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<h2>HL Paper 3</h2><div class="specification">
<p>A polarimeter can be used to determine the optical rotation of an optically active substance.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe what happens to plane-polarized light when it passes through a solution of an optically active compound.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A mixture of enantiomers shows optical rotation.</p>
<p>Suggest a conclusion you can draw from this data.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>plane of polarization is rotated</p>
<p> </p>
<p><em>Award zero if answer refers to plane-polarized light being bent.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>not a racemic mixture<br><em><strong>OR</strong></em><br>two enantiomers not equimolar<br><em><strong>OR</strong></em><br>mixture contains optically active impurity<br><em><strong>OR</strong></em><br>relative proportions of enantiomers in mixture can be determined</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Technetium-99m is the most widely used medical radioisotope. It is usually made on-site in medical facilities from isotopes of molybdenum.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce equations for the following nuclear reactions:</p>
<p>(i) Molybdenum-98 absorbs a neutron.</p>
<p>(ii) The isotope produced in (a) (i) decays into technetium-99m.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Molybdenum-99 has a half-life of 66 hours, while technetium-99m has a half-life of 6 hours. Outline why technetium-99m is made on-site.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline <strong>two</strong> reasons, other than its half-life, why technetium-99m is so useful in medical diagnosis.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the nature of the radioactive waste that is generated by the use of technetium-99m in medical diagnosis.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{{\rm{42}}}^{98}{\rm{Mo}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mrow>
<mrow>
<mn>42</mn>
</mrow>
</mrow>
</mrow>
<mrow>
<mn>98</mn>
</mrow>
</msubsup>
<mrow>
<mrow>
<mi mathvariant="normal">M</mi>
<mi mathvariant="normal">o</mi>
</mrow>
</mrow>
</math></span> + <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{{\rm{0}}}^{1}{\rm{n}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mrow>
<mrow>
<mn>0</mn>
</mrow>
</mrow>
</mrow>
<mrow>
<mn>1</mn>
</mrow>
