [
+      "a1-1-6-physical-properties-of-water-and-the-consequences-for-animals-in-aquatic-habitats",
+      "a1-1-water",
+      "c1-1-8-effects-of-temperature-ph-and-substrate-concentration-on-the-rate-of-enzyme-activity",
+      "c1-1-enzymes-and-metabolism",
+      "d3-3-5-thermoregulation-as-an-example-of-negative-feedback-control",
+      "d3-3-6-thermoregulation-mechanisms-in-humans",
+      "d3-3-homeostasis"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/assets/jsonqb/Chemistry 2025 QB merged.json b/assets/jsonqb/Chemistry 2025 QB merged.json
new file mode 100644
index 0000000..6653bf5
--- /dev/null
+++ b/assets/jsonqb/Chemistry 2025 QB merged.json	
@@ -0,0 +1,1785 @@
+[
+  {
+    "question_id": "19M.3.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Powdered zinc was reacted with 25.00 cm<sup>3</sup> of 1.000 mol dm<sup>−3</sup> copper(II) sulfate solution in an </span><span style=\"background-color: #ffffff;\">insulated beaker. Temperature was plotted against time.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"384\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"458\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Estimate the time at which the powdered zinc was placed in the beaker.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State what point <strong>Y</strong> on the graph represents.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The maximum temperature used to calculate the enthalpy of reaction was chosen at a point on the extrapolated (dotted) line.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the maximum temperature which should be used and outline <strong>one</strong> assumption made in choosing this temperature on the extrapolated line. </span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Maximum temperature:</span></p>\n<p><span style=\"background-color: #ffffff;\">Assumption:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">To determine the enthalpy of reaction the experiment was carried out five times. The same volume and concentration of copper(II) sulfate was used but the mass of zinc was different each time. Suggest, with a reason, if zinc or copper(II) sulfate should be in excess for each trial.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The formula <em>q = mcΔT</em> was used to calculate the energy released. The values used in the calculation were <em>m</em> = 25.00 g, <em>c</em> = 4.18 J g<sup>−1</sup> K<sup>−1</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State an assumption made when using these values for <em>m</em> and <em>c</em>.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"246\" 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\" width=\"666\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving a reason, how the final enthalpy of reaction calculated from this experiment would compare with the theoretical value.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100 «s»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept 90 to 100 s.</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">highest recorded temperature<br/><em><strong>OR</strong></em><br/>when rate of heat production equals rate of heat loss  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “maximum temperature”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “completion/end point of reaction”.</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Maximum temperature:</em><br/>73 «°C»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Assumption</em>:<br/>«temperature reached if» reaction instantaneous<br/><em><strong>OR</strong></em><br/>«temperature reached if reaction occurred» without heat loss  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “rate of heat loss is constant” <strong>OR</strong> “rate of temperature decrease is constant”.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em><br/>copper(II) sulfate <em><strong>AND</strong> </em>mass/amount of zinc is independent variable/being changed.<br/><em><strong>OR</strong></em><br/>copper(II) sulfate <em><strong>AND</strong> </em>with zinc in excess there is no independent variable «as amount of copper(II) sulfate is fixed»   <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">copper(II) sulfate <em><strong>AND</strong> </em>having excess zinc will not yield different results in each trial  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">zinc <em><strong>AND</strong> </em>results can be used to see if amount of zinc affects temperature rise «so this can be allowed for» <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">zinc <em><strong>AND</strong> </em>reduces variables/keeps the amount reacting constant  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"283\" src=\"data:image/png;base64,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\" width=\"510\"/></p>\n<p> </p>\n<p><strong><em>Note: </em></strong><em><span style=\"background-color: #ffffff;\">Accept “copper(II) sulfate/zinc sulfate” for “solution”.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lower/less exothermic/less negative <em><strong>AND</strong> </em>heat loss/some heat not accounted for<br/><em><strong>OR</strong></em><br/>lower/less exothermic/less negative <em><strong>AND</strong> </em>mass of reaction mixture greater than 25.00 g<br/><em><strong>OR</strong> <br/></em>greater/more exothermic /more negative <em><strong>AND</strong> </em>specific heat of solution less than water  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept “temperature is lower” instead of “heat loss”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “similar to theoretical value </span><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <span style=\"background-color: #ffffff;\">heat losses have been compensated for”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “greater/more exothermic/more negative <strong>AND</strong> linear extrapolation overestimates heat loss”.</span></em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates identified 100 s as the time at which the reaction was initiated.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students gained this mark through stating this was the highest temperature recorded, though even more took advantage of the acceptance of the completion of the reaction, expressed in many different ways. Very few answered that it was when heat loss equalled heat production.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even though almost all students recognised 100 seconds as the start time of the reaction less than 50% chose the extrapolated temperature at this time. Predictably the most common answer was the maximum of the graph, followed closely by the intercept with the y-axis. With regard to reasons, again relatively few gained the mark, though most who did wrote “no loss of heat”, even though it was rare to find this preceded by “the temperature that would have been attained if …”.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The correct answer depended on whether students considered the object of the additional trials was to investigate the effect of a new independent variable (excess copper(II) sulphate) or to obtain additional values of the same enthalpy change so they could be averaged (excess zinc). Answers that gave adequate reasons were rare.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again relatively few gained these marks for stating that it was assumed the density and specific heat of the solution were the same as water.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only about a third of the students correctly deduced that loss of heat to the environment means that the experimental value is lower than the theoretical one, though other answers, such as “higher because linear extrapolation over-compensates for the heat losses” were also accepted.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "topics": [
+      "tools"
+    ],
+    "subtopics": [
+      "tool-2-technology",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene is a derivative of benzene. One isomer is 1,4-dimethylbenzene.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" src=\"../assets/uploads/tinymce_asset/asset/5942/1.PNG\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene, like benzene, can be nitrated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bromine reacts with alkanes.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the number of <sup>1</sup>H NMR signals for this isomer of xylene and the ratio in which they appear.</span></p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of one other isomer of xylene which retains the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Write the equation for the production of the active nitrating agent from concentrated sulfuric and nitric acids.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain the mechanism for the nitration of benzene, using curly arrows to indicate the movement of electron pairs.</span></p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the initiation step of the reaction and its conditions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1,4-dimethylbenzene reacts as a substituted alkane. Draw the structures of the two products of the overall reaction when one molecule of bromine reacts with one molecule of 1,4-dimethylbenzene.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The organic product is not optically active. Discuss whether or not the organic product is a racemic mixture.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Number of signals</em>: 2     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><em>Ratio</em>:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">3 : 2 </span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">OR </span></span></em></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">6 : 4     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong>   </span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Accept any correct integer or fractional ratio. Accept ratios in reverse order.</span></span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"223\" src=\"../assets/uploads/tinymce_asset/asset/5943/1a_m.PNG\" width=\"527\"/>      <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ NO<sub>2</sub><sup>+</sup> + 2HSO<sub>4</sub></span><span style=\"background-color: #ffffff;\"><sup>−</sup> + H<sub>3</sub>O<sup>+       </sup></span><strong>[</strong>✔<strong>]</strong></p>\n<p><em><strong>Note</strong>: <span style=\"background-color: #ffffff;\">Accept a single arrow instead of an equilibrium sign.<br/>Accept “H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ NO<sub>2</sub><sup>+</sup> + HSO<sub>4</sub><sup>−</sup> + H<sub>2</sub>O”.<br/>Accept “H<sub>2</sub>SO<sub>4</sub> + HNO<sub>3</sub> ⇌ H<sub>2</sub>NO<sub>3</sub><sup>+</sup> + HSO<sub>4</sub><sup>−</sup>”.<br/>Accept equivalent two step reactions in which sulfuric acid first behaves as a strong acid and protonates the nitric acid, before behaving as a dehydrating agent removing water from it.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"285\" src=\"../assets/uploads/tinymce_asset/asset/5945/1cii.PNG\" width=\"469\"/></p>\n<p><span style=\"background-color: #ffffff;\">curly arrow going from benzene ring to N «of <sup>+</sup>NO<sub>2</sub>/NO<sub>2</sub><sup>+</sup>» <strong>[</strong>✔<strong>]</strong><br/>carbocation with correct formula and positive charge on ring <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong><br/>curly arrow going from C–H bond to benzene ring of cation <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong><br/>formation of organic product nitrobenzene <em><strong>AND</strong> </em>H<sup>+ </sup><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept mechanism with corresponding Kekulé structures.<br/>Do <strong>not</strong> accept a circle in M2 or M3.<br/>Accept first arrow starting either inside the circle or on the circle.<br/>If Kekulé structure used, first arrow must start on the double bond.<br/>M2 may be awarded from correct diagram for M3.<br/>M4: Accept “C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub> + H<sub>2</sub>SO<sub>4</sub>” if HSO<sub>4</sub><sup>−</sup> used in M3.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Br<sub>2</sub> 2Br• <strong>[</strong>✔<strong>]</strong><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">«sun»light/UV/<em>hv</em><br/><em><strong>OR</strong></em><br/>high temperature <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong>✔<strong>]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Do not penalize missing radical symbol on Br.<br/>Accept “homolytic fission of bromine” for M1.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"111\" src=\"../assets/uploads/tinymce_asset/asset/5946/1dii_m.PNG\" width=\"302\"/><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</strong></p>\n<p><span style=\"background-color: #ffffff;\">HBr <strong>[</strong>✔<strong>]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept condensed formulae, such as CH<sub>3</sub>C<sub>6</sub>H<sub>4</sub>CH<sub>2</sub>Br.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>there is no chiral carbon</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>there is no carbon with four different substituents/groups <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “no <strong>AND</strong> no asymmetric carbon<br/>atom”.</span></em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many identified two correct peaks but quite a few less the correct ratio.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done, although some candidates repeated the formula of the 1,4-isomer structure or drew the wrong bond, <em>e.g.</em> benzene ring to H rather than C on CH<sub>3</sub>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The production of NO<sub>3</sub><sup>−</sup> was a common answer.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Performance was fairly good by schools covering the topic while others had no idea. There were many careless steps, such as omission or misplacement of + sign.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well done, with a few making reference to a catalyst.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates lost one mark for the bond originated from H in CH<sub>3</sub> instead of C. Some teachers thought the use of the word “substituted alkane” made the question more difficult than it should have been.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One of the most poorly answered questions on the exam with only 10 % of candidates earning this mark. Some candidates just answered ‘yes’ or ‘no’ on whether the organic product is a racemic mix and very few mentioned the absence of a chiral carbon. One teacher though the use of benzene in this question made it unnecessarily tough, stating “the optical activity of benzene has not been covered due to the limited chemistry of benzene included in the specification. An aliphatic compound here would test the understanding of enantiomers without the confusion of adding benzene”. Candidates should recognize that carbon in benzene cannot be the centre of optical activity and look for chiral carbons in the substitution chains.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-3-electron-sharing-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Benzoic acid, C<sub>6</sub>H<sub>5</sub>COOH, is another derivative of benzene.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the wavenumber of one peak in the IR spectrum of benzoic acid, using section 26 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the spectroscopic technique that is used to measure the bond lengths in solid benzoic acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>one</strong> piece of physical evidence for the structure of the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of the conjugate base of benzoic acid showing <strong>all</strong> the atoms and <strong>all</strong> the bonds.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why both C to O bonds in the conjugate base are the same length and suggest a value for them. Use section 10 of the data booklet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The pH of an aqueous solution of benzoic acid at 298 K is 2.95. Determine the concentration of hydroxide ions in the solution, using section 2 of the data booklet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Formulate the equation for the complete combustion of benzoic acid in oxygen using only integer coefficients.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The combustion reaction in (f)(ii) can also be classed as redox. Identify the atom that is oxidized and the atom that is reduced.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest how benzoic acid, <em>M<sub>r</sub></em> = 122.13, forms an apparent dimer, <em>M<sub>r</sub></em> = 244.26, when dissolved in a non-polar solvent such as hexane.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the reagent used to convert benzoic acid to phenylmethanol (benzyl alcohol), C<sub>6</sub>H<sub>5</sub>CH<sub>2</sub>OH.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Any wavenumber in the following ranges:<br/>2500−3000 «cm<sup>−1</sup>» </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>1700−1750 «cm<sup>−1</sup>» </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>2850−3090 «cm<sup>−1</sup>» </span><strong>[✔]</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">X-ray «crystallography/spectroscopy» <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">«regular» hexagon</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">all «H–C–C/C-C-C» angles equal/120º <strong>[✔]</strong><br/>all C–C bond lengths equal/intermediate between double and single</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">bond order 1.5 <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"158\" src=\"../assets/uploads/tinymce_asset/asset/5947/2d.PNG\" width=\"482\"/>      <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<p> </p>\n<p><em><strong>Note: </strong><span style=\"background-color: #ffffff;\">Accept Kekulé structures.<br/>Negative sign must be shown in correct position.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">electrons delocalized «across the O–C–O system»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">resonance occurs <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">122 «pm» &lt; C–O &lt; 143 «pm» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept “delocalized π-bond”.</em><br/><em>Accept “bond intermediate between single and double bond” or “bond order 1.5” for M1.</em><br/><em>Accept any answer in range 123 to 142 pm</em>.</span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 1:</strong></em><br/>[H<sup>+</sup>] «= 10<sup>−2.95</sup>» = 1.122 × 10<sup>−3</sup> «mol dm<sup>−3</sup>» <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><br/>«[OH<sup>−</sup>] = <span class=\"mjpage\"><math alttext=\"\\frac{{1.00 \\times {{10}^{ - 14}}{\\text{ mo}}{{\\text{l}}^2}{\\text{ d}}{{\\text{m}}^{ - 6}}}}{{1.22 \\times {{10}^{ - 3}}{\\text{ mol d}}{{\\text{m}}^{ - 3}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>1.00</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>14</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>1.22</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> mol d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span> =» 8.91 × 10<sup>−12</sup> «mol dm<sup>−3</sup>» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 2:</strong></em><br/>pOH = «14 − 2.95 =» 11.05 <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong><br/>«[OH<sup>−</sup>] = 10<sup>−11.05</sup> =» 8.91 × 10<sup>−12</sup> «mol dm<sup>−3</sup>» <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award <strong>[2]</strong> for correct final answer.<br/>Accept other methods.</span></em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2C<sub>6</sub>H<sub>5</sub>COOH (s) + 15O<sub>2</sub> (g) → 14CO<sub>2</sub> (g) + 6H<sub>2</sub>O (l)<br/>correct products    </span><strong>[✔]</strong><span style=\"background-color: #ffffff;\"><br/>correct balancing    </span><strong>[✔]</strong></p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Oxidized</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">C/carbon «in C<sub>6</sub>H<sub>5</sub>COOH»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>AND</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Reduced</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">O/oxygen «in O<sub>2</sub>»      <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«intermolecular» hydrogen bonding    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept diagram showing hydrogen bonding.</span></em></p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lithium aluminium hydride/LiAlH<sub>4</sub>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could identify a wavenumber or range of wavenumbers in the IR spectrum of benzoic acid.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Less than half the candidates identified x-ray crystallography as a technique used to measure bond lengths. There were many stating IR spectroscopy and quite a few random guesses.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again less than half the candidates could accurately give a physical piece of evidence for the structure of benzene. Many missed the mark by not being specific, stating ‘all bonds in benzene with same length’ rather than ‘all C-C bonds in benzene have the same length’.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very poorly answered with only 1 in 5 getting this question correct. Many did not show <strong>all</strong> the bonds and <strong>all</strong> the atoms or either forgot or misplaced the negative sign on the conjugate base.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was a challenge. Candidates were not able to explain the intermediate bond length and the majority suggested the value of either the bond length of C to O single bond or double bond.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done with a few calculating the pOH rather than the concentration of hydroxide ion asked for.</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most earned at least one mark by correctly stating the products of the reaction.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question where not reading correctly was a concern. Instead of identifying the atom that is oxidized and the atom that is reduced, answers included formulas of molecules or the atoms were reversed for the redox processes.</p>\n<div class=\"question_part_label\">g.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The other question where only 10 % of the candidates earned a mark. Few identified hydrogen bonding as the reason for carboxylic acids forming dimers. There were many G2 forms stating that the use of the word “dimer” is not in the syllabus, however the candidates were given that a dimer has double the molar mass and the majority seemed to understand that the two molecules joined together somehow but could not identify hydrogen bonding as the cause.</p>\n<div class=\"question_part_label\">h.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few candidates answered this part correctly and scored the mark. Common answers were H<sub>2</sub>SO<sub>4</sub>, HCl &amp; Sn, H<sub>2</sub>O<sub>2</sub>. In general, strongest candidates gained the mark.</p>\n<div class=\"question_part_label\">i.</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.25",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Identify the chiral carbon atom using an asterisk, *.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Enantiomers can be identified using a polarimeter. Outline how this instrument differentiates the enantiomers.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"177\" src=\"data:image/png;base64,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\" width=\"221\"/>\n  <strong>\n   [\n   <span style=\"background-color:#ffffff;\">\n    ✔]\n   </span>\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «plane-»polarized light passed through sample\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   analyser/second polarizer determines angle of rotation of plane of plane-polarized light\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   each enantiomer rotates plane «of plane-polarized light» in opposite directions «by the same angle»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Some candidates had difficulty identifying the chiral carbon in a methadone structure, with quite a few varied answers. However, many managed to mark the correct carbon.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Very poorly answered. Few scored any marks at all when outlining how a polarimeter can be used to differentiate between enantiomers. Many referred to the light or the enantiomers themselves being rotated.\n </p>\n</div>\n",
+    "topics": [
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about the decomposition of hydrogen peroxide.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Hydrogen peroxide decomposes to water and oxygen when a catalyst such as potassium iodide, KI, is added.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><br/>2H<sub>2</sub>O<sub>2</sub> (aq) <span class=\"mjpage\"><math alttext=\"\\xrightarrow{{{\\text{KI (aq)}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mover>\n<mo>→</mo>\n<mpadded lspace=\"0.278em\" voffset=\".15em\" width=\"+0.611em\">\n<mrow>\n<mrow>\n<mtext>KI (aq)</mtext>\n</mrow>\n</mrow>\n</mpadded>\n</mover>\n</math></span> O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why many chemicals, including hydrogen peroxide, are kept in brown bottles instead of clear colourless bottles.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">In a laboratory experiment solutions of potassium iodide and hydrogen peroxide were mixed and the volume of oxygen generated was recorded. The volume was adjusted to 0 at t = 0.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"250\" src=\"../assets/uploads/tinymce_asset/asset/5958/4bi_1.PNG\" width=\"427\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The data for the first trial is given below.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"220\" src=\"../assets/uploads/tinymce_asset/asset/5959/4bi_2.PNG\" width=\"398\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Plot a graph on the axes below and from it determine the average rate of<br/>formation of oxygen gas in cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"614\" src=\"../assets/uploads/tinymce_asset/asset/5960/4bi_3.PNG\" width=\"388\"/></span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Average rate of reaction:</span></span></span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Two more trials (2 and 3) were carried out. The results are given below.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Determine the rate equation for the reaction and its overall order, using your answer from (b)(i).</span></span></p>\n<p>Rate equation: </p>\n<p>Overall order: </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Additional experiments were carried out at an elevated temperature. On the axes below, sketch Maxwell–Boltzmann energy distribution curves at two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</span></p>\n<p><img alt=\"\" height=\"382\" src=\"../assets/uploads/tinymce_asset/asset/5963/4biii.PNG\" width=\"583\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Apart from a greater frequency of collisions, explain, by annotating your graphs in (b)(iii), why an increased temperature causes the rate of reaction to increase.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> is another possible catalyst for the reaction. State the IUPAC name for MnO<sub>2</sub>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on why peracetic acid, CH3COOOH, is always sold in solution with ethanoic acid and hydrogen peroxide.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">H<sub>2</sub>O<sub>2</sub> (aq) + CH<sub>3</sub>COOH (aq) ⇌ CH<sub>3</sub>COOOH (aq) + H<sub>2</sub>O (l)</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Sodium percarbonate, 2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>, is an adduct of sodium carbonate and hydrogen peroxide and is used as a cleaning agent.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">M<sub>r</sub> (2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>) = 314.04</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage by mass of hydrogen peroxide in sodium percarbonate, giving your answer to two decimal places.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">decomposes in light    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “sensitive to light”.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img alt=\"\" height=\"659\" src=\"../assets/uploads/tinymce_asset/asset/5961/4bi_m.PNG\" width=\"407\"/></p>\n<p><span style=\"background-color: #ffffff;\">points correctly plotted     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">best fit line <em><strong>AND</strong> </em>extended through (to) the origin   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Average rate of reaction:</em><br/>«slope (gradient) of line =» 0.022 «cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>»   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Accept range 0.020–0.024cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Rate equation</em>:<br/>Rate = <em>k</em>[H<sub>2</sub>O<sub>2</sub>] × [KI]     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Overall order</em>:<br/>2     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Rate constant must be included.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"333\" src=\"../assets/uploads/tinymce_asset/asset/5964/4biii_m.PNG\" width=\"507\"/></span></p>\n<p><span style=\"background-color: #ffffff;\">peak of T<sub>2</sub> to right of <em><strong>AND</strong></em> lower than T<sub>1</sub>     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">lines begin at origin <em><strong>AND</strong></em> T<sub>2</sub> must finish above T<sub>1</sub>     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">E<sub>a</sub> marked on graph    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">explanation in terms of more “particles” with E ≥ E<sub>a</sub></span></p>\n<p><em><strong><span style=\"background-color: #ffffff;\">OR</span></strong></em></p>\n<p><span style=\"background-color: #ffffff;\">greater area under curve to the right of E<sub>a</sub> in T<sub>2</sub>     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">manganese(IV) oxide</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">manganese dioxide     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “manganese(IV) dioxide”.</span></em></p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">moves «position of» equilibrium to right/products    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “reactants are always present as the reaction is in equilibrium”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">M( H<sub>2</sub>O<sub>2</sub>) «= 2 × 1.01 + 2 × 16.00» = 34.02 «g»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«% H<sub>2</sub>O<sub>2</sub> = 3 × <span class=\"mjpage\"><math alttext=\"\\frac{{34.02}}{{314.04}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>34.02</mn>\n</mrow>\n<mrow>\n<mn>314.04</mn>\n</mrow>\n</mfrac>\n</math></span> × 100 =» 32.50 «%»     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were a couple of comments claiming that this NOS question on “why to store hydrogen peroxide in brown bottles” is not the syllabus. Most candidates were quite capable of reasoning this out.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could plot a best fit line and find the slope to calculate an average rate of reaction.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance but with answers that either typically included only [H<sub>2</sub>O<sub>2</sub>] with first or second order equation or even suggesting zero order rate equation.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Fair performance; errors including not starting the two curves at the origin, drawing peak for T2 above T1, T2 finishing below T1 or curves crossing the x-axis.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates earned at least one mark, many both marks. Errors included not annotating the graph with <em>E</em><sub>a</sub> and referring to increase of kinetic energy as reason for higher rate at T2.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question. Very few candidates had problem with nomenclature.</p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One teacher suggested that “stored” would have been better than “sold” for this question. There were a lot of irrelevant answers with many believing the back reaction was an acid dissociation.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>It is recommended that candidates use the relative atomic masses given in the periodic table.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.7",
+    "Question": "<div class=\"question\">\n<p><span style=\"background-color: #ffffff;\">An aqueous solution of silver nitrate, AgNO<sub>3</sub> (aq), can be electrolysed using platinum electrodes.</span></p>\n<p><span style=\"background-color: #ffffff;\">Formulate the half-equations for the reaction at each electrode during electrolysis.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Cathode (negative electrode):</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Anode (positive electrode):</span></span></span></p>\n</div>",
+    "Markscheme": "<div class=\"question\">\n<p><span style=\"background-color: #ffffff;\"><em>Cathode (negative electrode):</em><br/>Ag<sup>+</sup> (aq) + e<sup>−</sup> → Ag (s)    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><br/><em>Anode (positive electrode):</em><br/>2H<sub>2</sub>O(l) → O<sub>2</sub> (g) + 4H<sup>+</sup> (aq) + 4e<sup>−</sup>    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept 4OH<sup>−</sup> (aq) → O<sub>2</sub> (g) + 2H<sub>2</sub>O(l) + 4e<sup>−</sup></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept multiple or fractional coefficients in both half-equations.</span></em></p>\n</div>",
+    "Examiners report": "<div class=\"question\">\n<p>Very few answers were correct, even for stronger candidates. Many failed to formulate the correct half equation for the reaction at the anode and used the nitrate ion instead of oxidation of H<sub>2</sub>O. Some candidates lost one of the marks for using equilibrium arrows in an electrolysis equation.</p>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-2-4-from-models-to-materials"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw the structure of the repeating unit of starch and state the type of linkage formed between these units.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    <img height=\"142\" src=\"data:image/png;base64,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\" width=\"229\"/>\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Type of linkage:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Formulate the equation for the complete hydrolysis of a starch molecule, (C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     10\n    </sub>\n    O\n    <sub>\n     5\n    </sub>\n    )\n    <sub>\n     n\n    </sub>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"221\" src=\"data:image/png;base64,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\" width=\"229\"/>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   continuation bonds\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   −O attached to just one end\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   both H atoms on end carbons must be on the same side\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   <em>\n    Type of linkage:\n   </em>\n   <br/>\n   glycosidic\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Square brackets not required.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Ignore “n” if given.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Mark may be awarded if a polymer is shown but with the repeating unit clearly identified.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Accept “ether”.\n   </span>\n  </em>\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   (C\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   6\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   H\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   10\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   O\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   5\n  </sub>\n  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   )\n  </span>\n  <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n   n\n  </sub>\n  <span style=\"background-color:#ffffff;\">\n   (s) +\n   <em>\n    n\n   </em>\n   H\n   <sub>\n    2\n   </sub>\n   O (l) →\n   <em>\n    n\n   </em>\n   C\n   <sub>\n    6\n   </sub>\n   H\n   <sub>\n    12\n   </sub>\n   O\n   <sub>\n    6\n   </sub>\n   (aq)\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <strong>\n    Note:\n   </strong>\n   Accept “(n-1)H\n   <sub>\n    2\n   </sub>\n   O”.\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   Do\n   <strong>\n    not\n   </strong>\n   award mark if “n” not included.\n  </span>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Candidates were required to draw the structure of the repeating unit of starch given the ring structure as a starting point. This proved extremely difficult with very few candidates scoring a mark. Commonly, the structure of\n  <span class=\"mjpage\">\n   <math alttext=\"a\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n   </math>\n  </span>\n  -glucose was given, or an attempt was made to draw a polymer. Naming the type of linkage formed was answered well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Also proved challenging, with many candidates unable to write an equation for the hydrolysis of a starch molecule (C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   10\n  </sub>\n  O\n  <sub>\n   5\n  </sub>\n  )\n  <sub>\n   n\n  </sub>\n  . The n was often omitted from otherwise correct equations or the product was incorrectly given as (C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   12\n  </sub>\n  O\n  <sub>\n   6\n  </sub>\n  )\n  <sub>\n   n\n  </sub>\n  .\n </p>\n</div>\n",
+    "topics": [
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "structure-2-4-from-models-to-materials"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>\n<p><span style=\"background-color: #ffffff;\">The <em>x</em>-axis and <em>y</em>-axis are shown with arbitrary units.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"283\" src=\"../assets/uploads/tinymce_asset/asset/5982/2.PNG\" width=\"564\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This decomposition obeys the rate expression:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\" - \\frac{{d[{{\\text{N}}_2}{\\text{O]}}}}{{dt}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo>−<!-- − --></mo>\n<mfrac>\n<mrow>\n<mi>d</mi>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msub>\n<mrow>\n<mtext>N</mtext>\n</mrow>\n<mn>2</mn>\n</msub>\n</mrow>\n<mrow>\n<mtext>O]</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mi>d</mi>\n<mi>t</mi>\n</mrow>\n</mfrac>\n</math></span> = <em>k</em>[N<sub>2</sub>O]</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce how the rate of reaction at <em>t</em> = 2 would compare to the initial rate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">It has been suggested that the reaction occurs as a two-step process:</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 1: N<sub>2</sub>O (g) → N<sub>2</sub> (g) + O (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 2: N<sub>2</sub>O (g) + O (g) → N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">Explain how this could support the observed rate expression.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch, on the axes in question 2, the graph that you would expect.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment gave an error in the rate because the pressure gauge was inaccurate.</span></p>\n<p><span style=\"background-color: #ffffff;\">Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>\n<p><img alt=\"\" height=\"309\" src=\"../assets/uploads/tinymce_asset/asset/5983/2f.PNG\" width=\"637\"/></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the standard entropy change, in J K−1, for the decomposition of dinitrogen monoxide. </span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"154\" src=\"../assets/uploads/tinymce_asset/asset/5984/2gi.PNG\" width=\"325\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide has a positive standard enthalpy of formation, Δ<em>H</em><sub>f</sub></span><sup>θ</sup><span style=\"background-color: #ffffff;\">.</span></p>\n<p><span style=\"background-color: #ffffff;\">Deduce, giving reasons, whether altering the temperature would change the </span><span style=\"background-color: #ffffff;\">spontaneity of the <strong>decomposition</strong> reaction.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">increase in the amount/number of moles/molecules «of gas»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">from 2 to 3/by 50 %     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«rate of reaction decreases»<br/>concentration/number of molecules in a given volume decreases<br/><em><strong>OR</strong></em><br/>more space between molecules    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">collision rate/frequency decreases<br/><em><strong>OR</strong></em><br/>fewer collisions per unit time     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">half «of the initial rate»    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><strong>Note: </strong><em>Accept “lower/slower «than initial rate»”.</em></span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1 slower than 2<br/><em><strong>OR</strong></em><br/>1 rate determinant step/RDS    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">1 is unimolecular/involves just one molecule so it must be first order<br/><em><strong>OR</strong></em><br/>if 1 faster/2 RDS, second order in N<sub>2</sub>O<br/><em><strong>OR</strong></em><br/>if 1 faster/2 RDS, first order in O     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"253\" src=\"data:image/png;base64,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width=\"541\"/></p>\n<p><span style=\"background-color: #ffffff;\">smaller initial gradient     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor»     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>it is a systematic error/not a random error</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>«a similar magnitude» error would occur every time     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"419\" src=\"data:image/png;base64,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\" width=\"635\"/></p>\n<p><span style=\"background-color: #ffffff;\">catalysed and uncatalysed E<sub>a</sub> marked on graph <em><strong>AND</strong> </em>with the catalysed being at lower energy     <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E &gt; E<sub>a</sub><br/><em><strong>OR</strong></em><br/>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub>     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “more molecules have the activation energy”.</span></em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<span style=\"background-color: #ffffff;\">S<sup>θ</sup> = 2(S<sup>θ</sup>(N<sub>2</sub>)) + S<sup>θ</sup>(O<sub>2</sub>) – 2(S<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span>(N<sub>2</sub>O))<br/></span><span style=\"background-color: #ffffff;\"><em><strong>OR<br/></strong></em></span>Δ<span style=\"background-color: #ffffff;\">S<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> = 2 × 193 «J mol<sup>-1</sup> K<sup>-1</sup>» + 205 «J mol<sup>-1</sup> K<sup>-1</sup>» – 2 × 220 «J mol<sup>-1</sup> K<sup>-1</sup>»     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«ΔS<span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> = +»151 «J K<sup>-1</sup>»     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">exothermic decomposition<br/><em><strong>OR</strong></em><br/>Δ<em>H</em><sub>(decomposition)</sub> &lt; 0    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>TΔS</em><sup>θ</sup> &gt; Δ<em>H</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ<br/></span></sup></span></span><span style=\"background-color: #ffffff;\"><em><strong>OR<br/></strong></em></span><span style=\"background-color: #ffffff;\">Δ<em>G</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> «= Δ<em>H</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span> – <em>TΔS</em><span style=\"font-size: 14px;\"><sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">θ</span></sup></span>» &lt; 0 «at all temperatures»     <strong>[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">reaction spontaneous at all temperatures    <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[</strong><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔]</span></span></p>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Students were able in general to relate more moles of gas to increase in pressure.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few students were able to relate the effect of reduced pressure at constant volume with a decrease in concentration of gas molecules and mostly did not even refer to this, but rather concentrated on lower rate of reaction and frequency of collisions. Many candidates lost a mark by failing to explain rate as collisions per unit time, frequency, <em>etc</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though the differential equation was considered to be misleading by teachers, most candidates attempted to answer this question, and more than half did so correctly, considering they had the graph to visualize the gradient.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students were able to identity step 1 as the RDS/slow but few mentioned unimolecularity or referred vaguely to NO<sub>2</sub> as the only reagent (which was obvious) and got only 1 mark.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students drew a lower initial gradient, but most did not reflect the effect of lower temperature on pressure at constant volume and started and finished the curve at the same pressure as the original one.</p>\n<p> </p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates identified the inaccurate pressure gauge as a systematic error, thus relating accuracy to this type of error.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The graph was generally well done, but in quite a few cases, candidates did not mention that increase of rate in the catalyzed reaction was due to <em>E</em> (particles) &gt; <em>E</em><sub>a</sub> or did so too vaguely.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates were able to calculate the ΔS of the reaction, though in some cases they failed to multiply by the number of moles.</p>\n<div class=\"question_part_label\">g(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though the question asked for decomposition (in bold), most candidates ignored this and worked on the basis of a the Δ<em>H</em> of formation. However, many did write a sound explanation for that situation. On the other hand, in quite a number of cases, they did not state the sign of the Δ<em>H</em> (probably taking it for granted) nor explicitly relate Δ<em>G</em> and spontaneity, which left the examiner with no possibility of evaluating their reasoning.</p>\n<div class=\"question_part_label\">g(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "structure-1-5-ideal-gases",
+      "tool-2-technology",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide, N<sub>2</sub>O, causes depletion of ozone in the stratosphere.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Different sources of N<sub>2</sub>O have different ratios of <sup>14</sup>N : <sup>15</sup>N.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The Lewis (electron dot) structure of the dinitrogen monoxide molecule can be represented as:</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"54\" src=\"../assets/uploads/tinymce_asset/asset/5985/3d.PNG\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"373\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ozone in the stratosphere is important.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide in the stratosphere is converted to nitrogen monoxide, NO (g).</span></p>\n<p><span style=\"background-color: #ffffff;\">Write <strong>two</strong> equations to show how NO (g) catalyses the decomposition of ozone.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State <strong>one</strong> analytical technique that could be used to determine the ratio of <sup>14</sup>N : <sup>15</sup>N.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of gas was enriched to contain 2 % by mass of <sup>15</sup>N with the remainder being <sup>14</sup>N.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the relative molecular mass of the resulting N<sub>2</sub>O.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving <strong>two</strong> reasons, how the first ionization energy of <sup>15</sup>N compares with that of <sup>14</sup>N.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the first ionization energy of nitrogen is greater than both carbon and oxygen.</span></p>\n<p><span style=\"background-color: #ffffff;\">Nitrogen and carbon:</span></p>\n<p><span style=\"background-color: #ffffff;\">Nitrogen and oxygen:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State what the presence of alternative Lewis structures shows about the nature of the bonding in the molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the shape of the dinitrogen monoxide molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the hybridization of the central nitrogen atom in the molecule.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">absorbs <span style=\"text-decoration: underline;\">UV/ultraviolet</span> light «of longer wavelength than absorbed by O<sub>2</sub>»     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">NO (g) + O<sub>3</sub> (g) → NO<sub>2</sub> (g) + O<sub>2</sub> (g)       <strong>[✔]</strong><br/>NO<sub>2</sub> (g) + O<sub>3</sub> (g) <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">→</span> NO (g) + 2O<sub>2</sub> (g)     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Ignore radical signs.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept equilibrium arrows.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Award <strong>[1 max]</strong> for NO<sub>2</sub> (g) + O (g) <span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline;white-space: normal;float: none;background-color: #ffffff;\">→</span> NO (g) + O<sub>2</sub> (g).</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">mass spectrometry/MS     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">« <span class=\"mjpage\"><math alttext=\"\\frac{{(98 \\times 14) + (2 \\times 15)}}{{100}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>98</mn>\n<mo>×</mo>\n<mn>14</mn>\n<mo stretchy=\"false\">)</mo>\n<mo>+</mo>\n<mo stretchy=\"false\">(</mo>\n<mn>2</mn>\n<mo>×</mo>\n<mn>15</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mrow>\n<mn>100</mn>\n</mrow>\n</mfrac>\n</math></span> =» 14.02    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«M<sub>r</sub> = (14.02 × 2) + 16.00 =» 44.04    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two</em>:</span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same nuclear charge /number of protons/Z<sup><sub>eff</sub></sup>      <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>neutrons do not affect attraction/ionization energy/Z<sup><sub>eff</sub></sup><br/><em><strong>OR</strong></em><br/>same <em><strong>AND</strong> </em>neutrons have no charge       <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>same attraction for «outer» electrons     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same electronic configuration/shielding     <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</span></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: bold;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">Note: </span>Accept “almost the same”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">“Same” only needs to be stated once.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Nitrogen and carbon:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">N has greater nuclear charge/«one» more proton «and electrons both lost from singly filled p-orbitals»    <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Nitrogen and oxygen:</em></span></p>\n<p><span style=\"background-color: #ffffff;\">O has a doubly filled «p-»orbital<br/><em><strong>OR</strong></em><br/>N has only singly occupied «p-»orbitals     <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept “greater e– <sup>-</sup> e<sup>-</sup> repulsion in O” or “lower <span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">e– </span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">-</sup><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\"> e</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">-</sup> repulsion in N”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept box annotation of electrons for M2.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">delocalization</span></p>\n<p><span style=\"background-color: #ffffff;\">OR</span></p>\n<p><span style=\"background-color: #ffffff;\">delocalized <em>π</em>-electrons    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “resonance”.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">linear <em><strong>AND</strong> </em>2 electron domains</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em></span></p>\n<p><span style=\"background-color: #ffffff;\">linear <em><strong>AND</strong> </em>2 regions of electron density    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “two bonds </span><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <span style=\"background-color: #ffffff;\">no lone pairs” for reason.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">sp     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates sometimes failed to identify how ozone works in chemical terms, referring to protects/deflects, <em>i.e.</em>, the consequence rather than the mechanism.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recalled the first equation for NO catalyzed decomposition of ozone only. Some considered other radical species.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>All candidates, with very few exceptions, answered this correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to calculate the accurate mass of N<sub>2</sub>O, though quite a few candidates just calculated the mass of N and didn’t apply it to N<sub>2</sub>O, losing an accessible mark.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students realized that neutrons had no charge and could not affect IE significantly, but many others struggled a lot with this question since they considered that <sup>15</sup>N would have a higher IE because they considered the greater mass of the nucleus would result in an increase of attraction of the electrons.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mixed responses here; the explanation of higher IE for N with respect to C was less well explained, though it should have been the easiest. It was good to see that most candidates could explain the difference in IE of N and O, either mentioning paired/unpaired electrons or drawing box diagrams.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates identified resonance for this given Lewis representation.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Though quite a number of candidates suggested a linear shape correctly, they often failed to give a complete correct explanation, just mentioning the absence of lone pairs but not two bonds, instead of referring to electron domains.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Hybridisation of the N atom was correct in most cases.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-1-4-entropy-and-spontaneity",
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-3-electron-configurations",
+      "structure-2-2-the-covalent-model",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium, Re, was the last element with a stable isotope to be isolated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Before its isolation, scientists predicted the existence of rhenium and some of its properties.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">One chloride of rhenium has the empirical formula ReCl<sub>3</sub>.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium forms salts containing the perrhenate(VII) ion, ReO<sub>4</sub><sup>−</sup>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The stable isotope of rhenium contains 110 neutrons.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the nuclear symbol notation <span class=\"mjpage\"><math alttext=\"{}_{\\text{Z}}^{\\text{A}}{\\text{X}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mtext>Z</mtext>\n</mrow>\n<mrow>\n<mtext>A</mtext>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>X</mtext>\n</mrow>\n</math></span> for this isotope.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest the basis of these predictions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A scientist wants to investigate the catalytic properties of a thin layer of rhenium </span><span style=\"background-color: #ffffff;\">metal on a graphite surface.<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Describe an electrochemical process to produce a layer of rhenium on graphite.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict <strong>two</strong> other chemical properties you would expect rhenium to have, given its position in the periodic table.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe how the relative reactivity of rhenium, compared to silver, zinc, and copper, can be established using pieces of rhenium and solutions of these metal sulfates.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the name of this compound, applying IUPAC rules.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage, by mass, of rhenium in ReCl<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why the existence of salts containing an ion with this formula could be predicted. Refer to section 6 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the coefficients required to complete the half-equation.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">ReO<sub>4</sub><sup>−</sup> (aq) + ____H<sup>+</sup> (aq) + ____e<sup>−</sup> ⇌ [Re(OH)<sub>2</sub>]<sup>2+</sup> (aq) + ____H<sub>2</sub>O (l)        E<sup>θ</sup> = +0.36 V</span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving a reason, whether the reduction of ReO<sub>4</sub><sup>−</sup> to [Re(OH)<sub>2</sub>]<sup>2+</sup> would oxidize Fe<sup>2+</sup> to Fe<sup>3+</sup> in aqueous solution. Use section 24 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{}_{{\\text{75}}}^{{\\text{185}}}{\\text{Re}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>75</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>185</mtext>\n</mrow>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Re</mtext>\n</mrow>\n</math></span>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">gap in the periodic table<br/><em><strong>OR</strong></em><br/>element with atomic number «75» unknown<br/><em><strong>OR</strong></em><br/>break/irregularity in periodic trends     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«periodic table shows» regular/periodic trends «in properties»      <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">electrolyze «a solution of /molten» rhenium salt/Re<sup>n+</sup>     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">graphite as cathode/negative electrode<br/>OR<br/>rhenium forms at cathode/negative electrode     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “using rhenium anode” for M1.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two of:</em><br/>variable oxidation states<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">forms complex ions/compounds<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">coloured compounds/ions<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«para»magnetic compounds/ions     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept other valid responses related to its <strong>chemical</strong> metallic properties.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “catalytic properties”.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">place «pieces of» Re into each solution    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">if Re reacts/is coated with metal, that metal is less reactive «than Re»    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept other valid observations such as “colour of solution fades” or “solid/metal appears” for “reacts”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">rhenium(III) chloride<br/><em><strong>OR</strong></em><br/>rhenium trichloride    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«M<sub>r</sub> ReCl<sub>3</sub> = 186.21 + (3 × 35.45) =» 292.56    <strong>[✔]</strong><br/>«100 × <span class=\"mjpage\"><math alttext=\"\\frac{{186.21}}{{292.56}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>186.21</mn>\n</mrow>\n<mrow>\n<mn>292.56</mn>\n</mrow>\n</mfrac>\n</math></span> =» 63.648 «%» <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">  </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">same group as Mn «which forms M</span>n<span style=\"background-color: #ffffff;\">O<sub>4</sub><sup>-</sup>»<br/><em><strong>OR</strong></em><br/>in group 7/has 7 valence electrons, so its «highest» oxidation state is +7    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 6H</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">+</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 3e</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">⇌</span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> [Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> (aq) + 2H</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">O (l)    <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></span></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup></em> is a weaker oxidizing agent than Fe<sup>3+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>Fe<sup>3+</sup> is a stronger oxidizing agent than <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">ReO</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">4</sub><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">−</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>Fe<sup>2+</sup> is a weaker reducing agent than <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[Re(OH)</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2</sub><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">]</span><sup style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">2+</sup></em> is a stronger reducing agent than Fe<sup>2+</sup><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>cell emf would be negative/–0.41 V     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was expected that this question would be answered correctly by all HL candidates. However, many confused the A-Z positions or calculated very unusual numbers for A, sometimes even with decimals.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is a NOS question which required some reflection on the full meaning of the periodic table and the wealth of information contained in it. But very few candidates understood that they were being asked to explain periodicity and the concept behind the periodic table, which they actually apply all the time. Some were able to explain the “gap” idea and other based predictions on properties of nearby elements instead of thinking of periodic trends. A fair number of students listed properties of transition metals in general.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done; most described the cell identifying the two electrodes correctly and a few did mention the need for Re salt/ion electrolyte.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well answered though some students suggested physical properties rather than chemical ones.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates chose to set up voltaic cells and in other cases failed to explain the actual experimental set up of Re being placed in solutions of other metal salts or the reaction they could expect to see.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates were able to name the compound according to IUPAC.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to answer this stoichiometric question correctly.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This should have been a relatively easy question but many candidates sometimes failed to see the connection with Mn or the amount of electrons in its outer shell.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Surprisingly, a great number of students were unable to balance this simple half-equation that was given to them to avoid difficulties in recall of reactants/products.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students understood that the oxidation of Fe<sup>2+</sup> was not viable but were unable to explain why in terms of oxidizing and reducing power; many students simply gave numerical values for <em>E</em><sup>Θ</sup> often failing to realise that the oxidation of Fe<sup>2+</sup> would have the inverse sign to the reduction reaction.</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbonated water is produced when carbon dioxide is dissolved in water under pressure. The following equilibria are established.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Equilibrium (1)  CO<sub>2</sub> (g) <img alt=\"\" height=\"25\" src=\"../assets/uploads/tinymce_asset/asset/5986/5.PNG\" width=\"64\"/> CO<sub>2</sub> (aq)</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Equilibrium (2)  CO<sub>2</sub> (aq) + H<sub>2</sub>O (l) <img height=\"14\" src=\"data:image/png;base64,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\" width=\"49\"/> H<sup>+</sup> (aq) + HCO<sub>3</sub><sup>−</sup> (aq)</span></span></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide acts as a weak acid.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Soda water has sodium hydrogencarbonate, NaHCO<sub>3</sub>, dissolved in the carbonated water.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish between a weak and strong acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">Weak acid: </span></p>\n<p><span style=\"background-color: #ffffff;\">Strong acid: </span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The hydrogencarbonate ion, produced in Equilibrium (2), can also act as an acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the formula of its conjugate base.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">When a bottle of carbonated water is opened, these equilibria are disturbed.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, how a decrease in pressure affects the position of Equilibrium (1).</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">At 298 K the concentration of aqueous carbon dioxide in carbonated water is 0.200 mol dm<sup>−3</sup> and the pK<sub>a</sub> for Equilibrium (2) is 6.36.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the pH of carbonated water.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the type of bonding in sodium hydrogencarbonate.</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between sodium and hydrogencarbonate:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between hydrogen and oxygen in hydrogencarbonate:</span></span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, referring to Equilibrium (2), how the added sodium hydrogencarbonate affects the pH.(Assume pressure and temperature remain constant.)</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100.0cm<sup>3</sup> of soda water contains 3.0 × 10<sup>−2</sup>g NaHCO<sub>3</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the concentration of NaHCO<sub>3</sub> in mol dm<sup>−3</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The uncertainty of the 100.0cm<sup>3</sup> volumetric flask used to make the solution was ±0.6cm<sup>3</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the maximum percentage uncertainty in the mass of NaHCO<sub>3</sub> so that the concentration of the solution is correct to ±1.0 %.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The reaction of the hydroxide ion with carbon dioxide and with the hydrogencarbonate ion can be represented by Equations 3 and 4.</span></p>\n<p><span style=\"background-color: #ffffff;\">Equation (3)     OH<sup>−</sup> (aq) + CO<sub>2</sub> (g) → HCO<sub>3</sub><sup>−</sup> (aq)<br/>Equation (4)     OH<sup>−</sup> (aq) + HCO</span><sub>3</sub><sup>−</sup><span style=\"background-color: #ffffff;\"> (aq) → H<sub>2</sub>O (l) + CO<sub>3</sub><sup>2−</sup> (aq)<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Discuss how these equations show the difference between a Lewis base and a Brønsted–Lowry base.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Equation (3):</span></p>\n<p><span style=\"background-color: #ffffff;\">Equation (4):</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Aqueous sodium hydrogencarbonate has a pH of approximately 7 at 298 K.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch a graph of pH against volume when 25.0cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> NaOH (aq) is gradually added to 10.0cm<sup>3</sup> of 0.0500 mol dm<sup>−3</sup> NaHCO<sub>3</sub> (aq).</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"344\" src=\"data:image/png;base64,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\" width=\"569\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Weak acid:</em> partially dissociated/ionized «in aqueous solution/water»<br/><em><strong>AND</strong></em><br/><em>Strong acid</em>: «assumed to be almost» completely/100 % dissociated/ionized «in aqueous solution/water»    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">CO<sub>3</sub><sup>2-</sup>    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">shifts to left/reactants <em><strong>AND</strong> </em>to increase amount/number of moles/molecules of gas/CO<sub>2</sub> (g)    <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “shifts to left/reactants <strong>AND</strong> to increase pressure”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class=\"mjpage\"><math alttext=\"\\frac{{{{[{{\\text{H}}^ + }]}^2}}}{{[{\\text{C}}{{\\text{O}}_2}]}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msup>\n<mrow>\n<mtext>H</mtext>\n</mrow>\n<mo>+</mo>\n</msup>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<mtext>C</mtext>\n</mrow>\n<mrow>\n<msub>\n<mrow>\n<mtext>O</mtext>\n</mrow>\n<mn>2</mn>\n</msub>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n</mfrac>\n</math></span><br/><em><strong>OR</strong></em><br/>«K<sub>a</sub> =» 10<sup>–6.36</sup>/4.37 × 10<sup>–7</sup> = <span class=\"mjpage\"><math alttext=\"\\frac{{{{[{{\\text{H}}^ + }]}^2}}}{{0.200}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">[</mo>\n<mrow>\n<msup>\n<mrow>\n<mtext>H</mtext>\n</mrow>\n<mo>+</mo>\n</msup>\n</mrow>\n<mo stretchy=\"false\">]</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>0.200</mn>\n</mrow>\n</mfrac>\n</math></span>  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">[H<sup>+</sup>] « <span class=\"mjpage\"><math alttext=\"\\sqrt {0.200 \\times 4.37 \\times {{10}^{ - 7}}} \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msqrt>\n<mn>0.200</mn>\n<mo>×</mo>\n<mn>4.37</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>7</mn>\n</mrow>\n</msup>\n</mrow>\n</msqrt>\n</math></span>  » = 2.95 × 10<sup>–4</sup> «mol dm<sup>–3</sup>» <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong><br/>«pH =» 3.53 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Award <strong>[3]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Between sodium and hydrogencarbonate:</em><br/>ionic    <strong>[✔]</strong><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Between hydrogen and oxygen in hydrogencarbonate:</em><br/>«polar» covalent     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«additional HCO<sub>3</sub><sup>-</sup>» shifts position of equilibrium to left   <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">pH increases   <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Do <strong>not</strong> award M2 without any justification in terms of equilibrium shift in M1.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«molar mass of NaHCO<sub>3</sub> =» 84.01 «g mol<sup>-1</sup>»    <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«concentration = <span class=\"mjpage\"><math alttext=\"\\frac{{3.0 \\times {{10}^{ - 2}}{\\text{g}}}}{{84.01{\\text{ g mo}}{{\\text{l}}^{ - 1}}}} \\times \\frac{1}{{0.100{\\text{ d}}{{\\text{m}}^3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>3.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>2</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext>g</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mn>84.01</mn>\n<mrow>\n<mtext> g mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>×</mo>\n<mfrac>\n<mn>1</mn>\n<mrow>\n<mn>0.100</mn>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span> =» 3.6 × 10<sup>–3</sup> «mol dm<sup>-3</sup>»     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«1.0 – 0.6 = ± » 0.4 «%»    <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Equation (3):</em><br/>OH<sup>-</sup> donates an electron pair <em><strong>AND</strong> </em>acts as a Lewis base     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Equation (4):</em><br/>OH<sup>-</sup> accepts a proton/H<sup>+</sup>/hydrogen ion <em><strong>AND</strong> </em>acts as a Brønsted–Lowry base <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"358\" 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\" width=\"579\"/></p>\n<p><span style=\"background-color: #ffffff;\">S-shaped curve from ~7 to between 12 and 14     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">equivalence point at 5 cm<sup>3</sup>     <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept starting point &gt;6~7.</span></em></p>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>As expected, many candidates were able to distinguish between strong and weak acids; some candidates referred to “dissolve” rather than dissociate.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half the candidates were able to deduce that carbonate was the conjugate base but a significant proportion of those that did, wrote the carbonate ion with an incorrect charge.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students gave generic responses referring to a correct shift without conveying the idea of compensation or restoration of pressure or moles of gas. This generic reply reflects the difficulty in applying a theoretical concept to the practical situation described in the question.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates calculated the pH of the aqueous CO<sub>2</sub>. Some candidates attempted to use the Henderson-Hasselback equation and others used the quadratic expression to calculate [H<sup>+</sup>] (these two options were very common in the Spanish scripts) getting incorrect solutions. These answers usually ended in pH of approx. 1 which candidates should realize cannot be correct for soda water.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an easy question, especially the identification of the type of bond between H and O, yet some candidates interpreted that the question referred to intermolecular bonding.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A significant number of candidates omitted the “equilibrium” involved in the dissolution of a weak base.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is another stoichiometry question that most candidates were able to solve well, with occasional errors when calculating <em>M</em><sub>r</sub> of hydrogen carbonate.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mixed responses, more attention should be given to this simple calculation which is straightforward and should be easy as required for IA reports.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a good way to test this topic because answers showed that, while candidates usually knew the topic in theory, they could not apply this to identify the Lewis and Bronsted-Lowry bases in the context of a reaction that was given to them. In some cases, they failed to specify the base, OH<sup>-</sup> or also lost marks referring just to electrons, an electron or H instead of hydrogen ions or H<sup>+</sup> for example.</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students that got 1mark for this titration curve was for the general shape, because few realized they had the data to calculate the equivalence point. There were also some difficulties in establishing the starting point even if it was specified in the stem.</p>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "tool-2-technology",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Phenylethene can be polymerized to form polyphenylethene (polystyrene, PS).</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"190\" src=\"../assets/uploads/tinymce_asset/asset/5990/6.PNG\" width=\"187\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The major product of the reaction with hydrogen bromide is C<sub>6</sub>H<sub>5</sub>–CHBr–CH<sub>3</sub> and the minor product is C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the repeating unit of polyphenylethene.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Phenylethene is manufactured from benzene and ethene in a two-stage process. The overall reaction can be represented as follows with ΔG<sup>θ</sup> = +10.0 kJ mol<sup>−1</sup> at 298 K.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img alt=\"\" height=\"174\" src=\"../assets/uploads/tinymce_asset/asset/5991/6b.PNG\" width=\"593\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Calculate the equilibrium constant for the overall conversion at 298 K, using section 1 of the data booklet.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The benzene ring of phenylethene reacts with the nitronium ion, NO<sub>2</sub><sup>+</sup>, and the C=C double bond reacts with hydrogen bromide, HBr.</span></p>\n<p><span style=\"background-color: #ffffff;\">Compare and contrast these two reactions in terms of their reaction mechanisms.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Similarity: </span></p>\n<p><span style=\"background-color: #ffffff;\">Difference:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why the major product, C<sub>6</sub>H<sub>5</sub>–CHBr–CH<sub>3</sub>, can exist in two forms and state the relationship between these forms.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Two forms: </span></p>\n<p><span style=\"background-color: #ffffff;\">Relationship:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The minor product, C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br, can exist in different conformational forms (isomers).</span></p>\n<p><span style=\"background-color: #ffffff;\">Outline what this means.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The minor product, C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br, can be directly converted to an intermediate compound, <strong>X</strong>, which can then be directly converted to the acid C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–COOH.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>Br → <strong>X</strong> → C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–COOH</span></p>\n<p><span style=\"background-color: #ffffff;\">Identify <strong>X</strong>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"187\" 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\" width=\"286\"/>       <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></p>\n<p> </p>\n<p><em><strong><span style=\"background-color: #ffffff;\">Note: </span></strong><span style=\"background-color: #ffffff;\">Do <strong>not</strong> penalize the use of brackets and “n”. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> award the mark if the continuation bonds are missing.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ln<em> k</em> «= <span class=\"mjpage\"><math alttext=\" - \\frac{{10000}}{{8.31 \\times 298}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo>−</mo>\n<mfrac>\n<mrow>\n<mn>10000</mn>\n</mrow>\n<mrow>\n<mn>8.31</mn>\n<mo>×</mo>\n<mn>298</mn>\n</mrow>\n</mfrac>\n</math></span> » = –4.04     <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>k</em> = 0.0176   <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">    </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong>    </span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note</strong>: Award<strong> [2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Similarity: </em><br/>«both» involve an electrophile<br/><em><strong>OR</strong></em><br/>«both» electrophilic      <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Difference</em>:<br/>first/reaction of ring/with NO<sub>2</sub><sup>+</sup> is substitution/S<sub>«E»</sub> <em><strong>AND</strong> </em>second/reaction of C=C/with HBr is addition/A<sub>«E»</sub> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">     </span><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Answer must state which is substitution and which is addition for M2.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Two forms:</em><br/>chiral/asymmetric carbon<br/><em><strong>OR</strong></em><br/>carbon atom attached to 4 different groups      <strong>[✔]</strong><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>Relationship</em>:<br/>mirror images<br/><em><strong>OR</strong></em><br/>enantiomers/optical isomers      <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept appropriate diagrams for either or both marking points.</span></em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">benzene ring «of the C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>» and the bromine «on the CH<sub>2</sub>–Br» can take up different relative positions by rotating about the «C–C, <em>σ</em>–»bond      <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “different parts of the molecule can rotate relative to each other”.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “rotation around σ<span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">–</span>bond”.</span></em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>5</sub>–CH<sub>2</sub>–CH<sub>2</sub>OH     <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates were able to draw the monomer correctly. Some candidates made careless mistakes writing C<sub>6</sub>H<sub>6</sub>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another calculation which most candidates were able to work out, though some failed to convert Δ<em>G</em> given value in kJ mol<sup>-1</sup> to J mol<sup>-1</sup> or forgot the negative sign. Some used an inappropriate expression of <em>R</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The strong candidates were generally able to see the similarity between the two reactions but unexpectedly some could not identify “electrophilic” as a similarity even if they referred to the differences as electrophilic substitution/addition, so probably were unable to understand what was being asked.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates were given the products of the addition reaction and asked about the major product. Perhaps they were put off by the term “forms” and thus failed to “see” the chiral C that allowed the existence of enantiomers. There was some confusion with the type of isomerism and some even suggested cis/trans isomers.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>If candidates seemed rather confused in the previous question, they seemed more so in this one. Most simply referred to isomers in general, not seeming to be slightly aware of what conformational isomerism is, even if it is in the curriculum.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Quite well answered though some candidates suggested an aldehyde rather than the alcohol, or forgot that C has two hydrogens apart from the -OH. In other cases, they left a Br there.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Xylene is a derivative of benzene. One isomer is 1,4-dimethylbenzene.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"124\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAa8AAACqCAYAAAAa0cAGAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAB7aSURBVHhe7d0PcFTVvQfwH1Sc6qNqBaYmBXWAIThSlQI+KzgEkPDnjcIk5TkyrwkCRZ5/cKwmUcGptoQHCSNvgPcGpaEmTnUeuBkorZg8QRjQ8U/4U8ooYaqiocljMGqFF59S2Lffk3PXk2WTvXf33t17d7+fmVvP3WQ3ZDc9v/s753fP6ROOECIiogDpq/9LREQUGAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOAxeREQUOFyYl7LGBx98IOfOndNnlMjAgQPlyiuv1GdEwcLgRVnhq6++kmnTpsnevXv1I9Sb66+/XiZPnixr167VjxAFC4cNKSts2bJFBa6JEyfqR6g3Z8+elXXr1smxY8f0I0TBwsyLAu+zzz6TAQMG6DORUCikWxTP0aNHZenSpao9a9Ys2bp1q2oTBQmDFwVeRUWF1NTUqDYCV3FxsWpTfBhiRYb67rvvqvPGxkYpKipSbaKgYPCiQMOwV0FBgWqPGzdO9uzZI5dccok6p5698cYbMmHCBNXm+0ZBxDkvCjRkXZY1a9awA7Zp/PjxsnDhQtVGBoY5Q6IgYeZFgdXQ0CAlJSWqjY5448aNqk32mFkrtLa2yuDBg/UZkb8x86JAwrzNypUr9ZlIeXm5bpFdI0aMkKqqKn0mLJunQGHwokCqra2NFhyg5BsdMTm3ePFiNecFKHo5dOiQahP5HYcNKXBOnDghQ4YMUW10vK+++ipXikiBOfzK0nkKCmZeFDjm8NZjjz3GwJWiGTNmqKAF27ZtU8GMyO+YeVGgYFhr9OjRqo0O96WXXvJNhSEyws7OTtU+fvy4nDlzRrVNP/jBD2TQoEGq7ae1BVk6T0HD4EWBgSKNu+++W2UHsG/fPlXynW4IUh9//LFaCPjIkSOye/fu6PxbMhCEMWd3yy23yNChQ+Xqq6/OSFAzb/bGPOIDDzyg2kR+xOBFgWHOzaC6sLq6WrW9huWn3n//fZWNYD4olUBlFwLa7bffrrIhlLOnIwsy5xKhpaWFhTDkWwxeFAgIINOnT48GDq87Vvy85uZmdfPub37zG/1o76xyfWRO+fn5qh0P1hb84osv5PPPP7f92ihpx5JOXmea69evlwcffFC103mBQOQUgxcFgtmpejmkhTm1V155JbpwbTzIim6++WYZOXKkjBo1SmUrqWRGyHg+/fRT+fDDD+Wtt96KDt3Fg/mo0tJSmTt3ridDi7HrHmZqaJYoEQYv8r10rF+IggUEDWs+LRYyn7Fjx6ojHfNR+J0RyLDNS0/ZGTIjrCzidgYaWzrvp6IYoigELyI/i3TSuMBSRygU0o+6I5JZhCMddPT1zQM/F1/v7OzU350ZHR0d6vfu7d/Z0tKiv9sd5s9y+z0ncgODF/kagofViaJDdcvBgwfjBoNIZheuq6tTAcOPEKQiWeAF/24cCGJu/bvxc6zXxXvi1/eDcheDF/kWMh50nFYnioCTKnTCZiZnHfg5yDAynWXZhd9j3bp1F/weONz6Pcz3CQGTyE8YvMi30AlbnSc60lQ1NjZ2C4Y4gha0YvUUxJBVpjqUiNc2X9PtoUmiVDB4kS/Fdpytra36K871lG2h0w9q0IqFwLJw4cILfsdU56swhGq9Fl6fyC8YvMiXzHkdBJlkYagxNttCJ5ytWUS87BK/LwJ4MmKHbjEHSeQHDF7kO7HFAslmR+awo3Ugk8h28TJNvI/JBmyzaCaVz4PITQxe5Dvm8BcyCafQucbOA6XSeQdVvOCdbOZkfiapDkUSuYHBi3wFwcrqJJMpjUfgMjtaHDjP1WwBAdsc9sORTPAxs2EcyQ5DErnlO09FRP4YiTIOSxNh6aO2tjZ1/vvf/14GDBig2nbg+UuWLOm2IkUkA5Ply5dLv3799CO5Be8f9us6ffq0HDhwQD22efNmtR0LlriyC69z8cUXy65du9R5pO+QqVOnqjZRRnTFMKLMMyvbnJbGx8u4khlyzFbx3h+nhTCxFaC5NgxL/sLgRb4Q2zE6GZaK1zGzKu5CeJ9iCzmcBjBzHs3NFU+InGLwIl8wO1UnFYEMXM7FFrM4eb/wfpvLajG7pUxh8KKMM4sBnJZix67zx8BlTyoBH99rPY+l85QpLNigjFuwYIHaXBJQTICt8O2or6+P7vEFkSxAJk2apM+oNyi2OHnyZLSI489//rMq7LjsssvUeW+w2WYkYMmbb76pimuwJcuNN96ov0qUJjqIEWWEOYeCbMAurJxhPQ+H07kbunAIEG27WVRs6Xwqy3cRJaNv5A+PKCNQ2r5y5Up99u02+olgi/5Fixbps67nebWzcjbDBpPYoXrcuHHqHBtxrlmzRrUTQbaF2xAsa9eu1S2iNNFBjCjtzMIBJ1tumPM1nHNJnTmHhcNuEQbed/MGaDe2rCGyqw/+J/KHR5RWJ06ckCFDhugzkY6ODlvb65tb1APmytzeBj8XIQOz5g+Rib366quOP49Zs2bJ1q1bVZvIaxw2pIwwh5lCoZCtjhIBzwxceB4DlztQNIPgA++++2634dzeFBcXR5+HYUcEM6J0YOZFaXfo0CEZPXq0auMqf8+ePWr+JZGKigqpqalR7YULF8rGjRtVm9xx7NgxKSgo0Gci+/btk/Hjx+uzniX7eRKlgpkXpRWKNMy7M1AgYKeje+ONN6KBC375y1/qFrkFWWxdXZ0+E3n44YfV55XITTfdFC22QdZWW1ur2kReYvCitNqxY4caXgJ0eHau7NGBmoELHezgwYP1Gblpzpw50epDBCJ8XnY89thjuiVq7gxZHJGXGLwobVDibs6lYOjPDjPgoWNFB0veQBZslsvj87KTfWHO0szazJX9ibzA4EVp8+KLL6qrecA9QnaKLWLvBcMVPudTvIVs2CzesJt9mVkbMmUM9RJ5hcGL0gLDSGYp9ty5c1U7EXScVsBDh4rqNvKeecO43ewLFxXYO82CAGbneUTJYPCitDCHkZA92SmNB6xfaLG7AgelLtnsq6ioKDocjKFeu88jcorBizxnVgqiQ8QCsHbgeeZc149//GPVpvQwLxbMi4hEYrM2zHUSuY3BizyFYSOUXFvQsdmds7ICF3CuK/2QfVlzWPgs7M5hYS6zqqpKtZG1bdiwQbWJ3MTgRZ4y56wQuOyUxgOu1s3y+MLCQt2idDJL4HHzsV2LFy/WLZGlS5eydJ5cx+BFnkEAMpdzWrJkiW4ltnv3bt0SdRVvd46M3GVeNCAI2S3AwOeF5bss5oUIkRsYvMgz5nARSuOd3FhszrFMnDhRtyjdEITM+/H27t2rW4lhbtMq+kDBDkvnyU0MXuQJDBPhSh0wb4KFX+3CArxmoYbdoUbyxrx583RLpLm5WbcSwxylWbxhd7kpIjsYvMgT5jCR02KL9957T7dEZs+erVuUKdddd51uORs6BFx4WAEMc59btmxRbaJUMXiR65qamqL3dSVzY/Frr72mWxwy9IPYoUPsoeaE+dyysjKWzpMrGLzIVbgqX7ZsmT6TbivI22Vmbby3yx/Me/MOHz6sW/agdB5znhZzuS+iZDF4kaswLGSWxmO7DCfMkmpcsfPeLn8YNWqUbjkr2rBgztO6ZwwXJyydp1QxeJFrMByEYSGLeY+QXcePH9ctkdtuu023KNPMRZSTWTEeFyHm3wM2FiVKBYMXucYcDsL2GMncm2VWsw0bNky3yA/MuatkMifMfVql86gmxdwoUbLSHLz+Lu0Ni6VPnz7SZ/hq2f93/XAif98vq4dHntNnuJQ1tOoHXXTmmOxqeFk2VU7r+rdZR36ZrH55m+w69qX+RuoJOjNrrgrDQ8nuufXRRx/plsigQYN0i/zgxhtv1C2RU6dO6ZYz5hwo5kZZOm/H+UgXtVsaGjZK5aT8bn1Uftlqeblhtxw7c15/bzw+7XdTlNuZ1/l22V9XKZO+VyBTSubIguqYK8H2eimfM1umFIyUSZUNCf5Acps5DIRtMZKdqzKHpOzs90Xpk5+fr1siJ0+e1C1nMAdqls7X1taqNsV3vv0dqaucId8rmCQlJYukene7/kqX9vpymVMySQq+N0MqG47KGf14Lsjd4HXmiGy6p0jGzquWbxci6km77K4ukcL7X5CjDGAXaGhoiN5UjGEhbIuRDLOE2hpeIv8wizbeeust3XLOXCYMe7zhpnSKFcm2jtbJPWP+UebFXlTH1STVkQvw+zcdyZkAlpvB6/zH0vDQ3bKg/oh+YJSU1vxOtja3yblwWMLWcbpFdm6pkdK8ru9qr39c/nVDc05d3SSCYR9zrqu6ulq3nPv00091i1lXNsMyYZgTtaxdu1a3yHL+r1vlocnzpN5KtPJKpWbLH6W57etv+6fwOTnd8rpsqSmVri7qiNQveEw27P9CnWW9yJuQRmfDbaF7w/ixMqwm3HxWP5zI2eZwzbDIc2RYuDT0iX4wWV+HT4TuD0c+7K5/R+Hj4VDL3/TX4jvX1hR+vDCv6/tlTri25Sv9FVq3bp1+XyRcXl6uH01OS0tL9LXwuuQ/1uczbtw4/UhyOjs71WtYr3fw4EH9FQqfOx4OzR+l35u8cGFFKNxyOnJZ3aOvw207nwoX6vdSimrDLd2+3Q/9rvtyL/M6c0heWtcgXRc0/yQ1qyukeMRl6qwnffOmyvJnl0vXYNgWWVb7prCEo2sNQmtrf0imNN505IiVCXefXyH/se7lSxbmRDE3aknmZvbsdF7OHGyQdZv0/xcKy2X1k7NlRP/euuqLJW9ypTxbq4ukmv5Tand/O4qRrXIseJ2XL9/ZKs/oSc+8il/IojFXqHYifUfcKZWPPxRJ3UOy/tbL5X859dVtuAfbX3DbEnICc6Nm6TzmTukzeWfz7/Q8/BipePJnMqbXwGX5roz46WJ5fH6NbAk9IbdefjbS22W3HAte38j/HP+LzrrGyM+m3SC951ymgTJ5xb/Loz8tluJZYyQv93LWbsyt/VEab3drfwo2814vN5hzpJg7zfl1D89/KscPtXW184pk2lgHF4SXTZYVtY/KT3E/3Zi8rO/cM/f7fVAuY/t9e79Cr0e/sVL+gX5eSk7JkT0HuppO/zBsQLl43H9/Fh7mMM+aNWtcX8apf//+ukV+8v3vf1+33IHCHGw2ChiKHDBgQNy/t2w84q4ycvI92dOkR4Z+druMvczlLjoj/a43cjd/uPRKufzSHE+fUoCV32fOnClz5871ZL+ta6+9Vrco2915551q+HDKlCn6EYJLB10ul+o2XagPqjZ0Ow1wp/cDkl/yrD53apiUhl6XuuIh+typVmkomyQl9ZHLiWE10nz0URlzkf6SC7D7r1l0kM2wBqG1NxPmu5xuexIP5jxKSkpU263XJHchW7CGi93qOszXxLCk29mdX+G+udLSUn2mtTdIWX6JYB/xYTXNcvTRMZJ6F5XpftcjCF7pk+mSzU/CodJhzn8+XcAsa0fJM0qfUxUJWNHXRJv8JxJcop+RG1Aib72eW39HgdYWCkfCmXo/IsEr0mO6gaXyvnW+fb80rC6TfGusdlKlbNp1LM7NxJfIFVfp6sLOz+RvnSwZTBbmKrjMT+5JZkX53phzp6ksK5Y1/uEKuUovitB56m/S2dX0Jfv9rjcCHrysJVTGSkl5va4ijNhdLQumFModT/y3tHeLT/1lcMHQrmZ7kzQ2O6xsUgv4NkhDGj8gPzPv6+IyP+SUW8uKZZX++VLwo67o1f7Ca9L8pZMLbGsBX68XE3fa73oj2MHrfKs01ayW+vYiqXj+bWk7Zy2ZEpKKwsh7+W8bZcdf/k9/M3xXhk+Yrm823i8vNB52cLPxN/LXprXyLyUlUjJlmWw+Zr5ubsJ9XZibsqS6zI+5dt7Ro0d1i/wo1bUnURLv1rJiWaXvtTLhrgldbacX2OgPVz0oJSWzZcqDL8sxrwKI437XG4EOXuf/slOe3XRE8ioqZWnZzfreq77Sf8RsWfrkPMmTffJf+453u1mv7/Bb5a4ifWVT/Yw8Z3cdMHNljqLpMmH4d9XDuQ73d+E+L8Ck+6FDh1Q7VV98kSPrswWIuYdXqmtPvvjii9FVOlAqz7UsLd0vsKt//YLst7UYuLkyR54U3XWrDPeod0+m3/VCoINX3xHzpTEclrZVk+3fbNx3qEy7t1gvZPlHKb/jEdl0NEH+hRXo718g5WpljlEy/94pnv1hBA3mKHCflwVzGMnu0TRkyLfVTNwm3n86O7+dgbniCnsr08SDz9ZcVmzx4sW6RdB3+BS5d74ehdj9C7kj4W4WGMZ7Qe6/4xddK3PkFcu904Z61rkn1e96IAu74G+kff/vpOrXz0t7Ybms+OcRMb/kxfLD2eWy3vrjaN8kC64bL2WrX7xgLgsTktteXi1lI34UXYE+b/7T8qvZ12TjG5c03OdlrbyAOYwdO3aotlPmZL01F0L+8eGHH+qWyMiRI3XLObPoA8POXFYsRt9rZPavnpb5unCjvX6eXDfinjgb46Kve0VeXn2PjLjOWoE+cnG9vlxm//Bi9R3pk6jf9YCuOkwTL0s2vwq31M7pem21EnN9uLnta/21C3VfKd7mUfhUeGcvr5nLYkvnOzo69Fecwcr01uvgNck/qqqqop/Nvn379KPO4HnWa7A0vjcxK8XbOiL93uNN4bYLFqD3T7/rpixKIM7IiRbryhCbR5bK2Ln/Jrvav9GPdYeV4lds3yWhCjsVTnlSWBGSlu1PyuS8dF/RBEPsMj+Y00jG1VdfrVtdN0KTf3z00Ue6JXLNNdfoln0YTn744Yf1mTfLimUPrBT/pGxXRRA6BetVkVSEdsn2FVPTvO6qs37XTVkUvAbK5FXNyCQjx9fS9vZ6KW15SqbM/Y+eJzz7j5TiVTvUhm6h0HNx/kgifxC1W2Rr837Zuao4wbYEhLkLq3gDcxrJzFuZE/ec9/IPBB5zuA8bSjqF4WSrSAP3CHqxrFh2QRFEsax6/ai07NwqodoKiWRi3RVWSG0Im1Rul1XFIyX9K4Im0e+6ReVfWclKZ8eEK3ae0o+R18xVMpLZnNIcfpw1a5Z+lDLNXAkjmc8Vw8jW83FwSDhbpa/fZSpBrkLpvHUPEErnsXWKE2bmhaKNnN8iwycOHz6sW93vx7Nrw4YNuiWybt06lsZTygIcvM7Ll7uekPw++TJt09E49xRYY7FDpWAwt9dIF8xhWMtGAQKY09J5a+4M3n//fd2iTNq7d69uidxwww26ZQ+Gf5cuXaraGFbGTgQUVD7qd3UGFkyn3w7XoGIwrzT8zNtt4WiRzbm2cPPzFapSJ29+KHziguob8ppZNeh0kd3Gxsboc1HhRpkVO+TnFIZ/redyweUs4JN+N+BzXufCp5uf6bmclKXtGWPOXeFwUjof21mynDqzUrmYMJ+LIMbPMhv4o98N+JxXX+k/5iHZ3vK6bKkp1atmROSVSs2W11nankGY08DchsWc80gEN62a280fOKB3v6aMsPZtg4kTJ+pWYhguXrZsmT7rWn2FpfHZwB/9bpo3o6Rcgs4LnZ1VHh3JxmxP1Dc1Ncm0adNUG3NoXLg1M1Awg635LVgiym4AwuasZWVlqs3PkNzGakPyDDo5c9sUa7dcO8aOHatbXc9j1WFm/OEPf9CtrkIau4EL2+NYgQuWLFmiW0TuYPAiT2Erf6t0Hje52i2dx9ChWXVodqKUHsic169fr89EZs6cqVuJmdvjYPg4mZuaiXrDYUPyHLZJGT16tGqjVHrPnj22ruCTfR65AxcaEyZ07S2FC5CtW7eqdiL83CgdmHmR52666abovV+Y/7K76jyeZ2VtTp5H7jCHee+77z7dSszc2h/Dxgxc5AVmXpQWmAMx9+vq6OiwtRWGefXPq/j0SfZ9x9b+JSUlqu0kWyNyipkXpQXmPOrq6vSZdNsCvjdYvJXZV/qZWZfd7Ilb+1M6MXhR2syZM0ddxQM6R7urxpvLTaFzZOWht5A9WZuB4vPCepV2mFv74zPj+oXkJQYvShtcvS9fvlyfiVRUVOhW72Kzr2T3CqPEUGFoZk92s67Yrf3NWySIvMDgRWlVVFQUDUS4usfNyHaYQ1DJ7hVGiWGDSCt7wueEWx3sMPf6wvAwt/Ynr7Fgg9IOgaegoEC1nRQDIFOz5mLQsb700ku2nkf2mCXucPDgQVXxmQiLaigTmHlR2mEuxCydN9fO6w2Goqw5M2Rtdp9HiWG4cNGiRfqsazUNO4ELzzOLOzAszMBF6cDMizIids281tZWW6swmGsegt3sgHq3YsWKbntuJVMaj8WUN27cqNpEXmPmRRmBOZFQKKTPui8n1BvMmZnVh8gWWH2YGlwQWIELnnvuOVuBC++7FbjA/FyIvMbgRRmDEmxrGBBDT5hzsePpp5+OPg/DjpWVlWr4ipzD/KOZyWIdQruZrLnNDYYZWRpP6cRhQ8qoZNfPM4s+AJ3uAw88oM/IDqx6gmpCq7oQw37IgO1kXbHvv90VU4jcwsyLMgr3cFkbT6IIA3ModuAqv7GxUZ91lc+bK6BT75CpIoO1Ahcy2VWrVtkutjCLNDD8y8BFaYfMiyiTWlpakP2rI9KJOtoqPpJxRZ+LA9vOU+/w/kYuGLq9b/gM7DK39nf6eRG5hZkXZRyyKGvvLmQCtbW1qm0HhgrNQgHM32AokuJDxoWNIc2bivft22d7vgrPN7f2x03NLI2njNBBjCijOjo61FU8/iRxtLa26q8kFi+TCIVC+qtkifc+RQKX/qo9dXV10edGLhr0o0Tp952nzM13iDIEV++472vz5s3q/KKLLpKpU6eqdiL9+vVT33vy5Ek5cOCAegyvM3DgQLn55pvVea5DWfsjjzxyQcaFOUe78Bo/+clP9JnIb3/722736hGllQ5iRBmHzGDWrFlJZwXxMouqqqqcn5NBFmtmtTicvreATMt6PuYaiTKJwYt8BZ2q1UEikDkNPPh+BCzrNXAgoDkZhswmeD/dCFwHDx6MPh+vh2Feokxi8CLfMa/wk527iq1CRIebTKcdVAji8d4DBKFkmBkx5xPJDxi8yHdiS+eTvco3szjryIVhRGSZscOnCD7JZp8IVubr5PowLPkDgxf5kpk1pDK/gg7bzBpwpJKB+BmCihlorCOVgI3n4f2yXisb3zcKJgYv8qXYTtPJTbSx8Fqx82A4MDyZLXM3CCrxgnSqN22bFxEsjSc/YfAi3zKzCDc6TnTwZkC0DnTQQQ1iCOrmHKF14LFUi1TM4VscuVr0Qv7E4EW+ZmYTbhRcIAuLLWSwjiAFsZ6ClhvZlsV8/VSGbom8wOBFvoZsyeyYk527idVT548DHXUqw5Rewe+OAB5bjGH+u916f8xiFzffdyK3MHiR75lBxu0y7XhzRdaBx/HzMp2N4d+IwBRvyBOH2xkjApX5nrj9nhO5gft5ke9h36khQ4boM2/2jsL+VFg6ydzqwxTJduS2226TW265xfNNF7H4bSTzU8s31dfXR7ctiRUJWjJ37lzX3wtza/9IELO9xxpROjF4USCgEy8rK1PtqqoqeeKJJ1TbbQiU6Kx7CxoQyQZl1KhRMmzYMBk0aFDSAQ2BqrW1VY4fP64C6J/+9Kdu6w/GQjC57777VCD1YjV3rF9orleIIOp1sCZKBoMXBQI6+YkTJ0YDSjo6VWytsmfPHlm6dKl+JDEENQuyNFNbW5t88sknqv3555/3GqRMCFjY8Xjy5MkyePBg/ag3VqxYEf198btUV1erNpHfMHhRYDQ1Nan9ugDDeBs3blTtdDh06JAcPnxY9u7dazvopAKBA8EPq+J7HbAs3NqfgoTBiwJl9uzZsm3bNtVubGyUoqIi1U4na6jvyJEj0Wyqp7myRMaNGyeFhYVqCPKqq66Sa6+9NmPDdD//+c+jgbmurk5KS0tVm8iPGLwoUMzsAB0/hvX8tJMv5sw6Ozv1Wc+w15ifshozq/Xj+0oUi8GLAqeioiKa6TBDSF3sfGKmMloiJxi8KHBiK+I4N5Mas5Iz3XOJRMnqq/9LFBgIVKFQSJ+JrFy5UrfIKVwIWIELzGpJIj9j8KJAmjFjhpqbAQwhYi6MnDMDP+6f4z1dFBQcNqTAwn1YEyZMUG2uBOEcS+MpyJh5UWCNHz9ezdEAyudRMUf2ofDFgmFYBi4KEmZeFGh+L533K3P9Qr5vFETMvCjQMEeDuRpAqXdtba1qU89QGm/Oda1Zs4aBiwKHmRcFHirmpk+froLX9ddfLzNnztRfoXhOnTolzz//vGpz/UIKKgYvygrWMBjWAnznnXf0o9QT633iqvEUVAxelBUwFHbXXXfJ9u3b9SOUCIYOKysr9RlRsDB4ERFR4LBgg4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAofBi4iIAkbk/wEFjD5e/TZ1KgAAAABJRU5ErkJggg==\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"314\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bromine reacts with alkanes.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the number of 1H NMR signals for this isomer of xylene and the ratio in which they appear.</span></p>\n<p><span style=\"background-color: #ffffff;\">Number of signals:</span><span style=\"background-color: #ffffff;\"><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Ratio:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the structure of one other isomer of xylene which retains the benzene ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the initiation step of the reaction and its conditions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">1,4-dimethylbenzene reacts as a substituted alkane. Draw the structures of the two products of the overall reaction when one molecule of bromine reacts with one molecule of 1,4-dimethylbenzene.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Number of signals:<br/>2  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">Ratio:<br/>3 : 2<br/><em><strong>OR</strong></em><br/>6 : 4 <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">Note: </strong>Accept any correct integer or fractional ratio. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept ratios in reverse order.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"134\" 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\" width=\"322\"/>   <strong>[<span style=\"background-color: #ffffff;\">✔]</span></strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Br2 → 2Br•  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«sun»light/UV/hv<br/><em><strong>OR</strong></em><br/>high temperature  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Do <strong>not</strong> penalize missing radical symbol on Br.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “homolytic fission of bromine” for M1.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"62\" src=\"data:image/png;base64,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\" width=\"178\"/>  <strong>[</strong><span style=\"background-color: #ffffff;\"><strong>✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">HBr  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept condensed formulae, such as CH<sub>3</sub>C<sub>6</sub>H<sub>4</sub>CH<sub>2</sub>Br.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept skeletal structures.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most students gained M1 but very few gained M2, suggesting that the correct answer of 2 signals may have been a guess.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another isomer of xylene was generally correctly drawn, but some candidates drew the original compound.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing or describing the homolytic fission of bromine was generally done well.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few students gained 2 marks finding hard to apply their knowledge of free radical substitution to a benzene containing compound. Many thought that the bromine will attach to the benzene ring or would substitute the alkyl group twice and not produce HBr.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-3-electron-sharing-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.10",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Ascorbic acid and retinol are two important vitamins.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Explain why ascorbic acid is soluble in water and retinol is not. Use section 35 of the data booklet.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The melting points of cocoa butter and coconut oil are 34 °C and 25 °C respectively.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Explain this in terms of their saturated fatty acid composition.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    ascorbic acid:\n   </em>\n   many hydroxyl/OH groups\n   <em>\n    <strong>\n     AND\n    </strong>\n    retinol\n   </em>\n   : few/one hydroxyl/OH group\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    ascorbic acid\n   </em>\n   : many hydroxyl/OH groups\n   <em>\n    <strong>\n     AND\n    </strong>\n    retinol\n   </em>\n   : long hydrocarbon chain\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    ascorbic acid\n   </em>\n   : «many» H-bond with water\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   <em>\n    retinol\n   </em>\n   : cannot «sufficiently» H-bond with water\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Do\n    <strong>\n     not\n    </strong>\n    accept “OH\n    <sup>\n     −\n    </sup>\n    /hydroxide”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   coconut oil has higher content of lauric/short-chain «saturated» fatty acids\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   cocoa butter has higher content of stearic/palmitic/longer chain «saturated» fatty acids\n   <strong>\n    [\n   </strong>\n   ✔\n   <strong>\n    ]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   longer chain fatty acids have greater surface area/larger electron cloud\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   stronger London/dispersion/instantaneous dipole-induced dipole forces «between triglycerides of longer chain saturated fatty acids»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Do\n    <strong>\n     not\n    </strong>\n    accept arguments that relate to melting points of saturated and unsaturated fats.\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  Another instance where candidates insist on discussing water solubility in terms of polarity or hydrophilicity rather than its fundamental dependence on the presence of sufficient groups that can form hydrogen bonds to water. A few however gained a mark through pointing out the significance of the –OH groups in ascorbic acid and the long hydrocarbon chain in retinol.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Candidates had difficulty explaining the melting points of fats in terms of length of carbon chain, and referred instead to an explanation of saturated and unsaturated fat structures.\n </p>\n</div>\n",
+    "topics": [
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.13",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Show that, for combustion of equal masses of fuel, ethanol (\n    <em>\n     M\n     <sub>\n      r\n     </sub>\n    </em>\n    = 46 g mol\n    <sup>\n     −1\n    </sup>\n    ) has a lower carbon footprint than octane (\n    <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     M\n    </span>\n    <sub style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     r\n    </sub>\n    = 114 g mol\n    <sup>\n     −1\n    </sup>\n    ).\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Biodiesel containing ethanol can be made from renewable resources.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     one\n    </strong>\n    environmental disadvantage of producing biodiesel from renewable resources.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Alternative 1\n    </strong>\n   </em>\n   <br/>\n   C\n   <sub>\n    2\n   </sub>\n   H\n   <sub>\n    5\n   </sub>\n   OH (l) + 3O\n   <sub>\n    2\n   </sub>\n   (g) → 2CO\n   <sub>\n    2\n   </sub>\n   (g) + 3H\n   <sub>\n    2\n   </sub>\n   O (l) / 1 mol ethanol produces 2 mol CO\n   <sub>\n    2\n   </sub>\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   C\n   <sub>\n    8\n   </sub>\n   H18 (l) + 12.5O\n   <sub>\n    2\n   </sub>\n   (g) → 8CO\n   <sub>\n    2\n   </sub>\n   (g) + 9H\n   <sub>\n    2\n   </sub>\n   O (l) / 1 mol octane produces 8 mol CO\n   <sub>\n    2\n   </sub>\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   For 1 g of fuel:\n   <br/>\n   «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{\\text{1g}}}}{{{\\text{46 g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <mtext>\n         1g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <mtext>\n         46 g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   × 2 mol CO\n   <sub>\n    2\n   </sub>\n   (g) =» 0.04 «mol CO\n   <sub>\n    2\n   </sub>\n   (g)» from ethanol\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{\\text{1g}}}}{{{\\text{114 g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <mtext>\n         1g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <mtext>\n         114 g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   × 8 mol CO\n   <sub>\n    2\n   </sub>\n   (g) =» 0.07 «mol CO\n   <sub>\n    2\n   </sub>\n   (g)» from octane\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Alternative 2\n    </strong>\n   </em>\n   <br/>\n   ratio of C in ethanol:octane is 2:8, so ratio in carbon dioxide produced per mole will be 1:4\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   ratio amount of fuel in 1 g =\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{1}{{46}}:\\frac{1}{{114}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        46\n       </mn>\n      </mrow>\n     </mfrac>\n     <mo>\n      :\n     </mo>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        114\n       </mn>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   = 2.5:1\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   4 &gt; 2.5 so octane produces more carbon dioxide\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   ratio of amount of carbon dioxide = 2.5:4 = 1:1.61 so octane produces more «for combustion of same mass»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use of «farm» land «for production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   deforestation «for crop production for fuel»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   can release more NO\n   <sub>\n    x\n   </sub>\n   «than normal fuel on combustion»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Ignore any reference to cost.\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  A question that gave the opportunity for a variety of different approaches. This challenge was beyond all but the best students, though there were a number of well argued responses.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Many students did not take into account “production from renewable resources” and answered in terms of the combustion of biodiesel, though about a third correctly identified the area of land biofuel crops require.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about peroxides.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Hydrogen peroxide decomposes to water and oxygen when a catalyst such as potassium iodide, KI, is added.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2H<sub>2</sub>O<sub>2</sub> (aq) <span class=\"mjpage\"><math alttext=\"\\xrightarrow{{{\\text{KI (aq)}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mover>\n<mo>→</mo>\n<mpadded lspace=\"0.278em\" voffset=\".15em\" width=\"+0.611em\">\n<mrow>\n<mrow>\n<mtext>KI (aq)</mtext>\n</mrow>\n</mrow>\n</mpadded>\n</mover>\n</math></span> O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why many chemicals, including hydrogen peroxide, are kept in brown bottles instead of clear colourless bottles.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">In a laboratory experiment solutions of potassium iodide and hydrogen peroxide were mixed and the volume of oxygen generated was recorded. The volume was adjusted to 0 at t = 0.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"159\" src=\"data:image/png;base64,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\" width=\"268\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The data for the first trial is given below.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"143\" src=\"data:image/png;base64,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\" width=\"260\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Plot a graph on the axes below and from it determine the average rate of formation of oxygen gas in cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"601\" src=\"data:image/png;base64,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\" width=\"371\"/></span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Average rate of reaction:</span></span></span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Additional experiments were carried out at an elevated temperature. On the axes below, sketch Maxwell–Boltzmann energy distribution curves at two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"257\" 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\" width=\"393\"/></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Apart from a greater frequency of collisions, explain, by annotating your graphs in (b)(ii), why an increased temperature causes the rate of reaction to increase.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> is another possible catalyst for the reaction. State the IUPAC name for MnO<sub>2</sub>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on why peracetic acid, CH<sub>3</sub>COOOH, is always sold in solution with ethanoic acid and hydrogen peroxide.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">H<sub>2</sub>O<sub>2</sub> (aq) + CH<sub>3</sub>COOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌</mo>\n</math></span> CH<sub>3</sub>COOOH (aq) + H<sub>2</sub>O (l)</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Sodium percarbonate, 2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>, is an adduct of sodium carbonate and hydrogen peroxide and is used as a cleaning agent.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><em>M</em><sub>r</sub> (2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>) = 314.04</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage by mass of hydrogen peroxide in sodium percarbonate, giving your answer to two decimal places.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">decomposes in light  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “sensitive to light”.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"612\" src=\"data:image/png;base64,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\" width=\"381\"/></p>\n<p><span style=\"background-color: #ffffff;\">points correctly plotted  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">best fit line <em><strong>AND</strong> </em>extended through (to) the origin  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Average rate of reaction:</em><br/>«slope (gradient) of line =» 0.022 «cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept range 0.020–0.024cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"247\" src=\"data:image/png;base64,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\" width=\"394\"/></p>\n<p><span style=\"background-color: #ffffff;\">peak of T<sub>2</sub> to right of <em><strong>AND</strong> </em>lower than T<sub>1</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">lines begin at origin <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>E<sub>a</sub></em> marked on graph  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">explanation in terms of more “particles” with <em>E ≥ E<sub>a</sub></em><br/><em><strong>OR</strong></em><br/>greater area under curve to the right of <em>E<sub>a</sub></em> in T<sub>2</sub>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">manganese(IV) oxide<br/><em><strong>OR</strong></em><br/>manganese dioxide  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “manganese(IV) dioxide”.</span></em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">move «position of» equilibrium to right/products  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept “reactants are always present as the reaction is in equilibrium”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">M (H<sub>2</sub>O<sub>2</sub>) «= 2 × 1.01 + 2 × 16.00» = 34.02 «g»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«% H<sub>2</sub>O<sub>2</sub> = 3 × <span class=\"mjpage\"><math alttext=\"\\frac{{34.02}}{{314.04}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>34.02</mn>\n</mrow>\n<mrow>\n<mn>314.04</mn>\n</mrow>\n</mfrac>\n</math></span> × 100 =» 32.50 «%»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The explanation that the brown bottle prevented light causing a decomposition of the chemical was well answered but some incorrectly suggested it helped to stop mixing up of chemicals <em>e.g.</em> acid/water/peroxide.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The graphing was disappointing with a surprising number of students missing at least one mark for failing to draw a straight line or for failing to draw the line passing through the origin. Also some were unable to calculate the gradient.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The drawing of the two curves at T1 and T2 was generally poorly done.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Explaining why temperature increase caused an increase in reaction rate was generally incorrectly answered with most students failing to mention “activation energy” in their answer or failing to annotate the graph.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many could correctly name manganese(IV)oxide, but there were answers of magnesium(IV) oxide or manganese(II) oxide.</p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Suggesting why peractic acid was sold in solution was very poorly answered and only a few students mentioned equilibrium and, if they did, they thought it would move to the left to restore equilibrium.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Calculating the % by mass was generally well answered although some candidates started by using rounded values of atomic masses which made their final answer unprecise.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Both vinegar (a dilute aqueous solution of ethanoic acid) and bleach are used as cleaning agents.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Bleach reacts with ammonia, also used as a cleaning agent, to produce the poisonous compound chloramine, NH<sub>2</sub>Cl.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ethanoic acid is classified as a weak acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A solution of bleach can be made by reacting chlorine gas with a sodium hydroxide solution.</span></p>\n<p><span style=\"background-color: #ffffff;\">Cl2 (g) + 2NaOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌</mo>\n</math></span> NaOCl (aq) + NaCl (aq) + H<sub>2</sub>O (l)</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest, with reference to Le Châtelier’s principle, why it is dangerous to mix vinegar and bleach together as cleaners.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw a Lewis (electron dot) structure of chloramine.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the molecular geometry of chloramine and estimate its H–N–H bond angle. </span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Molecular geometry:</span></p>\n<p><span style=\"background-color: #ffffff;\">H–N–H bond angle:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">partial dissociation «in aqueous solution»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ethanoic acid/vinegar reacts with NaOH  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">moves equilibrium to left/reactant side <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">releases Cl<sub>2</sub> (g)/chlorine gas<br/><em><strong>OR</strong></em><br/>Cl<sub>2</sub> (g)/chlorine <span style=\"text-decoration: underline;\">gas</span> is toxic  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “ethanoic acid produces H<sup>+</sup> ions”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept “ethanoic acid/vinegar reacts with NaOCl”.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “2CH<sub>3</sub>COOH + NaOCl + NaCl → 2CH<sub>3</sub>COONa + Cl<sub>2</sub> + H<sub>2</sub>O” as it </span></em><em><span style=\"background-color: #ffffff;\">does not refer to equilibrium.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept suitable molecular or ionic equations for M1 and M3.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/>  <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<p> </p>\n<p><em><strong>Note:</strong> <span style=\"background-color: #ffffff;\">Accept any combination of dots/crosses or lines to represent electron pairs.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Molecular geometry:</em><br/>«trigonal» pyramidal  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>H–N–H bond angle:</em><br/>107°  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept angles in the range of 100–109.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The definition of a weak acid was generally correct.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Explaining why it was dangerous to mix chlorine with vinegar was not well answered but most students gained at least one mark for stating that “chlorine gas will be produced”, but couldn’t link it to equilibrium ideas.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The Lewis structure of chloramine was correct for strong candidates, but many made the mistake of omitting electron pairs on N and Cl.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The molecular geometry and bond angles often did not correspond to each other with quite a few candidates stating trigonal planar and then 107 for the angle.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">This question is about iron.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the nuclear symbol notation, <span class=\"mjpage\"><math alttext=\"{}_{\\text{Z}}^{\\text{A}}{\\text{X}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mtext>Z</mtext>\n</mrow>\n<mrow>\n<mtext>A</mtext>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>X</mtext>\n</mrow>\n</math></span>, for iron-54.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Mass spectrometry analysis of a sample of iron gave the following results:</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"136\" src=\"data:image/png;base64,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\" style=\"margin-right:auto;margin-left:auto;display: block;\" width=\"190\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Calculate the relative atomic mass, A<sub>r</sub>, of this sample of iron to two decimal places.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">An iron nail and a copper nail are inserted into a lemon.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"204\" 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\" width=\"312\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Explain why a potential is detected when the nails are connected through a voltmeter.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{}_{{\\text{26}}}^{{\\text{54}}}{\\text{Fe}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>26</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>54</mtext>\n</mrow>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Fe</mtext>\n</mrow>\n</math></span></span>  <strong>[<span style=\"background-color: #ffffff;\">✔</span>]</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 54 × 0.0584 + 56 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.9168 + 57 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.0217 + 58 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 0.0031<br/><em><strong>OR</strong></em><br/>«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 55.9111  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">A</span><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">r</sub> =» 55.91 <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\">Notes:</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Award [2] for correct final answer.<br/>Do not accept data booklet value (55.85).</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">lemon juice is the electrolyte<br/><em><strong>OR</strong></em><br/>lemon juice allows flow of ions<br/><em><strong>OR</strong></em><br/>each nail/metal forms a half-cell with the lemon juice  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note: </strong>Accept “lemon juice acts as a salt bridge”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\"><em>Any one of</em>:<br/>iron is higher than copper in the activity series<br/><em><strong>OR</strong></em><br/>each half-cell/metal has a different redox/electrode potential  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “iron is more reactive than copper”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\">iron is oxidized<br/><em><strong>OR</strong></em><br/>Fe → Fe<sup>2+</sup> + 2e<sup>–</sup><br/><em><strong>OR</strong></em><br/>Fe → Fe<sup>3+</sup> + 3e<sup>−</sup><br/><em><strong>OR</strong></em><br/>iron is anode/negative electrode of cell  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">copper is cathode/positive electrode of cell<br/><em><strong>OR</strong></em><br/>reduction occurs at the cathode<br/><em><strong>OR</strong></em><br/>2H<sup>+</sup> + 2e<sup>−</sup> → H<sub>2</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">electrons flow from iron to copper  <strong>[✔]</strong></span></p>\n<p><em><strong> </strong></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Notes:<br/>Accept “lemon juice acts as a salt bridge”.<br/>Accept “iron is more reactive than copper”.</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The nuclear symbol notation was generally correct. However, some students swapped atomic and mass numbers and hence lost the mark.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Calculation of RAM was generally correctly calculated, but some candidates did not give their answer to two decimal places while they should use the provided periodic table.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few students gained the 2 marks available for explaining the potential generated in the lemon as they didn’t realise it was the lemon that acted as the electrolyte and allowed ions to flow. Some were able to gain a mark for explaining that electrons moved from iron to copper as iron is more reactive.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-2-the-nuclear-atom"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw a circle around the functional group formed between the amino acids and state its name.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    <img height=\"171\" src=\"data:image/png;base64,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\" width=\"327\"/>\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Name:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Calculate the energy released, in kJ g\n    <sup>\n     −1\n    </sup>\n    , when 3.49 g of starch are completely combusted in a calorimeter, increasing the temperature of 975 g of water from 21.0 °C to 36.0 °C. Use section 1 of the data booklet.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"178\" 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\" width=\"322\"/>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Name\n   </em>\n   :\n   <br/>\n   amide/amido/carboxamide\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept “peptide bond/linkage”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    q\n   </em>\n   = «\n   <em>\n    mc\n   </em>\n   ΔT = 975 g × 4.18 J g\n   <sup>\n    –1\n   </sup>\n   K\n   <sup>\n    –1\n   </sup>\n   × 15.0 K =» 61 100 «J» / 61.1 «kJ»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «heat per gram =\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{61.1{\\text{ kJ}}}}{{3.49{\\text{ g}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        61.1\n       </mn>\n       <mrow>\n        <mtext>\n         kJ\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mn>\n        3.49\n       </mn>\n       <mrow>\n        <mtext>\n         g\n        </mtext>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   <em>\n    =\n   </em>\n   » 17.5 «kJ g\n   <sup>\n    –1\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Award\n    <strong>\n     [2]\n    </strong>\n    for correct final answer.\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Many candidates correctly circled the bond between the amino acid residues, though in some cases their circle missed out key atoms. Many correctly identified it as a peptide or amide linkage.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The incorrect mass was frequently used when calculating energy released from combustion of starch in a calorimeter. Those who used the mass of water correctly frequently stopped when energy in kJ or J was calculated, and did not seem to notice that the question asked for the energy to be calculated in kJg\n  <sup>\n   −1\n  </sup>\n  so a further calculation was required.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-1-measuring-enthalpy-changes",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.13",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    State\n    <strong>\n     one\n    </strong>\n    greenhouse gas, other than carbon dioxide.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    approach to controlling industrial emissions of carbon dioxide.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   methane, water, nitrous oxide/nitrogen(I) oxide, ozone, CFCs, sulfur hexafluoride\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept formulas.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “NO\n    <sub>\n     2\n    </sub>\n    ”, “NO\n    <sub>\n     x\n    </sub>\n    ”, “oxides of sulfur”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   capture where produced «and stored»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use scrubbers to remove\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use as feedstock for synthesizing other chemicals\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   carbon credit/tax/economic incentive/fines/country specific action\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use alternative energy\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   stop/reduce use of fossil fuels for producing energy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   use carbon reduced fuels «such as methane»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   increase efficiency/reduce energy use\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This question was well answered.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This question was reasonably answered although there were many students who gave vague answers that did not receive marks. Carbon cannot be “filtered out” and the process of “carbon capture or scrubbing” is different from filtering.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>\n<p><span style=\"background-color: #ffffff;\">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>\n<p><span style=\"background-color: #ffffff;\">The x-axis and y-axis are shown with arbitrary units.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"342\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"704\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\">Sketch, on the axes in question 2, the graph that you would expect.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The experiment gave an error in the rate because the pressure gauge was inaccurate. Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"259\" src=\"data:image/png;base64,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\" width=\"400\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">increase in the amount/number of moles/molecules «of gas»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">from 2 to 3/by 50 %  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«rate of reaction decreases»<br/>concentration/number of molecules in a given volume decreases<br/><em><strong>OR</strong></em><br/>more space between molecules  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">collision rate/frequency decreases<br/><em><strong>OR</strong></em><br/>fewer collisions per second/unit time  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"253\" 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\" width=\"538\"/></p>\n<p><span style=\"background-color: #ffffff;\">smaller initial gradient  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor»  <strong>[✔]</strong></span></p>\n<p> </p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">no <em><strong>AND</strong> </em>it is a systematic error/not a random error<br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong></em> «a similar magnitude» error would occur every time  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"278\" src=\"data:image/png;base64,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\" width=\"426\"/></p>\n<p><span style=\"background-color: #ffffff;\">catalysed and uncatalysed Ea marked on graph AND with the catalysed being at lower energy  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E &gt; E<sub>a</sub><br/><em><strong>OR</strong></em><br/>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub>  <strong>[✔]</strong></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><strong>Note:</strong> Accept “more molecules have the activation energy”.</span></em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the candidates gave the full answer. Some only gained the first marking point (M1) by recognizing the increase in the number of moles of gas. Some candidates wrote vague answers that did not receive credit such as “pressure increases as more gaseous products form” without explicitly recognizing that the reactants have fewer moles of gas than the products. Some candidates mistook it for a system at equilibrium when the pressure stops changing (although a straight arrow is shown in the equation). A teacher commented that the wording of the question was rather vague “not clear if question is asking about stoichiometry (<em>i.e.</em> how 200 &amp; 300 connect to coefficients) or rates (<em>i.e.</em> explain graph shape)”. We did not see a discussion of the slope of the graph with time and most candidates understood the question as it was intended.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half of the candidates obtained the mark allocated for “less frequent collisions” at lower pressure, but only strong candidates explained that this was due to the lower concentration or increased spacing between molecules. Some candidates talked about a decrease in kinetic energy and they did not show a good understanding of collision theory. Some candidates lost M1 for stating “fewer collisions” without reference to time or probability.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question. Candidates usually obtained only one of the two marks allocated for the answer. Most of them scored the mark for a lower initial slope at low temperature, while others scored a mark for sketching their curve below the original curve as all pressures (initial and final) will be lower at the lower temperature. A teacher commented that the wording was unclear “sketch on the axes in question 2”, and it would have been better to label the graph instead.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well answered by nearly 70 % of the candidates reflecting a good understanding of the impact of systematic errors. Some students did not gain the mark because of an incomplete answer. The question raised much debate among teachers. They worried if the error was clearly a systematic one. However, a high proportion of candidates had very clear and definite answers. In Spanish and French, the wording was a bit ambiguous which caused the markscheme in these languages to be more opened.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question discriminated very well between high-scoring and low-scoring candidates. About half of the candidates annotated the Maxwell-Boltzmann distribution to show the effect of the catalyst. Some left it blank and some sketched a new distribution that would be obtained at a higher temperature instead. The majority of candidates knew that the catalyst provided an alternative route with lower <em>E</em><sub>a</sub> but only stronger candidates related it to the annotation of the graph and used the accurate language needed to score M2. A common mistake was stating that molecules have higher kinetic energy when a catalyst is added.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "structure-1-5-ideal-gases",
+      "tool-1-experimental-techniques",
+      "tool-2-technology",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Dinitrogen monoxide, N<sub>2</sub>O, causes depletion of ozone in the stratosphere.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Different sources of N<sub>2</sub>O have different ratios of <sup>14</sup>N:<sup>15</sup>N.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why ozone in the stratosphere is important.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State one analytical technique that could be used to determine the ratio of <sup>14</sup>N:<sup>15</sup>N.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of gas was enriched to contain 2 % by mass of <sup>15</sup>N with the remainder being <sup>14</sup>N.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the relative molecular mass of the resulting N<sub>2</sub>O.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, giving <strong>two</strong> reasons, how the first ionization energy of <sup>15</sup>N compares with that of <sup>14</sup>N.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why it is surprising that dinitrogen monoxide dissolves in water to give a neutral solution.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">absorbs <span style=\"text-decoration: underline;\">UV/ultraviolet</span> light «of longer wavelength than absorbed by O<sub>2</sub>»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">mass spectrometry/MS  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">« <span class=\"mjpage\"><math alttext=\"\\frac{{(98 \\times 14) + (2 \\times 15)}}{{100}} = \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>98</mn>\n<mo>×</mo>\n<mn>14</mn>\n<mo stretchy=\"false\">)</mo>\n<mo>+</mo>\n<mo stretchy=\"false\">(</mo>\n<mn>2</mn>\n<mo>×</mo>\n<mn>15</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mrow>\n<mn>100</mn>\n</mrow>\n</mfrac>\n<mo>=</mo>\n</math></span>» 14.02  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«<em>M<sub>r</sub></em> = (14.02 × 2) + 16.00 =» 44.04  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two</em>:<br/>same <em><strong>AND</strong> </em>have same nuclear charge/number of protons/Z<sub>eff</sub>  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>neutrons do not affect attraction/ionization energy/Z<sub>eff</sub><br/><em><strong>OR</strong></em><br/>same <em><strong>AND</strong> </em>neutrons have no charge <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>same attraction for «outer» electrons <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">same <em><strong>AND</strong> </em>have same electronic configuration/shielding <strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">[✔]</strong></span></p>\n<p> </p>\n<p><span style=\"font-size: 14px;\"><em><span style=\"background-color: #ffffff;\"><strong style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> Note:</strong> Accept “almost the same”.<br/>“same” only needs to be stated once.</span></em></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">oxides of nitrogen/non-metals are «usually» acidic  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>60 % of the candidates were aware that ozone in the atmosphere absorbs UV light. Some candidates did not gain the mark for not specifying the type of radiation absorbed.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered. More than half of the candidates stated mass spectrometry is used to determine the ratio of the isotopes.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates successfully calculated the relative atomic mass of nitrogen in the sample. M2 was awarded independently of M1, so candidates who calculated the relative molecular mass using the <em>A</em><sub>r</sub> of nitrogen in the data booklet (14.01) were awarded M2. Many candidates scored both marks.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question for many candidates, while stronger candidates often showed clarity of thinking and were able to conclude that the ionization energies of the two isotopes must be the same and to provide two different reasons for this. Some candidates did realize that the ionization energies are similar but did not give the best reasons to support their answer. Many candidates thought the ionization energies would be different because the size of the nucleus was different. Some teachers commented that the question was difficult while others liked it because it made students apply their knowledge in an unfamiliar situation. The question had a good discrimination index.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only a quarter of the candidates answered correctly. Some simply stated that N<sub>2</sub>O forms HNO<sub>3</sub> with water which did not gain the mark.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-2-the-nuclear-atom",
+      "structure-2-2-the-covalent-model",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Rhenium, Re, was the last element with a stable isotope to be isolated.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">One chloride of rhenium has the empirical formula ReCl<sub>3</sub>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Before its isolation, scientists predicted the existence of rhenium and some of its properties.</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest the basis of these predictions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe how the relative reactivity of rhenium, compared to silver, zinc, and copper, can be established using pieces of rhenium and solutions of these metal sulfates.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the name of this compound, applying IUPAC rules.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage, by mass, of rhenium in ReCl<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">gap in the periodic table<br/><em><strong>OR</strong></em><br/>element with atomic number «75» unknown<br/><em><strong>OR</strong></em><br/>break/irregularity in periodic trends  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«periodic table shows» regular/periodic trends «in properties»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">place «pieces of» Re into each solution  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">if Re reacts/is coated with metal, that metal is less reactive «than Re»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Accept other valid observations such as “colour of solution fades” or “solid/metal appears” for “reacts”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">rhenium(III) chloride<br/><em><strong>OR</strong></em><br/>rhenium trichloride  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<em>M<sub>r</sub></em> ReCl<sub>3</sub> = 186.21 + (3 × 35.45) =» 292.56  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«100 × <span class=\"mjpage\"><math alttext=\"\\frac{{186.21}}{{292.56}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>186.21</mn>\n</mrow>\n<mrow>\n<mn>292.56</mn>\n</mrow>\n</mfrac>\n</math></span>=» 63.648 «%»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This nature of science question generated a lot of discussion among teachers. Some in support of such questions and others concerned that it takes a lot of time for candidates to know how to answer. Some teachers thought it was unclear what the question was asking. It is pleasing that about a quarter of the candidates answered both parts successfully and many candidates gained one mark usually for “periodic trends”. However, some candidates only focused on one part of the question. Quite a few candidates discussed isotopes, probably thrown off by the stem. A teacher was concerned that since transition metals are not part of the SL syllabus that Re was a bad choice, however, the question did not really require any transition metal chemistry to be answered.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was a good discriminator between high-scoring and low-scoring candidates. It was well answered by more than half of the candidates who had obviously carried out such displacement reactions and interpreted the outcomes during the course. Some candidates did not state the obvious of dipping the metal into the sulfates.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>More than half of the candidates named ReCl<sub>3</sub> correctly. Common mistakes included “rhenium chloride” and “trichlororhenium”.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates calculated the percentage, by mass, of rhenium in ReCl<sub>3</sub> correctly. Some rounding errors were seen that students should be more careful with.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbonated water is produced when carbon dioxide is dissolved in water under pressure.</span></p>\n<p><span style=\"background-color: #ffffff;\">The following equilibria are established.</span></p>\n<p><img height=\"87\" 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\" width=\"517\"/></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide acts as a weak acid.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Soda water has sodium hydrogencarbonate, NaHCO<sub>3</sub>, dissolved in the carbonated water.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish between a weak and strong acid.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\">Weak acid: </span></p>\n<p><span style=\"background-color: #ffffff;\">Strong acid:</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The hydrogencarbonate ion, produced in Equilibrium (2), can also act as an acid.</span></p>\n<p><span style=\"background-color: #ffffff;\">State the formula of its conjugate base.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">When a bottle of carbonated water is opened, these equilibria are disturbed.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, how a decrease in pressure affects the position of Equilibrium (1).</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Predict, referring to Equilibrium (2), how the added sodium hydrogencarbonate affects the pH.(Assume pressure and temperature remain constant.)</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">100.0 cm<sup>3</sup> of soda water contains 3.0 × 10<sup>−2</sup> g NaHCO<sub>3</sub>.</span></p>\n<p><span style=\"background-color: #ffffff;\">Calculate the concentration of NaHCO<sub>3</sub> in mol dm<sup>−3</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the type of bonding in sodium hydrogencarbonate.</span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between sodium and hydrogencarbonate:</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Between hydrogen and oxygen in hydrogencarbonate:</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Weak acid</em>: partially dissociated/ionized «in solution/water»<br/><em><strong>AND</strong></em><br/><em>Strong acid</em>: «assumed to be almost» completely/100 % dissociated/ionized «in solution/water»  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">CO<sub>3</sub><sup>2–</sup>  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">shifts to left/reactants <em><strong>AND</strong> </em>to increase amount/number of moles/molecules of gas/CO<sub>2</sub> (g)  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«additional HCO<sub>3</sub><sup>–</sup>» shifts position of equilibrium to left  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">pH increases  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong></span></em><span style=\"background-color: #ffffff;\"><strong> <em> </em></strong><em>Do <strong>not</strong> award M2 without any justification in terms of equilibrium shift in M1.</em></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«molar mass of NaHCO<sub>3</sub> =» 84.01 «g mol<sup>–1</sup>»  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\">«concentration = <span class=\"mjpage\"><math alttext=\"\\frac{{3.0 \\times {{10}^{ - 2}}{\\text{ g}}}}{{84.01{\\text{ g mo}}{{\\text{l}}^{ - 1}}}} \\times \\frac{1}{{0.100{\\text{ d}}{{\\text{m}}^3}}} = \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>3.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>2</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mtext> g</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mn>84.01</mn>\n<mrow>\n<mtext> g mo</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>l</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>×</mo>\n<mfrac>\n<mn>1</mn>\n<mrow>\n<mn>0.100</mn>\n<mrow>\n<mtext> d</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n</math></span>» 3.6 × 10<sup>–3</sup> «mol dm<sup>–3</sup>»  <strong>[✔]</strong></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\"><strong> Note:</strong> Award <strong>[2]</strong> for correct final answer.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Between sodium and hydrogencarbonate:</em><br/>ionic  <strong>[✔]</strong></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Between hydrogen and oxygen in hydrogencarbonate:</em><br/>«polar» covalent  <strong>[✔]</strong></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was rather disappointing that less than 70 % of the candidates could distinguish between weak and strong acids. Many candidates referred to pH differences.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A poorly answered question, though it discriminated very well between high-scoring and low-scoring candidates. Less than 40 % of the candidates were able to deduce the formula of the conjugate base of HCO<sub>3</sub><sup>-</sup>. Wrong answers included water, the hydroxide ion and carbon dioxide.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a relatively challenging question. Only about a quarter of the candidates explained how a decrease in pressure affected the equilibrium. Some candidates stated there was no shift in the equilibrium as the number of moles is the same on both sides of the equation, not acknowledging that only gaseous substances need to be considered when deciding the direction of shift in equilibrium due to a change in pressure. Some candidates wrote that the equilibrium shifts right because the gas escapes.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was one of the most challenging questions on the paper that required application of Le Chatelier’s Principle in an unfamiliar situation. Most candidates did not refer to equilibrium (2), as directed by the question, and hence could not gain any marks. Some candidates stated that NaHCO<sub>3</sub> was an acid and decreased pH. Some answers had contradictions that showed poor understanding of the pH concept.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well answered. Most candidates calculated the molar concentration correctly.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates identified the bonding between sodium and hydrogencarbonate as ionic. A much smaller proportion of candidates identified the bonding between hydrogen and oxygen in hydrogencarbonate as covalent. The most common mistake was “hydrogen bonding”.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "tool-2-technology",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Draw the repeating unit of polyphenylethene.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Determine the density of calcium, in g cm\n    <sup>\n     −3\n    </sup>\n    , using section 2 of the data booklet.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Ar = 40.08; metallic radius (r) = 1.97 × 10\n    <sup>\n     −10\n    </sup>\n    m\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     two\n    </strong>\n    reasons why oil decomposes faster at the surface of the ocean than at greater depth.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Oil spills can be treated with an enzyme mixture to speed up decomposition.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    factor to be considered when assessing the greenness of an enzyme mixture.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The minor product, C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    Br, can be directly converted to an intermediate compound,\n    <strong>\n     X\n    </strong>\n    , which can then be directly converted to the acid C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –COOH.\n   </span>\n  </p>\n  <p style=\"text-align:center;\">\n   <span style=\"background-color:#ffffff;\">\n    C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    Br →\n    <strong>\n     X\n    </strong>\n    → C\n    <sub>\n     6\n    </sub>\n    H\n    <sub>\n     5\n    </sub>\n    –CH\n    <sub>\n     2\n    </sub>\n    –COOH\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Identify\n    <strong>\n     X\n    </strong>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"187\" src=\"data:image/png;base64,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\" width=\"286\"/>\n  <strong>\n   [\n   <span style=\"background-color:#ffffff;\">\n    ✔]\n   </span>\n  </strong>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    <span style=\"background-color:#ffffff;\">\n     Note:\n    </span>\n   </strong>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    penalize the use of brackets and “n”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    award the mark if the continuation bonds are missing.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    a\n   </em>\n   = «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{4r}}{{\\sqrt 2 }} = \\frac{{4 \\times 1.97 \\times {{10}^{ - 10}}{\\text{m}}}}{{\\sqrt 2 }}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mi>\n        r\n       </mi>\n      </mrow>\n      <mrow>\n       <msqrt>\n        <mn>\n         2\n        </mn>\n       </msqrt>\n      </mrow>\n     </mfrac>\n     <mo>\n      =\n     </mo>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        1.97\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           10\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         m\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <msqrt>\n        <mn>\n         2\n        </mn>\n       </msqrt>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   =» 5.572 × 10\n   <sup>\n    –10\n   </sup>\n   «m»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   volume of unit cell = «(5.572 × 10\n   <sup>\n    –10\n   </sup>\n   m)\n   <sup>\n    3\n   </sup>\n   × 10\n   <sup>\n    6\n   </sup>\n   =» 1.73 × 10\n   <sup>\n    –22\n   </sup>\n   «cm\n   <sup>\n    3\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   mass of unit cell =«\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{40.08{\\text{ g mo}}{{\\text{l}}^{ - 1}} \\times 4}}{{6.02 \\times {{10}^{23}}{\\text{mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        40.08\n       </mn>\n       <mrow>\n        <mtext>\n         g mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        4\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        6.02\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mn>\n           23\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         mo\n        </mtext>\n       </mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mtext>\n           l\n          </mtext>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           1\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   =» 2.66 × 10\n   <sup>\n    –22\n   </sup>\n   «g»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   density = «\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{2.66 \\times {{10}^{ - 22}}{\\text{g}}}}{{{{(5.572 \\times {{10}^{ - 10}})}^3} \\times {{10}^6}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mn>\n        2.66\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mrow>\n          <mo>\n           −\n          </mo>\n          <mn>\n           22\n          </mn>\n         </mrow>\n        </msup>\n       </mrow>\n       <mrow>\n        <mtext>\n         g\n        </mtext>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <msup>\n         <mrow>\n          <mo stretchy=\"false\">\n           (\n          </mo>\n          <mn>\n           5.572\n          </mn>\n          <mo>\n           ×\n          </mo>\n          <mrow>\n           <msup>\n            <mrow>\n             <mn>\n              10\n             </mn>\n            </mrow>\n            <mrow>\n             <mo>\n              −\n             </mo>\n             <mn>\n              10\n             </mn>\n            </mrow>\n           </msup>\n          </mrow>\n          <mo stretchy=\"false\">\n           )\n          </mo>\n         </mrow>\n         <mn>\n          3\n         </mn>\n        </msup>\n       </mrow>\n       <mo>\n        ×\n       </mo>\n       <mrow>\n        <msup>\n         <mrow>\n          <mn>\n           10\n          </mn>\n         </mrow>\n         <mn>\n          6\n         </mn>\n        </msup>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n   » 1.54 «g cm\n   <sup>\n    –3\n   </sup>\n   »\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Award\n    <strong>\n     [3]\n    </strong>\n    for correct final answer.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two of:\n   </em>\n   <br/>\n   surface water is warmer «so faster reaction rate»/more light/energy from the sun\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   more oxygen «for aerobic bacteria/oxidation of oil»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   greater surface area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   non-hazardous/toxic to the environment/living organisms\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy requirements «during production»\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   quantity/type of waste produced «during production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   atom economy\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   safety of process\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note:\n    </strong>\n    Accept “use of solvents/toxic materials «during production»”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “more steps involved”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   C\n   <sub>\n    6\n   </sub>\n   H\n   <sub>\n    5\n   </sub>\n   –CH\n   <sub>\n    2\n   </sub>\n   –CH\n   <sub>\n    2\n   </sub>\n   OH\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most candidates were able to draw the monomer correctly. Some candidates made careless mistakes writing C\n  <sub>\n   6\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Majority of the candidates managed to get three marks in determining the density of the calcium.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  While many candidates did receive two marks for this question some candidates only suggested one reason or repeated the same reason (for example - heat and energy from the sun) even though the question clearly asked for two reasons.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  Students tend to struggle with these questions and end up giving journalistic or vague answers that cannot be awarded marks. It is important for teachers to instruct students to give more specific answers directly related to the topics presented.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Quite well answered though some candidates suggested an aldehyde rather than the alcohol, or forgot that C has two hydrogens apart from the -OH. In other cases, they left a Br there.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-3-the-metallic-model",
+      "structure-2-4-from-models-to-materials",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The regular rise and fall of sea levels, known as tides, can be used to generate energy.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    State\n    <strong>\n     one\n    </strong>\n    advantage, other than limiting greenhouse gas emissions, and one disadvantage of tidal power.\n   </span>\n  </p>\n  <p>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Advantage:\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Disadvantage:\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Suggest\n    <strong>\n     two\n    </strong>\n    reasons why oil decomposes faster at the surface of the ocean than at greater depth.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Oil spills can be treated with an enzyme mixture to speed up decomposition.\n   </span>\n  </p>\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline\n    <strong>\n     one\n    </strong>\n    factor to be considered when assessing the greenness of an enzyme mixture.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     Advantage\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   renewable\n   <strong>\n    [✔]\n   </strong>\n   <br/>\n   predictable supply\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   tidal barrage may prevent flooding\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   effective at low speeds\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   long life-span\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   low cost to run\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n   <em>\n    <strong>\n     Disadvantage\n    </strong>\n   </em>\n   <br/>\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   cost of construction\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   changes/unknown effects on marine life\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   changes circulation of tides in the area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   power output is variable\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   limited locations where feasible\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   equipment maintenance can be challenging\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n   <br/>\n   difficult to store energy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note\n    </strong>\n    : Do\n    <strong>\n     not\n    </strong>\n    accept vague generalizations.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept economic issues for both advantage and disadvantage.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept sustainable.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Accept “energy” or “electricity” for “power”.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two of:\n   </em>\n   <br/>\n   surface water is warmer «so faster reaction rate»/more light/energy from the sun\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   more oxygen «for aerobic bacteria/oxidation of oil»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   greater surface area\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any one of:\n   </em>\n   <br/>\n   non-hazardous/toxic to the environment/living organisms\n   <strong>\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy requirements «during production»\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   quantity/type of waste produced «during production»\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   atom economy\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   safety of process\n   <strong style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    [✔]\n   </strong>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     Note\n    </strong>\n    : Accept “use of solvents/toxic materials «during production»”.\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    Do\n    <strong>\n     not\n    </strong>\n    accept “more steps involved”.\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><br><div style=\"height: 2px; background-color: black; width: 100%;\"></div><br><div class=\"card-body\">\n <p>\n  Many candidates performed well on this question especially when identifying an advantage of tidal power. The students who struggled tended to either give vague or journalistic answers especially for the disadvantage of tidal power.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  Many candidates received two marks for this part while some candidates only suggested one reason or repeated the same reason (for example - heat and energy from the sun) even though the question clearly asked for two reasons.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  The candidates struggled with this part and gave journalistic or vague answers that cannot be awarded marks. Atom economy was mentioned correctly by a few candidates.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "19N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student investigated how the type of acid in acid deposition affects limestone, a building material mainly composed of calcium carbonate.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"173\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"389\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student monitored the mass of six similarly sized pieces of limestone. Three were placed in beakers containing 200.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> nitric acid, HNO<sub>3</sub> (aq), and the other three in 200.0 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> sulfuric acid, H<sub>2</sub>SO<sub>4</sub> (aq).</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"361\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"556\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The limestone was removed from the acid, washed, dried with a paper towel and weighed every day at the same time and then replaced in the beakers.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student plotted the mass of one of the pieces of limestone placed in nitric acid against time.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"507\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"547\"/></span></span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">[Source: © International Baccalaureate Organization 2019]</span></span></span></p>\n</div><div class=\"specification\">\n<p>The student hypothesized that sulfuric acid would cause a larger mass loss than nitric acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw a best-fit line on the graph.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the initial rate of reaction of limestone with nitric acid from the graph.</span></p>\n<p><span style=\"background-color: #ffffff;\">Show your working on the graph and include the units of the initial rate.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the rate of reaction of limestone with nitric acid decreases and reaches zero over the period of five days.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest a source of error in the procedure, assuming no human errors occurred and the balance was accurate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Justify this hypothesis.</span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The student obtained the following total mass losses.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"98\" src=\"data:image/png;base64,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\" width=\"546\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">She concluded that nitric acid caused more mass loss than sulfuric acid, which did not support her hypothesis.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Suggest an explanation for the data, assuming that no errors were made by the student.</span></span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">best-fit smooth curve ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept a series of connected lines that pass through all points <strong>OR</strong> any straight line representation. </span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">tangent drawn at time zero ✔<br/>g day<sup>−1</sup> ✔<br/>0.16 ✔</span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept other reasonable units for initial rate eg, mol dm<sup>−3</sup> s<sup>−1</sup>, mol dm<sup>−3</sup> min<sup>−1</sup>, g s<sup>−1</sup> <strong>OR</strong> g min<sup>−1</sup>.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">M3 can only be awarded if the value corresponds to the correct unit given in M2.<br/>Accept values for the initial rate for M3 in the range: 0.13 − 0.20 g day<sup>−1</sup> <strong>OR</strong> 1.5 × 10<sup>−6</sup> g s<sup>−1</sup> − 2.3 × 10<sup>−6</sup> g s<sup>−1</sup> <strong>OR</strong> 7.5 × 10<sup>−8</sup> − 1.2 × 10<sup>−7</sup> mol dm<sup>−3</sup> s<sup>−1</sup> <strong>OR </strong>4.5 × 10<sup>−6</sup> − 6.9 × 10<sup>−6</sup> mol dm<sup>−3</sup> min<sup>−1</sup> <strong>OR</strong> 9.0 × 10<sup>−5</sup> − 1.4 × 10<sup>−4</sup> g min<sup>−1</sup> <strong>OR </strong>a range based on any other reasonable unit for rate.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Ignore any negative rate value.<br/>Award<strong> [2 max]</strong> for answers such as 0.12/0.11 g day<sup>−1</sup>, incorrectly obtained by using the first two points on the graph (the average rate between t = 0 and 1 day).<br/>Award<strong> [1 max]</strong> for correctly calculating any other average rate.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">acid used up<br/><strong>OR</strong><br/>acid is the limiting reactant ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">concentration of acid decreases<br/><strong>OR</strong><br/>less frequent collisions ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Award<strong> [1 max]</strong> for \"surface area decreases\" if the idea that CaCO<sub>3</sub> is used up/acts as the limiting reactant” is conveyed for M1. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “reaction reaches equilibrium” for M2.</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">surface area not uniform<br/></span><span style=\"background-color: #ffffff;\"><em>NOTE: Accept “acids impure.</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>limestone pieces do not have same composition/source<br/><em>NOTE: Accept “«limestone» contains impurities”.</em></span><span style=\"background-color: #ffffff;\"><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>limestone absorbed water «which increased mass»</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>acid removed from solution when limestone removed<br/><em>NOTE: Accept “loss of limestone when dried\" <strong>OR</strong> \"loss of limestone due to crumbling when removed from beaker”.</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>«some» calcium sulfate deposited on limestone lost</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>pieces of paper towel may have stuck to limestone</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>beakers not covered/evaporation</span></p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>OR</strong></em><br/>temperature was not controlled ✔</span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">sulfuric acid is diprotic/contains two H<sup>+</sup> «while nitric acid contains one H<sup>+</sup>»/releases more H<sup>+</sup> «so reacts with more limestone» <br/><em><strong>OR</strong> <br/></em>higher concentration of protons/H<sup>+</sup> ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Ignore any reference to the relative strengths of sulfuric acid and nitric acid. <br/>Accept “sulfuric acid has two hydrogens «whereas nitric has one»”. <br/>Accept \"dibasic\" for \"diprotic\".</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">calcium sulfate remained/deposited on limestone «in sulfuric acid»<br/><em><strong>OR</strong></em><br/>reaction prevented/stopped by slightly soluble/deposited/layer of calcium sulfate ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Answer must refer to calcium sulfate.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "empty-topic",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19N.3.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Ethanol was electrolysed at different voltages. The products at the anode, ethanoic acid, ethanal and carbon dioxide, were collected and analysed.</span></p>\n<p><span style=\"background-color: #ffffff;\">The percentages of products obtained using three different catalysts mounted on a carbon anode, platinum (Pt/C), platinum and ruthenium alloy (PtRu/C) and platinum and tin alloy (PtSn/C) are shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"413\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"799\"/></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Chemical yields of ethanoic acid, ethanal and carbon dioxide as a function of voltage for<br/>oxidation of 0.100 mol dm<sup>−3</sup> ethanol at Pt/C, PtRu/C and PtSn/C anodes at 80°C.</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><br/>[Source: Product Distributions and Efficiencies for Ethanol Oxidation in a Proton Exchange Membrane Electrolysis Cell, Rakan M. Altarawneh and Peter G. Pickup, <em>Journal of the Electrochemical Society</em>, 2017, volume <strong>164</strong>, issue 7, http://jes.ecsdl.org/. Distributed under the terms of the Creative Commons Attribution 4.0 License (CC BY, http://creativecommons.org/licenses/by/4.0/)]</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe the effect of increasing the voltage on the chemical yield of:</span></p>\n<p><span style=\"background-color: #ffffff;\">Ethanal using Pt/C:</span></p>\n<p><span style=\"background-color: #ffffff;\">Carbon dioxide using PtRu/C:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the change in the average oxidation state of carbon. </span></p>\n<p><span style=\"background-color: #ffffff;\">From ethanol to ethanal:</span></p>\n<p><span style=\"background-color: #ffffff;\">From ethanol to carbon dioxide:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">List the three products at the anode from the least to the most oxidized.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce, giving your reason, which catalyst is most effective at fully oxidizing ethanol.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Ethanal using Pt/C:</em> <br/>decreases ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><em>Carbon dioxide using PtRu/C</em>: <br/>«generally» increases <em><strong>AND</strong> </em>then decreases ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Accept “no clear trend/pattern” <strong>OR</strong> “increases and decreases” <strong>OR</strong> “increases, reaches a plateau and «then» decreases” for M2.</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>From ethanol to ethanal:</em><br/>−2 to −1<br/><em><strong>OR</strong></em><br/>+1/increases by 1 ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept “2− to 1−”.</span></em></p>\n<p><span style=\"background-color: #ffffff;\"><em>From ethanol to carbon dioxide:</em><br/>−2 to +4<br/><em><strong>OR</strong></em><br/>+6/increases by 6 ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do <strong>not</strong> accept “2− to 4+”.<br/></span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> penalize incorrect notation twice.</span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Penalize incorrect oxidation state value of carbon in ethanol once only.</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">ethanal &lt; ethanoic acid &lt; carbon dioxide ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><em>NOTE: Accept formulas.</em><br/><em>No ECF from 2aii calculations.</em></span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Pt/platinum/PtC <em><strong>AND</strong> </em>highest yield of CO<sub>2</sub> «at all voltages» ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: ECF from 2aiii.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "empty-topic",
+      "reactivity-1-what-drives-chemical-reactions",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A molecule of citric acid, C<sub>6</sub>H<sub>8</sub>O<sub>7</sub>, is shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"123\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"215\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The equation for the first dissociation of citric acid in water is</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> (aq) + H<sub>2</sub>O (l) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌<!-- ⇌ --></mo>\n</math></span> C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq)</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify a conjugate acid–base pair in the equation.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The value of <em>K</em><sub>a</sub> at 298 K for the first dissociation is 5.01 × 10<sup>−4</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the strength of citric acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The dissociation of citric acid is an endothermic process. State the effect on the hydrogen ion concentration, [H<sup>+</sup>], and on K<sub>a</sub>, of increasing the temperature.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the standard Gibbs free energy change, <math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math>, in kJ mol<sup>−1</sup>, for the first dissociation of citric acid at 298 K, using section 1 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Comment on the spontaneity of the reaction at 298 K.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>two</strong> laboratory methods of distinguishing between solutions of citric acid and hydrochloric acid of equal concentration, stating the expected observations.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> <em><strong>AND</strong> </em>C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup><br/><em><strong>OR</strong></em><br/>H<sub>2</sub>O <em><strong>AND</strong> </em>H<sub>3</sub>O<sup>+</sup> ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">weak acid <em><strong>AND</strong> </em>partially dissociated<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> </em>equilibrium lies to left<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> K</em><sub>a</sub> &lt; 1 ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">«</span><span class=\"mjpage\"><math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> = −<em>RT</em> ln <em>K</em> = −8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K × ln(5.01 × 10<sup>–4</sup>) ÷ 1000 =» 18.8 «kJ mol<sup>–1</sup>» ✔</span></p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">non-spontaneous <em><strong>AND</strong></em> <span class=\"mjpage\"><math alttext=\"\\Delta {G^\\theta }\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">Δ</mi><msup><mi>G</mi><mtext>θ</mtext></msup></math></span> positive ✔</span></p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any two of:</em><br/></span></p>\n<p><span style=\"background-color: #ffffff;\">«electrical» conductivity <em><strong>AND</strong> </em>HCl greater ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">pH <em><strong>AND</strong> </em>citric acid higher ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>pH at equivalence higher for citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">add reactive metal/carbonate/hydrogen carbonate <em><strong>AND</strong> </em>stronger effervescence/faster reaction with HCl ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titration <em><strong>AND</strong> </em>volume of alkali for complete neutralisation greater for citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>more than one equivalence point for complete neutralisation of citric acid ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>buffer zone with citric acid ✔<br/></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept “add universal indicator </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl more red/pink” for M2. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept any acid reaction </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl greater rise in temperature. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept specific examples throughout. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “smell” or “taste”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "tool-2-technology"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Another common acid found in food is ethanoic acid.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">A sample of ethanoic acid was titrated with sodium hydroxide solution, and the following pH curve obtained.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Annotate the graph to show the buffer region and the volume of sodium hydroxide at the equivalence point.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify the most suitable indicator for the titration using section 22 of the data booklet.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe, using a suitable equation, how the buffer solution formed during the titration resists pH changes when a small amount of acid is added.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><span style=\"background-color: #ffffff;\">buffer region on graph ✔<br/>equivalence point/V<sub>eq</sub> on graph ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\"> NOTE: Construction lines not required.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">phenolphthalein ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept phenol red.</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 1:</strong></em><br/>H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) → CH<sub>3</sub>COOH (aq) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">added acid neutralised by ethanoate ions<br/><em><strong>OR</strong></em><br/>«weak» CH<sub>3</sub>COOH (aq)/ethanoic acid replaces H<sup>+</sup> (aq)<br/><em><strong>OR</strong></em><br/>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>–</sup> ratio virtually/mostly unchanged ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><br/><em><strong>ALTERNATIVE 2:</strong></em><br/>CH<sub>3</sub>COOH (aq) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\"> <mo stretchy=\"false\">⇌</mo> </math></span> H<sup>+</sup> (aq) + CH<sub>3</sub>COO<sup>–</sup> (aq) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">equilibrium shifts to the ethanoic acid side<br/><em><strong>OR</strong></em><br/>CH<sub>3</sub>COOH/CH<sub>3</sub>COO<sup>−</sup> ratio virtually/mostly unchanged ✔</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
+    ],
+    "subtopics": [
+      "reactivity-3-1-proton-transfer-reactions"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The equations show steps in the formation and decomposition of ozone in the stratosphere, some of which absorb ultraviolet light.</span></p>\n<p><span style=\"background-color: #ffffff;\"><br/>Step 1    O<sub>2</sub> → 2O•</span></p>\n<p><span style=\"background-color: #ffffff;\">Step 2    O• + O<sub>2</sub> → O<sub>3</sub></span></p>\n<p><span style=\"background-color: #ffffff;\">Step 3    O<sub>3</sub> → O• + O<sub>2</sub></span></p>\n<p><span style=\"background-color: #ffffff;\">Step 4    O• + O<sub>3</sub> → 2O<sub>2</sub></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw the Lewis structures of oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline why both bonds in the ozone molecule are the same length and predict the bond length in the ozone molecule. Refer to section 10 of the data booklet.</span></p>\n<p><span style=\"background-color: #ffffff;\">Reason: </span></p>\n<p><span style=\"background-color: #ffffff;\">Length:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Distinguish ultraviolet light from visible light in terms of wavelength and energy.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Discuss how the different bond strengths between the oxygen atoms in O<sub>2</sub> and O<sub>3</sub> in the ozone layer affect radiation reaching the Earth’s surface.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em>NOTES: Coordinate bond may be represented by an arrow.</em></p>\n<p><em>Do <strong>not</strong> accept delocalized structure for ozone.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">resonance «structures»<br/><em><strong>OR</strong></em><br/>delocalization of «the double/pi bond» electrons ✔<br/>121 «pm» &lt; length &lt; 148 «pm» ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept any length between these two values.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«UV» shorter wavelength <em><strong>AND</strong> </em>higher energy «than visible» ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«bond» in O<sub>2</sub> stronger than in O<sub>3</sub> ✔</p>\n<p><br/>ozone absorbs lower frequency/energy «radiation than oxygen»<br/><strong>OR</strong><br/>ozone absorbs longer wavelength «radiation than oxygen» ✔</p>\n<p> </p>\n<p><em>NOTE: Accept ozone «layer» absorbs a range of frequencies.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "structure-1-3-electron-configurations",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Discuss the data.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Outline what is meant by the degradation of energy.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «similar specific energy and» pentane has «much» larger energy density ✔\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    Any two for\n    <strong>\n     [2 max]\n    </strong>\n    :\n   </em>\n   <br/>\n   similar number of bonds/«C and H» atoms in 1 kg «leading to similar specific energy»\n   <br/>\n   <em>\n    <strong>\n     OR\n     <br/>\n    </strong>\n   </em>\n   only one carbon difference in structure «leading to similar specific energy» ✔\n   <br/>\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    NOTE:\n   </span>\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    Accept “both are alkanes” for M2.\n   </span>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   pentane is a liquid\n   <em>\n    <strong>\n     AND\n    </strong>\n   </em>\n   butane is a gas «at STP» ✔\n   <br/>\n   <em>\n    NOTE: Accept “pentane would be easier to transport”.\n   </em>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   1 m\n   <sup>\n    3\n   </sup>\n   of pentane contains greater amount/mass than 1 m\n   <sup>\n    3\n   </sup>\n   of butane ✔\n   <br/>\n   <em>\n    NOTE: Accept “same volume” for “1 m\n    <sup>\n     3\n    </sup>\n    ” and “more moles” for “greater amount” for M4.\n   </em>\n   <br/>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   energy converted to heat\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   energy converted to less useful/dispersed forms\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   energy converted to forms that have lower potential to do work\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   heat transferred to the surroundings ✔\n  </span>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    NOTE: Reference to energy conversion/transfer required. Do\n    <strong>\n     not\n    </strong>\n    accept reference to loss of energy.\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The biochemical oxygen demand of a water sample can be determined by the following series of reactions. The final step is titration of the sample with sodium thiosulfate solution, Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq).</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">2Mn<sup>2+</sup> (aq) + O<sub>2</sub> (aq) + 4OH<sup>−</sup> (aq) → 2MnO<sub>2</sub> (s) + 2H<sub>2</sub>O (l)</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">MnO<sub>2</sub> (s) + 2I<sup>−</sup> (aq) + 4H<sup>+</sup> (aq) → Mn<sup>2+</sup> (aq) + I<sub>2</sub> (aq) + 2H<sub>2</sub>O (l)<br/></span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">2S<sub>2</sub>O<sub>3</sub><sup>2−</sup> (aq) + I<sub>2</sub> (aq) → 2I<sup>−</sup> (aq) + S<sub>4</sub>O<sub>6</sub><sup>2−</sup> (aq)</span></span></p>\n<p style=\"text-align: left;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">A student analysed two 300.0 cm<sup>3</sup> samples of water taken from the school pond: one immediately (day 0), and the other after leaving it sealed in a dark cupboard for five days (day 5). The following results were obtained for the titration of the samples with 0.0100 mol dm<sup>−3</sup> Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq).</span></span></span></p>\n<p style=\"text-align: left;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img height=\"120\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"279\"/></span></span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the mole ratio of S<sub>2</sub>O<sub>3</sub><sup>2−</sup> to O<sub>2</sub>, using the balanced equations.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the number of moles of oxygen in the day 0 sample.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The day 5 sample contained 5.03 × 10<sup>−5</sup> moles of oxygen.<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">Determine the 5-day biochemical oxygen demand of the pond, in mg dm<sup>−3</sup> (“parts per million”, ppm).</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the percentage uncertainty of the day 5 titre.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest a modification to the procedure that would make the results more reliable.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">4 : 1 ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"{{\\text{n}}_{{{\\text{s}}_2}{{\\text{o}}_3}^{2 - }}} = «0.0258{\\text{ d}}{{\\text{m}}^3} \\times 0.010{\\text{ mol d}}{{\\text{m}}^{ - 3}} =» 2.58 \\times {10^{ - 4}}{\\text{«mol»}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>n</mtext><mrow><msub><mtext>s</mtext><mn>2</mn></msub><msup><msub><mtext>o</mtext><mn>3</mn></msub><mrow><mn>2</mn><mo>−</mo></mrow></msup></mrow></msub><mo>=</mo><mo>«</mo><mn>0.0258</mn><mtext> d</mtext><msup><mtext>m</mtext><mn>3</mn></msup><mo>×</mo><mn>0.010</mn><mtext> mol d</mtext><msup><mtext>m</mtext><mrow><mo>−</mo><mn>3</mn></mrow></msup><mo>=</mo><mo>»</mo><mo> </mo><mn>2.58</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup><mo> </mo><mtext>«mol»</mtext></math></span> ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"\\frac{{2.58 \\times {{10}^{ - 4}}{\\text{mol}}}}{4} =» 6.45 \\times {10^{ - 5}}{\\text{«mol»}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2.58</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup><mo> </mo><mtext>mol</mtext></mrow><mn>4</mn></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>6.45</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup><mtext>«mol»</mtext></math></span> ✔</span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"> NOTE: Award<strong> [2]</strong> for correct final answer.</span></span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«difference in moles per dm<sup>3</sup> = (6.45 × 10<sup>−5</sup> − 5.03 × 10<sup>−5</sup>) × <span class=\"mjpage\"><math alttext=\"\\frac{{1000}}{{300.0}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"> <mfrac> <mrow> <mn>1000</mn> </mrow> <mrow> <mn>300.0</mn> </mrow> </mfrac> </math></span> =»</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">4.73 × 10<sup>−5</sup> «mol dm<sup>−3</sup>» ✔</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«convert to mg per dm<sup>3</sup>: 4.73 × 10<sup>−5</sup> mol dm<sup>−3</sup> × 32.00 g mol<sup>−1</sup> × 1000 mg g<sup>–1</sup> = » 1.51 «ppm/mg dm<sup>−3</sup>» ✔</span></span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">NOTE: Award <strong>[2]</strong> for correct final answer.</span></span></span></em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"\\frac{{100 \\times 0.1{\\text{c}}{{\\text{m}}^3}}}{{20.1{\\text{c}}{{\\text{m}}^3}}} =» 0.5 \" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>100</mn><mo>×</mo><mn>0.1</mn><mo> </mo><mtext>c</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow><mrow><mn>20.1</mn><mo> </mo><mtext>c</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>0.5</mn></math></span> «%»✔</span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">repetition / take several samples «and average» ✔</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A molecule of citric acid, C<sub>6</sub>H<sub>8</sub>O<sub>7</sub>, is shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"123\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"215\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The equation for the first dissociation of citric acid in water is</span></span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> (aq) + H<sub>2</sub>O (l) <span class=\"mjpage\"><math alttext=\" \\rightleftharpoons \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mo stretchy=\"false\">⇌<!-- ⇌ --></mo>\n</math></span> C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup> (aq) + H<sub>3</sub>O<sup>+</sup> (aq)</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Identify a conjugate acid–base pair in the equation.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The value of the equilibrium constant for the first dissociation at 298 K is 5.01 × 10<sup>−4</sup>.</span></p>\n<p><span style=\"background-color: #ffffff;\">State, giving a reason, the strength of citric acid.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The dissociation of citric acid is an endothermic process. State the effect on the hydrogen ion concentration, [H<sup>+</sup>], and on the equilibrium constant, of increasing the temperature.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Outline <strong>one </strong>laboratory methods of distinguishing between solutions of citric acid and hydrochloric acid of equal concentration, stating the expected observations.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C<sub>6</sub>H<sub>8</sub>O<sub>7</sub> <em><strong>AND</strong> </em>C<sub>6</sub>H<sub>7</sub>O<sub>7</sub><sup>−</sup><br/><em><strong>OR</strong></em><br/>H<sub>2</sub>O <em><strong>AND</strong> </em>H<sub>3</sub>O<sup>+</sup> ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">weak acid <em><strong>AND</strong> </em>partially dissociated<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> </em>equilibrium lies to left<br/><em><strong>OR</strong></em><br/>weak acid <em><strong>AND</strong> K</em><sub>c</sub>/<em>K</em><sub>a</sub>&lt;1 ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any one of:</em><br/>«electrical» conductivity <em><strong>AND</strong> </em>HCl greater ✔<br/>pH <em><strong>AND</strong> </em>citric acid higher ✔<br/>titrate with strong base <em><strong>AND</strong> </em>pH at equivalence higher for citric acid ✔<br/>add reactive metal/carbonate/hydrogen carbonate <em><strong>AND</strong> </em>stronger effervescence/faster reaction with HCl ✔<br/>titration <em><strong>AND</strong> </em>volume of alkali for complete neutralisation greater for citric acid ✔<br/>titrate with strong base <em><strong>AND</strong> </em>more than one equivalence point for complete neutralisation of citric acid ✔<br/></span><span style=\"background-color: #ffffff;\">titrate with strong base <em><strong>AND</strong> </em>buffer zone with citric acid ✔<br/></span></p>\n<p> </p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept “add universal indicator </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl more red/pink” for M2. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept any acid reaction </span></em><span style=\"background-color: #ffffff;\"><strong>AND</strong></span> <em><span style=\"background-color: #ffffff;\">HCl greater rise in temperature. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Accept specific examples throughout. </span></em></p>\n<p><em><span style=\"background-color: #ffffff;\">Do <strong>not</strong> accept “smell” or “taste”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "tool-2-technology"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Automobile air bags inflate by a rapid decomposition reaction. One typical compound used is guanidinium nitrate, C(NH<sub>2</sub>)<sub>3</sub>NO<sub>3</sub>, which decomposes very rapidly to form nitrogen, water vapour and carbon.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Deduce the equation for the decomposition of guanidinium nitrate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the total number of moles of gas produced from the decomposition of 10.0 g of guanidinium nitrate.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the pressure, in kPa, of this gas in a 10.0 dm<sup>3</sup> air bag at 127°C, assuming no gas escapes.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest why water vapour deviates significantly from ideal behaviour when the gases are cooled, while nitrogen does not.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Another airbag reactant produces nitrogen gas and sodium.</span></p>\n<p><span style=\"background-color: #ffffff;\">Suggest, including an equation, why the products of this reactant present a safety hazard.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">C(NH<sub>2</sub>)<sub>3</sub>NO<sub>3 </sub>(s) → 2N<sub>2 </sub>(g) + 3H<sub>2</sub>O (g) + C (s) ✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">moles of gas = « <span class=\"mjpage\"><math alttext=\"\\frac{{10.0{\\text{g}}}}{{122.11{\\text{g mo}}{{\\text{l}}^{ - 1}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>×</mo><mfrac><mrow><mn>10.0</mn><mo> </mo><mtext>g</mtext></mrow><mrow><mn>122.11</mn><mo> </mo><mtext>g mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo></math></span>» 0.409 «mol» ✔</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«<span class=\"mjpage\"><math alttext=\"p = \\frac{{0.409{\\text{mol}} \\times {\\text{8}}{\\text{.31 J }}{{\\text{K}}^{ - 1}}{\\text{mo}}{{\\text{l}}^{ - 1}} \\times \\left( {127 + 273} \\right){\\text{K}}}}{{{\\text{10}}{\\text{.0 d}}{{\\text{m}}^3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>p</mi><mo>=</mo><mfrac><mrow><mn>0.409</mn><mo> </mo><mtext>mol</mtext><mo>×</mo><mtext>8</mtext><msup><mtext>.31 J K</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup><mtext>mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>×</mo><mrow><mo>(</mo><mn>127</mn><mo>+</mo><mn>273</mn><mo>)</mo><mo> </mo></mrow><mtext>K</mtext></mrow><mrow><mtext>10</mtext><mtext>.0 d</mtext><msup><mtext>m</mtext><mn>3</mn></msup></mrow></mfrac></math></span>» = 136 «kPa» ✔</span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>Any <strong>two</strong> of:</em><br/>nitrogen non-polar/London/dispersion forces <em><strong>AND</strong> </em>water polar/H-bonding ✔<br/>water has «much» stronger intermolecular forces ✔<br/>water molecules attract/condense/occupy smaller volume «and therefore deviate from ideal behaviour» ✔</span></p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">2Na (s) + 2H<sub>2</sub>O (l) → 2NaOH (aq) + H<sub>2 </sub>(g) ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">hydrogen explosive<br/><em><strong>OR</strong></em><br/>highly exothermic reaction<br/><em><strong>OR</strong></em><br/>sodium reacts violently with water<br/><em><strong>OR</strong></em><br/>forms strong alkali ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept the equation of combustion of hydrogen.<br/>Do <strong>not</strong> accept just “sodium is reactive/dangerous”.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "structure-1-5-ideal-gases",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span class=\"fontstyle0\">In order to determine the oil content of different types of potato crisps (chips), a student weighed <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></math> of crushed crisps and mixed them with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>20</mn><mo>.</mo><mn>0</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></math></span><span class=\"fontstyle0\"> </span><span class=\"fontstyle0\">of non-polar solvent.</span></p>\n<p><span class=\"fontstyle0\">She assumed all the oil in the crisps dissolved in the solvent.</span></p>\n<p><span class=\"fontstyle0\">The student then filtered the mixture to remove any solids, and gently heated the solution on a hot plate to evaporate the solvent.</span></p>\n<p><span class=\"fontstyle0\">She measured the mass of the oil that remained from each type of crisps</span> </p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest why a non-polar solvent was needed.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">State one reason why the mixture was not heated strongly.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Non-polar solvents can be toxic. Suggest a modification to the experiment which allows the evaporated solvent to be collected.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest one source of error in the experiment, excluding faulty apparatus and human error, that would lead to the following:</span></p>\n<p><img height=\"275\" src=\"data:image/png;base64,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\" width=\"672\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>oil is non-polar «and dissolves best in non-polar solvents» <br/><em><strong>OR</strong></em> <br/>oil does not dissolve in polar solvents ✔</p>\n<p><em>Do <strong>not</strong> accept “like dissolves like” only.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>solvent/oil is flammable<br/><em><strong>OR</strong></em><br/>solvent/oil must be kept below its flash point<br/><em><strong>OR</strong></em><br/>oxidation/decomposition of oil<br/><em><strong>OR</strong></em><br/>mixture has a low boiling point ✔</p>\n<p><em>Accept “to prevent evaporation of oil”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>distillation «instead of evaporation» ✔</p>\n<p><em>Accept “pass vapour through a condenser and collect liquid”.</em></p>\n<p><em>Do <strong>not</strong> accept “condensation” without experimental details.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Experimental mass greater than actual mass of oil in crisps:</em><br/>other substances «in the crisps» are soluble in the solvent<br/><em><strong>OR</strong></em><br/>not all the solvent evaporates ✔</p>\n<p><em>Experimental mass less than actual mass of oil in crisps:</em><br/>not all oil dissolved/extracted ✔</p>\n<p><em>Accept “oil evaporated” <strong>OR</strong> “oil burned/decomposed” <strong>OR</strong> “oil absorbed by the filter” <strong>OR</strong> “assumption «all oil dissolved» was wrong” for M2.</em></p>\n<p><em>Do <strong>not</strong> accept examples of human errors <strong>OR</strong> faulty apparatus.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question where replies used all the alternatives provided. Very few candidates limited their answer to \"like dissolves like\" and while this expression was used most student elaborated with higher quality answer. Some common incorrect responses included students talking about dissolving the crisps (chips) or indicating the oil was a polar compound.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another correctly answered question. As accepted by notes many candidates scored by stating \"to prevent evaporation of oil\". This resulted in the same argument scoring twice as often used for 1d as well. Some students incorrectly indicated the problem was to prevent the evaporation of the solvent which was the point of this step in the experiment. This could indicate a general lack of understanding of experimental methods.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A bit disappointing as the number of correct answers were substantially lower than expected. Many students responded using a fume hood or other method to remove the solvent. Once again this indicates a general misunderstanding about experimental methods.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even weak candidates scored at least one point and often both. One common pitfall was to invert the arguments or provide answers excluded by the stem. A frequent incorrect answer was identification of faulty apparatus and human error which was specifically excluded in the question.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "tools"