</msubsup>
<mrow>
<mrow>
<mi mathvariant="normal">n</mi>
</mrow>
</mrow>
</math></span> → <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{{\rm{42}}}^{99}{\rm{Mo}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mrow>
<mrow>
<mn>42</mn>
</mrow>
</mrow>
</mrow>
<mrow>
<mn>99</mn>
</mrow>
</msubsup>
<mrow>
<mrow>
<mi mathvariant="normal">M</mi>
<mi mathvariant="normal">o</mi>
</mrow>
</mrow>
</math></span></p>
<p><em>Accept <sup>98</sup>Mo + <sup>1</sup>n/n → <sup>99</sup>Mo.</em></p>
<p><br>ii</p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{42}^{99}{\text{Mo}} \to {}_{43}^{99\,{\text{m}}}{\text{Tc}} + {}_{ - 1}^0\beta ">
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>42</mn>
</mrow>
<mrow>
<mn>99</mn>
</mrow>
</msubsup>
<mrow>
<mtext>Mo</mtext>
</mrow>
<mo stretchy="false">→</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>43</mn>
</mrow>
<mrow>
<mn>99</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>m</mtext>
</mrow>
</mrow>
</msubsup>
<mrow>
<mtext>Tc</mtext>
</mrow>
<mo>+</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
<mi>β</mi>
</math></span></p>
<p><em>Accept “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{ - 1}^0e">
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
<mi>e</mi>
</math></span>” for “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{ - 1}^0\beta ">
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
<mi>β</mi>
</math></span>”.</em></p>
<p><em>Accept “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}^{99}Mo \to {}_{}^{99\,{\text{m}}}Tc + \beta ">
<msup>
<mrow>
</mrow>
<mrow>
<mn>99</mn>
</mrow>
</msup>
<mi>M</mi>
<mi>o</mi>
<mo stretchy="false">→</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
</mrow>
<mrow>
<mn>99</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>m</mtext>
</mrow>
</mrow>
</msubsup>
<mi>T</mi>
<mi>c</mi>
<mo>+</mo>
<mi>β</mi>
</math></span>”.</em></p>
<p><em>Accept “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{ - 1}^0e/{e^ - }/e">
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
<mi>e</mi>
<mrow>
<mo>/</mo>
</mrow>
<mrow>
<msup>
<mi>e</mi>
<mo>−</mo>
</msup>
</mrow>
<mrow>
<mo>/</mo>
</mrow>
<mi>e</mi>
</math></span>” for “<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\beta ">
<mi>β</mi>
</math></span>”.</em></p>
<p><em>Do not penalize “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{}^{99}Tc">
<msubsup>
<mrow>
</mrow>
<mrow>
</mrow>
<mrow>
<mn>99</mn>
</mrow>
</msubsup>
<mi>T</mi>
<mi>c</mi>
</math></span>” for “ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{}^{99\,{\text{m}}}Tc">
<msubsup>
<mrow>
</mrow>
<mrow>
</mrow>
<mrow>
<mn>99</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>m</mtext>
</mrow>
</mrow>
</msubsup>
<mi>T</mi>
<mi>c</mi>
</math></span>”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>molybdenum-99 can be easily transported «before it decays»/more stable<br><em><strong>OR<br></strong></em>«most of» technetium-99m will decay during transportation</p>
<p><em>Do <strong>not</strong> accept just “short half-life of Tc-99m”</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>emits gamma rays<br><em><strong>OR<br></strong></em>emissions escape from body<br><em><strong>OR<br></strong></em>emissions detected by gamma camera<br><em><strong>OR<br></strong></em>radiation dose is low</p>
<p>chemically reactive/versatile/transition metal bonds to a range of «biologically active» substances</p>
<p><em>Do <strong>not</strong> accept “short half-life of Tc-99m”.<br>Accept “energy of photons produced is «relatively» low” and “no high energy beta emission” for M1.<br>Accept “…has ability to form tracers” for “…bonds to a range of «biologically active» substances".</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>low-level «radioactive» waste/LLW<br><em><strong>OR<br></strong></em>small amounts of ionizing radiation for short time</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Excess stomach acid leads to medical conditions that affect many people worldwide. These conditions can be treated with several types of medical drugs.</p>
</div>
<div class="question">
<p>Omeprazole exists as a racemic mixture whereas esomeprazole is a single enantiomer. Outline how, starting from a non-chiral molecule, esomeprazole but not omeprazole, could be synthesized. Details of chemicals and conditions are not required.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><em>Any two of:</em></p>
<p>chiral molecule/auxiliary/optically active species is used/added/connected «to the starting molecule to force reaction to follow a certain path»</p>
<p>chiral intermediate forms «only» one enantiomer<br><em><strong>OR<br></strong></em>auxiliary creates stereochemical condition «necessary to follow a certain pathway» / stereochemical induction<br><em><strong>OR<br></strong></em>existing chiral centre affects configuration of new chiral centres</p>