+    ],
+    "subtopics": [
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "20N.1B.SL.TZ0.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    The vapour pressure of pure ethanal at\n   </span>\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     20\n    </mn>\n    <mo>\n     °\n    </mo>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </math>\n   <span class=\"fontstyle0\">\n    is\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      101\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      kPa\n     </mi>\n    </math>\n    .\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the vapour pressure of ethanal above the liquid mixture at\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      20\n     </mn>\n     <mo>\n      °\n     </mo>\n     <mi mathvariant=\"normal\">\n      C\n     </mi>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Describe how this mixture is separated by fractional distillation.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <msub>\n    <mi mathvariant=\"normal\">\n     ρ\n    </mi>\n    <mi>\n     ethanal\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    250\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    101\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    25\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kPa\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of:\n  </em>\n  <br/>\n  continuous evaporation and condensation\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  increased surface area in column helps condensation ✔\n  <br/>\n  <em>\n   Accept “glass «beads» aid condensation «in fractionating column»”.\n  </em>\n </p>\n <p>\n  temperature decreases up the fractionating column ✔\n </p>\n <p>\n  liquids condense at different heights\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  liquid of lowest boiling point collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  liquid with weakest intermolecular forces collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  most volatile component collected first\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  fractions/liquids collected in order of boiling point/volatility ✔\n  <br/>\n  <em>\n   Accept “liquids collected in order of molar mass”.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  This question involving Raoult's Law was very well answered and most were able to calculate the mole fraction of ethanal in the mixture (0.250) and the corresponding vapour pressure of ethanal above the liquid mixture at 20 °C (25.3 kPa). There was one G2 comment on this question. One teacher stated that the diagram shows four fractions but the stem of the question specifically states only three components and hence the fourth test tube is not required. The teacher commented that some students may have been distracted by this.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  In this question candidates were required to describe how the mixture can be separated by fractional distillation. Only the better candidates scored both marks, though most gained at least one mark, usually for stating that the most volatile component is collected first. Many did not convey the idea that there is continuous evaporation and condensation in the process or the fact that the temperature decreases up the fractionating column.\n </p>\n</div>\n",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "structure-1-5-ideal-gases",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p><span class=\"fontstyle0\">An investigation was carried out to determine the effect of chain length of the alcohol on the equilibrium constant, </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub></math><span class=\"fontstyle0\">, for the reversible reaction:</span></p>\n<p style=\"text-align: center;\"><span class=\"fontstyle0\"><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ROH</mi><mo>+</mo><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi><mover><mo>⇌</mo><mrow><msup><mi mathvariant=\"normal\">H</mi><mo>+</mo></msup><mfenced><mi>aq</mi></mfenced><mo> </mo></mrow></mover><msub><mi>CH</mi><mn>3</mn></msub><mi>COOR</mi><mo>+</mo><msub><mi mathvariant=\"normal\">H</mi><mn>2</mn></msub><mi mathvariant=\"normal\">O</mi></math></span></p>\n<p><span class=\"fontstyle0\">The reactants, products and the catalyst form a homogeneous mixture.</span></p>\n<p><span class=\"fontstyle0\">Fixed volumes of each alcohol, the ethanoic acid and the sulfuric acid catalyst were placed in sealed conical flasks.</span></p>\n<p><span class=\"fontstyle0\">At equilibrium, the flasks were placed in an ice bath, and samples of each flask titrated with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></span><span class=\"fontstyle0\"> to determine the ethanoic acid concentration present in the equilibrium mixture.</span></p>\n<p><span class=\"fontstyle0\">The following processed results were obtained.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"201\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"529\"/></span></p>\n<p style=\"text-align: center;\"><span class=\"fontstyle0\"> © International Baccalaureate Organization 2020 <br/> </span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Identify the independent and dependent variables in this experiment.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"222\" src=\"data:image/png;base64,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\" width=\"655\"/></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">The ice bath is used at equilibrium to slow down the forward and reverse reactions. Explain why adding a large amount of water to the reaction mixture would also slow down </span><span class=\"fontstyle2\"><strong>both</strong> </span><span class=\"fontstyle0\">reactions.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest why the titration must be conducted quickly even though a low temperature is maintained.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">An additional experiment was conducted in which only the sulfuric acid catalyst was titrated with <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mo>(</mo><mi>aq</mi><mo>)</mo></math></span><span class=\"fontstyle0\">. Outline why this experiment was necessary.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Calculate the percentage uncertainty and percentage error in the experimentally determined value of </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub></math> <span class=\"fontstyle0\">for methanol.</span></p>\n<p><img height=\"290\" src=\"data:image/png;base64,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\" width=\"709\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Comment on the magnitudes of random and systematic errors in this experiment using the answers in (e).</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest a risk of using sulfuric acid as the catalyst.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Independent variable:</em><br/>chain length <em><strong>OR</strong></em> number of carbon «atoms in alcohol»<br/><em><strong>AND</strong></em><br/><em>Dependent variable:</em><br/>volume of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi></math> <em><strong>OR</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi>c</mi></msub></math>/equilibrium constant <em><strong>OR</strong></em> <span style=\"text-decoration: underline;\">equilibrium</span> concentration/moles of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></math> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>dilution/lower concentrations ✔</p>\n<p>less frequent collisions «per unit volume» ✔</p>\n<p><em>Accept “lowers concentration of acid catalyst” for M1. M2 must refer to increase in activation energy or different pathway.</em></p>\n<p><em>Do <strong>not</strong> accept responses referring to equilibrium.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>equilibrium shifts to left<br/><em><strong>OR</strong></em><br/>more ethanoic acid is produced «as ethanoic acid is neutralized»<br/><em><strong>OR</strong></em><br/>prevents/slows down ester hydrolysis ✔</p>\n<p><em>Accept “prevents equilibrium shift” if described correctly without direction.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>to determine volume/moles of <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi></math> used up by the catalyst/sulfuric acid «in the titration»<br/><em><strong>OR</strong></em><br/>to eliminate/reduce «systematic» error caused by acid catalyst ✔</p>\n<p><em><br/>Do not accept “control” <strong>OR</strong> “standard” alone.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Percentage uncertainty:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>4</mn><mo>×</mo><mn>100</mn></mrow><mrow><mn>6</mn><mo>.</mo><mn>5</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>6</mn><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p><em>Percentage error:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>5</mn><mo>-</mo><mn>5</mn><mo>.</mo><mn>3</mn></mrow><mrow><mn>5</mn><mo>.</mo><mn>3</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>23</mn><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p><em>Award <strong>[1 max]</strong> if calculations are reversed <strong>OR</strong> if incorrect alcohol is used.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two:</em></p>\n<p>large percentage error means large systematic error «in procedure» ✔</p>\n<p>small percentage uncertainty means small random errors ✔</p>\n<p>random errors smaller than systematic error ✔</p>\n<p><em><br/></em><em>Award <strong>[2]</strong> for “both random and systematic errors are significant.”</em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>corrosive/burns/irritant/strong oxidizing agent/carcinogenic<br/><em><strong>OR</strong></em><br/>disposal is an environmental issue<br/><em><strong>OR</strong></em><br/>causes other side reactions/dehydration/decomposition ✔</p>\n<p><br/><em>Do <strong>not</strong> accept just “risk of accidents” <strong>OR</strong> “health risks” <strong>OR</strong> “hazardous”.</em></p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Examiners report": "",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.7",
+    "Question": "<div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Nitrogen monoxide reacts with oxygen gas to form nitrogen dioxide.</span></p>\n<p><span class=\"fontstyle0\"> The following experimental data was obtained.<br/> </span></p>\n<p><span class=\"fontstyle0\"><img height=\"150\" src=\"data:image/png;base64,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\" width=\"463\"/></span></p>\n<p><span class=\"fontstyle0\"> Deduce the partial order of reaction with respect to nitrogen monoxide and oxygen.<br/> </span></p>\n<p><span class=\"fontstyle0\"><img height=\"148\" src=\"data:image/png;base64,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\" width=\"583\"/></span></p>\n<p> </p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Nitrogen monoxide reacts with oxygen gas to form nitrogen dioxide.</span></p>\n<p><span class=\"fontstyle0\">Deduce, giving a reason, whether the following mechanism is possible.</span></p>\n<p><span class=\"fontstyle0\"><img height=\"67\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAh0AAABMCAYAAADJLQWcAAAgAElEQVR4Ae2dh1sU1/eHf38Ki9tYYMWCSrNgLFjRGFFUBAXF2GOJXSwYjT0WNPaIPRZINAFNYkSxBjSxAELU2FBBupQt7+/ZpWxhFxdBv5Tr8+zDlDt37vmcOzPvnHvm+n+If0IBoYBQQCggFBAKCAU+gQL/9wnOIU4hFBAKCAWEAkIBoYBQAAEdohMIBYQCQgGhgFBAKPBJFKgFHXl5eZw+eUr8mrEGP8fHC/81Y/+J66/13X/OnD4trllxzbaoPvBvVpZNiKkFHVeSLjPii+HMmjFT/JqpBqEhIUwMjxD+a6b+E9de67r3hIWMxXDNCr+3Lr+3ZH8b+vT3O3Y4Bh3nzp5lcuQkm4XFxuahQMS48Vw4f755NFa0UijQyhXYs3s3K5ctb+UqCPNbkgLf79jJN9HRNk2qFekQ0GFTp2a1UUBHs3KXaGwrV0BARyvvAC3QfAEdLdCpdZkkoKMudcQ+oUDTUkBAR9Pyh2hNwxUQ0NFwDZtVDQI6mpW7RGNbuQICOlp5B2iB5gvoaIFOrcskAR11qSP2CQWalgICOpqWP0RrGq6AgI6Ga9isahDQ0azcJRrbyhUQ0NHKO0ALNF9ARwt0al0mCeioSx2xTyjQtBQQ0NG0/CFa03AFBHQ0XMNmVYOAjmblLtHYVq6AgI5W3gFaoPkCOlqgU+sySUBHXeqIfUKBpqWAgI6m5Q/RmoYrIKCj4Ro2qxoEdDQrd4nGtnIFBHS08g7QAs1vROgoJi5CgdRJYvsnD+PHPD2a60vo4BTI/qe6Bsipp+Dej3yz5TcK9B9aTWPU8aHn/t8d13KgQ0/+ncMsHdMHLzcFLop2+H8xi703cqjuWfrsQwRLJbSLOMObWv1ER/rGnii71J4Zr+L1DY4sm8BQHw9cZQo6ePdl7Nc7uPCwiFrVWLiyiOtRfRi590lNGyx211rRk30ijF4zz5Nbd8W1jmycDXqyY0egdFIz8czr2rbp0tjsL8N3ZaoDp6vg9Y3DrIwIpFtbJS5yD/z6jGF+zHkeFn2Icc1NSwck+oAiAjo+QDS7h2i4MluJNOgwrz6kS9qtV+yojwKNDh3KgM2kaevThA8pWwk4qrHHGnCzbow6PqTt/9tjWgp06J7EEtrWncCos6TnllFekEXi8sF4uA5lx/0Ko8jV0OHr9zlRV4qthLcNHUV3thPcVkmvaftIysyltKKMwuepxH8zks5yX2bGP0NjVVP1aulfK+nZfSUpZdVbHPirSWNLX2/mXixwoHBjF6mGDi96DF1Kci2JHIWOIv7ePoIOCn9m7r1EVm4pFWUFvEiNY80IT1Q+0/npqT3VbNvU/LS0bUdDtwroaKiC5scL6DBX43+1LKCjQeDyv3Lbh5+3ZUCHlodbB+LS8WsulpppUX6LVd1l+C5ONm6shA4FM4/GMXfMVtIrWaTqABvQUfAn8zo5031BEvm13oTK+XfvCNzlgezOtPEA1T3lwBAVow5n144YmDXR1mJefATqXptJt1GtrfKNt60KOuTTORY3m9CtaVhK5Bh0FF6ci7fEj8VJ+bVtL89if5AKVeD32JLNpi3NUkubljR4o4COBktoVoGADjMx/meLnxw6LIdXNFxb1A738G/ZGt4ND7ka/wW/Uagv4O+Dcwnu5oFKqqCdV38ilp0kzfAmps/l+FizYRzpEHY9shVa0VNw5yDzgrrTQS5D5e7NoHHLOPWguI46dLy5tou5w7rTUaHAvWMvwpadIr3mDVDDrahOuE7az/kN4fRtp8S1bVdGzovlTn51UB+099bT00lG5M9F/zPH2jtxy4AOO9bpnrHvCzmqiDPGAtXQMeu3Up7FhvPl8Zdmwx7W0KHjxQ9fIJeP4cTrWsRRecLym6z0ktBp/hXMWcewszxlJX7ycZx5a962YtJPrSDsM0/UchVefSNYu3MhAxX9+O6BWZ8tPs8MlQdf//nO/OAPWi6+soG5W2/gWNykGjpm8nvpMw6FR3Lipakf48jwiu45B4e1QTXmuI0hrEoTym8ux9epAwuvWKtm28SmoqXt1n3arQI66qe3vuAOsXOC8G+rQClX49tvPCt+fEDlLdwGdGiySY6ZyTAfV+ROCjw/G0v0mQxKDKfVPmT7ADmdZv9ec73r3xwlTOGM56zfTNteHyZU2ZG5vzX8+q2ftc2zdJOADqlTOybEZlJY9B/3swrIT5iKZ7swfriXT7lOQ/HT34n6TIH/6jtVoW0HhkbyE5jerj3j998nv1yHpvgZfyzpharrGv42vlHWrqP41rcMdFEzZNlZ0nOKyUv/icV9VXQOP8Ez4724EjqkznK8Q3ZyM7uIwv8usjZQjXrYPh598jfV+ne6lgwd+pwzfKmW0Xv1baMwJugoh/K7bBo1H9MohjV05BM3ToZs4C4emz13LRUu5/LXaqReq7htxgxQYYRR2bBYsmt4Rc+bs9Pxkfsyef8tXua/IS1uMQNUEqRSK+ggn7iwNqi/+qPmRmZ53nqsld3gm95dCIlJpfC9h5lBh1GiDYTM/8N0nCPQkX+GCKkzgbsemQGd1YnLk5jvLsF3VSoWslkVq1xtQlrabN+n3Sigoz5655M4pT2eofu5n1+OTlPMs9+X0lfejbV3DDdna+go4PICP2SdJhJ75w1lFUU8/m0VQ5SuBB94hAYNd1b3ROW/BuPhQOlvs+kkkaD4bB13q+73Reem0t59MmcdI/36GNQiyzYN6PBYyNXyan213F3TFVW/7WTZvUPVBobqo6v/av/5lh7y/sRk2qvEqg5dNsdCXFEF7uBfs0PKri/HX9aV6BuGBlZCh8w9knN51WcC7aOdBMo6sfRqfQbzTcd/yqUWCx36ApKX+uPiHszBx5UOtIAOoPDiAkI23KWyq1lBhy6Drb0lKCPOYj8+pePhlj5IpZGcq4l+AbosYvpK6BR1y5TvoX1IzEAFnb9KND3EqeD+xgAUtaBDR8bmnkh9vuWuWd/7sH6h4+1v8+kpb8fwNZd4VWd9ltABhfy5YDSb7lZdjA5Ahy5jCwHvi+rpHrLNoO3Es1VvnHVY1qS0rKOdn2iXgI56CK39h7V+CgZtz7IDt5bQoXuyhyESNV8lmuO5lkfb+yN1/4o/SqD86hJ85cPZa/zwQcPfa3rR4bM++ClHc8iYjVpO8iIv1KHHyKl54ahHm1th0UaHDptfr7TxZ01qJRbaGl5RDt7DE7O3y5KrS+nurMBv5CJ2xl0j820NkVS5yAoYbDmu5BpRvm1QeQezJCaOa5lvqx421YWt6ihN4Ct3GX3X/mN6cBiKliYw013OkO2ZNdChCvnRsoNpb7PaW07/LQ+rK2+yf1smdFTw+PhEvGXeTD31tOaGYw0d6F5yYmI4h4w3EGvoSOM7fwkuk37FfpDUAAe9a0OH5hJzFRKG7Pmv5m1f/+YIoXIFEScs8xwqri+jm9w60gH5p8KQSibxq/2T16NPFZOycQgeEgX+E/eQkmd2cVnUYg0doHt5nC/DYysje45AR9pmejvJmVJXw3XpbOnlIHQ0OS0tBPvkKwI66iN5CdeW+CGX+zB64Q7ir2Zi+eiwhI7C+HDkkjDO5FueQ3tvLT2cfFhzRwslF5jT3p0v4wpA94wDQe6Efr+bCS7tmH2+FDR32dhbRfC+ZzXXvmVtYs1agUaHjvd9vWILOlyGx/LSghINn98dInpiIL5Kwye4rvQYFUVcZvWYsBUwWFtVtW749PHwikiGdnExfsar9hvN8jOZVSFsyzr0uUcJk9v53NepDT2W36yBDrfpv1sCjC6T7X3l+K5w5NNCO439RJtbHnRoeZkwj94uXYg4mGYxPFELOoCK9K2MnZVAHlbQQR6nQ2XIhuyvGkqz5ZByrsxTI+0STap5BKEskakSCcGHTZ+dajO3M0TmxswEy+iX9sFmBljndBjY9pdIZE5jOW0WQatpQfEfrA8bw9jR9fiNGohvVX927TqHc69tgUdt6DAMFWVsHcOchDwcyunIO8V4qTPD6rrpll9mgWF4ZaUDwysfW8saUZvHgoCOevqp4jU3Y1fy5WAv3AzTN6i6EhJ1hspHhzl06Hlx8Auk0pn8YZE9DbrHuwh0cmXBZQ3oC/gpUo3PgsuUFZ1lqscgtj9II2aQgj5r7lD2dC8jXAbXEVGvZ/tbQfEmCh1mylfkk5V8mHl9lci7r60aR7MEBrPSdhYryM9M5sicAFyde7DOOBhnVce7s0xVyQkye1utXVnl8IoqPN4yUU+TSrSXnEHb/619SBPb0rKgwwAcC+jr5suUow+xfLyDLeiAYq4uHcW3KUWkWczToePFweEo60wkTSHaW0KneZct4AZNEl8rJQzdY3rbqY50hJ/Is/iio+LGcrrbiHTknRyD1PlLEqu52rzf6Ap4/jCdjHTHf3/HLaCvQoJMPYD5h25jO9hhCzqA4mSWBa8mpejB++fp0L0gdris7kRSQ5KtUwcWXLZlnLmhBq7/yFpana6prwro+HAPVeRncfXQXPor2tDz27vGHA3zeTrsRjr+WUP36kgHel4fDqFtnw3cvryU7j5LuVZeQcqqHrgG7efu8XA8epnyOz68ta3nyKYPHUZf6Mk5PgYXxRQSjeHnd/wcqaC+83To3xxnrEzJtARDJVZ1GD7TC1LSNvSoWTIgGN5Yh8rVTDqdWxPpkHsuINns/qnN3MYgmR+rU6yQuQn2o5YDHRpe/DKPPm7d+erME8tPPat0tw0doH8Tx/SwncSvtZocrOgSCzs74zvnInkWkTdDheVk7QnCTR7ITutvP3WP2BlgyOm4aRqa02awfYCCLrMumOWIaHm4bRBKGzkd6Rv9kXZdh/lHLR/afXRvzrOguxx3/5kcf2DMw7dTlR3oQE9O3FTCd8Sx3mxyMH1OEutH+qCWu9J11EauVolUdGk+PhJv5l20BCzjScuz2BfkgmrwjqpPZvXkJK1jtI8rKpUPIRuTLbVuYlraEe6TbRbQ0UCp9W84MVqO65QE3lklkuoe7zbmdMy0yun4d3s/pC7TuFCV3KV7spvhLgOZPuUzOkw+a8zRKv3jazqrhjJ2mJruy65bRr4b2OSWfngThI53XF3ohdvAVVz6r5AKnY7S7GtsHOJKh4j4qlyKci593QGXfhu4m/uGnJJaTwjeJS/CVzmI1Rf/o7BCh640m2vrh6JuO4GfjNNTWtehI//SEnrJOxK8NpGM3GIKH//JhuEeuAWsI8UIO1VfrzjJ+WzWKdLySih8fIHVg9R4jjvFC1sR7CbWg1oGdOgpTF5BX4Wa4F0Zdi94e9BhSAh+tGs0Pb3bIrOakbT4zjaC1S70nnGAq4/yKdNUUPLqHr+sH00XuS8z4mxNDqYhZVlnpIH7zIZm9OT8MhNfRXdmxKaSXZBL5q/RDFM7I5X2Z2u6+fjMW06PaUO7OUm1ojX17z55XJjjS/sBK/jj1fs6pD3oMPD1v+wZ1QM/tXPVjKRaHm4fQcj2u+SVvOLysgEE766eebWYv7cF0V7Zk1kHknmcX4amooRX986xcZRhcrBpxFdPDmZIsA0azY67eZS8SmJF/xHsMU/ooilpWX/1G/sIAR31UPRdMku6uBC46k/+K6xApysl++p6hqk8iIx/g94KOqCAS/N9jV+vHDJ8vaIp5onx6xUln8ekm15ktA/4LkCGzElB8P7nxtwNff4ZJrlKkEo8mW8xWVA92ttKizZB6ABKMjizfBwDu6hROctw79iH0CXHuFdogovilBhCfVQoZH6svGYrwlBCxukVhAd44SFvg9LFk4CQpRy/V1gT7q5dh4YXf27jq6Fdq+b28GHolK1czq5+QFRCh0vAPL5bMgp/dwVuHfsQvuonMs0SAMU8HR/5atI944cRZnO1WE29rwo5YmyAfegwJFHcJLqrxJifYd3aitfXORQVTqCXGqVEQfsufQmdv4MLmfanQa9IjcZPGswxizk+Skg/sZjR3dvhKnfFe8BUtq2dgKd8mOWDtvAck5UdWJRsPUBk3bL3r2vuf8fIAUv43WYOh/XxdUCHUaIV+DtV5mJYHqnn9ZEIxv/wwix5roLX12NZHj4IX3cZMnlbfPuMYWHMeTLtTYOuf82xiDAOWtF6U9HS0ub/zZqAjvrpXpJxmuiwfvi6K5BLVXTpHULUsXtUPjrMczqq6tVkc2XbdIZ2USGTKOncZxzRJ++bRScN5SpIie6OvE1vNvxT9Z2sYX6aIAUy9TR+tf+5W/0a30pKNyJ0tAbFqnI6Pj/A8/e9RDZROVpGpKMJiqv7j/2ByroTKg2f7Z6ZgLt6JudrIFVPzomxuPfZQkY12zbAvLJn90l/3QgV1dGGssyjTB+1gisf/h8fAWVkHZ1KyPLLtf//pCaiZR0SfLJdAjo+mdTiRJ9IAQEd9RJaQEe95GplhUuvR9HDbzl/GQIWuifs+VxB26HrSH5WjFZXRs79OBb1cafn0iumNynNAzb37sKcP5rDzEJ6ClJ2MnlsFOefV73xfYiP9QWk7pjEuKhEXtippuVr6ZhwAjoc00mUaj4KCOiol68EdNRLrlZXuJDkRb0JPlA5X8e7h/F8Ez6QrmoFcomcdj6BTN14gac1087oeXViPL2mJ1rO+9JEdSvP2M+UCdu43aAIRzkZ+75k0rbUqpC3PWNbtpb2rLbeLqDDWhGx3twVENDR3D1Yz/aL4ZV6CiaKVylQwoWZ7ZDV5M9I6bX6tulrHUd1KjnPLA9n47w5xokE2/iz9radcIejdbbgcgI6WrBzW6lpAjpameMFdLQyhwtzm7UCAjqatftE420oIKDDhigteZOAjpbsXWFbS1NAQEdL86iwR0BHK+sDAjpamcOFuc1aAQEdzdp9ovE2FBDQYUOUlrxJQEdL9q6wraUpIKCjpXlU2COgo5X1AQEdrczhwtxmrYCAjmbtPtF4GwoI6LAhSkveJKCjJXtX2NbSFBDQ0dI8KuypF3RcuXzZ+KmbTOKM+DVPDXr4dRU+FP1XXL/NpA8YPitu6+om/NVM/CWei+9/Lhr69JbNm23S1/9Zbz139ixfToxEq9WKXzPVIDxsHIkJCcJ/zdR/4tprXfee3d9/z4ply8T1Kq7XFtMHdsTE8M3KaGu8MK7bhI7JkZNsFhYbm4cCYnilefhJtFIoYFBADK+IftDSFKjX8Ioh0iGgo3l3AQEdzdt/ovWtSwEBHa3L363BWgEdrcHLZjYK6DATQywKBZq4AgI6mriDRPPqrYCAjnpL1rwPENDRvP0nWt+6FBDQ0br83RqsFdDRGrxsZqOADjMxxKJQoIkrIKCjiTtINK/eCgjoqLdkzfsAAR3N23+i9a1LAQEdrcvfrcFaAR2twctmNgroMBNDLAoFmrgCAjqauINE8+qtgICOekvWvA8Q0NG8/Sda37oUENDRuvzdGqwV0NEavGxmo4AOMzHEolCgiSsgoKOJO0g0r94KNDJ0lPMi6XsWhfTDV+2Ci9yNTn6DiVi4h+QXFfVu3P/sgLJfmO6iYPQPLz+4CfqCe5yM3sLvBfoPruNjHCig42OoKuoUCnwcBQR0NEBX7XMSor7AVyVDoejJmluN8QzSU3DvR77Z8htN7NbeAKE+7aGNCB163v42jx7K7kzbf5XHeWVoNSW8vp/I5lGeuPjM4UJO03oA25W6EaCj+MwEVPJQjuc2LZsFdNj1utghFGhyCgjo+HCXaFJX00vqyfS4l5SVl1Gu+/C6TEcWExehQDX2GE3s1m5qYhNfajzo0GdzeLQSt/BT5Fs9Z3UvfmC03BA5eEGj+P1jiyqgow6F9WTHjkDppGbimddYuRp0aWz2l+G7MrWOOqp3VfD6xmFWRgTSra0SF7kHfn3GMD/mPA+LatVcfVAdf4u4HtWHkXufONjP9GSfCKPXzPMf/QZS8foGR5ZNYKiPB64yBR28+zL26x1ceFhUW8M6LKzeVXQtioDh+3ji4AWlzz7BeP+ZXGgid0p9/h2OLB5DgKc7KpmSjl2HM2fPDXKq7THcT4JkSN0jiHtduy/o0jbRW+rFqhRNtSSVfytec/PQciIH+9JBIUfV1od+o+exM/EhH9alrrO893D2Oy40P4b6M+t87gf51dIYMQ26tR71WS+/OI9O8kB2Zmnrc9h7ygroeI9A793deNChfUjMQBmqz3fx2AEf615fZ8+sL/D3UKJy8aRvyDJOpxVbNFj75jr7543ks7YKZFI13YbMIObKK6pvM5rsK+ycMZRuqjZI5e3pG7KCuIySmjo0N6LoophK7O9bmNa/C2rDzd5/LKt/eUJ5TSk9RfdPsiLkMzq5KPHwHsLsHasIVdQ9vKIvuEPsnCD82ypQytX49hvPih8fUIye3GOhqJwkxv/NVeokY9jOR5Vn073m+q7ZBHVrh6tcRefPxrLiVBo1VmtustxTyZT9iWwK742nQkkHv+EsiL1NfvXNGC331/dAKp3AuaIaIxxeaHikoxo6vOgxdCnJNY2vaoLD0FHE39tH0EHhz8y9l8jKLaWirIAXqXGsGeGJymc6Pz2t9rRj5pX+tZKe3VeSUuZYeWMpTRpb+noz92JBPQ6qX9GiO9sJbquk17R9JGXmUlpRRuHzVOK/GUlnuS8z45/V9GmHai79i+juPYiun6Gkbw7Ad9ZFPoal5XdimLH4HC9q+mkdluiecGiMBx4DoziXlktZeQH/JqxgiJsbw7bfxxgEr4aOLl35YskV0zVSVa1N6Ci6Q0yQB67+09l/KYvc0grKCp5zO+4bRnVU0G1aPM/q1aVKSVnRg54rUqhfl/qO/l6z+bMRhBaRjjr6kd1dGu6t74Oi5h4sQTXqEEZ2Lcngp28iGeLrgZtUhlt7f0YtOMq9GiLVU3DnIPOCutNBLkPl7s2gccs49aAY9LkcH6uouq9LkEqHsOuRAw87u+1snTsaDzqo4O7GfqicFHQNXsyu+Otk5Zoe7RbyFt9ibYCKdoOWcS4th+K8dH5eEIB7x3B+fFp113p3i9X+MjqP20vK6zI0ZbncPzYFX1l/dmTqoCCJxb7OeE84yN9vyqgoeszvqwbjphrBwUeVdxYjdDg549Z3PvH3cyktyyF12wg8ZIPY/ajyPLpX8Uz1VNBjSiyprwp4c+80i/qokDrJ68jpyCdxSns8Q/dzP78cnaaYZ78vpa+8G2vvVJ679vBKMX+t6Ye7+2BW/JxGTnEeGfEL6e/iyYQTzyrfzI3QIUEu60zojhtkFxXw38VvGebuStDef+v3YLIQ3LTSaNAhn86xuNmEbk2rfEhUn8JB6Ci8OBdviR+Lk/JrvxGWZ7E/SIUq8HsyHX1I6J5yYIiKUYeza9dX3TY7f/PiI1D32ky6o+fSllH8zsHCBX8yr5Mz3Rck1YoAQjn/7h2BuzyQ3Y4bytN9Q3EfcYTs2gEAOxZWbc77iYmq3nyX5mDb667Ncm/ZfXaP8GXYuutmgGxZpHpN+3Arg2WezP+jtHoTBi3+WtkDZZclXDVQRxV0qKYdJX7WGLanWY7H14aOAi7N6YzMdyGXrUOthtqz9hHsouDz7zMdvo50T/czzGUkR+svND9HuNJ3U5rD5zITwmJRQIeFHPVaqRXp0Ofz22wv3PosIfHfAsorinlxcxfhHeX0/fbvSl/lJzC9XXvG779PfrkOTfEz/ljSC1XXNfxtvGxEpKNeTrBRuBGhA6h4SuKqUfgpqt7ynVX49B/Hgi3x3H1bTYQ6so+MRS0fYhn2KrvOyq5yeiy/YWzm21PjUMnHcdpmOFjHkz2DkbnP4EKhmVXaf9nRT0K7r343bqyEDjWzf39nKlSayHSFnLATuYCWh9sGoWo/k0Szt5Kyv1bRq00d0KH9h7V+CgZtz6LaKtMJKpesoUOXfYQwlYJhMebHlHFjWTdc/FZw08BnRuhwxmPiWfJqKtTyeMcgXDwXc60+r1s1x1suNB50zOT30mccCo/kxEuz11tHoEP3nIPD2qAac5w3dh6c5TeX4+vUgYVXzB9MlraYr5WnrMRPPo4zb823FpN+agVhn3milqvw6hvB2p0LGajox3cPzDxXfJ4ZKg++/tOsn5hXY7VcdnEefaaec+DtV8eLH75ALh/DCRtDBMZqy2+y0ktCp/lXcMjS8lSivRWEn7YwlOK0U0SH9KKzSoG7ZwATV3/P4gAlAzc9MGt9MRemutJh9iUcs9TsUAcWda8SmO/fhdE7bteKTLz/cB3P9gzHRT6BOEMErxo6ZvxG6dNYJkw8jmU3sxxe0T3/gSBnBaHHbQz5GU9ezq1l3kjbzyfZMaFJXeGDKuw0FkoXp3F6+Vj6dnRF5dKJ/hFr2LWgH64Bm0kz71KJ01C3ncOlBgotoOP9PcdeCWvo0Of+yAQXdyadyTN7MSnllymuqEYeNEK89p9v6SHvT0ymmTMtTiCgw0KOD1hpXOioaoAmP4vkU9/zzcwx9O9YGY5Sek3kWJbhbaWUxOlqlJ+t467FC1cpidPUuAzabnj6cnW+Gtng3XbGrAv5ObwNstDT5FsYreXet12Ren9j3GqEDqkpqlG58TpR7eQEHXwB+jxOjlOgGn24MvRWXVfZH3zdrq7hlRKuLfFDLvdh9MIdxF/N5K1VUMcaOkoTZuAh7cX6fyyMpjRhOh6ywZWd3AgdCkJP5JhdFKC9vQo/WQDbHpo93KvbWs+/jQod5VB+dwMh8/+ghv0cgY78M0RInQnc9ch+7kV5EvPdJfiuSrULdibTK7gV1QnZsFizt389b85Ox0fuy+T9t3iZ/4a0uMUMUBnColbQQT5xYW1Qf/WHQw9+x6Ejn7hxMmQDd/HYruvKufy1GqnXKm7bu8+ZDKXiZhReki84ZPb2rX99lpmdFXSL3M9fL/PJeRDH0gBXDEN7ltAB+WfGIVd9xUWHHrxmJ3ZwsezBPkI9OxGyI5V6jf7pc4ib2Bal/xqMwUIz6CinnLsbRrPwD9ObgXWkI//MeJSSQeypimDaam550jzaOVeNRLUAABIRSURBVHmzOtUhoVnu6UxQrFnkTP+ac9O6oPKZxA+3XpL/5gHxiwJQO0lQWkEH+WcId3ZltkU0x1ar6t4moKNuferaaw0dlWXLybn/J3EHd7Bh2RwmDf8MT7kEl89385/hGi25RpRvG1TewSyJieNa5luzoXhDDQI66tLckX0fBTosTqx5yz+xk+nexpmOU89RqM/lWIjZuJjZuJvUSYLcb4URTBImyZCNPo7ND170L4gdJkE543fL0D46Hu8ahFQ1z9gEI3TIPueHZ2Z3fM11lrWXM/zAc9D9x95hclQTf7J886tI4ZtuyjqGVwxRndfcjF3Jl4O9cDPYoOpKSNQZMqtu5pbQoSf36FizPI/qfI/qiFBXom9WVEU6XPjqd0uC0WVupb/Mm2jrpDkLoR1baWzogEL+XDCaTXer2uwAdOgythDgJCPy5zoeS7qHbOstQTnx7PvfmnVZxPSV0CnqlimcbcwxUtD5q0QTEFHB/Y0BKGpBh46MzT2R+nzLXQeeRw5Dhy6DrQYbIs7W8QDW8XBLH6TSSM5Z58fUcqmOf7cHIG0fxV817FoVrev4FedNz2Qq7m1kQJva0KHL+I7eTr6s/ceGoWXX2DRyEIMHDGzQr28nJVJJB0ZtTzHTvpYxZhv0FFxZSi+ZmtEHHldCpgV0AIUXWTRqA6ZuZh7p0JHxnUHDuvOcdA8r+92XZ98rNLqs7fR36sDyWzVCo324jUC5J7MTzIW+z+YAaW3o0GWwxV9CtzX/OADNZlJYLQrosBKkHqu1oEP3ksQFfWnbxp1ugeOYFbWZ2F9vcDDSDZfPd9W84BqSvg+viGRoFxdj/obabzTLz2RWvZAI6KiHC2wW/fjQYTitPpvYkXKUAd+Rrn3HucmuuAzbU0mWNpul4eq8uiMdP423Hem4u9rPMtJRF3To8zk1Xokq2PwN2TAAnMRiz7oiHZaNrsjP4uqhufRXtKHnt3eNDz5L6IB3Zyejln3BXiNOWx5fs1YV6ZgQb3ZTM8R9UlZW5rL8awZPNQfVb6HxoQN0L4/zZXgsRrZzBDrSNtPbSc6UX+uIPevS2dLLQejQXGKuQsKQPf/VRE70b44QKlcQccIyZ6Ti+jK6ya0jHZB/KgypZBJ1NalaacehI43v/CW4TPrVEmqrKzL+NQBPbwehQ0PSLCXSQWbXjv6NEeJV4360zBmpuM4KH0WtSAf5pxjv5MzkX2xor8vj35Rb3Lp5s1F+f/2VzmvTM9vCavOVisfHmdRJju/kUzytZiFr6EDHy+ORTIitzH+yjHToSN/UE6nsSxJsmFV9Ll36d/R1kuEIdGguzcbVabDZ9aon50gIKvl4TlrkjFRwY5kvKutIB/mcDpUgi/ylDt9Xt8z+XwEd9rV53x5r6ChLXoJfmw5MOvHc9HJCIacjFBbQYaq3gvzMZI7MCcDVuQfrjKF5AR0mfT5sqdGgQ3PnW/pIOzDjnOVNvrJZxfwc6UqHKWcpQMfTfSNwdQ3jmFmIGG0mMYMVeEw4baAUck+GoVKEE29KbjCzUMfj3YacjulWOR1ZxARIcJ963lj2vZEOtDz+/nNUbSfz81tTcoHm/iYGSOvI6TBrSc2i/g0nRstxnZJgvMm8i59kMU+HISktWOHG+KNm4Vq0ZG4PROU+kTOG3BUjdLTBa4H5+L6WrG39cfFdRaplLl3Nqeuz8DGgAyrI2DqGOQl5jn0ym3eK8VJnhu2rSqC1ZUD5ZRYYhldWOjC8UpbIVImE4MOm8Xxt5naGyNyYmWCZCKN9sJkB1jkdhtjaL5HInMZy2kZ/K4qfhb+XN77Vv/ZKpPJ2pnUvb/ynnzLLw6k2KI/ToTJkQ/ZXAln1Zou/5VyZp0baJZr3R/3LOD/ZGWnQEVMujDaLmEFy2k5LsMwx0T7gu1o5HUZD+VIiIeyUDUMt2vVpVrQvDXkgKnzGHSTdfMinFnQYoovpbB89i0RjNzOPdEDeqTCUkqEcqE5Et9H88suG4RXDZ7bVZGOjUNWmsoTJyJxGcLQmF0dL1vbBuLhOJ9GiS2lJ2xRQK6fDMIz860RnpCG2+oX981rvEdBhrYjj65bQoSfn8BhUhhc/8z5SmsxSnzYoh3xvdwhU/+Y4Y2VKphmJ9h0/R4p5Ohz3Qu2SjQYd6J5xemJnVJ2CWX0imYeviijXaniX8y83js9nUJcgdt+vvFr1+ZdY6q+gU9A6zmfkUlzwmEvrhtNB2Y/1KVWvKu9S+PYzOT6RR7j3thxteQGPL64mUN6ZhZeLoeASC30MX6/EGr9e0RQ/qfx6RRHIzvTKp/P7oQP0+RdZ3FWB7/jvufa8gLeZvxI9WI2srq9X3iWzpIsLgav+5L/CCnS6UrKvrmeYyoPI+DfGfAxjh5f1Z9M/ueTklBhORNJif1QdglifkEFuscGedYxs68LAtSmVb0NG6JAglfkz59QD8koKeHxhFUPc2xNxsnHmOPk40GEY6kxmWfBqUooevH+eDt0LYofL6k4kNSSGOnVgwWXzJ1HtDmzcoknia6WEoXtMEFMd6Qg/YZ40BhU3ltPdRqQj7+QYpM5fkujA6RyOdKDjxcHhKOtMJE0h2ltCp3mXHcgn0XB5tgvSwXtNEKN/w9ExClRhJ8gzcbPBUFb62oh05J0i1KkNUxIcMNSO3I21WfsykUW93Ok26SgPLR7klomk5oONxclLGbM6haIHltChe3GQkdK6E0lTVvggbT8PR3KTNUlzcHMKZF/NA6rqoSUfx4+WQnNzmZ+NSEcep8dIkE9KcMCv9hUV0GFfm/ftsYQO0NxdT4BMxdDVSbx4V07R01scm9UbV7OcnHfJi/BVDmL1xf8orNChK83m2vqhqNtO4Cdj1ns5l77ugEu/DdzNfUNOiflF974Wif0GBRoPOgy1lb8gee9SJgT608VNgdxZTtuOPQmevoFzGYYZLEz/NC8uETP9c3pUzXPhN3gq25OyLcY/DfN07J4xBF/DPBzOrvgOmsSmhMc1b3Sa7MvETAvE18UZmcKTfmErOX3flCfgCHQYWlT2OIH1EQF4qRS4dQzgy43fMdO77pyOkozTRIf1w9ddgVyqokvvEKKO3aOw2sjiVHaM8cG9jZzuy65XGq55waVtM/jCzwOVVIGHdyDTtyaRXf3iZYQOOQO+3kxUcHfayV3o3Hscq+MzzUK0TWSeDvlMLFNP9OTETSV8RxzrzSYH0+cksX6kD2q5K11HbeRq1Q276NJ8fCTezLtoCQVGocqz2BfkgmrwjqpPZvXkJK1jtI8rKpUPIRuTLR+wukfsDDDkdNw0hU21GWwfoKDLrAtm+RSV+Q9KGzkd6Rv9kXZdh/lHLabearnkOHQARZdY2NkZ3zkXLdtcaShZe4JwM0xgVPXJrD29Klug43FMP2NOhynVQEvG1oGoOs7mN1PXr8w/kNrI6UjbxGdO3dhwv7rTmdtWQMq2YLzkclxkjfBT9mdD1Sfk5mcxLGue/8L8nu74Tz/DE1sRPFuRDsOB+jfETxnH93HrrCYHKyJpfhdkXnP50wIKKs9cnrmXYKWCoTFVn8zqc7i8NpiuKgVqn9FsTrbsh7pHOxhoyOm4aRof0mZsZbDck7kXLIQ2zk9UK5HUMMzYQ4L/uvsW9zRrHd63LqDjfQrZ328NHVDCg6Nf84WPGpc2Ctr7DCIy+hiJm4NwdZtQ9aVkCRmnVxAe4IWHvA1KF08CQpZy/F5hzfOrOCWGUB8VCpkfK6/Z6rz22yT2NDZ0CEUbpkBVTsfwA6Y39oZVWPvojxbpMJxK8y97RvXAT+1cNSOplofbRxCy/S55Ja+4vGwAwburZwst5u9tQbRX9mTWgWQe55ehqSjh1b1zbBxlmBxsGvHVk4MZkkKDRrPjbh4lr5JY0X8EeyxmiNSQsqwz0sB9pggAenJ+mYmvojszYlPJLsgl89dohqmdkUr7szXd/KH7ltNj2tBuTlIN0NZWzrSlXtBhCALd2Uaw2oXeMw5w9VE+ZZoKSl7d45f1o+ki92VGXPXkYHXpVXl+zV/L8HYKZH/NG7jhOfwLs7oo8Z96iNTsAnIzf+WbwLbInGQM+i7d1HDg7ckxyN3nctk6slBdSpfPzU3D8ew4hr33itFoNB/+02prcmyqqzf81RckE91LiUfQLjLMwxgWhSpnJFXN+M3q6wFDN9tFSHcf2kusZiQtNkwO1hY3/5kcTH5EfpmGipJX3Du3nhDD5GBT42omB9M+3E7wqBju5pXwKmkZg4KsvpTT/MWKThI+32t2Lerf8OsML1y7TeNwSjaFuZkkRA+hvUSCst8WMiy61ClCndXMS7IntLmx9pcFdNjXRuxpngo0bqSjeWrQdFrd3KHDkDJwcwX+TpW5GJbC6nl9JILxFlPhV/D6eizLwwfh6y5DJm+Lb58xLIw5T2bNDIGWtaB/zbGIMA5aTX1ZkRqNnzSYYzVj8IbjSkg/sZjR3Q0zwLriPWAq29ZOwFM+zBJaCs8xWdmBRcmOPSDqCx2GllS8vs6hqHACvdQoJQrad+lL6PwdXMi0Nw26Lb0MFaWyylvG6KOm/BWjpWk/snRkDzoqFKg7DWT6lnVEtlMwfNcTMwEL+SXShU4Lkt8DVwX8tXk4Xv5fk/iq4cnLZg0AdDzfP9L+l1zyEI4Zwtj2Ih3Gykq5tbwbUmN+hikSYdxV8ZobsVFMGOiNh9QZldqLfmPmszMx0+406PrXR5gY+oPVbKoV3F7pg3LkUVP+jOEEJWmcXBRMT8NMyqrODJ6yhfUR7Y0zMZtzcOG5Sbi1X8BVx7qUpURmawI6zMQQiy1CAQEdTcmNzQI6PkywssyjTB+1gisN+q8Zy8g6OpWQ5Zdr/w+Puv/YH6isOznV8OXlmQm4q2dyvuYrBz05J8bi3sfqTfXDzGy0o+zrpeO/vUNwrTM5FSg4Q6RLW2aZfc6hf/MjYS592WbxSm6nybo8rq0JpOuIndxr4IPTzhmaxuayLI5NGU305YKa8Hl1w3T/7WOYou7kVCggLkJF+xmJpiFQ/RtOhqjotyWjQUMrhnYI6Kj2hvjbUhQQ0NFSPOmgHQ0fXnHwRDXF9BSk7GTy2CjOP7d6K60p48CCvoDUHZMYF5XICzvVlF6Pooffcv4yPCR1T9jzuYK2Q9eR/KwYra6MnPtxLOrjTs+lV0x5HpoHbO7dhTlmE0850JqPWMQBvUqvs9yvKytvGQ3lye5hqFw/Z8OVZxRrdZTl3Cd+QV88ui8luSb9QEPaxj74zPrD8f97RfeSX+f0J2zfkwY/PD+iYB9ctb4gle8jQ1meYP4JpXl1pdyI6kqPZbeMkSHdk90Ml7vxxborPC/WoivL4UHcAvq59WDZlRqh0TzYREDnWTTGf+cjoMPcH2K5JSggoKMleLEeNnxq6CjP2M+UCdu43aAIRzkZ+75k0rZUU6KuTZsLSV7Um+ADlfN1vHsYzzfhA+mqViCXyGnnE8jUjRd4WpNHoOfVifH0mp5oexI6m+f4uBsd1avwymL6Bh2onOvm3UN+ig5nsE9bVM7OuLj7MHTyJn4zGYr+1Y9E+M/gvM3Z9uqwSVNGmR3Iq+Oopr+rPIMDkyYSk1o7wmHR+MIrLO01goPG+XXe8TA+mgkDfGgvb4NMpqbr4MlsvvDUlHeif8XJcf58lWA5q7BFnfVYEdBRD7FE0WahgICOZuGmxmvkp4WOEi7MbIesZtZZKb1W3zZ9YeKoWSXnmeXhbPrfHdv4s/Z2S3wSNpJejuraisuVJM6ko8Q0M7Cievr1JqaJgI4m5hDRnAYrIKCjwRI2rwo+LXQ0L21Ea4UCTU0BAR1NzSOiPQ1VQEBHQxVsZscL6GhmDhPNbdUKCOho1e5vkcYL6GiRbrVvlIAO+9qIPUKBpqaAgI6m5hHRnoYqIKCjoQo2s+MFdDQzh4nmtmoFBHS0ave3SOPrBR2Xk5IIHjGCeXPmil8z1SBs7FgmR04S/mum/hPXXuu694SPG8f40DBxvYrrtcX0gfCwMHbG7LAJVP9nvfXt27ccO3pU/JqxBqdPnhL+a8b+E9df67v/nDh+XFyz4pptUX0gMzPTGi+M67Wgw2YpsVEoIBQQCggFhAJCAaFAAxUQ0NFAAcXhQgGhgFBAKCAUEAo4poCADsd0EqWEAkIBoYBQQCggFGigAgI6GiigOFwoIBQQCggFhAJCAccU+H+rjbLqRTlVsQAAAABJRU5ErkJggg==\" width=\"477\"/></span></p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>N</mi><mi>O</mi></math>: second ✔<br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>O</mi><mn>2</mn></msub></math>: first ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>not possible <em><strong>AND</strong> </em>«proposed» mechanism does not match experimental rate law<br/><em><strong>OR</strong></em><br/>not possible <em><strong>AND</strong> </em>«proposed» mechanism shows zero/not first order with respect to oxygen ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could correctly deduce the order of each reactant from rate experimental rate data.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>60% of candidates could explain why the proposed reaction mechanism was inconsistent with the empirical data given.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.11",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the energy released, in\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      kJ\n     </mi>\n    </math>\n    , from the complete combustion of\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n     </mo>\n     <msup>\n      <mi>\n       dm\n      </mi>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n   </span>\n   <span class=\"fontstyle0\">\n    of ethanol.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Outline the advantages and disadvantages of using biodiesel instead of gasoline as fuel for a car. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    <img height=\"392\" src=\"data:image/png;base64,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\" width=\"694\"/>\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    A mixture of gasoline and ethanol is often used as a fuel. Suggest an advantage of such a mixture over the use of pure gasoline. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Methane is another greenhouse gas. Contrast the reasons why methane and carbon dioxide are considered significant greenhouse gases.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n   </mo>\n   <mn>\n    200\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mrow>\n     <mo>\n      −\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    00\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    106000\n   </mn>\n   <mo>\n    /\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    06\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  renewable ✔\n </p>\n <p>\n  uses up waste «such as used cooking oil» ✔\n </p>\n <p>\n  lower carbon footprint/carbon neutral ✔\n </p>\n <p>\n  higher flashpoint ✔\n </p>\n <p>\n  produces less\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mi mathvariant=\"normal\">\n     x\n    </mi>\n   </msub>\n  </math>\n  /\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less polluting emissions ✔\n </p>\n <p>\n  has lubricating properties\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  preserves/increases lifespan of engine ✔\n </p>\n <p>\n  increases the life of the catalytic converter ✔\n </p>\n <p>\n  eliminates dependence on foreign suppliers ✔\n </p>\n <p>\n  does not require pipelines/infrastructure «to produce» ✔\n </p>\n <p>\n  relatively less destruction of habitat compared to obtaining petrochemicals ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “higher energy density” OR “biodegradable” for advantage.\n  </em>\n </p>\n <p>\n  <br/>\n  <em>\n   Disadvantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  needs conversion/transesterification ✔\n </p>\n <p>\n  takes time to produce/grow plants ✔\n </p>\n <p>\n  takes up land\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  deforestation ✔\n </p>\n <p>\n  fertilizers/pesticides/phosphates/nitrates «used in production of crops» have negative environmental effects ✔\n </p>\n <p>\n  biodiversity affected\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  loss of habitats «due to energy crop plantations» ✔\n </p>\n <p>\n  cannot be used at low temperatures ✔\n </p>\n <p>\n  variable quality «in production» ✔\n </p>\n <p>\n  high viscosity/can clog/damage engines ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “lower specific energy” as disadvantage.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “lower octane number” as disadvantage”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any one:\n  </em>\n </p>\n <p>\n  uses up fossil fuels more slowly ✔\n </p>\n <p>\n  lower carbon footprint/CO2 emissions ✔\n </p>\n <p>\n  undergoes more complete combustion ✔\n </p>\n <p>\n  produces fewer particulates ✔\n </p>\n <p>\n  higher octane number/rating\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less knocking ✔\n </p>\n <p>\n  prevents fuel injection system build up\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  helps keep engine clean ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept an example of a suitable advantage even if repeated from 11c.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e(ii))\n </div><div class=\"card-body\">\n <p>\n  carbon dioxide is highly/more abundant «in the atmosphere» ✔\n </p>\n <p>\n  methane is more effective/potent «as a greenhouse gas»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane/better/more effective at absorbing\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    IR\n   </mi>\n  </math>\n  «radiation»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater greenhouse factor\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater global warming potential/GWP✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “carbon dioxide contributes more to global warming” for M1.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Almost all were able to calculate the energy released from the complete combustion of ethanol.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Most gained at least one mark for an advantage of using biodiesel instead of gasoline as fuel for a car and most scored one mark at least for a disadvantage of biodiesel. Many conveyed solid understanding, though the disadvantages were not as well articulated as the advantages. Some incorrectly based their responses on cost factors which were excluded as outlined in the stem of the question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Most scored the one mark for this question, with \"less knocking or higher octane number/rating\" the most common correct answer seen.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e(ii))\n </div><div class=\"card-body\">\n <p>\n  This was another \"Contrast-type\" question, which was better answered compared to (e)(i). Many scored both marks by stating that carbon dioxide is more abundant in the atmosphere whereas methane is more effective at absorbing IR radiation.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Calculate the energy released, in\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      kJ\n     </mi>\n    </math>\n    , from the complete combustion of\n    <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n     </mo>\n     <msup>\n      <mi>\n       dm\n      </mi>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </math>\n   </span>\n   <span class=\"fontstyle0\">\n   </span>\n   <span class=\"fontstyle0\">\n    of ethanol.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Outline the advantages and disadvantages of using biodiesel instead of gasoline as fuel for a car. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n   <span class=\"fontstyle0\">\n    <img height=\"392\" 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\" width=\"694\"/>\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    A mixture of gasoline and ethanol is often used as a fuel. Suggest an advantage of such a mixture over the use of pure gasoline. Exclude any discussion of cost.\n   </span>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span class=\"fontstyle0\">\n    Methane is another greenhouse gas. Contrast the reasons why methane and carbon dioxide are considered significant greenhouse gases.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n   </mo>\n   <mn>\n    200\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mrow>\n     <mo>\n      −\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    00\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     dm\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    106000\n   </mn>\n   <mo>\n    /\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    06\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    «\n   </mo>\n   <mi>\n    kJ\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Advantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  renewable ✔\n </p>\n <p>\n  uses up waste «such as used cooking oil» ✔\n </p>\n <p>\n  lower carbon footprint/carbon neutral ✔\n </p>\n <p>\n  higher flashpoint ✔\n </p>\n <p>\n  produces less\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mi mathvariant=\"normal\">\n     x\n    </mi>\n   </msub>\n  </math>\n  /\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     SO\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less polluting emissions ✔\n </p>\n <p>\n  has lubricating properties\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  preserves/increases lifespan of engine ✔\n </p>\n <p>\n  increases the life of the catalytic converter ✔\n </p>\n <p>\n  eliminates dependence on foreign suppliers ✔\n </p>\n <p>\n  does not require pipelines/infrastructure «to produce» ✔\n </p>\n <p>\n  relatively less destruction of habitat compared to obtaining petrochemicals ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “higher energy density” OR “biodegradable” for advantage.\n  </em>\n </p>\n <p>\n  <br/>\n  <em>\n   Disadvantages:\n   <strong>\n    [2 max]\n   </strong>\n  </em>\n </p>\n <p>\n  needs conversion/transesterification ✔\n </p>\n <p>\n  takes time to produce/grow plants ✔\n </p>\n <p>\n  takes up land\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  deforestation ✔\n </p>\n <p>\n  fertilizers/pesticides/phosphates/nitrates «used in production of crops» have negative environmental effects ✔\n </p>\n <p>\n  biodiversity affected\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  loss of habitats «due to energy crop plantations» ✔\n </p>\n <p>\n  cannot be used at low temperatures ✔\n </p>\n <p>\n  variable quality «in production» ✔\n </p>\n <p>\n  high viscosity/can clog/damage engines ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “lower specific energy” as disadvantage.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “lower octane number” as disadvantage”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any one:\n  </em>\n </p>\n <p>\n  uses up fossil fuels more slowly ✔\n </p>\n <p>\n  lower carbon footprint/CO2 emissions ✔\n </p>\n <p>\n  undergoes more complete combustion ✔\n </p>\n <p>\n  produces fewer particulates ✔\n </p>\n <p>\n  higher octane number/rating\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  less knocking ✔\n </p>\n <p>\n  prevents fuel injection system build up\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  helps keep engine clean ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept an example of a suitable advantage even if repeated from 9c.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  carbon dioxide is highly/more abundant «in the atmosphere» ✔\n </p>\n <p>\n  methane is more effective/potent «as a greenhouse gas»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane/better/more effective at absorbing\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    IR\n   </mi>\n  </math>\n  «radiation»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater greenhouse factor\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  methane has greater global warming potential/GWP✔\n </p>\n <p>\n  <br/>\n  <em>\n   Accept “carbon dioxide contributes more to global warming” for M1.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Even rather weak candidates answered this one correctly.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  There were many good answers, but few candidates fully scored. Higher energy density and lower specific energy were quite common, and so references to damaging engines. Many students spent more time explaining each advantage rather than simply outlining. There were fewer journalistic and generic answers for this type of question than in the past.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Another question where many candidates obtained the mark. In quite a few cases students repeated the argument for (c) and this allowed them to get two points for the same answer.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  We received many good answers, but it was worrying the number of students that still provided general and shallow comments. Of the 3 contrast question this had the best response.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Iron may be extracted from iron (II) sulfide, FeS.</p>\n</div><div class=\"specification\">\n<p>Iron (II) sulfide, FeS, is ionically bonded.</p>\n</div><div class=\"specification\">\n<p>The first step in the extraction of iron from iron (II) sulfide is to roast it in air to form iron (III) oxide and sulfur dioxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why metals, like iron, can conduct electricity.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why sulfur is classified as a non-metal by giving <strong>two</strong> of its chemical properties.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the first eight successive ionisation energies of sulfur.</p>\n<p><img height=\"394\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"480\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in this type of solid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State a technique that could be used to determine the crystal structure of the solid compound.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electron configuration of the sulfide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, in terms of their electronic structures, why the ionic radius of the sulfide ion is greater than that of the oxide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why chemists find it convenient to classify bonding into ionic, covalent and metallic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the change in the oxidation state of sulfur.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why this process might raise environmental concerns.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the addition of small amounts of carbon to iron makes the metal harder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>mobile/delocalized «sea of» electrons</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>forms acidic oxides «rather than basic oxides» ✔</p>\n<p>forms covalent/bonds compounds «with other non-metals» ✔</p>\n<p>forms anions «rather than cations» ✔</p>\n<p>behaves as an oxidizing agent «rather than a reducing agent» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for 2 correct non-chemical properties such as non-conductor, high ionisation energy, high electronegativity, low electron affinity if no marks for chemical properties are awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"378\" src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"465\"/></p>\n<p>two regions of small increases <em><strong>AND</strong> </em>a large increase between them✔</p>\n<p>large increase from 6th to 7th ✔</p>\n<p><em><br/>Accept line/curve showing these trends.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✔</p>\n<p>between oppositely charged ions/between Fe<sup>2+</sup> and S<sup>2−</sup> ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X-ray crystallography ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “[Ne] 3s<sup>2</sup> 3p<sup>6</sup>”.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«valence» electrons further from nucleus/extra electron shell/ electrons in third/3s/3p level «not second/2s/2p»✔</p>\n<p><em><br/>Accept 2,8 (for O<sup>2–</sup>) and 2,8,8 (for S<sup>2–</sup>)</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>allows them to explain the properties of different compounds/substances<br/><em><strong>OR</strong></em><br/>enables them to generalise about substances<br/><em><strong>OR</strong></em><br/>enables them to make predictions ✔</p>\n<p><em><br/>Accept other valid answers.</em></p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>4FeS(s) + 7O<sub>2</sub>(g) → 2Fe<sub>2</sub>O<sub>3</sub>(s) + 4SO<sub>2</sub>(g) ✔</p>\n<p><em><br/>Accept any correct ratio.</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>+6<br/><em><strong>OR</strong></em><br/>−2 to +4 ✔</p>\n<p><em>Accept “6/VI”.</em><br/><em>Accept “−II, 4//IV”.</em><br/>Do <strong>not</strong> accept 2- to 4+.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfur dioxide/SO<sub>2</sub> causes acid rain ✔</p>\n<p><em>Accept sulfur dioxide/SO<sub>2</sub>/dust causes respiratory problems</em><br/><em>Do <strong>not</strong> accept just “causes respiratory problems” or “causes acid rain”.</em></p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>disrupts the regular arrangement «of iron atoms/ions»<br/><em><strong>OR</strong></em><br/>carbon different size «to iron atoms/ions» ✔</p>\n<p>prevents layers/atoms sliding over each other ✔</p>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-3-electron-configurations",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "structure-2-3-the-metallic-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>When dinitrogen pentoxide, N<sub>2</sub>O<sub>5</sub>, is heated the colourless gas undergoes thermal decomposition to produce brown nitrogen dioxide:</p>\n<p style=\"text-align: center;\">N<sub>2</sub>O<sub>5 </sub>(g) → 2NO<sub>2 </sub>(g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>O<sub>2 </sub>(g)</p>\n</div><div class=\"specification\">\n<p>Data for the decomposition at constant temperature is given.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how the extent of decomposition could be measured.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Plot the missing point on the graph and draw the best-fit line.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why increasing the concentration of N<sub>2</sub>O<sub>5</sub> increases the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the rate expression for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the rate constant, <em>k</em>, giving its units.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>use colorimeter<br/><em><strong>OR</strong></em><br/>change in colour<br/><em><strong>OR</strong></em><br/>change in volume<br/><em><strong>OR</strong></em><br/>change in pressure ✔</p>\n<p><em>Accept suitable instruments, e.g. pressure probe/oxygen sensor.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>point correct ✔</p>\n<p>straight line passing close to all points <em><strong>AND</strong> </em>through origin ✔</p>\n<p><em><br/>Accept free hand drawn line as long as attempt to be linear and meets criteria for M2.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>greater frequency of collisions «as concentration increases»<br/><em><strong>OR</strong></em><br/>more collisions per unit time «as concentration increases» ✔</p>\n<p><em><br/>Accept “rate/chance/probability/likelihood” instead of “frequency”.</em></p>\n<p><em>Do <strong>not</strong> accept just “more collisions”.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>rate = <em>k</em>[N<sub>2</sub>O<sub>5</sub>] ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>k</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>∆</mo><mi>rate</mi></mrow><mrow><mo>∆</mo><mfenced close=\"]\" open=\"[\"><mrow><msub><mi mathvariant=\"normal\">N</mi><mn>2</mn></msub><msub><mi mathvariant=\"normal\">O</mi><mn>5</mn></msub></mrow></mfenced></mrow></mfrac></math> ✔</p>\n<p>«<em>k</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>75</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi>min</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></mrow><mrow><mn>25</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></mrow></mfrac></math>= » 0.030 «min<sup>–1</sup>» ✔</p>\n<p>min<sup>–1</sup> ✔</p>\n<p><em><br/>M1 can be awarded from correct M2 if not explicitly stated.</em></p>\n<p><em>Accept k = gradient.</em></p>\n<p><em>Accept values in the range 0.028–0.032.</em></p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iv).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.7",
+    "Question": "<div class=\"specification\">\n<p>Oxygen exists as two allotropes, diatomic oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw a Lewis (electron dot) structure for ozone.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss the relative length of the two O−O bonds in ozone.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why there are frequencies of UV light that will dissociate O<sub>3</sub> but not O<sub>2</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain, using equations, how the presence of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub></math> results in a chain reaction that decreases the concentration of ozone in the stratosphere.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"78\" src=\"data:image/png;base64,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\" width=\"437\"/>✔</p>\n<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>\n<p><em>Do <strong>not</strong> accept structures that represent 1.5 bonds.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>both equal ✔</p>\n<p>delocalization/resonance ✔</p>\n<p><em><br/>Accept bond length between 121 and 148 pm/ that of single O−O bond and double O=O bond for M1.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond in O<sub>3</sub> is weaker<br/><em><strong>OR</strong></em><br/>O<sub>3</sub> bond order 1.5/&lt; 2 ✔</p>\n<p><em><br/>Do <strong>not</strong> accept bond in O<sub>3</sub> is longer for M1.</em></p>\n<p><br/>lower frequency/longer wavelength «UV light» has enough energy to break the O–O bond in O<sub>3</sub> «but not that in O<sub>2</sub>» ✔</p>\n<p><em><br/>Accept “lower frequency/longer wavelength «UV light» has lower energy”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub><msub><mtext>(g) →∙CClF</mtext><mtext>2</mtext></msub><mtext>(g) Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>Cl•(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→O</mtext><mtext>2</mtext></msub><mtext>(g)+ClO•(g)</mtext></math><br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>ClO∙(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→2O</mtext><mtext>2</mtext></msub><mtext>(g)+Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>\n<p><em><br/>Do <strong>not</strong> penalize missing radical.</em></p>\n<p><em>Accept:for M2:</em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>Cl∙(g) + O</mtext><mtext>3</mtext></msub><msub><mtext>(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + ClO</mtext><mo>∙</mo><mtext>(g)</mtext></math><br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>ClO∙(g) + O(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>Limestone can be converted into a variety of useful commercial products through the lime cycle. Limestone contains high percentages of calcium carbonate, CaCO<sub>3</sub>.</p>\n<p><img height=\"218\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"538\"/></p>\n</div><div class=\"specification\">\n<p>Thermodynamic data for the decomposition of calcium carbonate is given.</p>\n<p><img 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8y3i6yhZnCRHXRS3MkBAeM4AxByZ4HyL+DpKHCfJURfFrQwQEJ4zADFHJjjfIr6OEsdJctRFcSsDBITnDEDMkQnOt4ivo8Rxkhx1UdzKAAHhOQMQc2SC8y3i6yhxnCRHXRS3MkBAeM4AxByZ4HyL+DpKHCfJURfFrQwQEJ4zADFHJjjfIr6OEsdJctRFcSsDBITnDEDMkQnOt4ivo8Rxkhx1UdzKAAHhOQMQc2SC892n+KqD6Z7DUysnMOm/ltzLIX4Kve5sqcMDy7F8nwyfJJyKlBuorhzH7MoWwkdJWh7WJ8Yex2r1huVmtpc4SdlazsiaOaY8dvR89PRmdZL15TrDdgf1y2uYH6dXNyP1hU5P9usTpVOfp1Bu7GVUADfMOM9zjzB1PAQ1ciDn5NwanuWngPeYr+uPcb77EF86klk1nkvmmHgloJewqo6In1lDlR0d3x6Ubmy10KxtYn483GgDMabj4tvn6N01+XY6udU3ZU457aps/sNdfeEkdfXgIBK3Gnj+vNfhhsX3mncq8swyyroh7aJROYdZdlqtdwLtFObPX0GjBbQal3F2ZgKTixXsWH1ndWP9JSbi1sS5u+g0z72iqQcphzC7fFlzDJh64LcbcxT9+AI2ajvq+GpUlouwHkXfqw+OPsf57l18CWDLiNE7CnwCR9draKUBoRtbbdICahR7LL3wt15BeWE6vZ+qLPpo7GmcLL2Srmxpym9Jw0my3B7SJepcj2B+5REszUwgJL561HoI86WrzD8jyMV11FvmmPKDK6j6A9gOR5drvif8Y+WZ4ZH46ibP/UBLx7Dfh436m4GhvSpWD05jqXLNtKFIh2utO8Hjo/KN892j+CYA7CO0g3r1ZX+UEoxKaQo5gdnFx1Ft7Opww05lGZOFCFlWW53yBbyRlSHZt2H/4qXl+ZK4TPl/2S0+HTJiocXEbjeLq5ykLOxlY2MPjdIZzOsR6FWU5w6FxdeaCRdf832uhAZLu1ddwWEr/2aEVOhmNsMM5+Crmzz3A5yqI6csIaIO9UXEN+1f0jKHKYZGMAmE6ZHiBCbnNlHTYYhdNLYu6JifN9XswhZSpDX5hUZkVtcso7CdCpbGJ4LpUvMlbKgQSkRok8XCmlFPF91vlB0aE5VaY3rAhBW8Z8as4nsEq9VI1H3ER70KIvd5JiLTfiYMkEL1IGKrWUN5sYixmXOo6AFZ5P4I/eR89zjyTSGC7QAzAuk1wm5smbQRMQxnZW/g4TTqlyWd7n0nOi++DaCX5iTFfXfhShrxNWGg8dMob6tZjgVzAF5nFhVfasTpZjEuINKLD+7z3EOpKDRIMV+2RhDueGmUrGbEwTpADznm5hHOd4/iaxk1ti3+LhrVZ1AulVAuPapjhcoJj4hubKUQ6tQjX5t47KC2vmB2bqgFvSdQfrpqFg1YAXX8qouYNns07VdOUtpnek9nRNG6w8ALFcVnEjb8uAeRRRV9qxvx5eEKbne0vg+W58Fh12pcwZqaNeo6VcRS6RlstAlT+QuvCyVsp1ooGlxZssyJ892j+NKohMdLuYtNVM8vYrVURWPPrGQWilhav4hy6WlUaj/FRnHCiG8Xtlqd0nYT820jHs06KqVSsIUuOh0aOfHl3KX93gY/7KBeWsZsoYizlW22MGk6T2vYIVKX2k1T07qYg3S8MebA3d5dNCG95EV4Mwgbwe2EHDTOd4/iC4CmFpbdDmAN50Z9HUcLkamjue9PQVLa0luR2qWl3Q7+1rEgvjwWEwL7KIwDpb57i3KRFXwJO/ghhNiImOJ34yewttVgwqvQNA3M50ddM1PP0DXCPVJvouSMwG/eGEegOLoItkVv75pZOLUKsa1ujAoiQTk4372Lr3oporqm93Da9/ma4LkB2t/zR43TDzsox1La8qg1+3z5jgm1X5ReumAr4zoEcVy/FKHJDy0QxsMd3hY5HnuiMER4VCYLbooIy8hXb91TU03GQVDvPPZ0Zzxldkwk7fPtPMOJmM3tT94Yc1uIqOMm9OcvspsXbw77IYX4llAv7HCo83pLNK+c/eZ89yG+qtRqa1YFG2ql0o8Xhl9+0Busze4GL40KPzzuvYgRGu2ksRUgHYgtbV9T+Sa94WbEPbJQ5/XGXFhVbPrxICatyjSziM0qH8EZ0Y7YCjzL5hsnKRuLWVuJii8JJvER/aS30ygkQffDnajnJS3E0DNZ++6OPfd57g2rcMxXtU16EcvYi7zhNhZ7E7K3fF1/ivPdp/i6XlTlHzVkPqI1fstLFnkgcKR95I1xpAsqhdMIcL7fBuJrWNdCW/TesPErghkRh0bg/k3LFzO681+TtCTJ6BInKSOTYsZBBIRnB0nZR5c436MtvjreTFNXtXXpWER8Fcryh3X2sa6J6Q4I8MbYIancHgEEON+jLb70Bz10PNoSdnCYTE6Sw26Ka30iIDz3CWDOHud8j7j45owZ5i4niV2WryOGgPA8YoR2KA7nW8S3A1jDus1JGpYPku/+IyA87z/GLuXA+RbxdYkZ5gsniV2WryOGgPA8YoR2KA7nW8S3A1jDus1JGpYPku/+IyA87z/GLuXA+RbxdYkZ5gsniV2WryOGgPA8YoR2KA7nW8S3A1jDus1JGpYPku/+IyA87z/GLuXA+Y6Jr7op/wUDqQNSB6QO7E8doM4gJr50Qz6Hi4Cq+PJv9BEQnkefY15CzreIL0fGoe+cJIfcElcyRkB4zhhQx81xvkV8HSWLk+Soi+JWBggIzxmAmCMTnG8RX0eJ4yQ56qK4lQECwnMGIObIBOdbxNdR4jhJjroobmWAgPCcAYg5MsH5FvF1lDhOkqMuilsZICA8ZwBijkxwvkV8HSWOk+Soi+JWBggIzxmAmCMTnG8RX0eJ4yQ56qK4lQECwnMGIObIBOdbxNdR4jhJjroobmWAgPCcAYg5MsH57lN81aGXz+GplROY9N+Mix6gmR6Z7g7FJLtunkRB3vX6yUnq1cZwnlN1osQOIS1i6bEtNFrkTeSQUtvBiXtVrB6Mv10UO6aeTOb4M788pwWdTiY/gtVqM3jInGjs64aqB6UqqydB0lH6xvnuQ3wJVH4yqWp4l7yTibs656xljoMPC3cgxklHkbt7Blu/FYaT1K+tQT7f2i7h5HgRZyvbaPkniUzhZOkVKP317tPR8btoVM5hthDc1742SpgvTFuOfBpkSQaTV155TouOx7fqSLn4mhPAx09gbUudDE71YPQ553z3Lr7NLazOHMLsyhZYf6Y58QCfwNH1mm5wHYlqY8s7Y+0Yxmxi7vDpwx3L3CEBJ6lDUoduq3PypjFWXEfdH+maa3MlNECNbhmVHUrgHUE/pu97RdmrruBw4T5s1N90qGz740o+eU6JhW6fU+ZvxTDxbdWwUZxAaCZjrk0uVrCT0nwek3G+exRfc4pvYgPZQb36si/KwQiWppITmF18HNXGrhoLYaeyjMlEW0Crvo6jlpGQdz3SSG3Tmct13xeQAIQEwj0aOUnueZfgkQ4XdNHpajNR8bUJdEJ+I3A5lzynwn0X26XTmJw5h0ulczjMR776YNtDmC9dZZaaqK4ciXTc7PaIfOV89yi+BqiDK6judUCFerS5TdSaarSzi8bWBcyPH4DXy6WwZespSURDPphR1sw5VLSw76C2vhAT9jyMrDhJHRB257ZpVJ9ceQKbi0Uz4onGfLm7O6iXljFboDCFumc4HL8Ds3dMpLDB7eXvey557ggzhRG9cKHX3tjIV4eVEsQ31J47ZpS7BJzv/RdfGzxGTL2pZpoeLzo6UkbbXLOFKLgfVvJ5guF/5yQN35uUHmhcD2DMj+UBrcZlnJ05FA9BUdrCAUzOXcDzurNUEyFvShoKMzVfwsbctDXEldIzZ5PlkudOaEbCiCK+AWCc7x7F10wNU/dSaoX7GZRLJZRLjwYr4TrO1+vI1xPfUNwI1ON64Y3JuRU8VXrGhDcCANDT9Jg9P4CvnKQBZNchiz00Sqfa/51nVReuqoWyaNihQ11pbaOyXMTY+GmUt1UYyvZvdEMRbvFsw77ba2r3UXiNRsQ3wJDz3aP4dorTNlE9v+htHdkzjatQxNL6RZRLT6NS+6kOuHsj3062kmK+NvGlQu6gXnka5YsrOrwxFprWAiK+hFPGn7pTi04njXCP80W2cL5e7D76HE9D4n8K5UanOBd/zv3vvDG6720KDxO2Capyqv96sGStJ2lmwCnydzwJ57tH8QUQmVqEyqxjf15M94Ztsczc91e429mC6UljjdcWdgh54f2gaSxbTYeEHSxAZXFJxWvviIQHzKhVL3CaeG5ksTO0oKrrRsLoOfJcFh4P2wZvjMP2Zb/yj418TZsM72zw2nP42n55NDy7nO/exVdN8atreo/m/Mol1PViGt/naxa9TGOaXb7sbaBu1lCmxRhfEClcwHdBqHhhFWX9Aodtn69lOmu2tgQxxMAu3/bmVYbILonh8WHNmZNkTeDkRdp3vYCNmrdhyIv5Tpt9vlRnGJ8UdvDj9PFpa9iGkwXv2al88txdcWPiS4vl41RPZJ+vnhZ0B6sS2wo2SEz11CL8ogTf3aAqmgoBLK0/7r2IERnNBmJLW9KUrSdRqdt3/tm2mrUaW2yl3eQXesOKj8S6K+0gU+e3UUbeYFN8l2psq1/0Pn9JxyDcaqD62CJm6a1J21twgyRjH/PKL8/pQYmLr5o5s0EY6UKonaa3n6eUnO8+Rr4OFFlesnCABHGhHwR4Y+zHjjybDwQ43/kWXwp9REbQyTSYxT1/ipuccth3OEnD9kXy3z8EhOf9w9ZFy5zvnIuvglf+sI6LlUx8SocAb4zpnpBUeUaA8z0C4ptnKpJ95yQlp5I7eUdAeM47g935z/kW8e0Ou4Gl5iQNLFPJaOAICM8Dh3yoGXK+RXyHSkVy5pyk5FRyJ+8ICM95Z7A7/znfIr7dYTew1JykgWUqGQ0cAeF54JAPNUPOt4jvUKlIzpyTlJxK7uQdAeE57wx25z/nW8S3O+wGlpqTNLBMJaOBIyA8DxzyoWbI+RbxHSoVyZlzkpJTyZ28IyA8553B7vznfMfEV92U/4KB1AGpA1IH9qcOkFzHxJduyOdwEVAVX/6NPgLC8+hzzEvI+Rbx5cg49J2T5JBb4krGCAjPGQPquDnOt4ivo2Rxkhx1UdzKAAHhOQMQc2SC8y3i6yhxnCRHXRS3MkBAeM4AxByZ4HyL+DpKHCfJURfFrQwQEJ4zADFHJjjfIr6OEsdJctRFcSsDBITnDEDMkQnOt4ivo8Rxkhx1UdzKAAHhOQMQc2SC8y3i6yhxnCRHXRS3MkBAeM4AxByZ4HyL+DpKHCfJURfFrQwQEJ4zADFHJjjffYqvOkDzOTylTximt0GiB2gSMurgxJJ3cCa9RacORrz4nDn5mNKl+NRHzR/HavVGisRdnHSRwtqgknCSBpVnJvlEDr+cnFvDs6EDUKMHaBaxFD04saONuKfeIY1UB+nzCFarzXhih67kk+cd1C+vYX6ccLYcgkoYm9OpD69UsUfXop+6PU+gbZroMzn9zfnuQ3zpGHAOPD86fg1VfZy8QmkHtfUFTCqxLVW9I+TBxLirM9W8o8UnFyuwn2lsYUUfX8+OK7ckce0SJ8k135L92cV26TQm6UhwOhZ+/DTK27sAnblXKOJsZRstZUinOYbZlS1zwnEnG7bc99AoncJY6rP8bDaGcy1/PJtzENmp1K3GZZydmcDkQgnbmlSDZauB58+fwGThQLKw6kNwp/SfNBDxTVsHdW91iDWa4MHWdgknxydwdL2Glt/gEsSvjZ3AYvDNs30fNupvBhc7fvOOi49Vjo7PDS9B/hqlEtIaNooTCHWMjRLmC4cwX7oK4Boqi9MYK66jzhqpHrWScHa0YeOkierKkZhdW0rXruWP56sozx3C2FwJDR9MEmRqlzQIO4L5lUewNJM0qjUdrZkJi/j6gLb7EgU7mnYH9erLZiRjb3DBE54wphu1mLSRxttqXMHanNd7jhWmMP/Vcw/otk0AAATqSURBVJgfpwbv5dSqr+NogSpHkLur3/LXKBOQDImvreEC0GnahAhCNiz52ATbkszFS6PBc1QP1EzkDObXX0ITHuc2YfUGUkWcvXQRXzvYZnTsInE9+sT57jHsYEYaB1dQTQzkGO/2qljtAKwnjG0aHxXUNLIQkSZeNDm3iVqzhUCIw+IL7QeNxsmgu5+cJHe97OBZs4byYhFjM+dQaaiwg60jpoY7jaXKtbjBmI14Euiw0gFMzhzBnbSeMLOIzWrDC21YHnHl0kjwTLzS7CUEboL4Nl/Cxty0N3NOoREhkzn+wfkekPh2EL1OIxsCO5aOGm54ROuJeUR8TQ8cni6RYfc+OUnuedfJIxOD1UI4hfnzV0ycn9YJgphvYmeJJBvxvD2+J1gIrIVmbRPz4wmhrriJoV3JN88KNuJ0CidLr1g6O5v4eus2Y7TWI+ILHfROVwvN9H/QI9/Y9DRhBK5HQlHxzVdc0K1GyYWQVrgjnwl1Ib4Ys4vG1oVgpXxmGeXKo5gvJM984jZS1NKchCLc4jkFrpEkXuhgyoQYIjf1z6j4klizjlHEtxvxtY84A+ibqJ5fNDsbbFPNICXQRcxXxJcDl5Pvht/CKZQbthhVp7qkitnJhg0Kr9G7PtPJr/iqRbUSlmYOYXb5spnZJPMQhArNIIjCQ9HPhE7cZjmP1zjfPYYdALTbpUAxOL0dzNLTcdQoZktbx2h7kiJl/ATWtljcTsIOHDn3vmveoyEm3rn+L+rr90W2hJn7NAXtaINtk9AIJIi3HvkeMjtu3IOKPOKNka65/7mDemkZs2px2w8pJXkdHfla0snIt5uRrwKQRDVpny8tsqi0Zp+v2hvob6i37fP1GtJhvV/Q2Oc7G1IsuEEH8tXOh0jYQRMcFQZLRXDkUj4bZSSWp2qJ3gMabEn04rM0TQ22JAXxws42YhTFBgK7aFTOYdbfXxx7wpkL+eOZtofxGHs7OEV8OTqc795HvtqiajwVbKgVbX/6kN0bbrqhcvGl6WfommrgfKtZEUsrZzAbEV+v0YcX5jgorn3nJLnmW1t/Im+nqdnL6uW62XaonozEfGP3tWKj+tgiZqlORdPoGVB4a1KrsYVNVg/jb9a19XpoN3PHs5nVBu2dx/4jAx6Nqogvr1yc7z7Fl5vN+LsOP5wK3oQy5tO8ZOEJLd+65E1t5SWLjDkSc30jwBtj38bEgPMIcL4dFV8VpvgsTupN2lE8+evFFO8Lti7B3xfKXm/WvTVbXY2adPA3J8lB98SljBAQnjMCMidmON/uia+O2R5ps3WFFvvMH9aJTnMLE5hdfBxVvalfMaLE+jjbA5oPljhJ+fBYvOwFAeG5F9Ty+wzn2zHxpS1FLI404ltPkqoRJykpjVzPPwLCc/457KYEnG/HxLebYox2Wk7SaJf07V064fntxT/nW8TXUe45SY66KG5lgIDwnAGIOTLB+RbxdZQ4TpKjLopbGSAgPGcAYo5McL5FfB0ljpPkqIviVgYICM8ZgJgjE5xvEV9HieMkOeqiuJUBAsJzBiDmyATnW8TXUeI4SY66KG5lgIDwnAGIOTLB+Y6Jr7op/wUDqQNSB6QO7E8doL4iJL50UT4FAUFAEBAE9hcBEd/9xVesCwKCgCBgRUDE1wqLXBQEBAFBYH8REPHdX3zFuiAgCAgCVgT+H3+QJ7fI+bbWAAAAAElFTkSuQmCC\"/></p>\n</div><div class=\"specification\">\n<p>The second step of the lime cycle produces calcium hydroxide, Ca(OH)<sub>2</sub>.</p>\n</div><div class=\"specification\">\n<p>Calcium hydroxide reacts with carbon dioxide to reform calcium carbonate.</p>\n<p style=\"text-align: center;\">Ca(OH)<sub>2 </sub>(aq) + CO<sub>2 </sub>(g) → CaCO<sub>3</sub> (s) + H<sub>2</sub>O (l)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calcium carbonate is heated to produce calcium oxide, CaO.</p>\n<p style=\"text-align:center;\">CaCO<sub>3 </sub>(s) → CaO (s) + CO<sub>2 </sub>(g)</p>\n<p>Calculate the volume of carbon dioxide produced at STP when 555 g of calcium carbonate decomposes. Use sections 2 and 6 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of reaction, <em>ΔH</em>, in kJ, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the change in entropy, Δ<em>S</em>, in J K<sup>−1</sup>, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the temperature, in K, at which the decomposition of calcium carbonate becomes spontaneous, using b(i), b(ii) and section 1 of the data booklet.</p>\n<p>(If you do not have answers for b(i) and b(ii), use Δ<em>H</em> = 190 kJ and Δ<em>S</em> = 180 J K<sup>−1</sup>, but these are not the correct answers.)</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch an energy profile for the decomposition of calcium carbonate based on your answer to b(i), labelling the axes and activation energy, <em>E</em><sub>a</sub>.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how adding a catalyst to the reaction would impact the enthalpy change of reaction, Δ<em>H</em>, and the activation energy, <em>E</em><sub>a</sub>.</p>\n<p><img height=\"174\" src=\"data:image/png;base64,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\" width=\"679\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction of Ca(OH)<sub>2 </sub>(aq) with hydrochloric acid, HCl (aq).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the volume, in dm<sup>3</sup>, of 0.015 mol dm<sup>−3</sup> calcium hydroxide solution needed to neutralize 35.0 cm<sup>3</sup> of 0.025 mol dm<sup>−3</sup> HCl (aq).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated calcium hydroxide solution is used to test for carbon dioxide. Calculate the pH of a 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> solution of calcium hydroxide, a strong base.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the mass, in g, of CaCO<sub>3 </sub>(s) produced by reacting 2.41 dm<sup>3</sup> of 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> of Ca(OH)<sub>2</sub> (aq) with 0.750 dm<sup>3</sup> of CO<sub>2</sub> (g) at STP.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>2.85 g of CaCO<sub>3</sub> was collected in the experiment in d(i). Calculate the percentage yield of CaCO<sub>3</sub>.</p>\n<p>(If you did not obtain an answer to d(i), use 4.00 g, but this is not the correct value.)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how <strong>one</strong> calcium compound in the lime cycle can reduce a problem caused by acid deposition.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>CaCO3</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>555</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>11</mn><mo>.</mo><mn>09</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 5.55 «mol» ✓</p>\n<p>«<em>V</em> = 5.55 mol × 22.7 dm<sup>3</sup> mol<sup>−1</sup> =» 126 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept method using pV = nRT to obtain the volume with p as either 100 kPa (126 dm<sup>3</sup>) or 101.3 kPa (125 dm<sup>3</sup>).</em></p>\n<p><em>Do not penalize use of 22.4 dm<sup>3</sup> mol<sup>–1</sup> to obtain the volume (124 dm<sup>3</sup>).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>ΔH</em> =» (−635 «kJ» – 393.5 «kJ») – (−1207 «kJ») ✓</p>\n<p>«<em>ΔH</em> = + » 179 «kJ» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award<strong> [1 max]</strong> for −179 kJ.</em></p>\n<p><em>Ignore an extra step to determine total enthalpy change in kJ: 179 kJ mol<sup>-1</sup> x 5.55 mol = 993 kJ.</em></p>\n<p><em>Award <strong>[2]</strong> for an answer in the range 990 - 993« kJ».</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<em>S</em> = (40 J K<sup>−1</sup> + 214 J K<sup>−1</sup>) − (93 J K<sup>−1</sup>) =» 161 «J K<sup>−1</sup>» ✓</p>\n<p><em><br/>Ignore an extra step to determine total entropy change in JK<sup>–1</sup>: 161 J mol<sup>–1</sup>K<sup>–1</sup> x 5.55 mol = 894 «J mol<sup>–1</sup>K<sup>–1</sup>»</em></p>\n<p><em>Award <strong>[1]</strong> for 894 «J mol<sup>–1</sup>K<sup>–1</sup>».</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«spontaneous» if Δ<em>G</em> = Δ<em>H</em> − <em>T</em>Δ<em>S</em> &lt; 0<br/><em><strong>OR</strong></em><br/>Δ<em>H</em> &lt; <em>T</em>Δ<em>S</em> ✓</p>\n<p>«<em>T</em> &gt;<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>179</mn><mo> </mo><mi>kJ</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>16</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi mathvariant=\"normal\">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 1112 «K» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept “1056 K” if both of the incorrect values are used to solve the problem.</em></p>\n<p><em>Do <strong>not</strong> award M2 for any negative T value.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>endothermic sketch ✓</p>\n<p>x-axis labelled “extent of reaction/progress of reaction/reaction coordinate/reaction pathway” <em><strong>AND</strong> </em>y-axis labelled “potential energy/energy/enthalpy✓</p>\n<p>activation energy/<em>E</em><sub>a</sub> ✓</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><br/>Do <strong>not</strong> accept “time” for x-axis.</em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<em>H</em> same <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✓</p>\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Ca(OH)<sub>2 </sub>(aq) + 2HCl (aq) → 2H<sub>2</sub>O (l) + CaCl<sub>2 </sub>(aq) ✓</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>HCl</sub> = 0.0350 dm<sup>3</sup> × 0.025 mol dm<sup>−3</sup> =» 0.00088 «mol»</p>\n<p><em><strong>OR</strong></em><br/><em>n</em><sub>Ca(OH)2</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> <em>n</em><sub>HCl</sub>/0.00044 «mol» ✓</p>\n<p><br/>«<em>V</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mstyle displaystyle=\"true\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>00088</mn><mo> </mo><mi>mol</mi></mstyle><mrow><mn>0</mn><mo>.</mo><mn>015</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> =» 0.029 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.058 «dm<sup>3</sup>».</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1:</strong></em></p>\n<p>[OH<sup>−</sup>] = « 2 × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«[H<sup>+</sup>] = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>0466</mn></mrow></mfrac></math> = 2.15 × 10<sup>−13 </sup>mol dm<sup>−3</sup>»</p>\n<p>pH = « −log (2.15 × 10−13) =» 12.668 ✓</p>\n<p> </p>\n<p><em><strong>Alternative 2:</strong></em></p>\n<p>[OH<sup>−</sup>] =« 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«pOH = −log (0.0466) = 1.332»</p>\n<p>pH = «14.000 – pOH = 14.000 – 1.332 =» 12.668 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for pH =12.367.</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>Ca(OH)2</sub> = 2.41 dm<sup>3</sup> × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0562 «mol» <em><strong>AND</strong></em></p>\n<p>«<em>n</em><sub>CO2</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>750</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow><mrow><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math>=» 0.0330 «mol» ✓</p>\n<p>«CO<sub>2</sub> is the limiting reactant»</p>\n<p>«<em>m</em><sub>CaCO3</sub> = 0.0330 mol × 100.09 g mol<sup>−1</sup> =» 3.30 «g» ✓</p>\n<p> </p>\n<p><em>Only award ECF for M2 if limiting reagent is used.</em></p>\n<p><em>Accept answers in the range 3.30 - 3.35 «g».</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>85</mn></mrow><mrow><mn>3</mn><mo>.</mo><mn>30</mn></mrow></mfrac></math> × 100 =» 86.4 «%» ✓</p>\n<p> </p>\n<p><em>Accept answers in the range 86.1-86.4 «%».</em></p>\n<p><em>Accept “71.3 %” for using the incorrect given value of 4.00 g.</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«add» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO <em><strong>AND</strong> </em>to «acidic» water/river/lake/soil<br/><em><strong>OR</strong></em><br/>«use» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO in scrubbers «to prevent release of acidic pollution» ✓</p>\n<p> </p>\n<p><em>Accept any correct name for any of the calcium compounds listed.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-1-5-ideal-gases",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p>Bromate and bromide ions react in acidic aqueous solution.</p>\n<p style=\"text-align: center;\">BrO<sub>3</sub><sup>− </sup>(aq) + 5Br<sup>− </sup>(aq) + 6H<sup>+ </sup>(aq) → 3Br<sub>2 </sub>(l) + 3H<sub>2</sub>O (l)</p>\n<p>The following rate data was collected.</p>\n<p><img height=\"169\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"479\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the rate expression for the reaction.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the value and unit of the rate constant using the rate expression in (a).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>BrO<sub>3</sub><sup>–</sup>:</em> 1/first <em><strong>AND</strong> Br<sup>–</sup>:</em> 1/first <em><strong>AND</strong> H<sup>+</sup>:</em> 2/second ✓</p>\n<p>«Rate =» <em>k</em>[BrO<sub>3</sub><sup>−</sup>][Br<sup>−</sup>][H<sup>+</sup>]<sup>2</sup> ✓</p>\n<p><em><br/>M2: Square brackets required for the mark.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>k</em> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><msup><mfenced><mrow><mn>0</mn><mo>.</mo><mn>10</mn></mrow></mfenced><mn>2</mn></msup></mrow></mfrac></math>=» 8.0 ✓</p>\n<p>mol<sup>−3</sup> dm<sup>9 </sup>s<sup>−1</sup> ✓</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.7",
+    "Question": "<div class=\"specification\">\n<p>Consider the following equilibrium reaction:</p>\n<p style=\"text-align: center;\">2SO<sub>2</sub> (g) + O<sub>2</sub> (g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3</sub> (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for the reaction above.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>SO<sub>2</sub> (g), O<sub>2 </sub>(g) and SO<sub>3 </sub>(g) are mixed and allowed to reach equilibrium at 600 °C.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>Determine the value of <em>K</em><sub>c</sub> at 600 °C.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><msub><mi>SO</mi><mn>3</mn></msub></mfenced><mn>2</mn></msup><mrow><msup><mfenced close=\"]\" open=\"[\"><msub><mi>SO</mi><mn>2</mn></msub></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">O</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> »  ✓</p>\n<p><em><br/>Square brackets required for the mark.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>pressure decrease «due to larger volume» ✓</p>\n<p>reaction shifts to side with more moles/molecules «of gas» ✓</p>\n<p>reaction shifts left/towards reactants ✓</p>\n<p><em><br/>Award M3 only if M1 <strong>OR</strong> M2 awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>[O<sub>2</sub>] = 1.25 «mol dm<sup>−3</sup>» <em><strong>AND</strong> </em>[SO<sub>3</sub>] = 3.50 «mol dm<sup>−3</sup>» ✓</p>\n<p>«<em>K</em><sub>c</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><mrow><mn>3</mn><mo>.</mo><mn>50</mn></mrow></mfenced><mn>2</mn></msup><mrow><msup><mfenced close=\"]\" open=\"[\"><mrow><mn>1</mn><mo>.</mo><mn>50</mn></mrow></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><mrow><mn>1</mn><mo>.</mo><mn>25</mn></mrow></mfenced></mrow></mfrac></math>=» 4.36 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Iron may be extracted from iron (II) sulfide, FeS.</p>\n</div><div class=\"specification\">\n<p>Iron (II) sulfide, FeS, is ionically bonded.</p>\n</div><div class=\"specification\">\n<p>The first step in the extraction of iron from iron (II) sulfide is to roast it in air to form iron (III) oxide and sulfur dioxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why metals, like iron, can conduct electricity.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why sulfur is classified as a non-metal by giving <strong>two</strong> of its chemical properties.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in this type of solid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electron configuration of the sulfide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, in terms of their electronic structures, why the ionic radius of the sulfide ion is greater than that of the oxide ion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why chemists find it convenient to classify bonding into ionic, covalent and metallic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the change in the oxidation state of sulfur.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why this process might raise environmental concerns.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the addition of small amounts of carbon to iron makes the metal harder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>mobile/delocalized «sea of» electrons</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>forms acidic oxides «rather than basic oxides» ✔</p>\n<p>forms covalent/bonds compounds «with other non-metals» ✔</p>\n<p>forms anions «rather than cations» ✔</p>\n<p>behaves as an oxidizing agent «rather than a reducing agent» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for 2 correct non-chemical properties such as non-conductor, high ionisation energy, high electronegativity, low electron affinity if no marks for chemical properties are awarded.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✔</p>\n<p>between oppositely charged ions/between Fe<sup>2+</sup> and S<sup>2−</sup> ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “[Ne] 3s<sup>2</sup> 3p<sup>6</sup>”.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«valence» electrons further from nucleus/extra electron shell/ electrons in third/3s/3p level «not second/2s/2p»✔</p>\n<p><em><br/>Accept 2,8 (for O<sup>2–</sup>) and 2,8,8 (for S<sup>2–</sup>)</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>allows them to explain the properties of different compounds/substances<br/><em><strong>OR</strong></em><br/>enables them to generalise about substances<br/><em><strong>OR</strong></em><br/>enables them to make predictions ✔</p>\n<p><em><br/>Accept other valid answers.</em></p>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>4FeS(s) + 7O<sub>2</sub>(g) → 2Fe<sub>2</sub>O<sub>3</sub>(s) + 4SO<sub>2</sub>(g) ✔</p>\n<p><em><br/>Accept any correct ratio.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>+6<br/><em><strong>OR</strong></em><br/>−2 to +4 ✔</p>\n<p><em>Accept “6/VI”.</em><br/><em>Accept “−II, 4//IV”.</em><br/>Do <strong>not</strong> accept 2− to 4+.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfur dioxide/SO<sub>2</sub> causes acid rain ✔</p>\n<p><em>Accept sulfur dioxide/SO<sub>2</sub>/dust causes respiratory problems</em><br/><em>Do <strong>not</strong> accept just “causes respiratory problems” or “causes acid rain”.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>disrupts the regular arrangement «of iron atoms/ions»<br/><em><strong>OR</strong></em><br/>carbon different size «to iron atoms/ions» ✔</p>\n<p>prevents layers/atoms sliding over each other ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-3-electron-configurations",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "structure-2-3-the-metallic-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>Iron (II) sulfide reacts with hydrochloric acid to form hydrogen sulfide, H<sub>2</sub>S.</p>\n</div><div class=\"specification\">\n<p>In aqueous solution, hydrogen sulfide acts as an acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis (electron dot) structure of hydrogen sulfide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict the shape of the hydrogen sulfide molecule.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the formula of its conjugate base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated aqueous hydrogen sulfide has a concentration of 0.10 mol dm<sup>−3</sup> and a pH of 4.0. Demonstrate whether it is a strong or weak acid.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the hydroxide ion concentration in saturated aqueous hydrogen sulfide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A gaseous sample of nitrogen, contaminated only with hydrogen sulfide, was reacted with excess sodium hydroxide solution at constant temperature. The volume of the gas changed from 550 cm<sup>3</sup> to 525 cm<sup>3</sup>.</p>\n<p>Determine the mole percentage of hydrogen sulfide in the sample, stating one assumption you made.</p>\n<p><img height=\"303\" src=\"data:image/png;base64,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\" width=\"705\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"55\" src=\"data:image/png;base64,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\" width=\"83\"/> <em><strong>OR  <img height=\"50\" src=\"data:image/png;base64,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\" width=\"125\"/>✔</strong></em></p>\n<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bent/non-linear/angular/v-shaped✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HS<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>weak <em><strong>AND</strong> </em>strong acid of this concentration/[H<sup>+</sup>] = 0.1 mol dm<sup>−3</sup> would have pH = 1<br/><em><strong>OR</strong></em><br/>weak <em><strong>AND</strong> </em>[H<sup>+</sup>] = 10<sup>−4</sup> &lt; 0.1 «therefore only fraction of acid dissociated» ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>10<sup>−10</sup> «mol dm<sup>−3</sup>» ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Mole percentage H<sub>2</sub>S:</em><br/>volume of H<sub>2</sub>S = «550 − 525 = » 25 «cm<sup>3</sup>» ✔<br/>mol % H<sub>2</sub>S = «<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>25</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mrow><mn>550</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow></mfrac><mo>×</mo><mn>100</mn></math> = » 4.5 «%» ✔</p>\n<p><em>Award [2] for correct final answer of 4.5 «%»</em></p>\n<p> </p>\n<p><em>Assumption:</em><br/>«both» gases behave as ideal gases ✔<br/><br/><em>Accept “volume of gas <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">α</mi></math> mol of gas”.</em><br/><em>Accept “reaction goes to completion”.</em><br/><em>Accept “nitrogen is insoluble/does not </em><em>react with NaOH/only H<sub>2</sub>S reacts with </em><em>NaOH”.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-1-5-ideal-gases",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>Magnetite, Fe<sub>3</sub>O<sub>4</sub>, is another ore of iron that contains both Fe<sup>2+</sup> and Fe<sup>3+</sup>.</p>\n</div><div class=\"specification\">\n<p>Iron exists as several isotopes.</p>\n</div><div class=\"specification\">\n<p>In acidic solution, hydrogen peroxide, H<sub>2</sub>O<sub>2</sub>, will oxidize Fe<sup>2+</sup>.</p>\n<p style=\"text-align: center;\">Fe<sup>2+</sup> (aq) → Fe<sup>3+</sup> (aq) + e<sup>−</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the ratio of Fe<sup>2+</sup>:Fe<sup>3+</sup> in Fe<sub>3</sub>O<sub>4</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of spectroscopy that could be used to determine their relative abundances.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of protons, neutrons and electrons in each species.</p>\n<p><img height=\"151\" src=\"data:image/png;base64,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\" width=\"502\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Iron has a relatively small specific heat capacity; the temperature of a 50 g sample rises by 44.4°C when it absorbs 1 kJ of heat energy.</p>\n<p>Determine the specific heat capacity of iron, in J g<sup>−1 </sup>K<sup>−1</sup>. Use section 1 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the half-equation for the reduction of hydrogen peroxide to water in acidic solution.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce a balanced equation for the oxidation of Fe2+ by acidified hydrogen peroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>1:2 ✔</p>\n<p><em>Accept 2 Fe<sup>3+</sup>: 1 Fe<sup>2+</sup></em><br/><em>Do <strong>not</strong> accept 2:1 only</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mass «spectroscopy»/MS ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"88\" src=\"data:image/png;base64,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\" width=\"515\"/></p>\n<p><em>Award <strong>[1 max]</strong> for 4 correct values.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>specific heat capacity « = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>q</mi><mrow><mi>m</mi><mo>×</mo><mo>∆</mo><mi>T</mi></mrow></mfrac><mo>/</mo><mfrac><mrow><mn>1000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow><mrow><mn>50</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>×</mo><mn>44</mn><mo> </mo><mi mathvariant=\"normal\">K</mi></mrow></mfrac></math>» = 0.45 «J g<sup>−1 </sup>K<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O<sub>2</sub>(aq) + 2H<sup>+</sup>(aq) + 2e<sup>−</sup>→ 2H<sub>2</sub>O(l) ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O<sub>2</sub>(aq) + 2H<sup>+</sup>(aq) + 2Fe<sup>2+</sup>(aq) → 2H<sub>2</sub>O(l) + 2Fe<sup>3+</sup>(aq) ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-1-measuring-enthalpy-changes",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>Ethanol is obtained by the hydration of ethene, C<sub>2</sub>H<sub>4</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the class of compound to which ethene belongs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the molecular formula of the next member of the homologous series to which ethene belongs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify why ethene has only a single signal in its <sup>1</sup>H NMR spectrum.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> possible products of the incomplete combustion of ethene that would not be formed by complete combustion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A white solid was formed when ethene was subjected to high pressure.</p>\n<p>Deduce the type of reaction that occurred.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>alkene ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>C<sub>3</sub>H<sub>6</sub> ✔</p>\n<p><em>Accept structural formula.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>hydrogen atoms/protons in same chemical environment ✔</p>\n<p><em>Accept “all H atoms/protons are equivalent”.</em><br/><em>Accept “symmetrical”</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>carbon monoxide/CO <em><strong>AND</strong> </em>carbon/C/soot ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«addition» polymerization ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-1-3-energy-from-fuels",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>When dinitrogen pentoxide, N<sub>2</sub>O<sub>5</sub>, is heated the colourless gas undergoes thermal decomposition to produce brown nitrogen dioxide:</p>\n<p style=\"text-align: center;\">N<sub>2</sub>O<sub>5 </sub>(g) → 2NO<sub>2 </sub>(g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>O<sub>2 </sub>(g)</p>\n</div><div class=\"specification\">\n<p>Data for the decomposition at constant temperature is given.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest how the extent of decomposition could be measured.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Plot the missing point on the graph and draw the best-fit line.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the relationship between the concentration of N<sub>2</sub>O<sub>5</sub> and the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why increasing the concentration of N<sub>2</sub>O<sub>5</sub> increases the rate of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>use colorimeter<br/><em><strong>OR</strong></em><br/>change in colour<br/><em><strong>OR</strong></em><br/>change in volume<br/><em><strong>OR</strong></em><br/>change in pressure ✔</p>\n<p><em>Accept suitable instruments, e.g. pressure probe/oxygen sensor.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p>point correct ✔</p>\n<p>straight line passing close to all points <em><strong>AND</strong> </em>through origin ✔</p>\n<p><em><br/>Accept free hand drawn line as long as attempt to be linear and meets criteria for M2.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>« rate of reaction is directly» proportional to/∝[N<sub>2</sub>O<sub>5</sub>]<br/><em><strong>OR</strong></em><br/>doubling concentration doubles rate ✔</p>\n<p><em><br/>Do <strong>not</strong> accept “rate increases as concentration increases”/ positive correlation</em></p>\n<p><em>Accept linear</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>greater frequency of collisions «as concentration increases»<br/><em><strong>OR</strong></em><br/>more collisions per unit time «as concentration increases» ✔</p>\n<p><em><br/>Accept “rate/chance/probability/likelihood” instead of “frequency”.</em></p>\n<p><em>Do <strong>not</strong> accept just “more collisions”.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>Limestone can be converted into a variety of useful commercial products through the lime cycle. Limestone contains high percentages of calcium carbonate, CaCO<sub>3</sub>.</p>\n<p><img height=\"218\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"538\"/></p>\n</div><div class=\"specification\">\n<p>The second step of the lime cycle produces calcium hydroxide, Ca(OH)<sub>2</sub>.</p>\n</div><div class=\"specification\">\n<p>Calcium hydroxide reacts with carbon dioxide to reform calcium carbonate.</p>\n<p style=\"text-align: center;\">Ca(OH)<sub>2 </sub>(aq) + CO<sub>2 </sub>(g) → CaCO<sub>3</sub> (s) + H<sub>2</sub>O (l)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calcium carbonate is heated to produce calcium oxide, CaO.</p>\n<p style=\"text-align:center;\">CaCO<sub>3 </sub>(s) → CaO (s) + CO<sub>2 </sub>(g)</p>\n<p>Calculate the volume of carbon dioxide produced at STP when 555 g of calcium carbonate decomposes. Use sections 2 and 6 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Thermodynamic data for the decomposition of calcium carbonate is given.</p>\n<p><img height=\"119\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"205\"/></p>\n<p>Calculate the enthalpy change of reaction, <em>ΔH</em>, in kJ, for the decomposition of calcium carbonate.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The potential energy profile for a reaction is shown. Sketch a dotted line labelled “Catalysed” to indicate the effect of a catalyst.</p>\n<p><img height=\"317\" 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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"454\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why a catalyst has such an effect.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction of Ca(OH)<sub>2</sub> (aq) with hydrochloric acid, HCl (aq).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the volume, in dm<sup>3</sup>, of 0.015 mol dm<sup>−3</sup> calcium hydroxide solution needed to neutralize 35.0 cm<sup>3</sup> of 0.025 mol dm<sup>−3</sup> HCl (aq).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Saturated calcium hydroxide solution is used to test for carbon dioxide. Calculate the pH of a 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> solution of calcium hydroxide, a strong base.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the mass, in g, of CaCO<sub>3 </sub>(s) produced by reacting 2.41 dm<sup>3</sup> of 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> of Ca(OH)<sub>2</sub> (aq) with 0.750 dm<sup>3</sup> of CO<sub>2</sub> (g) at STP.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>2.85 g of CaCO<sub>3</sub> was collected in the experiment in e(i). Calculate the percentage yield of CaCO<sub>3</sub>.</p>\n<p>(If you did not obtain an answer to e(i), use 4.00 g, but this is not the correct value.)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how <strong>one</strong> calcium compound in the lime cycle can reduce a problem caused by acid deposition.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>CaCO3</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>555</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>11</mn><mo>.</mo><mn>09</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></math>=» 5.55 «mol» ✓</p>\n<p>«<em>V</em> = 5.55 mol × 22.7 dm<sup>3</sup> mol<sup>−1</sup> =» 126 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept method using pV = nRT to obtain the volume with p as either 100 kPa (126 dm<sup>3</sup>) or 101.3 kPa (125 dm<sup>3</sup>).</em></p>\n<p><em>Do not penalize use of 22.4 dm<sup>3</sup> mol<sup>–1</sup> to obtain the volume (124 dm<sup>3</sup>).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>ΔH</em> =» (−635 «kJ» – 393.5 «kJ») – (−1207 «kJ») ✓</p>\n<p>«<em>ΔH</em> = + » 179 «kJ» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award<strong> [1 max]</strong> for −179 kJ.</em></p>\n<p><em>Ignore an extra step to determine total enthalpy change in kJ: 179 kJ mol<sup>−1</sup> x 5.55 mol = 993 kJ.</em></p>\n<p><em>Award <strong>[2]</strong> for an answer in the range 990 - 993« kJ».</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>lower activation energy curve between same reactant and product levels ✓</p>\n<p><em><br/>Accept curve with or without an intermediate.</em></p>\n<p><em>Accept a horizontal straight line below current line with the activation energy with catalyst/E<sub>cat</sub> clearly labelled.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>provides an alternative «reaction» pathway/mechanism ✓</p>\n<p><em><br/>Do <strong>not</strong> accept “lower activation energy” only.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Ca(OH)<sub>2</sub> (aq) + 2HCl (aq) → 2H<sub>2</sub>O (l) + CaCl<sub>2</sub> (aq) ✓</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>HCl</sub> = 0.0350 dm<sup>3</sup> × 0.025 mol dm<sup>−3</sup> =» 0.00088 «mol»<br/><em><strong>OR</strong></em><br/><em>n</em><sub>Ca(OH)2</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> <em>n</em><sub>HCl</sub>/0.00044 «mol» ✓</p>\n<p>«<em>V</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mstyle displaystyle=\"true\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>00088</mn><mo> </mo><mi>mol</mi></mstyle><mrow><mn>0</mn><mo>.</mo><mn>015</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> =» 0.029 «dm<sup>3</sup>» ✓</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.058 «dm<sup>3</sup>».</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1:</strong></em></p>\n<p>[OH<sup>−</sup>] = « 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«[H<sup>+</sup>] = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>0466</mn></mrow></mfrac></math> = 2.15 × 10<sup>−13</sup> mol dm<sup>−3</sup>»<br/>pH = « −log(2.15 × 10<sup>−13</sup>) =» 12.668 ✓</p>\n<p> </p>\n<p><em><strong>Alternative 2:</strong></em></p>\n<p>[OH<sup>−</sup>] =« 2 × 2.33 × 10<sup>−2</sup> mol dm<sup>−3</sup> =» 0.0466 «mol dm<sup>−3</sup>» ✓</p>\n<p>«pOH = −log (0.0466) = 1.332»</p>\n<p>pH = «14.000 – pOH = 14.000 – 1.332 =» 12.668 ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[1 max]</strong> for pH =12.367.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>n</em><sub>Ca(OH)2</sub> = 2.41 dm<sup>3</sup> × 2.33 × 10<sup>−2 </sup>mol dm<sup>−3</sup> =» 0.0562 «mol» <em><strong>AND</strong></em><br/>«<em>n</em><sub>CO2</sub> =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>750</mn><mo> </mo><msup><mi>dm</mi><mn>3</mn></msup></mrow><mrow><mn>22</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math>=» 0.0330 «mol» ✓</p>\n<p>«CO<sub>2</sub> is the limiting reactant»</p>\n<p>«<em>m</em><sub>CaCO3</sub> = 0.0330 mol × 100.09 g mol<sup>−1</sup> =» 3.30 «g» ✓</p>\n<p><em><br/>Only award ECF for M2 if limiting reagent is used.</em></p>\n<p><em>Accept answers in the range 3.30 - 3.35 «g».</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>85</mn></mrow><mrow><mn>3</mn><mo>.</mo><mn>30</mn></mrow></mfrac></math> × 100 =» 86.4 «%» ✓</p>\n<p><em><br/>Accept answers in the range 86.1-86.4 «%».</em></p>\n<p><em>Accept “71.3 %” for using the incorrect given value of 4.00 g.</em></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«add» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO <em><strong>AND</strong> </em>to «acidic» water/river/lake/soil<br/><em><strong>OR</strong></em><br/>«use» Ca(OH)<sub>2</sub>/CaCO<sub>3</sub>/CaO in scrubbers «to prevent release of acidic pollution» ✓</p>\n<p><em><br/>Accept any correct name for any of the calcium compounds listed.</em></p>\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">f.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "structure-1-5-ideal-gases",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>The properties of elements can be predicted from their position in the periodic table.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why Si has a smaller atomic radius than Al.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the decrease in radius from Na to Na<sup>+</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the condensed electron configurations for Cr and Cr3<sup>+</sup>.</p>\n<p><img height=\"190\" src=\"data:image/png;base64,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\" width=\"768\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe metallic bonding and how it contributes to electrical conductivity.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the Lewis (electron dot) structure and molecular geometry of sulfur dichloride, SCl<sub>2</sub>.</p>\n<p><img height=\"216\" 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\" width=\"433\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest, giving reasons, the relative volatilities of SCl<sub>2</sub> and H<sub>2</sub>O.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Consider the following equilibrium reaction:</p>\n<p style=\"text-align:center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)</p>\n<p>State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>nuclear charge/number of protons/Z/Z<sub>eff</sub> increases «causing a stronger pull on the outer electrons» ✓</p>\n<p>same number of shells/«outer» energy level/shielding ✓</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Na<sup>+</sup> has one less energy level/shell<br/><em><strong>OR</strong></em><br/>Na<sup>+</sup> has 2 energy levels/shells <em><strong>AND</strong> </em>Na has 3 ✓</p>\n<p>less shielding «in Na<sup>+</sup> so valence electrons attracted more strongly to nucleus»<br/><em><strong>OR</strong></em><br/>effective nuclear charge/Z<sub>eff</sub> greater «in Na<sup>+</sup> so valence electrons attracted more strongly to nucleus» ✓</p>\n<p><em><br/>Accept “more protons than electrons «in Na<sup>+</sup>»” <strong>OR</strong> “less electron-electron repulsion «in Na<sup>+</sup>»” for M2.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Cr:</em><br/>[Ar] 4s<sup>1</sup>3d<sup>5</sup> ✓</p>\n<p><em><br/>Cr<sup>3+</sup>:</em><br/>[Ar] 3d<sup>3</sup> ✓</p>\n<p><em><br/>Accept “[Ar] 3d<sup>5</sup>4s<sup>1</sup>”.</em></p>\n<p><em>Accept “[Ar] 3d<sup>3</sup>4s<sup>0</sup>”.</em></p>\n<p><em>Award <strong>[1 max]</strong> for two correct full electron configurations “1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>4s<sup>1</sup>3d<sup>5</sup> <strong>AND</strong> 1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>3d<sup>3</sup>”.</em></p>\n<p><em>Award<strong> [1 max]</strong> for 4s<sup>1</sup>3d<sup>5</sup> <strong>AND</strong> 3d<sup>3</sup>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction ✓</p>\n<p>between «a lattice of» cations/positive «metal» ions <em><strong>AND</strong> </em>«a sea of» delocalized electrons ✓</p>\n<p><br/>mobile electrons responsible for conductivity<br/><em><strong>OR</strong></em><br/>electrons move when a voltage/potential difference/electric field is applied ✓</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “nuclei” for “cations/positive ions” in M2.</em></p>\n<p><em>Accept “mobile/free” for “delocalized” electrons in M2.</em></p>\n<p><em>Accept “electrons move when connected to a cell/battery/power supply” <strong>OR</strong> “electrons move when connected in a circuit” for M3.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O forms hydrogen bonding «while SCl<sub>2</sub> does not» ✓</p>\n<p>SCl<sub>2</sub> «much» stronger London/dispersion/«instantaneous» induced dipole-induced dipole forces ✓</p>\n<p><em><strong><br/>Alternative 1:</strong></em><br/>H<sub>2</sub>O less volatile <em><strong>AND</strong> </em>hydrogen bonding stronger «than dipole–dipole and dispersion forces» ✓</p>\n<p><em><strong><br/>Alternative 2:</strong></em><br/>SCl<sub>2</sub> less volatile <em><strong>AND</strong> </em>effect of dispersion forces «could be» greater than hydrogen bonding ✓\\</p>\n<p> </p>\n<p><em>Ignore reference to Van der Waals.</em></p>\n<p><em>Accept “SCl<sub>2</sub> has «much» larger molar mass/electron density” for M2.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>pressure decrease «due to larger volume» ✓</p>\n<p>reactant side has more moles/molecules «of gas» ✓</p>\n<p>reaction shifts left/towards reactants ✓</p>\n<p><em><br/>Award M3 only if M1 <strong>OR</strong> M2 is awarded.</em></p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "structure-1-3-electron-configurations",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "structure-2-3-the-metallic-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the equilibrium constant expression,\n   <em>\n    K\n   </em>\n   <sub>\n    c\n   </sub>\n   , for the reaction above.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain how the equilibrium would be affected by increasing the volume of the reaction container at a constant temperature.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <em>\n   K\n  </em>\n  <sub>\n   c\n  </sub>\n  =\n  <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msup>\n     <mfenced close=\"]\" open=\"[\">\n      <msub>\n       <mi>\n        SO\n       </mi>\n       <mn>\n        3\n       </mn>\n      </msub>\n     </mfenced>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mrow>\n     <msup>\n      <mfenced close=\"]\" open=\"[\">\n       <msub>\n        <mi>\n         SO\n        </mi>\n        <mn>\n         2\n        </mn>\n       </msub>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mfenced close=\"]\" open=\"[\">\n      <msub>\n       <mi mathvariant=\"normal\">\n        O\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msub>\n     </mfenced>\n    </mrow>\n   </mfrac>\n  </math>\n  »  ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Square brackets required for the mark.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  pressure decrease «due to larger volume» ✓\n </p>\n <p>\n  reaction shifts to side with more moles/molecules «of gas» ✓\n </p>\n <p>\n  reaction shifts left/towards reactants ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Award M3 only if M1\n   <strong>\n    OR\n   </strong>\n   M2 awarded.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.11",
+    "Question": "<div class=\"specification\">\n<p>50.00 cm<sup>3</sup> of 0.75 mol dm<sup>−3</sup> sodium hydroxide was added in 1.00 cm<sup>3</sup> portions to 22.50 cm<sup>3</sup> of 0.50 mol dm<sup>−3</sup> chloroethanoic acid.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the initial pH before any sodium hydroxide was added, using section 21 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The concentration of excess sodium hydroxide was 0.362 mol dm<sup>−3</sup>. Calculate the pH of the solution at the end of the experiment.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the neutralisation curve obtained <strong>and</strong> label the equivalence point.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em>a = 10<sup>–2.87</sup> = 1.35 × 10<sup>–3</sup> »</p>\n<p>«1.35 × 10<sup>–3</sup> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mfenced close=\"]\" open=\"[\"><mi>chloroethanoate</mi></mfenced><mo>×</mo><mfenced close=\"]\" open=\"[\"><msup><mi mathvariant=\"normal\">H</mi><mo>+</mo></msup></mfenced></mrow><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><msup><mi mathvariant=\"normal\">x</mi><mn>2</mn></msup><mrow><mn>0</mn><mo>.</mo><mn>50</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> »</p>\n<p>«x = [H<sup>+</sup>] =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mn>1</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>50</mn></msqrt></math>=» 2.6 × 10<sup>–2</sup> «mol dm<sup>–3</sup>» ✔</p>\n<p><br/>«pH = –log[H<sup>+</sup>] = –log(2.6 × 10<sup>–2</sup>) =» 1.59 ✔</p>\n<p> </p>\n<p><em>Accept final answer in range 1.58–1.60.</em></p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«pOH = –log(0.362) = 0.441»</p>\n<p>«pH = 14.000 – 0.441 =» 13.559 ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><strong>OR</strong></em></p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdEAAAF/CAYAAAAW1fMFAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAE5zSURBVHhe7d0HmBPV1wbwQ+9VinRwQXoREOlNKQpKUQSkS5GOgPBRhUVRFJAioPwFRMAGIk2QIr0XpYgiHZUqXUG6+eY9e2cJIbssgd1MNu/vefJk5k42m8xmc+bWE8dlESIiIrpvcc09ERER3ScGUSIiIh8xiBIREfmIQZSIiMhHDKJEREQ+ivEgeubMGbPl3dWrV+XChQtmj4iIyLliNIh+8803UqBAAbN3t//++09q1qwpdevWNSVERETOFWNBdNasWdKiRQuz5917770nq1evNntERETOFu1BFM2zDRs2lGbNmsmTTz5pSu+2d+9eGTZsmFSqVMmUEBEROVu0B9FLly7JrVu3ZPv27dKgQQNTere+ffvK0KFDpWDBgqaEiIjI2aI9iKZLl077QvPnz29K7rZw4UI5efKkdO7c2ZQQERE5X4wOLPLm1KlT0qpVK23KJSIiCiQxugD9+PHjJTQ0VP766y/dx2jcWrVqSfbs2WXixIla1qlTJ/nll19k1apVum/bt2+fjBkzxux590bPnmaLiIiCXbx48SR7jhxmL3r4NYjiPmPGjLrtzcqVK6Vy5cq6ff369Ujnj7Zp00Zmz55t9oiIiEQSJEhgtqKHX4MoAuOGDRt02zZ69Gg5cuSI3hcrVkxSp05tjkTu5ZdflpkzZ5o9IiKi6OfXPtGECRNqTdP9liVLFg2c2I5qACUiIvKHGA2iadOmlbx585o97zJlyiQ5c+Y0e0RERM4Vo8250YnNuUREFNP8PsWFiIgoUDGIEhFRrIRlZ6Mbm3OJiCjGYKoiZmZgOdhz585p2enTp/X+ypUrulQsIG0m1hJwL7Mf9/fff8u1a9f02D///CM3btzQ57Wf097PnDmzHDt2TH8mujCIEhEFKdTUEJBw7x6MwA5YFy9e1IDlfgyBCgHrXkHv7NmzWoafx+/xRaJEiSRlypS6/cgjj0jcuHElefLkkiRJEj2WKlUqXVQBA1dxDI+JHz++pEmTRn8OyU+iE4MoEZGDIWCh5oaAZAejy5cvy7///quBD0HLrpkhyCHY2UEO+/ZCNSi3H2f//P2wAxVg+iEWMXAPcDiG4OVZhp/DY+0piziWOHFiiRMnjq6tDnZw9PZ8TscgSkT0kCG4oTaGYGYHvfPnz2utDkEPARFBDOWoweGx2Ebtzw6UeI6o9unZNTMEIDsQ2fcIWPa+/TjcsI25+ghuuHev0YEdAJMlS6Y38o5BlIjIAwIYam+4IeAhGGIbwc0uQ0C09xEg7cCHY/eSPn368ECGYIUghUCHJkgEO7ssadKk4UEOP2MHOTtAMsD5H4MoEcVqWGYUgQ01PvseQc++R4BEKkZsoyZoN4V6Ywcx3BDEEATRJIlAh22UoWkyRYoUGtwQ+FCObZQz6MU+DKJEFFAQFJFCEQHPvscN5fY2AiTuI6oVoiaHoIZgiPsMGTJowMM2AiLKcY8bynGPAIngSOQuRoMo2ve/+OILefXVV03JbevXr5cdO3Zo8m6sm4tO5vvBIEoUuNA/ePToUTl+/LicOHFCbwiQ9r37zdtXFgKdfXMPiLhHTRE37OOGbdYG6WGJ0SDaoUMHTVdmZ3Gx9e/fX/OJInhu3LhR84suXbr0vq76GESJnAl9hsjMhPl6CJJ//vmn3mMfQRLbqDW6Q7Mp0iRiLW3ce7shQOIeQZPIX2IkiKKPoX379jJr1iz94LsHUQTNsmXLyvbt2zX1GTrmCxUqJG3btpUBAwaYR90bgyhRzEPrEmqQBw8e1KCIYPnHH39oYLQDp+dUCjSN4kIZE+ERJO2kE1mzZtVtlDMwUqCI9iCKEWwhISHy2GOPSfny5WXGjBl3BNFt27bJkiVLtDZqq1+/vvZZfPnll6bk3hhEiR6+mzdvalA8dOiQBkUES9xjH+UYkOMOATJXrlya0hBBEcHScxujUolii2gPoqhZLlq0SBo0aCAfffTRHUm5vfnpp5+kSpUqmsC7adOmpvTeGESJfHfgwAHZs2eP7N27NzxQYhuB0n2kKlqSECRxUYygiBqk+z0H3lCwidE+UQTGiIIoBgxUqFBB9u/fL/Xq1ZNvvvnmvgYXMYgSRQ6T+X/99Vf57bffZN++fRokcY//ObvJFSvLICCi9Sh37tySI0cOzQGMe5RxQA7RnRwTRDFRGf/QuALu3bu3PPXUU2zOJfIBWn92794tv/zyiwZN3CNwolZpw6T+PHny6Gh43GMcQuHChbU2GQhLrRE5hWOCqLtVq1Zpky7+8XEVDPgiwM9GBAOUli9fbvaIYj8s7L3fuvBEM+yBgwe1SRY3jH61oS8yX7582gSL2iRqmdi21ywlis0wyhstKNHJ70F0xYoVOj+0R48epkR0RB/++desWaNNvFHBmijFZlhEHLXKrVu36v+LfbObYVGzRE2ySJEiWqssUKCAbmM9VCKKPn4PotOmTdPFF9CMi8AJeByadDHyL6oDFRhEKTZBf+WWLVv0hhHsmAKGhckBNcrixYvrlDDcihYtqmVEFPP8HkRxhV29enXNYtC8eXNtmpo6daouvoD9qGIQpUCFZlnUMJctW6Yrd23evFnXcQXMmSxTpow88cQTUqpUKb1nUyyRc8RoEMVV9erVq6VXr16mJAwC6ZgxY/SLBF8aCJ640r4fDKIUKDD3ElO58L+A/n/05yNoImUVAmXp0qV1YB2CJxYfICLnitEgGp0YRMnJdu3apf3/qG2uW7dOR6NjOsmTTz4pFStWlGrVquliJEh5RUSBg0GUKBpgqUusxGXf0L9vB02sEY0blrvkvEuiwMYgSvQQYBk89GfihuZZzNPE0HoETTTRlixZUgcBMWgSxS4MokQ+QhMtkirghtG06NOsWrWq1K1bV5577jldJ5aIYjcGUaL78Pvvv8v06dPl888/18VAkidPLrVr1w4PnFw7lii43F/ma6IgdOXKFQ2aqGVitZ8hQ4boSlpIMI/pWliesmHDhgygREGIQZQoAujnfOONN7RZFhmFkFx67Nixmitz7ty50rhxY6b1IgpyDKJEHrDcZJ06dTSLCdL3IY0f5jBjbmfnzp252AERhWMQJTI2bdqkixxUqlRJdu7cKSNGjNB1nLF6FkbXEhF5ivEgilGM3iDXITK1nDlzxpQQxQxkPWnZsqWUK1dOF3SfMWOGZkNBUoTUqVObRxER3S1Gg+ikSZO8ZmVBkxmWN0MNIEOGDNqUhsnqRNEJeTf79u2r+TTnzZun/Z2ogTZp0oQ5NYkoSmIsiGLx+Y4dO5q929auXSudOnXSuXaohR4+fFgzurRp08Y8gujhw+cNeTaHDx8u7dq10xYSfA7jxmUPBxFFXbR/Y2B6AKYG9OvXT2rUqGFKb8M0AdRO7WNI6dSzZ09ZtGiR7hM9TKdOnZIXXnhB5xWjBvrzzz9rDRQtIERE9ytGgijm1CGhcM2aNU3pbaNGjdJagTvURDGJnehhwhq2SFyN7CmffPKJZlDJnz+/OUpEdP+iPYimTZtW+zwjWgINS6W51wKQT3TkyJHStm1bU0L0YJCvEwskPPvssxo0sVwfuwuI6GFwVAcQRuc+88wzUqBAAXnzzTdNKZHvkKsWA4UGDRqko22XL1+uXQZERA9DjK6di8FFoaGhulSaJ0xkRwBFpguMlPRcQm3fvn2auDsiaKpbtnSp2SMKS37d3Qqc+Gz079dPWrRoYY4QUTCIFy+eZI/mi2ZHBFEEyCpVqmhi4v/9739eExOjRoFl1yKC5rnZs2ebPQp2aMLFSkOLFy+Wr7/+WheJJ6Lggzy+0cnvQRSBsXjx4jqCF/NIfcUsLuQOa95+8MEHunA81rglIooOfu8Tfffdd3U0LmI55um53zAZnuh+YXF4DE4bMGAAAygRRasYDaIYoVu2bFmzF+bs2bNSsWJFOXjwoA4scr/dunXLPIooak6cOKFN+1j9avDgwaaUiCh6MCk3xSpYSGHdunW6fF+2bNlMKRFR9HDUFBeiB4H+zwULFugobgZQIooJDKIUK2CAGpaLxKpYzZo1M6VERNGLQZRiBSzOgUD64YcfmhIioujHIEoBD0tFTpgwQXr16iW5c+c2pURE0Y9BlAJe//79JX369NKnTx9TQkQUMxhEKaBt2bJF5syZo3NCkyVLZkqJiGIGgygFNKyAFRISIq+99popISKKOQyiFLCQ0gzJ2zEqN378+KaUiCjmMIhSwBoxYoRkzJhRWrVqZUqIiGJWjAdRZNcYPny4XL582ZTcFtkxInenTp3SFao6duyoid2JiPwhxoPokCFDpHfv3l4DZWTHiNxNmTJFL7rYF0pE/hRjQRQT4Vu2bKmB0hO+DAcOHOj1GJE3kydPlrp162pzLhGRv8RYEC1VqpQOBBk7dqwpuQ0BFImTvR0j8rR27VrN+tO6dWtTQkTkHzEWREeNGiXbtm2TQoUKmZLbnnvuuQiPEXmaMWOG1kCffvppU0JE5B8xFkRr1aolceN6/3XlypWTlClTmj2iiN28eVMXV0DqO05rISJ/i7EgSvQwIFfo6dOn5aWXXjIlRET+E+NJuVetWiVVqlTRKQoZMmQwpWEiO/bLL7/o6jQR2bhxoyxfvtzsUWz17rvvyvz58zWYxosXz5QSEd0N3xFY0Sw6BUwQvRc072HeIMVeGMWdM2dO7UP/+OOPTSkRkf+wOZcCxk8//SR//vmn1KtXz5QQEfkXgygFjJUrV0qCBAmkfPnypoSIyL9iPIiWLVtWm2vTpUtnSm6L7BjR+vXr5cknn2TKMyJyjBgPogkTJtT+Tm/TXSI7RrRhwwYpU6aM2SMi8j9GKwoIR44c0aktTz31lCkhIvI/BlEKCFjRCtCcS0TkFAyiFBB27twpqVOn1ikuREROwSBKAQFBtEiRImaPiMgZGEQpIPz6669MUEBEjsMgSo539epVOXTokOTNm9eUEBE5A4MoOd7hw4cFq1PmyZPHlBAROQODKDnegQMH9J5BlIicJsaD6N69e83Wna5fvy579uyRM2fOmBKiMKiJxokTR7Jnz25KiIicIUaD6KRJk6RChQpm77Z9+/ZJvnz5dNm/Rx99VFq2bKlBlQj++OMPyZIli65oRUTkJDEWRMePHy8dO3Y0e7chvVWdOnWkefPmcv78ec0bioXG33nnHfMICnbHjh2TzJkzmz0iIueI9iB65coVqVq1qvTr109q1KhhSm9DcmU08Xbt2lX3MQKzT58+8sknn+g+0dGjR7UmSkTkNDESRBEYMc+vZs2apvS2jRs36io0adOmNSWi66MeP35cpzUQnThxgkGUiBwp2oMoguNHH30U4Zegty9Iu+kOzXhEWHg+ffr0Zo+IyDlidGCRNzdu3JB48eKZvTB2KrRbt27pPQUvLLTw999/M4gSkSPFcWEWewzB4KLQ0FD566+/TIlI7969Ze3atdqsa/vzzz91OsOWLVvCs3ZgwBF+NiL4+eXLl5s9ii3+OnVKKlSsKGNGj5aazz5rSomI7g0VtJCQELMXPfweRFGGkbjuTbfr16+X8uXLy8mTJyVjxoymNHIvv/yyzJw50+xRbIGLJ6yZixHblStXNqVERM7g9+ZcfDFiEBGSLtuWLVsmBQoUiHIApdgL/aGANGhERE7j9yBasGBBHbXbqVMn2bFjh05tee+993SaCxH6QyF58uR6T0TkJDEaRDEKF6sSefryyy8lVapUGkzHjRsnH374oTRr1swcpWCGKVKQMmVKvScicpIY7RONTuwTjZ3QZ965c2cdxR0/fnxTSkTkDH5vziWKzLVr13TxeQZQInIiBlFyNPSJpkuXzuwRETkLgyg5GmqiREROxSBKjsbViojIyRhEiYiIfMQgSo527tw5SZYsmdnzLySVHzx4sNl7MBcvXtQR5ViRKTbDe3Rf0vNefv/99/BpTUSBgEGUHA1JCJImTWr2/OvSpUty4cIFs/dg0Nc7a9as8BWZYiss8RnVfu2ff/5ZVyr7559/TAmR8zGIEkXR66+/LqNHjzZ7FBWrVq2K8prHZ8+elX///dfsEQUGBlFyNDTnpkiRwuxF7uuvv5bq1avrUpIvvfTSXc2Ie/bskYYNG+rx5s2by9atW7W5EVmDoFevXnc0r3o2udrNuf/995/+/Pz587XchoCB50dzJB4zbdo0efbZZ/X3lSpVSp8/oprszZs3ZejQoVKmTBkpVqyYvPbaa+GvC1Br7dGjh/zwww9StWpVfQyC+uXLl80jwtLGvfvuu1KuXLnw5zh16pQ5Kro+9auvvqrH8JgRI0bI9evXzdE72e99xYoV+l7tc7pz507ziDBYqrNx48ZSuHBhfV1Tp041R8K4N+fa52/u3LlSoUIFKV68uPTv319fA16b3VTepk0bWbJkiW4TOZ0jgii+cD777DNdPxdX+g+ryYwCD4IAvljxmQAElyRJkuj28OHDI+yTxM8haDz33HO6bGTevHnlmWee0aADyBKEwIEFuvAZQ6q9559/XoOTvT4vEh+4N696Nrlu375dAyXy3WIFpZEjR2q5bcKECfpYvF68ni5dusgLL7ygqy4hEOE4AqE3ffv2lRkzZkjXrl117ejz589L6dKlNWk9IJBPnjxZBgwYIE2bNtUb1pnGz9lefPFFLcMKT2+99Zbs2rVLa4F2kELQQtDF8+MxCGoRLa9pv3c8Z4YMGWTMmDGaVqpixYrhySIQHPEa0Wf9wQcf6HvF/7D73wjPcfToUd3G+Rs7dqyMGjVK2rZtK/Xr19e/6fvvv69rIyO4A/5OdmJ+IsfDsn/+1qhRI5f1pebq16+fq169eq6sWbO69u/fb45GTYMGDcwWBTIrkLnixInjsr5cdb9SpUr6t/3000+1fNGiRVruzgo4rsSJE7vmzJljSsL06dPHVaJEifDtPHnyuKzgp/vQvn17LHnp2r17t+4XLVrUtXLlSt0Gqxanx+2yjh076uuBxYsX6+uxAoruW4FYX4MV6HS/d+/erv/973+6bWvRooWrUKFCuu3+3FbAcqVPn951/PhxPQa3bt1ylS1b1tWzZ0/dHzRokCtBggT6cza8/ieeeEK3N2zYcMd7Abw2K8hpWevWrV3VqlUzR8IcPnzYZQVG16ZNm0zJbfbrs4K1KQl7TUWKFHF169ZN9/F8VuDUbZt1MazPaV1M6D6eY+bMmbqN85c6dWrXpUuXdB+sIO2qXr26buNc4PHu75HI6fxeE8WV6rx582T16tXanPXtt99qc44VWM0jKJig9oiaiXVBJVbA1KZRNBlaX8Bag0HzqCfkn0VTJmqdaOK0b2i+/fHHH3VAEJpuq1SpcsfygWie9BVe5+OPPy4fffSR7k+ZMkUXybc/t6iJogkUx1GzRs3RCrzhNWx3eH+ocaOGaL921FhRG0TN15YrVy6tFdqQKtAetLNmzRo9jt9py5Ejh9YWUYZzg3Pkfn5QI0ct0v13eEJzrA01cCSJQBJ9wL110avbNtRcMRgMfxNv8FrcR1u7vweiQOT3IIp/futqWnLmzGlKRJt58OWH4e4UfN544w0NRuhftGpLsn//fmnVqpVYNSDziDuhaRXQn4imQPvWpEkTTUqAwInghSDg7kFG/aJp024SRXMpgiUu/uzn7NChgwZ8fI4feeQR7YtEU7M3eP34OffXjtv//d//6YWlLbL1gxGEIzuO34H/Mc/fgddfu3Zt86i7WbVrsxUG5xBrGQOCJc6DO3vfukDXe09cA5liG78HUVy9n3Ib/ABI0g12XwoFH/RrIvigjxHTHjAIJiKFChXSe9RqGjRoEH7DZ2vz5s0aCIoUKSI//fSTPs7muY8A4T69Yu/evWbLOwR69Kei5ozHorYJeA70TSJA4YZaJQbdRPR5zp8/vw7kqVat2h2vH/2hf/zxh3lU5DCw59ChQzoQy4bAmi1bNpk+fbqeI9TI3Z8ffcKooUY2L9PzHOF8lihRQrfxnJs2bdJt24YNG/Te/psQxXZ+D6IYjHDw4EH59NNPdR8jEnEFDnYNg4IP8ssi8MCTTz4ZPrjIm9y5c2szYvv27cObEXGP2p8dFDFgZ/fu3fL2229rs+aWLVt0291jjz2mwRvBCMd79+5tjniHhfFRu0TTLQILgiEkSJAgvJkUAQqB7c0339SA5W0KR9q0afW9YpQrBu2gZotRrqiRRzUZOUYl4/W3aNFCgy/eN4I3gnyNGjV0ZDBGxaLJGIOLzpw5I+3atdPuFAyyiggG/qDZFq8Jg4LWrVun5xJwj4sFjELGcTRL42+Ac4K/yf1KlCiR3uN34PURBQJH5BNFLQOBE1+c+NLBCETc8EWGL1DA6Ep8CUQEIxfRh0axAwLQK6+8os2CCEpLlyyRfCZIefOvFRh6WkEH/Y4Ikqh91rEu0N555x1JavrgNliBtUfPntpNgGkzaC5GTXG19bsez5tXP28YNYoFAtD32L9fPxk0eLCOHMcUFYx4PXDggO7bvrc+c3hOBCkEbdu3s2dLf+szjJHmCRMm1MBSqWJFGWq9nvVWkLh565Y2p9rPfdz6fL9mBSDU/ND0jFo4AhKajAEjfPHeFixYoPvgWXbYCv6vd++u/b84b7lDQjRolrV+D3xjBcxh1j7+lwBBH8ft/zF3mLOJ2iTOEf6vEJSzZc0qb1kXHgjKtgnWa/hw3Lg73iee006ijt8xetQoqVGzptfz516Gv+EzVm0cTfivd+sm/9enj3kUkW/QuuQ+jiA6OCYpN4bwo0kM/Vq4Gi9btqw289onAP+kuNKNCIbVz583z+xRIDt2/LgGmEqVKoXXSkKsgIDgE1mNFG5ZAQi1L3yJx/PoA7X9bQUE1BT379snT5UuLZs3bZJ8+fKZoyLnrc9amtSpzd6DwXOhNpkgin2BGGRzxboISG1dUPoKP4+m3BQR1GL/uXRJ+y6TRnIuT1vnHLXJ7777Tv8XUXtNGcl83QsXL+o5jer7jAzOWWR/P6KoQv99CnNBF20QRP0Jw+ubNWvmsv7pTYnLFRoa6ipQoIDZi5oGnOISK2AaRcWKFXWak1Ub0qkfmAaRKFEil1UrM496ODD1A/8C7tNCKIw9xcV9yg8R3c3vl3pIc/XVV1/p1BZA/wsmsdv9ohRchgwZop+Bzz//XPsK0S+O0dtolkXzJRZEeFgwUhSfP44YvRuawXBu0JRORJEwwdSvPvvsM1eKFClcadKkcSVPntz1/vvvmyNRx5po4NuxY4dO1B84cKAp0a4G17hx47SGWqVKFVfmzJm1hkpE5ASO6RPFEH9MbcGEcc+5aVGBSeGYE0ixC/o0rCCqy8kRETmNY3ruMTIXI/l8CaAUO2HaBNhTH4iInIbD38ix7EQEuMAiInIiBlEiIiIfMYiSY9k10TRp0ug9EZHTMIiSY9nLPnIKChE5FYMoOZadLDv1Q1o9iIjoYWMQJcey80xywj8RORWDKDmWndYLi7ETETkRgyg5ll0T5dxhInIqxwRR1DqQ/upeiZApeNg1UfaJEpFTOSKILlmyRJf7Q/7EYsWKacZ9pF6i4IaBRQygRORkfg+iSKDcpEkTTeT722+/yaFDhzQx8bBhw8wjKFjZeUGJiJzK70H04MGDmkW/WrVqup8pUyapXbu2rF+/XvcpeGGxBdZEicjJ/B5EQ0JCdEWajRs36v4///wjq1evliJFiug+BS9cXHG1IiJyMr8HUYy8XLBggbz++utSoUIFyZMnj/aPDh061DyCgtVff/0lGTJkMHtERM7j9yB65coVeeONN+Spp56Szp07S+vWrWXdunUye/Zs8wgKVqiJco4oETmZ35NyI+HywIED5ejRo5IsWTItGz16tPTv31/OnDkjSZIk0bJffvlFQkNDddsbNAcvX77c7FFsULZsWWnUsKF07dbNlBARRV28ePG0yzA6+T2IdurUSX7++WdZs2aNKRHdR5/o7t27pWDBgqY0ci+//LLMnDnT7FGg+++///QfYOzYsdKlSxdTSkTkLH5vzkUfKIKlvToN/Pjjj5IoUSLJnj27KaFgc+rUKb3PkiWL3hMROZHfg2irVq0kXbp00qJFC/nhhx9k/Pjx0qNHD+nXr5+kSJHCPIqCzbFjx/QeU56IiJzK70E0VapUsnbtWu0P7datmw4o+uCDD+TNN980j6BgdOLECb1nECUiJ/N7EIWMGTPK5MmTdfDQihUrpGXLluYIBSsMNIPMmTPrPRGREzkiiBJ5OnLkiAbQhAkTmhIiIudhECVH+uOPPyRr1qxmj4jImRhEyZGwpvJjjz1m9oiInIlBlBwJ2Xxy5sxp9oiInIlBlBwHSQiw5B/mEBMRORmDKDnO3r179Z7NuUTkdAyi5DhIzg758+fXeyIip2IQJcfB2snI3oL5w0RETsYgSo6Dkbl58+Y1e0REzuU1i0vlypXNVuRSp04tc+fONXu+wVq5EyZMMHt3+vTTT6VUqVJmL3LM4hJ7FC5cWEqUKCFTp041JUREzuS1JpohQ4Y7bqdPn5Zff/31rnIsHP+gkOqsQYMGd9xu3Lgh586dk2zZsplHUbBACrT9+/ezP5SIAkKU8okOHjxYVq1apbfotnDhQqlXr54m2K5QoYIpvTfWRGOHAwcO6NSWOXPmSN26dU0pEZEzOapP9OLFi9KmTRvp2rXrfQVQij3s6S2siRJRIHBUEB0xYoTcunVLBg4caEoo2KDbAAnZQ0JCTAkRkXM5JohevnxZxo0bJ7169dIcoxScML0FI3Pjx49vSoiInMsxfaILFizQfk0kY8aoX09IjRXZaM1Zs2bJksWLzR4Fqudq1dI1cyeMH29KiIh8EzdevGjPSew1iCKYuUOybIzQ9Zz6kjJlSpk0aZLZezBvvPGG/Pnnn/L111+bkjuhpopAGpEePXroYBQKXBiZi0UWBgwYID179jSlRES+iRMnjiRJksTsRQ+/zxO1Va1aVZo3by4tW7Y0JfeHo3MDHy6ScuXKJd99953UsmqkREROF6Xm3JiQJUsWWbp0qc4b9QWDaOD74YcfpFq1anL06FH9PBAROV2UBhbdvHlT1qxZIxMnTpQpU6bIrl27zJGHB7GcWTuCGxZZwHq5DKBEFCjuGUTRH1qoUCGpVKmS9O3bV7p37y5FixaV6tWr66pCD8vx48ejve2anG3fvn263B8RUaC4ZxB96aWXdAWZP/74Q4MmFkRAqqqrV69Khw4dzKOIHtyePXsYRIkooEQaRLEEGwZ7fPXVV3esY4t5fJ9//rnMnj1brly5YkqJHgwuzkqWLGn2iIicL9IgmixZMrN1NxzDlAT0lxI9KLRwoLWjdOnSpoSIyPkiDaKZMmWShg0bSuPGjeXUqVOmVLRZt127dppxJUWKFKaUyHebNm3SzxuyAxERBYp79olu3rxZVxPCiMncuXPL448/Lo8++qg25W7dulWnpODGBePpQaxfv14HsBERBZJ7zhPFkn9RgeZdrHvrL5wnGtiwwAf6Q5GEgIgoUDhmsYUHxSAauDDSG6tfYQnJpk2bmlIiIue7Z3MuUXTbsGGDXLt2TYoVK2ZKiIgCA4Mo+d2yZcs0mQETcRNRoHFMEL1w4YLMnz9fFi5cqNMdKHgsWbJEqlSpIvHixTMlRESBwRFBFImYMcJ3yJAh0qVLF83kgdGaFPshf+z27dvl2WefNSVERIHD70EUizVgvmn79u1l27ZtukoSRmq2adPGPIJiM7Q8wHPPPaf3RESBxO9BFE15WFqwW7duuh83blwZOnSotG7dWq5fv65lFHshkTrWy3VfVpKIKFD4PYhiZCaywvzzzz86RxC3BAkSyBtvvCEJEyY0j6LYCH/zFStWSN26dU0JEVFg8XsQxXqpiRMn1lRrqJWMGTNGV67BICOK3b777judI4rmfCKiQOT3IIr5gUj4/fHHH+tgosOHD8uLL76ofaL4gqXYa8aMGVKkSBHNCkREFIj8vmJRy5YtdXTmzp07TYnI3r17JV++fLoo+VNPPaVlSA4eGhqq295s3LhRli9fbvbI6c6dPSsVKlaU17t1k7bt2plSIqKHB9PmQkJCzF708HsQxbQWNOtt2bLFlIgcO3ZMsmbNqv2lZcqUMaWR47J/gWXs2LHy+uuvy++//85BRUQUsPzenPvCCy/ITz/9pH2jtkWLFulaqlwGLvaaPHmyPPPMMwygRBTQ/B5EESjbtm0r9evXl+nTp8vbb7+tNRTcJ0mSxDyKYhOk19u1a5f+3YmIApnfgyiMHz9emjVrpkEUtdIvv/xSOnXqZI5SbPPRRx9JxowZpU6dOqaEiCgwMRUaxagzZ85oE26PHj10UQ0iokDmiJooBQ8EzkSJEkn37t1NCRFR4GIQpRiDUddoykWSgXTp0plSIqLAxSBKMWb06NESJ04cDaJERLEBgyjFCOSLnTRpkrz66quSIUMGU0pEFNgYRClGoBaKBefZF0pEsQmDKEW7y5cv6wpFTZs2ldy5c5tSIqLAxyBK0W7ChAny999/y4ABA0wJEVHswCBK0Qp9oe+99x5roUQUKzGIUrRCXygCKWuhRBQbOSKITpkyRUdsut+QT5QCG4InkqyzFkpEsZUjlv1r166dHDly5I61VPGlW6NGDbN3b1z2z3n69u0ro0aNkt27dzOIElGs5IggikwuqHl27tzZlNw/BlFn+euvvyRXrlyadB0JBoiIYiO/N+dev35dfvvtN3nkkUdk6tSpmskFi5RTYAsNDdX7fv366T0RUWzk9yD666+/yrVr16R9+/Y6ihP3jz/+uKxZs8Y8ggLNoUOHNOl2x44dJUuWLKaUiCj28XsQxeCT0qVLy7Jly2TPnj3aDFimTBlp0qSJ3Lx50zyKAsngwYM1oXr//v1NCRFR7OTIfKK7du2SokWLytatW6VkyZJatm/fPh3pGZElS5bIsqVLzR75y8GDB6V6jRrStWtX6WbdiIj8JV68eJI9Rw6zFz38HkSxnuq5c+ckh9sbPXHihGTOnFnWrVsn5cqV0zL0naLWGhEMTJo9e7bZI3/BCOvt27drP3fSpElNKRGRfyRIkMBsRQ+/B9F3331Xa5jINYmrBvj222/llVdekVOnTkmqVKm07F44Otf/1q9fL+XLl5dx48ZJp06dTCkRUezl9z5RTMS/cuWK9qOdPHlSvv/+e8032atXrygHUHIG9IGGhIRI27ZtTQkRUezm9yCaLVs2WblypSxatEgyZcqko3MxX9SeIkGBYeHChbJ69Wp56623JGHChKaUiCh2c+TAIl+wOdd//vvvPylevLjcunVLdu7cKXHj+v3ajIgoRvDbjh4YBnQheA4bNowBlIiCCr/x6IFgLi/WyMWAolq1aplSIqLgwCBKD2TatGk6NxR9oUREwYZBlHx29epVGTRokFSvXl0qV65sSomIggeDKPkM6+MePXqUtVAiCloMouSTy5cva/CsV6+elCpVypQSEQUXBlHyCZJtI1kA5/MSUTBjEKX7huA5cuRIad68uRQuXNiUEhEFHwZRum+ofWJQEftCiSjYOS6Ibtu2TebOnWv2yGl++eUXmThxovTo0UOXbCQiCmaOCqJoJqxdu7aMHj3alJDTdOvWTdKnTy99+vQxJUREwctRQbRVq1aaW5Sc6ZtvvpHly5fLe++9JylSpDClRETByzFBdM6cObJ//35p1KiRKSEnQfL07t276/J+SF9HREQOCaLXr1+XAQMGyBdffMEajkMNHDhQk6RPmDCBi8wTERmO+DbE0nGo4ZQsWdKUkJNs3rxZxo4dKz179uSUFiIiN34PoqtWrZKPP/5YAyk5D6ayvPrqq5I7d27+jYiIPPg1KfelS5fkscce09pNhQoVtGzRokU6Srdly5Z6y5kzp5YfOXJEpk6dqtvezJo1S5YsXmz26GFAku32HTrIli1bZPY332ggJSIKFOh6ypwli9mLHn4Nohis4jlVYs2aNTpCt27dujqd4vHHHzdHIvfyyy/LzJkzzR49DEOGDNHa53fffcdcoUREXvg1iHrTqVMnndCPZt77wSD6cOFipmrVqtLBqol++OGHppSIiNxxmCXdBaNwGzduLEWKFJHhw4ebUiIi8uS4IIqpLpH1fVL0wnSjhg0baqoz1OwTJ05sjhARkSfHBdFMmTKFDyaimIcFFdCU+/nnn3MgERHRPbA5l8JhWT8spjB06FAOJCIiigIGUVLHjh2Tjh07SuvWraVv376mlIiIIsMgSjql6Omnn9Y5u6iJEhFR1DCIBjkE0GeeeUYXuJg2bZokTJjQHCEionthEA1imMqCAIrVoH744YcoL2xBRERhGESDFAInllq0A2jx4sXNESIiiioG0SCEtXDLlCmjc0FXrlzJAEpE5CMG0SDz9ddfS5UqVSRdunSyYcMGKVq0qDlCRET3yzFBFLUirJl75coVU0IP082bN6VXr17SqFEjqVy5sqxbt05y5MhhjhIRkS8cEUQXLFggWbJkkUqVKkmaNGnk//7v/+S///4zR+lB/f777zqFZeTIkbqsIs53qlSpzFEiIvKV34PooUOHpEGDBjJ+/Hg5c+aMNjEiSTemW9CDQ57VJ554Qvbs2SPff/+9vPXWW5pjj4iIHpzfv03x5V6xYkXNGgIY5II+uyVLlug++QbzP5s0aaIp4kqWLCk7d+6UGjVqmKNERPQw+D2IYo3WpUuXhteOkKh7x44dUqhQId2n+zd//nwpWLCgfPvtt5oLdPHixbqwPxERPVyOade7ePGitGvXTvLly6cBoEePHuYIRRVqn82aNZM6deroEn6ofXbu3JnNt0RE0cQx367Xrl3TFXPq16+vI0cnTZpkjlBU2LVPZGLBAKK1a9dyBSIiomgWx2Ux246BQUWvvvqqZhbJmDGjlmH6S2hoqG57s3HjRlm+fLnZCx6YGvT+++/LV199JYULF5Z3331X8uTJY44SEQWvePHiSUhIiNmLHn4Poph+cfToUSlXrpwpETl58qT24WE1HcxpjAoMoJk5c6bZCw7r16/XwUM4X++88468/vrrbLolIopBfv/GxRSMmjVryqVLl0yJyI8//ihx4sSRvHnzmhLyNGLECB3FjPmeW7du1T5kBlAiopjl92/dli1bSsqUKbUWtWvXLl2WDgOMOnXqxBGlXmAAFmrdWH2oefPmsmnTJm3GJSKimOf3IIo1XNEseeLECU3LhT49rFg0ZswY8wiyrVixQhdOwIpDn3zyiQ6+SpIkiTlKREQxzZEDi3wRm/tEMcCqT58+MmPGDA2in332GWufREQOwE40B8PCE2+++aZOVcEUFkxdQRozBlAiImdgEHWgq1evyujRo3VoNkbdNm3aVPbt26eDh+LHj28eRURE/sYg6iDXr1/XhfgxzxMBE9N7MD924sSJ4fNliYjIORhEHWLVqlVSqlQpXaavSJEism3bNu3j5TQfIiLnYhD1s4ULF2rwxJzPxIkTy+bNm7UM2WyIiMjZGET9AAnHschEsWLFpHbt2nLlyhWtdWKqDwIqEREFBgbRGIQBQ1OmTNHRtpiSkzBhQpkzZ45mW0FicqzzSEREgYNBNAZgkXgs04cBQ61bt5bs2bPLsmXLdLpK3bp1uVwfEVGA4rd3NPrrr79k8ODBki1bNundu7eUKFFC+zyx8hBWZyIiosDmiCCKPsLZs2drwPnoo480+AQqZKXBrWvXrpIrVy6d5/nCCy/oVJW5c+eyz5OIKBbxexDF3Mjq1avrermnTp3SXKJo9kRS6UDy888/64LwWCABt8mTJ8trr70mBw8elKlTp0r+/PnNI4mIKLbwexCdMGGC7NmzR+dFohaK5NpIyI3sLk6HPJ5YKL906dLaVIsaNIInblhQ/4MPPtCmXCIiip38HkQxzQPBM3Xq1KZEpECBArroulMhZRuSYWfNmlX69esn5cuX1xrn4sWLpUWLFnpDejciIordHJfFBXMmUbPDCFak/IqqmMjiglWFhg8fLosWLZL06dNLt27dNO+p+wUAEREFD0eNzkX/aOPGjeXPP//UjCVOgEFP3377bfiqQnv37tUmaAwe6t+/PwMoEVEQc0xN9NKlSzqKdceOHVoDLVeunDkSBv2Nq1evNnt3Q//jd999Z/YeHAI6ng/BHIEzX7580qVLF3nxxReZSYWIKADEiRNH0qZNa/aihyNqoghYDRs2lEOHDumoXM8AGpP+vnhRm2yxCHy7du203xPBdN26dfoaGUCJiMjmiJooghPmUWIRggwZMpjS+/OgfaLnzp3T4Pnxxx9rMuz69evrAgklS5Y0jyAiIrqT34Mo5oViOgtyZmJ+qLuyZcvq+rJR4WsQxZJ8+N3Dhg2Tv//+W0fW9urVS3Lnzm0eQURE5J3fgyiabjds2GD27oTFF6JaM73fIIo+1nHjxuntwoULOjd16NChTH5NRERR5vcgimbUmzdvmr07pUuXLsqLs0c1iGJULQYLYUGEW7duSaNGjXS1JK4oRERE98sxo3Mf1L2CKJblQ5/nF198IYkSJZIOHTroPE+uKERERL5y1DzR6IBE188//7wULVpUVxTCIvdYDQmpyRhAiYjoQcTaILpw4UKpVKmSLsmHWujYsWPl8OHDMmDAAC6QQERED0WsCqLoW/3888+lcOHCUrt2be1v/eyzz+TAgQPSuXNnSZYsmXkkERHRg4tVQRSrCjVt2lSSJ08u8+fPl507d2p6Mi6QQERE0SFWBdG8efPKypUrNZ0a+kGjOrKXiIjIF7EqyqAftHLlymaPiIgoerGqRkRE5CMGUSIiIh85Lohu3rxZs7oQERE5naOCKPo0y5Qpo2vZEhEROZ1jgihWE3rppZcklqxCSEREQcARQXTKlCmaU7RZs2amhIiIyPkcEUQxnxPzO1955RVTQkRE5HyOCKJIyl28eHGzR0REFBgcNbCIiIgokDgqn+iqVaukSpUqcurUKcmQIYMpDfPLL79IaGio2bsblvpbvny52SMiomAXL148CQkJMXvRI2CC6L3cKyk3ERHRw8bmXCIiIh8xiBIREfnIUUE0ffr00qBBA0mUKJEpISIici5HBdGCBQtqv2aqVKlMCRERkXOxOZeIiMhHDKJEREQ+YhAlIiLyEYMoERGRjxhEiYiIfMQgSkRE5CMGUSIiIh8xiBIREfmIQZSIiMhHjgiily9flqZNm8qjjz4qRYsWlalTp5ojREREzuWIINq4cWO5dOmSLF68WDp37iwdOnSQL7/80hwlIiJyJr/nE0Wy7UKFCsnBgwflscce07LBgwfLnDlzZOfOnbofFcwnSkREMc3vNdGVK1dqM64dQKFatWqya9cuTc5NRETkVH4Pon/88Ydkz57d7IWx948cOaL3RERETuT3IIpBRUmSJDF7Yex8oleuXNF7IiIiJ/J7n+jrr78uP/30k6xZs8aUiJw8eVIyZcok69atk3LlymnZsWPHZO7cubrtzeTJk6V169Zmj4iISCRLlixSt25ds/fw+T2IDh8+XCZOnCgHDhwwJaJBtUSJEncMNrpw4YLs2LFDt73BYCTc6P6NHj1aWrZsKalTpzYlzrFkyRKpUaOG2XOW0NBQGTRokNmjqOL/qm943nyD77fIKmAPDEHUn1avXu2KEyeO6/z586bE5ZowYYIrY8aMZi9qGjRoYLbofnXs2NF16tQps0dRxc+cb3jefMPz5pvoPm9+7xMtX768PP7441ojhb1798qwYcOkbdu2uk/BrU2bNmaLiMh5/B5E48aNK19//bXMmDFD0qRJIwULFpSKFSvKwIEDzSMomJUuXdpsERE5j9+DKGCpv/3798uGDRt0UNH06dMlYcKE5igFswYNGpgtIiLncUQQBQTN/PnzS7p06UwJkbBZn4gczTFBlMgbTlsiIieLNUE0a9asZovuF+bkxo8f3+w5S4ECBcyW8/Az5xueN9/wvPkmus+b3+eJEkWGiQWIyMkCviaKTC/PPvssc5Heh40bN2r/sycsbuG0c9m9e3ez5R9IgoB+2Vy5cmmNvVatWrJt2zZzNAwWCsGKKDiO8zp27FhzJHhdv35d+vbtK7lz55Zs2bJJkyZN7loLG6uQIQ0iVpQpXry4LFu2zBwhWLt2rf4vYtqfO/z/Vq1aVTJkyCAlS5aUb7/91hwJXj///LNUrlz5rpv7Zy66YkVAB9ETJ05IlSpVdFUj5iKNGqwG9dJLL8nZs2dNyW3NmzfnuXRz8+ZNeeaZZ+S3337TZSUXLFigX/iVKlUK/2K7ePGifgaTJUsmCxculAEDBsibb74Z9IG0ffv2+tkZM2aMpjXEOtj44rfXw7569apUr15d8whjNRn0fXu7QAlW+Fw1a9ZML+LwObThc4fPZJkyZeSHH36QV155RRo1aiRLly41jwhOWCJ269atOkXS/Wavwx6tsUKXXAhQgwYNchUoUMB169YtUxJWVqRIEbNHths3brhCQ0Nd1ofKlTdvXlf69OnNkTC7d+925ciRw3Hn0p+rtFj/bLqa1vHjx01JmHz58rn69eun2+PGjXNZV7aua9eu6T6gLHPmzHecy2By4cIF/ZzNmjXLlISV4evmu+++0/2ZM2e6kidPruU2/K2tgGD2ghvOg1Vb0nOG/00bVherWLGi2QuDsqefftrsBae2bdvedV7cRWesCOiaKHKRWh8eXbDBxlyk3p07d04XtbC+2KRLly6m9DacS6xX7LRzOXLkSLMV8zCoCecMzbTucI6soKnbOG9oNnKf14zzZgVeTTgfjFKlSqU1TPdFv8+fP6/3KVOm1PsVK1bIU089pY+14byxSVdk2rRpWrOyLsZMyW04bzhP7rCPBB6o3QcrtLChiRY1zlWrVsmZM2fMkTDRGSsCOogyF2nUYf4t+g2ef/55U3InnEv0sbhzwrn89ddfzVbMQ1+e52IP33zzjb6mF154Qff5GfQOo71x27dvn4wfP16bbtH0WKFCBT0e0XlDN8M///xjSoIP+tdxkYsFZ7CCm6eIztuNGzf0wi0Yof/dqq3LokWLtLsFzbbo9xwyZIh5RPT+nwZ0EGUu0qjDFZj7VZgnnEv73NmccC7RF+kUuMJt0aKFtGvXTpemBG+fwcSJE+t9MNcMbKgBIBMPAuN///2nLSLA/927IRhgAFbXrl21dcObf//9l+fNA4Jg0qRJddAQaqBoBRkxYoRmWLIHXUXn5y2gg2iCBAn0H9OdvY9jFHU4Xy6P2U5OOJeffPKJ2fIvNOuiNvXiiy/Khx9+aEr5GbyX1157TebPn6+Ds1CDt7sS0Pwd0XkL1iU/33rrLb2PbN1wft7uhgQmuDjD/2XatGl1kB/yVKO59osvvtDHROd5C+ggiqq7ZxOGve/Zj0WRw7n07EdwwrlEH66/vf322zoVo1evXjos3v1L3ttnEFM3IJg/g6hVuX9poe8To01Rm4fMmTOHnycb9lGLd2Je25gwdOhQOXr0qDzxxBM6srROnTpajvsePXroNj5vnueN33ne5cmTJ7zlIzpjRUAHUQxM2Lx5s9kLg/2MGTOGJ/OmqMG53LNnj9kL44RzuWnTJrPlH/hiQ9/KZ599ptueTeIRfQYRDDDQIRjhc4T3j8Eu7tDfiZoC4LxhSoJ7oN2yZYtO3QhWqEn169dPOnbsqDdcuAHu7cT0pUqV8vp5K1SokKRIkcKUBBdMkULtE9OC3KGfFBcjEK2xImyQbmD68ccfXfHixXNZX3C6/9tvv7myZ8/uGjBggO6Td5iC4TnFBUO/ce54Lm/btWuXTnFp2rSpTslwv23YsEEfc/DgQZ3OMWrUKD2HR44c0aH07dq10+PByqpNuUqXLh2e7H3lypWulClTuqxAofunT5/WfXy+MP1qx44drqRJk7q++OILPU5h087wFe0+xWXJkiWuBAkSuObPn6/7+A585JFHXGPGjNH9YIRpUjgHrVu3dl25ckU/Tzgf1oWc69dff9XHRGesCOggCh9//LHON0udOrWeJHzhuc/Zo7t5C6Iwb948x51LzOXyl969e+uXmLeb+/zVr776ypUmTRoNCjhvzz//vOvSpUvmaHA6evSoq1KlSno+8HnC5+r99983R8MsWrRI59jiGL7wBg4caI4QeAui8M477+j5wmcO57dz585BOyfZhotazH/HecHnCQESny930RUrYsXauRgFefjwYbECA1OpPSCnnUv0BX3wwQdmz7nQB4jzhv48NBFRGPTfYbRkjhw5wkctu8NqPIcOHdJmXv7vRh1GlOK8oa8PnzkKg3OCLgI00XqbjRAd329cgJ6IiMhHAT2wiGI/e1QiEZETMYiSozGHIhE5GZtziYiIfMSaKDkam3OJyMlYEyUiIvIRa6IO99dff0mcOHE0obHn2o+AY8iS8bBgqsbw4cPNnu9efvllvQGW7sPrfFiw0ggSEtuwKsngwYPNnjN16tQpwkXFvUHGHaw5S0TOxiAaIJAN46OPPjJ70WfevHnSu3dvs/dwYC1Qb7kRfYV0bsjwbxswYIA899xzZs+ZGjZsqItiR1WjRo00RyIRORuDaIDAKNU+ffrIn3/+aUoihhorJh3j9jAhN6R7ei9MlEf+Q6yVGlk6ody5c2tNzB0ej6TVESXExTqYOB6VXH9YWxRrirrD68Tr8lxU3x1eP4JxZI/xhNcT2d/g999/13Pi2WqA1GnuSapteJ14n0hxRUQBCH2i5FxYexR/JixZhSXSqlevbo6EwTEs42dbunSpLnmFdUhxCwkJca1Zs8Ycdelyde5L1oFdhvVN8Xz2DWvEogxLBL788staVrZsWf2ZkSNHhi91h9+D9WPfeOMNPQbuvwfPg5+1WRcD+nisd4nlt8qXL+86fvy4HsN97dq1tRy/F2vX5siRI3ytWpTZrw/LygHWqrWXB8TyZ6GhofqasLwXft6qpbrOnj2rxwE/i9eA84RtPKZLly7m6N3wPmrWrKm/D8uGYe1SbJ88edI8wuXatGmTq1ChQvq+8LszZ84cvr4pdOzYMfz12su5Yfk2vEZsZ8iQQdePBbwflOGGbSJyLtZEAwSWRZs4caJYQVImTZpkSu+EWtULL7ygORtRk8OtdevW2tQZlRqsFSDD83eihohmUzh9+rTmGkUtzArmsnbtWunZs6e+Dvv3YB+JcFFbjczGjRtl2LBh2jyNGiCWhTtx4kR4FnqMxkUWeqQpQn8wjiP1GBLsAnJSWsFXnwPZGzxNmDBB3nvvPU3Ge/78ea0Z4jnq169vHhHmyy+/1L7aGzdu6OORQePgwYPm6N0WL14sxYsX1+fEucQ9knMDXmetWrXkySef1HKcD+TRRO5RKzDqY7xB0/mPP/6otVD8rBX8tRznN2/evJp6DdtE5FwMogEEAfKVV17RL1cEHk8Iskj5Y9UIJX78+Hrr27evWLVR+fTTT82jIoZghbyPYNWM7ljrtHv37rr+aeHChXW9TgQgOzDh91i1Nd32zNnn6e+//9Z7BCwMYsI6sxgk9Oabb2r5q6++qmnH8PsBuf4wIMfOoYj1LrEmplUj9LpmKM5Bhw4dwlNHZcuWTctWr159R6o3NC+jCRiv3U4UHdmFBvJfvv/++/p4vGZsL1iwQAPo7NmzxaoBawBH9nw8Bu+nSJEiMnnyZPMMd0PyZazxiZ9Bzki7nxcXTFZNXLP126nDiMiZGEQDzKhRozQTO2o6nnbv3i379+/XoON+Q2BzH4jjCwRiG774ixUrJu+++640b95cc0BGNQ/k008/rQEDCZpRo8SFAfJOpkmTJvw4ghkuBHAMWevt2nFUIFBiIJM7ex99j7acOXOaLfG6MLqnEiVKaHC0IUCido7zit9ZoECBu54HNVf33+nJ/TU8aHZ9IvIPBtEAgxoaprSgFjR9+nRTehuaAVHLcr/h8Z07dzaPeHCYYoIa6bJlyzQQYNQpmk+jAoEIzbC//fabNtGiORW1z5o1a+px1CKbNm0qFy5c0AsANB+3atVKj0UFaqmeg3rsffcgeL88M0JgUBKg9u7tdwLKHuR3EpHzMYgGIDSd1qtXT5tY3SG7PZp50ReHx9g3TJWwR6BivuY///yj27b7raViqg2ajVesWKF9mZi+ce3aNXM0cqh1Iugi2KO2+f333+vFAJpb0Q+LWif6WnFD/yjmxx49etT89L3hHGzatMnshdmwYYPe45iv0LfpHihxIZEoUSJ9TtzQCuB+XvFY9P8+yO8kIudjEA1QqF161n5Q28SgHNTmEDQvX76sixCMHDlS+xYBzZCrVq2SJUuWaLNp//797wiiCAyAx6A26A36ItGniUFEqJGhT9OeA4nfGRn87NixY3VBB0zvwCAcvJY8efJok26yZMn0d2MKzLlz57RvEc/vPgUEr3HXrl1ep/B07dpVA/G0adO0zxXBr3379jq4ClNtfIUBSphihNeFhRCwjefF633ppZckZcqU2kSNixi8J5wPvL62bduaZ7g/eI8YRHWvgVpE5F8Mog6HpkIkkLWDmw1BESNKcQwDUwB9lRi9ixGfKMfgmy+++EJmzpwpJUuW1Mcg0KJ29+yzz0quXLk0UGKwEoIAlC5dWgcQValSRaZOnap9dXgu9+bMfv36adBDbRLHsTjDlClTtNaFPlnA89nPideO5wAEcTzv6NGj9XUjqOJnMDgHTaMYAIVBSxhUgwFM6M/FQCMEXARVwEIE//vf/8KbgDH4BsEMWrZsqUm8UcvF70VfLeZo4jzYvJ1PlEXWL1m+fHmtfeJ1YUBS7dq1dXAR4D0g0J89e1YHIGF/3bp1enGQP39+fYz7QCg08eL3uTf1oj/VfRARavfffPON1viJyLm4dm4shaZFjBi1v7g94Ti+xO0A7A41XNRk7ZGwEcFz4LH2iN77haCIYGYHQHcY9YrXjsDqDWp7eP3eftaG94BAHtFzRJW9fCEuRnDRgUAa0XOiJo7aua/nxJ3dPJwiRQq9JyLnYRAlugf3IEpE5I7NuUT34N40TUTkjjVRIiIiH7EmSkRE5CMGUSIiIh8xiBIREfmIQZSIiMhHDKJEREQ+YhAlIiLyEYMoERGRjxhEiYj8zE5WT4GHQZT8Cousjxs3zuzd7euvv9bUa/eC5NfIWBNokGlmxIgRuuA8kgd4QkYbvC+sJexpy5YtPr/ntWvX6iL9WNIQCd69/e7Int8+3/fK2nM/8B4jeq82JCfA7UFE5TmQqQfnJybg748E9Eg2gCxAFFgYRMmvkFoM6cuQls0TjiHdGDK53AvShoWGhpq9wIFsNMiCg0QAyOTiCUEU78tbUvWtW7fe93tG0EbKNmS2Qb7TRx55RE6fPi116tTR5Og4bovs+e3z/TCDKF4HnhP3EYmpIDpnzhz9/MUEXDQgNy9S6i1cuNCUUqBgECW/whcHspS4pyqzffvtt5qtpXXr1qYk9tmzZ4+ma0N6OAS2iOBLH7X2B4X8sfPnz9ea5/r167WWj/OMpOio9eM4iSaLt1PtRTek1FuwYIH+jZ9//nlTSoGCQZT8CjUw5Af1FkQnT54sNWrUkJw5c+o+mhe7dOmiTZ9vv/22nDp1Ssu9QbMgmhzduZfhih+BC8m90ZyJPKRI4I3n7Nu3r/4ONDO7Jz7H9pdffqmPRW0Oyb/da27eoKaGJORNmjSRdu3a6ZelDb8ftb1jx47JsGHDTOndkHsUScXx3u2cqhFZs2aN1uzRTNumTRsNjPZ7QI0HOWiHDh0q1apV0zIbcqQiATqOR9acej/QujBkyBBp3Lixvv/33nvvrtePAN68eXNNYu6tBopmZ5w3nG8Ef09IOzdp0iR9DtxmzJhxx98M7vUcnvAa8VmoXLmyKbkbjvfo0UPPM86b3Qx75MgR/ZxhH/f4HOHvj9eEixb8TfD5wd/J3RNPPCFPP/20JtunwMIgSn6HZkQEs4MHD5oSkUOHDmlTZtu2bXUfX5Rly5bVoIWaG2oKxYsX18d5g2ZBNDm6cy9btGiRDBw4UL/gkTf18OHD+oX4zDPP6CAP5DJFMELycBsCAb44kfwcycVHjhwp1atXjzCQohaNJOeo7RUrVkxzjOKCAUEakJsUTYY3btzQ3KeR+fjjj+Xff/+Vbt26mZK7IRk5kq0j12mlSpX0deH34XXC8uXL5dq1a1rmDb7ccRyPe1CoYRcoUEB++ukn/XuFhIRoEHWv3SH4tGrVSi+SEAzr169vjoTBBQuCPZq5kfAdfw8kP7fhZ2rVqqUXVEh+jhtq0mjdsAPpvZ7Dm2XLlkm5cuUizOOKGiMuOvA5QbL2lStXatJ7BE4EUXzO8D5xQYbPES4Q8JrQopIxY0b9rOFzhs8u/kYI7NmzZ9cm+w0bNpjfQgEDWVyI/M36wnVZgcLsuVxWgHM9+uijLivAuKwvK1fSpEld77//vjnqcllf9i7ri8zVoEED3Z85cyayEek2YBtl7tzLOnbs6EqUKJHr+PHjun/p0iVXggQJXNOnT9d9wHNbQVK3rS86fQ3Wl6TugxUEXZkzZ77jdbvDe8Dx8+fPmxKXa968ea44ceK4rIsG3cfrsAKebnszaNAgl1UT1W2r5qvvAa8FrJryHe8Zr9X9HEGVKlVcVhDRbSvYuKwvdd2OSJo0aVxvvfWWbtvPH9nNChT6WE9W4Nbfe+vWLVPick2YMEF/Bufj5MmTrnjx4rnmzJljjrpcVi1Nj+/evVt/Dn9/vGabFXz0b2T/zSdPnqznxqrB6j7geVOmTOmaPXt2lJ7DGyuw33Uebfg84jnxt7VZFzeuXLly6fuzAqq+B/fPRL169VzJkycPf53WhZN+9vD3hIoVK7o+/PBDfdynn36qZRQ4WBMlR8BVOmoAgFqE9WWiTV/x48eXzZs3ay2sRYsWehxQ20Lznf0zvkBtMlOmTLqdLFkyvVlBR/cBzaiomcHixYulYMGCWotADRm37du3a+0moteAGkrdunW1NmLDKEzUfH2p7eF84PVZgVdruZ6WLFkivXr10hrutm3btLkYg7LsmrL1/y5WANftiHh7DN6H580K7uaod6ixo98Vv3vv3r0yd+5cPWeAMjRn4m9bu3ZtLQPU9G2oyVoBUWtwNtRY0Rphw98ENXwr6Ib/TfBz+fLl079JVJ7DG7RyoBvBG/s50YJhQ5cEapUdOnQwJXLHz+Mzhs8a/u6AWjHy09qfLbSKWEFWevbsqa0BFFgYRMkR8AWKvis00eELEP2E9oAiq+ai9xkyZNB7G/YRMHxl1SzN1m1WLcVs3Qn9dQgGnTp1uuN29OhR/QL0Bn1rCMSeUObr60azNn4WX7ieMMITgd6qTWoz87Rp0+7oH8yTJ4+ey4j6klGO586dO7cpCYO+Qc8bfk9k0K+KEb8IFkWLFtX+Qfc+TxzHMQRSm/u5sh+L9+LO/TOA58DFguff5NKlSxrYovIcntDXideEoOfN2bNn9R6jmiPj+dmK6HMFuHhD8EQTMgUeBlFyBPQV5c2bVwPBlClT7hhQZH+5IrC6w8AVb0HKmwedioHfgy9WDExyv6FWFtE8VvyM5/QcBDWURfV1e0J/LAYhYdCVew0Y7+/FF1/UEb6oKSGA41zinNrQT4cvdwRibyZOnKjHI6qF3Y/u3btr7QxBDq0ICE7utSzUzvAa3aeR2AEK7BYCz/Pn3neMYIiA7vk3wft+5513ovQcnlCb9xx05c7+u3leiGCgGn6Wgg+DKDkGBsUgOGCghT2gCDAJHU2iEyZMMCVhQeOzzz6L8Asfj8cXtw2jVB8Emh0xuhJzK20IAiVKlNCBLd7gtWH0qfsE+s8//1ybYiP7or4XNBuiSXLevHmmRLRGjFokmrhxQQIIYu6jQDGwCTVCDHyZPn26KQ2Dple8Dwx6cm9+9hWaWPEeceERN25cbcLFe7dVrVpVEiVKpE3ONtScbQj+qDnj82A7cODAHQNv8DdBUyiaWG240EJzLgZiReU5PKEpF5/DiGDwEgYBobvBhs8iRk57jrilIKE9o0QOsH37dh10Yw8ocjdr1iwdEFKnTh1Xv379dCBSSEiIywoeetxzYBEG7ODxjRo10gEbGLyD4+4DizwH9GDQjftAGc/HWIHdlThxYle7du1cffr00cEkhQoVumPgkDsMOLGCnQ4u6tWrl6tFixY6oMSqJZlH3N/AInd79+7V12K/ZwyisQKWK0eOHHp+2rdv78qaNasOvsLrtOFxOI5BPVaAcVm1V1f58uX1XPXs2fOOgUCeA5fc2ec7ooFFVqDW58T7w7nC3+vpp5/Wn9m6das+xroI0vOBgTyvvPKKywpOehwDi8AKSjqYC3+/3r176+cC78keFITXimMYSNS5c2c9xzjXOOc493Cv53CHAWw4pxH9PW2LFy/Wx+GzOGDAAP0MWAHbZdWkwwcWRfY5AvxNcX4p8MWzrkwDb600ipXQPIcmOPSFevbLYboEBoigyQ81LvS3oWZq902hVoOaB6YeAGqBaPpEH+CTTz6p0zzw3JiSkDZtWp2+gL461FpsGPiBqQp2/5XnYzARHs+PmiWaKDElBnMAI5oKgefB3ETri1trinitw4cP17mDNm+vwx2aV1GbwzxCd3guTJ9BLR2vCYOBrECkA67w+qxgqtNz0MSL94XnQF8fHof5iE2bNtW+XNQQUbvC+cHALfdBRehXRN+nfU7d2ecbr8E+X+6soKHPi5qhFbB1oBGmn1gBTP8u+FvjfaOJGTXmbNmyyZgxY3QqDKbE4HfjPWAAD57j6tWrOucUf1dMbcLnA6/VCoZSuHBhPb+YKoQmYyxegME7cK/ncPf777/reUV/cmTwczjX+Cyi3xXTbPBZRE0f5wLvz/28ePsb4/egNcFuNaDAFQeR1GwTERHRfWCfKBERkY8YRImIiHzEIEpEROQjBlEiIiIfMYgSERH5iEGUiIjIJyL/D90Zcy8jtd58AAAAAElFTkSuQmCC\"/></p>\n<p>starts at 1.6 <em><strong>AND</strong> </em>finishes at 13.6 ✔</p>\n<p>approximately vertical at the correct volume of alkali added ✔</p>\n<p>equivalence point labelled <em><strong>AND</strong> </em>above pH 7 ✔</p>\n<p> </p>\n<p><em>Accept any range from 1.1-1.9 <strong>AND </strong>13.1-13.9 for <strong>M1</strong> or ECF from 11c(i) and 11c(ii).</em></p>\n<p><em>Award <strong>M2</strong> for vertical climb at 28 cm<sup>3</sup> <strong>OR</strong> 15 cm<sup>3</sup>.</em></p>\n<p><em>Equivalence point must be labelled for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
+    ],
+    "subtopics": [
+      "reactivity-3-1-proton-transfer-reactions"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>Electron transitions are related to trends in the periodic table.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the general increase in trend in the first ionization energies of the period 3 elements, Na to Ar.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sodium emits yellow light with a frequency of 5.09 × 10<sup>14 </sup>Hz when electrons transition from 3p to 3s orbitals.</p>\n<p>Calculate the energy difference, in J, between these two orbitals using sections 1 and 2 of the data booklet.</p>\n<p> </p>\n<p style=\"text-align:center;\"><em>Darling, D, n.d. D lines (of sodium). [online] Available at &lt;https://www.daviddarling.info/encyclopedia/D/D_lines.html&gt; [Accessed 6 May 2020].</em></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing number of protons<br/><em><strong>OR</strong></em><br/>increasing nuclear charge ✔</p>\n<p>«atomic» radius/size decreases<br/><em><strong>OR</strong></em><br/>same number of shells/electrons occupy same shell<br/><em><strong>OR</strong></em><br/>similar shielding «by inner electrons» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔE = hν = 6.63 × 10<sup>–34 </sup>J s × 5.09 × 10<sup>14 </sup>s<sup>–1</sup> =» 3.37 × 10<sup>–19 </sup>«J» ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-3-electron-configurations",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>White phosphorus is an allotrope of phosphorus and exists as P<sub>4</sub>.</p>\n</div><div class=\"specification\">\n<p>An equilibrium exists between PCl<sub>3</sub> and PCl<sub>5</sub>.</p>\n<p style=\"text-align: center;\">PCl<sub>3 </sub>(g) + Cl<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> PCl<sub>5 </sub>(g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the Lewis (electron dot) structure of the P<sub>4</sub> molecule, containing only single bonds.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction of white phosphorus (P<sub>4</sub>) with chlorine gas to form phosphorus trichloride (PCl<sub>3</sub>).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the electron domain and molecular geometry using VSEPR theory, and estimate the Cl–P–Cl bond angle in PCl<sub>3</sub>.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reason why PCl<sub>5</sub> is a non-polar molecule, while PCl<sub>4</sub>F is polar.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the standard enthalpy change (Δ<em>H</em><sup>⦵</sup>) for the forward reaction in kJ mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>3 </sub>(g) = −306.4 kJ mol<sup>−1</sup></p>\n<p style=\"text-align:center;\">Δ<em>H</em><sup>⦵</sup><sub>f</sub> PCl<sub>5 </sub>(g) = −398.9 kJ mol<sup>−1</sup></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change, Δ<em>S</em>, in J K<sup>−1 </sup>mol<sup>−1</sup>, for this reaction.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATYAAACLCAYAAADrn7W2AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACUUSURBVHhe7Z0NWFNXtvf/b+qrjkEGGasUK0VpBsHqRBRuK74O6IC8VpkMnRmdUjooSPFjrFRbFSrjtR9Ia4miVq/1g4HSOq1iBi2jUIR6tZ0BiVytqRg/MFMRlUEKxKrF5O5zcgJJ+BAQKJysn08eT3Z2zjFnr/3fa+29j+v/GBkgCIIQERLhb4IgCNFAwkYQhOggYSMIQnQ0zrG5uT3OFxAEQfRVdLpv+b+thM1cSBBdDdkX0d1Y2hiFogRBiA4SNoIgRAcJG0EQooOEjSAI0UHCRhCE6CBhIwhCdJCwEQQhOkjYCMIeqS+GMuRlqCobhILeQA3UynBEq/4lvO88JGwEYVcYUK/Ng3LZYig194WyXkC9FvnK5QhXnhEKHo4+JGz3UKlWQRntx+8wNr38EK1UQV15T6jTHhpQqVrCvjsDSnW9UNYJ+IbYgoO9asQTG+a2Mrd3Cy95CtTtbgKhUysPo1Io6dVUqhDtNt7Gg6lnXs0M9tuXNPe26s8ije8fs5GgKmM1W+MnmLA8CXHOwtvuhv8dj0OuVLMWbZ1HJizGtjgP4d3D0UeE7R4qVK8iULELVbMyoNF9yz86UV60EePPvg1F4KtQVXRE3B4W1uE+34R5ynPoRWOeiBmLONU5vs2bvUpfgU8/odoDuYrPk5dDefaO8F5EGHRQrZiHxNzhiEz/L7wxS48P5LYDASeSV+Egm4IA2RDhiz3J9zjFi7LNvytahUoHGQICfg5HoebD0jeEzXAZubsPQx8chT8pPOEgFEtcJmPJykWQ6w9jd+5lNh4ThB1iqEDh2sVYmgPMTN2KtQGukPTzQVyp7UBwGjsVI4Uv/RgwTzHuiM2/ib12KuAi1Ogq+oiw6XFLpwdu1KDORr0kskhk68qQHenJfkwrYWaLrvAtnM3fiGgvYdQISUCGurJRHA2VxchImN00qnhFQZmvZe49Fwo8C7+lKlZLhaV+7sJ5uTCnEGmW3+FCgoxiVPInNf/bIqFUpSEhxLOpjlXYwIXcmRafeyIkIdMi3Lb9nAvH86Ctt3NZF8K2SOVei3bj7p3KdG8a1FDKn8HS3Gogdwn8eBv5Bqro8aztIxFtvp+hadAamrelV3QKVI328S/T9yJTkJUaBa/Ga5nb6Q60aeGsLBxpWkvvUCj3SkRhbRe1Fy9qL+HFtOsIXrcHGxRune/U/D3kfscWiykfZl+px6EtYyF8Y5mNzdZrUZiWgBDhXvF9RaUW7P7HoW8IW7/R+OUffYHS1xEaw4zpYFfctArmBX6LKSoNdOVFSPc7jQTFQmxS1zBjKUN6zAtIKAmCSqNjo4oGeSv/L3bMm4ekwjvwifsMRakKdg4FUovKURrnA0lFNlaEvoS9jyxDUTkbhcpPYv+KYchKiMPmY1WmS/J8DuX2S/DdXGy6biSQsTSKnZerwzqUejsiFetQ4vc+O48OmrzX8XjWSihiPjJ1OP7zTbg+cw9/nfKiJLgeWYLQFdmo+BENqXdQjaPKTJzz3QCN7hKK0iPYzWX3JukYankP5iukBjsDwVtQpDuCOB/B99dogLlZ0LA2y14XglGVXFu+gOTrv0ce1/6snba5FmCp2T7MHE1BwukA3kbKi96HX8k6KCK3Q13fHx7+QZDjJLJOXGmKJAxXcCLrJKRh0+Dj2BVdrxZl6euwUBC1jZFjG6OZzqOHJuMIbr2gQrnua6jiRiB3w1xMV+zFIy9lo7zRZtdhHyfafAgcjheT/425eawvcfd92ygcWfoHRG4qbmOer3vpG8IGJ/gseAd74maw0TYFyxaHws+djQzMy0pTHe7g4oEZV8xMiseLniyql7gi4LVExHlrsGN/KWpvfIPjpXpIJ47Hkw7cLXKEJzPYb3TH8VbAUNPXrbiDi7mfIkc/CXMj/OHCfUXigon///9BhnJ8dkpn4Sm6I2LVUihkputOjXiOdQBznWqc3P8JNNI5WLUikJ1HAgfPCOz8hglldiQ7lxb71m6FRr4IK5dM5q8jcQnEilVzgJwN2GoloGLiLJSKMYK3YP2ynZCWRizHSn66oj9cpv4Oc+VS6D9T40Jbs9bwwyzmsTmwNpPL++H41g3IwXNIWjcHnlz7W9iHci3zAM1KJW2qw7XDa28vhrfmE+w/WQ2JxzMIk7OxOOsrXBTqGy5+hazSRxEW9FQXzCVdwVebX4Ei8RD0Uh9MeWZkx0SNF/otULg0n6Dk7uEKLpxl/U4+69fMPllZWAQifV0gYfdiiiIQzjiD42evo/bYTqzmQmBzX+Lue8ASvB3nDY1yo0n82o0DcxoOdEm43EeEjeEgw/S4XfiGjaqqrVuQuu6PzIj+gsSl0VAELkVaWa1Qsb3I8PTYYU03wGEUJkx81NQJnH0wa6Yr9Bmv4RUW2qgKuRC0LQZCFpnJRqtt8L+aB5VKBVVWCmJCX0epUKMJKYY6DhSOWQMMdsIw4RgNOpz6rJz900ZjBC+oNgiC6xw4HqMaP5bAcYwP/JsJqJhoffGA85Ytu+aAoY4YJBxDMghOwwYIb9rAeTTchgpnMfwb5WdusjaYgLEu/U1lHIJ9QHsJV81hv1UdNgg9OR4TpUI7SGQIe2UOpKV/w6FSzstjg9+JPJRKpyHIpyuWI0/h4wwN/P8Ui2AcQuLLacxT7BqX3fIemuzTGf6+Hi2I8T1cL7/IfDybvsRqPjlhHLP0K9Be/XF8tr4jbGbYqOozW8Fc/rdwmIWI+anz4a0/hOR0NXPMO8IQOA227BID4ThUajqUuEGxIRPpqS9h+JE/Y+mLgfB+wNYSQ2U+EkN8Mf3FN3DoMhulmGG/sO0/mdF1gmFOGNxCyxjqanCD/V2tDMVoS8/FbwlyTVWIh8U8n9usDQT70Fej5rYgILZ1BjliaKOOsgHHZxrCpMWmKKDLw1BXU/j56mtYl/QcpJp3EN7j0xENqLvFRQm2fUnCboUTBrAeeb3me6GsZ+l7wmaFI2Sh4e0MNx7EHdRWMYM2wy0/K6Lw1uEy6DQFSF8XhG+VSxC++csWBLQKxzb/GWlXQpD6j+PYGTcXCsVsTB3xCC9EHebkJVS08FtMo6cU8nX5KG+H90J0AokUQ9yYgDVbqBLsQ+oMp0GtdJvbtai6KxxzOD6FoDB36LOOorjkeNthaG0hErweh1dCYTsHaCF8ZqGfq+I/kRnnC33O21iXrWua0+t2+mHwEG5q5hZq6iwN1sBuRQ3usl863OknQlnP0geEzcDaPBFeblOQwE+w2yCEG9JnffBki72aff+cGieEd02UovicxURw7dfIyypv+TycyEXGIjbYGfoz5bjezHK+R811Zo5WoYkB9VcvQSu8axf93DDhWXfgbg1qzV6BJcO8MMVm3obDoE1DqJsnQtPKetCoRYrkZ3Afx4Wcp3DW0juvv4xTJVyIajFNcEKNc42rm8zO1EeRpXfHsxPchAFmKKZGRkOuV+HdNXvaDkMFb8/SvhoqLuFku8SBm4OOR5z3d8hZ+rL1Ake30h/D3T3YUKvFP87esLC9Wlw4dYaFqE9ANuLhlzM6Qx8QNubST41G0sx7yFi40noZ2VAJdcZ2bD8xGStf9GEm0A/Dxk6CHGex4/0DKKs3sCr/QNqHh9lNtqUcGetTodIyQeKWzDe8hwxuwnjxZDhUqBDrZbFVgBOpskIcOnEX3oFj8VjjXdPicsUNXNTexoixHkxxzPMp3JaMj5G8/q/8de9W1eI2X/9BOGPSc79nofVfsX5Dgel3mneTc1sE6p9A8PwQSEvfR/KWL/nPDZVfYkvy+yj1Xoy1v5X1dRe8Z+A84hodtC1OKzAxWrwCM7EfqxP/ytsQbx/vrINS4424tQrIzDeZa6fkbN5GDJUF2MDaGzNXYPHUpgUm0yLCXWg0bNBsKwxtXPkXbIhd87iqANXtnZNzmIgFm15HMAt9lfHpXTbf1jbmvgnkrH4b6fw8N7P9wi2IV2rgHbcMv5U1zSf3JH2jH3BzXu9nQ/XOZFRt/4NpRZSbW3IPxftVcqzKfgeR/IoMqyp7Hjv2vw7/E6sR5O0G98BduD85CN78p5ZMQMSMu9g+3Zudxw8vFk1AavYbULj2h8R1JtZmJmPG9bcxnZ3Dzc0N3kGfYHj8h0h72Ze5/0xAn34eK4JvQalgIUHaNXguWI/UiAb2/ilWfzT84jWQvZqEOC5MbtHLawkJHHxikaZKxMSiRabf6R2GvcMXIT17BQIcB7Kw410UqF7G8Jx5/OfufvOQM/xlqNJi4dPSgoMoaH1VtGOPxg3H0y8tQvDdFCjGP4+0c98J5dZIXEOxIftDrBz+CW9DnH0srAhEqmobXvZxEmoxpM9gYsMu3kbc/VajYsYWZG8IhatlM0iegH/YJHbg/oDVUPPKvzN2cDbEXzMIe/h2b0+7civoc3p+vs08H73yZ9gbxPoSZ/sLL2NG6sdCX/lxoCxVRI8gLvviNug+i6UnI6E6+aBHurhNuVGYnuyB9H+ubadIEZ3B0sboLhNEN2KoPIGMvWfgHTMbk0jUegy60wTRLZgeu3L3W4SiieuwecHEHy0ss0coFCV6BLIvoruhUJQgCFFDwkYQhOggYSMIQnSQsBEEITpI2AiCEB0kbARBiA6r7R4EQRB9GfN2D9rHRvQIZF9Ed0P72AiCEDUkbARBiA4SNoIgRAcJG0EQooOEjSAI0UHCRhCE6CBhIwhCdJCwEQQhOuxA2BpQqVrCb95r/motCXIttIWfQsllhzLX9YqCMuuYkLWKg/u/7MNN2aMaU7C1A4MOqtgpCFEWPyC7vBnTdbxiVT2cDJdoN/Va5Cuj4CXYild0ClTqylZSIRpQr05FiNsSqCpbSoRbA7XyN3CLVqFSKGmO6X/nbbJjm5c8BeqHyrHb97Ejj02B1KJyfmey+VVelATXIyuhiPkIWrMVcqnWEsMxfeFh4A+Z0PB1L6Eo3RdnE55H6LJMU0q2TmFA7bGdWP3FNKyKau9/FT0Qst8uQ0z5hh5Ohku0C26gWhGOeUdGIClfA115Eba5FmCpYmEL+T25NI6ZWBb+DjRCiTW1KEtbhXA26LXNSCh2nrayZZ3ua6jifNlnExC5cS7kdp45265DUYlLIFasmgNp6cc4VMr5T/dQkZ2MhWn9EJf5HuKmywTx6Q8X3xikbJsP5L6JV/dpOycw9SXYtV4F2cpwTO1IYg+HcZg19wnkbFehtEfyRRLtxXDxKHbnfAf53HCEyhyZUbkiYFEUglGMv3xxicULAnwO3DV4/t1bmBzmKRQ2YagsRkbCQrx7T46wdqQRtcVQUYgdO4ohjViOFQGudj/HZOe/X4JBjk4YAD2qau8w67iM3N2HoZf/GrPkFvkjebjksIuQuTUZC8b/VCjrCMxbO3kQOzTjEOb/hMWNZ2FvfiqivYQwIiQBu/mwxjJfJvPawhYg4son2H+yWigjegMSWSSydWXIjvRsozM1oDL7TSgyf4JX3nwB8qG27tS/kP36YmQ+Mh9vRvqhKd1ye6nCsa0bkCMk/G49d6n9YOfCdgeXT5egWkjFb7j4FbJKAXnYM/Bo6c5IXOAzW4HZPi6duHHVUOcdZaIZBH8Pc3Zs5iGq1iB0Xh6GJ+WzsJeFvKt+gk+UR5pnrnd4DDLZTWTlfc2kkOi11JdBtXkXcqXPYe2cp2CSMAkcxsYgf188Alz68yXW/BRjF32Mfeumw6UTPdKgPYSUjJvwjnkBv3Jt6fz2hx0L2z1Uqvcjbe9JSGf+DsFMbAx11dAx/22Y06CuvzENOpz6rBzSce4Ybj654CGChQ8rFZ4s7GUhb0AsVkW4CxUskIzA+EB36LOOQt2RxQqihxAWk7ynY2nGdQQvnIOnG0WMCZtsPGStZup3hMzHo5Pp+WpQeuhvKMUkzJ01jlL8CdiRsKmw1M/dYvVoNPwUe4G5/4XsDaFw7e47UaXD2Wop87oeazQ+k4c4AP6+HhbhgzN8gqZBKrxroh8GD2FBir4aNbdJ2HofAyGLzOQn8vlFqZx5CFzUAyvZtaXYv6OYhRmWkQBhR8LWfFVUpzuItyIDGkfSfq6j2bh3FzdqbnfT6qO1N2jyEG0xz/vZwoTNaYhwTPRmJC7+iJg7CfqcT5F78Y5Q2j00XFDjM7209ekTO4VuhSXDvDBFDpRmfYWLLSqbAfXaY1AdVKOyU8pnLZqSwc5wayakBtyurWGltjSgruaWcEz0bsyDUBVu1XXnhjLzHPEkmwUpgu6FJZJRCJ4fAmnp33CotJU9SKELsP3CfbQ0XWKo/BKp/KZeT4Qk5luL31A3jHXWQ6u91rgxV+LxDMKYkFqWcaukF06dab54wAnbrSpA6gynQdRsvQMDagsT4eU2BQmFrG0aEQYh6RiManGxoKu4ibPHzwDOEzF+FIWhllAPsaI/XENXYltkA5Thy6HM1wqCw23J2IJlitU44f86Ni3gNtcOhId/EOT6Mzh1gVunvIOLh3cgZ+xWaMqzMbd0Iz7m98YJ9HPDhGfdoT9TjuuNLptJSJHxHpJVZexa91BZuAXxLW3QNFzF6YJySMOmwacje+CIbkQCx0mzEeN9E1kf/l3YuM159YeRtvdM969SNtzEZW77z6TRcLXzDbm2UA+xhdtgufYDqN6ZjKp3Z8GbX2jwxvQl/4Oxb32E7I3h8BTcNYksDO+ljsMRxSw2YtdDFpmGw3G+cLhdi1v3foYhgy2tTVgUKM3DicZ5FyakijeQvScI11dPZ9caDb/1dZgRMUH4vAnTQsOjCAt6ivYp9SYcfPFy2sdIGlsIhbcbsxU3eIcexNBX92MfZwtCtYelQZ0Cudt4RKv+JZQ0IR3uhEHCMSHAJXPhGDlyhHBEPBTXDhij2L0cE7XNWHTtrlAoUFdkTJkxzjh7zznjfaGoOT+wUyxm7bHYeODaD0LZ98bze543jpyxyVhS1/o3ezNkX0R3Y2lj5LF1NS4K7NRdQv6sb7Bg85fWm2kdfoE5sYHQJmfiGLcXrbYQCV7cQ9MZFmHMIWzengfpzF/Bb5jg8dWfwaG9VzAzVgF5q3uhCIIwQ72ky6hCYcIMIVToBwenlh674ubwliPpl0exflcJ6h0n40+ZWxCDzQgyhzHTd9nsrbsD7b6N2OG+AomhbtRgBNEOKK9oF2KozMfayEVI0+ghDX4d6W/Oh2+3ror1Hci+iO7G0sZI2IgegeyL6G4sbYwiG4IgRAcJG0EQooOEjSAI0UHCRhCE6CBhIwhCdFitihIEQfRlaLsH0aOQfRHdDW33IAhC1JCwEQQhOkjYCIIQHSRsBEGIDhI2giBEBwkbQRCig4SNIAjRQcJGEIToIGEjCEJ02IGwNaBStYTfldz85YdopQrqyntCXTO10BZ+CiWfI1So6xUFZdYxaPncBBx3oE0LZ+WJKOTyF7QXgw6q2CkIURZb5BJtC9N1vGJVqOjAZYgepF6LfGUUvARb8YpOgUpdCevmuodKdSYSQjybbC/1y1YSbxtQr05FSCtZqayoVCHabKMWL7lSzSzffrEjj02B1KJy/pEL86u8KAmuR1ZCEfMRtGYDM1SgMDEc0xceBv6QCQ1f9xKK0n1xNuF5hC7LFBKvdAYDao/txOovpmFVFJebtD0MhOy3yxBTvgHrsnU2nYX40eEGqhXhmHdkBJLyNdCVF2GbawGWKhZik9qcdJsTqu2IDP9vyDYVC/YUim83zEMke99sgKsvwQfxW6ER3rYOs6dzapzAL7Eu/4KVbZfG+cCeU43adSgqcQnEilVzIC39GIf45Mb3UJGdjIVp/RCX+R7ipssE8ekPF98YpGybD+S+iVf3aTsnMMxgd61XQbYyHFM7kvTYYRxmzX0COdtVKO20qBLdgeHiUezO+Q7yueEIlTkyo3JFwKIoBKMYf/nikslrMmixb+1WXAmbizBPLisss6eAWKyKeBSav/w3zlu5VjVQf/A2lBq98L4t7uF6+UXopR5wH065NSyx8zk2CQY5OmEA9KiqvcMM8DJydx+GXv5rzJI7CXXMSOA4dREytyZjwfiWMlA9CDa6njyIHZpxCPN/wuLGc1nmUxHtJYQRIQnYzYc1M6BUm8dy5rWFLUDElU+wn8v8TfQaJLJIZOvKkB3p2WpnajnZ9VAEvHUcutJX4NPoWnGeXTrilcCiuLlwFkpbpx5XtVcAfx+M6chAaQfY+d24g8unS1CNJyAb4SAYICAPewYeLd0ZiQt8Zisw28elEzeuGuq8o0w0g+DvMVAoYx6iag1C5+VheFI+C3tZiLLqJ/hEeYRJrQ0Oj0Emu4msvK+tc5USvYv6Mqg270Ku9DmsnfMUHw4a6qqhgxRONSeR2jhvOxsJGcXWc2x8CLoTiItH7C9dhcI2aNDh1GflkDYcxCrzwNjSee0QOxY2bjJ3P9L2noR05u8QzMTGZIADMMxpUNffGLMRjnPHcPPJBQ8REcuxUuHJwl5ziOIuVLBAMgLjA92hzzoKdUcWK4geQlhM8p6OpRnXEbxwDp7mUy82oIoNWNU4i82rPwVeykY5P7+7DI9kRlnMsQkhKKLx9oL2zb8aLp9GAefA9wvA6mKdaX5Nsx6yL+JanruzI+xI2FRY6ucujGrcazT8FHttkhN3I1U6nK2WMq/rsUajNXmIA+Dv62ERojjDJ2gaG99t6YfBQ4YC+mrU3CZh630MhCwykxcXflEqZx4CF1muZLtiZtKfscTX5O1LXPwRMXccNDsO4mRtQ2MIGvf2i/BpZ7Z/Uxj8Lb7ZGQFP83ccPBEySw6NciP2ae+YyuwQOxK25quiOt1BvBUZAJlgFP1cR2MS7uJGze3OLQ48EGtv0OQh2mKe97OFCZvTEOGY6M2YRGsS9DmfIvfiPQxycmYD1RB4ujlbdDihPfX/xCn1F40h6AIf27ndzlKFW3X2u+HDjoStHQzzwhQ5UJr1FS62qGwG1GuPQXVQ3ck5DGvRlAx2hlszITXgdm0NK7WlAXU1t4RjondjHoQ4cTHAYcRoyEwftMBQSMuP4y+aauZl/QbeQkQxWpHCwtdq5C59Bm7RKlQKtYn2QcJmiWQUgueHQFr6NxwqNe9BMsNErSwTy0IXYPuF+2gxWqgtRELjJK7lqiZjqBvGOuuh1V5rnPuQeDyDMCaklmXcKumFU2eaLx5wwnarCpA6w2kQNVvvwMCaPBFeblOQUMjaphFhEJKOwSiX/pAMd8c4aTkKTl+1GMDMdTzw87A1KLWKJL7FJdUrcGZ/glO/gm6nAi7Ct5p40LX/AxOeHCSU2R/UQ6zoD9fQldgW2QBl+HIo87WC4HBbMrZgmWI1Tvi/jk385O5AePgHQa4/g1MXTOuUhuvlOOO/BUW8cR5BnI/FFHA/N0x41h36M+W43uiymYQUGe8hWVXGrnUPlYVbEK8sFipYYLiK0wXlkIZNgw8t7fcSJHCcNBsx3jeR9eHfhY3bnFd/GGl7z8A75gX8yrU/4DgZi5NCoE1+H9kV3FMu5jpXMDMpumN7Ghtp6drszJUnkPFQ5xUH1ENs4TZYrv0Aqncmo+rdWUJo4I3pS/4HY9/6CNkbwxsnaiWyMLyXOg5HFLPYqHkD9VcvQZu7BH7sO17R21Fs9aiWsChQmocTF82TukxIFW8ge08Qrq+ezq41Gn7r6zAjYoLweRMt74UifnQcfPFy2sdIGlsIhbcbsxU3eIcexNBX92NfnG/jBm++nbd44ND00RZ19mCDwq39nbBBDaWc2aM5NG127cfhHvgRhnT0vGKEy1LFMXLkCOGI6BzfG8/v+aNx9p5zxvvsz3cFa42/4Y8tqCsypswYJ9RpjR+M1w4sZu2x2Hjg2g9CGXfu540jZ2wyltS1/s3eDNkX0d1Y2hh5bF0Gt9yfJuxA51Y2B6PCau6M4fALzIkNZCFJJo5xe9GEOTmv6AyLMOYQNm/Pg3Tmr+A3TNiSXn8Gh7jwIlYBeTu3AhCEPUO9pMuoQmHCDOF/Y+BWNuvgarFnzQQ3h7ccSb88ivW7SlDvOBl/ytyCGGxGkDmMmb7LZm/dHWj3bcQO9xVIDLXz8IIg2gklTO5CDJX5WBu5CGkawDsiGZtXhzbukbN3yL6I7sbSxkjYiB6B7IvobixtjNwJgiBEBwkbQRCig4SNIAjRQcJGEIToIGEjCEJ0WK2KEgRB9GVouwfRo5B9Ed0NbfcgCELUkLARBCE6SNgIghAdJGwEQYgOEjaCIEQHCRtBEKKDhI0gCNFBwkYQhOggYSMIQnTYkbDVQlv4KZTRfvwOZf7lFQVl1jFohdRl/H/DnRbOyhNRyOUkaDf3UKF6GV4hqVA3nqstTNfxilWhoiOXIXolhspiZCTMtrYrlXVS7QfX4fJd5FnYpx+ilSqorTKdNac917ZLuEeqOESdRej+VWPBmlnGkWPmG1M+P2+s4wvvGq8VbTNGjRlhHBOVbjzHZ38SskGNWWMs+K4D2aC+KzDGj/E3xhfcFAraAZ+xyt/40oErbWSsEg+itS++HX/ObGibsejaXVbwnfH8gTXGGSN/bpyRUmSytXbUuX/1gPGlMex9/AHjeWaL9699blzDvtN2ZrKbxoJ4f1ZnjfHA+e/Ye2bTBW/w5207E5o4sbQxOxC2u8arB5Yax4xUGFNKbgllZrg0eWvYZ2ZD6Iyw3TKWpCiMI2fvMZ7vkCX1/ZR6HUGc9mW2n2BmW6bh0oQgOLwd/dCOOnqTLYx83rjn/PfC5+Y0jLbfs4AfUG1E7P45457ZTBCjDhivCUX2gqWNiT8UNVxG7u7D0Mt/jVlyJ6HQjASOUxchc2syFoz/qVDWQWpLsX+HBvKwZ+DReDdtw4rZSNj9LqK9HodcqUYDX2cgZGELEHHlE+w/Wc2XEH0NZj8B6/CNbdZ/1raOQ6WAvho1t9GOOv0hi8yETpeJSNlA4fMH03BBjc/0j2Kc+8+a5pQkIzA+0B04oca5Dk2niAvRC5spgzpshMcCiQt8Zisw28elEzfDgFr1UWTpJyHM/4nG7xsqsrEidAmODI9HvkaH8qJleOSTncjVCxXMODwGmewmsvK+Rq1QRIgAw1WcLigHnEfDbaiQG9aWNutY5pddiDly6ySOJrgUjzW4CymGOlqKYT8MHjJUEEwSNtFiqKuGDgMwzGlQN/zY27hw6p/QSz3gPry/UHYHF3M/RQ7mYNVKU/o9iUsgVqyaw0zQBmF01WcdhdqOR1dxwUSp9Aj2coPpsmchb1HX2qhjKENaqBe8py9BxpUpWBj1NFxaNFwmbDXVsB0reWFzGiIc2y+iF7bu5RZ0Z68BstEYYc4fariCE1knAX8fjHE0314WsvhMQ1gzZaPRVXTUl+CD+K24MjMZ21/0bLmDtVVH4onI7DIWll5C0bZRyHkuFItUOiZjREcQvbD1cx2NScxhv1Fzu/uMY5gTBpvvpEGPW7rm4ygGOWLoAOG4ERpdRUX9WaQtWwwlFiOzMZO/De2pw9MfLlN/h7ny75Cz+yguNjNeCQY5OTePAtCAuppbwrH9InphwzAvTJEDpVlftWAcHNx8xjGoDj7E3p8bNagzf1cixRA3Zm6WZRy3a1F1VzhuhIxQLBgqv0TqsnlI/DYU6Wmx8DF78Ba0p44VkkFwGsZGQ121tS3xMGFzdMIAFoxW1d4RyjiYTd2qAqTOcBok/u7dGuL/5ZJRCJ4fAmnp33CotEYoNMNErSwTy0IXYPuF+2jJzgyV+UgM8eRXN72it6PYasPkELiNfQzQXsJV88ZcyRPwD5tkXcZd58JplDRz5MgI+z6cDWUgJvD32MAL1msIcDHPt5p5UJ0qFCZMab4x3HAbNTfuQvr06Bbn2fo96YNnpTdxpvzf7AoC5kUJy+kRO8QOfnl/uIauxLbIBijDl0OZr0U9X14Lbf4WLFOsxgn/17FpwUQ4YCA8/IMg15/BqQvcOmUVjm3eiBuxeSjXfY3MsQV44/DlJiPCIDw54T8g1V9E+XWz4LFzBP8OM/FXrE/O5p9qMFQW4J34rdAINRoRjFAaNg0+jfNxRF+CXwFnNpSL55C6uyVRa08dZ0x67vfw1h/Gh1nfNNlndib2lnojJiag5ZDV8SkEhT2K0mQl0ss4ezV/56eYOX9ay7sA7AVhP5uIN+gK3L9mLMneaYzndnOz38q/uCcR9n/B7/Ruwrwr3PZJAm5D7R+b7+huaZMkO6o7n2tMifIVrjXLGJ/yGjvnCOMvUkqMP5hrnd9jnN3sOuJEnPZVZyxJCW6yp2YvbnMts7sH1uE24N41Xis5YGEz3BMxm4yf808UCPxQYkz5BfvMYvPt/WtFxvT4WRbnY7aWXmS8Jv49383gfr8Z+xG2h4R/xCUqyVjAPxJjSTufPLh2wBg1cpwx6oBOKKAnDwiiK7G0MYp/2kP9WaSv/TtGv7qohTDCCfI5f8RM7U6kHati783zJbFI48MDRn0ZVJt3IVcaiFl+w4WyMzi09wpmxiogt+O5EILoDqhHtYlp0jd6ymYgLhGRno5CuTUS15lITJqIrPUfQV3vjKl/SkVqzA9IDvI2PVLlHYrteA7p2W9A4coJ4x1o923EDvcVSAx1o0YgiC6GEia3BbcLXBGKxNKm5UznuGycjPNBKw/KEK1A9kV0N5Y2RsJG9AhkX0R3Y2ljFAURBCE6SNgIghAdJGwEQYgOEjaCIEQHCRtBEKLDalWUIAiiL9NsuwdBEIRYoFCUIAjRQcJGEITIAP4XYueGCHrZiWsAAAAASUVORK5CYII=\"/></p>\n<p style=\"text-align:center;\"> </p>\n<p style=\"text-align:center;\"><em>Chemistry 2e, Chpt. 21 Nuclear Chemistry, Appendix G: Standard Thermodynamic Properties for Selected Substances https://openstax.org/books/chemistry-2e/pages/g-standard-thermodynamic-properties-for- selectedsubstances# page_667adccf-f900-4d86-a13d-409c014086ea © 1999-2021, Rice University. Except where otherwise noted, textbooks on this site are licensed under a Creative Commons Attribution 4.0 International License. (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/.</em></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the Gibbs free energy change (Δ<em>G</em>), in kJ mol<sup>−1</sup>, for this reaction at 25 °C. Use section 1 of the data booklet.</p>\n<p>If you did not obtain an answer in c(i) or c(ii) use −87.6 kJ mol<sup>−1</sup> and −150.5 J mol<sup>−1 </sup>K<sup>−1</sup> respectively, but these are not the correct answers.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the equilibrium constant, <em>K</em>, for this reaction at 25 °C, referring to section 1 of the data booklet.</p>\n<p>If you did not obtain an answer in (c)(iii), use Δ<em>G</em> = –43.5 kJ mol<sup>−1</sup>, but this is not the correct answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression,<em> K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, with a reason, the effect of an increase in temperature on the position of this equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"109\" src=\"data:image/png;base64,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\" width=\"282\"/></p>\n<p><em>Accept any diagram with each P joined to the other three. <br/>Accept any combination of dots, crosses and lines.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>P<sub>4 </sub>(s) + 6Cl<sub>2 </sub>(g) → 4PCl<sub>3 </sub>(l) ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Electron domain geometry</em>: tetrahedral ✔</p>\n<p><em>Molecular geometry</em>: trigonal pyramidal ✔</p>\n<p><em>Bond angle</em>: 100«°» ✔</p>\n<p><em><br/>Accept any value or range within the range 91−108«°» for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>PCl<sub>5</sub> is non-polar</em>:</p>\n<p>symmetrical<br/><em><strong>OR</strong></em><br/>dipoles cancel ✔</p>\n<p> </p>\n<p><em>PCl<sub>4</sub>F is polar:</em></p>\n<p>P–Cl has a different bond polarity than P–F ✔</p>\n<p>non-symmetrical «dipoles»<br/><em><strong>OR</strong></em><br/>dipoles do not cancel ✔</p>\n<p><em><br/></em><em>Accept F more electronegative than/different electronegativity to Cl for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«−398.9 kJ mol<sup>−1</sup> − (−306.4 kJ mol<sup>−1</sup>) =» −92.5 «kJ mol<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔS = 364.5 J K<sup>–1 </sup>mol<sup>–1</sup> – (311.7 J K<sup>–1 </sup>mol<sup>–1</sup> + 223.0 J K<sup>–1 </sup>mol<sup>–1</sup>)=» –170.2 «J K<sup>–1 </sup>mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔS =» –0.1702 «kJ mol<sup>–1 </sup>K<sup>–1</sup>»<br/><em><strong>OR</strong></em><br/>298 «K» ✔</p>\n<p>«ΔG = –92.5 kJ mol<sup>–1</sup> – (298 K × –0.1702 kJ mol<sup>–1 </sup>K<sup>–1</sup>) =» –41.8 «kJ mol<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>If –87.6 and -150.5 are used then –42.8.</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ΔG = –41.8 kJ mol<sup>–1</sup> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>-</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mn>1000</mn></mfrac></math> × 298 K × ln<em>K</em>»<br/><em><strong>OR</strong></em><br/>«ΔG = –41800 J mol<sup>–1</sup> = –8.31 J mol<sup>–1 </sup>K<sup>–1</sup> × 298 K × ln<em>K</em>»<br/><br/>«ln<em>K</em> = =» 16.9 ✔</p>\n<p>«<em>K</em> = e<sup>16.9</sup> =» 2.19 × 10<sup>7</sup> ✔</p>\n<p> </p>\n<p><em>Award<strong> [2]</strong> for correct final answer.</em></p>\n<p><em>Accept range of 1.80 × 10<sup>6</sup>–2.60 × 10<sup>7</sup>.</em></p>\n<p><em>If –43.5 is used then 4.25 × 10<sup>7</sup>.</em></p>\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> =» <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>5</mn></msub></mfenced><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>3</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi>Cl</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«shifts» left/towards reactants <em><strong>AND</strong> </em>«forward reaction is» exothermic/ΔH is negative ✔</p>\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(vi).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>Phosphoric acid, H<sub>3</sub>PO<sub>4</sub> can form three different salts depending on the extent of neutralisation by sodium hydroxide.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate an equation for the reaction of one mole of phosphoric acid with one mole of sodium hydroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate <strong>two</strong> equations to show the amphiprotic nature of H<sub>2</sub>PO<sub>4</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the concentration of H<sub>3</sub>PO<sub>4</sub> if 25.00 cm<sup>3</sup> is completely neutralised by the addition of 28.40 cm<sup>3</sup> of 0.5000 mol dm<sup>−3</sup> NaOH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reasons that sodium hydroxide is considered a Brønsted–Lowry and Lewis base.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>3</sub>PO<sub>4 </sub>(aq) + NaOH (aq) → NaH<sub>2</sub>PO<sub>4 </sub>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept net ionic equation.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + H<sup>+ </sup>(aq) → H<sub>3</sub>PO<sub>4 </sub>(aq) ✔</p>\n<p>H<sub>2</sub>PO<sub>4</sub><sup>− </sup>(aq) + OH<sup>− </sup>(aq) → HPO<sub>4</sub><sup>2− </sup>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept reactions of H<sub>2</sub>PO<sub>4</sub><sup>−</sup> with any acidic, basic or amphiprotic species, such as H<sub>3</sub>O<sup>+</sup>, NH<sub>3</sub> or H<sub>2</sub>O. </em></p>\n<p><em>Accept H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sup>+</sup> (aq) for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>NaOH</mi><mo> </mo><mfrac><mrow><mn>28</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></math>»</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></mrow><mn>3</mn></mfrac><mo>=</mo></math>» 0.004733 «mol» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>004733</mn><mo> </mo><mi>mol</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mrow><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac></mstyle></mfrac><mo>=</mo></math>» 0.1893 «mol dm<sup>−3</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Brønsted–Lowry base:</em><br/>proton acceptor</p>\n<p><em><strong>AND</strong></em></p>\n<p><em>Lewis Base:</em><br/>e<sup>–</sup> pair donor/nucleophile ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.2",
+    "Question": "<div class=\"question\">\n<p>Explain the general increase in trend in the first ionization energies of the period 3 elements, Na to Ar.</p>\n</div>",
+    "Markscheme": "<div class=\"question\">\n<p>increasing number of protons</p>\n<p><em><strong>OR</strong></em></p>\n<p>increasing nuclear charge ✔</p>\n<p> </p>\n<p>«atomic» radius/size decreases</p>\n<p><em><strong>OR</strong></em></p>\n<p>same number of shells/electrons occupy same shell</p>\n<p><em><strong>OR</strong></em></p>\n<p>similar shielding «by inner electrons» ✔</p>\n</div>",
+    "Examiners report": "<div class=\"question\">\n[N/A]\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-3-electron-configurations",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>White phosphorus is an allotrope of phosphorus and exists as P<sub>4</sub>.</p>\n</div><div class=\"specification\">\n<p>An equilibrium exists between PCl<sub>3</sub> and PCl<sub>5</sub>.</p>\n<p style=\"text-align: center;\">PCl<sub>3 </sub>(g) + Cl<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> PCl<sub>5 </sub>(g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the Lewis (electron dot) structure of the P<sub>4</sub> molecule, containing only single bonds.</p>\n<p> </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction of white phosphorus (P<sub>4</sub>) with chlorine gas to form phosphorus trichloride (PCl<sub>3</sub>).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the electron domain and molecular geometry using VSEPR theory, and estimate the Cl–P–Cl bond angle in PCl<sub>3</sub>.</p>\n<p><img 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AQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQzTNcF4TkM/TTW63deszU5sqQ84D9ULBIuXaj7uz5QtUOXu/QIVfBdZzPL6AapxdV921GLOpqApqg2+h3qpgZQAAQMvQ9M+cV7+t9YHjzp2oz7V383qVOPfQFNWo4s/zNca3W+ecPQAAAM1d0w7n3+mr9ISj+qDs7zrv3HlovzavCCo9PdXZAQAAAJivaYfz1Ps0asSNKlnxV+2NSeehvX/ViuAQjfrhd509jqqgNhXNUE6k3MUuiRkrnz+gigurYhxnVRFYrhk5vWrbuzNV4FuvYFXsE+Lb9FLOjOUKVJy9SMnKp/IX9JPbM0+BBqs1KhXcVBTTn3XLmaHiQIXzAcR5fk6+CqJtcosUbGgOkbKQsepTd1wL5SvIPG/sUMU2Fc+4r26sPgULtCFYWftgRMjqZpOKzmszT/4LjmeGXqkby26zRNuCu+LG95+3dhcfu0oB373KnOC3tv2akJlau4aR9bT6Kcivfw3tW/z8Q3tUlNtLfWZsslbT7ivbajdefspjAACA4Zp4WUsX3Tb0LiWUrNfmvZ87+47pnaKXFRzx77qtQytnnyVULv/khzS68O8atb5U5eWfaOtL3bV2wv9R/vxtVoSLZ4XSwBLle+fr8LCl2lr2mcq2Pq8ua8crd/IqHYyEwWib2dqRudhqU67S9f+hbiumyPvo7xS87HqMszrof0a5o9/U9VM3qqzcHvN1Te62XjMeWqx3YmvrS0ulUStUWrZdq2bnqGf8K+nMd8zarnp+gzXfso2aev1a+dYddBpYqrZpfv7Deu7wvXpz6ydWm616qct6jcl9Rv6D1ocLS+jgKk3OfViFh3+o9aXlTpuNmuB9XPMDJyNtIkrf0OsnHtRGew38T+vmdc9q5N1j9Pvrx1r7rLVelicVT9FTbwRrQ/0lx26tjEmrtXWB12ro1YKtZSqZlKHaV7NapZvbRl7Dsq1+/fxhj3Te628ds/3hrORGjRj6XSUp0eprrfV6L5Q3Jeb9AAAAYKAmHs5d+kbGXRqRsF0rNu+vDX2Vf9P6FbKC2S36RqSNLaTKd17WtDXSsOena3SvJGtfa6XcOV7PTUpXqe9XeiNYH+4iQkG9MWuRSj1PaMr47ynFWilXyhBNnvqAtGauFr1zzGp0XNvffF2lCQ9o6uQhVhuXEnvl6eUPP1P5qnylXV/bVaOF9mndK39StWek8m7vEnlxXCkZ+v7gNCuTvq+dH5+ubReRqeE5vZToSpHHk3LBCxna+7ZeWdNaeVMnyJtmzdfVRXdOfkp5CU4Dfa7gG7+Sr3SApkzJ18CU1vVt9KamLdqiSvuDzqK5WqORen72A+qVaC+C1ebpmZqUXirfLH/9GevYNfBka5THGighRw/nD7L2WWs9eJiyO1Sr5N0PdaRRY19CVo5yrNfQlTJAD425Xx7FvP7R7xsk3KWhGR0iewAAAJqKJh7OLUk9NTCrjVPaYoXwwNtaofhgdlaHy/aqWmka1LdTzKST9O1bb1GC9it4IO7c+ZEP9W5JtToM6afudU9wKal3hrJUptU7y1VTU66dq8uktB7qagfXr8rVS/mr9qj8d1k6sMovv9+vFb5xyp35F6dBjA495O54sTPB0S/EejSwd7Kzz5L0XQ0dEa3DP6pd735g9dNf/bq3dfZZIuvZQdWrA/r47N9V9sFRa363qq8doKMSu+vW/jdKwU90IFqm0iZZSe2cNXC1U3KnNlaIzlDvpIbWpRFjX6ICpUNftzo626604Xoy70aVvLZWJfaxRL5vsF0JI+5SRoNjAwAAmKsZpJcb1XfwLVLJdu06ckSB9W9LFwSzGp06YZ/pvkHJ7WMDrUvtkpLVRpU6fPKfzr5aoVMndcT6/7gvVz1i65szx2tdbZN6nZLV/oqs5FlVbHpWOelDNHraW9pnZU1X9wf10uzhzuONFZ1vvLZK6uicOg+d1skjZ6wJzpO3R8z83Ldpwjrn6jehap0or25gfk4/1cd18nT01PllaMzYjdZBGXZpU+nrenP78biSFgAAgKalGYTztuqZNVQelWjblg1OSUt8MGul9jfY51pP6OSp2FOyIZ2uPKkzVuvOyf/D2VfL1T5ZnZQgz+wNkdrv8rhbfQ20ZfsnOnglvmtYuUUvPr5E+4ct1Hu7fqtJI7zyerPUVaecBo11sfl+rspjVti2Rc9ue57VhrIL51de8qQyWifoBrcVwo+c1KnzMrjTT0IHJUfPll+Oxozd6PJwl5IipU1lWrF+q3ZQ0gIAAJqwZhDOrUn0vE0jPEdV/JMpKr6gpMXWWp1Te1pRO2iF3iNObbKtUh/v/EDVullpXROdfY5OfTTY/q5h/JVgIj9u1Eu5RXsUauXWrfemSmdOqrKxZ5Ar92rb5oucHT59UoerE5Q2qE+kxr1WlQ4E9zvbjRX9wBJXrlO1Tzt3HHXuRP/icP6XKaNXOolcAUXfVOotdvnKTu2yrz4TFe3nS5fzNGLsyzkhnzRI+VPuUPWKX+qZVylpAQAATVfzSDCum5U1YkBks+Fg5lLS7QV6fpi0ZtpzWrbH/rqhXUKyUNN9pUqf9BPdnxZT+2xzddc9j+QooWSxChduiVxuMVSxRQsLF6skfZxm3Z9m9dpBA0b+UOnVf9CcuRtrL8lYtUtF9uUK7V8ubdvLCvgJOv6b3+hVe8xQhbYVFWuFc/L6Aold1Tfdyqx19dMVChT7NKe4zHqwWscq4760egmunnfpkWFnVTxngfz25QlDB7XphdnylUYHtwL8PT/QsIS/qLCwSNvs8G0f38IXVFiSrkmzvEpzddTt4yZrmP0lzZl/0J7IMUX7ibZxurssjRnbaWp9RNh38Ij2BmM/VMVzPoxU71HpR5S0AACApquZnF6MnilOvXgwc7nlnbtcy6Z8U68NTZfb3UOZj+9T9oLfq2jiQMWdN7e0VhfvL7TRP1Gd14xRZmo3pWaO0ZrOE+UvekwZkTPGLiVmPKYi/0z13/pEpI07fYRe6/yElq2arDuT+2j0b5ZqclZAM+0xU3P163O3akR63SVTzpfYXz96sVB5WiRvuttqf4em707TTxdMtObWwI8tXYoz36XZBzTtbnvsIZpzLkt5MWO7uni1eONKTe+8WiMze1htBmjkmhRN97+kiRm1XyR1dcnV3FWvakrn1zU0ckyZevzgEC2IafNlfPHYrdRp0IOafM8J+byZGl5U2sDlLuvV/vXEmtsFJS1c5xwAADQd14UtznbkS3l2zS+aK/sHg+7VBM3W1pe9SnH2Ngt2SYw3V4W3/Frv//xOzpwDAIAmIT5/N5Mz5zhfSJWbZqqP/YumRbucM86VCvr/U0vWtdWw4RnqFNnXXJxVxTt/1Gsl6Xp0pIdgDgAAmizCebNk19g/oeULRkmF2UqPXKYwXXcvOadRy5ZrrtfdfF74yE/691Dm6PfVf8Ec/egrlNoAAABca5S1AAAAANcIZS0AAACAoQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhCOcAAACAIQjnAAAAgCEI5wAAAIAhmkE4r1LAly23e7z8FTXOvniNaFMTkM/TTe4CvyqcXfFqAvPkcfdTgf9TZ8+FvrjN13e8V2ZOTe14zZoTx3t1j9eoOTW14zVqTi30PXOF5tQy3zNXaE4t9D1zZebU9N4zTcV1YYuzbS1eN5WXf+bcAwAAAHA1xedvyloAAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQxDOAQAAAEMQzgEAAABDEM4BAAAAQzTNcF4TkM/TTW53/K2XcmYUaVOw0ml4NX0qf0E/uT3zFKhxdl0TNarwj7fmni1foMrZBwAAgKaoaZ85v2ehtpZ/pnLnVrZ1qYYdXqzRuXO1qTLkNAIAAACahmZV1uJKGaT8h3OUUP221geOO3sBAACApqGZ1pzfrLSuic52pYKbijQjp5dT+pKpAp9fgYqzzuNOeUr+PPmLZygnWiKTM1P+2PKYqqA2+MaqT135zHJt++yM8+DFxI9t9ztDxYEKRc7rV/hV4O6nfN9rKp5xn9PG7tuvYFXMmf8Lxl4oX0HmJUpqzqoisDxuzutj+qxSwJdt7R8vf8U1rckBAABAjGYVzkMV76no1feVNXu67k9ra+05q4P+Z5Q7erEOj1qh0kjpy/PqsnaKvPlLFIgNwG//Wkt2D9SLpeVWm/9Svv6gCdHymFC5/JMf0pi1XfX8hlKVl23U1Os3q7i02nlyQ6Jjv6nrp25UWWTs1zW523rNeGix3qkruzmut33LtXvgXOv4PtHWZXlS8XjlPv+OFe0tDY69Vr51ByPPvlBIVYElyvfO1+FhS7W1LDpnq8/Jq3QwMmyiMiatVXn5QnlTWkWeBQAAgGuvaYfzdeOVGT0jbd1SM3+ouetOSJX/UCR3V27RomlvSsOma/bovlYktUtfhujp58YpvXSRZr0RrD2DbUt4QFOn5Cot0WW1yVLeqAFS9fva+fFphfa+rVfWtFbe1AnypiVZnXTRnZOfUl6C89yGhPZp3St/UrVnpPJu7xJZaFdKhr4/OK2u36iEvKc0xdvLOr7WSrn9BxrlSVD16oA+rrG6udyxQ0G9MWuRSj1PaMr47ynFGtie8+SpD0hr5mrRO8echgAAADBN0w7ncV8ILS/doAV5nbVu7k80a1W5ag6X6YPqBKUN6hMJqbVcSvx2P/VPqFYweEh11zdpk6ykdtFGrdQ++QZnu0ZHdm1XiTwa2DvZ2WdJ6qmBWR2cOw1w9VL+qj0q/12WDqzyy+/3a4VvnHJn/sVpUK9NxyS1c7blaqfkTm2cO59r7+b1DYz9XQ0dkerciXPkQ71bUq0OQ/qpe8yck3pnKEtlWr3TWhdnLwAAAMzStMN5vMRe8k6xzyof1Jr/F9ChU8dVrjbqlNzu/Im2S1JHK/9WHz6p+vPXF/O5Du4LOtuxbpC777ec7YacVcWmZ5WTPkSjp72lfSFrsbs/qJdmD3ceb4wanTrR0Jnutkrq2PCp89Cpkzpi/X/cl6seMX9VcGeO17raJgAAADBU8wrntpgz2q72HeTWGR05ebq+fMV2ulLHzkgJnZPrz1hfVFt16Z5m/X9CJ0/FnnM+ofJdh5ztBlRu0YuPL9H+YQv13q7fatIIr7zeLHXVKadBY7RS+xs6Wv/Hj/25Ko81XO/uap+sTkqQZ/aGSJ173V8VnFvJpAyrVwAAAJio+YXzyr3atvl4JHi375yqW+zylfc+VEVdOg+p6uP/1g673CXtW5E69EtrpU59B8ij/QoeiPmRH2ecizp9UocvKKmp0oHgfme7MdqqZ9bQC8eu2qedO446d+J06qPBHqlkxV+1N+YTSShYpFx3L+UW7Tn/gwoAAACM0bzCeeigNs39pYqr79CU/EFKSvqexj0/UlrznGYu2xWpLw9VbNQL0xepNH2cZt2f1qgFcPW8S48MO6vix/9DRXsqY8ZxGjQksav6plsh+bW1KrG/nRqqUKDYpznFZdaD1TpW+Xltuy9QN/acBbWXdrTHfmG2fBe7Uoyru+55JEcJJYtVuHBL5ENJqGKLFhYuVsllzBkAAABfv6ad0+Ku1uJOzdTjB4dq6YaXlB+5lGJrdfH+TKuWPaHOr41QutUmNXOaDmYXyl/0mDISGzl9l1veucu19NF/qXBoujXOEM05l6W89EtcriWxv370YqHytEjedLf1nDs0fXeafrpgojw6qg/K/t64M9jRsbMPaNrdjRnbnvMvtNE/UZ3XjFFmqj3nMVrTeWLMnLnOOQAAgImuC1uc7UjAteuSYTr7h5Pu1QTN1taXvUpx9gIAAKBpic/fVDgYLaTKTTPVx/6Fz6LashzZvzrq/08tWddWw4ZnqFNkHwAAAJoDwrnRXEq6/QktXzBKKsyOlOW43em6e8k5jVq2XHO9bl5AAACAZoSyFgAAAOAaoawFAAAAMBThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwBOEcAAAAMAThHAAAADAE4RwAAAAwRDMI51UK+LLldo+Xv6LG2RevEW1qAvJ5usld4FeFsyteTWCePO5+KvB/6uy50Be3+fqO98rMqakdr1lz4niv7vEaNaemdrxGzamFvmeu0Jxa5nvmCs2phb5nrsycmt57pqm4Lmxxtq3F66by8s+cewAAAACupvj8TVkLAAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYAjCOQAAAGAIwjkAAABgCMI5AAAAYIjrwhZnW253N2cLAAAAwNehvPwzZysunAMAAAC4dihrAQAAAIwg/X9kWgA8z+llAgAAAABJRU5ErkJggg==\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the polarity of PCl<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the standard enthalpy change (<em>ΔH</em><sup>⦵</sup>) for the forward reaction in kJ mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\"><em>ΔH</em><sup>⦵</sup><sub>f</sub> PCl<sub>3 </sub>(g) = −306.4 kJ mol<sup>−1</sup></p>\n<p style=\"text-align:center;\"><em>ΔH</em><sup>⦵</sup><sub>f</sub> PCl<sub>5 </sub>(g) = −398.9 kJ mol<sup>−1</sup></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression,<em> K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, with a reason, the effect of an increase in temperature on the position of this equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"109\" src=\"data:image/png;base64,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\" width=\"282\"/></p>\n<p><em><br/>Accept any diagram with each P joined to the other three. <br/></em></p>\n<p><em>Accept any combination of dots, crosses and lines.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>P<sub>4 </sub>(s) + 6Cl<sub>2</sub> (g) → 4PCl<sub>3</sub> (l) ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Electron domain geometry</em>: tetrahedral ✔</p>\n<p><em>Molecular geometry</em>: trigonal pyramidal ✔</p>\n<p><em>Bond angle</em>: 100«°» ✔</p>\n<p> </p>\n<p><em>Accept any value or range within the range 91−108«°» for <strong>M3</strong>.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>polar <em><strong>AND</strong> </em>unsymmetrical distribution of charge<br/><em><strong>OR</strong></em><br/>polar <em><strong>AND</strong> </em>dipoles do not cancel<br/><em><strong>OR</strong></em><br/>«polar as» dipoles «add to» give a «partial» positive «charge» at P and a «partial» negative «charge» at the opposite/Cl side of the molecule ✔</p>\n<p><em>Accept “polar <strong>AND</strong> unsymmetrical molecule”.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«−398.9 kJ mol<sup>−1</sup> − (−306.4 kJ mol<sup>−1</sup>) =» −92.5 «kJ mol<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>K</em><sub>c</sub> =» <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>5</mn></msub></mfenced><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>PCl</mi><mn>3</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi>Cl</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«shifts» left/towards reactants <em><strong>AND</strong> </em>«forward reaction is» exothermic/ΔH is negative ✔</p>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>Phosphoric acid, H<sub>3</sub>PO<sub>4</sub>, can undergo stepwise neutralization, forming amphiprotic species.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate an equation for the reaction of one mole of phosphoric acid with one mole of sodium hydroxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate <strong>two</strong> equations to show the amphiprotic nature of H<sub>2</sub>PO<sub>4</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the concentration of H<sub>3</sub>PO<sub>4</sub> if 25.00 cm<sup>3</sup> is completely neutralised by the addition of 28.40 cm<sup>3</sup> of 0.5000 mol dm<sup>−3</sup> NaOH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the reason that sodium hydroxide is considered a Brønsted–Lowry base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>3</sub>PO<sub>4 </sub>(aq) + NaOH (aq) → NaH<sub>2</sub>PO<sub>4 </sub>(aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept net ionic equation.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) + H<sup>+</sup> (aq) → H<sub>3</sub>PO<sub>4</sub> (aq) ✔</p>\n<p>H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) + OH<sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sub>2</sub>O (l) ✔</p>\n<p><em><br/>Accept reactions of H<sub>2</sub>PO<sub>4</sub><sup>−</sup> with any acidic, basic or amphiprotic species, such as H<sub>3</sub>O<sup>+</sup>, NH<sub>3</sub> or H<sub>2</sub>O. </em></p>\n<p><em>Accept H<sub>2</sub>PO<sub>4</sub><sup>−</sup> (aq) → HPO<sub>4</sub><sup>2−</sup> (aq) + H<sup>+</sup> (aq) for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«NaOH <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>28</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></math>»</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>01420</mn><mo> </mo><mi>mol</mi></mrow><mn>3</mn></mfrac><mo>=</mo></math>» 0.004733 «mol» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>004733</mn><mo> </mo><mi>mol</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mrow><mn>25</mn><mo>.</mo><mn>00</mn><mo> </mo><msup><mi>cm</mi><mn>3</mn></msup></mrow><mn>1000</mn></mfrac></mstyle></mfrac><mo>=</mo></math>» 0.1893 «mol dm<sup>−3</sup>» ✔</p>\n<p><em><br/>Award <strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«OH<sup>−</sup> is a» proton acceptor ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p>Alkanes undergo combustion and substitution.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the molar enthalpy of combustion of an alkane if 8.75 × 10<sup>−4</sup> moles are burned, raising the temperature of 20.0 g of water by 57.3 °C.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Formulate equations for the two propagation steps and one termination step in the formation of chloroethane from ethane.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>q</em> = <em>mc</em>Δ<em>T</em> = 20.0 g × 4.18 J g<sup>−1 </sup>°C<sup>−1</sup> × 57.3 °C =» 4790 «J» ✔</p>\n<p>«<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>∆</mo><msub><mi>H</mi><mtext>c</mtext></msub><mfrac><mrow><mn>4790</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow><mstyle displaystyle=\"true\"><mfrac><mn>1000</mn><mrow><mn>8</mn><mo>.</mo><mn>75</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup><mo> </mo><mi>mol</mi></mrow></mfrac></mstyle></mfrac><mo>=</mo></math>» –5470 «kJ mol<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer. </em></p>\n<p><em>Accept answers in the range –5470 to –5480 «kJ mol<sup>−1</sup>». </em></p>\n<p><em>Accept correct answer in any units, e.g. –5.47 «MJ mol<sup>−1</sup>» or 5.47 x 10<sup>6 </sup>«J mol<sup>−1</sup>».</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cl<strong>·</strong> + C<sub>2</sub>H<sub>6</sub> → <strong>·</strong>C<sub>2</sub>H<sub>5</sub> + HCl ✔</p>\n<p><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + Cl<sub>2</sub> → Cl<strong>·</strong> + C<sub>2</sub>H<sub>5</sub>Cl ✔</p>\n<p><br/><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + Cl<strong>·</strong> → C<sub>2</sub>H<sub>5</sub>Cl<br/><em><strong>OR</strong></em><br/>Cl<strong>·</strong> + Cl<strong>·</strong> → Cl<sub>2</sub><br/><em><strong>OR</strong></em><br/><strong>·</strong>C<sub>2</sub>H<sub>5</sub> + <strong>·</strong>C<sub>2</sub>H<sub>5</sub> → C<sub>4</sub>H<sub>10</sub> ✔</p>\n<p><em><br/>Do not penalize incorrectly placed radical sign, eg </em>C<sub>2</sub>H<sub>5</sub><em><strong>·</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-1-measuring-enthalpy-changes",
+      "reactivity-3-3-electron-sharing-reactions",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.8",