<p>«after new chiral centre created» chiral auxiliary removed «to obtain desired product»</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>Ibuprofen and paracetamol are mild analgesics. One of the IR spectra below belongs to ibuprofen and the other to paracetamol. The structures of both compounds are given in section 37 of the data booklet.</p>
<p style="text-align: center;"><img 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2fPNn6lDu6zLMtRHttIefKXl5dnbnLI7R9++KGq7ocffrgqH+VJeymT8thPkc/tG264wdh/8MEHjf6wbeY8bFtRUZEhn/1gP5lXZFA+85NnuEQZklgHZUUqw/zSFpaJh+THvRwP/Yq3Nihn/6+IV4wZ4FOTiYA8HE2HdLOSgFc3nQINTcBrxsHKDe9vvphDJVFw+JLni18UICoTVErkpU7lg8d4nn/cpmxRWkRh4jGzssR9UVwoiwqQObFO5pF8PCdt4DGz4mGuk/VKO6jkUGEKli1KGsvNnDnT8uOB9VOhY5K2sBwTj0sd0kb+sj62i3KlTSwrieeC2yLnvP4VVub6va7Drjyv72W79SZbPuXs/xX3irEqXEHXSh6kQYd1Vy1cMbkHvPiPzZc7FScqAqLccJvKgOxLnuAXM/OI0iT/FyiLipskUVx4nsqEKCbcp1Ii5ShLFAAeYzm2Q86bZYps/koZs6JDWVTczInneYzKlcikfHP7WY7HzIoi2+gFZ3NbuC3tYPtrK7Fvwr222iD1+sFYZOvvQQLK+SALv7a8YhxfYSHiaNiVs4boY0F/i44dO8ZRy7QpSiA0Afo5DRw4sMqHqF27dpg9e7ZxL9NPiE7gzz33nOEsLlJGjx6Na665Br/++qtRjj5C9JvasGED6CcUHH6hW7duhrP7v//976r/G6wjLS3NyEv/o3vuuQdjx45F27ZtDSf3Ll264IwzzjD+6L9EJ+9QIQ5GjhyJU045BayHifUvW7ZMmlv1y/P8o08W+0CfKSlDDmzf8uXLDb8n8Yui83moeqsEu9zo3bs36E918sknu5QQfTGyInc63dPPjddfkxJQAvFBQBWuENeBLwRx2qUj6+233x4ipx5WArVLgA7Z55xzDrZu3WooW2wNZ/+1atWqRsP4AqZywpl+oiQ9/PDDxj4zm5WWcB8alG2Wz48TSbJ90UUXGcoN6zvrrLOqFJ333nuvalvKmH8pV2SYj4fappIxefLkaqelfVSCqGjSqd8vRctcMeur7UTuTLwvVOGq7auh9SuBgwRU4TrIotoWH9L8GubUdFG8VOmqhkh3oiBAqwytL7Q4Ubk3Ky92xVKJoDWIFitaM77++mujKGM4hZPHMlSARCHi75dffomFCxeiV69edqsPmY918/+PpGBlKNhiJvn8/I2FsuVn+53IZl/5kcjn1vDhw2OiaDppn+ZVAslKQBWuMFeeDy5Rsvjw0uHFMLCS7BSVHVqROGXfycucChatS1SSJDFswAMPPAAn1hGzsiVDeBy2i6RssU6x/kj9bL8Mz8kx/U1sAnxWMRUVFVUN+yZ2j7T1SiDxCWgcLhvXkF+JHGqhX4smJUClSYJO0lpE5cdOYgwnBqqkJYrDeVTY+CfxlhiniQE5QyXGeZII5Ix1RaWN/la0JtF3iEN14SxboeTq8bpHQIaDJWZX3euh9kgJJB4BtXDZuGa0ANAPhV+NfGmKY66NopqljhGgwkOHZFqT5s2bZ2yzi0888URYSxfvG94/HPqbNGlSNUf0Z5991vDBYgDPE088EXfffbcRTJOO4uK0LkE+WRdlUEljknvRiXXMKKj/1HkCfGYtWbKkykpf5zusHYyKgLg58J5p0qQJOnfubDyXnFjwo2pAEhRWC5fNi8wXG1+y9HPRlHwEaMViFG8qW3yRffTRR4aDOi0ItDSFs3SZlS0qZlY+THQS5/AP06233moMVbIurhlIyxeVMdZLSxbr4xA3FS9NSiAUAfrp8XnFF6kmJRCKAJ9t/KDjElFcTYEW/P/85z/G9v/8z/9UrQ4Rqrwet09AFS77rIwvRfrf6APMAbRazioPE1qm3CbKoEJFJYfOyHQCl68+KuKidFk9nIKVLSln1RbOKKNyxaVyWM9XX31lZGOIBamXliwqZlT+f/e731mJ0WNKwCDA0BpM33//vRJRApYEGD6Fzy1+0NEXlDOdGbaFVnc+Z0pKSvDXv/7VsqwedE5AhxQdMOvZs6eRm7PLdAjHAbhaykplhzNNGYOJiQ+QUNPk+eD57rvvsGXLFpSVlRkxpTh7T0ItUAYVKxnCM3dJlC7WxRhYXKOP9VCmDCNGGnIUeQ0aNMAVV1yBfv36GYfol/Xzzz9Xazdl08KmSQmEIyBrMDKemvh0hcuv5+o2AT6P6KbA2Hi8H+T5yF7z4y74HuFzhpN5aPUaOnSo5bOvbhPzvndq4XLAlA7JdJ5/7bXXHJTSrE4JMH4QQyVwCI8PCTeJZanscFFkPkxoEaLDulkmLZXcZ5BbvpyYn8N4/NrjL61aVKCYqKxZKVvSNp4TKxrr4aLM/DJkvVx0OJxlS2RY/XL40UpJpDy3Mq3q0WN1jwDvDz6v1qxZU/c6pz1yTIAz7vlc4yLnfFbxeUdfUG4HK1sinIYF3kOzZs2SQ/obBQFVuBzC4wuYPjQ6rOgQnIPsEyZMMEzZHMKjIpSSklL1R+WIPgbhEpUdGf57+eWXjYcJLUI0mYtMyqF/FPep3NE3ikpVIBAw/mSYkAobH0hWSk9wG6iQ0yJFZ/qlS5ca98mjjz6qMweDQel+zAjwvqU/jqbkJkBrFv35+GxiouJFH1Ba3iPNbNZ3nnf3jg4pOmR56qmnGiVWr14d1uLhUKxmryTAB4MM35100klGcFAO8UliVHQqVFSkrCw8tFjRz44+TxJDjWWZl+ETbrnlFkMmh4WZqExZPXBosaLy5TTRIsUHFP+olFs5yDuVqfmVgFsCdJzny5U+OZrinwA/Jr/55hujoS1atPDsHcMPTlqq+Fzi5Jvt27dHnFkttHgPMdEXUJ9nQsXdrypcDrmJ6ZXDVOGGmByKTYrsfJj89NNPYblRWeKDQdgG+8rR/4AmcVqOzNHMCZBxqsSyZVa2zHD5wKDMYLnmPF5t68PJK5Iqxy0Brm/JpMq/W4KxKcfrY15iS2qlFSpaZZmTfjjxhrH/mIJXfpC6Qv2qL2AoMs6PJ9CQ4k6szZ+J3B6ZFcNLmUMw9f21OGj7YOf3YO3MK6uGnw4ORWUiZ+YalDvnY1mCXwiyjIplBj1YgwD/03P2Hf0GaIWySmL2Jt9QiQovHxx8gFDBMicGpqWyFkrZMufVbSWQDATatGljdJMTLzTFJwH6qdK9gR+bHPLbvXu3YV2XEDC0wkeT6CrBJKMzTmXJSIJ5pMGpDM1fQSBBFK592DR/PLLvX48zn1lT4WezcSLO+PBu9J26zKR0lWFj0Sb0nrEaByp9cSp8ckqQN6w9vOosp1vTj0uTfQJck5JDhVSmaIVi3JfgRB8DOpmLdSv4vOxzFh8Vq5tuuqkqyrsdZU3K668SSDYCfIlrij8CfG5xmI+Jq05wWxQcWuFp4bJ6VjrpCWepMnEyj9vE57YMdbqVoeXgmQ7iL8udBXji9vnoMGgw+rdLr6grtSWyhw5Eg9FT8eraPRXHdq5E3py96Nimua8dky+FSM7b/kJJHOnkJEN9NGfTeZ0zAc0WKubhF97YsWMjdowPJMqhAsehRSaZiRhJWYsoXDMogTpEQCZ7yEu3DnUt4bvCYUSZSR3Kl5ShaaINXvvZZ58ZipsocgkPLoE74JXRx1cE5ZuLsaI0s4YilXpMG3TMKMArBcXGcGFFvrbIalXht+BXo4499lhDdHFxsV9V1Cm5tAbScnXNNdcY/WK8KrFQ8aHDJHn4gLGT+CKRoUU60fMrkMvgaFICSkAJJAIBGealK4TVxB32QYLXSl43/eKHrCwF5qa8lvGOQB1wmi/FqqISlKEdsHE9VmU0Qo/5NyNz3AsoBZAxeAqmj7wW/TtlOLJ6LVq0KCJljrfv2VNpXYuYu+5kCMeGgULz8/ONdbgYCZ2zOcVyxVALkqhwDRs2zPjy6tu3r5HnzjvvxPvvvy9ZIv4edthhhl/Y+vXrDXM5ZzWGa1tEgXGUoa70I46QWjYlWThzsfP69WvncZ8sjC1vsDAHGcWdiRaoUKsB7Nq1y8jDWdmcLBQuPf3000YwUz5bGUCZScrzuRzNdeAzlikaGYaAJP+ndv4HOoReYcmqWajCoiXH92Fz8XqUZv0eXYeMQ8lYzsgoR9naBbj/5j9iw9TnMapTE8lc45cO9ubEm5aJ5lyrNGDAAGPGndW5ZD3G/9QPPfQQ1q1bh88//xzjxo3DBx98gDPPPBNnn312NSxct4vDh5yZIw8eLpbqJElUdidlNK8SSDYCfFZxFQVN8UVg7969ERvUuHFjI8+OHTsi5mVwUj53mejnyiSWMYaY0BQHBAIJkfYGNs67LZCRfW/gg5K9RosPlBQEHhnWJ5D9h4xAxpgPAr+E7MdPgQ/GdAqg94xA0YGQmRhwyfIvVIlp06YFunTpEup0nTy+cOHCAP9CpRtuuMFgUlBQYPwK03nz5oUqErj00ksN7uSpKWDwDcdYGXlDINK97E0t8SFl9OjRAf7FOiUTYzds+VzkMzJSinT9yHnu3LmGLL6TzDKljt27d0eqJuz5SG0IW7gOnPTqXk