+    "Question": "<div class=\"specification\">\n<p>Fast moving helium nuclei (<sup>4</sup>He<sup>2+</sup>) were fired at a thin piece of gold foil with most passing undeflected but a few deviating largely from their path. The diagram illustrates this historic experiment.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: center;\"><em>Figure from PPLATO / FLAP (Flexible Learning Approach To Physics), http://www.met.reading.ac.uk/pplato2/h-flap/</em><br/><em>phys8_1.html#top 1996 The Open University and The University of Reading.</em></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest what can be concluded about the gold atom from this experiment.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Subsequent experiments showed electrons existing in energy levels occupying various orbital shapes.</p>\n<p>Sketch diagrams of 1s, 2s and 2p.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the electron configuration of copper.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Most <sup>4</sup>He<sup>2+</sup> passing straight through:</em></p>\n<p>most of the atom is empty space<br/><em><strong>OR</strong></em><br/>the space between nuclei is much larger than <sup>4</sup>He<sup>2+</sup> particles<br/><em><strong>OR</strong></em><br/>nucleus/centre is «very» small «compared to the size of the atom» ✔</p>\n<p> </p>\n<p><em>Very few <sup>4</sup>He<sup>2+</sup> deviating largely from their path:</em></p>\n<p>nucleus/centre is positive «and repels <sup>4</sup>He<sup>2+</sup> particles»<br/><em><strong>OR</strong></em><br/>nucleus/centre is «more» dense/heavy «than <sup>4</sup>He<sup>2+</sup> particles and deflects them»<br/><em><strong>OR</strong></em><br/>nucleus/centre is «very» small «compared to the size of the atom» ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept the same reason for both <strong>M1</strong> and <strong>M2</strong>.</em></p>\n<p><em>Accept “most of the atom is an electron cloud” for <strong>M1</strong>.</em></p>\n<p><em>Do not accept only “nucleus repels <sup>4</sup>He<sup>2+</sup> particles” for <strong>M2</strong>.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"174\" 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\" width=\"372\"/></p>\n<p>1s <em><strong>AND</strong> </em>2s as spheres ✔</p>\n<p>one or more 2p orbital(s) as figure(s) of 8 shape(s) of any orientation (p<sub>x</sub>, p<sub>y</sub> p<sub>z</sub>) ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup>2s<sup>2</sup>2p<sup>6</sup>3s<sup>2</sup>3p<sup>6</sup>4s<sup>1</sup>3d<sup>10</sup></p>\n<p><em><strong>OR</strong></em></p>\n<p>[Ar] 4s<sup>1</sup>3d<sup>10</sup> ✔</p>\n<p> </p>\n<p><em>Accept configuration with 3d before 4s.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-3-electron-configurations"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what can be concluded about the gold atom from this experiment.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Subsequent experiments showed electrons existing in energy levels occupying various orbital shapes.\n  </p>\n  <p>\n   Sketch diagrams of 1s, 2s and 2p.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the electron configuration of copper.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Most\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   passing straight through:\n  </em>\n </p>\n <p>\n  most of the atom is empty space\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  the space between nuclei is much larger than\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «very» small «compared to the size of the atom» ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Very few\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   deviating largely from their path:\n  </em>\n </p>\n <p>\n  nucleus/centre is positive «and repels\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «more» dense/heavy «than\n  <sup>\n   4\n  </sup>\n  He\n  <sup>\n   2+\n  </sup>\n  particles and deflects them»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  nucleus/centre is «very» small «compared to the size of the atom» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept the same reason for both\n   <strong>\n    M1\n   </strong>\n   and\n   <strong>\n    M2\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Accept “most of the atom is an electron cloud” for\n   <strong>\n    M1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Do not accept only “nucleus repels\n   <sup>\n    4\n   </sup>\n   He\n   <sup>\n    2+\n   </sup>\n   particles” for\n   <strong>\n    M2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"174\" src=\"data:image/png;base64,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\" width=\"372\"/>\n </p>\n <p>\n  1s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2s as spheres ✔\n </p>\n <p>\n  one or more 2p orbital(s) as figure(s) of 8 shape(s) of any orientation (p\n  <sub>\n   x\n  </sub>\n  , p\n  <sub>\n   y\n  </sub>\n  p\n  <sub>\n   z\n  </sub>\n  ) ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  1s\n  <sup>\n   2\n  </sup>\n  2s\n  <sup>\n   2\n  </sup>\n  2p\n  <sup>\n   6\n  </sup>\n  3s\n  <sup>\n   2\n  </sup>\n  3p\n  <sup>\n   6\n  </sup>\n  4s\n  <sup>\n   1\n  </sup>\n  3d\n  <sup>\n   10\n  </sup>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  [Ar] 4s\n  <sup>\n   1\n  </sup>\n  3d\n  <sup>\n   10\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept configuration with 3d before 4s.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-3-electron-configurations"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>Ammonia is produced by the Haber–Bosch process which involves the equilibrium:</p>\n<p style=\"text-align: center;\">N<sub>2 </sub>(g) + 3 H<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2 NH<sub>3 </sub>(g)</p>\n<p>The percentage of ammonia at equilibrium under various conditions is shown:</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: center;\"><sup>[The Haber Bosch Process [graph] Available at: https://commons.wikimedia.org/wiki/File:Ammonia_yield.png</sup><br/><sup>[Accessed: 16/07/2022].]</sup></p>\n</div><div class=\"specification\">\n<p>One factor affecting the position of equilibrium is the enthalpy change of the reaction.</p>\n</div><div class=\"specification\">\n<p>The standard free energy change, Δ<em>G</em><sup>⦵</sup>, for the Haber–Bosch process is –33.0 kJ at 298 K.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the expression for the equilibrium constant, <em>K</em><sub>c</sub>, for this equation.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how the use of a catalyst affects the position of the equilibrium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>With reference to the reaction quotient, Q, explain why the percentage yield increases as the pressure is increased at constant temperature.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the enthalpy change, Δ<em>H</em>, for the Haber–Bosch process, in kJ. Use Section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why the value obtained in (b)(i) might differ from a value calculated using Δ<em>H</em><sub>f</sub> data.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Demonstrate that your answer to (b)(i) is consistent with the effect of an increase in temperature on the percentage yield, as shown in the graph.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, giving a reason, whether the reaction is spontaneous or not at 298 K.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the equilibrium constant, <em>K</em>, at 298 K. Use sections 1 and 2 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change for the Haber–Bosch process, in J mol<sup>–1 </sup>K<sup>–1</sup> at 298 K. Use your answer to (b)(i) and section 1 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, with reference to the reaction equation, why this sign for the entropy change is expected.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi>c</mi></msub><mo>=</mo><mfrac><msup><mfenced close=\"]\" open=\"[\"><mrow><mi>N</mi><msub><mi>H</mi><mn>3</mn></msub></mrow></mfenced><mn>2</mn></msup><mrow><mfenced close=\"]\" open=\"[\"><msub><mi>N</mi><mn>2</mn></msub></mfenced><msup><mfenced close=\"]\" open=\"[\"><msub><mi>H</mi><mn>2</mn></msub></mfenced><mn>3</mn></msup></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same/unaffected/unchanged ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing pressure increases «all» concentrations<br/><em><strong>OR</strong></em><br/>increasing pressure decreases volume ✔</p>\n<p><em><br/>Q</em> becomes less than <em>K</em><sub>c</sub><br/><em><strong>OR</strong></em><br/>affects the lower line/denominator of Q expression more than upper line/numerator ✔</p>\n<p><br/>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» ratio of products to reactants increases<br/><em><strong>OR</strong></em><br/>«for <em>Q</em> to once again equal <em>K</em><sub>c</sub>,» equilibrium shifts to right/products ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> for answers that do not refer to Q.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>bonds broken</em>: N≡N + 3(H-H) /«1 mol×»945 «kJ mol<sup>–1</sup>» + 3«mol»×436 «kJ mol<sup>–1</sup>» / 945 «kJ» + 1308 «kJ» / 2253 «kJ» ✔</p>\n<p><em>bonds formed</em>: 6(N-H) / 6«mol»×391 «kJ mol<sup>–1</sup>» / 2346 «kJ» ✔</p>\n<p>Δ<em>H</em> = «2253 kJ - 2346 kJ = » -93 «kJ» ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> for (+)93 «kJ».</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«N-H» bond enthalpy is an average «and may not be the precise value in NH<sub>3</sub>» ✔</p>\n<p> </p>\n<p><em>Accept ΔH<sub>f</sub> data are more accurate / are not average values.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increased temperature decreases yield «as shown on graph» ✔</p>\n<p>shifts equilibrium in endothermic/reverse direction ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>spontaneous <em><strong>AND</strong> </em>Δ<em>G</em> &lt; 0 ✔</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ln</mi><mo> </mo><mi>K</mi><mo>=</mo><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mo>∆</mo><mi>G</mi></mrow><mrow><mi>R</mi><mo>.</mo><mi>T</mi></mrow></mfrac><mo>=</mo><mo>⟩</mo><mo>⟩</mo><mo> </mo><mo>-</mo><mfrac><mrow><mo>-</mo><mn>33000</mn></mrow><mrow><mn>8</mn><mo>.</mo><mn>31</mn><mi>x</mi><mn>298</mn></mrow></mfrac><mo> </mo><mo>/</mo><mo>«</mo><mo>+</mo><mo>»</mo><mn>13</mn><mo>.</mo><mn>3</mn></math> ✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>K</mi><mo> </mo><mo>=</mo><mo> </mo><mn>6</mn><mo>.</mo><mn>13</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></math> ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept answers in the range 4.4×10<sup>5</sup> to 6.2×10<sup>5</sup> (arises from rounding of ln K).</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<em>G</em> = «Δ<em>H</em> – <em>T</em>Δ<em>S</em> =» –93000 «J» – 298«K» × Δ<em>S</em> = –33000 ✔</p>\n<p>Δ<em>S</em> = 〈〈<math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>-</mo><mn>93000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi><mo> </mo><mo>-</mo><mfenced><mrow><mo>-</mo><mn>33000</mn><mo> </mo><mi mathvariant=\"normal\">J</mi></mrow></mfenced></mrow><mrow><mn>298</mn><mo> </mo><mi mathvariant=\"normal\">K</mi></mrow></mfrac></math>〉〉 = –201 «J mol<sup>–1 </sup>K<sup>–1</sup>» ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize failure to convert kJ to J in <strong>both</strong> (c)(ii) and (c)(iii).</em></p>\n<p><em>Award <strong>[2]</strong> for correct final answer</em></p>\n<p><em>Award<strong> [1 max]</strong> for (+) 201 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>\n<p><em>Award [2] for –101 or –100.5 «J mol<sup>–1</sup> K<sup>–1</sup>».</em></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«forward reaction involves» decrease in number of moles «of gas» ✔</p>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Deducing the equilibrium constant expression for the given equation was done very well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; however, some misread the question as asking for the effect of a catalyst on equilibrium, rather than on the position of equilibrium.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; very few identified the effect of increasing pressure on all concentrations. Consequently, <em>Q</em> becomes less than <em>K</em><sub>c</sub> (it affects the denominator of <em>Q</em> expression more than the numerator) was not addressed. Question was often answered with respect to kinetics, namely greater frequency of collisions and speed of reaction rather than from equilibrium perspective based on effect of increase in pressure on concentrations.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; often the bond energy for single N–N bond instead of using it for the triple bond and not taking into consideration the coefficient of three in calculation of bond enthalpies of ammonia. Also, instead of using BE of bonds broken minus those that were formed, the operation was often reversed. Students should be encouraged to draw the Lewis structures in the equations first to determine the bonds being broken and formed.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Outlining why Δ<em>H</em><sub>rxn</sub> based on BE values differ due to being average compared to using Δ<em>H</em><sub>f</sub> values was generally done well.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; some did not relate that increased temperature decreases yield «as shown on graph» and others arrived at incorrect shift in equilibrium for the reaction.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Reason for the reaction being spontaneous was generally very done well indeed.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; for ln<em>K</em> calculation in the equation ΔG = RTln<em>K</em>, ΔG unit had to be converted from kJ to J. This led to an error of 1000 in the value of ln<em>K</em> for some.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very good performance; since the unit for <em>S</em> is J mol<sup>˗1</sup> K<sup>˗1</sup>, Δ<em>G</em> and Δ<em>H</em> needed to be converted from kJ to J, but that was not done in some cases.</p>\n<div class=\"question_part_label\">c(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Average performance for sign of the entropy change expected for the reaction. Some answers were based on Δ<em>G</em> value rather than in terms of decrease in number of moles of gas or had no idea how to address the question.</p>\n<div class=\"question_part_label\">c(iv).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>Organomagnesium compounds can react with carbonyl compounds. One overall equation is:</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>Compound B can also be prepared by reacting an alkene with water.</p>\n</div><div class=\"specification\">\n<p>Iodomethane is used to prepare CH<sub>3</sub>Mg<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math>. It can also be converted into methanol:</p>\n<p style=\"text-align: center;\">CH<sub>3</sub><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> + HO<sup>–</sup> → CH<sub>3</sub>OH + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of Compound B, applying International Union of Pure and Applied Chemistry (IUPAC) rules.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Compound A and Compound B are both liquids at room temperature and pressure. Identify the strongest intermolecular force between molecules of Compound A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math> (sigma) and <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math> (pi) bonds in Compound A.</p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsgAAABHCAYAAAAa0rFSAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAQqSURBVHhe7dxdaFZ1HMDxn2OY+IaKoYzxgElFGkOs7EVolakQEUF518WwFVEmdSW7CCJ6JxqSVyX0dlPQxVCJLor0rsxW6dVYGD2KTRgqa42kp9mZHuaPmrjkSXyePp+Hsf85nOfZOduesy+Hs/+MM4UAAADOaik/AwAABYEMAACJQAYAgEQgAwBAIpABACARyAAAkAhkAABIppwHuVJpL0cAANDcqtWj5eicCwby3zcEAIBmM1X3usUCAAASgQwAAIlABgCARCADAEAikAEAIBHIAACQCGQAAEgEMgAAJAIZAAASgQwAAIlABgCARCADAEAikAEAIBHIAACQCGQAAEgEMgAAJAIZAAASgQwAAIlABgCARCADAEDSuIE8Ohhf9D4aN1Tao/KPj47o7jtSbHQk+ro7orLqzeivnXsaAJdiJAbee+IC59z2WNXbH7XiMdS3pVjeGL39o+XzABrPjDOFcjxp4mRXrR4tl65A49Xoe/Lh6Kltjg9e3By3LI0Y2rsj3jp4Wzy95Y5Y6ro4QB2Nx2j/znjl4NroeeR0vHP33uj8cmu07Xkm1uy5N/bvfDCK0zBAQ5qqexsyJWvffxLPf3ptbNvWVcTxzGLNzFh61+Z46M/t0bX9m3DdAqCeWmLu6sfjpa6VMXdsJIb/mFhXi19PnYw5SxbE7LPbADSPBgzkWgxXD8eJRTdFx7JZ5boJC6Kj89YYent3HBgZL9cBUFdjp+L4jddEW2sRyCeH46rF8wUy0HQaMJBbYvaCRTHnxOGoDk9xY/FvX8d3P46VCwDUU+3Y4ThQjgGaVUMG8tzrVkfnnP3x2VfH4vy14vEYGzkVp2NxLJzXWq4DoH5+j58OfhuxslKcaQGaV0Peg9zSdk88u2117Nv6VDzXNxCjE/9AMrgrXnv144j7NsWG5fnWCwDqYvRQ7PloMG5ednW0Fo95CxfH6YFq/HJkd7zw4UC6YAHQ2BoykCPmx/Vdr8eud9fH8Z51saJSiRXrXo7jG3fErjceiLbJo6rXNG/TmLpoqC+6J6c6mko9XuNixzOdKZbq8Br2M7kS9rNwOY61afaTS1N87z9/P3p/vj3uX7OkWJ4Vyzdsis59W2LtYz/EneuXFX9QpvOe+Rcu+rO8HL+30zkm76/z7Od59djPy3Gs0/gadXmNxtKY07wBAEAdNM00bwAA8F8RyAAAkAhkAABIBDIAACQCGQAAEoEMAACJQAYAgEQgAwBAIpABACARyAAAkAhkAABIBDIAACQCGQAAEoEMAACJQAYAgEQgAwBAIpABACARyAAAkAhkAABIBDIAACQCGQAAEoEMAACJQAYAgEQgAwBAIpABACARyAAAkAhkAABIZpwplONJlUp7OQIAgOZWrR4tR+dMGcgAAPB/5RYLAABIBDIAACQCGQAAJkX8BSiECJSA+74eAAAAAElFTkSuQmCC\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the hybridization of the central carbon atom in Compound A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the isomer of Compound B that exists as optical isomers (enantiomers).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the alkene required.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the reaction produces more (CH<sub>3</sub>)<sub>3</sub>COH than (CH<sub>3</sub>)<sub>2</sub>CHCH<sub>2</sub>OH.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the structural formula of the repeating unit of the polymer formed from this alkene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce what would be observed when Compound B is warmed with acidified aqueous potassium dichromate (VI).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the requirements for a collision between reactants to yield products.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the mechanism of the reaction using curly arrows to represent the movement of electron pairs.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The polarity of the carbon–halogen bond, C–X, facilitates attack by HO<sup>–</sup>.</p>\n<p>Outline, giving a reason, how the bond polarity changes going down group 17.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2-methylpropan-2-ol /2-methyl-2-propanol ✔</p>\n<p> </p>\n<p><em>Accept methylpropan-2-ol/ methyl-2-propanol.</em></p>\n<p><em>Do <strong>not</strong> accept 2-methylpropanol.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>dipole-dipole ✔</p>\n<p> </p>\n<p><em>Do not accept van der Waals’ forces.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>: 9<br/><em><strong>AND</strong></em><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>: 1 ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp<sup>2</sup> ✔</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>butan-2-ol/CH<sub>3</sub>CH(OH)C<sub>2</sub>H<sub>5</sub> ✔</p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>carbocation formed from (CH<sub>3</sub>)<sub>3</sub>COH is more stable / (CH<sub>3</sub>)<sub>3</sub>C<sup>+</sup> is more stable than (CH<sub>3</sub>)<sub>2</sub>CHCH<sub>2</sub><sup>+</sup> ✔</p>\n<p><br/>«because carbocation has» greater number of alkyl groups/lower charge on the atom/higher e<sup>-</sup> density<br/><em><strong>OR</strong></em><br/>«greater number of alkyl groups» are more electron releasing<br/><em><strong>OR</strong></em><br/>«greater number of alkyl groups creates» greater inductive/+I effect ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> award any marks for simply quoting Markovnikov’s rule.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"183\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAksAAAH4CAYAAABaC6lEAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAEYaSURBVHhe7d0HmNTV9f/xuyDSO9JBmgKCgFgQAQUsWAJoUEEjJBo1IiqIMViQkBghMZqfYvvbokZJ7IqAXQERlV5EEOm9g4AUqf/9HOYOAyzX3WFnd2fn/Xqe8+zdYdiF2e/OnLnn3nPT9qVzAAAAyFCByEcAAABkgGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAggGQJAAAgIG1fusg4JWzfvt3t3bvXxu+99559zCnFihVzJUqUsHGDBg1ctWrVbAwAqUjPxevWrbPxpk2b3KRJk2ycUypVqmTPy9KkSZPoGDhUyiVLmzdvjiZLjz76qMvJ/36pUqVcuXLlbNyyZUtXv359GwNAKtJz8ZIlS2y8du1aN3LkSBvnlNq1a7vSpUvbuH379vYcDWSEMhwAAEBAys0s9enTx61YscLGo0ePztGZJZXdatWqZeOePXu6Dh062BgAUtHu3bvd+PHjbTxnzhzXr18/G+eU8uXLu6JFi9r4pptuchUrVrRx586dXYECzCXggJRLlrp16+YWL15s42+++cY+5pQaNWq4unXr2rhv376uY8eONgaAVLRr1y43btw4G8+aNcv16tXLxjmlTJkyrkiRIjbu3bu3q1y5so27d+/uChYsaGNASJ0BAAACUm5mqWHDhjbdK9r9IBUqVHD33HOPjROpcOHC0SnfmjVr2vcFgFSll58ff/zRxtu2bYs+NyfSypUr3erVq2380ksvuRkzZthYSyN8Ga5///7umGOOsTEgKTezpF9OH2lpadFQfTonQ98TAFKdfw6WjJ4rsztin++BzErpq8X/wqg2rRmfRIdq48cee6wFv6gAcOB5WDM5GT1vZnfwPIx4pFwZTs0g/VRv27Zt7WPVqlXd0KFDbQwAyL8WLFgQ7e00YMAAN3bsWBtThkMIaTUAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRIAAEAAyRJy1b59+zIdiZTR91PklIy+twIAkPvS0p+QU+oZuUGDBm7OnDk2btu2rX2sWrWqGzp0qI2ReLNnz3bbtm2z8cSJE92ePXtsnJGyZcvaz0eqV6/uKleubOMiRYq4Y445xsbZYeTIkW7RokWRzw64+eabXVpaWuSzxFi1apWbMGGCjbds2eJ+/PFHG9euXdtVqlTJxieeeKIrWbKkjZE5O3bscLt377axfrY///yzjf3jqOunTp06Nk6kNWvWuKVLl0Y+O0DXc/HixW1crFgxV6AA711zwoIFC9ySJUtsPGDAADd27Fgb9+zZ01WsWNHG/fv3z9bnFyQ/fjsBAAACSJaQrTRRuXfvXovt27e7jRs3Wuid/ffff2+xcOFC+1yhWZXVq1cfMVasWGHvAhV6R/jDDz9Y6M/81w7NTGWWZnMO/d6KnKDZj02bNlmsX78++r03b95sj6FCjyeyRo/rzp07LZYvXx695jTTs3btWrdhw4bIPRNLs4X+e8eGbvf/PgB5G2W4dJThso9eoFT+kKlTp7oZM2bY+N///rebMmWKjbPDDTfc4Jo2bWrjbt26ufLly9s4Xh07dnQjRoyIfHaAErFEl0dUihw8eLCN586d62bOnGlj/b9at25t486dO1vZBpk3f/78aElTj+W8efNsrMdSP9MKFSq4Z555xm5LpCFDhrjevXtHPjvgsccecy1btrRx48aNXeHChW2MxKIMh3gwswQAABBAsoSjptmXrVu3WixbtsyNHz/eQjNL3377rYVKTF7p0qVduXLlLBo1auROPvnkg0K3aQZQUatWreh9tajbW7x4cfRrT5482U2aNMkixSZKAQA5gGQJR23Xrl22JkQxevRoN3DgQIuHHnrIPf300xYqiXja5XXSSSdZqJz2hz/84aDQbd27d7e46KKLovdV2cT7+OOPo1/7wQcfdIMGDbLwu58AAMguJEsAAAABJEuIm2aUFOvWrbOZHoX6BflZJvUnqlatmoVmiK699lqLq666ynXt2tXilFNOcc2aNTsomjdv7lq0aGFx7rnnRu/bpUsXW5yrqFKlSuRf4WyxphbvKqZPn+6mTZvmZs2aFflTAACODskS4qK1QWryp1i5cqV77bXXLD777DNrDaBQsqSSm+Lqq692d911l4V2Bt1yyy0WZ599tmvVqtVB0aZNG0uSFEqQ/H1vvPFGd91111loLZOnHWR+/dK4ceMstH4JAIDsQLIEAAAQQLKEuGgh9TfffGOh3Wi+DKYGivXq1bNQ6c3PCp122ml2dIci3v4lKr01adLE4tJLL42W9XQkivfGG2+4V1991Q0bNiw686VSIQAA8SJZQlzULkDNPRVKktSJW6HkROe3KbT26JJLLrFQ8qSWAYqCBQtGvkrWKClS+U2h9Uzt27e38OdriUpwX375pTV69Guq2CEHADgaJEsAAAABJEuIi4400XENCpW+PM0g+fKYSm9Fixa1iHc26Uh01Ml5551noXKfD78A/IorrnDbtm2z0GwXAADxIllCXGLLcP6cJSlRooSrU6eOhbpuK0lSaGdcdipTpky03Ke1TDrfT6HvW7duXVezZk37Nyo4hBYAcDRIlgAAAAJIlpAlavaofkZHavp43HHH2UnqCjWjzAl9+/a1I08Ut956q+2+UylOJ4grNAsFAEC8SJaQJdpdtnPnziNux1fJrXDhwhbxtgjIqtiDeUuVKmVRsmTJaAmwQAEucwBA/HgVQZZo/Y+6d8euA9J6JCUkiuxem5Tb/LqnRIceUwUSL/ax1nWc6ACQ/NLSnzRS6hm6QYMGtihZ2rZtax+1MHjo0KE2Rtjrr79uM0s//fST69mzp92mGZ1zzjnHxnpMb7vtNhsnk44dO7oRI0ZEPjtAu/0SnQAuWLDADR8+3MYbN260s/akW7durnXr1jbWeXjVq1e3MTJn/vz57scff7SxHkv1A5OzzjrLEnv17frzn/9styWSmqQ+9NBDkc8O0LWlcrU0btzYZmORePp985tSBgwY4MaOHWtjPZ+pbC/9+/fPsZlxJAdmlgAAAAJIlpAlKiv40lEqWLFiRcJDM0n+aJZUeVxzk3pvbd261W3evDl6TE8iw88UAkhelOHSUYbLvOeee85e1PVi069fP7stP5fhchNluKNzpDJcXkEZLndQhkM8mFkCAAAIYGYpHTNLmZdqM0s6ViXRC7z1WK5cudLGasngj2fJysySfo19CW/Lli1u2bJlNo5dMB5L7Rb8O+f69etHWyyUL1/ebssPfmlmSf/nSpUqRT5LHP18N23aFPnsAGaWcgczS4gHyVI6kqXMS7VkKVl2w2ktmdbiyOzZs23XoowfPz76YhCrSZMm1o9K9HPUMTV6cfDfLz/4pWRJZxZeeOGFkc8SR/+OGTNmRD47gGQpd5AsIR6U4QAAAAKYWUrHzFLmvfbaa9ZnSaWeXr162W35eWZp3LhxCZ9Z+u6779wLL7xgY+2OW7RokY0zM7Okn4Vs2LDBvfnmmzZWCe7rr7+28dKlS93ChQttHEsHEBcpUsTG+tlpVuPYY491N910k92mWRcdSpzMjjSzdMIJJ9jPVKVIHY+TaJ988ol7+eWXI58dwMxS7mBmCfEgWUpHspR5H3zwga2rUbJ0zTXX2G35OVnSOqBEH5cyceJEN3jwYBvPnTvXzZw508aZSZbUHFT097p27Wpj3ebXQGWFEqRnnnnGxvqZXnzxxTZOVkdKlvRY6mdaoUKF6P83kYYMGeJ69+4d+ewAkqXcQbKEeFCGAwAACCBZQpZo91CVKlWi78BEi72nTJlisXjx4sitOWf9+vVu9erVFtOnT3fTpk2z2RntQFLo35cfaVH31KlTLfT/9Y+BjvG4/vrrLe699173xBNPWGgWRQv0FQ888IC77777LIoXL25fTyU9/+fDhg2z2wAAJEvIIq3z8OFpd5ySJEVudCtW2cknRppeV2jdjnaHKfxW/PxGFXT/uOv/q47UCiU/KosqOnXq5Hr06GHxu9/9zv3+97+36NKli5WjFH7tkkqOY8aMsZg8ebLdBgAgWQIAAAgiWUKWVKtWzdWoUcMWG/uILcmtWbPGdpAptBMrJ4wePdr6FClUdrrnnnvcwIEDbeeeQn+eH2mR8gUXXGChxfZffPGFxdNPPx29vWHDhrZwWxG7YLVmzZrWjFLRqlUrd/bZZ9tp/ACAw5EsIUtUstELb7FixaIvwrG7eFTy0hoixfbt2yO3JpZKf6tWrbKYNWuWbcVXY8bly5db5NeDTLX9XYmqQglsmzZtLE455ZTo7SVLlrRO1YrYFgj6uakRpUJdu30AAA5HsgQAABBAsoS4aDbJ77jSImJPxzr85S9/sfjss89sJ5pi9+7dkXtkDy1q1vdS/Oc//3FPPfWUhT8fTTMnl156qQXlpcNNmDDBffTRRxbqnaVQuVK9ZhSXX3555J4AAJIlxEUlHe26UvjdVOIbVipUktOOrUT0PVXype+l0I43n5R5+vfp36VQZ2ocTG0C9PNR7Nixw0Jj/zNVsgkA2I9kCXErVKiQhRYOa7Gx73St/j8KvSBr3ZJCSY1mfRTxJk/6mv5r6MXdtwbQ7Z7/Nyn8Wp1Ed+DOy/TYxCaVPpH1PxeFHiP9DPWYKbFUaAwA2I9kCXFRGe7qq6+2UBmubt26FpqR0DETiieffNL9+te/ttBxMmoWqdALdDx0ZpqOJlCoVKQdXAodX+D95je/sZ5COt6iWbNmFvXq1Yv8aerRQne/K/Ciiy5ypUqVstBOOT1GihYtWthxL+q5dPfdd1uoJxMAYD+SJQAAgACSJcTNl97URsDPLOk4FE9lOHXXVmhB9vfff2+hg4x/+OEHCx346rf9r1271kK9mvxt+ntqBaDQ3/V/zx8gK/r+fhu87/2kI1lwcOlSs35lypSxiO25pM7nOnBWoZ+HQq0fAAD7pe1LxOrbPKxBgwb2Yi06IV+qVq1qZSLER+uH/Cne7777ruvXr5+Nj0SlMSU2cv7559sLtxZkqzwkWrztF2vrNH01uBT1S9q4caONYzVv3twSJnnvvfdsvY1fgJ5ZKkONGDEi8tkBSjISveZp4sSJbvDgwTbW/1fnvIlKZK1bt7axSmRKArNK5/V9/fXXNlZJbsWKFTZW88pDEyKtVbrttttsrO+V0Un5yUSlYCWAosdy3rx5NtZjqZ9phQoV7Ly8RBsyZEiGj+Vjjz3mWrZsaePGjRsf1K8MiaOyvX++GjBggJX1RaV932C3f//+B72hAJhZAgAACCBZwlHTu3R1ilbo+Awd0qpQN2nN5Cn8rJHo3b4vuWkWxfdL0uGtCp2i729buHBhdAeXynqeSn6nnnqqhWZf/MGxmh3RO0LeFe5XtmxZd8IJJ1hoBk6PleKyyy5zXbt2tdCshn5GWgjvS6Wa4fId0DOazQOAVEIZLh1luOyjEprKcjJq1Cgr94hKXHoRzi433HCDa9q0qY21G09JgfjyXlbl1zJcZvz1r3+NJqMqGYkSp4cfftjGOg9QSWmyoQyHjFCGQzyYWQIAAAhgZikdM0vZR7uv/NEmKqGpN5JoN5t2uYnKb2qSKFq0HboE1YFb5T1RKc/PHKk3kH5uop+p7zgdb7fugQMHuvHjx0c+O+D9998/6ADaRND1+Oqrr9pYO9G0A1DUQ6phw4Y21gyTZkISQTOAmlVS00r1xJLYBd56fH/1q1/ZOJlo9kA7/eSOO+5wS5cutXG7du3sZ1quXDl3//33222J9PLLL7tBgwZFPjvg3nvvjc6Oqnwd77WLrGFmCfEgWUpHspR4Ks35JGrWrFn2wizaoRXbgftQKq/5pEgv4JUrV7axkqjsfDIbOXJkNLGLdfPNNyc8WVKLBJ3VJiqH+dJR7dq1o60YTjzxxGjSmCibN292pUuXtrESM5Wr5IwzznA33nijjZOJdv75FhOPPPKIPc6ikqLffXnLLbfYbYmka+v555+PfHbAddddZz9X0c+aruk5g2QJ8aAMBwAAEMDMUjpmlhJPC6X9paaZE30uKpOELkGVJnwPJX305TadZ5adMz7a9RXb6NJTeSTRdPyLypGi2Te/608lR39IsWZBDp150GP4xhtv2FgzUv4dsvpYadZC/GHCIf7AY30N/846P8ws6XH15V7NYPpjdsqXL28fdW3lxM9X15YW7h9Ki+j9LlH9rBO9kQD7MbOEeJAspSNZQjJSInDPPffYWOvAXnrpJRtfcskl7tlnn7WxXoR/qXynBqA+WfIlz/yQLAEZIVlCPHgrAwAAEECyBCQplW1UclPElpO081A7rRTDhg2zEp9C5TZv9erV9u5aoXfRt99+u7v77rsjf7p/RkpNRX1jUQBIZSRLQBLzndNjz8HT2iutkVEoKVK5TuHXiYnWRWmHokIHE/tDij2VILQTUZGVM/YAID8iWQIAAAhggXc6FngjWfmdc2pkqVKaaDZp2rRpNtaOL3+MhnYP+h2E6m3lf/XV80qfazbp3HPPtdt09t4///lPG6vcx2JX5Bcs8EY8mFkCkpiSoUNDbRXUgkChREgH4So2bNjg1q9fb6HP1cJBoYTL3z+jr8eLBoBUR7KEPEOzGz406+EDv0yzP1qUrdAaI/WkUhypK7Tur6RKofvp7yj81/C9rQAAlOHsI2W43KfFx/7sLs1k6AVbNLPBC/cvU4Lpj5DR6fo6007GjBnjPv74YxvH0tExvsHnDTfcYI+xHmuNgfyMMhziwcwSAABAAMkS8gStl1F/IIUO2tXsiGLNmjWRe+CX+LKaymnVqlWzaNiwoTvzzDMPi+bNm9uJ94oqVarYgb3+XTUytmzZMmuxoJg6daqbMmWKBYD8jzJcOspwuU9JkV64RSU4nZslHTp0cH369LExkJsGDhzoxo8fb2OdNeebfOrsN851Sx6U4RAPfsMBAAACSJaQJ2iCU6fCK9RVWgu+FVq4DOQFWkC/adMmC3+tKgDkfyRLyBOUFPkXIh3XkdERHUBuUp+qlStXWqhPlb9eAeR/JEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEsAAAABJEvIM9LS0ixix/5zIC+IvS65PoHUQbKEPKFo0aKua9euFl26dHEXXHCBRaNGjSL3AHJX+/btXY8ePSy6desWvV5JmID8j2QJAAAggGQJeUKBAgVc1apVLapUqeLKly9vUbx48cg9gNxVqlQpV6FCBQtdo/56BZD/pe1LFxmnhAYNGrg5c+bYuG3btvZRT3hDhw61MQAg/1qwYIFbsmSJjQcMGODGjh1r4549e7qKFSvauH///u6YY46xMSDMLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLCFXLV261HqeHCnWrl3rfv75Z4s9e/ZE/haQM3766Se3evVqi2XLlmV4jW7atMliy5Ytkb8FIL8hWUKuWr9+vSVERwq9CO3atcuCZAk5bfv27dFk6EjX6rZt2yx0XwD5E8kSAABAAMedpOO4k8TQO3GFTJ482a1YscLG48aNc5s3b7axShehS1BHDhQuXNjGtWvXdjVr1rRxmzZtXI0aNWx8/PHHR+8DZNbevXvdjz/+aGOV2b744gsbz58/302ZMsXGO3fudLt377axZjYzulb9tVeoUKHoNamPF198sY11jpyuXeQNHHeCeJAspSNZSgwlRytXrrTxJ5984ubNm2fjd999N5pEZUWjRo3ciSeeaOPLL7/c1a9f38YnnXSSK1q0qI2BzFLys2bNGhvrxfPNN9+08fTp0+16zSolS7Vq1bKxnmeuv/56G9epU8c1btzYxsh9JEuIB2U4AACAAGaW0jGzdHRUzvCLW2fPnu0++ugjG3/zzTdu0qRJNt6xY4ct0hbdV39HzjvvvMPewel+vkynBbSLFi2ysd65+/sWK1bMPpfbb7/dVapUycbXXHONK1iwoI2BjAwbNsyuv40bN9rMgqjUpkXaoutP16uo7OuvrZIlS7pjjz3WxrF0vetpNC0tLXrt6dosXry4jTXz2aJFCxtfdNFF7owzzrBxkSJFuFZzATNLiAczSzhqeqHwoS3+WgeiWLdunVu1apWFPt+6dauFT5RE5bOMQutAFD4hEr2IKdFSqIznv7Z2KmmLtwL4JUqKdB1qvdzy5csttGZJnyt8oiRKZvy1mNF1qvB0/SvpUuga1fWv0LW6YcMGC31t/7sCIHmQLOGoxb5IxEbsC4JedJT4KPyLj0+GMgq9g/cRe1+921PoXbyntSf+eyoR8wF4uh50nSiUdCt0vXi6nvy1pess9hr112Hs9Rkbuo9mifw1qoidlYj93rFBwgQkD8pw6SjDHR3tHho8eLCNtYh7zJgxNo7Vq1cvd+aZZ9pYj3uZMmVsrFJFbOJzKL2oabZKPv30U9tJJyqlzJ0718axPv74Y3ux0ouX/37AiBEjojvfrrvuOruuYtWtW9duFz1HtGzZ0salSpWKltN+iWaldF3KjBkz3D//+U8bx+rYsWP0uuzWrZst/kbOogyHeDCzBAAAEECyhLhoQlKLsH1osaxCa0G8ChUq2FZ/ReXKlW02SaGZnwIFCliEZpVEf+7vq3f5+joKvQPU11fEvgNcuHDhQe8ckbpU6vLlWa1t09E6Cj+ZrutGPboU6ot03HHHWeg6058pdN1llkrN/hrXdem/drly5SL3cPa74o9P0e+KP8qHkhyQt1GGS0cZLuvUrO/DDz+0sR7PP/3pTzaO1bt3b3fzzTfbWI35tJsou7z00ktu5syZNn7xxRdtIW0s7WJavHhx5DOkIiXvfrF2+/bt3ffff29jT4nRc889Fx370lt2UP8m7QYVlQCfffZZG8d6/vnnXevWrW2sppV6E4HEowyHeDCzBAAAEECyhLioxPHtt99aaIG359+hK7R4tUSJEhbZ/S6tevXqrmHDhhbaheSVL1/eQqUQ307A94BCalH3eG0CUGgm1KtXr5474YQT7KNmPBWxpbLsoGvSf23NXPvQ9/G/E/o3+XYF7N4E8jaSJcRF6yxUClO8//77kVudHetw1113WVx44YXRF4nYfjTZoVWrVu7KK6+0KF26dORWZ0egKIHSsRM6bkURz9EqSH5qiDp8+HAL3+RUtCOtc+fO7pJLLnGnn366hT86J7vomvRfW6GmlAqt3/NJlJIk3+dJbz4A5F0kSwAAAAEkS8gS9arx3Yj9DrjYd+3qSeN3AcXO+GQ3lfV8s0AdWNqvXz8LHXfym9/8xnXp0sVKHorsXFiO5KHy24QJEyxiS7EqD6uvkq7RnKDvddlll1l0797d3XjjjRaaaVIpUMHibiBvYzdcOpWJ2A2XOVqfpJKBkiZ/3lWsq666yj3zzDM29skMkBuUML/99tuRzw7wjUu1rig7d8AhObAbDvFgZgkAACCAZAlZomZ62mWkj55Kb82bN7dQiUPv2BW8M0NOU18lHaysOPRIE0+LrLWgW+UxAMgMkiVkiX8hil2npMTIr1PSNLZKHL5LN5CTlCBt27bN4kg7zNQBXrvRfMkFAH4Jr2YAAAABWVrgrSMlfAPCUaNGRRfGaer7SFPeeY16r/idMX63lmZGsrvPSrLQ/10N8uS8885zHTp0sHGlSpUy3EX28ssvW48lNXu8/fbb7TbtODvnnHNsrEXzt912m42TlY5xUQ8cefzxxzm3K5f5TQK6Hvv27Wtj/e42adLExrF0BtzatWttrOvzs88+s3EsPV/puk9WKoP7BcojR450kydPtrGe13QOHsL089dzmOhIJM2Ui2Yb/bWmswJ/6dzK3KJ/l47vEZ1B2KtXLxsjsbKULKnB34wZM2z8+uuvu3feecfGOhAyWZIlHKxIkSLW7Vquvvpq29osKqmVLVvWxrF0lpaeaPQz11Z9yW/JkhptqiWC6MWZZCl36RoVXadPPfWUjdWlvU2bNjaOpQaPSpjkzjvvtDd1h0r2ZGnRokXRc+70++gTQr2BIVnK/5Qsde3a1cbayf3www/bGIlFGQ4AACAgSzNLmt5WozdRr5JPP/3Uxsn0znvq1KnRMlypUqXso95l6qyoVKR3KX66+Ve/+pXr1KmTjfWOJaOmkqkws/S///3P+kiJ+m8xs5S7/PWpcnHv3r1trGsuoz5fqTCztHTpUjdv3jwbv/fee27ixIk25jrNnNgynB5Lv1lFC/99c1CdPemvu7zotNNOs4/apHDvvffaGImV5Zkl7XBSFCxYMLrryTcfTIaI/QXw/xdFRvdNhdDPT1v8FXocfPKUl58oEi32McjoMSNyNvzzjCLVr03PPw7J+jycm3Ho9eT51zVFRn8vL0XsaxdyRpZmlnQgqbqfyueff+6++OILGyeTMWPG2KyI6N2paE1Es2bNbJzKLrjgAnfRRRfZWO+y/MxbrOeffz46s/SnP/3JbstvM0tvvvlmdNFnRh2gkTvUz0vHhIjWL/l317E0s+R7gGlmSc9Th0r2mSX9H/3zsDYjTJs2zcbIHLWV8NUFVUp0dJPUrFkzel3oCJq8nJSffPLJ9lEzS37TAxKL407ScdxJ5mlh/86dO20xqY4HkPyWLCF5aceuf/G79dZbbbnAoZI9WcLR4bgTxIM5PAAAgACSJWSJSpaK2Hfme/futWltRW60kND396Hvr2ALdWrSbICuTcWR1nPk5jWi76kytkLXK4DkQLKELFH/pdq1a9tHT2UNNStVxJ4Zl1P0/f0RFyrDxJZikFq0lskfvVOsWLHIrQfLzWtE31ONEBV+3QyAvI9kCQAAIIBkCVmid+7q7O27fosOLNXxIAr1LFH3a4VmfHKC3qX/8MMPFsOHD3fDhg2zYyC0S0jhj+hBatGRPXXq1LHQdmtPu8mWLVtmx4bkBM0grVmzxkLHLb3//vvR0HWq0KwogLyLZAlZovKGXnxiy3Ba/6FGgAq9CGm3icIfGZJoX375pW2hVuicJO1q6dOnj+1wVGR0Phjyv8aNG7t27dpZqO2Ap4RlwoQJbvr06ZFbEkstV2bNmmWhpq46s+7Q0H0A5F0kSwAAAAEkS4iLdh21bNnSQu/gPZUaNNOj0FECiaISn3o9KcaPH2/HWij8DiN14VWTOYXvnYLUov5pJ554okXs7k31XtIspK4X9QxTJHJnnMp+o0ePttDY05Ea9evXt1A3aQB5F8kS4qJkqVWrVhZNmjSJ3OpsN5y6pCu0lihRtA7Er5MaN26cnVOo8MmS/n1+V5TWriD1VKtWzZrQKmKTJa0VGjFihF0vPllSKTlR9KZBpWBF7BuIGjVqRP99sWuqAOQ9JEsAAAABBQemi4xTwuOPPx5dTFmrVi37WLJkSdelSxcbI3N0bpJKBzpDSU0qP/jgA7td5Qyd2O93GmmXz8yZM13RokWt743+XCWyeM5d8qU3fdRp6/qeWqirkp/fTXTCCSe4ChUq2IzSLbfc4qpUqWJluNgFvkgNui51Lega+Prrr+26K1++fLS/kq5BzUR+9dVXdvyFNi7o2tIJUPGUxfT31GxS1/iKFSvs+tS1r/KbrlE972i3qC/59ejRw5199tn2O6TvTSkuZ2jjiT/7UaVYf/TJ6aefHn2e0M+FQ2oRi6sBcdELz0knnWThk07RAbt68lF8//33bvLkyRZqAqgXCUW8xxGqVOI7hc+YMcMOclb4g5HluOOOs+RIpTeVORS6DalHiZG/BnQ96LpQ+ERdiZEvj+ka9deWynLx0HXtr3ElZP7a11mUvnWAvr6n9XT+d4gyHJC3kSwBAAAEpKW/G4rvbX6S0mJKvdMTnZAv2jWjfjzIGr8oViW31157zcZ6J+3HKm+WKFHCxnqXr1KcXHnlldHZnkaNGtl0t97t+z9XaUTv+kULxn1TSfXHUVlDVOZQSU40s+QXdqshpd6lqwTjf76AymD+eunUqZNdu7rufNlFJWLtThPtTtMuT9Fzg79WS5cuneEMkHZjiq5D39NLpejZs2fbWCViX/a59NJL3VlnnWXjyy67LNqvTBsS4ilNI+vUA86X3gYMGODGjh1rY/Vn8ztn+/fvbz8TwGNmCXHTGguFkiK/BVrrQzztVFMipVCSM3HiRItFixbZFmqFXkS0jkOhFxuFXtT8bSrf+bO09OLjSxv6mn43nE+UxHdsVokD8FSK89eGT0p03fhrSEm5v7a+++676DWn231Het3PX6OxocRd17J2un377bcWKkH7a98nSqIXY/+7UqpUqejvEIkSkLeRLAEAAARQhktHGe7o6BLyJTktYtUZbaKSmPrZiG73ZRCVyPxOk9ip7th31/6y1Lt/nT0n+h5+J9Gpp57qKleubOObbropOn3evHlz+zoKdrPA03XkryldnxqrVDZo0CC7TTOYvpyma9LvTNM15K+jI11P/trX1/SLw1VS9tekdlap5CZazO1nPfV9uEZzHmU4xIPfVBw1JSZay6HQi4TWdiiUFGnX3KGtArQeSes4FL7cplC5woe/TQmW36XkEyXRE5n/nipn6GBfhf9+vAghlq4Hf23oIGh/GLS/hnxyJLrO/DWnMpsv1cVen7Hhr2XdX4m9QomT/35qiKlrVKHfD/89uUaB5MFvK7KVXgCUyCi0aNYnMf7FQqHbffgXjiOFXmj8fbVY3CdifvG4Qi90/oUJ+CV+1lHXi7+GdD3FXqta+K1Qwp/RdRkbuo9CiZC+jg//9fR1/NokEiQgOVGGS0cZLvF04rpKcaLT3vWOXaZOnRots2VETQV9Hyed8VW7dm0b161b116IgOygmaFly5bZWB/9Tra5c+dGSzZHomtRlDCpsaGonHPmmWfaGHkLZTjEg7c5AAAAASRLyBEqUfgynBZm65BThY4n8SfDZxTa6u3vW65cuWh5hJIbspPKY76cpmtUHb8V6oOU0XUZG1qwrVB7Ar8eSqU9APkHZbh0lOEAIDVQhkM8mFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFkCAAAIIFlCnrB582Z36623WvTr1889/vjjFp9//nnkHkDuevfdd93DDz9s0bdv3+j1mmInRgEpiWQJecLu3bvdvHnzLHR20/Llyy02btwYuQeQu9atW+eWLVtmMX/+/Oj1CiD/I1kCAAAIIFlCnrBz50736aefWowaNcpNnDjRYtGiRZF7ALlr0qRJbsSIERaffPJJ9HqlDAfkfyRLyBP0gqNSnGLPnj3R2Lt3b+QeQO7S9eiv0dgAkP+RLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLAEAAASQLCFPKFSokGvevLlF48aNXfXq1S3Kli0buQcAALmDZAl5Qlpamjv22GOjccwxx1gULFgwcg8AAHIHyRLyDJ8oaZbJB8kSACC3kSwhTyhfvrwbM2aMxYcffuieeeYZix49ekTuAQBA7iBZAgAACCBZAoBM0Lq6jAJA/keyBACZoA0HhQsXPiwA5H8kSwAAAAEkSwCQCbVr13annHLKYQEg/yNZAoBMuPDCC92NN954WLBuCcj/SJYAAAACSJYAIBOOO+44V7NmTYtGjRq5k08+2YKZJSD/I1kCgEyoXLmyq1OnjkWzZs3cqaeeagEg/yNZAgAACEjbly4yTgkNGjRwc+bMsXHbtm3tY9WqVd3QoUNtjOyze/dut2fPHhsvXLjQ/fjjjzaePXu227Ztm42nT5/u9u7da+OMlCpVylWsWNHGNWrUcFWqVLGxfo46IkV0ntzRlkKGDBniZsyYEfnsgGeffTbhZRY9Nu+//76N16xZ45YvX27jM844w9WrV8/G2nVVtmxZGwOI34IFC9ySJUtsPGDAADd27Fgb9+zZM/pc079/f+urBXgkS+lIlhJj586dFjJx4sRoEvD5559HE6fhw4dbUnUklSpVcieccIKNmzZt6ho2bGjjdu3a2doRKVasmCtQ4OgmSTt27OhGjBgR+ewAJXtH+7V/iR6bwYMH23ju3Llu5syZNu7WrZtr3bq1jTt37uyqV69uYwDxI1lCPCjDAQAABJAsIVupjDRu3DiLv/3tb65Dhw4Wffr0sc8VKjl98cUXFr5MdyQbN2608pjinXfecY888ohFjx49ol979OjRNluoSLGJUgBADiBZQrb6+eef3fr16y2UvHz11VcWSnZ8QrN69erofX4puVEZb/PmzRYrVqxw8+bNs5g8eXL0a69du9b99NNPFgAAZDeSJQAAgACSJRw1zey88MILFn//+9/d7373O4v33nsvcg/nWrVq5a6++mqL559/3r311lsWy5YtcytXrjwodJufQZowYUL0vrfddpvtEFPE7gy76aaboiU5zVzFLuBE6lq8eHG0hHvWWWfZTkrFtdde637/+9+7O++8M3LPxNL17r93bOj3xf/7/EYIAHkTyRKOmtYdqRWAQqUwrTNS7NixI3KP/dv7ixYtalGmTBlXrlw5CzX6yyi0C06hrsn+vsWLF7evo4jdoaaddb6sp511PpDadA3s2rXLQgn9qlWrLPz1uWnTpsg9E2vr1q1Wevbf34du9/8+1toBeRvJEuKmJMmHEiOFnvi9QoUKRRMkRZEiRSy0JbdgwYIWR6LeRgolRf6+hQsXjn4tfW1/e2wfJP/v0NopAACyA8kS4qJ37dOmTbP45JNP3B//+EeL//3vf5F7OHfllVe6V1991eKZZ55xjz/+uEWnTp1cmzZtLDJKmHSbZpEU6qXk73v33Xe7t99+2+K3v/2ta9mypYWSJ693796uV69e7r777ovcAgDA0SFZAgAACCBZQlx0RIlfe6G1Qp5mg3QsiULdcEuXLm2hdUZHy5flFFrPVLt2bYvYr611IFo3pY8qxSliS4MAAGQVyRLioiREu3wUOrLEa9SokevXr5+Fdr6dc845FlqofbS0TklHmyi02+4f//iHhRaEezprTqVB7TDSbiiFFtcCABAvkiUAAIAAkiVkiXaabd++3doEqB+SQtuyPZXhdOCrolSpUpFbs19sKwLNXF188cUWXbp0sbjkkktcyZIlLTQTBQBAvEiWkCXqTeP7Gum0fMWsWbMif+pchQoVoo0jq1atGrk1+ykpU78mhXbJ/d///Z+FGv29+OKLNvbN/9SjCQCAeJEsAQAABJAsIUs2bNhgs0r66KlZpN8Bp11qJUqUsMiOHXCZod125cuXt9C/Rd83p743ACD/I1lClihRWrdu3UHJkhKT448/3kI70/xaoZxKWFSK88mST5S0cw4AgOxAsgQAABCQti/FTnBs0KCBnUwvbdu2tY9aiDx06FAbI+yNN96wE9K3bNnievbsabdpZkfHjsi5557r7rjjDhsnk44dO7oRI0ZEPjuge/fukVHiaLZu5syZNt68ebMtoJdu3bq51q1b27hz5862wxCZN3/+/IMey3nz5tlYj6Uam2ozgo7hSbQhQ4a4Pn36HHZY7mOPPRb9vWncuLGVkJF4CxYscEuWLLHxgAED3NixY22s5zM10pX+/fvbGZaAR7KUjmQp85577jlrSKkO2Wo8Kdptpu37osf0tttus3EyOVKylJtIlo4OyRIyQrKEeFCGAwAACCBZAvIxlfX0LlqhmZXvv//eQjMuai6qSLHJZQDIMpIlIB/bvXu3dV1XqOu6yqcKHS68Z88eCwBAGMkSAABAAMkSELBmzRrrK5XI+OSTT+wsO0XDhg0j3zlrNHM0ffp0i3//+9/RI2datGgRDS3C125FRf369aO9sR544AE7HuaJJ56IzjypPJdfffDBB27kyJHu5ZdftkXeiY577rmHUieQ5EiWgADf7DKRoQ7kvplmwYIFI985a/RirJKbQrsVtSYpo9DZfoqNGzdaY1GFynOx65d85FdqfaFQgqm2DYkOJZ8AkhvJErJE22l9xNq7d68F76Bzln/clST5REgvzrHrkfzPS13NfVKWlpZmfyZKknzC5Nc3KZkAAOxHsoQsOeWUU9xpp53mmjVrFrnF2WJh/y76p59+ityKRFNiunr1aouJEydGS2x33nmn9ZJRFClSxJ155pkW5513XrTcp95Y3iOPPGKlOIX6DinefvvtyJ8CAEiWAAAAAkiWkCWaqVDEdhtWuUfHnyhUztFMk9+anhO0FscvlvaLnL/99tvorIvW5+RXmslTaJ2SZosU1apVc02bNrU4+eST3UknnWSh7vUnnniihWYITz/9dIsSJUrYz1TluaVLl1roccuvypYta4+TujXHLoBPVNSqVSvynQEkK447ScdxJ5mn9TC6ZLQwWDupDnXFFVe4Rx991MYlS5a0F+JE0zElSphk0KBBtn5H3/u6666z23RMiI64CDnScSdK+HQ0RiKphDZ48GAbz507N3pO3C8dd6J/m3Z1iRLCYcOG2VhHZ1xzzTU2VlKgHVmH0vokn8yef/75VkLV2icdESKnnnqqmzRpko2TFcedICMcd4J4MLMEAAAQQLKELPE7q1SyqVevnkXsjIfeyc+ePdtCZbFE0ayI3yr/ww8/uBkzZlhoN5jKgZoB0+4vRX59h6gdbXrsFXXq1LE+SgqV30qVKmVxpNkKtSjwP0u1LihTpox9BAAcjmQJWaIXX61vUXnNvzhr/Yu3YsUKa/qn8GWPRNCaKL/N/dNPP3XvvvuuxcqVK92qVassUStWrJhFfi1vqJTUvHlzizZt2rjevXtbdOnSxVWuXNlC5ciMKNn1689UhlbCpbVOAIDDkSwBAAAEkCwhLirf+N1U2mnl6XiQcePGWUydOjV6yr1KY9lJi6BHjRplsXz58mifJ0/lNx0doqhZs2bk1tSjcqXvWK1F+Zr5U3z55Zfuo48+stBjqbKpFkT7Pkx+YTkAgGQJcVKypOaUCu0w9NauXeu+/vprC23h13oixebNmyP3yB7fffed++KLLyz04u+P7vA7jpQs6fwzRY0aNey2VHRosqQypeKrr76y8qVi1qxZltBql9BFF11kcdZZZ0W+AgCAZAkAACCAZAlx0W6q2rVrW6jxYdeuXS3UhM9Tqeehhx6y+Ne//hWNb775xmYzFP48MjVV9NTvxy/e1izI5MmTLV555RU3cOBAC43VF0kRW+LTCe/33XefLXT2C5i1mDlVqcGkn4F78skn7fFR/Pe//40+fipVqpx6xhlnuLPPPttCi8YBAPuRLCEu2rbuO0Zr11WTJk0sYkteixcvtoZvPpQ8KfQCrrVNCpWHfAsAT6U0f5sSIa1JUkybNs199tlnFrHroWITLTUabd++vWvVqlV0a3y8J/nnB2qlsHDhQgslqR9//LGFSqT+8VMjPt+CwCfA2iEHANiPZAkAACCA407ScdzJ0VHPI78TTbuqtMNKNJukhcRSvHhxW3Qtmo3SjI+oD5JopsofK6JLUqU48f2URGegqdmk6DY/G6VT9qtUqWLja6+91maS9LX0PTMrGY87yQxd6zonTxYtWhRtFKrjHnSOn2gxvmb49PPRTjjRDsJ+/frZWD+rZCxlctwJMsJxJ4gHM0s4anqR9U0QlXiqFKdQB2lPSY5euBR6svK75FRaU6is5tcmTZkyJXq7dr3pRU+hw139wbGxZTt9r7p161roe6oRY1YSpfxMSYESHYWSA/+z0YuCPleo1Kmfi3bLKaFQqFSqhNUHAKQykiUAAIAAynDpKMNlH81C+FkfzVZogbFoqlsLvkULjf0OtgkTJkRPv8+IZkA0YyQqVahvkuh4D82QSNmyZaNT5vFOnefXMlzszJB+1f2ve+xs0YcffmiL5LUz8frrr7fbtMj7/vvvt/Hxxx8fLRclE8pwyAhlOMSDmSVkq9iyT9GiRe0MOYXGejFQ6ElI64oys0tNa5n8ffU1fTsAfU2V2xS6XV+TJ7fD6efhHxuVS/3Pxj+OCv1sFBorOfThdySGklkASAUkS0gYv2hboRdirSNSaCbItx2oVKlSdL1TRqF3ev6+Wo/kD8fVi7++viI76N+U0ffPCUpidOq/QrMd/nvrc///PVJi6RMahRbDK7Ka3PgkNnZmQzNPvteVviYApDLKcOkowyEZ6VdXZTtRcuN3Cirxq1Onjo2zQkfSlC5d2sZK1Nq1a2djlQL79u1r42RCGQ4ZoQyHeDCzBAAAEECyBCQpzVSob5JCx8Ko/YJCs02+xYL6J/0Sldq0uFvh+dKpQmucACCVkSwBSUqlt9GjR1u888477oYbbrB48MEHrdSsWLt2beTeR6ajZNRXSR89raOqVq2ahcp6AJDKSJYAAAACCg7UEe4p5PHHH48ezVGrVi37qO3nXbp0sTGQLFSG0xEm2iWoHXCjRo2y21U60+JUzSxpl5x2IKrflcpsKrnpmBMdYqzfg40bN7phw4bZkSjqlj5mzBj7GuXLl7feU5pV8h3Sk40eE82QaTeh/s8nnniiO+WUU9xZZ51l/5969eq5Zs2aRe6dOCqH6ueh7x0b5557rvXO0r9PC+tV+kTi6Zr3/d/0O+MXe59++unRzv9nn302Pw8chN1w6dgNh2SkMpzWKInWKV111VU2jqU3AT169LCxEh+9MIsahPqz4W655Zboi4fXsGFD9/LLL9tYbRvUpBLID9gNh3iQOgMAAASQLAFJSg05/SJslZUuuOACi9jSko5O+c9//mPx9NNPWxla8corr7jXX3/dQqU50TvpTp06WZx33nks8AaACJIlIEkpWfLdvnV+2znnnGNx0kknRe7hrOT81ltvWajU/OKLL1po99zw4cMtdC6cKFnyCZcaUcZ2EgeAVEayBAAAEMAC73Qs8Eay0+zQwoULbbxs2TL31Vdf2Vj9k/ztKrdpd5xo0bZ2ikmLFi1s7MtwoqM3tFMLyG9Y4I14MLME5ANKbvRGQNG0aVPb+qzQ+iW1yFCoBYDeGCi0xklb6RUq3bVv397OgtPtChIlADiAZAkAACCAMlw6ynDIT1Rq84u2/blvor5M/tddZTctEBc1RPTjokWL2kcgv6IMh3gwswTkM3qSVydihTpxq6SmqFmzpu2aU+gNQpUqVSzUqFJJEokSAGSMZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACCAZAkAACAgbV+6yDglNGjQwM2ZM8fGbdu2tY9Vq1Z1Q4cOtTEAIP9asGCBW7JkiY0HDBjgxo4da+OePXu6ihUr2rh///7umGOOsXFWjBs3zq1YscLGixcvdrt27bJxjx49XFpamtu7d6/bsWOH3bZx40Y3c+ZMG2/bts1t3rzZxoULF3aFChWycf369V2ZMmVs3LRpU/sz5A5mlgAAyAZKlObOnWsxZcoUN3HiRIuffvopGps2bbJYvXq1mzVrlsX06dOj99Xf0+cKJXWrVq2y2L17d+S7IDeQLAEAAARQhktHGQ4AUkMiy3APPfSQzQzJ6NGjbSZJOnToYGW4n3/+2c2YMcNu00yRym+i8tyePXtsrPsVKLB/HqNIkSLRf8dvf/tbV7p0afvzP/7xj3Ybcg4zSwAAZAOtUdKaJIUSpS1btlisXLnSQmW6RYsWWSxbtsxt2LDB4scff4zeV2uX9LlC5TfdT6Gy3Zo1ayyQ80iWAAAAAijDpaMMBwCpIZFluMGDB9sibfn0009tpkhUOpNixYq5888/38bHH3+869Spk421+00lN1EZTwvE5a233rJZKPFfo2DBgu67776z8bHHHutq1aplYyQWM0sAACSQ5iT8vISSHh9am6RQAuTHitj7eP5raH0Tch7JEgAACVS8eHGLkiVLukqVKlmUL1/eFS1a1EL9k3zoPvozhcb+78YmTtu3b7fwPZuQeCRLAAAkkEpvF1xwgbvsssvcU089ZaFSX4sWLSxOPfVU17hxY4tu3bq5u+66y+Lyyy+3v6dQCc/78ssvLfzOOyQeyRIAAEBASidL2uapXhc7d+6MbuFMZMRuD/Vt8AEglek5WKEeRBk9b2Z3xD4P51RXbC3mVmgzUVbEluS0rgm5J6V3wzVr1sw+VqhQwd177702TiTVo1Wflho1atgvAACkKr386OgP2bp1a3QXWCKp15HvVfTCCy9Em0QmcjfcZ599Zgu39fyvsltmDR8+PLpzb+DAgW7dunX2dYYMGWK3lS1b1l199dU2RmJRhgMAAAhIuZml1q1bu/nz59vYv3PQTgO1o080nR6tWSxp166dLeYDgFSlIz4WLlxoY3WrfuONN2ycSJrJ8jM+U6dOtc7Ycsstt9guNendu3dcZa8jzSypl5NmhNRLqXnz5nZbZjCzlHekXLKknQaLFy+28TfffGMfc4pKb3Xr1rVx3759XceOHW0MAKlIazfHjRtnY52+36tXLxvnFL2B9c0glSBVrlzZxt27d8/WZGnChAmW5GgpRlbeJJMs5R2U4QAAAAJSbmbp3XfftYMK5dVXX7WPOUUluCpVqtj417/+dZYW+gFAfqMynD+6QzMoTz75pI1zip6PS5QoYeMrr7zSlStXzsbaCBTbBDKzmFnKv1IuWVKi5NvFP/roo9EW9DmhVKlS0V/Gli1buvr169sYAFKRnot9MrB27Vo3cuRIG+eU2rVru9KlS9u4ffv29hx9NEiW8i/KcAAAAAEpN7OkJmT+v+wXeucU7b7T6dKihYXahQcAqUrPxf58MzUH1uxSTlLfI78rWn3v4umtFIuZpfwr5ZIlAAASgWQp/6IMBwAAEECyBAAAEECyBAAAEECyBAAA8pR925e7BZt3RT7LfSRLAAAgd+2a46a82sv9+Xe13Wkl01yBYtVd3dJ1XbVnZ7u8kDKRLAEAgFyzb8tw9/y1p7tTr3rS/fWlRW7yT5E/cPVck3rl3dE1dMgeJEsAACCXLHaTHr/V9Rm6v83CATVc5cGD3QttK7qsHzyT/UiWAABALtjlNn9zj7t30GIXnUyKSOvYz/2/Xqe5ynkhU0pHsgQAAHLe9g/d0PvfdJ8cmimV6Oque6CH61yyYOSG3EeyBAAActgaN/O5O9yf3t8Z+dyr5WoOuts9fHLJyOd5A8kSAADIQfvcrrkPukF/nptB+e0u9/T1TVzpyOd5BckSAADIOfumug8ffNb9b2Pkc69EZ3fFvVe4DkXzyEKlGBykCwBANhg2bJhbsGCBjb/77ju3Y8cOG//lL39xaWlprlChQq5GjRp2W2ZMnjzZrV+/3sbvvPOOHcyrr9O9e3e7rXjx4q5Vq1Y2Th473cZRl7sO7Ye7/UcOe2Vd6XvfcTPuP8fVzHu5EskSAADZYfny5W7r1q021se9e/fauH79+vaxQIECrlixYjbOjA0bNriff/7ZxmvWrHG7d++2cdWqVe3jMccc44477jgbJ43tw91Tl1/ubj50rVKD/u6JLwe6m8vnnUXdsSjDAQCAHLDdrXjvfnfvYYu6T3WnDb7R3ZRHEyVhZgkAgGyg2SQ/+7Nr1y7nX17LlCljH1VC02xQZmlWac+ePTbevn17dKZK5TfR1ytatKiNk8G+Dc+4gR1udn+dtP//5KV1ft599sa1rl2hPFh/iyBZAgAACbbBzXn6LHd6zzluy0FZx4Xuim9eda+3yGv73w5GGQ4AACTWhv+5F/71wyGJUglX9M4/un/m8URJSJYAAEACbXBz3njMPfHDIYWssle4m25o6Y6PfJqXkSwBAIDE2faJG/7CoQ0oy7qy/Xq6+07I/O7A3ESyBAAAEmS7WzH8ITdo/P7F6VFlu7nbftMsPWVKDiRLAAAgE3a4LQvedO8+cr3rceWVrutfXnPDVu/vA3VEu0a5956e5g5u1l3LHf/3W1y/6oUin+d97IYDAABh+5a7mc93cdfdPt5NjKmnpbX7h3vpzTtc93IZ9Uja7baM7uzOaPe++z5yi6lyp/vXt4Pc7eUz30YhtzGzBAAAwvZOcp89MeGgREn2jbrf3dj7ZffhloN7J5l909zH/x51cKKktUq9r3C/S6JESUiWAABAWMEO7qqHO7l2JSKfR/3kdrwywP32H2Pc3EPqVHvn/9e98s72yGcRSbZWySNZAgAAv6CIq9j+ZffKmx1d+5KRm6KWujUP/Mld9cYCt//oYFnrvh32hnv3oJmoEq54n2vcbUm0VskjWQIAAJlQ0lW94Cn36IOnuBMitxww2U2+6W/unrnb9n+69UM3/IXl+8deiU7ut1c0ceUinyYTkiUAAJA5adVc4z+84V76c3V3WEVu4wvukTtedh9u3+XWj37ePfndwXW5Apd3cX+of9jfSgokSwAAIPPS6rqW977inr3msHqc2zf87+4Pz73vPh42ya2M3LZfa3f+b89xJydp1kHrAAAAkGX7Vj/m7rmkj/v75EMaTmbkrCFu2KhbXKdj0yI3JBdmlgAAQJalVbrJ3f14N3f+L1bWarlaN3ZwFydpoiQkSwAAIA6FXKkzB7kH7jn+8PVLsUq0d93a1nLJ1VnpYCRLAAAgTse703s/7P7W9sjtAAr85jJ3bc1jI58lJ5IlAAAQv2Kd3LWDrzhCOe4Ud2an09wJyVuBMyRLAADgKBRypVr81f3ljsPbCaS1u8b1blPRJXmuxG44AACQDXbNd9999J77cNImt8WVdEVOPtOd0+4M17Jc8nXsPhTJEgAAQABlOAAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgACSJQAAgCNy7v8DcbWnS7SiCWsAAAAASUVORK5CYII=\" width=\"213\"/></p>\n<p><em>Do <strong>not</strong> penalize missing brackets or n.</em></p>\n<p><em>Do <strong>not</strong> award mark if continuation bonds are not shown.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no change «in colour/appearance/solution» ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«nucleophilic» substitution<br/><em><strong>OR</strong></em><br/>SN2 ✔</p>\n<p><em><br/>Accept “hydrolysis”.</em></p>\n<p><em>Accept SN1</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy/E ≥ activation energy/E<sub>a</sub> ✔</p>\n<p>correct orientation «of reacting particles»<br/><em><strong>OR</strong></em><br/>correct geometry «of reacting particles» ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"106\" 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\" width=\"551\"/></p>\n<p>curly arrow going from lone pair/negative charge on O in <sup>-</sup>OH to C ✔</p>\n<p>curly arrow showing I leaving ✔</p>\n<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>\n<p> </p>\n<p><em>Accept OH<sup>-</sup> with or without the lone pair.</em></p>\n<p><em>Do <strong>not</strong> allow curly arrows originating on H, rather than the -, in OH<sup>-</sup>.</em></p>\n<p><em>Accept curly arrows in the transition state.</em></p>\n<p><em>Do not penalize if HO and I are not at 180°.</em></p>\n<p><em>Do not award M3 if OH–C bond is represented.</em></p>\n<p><em>Award <strong>[2 max]</strong> if S<sub>N</sub>1 mechanism shown.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases/less polar <em><strong>AND</strong> </em>electronegativity «of the halogen» decreases ✔</p>\n<p> </p>\n<p><em>Accept “decreases” <strong>AND</strong> a correct comparison of the electronegativity of two halogens.</em></p>\n<p><em>Accept “decreases” <strong>AND</strong> “attraction for valence electrons decreases”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Naming the organic compound using IUPAC rules was generally done well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance in stating the number of σ (sigma) and π (pi) bonds in propanone; the common answer was 3 σ and 1 π instead of 9 σ and 1 π, suggesting the three C-H σ bonds in each of the two methyl groups were ignored.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp<sup>2</sup> hybridization of the central carbon atom in the ketone was very done well.</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; some identified 2-methylpropan-1-ol or -2-ol, instead butan-2-ol/CH<sub>3</sub>CH(OH)C<sub>2</sub>H<sub>5</sub> as the isomer that exists as an optical isomer.</p>\n<div class=\"question_part_label\">a(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance; some had a H and CH<sub>3</sub> group on each C atom across double bond instead of having two H atoms on one C and two CH<sub>3</sub> groups on the other.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poor performance, particularly in light of past feedback provided in similar questions since there was repeated reference simply to Markovnikov's rule, without any explanation.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; deducing structural formula of repeating unit of the polymer was challenging in which continuation bonds were sometimes missing, or structure included a double bond or one of the CH<sub>3</sub> group was missing.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mediocre performance; deducing whether the tertiary alcohol could be oxidized solicited mixed responses ranging from the correct one, namely no change (in colour, appearance or solution), to tertiary alcohol will be reduced, or oxidized, or colour will change will occur, and such.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Excellent performance on the type of reaction but with some incorrect answers such as alkane substitution, free radical substitution or electrophilic substitution.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance. For the requirements for a collision between reactants to yield products, some suggested necessary, sufficient or enough energy or even enough activation energy instead of energy/<em>E ≥ </em>activation energy/<em>E</em><sub>a</sub>.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mechanism for SN2 not done well. Often the negative charge on OH was missing, the curly arrow was not going from lone pair/negative charge on O in -OH to C, or the curly arrow showing I leaving placed incorrectly and specially the negative charge was missing in the transition state. Formation of a carbocation intermediate indicating SN1 mechanism could score a maximum of 2 marks.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Good performance on how the polarity of C-X bond changes going down group 17.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>Nitric acid is usually produced by the oxidation of ammonia.</p>\n</div><div class=\"specification\">\n<p>A mixture of nitric acid and sulfuric acid can be used to convert benzene to nitrobenzene, C<sub>6</sub>H<sub>5</sub>NO<sub>2</sub>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw arrows in the boxes to represent the electron configuration of a nitrogen atom.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsoAAAD1CAYAAABJJdMRAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAs+SURBVHhe7d1taJ3lGcDxK6UoaOnmFxtKPFSklLTi+qEKE9FJtUhh4fiGoijVBplYK8XCrJtFOtfoVogriiLZLL6h+BY6KGiIiKgUlTKERSSUlbNYojDpQlJccclO4uNq1uvsQ9KjT9Lfrxx6Py+FcOC+nz+HO6ctE3UBAABMs6D4GwAA+A6hDAAACaEMAACJhnuUK5W2YgQAAPNbrTZUjI77v6Gc/QMAAJhPGnWvrRcAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQaJmoK8bTVCptUasNFUcAP5zJ9ajsyrheet9mxvsGp55G3SuUgdIr83rkZ5sZP9vMlPlng7ms0dyy9QIAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhlKayQG+3dHZ3tbVCqTr4uis7svBkfHi+sAQDMJZSil8Rh5e1d03NYXS7r6Y6A2FIc+6Iqlb2yKjq1747BWBoCmE8pQSp/FW8/1xti6jXF3dUUsqp9Z0Hp5bL3vhoh9L8ebB7/65jYAoGmEMpTSOVHt+ThqPdVoLc6cYLg3Oie3Y/z+oePbM676VTx7YDh84AwAsyeUYc74Mg70vRVjZ54Xy5acVpw7HG/+6W9xwTMfxaHaQPTd+I/YWb03nhn0iTMAzJZQhjlhPEYPvBAPP3ss1nd1xqWLv526Z8bKO34Rt1/YWp/Mi2PFrVvil6s/ikf27I+R4g4AYGaEMswB44f3xtabn4u2HU/HrmrlOxP39Gg7t3VqD/OUBWfEj88+PcY+PxJHi1MAwMwIZSi18Rgd7I0Hbt8eh67vioduXXU8igGAphLKUFojMdj7YFy3dmd8vv7J2PPg2mg9Ycb+K744cvT4L++NH40jX0SsvqQ9zi5OAQAzI5ShlI7F4d4HomPzSxFbHo9HN1+cRPKksfjLI93xzKcj9Ugejg8f+108Mnh53L7uXJMbAGbJsxTKaOT9eHzbq/UMHouB7qtj5dT/zPft64Lo7P17ceOZsbLjR/FudWVUlq2JWz/+STy29zdRXfrtt2IAADMllKGMFv8sfvvJUNRq2evj6KmeU9x4erT9dFP0FPd+0rM51i5fXFwDAGZDKAMAQEIoAwBAQijDXNVajZ5p2zAAgJNJKAMAQEIoAwBAQigDAEBCKAMAQEIoAwBAQigDAEBCKAMAQEIoAwBAQigDAEBCKAMAQKJloq4YT1OptEWtNlQcAfxwJtejsivjeul9mxnvG5x6GnWvUAYA4JTWqHttvQAAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgETLRF0xnqZSaYtabag4Aua7yTlfdtYkAJqhUfcKZWBKmee89QiAZmr0nLH1AgAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGUprJAb7d0dne1tUKpOvi6Kzuy8GR8eL6wBAMwllKKXxGHl7V3Tc1hdLuvpjoDYUhz7oiqVvbIqOrXvjsFYGgKYTylBKn8Vbz/XG2LqNcXd1RSyqn1nQenlsve+GiH0vx5sHv/rmNgCgaYQylNI5Ue35OGo91WgtzpzI1gwAaCahDHPGl3Gg760YO/O8WLZk4X+3Zix94oM4VKvFQN/dEU9tintfGQypDACzJ5RhThiP0QMvxMPPHov1XZ1x6eKIo0e+jLFYGGctPqM+kRfEohW3RM8nn8beDStMbAA4CTxPYQ4YP7w3tt78XLTteDp2VSv1ibswWq+4M3as+yy6q+dHpX1jdL/WG38+MOzTZAA4SYQylNp4jA72xgO3b49D13fFQ7eumvrFvimLVsWGnv0x0P9C7O66MmLfzrirelms394fw2oZAGZNKENpjcRg74Nx3dqd8fn6J2PPg2uj9YQZuyAWLb80qtUbY0vPO9G/Y00M7Hk99n/xdXEdAJgpoQyldCwO9z4QHZtfitjyeDy6+eL/ieTJ6/dEe/vG2P1hsd1i9GC89+5gxOo1sershVN3AQAzJ5ShjEbej8e3vRpj9T8D3VfHyqmvf/v2dUF09n4eSzu2xfP3t8a+a9fEssnzK6+JF5fcE71P3RTLzWwAmLWWibpiPM3kA7lWGyqOgPmuzHPeegRAMzV6zvjcCQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEi0TdcV4mkqlLWq1oeIImO8m53zZWZMAaIZG3SuUAQA4pTXqXlsvAAAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAg0TJRV4ynqVTaolYbKo6A+W5yzpedNQmAZmjUvUIZmFLmOW89AqCZGj1nbL0AAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFCGOWB8uD+2X/Xz6D4wWpwBAJpNKEPJjQ+/H4/9elvsGThWnAEAvg9CGUprJAb7d8cdV/0x/n3xlbGyOAsAfD+EMpTWP+OvLx+MS17qji3rL4y24uxx34R0Z3tbVCqTr4uis7svBkfHi+sAwGwIZSitc6L65B9iw4rFxfF3jcfI27ui47a+WPrEB3GoVouBvrsjntoU974yWL8KAMyWUIY5aTyOHvkyxmJhnLX4jPpEXhCLVtwSPZ98Gns3rDCxAeAk8DyFOWlhtF5xZ+xY91l0V8+PSvvG6H6tN/58YNinyQBwkghlmKsWrYoNPftjoP+F2N11ZcS+nXFX9bJYv70/htUyAMyaUIY5bUEsWn5pVKs3xpaed6J/x5oY2PN67P/i6+I6ADBTQhnmpGNxuPeeaG/fGLs/LLZbjB6M994djFi9JladvXDqLgBg5oQyzEmnxdKObfH8/a2x79o1sWzy6+FWXhMvLrknep+6KZab2QAway0TdcV4msnvZa3VhoojYL4r85y3HgHQTI2eMz53AgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCARMtEXTGeplJpi1ptqDgC5rvJOV921iQAmqFR9wplAABOaY2619YLAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASLRM1BXjaSqVtmIEAADzW602VIyOaxjKAABwKrP1AgAAEkIZAAASQhkAABJCGQAAThDxH1utwTVLpb+sAAAAAElFTkSuQmCC\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce a Lewis (electron dot) structure of the nitric acid molecule, HNO<sub>3</sub>, that obeys the octet rule, showing any non-zero formal charges on the atoms.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the relative lengths of the three bonds between N and O in nitric acid.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State a technique used to determine the length of the bonds between N and O in solid HNO<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write an equation for the reaction between the acids to produce the electrophile, NO<sub>2</sub><sup>+</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the carbocation intermediate produced when this electrophile attacks benzene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the number of signals that you would expect in the <sup>1</sup>H NMR spectrum of nitrobenzene and the relative areas of these.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p><em><br/>Accept <strong>all</strong> 2p electrons pointing downwards.</em></p>\n<p><em>Accept half arrows instead of full arrows.</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"139\" src=\"data:image/png;base64,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\" width=\"188\"/></p>\n<p>bonds and non-bonding pairs correct ✔</p>\n<p>formal charges correct ✔</p>\n<p> </p>\n<p><em>Accept dots, crosses or lines to represent electron pairs.</em></p>\n<p><em>Do <strong>not</strong> accept resonance structures with delocalised bonds/electrons.</em></p>\n<p><em>Accept + and – sign respectively.</em></p>\n<p><em>Do not accept a bond between nitrogen and hydrogen.</em></p>\n<p><em>For an incorrect Lewis structure, allow ECF for non-zero formal charges.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any three of:</em></p>\n<p>two N-O same length/order ✔<br/>delocalization/resonance ✔</p>\n<p>N-OH longer «than N-O»<br/><em><strong>OR</strong></em><br/>N-OH bond order 1 <em><strong>AND</strong> </em>N-O bond order 1½ ✔</p>\n<p> </p>\n<p><em>Award <strong>[2 max]</strong> if bond strength, rather than bond length discussed.</em></p>\n<p><em>Accept N-O between single and double bond <strong>AND</strong> N-OH single bond.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X-ray crystallography ✔</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HNO<sub>3</sub> + 2H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>3</sub>O<sup>+</sup> + 2HSO<sub>4</sub><sup>-</sup> ✔</p>\n<p> </p>\n<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O + HSO<sub>4</sub><sup>-</sup>”.</em></p>\n<p><em>Accept “HNO<sub>3</sub> + H<sub>2</sub>SO<sub>4</sub> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> H<sub>2</sub>NO<sub>3</sub><sup>+</sup> + HSO<sub>4</sub><sup>-</sup>” <strong>AND</strong> “H<sub>2</sub>NO<sub>3</sub><sup>+</sup> <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> NO<sub>2</sub><sup>+</sup> + H<sub>2</sub>O”.</em></p>\n<p><em>Accept single arrows instead of equilibrium signs.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"200\" src=\"data:image/png;base64,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\" width=\"243\"/></p>\n<p> </p>\n<p><em>Accept any of the five structures.</em></p>\n<p><em>Do <strong>not</strong> accept structures missing the positive charge.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Number of signals</em>: three/3 ✔</p>\n<p><em>Relative areas</em>: 2 : 2 : 1 ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing arrows in the boxes to represent the electron configuration of a nitrogen atom was done extremely well.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing the Lewis structure of HNO<sub>3</sub> was performed extremely poorly with structures that included H bonded to N, no double bond or a combination of single, double and even a triple bond or incorrect structures with dotted lines to reflect resonance. Many did not calculate non-zero formal charges.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poorly done; some explained relative bond strengths between N and O in HNO<sub>3</sub>, not relative lengths; others included generic answers such as triple bond is shortest, double bond is longer, single longest.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A majority could not state the technique to determine length of bonds; answers included NMR, IR, and such instead of X-ray crystallography.</p>\n<div class=\"question_part_label\">a(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many had difficulties writing the balanced equation(s) for the formation of the nitronium ion.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, many had difficulty drawing the structural formula of the carbocation intermediate produced in the reaction.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Deducing the number of signals in the 1H NMR spectrum of nitrobenzene, which depend on the number of different hydrogen environments, was done poorly. Also, instead of relative areas, the common answer included chemical shift (ppm) values.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-1-3-electron-configurations",
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>Standard electrode potential values, <em>E</em><sup>⦵</sup>, can be used to predict spontaneity.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Iron(II) is oxidized by bromine.</p>\n<p style=\"text-align:center;\">2Fe<sup>2+</sup> (aq) + Br<sub>2</sub> (l) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2Fe<sup>3+</sup> (aq) + 2Br<sup>−</sup> (aq)</p>\n<p>Calculate the <em>E</em><sup>⦵</sup><sub>cell</sub>, in V, for the reaction using section 24 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine, giving a reason, if iodine will also oxidize iron(II). </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Molten zinc chloride undergoes electrolysis in an electrolytic cell at 450 °C.</p>\n<p>Deduce the half-equations for the reaction at each electrode.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the overall cell reaction including state symbols. Use section 7 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>E</mi><mo>⦵</mo></msup><mtext>cell</mtext></msub></math> = 1.09 – 0.77 =» 0.32 «V» ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«2Fe<sup>2+</sup> (aq) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2 </sub>(s) → 2Fe<sup>3+</sup> (aq) + 2<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup> (aq) »</p>\n<p>no/non-spontaneous <em><strong>AND</strong> </em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mtext>cell</mtext></msub></math> «= 0.54 – 0.77 »= –0.23 «V»/ <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>E</mi><mover><mtext>O</mtext><mo>¨</mo></mover></msup><mo>&lt;</mo><mn>0</mn></math><br/><em><strong>OR</strong></em><br/>no <em><strong>AND</strong> </em>reduction potential of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> lower «than Fe3<sup>+</sup> »/ 0.54 &lt;0.77 ✔</p>\n<p> </p>\n<p><em>Accept “standard electrode potential of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi></math><sub>2</sub> lower /less positive than iron”.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cathode (negative electrode):</p>\n<p>Zn<sup>2+</sup> + 2e<sup>−</sup> → Zn (l) ✔</p>\n<p> </p>\n<p>Anode (positive electrode):</p>\n<p>2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup><br/><em><strong>OR</strong></em><br/>Cl<sup>−</sup> → ½ Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ZnCl<sub>2</sub> (l) → Zn (l) + Cl<sub>2</sub> (g)</p>\n<p>balanced equation ✔</p>\n<p>correct state symbols ✔</p>\n<p> </p>\n<p><em>Accept ionic equation.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 50% got this straightforward calculation right, the most common error being to multiply both <em>E</em><sub>0</sub> values by 2, reflecting a lack of practice with this type of exercises.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 10% were able to correctly justify the feasibility of the reaction with I<sub>2</sub>; the MS showed the best answer using the E(v) values but also allowed simpler explanations referring to E<sub>0</sub> of iron; even then many candidates wrote Fe<sup>+2</sup> instead of Fe<sup>+3</sup>, understandably perhaps as this was mentioned in the question. However, it also revealed some difficulty in using and understanding data from the <em>E</em><sub>0</sub> table in the data booklet.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>3(bi)/(bii) Answers to both these questions revealed that many candidates struggle to conceptualize the equations that describe electrolysis. The question asked for products of the easiest case of electrolysis, a molten salt. However, many candidates proposed oxidation or reduction equations at both electrodes, or Zn and Cl<sub>2</sub> (with no charge) as the initial species rather than the product; the average mark was 1.2/2 as only 55% answered correctly.</p>\n<p>The determination of the states proved to be even more difficult, with many stating the ions were aqueous in spite of the fact that the question is clearly about molten zinc chloride. Allowing ECF for the overall equation allowed marks for many candidates, but very few realised that both ionic species in ZnCl<sub>2</sub> were actually liquid (being a molten salt). As a result, correct answers were below 45% and the average mark was 0.9/2.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "structure-2-models-of-bonding-and-structure"
+    ],
+    "subtopics": [
+      "structure-2-2-the-covalent-model"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p>Hydrogen and iodine react to form hydrogen iodide.</p>\n<p style=\"text-align: center;\">H<sub>2</sub> (g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> (g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2H<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> (g)</p>\n</div><div class=\"specification\">\n<p>The following experimental data was obtained.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>Consider the reaction of hydrogen with solid iodine.</p>\n<p style=\"text-align: center;\">H<sub>2</sub> (g) + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub> (s) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2H<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> (g)     Δ<em>H</em><sup>⦵</sup> = +53.0 kJ mol<sup>−1</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the order of reaction with respect to hydrogen.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the rate expression for the reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the rate constant stating its units.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> conditions necessary for a successful collision between reactants.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the entropy change of reaction, Δ<em>S</em><sup>⦵</sup>, in J K<sup>−1</sup> mol<sup>−1</sup>.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAM4AAACGCAYAAACVFLXFAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABgwSURBVHhe7d0LWBNnugfw/6bUG8pB1guiRERTuVSNCG63ehS1CmsXm4XVurVYKpR6q9bVrbeVdamX2lpQWy9LvWRFWrcq5qGUY0WEetS1CMhRQTFFMJWLyiJysUIlc2YmEwghIIwEEN7f88xjnEyGYWbeme/7JrzvrxgWCCHNIhH+JYQ0AwUOISJQ4BAiAgUOISLQ4EATSKWDhFeks9JobguvdChwmoALHOMdRzoPU8efmmqEiECBQ4gIFDiEiECBQ4gIFDiEiECBQ4gIFDiEiECB0548LseVS+m4XVQmzHhGaDVQzR8LeXgaHguz2g0zbRsFTrtQCeUnC+Hp5o3VH23A/Nc84TnnA5y/phbeb8e0hbj4+d+xOi5fmNGOmHHbKHDa2M8//4yThzZg477zGDl9AoL+9Cb+e4YvBpf8LxYt/zt+yssTlmxbxcXFUKvVRtN15B7dgHV3ZPB1sRSWbH1tsW0UOObGXvXSVGEIch7Ef3VDKh0O77VKJKlL+bdv5/4fTseewdBX/ODQrw9u3ryJ55/vjlHjx6B/hSV2fhXNL1frEdTKOZA6hyCpVCvMa0gRktaOZ3/meKxNKhLmGdFmQTljOLvMHCjVj4SZLG0+kkJ8dNvsvQE7P18BnymTMKXOtBj/M2gxTmycA49BXYUPtgYtSpNC4Mxt2wwlvjrwQatvGwWOWZUgbfsCKJaE4WSFMAsVyIz8K+bOWAdVfhUG9e0OCfMcfko+ie7du9dMt+8+wJ17l/HCS9OEz+mVI099C5A5YmBPcx2+UmQdDMUC5SXA0g879n+ARYu34puERCTUmXYjYPRg4TNt5zdvfdzq20aBY06l6TgWcZF9MRoBB5ORq7kNTeZxLOOaDhUnsP9kDrr2GYU1fwtAt19Z45cevTBq1Cj06tUdlhXFGPi7uXhr/HDduvRKryI++h7kvr/FULMcvSrkq9ZBERKLCsvfI1T1IRR2XWBjYwOZTFZv4oK8rf1XG2wbBU6ruIP8S8lIL6wCenpg2YksaDRZiAkYzh+Ani6v4+MFL+LIp3uwdfcuHN27E2cfueGz9W/hOd0Kamjv5OJKRV+McPi1GQ5eFQqTPsa8JceEoPkYAcOthPeaT6tWYgbXnHJeAWX850JzdSyCdpxHobYUalUIvPn3AxGeoGbvpXpalKuToFwrNBX55m0U0rj9115wf1ZAGmdvP1B41UzVt5jj73rwn6+ZvNYwB2JSmYJqYRlDv5Qxl9MuMT/dKxVmGPuZuXHgDcbeaR2T+MDUCozdYxLXjGN/7jhmTeI9YZ6R6uvMAZ8X2GVmMWHHdjOBTtx2vsB4hSUzZcIiYlXfOMD4GP7uNZMH81bgLMapzrw3mAM3fuY+xZSlbme86rwnTE5LmON5lfwyDxLX6T7vc4C50ZRd8RS4n22M7jjmJJFixvrNCDAc1cn8J0IWzcBY1/lQZukGCGpY9MSI0XIM6tNLmGHMnP2bcwh/f4PQF2P7YeGb8EVaCf/O09M3Va9CtcyD/X8+Tp+zxeYLN6HJTUConNs/t6DO4+45xUg59jUyYYdpK75Gci7bvM1NxsGA0exmHcPqnefZHljbo8AxM4ntFITGfQ/Vzq1YNs1OmMuqiEXIX6KhftLAmCHtf5B7pdSM/RvuBP8e8aET2dcXEb5e1bzta4jlaEx2s2VPtm7o1buHbpbvHzCZ7TtB8ms4jOjLz+PxfbhcdgFvvBnwEmy531Nihwn+fpCzLyuu5OJOS2zTU6LAaQ0SW7j5zMayvexVNzkGO5Z5gb8HqW8ir7zpZ4E2+9+ITrdqoH9TO0TrvDZJxFWZC5p/YL3nUAz/4/u6AYz0Xfg0RsOumRijwDEbg2cN3huQJHRsJbbD4Nz7ef5185pcbIc57ybUGAzZwJ7CPEMS9BzoCBn7qiL1Mn7kAlL7ECX/4X5uQ58xZAXHgTa6E6LnGASuep0N7nzErf4UMfmt2Cm3ehFTfR3YX+IEDikvoJCLWm0+zkQeQzq7RS6TXDGgHZy1FDhmI4GVuw+CuSt35h7MHesojBC5YCo31Mu24afPm9yMJlcx0uJPo0I+FeOGdhPm1SUZOhnzprPNwcyPoXCRQurwMpbE5cNy+kxMa+AzprHbPiEIm7l1cf2K0Djkt9ptxwbufrPgwgbtya2zMNaB3WcOYzGXe6bk4o9VfxqFJ10CWgMFjjn19MBS5VfYGfoWeyLUspz2Z2w7GIWtCmnTDwDfv7kHyxEO6N/Qh/jBiJ3Y6M92pHnsFdp/C6LWT4ddc480t67lC3X9irhNCG21Jht753RbjKMJhxBq9HuolB/A05btF7UDlOWmCUxlOSGdh6njT3ccQkSgwCFEBAocQkSgwCFEBAocQkSgwCFEBAocQkSgwCFEhJoHoNxDHkKIaY3Wx6En5KbRfunc6JsDhLQQChxCRKDAIUQEChxCRKDAIUQEChxCRKDAIUQEChxCRGjhwHmMQtViSOVhSKtXxaccaeFeDbzXgPKLCPd+HeFNSoxXwq7/dXiHXzRIpUp0aW03wNvEftcWXkRkTZrZsQgKj4faMF1VuRoJ4YG6TD3cxKWqVaXpMs80yCC1LTd5r0VkWmGHSzHVju84bCB8sQkRYxYg0M1amNcYa7gFLsCYiJbMQPmsY4Pm4n78dcEeZApzamg1iFm/CJvuzEJ8pga5yZth991izFgRI2S0eQT10fV4OwJYcCwFuZqbSN49BN8tWYLPzjRQMkRI2D5jTxesSuaydCbj4NjLWDtnc+ummGoF7TZwtPlJiIjogZUBL6HJab+tXkLAyh7s55JaMZ1RO8XfLRbA+x9leNlXny2mljb7NPbHdYHvm7/D8J4SSGwnYuH8qaiIO4Xku+ytSXsL56JTYBO8CAs9uCycXWA7YSZmy+8hOv6q6YSHpeexc/UJyGbPxAQuG43EDp4rlsMfiYhNviMs1DG008B5hOyTRxAnq5tDTFt4HjuCxtY2LT7ZgCDnkQhS/SQs0Q1Dx02FLO4ITmYbFEnqjMozcCTDE//athTTPerXiZHIAhCjOYuNnn2EOUbKC6BWd4X7kL6wEGZBMhAjJzk0mIb28Y9p+LbCHb7jBteeWFae2HjtMvYq7IUZHUP7DBz91W7SSAzRbyHb39ke8DZ24z2habENI7NiDAo26UiGjMQkmxREn7vVuVO32iqwZ68/fzd5Mq6sRiw+23MGLgF/wEv92FB5WII7Rvu2hqYYZfV2rhYPS0tQiedxP+Mw1npzVd6oj9M8xWFQOAqdw5rJCYrwDGGBJ7h7DWfTDa92WpSmfIOITHesXDlTaFq8jMUrdQnz6rDoiyHuXZF+9hruCrNIY36CKkgOlymLEXnLA9N9XNFP1FnBBk5JMSpwChGxj6BQXoGG6xet6o4oxXIcNCyT2AGYJ3Bs/gzVzdv8V7Frp+tQLXMVFmiKAXCV9hZeP8SPl35Ahc0YjBxS23ST9HfACIMKGjq9IXUdwAZfiYmrIqnPHoq9l3UnOdv5j/ObgYWqp8naOZG9uAXAg8+4qe8XpWBbbGb7K+X+FMwTOOQZpD/JHyAuNg13+0jhaiO8ZUxqg171zhwL9JE6woa9cFn3qukVsWdYD1j364rKolL28tdxtF3gGFY1dg7EjovG7eACZGjuC697YNjo38CyOBWXc2pv+bqyfsJ/atyHJqMA6Gdt4uASHX0lBaNK0wLL/tboIbFEb2klzl3MNhhB0+3bhvJXWwxzw6uWecjJN3iSxlVMYNvMMtmAdpEsvaW00anFHrgze/D+3UBcyNUgM2oU4j48gWx95PRzxnh5JVJy7gm3d33m/xRs2XIEWdxDuvIMHNyyC+n8+wYe30NOSiXk453RT5hFjOn35xUcjr0iPDCuQuGZIzic7oJgPzmsJIMxztcdFdGHEc1XjuMepP4Te05awXfqi6YfEVjJ4RcMROz6RneM9OtUT8K8aUM6VPOmjX4X9sB5hiJ9jwJ2Egl69LJiGwoGhINWnHgZOfpg4jP/H8ACfIapXAkLl1VQu06qUwWAo825jMRioyFRUh+/P/dhTlEoXPjBG0dMOmSFvyT8E8v4B87dIPtjCHb45iFkqgv//ti5P2DMxnC8N0EYwi5UIYj9rDw8TbjAWcNt6W5ETbyOpdwx4j7zURXmx+gqV3coXM4BPVNFQs2uOo9JXLeIWZeYxxjWQK3OO86866QvqGqarjirYWFYXXFZp3ePM3ktWFC1TfYLaTfaYfHcUmQdDMNhxwX4wNOuzh1CYueJ4OCH2KK8wC6lb5P7ICQpX9cXKs9CjPIY0l1mwc9d6MWWXoByy0P2c57NrwdDSHMIAcRr1Str2VXmQOA0JvDA1YbLgpclM2Fes5iw1Pvs7aWAST24xqCM9wuM15pDTGoBV76bc59JDZvVImXGjdEdp3MzdfzbKD3UI6iVgZgS8r3wfxb37Cflz3AzGMlsL1pvv5D2yNTxp7xqTUD7pXMzdfypJ0CICBQ4hIhAgUOICBQ4hIhAgUOICFTmg5AmoOFoEWi/dG40HE1IC6HAIUQEChxCRKDAIUQEChxCRKDAIUQEChxCRKDAIUSElgscIXED97CoZgpSoVB4u1FNLuehRXnaDnh770CaYTkK8kTawgSEePuw+9hEERQhVVdt0g09LjWuqjadrdQHayMvPqHMh6DBdXYQ3DcH9J7+T4R1yTLs7RtPslEX9yfPCsZpTSLzQJjTuHtM4prJZvkT6YY86386XV1wjtke6MH+HtOYsFSjvVZdwCRvn8c4sb/jqLBU5hdhNkeXMOX3QiKVSqYg8UPGy96Deff4rTqJVeppZJ3PIlPHv4WbahboZc2lrTXK5tiI5pfz6IMJAf7oEnEIpzpYzZWWVwp1wg4Ee+9D9ctTjVJpcXeTeIQHv4V/VI+Gr4txLuEinNm5FXEyP/hP4BKpdIGt53ys8u+iy/QpLFXXk9bZcbRxH8dUOQ/dwQ5y1jf56lcKkwz9LXxlidh/MkeX8YY04AEyjmRj/L/CsWy6B+p+jZc9yTNOIWN8GLYtew0eg7oK8wWPNbj07T3IfX+LoTVnSR94bjwLzV4FbIU5dT1hnR1I2wZOvXIeXBqorZjxdjzsdicjV6NBZvx7QMRiLD+qrg0Svk7LAKRH/7s2+ycxwR6KPdsRMNzUvdwCtoot2Bvgajo17cNSFFV2hc39S4iqKXf4pD7OE9bZgbRt4Jgo56ErFWGB3lY92I2ToOdwf+y9loWYgOEGG9sNdkNkQHoKMrjqYaTl8fVxinE6Ih73FV+wF7HbyE1+H89FBSL4YFbtRayTatvA4RmW82CvWK8sQOi0PIQrXtQVa41W4Zt6hYn0mfHvo6SMAsd8LCFf+QEW86UM2ZPFdhz8Z49A+rZvkd7Jd3s7CBwjPV0RsPcCMhO+xI7NU4G4TVikmIjpIQlNGwYlLYMv89EV/ay5O7+eMPhTWYLSh537YJg/cJpVzkOPbaLJJkChmI1le88gIdQdmcrjuFDTLHuMIs1NFDdj9I40k4UUo1/ti9s5hQbl7x+jrIQ9VjJHDGxSicSOq4V/e2HH1jShmlvOgyv3vRTOhgFWno1zZ9WA3B2uXG1K3iPk5xjPIy3LBu5+rwER+3CUL/PBHs3Cc4g8fAvT5002GGnrnFru1+e/OTBMSGv7PUKmDIM0KAYPm1XOowvsZqxG1BpbxPm5w4G7S7n44nD/pVBFvAGZfmu1ebicWGA0VEpaFnvXd5sPZdR/Q73Ug28xOIzdhur5+7BVIRVOHK5+6EhI5WFI62x9HuFBKM+sT8ifopyHMb68h9MS5niePuG6eT3r3xwgT6cVvjnQkKaW82iKIpxRRqIq+E280tGKFZFnhvkDpzwDyqCZ+ARvY6vJB2PWcHtnDYJTd2Nfk77k+SU+Sn0Nm94Z0+EfspH2y8zpoZ6tch4Nafn9Qp4lpo4/5VVrAtovnZup409jUoSIQIFDiAgUOISIQIFDiAhUrYCQJqBRNRFov3RuNKpGSAuhwCFEBAocQkSgwCFEBAocQkSgwCFEBAocQkSgwCFEBAocQkRo4cB5jELV4gaSN5QjLdxLeE9YTqrPD81NIxGk+klYVo/7i8/mlPUoYX/G6/AOv2iQ0qgTK1cjITwQzvp9zCV4TFAb7BtTebpVSCs0TGbPLqMKgbd+Hd5rEVkvQaSR8iyoatLmDof32iijdXYA3Fdu9J4+KcUvTMHxRYz9qE+Z1Hq1HcqY1LBpdd+rvs4c8HmBsfc5wNwwVTeiLJkJ85rMrEm8J8xoggeJzBonBROWel+Y8fSezWQdXDmUcYy91zrm+A2ugEr9Mh180hP2/4HbzzEF7IzqglPMOq8XDEquVDJ5x5cwTl4fMokFlVxmFSZx3e8Z+8YSpVTfYo6/O47xWneq7jrfPc7kmTrGz4A2TNbRAEkPWPfrCvSzRq96W1KF/FOHENHFHwET+gjzmsDqJQSs7IGIiCTkN+Um1VEVnsWhyFJMm/8OFDIu6bpBmY79p5GtfYTsc/FIt5mNhQtfhi27/3Upbt1REX0aaaXszis9j52rT0A2eyYm2HZhF7CD54rl8EciYpPv6H5OHVwevb1YHTcYs/3HCeuchBWrXgfiTiG5A+X5btvAaYw2Byf3J0JWJ3daFQov7qltWrBNj08+4Zoii6Eq1B+Ubhg6bipkcUdwMvuRMK8TslVgr+Yy9irshRnGypGnvgW4O8KuJv9DNwwZOQY2FdnIvVOFxz+m4dsKd/iOG1x7olh5YuO1htb7ED9e+gEVcsOyLRL2I6G4pvkcCtuOkzyy3QaONvvfiE4fgEkjBwobyfV39iDAbz+w8jtkam4i+aAHsvZ/hwr+/VqSISMxySYF0eduNd4W72xKryI+OheWIxzQX/IzSu40lJCrCPfLqvCwtASVeB73Mw7XljNstI/zCKVF7NGwKUZG1FqhX9Qx+zjmCZziMCgchbtCzeQERXiGsMCTPMbdjBSkQ4YhdvorVzFSjn2NTPlCrJzLpZlimx4eAVi5cqLwvgGLvhji3hXpZ681UDmsMypB2r7tiIQfNi96uQnV7/QlV04hIvYRFMor0HAXq1XdEaVYjoNqU3dzIRhPH0bs/VehzL0NTW4iVj13GIrgL6HuQFcx8wQOlwLqJrvTNIbTdaiWuQoLNJGNI6R9hNs7XyEs16AIFacL+jsMRf2Ceb0hdR0A3C1BGd1yWFxO7r9hTkR/hKo+hKJZiRwnshenAHhwfRzuYjVhJmbLU7AtNlPI920Cd3FbrOs3cf2iCf5+kKd/hdj0jjPWaZ7AIe0IN5y8AfOW3MTM3SGYW1OdTbi4mNQHvXt1E2oQGVWEEAZ0KotK2R6NMWGdRoM9kl7W6Mfeu4pKO06fs30HTvFNaIqE6xpfdsLBIEE7pwp3crPr9XG4agmajIIGRus6Ef55yhxMWZ2H6ce+wPo66Yct0Kt3H+BcGq5zI2g8oXyK5VA49O8Ci2FueNUyDzn5BncK7UOUsO1fmWyAiUyqPTBs9G9geVuDfIPnbtqyErbJPBiygR0n92rbnlb8Qag00aSyQD9Xd8ihZg+a/irFlZ2YBZf0XdhyMAPl3GBB1hFs2WKQJVTv8T3kpFRCPt6ZvdJ1UloNVCv8sSTSAsuiPsUSoapaLd3oo7ziBA5FX+MfimoLv8euPfGw9J0MNyt2aSs5/IKBiF3fIIsPhCoUnjmCw+pJmDdtiImTRwIrdx8E42vsOqpbJ1cf6UzkMainz8S0mpG2Z18bBY7wzQGHKQhJZ+8X6X/FFIe63xzgK0vLC5B4OU8YwRHKThybB2zxgotUCpelV+HqO5p/15A25zISi42GUTsV/fOUfPb1RV1ZyDoDNbrhe4nMF5/u8MbtEG5/cmU8FiJ5TAii3tMPHljDbeluRE28jqUuUvZzjhj7URXmxxj0k/jyLoMgD0/T9Xl6emCpMhwT1av4dUodJuGj6kDEbJ0Bu450MIQHobz29YRceGrd0LcKeD8zNw68wdg7rWMSH+gX0s1rySfVz+Y3B0hLaX/fHGhUF9i98iaCqyKhPFPE/r8ISWvHQ+q9AUn8MwG2qaY+AeXhK3AJ9oE717TglF6AcstDBAd7dqwrHGlX2vep1XMM3tn0GlI/+hJp5TaY8F44No75AXPHOrLNBrapNmUfMGcflEs9hI4q96xiN1KD1+AdN2t+DiHmQHnVmoD2S+dm6vhTY4YQEShwCBGBAocQEShwCBGBAocQEajMByFNYDyqVmc4mhDSNNRUI0QEChxCRKDAIaTZgP8Hwsw2BbNTnRsAAAAASUVORK5CYII=\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict, giving a reason, how the value of the ΔS<sup>⦵</sup><sub>reaction</sub> would be affected if <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> (g) were used as a reactant.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the Gibbs free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ mol<sup>−1</sup>, for the reaction at 298 K. Use section 1 of the data booklet.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the equilibrium constant, <em>K</em><sub>c</sub>, for this reaction at 298 K. Use your answer to (d)(iii) and sections 1 and 2 of the data booklet.</p>\n<p>(If you did not obtain an answer to (d)(iii) use a value of 2.0 kJ mol<sup>−1</sup>, although this is not the correct answer).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>first order ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Rate=<em>k</em> [H<sub>2</sub>] [<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sub>2</sub>]</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>k</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>20</mn></math> ✔</p>\n<p>mol<sup>–1</sup> dm<sup>3</sup> s<sup>–1</sup> ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>E</em> ≥ <em>E</em><sub>a</sub> <em><strong>AND</strong> </em>appropriate «collision» geometry/correct orientation ✔</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>K</mi><mi mathvariant=\"normal\">c</mi></msub><mo>=</mo><mfrac><msup><mfenced close=\"]\" open=\"[\"><mi>HI</mi></mfenced><mn>2</mn></msup><mrow><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">H</mi><mn>2</mn></msub></mfenced><mfenced close=\"]\" open=\"[\"><msub><mi mathvariant=\"normal\">I</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> = 2 × 206.6 – (130.6 + 116.1) =» 166.5 «J K<sup>–1</sup> mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>same number of moles of gas</p>\n<p><em><strong>OR</strong></em></p>\n<p>Δ<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>a solid has less entropy than a gas ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«Δ<em>G</em><sup>⦵</sup> = 53.0 kJ mol<sup>–1</sup> – (298K × 0.1665 kJ K<sup>–1</sup> mol<sup>–1</sup>) =» 3.4 «kJ mol<sup>–1</sup>» ✔</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«ln <em>K</em><sub>c</sub>= – (3.4 × 10<sup>3</sup> J mol<sup>–1</sup> /8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K)» = –1.37 ✔</p>\n<p>«<em>K</em><sub>c</sub> =» 0.25 ✔</p>\n<p><em>Award <strong>[2]</strong> for “0.45” for the use of 2.0 kJ mol<sup>–1</sup> for ΔG</em><sup>⦵</sup><em>.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>4(a)(i)-(iii): Deduction of rate orders and rate expression were very well done overall, with occasional errors in the units of the rate constant, but clearly among the best answered questions.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well answered by all but very weak candidates. Some teachers thought this should be a 2-mark question but actually the marks were generally missed when students mentioned both required conditions but failed to refer the necessary energy to <em>E<sub>a</sub></em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>One of the best answered questions.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ΔS was well calculated in general except for some inverted calculations or failure to consider the ratios of the reactants.<br/><br/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates confused the entropy change in this situation with absolute entropy of a solid and gas, or having realised that entropy would decrease lacked clarity in their explanations and lost the mark.</p>\n<p>4(d)(ii)-(d)(iv): marks were lost due to inconsistency of units throughout, i.e., not because answers were given in different units to those required, but because candidates failed to convert all data to the same unit for calculations.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(iv).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-1-4-entropy-and-spontaneity",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>Iron(II) disulfide, FeS<sub>2</sub>, has been mistaken for gold.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the full electronic configuration of Fe<sup>2+</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why there is a large increase from the 8th to the 9th ionization energy of iron.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the oxidation state of sulfur in iron(II) disulfide, FeS<sub>2</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the bonding in iron, Fe (s).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>1s<sup>2</sup> 2s<sup>2</sup> 2p<sup>6</sup> 3s<sup>2</sup> 3p<sup>6</sup> 3d<sup>6</sup> ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>IE<sub>9</sub>: electron in lower energy level<br/><em><strong>OR</strong></em><br/>IE<sub>9</sub>: more stable/full electron level ✔</p>\n<p><br/>IE<sub>9</sub>: electron closer to nucleus<br/><em><strong>OR</strong></em><br/>IE<sub>9</sub>: electron more tightly held by nucleus ✔</p>\n<p><br/>IE<sub>9</sub>: less shielding by «complete» inner levels ✔</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>–1 ✔</p>\n<p> </p>\n<p><em>Accept “– I”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrostatic attraction/hold between «lattice of» positive ions/cations <em><strong>AND</strong> </em>delocalized «valence» electrons ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mostly well done which was a pleasant surprise since this is not overly easy, predictably some gave [Ar] 4s<sup>2</sup> 3d<sup>4</sup>.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Despite some confusion regarding which sub-level the electrons were being removed from, many candidates were able to make at least one valid point, commonly in terms of lower energy/ full sub level/closer to nucleus.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an easy question, yet 30% of the candidates were unable to work it out; some wrote the oxidation state in the conventionally incorrect format, 1- and lost the mark.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates knew the bonding in Fe is metallic but some did not “describe” it or missed the type of attraction, a minor mistake; others referred to nuclei or protons instead of cations/positive ions. In some cases, candidates referred too ionic bonding, probably still thinking of FeS<sub>2</sub> (not reading the question well). Overall, only 30% answered satisfactorily.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-3-electron-configurations",
+      "structure-2-3-the-metallic-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p>Sulfur trioxide is produced from sulfur dioxide.</p>\n<p style=\"text-align: center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)          Δ<em>H</em> = −196 kJ mol<sup>−1</sup></p>\n</div><div class=\"specification\">\n<p>The reaction between sulfur dioxide and oxygen can be carried out at different temperatures.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, giving a reason, the effect of a catalyst on a reaction.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T<sub>1</sub> <strong>and</strong> T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the effect of increasing temperature on the yield of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis structure of SO<sub>3</sub>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the electron domain geometry of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the product formed from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the meaning of a strong Brønsted–Lowry acid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increases rate <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✔</p>\n<p>provides alternative pathway «with lower <em>E</em><sub>a</sub>»<br/><em><strong>OR</strong></em><br/>more/larger fraction of molecules have the «lower» <em>E</em><sub>a</sub> ✔</p>\n<p> </p>\n<p><em>Accept description of how catalyst lowers E<sub>a</sub> for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"243\" 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\" width=\"344\"/></p>\n<p>both axes correctly labelled ✔</p>\n<p>peak of T<sub>2</sub> curve lower <em><strong>AND</strong> </em>to the right of T<sub>1</sub> curve ✔</p>\n<p>lines begin at origin <em><strong>AND</strong> </em>correct shape of curves <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub> ✔</p>\n<p> </p>\n<p><em>Accept “probability «density» / number of particles / N / fraction” on y-axis.</em></p>\n<p><em>Accept “kinetic E/KE/E<sub>k</sub>” but not just “Energy/E” on x-axis.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decrease <em><strong>AND</strong> </em>equilibrium shifts left / favours reverse reaction ✔</p>\n<p>«forward reaction is» exothermic / ΔH is negative ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"112\" src=\"data:image/png;base64,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\" width=\"133\"/>✔</p>\n<p> </p>\n<p><em>Note:</em></p>\n<p><img height=\"244\" src=\"data:image/png;base64,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\" width=\"489\"/></p>\n<p><em>Accept any of the above structures as formal charge is not being assessed.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>three electron domains «attached to the central atom» ✔</p>\n<p>repel/as far away as possible /120° «apart» ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfuric acid/H<sub>2</sub>SO<sub>4</sub> ✔</p>\n<p><em><br/>Accept “disulfuric acid/H<sub>2</sub>S<sub>2</sub>O<sub>7</sub>”.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>fully ionizes/dissociates ✔</p>\n<p>proton/H<sup>+</sup> «donor »✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Overall well answered though some answers were directed to explain the specific example rather than the simple and standard definition of the effect of a catalyst.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few got the 3 marks for this standard question (average mark 1.7), the most common error being incomplete/incorrect labelling of axes, curves beginning above 0 on y-axis or inverted curves.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates got one mark at least, sometimes failing to state the effect on the production of SO<sub>3</sub> though they knew this quite obviously. This failure to read the question properly also resulted in an incorrect prediction based exclusively on kinetics instead of using the information provided to guide their answers.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Drawing the Lewis structure of SO<sub>3</sub> proved to be challenging, with lots of incorrect shapes, lone pair on S, etc.; accepting all resonant structures allowed many candidates to get the mark which was fair considering no formal charge estimation was required.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were focussed on the shape itself instead of explaining what led them to suggest that shape; number of electron domains allowed most candidates to get one mark and eventually a mention of bond angles resulted in only 35% getting both marks. In general, students were not able to provide clear explanations for the shape (not a language issue) but rather were happy to state the molecular geometry which they knew, but wasn't what was actually required for the mark.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>6(d)(i)-(ii): These simple questions could be expected to be answered by all HL candidates. However 20% of the candidates suggested hydroxides or hydrogen as products of an aqueous dissolution of sulphur oxide. In the case of the definition of a strong Brønsted-Lowry acid, only 50% got both marks, often failing to define \"strong\" but in other cases defining them as bases even.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.7",
+    "Question": "<div class=\"specification\">\n<p>The overall equation for the production of hydrogen cyanide, HCN, is shown below.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + NH<sub>3</sub> (g) +<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>3</mn><mn>2</mn></mfrac></math>O<sub>2</sub> (g) → HCN (g) + 3H<sub>2</sub>O (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State why NH<sub>3</sub> is a Lewis base.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the pH of a 1.00 × 10<sup>−2</sup> mol dm<sup>−3</sup> aqueous solution of ammonia.</p>\n<p style=\"text-align:center;\">p<em>K</em><sub>b</sub> = 4.75 at 298 K.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Justify whether a 1.0 dm<sup>3</sup> solution made from 0.10 mol NH<sup>3</sup> and 0.20 mol HCl will form a buffer solution.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch the shape of one sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>) and one pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>) bond.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the number of sigma and pi bonds in HCN.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the hybridization of the carbon atom in HCN.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest why hydrogen chloride, HCl, has a lower boiling point than hydrogen cyanide, HCN.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why transition metal cyanide complexes are coloured.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>donates «lone/non-bonding» pair of electrons ✔</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Kb</em> = 10<sup>-4.75</sup> /1.78 x 10<sup>-5</sup><br/><em><strong>OR</strong></em><br/><em>Kb</em> = <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msup><mfenced close=\"]\" open=\"[\"><msup><mi>OH</mi><mo>-</mo></msup></mfenced><mn>2</mn></msup><mfenced close=\"]\" open=\"[\"><msub><mi>NH</mi><mn>3</mn></msub></mfenced></mfrac></math> ✔</p>\n<p> </p>\n<p>[OH<sup>–</sup>] = « <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfenced><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn><mo>.</mo><mn>75</mn></mrow></msup></mrow></mfenced></msqrt></math> =» 4.22 × 10<sup>–4</sup> «(mol dm<sup>–3</sup>)» ✔</p>\n<p> </p>\n<p>pOH« = –log<sub>10</sub> (4.22 × 10<sup>–4</sup>)» = 3.37<br/><em><strong>AND</strong></em><br/>pH = «14 – 3.37» = 10.6<br/><em><strong><br/>OR</strong></em><br/><br/>[H<sup>+</sup>]« =<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>14</mn></mrow></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>22</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow></mfrac></math>» = 2.37 × 10<sup>–11</sup><br/><em><strong>AND</strong></em><br/>pH« = –log<sub>10</sub> 2.37 × 10<sup>–11</sup>» = 10.6 ✔</p>\n<p> </p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no <em><strong>AND</strong> </em>is not a weak acid conjugate base system</p>\n<p><em><strong>OR</strong></em></p>\n<p>no <em><strong>AND</strong> </em>weak base «totally» neutralized/ weak base is not in excess</p>\n<p><em><strong>OR</strong></em></p>\n<p>no <em><strong>AND</strong> </em>will not neutralize small amount of acid ✔</p>\n<p> </p>\n<p><em>Accept “no <strong>AND</strong> contains 0.10 mol NH<sub>4</sub>Cl + 0.10 mol HCl”.</em></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>σ</mi></math>):</em></p>\n<p> <img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>π</mi></math>):</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept overlapping p-orbital(s) with both lobes of equal size/shape.</em></p>\n<p><em>Shaded areas are not required in either diagram.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Sigma (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>σ</mtext></math>): 2 <em><strong>AND</strong> </em>Pi (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">π</mi></math>): 2 ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sp ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HCN has stronger dipole–dipole attraction ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept reference to H-bonds.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any three from:</em></p>\n<p>partially filled d-orbitals ✔</p>\n<p>«CN- causes» d-orbitals «to» split ✔</p>\n<p>light is absorbed as electrons transit to a higher energy level «in d–d transitions»<br/><em><strong>OR</strong></em><br/>light is absorbed as electrons are promoted ✔</p>\n<p>energy gap corresponds to light in the visible region of the spectrum ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “colour observed is the complementary colour” for M4.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The main error was the omission of lone electron \"pair\", though there was also a worrying amount of very confused answers for a very basic chemistry concept where 40% provided very incorrect answers.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Rather surprisingly, many students got full marks for this multi-step calculation; others went straight to the pH/pKa acid/base equation so lost at least one of the marks: students often seem less prepared for base calculations, as opposed to acid calculations.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Poorly answered revealing little understanding of buffering mechanisms, which is admittedly a difficult topic.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This proved to be the most challenging question (10%). It was a good question, where candidates had to explain a huge difference in boiling point of two covalent compounds, requiring solid understanding of change of state where breaking bonds cannot be involved). Yet most considered the triple bonds in HCN as the cause, suggesting covalent bonds break when substance boil, which is very worrying. Others considered H-bonds which at least is an intermolecular force, but shows they are not too familiar with the conditions necessary for H-bonding.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question appears frequently in exams but with slightly different approaches. In general candidates ignore the specific question and give the same answers, failing in this case to describe why complexes are coloured rather than what colour is seen. These answers appear to reveal that many candidates don't really understand this phenomenon, but learn the answer by heart and make mistakes when repeating it, for example, stating that the ‘d-orbitals of the ligands were split’- an obvious misconception. The average mark was 1.6/3, with a MS providing 4 ideas that would merit a mark</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-1-proton-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ2.8",
+    "Question": "<div class=\"specification\">\n<p>Carbon forms many compounds.</p>\n</div><div class=\"specification\">\n<p>C<sub>60</sub> and diamond are allotropes of carbon.</p>\n</div><div class=\"specification\">\n<p>Chlorine reacts with methane.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + Cl<sub>2 </sub>(g) → CH<sub>3</sub>Cl (g) + HCl (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>two</strong> differences between the bonding of carbon atoms in C<sub>60</sub> and diamond.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why C<sub>60</sub> and diamond sublime at different temperatures and pressures.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State two features showing that propane and butane are members of the same homologous series.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the full structural formula of (Z)-but-2-ene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction between but-2-ene and hydrogen bromide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> differences in the <sup>1</sup>H NMR of but-2-ene and the organic product from (d)(ii).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict, giving a reason, the major product of reaction between but-1-ene and steam.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the mechanism of the reaction between 1-bromopropane, CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>Br, and aqueous sodium hydroxide, NaOH (aq), using curly arrows to represent the movement of electron pairs.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the splitting pattern in the <sup>1</sup>H NMR spectrum for 1-bromopropane.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of the reaction, Δ<em>H</em>, using section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw and label an enthalpy level diagram for this reaction.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Any <strong>two</strong> of:</p>\n<p>C<sub>60</sub> fullerene: bonded to 3 C <em><strong>AND</strong> </em>diamond: bonded to 4 C ✔</p>\n<p>C<sub>60</sub> fullerene: delocalized/resonance <em><strong>AND</strong> </em>diamond: not delocalized / no resonance ✔</p>\n<p>C<sub>60</sub> fullerene: <em>sp<sup>2</sup> <strong>AND</strong> </em>diamond: <em>sp<sup>3 </sup></em>✔</p>\n<p>C<sub>60</sub> fullerene: bond angles between 109–120° <em><strong>AND</strong> </em>diamond: 109° ✔</p>\n<p> </p>\n<p><em>Accept \"bonds in fullerene are shorter/stronger/have higher bond order <strong>OR</strong> bonds in diamond longer/weaker/have lower bond order\".</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>diamond giant/network covalent <em><strong>AND</strong></em> sublimes at higher temperature ✔</p>\n<p>C<sub>60</sub> molecular/London/dispersion/intermolecular «forces» ✔</p>\n<p> </p>\n<p><em>Accept “diamond has strong covalent bonds <strong>AND</strong> require more energy to break «than intermolecular forces»” for M1.</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same general formula / C<sub>n</sub>H<sub>2n+2</sub> ✔</p>\n<p>differ by CH<sub>2</sub>/common structural unit ✔</p>\n<p> </p>\n<p><em>Accept \"similar chemical properties\".</em></p>\n<p><em>Accept “gradation/gradual change in physical properties”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong>ALTERNATIVE 1:</strong></p>\n<p><em>Test:</em></p>\n<p>add bromine «water»/Br<sub>2</sub> (aq) ✔</p>\n<p><em>Result:</em></p>\n<p>«orange/brown/yellow» to colourless/decolourised ✔</p>\n<p><em><br/>Do not accept “clear” for M2.</em></p>\n<p><strong><br/>ALTERNATIVE 2:</strong></p>\n<p><em>Test:</em></p>\n<p>add «acidified» KMnO<sub>4</sub> ✔</p>\n<p><em>Result:</em></p>\n<p>«purple» to colourless/decolourised/brown ✔</p>\n<p><em><br/>Accept “colour change” for M2.</em></p>\n<p><strong><br/>ALTERNATIVE 3:</strong></p>\n<p><em>Test:</em></p>\n<p>add iodine /<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> ✔</p>\n<p><em>Result:</em></p>\n<p>«brown» to colourless/decolourised ✔<br/><br/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH=CHCH<sub>3</sub> + HBr (g) → CH<sub>3</sub>CH<sub>2</sub>CHBrCH<sub>3</sub></p>\n<p>Correct reactants ✔</p>\n<p>Correct products  ✔</p>\n<p> </p>\n<p><em>Accept molecular formulas for both reactants and product</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«electrophilic» addition/EA ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept nucleophilic or free radical addition.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1:</strong> Any two of:</em></p>\n<p>but-2-ene: 2 signals <em><strong>AND</strong> </em>product: 4 signals ✔</p>\n<p>but-2-ene: «area ratio» 3:1/6:2 <em><strong>AND</strong> </em>product: «area ratio» 3:3:2:1 ✔</p>\n<p>product: «has signal at» 3.5-4.4 ppm «and but-2-ene: does not» ✔</p>\n<p>but-2-ene: «has signal at» 4.5-6.0 ppm «and product: does not» ✔</p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2:</strong></em></p>\n<p>but-2-ene: doublet <em><strong>AND</strong> </em>quartet/multiplet/4 ✔</p>\n<p>product: doublet <em><strong>AND</strong> </em>triplet <em><strong>AND</strong> </em>quintet/5/multiplet <em><strong>AND</strong> </em>sextet/6/multiplet ✔</p>\n<p> </p>\n<p><em>Accept “product «has signal at» 1.3–1.4 ppm «and but-2-ene: does not»”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH<sub>2</sub>CH(OH)CH<sub>3</sub> ✔</p>\n<p>«secondary» carbocation/CH<sub>3</sub>CH<sub>2</sub>CH<sup>+</sup>CH<sub>3</sub> more stable ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “Markovnikov’s rule” without reference to carbocation stability.</em></p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>curly arrow going from lone pair/negative charge on O in HO<sup>–</sup> to C ✔</p>\n<p>curly arrow showing Br breaking ✔</p>\n<p>representation of transition state showing negative charge, square brackets and partial bonds ✔</p>\n<p>formation of organic product CH<sub>3</sub>CH<sub>2</sub>CH<sub>2</sub>OH <em><strong>AND</strong> </em>Br– ✔</p>\n<p> </p>\n<p><em>Do not allow curly arrow originating on H in HO<sup>–</sup>.</em></p>\n<p><em>Accept curly arrow either going from bond between C and Br to Br in 1-bromopropane or in the transition</em><br/><em>state.</em></p>\n<p><em>Do <strong>not</strong> penalize if HO and Br are not at 180° to each other. </em></p>\n<p><em>Award <strong>[3 max]</strong> for S<sub>N</sub>1 mechanism.</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>triplet/3 <em><strong>AND</strong> </em>multiplet/6 <em><strong>AND</strong> </em>triplet/3 ✔</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond breaking: C–H + Cl–Cl / 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>»/656 «kJ»<br/><em><strong>OR</strong></em><br/>bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>» / 1898 «kJ» ✔</p>\n<p> </p>\n<p>bond forming: «C–Cl + H–Cl / 324 kJ mol<sup>–1</sup> + 431 kJ mol<sup>–1</sup>» / 755 «kJ»<br/><em><strong>OR</strong></em><br/>bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol<sup>–1</sup>» + 324 «kJ mol<sup>–1</sup>» + 431 kJ mol<sup>–1</sup>» / 1997 «kJ» ✔</p>\n<p> </p>\n<p>«ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔</p>\n<p> </p>\n<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[2 max]</strong> for 99 «kJ».</em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>reactants at higher enthalpy than products ✔</p>\n<p><br/>ΔH/-99 «kJ» labelled on arrow from reactants to products<br/><em><strong>OR</strong></em><br/>activation energy/<em>E</em><sub>a</sub> labelled on arrow from reactant to top of energy profile ✔</p>\n<p> </p>\n<p><em>Accept a double headed arrow between reactants and products labelled as ΔH for M2.</em></p>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A challenging question, requiring accurate knowledge of the bonding in these allotropes (some referred to graphite, clearly the most familiar allotrope). The most frequent (correct) answer was the difference in number of bonded C atoms and hybridisation in second place. However, only 30% got a mark.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, this was a struggle between intermolecular forces and covalent bonds and this proved to be even harder than (a)(i) with only 25% of candidates getting full marks. The distinction between giant covalent/covalent network in diamond and molecular in C60 and hence resultant sublimation points, was rarely explained. There were many general and vague answers given, as well as commonly (incorrectly) stating that intermolecular forces are present in diamond. As another example of insufficient attention to the question itself, many candidates failed to say which would sublime at a higher temperature and so missed even one mark.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This easy question was quite well answered; same/similar physical properties and empirical formula were common errors.</p>\n<p>Candidates misinterpreted the question and mentioned CH3<sup>+</sup>, i.e., the lost fragment; the other very common error was -COOH which shows a complete lack of understanding of MS considering the question is about butane so O should never appear.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered by most, but some basic chemistry was missing when reporting results, perhaps as a result of little practical work due to COVID. A significant number suggested IR spectrometry, very likely because the question followed one on H NMR spectroscopy, thus revealing a failure to read the question properly (which asks for a test). Some teachers felt that adding \"chemical\" would have avoided some confusion.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most were able to draw this isomer correctly, though a noticeable number of students included the Z as an atom in the structural formula, showing they were completely unfamiliar with E/Z notation.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well done in general and most candidates wrote correct reagents, eventually losing a mark when considering H<sub>2</sub> to be a product alongside 2-bromobutane.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very well answered, some mentioned halogenation which is a different reaction.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A considerable number of students (40%) got at least 1 mark here, but marks were low (average mark 0.9/2). Common errors were predicting 3 peaks, rather than 4 for 2 -bromobutane and vague / unspecific answers, such as ‘different shifts’ or ‘different intensities’. It is surprising that more did not use H NMR data from the booklet; they were not directed to the section as is generally done in this type of question to allow for more general answers regarding all information that can be obtained from an H NMR spectrum.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Product was correctly predicted by many, but most used Markovnikov's Rule to justify this, failing to mention the stability of the secondary carbocation, i.e., the chemistry behind the rule.</p>\n<div class=\"question_part_label\">d(v).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>As usual, good to excellent candidates (47.5%) were able to get 3/4 marks for this mechanism, while most lost marks for carelessness in drawing arrows and bond connectivity, issues with the lone pair or negative charge on the nucleophile, no negative charge on transition state, or incorrect haloalkane. The average mark was thus 1.9/4.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another of the very poorly answered questions where most candidates (90%) failed to predict 3 peaks and when they did, considered there would be a quartet instead of multiplet/sextet; other candidates seemed to have no idea at all. This is strange because the compound is relatively simple and while some teachers considered that predicting a sextet may be beyond the current curriculum or just too difficult, they could refer to a multiplet; a quartet is clearly incorrect.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only the very weak candidates were unable to calculate the enthalpy change correctly, eventually missing 1 mark for inverted calculations.</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates drew correct energy profiles, consistent with the sign of the energy change calculated in the previous question. And again, only very weak candidate failed to get at least 1 mark for correct profiles.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-1-1-introduction-to-the-particulate-nature-of-matter",
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>When heated in air, magnesium ribbon reacts with oxygen to form magnesium oxide.</p>\n</div><div class=\"specification\">\n<p>The reaction in (a)(i) was carried out in a crucible with a lid and the following data was recorded:</p>\n<p style=\"text-align: right;\">Mass of crucible and lid = 47.372 ±0.001 g</p>\n<p style=\"text-align: right;\">Mass of crucible, lid and magnesium ribbon before heating = 53.726 ±0.001 g</p>\n<p style=\"text-align: right;\">Mass of crucible, lid and product after heating = 56.941 ±0.001 g</p>\n<p style=\"text-align: left;\"> </p>\n</div><div class=\"specification\">\n<p>When magnesium is burnt in air, some of it reacts with nitrogen to form magnesium nitride according to the equation:</p>\n<p style=\"text-align: center;\">3 Mg (s) + N<sub>2 </sub>(g) → Mg<sub>3</sub>N<sub>2 </sub>(s)</p>\n</div><div class=\"specification\">\n<p>The presence of magnesium nitride can be demonstrated by adding water to the product. It is hydrolysed to form magnesium hydroxide and ammonia.</p>\n</div><div class=\"specification\">\n<p>Most nitride ions are <sup>14</sup>N<sup>3–</sup>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write a balanced equation for the reaction that occurs.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the block of the periodic table in which magnesium is located.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify a metal, in the same period as magnesium, that does <strong>not</strong> form a basic oxide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the amount of magnesium, in mol, that was used.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the percentage uncertainty of the mass of product after heating.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Assume the reaction in (a)(i) is the only one occurring and it goes to completion, but some product has been lost from the crucible. Deduce the percentage yield of magnesium oxide in the crucible.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Evaluate whether this, rather than the loss of product, could explain the yield found in (b)(iii).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest an explanation, other than product being lost from the crucible or reacting with nitrogen, that could explain the yield found in (b)(iii).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate coefficients that balance the equation for the following reaction.</p>\n<p style=\"text-align:center;\">__ Mg<sub>3</sub>N<sub>2 </sub>(s) + __ H<sub>2</sub>O (l) → __ Mg(OH)<sub>2 </sub>(s) + __ NH<sub>3 </sub>(aq)</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the oxidation state of nitrogen in Mg<sub>3</sub>N<sub>2</sub> and in NH<sub>3</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce, giving reasons, whether the reaction of magnesium nitride with water is an acid–base reaction, a redox reaction, neither or both.</p>\n<p><img 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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the number of subatomic particles in this ion.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Some nitride ions are <sup>15</sup>N<sup>3–</sup>. State the term that describes the relationship between <sup>14</sup>N<sup>3–</sup> and <sup>15</sup>N<sup>3–</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The nitride ion and the magnesium ion are isoelectronic (they have the same electron configuration). Determine, giving a reason, which has the greater ionic radius.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> reasons why atoms are no longer regarded as the indivisible units of matter.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the types of bonding in magnesium, oxygen and magnesium oxide, and how the valence electrons produce these types of bonding.</p>\n<p><img height=\"367\" 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\" width=\"644\"/></p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2 Mg(s) + O<sub>2</sub>(g) → 2 MgO(s) ✔</p>\n<p><em><br/>Do not accept equilibrium arrows. Ignore state symbols</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>s ✔</p>\n<p><em><br/>Do not allow group 2</em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>aluminium/Al ✔</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mfrac><mrow><mn>53</mn><mo>.</mo><mn>726</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>244</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>354</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo></math> «mol» ✔</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mass of product <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>56</mn><mo>.</mo><mn>941</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>-</mo><mn>47</mn><mo>.</mo><mn>372</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo>»</mo><mo>=</mo><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">g</mi><mo>»</mo></math> ✔</p>\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>⟨⟨100 × </mtext><mfrac><mrow><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>001</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow></mfrac><mtext>=0.0209⟩⟩ = 0.02 «%»</mtext></math> ✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer </em></p>\n<p><em>Accept 0.021%</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo> </mo><mo>×</mo><mo> </mo><mo>(</mo><mn>24</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>+</mo><mn>16</mn><mo>.</mo><mn>00</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>)</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>2614</mn><mo> </mo><mi>mol</mi><mo>×</mo><mn>40</mn><mo>.</mo><mn>31</mn><mo> </mo><mi mathvariant=\"normal\">g</mi><mo> </mo><msup><mi>mol</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">g</mi><mo>»</mo></math> ✔</p>\n<p><math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⟨</mo><mo>⟨</mo><mn>100</mn><mo>×</mo><mfrac><mrow><mn>9</mn><mo>.</mo><mn>569</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow><mrow><mn>10</mn><mo>.</mo><mn>536</mn><mo> </mo><mi mathvariant=\"normal\">g</mi></mrow></mfrac><mo>=</mo><mo> </mo><mn>90</mn><mo>.</mo><mn>822</mn><mo>⟩</mo><mo>⟩</mo><mo>=</mo><mn>91</mn><mo> </mo><mo>«</mo><mo>%</mo><mo>»</mo></math> ✔</p>\n<p> </p>\n<p><em>Award «0.2614 mol x 40.31 g mol<sup>–1</sup>»</em></p>\n<p><em>Accept alternative methods to arrive at the correct answer.</em></p>\n<p><em>Accept final answers in the range 91-92%</em></p>\n<p><em><strong>[2]</strong> for correct final answer.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>yes<br/><em><strong>AND</strong></em><br/>«each Mg combines with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac bevelled=\"true\"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> N, so» mass increase would be 14x<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac bevelled=\"true\"><mn>2</mn><mn>3</mn></mfrac></mstyle></math> which is less than expected increase of 16x<br/><em><strong>OR</strong></em><br/>3 mol Mg would form 101g of Mg<sub>3</sub>N<sub>2</sub> but would form 3 x MgO = 121 g of MgO<br/><em><strong>OR</strong></em><br/>0.2614 mol forms 10.536 g of MgO, but would form 8.796 g of Mg<sub>3</sub>N<sub>2</sub> ✔</p>\n<p> </p>\n<p><em>Accept Yes <strong>AND</strong> “the mass of N/N<sub>2</sub> that combines with each g/mole of Mg is lower than that of O/O<sub>2</sub>”</em></p>\n<p><em>Accept YES<strong> AND</strong> “molar mass of nitrogen less than of oxygen”.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>incomplete reaction<br/><em><strong>OR</strong></em><br/>Mg was partially oxidised already<br/><em><strong>OR</strong></em><br/>impurity present that evaporated/did not react ✔</p>\n<p> </p>\n<p><em>Accept “crucible weighed before fully cooled”.</em></p>\n<p><em>Accept answers relating to a higher atomic mass impurity consuming less O/O<sub>2</sub>.</em></p>\n<p><em>Accept “non-stoichiometric compounds formed”.</em></p>\n<p><em>Do <strong>not</strong> accept \"human error\", \"wrongly calibrated balance\" or other non-chemical reasons.</em></p>\n<p><em>If answer to (b)(iii) is &gt;100%, accept appropriate reasons, such as product absorbed moisture before being weighed.</em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«1» Mg<sub>3</sub>N<sub>2 </sub>(s) + <strong>6</strong> H<sub>2</sub>O (l) → <strong>3</strong> Mg(OH)<sub>2 </sub>(s) + <strong>2</strong> NH<sub>3 </sub>(aq)</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Mg<sub>3</sub>N<sub>2</sub>: -3</em><br/><strong><em>AND</em></strong><br/><em>NH<sub>3</sub>: -3 ✔</em></p>\n<p><em><br/>Do not accept 3 or 3-</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Acid–base:</em><br/>yes <strong>AND</strong> N<sup>3-</sup> accepts H<sup>+</sup>/donates electron pair«s»<br/><strong><em>OR</em></strong><br/>yes <strong>AND</strong> H<sub>2</sub>O loses H<sup>+</sup> «to form OH<sup>-</sup>»/accepts electron pair«s» ✔</p>\n<p><em>Redox:</em><br/>no <strong>AND</strong> no oxidation states change ✔</p>\n<p> </p>\n<p><em>Accept “yes <strong>AND</strong> proton transfer takes place”</em></p>\n<p><em>Accept reference to the oxidation state of specific elements not changing.</em></p>\n<p><em>Accept “not redox as no electrons gained/lost”.</em></p>\n<p><em>Award <strong>[1 max]</strong> for Acid–base: yes <strong>AND</strong> Redox: no without correct reasons, if no other mark has been awarded</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Protons</em>: 7 <em><strong>AND</strong> Neutrons</em>: 7 <em><strong>AND</strong> Electrons</em>: 10 ✔</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"text-decoration:underline;\">isotope</span>«s» ✔</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>nitride <em><strong>AND</strong> </em>smaller nuclear charge/number of protons/atomic number ✔</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em><br/><br/>subatomic particles «discovered»<br/><em><strong>OR</strong></em><br/>particles smaller/with masses less than atoms «discovered»<br/><em><strong>OR</strong></em><br/>«existence of» isotopes «same number of protons, different number of neutrons» ✔</p>\n<p><br/>charged particles obtained from «neutral» atoms<br/><em><strong>OR</strong></em><br/>atoms can gain or lose electrons «and become charged» ✔</p>\n<p><br/>atom «discovered» to have structure ✔</p>\n<p><br/>fission<br/><em><strong>OR</strong></em><br/>atoms can be split ✔</p>\n<p> </p>\n<p><em>Accept atoms can undergo fusion «to produce heavier atoms»</em></p>\n<p><em>Accept specific examples of particles.</em></p>\n<p><em>Award <strong>[2]</strong> for “atom shown to have a nucleus with electrons around it” as both M1 and M3.</em></p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAisAAAEyCAYAAAA7n5DmAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAJHVSURBVHhe7b0NXJRV3v//Ac3KgMhbixkt/QmJ7k/KhBt/FbsNmkNtad5YumsB3vDbzU1bW1bgxqzNtEyHG9fS7ek3LA9l68PMj7InIYjuW3PhP2Ma/RaGkEXDGVpd40nzAeb6n3M9DNcMw6NPMHzfvkbmOudc55zrzPc653ud7znX109ggCAIgiAIYpDiL/8lCIIgCIIYlJCyQhAEQRDEoIaUFYIgCIIgBjWkrBAEQRAEMaghZYUgCIIgiEGN224gPz8/+RtBEARBEMTVQ71ZuYuyoo4kCF+BZJvwVUi2CV/EU67JDEQQBEEQxKCGlBWCIAiCIAY1A1JWnA4rzFlJ0Pr5iVM1fn5xyMgpRU2bU07RF06iNCOKnRuFjNKTchhBXB2cNTmIc8mz+qNFbEYBrI7zcsrLzVnU5CwSy43LqUZ/7iiC6EoP8tRSigwtk/G4HNRcbUFT6uK3CDk1Z+XAwYAyTtH9eLXpv7LSVoHsJfOwMC0fDjkIKMKmlDnQrSzE8avwa0rK00vIG1RCTvgGDpRtSkTU0neufofu4jwcVjOyVm8fRHUiiL5C8kv0n34qK060VBQiu4ypKboXUGI/B0HoQKslGzoW68j5C/bWXmGFwVmN3KVceTqMDjmIIAaM3ghbhyAu7BI/reUw6DRMH/8U+660bHeDs+YdLI1aiDQrKefE0IPklxgIA1+zYqvDwQOVcDj9ERD5O3wudu47kTzlOhbpzcTT/XRke/1+5GXEsTg/+MVmIM/q6Ix3OmDNy0Csa1o+AklZZmlanikqOQ/ORkoRn+PZhZTw66HNKEULP6+tBsVupip+3l7ZVMWUrtLVYpw2YzcqijcjSZyC5FP+Zndzlmf5nvVjpdW4zvcWTwxlnK3NOMW/6O7GndpRYpgIk6/SnB7kQpnW1mbAXPExspIi5HSrYa4RJVRGLT9cRj/GN6cuyHFd4eaqB8NTUMQPilIQPoLfY3/zalJ1mbbEaf7Oe/L3Oe933m/aJGyuUMurk13a3s76chNvXgW7z+Vowsfhv38pchT5EPtElRm0i+lI6dd5Xyr3vbxfjtMy2VqN0hZ3wfEuvx7LAFqrYHaNBx73i1u/3ouJ1nUPquuh9P3KOOQp7zx9ErKKa9Amn9GVXu6RPt/7fIapABmxrK285dNbOcMN9vTowuPQKx0NJiFZAzGt9NEIuvS3hEKLXeiQ0wjCCaEkPZLFRQrpJSfksB8Fm/ExMb3eWMXSKmnUeSmfhwSD5QfVOV3TaJJNQsOFKsGo17iHp5cIzcIPgsXwkFu49FHK7hCaSzIF9rzcQxpOd/ko9TsnNJiWe8lHiScGC/x36YkOm1HQd/kd5Y8mUcguV8l3a7lg0LnLnfSZLiSb6qV0zSVCutt9ovrojYJNTNSd/PCPWg476VpPfo9975JnSf45A7nfvN3f/MPucUO50CqmIAYb/Dfqnu77UNfHJY8dQqslW9B5S6NZLpgazrE0shxpMoWSZnZSh6oPVvKRZb9TFjvxLr9sjHDdL5GCTheqimcfJd+OesGUPN09jn902YKl1fNO4Sj9t2occuXxmGC0/djDvSzHu+6bzvux13ukT/d+d23dmc9wvxf59arp98yK//iHsf6dF0SzjwS36f8aC6K0mJCUh+p+LbLlaKDLLIKdT713NKAkk4kyPkL2zoNMS29Dg62OHUeCCRuvuetjN8Zj/MipSP6kFOxmYWkeAxMu2DfORhCCEbnqQ1X6c2CDAivJgUqb3V1j1iTDWNXslqZox5eo5ZfRchA7sz9iaZaD3aiqNHL9nHXY+6YZDld8B3soyEWiRqk/4RM48pGa8RbKxCe4TlOoJnErykVT6DnYS/g98Q1yVryJMrenyelINFaCdS5gnQ9Y59NpUlLkR5VGaK2EMXG6dKoX/Kck4xObEfwuYR0fbB0WbJx9M4Ki7kcCy9tR8BksvHxnPfbt2McSxWBxzCS3KVRNYi6qWju83G9nUbv3L8hxTAdTusD6VLk+/4Ky7EJUeDwlE77GKVTsfBdlXB6z97n3yY5tWPHqPiYjAZgQPpkdF2Gv5RTQZoetUl69KMr1GbRYPkOBQ4OIcC1L7Y53+R0rxkmcw20JhV7vF2dtCd7M+YZ12SY0iKbaZlQZk6Epexc7K8T5Tw+Ccdf8eFaWFQV7vxb7YyUP6B9ATNh1QEA0Vn1uZ3nx/Pj11oMpMyxlHWwN3uZW+nOP9HDvq9payUdKw8ZTMZ8zdC96MAAz0ChoZv8BJXYLCncZ2MAsBzMc+ZlYubOGdef9QYvo+++ChtfEfzx0SxeLguw4VI9G5xhEL3qcDQJWbJozDtK039swm8v6sPOIT6GVsbRmmHOewxMLt7FBwQsR9yJmShD7MhKBwfyvAhuUxJuOde4J8bh/PDcBjML4+K2wM8HhSlFA7ZfYwU1Q7EZeOOFaVr8RCJy2FPk8SBk0iKFFlzUrsvJQ9iY2flLHpOIULHuLmCxFIiFpMaI1klxodIuRwJVmRy3qG9XT0tNwX0yY2Gn7BwZD3S27OnrNPCQ9+hOpYw8IQ8x908TofhF0D1LWP8bKlwYRpyKbSqfsgtf7IUwNYDec5/3Wrig4TOlaOAkj+NRzYARS8lnnrgxOxBBFw0S7Shr0lE9zCdJV/TdavsbeAqskjyl3d9MnX4ewmAdkBeArfCf2kdOxJHEBK4EP8PXy/dFVSe4bqvtF8xPcG6FUkCkJ+z4VzUeOnIWYMIKbRW7EtJQcVlanMuKJf9g9WMzuS6k/ZgqAmAd7+M2YjymuyrWgpvR9NlbsRk7mr7GQKzPd4XoI6Ms90sO9r2rrx++/VWwn//HxMNrZ72J/GbMDjtG96EH/ZUnGXxOJRx5dhTz2ZGm3mGAQnwY9Zy7sOFR/UlZelFmS/iCvh2m1ocRkgsmYAGxiwrQwFuHztsDarcLSBGvWfASGb0B5E9OvYzLxfkkmu5m6opkxCSEDbgXC5wn4CR5NmudVdvqEJgyTQlRrXS4b6kHkr7CInTIboBbfgzCSb+IS4lIADv03dnzEFBM24KasfwoJGiZ7H32AikN2L0ryVcJ/Ch7NWAoNH+DLKyQFQKNHXNQYKb6tAlmxUxG+7ks2aoxFzHMFKEmPlOIulit27w8P+tmNde45j11dLC/0YU+V4VMg/fTK1J88Vcg4f6oFZ9hfp+MrfFbBhLgLTMDzPpLMR87jKMvdIWrPbkpEwBTMjo9HfPJGfN5RJZl9up36Y7jMN7djVtzDmB12GpbPrN5nVrrFXzW1/i52V4uTiGizbpYWVcbloHbcJMzgo5jLlKR6auHacRCNEkMep8NDdsYgKk7PJJ3L7Q5UiKah83CU7UABn8nwXIjbEwFahPMnR8ce5O3+m6jk8234H31RJcX3k86nyA3IMHo3Abndb6x7/uoDc+f9NnIsJs3QsiOVWcr18ZyuJ3yOoDsQl8AGai6PxgNS/+7qkzXQzZ0OLRcm/0mIWRwDFK1DWrYVmoT7EXXrXeK5juxMZDKBuvRK8iiETAoTHxpcZkyVfErmf28o/TiT+5fXwsjuUbG+Yt+sMulOnoW4BTqEtR7uZpyS8b9E94i6reV7X1Kc+GLbRcipvYHuRU/YxbvwOPRCDwuw+Me1CKsvC1h7WvDnubjJSxrXoir3NOKiLm8LnO7RCToWJi366qxf5yIwVZ1di6AGusCWFiQONvjv0hM9LrDlH2VBIafbRXl6IbOkgUkSQ5FB9XkuuVTku68LvT1wk29vi9ilOPcFjj3db70tsGWfbhcxElcb/vt0j+dCaxWKHPVlga3uBaHEzvt2ic77RclXLXuKfHeDN/ntcm8wXIt35bDuFtj2uqFBLfvqunm7/zTCPbp7WJhyXynn9rbAln2Ue0S5ll7u/YEtsGWfYXIv8mtV00/dl5tllmO7ZQ+M6dyKqcC0P8NfUFL2MuLFtR1Mm9U9jcLsRFETFuOzi1Dy1mPikTuRSDXuQrayqFCXjlzLFiwVt0CPxezntqPEmK5a0Ms0/PR8WLYvRyS3u7Mn3eh/f1peO6NB+LgA+Afp8FyZCen8/Rg8lC+E3PlHJLCnWEfFYXzb50XAwYhMfRuWXFX5rH7GkmwsiwxmB3wNy8soK8pWrd3RIz23ENtTo6U1CMSQR5OYjaKy/+icKeOL8vaUuculKLe5WD97vMdMRk+w+2T2f6jkR5Jtk2GBGNstQVH49/XJ8r0VgnE3jhS/iaaguF9IC/n42pS4O7w8bUYi3fQ5TMr9K9b7baSK8sxqNH4BtpR9Kpt1OZ73G+G78P59JfbYSlT9u/L7Z2K2uD5LQpnF65y9U8yQjN5MQN3Kby/4T0T8FhOKDMq4wvCQX++MhS7lKS91k+8/U6Z8H/Nxahd2vp6CCNhRcbDOfTOGzKW5R5SxNN81Toljh/EdvLksSlrnQveiG+R1mRgWDBvZ5u94mDoHm5CJkur1KlMkN+E+gDmbgPSST8mk40NQv034Ip5yTY9KBOEznMfxz8zyDjbFLk8QBDH0od6MIHwA6W2112LCQjPC0/Ox55mYbhYcEgRBDD3IDEQMC0i2CV+FZJvwRcgMRBAEQRDEkIKUFYIgCIIgBjWkrBAEQRAEMaghZYUgCGI4w7e7a7mvnUXIqeFO9ojLjbQgXnoTek1fX/s1zCFlhSAIgrjkcNcR5qyXkEcKEHEJIGWFIAiCuLQ4q5G7dB4Wph1GhxxEEBcDKSsEQRA+TQtqijcjSTT1sE9sBvKsDtkbfnf0fo7TUYG8jDgpnju3zSiAlTv2ZIpKzoOzkcIde2IXUsKvhzajFC2KuUmbhFdeSYKWnSeGi7mx8kpzkCE68uP5xSEjr0J2lstRnOhGIcP83yjOks4X05mrO1+L73TAmpchOZsVPxFIyjJL9fKGq07PIKc4z1W+Nmmb7KSUo5TN8nplrdQm2tUobeGVc6KtphQ53trBBU+zF1lJEXLem1H8zT/kOI6TVWO1R3uwUG+mIs/r6/K7DOS3HiIIKjwOCcJnINkmfJWeZbs7Z6sq539dnOz14ZzunHlyJ3vN/092QNgZ3p2DWcnZZncOY1l8skloEH329eSIU6m3uyNP9aczHw+81Mn16cZZrvgRnRRe6N7xo8upbw8OCflHdCLpzbEuO09xFnnRjnV7c/Q4OOF1V0MzKwRBEL6Ksw573zTDoVkONniy3r8DrVW5SNR8hOydB11P8W70eo4TLRWFyC5zgCkBYEoAhI56mJKnA2XvYqflZiR/UgqmsLDMHgNTJGDfOFv1RuXpSDbVo0O4gJrn7kFQy0HszP4I0CQiu9zOwgV02IuQqdPAkfMyXi07KZ8noUnMRVVrR2eZ2Icd++r5/AUabHXsOBLpJSf4SOf62I3xGN/jaDcdicZKtKrKFq+l4pQcL6Fcb0fNavyvoCZU7HwXZaIDxH2wi+3QgJJMpmI4tmHFq/tYW51F7d6/IIe7wFDqLTSjyqg4cuwHrnZSfpdzYMoJy0f+XQbyWw8hSFkhCILwUZy1X2IHN8ewwXPhhGvh5zcCgdOWIp8HFXwGi2jKcKf3c07CsrcIDu7Z+/GfSUoA94jMBntBsPTuJFMzD4/ffysbfEYiIGAUWiyfyf6skpASrREHJX/NT7E0IYZ9s+NQ/UmVGUODiPtmYQr3Oux/A4LHXiuHc8YgetHj0MGKTXPGsXpzk8zbMJvLUNObp31Wp6RHfyJ5O+627M7r9Q8IwOiWr7G3wCqdm3I3NGLFx0O3dLHo4dlxqB6Nzk4FKiHpIUwVvSUHYUrMvYhg3/oOUxBd7RSP+8dzD9jc6/9W2LkyxpTBgAH81kMJ3nIEQRAEMQTQYsaksd0MXP4IiPwdPm+1ocRkgsmYAGz6NRYujEX4vC2w9qawDAIkBYd/c6KtoRaVYijBIWWFIAjCR/EPmYQZ3N6gSYaxqlk0ibg+9pcx24tn7t7PGYuoOD00sKIg7yNUi0pAE6xZD4uzGXE51arZiN7wR1DU/Uhg5TkK8mCskBaDOh3/jdyCfezbTMy9M6R/A1XAFMyOj0d88kZ83lElmaO8mHTccOxB3u6/SQt1277GB2LZPSlGjKA7EJcQKZ1rPCAtBnYeR1nuDhSx1tHNnQ6tfwAmhE9mEaq2cjpg+egLlSLClKwJYdJMy/lmtJ6R03xmhUOM56jb6V3sruZGHabQWDdLi23jclA7rv+/9ZCCXYgLj0OC8BlItglfpWfZ7m7RpUbQGcqFVp6kzwtsVef0tMDWy6JUtwW24uJU9WrX7haOsvIyiwS7mFTJL1JILzkhntUZphH0xiqho6dFuK56edCvBbbqsjkd3S+w1b0glNilBbY9lqEsnu1LmgEvsFX9bkMIXnc1NLNCEAThs/B1DS+jrCgbifypW0SP9NxCbE+NFtdodKUP5wREI3V7IXLT+eoMjga6dCNK3kxBpLguYwyi//1p+XwNwscF9DA7EozIVdthKzEinS9sFZHLWz9XWgvSJ8Zi9nPbUWJMB1MgZHi98mHZvlyuVzdo0mEq3yWX38dz+IxI5ErssZXA6NYO/NxMzNbwdSWMIB2eK/sUhkS+GJihy8Qu0wZxXYuLoBg8U7jV1d6axK04ULLVPQ1vp9S3YclVXZ8uHcaSbCyLDGYHA/mthw5+XGORv4Pvy1YdEoTPQLJN+Cok2xcBf8/K1DnYhEyUVK8f+qYSH8JTrumXIQiCIAhiUEPKCkEQBEEQgxoyAxHDApJtwlch2SZ8ETIDEQRBEAQxpCBlhSAIgiCIQQ0pKwRBEMOKTi+/bh59BwUq78ql7j6Brhjca3Qc9768CDk1Z+VA4mpDygpBEIQv43TAat6M1Xn9ebMsQQwuSFkhCILwWc6iJnclohYaYO2QgwhiCELKCkEQhE/CFJWcRISn7GLfHShKmYYR2tUodfO+24HWGjMyYrnZg3spNrt7KG6rQXFWkmQyEuMLYHWclyP5pE0F8jLiWByPZx9tErLMVslPjoiTZbEXWUkRcpo4ZORVqOK7p71+f2fesRnIs0p+g1ywupXmZEi+cbyl4S980/I6ZcBc8XFnHWJXw1zDfevIqK+R17/4G3h6Eer9OonLjqDC45AgfAaSbcJX6V62fxRsxsfEeNdH9MtzQWguyZR8yNyjE3RuPmkUPzuMjnrBlDxdFSd/FJ85HVWCUe/FPxCmC8mmejGPjgaTkNzF501Pvmp68O/j8oHD6M43karsPvnb6e4axY/sK6kP10lcengbq6GZFYIgCJ/kOkxJzgdTWNh3DRufq9Dh6X3375ORUMo99J5Dg2k5S+VA0Y4vUesEnLUleDPnG2iSTWjo4N57m1FlTIZG8WDcZoet0sGyzkRJcwcfWeRPJYzxE+GPs6jd+xfkOKaDDepggzqEVhaX+C8oyy5EhdsMjyca6DKLYOfldjSgJJN7yfkI2TsPooUvEK4oRHaZQ/ShU24/J9bfXvICdPgGOSveRJlb3tORaKwEU47AlCcw5Qko+hT7as+6rrHTU3EHWqtyVb51GL1eJ3EloHYmCIIYrkTci5gpQezLKGimz0SEFMpgisa+T1HEvjlyFmLCCG7+uBHTUnKYOmNFwd6v0RI0E4tSH2IJNmDOjSNYfBwycnbDXFqDNp6Fsx77duxjX5gCsXASRnDzSWAEUvKZcuAowl6Lp7FFjRbR998lOTH0Hw/d0sWiUz/HoXo0Ok/BsreI1SMSCUmLES06DGT11y1Ggp5pGY5a1Dd2mqqAabgvJkx05OcfGIyxUiDDibaGWlSyb5qEx/HoVN4O/giYMgv3Rai0ld6uk7gikLJCEARBDADuLfkDtNo+h8m0C8Z0YFPKY1g4R4d5WRWDZyDXhGFSiOwBeUAMkev0cUhZIQiCIDwYhZBJYeDzC5rEXFS1qs0fAuwbZ4PPQ0gzETrExz+K5I170WEzQg+HZOZpG4NJM7QsTacZpjMPCzbO7pzj6IoVBXkfoZov9nUeR1nuDnGWRzNjEkL8xyAqTs/qxtPsQIW44Pc8HGU7UFDkAHR3405tX5QTVvcJYeJskqPgXeyu5otuWT6WEnzBzT5u9HCdPZqziEsFKSsEQRA+i6J0dLcbqDv8EaR7EluTp8ORvxTTArn5Q94J4/cwsqxNnbttXOF+GBGewpQKDXSpCxAddDN0v12NZM03yE+JQKAqnV/sZljVu4684Cp3xATM2cBVlcewPuUepiSxukUvQKqOXVX+CszSXsvyvBbaOS+gjKkQmc8twl0BfRva/KfMR0Z6JCssBynTbpTymbUC+WpdpdfrpGH0SkCtTBAE4bPwgX0J1idOlw7Dx+HGvvb6/hMRv8WEIkOiOMMioktHruVtpEYGg2kzeK6sBMZ0vppEQY/03EJsT42W1oiMX4AtZZ/CoJTPB/j0fFi2L0dkjwpFJFKNu5CtnCeWuwVLp1wnHQdEY9WeMpQY06GTQuQ0uVg/e3w/BraxmP3cdtU1svrv+gsMfO2LQh+uk7j8kNdlYlhAsk34KiTbhC/iKdc0s0IQBEEQxKCGlBWCIAiCIAY1XcxABEEQBEEQVxu1GYjWrBDDApJtwlch2SZ8EVqzQhAEQRDEkIKUFYIgCIIgBjX9VFbaYM2KFadn/OJyUNPlnT7cJfkiKT7JDM93AA5aHGYk+YUhyfydHEAQlwanw4oPPV3bd0s7E8Vl7P5ZBrOj3UMuv4M5KeyS3VfO42akyC+60maUQuUwX6LdiqwwHh+FjNKTciBHqaMfwrKs7IgHKWndP9qkzShWu+InBgn9laVLK3u9chnlvise99yAOA+HtRRW8U26jEE7nlyKa+0LHu1xiRj4zIrstdINl+OqIYYmHnlCLfLib5UDCOISwAbx7J9G4ZnP7X1UVnriVsTn1ULIi+98QdeAOYmyV19Gjtz7S87hpO8KzrrDKD7Cv8lO68RQzlnY62zsbyQWzpyIkTzoxFFUimndceSnQh++RHrbKUEMiEsp95eHduur+GnUOnxuv7SD81DlcrXHwJQVzT3Q3XMQO/bVu3XCztovsaPyf7C4wSpWBEE4az7Axk1WaJLXY8OSUKCyFg1urz7v9EbLcRR8BovrFe0/4Gglf2KcjPAJ0rs72+112M/+hhosuCDIvl867CjP5m8FVdz6EwRBDJyBKSuj9Vj+2wdQueNL1Lr6OMmleGVCApaEjZbDOHxKyIyspAjVFHEcMvIq4FDOdTpQsTkJWtf08Vq8wtOLU3/y1JU2CVlvZyBWySN2NcyqKWY+3W7O6szDLzYDeerp97YaFKvjeX7FsovvXqcd1WHe66NN2oa/Wkux2XWd7BrN1eSRc0gw0N/UU7a1iM0okKY/uWlkahTSjgBH0qJwTVgWrO1e5FR9To94yiVTKGr2qsqOQFLWXtT04m9FnFUx/glF3M9KRiKiJwQz+fd0qX8ejfW1rBwN9Bs2IJWldrnzb/kW5XzKxeXJth0njtbiCEJx7+SbpZkWjr8G0U//FqlMF3JXdogrjlvfx+UtH+XHzsiREr32n25wuS9ARqxWJXtmdxn26G/dTIKsv7eas5Ck9rfTbXlquZe/K+eoP8p90SVvj7GGqc01xZs741m575b/XY7rAedRmFOiEJtVgRbRhBqBFPNRnLdmYWpUGpP/MqRFBXaaRnEGx8rzVW2k7juk69A+noTHxXpoEZdTza69l3b1Zl7yDOtxLFX4O8rf7WksrUBeRpxcB55HFsyu38abKakzbIf5pW7a4+IZoBnoBvyPufFIqFSZgkQT0HEkxP0r/kUKEXHWvIOlUX9A5X3vSV43xSeuEBQsfQp/LOO28CZYs3+FWYaRWF/VLMYXzqjDq/nfSBkoOIrxUe0svMm9f7aWw4BcLHx6t7Rupq0C2UvmYUXlbJSK3kGbUZVwEplRv0K2OAV9EqXrlkD/0WS8Yz8nxa8fiWz9Guys8TBl9RVXfS6gtSoXc4tX4O6ojTiR9Ck6hB9gMVyDTQufH3j+xJWnX78pUxas27BELdutRUho3ISoJdtgPXsXVlVbYGCDtTjjULsKkf7VyF2qltNzsJc/i9sKEjHvj/v6NfvgPF6IlboHkD1yLRo6Olh9VwHZD0C3rqyHfHidC7COz6qkL8OjU8ZhQvhkFl4HW4NarW5Dg62O/dViRvR8PJQAlynI2ViPQ7zXiwjDBNG3i2IWmon7po9jf1WMvBmT7+Xayik0nfY+7BGXG9a/vpHK+r7x2Grj/asVG0NqUFDWOXT13n+qUeR+Exrn74K9Q0CH/Q3MqPyDJPeil2Q2sK9cCH12ILY2sP62tRLrkQO97hWUtpxBTe5KRK2own2lrD7svumw70P2bR9j6bzXUNajUiubhJTZO15PYzI0mmQYM+9nqrU0lnTmze+LJWjMXIAl2RVMqnndjXhS/ylCtlaxe5bdfxsno7KAO0nsifM4XmjAik/+F55eHIzPnv8DciJ+h4wFEzEqchWqLQamqutgsLSidlWkrLA7UFZQh/DXq+V6TkCBx3jg2P5P3LXnB3b9RXjlwUk401u79kofx1L28FFQeQdeF8fSShhv2+Mxli5AZuN8lPOxUsyjEiu8ykJXrrk7o5v2uHgGvmYl6A7EJRyXTUFMCL76hDXAfYiLcnf77T8lGXuFSuQlT5ccPrEnrqiH7kMEa9jGph+ZonsQO7MPQr8+DUunBklPZCszsV7tSEokBgkpP8cU3kEG3IH5CTGszSvwzffn0VJRiOyyGKx/djGmih1oEKYuTWN5HJSnoH9EUyNv6CDcGMibjsUnG2EXdiJZcYzVb5T6jETAlFm4L4LVN/FJPC060QrGnbE69oOdwKnWy7mQibi09Oc3PYWKne+iTP87PLtUlu2A6Vj67O+gL3sXOyvkmQg1/lORvNcOe16SLKejoImaI5bjYPJ5WkrVB86idu9fkOPgsyM/x3h/fwRMTUKeXe263wvO71D0pxz2zKN4r1U88tpxqP4ku4tlnCdRf8jOvnBTzyTRHT82vYHdNWdc5iHJVT9P24DDxUxZcc20qHCeZvcde4LXjEHwDQPvaoiLQOlfExKxYIrcv6YkIcHVvTr70H+qUcn9ynuhYcn9NfdipUrunbUleDPnn6xPX4EF45lMsPsiOa8Sgv1lzA4ajSnJO9l3I5J5f8/w10Tiofum9VOpZQqEeTVmpzRg6TsvSmOH51jC7tqAqYvx7PoYlGUXoqLlpFz3xUhZMJXds+z+i16MpIRIKctucB7/EM+v+AIPbv097v/HR3gtZyIML8djSo8irVHVg7Xngw9hLg7ii29OSNEcfTzm3xXMrn867tK09dquvdLnsZTd/8pvHTAVDz5yr5exNAXRGvbbufLwJgtXlh6bu2fGsE7sPtkUxAV4N9Cdu2w+Nfe+GWYz++RkYI7oXlui/duDMDnCMffOCZ2V8R+LSTO08oEC6/BERYMzEoHBY+TvypT1LqSEXw9l6spvxDSkFDnkQWA89JnPIdGWiqjAEeK01m7zxxe5WllVH/8bEBwyGqERE+HxbEkMKfrxmyoDelEKwkfIMsc+kut4WRH3Cp/q/Vi6F8xvI2PObFFO+0c7Wk/xTk99T/QGf6Aws472G3lWhSvp/hh94xiMZndPpc3ead76/m/4gtcpNBp3Th6NoKj72eC2jz2Y2GCXzUMR4VpJQWuzw1bJ0rpmWjoR17DxfLzEEVcGr/1r0O2YNTdUPuhL/6mi/SgOmqwInXsnJqt+Uv+QSZihkZTe9tZTOMKkKiT4hm4HGG52el+8B3YjJ+MRhKfskmP6gjS788TCLzDX+J9YLXtZlmb9HOyWnIYRynX4XS/lzRWh5jovdQ/GtFlR8ndvtOGr915jDwb34qG7gc9e3YayxGQ8zr1O90jP1y8SEoxAJUEf2rU3NW5gY6maM/j24AE4xPte9RAv5+FtIf6VpMe27Bl/qRPjpiDLX7G3YDwS5t/RxV2201GM1XMiEfXHctaFM4IfxOuWt6B2tn1J0GSipJlPYSpThPJHXEWuPHk2w1ZSiK3zgD0rHkKUdh5Wlx7vVQgIojs06SVo9pS57naWOY+jdPU8aKO2oLyJS93NiHvdDGOXJ5/LgGtWhfXbm+bgRrkzv0a0L7Mw1aCkLJjFvZOh5X2aOIuqRdGOPPy55CAL6OwQFbOQa6ZFgV1rWe4OprixJ8zF9yDsInoa4grQY//ZB04zBb1POjdT1kvXYg7re/9Y/k927I/guE2wGB+TovuAaAKdZwAys/GKMqvpIhLpJSe6XofwBuI118hp+kMA7vrl00jW7MdHB4D7f7scuvwcvHuldrj1uV0vJ4pl4upycV2IbAoyZmxAQcQDiAnzNKmcRe0nb2ODbSlK3t+A5Ph4xMf/DNrmv7t2Goy8fSYWamwoPtzQqTS4pqH7gjyV7VAtAuyWIEyZ/QjiH12FvIYqNkhUYkNeOb6XY7ul/R+o2+9lbyYxfFGeNvqxeNRZuxcbN/yTdabvYmPyo+xeeASztWekmYl+MRKBY/h8D3ta7JOZ0YmWsjexIsfTdq1ifx3sYlbKglmoZpXGQpfyFPRFW7BpO48Jx2Qtv9fZE65oFlLNtHD44srs1XhiQxEbBJci49EpF9nREAPFe/8qm+dE+tN/MkZOxMyFkThSfBh1KrF3trJBla9xmjQWIwPHIJQ9pTc2ne76IOiswycb34Qt/R28v/FX7B5gY8Ls8WgW10j1Ab6m4okV+GTuBry+eo5oLlGQZiE8t9qr8Fr3drQ29Xzd/uMfxotb78MnK/4Tn938EJ5OPoq01WYv7xm7CPrQrt7uIdeDBePix9LRuH3m3dAcqcDhOtVaS1leujyQuFDWrV1eLrIPkUxBfy/7OyK8Pj0pN4IVn1n4amLWudUU4qV1uXB1z0EzsSh1JorWGJBbzUWsBdW5Bqzp89S4P4KiFyBVZ8emddtQKpp2mPZesQ1JWnmVtbiSO0Lc3VEhxvN6lOMLpjHp7/sJbhHzUbgewSHBQPFH+ITXh6+ufu1VZJOuQrgxBtGLHofOkYt1r5RIuw1cK/EXIYcvpJMXmJ450cy6bqUztaPis6+k9G3VML+0EZv6/eR0HcLifsGe9nZhzcaPcZzlJc5g8l0E3l7W6KzB7o38nnsMRtuPHk+cx2BKDAWO1OLoCa6teHmPCsM/7B4sVmaAQsMwcRyPUUwIHlPvgeHQp+XDwRc+lv4HZnszDRNXBs/+lcvolg2q/rUP/aeUUEaW+6LNeGnLflGOnY792PLSZhTpHsei6DFMVubgyeR/YWVuReFxlp84o8h3l7D7ovYGScmv+G9YxLJaUGPOFhd994q4cDcFaXgS77zyS3l9jQrxWh+CY9NGvCLPmPO6ibv5xPtCVffcb9AmXqcRL63pzQQ1CuMXpGHrg3/FazuacP+La5FcuRkbC4+KZYzUTsa9aMWJ5ovZTNF7u+KGYIRojqD4/VJUt7HRlMW/9mqe+GAhcsnG0n1Y85JRGitd8jITqYtmssd9f1aNMezxZD/e/4TvbuJtmIdXs/mcrcSlaY+uXGQvIpuCNDFYHDPJS2YsXvc0CrNDkDtnAuvMRiDwyXKEL09FIm/08m9ZcwYjMvVtlKe1Y820G5lAT8VvbJORoOvH1HhANFK3FyI3+kvM0V7L8rgW2gUViNi6B7lLp8LffyIWrDdiQ8gHmCXGs3pM246QDewcHi9nI8GeIp/5E3ITGpDC6zNCj20dkf2rDzEM8EdA5HJst2xE9AGmoPB1KyO0WHAoAlstW7BUXBNyC+5OSkC4aHZZBvPp/4VnCp/Fbbl6KX3gSpSHPwFD4nSmHFtQ1Y/tvf7jF2BL2adIbf8DJrC8RmiTcCB6Iyy5T3gs/OOzKvlih9W5VkXNTZgYwU1WNtTZWeeiLJhVvUdFxH8SYhbHSN8V8xDrqqRdQ57okW7cA4v1ddciSuJqIfWvlg1jUSD2Z5HIaJzi3p/11n/KySQUuU9HyAePiXI8QrsMhyLWwrJ9OSK5AsH62/gtJhSltmLFBJbfiAmYc2AGcsX74lbWv25B9m275bKm4sny/4HlBv5OHgvKq7o3N7R/tQvpfHaw7AX5XFk55h/x1QDytebOwAFxvFHVTbwvVHUv0COQX2dGHSIS+rAogV+T0YLPV0UjaHw8jPZKGOMnSm1zyywkZf4LNs0Z57FFuD/0oV2DYvDMnnwkHMvEtMARGBH5Fjpifg6dnIPyW1+KsdQ1Vrr6tLeRKq7Tkcb0Pbk/x7GUCLENI7e1IkbdhpekPboyOL0uO6uR8+BsrJnxDqp72t1AEH1k0Mg2QVxiSLaJbhnCY6mnXLsrzVeDllJkaLWIXV0sv7inBTWF+ShwTTsRBEEQBNEjPj6WXn1lRZzaUk2l+92I8Nc6sNQ17UQQBEEQRI/4+Fg6OM1ABHGJIdkmfBWSbcIXGXxmIIIgCIIgiB4gZYUgCIIgiEENKSsEQRAEQQxqSFkhCIIgCGJQQ8oKQRAEQRCDGlJWCIIgfJbvYE4K69+bRLmX/A+t8rs6PI/b4TAvgx9/I7OjL36pCHeo/QYKKSsEQRCETBus2UsQ9cznsIvKiefxSGji34DkxVjxHHUlcaLNuhmx4uv15SBOWwWyYuOQZW2TAy4DV6IMzpUqZ4hBygpBEAQxRHCi9agNnW7zZFobUFnGHSNeRq5EGZwrVc5QQ1DhcUgQPgPJNuGr9CzbxwRTYqiARJNg54cddsFiMgiJGojniR9dupBrsQsdQqtgMeg6w7t8dILB8oNgNz3Jvj8pmOwXxBKEVptQZEgUNHI6TWK2UGRrluKEc4LdYhIMidPlPDSCLj1fsNjPyfGesFrYSgRjul5Or85PvhY5XPwk/kX4/8T6qMLEuv0gXYsmUdiwQapbqKFc+KHbvBW81NewT7B5LYNff7NgK8rubE9WnqHIxlpSwSNelyoYxPJV7efigty2clq3cni98oV0nUYO760dhz78OtXQzApBEMSw4CxqclciakUV7itt5iMBOuz7kH3bx1g67zWUtYxG5Ko9YIM8EGqA5YLA0rSqjj/HqkiVJ26O8yjMKxdCnx2IrQ3nILRWYj1yoNe9gtKWdrRZt2FJ1B9Qed97YAM4iy9CQuMmRC3ZBmubsihGjROt3/w3bD9ZB3sHTy/ll7TxMxx33or4vGqwAb2zfnmLEcXNUnYTEqGDwdLK6qwyUTmKsbflCVhZXrWrZuLHbvPmibmJidf3TZx4ZJdY3w77LsxHMwK9luHEcfNq6JIOYUahHR3COdjfmYyP9Kl4w8q9R5+X4vWfYvw7DSy+A62v34HKgiJemBdkE5vXclIRGfUO8HRpZ716bEffg5QVgiCIYcF1mJK8kw2GRiRPldza+Wsi8dB909igfgpNp/s/6DlrS/Bmzj+hX78CC8aPAgKmIzmvkpXxMmYHNaFi57so0/8Ozy6dDlHNYfFLn/0d9GXvYmfFKTEPd/iA/QdsTIqGho9OAVPx4CP3wvFFHRoHMiZrluK5/5gj5dVb3s4a7FxtgC09A8/GTxXr66+5F79b9XNo+OmeOOuw981PEbE+EyujNWwwHQXN7GQ8nViNNz4/gnYx3gyw/P5j9ngW78+KXIxn1z8mZ9BHVPmo67Wyx3b0PUhZIQiCGEY4HVa8bzbDbN6NnIxHEJ6yS47pP87WUziC0QgJvqHrYOI8ifpDdqAoBeGiYz3pMyI8BUVoQmPTj3JCD9pqUMrqtzsrCVq/a6Bd+KYcMQBGj8GNo1U16ynvNjtslaMxd9btffNQ/P3f8EXREXZ50zBCvjY/v9uwMP8Izpxoxhkx3jO/kQgMHiN/7yNe82GD9+Q7MTe0h3b0MUhZIQiCGBach6N0LeZo5+GP5f9kx/4IjtsEi7GfT/r9RJNegmZuAnL71CIv/lY5hQrZrPTE+3XA7b+FteOCZPa5FPSW92k28Pd5f7dCKBJNxzyuTYB94+y+KTxEnyFlhSAIYjjgrMMnG9+ELf0dvL/xV4iPj0f87PFotrHBe4D4B45hw/UZ9nR/Gl2sNP5jMWmGFo6Cz2Bp6aMN53sr3s+5FglJS/HoI5HQ+LejtekSmTl6y/uWn+A+PXCszoE+bRoW059Bcfm3aJGD3Bg3ERGhnm0zgOvpphxn3WEUHwlGSPD1cohvQ8oKQRDEcEBRHir+GxYH3xrbghpzNtZtskrxItdBOzkcOHMKzWf4EOt57I5/2Bw8mfwvKFqzFYXHWZ7O4yhdHQc/v0XIqRmN6EWPQ+fIxbpXSqSXyjkdqNjMTTA8/qyUiZob2OCrsaPiYB1TGJxoq96Bl9Z4MVOdqcfR7z23955E1dF/dlWaFHrL238y4p58ALa057DOXC0qLE7HfmzO+lj1Qj1VGWL6eGDTRrwkp2eZwpyxVnrh28j/ifmrY1jbbMCWCgc75zxre6P36+lCz+Xwem15aTMqk1fjt7qxPJXvI6jwOCQIn4Fkm/BVepZt963LHfZ9QrbbNuK3hF3ituNIIb3khHhGh71IyBS3yIYKiaZjHsd1vW5d7twKzfHccsu3CxsEkyveE5a+fKtrqy/fWrzLsERAqEGwKDt9WysFo3INypZsoVmoMibLdVBtXVaf15e8PbcaQy+km6rkrcieZbCT+Fbw3HRBJ4bJ6Y0lgq1VvjoWX57tvq1bLNPr1mUFL+V0qdd0IdHwaWc5Pgi/TjV+/D8WKMIXCKkOCcJnINkmfBWSbcIX8ZRrMgMRBEEQBDGoIWWFIAiCIIhBDSkrBEEQBEEMakhZIQiCIAhiUEPKCkEQBEEQgxpSVgiCIAiCGNSQskIQBEEQxKCGlBWCIAhi+CCcxclvv4bV+i1OttP7aYYKpKwQBEEQfaQN1qxY+IVlwdouBw0pzqBuZyrumXInon6zA1Wt3b6cnxhk0BtsiWEByTbhq1xW2W6rQNa854AsE1ZFBsiBQxUBF45sR9K/PoH3fojF8/+1Ay/8dBz85FhicEFvsCUIgiD6RmsDKss8HQYOUdrrYF6/nikqN+Ffn/8DnokhRWUoQcoKQRCET3MeDqsZWUkR4tOqn58WsVkVspfgGpTmZCBWDGcfbRKyimtYXDsc5mXseCHyUYa0qEAWvwxmR5NkBkoyd3oidjpgzVPl4ReHjLwKycsyp92KrDA/hGW8jR0Z3COznEbxVMxxeWOW84jdDGsby8BZjZy4MLG+LcfNSNFGIMV8tHvPyt3SgVP/lYsXcquBqcvxysoY3ESaypCClBWCIAifxYk26zYsiXoTJx7ZhVZBQId9F+bjJFp5dGsV9tqmI8t+DoLQjKr1I5Gd9CqKjjuhiX8Dgt2EROhgsLSy+DcQrxkp5urCeRTmX+kRlTsCT9uaWZpzsJfPR2PmAizJlhUimSObduNwXA46eDnGCShY+Dx21pxlMWdRk7sSsz6YjHd4PTrsKJ8/Ag18PYn/FCx6eTmQ9iLeaozBi1vvwycrDCg83s/Zngs2FL76DqoxFUtfWIqfjRkhRxBDBkGFxyFB+Awk24Sv0qNsd1QJRr1G0KSXCM1yUI/YTQJTTgSmnHg/FloFi0EnINEk2NlRh80o6BEppJeckKJFfhRsxscEaDKFkuYOQbhgEQyhcK9Dc4mQrtEIemOV0KHkqTcKNpa8KyeEkvRIAbpswWI/IBh07HqSTUKD17ScDuHHpmbhR6d8KLQL/yxZI0xl7RQw91Xh0GlXBDGI8ZRrmlkhCILwVdrssFWOxtxZtyNIDnKnBTWl78O8OwtJWj/Z7NNX2vH9NxUoQhRmTQuWwzjXYfKd0Qh1nELT6U6DzehxN2K0/B2jb8S40Q4cOXUaThYa/vBSJFamQPfvWdj9vrXThCQyFj9b9AuElm3DqwduweNPz4cj5zW895V63kahDTUFT+GO4On4+QvFcPCtycIxFP+f91CNu/C/f/8Y7hhN9p+hCCkrBEEQvsrpJjS6Fpd4ch7Hzauhe8KMOvwEv7Wek80+Vxp/BExNQl6NDe/MA/b8JgraOWtR6lBMPSfxXzv/giO65fjt3d/j3dc+gCb5afzyLm+7k66HdubduPf2H/D5ixlY/V4Vmr/+EK++dwS4+3E88dNbaFHtEIWUFYIgCF/llp/gPj1wrM7htn5E4nuUv/8pkJCEXz/6c0RqRsHZypQbObZ3RuKW6dHQw4LyqiY5jHMWdYcrcEQzBsE39GOICZiC2Y+uQl51CdJtBcg78D0L5GtuCrBuUwgMWY8j5MA7yLbFY+uLD2O816xHIOB//gIvv56B2ICvkPvUCvxq3Z/xJULxy5XxmEmzKkMWUlYIgiB8Ff/JiHvyAdjSnsM6efeN07Efm7M+hgPXIzgkGI6Kw/iW77xp+wa5L21GkXSmipOoOvpPrztw/MPm4Mnkc9i0LhvmmhYWcp7lZ8RLa6qQvPVJ6IL6MsS0wZqThTyrg5XBlBP7d0xhCkZI8PWssjXYuXobYHgevw7Zh+dXfIEHt6ZhwfhR8rneuBaa2U9h0x8eQUDb59hl+gq46WEsib2VZlWGMKSsEARB+CyjMD7+ZZQVPYDGFdMQ6OeHEdoX0Th5MgIxFrpntiD7thxEBY6A3xQDmuclYYl8pojmfmQao/HJwkkYIW5d9nhtrf9ExG8xoeih41gRfiP8/K6FdkEFIvJM2BI/sY8DzChoJ51GbpSWlTECgdO2I2TDn/CMbizLfyqS99bi81XRCBofD6O9Esa+5Os3BlFPPY+X5t7KDgIwdUU8fnazx04mYkhBb7AlhgUk24SvQrLdHQLaT9bi8NFzuDl8Gm4NoO3KQwlPuSZlhRgWkGwTvgrJNuGLeMo1mYEIgiAIghjUkLJCEARBEMSghpQVgiAIgiAGNaSsEARBEAQxqCFlhSAIgiCIQQ0pKwRBEMMGJ1pKV0Prx/0ArUZpi7dXvV1NnGirMSMj43106yVgQLSgOidFum6/MCSZv5PDfYC2apgz1nZ9B46PQcoKQRDEcMFZg90bcyVFwFGL+kbF/84gof0rvPHzhTCNm4BxctAlwfEZNqR8gghjFTpaS/Ds3bfIEUOdNljf+A0Wmm7AxHG+/dI7UlYIgiCGBedxvHAr1hTF4C3TFuhRB1uDN8/FV5ETR1F5JBILZ07EpRt6nWipsqAYMVgcMwn+ARMxRdPT6/qHEj/gaOV30Cycidt9/AW9pKwQBEEMB9oO4b3XzED6Miy+fzpmaOw4VH+SDeVqWlBTvBlJWm4u4aaiJGyu4D57ONxEsxdZSRFSnF8Ekjbvh8OVgce5fnHIyKvojHeYkcTPyXoVGbFaMY02aRsqZO/K7dYshGkXIh9WbJpzB+Jyqj3qxvDMQ7sC5uNnPeqlRWxGAaxividRmhGNG+dsgAO7kBI+Wc63n3XttRzOWdTkLGJpn0FOcZ7rGv1i1R6kL7IN1bRbkRV2GxbmH4Fj0xzcGJeDGpbO6bDCnJUkm7x4+Rmy36UhjqDC45AgfAaSbcJX6ZtsnxMaTMsFDR4TjLYfBeGCRTCEQtCklwjNcgqBfasyJgsaTaKQXW4XOpRj8ZzTQmtVrpComS4kZu8T7B0d8rFG0BurWNofBIvhIQGuc5X46UKyqV48bi7JZHmxMhO3CuX2c0KHvUjI1GkE6I2CrYOX/6NgMz4mINQgWC6IFerCBYtBCGV5QPeCUMLyEHg5lmxBB6VeLKi1UjAmThc0ySahQcz3mGBKDFVda291HWg5J4SS9Ejx91CukV20kK5R2rmznIG1YVc6bEZBD51gsLRKAa3lgoG1qav8jgahJFPP8lwumBr4dQwdPOWalBViWECyTfgqfZJtt0GTIw3gSDQJdvGYIaZRBk4Zu0lIRKiQaLJIA7FLseB05tEgDpqRQnrJCTmOoy5DVkQUZUnkAsv+SRb2pGCyc+3EU6nwRMnjITY4/yAFdVQJRj0bnN3O8cjX47qkAb4vde1nOXIa6LIFS6vcSLJSGGqwsNSyMjPgNvRELl+TKZQ08wzlensqJuL189/wmBwwNPCUazIDEQRB+DRNsL6VjU2Ox7A+5R4EiWE3YWLErcD+OtjFTSROtFg+Q4FDXtchpmFo4pEn1CLv/mbsLbBDv/gehLkib0V8Xi2EvJ/j9L5PUSSab8bJ5gv+kUwUEm1osNUB+gcQE3adHOZBy7coLz6DiHAtAuQgd5Q84jH/rmAxxFn7JXYUOSQziKvca6Bd+KYYz3E21uOQQ4sZk8ay6zqL2j7XtX/loM0OWyU7LeFB3BUgN5K4BkeD0DE3wL/l64tsQ0+aUFVuASLCMIGX56zHvh37oEmIx/3jPdfknEFj0+khbQpyNRlBEATheziPl+JP2R+xb3zNxvXyIBiIqLQy4Egtjp7g2soZfHvwAByh0bhzcldlov3bgzA5wjH3zgleBo12tJ46AYQaYLkgzta7f/LioWk/ioMmK0Ln3onJrgzOwl5nY+eFiTtZ3JUKLzhPov5Qk9tg72w9hSPQwWBp7Vqu8AbiNcD331QwJSAKs6ZxxaMPdR1QOSPlNlLXX1nYK7Wb82LbUE7pQqynHZoZkxDCM5SVJU9lr9d2HSIM5boTBEEQPdKEr97LQQ6Ww9RwTjUAdqC5JJMNgDbU2c+ydCMROKb7zcL+gWMQKn/vljOn0HzG+7O7s+4wij0nCFoqsDPbBt2ynyF8pBNtDbWodCkVXvj+b/iiKNjLoNuKE838GrwhK0T6aEy/RbVdpoe6Dqycdpw4WssUGnX9z6OxvhYOzd2Yefvoi27DLojKyWjMnXW7PFvmDfb7f2BGkUaPuKgxctjQhJQVgiAIH8VZY8bqtIPQpSZC72Ya8EfAhDBE4DtUHv2BHY+C9s67oTuShz99cBRONtA6rAXIiA1DbFYFzminY67Ohuw/FeE4G0udjgrkZcTBL3YzrG3XITx2PnSOPcjb/TfwzdDu8e2yIgIc+ehD/BffGcNfZPbSRmwKfxLPPT4DAa6ZHWmWxRvt9jrsx2SET+icNxgZ/jMs09lRkPcRqtvEisGal4FYv4eRZW1ixw04XGzrnH3A6F7q6hxYOR6zRBKyOUk20/hfVBt2VWCkmZxbETHxJikgaCYWpc5E0RoDcqtbWEALasybsCrtKJK3Pgld0BAf7pmW7cLjkCB8BpJtwlfpXrblBZ2uBZgeyItupcWfYoBgM2UKOpYfz5PvSjGYLNLOF74zxWYS0vnuHTF+upBoMAkWcacMh51blC0ksvykeL2QbiwRbOJCU2XhJ8vvrXQ5f42gS89Xna/stuFx6kW4CnIeXXYK8Xp9KhgSp8vl8nyNQolNXgbrbdFwX+ra33KUxbXqhbBdFuVeTBt6Qd75w+viur5Wm1BkSBR3XYl56NKFXAvfWTT04PVX48f/Y4Ei3JapOiQIn4Fkm/BVBr9sfwdzUiwWNq6G7ZNkTKH5fKIPeMo1iQ1BEARx+Wj/B+r2H/FYXEsQ/YNEhyAIgrhsSItrL/Ur9InhBpmBiGEByTbhq5BsE74ImYEIgiAIghhSkLJCEARBEMSghpQVgiAIX6ftG+QkxSGj+DAqNichIssK8S37lxNnNXLitNBmFOO70tXQ+i1CTo3yUrXzOG5eAa12NUpbfkB1TorsJTgMSbs+Fs8LuxJ19EqLe33M38nhfcdZk4M4v1hkWfkbUy4W/r6UtcgYQD18CVJWCIIgfJomWN94DgXjU/Hv2IEFH8xA7rK7Lv9iV/8peDTjf2Nm+K0Yr0vE+gV3d77Kv+0Q3nvtU0SsT4Tu9OfYkPIJIoxV6GgtwbP/owlfFI3GvZNvvjoLch2fudfn7lvkiL7SLr/iPxyTtd34QeoH7da38POFZRinvPxtmELKCkEQhC/TfgSfv3ENEpb+BPbPDmDu048iUnG0dzlxfofP3j2O+JjbcOarT7Bjyp24XdQ+zqJmZxbSbIuQ8WgY2kT/ObIDxYCJmOxnx37MxH3Tu3/9/+VD8efTWZ8pGk+ngL3RzSv+B4T8Gn/5lf3DGVJWCIIgfBnR8+8urHnzXVQcsiH/td3S69v5K+/569xFcwf7aJOQVVwjvupdpK0GxVlJsjmEfWIzkGd1dHruZfGlOfyV83K8XwSSsvaiRnw1PFNIcl/E+/f+DosCP8XyVS3IeCZG8mHT8iWMa6qQvPXf0PHS/8KNczbAITpZnIy4nK9Qe7iCDc5hmBTiD4d5Gct3GcwOxSDE8s1ZxOrKzUdOOI+bkaKNQkbpSSnaeRylq9k1aVOQI75y3hPuRsCMrKQIuc5axGYUwMpdAOAkSjOiPepT3Xm9LlpQU7wZSVrluuOQkVcBh5LQ8xX/vbUj+9ZWs1dVJ9aOm/ez/NpgzZoreXZ2bMCcG3+BnJo2qU34b/W21PbaFDOOO3u6Ll6EbJL7fQ6KRTcBcprVxZ317k0erjaCCo9DgvAZSLYJX2Vgsi2/il+XLVjE17k3C1XGZEGjvOpefpW7JnGrUC6+Dl6O1ywXTA3suKNeMCVPZ+e/IJSI8R1Ca1WukNjl1faeyK+zd5V7TDAlhqpeSS/XS3xtfatgMeg8Xn0vx+uNgk0s5AeW5iH5+JzQYFrOrkEvZJY0eKmD8kr/6UJi9j7RjUCHvUjI5NeZbBIaxBM86+OJXJ4mUcgu56+xV657upBsqpfKFF/xHyokmo713o6q86U6ebSj/Mr+TpcIcpvw1/1nFnW6QujtumTXCuIr/uVymksyWVtFCuklJ1iCXuThKuAp16SsEMMCkm3CV7koZQUPCQbLD3KYguLLx8OnkN0kJEIehL1xwSIYQtW+hrwgDpqeA7tKwVHn0cW3DkOOV4d1NJiEZD7Ypy+XBmxjJRvSvaDk51JMOMqg/aRgsrNae/Ul1EmHzSjoXQO8gqTgKH6BLlgMQih0rF1P9KEdPZUvjio/Ma2qPMUHkUup6Azr6bqkejMFx1DuapvOevKQnuTh6uAp12QGIgiCGHaMxezntqPE+D/xUdRiZOTshrlUnvJ31mPfjn2y6WGEyiywEPniuRxudvgYZrNZ/OzmZo5ropB2JLSHhbFNsL6VjU3hyXhKf6u4BsHZWI9DDi1mTBorrUkQTVby227b7LBVAhHhWrj8H4vxoZg763bJpMTwHz8bT6VORP6mbbAlr8XLS6d3plfhrP0SO4q0SHj8ZxjfZeQ7habW9q71ceMsavd9iiJYsWnOuM528bsNC/OPyGlUa0wm/6P3dmz5GnsL7NAvvgdhrgJvRXxeLYS8BbhBXD+j8gAtt4k+4UHcJa876v26zster2OQMP8OuW3kemIcxgTyX6sHeRgkdP09CIIgCN8nYApmJ2/E58Ie/Da4DCvm6LCQr9FwnsapIw6EGiy4IM2+qz61yIu/BcfNqYiM2oLyJicwYiLuTf0zqksyoWEDbUQ3u1acx0vxp+xGpD+XIC/wVXbNRGHWtGCeQl7cKg3OXRUHJd6jjLYGHK48yr5EdjNgc5zygK0a+EXOo7G+Fg55jYx7fTxpR+upE2ANA8sFz3Zhn7x4dv1NqCq3MA0rDBNu+LGXdrwV7d8ehMkRjrl3TvAyGKvrJi3yldpEXvwrhfThutrx7cEDbvlwxVGsZ2h05w6t7uRBir3qeP1ZCYIgCF+Fe0EOg1+SGQ7xeBTGL1iB9Xqg6Iu/4XsxDDhzohln5O/ufI/y9z+FI/FJPJP8KOIfiYTG/xQse4tYft1t123CV+/lICfiKaToxsphnrtmelEcxN1Fe1i8amcMX1D78u+RUhyGxCXnsGnjB6jpz+ja9jU+KNgHTcL9iAo637ddPGdOoflMN4U4T6L+kL1zcS2j+3ZkA3DgGITK37vShgZbHTA3CtOCeGaycuemdHSD23U142jld6p8GEo9F87E7SP7Jg9XG1JWCIIghhWBmBgxFSh+H3+p4LtS+G6UcnxR+S9IZorHLSNDEbvsITgK3sVucUcNN/kUICM2DLFZFWwIvR7BIUyBOFaJKr7bxOmANc+AdZus7Ek9DBPHdR3oXbMqGfMxRRl1PHfNdBmcOZJ5RtxRk/08VuR8I81aiDMzLajOfR5PbAAy39kK4x9+B33Rn2Ask3cGueGPoOgFSNXtw5qXdqBa2Q217jmk2eKx9bcxCOpSH09GIzx2PnSOPcjb/TfRROJ0VCCP76CJ3SzvsOJmmtGSmarXdmS10k7HXJ0N2X8qwnF2ult+TXU4aLIiNGIipE3csnLnun5OH65L8XrtyofhZmLrRR7kU646ggqPQ4LwGUi2CV9lQLLdahNKjOmCjp3Lzwf0Qnpuuby7RIovMiQKGiVely4YS2yuxZkd9n1CduJ0+VyNoEvfIhj4sdvOHQVvi0gZXhfXdh67laFJFAyf7hIMrgW35wR7yQseC2q7KcdFB7usT6V6uuqdL1jEXTqMXhbXSjQLtqJsIVHcWcM/rN2MJYJNXuwqLVpV7aDppR2lOpmEdJ1Gzo9dj8Ek10neecTD+TVd8NwZpNDzdUmLa90XRndZKNybPFwFeD3UkNdlYlhAsk34KiTbhC/iKddeJ7sIgiAIgiAGC6SsEARBEAQxqCFlhSAIgiCIQQ0pKwRBEARBDGpIWSEIgiAIYlBDygpBEARBEIMaUlYIgiAIghjUkLJCEARBEMSghpQVgiAIwofx9H0zRGi3IivMD2FZVrTLQcMZUlYIgiCIHmiCNethj0HTW9ilxok262bEhmXBellH6ytVTk94qcPISKyqFVC7KhI9uFUcNpCyQhAEQfRAK45WVsvfFbyFXWqcaD1qQ5l8dPm4UuX0xGCow+CGlBWCIAhfx3kU5pQo0dtvy3EzUrQRSDEfZUMkpwU1pTnIiNWK/lj8/CKQlLUXNdyDr8OMJL/bsDD/CI6kReEavzAkGdZ3DTN/5zJbaJPW4pWkCJZPLLKsx7vPW4F7bTZnIUnL4/nnYXbeYZiTpkK78E2wQhB1DQtXzDjcA3NWErRiWl7eZhTXcK/GMm7xWsRm5KP82Bk50hNuIuqmHNGbdAZi5XL8/OKQkVcBh6rqXfB6LU08glWrFDnco7KcX2e9u6mD2J5y28q4vDIrdYrNQJ6Ve0rmtMGaFQu/sN8jZ8dqud78+s2q9j4PR8U2L/U7i5qcRZK355a/M1mJgDbFLHqCHjQIKjwOCcJnINkmfJXeZfuc0GBaLmg0ywXTMZtgSp7u4Zn4mGBKf07ItdiFDu7BtypXSNRMF5JN9bL3YRafGOrh7ddLmOg1WfLYm1nS0Hluj3nLnoV1mYLJ1syOzwn28rcEQyH3EHxBsJuedPfk3FEv1l+TuFUo516FOxqEkkw9Oz9bsHDPx3I8dC8IJaLX4WahypgseT1ONAl2KRcPui/HvV5bWd01gs5QrvKarKa3a3mh05Nxa6VgTGTXkWwSGsSG8FIHsT07vSV3NJiEZF5+ukny8txhF8qzuUfnhwSD5QeWopWVr2Ptz9JkFrFylPZWebIWvS0rv4+6fvz0csGgCxWvr1ksS/07XXk85ZqUFWJYQLJN+Cq9ybY0yPGBp05otmQLOtfg1h2eikj/lBVNeglTEbrD/Txp8IwU0ktOSNFudB3ApfSPCUbbj1IAx24SEqFj19TqPb+OKsGo1/RLWfFerx8Fm/ExAZpMoaS56xDe87V44llmb8pKN2XL1ya1uaysuKU5IZSkR7qU0wsWgxDq2X4uOoTmkkxZ+amTFC+u4DZwpe/K4ynXZAYiCILwWdrw1XuvIcdxLx66G/js1W0oS0zG45HBcjyHmyjKYDZvR5ZovpFMPANl9LgbMVr+3nPeLK6hFpWIwqxp6vp0Rzu+/6YCRdiFlPDrZTMG+2gXIh+tONHcJsd75Od/A4JDOmvUO0o5nvW6DpPvjEao4xSaTnvaR/pwLW01KDWbsVs0UV0jmX36zAl888VBYG4UpgWphm3/CbhzbjgcjU04LQdh9BjcOFpJcx1uHBcIHDmFVlblkeEPYHViFVJ0TyJr98ewOs7L6Tj+CPrZQqSGfoS0V7+C9vFkJDq2If29ykGxG4mUFYIgCJ8lAHf98mkka/bjowPA/b9dDl1+Dt4V1ylIOI8XYqXuabxfB9z+2yJ0CMdgSgyVYy+OnvN24nTTqQFsJ34SJvsF/tit+liwcfZYOf5q0Mu18DVDKxfiCakhYO24ALvpSTnyChIwHcl5+2F75+fAngxEaedhdelxVnuOEy3/ZUL2kYdg+O1dsL+bg3zNcmz6ZcSg2I1EygpBEIQP4z/+Yby49T58suI/8dnND+Hp5KNIW21GjThCteP78iLkYB6Sfv0LPBKpgb/zNJoau1uQ2h96y3skbpkeDT0aUGdvk8N6QklvQXlVp7LVyUiMmxiGUJxCU6tqLqDf19NdOWdRd7gCRzRjEHyD59DZy7V8b8X7OdciIWkpHn0kEhr/drQy5abvjMP0+2YCxRZUtahmdZwNOFxsgyYkGDfIQb0ThCmzF2NV3ucoSf8nNuSV43se3GbBW+t2ItzwPH4d8hX+lH0UyVvTsGD8KPGsqw0pKwRBED7NKIxfkIatD/4Vr+1owv0vrkVy5WZsLOS7gfxxQ/AYaBxf4+C3fGdKC6pzDVhT1HWO4EzVUXzvYf3wFtZJ73n7h83Bk1x5WrUJZnFnDN+t8jay3u/cAYMz9Tj6vWSukNKfw6Z12XJ6bmYyIyPjfXFWY+RdD2O1fh/WvGREBTdxOB2o2LLB6/V0ocdyeL2MeGlNFRvAn4RObYqR6fFabghGiMaOioN1aON1rt7B8tolnahGVQd3rkNY3C+QjFyse6lQ2t2jXFtlPLb+NoapIL3Tbs3D88qOprZG1DeekxWds6jZmYU0LEfWr8fhs+f/gE8eXIsXF0wcPEoCX7ii4HFIED4DyTbhq1y0bLt2lfCdPNOFxOxcwbBEvXhW2VXC45UFn17C5AW2botue82b0WoTigxKGvZx7abhcdKuGTFcXiDbYS8XctP1UpiYPl0wlthcO3Q67PuEbOUcVZndL7BleCmnS700iYKhqLMcr3R7LcpuIilck5gt7DIscV9Q61kHj91AYpvbPhUMrmuT8ilS2kpZYKvO0yOsw14kZOo08vl8Z1G+YBF3TQ0+eB3V+PH/WKAIX6ykOiQIn4Fkm/BVSLYJX8RTrskMRBAEQRDEoIaUFYIgCIIgBjVdzEAEQRAEQRBXG7UZiNasEMMCkm3CVyHZJnwRWrNCEARBEMSQgpQVgiAIgiAGNQNUVs7DYTXLvh4U/wxJyNpd5u76myCIPtAOh3kZu4+Wwey4dF44nA4rPnS5jycILzjMSPILQ5JZ9RK2q8Z3MCeFwS/JPIBX8HMu0X3kdMD6oVV6cRoxaBiAstKC6pzfIHLe+8AjubB3cL8M52Df8wiw52mEz9sCKyksBHF1abci+6dReOZzOykrBNFn2mDNXoKoZz6HnW6cQUU/lRUn2qxG/Cble6Tu2YJV8dzHAQ8fBU1kPFZtM8KAbVj1hoX95ARBEARBEBdPP5WVU6jY+S7K9PGYf5cXN9gBd2B+wkyUZReiouUsjptXQOsXgRQz90HB4J4nUyLgF5uF4v+bzuIeRpbK+ydwEqUZUfCLy5GcbHHfB5u5O23J1KRNWotXuOnJNU3oaY7SIjajoNPttTjFGYGkrFeREauV08Qhw1xNyhThAfcxslclS1xu9naaNfnUcF4GYmVZFM2eZnmquKUUGVot4nKqVbMY7rLMTTJm0TW8fL6nrHrQJX1sBvJcJh15upvX4W1VnWJXSz5J2q3ImhqFtCPAkbQoXBOWBetg8PFOXAU85Zr3o5tRLPquUTiDY+X53faRvcqu3M8+nvRvcppFyKk524sMM9pqUOyK53nmo/xY7w4HncfNSNHyseMf0hijXQHzcfV99Hfs/6M6X/f7rPt6tcGaNQ9RaWX8xkHUNWGIjWX3sHY1ShXngV3u9bOoyVnUmYb3E+YsJGnlvHlbKr54RHoZs2RTmDbpFbydEadKY6YlFoIKj8OuePP94EGHzSjooRMMllZ2UC+YkqcL0CwXTA3fCxbDQ6yMh1jcD4LQXCKkayBo0ksExbOBFKYR9MYqoUP4QUqvSRaMVSyF2seE6LuhQ2i1ZAs67vvBWCn5a1B8K+iyBUtrhyDYTUIiT+/yzyDniccEo+1HfgYxTOhNtjsaTEIyl8dkk9DQ0en3RJJPRRYThexyLnmKnw+NoDOUM9k7IZSkRwrQGwUbEzsRtSx3VAlGvUbQJOYKVVwuVX5CpPwvMFF9ktXxScFkZ3dWa7lg0KnTNwtVxmQm+/K940rPfXuYBBtPI5/jqkMf7lXCN+hRtmU51GUWCXYuF0ofqciJ0kcq/axL1uQ+slfZVeUh9rs/CvaDlYK9uTcZlu8ppW/u0r93gzym8Pv02DF+zyrjBUe5L1jd5HJdfoKU6+313lL70ulgzZfZ2RasFOlYVUelfdz6CaUtlX5E6Sf6MGYJxwRTYii7Br2QbqpSnaO+zuGBp1wPQFnppdFEwe10viQNAuzHSlwiNrj0o3F+FGzGx9gPmymUNPPcPATDTXGRkQVDEhQvAwRDUpYihfSSE3Jd3POQ4tXOoYjhQM+yLctid0qsN1l0k98L3XRq3eTHcZNltbJyzvu5bp2ikl6dRrkGWeEhZWXY0KNsy31gZ7/rgZc+UgrroY90k11Glzy6kX+1DHu7p8SwnpSVc0KDabmgUT/8ugZ5jrf7ghXreoBu7sO95eEM0K2eUpxGpxPuUcYtMV4eb3rtJ77vfcxSlBV1Gs/2HiZ4yvUAFtg6cOTU6c6pPA+crU1oxK2ImHiTeOw//mG8uDUetvztKNOlIWtZFALEmOsQFvMA9I5cbNxdw/I7BcveIjj0DyAm7Dq0f3sQJkc45t45odNW5T8Wk2Zope/Ok6g/ZAeKUhA+Qply88OI8BQUgdWh6UcpHUYjJPgGVx7+gcEIkb8ThEQ7Wk+dYH/HIDhwpBSkwqssYhRCJoVB46hFfWM7gqLuR4JmH3bsq+8iyxJ8+vdjmM1m9nkbGXNmI8Wr2/rzaKyvZXfZLqSEX++Sa78R08T0jsYmnJZTutd3JAKDx8jfCUJGcz8yjQ/CljYLgaJpczvM73vudHHvI7vSF9lV59G7DDd7u6eCbsesuaHygRfaK/Fe+jY45s7G3f778GpaNRKffhSRAR41D43GnZOV+07p879D5dHGftxbMkF3IC5Bi6IdX6K2vQGHi88j4T9+j38bXYS9lpNosXyGAugRFzUGzsZ6HHI42JA0DSOUvP2uR3jKLjZsnkJT6z/6OGYxQoIRqFyW/w0IDhktHwxfupdPb4yciJkLI3Gk+DDqvGorZ1G771MUae7GzNuVxj2Dxrp6aY2J7QiONncaz/2nzEdGuiwITV9jb4Ed+sX3IKwftWLaMJqlGSLVpxZ58bfKKQjicuDE6aZTklxzgmZiUepM77LsPI7S1fOgjdqC8iZ+49yMuNfNYE9L4qle0WSCPbl5yDX75MWjh7MIwoMgTE02wt5qQ4lpLeZhL1YsiIJ2zlqUdrNeyo2ByK7CpZbhkRH45abl0BSX4oAzBr81TEX+a7v7v/u0X/Uag6g4PTSVtTh68L+xo/I+xN0dzcZBwHSwAgf4Q0lEGCa4FKZIpJec6Jq38AbiNdKDBY1ZA6N/ygr74aIXPQ5dkRkffKVeGCvT9jU+KNgHTcL9iAoSe2m0Wf+MVWlHkWzMx4ZwM1Y8/yGOu2RLFoSizVi78jUUOGKwOGaSWKmRt8/EQo0NxYcbOmdxlNkUjjzL4ij4DBZl8RNBDIiRCBwzjv3lTz9dV6J6lUU+G8OUFWjCMClkFDsOxl3z46Ev2gPz/zGzp614PBk3WZRlZ+1ebNzwT9aJvYuNyY8iPv4RzNaega3S28yKMmPDn9xY/gRxKQiYgtnx8Xh0VR4abEboywqQd+B7ObJ7+ie7Cr3LsPf+/TSaGntaYDsK4xekYeuDX7BxZB9uXpyMZJsBq3fymXkVRypwuO6sfMDGIPtRHBNn+0MGcG/5I2BCGCIcO/FyxpsoEhWTseK4deb//ideUT2U+IdMwgyNFQV7v4Z6+bILGrMuin4qK+yHi0zB68ZbkB21WLXKWV7hvDwFaezfnud0TJ9ntFnwxioDbMlr8eLSx7EiKw3hOX/A84Xy7iCWX1D0AqTq/ont+YXu0+bKk+oaA3Kr+U/fgupcA9a4ph9lxcmRi3WvlEj1cO0eklajE0TfuA5hcb9AsmYX1mz8WFSmnY5irOa7I/hungBFFjdgSwXfNcDkvcKIl9bsgy51AaJFxZxJc9g9WKwvR2baNiAhHveP50oMCxc7MTsqPvtKktO2aphf2ohNXvt75Z6wY9O6bfLTLy9vG5K67DjqgZE3Y/K9oThzohm9768gfBVp50wEkjbvl/vqFtTs249KzMR907mC3jP9k12FPsiwZ//O++4tG1T9ezf4T8SCF9fiwU9ysOMfMeISg8o1W1HothtoHwqMH4u7Z5yOA3j71Rw2Bj2NX94V1Id76zpoJ4cDZ06h+Yx0p0n39RmUlSmKCbu+aVGY+2UZylQP2NKY9RAcmzbildLj4n3qdOzHZr7zR9wVSGPWRSGo8DjsgXOC3WISDHwVMztH/GgSBcOuz6WdCSLKymi+GOpcD2HKwkDPhUkM9Qpxvkgsfb2Qznc8uBYa8XrkS2FyPTSJBsFk4Ts2GN4WivW2eIzwSXqX7Q6h1fapSqa5vOULFrssp0wWLbnpgk6WM1HeTRZph4ULRZaVxXIKnTsopLz1QroxXypLXHjH4l0LbKXlsB32ciE3XS+n9yxPvSBXWT7rGcbyLHlBrq86HeFrcPnonq59JHTpQm6f+8jeZJfl0k2f2rMMiwlU95S3/r2/yPcAK2fDBvW4Ie+Yk+mtXh32IiFTbC/lmpT7WrUwV1n06rFY1v2a+Ge6kGgwdfYjvY1ZygJbtzbwFub78LZRMwi8LjvRUroGU+fUYr0tH8lTOhdGdcFZjZwHZ2PNjHdQvXG2NHtDEH3g6sg2QVx+SLYJX8RTrvtpBroMtFnw1rpcIH0ZHlUrKvLLd2JXF3dOXxbmo6BoJlIXzSRFhSAIgiCGCVdRWZHfwhk4C9m3PYvCZ2LcFZCgGDyzZyOiDyRBK27zuhHhr3VgqeVtpEZ6eXsuQRAEQRA+ySAwAxHE5Ydkm/BVSLYJX2TwmYEIgiAIgiB6gJQVgiAIgiAGNaSsEARBEAQxqCFlhSC84TwKc4rsxl3tIt4FdycfK8ZrM0rd31gpusxn54VlwSq+ELczrdtHm4Ss4hqXK36CIAjCO6SsEEQXnGgpexMrcr6RDkVnhR5+VJzcqZlN/Or5+ux2ex32s7+ahTNxu+gO5AccrfyOf3HHkY80vQ7zsipIYSGIS4xw9gS+PWyFteYkujrRIIYapKwQhCfOGuzemAuHJhmGDUtYQB1sDR7qRJu90z+Km6+Rdpw4Wosj0CAiXCt5GG//B+r2HwFCDbBcUByXnYO9fCsSNQ6UZReignyFEFcRp8OKD63clYSPcOFb7HwqDlNmzMVv3v1/aKXNUkMeUlYIwg0+q5KPNUWAfv3v8b+jJzK1w45D9SfdOnLJHTz7on8OhlSonJc1oarcwv5qMWPSWOkGO3EUlUxXwb2ToZUcrzJGQROdhN+m6jyUHYK4wrRbkf3TKDzzud1HlJUzOPKXDfjNn78C/jUV//lMDG7yk6OIIQspKwShRn6jskOzFBmPTkUQ97gKByptdpWpxom2hlpUsm+aGT/F4of0TFuRTUEuz+CTET5BnFeRzUIa6O/7CW4RQxRkp2lMwWls+lEKIgjiIhDQfuxDrF/5Z/yAWDz/n08i5qYRchwxlCFlhSBcnMfxonxkl/FZlUTogvxlr7OA41A9Gl2PnefRWF/LVBhu6rkV46PuRwJysXF3DZyKeUgThkkh3OvyWdQdrsAR9UyLi3a0NvEZlWCEBF8vBRHEJYabeMxZ3LOvsrhbi9iMAli51+F2K7KmRiHtCHAkLQrXKIvCnQ5Y8zIQq14MbrbKrk/kt4/zsLc702iTtuGv1lLJy7AYFocMc7Ws5DMFv2YvslxxPP1mFNfIS9O537e4MMRmVaBF9hSdYla88/cD4QT+609bkPtDAKZmPIuVMeNAkyq+ASkrBKHQdgjvvWaWZ1WmSDfH6BsxbjT7W1mLhjal6zyBb744yP6GY+6dE+AfdAfiErQo2vElauyyeSgiDBMCeA5taLDVsb+dMy0unPXYt2Mf++IljiAuBUwJyF06DysqZ6O0tUNeK/UsbitIxLw/7kPLyEisqrbAEMqXVFlwoXYVIkc2wZr9K0RlNmJ+uR0d/JzCaFSumIcl2arF4I5ifFQ7C2+2XkBrVS7mFq/A3VEbcSLpU3bOD7AYrsGmhc9jZ81ZoKUM63T/jo/GZ8PeIUBorcR65ED/9G7U8NvKfwoWvbwcSHsRbzXG4MWt9+GTFQYUHvdY2N4jAi58+yFe3fYlcNPjeOGpezGGNBWfgZQVghBRZlWYpuHYgDk3jpCeAK+RnjrhOIWm07KyoiyYZcrKZC13vjkGUXF6aIrM+POfP0URCwmdeycm87tLMQu5ZloUzsNRtgMFRaw8/QOICevB2zhBDBT/qUjea4c9LwlTReV5FDRRc3BfhAaOxiacllK503IQO7MPQr8+EyujNWyQ4OurUvDs+hiPxeAxSEj5OaYEjETAlFlinkh8Ek/PHs/OCcadsTqEMsX+VGs7cLoJjVyJH3MjAnk1AqYjOa8Swt5kTBFHIX8ERCbgufRGpK16F413P4HUcDNWPP8hjnc3vSKcRXPzWaaiyAgn8N85RrzfdivmvvBrzLuN7ilfgpQVguC07MOrK7aB96fesaHOzp4QOcqC2dAwTBzHV8z6I0iXiPX6g9i0aRePwL2Tb4a4llYxC7lmWjgtqCnehv944gWUIRLpGfPlDpsgLgdMMbZ+DLPZzD5vI2PObKRwJbkb2r89CJNDnjWUw7iSEzIpDBq3bfxjEBworxj3vwHBIaMRGjER46QQdzT3I9P4IGxpsxDoF4GkrO0wv6+YlRTG4meLfoHQsm149cAtePzp+XDkvIb3vvKysf/s31CQfA+CJ8TjhZIGcWuy8N3n+D98VkXzC/z+iTvBJ0QJ34G6SILAWdTsfgObHBrojVXoELcWK58LsJueZGm+Q+XRH8TUXd+jwvCfhJjFMfLBrYiYeJP4zbVrqCgF4aL3cP65EeH6VOQ7piPRmIvnZo8V0xLEJcd5HKWr50EbtQXlTVwzuBlxr5th1Guk+D7jxOmmUz0o870RhKnJRthbbSgxrcU87MWKBVHQzlmLUr52RuQk/mvnX3BEtxy/vft7vPvaB9AkP41f3uXFRHrteMz8aRRub/sEL/5mPd6rceDrwgK813YT7k59DD8dQ4tqfQ1SVgii5UsY1+xi2odqrYqLkRg3MQyhOIL9df9gT3DKglnVe1RErkNYzAPQi98V81DnriF3NNClv4VCSxH+nDxdlQdBXFqctXuxccM/kV7yLjYmP4r4+EcwW3um8x1BXhh5+0ws1NhQfLhBtcBVXgzexZzZTwKmYHZ8PB5dlYcGmxH6sgLkHfieRbB7xVqAdZtCYMh6HCEH3kG2LR5bX3wY472NUkzh/5+Jz+P15x9EwLdv4qmVT2Pd61+w/P8NKxfRrIpPwp4eXXgcEoTPQLJN+Co9ynZziZCu0Qi6zCLB3sGOW6sEU7pePAeJJsEuJjommBJDBU16idAsHv8gWAwPCdAkCtnldqFDOCfYy7cKiTwfQ7nQKlwQ7KYnWR5PCib7BfEMJY9Qg4XFSlywGIRQ6ASDpVXoaDAJyZrpQmL2PqkerKQqY7KgwWOC0fajIHRUCUZ9qJh/s5w22VTPyu4ZZ/NfBcPcW6XrYZ+blu0RvnfKkcSQxlOuaWaFIAjCVwmKwTOFz+K2XD203AwZuBLl4U/AkDgdKLagSlwsewvuTkpA+KY5uNFvGcyOAESmvg3LhhB8MEuLEX7XQrugAhFb92B7avSAZgL9xz+M9XvSEfLBY1I9/G7EtIKx2GDZgqVTrmMJ+ELgWny+KhpB4+NhtFfCGD+x16l/v6BoPGVIw1yxUjFYseRu3Ew7gHwSP66xyN9Fe7rqkCB8BpJtwlch2T6HkzVVOHr2XxAecSsCSFnxCTzlmpQVYlhAsk34KiTbhC/iKddkBiIIgiAIYlDTZWaFIAiCIAjiaqOeWSEzEDEsINkmfBWSbcIXITMQQRAEQRBDClJWCIIgCIIY1PRTWWmDNStWnJ7xi8uRvGW6cRY1OYuk+CTzRbya+QrjMCPJLwxJ5u/kgMGO7KJdfCcC94rhhSF3TQRBXBacDlg/9PTDc6Vxoq06D0la/o4VP2gzStEix1wdvoM5Kezixqm2b5CTFCGNd9rVKHU5eCQuBwOfWSn6FPtqZcduCi6X90MMTTzyhFrkxd8qBwx2RrIqvwFBeAPxGsU5DUEQhCfsATN7CaKe+Rz2qzqWHkfRhnXIjzDC1iHAvnE2guSYoQl7YCzaipT8aTDafoRgfxmzg8hQcTkZWOtq7oHunoPYsa9e5TuC+6H4Ejsq/weL66+TLIIg+o4TZ08ewWHrIdScPCeHEcQQICQYgT41pqs8TxOXlYGJzWg9lv/2AVTu+BK1Lm3lLGr3fYrKhAQsCVO7keLuyc3IUqbLxE8cMvIqOqclnQ5UbE6CVo7XJq3FKzy9OEUnmzy0Sch6OwOxSh6xq2Gu6ZxIdDqsMGd15uEXm4E8q6NTmWqrQbE6nudXXMOeOxhuJhNv04PqMO/10SZtw1+tpdjsuk52jeZqKX+v8HYpQEasVk7P3aabYRU9kJ7HcfMKVtcIpJiPStfgPApzCss7djOsbexcNzOQk13eXlUbs7Lf3Y9j/DwFPhVsznJNw3b5DYY1fTCr9ZfLZoYTcKFuF566ZwZmRKXi3aoW0SkKQXSFm+3nISqtDDiShqhrYpFlbZL7r39D0uNyfyGa9Hvrp6U+UJv0Ct7OiJPjtYjNMKOmTe5Euutj263ICrsNC/OPAPkLWTyvB+sZe+yTlH5WXc83ULLLW9372//zeuej/NgZObJ7nMfNSNE+zOr7D6lP1q6A+fgp1q5zoV34JkvxJhZqr0FY1l/xXbft2l0/zxD7CR72amca1m6b/2rFX11jokc7D1cEFR6HXmgVLAadgFCDYPknd5AlO6HiiI6o7hHSSyyiQyvFSVaHzSjoMV1INFays3mAXSjPThQ0iGRpT7AAxWlWsmCsalbFK462FKdZGkGXbhJsrR2sGuWCQacRoDcKNtE5l3SsScwVqni8y0nWQ4LB8gM7PiGUpEcK0L0glNjPqeLl+ttNQiJChUTTMRYnOeTqdPLFUYd51ueC0FqVKyRq+JihFzJLGoQO5ZqU/LvQIbRasgUdbxfZsVeHfZ+QnTid1TFbsPBr6KgXTMnsWLNcMDV8L+enXI+HIzHx+kNd7ePKy3VNHm3MyxfrrDgm8316l+0hwnmbkP/L29n13CT86/Nlwily2jbs6Vm2VX226GFQ1X/xe5/1twcPsl6t135a7gNZH5duqmJplD5MI+iNVeyolz62S7/aW5/krZ7HhAYvde/otf+Xy9JlCiabtzGmG+Q+WJNsEo4d484VlWvlePTBXuvbIDT31s+LYw+rh1K31krBKPbdLB/R+aRnOw8fPOV64MrKBS6c98gNKDeoJlMoaWY/cJfB3h1JgZEHUtkrqNsPISo+TBlxUw7UA/+Pgs34GAvjgnKOZZGpuilk5DwkT6LyjaIIiCcDUlZU5bnVV0LtcbQr8o2tKFsyUrsonQM7Fr2PMqFNXCIKq3QTc9Q3irfr75DDemhjpQ3F38z3bwHfUFZ+FI7+5UnhJt65/es64b9OtcvhxHBmYMqKR3/pBbd+WukD1X2WW7/XSx/r2a/22ied81JPb3VX+jqP61H3/97KEsN6UlbOMcVouaBRPyy6XZu6D1YrK+p69KGfF8cedd3UY5v4g7GsLYIhFG4erYcDnnJ9EdbDMYiKu082BZ1Cxc7dQOoCRHtbZMSn+943w2xmn5wMzAlPQZEc1f7tQZgc4Zh754ROm5T/WEyaoZUPFNS2wZEIDB4jfz+PxvpaOLALKeHXy1Nt7DNiGlKKHHA0NuE0xkOf+RwSbamIChwBbVIWdps/7pyKGxCq+vjfgOCQ0QiNmIhxUkjPtB/FQZMVoXPvxGRVc/mHTMIMjR2H6k+K05fcU+mLW+Nhy9+OMl0aspZFefF4egbfHjwAR2g07px8nRzmj6BpUZgrHzkb63HI4UBRyjSMUNrH73qEp+wCHKfQdHqYTy96MQM5HRXIc013czNfFsyuaWXvpkA302QXM1ALaoo3d055q82QfUQ4tR9/euFd/IB7kPHKrxFz0wg5hiD6i5e1Fj300y7Ua07kfk+if31s3/skb2tC1GG99//N3saYoNsxa26ofOCF9kq8l74Njrmzcbf/PryaVo3Epx9FZICX8c0NVd362M8Do1mz3iDXTR7bQsMwcZzndQ9vemv5HmADYtT9SKj8FPssf8XegvFImH9Hl8HU6SjG6jmRiPpjOZp4QPCDeN3yFvRi7CVEk4mS5g6uirl/8uKhYXUNmJqEPHszbCWF2DoP2LPiIURp52F16fFOu+bV5nQTGt320Z1BY129tHbGdgRHmy9mPUUkmCbftX1oR1FX2iqQvWQBMhvno9x+DkKHHYUzKrEi6lfItopSLMFk+6PaWXizlcldazkMyMXCp3d72dLP1yCthk6fg5Fb68GeBVG1fiSy9UuwrvSknKY3mFJamINt1W24aelKPPWzcSDnGMSl4uL76YH0sZewT+qx/x8AIyPwy03LoSkuxQFnDH5rmIr813bDeinWjXTp54m+cBHKCiPoDsQlHIcxYwMKIh5ATJjyZK9wFrWfvI0NtqUoeX8DkuPjER//M2ib/45KOcXI22diocaG4sMNnQLtPIn6Q3b5oDdGIWRSGDSOIuy1nJLDuiMIU2Y/gvhHVyGvoQpGfSU25JXjezm2W9r/gbr9R+SDS8DIiZi5MBJHig+jTiX7zlYmxNBixqSx7Idxos36Z6xKO4pkYz42hJux4vkPcbzLvTIat8+8G5ojFThc17mVXMpLQtLkrSjY+/VVfrfBUMCJlopCZJfFYP2zKYjWjGINqEH0ykys1x9E9s6DqjaMQULKzzGFP20F3IH5CTFAUQW++d5DqXTWYe+bZjj0v0PGgolczcfUZCPsggUbZ4+VE7kjnG1B89nOH1s4dQA5hg/QFrAALzzzAG4bSaoKcanovZ/uO33rYy9dn9R7/+99jDmNpsaeFtiOwvgFadj64Bes392HmxcnI9lmwOqdNd0oXl7oUz9P9JWLbCvJFPT3sr8jYvE9COuSmyJIVnxm4VPofNdKIV5al9u50yZoJhalzkTRGvZcWs3FtgXVuQasKeqr6sm6/ugFSNXZsWndNpTKu2kcFduQpNUiLqcaTnknDd+xUyHG83qU4wt2J+rv+wluEfNRuB7BIcFA8Uf4hNeH71R67VVkX0Jdhbdb9KLHoSvajJe27BdXvzsd+7Hlpc0o0j2ORdFj2NO9BW+sMsCWvBYvLn0cK7LSEJ7zBzxfKO8OcqFc/z6seWkHqpnm78pLTiG18UNwbNqIV+SnHJ5G3Lnk9eV+wxlvZjWGbJp0HKpHo6u91NPRatOkB6xjPHWEyXOftm0KOFvzLpLvGI8JP38ZJQ6+Nfk8viveLs6qaP73Mjxxx9B+QwVxJbkO2snhTKxPoflMdzd6H/rp3uhXH8u4ZH1SH/p/zzGG9+lbNvQ+xvhPxIIX1+LBT3Kw4x8xokm+cs1WFB73btrqSh/6eaLPXKSyIpuCNDFYHDPJS2YsXvc0CrNDkDtnAkb4jUDgk+UIX56KRM0RFJd/y1STYESmvo3ytHasmXYj/Pym4je2yUjQ9WPyLiAaqdsLkRv9JeZor2V5XAvtggpEbN2D3KVT4c+Fbr0RG0I+wCwxntVj2naEbGDn8Hg5G4mx0D3zJ+QmNCCF12eEHts6IvtXn17xR0Dkcmy3pCPkg8egHeGHEdplOBSxFpbtyxEZ0ALrGy8izRaPrS8+jPH+PP2/I8swETkrDF1vFvn6N4Rsx7TAESyvF9EYoYdOjobcxpbcGTgg/g6q8nKfwJSLlILhwY/sSUxlArps+OFabQR+eu/taPt8I36zejdqmr9B4av/F214AKlP/C+MoUkVos+MxC13L0RmeC7m3Dilm630femne6FffSznEvZJvfX/SlkbxqJA7NMjkdE4pU99uv/4eBjtH2JV5M0YH78VdvtWxI8fJcf2Rm/9PHW8/UJQ4XF49XDbyUMQF0/Pst3b7iqGm0x67gTgeISpd5gpuyY8dgV0j1O4YC8Sno+9leU3SXjgsfnCVFb/gF/+RThKW5UJDwZNv00QlxBPub76ql1LKTK0WsSuLpZfBtSCmsJ8FBTNROqimUP8lczE0ENtVjNKU9quaeMByqT/ZMQ9GQ9N0WZsFM145+EoXYtYP3maWk7WiR9Gambj95tSMTegHp/u+gDVmI4nlsTgVppVIQhiGHL1lZWgGDyzZyOiDySJ02R+fjci/LUOLLW8jdTIYDkRQVxBXGY1eUp7hBYLDkVg64BlchTGx7+MsqJktK+YhBF8mnrOl4jO7W6KnDMCQVHJMLy0QNphN/VRLPmZhnYAEQQxLPHj0yvyd6Yo+PF5F/mIIHyHISvb7SdRc/gozt4cjohbA0hZIbpA/Tbhi3jKNSkrxLCAZJvwVUi2CV/EU65pOTJBEARBEIMaUlYIgiAIghjUkLJCEARBDDG+gzkpDH5J5r6/uO4S4HRY8aHLRxhxJaE1K8SwgGSb8FVItq8Q7VZkTY3CG8ssqF4VCfKodnmhNSsEQRAEQQwpSFkhCILwWSRziTbpFbydESc+rfr5RSBpcymsf+X+c/gx+8Suhrmm86X63NxhzkqCVkzPP1rEZhTAKvre4Sj+d+R4bRJeeYWnXwazox1wmJHEy8l6FRmxWjmPOGSYq9Em58Bftmg1Z3XmwePzKuSXgzLaalCsrgMrI6u4Rj5fbQZqZ8UtY2nkskU8wrzVh+W3+a9W/HWzUga/RjNqvHlWlmdV0o4AR9KicE1YFqy8KH4NeRmIVdfRbO28hi6wdrMWqNqE18nsalfncTNSWHtoU8yy01rusX0Fq58ev894nP19GFlqz+84idKMqE5/SvwFlq7rYfkkrcUr3N+Sy1zGyzcji4eJaTx/V2/y4t4uzpocxIn1+IdUN+0KmPvsL+kiEFR4HBKEz0CyTfgqPcv2McGUGMrS6IV0U5XQKjQLVcZkQcPOge4FocR+ThBaywWDTuUOQnEtkZgrVLXygHOCvXyrkKiB7G6iQ2i1ZAs6TBcSjZUsz854d3cTvIxMwWTjTlN+ECyGh1i84sZCPtYkC8YqHs/yrMpleWgEnaGc5XlCKEmP7Kyjq97K+fJ1JZoEe5/dX6jq01opGBOns3hWXmaRYO9Qrkkj6I1VrDZeuGARDKEQQg0WljtHuYZEIbvczs5R2kG5Bk9U7Za9j5XJQuz7hGxeD122YJHbusG0nF3ndCHZVCc0y3US82suEdJdv4GMGKbU2aNNO+xCeXai9FuL7eT5uzGUdnCV7ykv3tpFLoef01wnmJKnC5pkk9DgtdEGjqdck7JCDAtItglfpU/KisovVYfNKOgVv1UirWzw0QkINQgWZaz3RPFvJQ56siLh5uvqR8FmfIzVRa0cuA/8buW6DbIKch6aTKGk+e9SvV2DqCcDUVbU5XnUl9NFGfHAM77Xa/Cst7d2U9olUkgvOSEH1IsKAHRLhESuRLrawDPvDnc/Zt7q0+vv5ll+V3lxz0NGLktnOCDYZQUo2VSvaoeLx1OuyQxEEATh64QEI1Du7f0DgxGCWxEx8SYpwCvcXPAxzGYz+7yNjDmzkVIk77tpP4qDJitC596Jya4RZBRCJoXB3Y/xaFbsDa61BlK5Es7GehxyOFCUMk30uCyZG65HeMouwHEKTae10Gc+h0RbKqICR0CblIXd5o9V5oqBoK7PSAQGjwFCwzBx3MCWyrZ/exAmRzjm3jlBtZ5CbgdHLeobPerqtd1Yu4RMwgyNHYfqT0q7jLgH6xfXItm2HfllM2HI+nfZQ/N1CIt5AHpHLjburmFpT8GytwgO/QOICbvOe338x2LSDK303XkS9YfsYI2OcNG1jfQZEZ6CIjShselHKR1HJS/wvwHBIaPlA5mgaCxKDUdZWi4OaBfg6cQfkZO+C18pVrjLgKrJCIIgiGGP8zhKV8+DNmoLypv48Hkz4l43gz1dS/GXjEiwp3n++OzxeQPxmlEImJqEPHszbCWF2DoP2LPiIURp52F16fFBvHXYidNNp/q3nfo0UxTcTnDiTONR1IlhR1F1tNl1vf5T5iMjXYuiHV+itulr7C2wQ7/4HoT1YyTXpJeguUub1yIv/lY5RR9oqcDObBt0hqW4216I1/KvR/Kmx3DXZdwiRcoKQRAE4cJZuxcbN/yTKRLvYmPyo4iPfwSztWdgq5RH1JETMXNhJI4UH0adS2s4j8b62j4P0tJsghUFe79G57JebwRhyuxHEP/oKuQ1VDGFqRIb8srxvRzbPWdhr7PJ3y8PI2+fiYUaG4oPN6iUp3a0MmUFmjBMChklh8l4bTfW3q1MWYEWMyaNlQbkNgveWGWALfl17NowETkrDCh0LWAdg6g4vejBfe3K11DgiMHimEnieV7ro8ymcORZFkfBZ7C0qCrQb5pgfSsbm8LTkPXrW3DgTzmsrmvx4oKJl1WhIGWFIAiCcKGYJSo++0ra1dJWDfNLG7HJpYmMQfSix6FjA+ZLud+gjQ2NbdU78NKaXXJ8HwiaiUWpD8GxaSNekWdKnI792Mx3qfCdLe1HYU6JgDZpGypE0w8ro6YcX1QC+vt+glvETBT8cUPwGGiwH+9/wncb8Z1KeXg1u0yOv0SMvBmT7w3FmRPNOMOPxWuYiaI1G7Clgr8ojpdrZO2wD7rUBYgO8hxeVe22Zb/Ytvyat7y0GUW6x7EoegxLwxSBN15Emi0eW19MxqMrnoch3IwVz38o7w7yR1D0AqTq/ont+YUuE5CIqz4G5FZzFbAF1bkGrFHMd0r5jlyse6VE+m1du4cWIafmrJSsF5w1ZqxOAwxZjyPks//Eik/uY3V9GOMvszZBygpBEATRSVAMnil8Frfl6qHlaxsCV6I8/AkYEqcDxRZUsXEwIHI5tpcvA9ZEINBvBAJ/8zUiEvRyBn0hGJGpb8OSOwMH5kwQ162M0C7DoYi1LOwJTBk5EQvWG7Eh5APM0l4LP17GtO0I2VCI3KVTPQYuNoDrnsae3J/jGFNwAv2uReS2VsT0qz594RbcnZSA8E1zcKO4JTpAuoYNIfhglpZdw7XQLqhAxNY92J4ajQD5rE78pXazpCPkg8fEtnVd8/bliGQntFn/jFVpR5G8NQ0Lxo9iDR2FZVlpCM/5A54vPCrNmATcgfkJMeyLxsMEJLVpeVo71ky7kbXZVPzGNhkJOsV8p5S/EdEHmILCf9sRWiw4FIGtli1YOkVWenrBf0oy9gofYlXkzRgfvxV2+1bE87peZugNtsSwgGSb8FUGh2yfRU1OIsLXhKGkej1md5lVIC4dTrSUrsHUObVYb8tHck9KhrMaOQ/OxpoZ76B642wEycFDAU+5JokiCIIg+oH8IrLYtSh1mWg+hrHgYDfmD+KS0mbBW+tygfRleFStqLSUIkOrRezqYvmldC2oKcxHQdFMpC6aOaQUFW+QVBEEQRD9YCx0z/wJudFfYo5iogl/E1i6vRvzB3FpkN/KGzgL2bc9i8JnYtwVEG6+26My8fjdiPDXOrDU8jZSI4PlREMXMgMRwwKSbcJXIdkmfBEyAxEEQRAEMaQgZYUgCIIgiEENKSsEQRDDBO5N+f0clZdgD6+/LvgukjjFM7DHx8NDM0FcCWjNCjEsINkmfJW+yTZ/cVsBls9einxvr5nVvYCS7ZmYrZHfl8F3lkydo3oRnAeaTNAWZeJy4inXJGkEQRA+jvN4IVaKisp0JBo+ha21QxwIOuz7kM1f9lb2Jta9ewhtSnrR0SAQarDgAkvH04qfjnqYkll6xwEc/FZ8jytBXBFIWSEIgvBpmvDVeznIcWigMxixbVUcpohefNkAoLkXK5/9HfRwoKz4G9jF93M40dZQi0qE4t7JN8PNNx33wDv2WvmAIK4cpKwQBEH4Mu1H8PkbHwGaeDz9yxld3oPiP/lOzA1lX46cQquorChOCW9FxMSbeIBMC2rM2Vi3yQro5iM2fLQcThCXH1JWCIIgfBhn3WEUH2Ff5s7G3d58uJxpxgk3i04bGmx17G8Z0qICxbUD0udGhC/cgDJNMoyvpyBSnp0hiCsBSRtBEIQP42w9Ba6rhEZMxDgpSIUTLZbPUOAANAtn4nZu83GeRP0huxTtgbiGxW5E8tSh/vJ2YqhBygpBEIQP4x84BqKVp/gw6kQzjwrZz4wDD3X6j2mzw1bJtJdEE+ziwtpmVBmTwX33Hvnov3C4zTMTgrj8kLJCEAThw/iH3YPFeqZqFG3GS1v2y07uuPPBvchanoK0Mgc0ycn45V2S/xjXTiDXTEwQpi59Hlv5LqAyA1bvrGFnE8SVhZQVgiAIX8Z/Mh7MeBI6fIP81BjZyR13PvgA0vK/gSYxF6VbFmC8OBq04/tvKlDkuRPIfyIWZEi7hooKPsFXNLtCXGFIWSEIgvBpRkEzOxPbLSYY+DtVFHTpMBZaYP1zEqa6Fsuehb3Oxv567gRig8WU+chIjwTK3sXOilNyKEFcGegNtsSwgGSb8FVItglfxFOuaWaFIAiCIIhBDSkrBEEQBEEMakhZIQiCIAhiUEPKCkEQBEEQgxpSVgiCIAiCGNSQskIQBEEQxKCGlBWCIAif5TuYk8Lgl2SGQw65OM7DYS2F1XFePvbkUpfnqwyGdjqP4+YV0IpOKqOQUXpSDu+k3ZqFMB6vXY3SFvWLAOX6+8Uiy9rGjttgzYoVtxu7fbRJyCquYbEXDykrBEEQRJ9ot76Kn0atw+f27pQVom/civi8Wgh58aLPpatCyz68umKbrCzZcaj+pIcbhbOoO1whOsGEowh7LaoXAbb/A3X7WYzmbsy8fTQL+AFHK7+T4tQ48pGm12FeVsVFKyykrBAEQRDEsOIsana/gU2O6Ug2vIAlTGWptNk9FIo2NNjq5O9WFOz9Gi3yEU4cRSXXYiLCMIG//VhRXkINsFzgzi/55xzs5VuRqHGgLLsQFW4zM/2HlBWCIIhhAzfjFCAjVitP1UcgKcusMuvIDg6TIlxT+dqkzSiuaRFNAlOj0tiTdhnSogIRlmVFu3xWF46V4o+uPOKQkVcBh9OJltLV0Po9jCxrk5yQcxKlGVHwi8tBTZfxTDI3aJNewdsZcXJ+rM6bS2H96zYkaaU6+sWuhpnVUcHpsMKclSSbOPhHi9iMAtV1snaoUJ2vTcIrr/D0y2B2sKtymJEkts2rqrZi12Gu7hzQnQ5YzVmdebiuU45nQ3tN8WZVPM9vL2pEv0pqM1A7K24Zi5fLFvEI81YfVufNf7Xir5uV6+TXaJbz74WWL2FcswvQ/w4Z//unmKBhRRyqR6P6VOdJ1B+ysy8LsMGwHCj4DBZR4WC/Y5UFxeybZsYkhHAtQlFe7p0Mrcuh1ChoopPw21Rd15mZAUDKCkEQxLCAKSLWbVgStQmN83fB3iGgw/4GZlT+AVFLtsHKB7mWMqzT/Ts+Gp8txgutlViPHOif3o26u1ah2mJAKHQwWFpRuyqy09GhJ2VfoPG+99AqPl3PR2PmAizNrUFA1P1I0HyE7J0HO5/SW77G3gI79IvvQVg3I5Ij/3PUztrC8mtGlTEaxalzEJV5EknWc6yO5TAgFwtZHUVlx1mN3KXzsKJyNkpbO+Qn/GdxW0Ei5v1xHytXbodZbwDrK6U6Fkaj6tV8j/Uj3yD/o0bMerOa5fEDLIZrsGnh89hZc5bFNcGa/StErajCfaXNLL4DrVVLxOtcks1NHlwxewU6/acY/04DOsT4VUD2v+PpAXutVtWH/S7GuQeRevc8ZJ54AtYOlr8lDdi0og/5s7q/lY1NjkikZ8zHlCAtwiOYtlJZiwa1otNmh62StYhmGqIXP4IEKArHeTTW17K20iAiXIsAFtJur8N+dqy/7ye4RTxZ4TpoJ4ezv01obPpRChogpKwQBEEMC06hYue7KGNP08+uvBca1vv7a+7Fymd/B73inPA0G1T4iD3mRgTy0SFgOpLzKiHsTcaU/owWvIyl09lAxp+uU/Ds+hgUvfwhvhp9D1LWPwaH+ind8hkKHDFYHDOp+wFJvxgpC6ay/IIwJeZeRDCVKfHpZMzWjGJ1/AliH2ID4pFTaOVZ+k9F8l477HmKg0ZWh6g5uI8NyI7GJpxWt4NbHR8Ti+qEDb4JiVgwJYh9D8Zd8+Ohx0F88c0JpmAdxM7sg9CvT8PSqTzeHwFTF4vXKZk82llTnmID+jWsKW9gsTw+CXl2O/YmTx3gwKuqT0AYYu6bxsLm4+mnY9lvyfK/82d4KNTBmuF0j8qK83gp/pT9EWvTp5CiG8uqPhaTZmiZRliL+sbOtUjOxnoc4rLATT3j70JcAtOFNn7AFELFPKTFjElj2bUoa1uUYzXtaGXtwNsvJPh6KWiADKzNCIIgiKFF+1EcNFkROvdOTFb1/P4hkzBDIy+w1NyPTOODsKXNQqBodtgO8/tWlWmjb7iXMRKBwWOYMlGLoydGIizmAegdudi4m88AnIJlbxEc+gcQE3adnN4LIcGS8sTwD2QDnxev0O5wc9fHMJvN7PM2MubMRkqRPG/itR1GIWRSmMdi19GsWK5oSEjlSkgDuQNFKdMwQjTB8M/1CE/ZxQb9U2g67Q+NfgWMiUeRFnWTtCtmtxnvWx0DnFXhqOsjt2loGCaO63Z+ywtN+Oq9HOQosypiZtfhxnGB7G8dbA2Kkasd339TgSL2TWqnMYiK00NT9Cn21Xwnm4cmI3wCn1dRlBflWIWzHvt27GNfvMT1E9dPRRAEQQxDlNkUkSBMTTbC3mpDiWkt5mEvViyIgnbOWpR2u125f/hPmY+MdC2KdnyJ2qbeTUD9xnkcpavnQRu1BeVNXDW4GXGvm2HUX+p9N2zALzkhLyZVf95AvIYpEOKs1GG02j6HaWscsOcPWBAViTmri/ut/F0qXLMqsGLTnHGykhWIqLQyFqY21ZyFvc7G/obi3sk3M9XIH0GiCW8fdvz5HZRwxS80GndOZgqmsrZFE4ZJIaOk00WYwli2AwU8bW/KaB8gZYUgCGI4MHIiZi6MxJHiw6hTDZbOVjZIeU7hB0zB7Ph4PLoqjz01G6EvK0Dege/lyN5xL6ONDXwNqlkA5Sl9M9aufK13E1A/cdbuxcYN/2SKxLvYmPwo4uMfwWztGWn9BcdrOyjrMPqGNBvlsUPGK/6sKXWsDkuwKu//g80Yg7INJhz4vtulyTKKsnApOYmyV19GTrcXeQT76/4hL5pWtiKrZrCCuAkvBkWbsrGdHyuLaZW1LcrOIBG+uHgb/uOJF1DGlTrXLM7AIWWFIAhiWDAG0Yseh44pCS9t2S8+3Tsd+7Hlpc0o0j2ORdFj2JO3GSlavttGihcHnX37UYmZuG/6OIzUTsa9aMWJZr7ItAeKdsBYyHfO8F037+LV7KNI3vQY7hItFuwpPXoBUnX/xPb8wt5NQP1EMWtVfPaVdA1t1TC/tBGbXIO0qh1yvxEXw7ZV78BLfHdMXwmaiUWpD8GxaSNeKT0umnZ4W27mO6DEXU3yC9f4jp0K2fTTVot9X1QB+mhMv0VtuvHHDcFjoMF+vP+J0mZ5rM34bMelw1nzATZusrLyjbDxxdPq2SC7CYkszZHKozjBE3d5jwrnOsmEJx+FRkzEOPbXtbalKAXhIxST2I0I16ci3zEdicZcPDd7rHjOxUDKCkEQxLCAPeVHLsd2SzpCPngMWjawjNAuw6GItbBsX45I9lTsP/5hrN/TGc8HnWkFY7HBsgVLpzCF4pZZSMr8F8mE0MPbVzWJ9+Cm9x9DoN+10M76ACFbd2FL/MTOASfgDsxPiGFfNJfWBMQJisEzhc/itly9dA2BK1Ee/gQMidOBYguqWljxvB3KlwFrIlgdRyDwN18jIkEZhvtCMCJT34YldwYOzJkgrltxtWXuE5jiPwrjFzyLPRtC8MEsrbSuJVCPgpB0OV7ORoQpb7qnsSf35ziWwutzLSK3tSKmX/XpjZMoM/4JRd3NcoybiIhQ9nd/HeztTAGpO4xi9XtUZPzD7sFi0ZymmIeYotdQy5RZTzTQpb+FQksR/pzMFzFfPH5MqxLk76JGpDokCJ+BZJvwVYambPOtvWswdU4t1tvykcwVoavKWdTkJCJ8TRhKqtdjdtCl1J6IgeAp1/SLEARBEFeWNgveWpcLpC/Do1dcUZFfQherLBrmL8L7GMaCg9ClLkA0KSqDEvpVCIIgiCuE/GbWwFnIvu1ZFD4TA/6WkivLWOie+RNyo7/EHO217Al+BALD3wSWbsf21OhLYrIgLj1kBiKGBSTbhK9Csk34ImQGIgiCIAhiSEHKCkEQBEEQgxpSVgiCIAiCGNSQskIQBEEQwwDh7Al8e9gKa81J+U21QwdSVgiCIIge+A7mpLAeXwJ38fRShsOMJL8wJJn5K+CJAXHhW+x8Kg5TZszFb979f2gdYmuySVkhCIIgeuBWxOfVQsiL9/BKTAwdzuDIXzbgN3/+CvjXVPznMzG4yU+OGiKQskIQBEEQPouA9mMfYv3KP+MHxOL5/3wSMTeNkOOGDqSsEARB+DJOByo2J0HrJzmZ0yatxSvc4Z7L5HIeDqsZWTxMTuPnF4eMvArZmaHaRCO/1E2bhKy3MxCrpI9dDXNNp/9hp8MKc1ZnmX6xGcizyg79OG01KHbFaxGbkY/yY2fkyO44g2P7/4gkrWee/NX9q1leDyPL2iSn5chvqhUdC8pBali7WPNU18CvyWyVrtl5FOYU1h7aFTAf52+5ZUGik0dW16z38X/FN+BuhrVNlXFLKTJYfFxOtXidLseGYv4RSHplLau7ypTFyzdndV6PW5v3rZ37hHAC//WnLcj9IQBTM57FyphxGGKTKiKkrBAEQfgsTbBm/wqzDCOxvqoZQocdhTPq8Gr+N3I8GzNr3sHSqD+g8r730CoIYpry7BAULH0Kfyw7KafywFGMj2pn4c3WDgit5TAgFwuf3i0pBW0VyF4yDysqZ6OUxwvNqEo4icyoXyFbVCZYnd5Ihf6j8dhq43WyYmNIDQrKelsR40DZe024r1S6jvL5jSzPlcitOY+gqPuRoPkI2TsPwjWUt3yNvQX2bhwlSu0SldmI+eV2dAjnYC+MRuWKeViSXYE2/4lY8OJaJGMbVjz/IY63sGt6YgVywtOQtewhzInTQ1P2LnZWnJLzYwqT5TMUOGKwOGYS/MU2eIy1yypUsTbosL+BGVW7ke+6RLn8FVXS9QgdaK1agsbMBVL5cqoe27lPCLjw7Yd4dduXwE2P44Wn7sWYoaipcAQVHocE4TOQbBO+So+y3VwipGs0gt5YJXTIQUJHlWDUawQkmgS7HORJh80o6BEqJJqOsaNjgikxVE5/QbCbnmRlPiYYbT9KiYUfBZvxMRb2pGCyn2NFZgoat3iGXKYmvURo9lYnMYyNrN3VyW4SEuH9OkINFlYruQ6aTKGkmafo8F4PBW916JLHOaHBtJzloRMSE3Xs+h4SDJYfpKTq6xEDTggl6ZEC9EbB1uG9bLc27bX8c7208wU5zAPnj0JT04+CUz4UnN8LJRn3sHNuFeZusQqn5eChgKdc08wKQRCEj9L+7UGYHOGYe+eEzml0/7GYNEMrH8hwk8T7ZpjN7JOTgTnhKSiSo7wzBsGBI+XvIxEYPEb+fh6N9bVwYBdSwq+XzRvsM2IaUooccDQ2odlbnYJux6y5ofJBd3hexw0IDhmNI5VHcQLXISzmAegdudi4uwZOnIJlbxEc+gcQE9bVUaLXdsEohEwKg8ZRi/pGbvoZhfEL0rA1+STy823QGZ7HsshgKan/JMQsjoFj0xvYXXPWYxbnDL49eACO0GjcObmzbP+QSZghr1B2NtbjkMOBopRpGKG0kd/1CE/ZBThOoem0MnXSXTt74ezfUJB8D4InxOOFkgZxa7Lw3ef4P3xWRfML/P6JOzFaSjkkIWWFIAhiGON0FGP1nEhE/bEc4oqP4AfxuuUt6MXYAaLJREkzNwEJ7p/LuKPIf8p8ZKRrUbTjS9Q29WQC6g4nTjedct86feZ71NX9k31xwFbVgGaX+eU6THl0GdI1+7BjXx2a1CYgOUXvRCK95ETXNhLeQLxGUVD6wbXjMfOnUbi97RO8+Jv1eK/Gga8LC/Be2024O/Ux/HTM0FtUq4aUFYIgCB9l5O0zsVBjQ/HhBnHRp4jzJOoP2eWDs6j95G1ssC1FyfsbkBwfj/j4n0Hb/HdUyin6hzI7UYS9FmU9hzve63QaTY29LbD1OKfNgbpjZxAaMRHjxIAxiOJrSYo2Y+3K13pUHrzWAe1oZcoKNGGYFDKKHfO1NS8izTYfxl3rEZ7zBzxfeLQzfdAdiEtgytGaZ7HSuEc1izMat8+8G5ojFThcd1ZKy5BmU6Tv0iyLFQV7v+5cY3Ox+N2I/5n4PF5//kEEfPsmnlr5NNa9/gUQ8G9YuWhoz6pwSFkhCILwVYJmYlHqTDagGpBbzYfFFlTnGrCmSJk/UJQLKz6zSDtr2moK8dK6XPcZhj7jj6DoBUjV2bFp3TaUOrg55TwcFduQpOyU8awT3620ZYOqTt3hQFFBPgr5bhh+ztvbkG2Lx6ZfRkCah1DK/ie25xd2awIScdVhA7ZU8OvmdTTipTX7oEtdgOggpgtZ/4xVaUeRvDUTSx9djizDROSsMKBQ3h3ElaPoRY9D5yhE/vZ/qmZxlHrsw5qXdqCa7xhq+wa5L23uNK2J5T8Ex6aNeKX0uKgAuXYPdbd7qS+MnIDZv/8D/jD3VrR9aoKpug03PfFviL2VK19DG1JWCIIgfJZgRKa+jfK0dqyZdiP8/KbiN7bJSNApxhg2sOqeRmF2CHLnTMAIvxEIfLIc4ctTkag5guLyb/v/5B8QjdTthciN/hJztNeyMq+FdkEFIrbuQe7SqaxEqU6WDWNRwOs0IhIZjVNUdeqO6UiMuxbv6/g5Wsz6YDy2lr2M+PGqgTjgDsxPiGFfNL2YgJQ6hOCDWVp23Z113J4ajYA2C95YZYAteS1eXDBRqvOy52EIN0u7g0Rlwh8Bdz2IBD2vt8csjtgGu5CGLEwLHAG/wN/DFqGHTo52lZ87AwfEdvfDCO0yHIpYy8KewJSLGJn9gqLxlCENcwP4UQxWLLkbNw/VHUAq/ARuJJPhi3xUhwThM5BsE75Kv2XbWY2cB2djzYx3UL1xNoLkYN+Av3NlDabOqcV6Wz6Sp3Qzs3LJ4O9yeQBzDj0F2yfJPSoZzpocPBj+J8wo+RQbZ4+VQy8X53CypgpHz/4LwiNuRcAQVFY85ZpmVgiCIHwV+UVlsauL5ZeNtaCmMB8FRTORumimjykqjDYL3lqXC6Qvw6OXXVFxos1agHWbWHEZ81WKivKSujislk08aKtGoXEHinSPY1F0Dzt6LhnXYuyUGYi8Y2gqKt4gZYUgCMJXCYrBM3s2IvpAErQj+PbYGxH+WgeWWt5GqrIN1yeQ3/gaOAvZtz2LwmdiLrMixt/qOwWBUTm4LXsLntGpZ0ok09oelYnHL3A2XsMTsGxfjsgAGnYHApmBiGEByTbhq5BsE76Ip1x3UVYIgiAIgiCuNt0qKwRBEARBEIMNMp4RBEEQBDGoIWWFIAiCIIhBDSkrBEEQBEEMYoD/H+VX+8Ow/HCxAAAAAElFTkSuQmCC\"/></p>\n<p><em><br/>Award <strong>[1]</strong> for all bonding types correct.</em></p>\n<p><em>Award <strong>[1]</strong> for <strong>each</strong> correct description.</em></p>\n<p><em>Apply ECF for M2 only once.</em></p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was not as well done as one might have expected with the most common errors being O instead of O<sub>2</sub> oxygen and MgO rather than MgO<sub>2</sub>.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students did not know what \"block\" meant, and often guessed group 2 etc.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students confused \"period\" and \"group\" and also many did not read metal, so aluminium was not chosen by the majority.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A number of students were not able to interpret the results and hence find the gain in mass and calculate the moles correctly.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only a handful could work out the correct answer. Most had no real idea and quite a lot of blank responses. There also seems to be significant confusion between \"percent uncertainty\" and \"percent error\".</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was not well answered, but definitely better than the previous question with quite a few gaining some credit for correctly determining the theoretical yield.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This proved to be a very difficult question to answer in the quantitative manner required, with hardly any correct responses.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Quite a few students realised that incomplete reaction would lead to this, but only 30% of students gave a correct answer rather than a non-specific guess, such as \"misread balance\" or \"impurities\".</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally very well done with almost all candidates being able to determine the correct coefficients.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About 40% of students managed to correctly determine both the oxidation states, as -3, with errors being about equally divided between the two compounds.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Probably only about 10% could explain why this was an acid-base reaction. Rather more made valid deductions about redox, based on their answer to the previous question.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates could answer the question about subatomic particles correctly.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Identification of isotopes was answered correctly by most students.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In spite of being given the meaning of \"isoelectronic\", many candidates talked about the differing number of electrons and only about 30% could correctly analyse the situation in terms of nuclear charge.</p>\n<div class=\"question_part_label\">e(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The question was marked quite leniently so that the majority of candidates gained at least one of the marks by mentioning a subatomic particle. A significant number read \"indivisible\" as \"invisible\" however.</p>\n<div class=\"question_part_label\">f.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the students gained full marks and probably a similar number gained no marks. Metallic bonding was the type that seemed least easily recognised and least easily described. Another common error was to explain ionic bonding in terms of attraction of ions rather than describing electron transfer.</p>\n<div class=\"question_part_label\">g.</div>\n</div>",
+    "topics": [
+      "empty-topic",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-2-the-nuclear-atom",
+      "structure-1-3-electron-configurations",
+      "structure-2-1-the-ionic-model",
+      "structure-2-2-the-covalent-model",
+      "structure-2-3-the-metallic-model",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>Magnesium is a reactive metal often found in alloys.</p>\n</div><div class=\"specification\">\n<p>Organomagnesium compounds can react with carbonyl compounds. One overall equation is:</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"specification\">\n<p>Compound B can also be prepared by reacting an alkene with water.</p>\n</div><div class=\"specification\">\n<p>Iodomethane is used to prepare CH<sub>3</sub>Mg<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math>. It can also be converted into methanol:</p>\n<p style=\"text-align: center;\">CH<sub>3</sub><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math> + HO<sup>–</sup> → CH<sub>3</sub>OH + <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>I</mtext></math><sup>–</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Magnesium can be produced by the electrolysis of molten magnesium chloride.</p>\n<p>Write the half-equation for the formation of magnesium.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest an experiment that shows that magnesium is more reactive than zinc, giving the observation that would confirm this.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the name of Compound A, applying International Union of Pure and Applied Chemistry (IUPAC) rules.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the strongest force between the molecules of Compound B.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the structural formula of the alkene required.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the structural formula of the repeating unit of the polymer formed from this alkene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce what would be observed when Compound B is warmed with acidified aqueous potassium dichromate (VI).</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the requirements for a collision between reactants to yield products.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The polarity of the carbon–halogen bond, C–X, facilitates attack by HO<sup>–</sup>.</p>\n<p>Outline, giving a reason, how the bond polarity changes going down group 17.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Mg<sup>2+</sup> + 2 e<sup>-</sup> → Mg ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize missing charge on electron.</em></p>\n<p><em>Accept equation with equilibrium arrows.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>Alternative 1</strong></em></p>\n<p>put Mg in Zn<sup>2+</sup>(aq) ✔</p>\n<p>Zn/«black» layer forms «on surface of Mg» ✔</p>\n<p><em><br/>Award <strong>[1 max]</strong> for “no reaction when Zn placed in Mg<sup>2+</sup>(aq)”.</em></p>\n<p> </p>\n<p><em><strong>Alternative 2</strong></em></p>\n<p>place both metals in acid ✔</p>\n<p>bubbles evolve more rapidly from Mg<br/><em><strong>OR</strong></em><br/>Mg dissolves faster ✔</p>\n<p> </p>\n<p><em><strong>Alternative 3</strong></em></p>\n<p>construct a cell with Mg and Zn electrodes ✔</p>\n<p>bulb lights up<br/><em><strong>OR</strong></em><br/>shows (+) voltage<br/><em><strong>OR</strong></em><br/>size/mass of Mg(s) decreases «over time»<br/><em><strong>OR</strong></em><br/>size/mass of Zn increases «over time»</p>\n<p><em><br/></em><em>Accept “electrons flow from Mg to Zn”. </em></p>\n<p><em>Accept Mg is negative electrode/anode </em><br/><em><strong>OR</strong> </em><br/><em>Zn is positive electrode/cathode</em></p>\n<p><em><br/>Accept other correct methods.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>propanone ✔</p>\n<p><em><br/>Accept 2-propanone and propan-2-one.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>hydrogen bonds ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Do <strong>not</strong> penalize missing brackets or n.</em></p>\n<p><em>Do <strong>not</strong> award mark if continuation bonds are not shown.</em></p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no change «in colour/appearance/solution» ✔</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«nucleophilic» substitution<br/><em><strong>OR</strong></em><br/>SN2 ✔</p>\n<p><em><br/>Accept “hydrolysis”.</em></p>\n<p><em>Accept SN1</em></p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy/E ≥ activation energy/E<sub>a</sub> ✔</p>\n<p>correct orientation «of reacting particles»<br/><em><strong>OR</strong></em><br/>correct geometry «of reacting particles» ✔</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases/less polar <em><strong>AND</strong> </em>electronegativity «of the halogen» decreases ✔</p>\n<p> </p>\n<p><em>Accept “decreases” <strong>AND</strong> a correct comparison of the electronegativity of two halogens.</em></p>\n<p><em>Accept “decreases” <strong>AND</strong> “attraction for valence electrons decreases”.</em></p>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Unfortunately, only 40% of the students could write this quite straightforward half equation.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates gained some credit by suggesting voltaic cell or a displacement reaction, but most could not gain the second mark and the reason was often a failure to be able to differentiate between \"what occurs\" and \"what is observed\".</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even though superfluous numbers (2-propanone, propan-2-one) were overlooked, only about half of the students could correctly name this simple molecule.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Probably just over half the students correctly identified hydrogen bonding, with dipole-dipole being the most common wrong answer, though a significant number identified an intramolecular bond.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Few candidates could correctly eliminate water to deduce the identity of the required reactant.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Correct answers to this were very scarce and even when candidates had an incorrect alkene for the previous part, they were unable to score an ECF mark, by deducing the formula of the polymer it would produce.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some students deduced that, as it was a tertiary alcohol, there would be no reaction, but almost all were lucky that this was accepted as well as the correct <em>observation</em> - \"it would remain orange\".</p>\n<div class=\"question_part_label\">e.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About a quarter of the students identified this as a substitution reaction, though quite a number then lost the mark by incorrectly stating it was either \"free radical\" or \"electrophilic\". A very common wrong answer was \"displacement\" or \"single displacement\" and this makes one wonder whether this terminology is being taught instead of substitution</p>\n<div class=\"question_part_label\">f(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well done with the vast majority of students correctly citing \"correct orientation\" and many only failed to gain the second mark through failing to equate the energy required to the activation energy.</p>\n<div class=\"question_part_label\">f(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question that was not well answered with probably only a quarter of candidates stating that the polarity would decrease because of decreasing electronegativity down the group.</p>\n<div class=\"question_part_label\">f(iii).</div>\n</div>",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the name of Compound B, applying International Union of Pure and Applied Chemistry (IUPAC) rules.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compound A and Compound B are both liquids at room temperature and pressure. Identify the strongest intermolecular force between molecules of Compound A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the structural formula of the alkene required.\n  </p>\n  <p style=\"text-align:left;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the structural formula of the repeating unit of the polymer formed from this alkene.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the requirements for a collision between reactants to yield products.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(iv))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The polarity of the carbon–halogen bond, C–X, facilitates attack by HO\n   <sup>\n    –\n   </sup>\n   .\n  </p>\n  <p>\n   Outline, giving a reason, how the bond polarity changes going down group 17.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  2-methylpropan-2-ol /2-methyl-2-propanol ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept methylpropan-2-ol/ methyl-2-propanol.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 2-methylpropanol.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  dipole-dipole ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept van der Waals’ forces.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(iii))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"183\" src=\"data:image/png;base64,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\" width=\"213\"/>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   penalize missing brackets or n.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   award mark if continuation bonds are not shown.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  energy/E ≥ activation energy/E\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n  correct orientation «of reacting particles»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  correct geometry «of reacting particles» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iv))\n </div><div class=\"card-body\">\n <p>\n  decreases/less polar\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  electronegativity «of the halogen» decreases ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “decreases”\n   <strong>\n    AND\n   </strong>\n   a correct comparison of the electronegativity of two halogens.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “decreases”\n   <strong>\n    AND\n   </strong>\n   “attraction for valence electrons decreases”.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Naming the organic compound using IUPAC rules was generally done well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  Good performance; some had a H and CH\n  <sub>\n   3\n  </sub>\n  group on each C atom across double bond instead of having two H atoms on one C and two CH\n  <sub>\n   3\n  </sub>\n  groups on the other.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(iii))\n </div><div class=\"card-body\">\n <p>\n  Mediocre performance; deducing structural formula of repeating unit of the polymer was challenging in which continuation bonds were sometimes missing, or structure included a double bond or one of the CH\n  <sub>\n   3\n  </sub>\n  group was missing.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  Good performance. For the requirements for a collision between reactants to yield products, some suggested necessary, sufficient or enough energy or even enough activation energy instead of energy/\n  <em>\n   E ≥\n  </em>\n  activation energy/\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  .\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iv))\n </div><div class=\"card-body\">\n <p>\n  Good performance on how the polarity of C-X bond changes going down group 17.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-1-the-periodic-table-classification-of-elements",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw arrows in the boxes to represent the electron configuration of a nitrogen atom.\n  </p>\n  <p style=\"text-align:left;\">\n   <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsoAAAD1CAYAAABJJdMRAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAs+SURBVHhe7d1taJ3lGcDxK6UoaOnmFxtKPFSklLTi+qEKE9FJtUhh4fiGoijVBplYK8XCrJtFOtfoVogriiLZLL6h+BY6KGiIiKgUlTKERSSUlbNYojDpQlJccclO4uNq1uvsQ9KjT9Lfrxx6Py+FcOC+nz+HO6ctE3UBAABMs6D4GwAA+A6hDAAACaEMAACJhnuUK5W2YgQAAPNbrTZUjI77v6Gc/QMAAJhPGnWvrRcAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQEMoAAJAQygAAkBDKAACQaJmoK8bTVCptUasNFUcAP5zJ9ajsyrheet9mxvsGp55G3SuUgdIr83rkZ5sZP9vMlPlng7ms0dyy9QIAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhlKayQG+3dHZ3tbVCqTr4uis7svBkfHi+sAQDMJZSil8Rh5e1d03NYXS7r6Y6A2FIc+6Iqlb2yKjq1747BWBoCmE8pQSp/FW8/1xti6jXF3dUUsqp9Z0Hp5bL3vhoh9L8ebB7/65jYAoGmEMpTSOVHt+ThqPdVoLc6cYLg3Oie3Y/z+oePbM676VTx7YDh84AwAsyeUYc74Mg70vRVjZ54Xy5acVpw7HG/+6W9xwTMfxaHaQPTd+I/YWb03nhn0iTMAzJZQhjlhPEYPvBAPP3ss1nd1xqWLv526Z8bKO34Rt1/YWp/Mi2PFrVvil6s/ikf27I+R4g4AYGaEMswB44f3xtabn4u2HU/HrmrlOxP39Gg7t3VqD/OUBWfEj88+PcY+PxJHi1MAwMwIZSi18Rgd7I0Hbt8eh67vioduXXU8igGAphLKUFojMdj7YFy3dmd8vv7J2PPg2mg9Ycb+K744cvT4L++NH40jX0SsvqQ9zi5OAQAzI5ShlI7F4d4HomPzSxFbHo9HN1+cRPKksfjLI93xzKcj9Ugejg8f+108Mnh53L7uXJMbAGbJsxTKaOT9eHzbq/UMHouB7qtj5dT/zPft64Lo7P17ceOZsbLjR/FudWVUlq2JWz/+STy29zdRXfrtt2IAADMllKGMFv8sfvvJUNRq2evj6KmeU9x4erT9dFP0FPd+0rM51i5fXFwDAGZDKAMAQEIoAwBAQijDXNVajZ5p2zAAgJNJKAMAQEIoAwBAQigDAEBCKAMAQEIoAwBAQigDAEBCKAMAQEIoAwBAQigDAEBCKAMAQKJloq4YT1OptEWtNlQcAfxwJtejsivjeul9mxnvG5x6GnWvUAYA4JTWqHttvQAAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgETLRF0xnqZSaYtabag4Aua7yTlfdtYkAJqhUfcKZWBKmee89QiAZmr0nLH1AgAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGUprJAb7d0dne1tUKpOvi6Kzuy8GR8eL6wBAMwllKKXxGHl7V3Tc1hdLuvpjoDYUhz7oiqVvbIqOrXvjsFYGgKYTylBKn8Vbz/XG2LqNcXd1RSyqn1nQenlsve+GiH0vx5sHv/rmNgCgaYQylNI5Ue35OGo91WgtzpzI1gwAaCahDHPGl3Gg760YO/O8WLZk4X+3Zix94oM4VKvFQN/dEU9tintfGQypDACzJ5RhThiP0QMvxMPPHov1XZ1x6eKIo0e+jLFYGGctPqM+kRfEohW3RM8nn8beDStMbAA4CTxPYQ4YP7w3tt78XLTteDp2VSv1ibswWq+4M3as+yy6q+dHpX1jdL/WG38+MOzTZAA4SYQylNp4jA72xgO3b49D13fFQ7eumvrFvimLVsWGnv0x0P9C7O66MmLfzrirelms394fw2oZAGZNKENpjcRg74Nx3dqd8fn6J2PPg2uj9YQZuyAWLb80qtUbY0vPO9G/Y00M7Hk99n/xdXEdAJgpoQyldCwO9z4QHZtfitjyeDy6+eL/ieTJ6/dEe/vG2P1hsd1i9GC89+5gxOo1sershVN3AQAzJ5ShjEbej8e3vRpj9T8D3VfHyqmvf/v2dUF09n4eSzu2xfP3t8a+a9fEssnzK6+JF5fcE71P3RTLzWwAmLWWibpiPM3kA7lWGyqOgPmuzHPeegRAMzV6zvjcCQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEkIZAAASQhkAABJCGQAAEi0TdcV4mkqlLWq1oeIImO8m53zZWZMAaIZG3SuUAQA4pTXqXlsvAAAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAgIZQBACAhlAEAICGUAQAg0TJRV4ynqVTaolYbKo6A+W5yzpedNQmAZmjUvUIZmFLmOW89AqCZGj1nbL0AAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFCGOWB8uD+2X/Xz6D4wWpwBAJpNKEPJjQ+/H4/9elvsGThWnAEAvg9CGUprJAb7d8cdV/0x/n3xlbGyOAsAfD+EMpTWP+OvLx+MS17qji3rL4y24uxx34R0Z3tbVCqTr4uis7svBkfHi+sAwGwIZSitc6L65B9iw4rFxfF3jcfI27ui47a+WPrEB3GoVouBvrsjntoU974yWL8KAMyWUIY5aTyOHvkyxmJhnLX4jPpEXhCLVtwSPZ98Gns3rDCxAeAk8DyFOWlhtF5xZ+xY91l0V8+PSvvG6H6tN/58YNinyQBwkghlmKsWrYoNPftjoP+F2N11ZcS+nXFX9bJYv70/htUyAMyaUIY5bUEsWn5pVKs3xpaed6J/x5oY2PN67P/i6+I6ADBTQhnmpGNxuPeeaG/fGLs/LLZbjB6M994djFi9JladvXDqLgBg5oQyzEmnxdKObfH8/a2x79o1sWzy6+FWXhMvLrknep+6KZab2QAway0TdcV4msnvZa3VhoojYL4r85y3HgHQTI2eMz53AgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCAhFAGAICEUAYAgIRQBgCARMtEXTGeplJpi1ptqDgC5rvJOV921iQAmqFR9wplAABOaY2619YLAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASAhlAABICGUAAEgIZQAASLRM1BXjaSqVtmIEAADzW602VIyOaxjKAABwKrP1AgAAEkIZAAASQhkAABJCGQAAThDxH1utwTVLpb+sAAAAAElFTkSuQmCC\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the relative lengths of the three bonds between N and O in nitric acid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  <em>\n   <br/>\n   Accept\n   <strong>\n    all\n   </strong>\n   2p electrons pointing downwards.\n  </em>\n </p>\n <p>\n  <em>\n   Accept half arrows instead of full arrows.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(iii))\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any three of:\n  </em>\n </p>\n <p>\n  two N-O same length/order ✔\n  <br/>\n  delocalization/resonance ✔\n </p>\n <p>\n  N-OH longer «than N-O»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  N-OH bond order 1\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  N-O bond order 1½ ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2 max]\n   </strong>\n   if bond strength, rather than bond length discussed.\n  </em>\n </p>\n <p>\n  <em>\n   Accept N-O between single and double bond\n   <strong>\n    AND\n   </strong>\n   N-OH single bond.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Drawing arrows in the boxes to represent the electron configuration of a nitrogen atom was done extremely well.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(iii))\n </div><div class=\"card-body\">\n <p>\n  Poorly done; some explained relative bond strengths between N and O in HNO\n  <sub>\n   3\n  </sub>\n  , not relative lengths; others included generic answers such as triple bond is shortest, double bond is longer, single longest.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-1-3-electron-configurations"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>Lithium reacts with water to form an alkaline solution.</p>\n</div><div class=\"specification\">\n<p>A 0.200 g piece of lithium was placed in 500.0 cm<sup>3</sup> of water.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the coefficients that balance the equation for the reaction of lithium with water.</p>\n<p style=\"text-align:left;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the molar concentration of the resulting solution of lithium hydroxide.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the volume of hydrogen gas produced, in cm<sup>3</sup>, if the temperature was 22.5 °C and the pressure was 103 kPa. Use sections 1 and 2 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest a reason why the volume of hydrogen gas collected was smaller than predicted.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The reaction of lithium with water is a redox reaction. Identify the oxidizing agent in the reaction giving a reason.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe two observations that indicate the reaction of lithium with water is exothermic.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>2 Li (s) + 2 H<sub>2</sub>O (l) → 2 LiOH (aq) + H<sub>2 </sub>(g) ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>n</mi><mrow><mi>L</mi><mi>i</mi></mrow></msub><mo>«</mo><mfrac><mrow><mn>0200</mn><mo> </mo><mi>g</mi></mrow><mrow><mn>6</mn><mo>.</mo><mn>94</mn><mo> </mo><mi>g</mi></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>0288</mn><mo>«</mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>»</mo></math>✔</p>\n<p>«n<sub>LiOH</sub> = n<sub>Li</sub>»</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfenced close=\"]\" open=\"[\"><mi>LiOH</mi></mfenced><mo> </mo><mo>«</mo><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0288</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>5000</mn><mo> </mo><mi>d</mi><msup><mi>m</mi><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>0576</mn><mo> </mo><mo>«</mo><mi>m</mi><mi>o</mi><mi>l</mi><mo> </mo><mi>d</mi><msup><mi>m</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></math> ✔</p>\n<p> </p>\n<p>Award <strong>[2]</strong> for correct final answer.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><msub><mi>n</mi><msub><mi>H</mi><mn>2</mn></msub></msub><mo>=</mo><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>0</mn><mo>.</mo><mn>0288</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>0144</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>»</mo></math></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mi>V</mi><mo>=</mo><mfrac><mrow><mi>n</mi><mi>R</mi><mi>T</mi></mrow><mi>P</mi></mfrac><mo>=</mo><mo>»</mo><mfenced><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0144</mn><mo> </mo><mi>m</mi><mi>o</mi><mi>l</mi><mo>×</mo><mn>8</mn><mo>.</mo><mn>31</mn><mo> </mo><mi>J</mi><msup><mi>K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mi>m</mi><mi>o</mi><msup><mi>l</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>×</mo><mfenced><mrow><mn>22</mn><mo>.</mo><mn>5</mn><mo>+</mo><mn>273</mn></mrow></mfenced><mi>K</mi></mrow><mrow><mn>103</mn><mo> </mo><mi>k</mi><mi>P</mi><mi>a</mi></mrow></mfrac></mfenced><mo> </mo><mo>«</mo><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>»</mo></math>✔</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi><mo>=</mo><mn>343</mn><mo> </mo><mo>«</mo><msup><mi>cm</mi><mn>3</mn></msup><mo>»</mo></math>✔</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>\n<p><em>Accept answers in the range 334 – 344 cm<sup>3</sup>.</em></p>\n<p><em>Award <strong>[1 max]</strong> for 0.343 «cm<sup>3</sup>/dm<sup>3</sup>/m<sup>3</sup>».</em></p>\n<p><em>Award<strong> [1 max]</strong> for 26.1 cm<sup>3</sup> obtained by using 22.5 K.</em></p>\n<p><em>Award<strong> [1 max]</strong> for 687 cm<sup>3</sup> obtained by using 0.0288 mol.</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>lithium was impure/«partially» oxidized</p>\n<p><em><strong>OR</strong></em></p>\n<p>gas leaked/ignited ✔</p>\n<p> </p>\n<p><em>Accept “gas dissolved”.</em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>H<sub>2</sub>O <em><strong>AND</strong> </em>hydrogen gains electrons «to form H<sub>2</sub>»</p>\n<p><em><strong>OR</strong></em></p>\n<p>H<sub>2</sub>O <em><strong>AND</strong> </em>H oxidation state changed from +1 to 0 ✔</p>\n<p> </p>\n<p><em>Accept “H<sub>2</sub>O <strong>AND</strong> H/H<sub>2</sub>O is reduced”.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two:</em></p>\n<p>temperature of the water increases ✔</p>\n<p>lithium melts ✔</p>\n<p>pop sound is heard ✔</p>\n<p> </p>\n<p><em>Accept “lithium/hydrogen catches fire”.</em></p>\n<p><em>Do not accept “smoke is observed”.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This part-question was better answered than part (ii). 50% of the candidates drew a correct arrow between n=2 and n=3. Both absorption and emission transitions were accepted since the question did not specify which type of spectrum was required. Some teachers commented on this in their feedback. Mistakes often included transitions between higher energy levels.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-4-counting-particles-by-mass-the-mole",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>Electrons are arranged in energy levels around the nucleus of an atom.</p>\n</div><div class=\"specification\">\n<p>The diagram represents possible electron energy levels in a hydrogen atom.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the first ionization energy of calcium is greater than that of potassium.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>All models have limitations. Suggest <strong>two</strong> limitations to this model of the electron energy levels.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw an arrow, labelled <strong>X</strong>, to represent the electron transition for the ionization of a hydrogen atom in the ground state.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw an arrow, labelled <strong>Z</strong>, to represent the lowest energy electron transition in the visible spectrum.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing number of protons/nuclear charge/Z<sub>eff</sub> ✔</p>\n<p><br/>«atomic» radius/size decreases<br/><strong><em>OR</em></strong><br/>same number of energy levels<br/><em><strong>OR</strong></em><br/>similar shielding «by inner electrons» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>Any two of:</em></p>\n<p>does not represent sub-levels/orbitals ✔</p>\n<p>only applies to atoms with one electron/hydrogen ✔</p>\n<p>does not explain why only certain energy levels are allowed ✔</p>\n<p>the atom is considered to be isolated ✔</p>\n<p>does not take into account the interactions between atoms/molecules/external fields ✔</p>\n<p>does not consider the number of electrons the energy level can fit ✔</p>\n<p>does not consider probability of finding electron at different positions/<em>OWTTE</em> ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “does not represent distance «from nucleus»”.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>upward arrow X <em><strong>AND</strong> </em>starting at n = 1 extending to n = ∞ ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>downward or upward arrow between n = 3 and n = 2 ✔</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>It was surprising that this question that appears regularly in IB chemistry papers was not better answered. Many candidates only obtained one of the two marks for identifying one factor (often the larger nuclear charge of calcium or that the number of shells was the same for Ca and K). However, a few candidates did write thorough answers reflecting a good understanding of the factors affecting ionization energy. This question had a strong correlation between candidates who scored well and those who had a high score overall. Some candidates did not score any marks by focusing on trends in the Periodic Table without offering an explanation, or by discussing the number of electrons in Ca and K instead of the number of protons.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 30% of the candidates drew the correct arrow on the diagram representing the ionization of hydrogen. A few candidates missed the mark by having the arrow pointing downwards. The most common incorrect answer was a transition between n=1 and n=2.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "topics": [
+      "empty-topic",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "structure-1-3-electron-configurations",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>Sulfur trioxide is produced from sulfur dioxide.</p>\n<p style=\"text-align: center;\">2SO<sub>2 </sub>(g) + O<sub>2 </sub>(g) <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>⇌</mo></math> 2SO<sub>3 </sub>(g)          Δ<em>H</em> = −196 kJ mol<sup>−1</sup></p>\n</div><div class=\"specification\">\n<p>The reaction between sulfur dioxide and oxygen can be carried out at different temperatures.</p>\n</div><div class=\"specification\">\n<p>Nitric acid, HNO<sub>3</sub>, is another strong Brønsted–Lowry acid. Its conjugate base is the nitrate ion, NO<sub>3</sub><sup>−</sup></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, giving a reason, the effect of a catalyst on a reaction.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T<sub>1</sub> <strong>and</strong> T<sub>2</sub>, where T<sub>2</sub> &gt; T<sub>1</sub>.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the effect of increasing temperature on the yield of SO<sub>3</sub>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the product formed from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the meaning of a strong Brønsted–Lowry acid.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the Lewis structure of NO<sub>3</sub><sup>−</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the electron domain geometry of NO<sub>3</sub><sup>−</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>increases rate <em><strong>AND</strong> </em>lower <em>E</em><sub>a</sub> ✔</p>\n<p>provides alternative pathway «with lower <em>E</em><sub>a</sub>»<br/><em><strong>OR</strong></em><br/>more/larger fraction of molecules have the «lower» <em>E</em><sub>a</sub> ✔</p>\n<p> </p>\n<p><em>Accept description of how catalyst lowers E<sub>a</sub> for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>both axes correctly labelled ✔</p>\n<p>peak of T<sub>2</sub> curve lower <em><strong>AND</strong> </em>to the right of T<sub>1</sub> curve ✔</p>\n<p>lines begin at origin <em><strong>AND</strong> </em>correct shape of curves <em><strong>AND</strong> </em>T<sub>2</sub> must finish above T<sub>1</sub> ✔</p>\n<p> </p>\n<p><em>Accept “probability «density» / number of particles / N / fraction” on y-axis.</em></p>\n<p><em>Accept “kinetic E/KE/E<sub>k</sub>” but not just “Energy/E” on x-axis.</em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decrease <em><strong>AND</strong> </em>equilibrium shifts left / favours reverse reaction ✔</p>\n<p>«forward reaction is» exothermic / ΔH is negative ✔</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>sulfuric acid/H<sub>2</sub>SO<sub>4</sub> ✔</p>\n<p> </p>\n<p><em>Accept “disulfuric acid/H<sub>2</sub>S<sub>2</sub>O<sub>7</sub>”.</em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>fully ionizes/dissociates ✔</p>\n<p>proton/H<sup>+</sup> «donor » ✔</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept the delocalised structure.</em></p>\n<p><em>Accept any combination of dots, crosses and lines.</em></p>\n<p><em>Coordinate/dative bond may be represented by an arrow.</em></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>three electron domains repel</p>\n<p><em><strong>OR</strong></em></p>\n<p>three electron domains as far away as possible ✔</p>\n<p> </p>\n<p>trigonal planar</p>\n<p><em><strong>OR</strong></em></p>\n<p>«all» angles are 120° ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A generally well-answered question. Most candidates explained the effect of a catalyst on a reaction correctly. A small proportion of candidates thought the catalyst increased the frequency of collisions. Some candidates focussed on the effect of the catalyst on an equilibrium since the equation above the question was that of a reversible reaction. These candidates usually still managed to gain at least the first marking point by stating that both forward and reverse reaction rates were increased due to the lower activation energy. Most candidates mentioned the alternative pathway for the second mark, and some gave a good discussion about the increase in the number of molecules or collisions with E≥E<sub>a</sub>. A few candidates lost one of the marks for not explicitly stating the effect of a catalyst (that it increases the rate of the reaction).</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The average mark scored for the Maxwell-Boltzmann distribution curves sketch was 1.5 out of 3 marks and the question had a strong correlation with the candidates who did well overall. The majority of candidates were familiar with the shapes of the curves. The most commonly lost mark was missing or incorrect labels on the axes. Sometimes candidates added the labels but did not specify “kinetic” energy for the x-axis. As for the curves, some candidates reversed the labels T<sub>1</sub> and T<sub>2</sub>, some made the two curves meet at high energy or even cross, and some did not have the correct relationship between the peaks of T<sub>1</sub> and T<sub>2</sub>.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Another question that showed a strong correlation with the candidates who did well overall. The average mark was 1 out of 2 marks. Many candidates explained the effect of an increase in temperature on the yield of SO<sub>3</sub> correctly and thoroughly. One of the common mistakes was to miss the fact that it was an equilibrium and reason that yield would not change due to an increase in the rate of reaction. Unfortunately, a number of candidates also deduced that yield would increase due to the increase in rate. Other candidates recognized that it was an exothermic reaction but deduced the equilibrium would shift to the right giving a higher yield of SO<sub>3</sub>.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A very well answered question. 70% of the candidates stated H2SO4 as the product from the reaction of SO<sub>3</sub> with water.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>While a straightforward question, many candidates only answered part of the question - either focussing on the “strong” or on the “Brønsted-Lowry acid”. The average mark on this question was 1.2 out of 2 marks.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Only 20% of the candidates scored the mark for the Lewis structure of NO<sub>3</sub><sup>-</sup>. Mistakes included: missing charge, missing lone pairs, 3 single bonds, 2 double bonds.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates deduced the correct electron domain geometry scoring the first mark including cases of ECF. Only a small number of candidates satisfied the requirements of the markscheme for the explanation.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p>Carbon forms many compounds.</p>\n</div><div class=\"specification\">\n<p>C<sub>60</sub> and diamond are allotropes of carbon.</p>\n</div><div class=\"specification\">\n<p>But-2-ene reacts with hydrogen bromide.</p>\n</div><div class=\"specification\">\n<p>Chlorine reacts with methane.</p>\n<p style=\"text-align: center;\">CH<sub>4</sub> (g) + Cl<sub>2 </sub>(g) → CH<sub>3</sub>Cl (g) + HCl (g)</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> difference between the bonding of carbon atoms in C<sub>60</sub> and diamond.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State two features showing that propane and butane are members of the same homologous series.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw the full structural formula of but-2-ene.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write the equation for the reaction between but-2-ene and hydrogen bromide.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the type of reaction.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>two</strong> differences in the <sup>1</sup>H NMR of but-2-ene and the organic product from (d)(ii).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the enthalpy change of the reaction, Δ<em>H</em>, using section 11 of the data booklet.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw and label an enthalpy level diagram for this reaction.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>C<sub>60</sub> fullerene: «each carbon is» bonded to 3 C <em><strong>AND</strong> </em>diamond: bonded to 4 C<br/><em><strong>OR</strong></em><br/>C<sub>60</sub> fullerene: delocalized/resonance <em><strong>AND</strong> </em>diamond: not delocalized/no resonance<br/><em><strong>OR</strong></em><br/>C<sub>60</sub> fullerene: single and double bonds <em><strong>AND</strong> </em>diamond: single bonds ✔</p>\n<p> </p>\n<p><em>Accept “C<sub>60</sub> fullerene: sp<sup>2</sup> <strong>AND</strong> diamond: sp<sup>3</sup>”.</em></p>\n<p><em>Accept “C<sub>60</sub> fullerene: trigonal planar geometry / bond angles between 109.5°/109°/108°–120° <strong>AND</strong> diamond:  tetrahedral geometry / bond angle 109.5°/109°”.</em></p>\n<p><em>Accept \"bonds in fullerene are shorter/stronger/have higher bond order\".</em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>same general formula / C<sub>n</sub>H<sub>2n+2</sub> ✔</p>\n<p>differ by CH<sub>2</sub>/common structural unit ✔</p>\n<p> </p>\n<p><em>Accept \"similar chemical properties\".</em></p>\n<p><em>Accept “gradation/gradual change in physical properties”.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong>ALTERNATIVE 1:</strong></p>\n<p><em>Test:</em></p>\n<p>add bromine «water»/Br<sub>2</sub> (aq) ✔</p>\n<p><em>Result:</em></p>\n<p>«orange/brown/yellow» to colourless/decolourised ✔</p>\n<p> </p>\n<p><em>Do <strong>not</strong> accept “clear” for M2.</em></p>\n<p> </p>\n<p><strong>ALTERNATIVE 2:</strong></p>\n<p><em>Test:</em></p>\n<p>add «acidified» KMnO<sub>4</sub> ✔</p>\n<p><em>Result:</em></p>\n<p>«purple» to colourless/decolourised/brown ✔</p>\n<p> </p>\n<p><em>Accept “colour change” for M2.</em></p>\n<p> </p>\n<p><strong>ALTERNATIVE 3:</strong></p>\n<p><em>Test:</em></p>\n<p>add iodine /<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mtext>I</mtext><mn>2</mn></msub></math> ✔</p>\n<p><em>Result:</em></p>\n<p>«brown» to colourless/decolourised ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p> </p>\n<p><em>Accept</em></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>CH<sub>3</sub>CH=CHCH<sub>3</sub> (g) + HBr (g) → CH<sub>3</sub>CH<sub>2</sub>CHBrCH<sub>3</sub> (l)</p>\n<p><em><strong>OR</strong></em></p>\n<p>C<sub>4</sub>H<sub>8</sub> (g) + HBr (g) → C<sub>4</sub>H<sub>9</sub>Br (l) ✔</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«electrophilic» addition/E<sub>A</sub> ✔</p>\n<p><em><br/>Do <strong>not</strong> accept nucleophilic or free radical addition.</em></p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1:</strong> Any two of:</em></p>\n<p>but-2-ene: 2 signals <em><strong>AND</strong> </em>product: 4 signals ✔</p>\n<p>but-2-ene: «area ratio» 3:1/6:2 <em><strong>AND</strong> </em>product: «area ratio» 3:3:2:1 ✔</p>\n<p>product: «has signal at» 3.5-4.4 ppm «and but-2-ene: does not» ✔</p>\n<p>but-2-ene: «has signal at» 4.5-6.0 ppm «and product: does not» ✔</p>\n<p> </p>\n<p><strong>ALTERNATIVE 2:</strong></p>\n<p>but-2-ene: doublet <em><strong>AND</strong> </em>quartet/multiplet/4 ✔</p>\n<p>product: doublet <em><strong>AND</strong> </em>triplet <em><strong>AND</strong> </em>quintet/5/multiplet <em><strong>AND</strong> </em>sextet/6/multiplet ✔</p>\n<p> </p>\n<p><em>Accept “product «has signal at» 1.3–1.4 ppm «and but-2-ene: does not»”.</em></p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>bond breaking: C–H + Cl–Cl / 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>»/656 «kJ»<br/><em><strong>OR</strong></em><br/>bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol<sup>–1</sup>» + 242 «kJ mol<sup>–1</sup>» / 1898 «kJ» ✔</p>\n<p><br/>bond forming: «C–Cl + H–Cl / 324 kJ mol<sup>–1</sup> + 431 kJ mol<sup>–1</sup>» / 755 «kJ»<br/><em><strong>OR</strong></em><br/>bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol<sup>–1</sup>» + 324 «kJ mol<sup>–1</sup>» + 431 kJ mol<sup>–1</sup>» / 1997 «kJ» ✔</p>\n<p><br/>«ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔</p>\n<p><em><br/>Award <strong>[3]</strong> for correct final answer.</em></p>\n<p><em>Award <strong>[2 max]</strong> for 99 «kJ».</em></p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p>reactants at higher enthalpy than products ✔</p>\n<p><br/>ΔH/-99 «kJ» labelled on arrow from reactants to products<br/><em><strong>OR</strong></em><br/>activation energy/<em>E</em><sub>a</sub> labelled on arrow from reactant to top of energy profile ✔</p>\n<p> </p>\n<p><em>Accept a double headed arrow between reactants and products labelled as ΔH for M2.</em></p>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a challenging question that asked about the difference between the bonding of carbon atoms in C<sub>60</sub> and diamond. 20% of the candidates gained the mark. The majority of the candidates did not have a specific enough answer for C<sub>60</sub> and mentioned the pentagons and hexagons but not the number of bonds or the geometry or the bond order or the electron delocalisation. Diamond was better known to candidates as expected.</p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About two-thirds of the candidates scored one of the two marks and stronger candidates scored both. The most common answers were the same general formula/C<sub>n</sub>H<sub>2n+2</sub>, the difference between the compounds was CH<sub>2</sub> and similar chemical properties. The same functional group was not accepted since alkanes do not have a functional group. Some candidates only stated that they are saturated hydrocarbons not gaining any marks.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>About half of the candidates gave the bromine water test with the correct results. Iodine and KMnO4 were rarely seen in the scripts. There were candidates who used the term “clear” to mean “colourless” which was not accepted. Some candidates referred to the presence of UV light in a correct way and others in an incorrect way which was not penalized in this case. 10% of the candidates left the question blank. The most common incorrect answer was in terms of the IR absorptions. Other candidates referred to enthalpies of combustion and formation.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A well answered question. 70% of the candidates gave the correct structural formula for but-2-ene. Mistakes included too many hydrogens in the structure and an incorrect position of the C=C. Candidates should be reminded that the full structural formula requires all covalent bonds to be shown.</p>\n<div class=\"question_part_label\">d(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Half of the candidates wrote the correct equation for the reaction of but-2-ene with hydrogen bromide. Incorrect answers included hydrogen as a product. As expected, the question correlated well with highly achieving candidates.</p>\n<div class=\"question_part_label\">d(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered. 60% of candidates identified the type of reaction between but-2-ene and HBr, some of them including the term “electrophilic”. ECF was generously awarded when substitution was stated based on the equation where H<sub>2</sub> was produced in part (ii). Candidates lost the mark if they only stated “hydrobromination” without mentioning addition. Some candidates lost the mark for stating “nucleophilic” or “free radical” addition.</p>\n<div class=\"question_part_label\">d(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The comparison of the <sup>1</sup>H NMR spectra of the two organic compounds was more challenging and 10% of the candidates left this question blank. The average mark was 0.7 out of 2 marks. Mistakes included non-specific answers that just stated “more signals” or “higher chemical shift”, and stating 3 signals in 2-bromobutane instead of 4 signals. Standard level candidates were expected to use the number of signals and the ratio of the areas under the signals to answer the question since they do not cover chemical shift, however, many of them did use the <sup>1</sup>H NMR section in the data booklet to obtain correct answers in terms of chemical shift.</p>\n<div class=\"question_part_label\">d(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was the best answered question on the paper. Candidates identified the bonds and used bond enthalpies to calculate the enthalpy of reaction accurately. The most common mistakes were reversing the signs of bonds broken and bonds formed, assuming two Cl-Cl bonds were broken and using an incorrect value of bond enthalpy for one of the bonds.</p>\n<div class=\"question_part_label\">e(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates drew the enthalpy level diagram and labelled it correctly based on their answer to part (i). Some candidates reversed the products and reactants. A few candidates did not add any labels which prevented the awarding of the second mark. With 2 marks allocated to the question the second mark was awarded for correct labeling of either ΔH or E<sub>a</sub>.</p>\n<div class=\"question_part_label\">e(ii).</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far"
+    ],
+    "subtopics": [
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>Molten zinc chloride undergoes electrolysis in an electrolytic cell at 450 °C.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the half-equations for the reaction at each electrode.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the overall cell reaction including state symbols. Use section 7 of the data booklet.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Cathode (negative electrode):</p>\n<p>Zn<sup>2+</sup> + 2e<sup>−</sup> → Zn (l) ✔</p>\n<p> </p>\n<p>Anode (positive electrode):</p>\n<p>2Cl<sup>−</sup> → Cl<sub>2</sub> (g) + 2e<sup>−</sup></p>\n<p><em><strong>OR</strong></em></p>\n<p>Cl<sup>−</sup> → ½ Cl<sub>2</sub> (g) + e<sup>−</sup> ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>ZnCl<sub>2</sub> (l) → Zn (l) + Cl<sub>2</sub> (g)</p>\n<p><br/>balanced equation ✔<br/>correct state symbols ✔</p>\n<p> </p>\n<p><em>Accept ionic equation.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The half-equations were often incorrect. The average mark was 0.8 out of 2, and the correlation to high scoring candidates was strong as expected. Many candidates started the half-equations with the elements and gave the ions as products. We also saw some scripts with Cl instead of Cl2 as the product. Some of the candidates thought the zinc ion was Zn<sup>+</sup> instead of Zn<sup>2+</sup>. Some candidates reversed the anode and cathode equations earning only 1 of the 2 marks.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The performance was weak on this part-question as well. The overall equations did not balance atoms or charges on many of the incorrect answers. For the state symbols, many candidates used the aqueous state symbol, some gave the chloride ion a gaseous state symbol, and some candidates still had a solid zinc product even though they were directed to use the melting point of zinc in the data booklet. 12% of the candidates did not answer the question and the average mark was 0.5 out of 2 marks.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-3-2-electron-transfer-reactions",
+      "structure-1-3-electron-configurations",
+      "structure-2-3-the-metallic-model",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, giving a reason, the effect of a catalyst on a reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   On the axes, sketch Maxwell–Boltzmann energy distribution curves for the reacting species at two temperatures T\n   <sub>\n    1\n   </sub>\n   <strong>\n    and\n   </strong>\n   T\n   <sub>\n    2\n   </sub>\n   , where T\n   <sub>\n    2\n   </sub>\n   &gt; T\n   <sub>\n    1\n   </sub>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the effect of increasing temperature on the yield of SO\n   <sub>\n    3\n   </sub>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the product formed from the reaction of SO\n   <sub>\n    3\n   </sub>\n   with water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the meaning of a strong Brønsted–Lowry acid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  increases rate\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  lower\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n  provides alternative pathway «with lower\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  »\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  more/larger fraction of molecules have the «lower»\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept description of how catalyst lowers E\n   <sub>\n    a\n   </sub>\n   for M2 (e.g. “reactants adsorb on surface «of catalyst»”, “reactant bonds weaken «when adsorbed»”, “helps favorable orientation of molecules”).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <img height=\"243\" src=\"data:image/png;base64,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\" width=\"344\"/>\n </p>\n <p>\n  both axes correctly labelled ✔\n </p>\n <p>\n  peak of T\n  <sub>\n   2\n  </sub>\n  curve lower\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  to the right of T\n  <sub>\n   1\n  </sub>\n  curve ✔\n </p>\n <p>\n  lines begin at origin\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  correct shape of curves\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  T\n  <sub>\n   2\n  </sub>\n  must finish above T\n  <sub>\n   1\n  </sub>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “probability «density» / number of particles / N / fraction” on y-axis.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “kinetic E/KE/E\n   <sub>\n    k\n   </sub>\n   ” but not just “Energy/E” on x-axis.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  decrease\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  equilibrium shifts left / favours reverse reaction ✔\n </p>\n <p>\n  «forward reaction is» exothermic / ΔH is negative ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  sulfuric acid/H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept “disulfuric acid/H\n   <sub>\n    2\n   </sub>\n   S\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    7\n   </sub>\n   ”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  fully ionizes/dissociates ✔\n </p>\n <p>\n  proton/H\n  <sup>\n   +\n  </sup>\n  «donor »✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Overall well answered though some answers were directed to explain the specific example rather than the simple and standard definition of the effect of a catalyst.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  Few got the 3 marks for this standard question (average mark 1.7), the most common error being incomplete/incorrect labelling of axes, curves beginning above 0 on y-axis or inverted curves.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  Many candidates got one mark at least, sometimes failing to state the effect on the production of SO\n  <sub>\n   3\n  </sub>\n  though they knew this quite obviously. This failure to read the question properly also resulted in an incorrect prediction based exclusively on kinetics instead of using the information provided to guide their answers.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(i))\n </div><div class=\"card-body\">\n <p>\n  6(d)(i)-(ii): These simple questions could be expected to be answered by all HL candidates. However 20% of the candidates suggested hydroxides or hydrogen as products of an aqueous dissolution of sulphur oxide. In the case of the definition of a strong Brønsted-Lowry acid, only 50% got both marks, often failing to define \"strong\" but in other cases defining them as bases even.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-1-proton-transfer-reactions",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    two\n   </strong>\n   differences between the bonding of carbon atoms in C\n   <sub>\n    60\n   </sub>\n   and diamond.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why C\n   <sub>\n    60\n   </sub>\n   and diamond sublime at different temperatures and pressures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State two features showing that propane and butane are members of the same homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe a test and the expected result to indicate the presence of carbon–carbon double bonds.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Write the equation for the reaction between but-2-ene and hydrogen bromide.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the type of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the enthalpy change of the reaction, Δ\n   <em>\n    H\n   </em>\n   , using section 11 of the data booklet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw and label an enthalpy level diagram for this reaction.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  Any\n  <strong>\n   two\n  </strong>\n  of:\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: bonded to 3 C\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: bonded to 4 C ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: delocalized/resonance\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: not delocalized / no resonance ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene:\n  <em>\n   sp\n   <sup>\n    2\n   </sup>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond:\n  <em>\n   sp\n   <sup>\n    3\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  fullerene: bond angles between 109–120°\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  diamond: 109° ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept \"bonds in fullerene are shorter/stronger/have higher bond order\n   <strong>\n    OR\n   </strong>\n   bonds in diamond longer/weaker/have lower bond order\".\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  diamond giant/network covalent\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  sublimes at higher temperature ✔\n </p>\n <p>\n  C\n  <sub>\n   60\n  </sub>\n  molecular/London/dispersion/intermolecular «forces» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “diamond has strong covalent bonds\n   <strong>\n    AND\n   </strong>\n   require more energy to break «than intermolecular forces»” for M1.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  same general formula / C\n  <sub>\n   n\n  </sub>\n  H\n  <sub>\n   2n+2\n  </sub>\n  ✔\n </p>\n <p>\n  differ by CH\n  <sub>\n   2\n  </sub>\n  /common structural unit ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept \"similar chemical properties\".\n  </em>\n </p>\n <p>\n  <em>\n   Accept “gradation/gradual change in physical properties”.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   ALTERNATIVE 1:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add bromine «water»/Br\n  <sub>\n   2\n  </sub>\n  (aq) ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «orange/brown/yellow» to colourless/decolourised ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Do not accept “clear” for M2.\n  </em>\n </p>\n <p>\n  <strong>\n   <br/>\n   ALTERNATIVE 2:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add «acidified» KMnO\n  <sub>\n   4\n  </sub>\n  ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «purple» to colourless/decolourised/brown ✔\n </p>\n <p>\n  <em>\n   <br/>\n   Accept “colour change” for M2.\n  </em>\n </p>\n <p>\n  <strong>\n   <br/>\n   ALTERNATIVE 3:\n  </strong>\n </p>\n <p>\n  <em>\n   Test:\n  </em>\n </p>\n <p>\n  add iodine /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     I\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msub>\n  </math>\n  ✔\n </p>\n <p>\n  <em>\n   Result:\n  </em>\n </p>\n <p>\n  «brown» to colourless/decolourised ✔\n  <br/>\n  <br/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  CH\n  <sub>\n   3\n  </sub>\n  CH=CHCH\n  <sub>\n   3\n  </sub>\n  + HBr (g) → CH\n  <sub>\n   3\n  </sub>\n  CH\n  <sub>\n   2\n  </sub>\n  CHBrCH\n  <sub>\n   3\n  </sub>\n </p>\n <p>\n  Correct reactants ✔\n </p>\n <p>\n  Correct products  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept molecular formulas for both reactants and product\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iii))\n </div><div class=\"card-body\">\n <p>\n  «electrophilic» addition/EA ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept nucleophilic or free radical addition.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(i))\n </div><div class=\"card-body\">\n <p>\n  bond breaking: C–H + Cl–Cl / 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 242 «kJ mol\n  <sup>\n   –1\n  </sup>\n  »/656 «kJ»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  bond breaking: 4C–H + Cl–Cl / 4 × 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 242 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 1898 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  bond forming: «C–Cl + H–Cl / 324 kJ mol\n  <sup>\n   –1\n  </sup>\n  + 431 kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 755 «kJ»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  bond forming: «3C–H + C–Cl + H–Cl / 3 × 414 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 324 «kJ mol\n  <sup>\n   –1\n  </sup>\n  » + 431 kJ mol\n  <sup>\n   –1\n  </sup>\n  » / 1997 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  «ΔH = bond breaking – bond forming = 656 kJ – 755 kJ» = –99 «kJ» ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [3]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2 max]\n   </strong>\n   for 99 «kJ».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  reactants at higher enthalpy than products ✔\n </p>\n <p>\n  <br/>\n  ΔH/-99 «kJ» labelled on arrow from reactants to products\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  activation energy/\n  <em>\n   E\n  </em>\n  <sub>\n   a\n  </sub>\n  labelled on arrow from reactant to top of energy profile ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept a double headed arrow between reactants and products labelled as ΔH for M2.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  A challenging question, requiring accurate knowledge of the bonding in these allotropes (some referred to graphite, clearly the most familiar allotrope). The most frequent (correct) answer was the difference in number of bonded C atoms and hybridisation in second place. However, only 30% got a mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  Again, this was a struggle between intermolecular forces and covalent bonds and this proved to be even harder than (a)(i) with only 25% of candidates getting full marks. The distinction between giant covalent/covalent network in diamond and molecular in C60 and hence resultant sublimation points, was rarely explained. There were many general and vague answers given, as well as commonly (incorrectly) stating that intermolecular forces are present in diamond. As another example of insufficient attention to the question itself, many candidates failed to say which would sublime at a higher temperature and so missed even one mark.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This easy question was quite well answered; same/similar physical properties and empirical formula were common errors.\n </p>\n <p>\n  Candidates misinterpreted the question and mentioned CH3\n  <sup>\n   +\n  </sup>\n  , i.e., the lost fragment; the other very common error was -COOH which shows a complete lack of understanding of MS considering the question is about butane so O should never appear.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Well answered by most, but some basic chemistry was missing when reporting results, perhaps as a result of little practical work due to COVID. A significant number suggested IR spectrometry, very likely because the question followed one on H NMR spectroscopy, thus revealing a failure to read the question properly (which asks for a test). Some teachers felt that adding \"chemical\" would have avoided some confusion.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(ii))\n </div><div class=\"card-body\">\n <p>\n  Well done in general and most candidates wrote correct reagents, eventually losing a mark when considering H\n  <sub>\n   2\n  </sub>\n  to be a product alongside 2-bromobutane.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d(iii))\n </div><div class=\"card-body\">\n <p>\n  Very well answered, some mentioned halogenation which is a different reaction.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(i))\n </div><div class=\"card-body\">\n <p>\n  Only the very weak candidates were unable to calculate the enthalpy change correctly, eventually missing 1 mark for inverted calculations.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f(ii))\n </div><div class=\"card-body\">\n <p>\n  Most candidates drew correct energy profiles, consistent with the sign of the energy change calculated in the previous question. And again, only very weak candidate failed to get at least 1 mark for correct profiles.\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-1-models-of-the-particulate-nature-of-matter",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "reactivity-1-2-energy-cycles-in-reactions",
+      "reactivity-2-2-how-fast-the-rate-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-1-1-introduction-to-the-particulate-nature-of-matter",
+      "structure-2-2-the-covalent-model",
+      "structure-3-2-functional-groups-classification-of-organic-compounds",
+      "tool-1-experimental-techniques"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the structural and empirical formulas of\n   <strong>\n    B\n   </strong>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, with reference to Le Châtelier’s principle, the effect of using dilute rather than concentrated sulfuric acid as the catalyst on the yield of the reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, with reference to intermolecular forces, why\n   <strong>\n    B\n   </strong>\n   is more volatile than\n   <strong>\n    A\n   </strong>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compound\n   <strong>\n    A\n   </strong>\n   can also react with bromine. Describe the change observed if\n   <strong>\n    A\n   </strong>\n   is reacted with bromine.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Structure:\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  ester functional group ✔\n </p>\n <p>\n  rest of structure ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Empirical Formula:\n  </em>\n </p>\n <p>\n  C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   5\n  </sub>\n  O ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept condensed/skeletal formula.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Structure:\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  ester functional group ✔\n </p>\n <p>\n  rest of structure ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Empirical Formula:\n  </em>\n </p>\n <p>\n  C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   5\n  </sub>\n  O ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept condensed/skeletal formula.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  dilute adds «excess» water\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  water is a product ✔\n </p>\n <p>\n </p>\n <p>\n  shift left\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  decreases yield ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   A\n  </strong>\n  has hydrogen bonding/bonds «and dipole-dipole and London/dispersion forces»\n  <strong>\n   <em>\n    AND\n   </em>\n   B\n  </strong>\n  has dipole-dipole «and London/dispersion forces»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <strong>\n   A\n  </strong>\n  has hydrogen bonding/bonds\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <strong>\n   B\n  </strong>\n  does not ✔\n </p>\n <p>\n </p>\n <p>\n  intermolecular forces are weaker in\n  <strong>\n   B\n  </strong>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  hydrogen bonding/bonds stronger «than dipole-dipole» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  brown/orange/red/yellow to colourless ✔\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept clear for colourless.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-scoring and low-scoring candidates. The average mark on this three-mark question was 1.3. The majority of candidates did not recognize it as an esterification reaction and the ester functional group was only seen in a small proportion of the scripts. Some candidates earned a mark for the remainder of the structure. Only about half of the candidates earned error carried forward for the mark allocated for the empirical formula. Some candidates had the molecular formula instead, and some candidates miscounted the numbers of atoms in the structure they drew.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-scoring and low-scoring candidates. The average mark on this three-mark question was 1.3. The majority of candidates did not recognize it as an esterification reaction and the ester functional group was only seen in a small proportion of the scripts. Some candidates earned a mark for the remainder of the structure. Only about half of the candidates earned error carried forward for the mark allocated for the empirical formula. Some candidates had the molecular formula instead, and some candidates miscounted the numbers of atoms in the structure they drew.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  This was the most challenging question on the paper according to the difficulty index. Many candidates stated that catalysts do not affect the position of an equilibrium and hence the yield is not changed. Some candidates stated that the rate of reaction would be slower and the yield per unit time would be lower. Only a few candidates recognized that the dilute sulfuric acid catalyst would introduce more water, and since water is a product it would shift the equilibrium to the left and lower the yield of the ester. 23% of the candidates did not answer the question. Some teachers commented in their feedback that it was not fair to expect the students to know about the dehydrating property of H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  , but this was not intended. The students were expected to deduce the effect.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.iii)\n </div><div class=\"card-body\">\n <p>\n  This question about intermolecular forces discriminated well between high-achieving and low-achieving candidates. Stronger candidates showed excellent understanding of the types of intermolecular forces found between the molecules of each compound and how they compared in strength. They gave more detail than the markscheme required. The average mark on the question was 0.8 out of 2. 21% of the candidates left the question blank. Error carried forward was applied whenever it was possible based on the answer in (a)(i).\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Although it was a straightforward organic question, 22% of the candidates left it blank, indicating less confidence in answering the organic chemistry questions. 40% of the candidates gained the mark for the decolourization of bromine. One of the common mistakes was reversing the colour change and another was using the term \"clear\" instead of \"colourless\".\n </p>\n</div>\n",
+    "topics": [
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "structure-2-models-of-bonding-and-structure",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "reactivity-2-3-how-far-the-extent-of-chemical-change",
+      "reactivity-3-4-electron-pair-sharing-reactions",
+      "structure-2-2-the-covalent-model",
+      "structure-2-4-from-models-to-materials",
+      "structure-3-2-functional-groups-classification-of-organic-compounds"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the amount, in mol, of sulfur dioxide produced when 500.0 g of lignite undergoes combustion.\n  </p>\n  <p style=\"text-align:center;\">\n   S (s) + O\n   <sub>\n    2\n   </sub>\n   (g) → SO\n   <sub>\n    2\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Write an equation that shows how sulfur dioxide can produce acid rain.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sodium thiosulfate reacts with hydrochloric acid as shown:\n  </p>\n  <p style=\"text-align:center;\">\n   Na\n   <sub>\n    2\n   </sub>\n   S\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    3\n   </sub>\n   (aq) + 2HCl (aq) → S (s) + SO\n   <sub>\n    2\n   </sub>\n   (aq) + 2NaCl (aq) + H\n   <sub>\n    2\n   </sub>\n   O (l)\n  </p>\n  <p>\n   The precipitate of sulfur makes the mixture cloudy, so a mark underneath the reaction mixture becomes invisible with time.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   variables, other than concentration, that should be controlled when comparing relative rates at different temperatures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss\n   <strong>\n    two\n   </strong>\n   different ways to reduce the environmental impact of energy production from coal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    40\n   </mn>\n   <mo>\n    %\n   </mo>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    500\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 2.0 «g» ✔\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      m\n     </mi>\n     <mi>\n      o\n     </mi>\n     <mi>\n      l\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      S\n     </mi>\n    </mrow>\n    <mrow>\n     <mn>\n      32\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      07\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      g\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    062\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mi>\n    o\n   </mi>\n   <mi>\n    l\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    o\n   </mi>\n   <mi>\n    f\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    S\n   </mi>\n  </math>\n  » = 0.062 «mol of SO\n  <sub>\n   2\n  </sub>\n  » ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Accept 0.063 «mol».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    40\n   </mn>\n   <mo>\n    %\n   </mo>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    500\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 2.0 «g» ✔\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    g\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      m\n     </mi>\n     <mi>\n      o\n     </mi>\n     <mi>\n      l\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      S\n     </mi>\n    </mrow>\n    <mrow>\n     <mn>\n      32\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      07\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      g\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    062\n   </mn>\n   <mo>\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mi>\n    o\n   </mi>\n   <mi>\n    l\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    o\n   </mi>\n   <mi>\n    f\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    S\n   </mi>\n  </math>\n  » = 0.062 «mol of SO\n  <sub>\n   2\n  </sub>\n  » ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n <p>\n  <em>\n   Accept 0.063 «mol».\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   3\n  </sub>\n  (aq)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + ½O\n  <sub>\n   2\n  </sub>\n  (g) → SO\n  <sub>\n   3\n  </sub>\n  (g)\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  SO\n  <sub>\n   3\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  (aq)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  SO\n  <sub>\n   2\n  </sub>\n  (g) + ½O\n  <sub>\n   2\n  </sub>\n  (g) + H\n  <sub>\n   2\n  </sub>\n  O (l) → H\n  <sub>\n   2\n  </sub>\n  SO\n  <sub>\n   4\n  </sub>\n  (aq) ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept ionized forms of acids.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of:\n  </em>\n </p>\n <p>\n  depth/volume «of solution» ✔\n </p>\n <p>\n  colour/darkness/thickness/size/background of mark ✔\n </p>\n <p>\n  intensity of lighting in the lab ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept same size flask.\n  </em>\n </p>\n <p>\n  <em>\n   Accept position of observation/person observing.\n  </em>\n </p>\n <p>\n  <em>\n   Accept same equipment/apparatus.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept catalyst/particle size/pressure/time.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any\n   <strong>\n    two\n   </strong>\n   of:\n  </em>\n </p>\n <p>\n  remove sulfur from coal ✔\n </p>\n <p>\n  add lime during combustion ✔\n </p>\n <p>\n  not allow sulfur oxides to be released into the environment ✔\n </p>\n <p>\n  reduce proportion/percentage of energy/power produced by «the combustion of» coal ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any valid method to wash coal and remove sulfur content for M1.\n  </em>\n </p>\n <p>\n  <em>\n   Accept any valid combustion/post-combustion method to remove sulfur oxides.\n  </em>\n </p>\n <p>\n  <em>\n   Accept any suggestion that would reduce the amount of coal that is burnt or would reduce the damage caused.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept answers that only reduce production of SO\n   <sub>\n    2\n   </sub>\n   /CO\n   <sub>\n    2\n   </sub>\n   from other fuels.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “improve efficiency of energy production from coal”.\n  </em>\n </p>\n <p>\n  <em>\n   Accept “use coal of lower sulfur content”\n   <strong>\n    OR\n   </strong>\n   “cleaner coal”.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-achieving and low-achieving candidates. The majority of the candidates were able to achieve one mark for determining the number of moles using 500g, while stronger candidates determined 0.40% of 500g to determine the correct number of moles. A number of candidates had a power of ten error in the first step.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A question that discriminated well between high-achieving and low-achieving candidates. The majority of the candidates were able to achieve one mark for determining the number of moles using 500g, while stronger candidates determined 0.40% of 500g to determine the correct number of moles. A number of candidates had a power of ten error in the first step.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This question was poorly answered and only 30% of the candidates wrote a correct equation for the formation of acid rain from SO\n  <sub>\n   2\n  </sub>\n  . Mistakes included unbalanced equations and hydrogen added as a product.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Most candidates mentioned \"volume\" as a variable that should be controlled gaining one of the two marks, while only a small proportion of candidates seemed to understand how the experiment worked and discussed the lighting in the room and the thickness of the mark. The most common incorrect answer was \"pressure\" which was irrelevant to this experiment.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Some candidates referred to the pre-combustion and post combustion methods of minimizing the release of SO\n  <sub>\n   2\n  </sub>\n  . Some candidates focused on using cleaner coal, other fuels or renewable energy sources. Some mentioned increasing the efficiency of power stations to reduce the amount of coal burned. Some focused on removing the CO\n  <sub>\n   2\n  </sub>\n  released by planting trees. All these options were valid with sufficient detail. But answers that were not relevant to coal, such as fitting catalytic converters on cars, were not accepted. 15% of the candidates did not answer the question, and the average mark was 0.8 out of 2 marks.\n </p>\n</div>\n",
+    "topics": [
+      "inquiry",
+      "reactivity-1-what-drives-chemical-reactions",
+      "reactivity-2-how-much-how-fast-and-how-far",
+      "structure-3-classification-of-matter"
+    ],
+    "subtopics": [
+      "inquiry-1-exploring-and-designing",
+      "reactivity-1-3-energy-from-fuels",
+      "reactivity-2-1-how-much-the-amount-of-chemical-change",
+      "structure-3-1-the-periodic-table-classification-of-elements"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the ionic equation, including state symbols, for the reaction of hydrogen chloride gas with water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  H\n  <sub>\n   2\n  </sub>\n  O\n  <sub>\n   (l)\n  </sub>\n  + HCl\n  <sub>\n   (g)\n  </sub>\n  → Cl\n  <sup>\n   −\n  </sup>\n  <sub>\n   (aq)\n  </sub>\n  + H\n  <sub>\n   3\n  </sub>\n  O\n  <sup>\n   +\n  </sup>\n  <sub>\n   (aq) ✓✓\n  </sub>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   One for the equation and one for the state symbols.\n   <br/>\n   Do not accept\n  </em>\n  H\n  <sub>\n   2\n  </sub>\n  O\n  <sub>\n   (l)\n  </sub>\n  + H\n  <sup>\n   +\n  </sup>\n  <sub>\n   (g)\n  </sub>\n  →\n  <sub>\n  </sub>\n  H\n  <sub>\n   3\n  </sub>\n  O\n  <sup>\n   +\n  </sup>\n  <sub>\n   (aq)\n  </sub>\n  <em>\n   <br/>\n   Do not accept equilibrium sign.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate and label the ground state orbital diagram of boron, using arrows to represent electrons.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results are given where ✓ = reaction occurred and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = no reaction.\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:171px;\" width=\"552\">\n   <tbody>\n    <tr>\n     <td style=\"width:50.7639px;text-align:center;\">\n      <strong>\n       Metal\n      </strong>\n     </td>\n     <td style=\"width:93.7269px;text-align:center;\">\n      <strong>\n       ASO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:93.4954px;text-align:center;\">\n      <strong>\n       BSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.8704px;text-align:center;\">\n      <strong>\n       CSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:94.6065px;text-align:center;\">\n      <strong>\n       DSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.2685px;text-align:center;\">\n      <strong>\n       ESO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       A\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       B\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       C\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       D\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       E\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      —\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  arrows\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  identifies 2s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2p sub orbitals ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “hooks” to represent the electrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +2/II ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept A\n   <sup>\n    2+\n   </sup>\n   , A\n   <sup>\n    +2\n   </sup>\n   , 2\n   <strong>\n    OR\n   </strong>\n   2+.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the meaning of homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   High-pressure carbon monoxide disproportionation (HiPco) produces carbon atoms that react with nano catalysts to produce carbon nanotubes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  general formula\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  differ by a common structural unit/\n  <em>\n   CH\n  </em>\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept contains the same functional group for same family.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2CO(g) → C(s) + CO\n  <sub>\n   2\n  </sub>\n  (g) ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept reversible arrows.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the oxidation state of sulfur in copper (II) sulfate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why metals alloyed with another metal are usually harder and stronger but poorer conductors than the pure metal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +6/VI ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 6/6\n   <sup>\n    +\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  metal ions/atoms have different sizes ✓\n  <br/>\n  cations/atoms/layers do not slide over each other as easily ✓\n  <br/>\n  «irregularities» obstruct free movement of electrons ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept electrons move less easily/less delocalized for M3.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw\n   <strong>\n    one\n   </strong>\n   Lewis (electron dot) structure of the sulfate ion.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The\n   <em>\n    K\n   </em>\n   <sub>\n    sp\n   </sub>\n   of copper (II) hydroxide is 2.2 × 10\n   <sup>\n    −20\n   </sup>\n   . Calculate the molar solubility of Cu\n   <sup>\n    2+\n   </sup>\n   (aq) ions in a solution of pH 9.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any combination of dots, crosses and lines.\n   <br/>\n   Double bonds do not have to be opposite each other.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   penalise missing square brackets.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   K\n  </em>\n  <sub>\n   sp\n  </sub>\n  =[Cu\n  <sup>\n   2+\n  </sup>\n  ][OH\n  <sup>\n   −\n  </sup>\n  ]\n  <sup>\n   2\n  </sup>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  2.2 × 10\n  <sup>\n   −20\n  </sup>\n  =[Cu\n  <sup>\n   2+\n  </sup>\n  ] × (10\n  <sup>\n   −5\n  </sup>\n  )\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n <p>\n  [Cu2+] «= Ksp/[OH−]2 =2.2 x 10−20/(10−5)2»\n  <br/>\n  = 2.2 ×10\n  <sup>\n   −10\n  </sup>\n  «mol dm\n  <sup>\n   −3\n  </sup>\n  » ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the standard enthalpy of reaction (\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mtext>\n     Δ\n    </mtext>\n    <msubsup>\n     <mi>\n      H\n     </mi>\n     <mtext>\n      r\n     </mtext>\n     <mo>\n      ⦵\n     </mo>\n    </msubsup>\n   </math>\n   ), in kJ mol\n   <sup>\n    −1\n   </sup>\n   , for the oxidation of SO\n   <sub>\n    2\n   </sub>\n   to SO\n   <sub>\n    3\n   </sub>\n   .\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"width:500px;height:127px;margin-left:90px;\">\n   <tbody>\n    <tr>\n     <td style=\"width:106.91px;text-align:center;\">\n      <strong>\n       Substance\n      </strong>\n     </td>\n     <td style=\"width:380.208px;text-align:center;\">\n      <strong>\n       Enthalpy of formation, (\n       <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n        <mtext mathvariant=\"bold\">\n         Δ\n        </mtext>\n        <msubsup>\n         <mi mathvariant=\"bold-italic\">\n          H\n         </mi>\n         <mtext mathvariant=\"bold\">\n          f\n         </mtext>\n         <mo mathvariant=\"bold\">\n          ⦵\n         </mo>\n        </msubsup>\n       </math>\n       ), in kJ mol\n       <sup>\n        −1\n       </sup>\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:106.91px;\">\n      SO\n      <sub>\n       2\n      </sub>\n     </td>\n     <td style=\"text-align:center;width:380.208px;\">\n      −296.8\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:106.91px;\">\n      SO\n      <sub>\n       3\n      </sub>\n     </td>\n     <td style=\"text-align:center;width:380.208px;\">\n      −395.8\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why vitamins usually need to be obtained from food sources.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  «Δ\n  <em>\n   H\n  </em>\n  °\n  <em>\n   rxn\n  </em>\n  = ΣΔ\n  <em>\n   H\n  </em>\n  °f (Products) − ΣΔ\n  <em>\n   H\n  </em>\n  °f (Reactants) =»\n  <br/>\n  −395.8 − (−296.8)» = −99.0«kJ mol\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  cannot be synthesized «by the human body» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the number of signals you would expect to find in the\n   <sup>\n    1\n   </sup>\n   H NMR spectrum of each compound.\n  </p>\n  <p>\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Glucose, an isomer of fructose, exists as two isomeric ring forms. Annotate the diagram below to complete the structure of β-glucose. Use section 34 of the data booklet.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:88px;\" width=\"313\">\n  <tbody>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Name\n    </td>\n    <td style=\"width:151.852px;\">\n     Number of signals\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Ethyl methanoate\n    </td>\n    <td style=\"width:151.852px;\">\n     3\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:148.275px;\">\n     Methyl ethanoate\n    </td>\n    <td style=\"width:151.852px;\">\n     <em>\n      <strong>\n       AND\n      </strong>\n     </em>\n     2\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Entire structure must be correct to score the mark.\n  </em>\n </p>\n <p>\n  <em>\n   Ignore incorrect connectivity.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why a colorimeter set at a wavelength of 500 nm is not suitable to investigate reactions of Zn\n   <sup>\n    2+\n   </sup>\n   compounds. Use section 3 of the data booklet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the\n   <strong>\n    three\n   </strong>\n   components of a monomer of DNA (a nucleotide).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Zn\n  <sup>\n   2+\n  </sup>\n  does not form coloured compounds/ has a complete d subshell/orbital  ✓\n  <br/>\n  <br/>\n  500 nm/«the setting on the colorimeter» in visible region\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  no absorbance will be seen  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  phosphate\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  deoxyribose\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  nitrogenous base ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept named base.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept ‘sugar’ or ‘pentose sugar’ in place of deoxyribose.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An unknown organic compound,\n   <strong>\n    X\n   </strong>\n   , comprising of only carbon, hydrogen and oxygen was found to contain 48.6 % of carbon and 43.2 % of oxygen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «n(C) =» 4.05 «mol»\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  «n(O) =» 2.70 «mol» ✓\n </p>\n <p>\n  «% H =» 8.2 %\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «n(H) =» 8.12 «mol» ✓\n </p>\n <p>\n  «empirical formula =» C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  O\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for the simplest ratio ″1.5 C: 3 H: 1 O″.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Nitrogen (IV) oxide exists in equilibrium with dinitrogen tetroxide, N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g), which is colourless.\n  </p>\n  <p style=\"text-align:center;\">\n   2NO\n   <sub>\n    2\n   </sub>\n   (g) ⇌ N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   All species are almost colourless except for MnO\n   <sub>\n    4\n   </sub>\n   <sup>\n    −\n   </sup>\n   , which has an intense purple colour, though the kale extract is coloured by the chlorophyll present.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  reaction hardly proceeds\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reverse reaction/formation of NO\n  <sub>\n   2\n  </sub>\n  is favoured\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «concentration of» reactants greater than «concentration of» products «at equilibrium» ✓\n </p>\n <p>\n  <em>\n   Accept equilibrium lies to the left.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  green to purple\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to brown\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to purple-green ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “colourless to purple”.\n   <br/>\n   Accept “green to grey/blueish”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “clear” for “colourless”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “purple to “brown”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept blue as final colour.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An electrolytic cell was set up using inert electrodes and a dilute aqueous solution of magnesium chloride, MgCl\n   <sub>\n    2\n   </sub>\n   (aq).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  electron flow from anode to battery\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  from battery to cathode ✓\n </p>\n <p>\n  Mg\n  <sup>\n   2+\n  </sup>\n  /H\n  <sup>\n   +\n  </sup>\n  ions to − electrode\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  Cl\n  <sup>\n   −\n  </sup>\n  /OH\n  <sup>\n   −\n  </sup>\n  ions to + electrode ✓\n </p>\n <p>\n  <em>\n   Do not award M1 if electrons are shown in electrolyte.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Bismuth has atomic number 83. Deduce\n   <strong>\n    two\n   </strong>\n   pieces of information about the electron configuration of bismuth from its position on the periodic table.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a substance in the same phase as the reactants can reduce the activation energy and act as a catalyst.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of the following:\n  </em>\n  <br/>\n  «group 15 so Bi has» 5 valence electrons ✓\n  <br/>\n  «period 6 so Bi has» 6 «occupied» electron shells/energy levels ✓\n  <br/>\n  «in p-block so» p orbitals are highest occupied ✓\n  <br/>\n  occupied d/f orbitals ✓\n  <br/>\n  has unpaired electrons ✓\n  <br/>\n  has incomplete shell(s)/subshell(s) ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for full or condensed electron configuration, [Xe] 4f\n   <sup>\n    14\n   </sup>\n   5d\n   <sup>\n    10\n   </sup>\n   6s\n   <sup>\n    2\n   </sup>\n   6p\n   <sup>\n    3\n   </sup>\n   .\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept other valid statements about the electron configuration.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  forms an intermediate/activated complex ✓\n  <br/>\n  «intermediate/activated complex» dissociates to form product «\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  catalyst» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept correct annotated energy profile for either mark.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The concentration of methanoic acid was found by titration with a 0.200 mol dm\n   <sup>\n    −\n    <span style=\"font-size:11.6667px;\">\n     3\n    </span>\n   </sup>\n   standard solution of sodium hydroxide, NaOH (aq), using an indicator to determine the end point.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The unit cell of lead (II) sulfide is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «[OH\n  <sup>\n   −\n  </sup>\n  ] = 0.200 mol dm\n  <sup>\n   −3\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1:\n   </strong>\n  </em>\n  <br/>\n  «pOH = −log\n  <sub>\n   10\n  </sub>\n  (0.200) =» 0.699 ✓\n  <br/>\n  «pH = 14.000 − 0.699 =» 13.301 ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2:\n   </strong>\n  </em>\n  <br/>\n  «[H\n  <sup>\n   +\n  </sup>\n  ] =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        14\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      200\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = » 5.00 × 10\n  <sup>\n   −14\n  </sup>\n  «mol dm\n  <sup>\n   −3\n  </sup>\n  » ✓\n  <br/>\n  «pH = −log\n  <sub>\n   10\n  </sub>\n  (5.00 × 10\n  <sup>\n   −14\n  </sup>\n  )» = 13.301 ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for correct final answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  6 ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the type of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the interactions between amino acids occurring at the primary, secondary and tertiary levels within a protein.\n  </p>\n  <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;\" width=\"500\">\n   <tbody>\n    <tr>\n     <td style=\"text-align:center;width:150.898px;\">\n      <strong>\n       Structure Level\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:335.143px;\">\n      <strong>\n       Interactions between amino acids\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Primary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Secondary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Tertiary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «electrophilic» addition/A\n  <sub>\n   E\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept nucleophilic addition.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;width:530.866px;\">\n  <tbody>\n   <tr>\n    <td style=\"text-align:center;width:150px;\">\n     <strong>\n      Structure Level\n     </strong>\n    </td>\n    <td style=\"text-align:center;width:365.866px;\">\n     <strong>\n      Interactions between amino acids\n     </strong>\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Primary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     covalent bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     peptide bond\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     amide bond ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Secondary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     hydrogen bonding ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Tertiary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     interactions between R groups/side chains\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     ionic/electrostatic «attraction»\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrogen bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrophobic interactions\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     disulfide bridges\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     London/dispersion/van der Waals/«instantaneous» induced dipole-induced dipole ✓\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “amino acid sequence” for M1.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “alpha helix”\n   <strong>\n    OR\n   </strong>\n   “beta sheets” for M2.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept “covalent bonding” for M3.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Enthalpy of solution, enthalpy of hydration and lattice enthalpy are related in an energy cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare the hydrolytic and oxidative rancidity and contrast the site where the chemical changes occur.\n  </p>\n  <p>\n  </p>\n  <p>\n   Compare rancidity: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   Contrast reaction site: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n  <p>\n   . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  correct boxes ✓\n  <br/>\n  A: enthalpy of solution / Δ\n  <em>\n   H\n  </em>\n  solution / Δ\n  <em>\n   H\n  </em>\n  sol\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  B: lattice enthalpy / Δ\n  <em>\n   H\n  </em>\n  lattice\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  C: enthalpy of hydration / Δ\n  <em>\n   H\n  </em>\n  hydration ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Compare rancidity:\n  </em>\n  <br/>\n  «both produce» disagreeable smell/taste/texture/appearance ✓\n </p>\n <p>\n  <em>\n   Contrast reaction site:\n  </em>\n  <br/>\n  hydrolytic reaction occurs at ester link/COOC link\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  oxidative reaction occurs at carbon-carbon double bond/C=C ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “double bond” alone for oxidative reaction site.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Annotate and label the ground state orbital diagram of boron, using arrows to represent electrons.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results are given where ✓ = reaction occurred and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = no reaction.\n  </p>\n  <table border=\"1\" cellpadding=\"2\" cellspacing=\"0\" style=\"height:171px;\" width=\"552\">\n   <tbody>\n    <tr>\n     <td style=\"width:50.7639px;text-align:center;\">\n      <strong>\n       Metal\n      </strong>\n     </td>\n     <td style=\"width:93.7269px;text-align:center;\">\n      <strong>\n       ASO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:93.4954px;text-align:center;\">\n      <strong>\n       BSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.8704px;text-align:center;\">\n      <strong>\n       CSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:94.6065px;text-align:center;\">\n      <strong>\n       DSO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n     <td style=\"width:92.2685px;text-align:center;\">\n      <strong>\n       ESO\n       <sub>\n        4\n       </sub>\n       (aq)\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       A\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       B\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       C\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✓\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       D\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      —\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      ✓\n     </td>\n    </tr>\n    <tr>\n     <td style=\"text-align:center;width:50.7639px;\">\n      <strong>\n       E\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:93.7269px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:93.4954px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.8704px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:94.6065px;\">\n      ✗\n     </td>\n     <td style=\"text-align:center;width:92.2685px;\">\n      —\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  arrows\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  identifies 2s\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  2p sub orbitals ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “hooks” to represent the electrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +2/II ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept A\n   <sup>\n    2+\n   </sup>\n   , A\n   <sup>\n    +2\n   </sup>\n   , 2\n   <strong>\n    OR\n   </strong>\n   2+.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the meaning of homologous series.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   High-pressure carbon monoxide disproportionation (HiPco) produces carbon atoms that react with nano catalysts to produce carbon nanotubes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  general formula\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  compounds of the same family\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  differ by a common structural unit/\n  <em>\n   CH\n  </em>\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept contains the same functional group for same family.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2CO(g) → C(s) + CO\n  <sub>\n   2\n  </sub>\n  (g) ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Accept reversible arrows.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the oxidation state of sulfur in copper (II) sulfate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why metals alloyed with another metal are usually harder and stronger but poorer conductors than the pure metal.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  +6/VI ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept 6/6\n   <sup>\n    +\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  metal ions/atoms have different sizes ✓\n  <br/>\n  cations/atoms/layers do not slide over each other as easily ✓\n  <br/>\n  «irregularities» obstruct free movement of electrons ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept electrons move less easily/less delocalized for M3.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the percentage of oxygen present in the double salt.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why vitamins usually need to be obtained from food sources.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  «100 − (7.09 + 5.11 + 16.22 + 14.91) =» 56.67 «%» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  cannot be synthesized «by the human body» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An unknown organic compound,\n   <strong>\n    X\n   </strong>\n   , comprising of only carbon, hydrogen and oxygen was found to contain 48.6 % of carbon and 43.2 % of oxygen.\n  </p>\n  <p>\n   Determine the empirical formula.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «n(C) =» 4.05 «mol»\n  <br/>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <br/>\n  «n(O) =» 2.70 «mol» ✓\n  <br/>\n  «% H =» 8.2 %\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «n(H) =» 8.12 «mol» ✓\n </p>\n <p>\n  «empirical formula =» C\n  <sub>\n   3\n  </sub>\n  H\n  <sub>\n   6\n  </sub>\n  O\n  <sub>\n   2\n  </sub>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for the simplest ratio ″1.5 C: 3 H: 1 O″.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Nitrogen (IV) oxide exists in equilibrium with dinitrogen tetroxide, N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g), which is colourless.\n  </p>\n  <p style=\"text-align:center;\">\n   2NO\n   <sub>\n    2\n   </sub>\n   (g) ⇌ N\n   <sub>\n    2\n   </sub>\n   O\n   <sub>\n    4\n   </sub>\n   (g)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   All species are almost colourless except for MnO\n   <sub>\n    4\n   </sub>\n   <sup>\n    −\n   </sup>\n   , which has an intense purple colour, though the kale extract is coloured by the chlorophyll present.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  reaction hardly proceeds\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  reverse reaction/formation of NO\n  <sub>\n   2\n  </sub>\n  is favoured\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «concentration of» reactants greater than «concentration of» products «at equilibrium» ✓\n </p>\n <p>\n  <em>\n   Accept equilibrium lies to the left.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  green to purple\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to brown\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  green to purple-green ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept “colourless to purple”.\n   <br/>\n   Accept “green to grey/blueish”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “clear” for “colourless”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “purple to “brown”.\n   <br/>\n   Do\n   <strong>\n    not\n   </strong>\n   accept blue as final colour.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An electrolytic cell was set up using inert electrodes and molten magnesium chloride, MgCl\n   <sub>\n    2\n   </sub>\n   (l).\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  magnesium/Mg «metal» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept magnesium ions/Mg\n   <sup>\n    2+\n   </sup>\n   .\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Bismuth has atomic number 83. Deduce\n   <strong>\n    two\n   </strong>\n   pieces of information about the electron configuration of bismuth from its position on the periodic table.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how a substance in the same phase as the reactants can reduce the activation energy and act as a catalyst.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Any two of the following:\n  </em>\n  <br/>\n  «group 15 so Bi has» 5 valence electrons ✓\n  <br/>\n  «period 6 so Bi has» 6 «occupied» electron shells/energy levels ✓\n  <br/>\n  «in p-block so» p orbitals are highest occupied ✓\n  <br/>\n  occupied d/f orbitals ✓\n  <br/>\n  has unpaired electrons ✓\n  <br/>\n  has incomplete shell(s)/subshell(s) ✓\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for full or condensed electron configuration, [Xe] 4f\n   <sup>\n    14\n   </sup>\n   5d\n   <sup>\n    10\n   </sup>\n   6s\n   <sup>\n    2\n   </sup>\n   6p\n   <sup>\n    3\n   </sup>\n   .\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept other valid statements about the electron configuration.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  forms an intermediate/activated complex ✓\n  <br/>\n  «intermediate/activated complex» dissociates to form product «\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  catalyst» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept correct annotated energy profile for either mark.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest an experimental method that could be used to determine the rate of reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the interactions between amino acids occurring at the primary, secondary and tertiary levels within a protein.\n  </p>\n  <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;\" width=\"500\">\n   <tbody>\n    <tr>\n     <td style=\"text-align:center;width:150.898px;\">\n      <strong>\n       Structure Level\n      </strong>\n     </td>\n     <td style=\"text-align:center;width:335.143px;\">\n      <strong>\n       Interactions between amino acids\n      </strong>\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Primary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Secondary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:150.898px;\">\n      Tertiary\n     </td>\n     <td style=\"width:335.143px;text-align:center;\">\n      ...........................................................\n     </td>\n    </tr>\n   </tbody>\n  </table>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «measure change in»\n  <br/>\n  mass\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  pressure\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  volume of gas/CO\n  <sub>\n   2\n  </sub>\n  produced\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «intensity of» colour\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  «electrical» conductivity\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  pH ✓\n </p>\n <p>\n  with time ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any of the following for M1:\n   <br/>\n   perform experiment on balance\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use pressure probe\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   collect gas/gas syringe\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use colorimeter\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use conductivity meter\n   <br/>\n   <strong>\n    OR\n   </strong>\n   <br/>\n   use pH meter\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “measure rate of change” for M2.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <table border=\"1\" cellpadding=\"5\" cellspacing=\"0\" style=\"height:146px;width:530.866px;\">\n  <tbody>\n   <tr>\n    <td style=\"text-align:center;width:150px;\">\n     <strong>\n      Structure Level\n     </strong>\n    </td>\n    <td style=\"text-align:center;width:365.866px;\">\n     <strong>\n      Interactions between amino acids\n     </strong>\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Primary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     covalent bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     peptide bond\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     amide bond ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Secondary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     hydrogen bonding ✓\n    </td>\n   </tr>\n   <tr>\n    <td style=\"width:150px;\">\n     Tertiary\n    </td>\n    <td style=\"width:365.866px;text-align:left;\">\n     interactions between R groups/side chains\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     ionic/electrostatic «attraction»\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrogen bonding\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     hydrophobic interactions\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     disulfide bridges\n     <br/>\n     <em>\n      <strong>\n       OR\n      </strong>\n     </em>\n     <br/>\n     London/dispersion/van der Waals/«instantaneous» induced dipole-induced dipole ✓\n    </td>\n   </tr>\n  </tbody>\n </table>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “amino acid sequence” for M1.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept “alpha helix”\n   <strong>\n    OR\n   </strong>\n   “beta sheets” for M2.\n   <br/>\n  </em>\n </p>\n <p>\n  <em>\n   Accept “covalent bonding” for M3.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "empty-topic"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "EXM.1B.HL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student reported the volumes of titrant used per trial for samples collected each day in the following table:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The candidate used a 25 cm\n   <sup>\n    3\n   </sup>\n   burette with an uncertainty of ±0.05 cm\n   <sup>\n    3\n   </sup>\n   . Comment on the uncertainty recorded for the titrant volumes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the initial % content of Fe\n   <sup>\n    2+\n   </sup>\n   in the raw spinach, showing your working.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results calculated for the subsequent days are shown.\n  </p>\n  <p>\n   <img height=\"166\" src=\"data:image/png;base64,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\" width=\"205\"/>\n  </p>\n  <p>\n   Comment on the significance of the difference in Fe\n   <sup>\n    2+\n   </sup>\n   content measured for day 4 and 5.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   flaws in the design that could have contributed to the random error in the investigation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student did not standardise the KMnO\n   <sub>\n    4\n   </sub>\n   solution used for titration. Suggest what type of error this may have caused, giving your reasons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The titration of Fe(II) with MnO\n   <sub>\n    4\n   </sub>\n   in acid medium is a redox reaction. State the oxidised and reduced species, including their change in oxidation states.\n  </p>\n  <p>\n   <br/>\n   Oxidised: ........................................................................................................................................\n  </p>\n  <p>\n   <br/>\n   Reduced: ........................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Spinach contains a large amount of antioxidant compounds, including ascorbic acid and oxalic acid. Predict how this will affect the accuracy of the results, mentioning the type and direction of the error.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «mol» MnO\n  <sup>\n   4−\n  </sup>\n  «=0.00339 × 0.01» = 3.38 × 10\n  <sup>\n   −5\n  </sup>\n  «mol» ✓\n </p>\n <p>\n  «mol MnO\n  <sup>\n   4−\n  </sup>\n  : mol Fe\n  <sup>\n   +2\n  </sup>\n  = 1:5»\n </p>\n <p>\n  «mol» Fe\n  <sup>\n   2+\n  </sup>\n  = 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  ✓\n </p>\n <p>\n  % Fe\n  <sup>\n   2+\n  </sup>\n  «= 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  × 55.8 × 100/2.0»= 0.47«%» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must show working for the marks.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  no difference\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  uncertainty larger than difference ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept other explanations referred to overlapping.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  dilute the titrant to use larger volumes «of titrant» ✔\n </p>\n <p>\n  ensure spinach leaf fragments are the same size ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  all values «equally» inaccurate ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Oxidised: Fe\n  <sup>\n   +2\n  </sup>\n  → Fe\n  <sup>\n   +3\n  </sup>\n  ✔\n </p>\n <p>\n  Reduced:  Mn\n  <sup>\n   7+\n  </sup>\n  → Mn\n  <sup>\n   2+\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  lower accuracy ✔\n </p>\n <p>\n  overestimation of [Fe(II)] ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "inquiry-3-concluding-and-evaluating",
+      "reactivity-3-2-electron-transfer-reactions",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "EXM.1B.HL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A calibration curve with pure ascorbic acid and appropriate amounts of the reagent, R, was prepared by dilutions with water of an initial aqueous solution of\n   <strong>\n    100\n   </strong>\n   <strong>\n    μg/cm\n    <sup>\n     −3\n    </sup>\n   </strong>\n   ascorbic acid in water, AA (aq)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the volumes of pure ascorbic acid solution required for each point of the calibration curve; point 4 of the curve is shown as an example.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The resulting calibration curve is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p>\n   Suggest a range of absorbance values for which this curve can be used to calculate ascorbic acid of broccoli accurately.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what should be used as a blank for spectrophotometric reading.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss why it is important to obtain a value of R\n   <sup>\n    2\n   </sup>\n   close to 1 for a calibration curve.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The sample stored at 5 °C showed an absorbance of 0.600. Determine the concentration of ascorbic acid in the sample solution by interpolation and using the line equation.\n  </p>\n  <p>\n   <br/>\n   interpolation in graph: ..........................................................................................................................\n  </p>\n  <p>\n   <br/>\n   using line equation: .............................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest which of the two methods will provide a more accurate value.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why water was chosen to extract ascorbic acid from the spinach leaves with reference to its structure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the % change in ascorbic acid concentration when stored for 3 days storage at 5 °C and 20 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate how much ascorbic acid will remain after 6 days storage at 20 °C in the same experimental conditions, stating any assumption made for the calculation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  0.050−1.000 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  water\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  all samples dissolved «in water» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  ensures the line is best-fit ✔\n </p>\n <p>\n  line/equation of the line will be used for quantitation ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any other explanations referring to accuracy.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Interpolation:\n  </em>\n  9.8 μg cm\n  <sup>\n   −3\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   using equation:\n  </em>\n  0.600/0.06283 = 9.55 «μg cm\n  <sup>\n   −3\n  </sup>\n  »\n  <sup>\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  line equation\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  uses the values for 5 determinations ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  «ascorbic acid» has multiple −OH/hydroxyl groups ✔\n </p>\n <p>\n  can H-bond with water ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept OH−/hydroxide for M1\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Δ % = «95.5 - 50.0/95.5 × 100»= 47.6 % ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept calculations using line equation\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  assumption: linear decrease ✔\n </p>\n <p>\n  rate «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  =  95.5 − 50.0 / 3 » = 15 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n <p>\n  «95.5 − 15 × 6 = 5.5 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "structure-2-models-of-bonding-and-structure",
+      "tools"
+    ],
+    "subtopics": [
+      "inquiry-1-exploring-and-designing",
+      "inquiry-2-collecting-and-processing-data",
+      "structure-2-2-the-covalent-model",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "EXM.1B.SL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student reported the volumes of titrant used per trial for samples collected each day in the following table:\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The candidate used a 25 cm\n   <sup>\n    3\n   </sup>\n   burette with an uncertainty of ±0.05 cm\n   <sup>\n    3\n   </sup>\n   . Comment on the uncertainty recorded for the titrant volumes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the initial % content of Fe\n   <sup>\n    2+\n   </sup>\n   in the raw spinach, showing your working.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The results calculated for the subsequent days are shown.\n  </p>\n  <p>\n   <img height=\"166\" src=\"data:image/png;base64,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\" width=\"205\"/>\n  </p>\n  <p>\n   Comment on the significance of the difference in Fe\n   <sup>\n    2+\n   </sup>\n   content measured for day 4 and 5.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   flaws in the design that could have contributed to the random error in the investigation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student did not standardise the KMnO\n   <sub>\n    4\n   </sub>\n   solution used for titration. Suggest what type of error this may have caused, giving your reasons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The titration of Fe(II) with MnO\n   <sub>\n    4\n   </sub>\n   in acid medium is a redox reaction. State the oxidised and reduced species, including their change in oxidation states.\n  </p>\n  <p>\n   <br/>\n   Oxidised: ........................................................................................................................................\n  </p>\n  <p>\n   <br/>\n   Reduced: ........................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Spinach contains a large amount of antioxidant compounds, including ascorbic acid and oxalic acid. Predict how this will affect the accuracy of the results, mentioning the type and direction of the error.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Incorrect\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  two readings, uncertainty is ±0.1 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «mol» MnO\n  <sup>\n   4−\n  </sup>\n  «=0.00339 × 0.01» = 3.38 × 10\n  <sup>\n   −5\n  </sup>\n  «mol» ✓\n </p>\n <p>\n  «mol MnO\n  <sup>\n   4−\n  </sup>\n  : mol Fe\n  <sup>\n   +2\n  </sup>\n  = 1:5»\n </p>\n <p>\n  «mol» Fe\n  <sup>\n   2+\n  </sup>\n  = 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  ✓\n </p>\n <p>\n  % Fe\n  <sup>\n   2+\n  </sup>\n  «= 1.95 × 10\n  <sup>\n   −4\n  </sup>\n  × 55.8 × 100/2.0»= 0.47«%» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must show working for the marks.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  no difference\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  uncertainty larger than difference ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept other explanations referred to overlapping.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  dilute the titrant to use larger volumes «of titrant» ✔\n </p>\n <p>\n  ensure spinach leaf fragments are the same size ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  all values «equally» inaccurate ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Oxidised: Fe\n  <sup>\n   +2\n  </sup>\n  → Fe\n  <sup>\n   +3\n  </sup>\n  ✔\n </p>\n <p>\n  Reduced:  Mn\n  <sup>\n   7+\n  </sup>\n  → Mn\n  <sup>\n   2+\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  systematic error\n  <strong>\n   <em>\n    AND\n   </em>\n  </strong>\n  lower accuracy ✔\n </p>\n <p>\n  overestimation of [Fe(II)] ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change",
+      "tools"
+    ],
+    "subtopics": [
+      "inquiry-3-concluding-and-evaluating",
+      "reactivity-3-2-electron-transfer-reactions",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "EXM.1B.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A calibration curve with pure ascorbic acid and appropriate amounts of the reagent, R, was prepared by dilutions with water of an initial aqueous solution of\n   <strong>\n    100\n   </strong>\n   <strong>\n    μg/cm\n    <sup>\n     −3\n    </sup>\n   </strong>\n   ascorbic acid in water, AA (aq)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the volumes of pure ascorbic acid solution required for each point of the calibration curve; point 4 of the curve is shown as an example.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The resulting calibration curve is shown:\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p>\n   Suggest a range of absorbance values for which this curve can be used to calculate ascorbic acid of broccoli accurately.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what should be used as a blank for spectrophotometric reading.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss why it is important to obtain a value of R\n   <sup>\n    2\n   </sup>\n   close to 1 for a calibration curve.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   After 3 days, the broccoli samples were removed from storage and 1.0 g of each sample was blended with 100.0 cm\n   <sup>\n    3\n   </sup>\n   of water. The filtered solution was mixed with the reactant in the same proportions as that used for the calibration curve in a cuvette and measured.\n  </p>\n  <p>\n   The sample stored at 5 °C showed an absorbance of 0.600. Determine the concentration of ascorbic acid in the sample solution by interpolation and using the line equation.\n  </p>\n  <p>\n   <br/>\n   interpolation in graph: ..........................................................................................................................\n  </p>\n  <p>\n   <br/>\n   using line equation: .............................................................................................................................\n  </p>\n  <p>\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why water was chosen to extract ascorbic acid from the spinach leaves with reference to its structure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the % change in ascorbic acid concentration when stored for 3 days storage at 5 °C and 20 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate how much ascorbic acid will remain after 6 days storage at 20 °C in the same experimental conditions, stating any assumption made for the calculation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   1-\n  </em>\n  1.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   2-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n  </em>\n  ✔\n </p>\n <p>\n  <em>\n   3-\n  </em>\n  8.0 cm\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  <em>\n   5-\n  </em>\n  4.0 cm\n  <sup>\n   3\n  </sup>\n  <em>\n   <sup>\n   </sup>\n  </em>\n  ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award [1] for 2 correct answers\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  0.050−1.000 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  water\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  all samples dissolved «in water» ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  ensures the line is best-fit ✔\n </p>\n <p>\n  line/equation of the line will be used for quantitation ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept any other explanations referring to accuracy.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   Interpolation:\n  </em>\n  9.8\n  <strong>\n   μg\n  </strong>\n  cm\n  <sup>\n   −3\n  </sup>\n  ✔\n </p>\n <p>\n  <em>\n   using equation:\n  </em>\n  0.600/0.06283 = 9.55 «\n  <strong>\n   μg\n  </strong>\n  cm\n  <sup>\n   −3\n  </sup>\n  »\n  <sup>\n  </sup>\n  ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  «ascorbic acid» has multiple −OH/hydroxyl groups ✔\n </p>\n <p>\n  can H-bond with water ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do not accept OH−/hydroxide for M1\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Δ % = «95.5 - 50.0/95.5 × 100»= 47.6 % ✔\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept calculations using line equation\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  assumption: linear decrease ✔\n </p>\n <p>\n  rate «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  =  95.5 − 50.0 / 3 » = 15 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n <p>\n  «95.5 − 15 × 6 = 5.5 «mg 100 g\n  <sup>\n   −1\n  </sup>\n  day\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "structure-2-models-of-bonding-and-structure",
+      "tools"
+    ],
+    "subtopics": [
+      "inquiry-1-exploring-and-designing",
+      "inquiry-2-collecting-and-processing-data",
+      "structure-2-2-the-covalent-model",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "EXM.2.HL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the ratio in which 0.1 mol dm\n   <sup>\n    –3\n   </sup>\n   NaH\n   <sub>\n    2\n   </sub>\n   PO\n   <sub>\n    4\n   </sub>\n   and 0.1 mol dm\n   <sup>\n    –3\n   </sup>\n   Na\n   <sub>\n    2\n   </sub>\n   HPO\n   <sub>\n    4\n   </sub>\n   should be mixed to obtain a buffer with pH= 7.8.\n  </p>\n  <p>\n   p\n   <em>\n    K\n   </em>\n   <sub>\n    a\n   </sub>\n   NaH\n   <sub>\n    2\n   </sub>\n   PO\n   <sub>\n    4\n   </sub>\n   = 7.20\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest, giving your reasons, the effect of diluting the buffer 1/100 with water on its pH and reaction to the addition of acids or bases.\n  </p>\n  <p>\n  </p>\n  <p>\n   change in pH:\n   <br/>\n   <br/>\n   .............................................................................................................................................................\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n  <p>\n  </p>\n  <p>\n   reaction to addition of bases/acids:\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n  <p>\n   .............................................................................................................................................................\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    pH\n   </mtext>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    p\n   </mtext>\n   <msub>\n    <mi>\n     K\n    </mi>\n    <mtext>\n     a\n    </mtext>\n   </msub>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n   </mo>\n   <mo>\n    /\n   </mo>\n   <mo>\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.6 ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 3.98 ✓\n </p>\n <p>\n  Na\n  <sub>\n   2\n  </sub>\n  PO\n  <sub>\n   4\n  </sub>\n  to Na\n  <sub>\n   2\n  </sub>\n  HPO\n  <sub>\n   4\n  </sub>\n  = 3.98:1 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    pH\n   </mtext>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    p\n   </mtext>\n   <msub>\n    <mi>\n     K\n    </mi>\n    <mtext>\n     a\n    </mtext>\n   </msub>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n   </mo>\n   <mo>\n    /\n   </mo>\n   <mo>\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    log\n   </mi>\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.6 ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mfenced close=\"]\" open=\"[\">\n     <msubsup>\n      <mtext>\n       HPO\n      </mtext>\n      <mn>\n       4\n      </mn>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mo>\n        -\n       </mo>\n      </mrow>\n     </msubsup>\n    </mfenced>\n    <mfenced close=\"]\" open=\"[\">\n     <mrow>\n      <msub>\n       <mtext>\n        H\n       </mtext>\n       <mn>\n        2\n       </mn>\n      </msub>\n      <msubsup>\n       <mtext>\n        PO\n       </mtext>\n       <mn>\n        4\n       </mn>\n       <mo>\n        -\n       </mo>\n      </msubsup>\n     </mrow>\n    </mfenced>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 3.98 ✓\n </p>\n <p>\n  Na\n  <sub>\n   2\n  </sub>\n  PO\n  <sub>\n   4\n  </sub>\n  to Na\n  <sub>\n   2\n  </sub>\n  HPO\n  <sub>\n   4\n  </sub>\n  = 3.98:1 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   change in pH:\n  </em>\n </p>\n <p>\n  no «significant» effect as ratio of salt/acid are unchanged ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   reaction to addition of bases/acids:\n  </em>\n </p>\n <p>\n  resistance to change/buffering capacity decreases ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "reactivity-3-what-are-the-mechanisms-of-chemical-change"
+    ],
+    "subtopics": [
+      "reactivity-3-1-proton-transfer-reactions"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/assets/jsonqb/Physics 2025 QB merged.json b/assets/jsonqb/Physics 2025 QB merged.json
new file mode 100644
index 0000000..9fda93e
--- /dev/null
+++ b/assets/jsonqb/Physics 2025 QB merged.json	
@@ -0,0 +1,2272 @@
+[
+  {
+    "question_id": "19M.3.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>In an experiment to measure the acceleration of free fall a student ties two different blocks of masses <em>m</em><sub>1</sub> and <em>m</em><sub>2</sub> to the ends of a string that passes over a frictionless pulley.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: left;\">The student calculates the acceleration <em>a</em> of the blocks by measuring the time taken by the heavier mass to fall through a given distance. Their theory predicts that<em> </em><span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"a = g\\frac{{{m_1} - {m_2}}}{{{m_1} + {m_2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>a</mi>\n<mo>=</mo>\n<mi>g</mi>\n<mfrac>\n<mrow>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>1</mn>\n</msub>\n</mrow>\n<mo>−<!-- − --></mo>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>2</mn>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>1</mn>\n</msub>\n</mrow>\n<mo>+</mo>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>2</mn>\n</msub>\n</mrow>\n</mrow>\n</mfrac>\n</math></span></span> and this can be re-arranged to give <span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"g = a\\frac{{{m_1} + {m_2}}}{{{m_1} - {m_2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>g</mi>\n<mo>=</mo>\n<mi>a</mi>\n<mfrac>\n<mrow>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>1</mn>\n</msub>\n</mrow>\n<mo>+</mo>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>2</mn>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>1</mn>\n</msub>\n</mrow>\n<mo>−<!-- − --></mo>\n<mrow>\n<msub>\n<mi>m</mi>\n<mn>2</mn>\n</msub>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>.</span></p>\n<p style=\"text-align: left;\">In a particular experiment the student calculates that <em>a</em> = (0.204 ±0.002) ms<sup>–2</sup> using <em>m</em><sub>1</sub> = (0.125 ±0.001) kg and <em>m</em><sub>2</sub> = (0.120 ±0.001) kg.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the percentage error in the measured value of <em>g</em>.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Deduce the value of <em>g</em> and its absolute uncertainty for this experiment.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>There is an advantage and a disadvantage in using two masses that are almost equal.</p>\n<p>State and explain the advantage with reference to the magnitude of the acceleration that is obtained.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>There is an advantage and a disadvantage in using two masses that are almost equal.</p>\n<p>State and explain the disadvantage with reference to your answer to (a)(ii).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>error in <em>m</em><sub>1</sub> + <em>m</em><sub>2</sub> is 1 % <em><strong>OR</strong></em> error in <em>m</em><sub>1</sub> − <em>m</em><sub>2</sub> is 40 % <em><strong>OR</strong></em> error in <em>a</em> is 1 % ✔</p>\n<p>adds percentage errors ✔</p>\n<p>so error in g is 42 % <em><strong>OR</strong></em> 40 % <em><strong>OR</strong></em> 41.8 % ✔</p>\n<p><em>Allow answer 0.42 or 0.4 or 0.418. </em></p>\n<p><em>Award <strong>[0]</strong> for comparing the average value with a known value, e.g. 9.81 m s-2</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>g</em> = 9.996 «m s<sup>−2</sup>» <em><strong>OR</strong></em> Δ<em>g = </em>4.20 «m s<sup>−2</sup>» ✔</p>\n<p><em>g</em> = (10 ± 4) «m s<sup>−2</sup>»</p>\n<p><em><strong>OR</strong></em></p>\n<p><em>g</em> = (10.0 ± 4.2) «m s<sup>−2</sup>» ✔</p>\n<p><em>Award <strong>[1]</strong> max for not proper significant digits or decimals use, such as: 9.996±4.178 or 10±4.2 or 10.0±4 or 10.0±4.18« m s<sup>−2</sup> »</em> .</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the acceleration would be small/the time of fall would be large ✔</p>\n<p>easier to measure /a longer time of fall reduces the % error in the time of fall and «hence acceleration» ✔</p>\n<p><em>Do not accept ideas related to the mass/moment of inertia of the pulley</em>.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the percentage error in the difference of the masses is large ✔</p>\n<p>leading to a large percentage error/uncertainty in g/of the experiment ✔</p>\n<p><em>Do not accept ideas related to the mass/moment of inertia of the pulley.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Atwoods machine a) is a quite straightforward question that tests the ability to propagate uncertainties through calculations. Almost all candidates proved the ability to add percentages or relative calculations, however, many weaker candidates failed in the percentage uncertainty when subtracting the two masses.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many average candidates did not use the correct number of significant figures and wrote the answers inappropriately. Only the best candidates rounded out and wrote the proper answer of 10±4 ms<sup>−2</sup>. Some candidates did not propagate uncertainties and only compared the average calculated value with the known value 9.81 ms<sup>−2</sup>.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Q 1 b) was quite well answered. Only the weakest candidates presented difficulty in understanding simple mechanics.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In part ii) many were able to appreciate that the resultant percentage error in “g” was relatively large however linking this with what caused the large uncertainty (that is, the high % error from the small difference in masses) proved more challenging.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-1-3-controlling-variables",
+      "inquiry-1-exploring-and-designing",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student investigates the electromotive force (emf) <em>ε</em> and internal resistance<em> r</em> of a cell.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"196\" src=\"data:image/png;base64,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\" width=\"213\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The current <em>I</em> and the terminal potential difference <em>V</em> are measured.<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">For this circuit <em>V = ε - Ir</em> .<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The table shows the data collected by the student. The uncertainties for each measurement<br/>are shown.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The graph shows the data plotted.</span></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The student has plotted error bars for the potential difference. Outline why no error bars are shown for the current.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Determine, using the graph, the emf of the cell including the uncertainty for this value. Give your answer to the correct number of significant figures.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Outline, <strong>without</strong> calculation, how the internal resistance can be determined from this graph.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">Δ<em>I</em> is too small to be shown/seen<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p><span style=\"background-color:#ffffff;\">Error bar of negligible size compared to error bar in <em>V</em> ✔</span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">evidence that ε can be determined from the y-intercept of the line of best-fit or lines of min and max gradient ✔<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">states ε=1.59 <em><strong>OR</strong></em> 1.60 <em><strong>OR</strong> </em>1.61V«» ✔<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">states uncertainty in ε is 0.02 V«» <em><strong>OR</strong></em> 0.03«V» ✔</span></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">determine the gradient «of the line of best-fit» ✔<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em>r</em> is the negative of this gradient ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Almost all candidates realised that the uncertainty in I was too small to be shown. A common mistake was to mention that since I is the independent variable the uncertainty is negligible.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The number of candidates who realised that the V intercept was EMF was disappointing. Large numbers of candidates tried to calculate ε using points on the graph, often ending up with unrealistic values. Another common mistake was not giving values of ε and Δε to the correct number of digits - 2 decimal places on this occasion. Very few candidates drew maximum and minimum gradient lines as a way of determining Δε.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-2-1-collecting-data",
+      "inquiry-2-collecting-and-processing-data",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.3.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student uses a Young’s double-slit apparatus to determine the wavelength of light emitted by a monochromatic source. A portion of the interference pattern is observed on a screen.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The distance <em>D</em> from the double slits to the screen is measured using a ruler with a smallest scale division of 1 mm.<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The fringe separation s is measured with uncertainty ± 0.1 mm.<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The slit separation d has negligible uncertainty.<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The wavelength is calculated using the relationship  <span class=\"mjpage\"><math alttext=\"\\lambda  = \\frac{{sd}}{D}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>λ<!-- λ --></mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>s</mi>\n<mi>d</mi>\n</mrow>\n<mi>D</mi>\n</mfrac>\n</math></span>.</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">When <em>d</em> = 0.200 mm, <em>s</em> = 0.9 mm and <em>D</em> = 280 mm, determine the percentage uncertainty in the wavelength.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Explain how the student could use this apparatus to obtain a more reliable value for λ. </span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align:left;\">Evidence of <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{{\\Delta s}}{s}{\\text{AND}}\\frac{{\\Delta D}}{D}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>s</mi>\n</mrow>\n<mi>s</mi>\n</mfrac>\n<mrow>\n<mtext>AND</mtext>\n</mrow>\n<mfrac>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>D</mi>\n</mrow>\n<mi>D</mi>\n</mfrac>\n</math></span> used   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span><span style=\"background-color:#ffffff;\"><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">«add fractional/% uncertainties»<br/></span></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">obtains 11 % (or 0.11) <em><strong>OR</strong> </em>10 % (or 0.1) ✔</span></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 1:</strong></em><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">measure the combined width for several fringes<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">repeat measurements ✓<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">take the average<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">so the «percentage» uncertainties are reduced ✓<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2:</strong></em><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">increase <em>D</em> «hence <em>s</em>»<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">Decrease <em>d</em> ✓<br/></span></p>\n<p style=\"text-align:left;\"><span style=\"background-color:#ffffff;\">so the «percentage» uncertainties are reduced ✓</span></p>\n<p style=\"text-align:left;\"><em><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Do not accept answers which suggest using different apparatus.</span></span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>A very easy question about percentage uncertainty which most candidates got completely correct. Many candidates gave the uncertainty to 4 significant figures or more. The process used to obtain the final answer was often difficult to follow.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The most common correct answer was the readings should be repeated and an average taken. Another common answer was that D could be increased to reduce uncertainties in s. The best candidates knew that it was good practice to measure many fringe spacings and find the mean value. Quite a few candidates incorrectly stated that different apparatus should be used to give more precise results.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-3-2-evaluating",
+      "inquiry-3-concluding-and-evaluating",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>A beam of electrons each of de Broglie wavelength 2.4 × 10<sup>–15</sup> m is incident on a thin film of silicon-30  <span style=\"background-color: #ffffff;\"><span class=\"mjpage\"><math alttext=\"\\left( {{}_{14}^{30}{\\text{Si}}} \\right)\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mo>(</mo>\n<mrow>\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mn>14</mn>\n</mrow>\n<mrow>\n<mn>30</mn>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Si</mtext>\n</mrow>\n</mrow>\n<mo>)</mo>\n</mrow>\n</math></span></span>. The variation in the electron intensity of the beam with scattering angle is shown.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcsAAAFKCAYAAABy7nQ6AAAgAElEQVR4Ae29DZRU1Zku/NJmGM0QTIiZa7U4shQbzYUMI0gS5V4aMN0yamDh343RxtuofFdFo1doQIwafiLClSDEMZLugJjEv2Yw0cEGG2EGMpE0ikMy0C0rS2Nb7UQhAj2iZLrPt95Ttat27a6qd1f3rqpzqp+zFpy9z372+z772adrn7P/zgDP8zzCAQWgABSAAlAACmRUoCxjChKgABSAAlAACkABXwE0lrgRoAAUgAJQAAoICqCxFARCMhSAAlAACkABNJa4B6AAFIACUAAKCAqgsRQEQjIUgAJQAApAATSWuAegABSAAlAACggKoLEUBEIyFIACUAAKQAE0lrgHoAAUgAJQAAoICqCxFARCMhSAAlAACkABNJa4B6AAFIACUAAKCAqgsRQEQjIUgAJQAApAATSWuAegABSAAlAACggKoLEUBEIyFIACUAAKQAE0lrgHoAAUgAJQAAoICqCxFARCMhSAAlAACkABNJa4B6AAFIACUAAKCAqgsRQEQjIUgAJQAApAATSWuAegABSAAlAACggKoLEUBEIyFIACUAAKQAE0lrgHoAAUgAJQAAoICqCxFAQqVPLx48epvb29UO7gBwpAASgABXJQAI1lDmLlE7py5Uo688wziRtNHFAACkABKBAsBdBYBqA+9u7dS5s2bfKZcKOJAwpAASgABYKlABrLItcHv0k+8MADpBpJbjS58cQBBaAAFIACwVEAjWWR6+K5556jiooKuvjii30mTzzxhN94oju2yBUD91AACkABTQE0lpoYhQ62tbXRmjVraN68eQnXo0eP9htPbkRxQAEoAAWgQDAUGOB5nhcMKv2PxdKlS+m8886j6dOn+4UfMGAAcXUcPnyYLr30Utq9e3f/EwUlhgJQAAoEUAE0lgGqFNVYBogSqEABKAAFoAARoRsWtwEUgAJQAApAAUEBNJaCQEiGAlAACkABKIDGEvcAFIACUAAKQAFBATSWgkBIhgJQAApAASiAxhL3ABSAAlAACkABQQE0loJASIYCUAAKQAEogMYS9wAUgAJQAApAAUEBNJaCQEiGAlAACkABKIDGEvcAFIACUAAKQAFBATSWgkBIhgJQAApAASiAxhL3ABSAAlAACkABQQE0loJASIYCUAAKQAEogMYS9wAUgAJQAApAAUEBNJaCQEiGAlAACkABKPAZSBAsBR5++GGaO3cu8VkdKh6JRKijo0NdTjmbGBVPAcUjyo6JUXGVni6vwqg0M66u81nZMTEqrtL1PCpsYlRcpetnZcfEmHE9jworTCYbCsfnTBjThp5HhU2Miqv0dGcTo+KKR7Y8CqPypMNmwqg8Kj1dXoVRaWZcXeezsmNiVFyl63lU2MSouErXz8qOiTHjeh4VVphMNhSOz5kwpg09jwqbGBVX6enOJkbFFY9seRRG5UmHzYRReVR6urwKw2kcLumDP/6MIxgKEPG3nzMfTz75ZObEeIoLjI2NZcuW9ZmLjR8XGBdcubASFyndxgZjJL6u/Eh2pHQbrjZltvHjAiPpasPVBuOCq422rvxIdqR0G66MCfuBbtiSfhRC4aAAFIACUMCFAmgsXagIG1AACkABKFDSCqCxLOnqReGgABSAAlDAhQJoLF2oCBtQAApAAShQ0gqgsSzp6kXhoAAUgAJQwIUCaCxdqAgbUAAKQAEoUNIKoLEs6epF4aAAFIACUMCFAgN47YsLQ7DRdwUGDBhATz75JN1www20YcOGhEEznkjQAibGjGvQRNDEmPEEUAsoDG+OwIuVVVyD9AiaGDPeIwNRD7t9yaO45ttPOvvqmsnfjCscnxVfE2PG9TwqbGLMuMLpZxNjxnWsCitMJq4Kp59VHnXNjKvr+tnEmHEdq8ImRsUVV4XTzwqjrklxxkkYMz3XPIqvaUeK5+rHtsymX5WPz8wVmxKEfSVpiPhjU4KelWWzIFrCYDF6T135iqSblM42XGhr48cFxgVXV7rZlEfia2PDBcbGhsQ1/R0Yrqt4s9Qfj4oc5jdLvOgXuRLgHgpAASiQRgGMWaYRJaiX9K7ZTBxdYGxs6HvX9paLjR8XGBdcuYwSFyndxgZjJL6u/Eh2pHQbrjZltvHjAiPpasPVBuOCq422rvxIdqR0G66MCfuBxjLsNQj+UAAKQAEokHcF0FjmXWI4gAJQAApAgbArgDHLANUgxiwDVBmgAgWgABTQFMCbpSZG0IM2YwcuMDY2XIz/2PhxgXHBle8NiYuUbmODMRJfV34kO1K6DVebMtv4cYGRdLXhaoNxwdVGW1d+JDtSug1XxoT9wJtlgGoQ6yyTlWGu6TLjSWQyZGJUXK1XSyKTIYVRV8y4uq6fTYwZ17EqbGLMuMLxWfE1MWZcz6PCJsaMK5x+NjFmXMeqsMJk4qpw+lnlUdfMuLqun02MGdexKmxiVFxxVTj9rDDqmhRnnIQx03PNo/iadqR4rn5sy2z6Vfn4zFyxzjJcS2FCzRbrLHtWn80aLwljswZMssHMJIyUbmODMRJfV34kO1K6DVebMtv4cYGRdLXhaoNxwdVGW1d+JDtSug1XxoT9QDes/niEMBSAAlAACkCBNAqgsUwjCi5BASgABaAAFNAVQGOpq4EwFIACUAAKQIE0CqCxTCMKLkEBKAAFoAAU0BVAY6mrgTAUgAJQAApAgXQKhH2GUinxl2bDBqmsNjMLg8I3TFxZszDxBdf83eVh0jZ/KgTHMt4s0z1BBPSazeJgFxgbGzYSSXakdPbhCiPxdeHHhQ2Jp0tNJL5Sug1XG742flxhJM4u/LiwIfG00dUVxqY8Nhs+2JQpyBhsShCg2sGmBMnKMBdAm/EkMhkyMSquFncnkcmQwqgrZlxd188mxozrWBU2MWZc4fis+JoYM67nUWETY8YVTj+bGDOuY1VYYTJxVTj9rPKoa2ZcXdfPJsaM61gVNjEqrrgqnH5WGHVNijNOwpjpueZRfE07UjxXP7ZlNv2qfHxmrtiUIDhvwSXPROqGtVkc7AJjY8Omi0iyI6VzhbvAuOBqw8UFV/Yj8XXlR7IjpdtwLaRuEl9JVxuuNhiJh40Nxkh8XfmR7EjpNlwZE/aDPzaMIyAKSI1lQGj6NKQ/ZHDtvQLQtvfaZcsZJl25HGHjm037UkjDmKXelxDwsM3YgQuMjQ0bqSQ7Ujr7cIWR+Lrw48KGxNOlJhJfKd2Gqw1fGz+uMBJnF35c2JB42ujqCmNTnv4wZonG0uauBAYKQAEoAAX6tQJoLPt19aPwUAAKQAEoYKMAGksblYDpoUCYZr6FiSsLHSa+4NrjT8PZhTBp66zQATaExjLAlRNkamEaowgTV67zMPEF1/z9lYZJ2/ypEBzLaCyDUxdgAgWgABSAAgFVAJsSBKhisClBsjLMBdBmPIlMhkyMiqvF3UlkMqQw6ooZV9f1s4kx4zpWhU2MGVc4Piu+JsaM63lU2MSYcYXTzybGjOtYFVaYTFwVTj+rPOqaGVfX9bOJMeM6VoVNjIorrgqnnxVGXZPijJMwZnqueRRf044Uz9WPbZlNvyofn5lryXcbl8L6l1Ipg7TO0mZxsAuMjQ2bNWCSHSmd69UFxgVXGy4uuLIfia8rP5IdKd2GayF1k/hKutpwtcFIPGxsMEbi68qPZEdKt+HKmLAf6IbVH48QtlYgTE+RYeLKFRAmvuBq/SeTMxDa5ixZXjOgscyrvKVrPEyTD8LEle+YMPEF1/z9jUPb/GnbG8uf6U0m5CmuAvzE+Td/8zdUVVVFFRUVxSUD71AACkCBfqAA3ixDWMlTp06lN998k0aMGEHTpk2jLVu20PHjx0NYElCGAlAACoRDAcyGDVA98WxYz/OsGR0+fJhefPFFWrNmDf3mN7+h1atX423TWj0AoQAUgAL2CuDN0l6roiPNDY2HDBlCNTU1tHv3btq5cyf94Q9/SLxt7tq1K+PbpmnHLJiUznib8RTJjpTOflxgXHC14eKCq422rvxIdqR0G66F1E3ii/uAa6PnIekmpbNFG217eg7XFbxZBqi++M1y2bJl/mzIXG8+HsfkPEeOHKHf/e53FI1G/bVPF110EZ1//vn02c9+tkdJVR6VYMbVdf1sYsy4jlVhE2PGFU4/mxgzrmNV2MSYcYXTzybGjOtYFTYxZlzh9LOJMeM6VoVNjBlXOP1sYsy4jlVhE2PGFU4/mxgzrmNV2MSYcYXTzybGjOtYFTYxZlzh9LOJMeM6VoVNjBlXOP1sYsy4jlVhE2PGFU4/mxgzrmNV2MRIcZVPnRlf0kfY176UEn+X6yw//vhjr6mpyZs6dSr363pLlizxWltbfbmkdVNSOhuR1oAxRrIjpdvYsMG44Grjx1V5JL6u/Eh2pHTWROJaSN0kvi64FrI8El+pvDZcbTA2fiSu7CfsB7phS/RR6JRTTvHHLzdt2kRvvPEGffTRR34X7c0330xvvfVWiZYaxYICUAAK5EmBsLf2pcRferPsa1nfffddb/Xq1f6bJr9x8psnv4H25gjTk2SYuHJdhIkvuPbmr8cuD7S106lQKLxZ5ukhJB9mbQbas2GGDh1Kt99+Oz322GM0ffp0WrhwIU2YMIE2btyYMhkom41cyiXZkdLZlyuMxNuFHxc2JJ4uNZH4Suk2XG342vhxhZE4u/DjwobE00ZXVxib8tjwDTsGjWXYa7AX/AcNGuTPot2xYwfNmzePHnrooUSjyctRcEABKAAFoECqAmgsU/XoVzEe1+Q3TNVoPvnkk/TFL36RXnnlFUKj2a9uBRQWCkABSYFC9ffCj6xAvscsZQaet3PnzsQMWh7fPHToUNpsGE9JK4uTi9DWiYw9jIRJVyYfNr49BC+xC3izlJ4mApRuM3bQV8zFF19MV155pb/JAb9h8psmv3H2Zjs9iYuUztK7wkjV6MKPCxsST5eaSHyldBuuNnxt/LjCSJxd+HFhQ+Jpo6srjE15cl0XblO+oGGwKUGAaiSIH3/mZSYvvfSSv/Tk8ssv98c3n3/++YwfKE4np/nRWDOe7zzqI7r59pPOvrpmltmMKxyfFV8TY8b1PCpsYsy4wulnE2PGdawKK0wmrgqnn1Uedc2Mq+v62cSYcR2rwiZGxRVXhdPPCqOuSXHGSRgzPdc8iq9pR4rn6se2zKZflY/PzBWbEpTYq3SQiyN1w9osDnaBMW3w8pLGxkbvwgsv9P9xePHixaKUph0zg5TOeBcYm+4sF35c2OAyS3xd+ZHsSOk2XG3q0MaPC4ykqw1XG4wLrjbauvIj2ZHSbbgyJuwHb9yNIyAKSI1lsWnqjeaXv/xlf3yz2Jxs/Nv8SNrYKRQmTHzBNX93RZi0zZ8KwbGMMUu9LyHgYZuxAxeYTDb02bPnnnsujR8/3v9EWFtbW1rlMtlRYCmdca4wymemsws/Lmxk4qdfd+VHsiOl65yyhSU7UjrbdoXJxtOVnzBxtSmzTXn6w5glGkvprwfpPRTgRpM3aD906BCNGzfO30aPxyuw3KSHVLgABaBAiSiAxrJEKrIYxeBPhC1YsIBaW1vpT3/6U59mzhaDP3xCASgABWwVQGNpqxRwKQroM98qKipo7dq1/nIT/hA1b6G3ZcuWFHwxIzrXYvKw9R0mvuBqW6u548Kkbe6lC18ONJbhq7NAME43RsFrNNVuQNXV1VRfX0+ZxjMLWYh0XAvpP1dfYeILrrnWrj0+TNralyq8SDSW4a27QDJXk4B4PJP3oB0xYgTx22ZvNjUIZAFBCgpAgX6pADYlCFC1B3FTAlMetTA504JpE//OO+9QS0sL7du3z98ZaNSoUT0Wc5t5OK78qDQzrq7rZxOj4oqrjlVhhckUV9f1c77zKL759qPK1Bc/mbgq2/q5L36UHdOGuq6fTYyKK646VoUVxjbOuHznUXzz7ce2zCYPlY/PzLXku42Ds4oFTKR1ljaLg11gbGzYrAFTdnh95vr16/3vaM6ZM8fj72ryodKz1bwLTC5c+8LFBVf2L/F15UeyI6XbcGWMZEdKt7Fhg5F0tbFhg3FVHomvKz+SHSmdNZG4MibsB94s9cejIof5zdLzuE0pzaO9vZ0efPBB+vGPf0yNjY3+F09Ks6QoFRSAAqWmAMYsQ1SjNouDXWBsbNhMPjDt8MenedYsN5T8Dc3KykriBjTbYdpIh5UwveHaGz8SD7Zpg5H42thwgbGxIXG1KbONHxcYF1wLWR6JrwtNXJVH4sp+wn6gsQx7DYaQP39D8+WXX/YnAJ155pm0cePGEJYClKEAFOhPCqCx7E+1HaCy8oYG1157LTU1NflvmTfffLP4lhkg+qACBaBAP1MAY5YBqvBSH7PMJDVvk8fdssuXL8dYZiaRcB0KQIGiKoA3y6LKn5vzsI1RSHxVOr9l8pgHv2Xyh6f5LVPtM6sw2ZSSMDbjKZIN9i9hpHQbG4yR+LryI9mR0m242pTZxo8LjKSrDVcbjAuuNtq68iPZkdJtuDIm7AfeLANUg6W4zpLlNddnmXG9CriR/Md//Ef6+OOP6dJLLyX+ukk6G3oeFTbtqrhar6Zw+llh1DUzrq7rZxNjxnWsCpsYM65wfFZ8TYwZ1/OosIkx4wqnn02MGdexKqwwmbgqnH5WedQ1M66u62cTY8Z1rAqbGBVXXBVOPyuMuibFGSdhzPRc8yi+ph0pnqsf2zKbflU+PjNXrLMM++KYEPEv1XWWmaog2/ottS7zqquu8nidZrYjmx3OZ7MGTLLBdiSMlG5jw4avKz+SHSndhqtNmW38uMDgPuDa6HlI2krpbNFG256ew3UF3bD64xHCgVGgpqbG/5rJ66+/Tt/61rcw+ScwNQMiUKB/KoDGsn/WeyhKzV8z4U+A8ZmXmATpSyahEBAkoQAUcKYAGktnUsJQPhQYOHCgP+GFNzLgL5ksXboUm7LnQ2jYhAJQIKsCaCyzyoPEoCjAGxnwR6Y3bdpEd9xxB7plg1Ix4AEF+okCaCz7SUWXQjG5O5Z3/uGDG8+9e/eWQrFQBigABcKgQLjmI5U2W2k2bJBKX+zZb6tXr/a/YtLY2CjKUmyuIkEDECa+4GpUnsNomLR1WOzAmsKbZRieaOIcbRYHu8DY2LCRTbIjpbOPTJjbb7+ddu7c6W9icPXVV/d5HDOTH72cEkZKz1Ye3Y8UduVHsiOlSzxVumRHSmc7rjCKU6azCz8ubGTip1935UeyI6UzJ5sNH3TuYQxjU4IA1Ro2JUhWhrkA2owr5Pvvv0+PP/64P1uWN2R/6aWXVFJi0bha3J1I0AKmXTOuQRNBE2PGE0AtYGLMuAbFpgSaGKZOZlyDJoImRsX7ch8oGwkn2JRAlwKbEgT2fbhEiUndsDaLg11gbGzYdBFJdqR0rmYbzA9+8APvpptu8i688MLEh6X1W8QFVxsuNlxtMBJfGxsuMDY2JK6F1E3i64JrIcsj8ZXKa8PVBmPjR+LKfsJ+4M0y5fmouJH+upG6C9WPHz/uz5J988036YknnqDRo0e7MAsbUAAKQAFfAYxZhuhGsBk7cIGxsWEzRiHZkdK5amwxp5xyiv9had755+/+7u9o165diZp1wdWGiy3XBLEMAYmvKz+SHSmd6UtcC6mbxNcF10KWR+IrldeGqw3Gxo/Elf2E/fhM2AsA/lBAV4An/gwePJjGjx/vf8WkqqpKT0YYCkABKNArBdBY9ko2ZAqyAvx2ec455/gN5urVq4NMFdygABQIiQIYswxQRWHM0m1lcFcsv2Fyg8lvnDigABTIjwLcDVvqn+jCmGV+7p28WLUZO3CBsbFhM0Yh2ZHSWcS+YC6++GJ/Lebs2bNpzZo1WeukL36UYRc22JakrSs/kh0p3YYrYyQ7UrqNDRuMpKuNDRuMq/JIfF35kexI6axJfzjQWPaHWu7HZeQGc86cOfTkk0+KDWY/lglFhwJQQFAA3bCCQIVM5m7YZcuW+d0Z0lOlyYu7QPQ8ZtzEc9zEmPFSynPkyBG/wRwzZgxddNFFiaKZZTbjCaAWMDFmXIMmgibGjCeAWsDEmHENmgiaGDOeAGoBE2PGNWgiaGLMeAKoBUyMGdegiaCJMeMJoBYwMWZcgyaCJsaMJ4BawMSYcQ2aCJoYM54AagETY8Y1aCJoYsx4AqgFTIwU17L6QcaX9BH2haKlxB+bEvSsTZsF0RJGLZh+9913/Y0LeF9Z85BsMF7CSOk2Nhij+JocVdyVH8mOlG7DlTGSHSndxoYNRtLVxoYNxlV5JL6u/Eh2pHTWROLKmLAfeLMM0KMQJvjkvzL4SyW8DhOTfvKvNTxAgVJSAGOWIapNm4F2FxgbG3qXbyYJJTtSOtt1gdG58s4+vAG7OenHhR8XNrjMOt902rryI9mR0m242tShjR8XGElXG642GBdcbbR15UeyI6XbcGVM2A80lmGvQfDPWQF9lqy+00/OhpABCkCBfqMAGst+U9UoqK4AN5hNTU3+Okw0mLoyCEMBKJBOAYxZplOlSNcwZll44Xn9JS8r4c97DR06tPAE4BEKQIFQKIA3y1BUU4ykzdiBC4yNDRfjPzZ+XGCyceWdfSorK2nChAl0+PDhrHeDxEVKZ+M2mGx8bW3Y+JEwUjpzkbja8LXx4wLjgmshyyPxdaGJq/JIXNlP2I+Avll+Qm0NNTTimUupdXMtVThr0o9S29Z1tC5aRYtnnEfOzDq6C/jNkt9yzA/NmvF07kyMGXedR31IN99+FO+++FFclS39zHbr6+sTjdjmzZvp+eef1yE9wiYXM94jg8WHgvU8iq9p14zreVTYxJhxhdPPJsaM61gVVphMXBVOP6s86poZV9f1s4kx4zpWhU2MiiuuCqefFUZdk+KMkzBmeq55FF/TjhTP1Y9tmU2/Kh+fmSvWWRZlccxxr7X+ao+q6r3WLocEjjR7cyMRr6p+v+fSrCuGWGfZU0mbNV4SxmYNGH9Amj8enW4NpmIl+ZHS2Y4NRuJrY8MFxsaGxNWmzDZ+XGBccC1keSS+LjRxVR6JK/sJ+4GvjuiPRwj3WwWGDBnifzSa12BWVFQQPu3Vb28FFBwKpFWgSD2RJ6hjzwaqm1hO3PU4YEA11TVso7bO7rQkYxft8nR37Kb1ddVxu6NoxoqmmN2j26juvMn0cEcHbZl5Pp1UvoC2Hf0jbasbSwMm1tHaFTOonLn415nHUWrb1pCF44exvNU/pG27tbKUz6AVW9uoM0tJkBRMBXgNZmNjI1VXV1N7e3swSYIVFIACRVGgCI3lCXpv49005opX6PRle6jL88g79v9oxI47qfLOTfRe2vbSLk/3exvp5jHTaB3NotZjXeQd+zlN2HdPzO6gSbTsQDPNjUSoqn4/dUWX0qTB8eJv/yfaOWQOtXmfUnT7LBo3uJMONNxFldfvSHDsin6XTt9xJ424YhXt0Rv1LUtoUeNf0cxftpPH+Z86m16qupse3/NRUSoUTvumwPTp0/2N1x988EE6fvx434whNxSAAiWjQOEby6M76dHbN9KoxfPpznGR2CSbQSOpdvUqumHzUnp0+4c9xbXK8wkdbHqaGuhGuu/eaVQxqIxo0JfpqhlXEDU8TU0HP+lpV12JXEEzrvoyDaKBFKk4iwYdbaGfLNxNU9Z8L8GxLHIx3bV6Fc1tXU4Lnm2jRJse0fxx/rH/g8ZFXqetb76fxCg/OIdCgXnz5tGbb75Jzz33XCj4giQUgAL5V6DAjWU3HW15hTZ0lNPoYaelzkYdVE4jRkVpQ9O/0dGUclvm6X6bdj6zk2jUcBrKDaV/lNHgSUsp6j1LtRUnp1jNHFH+zqeLR/63NByJ9rVGM3ez+uUQMJmdIyUACqjxyxkzZlBbW1sAGIECFIACRVegsDOUurwjzfO9CJHHMz/T/YvMbfaOePpsWMs8Xfu9+qpI9hm0PWbDfuA1zx3jUWS+13xEzY+N+6arvfrW46nypPhIl9fzvDgmVo7U7FJMmg0r5S9kephmv/WW65IlS7ypU6d6H3/8cSGlDdUXHHqrbUEFjTsLE1emHDa+xajTQvpUr2AFbrSvpvrW4+TxeKXxL7psEg1Oy6Y3edIaEi4OpNOHDadIFlRk9DA6vQjKBWkRchZ5EkkSXymdDbnCJEhlCKTzc9ddd1E0Gk10x6bD6OakdNvy6DbThV35kexI6em4pbsm2ZHS2aYrTDp++jUXflzY0DllCrvyI9mR0pkfNiXIVEt9ue7PSr2TPlzzIq2dflaym7NzN6244jraesOLtLl2GB3UNyXo5JmslnkWDqfmA4sTk3e62xpoyoiFRPXbaPNVUZp/3vW0d/E22lzLmxLwjNZLafKGqpQ8lImjf13lP422p8vbfYAapkyihaOfogMZG/70AmJTgqQu5gJoM55EJkMmRsXV4u4kMhlSGHXFjL/11lu0aNEi+sEPfkDcPcuHiTHjypZ+NjFmXMcqvibGjOt5VNjEmHGF088mxozrWBVWmExcFU4/qzzqmhlX1/WziTHjOlaFTYyKK64Kp58VRl2T4oyTMGZ6rnkUX9OOFM/Vj22ZTb8qH5+ZKzYlcP6e+6nX3nibF4nUeI+8Fo1tDnBsv9c4t8qjyke8lmPcHap3wzIBmzye1xXd4s2vPMernL/Fi7KZrnaveb5m1+8iPSe2KcF/HvOOdWXoSvWOePvraw2O+7z6mpEaxwx589gNG7ZFyBJfKZ1r3gXGpjsrm585c+Z4/C8bxhVXtiPxlXi44mLjR+Jqw8XGjwuMC66FLI/E14UmrsojcWU/YT+4G7QIxxGvtbnem1sZiY9bjvRqljd6LdFP41zMxpIvS3liWbuir3nruOH1x0QjXuXcJzW7n3rR5ge8Sj+NxyT/kGbMUslh+qvy5tY3e61+Y86YwjeWihnOhVWgtbXVv5/eeOONwjruR97effddb+fOnR5rzWEcUCBoChSpsQyaDMHgI03wCduTpMRXSudacYGxeeqV/PA2eBdccEHWG0WyYWL8UEoAACAASURBVFseia8rP5IdKZ3LI3GVynzo0CHvsssu8x9GeDIVbznIfwcc1h9ObLhImL5yVZUv+ZHSJU2UH4mvKz+SHSmd+UpcVZnCfC7CNBW9pxthKBAOBa677jr66KOP/E95hYNx8FnyLkmXXnqpT/TQoUO0adMm2r17N3GYN4fgrQf5E2o4oEAQFMDesEGoBXAIvAI8uefyyy+nhx56iKZMmUKnnHJK4DkHmSA3lNwg1tTU0KmnnpqYPMWcWWu+/rWvfY2uv/56vxiMwQEFiqlAQD/RVUxJiucbH38unvY2nnn7u29961t0ySWXEH8HE0fvFFA68ob10pIDblTPPPNMWr9+vd+A9s4jcuVbAa7HUp8Ni27YfN9FDu3brHdygbGxIf3IcbElO1K6jQ0bjAuu7Ie/c/nAAw/Q7Nmz02607qo8El9XfiQ7UjprInFNVz8rV67016/y/rvp0v2L8f+GDh1KO3fuJN5Nae/evXpSj7DEtzdcezgp4H0t8ZXKy9xdYGxspNOp1K6hsSy1GkV58qoAf5lkzpw59Oijj+bVT6ka5wbv3nvv9T+HZtuVffHFF9NVV11Ft9xyCza3L9UbIwTlQjdsgCoJmxIkK8NcAG3Gk8hkyMSouFrcnUQmQwqjrphxdV0/T5w40e8avO++++jcc8/tsThdx6qwadeMKxyfFV8TY8b1PCpsYsy4wulnE2PGdawKK0wmrgqnnznPmDFjKBKJ0LXXXpuTbidOnKClS5cS76okjV8qbsq3iiuu6rp+Vhh1TYozTsKY6bnmUXxNO1I8Vz+2ZTb9qnx8Zq6l3g2LpSMBmsuMpSM9K8Nm2rqEsZnWLtlgZjpm/fr1/jIHfd9YPb1nSWJXbDASXxsbLjA2NiSuum5NTU3+shBeLqIfNn4Yw+sw+W+E12KmOyQ7uXBNZ19dk/xI6WzHBiPxtbHhAmNjQ+KqtAvzuUhvlp9QG29nZ2xNpz+ppA13ttHWx5+j6Df/L82w/opIWku9uGhyJups20qPrztE31x8HVU46NDGBJ9eVEuRsvAklQkTJvgTfXjmJo7sCii9WKu+TI66+eab6Qtf+ILVWGl2RkiFAjkqEJ6WXn19JM3XQIpSiPgOPlX1Xqv6YEkfeeDNsqeANk+1EsbmqVeywcxMjHrTUTvOmOk9S9PTRjqMxNeVH8mOlM7cJa5Kt8bGxrRvlSo9nQ76NcUl225KCqPn08O2XPU86cKSHymdbdpgJL42NlxgbGxIXNPpGLZrDt6HcmydAYcCJaIATzzhyT5qVmeJFCsvxeD1qatXr05ZT9kbR7zchDXnWck4oEAhFShSY8ldmtfQgPIFtO1oN/lf+Sgvp+q1W2n3+jqaOGAAcZdk+YyVtLWNPwXdTUe3LaTzJn+fOug5mjniFCqv2xb/SPQJ6tizgeomlvt5BgyoprqGbdTW2R3Xkb8sMpYGVP+Qtu3WcOUzaMXWNu0jzkepbVuDZqecJtY10DbfP5vSOf8x9rWSh/cQbZlJI04aS/937aM0s3ws1W370Ki/mP8kXyMZ0VArMG/ePPrxj39MW7ZsCXU58kmev9zym9/8hngXJBcHa/7CCy/Qrl27XJiDDShgp0BxXoXjG6Wrjy77H2Xmj0FXeXMb93vHmJT5xRAvXTdsuq+RxL4OEqlt9Nr97tF4dynxpuqN8Y3Q1Ybql3nLW/7EzrxjLY94lZFar37/kZgkyn+im9XgrDZST6TH/CT9xpX1yzbGm9v8gSi11A0rGgCgKApwFyPvaWpOXCkKmQA65X1eeW9dlwfbY7s4oEChFCjSm2X6hjwyt47unX4eDeLksgiNvWQMRbb/K70ZPZE+w9Gd9OjtG2nU4vl057hI7NuYg0ZS7epVdMPmpfTodu0tL3Ij3XfvNKoYxEUeSJGx/4PGRV6nrW++T910gqJv/ittH3Uxja+If3q67AyatLSJvKZay8k7Q2jcNd+mEQ1PU9PBT+J8u+loyyu0gaqoemzsW4jpC2J31WZxsAuMjQ1pwTSXSLIjpdvYsMG44JrND29/V15eTrNmzWJY1sOmzBJfGxsuMDY2JK5tbW3+W+C0adMy6mLjx8TwW6r5dmliTIcSV8ZLNmwwLmywH4mvKz+SHSndhitjwn4EYzYsbae68ybThhuaUz6YHPtw82M0uvllWjZpSLwr9iAtbn2SaisGxuNb6AY//bRkXaR8gPkr1CJ+pLmSyvasoivG/pTGNa6kauqioVX/M96wKrPmbNjDsa7YvbdS6+Z4g+r7vZyeuZY/YJ38uPT19HBKuZRF84x1lklFzDVdZjyJTIZMjIqr9WpJZDKkMOqKGVfX9bOJ4fjy5cv9dWb8oeizzjpLh/vhdHky/QgpvrnkUQ4LnScTV8XnF7/4hb+RQLp1lSZXlUc/mxg9zjv7vPLKK7RgwQIaOHBgIpuO4YsqrrgmgFpAYdQlKa7bzVcexVfiYqYXgpsqszozV6yzzMs7rtGlGe+Gjcxt9uKdoL7XrtZ6r4pUF6bZDavi3H2b/l/Mnu13J7u8Y62veo31c+PfuySPKud69c2tsW5h9UFq1XXcoxuWKatu4fle85Euz/PLpbp6ZSGlblibWWkuMDY2bGa/SXakdFbMBcYFVxsuV111ld81qK+9NGvdpjwSXxsbLjA2NrJx5W5pvqcXLVpkypASt/GTDsM6c/c3d4PzkQ6jO8rGVeEkGzZ+XNhgPxJfV34kO1K6DVelb5jPRdqUwGVjKS0lsW0sU6uxK9riNS6v8SKJxtrgnLax5G9UN3tzI9zA/4d3pHm+F0mMaabaTxeTGst0eYp1TfpDLhavdH4LxVX9ePOGBX05CsW3LxxV3mxcWYd8jyuq8eJsDyg2XBUmSOds2gaJJ3MJE9feaheoMUv1Sm93LqPBYy+hGyL7addv/4PU3Fc/b+duWjFxOFU3HEi9bmfYR5VFxtD0W2bQDZEo7X37Q3s7gy+ga+4+nTb89Gl65qUdNOrai2i4I5UzddvpxXKBsbGh+8wUluxI6WzXFSYTR3XdhR/eaP2JJ57wN/3msbp0h42fdPn0azY2XGBsbOi8zDB/i5I3IZDsSOlsNxOGx4v52Lx5c0aMyStbPJMfPY+EkdLZlg1G95kubGPDBcbGRjp+pXbN0c94IWQpo0FDh9Mo31U3fdz5MXUPHk93rJlAm2//Lq3a3RFr0DoP0MZF99Ecuo2WXlMRm/Qj0osvC5m4gDYmloocpbZXXqHdNJ1mVZ+dxs4gGjri7LjlT6iz87/i4c/T331zOo1quJNueeQMunb8sDR5RUIAhFQBtdE6j9/wrjX99eBlHbxcRDVm+dKBN2NfvHix/53Rzs7OfLmBXSgQrt/xsuHVVDf/CM0c8Vf0V1c+TQe7B9IZ05fS9qcm0Pt1Y+gkXp/5uavphS/Nopaf3UZj/JmvNrV8MlXcuIpaZg+hFypPja/XPJUqXxhCs395L007Izl5IGntZBo+5Waaf2IhjTjpbLry2YOJt8+y4ZNpVu1IoqpLafzwk5NZEOoXCvA6wGg0Ss8991y/KG+6QvJMVd6EwPbLIuls2F6rqqryZyP/+te/ts0CHBTIWYHP5JzDSYaTqaL2WfJqlbFJtCzq0TIVjZ/LKmqpKQkiUss5lurAwVQxqZaW8T/9ciJ8Gk1a1kKemVh2HtU2RSlBoSxCY6bfQ+v5XyKvHjA58+qWb9DSV6OUQsfPcpw+av9Lqp012VkXrM4E4WArMGTIEP9tp7q6mr72ta8R7zrTn47Dhw/7s4NbW1sLVmze1Wf8+PHE38pk/XFAAdcKhKgb1nXR82XvBHVsf4Y2nPg23Vp1Zrhe3fMlST+0y287/APeH7tjt2/fTlOnTi3oQwJvPXjZZZf53bH98HYrepFLftkIL/0vusolRIDXhVYP+EsqX/Qpzf7RzBy6gUtIBBQloUB/7Y598skn6dZbb03oUKgAfwWG17tmmlxVKB790Y+0gUIpaFKkTQlKQTr3ZeBNCZYtW+a/jeR68/GTnZ7HjKdja2LMOPKkU4B61E823fiHu76+nrhLctOmTQmD2fIokIkx4wqnn02MGdexKmxizLjC6WcTo+I8Vrtq1Sq6//776bOf/ayeJSfdVEZlN1NcXVfnX/3qV37woosuUpd6+E0kaIFc/XDW/pbHLK8mnx/k9JI+ervmBPncKyCts7RZHOwCY2PDZl2VZEdKZ4VdYFxwteGSieucOXMSmxVkwuh3k8TXxoYLjI0Nk+uSJUs8/qcfkh0p3UZ7heGNEPSNCnQeJlc9TYVdcHFhg/lIfF35kexI6TZclb5hPqMbtqQfhVC4ICjAn/DiNy5+wyzlg5fK3HvvvfT3f//3RSsmT+7h7m/+JBhPNMJRGAVK/q0SY5aFuZHgpX8rwMsneLOC2bNn0zvvvFOyYvzLv/wLXXjhhcRrTYt5TJ8+3V9K8vjjjxeTRr/yrQ8BlWrB8WZZqjWLcgVKAW5AeN3hT37yk5LdrOCxxx6j22+/PRC68483v+Xu3bs3EHxAIvwKoLEMfx2iBCFRYObMmfT5z3/en/wSEsrWNNWnuC6//HLrPPkE8tpWfji55ZZbSvbhJJ/6wXZPBdBY9tQEVywUCNMYRVC4cncs75XKyxs2btyYUeWg8M1IUEtQXLds2UI33XRToDYE4IcTPtROSoqrRj/QwbDxDbSYDsihsXQgYn80EaYxiiBx5QkojY2NdOWVV1J7e3vaWydIfNMS1C4yV57Yw2srb7zxRi2l+EE1Vjxjxgx/7WWYdGX1wsa3+DWeXwZoLPOrL6xDgR4K8AQU3t2Hx/dKYbP1119/3S/jBRdc0KOsxb7AY8VLlizx10T++c9/LjYd+A+xAtiUIECVx5sS8BO6+eVzM56Osokx467zZPqKu2s/yl5fyqO4Klv62bRrxnWsCpsYM65w+tnEXHXVVTRy5EjiBuab3/ymDiXF18xjxlMyxSMmxoy7zsNc/+mf/om4PKeeemo684lrJhczngBqARNjxjVoImhilNbnnnsuffvb307g9ICZR4pzXgljpueax/Y+6KsfpYNpR4qrfHxmriXfbRzmRaKlxh2bEvSsUZsF0RJGWtzNXiUbNphcbbS2tnpc501NTSkFl/jm6ifFuBaR7EjpbGrBggV+Gd59913NcmpQsiOls7W+Yt544w2fJ5+zHX3144Kr4hem+0DiqsoU5jPeLPXHoyKH+c3S8/hvGkd/UYAn+vD45bvvvktDhw4NXbH5A89vvvkmrV27NvDcudeG+b788suBmogUeOFA0FcAY5YhuhFsvljuAmNjw2bygWRHSueqcYFxwdWGS2+4qvFLPqvxS4lvb/yku80lO1I68+W9jKWJPZIdKd1GexsMP5D87d/+LdXV1aWTw7/mgosLG0wmLPeBDdeMgocoAY1liCoLVEtTAd4Or7y8nO64445QFTDIE3vSCfkXf/EX/hpXfhPmt0wcUCAXBdBY5qIWsFAgDwrwEgfVncnnsBy8XnTMmDHE/MNycFc3fyCal5Ngd5+w1FoweGLMMhj14LPAmGWAKqMIVHbt2kXjx4+nnTt3En/MOMgH79gzYsQIOnToUCjH//ihhN8uecw4jGPFQb43SpUb3ixDVLOuxkIkO1I6SyaNpzBGsiOl29iwwbjgauOnr+XhBnL9+vV+g5ntA8Z99cNl4UOyky39+eef99eK/vjHP45by3zKZseGhyuMfh/wGlcev+QucDVW7MqPVF5bPzpfzmMervxIdqR05iVxNbmHMY43ywDVGtZZJisjlzVeKlemPGq9msLp50x5dIwZzneen/70p/TWW2/Rjh076NVXX024N/0mErSAiTHjGjQRNDFmPAGMBzo7O+nWW2+lRYsW0cCBAykSifRYc2jm4bhp14znO495H5w4cYKWLl1K559/Pr344ospDw8mNzNuU56+5lF8TTtSvBDczLrCOsswL4oJIXess+xZaS7WvdmsAXPhx4UNVmDx4sXeTTfd5P/7+OOPe4jiyo9kJ1P66tWr/Y9ZMzEX2mbyoxfcBSYdV14fyn93XCY+XPhxYcNGW1d+JDtSug1XX9yQ/8fr+nAERAGpsQwITZ9Guh+eIPHTuYSJK/NmvtxIXnjhhRkbTL18hQwrXjt37vTdhknbTFy5LPy3p8pUSD2z+crEN1ueYqWFiWtvNcKYpdmfEOC4zdiBC4yNDRuZJDtSOvtwhZH4uvDjwobiyTNMefIJL3Pg2Zv64cqPZCdd+ubNm30quUxASmenGOXRfephLgtvbs+Tq7773e/qSWnDhSpPWufaRYkHQ11gbGxotEo2iMayZKsWBQu7AjxLkxvMTZs2+UtLil0engjz0EMP0bx584pNxbl/3hSCv3/J48WZvgbj3CkMhkoBNJahqi6Q7W8KqHWBs2fPLnqDqd4qp0yZUpLVwDNkeWN7bjjRYJZkFfepUJ/pU25khgJQIO8KcDchr73kbkI+pK975IOQ/lYZpk0IctXi0ksvpV//+td+g4k1mLmqV+L43g52Ip97BTDBx72mbDFskw8y8VUTUdTMzfyold7q+vXr/QlH5uzcTFzTWynuVVuuXEaejcwTrA4dOlQ00rZ8i0awnzlGN2yIHoZsBtpdYGxs2Mgm2ZHS2YcrjMTXhR8XNrLxVG+YNl2yLrgoG4cPH/a3h1u8eHGvtrZTdjKVTUov9H3Ab86PPvpoYtN1fdMCGy6uypNJL3XdlR/JjpTOfLApgaoVnAuiADYlSMpss/A6iY6FMuVRi7tNPMcz5UmHVdfynUfxzeSHNyzgDQFqamrokksuUbT8c6Y8KSAjIuV55pln/I/7fuc730nkVHkycU0AtYDKoy6ZcXVdP5sYM65jVdjEqLjiqnD6WWHUNY7X19cnHtZ4vJZ3LdKPdHn0hsVM57zmtWxxxTcbJp3NdNckG73Nw/n4YK74+HM/e9UuZnGlblibxcEuMDY2bLqIJDtSOteFC4wLrjZcXHBlPxJf9sMfMeZuwjlz5vhrMs371gUX5YfvS/5QdbpD4sp5JC5Suo0NG0xvuKou2alTp3rqA9cSXyndhitjJL6u/Eh2pHQbrowJ+4Ht7uJPRkE4YSP1INRCeDjwjE2eucl7nPJ3JYcMGeKUPHc/TpgwwX+D5Zmi/fVgHfjzabzmFZN++utdQIQxyxDVvd7Fk4m2C4yNDZsxCsmOlM5ldIFxwdWGiwuu7Efiq/zwspKXX37ZvxV4Fqe++brC+IkZ/pMwV199tf+dzZkzZ2awIHPljJIfKd3Ghg1G0jWTDX0Mkx9OVq1axdCMh6vySHxd+ZHsSOkshMQ1o1ghSkBjGaLKAlUoYCrAb5M8GYXHL/mTWfzm4+JgOy+99JL/I1jKS0VstdIbTNYb6zBtlSsdHBrL0qlLlKSfKsA/5NxNymsxeYedm2++mXgGa28P/q7mlVdeSffddx9VVFT01kzJ5WOd165d6693PfPMM4l1wtGPFAj7oGsp8Zcm+JRSWVGW/CjA6wJ50g/fS7w20lwXKXkt5lpOiVuQ0nmtK2vc1NQUJFpF4yJNRioaMYeO8WYZogcjm7EDFxgbGzZjFJIdKZ2rxgXGBVcbLi64sh+JbzY/3C3L+fmtkLtSeYIOn9O9aep2eBLLk08+6b818Qeo+U1VT8/0ZyJxLaRuEl8XXFV5WJ+mpiaqrq7usQ2hxEPZyKSpui7xdeVHsiOlK76lfsZ2d6Vewyhfv1Tg3HPPpe9973t+V+Hy5cv9btUlS5bQ2LFjadiwYcTdiHzw2Nu///u/02OPPUbRaJTeeOMNGj16dL/ULNdCV1VV+V3fd911F/3hD3+gBx98sFebNuTqF/jiKIClI8XRPa1XbEqQlMVmEXUSHQtlyqMWd5t4jmfKkw6rruU7j+Lr0s8777xDvJnBb3/7W3r99ddVUfzz1KlT6ayzzqKvfOUrNHDgwB6apIDjEcUtE9dseVSasqHi6c4mxoznkkdxzSWPwqbzq67xWztP+hk1ahRNnDgxsYRHpSsbfDavZYsrvtkw6WymuybZ6G0ezscHc8WmBA77fGEquwLSmKXN4mAXGBsbNmMUkh0pndVygXHB1YaLC67sR+Lrwg9vMvDwww9n3fvUxo/EtZC6SXxdcM1UHrV5AW8Ucd999zEs6yFx5cwSXxsbLjA2NiSuWcUISSLGLONPRjjlpkCYniLDxJVroRB8eZbr6aefnngLyq32k+hCcE1661son1zVTFlewsNbEfL4b1+PfPLtKzczf5i4mtxt42gsbZUCLkUBafJBCrjIkTBxZanCxBdcU29unvjDk6vWrFnjL+ExN2FPRWePQdvs+hQ6FY1loRWHPygABUpaAZ5cxTOQP/jgA382sr6zUkkXvMQLh8ayxCsYxYMCUKDwCvBWhD//+c9p2rRp/s5KLrplC18KeNQVwGxYXY0ih7GRepErAO6hQB4U4J1+eHkJb3h///33EzekOMKnAN4sQ1RnNouDXWBsbNiMp0h2pHSuGhcYF1xtuLjgyn4kvq78SHakdBuuhdRN4ivpasPVBmPy4I92c7csH7wR+5YtW6zua4mv6cd3YPznAmNjQ+Jq0AplFG+WAao2frPkTy3xzLJcbz4zjxlPV0wTY8aRJ50Csdmqev1At56apFPO1MmM94c8w4cP9zeI4J2VKisr6YEHHhD/1k2dzHihdJP8cnpJHyFZ4tIvaGKdZc9qtlnjJWFs1oBJNpiZhJHSbWwwRuLryo9kR0q34WpTZhs/LjCSrjZcbTASV/6I9AUXXOB/vDvb3rISX8mPDVcbjI0fiSv7CfuBbtiSfhRC4aAAFAiaAjxmeeutt/r77/LesvxGlm7v3qDxzsan5N8qufBhb+1LiX+YqiNMT5Jh4sr3c5j4gmvffoF4J6WbbrrJf8tsbGxMMQZtU+QoegRvltkelwKWZjPQ7gJjY8NGGsmOlM4+XGEkvi78uLAh8XSpicRXSrfhasPXxo8rjMTZhZ9cbPBOSvyNzHnz5vljmfwtUtt1mbn4yVZuyY6Uns12KaWhsSyl2kRZoAAUCKUCPEv20KFD9IUvfMFfl8k7AP35z38OZVlKlTQay1KtWZQLCkCBUCmgvkXKn0njTQwef/xxf5lJqApRymSL3hEMAgkFMGaZkMJpIExjP1zwMPEFV6e3asIYf8Xkhhtu8Pg3YerUqR6PbeIorgJ4swzRk5DN2IELjI0NG9kkO1I6+3CFkfi68OPChsTTpSYSXyndhqsNXxs/rjASZxd+XNjgr5iMHDnS75rlcc0RI0b0mDXrwo+r+tHXHUsahzUdmxIEqObw8edkZdh8rDaJjoUy5VEf0TXxHM+UJx1WXct3HsU3335clCcTV2VbPxe7PIqrzkmFJW5mOuczr0nxXPMovmx3+fLl9PTTT/sf7l69ejVxY8of6k5nM90119x8x9p/zLXkl48U98UW3nUFpG5Ym8XBLjA2Nmy63yQ7Ujpr4wLjgqsNFxdc2Y/E15UfyY6UbsO1kLpJfCVdbbjaYCQeNjYYk47vzp07/W5Z/sj0HXfc4XF3bbbDBRcbG+m4ZuMVxjS8WWpPR8UOYiP1YtcA/EOB4CvA38jcvHkzPfTQQz5ZXnYyZcoU/20z+OzDyxBjliGqu7CNUUh8pXSuGhcYm/EUF35c2OAyS3xd+ZHsSOk2XG3q0MaPC4ykqw1XG4wLrtm05S5YXmoya9Ysf30mN5q81yx/3cQ8XHCxsWGjrcktbHE0lmGrMfCFAlAAChD5Y5bcaO7YscPfOm/8+PH+9zPTNZoQrO8KoLHsu4awAAWgABQomgL8pllTU+PPnL3kkkv8b2eOGzfO/yzYiRMnisar1BxjzDJANYoxywBVBqhAgZAqgDHN/FQc3izzo2terNqMHbjA2NiwGaOQ7EjpLKILjAuuNlxccGU/El9XfiQ7UroN10LqJvGVdLXhaoOReNjYYIzEN5MfNabJ3bNf//rX/YlAPKbJW+il+7pJJjvMgQ8pnTES15ilcP+PxjLc9Qf2UAAKQIG0CnCjOXbsWH9Mc+XKlfTKK6/QF7/4Rb/RtN2sPa3hfnoR3bABqnhsSpCsDJtF1El0LJQpj1rcbeI5nilPOqy6lu88im++/bgoTyauyrZ+LnZ5FFedkwpL3Mx0zmdek+K55lF8JbtmejY/b731lr+xwUsvvUSPPfYYDRo0SEnQq/KozMwVmxKEcfVoSDljU4KeFWezIFrC2CyYlmwwMwkjpdvYYIzE15UfyY6UbsPVpsw2flxgJF1tuNpgXHC10bYvfg4dOsQu/EOyI6WzERtt4+5Ce8KbpXo0CsAZE3wCUAmgAAWgABRIowDGLNOIEtRLNgPtLjA2NmwG9CU7UjrXgwuMC642XFxwZT8SX1d+JDtSug3XQuom8ZV0teFqg5F42NhgjMTXlR/JjpRuw5UxYT/QWIa9BsEfCkABKAAF8q4AGsu8SwwHUAAKQAEoEHYFMGYZoBrEmGWAKgNUoAAUgAKaAniz1MQIetBm7MAFxsaGNJ7CWkp2pHQbGzYYF1xt/Lgqj8TXlR/JjpTOmkhcC6mbxNcF10KWR+IrldeGqw3Gxo/Elf2E/cCbZYBqEOssk5Vhrh0z40lkMmRiVFytV0sikyGFUVfMuLqun02MGdexKmxizLjC8VnxNTFmXM+jwibGjCucfjYxZlzHqrDCZOKqcPpZ5VHXzLi6rp9NjBnXsSpsYlRccVU4/aww6poUZ5yEMdNzzaP4mnakeK5+bMts+lX5+Mxcsc4ytKtiwkcc6yx71pnNGi8JY7MGTLLBzCSMlG5jgzESX1d+JDtSug1XmzLb+HGBkXS14WqDccHVRltXfiQ7UroNV8aE/aCwF6CU+EuNZZDKavPDExS+YeLKmoWJL7jm7y4Pk7b5UyE4ljFmqfclBDxsM3bgAmNjw0YqyY6Uzj5cYSS+Lvy4sCHxdKmJxFdKj15h1QAAGfxJREFUt+Fqw9fGjyuMxNmFHxc2JJ42urrC2JSnP4xZorG0uSuBgQJQAApAgX6tABrLfl39KDwUgAJQAArYKIDG0kYlYKAAFIACUKB/KxCc4VMwwQSf/NwDYZsoESa+4Jqfe5athknb/KkQHMt4swzRs5LNQLsLjI0NG9kkO1I6+3CFkfi68OPChsTTpSYSXyndhqsNXxs/rjASZxd+XNiQeNro6gpjU57+MMEHmxLY3JUFwmBTgqTQ5gJoM55EJkMmRsXV4u4kMhlSGHXFjKvr+tnEmHEdq8ImxowrHJ8VXxNjxvU8KmxizLjC6WcTY8Z1rAorTCauCqefVR51zYyr6/rZxJhxHavCJkbFFVeF088Ko65JccZJGDM91zyKr2lHiufqx7bMpl+Vj8/MFZsSBOctuOSZSN2wNouDXWBsbNh0EUl2pHSucBcYF1xtuLjgyn4kvq78SHakdBuuhdRN4ivpasPVBiPxsLHBGImvKz+SHSndhitjwn7gzVJ/PCpyGBupF7kC4B4KQAEokEEBjFlmECaIl23GDlxgbGzYjFFIdqR0rgMXGBdcbbi44Mp+JL6u/Eh2pHQbroXUTeIr6WrD1QYj8bCxwRiJrys/kh0p3YYrY8J+oLEMew2CPxSAAlAACuRdATSWeZcYDqAAFIACUCCTAu3t7TRt2jRqa2vLBAnEdYxZBqIaYiQwZhmgygAVKAAFCqbAli1baOHChX6jedddd9Epp5xSMN+2jvBmaatUAHA2YwcuMDY2pPEUlkuyI6Xb2LDBuOBq48dVeSS+rvxIdqR01kTiWkjdJL4uuBayPBJfqbw2XG0wNn4kruwn21FVVUU7duzwIRMmTKBdu3ZlgxclDW+WRZG9p1O+2erq6nom4AoUgAJQoJ8q4HleYEqOxjIwVUEUpm5YcM3fjQNt86NtmHRlBcLE1yXXvXv30i233EKVlZVWPRf5uVt6Wv1Mz0u4AgWgABSAAlCgsAocPnyYHn/8cdq0aRM98cQTNHr06MISELxhzFIQCMlQAApAASiQXwV4gs+ll15KgwcP9scug9ZQcunxZpnfewDWoQAUgAJQIIsCvHTkscceo6eeeooqKiqyIIubhDHL4uqf4t1lv3+K4TxEwDUPosZNQtv8aBsmXVmBMPENE9fe3l3ohu2tcsgHBaAAFIAC/UYBNJb9pqpRUCgABaAAFOitAmgse6sc8kEBKAAFoEC/UQCNZb+pahQUCkABKAAFeqsAJvj0VjnkgwJQAApAgX6jAN4s+01Vo6BQAApAASjQWwXQWPZWOeSDAlAACkCBfqMAGssiV3V3x25aX1ftr6nitUoDJtZRwwt7qKO7yMTSuO9ua6Bq5mj+q26gtsDw/Yj2rLicyuu20VGjDMHTups696ykieULaNtRQ8DuA9RQXd5T6wHXUEPbJ0bJ8hjtbKNtDXU0MVHno2jGiiZq69T5nqCOPRuobqLiW04T69bSC3s6SEflkWXc9FFq29ag8RhA5TNW0ta21DshMPdxZxttXTGDyuPapuNK3R20Z72ufzXVNbxIezpO5F/OFA9HqW3rSppRHv/7L59BK7a2UWcK5hNqa7gmzT1bTtUNBwp8L6QQcxJBY+lExl4a6X6HNi28ldbR9dQS/ZQ871OKLvsb2vF/ZtEPtn/YS6P5ytZNne0HaV9VPbV2ecRfA0j8a6qlikDcSUfpwPrv04J/fL2nCIHTups6DzxNixb8lLb3ZEvUGaXWfeOpvvV4Umdf82eptuLkdDncX+t+hzbeeSVdv+NvaJl/f3rUFX2cRu+7hyrv3ETvxVvC7vdepIVXPEV04yaK8r3RtYeWnb6T/s8Vq2m7+RDgnmXc4gl6b+MCqrx+B52+bA91sVZdUdo0ei/NqFxAG99TjUtA7mNf2+to6QdTafuxLvK8I7R96ge0dMR1tGLPR8kybVpCV6wjurEl6pepK/pdOn3HfLriBzt7PAzmTVqKa7v0A5q6/Qh5Xhcd2z6VPlj693TFit1ag9lJ7a3vUVX9/pj+id+IKDXVnkeB+Inoi0gejqIp0NVa71XR1V5963GNw3Gvtf5qLzK32TuiXS1+8AOvee6YAPKKKdMVfc1bN/c2b/lrO736qkgPnoHSuivqtayb79Usf9Vrqb/ao8h8r/lIl1bFXd6R5vlepMd1DVKAYEyzMd7c5g9SvKVej92vVFXvtaYUYb9XX3VRj7wphlxGuthfz3r3elwPwn2coX5Nrn78HK+qfr+XIi3/bhTy3jjS7M2NmPdBvN51HmlxLiu5uLZC39j35UGhuHnjT7iR4TTs9IEalYF0+rDhRBteoZaCPZVr7jMFuz+kt/d+RKNGlNOgTJhiXe8+QOtu/B61Vs+nu8d+MQ2LIGn9CbWtu4fuaZ1ID939NfpcGrZEJ+j9tw9Sx6jhNHRQ8f5EyypqqclroWWTTkvDMkp73/6QuonfJn5PkdHD6HSdatlpNGz0p7Sh6d8K8wZUdh7VNkUpumwSDU7DtmPv2/Q+vwkH4j4uo8GTllI0upQmDdZFM4j7vQufp9HDTkt5Kys7fRiNpi3U1HLYyJCn6OBJtCya6T5I+ux+/23a23E2jRgauF+IJMk+hLLUVB+sIquFAvEfxEzIjoP09vuq6ygTqIDX/T/cU+j0Pz5D/1sft9gYgPHVsqE0Zd3TtHTSGSk/Kkl1gqT1QCqfspJ+ufQbFMn41xdvgE5/lzb+71HxMSAeK9xYhLGqpIqpofF07fhhVOY3PtHUJC2WaKS0a4UPfpaqrr2IhrPeQb2Puzto96rv08J902nNHeP9Bj/W+GRSSz2sZErP5/UT1LG7npYs3E+1a2ZRpd/gqwfSU+iPG2dp47AraGPBx67zU/aMf675cQerSQViP4jJeLBDsT/ccjpj3E30k2h8vLJtPp392v103SP6uEUxyjGIIpFsT7NB0rqMBkX+OvvbefztZ8QZF9GMn+yLj1nuonvPbqF7rvsh7UmZXFNgvXnsd9lK2lf7v6h6+MnxxqejwCRs3Z2g9zatoYX7LqVZ1Wf7D1LBu4/jk2JOKqev3v06fWPOt+jrEe5pijc+tkUtEC42Oeovqfyrt9PWb/x/NOvrkfgDavyBdMTZNG7GWor645Vd1Hbv2fTaPbfSI4lx2AIRzYMbNJZ5ELUUTca65JpS394GVdAl1V+h1jkr6NlCztAsRYH1Mvldigfp1ZS3z8FUccklNK51OS14tq1IMwuP0oF136Pbf38VPbX4cjoj0L8ePIHq57Tg9rfoxqfm07QzYkMdwbuPT6aK2mf9B6Ku6CN0xi+upjE3b0xMntJviyCEY/rx5Kl2euqMX9BXx9wdnzwVL8er99Mkv7FntmU0qOJ/UvW4d2nOgo0BmjHfOyUDfbv3rkhhyTWIho44OyxkM/Aso0FDh9Mo+j21tqdOIs+QoUiXS0FrIhpUTiNGEe1rjWozEAsl6VE60HAXTVpItPgf7kr+IPqcIoUiYemHG8oNdNukFUSL/x8tyNg9r8wF4z4ui0ymeffdSNTwNDUdPBH/21IcA3YuO4MmzaujubSRftT0+ywPb/G/vX0Hqb2YPSIO5ENj6UDE3pmITeTJ+DPTY+JP77wgFysArft0H/B42srZsYZy20qqPU+bQuNP5CnPaL7HxJ+MSFcJPJ72D/GG8uf0w9qR2bu8Xbl1aif28OlP5Mn4A1HeY+KPUwrWxjqK9PBmTdAZEI2lMylzNRR/mu0xkScYMyFTSxMfV+mxeF4N6ldR9dghqVkCFQuT1kSxcaGxVLfNWGvrT04ppxuqv5J2xmc+JO/u2EoLJo+hr/7iDFqz3WgofYexN4ceE3mKMeu0+z3atuAKKv/qL+j0Nc+laSiDch9n4hGvwUj878l/a/8oPus4WbuFnnWa8X70KY2J3Y/xTTR6bgYSn6x2wyU0NtvM32Txghsq7sqVfu69622vsXakF6lZ5+0/xiupPvWir63xanqsaQqATsde85ZXjvFq6vd5xxSdY/u8+ppKr7bx7ZR1YCq5KGdzrZoiEUit06xV8/n+yWtZfpl2X/DFI97++lrvnNpGr11fdKfKl4+zX+cRjyK3eY3tn2b00NXe6NVGRibvja6o99ojNQVeJxrTjGhk9vsxKPdxGh5d0S3e/JS/sU+99sbbvEik1qvfH1t13RXd6T1SM7LHOuKMleMkIc392NXuNc+v0u7RLu9YyyNepcbV87q8Y/vXeTXnZL9/nFAsgBEeWMZRNAW6vGOtzV793CqPiGL/IjXe8sYWL1qoH8Qcyt4VbfEal9d4EcW1cq5X39yabDxzsJU3aKbGkv9wA6d1psbS8zzeuKBxuVcTid8XVOXNrW/2Wv2HqryppxmOc1N1neac3DjjiNfaXO/NrYwk7uNIzXKvsSVasIeo2EYJSqs0Z23xfFDuYysex1q95vq5XmVC/5FezfJGryWa+eFFq0R3Qav78VMv2tLoLa8ZGb8PIl7l3HqvuTVY26v0VhR8oiu4L/1gBgWgABSAAgFRAGOWAakI0IACUAAKQIHgKoDGMrh1A2ZQAApAASgQEAXQWAakIkADCkABKAAFgqsAGsvg1g2YQQEoAAWgQEAUQGMZkIoADSgABaAAFAiuAmgsg1s3YAYFoAAUgAIBUQCNZUAqAjSgABSAAlAguAqgsQxu3YAZFIACUAAKBEQBNJYBqQjQgAJQAApAgeAqgMYyuHUDZlAACkABKBAQBdBYBqQiQAMKQAEoAAWCqwAay+DWDZhBASgABaBAQBRAYxmQigANKAAFoAAUCK4CaCyDWzdgBgWgABSAAgFRAI1lQCoCNKAAFIACUCC4CqCxDG7dgBkUgAJQAAoERAE0lgGpCNCAAlAACkCB4CqAxjK4dQNmeVegmzrbmmjFgp9RW7dydpTatj5KC9YfoMQllZTz+RNqa7iGBpQvoG1H+24tZ/d5zRAvW3WDpl3fHHa3NVB1TvY+pG11Y2lATnn6xhG5+68CaCz7b92j5HSYdtffS3P2fJLU4mgL1c94iPZ0JS/1PnQyVdQ+S150KU0ajD+17Dp2U2f72/QX115EwyFVdqmQWhQFcFsWRXY4hQJQIFWBw9TS9EeaPn4Y4UcpVRnEgqEA7stg1ANYpCjA3aPbqKGumgYMGBD7N7GOGra1UaeG6+7YTesTmFE0Y0UTtXUmuzu7O/bQxhUzqFzZGFBNdQ3b4hjuwruUJj+8h2jLTBpx0liqe/4pqjtvMj3c0UFbZp5PJ2ndp6m+ymliXQNtazsaZ9NNR7ctoHK2v/YhmlHOnMdS3bZ3U7thj26juvJyql67lXavr6OJcV7lM1bS1oQtNhnvHp4xKlb28hm04vm1VDexnMrrtpHyqkkRD56gjj0baYXKx/ZTdFM8r6G127Zn1Y6Iu6NXxssygMpnrKDnG5gzl+vDnq7jV7LrlDEb0dF/o6bfjaPxw0/OCEqtT67vX9Dr739q4FmDDb5WsXtHr3MFlfRVOpn1GSu3VRm7O2iPVsep9cA87O5xxRjnACjg4YACQVPg2Gve8soxXk39Pu+Yz+1TL9r8gFdJV3v1rcf9K13tjV5tJOJVzm30Wo91ed6xfV59zUgvUtvotXd5nqdsPLLTi3Lc87yu6BZvfuU5XuXy1+J2P/Ca547xqKrea41jvCPN3txIxKuq3++pSzFfI72ahK0j3v76Wi8Suc1rbP+ULXtHmud7ESIvUrPO23+sy+uKHvQOHvtPr7X+ao8i873mI11ezDZ5RFXe3Mb9MQ5d7V7z/CqPKh/xWrgcbM0v28hk+eNlI7Y/t9k74qPM/7q8Yy2PeJWRGu+R16Jx7kq3y7zlLX9K4UmV873G1pilnrp86rU33uZFIrVe/X7GdHnH9q/zaiLMfYw3t/kDz/OOx8qmaZfgnVEnk7OKs373eZdpmquUxNmvz3OS9e0d8Vob53uVRFr9Kd6aBuZ9YaVvpvrsStZNtjJ2ve011o70IjVrvNeisfsjpt9Ir7bx7VjdqPszyz2eKDsCgVCAAsECJKCApkBXa71XpTWMWlI8GP+hVo2Qf1X9wHGD+p+xxislnUHmD7xNY5kG4/uLXY81Xsq3akjiNJU/xcNviM0GT+VVDwJxu6rRV6bS5lWJfNb5aNe79nv1VefEG3/ly+RplNH3pf2w++bMvBZa+vky8NIoxrhfFm+EUxLikbhvpWMCko536oOOD/XLo8oc55NVX7OsyqHhT11O0V7lVfWpQKllkO9xlQ/noCiAbtgAvN2DQqoCZeUj6RuVO2lh/Yu0e9uLWndnHNf9Nu18ZifRqOE0dJC6hcto8KSlFPWepdqKz8bC0cU07v1/po0bN9LGjc9TQ91UGjHzuVRnUoy7BzfsocjoYXS6cuXnGURDR5xNHRteoZY+zXQto0FDh9Mo+j21tnfGuiM3RGnUxV+miO5vUDmNGBXJwvY0mrSshaLLxtL7216Il3kt1U2eRDO3fJwlHyfFykL7DlJ753/R0ZZXaEPH+XTxyP+mjR8qnhlM9UWn7g/p7d9dQNVjh2QwzuOZW6gjpb413n6u7jjvcho97DSNNxePtYvShqZ/o6M+z97oS/G6ke6FD2NcI8Np2OkDtfLE9evYQk0th0m8x7WcCAZDAf3PMRiMwAIKDBpH9/xyOz311T9R46JbaPKIU2lAynijhUSdv6WGGX9LnxtxHa1+7RARldHnqx+mlvqrKdYoJMc2LaxRx8OT6dTE2CePSZ6Se8Nr46jXmG7qPLCeZpSfSiMmP0avfcTl+2uq/oeNVF9FtK81mjLe22s3Qsbe6NR98Fe08b9X0thMM4a5Md0bFTyr5D308OQvJce6uc5OOp9mbulQgD6frcrY8X2afOpJKTxOGjGTtijvLu5xZQvngiiAxrIgMsNJzgoMqqBJ02+mZa9GyeuKUkvjN+j9hZOpctH2LBNclJdPqO3Z79HMrROosf1tenXZzTR9+nSaPukMOtL6ewXK4Ryhqvr91OV5PGyR+i8oy0K62+jZO+fT1imN1N7VRMtqr6Lp06fSpPKPqXWfu4Yiu2i90ekTOrhzN/336q/Q4EzGy06jYaPLM6Ua16+m+tbjqXUUr7PoskmZfRhWMkcty1hVT61dxr3i82ihZZNOi5nv0z2emSFS8qMAGsv86AqrLhUoi9CY6TfSjBvGUMfet+l9Gkbjrx3f4w3RX9Q+oJyqG16jd7hRHHUBjYxoXWHd/0kffWjOnhSIDv4KVd9QTvt2/Tt1pLyMfkR7VlzufkG88me+CXZGszd6fjr16L7tPvYRZZ67mq7sZTR47CV0QyTeLZyA8DrIg7QvETcCineuOnGX+sa/ztIFy36G0NjqKor43cR6JXRSe+LhR/HeT7t++x+pG0p07qYVE4dTdcMB6lY8c9WXaai8WcuouL5Ov+04oYnUTZ17VtLEAddQQ5u2rlchzHtcL6bC4FxUBdBYFlV+OE+nQKzRq6a6jQfiXYc8zf6fqWk3Ue2syTS87GQaPuVmmj/iWVr0UHOsEet+j7ave4a2VM6hpddcTF/lH9ctz9C67e/Ffji7O2j3qu/S7Q2/1VzGx+r8K59QZ+d/xce3PhvDfNxJnd2nUeUdC2jK5vtpwapd8QbzKLVtfJjumUO0fOl0qnD6VxT3t2EZLVHl7zxAG5cso4ezvSDGf8i3bHiGtsd/pLs7dtGqBfdTQ7Z8mhqJ4ODxdMear9GGRY/QRn9JC+u/iZYsWkeZTfVSJ27kaZg29pxgoQXKaHDlLFoz5Zd0/ewNdMBfHsR18Agt4qU/6vB5T6DNt3+XVu3uiNU7a7foPppDt9HSayqojHqpr+/DpoyK6w66fcFa2u3XRUy/Rff8kGj5PXRNxckk3+OqUDgHRQGnf+ZBKRR4hFuBsorraV3LLPrSC1fT5/xxwpPoc5Uv0Jdm/4gWTzvLn7xRFvkGLf7Zz+jGrhVUfhKPS11Ii7qup5af3UZjBn2GBlfOpl+uG03/OnkoncQ2hs6jfz5zBm1qnEvJaTLxRvfEQhpx0tl05bMHqbvsbJpSdwOd4HWWf1VLzx78hMrOmEartq+iCe9/L+ZrwKlU+cIQmt2ylu4e83nnYsf83Z0sf8X36feTbqblVUnmPZ2eRpXfeYzWjfsVTS7/S3+sbOi8f6UzZzxGjXPH9IRnvTKQzpi+lLYv+BK9UMnjxSdRxZJ3aNLsO6gqS77cdeJJOdvpd9Mtdu0pO4umr2qk9aO20aTP8VjgeTTrtfNp9vJpGqM476cm0Pt1Y2L1/rmr6YUvzYrfF7Gfu97pG3NjVcY416cm/IHq/LpQ9+8z9LO7x9EgHkG3uMe1giEYAAUG8LTcAPAABSgABbIp0H2AGqbMpNa6F5JjXtnweUjjt6EplQep7sDi0tu+LwD65qHKYNKhAnizdCgmTEGBvisQ2xy8fMb6eHcjb/bCXcjfp4UnrqJrxmVaXtF3zwkL/k5Do2hGw28TM2j9Lt0lj9GJu6fRuEyzVhMGghwIgL5BlgfcMiqAxjKjNEiAAsVQgLtTf0RrEt2N3MVcRT/smkq/9LuYC/AnO3g8feeXD9KoHd+Kd4MPoJPGPEFdU3+U6EYshjJufAZAXzcFgZUCK4Bu2AILDndQAApAASgQPgUK8JgaPlHAGApAASgABaCArgAaS10NhKEAFIACUAAKpFEAjWUaUXAJCkABKAAFoICuABpLXQ2EoQAUgAJQAAqkUQCNZRpRcAkKQAEoAAWggK4AGktdDYShABSAAlAACqRRAI1lGlFwCQpAASgABaCArgAaS10NhKEAFIACUAAKpFEAjWUaUXAJCkABKAAFoICuABpLXQ2EoQAUgAJQAAqkUQCNZRpRcAkKQAEoAAWggK4AGktdDYShABSAAlAACqRR4P8HCv72ABIv5f4AAAAASUVORK5CYII=\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Use the graph to show that the nuclear radius of silicon-30 is about 4 fm.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate, using the result from (a)(i), the nuclear radius of thorium-232 <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\left( {{}_{90}^{232}{\\text{Th}}} \\right)\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mo>(</mo>\n<mrow>\n<msubsup>\n<mrow>\n</mrow>\n<mrow>\n<mn>90</mn>\n</mrow>\n<mrow>\n<mn>232</mn>\n</mrow>\n</msubsup>\n<mrow>\n<mtext>Th</mtext>\n</mrow>\n</mrow>\n<mo>)</mo>\n</mrow>\n</math></span>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Suggest <strong>one</strong> reason why a beam of electrons is better for investigating the size of a nucleus than a beam of alpha particles of the same energy.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why deviations from Rutherford scattering are observed when high-energy alpha particles are incident on nuclei.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.iv.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>read off between 17 and 19 «deg» ✔</p>\n<p>correct use of <em>d</em> = <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{\\lambda }{{\\sin \\theta }}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mi>λ</mi>\n<mrow>\n<mi>sin</mi>\n<mo>⁡</mo>\n<mi>θ</mi>\n</mrow>\n</mfrac>\n</math></span></span> = 7.8 × 10<sup>−15</sup> «m» ✔</p>\n<p>so radius = <span class=\"mjpage\"><math alttext=\"\\frac{7.8}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>7.8</mn>\n<mn>2</mn>\n</mfrac>\n</math></span> «fm» = 3.9 «fm» ✔</p>\n<p><em>Award ecf for wrong angle in MP1.</em></p>\n<p><em>Answer for MP3 must show at least 2 </em><em>sf.</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>R<sub>Th</sub> = R<sub>si </sub> <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"{\\left( {\\frac{{{A_{{\\text{Th}}}}}}{{{A_{{\\text{Si}}}}}}} \\right)^{\\frac{1}{3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<msup>\n<mrow>\n<mo>(</mo>\n<mrow>\n<mfrac>\n<mrow>\n<mrow>\n<msub>\n<mi>A</mi>\n<mrow>\n<mrow>\n<mtext>Th</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msub>\n<mi>A</mi>\n<mrow>\n<mrow>\n<mtext>Si</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n</mfrac>\n</mrow>\n<mo>)</mo>\n</mrow>\n<mrow>\n<mfrac>\n<mn>1</mn>\n<mn>3</mn>\n</mfrac>\n</mrow>\n</msup>\n</mrow>\n</math></span></span> or substitution ✔</p>\n<p>7.4 «fm» ✔<br/><br/></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electron wavelength shorter than alpha particles (thus increased resolution)<br/><em><strong>OR</strong></em><br/>electron is not subject to strong nuclear force ✔</p>\n<p> </p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>nuclear forces act ✔</p>\n<p>nuclear recoil occurs ✔</p>\n<p>significant penetration into nucleus / probing internal structure of individual nucleons ✔</p>\n<p>incident particles are relativistic ✔</p>\n<div class=\"question_part_label\">a.iv.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was left blank by many candidates and many of those who attempted it chose an angle that when used with the correct equation gave an answer close to the given answer of 4 fm. Very few selected the correct angle, calculated the correct diameter, and divided by two to get the correct radius.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was also left blank by many candidates. Many who did answer simply used the ratio of the of the mass numbers of the two elements and failed to take the cube root of the ratio. It should be noted that the question specifically stated that candidates were expected to use the result from 2ai, and not just simply guess at the new radius.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was very poorly answered with the vast majority of candidates simply listing differences between alpha particles and electrons (electrons have less mass, electrons have less charge, etc) rather than considering why high speed electrons would be better for studying the nucleus.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates struggled with this question. The vast majority of responses were descriptions of Rutherford scattering with no connection made to the deviations when high-energy alpha particles are used. Many of the candidates who did appreciate that this was a different situation from the traditional experiment made vague comments about the alpha particles “hitting” the nucleus.</p>\n<div class=\"question_part_label\">a.iv.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>A beam of microwaves is incident normally on a pair of identical narrow slits S1 and S2.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n<p style=\"text-align: left;\">When a microwave receiver is initially placed at W which is equidistant from the slits, a maximum in intensity is observed. The receiver is then moved towards Z along a line parallel to the slits. Intensity maxima are observed at X and Y with one minimum between them. W, X and Y are consecutive maxima.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why intensity maxima are observed at X and Y.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The distance from S1 to Y is 1.243 m and the distance from S2 to Y is 1.181 m.</p>\n<p>Determine the frequency of the microwaves.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>one</strong> reason why the maxima observed at W, X and Y will have different intensities from each other.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The microwaves emitted by the transmitter are horizontally polarized. The microwave receiver contains a polarizing filter. When the receiver is at position W it detects a maximum intensity.</p>\n<p style=\"text-align:center;\"><img 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\"/></p>\n<p style=\"text-align:left;\">The receiver is then rotated through 180° about the horizontal dotted line passing through the microwave transmitter. Sketch a graph on the axes provided to show the variation of received intensity with rotation angle.</p>\n<p style=\"text-align:left;\"><img 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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>two waves superpose/mention of superposition/mention of «constructive» interference ✔</p>\n<p>they arrive in phase/there is a path length difference of an integer number of wavelengths ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>path difference = 0.062 «m»✔</p>\n<p>so wavelength = 0.031 «m»✔</p>\n<p>frequency = 9.7 × 10<sup>9</sup> «Hz»✔</p>\n<p><em>Award <strong>[2 max]</strong> for 4.8 x 10<sup>9</sup> Hz</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>intensity is modulated by a single slit diffraction envelope <em><strong>OR</strong></em></p>\n<p>intensity varies with distance <em><strong>OR</strong></em> points are different distances from the slits ✔<br/><br/></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img 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\"/></p>\n<p>cos<sup>2</sup> variation shown ✔</p>\n<p>with zero at 90° (by eye) ✔</p>\n<p><em>Award <strong>[1 max]</strong> for an inverted curve with maximum at 90°.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates were able to discuss the interference that is taking place in this question, but few were able to fully describe the path length difference. That said, the quality of responses on this type of question seems to have improved over the last few examination sessions with very few candidates simply discussing the crests and troughs of waves.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates struggled with this question. Few were able to calculate a proper path length difference, and then use that to calculate the wavelength and frequency. Many candidates went down blind paths of trying various equations from the data booklet, and some seemed to believe that the wavelength is just the reciprocal of the frequency.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is one of many questions on this paper where candidates wrote vague answers that did not clearly connect to physics concepts or include key information. There were many overly simplistic answers like “they are farther away” without specifying what they are farther away from. Candidates should be reminded that their responses should go beyond the obvious and include some evidence of deeper understanding.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was generally well answered, with many candidates at least recognizing that the intensity would decrease to zero at 90 degrees. Many struggled with the exact shape of the graph, though, and some drew a graph that extended below zero showing a lack of understanding of what was being graphed.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity",
+      "c-2-wave-model",
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>The moon Phobos moves around the planet Mars in a circular orbit.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the origin of the force that acts on Phobos.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why this force does no work on Phobos.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The orbital period <em>T</em> of a moon orbiting a planet of mass <em>M</em> is given by</p>\n<p style=\"text-align:center;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage mjpage__block\"><math alttext=\"\\frac{{{R^3}}}{{{T^2}}} = kM\" display=\"block\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mi>R</mi>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msup>\n<mi>T</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mi>k</mi>\n<mi>M</mi>\n</math></span></span></p>\n<p>where <em>R</em> is the average distance between the centre of the planet and the centre of the moon.</p>\n<p>Show that <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"k = \\frac{G}{{4{\\pi ^2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>k</mi>\n<mo>=</mo>\n<mfrac>\n<mi>G</mi>\n<mrow>\n<mn>4</mn>\n<mrow>\n<msup>\n<mi>π</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The following data for the Mars–Phobos system and the Earth–Moon system are available:</p>\n<p>Mass of Earth = 5.97 × 10<sup>24</sup> kg</p>\n<p>The Earth–Moon distance is 41 times the Mars–Phobos distance.</p>\n<p>The orbital period of the Moon is 86 times the orbital period of Phobos.</p>\n<p>Calculate, in kg, the mass of Mars.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The graph shows the variation of the gravitational potential between the Earth and Moon with distance from the centre of the Earth. The distance from the Earth is expressed as a fraction of the total distance between the centre of the Earth and the centre of the Moon.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align:left;\">Determine, using the graph, the mass of the Moon.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>gravitational attraction/force/field «of the planet/Mars» ✔</p>\n<p><em>Do not accept “gravity”</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the force/field and the velocity/displacement are at 90° to each other <strong><em>OR</em></strong></p>\n<p>there is no change in GPE of the moon/Phobos ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATE 1</strong></em></p>\n<p>«using fundamental equations»</p>\n<p>use of Universal gravitational force/acceleration/orbital velocity equations ✔</p>\n<p>equating to centripetal force or acceleration. ✔</p>\n<p>rearranges to get <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"k = \\frac{G}{{4{\\pi ^2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>k</mi>\n<mo>=</mo>\n<mfrac>\n<mi>G</mi>\n<mrow>\n<mn>4</mn>\n<mrow>\n<msup>\n<mi>π</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span></span>  ✔</p>\n<p><em><strong>ALTERNATE 2</strong></em></p>\n<p>«starting with <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:center;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"\\frac{{{R^3}}}{{{T^2}}} = kM\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mi>R</mi>\n<mn>3</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msup>\n<mi>T</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mi>k</mi>\n<mi>M</mi>\n</math></span><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">»</span></span></p>\n<p>substitution of proper equation for T from orbital motion equations ✔</p>\n<p>substitution of proper equation for M <em><strong>OR</strong></em> R from orbital motion equations ✔</p>\n<p>rearranges to get <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"k = \\frac{G}{{4{\\pi ^2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>k</mi>\n<mo>=</mo>\n<mfrac>\n<mi>G</mi>\n<mrow>\n<mn>4</mn>\n<mrow>\n<msup>\n<mi>π</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span></span>  ✔</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"{m_{{\\text{Mars}}}} = {\\left( {\\frac{{{R_{{\\text{Mars}}}}}}{{{R_{{\\text{Earth}}}}}}} \\right)^3}{\\left( {\\frac{{{T_{{\\text{Earth}}}}}}{{{T_{Mars}}}}} \\right)^2}{m_{{\\text{Earth}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<msub>\n<mi>m</mi>\n<mrow>\n<mrow>\n<mtext>Mars</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n<mo>=</mo>\n<mrow>\n<msup>\n<mrow>\n<mo>(</mo>\n<mrow>\n<mfrac>\n<mrow>\n<mrow>\n<msub>\n<mi>R</mi>\n<mrow>\n<mrow>\n<mtext>Mars</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msub>\n<mi>R</mi>\n<mrow>\n<mrow>\n<mtext>Earth</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n</mfrac>\n</mrow>\n<mo>)</mo>\n</mrow>\n<mn>3</mn>\n</msup>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mo>(</mo>\n<mrow>\n<mfrac>\n<mrow>\n<mrow>\n<msub>\n<mi>T</mi>\n<mrow>\n<mrow>\n<mtext>Earth</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msub>\n<mi>T</mi>\n<mrow>\n<mi>M</mi>\n<mi>a</mi>\n<mi>r</mi>\n<mi>s</mi>\n</mrow>\n</msub>\n</mrow>\n</mrow>\n</mfrac>\n</mrow>\n<mo>)</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n<mrow>\n<msub>\n<mi>m</mi>\n<mrow>\n<mrow>\n<mtext>Earth</mtext>\n</mrow>\n</mrow>\n</msub>\n</mrow>\n</math></span></span> or other consistent re-arrangement ✔</p>\n<p>6.4 × 10<sup>23</sup> «kg» ✔</p>\n<p> </p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>read off separation at maximum potential 0.9 ✔</p>\n<p>equating of gravitational field strength of earth and moon at that location <em><strong>OR <img src=\"data:image/png;base64,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\"/>✔</strong></em></p>\n<p>7.4 × 10<sup>22</sup> «kg» ✔</p>\n<p><em>Allow ECF from MP1</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered, although some candidates simply used the vague term “gravity” rather than specifying that it is a gravitational force or a gravitational field. Candidates need to be reminded about using proper physics terms and not more general, “every day” terms on the exam.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates connected the idea that the gravitational force is perpendicular to the velocity (and hence the displacement) for the mark. It was also allowed to discuss that there is no change in gravitational potential energy, so therefore no work was being done. It was not acceptable to simply state that the net displacement over one full orbit is zero. Unfortunately, some candidates suggested that there is no net force on the moon so there is no work done, or that the moon is so much smaller so no work could be done on it.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was another “show that” derivation. Many candidates attempted to work with universal gravitation equations, either from memory or the data booklet, to perform this derivation. The variety of correct solution paths was quite impressive, and many candidates who attempted this question were able to receive some marks. Candidates should be reminded on “show that” questions that it is never allowed to work backwards from the given answer. Some candidates also made up equations (such as T = 2𝝿r) to force the derivation to work out.</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was challenging for candidates. The candidates who started down the correct path of using the given derived value from 5bi often simply forgot that the multiplication factors had to be squared and cubed as well as the variables.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was left blank by many candidates, and very few who attempted it were able to successfully recognize that the gravitational fields of the Earth and Moon balance at 0.9r and then use the proper equation to calculate the mass of the Moon.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>A small metal pendulum bob is suspended at rest from a fixed point with a length of thread of negligible mass. Air resistance is negligible.</p>\n<p>The pendulum begins to oscillate. Assume that the motion of the system is simple harmonic, and in one vertical plane.</p>\n<p>The graph shows the variation of kinetic energy of the pendulum bob with time.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"specification\">\n<p>When the 75 g bob is moving horizontally at 0.80 m s<sup>–1</sup>, it collides with a small stationary object also of mass 75 g. The object and the bob stick together.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate, in m, the length of the thread. State your answer to an appropriate number of significant figures.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Label on the graph with the letter X a point where the speed of the pendulum is half that of its initial speed.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The mass of the pendulum bob is 75 g. Show that the maximum speed of the bob is about 0.7 m s<sup>–1</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the speed of the combined masses immediately after the collision.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the collision is inelastic.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch, on the axes, a graph to show the variation of gravitational potential energy with time for the bob and the object after the collision. The data from the graph used in (a) is shown as a dashed line for reference.</p>\n<p style=\"text-align:center;\"><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align:left;\">The speed after the collision of the bob and the object was measured using a sensor. This sensor emits a sound of frequency <em>f</em> and this sound is reflected from the moving bob. The sound is then detected by the sensor as frequency <em>f</em>′.</p>\n<p style=\"text-align:left;\">Explain why <em>f</em> and <em>f</em>′ are different.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.iv.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>identifies T as 2.25 s ✔</p>\n<p>L = 1.26 m ✔</p>\n<p>1.3 / 1.26 «m» ✔</p>\n<p><em>Accept <span style=\"text-decoration:underline;\">any</span> number of s.f. for MP2.</em></p>\n<p><em>Accept <span style=\"text-decoration:underline;\">any</span> answer with 2 or 3 s.f. for MP3</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>X labels any point <span style=\"text-decoration:underline;\">on the curve</span> where <em>E<span style=\"font-size:11.6667px;\"><sub>K</sub>  </span></em> <span class=\"mjpage\"><math alttext=\"\\frac{1}{4}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>4</mn>\n</mfrac>\n</math></span> of maximum/5 mJ ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span> mv<sup>2</sup> = 20 × 10<sup>−3</sup> seen <em><strong>OR </strong></em><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span> × 7.5 × 10<sup>-2</sup> × <em>v</em><sup>2</sup> = 20 × 10<sup>-3</sup> ✔</p>\n<p>0.73 «m s<sup>−1</sup>» ✔</p>\n<p><em>Must see at least 2 s.f. for MP2</em>.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>0.40 «m s<sup>-1</sup>» ✔</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>initial energy 24 mJ and final energy 12 mJ ✔</p>\n<p>energy is lost/unequal /change in energy is 12 mJ ✔</p>\n<p>inelastic collisions occur when energy is lost ✔</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>graph with same period but inverted ✔</p>\n<p>amplitude one half of the original/two boxes throughout (by eye) ✔</p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>mention of Doppler effect ✔</p>\n<p>there is a change in the wavelength of the reflected wave ✔</p>\n<p>because the wave speed is constant, there is a change in frequency ✔</p>\n<div class=\"question_part_label\">b.iv.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well approached by candidates. The noteworthy mistakes were not reading the correct period of the pendulum from the graph, and some simple calculation and mathematical errors. This question also had one mark for writing an answer with the correct number of significant digits. Candidates should be aware to look for significant digit question on the exam and can write any number with correct number of significant digits for the mark.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well answered. This is a “show that” question so candidates needed to clearly show the correct calculation and write an answer with at least one significant digit more than the given answer. Many candidates failed to appreciate that the energy was given in mJ and the mass was in grams, and that these values needed to be converted before substitution.</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates fell into some broad categories on this question. This was a “show that” question, so there was an expectation of a mathematical argument. Many were able to successfully show that the initial and final kinetic energies were different and connect this to the concept of inelastic collisions. Some candidates tried to connect conservation of momentum unsuccessfully, and some simply wrote an extended response about the nature of inelastic collisions and noted that the bobs stuck together without any calculations. This approach was awarded zero marks.</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates drew graphs that received one mark for either recognizing the phase difference between the gravitational potential energy and the kinetic energy, or for recognizing that the total energy was half the original energy. Few candidates had both features for both marks.</p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was essentially about the Doppler effect, and therefore candidates were expected to give a good explanation for why there is a frequency difference. As with all explain questions, the candidates were required to go beyond the given information. Very few candidates earned marks beyond just recognizing that this was an example of the Doppler effect. Some did discuss the change in wavelength caused by the relative motion of the bob, although some candidates chose very vague descriptions like “the waves are all squished up” rather than using proper physics terms. Some candidates simply wrote and explained the equation from the data booklet, which did not receive marks. It should be noted that this was a three mark question, and yet some candidates attempted to answer it with a single sentence.</p>\n<div class=\"question_part_label\">b.iv.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that during an adiabatic expansion of an ideal monatomic gas the temperature\n   <span style=\"background-color:#ffffff;\">\n    <span class=\"mjpage\">\n     <math alttext=\"T\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mi>\n       T\n      </mi>\n     </math>\n    </span>\n   </span>\n   and volume\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    <span class=\"mjpage\">\n     <math alttext=\"V\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mi>\n       V\n      </mi>\n     </math>\n    </span>\n   </span>\n   are given by\n  </p>\n  <p style=\"text-align:center;\">\n   <span style=\"background-color:#ffffff;\">\n    <span class=\"mjpage\">\n     <math alttext=\"T{V^{\\frac{2}{3}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mi>\n       T\n      </mi>\n      <mrow>\n       <msup>\n        <mi>\n         V\n        </mi>\n        <mrow>\n         <mfrac>\n          <mn>\n           2\n          </mn>\n          <mn>\n           3\n          </mn>\n         </mfrac>\n        </mrow>\n       </msup>\n      </mrow>\n     </math>\n    </span>\n   </span>\n   = constant\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the efficiency of the cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The work done during the isothermal expansion A → B is 540 J. Calculate the thermal energy that leaves the gas during one cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the ratio\n   <span style=\"background-color:#ffffff;\">\n    <span class=\"mjpage\">\n     <math alttext=\"\\frac{{{V_C}}}{{{V_B}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n       <mrow>\n        <mrow>\n         <msub>\n          <mi>\n           V\n          </mi>\n          <mi>\n           C\n          </mi>\n         </msub>\n        </mrow>\n       </mrow>\n       <mrow>\n        <mrow>\n         <msub>\n          <mi>\n           V\n          </mi>\n          <mi>\n           B\n          </mi>\n         </msub>\n        </mrow>\n       </mrow>\n      </mfrac>\n     </math>\n    </span>\n   </span>\n   where\n   <em>\n    V\n    <sub>\n     C\n    </sub>\n   </em>\n   is the volume of the gas at C and\n   <em>\n    V\n    <sub>\n     B\n    </sub>\n   </em>\n   is the volume at B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the change in the entropy of the gas during the change A to B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, by reference to the second law of thermodynamics, why a real engine operating between the temperatures of 620 K and 340 K cannot have an efficiency greater than the answer to (b)(i).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  substitution of\n  <span style=\"background-color:#ffffff;\">\n   <span class=\"mjpage\">\n    <math alttext=\"P = \\frac{{nRT}}{V}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      P\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mfrac>\n      <mrow>\n       <mi>\n        n\n       </mi>\n       <mi>\n        R\n       </mi>\n       <mi>\n        T\n       </mi>\n      </mrow>\n      <mi>\n       V\n      </mi>\n     </mfrac>\n    </math>\n   </span>\n   in\n   <span class=\"mjpage\">\n    <math alttext=\"{P_X}V_X^{\\frac{5}{3}} = {P_Y}V_Y^{\\frac{5}{3}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mrow>\n      <msub>\n       <mi>\n        P\n       </mi>\n       <mi>\n        X\n       </mi>\n      </msub>\n     </mrow>\n     <msubsup>\n      <mi>\n       V\n      </mi>\n      <mi>\n       X\n      </mi>\n      <mrow>\n       <mfrac>\n        <mn>\n         5\n        </mn>\n        <mn>\n         3\n        </mn>\n       </mfrac>\n      </mrow>\n     </msubsup>\n     <mo>\n      =\n     </mo>\n     <mrow>\n      <msub>\n       <mi>\n        P\n       </mi>\n       <mi>\n        Y\n       </mi>\n      </msub>\n     </mrow>\n     <msubsup>\n      <mi>\n       V\n      </mi>\n      <mi>\n       Y\n      </mi>\n      <mrow>\n       <mfrac>\n        <mn>\n         5\n        </mn>\n        <mn>\n         3\n        </mn>\n       </mfrac>\n      </mrow>\n     </msubsup>\n    </math>\n   </span>\n  </span>\n  ✔\n </p>\n <p>\n  manipulation to get result ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  e « = 1 −\n  <span style=\"background-color:#ffffff;\">\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{T_c}}}{{{T_h}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          T\n         </mi>\n         <mi>\n          c\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          T\n         </mi>\n         <mi>\n          h\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n     </mfrac>\n    </math>\n   </span>\n  </span>\n  = 1 −\n  <span class=\"mjpage\">\n   <math alttext=\"\\frac{340}{620}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      340\n     </mn>\n     <mn>\n      620\n     </mn>\n    </mfrac>\n   </math>\n  </span>\n  » = 0.45 ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  heat into gas «is along AB» and equals\n </p>\n <p>\n  <em>\n   Q\n   <sub>\n    in\n   </sub>\n  </em>\n  «= Δ\n  <em>\n   U\n  </em>\n  +\n  <em>\n   W\n  </em>\n  = 0 + 540» = 540 «J» ✔\n </p>\n <p>\n  heat out is (1−\n  <em>\n   e\n  </em>\n  )\n  <em>\n   Q\n   <sub>\n    in =\n   </sub>\n  </em>\n  (1−0.45) × 540 = 297 «J» ≈ 3.0 × 10\n  <sup>\n   2\n  </sup>\n  «J» ✔\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for bald correct answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <span class=\"mjpage\">\n    <math alttext=\"{T_B}V_B^{\\frac{2}{3}} = {T_C}V_C^{\\frac{2}{3}} \\Rightarrow \\frac{{{V_C}}}{{{V_B}}} = {\\left( {\\frac{{{T_B}}}{{{T_C}}}} \\right)^{\\frac{3}{2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mrow>\n      <msub>\n       <mi>\n        T\n       </mi>\n       <mi>\n        B\n       </mi>\n      </msub>\n     </mrow>\n     <msubsup>\n      <mi>\n       V\n      </mi>\n      <mi>\n       B\n      </mi>\n      <mrow>\n       <mfrac>\n        <mn>\n         2\n        </mn>\n        <mn>\n         3\n        </mn>\n       </mfrac>\n      </mrow>\n     </msubsup>\n     <mo>\n      =\n     </mo>\n     <mrow>\n      <msub>\n       <mi>\n        T\n       </mi>\n       <mi>\n        C\n       </mi>\n      </msub>\n     </mrow>\n     <msubsup>\n      <mi>\n       V\n      </mi>\n      <mi>\n       C\n      </mi>\n      <mrow>\n       <mfrac>\n        <mn>\n         2\n        </mn>\n        <mn>\n         3\n        </mn>\n       </mfrac>\n      </mrow>\n     </msubsup>\n     <mo stretchy=\"false\">\n      ⇒\n     </mo>\n     <mfrac>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          V\n         </mi>\n         <mi>\n          C\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          V\n         </mi>\n         <mi>\n          B\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n     </mfrac>\n     <mo>\n      =\n     </mo>\n     <mrow>\n      <msup>\n       <mrow>\n        <mo>\n         (\n        </mo>\n        <mrow>\n         <mfrac>\n          <mrow>\n           <mrow>\n            <msub>\n             <mi>\n              T\n             </mi>\n             <mi>\n              B\n             </mi>\n            </msub>\n           </mrow>\n          </mrow>\n          <mrow>\n           <mrow>\n            <msub>\n             <mi>\n              T\n             </mi>\n             <mi>\n              C\n             </mi>\n            </msub>\n           </mrow>\n          </mrow>\n         </mfrac>\n        </mrow>\n        <mo>\n         )\n        </mo>\n       </mrow>\n       <mrow>\n        <mfrac>\n         <mn>\n          3\n         </mn>\n         <mn>\n          2\n         </mn>\n        </mfrac>\n       </mrow>\n      </msup>\n     </mrow>\n    </math>\n   </span>\n  </span>\n  ✔\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <span class=\"mjpage\">\n    <math alttext=\"\\frac{{{V_C}}}{{{V_B}}} = {\\left( {\\frac{{620}}{{340}}} \\right)^{\\frac{3}{2}}} = 2.5\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          V\n         </mi>\n         <mi>\n          C\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n      <mrow>\n       <mrow>\n        <msub>\n         <mi>\n          V\n         </mi>\n         <mi>\n          B\n         </mi>\n        </msub>\n       </mrow>\n      </mrow>\n     </mfrac>\n     <mo>\n      =\n     </mo>\n     <mrow>\n      <msup>\n       <mrow>\n        <mo>\n         (\n        </mo>\n        <mrow>\n         <mfrac>\n          <mrow>\n           <mn>\n            620\n           </mn>\n          </mrow>\n          <mrow>\n           <mn>\n            340\n           </mn>\n          </mrow>\n         </mfrac>\n        </mrow>\n        <mo>\n         )\n        </mo>\n       </mrow>\n       <mrow>\n        <mfrac>\n         <mn>\n          3\n         </mn>\n         <mn>\n          2\n         </mn>\n        </mfrac>\n       </mrow>\n      </msup>\n     </mrow>\n     <mo>\n      =\n     </mo>\n     <mn>\n      2.5\n     </mn>\n    </math>\n   </span>\n  </span>\n  ✔\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for bald correct answer.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  Δ\n  <em>\n   S\n  </em>\n  «=\n  <span class=\"mjpage\">\n   <math alttext=\"\\frac{Q}{T}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mi>\n      Q\n     </mi>\n     <mi>\n      T\n     </mi>\n    </mfrac>\n   </math>\n  </span>\n  =\n  <span class=\"mjpage\">\n   <math alttext=\"\\frac{540}{620}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      540\n     </mn>\n     <mn>\n      620\n     </mn>\n    </mfrac>\n   </math>\n  </span>\n  »= 0.87 «JK\n  <sup>\n   −1\n  </sup>\n  » ✔\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  the Carnot cycle has the maximum efficiency «for heat engines operating between two given temperatures »✔\n </p>\n <p>\n  real engine can not work at Carnot cycle/ideal cycle ✔\n </p>\n <p>\n  the second law of thermodynamics says that it is impossible to convert all the input heat into mechanical work ✔\n </p>\n <p>\n  a real engine would have additional losses due to friction\n  <em>\n   etc\n  </em>\n  ✔\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The algebraic manipulation required for this question was well mastered by only the better-prepared candidates. Many candidates tried to find the required formula via randomly selected equations from the data booklet.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  The efficiency of the Carnot cycle was well calculated by most of the candidates, but the thermal energy that leaves the gas was well calculated only by the best candidates. Many candidates were able to establish that the heat added to the gas was 540 J - but struggled to then link this with the efficiency to determine the thermal energy leaving the gas. In iii) the better candidates used the formula given at i) to appropriately calculate the ratio but many were not able to manipulate the expressions to achieve the desired outcome. The reciprocal of 2.5 (0.4) was a common error in the final result and so was the incorrect use of the formula for isobaric expansion. The change in the entropy was well calculated by many candidates with ECF being very prominent from part biii). A complete and proper explanation in ii) was well formulated only by the better candidates. However, many were able to recognize that the Carnot engine was ideal and not real. Many answers referred to heat being lost to the environment but not to “additional losses” that make the engine less than its ideal capacity.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  The efficiency of the Carnot cycle was well calculated by most of the candidates, but the thermal energy that leaves the gas was well calculated only by the best candidates. Many candidates were able to establish that the heat added to the gas was 540 J - but struggled to then link this with the efficiency to determine the thermal energy leaving the gas. In iii) the better candidates used the formula given at i) to appropriately calculate the ratio but many were not able to manipulate the expressions to achieve the desired outcome. The reciprocal of 2.5 (0.4) was a common error in the final result and so was the incorrect use of the formula for isobaric expansion. The change in the entropy was well calculated by many candidates with ECF being very prominent from part biii). A complete and proper explanation in ii) was well formulated only by the better candidates. However, many were able to recognize that the Carnot engine was ideal and not real. Many answers referred to heat being lost to the environment but not to “additional losses” that make the engine less than its ideal capacity.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  The efficiency of the Carnot cycle was well calculated by most of the candidates, but the thermal energy that leaves the gas was well calculated only by the best candidates. Many candidates were able to establish that the heat added to the gas was 540 J - but struggled to then link this with the efficiency to determine the thermal energy leaving the gas. In iii) the better candidates used the formula given at i) to appropriately calculate the ratio but many were not able to manipulate the expressions to achieve the desired outcome. The reciprocal of 2.5 (0.4) was a common error in the final result and so was the incorrect use of the formula for isobaric expansion. The change in the entropy was well calculated by many candidates with ECF being very prominent from part biii). A complete and proper explanation in ii) was well formulated only by the better candidates. However, many were able to recognize that the Carnot engine was ideal and not real. Many answers referred to heat being lost to the environment but not to “additional losses” that make the engine less than its ideal capacity.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  The efficiency of the Carnot cycle was well calculated by most of the candidates, but the thermal energy that leaves the gas was well calculated only by the best candidates. Many candidates were able to establish that the heat added to the gas was 540 J - but struggled to then link this with the efficiency to determine the thermal energy leaving the gas. In iii) the better candidates used the formula given at i) to appropriately calculate the ratio but many were not able to manipulate the expressions to achieve the desired outcome. The reciprocal of 2.5 (0.4) was a common error in the final result and so was the incorrect use of the formula for isobaric expansion. The change in the entropy was well calculated by many candidates with ECF being very prominent from part biii). A complete and proper explanation in ii) was well formulated only by the better candidates. However, many were able to recognize that the Carnot engine was ideal and not real. Many answers referred to heat being lost to the environment but not to “additional losses” that make the engine less than its ideal capacity.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  The efficiency of the Carnot cycle was well calculated by most of the candidates, but the thermal energy that leaves the gas was well calculated only by the best candidates. Many candidates were able to establish that the heat added to the gas was 540 J - but struggled to then link this with the efficiency to determine the thermal energy leaving the gas. In iii) the better candidates used the formula given at i) to appropriately calculate the ratio but many were not able to manipulate the expressions to achieve the desired outcome. The reciprocal of 2.5 (0.4) was a common error in the final result and so was the incorrect use of the formula for isobaric expansion. The change in the entropy was well calculated by many candidates with ECF being very prominent from part biii). A complete and proper explanation in ii) was well formulated only by the better candidates. However, many were able to recognize that the Carnot engine was ideal and not real. Many answers referred to heat being lost to the environment but not to “additional losses” that make the engine less than its ideal capacity.\n </p>\n</div>\n",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.10",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A small magnet is dropped from rest above a stationary horizontal conducting ring. The south (S) pole of the magnet is upwards.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">While the magnet is moving towards the ring, state why the magnetic flux in the ring is increasing.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">While the magnet is moving towards the ring, sketch, using an arrow on <strong>Diagram 2</strong>, the direction of the induced current in the ring.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">While the magnet is moving towards the ring, deduce the direction of the magnetic force on the magnet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">the magnetic field at the position of the ring is increasing «because the magnet gets closer to the ring» ✔</span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">the current must be counterclockwise «in diagram 2» ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em>eg</em>:</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><img height=\"182\" 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\" width=\"209\"/></span></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">since the induced magnetic field is upwards<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">by Lenz law the change «of magnetic field/flux» must be opposed<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">by conservation of energy the movement of the magnet must be opposed ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">therefore the force is repulsive/upwards ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well-answered.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Answers here were reasonably evenly split between clockwise and anti-clockwise, with the odd few arrows pointing left or right.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates recognised that the magnetic force would be upwards and the most common way of explaining this was via Lenz’s law. Students needed to get across that the force is opposing a change or a motion.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.11",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">In an experiment to determine the radius of a carbon-12 nucleus, a beam of neutrons is scattered by a thin film of carbon-12. The graph shows the variation of intensity of the scattered neutrons with scattering angle. The de Broglie wavelength of the neutrons is 1.6 × 10<sup>-15</sup> m.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A pure sample of copper-64 has a mass of 28 mg. The decay constant of copper-64 is 5.5 × 10<sup>-2</sup> hour<sup>–1</sup>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Suggest why de Broglie’s hypothesis is <strong>not</strong> consistent with Bohr’s conclusion that the electron’s orbit in the hydrogen atom has a well defined radius.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Estimate, using the graph, the radius of a carbon-12 nucleus.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The ratio <span class=\"mjpage\"><math alttext=\"\\frac{{{\\text{volume of a nucleaus of mass number }}A}}{{{\\text{volume of a nucleon}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<mtext>volume of a nucleaus of mass number </mtext>\n</mrow>\n<mi>A</mi>\n</mrow>\n<mrow>\n<mrow>\n<mtext>volume of a nucleon</mtext>\n</mrow>\n</mrow>\n</mfrac>\n</math></span> is approximately A.<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">Comment on this observation by reference to the strong nuclear force.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Estimate, in Bq, the initial activity of the sample.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">ci.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate, in hours, the time at which the activity of the sample has decreased to one-third of the initial activity.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">cii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«de Broglie’s hypothesis states that the» electron is represented by a wave ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">therefore it cannot be localized/it is spread out/it does not have a definite position ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><em><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Award MP1 for any mention of wavelike property of an electron.</span></span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«<span class=\"mjpage\"><math alttext=\"d\\sin \\theta  = \\lambda  \\Rightarrow \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>d</mi>\n<mi>sin</mi>\n<mo>⁡</mo>\n<mi>θ</mi>\n<mo>=</mo>\n<mi>λ</mi>\n<mo stretchy=\"false\">⇒</mo>\n</math></span>» <span class=\"mjpage\"><math alttext=\"d = \\frac{{1.6 \\times {{10}^{ - 15}}}}{{\\sin 17^\\circ }}/5.47 \\times {10^{ - 15}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>d</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mn>1.6</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>15</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mi>sin</mi>\n<mo>⁡</mo>\n<msup>\n<mn>17</mn>\n<mo>∘</mo>\n</msup>\n</mrow>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>5.47</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mo>−</mo>\n<mn>15</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span> </span><span style=\"background-color:#ffffff;\">«m»</span><span style=\"background-color:#ffffff;\"> ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"R = \\frac{d}{2} \\approx 2.7/2.8 \\times {10^{ - 15}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>R</mi>\n<mo>=</mo>\n<mfrac>\n<mi>d</mi>\n<mn>2</mn>\n</mfrac>\n<mo>≈</mo>\n<mn>2.7</mn>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>2.8</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mo>−</mo>\n<mn>15</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span> «m» ✔</span></p>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">this implies that the nucleons are very tightly packed/that there is very little space in between the nucleons ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">because the nuclear force is stronger than the electrostatic force ✔</span></p>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">number of nuclei is <span class=\"mjpage\"><math alttext=\"\\frac{{28 \\times {{10}^{ - 3}}}}{{64}} \\times 6.02 \\times {10^{23}}/2.63 \\times {10^{20}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>28</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>64</mn>\n</mrow>\n</mfrac>\n<mo>×</mo>\n<mn>6.02</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mn>23</mn>\n</mrow>\n</msup>\n</mrow>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>2.63</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mn>20</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span> ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"A = \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>A</mi>\n<mo>=</mo>\n</math></span><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«<span class=\"mjpage\"><math alttext=\"\\lambda N = 2.63 \\times {10^{20}} \\times \\frac{{5.5 \\times {{10}^{ - 2}}}}{{3600}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>λ</mi>\n<mi>N</mi>\n<mo>=</mo>\n<mn>2.63</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mn>20</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mfrac>\n<mrow>\n<mn>5.5</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>2</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>3600</mn>\n</mrow>\n</mfrac>\n</math></span>» <span class=\"mjpage\"><math alttext=\"4.0 \\times {10^{15}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mn>4.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mn>15</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span> </span></span><span style=\"background-color:#ffffff;\">«Bq» ✔</span></p>\n<div class=\"question_part_label\">ci.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{{\\text{1}}}{{\\text{3}}} = {e^{ - \\lambda t}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mtext>1</mtext>\n</mrow>\n<mrow>\n<mtext>3</mtext>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mrow>\n<msup>\n<mi>e</mi>\n<mrow>\n<mo>−</mo>\n<mi>λ</mi>\n<mi>t</mi>\n</mrow>\n</msup>\n</mrow>\n</math></span></span><span style=\"background-color:#ffffff;\"> ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em>t </em>= 20«hr» ✔</span></p>\n<div class=\"question_part_label\">cii.</div>\n</div>",
+    "Examiners report": "",
+    "topics": [
+      "c-wave-behaviour",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena",
+      "e-1-structure-of-the-atom",
+      "e-2-quantum-physics",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Three identical light bulbs, X, Y and Z, each of resistance 4.0 Ω are connected to a cell of emf 12 V. The cell has negligible internal resistance.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">When fully charged the space between the plates of the capacitor is filled with a dielectric with double the permittivity of a vacuum.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The switch S is initially open. Calculate the total power dissipated in the circuit.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The switch is now closed. State, without calculation, why the current in the cell will increase.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The switch is now closed. <span class=\"mjpage\"><math alttext=\"{\\text{Deduce the ratio }}\\frac{{{\\text{power dissipated in Y with S open}}}}{{{\\text{power dissipated in Y with S closed}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mtext>Deduce the ratio </mtext>\n</mrow>\n<mfrac>\n<mrow>\n<mrow>\n<mtext>power dissipated in Y with S open</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>power dissipated in Y with S closed</mtext>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>.</span></p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The cell is used to charge a parallel-plate capacitor in a vacuum. The fully charged capacitor is then connected to an ideal voltmeter.</span></p>\n<p><span style=\"background-color:#ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">The capacitance of the capacitor is 6.0 μF and the reading of the voltmeter is 12 V.</span></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Calculate the energy stored in the capacitor.</span></span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate the change in the energy stored in the capacitor.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Suggest, in terms of conservation of energy, the cause for the above change.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">total resistance of circuit is 8.0 «Ω» ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"P = \\frac{{{{12}^2}}}{{8.0}} = 18\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>P</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mn>12</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>8.0</mn>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mn>18</mn>\n</math></span>«W» <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«a resistor is now connected in parallel» reducing the total resistance<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">current through YZ unchanged and additional current flows through X ✔</span></p>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">evidence in calculation or statement that pd across Y/current in Y is the same as before ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">so ratio is 1 ✔</span></p>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"E = «\\frac{1}{2}C{V^2} = \\frac{1}{2} \\times 6 \\times {10^{ - 6}} \\times {12^2} =»  4.3 \\times {10^{ - 4}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>E</mi>\n<mo>=</mo>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>C</mi>\n<mrow>\n<msup>\n<mi>V</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n<mo>=</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mo>×</mo>\n<mn>6</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>12</mn>\n<mn>2</mn>\n</msup>\n</mrow>\n<mo>=</mo>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mn>4.3</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mo>−</mo>\n<mn>4</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span>«<span class=\"mjpage\"><math alttext=\"{\\text{J}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mtext>J</mtext>\n</mrow>\n</math></span>» ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><em><strong><span style=\"background-color:#ffffff;\">ALTERNATIVE 1</span></strong></em></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">capacitance doubles and voltage halves ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">since <span class=\"mjpage\"><math alttext=\"E = \\frac{1}{2}C{V^2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>E</mi>\n<mo>=</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>C</mi>\n<mrow>\n<msup>\n<mi>V</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</math></span> energy halves   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">so change is «–»2.2×10<sup>–4 </sup>«J»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"> </span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"E = \\frac{1}{2}C{V^2}{\\text{ and }}Q = CV{\\text{ so }}E = \\frac{{{Q^2}}}{{2C}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>E</mi>\n<mo>=</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>C</mi>\n<mrow>\n<msup>\n<mi>V</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n<mrow>\n<mtext> and </mtext>\n</mrow>\n<mi>Q</mi>\n<mo>=</mo>\n<mi>C</mi>\n<mi>V</mi>\n<mrow>\n<mtext> so </mtext>\n</mrow>\n<mi>E</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mi>Q</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>2</mn>\n<mi>C</mi>\n</mrow>\n</mfrac>\n</math></span>  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span> </span><span style=\"background-color:#ffffff;\"><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">capacitance doubles and charge unchanged so energy halves ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">so change is <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«</span><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−</span><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">»</span>2.2 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 10<sup><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−</span>4 </sup>«<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">J</span>» ✔</span></p>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">it is the work done when inserting the dielectric into the capacitor ✔<br/></span></p>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates scored both marks. ECF was awarded for those who didn’t calculate the new resistance correctly. Candidates showing clearly that they were attempting to calculate the new total resistance helped examiners to award ECF marks.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most recognised that this decreased the total resistance of the circuit. Answers scoring via the second alternative were rare as the statements were often far too vague.</p>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few gained any credit for this at both levels. Most performed complicated calculations involving the total circuit and using 12V – they had not realised that the question refers to Y only.</p>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most answered this correctly.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>By far the most common answer involved doubling the capacitance without considering the change in p.d. Almost all candidates who did this calculated a change in energy that scored 1 mark.</p>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Very few scored on this question.</p>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Define\n    <em>\n     proper length\n    </em>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (bi)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    In the reference frame of the train a ball travels with speed 0.50\n    <em>\n     c\n    </em>\n    from the back to the front of the train, as the train passes the platform. Calculate the time taken for the ball to reach the front of the train in the reference frame of the train.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (bii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    In the reference frame of the train a ball travels with speed 0.50\n    <em>\n     c\n    </em>\n    from the back to the front of the train, as the train passes the platform. Calculate the time taken for the ball to reach the front of the train in the reference frame of the platform.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p style=\"text-align:left;\">\n  <span style=\"background-color:#ffffff;\">\n   the length measured «in a reference frame» where the object is at rest ✔\n   <br/>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (bi)\n </div><div class=\"card-body\">\n <p style=\"text-align:left;\">\n  <img height=\"47\" src=\"data:image/png;base64,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\" width=\"304\"/>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (bii)\n </div><div class=\"card-body\">\n <p style=\"text-align:left;\">\n  <em>\n   <strong>\n    <span style=\"background-color:#ffffff;\">\n     ALTERNATIVE 1:\n    </span>\n   </strong>\n  </em>\n  <span style=\"background-color:#ffffff;\">\n   <br/>\n  </span>\n </p>\n <p style=\"text-align:left;\">\n  <span style=\"background-color:#ffffff;\">\n   <img height=\"115\" 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\" width=\"265\"/>\n  </span>\n </p>\n <p style=\"text-align:left;\">\n  <em>\n   <strong>\n    <span style=\"background-color:#ffffff;\">\n     <span style=\"background-color:#ffffff;\">\n      ALTERNATIVE 2:\n     </span>\n    </span>\n   </strong>\n  </em>\n </p>\n <p style=\"text-align:left;\">\n  <span style=\"background-color:#ffffff;\">\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     <em>\n      v\n     </em>\n     of ball is 0.846\n     <em>\n      c\n     </em>\n     for platform ✔\n     <br/>\n    </span>\n   </span>\n  </span>\n </p>\n <p style=\"text-align:left;\">\n  <span style=\"background-color:#ffffff;\">\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     length of train is 68m for platform ✔\n    </span>\n   </span>\n  </span>\n </p>\n <p style=\"text-align:left;\">\n  <span style=\"background-color:#ffffff;\">\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     <img height=\"45\" src=\"data:image/png;base64,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\" width=\"468\"/>\n    </span>\n   </span>\n  </span>\n </p>\n <p style=\"text-align:left;\">\n  <em>\n   <strong>\n    <span style=\"background-color:#ffffff;\">\n     <span style=\"background-color:#ffffff;\">\n      <span style=\"background-color:#ffffff;\">\n       ALTERNATIVE 3:\n      </span>\n     </span>\n    </span>\n   </strong>\n  </em>\n </p>\n <p style=\"text-align:left;\">\n  <img height=\"121\" src=\"data:image/png;base64,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\" width=\"511\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Proper length is quite well understood. A common mistake is to mention that it is the length measured by a reference frame at rest.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (bi)\n </div><div class=\"card-body\">\n <p>\n  Because there were three frames of reference in this question many candidates struggled to find the simple value for the time of the ball’s travel down the train in the train’s frame of reference.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (bii)\n </div><div class=\"card-body\">\n <p>\n  Almost no candidates could use a Lorentz transformation to find the time of the ball’s travel in the frame of reference of the platform. Most just applied some form of t=γt’. Elapsed time and instantaneous time in different frames were easily confused. Candidates rarely mention which reference frame is used when making calculations, however this is crucial in relativity.\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.8",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Monochromatic coherent light is incident on two parallel slits of negligible width a distance <em>d</em> apart. A screen is placed a distance <em>D</em> from the slits. Point M is directly opposite the midpoint of the slits.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Initially the lower slit is covered and the intensity of light at M due to the upper slit alone is 22 W m<sup>-2</sup>. The lower slit is now uncovered.</span></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The width of each slit is increased to 0.030 mm. <em>D</em>, <em>d</em> and λ remain the same.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Deduce, in W m<sup>-2</sup>, the intensity at M.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">P is the first maximum of intensity on <strong>one</strong> side of M. The following data are available.</span></p>\n<p><span style=\"background-color:#ffffff;\"><em>d</em> = 0.12 mm </span></p>\n<p><span style=\"background-color:#ffffff;\"><em>D</em> = 1.5 m </span></p>\n<p><span style=\"background-color:#ffffff;\">Distance MP = 7.0 mm</span></p>\n<p><span style=\"background-color:#ffffff;\">Calculate, in nm, the wavelength λ of the light.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Suggest why, after this change, the intensity at P will be less than that at M.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">ci.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Show that, due to single slit diffraction, the intensity at a point on the screen a distance of 28 mm from M is zero.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">cii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">there is constructive interference at M<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">the amplitude doubles at M ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">intensity is «proportional to» amplitude<sup>2</sup> ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">88 «<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">W m</span><sup style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−2</sup>» ✔</span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«<span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"s = \\frac{{\\lambda D}}{d} \\Rightarrow » \\lambda  = \\frac{{sd}}{D}/\\frac{{0.12 \\times {{10}^{ - 3}} \\times 7.0 \\times {{10}^{ - 3}}}}{{1.5}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>s</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>λ</mi>\n<mi>D</mi>\n</mrow>\n<mi>d</mi>\n</mfrac>\n<mo stretchy=\"false\">⇒</mo>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mi>λ</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>s</mi>\n<mi>d</mi>\n</mrow>\n<mi>D</mi>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mn>0.12</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>7.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>1.5</mn>\n</mrow>\n</mfrac>\n</math></span>    ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\lambda  = 560«{\\text{nm}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>λ</mi>\n<mo>=</mo>\n<mn>560</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>nm</mtext>\n</mrow>\n</math></span>»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> </p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«the interference pattern will be modulated by»<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">single slit diffraction ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«envelope and so it will be less»</span></p>\n<div class=\"question_part_label\">ci.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 1</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">the angular position of this point is <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\theta  = \\frac{{28 \\times {{10}^{ - 3}}}}{{1.5}} = 0.01867\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>θ</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mn>28</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>1.5</mn>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mn>0.01867</mn>\n</math></span>«rad»  ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">which coincides with the first minimum of the diffraction envelope</p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\theta  = \\frac{\\lambda }{b} = \\frac{{560 \\times {{10}^{ - 9}}}}{{0.030 \\times {{10}^{ - 3}}}} = 0.01867\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>θ</mi>\n<mo>=</mo>\n<mfrac>\n<mi>λ</mi>\n<mi>b</mi>\n</mfrac>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mn>560</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>9</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>0.030</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mn>0.01867</mn>\n</math></span> «rad» <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«so intensity will be zero»</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"> </span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">the first minimum of the diffraction envelope is at <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\theta  = \\frac{\\lambda }{b} = \\frac{{560 \\times {{10}^{ - 9}}}}{{0.030 \\times {{10}^{ - 3}}}} = 0.01867\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>θ</mi>\n<mo>=</mo>\n<mfrac>\n<mi>λ</mi>\n<mi>b</mi>\n</mfrac>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mn>560</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>9</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>0.030</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mn>0.01867</mn>\n</math></span>«rad»   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">distance on screen is <span class=\"mjpage\"><math alttext=\"y = 1.50 \\times 0.01867 = 28\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>y</mi>\n<mo>=</mo>\n<mn>1.50</mn>\n<mo>×</mo>\n<mn>0.01867</mn>\n<mo>=</mo>\n<mn>28</mn>\n</math></span>«mm»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«so intensity will be zero»</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> </p>\n<div class=\"question_part_label\">cii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered by those who attempted it but was the question that was most left blank. The most common mistake was the expected one of simply doubling the intensity.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was very well answered. As the question asks for the answer to be given in nm a bald answer of 560 was acceptable. Candidates could also gain credit for an answer of e.g. 5.6 x 10-7 m provided that the m was included.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many recognised the significance of the single slit diffraction envelope.</p>\n<div class=\"question_part_label\">ci.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Credit was often gained here for a calculation of an angle for alternative 2 in the markscheme but often the final substitution 1.50 was omitted to score the second mark. Both marks could be gained if the calculation was done in one step. Incorrect answers often included complicated calculations in an attempt to calculate an integer value.</p>\n<div class=\"question_part_label\">cii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "19M.2.HL.TZ2.9",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A planet of mass <em>m</em> is in a circular orbit around a star. The gravitational potential due to the star at the position of the planet is <em>V</em>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Show that the total energy of the planet is given by the equation shown.</span></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"E = \\frac{1}{2}mV\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>E</mi>\n<mo>=</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>m</mi>\n<mi>V</mi>\n</math></span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Suppose the star could contract to half its original radius without any loss of mass. Discuss the effect, if any, this has on the total energy of the planet.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The diagram shows some of the electric field lines for two fixed, charged particles X and Y.</span></p>\n<p><span style=\"background-color:#ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">The magnitude of the charge on X is <span class=\"mjpage\"><math alttext=\"Q\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>Q</mi>\n</math></span> and that on Y is <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"q\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>q</mi>\n</math></span></span>. The distance between X and Y is 0.600 m. The distance between P and Y is 0.820 m.</span></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">At P the electric field is zero. Determine, to <strong>one</strong> significant figure, the ratio <span class=\"mjpage\"><math alttext=\"\\frac{Q}{q}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mi>Q</mi>\n<mi>q</mi>\n</mfrac>\n</math></span>.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"E = \\frac{1}{2}m\\frac{{GM}}{r} - \\frac{{GMm}}{r} =  - \\frac{1}{2}\\frac{{GMm}}{r}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>E</mi>\n<mo>=</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>m</mi>\n<mfrac>\n<mrow>\n<mi>G</mi>\n<mi>M</mi>\n</mrow>\n<mi>r</mi>\n</mfrac>\n<mo>−</mo>\n<mfrac>\n<mrow>\n<mi>G</mi>\n<mi>M</mi>\n<mi>m</mi>\n</mrow>\n<mi>r</mi>\n</mfrac>\n<mo>=</mo>\n<mo>−</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mfrac>\n<mrow>\n<mi>G</mi>\n<mi>M</mi>\n<mi>m</mi>\n</mrow>\n<mi>r</mi>\n</mfrac>\n</math></span>  ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">comparison with <span class=\"mjpage\"><math alttext=\"V =  - \\frac{{GM}}{r}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>V</mi>\n<mo>=</mo>\n<mo>−</mo>\n<mfrac>\n<mrow>\n<mi>G</mi>\n<mi>M</mi>\n</mrow>\n<mi>r</mi>\n</mfrac>\n</math></span>   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«to give answer»</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> </p>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 1</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">«at the position of the planet» the potential depends only on the mass of the star /does not depend on the radius of the star ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">the potential will not change and so the energy will not change ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">r / distance between the centres of the objects / orbital radius remains unchanged ✔<br/></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\">since <span class=\"mjpage\"><math alttext=\"{E_{Total}} =  - \\frac{1}{2}\\frac{{GMm}}{r}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<msub>\n<mi>E</mi>\n<mrow>\n<mi>T</mi>\n<mi>o</mi>\n<mi>t</mi>\n<mi>a</mi>\n<mi>l</mi>\n</mrow>\n</msub>\n</mrow>\n<mo>=</mo>\n<mo>−</mo>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mfrac>\n<mrow>\n<mi>G</mi>\n<mi>M</mi>\n<mi>m</mi>\n</mrow>\n<mi>r</mi>\n</mfrac>\n</math></span>, energy will not change <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> </p>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{{kQ}}{{{{(0.600 + 0.820)}^2}}} = \\frac{{kq}}{{{{0.820}^2}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mi>k</mi>\n<mi>Q</mi>\n</mrow>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>0.600</mn>\n<mo>+</mo>\n<mn>0.820</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>k</mi>\n<mi>q</mi>\n</mrow>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mn>0.820</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>  ✔</span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{Q}{q} = « \\frac{{{{(0.600 + 0.820)}^2}}}{{{{0.820}^2}}} = 2.9988 \\approx » 3\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mi>Q</mi>\n<mi>q</mi>\n</mfrac>\n<mo>=</mo>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mo stretchy=\"false\">(</mo>\n<mn>0.600</mn>\n<mo>+</mo>\n<mn>0.820</mn>\n<mo stretchy=\"false\">)</mo>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<msup>\n<mrow>\n<mn>0.820</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mn>2.9988</mn>\n<mo>≈</mo>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mn>3</mn>\n</math></span>  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></span></p>\n<p style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> </p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered but with candidates sometimes getting in to trouble over negative signs but otherwise producing well-presented answers.</p>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A large number of candidates thought that the total energy of the planet would change, mostly double.</p>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority of candidates had an idea of the basic technique here but it was surprisingly common to see the squared missing from the expression for field strengths.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "d-1-gravitational-fields",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>A beam of microwaves is incident normally on a pair of identical narrow slits S1 and S2.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n<p style=\"text-align: left;\">When a microwave receiver is initially placed at W which is equidistant from the slits, a maximum in intensity is observed. The receiver is then moved towards Z along a line parallel to the slits. Intensity maxima are observed at X and Y with one minimum between them. W, X and Y are consecutive maxima.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align:left;\">Explain why intensity maxima are observed at X and Y.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align:left;\">The distance from S1 to Y is 1.243 m and the distance from S2 to Y is 1.181 m.<br/><br/>Determine the frequency of the microwaves.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p style=\"text-align:left;\">Outline <strong>one</strong> reason why the maxima observed at W, X and Y will have different intensities from each other.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>two waves superpose/mention of superposition/mention of «constructive» interference ✔</p>\n<p>they arrive in phase/there is a path length difference of an integer number of wavelengths ✔</p>\n<p><em>Ignore references to nodes/antinodes</em>.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>path difference = 0.062 «m» ✔</p>\n<p>so wavelength = 0.031 «m» ✔</p>\n<p>frequency = 9.7 × 10<sup>9</sup> «Hz» ✔</p>\n<p><em>If no unit is given, assume the answer is in Hz. Accept other prefixes (eg 9.7 GHz)</em></p>\n<p><em>Award <strong>[2 max]</strong> for 4.8 x 10<sup>9</sup> Hz.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>intensity varies with distance<em><strong> OR</strong></em> points are different distances from the slits ✔</p>\n<p><em>Accept “Intensity is modulated by a single slit diffraction envelope”</em>.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates were able to discuss the interference that is taking place in this question, but few were able to fully describe the path length difference. That said, the quality of responses on this type of question seems to have improved over the last few examination sessions with very few candidates simply discussing the crests and troughs of waves.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates struggled with this question. Few were able to calculate a proper path length difference, and then use that to calculate the wavelength and frequency. Many candidates went down blind paths of trying various equations from the data booklet, and some seemed to believe that the wavelength is just the reciprocal of the frequency.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is one of many questions on this paper where candidates wrote vague answers that did not clearly connect to physics concepts or include key information. There were many overly simplistic answers like “they are farther away” without specifying what they are farther away from. Candidates should be reminded that their responses should go beyond the obvious and include some evidence of deeper understanding.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.5",