4IHy6gAVoOnIil49Mxu9OhSEnJxPmPbcC59z2IQWmHoUNWJkJ7baWhVVZbYNV6bCwLHRhCIoyLDhy8L8fllxHI6bTNcAeaYJiy6YfFtbfouM71BOkcz2FXmYVjxYnO77Qmin+XVR49pgSUgBJIVgJNmjQxVq4I139ZAk1C4gRP6FKH+XD0YncuIYYUK3Cko90Fd2F2yV2oCN8GYGc+Xl3VBB1z/Z2VaHU5xJmRU3llJpBVvmQ5Rj8tKk4SUJRMggOTWrFgPq5Or0kJKAElUNcI8IOcM6k5JMjno5tZ1O3bt6/6uA+lOMmQo0SF1zAg8XknJYaFq3wNZuZ0Q25+9eB9hg8XeiOnc1PAyJOJzNx87KzGmrG5NiBjUC90Tveuu3TYZmLk9GRP/Lqir1u4gKXJzkj7rwRqiwBnVXNtT02xJUBla+TIkUaQZvJnCAiZle2kJVxdg4kf96ESg5syZpd8/PsVBoRxwzS5J+CdBuK+DZFLprZB96taYvL9TyK/dJ+Rv7x0GebMeA+tpt+MbCpSqe1w5cTRyJrzIl5fIypXOcrWvI3Z887C9JHdURnBK3J9NnLINN4tW7bYyF23s3BWItMZZ5xRtzuqvVMCCUhA3B8SsOkJ3eR3333XCHfD2dkSLf6tt96q6hMnCzFcTqTUvHlzI0u4MESUdeSRR9YQJTG4apxwcYCjGFQag4crXYhK2iKJoXChIdoNfRzLh+7G/Zn04UpBvWvmAVc+jmcHHlcZ7iEVaZ1uw0tv9sG2h7pVLu/TCn2fP4Ah70zEwJYV02S9vNL8zyIz7LyUm2iyOOWcX1ehzN2J1h9trxJQAkogGgK0bnEGNq3+HEbkBzqfkaJ4UTZDQdiJHSgf9+GW1uHsRBlODG63lSIWnEf3Y0MgQRQuAKkZ6DRkEj6UJXs+nIQhNWJrNUBGp4EYNXtVxfI/gRJ8OGkYekp0eo+Z8j9LqPgpHlcVt+L4YKGz/DnnnBO3bdSGKQEloARiSYDWLU6qopIlic9It1HjKYfWKqsksbZkoXLmCaecWcnQY7EhkDgKV2x4OKqFs0e2b9/uqExdyywLo4b6uqpr/dX+KAElULcI8KPR68SVL2jdEp8qypdnpMTGclIng0iHGsoThUsWKtd1D52QrZnXjZ9dTSnWR1ThsuZi6yhnj9C6k8xJosebHyzJzEP7rgSUQGIQoKJ144034rzzzvO0wVwjlpYsCZ4twlu3bm1sulkEmu+aUEG47QRQlTbob3gCnADGoNx+KV2qcIXnr2cjEFiyZInOTozASE8rASUQfwQYroEfzBz68zLJR2jwJKJgH1fOXJR1eSPVLzMVraxcmzdvNopbffQ6qSNSG5Lh/LJly4xuurFC2uGjCpcdSiHyhPtPEKJInTnMLwF+HfKrq1evXnWmX9oRJaAE6j4BWqHuueceW7MEndLgRyiDPgcrWJRj9sWioscZpHaS2zBETuqw0w7m0RhfdknVzKcKV00mto/IfwLbBepIRn5lMXr81/J1yBMAACAASURBVF9/jby8vKpgp3Wke9oNJaAETAT8Gl4xVRHTTQ4l3nTTTcaQn0Rm96oBZMWP0FDrwrqdMSjWK6swRPz45Xq1kvyOu+ZXjC9pf13+VYXLg6ubTMFPV69ejaysLOPLjFOcJbK8BxhVhBJQAnFGYPHixbjwwgvjrFXRNUdmEHJZMfPMvuikVpTm85Hp5JNP9kJcNRn0CbOaqfjrr79Ws5Rp3LVq2BztWPF1JCBCZlW4IgAKdzrcV0e4col6jg+TsWPHGmbxl19+2Ygtk6h90XYrASUQmQDDC3jt4xS5Vv9y0Lol8bHk+e1lbd9++60hTmJnhZLtZmYk22vlw6UhIEJRjr/jqnDF3zWJyxbRbE1l64ILLsATTzxh6Z8Qlw3XRikBJRA1ATcKQtSV+iCAQZqpQJrjY3lZDWcg2lniTJbpkTV57bSBYSWsZiq+//77xqhDsIy6cs2C++Xnvt9hnlTh8uDq1fUvDP7Hpc/WiSeeiCFDhqiy5cE9oyKUQCIREAUhkdps1db/+7//M3y3/LBusT4ufxNu5iFjN7pd17JFixZGl/jxaydJjEQnSp0duXU5j99hnlThivLusRtkbvr06Zbm4Cirj0lxTp/mV+Hdd9+Nxo0bx6ROrUQJKIHaJ7BmzZrab4RHLaCiQgvRH//4R48kVhcjFqVwMw8ZT8vtEO1RRx1lVGgOWSATGho2bFjVGFGw1Lm9CkncbKjCFYNLQcfTESNGGF8/MajO0ypk+vTs2bOrOWZ6WokKUwJKIC4J7NixIy7b5aZR+fn5RrFQMwjdyDSXESugKDzmc15si1XOrEiJ8iXWLy/qSVYZorz62X9VuPykC4BfPRMmTDBqobkyFhfVyy7de++9hgn+iiuu8FKsylICSkAJxJQA/bfou9W0aVNf6pXZ6nbCBTnJa24sZyqarY4aE