+    "Question": "<div class=\"specification\">\n<p>A small metal pendulum bob of mass 75 g is suspended at rest from a fixed point with a length of thread of negligible mass. Air resistance is negligible. The bob is then displaced to the left.</p>\n<p>At time <em>t</em> = 0 the bob is moving horizontally to the right at 0.8 m s<sup>–1</sup>. It collides with a small stationary object also of mass 75 g. Both objects then move together with motion that is simple harmonic.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the speed of the combined masses immediately after the collision.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the collision is inelastic.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the changes in gravitational potential energy of the oscillating system from <em>t</em> = 0 as it oscillates through one cycle of its motion.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>0.40 «m s<sup>−1</sup>» ✔</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>initial energy 24 mJ and final energy 12 mJ ✔</p>\n<p>energy is lost/unequal /change in energy is 12 mJ ✔</p>\n<p>inelastic collisions occur when energy is lost ✔<br/><br/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>maximum GPE at extremes, minimum in centre ✔</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates fell into some broad categories on this question. This was a “show that” question, so there was an expectation of a mathematical argument. Many were able to successfully show that the initial and final kinetic energies were different and connect this to the concept of inelastic collisions. Some candidates tried to connect conservation of momentum unsuccessfully, and some simply wrote an extended response about the nature of inelastic collisions and noted that the bobs stuck together without any calculations. This approach was awarded zero marks.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This straightforward question had surprisingly poorly answers. Candidate answers tended to be overly vague, such as “as the bob went higher the GPE increased and as it fell the GPE decreased.” Candidates needed to specify when GPE would be at maximum and minimum values. Some candidates mistakenly assumed that at t=0 the pendulum bob was at maximum height despite being told otherwise in the question stem.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>The Moon has no atmosphere and orbits the Earth. The diagram shows the Moon with rays of light from the Sun that are incident at 90° to the axis of rotation of the Moon.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A black body is on the Moon’s surface at point A. Show that the maximum temperature that this body can reach is 400 K. Assume that the Earth and the Moon are the same distance from the Sun.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Another black body is on the Moon’s surface at point B.</p>\n<p>Outline, without calculation, why the aximum temperature of the black body at point B is less than at point A.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The albedo of the Earth’s atmosphere is 0.28. Outline why the maximum temperature of a black body on the Earth when the Sun is overhead is less than that at point A on the Moon.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why a force acts on the Moon.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why this force does no work on the Moon.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>T</em> = <span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"{\\left( {\\frac{{1360}}{\\sigma }} \\right)^{0.25}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<msup>\n<mrow>\n<mo>(</mo>\n<mrow>\n<mfrac>\n<mrow>\n<mn>1360</mn>\n</mrow>\n<mi>σ</mi>\n</mfrac>\n</mrow>\n<mo>)</mo>\n</mrow>\n<mrow>\n<mn>0.25</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span>   </span>✔</p>\n<p>390 «K» ✔</p>\n<p><em>Must see 1360 (from data booklet) used for MP1.</em></p>\n<p><em>Must see at least 2 s.f</em>.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy/Power/Intensity lower at B ✔</p>\n<p>connection made between energy/power/intensity and temperature of blackbody ✔</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>(28 %) of sun’s energy is scattered/reflected by earth’s atmosphere <em><strong>OR</strong></em> only 72 % of incident energy gets absorbed by blackbody ✔</p>\n<p><em>Must be clear that the energy is being scattered by the atmosphere.</em></p>\n<p><em>Award <strong>[0]</strong> for simple definition of “albedo”</em>.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>gravitational attraction/force/field «of the planet/Moon» ✔</p>\n<p><em>Do not accept “gravity”</em>.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the force/field and the velocity/displacement are at 90° to each other<em><strong> OR</strong></em> there is no change in GPE of the moon ✔</p>\n<p><em>Award <strong>[0]</strong> for any mention of no net force on the satellite.</em></p>\n<p><em>Do not accept acceleration is perpendicular to velocity.</em></p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates struggled with this question. A significant portion attempted to apply Wein’s Law and simply stated that a particular wavelength was the peak and then used that to determine the temperature. Some did use the solar constant from the data booklet and were able to calculate the correct temperature. As part of their preparation for the exam candidates should thoroughly review the data booklet and be aware of what constants are given there. As with all “show that” questions candidates should be reminded to include an unrounded answer.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This is question is another example of candidates not thinking beyond the obvious in the question. Many simply said that point B is farther away, or that it is at an angle. Some used vague terms like “the sunlight is more spread out” rather than using proper physics terms. Few candidates connected the lower intensity at B with the lower temperature of the blackbody.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was assessing the understanding of the concept of albedo. Many candidates were able to connect that an albedo of 0.28 meant that 28 % of the incident energy from the sun was being reflected or scattered by the atmosphere before reaching the black body.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered, although some candidates simply used the vague term “gravity” rather than specifying that it is a gravitational force or a gravitational field. Candidates need to be reminded about using proper physics terms and not more general, “every day” terms on the exam.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some candidates connected the idea that the gravitational force is perpendicular to the velocity (and hence the displacement) for the mark. It was also allowed to discuss that there is no change in gravitational potential energy, so therefore no work was being done. It was not acceptable to simply state that the net displacement over one full orbit is zero. Unfortunately, some candidates suggested that there is no net force on the moon so there is no work done, or that the moon is so much smaller so no work could be done on it.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "b-2-greenhouse-effect",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student strikes a tennis ball that is initially at rest so that it leaves the racquet at a speed of 64 m s<sup>–1</sup>. The ball has a mass of 0.058 kg and the contact between the ball and the racquet lasts for 25 ms.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The student strikes the tennis ball at point P. The tennis ball is initially directed at an angle of 7.00° to the horizontal.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The following data are available.<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Height of P = 2.80 m<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Distance of student from net = 11.9 m<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Height of net = 0.910 m<br/></span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Initial speed of tennis ball = 64 m s<sup>-1</sup></span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate the average force exerted by the racquet on the ball.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate the average power delivered to the ball during the impact.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate the time it takes the tennis ball to reach the net.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Show that the tennis ball passes over the net.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Determine the speed of the tennis ball as it strikes the ground.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">biii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The student models the bounce of the tennis ball to predict the angle <em>θ</em> at which the ball leaves a surface of clay and a surface of grass.</span></p>\n<p><span style=\"background-color:#ffffff;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAW8AAACdCAYAAAB7EfmyAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACBuSURBVHhe7Z15kFXVtYd33r8KptBXCYGG+BSckEEgJEpEmgAaRBCkUTGB0KAIBqW7Aqh5TJExRTMoSKRbpIREGsEBUcAwPVoMEqBFVOjGMqBIp6IQbfNfqvrxbfYmt5se7nCGfc5dX9Wlz973cu5wzvmdtddee63v1JxDCUITfPLJJ+qqq64yLUEQwua/zF9BaJTly5apWTNnmpYgCGEjlreQFN9++63q2fNmNX/eAtX/9ttNryAIYSHiLSQNrpPevXupnTt3iwtFEEJG3CZC0iDYK58rVkOH3q3+/ve/m15BEMJALG8hZRYvXqTK9pSpF1avVpdeeqnpFQQhSES8hbQYk5+vLrvsMrWwqMj0CIIQJOI2EdJi8ZIl6sSJE+r550tMjyDUZuuWLWZL8AOxvIW0YQIT/7dEoAgWzom1a9aoja9sUGfOnFEnT35unhG8RsTbMd5//331bXW1OlZxzPRczDXtr1Hfb9nSiYiPd8rK1IRHxqsNG16RCJQsZv36UrVixQpVWVlhepT6Ufce6uUNG0xL8Bpxm4QM4scE4D1Dh6o2bVqr382apVatWmWevZhvvvlGP//gg2P16/E98/+xeMLglp491ZNP/lZ/HmLBhewlUbihbdu2ZkvwA7G8QyBxaHn55VeogQMHqt69c7Xlmkr0BmL5fnm52v/X/WrTpk26j33dd9/96nvf+55uBwWrLw8fPiyWVhbzl3ffVfePuE/9+9//1u0ZM2aq0aPz9bbgPSLeAYJL5OmlS9VfD+xXo0b96pzQ3uWpq4H9v/bqq6q4ZOU5i3ysemjcuMBEnBvJqJEjVceOHdW06dNNr5BNFBYU6JHh2bNn1Xv796k//fElPTLzEgyf45WV6tQXp9Ted/bqvk//9mktq79f3/76b5s2bVTrnNaqa9duKRtGUUDEOwBY0PLkE09o0Z448VGVlzfc1xMJIS0tXaeWLl2ihtw9VBUUFgZy4soS+uwlMfYfHnv0UfX4uXM+U+OEcwrX4rZt29T2HX/WI9XOnTqrGzrcoOd+Lm3WTJ/b9n14vXUhVlQcU6dOnVJHPjiitr29Vfvge/60p+dGU2gg3oJ/lJQU13TqdGPNokVFNdXV1aY3GKqqqmoKJk3S77/lrbdMr78cP368JienVU15ebnpEeIO5xbnGMfeKzh3Z86Yofc7dMiQmnPGSMb7L9uzp9Y+g7om/ELE2ycQ6vzRo2tyc3t7elKnAyctJyxCHsQNxF7MXIBCvOHc5lh7dbO2oo0BwF8/ziGuAc5Rrk0eURVxEW8fsCc0J1/Q1nZD2JsJFkcQospIg/dy5fsL3sOx5Tz3QvzYF+eMn6JdH4kiHrXRooi3x1jhZpjnInbYGMRogJsF1r6FC1Ss8fjAzZnzKVMQTcST8yWs84PrlesiDPdmuoh4e4gVbi8sET+xJ6rfAs5FwAWO3z9xW4g+iDbHM1M4F7G2XTB2uHHwnXhEwcgQ8faIqAi3xQq43ycpv8sNN1xfc+217fVFinUlRBvOHSzlTC1UbgDsJ4hRYCpgfQdh3GSKiLcHIIBREm6LtZ78HCbymyDa9sHFKkQXXByZChvnG+40v8+9TOC85Xsy2e8qEuftASxtj+riFD9Tu5JxcMaMi38TSVYUTYif9iIRGefcP//5T+fzwZMVceyDY5ytHCW5TTLEpkSN6qpCUruy+IHEQl7D0mgq7wy7J8/0nIeVoEK0YPHLlMmT9SKzTISbNApREG7ge9rKUWHlDmoUbX8LacHQEVeA676xprBDYT/93+zb+kqj5l4SLo4cSgevfOVB4+rnFrdJBjD8u/mWm2ORfAeLCCQviVAXL8reMdoaOfIXkU0dTN6Wr7/+WhWXOFR8REu4kDJYj1G0IhqC74H1HbWFCoK/2Im7TEZlnFtcK1iwUcXF7yA+7zRZ8PsFavJvJjvvt0sWvgf+TLIeCgLg52XCbvXqFzPKTllcvFJd+cMr1bBhtec+ogTXR1HRIjV79lM60ZwLiHinAVnOIG6Z88h2SOZDV05OITyYoGSijgm7Tp06md7U4VwqKlqoZs+ZY3qiC78DWTr/sGKF6QkXEe802Lhxoxo3bpxpxQesC07OP/3pj6ZHyEYQbnKzcy5kaqAsmD9fF2UIujiIX5AjnyIqLhg4MmGZIhy07t27qo8+Ohobl0kiNpa3vPyw6RGyDa+qInGt9O/fV5WV7Y3VtUJ48OeffR765L5Y3ilSfuiQjluOo3ADkQAkvLeuISH7IKrCFlXIBNwLVIyK27UyYMCdulpV2Na3iHeKUNGjX79+phVPqINJXUwhO2G1baaCi+sFgaOeatzABUSZwc2b3zA94SDinSKsRuzcpYtpxROKIRPXKwjpwsiNsmNx8XXXpU+fPmrt2rWmFQ4i3imAPxiXQlxPSAuz6hSQFYR0YYQ6/N7hpuUGuDm8cnVQWPmrr74Mddm8iHcKULWaeNVsAKtJcpAI6bL+5VJ16629TMsNKALONewVROMcPHjAtIJHxDsFTn1xSi+Hzwbatm2rqk6fNi1BSB5u+u3atXduhMrSdixmr+jRo4faumWraQWPiHcKEB7UrFkz04o3N3S4Qd+sBCFVKiqOqV6OWN2kdbWZP72GuS8WtYWFiHcKnDx5UrVvf41pCYJQH6dOnVKtc1qbVngg3FOmTla9et1meryFkcWZM2d0ZE0YiHgL9cII48MjH5qWICTPkQ+OqK5du5lWOFjh9juLYb++/UObtBTxFuqFEQaLNQQhVSi2EDa4NLZufTuQ9LPfVlebrWAR8RbqRSYrhXQhzDSsnN3/+9vfajcGLo0gJkw73NhBHas4ZlrBIuIt1Es2RdYI3hP0kngEm1qyW7dt0Um1gvJDN2/e3GwFj4h3ClCoVyxSQXALhBrBJrx1x45duhj4Y48+ap6NLyLeKZBN4XPZFBYpRJt//etfejWnzclSUFio/e62tF9cEfFOgWyKwJCwSCFdWrRoEUjGPesawbedWKUHAScrInm3iTrxkzCNHBHvFEDMTpw4YVrxZtvbWyNZKFYIn25du6uqqirT8gfC83r2vLnBMD0EnDBByrj5GcoXppEj4p0CNmFTUJMhYcHJzvLmoCedhPjg59wQGQspGDJ/3oJGDQyeo4wbr/Xrmv30b5+areAR8U4RgvLfLy83rXhCsh1XljcL0YMoJT/nhsg1j3AnU6KN15BAyq8JzMrKioxqfGaCiHeK9L+9v9q+fbtpxZN1L63TSXcEIR2uaX+N2vvOXtPynscem5RSbU0mMLGQ168vNT3eQAIusm+GhYh3ipDmkomQuMJEE64hL7OvCdnF1e3a6TkTL1m8eJF+pAPuv+eeW6kKCws89X8fOPBXHZYYFiLeKcLM9tVXtfN9FjssKO1EiSfxdwvpwjXCnIlX+eAJ+du0aZMaOPAu05M6+L+pYj9l8mTTkzmMLsIcoYp4p8HYsWPVypUrTSteLF26RA0aPNi0BCE9qIO6c+cO00ofXB1Usn/ttdczjn4aPTpf//UiRSwToIwuwhyhininAQfs+CeVsas0w2iCMm9hTcAI8QErGWs5U4jffnnDBs9GgvMXLNAGSqZx6ES8DLsnL9QRqoh3GnDAJk58VD29dKnpiT5YEgt+v0BN/o13w0ohe7FWMiKXKpyLfhVQ4HONGvUrtWD+fNOTHoy8+/XrZ1rhIOKdJnl5w/UMdlx836Wl63R9zlRm8QWhMcaNG6dWrVplWsmBRUyeElYu+sWYMWPV9h1/TnvkzP9j5B36tVIjpE3Znj01nTrdWFNdXW16oklVVVVNTk6rmuPHj5sewQu2vPVW5M+NTOC7c32Ul5ebnsbhPOT1M2fMMD3+wbHJze1tWqmRP3p0TUlJsWmFh1jeGYDvu0/uz9T0adNMTzSZMH68KigozHhCSKjN+vXr9RJuv1wArpOqe/GSSy5Rq1e/qKZNn256/MNazamOnLG6qVvJyDt0jIgLaWKti9LSdaYnWixaVFQzdMgQ0xK8BAuNEQ0PrLxkLdA4wfXBd8fSbQhGfGGMUDgeqY6c+S6uXOvf4R+j40KaEPjfu3cvtXPn7khZr1gdQdT5c5U2bYIvkkuEAqlLswkmLSc8Ml6Vle29KDqDc5DkUWFdO2Py8/VyfhtG2BiMoN7c/KaOfnECLeFCxmBZcBePit8YqwOLMButwaBItLx54MsNw8J0gYJJk/TvkYgL10yy1re9Xly6vkW8PSQqAm5P2MaGskLmWPHmb1Ru6n5h3SeJE3247Fz4XTg+jV0LfHauF9dcoyLeHuO6gPP5EBQRbv/B0iYiSTgP14SLRgPGTEORJwg3c0JBRMCkioi3D7gqkFg9XDwiKEJYjB0zRl8brrnrGppUxSp3dUJfQgV9gDCkTZs268nAwoKC0Is3sPCBiRkmW5iclIyBQtBwDXAOnjlzRi1d+rQaOfIXaa2+9AtWFhPaabGfl1qYlFRzEYk28RFOAGLAWc217JnloYgmiX1mz35KLwlmZVmYuRj4PYjMIZUm1JfzmQr9FHqmLiDlpYhACPMzRw3ikKliQzEE6q1+/fXX5pn/0OHGDqp58+Y67zbpW8kC6DdEanC8Fy9Zoo+njTKh0o0Lq3o5N4nJx7jh92CVJyDcrp5/It4BgIUxbfo0vfz81xMnBpL4iYu4oGCS3i4qWhRasim+O8Urdv/fbl11hEpEbdq0Ua1zWmvxuLRO8VYrPCyPJpscucVJeN/zpz11siNZSFQbboZUPtq6ZavOckcq1s6dOte6AdaFm+c333yjjnxwRC84AarNkN4UAyMoseKzU6KM9w5iYU5TkHr27NmzaueuHc58pkZBvAX/YeLD+pybmt1OF96D/eK/a8iHFwQscyaSgO/K52A7Ex8nPnr2Yb8XvyPfNVuxxxlfLL+xnRhN9zdhIpFICvaHP5r9eeGTZr+c643BucL78gh7kn/e3Ln6+0dlwZ2Id8AkCqwXFx7/j//PftgfF0GYos3nsALgx8XIdyVm2L4H75ktcKz9NgASb7y8R7oibiNLEkMDG4PXcUx573SvhXSx0SZcO3fccbs+x6KAuE1ChGHjpk2vq7I9ZRfcA5RVwqXQtWs386rafFtdrY5VHKvlVsAVQW1NSrQF4b+sC/7C4uKVqqhooa7C89C4cb5/DiZh/7BihS5JR/6MZFbIRRl8xKTsDcr1xjE9Z4Hq3NfdunZXs+fMSfqYWv9xskWCLRzTJ594QrtyOKbkD/HThYNrkbwrvN+TT/5W5w5njugv7/4lEqtgRbwdIXEyz/ojG4LlvNafGXbhBOtbR1RSucC9gvf/3axZeptE+3HziXNeUPmc9MOzZs4KfNLb3phfeGHVBYFrCv4PQpzusUgUVXzPIx54wLPjymdjHoZ83KR1rXuT4HN3795VffTRUWcnKi+AeAtCOtjhdVhumkTssDsq/spkYDjP74t7KGhXQl2sawGXVUOfBXeDl24sXC/2HOO92U7Hxch+OC+su60plxPukyi4TsTyFlLGWoPEwLpk7boWvZAJNmlYqq4HP+G4E/p64sSJi447oYC4WLZufduX0RfWODUxGZESVdOiRQvtzrGhpYnYkSvnJ25FG4FD5ZvOXbo0+flwnXz80cfOn0Mi3kJKcAETA9u2bVs1c9Ys54aW9vN997vfvRBTHDUIWcOX72q2x7qfb/HiRdqtEuTn5UbNsa6oOKbOWeKm9z/YMFQ+T6rngDUCyssPmx43EfEWksYKI5OqLlsl9nOCM+k7k8R14bYkphM+XlkZaHx4EPTpk6uee26l08dAlscLSREV4QZExC5pRgyjAsP1KAg3INas2MVCxRURJ+GGXrf20oufXEbEW0iKooUL9d+o+JKtgBNOGYUyZERAkMYgCsJtb+Rnvjqj5xcoo0dfOlSes9rvHT5cF8bo16+vOn36tHkmXFhtyqpVlxHxFprEWoSuJuhpCASciTUm0hBHVyE8jUozTE5GRbjtCIwH8wv25p4KCPXw4XnnLPfO6uTJ89XiX331Ff03bBhN2NQBzoLPWxAagjArwqu8WC4dFoSFEW4WdrhdQxC6RhhcFOC3rPtZ+V35fVMNrxuel6cflrlz59SMe+gh0wofwhP9WCXsFWJ5C40yd84cNWPGzNAXA2UCoXZU+U/HOvQbRjUswMF/HAX4LR977HzCMwsjHLJmMnpI1n2ye9cutffdd9TkKVNMj1In/nbCbLkB4YVMxrqKiLfQIEQUICysQIs6hDXi+iFe2BUQOvzcZH10ecKP36xz546mVT9MYKZyg3zppZfUzT+5Rd10002mR6l97+1THTs1/j5BQvz4x0c/Ni33EPEWGoRcGiSpj0MkAd+BpdAsu3YFlp0jeC6PariBDxw4QPvjmwIrurhkpfbhNwY3rc1vvqEtbyYq7ePLL/+hrr/uevOq8CG/UGNpKkLHuE8EoRb4NptK5xk1rG/WBf89n4W5BJezIqbze7GUn0dj7Nq5U393/lrWrHmxpkuXzk7NS3Bs+P6uIpa3UC9Y3cOGDTOteOCS9U3GvmH35AWeyCsV+L1YZZjKyICMkk1Z35+fOh9Z0rXbfzJnrl69WuXl5Tk1yuPYULYt3TBIvxHxFi7ChtW5klPDS/DfkxujqaG936xdu1b90qwCdQ2Wu6f7+yB43JQ2b37D9NTPtdded0Go39i0SR09+rEaOXKUbrsE6ZZZLu8iIt7CRVC2bODAgaYVLxAMco43JS5+Ym+OLvq6WZFKfvlLLrnE9KTOkCFD9M2pIVq3aq3FmjhvFulQInDu3HmqZcuW5hVuQWk+FxHxFi6CqIz77rvftOJHnz59dCX9sHD15ojFzYrUTIvuEnny1VdfNmix9rrtNjV+/ATVo0d3vUiHPOUjRjxgnnULcudTU9VFRLyFWhAWdvnlVzjti80UxIVUoWG5TijGTDFl1+AzeVUtnWXzjeUGmTr1cb2q8uDBQ+rOmI7y/EbEW6gFlXzi6jJJBF9m+aFDphUc3DCwSl1ZBs9knLWQ+UxeTRhGITdIMpBadu87e03LLUS8hVpwol537XWmFV8YDoexAIMbBkUEXADRHjToLl1H1WsikRskCcgJ7ioi3kItWFF5dbt2phVfwlqAgf+UG0fY2IIDjLLqLnf3AhtmF3ZUT5wR8RZqUVlZ4XxmOy/APRCGZcjIptUPWplWeOAuIR+JH8JtwTVVVVVlWtGE8wSDxkVEvIULYI1R7y8b4AaFZRgG33cgJI4wRSZu/cbVMLtk4TzBoHEREW/hAlhjV/7wStMS/CBMK448JU0lmPISl8Ps4oCIt5C1MMpoKBbZL7DiwlicQ+pZW3NSiAdSgFi4ADHe5P0oLnG/bJgXjMnPV7+eODFQMSV7nq0aEyS8byL2MyTbD6n+H/LAn/97cem8VPfl5ecKYl+2309EvIULZJt4h1EhnIs8iAvbBWzt0NGj8/VfwVvEbSJkLWFE1vyoew+nCkII0UXEW7hAWOFz2QTFerMFwiJZoSj4g4i3cIEww+eChonKFi1amFZwXHbZZZEPn0sFl1coRh0Rb6EWYURghAECGsYydeoiZkv4HHnTg3ZLZRMi3kItiPN2uWK2VxyrOKY63NjBtILD5URHXmJHNl4luhIuRsRbqAULK/bt22da8SWsBFzkjcmGeQUMAIorC/4h4i3UgoRN5JuOM6wkZUhP5rugIWET+dLjHnGybds29eOf/Ni0BD8Q8RZqwYKVxqqgxIH3y8t1yF5YBSfI5Ldz5w7Tiifbd/xZ3XprL9MS/EDEW7gIqqD4kePZFTZu3KiG3zvctIKnd+/cc7/vJtOKH9TovPqqdrGuxuQCIt7CRQwaPFi98MIq04oXuEzWv1waqlVol+PbQsRxI+ybY7Yg4i1cBOKCX5YsdHGjtHSdGnZPXuhW4YgRI9SqVfG7QVJ8gZvjHXf83PQIfiHiLdTL5N9MVgt+v8C04gFW99KlS9QvR440PeGRlzdcR53EbeLyDytWqDH5YyVEMABEvIV66X/77fpvnKxvrG4W5oSRkrUuiNvEiY/qRGBxAau7uGSlemjcONMj+IlkFRQaBJ/shEfGq7KyvZG3pBCW/v376nzWrqz6YyTQs+fNuhxZEFVt/IYUu6wTkCyCwSCWt9AgCAqWanHxStMTXZ584gk1atSvnFquzQ1x/rwFatr0aVrIoww3eqoE4Q4SgkHEW2iU2XPm6MiTKPtmqSKDsIwZM9b0uAPuKVISFC1caHqiB6MaRmizZs4SX3eAiNtEaBL83pTQ2rr17cjF7rLYqHfvXmrTps1O+Lrrw7pPsMLtXEOUuGfoUNXzpz19rUQvXIxY3kKTICgs3Jkwfnykhvd81qFD71YLFxY5K9yAtbp69Ytq7INjIreyddbM86XORLiDR8RbSIpp06frQgKjRo6MhIDzGfms3HSGDcszve7CzWXlc8X6ZhMVAUe4yYPzwurVpkcIEhFvIWkWL1mi/7ou4Fa4O3bsqG86UYERDq6TKAg4wr3xlQ26Bqj4ucNBxFtIGi5Sa2W5KuCIXhSF25Io4K5OEluL26Wwy2xExFtICQT85Q0btDgOGnSXUxYiYofoMXkWReG2WAEfOHCAjpRxBW7WTE4ePnxYvfba6yLcYUO0iUusWfNiTU5OK/1gW3CX0tJ1+jiVlBSbnnCorq6uWbSoqKZTpxtrtrz1lumNPsePH6/Jze1dUzBpkv6OYVK2Z4/+fWfOmBH6ZxHO45x49+37s5q5c+eYluA6VmCGDhlSU15ebnqDg/fk/fNHj66pqqoyvfEBoUS8EU5ulkHDb2rfHwEX3CFj8f7iiy9qxj300AVreXheXs2BAwf0c9aKTgRx5vXAX15v/2/dB7CPLl06X+jj/296/XX9HPBe9NnnE631RCuefST+P8FbsL6tZRaEiCLaCHZYohY09ibFI4jRBTeNxGMq1rZ7ZCzeWMmIpz24iDFtSEa8eX7Xzp01FRUVeh88by1vhDlRkLlR8DxCbNtsT50yRbeXL1+mX8//s6Jf90Zi24L3INpc6PzOWGt+WGoIlxVtxCXbRIXvb0Wcm5bX35+RlD2GQd2IhfTIWLwR4ETxTiQZ8bZCbEkU7/rgObtPu3+Evy7sFzFPhBuLFXrBPzgXEFYExlpuCHk6QoN4IFjsg33hnqGdbaJdF34DbpD2RomQI7zpgFXPnIE9XmyLaLtPxsvjDx48qAYPvktv3/yTW1Sv23qphx8er9tr165Rjz8+VZ08+bluQ79+fdVV/3OVenbFCvWwSR3JtoXnc3Nz1dSpj+s2M9zPPPO03i4/VK72vvuO3maf8+bNVecEWn300dFasaanT59WPXp0N63aDPj5nbXeT/AXolF2796lq7VT9Lddu/Y6lwfZ56DVD1qp77dsqberzh23U1+c0tu8nnwklZUVql/f/qr/7f119RsprVUb8oqUHzqkC/5SNxJIJtbhxg6qefPmqlmzZqp9+2t0/7fV1epYxTG9/eGRD9WJEyfUe/v36XqeROh079Y9FtkNswXPcpsg1Ec+OKLW/nGNuuKK/1abN7+pduzYnpF4V1ZWqj59euubQucunVVOTo767LPPtGAnI95z585TI0Y8YHpTo02b1mZLEAQheBJ1s14Qby/BhcFQjslB69ZIHOLizkh0m9htS6LbBLdHXbcKr0/WbSIukmhgj6fgH/Ibx4+MF+ncO3y4ftjVdu+9t0//7dqtm2rd6rz1+tprr+q/WOdffvkPvZ0MDPt4PRY4PPvscrX5zTf0NuTm9tFW/vMlJbq9e9cubTHzPoWFhXoU8Iap0o1756abuujnBEEQok7G4r1o8WL99/rrr9XCuXDhQrV82bOqZcuWqtdtt6nx4ydo1wnPle0p0y6QZBk0aLB+Pa4T/v/uXbv1/gBB5z2Ki0vUgYMH9PO/+OUD597rCe0q4cH2+AkP6+fwy+fl5aXtRhEEQXAJyectCIIQQSS3ieAcuOCef77EqbweUYH8LiSOcjFpmOAtIt6CU1ALkYRXM2ZMV9XV1aZXSAUquFOZhxugEF9EvIXQYU6CeHCqj993/706tlvIjDNnzugbYJ8+ufqGyG8sxAvxeQuhg7CweEdE2x9atGihxbzJuGEhUoh4C6GDeCMs+Lhnz35KCw3MmDFTjR6dr7eF5MDnTR5wS0FBoa6aTzSYiHe8ELeJ4AzUmiwr26vG5I81PUK6kFJg//4DujCwlCmLJ2J5C06CD5yICZervrsIuU6OV1ZKjpIsQMRbEAQhgojbRAgdiYTwH/mN44eItyAIQgQR8RYEQYggIt5C6LgQwoZbwWacJM+8zTVfH4mvTdx2GQkTjB8i3oJQB4qDJFttCVGUTJVCGIh4C1kDOd3JPY+1zAPrmqpLdalreT8+9XxKYx5sJ5Joedt9Ug2KbfLH23zywPsnPsdr2RaEdBDxFrKGqVOnqCuvvFJby/v27Vf73tunVq9+wTxbPxQA2bptq9q+facut/fpp5+aZ+qHfc6bN1+/R48f9dD55IlX5yYxZky+LvHHc7NmzqpVWEQQUkXEW8gajh792GwpXcjj4MFDFwpdN8TKlSvV2LFjVbt27fRKxd899ZR5pn769+t/zqq+SW8PGHB+mTrCTT1XqkI98sivdd+dAweqEfeLu0VIHxFvIWugIDWl8XBV4P5oaqIR0UVwc1rnmB6lRbwxqNpeF1LbUjj72muvq7VUvb7XCkKyiHgLWQMTi7g+KKWH+4PyfPjABSGKiHgLWQWWL66Sl9at05b43nffqXfSEnCtUOD6s88/Mz3na6emQ05OjnbbJFa4OfLBEbMlCKkj4i1kBYgm7pJ58+aaHqULYuPKQKQborCw8JzIz9GRIlC0cKH+myq5uX30jeCZZ57WbfaHC0cQ0kXEW8gKsLhfffV1tWPHDi3iPM6ePauWLVtuXlE/uFpwswwefFdGYX3cIIqLSy68P5EnA35+p3lWEFJHsgoKQkgwCkDMt2172/QIQvKI5S0IAUBkCxb37l27dBvfeWlpqbr77rt1WxBSRSxvQQgILO3ly5eZltLumKbizAWhIUS8BUEQIoi4TQRBECKIiLcgCEIEEfEWBEGIHEr9Pyg9/QJ/8ehUAAAAAElFTkSuQmCC\"/></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">The model assumes<br/></span></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">• during contact with the surface the ball slides.<br/>• the sliding time is the same for both surfaces.<br/>• the sliding frictional force is greater for clay than grass.<br/>• the normal reaction force is the same for both surfaces.<br/></span></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Predict for the student’s model, without calculation, whether θ is greater for a clay surface or for a grass surface.</span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"F = \\frac{{\\Delta mv}}{{\\Delta t}}/m\\frac{{\\Delta v}}{{\\Delta t}}/\\frac{{0.058 \\times 64.0}}{{25 \\times {{10}^{ - 3}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>F</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>m</mi>\n<mi>v</mi>\n</mrow>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>t</mi>\n</mrow>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mi>m</mi>\n<mfrac>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>v</mi>\n</mrow>\n<mrow>\n<mi mathvariant=\"normal\">Δ</mi>\n<mi>t</mi>\n</mrow>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mn>0.058</mn>\n<mo>×</mo>\n<mn>64.0</mn>\n</mrow>\n<mrow>\n<mn>25</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>  ✔</span></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"F\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>F</mi>\n</math></span></span><em><span style=\"background-color:#ffffff;\"> =</span></em><span style=\"background-color:#ffffff;\"> 148«<span class=\"mjpage\"><math alttext=\"{\\text{N}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mtext>N</mtext>\n</mrow>\n</math></span>»≈150«<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"{\\text{N}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<mtext>N</mtext>\n</mrow>\n</math></span></span>»  ✔</span></p>\n<p> </p>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong><span style=\"background-color:#ffffff;\">ALTERNATIVE 1</span></strong></em></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"P = \\frac{{\\frac{1}{2}m{v^2}}}{t}/\\frac{{\\frac{1}{2} \\times 0.058 \\times {{64.0}^2}}}{{25 \\times {{10}^{ - 3}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>P</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>m</mi>\n<mrow>\n<msup>\n<mi>v</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mi>t</mi>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mo>×</mo>\n<mn>0.058</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>64.0</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>25</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>  <strong>✔</strong></span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"P = 4700/4800«{\\text{W}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>P</mi>\n<mo>=</mo>\n<mn>4700</mn>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>4800</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>W</mtext>\n</mrow>\n</math></span>»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></span></p>\n<p> </p>\n<p><em><strong><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">ALTERNATIVE 2</span></span></strong></em></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"P = {\\text{average}}Fv/148 \\times \\frac{{64.0}}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>P</mi>\n<mo>=</mo>\n<mrow>\n<mtext>average</mtext>\n</mrow>\n<mi>F</mi>\n<mi>v</mi>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>148</mn>\n<mo>×</mo>\n<mfrac>\n<mrow>\n<mn>64.0</mn>\n</mrow>\n<mn>2</mn>\n</mfrac>\n</math></span>  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"P = 4700/4800«{\\text{W}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>P</mi>\n<mo>=</mo>\n<mn>4700</mn>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>4800</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>W</mtext>\n</mrow>\n</math></span>»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:bold;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p> </p>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\">horizontal component of velocity is 64.0 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> cos7° = 63.52 «<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">ms<sup>−</sup></span><sup>1</sup>» ✔</span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"t = « \\frac{{11.9}}{{63.52}} =» 0.187/0.19 « {\\text{s}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>t</mi>\n<mo>=</mo>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mn>11.9</mn>\n</mrow>\n<mrow>\n<mn>63.52</mn>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mn>0.187</mn>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mn>0.19</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>s</mtext>\n</mrow>\n</math></span>»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"> ✔</span></span></span></p>\n<p><em><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Do not award BCA. Check working.<br/></span></span></em></p>\n<p><em><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\">Do not award ECF from using 64 m s<sup>-1</sup>.</span></span></em></p>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><span style=\"background-color:#ffffff;\"><strong>ALTERNATIVE 1</strong><br/></span></em></p>\n<p><em><span style=\"background-color:#ffffff;\">u<sub>y </sub></span></em><span style=\"background-color:#ffffff;\">= 64 </span><span style=\"background-color:#ffffff;\">sin7</span><span style=\"background-color:#ffffff;\">/7.80</span><em><span style=\"background-color:#ffffff;\"> «</span></em><span style=\"background-color:#ffffff;\">ms</span><sup><span style=\"background-color:#ffffff;\"><span style=\"text-align:left;color:#000000;text-indent:0px;letter-spacing:normal;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-variant:normal;font-weight:400;text-decoration:none;display:inline !important;white-space:normal;float:none;background-color:#ffffff;\">−</span></span><span style=\"background-color:#ffffff;\">1</span></sup><em><span style=\"background-color:#ffffff;\">»</span></em><span style=\"background-color:#ffffff;\">✔</span><em><span style=\"background-color:#ffffff;\"><br/></span></em></p>\n<p><span style=\"background-color:#ffffff;\">decrease in height = 7.80 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 0.187 + <span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span> <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 9.81 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 0.187<sup>2</sup>/1.63 «m» ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">final height = «<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">2.80 − 1.63</span>» = 1.1/1.2 «m» ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«higher than net so goes over»<br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/></span></p>\n<p><span style=\"background-color:#ffffff;\">vertical distance to fall to net <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«</span>= <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">2.80 − 0.91</span>» = 1.89 «m»✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">time to fall this distance found using <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«</span>=1.89 = 7.8<em>t</em> + <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span></span> <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 9.81 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span><em>t</em><sup>2</sup>»<br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em>t </em>= 0.21 «s»✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">0.21 «s» &gt; 0.187 «s» ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«reaches the net before it has fallen far enough so goes over»</span><em><span style=\"background-color:#ffffff;\"><br/></span></em></p>\n<p><em><span style=\"background-color:#ffffff;\">Other alternatives are possible<br/></span></em></p>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><span style=\"background-color:#ffffff;\"><strong>ALTERNATIVE 1</strong><br/></span></em></p>\n<p><span style=\"background-color:#ffffff;\">Initial KE + PE = final KE /</span></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span> × 0.058 × 64<sup>2</sup> + 0.058 × 9.81 × 2.80 = <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\"><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n</math></span></span> <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 0.058 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> <em>v</em><sup>2</sup> ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em>v</em> = 64.4 «<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">ms<sup>−1</sup></span>» ✔</span><span style=\"background-color:#ffffff;\"><br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"{v_v} = « \\sqrt {{{7.8}^2} + 2 \\times 9.81 \\times 2.8} » = 10.8 « {\\text{m}} {{\\text{s}}^{ - 1}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mrow>\n<msub>\n<mi>v</mi>\n<mi>v</mi>\n</msub>\n</mrow>\n<mo>=</mo>\n<mrow>\n<mo>«</mo>\n</mrow>\n<msqrt>\n<mrow>\n<msup>\n<mrow>\n<mn>7.8</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n<mo>+</mo>\n<mn>2</mn>\n<mo>×</mo>\n<mn>9.81</mn>\n<mo>×</mo>\n<mn>2.8</mn>\n</msqrt>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mo>=</mo>\n<mn>10.8</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>s</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span>»  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span> </span></p>\n<p><span style=\"background-color:#ffffff;\">« <span class=\"mjpage\"><math alttext=\"v = \\sqrt {{{63.5}^2} + {{10.8}^2}} \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>v</mi>\n<mo>=</mo>\n<msqrt>\n<mrow>\n<msup>\n<mrow>\n<mn>63.5</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n<mo>+</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10.8</mn>\n</mrow>\n<mn>2</mn>\n</msup>\n</mrow>\n</msqrt>\n</math></span> »</span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"v = 64.4 « {\\text{m}} {{\\text{s}}^{ - 1}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>v</mi>\n<mo>=</mo>\n<mn>64.4</mn>\n<mrow>\n<mo>«</mo>\n</mrow>\n<mrow>\n<mtext>m</mtext>\n</mrow>\n<mrow>\n<msup>\n<mrow>\n<mtext>s</mtext>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>1</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span>»   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></span></p>\n<p><em><span style=\"background-color:#ffffff;\"> </span></em></p>\n<div class=\"question_part_label\">biii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\">so horizontal velocity component at lift off for clay is smaller ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">normal force is the same so vertical component of velocity is the same ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">so bounce angle on clay is greater ✔</span><em><span style=\"background-color:#ffffff;\"><br/></span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>At both HL and SL many candidates scored both marks for correctly answering this. A straightforward start to the paper. For those not gaining both marks it was possible to gain some credit for calculating either the change in momentum or the acceleration. At SL some used 64 ms-1 as a value for a and continued to use this value over the next few parts to the question.</p>\n<div class=\"question_part_label\">ai.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered although a significant number of candidates approached it using P = Fv but forgot to divide v by 2 to calculated the average velocity. This scored one mark out of 2.</p>\n<div class=\"question_part_label\">aii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question scored well at HL but less so at SL. One common mistake was to calculate the direct distance to the top of the net and assume that the ball travelled that distance with constant speed. At SL particularly, another was to consider the motion only when the ball is in contact with the racquet.</p>\n<div class=\"question_part_label\">bi.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>There were a number of approaches students could take to answer this and examiners saw examples of them all. One approach taken was to calculate the time taken to fall the distance to the top of the net and to compare this with the time calculated in bi) for the ball to reach the net. This approach, which is shown in the mark scheme, required solving a quadratic in t which is beyond the mathematical requirements of the syllabus. This mathematical technique was only required if using this approach and not required if, for example, calculating heights.</p>\n<p>A common mistake was to forget that the ball has a vertical acceleration. Examiners were able to award credit/ECF for correct parts of an otherwise flawed method.</p>\n<div class=\"question_part_label\">bii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This proved difficult for candidates at both HL and SL. Many managed to calculate the final vertical component of the velocity of the ball.</p>\n<div class=\"question_part_label\">biii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>As the command term in this question is ‘predict’ a bald answer of clay was acceptable for one mark. This was a testing question that candidates found demanding but there were some very well-reasoned answers. The most common incorrect answer involved suggesting that the greater frictional force on the clay court left the ball with less kinetic energy and so a smaller angle. At SL many gained the answer that the angle on clay would be greater with the argument that frictional force is greater and so the distance the ball slides is less.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Show that, when the speed of the train is 10 m s-1, the frequency of the periodic force is 0.4 Hz.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     Outline, with reference to the curve, why it is unsafe to drive a train across the bridge at 30 m s\n     <sup>\n      -1\n     </sup>\n     for this amount of damping.\n    </span>\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    The damping of the bridge system can be varied. Draw, on the graph, a second curve when the damping is larger.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   time period\n  </span>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    T = «\n    <span class=\"mjpage\">\n     <math alttext=\"\\frac{25}{10}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n       <mn>\n        25\n       </mn>\n       <mn>\n        10\n       </mn>\n      </mfrac>\n     </math>\n    </span>\n    »\n   </span>\n  </em>\n  <span style=\"background-color:#ffffff;\">\n   = 2.5 s\n  </span>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <strong>\n     AND\n    </strong>\n    f =\n    <span class=\"mjpage\">\n     <math alttext=\"\\frac{1}{T}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n       <mn>\n        1\n       </mn>\n       <mi>\n        T\n       </mi>\n      </mfrac>\n     </math>\n    </span>\n   </span>\n  </em>\n </p>\n <p>\n  <strong>\n   <em>\n    <span style=\"background-color:#ffffff;\">\n     OR\n    </span>\n   </em>\n  </strong>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    evidence of f =\n    <span class=\"mjpage\">\n     <math alttext=\"\\frac{10}{25}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n       <mn>\n        10\n       </mn>\n       <mn>\n        25\n       </mn>\n      </mfrac>\n     </math>\n    </span>\n    ✔\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     Answer 0.4 Hz is given, check correct working is shown.\n    </span>\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   30 m s\n   <sup>\n    –1\n   </sup>\n   corresponds to\n   <em>\n    f\n   </em>\n   = 1.2 Hz ✔\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   the amplitude of vibration is a maximum for this speed\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   corresponds to the resonant frequency ✔\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   similar shape with lower amplitude ✔\n   <br/>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   maximum shifted slightly to left of the original curve ✔\n  </span>\n </p>\n <p>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    <span style=\"background-color:#ffffff;\">\n     Amplitude must be lower than the original, but allow the amplitude to be equal at the extremes.\n    </span>\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The question was correctly answered by almost all candidates.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The answers to this question were generally well presented and a correct argument was presented by almost all candidates. Resonance was often correctly referred to.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  A correct curve, with lower amplitude and shifted left, was drawn by most candidates.\n </p>\n</div>\n",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Identify, on the HR diagram, the position of the Sun. Label the position S.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    During its evolution, the Sun is likely to be a red giant of surface temperature 3000 K and luminosity 10\n    <sup>\n     4\n    </sup>\n    L\n    <var style=\"color:#222222;font-family:sans-serif;font-size:13.93px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    </var>\n    <sub style=\"color:#222222;font-family:sans-serif;font-size:80%;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;line-height:1;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     ☉\n    </sub>\n    . Later it is likely to be a white dwarf of surface temperature 10 000 K and luminosity 10-4 L\n    <var style=\"color:#222222;font-family:sans-serif;font-size:13.93px;font-style:italic;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    </var>\n    <sub style=\"color:#222222;font-family:sans-serif;font-size:80%;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;line-height:1;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n     ☉\n    </sub>\n    . Calculate the\n    <span class=\"mjpage\">\n     <math alttext=\"\\frac{{{\\text{radius of the Sun as a white dwarf}}}}{{{\\text{radius of the Sun as a red giant}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n       <mrow>\n        <mrow>\n         <mtext>\n          radius of the Sun as a white dwarf\n         </mtext>\n        </mrow>\n       </mrow>\n       <mrow>\n        <mrow>\n         <mtext>\n          radius of the Sun as a red giant\n         </mtext>\n        </mrow>\n       </mrow>\n      </mfrac>\n     </math>\n    </span>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   the letter S should be in the region of the shaded area\n  </span>\n  <em>\n   <span style=\"background-color:#ffffff;\">\n    ✔\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <img height=\"463\" 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\" width=\"740\"/>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <img height=\"117\" 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24NZ/Wy4YG7AsczJSFJ0P+FRv8IG2lJK+rQhBK1C3+l3kTkeElmsONJsiQgFtTNK8k0jD9cy2QMqBbKosnTYUWOmb9fnMS0ga1K4JvEo4e9gwTXp/4k7+iCy8ohdBW+c7CmQYpfBG0da0c7NuvTxfL/Xea6ldMchZV2YENPv8hWba/J4aFKGI3zl6RQ2fEFs1qqhNZ112GEI6UZnsxHadBUViwrUb1qB+wI+87EzuF1AWxv2b+vsg8h6Q2zee8OtKyF2Vbwhdil8PN//df5GpGVMwLEI6LYHtNoOKDwaPGMRlzwXxaUFSNlchMd6Td+OArg+/YlbJQyADOVcxfEIaIX3XzAES7U8UtbnKEPWEEZFY3wmHs+9CQ0FL6C88bywP4pI9WTo7Q/iCIUXeo1WCCMVXnCOvPh4vt/rvP0+U4WtcKb/JSw25+r2YH+ryzoGHm6orY725qStz9EDZ/R7H1VULySH/zhib8GMB2fThupulG0/JAznfYHq7CTBIOpMkeaol+/TXxE2/Iy9+W9F3baP0OreXudGZqoaJURa7Mrsx7b9bW7NfLGsXLsMPp4foDp/xTFqE770XzD4/peGZvYOPPvib50V3WZFY6UOq9fTAtXcrXC4LVIRjXNy/dZYDEubgUX0xWRdX463XRaJJerMuCLaPLotqBl3GNnpy2E4HjmiETC4YeJFavpwbsCLZbWOpeG8N/QXS7CePsiaBe6jM2JeU6F5dh3K9oqeyThPZVvx4uoKWlZTsMAxZ8TX86O0zpOLvCc3w8ulKC3dir+elfBDQyupd+Rm23Fws9U0Lgt2eiRf1pKEAVfeJTk3JZCcWl+uWW7mnyviDE9xRuHnxJiVSKhgkB6T34V1CsqmF7vzNanNSSA35bzb8zsDCL9+xlPdUIKX+iW7PsfjWhIxryU+w80u7bWWxMfz/Vzn+52H/eYbcsr4JBkt3EPczA3kk46rwjEnfmhhUGJTkVOxCzV6LVx9A3FDiEbz74LstCUEyM78c2UIkqbcDQ19X0k2sUViR2LSrB/DajyEz0LpbCxMiE1+CBXmXdBrqWw4GIMsnRHmN5d6cD8wBMk5G2GueZ0foXKgyoLOuAtvrpjo1hL08fyoqvMEVz9/F+ue1uMzbjNuDp5fmwX1sEH80R4IwsEQ4d8cC/2+xkMaDy0MSt8X3nFvyoWyi9/8zZXaHHLTTTmkNlhNmigkpHloO032LJ8ktI5uITN1fyUdNuGYG/5pYTAYjAilG1/vN6B4w8f8VtzMFVj7aBqGxfCbvWCCEZZcxdlTrTiRmIRbb2bxQxgB5Ntj2Faqxyf8xlSsKH5QuisiwAQjHLGdxse7/wLVvAkYHUy9sJ1C9cpSDx7IOYfIVSjccLDX5KLYhLugVt+FBFab+kxo8vAKLO+WY+Wf2ujfcRj92HIsmXIzPDQueFgRhxs2Kw5ufA7L3vspXn1iCoLqETP2FmiybkZlzjo30bCLxdInTyLjgXEeho0ZEcfFw3iz9C18zf0d93M8/dR0qOTUghJlgnEO9YVpvSZCSaf5MLg6zA0hJwrScI14XYPiMffwOFQ2rA1B/JBYxKUuwqaNCS6iIYpFG7IrigK0YI4RfK7in/VbsfZjTi5uwKSiZbhv9Hfsh2SIMsEYjmklZmHRl7e0HbnJoZ5YcwsyK1t7XZulcjlmJofK27araKxB9d7XmVhELJdg/eA3eGxaMmKSH4XhWAc/yYLnSgveeWOnvXVxwwPIz/Fs6HSll2D0fhOHZwoHpK4rGCnwcKKxAM8sOI55mjcwonCp38RC6n4GQgoNF3H6YC227PsM+Ox3yPvF8/jj51yrmuDip+/hjZ2c7YK2LlY+jLvjr+E/4Y1eguH+tgvXFA5IXVcwUuDhuiHb8OK2VBjrHsGZkk1eQjEqR+p+BkIKDTcg7amXULlEbd/8bCOyH9+MYxfP4MMtW8EPpMbdg0d+fge8d0bsMBsGww1Xm8WzyJz5qJtNgxFRDP4+fqF7DS//PIHf7PrTGix/Toeqyr/x2zc89Evcq8B2IcJsGAwXpAycUoZQRiQREzcBSzb8Cg+P5sa3vsDeX2/AVt54MQXLFk7Cd33oMYWXYHQdROnUsYEN48fwjO0L1G0+K2HgFEXjNtS+dTj6HABFPTG45rY5WPWrPIwW9vBMmos5ahnv9hKEkWCcR2P5Cyho+EbYZgSd2FuRuTbfg4HTLholy90XbTEigyH43s+fxK9EewZuwOQHpmPsd3wzyIaNYNhaqrGygAsczIg0bG0forHxQ7SFufOXcCYoecjbM/6Iwx/Uo/6vH+HtR++Er2Nf4SEYtlOoKanCqLe2Yl3owrX7ASVGV9rlKq1GI7MFyMA5rqlGafZYIc/iMbXQgHqPXsguoKXegMKp8c58nloIw85GWKUewK4W1BsKMdVRJtz3/w47G62QfF59PT+MiYm7BT+4ayqm/igVqiF9ePxJX+CCyKYnyiyh9iXatj0IbmKukbRfMhNdYiLJMn4uHAsB/VneLutUxS15dPzSXyJ9eTsX/T2XqKTyjNahol5R4QMcRNkfQZcVECkuAnwXjO52YirihMBzwGGfom3z3pYET1VXwkAw+uRxS8CbZzIOR/55i7/aV4Lvccufld1Rd9K1pMJsEepXB2k2FklHeBfzPCBBlH09v+9EpWA4I2bTgvAoGKK7OiXRtr8mZt1c51sgogXDpXJ5qUR2l3OeBbd/RLJgiG7ypMRUyg1ioIMo+3p+34kUwVDWieGdmxZievwUrNgcjxXahaAPhjSiJ2fNcjyzIgPJgvu0WNWPsfyVjdCqXILaXj2BfeU1aCj4EYZyfcNr0lBw4gQ2z/sekkobEVne6URHwGosyrhTZpUp7Z8fPYQjwhbDlSFIzt1OX2JmlEwbLuyTI8BBlH09fwCgTDC6mrC9qArQbobZshPPZ9wqHOiNT9G2B6uR3+oymeqKGbSFAdrCQGu+GiFxHRP7fdylnoy7Enyd1CUf0JeHN54V46F5m2BVZWJxxm0BsDoPQcJdk6G+6/sB+O4Q4fDGbUG6Lh/zHRPuAhxE2a9Bl6MDZXUq7nY8sLsRppJFUMsuQrL1Mdp2FCC+jbADeSn/Doe13jUNTcH0vPVogAZFW4owN+jL1wND7PDhGBoIdbIdhyEjnl/yn5ZzGBMraiSc9zKCibJijlVh/Hi5sPx+gm9xtKIy8xZhR+Rga/0I2+ro20gOzgP1jt20lbYLa6eNjJoWQGzSPZg/TIXBF/38nhXf8Dx1WJ8zFwuf3escKnWItBeO9C2IcvACjdtwcbAK1+ctwn+FuUdGP9fZPkbbjnjElhXVBK0JHWIXi0udTTBy7vFVudDXv4L8+37mpZUWgXBdzcRT/m81DpuGEouQj90WHCibieZ12VhYJrgJDHAQ5eAFGueem1NI7Pf3BB4/C0Yfo22HE3wlHCpsKEXG4BmXiszi1dClvIe8x/RoFCJ3RRWxCZiyYGhgXwK0lTvxySKsodrbUFaDg5wNLGrgbDEdERF/OFpaxX6m3cfK78XgGTcOv3w8E6oGHfIDHr09FJWPe1F8F8eCbvwLcBDlYAUa57pWxya4Rf0PT/xcp8ShLC94jRAWSrhKeJ1vlm9xKNnjfV2LkTMy+didkm9HyanHVX2bPs73668LcguOi02ajjuqZaK5KUKcWu/BV0mvUYsAB1EOUNBld3j715UEiZGY8MPvV9i3aNvhBBfOcDqu8cGQ5TCOyd2XGFTYWoGSt1uclZtb0j87HQ/9eQRW0paB3e5Rj8exBWkLN/neheEeqhO3Bl+Qufu746DEg+ULN2Li/AeRzgc51uOgi2A6gy+PQe7i6ULw5UAHUQ5G0GVuXk4zvu+4pzCHVlAfkZtdxyHOjnOf6XmAVPBrSwI1w9GPcNONZykNjOstP5w4ggo7pjcLMxul1pV4Xa8jDfcbs/w0Xdk3uHwoJppeQY59hZv9O4vWE242sXtSkfSiOmLpkSEBDqLs56DLveC+f1axX2aLBoMACAY9o0/RtsMJTvQWK1yAJjed2Q1H5ROmGvPbvouCZ4K/8KwHfOV/khjb3RcY+koHaTa9RXSOZQjcWg4d2WES14q40W0h5prXiTbd5cHm1pYYzW7iYqfbYiY1eq19bYrL9xsda1d64uv5yrGL7KxQlVcfCIhg8It/zLvcVqtyLQ6jxGrVcCRIBckvnPLjIjRuZeVirR8e2L7STTrNG2k597eVMUDgWpFZGyPgBeqkD70m2m+cthYWYkFtbqoHI8i1UKnvRW5Jrb1PzqcjqMzPjJA5CIIRb9t7+FtQh0Gvwlq9BD1mh2ZXK5jXYsfWaoLhugzMCNkM0ljEqXNQdOM7WF9/WrnReEDCeZh7E3giC+oIMHaKRM6VBpthk5G34Ch+U/dF4Co+P2x33mVEZjBUmeWCwHbCrKONYMWcQ4P+IDLzJgc3vGIvhiE1ZzHSG15DxXFPDm8GOhdw3FCGnRMKsEJ9vbAvMmCC4ZEhSJ6/GLfv3Bm4VgY/4WkC6qr625KxoavxTVTenOuyMCuExI7EtBfyMflABSqZaLhBxaJSj7oxj2FVJC4P4PolDE/QPnnTZqItdrfM+5HOI0SfNaang5bOZmLijWwSVn4pwrYvzHle20eMNdLGx4EGbzw17o4QO540Mdz/BO1gSHIZ1vqX8VLb3SjOHROYuf7cxK09f0LlEwXYzBssVEjX/i+emn8vZqu9LPrrOgrD6j1IeOoJFvuUEXCYYCiCC/CzA+UH7sCS7ACJRl+gYlFZfhC3P/gQJjKxYAQBJhi+wLUE6lpx3aQZIR7t4WYyvo+P2/8Tk2aroWKWKEaQYILBYDAUw95NDAZDMUwwGAyGYphgMBgMxTDBYDAYimGCwWAwFMMEg8FgKIYJBoPBUAwTDAaDoRgmGAwGQzHKBONCPQrjXZy6SKX4bJRWNzqjUjEYjKhDkWAoChln3YyCebOdUakYDEbUoUAwnAGWNfomdPPeoHqnbksditKjMSoVg8EQUSAYYsAW+QhPsaq7kLNoSnRGZmcwGDzeBUOMkK3SyIdys32Jo39pEjYYDEY04l0weoWnc4d2WVrqYSh6FPMMR6HKfQAZ/YoExWAwwhWv/jBsLQbck5KHOmFblvRVML1ZxFzFMRhRipcWxrdo3b/Hq1iosnTYUWOGxfQ8EwsGI4rxIhhdaG8+Sf9VQ2s66zIq0o3OZiO06SoqFhWo37QC981hruIYjGhH/hH3aPCMRVzyXBSXFiBlcxEeKzezuRfhAh9ZvBBThQl18dmbekRBZzD6g7xgyBo8qWiMz8TjuTehoeAFlDeeF/YzQsdlnK55EbMrRqC0sxuk8wjWoBxzX9oPFk6I4Q9kBMOGC+b3UUX1QjUuASOkzoy9BTMenA0VdqNs+yGhUn6B6uwk+3RxlxSfvQF7W1i1DSi2k6h9bQ/GLroH4zmBjxuD3MojsJRMC2D4RBu+tR7CbsMrKC19CRV//ZKPvs2ITmQE4zLOtLXCSuVgbEq8h1gcXNDiGVikAqzry/F2y7fCfiBRZ8YV0ebRbUHNuMPITl8OAwudFzi+/Af+XHe97AQ7/0Jw9fMaLP/pT3Fv3hMo+N8GnBt8jXCMEY3I1CvR4DkFC6YkeD6RC1q85n76x35s299G3zcSxKow8ckX8Oo9B/Hs782haR5zffvqUmQ7FtFloNBQj5ZgRGfvOojSqUnIMByXzh9xLkthhnBt4vW9g0Yf7A9XLSfxF9wEnHhDuM94TC2s8uk7fOJqG/60bi3KP+MsWLdg5vNFeFR9I2LsRxnRCDcPQ5LuJqLXqAhURcTUIR8Ys7tZTzTc60ajJ83dnxNjViKhLQxCWxguXCEW42JCmx7E3PNA4OluI8bcMVxLuXdKX0VMgYx12d1OTEUa+lsqotE3Eamc7G43klyVxLXx11emOGbqFbOOJHLxWLVG0sx9RvhtVa6RtCv7Ch+4Qr7cU0hSheuMm7mBfNJxVTjGiFY8C0af8SQYYoVeTIyWYCrGJdJuXEpU/IO02SUQLhco2Ei06aoAPVD0Fyz7SVmWKFSeBOMsMWnV9PgYkqXbY3/QKc7PqonWdJbfRzOQ6BJdxMQ1USE++A9OuO8n+uZv7OfTX+swFRGVAtH3FdtXDeS5H95g/+24OUT3yf8Rm3CMEb0Ep6sbSnhDYDWsqhwUP/OgS4hD+9DwM8U5gOEt1LY67S/9RhjanB4/BSs2x2OFdiFUwqFeXPgUtVWNgGY5nlmRgWRhNCpW9WMsf2UjtKpGVNV+au/GDVYjv1WcC+OWWvPxw5EJGOfxh/xJF/6x7bco++Rr+vcN+OGK5chjXZEBQRAF4yrOnmrFicQk3HrzYGFfEPA2NDwqCWPl7C99oasJ24uqAO1mmC078XzGrcKB3oi+RiRHouLikTJWBWvV+zArcRkwbALmr7iIZ0vexWnudCpc5vepGC2agbRh/itqYqnDr1dus8+9GZ2D55ZMxg1MLQYEwRMM22l8vPsvUM2bgNFB1AtlWHGk2dJ78pntFKpXlqJe0mjIRXSvQuEGCYdBcbfjgd2NMJUs8hK02elrRHIkKnY4EsbF++Ay4HqoV/wONWN24oeDYhAz6IdY3b0YDcXpfhxW7cChN3+H33ONCyRgztOPIEPFRkYGCsERDPqmO7jxOSx776d49YkpAZwTIIHwlsblDnRedH9LX4b16CH6wHog9hZosm5GZc46N9Gwi8XSJ08i44FxEg+6CuPHq4LZfHPCjUgtr4SF76pYsK8k09HN8Qfknx/ijbV77BuTHsPT96WAycXAIWB1+kRBGq4RhwgHxWPu4XGobFiLzJE+LE5T4ktUTBkGtEi12mMTMGXBFKBBh/zVNS7DqBfQsncTVi7bRNsXnqBdltRF2LQxwUU0RLFoQ3ZFf1fminNdvHESze3BmnxPcNX6Z7zyWAaSYibgYcOn6OJMmzwX8dk7f8AWvnWRiofzH8CPhg3ijzAGCGQg0HmE6B2jFa5JQ7S6FSSd/q3SmkiHcHpvuklnUwXJ0hQTY91v6b++DMUKIxWSoyRyxzjEERTXkY9AQ+/1kzIyNU7MIzVZYjxpH/H610GimySMjEwqJeZ/sXGRgUavFobk2zsIKaBwU6Q3GWHSa0HFgYdbkm80V+DFn9+Ba2Vns3JwLY0FeGbBcczTvIERhUujeBk/vde0x1BR+SRG89uNKM8uwhvHzuOrD3eg7GOueZGAOY/cgzu/wyydA41egkFFJCQp4MQlY1puCfYJv2epzEem+j9xkTc6yvsrtXdDtuHFbakw1j2CMyWbPBhCfUUcpfGCKgkJI4IpUEPwvV+swo6X77eLaNc2FCwvxq+qdtm7TzfMwSP3JjPbxQAkYDYMv+APGwbOob4wDTHxy1B92v0hFxwcy/ordbVZPIvMmY+62TT6R+wIbu6EFXXbPkKr+/WLczQ8ukcMIDHX4wdLXsQbD4/nN7v2vgrd1uP0rzikLsvET74bdkNdjGBA37ZRjutMT2HKNEe3hZiNOpKlovt1B0infa8bou3C3Wbhab8USu0U7jM9D5AKrfyU8sBjI1dOGcmS0XF2uwWf7iY683nhOGOgMQAEg+LR6AmiyqogTZ7WanBrUIp0HkSBE43NRFvmSWxEvAkGPUNciyOVfFhLEhi+IaeMT5LR4vVMfpkcvsSMnQOVgSEYHJ3NxKTX8iMifMVXZRGd0UwsAX8WvQsG1wqymHcRPd+iEK6Pb3EYXda+hBBbJ/n88IfEVP9XcszyL7ZmZADj1Ws4g8FgiCiwpAlGQylDoyONRXZpdeD8LjAYjLDAu2CIjoBlOYrNBfOQtnATGoPhkIbBYIQE74IhrvbU6NHc7Zw30SN1t8NUpAEatmL7wa+EDzIYjGjDi2AocATMETsS6TkLoIEFh9vO0U8xGIxoxItgiIuj1FiUcafMKlMvqz4ZDEZU4EUwREfAtyFllIeVFl0tqDcU46F5m2BVZWJxxm0K+jkMBiMSkR9WtR2H4Z5pyKvzvgAbtENSZDJgzbSRTDAYjChF9tm2tX6Ebd7EQpUF3Y7dMFt2YS0TCwYjqpF5vkX3cVQTtCZ0uI6KdDbBqNXQA7nQ17+C/Pt+5sUVHYPBiAZkBEPG4BmXiszi1dClvIe8x/Rs7gWDMUCQEQwvBs+4cfjl45lQca7vpKK388ZQZxTxgEfhYjAYAcezYIi+GDw6b7kWI2dkYpHKioayGhx0dYPPhQacnY6H/jwCK5s7hG5MPR7HFjYblMGIYDwKhhgvQ9Z5y7A7kbFIDVgrUPJ2izBh61u0bC9FAf1v16YnMTNZ6MyI3Rhswsrt4rkMBiOS8KAEosFTBc2CyUjyKCvDkZ73P9DAxWOUrQ37tx2CZtE9GO8uNHETkb+vFbW5qXJ9IQaDEaZ4eG5Fg6c3X5f0C5ImY4FGBdTtwX4u3CC/9uR6r59jMBiRh4dnegiSc7eDEDNKpg0X9nkgNhW5tRZ67nbkJg8RdrpyFdbqJYLhU0jZ1XZnsgwGI6LwfyOAjzR23mUR2mCoMsuFORydMOtER/8MBiPS8L9g8JHGJqCu6j38jY2GMBhRRQDMDLQ7M/856L9nwOylG7G35YJ9Nz8vYzXyC5qRPnYUhtr3MhiMCCIwdkkh0tiW2d3Ykn6d3W4xNB2rm5PwlLkRpvyJMlHGGAxGuMKcADMYDMUEpoXBYDCiEOD/AU+awCfLv2V8AAAAAElFTkSuQmCC\" width=\"205\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Locating the Sun’s position on the HR diagram was correctly done by most candidates, although a few were unsure of the surface temperature of the Sun.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Calculating the ratio of the radius of a white dwarf to a red giant star was done quite well by most candidates. However quite a few candidates made POT errors or forgot to take the final square root.\n </p>\n</div>\n",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A container of volume 3.2 × 10-6 m<sup>3</sup> is filled with helium gas at a pressure of 5.1 × 10<sup>5</sup> Pa and temperature 320 K. Assume that this sample of helium gas behaves as an ideal gas.</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A helium atom has a volume of 4.9 × 10<sup>-31</sup> m<sup>3</sup>.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">The molar mass of helium is 4.0 g mol<sup>-1</sup>. Show that the mass of a helium atom is 6.6 × 10<sup>-27</sup> kg.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Estimate the average speed of the helium atoms in the container.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Show that the number of helium atoms in the container is about 4 × 10<sup>20</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Calculate the ratio  <span class=\"mjpage\"><math alttext=\"\\frac{{{\\text{total volume of helium atoms}}}}{{{\\text{volume of helium gas}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mrow>\n<mtext>total volume of helium atoms</mtext>\n</mrow>\n</mrow>\n<mrow>\n<mrow>\n<mtext>volume of helium gas</mtext>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Explain, using your answer to (d)(i) and with reference to the kinetic model, why this sample of helium can be assumed to be an ideal gas.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"m = \\frac{{4.0 \\times {{10}^{ - 3}}}}{{6.02 \\times {{10}^{23}}}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>m</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mn>4.0</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>3</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>6.02</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mn>23</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</math></span>«kg»</span><em><span style=\"background-color:#ffffff;\"><br/></span></em></p>\n<p><em><span style=\"background-color:#ffffff;\"><strong>OR</strong><br/></span></em></p>\n<p><span style=\"background-color:#ffffff;\">6.64 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 10<span style=\"font-size:14px;\"><sup><span style=\"text-align:left;color:#000000;text-indent:0px;letter-spacing:normal;font-family:Verdana , Arial , Helvetica , sans-serif;font-variant:normal;font-weight:400;text-decoration:none;display:inline !important;white-space:normal;float:none;background-color:#ffffff;\">−27 </span></sup></span></span><span style=\"background-color:#ffffff;\">«kg»</span><em><span style=\"background-color:#ffffff;\"> ✔</span></em></p>\n<p> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{1}{2}m{v^2} = \\frac{3}{2}kT/v = \\sqrt {\\frac{{3kT}}{m}} /\\sqrt {\\frac{{3 \\times 1.38 \\times {{10}^{ - 23}} \\times 320}}{{6.6 \\times {{10}^{ - 27}}}}} \" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mn>1</mn>\n<mn>2</mn>\n</mfrac>\n<mi>m</mi>\n<mrow>\n<msup>\n<mi>v</mi>\n<mn>2</mn>\n</msup>\n</mrow>\n<mo>=</mo>\n<mfrac>\n<mn>3</mn>\n<mn>2</mn>\n</mfrac>\n<mi>k</mi>\n<mi>T</mi>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mi>v</mi>\n<mo>=</mo>\n<msqrt>\n<mfrac>\n<mrow>\n<mn>3</mn>\n<mi>k</mi>\n<mi>T</mi>\n</mrow>\n<mi>m</mi>\n</mfrac>\n</msqrt>\n<mrow>\n<mo>/</mo>\n</mrow>\n<msqrt>\n<mfrac>\n<mrow>\n<mn>3</mn>\n<mo>×</mo>\n<mn>1.38</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>23</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>320</mn>\n</mrow>\n<mrow>\n<mn>6.6</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>27</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n</msqrt>\n</math></span>  <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p><span style=\"background-color:#ffffff;\"><em>v</em> = 1.4 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 10<sup>3</sup> «<span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">ms</span><sup><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−</span><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">1</span></sup>» ✔</span> </p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"N = \\frac{{pV}}{{kT}}/\\frac{{5.1 \\times {{10}^5} \\times 3.2 \\times {{10}^{ - 6}}}}{{1.38 \\times {{10}^{ - 23}} \\times 320}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>N</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>p</mi>\n<mi>V</mi>\n</mrow>\n<mrow>\n<mi>k</mi>\n<mi>T</mi>\n</mrow>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mn>5.1</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mn>5</mn>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>3.2</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>1.38</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>23</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>320</mn>\n</mrow>\n</mfrac>\n</math></span></span></p>\n<p><em><strong>OR</strong></em></p>\n<p><span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"N = \\frac{{pV{N_A}}}{{RT}}/\\frac{{5.1 \\times {{10}^5} \\times 3.2 \\times {{10}^{ - 6}} \\times 6.02 \\times {{10}^{23}}}}{{8.31 \\times 320}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mi>N</mi>\n<mo>=</mo>\n<mfrac>\n<mrow>\n<mi>p</mi>\n<mi>V</mi>\n<mrow>\n<msub>\n<mi>N</mi>\n<mi>A</mi>\n</msub>\n</mrow>\n</mrow>\n<mrow>\n<mi>R</mi>\n<mi>T</mi>\n</mrow>\n</mfrac>\n<mrow>\n<mo>/</mo>\n</mrow>\n<mfrac>\n<mrow>\n<mn>5.1</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mn>5</mn>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>3.2</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>6.02</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mn>23</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>8.31</mn>\n<mo>×</mo>\n<mn>320</mn>\n</mrow>\n</mfrac>\n</math></span>   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">✔</span></span></p>\n<p><span style=\"background-color:#ffffff;\"><em>N</em> = 3.7 <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">× </span>10<sup>20</sup> ✔</span></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<span style=\"background-color:#ffffff;\"><span class=\"mjpage\"><math alttext=\"\\frac{{4 \\times {{10}^{20}} \\times 4.9 \\times {{10}^{ - 31}}}}{{3.2 \\times {{10}^{ - 6}}}} =» 6 \\times {10^{ - 5}}\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n<mfrac>\n<mrow>\n<mn>4</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mn>20</mn>\n</mrow>\n</msup>\n</mrow>\n<mo>×</mo>\n<mn>4.9</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>31</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n<mrow>\n<mn>3.2</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mrow>\n<mn>10</mn>\n</mrow>\n<mrow>\n<mo>−</mo>\n<mn>6</mn>\n</mrow>\n</msup>\n</mrow>\n</mrow>\n</mfrac>\n<mo>=</mo>\n<mrow>\n<mo>»</mo>\n</mrow>\n<mn>6</mn>\n<mo>×</mo>\n<mrow>\n<msup>\n<mn>10</mn>\n<mrow>\n<mo>−</mo>\n<mn>5</mn>\n</mrow>\n</msup>\n</mrow>\n</math></span>  ✔</span></p>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\">«For an ideal gas» the size of the particles is small compared to the distance between them/size of the container/gas<br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«For an ideal gas» the volume of the particles is negligible/the volume of the particles is small compared to the volume of the container/gas<br/></span></p>\n<p><span style=\"background-color:#ffffff;\"><em><strong>OR</strong></em><br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«For an ideal gas» particles are assumed to be point objects ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">calculation/ratio/result in (d)(i) shows that volume of helium atoms is negligible compared to/much smaller than volume of helium gas/container «hence assumption is justified» ✔</span></p>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The mark was awarded for a clear substitution or an answer to at least 3sf. Many gained the mark for a clear substitution with a conversion from g to kg somewhere in their response. Fewer gave the answer to the correct number of sf.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>At HL this was very well answered but at SL many just worked out E=3/2kT and left it as a value for KE.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again at HL this was very well answered with the most common approach being to calculate the number of moles and then multiply by N<sub>A</sub> to calculate the number of atoms. At SL many candidates calculated n but stopped there. Also at SL there was some evidence of candidates working backwards and magically producing a value for ‘n’ that gave a result very close to that required after multiplying by N<sub>A</sub>.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered with the most common mistake being to use the volume of a single atom rather than the total volume of the atoms.</p>\n<div class=\"question_part_label\">di.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>In general this was poorly answered at SL. Many other non-related gas properties given such as no / negligible intermolecular forces, low pressure, high temperature. Some candidates interpreted the ratio as meaning it is a low density gas. At HL candidates seemed more able to focus on the key part feature of the question, which was the nature of the volumes involved. Examiners were looking for an assumption of the kinetic theory related to the volume of the atoms/gas and then a link to the ratio calculated in ci). The command terms were slightly different at SL and HL, giving slightly more guidance at SL.</p>\n<div class=\"question_part_label\">dii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "b-1-thermal-energy-transfers",
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "19M.2.SL.TZ2.7",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The average temperature of ocean surface water is 289 K. Oceans behave as black bodies.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Show that the intensity radiated by the oceans is about 400 W m<sup>-2</sup>.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color:#ffffff;\">Explain why some of this radiation is returned to the oceans from the atmosphere.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>5.67 <span style=\"background-color:#ffffff;\">×</span> 10<span style=\"background-color:#ffffff;\"><sup>−8</sup> <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">×</span> 289<sup>4</sup></span></p>\n<p><em><strong><span style=\"background-color:#ffffff;\">OR</span></strong></em></p>\n<p><span style=\"background-color:#ffffff;\">= 396 «W m<sup style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−2</sup>» ✔</span></p>\n<p><span style=\"background-color:#ffffff;\"><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">«≈ 400 W m</span><sup style=\"color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:11.6px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">−2</sup><span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">»</span></span></p>\n<p> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color:#ffffff;\">«most of the radiation emitted by the oceans is in the» infrared ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«this radiation is» absorbed by greenhouse gases/named greenhouse gas in the atmosphere ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">«the gases» reradiate/re-emit ✔<br/></span></p>\n<p><span style=\"background-color:#ffffff;\">partly back towards oceans/in all directions/awareness that radiation in other directions is also present ✔</span></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered with candidates scoring the mark for either a correct substitution or an answer given to at least one more sf than the show that value. Some candidates used 298 rather than 289.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>For many this was a well-rehearsed answer which succinctly scored full marks. For others too many vague terms were used. There was much talk about energy being trapped or reflected and the ozone layer was often included. The word ‘albedo’ was often written down with no indication of what it means and ‘the albedo effect also featured.</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-2-greenhouse-effect"
+    ]
+  },
+  {
+    "question_id": "19N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A student investigates how the period<em> T</em> of a simple pendulum varies with the maximum speed <em>v</em> of the pendulum’s bob by releasing the pendulum from rest from different initial angles. A graph of the variation of <em>T</em> with <em>v</em> is plotted.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Suggest, by reference to the graph, why it is unlikely that the relationship between <em>T</em> and <em>v</em> is linear.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine the fractional uncertainty in <em>v</em> when <em>T</em> = 2.115 s, correct to <strong>one</strong> significant figure.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The student hypothesizes that the relationship between <em>T</em> and <em>v</em> is <em>T = a + bv</em><sup>2</sup>, where <em>a</em> and <em>b</em> are constants. To verify this hypothesis a graph showing the variation of <em>T</em> with <em>v</em><sup>2</sup> is plotted. The graph shows the data and the line of best fit.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Determine <em>b</em>, giving an appropriate unit for <em>b</em>.</span></span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The lines of the minimum and maximum gradient are shown.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAsYAAAGyCAYAAADnMwL/AAAgAElEQVR4Ae29T4hkyXXwm2vvP3CCNp7ywhKNjKc9AmszCTZlTGP6LSwvBEpMS9ZgBsbogylo2YMaZpqHp6CYjxGzkKegR+DVR8K3eTBqSN5m4LlNgRZeFIW8GEbt2gxiKAokmiY5j5NZUXXy1M2Im3n/5I2bvwvVGXHPjRMnfici4/S9kXEHwgEBCEAAAhCAAAQgAAEIyAAGEIAABCAAAQhAAAIQgIAQGNMJIAABCEAAAhCAAAQgoARu3TEeDAbCHwzoA/QB+gB9gD5AH6AP0Ad2oQ/Y/xIUBsb2AtIQgAAEIAABCEAAAhDoIwEN/O2xnNNbyO4CezFpCEAAAhCAAAQgAAEI9IWAj3sJjPviWdoBAQhAAAIQgAAEILAWAQLjtXBxMQQgAAEIQAACEIBAXwkQGPfVs7QLAhCAAAQgAAEIQGAtAgTGa+HiYghAAAIQgAAEIACBvhIgMO6rZ2kXBCAAAQhAAAIQgMBaBAiM18LFxRCAAAQgAAEIQAACfSVAYNxXz9IuCEAAAhCAAAQgAIG1CBAYr4WLiyEAAQhAAAIQgAAE+kqAwLivnqVdEIAABCAAAQhAAAJrESAwXgsXF0MAAhCAAAQgAAEI9JUAgXFfPUu7IAABCEAAAhCAAATWIkBgvBYuLoYABCAAAQhAAAIQ6CsBAuO+epZ2QQACEIAABCAAAQisRYDAeC1cXAwBCEAAAhCAAAQg0FcCBMZ99SztggAEIAABCEAAAhBYiwCB8Vq4uBgCEIAABCAAAQhAoK8ECIz76lnaBQEIQAACEIAABCCwFgEC47VwcTEEIAABCEAAAhCAQF8JEBj31bO0qzYCZ2dn4gdKbcpRBAEIQAACEIBAZwj4+X7gLfMXeDl5CPSdwNtvvz0PjD/77LO+N5X2QQACEIAABHaagI97CYx3ujvQeE9A7xbfv39/HhjrJwcEIAABCEAAAv0lQGDcX9/SshoI6N1ivVOsAyWka1CLCghAAAIQgAAEOkiAwLiDTsGkbhAId4vVGh0oNt8NC7ECAhCAAAQgAIE6CRAY10kTXb0iYO8Qh4Fiz/WqsTQGAhCAAAQgAIH5jTCLgTXGlgbpnSXg7w6HwNif31lANBwCEIAABCDQQwJhvg9NIzAOJPjcaQL+zrAdKF6206BoPAQgAAEIQKBHBOx8r80iMO6Rc2nK5gQeP368VNgOlF//+tcymUyW5GQgAAEIQAACEMifgJ3vtTUExvn7lBY0QMAPlAaqQCUEIAABCEAAAlsm4Od7AuMtO4Tqu0nADpR/+Zd/Ef0LRxP5oFs/bV0+30Tdtj6b9nWn8l2yrQ1bLCub7gIna49Nd8E2tSEc2LYgoRwsi6J8YKaf9lqfLyprr29Cvou22TaTzpuAne+1JQTGefsT6xsi4AeKr+bnP/+5P3Wdj8n0oqpyO8ldV2oSMf0xGbbhU9ONrpOx/tZ0f0rpx7ZrNy0l4LaE4zqT4pKSx/rbdSUksiPg53sC4+xciMFtEPADpY06qQMCEIAABCAAgXYJ+PmewLhd/tSWCQE/UDIxGzMhAAEIQAACEFiDgJ/vCYzXgMelu0PADxTf8tgjt5hM9VSVpx7nxfTHZNjGUgrfzzUf629N96eUfmwr8lj6OwZu9XMr1sjZHAj4+Z7AOAevYWPrBPxAad0AKoQABCAAAQhAoHECfr4nMG4cORXkSMAPlBzbgM0QgAAEIAABCMQJ+PmewDjOC+mOEvADZUcx0GwIQAACEIBArwn4+Z7AuNfupnGbErADRdc52rWOTeStnbYuPW/zmrbrA7dpS5dtK+LSFW67blvZvl7Uv5RdODRdt0+Dbl93Kt+GT8vaVmRLV7j1yTbrD9J5E7DzvbaEwDhvf2J9QwT8QGmoGtRCAAIQgAAEILBFAn6+JzDeojOoursE/EDprqVYBgEIQAACEIDApgT8fE9gvClJyvWagB8ovW4sjYMABCAAAQjsKAE/3xMY72hHoNlxAn6g+Kvtmr11ZHptrGwZuV1X6etOla9ad6o8thV5JO3zXLml+kPT8hi3putO6ce2+sdCinnT8phPi1vL2RwI+PmewDgHr2Fj6wT8QGndACqEAAQgAAEIQKBxAn6+JzBuHDkV5EjAD5Qc24DNEIAABCAAAQjECfj5nsA4zgvpjhLwA2VHMdBsCEAAAhCAQK8J+PmewLjX7qZxmxKwA0XXrdm1a03krZ22Lj1v85q269y2aUuXbSvi0hVuu25b2b5e1L+UXTg0XbdPg25fdyrfhk/L2lZkS1e49ck26w/SeROw8722hMA4b39ifUME/EBpqBrUQgACEIAABCCwRQJ+vicw3qIzqLq7BPxA6a6lWAYBCEAAAhCAwKYE/HxPYLwpScr1moAfKL6x9tHkOjK9Nla2jNw+PvZ1p8pXrTtVHtuKPJL2ea7cUv2haXmMW9N1p/RjW/1jIcW8aXnMp8Wt5WwOBPx8T2Ccg9ewsXUCfqB4A2JfwDGZ6qkqT305x/THZNh2s351HX/vMrem+1NKf2wspMo2Lcc2P4oW+RT3XLkVt5azORDw8z2BcQ5ew8bWCfiB0roBVAgBCEAAAhCAQOME/HxPYNw4cirIkYAfKDm2AZshAAEIQAACEIgT8PM9gXGcF9IdJeAHiscQexwYk6meqvLYo8aU/qp1p8pjm+8pi3xfuaXa1bQ81t+arjulH9vqHwsp5k3LYz4tbi1ncyDg53sC4xy8ho2tE7ADRb9s7RduE3nbQFuXnrd5Tdsv523a0mXbirh0hduu21a2rxf1L2UXDk3X7dOg29edyrfh07K2FdnSFW59ss36g3TeBOx8ry0hMM7bn1jfEAE/UBqqBrUQgAAEIAABCGyRgJ/vCYy36Ayq7i4BP1C6aymWQQACEIAABCCwKQE/3xMYb0qScr0m4AeKb6x9NLmOTK+NlS0jt4+Pfd2p8lXrTpXHtiKPpH2eK7dUf2haHuPWdN0p/dhW/1hIMW9aHvNpcWs5mwMBP98TGOfgNWxsnYAfKN6A2BdwTKZ6qspTX84x/TEZtt2sX13H37vMren+lNIfGwupsk3Lsc2PokU+xT1XbsWt5WwOBPx8T2Ccg9ewsXUCfqC0bgAVQgACEIAABCDQOAE/3xMYN46cCnIk4AdKjm3AZghAAAIQgAAE4gT8fE9gHOeFdEcJ2IGij/7s478m8hazrUvP27ym7aPGbdrSZduKuHSF267bVravF/UvZRcOTdft06Db153Kt+HTsrYV2dIVbn2yzfqDdN4E7HyvLSEwztufWN8QAT9QfDV2ollHptfGypaR22DA150qX7XuVHlsK/JI2ue5ckv1h6blMW5N153Sj231j4UU86blMZ8Wt5azORDw8z2BcQ5ew8bWCfiB0roBVAgBCEAAAhCAQOME/HxPYNw4cirIkYAfKDm2AZshAAEIQAACEIgT8PM9gXGcF9IdJeAHiscQe2QXk6meqvLU47yY/pgM227Wr67j713m1nR/SumPjYVU2abl2OZH0SKf4p4rt+LWcjYHAn6+JzDOwWu9tnEml2efyuH4jmjn1L/h+Eienl2UavXs/Kk8HO3L4cmlu/5CziYPZXSlczA6kCcn5zJzV63K+oHir4t9ucdkqqeqPDZxpPRXrTtVHtt8T1nk+8ot1a6m5bH+1nTdKf3YVv9YSDFvWh7zaXFrOZsDAT/fExjn4LU+23gxlYPhUEYHEzm7nInMnsv04b4Mhm/K5PmLaMtn55/J0TygHrnA+IU8n7wpw9EjmZ6/WEtnqNAPlHCeTwhAAAIQgAAE+kPAz/cExv3xbYYteSnnkzdkMHhDJucvb+y/Cpb3j09X3OG9kLOnRzLeG8vhzw5kNHCBcVH5+bk9GU++uKknkvIDJXIpIghAAAIQgAAEMiXg53sC40wd2WuziwLbpQZ/IZMHb8rx6YXI+UTGLjB+eXIoe4PvyPHZ75ZKFWV0QKz6C9fr4zP7CK2JfKhLP21dPt9E3bY+m/Z1p/Jdsq0NWywrm+4CJ2uPTXfBNrUhHNi2IKEcLIuifGCmn/Zany8qa69vQr6Lttk2k86bAIFx3v7bAetncjF9KMPBXTmYfplu763AOJT/rhxOjuVgNFwEvqwxnrPc9hq8WP0xmRpfVW6Dg6KOFdMfk+2ybU1zSemP+TRVtmk5thWNsvQ4zpVbcWs5mwMBAuMcvLTLNl4+k8PRUIYPJvK8zC/lbgXGYXmG/ojvp/JM1xjLCzmfPpJRybvIit8PlF12CW2HAAQgAAEI9JWAn+9ZStFXT+fYrtnnMnlwR4bjJ3KqP8Qrc6wMjN1SitmpHO8PZe/wRMxq5pU1+IGy8kIEEIAABCAAAQhkS8DP9wTG2bqyZ4ZfnsrkYF8GYSeJss27FRiLLNYYux/0yRcyGe/J8GAqZTaC8wPFmxN7DBuTqZ6q8tijxpT+qnWnymOb7ymLfF+5pdrVtDzW35quO6Uf2+ofCynmTctjPi1uLWdzIODnewLjHLzWaxt1H+PJfC3wzdKHNRpcEBjL/Md79+Tw5KsbRfM7xnuyeqeLm0s15QfKspQcBCAAAQhAAAJ9IODnewLjPng14zbMnk/kwXAgg9GRnJRdPmHbWxQYy1dycnjPLMm4WmNcYm/koNoPlHCeTwhAAAIQgAAE+kPAz/cExv3xbYYt+VKmB3dXbpc2GE/kXMKP6dxexaG1hYGxiMzO5eSJ7nF8tR3b6KFMSr5NT1X7gRKq4xMCEIAABCAAgf4Q8PM9gXF/fEtLaiRgB4quW7Nr15rIW9NtXXre5jVt17lt05Yu21bEpSvcdt22sn29qH8pu3Boum6fBt2+7lS+DZ+Wta3Ilq5w65Nt1h+k8yZg53ttCYFx3v7E+oYI+IHSUDWohQAEIAABCEBgiwT8fE9gvEVnUHV3CfiB0l1LsQwCEIAABCAAgU0J+PmewHhTkpTrNQE/UHrdWBoHAQhAAAIQ2FECfr4nMN7RjkCz4wT8QPFX2zV768j02ljZMnK7rtLXnSpfte5UeWwr8kja57lyS/WHpuUxbk3XndKPbfWPhRTzpuUxnxa3lrM5EPDzPYFxDl7DxtYJ+IHSugFUCAEIQAACEIBA4wT8fE9g3DhyKsiRgB8oObYBmyEAAQhAAAIQiBPw8z2BcZwX0h0l4AeKxxB7ZBeTqZ6q8tTjvJj+mAzbbrYCW8ffu8yt6f6U0h8bC6myTcuxzY+iRT7FPVduxa3lbA4E/HxPYJyD17CxdQJ2oOgXuf0ybyJvG2jr0vM2r2k7cWzTli7bVsSlK9x23bayfb2ofym7cGi6bp8G3b7uVL4Nn5a1rciWLnDT79Sivy7YFvzrbfF529+sP0jnTcDO99oSAuO8/Yn1DRHwA6WhalALAQhAYKcI8N26U+7OorG+TxIYZ+E2jGybgB8obddPfRCAAAT6SIDv1j56Ne82+T5JYJy3P7G+IQJ+oPhq7CO2dWR6baxsGXnqcV5Mf0xWpu5UeWzzvWGR7yu3VLualsf6W9N1p/RjW/FYSH235sqtuLWczYGA75MExjl4DRtbJ+AHijcgNinGZKqnqjw2caT0V607VR7bfE9Z5PvKLdWupuWx/tZ03Sn92FY8FlLfrblyK24tZ3Mg4PskgXEOXsPG1gn4gdK6AVQIAQhAoIMEqn43Vi2vSOrQ0UG0mLQlAr4/ERhvyRFU220CfqB021qsgwAEINAOgarfjVr+17/+dSVjq9pQqXIK946A708Exr1zMQ2qg4AfKF5n7DFqTKZ6qspjjxpT+qvWnSqPbb6nLPJ95ZZqV9PyWH9ruu6U/r7apt+Nv/3tb4s7euL7bTqdzu/2fvOb31wZHKe4ad2rvp9TPqkqj9m2EgiCzhPw/YnAuPMuw8BtELADRb9M7RdqE3nbRluXnrd5Tdsv523a0mXbirh0hduu21a2rxf1L2UXDk3X7dOg29edyrfh07K2FdlSBzcNSN9+++3CvYj1+7Ltv+AT3zafb4qb1Us6bwJ2vteWEBjn7U+sb4iAHygNVYNaCEAAAp0n8Mtf/lJee+01+eSTT1berS3bCP1u1TvH6xxa//379+eB+dnZWWUb1qmba/tPwM/3BMb99zkt3ICAHygbqKAIBCAAgawJ6F3iDz/8cB4Ua3CqR9XvxnXK/+Y3v5kHwxqUf/bZZ9cs19FxXYgEBFYQ8P2JwHgFKE7vNgE/UDwN+7huHZleGytbRm4fH/u6U+Wr1p0qj21FHkn7PFduqf7QtDzGrem6U/pzt03vzOpd2sePHy+tKU61OyVPfbcqNw3Iw93pyWRyXX/QvUpHkBePwvQ4TJWP+XRVnZzvPgHfnwiMu+8zLNwCAT9QvAmxL9CYTPVUlae+nGP6YzJsu1m/uo6/d5lb0/0ppT82FlJlm5bnbJsGo3qX9he/+IUfCpW/v1Lfrd///vfndWtArneM7dG0z1L6Yz61dpLOi4DvkwTGefkPa1si4AdKS9VSDQQgAIGtEdBt1H7wgx/M/6puqbaqEau+W/UOtdatd6k1zQGBtgj4Pklg3BZ56smKgB8oWRmPsRCAAATWJKB3h/Uusd4tbvLw3616V1jvDq+6Q92kLeiGgBLwfZLAmH4BgQICdqDo4zX7iK2JvDXB1qXnbV7T9nHeNm3psm1FXLrCbddtK9vXi/qXsguHpuv2adDt607l2/BpWduKbIlx+/jjj+XevXvXd2rLlPf6ytim36mr/nQ9sa4rVr3b8mmZdlvbbJtJ503AzvfaEgLjvP2J9Q0R8APFV2MnhnVkem2sbBl56ss5pj8mK1N3qjy2+d6wyPeVW6pdTctj/a3pulP6c7AtbMOmO09oYFrHd0CKi8p1hwm9Q6z7Ivt1xDlwKx7lnM2VgJ/vCYxz9SR2N0rAD5RGK0M5BCAAgRYJFG3D1kb1unZYg2FdRxy2f2ujXuqAQIyAn+8JjGO0kO0sAT9QdhYEDYcABHpFQH9UF16WEe4SN91AvSsc9kNueg1z021Bf/8I+PmewLh/Ps6sRTO5PPtUDsd3rtefDcdH8vTsolQ7ZudP5eFoXw5PLpeuf3lyKHu31rSNbl23VMhk/EAxonky9rgwJtPCVeWxR40p/VXrTpXHNt9TFvm+cku1q2l5rL81XXdKfxdtC9uw6ZZoq45Uu9aVhzrDco1U+S5yC6xitoVr+MyPgJ/vCYzz82G/LL6YysFwKKODiZxdzkRmz2X6cF8Gwzdl8vxFtK2z88/kaB5Q+4D3pZxP3pDB8KFML2ZRHauEfqD462Jf7jGZ6qkqT305x/THZNh288Oudfy9y9ya7k8p/bGxkCrbtLxLtukdW7sNWxu2+dc4hzGV4t6GbcEW/1nFNq+LfD4E/HxPYJyP73po6VUAO3hDJucvb9p3FSzvH59KcVh7IWdPj2S8N5bDnx3IaOAD40s5ORzJYP9YzooV3NS1IuUHyorLOA0BCECg0wTa2oYtQNClGmEdsX2Nc5DzCYGuEfDzPYFx1zyEPSLJwPgLmTx4U45PL0TOJzL2gfHsVI73hzI8mEq5BRm3ofuBcvsKzkAAAhDoLgFdP6z7A7f1wgz7gz5dPtHW+uXuegDLciHg53sC41w8tzN2zuRi+lCGg7tyMP0y3eqiwHgeWA9kOBrJt8M649GBPDk5v3UHWgfEqr9QuT7as4/3msiHuvTT1uXzTdRt67NpX3cq3yXb2rDFsrLpLnCy9th0F2xTG8KBbQsSysGyKMoHZvppr/V5lf3jP/7jfDs0Xdf73nvvLV1fpNvq20Qe7kprIP6Tn/zEmtp43SnbrTH22iJuVp7iYPWSzpsAgXHe/uu/9ZfP5HA0lOGDiTwvswyiIDCenR3L/mAoo8NnsvhJ3kwuT5/IeHhPDk++KsXQDxRfKLYWLSZTPVXl9svb25XSX7XuVHlsK/JI2ue5ckv1h6blMW5N153Svw3b9C6tvizjlVdeiW6HVpdtuv2a3pHW9cvhNc4pLil5XbYVjcRU3Sl5zLai+jiXBwE/33PHOA+/7YaVs89l8uCODMdP5FR/iFfmKAiMC4utubzCD5RCnZyEAAQg0BECdhs2/9KMuk1U/bqOWF/SwTriuumir20Cfr4nMG7bA9RXTODyVCYH+zIYPZLpeXw3iiUFZQNj+UIm4z0ZjCdyvqSgOOMHSvFVnIUABCCwfQK6ple/s3RJQ5OH3pEOdYXXODdZH7oh0AYBP98TGLdBnToiBHQf44kc6PKJ8U/l2TpBsWq9FRiHNcrfkeOz393UO79jvCerd7q4uVRTfqAsS+OPxlOP46rKU4/zYvpjMm1jVTm2+Z6yyKe45sot1a6m5TFuTded0t+GbX4bttD7mrAtvMb53r17t17jHOrVz1TdKXkb3Ky9Nl3FNquHdF4E/HxPYJyX/3pn7ez5RB4MBzIYHclJ2eUTlsKtwFhE5uuU98wa4xdyPn0koxJ7IwfVfqCE83xCAAIQ6AKB8IM3vXPb5KFrh3UNcVu7WzTZFnRDoIiAn+8JjIsoca4lAl/K9ODuyl0hFssewl7Hfq/iKxOLAmMRmZ0/kye6NONq14l13qanmv1AaQkI1UAAAhCIEtDlDG1sw6Z3o3mNc9QVCHtCwM/3BMY9cSzNqJeAHyj1akcbBCAAgfUJ6N1b/cGbBsZN7RMc1hFrPeE1zutbSgkI5EPAz/cExvn4DktbJGAHiq47s2vPmsjbptm69LzNa9quwdumLV22rYhLV7jtum1l+3pR/1J24dB03T4Nun3dqXzTPv3444/n27BpsKqvWrYcvG1FttjrNb2Km64jfvXVV0XXEesuF0G3L+/z8wuv/rGyUD7IVWblRflVtgVdqfJeHuoO5Vfli2zxuqxtVg/pvAnY+V5bQmCctz+xviECfqA0VA1qIQABCEQJaICqa3x1e7SmtmGzr3HWwJsDArtEwM/3BMa75H3aWpqAHyilC3IhBCAAgZoIhK3RmtqGTZdN2HXETS3PqAkHaiDQCAE/3xMYN4IZpbkT8AMl9/ZgPwQgkA+B8AINvVMcljTUbb0G3WEdcVN3ouu2GX0QaIKAn+8JjJugjM7sCfiB4htk156tI9NrY2XLyFPr3GL6Y7IydafKY5vvDYt8X7ml2tW0PNbfmq47pX9T23Sdr77SOfYCjVTdMbn+gO8b3/jG0mucba+Nla3jOyKlf1Nu27bNMiSdFwE/3xMY5+U/rG2JgB8oLVVLNRCAwI4S0GUMutuE3sXV4LXuI9yFVv28xrluuujLmYCf7wmMc/YmtjdGwA+UxipCMQQgsPMEmtyGTQNuvfus32m6fIJ1xDvf3QDgCPj5nsDYASILASXgB4qnEnscGJOpnqry2KPGlP6qdafKY5vvKYt8X7ml2tW0PNbfmq47pb+MbSFo9XdxU7rLysNrnPVOtF1HXMa24p5c/fsrZXuutq3ixfnuE/DzPYFx932GhVsgYAeKfpHbL/Mm8raJti49b/OathPHNm3psm1FXLrCbddtK9vXi/qXsguHpuv2adDt607lN/HpBx98cL0N20cffXRrnPu2lrVNy73//vvXr3HWtNe1LW5FnHK1zfqDdN4E7HyvLSEwztufWN8QAT9QGqoGtRCAwA4S0O3X9DtGlzbUeehd4bBOuakt3uq0F10Q6AIBP98TGHfBK9jQOQJ+oHTOQAyCAASyIxB+AFf3Nmy6JCPseRzbzSI7YBgMgRYI+PmewLgF6FSRHwE/UHwL7OO/dWR6baxsGbl9DOrrTpWvWneqPLYVeSTt81y5pfpD0/IYt6brTun3tukb5XQtsQau+orn2JHSbeW6jvj+/fvzN+OFPY+tvKgeb5u9JlW2aXmutlmGpPMi4Od7AuO8/Ie1LRHwA8VXG5scYjLVU1UemzhS+qvWnSqPbb6nLPJ95ZZqV9PyWH9ruu6U/mCb3s0NyxvCNmypsmXkqktfE61BsX+Nc6p8sK2ot6bKNi3P1bYilpzLg4Cf7wmM8/AbVrZMwA+UlqunOghAoAcENHjVwFUD47q2SVM99jXOPcBEEyCwVQJ+vicw3qo7qLyrBPxA6aqd2AUBCHSTgC6Z8NuwVbWU1zhXJUh5CNwm4Od7AuPbjDgDAfYxXtEHUo9RY49BVWWsfEyWKltGjm3FTk1xj3FLlW1a3kXbdJ2v/rjuW9/61tLewZb+ulx0qURYR6x3odctb+vWdBe5BRtztS3Yz2d+BAiM8/MZFm+BgB0oOgnZiaiJvG2irUvP27ym7cSxTVu6bFsRl65w23Xbyvb1ov6l7MKh6bp9GnT7ulP54NOwDdtbb71Vi20aZOs64ldffXXpNc6Wg7ct2BLaUpTfFrciW2xbNJ2LbYEvn/kTsPO9toY7xvn7lBY0QMAPlAaqQCUEINATAmEbNr2rG3aGqNI0XUfMa5yrEKQsBMoT8PM9gXF5dly5QwT8QNmhptNUCEBgDQJ2G7Y6fmCnd511bbJ/jfMaJnEpBCCwBgE/3xMYrwGPS3eHgB8ovuX28d86Mr02VraM3D5q9HWnyletO1Ue24o8kvZ5rtxS/aFpeYxb03XrXsRhGza/XZr2gnVtCztY6PpkfY1z7KjatnVts7ZUrTtVPlfbLCPSeRHw8z2BcV7+w9qWCPiB4quNfbnHZKqnqjw2caT0V607VR7bfE9Z5PvKLdWupuWx/tZk3RrE6rrf2DZsZW0reo1zk7ZrjyxrW1FvxrYiKpzLmYCf7wmMc/YmtjdGwA+UxipCMQQgkBWBsGWaLnmocuiyC17jXIUgZSFQDwE/3xMY18MVLT0j4AdKz5pHcyAAgTUJhG3YdKmD3uWtcuhrnHUdse44UVVXFTsoCwEIyK3tWQmM6RUQKCBgA2N9dGgfHzaRtybYuvS8zWvaPgbdpi1dtq2IS1e47bptZft6Uf9SduHQdN0+Dbp93Xp3+JVXXpnf4Q3XeFt8vsg2XYIRtl979913g6r5GPflff76Yved4G3Vcg+ask4AACAASURBVL6szxfZFvSXKe/1hbLeFp8vozsX22ybSedNwM732hIC47z9ifUNEfADxVdjJ4Z1ZHptrGwZuZ04fN2p8lXrTpXHtiKPpH2eK7dUf2haHuNWR9263EED2aJt2FL6rW16V9i+xjlVtmm5tc332KbrTunP1TbPkXw+BPx8T2Ccj++wtEUCfqC0WDVVQQACHSAQtmHTgHbTbdjCOmJdNlFFTwdwYAIEekvAz/cExr11NQ2rQsAPlCq6KAsBCORDQIPZcHe3aBu2si3RsuE1znW89KNsvVwHAQisR8DP9wTG6/Hj6toJzOTy7FM5HN+ZL4DXDjocH8nTs4tSNc3On8rD0b4cnlyuuH4mlydHMhqMItfcLuoHir8i9jgwJlM9VeWxR40p/VXrTpXHNt9TFvm+cku1q2l5rL9tUnfYS1iXT+g+xbFjlf7wGudvfOMbS69xtrpWlQ3XNC2vm1uwWz+r2p6rbZYB6bwI+PmewDgv//XP2oupHAyHMjqYyNnlTGT2XKYP92UwfFMmz19E2zs7/0yO5gH16qB39nwiD4YDGRAYz1lWnbRS5WOTmhoQKx+TpcqWkWPbvAvc+ifFPcYtVbZpeZ22+W3Y1rXd3mlWXe+9994t1uHEurpDufBZtXyd3IJN4XNXbQvt5zM/AgTG+fmsxxa/lPPJGzIYvCGT85c37bwKlvePT2V2c9akLuTs6ZGM98Zy+LOD1XeDZ5/L5EG4E706eDaKr5N+oFwLSEAAAr0iYLdh23TJA69x7lWXoDE7RsDP99wx3rEOkEVzk4HxFzJ58KYcn16InE9kXHg3+IU8n7wpw9Ej+XTySPYKr1lNww+U1VcigQAEciUQAlq9w7vJEZZe6N7GmuaAAATyI+DnewLj/HzYc4tncjF9KMPBXTmYfplua2FgPJPL0ycyHt6Tw5Ov5OXJ4crAWAfEqr9QuT52tI8em8iHuvTT1uXzTdRt67NpX3cq3yXb2rDFsrLpLnCy9th0F2xTG8KxLdt02cNf/uVfiq4DDgHtOrbo9muvv/76/CUd+rIOLWvLN5EPzPTT1uXzTdRt6yvSv4u22TaTzpsAgXHe/uu/9ZfP5HA0lOGDiTwvXkexzKAoMJ7r2JPR4TPRn+TFAuNlZTc5P1BuJKQgAIGcCVTZhk0D6k8++WT+n2m9y6x5DghAIG8Cfr7njnHe/uyX9VdrgofjJ3KqP8Qrc9wKjL+Sk8N7MhgdycmVDgLjMiC5BgL9JhCCWt1TeJNt2HiNc7/7B63bXQIExrvr+263/PJUJgf7Mhg9kul5fDeKpYb4wPjliRzurV4esXd4IuZnfkuqbMYPFCsjDQEI5EVAf1QX9hRe9y6vLrXQNcRaPiy7yKv1WAsBCMQI+PmeO8YxWshaIKD7GE/kQJdPjH8qz9YJitU6HxgXWNzEHePYlkQxmZpXVW7X+xU0N6q/at2p8thW5JG0z3PlluoPTctj3ELdfhu24KEgD3n/+dFHH8njx4/n64j1R3r+SJUvY5vXGfIp3VXl2BZIL3+muMa4LWsilxMBAuOcvLUDtl7vM2yWPqzV7C0FxmvZyMUQgEDrBPQHcnqnV//W2YZN7yiHYJrXOLfuNiqEQOsECIxbR06Fqwl8KdODuyt3hRiMJ3IuYa/jFfsQExivxosEAjtKIGzDpj+UW+fQdcRhycU6wfQ6dXAtBCDQLQIExt3yB9Z0lIAfKB01E7MgAAFDQO/26vKHddcDaxCsr4HWcpv8MM+YQBICEMiMgJ/vWWOcmQMxtx0CdqDoujO79qyJvG2VrUvP27ym7Tq3bdrSZduKuHSF267bVravF/UvZRcOTatPdayu+vPX+/zHH38sulxCd6p46623lrZfs9d6W3xer7XXa7ru/hba7ev2+SJbsG1Bz3Koym2hkX/7QMDO99oeAuM+eJU21E7AD5TaK0AhBCBQCwG7Dds649auI9b1yBwQgMBuEvDfGwTGu9kPaHWCgB8oicsRQwACWyBgt2HT4LbMuNWlEmEdMduvbcFpVAmBjhHw3xsExh1zEOZ0g4AfKN2wCisgAIFAQO/46ji1W6nFxq0GzrqOWJdN6I/sOCAAAQgoAf+9QWBMv4BAAQE/UPwlfq2alcdkel1VuV27aOsN6Zj+mAzbbtavBpbhE26BxPJn01yK9IcAV7dh+/GPf7xkkB23oWxYaqEyDaY1r0eQLykwmary2DitqrtqeWwzjjbJFNcYN6OGZGYE7PeGmk5gnJkDMbcdAn6gtFMrtUAAAoFA0RgMr2VetQ2bLxO2bdOdKmLriH25YAOfEIBA/wn48U9g3H+f08INCPiBsoEKikAAAhUI2DFYdhs2LaPXrvsaZ1tXBZMpCgEIZEjAj38C4wydiMnNE/ADxdcYe+QWk6meqvLU47yY/pgM21hK4fu55mP9rcn+pGNQ9WuQq+uC9a5vWAYR7LS2/epXv5qvFfyjP/ojuXv37nw9cbiu6NPaXjTerTxVvkhubfPyqrqrlsc275FFPsU1xq1YI2dzIODHP4FxDl7DxtYJ2IGiX5b2C7OJvG2grUvP27ym7ZfzNm3psm1FXLrCbddtK9vXdQy2+ad+scc6+TZ8Wta2IltsWzRd91jYRdtsm0nnTcDO99oSAuO8/Yn1DRHwA6WhalALAQgUENBt2HQM6i4SsbXBWtS+xlnLTKfTAo3xU4z3OB+kEOgzAT/+CYz77G3atjEBP1A2VkRBCEBgLQJhG7bUGNQlFv41zqkyqwzZtNwqfZyHAATyIeDHP4FxPr7D0hYJ+IHiq7aPJteR6bWxsmXk9jGorztVvmrdqfLYVuSRtM9z5ZbqD+vI7TZs4Y5xUXm9LrzG+Xvf+94ScDtui8rai63clgvXWHk4Zz9T8phPU2WblmOb9eRNOsU9xu1GC6ncCPjxT2CcmwextxUCfqD4SmNfoDGZ6qkqT305x/THZNi2vMbU+hxulsZNui4udhs2+wM7r1/vJusP8TQw1uv8WLDj1pe9sXqRalrubbP1N113Sj+2WW/cpKtwu9FCKjcC9ntDbScwzs2D2NsKAT9QWqmUSiCwYwQ0uNXdJjTYjb2euexrnBm3O9aBaC4EaiDgvzcIjGuAior+EfADpX8tpEUQ2C4BDYTv379fuA1bsEyXVIR1xGVe48y4DeT4hAAEyhLw3xsExmXJcd1OEfADxTc+9sgtJlM9VeWxx6Ap/VXrTpXHNt9TFvm+cku1a5Vc31ynd4nfeeedQmB6J1mv0XFoX+PsL/b9zY7bVXUHHU3LvW2hXv1suu6Ufmyz3rhJV+F2o4VUbgTs94baTmCcmwextxUCdqDol6X9wmwibxtl69LzNq9pO6lt05Yu21bEpSvcdtm2Dz74QH7wgx9cb8OmLOyhefsa548++uhavIqbjtVVf1Z/UXkvv67MjTs9b6/1+SLddfe3srYV2WJt1zS2LWh6Lqm85Wb9QTpvAna+15YQGOftT6xviIAfKA1Vg1oI7AwBDXh1XOkd4KIjLK3QwDm23rioLOcgAAEIbErAz/cExpuSpFyvCfiB0uvG0jgINEjAb8PmqwpyXVpRZh2xL08eAhCAQBUCfr4nMK5Ck7K9JeAHim+ofeS2jkyvjZUtI089zovpj8nK1J0qj22+NyzyfeWWate77747X0us64XtNmxKRfNvvfXW/C5ykbxMf4z1t5RtTcuxrf6x0LTPUvpjPi1uLWdzIODnewLjHLyGja0T8APFGxD7Ao3JVE9VeerLOaY/JsO25fWu1udwszRu0qu4hG3YXnnlFdGt1vwR9i2+d+9e9JXPq/QHfbGxkCrbtBzbgpeWP1Pcc+W23EpyORHw8z2BcU7ew9bWCPiB0lrFVASBzAmEtcK6P7G/S6wyXUOs27SxjjhzR2M+BHpCwM/3BMY9cSzNqJeAHyj1akcbBPpJIGzDpj+0s4d9jfOqH9/Z60lDAAIQaIuAn+8JjNsiTz1ZEbADRR/92cd/TeQtHFuXnrd5TdtHjdu0pcu2FXHpCrc+2qYv4tA7wa+//rrYLdY+/vjj+Tri8BpnzdtDWdgjlm+DW1lb9Dpra5dsK7LF21r3WCjLrU+22TaTzpuAne+1JQTGefsT6xsi4AeKr8ZONOvI9NpY2TJyO6n5ulPlq9adKo9tRR5J+zxXbtofVm3DpmuLX3311fmexRo4Fx2p/pSSx7ilyjYtx7Yij1cbC037LKU/5tPi1nI2BwJ+vicwzsFr2Ng6AT9QWjeACiHQcQK6fji8rtkGvuu+xrnjzcQ8CECg5wT8fE9g3BuH/07Ojr+z8g1Q6vjB4DtyfPa72y2+mMrB8A2ZnL+8LdvRM36g7CgGmg2BQgJ6N1iXR9ht1jRQ/vDDD+fnY69xLlTISQhAAAJbIuDnewLjLTmi8Wrnwe5Q9o9PZRatbCYX04cy3D+Ws/iFUS2bC2dyefapHI7vXAf1w/GRPD27KKVydv5UHo725fDkcun62fkzeXKwf6XzjowPP5Wzy/IN9ANlSXliOUTqcVxVeepxXkx/TKZtrCrHNt9TFvkU11y42eBXg+PQLg2Ewzpi/aFdOII85P1nVXmMW1XdVctjm/f2Ip/imiu34tZyNgcCfr4nMM7BaxvY+PLkUPYGd+Vg+mWi9JcyPfh2iQA6oWZT8VUAPzqYLALX2XOZPtyXwfBNmTx/EdU6O/9MjuYB9Wg5MJ59LpMHd2Q4fiKnlzNZBM9DGT6YyPOSsbEfKN6Q2Jd7TKZ6qspjE0dKf9W6U+WxzfeURb4P3Iq2YXv//ffnW6+teo1zqt1V5bH+VlV31fLYVv9YqOqTquVjPi1uLWdzIODnewLjHLy2to1hWUWJ5REvT+Rwb8USC6l2Nzdt9ks5n7whg4GzM3m3+0LOnh7JeG8shz87kNFgOTCenR3L/tJ/ClbUEzHQD5TIpYgg0HsC4Y5w2IaN1zj33uU0EAI7Q8DP9wTGvXS93gW+K4O9QzlJLBueB5HDhzK9KLiVGu7mPnwq5yq+/E851ju0TS+7SAbGX8jkwZtyfHohcj6RsQuMb7uUwPg2E85AIE0gbMOmd4Q1rUspdF2xTiSsI07z4woIQKD7BAiMu++j6hbOTuV4fyjDg6nEV+ou7iyvvG4edA5ldPhMllfwVjdxtYarNc9Ld3xXX50OjPWu90QORnsyCgG+UacDYtVfuEwfn9lHaE3kQ136aevy+SbqtvXZtK87le+SbW3YYlnZdBc4WXtseh3b9O7w1772Nfne976nxURf46x53as4rCNW3VZ/mfxc2dU/tqyeiuXL6LblN7m+D7Zt0u62uPXJNttXSOdNgMA4b/+Vs/4qoE3+8G4eQH87sg75Qk6PH8hwHjzqD9j+TSb/52Rx97icJetfdflMDkdrrAeO3jH+QibjvUXgOxzL0bPzxA8Rb8z1A+VGQgoC/SZgt2HTdcW8xrnf/qZ1ENh1An6+ZylFD3tE6R/ezZcsuPW9RTwuz2Q6mcj/PhwvguTRI5mex38YV6Qmec79aC55vV4QDYyDhhdyPn0ko8EdeTD5vFRw7AdK0MQnBPpMIGzDptuu/fd//7c8fvx4vttEWFvc57bTNghAYDcJ+PmewLh3/aDsD+8226Zt8cO2PRlPvqiX3OWpTHR7tXWD7lKBsYhcLS8ZjCdyXsJyP1BKFOESCGRLwG7D9u///u/z9cNh+zWVcUAAAhDoKwE/3xMY987TZX94l96mbfZ8Ig+Gd2R89NnV8omwtGLVLhabwAxrgIcyHP9Unq17J/pWYBzWKDsbS6+7XrTBDxTfsti2PzGZ6qkqt+sBvV0p/VXrTpXHtiKPpH2+TW4ffPDBfMs1fYvddDq9Toe32cVsS/WHpuXYVn9/a9pnKf25+rTYE5zNgYCf7wmMc/DaOjbOt18bpH94F92mLVT4Qs5Pfi4Ho+HND9RGB/LkpPxa3aBp1eci+B7IYHQkJ2u8gONa363AWHfP0HXKe+ZHg2EpxT05PPnqumgs4QdK7FpkEMiVQNiG7fj4+Pr1zrqcggMCEIDArhDw8z2B8a54vpPtvLq7vWpniPmyh7DV2vJexdfNKQqMdeXE0pvvBrLO2/RUtx8o1/WRgEAPCOiuEroF29/93d/Ju+++e/0a5x40jSZAAAIQWIuAn+8JjNfCx8W7QsAPlF1pN+3sPwH9IZ2uH9alE2Edcdh+rf+tp4UQgAAElgn4+Z7AeJkPOQjMCdiBomvi7Lq4JvIWu61Lz9u8pu0avG3a0mXbirh0hdu2bNMf0ekuE1//+tflz//8z+eBsW7FpvaEow3bQl2+/6Ty2HZDzvrMcyviZK/XdN1j4cay5e+rPttm20w6bwJ2vteWEBjn7U+sb4iAHygNVYNaCLRCQNcN/8mf/In8xV/8hdy9e3f+so5WKqYSCEAAAh0n4Od7AuOOOwzztkPAD5TtWEGtEKhGQO8S/+u//qv8wR/8wXzdPK9xrsaT0hCAQP8I+PmewLh/PqZFNRDwA6UGlaiAQKsEdLu1P/uzP5Pf//3fl3/6p3+6fo1zq0ZQGQQgAIGOE/DzPYFxxx2Gedsh4AeKt8Ku2VtHptfGypaR2/WBvu5U+ap1p8pjW5FH0j6vm5u+uU778F/91V/J+++/X2zU1dkqPk2VbVoe49Z03Sn92Fbc7frKrbi1nM2BgJ/vCYxz8Bo2tk7AD5TWDaBCCGxA4L/+67/kT//0T+V//I//If/2b/+2gQaKQAACENgtAn6+JzDeLf/T2pIE/EApWYzLILAVArqW+J133pnfJf77v/974TXOW3EDlUIAAhkS8PM9gXGGTsTk5gn4geJrjD0OjMlUT1V57BFtSn/VulPlsc33lEW+SW4PHz6Ur33ta/KHf/iH8h//8R+3DEjVnZLHfJoq27Qc2265e34ixR1u9XMr1sjZHAj4+Z7AOAevYWPrBOxA0UnGTjRN5G0DbV163uY1bSe1bdrSZduKuHSFW1nbtA8W/YXyugexvr3u937v9+bbsIW7xEEe+pTm7RHLF5Wtm1tZW/Q6ayu23ZCzXMpwstdrels+LfJhrrbdeINU7gTsfK9tITDO3aPY3wgBP1AaqQSlEChBwPdFfUvd0dHRfAs2vUusexRzQAACEIDAZgT8dyyB8WYcKdVzAn6g9Ly5NK/DBGxf1H2I//iP/3i+DduPfvQjtmDrsN8wDQIQyIOA/Y5ViwmM8/AbVrZMwA8UX719/LeOTK+NlS0jt49Bfd2p8lXrTpXHtiKPpH0e46Z98d1335X79+/P/zT/i1/84rqilE+qymO2VdVdtTy2XXeDpUSKK9yWcF1nqnC7VkIiOwJ+vicwzs6FGNwGAT9QfJ2xL9CYTPVUlccmtZT+qnWnymOb7ymL/Kbc9CUd2he/+c1vyne/+935mmI9Z4+U7qrymE+r6q5aHttsT7hJp7jC7YaVTVXhZvWQzouAn+8JjPPyH9a2RMAPlJaqpZodIZDqX/pDOn1Jx2uvvTYPjO/evSuffPJJqW3YUrp3BDHNhAAEIFCKgP/OJDAuhY2Ldo2AHyi71n7a2yyBWP/SZRIaED969Ej++Z//eR4Ya1Bc9ojpLquD6yAAAQjsCgH/nUlgvCuep51rEfADxReOPXKLyVRPVXnsMWhKf9W6U+WxzfeURd5z8/1Luen2a7qOWLdgC8Hx97///XlgPBwOZTqdFipP6fZyryQlj/k0VbZpObZ5bxb3N38V3DyR6tyKNXI2BwL++5jAOAevYWPrBOxA0cndTvBN5G0DbV163uY1bSe1bdrSZduKuHSFm9qm/avJP60jHDbtfebzbXALdvm6U3lsuyEX82kRJ3u9puseCzeWLX9feZ/2yTbbZtJ5E7DzvbaEwDhvf2J9QwT8QGmoGtTuKAHtX7qOWLdf07QulfjVr341v1v89ttvL23DpvJVd4uL8NF3i6hwDgIQgEAxAf+dSWBczImzO07AD5Qdx0Hzayag/UvXEYcgWJdO6DkNlP2xbl9c93pfH3kIQAACu0TAf2cSGO+S92lraQJ+oPiC9tHkOjK9Nla2jNw+BvV1p8pXrTtVHtuKPHLj8/AaZ11LrGl9i50Gx9/61rfEb8MWNGlfjHGPyVL9oYw85tOm607px7bQS5Y/4bbMI+RSXFLyWH8LdfCZHwE/3xMY5+dDLG6BgB8ovsrYF2hMpnqqylNfzjH9MRm23azLXcffZbh99NFH19uvhZdz6Kuc9a6xLqN47733fJXXeQLjaxS3ErGx0HRfT+nHtlvump/oK7fi1nI2BwJ+vicwzsFr2Ng6AT9QWjeACntBIKwj1gBY9yXWvP49fvx4HhTrXePUQV9MEUIOAQhAYHMC/juWwHhzlpTsMQE/UHrcVJrWEIHPPvtsvv2aLpUIyyTClmwaGGuAXOagL5ahxDUQgAAENiPgv2MJjDfjSKmeE7ADRR/92cd/TeQtTluXnrd5TdtHtNu0pcu2FXFpi5sGwffu3ZsHxbpcInDSJRN65/idd94p5VPtg0V/RW3Tc+EokgdZsGVVvqhs3dxW1Y1tzfnQ949t+bSof+Vqm+3HpPMmYOd7bQmBcd7+xPqGCPiB4quxX+bryPTaWNkycjup+bpT5avWnSq/y7bpHeDwGmfdXSLcEdZA+fXXX59vxaY/tis6cuWW6g9Ny2Pcmq47pR/binp6+vsvV27FreVsDgT8fE9gnIPXsLF1An6gtG4AFWZFQAPhsI7YBr+xbdiyaiDGQgACEOgpAT/fExj31NE0qxoBP1CqaaN0XwmENcP6Gmf7Q7qwDZtuyxbWF/eVAe2CAAQgkDMBP98TGOfszV7YPpPLs0/lcHznej3lcHwkT88uSrVudv5UHo725fDk0lxfTacq8gPFKJ8nY49RYzItXFUee9SY0l+17lT5XbEtBL56l1h/ZGe52G3YwnIKK/d9SfO5cku1q2l5jFvTdaf0Y1tRT09//+XKrbi1nM2BgJ/vCYxz8FqfbbyYysFwKKODiZxdzkRmz2X6cF8Gwzdl8vxFtOWz88/kaB5Qj5YD4wo6Q4V+oITz4TM2KcZkWr6qPDZxpPRXrTtVvu+2aaCrP6LT/mHXESsXlYVt2MKP7sr0F70mV26p/tC0PMat6bpT+rEt9P7lz75yW24luZwI+PmewDgn7/XO1pdyPnlDBoM3ZHL+8qZ1V4Ht/vGpzG7OmtSFnD09kvHeWA5/diCjgQ2MN9Vp1Je4Y7x8NbldIKDrhfUOsQa/dh2xtj0sqVhnG7ZdYEYbIQABCHSdAIFx1z2EfSLJwPgLmTx4U45PL0TOJzJeCoxXAEzqXC7nB8qylNwuEdCgV9cQh9c4+7aHH96FN9p5OXkIQAACEOguAT/fc8e4u77aUctmcjF9KMPBXTmYfplmUCowXq1TB8Sqv1C5PhK1j0WbyIe69NPW5fNN1G3rs2lfdyrfJdvqsOUnP/nJ9dKI73//+0t+Uf0//vGP5wGzBs16rT1iHOuwzeovo69LtpW1Ra9bt51Vr++DbWX6Q1VOvnxZbn2yzbaZdN4ECIzz9l//rb98JoejoQwfTOR58TqKZQZlAuN1dbKUYpnxjuV0rbDeBdYvS11PHH5AZzGEZRV6HQcEIAABCORLgMA4X9/13/LZ5zJ5cEeG4ydyqj/EK3OkAuNNdBIYlyHfy2uKXuNsG6pBsr7imW3YLBXSEIAABPIlQGCcr+/6bfnlqUwO9mUweiTT8/huFEsgYoHxpjoJjJcQ70JG1xGHgNfvKBHaH7Zh07fbFd1FDtfxCQEIQAAC+RAgMM7HVztiqe45PJEDXT4x/qk8WycoVkKFgXFFnSUC49iWQzGZmlxVbtf3FXWSmP6YbBdt0wA3vMb5rbfeKsI5D4LH4/F8R4pVQXNVrrn6tGq7q5aPcauqu2p5bCscTsnvv1y5FbeWszkQIDDOwUs7ZOPs+UQeDAcyGB3JSdnlE5ZPQWBcWWeJwNiaQDpPAmE3CQ2M/fZroUVhGza9m8xd4kCFTwhAAAL9IUBg3B9f9qAlX8r04O7KXSEG44mcS9iX2O5VbJp+KzAuo9OUX5H0A2XFZZzOkIDe9dU1whrsauC76giBM9uwrSLEeQhAAAL5E/DzPdu15e9TWtAAAT9QGqgClS0T+PWvf329jlh/ZLfq0Ot0Czb90zQHBCAAAQj0l4Cf7wmM++trWlaBgB0outbQrjdsIm9NtXXpeZvXtF2Dt01bumyb5aJLIH74wx8uvcbZykM79FzYhk3XG2s+HKuut/KQ1k9b1ueLdHXFp23YVpbTNrj1wbYiH9r+qOm6+1tZbn2yzbaZdN4E7HyvLSEwztufWN8QAT9QGqoGtQ0TCIFu0WucbdUaPOs1q95uZ68lDQEIQAAC/SHg53sC4/74lpbUSMAPlBpVo6oFAuFHc7ocIraOWE1hG7YWHEIVEIAABDpKwM/3BMYddRRmbZeAHyjeGvtoch2ZXhsrW0ZuH4P6ulPlq9adKr9t23R3Cb3z+9prr82XRVg+3ja9S6xvttNrNTiOtS0mSzEvI/e2WbtT5bdpW9N1p/THuKXKNi3HNt+LF/kU91y5FbeWszkQ8PM9gXEOXsPG1gn4geINiH25x2Sqp6o8NnGk9FetO1W+KdvUH6v+tM0a5Oq6YL1m1WucrW36o7qwM4WW7Su3VLvKyC23OSjzT6o/NC3HNuMMk0xxh5uBZZJVuBk1JDMj4Od7AuPMHIi57RDwA6WdWqmlDAHvG91hQu/66vZrq/YjtnrZhs3SIA0BCEBgtwn4OYXAeLf7A61fQcAPlBWXcXoLBIJvdO1weI1zah2xmqlBM9uwbcFhVAkBCECgwwTCnBJMJDAOJPiEgCHgB4oRzZOxR24xmRauKo89Bk3pr1p3qnwbtqlvwmuc9e5vOGK26e4UX/va1+bLLML1/jNWPiZTPVXlbXDz7Q35lO0x21Jlm5ZjW/Di8meKO9yWeYVcFW5BQUjh8wAAIABJREFUB5/5EfDzPYFxfj7E4hYI2IGiX5b2C7OJvG2SrUvP27ym7aS2TVvatu3jjz8WDYRDYKx5e3hOmg/bsL366qvzu8vh+m1yK6q7Kz5tw7bgA/3U+uwRy2PbDal1OdnrNV13f7uxLO7TIh/mapttM+m8Cdj5XltCYJy3P7G+IQJ+oDRUDWodgVXc7WucV10TVAV52IZNd6kIP7AL1/AJAQhAAAIQUAJhzgg0CIwDCT4hYAj4gWJEJBsk4Ln71zhrgOuv8eao3G7D5uXkIQABCEAAAoGAn1MIjAMZPiFgCPiBYkTzpH38t45Mr42VLSO3j0F93anyVetOla9qW+CuAbBdR6x5XTrx13/91/PA+Ec/+tGtpqttGkirjqIdKqradqtCcyLFJSXP1bZUu5qWx7g1XXdKP7aZAWKSfeVmmkgyMwJh3glmExgHEnxCwBDwA8WI5snYl3tMpoWrymMTbkp/1bpT5avaptzr+PP+0nxV24p0hnMpLil5rral2tW0PMat6bpT+rEtjI7lz75yW24luZwI+PmewDgn72FrawT8QGmt4h2uSLdcU+6x1ziHpRT6GQ7dhk3vEGu5cMc4yPiEAAQgAAEIxAj4+Z7AOEYL2c4S8ANlZ0G00PAQ2OpLOspwt9eEl3vomuJwWHk4xycEIAABCECgiICfMwiMiyhxbucJ2IGij/7s478m8ha4rUvP27ym7SPabdpS1TZdM/zDH/5wHgzrNmya9231ea1TfaN3jP/mb/5m/lrn8HKPcK3Ki7h0hduu21a2rxf1r+DjIKvbp32wrah/dYVbn2yzfYV03gTsfK8tITDO259Y3xABP1B8NXaiWUem18bKlpHbYMDXnSpfte5U+bK2hTu99kdyKd1Brr7Ru8t+G7YgL2Ki58raVlQ+pbuqPFfbqra7avkYt6q6q5bHtqKRlP7+y5VbcWs5mwMBP98TGOfgNWxsnYAfKK0b0NMK9e6urgW+f/++hDu9ZZuqd4l1yYT6RgNrDghAAAIQgEBVAn6+JzCuSpTyvSTgB0ovG9lio3Qdsd7h1Tu9+nrmdQ/9UZ0G1HqHGd+sS4/rIQABCEBgFQE/pxAYryLF+Z0m4AeKhxF7zBqTqZ6q8tijxpT+qnWnynvb9C6vrh/WgFj3JfavcbZcV+kOr4FWnxT9BR2ryge5ty2cD5+x8jGZlq8qz9W2qu2uWj7GraruquWxLYys5c8U11y5LbeSXE4E/HxPYJyT97C1NQJ+oPiKY1/uMZnqqSqPTRwp/VXrTpW3tulyB10yoXd59Y7vuraF3SrCNmypulNya9vcGPdPrHxMlmpXGXmutjXNJaU/xi1Vtmk5trkBdpVNcc+VW3FrOZsDAT/fExjn4DVsbJ2AHyitG5BxhRoEazCsQfEvf/nLjVoSfpyna4rtnsUbKaMQBCAAAQhAYAUBP98TGK8AxendJuAHym7TKNd6DWD9a5zLlby5SnWEtcjr/jjvRgspCEAAAhCAQDkCfr4nMC7Hjat2jIAdKProzz7+ayJv8dq69LzNa9o+atymLdY2XQf8yiuvzO8S6xKIIPO2x/Lvv/++vPrqq9fbsBW1ba746h+rK9QX5EVlu8Jt120LPvI+S+Xb4NYH24o46blwaLrusRB066ety+f7ZJttM+m8Cdj5XltCYJy3P7G+IQJ+oPhq/Je/lcdkel1VuZ3UbL0hHdMfk21imy6VCOuI9Q7vprbpkgkNrGPbsFW1fVPbNuESfBE+U7bnaluqXU3LY9yarjulH9tC71/+7Cu35VaSy4mAn+8JjHPyHra2RsAPlNYqzqSi8MM43W0iFsymmmO3YQt3mlNlkEMAAhCAAATqIuDnewLjusiip1cE/EDpVeMqNEbXAIeXbOjyiSo/jNP9jJWz6uGAAAQgAAEIbIOAn+8JjLfhBep0BGZyefapHI7vXO9TOxwfydOzC3ddcXZ2/lQejvbl8OTy9gWz5zJ9uC97hyfy8rZ05Rk/UPyFsceBMZnqqSqPPaJN6a9StwayutxBfxy36u5uGdvC3eawDVtgW8W2VLtVXsa2YIv/xDZPZJFvmktKf8ynqbJNy7Ftsz6TK7fi1nI2BwJ+vicwzsFrfbfxYioHw6GMDiZydjkTuQpmB8M3ZfL8RbT1s/PP5GgeUI9uB8azc3l2NJbhYEBgfEVxk2DAvsZZfyAXO2KTmpZ799135y/7KNqGbRPbrC2p8inbYuVjMrWhqjxX26q2u2r5GLeququWxzY7Om/SKa65crtpIancCBAY5+ax3tv7Us4nb8hg8IZMzs093atgef/4VGaFDC7k7OmRjPfGcvizAxkNbGAc7kCPZHz4v+RgNKw9MC40qWcn9c5u2Dptk9c4Wxx2G7ZN9za2+khDAAIQgAAE6iBAYFwHRXQ0TyAZGH8hkwdvyvHphcj5RMZLgbEG2/9Txsf/KZfyhUzGewTGa3hMg9jwGuaiO7trqJpfqnecdecKDbKrrElet16uhwAEIAABCKQIEBinCCHvAIGZXEwfynBwVw6mX6btuRUY2yLxwFgHxKq/oEUf7dnHe03kQ136aevy+SbqtvX9wz/8w3ypg765Tu8YW5m3xeeLbPvbv/3buT6941wkt/rLyLXOcNiyes7my+iq+/pgl7fF53fdtrKctsGtD7btev/y47qsT9flZvWSzpsAgXHe/tsN6y+fyeFoKMMHE3levI5imUOFwHhZ0U3OD5QbST9Tele36mucLZmwDZv+wG7VD/Xs9aQhAAEIQAAC2yDg53t+fLcNL1DnagKzz2Xy4I4Mx0/kVH+IV+YgMC5DqfAaDVrta5wLL1rzJNuwrQmMyyEAAQhAYGsECIy3hp6KkwQuT2VysC+D0SOZnsd3o1jSRWC8hKNsRtcR6ws6NDCuY+2v6gh3nfWOMQcEIAABCECg6wQIjLvuoZ20T3eRmMx3jxiOfyrP1gmKldcWAuPYlkMxmZpbVW7X0BV1l5h+lfnXOFsdsbIx21WnBtm6pjgWZMf0x2SxuoP9qfJVuYV6ij5TdafkudqWalfT8hi3putO6ce2opGS/v7LlVtxazmbAwEC4xy8tGM2zp5P5MFwIIPRkZyUXT5hGW0hMLbV55LWu7jhjm6V1zjb9moQHJZisA2bJUMaAhCAAARyIEBgnIOXdsrGL2V6cHflzhCD8UTOJex1bPcqNpAIjA2M20kNXut6jbPVzjZslgZpCEAAAhDIkQCBcY5ew+bWCfiB0roBNVWoP4TTJQ6x1zhvUlVYn1z1xR+b1E0ZCEAAAhCAQF0E/HzPrhR1kUVPrwjYgaJrCe16wibyFp6tS8/bvKbtGrxVtoS7ua+//rrY1zivuj7Ub+vydWv+gw8+EN2CTf90aYa9XtNlbLN1+fKpfChbZFuqLLYt6FlOnqPKrFzTdXMr60Ns+/k1KusTz8Xni3xoy2/Tp32y7do5JLInYOd7bQyBcfYupQFNEPADpYk6mtCp26/pOmK9S1zXOuJgZ7j7rHeLOSAAAQhAAAJ9IODnewLjPniVNtROwA+U2iuoWaGuI67zNc7WPNUdfrSnd6I5IAABCEAAAn0h4Od7AuO+eJZ21ErADxSv3D6aXEem18bKlpHbR9t6vd4Z1jvEGrzqHeOY/pisqO6wDVvY6zhV3tumOu0RKx+TqY6qcmyznrhJp7jGuKXKNi3Hths/2lSKO9wsrZt0FW43WkjlRsDP9wTGuXkQe1sh4AeKrzT2BRqTqZ6q8jCp6d1bXet7//59sXdyY/pjMmvbqm3YUuWDbZ5XyMfKx2TWtqDLf6bKY5sntshX4ZYq27Q85tOm607px7bd6m/FreVsDgT8fE9gnIPXsLF1An6gtG5ApMImXuNsq9Mf1WmwrXegNUDmgAAEIAABCPSVgJ/vCYz76mnaVYmAHyiVlNVUOKwj1mUTYWlDTaqv1bAN2zUKEhCAAAQgsAME/HxPYLwDTqeJ6xPwA8VriD1GjclUzyZy+xrnH//4x96cpXxM/yqZ3oXWZRm6vZveMV51rCofro89PtZrYuVjslTZMnJsC15a/kxxj3FLlW1ajm3Lvgy5FHe4BVLLn1W4LWsilxMBP98TGOfkPWxtjYAdKPplab8wm8jbhtm6NEhVW1b91WFL2N5N7xbbutWmdfJ6rZ1w67DN1m/TKduK6sa2RS+LcWyD26q+3gWf9sG2Ih9an2u67rFQllufbLNtJp03ATvfa0sIjPP2J9Y3RMAPlIaqWanW/vhNA9aw1rdOu1SnvhHP/3hvpVEIIAABCEAAAj0j4OdVAuOeOZjm1EPAD5R6tJbTEtb56jpiXeJgj7rs8tuw2TpIQwACEIAABHaFgJ9XCYx3xfO0cy0CfqD4wvbR5DoyvXZVWfsaZ7v9mtWvdtnHoFYW0qv0q/zjjz+WTz75ZL7vsQbH/oiV1WtT8iq2pXRXlWOb9/Yin+Ia45Yq27Qc2/CpJbDN/mbtIJ0XAT/fExjn5T+sbYmAHyi+2tgXcEymerxc7wqHdb76sg4vt3VXCYx1vfKrr756/SIQqzekY3UX2R7Khc9YoJIqX7XuVHlsC15a/qzCLVW2aXnMp03XndKPbcv9LOT6yi20j8/8CPj5nsA4Px9icQsE/EBpokpd46t3b7Uuu4441FVkQ9lzQUf4VP1a9he/+EU4xScEIAABCEBg5wn4eZXAeOe7BACKCPiBUnRNlXP+Nc5FurwNGkjrufBDvFDGXxfO62fYhk23Yottw2bLkIYABCAAAQjsCgE/hxIY74rnaedaBOxA0Ud/9vFflbyuHda9gnVJQ1hHbHWrkSGvNpT9C42ztund4VdeeUV++MMfBvFcd9Af6vL564uNLeGcvTaUtzL7+NjaEq615TeRh7qCvlX5It3YtqBlfeA5tsFtlc+8LT6PbTfk1vWhvV7TdY+FG8tuvr/COV93Kp+LbaF9fOZPwM732hoC4/x9SgsaIOAHiq/CfrmXkemdW90aTd9ap+uJY0fQ7W340Y9+NA+Uv/71ry/dNfbX6Q/sVm3DFnSvqr+q3E5qRXXE9MdkqquqHNuKPJLmGuNW1SdVy2MbPrUEqvanVPlYf7N2kM6LgJ9DCYzz8h/WtkTAD5RNq9VlD2F9r64n9ssgYnqLbNBzXoe9Tu9Ca/CtgbG/LlYXMghAAAIQgMAuErBzqLafwHgXewFtThLwAyVZoOACXUesL8/QO8SbrO8tsmHVOQ2CY9uwFZjHKQhAAAIQgMDOE/DzKoHxzncJABQR8APFXxN75Pb+++/Pg2ENiuveK1jt8o/zNOjWH9dpAK5LNmK2xWTaxqpyb9s63KrWnSqPbd4bi3wVbqmyTctjPm267pR+bNut/lbcWs7mQMDP9wTGOXgNG1sn4AeKN6BoUtS7tvq2Ov3Bmy6fWHUUlbXXxuQ+MA7LNOw2bLHyMZnaUFUeCwZS+qvWnSqPbbaX3aSrcEuVbVoe82nTdaf0Y9tNH7OpvnKzbSSdFwE/3xMY5+U/rG2JgB8oqWo1QNW1vUWvcU6VXUce7AovBWEbtnXocS0EIAABCEBgmUCYV8NZAuNAgk8IGAJ+oBjRUlKXSoR1xGH7taULas6oXWEP5HV/zFezKaiDAAQgAAEIZE/Az/cExtm7lAY0QcAOFH30Zx//afqjjz6ar+nVu8TvvPPOLbm/PpW3bbDX6nm1ZdWfXmuvryMfs8XWpdfZvKbt4+M6bPH6y9pWVDe2LehZpkU+tHJN182trA+x7efXqKxPPBef12vt9UX5bfm0yBZvay62XTuHRPYE7HyvjSEwzt6lNKAJAn6ghDrC7g8q1+UTRVui2S/6UM5+biK327C99957Vt2tdEx/TKaKqsrtpHbLsIT+qnWnymNbkUfSPo9xSzFvWo5t+NQS2GZ/s3aQzouAn+8JjPPyH9a2RMAPFK1Wf+AW9gjWNb5tHCEQ13p1CQUHBCAAAQhAAAL1EfDzPYFxfWzR1CMCdqDo3VpdR6w/dGtjHXHA6LdhC+f5hAAEIAABCECgHgJ2vleNBMb1cEXLxgRmcnn2qRyO71yvox2Oj+Tp2UUpjbPzp/JwtC+HJ5fm+iKdhzI5OZeZuSqW1IFiX+Nst0PTcrFHdjFZqmyQa31qQ9G2b7HHx6G8fhYdddhWpDecw7ZAYvkzxT1Xbql2NS2PcWu67pR+bFseAyHXV26hfXzmR4DAOD+f9dvii6kcDIcyOpjI2eVMZPZcpg/3ZTB8UybPX0TbPjv/TI7mAfVoOTCencrx/lCG45/Ks/MXRudDmV6UC411oOjfqp0fYl/uMZk2KCbXYPzevXvzu9Or3pYXm3BT+mN1p8qWkWObUrp9pLjnyi3VrqblMW5N153Sj223x4Ge6Su34tZyNgcCBMY5eGlnbHwp55M3ZDB4QybnL29afRUs7x+frrjDeyFnT49kvDeWw58dyGiwHBjPzo5lv/DcXTmYfnlTz4qUruvVgdLWOuJghm79pmuJVwXj4To+IQABCEAAAhCohwCBcT0c0dIkgWRg/IVMHrwpx6cXIucTGS8FwTO5mD6UoQ+2X57I4d5QVgfbyw3yA2VZWm9OA/HHjx/Pg+I21zDX2wq0QQACEIAABPIj4Od71hjn58OeWxwC23J3d28HxivuQs8D44HsHZ6IuTd9va5ZB4b/C6D1kah9LFpnXgPhb3zjG/PAOGz9ZutSG2y+zrqDbq8/tDvIy+a7ZFsbtmzKbddtK9uffP9rg1sfbGuDE33f9hTSuRMgMM7dg323//KZHI6GMnwwkedllgPfumO8XmC8CqcfKKuuq3Jel0ywDVsVgpSFAAQgAAEIVCPg53vuGFfjSek6Ccw+l8mDOzIcP5FT/SFemSPDwDhsw6bbv7W9jrkMUq6BAAQgAAEI7AoBAuNd8XRu7bw8lcnBvgxGj2SqO0mUPW4FxiIvTw5lr6NrjGPbsJVtMtdBAAIQgAAEIFAPAQLjejiipTYCuufwRA50+UTYXm0d3QWB8WJXCrdGeX6dOxepxw8Uf2lsy6Eimd4Zfvvtt+cvCvnggw+8uqV8UXl7gV3fZ8+HdKx8TKblq8qxLXhh+TPFNVduqXY1LY9xa7rulH5sWx4DIddXbqF9fOZHwM/3LKXIz4e9snj2fCIPhgMZjI7kpOzyCUugIDCW632Mr5ZkXO+NvN4+xraaKmm2YatCj7IQgAAEIACB5ggQGDfHFs1rE/hSpgd3b+0GoZ10/jeeyLmEH9Mt71V8XVVRYCw3d6GvdY0O5Mmab767rmPDhN2GTYNjDghAAAIQgAAEukWAwLhb/sCajhLwA2VdM3Ubtvv37y9tw7auDq6HAAQgAAEIQKBZAn6+ZylFs7zRnikBO1B0TZxdF5fKv/XWW/LKK6+I/tBOj9T1Vne43mKzck3btYtldPvyqfyqunOyrYhLV7jtum1V+pfvu3X7tA+2FfWvrnDrk222r5DOm4Cd77UlBMZ5+xPrGyLgB0qZatiGrQwlroEABCAAAQh0h4Cf7wmMu+MbLOkQAT9QUqbp3WF9WcdkMkldihwCEIAABCAAgY4Q8PM9gXFHHIMZ3SLgB4q3Ljya1B/YhW3Y9I6xHkHmy4R8Vbl9fBx02s+Y/phMdVSVY5v1xE06xTVXbql2NS2PcWu67pR+bLvp/zbVV262jaTzIuDnewLjvPyHtS0R8APFV6tf7mEbtg8//FA0QA5H6ou/qjw24aoNMf0xWapsGTm2hV6w/Jniniu3VLualse4NV13Sj+2LY+BkOsrt9A+PvMj4Od7AuP8fIjFLRDwA8VWqUGwBsO6dIJt2CwZ0hCAAAQgAIG8CPj5nsA4L/9hbUsE/EAJ1YZt2HT5hL1LHOR8QgACEIAABCCQDwE/3xMY5+M7LG2RgB8oWrX+sE7vEusP7WKPA2My1VNVHntEm9Jfte5UeWwr7qR95ZZqV9PyWH9ruu6UfmyrfyykmDctj/m0uLWczYGAn+8JjHPwGja2TsAOlA8++EBef/11+cEPfiD6Azv98rVfwHXkbQOtbj1v85q2X8511O31l7Wly7YVcekKt123rUr/8n21bp/2wbai/tUVbn2yzfYV0nkTsPO9toTAOG9/Yn1DBMJAYRu2hgCjFgIQgAAEINABAmG+D6YQGAcSfELAENCB8vjx4/lrnXVdMQcEIAABCEAAAv0jQGDcP5/SogYI6EDx27DZauyjSXte0zFZHXL7+NjXndKPbUXEFudibGKyFPMy8lx92jSXlP4Yt1TZpuXYVjzWUtxz5VbcWs7mQIDAOAcvYePWCfiB4g2KfbnHZKqnqjw2caT0V607VR7bfE9Z5PvKLdWupuWx/tZ03Sn92Fb/WEgxb1oe82lxazmbAwE/37OUIgevYWPrBPxAad0AKoQABCAAAQhAoHECfr4nMG4cORXkSMAPlBzbgM0QgAAEIAABCMQJ+PmewDjOC+mOErADRR/P2Ud0TeQtZluXnrd5TdvHedu0pcu2FXHpCrddt61sXy/qX8ouHJqu26dBt687lW/Dp2VtK7KlK9z6ZJv1B+m8Cdj5XltCYJy3P7G+IQJ+oPhq7ESzjkyvjZUtI7fBgK87Vb5q3any2FbkkbTPc+WW6g9Ny2Pcmq47pR/b6h8LKeZNy2M+LW4tZ3Mg4Od7AuMcvIaNrRPwA6V1A6gQAhCAAAQgAIHGCfj5nsC4ceRUkCMBP1BybAM2QwACEIAABCAQJ+DnewLjOC+kO0rADxSPIfbILiZTPVXlqcd5Mf0xGbbdrF9dx9+7zK3p/pTSHxsLqbJNy7HNj6JFPsU9V27FreVsDgT8fE9gnIPXsLF1An6geANiX+4xmeqpKo9NHCn9VetOlcc231MW+b5yS7WraXmsvzVdd0o/ttU/FlLMm5bHfFrcWs7mQMDP9wTGOXgNG1sn4AdK6wZQIQQgAAEIQAACjRPw8z2BcePIqSBHAn6g5NgGbIYABCAAAQhAIE7Az/cExnFeSHeUgB0o+njOPqJrIm8x27r0vM1r2j7O26YtXbatiEtXuO26bWX7elH/Unbh0HTdPg26fd2pfBs+LWtbkS1d4dYn26w/SOdNwM732hIC47z9ifUNEfADxVdjJ5p1ZHptrGwZuQ0GfN2p8lXrTpXHtiKPpH2eK7dUf2haHuPWdN0p/dhW/1hIMW9aHvNpcWs5mwMBP98TGOfgNWxsnYAfKK0bQIUQgAAEIAABCDROwM/3BMaNI6eCOIGZXJ59KofjO6KdU/+G4yN5enYRKXYhZ0+PZDxcXD8Y3JHx4UROzl9cl5mdP5MnB/tXOocyOvj5kvz6whUJP1BWXMZpCEAAAhCAAAQyJuDnewLjjJ3ZC9MvpnIw1MB1ImeXM5HZc5k+3JfB8E2ZPL8JdG1bZ2fHsq/B8NFncq5Fzp/Kw9FQhgdTmYfTl8/kcLQno4dP53KRF3I+fSSj0ZGcaB0lDj9QfJHYI7uYTPVUlace58X0x2TYdrN+dR1/7zK3pvtTSn9sLKTKNi3HNj+KFvkU9xy4ffLJJzKZTOS3v/1tcSM5mxUBP98TGGflvr4Z+1LOJ2/IYPCGTM5f3jTuKljePz6V22Hs7+Ts+Dsy2DuUk+siV+eGD2V68VIupg9lOPiOHJ/97kbnyxM53LsrB9Mvb85FUn6gRC5FBAEIQAACO0TgN7/5jXz44Yfy2muvESD3wO9+vicw7oFTe9eEaGD8pUwP7spgPJFz0/CXJ4eyNw+GL4uDbflCJuM92Ts8ket42pT3ST9QvJw8BCAAAQjsNgEC5H7438/3BMb98GuPWjG7uuO76u7uIsAtDoxHcnhyUXzHeB5sD26WWySI+YGSuBwxBCAAAQjsKAEC5Lwd7+d7AuO8/dk/6+frg4cyfDCR57fXUYhc3fldHRhfivg1xrNzeXY0lqH+uM/dadYBwR8M6AP0AfoAfaCuPnD//v3+zc09bpH63R7LOd3Y2F1gLyYNgUYJzD6XyYM7Mhw/kdOVP5JL3TG+nJs4O/9Mjq53utiXg8n/I8c9WUrR5TGKbZuNELjBbTMCm5Wiv9XLLdwxVq669ljzHPkQ8OOBwDgf3/Xb0stTmej2aqNHMjXbrt1u9KWcHI7E3/m9WWNsfnBnC0fXLdsLF2k/UG5fsb0z2LYZe7jBbTMCm5Wiv/WfGwHxZj7uWik/VgmMu+ahnbNH9zGeyIFutzb+qTyLBsUKx+5AEdZaXO1uMd+VYiaL7dyW1ygvzt2Tw5OvShH2A6VUoZYuwrbNQMMNbpsR2KwU/a2/3AiIN/NtV0v5sUpg3FVP7Yhds+cTeaAv6lhjj+HrfYyP/1N04cStfYxnp3K8r4H21ZKMyzN5ejiWvZXrlm/D9gPl9hXbO4Ntm7GHG9w2I7BZKfpbf7k9fvyYJRObubeTpfxYJTDupJt2xairrddW/QBu/kO5sNex7jixWD8sciFnk4cyui53+812y2uM9c14ny5eIFISrR8oJYu1chm2bYYZbnDbjMBmpehvcNuMAKXaJuDHKoFx2x6gviwI+IHSJaOxbTNvwA1umxHYrBT9DW6bEaBU2wT8WCUwbtsD1AcBCEAAAhCAAAQg0AkCBMadcANGQAACEIAABCAAAQhsmwCB8bY9QP0QgAAEIAABCEAAAp0gQGDcCTdgBAQgAAEIQAACEIDAtgkQGG/bA9QPAQhAAAIQgAAEINAJAgTGnXADRkAAAhCAAAQgAAEIbJsAgfG2PUD9HSWgb+D7VA7Hd0QHif4Nx4cyOTmX8H69jhreHbNmz2X6cF/2Dk/kZXes6qglRf3tSJ6eXXTU3u6YNTt/Jk/09fHzcbr+HuXdacm2LJnJ5cmRjAZ2b/ht2dL9el+eHMre9Z75i7lhALvuO24NCwmM14DFpTtE4PpteVevpb4K8gZXr5neIRKbNXV2Ls+OxjIcDAiMyxC8mMrBUF9MM1m8eOa6v70pk+cvymjYzWtmn8vkwZ3rt1o+GRCBAAAKpUlEQVRev/Vyjbda7ia4m1Zfv22U4O4GysrU1QummAdWEuqDgMC4D16kDbUTWLxmevkOyuLcXTmYfll7ff1RGO58jmR8+L/kYDQkME46N7zN8Q2ZnJt761fB8v7xKU8pVjC8PSZXsFxRfudPX/3HYnG3ffn7bufZFAK4lJPDkQz2j+WMR4eFhPpwksC4D16kDTUTmMnF9KEMBy5QeXkih3tDIVCJ4dbA5H/K+Pg/5VK+kMl4j8A4hismIzCO0VkhIzBeAabg9At5PnlThqNH8unkkexxx7iAkTsVniQeTIVFTo5Nj7IExj1yJk2pi8CKyXUeGLM0oDxlAuPyrPyV4T9nPKHwZFbn9WnFRA5GezJ6+FTOuaO3GpXM5PL0iYyH9+Tw5CtZrJvljnEE2EI0/8/qQIajkXw7rDMeHcgTfnuSRJfTBQTGOXkLW1siQGBcD2gC4405Xj6Tw9FQhqyVLYlw0dfmSwKGYzl6xo9ko+Dm/WtPRofP5FKEwDgK60a4WLozvOYm7j8YN1eSypkAgXHO3sP2hggQGNcDlsB4I47uB2Ub6djZQi/kfPpIRoM78mDyOWuzC/vBV3JyeE8GoyM5uVzcVueOcSGocidZXlGOU0ZXERhn5CxMbY/AYqJgjXE14gTGa/O7PJWJbj02eiTTc3ajWJufFrgKVAbjiZxvpKDnha6WhM3vroflAOaT7RXX9f/V0wr627rgOns9gXFnXYNh2yRw+9fuInI+kfGANZ/l/UJgXJ5VWB87lOH4aovA8oV39MqwDvs7cnz2uxsG3MG7YVEyxR3jMqBi/W2PH2WXQZjJNQTGmTgKM1smECbX8RM51ceN1/vKPpTpBb/qKecNAuNynLR7TeTBcLD0eLts2Z2+zq2VFQlLKRY/KttpNms0nsC4JKxV/W3IfuMlCWZxGYFxFm7CyPYJ3NzBu37kyK+P13QDgXE5YF/K9ODu9RsWr/tbeLzNI9ooxuU33+kbKnljYBRYgZDAuADKilP0txVgenSawLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABCAAAQhAAAKbEyAw3pwdJSEAAQhAAAIQgAAEekSAwLhHzqQpEIAABGIEZudP5eFoKPrFPxz/VJ6dv4hdXpusmXpfyPn0kYwGAxkM7sj46DM5n9VmMoogAIEdJUBgvKOOp9kQgMCuEfhSpgf78mDyuczkKzk5/L9k//hUmo8lG6r3YioHe2/K5PkLkctncjj6rhyf/W7XnEp7IQCBmgkQGNcMFHUQgAAEuk/gd3J2/N14YKyB5/ANmZy/rLE5JerdpLbZqRzvExhvgo4yEIDAMgEC42Ue5CAAAQj0nsB8acP4PZmuXEoxk4vpQxnuH8tZjbeU0/Vugl6XVLwn44dPWUqxCT7KQAACSwQIjJdwkIEABCDQcwKX/ynHD/5Rjk8vIg3V5Q/fjt9RjpQuFJWqt6jkSzmfvDFfF60T1vXfeCLnMpPL0yfy4METOb2sMYIvMoNzEIDAThAgMN4JN9NICECg3wR0icJ3ZLB3KCdm5cPs+UQeDIdXAe4iiBzvPUgExSLy8kQO976zYs3uFzIZ78lw/H/Lzw72rwJV/fHbVE7+v5/KeHgVvI4eyuRMg++y9V7I2dOjm/L6g7rDT+VsZcB7IafHD2RvTFDc775N6yDQLgEC43Z5UxsEIACBBghcLX0Y2DXB+gO7ezIYHcmJBpfzdbiLHSnCXde9wxMxcfS1XbOzY9kfPpTpRdFd2EVgPBjsy8HkVC5lEaAO9W7u6NFiecb8x3BDGehSjJe6/jdVb7B/Xx5On8ssBNPXQf21adeJuY32DvJgJIcnl9dyEhCAAAQ2IUBgvAk1ykAAAhDoGIFFoHgTHC7uFt+52oViHWMXd5+HB1MpXmxxFRib9ceLuvdkPPniqqJLOTkc3bqDvdqKsFzinhyefLX6MiQQgAAEGiZAYNwwYNRDAAIQaIXAfBeJEJzqGuG7izu2RTd9YwbN7yx/Ww6mX6646iownq/xvbrkfCLjpTu26wbGIqJrkMd3FkszhmM5/N8T+T8nuoqYAwIQgEB7BAiM22NNTRCAAASaI3C1VGLv8Jl8dXIko8GGd1+T27Q1FBjPyczk8uz/lcnk3+RwHiQPZcRuE831GTRDAAK3CBAY30LCCQhAAAI5Eri6S/zdR3L44I4MH0zk+dq3W8ts09ZkYGy5X/2gcGndtJWThgAEIFA/AQLj+pmiEQIQgMAWCIRAUneF2PBusZTZpq2JwPiFPJ+8KcPhWI6eXS2fCEsrzFrmLUClSghAYMcIEBjvmMNpLgQg0FcC4QdsA1n9w7lE26PbtIWyTQTGuqvbuZw8OZDR9U4TQxkd/FxOVr6EJNjDJwQgAIH6CBAY18cSTRCAAAQgAAEIQAACGRMgMM7YeZgOAQhAAAIQgAAEIFAfAQLj+liiCQIQgAAEIAABCEAgYwIExhk7D9MhAAEIQAACEIAABOojQGBcH0s0QQACEIAABCAAAQhkTIDAOGPnYToEIAABCEAAAhCAQH0ECIzrY4kmCEAAAhCAAAQgAIGMCRAYZ+w8TIcABCAAAQhAAAIQqI8AgXF9LNEEAQhAAAIQgAAEIJAxAQLjjJ2H6RCAAAQgAAEIQAAC9REgMK6PJZogAAEIQAACEIAABDImQGCcsfMwHQIQgAAEIAABCECgPgIExvWxRBMEIAABCEAAAhCAQMYECIwzdh6mQwACEIAABCAAAQjUR4DAuD6WaIIABCAAAQhAAAIQyJgAgXHGzsN0CEAAAhCAAAQgAIH6CBAY18cSTRCAAAQgAAEIQAACGRMgMM7YeZgOAQhAAAIQgAAEIFAfAQLj+liiCQIQgAAEIAABCEAgYwIExhk7D9MhAAEIQAACEIAABOojQGBcH0s0QQACEIAABCAAAQhkTIDAOGPnYToEIAABCEAAAhCAQH0ECIzrY4kmCEAAAhCAAAQgAIGMCRAYZ+w8TIcABCAAAQhAAAIQqI8AgXF9LNEEAQhAAAIQgAAEIJAxAQLjjJ2H6RCAAAQgAAEIQAAC9REgMK6PJZogAAEIQAACEIAABDImQGCcsfMwHQIQgAAEIAABCECgPgIExvWxRBMEIAABCEAAAhCAQMYECIwzdh6mQwACEIAABCAAAQjUR4DAuD6WaIIABCAAAQhAAAIQyJgAgXHGzsN0CEAAAhCAAAQgAIH6CBAY18cSTRCAAAQgAAEIQAACGRMgMM7YeZgOAQhAAAIQgAAEIFAfAQLj+liiCQIQgAAEIAABCEAgYwKlAmO9iD8Y0AfoA/QB+gB9gD5AH6AP9L0P2Lh+YDOkIQABCEAAAhCAAAQgsKsECIx31fO0GwIQgAAEIAABCEBgiQCB8RIOMhCAAAQgAAEIQAACu0rg/wcsuGyYmlILGwAAAABJRU5ErkJggg==\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Estimate the absolute uncertainty in <em>a</em>.</span></span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">a straight line cannot be drawn through all error bars<br/><em><strong>OR</strong></em><br/>the graph/line of best fit is /curved/not straight/parabolic etc.<br/><em><strong>OR</strong></em><br/>graph has increasing/variable gradient ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Do not allow “a line cannot be drawn through all error bars” without specifying “straight”.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>15</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">m</mi><mo> </mo><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math>  <em><strong>AND </strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>∆</mo><mi>v</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>05</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">m</mi><mo> </mo><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>05</mn></mrow><mrow><mn>1</mn><mo>.</mo><mn>15</mn></mrow></mfrac><mo>=</mo></math>»0.04 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span></span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">NOTE: Accept 4 %</span></span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of 2 correct points on the line with Δ<em>v</em><sup>2 </sup>&gt; 2 ✔</p>\n<p><em>b</em> in range 0.012 to 0.013 ✔</p>\n<p>s<sup>3 </sup>m<sup>–2 </sup>✔</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>a</mi><mi>max</mi></msub><mo>=</mo><mn>2</mn><mo>.</mo><mn>101</mn></math> «s» ±0.001 «s» <em><strong>AND</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>a</mi><mi>min</mi></msub><mo>=</mo><mn>2</mn><mo>.</mo><mn>095</mn></math>«s» ±0.001 «s» ✔</p>\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>2</mn><mo>.</mo><mn>101</mn><mo>-</mo><mn>2</mn><mo>.</mo><mn>095</mn></mrow><mn>2</mn></mfrac><mo>=</mo></math>» 0.003 «s» ✔</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "tools"
+    ],
+    "subtopics": [
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.11",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">Monochromatic light of very low intensity is incident on a metal surface. The light causes the emission of electrons almost instantaneously. Explain how this observation</span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">In an experiment to demonstrate the photoelectric effect, light of wavelength 480 nm is incident on a metal surface.</span></p>\n<p style=\"text-align: center;\"><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The graph shows the variation of the current<em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi></math></em> in the ammeter with the potential <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math></em> of the cathode.</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">does not support the wave nature of light.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">does support the photon nature of light.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate, in eV, the work function of the metal surface.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The intensity of the light incident on the surface is reduced by half without changing the wavelength. Draw, on the graph, the variation of the current <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi></math></em> with potential <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math></em> after this change.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«low intensity light would» transfer energy to the electron at a low rate/slowly ✔<br/>time would be required for the electron «to absorb the required energy» to escape/be emitted ✔<br/></span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: OWTTE</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">«in the photon theory of light» the electron interacts with a single photon ✔<br/>and absorbs all the energy <em><strong>OR</strong> </em>and can leave the metal immediately ✔<br/></span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Reference to photon-electron collision scores MP1</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ϕ</mi><mo>=</mo><mfrac><mrow><mi>h</mi><mi>c</mi></mrow><mi>λ</mi></mfrac><mo>-</mo><msub><mi>E</mi><mi mathvariant=\"normal\">K</mi></msub></math> <span style=\"background-color: #ffffff;\">✔</span></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>E</mi><mi mathvariant=\"normal\">K</mi></msub><mo>=</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>«</mo><mi>eV</mi><mo>»</mo></math><span style=\"background-color: #ffffff;\"> ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ϕ</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup></mrow><mrow><mn>480</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>9</mn></mrow></msup></mrow></mfrac><mo>-</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>=</mo><mo>»</mo><mo> </mo><mn>1</mn><mo>.</mo><mn>1</mn><mo> </mo><mo>«</mo><mi>eV</mi><mo>»</mo></math><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span></span></p>\n<p><span style=\"font-size: 14px;\"><em><span style=\"background-color: #ffffff;\"><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">NOTE: Allow reading from the graph of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>E</mi><mi>k</mi></msub><mo>=</mo><mn mathvariant=\"italic\">1</mn><mo mathvariant=\"italic\">.4</mo></math>leading to an answer of 1.2 «eV».</span></span></em></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">similar curve lower than original ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\">with same horizontal intercept ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"246\" src=\"data:image/png;base64,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\" width=\"401\"/></span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "19N.2.HL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Show that the pressure at B is about 130 kPa.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    Calculate the ratio\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mfrac>\n      <msub>\n       <mi>\n        V\n       </mi>\n       <mi mathvariant=\"normal\">\n        A\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        V\n       </mi>\n       <mi mathvariant=\"normal\">\n        C\n       </mi>\n      </msub>\n     </mfrac>\n    </math>\n    .\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    determine the thermal energy removed from the system.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    explain why the entropy of the gas decreases.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b(iii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <span style=\"background-color:#ffffff;\">\n    state and explain whether the second law of thermodynamics is violated.\n   </span>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a(i))\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     P\n    </mi>\n    <mi mathvariant=\"normal\">\n     B\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      250\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       5\n      </mn>\n      <mstyle displaystyle=\"true\">\n       <mfrac>\n        <mn>\n         5\n        </mn>\n        <mn>\n         3\n        </mn>\n       </mfrac>\n      </mstyle>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi>\n    from\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     P\n    </mi>\n    <mi mathvariant=\"normal\">\n     B\n    </mi>\n   </msub>\n   <msup>\n    <mfenced>\n     <mrow>\n      <mn>\n       1\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       5\n      </mn>\n      <mo>\n      </mo>\n      <msub>\n       <mi>\n        V\n       </mi>\n       <mi mathvariant=\"normal\">\n        A\n       </mi>\n      </msub>\n     </mrow>\n    </mfenced>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    250\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      A\n     </mi>\n    </msub>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    »\n   </mo>\n  </math>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n  = 127 kPa\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a(ii))\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    «\n   </mo>\n   <mn>\n    127\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     A\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    250\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    »\n   </mo>\n  </math>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   1.31 ✔\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(i))\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  work done\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    W\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    250\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    375\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    J\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n  change in internal energy\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    U\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    300\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    31\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mfenced>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      150\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mn>\n    561\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    J\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n    <br/>\n   </strong>\n  </em>\n  <em>\n   <strong>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mo>\n      ∆\n     </mo>\n     <mi>\n      U\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mfrac>\n      <mn>\n       3\n      </mn>\n      <mn>\n       2\n      </mn>\n     </mfrac>\n     <mi>\n      P\n     </mi>\n     <mo>\n      ∆\n     </mo>\n     <mi>\n      V\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mfrac>\n      <mn>\n       3\n      </mn>\n      <mn>\n       2\n      </mn>\n     </mfrac>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      375\n     </mn>\n     <mo>\n      =\n     </mo>\n     <mo>\n      «\n     </mo>\n     <mo>\n      -\n     </mo>\n     <mo>\n      »\n     </mo>\n     <mn>\n      563\n     </mn>\n     <mo>\n     </mo>\n     <mo>\n      «\n     </mo>\n     <mi mathvariant=\"normal\">\n      J\n     </mi>\n     <mo>\n      »\n     </mo>\n    </math>\n   </strong>\n  </em>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n  thermal energy removed\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    375\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mn>\n    561\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    936\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    J\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n    <br/>\n   </strong>\n  </em>\n  <em>\n   <strong>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mo>\n      ∆\n     </mo>\n     <mi>\n      Q\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mn>\n      375\n     </mn>\n     <mo>\n      +\n     </mo>\n     <mn>\n      563\n     </mn>\n     <mo>\n      =\n     </mo>\n     <mn>\n      938\n     </mn>\n     <mo>\n     </mo>\n     <mo>\n      «\n     </mo>\n     <mi mathvariant=\"normal\">\n      J\n     </mi>\n     <mo>\n      »\n     </mo>\n    </math>\n   </strong>\n  </em>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi>\n    n\n   </mi>\n   <mi>\n    C\n   </mi>\n   <mi>\n    p\n   </mi>\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    »\n   </mo>\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    n\n   </mi>\n   <mi>\n    R\n   </mi>\n   <mi>\n    T\n   </mi>\n  </math>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n  thermal energy removed\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    300\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    31\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    150\n   </mn>\n  </math>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     =\n    </mo>\n    <mn>\n     935\n    </mn>\n    <mo>\n    </mo>\n    <mo>\n     «\n    </mo>\n    <mi mathvariant=\"normal\">\n     J\n    </mi>\n    <mo>\n     »\n    </mo>\n   </math>\n  </span>\n  <span style=\"background-color:#ffffff;\">\n   ✔\n  </span>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(ii))\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   «from b(i)»\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     ∆\n    </mo>\n    <mi>\n     Q\n    </mi>\n   </math>\n   is negative\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    ✔\n   </span>\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>\n     ∆\n    </mo>\n    <mi>\n     S\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mfrac>\n     <mrow>\n      <mo>\n       ∆\n      </mo>\n      <mi>\n       Q\n      </mi>\n     </mrow>\n     <mi>\n      T\n     </mi>\n    </mfrac>\n   </math>\n   <em>\n    <strong>\n     AND\n     <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mo>\n       ∆\n      </mo>\n      <mi>\n       S\n      </mi>\n     </math>\n    </strong>\n   </em>\n   is negative\n   <span style=\"display:inline !important;float:none;background-color:#ffffff;color:#000000;font-family:Verdana , Arial , Helvetica , sans-serif;font-size:14px;font-style:normal;font-variant:normal;font-weight:400;letter-spacing:normal;text-align:left;text-decoration:none;text-indent:0px;white-space:normal;\">\n    ✔\n   </span>\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   ALTERNATIVE 2\n  </strong>\n </p>\n <p>\n  <em>\n   T\n  </em>\n  and/or\n  <em>\n   V\n  </em>\n  decreases ✔\n </p>\n <p>\n  less disorder/more order «so\n  <em>\n   S\n  </em>\n  decreases» ✔\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   ALTERNATIVE 3\n  </strong>\n </p>\n <p>\n  <em>\n   T\n  </em>\n  decreases ✔\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∆\n   </mo>\n   <mi>\n    S\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    K\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mfenced>\n    <mfrac>\n     <mrow>\n      <mi>\n       T\n      </mi>\n      <mn>\n       2\n      </mn>\n     </mrow>\n     <mrow>\n      <mi>\n       T\n      </mi>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </mfrac>\n   </mfenced>\n   <mo>\n    &lt;\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✔\n </p>\n <p>\n  <em>\n  </em>\n </p>\n <p>\n  <em>\n   NOTE: Answer given, look for a valid reason that S decreases.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b(iii))\n </div><div class=\"card-body\">\n <p>\n  <span style=\"background-color:#ffffff;\">\n   not violated ✔\n  </span>\n </p>\n <p>\n  <span style=\"background-color:#ffffff;\">\n   the entropy of the surroundings must have increased\n   <br/>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <br/>\n   the overall entropy of the system and the surroundings is the same or increased ✔\n  </span>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The graph shows the variation with time<em> t</em> of the horizontal force <em>F</em> exerted on a tennis ball by a racket.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"356\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"457\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">The tennis ball was stationary at the instant when it was hit. The mass of the tennis ball is 5.8 × 10<sup>–2</sup> kg. The area under the curve is 0.84 N s.</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the speed of the ball as it leaves the racket.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Show that the average force exerted on the ball by the racket is about 50 N.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Determine, with reference to the work done by the average force, the horizontal distance travelled by the ball while it was in contact with the racket.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Draw a graph to show the variation with<em> t</em> of the horizontal speed <em>v</em> of the ball while it was in contact with the racket. Numbers are <strong>not</strong> required on the axes.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">links 0.84 to Δ<em>p</em> ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>84</mn></mrow><mrow><mn>5</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup></mrow></mfrac><mo>=</mo></math>» 14.5 «m s<sup>–1</sup>»✔<br/></span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Award <strong>[2]</strong> for bald correct answer</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of Δ<em>t = </em><span style=\"background-color: #ffffff;\">«</span>(28 – 12) × 10<sup>–3 </sup>=<span style=\"background-color: #ffffff;\">»</span> 16 × 10<sup>–3</sup> <span style=\"background-color: #ffffff;\">«</span>s<span style=\"background-color: #ffffff;\">» <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mover><mi>F</mi><mo>¯</mo></mover></math> =«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>∆</mo><mi>p</mi></mrow><mrow><mo>∆</mo><mi>t</mi></mrow></mfrac><mo>=</mo></math>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>84</mn></mrow><mrow><mn>16</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac></math> <em><strong>OR</strong></em>  53 «N» ✔</span></span></p>\n<p><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">NOTE: Accept a time interval from 14 to 16 </span></span></em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">ms</span></span><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"> <br/>Allow ECF from incorrect time interval</span></span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>E</em><sub>k </sub><em>= <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> × </em>5.8 × 10<sup>–2 </sup>× 14.5<sup>2 </sup>✔</p>\n<p><em style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">E</em><sub style=\"color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 11.6px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">k</sub> = <em>W <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span></em></p>\n<p><span style=\"font-size: 14px;\"><em><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\">s = </span></em><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>W</mi><mi>F</mi></mfrac><mo>=</mo><mfrac><mstyle displaystyle=\"true\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>5</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>×</mo><mn>14</mn><mo>.</mo><msup><mn>5</mn><mn>2</mn></msup></mstyle><mn>53</mn></mfrac><mo>=</mo></math>» 0.12 « m » ✔</span></span></span></p>\n<p> </p>\n<p><em>Allow ECF from (a) and (b)</em></p>\n<p><em>Allow ECF from MP1</em></p>\n<p><em>Award <strong>[2]</strong> max for a calculation without reference to work done, eg: average velocity × time</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img height=\"241\" src=\"data:image/png;base64,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\" width=\"370\"/></p>\n<p><span style=\"background-color: #ffffff;\">graph must show increasing speed from an initial of zero all the time ✔<br/>overall correct curvature ✔</span></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The solid line in the graph shows the variation with distance <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi></math></em> of the displacement <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>y</mi></math></em> of a travelling wave at <em>t</em> = 0. The dotted line shows the wave 0.20 ms later. The period of the wave is longer than 0.20 ms.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"296\" src=\"data:image/png;base64,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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"612\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">One end of a string is attached to an oscillator and the other is fixed to a wall. When the frequency of the oscillator is 360 Hz the standing wave shown is formed on the string.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img height=\"172\" 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\" style=\"margin-right: auto; margin-left: auto; display: block;\" width=\"521\"/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">Point X (not shown) is a point on the string at a distance of 10 cm from the oscillator.</span></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate, in m s<sup>–1</sup>, the speed for this wave.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate, in Hz, the frequency for this wave.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The graph also shows the displacement of two particles, P and Q, in the medium at <em>t</em> = 0. State and explain which particle has the larger magnitude of acceleration at <em>t</em> = 0.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">State the number of all other points on the string that have the same amplitude and phase as X.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">The frequency of the oscillator is reduced to 120 Hz. On the diagram, draw the standing wave that will be formed on the string.</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>v = </em><span style=\"background-color: #ffffff;\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>05</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>20</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo></math>» 250 «m s<sup>–1</sup>»✔</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>λ </em>= 0.30 «m» ✔<br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi></math> = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>250</mn><mrow><mn>0</mn><mo>.</mo><mn>30</mn></mrow></mfrac><mo>=</mo></math>» 830 «Hz» ✔</span></p>\n<p><em>NOTE: </em><em><span style=\"background-color: #ffffff;\">Allow ECF from (a)(i)<br/>Allow ECF from wrong wavelength for MP2</span></em></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Q ✔<br/>acceleration is proportional to displacement «and Q has larger displacement» ✔</span></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">3 «points» ✔</span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">first harmonic mode drawn ✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><img src=\"data:image/png;base64,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\"/></span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Allow if only one curve drawn, either solid or dashed.</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.4",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A proton is moving in a region of uniform magnetic field. The magnetic field is directed into the plane of the paper. The arrow shows the velocity of the proton at one instant and the dotted circle gives the path followed by the proton.</span></p>\n<p><span style=\"background-color: #ffffff;\"><img 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\"/></span></p>\n</div><div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">The speed of the proton is 2.0 × 10<sup>6</sup> m s<sup>–1</sup> and the magnetic field strength <em>B</em> is 0.35 T.</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the path of the proton is a circle.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Show that the radius of the path is about 6 cm.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the time for <strong>one</strong> complete revolution.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Explain why the kinetic energy of the proton is constant.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">magnetic force is to the left «at the instant shown»<br/><em><strong>OR</strong></em><br/>explains a rule to determine the direction of the magnetic force ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">force is perpendicular to velocity/«direction of» motion<br/><em><strong>OR</strong></em><br/>force is constant in magnitude ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">force is centripetal/towards the centre ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Accept reference to acceleration instead of force</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>q</mi><mi>v</mi><mi>B</mi><mo>=</mo><mfrac><mrow><mi>m</mi><msup><mi>v</mi><mn>2</mn></msup></mrow><mi>R</mi></mfrac></math><span style=\"background-color: #ffffff;\">✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>27</mn></mrow></msup><mo>×</mo><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow><mrow><mn>1</mn><mo>.</mo><mn>6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>35</mn></mrow></mfrac></math> <em><strong>OR</strong></em> 0.060 « m »</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Award MP2 for full replacement or correct answer to at least 2 significant figures</span></em></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi><mo>=</mo><mfrac><mrow><mn>2</mn><mi mathvariant=\"normal\">π</mi><mi>R</mi></mrow><mi>v</mi></mfrac></math><span style=\"background-color: #ffffff;\">✔</span></p>\n<p><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>2</mn><mi mathvariant=\"normal\">π</mi><mo>×</mo><mn>0</mn><mo>.</mo><mn>06</mn></mrow><mrow><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></mfrac><mo>=</mo><mn>1</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>7</mn></mrow></msup></math> « s » ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Award <strong>[2]</strong> for bald correct answer</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 1</strong></em><br/>work done by force is change in kinetic energy ✔<br/>work done is zero/force perpendicular to velocity ✔ <br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>NOTE: Award <strong>[2]</strong> for a reference to work done is zero hence E<sub>k</sub> remains constant</em><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em><strong>ALTERNATIVE 2</strong></em><br/>proton moves at constant speed ✔<br/>kinetic energy depends on speed ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>NOTE: Accept mention of speed or velocity indistinctly in MP2</em><br/></span></p>\n<p> </p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">An electron is placed at a distance of 0.40 m from a fixed point charge of –6.0 mC.</span></p>\n<p style=\"text-align: center;\"> </p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Show that the electric field strength due to the point charge at the position of the electron is 3.4 × 10<sup>8</sup> N C<sup>–1</sup>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the magnitude of the initial acceleration of the electron.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Describe the subsequent motion of the electron.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mfrac><mrow><mi>k</mi><mo>×</mo><mi>q</mi></mrow><msup><mi>r</mi><mn>2</mn></msup></mfrac></math> <span style=\"background-color: #ffffff;\">✔</span></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>99</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup><mo>×</mo><mn>6</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><msup><mn>4</mn><mn>2</mn></msup></mrow></mfrac></math>  <em><strong>OR  <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mn>3</mn><mo>.</mo><mn>37</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">N</mi><mo> </mo><msup><mi mathvariant=\"normal\">C</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> </strong></em><strong><span style=\"background-color: #ffffff;\">✔</span></strong></p>\n<p><em>NOTE: <span style=\"background-color: #ffffff;\">Ignore any negative sign.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mi>q</mi><mo>×</mo><mi>E</mi><mo> </mo></math><em><strong> OR  <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup><mo>=</mo><mn>5</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">N</mi><mo>»</mo></math> </strong></em><strong><span style=\"background-color: #ffffff;\">✔</span></strong></p>\n<p><strong><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>a</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>5</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup></mrow><mrow><mn>9</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>31</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>5</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>19</mn></msup><mo>«</mo><mo> </mo><mi mathvariant=\"normal\">m</mi><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>»</mo></math><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span></span></strong></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Ignore any negative sign. <br/>Award <strong>[1]</strong> for a calculation leading to </span></em><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>a</mi><mo>=</mo><mo>«</mo><mo> </mo><mi mathvariant=\"normal\">m</mi><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>»</mo></math></span><em><span style=\"background-color: #ffffff;\"><br/>Award <strong>[2]</strong> for bald correct answer</span></em></p>\n<p> </p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">the electron moves away from the point charge/to the right «along the line joining them» ✔<br/>decreasing acceleration ✔<br/>increasing speed ✔</span></p>\n<p><em><span style=\"background-color: #ffffff;\">NOTE: Allow ECF from MP1 if a candidate mistakenly evaluates the force as attractive so concludes that the acceleration will increase</span></em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "19N.2.SL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p><span style=\"background-color: #ffffff;\">A stationary nucleus of uranium-238 undergoes alpha decay to form thorium-234.</span></p>\n<p><span style=\"background-color: #ffffff;\">The following data are available.</span></p>\n<p style=\"text-align: left; padding-left: 30px;\"><span style=\"background-color: #ffffff;\">Energy released in decay                         4.27 MeV<br/>Binding energy per nucleon for helium      7.07 MeV<br/>Binding energy per nucleon for thorium    7.60 MeV</span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Radioactive decay is said to be “random” and “spontaneous”. Outline what is meant by each of these terms.</span></p>\n<p><span style=\"background-color: #ffffff;\">Random: </span></p>\n<p><span style=\"background-color: #ffffff;\">Spontaneous:</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the binding energy per nucleon for uranium-238.</span></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span style=\"background-color: #ffffff;\">Calculate the ratio <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>kinetic</mi><mo> </mo><mi>energy</mi><mo> </mo><mi>of</mi><mo> </mo><mi>alpha</mi><mo> </mo><mi>particle</mi></mrow><mrow><mi>kinetic</mi><mo> </mo><mi>energy</mi><mo> </mo><mi>of</mi><mo> </mo><mi>thorium</mi><mo> </mo><mi>nucleus</mi></mrow></mfrac></math>.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\"><em>random:</em><br/>it cannot be predicted which nucleus will decay<br/><em><strong>OR</strong></em><br/>it cannot be predicted when a nucleus will decay ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><em>NOTE: OWTTE</em><br/></span></p>\n<p> </p>\n<p><span style=\"background-color: #ffffff;\"><em>spontaneous:</em><br/>the decay cannot be influenced/modified in any way ✔<br/></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">NOTE: </span><span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">OWTTE</span><br/></span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">234 × 7.6  <em><strong>OR </strong></em> 4 × 7.07 ✔</span></p>\n<p><em>BE</em><sub>U </sub>=<span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\">« 234<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> ×</span> 7.6<span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\"> + 4 × 7.07 – 4.27 =</span>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1802</mn></math> « MeV » ✔</span></span></p>\n<p><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>B</mi><msub><mi>E</mi><mi mathvariant=\"normal\">U</mi></msub></mrow><mi>A</mi></mfrac><mo>=</mo><mo>«</mo><mfrac><mn>1802</mn><mn>238</mn></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>7</mn><mo>.</mo><mn>57</mn></math> <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">« MeV » ✔</span></span></span></p>\n<p><span style=\"font-size: 14px;\"><em><span style=\"background-color: #ffffff;\"><span style=\"background-color: #ffffff;\"><span style=\"text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;\"> NOTE: Allow ECF from MP2<br/>Award <strong>[3]</strong> for bald correct answer<br/>Allow conversion to J, final answer is 1.2 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">×</span> 10<sup>–12</sup></span></span></span></em></span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span style=\"background-color: #ffffff;\">states or applies conservation of momentum ✔</span></p>\n<p><span style=\"background-color: #ffffff;\">ratio is «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msub><mi>E</mi><mrow><mi mathvariant=\"normal\">k</mi><mi>α</mi></mrow></msub><msub><mi>E</mi><mi>kTh</mi></msub></mfrac><mo>=</mo><mfrac><mstyle displaystyle=\"true\"><mfrac><msup><mi>p</mi><mn>2</mn></msup><mrow><mn>2</mn><msub><mi>m</mi><mi>α</mi></msub></mrow></mfrac></mstyle><mstyle displaystyle=\"true\"><mfrac><msup><mi>p</mi><mn>2</mn></msup><mrow><mn>2</mn><msub><mi>m</mi><mi>Th</mi></msub></mrow></mfrac></mstyle></mfrac><mo>=</mo><mfrac><mn>234</mn><mn>4</mn></mfrac></math>» 58.5 <span style=\"display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;\">✔</span><br/></span></p>\n<p><em> NOTE: Award<strong> [2]</strong> for bald correct answer</em></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p><span class=\"fontstyle0\">A spherical soap bubble is made of a thin film of soapy water. The bubble has an internal air pressure <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>P</mi><mi mathvariant=\"normal\">i</mi></msub></math></span><em><span class=\"fontstyle0\"> </span></em><span class=\"fontstyle0\">and is formed in air of constant pressure </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>P</mi><mi mathvariant=\"normal\">o</mi></msub></math><span class=\"fontstyle0\">. The theoretical prediction for the variation of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfenced><mrow><msub><mi>P</mi><mtext>i</mtext></msub><mo>-</mo><msub><mi>P</mi><mtext>o</mtext></msub></mrow></mfenced></math></span><span class=\"fontstyle0\"> is given by the equation</span></p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>(</mo><msub><mi>P</mi><mi mathvariant=\"normal\">i</mi></msub><mo>-</mo><msub><mi>P</mi><mi mathvariant=\"normal\">o</mi></msub><mo>)</mo><mo>=</mo><mfrac><mrow><mn>4</mn><mi mathvariant=\"normal\">g</mi></mrow><mi>R</mi></mfrac></math></p>\n<p style=\"text-align: left;\"><span class=\"fontstyle0\">where </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math> </span><span class=\"fontstyle0\">is a constant for the thin film and </span><span class=\"fontstyle3\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi></math> </span><span class=\"fontstyle0\">is the radius of the bubble.</span></p>\n<p style=\"text-align: left;\">Data for <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfenced><mrow><msub><mi>P</mi><mtext>i</mtext></msub><mo>-</mo><msub><mi>P</mi><mtext>o</mtext></msub></mrow></mfenced></math><span class=\"fontstyle0\"> and <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi></math>  were collected under controlled conditions and plotted as a graph showing the variation of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfenced><mrow><msub><mi>P</mi><mtext>i</mtext></msub><mo>-</mo><msub><mi>P</mi><mtext>o</mtext></msub></mrow></mfenced></math> with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mi>R</mi></mfrac></math>.<br/> </span></p>\n<p style=\"text-align: left;\"><span class=\"fontstyle0\"><img height=\"662\" src=\"data:image/png;base64,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\" width=\"788\"/></span></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Suggest whether the data are consistent with the theoretical prediction.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Show that the value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math></span><span class=\"fontstyle2\">  </span><span class=\"fontstyle0\">is about 0.03.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">Identify the fundamental units of </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">In order to find the uncertainty for </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math></span><span class=\"fontstyle0\">, a maximum gradient line would be drawn. On the graph, sketch the maximum gradient line for the data.</span></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">The percentage uncertainty for <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math></span><span class=\"fontstyle2\"> </span><span class=\"fontstyle0\">is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>15</mn><mo>%</mo></math>. State </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math></span><span class=\"fontstyle0\">, with its absolute uncertainty.</span></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p><span class=\"fontstyle0\">The expected value of </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math> </span><span class=\"fontstyle0\">is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>027</mn></math>. Comment on your result</span>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(v).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«theory suggests» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>P</mi><mi mathvariant=\"normal\">i</mi></msub><mo>-</mo><msub><mi>P</mi><mi mathvariant=\"normal\">o</mi></msub></math> </span><span class=\"fontstyle0\">is proportional to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mi>R</mi></mfrac></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle3\"><br/></span><span class=\"fontstyle0\">graph/line of best fit is straight/linear «so yes»<br/></span><span class=\"fontstyle4\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">graph/line of best fit passes through the origin «so yes» </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle2\">MP1: Accept ‘linear’<br/></span></em></p>\n<p><em><span class=\"fontstyle2\">MP2 do not award if there is any contradiction<br/>eg: graph not proportional, does not pass through origin.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">gradient <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo></math> «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mi>γ</mi></math>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>0</mn><mo>.</mo><mn>10</mn></math><br/></span><span class=\"fontstyle2\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">use of equation with coordinates of a point </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle3\"><br/></span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>025</mn></math> <span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle5\">MP1 allow gradients in range <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>098</mn></math> to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>102</mn></math><br/></span></em></p>\n<p><em><span class=\"fontstyle6\">MP2 allow a range <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>024</mn></math> to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>026</mn></math> for </span><span class=\"fontstyle4\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>γ</mi></math></span></em></p>\n<p> </p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>kg</mi><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>2</mn></mrow></msup></math> <span class=\"fontstyle2\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle3\">Accept <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>kg</mi><msup><mi mathvariant=\"normal\">s</mi><mn>2</mn></msup></mfrac></math></span></em></p>\n<p><span class=\"fontstyle3\"> </span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">straight line, gradient <strong>g</strong></span><span class=\"fontstyle2\"><strong>reater</strong> </span><span class=\"fontstyle0\">than line of best fit, and within the error bars </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle3\"><img src=\"data:image/png;base64,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\"/></span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>15</mn><mo>%</mo></math> of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>025</mn></math>» = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>00375</mn></math><br/></span><span class=\"fontstyle2\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>15</mn><mo>%</mo></math> of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>030</mn></math>» = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>0045</mn></math> </span><span class=\"fontstyle3\">✓<br/></span></p>\n<p><span class=\"fontstyle0\">rounds uncertainty to 1sf<br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>±</mo><mn>0</mn><mo>.</mo><mn>004</mn></math><br/></span><span class=\"fontstyle2\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>±</mo><mn>0</mn><mo>.</mo><mn>005</mn></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle4\">Allow ECF from (b)(i)<br/>Award </span><strong><span class=\"fontstyle2\">[2] </span></strong><span class=\"fontstyle4\">marks for a bald correct answer</span></em></p>\n<div class=\"question_part_label\">b(iv).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">Experimental value matches this/correct, as expected value within the range </span><span class=\"fontstyle2\">✓<br/></span><span class=\"fontstyle3\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">experimental value does not match/incorrect, as it is not within range </span><span class=\"fontstyle2\">✓</span></p>\n<div class=\"question_part_label\">b(v).</div>\n</div>",
+    "Examiners report": "",
+    "topics": [
+      "tools"
+    ],
+    "subtopics": [
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "20N.3.SL.TZ0.2",
+    "Question": "<div class=\"specification\">\n<p>A student studies the relationship between the centripetal force applied to an object undergoing circular motion and its period <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math>.</p>\n<p>The object (mass <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi></math>) is attached by a light inextensible string, through a tube, to a weight <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math> which hangs vertically. The string is free to move through the tube. A student swings the mass in a horizontal, circular path, adjusting the period <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> of the motion until the radius <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>r</mi></math> is constant. The radius of the circle and the mass of the object are measured and remain constant for the entire experiment.</p>\n<p><img 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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p style=\"text-align: center;\">© International Baccalaureate Organization 2020.</p>\n<p>The student collects the measurements of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> five times, for weight <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math>. The weight is then doubled (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mi>W</mi></math>) and the data collection repeated. Then it is repeated with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>3</mn><mi>W</mi></math> and <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mi>W</mi></math>. The results are expected to support the relationship</p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi><mo>=</mo><mfrac><mrow><mn>4</mn><msup><mi mathvariant=\"normal\">π</mi><mn>2</mn></msup><mi>m</mi><mi>r</mi></mrow><msup><mi>T</mi><mn>2</mn></msup></mfrac><mo>.</mo></math></p>\n</div><div class=\"specification\">\n<p>In reality, there is friction in the system, so in this case <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math> is less than the total centripetal force in the system. A suitable graph is plotted to determine the value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> experimentally. The value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> was also calculated directly from the measured values of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi></math> and <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>r</mi></math>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State why the experiment is repeated with different values of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict from the equation whether the value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> found experimentally will be larger, the same or smaller than the value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> calculated directly.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The measurements of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> were collected five times. Explain how repeated measurements of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> reduced the random error in the final experimental value of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why repeated measurements of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> would not reduce any systematic error in <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">In order to draw a graph « of </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math> </span><span class=\"fontstyle0\">versus <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><msup><mi mathvariant=\"normal\">T</mi><mn>2</mn></msup></mfrac></math> »<br/></span><span class=\"fontstyle3\"><em><strong>OR</strong></em><br/></span></p>\n<p><span class=\"fontstyle0\">to confirm proportionality between «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math></span><span class=\"fontstyle2\"> </span><span class=\"fontstyle0\">and </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>T</mi><mrow><mo>-</mo><mn>2</mn></mrow></msup></math> <span class=\"fontstyle2\">»<br/></span></p>\n<p><span class=\"fontstyle3\"><em><strong>OR</strong></em><br/></span></p>\n<p><span class=\"fontstyle0\">to confirm relationship between «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math></span><span class=\"fontstyle2\"> </span><span class=\"fontstyle0\">and </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> »<br/></span></p>\n<p><em><span class=\"fontstyle3\"><strong>OR</strong></span></em><span class=\"fontstyle3\"><br/></span></p>\n<p><span class=\"fontstyle0\">because </span><span class=\"fontstyle2\">W </span><span class=\"fontstyle0\">is the independent variable in the experiment </span><span class=\"fontstyle4\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle2\">OWTTE</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><strong>ALTERNATIVE 1</strong></span></p>\n<p><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi><mo>+</mo><mpadded lspace=\"-1px\"><mi>friction</mi></mpadded><mo>=</mo><mfrac><mrow><mn>4</mn><msup><mi mathvariant=\"normal\">π</mi><mn>2</mn></msup><mi>m</mi><mi>r</mi></mrow><msup><mi>T</mi><mn>2</mn></msup></mfrac></math></span></p>\n<p><span class=\"fontstyle3\"><em><strong>OR</strong></em></span></p>\n<p><span class=\"fontstyle2\">centripetal force is larger «than <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math>» / <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>W</mi></math> is smaller «than centripetal» </span><span class=\"fontstyle4\">✓</span></p>\n<p><span class=\"fontstyle2\">«so» experimental </span><span class=\"fontstyle5\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> </span><span class=\"fontstyle2\">is smaller «than calculated value» </span><span class=\"fontstyle4\">✓</span></p>\n<p> </p>\n<p><strong><span class=\"fontstyle0\">ALTERNATIVE 2 </span></strong><span class=\"fontstyle2\"><strong>(refers to graph)</strong><br/></span></p>\n<p><span class=\"fontstyle2\">reference to «friction force is» a systematic error «and does not affect gradient» </span><span class=\"fontstyle4\">✓</span></p>\n<p><span class=\"fontstyle2\">«so» </span><span class=\"fontstyle5\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>r</mi></math> </span><span class=\"fontstyle2\">is the same </span><span class=\"fontstyle4\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle5\">MP2 awarded only with correct justification.<br/>Candidates can gain zero, MP1 alone or full marks.</span></em></p>\n<p><em><span class=\"fontstyle5\">OWTTE</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">mention of mean/average value «of </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math></span><span class=\"fontstyle0\">» </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle0\">this reduces uncertainty in </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> </span><span class=\"fontstyle0\">/ result<br/></span><span class=\"fontstyle4\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">more accurate/precise </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle2\">Reference to “random errors average out” scores MP1</span></em></p>\n<p><em><span class=\"fontstyle2\">Accept “closer to true value”, “more reliable value” OWTTE for MP2</span></em></p>\n<p> </p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">systematic errors «usually» constant/always present/ not influenced by repetition </span><span class=\"fontstyle2\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle3\">OWTTE</span></em></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates scored. Different wording was used to express the aim of confirming the relationship.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most successful candidates chose to consider a single point then concluding that the calculated <em>mr</em> would be smaller than the real value as <em>W</em> &lt; centripetal force, or even went into analysing the dependence of the frictional force with <em>W</em>. Many were able to deduce this. Some candidates thought that a graph would still have the same gradient (if friction was constant) and mentioned systematic error, so <em>mr</em> was not changed which was also accepted.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates stated that the mean of 5 values of <em>T</em> was used to obtain an answer closer to the true value if there were no systematic errors. Some just repeated the question.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Usually very well answered acknowledging that systematic errors are constant and present throughout all  measurements.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "inquiry"
+    ],
+    "subtopics": [
+      "i-1-2-designing",
+      "i-2-3-interpreting-results",
+      "inquiry-1-exploring-and-designing",
+      "inquiry-2-collecting-and-processing-data"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.10",
+    "Question": "<div class=\"specification\">\n<p>The de Broglie wavelength <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi></math> of a particle accelerated close to the speed of light is approximately</p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>≈</mo><mfrac><mrow><mi>h</mi><mi>c</mi></mrow><mi>E</mi></mfrac></math></p>\n<p>where <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi></math> is the energy of the particle.<br/>A beam of electrons of energy <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup><mo> </mo><mi>eV</mi></math> is produced in an accelerator.</p>\n</div><div class=\"specification\">\n<p>The electron beam is used to study the nuclear radius of carbon-12. The beam is directed from the left at a thin sample of carbon-12. A detector is placed at an angle <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>θ</mi></math> relative to the direction of the incident beam.</p>\n<p><img height=\"137\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"378\"/></p>\n<p>The graph shows the variation of the intensity of electrons with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>θ</mi></math>. There is a minimum of intensity for <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>θ</mi><mo>=</mo><msub><mi>θ</mi><mn>0</mn></msub></math>.</p>\n<p><img height=\"235\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"365\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the wavelength of an electron in the beam is about <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>3</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>15</mn></mrow></msup><mo> </mo><mi mathvariant=\"normal\">m</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss how the results of the experiment provide evidence for matter waves.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The accepted value of the diameter of the carbon-12 nucleus is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mo>.</mo><mn>94</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>15</mn></mrow></msup><mo> </mo><mi mathvariant=\"normal\">m</mi></math>. Estimate the angle <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>θ</mi><mn>0</mn></msub></math> at which the minimum of the intensity is formed.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why electrons with energy of approximately <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mn>10</mn><mn>7</mn></msup><mo> </mo><mi>eV</mi></math> would be unsuitable for the investigation of nuclear radii.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Experiments with many nuclides suggest that the radius of a nucleus is proportional to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>A</mi><mstyle displaystyle=\"false\"><mfrac><mn>1</mn><mn>3</mn></mfrac></mstyle></msup></math>, where <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi></math> is the number of nucleons in the nucleus. Show that the density of a nucleus remains approximately the same for all nuclei.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>63</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>34</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup></mrow><mrow><mn>1</mn><mo>.</mo><mn>60</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup><mo>×</mo><mn>4</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup></mrow></mfrac></math> <em><strong>OR <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>2</mn><mo>.</mo><mn>96</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>15</mn></mrow></msup><mo>«</mo><mi mathvariant=\"normal\">m</mi><mo>»</mo></math></strong></em> ✓ </span></p>\n<p><em><span class=\"fontstyle2\"><br/>Answer to at least <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn mathvariant=\"italic\">2</mn></math> s.f. (i.e. 3.0)</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«</span><span class=\"fontstyle1\">the shape of the graph suggests that</span><span class=\"fontstyle0\">» </span><span class=\"fontstyle1\">electrons undergo diffraction </span><span class=\"fontstyle0\">«</span><span class=\"fontstyle1\">with carbon nuclei</span><span class=\"fontstyle0\">» </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle1\">only waves diffract </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>sin</mi><msub><mi>θ</mi><mn>0</mn></msub><mo>=</mo><mfrac><mrow><mn>2</mn><mo>.</mo><mn>96</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>15</mn></mrow></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>94</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>15</mn></mrow></msup></mrow></mfrac><mo>«</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>599</mn><mo>»</mo></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>37</mn><mo> </mo><mo>«</mo><mpadded lspace=\"-1px\"><mi>degrees</mi></mpadded><mo>»</mo></math> <em><strong>OR </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>64</mn><mo>/</mo><mn>0</mn><mo>.</mo><mn>65</mn><mo> </mo><mo>«</mo><mi>rad</mi><mo>»</mo></math> </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">the de Broglie wavelength of electrons is </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">much</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">longer than the size of a nucleus </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle3\"><br/></span><span class=\"fontstyle0\">hence electrons would not undergo diffraction<br/></span><span class=\"fontstyle4\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">no diffraction pattern would be observed </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">volume of a nucleus proportional to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mfenced><msup><mi>A</mi><mstyle displaystyle=\"false\"><mfrac><mn>1</mn><mn>3</mn></mfrac></mstyle></msup></mfenced><mn>3</mn></msup><mo>=</mo><mi>A</mi></math> </span><em><strong><span class=\"fontstyle2\">AND </span></strong></em><span class=\"fontstyle0\">mass proportional to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle0\">the ratio <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>mass</mi><mpadded lspace=\"+1px\"><mi>volume</mi></mpadded></mfrac></math> independent of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi></math> </span><span class=\"fontstyle4\">«</span><span class=\"fontstyle0\">hence density the same for all nuclei</span><span class=\"fontstyle4\">» </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle5\">Both needed for MP1</span></em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>An easy calculation with only one energy conversion to consider and a 'show' answer to help. </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was challenging for candidates many of whom seemed to have little idea of the experiment. Many answers discussed deflection, with the idea that forces between the electron and the nucleus causing it to deflect at a particular angle. This was often combined with the word interference to suggest evidence of matter waves. A number of answers described a demonstration the candidates remembered seeing so answers talked about fuzzy green rings.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was answered reasonably well with only the odd omission of the sine in the equation.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates generally scored poorly on this question. There was confusion between this experiment and another diffraction one, so often the new wavelength was compared to the spacing between atoms. Also, in line with answers to b(i) there were suggestions that the electrons did not have sufficient energy to reach the nucleus or would be deflected by too great an angle to be seen.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question proved challenging and it wasn't common to find answers that scored both marks. Of those that had the right approach some missed out on both marks by describing A as the mass of the nucleus rather than proportional to the mass of the nucleus.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-1-structure-of-the-atom",
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>One possible fission reaction of uranium-235 (U-235) is</p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mmultiscripts><mi mathvariant=\"normal\">U</mi><mprescripts></mprescripts><mn>92</mn><mn>235</mn></mmultiscripts><mo>+</mo><mmultiscripts><mi mathvariant=\"normal\">n</mi><mprescripts></mprescripts><mn>0</mn><mn>1</mn></mmultiscripts><mo>→</mo><mmultiscripts><mi>Xe</mi><mprescripts></mprescripts><mn>54</mn><mn>140</mn></mmultiscripts><mo>+</mo><mmultiscripts><mi>Sr</mi><mprescripts></mprescripts><mn>38</mn><mn>94</mn></mmultiscripts><mo>+</mo><mn>2</mn><mmultiscripts><mi mathvariant=\"normal\">n</mi><mprescripts></mprescripts><mn>0</mn><mn>1</mn></mmultiscripts></math></p>\n<p style=\"text-align: left;\">Mass of one atom of U-235 <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>235</mn><mo> </mo><mi mathvariant=\"normal\">u</mi></math><br/>Binding energy per nucleon for U-235 <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>7</mn><mo>.</mo><mn>59</mn><mo> </mo><mi>MeV</mi></math><br/>Binding energy per nucleon for Xe-140 <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>8</mn><mo>.</mo><mn>29</mn><mo> </mo><mi>MeV</mi></math><br/>Binding energy per nucleon for Sr-94 <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>8</mn><mo>.</mo><mn>59</mn><mo> </mo><mi>MeV</mi></math></p>\n</div><div class=\"specification\">\n<p>A nuclear power station uses U-235 as fuel. Assume that every fission reaction of U-235 gives rise to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>180</mn><mo> </mo><mi>MeV</mi></math> of energy.</p>\n</div><div class=\"specification\">\n<p>A sample of waste produced by the reactor contains <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>0</mn><mo> </mo><mi>kg</mi></math> of strontium-94 (Sr-94). Sr-94 is radioactive and undergoes beta-minus (<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi mathvariant=\"normal\">β</mi><mo>-</mo></msup></math>) decay into a daughter nuclide X. The reaction for this decay is</p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mmultiscripts><mi>Sr</mi><mprescripts></mprescripts><mn>38</mn><mn>94</mn></mmultiscripts><mo>→</mo><mi mathvariant=\"normal\">X</mi><mo>+</mo><msub><mover><mi mathvariant=\"normal\">v</mi><mo>¯</mo></mover><mi>e</mi></msub><mo>+</mo><mi>e</mi></math>.</p>\n<p> </p>\n</div><div class=\"specification\">\n<p>The graph shows the variation with time of the mass of Sr-94 remaining in the sample.</p>\n<p><img height=\"367\" src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAl4AAAGCCAYAAAAxNc1PAAAgAElEQVR4Ae2d72scSZrn9z8pQb2SQGDjZdErN8POHGq9EF6/aBrM/kItsAcMTTOw0KVVv2kOem4pMaZpw+zuyLS6j9uF3dTCHjPY7isGFnPnJaEPzCGKm2Ebt6gXxvhEQRshiud4siqkrKzMjMyqiCfzqfwWCGVlZEZ84xNPhr7KjIz4A8IHBEAABEAABEAABEBAhMAfiJSCQkAABEAABEAABEAABAjGC0EAAiAAAiAAAiAAAkIEYLyEQKMYEAABEAABEAABEIDxQgyAAAiAAAiAAAiAgBABGC8h0CgGBEAABEAABEAABGC8EAMgAAIgAAIgAAIgIEQAxksItNZi+v0+/fDDD1rlQzcIgAAIgAAI1IoAjFetmqNeYthwtVsrdBwE9RIGNSAAAiAAAiCglACMl9KGk5DNhouN14/eeQd3vSSAowwQAAEQAIGlJwDjtfRNPF8F+W4XGy42Xg+/eIi7XvNhxFkgAAIgAAIgMEUAxmsKB74YAny3iw0XG6/Xr1/jrpcBg98gAAIgAAIgsAABGK8F4C3rqeZuFxsuNl78wV2vZW1t1AsEQAAEQECSAIyXJG0lZZm7XSzXGC/c9VLSeJAJAiAAAiBQawIwXrVuHnlx8btdXLoxXryNu17y7YESQQAEQAAElosAjNdytefCtYnf7eLM4sYLd70WxosMQAAEQAAEGk4AxqvhAZCs/pMnT6LB9GZ/3HjxvmS6OQ6/QQAEQAAEQAAE7ARgvOyMGn1E0ng1GgYqDwIgAAIgAAILEoDxWhDgsp8O47XsLYz6gQAIgAAISBKA8ZKkrbAsGC+FjQbJIAACIAACtSUA41XbpqmHMBiverQDVIAACIAACCwHARiv5WhHb7WA8fKGFhmDAAiAAAg0kACMVwMbvUyVYbzK0MKxIAACIAACIJBPAMYrn0/jU2G8Gh8CAAACIAACIOCQAIyXQ5jLmBWM1zK2KuoEAiAAAiBQFQEYr6rIKykXxktJQ0EmCIAACICACgIwXiqaqTqRMF7VsUfJIAACIAACy0cAxmv52tRpjWC8nOJEZiAAAiAAAg0nAOPV8ACwVR/Gy0YI6SAAAiAAAiBQnACMV3FWjTwSxquRzY5KgwAIgAAIeCIA4+UJ7LJkC+O1LC2JeoAACIAACNSBAIxXHVqhqIbhczrY3KDd4KXljHMahF/T3uYasXHin/WdLh2HAxpZzkwmw3glieA7CIAACIAACMxPAMZrfnayZw5f0KOdDWq3rtuN11mP9lbXaKsTUH84IhqdUm9/m9qtO/So/7aUbhivUrhwMAiAAAiAAAjkEoDxysVTh8TJ3avt+/TLv/8rumE1XiM66+3TesJkjfqHdMt67mx9YbxmmWAPCIAACIAACMxLAMZrXnJS5w0C2m1t0ye9UzoPuwWM15DC7rvUXt2n3lnsweJFSAfXVmi906OzEtphvErAwqEgAAIgAAIgYCEA42UBVHny8HcU9sdW6aKQ8XpFvc5Nal/rUngRUz86oUfba9TeCWgQ223bZOP1+vVr22FIBwEQAAEQAAEQKEAAxqsApLocUsx4vaTjneuzxosm+1OMF5urvJ+f/PFP6Ne/eUzf/I/f4gcMEAOIAcQAYkAsBury99elDhgvlzQ95+XLeOXJNobs5599lndY7dLYJGr9aNUO3bIRB96yvLk0MJdlrpW3jRKMl41QjdKLGS/3jxq/OjqK7oh9++23NaKRL0XzBatVO3Tnx6TrVPB2TdSeH5jbGbk8QitvGwMYLxuhGqUXM17uB9f/8MMP9NN79+hH77yjZryX5gtWq3bolu0swFuWN5cG5rLMtfK2UYLxshGqUXox45U3ncQa3To8KTWJKj9q5M/3338f3fXqfPxxjYhkS9F8wWrVDt3Z8egjBbx9UM3PE8zz+bhO1crbxgHGy0aoRunFjBcRRROo8mz1R3TCE6gOT+i4s03t1Q/p+PS8VI2M8eKTjoMgMl/8u+4fzResVu3QLXtVgLcsby4NzGWZa+VtowTjZSNUo/Qs4zW7f3bJoPZmh44cLBnEd7zYjPEdsDp/NF+wWrVDt+wVAd6yvLk0MJdlrpW3jRKMl41Qw9Pjd7wYBc/pxWO93n/vPeKxX3X9aL5gtWqHbtmrAbxleXNpYC7LXCtvGyUYLxuhhqcnjRfj4LcbeX+dp5jQfMFq1Q7dsp0FeMvy5tLAXJa5Vt42SjBeNkINT08zXozETDHx7NmzWhLSfMFq1Q7dspcCeMvy5tLAXJa5Vt42SjBeNkINT88yXnWfYkLzBatVO3TLdhbgLcubSwNzWeZaedsowXjZCDU8Pct4MRYzxQTP8VW3j+YLVqt26Ja9CsBbljeXBuayzLXytlGC8bIRanh6nvFiNE+ePInGe/Gjxzp9NF+wWrVDt+wVAN6yvLk0MJdlrpW3jRKMl41Qw9Ntxovx8CB7Pq5OSwppvmC1aodu2c4CvGV5c2lgLstcK28bJRgvG6GGpxcxXjzei6eXqNOSQpovWK3aoVu2swBvWd5cGpjLMtfK20YJxstGqOHpRYwXIzLjveqypJDmC1arduiW7SzAW5Y3lwbmssy18rZRgvGyEWp4elHjxZjqtKSQ5gtWq3bolu0swFuWN5cG5rLMtfK2UYLxshFqeHoZ48WozJJC/X6/UnKaL1it2qFbNuTBW5Y3lwbmssy18rZRgvGyEWp4elnjxeO9eKwX/1S5pJDmC1arduiW7SzAW5Y3lwbmssy18rZRgvGyEWp4elnjxbj4bhefV+V4L80XrFbt0C3bWYC3LG8uDcxlmWvlbaME42Uj1PD0eYwXI6t6vJfmC1arduiW7SzAW5Y3lwbmssy18rZRgvGyEWp4+rzGi7GZ8V5VzO+l+YLVqh26ZTsL8JblzaWBuSxzrbxtlGC8bIQanr6I8apyfi/NF6xW7dAt21mAtyxvLg3MZZlr5W2jBONlI1R1+mhA4Zcd2mqtROOm2q0N2u0GFA7Oc5SNaNh/TAc7G5Nz1mir87XlnPTsFjFenKOZ30t6PUfNF6xW7dCdfg352gvevshm5wvm2Wx8pGjlbWMB42UjVGn6iM56+7Te2qa94ISGRDQaPKVPNteovX1I/VG6uNFpQPdW12hr/ykNomPOqB/s09bmAwqHGSelZxUZt4ykwrurWM9R8wWrVTt0F74knBwI3k4wlsoEzEvhWvhgrbxtFYfxshGqNP0V9To3EybrLfUP71C7dZ+OBxcp6kz6HXrUf3uVPjqhR9vX6dbhCZWxXove8TICzHqOz549M7u8/tZ8wWrVDt1eQ3omc/CeQeJ9B5h7RzxVgFbeU5VI+QLjlQKlNrsuQjq4tkLrnR6dxURdhF260bpJe71Xsb1m8yUd71yn9rUuhVO+bLJ/J6CBObTAb1fGi8d78eNGnt+LHz/6/mi+YLVqh27fUT2dP3hP85D4BuYSlK/K0Mr7qgbpWzBe6VzqsfesR3urK3SjG1LcQ436h3SrdZ12g5cpOi3Ga8aQpWQR2+XKeHGWbLjYeLEB8z25quYLVqt26I5dOAKb4C0AOVEEmCeAeP6qlbcNC4yXjVCV6YOAdluzxoui/VnGa/KocXWfemexh4oTEzd7J4wmA/DN4P3Z3xz8rn4+//yLqLy7d+85y9OVNuTjrp3BEiwRA4gBFzFQ5Z9gX2XDePki6yLfuYwX0Xhw/Qbt/uLZeHD96JR6+9tjg1XhHS+D5Kujo0gLD7r39eELXutHq3bolo048JblzaWBuSxzrbxtlGC8bISqTJ/rUSMLTkwnsfoBHTx9TI947FfO25BpVXX5qDGePz9u5Lx9Laat+YLVqh264xHufxu8/TNOlgDmSSJ+v2vlbaMC42UjVGX6XIPrMwRn5JVx9OVuX8aLx3iZxbRfv359WZ6rDc0XrFbt0O0qeovlA97FOLk8Csxd0rTnpZW3rWYwXjZClabnTSeRmC7iUmfGdBLRY8usNyEvT57Z8GW8uKD45KquB9trvmC1aofumcvH6w7w9oo3NXMwT8XibadW3jYgMF42QpWmmwlUN2j38AUNo0eIAe1trtH63YBOY2Pn4zJnJlAd9umb7gd0I+ec+PnxbZ/Gi8sxk6s+/OJhvNiFtzVfsFq1Q/fCYVsqA/AuhcvJwWDuBGPhTLTytlUQxstGqOr0mSWDZpf/Gc/rFX/Lkcd4jQ0aG6fxMkOPqV9y1nquum/jxWWw6eJyXE6uqvmC1aodumU7C/CW5c2lgbksc628bZRgvGyEGp4uYbzM5KpclqvJVTVfsFq1Q7dsZwHesry5NDCXZa6Vt40SjJeNUMPTJYwXI+YB9i4H22u+YLVqh27ZzgK8ZXlzaWAuy1wrbxslGC8boYanSxkvxuxysL3mC1arduiW7SzAW5Y3lwbmssy18rZRgvGyEWp4uqTxYtQ8zovLXHSwveYLVqt26JbtLMBbljeXBuayzLXytlGC8bIRani6tPFi3Gaw/SIz22u+YLVqh27ZzgK8ZXlzaWAuy1wrbxslGC8boYanV2G8GLmZ2f7bb7+dqwU0X7BatUP3XKE690ngPTe6uU8E87nRzXWiVt62ysJ42Qg1PL0q48VvOr7/3nvRgPt53nTUfMFq1Q7dsp0FeMvy5tLAXJa5Vt42SjBeNkINT6/KeDF2Nlz8piPf/So7s73mC1arduiW7SzAW5Y3lwbmssy18rZRgvGyEWp4epXGi9Gbwfadjz8u1RKaL1it2qG7VIgufDB4L4ywdAZgXhrZQido5W2rNIyXjVDD06s2Xoz/OAhKv+mo+YLVqh26ZTsL8JblzaWBuSxzrbxtlGC8bIQanl4H48VNYN50LLqskOYLVqt26JbtLMBbljeXBuayzLXytlGC8bIRanh6XYxXfFmhIm86ar5gtWqHbtnOArxleXNpYC7LXCtvGyUYLxuhhqfXxXhxM7D5MssK2d501HzBatUO3bKdBXjL8ubSwFyWuVbeNkowXjZCDU+vk/HipjBvOvJUE3lvOmq+YLVqh27ZzgK8ZXlzaWAuy1wrbxslGC8boYan1814cXPwo0bWlTfNhOYLVqt26JbtLMBbljeXBuayzLXytlGC8bIRanh6HY0XNwkvJ8TastZ01HzBatUO3bKdBXjL8ubSwFyWuVbeNkowXjZCDU+vq/HiZjFvOn51dDTTSpovWK3aoXsmDL3uAG+veFMzB/NULN52auVtAwLjZSNUdfpoQOGXHdpqrUR3eNqtDdrtBhQOznOVjQbP6aizPTlnhdZ3HtA3/bPcc9IS62y8WC9PrMoak9NMaL5gtWqH7rQryN8+8PbHNitnMM8i42e/Vt42GjBeNkKVpo/orLdP661t2gtOaEhEo8FT+mRzjdrbh9QfZYgbPqeDzTVavxvQaXTMGwq7t6m9uk+9s6yT0vOqu/GKTzPR7/cvK6H5gtWqHbovw09kA7xFME8VAuZTOLx/0crbBgbGy0ao0vRX1OvcTJist9Q/vEPt1n06HlykqrsIu3SjdZ12g5eX6Wn7LhNzNupuvFh62jQTmi9YrdqhO+dC8pAE3h6gWrIEcwsgx8laedswwHjZCFWZfhHSwbUVWu/0KP6QcGyibtJe71WqujSTlbYv9eTETg3GiyWbaSZ4ni82YpovWK3aoTtx8Xj+Ct6eAadkD+YpUDzu0srbhgTGy0aoyvSzHu2trtCNbkjxe1uj/iHdStzRmpKZ+ajxQzo+zR8bNpUPUTR+Krmvrt/5USMbRZ5m4te/eVxXmVZdWjsb6LY2rdMDwNspzkKZgXkhTM4O0srbBgDGy0aoyvRBQLutWeNF0f7pR4lJmWNzZgbk8+/sO2RsVvJ+OPi1/Hz++RdRXf7sT/9cjWYtbKFTz3WAtkJbLUsMJP+2LcN3GK86t+Kcxmt0GtC91Q3aPXwRDcgnOqdB71Paat2mg/BNqRpredQYr9RxEETmK2uOr/ixddzmDlPjB7plWw28ZXlzaWAuy1wrbxslGC8boSrT53rUOBmQn3yDcXRCj7bXqL0T0KBEnTQaL67eRx/9LDJfaXN8lah+JYdq7WygWzZcwFuWN5cG5rLMtfK2UYLxshGqMn2uwfUv6XjnOrWvdSmMDwyjrP35FdRqvPiC/flnn0XmKznHV36Nq0/V2tlAt2zsgLcsby4NzGWZa+VtowTjZSNUaXredBJ36FH/bYq6IYXdd2eNV8PuePEFG5/jS5P50trZQHfK5ehxF3h7hJuRNZhngPG0WytvGw4YLxuhStPNBKpmvNaIhv2A9qYmR50VOB7jtU17Xz6nQTRfarPGeDERc8HGzRdPOaHhY7Rr0BrXCN1xGv63wds/42QJYJ4k4ve7Vt42KjBeNkJVp88sGbRGW52vp5YMmp2jiw3aYzrY2YgetUVvLG526CgcULl563VNJxFvqvgFG5/jS4P5imuP16nu29At20LgLcubSwNzWeZaedsowXjZCDU8XfMYr3jTaTJfWjsb6I5HnP9t8PbPOFkCmCeJ+P2ulbeNCoyXjVDD05fFeHEzsvni+vAEq/wIsq4frZ0NdMtGFHjL8ubSwFyWuVbeNkowXjZCDU9fJuPFTcmD7OtuvrR2NtAt21mAtyxvLg3MZZlr5W2jBONlI9Tw9GUzXtycdTdfWjsb6JbtLMBbljeXBuayzLXytlGC8bIRanj6MhovbtInT55Ed77qOLu91s4GumU7C/CW5c2lgbksc628bZRgvGyEGp6+rMaLm5VNF9evbuZLa2cD3bKdBXjL8ubSwFyWuVbeNkowXjZCDU9fZuPFTVtH86W1s4Fu2c4CvGV5c2lgLstcK28bJRgvG6GGpy+78eLmNearLus6au1soFu2swBvWd5cGpjLMtfK20YJxstGqOHpTTBe3MSdjz+OHjvWYWkhrZ0NdMt2FuAty5tLA3NZ5lp52yjBeNkINTy9KcYrvrRQ1eZLa2cD3bKdBXjL8ubSwFyWuVbeNkowXjZCDU9vivHiZq6L+dLa2UC3bGcB3rK8uTQwl2WulbeNEoyXjVDD05tkvLip62C+tHY20C3bWYC3LG8uDcxlmWvlbaME42Uj1PD0phkvbu6qzZfWzga6ZTsL8JblzaWBuSxzrbxtlGC8bIQant5E48VNHjdf3377rWgUaO1soFs0TGACZHFHpSHGZaFr5W2jBONlI9Tw9KYaL252XlT7R++8E/3wttRHa2cD3VIRMi4HvGV5c2lgLstcK28bJRgvG6GGpzfZeHHTV2G+tHY20C3bWYC3LG8uDcxlmWvlbaME42UjVHX6aEDhlx3aaq1E80y1Wxu02w0oHJxnKHtJxzvXJ8eac2K/r3UpvMg4NWV3040XI5E2X1o7G+hOuYA87gJvj3AzsgbzDDCedmvlbcMB42UjVGn6iM56+7Te2qa94ISGRDQaPKVPNteovX1I/VFRcW8o7N6mdmubPumdUuHTiCIDV7SUOh3n+oKVNF+utUu1C3RLkR6XA96yvLk0MJdlrpW3jRKMl41QpemvqNe5mTBZb6l/eIfarft0PCh262p0GtC91RVa7/TorGR9cMfrCpiU+dLa2UD3VaxIbIG3BOXpMsB8mofvb1p527jAeNkIVZl+EdLBtVnDdBF26UbrJu31XhVQNzFvqx/S8WnW48nsbGC8ptlImC+tnQ10T8eK72/g7ZvwbP5gPsvE5x6tvG1MYLxshKpMP+vR3uoK3eiGFL+3Neof0q3WddoNXlrVjY9do63u8+hRpfWExAEwXgkgAmO+tHY20D0bKz73gLdPuul5g3k6F197tfK28YDxshGqMn0Q0G5r1nhRtL+I8TJju+7Qo/7bzJqwucr74eDHzzSDf/jHf6I/uvGH0Q9vg880H/AAD8QAYsBFDGT+4VKcAONV58Zb1HhN7piVG4g/DQR3vKZ5xL/5euzInZXGD3TLthp4y/Lm0sBclrlW3jZKMF42QlWmL/iocTwWbI1uHZ6UepMxXmUYrziN2W0f5ktrZwPds/Hhcw94+6SbnjeYp3PxtVcrbxsPGC8boSrTFxpcb95+zH/MaKsejJeNkPt5vrR2NtBtjxWXR4C3S5rF8gLzYpxcHaWVt63+MF42QpWm500nYTNUk4lUS06YmqwujFeSSPr3+J2vRdd21NrZQHd6bPjaC96+yGbnC+bZbHykaOVtYwHjZSNUabqZQHWDdg9f0JBGNOwHtLe5Rut3AzrNmwl1cresvRPQYIE6wHgVh2fMFzN79uxZ8RMTR2rtbKA70ZCev4K3Z8Ap2YN5ChSPu7TytiGB8bIRqjp9ZsmgNdrqfD21ZNB4LFfiLceMx5RlqwPjVY4Ym6+f3rsXvSU6r/nS2tlAd7lYWfRo8F6UYPnzwbw8s0XO0MrbVmcYLxuhhqfDeJUPgB9++GEh86W1s4Hu8rGyyBngvQi9+c4F8/m4zXuWVt62+sJ42Qg1PB3Ga74AWMR8ae1soHu+WJn3LPCel9z854H5/OzmOVMrb1tdYbxshBqeDuM1fwDMa760djbQPX+szHMmeM9DbbFzwHwxfmXP1srbVk8YLxuhhqfDeC0WAHHz9dXRUaHMtHY20F2oeZ0dBN7OUBbOCMwLo3JyoFbetsrDeNkINTwdxmvxAGDz9fPPPosG3D/84qE1Q62dDXRbm9bpAeDtFGehzMC8ECZnB2nlbQMA42Uj1PB0GC93AcCmi3nazJfWzga63cVKkZzAuwglt8eAuVuetty08rbVC8bLRqjh6TBebgMgbr74TljaR2tnA91prelvH3j7Y5uVM5hnkfGzXytvGw0YLxuhhqfDeLkPAGO+eL6vNPOltbOBbvexkpcjeOfR8ZMG5n64ZuWqlXdWfcx+GC9DAr9TCcB4pWJZeCdPrsps08yX1s4GuhcOi1IZgHcpXE4OBnMnGAtnopW3rYIwXjZCDU+H8fIXAHHzxTPem4/Wzga6TQvK/AZvGc7xUsA8TsP/tlbeNjIwXjZCDU+H8fIbAGy+fvTOO9GPMV9aOxvo9hsrydzBO0nE/3cw9884XoJW3vE6pG3DeKVRwb5LAjBelyi8bZjFtdmA9ft90trZQLe3EEnNGLxTsXjdCeZe8c5krpX3TEUSO2C8EkDwdZoAjNc0D1/fjPli3p9//oWvYrzmq7WThG6vYTGTuVbeXBGt2qF7Jgwr3QHjVSn++hcO4yXXRq9fv15ocW05pekloXNP5+JrL3j7IpudL5hns/GRopW3jQWMl41Qw9NhvGQDgKeXuP0ntwtNtCqrzF6a1k4Suu1t6/IIrbyZgVbt0O0yghfPC8ZrcYZLnQOMl3zz/vo3j6PZ7Zk9z/mVNteXvCp7iejc7YxcHgHeLmkWywvMi3FydZRW3rb6w3jZCDU8HcZLPgBMZ2ObaFVeWX6JRnf+UfVLhW7ZNtHKmylp1Q7dsjFuKw3Gy0ao6vTRgMIvO7TVWokeP7VbG7TbDSgcnOcrS563+gE9eD6gUf5ZM6kwXjNIvO+Id5JZc315FzFHAXHdc5xe2SnQLYteK2+mpFU7dMvGuK00GC8boUrTR3TW26f11jbtBSc0JKLR4Cl9srlG7e1D6me6qDcUdm/T+s4RnQxHRKNT6u1vU7t1mw7CN6VqBONVCpeTg5OdZNpcX04KcpxJUrfj7L1lB93e0KZmrJU3V0arduhODcXKdsJ4VYa+SMGvqNe5mTBZb6l/eIfarft0PLhIzWTUP6RbrZu013t1lX7Wo73VFbrRDSn9rKtD41swXnEaMttpnaSZboLn+mIjVsdPmu466kxqgu4kEb/ftfJmKlq1Q7ffmC6bO4xXWWKSx1+EdHBthdY7PTqLlXsRdulG0lhdpk+M2eo+9c4yb4ldHm3bgPGyEXKfntVJsvnitR25TZ48eeK+4AVzzNK9YLbeT4du74inCtDKmyuhVTt0T4Vg5V9gvCpvghwBGXepxne0rtNu8DLl5CGF3Xepfe1TOn72kHZXJ2PDNjt0FKaP8eI/5Hk/fNHipx4M+I1HM93ERx/9DO2C2EQMIAaWOgZS/sip3wXjVecmHAS020p5PBjtzzJeL+l453pkpNZ3HtK/R4Pwz2nQ+5S2MMarzq19qa3If6d1fOOxiO7LStZoA7plG0Mrb6akVTt0y8a4rTQYLxuhKtMXMV6rH9LxaezNx9EJPdpem3lsaaseHjXaCLlPL9pJHgdBZLD58SM/hqz6U1R31TqT5UN3kojf71p5MxWt2qHbb0yXzR3GqywxyePnetQ4GZB/rUvh1Cj6yZ2wmf35FYLxyufjI7VMJxl/45EX2K7yU0Z3lTqTZUN3kojf71p5MxWt2qHbb0yXzR3GqywxyeMXGVw/Y7Amxit3GorZysF4zTLxvadsJ2neeOS2qvKNx7K6fXMsmj90FyXl5jitvLn2WrVDt5vYdZULjJcrkl7yyZtO4g496r9NKdXM/ZVIx6PGFFb13DVPJ8nLCpk3Hnn8VxWfeXRXoTNZJnQnifj9rpU3U9GqHbr9xnTZ3GG8yhITPd6YqA3aPXxBQxrRsB/Q3uYard8N6DRrtojRd3R8dyN2zBn1g33aSo77KlAX3PEqAMnxIfN2kmy+zKD7zscfi6/xOK9ux/hKZwfdpZEtdIJW3lxprdqhe6GQdX4yjJdzpI4zTC7901qjrc7XU0sGjef1SrzlOOzTN90PaH0yVcT6zgP6ph+fDayYThivYpxcHrVoJ2kG3b//3nuig+4X1e2SYZm8oLsMrcWP1cqba65VO3QvHrcuc2is8YrmwkqdZHS+QeguG6VOecF4ybeGi07y22+/JZ7lnn94W+LjQreEzmQZ0J0k4ve7Vt5MRat26PYb02Vzb6jxGs/unpwRfgwPxiseRDBecRoy2646SR50z3e9uA35LpjvjyvdvnUm84fuJBG/37XyZipatUO335gum3tDjRcPWv8x3To8odlhUjBe8SCC8YrTkNl22UnyuC8e78Xt+PPPPqBQfocAACAASURBVPM67sulbhnS41KgW5K2XvPClBAriBUXBNwZr2iyTx5/9Dkd7GxEHX27tUG7v/g36p88ju3bpr3ghIZG/bBPvcMObV0uW5MYwzQzxmmDdruPqT+cWCZbuikn/juaHyvx1t9letJ4mVnf12hr/ykNomLPqP/0wdRyPL+KxlO9SwfhZc0uc9S8AeMl33o+Ovevjo68T7bqQ7cEfeiWoHxVhlbeXAOt2qH7Kv7qsOXYePGaf9v0Se+URvSGwu7tsQFb/YAePB/QaHRKvf1tarcmpmfy9l1781PqmaVtno/XFxw/Bpws+Hy51M2IhidHkeEplp6GePKmYOZ8VnHjZcqLm65zOg0+pPWWMZDGmHHdYbzSiFexT2tHw6x8aY9Ptupj3Jcv3b7jB7p9E57OXytvn9fmNCH337Qy16rb1oLOjVd83NR4MeeVqWVq4m/gjdPXph/5TeabakcTgE5MUOogeK6aLT2t+nnju2J5Xvsv1HvBJi9uuogodT6syXxbMF5pwCvZp/mC9ak9Pu6L74K5/PjU7VJnMi/oThLx+10rb6aiVTt0+43psrk7N143uiFdrlSTsphz3HiNxfLcVL+NBv8eB//t6pFkZLzM3aUVWt/p0j8Hv716xBidbEtPwREZpx/TXu9VSiLvmpg58+gzYfrGZjExdQOZ+bZwxysDqvhurR0Ng/Ktncd98Xgvfozscr4v37p9BRF0+yKbnq9W3hLXZjqxxfdqZa5Vt63FqjVel48ejbEK6Lj3mB7tXKfxHS+Wf0b9XkCPOvyIkh/njY89DgeTgfG29GkE2dNImOOujNf65rv0n3jerO7zyzFps8ZxfN54P4yXoVj1b80XrJR2M98XTznhYpFtKd2uYwu6XRPNz08rb66VVu3QnR+T0qkVGq//oLPePq23Nuhe8N3V24VTjxqTONhkHUYzt7cTd6LGR9rSbeO7OJf448vXk3FqVwPxUx+P4o5XsqEq/661o2Fwktp5YW02XvwPzZMnTxZqN0ndCwlNnAzdCSCev2rlzVi0aoduz0FdMvsKjdfvaRDcvxpob4RHbxyuxO54mQTz+yL9PJNMeel500iYDCbGa7LI9Og0oHurK1fL76SO8TIvEuCOl6FY9W+tHQ1zk9b++vXrqXUe+VHkPB9p3fNoTDsHutOo+NunlTcT0aoduv3F8zw5V2i8/oOG4QPaij3KGw2e05F5pMh3tN78PlpzsL25T8dmuZvhC3rE01VsPqDwzJJuppwwZHKnkTAHTRsvIjOOzNyZM9/xVqMhVsffWjsaZlmVdrPOIy+2Pc+jx6p0Lxp/0L0owXLna+Vd5bVZjvDs0VqZa9U92wLTeyo0Xi/H47d48WYzkJ2naDj873Tcff/yTthoENJxbM3BdmKtQlt6vLr28V18dNJ4EdHwOR1sro3NXmTmkvN4/RUdRIYRd7zivKvc1nzBVqk9PuUEb5f5VKm7jM7ksdCdJOL3u1beTEWrduj2G9Nlc3dnvMqWvFTHm8eb9+l4cPlO51LUkMf+aPxo7WiYddXa+W4X3/Xitue7YEUfPVate944he55yc13nlbedbg25yNefZ/SNN22+sJ42Qgl0ydj0NZ3jugkuvvF02EE0YD/9bsBnc6uQZTMQdV3GC/55qrDHyY2W2UfPdZB9zytBd3zUJv/HK28ucZatUP3/PHq40wYr9JUz2kQBlfzjUWPSfkRaS8xx1jpjGt5AoyXfLPUqZMs8+ixTrrLtBp0l6G1+LFaeXPNtWqH7sXj1mUOMF4uaS5hXjBe8o1at04y/ugxb6Htuuku2nLQXZSUm+O08ubaa9UO3W5i11UuMF6uSPrKJ3UR8IDCaG3LrELNmLPxhLNsnsY/5Qf/w3hlMfa3v46dJD96NAttv//ee6lvPdZRd5FWgu4ilNwdo5U3E9CqHbrdxa+LnGC8XFD0lodZishMXUE0GjylT/gNy8xFvlnMZO3I3GOKiYbxKsbJ5VF17iR5cW0z4SrPfB//1Fl3XGdyG7qTRPx+18qbqWjVDt1+Y7ps7jBeZYmJHp9moMaLfLdbOW9Qpk7yOp9wGK/5uC1yVt07SZ5wldd45NiIr/VYd91ZbQLdWWT87NfKm2lo1Q7dfmJ53lxhvOYlJ3HeRUgH11ZovdOjs1h543Uhb2Yv9B29eZlcyDuWQYlNGK8SsBwdqqWTjK/1yHfCtOhONhN0J4n4/a6VN1PRqh26/cZ02dxhvMoSkzx+MnXFjW5I8dnBxutFZhursTHboL/ceZ/WzfiuzQ4dXS4sXrwSMF7FWbk6UlMnyWs98piv6O5X568Lz/nlipWLfDTxjtcXuuM0ZLbBXIazKUUrb6M/6zeMVxaZOuwfBLTbWqGk8aJof5bxMo8iN2j38AUNo3qMaHhyRLurt+kgfDNTM/6jmffDwY8fMMiKgV//5jHdvTuecPX2n9ymf/jHf0K84JpBDCAGnMTAzB+sJdgB41XnRpzLeGVVaLIUUskB97jjlcXT336t/+X97d/9KnPgvT9ai+eslTd0L972ZXMA87LEFjteK29brWG8bISqTJ/zUWO65JQ1KNMPnNoL4zWFQ+SL1s6GdScH3vP3un8086472zR9WnlzXbRqh+60SKxuH4xXdeztJc87uD41ZxivVCw13LkMnWR84P2TJ09qSPlK0jLwvqpN/be08mayWrVDd72uCxiverVHQk3edBJ36FH/beJ4/jo5Z3WfemexhSPnnGICd7xSEHvetSydZHzG+/i0E57xlc5+WXiXrnhFJ2jlzbi0aofuioI9o1gYrwww9dhtJlA1A+WLLMg9omH4gLZa5hyuyTkNep/S1uqHdHx6XqpqMF6lcDk5eNk6yfjdL552om6fZeNdN75JPVp5cz20aofuZBRW+x3Gq1r+9tJnlgxao63O11NLBo2nj4i/5Ti7kPf6zgP6ph+fDcxeNB8B41WMk8ujlrGTjE87kbfeo0uORfNaRt5F617FcVp5Myut2qG7ikjPLhPGK5sNUmC8KomBZe0k4+s98rJDdbn7tay8KwneAoVq5c1V06odugsEpuAhMF6CsDUWhTte8q227J1k3e5+LTtv+QjOL1Erb66VVu3QnR+T0qkwXtLElZUH4yXfYE3oJOt096sJvOWjOLtErby5Rlq1Q3d2PFaRAuNVBXVFZcJ4yTdWkzrJOtz9ahJv+WieLVErb66JVu3QPRuHVe6B8aqSvoKyYbzkG6lpnWTy7tezZ89EoTeNtyjclMK08uaqaNUO3SmBWOEuGK8K4WsoGsZLvpWa2knG737xvF9Ss943lbd8ZI9L1Mqb1WvVDt1VRXt6uTBe6Vywd0IAxks+FJreScbn/ZKY9b7pvKUjXCtv5qRVO3RLR3l+eTBe+XwanwrjJR8C6CSJ4rPe//Tevei7r5YAb19k0/PVyptro1U7dKfHYlV7YbyqIq+kXBgv+YZCJ3nFnO948ZxfHIdfHR0Rjwdz/QFv10Tz89PKm2ulVTt058ekdCqMlzRxZeXBeMk3GDrJaeY81otnu+dYfP+994jHgrn8gLdLmva8tPLmmmnVDt32uJQ8AsZLkrbCsmC85BsNnWQ6c57p3tz9YiPmavA9eKfz9rVXK2/moVU7dPuK5vnyhfGaj1tjzoLxkm9qdJLZzJNTT7gYfA/e2bx9pGjlzSy0aoduH5E8f54wXvOza8SZMF7yzYxO0s48Ofh+kceP4G3n7fIIrbyZgVbt0O0yghfPC8ZrcYZLnQOMl3zzopMszjw++P7hFw/nGnwP3sV5uzhSK2+uu1bt0O0ict3lAePljuVS5gTjJd+s6CTLMefHj2y6OFZ5DFjZx4/gXY73okdr5c311qoduheNWrfnw3i55bl0ucF4yTcpOsn5mPPjRp7zi2OWfxd9/Aje8/Ge9yytvLm+WrVD97zR6uc8GC8/XJcmVxgv+aZEJ7kY87KPH8F7Md5lz9bKm+upVTt0l41Sv8fDePnlu3juowGFX3Zoq7US/Sffbm3QbjegcHBeMO8RDcMHtNW6TrvBy4LnXB0G43XFQmoLneTipJOPH3kZoqwPeGeR8bNfK2+moVU7dPuJ5XlzhfGal5zIeSM66+3Temub9oITGhLRaPCUPtlco/b2IfVHBUQMn9MBHw/jVQBWPQ5BJ+muHfhxIy+4zf9A8OSrPBdY8gPeSSJ+v2vlzVS0aoduvzFdNncYr7LERI9/Rb3OzYTJekv9wzvUbt2n48GFRc0bCru3J3fKcMfLAqs2yegk3TfFs2fPLidfZSMWn3wVvN3zzstRK2+uk1bt0J0XkfJpMF7yzIuXeBHSwbUVWu/06Cx21kXYpRutm7TXexXbm9w0jxhv02fdn9EN3PFKAqrtd3SSfpqGHz/yI0e++8U/Zu1H8PbDOytXrby5Plq1Q3dWNFazH8arGu7FSj3r0d7qCt3ohhS/tzXqH9Itm5GKHjFep63uc/p/kVHLvuNl/hBl/eaLFj9gsCwxcPwv/0p3747ffvyjG39In376nxHfuMYRAzWNgWJ/LHUdBeNV5/YaBLTbmjVeFO3PNlJEk0eMmw8oHI5ofIcs7/hsCGzGNH60/ofHrLVq16Y7Of6LH0dq+mjjbdhq1Y1r07Sg3G/NsZJHCcYrj07VaXMZr6tHjAfhm6gGMF5VN2S58rV2Nlp1f/75F9HAe/4ng8d/FZ3/q1yruj9aK2+turkFtWqHbvfX3yI5wngtQs/3ufM8aow9YuS3IPkD4zUBoeQXOknZhmLeZvwXz3zPBuznn302NQBfVlGx0hAnxTi5PArMXdK056WVt61mMF42QlWmzzG4fmyyzJxfKb93AhqUqBMeNZaA5ehQrZ3NMuiOz//FsT/v+o+OQiE3m2XgnVvBGiaCuWyjaOVtowTjZSNUaXredBJ36FH/bSF1uONVCFNtDtLa2SyTbp5ugu96sfniu2D8NiSbsjp9lol3nbjmaQHzPDru07TytpGA8bIRqjTdTKC6QbuHL2hIIxr2A9rbXKP1uwGdFplAFY8aK23BeQrX2tkso+74APx5FuCep/2LnrOMvIvWvarjwFyWvFbeNkowXjZCVafPLBm0Rludr6eWDLLd0bKl51URjxrz6PhJ09rZLLNuNmA88z1fD/y7Dm9ALjNvP1fW4rmC+eIMy+SglbetjjBeNkINT4fxkg8ArZ1NE3Sz4aqLAWsCb/mrL79EMM/n4zpVK28bBxgvG6GGp8N4yQeA1s6mSbrjBqyqKSiaxFv+KkwvEczTufjaq5W3jQeMl41Qw9NhvOQDQGtn0zTdySkopA1Y03jLX4mzJYL5LBOfe7TytjGB8bIRang6jJd8AGjtbJqquyoD1lTe8lfkVYlgfsVCYksrbxsbGC8boYanw3jJB4DWzqbpuqUNWNN5y1+ZmLlemrnWGLdxgvGyEWp4OoyXfABo7WygexwrUgYMvHFtFiWAWClKSuY4GC8ZzmpLgfGSbzp0krLMffH2bcB86fZNX6tu5qJVO3T7jupy+cN4lePVuKNhvOSbHJ2kLHPfvH0ZMN+6fbWCVt3MQ6t26PYVzfPlC+M1H7fGnAXjJd/U6CRlmUvxTjNgi0zEKqXbdWto1c0ctGqHbtdRvFh+MF6L8Vv6s2G85JsYnaQsc2neSQM270z40rpdtYpW3Vx/rdqh21X0uskHxssNx6XNBcZLvmnRScoyr4o3G7D4RKxlDVhVuhdtHa26ud5atUP3olHr9nwYL7c8ly43GC/5JkUnKcu8DrzjBowX4z4OAmJjlvepg+48fVlpWnVzfbRqh+6saKxmP4xXNdzVlArjJd9U6CRlmdeJNxswngGfrzs2YF8dHdHr169TgdRJd6rAjJ1adXN1tGqH7oxgrGg3jFdF4LUUC+Ml31LoJGWZ15F3v9+/NGB8DT784uGMAauj7iItp1U3102rduguEplyx8B4ybFWWRKMl3yzoZOUZV5n3t9//31kuvg65J/4epB11p3Xglp1c520aofuvIiUT4PxkmeuqkQYL/nmQicpy1wDb37cyI8d+fEjX5M8EP/zz7+QBeWoNA28s6qqVTt0Z7VoNfthvKrhXrzU0YDCLzu0NfmPt93aoN1uQOHgPCePEQ37j+lgZyPqpIudk54djFc6F5970Un6pDubtybePOD+yZMnkfHia7PoQPzZWle3RxPvJCWt2qE72ZLVfofxqpa/pfQRnfX2ab21TXvBCQ2JaDR4Sp9srlF7+5D6o/TTR6cB3Vtdo61OQP3h6OqczQcUDjNOSs8qMm4ZSbXerbWjYahatUO37CXBd7zMQHw2YTwOjB9N1v2jNU5wbcpHluZYyaMF45VHp/K0V9Tr3EyYrLfUP7xD7dZ9Oh5cpCg06XfoUf/tJP2CBsF9arfepYOQ7VvxD+54FWfl6kitnQ10u4qAYvkY3jwQn00XX6v8w2bs22+/LZZJBUcZ3RUUvXCRWrVD98JN7zQDGC+nOB1ndhHSwbUVWu/06CyW9UXYpRutm7TXexXbm7cJ45VHp25p6CRlW2RZePM4MJ7/Kz4OjB9L2uYDk6Wt944uc1qWWJFu83nL08rbVl8YLxuhKtPPerS3ukI3uiHF722N+od0q3WddoOXBdTxeK+A9jbXaP1uQKflnjTiUWMBwq4P0drZQLfrSMjPL4t3ckb8uj2GzNKdX9t6pGrVDt31iB+jAsbLkKjj70FAu61Z40XR/gLGa3RCj7bXxo8gVj+gB88HlOa7zCOKrN980eIHDBAD+mLgy6P/Sh999LPLx5B/9qd/Hr0NibbU15ZNbbM6/mleVBOM16IEfZ6/qPG61HZOg96ntNXaoHvBd6nm6/LQxAabMY0f7qS0frRqh27ZiCvDO/kY0jYrvs+alNHtU8c8eWvVDt3ztLa/c2C8/LFdPGcnjxonMszdr5y3IdMEw3ilUfG7D52kX77J3JvGO74sEV/fP//sM9HB+Fp5c9xo1Q7dyau+2u8wXtXyzy/d2eB6LuYlHe9cp/a1LoXxAWP5CjDGy8LHRzI6SR9Us/NsKu+0SVl5cD7v9/nRypuZaNUO3T4junzeMF7lmQmekTedRHy6iLikyTmr+9Q7i43omtzxKjvAHne84mxlttFJynA2pTSdtxmM/9N79y7Hgvm8C6aVN8eLVu3Qba72evyG8apHO2SoMBOobtDu4QsaUpE3FEc0DB9E47nG53DWZ9QP9mmrdZsOwjcZZaXvhvFK5+JzLzpJn3Rn8wbvKyZmbcj4lBS8VJHLu2BaeTMlrdqh+yrG67AF41WHVsjTMLNkEM9I//XUkkHjeb3ibzme0yAMYksGrdD6zgP6ph+fDSyv0Ks0GK8rFlJb6CSlSI/LAe9Z3uYuWHxmfN7m8WGLzgumlTdT0qodumdjvMo9MF5V0ldQNoyXfCOhk5RlDt75vJNjwfhu2CLLE2nlzZS0aofu/BiXToXxkiaurDwYL/kGQycpyxy8i/PmpYh4/Bf3C/zz/nvvRYt2l3kUqZU3U9KqHbqLx7jEkTBeEpQVlwHjJd946CRlmYN3ed5stHg5IjZexoSxIeNHkbaPVt5cL63aodsWlbLpMF6yvNWVBuMl32ToJGWZg/divJMD8s2jSF68O+2jlTfXRat26E6LxOr2wXhVx15FyTBe8s2ETlKWOXi74532KDL5VqRW3kxJq3bodhfjLnKC8XJBcYnzgPGSb1x0krLMwds9b37zkR9FxucG423ed/wv/+q+QKEcEStCoCfFaOVtowTjZSPU8HQYL/kA0NrZQLdsrGjhzePBeEb8tPFgi05NIUscd7zA2w0BGC83HJc2Fxgv+abV8gc1SQa6k0T8ftfIm8eDdTp/TWaCVu5fzKB8DSZMI3OOQuj2ey2WzR3Gqyyxhh0P4yXf4OgkZZmDdzW8eTwYzwdmTJgZlM/76/pBrMi2jFbeNkowXjZCDU+H8ZIPAK2dDXTLxsoy8dZiwpaJuWy0zleaVt622sJ42Qg1PB3GSz4AtHY20C0bK8vImx838lxg8Ula63QnbBmZy0ZtudK08rbVEsbLRqjh6TBe8gGgtbOBbtlYWXbedTRhy85cNoLtpWnlbasZjJeNUMPTYbzkA0BrZwPdsrHSJN5ZJkx6YH6TmMtGc3ppWnmn1+ZqL4zXFQtspRCA8UqB4nmX1s4Guj0HRiL7JvNOjgnjfkrChDWZeSL8RL5q5W2DA+NlI9TwdBgv+QDQ2tlAt2ysgPeYd5oJM5O1llm8u0jrgXkRSu6O0crbRgDGy0ao4ekwXvIBoLWzgW7ZWAHvWd68PiQvURSfrJVNGO/jOcQW/YD5ogTLna+Vt62WMF42QlWnjwYUftmhrdYKsQlqtzZotxtQODjPUXZOg/Br2ttcm5yzQus7XToOBzTKOSstCcYrjYrffVo7G+j2GxfJ3ME7SWT6OxstnjE/vmwRGzKeO2zeucLAfJqx729aedu4wHjZCFWaPqKz3j6tt7ZpLzihIRGNBk/pEzZU24fUT3VRIxqGD2iLDdovntGAjxme0HFnm9qt23QQvilVIxivUricHKy1s4FuJ81fOBPwLoyK+JEjrxMZn6aC+zYzLqzoI0kwL87cxZFaedvqDuNlI1Rp+ivqdW4mTNZb6h/eoXbrPh0PLlLUTc651qUwnnzWo73VFVrv9Ogs5aysXTBeWWT87dfa2UC3v5hIyxm806jY95k3JOOz5nM/x3fG+A5Z3iNJMLfzdXmEVt42BjBeNkJVpl+EdHBt1ixdhF260bpJe71XxdVN8mrvBDQoflb0qLLE4bU5VPMFq1U7dMuGP3i74W3GhcUfScYnbWWjZj5gbkjI/NbK20YHxstGqMr0yV2qG92Q4jevRv1DutW6TrvBy8LqxuesUDIvWwa442Uj5D5da2cD3e5jIS9H8M6jM19a1iPJzscfR48q/+Ef/2m+jCs+C7FScQMkiofxSgCp1ddBQLutFLMU7S9jvN5Q2L1N7dYdetR/O1NFNld5P3zR4gcMEAOIgabFwN/+3a+o0/lr+skf/+Syj+Ttjz76GXHar3/zGH2j578PM3+wlmAHjFedG9GJ8boabH8v+A5vNda5vSfa+I+bxg90y7YaeMvy5rthf/M33ZkB+kXGhskqnS0NsTLLpMo9MF5V0reVvfCjxhENT45od3WNtrrPo7cibUUm0/GoMUnE/3d0kv4Zx0sA7zgN/9taeTOZuHaekiI5ZxiPDSv7pqR/4tO6JcpzVUact6s865APjFcdWiFLw0KD689p8Pzh2HTtPx1PK5FVTs5+GK8cOJ6StHY20O0pIDKyBe8MMB53ZzHnu2HPnj2LTBebLzN0g+cNY3PGJi0+SN+jxNSss3SnHlyjnVp12xDCeNkIVZqeN51E+nitsdwzOjm8S+utNdpawHRxXjBe8gGgtbOBbtlYAW9Z3lxaUeZm8lYelG9MGP82jyX5TUrJT1HdkpqKlKVVt61uMF42QpWmmwlUN2j38AUNaUTDfhDNSL9+N6DT1AlUz+k0+JDWWyuUfUzxSsF4FWfl6kitnQ10u4qAYvmAdzFOLo+ahznf6TKPJeNTVnDfyo8leWLXvLnDXOifR7eLchfNQ6tuW71hvGyEqk6fWTJojbY6X08tGTSe12vylqOZryvrTcXkxKqW+sF4WQB5SNba2UC3h2DIyRK8c+B4SnLB3DyW5Alc42tKmvFhPoyYC92ekOZmq1V3bqWICMbLRqjh6TBe8gGgtbOBbtlYAW9Z3lyaD+bxucPi48N4m80Zjx3jYxb5+NC9iJ6i52rVbasfjJeNUMPTYbzkA0BrZwPdsrEC3rK8uTQJ5vzY0awrGTdiZoHveYyYhG4fraFVt40FjJeNUMPTYbzkA0BrZwPdsrEC3rK8ubQqmLswYlXodtE6WnXb6g7jZSPU8HQYL/kA0NrZQLdsrIC3LG8urQ7Ms4xY3hixOuiep7W06rbVFcbLRqjh6TBe8gGgtbOBbtlYAW9Z3lxaHZkXMWJYY1I+VvJKhPHKo4M0zONVQQzUsXMvggG6i1Bydwx4u2NZNCcNzLOMGP8TzfOKHQcBSc8jVpRv8jgNvJOai3yH8SpCqcHH4I6XfONr7WygWzZWwFuWN5emkTm/Efn5519Eb0jGp68wRqwOM+tntaRG3ll1ie+H8YrTwPYMARivGSTed2jtbKDbe2hMFQDeUzhEviwDczZiWRO68gSvrqawcNEgWnnb6g7jZSPU8HQYL/kA0NrZQLdsrIC3LG8ubRmZ88z6/OiRH0EmlziKD9iv4vGkVt62yITxshFqeDqMl3wAaO1soFs2VsBbljeX1hTmbLLS5hIzjyfZpEks/K2Vty0yYbxshBqeDuMlHwBaOxvolo0V8JblzaU1lTk/nuSJW3k8WHK9STOxq4/W0MrbxgLGy0ao4ekwXvIBoLWzgW7ZWAFvWd5cGpiPmScfT7IZW3RZo7TW1Mo7rS7xfTBecRrYniEA4zWDxPsOrZ0NdHsPjakCwHsKh8gXMBfBfFmIVt6XFcjYgPHKAIPdYwIwXvKRoLWzgW7ZWAFvWd5cGpjLMtfK20YJxstGqOHpMF7yAaC1s4Fu2VgBb1neXBqYyzLXyttGCcbLRqjh6TBe8gGgtbOBbtlYAW9Z3lwamMsy18rbRgnGy0ao4ekwXvIBoLWzgW7ZWAFvWd5cGpjLMtfK20YJxstGqOr00YDCLzu01VqJ1k1stzZotxtQODgvqOwNhd3b1N4JaFDwjPhhMF5xGjLbWjsb6JaJD1MKeBsScr/BXI41l6SVt40SjJeNUKXpIzrr7dN6a5v2ghMaEtFo8JQ+2Vyj9vYh9Uc2cWd0cniX1tm0wXjZYNUmXWtnA92yIQTesry5NDCXZa6Vt40SjJeNUKXpr6jXuZkwWW+pf3iH2q37dDy4yFQ3Gjyno84d2v3lQ9q7BuOVCaqGCVo7G+iWDSbwluXNpYG5LHOtVA/DeQAAFXlJREFUvG2UYLxshKpMvwjp4NoKrXd6dBbTcRF26UbrJu31XsX2xjdf0vHOBm3tP6XB+TgP3PGK86n3ttbOBrpl4wq8ZXlzaWAuy1wrbxslGC8boSrTz3q0t7pCN7ohxe9tjfqHdKt1nXaDlxnqzqgf/i56NEkT85ZnvHgcV94PBz9+wAAxgBhADCAGpGMg44+c6t0wXnVuvkFAu61Z40XR/jzjFatUAeMVO3pmE4PrZ5B438Edm8YPdMu2GnjL8ubSwFyWuVbeNkowXjZCVabDeM1NX/MFq1U7dM8drnOdCN5zYVvoJDBfCF/pk7XytlUUxstGqMr0uR81xkTjjlcMho5NrZ0NdMvGF3jL8ubSwFyWuVbeNkowXjZCVabPPbg+JhrGKwZDx6bWzga6ZeMLvGV5c2lgLstcK28bJRgvG6FK0/Omk7hDj/pv7epgvOyManaE1s4GumUDCbxleXNpYC7LXCtvGyUYLxuhStPNBKobtHv4goY0omE/oL3NNVq/G9CpdQJVoiJvNeZVEYPr8+j4SdPa2UC3n3jIyhW8s8j42w/m/tim5ayVd1pd4vtgvOI06rg9s2TQGm11vp5aMmg8r1fGW46441XHVs3VpLWzge7cZnWeCN7OkVozBHMrIqcHaOVtgwDjZSPU8HTc8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42Qg1Ph/GSDwCtnQ10y8YKeMvy5tLAXJa5Vt42SjBeNkINT4fxkg8ArZ0NdMvGCnjL8ubSwFyWuVbeNkowXjZCDU+H8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42Qg1Ph/GSDwCtnQ10y8YKeMvy5tLAXJa5Vt42SjBeNkINT4fxkg8ArZ0NdMvGCnjL8ubSwFyWuVbeNkowXjZCDU+H8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42Qg1Ph/GSDwCtnQ10y8YKeMvy5tLAXJa5Vt42SjBeNkINT4fxkg8ArZ0NdMvGCnjL8ubSwFyWuVbeNkowXjZCDU+H8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42Qg1Ph/GSDwCtnQ10y8YKeMvy5tLAXJa5Vt42SjBeNkINT4fxkg8ArZ0NdMvGCnjL8ubSwFyWuVbeNkowXjZCDU+H8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42Qg1Ph/GSDwCtnQ10y8YKeMvy5tLAXJa5Vt42SjBeNkINT4fxkg8ArZ0NdMvGCnjL8ubSwFyWuVbeNkowXjZCDU+H8ZIPAK2dDXTLxgp4y/Lm0sBclrlW3jZKMF42QlWnjwYUftmhrdYKsQlqtzZotxtQODjPUXZOg/Br2ttcm5yzQus7XToOBzTKOSstCcYrjYrffVo7G+j2GxfJ3ME7ScT/dzD3zzheglbe8TqkbcN4pVGpzb4RnfX2ab21TXvBCQ2JaDR4Sp+wodo+pH6Wizrr0d7qGm11AuoPR0SjU+rtb1O7dYce9d+Wqh2MVylcTg7W2tlAt5PmL5wJeBdG5exAMHeGslBGi/B++MVDev+99+jZs2eFypI8CMZLknbpsl5Rr3MzYbLeUv/wDrVb9+l4cJGSozFr0yZr1D+kW63rtBu8TDknexeMVzYbXymLdDa+NBXJF7qLUHJ3DHi7Y1k0JzAvSsrNcYvyZtPF5qtuBgzGy018+MnlIqSDayu03unRWayEi7BLN1o3aa/3KrbXbA4p7L5L7dV96p3Fboll5GXOyvoN45VFxt/+RTsbf8ryc4bufD6uU8HbNVF7fmBuZ+TyCFe862bAYLxcRonrvKJHhit0oxtS/N5W/t2ryV2ya10Kp046oUfba9TeCWhQQieMVwlYjg511dk4klM4G+gujMrJgeDtBGOpTMC8FK6FD3bNuy4GDMZr4dDwmMEgoN3WrPGiaH/WY8OXdLxzndpJ40WT/SnGi80VfsAAMYAYQAwgBpoUA99//73HP+DZWcN4ZbOpPkXIeOVVlC9CjR+tupm1Vu3QLXulgLcsb1ybunn/8MMPdBwE9KN33iEeeP/69Wv5Ck1KhPGqDH2BgvGosQCk9EO0/lHi2mjVDt3psehrL3j7IpudL5hns/GR4oJ3nQyXYQTjZUjU8XfGgHgMrrc3losL1l6KnyO0aoduP/GQlSt4Z5Hxtx/M/bFNy3kR3nU0XKaOMF6GRC1/500nMT1dxJX8vOkk1ujW4UmpSVQXCfwrTfJbWnUzKa3aoVs2zsFbljeuTV28vzo6qvyRYhYxGK8sMrXYb0zUBu0evqAhjWjYD6IZ6dfvBnQamy1iSu7kEeX6zhGd8ASqwxM67mxTe/VDOj7Nm/F+KpfoCzr3WSa+94C5b8LT+YP3NA/f37TyZi5atUO376gulz+MVzle8kfPLBnEM9J/PbVk0PjRY/wtx9klg9qbHTpq0JJBWjsaDjCt2qFbtnsAb1neuDbB2xUBGC9XJJc0H3Tu8g0L5rLMwRu8ixJArBQl5eY4rbxttYfxshFCOgiAAAiAAAiAAAg4IgDj5QgksgEBEAABEAABEAABGwEYLxshpIMACIAACIAACICAIwIwXo5AIhsQAAEQAAEQAAEQsBGA8bIRQjoIgAAIgAAIgAAIOCIA4+UI5FJlMzOFxQbtdoOpKSxqUd8iOifrXfLbMfGfG92QLiqrxGTB8oSm+MLmo8FzOuK518wxqx/QQRDSIGvuNu91ydBs9F0uyp5x3GW6d6HTBQyf08HmBu0GL6f3F4idatvgDYXd29ROLmpfQDdVGvMjGoYPaKt1n44H8SvsggbB/at4NnHTepcOwuG4bYrUbboVHX5L050Ry0b7ZUwXqJtDpVFWBVjZ43d22qH1nS4dzzHtUPHqFSizQN2qjfHitc06EsYri0xj95tJW7dpLzgh7hJHg6f0yeYatbcPqV/ZH/5kg0z+MK1+QA+eD2gUm1y2vfmAQp44lkxdsmb5T+Yp9D2a4DZvFYHJigWb+3TcPyOicxr0PqWtVt45Qtqnipm0QWubPumdjldEsNZtKgO/X4Yv6NHOBrVb8TnuuEgTF3kxXmUbnNHJ4V1a5z/wU8ar7jE/ouHJEe2u8j85SeOVtgpHvPmLtEn8eJfbebqT5aTEPNnqlsxj0e9F4qBA/E6u1a1OQH3uL0en1Nvnf/Z89ZfG3G7Q7i+ejf+JNJN7t27TQfiGiIrUzcSKL52Lto/9fBgvO6OGHZHWibyl/uGdlM60QjST2fmn71yZC/Im7fVeEdFE9+o+9c5q4xhp1D+kWy2jMYVhmnkZndCj7bXEH+KUcwV3jU4Dure6QuudHrE95I+1bpPj/P6a/Fe9fZ9++fd/RTdmjFeBGK+oDcZ3Ke7Q7i8f0t61hPGqc8xP7lLc2nlAv+r8eLavmMRvPFamY6BAm0yf4OabTXeilLSYJ2vdEpks+rVIHFjj1/SV0+ZlfP0m/1FZVLA5f9LGl3cKJ/sn9Ylio0jdatqvm1oW+Q3jVYRSk46Za2Hu+gCansV/cqFP3TWoWqvp8JJ3BK50pS+CPqSw+y61a2MiJ2ynlqGy1+2qlh63okdt47tw52F31ngViPFq2oAfbW3Q1v5TGpyHdJA0XhnIqo/5yaO2zU+pN3g9jtPkHa/oD2rOH/QCbZJR/QV2F9A9lXtazBORrW5Tefj7Eo8De/yepfcnGe3gTzURTcqcvrs7XWK8bmTuMNaqX5/Wa/sG42Uj1LT01P84zJ2MnI6zFpzMnbnJuBHTifzFB/SX0eMPfgSyTXtfPq9wrJQxUO/T7l/wYzDWFF8GypiX2NiXiK2pW7Zhk2yC8X/Ga7TVfR49jh6XbaubkMLh7yiMHtFyn55ivKwx/h901tun9fj4I5E2OKN++LsxzwJ/jMY0TVxUGfO8huz/Hj+uokkMJIzXuB026C933h8/QuW4jy9jZm2TxBg9J6Fk1x0vJj3mTYzl1C2eibfteBycFYjfAfU6Nyk+rjSSVsGd9THXFZp+ehEHFa/b8NKordeqX4/rtW/DeNkZNeuIycDcmYsg2l9z4xUNpL4ai2Yu6MvFwrklo3E/NxOGQbCJTce2epcenZgHdJMxPdHYtPPJIOSk8TIDeOtgvMw4l+nHFOaRSzuzbvKPe1ONlzXGf199GxQ1XrWL+TTjZf5wbtDu4YuJUTfjqiZje6xt4sN4xa/7NN3x9IyYN4+9Wjl1i2fja3sqDkxfkdeH/J6Od67PGi+avFAgdjcpi2sM1FTdzE2AFapVvx6TW2QTxqsIpSYdU3kHOC9sMyjzQzo+Pc/JxHRKCdOQc4ZIUsSdB8+/oNPo7a+8TjP+tpiIuulCJncnCr9scVm3k/EA/OncvH5bbuNVx5i3GZh4c0/+yPNLO98HtNtKuesRxY7EP3wW3WVj3hgYkReSknFg+ri8PqQOxutqsP294LuMviFZt3j8xLdNnWvWr8clxrZhvGIwsGnGK8x2gOO7RxId4DytYN4CM2/G5OVhLtBkp5R3jkDapeF9Tq8recxVvI5jM1PiDcvLuslP4ZFqvKyPtap61BhrA+sdr7rGvMXAxKpIxpzwYOvXPdpbrbLfydddOubjdfP6f1JaHBQZrlD1o0ZzxzM5XCEeIGl1i6fHt2var8clxrZhvGIwsHk10DH59tG448l5E68qeKMB/fsvPqD1+JQGuVpqeoHGzMnbaFxSkvXkD0Plg+vNY6MS/1nG6ub1b1BKu6caLzP2L/Y2Jp8aj/H49lW2gm2QZ7xqHfP5BuaKJW9N7nix8Xo7fpmgun4nT/ccMR+vm6+gz4kDe/xWObj+nAbPH9Lu6tr4RZK0EQg5dZuOIfOtpv26kZf4DeOVAIKvkzd3pm6Rz9PxCJC8nKcpNo/UZbHmv76kgZnUpSoDM7nbkvwDM76jONEaHZO4o2TGhk21y2VlBTdifyyTf1CK1E1QKReVarzMW1FTLBMxXnUbZBmv2sd8moExbwMmpnWZmoah6n4nTbcJ1pyYN7GU7E+m6mbycfg7Nw7Mk4u8PsT0j9P/QI37ocR5DmUTmbtYOaYrt25Gd8369ZKMYLxKAlv+w01gm8Gi/OZPQHuba7R+N6DTtP9OqoAy+o6O7/JbgRuUOT5gMigzPghzPBnszexzvNfFjFmIDa6fTFx4xdf8oTLHnFE/2KetvLp61z0pIMsQRMlF6iYldFxOuvEqEuMVt0EaZxUxn2ZgrsbyXA2un0wKfDkdSZE28Rk7abon5aW1xaWUInW7PNjNRpE4uDSEOX2I+Udp54hOeAJVM5npZZu4kXuVyzmdBh9Gb7Ve9XVXqdFWkbrVsl9P1MPyFcbLAqiRyTNLNsSnO6gHkfEf1OllgC6X14kN0h0NQjru8qPIybG89M7TfmwKhArqw3yD7mSGb9bFSzI9nryOP9Yzs9xH5dNgTDhN/ggl79hdUixQt8tjBTbSjVe0HAOFX3Zoy8TF1JQeY2GVtkHKH3sdMZ9lYHhS24AOopUExtfi+s4D+mYy7UdEvNJ+J0t39vCLq/AtULergxfeKh4HiWXHZvqQ2eV7pqb4WFhpIgMT05fXXKL/vtal//U/efqXxP7Yd/O2fS379UR1877CeOXRQRoIgAAIgAAIgAAIOCQA4+UQJrICARAAARAAARAAgTwCMF55dJAGAiAAAiAAAiAAAg4JwHg5hImsQAAEQAAEQAAEQCCPAIxXHh2kgQAIgAAIgAAIgIBDAjBeDmEiKxAAARAAARAAARDIIwDjlUcHaSAAAiAAAiAAAiDgkACMl0OYyAoEQAAEQAAEQAAE8gjAeOXRQRoIgAAIgAAIgAAIOCQA4+UQJrICARBYZgK8fNZjOuj+mgZRNfPW8BPgEK0H+GPa670SKAxFgAAIuCIA4+WKJPIBARBYcgITo7UTTIxXtdWNFjROLs5crSSUDgIgUIAAjFcBSDgEBEAABIjqZLwmi0pvH1K/LgvXI0RAAAQKEYDxKoQJB4EACDSawMwCv+/SQfh/6HjnOrWvdSm8IKJBQLvRYtufxxaD3qDdX/wb9U8ex/Zt015wcrVQe3Jx6EILub+iXufHdOvwhFJ9VzLPlIXYG92eqDwIVEgAxqtC+CgaBEBAE4HkHa/EGK/IeK1Qu7VNn/ROaURvKOzepnZrhdqrH9CD5wMajU6pt79N7dYdetR/S2SOMel0ToPep7TV2qB7wXfppoqRnfVob9XkkWT4lvqHd6jduk0H4RsiGtHw5Ih2V1dovdOjs+Th+A4CICBKAMZLFDcKAwEQ0EugmPGKm5toHFZr2vBchF260bpOu8FLGqevJe5c8d2sm9TOGb+VP75rojPnfL1tAOUgoJ8AjJf+NkQNQAAERAgUM143uiHxk8foE90FG5sss+vKeP2eBsF9arf4seXQJBPRRcZ+c8j4jlbc4JmU8e9zOg0+pHU2fDtd+ufgt9Qfpj6QnD4N30AABEQIwHiJYEYhIAAC+gm4Nl79ySNBfjyZ9pM0ZBOChaaROKN+L6BHHX6sOc6bTdhxOMh+fKm/gVADEFBBAMZLRTNBJAiAQPUEXBsvc8cra6xWRo1zx3elncMm7JD2NtdyH1+mnYl9IAAC7gnAeLlnihxBAASWkoBr45U1xssMjk8zZPNOI2EeX6bluZSNhUqBQG0JwHjVtmkgDARAoF4EJsaLp4948x31B/83ZTqJFSo+xusl0eg7Or67cfXWI7/V+Pwh7a6u0Vb3+dWUE5cgLNNI8HEmz819Ou5P3mEcvqBHOxvU3nxAIcZ7XdLEBghUQQDGqwrqKBMEQEAhAWOKeMzUTdrrhYsbL6YwM+fWNu19+ZwGaePhC43v4ixDOu5+EA2wH4/xWqOtztcUDs4VcodkEFguAjBey9WeqA0IgAAIgAAIgECNCcB41bhxIA0EQAAEQAAEQGC5CMB4LVd7ojYgAAIgAAIgAAI1JgDjVePGgTQQAAEQAAEQAIHlIgDjtVztidqAAAiAAAiAAAjUmACMV40bB9JAAARAAARAAASWiwCM13K1J2oDAiAAAiAAAiBQYwIwXjVuHEgDARAAARAAARBYLgIwXsvVnqgNCIAACIAACIBAjQnAeNW4cSANBEAABEAABEBguQjAeC1Xe6I2IAACIAACIAACNSYA41XjxoE0EAABEAABEACB5SIA47Vc7YnagAAIgAAIgAAI1JgAjFeNGwfSQAAEQAAEQAAElosAjNdytSdqAwIgAAIgAAIgUGMCMF41bhxIAwEQAAEQAAEQWC4CMF7L1Z6oDQiAAAiAAAiAQI0JwHjVuHEgDQRAAARAAARAYLkIwHgtV3uiNiAAAiAAAiAAAjUmAONV48aBNBAAARAAARAAgeUi8P8BZTvAc/VevBYAAAAASUVORK5CYII=\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"576\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what is meant by binding energy of a nucleus.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why quantities such as atomic mass and nuclear binding energy are often expressed in non-SI units.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the energy released in the reaction is about <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>180</mn><mo> </mo><mi>MeV</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate, in <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>kg</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math>, the specific energy of U-235.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The power station has a useful power output of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>2</mn><mo> </mo><mi>GW</mi></math> and an efficiency of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>36</mn><mo> </mo><mo>%</mo></math>. Determine the mass of U-235 that undergoes fission in one day.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The specific energy of fossil fuel is typically <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>30</mn><mo> </mo><mtext>MJ</mtext><mo> </mo><msup><mtext>kg</mtext><mrow><mo>–</mo><mn>1</mn></mrow></msup></math>. Suggest, with reference to your answer to (b)(i), <strong>one</strong> advantage of U-235 compared with fossil fuels in a power station.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Write down the proton number of nuclide X.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the half-life of Sr-94.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the mass of Sr-94 remaining in the sample after <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>10</mn></math> minutes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">energy required to </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">completely</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">separate the nucleons<br/></span><span class=\"fontstyle3\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">energy released when a nucleus is formed from its constituent nucleons </span><span class=\"fontstyle4\">✓</span></p>\n<p><em><span class=\"fontstyle5\"><br/>Allow protons </span><span class=\"fontstyle3\"><strong>AND</strong> </span><span class=\"fontstyle5\">neutrons.</span></em></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">the values </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">in SI units</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">would be very small </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle3\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>140</mn><mo>×</mo><mn>8</mn><mo>.</mo><mn>29</mn><mo>+</mo><mn>94</mn><mo>×</mo><mn>8</mn><mo>.</mo><mn>59</mn><mo>-</mo><mn>235</mn><mo>×</mo><mn>7</mn><mo>.</mo><mn>59</mn></math> <em><strong>OR </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>184</mn><mo> </mo><mo>«</mo><mi>MeV</mi><mo>»</mo></math> ✓</span></p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle3\">see <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mi>energy</mi><mo>=</mo><mo>»</mo><mo> </mo><mn>180</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup><mo>×</mo><mn>1</mn><mo>.</mo><mn>60</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup></math> <em><strong>AND</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mi>mass</mi><mo>=</mo><mo>»</mo><mo> </mo><mn>235</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>66</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>27</mn></mrow></msup></math> ✓</span></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>7</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>13</mn></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>kg</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✓</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">energy produced in one day<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo> </mo><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup><mo>×</mo><mn>24</mn><mo>×</mo><mn>3600</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>36</mn></mrow></mfrac><mo>=</mo><mn>2</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>14</mn></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">J</mi><mo>»</mo></math> ✓</span></p>\n<p><span class=\"fontstyle0\">mass<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo> </mo><mo>=</mo><mfrac><mrow><mn>2</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>14</mn></msup></mrow><mrow><mn>7</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>13</mn></msup></mrow></mfrac><mo>=</mo><mn>3</mn><mo>.</mo><mn>9</mn><mo> </mo><mo>«</mo><mi>kg</mi><mo>»</mo></math> ✓</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«specific energy of uranium is much greater than that of coal, hence» more energy can be produced from the same mass of fuel / per <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>kg</mtext></math><br/><em><strong>OR</strong></em><br/>less fuel can be used to create the same amount of energy ✓</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>39</mn></math> </span><span class=\"fontstyle2\">✓</span></p>\n<p><em><span class=\"fontstyle3\"><br/>Do not allow <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mmultiscripts><mi mathvariant=\"normal\">X</mi><mprescripts></mprescripts><mn>39</mn><mn>94</mn></mmultiscripts></math> unless the proton number is indicated.</span></em></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>75</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">s</mi><mo>»</mo></math> <span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em></p>\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>10</mn><mo> </mo><mi>min</mi></math><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>8</mn><mo> </mo><msub><mi>t</mi><mrow><mn>1</mn><mo>/</mo><mn>2</mn></mrow></msub></math> ✓</span></p>\n<p><span class=\"fontstyle0\">mass remaining<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mfenced><mfrac><mn>1</mn><mn>2</mn></mfrac></mfenced><mn>8</mn></msup><mo>=</mo><mn>3</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>kg</mi><mo>»</mo></math> ✓</span></p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em></p>\n<p><span class=\"fontstyle0\">decay constant<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo> </mo><mo>=</mo><mo>«</mo><mfrac><mrow><mi>ln</mi><mn>2</mn></mrow><mn>75</mn></mfrac><mo>=</mo><mo>»</mo><mn>9</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mo>«</mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✓</span></p>\n<p><span class=\"fontstyle0\">mass remaining<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo> </mo><mo>=</mo><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mi>e</mi><mrow><mo>-</mo><mn>9</mn><mo>.</mo><mn>24</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>600</mn></mrow></msup><mo>=</mo><mn>3</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mo>«</mo><mi>kg</mi><mo>»</mo></math> ✓</span></p>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally, well answered but candidates did miss the mark by discussing the constituents of a nucleus rather than the nucleons, or protons and neutrons. There seemed to be fewer comments than usual about 'the energy required to bind the nucleus together'. </p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered with some candidates describing the values as too large or small.</p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This caused problems for some with mass often correctly calculated but energy causing more difficulty with the eV conversion either being inaccurate or omitted. Candidates were allowed error carried forward for the second mark as long as they were dividing an energy by a mass.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates had the right idea, but common problems included forgetting the efficiency or not converting to days.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>HL only. This was well answered.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates answered this correctly.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates answered this correctly.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was answered well with most candidates (even at HL) going down the number of half-lives route rather than the exponential calculation route.</p>\n<div class=\"question_part_label\">c(iii).</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p>A vertical solid cylinder of uniform cross-sectional area <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi></math> floats in water. The cylinder is partially submerged. When the cylinder floats at rest, a mark is aligned with the water surface. The cylinder is pushed vertically downwards so that the mark is a distance <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi></math> below the water surface.</p>\n<p style=\"text-align: center;\"><img height=\"210\" src=\"data:image/png;base64,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\" width=\"509\"/></p>\n<p style=\"text-align: left;\">At time <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mn>0</mn></math> the cylinder is released. The resultant vertical force <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi></math> on the cylinder is related to the displacement <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi></math> of the mark by</p>\n<p style=\"text-align: center;\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mo>-</mo><mi>ρ</mi><mi>A</mi><mi>g</mi><mi>x</mi></math></p>\n<p style=\"text-align: left;\">where <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ρ</mi></math> is the density of water.</p>\n</div><div class=\"specification\">\n<p>The cylinder was initially pushed down a distance <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>250</mn><mo> </mo><mi mathvariant=\"normal\">m</mi></math>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why the cylinder performs simple harmonic motion when released.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The mass of the cylinder is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>118</mn><mo> </mo><mi>kg</mi></math> and the cross-sectional area of the cylinder is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mo>.</mo><mn>29</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">m</mi><mn>2</mn></msup></math>. The density of water is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>03</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo> </mo><mi>kg</mi><mo> </mo><msup><mi mathvariant=\"normal\">m</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></math>. Show that the angular frequency of oscillation of the cylinder is about <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mo>.</mo><mn>4</mn><mo> </mo><mo> </mo><mi>rad</mi><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the maximum kinetic energy <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>E</mi><mi>kmax</mi></msub></math> of the cylinder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw, on the axes, the graph to show how the kinetic energy of the cylinder varies with time during <strong>one</strong> period of oscillation <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math>.</p>\n<p><img height=\"371\" 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\" style=\"display: block;margin-left:auto;margin-right:auto;\" width=\"610\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">the </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">restoring</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">force/acceleration is proportional to displacement </span><span class=\"fontstyle3\">✓ </span></p>\n<p><em><span class=\"fontstyle4\"><br/>Allow use of symbols i.e. </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>∝</mo><mo>-</mo><mi>x</mi></math><span class=\"fontstyle4\"> or </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>a</mi><mo>∝</mo><mo>-</mo><mi>x</mi></math></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">Evidence of equating <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><msup><mi>ω</mi><mn>2</mn></msup><mi>x</mi><mo>=</mo><mi>ρ</mi><mi>A</mi><mi>g</mi><mi>x</mi></math> «to obtain <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>ρ</mi><mi>A</mi><mi>g</mi></mrow><mi>m</mi></mfrac><mo>=</mo><msup><mi>ω</mi><mn>2</mn></msup></math>» ✓</span></p>\n<p> </p>\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ω</mi><mo>=</mo><msqrt><mfrac><mrow><mn>1</mn><mo>.</mo><mn>03</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>×</mo><mn>2</mn><mo>.</mo><mn>29</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>×</mo><mn>9</mn><mo>.</mo><mn>81</mn></mrow><mn>118</mn></mfrac></msqrt></math> <em><strong>OR </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mo>.</mo><mn>43</mn><mo>«</mo><mi>rad</mi><mo> </mo><msup><mi mathvariant=\"normal\">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle0\">Answer to at least <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn mathvariant=\"italic\">3</mn></math> s.f.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>E</mi><mi mathvariant=\"normal\">K</mi></msub></math> </span><span class=\"fontstyle1\">is a maximum when <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi><mo>=</mo><mn>0</mn></math> hence</span><span class=\"fontstyle0\">» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>E</mi><mrow><mi mathvariant=\"normal\">K</mi><mo>,</mo><mo> </mo><mi>max</mi></mrow></msub><mo>=</mo><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>118</mn><mo>×</mo><mn>4</mn><mo>.</mo><msup><mn>4</mn><mn>2</mn></msup><mfenced><mrow><mn>0</mn><mo>.</mo><msup><mn>250</mn><mn>2</mn></msup><mo>-</mo><msup><mn>0</mn><mn>2</mn></msup></mrow></mfenced></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>71</mn><mo>.</mo><mn>4</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">J</mi><mo>»</mo></math> <span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">energy never negative </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\">correct shape with two maxima </span><span class=\"fontstyle2\">✓</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered with candidates gaining credit for answers in words or symbols.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Again, very well answered.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A straightforward calculation with the most common mistake being missing the squared on the omega.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates answered with a graph that was only positive so scored the first mark.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "c-1-simple-harmonic-motion"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.8",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows the electric field lines of a positively charged conducting sphere of radius <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi></math> and charge <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi></math>.</p>\n<p><img height=\"213\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"352\"/></p>\n<p>Points A and B are located on the same field line.</p>\n</div><div class=\"specification\">\n<p>A proton is placed at A and released from rest. The magnitude of the work done by the electric field in moving the proton from A to B is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>16</mn></mrow></msup><mo> </mo><mi mathvariant=\"normal\">J</mi></math>. Point A is at a distance of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo> </mo><mi mathvariant=\"normal\">m</mi></math> from the centre of the sphere. Point B is at a distance of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><mi mathvariant=\"normal\">m</mi></math> from the centre of the sphere.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the electric potential decreases from A to B.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw, on the axes, the variation of electric potential <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> with distance <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>r</mi></math> from the centre of the sphere.</p>\n<p><img height=\"236\" src=\"data:image/png;base64,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\" style=\"display: block;margin-left:auto;margin-right:auto;\" width=\"336\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the electric potential difference between points A and B.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the charge <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi></math> of the sphere.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The concept of potential is also used in the context of gravitational fields. Suggest why scientists developed a common terminology to describe different types of fields.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><em><strong>ALTERNATIVE 1</strong></em><br/></span><span class=\"fontstyle2\">work done on moving a positive test charge in any outward direction is negative </span><span class=\"fontstyle3\">✓<br/></span><span class=\"fontstyle2\">potential difference is proportional to this work </span><span class=\"fontstyle4\">«</span><span class=\"fontstyle2\">so </span><span class=\"fontstyle5\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> </span><span class=\"fontstyle2\">decreases from A to B</span><span class=\"fontstyle4\">» </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><span class=\"fontstyle0\"><em><strong>ALTERNATIVE 2</strong></em><br/></span><span class=\"fontstyle2\">potential gradient is directed opposite to the field so inwards </span><span class=\"fontstyle3\">✓<br/></span><span class=\"fontstyle2\">the gradient indicates the direction of increase of </span><span class=\"fontstyle4\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> </span><span class=\"fontstyle5\">«</span><span class=\"fontstyle2\">hence </span><span class=\"fontstyle4\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> </span><span class=\"fontstyle2\">increases towards the centre/decreases from A to B</span><span class=\"fontstyle5\">» </span><span class=\"fontstyle3\">✓</span></p>\n<p> </p>\n<p><span class=\"fontstyle0\"><em><strong>ALTERNATIVE 3</strong></em><br/></span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi><mo>=</mo><mfrac><mrow><mi>k</mi><mi>Q</mi></mrow><mi>R</mi></mfrac></math> </span><span class=\"fontstyle3\">so as </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>r</mi></math> </span><span class=\"fontstyle3\">increases </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> </span><span class=\"fontstyle3\">decreases </span><span class=\"fontstyle4\">✓<br/></span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> </span><span class=\"fontstyle3\">is positive as </span><span class=\"fontstyle2\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi></math> </span><span class=\"fontstyle3\">is positive </span><span class=\"fontstyle4\">✓</span></p>\n<p><span class=\"fontstyle2\"> </span></p>\n<p><span class=\"fontstyle0\"><em><strong>ALTERNATIVE 4</strong></em><br/></span><span class=\"fontstyle2\">the work done per unit charge in bringing a positive charge from infinity </span><span class=\"fontstyle3\">✓<br/></span><span class=\"fontstyle2\">to point B is less than point A </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">curve decreasing asymptotically for <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>r</mi><mo>&gt;</mo><mi>R</mi></math> </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\">non <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>-</mo></math> zero constant between <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn></math> and </span><span class=\"fontstyle3\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi></math> </span><span class=\"fontstyle2\">✓</span></p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mi>W</mi><mi>q</mi></mfrac><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>16</mn></mrow></msup></mrow><mrow><mn>1</mn><mo>.</mo><mn>60</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>1</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">V</mi><mo>»</mo></math> <span class=\"fontstyle0\">✓</span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>8</mn><mo>.</mo><mn>99</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup><mo>×</mo><mi>Q</mi><mo>×</mo><mfenced><mrow><mfrac><mn>1</mn><mrow><mn>5</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup></mrow></mfrac><mo>-</mo><mfrac><mn>1</mn><mrow><mn>1</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow></mfrac></mrow></mfenced><mo>=</mo><mn>1</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></math> ✓</span></p>\n<p><span class=\"fontstyle0\"><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>8</mn></mrow></msup><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">C</mi><mo>»</mo></math> ✓</span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">to highlight similarities between </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">different</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">fields </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>The majority who answered in terms of potential gained one mark. Often the answers were in terms of work done rather than work done per unit charge or missed the fact that the potential is positive.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most didn't realise that the key to the answer is the definition of potential or potential difference and tried to answer using one of the formulae in the data booklet, but incorrectly.</p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Even though many were able to choose the appropriate formula from the data booklet they were often hampered in their use of the formula by incorrect techniques when using fractions.</p>\n<div class=\"question_part_label\">c(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered with only a small number of answers suggesting greater international cooperation.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields",
+      "nature-of-science"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "20N.2.HL.TZ0.9",
+    "Question": "<div class=\"specification\">\n<p>The diagram shows an alternating current generator with a rectangular coil rotating at a constant frequency in a uniform magnetic field.</p>\n<p><img height=\"199\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"506\"/></p>\n</div><div class=\"specification\">\n<p>The graph shows how the generator output voltage <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> varies with time <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi></math>.</p>\n<p><img height=\"382\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"520\"/></p>\n<p>Electrical power produced by the generator is delivered to a consumer some distance away.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain, by reference to Faraday’s law of induction, how an electromotive force (emf) is induced in the coil.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The average power output of the generator is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>8</mn><mo>.</mo><mn>5</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup><mo> </mo><mi mathvariant=\"normal\">W</mi></math>. Calculate the root mean square (rms) value of the generator output current.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The voltage output from the generator is stepped up before transmission to the consumer. Estimate the factor by which voltage has to be stepped up in order to reduce power loss in the transmission line by a factor of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mo>.</mo><mn>5</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The frequency of the generator is doubled with no other changes being made. Draw, on the axes, the variation with time of the voltage output of the generator.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">there is a magnetic flux </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">linkage</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">in the coil / coil cuts magnetic field </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle0\">this flux </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">linkage</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">changes as the angle varies/coil rotates </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">Faraday’s law</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">connects induced emf with rate of change of flux </span><span class=\"fontstyle2\">«</span><span class=\"fontstyle0\">linkage</span><span class=\"fontstyle2\">» </span><span class=\"fontstyle0\">with time </span><span class=\"fontstyle3\">✓</span></p>\n<p><em><span class=\"fontstyle4\"><br/>Do not award MP2 or 3 for answers that don’t discuss flux.</span></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>V</mi><mi>rms</mi></msub><mo>=</mo><mfrac><mrow><mn>25</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow><msqrt><mn>2</mn></msqrt></mfrac><mo>«</mo><mo>=</mo><mn>17</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo> </mo><mo> </mo><mi mathvariant=\"normal\">V</mi><mo>»</mo></math> ✓</span></p>\n<p> </p>\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>I</mi><mi>rms</mi></msub><mo>=</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>5</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup></mrow><mrow><mn>17</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow></mfrac><mo>=</mo><mn>48</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">A</mi><mo>»</mo></math> ✓</span></p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«</span><span class=\"fontstyle1\">power loss proportional to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>I</mi><mn>2</mn></msup></math> hence the step-up factor is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mn>2</mn><mo>.</mo><mn>5</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></msqrt><mo>»</mo><mo> </mo><mn>16</mn></math> </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">peak emf doubles </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle3\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> </span><span class=\"fontstyle0\">halves </span><span class=\"fontstyle2\">✓</span></p>\n<p><em><span class=\"fontstyle3\"><br/>Must show at least 1 cycle.</span></em></p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This question was well answered with the majority discussing changes in flux rather than wires cutting field lines, which was good to see.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Generally well answered.</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was well answered by many, but some candidates left the answer as a surd. The most common guess here involved the use of root 2.</p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Well answered, with the majority of candidates scoring at least 1 mark.</p>\n<div class=\"question_part_label\">b(iii).</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics",
+      "d-4-induction"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.1",
+    "Question": "<div class=\"specification\">\n<p>A company delivers packages to customers using a small unmanned aircraft. Rotating horizontal blades exert a force on the surrounding air. The air above the aircraft is initially stationary.</p>\n<p><img height=\"179\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"319\"/></p>\n<p>The air is propelled vertically downwards with speed <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi></math>. The aircraft hovers motionless above the ground. A package is suspended from the aircraft on a string. The mass of the aircraft is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>95</mn><mtext> kg</mtext></math> and the combined mass of the package and string is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>45</mn><mo> </mo><mi>kg</mi></math>. The mass of air pushed downwards by the blades in one second is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>7</mn><mo> </mo><mi>kg</mi></math>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the value of the resultant force on the aircraft when hovering.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, by reference to Newton’s third law, how the upward lift force on the aircraft is achieved.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi></math>. State your answer to an appropriate number of significant figures.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The package and string are now released and fall to the ground. The lift force on the aircraft remains unchanged. Calculate the initial acceleration of the aircraft.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">zero </span><span class=\"fontstyle2\">✓</span></p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">Blades exert a downward force on the air </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\"><br/>air exerts an equal and opposite force on the blades </span><span class=\"fontstyle3\">«</span><span class=\"fontstyle0\">by Newton’s third law</span><span class=\"fontstyle3\">»<br/></span><span class=\"fontstyle4\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">air exerts a reaction force on the blades </span><span class=\"fontstyle3\">«</span><span class=\"fontstyle0\">by Newton’s third law</span><span class=\"fontstyle3\">» </span><span class=\"fontstyle2\">✓</span></p>\n<p><em><span class=\"fontstyle5\"><br/>Downward direction required for </span><strong><span class=\"fontstyle4\">MP1</span></strong></em><span class=\"fontstyle4\">.</span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«</span><span class=\"fontstyle1\">lift force/change of momentum in one second</span><span class=\"fontstyle0\">» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>1</mn><mo>.</mo><mn>7</mn><mi>v</mi></math> </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle3\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>7</mn><mi>v</mi><mo>=</mo><mfenced><mrow><mn>0</mn><mo>.</mo><mn>95</mn><mo>+</mo><mn>0</mn><mo>.</mo><mn>45</mn></mrow></mfenced><mo>×</mo><mn>9</mn><mo>.</mo><mn>81</mn></math> ✓</span></p>\n<p><span class=\"fontstyle4\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><mn>8</mn><mo>.</mo><mn>1</mn><mo>«</mo><msup><mi>ms</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <em><strong>AND </strong></em></span><span class=\"fontstyle1\">answer expressed to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn></math> sf only </span><span class=\"fontstyle3\">✓</span></p>\n<p><span class=\"fontstyle5\">Allow <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn mathvariant=\"italic\">8</mn><mo mathvariant=\"italic\">.</mo><mn mathvariant=\"italic\">2</mn></math> from </span><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>g</mi><mo mathvariant=\"italic\">=</mo><mn mathvariant=\"italic\">10</mn><mo mathvariant=\"italic\"> </mo><mi>m</mi><msup><mi>s</mi><mrow><mo mathvariant=\"italic\">-</mo><mn mathvariant=\"italic\">2</mn></mrow></msup></math>.</p>\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">vertical force = lift force – weight </span><span class=\"fontstyle2\"><em><strong>OR</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>0</mn><mo>.</mo><mn>45</mn><mo>×</mo><mn>9</mn><mo>.</mo><mn>81</mn></math> <em><strong>OR</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>4</mn><mo>.</mo><mn>4</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">N</mi><mo>»</mo><mo> </mo></math></span><span class=\"fontstyle4\">✓</span></p>\n<p><span class=\"fontstyle0\">acceleration<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>45</mn><mo>×</mo><mn>9</mn><mo>.</mo><mn>81</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>95</mn></mrow></mfrac><mo>=</mo><mn>4</mn><mo>.</mo><mn>6</mn><mo> </mo><mo>«</mo><msup><mi>ms</mi><mrow><mo>-</mo><mn>2</mn></mrow></msup><mo>»</mo><mo> </mo></math></span><span class=\"fontstyle4\">✓</span></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(iii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the terminal velocity of the sphere.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(i))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the force exerted by the spring on the sphere when the sphere is at rest.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  radius of sphere\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    012\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    m\n   </mi>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  weight of sphere\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mi>\n    π\n   </mi>\n   <mi>\n    η\n   </mi>\n   <mi>\n    r\n   </mi>\n   <mi>\n    v\n   </mi>\n   <mo>\n    +\n   </mo>\n   <mi>\n    ρ\n   </mi>\n   <mi>\n    V\n   </mi>\n   <mi>\n    g\n   </mi>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        26\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          2\n         </mn>\n        </mrow>\n       </msup>\n       <mo>\n        -\n       </mo>\n       <mn>\n        915\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        7\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        24\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          6\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      81\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      37\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    84\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    m\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi mathvariant=\"normal\">\n     s\n    </mi>\n    <mrow>\n     <mo>\n      –\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    »\n   </mo>\n   <mo>\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Accept use of\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      g\n     </mi>\n     <mo mathvariant=\"italic\">\n      =\n     </mo>\n     <mn mathvariant=\"italic\">\n      10\n     </mn>\n    </math>\n    leading to\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      v\n     </mi>\n     <mo mathvariant=\"italic\">\n      =\n     </mo>\n     <mn mathvariant=\"italic\">\n      7\n     </mn>\n     <mo mathvariant=\"italic\">\n      .\n     </mo>\n     <mn mathvariant=\"italic\">\n      0\n     </mn>\n     <mo mathvariant=\"italic\">\n     </mo>\n     <mo>\n      «\n     </mo>\n     <mi mathvariant=\"normal\">\n      m\n     </mi>\n     <mo>\n     </mo>\n     <msup>\n      <mi mathvariant=\"normal\">\n       s\n      </mi>\n      <mrow>\n       <mo>\n        –\n       </mo>\n       <mn>\n        1\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      »\n     </mo>\n    </math>\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Allow implicit calculation of radius for MP1\n   </span>\n  </em>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Do not allow ECF for MP3 if buoyant force omitted.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    F\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mi>\n    g\n   </mi>\n   <mo>\n    -\n   </mo>\n   <mi>\n    ρ\n   </mi>\n   <mi>\n    V\n   </mi>\n   <mi>\n    g\n   </mi>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      F\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mfenced>\n      <mrow>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        0126\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        9\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        81\n       </mn>\n      </mrow>\n     </mfenced>\n     <mo>\n      -\n     </mo>\n     <mfenced>\n      <mrow>\n       <mn>\n        915\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        7\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        24\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          6\n         </mn>\n        </mrow>\n       </msup>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        9\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        81\n       </mn>\n      </mrow>\n     </mfenced>\n    </math>\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <span class=\"fontstyle0\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     F\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mn>\n     5\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     86\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <msup>\n     <mn>\n      10\n     </mn>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       2\n      </mn>\n     </mrow>\n    </msup>\n    <mo>\n    </mo>\n    <mo>\n     «\n    </mo>\n    <mi mathvariant=\"normal\">\n     N\n    </mi>\n    <mo>\n     »\n    </mo>\n   </math>\n   ✓\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Accept use of\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      g\n     </mi>\n     <mo mathvariant=\"italic\">\n      =\n     </mo>\n     <mn mathvariant=\"italic\">\n      10\n     </mn>\n    </math>\n    leading to\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      F\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mn mathvariant=\"italic\">\n      6\n     </mn>\n     <mo mathvariant=\"italic\">\n      .\n     </mo>\n     <mn mathvariant=\"italic\">\n      0\n     </mn>\n     <mo mathvariant=\"italic\">\n      ×\n     </mo>\n     <msup>\n      <mn mathvariant=\"italic\">\n       10\n      </mn>\n      <mrow>\n       <mo mathvariant=\"italic\">\n        -\n       </mo>\n       <mn mathvariant=\"italic\">\n        2\n       </mn>\n      </mrow>\n     </msup>\n     <mo mathvariant=\"italic\">\n     </mo>\n     <mi>\n      N\n     </mi>\n    </math>\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Only those candidates who forgot to include the buoyant force missed marks here.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(i))\n </div><div class=\"card-body\">\n <p>\n  Continuing from b, most candidates scored full marks.\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the apparent brightness\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     b\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mfrac>\n     <mrow>\n      <mi>\n       A\n      </mi>\n      <msup>\n       <mi>\n        T\n       </mi>\n       <mn>\n        4\n       </mn>\n      </msup>\n     </mrow>\n     <msup>\n      <mi>\n       d\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mfrac>\n   </math>\n   , where\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     d\n    </mi>\n   </math>\n   is the distance of the object from Earth,\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     T\n    </mi>\n   </math>\n   is the surface temperature of the object and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     A\n    </mi>\n   </math>\n   is the surface area of the object.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Two of the brightest objects in the night sky seen from Earth are the planet Venus and the star Sirius. Explain why the equation\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     b\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mfrac>\n     <mrow>\n      <mi>\n       A\n      </mi>\n      <msup>\n       <mi>\n        T\n       </mi>\n       <mn>\n        4\n       </mn>\n      </msup>\n     </mrow>\n     <msup>\n      <mi>\n       d\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mfrac>\n   </math>\n   is applicable to Sirius but not to Venus.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  substitution of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    L\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    σ\n   </mi>\n   <mi>\n    A\n   </mi>\n   <msup>\n    <mi>\n     T\n    </mi>\n    <mn>\n     4\n    </mn>\n   </msup>\n  </math>\n  into\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    b\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     L\n    </mi>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <msup>\n      <mi>\n       πd\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  giving\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    b\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      σ\n     </mi>\n     <mi>\n      A\n     </mi>\n     <msup>\n      <mi>\n       T\n      </mi>\n      <mn>\n       4\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <msup>\n      <mi>\n       πd\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Removal of constants\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      σ\n     </mi>\n    </math>\n    and\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn>\n      4\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n    </math>\n    is optional\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span class=\"fontstyle0\">\n   equation applies to Sirius/stars that are luminous/emit light «from fusion»\n  </span>\n  <span class=\"fontstyle2\">\n   ✓\n  </span>\n </p>\n <p>\n  <span class=\"fontstyle0\">\n   but Venus reflects the Sun’s light/does not emit light\n  </span>\n  <span class=\"fontstyle3\">\n   «\n  </span>\n  <span class=\"fontstyle0\">\n   from fusion\n  </span>\n  <span class=\"fontstyle3\">\n   »\n  </span>\n  <span class=\"fontstyle2\">\n   ✓\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    OWTTE\n   </span>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>A sample of vegetable oil, initially in the liquid state, is placed in a freezer that transfers thermal energy from the sample at a constant rate. The graph shows how temperature <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math> of the sample varies with time <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi></math>.</p>\n<p><img height=\"299\" 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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"515\"/></p>\n<p>The following data are available.</p>\n<p style=\"padding-left: 30px;\">Mass of the sample <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>0</mn><mo>.</mo><mn>32</mn><mo> </mo><mi>kg</mi></math><br/>Specific latent heat of fusion of the oil <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>130</mn><mo> </mo><mi>kJ</mi><mo> </mo><msup><mi>kg</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math><br/>Rate of thermal energy transfer <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>15</mn><mo> </mo><mi mathvariant=\"normal\">W</mi></math></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the thermal energy transferred from the sample during the first <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>30</mn></math> minutes.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the specific heat capacity of the oil in its liquid phase. State an appropriate unit for your answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The sample begins to freeze during the thermal energy transfer. Explain, in terms of the molecular model of matter, why the temperature of the sample remains constant during freezing.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the mass of the oil that remains unfrozen after <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>60</mn></math> minutes.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mn>15</mn><mo>×</mo><mn>30</mn><mo>×</mo><mn>60</mn><mo>»</mo><mo>=</mo><mn>27000</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">J</mi><mo>»</mo></math> ✓</span></p>\n<p> </p>\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>27</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>32</mn><mo>×</mo><mi>c</mi><mo>×</mo><mfenced><mrow><mn>290</mn><mo>-</mo><mn>250</mn></mrow></mfenced></math> <em><strong>OR </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2100</mn></math> ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>kg</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mi mathvariant=\"normal\">K</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math> <em><strong>OR</strong></em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">J</mi><mo> </mo><msup><mi>kg</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo> </mo><msup><mo> </mo><mn>0</mn></msup><msup><mi mathvariant=\"normal\">C</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></math> ✓</p>\n<p><span class=\"fontstyle0\"><em><br/>Allow any appropriate unit that is</em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>e</mi><mi>n</mi><mi>e</mi><mi>r</mi><mi>g</mi><mi>y</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>s</mi><mi>s</mi><mo>×</mo><mi>t</mi><mi>e</mi><mi>r</mi><mi>m</mi><mi>p</mi><mi>e</mi><mi>r</mi><mi>a</mi><mi>t</mi><mi>u</mi><mi>r</mi><mi>e</mi></mrow></mfrac></math></span></p>\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">«intermolecular» bonds are formed during freezing </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\"><br/>bond-forming process releases energy<br/></span><span class=\"fontstyle3\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle4\">«</span><span class=\"fontstyle0\">intermolecular</span><span class=\"fontstyle4\">» </span><span class=\"fontstyle0\">PE decreases </span><span class=\"fontstyle4\">«</span><span class=\"fontstyle0\">and the difference is transferred as heat</span><span class=\"fontstyle4\">» </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle2\"><br/></span><span class=\"fontstyle4\">«</span><span class=\"fontstyle0\">average random</span><span class=\"fontstyle4\">» </span><span class=\"fontstyle0\">KE of the molecules does not decrease/change </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle2\"><br/></span><span class=\"fontstyle0\">temperature is related to «average» KE of the molecules «hence unchanged» </span><span class=\"fontstyle2\">✓</span></p>\n<p> </p>\n<p><em><span class=\"fontstyle5\">To award MP3 or MP4 molecules/particles/atoms must be mentioned.</span></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">mass of frozen oil <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mfrac><mrow><mn>27</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow><mrow><mn>130</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow></mfrac><mo>»</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>21</mn><mo> </mo><mo>«</mo><mi>kg</mi><mo>»</mo></math> </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\">unfrozen mass <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>32</mn><mo>-</mo><mn>0</mn><mo>.</mo><mn>21</mn><mo>»</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>11</mn><mo> </mo><mo>«</mo><mi>kg</mi><mo>»</mo></math> </span><span class=\"fontstyle2\">✓</span></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>The graph shows how current <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi></math> varies with potential difference <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi></math> across a component X.</p>\n<p><img height=\"357\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"532\"/></p>\n</div><div class=\"specification\">\n<p>Component X and a cell of negligible internal resistance are placed in a circuit.</p>\n<p>A variable resistor R is connected in series with component X. The ammeter reads <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>20</mn><mo> </mo><mi>mA</mi></math>.</p>\n<p style=\"text-align: center;\"><img height=\"157\" src=\"data:image/png;base64,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\" width=\"187\"/></p>\n</div><div class=\"specification\">\n<p>Component X and the cell are now placed in a potential divider circuit.</p>\n<p><img height=\"131\" src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\" width=\"241\"/></p>\n<p> </p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why component X is considered non-ohmic.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the resistance of the variable resistor.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the power dissipated in the circuit.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the range of current that the ammeter can measure as the slider S of the potential divider is moved from Q to P.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe, by reference to your answer for (c)(i), the advantage of the potential divider arrangement over the arrangement in (b).</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">current is not «directly» proportional to the potential difference<br/></span><span class=\"fontstyle2\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">resistance of X is not constant<br/></span><span class=\"fontstyle2\"><em><strong>OR</strong></em><br/></span><span class=\"fontstyle0\">resistance of X changes «with current/voltage» </span><span class=\"fontstyle3\">✓</span></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em></p>\n<p><span class=\"fontstyle0\">voltage across X<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>2</mn><mo>.</mo><mn>3</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">V</mi><mo>»</mo></math> ✓</span></p>\n<p><span class=\"fontstyle0\">voltage across R<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>-</mo><mn>2</mn><mo>.</mo><mn>3</mn><mo>»</mo><mo>=</mo><mn>1</mn><mo>.</mo><mn>7</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">V</mi><mo>»</mo></math> ✓</span></p>\n<p><span class=\"fontstyle0\">resistance of variable resistor <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>7</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>020</mn></mrow></mfrac><mo>»</mo><mo>=</mo><mn>85</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">Ω</mi><mo>»</mo></math> ✓</span></p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em></p>\n<p>overall resistance <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mfrac><mrow><mn>4</mn><mo>.</mo><mn>0</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>020</mn></mrow></mfrac><mo>»</mo><mo>=</mo><mn>200</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">Ω</mi><mo>»</mo></math> ✓</p>\n<p>resistance of X <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mfrac><mrow><mn>2</mn><mo>.</mo><mn>3</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>020</mn></mrow></mfrac><mo>»</mo><mo>=</mo><mn>115</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">Ω</mi><mo>»</mo></math> ✓</p>\n<p>resistance of variable resistor <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>200</mn><mo>-</mo><mn>115</mn><mo>»</mo><mo>=</mo><mn>85</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">Ω</mi><mo>»</mo></math> ✓</p>\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>power <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>020</mn><mo>»</mo><mo>=</mo><mn>0</mn><mo>.</mo><mn>080</mn><mo> </mo><mo>«</mo><mi mathvariant=\"normal\">W</mi><mo>»</mo></math> <span class=\"fontstyle0\">✓</span></p>\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">from <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn></math> to <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>60</mn><mo> </mo><mi>mA</mi></math> </span><span class=\"fontstyle2\">✓</span></p>\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><span class=\"fontstyle0\">allows zero current through component X / potential divider arrangement </span><span class=\"fontstyle2\">✓</span></p>\n<p><span class=\"fontstyle0\">provides greater range </span><span class=\"fontstyle3\">«</span><span class=\"fontstyle0\">of current through component X</span><span class=\"fontstyle3\">» </span><span class=\"fontstyle2\">✓</span></p>\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b(ii).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(i).</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c(ii).</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits"
+    ]
+  },
+  {
+    "question_id": "20N.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the cylinder performs simple harmonic motion when released.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The mass of the cylinder is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     118\n    </mn>\n    <mo>\n    </mo>\n    <mi>\n     kg\n    </mi>\n   </math>\n   and the cross-sectional area of the cylinder is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     2\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     29\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <msup>\n     <mn>\n      10\n     </mn>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </msup>\n    <mo>\n    </mo>\n    <msup>\n     <mi mathvariant=\"normal\">\n      m\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </math>\n   . The density of water is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     1\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     03\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <msup>\n     <mn>\n      10\n     </mn>\n     <mn>\n      3\n     </mn>\n    </msup>\n    <mo>\n    </mo>\n    <mi>\n     kg\n    </mi>\n    <mo>\n    </mo>\n    <msup>\n     <mi mathvariant=\"normal\">\n      m\n     </mi>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       3\n      </mn>\n     </mrow>\n    </msup>\n   </math>\n   . Show that the angular frequency of oscillation of the cylinder is about\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     4\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     4\n    </mn>\n    <mo>\n    </mo>\n    <mo>\n    </mo>\n    <mi>\n     rad\n    </mi>\n    <mo>\n    </mo>\n    <msup>\n     <mi mathvariant=\"normal\">\n      s\n     </mi>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </msup>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c(ii))\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw, on the axes, the graph to show how the kinetic energy of the cylinder varies with time during\n   <strong>\n    one\n   </strong>\n   period of oscillation\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     T\n    </mi>\n   </math>\n   .\n  </p>\n  <p>\n   <img height=\"371\" src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\" width=\"610\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <span class=\"fontstyle0\">\n   the\n  </span>\n  <span class=\"fontstyle2\">\n   «\n  </span>\n  <span class=\"fontstyle0\">\n   restoring\n  </span>\n  <span class=\"fontstyle2\">\n   »\n  </span>\n  <span class=\"fontstyle0\">\n   force/acceleration is proportional to displacement\n  </span>\n  <span class=\"fontstyle3\">\n   ✓\n  </span>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle4\">\n    <br/>\n    Allow use of symbols i.e.\n   </span>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     F\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mo>\n     -\n    </mo>\n    <mi>\n     x\n    </mi>\n   </math>\n   <span class=\"fontstyle4\">\n    or\n   </span>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mo>\n     -\n    </mo>\n    <mi>\n     x\n    </mi>\n   </math>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <span class=\"fontstyle0\">\n   Evidence of equating\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     m\n    </mi>\n    <msup>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mi>\n     x\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mi>\n     ρ\n    </mi>\n    <mi>\n     A\n    </mi>\n    <mi>\n     g\n    </mi>\n    <mi>\n     x\n    </mi>\n   </math>\n   «to obtain\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <mi>\n       ρ\n      </mi>\n      <mi>\n       A\n      </mi>\n      <mi>\n       g\n      </mi>\n     </mrow>\n     <mi>\n      m\n     </mi>\n    </mfrac>\n    <mo>\n     =\n    </mo>\n    <msup>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </math>\n   » ✓\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <span class=\"fontstyle0\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     ω\n    </mi>\n    <mo>\n     =\n    </mo>\n    <msqrt>\n     <mfrac>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        03\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         3\n        </mn>\n       </msup>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        2\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        29\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          1\n         </mn>\n        </mrow>\n       </msup>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        9\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        81\n       </mn>\n      </mrow>\n      <mn>\n       118\n      </mn>\n     </mfrac>\n    </msqrt>\n   </math>\n   <em>\n    <strong>\n     OR\n    </strong>\n   </em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     4\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     43\n    </mn>\n    <mo>\n     «\n    </mo>\n    <mi>\n     rad\n    </mi>\n    <mo>\n    </mo>\n    <msup>\n     <mi mathvariant=\"normal\">\n      s\n     </mi>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </msup>\n    <mo>\n     »\n    </mo>\n   </math>\n   ✓\n  </span>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <span class=\"fontstyle0\">\n    Answer to at least\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mn mathvariant=\"italic\">\n      3\n     </mn>\n    </math>\n    s.f.\n   </span>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  <span class=\"fontstyle0\">\n   energy never negative\n  </span>\n  <span class=\"fontstyle2\">\n   ✓\n  </span>\n </p>\n <p>\n  <span class=\"fontstyle0\">\n   correct shape with two maxima\n  </span>\n  <span class=\"fontstyle2\">\n   ✓\n  </span>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This was well answered with candidates gaining credit for answers in words or symbols.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Again, very well answered.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c(ii))\n </div><div class=\"card-body\">\n <p>\n  Most candidates answered with a graph that was only positive so scored the first mark.\n </p>\n</div>\n",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.10",
+    "Question": "<div class=\"specification\">\n<p>In an electric circuit used to investigate the photoelectric effect, the voltage is varied until the reading in the ammeter is zero. The stopping voltage that produces this reading is 1.40 V.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the photoelectric effect.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the maximum velocity of the photoelectrons is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>700</mn><mo> </mo><msup><mtext>km  s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup></math>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The photoelectrons are emitted from a sodium surface. Sodium has a work function of 2.3 eV.</p>\n<p>Calculate the wavelength of the radiation incident on the sodium. State an appropriate unit for your answer.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrons are ejected from the surface of a metal <strong>✓</strong></p>\n<p>after gaining energy from photons/electromagnetic radiation <strong>✓</strong></p>\n<p>there is a minimum «threshold» energy/frequency<br/><em><strong>OR</strong></em><br/>maximum «threshold» wavelength <strong>✓</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>e</mi><mi>V</mi><mo> </mo><mo>=</mo><mo> </mo><mfrac><mn>1</mn><mn>2</mn></mfrac><mo> </mo><mi>m</mi><msup><mi>v</mi><mn>2</mn></msup></math>» and manipulation to get <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><msqrt><mfrac><mrow><mn>2</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup><mo>×</mo><mn>1</mn><mo>.</mo><mn>4</mn></mrow><mrow><mn>9</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>31</mn></mrow></msup></mrow></mfrac></msqrt></math>  <em><strong>OR  </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>702</mn><mo>«</mo><msup><mtext>km s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math><strong>✓</strong></p>\n<p><em>Must see either complete substitution or calculation to at least 3 s.f. for <strong>MP2</strong></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>3</mn><mo>+</mo><mn>1</mn><mo>.</mo><mn>4</mn></math> ✓</strong></p>\n<p><strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>63</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>34</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup></mrow><mrow><mn>3</mn><mo>.</mo><mn>7</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup></mrow></mfrac></math> ✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>3</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>7</mn></mrow></msup><mo> </mo><mtext>m </mtext><mtext mathvariant=\"bold-italic\">OR</mtext><mtext> 340 nm</mtext></math> <strong>✓</strong></p>\n<p><em><br/>Must see an appropriate unit to award<strong> MP3.</strong></em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>A planet is in a circular orbit around a star. The speed of the planet is constant. The following data are given:</p>\n<p style=\"padding-left: 120px;\">Mass of planet                                      <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>8</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>24</mn></msup><mo> </mo></math>kg<br/>Mass of star                                          <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>3</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>30</mn></msup><mo> </mo></math>kg<br/>Distance from the star to the planet <em>R</em>  <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>4</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>10</mn></msup><mo> </mo></math>m.</p>\n</div><div class=\"specification\">\n<p>A spacecraft is to be launched from the surface of the planet to escape from the star system. The radius of the planet is 9.1 × 10<sup>3</sup> km.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why a centripetal force is needed for the planet to be in a circular orbit.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the value of the centripetal force.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the gravitational potential due to the planet and the star at the surface of the planet is about −5 × 10<sup>9 </sup>J kg<sup>−1</sup>.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the escape speed of the spacecraft from the planet–star system.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«circular motion» involves a changing velocity <strong>✓</strong></p>\n<p>«Tangential velocity» is «always» perpendicular to centripetal force/acceleration <strong>✓</strong></p>\n<p>there must be a force/acceleration towards centre/star <strong>✓</strong></p>\n<p>without a centripetal force the planet will move in a straight line <strong>✓</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mfrac><mrow><mo>(</mo><mn>6</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo>)</mo><mo>(</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>24</mn></msup><mo>)</mo><mo>(</mo><mn>3</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>30</mn></msup><mo>)</mo></mrow><mrow><mo>(</mo><mn>4</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>10</mn></msup><msup><mo>)</mo><mn>2</mn></msup></mrow></mfrac><mo>=</mo><mn>8</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>23</mn></msup></math> «N» <strong>✓</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>V</em><sub>planet</sub> = «−»<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>(</mo><mn>6</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo>)</mo><mo>(</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>24</mn></msup><mo>)</mo></mrow><mrow><mn>9</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></mfrac><mo>=</mo></math>«−» 5.9 × 10<sup>7 </sup>«J kg<sup>−1</sup>» <strong>✓</strong></p>\n<p><em>V</em><sub>star</sub> = «−»<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mo>(</mo><mn>6</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo>)</mo><mo>(</mo><mn>3</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>30</mn></msup><mo>)</mo></mrow><mrow><mn>4</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>10</mn></msup></mrow></mfrac><mo>=</mo></math>«−» 4.9 × 10<sup>9 </sup>«J kg<sup>−1</sup>» <strong>✓</strong></p>\n<p><em>V</em><sub>planet</sub> + <em>V</em><sub>star </sub>= «−» 4.9 «09» × 10<sup>9 </sup>«J kg<sup>−1</sup>» <strong>✓</strong></p>\n<p><em><br/></em><em>Must see substitutions and not just equations.</em></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <em>v</em><sub>esc</sub> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mn>2</mn><mi>V</mi></msqrt></math> <strong>✓</strong></p>\n<p><em>v = </em>9.91 × 10<sup>4</sup> «m s<sup>−1</sup>» <strong>✓</strong></p>\n<p> </p>\n<p> </p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ1.8",
+    "Question": "<div class=\"specification\">\n<p>On a guitar, the strings played vibrate between two fixed points. The frequency of vibration is modified by changing the string length using a finger. The different strings have different wave speeds. When a string is plucked, a standing wave forms between the bridge and the finger.</p>\n<p>                                                       <img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>The string is displaced 0.4 cm at point P to sound the guitar. Point P on the string vibrates with simple harmonic motion (shm) in its first harmonic with a frequency of 195 Hz. The sounding length of the string is 62 cm.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how a standing wave is produced on the string.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the speed of the wave on the string is about 240 m s<sup>−1</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch a graph to show how the acceleration of point P varies with its displacement from the rest position.</p>\n<p>                 <img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate, in m s<sup>−1</sup>, the maximum velocity of vibration of point P when it is vibrating with a frequency of 195 Hz.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate, in terms of <em>g</em>, the maximum acceleration of P.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.iv.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the displacement needed to double the energy of the string.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.v.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The string is made to vibrate in its third harmonic. State the distance between consecutive nodes. </p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«travelling» wave moves along the length of the string and reflects «at fixed end» <strong>✓</strong></p>\n<p>superposition/interference of incident and reflected waves <strong>✓</strong></p>\n<p>the superposition of the reflections is reinforced only for certain wavelengths <strong>✓</strong> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mn>2</mn><mi>l</mi><mo>=</mo><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>62</mn><mo>=</mo><mo>«</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo> </mo><mtext>m</mtext><mo>»</mo></math> ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><mi>f</mi><mi>λ</mi><mo>=</mo><mn>195</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo>=</mo><mn>242</mn><mo> </mo><mo>«</mo><msup><mtext>m s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✓</p>\n<p><em>Answer must be to 3 or more sf or working shown for<strong> MP2.</strong></em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>straight line through origin with negative gradient <strong>✓</strong></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>max velocity occurs at x = 0 <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><mo>«</mo><mo>(</mo><mn>2</mn><mi>π</mi><mo>)</mo><mo>(</mo><mn>195</mn><mo>)</mo><msqrt><mn>0</mn><mo>.</mo><msup><mn>004</mn><mn>2</mn></msup></msqrt><mo>»</mo><mo>=</mo><mn>4</mn><mo>.</mo><mn>9</mn><mo> </mo><mo>«</mo><msup><mtext>m s</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong></p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>a</mi><mo>=</mo><msup><mfenced><mrow><msub><mn>2</mn><mi mathvariant=\"normal\">π</mi></msub><mo> </mo><mn>195</mn></mrow></mfenced><mn>2</mn></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>004</mn><mo>=</mo><mn>6005</mn><mo> </mo><mo>«</mo><msup><mtext>m s</mtext><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>600</mn><mo> </mo><mtext>g</mtext></math> <strong>✓</strong></p>\n<div class=\"question_part_label\">b.iv.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>∝</mo><msup><mi>A</mi><mn>2</mn></msup><mtext mathvariant=\"bold-italic\"> OR  </mtext><msup><msub><mi>x</mi><mtext>o</mtext></msub><mn>2</mn></msup></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>4</mn><msqrt><mn>2</mn></msqrt><mo>=</mo><mn>0</mn><mo>.</mo><mn>57</mn><mo> </mo><mo>«</mo><mtext>cm</mtext><mo>»</mo><mo> </mo><mo>≅</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>6</mn><mo> </mo><mo>«</mo><mtext>cm</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<div class=\"question_part_label\">b.v.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>62</mn><mn>3</mn></mfrac><mo>=</mo><mn>21</mn><mo> </mo><mo>«</mo><mtext>cm</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.iv.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.v.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.10",
+    "Question": "<div class=\"specification\">\n<p>The table gives data for Jupiter and three of its moons, including the radius <em>r</em> of each object.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>A spacecraft is to be sent from <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Io</mtext></math> to infinity.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate, for the surface of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Io</mtext></math>, the gravitational field strength <em>g</em><sub>Io</sub> due to the mass of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Io</mtext></math>. State an appropriate unit for your answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>gravitational</mi><mo> </mo><mi>potential</mi><mo> </mo><mi>due</mi><mo> </mo><mi>to</mi><mo> </mo><mi>Jupiter</mi><mo> </mo><mi>at</mi><mo> </mo><mi>the</mi><mo> </mo><mi>orbit</mi><mo> </mo><mi>of</mi><mo> </mo><mi>Io</mi></mrow><mrow><mo> </mo><mi>gravitational</mi><mo> </mo><mi>potential</mi><mo> </mo><mi>due</mi><mo> </mo><mi>to</mi><mo> </mo><mi>Io</mi><mo> </mo><mi>at</mi><mo> </mo><mi>the</mi><mo> </mo><mi>surface</mi><mo> </mo><mi>of</mi><mo> </mo><mi>Io</mi></mrow></mfrac></math> is about 80.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline, using (b)(i), why it is not correct to use the equation <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfrac><mrow><mn>2</mn><mi>G</mi><mo>×</mo><mtext>mass of Io</mtext></mrow><mtext>radius of Io</mtext></mfrac></msqrt></math> to calculate the speed required for the spacecraft to reach infinity from the surface of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Io</mtext></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>An engineer needs to move a space probe of mass 3600 kg from Ganymede to Callisto. Calculate the energy required to move the probe from the orbital radius of Ganymede to the orbital radius of Callisto. Ignore the mass of the moons in your calculation. </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mi>G</mi><mi>M</mi></mrow><msup><mi>r</mi><mn>2</mn></msup></mfrac><mo>=</mo><mfrac><mrow><mn>6</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo>×</mo><mn>8</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>22</mn></msup></mrow><msup><mfenced><mrow><mn>1</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></mfenced><mn>2</mn></msup></mfrac><mo>=</mo><mo>»</mo><mn>1</mn><mo>.</mo><mn>8</mn></math><strong> ✓</strong></p>\n<p>N kg<sup>−1  </sup><em><strong>OR</strong>  </em>m s<sup>−2</sup><strong>  ✓</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>1</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>27</mn></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup></mrow></mfrac></math><strong>  <em>AND </em> </strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>22</mn></msup></mrow><mrow><mn>1</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></mfrac></math><strong> </strong>seen<strong> ✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>27</mn></msup><mo>×</mo><mn>1</mn><mo>.</mo><mn>8</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow><mrow><mn>4</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>8</mn></msup><mo>×</mo><mn>8</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mn>22</mn></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>78</mn></math><strong>  ✓</strong></p>\n<p><em><br/>For <strong>MP1</strong>, potentials can be seen individually or as a ratio.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«this is the escape speed for <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Io</mtext></math> alone but» gravitational potential / field of Jupiter must be taken into account<strong>  ✓</strong></p>\n<p><em><strong><br/>OWTTE</strong></em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>-</mo><mi>G</mi><msub><mi>M</mi><mtext>Jupiter</mtext></msub><mfenced><mrow><mfrac><mn>1</mn><mrow><mn>1</mn><mo>.</mo><mn>88</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup></mrow></mfrac><mo>-</mo><mfrac><mn>1</mn><mrow><mn>1</mn><mo>.</mo><mn>06</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup></mrow></mfrac></mrow></mfenced><mo>=</mo><mo>«</mo><mn>5</mn><mo>.</mo><mn>21</mn><mo>×</mo><msup><mn>10</mn><mn>7</mn></msup><mo> </mo><msup><mtext>J kg</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math><strong>  ✓</strong></p>\n<p>« multiplies by 3600 kg to get » 1.9 × 10<sup>11 </sup>«J» <strong>✓</strong></p>\n<p><em><br/>Award <strong>[2]</strong> marks if factor of ½ used, taking into account orbital kinetic energies, leading to a final answer of 9.4 x 10<sup>10 </sup>«J».</em></p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong></em></p>\n<p><em>Award <strong>[2] marks</strong> for a bald correct answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.8",
+    "Question": "<div class=\"specification\">\n<p>Monochromatic light of wavelength <em>λ</em> is normally incident on a diffraction grating. The diagram shows adjacent slits of the diffraction grating labelled V, W and X. Light waves are diffracted through an angle <em>θ</em> to form a <strong>second-order</strong> diffraction maximum. Points Z and Y are labelled.</p>\n<p style=\"text-align: center;\">  <img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>State the effect on the graph of the variation of sin <em>θ</em> with <em>n</em> of:</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the phase difference between the waves at V and Y.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State, in terms of <em>λ</em>, the path length between points X and Z.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The separation of adjacent slits is <em>d</em>. Show that for the second-order diffraction maximum <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mi>λ</mi><mo>=</mo><mi>d</mi><mi>sin</mi><mo> </mo><mi>θ</mi></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Monochromatic light of wavelength 633 nm is normally incident on a diffraction grating. The diffraction maxima incident on a screen are detected and their angle <em>θ</em> to the central beam is determined. The graph shows the variation of sin<em>θ</em> with the order <em>n</em> of the maximum. The central order corresponds to <em>n</em> = 0.</p>\n<p><img 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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p>Determine a mean value for the number of slits per millimetre of the grating.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>using a light source with a smaller wavelength.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>increasing the distance between the diffraction grating and the screen.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>0 <em><strong>OR</strong> </em>2<em>π</em> <em><strong>OR</strong> </em>360° <strong>✓</strong></p>\n<p> </p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>4<em>λ</em> <strong>✓</strong></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>sin</mi><mo> </mo><mi>θ</mi><mo>«</mo><mo>=</mo><mfrac><mtext>XZ</mtext><mtext>VX</mtext></mfrac><mo>»</mo><mo>=</mo><mfrac><mrow><mn>4</mn><mi>λ</mi></mrow><mrow><mn>2</mn><mi>d</mi></mrow></mfrac></math><strong>✓</strong></p>\n<p><em><br/>Do <strong>not</strong> award <strong>ECF</strong> from(a)(ii).</em></p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>identifies gradient with <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>λ</mi><mi>d</mi></mfrac></math> <em><strong>OR</strong> </em>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>d</mi><mo> </mo><mi>sin</mi><mo> </mo><mi>θ</mi><mo>=</mo><mi>n</mi><mi>λ</mi></math><strong> ✓</strong></p>\n<p>gradient = 0.08 <em><strong>OR</strong> </em>correct replacement in equation with coordinates of a point <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>d</mi><mo>=</mo><mfrac><mrow><mn>633</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>9</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>080</mn></mrow></mfrac><mo>=</mo><mo>«</mo><mn>7</mn><mo>.</mo><mn>91</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo> </mo><mtext>m</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>26</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup><mo> </mo><mtext mathvariant=\"bold-italic\">OR</mtext><mo> </mo><mn>1</mn><mo>.</mo><mn>27</mn><mo>×</mo><mn>102</mn><mo>«</mo><msup><mtext>mm</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong></p>\n<p><em><br/>Allow <strong>ECF</strong> from <strong>MP3</strong></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>gradient smaller <strong>✓</strong></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>no change <strong>✓</strong></p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "21M.2.HL.TZ2.9",
+    "Question": "<div class=\"specification\">\n<p>In an experiment to demonstrate the photoelectric effect, monochromatic electromagnetic radiation from source A is incident on the surfaces of metal P and metal Q. Observations of the emission of electrons from P and Q are made.</p>\n<p>The experiment is then repeated with two other sources of electromagnetic radiation: B and C. The table gives the results for the experiment and the wavelengths of the radiation sources.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the cause of the electron emission for radiation A.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why electrons are never emitted for radiation C.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline why radiation B gives different results.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why there is no effect on the table of results when the intensity of source B is doubled.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Photons with energy 1.1 × 10<sup>−18 </sup>J are incident on a third metal surface. The maximum energy of electrons emitted from the surface of the metal is 5.1 × 10<sup>−19 </sup>J.</p>\n<p>Calculate, in eV, the work function of the metal.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>photon transfers «all» energy to electron <strong>✓</strong></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>photon energy is less than both work functions<br/><em><strong>OR</strong></em><br/>photon energy is insufficient «to remove an electron» <strong>✓</strong></p>\n<p><em><br/>Answer must be in terms of photon energy.</em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Identifies P work function lower than Q work function<strong> ✓</strong></p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>changing/doubling intensity «changes/doubles number of photons arriving but» does not change energy of photon<strong> ✓</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup><mo>=</mo><mn>1</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>18</mn></mrow></msup><mo>-</mo><mi mathvariant=\"normal\">ϕ</mi></math> ✓</strong></p>\n<p>work function <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>= «</mtext><mfrac><mrow><mo>(</mo><mn>11</mn><mo>.</mo><mn>0</mn><mo>-</mo><mn>5</mn><mo>.</mo><mn>1</mn><mo>)</mo><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup></mrow><mrow><mn>1</mn><mo>.</mo><mn>6</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>19</mn></mrow></msup></mrow></mfrac><mtext>= » 3.7 «eV»</mtext></math> <strong> ✓</strong></p>\n<p><em><br/>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>Two players are playing table tennis. Player A hits the ball at a height of 0.24 m above the edge of the table, measured from the top of the table to the bottom of the ball. The initial speed of the ball is 12.0 m s<sup>−1</sup> horizontally. Assume that air resistance is negligible.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"specification\">\n<p>The ball bounces and then reaches a peak height of 0.18 m above the table with a horizontal speed of 10.5 m s<sup>−1</sup>. The mass of the ball is 2.7 g.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the time taken for the ball to reach the surface of the table is about 0.2 s.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch, on the axes, a graph showing the variation with time of the vertical component of velocity <em>v</em><sub>v</sub> of the ball until it reaches the table surface. Take <em>g</em> to be +10 m s<sup>−2</sup>.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The net is stretched across the middle of the table. The table has a length of 2.74 m and the net has a height of 15.0 cm.</p>\n<p>Show that the ball will go over the net.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the kinetic energy of the ball immediately after the bounce.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Player B intercepts the ball when it is at its peak height. Player B holds a paddle (racket) stationary and vertical. The ball is in contact with the paddle for 0.010 s. Assume the collision is elastic.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p>Calculate the average force exerted by the ball on the paddle. State your answer to an appropriate number of significant figures.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>t</em> = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfrac><mrow><mn>2</mn><mi>d</mi></mrow><mi>g</mi></mfrac></msqrt></math>=» 0.22 «s»<br/><strong><em>OR</em></strong></p>\n<p><em>t</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfrac><mrow><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>24</mn></mrow><mrow><mn>9</mn><mo>.</mo><mn>8</mn></mrow></mfrac></msqrt></math>  <strong>✓</strong> </p>\n<p><em>Answer to 2 or more significant figures or formula with variables replaced by correct values.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>increasing straight line from zero up to 0.2 s in <em>x</em>-axis <strong>✓</strong></p>\n<p>with gradient = 10 <strong>✓</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1 </strong></em></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>37</mn></mrow><mn>12</mn></mfrac><mo>=</mo></math>«0.114 s» ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>y</mi><mo>=</mo><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>10</mn><mo>×</mo><mn>0</mn><mo>.</mo><msup><mn>114</mn><mn>2</mn></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>065</mn></math> m ✓</p>\n<p>so (0.24 − 0.065) = 0.175 &gt; 0.15  <em><strong>OR</strong>  </em>0.065 &lt; (0.24 − 0.15) «so it goes over the net» <strong>✓</strong></p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em></p>\n<p>«0.24 − 0.15 = 0.09 = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac><mo>×</mo><mn>10</mn><mo>×</mo><msup><mi>t</mi><mn>2</mn></msup></math> so» <em>t </em>= 0.134 s <strong>✓</strong></p>\n<p>0.134 × 12 = 1.6 m <strong>✓</strong></p>\n<p>1.6 &gt; 1.37 «so ball passed the net already»  <strong>✓</strong></p>\n<p> </p>\n<p><em>Allow use of g = 9.8.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1 </strong></em></p>\n<p>KE = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math><em>mv</em><sup>2</sup> + <em>mgh</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>0.0027 ×10.5<sup>2</sup> + 0.0027 × 9.8 × 0.18 <strong>✓</strong></p>\n<p>0.15 «J» <strong>✓</strong></p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em></p>\n<p>Use of <em>v</em><sub>x</sub> = 10.5 <em><strong>AND</strong></em> <em>v</em><sub>y </sub><em>= </em>1.88 to get <em>v</em> = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mn>10</mn><mo>.</mo><msup><mn>5</mn><mn>2</mn></msup><mo> </mo><mo>+</mo><mo> </mo><mn>1</mn><mo>.</mo><msup><mn>88</mn><mn>2</mn></msup></msqrt></math>» = 10.67 «m s<sup>−1</sup>» <strong>✓</strong></p>\n<p>KE = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1</mn><mn>2</mn></mfrac></math> × 0.0027 × 10.67<sup>2</sup> = 0.15 «J»  <strong>✓</strong></p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Δ</mtext><mi>v</mi><mo> </mo><mo>=</mo><mo> </mo><mn>21</mn></math> «m s<sup>−1</sup>» <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>0027</mn><mo> </mo><mo>×</mo><mn>21</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>01</mn></mrow></mfrac></math></p>\n<p><em><strong>OR</strong></em></p>\n<p>5.67 «N» <strong>✓</strong></p>\n<p>any answer to 2 significant figures «N» <strong>✓</strong></p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>A planet is in a circular orbit around a star. The speed of the planet is constant.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why a centripetal force is needed for the planet to be in a circular orbit.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the nature of this centripetal force.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the gravitational field of the planet.</p>\n<p>The following data are given:</p>\n<p style=\"padding-left:180px;\">Mass of planet            <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>8</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mn>24</mn></msup></math> kg<br/>Radius of the planet    <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>9</mn><mo>.</mo><mn>1</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></math> m.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«circular motion» involves a changing velocity <strong>✓</strong></p>\n<p>«Tangential velocity» is «always» perpendicular to centripetal force/acceleration <strong>✓</strong></p>\n<p>there must be a force/acceleration towards centre/star <strong>✓</strong></p>\n<p>without a centripetal force the planet will move in a straight line <strong>✓</strong></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>gravitational force/force of gravity ✓</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>G</mi><mi>M</mi></mrow><msup><mi>R</mi><mn>2</mn></msup></mfrac></math> ✓</p>\n<p>6.4 «Nkg<sup>−1</sup> or ms<sup>−2</sup>» ✓</p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>A mass of 1.0 kg of water is brought to its boiling point of 100 °C using an electric heater of power 1.6 kW.</p>\n</div><div class=\"specification\">\n<p>A mass of 0.86 kg of water remains after it has boiled for 200 s.</p>\n</div><div class=\"specification\">\n<p>The electric heater has two identical resistors connected in parallel.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>The circuit transfers 1.6 kW when switch A only is closed. The external voltage is 220 V.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The molar mass of water is 18 g mol<sup>−1</sup>. Estimate the average speed of the water molecules in the vapor produced. Assume the vapor behaves as an ideal gas.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>one</strong> assumption of the kinetic model of an ideal gas.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the specific latent heat of vaporization of water. State an appropriate unit for your answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the temperature of water remains at 100 °C during this time.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The heater is removed and a mass of 0.30 kg of pasta at −10 °C is added to the boiling water.</p>\n<p>Determine the equilibrium temperature of the pasta and water after the pasta is added. Other heat transfers are negligible.</p>\n<p style=\"padding-left:180px;\">Specific heat capacity of pasta = 1.8 kJ kg<sup>−1</sup> K<sup>−1</sup><br/>Specific heat capacity of water = 4.2 kJ kg<sup>−1</sup> K<sup>−1</sup></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that each resistor has a resistance of about 30 Ω.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the power transferred by the heater when both switches are closed.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>E</em><sub>k</sub> = « <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>3</mn><mn>2</mn></mfrac><mo>(</mo><mn>1</mn><mo>.</mo><mn>38</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>23</mn></mrow></msup><mo>)</mo><mo>(</mo><mn>373</mn><mo>)</mo></math>» = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>7</mn><mo>.</mo><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>21</mn></mrow></msup></math> «J» <strong>✓</strong></p>\n<p><em>v = </em>«<em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfrac><mrow><mn>3</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>38</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>23</mn></mrow></msup><mo>×</mo><mn>6</mn><mo>.</mo><mn>02</mn><mo>×</mo><msup><mn>10</mn><mn>23</mn></msup><mo>×</mo><mn>373</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>018</mn></mrow></mfrac></msqrt></math></em>»<em> = </em>720 «m s<sup>−1</sup>» <strong>✓</strong></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>particles can be considered points «without dimensions» <strong>✓</strong></p>\n<p>no intermolecular forces/no forces between particles «except during collisions»<strong>✓</strong></p>\n<p>the volume of a particle is negligible compared to volume of gas <strong>✓</strong></p>\n<p>collisions between particles are elastic <strong>✓</strong></p>\n<p>time between particle collisions are greater than time of collision <strong>✓</strong></p>\n<p>no intermolecular PE/no PE between particles  <strong>✓</strong></p>\n<p> </p>\n<p><em>Accept reference to atoms/molecules for “particle”</em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<em>mL = P</em> t» so «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>L</mi><mo>=</mo><mfrac><mrow><mn>1600</mn><mo>×</mo><mn>200</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>14</mn></mrow></mfrac></math>» = 2.3 x 10<sup>6</sup> «J kg<sup>-1</sup>» <strong>✓</strong></p>\n<p>J kg<sup>−1 </sup><strong>✓</strong></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«all» of the energy added is used to increase the «intermolecular» potential energy of the particles/break «intermolecular» bonds/<strong>OWTTE</strong> <strong>✓</strong></p>\n<p><em>Accept reference to atoms/molecules for “particle”</em> </p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of mcΔT <strong>✓</strong></p>\n<p>0.86 × 4200 × (100 – <em>T</em>) = 0.3 × 1800 × (<em>T</em> +10) <strong>✓</strong></p>\n<p><em>T</em><sub>eq</sub> = 85.69«°C» ≅ 86«°C» <strong>✓</strong></p>\n<p><em>Accept T<sub>eq</sub> in Kelvin (359 K).</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>P</mi><mo>=</mo><mfrac><msup><mi>v</mi><mn>2</mn></msup><mi>R</mi></mfrac><mo> </mo><mi>so</mi><mo> </mo><mfrac><msup><mn>220</mn><mn>2</mn></msup><mn>1600</mn></mfrac><mo> </mo><mi>so</mi><mo> </mo><mi>R</mi><mo>=</mo><mn>30</mn><mo>.</mo><mn>25</mn></math> «Ω» <strong>✓</strong></p>\n<p><em>Must see either the substituted values <strong>OR</strong> a value for R to at least three s.f.</em></p>\n<p> </p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of parallel resistors addition so <em>R</em><sub>eq</sub> = 15 «Ω» <strong>✓</strong></p>\n<p><em>P</em> = 3200 «W» <strong>✓</strong></p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "b-3-gas-laws",
+      "b-5-current-and-circuits"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.6",
+    "Question": "<div class=\"specification\">\n<p>On a guitar, the strings played vibrate between two fixed points. The frequency of vibration is modified by changing the string length using a finger. The different strings have different wave speeds. When a string is plucked, a standing wave forms between the bridge and the finger.</p>\n<p>                                                       <img 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\"/></p>\n</div><div class=\"specification\">\n<p>The string is displaced 0.4 cm at point P to sound the guitar. Point P on the string vibrates with simple harmonic motion (shm) in its first harmonic with a frequency of 195 Hz. The sounding length of the string is 62 cm.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how a standing wave is produced on the string.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the speed of the wave on the string is about 240 m s<sup>−1</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch a graph to show how the acceleration of point P varies with its displacement from the rest position.</p>\n<p>                 <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjgAAAEeCAYAAACHaG9AAAAdUUlEQVR4Ae3dv24kx7UHYL+H4dxYKL82FF8YVmoIsFIrsMLrRMquIyuzMiuxQymwUusJLEC5Bb3AWi+wegJeHF4eurbZze3Z/ld/vgaoIXuqq059Z7jz0wyX+5M7BwECBAgQIECgM4GfdLYf2yFwk8BHH/3+7p13Xtx0zZbBL1++vPvgg9/efffdvx6nifWjDgcBAgQI7Ccg4OxnaaYGBc4OOJ9//pe7n/3sp68FnAbZlEyAAIHqBQSc6lukwCMFBJwjdc1NgACB6wQEnOvsh1053qaJYBGvZORHvG0T58vj66//cf92Tjnm1atXj0Om87z33q+fvDISr5i8++4vH9eJdcs55gLOm66JdaLe+Ija4i2mnPPTT//0uFbcF2NjH3FM74u145i+RRVzffLJx6/NE9fmEffH3HGuHFeulWPdEiBAYFQBAWfUzl+47wgcEQ7yiKAST87xkcc33/zz/kk8x8WYuC7HxJN8fB0fGYxibBk28u2guI1jbp1pwFlzTdSQASPmzQATc5X1xH1LNT33Mzgxf8yTY2L+2FdaZMApa4hz07XuN+0/BAgQGFRAwBm08Vdt+8svv7gPB/nknXXkqxvxRB1HPFnHE3iGlziX4SPCT34e8+WRoSjui+vi+nyVJMfEunE+xsRRBpy112TAKWvLa3PeXC/CSayXISjrLvdfvoKT9+f4nKc8nwEnQlB5pO302nKMzwkQIDCKgIAzSqcr22c8wUeoiY8MMxEEMuDEk/70CbzcQl5Thozy/nyyLwNQ3l++GlIGnLXXRMCJOeaOqD/3Vb59lKEjg8pSwCnrKefPABVzZsCZhrdYowxT5fU+J0CAwGgCAs5oHa9gvxlOIihEGIgn/bjNgJNP4HH/0pGvomQgmo7LIBFzzn3k3GWgWHtNXDsXcHIPcV+GnAxNawPO0txpEvWWn5f7FnBKDZ8TIDC6gIAz+iPg5P1niMgn/Fw+X+3IwBIhYY9XcKbr5Hp5WwacaRjJMdPbuRCSb49FsCmP6Zy5/7d9BSfmF3BKYZ8TIEBgXkDAmXdx9iCBCBT5Sk25RISG8ny+ylO+BZVhIUJCBoU4l0e+jRPX5ufTwBHhIF9hievKgLP2mrmAk/VMA1WsH/vK8zluKeDk/Tk+95bnY78CTqq4JUCAwLKAgLNs454DBPKJugweGXoiCGSgyVdEIqzEEU/qESziVZ34PD7i8ziX1+Q8cW0c+apQrJlzxHw5R5wrA87aa+YCTgSWqD/rjblyr3E+g1iGtAgwWXcErqgjj9xnhqAYG2NybgEnpdwSIEBgWUDAWbZxz0EC+apGPPHHRwSRDAPlKxfxeTyp57j4PENBlBafZ6iJMREMyutjTMwbgWZpjmnAWXPNXMCJ6yK8RBAp18p9ZaCLcJJ7innimAacGJPhLOfK62O8gHPP5j8ECBB4VkDAeZbHnQTGFvj222/v4sNBgACB1gQEnNY6pl4CJwq8//5v7n71q/8+cUVLESBAYB8BAWcfR7MQ6E7gq6/+/vh229/+9tfu9mdDBAj0LSDg9N1fuyPwVgI//vjj3YsXP38MOPF5nHMQIECgFQEBp5VOqZPAiQKfffbnx3CTP+j8xz/+74kVWIoAAQLbBAScbX6uJtCdwA8//PtJuMmQE/c5CBAg0IKAgNNCl9RI4ESBDz/83WLAiR86dhAgQKAFAQGnhS6pkcBJAvFXwvPVmqVbf238pGZYhgCBTQICziY+FxPoSyD+5lT8/E1+ZMjJr+M2xjgIECBQu4CAU3uH1EfgQoEMOBeWYGkCBAi8lYCA81ZsLiIwhoCAM0af7ZJAjwICTo9dtScCOwkIODtBmoYAgdMFBJzTyS1IoB0BAaedXqmUAIHXBQSc1z18RYBAISDgFBg+JUCgKQEBp6l2KZbAuQICzrneViNAYD8BAWc/SzMR6E5AwOmupTZEYBgBAWeYVtsogdsFBJzbzVxBgEAdAgJOHX1QBYEqBQScKtuiKAIEVggIOCuQDCEwqoCAM2rn7ZtA+wICTvs9tAMChwkIOIfRmpgAgYMFBJyDgU1PoGUBAafl7qmdwNgCAs7Y/bd7As8KCDjP8riTAIGKBQScipujNAJXCwg4V3fA+gQIvK2AgPO2cq4jMICAgDNAk22RQKcCAk6njbUtAnsICDh7KJqDAIErBAScK9StSaARAQGnkUYpkwCBJwICzhMSJwgQSAEBJyXcEiDQmoCA01rH1EvgRAEB50RsSxEgsKuAgLMrp8kI9CUg4PTVT7shMJKAgDNSt+2VwI0CAs6NYIYTIFCNgIBTTSsUQqA+AQGnvp6oiACBdQICzjonowgMKSDgDNl2mybQhYCA00UbbYLAMQICzjGuZiVA4HgBAed4YysQaFZAwGm2dQonMLyAgDP8QwAAgWUBAWfZxj0ECNQtIODU3R/VEbhUQMC5lN/iBAhsEBBwNuC5lEDvAgJO7x22PwL9Cgg4/fbWzghsFhBwNhOagACBiwQEnIvgLUugBQEBp4UuqZEAgTkBAWdOxTkCBO4FBBwPBAIEWhUQcFrtnLoJnCAg4JyAbAkCBA4REHAOYTUpgT4EBJw++mgXBEYUEHBG7Lo9E1gpIOCshDKMAIHqBASc6lqiIAL1CAg49fRCJQQI3CYg4NzmZTSBoQQEnKHabbMEuhIQcLpqp80Q2FdAwNnX02wECJwnIOCcZ20lAs0JCDjNtUzBBAg8CAg4HgoECCwKCDiLNO4gQKByAQGn8gYpj8CVAgLOlfrWJkBgi4CAs0XPtQQ6FxBwOm+w7RHoWEDA6bi5tkZgq4CAs1XQ9QQIXCUg4Fwlb10CDQgIOA00SYkECMwKCDizLE4SIBACAo7HAQECrQoIOK12Tt0EThAQcE5AtgQBAocICDiHsJqUQB8CAk4ffbQLAiMKCDgjdt2eCawUEHBWQhlGgEB1AgJOdS1REIF6BAScenqhEgIEbhMQcG7zMprAUAICzlDttlkCXQkIOF2102YI7Csg4OzraTYCBM4TEHDOs7YSgeYEBJzmWqZgAgQeBAQcDwUCBBYFBJxFGncQIFC5gIBTeYOUR+BKAQHnSn1rEyCwRUDA2aLnWgKdCwg4nTfY9gh0LCDgdNxcWyOwVUDA2SroegIErhIQcK6Sty6BBgQEnAaapEQCBGYFBJxZFicJEAgBAcfjgACBVgUEnFY7p24CJwgIOCcgW4IAgUMEBJxDWE1KoA8BAaePPtoFgREFBJwRu27PBFYKCDgroQwjQKA6AQGnupYoiEA9AgJOPb1QCQECtwkIOLd5GU1gKAEBZ6h22yyBrgQEnK7aaTME9hUQcPb1NBsBAucJCDjnWVuJQHMCAk5zLVMwAQIPAgKOhwIBAosCAs4ijTsIEKhcQMCpvEHKI3ClgIBzpb61CRDYIiDgbNFzLYHOBQSczhtsewQ6FhBwOm6urRHYKiDgbBV0PQECVwkIOFfJW5dAAwICTgNNUiIBArMCAs4si5MECISAgONxQIBAqwICTqudUzeBEwQEnBOQLUGAwCECAs4hrCYl0IeAgNNHH+2CwIgCAs6IXbdnAisFBJyVUIYRIFCdgIBTXUsURKAeAQGnnl6ohACB2wQEnNu8jCYwlICAM1S7bZZAVwICTlfttBkC+woIOPt6mo0AgfMEBJzzrK1EoDkBAae5limYAIEHAQHHQ4EAgUUBAWeRxh0ECFQuIOBU3iDlEbhSQMC5Ut/aBAhsERBwtui5lkDnAgJO5w22PQIdCwg4HTfX1ghsFRBwtgq6ngCBqwQEnKvkrUugAQEBp4EmKZEAgVkBAWeWxUkCBEJAwPE4IECgVQEBp9XOqZvACQICzgnIliBA4BABAecQVpMS6ENAwOmjj3ZBYEQBAWfErtszgZUCAs5KKMMIEKhOQMCpriUKIlCPgIBTTy9UQoDAbQICzm1eRhMYSkDAGardNkugKwEBp6t22gyBfQUEnH09zUaAwHkCAs551lYi0JyAgNNcyxRMgMCDgIDjoUCAwKKAgLNI4w4CBCoXEHAqb5DyCFwpIOBcqW9tAgS2CAg4W/RcS6BzAQGn8wbbHoGOBQScjptrawS2Cgg4WwVdT4DAVQICzlXy1iXQgICA00CTlEiAwKyAgDPL4iQBAiEg4HgcECDQqoCA02rn1E3gBAEB5wRkSxAgcIiAgHMIq0kJ9CEg4PTRR7sgMKKAgDNi1+2ZwEoBAWcllGEECFQnIOBU1xIFEahHQMCppxcqIUDgNgEB5zYvowkMJSDgDNVumyXQlYCA01U7bYbAvgICzr6eZiNA4DwBAec8aysRaE5AwGmuZQomQOBBQMDxUCBAYFFAwFmkcQcBApULCDiVN0h5BK4UEHCu1Lc2AQJbBAScLXquJdC5gIDTeYNtj0DHAgJOx821NQJbBQScrYKuJ0DgKgEB5yp56xJoQEDAaaBJSiRAYFZAwJllcZIAgRAQcDwOCBBoVUDAabVz6iZwgoCAcwKyJQgQOERAwDmE1aQE+hAQcProo10QGFFAwBmx6/ZMYKWAgLMSyjACBKoTEHCqa4mCCNQjIODU0wuVECBwm4CAc5uX0QSaEfj887/cvfPOi8cfFP7gg9/eff31P26qX8C5ictgAgQqEhBwKmqGUgjsJRBBJsLJp5/+6XHKCDhx7uXLl4/n3vSJgPMmIfcTIFCrgIBTa2fURWCDwCeffHz37ru/fG2GCDYRWL788ovXzj/3hYDznI77CBCoWUDAqbk7aiPwlgIRbj766PdPrl46/2TgwwkBZ0nGeQIEahcQcGrvkPoI3Cjw6tWrJ29P5RTvvffru/hYewg4a6WMI0CgNgEBp7aOqIfARoE3BZz4weO1h4CzVso4AgRqExBwauuIeghsFBBwNgK6nACBLgQEnC7aaBME/iPwpoDjLar/WPmMAIF+BQScfntrZwMLLP0w8dL5JSpvUS3JOE+AQO0CAk7tHVIfgbcQeO6viccvAFx7CDhrpYwjcJzADz/8++7bb789boFOZxZwOm2sbY0tkL/oL4JOHvGL/uIHjOMtrLWHgLNWyjgCxwlEuInvxQ8//N1dhB3HOgEBZ52TUQSaE5j+Uw3xszf+qYbm2qhgAvev3uT/bMTtZ5/9+e7HH38k8wYBAecNQO4mMLJA/qE6soG9E7haIF/Bye/HuP3FL/7r7quv/n51aVWvf2nAKZvl85/evwTJgYPHgMeAx4DHwNrHwPvv/8bP5yzELAHnZ76R1n4jGeex4jHgMeAxUNdj4MWLn9+/ZbXwHD/06UsDztDyNk+gAYF8MmugVCUS6FZg7i2q+N78wx/+xw8dP9N1AecZHHcRGF1AwBn9EWD/NQhMA463pdZ1RcBZ52QUgSEFBJwh227TlQlkwIm3o/xg8frmCDjrrYwkMJyAgDNcy224QoHvv//eXw1/i74IOG+B5hICowgIOKN02j4J9Ccg4PTXUzsisJuAgLMbpYkIEDhZQMA5GdxyBFoSEHBa6pZaCRAoBQScUsPnBAi8JiDgvMbhCwIEGhIQcBpqllIJnC0g4Jwtbj0CBPYSEHD2kjQPgQ4F5gLO9B/xjH+l/NZ/xLNDKlsiQKAyAQGnsoYoh0BNAtOAE0Emzn366Z8ey4yAE+devnz5eM4nBAgQuFpAwLm6A9YnULHANOB88snHd++++8vXKo5gE+O+/PKL1877ggABAlcKCDhX6lubQOUC04AT4eajj37/pOql808GOkGAAIGTBASck6AtQ6BFgTLgvHr16snbU7mn99779V18OAgQIFCLgIBTSyfUQaBCgVsCzjvvvKhwB0oiQGBUAQFn1M7bN4EVAgLOCiRDCBCoUkDAqbItiiJQh8AtAcdbVHX0TBUECPy/gIDjkUCAwKJAGXBi0NIPEy+dX5zYHQQIEDhYQMA5GNj0BFoWmAac5/6aePwCQAcBAgRqERBwaumEOghUKDANOPmL/iLo5BG/6C9+wDj+lpWDAIH/COT3S/6m7/gVC3v/MP533/3r/m83jvo/GPF7uOLPoHCYHgLOVMTXBAg8CkwDTtwx/aca4mdv8g/wxwt9QoDA/fdFfA8d+f0xesCJP4/CWMDxDUeAwE0CcwHnpgkMJjCwwPQVnCMoBBwB54jHlTkJdC8g4HTfYhvcUSD+jbb8nolXNuOt3Pg6X8GZvkUV5/Pfcotx8fZV+VZTvjoRt/GD/Dl3OWYu4EznjevKt5Vzy2W9sfb0n1uZzjN9K+i5+qKucm/lv18X68dbS+GRe4r9leuXv1g0HWNs+YpxWX/cN/0t696iyk67JUDgiUD+4fPkDicIEHhNIMNLhpm4jdAQ30N5LsfEhfEEHveXwSMDQz7R59cxLueI+2LODDnTgJNfl4EiaynPZfjIeTMs5NfffPPP+3ViXB7xedSS/7Bu1hehI89lGClrznG5r9h7BJryurkx+edP1h3XZQ3xeRx5Xex7egg4UxFfEyDwKJB/wDye8AkBAk8EMlTEk215TENDGXAiSMT3Vz7pl9fl5/nkPZ23nGe6dgSMCA/TI8JEfMSR4aUMV3E+QkkGmphjbp44F+vHkfWVe8i5pzXH3LlehqBpKIl5c80IMOGTX98veHd37xXnM4hlDdO5YryAk2puCRB4IiDgPCFxgsATgXySjSf38sgn+3wyLoNJvooRgSKuzzHl9TlvvjqS9+X5mH8acHJMhI4IWPERwSa+lzPg5PVlMMnr4jbWi/EZSMr7yj3kPGW4WKonAk4Gowgt0+ASa+R8sa8MOHlN1pDBML3ymrKGHCvgpIRbAgSeCAg4T0icIPBEYOlJNp/s88m4DAcxSQSJCCDx5J/fazEmA03Om2/H5MLlk3yuEWNzzggPMV+Ep5g/gkz5Ck6ci/uzrpw3b3POrGnuNmrK+spwkddmPTlnGXDK/c7NHXUJOCnnlgCBQwTyD59DJjcpgU4E8on+lldwpluPJ/QMHtNXWqYBp1xvGiimP6OS60Tomc77pldwop7njqzj1oBT1rI0v4CzJOM8AQK7CAg4uzCapHOBfEtnGggyAOQrJdNXcOZYyjHT63N8OWYacOLVkQwyOT7CQnk+3zqbvgUVwSPGxbEUQspXgrK+WwNOrBvrTINb+OV5ASe755YAgUMEBJxDWE3aoUA+aWeYidt4so7voTxXBpM4F/dFSMgjr8ngkQEiwkaGiDyX100DTqxRrhnhK17ViXMxTx75Sk/WNp03Xt2Ja2K+PKKuOJevVOU1WVuMm9aT14ZFzhU1xddRQ74dl+vlvtYGnLwu9pFz5Zp+Bicl3BIg8EQg/jCLDwcBAm8WyCf8+J6JMJFfZ4goA07MFk/O8YpIfp/FbT7Bx/15fb6ykfPGdXlMA0UEgww0MT6CRFyfAax81STO59oxrlw75o+6y7mi1txLWd+tASeujTCSYSzrLNdfG3DK/U5fuRJw8lHilgCBJwL5h9+TO5wgQOBwgQw4ZYA4fNGOFhBwOmqmrRDYW0DA2VvUfATWCwg4663mRgo4cyrOESBwLyDgeCAQuE5AwNlmL+Bs83M1ga4FBJyu22tzBLoWEHC6bq/NEdgmIOBs83M1AQLXCQg419lbmUD1AgJO9S1SIAECCwICzgKM0wQI3D3+FVIWBAgQaE1AwGmtY+olcKKAV3BOxLYUAQK7Cgg4u3KajEBfAgJOX/20GwIjCQg4I3XbXgncKCDg3AhmOAEC1QgIONW0QiEE6hMQcOrriYoIEFgnIOCsczKKwJACAs6QbbdpAl0ICDhdtNEmCBwjIOAc42pWAgSOFxBwjje2AoFmBQScZluncALDCwg4wz8EABBYFhBwlm3cQ4BA3QICTt39UR2BSwUEnEv5LU6AwAYBAWcDnksJ9C4g4PTeYfsj0K+AgNNvb+2MwGYBAWczoQkIELhIQMC5CN6yBFoQEHBa6JIaCRCYExBw5lScI0DgXkDA8UAgQKBVAQGn1c6pm8AJAgLOCciWIEDgEAEB5xBWkxLoQ0DA6aOPdkFgRAEBZ8Su2zOBlQICzkoowwgQqE5AwKmuJQoiUI+AgFNPL1RCgMBtAgLObV5GExhKQMAZqt02S6ArAQGnq3baDIF9BQScfT3NRoDAeQICznnWViLQnICA01zLFEyAwIOAgOOhQIDAooCAs0jjDgIEKhcQcCpvkPIIXCkg4Fypb20CBLYICDhb9FxLoHMBAafzBtsegY4FBJyOm2trBLYKCDhbBV1PgMBVAgLOVfLWJdCAgIDTQJOUSIDArICAM8viJAECISDgeBwQINCqgIDTaufUTeAEAQHnBGRLECBwiICAcwirSQn0ISDg9NFHuyAwooCAM2LX7ZnASgEBZyWUYQQIVCcg4FTXEgURqEdAwKmnFyohQOA2AQHnNi+jCQwlIOAM1W6bJdCVgIDTVTtthsC+AgLOvp5mI0DgPAEB5zxrKxFoTkDAaa5lCiZA4EFAwPFQIEBgUUDAWaRxBwEClQsIOJU3SHkErhQQcK7UtzYBAlsEBJwteq4l0LmAgNN5g22PQMcCAk7HzbU1AlsFBJytgq4nQOAqAQHnKnnrEmhAQMBpoElKJEBgVkDAmWVxkgCBEBBwPA4IEGhVQMBptXPqJnCCgIBzArIlCBA4REDAOYTVpAT6EBBw+uijXRAYUUDAGbHr9kxgpYCAsxLKMAIEqhMQcKpriYII1CMg4NTTC5UQIHCbgIBzm5fRBIYSEHCGarfNEuhKQMDpqp02Q2BfAQFnX0+zESBwnoCAc561lQg0JyDgNNcyBRMg8CAg4HgoECCwKCDgLNK4gwCBygUEnMobpDwCVwoIOFfqW5sAgS0CAs4WPdcS6FxAwOm8wbZHoGMBAafj5toaga0CAs5WQdcTIHCVgIBzlbx1CTQgIOA00CQlEiAwKyDgzLI4SYBACAg4HgcECLQqIOC02jl1EzhBQMA5AdkSBAgcIiDgHMJqUgJ9CAg4ffTRLgiMKCDgjNh1eyawUkDAWQllGAEC1QkIONW1REEE6hEQcOrphUoIELhNQMC5zctoAkMJCDhDtdtmCXQlIOB01U6bIbCvgICzr6fZCBA4T0DAOc/aSgSaExBwmmuZggkQeBAQcDwUCBBYFBBwFmncQYBA5QICTuUNUh6BKwUEnCv1rU2AwBYBAWeLnmsJdC4g4HTeYNsj0LGAgNNxc22NwFYBAWeroOsJELhKQMC5St66BBoQEHAaaJISCRCYFRBwZlmcJEAgBAQcjwMCBFoVEHBa7Zy6CZwgIOCcgGwJAgQOERBwDmE1KYE+BAScPvpoFwRGFBBwRuy6PRNYKSDgrIQyjACB6gQEnOpaoiAC9QgIOPX0QiUECNwmIODc5mU0gaEEBJyh2m2zBLoSEHC6aqfNENhXQMDZ19NsBAicJyDgnGdtJQLNCQg4zbVMwQQIPAgIOB4KBAgsCgg4izTuIECgcgEBp/IGKY/AlQICzpX61iZAYIuAgLNFz7UEOhcQcDpvsO0R6FhAwOm4ubZGYKuAgLNV0PUECFwlIOBcJW9dAg0ICDgNNEmJBAjMCgg4syxOEiAQAgKOxwEBAq0KCDitdk7dBE4QEHBOQLYEAQKHCAg4h7CalEAfAgJOH320CwIjCgg4I3bdngmsFBBwVkIZRoBAdQICTnUtURCBegQEnHp6oRICBG4TEHBu8zKawFACAs5Q7bZZAl0JCDhdtdNmCOwrIODs62k2AgTOExBwzrO2EoHmBASc5lqmYAIEHgQEHA8FAgQWBQScRRp3ECBQuYCAU3mDlEfgSgEB50p9axMgsEVAwNmi51oCnQsIOJ032PYIdCwg4HTcXFsjsFVAwNkq6HoCBK4SEHCukrcugQYEBJwGmqREAgRmBQScWRYnCRAIAQHH44AAgVYFBJxWO6duAicICDgnIFuCAIFDBAScQ1hNSqAPAQGnjz7aBYERBQScEbtuzwRWCgg4K6EMI0CgOgEBp7qWKIhAPQICTj29UAkBArcJCDi3eRlNgAABAgQINCAg4DTQJCUSIECAAAECtwkIOLd5GU2AAAECBAg0IPB/OXmSBHonHjkAAAAASUVORK5CYII=\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«travelling» wave moves along the length of the string and reflects «at fixed end» <strong>✓</strong></p>\n<p>superposition/interference of incident and reflected waves <strong>✓</strong></p>\n<p>the superposition of the reflections is reinforced only for certain wavelengths <strong>✓</strong> </p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mn>2</mn><mi>l</mi><mo>=</mo><mn>2</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>62</mn><mo>=</mo><mo>«</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo> </mo><mtext>m</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>v</mi><mo>=</mo><mi>f</mi><mi>λ</mi><mo>=</mo><mn>195</mn><mo>×</mo><mn>1</mn><mo>.</mo><mn>24</mn><mo>=</mo><mn>242</mn><mo> </mo><mo>«</mo><msup><mtext>m s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong></p>\n<p><em>Answer must be to 3 or more sf <strong>or</strong> working shown for<strong> MP2.</strong></em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>straight line through origin with negative gradient <strong>✓</strong></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.7",
+    "Question": "<div class=\"specification\">\n<p>Conservation of energy and conservation of momentum are two examples of conservation laws.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline the significance of conservation laws for physics.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>When a pi meson π- (du̅) and a proton (uud) collide, a possible outcome is a sigma baryon Σ<sup>0</sup> (uds) and a kaon meson Κ<sup>0</sup> (ds̅).</p>\n<p><br/>Apply <strong>three</strong> conservation laws to show that this interaction is possible.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>they express fundamental principles of nature <strong>✓</strong></p>\n<p>allow to model situations <strong>✓</strong></p>\n<p>allow to calculate unknown variables <strong>✓</strong></p>\n<p>allow to predict possible outcomes <strong>✓</strong></p>\n<p>allow to predict missing quantities/particles <strong>✓</strong></p>\n<p>allow comparison of different system states <strong>✓</strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>three correct conservation laws listed <strong>✓</strong></p>\n<p>at least one conservation law correctly demonstrated <strong>✓</strong></p>\n<p>all three conservation laws correctly demonstrated <strong>✓</strong></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "",
+    "topics": [
+      "nature-of-science"
+    ],
+    "subtopics": []
+  },
+  {
+    "question_id": "21M.2.SL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how a standing wave is produced on the string.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the speed of the wave on the string is about 240 m s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch a graph to show how the acceleration of point P varies with its displacement from the rest position.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The string is made to vibrate in its third harmonic. State the distance between consecutive nodes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «travelling» wave moves along the length of the string and reflects «at fixed end»\n  <strong>\n   ✓\n  </strong>\n </p>\n <p>\n  superposition/interference of incident and reflected waves\n  <strong>\n   ✓\n  </strong>\n </p>\n <p>\n  the superposition of the reflections is reinforced only for certain wavelengths\n  <strong>\n   ✓\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mi>\n    l\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    62\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    24\n   </mn>\n   <mo>\n   </mo>\n   <mtext>\n    m\n   </mtext>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    f\n   </mi>\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    195\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    24\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    242\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <msup>\n    <mtext>\n     m s\n    </mtext>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   Answer must be to 3 or more sf or working shown for\n   <strong>\n    MP2.\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  straight line through origin with negative gradient\n  <strong>\n   ✓\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     62\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mtext>\n    cm\n   </mtext>\n   <mo>\n    »\n   </mo>\n  </math>\n  <strong>\n   ✓\n  </strong>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.1",
+    "Question": "<div class=\"specification\">\n<p>A football player kicks a stationary ball of mass 0.45 kg towards a wall. The initial speed of the ball after the kick is 19 m s<sup>−1</sup> and the ball does not rotate. Air resistance is negligible and there is no wind.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The player’s foot is in contact with the ball for 55 ms. Calculate the average force that acts on the ball due to the football player.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The ball leaves the ground at an angle of 22°. The horizontal distance from the initial position of the edge of the ball to the wall is 11 m. Calculate the time taken for the ball to reach the wall.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The top of the wall is 2.4 m above the ground. Deduce whether the ball will hit the wall.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>In practice, air resistance affects the ball. Outline the effect that air resistance has on the vertical acceleration of the ball. Take the direction of the acceleration due to gravity to be positive.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The player kicks the ball again. It rolls along the ground without sliding with a horizontal velocity of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>1</mn><mo>.</mo><mn>40</mn><mo> </mo><msup><mtext>m s</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></math>. The radius of the ball is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>11</mn><mo> </mo><mtext>m</mtext></math>. Calculate the angular velocity of the ball. State an appropriate SI unit for your answer.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>Δ</mtext><mi>p</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>45</mn><mo>×</mo><mn>19</mn><mo> </mo><mtext mathvariant=\"bold-italic\">OR  </mtext><mi>a</mi><mo> </mo><mo>=</mo><mfrac><mn>19</mn><mrow><mn>0</mn><mo>.</mo><mn>055</mn></mrow></mfrac></math> <strong>✓</strong> </p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mo>=</mo><mi>F</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>45</mn><mo>×</mo><mn>19</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>055</mn></mrow></mfrac><mo>»</mo><mn>160</mn><mo> </mo><mo>«</mo><mtext>N</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><em>Allow <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Allow <strong>ECF</strong> for <strong>MP2</strong> if 19 sin22 <strong>OR</strong> 19 cos22 used.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>horizontal speed =</mtext><mo> </mo><mn>19</mn><mo>×</mo><mi>cos</mi><mo> </mo><mn>22</mn><mo> </mo><mo>«</mo><mo>=</mo><mn>17</mn><mo>.</mo><mn>6</mn><msup><mtext> m s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong> </p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>time</mtext><mo>=</mo><mo>«</mo><mfrac><mtext>distance</mtext><mtext>speed</mtext></mfrac><mo>=</mo><mfrac><mn>11</mn><mrow><mn>19</mn><mo> </mo><mi>cos</mi><mo> </mo><mn>22</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>0</mn><mo>.</mo><mn>62</mn><mo> </mo><mo>«</mo><mtext>s</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><em>Allow <strong>ECF</strong> for <strong>MP2</strong></em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mtext>initial vertical speed</mtext><mo>=</mo><mn>19</mn><mo>×</mo><mi>sin</mi><mo> </mo><mn>22</mn><mo> </mo><mo>«</mo><mo>=</mo><mo> </mo><mn>7</mn><mo>.</mo><mn>1</mn><mo> </mo><msup><mtext>m s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></math> <strong>✓</strong> </p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>«</mo><mn>7</mn><mo>.</mo><mn>12</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>624</mn><mo>-</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo>×</mo><mn>9</mn><mo>.</mo><mn>81</mn><mo>×</mo><mn>0</mn><mo>.</mo><msup><mn>624</mn><mn>2</mn></msup><mo>=</mo><mo>»</mo><mo> </mo><mn>2</mn><mo>.</mo><mn>5</mn><mo> </mo><mo>«</mo><mtext>m</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p>ball does not hit wall <em><strong>OR</strong> </em>2.5 «m» &gt; 2.4 «m» <strong>✓</strong></p>\n<p><em><br/>Allow <strong>ECF</strong> from (b)(i) and from <strong>MP1</strong> </em></p>\n<p><em>Allow g = 10 m s<sup>−2</sup></em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>air resistance opposes «direction of» motion<br/><em><strong>OR</strong></em><br/>air resistance opposes velocity <strong>✓</strong></p>\n<p>on the way up «vertical» acceleration is increased <em><strong>OR</strong> </em>greater than g <strong>✓</strong></p>\n<p>on the way down «vertical» acceleration is decreased <em><strong>OR</strong> </em>smaller than g <strong>✓</strong></p>\n<p><em><br/>Allow deceleration/acceleration but meaning must be clear</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>13</mn><mo> </mo><mo>«</mo><mtext>rad</mtext><mo>»</mo><mo> </mo><msup><mtext>s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup></math><strong>✓</strong></p>\n<p><em><br/>Unit must be seen for mark</em></p>\n<p><em>Accept Hz</em></p>\n<p><em>Accept <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>4</mn><mo> </mo><mi>π</mi><mo> </mo><mo>«</mo><mtext>rad</mtext><mo>»</mo><mo> </mo><msup><mtext>s</mtext><mrow><mo>-</mo><mn>1</mn></mrow></msup></math></em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.5",
+    "Question": "<div class=\"specification\">\n<p>A vertical tube, open at both ends, is completely immersed in a container of water. A loudspeaker above the container connected to a signal generator emits sound. As the tube is raised the loudness of the sound heard reaches a maximum because a standing wave has formed in the tube.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe <strong>two</strong> ways in which standing waves differ from travelling waves.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline how a standing wave forms in the tube.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The tube is raised until the loudness of the sound reaches a maximum for a <strong>second time</strong>.</p>\n<p>Draw, on the following diagram, the position of the nodes in the tube when the second maximum is heard.</p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAtIAAAFHCAYAAACMKavHAAAgAElEQVR4Ae3dQY812V0ecH+PiA3yAo1mH6zZBSHLsyUYD4QQ4UgeS0RgiXicBVgi8pANXsTxKAgrbDxIWGTDjBTIhsgjzYKdR7NHg7/AWGJ/o6c1/5d6izq3q2/fe86tql9J7dtdt+r8z/lV1bnPW67u+dzJQoAAAQIECBAgQIDAkwU+9+Q97ECAAAECBAgQIECAwEmQdhIQIECAAAECBAgQuEDgpSD9cz/3r06+GDgHnAPOAeeAc8A54BxwDjgHXj4HlnL2vwjSSxtZR4AAAQIECBAgQOCoAvlHxdIiSC+pWEeAAAECBAgQIEDgMwFB2qlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgAABAgQIECBA4AIBQfoCNLsQIECAAAECBAgQEKSdAwQIECBAgAABAgQuEBCkL0CzCwECBAgQIECAAAFB2jlAgACBAwt8+OGHp+nXT3/6jwfWMHQCBAg8TUCQfpqXrQkQILBpgZ/97GenH/zgz05f/OIvn/IBkNdf/dVfefH1yiu/cMrXN77xew8Be9OD1XkCBAjcWECQvjGw5gkQIHAvAgnQCckJzj/60V+eEqqXlo8//vj07W//4Ytt3aVeUrKOAAECp4cbEksOn5uubKXt6Ta+J0CAAIH7FEhgTnj+xV/810+6y5z9KlAneFsIECBA4GWBVkYWpF928hMBAgQ2KZAwnMc3vvrV327egX5sYHmGOneyhenHpLxPgMDRBATpox1x4yVA4FACuROd552fu+Rxj4Tpv/mb//PcpuxPgACB3QgI0rs5lAZCgACBlwW++90/ebgb3XoW+uWtH/8pd6QTpq/V3uMVbUGAAIH7FhCk7/v46B0BAgQuEsgvCCb05k7yNZc8InKNO9xvv/2d06uvvnLNrj3aVmq+/vqXHt1uqxt88sknp/fff2+r3ddvApsUEKQ3edh0mgABAucFcjf6GoF3XiUBPR8cW7wrvfcgnX8kZIwWAgT6CQjS/axVIkCAQDeB+V/oSLDO89LnAnC2yYdC9j13Jzt3pbf4i4eCdLfTTyEChxEQpA9zqA2UAIGjCNQvBs7He+6xjPrLHNk3f286Ybq15P209djy1lvffAjm+aDJYxzvvPP9F7sk1E4f7chjCW+88ZUX29f7tU+F4Gmb2T771ZLHGqZtpG72q6XaqJ+XXt9882sv+pC28pV1tXz00U9eqjHvQ+4KZ/tpP9Ln6fJYG+ln9k9bGUPtn/X5ub7yftrKUtvmvanrdJ/5Mfj0009ftF9tTj2nffY9AQLLArl2lhZ//m5JxToCBAhsQCB/WSN3n+fLuccy8hhI7kjXkiDd+gsdCd3ngnbaSAB+7bUvvAi67777w4fQ9sEHP34okYA3DXwJggmPWRLwKohOg3Q+sCpUJvCl/fo5+8yDYoXIac3UaS1pK+9XmMzPqVlBeqlG+pl+1FKBNuPNknCfNurnNW1Uv2uf9CfrUif7Z6nxl1nWpXa2qyX9zj4VtusYlGnaSt/KpLar/b0SIPC4QK6hpUWQXlKxjgABAhsQSCCehuJpl1uPZeQXE6f/BcPcdT73jHXrw6NqJYROg1+tr9cEvgrSFfAqwGabhLrUqNA33b7aqOBbP89fq40KpGmjQuN829ROvdq23s8YKkjXPw7qvXrNOGq/tD8Nt9kmbVTAXdPG0lir1vS1gnKtmwbp1njquGSfCtJlXO14JUBgvUBrLhSk1xvakgABAsMFEoLrkYtM7N/61luLfcqzzfPHMnLnOf/RlumS9hKuW0vrw6O2rzum2a4C3jQoT8NiglyF6to/r9M7zEsheGld2sr6upuc+hUUl7averlrnW3nd2UTiitI5zXbLH1VjRprtZvX6bo1baSfSx7pW96rcaQf0+2mdepO+Hw86Wf2S4gWpKdHyfcELhPI9bS0CNJLKtYRIEDgTgTyS4MJwLlrnMcsEnrrbnP+s975WlqyXyb+6S8dpo2E8PmScN16vKP14TFvI4EuwS93ZbNP3bmdhsXp99P9nxKkEwpTo8Jk2qxwXCE36/L+0tIKnvMgPb/bPG+r6k/XT9clSD/WxpJHBeD8AyHvxzFtCdJTad8T6C/QmgsF6f7HQkUCBAicFcgvAuaRjTz/nMk7QTc/z//CRsLv0jPS1XgCdz36Uc9NTx/rqO0SrpfayTPS8zvYtc+51wTICrLTsJhQmPFM71jXYxnnQvA0GGe7aahMPyocn2uj+tt6FGL6aMe0z7Xf/HUamuu96bo1bSxtM/1HxbTd6ZindVrj8WhH6XklcB0BQfo6jlohQIDA1QUSbvMoRu4Y545z7jzn+wTl6R3leeHHHsuov9CRdhKq0+bSkhqpO79bnZ9b+1Q7uVuaYJc7xVkS7KbPCs/DYratO7XZJ9/nA+pcCE4b2S9LhfH6xcIE8bz3WBsPO3/2PwmZ2acCfT0ekrFkyfoE1+pn1qV/qVGPUGT/9Gu6TNetaWNuk7ZiN62bbVJ3HqTT51oqNFffyqhMPdpRUl4JXC6Q63BpcUd6ScU6AgQI3FggITePZeSObyboBN0E1/ld58e6ce6vbmTfBPTUSPvnQnnqzu8+5+fH/o50QloCaMZQX9OAOQ+LCZgVnrN9BdSEvyzZPoF0uszX5eeqleCZffNa4XK+/bSt+n7a5/rHQO2fbRJKp/1Mn3Lnu5ZpaG6te6yN9HMakKtu2q7xpW9lVMG/gnK2qX/A1DZZF4sK0WlTkK4j5JXA5QK5tpYWQXpJxToCBAhcWSB3jxOUE2gzISekJki3nk1eWz5tLj2WsXb/1nZ1N/tc+G7t+5T1CYfxqDvMT9n3mtvOw+c129YWAQLbFxCkt38MjYAAgQ0JJIAmJOfRiPkvCS49p3zp0OqxjATfay4J5/V89bXarV8KrLvPaTd3fRNiey65Czy9+1x3c+vRiJ59UYsAgW0ICNLbOE56SYDAhgXW/pLgtYeYwJ5nnK919zh3uRP+r9XedLwJrQmy+VDKV4J0PbIw3e6W3+cRjenjE/PHNm5ZW9sECGxTQJDe5nHTawIE7lggQfOSXxK8xZBy5zuPizw3/GY8CeVPfVb7FmPSJgECBO5FQJC+lyOhHwQIbFpg/kuCeQTikl8SvAVChelLHx3JOIToWxwZbRIgsHUBQXrrR1D/CRAYIjD9JcGEzDzycI1fErzVYNK39DOheO2SMeYfBBmbO9Fr1WxHgMCRBATpIx1tYyVA4GKBPBqRZ44TSG/5S4IXd3DFjrlrnsc8KvQv/SJiPZZSf0Uk433uYyErumYTAgQIbFJAkN7kYdNpAgR6COQubO7g5q5sJsuE0PzFiqUA2qM/16qR/tdfDcm4cqc6Y8v3+arHUgToa4lrhwCBvQpkzlxa/B3pJRXrCBDYtUDdjU3IrMc18n1+0W7PoTKPcGz9Hwe7PjENjgCBuxUQpO/20OgYAQI9BBIg8/hC3ZGtu7GeCe6hrwYBAgS2LSBIb/v46T0BAk8U2NovCT5xeDYnQIAAgY4CgnRHbKUIEOgvkEcytv5Lgv3VVCRAgACBNQKC9Bol2xAgsCmBvf6S4KYOgs4SIEDgAAKC9AEOsiES2IJAJqNrfeXPux3hlwS3cFz1kQABAnsWEKT3fHSN7dkCb7/9ndPrr3/p2e2ca+DTTz99CJDvv//euc26vpe+ZHJI33otrcnoqfWv1c5T69qeAAECBI4n0PrM8efvjncuGPGCgCAtSC+cFlYRIECAAIEHAUHaiUDgjIAgLUifOT28RYAAAQIHFxCkD34CGP55gXmQ/uSTT05vvvm1F8/y5rGP6SMZ8+3T+nxd2njjja+8aOOdd77/0qMd8/fnNV599ZWHPszbmI7ko49+8lKNbJt2a5mPIxNBtqlHOeaPdtTPGUst7777w9Nrr33hxTjeeuub9dZDO2kz6/Kar2n9FxtOvsk211iu1c41+qINAgQIENi3QOszx6Md+z7uRrdSYB6CExyngbOCYoJrlvn2S+uqjbyX4JqgnAuxAnnaz1ctqZHwXEu+z/YJ4FmyX9bVz2lz+nO2SXupW0tqTmtUUK426ue0Vd/Xe9OaeS9LQnLazD8ysmS/9DHrspTPww+N/2lNRo3Nm6uv1U6zgDcIECBAgMBnAq3PHEHaKUJgFoxzBzYXzPzOagJq3Y19LEgvtfHBBz9+KUhPg/bSQUhIroBa76d+BeUE3vq+3s9r9kv91pL3axwVnqu/0xCd/RPCa9tqr8YRnwrS8/1q26XX1mS0tO25dddq51wN7xEgQIAAgQi0PnMEaecHgVmQTkhO2JwvuQtbwfaxIJ1gOW+jQmfd3a0Qm4szgTVtTpfsP183bXf66EnamH5Ng21CctrJV9rMdnVHedqHrK++VT9q+2nb9X0CdY1pWq/2bb1m/2ss12rnGn3RBgECBAjsW6D1mSNI7/u4G91KgYTMaUieh+A0c+0gXV1LCE39XKSpW3fC833WT5d5kJ4+tjHdrr7P+9VO2sqjF/l5HqTTbrad3+HOtudCsiBd0l4JECBAYM8CgvSej66xPVtgGqTrMYcKtNV4QmY95pDt56EzQbTCeN3pnbZRj0TM7/pW+3mt0Fvfz4Ny6leN9CHbt5aE5lz4qVtLgu9SkM769HVaP/uk1rwP1VZeBemphu8JECBAYK8CgvRej6xxXUVgGqTTYAXIBMUsCbC5iOqX6SpsVyiunyvkTtvI92kngTRt1D4J4nVnONtU+K73E2qzfd0Rnr9fwXcadLNt9TPvT/ef9qHqVps1zun+6VONq/qQddm3/hGR/aY18v5jS7a/xnKtdq7RF20QIECAwL4FWp85Hu3Y93E3upUC8yCdgJjAmAsnXwmrFXCryewzfX96tzjbTINrtquQWu0klFe4zvsJp9PAmiCd9xPO6/0E2+kybyPbVvvZLttXIK8+TIPwPEhnn7Qx/QdB2kjfsn++0qe60y5IT4+G7wkQIEBgrwL5/FtaBOklFesI3IHA/DGLO+jSVbrQmoye2vi12nlqXdsTIECAwPEEWp85gvTxzgUj3oiAIH3+QLUmtfN7eZcAAQIECDxdoPWZI0g/3dIeBLoI7DFI/+xnP3vxiEgmped+pT0LAQIECBC4tYAgfWth7RMg8KjAN77xe6cvfvGXH91uzQbf/vYfPrQlTK/Rsg0BAgQIPEdAkH6Onn0JEHi2QIXoawbfW7T57IFqgAABAgR2JyBI7+6QGhCB7Qj84Ad/dnrllV84XTNEZ/RpL3e4E6gtBAgQIEDgVgKC9K1ktUuAwFmBH/3oLx9C9Mcff3x2u0vfFKYvlbMfAQIECKwVEKTXStmOAIGrCXz44YcPv1B4qxBdHU2Yzh3v3Pm2ECBAgACBawsI0tcW1R4BAmcFEp4TbnNHusfSu16PMalBgAABAvchIEjfx3HQCwKHEBgValM3k13uhFsIECBAgMC1BATpa0lqhwCBswKjn1m+9TPZZwfvTQIECBDYpYAgvcvDalAE7ktgdIguDWG6JLwSIECAwDUEBOlrKGqDAIGzAplo7u3rbIe9SYAAAQIEVggI0iuQbEKAwPMEfvrTf7z634p+To/yzLSFAAECBAg8V0CQfq6g/QkQIECAAAECBA4pIEgf8rAbNAECBAgQIECAwHMFBOnnCtqfAAECBAgQIEDgkAKC9CEPu0ETIECAAAECBAg8V0CQfq6g/QkQIECAAAECBA4pIEgf8rAbNIExAq0Jp1dvRtfvNU51CBAgQKCPQOtz5XPT8q2Nptv4ngABAo8JjJ5LRtd/zMf7BAgQILAtgdbniiC9reOotwQ2IdCacHp1fnT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuNUhwABAgT6CLQ+VwTpPv6qEDiUQGvC6YUwun6vcapDgAABAn0EWp8rgnQff1UIHEqgNeH0Qhhdv9c41SFAgACBPgKtzxVBuo+/KgQOJdCacHohjK7fa5zqECBAgEAfgdbniiDdx18VAocSaE04vRBG1+81TnUIECBAoI9A63NFkO7jrwqBQwm0JpxeCKPr9xqnOgQIECDQR6D1uSJI9/FXhcChBFoTTi+E0fV7jVMdAgQIEOgj0PpcEaT7+KtC4FACrQmnF8Lo+r3GqQ4BAgQI9BFofa4I0n38VSFwKIHWhNMLYXT9XuO8VZ3333/v9Mknn9yq+Zu2+9S+v/32d06vvvrKTfukcQIEti/Q+lwRpLd/bI2AwN0JtCacXh0dXb/XOG9R59NPPz3FL4F0a8uW+741a/0lcDSB1ueKIH20M8F4CXQQaE04HUo/lBhdv9c4b1Fny2F0y32/xbHUJgEC1xNofa4I0tcz1hIBAp8JtCacXkCj6/caZ+q89toXTm+99c0XJd9994cPd5Snj2a88cZXXmyT9W+++bWHbeKUr7yfEFpBtNZnuyxZP93n9de/9NId6zwekTayPvtO+/OiY599k/eq/Wz/0Uc/ebHJO+98/2E89f68nWyffqTWfJtW33Nnfbp99kt/a5k+2lFtpG6NJY99pF/TJcZxn/ch20zbqPenx2Laju8JENiOQK7npUWQXlKxjgCBZwm0JpxnNfqEnUfXf0JXn71pQl9CXS0VVBP2siTExaMe1UhATLCsJevzfoXFCoK1fbab75Nts0+F4ITR/DytWe1PXxOC09cKlulH9b3arDbSdt6rMF/9mNapvtc+877n53kQrr5+8MGPH7q2FKRTdz626nNqps3yyfoK+Gmw+pB1Waqdhx/8DwECmxXI3LO0CNJLKtYRIPAsgdaE86xGn7Dz6PpP6OqzN00gzHgr6CUEJqDW3dyEzMd+mS7v1/YVBCsoztuvDk9rTMNovT9/Tf/Szwrs8/fT7+pDvZe+T8c2D/TZLvulfpZ536ud6WuCbdqs8D3te+0/7WP1uzym4652p0ZLbdR2XgkQ2K5A5o2lRZBeUrGOwCCB1oU6qDsXlx09jtH1L4Zb2HHNWOqua0Jfvk+wS8DMknCa8DddEiITICtEpkbd+a0gWMGx7hRnm/lXtVvtTGvMv6+wWe1O36+a0wCb9yv01j4J0qk1Xabrqp3avrZLu9kvFjWGqjXt+9L+83XxrTbmrxljbV/tVx+8EiCwbYFc70uLIL2kYh2BQQKtC3VQdy4uO3oco+tfDLew4699+cun1ldtnkCbr4S3CsQVqPNad1+zfbbLugTIfCWs5ufar4JghdG0mffPLdMw2tpuRJDOWPIPigrb6Wf1o4LutO/zsWcs83WxqH2Xxlrbn9tmaT/rCBC4b4HW54ogfd/HTe8OJtC6ULfGMHoco+tf83itGUuCcgJeQnKF5roTnf3rsY+6w5swWUuC37kgnUCdNqb71L71Og2jtW7+Wo9ItALm2kc7Umu6VEjOugqx5/4RUOOpfkz7Pt9/qc3Ui3NrqTaq/dZ21hMgsC2B1lwsSG/rOOrtzgVaF+rWhj16HKPrX/N4rRlLhdRsW6E5gTo/J/jVUttVyEvoSyjMdvM70hXIs2/ayFe1nTCa4FvtTMNo1Vp6TY3sV+1kv+pz9bfqJvRn2+pX9WNNkK42qs36R0DazDhSc6nvFYIriKfmfF21WftnmxrXdPvp+1lvIUBg2wKZN5YWQXpJxToCgwRaF+qg7lxcdvQ4Rte/GG5hx7VjSUBM8KxlHpprfYJg7kCn3Xwl8E2DYLarZ4nTZpaEyWxT+8wfb1gbpNPWtJ20Pw2t6VvGUHXOheaHjn0W8qfbzfue96q9tF01sl2Wad/noTnvL62rNqrd/GOk/nFQ2wvSdYS8EtiHQK73pUWQXlKxjsAggdaFOqg7F5cdPY7R9S+GW9hxT2NZGJ5VBAgQ2IRAay4WpDdx+HTyKAKtC3Vr4x89jtH1r3m89jSWa7poiwABAj0FWnOxIN3zKKhF4BGB1oX6yG539/bocYyuf80DsqexXNNFWwQIEOgp0JqLBemeR0EtAo8ItC7UR3a7u7dHj2N0/WsekD2N5Zou2iJAgEBPgdZcLEj3PApqEXhEoHWhPrLb3b09ehyj61/zgOxpLNd00RYBAgR6CrTmYkG651FQi8AjAq0L9ZHd7u7t0eMYXf+aB2RPY7mmi7YIECDQU6A1FwvSPY+CWgQeEWhdqI/sdndvjx7H6PrXPCB7Gss1XbRFgACBngKtuViQ7nkU1CLwiEAu1Pf++q83/zV6HKPrX/MYtibvR04lbxMgQIDAFQVac7EgfUVkTRF4rkAu1A8//HDzX6PHMbr+NY9ha/J+7rlmfwIECBBYL9CaiwXp9Ya2JHBzgb0EwNHjGF1fkL75paIAAQIEugoI0l25FSNwmcBeAuDocYyuL0hfdv7biwABAvcqIEjf65HRLwITgb0EwNHjGF1fkJ6c1L4lQIDADgQE6R0cREPYv8BeAuDocYyuL0jv/1o1QgIEjiUgSB/reBvtRgX2EgBHj2N0fUF6oxegbvNuFt8AABHqSURBVBMgQKAhIEg3YKwmcE8CewmAo8cxur4gfU9Xlb4QIEDg+QKC9PMNtUDg5gJ7CYCjxzG6viB980tFAQIECHQVEKS7citG4DKBvQTA0eMYXV+Qvuz8txcBAgTuVUCQvtcjo18EJgJ7CYCjxzG6viA9Oal9S4AAgR0ICNI7OIiGsH+BvQTA0eMYXV+Q3v+1aoQECBxLQJA+1vE22o0K7CUAjh7H6PqC9EYvQN0mQIBAQ0CQbsBYTeCeBPYSAEePY3R9Qfqerip9IUCAwPMFBOnnG2qBwM0F9hIAR49jdP3eQfqTTz45vf/+e6vPz2wbo08//XT1PjYkQIDAkQUyZy4tn5uubG003cb3BAjcTmAvAXD0OEbX7x2kX3/9S6e33/7O6hNTkF5NZUMCBAg8CLQysiDtBCFwRwJ7CYCjxzG6viB9RxeVrhAgQOAKAoL0FRA1QeDWAnsJgKPHMbp+zyCdu9EZb75effWVh1N06Q71dF3dkX7nne+/2PeNN75yyiMi0+Xdd394eu21L7zY5q23vjl92/cECBA4jEDm2KXFHeklFesIDBLYSwAcPY7R9XsG6Zyq05C89PN8XQXphOd6TjrfJzTXkm0SzPOaJSE7dd5882u1iVcCBAgcRkCQPsyhNtAtC+wlAI4ex+j6twzS//AP/3D6p3/6p5dO80uD9Ecf/eRFOwnKcctd6CwJ1vM70B988OOHbeZ3rl804hsCBAjsVCDz49LijvSSinUEBgnsJQCOHsfo+tcO0n//939/+u53v3v66m//9unf/cZvnD7++OOXztBLgnQ9BjJtKOvyuEeWfB/Hpa8EagsBAgSOJJC5cGkRpJdUrCMwSGAvAXD0OEbXf26Q/r9/+7enP//z/3X6T7/zO6d/+yu/cvr6179++h/f+94pd6OXllsF6QrVSzWtI0CAwJEEBOkjHW1j3azA1gNgBcjR4xhdvxye8vree399+m9//Men//jVr55+7ctffgjR3/vefz99/vM//+j5vBSk549l5A5z/Ym8ekZ6+ohGPdpRz0SnzTzeYSFAgACB08P/O7fk4I70kop1BAYJbDEALoXF0eMYXX/JZL7u//3d353+4i/ePf2Xb33r9O9/8zdP/+G3fuvh+6ybbpuxPLYk9E6Dc77PLw5WUM7PaWcepCso5xcO833aqSXPSmef6V3p/KLh9BcSa1uvBAgQ2LtAay4WpPd+5I1vUwK5UKchaqvfjx7H6Pqt45ZHNnKXOY9s5K5z7j7nLnTuRrf2aU3e0xO7Qm+2TSiuYJyf85UAPb1rXXeks762SZCuv+BRbc///F22qXBe23glQIDAEQQyVy4tgvSSinUEBgnkQm0Fqi2tHz2O0fWnxyoh+b/+0R89hObf+PVffwjRef45oXq6Xev71uQ96BRVlgABAocUaM3FgvQhTweDvleBewqArWC3Zv3ocYysn0c2EpT/8+///inBOY9s/OEf/MHDYxxr7ObbtCbvez2H9YsAAQJ7FGjNxYL0Ho+2MW1WYGQAnAe45/w8ehy969cjG19/880Xj2zkEY5zj2ys9W1N3ps9yXWcAAECGxRozcWC9AYPpi7vV6B3AFwb5p663ehx9Kj/v//qrx7uNOeOc+48/97v/u7DnejckX6q17ntW5P3fq8CIyNAgMD9CbTmYkH6/o6VHh1YoEcAPBfarvXe6HHcon49spFfFKxHNvLscwL1tdyW2mlN3ge+TAydAAEC3QVac7Eg3f1QKEigLXCLALgUzm69bvQ4rlU/j2Z897t/8uJvO+fRjTyysfYXBa/h3Jq822eRdwgQIEDg2gKtuViQvra09gg8Q+BaAfAaAe45bYwex3Pq5+8455cD65GN/J3nrLv2IxtrfVuT9zNOM7sSIECAwBMFWnOxIP1ESJsTuKXAcwLg2mDWY7vR43hK/dxdrv8cd/1t5zyycY1fFLyGdWvyvuV5qG0CBAgQeFmgNRcL0i87+YnAUIGnBMBrhLRbtTF6HI/VT0ie/+e4//RP/2fXRzbW2rcm76EnquIECBA4mEBrLhakD3YiGO59CzwWANeGr9HbjR7HvH4ey6j/HHf9omA9sjHa6rH6rcn7vs9kvSNAgMC+BFpzsSC9r+NsNBsXmAfAx0LWvb4/ehypX3/b+Sn/Oe579GxN3hs/1XWfAAECmxJozcWC9KYOo87uXWB0AL1WkBw9jl/6pX/z8CfqEqLz/POoXxS8hmdr8t77tWB8BAgQuCeB1lwsSN/TUdKXwwuMDqDXCH5pY/Q4Pv/5n7/p33a+ltOadlqT9+EvFgAECBDoKNCaiwXpjgdBKQKPCYwOoGuC3ZptRo9jdP01Rmu3aU3ej51L3idAgACB6wm05mJB+nrGWiLwbIG9BMDR4xhdf21IXrNda/J+9smmAQIECBBYLdCaiwXp1YQ2JHB7gb0EwNHjGF1/TUBeu01r8r792agCAQIECJRAay4WpEvIK4E7ENhLABw9jtH114bkNdu1Ju87OF11gQABAocRaM3FgvRhTgED3YLAXgLg6HGMrr8mIK/dpjV5b+F81kcCBAjsRaA1FwvSeznCxrELgb0EwNHjGF1/bUhes11r8t7FCW8QBAgQ2IhAay4WpDdyAHXzGAJ7CYCjxzG6/pqAvHab1uR9jCvCKAkQIHAfAq25WJC+j+OjFwQeBPYSAEePY3T9tSF5zXatydslQ4AAAQL9BFpzsSDd7xioROBRgb0EwNHjGF1/TUBeu01r8n70ZLIBAQIECFxNoDUXC9JXI9YQgecL7CUAjh7H6PprQ/Ka7VqT9/PPNi0QIECAwFqB1lwsSK8VtB2BDgJ7CYCjxzG6/pqAvHab1uTd4XRUggABAgQ+E2jNxYK0U4TAHQnsJQCOHsfo+mtD8prtWpP3HZ22ukKAAIHdC7TmYkF694feALcksJcAOHoco+uvCchrt2lN3ls6r/WVAAECWxdozcWC9NaPrP7vSmAvAXD0OEbXXxuS12zXmrx3deIbDAECBO5coDUXC9J3fuB071gCewmAo8cxuv6agLx2m9bkfawrw2gJECAwVqA1FwvSY4+L6gReEthLABw9jtH114bkNdu1Ju+XThw/ECBAgMBNBVpzsSB9U3aNE3iawF4C4OhxjK6/JiCv3aY1eT/tzLI1AQIECDxHoDUXC9LPUbUvgSsL7CUAjh7H6PprQ/Ka7VqT95VPPc0RIECAwBmB1lwsSJ9B8xaB3gJ7CYCjxzG6/pqAvHab1uTd+9xUjwABAkcWaM3FgvSRzwpjvzuBvQTA0eMYXX9tSF6zXWvyvruTV4cIECCwY4HWXCxI7/igG9r2BPYSAEePY3T9NQF57TatyXt7Z7ceEyBAYLsCrblYkN7uMdXzHQrsJQCOHsfo+mtD8prtWpP3Dk9/QyJAgMDdCrTmYkH6bg+Zjh1RYC8BcPQ4RtdfE5DXbtOavI94fRgzAQIERgm05mJBetQRUZfAgsBeAuDocYyuvzYkr9muNXkvnD5WESBAgMCNBFpzsSB9I3DNErhEYC8BcPQ4RtdfE5DXbtOavC85v+xDgAABApcJtOZiQfoyT3sRuInAngLg2qBouw9P5wxak/dNTkCNEiBAgMCiQGsuFqQXuawkMEZAkD4fKs8Fzr2+15q8x5yhqhIgQOCYAq25WJA+5vlg1HcqIEgL0vN/ELQm7zs9hXWLAAECuxRozcWC9C4Pt0FtVUCQFqQF6a1evfpNgMCeBQTpPR9dY9uNgCAtSAvSu7mcDYQAgR0JCNI7OpiGsl8BQVqQFqT3e30bGQEC2xUQpLd77PT8QAKCtCAtSB/ogjdUAgQ2IyBIb+ZQ6eiRBQRpQVqQPvIMYOwECNyrgCB9r0dGvwhMBARpQVqQnlwQviVAgMCdCAjSd3IgdIPAOQFBWpAWpM9dId4jQIDAGAFBeoy7qgSeJCBIC9KC9JMuGRsTIECgi4Ag3YVZEQLPExCkBWlB+nnXkL0JECBwCwFB+haq2iRwZQFBWpAWpK98UWmOAAECVxAQpK+AqAkCtxYQpAVpQfrWV5n2CRAg8HQBQfrpZvYg0F1AkBakBenul52CBAgQeFRAkH6UyAYExgsI0oK0ID3+OtQDAgQIzAUE6bmInwncoYAgLUgL0nd4YeoSAQKHFxCkD38KANiCgCAtSAvSW7hS9ZEAgaMJCNJHO+LGu0kBQVqQFqQ3eenqNAECOxcQpHd+gA1vHwKCtCAtSO/jWjYKAgT2JSBI7+t4Gs1OBQRpQVqQ3unFbVgECGxaQJDe9OHT+aMICNKCtCB9lKvdOAkQ2JKAIL2lo6WvhxUQpAVpQfqwl7+BEyBwxwKC9B0fHF0jUAKCtCAtSNfV4JUAAQL3IyBI38+x0BMCTQFBWpAWpJuXhzcIECAwTECQHkavMIH1AoK0IC1Ir79ebEmAAIFeAoJ0L2l1CDxDQJAWpAXpZ1xAdiVAgMCNBATpG8FqlsA1BQRpQVqQvuYVpS0CBAhcR0CQvo6jVgjcVECQFqQF6ZteYhonQIDARQKC9EVsdiLQV0CQFqQF6b7XnGoECBBYIyBIr1GyDYHBAoK0IC1ID74IlSdAgMCCgCC9gGIVgXsTEKQFaUH63q5K/SFAgMDpJEg7CwhsQECQFqQF6Q1cqLpIgMDhBATpwx1yA96igCAtSAvSW7xy9ZkAgb0LCNJ7P8LGtwsBQVqQFqR3cSkbBAECOxMQpHd2QA1nnwKCtCAtSO/z2jYqAgS2LSBIb/v46f1BBARpQVqQPsjFbpgECGxKQJDe1OHS2aMKCNKCtCB91KvfuAkQuGcBQfqej46+EfhMQJAWpAVp0wEBAgTuT0CQvr9jokcE/oWAIC1IC9L/4rKwggABAsMFBOnhh0AHCDwuIEgL0oL049eJLQgQINBbQJDuLa4egQsEBGlBWpC+4MKxCwECBG4sIEjfGFjzBK4hIEgL0oL0Na4kbRAgQOC6AoL0dT21RuAmAoK0IC1I3+TS0igBAgSeJSBIP4vPzgT6CAjSgrQg3edaU4UAAQJPERCkn6JlWwKDBARpQVqQHnTxKUuAAIEzAoL0GRxvEbgXAUFakBak7+Vq1A8CBAj8s4Ag/c8WviNwtwKCtCAtSN/t5aljBAgcWECQPvDBN/TtCAjSgrQgvZ3rVU8JEDiOgCB9nGNtpBsWEKQFaUF6wxewrhMgsFsBQXq3h9bA9iQgSAvSgvSermhjIUBgLwKC9F6OpHHsWkCQFqQF6V1f4gZHgMBGBQTpjR443T6WgCAtSAvSx7rmjZYAgW0ICNLbOE56eXCBXKi+GMzPgYNfFoZPgACB4QKC9PBDoAMECBAgQIAAAQJbFBCkt3jU9JkAAQIECBAgQGC4gCA9/BDoAAECBAgQIECAwBYFBOktHjV9JkCAAAECBAgQGC4gSA8/BDpAgAABAgQIECCwRQFBeotHTZ8JECBAgAABAgSGCwjSww+BDhAgQIAAAQIECGxRQJDe4lHTZwIECBAgQIAAgeECgvTwQ6ADBAgQIECAAAECWxQQpLd41PSZAAECBAgQIEBguIAgPfwQ6AABAgQIECBAgMAWBQTpLR41fSZAgAABAgQIEBguIEgPPwQ6QIAAAQIECBAgsEUBQXqLR02fCRAgQIAAAQIEhgsI0sMPgQ4QIECAAAECBAhsUUCQ3uJR02cCBAgQIECAAIHhAoL08EOgAwQIECBAgAABAlsUEKS3eNT0mQABAgQIECBAYLiAID38EOgAAQIECBAgQIDAFgUE6S0eNX0mQIAAAQIECBAYLiBIDz8EOkCAAAECBAgQILBFAUF6i0dNnwkQIECAAAECBIYLCNLDD4EOECBAgAABAgQIbFFAkN7iUdNnAgQIECBAgACB4QKC9PBDoAMECBAgQIAAAQJbFBCkt3jU9JkAAQIECBAgQGC4gCA9/BDoAAECBAgQIECAwBYFBOktHjV9JkCAAAECBAgQGC4gSA8/BDpAgAABAgQIECCwRYHVQTob+mLgHHAOOAecA84B54BzwDngHPjnc2DpHwCfW1ppHQECBAgQIECAAAEC5wUE6fM+3iVAgAABAgQIECCwKCBIL7JYSYAAAQIECBAgQOC8gCB93se7BAgQIECAAAECBBYF/j+HuTlSsphxRgAAAABJRU5ErkJggg==\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Between the first and second positions of maximum loudness, the tube is raised through 0.37 m. The speed of sound in the air in the tube is 320 m s<sup>−1</sup>. Determine the frequency of the sound emitted by the loudspeaker.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.iii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy is not propagated by standing waves <strong>✓</strong></p>\n<p>amplitude constant for travelling waves <em><strong>OR</strong> </em>amplitude varies with position for standing waves <em><strong>OR</strong> </em>standing waves have nodes/antinodes <strong>✓</strong></p>\n<p>phase varies with position for travelling waves <em><strong>OR</strong> </em>phase constant inter-node for standing waves <strong>✓</strong></p>\n<p>travelling waves can have any wavelength <em><strong>OR</strong> </em>standing waves have discrete wavelengths<strong> ✓</strong></p>\n<p><strong><em><br/>OWTTE</em></strong></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«sound» wave «travels down tube and» is reflected <strong>✓</strong></p>\n<p>incident and reflected wave superpose/combine/interfere <strong>✓</strong></p>\n<p><strong><em><br/>OWTTE</em></strong></p>\n<p><em>Do not award <strong>MP1</strong> if the reflection is quoted at the walls/container</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>nodes shown at water surface <em><strong>AND </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>2</mn><mn>3</mn></mfrac></math>way up tube (by eye) <strong>✓</strong></p>\n<p><em><br/>Accept drawing of displacement diagram for correct harmonic without nodes specifically identified. </em></p>\n<p><em>Award <strong>[0]</strong> if waveform is shown below the water surface</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>74</mn><mo> </mo><mo>«</mo><mtext>m</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>=</mo><mo>«</mo><mfrac><mi>c</mi><mi>λ</mi></mfrac><mo>=</mo><mfrac><mn>320</mn><mrow><mn>0</mn><mo>.</mo><mn>74</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>430</mn><mo> </mo><mo>«</mo><mtext>Hz</mtext><mo>»</mo></math> ✓</strong></p>\n<p><em><br/>Allow <strong>ECF</strong> from <strong>MP1</strong></em></p>\n<div class=\"question_part_label\">b.iii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.iii.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "21M.2.SL.TZ2.6",
+    "Question": "<div class=\"specification\">\n<p>A photovoltaic cell is supplying energy to an external circuit. The photovoltaic cell can be modelled as a practical electrical cell with internal resistance.</p>\n<p>The intensity of solar radiation incident on the photovoltaic cell at a particular time is at a maximum for the place where the cell is positioned.</p>\n<p>The following data are available for this particular time:</p>\n<p style=\"text-align: left; padding-left: 150px;\">                                          Operating current = 0.90 A<br/>Output potential difference to external circuit = 14.5 V<br/>                      Output emf of photovoltaic cell = 21.0 V<br/>                                                 Area of panel = 350 mm × 450 mm</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the output potential difference to the external circuit and the output emf of the photovoltaic cell are different.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the internal resistance of the photovoltaic cell for the maximum intensity condition using the model for the cell.</p>\n<p> </p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The maximum intensity of sunlight incident on the photovoltaic cell at the place on the Earth’s surface is 680 W m<sup>−2</sup>.</p>\n<p>A measure of the efficiency of a photovoltaic cell is the ratio</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mtext>energy available every second to the external circuit</mtext><mtext>energy arriving every second at the photovoltaic cell surface</mtext></mfrac><mo>.</mo></math></p>\n<p>Determine the efficiency of this photovoltaic cell when the intensity incident upon it is at a maximum.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State <strong>two</strong> reasons why future energy demands will be increasingly reliant on sources such as photovoltaic cells.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>there is a potential difference across the internal resistance<br/><em><strong>OR</strong></em><br/>there is energy/power dissipated in the internal resistance <strong>✓</strong></p>\n<p>when there is current «in the cell»/as charge flows «through the cell»<strong> ✓</strong></p>\n<p><em><br/>Allow full credit for answer based on <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi><mo>=</mo><mi>ε</mi><mo>-</mo><mi>I</mi><mi>r</mi></math></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em><br/>pd dropped across cell <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>6</mn><mo>.</mo><mn>5</mn><mo> </mo><mo>«</mo><mtext>V</mtext><mo>»</mo></math>✓</p>\n<p>internal resistance <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">=</mi><mfrac><mrow><mn>6</mn><mo>.</mo><mn>5</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>9</mn></mrow></mfrac></math> ✓</p>\n<p><strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>7</mn><mo>.</mo><mn>2</mn><mo> </mo><mo>«</mo><mtext>Ω</mtext><mo>»</mo></math>✓</strong></p>\n<p><em><strong><br/>ALTERNATIVE 2</strong></em></p>\n<p><em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ε</mi><mo>=</mo><mi>I</mi><mo>(</mo><mi>R</mi><mo>+</mo><mi>r</mi><mo>)</mo></math> so <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ε</mi><mo>=</mo><mi>V</mi><mo>+</mo><mi>I</mi><mi>r</mi></math> <strong>✓</strong></em></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>21</mn><mo>.</mo><mn>0</mn><mo>=</mo><mn>14</mn><mo>.</mo><mn>5</mn><mo>+</mo><mn>0</mn><mo>.</mo><mn>9</mn><mo>×</mo><mi>r</mi></math> <strong>✓</strong></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>7</mn><mo>.</mo><mn>2</mn><mo> </mo><mo>«</mo><mtext>Ω</mtext><mo>»</mo></math> <strong>✓</strong></p>\n<p><em><br/>Alternative solutions are possible</em></p>\n<p><em>Award <strong>[3]</strong> marks for a bald correct answer</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>power arriving at cell = 680 x 0.35 x 0.45 = «107 W» <strong>✓</strong></p>\n<p>power in external circuit = 14.5 x 0.9 = «13.1 W» <strong>✓</strong></p>\n<p>efficiency = 0.12 <em><strong>OR</strong></em> 12 % <strong>✓</strong></p>\n<p><em><br/>Award <strong>[3] marks</strong> for a bald correct answer</em></p>\n<p><em>Allow <strong>ECF</strong> for <strong>MP3</strong></em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«energy from Sun/photovoltaic cells» is renewable<br/><em><strong>OR</strong></em><br/>non-renewable are running out <strong>✓</strong></p>\n<p>non-polluting/clean <strong>✓</strong></p>\n<p>no greenhouse gases<br/><em><strong>OR</strong></em><br/>does not contribute to global warming/climate change <strong>✓</strong></p>\n<p><em><strong><br/>OWTTE </strong></em></p>\n<p><em>Do not allow economic aspects (e.g. free energy)</em></p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "b-5-current-and-circuits"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>A square loop of side 5.0 cm enters a region of uniform magnetic field at <em>t</em> = 0. The loop exits the region of magnetic field at <em>t</em> = 3.5 s. The magnetic field strength is 0.94 T and is directed into the plane of the paper. The magnetic field extends over a length 65 cm. The speed of the loop is constant.</p>\n<p><img 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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the speed of the loop is 20 cm s<sup>−1</sup>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch, on the axes, a graph to show the variation with time of the magnetic flux linkage <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Φ</mi></math> in the loop.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sketch, on the axes, a graph to show the variation with time of the magnitude of the emf induced in the loop.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>There are 85 turns of wire in the loop. Calculate the maximum induced emf in the loop.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The resistance of the loop is 2.4 Ω. Calculate the magnitude of the magnetic force on the loop as it enters the region of magnetic field.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the energy dissipated in the loop from <em>t </em>= 0 to <em>t </em>= 3.5 s is 0.13 J.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The mass of the wire is 18 g. The specific heat capacity of copper is 385 J kg<sup>−1</sup> K<sup>−1</sup>. Estimate the increase in temperature of the wire.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>70</mn><mrow><mn>3</mn><mo>.</mo><mn>5</mn></mrow></mfrac></math> ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>shape as above ✓</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>shape as above ✓</p>\n<p> </p>\n<p><em>Vertical lines not necessary to score.</em></p>\n<p><em>Allow <strong>ECF</strong> from <strong>(b)(i)</strong>.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em></p>\n<p>maximum flux at «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>5</mn><mo>.</mo><mn>0</mn><mo>×</mo><mn>5</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup><mo>×</mo><mn>85</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>94</mn></math>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>0</mn><mo>.</mo><mn>19975</mn><mo>≈</mo><mn>0</mn><mo>.</mo><mn>20</mn><mo> </mo></math>«Wb» ✓</p>\n<p>emf = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>20</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>25</mn></mrow></mfrac><mo>=</mo></math>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>80</mn><mo> </mo></math>«V» ✓</p>\n<p><em><strong><br/>ALTERNATIVE 2</strong></em></p>\n<p>emf induced in one turn = <em>BvL</em> = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>94</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>20</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>05</mn><mo>=</mo><mn>0</mn><mo>.</mo><mn>0094</mn><mo> </mo></math>«V» ✓</p>\n<p>emf <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>85</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>0094</mn><mo>=</mo><mn>0</mn><mo>.</mo><mn>80</mn><mo> </mo></math>«V» ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>I</mi><mo>=</mo><mo>«</mo><mfrac><mi>V</mi><mi>R</mi></mfrac><mo>=</mo><mo>»</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>8</mn></mrow><mrow><mn>2</mn><mo>.</mo><mn>4</mn></mrow></mfrac></math>  <em><strong>OR  </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>33</mn></math> «A» ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mo>«</mo><mi>N</mi><mi>B</mi><mi>I</mi><mi>L</mi><mo>=</mo><mn>85</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>94</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>33</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>05</mn><mo>=</mo><mo>»</mo><mo>=</mo><mn>1</mn><mo>.</mo><mn>3</mn></math> «N» ✓</p>\n<p> </p>\n<p><em>Allow <strong>ECF</strong> from <strong>(c)(i)</strong>.</em></p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Energy is being dissipated for 0.50 s ✓</p>\n<p><br/><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mi>F</mi><mi>v</mi><mi>t</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>3</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>20</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>50</mn><mo>=</mo></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>13</mn></math> J»</p>\n<p><em><strong>OR</strong></em></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>E</mi><mo>=</mo><mi>V</mi><mi>l</mi><mi>t</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>80</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>33</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>50</mn><mo>=</mo></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>0</mn><mo>.</mo><mn>13</mn></math> J» ✓</p>\n<p> </p>\n<p><em>Allow <strong>ECF</strong> from <strong>(b)</strong> and <strong>(c)</strong>. </em></p>\n<p><em>Watch for candidates who do not justify somehow the use of 0.5 s and just divide by 2 their answer.</em></p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>∆</mo><mi>T</mi><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>13</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>018</mn><mo>×</mo><mn>385</mn></mrow></mfrac></math> ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>∆</mo><mi>T</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>9</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>2</mn></mrow></msup></math> «K» ✓</p>\n<p> </p>\n<p><em>Allow <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Award <strong>[1]</strong> for a <strong>POT</strong> error in <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "b-1-thermal-energy-transfers",
+      "b-5-current-and-circuits",
+      "d-3-motion-in-electromagnetic-fields",
+      "d-4-induction"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.7",
+    "Question": "<div class=\"specification\">\n<p>A conducting sphere has radius 48 cm. The electric potential on the surface of the sphere is 3.4 × 10<sup>5</sup> V.</p>\n</div><div class=\"specification\">\n<p>The sphere is connected by a long conducting wire to a second conducting sphere of radius 24 cm. The second sphere is initially uncharged.</p>\n<p style=\"text-align: center;\"> <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZgAAACJCAYAAAARxi7fAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABuqSURBVHhe7d0LVFV1vgfw7zDdatRIJcWKEFEGhQlRE0uqidKRBcYlnVFztLDUNWaROq6r+Gi1MkHnusBIskEnyczXDeVSsnyGo6KFiaRLlPCBpAaaqYRO0yru3b8/e8vxRXA4j70P30/LBXtz2GefveP/2//f//Wr/9OAiIjIwbz0r0RERA7FAENERE7BAENERE7BAENERE7BAENERE7BAENERE7BAENERE7BAENERE7BAENERE7RIkfyl5WV4dy5czh79ixKS0tx6dIltX/FiuXqa0NiY59Gu3btcPfddyM4OBgdO3ZEhw4dEBQUpL+CiIiExweY7777DkeOHMGXX36JAwcOYMOGj/Hww/3RrVs3REREoE2b1ujcOUC91s/PD7/5zW/U9zfzr3/9C6dOnVLfnzxZjpqayypAlZeXXz1uVFSUFmy6oUePENx///3qtURELZFHBhgJJgcPHkRubi6qqioRExOrahuhoaFOrWlIzUgCz759RcjL2wBf304q4PTv3x89e/bUX0VE1DJ4TIA5ffq0CiirV69SBXtcXBz69evn1tSVnFN+fv7VQDdixLMYMGAA02lE1CJYOsBIyqqgYBcyM5eoAnzcuPGqxmDG1JRtsBHjx49DZOSjDabkiIiszJIBRgLLpk2bkJaWqgrpwYMHqzSUVUgKb82aNSo4Sq1m+PDhaN++vf5TIiLPYKkAYwSWxMSXMXHiKxgyZIil001GWi8lZS6SkmYy0BCRR7HEOBgJLDk5OYiOHoTCwkIUFx/AtGnTLN+WIam8CRMmqM8jnnkmXn1O+bxERFZn+hqMpJPmzp0LHx8fTJkyxaMbyKUX2rJly3D06FHMnDmTPc+IyNJMG2DkKT49PV119509ezYGDBio/8Tz7d69G0lJ01X70tSpU5k2IyJLMmWKTGotkg4TGzdualHBRUiHBfncMluApM0k4BARWY2pajBSa8nKylJjWdLT32aKSCPBNjHxFTVYNDExkd2aicgyTFODkSldpI1FpnNZvz6HwUUn10FqMzJfmlwf6XlGRGQFpggw0rgtqaCwsDAsXryYbQ7XkVpLcnIyIiMjMXLks6pWQ0Rkdm5PkUn7wogRw7B69VpLDZZ0F6MDQErKPF4vIjI1twaYrVu3YM6cOVi69B+cn6sJJE0mNRmZBUDG0RARmZHbAoykwqQxf+XKVZzW3g4MMkRkdm5pg2FwaT65btL4L50i5HoSEZmNywPMihUrGFwcRBr/U1NTGWSIyJRcGmCkgXrJkkwGFweSIDNr1iwVtGUeMyIis3BZgDF6PzG4OJ5cT7musnwBR/0TkVm4pJHfaJBm11rnkvFETz0VhW3b8tkrj4jczuk1GJn+ZfLkydq/KQwuTiZBRcYTjR37opoZgYjInZxeg5kxY4aatFHWbyHXkAZ/NvwTkbs5tQYjjc6ytolM0kiuk5CQoL5Kjz0iIndxWg1G2l0eeaQf9uz5nI36bmC0e3GWBCJyF6cFGBldPmjQIMTHx+t7yNVkKp7MzCV4//33Oc0/EbmcU1JkxngMBhf3koXaunXrhuzsbH0PEZHrOLwGI72XwsPD2FXWJIz7wVQlEbmaw2swCxYsQHLyPAYXk5C1ddLTFyEjI0PfQ0TkGg4NMDLQr6BgF4YOHarvITOQtjC5L1yojIhcyaEpMhnzEhERwbYXE5IpZBYuXIi1a9fqe4jI7KQ36OHDJaisrEJJSYka9vHZZzdOBxUb+zTatWuHkJAQBAYGonv37qZYGdhhAcYowNhjybyGDRuGSZMmcUYFIhOTTNDWrVvVBLYiJiYWwcHBCA0NRatWrW7aliq/c+XKFZw4cQKlpaXIy9sAX99OiIuLQ1RUlNvaXx0WYKRb8ujRo1l4mRhrMUTmZfx9CkcEBkmJyzElUEVGPorBgwe7vHx2SICR6CnzX/3znzv0PWRWrMUQmYsRWHx8fJzykC7zQe7fv/9q8Jo7d67LOmE5JMCw7cU65H/mTz75BMnJyfoeInIHGUIgvW6lXcVVD30y+HrOnDkq7SZTeDm7OaPZvcjkIq1YsVz1VCLz69Wrl+pRJo2HROQe8qD3zDPxqlFe2q1dlVGQwdey1LqIjh7k9J6lza7ByISK33//vWqDIWvgPSNyH5nlXNpF3D1PoAQ5WQRSllJxVvap2QHm979/nBMqWowxEaY8ybDHH5FrSFuIpKcuXLiA1NRUU/ztGWXBiBHPOuWBs1kpMqleSVc4BhdrkZ4pISGhquGPiJxPgsuUKVNMFVyElAXyoOms9aOaFWCkiiXd6ch6hg4dgp07d+pbRORMWVlZ6quZgotBzkfOS4KMo9eQalaKTNJjK1euctsgHrKfMQlmRcUpfQ8ROYMU2gUFBaYMLraMdFlKyjyHdTqwuwYjY18kPcbgYk0yjYRML8H5yYicR/6+lizJxKxZs0wdXISU5dKeLg3/juplaneAOXTokBppStYVGRmJgwcP6ltE5EjS7pKY+ArS09+2zIO4tKdLr7I333xT39M8dgeYwsJCjga3uH79+iE3N1ffIiJHknYXGdDYs2dPfY81GF2WjYUjm8PuNhh/fz+UlpaZvtpHDeN9JHI8Y/qs9etzTDGrcVMZ59/coQx21WDkzSV/z0LJ+kaNeg5fffWVvkVEjrBs2TKVarJicBGSKpOxMUbvN3vZFWCk/SUsLEzfIiuTqSpkim8icgxpIJfpmKw+fdbw4cORkjJXtSXZy64A880332gRrpu+RVYmixNJexoROYa0a44bN97yGR6pfU2c+IoKlvayK8B8/fXX6Nw5QN8iK+vQoYOazZWImk+e9mWesZiYGH2PtUVHRyMzc4m+1XR2BRiZPdnPz0/fIiuTXOvNlmAloqaT6ZdkGiartr1cT3rAVVVV2j0upskBxsjHsYHfczz8cH+HDawiaslkYKVMw+RJpLF/7969+lbTNDnAnDp1SvU8Is/RrVs3tZ43ETVPfn4+evQI0bc8g9Ri7G2ntStFRp7l7rvvxrlz5/QtIrKHzO8n6WZPmz6re/fuqlnEHk0OMCdPlqsCiTxHcHAwzp49q28RkT3Onz/vkdkdaU/q0iVQBdCmanKAqam5rAokIiKqJ+MDH3jgAX3Ls0RGPqoCaFMxRUZE5CD33nuv/p1nsTeNzgBDREQNsjeNzgBDROQApaWl6NKli75FosmzKRtTOBtTOpP1yT1dtWoV9uwp0PcQUVMFBnZFcnKKRy5jYm+5zwBDvKdEDuDJf0f2fjamyIiIqEGS/uvYsaO+1XgMMEREDlJTU6N/51kuXbqkJsZtqiYHmDZtWqvp+omIqF5oaChKSkr0Lc8iU/a3atVK32q8JgcYmaZfpusnz2Fv9ZeI6vn4+DRr7RSzkhH8J04ct2sKHKbIyO7qLxHVM6bo97SZyaVCYe8UOE0OMLIOjL0Tn5E5yYJj9lR/iehaMTGxOHzYs9Jku3fvRkREhL7VNE0OMMY6MM1Zp5nMxRNngCVyh8ceewzZ2ev0Lc8gSxD07dtX32oau1JksbFPq3VhyPqkOi8LjhFR8/Xq1QsbNnxs18zDZiQLqAl7H0DtCjABAQFq2n6yvpMnT6oFx4io+STDk5Q0Ezt27ND3WJukx0aOHKlvNZ1dAUYmPisrO6pvkZUdP37c7vwqEd1owIABSEtLtXwzgtTCUlLm4vHHH9f3NJ1dAUb6ex84cEDfIiuTfvtunaCvMgdj/f0QnlaEn/RdLY4zrkFNGbalLcLHlXLEn7S3eBn+/oOQVmSSgYAefN+DgoLU+imbNm3S91jTmjVrVG3M6B1nD7sCjPQkkzwjG/qtT3oEeuoiSS2XFlC2voUxaUfws9q+DZ3iF6GiYhMm926j9rhdp3gsrTiF4sm9tbPzPGPGjLF0LUbaZqX2Mnz4cH2PfewKMJJnlIb+r776St9DVlRWVqYa+JvzhEJEN5JajHRZzsrK0vdYS0ZGBtLTFzW7bLArwIjIyEgcPHhQ3yIrkiVeo6Ki9C2zqEbZ9izMjA6Gv7+f9i8CY9NyUFT5o/7zr5EzNgz+CanI+WAmotVrtH/RryGnrFp/jUaliF5ED/XzYETPXIS0sRHwD09F0S1zMj+isuhDm/eW3/uw/r21Y27PsnnPHi8iLacIlbV1P65L+4QhIW01Ppj5tM0xclBWY7yoVjvMlrpzUT9/GjNX7UF9n8xbpLNuSCnd6ly/Q1FaLCISZfbbHCRGBGi/8zm+vnrMalRvf027Ln9GVtkP6kh1fkBZ1p+1z/QatlfLuV5/fLkPW2w+h60a7T0H2fyu+BbbZz567b7aUmTFBaPHzO2ovubz6Pc0OgFjjfeLy0KZ9mu1lXttrqUfeoxNxzbb+2xi48aNw+rVq672xLKKrVu3qLFxgwYN0vfYz+4A069fP+Tm5upbZEWSIzbX2hU/4kzObMQ99w6qRqxDScUplBem4L5N0xCf8C6KbAu3T/+Od4/0xdslFdpr3kcC1iAxbkFdYVZbgZypf8aYTfcjZVsJKsrzMf3Xm5C2+Yz+yzejFfxF7yIh/g3si3gHheUVKNkyC37rtPcevxJlP9Ud87n55zFii3bMiuMoXNwFmxKfRcJbe7Ui1vAdPk37EEf6LtDOX3vN8tHABy8jLmWHFjq1dzmTi6lxL2OT7wxsU+c+Cb/elIOmDc1r6FxzcderG1CYLtOqxyO9sBzFk/vgP+p+UeMF795PYkjrL7Cu4KR2JF3tSRSs+wKthzyJ3t5ayFDHfwtVMcu04xv3QfscU3NxxuY21GmFbr36ofXlT7GlSO+eq12v/RvKAZt9tcf2YF3xHYjs2xXaW9xI5vGS+17+BXLfiEbXK3vxVsIoJFfFIrvwuHYfC7H4vi0YEzcbOWeMBw7zkqf/lJR5SEx8xTKpMkmNvfCCpPfSro55bA67A4xUAauqKj1uWoSWQnqISDvab3/7W32PCVTvRkZSNhAzA288FwppLfDqFIX/Sp6IkJIMvP5RWX2B2Ho4pk+LQ1AbL+01kRg94iGtMPsc+49e0QqyT/Fe3u0YPT0R8UFaUeZ1H56Y+leMbq3/7k19hy+y16JEjjs1Cp28vNAmeDSWHj6Fitzn4LtrKZLytFNLmYHngqV4vB2dnngZyZNDUJK2EB/Z1AZaj/4rpsUHa+evvebxP2FEeGtc3lCEoz/9gGOb/wd5sD33KEydPhwNntoNGjrXBAT90l+19+8wcEgHFK/bg2P6Ba0r/DtgyMDfwbu2DB+9noGS8Jcw7eX+2vHr7oOcJ/IWIGPHt3W/dJURtM7hYPl5dY9qTxxAvoorxj4tKJ4+jjI8iEdDbzUtUQQGazWYNl6dEB7eFsc+Woi0kocwbVoC+na6vf4+IhtJGbtVwDY7eYAbMeJZTJkyxfRBRs5v5Mhn8d57yxw28NruACPkwu3du1ffIispKtqHiRNfcchTiqPUVpXj4OXWCHq4hyrU6miFZ7cw9Gl9GWVl39TXFO5oC+9Wxotuw11t2+nfa4V4wRYUIxx9u7fV92lUoRqgb9yE8cQdFIj7tYL/Wj+iqvwYLiMID4d2tPmj8dae3B/UgsNJlJ2ur8PccY+39kyv82qFth3v0DfO4dCug0Bkb3T3No6iFc7deyNS32qUBs+1Mdqj98An0br4f/FJ8UVtW79mrZ/EwN7tgbOHsav4MtpHhaHL1cMb51mODfsrbuz55d0VfSPv0IOWfrzwcZj8rBbIdh3GWS0oFm35FJfDByKy6536L12nfSD87zGa/PVr1b4PwrrYvF69T3s9YOv7TG7ChAnqa3p6uvpqRhJcJAhKmT5gwEB9b/PZ83/nVRKdV65cqW+Rlch0FjKthZnUfv8dKnAHOrZtde3/mK28cY9WRl+uuogr+q5b+wnfX7j+CVvcCe97GlFP6NgWd93wV2Ecsx3a3mXb58lLO7W22hlXo+piI55OfzqHE1/cZIT3Pf4Itact9abn2hhGjWMvMrOLUX1NesxLuw8XtYCg1ZPS4hCot32ofxEvY3PdAW6iA0IffRAoO47TNdU4XVaJ8CH/iZgenYGCIhz5+ktsWXdO2/cIujbmnGuv4OLZf2snkYr4QJtz8H8EiZutN0o+NTUV5eXlWLx4sb7HPIzgEhYWdjUYOkqzAkzPnj2ZJrMgIz0m01qYiddd7eGPf+PsxSv1qTBxpRrfamVNa9+29TWDW9JqM+3u0b5ewMXvbR9xf0D1t5f17xvwxXGcueHJ+FbHrNVO7aJ2xt7wbduImuBtHdDlIakhXMT3th/w2wocsqfMvOm5NpJeo7u87lPs3berPj2m/cjrrrboqNXLwt/YhvKKU6i47t/Nuxbfia6RAxEubS5bt2jB5DZEhXVDkNp3DMf3HdZqpwHavvsbV+gYNb/wN7Gt/MZzqCiegt4W6t8smQIJMjJ+UApxs6TLpCxwVnARzQowQqpUbOy3lry8PDWAykzpMeHlG4AHJRX22eH6nlmSuz96APskdRZ0r2qXaZhe0F2XtkLNCezfd07fuInb/NErNgD490VUX7kmvGluh29AV63ILcNnh87aBL9qHN1/EJfRGUH3N2Z8ie1TvnGUWlQfKUKBvnVz172mwXNtLD1NdvlzrPr72vr0mOjYA4+G45o2GlFbloU4/2DEZZXaXIN6dffvHD7PfA/r0A+9umk1UbXvn3g9cZ72HnX7Gke/VsVbUHDMpreb3hPN6GVmJUaQkam2nn/+ebc/mMswhWeeiXdacBHNDjBxcXGqK57ZG7Co3pIlmWo6C9Px7o+JKUO1CJiM15YfUu0ttZX5+NuMDJSETMTrfwxq1P+wXl2fxAsxP+KDeel1XZdrz2D7395AWklDNZj2eGjoMIRcXoN5C/LrAlzNIWRJd+Ier6MofAxSYrRTS0rG8lJpXv4RldsXYUZaCUImT8Ifg27RrnANLfj94U+IwXuYMOVDlGpBRj7fgnlrtCBluA0dQx/SAuQhZL6zXn/NZ8hasdHmNQ2dq21X4TKcOHMWx8rO6gMubRlpskPYvPnQ1fRY3Y+64A8vRKN18TuYv2i3On5t5W4smv8Oihu6D3rnga9KSgHjeHqbibjmPX6Rfq204DR/fhb2Slfx2krsXfQ3zC8OweTX43+5M4MJSZCZNm2amt/rkUf6qS7BriZl9YoVKzB27Iuql5uzgoto9i2S3gYyLYInruTmiWTyOl/fTqoXoPncjvvi5yB3+UvwXT0EIf5+CIhIwplB85GT9Rf0bmyDtpc/4hd8iGWDTiPpqRD4B0Rh3s+RGB3SUBuMF9r0/guycl5Dn8KXEBHgB/+QIVjt+xKW507FE227qGMun+aD1QO1Y/oHImLCCQxKX4WsV/s2omZVx+u+OCzIXYbxeBsDQ/y1z7cQPw+KR4j+c+EVNBKZ2bMQWZBU95qof+Dn/gNtXvML5+p9Ozo+PBJT/3ABafERGJxVF6xvcLXjQ8DV9FgduQ//jfycV+GbN0YdPyBiDPJ8X/2F+6DXirT/6mubek3khvf4ZV73xeOd/PWY4bsBQyMCtfv4EIbmdcKMnMV4tbdNBw4Lio+Px549nyMzc4kq4KU24QoyJkdqTzJF1Pr1OU4fpvCr/9Po39tNCq2FCxdi7dq1+h4yq2HDhmHSpEkmG//iCjKYLxaJeAOFS+PRSd9L5G45OTlqWhl5UJcpZpzx8Cdl9CeffKIGULry798hlUzjZOVDkHkZ98ezg0utPlI9AmOvPrlXoyxnCd7dfCdiBvdGR7WPyBykNrNx4yY1q7mkreQhUFJnzV1TRtp4JBUmx5MKwODBg1UlwJV//w6pwQjWYsyvxdReaitRlLsS7ySlYrPRcBHyPN6YnoA/PhHU6HQWkTtIWbpz505kZLyt5nyUabkCAwPRoUOHW9ZupF1FFoGUdbpkKRVZhVJ6+EonLPl7lx6/7uCwACNabvrF/PgAQGQ90jYjcwYWFhbiwoULanjBrUgwkh5qsl6XLKlihnZWhwYYaUCSeXekume2LrAtHYM/EbmaQzv6STXMExba8TTSiOjj48PgQkQu5dAajJCGJenfLV3wHDVhGtlPGgplMNXSpf8waddkIvJUDq3BCAkqycnz1II15H4LFixQDX0MLkTkag4PMGLo0KGqv7U7RqlSPbn+MgA2ISFB30NE5DoOT5EZpPeD9OleuXIVU2VuYKTG0tPfdlsXRSJq2ZwWYIQ0LkuDv0zwxl5lriXTT0j/+VGjRul7iIhcyykpMoOMUBVZWVnqK7mGjN4VkqokInIXpwYYMXfuXDXbMqeRcQ25zjJb8qxZs1hrJCK3cmqKzCDtMU89FYVt2/LZm8mJpIu4rKnNdhciMgOn12CEBJXVq9eqRn+ufukcRnCZPXs2gwsRmYJLAoyQUeTjxo1XhWBzZwmla8lEd2+++aYa7zJgwEB9LxGRe7kkRWZr8eLFal1q9ixzDAkuzlxTm4jIXi6rwRikEJTCUApFLrPcPAwuRGRmLg8wwjbIsE3GPgwuRGR2bgkwwggy0ibDINM0cr1kXW0GFyIyM7cFGCGFo/R6kiAja8nQL5Mu33K94uLiGFyIyNRc3sh/MzI4MClpOiZPnnJ19D/dSCavfOGFMarLN9d2ISKzM0WAEZL2mTx5Mvr06YPExET2MLMh7S3p6enIy9vAyUOJyDLcmiKzJYXm+++/r76Pjh6kUkFUlxKT9pZLly6ppagZXIjIKkxTg7ElqaA5c+aogZkyYWNLrM1IrSU7OxszZkzHe+8t4wBKIrIc09RgbElhun59DkpKStTTe0vrAGDUWgoKCtTS0wwuRGRFpqzB2DI6AERGPoqpU6eiffv2+k88j0yhs2TJEtXWIr3rGFiIyMpMWYOxJb2lpO0hJCQE4eFhaqoZT5vLTNJh8rnk83l7e6vPy+BCRFZn+gAjpA1GVmYsLj6gtj0l0Mj5y+eQTg1CPp+MbWEPOiLyBJYIMAZJj0kBbBto5s+fb7keZ3K+Ro1FSHuTfC5PTv8RUctj+jaYhkgNYMeOHUhLS4WvbyeMHz8OvXv3MWVBLedaVLQPmZlLUFVVqXrIxcTEMKgQkceydICxJT3NNm7ciIyMtxEb+zSGDh2CHj1C3DpuxAgq2dnrsGHDx5g48RU89thjHIVPRC2CxwQYgzSY79+/Hzt37lS9saRmExUVpVZ57Ny5s1MDjgSUI0eOqGCXn5+vaioxMbEqqPTq1YttK0TUonhcgLmetHccOnQIhYWFKCjYhRMnjmPUqOdUr7Q2bdogNDRUvc7Pz69RAUAC2KlTp9T3ctyamho1XkeOLaQ7dUREhDquLBVNRNRSeXyAuZ7UMs6fP39NcLhw4YJKYdnq0iVQBQsjKNmSFFy7du3wwAMP4N5779Ve20V9z/YUIqJ6LS7ANJYRiHx8fBg4iIjswABDREROYalxMEREZB0MMERE5BQMMERE5BQMMERE5BQMMERE5BQMMERE5BQMMERE5ATA/wNO+T0akSC8xAAAAABJRU5ErkJggg==\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the charge on the surface of the sphere is +18 μC.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe, in terms of electron flow, how the smaller sphere becomes charged.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Predict the charge on each sphere.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mi>V</mi><mi>R</mi></mrow><mi>k</mi></mfrac><mo>=</mo><mo>»</mo><mfrac><mrow><mn>3</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>5</mn></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>48</mn></mrow><mrow><mn>8</mn><mo>.</mo><mn>99</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup></mrow></mfrac></math></p>\n<p><em><strong>OR</strong></em></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Q</mi><mo>=</mo><mn>18</mn><mo>.</mo><mn>2</mn></math> «μC» ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>electrons leave the small sphere «making it positively charged» ✓</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>k</mi><mfrac><msub><mi>q</mi><mn>1</mn></msub><mn>48</mn></mfrac><mo>=</mo><mi>k</mi><mfrac><msub><mi>q</mi><mn>2</mn></msub><mn>24</mn></mfrac><mo>⇒</mo><msub><mi>q</mi><mn>1</mn></msub><mo>=</mo><mn>2</mn><msub><mi>q</mi><mn>2</mn></msub></math> ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>q</mi><mn>1</mn></msub><mo>+</mo><msub><mi>q</mi><mn>2</mn></msub><mo>=</mo><mn>18</mn></math> ✓</p>\n<p>so <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>q</mi><mn>1</mn></msub><mo>=</mo><mn>12</mn></math> «μC», <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msub><mi>q</mi><mn>2</mn></msub><mo>=</mo><mn>6</mn><mo>.</mo><mn>0</mn></math> «μC» ✓</p>\n<p> </p>\n<p><em>Award <strong>[3]</strong> marks for a bald correct answer.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "21N.2.HL.TZ0.8",
+    "Question": "<div class=\"specification\">\n<p>The graph shows the variation with diffraction angle of the intensity of light after it has passed through four parallel slits.</p>\n<p><img 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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>The number of slits is increased but their separation and width stay the same. All slits are illuminated.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what is meant by the Doppler effect.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A plate performs simple harmonic oscillations with a frequency of 39 Hz and an amplitude of 8.0 cm.</p>\n<p>Show that the maximum speed of the oscillating plate is about 20 m s<sup>−1</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Sound of frequency 2400 Hz is emitted from a stationary source towards the oscillating plate in (b). The speed of sound is 340 m s<sup>−1</sup>.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p>Determine the maximum frequency of the sound that is received back at the source after reflection at the plate.</p>\n<p> </p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what will happen to the angular position of the primary maxima.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what will happen to the width of the primary maxima.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what will happen to the intensity of the secondary maxima.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>the change in the observed frequency ✓</p>\n<p>when there is relative motion between the source and the observer ✓</p>\n<p> </p>\n<p><em>Do not award<strong> MP1</strong> if they refer to wavelength.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mi mathvariant=\"normal\">π</mi><mi>f</mi><mi>A</mi></math> ✓</p>\n<p>maximum speed is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2</mn><mi mathvariant=\"normal\">π</mi><mo>×</mo><mn>39</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>080</mn><mo>=</mo><mn>19</mn><mo>.</mo><mn>6</mn></math> «m s<sup>−1</sup>» ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> for a bald correct answer.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>frequency at plate <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2400</mn><mo>×</mo><mfrac><mrow><mn>340</mn><mo>+</mo><mn>19</mn><mo>.</mo><mn>6</mn></mrow><mn>340</mn></mfrac></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mo>=</mo><mn>2538</mn><mo> </mo></math>Hz»</p>\n<p>at source <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>2538</mn><mo>×</mo><mfrac><mn>340</mn><mrow><mn>340</mn><mo>-</mo><mn>19</mn><mo>.</mo><mn>6</mn></mrow></mfrac><mo>=</mo><mn>2694</mn><mo>≈</mo><mn>2700</mn></math> «Hz» ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Award <strong>[1]</strong> mark when the effect is only applied once.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>stays the same ✓</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases ✓</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>decreases ✓</p>\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-3-wave-phenomena",
+      "c-5-doppler-effect"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.3",
+    "Question": "<div class=\"specification\">\n<p>A longitudinal wave travels in a medium with speed 340 m s<sup>−1</sup>. The graph shows the variation with time <em>t</em> of the displacement <em>x</em> of a particle P in the medium. Positive displacements on the graph correspond to displacements to the right for particle P.</p>\n<p style=\"text-align: center;\"><img 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\"/></p>\n</div><div class=\"specification\">\n<p>Another wave travels in the medium. The graph shows the variation with time <em>t</em> of the displacement of each wave at the position of P.</p>\n<p><img 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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"specification\">\n<p>A standing sound wave is established in a tube that is closed at one end and open at the other end. The period of the wave is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math>. The diagram represents the standing wave at <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mn>0</mn></math> and at <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mfrac><mi>T</mi><mn>8</mn></mfrac></math>. The wavelength of the wave is 1.20 m. Positive displacements mean displacements to the right.</p>\n<p style=\"text-align: left;\"><img 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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the wavelength of the wave.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State the phase difference between the two waves.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify a time at which the displacement of P is zero.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the amplitude of the resultant wave.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the length of the tube.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>A particle in the tube has its equilibrium position at the open end of the tube.<br/>State and explain the direction of the velocity of this particle at time <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mfrac><mi>T</mi><mn>8</mn></mfrac></math>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw on the diagram the standing wave at time <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>t</mi><mo>=</mo><mfrac><mi>T</mi><mn>4</mn></mfrac></math>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.iii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi><mo>=</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo></math>«s» or <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>=</mo><mn>250</mn><mo> </mo></math>«Hz» ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>λ</mi><mo>=</mo><mn>340</mn><mo>×</mo><mn>4</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>=</mo><mn>1</mn><mo>.</mo><mn>36</mn><mo>≈</mo><mn>1</mn><mo>.</mo><mn>4</mn><mo> </mo></math>«m» ✓</p>\n<p> </p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong>.<br/>Award <strong>[2]</strong> for a bald correct answer.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«±» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi mathvariant=\"normal\">π</mi><mn>2</mn></mfrac><mo>/</mo><mn>90</mn><mo>°</mo></math>  <em><strong>OR</strong></em>  <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mn>3</mn><mi mathvariant=\"normal\">π</mi></mrow><mn>2</mn></mfrac><mo>/</mo><mn>270</mn><mo>°</mo></math> ✓</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>1.5 «ms» ✓</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>8.0 <em><strong>OR</strong> </em>8.5 «μm» ✓</p>\n<p><em><br/>From the graph on the paper, value is 8.0. From the calculated correct trig functions, value is 8.49.</em></p>\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>L</em> = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac><mn>3</mn><mn>4</mn></mfrac><mi>λ</mi><mo>=</mo></mstyle></math>» 0.90 «m» ✓</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>to the right ✓<br/><br/></p>\n<p>displacement is getting less negative</p>\n<p><em><strong>OR</strong></em></p>\n<p>change of displacement is positive ✓</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>horizontal line drawn at the equilibrium position ✓</p>\n<div class=\"question_part_label\">c.iii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.iii.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour",
+      "d-fields"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.4",
+    "Question": "<div class=\"specification\">\n<p>A charged particle, P, of charge +68 μC is fixed in space. A second particle, Q, of charge +0.25 μC is held at a distance of 48 cm from P and is then released.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"specification\">\n<p>The diagram shows two parallel wires X and Y that carry equal currents into the page.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>Point Q is equidistant from the two wires. The magnetic field at Q due to wire X <strong>alone </strong>is 15 mT.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The work done to move a particle of charge 0.25 μC from one point in an electric field to another is 4.5 μJ. Calculate the magnitude of the potential difference between the two points.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the force on Q at the instant it is released.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe the motion of Q after release.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>On the diagram draw an arrow to show the direction of the magnetic field at Q due to wire X <strong>alone</strong>.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Determine the magnitude and direction of the resultant magnetic field at Q.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>V</mi><mo>=</mo><mfrac><mrow><mn>4</mn><mo>.</mo><mn>5</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>25</mn></mrow></mfrac><mo>=</mo></math>» 18 «V» ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mfrac><mrow><mn>8</mn><mo>.</mo><mn>99</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup><mo>×</mo><mn>68</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo>×</mo><mn>0</mn><mo>.</mo><mn>25</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><msup><mn>48</mn><mn>2</mn></msup></mrow></mfrac></math> ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>F</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>66</mn></math> «N» ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer. </em></p>\n<p><em>Allow symbolic k in substitutions for <strong>MP1</strong>. </em></p>\n<p><em>Do <strong>not</strong> allow <strong>ECF</strong> from incorrect or not squared distance.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Q moves to the right/away from P «along a straight line»</p>\n<p><em><strong>OR</strong></em></p>\n<p>Q is repelled from P ✓</p>\n<p><br/>with increasing speed/Q accelerates ✓</p>\n<p>acceleration decreases ✓</p>\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p> </p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<p>arrow of any length as shown ✓</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«using components or Pythagoras to get» <em>B</em> = 21 «mT» ✓</p>\n<p>directed «horizontally» to the right ✓</p>\n<p> </p>\n<p><em>If no unit seen, assume</em> mT.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">c.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "b-5-current-and-circuits",
+      "d-2-electric-and-magnetic-fields",
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.5",
+    "Question": "<div class=\"specification\">\n<p>Plutonium-238 (Pu) decays by alpha (α) decay into uranium (U).</p>\n<p>The following data are available for binding energies per nucleon:</p>\n<p style=\"padding-left: 30px;\">plutonium          7.568 MeV</p>\n<p style=\"padding-left: 30px;\">uranium             7.600 MeV</p>\n<p style=\"padding-left: 30px;\">alpha particle     7.074 MeV</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State what is meant by the binding energy of a nucleus.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Draw, on the axes, a graph to show the variation with nucleon number <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi></math> of the binding energy per nucleon, <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mtext>BE</mtext><mi>A</mi></mfrac></math>. Numbers are not required on the vertical axis.</p>\n<p><img src=\"data:image/png;base64,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\"/></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Identify, with a cross, on the graph in (a)(ii), the region of greatest stability.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the energy released in this decay is about 6 MeV.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The plutonium nucleus is at rest when it decays.</p>\n<p>Calculate the ratio <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mtext>kinetic energy of alpha particle</mtext><mtext>kinetic energy of uranium</mtext></mfrac></math>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>the energy needed to «completely» separate the nucleons of a nucleus</p>\n<p><em><strong>OR</strong></em></p>\n<p>the energy released when a nucleus is assembled from its constituent nucleons ✓</p>\n<p> </p>\n<p><em>Accept reference to protons <strong>AND</strong> neutrons.</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>curve rising to a maximum between 50 and 100 ✓</p>\n<p>curve continued and decreasing ✓</p>\n<p> </p>\n<p><em>Ignore starting point.<br/></em></p>\n<p><em>Ignore maximum at alpha particle</em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>At a point on the peak of their graph ✓</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>correct mass numbers for uranium (234) and alpha (4) ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>234</mn><mo>×</mo><mn>7</mn><mo>.</mo><mn>600</mn><mo>+</mo><mn>4</mn><mo>×</mo><mn>7</mn><mo>.</mo><mn>074</mn><mo>-</mo><mn>238</mn><mo>×</mo><mn>7</mn><mo>.</mo><mn>568</mn></math> «MeV» ✓</p>\n<p>energy released 5.51 «MeV» ✓</p>\n<p> </p>\n<p><em>Ignore any negative sign.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>K</mi><msub><mi>E</mi><mi>α</mi></msub></mrow><mrow><mi>K</mi><msub><mi>E</mi><mi>U</mi></msub></mrow></mfrac><mo>=</mo></math>»<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mstyle displaystyle=\"false\"><mfrac><mfrac><msup><mi>p</mi><mn>2</mn></msup><mrow><mn>2</mn><msub><mi>m</mi><mi>α</mi></msub></mrow></mfrac><mfrac><msup><mi>p</mi><mn>2</mn></msup><mrow><mn>2</mn><msub><mi>m</mi><mi>U</mi></msub></mrow></mfrac></mfrac></mstyle></math>  <em><strong>OR  </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><msub><mi>m</mi><mi>U</mi></msub><msub><mi>m</mi><mi>α</mi></msub></mfrac></math> ✓</p>\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>234</mn><mn>4</mn></mfrac><mo>=</mo></math>» <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>58</mn><mo>.</mo><mn>5</mn></math> ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Accept <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>117</mn><mn>2</mn></mfrac></math> for <strong>MP2</strong>.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "b-1-thermal-energy-transfers",
+      "b-5-current-and-circuits",
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "21N.2.SL.TZ0.6",
+    "Question": "<div class=\"specification\">\n<p>Titan is a moon of Saturn. The Titan-Sun distance is 9.3 times greater than the Earth-Sun distance.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the intensity of the solar radiation at the location of Titan is 16 W m<sup>−2</sup></p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Titan has an atmosphere of nitrogen. The albedo of the atmosphere is 0.22. The surface of Titan may be assumed to be a black body. Explain why the <strong>average </strong>intensity of solar radiation <strong>absorbed</strong> by the whole surface of Titan is 3.1 W m<sup>−2</sup></p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the equilibrium surface temperature of Titan is about 90 K.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The orbital radius of Titan around Saturn is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>R</mi></math> and the period of revolution is <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi></math>.</p>\n<p>Show that <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>T</mi><mn>2</mn></msup><mo>=</mo><mfrac><mrow><mn>4</mn><msup><mi mathvariant=\"normal\">π</mi><mn>2</mn></msup><msup><mi>R</mi><mrow><mo> </mo><mn>3</mn></mrow></msup></mrow><mrow><mi>G</mi><mi>M</mi></mrow></mfrac></math> where <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>M</mi></math> is the mass of Saturn.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The orbital radius of Titan around Saturn is 1.2 × 10<sup>9 </sup>m and the orbital period is 15.9 days. Estimate the mass of Saturn.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>incident intensity <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>1360</mn><mrow><mn>9</mn><mo>.</mo><msup><mn>3</mn><mn>2</mn></msup></mrow></mfrac></math> <em><strong>OR </strong></em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mn>15</mn><mo>.</mo><mn>7</mn><mo>≈</mo><mn>16</mn></math> «W m<sup>−2</sup>» ✓</p>\n<p> </p>\n<p><em>Allow the use of 1400 for the solar constant.</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>exposed surface is ¼ of the total surface ✓</p>\n<p>absorbed intensity = (1−0.22) × incident intensity ✓</p>\n<p>0.78 × 0.25 × 15.7  <em><strong>OR </strong> </em>3.07 «W m<sup>−2</sup>» ✓</p>\n<p> </p>\n<p><em>Allow 3.06 from rounding and 3.12 if they use 16</em> W m<sup>−2</sup>.</p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em>σT </em><sup>4</sup> = 3.07</p>\n<p><em><strong>OR</strong></em></p>\n<p><em>T</em> = 86 «K» ✓</p>\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>correct equating of gravitational force / acceleration to centripetal force / acceleration ✓</p>\n<p>correct rearrangement to reach the expression given ✓</p>\n<p> </p>\n<p><em>Allow use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfrac><mrow><mi>G</mi><mi>M</mi></mrow><mi>R</mi></mfrac></msqrt><mo>=</mo><mfrac><mrow><mn>2</mn><mi mathvariant=\"normal\">π</mi><mi>R</mi></mrow><mi>T</mi></mfrac></math> for <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>T</mi><mo>=</mo><mn>15</mn><mo>.</mo><mn>9</mn><mo>×</mo><mn>24</mn><mo>×</mo><mn>3600</mn></math> «s» ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>M</mi><mo>=</mo><mfrac><mrow><mn>4</mn><msup><mi mathvariant=\"normal\">π</mi><mn>2</mn></msup><msup><mfenced><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup></mrow></mfenced><mn>3</mn></msup></mrow><mrow><mn>6</mn><mo>.</mo><mn>67</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo>×</mo><msup><mfenced><mrow><mn>15</mn><mo>.</mo><mn>9</mn><mo>×</mo><mn>24</mn><mo>×</mo><mn>3600</mn></mrow></mfenced><mn>2</mn></msup></mrow></mfrac><mo>=</mo><mn>5</mn><mo>.</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mn>26</mn></msup><mo> </mo></math>«kg» ✓</p>\n<p> </p>\n<p><em>Award <strong>[2]</strong> marks for a bald correct answer.</em></p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.iii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-2-greenhouse-effect",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "22M.2.HL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>Two loudspeakers A and B are initially equidistant from a microphone M. The frequency and intensity emitted by A and B are the same. A and B emit sound in phase. A is fixed in position.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>B is moved slowly away from M along the line MP. The graph shows the variation with distance travelled by B of the received intensity at M.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the received intensity varies between maximum and minimum values.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State and explain the wavelength of the sound measured at M.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>B is placed at the first minimum. The frequency is then changed until the received intensity is again at a maximum.</p>\n<p>Show that the lowest frequency at which the intensity maximum can occur is about 3 kHz.</p>\n<p style=\"text-align:center;\">Speed of sound = 340 m s<sup>−1</sup></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Loudspeaker A is switched off. Loudspeaker B moves away from M at a speed of 1.5 m s<sup>−1</sup> while emitting a frequency of 3.0 kHz.</p>\n<p>Determine the difference between the frequency detected at M and that emitted by B.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>movement of B means that path distance is different « between BM and AM »<br/><em><strong>OR</strong></em><br/>movement of B creates a path difference «between BM and AM» ✓</p>\n<p>interference<br/><em><strong>OR</strong></em><br/>superposition «of waves» ✓</p>\n<p>maximum when waves arrive in phase / path difference = n x lambda<br/><em><strong>OR</strong></em><br/>minimum when waves arrive «180° or <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>π</mi></math> » out of phase / path difference = (n+½) x lambda ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>wavelength = 26 cm ✓</p>\n<p><br/>peak to peak distance is the path difference which is one wavelength</p>\n<p><em><strong>OR</strong></em></p>\n<p>this is the distance B moves to be back in phase «with A» ✓</p>\n<p> </p>\n<p><em>Allow 25 – 27 cm for <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>λ</mi><mn>2</mn></mfrac></math>» = 13 cm ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>=</mo></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>c</mi><mi>λ</mi></mfrac><mo>=</mo><mfrac><mn>340</mn><mrow><mn>0</mn><mo>.</mo><mn>13</mn></mrow></mfrac><mo>=</mo></math>» 2.6 «kHz» ✓</p>\n<p> </p>\n<p><em>Allow ½ of wavelength from (b) or data from graph for <strong>MP1</strong>.</em></p>\n<p><em>Allow ECF from <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em><br/>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>'</mo><mo>=</mo><mi>f</mi><mfrac><mi>v</mi><mrow><mi>v</mi><mo>+</mo><msub><mi>u</mi><mn>0</mn></msub></mrow></mfrac></math> (+ sign must be seen) <strong><em>OR</em> </strong><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>'</mo></math>= 2987 «Hz» ✓<br/>« <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>Δ</mi><mi>f</mi></math>» = 13 «Hz» ✓</p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em><br/>Attempted use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mrow><mi>Δ</mi><mi>f</mi></mrow><mi>f</mi></mfrac></math>≈ <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>v</mi><mi>c</mi></mfrac></math><br/><br/>« Δf » = 13 «Hz» ✓</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an \"explain\" questions, so examiners were looking for a clear discussion of the movement of speaker B creating a changing path difference between B and the microphone and A and the microphone. This path difference would lead to interference, and the examiners were looking for a connection between specific phase differences or path differences for maxima or minima. Some candidates were able to discuss basic concepts of interference (e.g. \"there is constructive and destructive interference\"), but failed to make clear connections between the physical situation and the given graph. A very common mistake candidates made was to think the question was about intensity and to therefore describe the decrease in peak height of the maxima on the graph. Another common mistake was to approach this as a Doppler question and to attempt to answer it based on the frequency difference of B.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recognized that the wavelength was 26 cm, but the explanations were lacking the details about what information the graph was actually providing. Examiners were looking for a connection back to path difference, and not simply a description of peak-to-peak distance on the graph. Some candidates did not state a wavelength at all, and instead simply discussed the concept of wavelength or suggested that the wavelength was constant.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a \"show that\" question that had enough information for backwards working. Examiners were looking for evidence of using the wavelength from (b) or information from the graph to determine wavelength followed by a correct substitution and an answer to more significant digits than the given result.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates were successful in setting up a Doppler calculation and determining the new frequency, although some missed the second step of finding the difference in frequencies.</p>\n<div class=\"question_part_label\">d.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena",
+      "c-5-doppler-effect"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.1",
+    "Question": "<div class=\"specification\">\n<p>A student uses a load to pull a box up a ramp inclined at 30°. A string of constant length and negligible mass connects the box to the load that falls vertically. The string passes over a pulley that runs on a frictionless axle. Friction acts between the base of the box and the ramp. Air resistance is negligible.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>The load has a mass of 3.5 kg and is initially 0.95 m above the floor. The mass of the box is 1.5 kg.</p>\n<p>The load is released and accelerates downwards.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline <strong>two</strong> differences between the momentum of the box and the momentum of the load at the same instant.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The vertical acceleration of the load downwards is 2.4 m s<sup>−2</sup>.</p>\n<p>Calculate the tension in the string.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Show that the speed of the load when it hits the floor is about 2.1 m s<sup>−1</sup>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The radius of the pulley is 2.5 cm. Calculate the angular speed of rotation of the pulley as the load hits the floor. State your answer to an appropriate number of significant figures.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>After the load has hit the floor, the box travels a further 0.35 m along the ramp before coming to rest. Determine the average frictional force between the box and the surface of the ramp.</p>\n<div class=\"marks\">[4]</div>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The student then makes the ramp horizontal and applies a constant horizontal force to the box. The force is just large enough to start the box moving. The force continues to be applied after the box begins to move.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/></p>\n<p>Explain, with reference to the frictional force acting, why the box accelerates once it has started to move. </p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>direction of motion is different / <em><strong>OWTTE</strong> </em>✓</p>\n<p><em>mv</em> / magnitude of momentum is different «even though <em>v</em> the same» ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <em>ma = mg − T</em> «3.5 x 2.4 = 3.5<em>g − T</em> »</p>\n<p><em><strong>OR</strong></em></p>\n<p><em>T </em>= 3.5(<em>g − </em>2.4) ✓</p>\n<p>26 «N» ✓</p>\n<p> </p>\n<p><em>Accept 27 N from g = 10 m s<sup>−2</sup></em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>proper use of kinematic equation ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msqrt><mfenced><mrow><mn>2</mn><mo>×</mo><mn>2</mn><mo>.</mo><mn>4</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>95</mn></mrow></mfenced></msqrt><mo>=</mo><mn>2</mn><mo>.</mo><mn>14</mn></math> «m s<sup>−1</sup>» ✓</p>\n<p> </p>\n<p><em>Must see either the substituted values <strong>OR</strong> a value for v to at least three s.f. for <strong>MP2</strong>.</em></p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ω</mi><mo>=</mo><mfrac><mi>v</mi><mi>r</mi></mfrac></math> to give 84 «rad s<sup>−1</sup>»</p>\n<p><em><strong>OR</strong></em></p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>ω</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>1</mn><mo>/</mo><mn>0</mn><mo>.</mo><mn>025</mn></math> to give 84 «rad s<sup>−1</sup>» ✓</p>\n<p> </p>\n<p>quoted to 2sf only✓</p>\n<p> </p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p><em><strong>ALTERNATIVE 1</strong></em></p>\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><msup><mi>v</mi><mn>2</mn></msup><mo>=</mo><msup><mi>u</mi><mn>2</mn></msup><mo>+</mo><mn>2</mn><mi>a</mi><mi>s</mi><mo>⇒</mo><mn>0</mn><mo>=</mo><mn>2</mn><mo>.</mo><msup><mn>1</mn><mn>2</mn></msup><mo>-</mo><mn>2</mn><mi>a</mi><mo>×</mo><mn>0</mn><mo>.</mo><mn>35</mn></math>» leading to <em>a </em>= 6.3 «m s<sup>-2</sup>»</p>\n<p><em><strong>OR</strong></em></p>\n<p>« <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>x</mi><mo>=</mo><mn>1</mn><mo>/</mo><mn>2</mn><mfenced><mrow><mi>u</mi><mo>+</mo><mi>v</mi></mrow></mfenced><mi>t</mi></math> » leading to <em>t</em> = 0.33 « s » ✓</p>\n<p><em><br/></em><em>F</em><sub>net</sub> = « <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>m</mi><mi>a</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>5</mn><mo>×</mo><mn>6</mn><mo>.</mo><mn>3</mn></math> = » 9.45 «N» ✓</p>\n<p>Weight down ramp = 1.5 x 9.8 x sin(30) = 7.4 «N» ✓</p>\n<p>friction force = net force – weight down ramp = 2.1 «N» ✓</p>\n<p> </p>\n<p><em><strong>ALTERNATIVE 2</strong></em></p>\n<p>kinetic energy initial = work done to stop 0.5 x 1.5 x (2.1)<sup>2</sup> = <em>F</em><sub>NET</sub> x 0.35 ✓</p>\n<p><em>F</em><sub>net</sub> = 9.45 «N» ✓</p>\n<p>Weight down ramp = 1.5 x 9.8 x sin(30) = 7.4 «N» ✓</p>\n<p>friction force = net force – weight down ramp = 2.1 «N» ✓</p>\n<p> </p>\n<p><em>Accept 1.95 N from g = 10 </em>m s<sup>-2</sup><em>.</em><br/><em>Accept 2.42 N from u = 2.14 </em>m s<sup>-1</sup><em>.</em></p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>static coefficient of friction &gt; dynamic/kinetic coefficient of friction / μ<sub>s</sub> &gt; μ<sub>k</sub> ✓</p>\n<p>«therefore» force of dynamic/kinetic friction will be less than the force of static friction ✓</p>\n<p><br/>there will be a net / unbalanced forward force once in motion «which results in acceleration»</p>\n<p><em><strong>OR</strong></em></p>\n<p>reference to net F = ma ✓</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many students recognized the vector nature of momentum implied in the question, although some focused on the forces acting on each object rather than discussing the momentum.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Some students simply calculated the net force acting on the load and did not recognize that this was not the tension force. Many set up a net force equation but had the direction of the forces backwards. This generally resulted from sloppy problem solving.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a \"show that\" questions, so examiners were looking for a clear equation leading to a clear substitution of values leading to an answer that had more significant digits than the given answer. Most candidates successfully selected the correct equation and showed a proper substitution. Some candidates started with an energy approach that needed modification as it clearly led to an incorrect solution. These responses did not receive full marks.</p>\n<div class=\"question_part_label\">c.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This SL only question was generally well done. Despite some power of 10 errors, many candidates correctly reported final answer to 2 sf.</p>\n<div class=\"question_part_label\">c.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates struggled with this question. Very few drew a clear free-body diagram and many simply calculated the acceleration of the box from the given information and used this to calculate the net force on the box, confusing this with the frictional force.</p>\n<div class=\"question_part_label\">d.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an \"explain\" question, so examiners were looking for a clear line of discussion starting with a comparison of the coefficients of friction, leading to a comparison of the relative magnitudes of the forces of friction and ultimately the rise of a net force leading to an acceleration. Many candidates recognized that this was a question about the comparison between static and kinetic/dynamic friction but did not clearly specify which they were referring to in their responses. Some candidates clearly did not read the stem carefully as they referred to the mass being on an incline.</p>\n<div class=\"question_part_label\">e.</div>\n</div>",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.2",
+    "Question": "<div class=\"specification\">\n<p>Cold milk enters a small sterilizing unit and flows over an electrical heating element.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>The temperature of the milk is raised from 11 °C to 84 °C. A mass of 55 g of milk enters the sterilizing unit every second.</p>\n<p style=\"padding-left: 210px;\">Specific heat capacity of milk = 3.9 kJ kg<sup>−1 </sup>K<sup>−1</sup></p>\n</div><div class=\"specification\">\n<p>The milk flows out through an insulated metal pipe. The pipe is at a temperature of 84 °C. A small section of the insulation has been removed from around the pipe.</p>\n<p style=\"text-align: center;\"><img src=\"data:image/png;base64,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\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Estimate the power input to the heating element. State an appropriate unit for your answer.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Outline whether your answer to (a) is likely to overestimate or underestimate the power input.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss, with reference to the molecules in the liquid, the difference between milk at 11 °C and milk at 84 °C.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State how energy is transferred from the inside of the metal pipe to the outside of the metal pipe.</p>\n<div class=\"marks\">[1]</div>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The missing section of insulation is 0.56 m long and the external radius of the pipe is 0.067 m. The emissivity of the pipe surface is 0.40. Determine the energy lost every second from the pipe surface. Ignore any absorption of radiation by the pipe surface.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Describe <strong>one</strong> other method by which significant amounts of energy can be transferred from the pipe to the surroundings.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>energy required for milk entering in 1 s = mass x specific heat x 73 ✓</p>\n<p>16 kW <em><strong>OR</strong> </em>16000 W ✓</p>\n<p> </p>\n<p><em><strong>MP1</strong> is for substitution into mcΔT regardless of power of ten.</em></p>\n<p><em>Allow any correct unit of power (such as </em>J s<sup>-1</sup><em> OR </em>kJ s<sup>-1</sup><em>) if paired with an answer to the correct power of 10 for <strong>MP2</strong>.</em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Underestimate / more energy or power required ✓</p>\n<p>because energy transferred as heat / thermal energy is lost «to surroundings or electrical components» ✓</p>\n<p> </p>\n<p><em>Do not allow general term “energy” or “power” for <strong>MP2</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>the temperature has increased so the internal energy / « average » KE «of the molecules» has increased <em><strong>OR</strong></em> temperature is proportional to average KE «of the molecules». ✓</p>\n<p>«therefore» the «average» speed of the molecules or particles is higher <em><strong>OR</strong> </em>more frequent collisions « between molecules » <em><strong>OR</strong> </em>spacing between molecules has increased <em><strong>OR</strong> </em>average force of collisions is higher <em><strong>OR</strong> </em>intermolecular forces are less <em><strong>OR</strong> </em>intermolecular bonds break and reform at a higher rate <em><strong>OR</strong> </em>molecules are vibrating faster. ✓</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>conduction/conducting/conductor «through metal» ✓</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>P</mi><mo>=</mo><mi>e</mi><mi>σ</mi><mi>A</mi><msup><mi>T</mi><mn>4</mn></msup></math> where <em>T</em> = 357 K ✓</p>\n<p>use of <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>A</mi><mo>=</mo><mn>2</mn><mi>π</mi><mo> </mo><mi>r</mi><mo> </mo><mi>l</mi></math> « = 0.236 m<sup>2</sup>» ✓</p>\n<p><em>P</em> = 87 «W» ✓</p>\n<p> </p>\n<p><em>Allow 85 – 89 W for <strong>MP3</strong>.</em></p>\n<p><em>Allow ECF for <strong>MP3</strong>.</em></p>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>convection «is likely to be a significant loss» ✓</p>\n<p><br/>«due to reduction in density of air near pipe surface» hot air rises «and is replaced by cooler air from elsewhere»</p>\n<p><em><strong>OR</strong></em></p>\n<p>«due to» conduction «of heat or thermal energy» from pipe to air ✓</p>\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Most candidates recognized that this was a specific heat question and set up a proper calculation, but many struggled to match their answer to an appropriate unit. A common mistake was to leave the answer in some form of an energy unit and others did not match the power of ten of the unit to their answer (e.g. 16 W).</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recognized that this was an underestimate of the total energy but failed to provide an adequate reason. Many gave generic responses (such as \"some power will be lost\"/not 100% efficient) without discussing the specific form of energy lost (e.g. heat energy).</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was generally well answered. Most HL candidates linked the increase in temperature to the increase in the kinetic energy of the molecules and were able to come up with a consequence of this change (such as the molecules moving faster). SL candidates tended to focus more on consequences, often neglecting to mention the change in KE.</p>\n<div class=\"question_part_label\">c.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recognized that heat transfer by conduction was the correct response. This was a \"state\" question, so candidates were not required to go beyond this.</p>\n<div class=\"question_part_label\">d.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Candidates at both levels were able to recognize that this was a blackbody radiation question. One common mistake candidates made was not calculating the area of a cylinder properly. It is important to remind candidates that they are expected to know how to calculate areas and volumes for basic geometric shapes. Other common errors included the use of T in Celsius and neglecting to raise T ^4. Examiners awarded a large number of ECF marks for candidates who clearly showed work but made these fundamental errors.</p>\n<div class=\"question_part_label\">d.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>A few candidates recognized that convection was the third source of heat loss, although few managed to describe the mechanism of convection properly for MP2. Some candidates did not read the question carefully and instead wrote about methods to increase the rate of heat loss (such as removing more insulation or decreasing the temperature of the environment).</p>\n<div class=\"question_part_label\">d.iii.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "b-2-greenhouse-effect"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.3",
+    "Question": "<div class=\"specification\">\n<p>Two loudspeakers A and B are initially equidistant from a microphone M. The frequency and intensity emitted by A and B are the same. A and B emit sound in phase. A is fixed in position.</p>\n<p><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOMAAADjCAYAAAB3jqNMAAARFklEQVR4nO3df1CUd34H8HfsTeagHFM3l9EbQLHApHg6mFWSsngHxi0eh6dkpWdyYIIK08QkNdGLrYKX3gSSKYYoTeJpQYUTkugp4ORS2tzmJJ6wNZzErbnQ+MgJ6hPDNSwtsTyOM8f2D126/MyuPLvP93me92uGf3Z39vnO7Lz5fJ4fn+e5y+v1ekEGcgNSbRGy/6ENkQWHcLosE9FaL4kCMkPrBZDKhnvR3tSHv968AQmNJ9E5OKz1iihADKOhDGPw1JuolGxYsT4PuUnvoKpRAuOoDwyjoXjQ6WwFHMtg/bN5sD08H+ebXOhmGnWBYTSSwY/xfiOw2r4A0fg6EtLtWOh2or37htYrowAwjIZxA1JjDd5CJpZbLQCAGQlpyE35CJV1/45BjVdHX41hNIrhXrQ3fYRIxzJYo2//rDPmwvbw/RjigRxd+JrWCyB1DHe70OwewpB7Paz1Y9+9gvc7n0Fm5je1WBoFiJXREL7AqbpDOJ/yAlp+fwkXe/z/OlBTALy1+5eQWByFxjAaweDHeL/xJrLWP4SEcb+oBVZ7JiJ5IEd4DKPuDWOw8yROIAs/fCh2gh90BqKXrMSG5E/Q3NbLc44CYxj1blhC0+53EFe8EkuiJ/k5oxYiZ+18nK94E6d4IEdYd/HaVCIxsDISCYJh1Bmn04mnNm2CLMtaL4VUxjDqiCzLeKKoGDabDevy8+FyubReEqmI+4w6oSgKNhQWYmNxMex2OyRJwt8UF+OHax/B44WPQ1EU9Pf3AwB6e3vxv9evY3VursarpmAwjDqxq6ICAPD8tm0jr/kC2nHmQ8yJnwtbejoAIDY2Dt/61myGUWd4OZwOOJ1OdJ49i4O1taNev3DhAvr6+vBh51lYLBaNVkdqYWUUnCzLyEhfig/aTiMmJmbkdY/HgzyHA7urqpCSkqLhCkktPIAjuMuXLwMAurq6Rr2+s7QUG4uKGEQDYRgFl5aWhg/aTuNAdTV2VVRAURQ01N8ay8gvKNB4daQmtqk6oSgKXn/tNXSePYtr166hsbl53H6ioigAgIiICC2WSNPEyqgTEREReH7bNsxfsAAPr1kz4QGbxuPH8eOtW3lBgE4xjDqzatUq/Ncf/jDhe/kFBcjKykJG+lI4nc4wr4ymi2HUmbi4OLS3tU36/urc3HH7mKQPDKPOWCwWXO7phcfjmfQzMTExI+ckNxQWsm3VCYZRhx7J/9HIpW+T8e1jbiwuZtuqEwyjDiUnJ+OT3/0uoM/a7XZ80HYaTY2NKC0pYdsqMJ7aMAlFUVBXW4ejR97G/upqJCUlab0kGoNhNBmXy4WS7dux+dlneSG5YBhGE5JlGS+Vl2PmzJnYsnUrLzIXBPcZTSgmJgavVFYiOTkZeQ4H3G631ksisDKantvtxnObN2NjURGvddUYw0jweDzYWVoKAHixrIxtq0bYphIsFgve2LsXNpsNeQ4H762jEVZGGmXsvXU4ARI+rIw0SlJSEt5tacHVq1c4ARJmDCONExERgbLycmRlZWFdfj4vpQsTtqk0JUmS8JPSUlgXL8bTzzzDtjWEWBlpSklJSZwACRNWRgqY0+nEE0XF2FdTDbvdrvVyDIdhpKDIsowfb9mChMRElJSWsm1VEdtUCopvcDk2Ng452dmQJEnrJRkGKyPdMU6AqIthpGnxnwBh2zo9bFNpWvwnQHKyszkBMg2sjKQaToBMD8NIquIEyJ1jm0qqGjsBwrY1cKyMFDK+tpUTIIFhZaSQSUlJ4QRIEBhGCqmxEyAcXJ4c21QKG9/gcvb3v88JkAmwMlLY+AaXAU6ATISVkTTBCZDxGEbSjG8ChIPLt7BNJc34P7qOEyCsjCQIToAwjCQQs0+AsE0lYfgmQHyDy2a7lI6VkYRkxgkQhpGEZbYJELapJCyzTYCwMpIu+LetjjVrDHlwh2Ek3VAUBeVlZRgYGMCOkhLExMRovSRVsU0l3TD6BAgrI+mSER9dx8pIuuT/6DqjTICwMpLuGWUChGEkQzDCBAjbVDIE/wmQDYWFupwAYWUkw3E6nXiprEx3EyAMIxmSHidA2KaSIY2dANFD28rKSIbnG1wWfQKElZEMLy0tDccaG9He3o6nNm2Cx+OZ8vNutxuPrl2LxPh5eCgzEyeam8OyToaRTCHQCRDfBel/v2MHLvZcwv7qarz33nvhCaSXyGTOnTvnXZaR4a0/fNg7NDQ06r2SHTu87e3to17r7+/3LsvIGPc9f7xwyJs7N96bMDfeu7DkpPd/JtrYH//TW7tq/tSfuY2VkUwnJSUFxxob0dXVNe4ZIG83vIlFixaN+rzFYsHlnt5Jvi0SCcmJQONJdA4Oj3t3uNuF5qG5uC/yq9fFMJIpWSyWURMg/oI9DRL50ArkoBXvd47dF72B7rZOLHiyANYAvodhJFNbnZuL/dXV0/uSex/AXzmAE86PMej/+nAv2t+5F8sfmBXQ1zCMZHpJSUnT/IZ7sdieCZzvQZ9fpzrc7cIvk78Da/SfBPQtDCPRtM3AN6zLsFpyor37xu3XbrWof2FfgOiAv4WIAAClJSVIffCBcac9FEUBADTU108+Nxm9AMsdfWhu68Uw8P8tqjXwO9oxjES3tbe1YeUPfoB/3r9/JICKoqCutg6bt2zBgZqaKQ7uWGC129Dd5EL3MDDc3YEzS7+HJdGBR4xhJLptY1ERurq6kJqaipzsbJSWlCAnOxtXr14B4IUtPX2Ke7fOQPRIq/rf6G67hAdXLkRUENtnGIluc6xZg4GBAXR0dODvtm9H5rJl2FFSAuBW1dyydevUX+BrVX/zK5w+Ow+2hK8HtX2GkUzPtx8YERGBN/buRcG6dfjNqVN4oqgYra2tSE1NxcHa2gDuaH6rVb3yi3q4FqciIch0MYxkai6Xa9xJ/7S0NJSVlwMAysrLsTo3N8ALAW61qtm930B6+tygw8URKjIl34GZo0fexv7q6gnPNSbGz8PFnkthW9PXwrYlIkH4bl6VkJiId1taRqpeYvy8cZ8d+1oow8nKSKYi8m0dWRnJFBRFweuvvYbOs2fxQdtpIZ/TwQM4ZHiSJGFDYSEA4GBtrZBBBFgZyeBONDejas8e7CgtFa4tHYthJEPyf3zc4YYGYauhP7apZDiSJCEnOxuxsXF4pbJSF0EEWBnJYBrq63GgpgblL7+MtLQ0rZcTFIaRDMHj8WBnaSkA4FhjYwCXromHbSrpntvtRp7DAZvNhjf27tVlEAFWRtI5X1u6u6oKKSkpWi9nWhhG0iX/B9votS0di20q6Y5v0iIrKwtl5eWGCCLAykg6EsikhZ4xjKQL/m2p/6SFkbBNJeE5nU5kpC8daUuNGESAlZEEpodJCzWxMpKQZFnWxaSFmlgZSTgnmpux9dnnhBwADiWGkYThP2lhhrZ0LLapJAS9TlqoiZWRNOcbANbjpIWaGEbSjP+khV4GgEOJbSppYuykhdmDCLAykgaMNGmhJoaRwsZ3SRug3wHgUGKbSmHhP2mh5wHgUGJlpJAy+qSFmhhGChkzTFqoiW0qhYTT6Rw1AMwgfjVWRlKV/6QFzx0Gh5WRVGPGSQs1sTKSKkR+1JpeMIw0LWaftFAT21S6Y5y0UBcrI90RTlqoj2GkoHg8HrxaWamrR63pBdtUCphv0iI5OZltaQiwMlJAOGkRegwjTckIj1rTC7apNCmXy2WIR63pBSsjjcNJC20wjDQKJy20wzaVRnDSQlusjDRq0oJtqXZYGU1u7KQFg6gdVkYT46SFWBhGE/JNWnRfvMhJC4GwTTUZ/0kLDgCLhZXRRDhpITaGUYc8Hg8ABHxFjP8AMCctxMU2VYeOHjmKzs7OgD7rdruRk53NSQsdYGXUofPn/wPL7cu/8nOctNCXu7xer1frRVBwEuPn4WLPpUnf95+0eLGsjBd46wTbVJ2RJAmpDz4w6ftjH7XGIOoH21Sd+eKLL2BdvHjC93xHS9mW6hPDqCMejwe7X30VC769YML3v/Pd7yJrxQpe4K1TbFN1QpIk5DkcSE1NRWvrSbjd7nGfsVgsDKKeeUl4zU1N3mUZGd729nav1+v1njt3zrssI8Pb39+v8cpITTyaKjjffuDYk/UN9fVob2/HG3v3arg6UhPbVMFlrViBWbNmoaura9Tr+QUFAG6FkoyBlVEHZFlGRvrScRMWHo8HeQ4HnnzqKSxatAgAOI+oYwyjTjidThyorsbB2tqRgzQulwsl27cjNi4Oc+bMwcDAAP7tX1oAAHPi5+LXra1aLpmCxDDqyK6KCgDA89u2Yd/P9k159zaPx8MT/jrDMOqIoijYUFiIvr4+JM+fj1cqK3kqw0AYRgFJkoTY2NgJgybLMlpPnhw5gEPGwTAKxP8ubf77hmQOPLUhCEmSRt2lLaggDn+KutXfRmL8vPF/2aWoa5VwPUTrJvXw2lRBfHjmDDYWF0/vLm0pL6ClqRBJI/9ib+LzjoP4yeOP4cxLR/B67hz+9xUYfxtB5BcUhOB2iXdjdmoefuS4G+8d+jW6h1X+elIVw2gSkQvjMYu/ttD48xjaTXzecQxH+x/FwadtiNZ6OTQl7jOGkSzL+G1HB1bn5oZmA+6fIvvPfzr+9eTHsOLLG1gy++7QbJdUwcoYJi6XC+vy8/GnUVGh20jKC2j5/SVc7PH9dePcr3bjURzD1r+tQ+d17jSKjGEMMUVRsO9n+1CyfTv2V4f7mRYzEJX0PTy29n6g6xiafusJ47YpWAxjCPme8HT16hW829Ki0UTF3ZgVn4BIDbZMweE+Y4iI84Snm+jr6cZQZCaWW3nhuMgYxhBpPXlSgCc8DeO69K/4+ZFPcF/xZiyJZiMkMl6bagTDn6LuYQdedA+Nfy85Hzs3ObAix4rZzKLQGEYiQfB/JZEgGMZpcLvdkCRJ62WQQTCMd6ihvh7Pbd6s9TLIQHg0NUiyLOOl8nIAwLHGRt5nhlTDyhgE3yVtWVlZfMITqY6VMQCKoqCutm7Ku7ERTRfDGIALFy7gyy8H8W5LC+9LQyHD84xEguA+I5EgGEYiQTCMfpxOJzwezvyRNngAB7eeS7GztBQAYLVaNV4NmZXpK6Pb7UaewwGbzcZzh6Qp01ZGRVHQePw4DtTUYHdVFVJSUrReEpmcKcPou6Rt5syZvKSNhGHK84wN9fWIiooK3S0Tie6AKcNIJCLTH8AhEgXDSCQIw4ZRURScaG7WehlEATNkGCVJQk52Nq5d+1zrpRAFzHCnNk40N6Nqzx6Uv/wy0tLStF4OUcAME0b/S9oONzRofPNgouAZok0de0kbg0h6ZIjK+IujR3lJG+keT/oTCcIQbSqRETCMRILQTRhlWYbL5dJ6GUQho4swnmhuRkb6Uq2XQRRSQh9NVRQF5WVlGBgYEODBo0ShJWxl9F3SFhsbh1cqKxlEMjwhK2NDfT0O1NTwkjYyFeHCKMsyPvvsM94Og0yHJ/2JBCHsPiOR2TCMRILQLIwulwuSJGm1eSLhhD2MiqJgV0UF/mnPHtxzzz3h3jyRsMIaRlmWsaGwEABwsLaWR0uJ/IT1aKokSejt7YXdbg/XJol0g6c2iAQx/ZP+g63Y+Zfr8dbQBO9F2vH0S0/ikVVWzOZxW6IpqRaRyIJD6Oy5hIsjf90415SBT3asw8aqDlxXa0NEBhXCejUDUffl4flt9+PTqiocl26EblNEBhCm5vEKLsqsjURTCU8YIzOx3MrTGERTCWEYb+LzjlrsqvgI9xWvxJJoHsEhmopqI1RD9ethrR/zYnI+dv7jYazIsSJKrQ0RGZRqYYwsOITTZZmIVusLiUyGvSORIBhGIkEwjESCYBiJBMELxYkEwcpIJIj/A57/aMlpD3r+AAAAAElFTkSuQmCC\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>B is moved slowly away from M along the line MP. The graph shows the variation with distance travelled by B of the received intensity at M.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain why the received intensity varies between maximum and minimum values.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>State and explain the wavelength of the sound measured at M.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>B is placed at the first minimum. The frequency is then changed until the received intensity is again at a maximum.</p>\n<p>Show that the lowest frequency at which the intensity maximum can occur is about 3 kHz.</p>\n<p style=\"text-align:center;\">Speed of sound = 340 m s<sup>−1</sup></p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>movement of B means that path distance is different « between BM and AM »<br/><em><strong>OR</strong></em><br/>movement of B creates a path difference «between BM and AM» ✓</p>\n<p>interference<br/><em><strong>OR</strong></em><br/>superposition «of waves» ✓</p>\n<p>maximum when waves arrive in phase / path difference = n x lambda<br/><em><strong>OR</strong></em><br/>minimum when waves arrive «180° or <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>π</mi></math> » out of phase / path difference = (n+½) x lambda ✓</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>wavelength = 26 cm ✓</p>\n<p><br/>peak to peak distance is the path difference which is one wavelength</p>\n<p><em><strong>OR</strong></em></p>\n<p>this is the distance B moves to be back in phase «with A» ✓</p>\n<p> </p>\n<p><em>Allow 25 − 27 </em>cm<em> for <strong>MP1</strong>.</em></p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>λ</mi><mn>2</mn></mfrac></math>» = 13 cm ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi><mo>=</mo></math>«<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mi>c</mi><mi>λ</mi></mfrac><mo>=</mo><mfrac><mn>340</mn><mrow><mn>0</mn><mo>.</mo><mn>13</mn></mrow></mfrac><mo>=</mo></math>» 2.6 «kHz» ✓</p>\n<p> </p>\n<p><em>Allow ½ of wavelength from <strong>(b)</strong> or data from graph.</em></p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was an \"explain\" questions, so examiners were looking for a clear discussion of the movement of speaker B creating a changing path difference between B and the microphone and A and the microphone. This path difference would lead to interference, and the examiners were looking for a connection between specific phase differences or path differences for maxima or minima. Some candidates were able to discuss basic concepts of interference (e.g. \"there is constructive and destructive interference\"), but failed to make clear connections between the physical situation and the given graph. A very common mistake candidates made was to think the question was about intensity and to therefore describe the decrease in peak height of the maxima on the graph. Another common mistake was to approach this as a Doppler question and to attempt to answer it based on the frequency difference of B.</p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>Many candidates recognized that the wavelength was 26 cm, but the explanations were lacking the details about what information the graph was actually providing. Examiners were looking for a connection back to path difference, and not simply a description of peak-to-peak distance on the graph. Some candidates did not state a wavelength at all, and instead simply discussed the concept of wavelength or suggested that the wavelength was constant.</p>\n<div class=\"question_part_label\">b.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>This was a \"show that\" question that had enough information for backwards working. Examiners were looking for evidence of using the wavelength from (b) or information from the graph to determine wavelength followed by a correct substitution and an answer to more significant digits than the given result.</p>\n<div class=\"question_part_label\">c.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-2-wave-model",
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    two\n   </strong>\n   reasons why both models predict that the motion is simple harmonic when\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n   </math>\n   is small.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the time period of the system when\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n   </math>\n   is small.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, without calculation, the change to the time period of the system for the model represented by graph B when\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     a\n    </mi>\n   </math>\n   is large.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The graph shows for model A the variation with\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   of elastic potential energy\n   <em>\n    E\n   </em>\n   <sub>\n    p\n   </sub>\n   stored in the spring.\n  </p>\n  <p>\n   <img 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\"/>\n  </p>\n  <p>\n   Describe the graph for model B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    For both models:\n   </strong>\n  </em>\n  <br/>\n  displacement is ∝ to acceleration/force «because graph is straight and through origin» ✓\n </p>\n <p>\n  displacement and acceleration / force in opposite directions «because gradient is negative»\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  acceleration/«restoring» force is always directed to equilibrium ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  attempted use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mo>\n     -\n    </mo>\n   </mfenced>\n   <mfrac>\n    <mi>\n     a\n    </mi>\n    <mi>\n     x\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  suitable read-offs leading to gradient of line = 28 « s\n  <sup>\n   -2\n  </sup>\n  » ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi>\n      π\n     </mi>\n    </mrow>\n    <mi>\n     ω\n    </mi>\n   </mfrac>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi>\n      π\n     </mi>\n    </mrow>\n    <msqrt>\n     <mn>\n      28\n     </mn>\n    </msqrt>\n   </mfrac>\n  </math>\n  » ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n  </math>\n  s ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  time period increases ✓\n </p>\n <p>\n </p>\n <p>\n  because average ω «for whole cycle» is smaller\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  slope / acceleration / force at large x is smaller\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  area under graph B is smaller so average speed is smaller. ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  same curve\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  shape for small amplitudes «to about 0.05 m» ✓\n </p>\n <p>\n  for large amplitudes «outside of 0.05 m»\n  <em>\n   E\n  </em>\n  <sub>\n   p\n  </sub>\n  smaller for model B / values are lower than original / spread will be wider ✓\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept answers drawn on graph – e.g.\n  </em>\n </p>\n <p>\n  <em>\n   <img 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\"/>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  This item was essentially encouraging candidates to connect concepts about simple harmonic motion to a physical situation described by a graph. The marks were awarded for discussing the physical motion (such as \"the acceleration is in the opposite direction of the displacement\") and not just for describing the graph itself (such as \"the slope of the graph is negative\"). Most candidates were successful in recognizing that the acceleration was proportional to displacement for the first marking point, but many simply described the graph for the second marking point.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This question was well done by many candidates. A common mistake was to select an incorrect gradient, but candidates who showed their work clearly still earned the majority of the marks.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Many candidates recognized that the time period would increase for B, and some were able to give a valid reason based on the difference between the motion of B and the motion of A. It should be noted that the prompt specified \"without calculation\", so candidates who simply attempted to calculate the time period of B did not receive marks.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Candidates were generally successful in describing one of the two aspects of the graph of B compared to A, but few were able to describe both. It should be noted that this is a two mark question, so candidates should have considered the fact that there are two distinct statements to be made about the graphs. Examiners did accept clearly drawn graphs as well for full marks.\n </p>\n</div>\n",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.2",
+    "Question": "<div class=\"specification\">\n<p>A fixed mass of an ideal gas is contained in a cylinder closed with a frictionless piston. The volume of the gas is 2.5 × 10<sup>−3 </sup>m<sup>3</sup> when the temperature of the gas is 37 °C and the pressure of the gas is 4.0 × 10<sup>5 </sup>Pa.</p>\n</div><div class=\"specification\">\n<p>Energy is now supplied to the gas and the piston moves to allow the gas to expand. The temperature is held constant.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Calculate the number of gas particles in the cylinder.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss, for this process, the changes that occur in the density of the gas.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Discuss, for this process, the changes that occur in the internal energy of the gas.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>Correct conversion of T «T = 310 K» seen ✓</p>\n<p>« use of = <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>N</mi><mo>=</mo><mfrac><mrow><mi>p</mi><mi>V</mi></mrow><mrow><mi>k</mi><mi>T</mi></mrow></mfrac></math> to get » 2.3 × 10<sup>23</sup> ✓</p>\n<p> </p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong> i.e., T in Celsius (Result is 2.7 x 10<sup>24</sup>)</em></p>\n<p><em>Allow use of n, R and N<sub>A</sub></em></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>density decreases ✓</p>\n<p>volume is increased <em><strong>AND</strong> </em>mass/number of particles remains constant ✓</p>\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>internal energy is constant ✓</p>\n<p><br/>internal energy depends on kinetic energy/temperature «only»</p>\n<p><em><strong>OR</strong></em></p>\n<p>since temperature/kinetic energy is constant ✓</p>\n<p> </p>\n<p><em>Do not award <strong>MP2</strong> for stating that “temperature is constant” unless linked to the correct conclusion, as that is mentioned in the stem.</em></p>\n<p><em>Award <strong>MP2</strong> for stating that kinetic energy remains constant.</em></p>\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>a) This was well answered with the majority converting to K. Quite a few found the number of moles but did not then convert to molecules.</p>\n<p>bi) Well answered. It was pleasing to see how many recognised the need to state that the mass/number of molecules stayed the same as well as stating that the volume increased. At SL this recognition was less common so only 1 mark was often awarded.</p>\n<p>bii) This was less successfully answered. A surprising number of candidates said that the internal energy of an ideal gas increases during an isothermal expansion. Many recognised that constant temp meant constant KE but then went on to state that the PE must increase and so the internal energy would increase.<br/><br/></p>\n<div class=\"question_part_label\">a.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.ii.</div>\n</div>",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "22M.2.SL.TZ2.3",
+    "Question": "<div class=\"specification\">\n<p>A loudspeaker emits sound waves of frequency<em> <math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi></math></em> towards a metal plate that reflects the waves. A small microphone is moved along the line from the metal plate to the loudspeaker. The intensity of sound detected at the microphone as it moves varies regularly between maximum and minimum values.</p>\n<p><img src=\"data:image/png;base64,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\" style=\"display: block; margin-left: auto; margin-right: auto;\"/></p>\n<p>The speed of sound in air is 340 m s<sup>−1</sup>.</p>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Explain the variation in intensity.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>Adjacent minima are separated by a distance of 0.12 m. Calculate <em><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi></math></em>.</p>\n<div class=\"marks\">[2]</div>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px; padding-right: 20px;\">\n<p>The metal plate is replaced by a wooden plate that reflects a lower intensity sound wave than the metal plate.</p>\n<p>State and explain the differences between the sound intensities detected by the same microphone with the metal plate and the wooden plate.</p>\n<div class=\"marks\">[3]</div>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Markscheme": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>«incident and reflected» waves superpose/interfere/combine ✓</p>\n<p>«that leads to» standing waves formed <em><strong>OR</strong> </em>nodes and antinodes present ✓</p>\n<p>at antinodes / maxima there is maximum intensity / constructive interference / «displacement» addition / louder sound ✓</p>\n<p>at nodes / minima there is minimum intensity / destructive interference / «displacement» cancellation / quieter sound ✓</p>\n<p> </p>\n<p><strong><em>OWTTE</em></strong></p>\n<p><em>Allow a sketch of a standing wave for <strong>MP2</strong></em></p>\n<p><em>Allow a correct reference to path or phase differences to identify constructive / destructive interference</em></p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>wavelength = 0.24 «m» ✓</p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi>f</mi></math> = «<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mfrac><mn>340</mn><mrow><mn>0</mn><mo>.</mo><mn>24</mn></mrow></mfrac></math>=» 1.4 «kHz» <em><strong>OR</strong> </em>1400 «Hz» ✓</p>\n<p> </p>\n<p><em>Allow <strong>ECF</strong> from <strong>MP1</strong></em></p>\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n<p>relates intensity to amplitude ✓</p>\n<p>antinodes / maximum intensity will be decreased / quieter ✓</p>\n<p>nodes / minimum will be increased / louder ✓</p>\n<p>difference in intensities will be less ✓</p>\n<p>maxima and minima are at the same positions ✓</p>\n<p> </p>\n<p><em><strong>OWTTE</strong></em></p>\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "Examiners report": "<div class=\"question\" style=\"padding-left: 20px;\">\n<p>ai) On most occasions it looked like students knew more than they could successfully communicate. Lots of answers talked about interference between the 2 waves, or standing waves being produced but did not go on to add detail. Candidates should take note of how many marks the question part is worth and attempt a structure of the answer that accounts for that. At SL there were problems recognizing a standard question requiring the typical explanation of how a standing wave is established.</p>\n<p>3aii) By far the most common answer was 2800 Hz, not doubling the value given to get the correct wavelength. That might suggest that some students misinterpreted adjacent minima as two troughs, therefore missing to use the information to correctly determine the wavelength as 0.24 m.</p>\n<p>b) A question that turned out to be a good high level discriminator. Most candidates went for an answer that generally had everything at a lower intensity and didn't pick up on the relative amount of superposition. Those that did answer it very well, with very clear explanations, succeeded in recognizing that the nodes would be louder and the anti-nodes would be quieter than before.</p>\n<div class=\"question_part_label\">a.i.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">a.ii.</div>\n</div><div class=\"question\" style=\"padding-left: 20px;\">\n[N/A]\n<div class=\"question_part_label\">b.</div>\n</div>",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, by reference to nuclear binding energy, why the mass of a nucleus is less than the sum of the masses of its constituent nucleons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in MeV, the energy released in this decay.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The polonium nucleus was stationary before the decay.\n  </p>\n  <p>\n   Show, by reference to the momentum of the particles, that the kinetic energy of the alpha particle is much greater than the kinetic energy of the lead nucleus.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In the decay of polonium−210, alpha emissions can be accompanied by the emissions of gamma photons, all of the same wavelength of 1.54 × 10\n   <sup>\n    −12\n   </sup>\n   m.\n  </p>\n  <p>\n   Discuss how this observation provides evidence for discrete nuclear energy levels.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A sample contains 5.0 g of pure polonium-210. The decay constant of polonium-210 is 5.8 × 10\n   <sup>\n    −8\n   </sup>\n   s\n   <sup>\n    −1\n   </sup>\n   . Lead-206 is stable.\n  </p>\n  <p>\n   Calculate the mass of lead-206 present in the sample after one year.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  according to Δ\n  <em>\n   E\n  </em>\n  = Δ\n  <em>\n   mc\n  </em>\n  <sup>\n   2\n  </sup>\n  / identifies mass energy equivalence ✓\n </p>\n <p>\n </p>\n <p>\n  energy is released when nucleons come together / a nucleus is formed «so nucleus has less mass than individual nucleons»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  energy is required to «completely» separate the nucleons / break apart a nucleus «so individual nucleons have more mass than nucleus» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept protons and neutrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  according to Δ\n  <em>\n   E\n  </em>\n  = Δ\n  <em>\n   mc\n  </em>\n  <sup>\n   2\n  </sup>\n  / identifies mass energy equivalence ✓\n </p>\n <p>\n </p>\n <p>\n  energy is released when nucleons come together / a nucleus is formed «so nucleus has less mass than individual nucleons»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  energy is required to «completely» separate the nucleons / break apart a nucleus «so individual nucleons have more mass than nucleus» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept protons and neutrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  (\n  <em>\n   m\n  </em>\n  <sub>\n   polonium\n  </sub>\n  −\n  <em>\n   m\n  </em>\n  <sub>\n   lead\n  </sub>\n  −\n  <em>\n   m\n   <sub>\n    α\n   </sub>\n  </em>\n  )\n  <em>\n   c\n  </em>\n  <sup>\n   2\n  </sup>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  (209.93676 − 205.92945 − 4.00151)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  mass difference = 5.8 × 10\n  <sup>\n   −3\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  conversion to MeV using 931.5 to give 5.4 «MeV» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for 8.6 x 10\n   <sup>\n    −13\n   </sup>\n   J.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  energy ratio expressed in terms of momentum, e.g.\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <msubsup>\n      <mi>\n       p\n      </mi>\n      <mi>\n       α\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <mo>\n      /\n     </mo>\n     <mn>\n      2\n     </mn>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mi>\n       α\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <msubsup>\n      <mi>\n       p\n      </mi>\n      <mtext>\n       lead\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <mo>\n      /\n     </mo>\n     <mn>\n      2\n     </mn>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mtext>\n       lead\n      </mtext>\n     </msub>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi>\n     α\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  hence\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n   </mfrac>\n   <mo>\n    ≃\n   </mo>\n   <mfrac>\n    <mn>\n     206\n    </mn>\n    <mn>\n     4\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    51\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ⇒\n   </mo>\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mi>\n     α\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    51\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     m\n    </mtext>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  «much» greater than\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     m\n    </mtext>\n    <mtext>\n     alpha\n    </mtext>\n   </msub>\n  </math>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  alpha particle and lead particle have equal and opposite momenta ✓\n </p>\n <p>\n  so their velocities are inversely proportional to mass ✓\n </p>\n <p>\n  but KE ∝\n  <em>\n   v\n  </em>\n  <sup>\n   2\n  </sup>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  photon energy is determined by its wavelength ✓\n </p>\n <p>\n  <br/>\n  photons are emitted when nucleus undergoes transitions between its «nuclear» energy levels\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  photon energy equals the difference between «nuclear» energy levels ✓\n </p>\n <p>\n  <br/>\n  photons have the same energy / a fixed value\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  energy is quantized / discrete ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  undecayed mass\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mi>\n     e\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      8\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        8\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      365\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      24\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n  </math>\n  g» ✓\n </p>\n <p>\n  mass of decayed polonium «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    -\n   </mo>\n  </math>\n  undecayed mass»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n  </math>\n  «g» ✓\n </p>\n <p>\n  mass of lead «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     206\n    </mn>\n    <mn>\n     210\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    1\n   </mn>\n  </math>\n  «g» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    [2] max\n   </strong>\n   for answers that ignore mass difference between Pb and Po (4.2 g).\n  </em>\n </p>\n <p>\n  <em>\n   Allow calculations in number of particles or moles for\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Still several answers that thought that the nucleus needed to gain energy to bind it together. Most candidates scored at least one for recognising some form of mass/energy equivalence, although few candidates managed to consistently express their ideas here.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Still several answers that thought that the nucleus needed to gain energy to bind it together. Most candidates scored at least one for recognising some form of mass/energy equivalence, although few candidates managed to consistently express their ideas here.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  Generally, well answered. There were quite a few who fell into the trap of multiplying by an unnecessary c\n  <sup>\n   2\n  </sup>\n  as they were not sure of the significance of the unit of u.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  Those who answered using the mass often did not get MP3 whereas those who converted to the number of particles or moles before the first calculation did, although that could be considered an unnecessary complication.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  Many identified conservation of momentum and consequently the relative velocities but it was common to miss MP3 for correctly relating this to KE.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Several answers referred incorrectly to electron energy levels. Successful candidates managed to score full marks, although it was also common to miss the relationship between energy and wavelength.\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The intensity of light at point O is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      I\n     </mi>\n     <mn>\n      0\n     </mn>\n    </msub>\n   </math>\n   . The distance OP is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   .\n  </p>\n  <p>\n   Sketch, on the axes, a graph to show the variation of the intensity of light with distance from point O on the screen. Your graph should cover the distance range from 0 to 2\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   .\n  </p>\n  <p>\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  smooth curve decreasing from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     I\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n  </math>\n  to 0 between 0 and\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  secondary maximum correctly placed\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  of intensity less than 0.3\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     I\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   E.g.\n  </em>\n  <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVUAAADyCAYAAAD9YlbMAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACKVSURBVHhe7d0JlBTV1Qfwy5dEdsEB2ZcBEQYcNS4sKiiMDEuGTTbZE4mIKChqWMQgoOYoEREMoBAhkUEiooAEgoJA2ARBGBxgwiaMwyICIvtiNPPxv101p8EemO5+1VPV/f+dU6e7qnuqe2q5/erVe/cVyL5IiIjIiP+zHomIyAAGVaJc8CLOm/J7vzGoRsD+/ftlypQp8t///tdaYgYOHtPrhP/973/y008/WXNm/fjjj9Yzc7AdnPi+hw8f1m1h2g8//GA9M8uJ9WLbOvV9nTgWcBwcOXLEmssfrFN1WEZGhuzZs0c2btwo8fHxkpycLKVKlbJeDY8dTH75y19aS8ywA8n//Z/531x831/84hfWnBnYDvjOptd79OhRiYuLM74d8EP4q1/9ypozx2vrdeJYwDqPHz8e0jlWsGBB61l4GFQdlpmZqcH0rbfekr59+0pWVpZUrVrVejU82HX4tTd9wCNAYd2mD3jA9zX9I+BUUP3222/l+uuvNx5UUfK75pprrDlznFgvti2CqhPf14ljAUH1u+++kzJlylhLIo+X/w5DQLUVKFDAWEAlIndiUCUiMohBlYjIIAZVIiKDGFSJiAxiUCUiMohBlYjIIAZVIiKDGFSJiAxiUCUiMohBlYjIIAZVIiKDGFSJiAxilqoImThxovTp08eaMwO7jqn/nE39hxRySIRjElP/+TiVpSrU1H+mMnExqEYIUv89+uij1pwZ2HVM/cfUfzam/mPqPyKiqMOgSkRkEIMqEZFBDKpERAYxqBIRGcSgSkRkEIMqEZFBDKpERAYxqBIRGcSgSkRkEIMqEZFBDKpERAYxqBIRGcQsVRHitdR/WHesZ6k6cuSIppAznaXKSyn6sG2dyIQGTmWp+v7776V06dLWkrxj6j+PYeo/Hy8FVab+821bpv4LDi//iYgMYlAlIjKIQZWIyCAGVSIigxhUiYgMYlAlIjKIQZWIyCAG1SCkp6fLF198Yc0REf0cg2oQhg4dKrNnz7bmiIh+jkE1j9BbZcuWLVKvXj1rCRHRzzGo5tGBAwe0+1ujRo2sJUREP8egmkfbtm2Tm2++OV/7FBOR+zGo5tGuXbvkrrvusuZ8iSamT58uqampmhjiSpDk4fDhw5KVlSUnT560lhJRNGKWqjxChql7771XunXrpvMrVqzQQHvhwgUpUKCAPPbYY7o8kIyMDOncubNUqFBBChcuLImJiXLjjTdK3bp1pXjx4ta7gudUdiasE0xnZwKs2/R6sR0wmV7v6dOnpWjRorp/TcKPrBMZwJxYr1PHGDhxLGCdZ8+elWLFillL8q5KlSrWs/AwqOZRkyZNZNq0aVKtWjWd79evnwwfPlxKliwp3bt3lzlz5uR68mETjx07Vrp27SoHDx6UnTt3yvbt2+Xrr7+WGjVqSMeOHaV27drWu/MO62XqP+dOfKb+821bpv4LjvmiSBTCQXX8+PFLfsmQwLhQoUJa8jx16pS1NDAEW5R4UFK98847tbT7wgsvaOLq+Ph4GTFihOZbPX/+vPUXRORVDKp5gF/UYcOGXVISiouLk3PnzumlBoJrKHCJ0rNnT3nqqadk6dKlMnLkSP2VJSLvYlDNA5RGO3XqZM35oGkV2q2uW7dOWwWEU++GG2B/+tOfdBiIQYMGyaFDh6xXiMhrGFRD9OCDD8ry5ctl/vz5GgjDVbNmTRk9erTW4U2YMOGqLQqIyJ0YVEOEinsEwfHjx2tVgAm46TVq1Ci59tpr5Y9//CNLrEQexKDqMqifffLJJ/WOM+pxcQeaiLyDQdWFChYsKIMHD5YiRYrISy+9pC0PiMgbGFRdClUBzz33nDbXeuONN7T9HRG5H4Oqi5UvX17rWJHMZe7cudZSInIzBlWXq1q1qrZfRY8t9MQiIndjUPUAlFiTk5O1BxZyDRCRezGoekRKSoo2sZo5c6b2xyYid2JQ9QgkiOjVq5f885//1LGyiMidmKUqQiZNmiSPPPKINRcaZGKaOnWqdo199dVX5brrrtNWAaYz/eBzwHR2JvBSejrkwC1durTx7YAEPaYzi4HX1uvEsYB1ors39luwTJ1HDKoRgixUyMkaLhzgSDmIfKy9e/dm6r+LnAqqTP3H1H+h4OW/xyCAosS7cuVKOXHihLWUiNyCQdWDqlevLgkJCTJr1ixrCRG5BYOqRzVr1kw++eQTHfeKiNyDQdWjfv3rX0uDBg00S9bVRh4goshhUPUo3JTBOFnHjh2TGTNmsO0qkUswqHoYhmNBsuwlS5ZIZmamtZSI8hODqsclJSVJ5cqVWVolcgkGVY9D+8H+/fvL1q1bdSKi/MWgGgXQEaBt27bahZWI8heDapRo1aqV7NixQ29cEVH+YVCNEhgsEM2s0CGAdatE+YdBNYrcc8898u9//5uDBRLlIyZUiZA333wz7CxVl8Ou889ShQQVQ4cO1exVeAw1wYiTWaq8lFCFWap8nFqvUwlVUAWGRDjBMnX8sKQaQQUKFDA++a8XB37fvn0lLS1N1q5de8n7gp3818vJG5MT+8wW6LVom0xhUI0Q7DSUeJyeatWqJXXr1pWPPvpIPzfQezjlbXJqn0XqWIjVKdTtawqDapTBAdWpUyfZs2eP7N6921pKRJHCoBqFatSooQMFIosVEUUWg2oUQmm1R48esmHDBmawIoowBtUoVaJECa1f/de//mUtIaJIYFCNYsi3+vHHH8uZM2esJUTkNAbVKHbnnXfKyZMntUMAEUUGg2oUQxVA+/bttesqhu0lIucxqEa5du3aaa+VOXPmWEuIyEkMqlGuaNGi0qJFC1m6dKkcP37cWkpETmFQjQEIqugfj2FXiMhZDKoxAGkBGzVqpM2rfvjhB2spETmBQTVGdOzYUbMCffHFF9YSInICU/9FiFOp/xAo85qWbe7cubJ9+3Z59tlnrSWBIY0e1m06lR4w9Z+3UvQFe4wFg6n/yJXQJTWv7r//fk2ykpfOAMGsNxhOrZec4cX9ld/fmSXVCHnrrbfk0UcftebMCKUUMXLkSKlfv760bNnSWvJzLKn6YAQFlHhMl1RRr41RcE1zYr3YtigBO/F9nSqpfvfdd1KmTBlrSeQFdbTg7vHq1autucDOnz/vSA+ezz77LGe00BMnTsiqVav0OQWncePG8v7772tPKyIyL6igesMNN0jVqlWtucA+//xzLQ2ZVqVKFUlISNDnU6dOlfHjx+tzCg5KqSh5MNEKkTOCCqqnT5/OqY9bsGCBppZ75plnZPjw4bJ//35djhLloUOH5IMPPtB5PH/++edlwIABugyXaTB//nzZtWuXTJgwQcdTOnDggC6H9PR0efrpp2X06NFy5MgRXYbPRekKyZfXr18vmZmZWnL1Dw4XLlyQd955R86dO2ctocsVLlxY61aRa5Xbici8oILqwoULZdmyZfr8xRdf1LvZqBRGgEV3SNSRYGwkO6iiPqZnz56yc+dOrZMZMmSIBlAsR2k2JSVFAyTGVOrQoYP+/ddffy1NmjTRaoR58+ZJ69atdfmKFSt0nXv37tVmQVlZWRrUu3XrpnUosHHjRhk7dqwj9T/RBJ0BUIWCH0AiMiusGviBAwfKmDFjdDykzZs3y9GjR7XkivHn33vvPfnyyy+lQoUK+vy1116TdevWyd/+9jd9HyAQT58+XScERHSj3LRpk44G+vrrr2sQRx2gf4N1lLL69esn9957r4waNUpuvPHGnPGYUN/bpUsXR26wRJPy5cvL7bffrmkB7SsHIjIjrKCKYTsAJynuumHyt2bNGg10CIyYMHYSoDQKqN+DkiVLamkUJzjehxM+MTFRnnjiCU20nNvdV5SSEdgRgPH3y5cvl4ceesh6la4EPz4o9eMqgojMCSuoXq2pSZEiRaR79+7aGsCeUEeKPJ8Q6O+RAGTy5MmycuVKTbKM+lrUu+YGPYUwZMi0adO0hFquXDnrFboS3HREaR/VKkRkTlhBNTe4u4x606SkJK1vxQ0mzGdkZGjVANr/5ebtt9+W5s2baxUA2nXedtttegPKH0qo9mcULFhQAyt6CdWrV896B10NtmGzZs20ioZVAETmGA+qqArAjSQE1LJly8rdd98t1apV02CK8ehRJ3qlhrm4LMWlPC77Ub2AqoLf//731qs+aFqFu9cvv/yyzmOQO3RNa9iwoc5T3mAb44eJVQBE5gTVowp35FHCQekQl9xonoMeEVgF7iYjGxJeR3Mn3HS6+eabdf6rr77S0mrFihX18hzL8PeFChXS3kD+f48qAZRC0Ucdl/MIrLibj9IqSlT4TLwf3S3x2fHx8Vqt8Nvf/lb/BlUObuSWHlWXw01EXEGgNYZdHYPtjHWzRxV7VGHbskdVcII6WhAEEVChePHiORsEQRI3m3Dw4TlKprhsx+s40GvWrKn1qCjF4nXA39vBwP/vAcsRkOvUqZOzM/G5CKiA9+OuPz7n8ccf12ZXL7zwgmsDqpshJSDaBW/dutVaQkThMH75H2lowoW7/iipUvDwQ4cfKHSkQKmEiMLDhCoRMmnSJOnTp481ZwZ2HS53wr2EQguAiRMnyrhx47RdsZOX//i+pteL7+rE5T9aqpQqVcr45T8up8OpssmNE+vFtg23iik3Tl3+Y5BLpGwMlqn/kUE1QlCn2rdvX2vODFMHPOrK0TuuadOm0qtXL9apWpyqU/VaUPVanWqo+VTtqslwef7y30uw09w4oa66c+fO2sMKvd0CvYeTucmpY8Gp9XptCnU7mMKgSgptg0uUKCGzZ8+2lhBRKBhUSeHyDm2I0bX47Nmz1lIiChaDKuVAhw20B0Z7XyIKDYMq5cCd7rZt2zoycgNRrGBQpUu0adNGOwOgRQARBY9BlS6Bm1Xo+ssE1kShYVCln7njjjt0mBq0+SOi4MRsUEUSEYyBNWXKlFzHwUfSFgxkaE92cm0bEnAjSUq09Z9ARjEksOYNK6LgxWRQxRDNgwYN0hIZkmJjkMFAMGAhRhXApTAmZN/yh+ZH+HuTDYfdoFKlSprQBhms0FOJiPIu5oIqSpUYtBBZrdAtEyMTIO0gUhEGgkTOTz31lE733XeftdQHmZ3QtjPa4EcC22XLli06KCMR5V3MBVU0bMdor1WqVLGW+G7O7Nu3z5q7FIbexqCFl2dxwnOUXHGpHI0w3AqyV6HrarRVbxA5KeaCKhq34waMf+IJ5IlFZptApk6dqr2NkMXJHrUVkAwCibeROs+GxBOXD/3iVUgi0rJlSy2p4keIiPIm5rJUIXiiFIbRCDAOFvTv31+HZMFAg/4WLVqkIxUg4TYGIsRNKdzgggMHDuQMaggIqIMHD9YMORj+BYPq+Rs7dqxmgDIJu86J7Ex2PSr+J1R7NGnSJGck3HA5lfoPk+lsUhi9wh6NwiQnsjOBUxnAsM+c+L5OHAs4dlGVh6vPYIWSLjCQmAuqGHICIwYgsTVGJAAEx1deeUUqV66s8zZsGvsmFO6E33rrrXqiIatTamqqrFu3TkuwgFIsRh7AOFk9e/aUWbNmXXLAIJ8q0uuZhO+HE8l0ujccmFg3vj/GAps+fbr+nxidIVxOnfhO/LgcPnxYTzSm/vNW6r9Q86ma+i4xd/mPgyMlJUVmzpypB8y5c+d0TBuMnwU7duzQ0ubp06flL3/5S06pbcOGDXpjyx7SZcmSJXqH3LZp0yZN8IzXsWMRvP3hxMRO89qE/xmlNfx/gV6P5glBOtDycCevrddrU6jnmikxF1RhxIgRMn/+fL0cb9WqlXbNtEsjAwYMkKVLl+qYWLjUR1DBOFgTJkzQ0iYgGO/atSunpAv4ezsA24/RANuhRYsWOkIuEV1dzGb+R73L5s2bte4lMTExJ6ii5IpLKPxyITii7hWN/nHp759NHB0GcIPLvuREyRc3rVCXiqQkqA7wvxx162iqgeD/xrrt74/LKbTlxY+KXVIPlZcu/zmaqjcv/z01mmo0wWiuGEn0lltuueSkQdCwdzSWo1kRSquXD8+ARv/+JzFGdEUHAfTSevjhh42f4PkJN/Rq1aolCxcutJYQUW5iNqiahiD93HPPybBhw6Rdu3bW0uiBFgAffPBBrp0kiMiHQZXypE6dOvq4bNkyfSSiwBhUKU+KFSsm9evXl8WLF2sdGxEFxqBKeYL2umglgU4PaF5FRIExqFKeVa9eXVs3IHsVS6tEgTGoUp6htNq1a1fJyspirlWiXDCoUlCQCwF5aNevX28tISJ/DKoUFLtuFfWq0dRzjMgUBtUIQu8U01N+rBfNq9BJAvkQAr1+pelK63Xb5NR39dJ6bYFeC3dy23pNidluqpGGLE9ezFKVG/SuQmrEcePGBdXV0EvdVI8cOSKlSpUy3k3ViWxS4FQ3VSeOMXCqm2qoWapM/Y8MqhHi5b7/gRw8eFATzaAHWd26da2lV+eloMq+/75ty77/weHlP4UEN6xq164tCxYs0BOPiHwYVCkkKL3hhlV6eroO5U1EPgyqFLJ69epplq+///3veilHRAyqFAaUVjF0zLZt25jEmsjCoEphwSCKGKb7ww8/ZLtVoosYVCks6AyA/LGoV92/f7+1lCh2MahS2DAAIpKtbNy40VpCFLsYVClsaB/au3dvHfabN6wo1jGokhHouopE1qtWrbKWEMUmBlUyAnWr6Fk1b9487dVCFKsYVMmYBg0a6HDe69ats5YQxR4GVTIGXVeTk5NlxowZcubMGWspUWxhUI0g9JE3PblpvYDOAKdPn5a5c+cGfA8nd+2zq022QK+5dQr1+5rCLFURMmnSJOnTp481ZwZ2XX5lqbqSmTNn6qir+J+LFCliLfXxUpYqpv5z7hgDJ44Fpv6LIdGW+u9KcFAjLeBjjz0mDRs2tJb6eCmoMvWfb9sy9V9wePlPxl133XXSsmVLWb16tbWEKHYwqJIj2rdvL3v37tWJKJYwqJIjihYtKo0aNZK//vWvTLRCMYVBlRyDoJqRkcGcABRTGFTJMVWqVJHExESmBaSYwqBKjkHX1b59+8q+ffu0+yobmlAsYFAlR1WuXFm6dOki//jHP5hvlWICgyo5rlmzZhIXF6eBlSjaMaiS4woWLCjdu3eXtWvXysGDB62lRNGJQZUi4u6775YaNWrIypUrrSVE0YlBlSIC3REHDBggK1askGPHjllLiaIPgypFDJpY3XLLLdohgC0BKFoxqFJEJSUlad1qWlqatYQoujBLVYRMnDjRkdR/yMpjOtOP3VDfdHYmQMaj0aNHaxXAyy+/rDexwoXt4ESWKq+l/nNivdi2Xkv9d/z4cd1vwTKViYtBNUJiKfXfleD7HjhwQJ5++mlNaN2uXTvrldDhuzoRVJn6z7dtmfovOLz8p4irWrWq9OvXT9utZmZmWkuJogODKuWL+++/XxNYv//++9YSoujAoEr5AnkBevXqJdu2bdMRWImiBYMq5ZsSJUrIPffco/XNqF8jigYMqpSvOnXqpHfZJ0+erDcZiLyOQZXyFcazeuaZZ+TTTz+VhQsXWkuJvItBlfJd7dq1pWPHjpKamipfffWVtZTImxhUyRUQVOPj42X8+PHa3pLIqxhUyRXQs2rgwIFav7p8+XJrKZH3MKiSa1SsWFGeffZZHdOKzazIqxhUyVWQxQodA0aNGiVHjx61lhJ5B4MquU6rVq20H/9rr70m58+ft5YSeQODagQhOQWnq09FihSRQYMGyd69e7VjANqvBnofJ06BplDPNVOYpSpCJk2apMM1m4Rd58UsVXnNTLRr1y559dVXdeBAtA7IDb6rE1mqDh8+LKVLl475LFVOHGPgVJYqpJVEdrFgmTp+GFQjhKn/fII9kQ4dOiRDhgyR3/3ud9K4cWPNGXA5fFem/mPqP2DqP6KrKFeunHTr1k2TfH/++efWUiL3YlAl10tOTtbRWHHjav369Vp6InIrBlVyPVx+9+/fX/Ovoo513bp11itE7sOgSp6AOr3HH39cc7Dipt+8efNYYiVXYlAlz8BNjdatW+uAgfPnz5cpU6YwTwC5Du/+Rwjv/vuYuuO7ZcsWeemll6R69eqaMwBNn6L17j/2B/7mzJkzOiE/wvfffy+nTp2Ss2fP6nT69Gl9Da0jsI2x/7CdcWzgs5BbAe1/CxcuLEWLFpVrr71W4uLipGTJkjqP1/B+/K/+LSywHt79Dw6DaoQwqPqYPJF2796tN6/OnTsngwcPljp16livmBHpoIptjv/lm2++0dwH+/fv1yZlGH0WXXbRuwwBDvsFf49gaAfLYsWK6XFgT4BtbU/4TARhBF+s58KFC7ocn4n3FypUSAMtfpzKly+f84hBGpHzFp9hejuYPBZsDKpRADsQU7Vq1a4Y3BhUfUyfSAgUU6dOlQ0bNuj2xfAspk5+p4MqtgUC5vbt27X3GAIpRpdFyRP7FGPXly1bVqpUqSIVKlTQ74IhaFDCRBDFdsQ+skuWVysBY59i3yLwYMK2Q4kXE8bKx3GMgH7w4EF9jgCM92Gd+Gw0b0OgRYpGTPhuCLahHicMqvQzb7/9tt6JxgG2Zs0aeeWVV+TWW2+1Xr0Ug6qPEycSvu/q1atl9uzZGmCQkAVNsBAIwmEqqKJ0id5ZCJwImgikmMfJjyCJ7FwIApgQtDChdIhgFqizQ26uFlTzyg4JWB96JyHIomrBDsCofsD3RyBGEEOJGQEXQRbf2/4xwLZD9UJu+5tBlS6BE7lDhw4yZ84cPfC//PJLeeedd2Ts2LHWOy7FoOrjxImE74rvjP2AH7d3331XT/o2bdpI+/bt9bI2FKEEVXwXlPAQONPT02Xjxo06mgH+b1xS33TTTXpVg6oK/Bhj3wUTOK/EVFD1h/8nUJ0qlgP+L2wn/I/40cD/jSBsV1dgXyPAVqpUKaeEa/9ooMoBk0kMqh6GSyf05Z85c6bO45ccXSlRWgqEQdXHyaBqf1/UF6LkiuCK5w0aNJAmTZpIrVq1gtpWeQmq+FwcCzt27JC0tDTNV4C6UNSNosSGVIYYLqZmzZpaIkVwciL4QSSD6pXY2wRVCZj27dunE0rpKPnaxywCK4ItSrn2hGoObDd8HvZnsD84wQZVlLzxPUxiUA0RbiAgkxLGVQIc0CgVLViwQOcvx6DqE4mgasOJvXjxYlm2bJmWoHDC1q9fXxISEqRGjRp6aXql/9E/qNrbGuvEunCTDIE0KytLS8X4fAQIBM8bbrhBHytXrhwwGEV7UM0NAh62H4Iegu2ePXv0EdsZVQoomGA74rOKFy+u+wfb365GwITqEgRB1CvbN8+wD+0fvmCD6ieffKKfhx9dUxhUQ4SD4Q9/+IOWhgAHdNu2bWXRokU6f7kRI0YY3XGAXYeDyHSQwoENwVz25hW+r+lgje0QKKja8DoC39atWzUYorSEZXZpCScqmhph3l4HAuiJEyd0G+ByHvWH2Mf4/ig94UYRSlY44XECI6DmtZrBiR8WQPAz/QPr1DEG/scCPgele2xz7B8EX0yYxyP2AbY//kf7+AR8L0xoBYHgiOd4HfvC3p924MWEfYfJPwijmgY3AydMmKDLwsWgGiLs6N69e+dc7mPnP/TQQ1rHGghOJHIXnFCo+0MdIE5au5kR4OS023TichSBEyetqfpPCh9Clz2hxQSCMupxMeE59ieCMPYzHrFv8V4EXf+CA0qrd9xxh57PJjCohgg7JSUlRceqx45Zu3atzJo1S8aNG2e9g4jcDtV1uFpBUzxTGFTDMGzYMH1Ens/hw4dr98mkpCRdRkTud/LkyZBbh+SGQTUMuGREjx7c2fzNb34jDzzwAC8PiWIcg2oEoKrAvoPKoEsU3czf3qVLoEE0qgfuuusubYyO5h5EZAaatQ0dOlTGjBmjLTzcgEHVYa+//rrWvaI7a9OmTbVrKxGFD724kF/3tttuk23btmnhxQ2FFgZVh6GhePPmzfXSHz2wNm/ebL1CROFAaxu0/37wwQe1sIJuwNOnT7dezT8Mqg6y28PZ9ahooIy7jeR+6FKJLow2XFqiPSu5B4bYwfhlgIb96MWGnlmALsMIuvYtoyVLlkRs4EgGVQdhh+IGlQ3BFQ2Syf1WrVolHTt21P2Hy0x0QUZrD3IPu9cU7Ny5U1auXJnTFRx5HpDEHANFYl+iPXm9evX0NacxqDrs8rv9drc8creuXbtq99U333xTXnzxRXnvvfe0JETugysKBNNp06Zpd1NAXgA0d0SSI7QfHzlyZMRa3jCoOsjuX2xDqQdVAOR+6KaKkxKdOrp06aJ9+8l9UL2GH7033nhDR9v1h5Isri5Q54pkLJHCoOog/DKi7ziaVcFnn32muTTJ/ZC8Y/z48Zrw2q6nI3dBn36UQtHFNDEx0Vrqk5GRIX/+85+1Xz9+HP3rx53Gxv8Ow91+jFWP/sXIdIRfVQZWd8OggmgKh+Y6GEEAl5AoCeHuMrkHksJjtI3bb7/dWiL6I4gSK1oDoGUACjVIcoQ8t0OGDLHe5SwG1QjAJsZ0eXUAuQ9uJCL3bffu3XOCKLL34wcRJyy5h926xp9db4pH+3zDuYf3Rep+BoMqEZFBLDoRERnEoEpEZBCDKhGRQQyqREQGMagSERnEoEpEZBCDKhGRQQyqREQGMagSERnEoEpEZBCDKhGRQQyqREQGMahS1NqwYYOMGjVKn6empuqQGlfyn//8Rw4dOmTNEYWGQZWiFpJLb9q0SZ8nJCRIfHy8Ps8NxqRiUKVwMahSVDl37py8++67MmHCBDlx4oS1VOT666/XROGAYDtlyhRNPL1v3z5dlp6erkNv4BF+/PHHnKzxM2bMyBnA8dixY1oCRvJxvIaB5ezsmcjZiVE7x4wZIx9++KGuA/A6BqUbN26cbN26Nef9FJ0YVClqIEDWrVtX1qxZowESw2nYMCjcRx99pCOjYlTN/fv3y5kzZ+SBBx6Qs2fPyrJly3T4cDxiOTL+I7M8kh2j2qBNmza6HgTRpk2bytSpU/Xv2rVrp0EXf9O4cWMN1vgbZJsfOHCgLsffIshjiJYnn3xSM9BfnlyZogiSVBNFg+effz67R48e1lx29sSJE7MvBjR9Pnz48OxJkyZlL1++PLtEiRLZF4Ne9sUgmp2ZmZl9sUSp70lISMhOS0vT+YslVn28WELNXr16dXbp0qX1PYsWLcouU6ZM9oULF3R+0KBB2Q8//HD2p59+mt2wYcPsn376SZfjcd68edmpqanZycnJ2adOndLp8OHD+ve7d+/W91H0YUmVosaePXu07tRmD1fsD4PEoe4UI6RWrFhRqwAwgJw/DLuBEm1KSooOS92iRQvrFR9UI1xzzTX6vFChQlrqvBgs5aabbsoZwgOPbdu21bGRUCVQvHhxnS4GVH3vxWCu76Pow6BKUaNYsWJysTRozflGRL0chp6ePHmyBjvUfX788cc6tr8/1Jn27t1bmjdvrlUAS5cutV7JHYKs/2fDwYMHpXDhwtK6dWsNpP5To0aNrHdRtGFQpajRpEkTrcu0hyO+eNmuj/7QtAolz3Llyskjjzwi/fr1k2+++cZ61XdTCS0G6tSpo/WfCH5paWlaGr28ROuvdu3aWiJFXS2gTrdVq1ZaMl61apUcPXpUb5ah3hafi0eKTgyqFDU6dOigo6A2a9ZMkpKS5Ntvv81pRlW2bFkpVaqUlhrLly+vwxjjPYsXL5YBAwboe1AyxXPciMKleoMGDXRdqFZA0Dxw4IAur1Wrlr4fsN5KlSpptcPIkSOlc+fOGtwx8uoTTzyhQRU3zFDyve+++6RHjx6SnJwscXFx1hoo2nA0VSIig1hSJSIyiEGViMggBlUiIoMYVImIDGJQJSIyiEGViMgYkf8HvWO3s1fsWOkAAAAASUVORK5CYII=\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  smooth curve decreasing from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     I\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n  </math>\n  to 0 between 0 and\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  secondary maximum correctly placed\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  of intensity less than 0.3\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     I\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   E.g.\n  </em>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Most scored MP1. Many candidates scored full marks but it was common to see a maximum at 2x or a secondary maxima too high.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Most scored MP1. Many candidates scored full marks but it was common to see a maximum at 2x or a secondary maxima too high.\n </p>\n</div>\n",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "22N.2.HL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The diagram shows field lines for an electrostatic field. X and Y are two points on the same field line.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Outline which of the two points has the larger electric potential.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the kinetic energy of the satellite in orbit is about 2 × 10\n   <sup>\n    10\n   </sup>\n   J.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the minimum energy required to launch the satellite. Ignore the original kinetic energy of the satellite due to Earth’s rotation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  potential greater at Y ✓\n </p>\n <p>\n </p>\n <p>\n  «from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    E\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi>\n       e\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      r\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  » the potential increases in the direction opposite to field strength «so from X to Y»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  opposite to the direction of the field lines, «so from X to Y»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  «from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    W\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    q\n   </mi>\n   <mo>\n    ∆\n   </mo>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi>\n     e\n    </mi>\n   </msub>\n  </math>\n  » work done to move a positive charge from X to Y is positive «so the potential increases from X to Y» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  potential greater at Y ✓\n </p>\n <p>\n </p>\n <p>\n  «from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    E\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi>\n       e\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      r\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  » the potential increases in the direction opposite to field strength «so from X to Y»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  opposite to the direction of the field lines, «so from X to Y»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  «from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    W\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    q\n   </mi>\n   <mo>\n    ∆\n   </mo>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi>\n     e\n    </mi>\n   </msub>\n  </math>\n  » work done to move a positive charge from X to Y is positive «so the potential increases from X to Y» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  orbital radius\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     6\n    </mn>\n   </msup>\n   <mo>\n    +\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    9\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     6\n    </mn>\n   </msup>\n  </math>\n  m» ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    KE\n   </mtext>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      67\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        11\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       24\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     10\n    </mn>\n   </msup>\n  </math>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1] max\n   </strong>\n   for answers ignoring orbital height (KE = 2.5 × 10\n  </em>\n  <sup>\n   <em>\n    10\n   </em>\n  </sup>\n  J\n  <em>\n   ).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  change in PE\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    67\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      11\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     24\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        4\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         6\n        </mn>\n       </msup>\n      </mrow>\n     </mfrac>\n     <mo>\n      -\n     </mo>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        9\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         6\n        </mn>\n       </msup>\n      </mrow>\n     </mfrac>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     9\n    </mn>\n   </msup>\n  </math>\n  J» ✓\n </p>\n <p>\n  energy needed = KE + ΔPE =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     10\n    </mn>\n   </msup>\n  </math>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from 8(b)(i).\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A significant majority guessed at X, probably because the field lines are closer together. Those that identified Y were generally successful in their explanation.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A significant majority guessed at X, probably because the field lines are closer together. Those that identified Y were generally successful in their explanation.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  This question was well done, with only a few missing the height of the satellite.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  Generally, this question was not well done. Most carried out a calculation based on the formula for escape velocity. An opportunity to remind candidates of reading back the stem for the sub-question when answering a second or any subsequent part of it.\n </p>\n</div>\n",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the initial acceleration of the raindrop.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, by reference to the vertical forces, how the raindrop reaches a constant speed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the energy transferred to the air during the first 3.0 s of motion. State your answer to an appropriate number of significant figures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe the energy change that takes place for\n   <em>\n    t\n   </em>\n   &gt; 3.0 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   g\n  </em>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  9.81 «m s\n  <sup>\n   −2\n  </sup>\n  »\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  acceleration of gravity/due to free fall ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept 10 «\n  </em>\n  m s\n  <sup>\n   −2\n  </sup>\n  <em>\n   ».\n  </em>\n </p>\n <p>\n  <em>\n   Ignore sign.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept bald “gravity”.\n  </em>\n </p>\n <p>\n  <em>\n   Accept answer that indicates tangent of the graph at time t=0.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   g\n  </em>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  9.81 «m s\n  <sup>\n   −2\n  </sup>\n  »\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  acceleration of gravity/due to free fall ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept 10 «\n  </em>\n  m s\n  <sup>\n   −2\n  </sup>\n  <em>\n   ».\n  </em>\n </p>\n <p>\n  <em>\n   Ignore sign.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept bald “gravity”.\n  </em>\n </p>\n <p>\n  <em>\n   Accept answer that indicates tangent of the graph at time t=0.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Identification of air resistance/drag force «acting upwards» ✓\n </p>\n <p>\n  «that» increases with speed ✓\n </p>\n <p>\n  <br/>\n  «until» weight and air resistance cancel out\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  net force/acceleration becomes zero ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   A statement as “air resistance increases with speed” scores\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  «loss in» GPE = 3.4 × 10\n  <sup>\n   −5\n  </sup>\n  × 9.81 × 21 «= 7.0 × 10\n  <sup>\n   −3\n  </sup>\n  » «J»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  «gain in» KE = 0.5 × 3.4 × 10\n  <sup>\n   −5\n  </sup>\n  × 9.0\n  <sup>\n   2\n  </sup>\n  «= 1.4 × 10\n  <sup>\n   −3\n  </sup>\n  » «J» ✓\n </p>\n <p>\n  <br/>\n  energy transferred to air «=7.0 × 10\n  <sup>\n   −3\n  </sup>\n  − 1.4 × 10\n  <sup>\n   −3\n  </sup>\n  » = 5.6 × 10\n  <sup>\n   −3\n  </sup>\n  » «J» ✓\n </p>\n <p>\n </p>\n <p>\n  any calculated answer to 2 sf ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    [1]\n   </strong>\n   through the use of kinematics assuming constant acceleration.\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  «gravitational» potential energy «of the raindrop» into thermal/internal energy «of the air» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept heat for thermal energy.\n  </em>\n </p>\n <p>\n  <em>\n   Accept into kinetic energy of air particles.\n  </em>\n </p>\n <p>\n  <em>\n   Ignore sound energy.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A nice introductory question answered correctly by most candidates. Most answers quoted the data booklet value, with a few 10's or 9.8's, or the answer in words. Very few lost the mark by just stating gravity, or zero.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A nice introductory question answered correctly by most candidates. Most answers quoted the data booklet value, with a few 10's or 9.8's, or the answer in words. Very few lost the mark by just stating gravity, or zero.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  This was very well answered with most candidates scoring 3. The MP usually missed in candidates scoring 2 marks was MP2, to justify the variation of the magnitude of air resistance, although that rarely happened.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  Generally well answered, although several candidates lost a mark, usually as POT (power of ten) by quoting the value in kg leading to an answer of 5.3 J. Most candidates were able to score MP3 by rounding their calculation to two significant figures.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  Of the wrong answers, the most common ones were gravitational potential to kinetic or the idea that because there was no change in velocity there was no energy transfer. A significant number, though, scored by identifying the change into thermal (most of them), kinetic of air particles (a few answers) or internal (very few).\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the minimum area of the solar heating panel required to increase the temperature of all the water in the tank to 30°C during a time of 1.0 hour.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate, in °C, the temperature of the roof tiles.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   way in which a real gas differs from an ideal gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The water is heated. Explain why the quantity of air in the storage tank decreases.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  energy required = 250 × 4200 × (30 − 15) ✓\n </p>\n <p>\n  energy available = 0.30 × 680 ×\n  <em>\n   t\n  </em>\n  ×\n  <em>\n   A\n  </em>\n  ✓\n </p>\n <p>\n  <em>\n   A\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      250\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      4200\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      15\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      30\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      680\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 21 «m\n  <sup>\n   2\n  </sup>\n  »\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  22 «m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Accept the correct use of 0.30 in either\n   <strong>\n    MP1\n   </strong>\n   or\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  absorbed intensity = (1 − 0.2) × 680 «= 544» «W m\n  <sup>\n   −2\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  emitted intensity = 0.97 × 5.67 × 10\n  <sup>\n   −8\n  </sup>\n  × T\n  <sup>\n   4\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   T\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mroot>\n    <mfrac>\n     <mn>\n      544\n     </mn>\n     <mrow>\n      <mn>\n       0\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       97\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       5\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       67\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mrow>\n        <mo>\n         -\n        </mo>\n        <mn>\n         8\n        </mn>\n       </mrow>\n      </msup>\n     </mrow>\n    </mfrac>\n    <mn>\n     4\n    </mn>\n   </mroot>\n   <mo>\n    =\n   </mo>\n   <mn>\n    315\n   </mn>\n  </math>\n  «K» ✓\n </p>\n <p>\n  42 «°C» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    MP1\n   </strong>\n   if absorbed or emitted intensity is multiplied by area.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  can be liquefied ✓\n </p>\n <p>\n  has intermolecular forces / potential energy ✓\n </p>\n <p>\n  has atoms/molecules that are not point objects / take up volume ✓\n </p>\n <p>\n  does not follow the ideal gas law «for all\n  <em>\n   T\n  </em>\n  and\n  <em>\n   p\n  </em>\n  » ✓\n </p>\n <p>\n  collisions between particles are non-elastic ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept the converse argument.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  «constant\n  <em>\n   p\n  </em>\n  and\n  <em>\n   V\n  </em>\n  imply»\n  <em>\n   nT\n  </em>\n  = const ✓\n </p>\n <p>\n  <em>\n   T\n  </em>\n  increases hence\n  <em>\n   n\n  </em>\n  decreases ✓\n </p>\n <p>\n  <br/>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  «constant\n  <em>\n   p\n  </em>\n  and\n  <em>\n   n\n  </em>\n  imply»\n  <em>\n   V\n  </em>\n  is proportional to\n  <em>\n   T\n  </em>\n  / air expands as it is heated ✓\n </p>\n <p>\n  «original» air occupies a greater volume\n  <strong>\n   OR\n  </strong>\n  some air leaves through opening ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    MP2\n   </strong>\n   in\n   <strong>\n    ALT 2\n   </strong>\n   must come from expansion of air, not from expansion of water.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [0]\n   </strong>\n   for an answer based on expansion of water.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   <strong>\n    max\n   </strong>\n   for an answer based on convection currents.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Most candidates had a good attempt at this but there were often slight slips. Some missed the efficiency of the process. Some included the albedo of the roof tiles. Some thought that the temperature rise needed to have 273 added to convert to kelvin. However, sometimes scoring through ECF (error carried forward), the average mark was around 2 marks.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  This was a bit more hit and miss than the previous question part. One common mistake was not understanding what albedo meant. Some took it as the amount of energy absorbed rather than reflected. Emissivity was often missed. Several candidates, successfully answering the question or not, were able to score MP3 converting the final temperature into Celsius degrees.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  This was very well answered. Candidates showed an understanding of the differences between ideal and real gases.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  It was surprising to see a large number of answers based on the expansion of water, as the stem of the question clearly states that the level of water remains constant. Most successful candidates scored by quoting\n  <em>\n   pV\n  </em>\n  constant so concluding with the inverse relationship of n and\n  <em>\n   T\n  </em>\n  , others also managed to score by explaining that the volume of air increases and therefore must go out through the opening. Answers based on convection currents were given partial credit.\n </p>\n</div>\n",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "b-2-greenhouse-effect",
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw, on the axes, a graph to show the variation with\n   <em>\n    t\n   </em>\n   of the displacement of particle Q.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the speed of waves on the string.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the fundamental SI unit for\n   <em>\n    a\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The tension force on the string is doubled. Describe the effect, if any, of this change on the frequency of the standing wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The standing wave on the string creates a travelling sound wave in the surrounding air.\n  </p>\n  <p>\n   Outline\n   <strong>\n    two\n   </strong>\n   differences between a standing wave and a travelling wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline\n   <strong>\n    one\n   </strong>\n   difference between a standing wave and a travelling wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The speed of sound in air is 340 m s\n   <sup>\n    −1\n   </sup>\n   and in water it is 1500 m s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n  <p>\n   Discuss whether the sound wave can enter the water.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  oscillation in antiphase ✓\n </p>\n <p>\n  smaller amplitude than P ✓\n </p>\n <p>\n  <br/>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  oscillation in antiphase ✓\n </p>\n <p>\n  smaller amplitude than P ✓\n </p>\n <p>\n  <br/>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  wavelength\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     2\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    80\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    53\n   </mn>\n  </math>\n  «m» ✓\n </p>\n <p>\n  speed\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      53\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      8\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    190\n   </mn>\n  </math>\n  «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from incorrect wavelength.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  kg m s\n  <sup>\n   −2\n  </sup>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  m\n  <sup>\n   2\n  </sup>\n  s\n  <sup>\n   −2\n  </sup>\n  seen ✓\n </p>\n <p>\n  kg m\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  speed increases hence frequency increases ✓\n </p>\n <p>\n  by factor\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mn>\n     2\n    </mn>\n   </msqrt>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  travelling waves transfer energy\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  standing waves don’t ✓\n </p>\n <p>\n  amplitude of oscillation varies along a standing wave\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  is constant along a travelling wave ✓\n </p>\n <p>\n  standing waves have nodes and antinodes\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  travelling waves don’t ✓\n </p>\n <p>\n  points in an internodal region have same phase in standing waves\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  different phase in travelling waves ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  travelling waves transfer energy\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  standing waves don’t ✓\n </p>\n <p>\n  amplitude of oscillation varies along a standing wave\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  is constant along a travelling wave ✓\n </p>\n <p>\n  standing waves have nodes / antinodes\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  travelling waves don’t ✓\n </p>\n <p>\n  points in an internodal region have same phase in standing waves\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  different phase in travelling waves ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  critical angle\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    13\n   </mn>\n   <mo>\n    °\n   </mo>\n  </math>\n  «from\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     θ\n    </mi>\n    <mi>\n     c\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     340\n    </mn>\n    <mn>\n     1500\n    </mn>\n   </mfrac>\n  </math>\n  » ✓\n </p>\n <p>\n  the angle of incidence is greater than\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     θ\n    </mi>\n    <mi>\n     c\n    </mi>\n   </msub>\n  </math>\n  hence the sound can’t enter water ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     θ\n    </mi>\n    <mi>\n     r\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1500\n    </mn>\n    <mn>\n     340\n    </mn>\n   </mfrac>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    30\n   </mn>\n   <mo>\n    °\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n  sine value greater than one hence the sound can’t enter water ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Conclusion must be justified, award\n   <strong>\n    [0]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Although there were good answers which scored full marks, there were a significant number of wrong answers where the amplitude was the same or not consistent throughout, or the wave drawn was not in antiphase of the original sketch.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Although there were good answers which scored full marks, there were a significant number of wrong answers where the amplitude was the same or not consistent throughout, or the wave drawn was not in antiphase of the original sketch.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a.ii)\n </div><div class=\"card-body\">\n <p>\n  This was well answered, particularly MP1 to determine the wavelength, although several candidates misinterpreted the unit of time and obtained a very small value for the velocity of the wave.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  Students seem to be well prepared for this sort of question, as it was high-scoring.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  This question was answered well, although the numerical aspect was often missing. It is worth highlighting that if there is a term like\n  <em>\n   '\n  </em>\n  doubled\n  <em>\n   '\n  </em>\n  in the question, it makes sense to expect a numerical answer.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  This question was answered well. Students showed to be familiar with the differences between standing and travelling waves. In SL they had to identify two differences, so that proved to be more challenging.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  This question was answered well. Students showed to be familiar with the differences between standing and travelling waves.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  Surprisingly well answered as it was sound from air to water, rather than light from air to glass. A mixture of approaches but probably the most common was to calculate a sine value of over 1. Some went about calculating the critical angle but nowhere near as many.\n </p>\n</div>\n",
+    "topics": [
+      "c-wave-behaviour",
+      "tools"
+    ],
+    "subtopics": [
+      "c-2-wave-model",
+      "c-3-wave-phenomena",
+      "c-4-standing-waves-and-resonance",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The scale diagram shows the weight\n   <em>\n    W\n   </em>\n   of the mass at an instant when the rod is horizontal.\n  </p>\n  <p>\n   Draw, on the scale diagram, an arrow to represent the force exerted on the mass by the rod.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the magnitude of the force exerted on the mass by the rod is not constant.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  horizontal component of any length to the left ✓\n </p>\n <p>\n  vertical component two squares long upwards ✓\n </p>\n <p>\n  E.g.\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Ignore point of application.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   <strong>\n    max\n   </strong>\n   if arrowhead not present.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  horizontal component of any length to the left ✓\n </p>\n <p>\n  vertical component two squares long upwards ✓\n </p>\n <p>\n  E.g.\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Ignore point of application.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   <strong>\n    max\n   </strong>\n   if arrowhead not present.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  the net/centripetal force has constant magnitude ✓\n </p>\n <p>\n  the direction of the net/centripetal force constantly changes ✓\n </p>\n <p>\n  this is achieved by vector-adding weight and the force from the rod\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  the force from the rod is vector difference of the centripetal force and weight ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  at the top F\n  <sub>\n   rod\n  </sub>\n  = F\n  <sub>\n   c\n  </sub>\n  − W ✓\n </p>\n <p>\n  at the bottom, F\n  <sub>\n   rod\n  </sub>\n  = F\n  <sub>\n   c\n  </sub>\n  + W ✓\n </p>\n <p>\n  net F/F\n  <sub>\n   c\n  </sub>\n  is constant so the force from the rod is different «hence is changing» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept reference to centripetal or net force indistinctly.\n  </em>\n </p>\n <p>\n  <em>\n   Allow reference to centripetal acceleration.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most just added the horizontal component. Not many centrifugal forces, but still a few. Very few were able to score both marks, so this question proved to be challenging for the candidates.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Most just added the horizontal component. Not many centrifugal forces, but still a few. Very few were able to score both marks, so this question proved to be challenging for the candidates.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Many got into a bit of a mess with this one and it was quite difficult to interpret some of the answers. If they started out with the net/centripetal force being constant, then it was often easy to follow the reasoning. Starting with force on the rod varying often led to confusion. Quite a few did not pick up on the constant speed vertical circle so there were complicated energy/speed arguments to pick through.\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion",
+      "tools"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by an ideal voltmeter.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the internal resistance of the cell is about 0.7 Ω.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the internal resistance of the cell is about 0.7 Ω.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the emf of the cell.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, by reference to charge carriers in the wire, how the magnetic force on the wire arises.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify the direction of the magnetic force on the wire.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  infinite resistance\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  no current is flowing through it ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  current\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      47\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      50\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    94\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «A» ✓\n </p>\n <p>\n  <em>\n   r\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      49\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      94\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    -\n   </mo>\n   <mn>\n    50\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    68\n   </mn>\n  </math>\n  «Ω» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , allow any other correctly substituted expression for r.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  29.4 (50.0 +\n  <em>\n   r\n  </em>\n  ) = 139 (10.0 +\n  <em>\n   r\n  </em>\n  ) ✓\n </p>\n <p>\n  <br/>\n  attempt to solve for\n  <em>\n   r\n  </em>\n  , e.g. 29.4 × 50.0 − 139 × 10.0 =\n  <em>\n   r\n  </em>\n  (139 − 29.4)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  0.73 «Ω» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow working backwards from 0.7 Ω.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  139 × 10\n  <sup>\n   −3\n  </sup>\n  (10.0 + 0.73)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  29.4 × 10\n  <sup>\n   −3\n  </sup>\n  (50.0 + 0.73)  ✓\n </p>\n <p>\n  <br/>\n  1.49 «V» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Watch for\n   <strong>\n    ECF\n   </strong>\n   from 5(b)(i).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  charge/carriers are moving in a magnetic field ✓\n </p>\n <p>\n </p>\n <p>\n  there is a magnetic force on them / quote\n  <em>\n   F = qvB\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  this creates a magnetic field that interacts with the external magnetic field ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept electrons.\n  </em>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , the force must be identified as acting on charge / carriers.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  into the plane «of the paper» ✓\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  A majority of candidates scored a mark by simply stating infinite resistance. Several answers went the other way round, stating a resistance of zero.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  Many answers here produced a number that did not round to 0.7 but students claimed it did. The simultaneous equation approach was seen in the best candidates, getting the right answer. It is worthy of reminding about the need of showing one more decimal place when calculating a show that value type of question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  Many answers here produced a number that did not round to 0.7 but students claimed it did. The simultaneous equation approach was seen in the best candidates, getting the right answer. It is worthy of reminding about the need of showing one more decimal place when calculating a show that value type of question.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  Usually well answered, regardless of b(ii), by utilising the show that value given.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.i)\n </div><div class=\"card-body\">\n <p>\n  Many scored MP1 here but did not get MP2 as they jumped straight to the wire rather than continuing with the explanation of what was going on with the charge carriers.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c.ii)\n </div><div class=\"card-body\">\n <p>\n  Generally, a well answered question although there was some confusion on how to communicate it, with some contradictory answers indicating into or out, and also North or South at the same time.\n </p>\n</div>\n",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "22N.2.SL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, by reference to nuclear binding energy, why the mass of a nucleus is less than the sum of the masses of its constituent nucleons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in MeV, the energy released in this decay.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The polonium nucleus was stationary before the decay.\n  </p>\n  <p>\n   Show, by reference to the momentum of the particles, that the kinetic energy of the alpha particle is much greater than the kinetic energy of the lead nucleus.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b.iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In the decay of polonium-210, alpha emission can be followed by the emission of a gamma photon.\n  </p>\n  <p>\n   State and explain whether the alpha particle or gamma photon will cause greater ionization in the surrounding material.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  according to Δ\n  <em>\n   E\n  </em>\n  = Δ\n  <em>\n   mc\n  </em>\n  <sup>\n   2\n  </sup>\n  / identifies mass energy equivalence ✓\n </p>\n <p>\n </p>\n <p>\n  energy is released when nucleons come together / a nucleus is formed «so nucleus has less mass than individual nucleons»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  energy is required to «completely» separate the nucleons / break apart a nucleus «so individual nucleons have more mass than nucleus» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept protons and neutrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  according to Δ\n  <em>\n   E\n  </em>\n  = Δ\n  <em>\n   mc\n  </em>\n  <sup>\n   2\n  </sup>\n  / identifies mass energy equivalence ✓\n </p>\n <p>\n </p>\n <p>\n  energy is released when nucleons come together / a nucleus is formed «so nucleus has less mass than individual nucleons»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  energy is required to «completely» separate the nucleons / break apart a nucleus «so individual nucleons have more mass than nucleus» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept protons and neutrons.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  (\n  <em>\n   m\n  </em>\n  <sub>\n   polonium\n  </sub>\n  −\n  <em>\n   m\n  </em>\n  <sub>\n   lead\n  </sub>\n  −\n  <em>\n   m\n   <sub>\n    α\n   </sub>\n  </em>\n  )\n  <em>\n   c\n  </em>\n  <sup>\n   2\n  </sup>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  (209.93676 − 205.92945 − 4.00151)\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  mass difference = 5.8 × 10\n  <sup>\n   −3\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  conversion to MeV using 931.5 to give 5.4 «MeV» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [1]\n   </strong>\n   for 8.6 x 10\n   <sup>\n    −13\n   </sup>\n   J.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  energy ratio expressed in terms of momentum, e.g.\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <msubsup>\n      <mi>\n       p\n      </mi>\n      <mi>\n       α\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <mo>\n      /\n     </mo>\n     <mn>\n      2\n     </mn>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mi>\n       α\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <msubsup>\n      <mi>\n       p\n      </mi>\n      <mtext>\n       lead\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <mo>\n      /\n     </mo>\n     <mn>\n      2\n     </mn>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mtext>\n       lead\n      </mtext>\n     </msub>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi>\n     α\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  hence\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mtext>\n      lead\n     </mtext>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi>\n      α\n     </mi>\n    </msub>\n   </mfrac>\n   <mo>\n    ≃\n   </mo>\n   <mfrac>\n    <mn>\n     206\n    </mn>\n    <mn>\n     4\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    51\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ⇒\n   </mo>\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mi>\n     α\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    51\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     m\n    </mtext>\n    <mtext>\n     lead\n    </mtext>\n   </msub>\n  </math>\n  «much» greater than\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mtext>\n     m\n    </mtext>\n    <mtext>\n     alpha\n    </mtext>\n   </msub>\n  </math>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  alpha particle and lead particle have equal and opposite momenta ✓\n </p>\n <p>\n  so their velocities are inversely proportional to mass ✓\n </p>\n <p>\n  but KE ∝\n  <em>\n   v\n  </em>\n  <sup>\n   2\n  </sup>\n  «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    α\n   </mtext>\n  </math>\n  has a much greater KE» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  alpha particle ✓\n </p>\n <p>\n  is electrically charged hence more likely to interact with electrons «in the surrounding material» ✓\n </p>\n</div>\n",
+    "Examiners report": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Still several answers that thought that the nucleus needed to gain energy to bind it together. Most candidates scored at least one for recognising some form of mass/energy equivalence, although few candidates managed to consistently express their ideas here.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Still several answers that thought that the nucleus needed to gain energy to bind it together. Most candidates scored at least one for recognising some form of mass/energy equivalence, although few candidates managed to consistently express their ideas here.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.i)\n </div><div class=\"card-body\">\n <p>\n  Generally, well answered. There were quite a few who fell into the trap of multiplying by an unnecessary c\n  <sup>\n   2\n  </sup>\n  as they were not sure of the significance of the unit of u.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.ii)\n </div><div class=\"card-body\">\n <p>\n  Those who answered using the mass often did not get MP3 whereas those who converted to the number of particles or moles before the first calculation did, although that could be considered an unnecessary complication.\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b.iii)\n </div><div class=\"card-body\">\n <p>\n  Many did not interpret the stem correctly and failed to compare the ionisation of alpha particles versus gamma rays.\n </p>\n</div>\n",
+    "topics": [
+      "a--space-time-and-motion",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A transverse water wave travels to the right. The diagram shows the shape of the surface of the water at time\n   <em>\n    t\n   </em>\n   = 0. P and Q show two corks floating on the surface.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by a transverse wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The frequency of the wave is 0.50 Hz. Calculate the speed of the wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch on the diagram the position of P at time\n   <em>\n    t\n   </em>\n   = 0.50 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the phase difference between the oscillations of the two corks is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     π\n    </mi>\n   </math>\n   radians.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Monochromatic light is incident on two very narrow slits. The light that passes through the slits is observed on a screen. M is directly opposite the midpoint of the slits.\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   represents the displacement from M in the direction shown.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p style=\"text-align:left;\">\n   A student argues that what will be observed on the screen will be a total of two bright spots opposite the slits. Explain why the student’s argument is incorrect.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The graph shows the actual variation with displacement\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   from M of the intensity of the light on the screen.\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      I\n     </mi>\n     <mn>\n      0\n     </mn>\n    </msub>\n   </math>\n   is the intensity of light at the screen from one slit only.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the intensity of light at\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = 0 is 4\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      I\n     </mi>\n     <mn>\n      0\n     </mn>\n    </msub>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The slits are separated by a distance of 0.18 mm and the distance to the screen is 2.2 m. Determine, in m, the wavelength of light.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The two slits are replaced by many slits of the same separation. State\n   <strong>\n    one\n   </strong>\n   feature of the intensity pattern that will remain the same and\n   <strong>\n    one\n   </strong>\n   that will change.\n  </p>\n  <p>\n   Stays the same:\n  </p>\n  <p>\n  </p>\n  <p>\n   Changes:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «A wave where the» displacement of particles/oscillations of particles/movement of particles/vibrations of particles is perpendicular/normal to the direction of energy transfer/wave travel/wave velocity/wave movement/wave propagation ✓\n </p>\n <p>\n  <em>\n   Allow medium, material, water, molecules, or atoms for particles.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «A wave where the» displacement of particles/oscillations of particles/movement of particles/vibrations of particles is perpendicular/normal to the direction of energy transfer/wave travel/wave velocity/wave movement/wave propagation ✓\n </p>\n <p>\n  <em>\n   Allow medium, material, water, molecules, or atoms for particles.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   v\n  </em>\n  = «0.50 × 16 =» 8.0 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  P at (8, 1.2) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n  <br/>\n  Phase difference is\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi>\n      π\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n  </math>\n  ×\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     λ\n    </mi>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  ✓\n  <br/>\n  «=\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    π\n   </mi>\n  </math>\n  » ✓\n </p>\n <p>\n  <strong>\n   ALTERNATIVE 2\n  </strong>\n </p>\n <p>\n  One wavelength/period represents «phase difference» of 2\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    π\n   </mi>\n  </math>\n  and «corks» are ½ wavelength/period apart so phase difference is\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    π\n   </mi>\n  </math>\n  /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  light acts as a wave «and not a particle in this situation» ✓\n </p>\n <p>\n  light at slits will diffract / create a diffraction pattern ✓\n </p>\n <p>\n  light passing through slits will interfere / create an interference pattern «creating bright and dark spots» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The amplitude «at\n  <em>\n   x\n  </em>\n  = 0» will be doubled ✓\n </p>\n <p>\n  intensity is proportional to amplitude squared /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  ∝\n  <em>\n   A\n  </em>\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  The amplitude «at\n  <em>\n   x\n  </em>\n  = 0» will be doubled ✓\n </p>\n <p>\n  intensity is proportional to amplitude squared /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  ∝\n  <em>\n   A\n  </em>\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      λ\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n    <mi>\n     d\n    </mi>\n   </mfrac>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    λ\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      s\n     </mi>\n     <mi>\n      d\n     </mi>\n    </mrow>\n    <mi>\n     D\n    </mi>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      λ\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n    <mi>\n     d\n    </mi>\n   </mfrac>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    λ\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      s\n     </mi>\n     <mi>\n      d\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n  </math>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      567\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      18\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  =» 4.6 × 10\n  <sup>\n   −7\n  </sup>\n  «m» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  Stays the same: Position/location of maxima/distance/separation between maxima «will be the same» /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n  Changes: Intensity/brightness/width/sharpness «of maxima will change»/\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n  <em>\n   Allow other phrasing for maxima (fringes, spots, etc).\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Identify with ticks [✓] in the table, the forces that can act on electrons and the forces that can act on quarks.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the energy released is about 18 MeV.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <strong>\n    two\n   </strong>\n   difficulties of energy production by nuclear fusion.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <strong>\n    one\n   </strong>\n   advantage of energy production by nuclear fusion compared to nuclear fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the nucleon number of the He isotope that\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi mathvariant=\"normal\">\n      H\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      1\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mmultiscripts>\n   </math>\n   decays into.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the fraction of tritium remaining after one year.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Weak nuclear: 2 ticks ✓\n  <br/>\n  Strong nuclear: quarks only ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «𝜇» = 2.0141 + 3.0160 − (4.0026 + 1.008665) «= 0.0188 u»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   In\n  </em>\n  MeV: 1876.13415 + 2809.404 − (3728.4219 + 939.5714475) ✓\n </p>\n <p>\n  = 0.0188 × 931.5\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  = 17.512 «MeV» ✓\n </p>\n <p>\n  <em>\n   Must see either clear substitutions or answer to at least 3 s.f. for\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Requires high temp/pressure ✓\n  <br/>\n  Must overcome Coulomb/intermolecular repulsion ✓\n  <br/>\n  Difficult to contain / control «at high temp/pressure» ✓\n  <br/>\n  Difficult to produce excess energy/often energy input greater than output /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n  <br/>\n  Difficult to capture energy from fusion reactions ✓\n  <br/>\n  Difficult to maintain/sustain a constant reaction rate ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Plentiful fuel supplies\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  larger specific energy\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  larger energy density\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  little or no «major radioactive» waste products ✓\n </p>\n <p>\n  <em>\n   Allow descriptions such as “more energy per unit mass” or “more energy per unit volume”\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  3 ✓\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi>\n      H\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn mathvariant=\"italic\">\n      2\n     </mn>\n     <mn mathvariant=\"italic\">\n      3\n     </mn>\n    </mmultiscripts>\n    <mi>\n     e\n    </mi>\n   </math>\n   by itself.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n  </math>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      ln\n     </mi>\n     <mo>\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      12\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  »0.056«y\n  <sup>\n   −1\n  </sup>\n  »\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <msup>\n    <mn>\n     5\n    </mn>\n    <mstyle displaystyle=\"false\">\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        12\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </mfrac>\n    </mstyle>\n   </msup>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     e\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mfrac>\n      <mrow>\n       <mi>\n        ln\n       </mi>\n       <mo>\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        12\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </mfrac>\n    </mrow>\n   </msup>\n  </math>\n </p>\n <p>\n  0.945\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  94.5% ✓\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-3-radioactive-decay",
+      "e-4-fission",
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The centres of two identical fixed conducting spheres each of charge +\n   <em>\n    Q\n   </em>\n   are separated by a distance\n   <em>\n    D\n   </em>\n   . C is the midpoint of the line joining the centres of the spheres.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch, on the axes, how the electric potential V due to the two charges varies with the distance r from the centre of the left charge. No numbers are required. Your graph should extend from r = 0 to r = D.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the work done to bring a small charge\n   <em>\n    q\n   </em>\n   from infinity to point C.\n  </p>\n  <p>\n   Data given:\n  </p>\n  <p>\n   <em>\n    Q\n   </em>\n   = 2.0 × 10\n   <sup>\n    −3\n   </sup>\n   C,\n  </p>\n  <p>\n   <em>\n    q\n   </em>\n   = 4.0 × 10\n   <sup>\n    −9\n   </sup>\n   C\n  </p>\n  <p>\n   <em>\n    D\n   </em>\n   = 1.2 m\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The magnitude of the net force on\n   <em>\n    q\n   </em>\n   is given by\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <mn>\n       32\n      </mn>\n      <mi>\n       k\n      </mi>\n      <mi>\n       Q\n      </mi>\n      <mi>\n       q\n      </mi>\n     </mrow>\n     <msup>\n      <mi>\n       D\n      </mi>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mfrac>\n    <mi>\n     x\n    </mi>\n   </math>\n   . Explain why the charge\n   <em>\n    q\n   </em>\n   will execute simple harmonic oscillations about C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The mass of the charge\n   <em>\n    q\n   </em>\n   is 0.025 kg.\n  </p>\n  <p>\n   Calculate the angular frequency of the oscillations using the data in (a)(ii) and the expression in (b)(i).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The charges\n   <em>\n    Q\n   </em>\n   are replaced by neutral masses\n   <em>\n    M\n   </em>\n   and the charge\n   <em>\n    q\n   </em>\n   by a neutral mass\n   <em>\n    m\n   </em>\n   . The mass\n   <em>\n    m\n   </em>\n   is displaced away from C by a small distance\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   and released. Discuss whether the motion of\n   <em>\n    m\n   </em>\n   will be the same as that of\n   <em>\n    q\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Constant, non-zero within spheres ✓\n </p>\n <p>\n  A clear, non-zero positive minimum at C ✓\n </p>\n <p>\n  Symmetric bowl shaped up curved shape in between ✓\n </p>\n <p>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow a bowl shaped down curve for\n   <strong>\n    MP3\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Constant, non-zero within spheres ✓\n </p>\n <p>\n  A clear, non-zero positive minimum at C ✓\n </p>\n <p>\n  Symmetric bowl shaped up curved shape in between ✓\n </p>\n <p>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow a bowl shaped down curve for\n   <strong>\n    MP3\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   V\n  </em>\n  «= 2 ×\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      8\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      99\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       9\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      60\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  » = 6.0 × 10\n  <sup>\n   7\n  </sup>\n  «V» ✓\n </p>\n <p>\n  <em>\n   W\n  </em>\n  = «qV = 6.0 × 10\n  <sup>\n   7\n  </sup>\n  × 4.0 × 10\n  <sup>\n   −9\n  </sup>\n  =» 0.24 «J» ✓\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  The restoring force/acceleration is opposite to the displacement/towards equilibrium /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n  and proportional to displacement from equilibrium /\n  <em>\n   <strong>\n    OWTTE✓\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Allow discussions based on the diagram (such as towards C for towards equilibrium).\n  </em>\n </p>\n <p>\n  <em>\n   Accept F ∝ x\n   <strong>\n    OR\n   </strong>\n   a ∝ x for\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   ω\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       32\n      </mn>\n      <mi>\n       k\n      </mi>\n      <mi>\n       Q\n      </mi>\n      <mi>\n       q\n      </mi>\n     </mrow>\n     <mrow>\n      <mi>\n       m\n      </mi>\n      <msup>\n       <mi>\n        D\n       </mi>\n       <mn>\n        3\n       </mn>\n      </msup>\n     </mrow>\n    </mfrac>\n   </msqrt>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  use of\n  <em>\n   F\n  </em>\n  =\n  <em>\n   mω\n  </em>\n  <sup>\n   2\n  </sup>\n  <em>\n   r\n   <strong>\n    OR\n   </strong>\n   F\n  </em>\n  = 1.33\n  <em>\n   x\n  </em>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   a\n  </em>\n  = 53.3\n  <em>\n   x\n  </em>\n  ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       32\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       8\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       99\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mn>\n        9\n       </mn>\n      </msup>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       2\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       0\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mrow>\n        <mo>\n         -\n        </mo>\n        <mn>\n         3\n        </mn>\n       </mrow>\n      </msup>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       4\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       0\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mrow>\n        <mo>\n         -\n        </mo>\n        <mn>\n         9\n        </mn>\n       </mrow>\n      </msup>\n     </mrow>\n     <mrow>\n      <mn>\n       0\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       025\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       1\n      </mn>\n      <mo>\n       .\n      </mo>\n      <msup>\n       <mn>\n        2\n       </mn>\n       <mn>\n        3\n       </mn>\n      </msup>\n     </mrow>\n    </mfrac>\n   </msqrt>\n  </math>\n  » = 7.299 «s\n  <sup>\n   −1\n  </sup>\n  »\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  the net force will no longer be a restoring force/directed towards equilibrium\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  the gravitational force is attractive/neutral mass would be pulled towards larger masses/\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n  «and so» no, motion will not be the same/no longer be SHM /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "c-wave-behaviour",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "c-1-simple-harmonic-motion",
+      "d-1-gravitational-fields",
+      "d-2-electric-and-magnetic-fields"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain, by reference to Faraday’s law of electromagnetic induction, why there is an electromotive force (emf) induced in the loop as it leaves the region of magnetic field.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Just before the loop is about to completely exit the region of magnetic field, the loop moves with constant terminal speed\n   <em>\n    v\n   </em>\n   .\n  </p>\n  <p>\n   The following data is available:\n  </p>\n  <table border=\"1\" cellpadding=\"4\" cellspacing=\"0\" style=\"height:114px;border-color:#000000;width:273px;\">\n   <tbody>\n    <tr>\n     <td style=\"width:153.533px;\">\n      Mass of loop\n     </td>\n     <td style=\"width:95.4667px;text-align:center;\">\n      <em>\n       m\n      </em>\n      = 4.0 g\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:153.533px;\">\n      Resistance of loop\n     </td>\n     <td style=\"width:95.4667px;text-align:center;\">\n      <em>\n       R\n      </em>\n      = 25 mΩ\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:153.533px;\">\n      Width of loop\n     </td>\n     <td style=\"width:95.4667px;text-align:center;\">\n      <em>\n       L\n      </em>\n      = 15 cm\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:153.533px;\">\n      Magnetic flux density\n     </td>\n     <td style=\"width:95.4667px;text-align:center;\">\n      <em>\n       B\n      </em>\n      = 0.80 T\n     </td>\n    </tr>\n   </tbody>\n  </table>\n  <p>\n   Determine, in m s\n   <sup>\n    −1\n   </sup>\n   the terminal speed\n   <em>\n    v\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The induced emf is equal/proportional/related to the «rate of» change of «magnetic» flux/flux linkage ✓\n </p>\n <p>\n  Flux is changing because the area pierced/enclosed by magnetic field lines changes «decreases»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Flux is changing because the loop is leaving/moving out of the «magnetic» field. ✓\n </p>\n <p>\n  <em>\n   Need to see a connection between the EMF and change in flux for\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Need to see a connection between the area changing or leaving the field and the change in flux for\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The induced emf is equal/proportional/related to the «rate of» change of «magnetic» flux/flux linkage ✓\n </p>\n <p>\n  Flux is changing because the area pierced/enclosed by magnetic field lines changes «decreases»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Flux is changing because the loop is leaving/moving out of the «magnetic» field. ✓\n </p>\n <p>\n  <em>\n   Need to see a connection between the EMF and change in flux for\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Need to see a connection between the area changing or leaving the field and the change in flux for\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   mg\n  </em>\n  =\n  <em>\n   BIL\n  </em>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  I = 0.33 «A» ✓\n </p>\n <p>\n  <em>\n   BvL\n  </em>\n  =\n  <em>\n   IR\n   <strong>\n    OR\n   </strong>\n  </em>\n  ℰ = 8.25 × 10\n  <sup>\n   −3\n  </sup>\n  «V»\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  ℰ = 0.12\n  <em>\n   v\n  </em>\n  ✓\n </p>\n <p>\n  Combining results to get v =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      m\n     </mi>\n     <mi>\n      g\n     </mi>\n     <mi>\n      R\n     </mi>\n    </mrow>\n    <mrow>\n     <msup>\n      <mi>\n       B\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <msup>\n      <mi>\n       L\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   v\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      040\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      81\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      025\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       80\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       15\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  =» 0.068 «m s\n  <sup>\n   −1\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   between steps if clear work is shown.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "d-3-motion-in-electromagnetic-fields",
+      "d-4-induction"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Photons of wavelength 468 nm are incident on a metallic surface. The maximum kinetic energy of the emitted electrons is 1.8 eV.\n  </p>\n  <p>\n   Calculate\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the work function of the surface, in eV.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the longest wavelength of a photon that will eject an electron from this surface.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In an experiment, alpha particles of initial kinetic energy 5.9 MeV are directed at stationary nuclei of lead (\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi>\n      Pb\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      82\n     </mn>\n     <mn>\n      207\n     </mn>\n    </mmultiscripts>\n   </math>\n   ). Show that the distance of closest approach is about 4 × 10\n   <sup>\n    −14\n   </sup>\n   m.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The radius of a nucleus of\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi>\n      Pb\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      82\n     </mn>\n     <mn>\n      207\n     </mn>\n    </mmultiscripts>\n   </math>\n   is 7.1 × 10\n   <sup>\n    −15\n   </sup>\n   m. Explain why there will be no deviations from Rutherford scattering in the experiment in (b)(i).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    -\n   </mo>\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    -\n   </mo>\n  </math>\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n  </math>\n  −\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        63\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          34\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        3\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         8\n        </mn>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        468\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          9\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        6\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          19\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n   </mfrac>\n  </math>\n  − 1.81» = 0.85625\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ≈\n   </mo>\n  </math>\n  0.86 «eV» ✓\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    -\n   </mo>\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    -\n   </mo>\n  </math>\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n  </math>\n  −\n  <em>\n   E\n  </em>\n  <sub>\n   max\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        63\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          34\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        3\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         8\n        </mn>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        468\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          9\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        6\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          19\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n   </mfrac>\n  </math>\n  − 1.81» = 0.85625\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ≈\n   </mo>\n  </math>\n  0.86 «eV» ✓\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mi>\n    ϕ\n   </mi>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      h\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mi>\n     ϕ\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        63\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          34\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        3\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         8\n        </mn>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n    <mrow>\n     <mfenced>\n      <mrow>\n       <mn>\n        468\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          9\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mfenced>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        6\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          19\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n    </mrow>\n   </mfrac>\n  </math>\n  =» 1.45 × 10\n  <sup>\n   −6\n  </sup>\n  «m»✓\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    a(i)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  2e\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  82e seen\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  3.2 × 10\n  <sup>\n   −19\n  </sup>\n  «C»\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  1.312 × 10\n  <sup>\n   −17\n  </sup>\n  «C» seen ✓\n </p>\n <p>\n  <em>\n   d\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      8\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      99\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       9\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mo>\n      (\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mi>\n      e\n     </mi>\n     <mo>\n      )\n     </mo>\n     <mo>\n      (\n     </mo>\n     <mn>\n      82\n     </mn>\n     <mi>\n      e\n     </mi>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      e\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  = 3.998 × 10\n  <sup>\n   −14\n  </sup>\n  ≈ 4 × 10\n  <sup>\n   −14\n  </sup>\n  «m» ✓\n </p>\n <p>\n  <em>\n   Must see either clear substitutions or answer to at least 4 s.f. for\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The closest approach is «significantly» larger than the radius of the nucleus / far away from the nucleus/\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  . ✓\n </p>\n <p>\n  «Therefore» the strong nuclear force will not act on the alpha particle.✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-1-structure-of-the-atom",
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the value of the maximum distance between the stars that can be measured in any reference frame.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the speed of shuttle S relative to observer P using Galilean relativity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the distance between star A and star B relative to observer P.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the speed of shuttle S relative to observer P is approximately 0.6\n   <em>\n    c\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the time, according to observer P, that the shuttle S takes to travel from star A to star B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the reference frame in which the proper time for shuttle S to journey from star A to star B can be measured.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  4.8 «light years» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  «−» 0.48\n  <em>\n   c\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Ignore sign\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    y\n   </mi>\n  </math>\n  = 1.6 ✓\n </p>\n <p>\n  <em>\n   D\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      8\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 3 «ly» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mo>\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      3\n     </mn>\n     <mi>\n      c\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      78\n     </mn>\n     <mi>\n      c\n     </mi>\n    </mrow>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mstyle displaystyle=\"true\">\n      <mfrac>\n       <mrow>\n        <mn>\n         0\n        </mn>\n        <mo>\n         .\n        </mo>\n        <mn>\n         78\n        </mn>\n        <mi>\n         c\n        </mi>\n        <mo>\n         ×\n        </mo>\n        <mn>\n         0\n        </mn>\n        <mo>\n         .\n        </mo>\n        <mn>\n         3\n        </mn>\n        <mi>\n         c\n        </mi>\n       </mrow>\n       <msup>\n        <mi>\n         c\n        </mi>\n        <mn>\n         2\n        </mn>\n       </msup>\n      </mfrac>\n     </mstyle>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  «−» 0.63\n  <em>\n   c\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   if\n   <strong>\n    MP1\n   </strong>\n   correct and correct answer given to 1 significant figure.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <msub>\n    <mi>\n     t\n    </mi>\n    <mi mathvariant=\"normal\">\n     p\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n     </mo>\n     <mi>\n      ly\n     </mi>\n    </mrow>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      78\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      627\n     </mn>\n     <mo>\n      )\n     </mo>\n     <mi>\n      c\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <msub>\n    <mi>\n     t\n    </mi>\n    <mi mathvariant=\"normal\">\n     p\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        8\n       </mn>\n       <mo>\n       </mo>\n       <mi>\n        ly\n       </mi>\n      </mrow>\n      <mrow>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        3\n       </mn>\n       <mi>\n        c\n       </mi>\n      </mrow>\n     </mfrac>\n     <mo>\n      -\n     </mo>\n     <mfrac>\n      <mrow>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        78\n       </mn>\n       <mi>\n        c\n       </mi>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        8\n       </mn>\n       <mo>\n       </mo>\n       <mi>\n        ly\n       </mi>\n      </mrow>\n      <msup>\n       <mi>\n        c\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msup>\n     </mfrac>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  = 19\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  20 «years» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  shuttle measures proper time ✓\n </p>\n <p style=\"text-align:justify;\">\n  as the events occur at the same place for the shuttle / shuttle is at both events ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline what is meant by an isotope.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the speed of the spaceship relative to Earth.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate, using the spacetime diagram, the time in seconds when the flash of light reaches the spaceship according to the Earth observer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the time coordinate\n   <em>\n    ct′\n   </em>\n   when the flash of light reaches the spaceship, according to an observer at rest in the spaceship.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «An atom with» the same number of protons\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  different numbers of neutrons\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  Same chemical properties\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  different physical properties ✓\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow just atomic number and mass number\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.6 c\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  = 1.8 × 10\n  <sup>\n   8\n  </sup>\n  «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Line drawn at 45° from\n  <em>\n   ct\n  </em>\n  = 2 km to hit spaceship world line at\n  <em>\n   ct\n  </em>\n  = 5 km\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   ct\n  </em>\n  = 1.2/(\n  <em>\n   c\n  </em>\n  − 0.6\n  <em>\n   c\n  </em>\n  ) + 2 = 5 «km» ✓\n </p>\n <p>\n  <em>\n   t\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     5000\n    </mn>\n    <mi>\n     c\n    </mi>\n   </mfrac>\n  </math>\n  = 1.7 × 10\n  <sup>\n   −5\n  </sup>\n  «s» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  (\n  <em>\n   ct\n  </em>\n  ')\n  <sup>\n   2\n  </sup>\n  − 0 = 5\n  <sup>\n   2\n  </sup>\n  − 3\n  <sup>\n   2\n  </sup>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    γ\n   </mi>\n  </math>\n  = 1.25 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   ct\n  </em>\n  ' = 4 «km»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   t\n  </em>\n  ' = 13 «\n  <em>\n   µ\n  </em>\n  s» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    (b)\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       M\n      </mi>\n     </msub>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       P\n      </mi>\n     </msub>\n    </mfrac>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the net torque on the system about the central axis is approximately 30 N m.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The system rotates from rest and reaches a maximum angular speed of 20 rad s\n   <sup>\n    −1\n   </sup>\n   in a time of 5.0 s. Calculate the angular acceleration of the system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the magnitude of the resultant gravitational field strength at O.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the graph between P and O is negative.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the gravitational potential\n   <em>\n    V\n   </em>\n   <sub>\n    P\n   </sub>\n   at the surface of P due to the mass of P is given by\n   <em>\n    V\n   </em>\n   <sub>\n    P\n   </sub>\n   = −\n   <em>\n    g\n   </em>\n   <sub>\n    P\n   </sub>\n   <em>\n    R\n   </em>\n   <sub>\n    P\n   </sub>\n   where\n   <em>\n    R\n   </em>\n   <sub>\n    P\n   </sub>\n   is the radius of the planet.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The gravitational potential due to the mass of M at the surface of P can be assumed to be negligible.\n  </p>\n  <p>\n   Estimate, using the graph, the gravitational potential at the surface of M due to the mass of M.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (v)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw on the axes the variation of gravitational potential between O and M.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the moment of inertia of the system about the central axis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the angular speed\n   <em>\n    ω\n   </em>\n   decreases when the spheres move outward.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the rotational kinetic energy is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </math>\n   <em>\n    Lω\n   </em>\n   where\n   <em>\n    L\n   </em>\n   is the angular momentum of the system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   When the spheres move outward, the angular speed decreases from 20 rad s\n   <sup>\n    −1\n   </sup>\n   to 12 rad s\n   <sup>\n    −1\n   </sup>\n   . Calculate the percentage change in rotational kinetic energy that occurs when the spheres move outward.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Work using\n  <em>\n   g\n  </em>\n  ∝\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     m\n    </mi>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      g\n     </mi>\n     <mi mathvariant=\"normal\">\n      M\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      g\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi mathvariant=\"normal\">\n      M\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <msub>\n       <mi>\n        r\n       </mi>\n       <mi mathvariant=\"normal\">\n        P\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        r\n       </mi>\n       <mi mathvariant=\"normal\">\n        M\n       </mi>\n      </msub>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  = 0.75 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    ΣΓ\n   </mtext>\n  </math>\n  = 50 × 0.5 + 40 × 0.2\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  33 «Nm» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept opposite rotational sign convention\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  «α =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     20\n    </mn>\n    <mn>\n     5\n    </mn>\n   </mfrac>\n  </math>\n  =» 4 «rad s\n  <sup>\n   −2\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  g = 0 ✓\n </p>\n <p>\n  As g «=\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    -\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi mathvariant=\"normal\">\n      Δ\n     </mi>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi>\n       g\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <mi mathvariant=\"normal\">\n      Δ\n     </mi>\n     <mi>\n      r\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  which» is the gradient of the graph\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  As the force of attraction/field strength of P and M are equal ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The gravitational field is attractive so that energy is required «to move away from P» ✓\n </p>\n <p>\n  the gravitational potential is defined as 0 at\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ∞\n   </mo>\n  </math>\n  , (the potential must be negative) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   P\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    -\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n    </mrow>\n    <msub>\n     <mi>\n      R\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    AND\n   </strong>\n   g\n  </em>\n  <sub>\n   P\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n    </mrow>\n    <msup>\n     <msub>\n      <mi>\n       R\n      </mi>\n      <mi mathvariant=\"normal\">\n       P\n      </mi>\n     </msub>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  (at surface) ✓\n </p>\n <p>\n  Suitable working and cancellation of\n  <em>\n   G\n  </em>\n  and\n  <em>\n   M\n  </em>\n  seen ✓\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   P\n  </sub>\n  = −\n  <em>\n   g\n  </em>\n  <sub>\n   P\n  </sub>\n  <em>\n   R\n  </em>\n  <sub>\n   P\n  </sub>\n </p>\n <p>\n  <em>\n   Must see negative sign\n  </em>\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      M\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       M\n      </mi>\n     </msub>\n     <msub>\n      <mi>\n       R\n      </mi>\n      <mi mathvariant=\"normal\">\n       M\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       P\n      </mi>\n     </msub>\n     <msub>\n      <mi>\n       R\n      </mi>\n      <mtext>\n       P\n      </mtext>\n     </msub>\n    </mrow>\n   </mfrac>\n  </math>\n  = 0.75 × 0.27» = 0.20 ✓\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   M\n  </sub>\n  = «−6.4 × 10\n  <sup>\n   7\n  </sup>\n  × 0.2 =» «−»1.3 × 10\n  <sup>\n   7\n  </sup>\n  «J kg\n  <sup>\n   −1\n  </sup>\n  »✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (v)\n </div><div class=\"card-body\">\n <p>\n  Line always negative, of suitable shape and end point below −8 and above −20 unless awarding\n  <em>\n   <strong>\n    ECF\n   </strong>\n  </em>\n  from\n  <em>\n   <strong>\n    b(iv)\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n  <img 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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     Γ\n    </mi>\n    <mi>\n     α\n    </mi>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  33 =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  × 4 ✓\n </p>\n <p>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  = 8.25 «kg m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    (a)\n   </strong>\n   and\n   <strong>\n    (b)\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  moment of inertia increases ✓\n </p>\n <p>\n  Angular momentum is conserved ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Allow algebraic expressions e.g. ω =\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mi>\n      L\n     </mi>\n     <mi>\n      I\n     </mi>\n    </mfrac>\n   </math>\n   so ω decreases for\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   E\n  </em>\n  <sub>\n   k\n  </sub>\n  «=\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    I\n   </mi>\n  </math>\n  <em>\n   ω\n  </em>\n  <sup>\n   2\n  </sup>\n  =»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  (\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  <em>\n   ω\n  </em>\n  )\n  <em>\n   ω\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   Lω\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept equivalent methods\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   «E\n  </em>\n  <sub>\n   k\n  </sub>\n  =»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   Lω\n  </em>\n  <sub>\n   1\n  </sub>\n  <em>\n   =\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </math>\n   Lω\n   <sub>\n    2\n   </sub>\n  </em>\n  ✓\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi mathvariant=\"bold-italic\">\n      E\n     </mi>\n     <mrow>\n      <mi>\n       k\n      </mi>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </msub>\n    <msub>\n     <mi mathvariant=\"bold-italic\">\n      E\n     </mi>\n     <mrow>\n      <mi>\n       k\n      </mi>\n      <mn>\n       2\n      </mn>\n     </mrow>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      1\n     </mn>\n    </msub>\n    <msub>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msub>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  «\n  <em>\n   L\n  </em>\n  is constant so»\n  <em>\n   E\n  </em>\n  <sub>\n   k\n  </sub>\n  is proportional to\n  <em>\n   ω\n  </em>\n  ✓\n </p>\n <p>\n  40 % «energy loss» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    MP1\n   </strong>\n   is for understanding that angular momentum is constant so change in rotational kinetic energy is proportional to change in angular velocity\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [0]\n   </strong>\n   if E = 0.5 I ω\n   <sup>\n    2\n   </sup>\n   is used with the same I value for both values of E\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the pressure of the gas at B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch, on the\n   <em>\n    pV\n   </em>\n   diagram, the remaining two processes BC and CA that the gas undergoes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the temperature of the gas at C is approximately 350 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the change of entropy for the gas during the process BC is equal to zero.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the work done by the gas during the isothermal expansion AB is less than the work done on the gas during the adiabatic compression BC.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The quantity of trapped gas is 53.2 mol. Calculate the thermal energy removed from the gas during process CA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  use of\n  <em>\n   pV\n  </em>\n  = constant ✓\n </p>\n <p>\n  <em>\n   P\n  </em>\n  <sub>\n   B\n  </sub>\n  = 43 «Kpa» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  concave curved line from B to locate C with a higher pressure than A ✓\n </p>\n <p>\n  vertical line joining C to A ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   i.e.,\n   <strong>\n    award [1]\n   </strong>\n   for first process locating C at a lower pressure than A, then vertical line to A.\n  </em>\n </p>\n <p>\n  <em>\n   Arrows on the processes are not needed.\n  </em>\n </p>\n <p>\n  <em>\n   Point C need not be labelled.\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPUAAACtCAYAAABobDn/AAAfZElEQVR4Xu1dCXxNxxf+SCKIJWKLIiXUTu2hYgsllhAau9pC0Nh3qqqlttBaG7SWiiX2LWorCVrUXsT+J/Y1SIgtkvznzMuNINX3Xt5N8t491y+Sl8ydO/Od+e45c2bmnHRx4gJfjAAjYDEIpGNSW4wsuSOMgETgPVIripu+p0uX7i2YEv8u8c9Ujj4r99Jn+oqNjdU9JP5z4r9/yEBQ6n73+VRXUs9hWTICjMAbBN4iNRHmwIEDePDgAfbt24dPP/0ULVq0QFhYGE6dPImz587B19cXN2/cwJq1a5EnTx506tQJ2bNnx65duxAUFIRSpUqhQ4cO8gkLFy7ElStX4OHhgZo1ayIwMBDNmjVD1qxZ5c9ubm7yvpcvX+LZs2fo3LkzNmzYgOPHj6Nhw4aoV68erK2tE1r78OFDrFixAi9evJAvjD59+iBjxozvvXxYwIyAlhF4i9RElMWLF2PVqlVYtGgRli9fLknj6OiIaVOnYeiwoShZsiTGjh2LCRMm4OjRowgJCcGwYcPQu3dv+Pv7Y+XKlfJlcPPmTfky6Nq1qyw/ceJE+PTwgf9cf1lf37590b9/fwwdOhQVK1aUBD8nXhoRERHynsGDB6N9+/Zo1KhRgnyoXbNnz8b8+fMxffp0VKpUCd27d2dSa3kEc9/fQ+A9UhOZidze3t64fPkyxo8fjyZNmuDQoUOYPHky5syZg9WrV6Nq1ap49eqV1Ozr16/HuHHj8Pz5c9SoUQNeXl7y3jFjxqB48eJo3Lix+L2r0ODtMWvWrARSDxgwAKNHj8bIkSNRtmxZeHp6Infu3PLr0qVL8l56pmJ2jxgxAu7u7qhdu7bU8Nu3b4efnx+Tmgc2I5AIgSRJ/fTpU6lJz58/j5kzZ0oz+NSpU1LjBgQEIDQ0FIMGDUJMTAyuXr0mtHcJqZnt7Owwd+5caTKTBqXr7t27IDJOmjQJU6ZMwbRp05A3b1507NhRvjBI448aNQpFixaV5rePj4+0BsLDw2U9xYoVk/WQid60aVP5UqCyw4cPly8L0vB0RUdHy/Lp06dnATMCmkbgPVLTPJhMcJo77969W2ppIu/Zs2elVn306JE0tUljEpHv3buHIUOGyN+1atVKzqFJ0+bMmRM7d+6UpNu4caMk8JIlSyTp8uXLhxkzZkgNr5C6RIkS8vPmzZvlfHrNmjXSWlDM78jISKmhyQqgug8eOIi58+bC1tZWtu+bb75BuXLl0LZtW9bcmh7S3PkkNfXt27flvJg0auXKlaW2JUdWkSJFpPeZ/n748GFJKCIazbtpPnzmzBlJaBcXF0msgwcPSqcbmdHkQIuKisKePXuQLVs2aYITueklUKhQIek8I3IeO3ZMzsU/+eQTSVJF8+7fv186yUiTX716Fa6urrC3t5dThW3btsn2kKYmx13BggVZsoyAZhFIktRk6pLmTWpJSUEq8fJUSqC3dOlS+RIhTa20i9pAlgM50MhMp5cFzf179erFZnhKCIWfkSYReG+dmkhC2s/BwSFNmbFk5hOpibiJXzb379+HlZUVTpw4AScnJwmys7MzkzpNDjduVEogYBE7ykhjBwcHS1KTE40vRkDLCDCptSx97rtFIsCktkixcqe0jACTWsvS575bJAJMaosUK3dKywgwqbUsfe67RSLApLZIsXKntIwAk1rL0ue+WyQCTGqLFCt3SssIMKm1LH3uu0UiwKS2SLFyp7SMAJNay9LnvlskAkxqixQrd0rLCDCptSx97rtFIsCktkixcqe0jACTWsvS575bJAJMaosUK3dKywgwqbUsfe67RSLApLZIsXKntIwAk1rL0ue+WyQCTGqLFCt3SssIMKm1LH3uu0UiwKS2SLFyp7SMAJNay9LnvlskAkxqixQrd0rLCDCptSx97rtFIsCktkixcqe0jACTWsvS575bJAJMaosUK3dKywgwqZMl/TjEyfvTye/p5Fes+D99smrlmxmB5CDApDYSPR2ZIcgcK8msUFr3M1+MQOohwKQ2EntKnxsV+QJ/bTyH/SdvoK6rM2o3LyW4nS6R3jaycr6NEUgGAkxqI8AjQt+78Rgz+2xB/mIOqOlVAoET/8K3gW2RIaNNgiluRNV8CyOQbASY1EZAGBsTi8lfrUfZCgXh7l0R6a2sEH4vEjnzZBPTadLUOmOcL0YgNRBgUhuIOmnpB7cjMMIjELP3dkXGzBnerkGa33wxAqmHAJPaQOyJ1Ncu3cPEDhsxQ5DaNqM1xK8QI7Q3/WBtY21gjVycETAtAkxqA/EkUkeEP8PQRgGYsKEtcn2UHS+evcLmX4/Azj4jGneuKI1v1tYGAsvFTYYAk9pAKGllOi42DlsDjmL7ijNwcf0YW0MuooxTLvhMro8cubMwqQ3ElIubFgEmtcF46jacxL6Ow6E/zuPU0Tto4FUS+QvngnUGYYqLf+lZTxuMKt9gOgSY1EZgqWw8IRNbUjxOmNtsbxuBJN+iBgJMajVQ5ToZgVREgEmdiuDzoxkBNRBgUquBakKdyjEPVR/ClTMCbyHApFZhQOionHjmrcJDuEpG4F8QYFKrMDRoLZsu2k6aPr3whZMXjR1pKiDNVSaFAJNahXHxIuoVDm29gBOnbqN6dSdUblhMR2y+GIEUQIBJrQLID25FYnr/LchQwA5ZnsVioH9zpJNxE5jYKsDNVb6DAJNahSERfjsSP/Rchy6ja8F/Qgimr/hSHMm0Zm2tAtZc5fsIMKlVGBWS1D7r8M3CLzDFdzO+HFoDJSoVFPNrPpSpAtxcJWtq9ccAkXpCz7X4bmkbBK8LxY2bEfAZ7gYraya1+ujzE1hTqzAGHhCpfQSpA9rg5bNoTOy7CV//7IkcebKwCa4C3lzl2wgwqVUYEREPovBt7zX4/lcv2GXJhF8mByO3OL3V0ruqcJixs0wFyLnKRAgwqVUYDlERzzHSdw0mzPkCmbNmQujBMCz48U/4LW8vgihYxR/+4M0pKkDPVdIai9gooYwuswWEuhAcHAwnJycULVo01fvxOvo1BvqswpjxTUQQhayIfhmD4V1WoatvdZR1LZwo4igvc6W6sCywAUxqFYT6+nUMhnReiQGj6+HjEnnkE4KXncSuPy9i3M8thQlOJ655X7gK0HOVrKnVGQMUr+yn9hvRsF8FlK7+sTC34xD56DkGtVkOv2VtRHSUbHz+Wh3ouVYmtanHgE77xghNPa3dRtTvXQ7FKxUQhI5CXqccWPxjCLI42MGrSxW5J5wvRkANBNj8NiWqYm5PtL527j6WjAhG474VcezIDWS3t8UXParhwomb8B8TgqnrRNB/W4o6yp5wU8LPdekQYFKbciQIRkcLJ1nPav6IiRLz6gWemD1tD4b/0ACFSjoKh1k0xvZej7a9quFTl4LiyaytTQk/18WkVmUMUKTR/VvOYsGoP9B3VmPMmrgLs1Z3FktbthTQDPs2h2L/rssYPsMj0UYUdpqpIgyNVsqaWgXBPxdHL0e2XgFboYjzVXJEvzGfC0NbfBAOsyePn2NCqzXoPrU+ipb/KP7pTGoVxKDZKpnUKoieHGWTO61HJjsbeE+ph6z2dpLQROxYocn3rDqJoMUnMWF9W5Hhw0a0QJCaz1urIAltVsmkVkHuROpJbdfDc0gVlKzqFH86S/cg2igT/fI1ZvTZBJcGJVCzdemEFrDbTAVhaLBKJrUKQqd16h87inVq3/IoW6PQe4c4iNhXQu9gyehgDFvSEpmyZdR5LVVoC1epPQSY1CrInEg9s+tm1O5cGhXqFknyEAdtJZ0zZCucizmiyVeVRQZcprQKotBklUxqFcROAQfnD96JKh7OqOBW9C3C6jbaU1YP4MalB5j91RaMXO4Fe5mDiy9GIPkIMKmTgSGZ0fRFQQUTBxaUpB60A1WbF0V5oakTa+EEUtPub+E0C/Tbgxhx4KPjmHrxJrhuAwtnzkyGYDR+K5PayAFAZD59+jT8/Pwwe/ZsZMuWLaGmmNe6OXUd79KoVP+TfzWtqY7IB88wumkAhi/zQv4iOaUTnEltpFD4Np064KOXxo2EmJgYTJgwAceOHkW3bt3g0axZQkV0Smv0l6vh83UdFC6d91+jnSha+/f5R3D+yC30mdlYt32U59fGCYXvYlIbOwZIwz558kSSefDgwfjhhx+wadOmhEMaL19EY6jvKoyf2gLZcmT+wGOI1nEiaX00JnVaixb9q6GcOG/NMcKNlQzfx5rayDFApN69ezd27dqFsWPHolGjRpg6dSoqVKgga3x45wmm9Nkoo4nayeWqf/ds61LhAsfF1tFN8/7GqIBWsBHamoltpHD4Nja/DR0DRGgyvdu1a4eIiAjkz58fFy5cQPny5eXcmq7t27bjyL5QDBjVC3Z2mT9AUMUpRil64jBv6A7kzJ8JrQfURDorPuxhqGy4vA4BnlMbOBKI1GFhYfD19cVvv/0GGxsbREVFoUWLFtIEd3BwwMdOH0vzPGhLEGrXqv2BYINvfOGkzSPDozC2qQh7NKW2DHvE2tpA4XBxJrUxYyA2NhYzZsyAlZUV+vXrJ6sgog8cOBCVK1eWGnzEiBHYvn07fv/9d6nJ9SGnEiju/OEbWDj8Dwz+rTnyFLCXlrsu9BFrbmPkpcV7WFObUOrKmjVVGRQUJIMgFi9eXC9Sy5cD/RP8XTN1P+6EPUSvae48vzahfLRSFZNaJUk/evQIa9asgbe3t0Ghi+jFQFkzf+qxCRU/d0bDLhU5VrhKMrLUapnUKkmWyLlgwQI0bdoUefP++1q18vg3UcB12vrW5Yf4vuMaDJ3ngSJl8+mt7VXqDldrRggwqVUU1sOHD7F+/Xp07drVIG1NTaJz18f2XsLyyQfwfaDI9EFLY7p8uHyaS0WZWULVTGqVpbhixQrUqVMHjo6OhmlbOncttpvO/34nsuTMjI59aiC9tcjuoXJ7uXrzR4BJraIMyQS/efMmDhw4gJYtW0qPuf6X7rDIExEv/PuOQtuPrYmSlSnggqKrOW2P/lhqqySTWmV500aVwMBA1KtXT6+5deLm6E6BQYQWvg6/ITvgF9gWDrntECf3hlN4JDbGVRafWVbPpFZZbETMW7duyW2lHTp0MHhuLefX4ihn0K+HcXLfNQzy90DGLLYJZrg+a+Aqd5GrT2MIMKlTQCC0YWXZsmWoVq2aXLs2lIj0YqCTX8t+3IvIp6/QvGMFRL96jQJFciODCFyoO8+dAh3hR5gFAkzqFBCTXHt+8QLTf5qOIUOHwNra8AMbNIN++fwVfhm5Ayd3hyEiNgb2+ezQvH051PIsA7vsGd8L1pACXeNHpEEEmNQpJBQi9j///IM7d+6gQYMGBpvhOrdYLKIiXsF/wBbcvf4YrQbVwN+7ryDs3F3Ua1kKNVuUQTb7THweO4VkmlYfw6ROQclER0cjICAA7u7u+OgjJZC/fg1Qwv3T96jI5/Drtg6OIume94TP8eBWJDYvPS7CEX+Emg1LCI3N+8T1Q9UySzGpU1CupK3v3bsnN6T4+PgYoK11RzTFzDmhtXeuPcL4VitR3aM42osIK+QlJ494+vRKGZ5kp6Bo09SjmNQpLA5ymu3YsUMe16S1a0OdZjrq6v5fNikEOxaeEGb4Z3D3rgJrG0pmz5fWEWBSp8IIII29fPlyGSmlVKlSRrWA6gg9dBXTum+AU5FccPEoAfculZDeimltFKAWdBOTOhWESYQkTe3v748ePXrA3l6cmzbo0u02uxx6FxPbr5axzYKXnkbn8XVR5jMKrmBQZVzYwhBgUqeiQGkLKQVSoAMftMxlyBUXC7F2TTm5NovjmRVgDSvMG7ADg5d6oEDRPDpiM7kNgdRiyjKpU1GUpG33798vl7p69uxp2N5w2kJKMVEEu4nAlFHz2O6LCBz3F3rNcpehiekPrLVTUcCp9GgmdSoBrzyWiL1nzx4ZxLCZiB2ut+OM3N2CsZLa0vWdDrHi+5HtF7F2ykH0mu2OQqVIY7O6TmURp/jjmdQpDvn7DyRiU0wzmlu7uLjIAoaRMd4fLr7ROewDm85i3aS/MWR5czgWdtBp8nhyc3r7NCBwlZvApFYZYH2rp9NcFP6I9oaTV/zd/Fz61iNPdgliH952ASum7Ee3yW4oU8VJhkSiOpnU+iJpvuWY1GlIduT4oo0pFIG0mku1BCIa0kQlOQBZ5OcOX4e/32606lIFro1LJrwomNiGIGp+ZZnUaUxmpLG3/r4VdlnsUKtWLbnrzBBTXEYkJfNdl/gDt8PC8WPvIHz2eTG0GFhd5xBPcKBxoIU0Jn6TNIdJbRIYTVsJ7Trbtm0bKCJp69atjTrVFR9wWHjH0yH8diRm+fyOmMyx6D62Hj4ukUe3RZXUeUJIcXaomVaKqVcbkzr1sP/gk4nYISEhMqVP586dkTGj7mil/teblD60pv3syQvsWHoMB7ZdQhexV7xUNSdlv2n8spchdevfCi6Z8ggwqVMec72eSA4vuojUlM6HNqjkzEn5q40jH1VHEVT+2XMFi0bvQvfJ9VGuVuH4tiQ+KqJX87hQGkaASZ2GhaM07fHjx5g5cya++OILlCxZ0oDTXW86F3+IS/7itCD2/BE74D2pPj6t5Rwfedi4l4UZwKe5JjKpzUTkdBZ77dq1cn7t4eEBW1tbg1pOpFa83uREu3j8Jn4d+Qc8+1aFSxNKDcQnvAwCNA0XZlKnYeG82zSaZ585cyYhQUCBAgX0br3i55Y3yA+xuHTitoiishWfi5hnjXpUij/SyVvG9QY1jRZkUqdRwXyoWS9fvpTmeOnSpVG/fn1kyJBBz14oJ7HFHFruHQfuXH2MWV8F4dO6hdDc1wW2makuXTkOQawnrGmsGJM6jQlE3+aQI+3gwYM4evQoateuLQkul6n0vuLEXnHdgY8nD58hYFywXNtu1qsaChR3ELHFdRWxC01vQNNMQSZ1mhGFcQ2hc9k7d+7E7du34eXlhVy5cunI+J9ecjqTrSM1vSAo5PAfK07gj19OoqEwxeu2KwObDCLNz3/WY1y7+S71EGBSq4dtitSsy+IRh/DwcKxevRrZs2eHp6cnMmfOrAe5E4UzpCUvUc+Niw8QMDYYwqaHzw9uyPVRNh2xSY2TQZ6wx5Q3m6aIgI14CJPaCNDS4i3Kuva5c+dk4IUSJUpIs9zOzk4Pcr/pkZIfO2TtSWxefArNvqyAWq1LIZPdm3n7G+XNy2BpcSwwqdOiVJLRJl02j9c4fvw4jhw5IkMRUx6vLFmy6EVu3Xq2mG8LT/tdEbF0ud9+PH32Eq17uaB45fwyBprOJGdCJ0NMqt7KpFYV3tSpXNHaRO7Lly/LOTdtM6X1bZpz/9chkYQNpoLhr15G48yRG5g/cjcqujmh9YAaImFAZp5rp45o9Xoqk1ovmMy3kDLnvnr1qjwkQoQm07xixYrSNFccYYkdYm8WvkhpU8ikOEQ+eoo1i4/gwl830bKPCyq5FhYhiSlftvi7mG/z8lfaGSNM6rQjC1VbomhvWuMms/zKlStyfbt8+fIyMIOyHPa+tzue4uRIE8EXTh+7jjXzDyNLnDXaDf5MLH/lij+nTc1nk1xVIepZOZNaT6AspZhCbjq3fVdkCzl6+LDM75U7Tx64ubkhW7ZsUjO/WfNW9DbNtXXO79di+Wvn0pPYtPA4PHqUw+etKyBDJsOT/lkKpmmtH0zqtCaRFGxPYoJfvHgRe/fulU626tWrS+1NzrUEzR3v8lZWtojd9289xpyBOwGr1+gwohYKl3KElbXiSFM6wto7BUWqc4YKwb61LTilG2CK51EXgoOD4eTkJAcjX8YhoCQZOHToMC5duijXvAsWLCh3q5EGT6CpJLhObVPe7ANbL2LL/KNwLpsLDTpXEHHHc4lwx7oDIrqdabwvzTiJGHcXk9o43Cz+LlrSoiOf//vf/3Dy5Ek8efJEzr+rVKkiN7a8iU4aK51pT8OfI2R1KP5afQb5P3VAQ7G+7Sxij1uLXWkyfBLPt1NszDCpUwxq83yQYsjR0c/Q0FBpotPPFPGUvrIKDW4jjoOKlW2plqNfvsa+DWex9ZdjsMmUDp59qokz24Vhm8km/kXwJoNnYi+7Dh021U0xSpjUpkBRQ3UQyUmLE8FJgz979kxGZClWrBicnZ3jtTgQExOHiyduYdv8Y7h38zEqNyiKz5qVRB6n7LooqdKAp/9FhpEEMjOpTTGUmNSmQFHDdRDBb926BXK0Xbt2DS9evJC72KpWrao7XCK09/9O3saZv6/h0JaLcMiTBW5tyqF8fWfhYNPNtt+ORs7ETu5wYlInF0G+PwEB0uK0Dk6J/w6LpbKwsDA45HCAa01XFC5UWJjm4rho0DnsXX0acTHWaD/aFSWqFNBtPU2wvpnUyR1STOrkIsj3J4mAbi4eJ8IcP8Y/J07gzNlzYquqLfJ/lB+5c+ZF1ANgwejfUapkcXgNc4Vzuby89dREY4lJbSIguZqkEVAcbfT91atX8tz3mdAzCLsahonjpyAL8qFfx1HimGcTue2UfWXJH0lM6uRjyDXoiUBigj969BB9+vTFi2cvsGDhItjniD+3HV8XB2fQE9QkijGpjceO7zQaAV2ABVoaUxIBUkBF8qTTZ9roQpuIKHIqX4YjwKQ2HDO+w4QIKGZ527ZtUa1aNWS0zYjTp0+jrltdtGvXjufZRmDNpDYCNL7FdAgopO7ZsyemTJkil8GuX7+OSZMmYc6cOQYGUzRdu8y5Jia1OUvPAtqukLpjx45o3LixTFKwa9cu1KlTB/Q7nlsbLmQmteGY8R0mREAhdYcOHWTqXtpX/uDBA7mR5aeffjI4E4kJm2a2VTGpzVZ0ltFwhdS9evXC5MmT5ZbT58+fy7xhgYGByJEjh2V0NAV7waROQbD5Ue8joJCa0vUSkekM96VLl2RqIYqKSrHV+DIMASa1YXhxaRMjQKSmKCxBQUHS7KYrU6ZMaNKkCezt7U38NG1Ux6TWhpy5lxpCgEmtIWFzV7WBAJNaG3LmXmoIASa1hoTNXdUGAkxqbciZe6khBJjUGhI2d1UbCDCptSFn7qWGEGBSa0jY3FVtIMCk1oacuZcaQoBJrSFhc1e1gQCTWhty5l5qCAEmtYaEzV39bwQSp5Yz17PcTOr/ljOX0BACjx49kplHXFxc5FlucyS2xZG6SJEiGhqC3FVTI0AZR44dO4Y///wTHh4eoPFkbsS2GFJTRojt27e/lXLV1ALn+rSBAJngFNk0JCQEixcvlmmEzOkyS1Ir8567d+9KrHPnzi0D1FlAqm1zGjsW11Yl+R+FK96yZYvU1GXKlGFNnRKSJvApOF1AQICMjEGxrdq3b2924KcEVvwM/RGgcXX//n1pfru5uSFDhgx63Uz3/fzzz3B1dUW5cuVMPg4vXLiAv//+GxTHjZQXTRHmzZsn5/0VK1Z8r41mp6kJQEqA3qlTJ9kxGxsbdOvWDStWrJARM/hiBEyJAEVlISLRvJrGHn3RZ/q9SBUGK2sr+bs+ffqgeXNP1KvnJssqliP9TZmTExmV5AXKz4nLxcWKuq10z0p8EanHjRuHX375RTrvKAHh4EGDRGaThbCzs3uvvFmSOjw8HN999x1mzpwpAaWY0WPGjEHBggVNKU+uS+MIEPFGjRqFr776So6tVatWwcHBQX7NmDFDErtGjRro3r07Bg4cKEjdHPfu3ZPTwYYNG2Lbtm0IFyGaconP+/buw40b12ErLEu6Z/PmzShcuLAkK6UC9vPzw+PHj6W5P3jw4LeiqNLve/fuDX9/f2TNmhUTJ06U5eh5STnxzJLUFMuKOjZt2jQ57IjUQ4YMkYnP+WIETIkATfGuXr2KYcOGoWvXrpKERPRvvvkGzs7OkswtW7bEhg0bJMlCQ0ORP39+tGnTBsuWLQP5ffLlyydjsM2dO1eWp3FKLwpvb29MnToV48ePl6Y1mdJff/013N3d0ahRo4RuvH79Wr446G9E4m+//RZzhZWaVQRpTOoyS1I/fPhQgkwgUSd79OghCU5vUL4YAVMiQGONyErZQhYtWiQtQiLgypUrZeRTcqiR5Uhz3ndJTS8E0txEasrVPWLECEnMBg0aSD9Qv3790L9/f3z55ZeS6OQfevr0qSQ1RVdVLrIYxo4di+rVq2Pnzp0yKGPdunX/NXuJWZKa3lxkjnTp0kWaKWSGLxSA23BCNVOOZ64rHgFfX19ERETAy8tLmNXuaN26lTSFHR0dpdYsW7Ys9u7dC09PT5w7d0462EizUhoh8vNQOUrhO2DAAIwePVqSlpxqRGqyMInsZAGQ5icHMJUnh1vii0z/8+fP49SpU1iyZMkHN8aYHampozSPvnHjBhYKRwG9xejN+cknn5jc68ijmhEgBMgbTsQjc5pyfa1btw47duyQc2eaV5M5TmZ07dq1pelN2pi+k9YlctI6N70UyKFLFiVpXPoi7UvEphcBOcHy5s0rNTslNSBiJ74OHTqEvn37Yv78+f/pYTdLUivETuyNNLddP0wX80GAFAcRlJxUNM7oMzmvKBVv9uzZpdaMioqSqXfp58jISLl5hf5Gl+I5J61Nv6dypM1pFYe81+QBp3voM2UkodRD745nsk6pDZTml8p/6DJbUpvPkOCWmjsCyqYmhWjvbnJSSJuYwEk6sOKXxRKXS6rOpBTUu21gUpv7qOL2MwIGIMCa2gCwuCgjYA4IMKnNQUrcRkbAAASY1AaAxUUZAXNAgEltDlLiNjICBiDApDYALC7KCJgDAv8HO9QJ+eBFiQUAAAAASUVORK5CYII=\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <msup>\n    <mi>\n     V\n    </mi>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  = constant «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    300\n   </mn>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      3\n     </mn>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi mathvariant=\"normal\">\n       A\n      </mi>\n     </msub>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     T\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi mathvariant=\"normal\">\n       A\n      </mi>\n     </msub>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  » ✓\n </p>\n <p>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 624 «K»\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 351 «°C» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    p\n   </mi>\n   <msup>\n    <mi>\n     V\n    </mi>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  to get either\n  <em>\n   p\n  </em>\n  <sub>\n   c\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    43\n   </mn>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      3\n     </mn>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   p\n  </em>\n  <sub>\n   c\n  </sub>\n  = 268 «kPa» ✓\n </p>\n <p>\n  «\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 268 × 300/129 = so »\n </p>\n <p>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 624 «K»\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 351 «°C» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  «the process is adiabatic so» ΔQ = 0 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  The compression is reversible «so ΔS = 0» ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   <em>\n    OWTTE\n   </em>\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  area under curve AB is less than area under curve BC ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow\n   <strong>\n    ECF\n   </strong>\n   from part\n   <strong>\n    (b)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  «W = 0 so» Q = ΔU ✓\n </p>\n <p>\n  «ΔU =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 53.2 × R × (351 – 27) so » ΔU = 2.15 × 10\n  <sup>\n   5\n  </sup>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the net torque on the system about the central axis is approximately 30 N m.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The system rotates from rest and reaches a maximum angular speed of 20 rad s\n   <sup>\n    −1\n   </sup>\n   in a time of 5.0 s. Calculate the angular acceleration of the system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the moment of inertia of the system about the central axis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the angular speed\n   <em>\n    ω\n   </em>\n   decreases when the spheres move outward.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the rotational kinetic energy is\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </math>\n   <em>\n    Lω\n   </em>\n   where\n   <em>\n    L\n   </em>\n   is the angular momentum of the system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   When the spheres move outward, the angular speed decreases from 20 rad s\n   <sup>\n    −1\n   </sup>\n   to 12 rad s\n   <sup>\n    −1\n   </sup>\n   . Calculate the percentage change in rotational kinetic energy that occurs when the spheres move outward.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline one reason why this model of a dancer is unrealistic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    ΣΓ\n   </mtext>\n  </math>\n  = 50 × 0.5 + 40 × 0.2\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  33 «Nm» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept opposite rotational sign convention\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  «α =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     20\n    </mn>\n    <mn>\n     5\n    </mn>\n   </mfrac>\n  </math>\n  =» 4 «rad s\n  <sup>\n   −2\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     Γ\n    </mi>\n    <mi>\n     α\n    </mi>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  33 =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  × 4 ✓\n </p>\n <p>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  = 8.25 «kg m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    (a)\n   </strong>\n   and\n   <strong>\n    (b)\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  moment of inertia increases ✓\n </p>\n <p>\n  Angular momentum is conserved ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Allow algebraic expressions e.g. ω =\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mi>\n      L\n     </mi>\n     <mi>\n      I\n     </mi>\n    </mfrac>\n   </math>\n   so ω decreases for\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   E\n  </em>\n  <sub>\n   k\n  </sub>\n  «=\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    I\n   </mi>\n  </math>\n  <em>\n   ω\n  </em>\n  <sup>\n   2\n  </sup>\n  =»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  (\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n  </math>\n  <em>\n   ω\n  </em>\n  )\n  <em>\n   ω\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   Lω\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept equivalent methods\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   «E\n  </em>\n  <sub>\n   k\n  </sub>\n  =»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   Lω\n  </em>\n  <sub>\n   1\n  </sub>\n  <em>\n   =\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </math>\n   Lω\n   <sub>\n    2\n   </sub>\n  </em>\n  ✓\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi mathvariant=\"bold-italic\">\n      E\n     </mi>\n     <mrow>\n      <mi>\n       k\n      </mi>\n      <mn>\n       1\n      </mn>\n     </mrow>\n    </msub>\n    <msub>\n     <mi mathvariant=\"bold-italic\">\n      E\n     </mi>\n     <mrow>\n      <mi>\n       k\n      </mi>\n      <mn>\n       2\n      </mn>\n     </mrow>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      1\n     </mn>\n    </msub>\n    <msub>\n     <mi>\n      ω\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msub>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  «\n  <em>\n   L\n  </em>\n  is constant so»\n  <em>\n   E\n  </em>\n  <sub>\n   k\n  </sub>\n  is proportional to\n  <em>\n   ω\n  </em>\n  ✓\n </p>\n <p>\n  40 % «energy loss» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    MP1\n   </strong>\n   is for understanding that angular momentum is constant so change in rotational kinetic energy is proportional to change in angular velocity\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [0]\n   </strong>\n   if E = 0.5 I ω\n   <sup>\n    2\n   </sup>\n   is used with the same I value for both values of E\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  one example specified\n  <em>\n   eg\n  </em>\n  friction, air resistance, mass distribution not modelled ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [1]\n   </strong>\n   for any reasonable physical parameter that is not consistent with the model\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "23M.2.HL.TZ2.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show, using the data, that the energy released in the decay of one magnesium-27 nucleus is about 2.62 MeV.\n  </p>\n  <p style=\"text-align:center;\">\n   Mass of aluminium-27 atom = 26.98153 u\n   <br/>\n   Mass of magnesium-27 atom = 26.98434 u\n   <br/>\n   The unified atomic mass unit is 931.5 MeV c\n   <sup>\n    −2\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the pressure of the gas at B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Sketch, on the\n   <em>\n    pV\n   </em>\n   diagram, the remaining two processes BC and CA that the gas undergoes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the conclusion that can be drawn from the existence of these two routes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the difference between the magnitudes of the total energy transfers in parts (a) and (b).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain how the difference in part (b)(ii) arises.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the temperature of the gas at C is approximately 350 °C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The smallest mass of magnesium that can be detected with this technique is 1.1 × 10\n   <sup>\n    −8\n   </sup>\n   kg.\n  </p>\n  <p>\n   Show that the smallest number of magnesium atoms that can be detected with this technique is about 10\n   <sup>\n    17\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A sample of glass is irradiated with neutrons so that all the magnesium atoms become magnesium-27. The sample contains 9.50 × 10\n   <sup>\n    15\n   </sup>\n   magnesium atoms.\n  </p>\n  <p>\n   The decay constant of magnesium-27 is 1.22 × 10\n   <sup>\n    −3\n   </sup>\n   s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n  <p>\n   Determine the number of aluminium atoms that form in 10.0 minutes after the irradiation ends.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate, in W, the average rate at which energy is transferred by the decay of magnesium-27 during the 10.0 minutes after the irradiation ends.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the change of entropy for the gas during the process BC is equal to zero.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the work done by the gas during the isothermal expansion AB is less than the work done on the gas during the adiabatic compression BC.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The quantity of trapped gas is 53.2 mol. Calculate the thermal energy removed from the gas during process CA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  (26.98434 - 26.98153) × 931.5\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  2.6175 «MeV» seen ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  use of\n  <em>\n   pV\n  </em>\n  = constant ✓\n </p>\n <p>\n  <em>\n   P\n  </em>\n  <sub>\n   B\n  </sub>\n  = 43 «Kpa» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  concave curved line from B to locate C with a higher pressure than A ✓\n </p>\n <p>\n  vertical line joining C to A ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   i.e.,\n   <strong>\n    award [1]\n   </strong>\n   for first process locating C at a lower pressure than A, then vertical line to A.\n  </em>\n </p>\n <p>\n  <em>\n   Arrows on the processes are not needed.\n  </em>\n </p>\n <p>\n  <em>\n   Point C need not be labelled.\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  evidence for nuclear energy levels ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Difference = 2.6175 – (1.76656 +0.84376) = 2.6175 – 2.61032 = 0.007195 «MeV»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Difference = 2.6175 – (1.59587 +1.01445) = 2.61032 = 0.007195 «MeV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  Another particle/«anti» neutrino is emitted «that accounts for this mass / energy» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <msup>\n    <mi>\n     V\n    </mi>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  = constant «so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    300\n   </mn>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      3\n     </mn>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi mathvariant=\"normal\">\n       A\n      </mi>\n     </msub>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     T\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <msub>\n      <mi>\n       V\n      </mi>\n      <mi mathvariant=\"normal\">\n       A\n      </mi>\n     </msub>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      2\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  » ✓\n </p>\n <p>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 624 «K»\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 351 «°C» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    p\n   </mi>\n   <msup>\n    <mi>\n     V\n    </mi>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  to get either\n  <em>\n   p\n  </em>\n  <sub>\n   c\n  </sub>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    43\n   </mn>\n   <msup>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      3\n     </mn>\n     <mo>\n      )\n     </mo>\n    </mrow>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   p\n  </em>\n  <sub>\n   c\n  </sub>\n  = 268 «kPa» ✓\n </p>\n <p>\n  «\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 268 × 300/129 = so »\n </p>\n <p>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 624 «K»\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n  </em>\n  <sub>\n   C\n  </sub>\n  = 351 «°C» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  So 1.1 × 10\n  <sup>\n   −8\n  </sup>\n  kg ≡\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      027\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  × 10\n  <sup>\n   −8\n  </sup>\n  «mol»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Mass of atom = 27 × 1.66 × 10\n  <sup>\n   −27\n  </sup>\n  «kg» ✓\n </p>\n <p>\n  2.4 − 2.5 x 10\n  <sup>\n   17\n  </sup>\n  atoms ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   N\n  </em>\n  <sub>\n   10\n  </sub>\n  = 9.50 × 10\n  <sup>\n   15\n  </sup>\n  ×\n  <em>\n   e\n  </em>\n  <sup>\n   −0.00122×60\n  </sup>\n  seen ✓\n </p>\n <p>\n  <em>\n   N\n  </em>\n  <sub>\n   10\n  </sub>\n  = 4.57 × 10\n  <sup>\n   15\n  </sup>\n  ✓\n </p>\n <p>\n  So number of aluminium-27 nuclei = (9.50 – 4.57) × 10\n  <sup>\n   15\n  </sup>\n  = 4.9(3) × 10\n  <sup>\n   15\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  Total energy released = ans\n  <strong>\n   (c)(ii)\n  </strong>\n  × 2.62 × 10\n  <sup>\n   6\n  </sup>\n  × 1.6 × 10\n  <sup>\n   −19\n  </sup>\n  «= 2100 J» ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     2100\n    </mn>\n    <mn>\n     600\n    </mn>\n   </mfrac>\n  </math>\n  =» 3.4 −3.5 «W» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  «the process is adiabatic so» ΔQ = 0 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  The compression is reversible «so ΔS = 0» ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   <em>\n    OWTTE\n   </em>\n  </strong>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  area under curve AB is less than area under curve BC ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow\n   <strong>\n    ECF\n   </strong>\n   from part\n   <strong>\n    (b)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  «W = 0 so» Q = ΔU ✓\n </p>\n <p>\n  «ΔU =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 53.2 × R × (351 – 27) so » ΔU = 2.15 × 10\n  <sup>\n   5\n  </sup>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "b-4-thermodynamics",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the unit of μ in terms of fundamental SI units.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   draw a free-body diagram for the ball.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   show that the speed of the ball is about 4.3 m s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   determine the tension in the string.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the collision is elastic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the maximum height risen by the centre of the ball.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain a possible reason for the systematic error.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the gradient of the graph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The coefficient of dynamic friction between the block and the rough surface is 0.400.\n  </p>\n  <p>\n   Estimate the distance travelled by the block on the rough surface until it stops.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  [μ] = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      kg\n     </mi>\n     <mo>\n      ×\n     </mo>\n     <mi mathvariant=\"normal\">\n      m\n     </mi>\n     <mo>\n     </mo>\n     <msup>\n      <mi mathvariant=\"normal\">\n       s\n      </mi>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <msup>\n      <mi mathvariant=\"normal\">\n       s\n      </mi>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mi mathvariant=\"normal\">\n       m\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  » kg × m\n  <sup>\n   −1\n  </sup>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept kg/m.\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept g m\n   <sup>\n    −1\n   </sup>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Tension upwards, weight downwards ✓\n  <br/>\n  Tension is clearly longer than weight ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Look for:\n  </em>\n </p>\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   v\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mn>\n     2\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <mn>\n     9\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     81\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <mn>\n     0\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     95\n    </mn>\n   </msqrt>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  = 4.32 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must see either full substitution or answer to at least 3 s.f.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   T − mg = F\n   <sub>\n    net\n   </sub>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T − mg =\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      m\n     </mi>\n     <msup>\n      <mi>\n       v\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mi>\n     r\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   T\n  </em>\n  «= 0.800 × 9.81 +\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      800\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       317\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      95\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  » = 23.5 «N» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Use of conservation of momentum. ✓\n  <br/>\n  Rebound speed = 2.16 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n  <br/>\n  Calculation of initial KE = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 0.800 × 4.317\n  <sup>\n   2\n  </sup>\n  » = 7.46 « J » ✓\n  <br/>\n  Calculation of final KE = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 0.800  × 2.16\n  <sup>\n   2\n  </sup>\n  +\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 2.40 × 2.16\n  <sup>\n   2\n  </sup>\n  » = 7.46 «J» ✓\n  <br/>\n  «hence elastic»\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n  <br/>\n  Rebound speed is halved so energy less by a factor of 4 ✓\n  <br/>\n  Hence height is\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     95\n    </mn>\n    <mn>\n     4\n    </mn>\n   </mfrac>\n  </math>\n  =23.8 «cm» ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n    <br/>\n   </strong>\n  </em>\n  Use of conservation of energy /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 0.800 × 2.16\n  <sup>\n   2\n  </sup>\n  = 0.800 × 9.8 ×\n  <em>\n   h\n   <br/>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Use of proper kinematics equation (e.g. 0 = 2.16\n  <sup>\n   2\n  </sup>\n  − 2 × 9.8 ×\n  <em>\n   h\n  </em>\n  ) ✓\n </p>\n <p>\n  <em>\n   h\n  </em>\n  = 23.8 «cm» ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    b(i)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  mass of tray of weights neglected/friction at pulley/friction at slider/thickness of slider/zero off-set error ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow vague answers like friction neglected / error in length measurement.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  large enough triangle Δ\n  <em>\n   m\n  </em>\n  ≥ 50 g✓\n </p>\n <p>\n  answer in range 0.210 − 0.240 «kg m\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept answers in g m\n   <sup>\n    −2\n   </sup>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n  <br/>\n  Frictional force is\n  <em>\n   f\n  </em>\n  «= 0.400 × 2.40 × 9.81» = 9.42 «N» ✓\n  <br/>\n  9.42 ×\n  <em>\n   d\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 2.40 × 2.16\n  <sup>\n   2\n  </sup>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   d\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5987\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      42\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n  <br/>\n  <em>\n   d\n  </em>\n  = 0.594 «m» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n  <br/>\n  <em>\n   a\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     f\n    </mi>\n    <mi>\n     m\n    </mi>\n   </mfrac>\n  </math>\n  =\n  <em>\n   µg\n  </em>\n  = 0.4 × 9.81 =» 3.924 «m s\n  <sup>\n   −2\n  </sup>\n  » ✓\n </p>\n <p>\n  Proper use of kinematics equation(s) to determine ✓\n </p>\n <p>\n  <em>\n   d\n  </em>\n  = 0.594 «m» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "i-3-2-evaluating",
+      "inquiry-3-concluding-and-evaluating",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the average rate at which thermal energy is transferred into the chocolate is about 15 W.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   one variable that must be controlled,\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the main source of error in\n   <em>\n    T\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   To determine\n   <em>\n    T\n   </em>\n   more precisely, the student measures the total time for 20 oscillations and divides by 20.\n  </p>\n  <p>\n   Explain why this is preferable to measuring the time for just one oscillation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare the internal energy of the chocolate at\n   <em>\n    t\n   </em>\n   = 2 minutes with that at\n   <em>\n    t\n   </em>\n   = 6 minutes.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student plots a graph with\n   <em>\n    L\n   </em>\n   on the horizontal axis. State the variable that must be plotted on the vertical axis in order to obtain a line of best fit that is straight.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculations using the data of the experiment show that\n   <em>\n    g\n   </em>\n   = 9.71622 m s\n   <sup>\n    −2\n   </sup>\n   with a percentage uncertainty of 8 %. Determine the value of\n   <em>\n    g\n   </em>\n   that can be obtained from this experiment. Include the absolute uncertainty in\n   <em>\n    g\n   </em>\n   to one significant figure.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Reads change in temperature to be 45 − 31\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n  14 °C ✓\n </p>\n <p>\n  <br/>\n  <em>\n   Q\n  </em>\n  = 0.082 × 1.6 × 10\n  <sup>\n   3\n  </sup>\n  × 14 = 1.84 × 10\n  <sup>\n   3\n  </sup>\n  «J» ✓\n </p>\n <p>\n  <em>\n   P\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      84\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 15.3\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ≈\n   </mo>\n  </math>\n  15 «W»✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must see either full substitution\n   <strong>\n    OR\n   </strong>\n   answer to at least 3 s.f. in\n   <strong>\n    MP3\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  mass\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  diameter\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  material of bob\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  « initial » amplitude/angle ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow statements about rulers, stopwatches, string, number of oscillations, constant gravity.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  student’s reaction time «in starting and stopping stopwatch» / starting/stopping stopwatch ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  it reduces «the random» error/uncertainty ✓\n </p>\n <p>\n  by a factor of 20 «compared to that in a single period measurement» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP1\n   </strong>\n   , allow increasing accuracy/precision.\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [0]\n   </strong>\n   for answers related to number of trials, 20 measurements of one period.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Internal energy is greater at\n  <em>\n   t\n  </em>\n  = 6 min\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  internal energy is lower at\n  <em>\n   t\n  </em>\n  = 2 min\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  internal energy increases «as energy is added to the system» ✓\n </p>\n <p>\n  Because kinetic energy «of the molecules» is the same\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  potential energy «of the molecules» has increased /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   T\n  </em>\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   g\n  </em>\n  = 9.7 «m s\n  <sup>\n   −2\n  </sup>\n  » ✓\n </p>\n <p>\n  Δ\n  <em>\n   g\n  </em>\n  = 0.8 «m s\n  <sup>\n   −2\n  </sup>\n  » ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "i-1-2-designing",
+      "inquiry-1-exploring-and-designing",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A transverse water wave travels to the right. The diagram shows the shape of the surface of the water at time\n   <em>\n    t\n   </em>\n   = 0. P and Q show two corks floating on the surface.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by a transverse wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The frequency of the wave is 0.50 Hz. Calculate the speed of the wave.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Plot on the diagram the position of P at time\n   <em>\n    t\n   </em>\n   = 0.50 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Monochromatic light is incident on two very narrow slits. The light that passes through the slits is observed on a screen. M is directly opposite the midpoint of the slits.\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   represents the displacement from M in the direction shown.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p>\n   A student argues that what will be observed on the screen will be a total of two bright spots opposite the slits. Explain why the student’s argument is incorrect.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The graph shows the actual variation with displacement\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   from M of the intensity of the light on the screen.\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      I\n     </mi>\n     <mn>\n      0\n     </mn>\n    </msub>\n   </math>\n   is the intensity of light at the screen from one slit only.\n  </p>\n  <p style=\"text-align:center;\">\n   <img 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+qdNn88+/Qxm3zkL5s6dBzho3r59u9Mn3oBTTjnF1UHXB9OgD5Z7zJjRcP3gG2DT5k2wa9fHjh47pHUQlz6xkyhGgZUGetgZ0MFi5yg7Vgb33HuPc9D4FFi3bn1moIe7CQ8458YQdKyjIAB3ffyxp6NKG8THjR9bDjrmeLdte891VGlwQqxBMLvJ1vRatWoJl13Wxdnksg1at27tApDpwDeoNOrDRvioA4N1cfFUJwqyGCZNuh2GDBmaGegtW7YM3ntvuwsJHEhdf/1gt4/36tU7M9DDAcfu3Xsc8I0BBvGHH17kti/xIeiFp2OlgR7r1OiY1j7/POx4f4fbyTdt2gwNG+aGQ9MGCRx5f/31145zPdMJow2C4uJpOf9u2aJlZqA3Y/p0eHjRb4B1auao2L/TCAkRenyZ586d6zor0dmyrplGfRB6mzdvhj59epUDgg0Kf3X1NTBz1qzMQG/y5Nudwezl5ZECNhhhkYO4IBFUDt+vcfBU6PiiXg4E+egHXxlB5XjN+MNjJFtfqDTQw1kSPjizw4bTyLkOhu/0fhuFrvGZhFb8wJU5WpzZtW/f3i0u0+k6Z8OFV0jKjxyv5qvT2UTOddddBxs2vFg+KxJhnkZIiNDjB1A9e/aA9etfdDazNJQ6qjTqg9C7++557n/87BSB0ab1WfC0M3tSPWnSp6SkBObPvzdnZjd48KB/hzhfz8RMjx9AHTx40IXew4seztGBoGcXqpUCeqJjZc4bHRWbOaUdeszR7tq1p7yo7GczZtwB1147QNkyTGCkA5otiHfoUOTsFKzvruexB+GNoU38WZqcqspufHlZ7k0MUWE7E8PladVHVl4Exltv/dn5751MQG/0KGdddeWKnGgNgzmL4OjaddL1w/dr1t62bd/mrt3LolBx6WMXM+n6WqWAHgvlsBAaazjY8fHhHTD+O02Q8CorGyWOvPEmGDd+fCagJxto8B0/aSdkMvjhdWDQY86WH5Tgt9Kqj2xmKpv9iY0qTfpceeUVsG/fXvjTn94qL6aqr6d15soPPpjfKTt+XBmFIuiFB2ilgJ7YmVnDkc2e0go9GSz27NkNRUXtoXu3K+DBBQtSDz1xHYkVmG3KwV2Eh5wQz25HL1zTUD02BiVBnbfoVBn0ZOHntEKvVu3a5Zu62IYPLCvTjQ+hpxl655zzUzjdOR+5YsW3UQMW1Rk1ajTgf3FBIqgcvl/z7VoVhQoqx2QwFx4n2fhCpYCeKs7PO1vcrs0eG04Vv6VroKZyWrdpI3VSKAPXYbDj/+53z0YKCRv6sCMXCDfe3jwM8ZxmmqHHdGChJwY9NgARj8EEhatYmbq25EfOrt273C3yItxEYMgalB85XufAwurDyopnVefMKckpKh5NKixs6EZwwsqxNQiW2Y3fUY6DD94f8CF0Xrm49MkGvoKVslJAj+8EvPNWzTxMYeS1ecQGJNg3CqoWSJ0U/h7DI3v37oPXnAwnUc6MbOijmlnjt3FkiyPzIue8W5qhx45YsDAmf5+ebHSeFkjwzhvPgmH0QwzF4jvnnnu289/PpGcO8fdp0Yf13dtuneAkbBiR0/TZEQCTM6xJ6iMOunm/I7YzpiBBLxjo+L+qFNBjDhWdqui8xd/ZGtnZgAT7xr5P9imdlGotia/ktEAcndFXXx1wdzuKDxvZjhk9NtXQE9eB27VrC42dncD4vPfee+7/4o5I9iTpVEUbs3Ywd95d0k03+D5CvKCgivT8apqgx2bcCxYsdPKkdstRle8TcUEiiByx7/L9VIwoEPTCw459Ie+hJ67BiDDCWSCG2vhsGmmBBCvrylXPuIdXceQqPqoQbRqh57Ulno3O77n7nlRDT5zN8TM9HJ3j2h6fTSON0Ltl1C0V2jxrL8OHDYPVa56TzgLTBD0WNVjhhDDFMKqfxA1J1o+4g5b3O6r11SBwVQ1+KA2ZPZAG/pKuQoPASAYFXo5s63YQOTKlbemD2WPYGoUoRwb1II1cV1ZxsCDT18tubA1GtemGjXrRiaU1vClbt+OhJ9v9mKRTVbUDPPzMNnqI70ycMAGefGoJiOuuaZu5srD+PCf7iui8+T7x1ZdfpTatmjjg5vuPan1V109ttbfATjwDf5j3Mz1Z+I9vOLLfpw16mLZL5aSwjclCtGmb6TFHpDpewQYnd901zw2vpXH3pmz0zUNP9ntbTsiWszt06ESyb1Waq5I5c9y8tKodnGnRB4Hxwx/+ECZNnCRNnMz6RP1T66cWemK/Ff2OmF3GZOBpq34ywK7ARcx76PGL2rK4uCx2nibo3edcc3PX3JKcrBNibZ9xxk/cdQ2WeimNMz0GtbFjxsFNN99cocEyYLiZ/mvVTCX0xIPPqAQPPXE3XprCgVgWbNcst6MKao8//hhgai/VIMuWUw0LcQRGt8u7O9c/DZBCjwGj3XntUgk92SY60e/IzhGHtRtrB5j5hcKbgblp7w91FRoERrKtv7wc2eg8iJyowpu6kTdzvHXr1qlwyJ6VKQ36MGCUzLlL6oRY6BC3oJ933nmphJ5s9ykPPdmsOy2QYM5uy5Yt8PTTv1Wu2WHf4BOCi+06DfqwPnvNr/q7d8/JnDcDRlpvjZCd6xT7qWyNWOcjbdWPPa+evi/l/UxPto2cbziydZo0QII1FbaxQJbBn73Tt08f50qS15SOLA36sLOSt9x8i3LkjXWVZujJRt4i9MR1GltOyJazW+3cF/jmm296Xl2DG6fwETMVpWXmWh4qH3kzXNixoxR62N42O0czpkyemsqZnsmyimyN2FY7oJleSmCsq1C/zpsBTQzViHJ0sfUgsziT+LuJPixBs+xMlQhG1TsmcnS2D6uPycgbZ+VVqhQ4dxwOSuVMT7bTV4SeCMa0QW/x4sVQu3YtZVQA28GLL72oTHicBn0YDGbOnOXeWC+b6ekiC6zvJKWPbBYn9lPZbFDXT23pkxIkRFKMvJ7pmW779dpFpbK6rvGFhQSTqzs3he+x63pU6zRpgB6bcXtdg4TAOHjwUGqhJ9swJEJPdGa2nJCuvZnKEa/iEds3yvE6F2oqRzeTCKMPCzPjGrZKDlurV60hJw09WdRA7Ke641Yy32SrfiKhTUo+mtfQU6W9Ejuc2ADTAAnWPmS3Eohth637qXbkJa0Pv/3aazcd78zStnuTbVIR04yJ0BPDVracUBhI8Gu7CGWvncAo59DhQ26Wf9mxhTTow44ZDR58vRJ6ut3CSUNPtjNT1k+9EmsQ9IJRNK+hp8pWIjoQcXSeNCT4qlQlnuXf0e24S1of03NTrL5wBJ826KmiBnxGFqyTf/zjH7Bz587yLf9pgARrK7L752QzPXbXpCxykAZ92Oa03r37KKGX9ktxTTNBJXUpbjCcZOOv8hp6YqJpViUi9LzSASUZ3jRJAMzCqLjjTnY3IP4+aejxaxO7Pv5YubGg/KokZ4PCuHHjlD3Ihj5+nbcqLZQ40xPh6FdO0PZmIodBz+sWBewbHS7o4N7eIc5qsWwmcqKuHwaMwsJCJfSwrPie7gaSJPTxk/NXjELZmvHrws/ZwFewUuY19FT35YkNxyvxa1AnxGAU5kZzk2wrTM6jjz1SfhGrWGYbTiiMPvwutLXPP6+EHr8rL23QU0UNROiJu4GTcKqqNjts6FBY8/xq6eWk4oBQlfAgaX34gaAJ9Irad0jdTfCqqIGsnyZ1E3wwnGTjr/IaerK4ucx5i40waUiwpqO6o00WksJt5rKbu9Mw0zNNAMyA0bNHL5h3992pmunJkhxgAUXosRkGWzdLGhK8ERn0vHYCswEh9p32zo0XfE7aNMz0+IHgQefuRa8Zi1eCc2aXJOpHluRA1U/FwRbN9MKDNa+hpxqtig3H616rJGd6JjdZM4jveH8HPPLIYulZvaQhzuc31XValmljwUMPpQ56WCDx7JoMejwwknCqKsNdcsnF8OWX/8y5aVw2gMLohCpKkrQ+/EBw7949Wujprt1KQh9V1EDWT8Wwuq7/2NInPFrS+4VUQW/VypVQdrxMaa3S0mNQVnYMqlevrnynWrVqUFpaCvs/2Q9zSu4EzNpwzrnn5LzP3uF/iJtZMK1R54s7O39vLseramVy+Pd1cja8tMENR6nSi7FvoZwX1r2gfFcnB7+jK6vJOyo5CxcudIs6ZMgQrZxJkybCOWefCz179bTSDlQfOXr0qJPjs6pTnqpGcrB94MynV6/cG93x3BueK+QfXl+/clSF0dWPiZzf/OY3cPz4cbcedHKeeOIJ52aPXTBp0u05r5rIsdHeVHJYn8AzetWqfcfTH6xevRpefnmDZ/9JQh9sH59//o8KtpXZ7aOP/g7z598LI5117qZNm2j7j6k+TZs0oTRkaeAyrq3hzdmqZ+eHO6FGjZpwar16ynd2797t3EhQCDvef99NrIu5HFu2aJHzPnuH/yFmnr/iiiug/zXXgh85XnaTyeHf18kpdraNf/rpp7DgwQWe1YNyPvvsM5h95yypvjo5+HFdWU3eUclB21500UUwbOhwrZzJTp05fhnumHGHlXag+sgn+/fDkSOHodlpzYzkoA6YLabHVT1y3p88ZbJzTnJGzs+w3v7xj8/ggfsfBL9yVIXR1Y+JnP7XXuNeEItZcXRyVq5a6aYrw1sv+MdEjo32ppLDl0snR6VD0vpg+8CneOqJ/2WPTJ+Pd+2CsWNHO9C7yck+c6G2/5jWD7Z7yr3p6Vbj+aVu6u4nTKc6o4eayOTw4Rw/crwsE1YfkzUJpo/XNvOk9eHDzDqbdO3axV2bjPomeD9hoFq1a0PXrpdJk37Lwpt8+MqPHC8npLObiRyW5m3OnBJls2VyVKF1Ezk22ptKDr+2qpNjctdkEvqo9hqo9PHTf2zpE4/HT0ZKqsKbuo6ta+Q80LxuFM8K9LBznO6kWfrd7571bB26beZ+7GYb4uKhbl0djxgxDJ57Tn2JKZbPhj5+nEOZM/Xs06eX9LqdrECPbRIaOHAwFBfnzjD4Omf1o9ph6MduUUDcz+BUpQOvbxL6qPYaeEEPz63iMoeu/9jSJxkcxSM1b6Eny23HTCprOHwGfRtOVTWj5KtVJ8fknBEvx29nkjk729ATHY+u044fP87zFoAkoLdt+zZlhhIZ9PjNFgVVqqTiUlz+6ia8jkf1pB16/CYhXf8xOfJjCxK6ds3ktGx5phs1kJ2BVOnDg95UTtjkDvHgJxkpeQs91e4zFYz4maGuM5kAzeQdLzlsZK47XMvL8Rs2iQN6LMTEDkTrOi3OQh55ZJHy5u4koLfJydaP7UO21b9Tp5/DrFmzK/ReNjNMC/QYiHGN2wR6qsQIcUNCdN78wM6kn+ouWI5bnwYNGiqjBl7QY8eRdP3Hlj7J4CgeqXkLPUwiXVjYUJpNXtZw+K3Br7/+uudWaBOgmbzj1WlNcwfyclSgN3EOus4UVB+/54wee+wxdwOSV9YQG/r4cQ7Lli9zQ6oy6GFu1J49c3eaXnrpZeWj+datWqdipsfqATemmIYdZcDwYzdTOTJXJ5MjgtikHaQNerh7dsyY0dL2rdLH9Jwr2tFW/cSDn2Sk5C30vBq7zMHzYTjd+R8TAJi8EwX0ZAfUTZwDQa9iB2R2mzvvLveXsvvlZOFNfJe1vyLnmMPuPbsTzyUaBHqyA+q2nKquvcnkBEkice65Z7s7VsVD9qy249YHd+GqogYEvXggmJfQ63r55dC69ZnKbPJZgB5zUjOcrfvXXjvAszUwfWQ3e9sKBwaFOH8w3eQbv3/5Zbh2QH/PmwBsQNyPs5taPEWZ4s0LepgLtWuXrqmAHtbDBx98AA8tWGg805NFDvzYzfZMLwj0sH7q1q2jvD8wbn22bdvmO4mEae5amumZQTMvoce276uu2pFBz09OPxPnbfKOl/M2vQSTl+Mn04PYPHQj76D6BEmYi2fivK6/iRt6WB5VMm8V9NhNAGNGj00N9L788iv3/KMpjMQBi02nqmtvMhiJ6btM2oHuPsq4obfcCZX7TRfIw94rYbvN+jHDRzs05O4AACAASURBVDbfymvoqdaFVB3ONHu7CQBM3vHqtJhodrOzgWLK5KnKBM2syTF9VOeSTJyDzgkF1UcMkenkoBPCQ9TdunVXZtKwoY8fZ+cFYRX0GOzTAj1c4/7hD38IkyZOMoaebBDlx26mcJW5Ti/osbVVk3Zw3XXXwYYNL0rXY21CwqRdY5gboacKlav04Y/91KpZy9Mf2KqfbOLMrNR5CT12CeamTZuhYcPCCpZQNVC2+7GoqCjxjSzMafa4qqcx9Pxkb49rphfkEszbJ98O3/1uXWVIysTZmToh3dbusrLjbkaMuXPnOSnIeldoSyrosez499x9TypmeiynKe7cNIVR2qCHx5D4DUUm7WD4sGGweo363KctSJi2N9SBnbkTG5OXPqwfeV3CbBPiZvjI5lt5Cb19n+xTLhZ7zVgYaLwupxRnV17VrusIXo2chceCQE8M65o4B11Zg8z0ZNvedXLQCaUJeocOHfbcTaqCHr9xJOmNLKweMLesH+jJIgdxQ4IflIihcpN2PXqUA8qVK5TXKcWtj9fN9TroYYi9ZYuWNNMLydq8hN4bW95QbjHPCvTYjem6Ri7qY3ojcxwzPdnhYBPozXPOxG3bthW2b98hbd4mzs5EjgmMPvroIyfh733KIxRZgB6rh+sH3+BchXSp8UxPFjmIGxJhoVcyZw7Mv19df3Hqs9XZxDJ9erH0YDo2dK92bRr5saVPSK6k+s/zEnp4t5wqbu4FPRY+wXQ/upuFdU41yMyIbymm4YwsQI9fW9XZDTstntXD2yVU977FCb0tW7Z4ZohRQY8/DF6rVs1Ejyzwl/Ne2LGjb+jxkQNbTtWkHYiDEuwTfGjQpB2kCXqvbNzo3pig2mtA0IuHlQQ9zs4sJJU09Pjbt3UL1yL0cMNCq1atcs4lmTgHnRMKAnFZ0m+dnHyBHp/2K2nosXoYP+5WaNu2rTH0ZOHppKHH7+o1adf33Xsv3DW3RDm7ilOf9evXw8OLfhMIemxAXjLnLgpvhmRjXkJv3Pixyi3mXs6bQQ/v6mruJHo2XfBX1YHOwas6rZ8tyqI+srNVJs5BV9Yg0JNthNDJQSf07LPPwpInnwjkHEzXXE2dHd6Xd9y543HduvXSam7Xri00btw453d4iJ3V4W23ToAf/fhHic70wgzmxHC5qd3CRkpEOTIAm7Zr9AeqIzBx6sMiGNu2veee+xQfG0eYbOkTkiup/vO8hZ7XOS+V42UhKbyw0U8YKG3QE88BmToHvDHb69EBS5QTFHphwkBRQK927VrKnaSq8CaWg13lc95552UWemI+V1tOVdeWRDmy9UXTdp026AUJ27PZOl7qO2TIUGU3tVU/qaZWyMLlHfQWLnwIfv3rO5ThDK8ZS9C1D9vQ4w/hvvbqa8ZHFrAcsqwsps7BNvRkh5tNnF2aoDd79iw4++xzlGmssgA9Vg+DB1/ve61ajBzYcqom7YBf0wsDvXvuvadCyJ/12Tj1+fXMX8POnX8LtEHLNBevLX1CciXVf5530NMtXJtAz+8ut6ighyNCnXMQ9ZHNrpKEHpaPz1mp0wc77Qd/+wAmTpygDEnZ0MfUOXhtMUfdvKCHsyRcQ+ve/YpEZ3phjuKkBXqy9WHTduC1sc20HdgI14Y5ikPQs8dRgp5gyyCHeG1Dj5+t6SAhQo+/LYIdzDd1DrZnerKbLnT6MCcU9DyT7fBmGOghMA4ePASDBg1KFHqsHoKcPxUPhMcJCX6mF2YwlxbojXZuV2jQoH6gpAtsTVN31Zit+rGHmPR9Ke+gxzIwqBaLvWZ6bB3G7yFe29Dzc2mkqE+YMJBt6MnODGYJeiUlJe4Wc1UOV91MLy3QC5NeT4SNLadq2g7YOb0w0MNzu7heLzv3Gac+XjlcsS3pBqcml0rb0id9qLJXoryFnmqxWAc9DEm1bt0GRo8andjuTYLebmcN7WHlzQY656CrY/y9zjksWPCgcznszPKeNmHCRBg2bHiFnucV3sRUZK+99irgTRm6dGc2wmeqw/Y2oMcGkTq7mTjvIPWDfWL37j3OrtjXy+vAtB14ZWiKU5+widSxHovad4Cnl53I3yl7bOljDzHp+1LeQa9vnz6wafNryoPNug6HnctvNnrbMz3+rJ1uRCzqw5/xGzRosFs0U+dgc6bHkuSKOSt1+rBOGyQxL18PpnJkMLrttlthzZrVzgaWc+GPf/y9M9u7H26/fZKbBHv27DtzqtsLevxRgaSgx9dDlSpVfG9k4a+1ad++vXawYKu9ic47zFGcNEBvzZo1zqBpiOcGO10/RRt89dUBWL/+RYJeCJbmHfR092dlAXp8WFDnvGX6iGFFXWfS2YS1L11ZeDmq5Ne6byQNvQMHDsAFFxTB8OEj4N3/frc8MwyCcOnSp2Dr1u1Qp06d8i6XduiFvRxZrEdbMwnTdsAGCywXLb8pyrRdF1QtcG8rX7v2BXcXJ//EpQ+e0Zsy5Xbl2VOTwQJBLwTpuD8l6Al2xJDUn//8J1+Xbdqe6RH0dju5N/1ftmlrpse+M2zo0FDQYwmbMRPKjSNHKnusqfP2momrnLct6LF1zbggIcphuWiLi6eV29HUbux+TVn6r7j0sQE93FSEM8a//OWvNNMLwb9UQW/VypVQ5mS/UD2lpcegrOwYVK9eXfnOZOdamrPO+qlzDUwv5TvVqlWD0tJS6e83vLTBdXQYxvKS4/UN9mHdOzJ99n+yH+aU3Ak9e/SCog5FoPsGyhLfufvuu6FGjRrOIdYhblFM7BZEjmhAXg6zI2a3Oemkk8pf1ck5evQoFBRUhT/+4Q9uPWBKOC85qko2lVOtWlVlO/nNb34Dn332GXS5rAss/e1T0LHjhfBf//VfOe/Pnz8fzmx5Zs7POl/c2f33Rx/93d0Ic+OIkXBas9NCteug+vD1UK3ad7T9RyYHnS1u7kK9WP142c1GexPl8GVghjSV88EHf3PrAZNONG3aJKce4tLnpRdfgufXrgGxP/CF0enD6lLWJ9h3TPVp2qSJ556FEExJ/Z+mCno4Mm5U2EhptJ0f7nSceU04tV495Tu4WNy37y+hx1U9lO/s3r0bCgsr3rOHf7By1Uo3wfB9993vKcfrG0yw7h2ZPjvef98Ng0yffodzjUgLZ/FeXVaVnOJpxe6viqee+F8TuwWRIxqYl8PsuMJJycU/Ojmf7N8PR44chnfeecetB/HvbenD5DQ7rZmyndx8y82wb99e9/fNmp0OQ51MGE0cZ8E/E5zzhP37X5vzM6w3fFhdjhh+I3Tq1ClUuza1m6gPXw9B2wHfp0zsFlQObyBezpEjR+DaAf0r9GtTOSc7A0BcTxs4cDB07dIlpx7i0mfJkiXw7HO/k7ZnViCdPqwuH3/sCXdQK3tM9cF24pVmUdlY8+AXqYKeLs6vC2fI8vPJ6shLDjvntmDBQmfjQjdlFevKin+oe0emj7iGovuGTI6YCUVnN5OymrzDy5FlhjH5Bgs31a5dG66/frB0DcSGPiZhrQ7OTBtzJK5du85xmk6o09ncsnTpb501v47l7cJrTY9tKsJZ+zxn9q16otSHr4egcvhUZCZ2CyqHtw8vx8blyLLjMygvLn1GjBgGzz2nvswWy6Kzm8oOKruFaW95wDalCnkFPdn9bX6hx2fHxws3VU8QGInfkjVy8XB5EDnimSZdZzKBkck7vBxZCjKTbzAn1KBBQ+jTp1ei0GO5M+fMKXF2A+9yN7j063d1zg5OL+ihvizZwYKHHkoEevyux6DtgP9GXJDIN+h17drFXVJ50QlzBoURQc8OivMSeqr7qpjJvECSNPREYGUZemhvfrddlqGHuzrbtGnlHltYsOBbgBH0KjqioHBVzVhkN7ibzIz49iYmzmay4oK4DeipjgHRTM8fDPMKeqrOIZrECySsYY0ceROMGzc+9pmeTeht2rQZMBWZDSdkAixejmyLuck3mBM6//zzoaiovfRckw19VM7u1Vc3OrO5X7oH0fGAOq4DFRcXl8/08Od4UJ09Ouj9x3+cC/XrN3CuS3ou8Ajfj93E84D8mc+gdsMdzZs3b3IzmsQFCV6OLBuLX+jJzvnhN+LSp2XLM6B585+EbgeqMK1tiPvDSLbezivoqTqHH+ixkBRuhsGwluoJMgMTvyVzQmJYMIgcMQwS1Nn5tRsvR9U5dfrwTkj1DRv6eDk7hB5uYPnwww/dDUUY5saf7dr1sbOut9b4nB7az8YIPwz0eBsGtRvfr+KCRL5Bz1aYm6AXHrAEPYkN+bWcJKCHMllYUAcJmUMk6Ok3Eemc98iRN8Lvfvd/y6sf1/JwhscfTMdf6mZ6BD15D9K1a75+8LiCLHemH4ir1ph17cDvjFLlL2xB79xzz4Zzz/2Z8qorW/qER0t6v5BX0MMwzFtv/dn57x1Pi+s63BlnNAdMufSYszU4i9ATY/9+nIOX4XR2Y3IaNGygDE3qvsF3WtU6jA19dM7BdBevDnoDnK32OAj5y18+UJo2Kn1stQP+Wp9DBw+CKscnU9C2PqrQpB85qiiQrh3YgB4bhOKVZZOnTAnVDnQZp2zpk15khS9ZXkHPJE2PSajokksudg9841b1uKEnZp7QQUKlj42wVtDwZtnx48qdlzp9+E5rw9mp6k/nHJiTxHOCXueZdNAbP36ce97QKwG6H+ftRx9bM37+OwVO/k6CXsVaMNkch4fjx40bR9ALz61QXyDoScyXNPRGOTc84H8mgCbohQ+fyb5A0PvWKklDj9+Mw9eVn8FCkjM9lrTbBvSuu+462LDhReUgSjeYM525hqJKyv84r6CHs5vOnS+BRx99NFR4E6H35Zf/hD/96a1EZno2oMeHBv04BxvhzV27dykT/Pqd6WHCgXXr1ucUy4Y+OueAs8y9e/fBvLnzPGd67dq1hcaNG+eUjz+mgTs/H3lkkTTZcVThQPZd8cxnULvxN3e0btU69pmejQ1N4m0RzEa6dmAKCa92bfO2DXZfqCpyYEuflHMrVPHyDnq6m4VNZk98ouE4w5uyw/U6SKj0sXEoOWh4c5OzvR07uqxj6vSxvWvPTziQf9f0iildeNNGomGTNitzdjaTFDDwFLUvyiT0VAe7bUEibuipLsm2pU8oqqT8j/MGeiwFWT5Ajz9cr4MEQS+a8CaeMzx2rAzucC6ADbOmR9ALVz+2zmsmCT3cfYqzbEwUHfZexZI5c2D+/fcprygi6OmJmzfQY4165I3OofLx6kPlJqNmNtNTjaZMvmHyjhhuknXMoNDDnay4ew9vmg4a1go601u2fJl0i7mJTdIy02NbzPGMXhjoLV++HMaOHQ3iZbq8bW3Uj8zZ8W0gbJiOratdP/j6WGd6ttLRsZ2sU50k7OxyZbSJLUh49VOMGhw8eMiRO4igp2dS5G8Q9CQmLikpca8i8UpnFhRGXs6OhaN42AaVw4e2bDhVE2AxOXPn3eWqKaYgM/kG74RU6zA29NE5O1vQQzl4SwG/Tis2uaj0EXe/hpHDvjVm9NhMQg9tLlsb1LWDsIMF/Hub0Lvv3nvhrrklykGULX0iJ0+CAvIGeiwF2dgx4+Cmm2/2NKkOJElDj18L05VVBZJ8gJ6N7PqqhuDlHPjbEfr06RNqpkfQCxfePO4cf1Hdeu4X4klBD2fJDRtiAvU+oWd66A/GjR+rHEQR9PQ0zRvoMSdfMucu8Lph2mS2kQ/Q43fuve7MNgqdHJxeYbqgcJXNXG8ZdQu0atVKmjVCJ4fvtElBrzxU7pyrurBjRyvQGzhwkJPD89tbv+MIb4pnPv1Cgi8jy7/5yOJHY53p4T2Cqk1RfvWR3b5uCxJe7ZpleDrvvPMIenomRf4GQU9i4iefXAITnctBvUJSOudtAlex08pSJQWVwwNj7949sULPK5yn04d3Qqqs8n6dnawXeTk729C7ffLt8N3v1pWGe22Ez/AbMn3EmU0Yu/HnFuM8nG4TerJkB1mE3vQZ0+Cyy7q4G2PEx5Y+kZMnQQF5Az2Wn2/K5KmhZ3roHPB7SUBPXAvTQUIF13yAnmodJozzZn3NyzmwWfKUKcXQpnXr0DM9gl5FD6dr16x+Nm3apNwU5bcdJAE9/taWpk2bWpnprVz1jGtQ2Zo5QU9P07yBHmvQPa7qSdBz6p2fJVVxUkfFFd48+eQazrU8Q6RXApnMfsVOK1uH8evs/M70+MPEOrvpzumhPklAT3bmM4zd+Fyk33xzxIrz9lqGYO1gubMTWOXg/eqTBPT4+zlr1appxW4EPT3YvN4g6Emsg51p9uxZcPbZ5yizmetGqiYOXuy0mEWlV6/eOWs/YeQwYBQWFsYGvUOHDsOUKbcrd77q9JFBT1wP8+vsooSeLiML6rPgoQXw8ssblKmjotBHth4aRk4Uzjtu6Mlua7A1M1K16yjs9saWN5SzX1v6hMNKuv86b6DH0m61O6+dlZne4sWLoXbtWsp1GJ3zDgI92awmjJx8gJ7sMtowztskvMnOt40ZM0Y7WDCZ6eEB9TXPrybocb5Q166Z81606GH3IuRFixZX8KR+24Es/6YtSKj0iWKGvO+TfcrNPbb0STe2wpUub6DHHHz9U+sT9P7dJthAoKioSOu8dU7IFOIfffSRc8bxPmWuSZ0csdPKQlJ+nZ3fmR6T2bt3H63d0go92ZnPMHaLYm3KZKbntbbuV58koBfFBiCCHkHPtYBt6C1btgz27NnjZjSRPTrnbQoJtmak2qkYRo4f5x1GDrMPOqEtW7Z4XqWjk5OP0Hv22WdhyZNPKAcCfp23CcRlDj6sHNtb75OCHp/8wdbMSNWuo4BeQdUC5dlFW/qEw0q6/zovZno8MMqcfIlhz+nZcN5+oac6k6aDhJecfIAeOx+2ffuO8p4U1nnjh7ycAzvP1drZuWljI8srGzd6ZviJQp98gN4Hf/vA8+iQX7vJ+pgtSKj6KTuGNK14urXzjY2cWz369OklXTe3pU+6sRWudKmC3qqVK6HseJlSo9LSY1BWdgyqV6+e885HH/3ddSp4X1Xz5qdDaWmpp1Xwglivd1DOH37/e3h+7RrpWRj8uO4bJu/w+vA6NG3apLz8YeQsXLgQjhw54tjlJqndeCOFkcO+g/qsff55eP2NzfDrX8+U1oFOztGjR6GgoKpj36ru3294aYO7HsafSVK1Az/6iHL4v8WQWrfLu8PPO3XS2g3XfjGnoupBOXt274H7H5jvtk++bnm7ydp1GH2eeOIJ+OKLL5xjN6PKPxPWbmiXX3S6CLpefnl5/cj0DisHvxmF3WR9zKsd2Kgf7IP44D14fLsOY7cPPvhbub8T25OpPk2bNPE8iuPpQDP+y1RBD1OJNSpspDTpzg93Qo0aNeHUevVy3tnx/vvujsHp0++AWjVrAu5W9HrwwKvXOyhn02ub4Nnnfgd4c7bs0X0D/0b3Dq/PKxtfcdfCFixYCD/4/vfLReq+4SVn5aqVbqhx9uw7pXbj9Qojh30H9XnssUehatVqUOwk9g1it0/273dAfRiandbM/XOmA18PqnbgRx9RDv+3eLi+b99fOrt3z9babfKUyTBj+gxlc0M5f3fWOefdPdcdfFzY8cIK70ahT/G0E/bn6yGsHPzmsWOlMGDAdeX1I1M8rBz8JtrtL06/fuDB+91+3bJFi9B24/0E+55XO+DbtczvmLQ3Vg9DhgzNaddh7PZ9xz9cO6C/20Z7XNUj51Om+mD/8srQ5OlAM/7LVEFPF8pThTP4RXucadgIb3726Wcw+85ZgbfeY7vwo4/qZmfdN7zk+DlvFkYO6wNYP2F3vYrhGdsbMlhZVWEg/nzbwYMHrYQ3MYOJzQ0ZMp8Tx1qozcTJuvaG+tgOC/OX4bKbFmyFA1X6sFB51y5drYU30b+pLta1pU/GueZZ/LyCHiZq1nUmUxiFPW9mKoetGUUJvZkzZ0Hz05vHknsTZ6s//vGPAx/1EDut7fNmptDDGzZM0reZ7N5MAnps5y4fFva7BiZ6DoTep59+6s5Yw94Lp+un2A6iOOohwsIWJLygh5mdbF++S9ALjmWCnsR26Bzihp7s4KwJOL3e8ZNDUueETMpiI31bPkNPlXQ6LIywbuLIZFNcPBUeeWSxlctQde2NoCd36sxusvOrsnYg+4pJewuOlPT/ZV5Aj0/UrOtMps47bDotUzlspic7j2byDYKet3NQdUHVCJ8Pp65f/4I2vNmp089h1qzZOWLat29f/m/+kPUpp5winQGbOCFdu44Deny4PMszPX7wEeVMj49SFDipAG0m6lb5C1v6pB9dwUuYN9BDE2ACVp1zMAEJc0JhbgvwIwcXlAl6Jxqx2GllN15HAQnWhfzeQ9ihQ5ET6uuZ0wMxnMUepo/NHJKy7s7bLarbKeKGHuYsreqcSVu3br3UwwVpB2I/swUJmd8h6AUHU5R/SdCTWDcJ6KnCFWEg/vXXX0Pr1me62+8HDBgQ+ZqejXsIZU7I5hU5IozEGYtf6Jmu6cUJvajuIWQ32ePRi3Hjxin9UhAYiR/DdhBFou44ocfshevDtmd6LNTMXzgtGzTKKsmkfqKETtLfzgvo8ZdDhoEEqwweeqp1GJtycKanWpgOKwe/S9Cr2M1UI3zeKZo4B1Po2bwiRzfTiwp6/BoxQS+3FmT9lB9A2Z5Rqja+2ZKTNJiilJ830GN334WFBBqbObu58+5ybS+7t8qmHILet0086ZleVNCzeRmqDnp43nXMmNGwadNmN1mzOJjzOp/l1a7jhl7/a6+Bbt26KxNEmAxKRH3EDWO2IJEU9PiUajTTM0MlQc8jvJkP0MOw6TEnNdsdM+6IPLw5bOhQN3uK2BF5E+sGCzInJIZ+gzg7WfhMtrEgH6CnmgWEtRs759azRy/nsH3FW7ttwZU5b681dX5w6gfiom2ihB4fgrQthw+dyjZOhd1oZIaPbL6VeeiJl2XqnCpWk+6duGd6ZcePu7n0Hn54EVx2WZeclqQrq04fdOJffvlVrNAT1xnCQk9chwnrvL1GxHyY2USOaXjzwIEDMM3JaCLOvoI6by+IRwU9lMnC5Qseekjp8UzspmvXCImsQ49vt7ahpwph25KTTZyZlTpvoIeLxTji0XUmHSR4J7R23Vr3XJLMiduUw6DHdPADCZ0+BD15R1A5h6ig16BBQ2WSYFuQYDNX1ZlPG3Ligt6aNWtg2LAhMNVJZ8eyp4g1GUQfMcOPLUjI/EEc0BMHyrb0McNHNt8i6HmENzdt3qS8rDEr0EMHuGbNanji8SWRhzevvPIK2LdvL/zpT28pe4PObrJOyy51Zdc8BXF2JuFNttuVrQ+byDGd6cUJPdXxFxN9dPXTsuUZcNZZP3XS8y2PdKaH2Vgwn65sIBgmjCqGBW1BQmY3PixvW47YVplNbMnJJs7MSp156IkjN12n1c2M+JleXNDbtn2bMvQVVh/+Pi8/ax+y5qMryyWXXOzePrF27Tqr0BPDdTact8w5iCEjEzmVDXpdu3Zxbyh58cWXMgk9sY5tQULWN/ioQRRyZDu+bckxw0c238ob6LEQpM4x+4FelDCKC64EPfPwZpTQu/TSy9wzk2wWyZfKBK66ds07O5xh4K7NRYsW5yhvQ05c0HvwgQc8E77z/cfPYC7foCceqSLo6UFM0PMIb0a51hYX9BYvXuTOIvHKom7dugWegZkMFs4556dwupPYesUK+XVMJt+Qddq4Znpi6MsEEu3atYXGzqWe/MMfceH1UZ3FNJHjB3pRykHoYWjtNefqLdVjQ5/x48e512J5bYoKIkfMVmMLEmL9iOHHKOTIwti25OjRkd03Mg89seJ1zsHE8bLOFBf0li1fBjgCZWtWfHMKqw8b2eKdZJiVRfWElYPfRWeLd3zNmVMSWI6s0waBkU4fW3A1DW/iFvIoYRQXXKOCkdhgopQTddgRdYljRknQCwZegp7BTC+KowT8TC/K84D5AL0gYcc0Qg+v+2nfviiSsCODXtRh1ChhxHfFKOXkE/RwRsnnJqWZnh6EBD0P6LU880zlOozOqfqZUUYJPRbOwTvQxo0bH3gGptOHHVweOHAwFBcXB5Zja4OJrn5kcsR8hibhMz8zvSh3VTJ9ot4lGiWM+EYTZRg1DujFsUtUdh6ToFcJoMfn3dQ5ZmYOnUPknV1UOTH5md7U4imgunZGV1YTnW2EHXVybM0ovaDHZtwmMNLZTSaHQenhhxc71wXNhKVLnyrvQZgOa8KEiU6IslFOr6ps0Itqg4noqqLcMBPlUQKmRxyZXwh6esDJ3sj8TE+Eks7Z6Zw3D6Moc2LycqK+wijr0ENb+T00rmsHXtA7fPiI21e6ONlxzjvvPDi1fn3noPRQOHDgK+fM41qoU6dOeV/yCz0xHCW2N1U3NtUn6pleVOfn4oRelIfGk4Aen/aPZnp6EBL0JDbiZxLt258PrVq1qrAOo3NCfuAaB/SuuOIKeOCBBYHDjjp9WDgn7IYZW5lSdPUjk4MzgP/931L44IO/wuzZd0L16tXLL5F99dWN0K/fL93Z3rBhwwNBL8r0YEwflthalv/Uxgw5LuhFeQg+DuiJoXJbMOLbtSz/pi05enRk941MQ0/Mu6lzzEHCm1Fc7srKwV9hJDu/ZUsfG4fGdWWxdR4wSeh53du3deu7zpGPy13gIfjY42emFyf0ZFv9bUAvqvRgoguNMt0Z9mk247YFCXGQFce9fbL8m7b0yS7S9CXPC+jxqYp0I3yd8xbDTVFD79Chw266JdkOUZOymryTD9DjZ9w2nLfMOXhBD9f3brvtVncG2K/f1ZUWemi3KBJBxwm9KO+5Y3rECT3edxD0CHpSC+jAyDtVflTIf0z3DRMYoRwGPVWOQRty8gF6fq/80dlNdA6yXIZ8O8BZHq7pvfpq7qFsPzM9ds/d2rUvuCFzccbvJ7OI2LCZPnhDu2zdUBzMqVyDid2ihl7UVxjFAT3xOixbMBLrRxyo2ZKjR0d2fOpm7gAAIABJREFU30jVTG/VypVQdrxMac3S0mNQVnbMXWvBZ8NLG9z722bOnAUnnXSS+zPM/Yi5Ab0e3Tu8HCZj3rzc+8N03zApC8r5+O9/hwcevB9GjrwZmjZtUqHYNuSsWfM8bNjwovIyTpOy6t5ZuHAhHDlyBEaMGFFeP7I60Olz9OhRKCio6tRj1Zw/x+/jM2TIEKd+c9uBDTkfffR3mD//3px6YHKeeeYZeO+97TBi+I3OppZTc8TNnz8fzmx5Zs7POl/cufzfvD4yGfiiTX0wAw+zk2gXW3KmTZsGZ599NvTq1UvazcLKYXa6ccRIOK3Zacb+wLQd8H1a1d74bwXRBxO9d7u8O7C2kDY5TZs08UxA7+lAM/7LVEEPR8KNCnO3hPP23fnhTqhRoyacWq+e++OVq1a6qYpWLP827RUu5BcWfntbtKx+dO/wcmQy8Ju6b5i8g3Le+vNbsHzFMjdN2A++//0KxbUh59FHH4Xn167JsZMoKKycYifVGQ42RoxwwPDv+gli+0/273fgeRiandYs58/x+/gUO1fNiO3Ahpwd77/vhplxI07LFi3cT6KcP/zhD87h37Uwbux4dyen+EyYOAH6978258fs7/GHvD4yGUwO367D6LNkyZJyO4nfsWW3Bx643x1cYl3InrBymJ1wkNGpUyepjDB2W7tunXNl2CK466557gBN1t54oUH0wdkwZifqcVUP91Oqdm1DDm5S63/NiTZoKgf7l1dkQWn0PPhFqqCnC62IazmyjQG6b2Cd6d7h5ag2H+i+YSpny5YtnjkGbchhN5qHudxVp4+te/tU4Rl+N1wUa3qyTQFXXfVfzjVJbzoDkoecTSzdpd3dT3hTzPvIPmhTn6lTp7gXEYuRCZRlS87tk2+H7363LvA5RnnjhJXDdiVi9GPcuHFKNxtUDl/XBVWqALuHUCXIrxxZqNxW2DGuDTN5wDalCpmGnmy9zQYk+EauWoexJScO6E2aOBGWPPmEc+VP7loS3yrC6oMptlq3bgOjR40OdW+fyjnwgw+/TkjW+kU5/Pdxpyaey/v8889hWvF06NO3r7ID+YEefkSW7MCmPhhWU+0EtiUHoVe1akFO+iub0GN1geDGnKW2YMS+EzX0otxVSdALj+PMQw9NwI84wzpvcUQsa8C6WQ+rFl1Z0AmtXv0cvPnmm7B9+w5pbeq+YVKWkpISd73K60LOsHLYFnNMam1jQ4bo7OKCHm5U6datq1sXN1w/xA1peulTGaGHZ/VwLV0VOQgLV4Le+UrPLoMev3HJ1owyPFrS+wWCnqRu+E4bNfQWL14MtWvXUoaKwsII1csH6LErkjZt2gyvO9vmC5374mzClYVP8RzeggUPKnsshjkx3MmeNEFv67ZtzppkMUx11toGDRpcQYewMMIPolPNOvT48GORkwDcdngzykPjoj+IKt1ZepEVvmSZhp6Yd9Nk1mPyDu8cVOswNmCEcuKA3v3ODsM5JXfC3LnznB13va3PKPkt5n369LEKI1lIau/ePdahJwuVm0DCL/TErexiZEHVpXXtDWH0ysaNnjN6E31M5EQNPayLTz/91NlJe1Mk4U20MQszRwG9KHNiEvQIehXWL3Sd1i/0+A6CayWmoUtTOfPn3wc//vGPI53pobPzWusxKavXO2w2jBsPLuzYMbPQQx35ULkJJPxCT5bswESOrl3HCb3169fDw4t+owyXh9UHbXTw4CFntjqIoCf4eBX0WNo5Cm/qoZj5mZ64aK9zDiYOXuy0ss0HtuRECSNW/QS9ih1BdA5BYZQm6DEYqTYshYURC29GPaOMA3q48Qp3ufbp3cd6eFPMu8nsZjuMit+N6rJaPTqy+0ZmoSfLu2kCNJN38hV6uDlEtpXdxCZe77A1jPHjboW2bdtGMtPj12HwHKbtNT1ZqNwEEn6hN3jwIGfT0nbHWb1e7jVM5OgGWXGstcUFPQQStqPu3a+IbKbHBjljRo+1Dr0obzQX2wFBzz98Mw89cUeizjmYOHjRCcnWYWzJiWumF+XaIb/bzjaM+CbNZtxRQU+MGpjAqFOnnzt3783O6Xnt27cv/7fX0Qh+Jm7DblGvtTHoRb1hhl2FhTtnoziygHrkG/RY/k0Kb+ohSNCT2Eh0drKRmw3osV2VqmTTJoA2eSfqDTOVGXodOhQ5jrlnTivi137jhN6ChxbAyy9viOwoAR+mi/I8YNahJxsk24KRzO9EcRO8Hh3ZfSOz0GOOVrw3zAaM4oZelOfnsGky6B138pquW7de2lrD2C1O6A0cOMg5BN/aanhTdSzFZKbnN7wpa7cmcnT1g0416kwpcUCP7QQeOHCwU8+tIpvpIbQxLP/I4kethzdlewAIeumBZOahJx6Q1TkH05kRH26SrcPYkBPH+TkGvSgzv7CZcG9nU4CNMJ1qwT8qOXFCTyYri9CLKt0Zsw/mQK1Vq2Zk0OPvf7S9wSQJ6OFgsLh4mnuO0oY+6UGU/ZIQ9AzCm1Hl+Bw9ahQ8s3IF4IHrhs5ha9ljA67oVAl6udblnYPsMDEbLOgg7nemFyX0Ro8ZDQ0a1I8sJyY/08MrjPCR5d8MA/GsQ0+Wd5O3WxRrlFHcBG8fNen5YmahF/U9d7yziwp6cSSCppmevLPx0Atzo3maoBf1PXdxQI8NQOKa6T3+2BPwxT+/sDajVEUNbM3AZINggp4/oGYaerKRpq2ZkQx6/PqhDTlxQu+zTz+D2XfOUh4oDqMP2+5ve61NbMpsHWbatOlWw6hxQo+tWfGpwsLMjJiN4rrRPOrLaqMMO/LtKaoZZVLQY/k3bcHVH0ay9TZBzyC8KWvIYSDBRPbp0xveffe/YceOvyhbjQ056FSjvKE9yqMEvGGi2jAjO0wcVXgTvyuu+WQRenj/ItaHLOl0GH2yDj1VqNwWjGT+IIqb4LOFMX+lzSz0ZIeJUXVbkOBnelFB75JLLnYv41y7dh1B798W8HIOUUFPdiQla9DDM3p4Ca7X8ZcwMOJnlLhRgqCX22WZ31FFDQh6/sAU5duZhp7s3jCCXsXmgs7u5JNrOHfEDVHetRbUbnxC7irOhZy6jR86OSbQmzlzFjQ/vbm1zC9xQ4+lwGLZcWzAiEHP6/iLDTmsfhj0xCNDpoMFVTtga/V4j6GNXYgqOazdYlLrpk2bWlvTSxJ6WBc73nvPit2ihE7S384k9FqeeaZzhudMqQPXOVWT2aDoHGTrMDbk4MHm+vXrw4oVz0Q+00MYeW10CKoPPwuO4vYD2TqM7cTWssPEps7b70YW/K4IWRswiht6tWvXhuuvHyxdIw6jT5SZUsROFsUheFWoPMqZXhSX4iYNpijlZxJ6ZcePQ58+vaQdLqjz5o0s67TiOowNOazTzZlTQtAzCG9GdZuD7FyVKfTatWsLjRs3zqk/fhu/zNlFAb3i4mJ45JFFIJt5scKFgZEY3mzQoKGyD4aRk3XoqaIGBL0oMebv2wQ9ib3yFXq3jLoFWrVqBYsWLa6gdVCIr1ixHMY458Oiutw1jpleGOilZaY3fvw4ePrp3ypTkJlCXNcOmPOOCnpR3n4Qx0wvSejhem7dOnUpvKlhYCah99WBr5ShFV2nDRLexL8R12HCymGHWPv2/SXENdObO+8utznIDhQH1YdfwwgzwhdnErJDvGwdpmePXs4sw85ltZdeepkyVG6iTxDoiSEwEzm6+okbemHtptInystdRV+IYe0qVQqs3tunCpVHOdNDvWzbzd/cKVtvZxJ6mzZvUm6X1jmHoNATR3Bh5fDnhAYMGBBLeDPr0GOdu9vl3QFt1u788wPbzdaMJQj0xM0ONqDXq1dP+NvfPoC33/5vpU1syOGdd5gZchqgF8W9fSqbEPTSA0aCnmF4Mx+g9/Cih5173DY597ntsBbeZAfG8Zu2naqsm6BTIehVtEzXrl2gtLQUXnzxpcxCj98J3KiwkZUwndfgNJ+gZzssnB5E2S9JqqC3auVKKHNuAlA9paXHoKzsGOAN0XiFiuxCVDz3hp3f69G9w+RUr169/DMLFy6EI0eOODtGR7k/031D985HH/0d5s+/F0YMvxGand5MWdywcvDDTJ+Nr2yENc+vtmo3tAs+Q4YMKZfD201UTKfP0aNHoaCgqmPfqlKbIGQ7d74E8IyjDTkf/PWv8PCi3wDuCG3atEmOTFk7EAuF9xQOGjRIWX8yfd5+621Y8uQTgJfu1ju1nhW7YT3gkZEbbrhB239s2A3r59e/vgMKHTj179/ft91k7YD1CawLzCHq1Q74dh1UnyeeeMJZA90Ft902Qdne/Mj5/PMvYPr0YsDwe5GzM5t/dO3ajxyZf2P98LrrrjOyW9MmTTwjJfZRk54vpgp6uCkCR3iqZ+eHO6FGjZqwcOFD7ivFU4srvIrnh/CSUa9H9w6Tc2q9euWfeWLJ4/Dcc8/BiuUnjhfovqF7Z+Wqle7Ggzl3lrjnhFRPWDn4XabPpk2vuTKZDrzMoHKKp52oA6wLmd1EvXRyPtm/3xlcHIZmp8kHAuNvHefA7v+DESNuBL5+gsp55513lDYx0WfylMkwY/oMZf3J9Nnx/vvuQXLML9myRQsrdut/7TXw05+eDWNGj9H2Hxt2w/rh654XamI3WTvg7VK3bl3PdsC366D6sD44e/adyvbmR86hw4dz6pW3ia5d+5Ej82+sLoYMGWpkN6w/r+UBTwea8V+mCnq6dTIWPotibYqvR1mYTlyH0ZUVv+f1Dp9uKczalE4O/p7ps237NpjmQEp2q0NQfdq3P798R2gc4U0MSX355Vdwx4w7rKzphc0sEmRNT8zwY8NuLOy74KETA0LZY0MOvzYV5lC/rL2xncBr174Ahw4ejDy8yWf4sXH7QSPn6IrqKFXUa3rs+rN77r7Hit0yzjXP4mcSelFsva8M0IvifCO/cG/bqcparm3obdq0yb1MVLbOaaJPEOjxa1e9evW2shaaBPTQ0crWiE3sFlcOSZOBJy6T2IBeQdUC9/gOQhuPBvFP1NCznbOUoBeTBXSzDdaZosgsooMePwrFBq0rq24Ghs577959MG/uvFAzFp0cfqaXD9DDNb01a1bDE48vCWU3/rYAtFHQe+GCQA/l2RwsMIhe86v+8OuZM2Ob6YW5nSIN0GPJoXENcdy4caHttu+Tfcpd5QS9mCBiICaTM70koCeGpGxAz0aYzg/0ajmpo7p2vQzmOqDFGQb/BNGHnTVk1+QEHeH7GRHbCgvbgl6nTj+HWbNm59iyffv25f9WOTub0OMz1dhw3n369lW6Dlv3EMraG55fxMElzrqjhgQqaNtuSUJv8eJF7tLFggUL4ZtvjoSeuRqwI7OvZA56LHEyfx9ZWOct1p7MeecD9HDtUHWOKAj0olib0jk729CbO3euMkuNCcQxf2rPnj1zmhAmQmePF/QGDhwExcXTQoc3bTtvU+gxRyuuEZvYTdbeorgM1atd27bbiy+96AB7uwPT1ysAQdeu+YhMkDV+2/cDZpZoBgXPHPSivBeO2UvWacV1mCCQ4OsDz9W0bt0GRjsOMkgj9wN6Xp98gR7eeP2Liy5SNnFd/TAnhOFS2W0dpk4oaHiTd/BBIcGUZ/CZMqUYBg8eHDpMZwo91YWpQfWJG3q2w8IrV53Y2S0LlRP0DGgU0ysEPYmhVZ2WB4bOqeJnvd6xdchaJ0d03igXF+3FM45B9BEvzAzq7Pgq0DkHW5ls8gl6tnchJgU9PoWXrh2YDkp07drmBqAkocdughk4cLAzmG5F4U0PgGYOetu2bXezycu23ZsAwOSdfIaeapu5zjnI7BZFOi2ds7MJvTfffBPmlNwpXeM0dappmOklBT0x+uEVKRF9kKy98YNKXTswrR9du7YJvekzpsFll3WRJn+IQx+bVyXFNOlKREzmoLdlyxbPbPK6Rh4WemwdJowcPqxy5ZVXxhreJOid6GfohF7ZuNHNiqO6eNVk5hoUenzSaRM5Xu0Njw68887bbmYRG1vvTWd6aEdZuDyoPklB76KLOsNjjz0eOiw8bvxYZaicoJcI36RCCXo+wps8MMJAz+a9cH4hjjrs3r2nwmJ7EH2iuC1A5xz4MA7eIad6dPokDT2bt1NEkUNSZVexfmxBj+0EZuurunZga6b38593dDP82MhZmjT0MFEEZrLBtHhhBz/pQZT9kmQOesuWLYM9eyo6bWYanbPzCwne5PkAPdXZqiB2i+IyVBNnZ+PyXZSDt41jLlLVxasmM5agM718gp64RmxiN7G9iZtiTNpBEDmiC7WVqLtkzhyYf/99gHfaYYhTfOLQx+bgxz5q0vPFzEEPE/zWrl1LukPKBGgm76g6ky3o8bvt2rRuHWt4k6D3bXiTQW/Xrj3SHmniVINCj092sGPHe1DYsDBwO8CdwG3btoXu3a8IPcLXDX5E5y0Ll5vYLV+hpwqVE/QIelIL6DocdqYkoceH83Rl9YIrv/EgjLMznd3yTojJFjcCBdFHvDAziLMLMiI+44zmgAfAH3OOLYQJbyYJPX5ms3fvnlDQs7mBQdcOooKeuBM4Dkhg2xkwoL97SP0vf/lA2ZZM2vWM6dPd2zqShB7zTzbSqqUHUfZLkrmZHp6rYptJZObQddowMz1+lhRGTpLQU52tCqKPuJ5j4hx0ckycHV4rhFfTrF27LhT0bp98O1R18iWuW7c+9plePkFPXCMO0g7ECIRJOwgiR6xoWzfODx82DFavec65qkgeNYhDH5u7eO2jJj1fzCT0VIeJTYBm8o6qM9mCHsuIPmbMmFAj/CAzPYLet+FNhN53v1tXGSo3cart2rWFxk52ff7hDyernB3bwYuZherUqRO4HXy7Keom94qqsBsY/A5KZOFyE7uJcgh6396GEjRZBbPhzJmz4Fe/uibUzDU9iLJfkkxB78knl8DEiROU24JNgGbyjqrT8iGYXR9/DF5bu73ksHWQ3r37BHZ2fFPQOSpeH9XZKt03RH3YLkp+ABLE2QUJb+JM7+jR/4E//nFjqJneaCcjPl5WKsuggR820Sfomh5+n82U8X60oGFu2+mndO1AhLgt6Ik7geOYGWEd4A5gr3O/pu2gb58+sGnza4nO9GymVbOPmvR8MVPQKykp8TxXZQI0k3dUzo6fJWUVeryz5XNE6pydaDfZjNEEEjo5Js5u2NCh7q5LVSjJpI5RjlficlNnR9Cb594swK8RB2kH4oYYk3YQRI7oenFdFy/0Va3F+WkHdevWUQ6g4tCHoGcGVoKexE5RQw932+G25qKiosAj/KAzPYLeCculAXo22gGbaWEu0i/++UXs4U1bgx+CnllkwWvQaDOXqBk+svlWpqA3aeJEWPLkE9JLGpn5dTMJk1mACnospIfrMLVq1goc3rQR1goDPeZs+fybfu0m3i9oOiLWyTEZEduY6a1ZswaGDRsCqts6mD7f++73YMrUyXD11b9y3h9eoZeHmenZCHPbvjzUb/3Ygp64E9ikHdic6anO15m26zPO+Al069ZNmoKMDbJ279kd+aDEVlq1bOLMrNSZgp4NZxcGevwsqf6p9TMLPdnZKp2zE+1may1HbKYmzk63Pdykjk3CWk8uWQKLH1kMO3f+DSZMmJhK6LG1sBXLn4E4nKpYP7I14iAwEncCm7SDIHLE9vb7l1+Ga51jC16b40zkqG4vYfLi0oegpwcfQc9HeNMG9HgnUaVKlUTCm1mHno21XR30li59yklEPRcGXDsASu6aEwn0bOzixbrEFF7TiqcnAj1ZuNwEEuIgKyno2QpzpwV6//Ef50L9+g3g2WefU3p/k/rRoyO7b2QKeldeeQXs27cX/vSnt5QW9ztjkX3Iq1FgfrtWrVrBJRdfEmimZ/N8lmlIV9QHne3mzZvcG6pNvyHOnmTfMOlMuvoxGRHbgB47nyW7rWPr1nehX79fwg3XD4Ef/ehHgDkVo5jp2TivyQYwY0aPzSz0ZDuBTdqBrfYWdkMT69NeIdK49LGVVi27SNOXPFPQs3Eo2ST05dWZmJPpcVXPzEJPFprUwUi0m630U0HCm4sWLYLp04s91+N0+ngdSj5w4ADgf1u2vAHHSo+lGnpsLSxJ6IlrxH5hJFsXjAsSKCfs0RXV2Ve+bcelD0IPZ/6vvbaJZnoKC2QKeh06FMEpp5wSKhNH0tBjwMEkx+vXv5BIeDPr0EOn6nXjuUkdjxgxDJ57Tp1BA7+BcqKEno0crCysVtS+KLGZXtjE40lDL2ySAjGFmszXxgU903atOxeqny9l941UQW/VypVQdrxMaU10dL/odBFc4YQ5VQ+mpyotLfWsEd07pc7ovqzsmHPlSPUK31mxYoV7d9mdd84JJGfDSxvcM2a4c9JLDhOsKyu+p3tHlPP2W2+7u2DHj7sV6p1azxWl+4b4zqRJE+Hss8+BXr16ldvIhj5Hjx6FgoKqTnmqKusQ5Yx3Qo7dLu8OnS/uLH1Pp8/ChQsB11RvuOEGTzmf7NsHd98zD/7P/7kKLrywY4V358+fD2e2PDPn53yZvPT56KO/u+dObxwxEhoWNpS2N107wD6BdujolM3Ebqp2rZPDfi/TB22Jz5AhQ9z/9dsOZO3RtB3Y0AfXd48fP15efrGSdfrwfVrVmOLS56UXX4Ln165R7iJl9dO0SRPPBOfZRZq+5KmCHm6Db1TYSFlqjL1fecV/wjXXqFPs7N69GzDDhdeje2fnhzuhRo2acGq9E0Dgn5WrVrqX2M6be3cgOU8sedydYeBuOy85TKaurPie7h1Rzo7333cP5E6ffge0bNHCFaX7hvgO1kXfvr+EHlf1KDePDX0+2b8fjhw5DM1Oa6asQpQzbVoxnHXWT2HsmLHS93T6THb0d/wc3DHjDk85X335Fcy+cxb0738tXOHcYiA+E5wMQfg7/mE2xZ956cPqYcTwG+EMpx5k7c2rHXz+xRfusYuBAwc7A5Czjeymatem7U2mz4KHHoQ33ngDHnv0xEWsftsB61PYJ9hj2g5s6IOblnAdl5VfrGOdPrLyi9+ISx8clC9fsQwWLFgIP/j+96VtG/XB/uWV7kzZKfLgF6mCntc6jK3LQ7HOdOs9XmsSLDRYMueuQGt6bLcdJjn2u/aham9+9ZGFk3TfEO1m6/JQUSfTMFDY2zZatjwDmjf/iXaXW5ThTf4w8ZVXXun7aiG+HgucWWsSRxaw/sRwud92LQu3m7YDXZhO165RTtjbNnBT18aNG52bGv6qREJc+uh2JWMBTeonD9imVCEz0ONzDA4YMECpkK6Rh4UeO5Q9dsw4uOnmmz3bhqws/PqHSeOLQh/xlmoTm/DvqHar2dDH1DmEhZ7peaYooYc2ZeXANu030XC+QI8d3di8+fXy/mTaDtIAPezTX311wFmjf5GglwFaEvQkleTlvMvz2914k7Orb7xv6PGZJ2xAwgRYMjniTM0PXFW71WzoY+rsli1bBnv27HGOXnzrKPnK0OmTD9Dj70bcu2dvYjM9cSOH33Yg2wls2g5sQO/ZZ5/1zPSk0wf7dFnZ8VRAj2UaCnvYPgPsClzEzECPzzH4i4suSmymFxZ6PGx0nckEaCbvqKDH30uogwQvR7VbzYY+ps5uy5Yt7tqqKum0lz6sDq8ffANMnjJF2Zai3r2JgnG7f7Nmp8OkiZN8z/T4sKCp3WxAQgyjioMgv+0gaei94oQmcUORKum0Th/s0507XwKPPvpo4jM9W4ftAxMlA3+YOejhYrffMJBYDzoH79XI2dpi925XwIMLFvie6aUFeqKj0dmEh55sDQZ/r3MOJoA2dd42oDdy5M0wbtw4T+jpIBEm9yYKxnr40tksgxtq/LZr/joeU7vp9NG1A5kcMdzttx1gnxAvho5THxvQ0/mDOPXBTWZeF22b1E8G2BW4iJmBHm7NxspKGnpsHUbXyGUOnr84dNCgwVYgYQISWSPPOvS2bdvueQ+al/Nm67J4ZOPGkSMzCz2+DuN0qrINM2EGc7JNUXHqs3XbNs9kByaD4J49esG8u+9OxUwv7LnDwDTJyB9mBnphRsQ2Z3phoBc2DKRqU7rRuazTimnEdN/g4SpLQRb3TO/QocOe96B56cOn/wp703jYmR4O5tasWQ1PPL7E90wvH6An21SFbSlO6CHEvZId2Fjjj1Mfgp43fQl6Evvopv8mC9eyGViaoCeGKP1AT7YGQ9CTdzSds+OvBvIb3sT1wPZOJpZFixbHDglxsMCnItP1H75vqDZF6exmu73lE/TmOZf6btu2NSe3Lt86TeonI5O2QMXMDPQwBIIdfPSo0b5HxLZneiZblGXQ43fbNWxYmGh4M+vQO/nkGp734XlBHOvv008/hZEjbwp9v1mnTj+HWbNm5zSx9u3bl/9b57zDQI8PC+rk2IaECL2gR3HSAj28UQMTyeMAQnxMzu3OcNZkr3Vu5FA9cdZP2HOHgUiSoT/KFPQw3VKQ80xRQG/v3n2eSV29oMd2HJqMuPzMwFTtTiZH3IHpR45s40HUTlU2UvXKjq+D3sGDh2DQoEGhoYf5YHv27Jljetwuzh6ds2P1gNlx/J4/zQfosfyja9e+4ELH1G6229vy5ctc0cu5rDCsLCbQ0yWr0LUDm/ow6GF+X8xV7AfiGWJX4KJmAnpsxyQuFvfp0yfxmZ5q96IOrmwzThqgJ46w/UJPdg7IBsT9OIeg0MProRo2bOi2paTX9IImXRB3TPqxm98wKt+uVXL4tu2nHaj6Utz6BIUeW9+eMnmqZ4amOPUJuxs1ME0y8oeZgF752Thni/mFHTtmFnphs9Gr2pQOWDInJN54rfsGm7l2uKADFBW1l17r48fZ2QgD3TLqFmVIyksfnCFh3tDzzjsvNdDDUOu4cepkB6I+4qAlTqcq273Jw8tPO+CPXZjAVTbjtwHxbc4OzkceWSw99+mlj+lVY3HWD0HPm76ZgB4LAeG5qjRATxWS0c300gQ9LCsfHjOFXqMaG7B1AAAa90lEQVTGjZ0ZUi/pQV4/zs4G9ObOu0sZklLpw3YLpgV6rB6wPHPmlCh7q6gPO3bBwoJxOlUv6Pm9MovPRZsk9DBBOYJbluzAq12zDEu6+zXjrB92BEOVlcWkn2Zk0haomJmAHhtFzpw5C5qf3jzxmZ7JpZFsZtSnb9/yigl72abNmV5lhR6ru9tunQA/+vGPEp/pBYWeGBaM06nKoMf3ib179xjfE6naCRy3Pgx6snUwL0iw9e2WLVqmJrwZ5ghGIIpk7I8yBT28gy5sRgkZjPwu9AaFnngI12TEZToD4+Fqqg+fB9RUzr5PnPvl3C3RFRfJbejjx9mtXbdWGZJS6cOvodWqVTMV0DvnnJ/C6c5gbsWKb6/W0UUNxLCgH7vZCAeKa6FBoYfrq7Jdk3Hr06ABrvH6j2CwPl3/1Pqpgt7UqVPgssu6SO/VM+mnGeOYr+JmAnosC/uYMWNSAT3VgVovRyX7G5PGZwqjINDjR9mmchj0/IaBmG10cvw4u02bNylDUio5LDSN9419882RVEDvkksudi/xXbt2nXF4UwwL+rFbFNBjm82mTi2GOnXqGPdTWTYWNELc+gSBHgP93LnzoOxYWaqgF3Rjji96ZPTlTECPOefevfsYdyav+tA5XhMYqTorL5eXI5sdmsjRlTXMzJW/0sVUzhtb3gBcY92+fUcFE9vQx4+zY9DbtGmzsxsz9+JglT78uTgb98+FzciCRkToHT36P/DHP270BT18mW2x92O3KKDHh8vxEmeTiEzXyy+H1q3PBNnaU9z6tGx5JnTtehkgwHr16p1TD6p2zffpXR9/nDro4UAb7+00jfxklGG+i50J6GEIpLCwoZOcNz3QO+OMn0C3bt2k4QPZrCaN0OPXhUyht3LViRCc3/NMUcz0ypyrz1UhKZU+uLUeof3I4ketXMVjA3rDhg6FNc+vVt4YIRvY8NlYkpgZyY564EAQf15UVGQEPbYp6uGHF7mhOP6JG3pYbtVAVgU9fkPbtq1bUwW9oBtzfBMkg3+QCeixxmg6gvQK9YWZGfH1i86ubt06Uucvc/BiNhZ8x8bMKIw+rEy4Prf2+eeNboJ/9LFH3AOvWYUeixqMGT0209ATHXQSkBD9nd+IjNdO4CT08Qs9P4PGuPUh6KlpnHro8Wth+QA9fi0saejxWVl04RkG13HjxyqvLbGhjx/n0KBhA+WZQdVMj23esQW9du3aQmPnGAf/8AMCE30mTZzoeYmpOLBh62d8WNBETtT14xd6hw4fgmnTikEWnk5CHxZREgd0KrvxB/J1kZK49alduzZcf/3gwEeLMjiBMy5y6qHHZ544ePCgUdgkjpneddddBxs2vGgckmJhNX4tzIYTCjPT87MmwUMvzPkf285BNTpXyWHvFzl5XNOypldSUuJ5ialYx7JQedxOVRbeZDtKTXdZe22KSkIfv4nU/WwEi1ufIBtzjKmR8RczAz281djP+R+vetE5XhMYDR82DFavec4YerIOZSJHV9Yw0ONnDLot1yinZM4cmH//fdLFflvhWr/OQZUHVGY3PmqQRujJ1rZkoXLZzfV+7abqH7r25iWHv7LJZCMLborCPiDbCZyEPthHd+/eA5s3v55jHlU/9XPkJ259zj///FCZkzLONc/ipx56/LrT+vUvpGamN3qUc6ntyhXONvPcRLm8tXkHwncQ9k7S0MNymJ4z4qGHAxD+JgGb+vh1DqrRucx581GDunXqpmamh+3A62obcWDD9wmWUNiv3aKAHn85b9u2bbVJJLw2RSWhjyoPqKqf8gOuMIOFqPqP3zXKfAYdr1tmoIejwTRAghmPzXpUABAdlawBpkEftgvwkosv0W5k0YHehj5+nV0Q6GGdFVSpknno8TMkv3aLAnp+c+R6bYpKQp8g0GOh/jRCT9zh6weu+QzAVEFv1cqVUHa8LMfeCxcuhM8//wdMmnQ7lJYeg7KyY1C9enVlneAh39LSUs86071jImfPnj3OcYW5cP3gG6DlmS2l8ng5OJLHq5E6X9y5/F0TObqy4sd073jJQfviM2LECK3dNr6yEf7//7tKeUzDhj5Hjx6FgoKqjk5VlXXIy1m9ejW8/PKGCmWS2WTDSxvcowGYzq6goMCXHFVhFi9e7F5RpHpM9Zk//16oUaMmDBkyRNuW+D7BXjaVE7b/eMnZ/8l+mFNyJ/zq6mugdZvW2n56000j4aKLOkP37t0r6JyEPjve2wEPL/qNc8/izdC0aRPPfvrRR39312FZ/9f1wST0YX1bbFPYf5o2aeI5EyfoxWQBDI80KmyUI63Y2d2FT7GT6WHnhztdx3BqvXrKEuFWXdzl6fXo3jGVM3rMKDdbf4+rekjFMTk73n8fpky5HTDf489+9rPyd03lRKnPXXPvgo8++tAtm07OvffeC6++thFWSO4cQ6Vs6PPJ/v1w5MhhaHZaM2UV8nJWrloJTz/92wplktUx/65fOarCTJ4yGWZMn6Esq6mcxx57FKpWrea2c9nD68P3CfauqZyw/UcnB697urxrN+jStau2n3r1H52cKNob66d4t2HLFi08+6n4rs6nJKEP69sP3P9gTpPC/oP9yytJQUwuPxExqZrpyUIE7MAr7gizET5DK+tCEaZyvLbv83JUuTpN5US5G5WFdHSXYKI+urOJNvTxG9ZS3Xghq2N+o4JfOareaeNwOtpt9ern4M0335RmuhHbrJi4HH9vSx9d39DJwf6Ks7dhQ4d5OlW2PKDavKOTgzrbbm/sui1MpTZo0ODyKpfJEddVw9otCn38hmsTIVACQjMBPRY3t9HIbULPa02ClyM7mG6rkYfVh5UNw8dDhgz1bILnnnu2kxj5dOWBfBv149fZqQYUKuihgngOy6+cqKG3ZcsWd8Yq28ko1rFsfdiWPmGdNw4svvzyK7hjxh1G0FOtiSelj+nauwiUsHaz5Q94u7EBoXgO0qSfJsCi2ESmGnp8QlfMh2dSWbrGFxYSrGZQjtfuMxn0RIeWBn3KNx/c6FxiOl59iSnqo8s3akMfv85ObCN8/YgzZD5q4FdO1NDbtm27c2PEIuVuYNauxct/Wbls6aPrPzo5CL29e/fBPCeHpVf4jB35kR1MT3LmyrcRZltZuxYTfoe1WxTQCxNhio1ACQjKBPTYaNCGU7UJvR3v71BebcPL8Xv+h28Hus4UVh/WMXBBfvKUKcomKMsCIr5so350TlXmHGQwVoXKWdQgiByZcTp0KHLyTfbM+RXK8AujQ4cOu+u+qpkP00flyGzpo2tvOjl8Qm8T6Klmtjo5UUACv2l6nlZ8L6zdotDHT7g2AfYkJjLV0BPDgjacalhI8DMJr4wSIvTw36bpjeKEHspCaHTvdgU8uGCBsiGa3CFoo36CODvZAXXRCfFn9DC5cRA5MuN06vRzmDVrds6v+DOMpnLKyo7D2LGjlQf/mT6qkJWpHJND415ryDo5rM8+/tgT8IuLLlK2J1wLxQxL4kFwv4MF2/rIbnKXtWuxzaUReqxvixmUTPppYkSKQXCqoSdelGlSWbrGZxN6db9bV5nfjpcjC5nYGtnZ0AfLV9S+Azy9bJmyybGDx17nEm3Uj86pyuwmG52L7UDMYhJEjsw4tjayoPPGnY+qFG9MH9XmBFv66PqPTg5/Se+AAQM8oeeVsF0nx1b/EeXI7Cu2a9ndmGHtFpU+skt6TfppDOxJTESqoSeOukwqS9f4bECCfcMrS7wIPZkzS4s+aOevvjoA69e/qGyIKmfL/4ENfYI4O9noXGwH4m67IHKiht7AQdcpb7tm+qhC5bb00fUfnRwGPTwCM9w5+6l6VAPBpGd6smw3YrsWowYmPkVnt6igZxquTYxACQhONfTErOc2nKpJAzWV43UJpghG2dZsUzlRHlnAcuJlsm+99Wfnv3eUTRAP169Zswb+8pe/Kt+xoU8Q5yADsui8+Yz4qEAQOVFDb+68u1wRsmubeOjJ3rGlT1joYdkQaHh+dc6cEk/oqWa1NuvHrz4m917Koh5+5cgME0X/EaNlpnBNgEWxiUw19MQNCjYahU3oIYxUCY+ZHK8QaFr0MZnFmcwGbegTxHnLRueiExJHvEHkRA29hxc97KxxbZKe1WP6qNqbLX1sOO8zzmju5mZ9zFnXkz2ymZL4XlL6yMomtmuTQVZa9DGZucZGm5QISi30ZDuPbDhV29CTJZJmdYsOhG12wYtaWXJg9vu06MNGrl7Js/FAdJvWZ3mu+9nQJ4izk43ORecd1U3jNtf0NjnAQycl29GI+nhFFoLYTeaDbEDvkksudlPjrV27TurmZLdEpAUSbKbKz0LFdo2REfRP/CYcG3aLov+YzFxTwqLYipFa6AWtLF3jsw091RoLk4PXp2An5+/RSxv0THZmmuzwjKLTmoSBZGfXxHYQ1U3jNqG3a/cuGDNmtPTYAuqTtpvGVV6qT5/e8O67/w07dvxF+opJZCFJiIsZb8R2bbJxKi0Ql/UNk34aG4ESEJRa6AWdlscNPa8OjGXxOsBu0vji0Ee2G41vi6Zn+WzoE9TZiVDj7SYLWQWVI/ZRm9ArO34c+vTpBbL1X9QnbTeNq/zVsKFD3cTesugG/g3OlDZu3Oi5PmyrfnT9RyZHhJrYrk2OyKQFeiYz1wS4k6jI1EIvjTeN8zXFOpNXaBDfmT5jmnJHng1I2Jq5nnHGT6Bbt27SGxSYjmPHjIObbr5Z2WBt6BPU2Ylbs3lnJ6ujoHKihB4e5va6Cd4rGYItfYJAQrTJjOnT3dsKVMdbTNaHk9RH9D18u2ZJGsT8nDbsFlX/EZdgTOQkSqWIhacWekG32uoany1IMDlei/KPP/4YTJ58u/LslUnji0sfr2TSpkmpbegT1Nl5pYWSzcaDyokaeqo70FjUAGfl69atr+AWbOmja28mcu6fP9+9YkgEAys0gr1z50vg0UcfVbo3EzlRtTcxysTL8ZPrlVcuSX3ENUgTu9nizpo1q+HBBx90dn4/b+uTob+TWujJQggmlaXrtLah5xUa1F00myZ9rrvuOtiw4UXpJgoGlOsGDPS8aNaGPkGdg1cCYNk5vqByxB7Xrl1baNy4cc6P+SMHfuXIysraLEYN2rcvgkWLFqcaetgOcLY0cOAgKC6ellNWNlPq2aMXzLv77lRCT9xow7dr2bKLiU/x2w5UhtH5N5kcL4iHJojmA7fddqvbP4YNGx61KOPvpxJ6YXLG6RqFSQP167xVo3N207gqqa5fOUE7gokcr7Ky0KHudnUTObr6CeocxBAmL0dWP0HlRD3Tk52rQpm6qIEtfWzVz/z598GPf/zjCmcOGVBGahKcJ6mP6H/4di3buWniU5LUxwvixqQI+OIFFxTB7Nl3wgUXdAz4Bft/lkroqbY023CqJg3UrxzV6Lxvnz6wddu7yjvS/MqJEnqq+834mWz9U+undqYnhpmZ81bNxG05IZsbWXBNT7VGrIsa2NLHFvRU9wOyWccM5+qha68dkMqZHhaKjzTx/VRMmMEUsGU327lEsXziOqSJ37GBmldf3Qg403v11U0VPodhz6eeesr53Ub3dwjFBQsegjp16jj/+6CTz3YmTJgw0XnnSSf6tMt9B/99wQUXOL+bVf53OIPEn/t5Ugm9MJcf6hpfFNBTlRcz8DdoUD/S++ds6oOX4opZMvg1jF0ff5xa6DFHxcrP2oFqAGULErahp7oqiV3Fo9oRaUsfXf8xlcOuShKjHGymdMvNt3i2JVM5UUAC2xK/p4BBouWZZ0Lr1mdK1+ht2S0qffhjGEGhN2yYsyvXgRU+S5f+9t+gOgGobt26u9DiH4TXx47PwJke/yDo+vX7pfv3+B2EWr9+fR3g1XXX/hj02rQ5y/1mo0aNXHguXfqUC0X83gl5J2Tjv/v1u9qYe6mEnmrmZFJZusZnExIsPZjKscZx/5xNfWSX4vLrAWuffz7V0ON3qbF2oFqDseVUbUNPnGWwnvyf/3klfPbZZ6m7lUDmabCfsquS5jr36uFdmOxhoWZdqNxW/ej8gUoOH2Zmfkd3pCTM7RRoHxv+TaUPf57YRI6KIAcOHHCA0xUQSGeddZYLJASQ7OnW7XIYPnx4hd8j8BB8OAPEv8eHAQwhuHXr1gowY6DEWR2/PtimTSv3+yJYvQiYSuipUi2ZVJaukduEBGvksrvmTFItpU0fPEiPZeIzgvCdRWdbG/qEcXZ8fk1WVtUAKowcvkNFAT1ZmfFISceOHaWbWLA8tvTR1bEfOXhrBL+ZhQ+z1apZK9UzPT7MvGPHe4AzMJYxRzbbtmk3r3sIg8rhr2l7/fXXXX285HhBAwH14IMPOEAbodyggrM3hOPWrdsrfApBhTM2WdiTByDO+hCu+Gzd+q7zvcvdUKYIPRYaNZ3qpQ56LOtEmhM0y8ApxvpVMwy+YmxAwibEC6oWVMgIwodFdB3Ohj5+nKrYaXlHtc0ZLXrlRg0jJ2rosVkGc66qjV18OWzpo6tjP3IwgTZ/xEJWPypH5UdOFJDgAY0OGiExtfjEJcuyIyM27RaFPnzYvEqVKqGgx2ZdLMQpq0MMRa5evdoNX/IPzhQReggz1TEGNuurNNBjB3DTnKtSBho2y2DlxlDbwYOH4LXXKi7iskZgAxI2odfhgg5QVNS+fHTOwrYsRKXr2Db0CePs+Bk3brphyb5lA6gwcqKGnmh31cWxaYcemxmxdT1cz2MJtXVtyVb9hJHDBrK9e/eB73/v+3DtgP7SYxgmfTAN+rDQcpcuXaxAT5x18e0RQ5jdu3eXrrXRTI+zFDbQe+69B1q1aiUN49hwqiYNNIgc3lFhhnmEh+4AbhA5slGVrmP7kYOwPnDga3ftSAS5TTlRjfBZ+XGjhFfeU1tOKIrwJtoGHRT2Azzzhzrhep7X1U+29NHVsR85tWrXhq5dL3M3fgwaNNjdBNKzp3M+b97dYFNOFDMjrAM2454ypRi+/PKfgMcwVEnZs6APyzSDsGp+evPA4U3cVMJ2VIozOdavEWxr1qwtX7MTgSiu6eHMEL/LdmLiBpVKMdNjZ8XExe+0zozEhWscGZ5wWK2cC1lfgEmTbochQ4aq/LuVhWvbEGchKHRUGKJlTsq2nKigx2ZFOODAw/Z8+aOYGUUFPTbgwKwm06YVQ5oPc4t1yQ+yENi7d+92N7M88sji8tRkWYAECyufffY5sG/fXvjOd6orNxJlQR8W4ux2eXfAW+2DrOkhmHAt70SmlQfcdTkEFr/OpsvCIu7exJAnzgwPHPjKBSV+r9JAD6Fx6NBBuKCD+iDjcScpL8akVU/16tXh6NGjyt/jL0zeCSLng799AH/964nM8oWFjeA/fvYf2rIEkSMqZ1ufl3+/Ab755htXTMeOF8IptU9x/79tObJK0tmD/Y3qvdLSUtjw8kuA/4vX22D5a5xco4KosHLYB7e8uQXOa3uesr0FlXPkmyNOUuZXyvXocllXwG+pnqBy/LYlv3I++8dn8KZjI3x+8IMfQLvzTgwMdW3Jr5yg/kAn540tr8Pnn3/ufr6tU88/+uGPpKKyps8KJ4LgB3oIJdxMgjM7XI9DUOHBc3asANc92WOShUV2Tg93YOJuzkq1pnfrreOgaZPT4KSTT1Z27rT/4p133oZ//etfcPZPz86sHge++grefuctaOLURZMmTdJu8grlY+Vv2fJMJytIvcyVnxX400/3O9fzvAfnnH0u1KlbN7N6vP/++7B//z44v137zPWJfzmDv3f++x2oW/e70KJFi8zWASs40wcBUzfDbSpMRaRq92YYRehvyQJkAbIAWYAsoLMAQU9nIfo9WYAsQBYgC+SNBQh6eVOVpAhZgCxAFiAL6CxA0NNZiH5PFiALkAXIAnljAYJe3lQlKRKXBfCM0ons8ScyxOMTJNt7XOXNqhyW7kqWyiqrOiVZbtxxiUcB8EgAezBvJZ6NYzkwkyxfXLIThx5WAF4xgdth8UHjX331r1J16WBclRGVHNxufOLKjtws6FHJy/fvYg5AfGbPnv3vdEqrXQj6TXyb73YKox8DHn6DoBfGkt/+rdhucfCGNyew83H8sQM7EtP5lUShx07h86Nk/i6lNN22m87q05cKGzXOSPwmZdV/uXK+gY6CXYzJX2fCZn6qJLqV01r+tcbZCLbZNm3auFk/sO0S9PzbUfwLPBeHdhWv4VHdXhBeYnq/kCj0cOSBowzRUeDMZNeuj5VZuNNrzvSUDGfOt912m3u1Bzpkgp6dumEDNT5FEn5Z9XM7UivPV9Ax44NRCTZgI+hFV//s9oLKFJ5PFHqqqmSXFWJjryxTbtvNGnPfsas/8P8T9OxYGNdEMBohtk02kkZnrbpfzE4J8vsrLCqBWhL0oq9rNljzexFr9CWLTkIqoYfhI3woVBS84nnnQdALbkfxL3XQ88o8b68UleNLBL3o61kVbYtecnISUgc9Pts2renZaRgEPTt2xK8Q9OzZUvclgp7OQuF+z+zL8mmG+1p2/jpV0MP4Mq7nUSjObgMi6Nmzpw56FN60Z2uCnj1bqiIWlbG9Woce233pVV2yW3Nxp1a/fn2dIwuNK9y2G13VZ+fLQe2KGhL07NUzbWSxZ0vdlwh6OgsF+z3bM1EZgYcWsw69INWAmwBwBE3AC2I9/d8Q9PQ2Mn3D68gCtmPaaWhqSf17BD29jfy8gZG0E+fyDpRfEeTn7/Pl3cShh9vpcfSMO97o8HQ0zYqgZ9eubPEf2+uJqMWJw+l4bo/d/GxXYuX8GkHPXr3jYK1bt67uByvbGp5oxUShR8Cz16i9vkTQs2tnHDHPmjUrJw0ZAg+3fdNjzwIEPXu2ZGvRqi9WpklHYtDDKTY6Y69HPABsrwlUri8R9CpXfZO2ZAGygNoCiUGPKoUsQBYgC5AFyAJxW4CgF7fFSR5ZgCxAFiALJGYBgl5ipifBZAGyAFmALBC3BQh6cVuc5JEFyAJkAbJAYhYg6CVmehJMFiALkAXIAnFbgKAXt8VJHlmALEAWIAskZgGCXmKmJ8FkAbIAWYAsELcFCHpxW5zkkQXIAmQBskBiFiDoJWZ6EkwWIAuQBcgCcVuAoBe3xUkeWYAsQBYgCyRmAYJeYqYnwWQBsgBZgCwQtwUIenFbnOSRBcgCZAGyQGIWIOglZnoSTBYgC5AFyAJxW4CgF7fFSR5ZgCxAFiALJGYBgl5ipifBZAGyAFmALBC3BQh6cVuc5JEFyAJkAbJAYhb4f/87hPNx5EKRAAAAAElFTkSuQmCC\"/>\n  </p>\n  <p style=\"text-align:left;\">\n   The slits are separated by a distance of 0.18 mm and the distance to the screen is 2.2 m. Determine, in m, the wavelength of light.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «A wave where the» displacement of particles/oscillations of particles/movement of particles/vibrations of particles is perpendicular/normal to the direction of energy transfer/wave travel/wave velocity/wave movement/wave propagation ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow medium, material, water, molecules, or atoms for particles.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «A wave where the» displacement of particles/oscillations of particles/movement of particles/vibrations of particles is perpendicular/normal to the direction of energy transfer/wave travel/wave velocity/wave movement/wave propagation ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow medium, material, water, molecules, or atoms for particles.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   v\n  </em>\n  = «0.50 × 16 =» 8.0 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  P at (8, 1.2) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  light acts as a wave «and not a particle in this situation» ✓\n </p>\n <p>\n  light at slits will diffract / create a diffraction pattern ✓\n </p>\n <p>\n  light passing through slits will interfere / create an interference pattern «creating bright and dark spots» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Ue of\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      λ\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n    <mi>\n     d\n    </mi>\n   </mfrac>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    λ\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      s\n     </mi>\n     <mi>\n      d\n     </mi>\n    </mrow>\n    <mi>\n     D\n    </mi>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      λ\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n    <mi>\n     d\n    </mi>\n   </mfrac>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    λ\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      s\n     </mi>\n     <mi>\n      d\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      D\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n  </math>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      567\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      18\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  =» 4.6 × 10\n  <sup>\n   −7\n  </sup>\n  «m» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-1-simple-harmonic-motion",
+      "c-2-wave-model",
+      "c-3-wave-phenomena"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the speed of the spacecraft is 0.80\n   <em>\n    c\n   </em>\n   as measured in S.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the current in Q is 0.45 A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the resistance of R.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the total power dissipated in the circuit.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Resistor P is removed. State and explain, without any calculations, the effect of this on the resistance of Q.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An event has coordinates\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   = 0 and\n   <em>\n    ct\n   </em>\n   = 0.60 ly in S. Show, using a Lorentz transformation, that the time coordinate of this event in S′ is\n   <em>\n    ct\n   </em>\n   ′ = 1.00 ly .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Label, on the diagram with the letter P, the point on the\n   <em>\n    ct\n   </em>\n   ′ axis whose\n   <em>\n    ct\n   </em>\n   ′ coordinate is 1.00 ly.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw lines to indicate R on the diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine, using the diagram or otherwise, the space coordinate\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   ′ of event R in S′.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  moves 4 ly in 5 years\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  slope of angle with time axis is 0.8 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow evidence for mark on the graph.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Voltage across P is 1.4 «V» ✓\n </p>\n <p>\n  Voltage across Q is 4.6 «V» ✓\n </p>\n <p>\n  And 6 – 1.4 = 4.6 «V» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Need to see a calculation involving the two voltages and the total voltage in the circuit for\n   <strong>\n    MP3\n   </strong>\n   (e.g. 1.4 + 4.6 = 6).\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Current in R is «(0.45 − 0.4)=» 0.05 A ✓\n </p>\n <p>\n  So resistance is «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      4\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      05\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  » = 28 «Ω»\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    a(i)\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  «0.45 × 6.0» = 2.7 «W»✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Q will have a smaller resistance ✓\n </p>\n <p>\n  «Because total resistance in the circuit is now larger so» the current «through the\n  <br/>\n  circuit/Q» is smaller /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n  <em>\n   <strong>\n    <br/>\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Allow similar argument for\n   <strong>\n    MP2\n   </strong>\n   based on voltage across\n  </em>\n  Q\n  <em>\n   becoming smaller.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   γ\n  </em>\n  = 1.67\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <msqrt>\n     <mfenced>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        -\n       </mo>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <msup>\n        <mn>\n         8\n        </mn>\n        <mn>\n         2\n        </mn>\n       </msup>\n      </mrow>\n     </mfenced>\n    </msqrt>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   ct\n  </em>\n  ' = «\n  <em>\n   γ\n  </em>\n  (\n  <em>\n   ct\n  </em>\n  −\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      v\n     </mi>\n     <mi>\n      x\n     </mi>\n    </mrow>\n    <mi>\n     c\n    </mi>\n   </mfrac>\n  </math>\n  )» =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n  </math>\n  × (0.60 +0) ✓\n </p>\n <p>\n  «= 1.00 ly»\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , working should be seen.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  identifies point with coordinates\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  = 0,\n  <em>\n   ct\n  </em>\n  = 0.60 on vertical axis ✓\n </p>\n <p>\n  draws line parallel to the\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  prime axis until it intersects the prime\n  <em>\n   ct\n  </em>\n  axis ✓\n </p>\n <p style=\"text-align:left;\">\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for correct position of P without working shown.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n  R located at (4,4) ✓\n </p>\n <p>\n  «as intersection of» vertical line through 4 ly and photon worldline at 45 degrees✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    MP2\n   </strong>\n   even if one of the lines is not drawn.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   <em>\n    ALTERNATIVE 1\n   </em>\n  </strong>\n </p>\n <p>\n  <em>\n   Using diagram:\n  </em>\n </p>\n <p>\n  line from R parallel to prime ct axis until it intersects space axis ✓\n </p>\n <p>\n  use of scale from (b) to estimate coordinate to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  ' = (1.3 ± 0.2) ly ✓\n </p>\n <p style=\"text-align:center;\">\n  <img src=\"data:image/png;base64,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\"/>\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   <em>\n    ALTERNATIVE 2\n   </em>\n  </strong>\n </p>\n <p>\n  <em>\n   Using Lorentz transformation:\n  </em>\n </p>\n <p>\n  event R has coordinates\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  =\n  <em>\n   ct\n  </em>\n  = 4.00 ly in S ✓\n </p>\n <p>\n  so\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  ' = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    y\n   </mi>\n  </math>\n  (\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n  </math>\n  −\n  <em>\n   vt\n  </em>\n  ) =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n  </math>\n  × (4.00 − 0.80 × 4.00)» = 1.33 ly ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity",
+      "b-5-current-and-circuits"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   According to laboratory observers\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <mi>\n       number\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       muons\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       detected\n      </mi>\n     </mrow>\n     <mrow>\n      <mi>\n       number\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       muons\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       produced\n      </mi>\n     </mrow>\n    </mfrac>\n    <mo>\n     =\n    </mo>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </math>\n   .\n  </p>\n  <p>\n   Calculate\n   <em>\n    D\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the energy released is about 18 MeV.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   determine the time taken for the detector to reach the muon source.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, using the answers to (b)(i) and (b)(ii) the ratio\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <mi>\n       number\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       muons\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       detected\n      </mi>\n     </mrow>\n     <mrow>\n      <mi>\n       number\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       muons\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       produced\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n   in S.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <strong>\n    two\n   </strong>\n   difficulties of energy production by nuclear fusion.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <strong>\n    one\n   </strong>\n   advantage of energy production by nuclear fusion compared to nuclear fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss the ratios in (a) and (c).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the nucleon number of the He isotope that\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi mathvariant=\"normal\">\n      H\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      1\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mmultiscripts>\n   </math>\n   decays into.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     T\n    </mi>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </msub>\n  </math>\n  = 2.00 × 1.56 × 10\n  <sup>\n   −6\n  </sup>\n  or  3.12 × 10\n  <sup>\n   −6\n  </sup>\n  s ✓\n </p>\n <p>\n  <em>\n   D\n  </em>\n  = «3.12 × 10\n  <sup>\n   −6\n  </sup>\n  × 0.866 × 3 × 10\n  <sup>\n   8\n  </sup>\n  =» 811 m\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «𝜇» = 2.0141 + 3.0160 − (4.0026 + 1.008665) «= 0.0188 u»\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   In\n  </em>\n  MeV: 1876.13415 + 2809.404 − (3728.4219 + 939.5714475) ✓\n </p>\n <p>\n </p>\n <p>\n  = 0.0188 × 931.5\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  = 17.512 «MeV» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Must see either clear substitutions or answer to at least 3 s.f. for\n   <strong>\n    MP2\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  transit time =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     405\n    </mn>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      866\n     </mn>\n     <mi>\n      c\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  = 1.56\n  <em>\n   µs\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [1]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  transit time is one half life ✓\n </p>\n <p>\n  so ratio has to be\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Requires high temp/pressure ✓\n  <br/>\n  Must overcome Coulomb/intermolecular repulsion ✓\n  <br/>\n  Difficult to contain / control «at high temp/pressure» ✓\n  <br/>\n  Difficult to produce excess energy/often energy input greater than output /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n  <br/>\n  Difficult to capture energy from fusion reactions ✓\n  <br/>\n  Difficult to maintain/sustain a constant reaction rate ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Plentiful fuel supplies\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  larger specific energy\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  larger energy density\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  little or no «major radioactive» waste products ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow descriptions such as “more energy per unit mass” or “more energy per unit volume”\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  the answers are the same ✓\n </p>\n <p>\n  count rates cannot vary from frame to frame /\n  <em>\n   <strong>\n    OWTTE\n   </strong>\n  </em>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    (c)\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for “count rates cannot vary” if student made a mistake\n   <strong>\n    OR\n   </strong>\n   no answer in\n   <strong>\n    (c)\n   </strong>\n   and well discussed here.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  3 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   accept\n   <math class=\"wrs_chemistry\" xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mi>\n      H\n     </mi>\n     <mprescripts>\n     </mprescripts>\n     <mn mathvariant=\"italic\">\n      2\n     </mn>\n     <mn mathvariant=\"italic\">\n      3\n     </mn>\n    </mmultiscripts>\n    <mi>\n     e\n    </mi>\n   </math>\n   by itself.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity",
+      "e-3-radioactive-decay",
+      "e-4-fission",
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The moment of inertia of the rod about the axis is 0.180 kg m\n   <sup>\n    2\n   </sup>\n   . Show that the moment of inertia of the rod–particle system is about 0.25 kg m\n   <sup>\n    2\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the angular speed of the system immediately after the collision is about 5.7 rad s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the energy lost during the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the angular deceleration of the rod.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the number of revolutions made by the rod until it stops rotating.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In another situation the rod rests on a horizontal frictionless surface with no pivot. Predict, without calculation, the motion of the rod–particle system after the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.180 + 0.200 × 0.60\n  <sup>\n   2\n  </sup>\n  «= 0.252 kg m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  angular speed of particle = «12/0.6 = » 20 «rad s\n  <sup>\n   −1\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  angular momentum of particle «0.200 × 12.0 × 0.60» = 1.44 «Js» ✓\n </p>\n <p>\n  <br/>\n  «angular momentum of rod-particle system 0.252\n  <em>\n   ω\n  </em>\n  »\n </p>\n <p>\n  equating\n  <em>\n   ω\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      44\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      252\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  » = 5.71 rad s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , working or answer to at least 3 SF should be seen.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 0.200 × 12.0\n  <sup>\n   2\n  </sup>\n  −\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  (0.252) × 5.71\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n <p>\n  10.3 J ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [1]\n   </strong>\n   for answer 11.5\n  </em>\n  J\n  <em>\n   that neglects moment of inertia of particle but do not penalize this omission in\n   <strong>\n    (d)(i)\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    α\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      152\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      252\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 0.603 rads\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept negative values.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   θ\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       71\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      603\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 27.0 rad ✓\n </p>\n <p>\n  <em>\n   N\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      27\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      π\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  = 4.3 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  the rod will rotate «about centre of mass» ✓\n </p>\n <p>\n  «centre of mass» will move along straight line\n  <br/>\n  «parallel to the particle’s initial velocity» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , mention of translational motion is not enough.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why AC is the adiabatic part of the cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the volume at C is 3.33 × 10\n   <sup>\n    −2\n   </sup>\n   m\n   <sup>\n    3\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest, for the change A ⇒ B, whether the entropy of the gas is increasing, decreasing or constant.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the thermal energy (heat) taken out of the gas from B to C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The highest and lowest temperatures of the gas during the cycle are 602 K and 92 K.\n  </p>\n  <p>\n   The efficiency of this engine is about 0.6. Outline how these data are consistent with the second law of thermodynamics.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  «considering expansions from A» an adiabatic process will reduce/change temperature ✓\n </p>\n <p>\n  and so curve AC must be the steeper ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  temperature drop occurs for BC ✓\n </p>\n <p>\n  therefore CA must increase temperature «via adiabatic process». ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  Use of adiabatic formula «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi mathvariant=\"normal\">\n     A\n    </mi>\n   </msub>\n   <msup>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      A\n     </mi>\n    </msub>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <msup>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      C\n     </mi>\n    </msub>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n   </mo>\n   <mo>\n    ⇒\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <msub>\n       <mi>\n        p\n       </mi>\n       <mi mathvariant=\"normal\">\n        A\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        p\n       </mi>\n       <mi mathvariant=\"normal\">\n        C\n       </mi>\n      </msub>\n     </mfrac>\n    </mfenced>\n    <mfrac>\n     <mn>\n      3\n     </mn>\n     <mn>\n      5\n     </mn>\n    </mfrac>\n   </msup>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     A\n    </mi>\n   </msub>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mn>\n        5\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        00\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         5\n        </mn>\n       </msup>\n      </mrow>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        60\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         3\n        </mn>\n       </msup>\n      </mrow>\n     </mfrac>\n    </mfenced>\n    <mfrac>\n     <mn>\n      3\n     </mn>\n     <mn>\n      5\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  × 2.00 × 10\n  <sup>\n   −3\n  </sup>\n  «= 3.333 × 10\n  <sup>\n   −2\n  </sup>\n  m\n  <sup>\n   3\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , working or answer to at least 4 SF must be seen.\n  </em>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  =\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <em>\n   p\n  </em>\n  <sub>\n   A\n  </sub>\n  <em>\n   V\n  </em>\n  <sub>\n   A\n  </sub>\n  =\n  <em>\n   p\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       4\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 3\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  =\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <em>\n   n\n  </em>\n  = 0.2 mol ✓\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  = (0.2 × 8.31 × 602) / 4 × 10\n  <sup>\n   4\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Increasing ✓\n </p>\n <p>\n  because thermal energy/heat is being provided to the gas « and temperature is constant,\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    S\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi mathvariant=\"normal\">\n      Δ\n     </mi>\n     <mi>\n      Q\n     </mi>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    U\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mtext>\n     C\n    </mtext>\n   </msub>\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    P\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 3.33 × 10\n  <sup>\n   −2\n  </sup>\n  × (3.00 × 10\n  <sup>\n   4\n  </sup>\n  − 4.60 × 10\n  <sup>\n   3\n  </sup>\n  )» = 1268.7 ≈ 1270 «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Accept negative values.\n  </em>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    R\n   </mi>\n   <mi>\n    n\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mn>\n     602\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    66\n   </mn>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n   <sub>\n    c\n   </sub>\n  </em>\n  = 4.6 × 10\n  <sup>\n   3\n  </sup>\n  × 3.33 × 10\n  <sup>\n   −2\n  </sup>\n  × 1.66 = 92.2  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    U\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    661\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mo>\n    (\n   </mo>\n   <mn>\n    602\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    92\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n    )\n   </mo>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1270\n   </mn>\n  </math>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP1\n   </strong>\n   if T\n   <sub>\n    c\n   </sub>\n   = 92 taken from\n   <strong>\n    (e)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   e\n  </em>\n  <sub>\n   c\n  </sub>\n  = 1 −\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     92\n    </mn>\n    <mn>\n     602\n    </mn>\n   </mfrac>\n  </math>\n  = 0.847 ✓\n </p>\n <p>\n  this engine has\n  <em>\n   e\n  </em>\n  &lt;\n  <em>\n   e\n  </em>\n  <sub>\n   c\n  </sub>\n  as it should ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [0]\n   </strong>\n   if no calculation shown.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The moment of inertia of the rod about the axis is 0.180 kg m\n   <sup>\n    2\n   </sup>\n   . Show that the moment of inertia of the rod–particle system is about 0.25 kg m\n   <sup>\n    2\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the angular speed of the system immediately after the collision is about 5.7 rad s\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the energy lost during the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the angular deceleration of the rod.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the number of revolutions made by the rod until it stops rotating.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In another situation the rod rests on a horizontal frictionless surface with no pivot. Predict, without calculation, the motion of the rod–particle system after the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.180 + 0.200 × 0.60\n  <sup>\n   2\n  </sup>\n  «= 0.252 kg m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  angular speed of particle = «12/0.6 = » 20 «rad s\n  <sup>\n   −1\n  </sup>\n  »\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  angular momentum of particle «0.200 × 12.0 × 0.60» = 1.44 «Js» ✓\n </p>\n <p>\n  <br/>\n  «angular momentum of rod-particle system 0.252\n  <em>\n   ω\n  </em>\n  »\n </p>\n <p>\n  equating\n  <em>\n   ω\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      44\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      252\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  » = 5.71 rad s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , working or answer to at least 3 SF should be seen.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 0.200 × 12.0\n  <sup>\n   2\n  </sup>\n  −\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  (0.252) × 5.71\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n <p>\n  10.3 J ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [1]\n   </strong>\n   for answer 11.5\n  </em>\n  J\n  <em>\n   that neglects moment of inertia of particle but do not penalize this omission in\n   <strong>\n    (d)(i)\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    α\n   </mi>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      152\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      252\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 0.603 rads\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept negative values.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   θ\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       71\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      603\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  = 27.0 rad ✓\n </p>\n <p>\n  <em>\n   N\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      27\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      π\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  = 4.3 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  the rod will rotate «about centre of mass» ✓\n </p>\n <p>\n  «centre of mass» will move along straight line\n  <br/>\n  «parallel to the particle’s initial velocity» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , mention of translational motion is not enough.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ1.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest why AC is the adiabatic part of the cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the volume at C is 3.33 × 10\n   <sup>\n    −2\n   </sup>\n   m\n   <sup>\n    3\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest, for the change A ⇒ B, whether the entropy of the gas is increasing, decreasing or constant.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the thermal energy (heat) taken out of the gas from B to C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The highest and lowest temperatures of the gas during the cycle are 602 K and 92 K.\n  </p>\n  <p>\n   The efficiency of this engine is about 0.6. Outline how these data are consistent with the second law of thermodynamics.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  «considering expansions from A» an adiabatic process will reduce/change temperature ✓\n </p>\n <p>\n  and so curve AC must be the steeper ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  temperature drop occurs for BC ✓\n </p>\n <p>\n  therefore CA must increase temperature «via adiabatic process». ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  Use of adiabatic formula «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi mathvariant=\"normal\">\n     A\n    </mi>\n   </msub>\n   <msup>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      A\n     </mi>\n    </msub>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     p\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <msup>\n    <msub>\n     <mi>\n      V\n     </mi>\n     <mi mathvariant=\"normal\">\n      C\n     </mi>\n    </msub>\n    <mfrac>\n     <mn>\n      5\n     </mn>\n     <mn>\n      3\n     </mn>\n    </mfrac>\n   </msup>\n   <mo>\n   </mo>\n   <mo>\n    ⇒\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <msub>\n       <mi>\n        p\n       </mi>\n       <mi mathvariant=\"normal\">\n        A\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        p\n       </mi>\n       <mi mathvariant=\"normal\">\n        C\n       </mi>\n      </msub>\n     </mfrac>\n    </mfenced>\n    <mfrac>\n     <mn>\n      3\n     </mn>\n     <mn>\n      5\n     </mn>\n    </mfrac>\n   </msup>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     A\n    </mi>\n   </msub>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mn>\n        5\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        00\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         5\n        </mn>\n       </msup>\n      </mrow>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        60\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mn>\n         3\n        </mn>\n       </msup>\n      </mrow>\n     </mfrac>\n    </mfenced>\n    <mfrac>\n     <mn>\n      3\n     </mn>\n     <mn>\n      5\n     </mn>\n    </mfrac>\n   </msup>\n  </math>\n  × 2.00 × 10\n  <sup>\n   −3\n  </sup>\n  «= 3.333 × 10\n  <sup>\n   −2\n  </sup>\n  m\n  <sup>\n   3\n  </sup>\n  » ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   For\n   <strong>\n    MP2\n   </strong>\n   , working or answer to at least 4 SF must be seen.\n  </em>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  =\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <em>\n   p\n  </em>\n  <sub>\n   A\n  </sub>\n  <em>\n   V\n  </em>\n  <sub>\n   A\n  </sub>\n  =\n  <em>\n   p\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mi mathvariant=\"normal\">\n     C\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       4\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 3\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  =\n  <em>\n   V\n  </em>\n  <sub>\n   B\n  </sub>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  <em>\n   n\n  </em>\n  = 0.2 mol ✓\n </p>\n <p>\n  <em>\n   V\n  </em>\n  <sub>\n   C\n  </sub>\n  = (0.2 × 8.31 × 602) / 4 × 10\n  <sup>\n   4\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Increasing ✓\n </p>\n <p>\n  because thermal energy/heat is being provided to the gas « and temperature is constant,\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    S\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi mathvariant=\"normal\">\n      Δ\n     </mi>\n     <mi>\n      Q\n     </mi>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    U\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <msub>\n    <mi>\n     V\n    </mi>\n    <mtext>\n     C\n    </mtext>\n   </msub>\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    P\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n  </math>\n  × 3.33 × 10\n  <sup>\n   −2\n  </sup>\n  × (3.00 × 10\n  <sup>\n   4\n  </sup>\n  − 4.60 × 10\n  <sup>\n   3\n  </sup>\n  )» = 1268.7 ≈ 1270 «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Accept negative values.\n  </em>\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    R\n   </mi>\n   <mi>\n    n\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mn>\n     602\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    66\n   </mn>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <em>\n   T\n   <sub>\n    c\n   </sub>\n  </em>\n  = 4.6 × 10\n  <sup>\n   3\n  </sup>\n  × 3.33 × 10\n  <sup>\n   −2\n  </sup>\n  × 1.66 = 92.2  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi mathvariant=\"normal\">\n    Δ\n   </mi>\n   <mi>\n    U\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     3\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    661\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mo>\n    (\n   </mo>\n   <mn>\n    602\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    92\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    21\n   </mn>\n   <mo>\n    )\n   </mo>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1270\n   </mn>\n  </math>\n  «J» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP1\n   </strong>\n   if T\n   <sub>\n    c\n   </sub>\n   = 92 taken from\n   <strong>\n    (e)\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   e\n  </em>\n  <sub>\n   c\n  </sub>\n  = 1 −\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     92\n    </mn>\n    <mn>\n     602\n    </mn>\n   </mfrac>\n  </math>\n  = 0.847 ✓\n </p>\n <p>\n  this engine has\n  <em>\n   e\n  </em>\n  &lt;\n  <em>\n   e\n  </em>\n  <sub>\n   c\n  </sub>\n  as it should ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [0]\n   </strong>\n   if no calculation shown.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate, using the graph, the maximum height of the bottle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the acceleration of the bottle when it is at its maximum height.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the fraction of the kinetic energy of the bottle that remains after the bounce.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The mass of the bottle is 27 g and it is in contact with the ground for 85 ms.\n  </p>\n  <p>\n   Determine the average force exerted by the ground on the bottle. Give your answer to an appropriate number of significant figures.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The maximum height reached by the bottle is greater with an air–water mixture than with only high-pressure air in the bottle.\n  </p>\n  <p>\n   Assume that the speed at which the propellant leaves the bottle is the same in both cases.\n  </p>\n  <p>\n   Explain why the bottle reaches a greater maximum height with an air–water mixture.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the absolute uncertainty in\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msubsup>\n     <mi>\n      F\n     </mi>\n     <mi>\n      max\n     </mi>\n     <mn>\n      3\n     </mn>\n    </msubsup>\n   </math>\n   for Δ\n   <em>\n    p\n   </em>\n   = 30 kPa. State an appropriate number of significant figures for your answer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the absolute uncertainty determined in part (d)(i) as an error bar on the graph.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the new hypothesis is supported.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The maximum height reached by the bottle is greater with an air–water mixture than with only high-pressure air in the bottle.\n  </p>\n  <p>\n   Assume that the speed at which the propellant leaves the bottle is the same in both cases.\n  </p>\n  <p>\n   Explain why the bottle reaches a greater maximum height with an air–water mixture.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  Attempt to count squares ✓\n </p>\n <p>\n  Area of one square found ✓\n </p>\n <p>\n  7.2 «m» (accept 6.4 – 7.4 m) ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  Uses area equation for either triangle ✓\n </p>\n <p>\n  Correct read offs for estimate of area of triangle ✓\n </p>\n <p>\n  7.2 «m» (accept 6.4 – 7.4) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Attempt to calculate gradient of line at\n  <em>\n   t\n  </em>\n  = 1.2 s ✓\n </p>\n <p>\n  «−» 9.8 «m s\n  <sup>\n   −2\n  </sup>\n  » (accept 9.6 − 10.0) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Attempt to evaluate KE ratio as\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mfenced>\n     <mfrac>\n      <msub>\n       <mi>\n        V\n       </mi>\n       <mi>\n        final\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        V\n       </mi>\n       <mi>\n        initial\n       </mi>\n      </msub>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n      <mn>\n       10\n      </mn>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  =» 0.20\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  20 %\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     5\n    </mn>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept ± 0.5 velocity values from graph\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Attempt to use force = momentum change ÷ time ✓\n </p>\n <p>\n  «=\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mo>\n      (\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      +\n     </mo>\n     <mn>\n      10\n     </mn>\n     <mo>\n      )\n     </mo>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      027\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      85\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  = 4.6»\n </p>\n <p>\n  Force = «4.6 + 0.3» 4.9 «N» ✓\n </p>\n <p>\n  Any answer to 2sf ✓\n </p>\n <p>\n  <em>\n   Accept ± 0.5 velocity values from graph\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Mass «leaving the bottle per second» will be larger for air–water ✓\n </p>\n <p>\n  the momentum change/force is greater ✓\n </p>\n <p>\n  <em>\n   Allow opposite argument for air only\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  15 % seen anywhere ✓\n </p>\n <p>\n  «Δ(\n  <em>\n   F\n  </em>\n  <sup>\n   3\n  </sup>\n  ) =» 39.4 × 10\n  <sup>\n   5\n  </sup>\n  × 0.15 = 5.9 × 10\n  <sup>\n   5\n  </sup>\n  ✓\n </p>\n <p>\n  ±6 × 10\n  <sup>\n   5\n  </sup>\n  ✓\n </p>\n <p>\n  <em>\n   <strong>\n    <br/>\n    MP1\n   </strong>\n   is for the propagation of 5 %. It can be shown differently, e.g. 3 × 5% Allow students to use 40 × 10\n   <sup>\n    5\n   </sup>\n   (from the graph).\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP3\n   </strong>\n   for\n   <strong>\n    any\n   </strong>\n   uncertainty rounded to 1 significant digit\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [3]\n   </strong>\n   for a\n   <strong>\n    BCA\n   </strong>\n   .\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    MP1\n   </strong>\n   and\n   <strong>\n    MP2\n   </strong>\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  error bar drawn at 30 kPa from 34 × 10\n  <sup>\n   5\n  </sup>\n  to 46 × 10\n  <sup>\n   5\n  </sup>\n  N\n  <sup>\n   3\n  </sup>\n  ✓\n </p>\n <p>\n  <em>\n   <br/>\n   Allow ± half square on each side of the bar or one square overall (± 2 × 10\n   <sup>\n    5\n   </sup>\n   )\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   from\n   <strong>\n    d(i)\n   </strong>\n   .\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  a «straight» line can be drawn that passes through origin ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Mass «leaving the bottle per second» will be larger for air–water ✓\n </p>\n <p>\n  the momentum change/force is greater ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow opposite argument for air only\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "i-2-3-interpreting-results",
+      "inquiry-2-collecting-and-processing-data",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.11",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine which star will appear to move more.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in m, the distance to star X.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the ratio\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mrow>\n      <mi>\n       luminosity\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       star\n      </mi>\n      <mo>\n      </mo>\n      <mi mathvariant=\"normal\">\n       X\n      </mi>\n     </mrow>\n     <mrow>\n      <mi>\n       luminosity\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       of\n      </mi>\n      <mo>\n      </mo>\n      <mi>\n       star\n      </mi>\n      <mo>\n      </mo>\n      <mi mathvariant=\"normal\">\n       Y\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Star Y ✓\n </p>\n <p>\n  because parallax angle is greater\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  star Y is closer «and that means movement relative to distant stars is greater» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow reverse argument for star X\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «distance =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mrow>\n      <mn>\n       0\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       019\n      </mn>\n     </mrow>\n    </mfrac>\n   </mfenced>\n  </math>\n  × 3.26 × 9.46 × 10\n  <sup>\n   15\n  </sup>\n  »\n </p>\n <p>\n  1.6 × 10\n  <sup>\n   18\n  </sup>\n  «m» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      Luminosity\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      of\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      Star\n     </mi>\n     <mo>\n     </mo>\n     <mi mathvariant=\"normal\">\n      X\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      Luminosity\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      of\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      Star\n     </mi>\n     <mo>\n     </mo>\n     <mi mathvariant=\"normal\">\n      Y\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <msub>\n      <mi>\n       b\n      </mi>\n      <mi>\n       x\n      </mi>\n     </msub>\n     <msubsup>\n      <mi>\n       d\n      </mi>\n      <mi>\n       x\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n    </mrow>\n    <mrow>\n     <msub>\n      <mi>\n       b\n      </mi>\n      <mi>\n       y\n      </mi>\n     </msub>\n     <msubsup>\n      <mi>\n       d\n      </mi>\n      <mi>\n       y\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  = 10.8 ≈ 11 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP1\n   </strong>\n   if ratio shown with distance or parallax angle.\n  </em>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP1\n   </strong>\n   for any correct substitution into ratio expression\n  </em>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [2]\n   </strong>\n   for\n   <strong>\n    BCA\n   </strong>\n  </em>\n </p>\n <p>\n  <em>\n   Allow\n   <strong>\n    ECF\n   </strong>\n   for incorrect distances from\n   <strong>\n    b(i)\n   </strong>\n   or\n   <strong>\n    b(ii)\n   </strong>\n   .\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the main element that is undergoing nuclear fusion in star C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why star B has a greater surface area than star A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   White dwarfs with similar volumes to each other are shown on the HR diagram.\n  </p>\n  <p>\n   Sketch, on the HR diagram, to show the possible positions of other white dwarf stars with similar volumes to those marked on the HR diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Hydrogen ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  stars have same/similar\n  <em>\n   L\n  </em>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  star B has lower\n  <em>\n   T\n  </em>\n  ✓\n </p>\n <p>\n  correct reference to luminosity formula (\n  <em>\n   L\n  </em>\n  α\n  <em>\n   AT\n  </em>\n  <sup>\n   4\n  </sup>\n  ) ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    MP1\n   </strong>\n   Allow reverse argument i.e., star A has higher T\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Any evidence of correct identification that three dots bottom left represent white dwarfs ✓\n </p>\n <p>\n  line passing through all 3 white dwarfs\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  line continuing from 3 white dwarfs with approximately same gradient, in either direction ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP2\n   </strong>\n   if no line drawn through the three dots but just beyond them in either direction\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.17",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the main element that is undergoing nuclear fusion in star C.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why star B has a greater surface area than star A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   White dwarfs with similar volumes to each other are shown on the HR diagram.\n  </p>\n  <p>\n   Sketch, on the HR diagram, to show the possible positions of other white dwarf stars with similar volumes to those marked on the HR diagram.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Hydrogen ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  stars have same/similar\n  <em>\n   L\n  </em>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  star B has lower\n  <em>\n   T\n  </em>\n  ✓\n </p>\n <p>\n  correct reference to luminosity formula (\n  <em>\n   L\n  </em>\n  α\n  <em>\n   AT\n  </em>\n  <sup>\n   4\n  </sup>\n  ) ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    MP1\n   </strong>\n   Allow reverse argument i.e., star A has higher T\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Any evidence of correct identification that three dots bottom left represent white dwarfs ✓\n </p>\n <p>\n  line passing through all 3 white dwarfs\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  line continuing from 3 white dwarfs with approximately same gradient, in either direction ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Award\n   <strong>\n    MP2\n   </strong>\n   if no line drawn through the three dots but just beyond them in either direction\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "e-5-fusion-and-stars"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the unit for\n   <em>\n    pV\n   </em>\n   in fundamental SI units.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine, using the graph, whether the gas acts as an ideal gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in g, the mass of the gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  kg m\n  <sup>\n   2\n  </sup>\n  s\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n </p>\n <p>\n  Graph shown is a straight line/linear\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  expected graph should be a straight line/linear ✓\n </p>\n <p>\n  If ideal then\n  <em>\n   T\n  </em>\n  intercept must be at\n  <em>\n   T\n  </em>\n  = −273 °C ✓\n </p>\n <p>\n  Use of\n  <em>\n   y\n  </em>\n  =\n  <em>\n   mx\n  </em>\n  +\n  <em>\n   c\n  </em>\n  to show that\n  <em>\n   x\n  </em>\n  = −273 °C when\n  <em>\n   y\n  </em>\n  = 0 ✓\n  <br/>\n  (hence ideal)\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n </p>\n <p>\n  Calculates\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      p\n     </mi>\n     <mi>\n      V\n     </mi>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  for two different points ✓\n  <br/>\n  Obtains 1.50 «J K\n  <sup>\n   −1\n  </sup>\n  » for both ✓\n </p>\n <p>\n  States that for ideal gas\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      p\n     </mi>\n     <mi>\n      V\n     </mi>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mi>\n    n\n   </mi>\n   <mi>\n    R\n   </mi>\n  </math>\n  which is constant and concludes that gas is ideal ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    n\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      p\n     </mi>\n     <mi>\n      V\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      R\n     </mi>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    N\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      p\n     </mi>\n     <mi>\n      V\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      k\n     </mi>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  Mass of gas =\n  <em>\n   n\n  </em>\n  ×\n  <em>\n   N\n  </em>\n  <sub>\n   A\n  </sub>\n  × mass of molecule\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  Mass of gas = N\n  <em>\n  </em>\n  × mass of molecule ✓\n </p>\n <p>\n  5.1 «g» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "tools"
+    ],
+    "subtopics": [
+      "b-3-gas-laws",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain the pattern seen on the screen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in nm,\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     λ\n    </mi>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in nm,\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     λ\n    </mi>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student moves the screen closer to the double slit and repeats the measurements. The instruments used to make the measurements are unchanged.\n  </p>\n  <p>\n   Discuss the effect this movement has on the fractional uncertainty in the value of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     λ\n    </mi>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The student changes the light source to one that emits two colours:\n   <br/>\n   • blue light of wavelength\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     λ\n    </mi>\n   </math>\n   , and\n   <br/>\n   • red light of wavelength 1.5\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     λ\n    </mi>\n   </math>\n   .\n  </p>\n  <p>\n   Predict the pattern that the student will see on the screen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Mention of interference / superposition ✓\n </p>\n <p>\n  Bright fringe occurs when light from the slits arrives in phase ✓\n </p>\n <p>\n  Dark fringe occurs when light from the slits arrives 180°/\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    π\n   </mi>\n  </math>\n  out of phase ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      15\n     </mn>\n    </mrow>\n    <mn>\n     8\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  = 0.0188 «m» ✓\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      d\n     </mi>\n     <mi>\n      s\n     </mi>\n    </mrow>\n    <mi>\n     D\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  450 «nm» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   s\n  </em>\n  =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      15\n     </mn>\n    </mrow>\n    <mn>\n     8\n    </mn>\n   </mfrac>\n  </math>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  = 0.0188 «m» ✓\n </p>\n <p>\n  use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      d\n     </mi>\n     <mi>\n      s\n     </mi>\n    </mrow>\n    <mi>\n     D\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  450 «nm» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «As the measurements decrease» the fractional uncertainty in D/s increases. ✓\n </p>\n <p>\n  «Fractional uncertainties are additive here» so fractional uncertainty in\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n  </math>\n  increases ✓\n </p>\n <p>\n  <em>\n   Answers can be described in symbols e.g. Δs/s\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Blue fringe is unchanged ✓\n </p>\n <p>\n  Red fringes are farther apart than blue ✓\n </p>\n <p>\n  By a factor of 1.5 ✓\n </p>\n <p>\n  At some point/s the fringes coincide/are purple ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour",
+      "tools"
+    ],
+    "subtopics": [
+      "c-3-wave-phenomena",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The designers state that the energy transferred by the resistor every second is 15 J.\n  </p>\n  <p>\n   Calculate the current in the resistor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The resistor has a cross-sectional area of 9.6 × 10\n   <sup>\n    −6\n   </sup>\n   m\n   <sup>\n    2\n   </sup>\n   .\n  </p>\n  <p>\n   Show that a resistor made from carbon fibre will be suitable for the pad.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The power supply to the pad has a negligible internal resistance.\n  </p>\n  <p>\n   State and explain the variation in current in the resistor as the temperature of the pad increases.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   outline the magnetic force acting on it due to the current in PQ.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   state and explain the net magnetic force acting on it due to the currents in PQ and TU.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The design of the pad encloses the resistor in a material that traps air. The design also places the resistor close to the top surface of the pad.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p>\n   Explain, with reference to thermal energy transfer, why the pad is designed in this way.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   I\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mfrac>\n     <mi>\n      P\n     </mi>\n     <mi>\n      R\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  =» 1.9 «A» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 1\n   </strong>\n  </em>\n  (Calculation of length)\n  <br/>\n  Read off from graph [2.8 − 3.2 × 10\n  <sup>\n   −5\n  </sup>\n  Ω m]✓\n  <br/>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    I\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      R\n     </mi>\n     <mi>\n      A\n     </mi>\n    </mrow>\n    <mi>\n     ρ\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n  <br/>\n  <em>\n   l\n  </em>\n  = 1.3 − 1.4 «m» ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 2\n   </strong>\n  </em>\n  (Calculation of area)\n  <br/>\n  Read off from graph [2.8 − 3.2 × 10\n  <sup>\n   −5\n  </sup>\n  Ω m]✓\n  <br/>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    A\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    ρ\n   </mi>\n   <mfrac>\n    <mi>\n     I\n    </mi>\n    <mi>\n     R\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   A\n  </em>\n  = 8.3 − 9.5 × 10\n  <sup>\n   −6\n  </sup>\n  «m\n  <sup>\n   2\n  </sup>\n  » ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 3\n   </strong>\n  </em>\n  (Calculation of resistance)\n  <br/>\n  Read off from graph [2.8 − 3.2 × 10\n  <sup>\n   −5\n  </sup>\n  Ω m]✓\n  <br/>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    R\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    ρ\n   </mi>\n   <mfrac>\n    <mi>\n     I\n    </mi>\n    <mi>\n     A\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   R\n  </em>\n  = 3.6 − 4.2 «Ω» ✓\n </p>\n <p>\n  <em>\n   <strong>\n    ALTERNATIVE 4\n   </strong>\n  </em>\n  (Calculation of resistivity)\n  <br/>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ρ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      R\n     </mi>\n     <mi>\n      A\n     </mi>\n    </mrow>\n    <mi>\n     I\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     ρ\n    </mi>\n   </math>\n  </em>\n  = 3.2 × 10\n  <sup>\n   −5\n  </sup>\n  «Ω m» ✓\n </p>\n <p>\n  Read off from graph 260 – 280 K ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «Resistivity and hence» resistance will decrease ✓\n </p>\n <p>\n  «Pd across pad will not change because internal resistance is negligible»\n  <br/>\n  Current will increase ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «The force is» away from PQ/repulsive/to the right ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The magnetic fields «due to currents in PQ and TU» are in opposite directions\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  There are two «repulsive» forces in opposite directions ✓\n </p>\n <p>\n  Net force is zero ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Air is a poor «thermal» conductor ✓\n </p>\n <p>\n  Lack of convection due to air not being able to move in material ✓\n </p>\n <p>\n  Appropriate statement about energy transfer between the pet, the resistor and surroundings ✓\n </p>\n <p>\n  The rate of thermal energy transfer to the top surface is greater than the bottom «due to thinner material» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Accept air is a good insulator\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "d-fields"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "b-5-current-and-circuits",
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline what is meant by an isotope.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   mass number.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   proton number.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A beta-minus particle and an alpha particle have the same initial kinetic energy.\n  </p>\n  <p>\n   Outline why the beta-minus particle can travel further in air than the alpha particle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  «An atom with» the same number of protons\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  different numbers of neutrons\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  Same chemical properties\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  different physical properties ✓\n </p>\n <p>\n  <em>\n   Do\n   <strong>\n    not\n   </strong>\n   allow just atomic number and mass number\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  3 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  2 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Alphas have double charge «and so are better ionisers »✓\n </p>\n <p>\n  alphas have more mass and therefore slower «for same energy» ✓\n </p>\n <p>\n  so longer time/more likely to interact with the «atomic» electrons/atoms «and therefore better ionisers» ✓\n </p>\n <p>\n  <em>\n   Accept reverse argument in terms of betas travelling faster.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "23M.2.SL.TZ2.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       M\n      </mi>\n     </msub>\n     <msub>\n      <mi>\n       g\n      </mi>\n      <mi mathvariant=\"normal\">\n       P\n      </mi>\n     </msub>\n    </mfrac>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline one reason why this model of a dancer is unrealistic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Work using\n  <em>\n   g\n  </em>\n  ∝\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     m\n    </mi>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msub>\n     <mi>\n      g\n     </mi>\n     <mi mathvariant=\"normal\">\n      M\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      g\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi mathvariant=\"normal\">\n      M\n     </mi>\n    </msub>\n    <msub>\n     <mi>\n      m\n     </mi>\n     <mi mathvariant=\"normal\">\n      P\n     </mi>\n    </msub>\n   </mfrac>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <msub>\n       <mi>\n        r\n       </mi>\n       <mi mathvariant=\"normal\">\n        P\n       </mi>\n      </msub>\n      <msub>\n       <mi>\n        r\n       </mi>\n       <mi mathvariant=\"normal\">\n        M\n       </mi>\n      </msub>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  = 0.75 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  one example specified\n  <em>\n   eg\n  </em>\n  friction, air resistance, mass distribution not modelled ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   <strong>\n    Award [1]\n   </strong>\n   for any reasonable physical parameter that is not consistent with the model\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the principal energy change in nuclear fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the principal energy change in nuclear fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The energy released in the reaction is about 180 MeV. Estimate, in J, the energy released when 1 kg of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      U\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      92\n     </mn>\n     <mn>\n      235\n     </mn>\n    </mmultiscripts>\n   </math>\n   undergoes fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the decay mode of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Te\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      52\n     </mn>\n     <mn>\n      132\n     </mn>\n    </mmultiscripts>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in s\n   <sup>\n    −1\n   </sup>\n   , the initial activity of the sample.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the decay constant of a nuclide is given by −\n   <em>\n    m\n   </em>\n   , where\n   <em>\n    m\n   </em>\n   is the slope of the graph of ln\n   <em>\n    A\n   </em>\n   against\n   <em>\n    t\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine, in days, the half-life of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Te\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      52\n     </mn>\n     <mn>\n      132\n     </mn>\n    </mmultiscripts>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline the role of the heat exchanger in a nuclear power station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the maximum temperature of the gas during the cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the entropy of the gas remains constant during changes BC and DA.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the efficiency of the cycle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the rotational kinetic energy of the turbine decreases at a constant rate.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Mass-energy «of uranium» into kinetic energy of fission products ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Mass-energy «of uranium» into kinetic energy of fission products ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Mass of uranium nucleus\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ≈\n   </mo>\n   <mn>\n    235\n   </mn>\n   <mtext>\n    u\n   </mtext>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mtext>\n     energy\n    </mtext>\n    <mtext>\n     mass\n    </mtext>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      180\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        19\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      235\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      661\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        27\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     13\n    </mn>\n   </msup>\n  </math>\n  «J» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  beta minus decay ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mtext>\n     Te\n    </mtext>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     52\n    </mn>\n    <mn>\n     132\n    </mn>\n   </mmultiscripts>\n  </math>\n  has more neutrons / higher\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     N\n    </mi>\n    <mi>\n     Z\n    </mi>\n   </mfrac>\n  </math>\n  ratio than stable nuclides of similar\n  <em>\n   A\n  </em>\n  «and beta minus reduces\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     N\n    </mi>\n    <mi>\n     Z\n    </mi>\n   </mfrac>\n  </math>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     e\n    </mi>\n    <mn>\n     25\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     10\n    </mn>\n   </msup>\n  </math>\n  «s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  Takes ln of both sides of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    A\n   </mi>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     A\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n   <msup>\n    <mi>\n     e\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mi>\n      λ\n     </mi>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </msup>\n  </math>\n  , leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    A\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mi>\n     A\n    </mi>\n    <mn>\n     0\n    </mn>\n   </msub>\n   <mo>\n    -\n   </mo>\n   <mi>\n    λ\n   </mi>\n   <mi>\n    t\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  «hence slope\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mi>\n    λ\n   </mi>\n  </math>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  Slope =«−»\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     T\n    </mi>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mn>\n      2\n     </mn>\n    </mfrac>\n   </msub>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      ln\n     </mi>\n     <mo>\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        6\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      24\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 3.2 «days» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Collects thermal energy from the coolant and delivers it to the gas ✓\n </p>\n <p>\n  Prevents the «irradiated» coolant from leaving the reactor vessel ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Correct read offs of pressure and volume at B ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     6\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    31\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    T\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1500\n   </mn>\n  </math>\n  «K»  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    S\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      Q\n     </mi>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  , the change in entropy is zero when\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    Q\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  Net work done  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    23\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mn>\n    9\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    11\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    32\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    25\n   </mn>\n  </math>\n  » 9.77 «kJ» ✓\n </p>\n <p>\n  Efficiency =«\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      77\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      20\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      58\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.47 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Rotational KE is proportional to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  Calculation of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  for at least four points, e.g. {96.1, 76.7, 57.6, 38.4, 19.3}×10\n  <sup>\n   3\n  </sup>\n </p>\n <p>\n  Shows that the differences in equal time intervals are approximately the same, e.g. {19.4, 19.1, 19.2, 19.1, 19.3}×10\n  <sup>\n   3\n  </sup>\n  ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow a tolerance of ±1×10\n   <sup>\n    3\n   </sup>\n   s\n   <sup>\n    −2\n   </sup>\n   from the values stated in MP2.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics",
+      "b-3-gas-laws",
+      "b-4-thermodynamics",
+      "e-3-radioactive-decay",
+      "e-4-fission"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.10",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the angular impulse applied to the flywheel.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The angular speed of the flywheel increased by 280 rad s\n   <sup>\n    −1\n   </sup>\n   during the application of the angular impulse.\n  </p>\n  <p>\n   Determine the moment of inertia of the flywheel.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The flywheel was rotating at 150 rev per minute before the application of the angular impulse. Determine the change in angular rotational energy of the flywheel during the application of the flywheel.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Attempt to find area of triangle ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    180\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    720\n   </mn>\n  </math>\n  «kg m\n  <sup>\n   2\n  </sup>\n  s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Attempt to find area of triangle ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    180\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    720\n   </mn>\n  </math>\n  «kg m\n  <sup>\n   2\n  </sup>\n  s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    L\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    Δ\n   </mtext>\n   <mfenced>\n    <mrow>\n     <mi>\n      I\n     </mi>\n     <mi>\n      ω\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  2.6 kg m\n  <sup>\n   2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Correct conversions to a consistent set of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ω\n   </mi>\n  </math>\n  units ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    L\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mfenced>\n    <mrow>\n     <msubsup>\n      <mi>\n       ω\n      </mi>\n      <mtext>\n       f\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <mo>\n      -\n     </mo>\n     <msubsup>\n      <mi>\n       ω\n      </mi>\n      <mtext>\n       i\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n    </mrow>\n   </mfenced>\n  </math>\n  or correct substitution seen ✓\n </p>\n <p>\n  113 kJ ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.11",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the gas in configuration B has a greater number of microstates than in A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce, with reference to entropy, that the expansion of the gas from the initial configuration A is irreversible.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Configuration A has only one microstate ✓\n </p>\n <p>\n  In configuration B, pairs of particles can be swapped between the halves ✓\n </p>\n <p>\n  Every such change gives rise to a new microstate «so there is a large number of microstates in B» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Configuration A has only one microstate ✓\n </p>\n <p>\n  In configuration B, pairs of particles can be swapped between the halves ✓\n </p>\n <p>\n  Every such change gives rise to a new microstate «so there is a large number of microstates in B» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The entropy of the gas is related to the number of microstates\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     S\n    </mi>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mtext>\n     Ω\n    </mtext>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n  </math>\n  and\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     S\n    </mi>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <msub>\n    <mtext>\n     Ω\n    </mtext>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n  </math>\n  ✓\n </p>\n <p>\n  <br/>\n  Since\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n   </mo>\n   <msub>\n    <mtext>\n     Ω\n    </mtext>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n    &gt;\n   </mo>\n   <msub>\n    <mtext>\n     Ω\n    </mtext>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n  </math>\n  , the entropy in configuration B is greater ✓\n </p>\n <p>\n  A process that results in an increase of entropy in an isolated system is irreversible ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by an isolated system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the number of microstates of the system in configuration A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Configuration B has 120 microstates. Calculate the entropy difference between configurations B and A. State the answer in terms of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      k\n     </mi>\n     <mtext>\n      B\n     </mtext>\n    </msub>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The system is initially in configuration A. Comment, with reference to the second law of thermodynamics and your answer in (c), on the likely evolution of the system.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Neither mass nor energy is exchanged with the surroundings ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Neither mass nor energy is exchanged with the surroundings ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  6 microstates ✓\n </p>\n <p>\n  Any of the six particles can be the one of the highest energy ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    120\n   </mn>\n   <mo>\n    -\n   </mo>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    6\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  The second law predicts that isolated systems spontaneously evolve towards high-entropy states ✓\n </p>\n <p>\n  From (c), the entropy of B is greater than that of A ✓\n </p>\n <p>\n  The final state will likely be similar to B / contain relatively many low-energy particles «of different energies» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the fractional number of throws for which the three most likely macrostates occur.\n  </p>\n  <p>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A throw is made once every minute. Estimate the average time required before a throw occurs where all coins are heads or all coins are tails.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In one throw the coins all land heads upwards. The following throw results in 7 heads and 3 tails. Calculate, in terms of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      k\n     </mi>\n     <mtext>\n      B\n     </mtext>\n    </msub>\n   </math>\n   , the change in entropy between the two throws.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Recognises that 4 heads and 6 tails also required ✓\n </p>\n <p>\n  Total number of microstates = 672 ✓\n </p>\n <p>\n  Fractional number = 672/1024 = 0.66 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow ecf for MP3\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Recognises that 4 heads and 6 tails also required ✓\n </p>\n <p>\n  Total number of microstates = 672 ✓\n </p>\n <p>\n  Fractional number = 672/1024 = 0.66 ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow ecf for MP3\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Two chances in 1024 so once every 512 throws ✓\n </p>\n <p>\n  512 throws take 8.5 h so (a reasonable estimate is half way through) on average 4.3 h ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    S\n   </mi>\n   <mo>\n    =\n   </mo>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mo>\n   </mo>\n   <mfenced>\n    <mrow>\n     <mi>\n      ln\n     </mi>\n     <mo>\n     </mo>\n     <mn>\n      120\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      ln\n     </mi>\n     <mo>\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n   <msub>\n    <mi>\n     k\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n  </math>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-4-thermodynamics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   orbital speed;\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   escape speed from its orbit.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   in its initial circular orbit;\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   in its final orbit.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       6\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       67\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mrow>\n        <mo>\n         -\n        </mo>\n        <mn>\n         11\n        </mn>\n       </mrow>\n      </msup>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       5\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       97\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mn>\n        24\n       </mn>\n      </msup>\n     </mrow>\n     <mrow>\n      <mn>\n       6\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       70\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mn>\n        6\n       </mn>\n      </msup>\n     </mrow>\n    </mfrac>\n   </msqrt>\n   <mo>\n    =\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    71\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n  </math>\n  «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       6\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       67\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mrow>\n        <mo>\n         -\n        </mo>\n        <mn>\n         11\n        </mn>\n       </mrow>\n      </msup>\n      <mo>\n       ×\n      </mo>\n      <mn>\n       5\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       97\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mn>\n        24\n       </mn>\n      </msup>\n     </mrow>\n     <mrow>\n      <mn>\n       6\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       70\n      </mn>\n      <mo>\n       ×\n      </mo>\n      <msup>\n       <mn>\n        10\n       </mn>\n       <mn>\n        6\n       </mn>\n      </msup>\n     </mrow>\n    </mfrac>\n   </msqrt>\n  </math>\n  = »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    09\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     4\n    </mn>\n   </msup>\n   <mo>\n   </mo>\n   <mo>\n    «\n   </mo>\n   <mi mathvariant=\"normal\">\n    m\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi mathvariant=\"normal\">\n     s\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    »\n   </mo>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Negative ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Positive ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The radius of the dwarf planet Pluto is 1.19 x 10\n   <sup>\n    6\n   </sup>\n   m. The acceleration due to gravity at its surface is 0.617 m s\n   <sup>\n    −2\n   </sup>\n   .\n  </p>\n  <p>\n   Determine the escape speed for an object at the surface of Pluto.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Pluto rotates about an axis through its centre. Its rotation is in the opposite sense to that of the Earth, i.e. from east to west.\n  </p>\n  <p>\n   Explain the advantage of an object launching from the equator of Pluto and travelling to the west.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mi>\n       G\n      </mi>\n      <mi>\n       M\n      </mi>\n     </mrow>\n     <mi>\n      r\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  AND\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  seen ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mi>\n       g\n      </mi>\n      <msup>\n       <mi>\n        r\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msup>\n     </mrow>\n     <mi>\n      r\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  Leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mn>\n     2\n    </mn>\n    <mi>\n     g\n    </mi>\n    <mi>\n     r\n    </mi>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  1.2 km s\n  <sup>\n   −1\n  </sup>\n  ✓\n  <sup>\n  </sup>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mi>\n       G\n      </mi>\n      <mi>\n       M\n      </mi>\n     </mrow>\n     <mi>\n      r\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  AND\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    g\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  seen ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mi>\n       g\n      </mi>\n      <msup>\n       <mi>\n        r\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msup>\n     </mrow>\n     <mi>\n      r\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  Leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     esc\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mn>\n     2\n    </mn>\n    <mi>\n     g\n    </mi>\n    <mi>\n     r\n    </mi>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  1.2 km s\n  <sup>\n   −1\n  </sup>\n  ✓\n  <sup>\n  </sup>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Object at equator has the maximum linear/tangential speed possible ✓\n </p>\n <p>\n  It therefore has maximum kinetic energy before takeoff (and this is not required from the fuel) ✓\n </p>\n <p>\n  Idea that the object is already moving in direction of planet before takeoff ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.17",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the energy of the scattered photon is about 16 keV.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the wavelength of the incident photon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the results of the experiment are inconsistent with the wave model of electromagnetic radiation.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the scattering angle of the photon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      24\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        6\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      7\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      80\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        11\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  «= 15.9 keV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      24\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        6\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      7\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      80\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        11\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  «= 15.9 keV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Energy of incident photon =«\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    15\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    9\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    +\n   </mo>\n   <mn>\n    500\n   </mn>\n   <mo>\n    =\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    16\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     3\n    </mn>\n   </msup>\n  </math>\n  «eV» ✓\n </p>\n <p>\n  Wavelength of incident photon =«\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      24\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        6\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      16\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    56\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      11\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «m» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The wavelength of the X-rays changes ✓\n </p>\n <p>\n  According to the wave model, the wavelength of the incident and scattered X-rays should be the same ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      7\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      80\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      7\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      56\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      11\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      24\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        6\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      511\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mfenced>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      cos\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      θ\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    89\n   </mn>\n   <mo>\n    °\n   </mo>\n  </math>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the pattern observed on the screen is an evidence for matter waves.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A typical interatomic distance in the graphite crystal is of the order of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mn>\n     2\n    </mn>\n    <mo>\n     ×\n    </mo>\n    <msup>\n     <mn>\n      10\n     </mn>\n     <mrow>\n      <mo>\n       -\n      </mo>\n      <mn>\n       10\n      </mn>\n     </mrow>\n    </msup>\n   </math>\n   m. Estimate the minimum value of\n   <em>\n    U\n   </em>\n   for the pattern in (a) to be formed on the screen.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Protons can also be accelerated by the same potential difference\n   <em>\n    U\n   </em>\n   . Compare, without calculation, the de Broglie wavelength of the protons to that of the electrons.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The pattern is formed when the electrons scattered from adjacent planes in the graphite crystal undergo interference / diffract ✓\n </p>\n <p>\n  Interference / diffraction is a property of waves only ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The pattern is formed when the electrons scattered from adjacent planes in the graphite crystal undergo interference / diffract ✓\n </p>\n <p>\n  Interference / diffraction is a property of waves only ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The de Broglie wavelength of the electrons should be comparable to or shorter than the interatomic distance /\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      10\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  m ✓\n </p>\n <p>\n  Momentum of electrons\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ≈\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      63\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        34\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        10\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    32\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  N s» ✓\n </p>\n <p>\n  Kinetic energy of electrons = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <msup>\n     <mi>\n      p\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi>\n      m\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msup>\n     <mfenced>\n      <mrow>\n       <mn>\n        3\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        32\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          24\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfenced>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      11\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        31\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      18\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «J»  ✓\n </p>\n <p>\n  <em>\n   U\n  </em>\n  = «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     E\n    </mi>\n    <mi>\n     e\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      10\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        18\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        19\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  »40 «V» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  The protons have the same energy but greater mass hence a greater momentum than the electrons ✓\n </p>\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     h\n    </mi>\n    <mi>\n     p\n    </mi>\n   </mfrac>\n  </math>\n  , the protons will have a shorter wavelength ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.19",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the de Broglie hypothesis.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the maximum speed of the electrons in the beam.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   After passing through the circular hole the electrons strike a fluorescent screen.\n  </p>\n  <p>\n   Predict whether an apparatus such as this can demonstrate that moving electrons have wave properties.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a moving particle has wave properties ✓\n </p>\n <p>\n  de Broglie wavelength = Planck constant÷momentum (must define p if quoted as equation) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  a moving particle has wave properties ✓\n </p>\n <p>\n  de Broglie wavelength = Planck constant÷momentum (must define p if quoted as equation) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  use of ½\n  <em>\n   mv\n  </em>\n  <sup>\n   2\n  </sup>\n  =\n  <em>\n   eV ✓\n  </em>\n </p>\n <p>\n  1.33 × 10\n  <sup>\n   7\n  </sup>\n  m s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  idea that de Broglie wavelength and hole size must be similar ✓\n </p>\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     h\n    </mi>\n    <msqrt>\n     <mn>\n      2\n     </mn>\n     <mi>\n      m\n     </mi>\n     <mi>\n      e\n     </mi>\n     <mi>\n      V\n     </mi>\n    </msqrt>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  Leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    λ\n   </mi>\n  </math>\n  around 5 x 10\n  <sup>\n   −11\n  </sup>\n  m (which is unrealistic for a practical situation) ✓\n </p>\n <p>\n  It would not be possible to construct this hole\n  <br/>\n  <strong>\n   OR\n  </strong>\n  <br/>\n  hole must be smaller than an atom so impossible ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the movement direction for which the geophone has its greatest sensitivity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the movement direction for which the geophone has its greatest sensitivity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how an emf is generated in the coil.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the magnitude of the emf is related to the amplitude of the ground movement.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   In one particular event, a maximum emf of 65 mV is generated in the geophone. The geophone coil has 150 turns.\n  </p>\n  <p>\n   Calculate the rate of flux change that leads to this emf.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest\n   <strong>\n    two\n   </strong>\n   changes to the system that will make the geophone more sensitive.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that, when sound travels from clay to sandstone, the critical angle is approximately 40°.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The angle between the clay–air surface and\n   <strong>\n    path 1\n   </strong>\n   is 80°.\n  </p>\n  <p>\n   Draw, on the diagram, the subsequent path of a sound wave that travels initially in the clay along\n   <strong>\n    path 1\n   </strong>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate\n   <em>\n    d\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Vertical direction / parallel to springs ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Vertical direction / parallel to springs ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The magnetic field moves relative to the coil ✓\n </p>\n <p>\n  As field lines cut the coil, forces act on (initially stationary) electrons in the wire (and these move producing an emf) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  The springs have a natural time period for the oscillation ✓\n </p>\n <p>\n  A greater amplitude of movement leads to higher magnet speed (with constant time period) ✓\n </p>\n <p>\n  So field lines cut coil more quickly leading to greater emf ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ε\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mfenced>\n      <mrow>\n       <mi>\n        N\n       </mi>\n       <mtext>\n        Φ\n       </mtext>\n      </mrow>\n     </mfenced>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mtext>\n     ΔΦ\n    </mtext>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mo>\n     -\n    </mo>\n   </mfenced>\n   <mfrac>\n    <mrow>\n     <mn>\n      65\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mn>\n     150\n    </mn>\n   </mfrac>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    43\n   </mn>\n  </math>\n  mWb s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Any two suggestions from:\n </p>\n <p>\n  Increase number of turns in coil ✓\n  <br/>\n  Because more flux cutting per cycle ✓\n </p>\n <p>\n  Increase field strength of magnet  ✓\n  <br/>\n  So that there are more field lines ✓\n </p>\n <p>\n  Change mass-spring system so that time period decreases ✓\n  <br/>\n  So magnet will be moving faster for given amplitude of movement ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   <sub>\n    c\n   </sub>\n   n\n   <sub>\n    s\n   </sub>\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      7\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    57\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  Critical angle\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mi>\n     sin\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n   <mfenced>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mrow>\n      <mn>\n       1\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       57\n      </mn>\n     </mrow>\n    </mfrac>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mn>\n    39\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    °\n   </mo>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  ray shown reflected back into the clay (and then to Z) at (by eye) the incidence angle ✓\n </p>\n <p>\n  ray shown refracted into the sandstone with angle of refraction greater than angle of incidence (by eye) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  distance difference\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      3000\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      00667\n     </mn>\n     <mo>\n      =\n     </mo>\n    </mrow>\n   </mfenced>\n   <mn>\n    19\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n  </math>\n  m ✓\n </p>\n <p>\n  ½ distance difference\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    9\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    9\n   </mn>\n  </math>\n  m so YZ\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    49\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    9\n   </mn>\n  </math>\n  m ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    d\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <msqrt>\n     <msup>\n      <mtext>\n       YZ\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mo>\n      -\n     </mo>\n     <msup>\n      <mfenced>\n       <mfrac>\n        <mtext>\n         XZ\n        </mtext>\n        <mn>\n         2\n        </mn>\n       </mfrac>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </msqrt>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mn>\n     49\n    </mn>\n    <mo>\n     .\n    </mo>\n    <msup>\n     <mn>\n      9\n     </mn>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mo>\n     -\n    </mo>\n    <msup>\n     <mn>\n      40\n     </mn>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  <br/>\n  29.8 m ✓\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Recognises situation as (almost) 3:4:5 triangle ✓\n </p>\n <p>\n  <br/>\n  30 m (\n  <em>\n   1 sf answer only accepted in this route\n  </em>\n  ) ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "c-wave-behaviour",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "c-1-simple-harmonic-motion",
+      "c-3-wave-phenomena",
+      "d-4-induction"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.20",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The quantity\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mfrac>\n     <mi>\n      h\n     </mi>\n     <mrow>\n      <msub>\n       <mi>\n        m\n       </mi>\n       <mtext>\n        e\n       </mtext>\n      </msub>\n      <mi>\n       c\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n   is known as the Compton wavelength.\n  </p>\n  <p>\n   Show that the Compton wavelength is about 2.4 pm.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the wavelength of the photon after the interaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the wavelength of the photon has changed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the scattering angle for the photon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine, in J, the kinetic energy of the electron after the interaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2.43 pm ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  2.43 pm ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  8.43 pm ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  (Energy of photon inversely prop to wavelength)\n </p>\n <p>\n </p>\n <p>\n  photon transfers some of its energy to the electron. ✓\n </p>\n <p>\n  If its energy decreases so its wavelength increases. ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  (for this interaction)\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    λ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     h\n    </mi>\n    <mrow>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mtext>\n       e\n      </mtext>\n     </msub>\n     <mi>\n      c\n     </mi>\n    </mrow>\n   </mfrac>\n   <mfenced>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      cos\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      θ\n     </mi>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     h\n    </mi>\n    <mrow>\n     <msub>\n      <mi>\n       m\n      </mi>\n      <mtext>\n       e\n      </mtext>\n     </msub>\n     <mi>\n      c\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  and therefore\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      cos\n     </mi>\n     <mo>\n     </mo>\n     <mi>\n      θ\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n  must equal 1 ✓\n </p>\n <p>\n  so cos theta = 0 and theta = 90 deg ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  (Because energy is conserved)\n </p>\n <p>\n  <br/>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mtext>\n     k\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mi>\n    h\n   </mi>\n   <mi>\n    c\n   </mi>\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <msub>\n       <mi>\n        λ\n       </mi>\n       <mtext>\n        i\n       </mtext>\n      </msub>\n     </mfrac>\n     <mo>\n      -\n     </mo>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <msub>\n       <mi>\n        λ\n       </mi>\n       <mtext>\n        f\n       </mtext>\n      </msub>\n     </mfrac>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    63\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      34\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    00\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     8\n    </mn>\n   </msup>\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        6\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        00\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          12\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfrac>\n     <mo>\n      -\n     </mo>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mrow>\n       <mn>\n        8\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        43\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          12\n         </mn>\n        </mrow>\n       </msup>\n      </mrow>\n     </mfrac>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  9.6 fJ ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-2-quantum-physics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.21",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest one problem that is faced in dealing with the waste from nuclear fission reactors. Go on to outline how this problem is overcome.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Strontium-90 is a waste product from nuclear reactors that has a decay constant of 7.63 x 10\n   <sup>\n    −10\n   </sup>\n   s\n   <sup>\n    −1\n   </sup>\n   . Determine, in s, the time that it takes for the activity of strontium-90 to decay to 2% of its original activity.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the energy released when one mole of strontium-90 decays to 2% of its original activity forming the stable daughter product.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Strontium-90 decays to Zirconium-90 via two successive beta emissions. Discuss whether all the energy released when strontium-90 decays to Zirconium-90 can be transferred to a thermal form.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Waste is very hot …\n </p>\n <p>\n  … So has to be placed in cooling ponds to transfer the (thermal) energy away ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Waste is very radioactive … ✓\n </p>\n <p>\n  … So has to be placed in cooling ponds to absorb this radiation\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  … So has to be handled remotely\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  … So has to be transported in crash resistant casings / stored on site ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Waste will be radioactive for thousands of years … ✓\n </p>\n <p>\n  … So storage needs to be (eventually) in geologically stable areas ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Waste is very hot …\n </p>\n <p>\n  … So has to be placed in cooling ponds to transfer the (thermal) energy away ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Waste is very radioactive … ✓\n </p>\n <p>\n  … So has to be placed in cooling ponds to absorb this radiation\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  … So has to be handled remotely\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  … So has to be transported in crash resistant casings / stored on site ✓\n </p>\n <p>\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Waste will be radioactive for thousands of years … ✓\n </p>\n <p>\n  … So storage needs to be (eventually) in geologically stable areas ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ln\n   </mi>\n   <mo>\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      02\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      7\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      63\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        10\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mi>\n    t\n   </mi>\n  </math>\n  or equivalent seen ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    t\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    1\n   </mn>\n  </math>\n  Gs ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Idea that the Yttrium half life is much less than Strontium so can assume all Yttrium energy is included. ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    98\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    02\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     23\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      52\n     </mn>\n     <mo>\n      +\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     6\n    </mn>\n   </msup>\n  </math>\n  seen ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mo>\n      =\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      67\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      1030\n     </mn>\n     <mo>\n     </mo>\n     <mtext>\n      eV\n     </mtext>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  Answer\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      19\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    270\n   </mn>\n  </math>\n  GJ ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  (No)\n  <br/>\n  (anti-)neutrinos are released in (both) decays ✓\n </p>\n <p>\n  Carrying away energy because they interact poorly with matter ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Ignore arguments relating to energy transferred to nucleus as this appears eventually as thermal energy.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-4-fission"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the vertical component of the total momentum of the balls after the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the vertical component of the total momentum of the balls after the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Hence, calculate the vertical component of the velocity of ball B after the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the angle\n   <em>\n    θ\n   </em>\n   that the velocity of ball B makes with the initial direction of motion of ball A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Predict whether the collision is elastic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  Zero ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Zero ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    45\n   </mn>\n   <mo>\n    °\n   </mo>\n   <mo>\n    +\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mi>\n     y\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mi>\n     y\n    </mi>\n   </msub>\n  </math>\n  = «−»0.71 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The use of conservation of momentum in the horizontal direction, e.g.\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    cos\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    45\n   </mn>\n   <mo>\n    °\n   </mo>\n   <mo>\n    +\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mi>\n     x\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mi>\n     x\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mi>\n    cos\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    45\n   </mn>\n   <mo>\n    °\n   </mo>\n   <mo>\n    =\n   </mo>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n  </math>\n  «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mi>\n     tan\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n   <mfenced>\n    <mfrac>\n     <msub>\n      <mi>\n       v\n      </mi>\n      <mi>\n       y\n      </mi>\n     </msub>\n     <msub>\n      <mi>\n       v\n      </mi>\n      <mi>\n       x\n      </mi>\n     </msub>\n    </mfrac>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mn>\n    29\n   </mn>\n   <mo>\n    °\n   </mo>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Initial kinetic energy\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <msup>\n    <mfenced>\n     <mrow>\n      <mn>\n       2\n      </mn>\n      <mo>\n       .\n      </mo>\n      <mn>\n       0\n      </mn>\n     </mrow>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n   </mo>\n   <mfenced>\n    <mi>\n     m\n    </mi>\n   </mfenced>\n  </math>\n </p>\n <p>\n  Final kinetic energy\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <mfenced>\n    <mrow>\n     <msup>\n      <mfenced>\n       <mrow>\n        <mn>\n         1\n        </mn>\n        <mo>\n         .\n        </mo>\n        <mn>\n         0\n        </mn>\n       </mrow>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mo>\n      +\n     </mo>\n     <msup>\n      <mfenced>\n       <mrow>\n        <mn>\n         0\n        </mn>\n        <mo>\n         .\n        </mo>\n        <mn>\n         71\n        </mn>\n       </mrow>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n     <mo>\n      +\n     </mo>\n     <msup>\n      <mfenced>\n       <mrow>\n        <mn>\n         1\n        </mn>\n        <mo>\n         .\n        </mo>\n        <mn>\n         3\n        </mn>\n       </mrow>\n      </mfenced>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    (\n   </mo>\n   <mi>\n    m\n   </mi>\n   <mo>\n    )\n   </mo>\n  </math>\n  ✓\n </p>\n <p>\n  Final energy is less than the initial energy hence inelastic  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by an elastic collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State what is meant by an elastic collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   No unbalanced external forces act on the system of the curling stones. Outline why the momentum of the system does not change during the collision.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mtext>\n      B\n     </mtext>\n    </msub>\n    <mo>\n     =\n    </mo>\n    <mfrac>\n     <mrow>\n      <mi>\n       sin\n      </mi>\n      <mo>\n      </mo>\n      <mn>\n       70\n      </mn>\n      <mo>\n       °\n      </mo>\n     </mrow>\n     <mrow>\n      <mi>\n       sin\n      </mi>\n      <mo>\n      </mo>\n      <mn>\n       20\n      </mn>\n      <mo>\n       °\n      </mo>\n     </mrow>\n    </mfrac>\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mi>\n      A\n     </mi>\n    </msub>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine\n   <em>\n    v\n   </em>\n   <sub>\n    A\n   </sub>\n   . State the answer in terms of\n   <em>\n    v\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  No change in the kinetic energy of the system  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  No change in the kinetic energy of the system  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    F\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      p\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  , zero net force on the system implies that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    p\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  From Newton’s third law, the impulse delivered to A is equal but opposite to the impulse delivered to B, hence\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    p\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  for the system  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The vertical momentum is zero hence\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    70\n   </mn>\n   <mo>\n    °\n   </mo>\n   <mo>\n    -\n   </mo>\n   <mi>\n    m\n   </mi>\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mn>\n    20\n   </mn>\n   <mo>\n    °\n   </mo>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  «leading to the expected result»  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Energy is conserved hence\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <msup>\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mtext>\n      A\n     </mtext>\n    </msub>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    +\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <msup>\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mtext>\n      B\n     </mtext>\n    </msub>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  Eliminate\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     B\n    </mtext>\n   </msub>\n  </math>\n  using the result of part (a), e.g.,\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mtext>\n      A\n     </mtext>\n    </msub>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    +\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mi>\n        sin\n       </mi>\n       <mo>\n       </mo>\n       <mn>\n        70\n       </mn>\n       <mo>\n        °\n       </mo>\n      </mrow>\n      <mrow>\n       <mi>\n        sin\n       </mi>\n       <mo>\n       </mo>\n       <mn>\n        20\n       </mn>\n       <mo>\n        °\n       </mo>\n      </mrow>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <msup>\n    <msub>\n     <mi>\n      v\n     </mi>\n     <mtext>\n      A\n     </mtext>\n    </msub>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mtext>\n     A\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    342\n   </mn>\n   <mi>\n    v\n   </mi>\n  </math>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the component of momentum of the first curling stone perpendicular to the initial direction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the component of momentum of the first curling stone perpendicular to the initial direction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the velocity component of the first curling stone in the initial direction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the velocity of the first curling stone.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce whether this collision is elastic.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mn>\n     17\n    </mn>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      19\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      sin\n     </mi>\n     <mfenced>\n      <mn>\n       30\n      </mn>\n     </mfenced>\n    </mrow>\n    <mn>\n     17\n    </mn>\n   </mfrac>\n   <mfenced>\n    <mrow>\n     <mo>\n      =\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      279\n     </mn>\n     <mo>\n     </mo>\n     <mtext>\n      m\n     </mtext>\n     <mo>\n     </mo>\n     <msup>\n      <mtext>\n       s\n      </mtext>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        1\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mn>\n     17\n    </mn>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    sin\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      19\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      sin\n     </mi>\n     <mfenced>\n      <mn>\n       30\n      </mn>\n     </mfenced>\n    </mrow>\n    <mn>\n     17\n    </mn>\n   </mfrac>\n   <mfenced>\n    <mrow>\n     <mo>\n      =\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      279\n     </mn>\n     <mo>\n     </mo>\n     <mtext>\n      m\n     </mtext>\n     <mo>\n     </mo>\n     <msup>\n      <mtext>\n       s\n      </mtext>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        1\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     v\n    </mi>\n    <mn>\n     17\n    </mn>\n   </msub>\n   <mo>\n   </mo>\n   <mi>\n    cos\n   </mi>\n   <mo>\n   </mo>\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      17\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      19\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      50\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mi>\n      cos\n     </mi>\n     <mfenced>\n      <mn>\n       30\n      </mn>\n     </mfenced>\n    </mrow>\n    <mn>\n     17\n    </mn>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    02\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mtext>\n     m s\n    </mtext>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  2.04 m s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n <p>\n  At 7.9° to initial direction  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Total angle between stones is 38°, angle will be 90° when elastic\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Compares kinetic energies in a correct calculation (initial ke = 53 J, final ke = 34 J +2.4 J) ✓\n </p>\n <p>\n  <br/>\n  Collision is not elastic ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the recoil velocity of the cannon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the initial kinetic energy of the cannon.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest what happens to the vertical component of momentum of the cannon when the shell is fired.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Momentum must be conserved in initial direction of shell (20° above horizontal)  ✓\n </p>\n <p>\n  Recoil velocity is 4.2 m s\n  <sup>\n   −1\n  </sup>\n  at 20° below horizontal  ✓\n </p>\n <p>\n  3.95 m s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Momentum must be conserved in initial direction of shell (20° above horizontal)  ✓\n </p>\n <p>\n  Recoil velocity is 4.2 m s\n  <sup>\n   −1\n  </sup>\n  at 20° below horizontal  ✓\n </p>\n <p>\n  3.95 m s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mi>\n     k\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mn>\n       1\n      </mn>\n      <mn>\n       2\n      </mn>\n     </mfrac>\n     <mi>\n      m\n     </mi>\n     <msup>\n      <mi>\n       v\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mn>\n    11\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n   </mo>\n   <mtext>\n    kJ\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Must be transferred into the ground beneath the cannon\n  <strong>\n   OR\n  </strong>\n  into the suspension system  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the angular impulse delivered to the flywheel during the acceleration.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the average magnitude of\n   <em>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      F\n     </mi>\n    </math>\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    two\n   </strong>\n   assumptions of your calculation in part (b).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    L\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    l\n   </mtext>\n   <mi>\n    Δ\n   </mi>\n   <mi>\n    ω\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <msup>\n    <mn>\n     15\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    10\n   </mn>\n  </math>\n  «N m s»  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    L\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    l\n   </mtext>\n   <mi>\n    Δ\n   </mi>\n   <mi>\n    ω\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <msup>\n    <mn>\n     15\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    10\n   </mn>\n  </math>\n  «N m s»  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Average torque\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      L\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      10\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      24\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    42\n   </mn>\n  </math>\n  «N m» ✓\n </p>\n <p>\n  Average force\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     τ\n    </mi>\n    <mi>\n     R\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      42\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      15\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n  </math>\n  «N» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  No other forces than\n  <em>\n   F\n  </em>\n  provide the torque ✓\n </p>\n <p>\n  The thread unwinds without slipping ✓\n </p>\n <p>\n  The thread is weightless ✓\n </p>\n <p>\n  <em>\n   F\n  </em>\n  is always tangent to the flywheel ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the angular acceleration of the ring;\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the angular velocity of the ring after a time of 5.0 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the angular impulse delivered to the disc and to the ring during the first 5.0 s.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the final kinetic energy of the disc and the ring.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    α\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     τ\n    </mi>\n    <mi>\n     l\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      32\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       25\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    10\n   </mn>\n  </math>\n  «rad s\n  <sup>\n   −2\n  </sup>\n  »  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    α\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     τ\n    </mi>\n    <mi>\n     l\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      32\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       25\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    10\n   </mn>\n  </math>\n  «rad s\n  <sup>\n   −2\n  </sup>\n  »  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    10\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    50\n   </mn>\n  </math>\n  «rad s\n  <sup>\n   −1\n  </sup>\n  »  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  The angular impulse is the product of torque and time ✓\n </p>\n <p>\n  Both factors are the same so the angular impulse is the same ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The disc has a smaller moment of inertia «because its mass is distributed closer to the axis of rotation» ✓\n </p>\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mi>\n     k\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msup>\n     <mi>\n      L\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi>\n      l\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  , the disc will achieve a greater kinetic energy «because\n  <em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     L\n    </mi>\n   </math>\n  </em>\n  is the same for both» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.HL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   For the propellor,\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     L\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mn>\n     5\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     0\n    </mn>\n    <mtext>\n     cm\n    </mtext>\n   </math>\n   and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     M\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mn>\n     0\n    </mn>\n    <mo>\n     .\n    </mo>\n    <mn>\n     035\n    </mn>\n    <mo>\n    </mo>\n    <mtext>\n     kg\n    </mtext>\n   </math>\n   .\n  </p>\n  <p>\n   Calculate the moment of inertia of the propellor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the angular impulse that acts on the propellor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, using your answer to (b)(i), the time taken by the propellor to attain this rotational speed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the effect of the angular impulse on the body of the aeroplane.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <msup>\n    <mtext>\n     kg m\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <msup>\n    <mtext>\n     kg m\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  190 rev s\n  <sup>\n   −1\n  </sup>\n  = 1190 rad s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    L\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mtext>\n    Δ\n   </mtext>\n   <mfenced>\n    <mrow>\n     <mi>\n      I\n     </mi>\n     <mi>\n      ω\n     </mi>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1190\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      3\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <msup>\n    <mtext>\n     kg m\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     s\n    </mi>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    t\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      L\n     </mi>\n    </mrow>\n    <mi>\n     τ\n    </mi>\n   </mfrac>\n  </math>\n  used ✓\n </p>\n <p>\n  0.25 s ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  As the motor is internal, angular momentum is conserved (ignoring the torques due to resistive forces) ✓\n </p>\n <p>\n  The body of the plane will (try to) rotate in the opposite direction to the propellor ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-4-rigid-body-mechanics"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.10",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the pressure of the gas in the container.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the mass of the gas in the container.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the average translational speed of the gas particles.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The temperature of the gas in the container is increased.\n  </p>\n  <p>\n   Explain, using the kinetic theory, how this change leads to a change in pressure in the container.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    p\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      R\n     </mi>\n     <mi>\n      T\n     </mi>\n    </mrow>\n    <mi>\n     V\n    </mi>\n   </mfrac>\n  </math>\n  seen\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    12\n   </mn>\n   <mo>\n   </mo>\n   <mtext>\n    kPa\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    p\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      n\n     </mi>\n     <mi>\n      R\n     </mi>\n     <mi>\n      T\n     </mi>\n    </mrow>\n    <mi>\n     V\n    </mi>\n   </mfrac>\n  </math>\n  seen\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    12\n   </mn>\n   <mo>\n   </mo>\n   <mtext>\n    kPa\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <mtext>\n    kg\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       3\n      </mn>\n      <mi>\n       P\n      </mi>\n      <mi>\n       V\n      </mi>\n     </mrow>\n     <mi>\n      M\n     </mi>\n    </mfrac>\n   </msqrt>\n   <mo>\n    =\n   </mo>\n   <mn>\n    450\n   </mn>\n   <mo>\n   </mo>\n   <msup>\n    <mtext>\n     m s\n    </mtext>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  increased temperature means increased average KE and hence increased average translational speed ✓\n </p>\n <p>\n  This increases the momentum transfer at the walls for each collision /\n  <em>\n   mv\n  </em>\n  is greater per collision ✓\n </p>\n <p>\n  This increases the frequency of collisions at the walls / particles cover the distance between walls more quickly ✓\n </p>\n <p>\n  Ideas that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     F\n    </mi>\n    <mtext>\n     wall\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      p\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  AND\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    P\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     F\n    </mi>\n    <mi>\n     A\n    </mi>\n   </mfrac>\n  </math>\n  (can be in words) so that force increases and pressure\n  <span style=\"text-decoration:underline;\">\n   increases\n  </span>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.11",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A comet orbits the Sun in an elliptical orbit. A and B are two positions of the comet.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n  <p style=\"text-align:left;\">\n   Explain, with reference to Kepler’s second law of planetary motion, the change in the kinetic energy of the comet as it moves from A to B.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   An asteroid (minor planet) orbits the Sun in a circular orbit of radius 4.5 × 10\n   <sup>\n    8\n   </sup>\n   km. The radius of Earth’s orbit is 1.5 × 10\n   <sup>\n    8\n   </sup>\n   km. Calculate, in years, the orbital period of the asteroid.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The areas swept out in unit time by the Sun-comet line are the same at A and B ✓\n </p>\n <p>\n  At B, the distance is greater hence the orbital speed/distance moved in unit time is lower «so that the area remains the same» ✓\n </p>\n <p>\n  A decrease in speed means that the kinetic energy also decreases ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The areas swept out in unit time by the Sun-comet line are the same at A and B ✓\n </p>\n <p>\n  At B, the distance is greater hence the orbital speed/distance moved in unit time is lower «so that the area remains the same» ✓\n </p>\n <p>\n  A decrease in speed means that the kinetic energy also decreases ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  An attempt to use Kepler’s 3\n  <sup>\n   rd\n  </sup>\n  law, e.g.,\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mi>\n       T\n      </mi>\n      <mn>\n       1\n      </mn>\n     </mfrac>\n    </mfenced>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n     </mfrac>\n    </mfenced>\n    <mn>\n     3\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mfenced>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n     </mfrac>\n    </mfenced>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 5.2 «years» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.12",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     k\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mfrac>\n     <mn>\n      1\n     </mn>\n     <mrow>\n      <mi>\n       G\n      </mi>\n      <mi>\n       M\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p style=\"text-align:left;\">\n   The table gives data relating to the two moons of Mars.\n  </p>\n  <p style=\"text-align:left;\">\n  </p>\n  <table border=\"1\" style=\"height:68px;margin-left:auto;margin-right:auto;\" width=\"245\">\n   <tbody>\n    <tr>\n     <td style=\"width:74.8295px;text-align:center;\">\n      Moon\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      <em>\n       T\n      </em>\n      / hour\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      <em>\n       r\n      </em>\n      / Mm\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:74.8295px;\">\n      Phobos\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      7.66\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      9.38\n     </td>\n    </tr>\n    <tr>\n     <td style=\"width:74.8295px;\">\n      Deimos\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      30.4\n     </td>\n     <td style=\"width:74.8295px;text-align:center;\">\n      -\n     </td>\n    </tr>\n   </tbody>\n  </table>\n  <p>\n  </p>\n  <p>\n   Determine\n   <em>\n    r\n   </em>\n   for Deimos.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the mass of Mars.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Equates centripetal force (with Newton’s law of gravitation\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mi>\n    r\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n     <mi>\n      m\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  )\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n    </mrow>\n    <mi>\n     ω\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <br/>\n  Uses both equation correctly with clear re-arrangement ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Equates centripetal force (with Newton’s law of gravitation\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mi>\n    r\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n     <mi>\n      m\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  )\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n    </mrow>\n    <mi>\n     ω\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <br/>\n  Uses both equation correctly with clear re-arrangement ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msubsup>\n    <mi>\n     r\n    </mi>\n    <mtext>\n     De\n    </mtext>\n    <mn>\n     3\n    </mn>\n   </msubsup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <msubsup>\n      <mi>\n       T\n      </mi>\n      <mtext>\n       De\n      </mtext>\n      <mn>\n       2\n      </mn>\n     </msubsup>\n     <msubsup>\n      <mi>\n       r\n      </mi>\n      <mtext>\n       Ph\n      </mtext>\n      <mn>\n       3\n      </mn>\n     </msubsup>\n    </mrow>\n    <msubsup>\n     <mi>\n      T\n     </mi>\n     <mtext>\n      Ph\n     </mtext>\n     <mn>\n      2\n     </mn>\n    </msubsup>\n   </mfrac>\n  </math>\n  seen or correct substitution ✓\n </p>\n <p>\n  23.5 Mm ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Converts\n  <em>\n   T\n  </em>\n  to 27.6 ks\n  <strong>\n   and\n  </strong>\n  converts to m from Mm ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    k\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    33\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      14\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «s\n  <sup>\n   2\n  </sup>\n  m\n  <sup>\n   −3\n  </sup>\n  » ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    M\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mrow>\n     <mi>\n      k\n     </mi>\n     <mi>\n      G\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  »\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    04\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     23\n    </mn>\n   </msup>\n  </math>\n  «kg» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   MP1 can be implicit\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.13",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     T\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mfrac>\n      <mn>\n       3\n      </mn>\n      <mn>\n       2\n      </mn>\n     </mfrac>\n    </msup>\n   </math>\n   for the planets in a solar system where\n   <em>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      T\n     </mi>\n    </math>\n   </em>\n   is the orbital period of a planet and\n   <em>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      r\n     </mi>\n    </math>\n   </em>\n   is the radius of circular orbit of planet about its sun.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline what is meant by one astronomical unit (1 AU)\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Pluto is a dwarf planet of the Sun that orbits at a distance of 5.9 × 10\n   <sup>\n    9\n   </sup>\n   km from the Sun. Determine, in years, the orbital period of Pluto.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Equates centripetal force (with Newton’s law gravitation\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mi>\n    r\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n     <mi>\n      m\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  )\n </p>\n <p>\n  AND\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n    </mrow>\n    <mi>\n     ω\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  leads to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     T\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mi>\n     r\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfenced>\n    <mfrac>\n     <mrow>\n      <mn>\n       4\n      </mn>\n      <msup>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msup>\n     </mrow>\n     <mrow>\n      <mi>\n       G\n      </mi>\n      <mi>\n       M\n      </mi>\n     </mrow>\n    </mfrac>\n   </mfenced>\n  </math>\n  hence result ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Equates centripetal force (with Newton’s law gravitation\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    m\n   </mi>\n   <mi>\n    r\n   </mi>\n   <mo>\n   </mo>\n   <msup>\n    <mi>\n     ω\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mi>\n      G\n     </mi>\n     <mi>\n      M\n     </mi>\n     <mi>\n      m\n     </mi>\n    </mrow>\n    <msup>\n     <mi>\n      r\n     </mi>\n     <mn>\n      2\n     </mn>\n    </msup>\n   </mfrac>\n  </math>\n  )\n </p>\n <p>\n  AND\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n    </mrow>\n    <mi>\n     ω\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  leads to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msup>\n    <mi>\n     T\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <msup>\n    <mi>\n     r\n    </mi>\n    <mn>\n     3\n    </mn>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfenced>\n    <mfrac>\n     <mrow>\n      <mn>\n       4\n      </mn>\n      <msup>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mn>\n        2\n       </mn>\n      </msup>\n     </mrow>\n     <mrow>\n      <mi>\n       G\n      </mi>\n      <mi>\n       M\n      </mi>\n     </mrow>\n    </mfrac>\n   </mfenced>\n  </math>\n  hence result ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  «mean» Distance from centre of Sun to centre of Earth ✓\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  Suitable ratio in terms of parsec and arcsecond ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msubsup>\n    <mi>\n     T\n    </mi>\n    <mtext>\n     Pluto\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msubsup>\n   <mo>\n    =\n   </mo>\n   <msubsup>\n    <mi>\n     T\n    </mi>\n    <mtext>\n     Earth\n    </mtext>\n    <mn>\n     2\n    </mn>\n   </msubsup>\n   <mfrac>\n    <msubsup>\n     <mi>\n      r\n     </mi>\n     <mtext>\n      Pluto\n     </mtext>\n     <mn>\n      3\n     </mn>\n    </msubsup>\n    <msubsup>\n     <mi>\n      r\n     </mi>\n     <mtext>\n      Earth\n     </mtext>\n     <mn>\n      3\n     </mn>\n    </msubsup>\n   </mfrac>\n  </math>\n  used ✓\n </p>\n <p>\n  Earth orbital radius = 1.5 × 10\n  <sup>\n   11\n  </sup>\n  m (from AU)\n  <strong>\n   AND\n  </strong>\n  uses 1 earth year (in any units) ✓\n </p>\n <p>\n  247 years ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.14",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain the magnitude of the force on a length of 0.50 m of wire Q due to the current in P.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the current in wire Q.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the direction of the current in R, relative to the current in P.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Deduce the current in R.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  From Newton’s third law, the force on a length of Q is equal but opposite to the force on the same length of P ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <mtext>\n    N\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  From Newton’s third law, the force on a length of Q is equal but opposite to the force on the same length of P ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <mtext>\n    N\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      50\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mi>\n       Q\n      </mi>\n     </msub>\n    </mrow>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mi mathvariant=\"normal\">\n      π\n     </mi>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      10\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     I\n    </mi>\n    <mi>\n     Q\n    </mi>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  «A» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Opposite ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  The force on Q due to R must have the same magnitude «but opposite direction» as the force on Q due to P ✓\n </p>\n <p>\n  The distance is halved therefore one half of the current is needed to produce the same force, so 2.5 A ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.15",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the fundamental SI units for permeability of free space,\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      μ\n     </mi>\n     <mn>\n      0\n     </mn>\n    </msub>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   magnetic field at A;\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   magnetic force on section AB of the loop.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   magnitude of the net force acting on the loop;\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   direction of the net force acting on the loop.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  kg m s\n  <sup>\n   −2\n  </sup>\n  A\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  kg m s\n  <sup>\n   −2\n  </sup>\n  A\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Into the page ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Repulsive / to the right ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          7\n         </mn>\n        </mrow>\n       </msup>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        2\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        0\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        0\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        30\n       </mn>\n      </mrow>\n     </mfrac>\n     <mo>\n      -\n     </mo>\n     <mfrac>\n      <mrow>\n       <mn>\n        4\n       </mn>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mo>\n        ×\n       </mo>\n       <msup>\n        <mn>\n         10\n        </mn>\n        <mrow>\n         <mo>\n          -\n         </mo>\n         <mn>\n          7\n         </mn>\n        </mrow>\n       </msup>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        2\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        0\n       </mn>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        1\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        0\n       </mn>\n      </mrow>\n      <mrow>\n       <mn>\n        2\n       </mn>\n       <mi mathvariant=\"normal\">\n        π\n       </mi>\n       <mo>\n        ×\n       </mo>\n       <mn>\n        0\n       </mn>\n       <mo>\n        .\n       </mo>\n       <mn>\n        50\n       </mn>\n      </mrow>\n     </mfrac>\n    </mrow>\n   </mfenced>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    20\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      7\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «N»  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Repulsive / to the right ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.16",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the magnetic force acting on the 15 Ω wire due to the current in the 30 Ω wire.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The magnetic field strength of Earth’s field at the location of the wires is 45 μT.\n  </p>\n  <p>\n   Discuss the assumption made in this question.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Use of combination of resistors OR\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    V\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    I\n   </mi>\n   <mi>\n    R\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  To show that current in 30 Ω wire is 5.0 A ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     F\n    </mi>\n    <mi>\n     I\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mn>\n       15\n      </mn>\n     </msub>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mn>\n       30\n      </mn>\n     </msub>\n    </mrow>\n    <mi>\n     r\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      10\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mi>\n      F\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      25\n     </mn>\n     <mo>\n      =\n     </mo>\n    </mrow>\n   </mfenced>\n   <mo>\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  N ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Use of combination of resistors OR\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    V\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    I\n   </mi>\n   <mi>\n    R\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  To show that current in 30 Ω wire is 5.0 A ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     F\n    </mi>\n    <mi>\n     I\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mn>\n       15\n      </mn>\n     </msub>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mn>\n       30\n      </mn>\n     </msub>\n    </mrow>\n    <mi>\n     r\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      10\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mi>\n      F\n     </mi>\n     <mo>\n      =\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        5\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      25\n     </mn>\n     <mo>\n      =\n     </mo>\n    </mrow>\n   </mfenced>\n   <mo>\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  N ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    F\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mi>\n    B\n   </mi>\n   <mi>\n    I\n   </mi>\n   <mi>\n    l\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    45\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      6\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    10\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    25\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    15\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      4\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <mtext>\n    N\n   </mtext>\n  </math>\n  ✓\n </p>\n <p>\n  Concludes that the assumption is not valid ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.17",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the magnetic field lines due to A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the magnetic field lines due to A.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State and explain, using your diagram, why a force acts on B due to A in the plane of the paper.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Both wires are 7.5 m long and are 0.25 m apart. The current in both wires is 12 A. Determine the force that acts on one wire due to the other.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  At least one circle centred on centre of wire A\n  <br/>\n  <strong>\n   <em>\n    AND\n    <br/>\n   </em>\n  </strong>\n  indication of clockwise direction ✓\n </p>\n <p>\n  More than 2 circles with increasing separation between circles from centre outwards (by eye) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  At least one circle centred on centre of wire A\n  <br/>\n  <strong>\n   <em>\n    AND\n    <br/>\n   </em>\n  </strong>\n  indication of clockwise direction ✓\n </p>\n <p>\n  More than 2 circles with increasing separation between circles from centre outwards (by eye) ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  B lies in magnetic field of A OWTTE ✓\n </p>\n <p>\n  Explained use of appropriate rule together with drawn indication of rule operating in this case ✓\n </p>\n <p>\n  To show that force on B is to left and in plane of paper ✓\n  <br/>\n  <em>\n   <strong>\n    OR\n    <br/>\n   </strong>\n  </em>\n  Magnetic field lines of B merge with those of A to give combined field line pattern ✓\n </p>\n <p>\n  Sketch of combined pattern to show null point somewhere on line between wires. ✓\n </p>\n <p>\n  Wires will move to reduce stored energy and this is achieved by moving together so force on B is to left ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mi>\n     F\n    </mi>\n    <mi>\n     l\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mtext>\n       A\n      </mtext>\n     </msub>\n     <msub>\n      <mi>\n       I\n      </mi>\n      <mtext>\n       B\n      </mtext>\n     </msub>\n    </mrow>\n    <mi>\n     r\n    </mi>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        7\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       12\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      25\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      4\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n   </mo>\n   <mtext>\n    N\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-3-motion-in-electromagnetic-fields"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.18",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline, with reference to the decay equation above, the role of chain reactions in the operation of a nuclear power station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate, in MeV, the energy released in the reaction.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Two nuclides present in spent nuclear fuel\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Cs\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      55\n     </mn>\n     <mn>\n      137\n     </mn>\n    </mmultiscripts>\n   </math>\n   are  and cerium-144 (\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Ce\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      58\n     </mn>\n     <mn>\n      144\n     </mn>\n    </mmultiscripts>\n   </math>\n   ). The initial activity of a sample of pure\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Ce\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      58\n     </mn>\n     <mn>\n      144\n     </mn>\n    </mmultiscripts>\n   </math>\n   is about 40 times greater than the activity of the same amount of pure\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mmultiscripts>\n     <mtext>\n      Cs\n     </mtext>\n     <mprescripts>\n     </mprescripts>\n     <mn>\n      55\n     </mn>\n     <mn>\n      137\n     </mn>\n    </mmultiscripts>\n   </math>\n   .\n  </p>\n  <p>\n   Discuss which of the two nuclides is more likely to require long-term storage once removed from the reactor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The four neutrons released in the reaction may initiate further fissions ✓\n </p>\n <p>\n  «If sufficient U-235 is available,» the reaction is self-sustained ✓\n </p>\n <p>\n  Allowing for the continuous production of energy ✓\n </p>\n <p>\n  The number of neutrons available is controlled with control rods «to maintain the desired reaction rate» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The four neutrons released in the reaction may initiate further fissions ✓\n </p>\n <p>\n  «If sufficient U-235 is available,» the reaction is self-sustained ✓\n </p>\n <p>\n  Allowing for the continuous production of energy ✓\n </p>\n <p>\n  The number of neutrons available is controlled with control rods «to maintain the desired reaction rate» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    137\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    389\n   </mn>\n   <mo>\n    +\n   </mo>\n   <mn>\n    95\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    460\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mn>\n    235\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    7\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    591\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  169 «MeV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  «For the same number of nuclei,» the activity is inversely related to half-life ✓\n </p>\n <p>\n  Thus\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mtext>\n     Cs\n    </mtext>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     55\n    </mn>\n    <mn>\n     137\n    </mn>\n   </mmultiscripts>\n  </math>\n  has a longer half-life and will likely require longer storage ✓\n </p>\n <p>\n  Half-lives of their decay products need also be considered when planning storage ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-3-radioactive-decay",
+      "e-4-fission"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.19",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Compare and contrast spontaneous and neutron-induced nuclear fission.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Every neutron-induced fission reaction of uranium-235 releases an energy of about 200 MeV. A nuclear power station transfers an energy of about 2.4 GJ per second.\n  </p>\n  <p>\n   Determine the mass of uranium-235 that undergoes fission in one day in this power station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    two\n   </strong>\n   properties of the products of nuclear fission due to which the spent nuclear fuel needs to be kept safe.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Spontaneous fission occurs with no external influence, neutron-induced fission requires an interaction with a neutron «of appropriate energy» ✓\n </p>\n <p>\n  Both result in the release of energy\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  both have a large number of possible pairs of products ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Spontaneous fission occurs with no external influence, neutron-induced fission requires an interaction with a neutron «of appropriate energy» ✓\n </p>\n <p>\n  Both result in the release of energy\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  both have a large number of possible pairs of products ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Fissions per day\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      4\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       9\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      60\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      24\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      200\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        19\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n   </mfrac>\n  </math>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     24\n    </mn>\n   </msup>\n  </math>\n  » ✓\n </p>\n <p>\n  Mass of uranium\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       24\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      05\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       23\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    235\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  2.5 «kg» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Have relatively short half-lives / high activity ✓\n </p>\n <p>\n  Their decay products are «usually» also radioactive ✓\n </p>\n <p>\n  Volatile / chemically active ✓\n </p>\n <p>\n  Biologically active / easily absorbed by living matter ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-3-radioactive-decay",
+      "e-4-fission"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A tram is just leaving the lower railway station.\n  </p>\n  <p>\n   Determine, as the train leaves the lower station,\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the pd across the motor of the tram,\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the mechanical power output of the motor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss the variation in the power output of the motor with distance from the lower station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The total friction in the system acting on the tram is equivalent to an opposing force of 750 N.\n  </p>\n  <p>\n   For one particular journey, the tram is full of passengers.\n  </p>\n  <p>\n   Estimate the maximum speed\n   <em>\n    v\n   </em>\n   of the tram as it leaves the lower station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The tram travels at\n   <em>\n    v\n   </em>\n   throughout the journey. Two trams are available so that one is returning to the lower station on another line while the other is travelling to the village. The journeys take the same time.\n  </p>\n  <p>\n   It takes 1.5 minutes to unload and 1.5 minutes to load each tram. Ignore the time taken to accelerate the tram at the beginning and end of the journey.\n  </p>\n  <p>\n   Estimate the maximum number of passengers that can be carried up to the village in one hour.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (e)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   There are eight wheels on each tram with a brake system for each wheel. A pair of brake pads clamp firmly onto an annulus made of steel.\n  </p>\n  <p>\n   The train comes to rest from speed\n   <em>\n    v\n   </em>\n   . Ignore the energy transferred to the brake pads and the change in the gravitational potential energy of the tram during the braking.\n  </p>\n  <p>\n   Calculate the temperature change in each steel annulus as the tram comes to rest.\n  </p>\n  <p>\n   Data for this question\n  </p>\n  <p style=\"padding-left:60px;\">\n   The inner radius of the annulus is 0.40 m and the outer radius is 0.50 m.\n  </p>\n  <p style=\"padding-left:60px;\">\n   The thickness of the annulus is 25 mm.\n  </p>\n  <p style=\"padding-left:60px;\">\n   The density of the steel is 7860 kg m\n   <sup>\n    −3\n   </sup>\n  </p>\n  <p style=\"padding-left:60px;\">\n   The specific heat capacity of the steel is 420 J kg\n   <sup>\n    −1\n   </sup>\n   K\n   <sup>\n    −1\n   </sup>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (f)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The speed of the tram is measured by detecting a beam of microwaves of wavelength 2.8 cm reflected from the rear of the tram as it moves away from the station. Predict the change in wavelength of the microwaves at the stationary microwave detector in the station.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Resistance of cable = 0.072 Ω ✓\n </p>\n <p>\n  Pd is (500 − 0.072 × 600) = 457 V ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Resistance of cable = 0.072 Ω ✓\n </p>\n <p>\n  Pd is (500 − 0.072 × 600) = 457 V ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Power input = 457 × 600 = 274 kW ✓\n </p>\n <p>\n  Power output = 0.9 × 274 = 247 kW ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The pd across the motor increases as the tram travels up the track ✓\n </p>\n <p>\n  (As the current is constant), the power output also rises ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Total weight of tram = 75 × 710 + 5 × 10\n  <sup>\n   4\n  </sup>\n  = 1.03 × 10\n  <sup>\n   5\n  </sup>\n  N ✓\n </p>\n <p>\n  Total force down track = 750 + 1.03 × 10\n  <sup>\n   5\n  </sup>\n  sin (10) = 1.87 × 10\n  <sup>\n   4\n  </sup>\n  N ✓\n </p>\n <p>\n  Use of\n  <em>\n   P\n  </em>\n  =\n  <em>\n   F ×\n  </em>\n  <em>\n   v ✓\n  </em>\n </p>\n <p>\n  (\n  <em>\n   v\n  </em>\n  = 247 000 ÷ 1.87 × 10\n  <sup>\n   4\n  </sup>\n  )= 13 m s\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Time for run =\n  <em>\n   s/v\n  </em>\n  = 3000 ÷ 13.2 = 227 s ✓\n </p>\n <p>\n  3 minutes loading = 180 s\n </p>\n <p>\n  So one trip = 407 s ✓\n </p>\n <p>\n  And there are 3600/407 trips per hour = 8.84 ✓\n </p>\n <p>\n  So 8\n  <em>\n   complete\n  </em>\n  trips with 75 = 600 passengers ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (e)\n </div><div class=\"card-body\">\n <p>\n  Work leading to volume = 7.1 x 10\n  <sup>\n   −3\n  </sup>\n  m\n  <sup>\n   3\n  </sup>\n  ✓\n </p>\n <p>\n  Work leading to mass of steel = 55 .8 kg ✓\n </p>\n <p>\n  Kinetic Energy transferred per annulus =\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mstyle displaystyle=\"true\">\n      <mfrac>\n       <mn>\n        1\n       </mn>\n       <mn>\n        2\n       </mn>\n      </mfrac>\n     </mstyle>\n     <mi>\n      m\n     </mi>\n     <msup>\n      <mi>\n       v\n      </mi>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n    <mn>\n     8\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     16\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      03\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      9\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      81\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     13\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n </p>\n <p>\n  = 110 kJ ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mtext>\n    Δ\n   </mtext>\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <msub>\n     <mi>\n      E\n     </mi>\n     <mtext>\n      k\n     </mtext>\n    </msub>\n    <mrow>\n     <mi>\n      m\n     </mi>\n     <mi>\n      c\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      1\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n    </mrow>\n    <mrow>\n     <mn>\n      55\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      8\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      420\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    7\n   </mn>\n  </math>\n  K ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (f)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      λ\n     </mi>\n    </mrow>\n    <mi>\n     λ\n    </mi>\n   </mfrac>\n   <mo>\n    ≈\n   </mo>\n   <mfrac>\n    <mi>\n     v\n    </mi>\n    <mi>\n     c\n    </mi>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  1.2 nm ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "b-the-particulate-nature-of-matter",
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "a-1-kinematics",
+      "a-2-forces-and-momentum",
+      "a-3-work-energy-and-power",
+      "b-1-thermal-energy-transfers",
+      "b-5-current-and-circuits",
+      "c-5-doppler-effect"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.20",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    one\n   </strong>\n   source of the radioactive waste products from nuclear fission reactions.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how this waste is treated after it has been removed from the fission reactor.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Fission fragments from the fuel rods\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  activated materials in (e.g.) fuel rod casings\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  nuclei formed by neutron activation from U-235\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  stated products, e.g. Pu, U-236 etc. ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Fission fragments from the fuel rods\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  activated materials in (e.g.) fuel rod casings\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  nuclei formed by neutron activation from U-235\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n  stated products, e.g. Pu, U-236 etc. ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Waste (fuel rod) is placed in cooling ponds for a number of years ✓\n </p>\n <p>\n  After most active products have decayed the uranium is separated to be recycled/reprocessed ✓\n </p>\n <p>\n  The remaining highly active waste is vitrified / made into a solid form ✓\n </p>\n <p>\n  And stored (deep) underground ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "e-4-fission"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the initial temperature gradient through the base of the pot. State an appropriate unit for your answer.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the initial rate, in kW, of thermal energy transfer by conduction through the base of the pot.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The electrical power rating of the hot plate is 1 kW. Comment, with reference to this value, on your answer in (a)(ii).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Describe how thermal energy is distributed throughout the volume of the water in the pot.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      180\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      10\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      005\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     4\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  K m\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      180\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      10\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      005\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     4\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  K m\n  <sup>\n   −1\n  </sup>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  45 × 0.15 × 3.4 × 10\n  <sup>\n   4\n  </sup>\n  = 230 «kW» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The answer is unrealistically large / impossible to sustain ✓\n </p>\n <p>\n  Due to much lower actual power, a lower temperature gradient through the base of the pot is quickly established ✓\n </p>\n <p>\n  The surface of the hot plate becomes colder from contact with pot\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  there is a temperature gradient also through the hot plate ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  By means of convection currents ✓\n </p>\n <p>\n  That arise due to density difference between hot and cold water ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The temperature of the air outside of the bottle is 20 °C. The surface area of the bottle is 4.0 × 10\n   <sup>\n    −2\n   </sup>\n   m\n   <sup>\n    2\n   </sup>\n   . Calculate the initial rate of thermal energy transfer by conduction through the bottle.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Explain why the rate calculated in part (a) is decreasing.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Estimate the initial rate of the change of the temperature of the water in the bottle. State your answer in K s\n   <sup>\n    −1\n   </sup>\n   . The specific heat capacity of water is 4200 J kg\n   <sup>\n    −1\n   </sup>\n   K\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    90\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      60\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      003\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  480 «W» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    90\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      2\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      60\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      20\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      003\n     </mn>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  480 «W» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The temperature gradient decreases as the water cools down ✓\n </p>\n <p>\n  The rate of energy transfer is proportional to the temperature gradient ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    480\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    4200\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    50\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      T\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      T\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    23\n   </mn>\n  </math>\n  «K s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss the mechanism that accounts for the greatest rate of energy transfer when:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    T\n   </em>\n   <sub>\n    t\n   </sub>\n   &gt;\n   <em>\n    T\n   </em>\n   <sub>\n    b\n   </sub>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    T\n   </em>\n   <sub>\n    b\n   </sub>\n   &gt;\n   <em>\n    T\n   </em>\n   <sub>\n    t\n   </sub>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The liquid now freezes so that the vertical column is entirely of ice. Suggest how your answer to (a)(ii) will change.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  Conduction identified ✓\n </p>\n <p>\n  energy transfer through interaction of particles in liquid at atomic scale ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  Conduction identified ✓\n </p>\n <p>\n  energy transfer through interaction of particles in liquid at atomic scale ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Convection identified ✓\n </p>\n <p>\n  energy transfer through movement of bodies of liquid at different densities ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  the solid cannot now move relative to material above it ✓\n </p>\n <p>\n  so conduction only ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The side of the rod can be unlagged or ideally lagged. Explain the difference in energy transfer for these two cases.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the temperature at Y.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The temperatures are now reversed so that X is at 45 °C and Z is at 90 °C. Show that the rate of energy transfer is unchanged.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  When ideally lagged, no energy transfer can occur through the sides of the bar. ✓\n </p>\n <p>\n  All the power input/ energy input per second at one end will emerge at the other end. ✓\n </p>\n <p>\n  When unlagged, energy transfer occurs from the sides of the bar and the power /energy input per second at input &gt; the energy output per second at the other end. ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Max 1 if answer does not refer to rate of energy transfer in MP2 and MP3.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  When ideally lagged, no energy transfer can occur through the sides of the bar. ✓\n </p>\n <p>\n  All the power input/ energy input per second at one end will emerge at the other end. ✓\n </p>\n <p>\n  When unlagged, energy transfer occurs from the sides of the bar and the power /energy input per second at input &gt; the energy output per second at the other end. ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Max 1 if answer does not refer to rate of energy transfer in MP2 and MP3.\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  idea that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mi>\n      d\n     </mi>\n     <mi>\n      Q\n     </mi>\n    </mrow>\n    <mrow>\n     <mi>\n      d\n     </mi>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  is same in both bars because lagged ✓\n </p>\n <p>\n  work to show that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    90\n   </mn>\n   <mo>\n    -\n   </mo>\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mfenced>\n    <mrow>\n     <mi>\n      θ\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      45\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n  <br/>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n  <br/>\n  Temperature difference across XY is twice temperature difference across YZ ✓\n </p>\n <p>\n  solves to show that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    θ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    60\n   </mn>\n   <mo>\n   </mo>\n   <mo>\n    °\n   </mo>\n   <mtext>\n    C\n   </mtext>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  repeats calculation to show that\n  <em>\n   θ\n  </em>\n  = 75 °C ✓\n </p>\n <p>\n  temperature difference across YZ is still 15 K which gives the same rate of energy transfer (but in opposite direction) ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State\n   <strong>\n    two\n   </strong>\n   assumptions of the kinetic model of an ideal gas that refer to intermolecular collisions.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss how the motion of the molecules of a gas gives rise to pressure in the gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The average speed of the molecules of a gas is 500 m s\n   <sup>\n    −1\n   </sup>\n   . The density of the gas is 1.2 kg m\n   <sup>\n    −3\n   </sup>\n   . Calculate, in kPa, the pressure of the gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The collisions are elastic ✓\n </p>\n <p>\n  The time for a collision is much shorter than the time between collisions ✓\n </p>\n <p>\n  The intermolecular forces are only present during collisions ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  The collisions are elastic ✓\n </p>\n <p>\n  The time for a collision is much shorter than the time between collisions ✓\n </p>\n <p>\n  The intermolecular forces are only present during collisions ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  The momentum of a molecule changes when it collides with a container wall ✓\n </p>\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    F\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      p\n     </mi>\n    </mrow>\n    <mrow>\n     <mtext>\n      Δ\n     </mtext>\n     <mi>\n      t\n     </mi>\n    </mrow>\n   </mfrac>\n  </math>\n  and Newton’s third law, this leads to a force exerted on the wall by the molecule ✓\n </p>\n <p>\n  The average force exerted by all the molecules on a unit area of the wall is equivalent to pressure ✓\n </p>\n <p>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     500\n    </mn>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  100 «kPa» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the average translational speed of air molecules.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The air is a mixture of nitrogen, oxygen and other gases. Explain why the component gases of air in the container have different average translational speeds.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The temperature of the sample is increased without a change in pressure. Outline the effect it has on the density of the gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    520\n   </mn>\n  </math>\n  «m s\n  <sup>\n   −1\n  </sup>\n  »  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    8\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    520\n   </mn>\n  </math>\n  «m s\n  <sup>\n   −1\n  </sup>\n  »  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Average kinetic energy of the molecules is determined by the temperature only ✓\n </p>\n <p>\n  The mass of a molecule is different for each component gas ✓\n </p>\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mtext>\n     k\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     2\n    </mn>\n   </mfrac>\n   <mi>\n    m\n   </mi>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  , the same\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     E\n    </mi>\n    <mtext>\n     k\n    </mtext>\n   </msub>\n  </math>\n  and different mass implies a different average velocity  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  <strong>\n   <em>\n    ALTERNATIVE 1\n   </em>\n  </strong>\n </p>\n <p>\n  The average translational speed increases «because\n  <em>\n   T\n  </em>\n  increases» ✓\n </p>\n <p>\n  From\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    P\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mi>\n    ρ\n   </mi>\n   <msup>\n    <mi>\n     v\n    </mi>\n    <mn>\n     2\n    </mn>\n   </msup>\n  </math>\n  , the density decreases «to keep\n  <em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     P\n    </mi>\n   </math>\n  </em>\n  constant»  ✓\n </p>\n <p>\n  <br/>\n  <strong>\n   <em>\n    ALTERNATIVE 2\n   </em>\n  </strong>\n </p>\n <p>\n  From the ideal gas law, the volume of the gas increases ✓\n </p>\n <p>\n  Since\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    ρ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mi>\n     m\n    </mi>\n    <mi>\n     v\n    </mi>\n   </mfrac>\n  </math>\n  and\n  <em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     m\n    </mi>\n   </math>\n  </em>\n  is constant, the density decreases  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "EXE.2.SL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how the concept of absolute zero of temperature is interpreted in terms of:\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the ideal gas law,\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   the kinetic energy of particles in an ideal gas.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A container holds a mixture of argon and helium atoms at a temperature of 37 °C.\n  </p>\n  <p>\n   Calculate the average translational speed of the argon atoms.\n  </p>\n  <p>\n   The molar mass of argon is 4.0 × 10\n   <sup>\n    −2\n   </sup>\n   kg mol\n   <sup>\n    −1\n   </sup>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [4]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Discuss how the mean kinetic energy of the argon atoms in the mixture compares with that of the helium atoms.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  it is the temperature at which the volume\n </p>\n <p>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n </p>\n <p>\n  the pressure extrapolates to zero (can be shown by sketch)  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  it is the temperature at which the volume\n </p>\n <p>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n </p>\n <p>\n  the pressure extrapolates to zero (can be shown by sketch)  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  it is the temperature at which all the (random) motion stops\n </p>\n <p>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n </p>\n <p>\n  at which all the motion can be extrapolated to stop\n </p>\n <p>\n  <strong>\n   <em>\n    OR\n   </em>\n  </strong>\n </p>\n <p>\n  at which the kinetic energy of all particles is zero ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  Use of\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      4\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        2\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <msub>\n     <mi>\n      N\n     </mi>\n     <mtext>\n      A\n     </mtext>\n    </msub>\n   </mfrac>\n   <mfenced>\n    <mrow>\n     <mo>\n      =\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        26\n       </mn>\n      </mrow>\n     </msup>\n     <mo>\n     </mo>\n     <mtext>\n      kg\n     </mtext>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  Work showing that\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    v\n   </mi>\n   <mfenced>\n    <mrow>\n     <mo>\n      =\n     </mo>\n     <msqrt>\n      <mfrac>\n       <mrow>\n        <mn>\n         3\n        </mn>\n        <mi>\n         p\n        </mi>\n       </mrow>\n       <mi>\n        ρ\n       </mi>\n      </mfrac>\n      <mo>\n       =\n      </mo>\n      <msqrt>\n       <mfrac>\n        <mrow>\n         <mn>\n          3\n         </mn>\n         <mi>\n          p\n         </mi>\n         <mi>\n          V\n         </mi>\n        </mrow>\n        <mi>\n         m\n        </mi>\n       </mfrac>\n      </msqrt>\n     </msqrt>\n    </mrow>\n   </mfenced>\n   <mo>\n    =\n   </mo>\n   <msqrt>\n    <mfrac>\n     <mrow>\n      <mn>\n       3\n      </mn>\n      <mi>\n       k\n      </mi>\n      <mi>\n       T\n      </mi>\n     </mrow>\n     <mi>\n      m\n     </mi>\n    </mfrac>\n   </msqrt>\n  </math>\n  ✓\n </p>\n <p>\n  Correct substitution AND conversion to K (310 K)  ✓\n </p>\n <p>\n  430/440 «m s\n  <sup>\n   −1\n  </sup>\n  » ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  the gases are in the same container at the same temperature so are\n  <span style=\"text-decoration:underline;\">\n   in equilibrium\n  </span>\n  ✓\n </p>\n <p>\n  they must have the same mean/average kinetic energy ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-3-gas-laws"
+    ]
+  },
+  {
+    "question_id": "SPM.1B.HL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The students vary\n   <em>\n    V\n   </em>\n   and measure the time\n   <em>\n    T\n   </em>\n   for the ball to move\n   <strong>\n    once\n   </strong>\n   from one plate to the other. The table shows some of the data.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    V\n   </em>\n   is provided by two identical power supplies connected in series. The potential difference of each of the power supplies is known with an uncertainty of 0.01 kV.\n  </p>\n  <p>\n   State the uncertainty in the potential difference\n   <em>\n    V\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    T\n   </em>\n   is measured with an electronic stopwatch that measures to the nearest 0.1 s.\n  </p>\n  <p>\n   Describe how an uncertainty in\n   <em>\n    T\n   </em>\n   of less than 0.1 s can be achieved using this stopwatch.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why it is unlikely that the relationship between\n   <em>\n    T\n   </em>\n   and\n   <em>\n    V\n   </em>\n   is linear.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the largest fractional uncertainty in\n   <em>\n    T\n   </em>\n   for these data.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine\n   <em>\n    A\n   </em>\n   by drawing the line of best fit.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the units of\n   <em>\n    A\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The theoretical relationship assumes that the ball is only affected by the electric force.\n  </p>\n  <p>\n   Suggest why, in order to test the relationship, the length of the string should be much greater than the distance between the plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.02 «kV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  0.02 «kV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  by measuring the time for many bounces ✓\n </p>\n <p>\n  and dividing the result by the number of bounces ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  it is not possible to draw a straight line through all the error bars ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   T\n  </em>\n  = 0.5 s ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.2 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  a best-fit line drawn through the entire range of the data ✓\n </p>\n <p>\n  large triangle greater than half a line or two data points on the line greater than half a line apart ✓\n </p>\n <p>\n  correct read offs consistent with the line,\n  <em>\n   eg\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      40\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   Accept answer in the range 3.8–4.2\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  kV s ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  the angle between the string and the vertical should be very small «for any position of the ball» ✓\n </p>\n <p>\n </p>\n <p>\n  so that the tension in the string is «almost» balanced by the ball’s weight\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  restoring force from the string / horizontal component of tension negligibly small «compared with electric force» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-1-2-designing",
+      "inquiry-1-exploring-and-designing",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "SPM.1B.HL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The group obtains the following repeated readings for\n   <em>\n    d\n   </em>\n   for\n   <strong>\n    one\n   </strong>\n   value of\n   <em>\n    W\n   </em>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   The group divides into two subgroups, A and B, to analyse the data.\n  </p>\n  <p>\n   Group A quotes the mean value of\n   <em>\n    d\n   </em>\n   as 2.93 cm.\n  </p>\n  <p>\n   Group B quotes the mean value of\n   <em>\n    d\n   </em>\n   as 2.8 cm.\n  </p>\n  <p>\n   Discuss the values that the groups have quoted.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The variation of\n   <em>\n    d\n   </em>\n   with\n   <em>\n    W\n   </em>\n   is shown.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Outline\n   <strong>\n    one\n   </strong>\n   experimental reason why the graph does not go through the origin.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Theory predicts that\n  </p>\n  <p style=\"text-align:center;\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     d\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mfrac>\n     <mrow>\n      <msup>\n       <mi>\n        W\n       </mi>\n       <mi>\n        x\n       </mi>\n      </msup>\n      <msup>\n       <mi>\n        L\n       </mi>\n       <mi>\n        y\n       </mi>\n      </msup>\n     </mrow>\n     <mrow>\n      <mi>\n       E\n      </mi>\n      <mi>\n       I\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n  </p>\n  <p>\n   where\n   <em>\n    <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n     <mi>\n      E\n     </mi>\n    </math>\n   </em>\n   and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     I\n    </mi>\n   </math>\n   are constants. The fundamental units of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     I\n    </mi>\n   </math>\n   are m\n   <sup>\n    4\n   </sup>\n   and those of\n   <em>\n    E\n   </em>\n   are kg m\n   <sup>\n    −1\n   </sup>\n   s\n   <sup>\n    −2\n   </sup>\n   .\n  </p>\n  <p>\n   Calculate\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     y\n    </mi>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest an appropriate measuring instrument for determining\n   <em>\n    b\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the percentage uncertainty in the value of\n   <em>\n    A\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  3 sf is inappropriate for\n  <em>\n   A\n  </em>\n  ✓\n </p>\n <p>\n  rejects trial 3 as outlier for\n  <em>\n   B\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  3 sf is inappropriate for\n  <em>\n   A\n  </em>\n  ✓\n </p>\n <p>\n  rejects trial 3 as outlier for\n  <em>\n   B\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  beam bends under its own weight / weight of pan\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  specified systematic error in\n  <em>\n   d\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  units of\n  <em>\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     W\n    </mi>\n   </math>\n  </em>\n  : kg m s\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n <p>\n  work leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n  </math>\n  and\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    y\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  instrument (capable of reading to 0.05 mm) with reason related to resolution of instrument ✓\n </p>\n <p>\n  <em>\n   eg micrometer screw gauge, Vernier caliper, travelling microscope\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  attempt to calculate fractional uncertainty in either\n  <em>\n   a\n  </em>\n  or\n  <em>\n   b\n  </em>\n  [0.0357, 0.0167] ✓\n </p>\n <p>\n  0.0357 + 0.0167 = 0.05 = 5% ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-2-3-interpreting-results",
+      "inquiry-2-collecting-and-processing-data",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "SPM.1B.SL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The students vary\n   <em>\n    V\n   </em>\n   and measure the time\n   <em>\n    T\n   </em>\n   for the ball to move\n   <strong>\n    once\n   </strong>\n   from one plate to the other. The table shows some of the data.\n  </p>\n  <p style=\"text-align:center;\">\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    V\n   </em>\n   is provided by two identical power supplies connected in series. The potential difference of each of the power supplies is known with an uncertainty of 0.01 kV.\n  </p>\n  <p>\n   State the uncertainty in the potential difference\n   <em>\n    V\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   <em>\n    T\n   </em>\n   is measured with an electronic stopwatch that measures to the nearest 0.1 s.\n  </p>\n  <p>\n   Describe how an uncertainty in\n   <em>\n    T\n   </em>\n   of less than 0.1 s can be achieved using this stopwatch.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why it is unlikely that the relationship between\n   <em>\n    T\n   </em>\n   and\n   <em>\n    V\n   </em>\n   is linear.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iv)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the largest fractional uncertainty in\n   <em>\n    T\n   </em>\n   for these data.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine\n   <em>\n    A\n   </em>\n   by drawing the line of best fit.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the units of\n   <em>\n    A\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The theoretical relationship assumes that the ball is only affected by the electric force.\n  </p>\n  <p>\n   Suggest why, in order to test the relationship, the length of the string should be much greater than the distance between the plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  0.02 «kV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  0.02 «kV» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  by measuring the time for many bounces ✓\n </p>\n <p>\n  and dividing the result by the number of bounces ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  it is not possible to draw a straight line through all the error bars ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iv)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   T\n  </em>\n  = 0.5 s ✓\n </p>\n <p>\n  «\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      1\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n  </math>\n  » 0.2 ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  a best-fit line drawn through the entire range of the data ✓\n </p>\n <p>\n  large triangle greater than half a line or two data points on the line greater than half a line apart ✓\n </p>\n <p>\n  correct read offs consistent with the line,\n  <em>\n   eg\n  </em>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      6\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      40\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    4\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    0\n   </mn>\n  </math>\n  ✓\n </p>\n <p>\n  <em>\n   Accept answer in the range 3.8–4.2\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  kV s ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  the angle between the string and the vertical should be very small «for any position of the ball» ✓\n </p>\n <p>\n  so that the tension in the string is «almost» balanced by the ball’s weight\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  restoring force from the string / horizontal component of tension negligibly small «compared with electric force» ✓\n </p>\n <p>\n  <em>\n   OWTTE\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-1-1-exploring",
+      "i-1-2-designing",
+      "i-1-3-controlling-variables",
+      "inquiry-1-exploring-and-designing",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "SPM.1B.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The group obtains the following repeated readings for\n   <em>\n    d\n   </em>\n   for\n   <strong>\n    one\n   </strong>\n   value of\n   <em>\n    W\n   </em>\n   .\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   The group divides into two subgroups, A and B, to analyse the data.\n  </p>\n  <p>\n   Group A quotes the mean value of\n   <em>\n    d\n   </em>\n   as 2.93 cm.\n  </p>\n  <p>\n   Group B quotes the mean value of\n   <em>\n    d\n   </em>\n   as 2.8 cm.\n  </p>\n  <p>\n   Discuss the values that the groups have quoted.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The variation of\n   <em>\n    d\n   </em>\n   with\n   <em>\n    W\n   </em>\n   is shown.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\" style=\"display:block;margin-left:auto;margin-right:auto;\"/>\n  </p>\n  <p>\n   Outline\n   <strong>\n    one\n   </strong>\n   experimental reason why the graph does not go through the origin.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Theory predicts that\n  </p>\n  <p style=\"text-align:center;\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     d\n    </mi>\n    <mo>\n     ∝\n    </mo>\n    <mfrac>\n     <mrow>\n      <msup>\n       <mi>\n        W\n       </mi>\n       <mi>\n        x\n       </mi>\n      </msup>\n      <msup>\n       <mi>\n        L\n       </mi>\n       <mi>\n        y\n       </mi>\n      </msup>\n     </mrow>\n     <mrow>\n      <mi>\n       E\n      </mi>\n      <mi>\n       I\n      </mi>\n     </mrow>\n    </mfrac>\n   </math>\n  </p>\n  <p style=\"text-align:left;\">\n   where\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     E\n    </mi>\n   </math>\n   and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     I\n    </mi>\n   </math>\n   are constants. The fundamental units of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     I\n    </mi>\n   </math>\n   are m\n   <sup>\n    4\n   </sup>\n   and those of\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     E\n    </mi>\n   </math>\n   are kg m\n   <sup>\n    −1\n   </sup>\n   s\n   <sup>\n    −2\n   </sup>\n   .\n  </p>\n  <p style=\"text-align:left;\">\n   Calculate\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     x\n    </mi>\n   </math>\n   and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     y\n    </mi>\n   </math>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Suggest an appropriate measuring instrument for determining\n   <em>\n    b\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the percentage uncertainty in the value of\n   <em>\n    A\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  3 sf is inappropriate for\n  <em>\n   A\n  </em>\n  ✓\n </p>\n <p>\n  rejects trial 3 as outlier for\n  <em>\n   B\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  3 sf is inappropriate for\n  <em>\n   A\n  </em>\n  ✓\n </p>\n <p>\n  rejects trial 3 as outlier for\n  <em>\n   B\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  beam bends under its own weight / weight of pan\n </p>\n <p>\n  <em>\n   <strong>\n    OR\n   </strong>\n  </em>\n </p>\n <p>\n  specified systematic error in\n  <em>\n   d\n  </em>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  units of\n  <em>\n   W\n  </em>\n  : kg m s\n  <sup>\n   −2\n  </sup>\n  ✓\n </p>\n <p>\n  work leading to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    x\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n  </math>\n  and\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    y\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  instrument (capable of reading to 0.05 mm) with reason related to resolution of instrument ✓\n </p>\n <p>\n  <em>\n   eg micrometer screw gauge, Vernier caliper, travelling microscope\n  </em>\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  attempt to calculate fractional uncertainty in either\n  <em>\n   a\n  </em>\n  or\n  <em>\n   b\n  </em>\n  [0.0357, 0.0167] ✓\n </p>\n <p>\n  0.0357 + 0.0167 = 0.05 = 5 % ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "inquiry",
+      "tools"
+    ],
+    "subtopics": [
+      "i-2-3-interpreting-results",
+      "inquiry-2-collecting-and-processing-data",
+      "tool-1-experimental-techniques",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the nature and direction of the force that accelerates the 15 kg object.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (b)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Determine the largest magnitude of\n   <em>\n    F\n   </em>\n   for which the block and the object do not move relative to each other.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  static friction force «between blocks»\n </p>\n <p>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n </p>\n <p>\n  directed to the right ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  static friction force «between blocks»\n </p>\n <p>\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n </p>\n <p>\n  directed to the right ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (b)\n </div><div class=\"card-body\">\n <p>\n  <em>\n   F\n  </em>\n  = 60\n  <em>\n   a ✓\n  </em>\n </p>\n <p>\n  <em>\n   F\n  </em>\n  <sub>\n   f\n  </sub>\n  = 0.6 × 15 × 9.8 «= 88.2 N» ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mn>\n    88\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    2\n   </mn>\n   <mo>\n    =\n   </mo>\n   <mn>\n    15\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <mfrac>\n    <mi>\n     F\n    </mi>\n    <mn>\n     60\n    </mn>\n   </mfrac>\n   <mo>\n    ⇒\n   </mo>\n   <mi>\n    F\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    350\n   </mn>\n  </math>\n  «N» ✓\n </p>\n <p>\n </p>\n <p>\n  <em>\n   Allow use of a =\n  </em>\n  0.6\n  <em>\n   g leading to 353 N.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     γ\n    </mi>\n   </math>\n   for a speed of 0.80\n   <em>\n    c\n   </em>\n   .\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    γ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       80\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    67\n   </mn>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    γ\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     1\n    </mn>\n    <mrow>\n     <mn>\n      1\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <msup>\n      <mn>\n       80\n      </mn>\n      <mn>\n       2\n      </mn>\n     </msup>\n    </mrow>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mn>\n     5\n    </mn>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    67\n   </mn>\n  </math>\n  ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-5-galilean-and-special-relativity"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how this standing wave pattern of melted spots is formed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  standing waves form «in the oven» by superposition / constructive interference ✓\n </p>\n <p>\n  energy transfer is greatest at the antinodes «of the standing wave pattern» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  standing waves form «in the oven» by superposition / constructive interference ✓\n </p>\n <p>\n  energy transfer is greatest at the antinodes «of the standing wave pattern» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw an arrow on the diagram to represent the direction of the acceleration of the satellite.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrow normal to the orbit towards the Earth ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrow normal to the orbit towards the Earth ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why the magnetic flux in ring B increases.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline why work must be done on ring B as it moves towards ring A at a constant speed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  ring B cuts an increasing number of magnetic field lines ✓\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  magnetic field from current in A increases at the position of B ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  ring B cuts an increasing number of magnetic field lines ✓\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  magnetic field from current in A increases at the position of B ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  the current induced in B gives rise to a magnetic field opposing that of A\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  there will be a magnetic force opposing the motion ✓\n </p>\n <p>\n  work must be done to move B in the opposite direction to this force ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-3-work-energy-and-power",
+      "d-4-induction"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A nucleus of americium-241 has 146 neutrons. This nuclide decays to neptunium through alpha emission.\n  </p>\n  <p>\n   Complete the nuclear equation for this decay.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (d)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the maximum current in the chamber due to the electrons when there is no smoke in the chamber.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mtext>\n     Am\n    </mtext>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     95\n    </mn>\n    <mn>\n     241\n    </mn>\n   </mmultiscripts>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mtext>\n     Np\n    </mtext>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     93\n    </mn>\n    <mn>\n     237\n    </mn>\n   </mmultiscripts>\n   <mo>\n    +\n   </mo>\n   <mmultiscripts>\n    <mi>\n     α\n    </mi>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     2\n    </mn>\n    <mn>\n     4\n    </mn>\n   </mmultiscripts>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (d)\n </div><div class=\"card-body\">\n <p>\n  Each alpha gives rise to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n    </mrow>\n    <mn>\n     15\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    67\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n  </math>\n  ion pairs ✓\n </p>\n <p>\n  So\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      67\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      42000\n     </mn>\n    </mrow>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    13\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     9\n    </mn>\n   </msup>\n  </math>\n  ion pairs per second ✓\n </p>\n <p>\n  current\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      19\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    13\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     9\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    82\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      9\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «A» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the surface temperature of\n   <em>\n    δ\n   </em>\n   Vel A is about 9000 K.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  correct substitution into\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     λ\n    </mi>\n    <mtext>\n     max\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  OR 9350 K ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  correct substitution into\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     λ\n    </mi>\n    <mtext>\n     max\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  OR 9350 K ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.8",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the theoretical equilibrium temperature of the mixture.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   The mixture was held in a large metal container during the mixing.\n  </p>\n  <p>\n   Explain\n   <strong>\n    one\n   </strong>\n   change to the procedure that will reduce the difference in (b)(i).\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      7\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mi>\n      T\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      47\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      150\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mn>\n      240\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  One heat capacity term correctly substituted ✓\n </p>\n <p>\n  latent heat correctly substituted\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    190\n   </mn>\n  </math>\n  «°C» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      7\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mi>\n      T\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      47\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      150\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mn>\n      240\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  One heat capacity term correctly substituted ✓\n </p>\n <p>\n  latent heat correctly substituted\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    190\n   </mn>\n  </math>\n  «°C» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Insulate the container\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Carry out experiment quicker\n </p>\n <p>\n  <strong>\n   OR\n  </strong>\n </p>\n <p>\n  Use larger volumes of substances ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "inquiry"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers",
+      "i-1-3-controlling-variables",
+      "inquiry-1-exploring-and-designing"
+    ]
+  },
+  {
+    "question_id": "SPM.2.HL.TZ0.9",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the electric field lines due to the charged plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the electric field lines due to the charged plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (ii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the forces acting on the oil drop, ignoring the buoyancy force.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (iii)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the electric charge on the oil drop is given by\n  </p>\n  <p style=\"text-align:center;\">\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     q\n    </mi>\n    <mo>\n     =\n    </mo>\n    <mfrac>\n     <mrow>\n      <msub>\n       <mi>\n        ρ\n       </mi>\n       <mi>\n        o\n       </mi>\n      </msub>\n      <mi>\n       g\n      </mi>\n      <mi>\n       V\n      </mi>\n     </mrow>\n     <mi>\n      E\n     </mi>\n    </mfrac>\n   </math>\n  </p>\n  <p>\n   where\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <msub>\n     <mi>\n      ρ\n     </mi>\n     <mi>\n      o\n     </mi>\n    </msub>\n   </math>\n   is the density of oil and\n   <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mi>\n     V\n    </mi>\n   </math>\n   is the volume of the oil drop.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  equally spaced arrows «by eye» all pointing down ✓\n </p>\n <p>\n  edge effects also shown with arrows ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  equally spaced arrows «by eye» all pointing down ✓\n </p>\n <p>\n  edge effects also shown with arrows ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (ii)\n </div><div class=\"card-body\">\n <p>\n  Weight vertically down\n  <em>\n   <strong>\n    AND\n   </strong>\n  </em>\n  electric force vertically up ✓\n </p>\n <p>\n  Of equal length «by eye» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (iii)\n </div><div class=\"card-body\">\n <p>\n  Mass of drop is\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     ρ\n    </mi>\n    <mi>\n     o\n    </mi>\n   </msub>\n   <mi>\n    V\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    q\n   </mi>\n   <mi>\n    E\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <msub>\n      <mi>\n       ρ\n      </mi>\n      <mi>\n       o\n      </mi>\n     </msub>\n     <mi>\n      V\n     </mi>\n    </mrow>\n   </mfenced>\n   <mi>\n    g\n   </mi>\n  </math>\n  ✓\n </p>\n <p>\n  «hence answer»\n </p>\n <p>\n  <br/>\n  <em>\n   MP1 must be shown implicitly for credit.\n  </em>\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields",
+      "tools"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "d-2-electric-and-magnetic-fields",
+      "tool-3-mathematics"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.1",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   State the nature and direction of the force that accelerates the 15 kg object.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  static friction force «between blocks»\n </p>\n <p>\n  <strong>\n   AND\n  </strong>\n </p>\n <p>\n  directed to the right ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  static friction force «between blocks»\n </p>\n <p>\n  <strong>\n   AND\n  </strong>\n </p>\n <p>\n  directed to the right ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.2",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Outline how this standing wave pattern of melted spots is formed.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  standing waves form «in the oven» by superposition / constructive interference ✓\n </p>\n <p>\n  energy transfer is greatest at the antinodes «of the standing wave pattern» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  standing waves form «in the oven» by superposition / constructive interference ✓\n </p>\n <p>\n  energy transfer is greatest at the antinodes «of the standing wave pattern» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "c-wave-behaviour"
+    ],
+    "subtopics": [
+      "c-4-standing-waves-and-resonance"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.3",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw an arrow on the diagram to represent the direction of the acceleration of the satellite.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrow normal to the orbit towards the Earth ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  arrow normal to the orbit towards the Earth ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "a--space-time-and-motion",
+      "d-fields"
+    ],
+    "subtopics": [
+      "a-2-forces-and-momentum",
+      "d-1-gravitational-fields"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.4",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   A nucleus of americium-241 has 146 neutrons. This nuclide decays to neptunium through alpha emission.\n  </p>\n  <p>\n   Complete the nuclear equation for this decay.\n  </p>\n  <p>\n   <img src=\"data:image/png;base64,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\"/>\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (c)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the maximum current in the chamber due to the electrons when there is no smoke in the chamber.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mi>\n     Am\n    </mi>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     95\n    </mn>\n    <mn>\n     241\n    </mn>\n   </mmultiscripts>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mmultiscripts>\n    <mi>\n     Np\n    </mi>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     93\n    </mn>\n    <mn>\n     237\n    </mn>\n   </mmultiscripts>\n   <mo>\n    +\n   </mo>\n   <mmultiscripts>\n    <mi>\n     α\n    </mi>\n    <mprescripts>\n    </mprescripts>\n    <mn>\n     2\n    </mn>\n    <mn>\n     4\n    </mn>\n   </mmultiscripts>\n  </math>\n  ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (c)\n </div><div class=\"card-body\">\n <p>\n  Each alpha gives rise to\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      5\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      5\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       6\n      </mn>\n     </msup>\n    </mrow>\n    <mn>\n     15\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    3\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    67\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     5\n    </mn>\n   </msup>\n  </math>\n  ion pairs ✓\n </p>\n <p>\n  So\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfrac>\n    <mrow>\n     <mn>\n      3\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      67\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       5\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      42000\n     </mn>\n    </mrow>\n    <mn>\n     3\n    </mn>\n   </mfrac>\n   <mo>\n    =\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    13\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     9\n    </mn>\n   </msup>\n  </math>\n  ion pairs per second ✓\n </p>\n <p>\n  current\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mn>\n    1\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    6\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      19\n     </mn>\n    </mrow>\n   </msup>\n   <mo>\n    ×\n   </mo>\n   <mn>\n    5\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    13\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mn>\n     9\n    </mn>\n   </msup>\n   <mo>\n    =\n   </mo>\n   <mn>\n    0\n   </mn>\n   <mo>\n    .\n   </mo>\n   <mn>\n    82\n   </mn>\n   <mo>\n    ×\n   </mo>\n   <msup>\n    <mn>\n     10\n    </mn>\n    <mrow>\n     <mo>\n      -\n     </mo>\n     <mn>\n      9\n     </mn>\n    </mrow>\n   </msup>\n  </math>\n  «A» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter",
+      "e-nuclear-and-quantum-physics"
+    ],
+    "subtopics": [
+      "b-5-current-and-circuits",
+      "e-3-radioactive-decay"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.5",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Show that the surface temperature of\n   <em>\n    δ\n   </em>\n   Vel A is about 9000 K.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [1]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  correct substitution into\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     λ\n    </mi>\n    <mtext>\n     max\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  OR 9350 K ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  correct substitution into\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <msub>\n    <mi>\n     λ\n    </mi>\n    <mtext>\n     max\n    </mtext>\n   </msub>\n   <mo>\n    =\n   </mo>\n   <mfrac>\n    <mrow>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      9\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mrow>\n       <mo>\n        -\n       </mo>\n       <mn>\n        3\n       </mn>\n      </mrow>\n     </msup>\n    </mrow>\n    <mi>\n     T\n    </mi>\n   </mfrac>\n  </math>\n  OR 9350 K ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.6",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Calculate the theoretical equilibrium temperature of the mixture.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [3]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      7\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mi>\n      T\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      47\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      150\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mn>\n      240\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  One heat capacity term correctly substituted ✓\n </p>\n <p>\n  latent heat correctly substituted\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    190\n   </mn>\n  </math>\n  «°C» ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (a)\n </div><div class=\"card-body\">\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      7\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      5\n     </mn>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mo>\n    +\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mi>\n      T\n     </mi>\n     <mo>\n      -\n     </mo>\n     <mn>\n      47\n     </mn>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mo>\n    =\n   </mo>\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      150\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      2\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      13\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n   <mfenced>\n    <mrow>\n     <mn>\n      240\n     </mn>\n     <mo>\n      -\n     </mo>\n     <mi>\n      T\n     </mi>\n    </mrow>\n   </mfenced>\n  </math>\n </p>\n <p>\n  One heat capacity term correctly substituted ✓\n </p>\n <p>\n  latent heat correctly substituted\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mfenced>\n    <mrow>\n     <mn>\n      0\n     </mn>\n     <mo>\n      .\n     </mo>\n     <mn>\n      030\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <mn>\n      220\n     </mn>\n     <mo>\n      ×\n     </mo>\n     <msup>\n      <mn>\n       10\n      </mn>\n      <mn>\n       3\n      </mn>\n     </msup>\n    </mrow>\n   </mfenced>\n  </math>\n  ✓\n </p>\n <p>\n  <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n   <mi>\n    T\n   </mi>\n   <mo>\n    =\n   </mo>\n   <mn>\n    190\n   </mn>\n  </math>\n  «°C» ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "b-the-particulate-nature-of-matter"
+    ],
+    "subtopics": [
+      "b-1-thermal-energy-transfers"
+    ]
+  },
+  {
+    "question_id": "SPM.2.SL.TZ0.7",
+    "Question": "<div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (a.i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the electric field lines due to the charged plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n <div class=\"t_qn_question_content\">\n <div class=\"qn_code_number\">\n  (i)\n </div>\n <div class=\"qc_body js-toggle-question\">\n  <p>\n   Draw the electric field lines due to the charged plates.\n  </p>\n </div>\n <div class=\"qc_marks_available\">\n  <p>\n   [2]\n  </p>\n </div>\n</div>\n",
+    "Markscheme": "<br><div class=\"qn_code_number\">\n  (a.i)\n </div><div class=\"card-body\">\n <p>\n  equally spaced arrows «by eye» all pointing down ✓\n </p>\n <p>\n  edge effects also shown with arrows ✓\n </p>\n</div>\n<br><div class=\"qn_code_number\">\n  (i)\n </div><div class=\"card-body\">\n <p>\n  equally spaced arrows «by eye» all pointing down ✓\n </p>\n <p>\n  edge effects also shown with arrows ✓\n </p>\n</div>\n",
+    "Examiners report": "None",
+    "topics": [
+      "d-fields"
+    ],
+    "subtopics": [
+      "d-2-electric-and-magnetic-fields"
+    ]
+  }
+]
\ No newline at end of file
diff --git a/assets/style.css b/assets/style.css
index feb26e3..b4d11bd 100644
--- a/assets/style.css
+++ b/assets/style.css
@@ -46,9 +46,8 @@ body {
 }
 
 hr {
-  height: 0;
-  color: #000;
-  border-top-width: 1px
+  height: 2px;
+  background-color: #000;
 }
 
 abbr:where([title]) {
@@ -334,13 +333,66 @@ h4 {
   word-break: break-word;
 }
 
-#right-col {
+#right-wrapper {
   flex: 4;
+  display: flex;
+  flex-direction: column;
   width: 80%;
+  height: 100%;
+}
+
+#upper-right-col {
+  flex: 1;
+  /*overflow: hidden;*/
+  word-break: break-word;
+}
+
+#right-col {
+  flex: 9;
+  /*height: 90%;
+  width: 80%;*/
   overflow-y: auto;
   word-break: break-word;
 }
 
+.toolbar {
+  display: flex;
+  justify-content: flex-end;
+  flex-wrap: wrap;
+  gap: 0.5rem;
+}
+
+.selectables {
+  display: flex;
+  justify-content: left;
+  flex-wrap: wrap;
+  gap: 2rem;
+}
+
+@media (max-width: 480px) {
+  .selectables {
+    flex-direction: column;
+    align-items: stretch;
+    gap: 0;
+  }
+}
+
+select {
+  min-width: 60px;
+}
+
+#subtopic-select, #topic-select {
+  max-width: 100px;
+}
+
+#topic-list, .topic-label {
+  display: block;
+}
+
+#topic-list label {
+  padding-bottom: 0.5rem;
+}
+
 #appContainer{
   display: flex;
   height: 100%;