8tMJ7ptUV6jkxK+tCpc4flEPBsp5olMQWa8Kia34/cRG+JDhk8++cQwwXPY1CqInw9VqkgloASUgOcE+KHLD96LLrrIc9kiUGJkRZqhyPxO8op8/tLK9Z///KfqkFi7mjdvXnXMrw2/Jhr41d54lKsKV5RXJVzME1q3ZAoy41XxhuWipomS6ADKL6pu3bolSpO1nUpACSiBGgS+//5741jwcJ+Xq4WUlJTUqNfrA2y/lWN3gwYNqqoS5UveNbJflcHlhtugrS6ri3kxsTqyYr8sh6pw+XhZZ8yYUW0KMofl6LQps0zo2zVmzJi4HGb028HUR+wqWgkoAY8I+D1N3qNmRhSzcuVKI4/4QUkBO8N/kjfSL5W6SCEhxNfKPCwYSa75/DHHHGPsyjuEcsxR5nlShkwlhITsm+U43R45ciT4V5eTWB3ZR7Ecet3f+l4LVHkVBGjCpqM819SS/+TirLlgwQLs3LnTWMuLufnVMnjw4LhARyXw6KOPhjygpM1x0ThthBJQAo4JmK048iyyK8TKmmK3bDzlY3yseBgSk5mGbicjtGnTxsBKfyMOXVJOuFmRXl0DGSYlQ0ZjZ5ggTc4JqIXLObNqJWRpiGBn+JdeesnId8stt1Tl55cGFTAqYlw4lTP/uM+QEfGQOCMxJyfHWGeMy/bwP5cXX0fx0DdtgxJIVgJeWHGKi4sTGh99Z0877TRf+xApBpe5cuZ1owC2bt3aECMWGPZLlDizfL+26/KwIq2FdKHxMyWQwrUTa/NnIrdHJlJSUpCSOQRT31+Lsmp09qG0cM7BPCmZ6JH7LBYWlqK8Wj7vdsxfHCKV5l4qVdOmTauhsFx88cWG2ZlB6WjVOu+884xhRyo7tZnobyYLujJODM3RfjqY1mZftW4loAScEYgU3JmWcU6yicfEZxufaX5YgrjUjvhKse9O6nCjvHDyUpcuXSD+YuyXfhR7c9fRWujUAuy05gRRuPZh0/zxyL5/Pc58Zg0CgQACGyfijA/vRt+py6qUrvJNb2FC37nA0AUoORBA4EAhJh1TgFv7TsPSnX6pXDWRf/fdd8bB/v371zjZsWNHcNFUubBnnHGGkaegoKBG3lgeeO2114yHEttGyxtTsINpLNujdSkBJZA4BBjBXXyGaqvVVKysPlz9jI/FIVeuvhHLlJ2dDfqLiR8Xo9cHJ/Elo3KmKX4IJIbCtbMAT9w+Hx0GDUb/dukV9FJbInvoQDQYPRWvrt0DYA/W5/0dMztcheGDuiKDPUvNQNc7xuGBDh8hb/m2mFEX5zsZ9w5XMb9YOKxo/koKl9+Pc/yPy4eG+JvRuf+rr76qUgr9qFNlKgElUHcIxIOyRafu008/vYalza8ZZ7x6HBpkEuVHnOL9vLL8EGa90q8jjjgiZHVUzvxOdKcJdqnxu04/5JOp30aGhFC4yjcXY0VpJjq2aQ5zg1OPaYOOGQV4paAY5SjDxqINyOjYBsdUy9QcbTruxZy8ldjpx1WykOl0LLi2hxW5GDW/hMTfjEogLXGalIASSF4CokQkAgG6aIiD/0cffVStyeLvJP5P1U5GsWPmI8pPJH8qL9ogMxU5jMvkVdgHNyioaF144YXGn5vy8VZGfLL9apdZNfGrDp/llmJVUQnKyn9G8YrQcVBKVxRjc4xGFZ2OBTPOFRWed955x2dWNcXTBE/NfuzYseoLUBOPHlECSUtAlIhEACCzqmmlX7ZsmWWTvQ7eLK4jrIyzIO0kcxvOOussO0Vq5BG/4SVLlhjnzDG4amT2+QCHNulHxj+zAupztQkrPiHCQlRYsmoyrrB8VR4vK0HRqlLAI8PMokWLalZocWTfvn3G0eeffx5nn322sU0F5s4774RdGSxEUzhnLtK3K5b/gSZOnIgTTzwR5eXlttvrpF8WyPSQDQLK2AYkD7IkA2dxsOZagk7iP0k5YuYLtX798K+L9evXWz5Dghl/+OGHxpXr0aOHB1ewQgRD7QwYMAC7du0yfMlefPFFNG7c2DjJtjMFt4PHpI9O2bDsp59+asjlP1KHEzl2mFZVYNpgH5k4jMs+SzL375dffjEOh7omUsbpL+UxSV1mBk8++WTVO9Asl5HxW7ZsGdP3mrl+O9tyH4i/n9trE6muxLBwpXfHyOlnYc79TyK/tELBKS/9BI9Pmo99f8iI1Edb542ZjykpVXk5PdTOFNFg5UgUMPPq7VVCw2ycfPLJxtlvv/02TC5vT61evRqff/45hg8fHtf/GbzttUpTAkrASwJbt241xNmx8vCZ89hjjxl/onh50RbWzeG84447zhAnSgl3aHkJDg7qRZ1mi474MB166KFeiA4rQxRJZpL+BheI1cxFMuAHO//MPKQ9VLZofBg/frwciuvfcNfPfE+57kQgYdIvgaLFjwQGZyAAZASyx7wQWL5xRWBG7+MDvWesDhw4sDowo3dGIGPMB4FfqvXpp8AHYzoF0HtGoOhAtRPVdgDKrflXLVOIHZabN2+ecbaoqMiQw1+nqUuXLoEHH3zQaTHX+S+99NIA/+ymhQsXBvinyT8Cytg/tmbJycTZ7TNJyvH5Nnv2bDO+atvmfOYTVoxHjx4d4HPuhhtucPTsMcu12pZn8NatW43nb15eXlU21sk/qyRt56/TxD7IO4PyuW0nSRl5Z9gpE5xH6vvqq6+MZ3Lwc5myWU+46xYs085+MEvZl99gGdJOtsUN42B5Xu7v3r07UFBQYIgkR2kjf4OvzdixYwMnnnhi1NUnhoXLUCfT0e6CuzC7JIBAoAQfThqETo23omhVkwpn+lQ6x2eGVDxrONMH5TRCTQTIvCIF78vxSL+yHpObYIO33367MawoX0uR6ormvHlh6mjkaFkloATim4A8i+TZZLe1kp/+pXasV5Hk8rlGdws+58455xzPwkgwFhYTZwiKZSdS3LBIbbVznk76jLXIxH45TdE4aDNoKsP3RJrcFE0dTvpz7LHHWjJgYFb61TF5cQ85aVOkvO+++y66d+9uWOZkYoWEa7Iqu27dOqvDjo4lhsJVvgYzc7ohN//nap0zfLjQGzmdmwJIQ6ustqjhHG840+9Ah6xMpFUr7c+Ok5AQwS3o2bOncWj58uXBpzzf5wNCF6b2HKsKVAJxR0DC08izyW4DJb9XoQXkuXbJJZdAFAHGzrKbrIaszGVlhiCfa0581cwy7G5Lu50EOhXZEiNLnN/luJNfKga1sRwcY36Jgsv28j3CUApWHCTgbPv27Y2o+lwSKB5TqEkWfrQ1MRSu1DboflVLTK7mw7UMc2a8h1bTb0Z2OrvRECfkXI1hqx7Fg7O+qQiGWl6KZY8/hAmrrkTu5e2qhZTwAyZlOg0JYW4HH4x8WDAIqZ9JrVt+0lXZSiC5CNidzchZdXy+0Qol6zuKk3IkYmPGjAFDKlhFsxdLnFjyqIy4XaswUjvkvLTb77hNUp/TX7/aReUpOOYalWeJP2ZWioURrzWXVaK1Kx4TLV3iNO93+xJD4UJDtBv6OJYP3Y37Mw81lvapd8084MrH8ezA46oUqdSWvZA79y4cM6c3GnP5n3qZ6L+iA6a/OaJSKfMbJ4z/6OHMkpFawEVBaar2c1iR/2E4TCBR7iO1Sc8rASWgBEIRkOGYUOfNx+XZKMqR+VyobVpKZMgu+GXPMmKJE0sej23fvr1KHF/0HPKyStIOUdqs8lgds6tkWpWti8fEumjFhYx53Tnzz8/3mluufN/yY0Asj1ZyqEh6MfEiQRSuiqjxnYZMwodc1od/H07CkE4ZVcpWBaR0tOs5DJM+LKnIEwigZPYoDKyRzwqpN8fExOpWmsRm4WrwfiTeOGwj426ZY8L4UZfKVAJKILkI+PFCZVBTJvotieIVjiqfoRIElfn4orca8uI5UdJEaQsn13xOlEwqErTaxWuSodvaaJ/4bNEyKcOnfr3Xou2fWZGnMSLY4vXrr7+GvIec1J04CpeTXtVSXhnXr82bPFLXGa+GySu/jEj16XkloASSh4AfL1RRbrjkGJPZh4j70bhxuL0yZqd8sdo5leVF1PlQdYrlTsINhcoXzXEZPpThxFCy+GEvfRUlLFTe2jhOBYtJ1qSUtSr9aIsqXB5SlTHraMbP5T+KUxO33W5wzUbOGpHZPHbLaT4loASSiwCdnGlVqu1EawNfimIlCW5PqJU95AM4OL8X+1QcgtmEG5Iy1ykvdj9HGGi5Y3w0seCZ6/dqW4YPZTgxWK7ZSsS+WlmOgsvUxr5MPqB/mt9JFS4PCPM/Hh9OxcXFhjRRmtyIlv8gTk3cduqiwynN6xdffLGd7JpHCSiBJCdw5JFHRiRgfrFGzOwiA5ePodVBnqvynA0lSj545QM4VL5oj9thY1VHLF7srLe2P6p53cxKqJ+WIyvOdo8xNESskipcHpCW/3hiZhalyQPRnorgoq78yogUu8XTSlWYElACCU0gOBRAcGf4YvUziQO8PFflOSt1ynnZj8Wv2RE/lEN+qHbQ5USGsULlqYvHySkeZypmZWUZoz5du3b1HbsqXB4ippXLKwfK4IdKtM2keZ1rNYr5NFp5Wl4JKIHkIGAVCsBNz+l7JcNpTsrTAV4mE1mVC3de/L0i+RlZyQ13zOyIH8ohP1T53r17gx+/dT0FK8LkRG5+DvW6YcrhTi49JAq9Gxl2y0StcAX2bELh27MwNfdWDLn+MXy8/Vese/sFzP/6R+y324o6ko83mFsHSjMCmmG9di6UmT6xNJ+a+6TbSkAJ1H0C4tdj1VPOBPNiOC3Sx6gMPZr9YEP5GVm1M9IxLxQGP/23IrU/VuepCMvwLut0GnstVu2MZT1RKVyB7Z/i/13VC50vuR6jJz+NF2atwU97dmDD+4/gsu5Dcf8HG5NK6Qq+wWJ5ISPVVVBQYGTR4cRIpPS8Eqh7BGh5dxp93YlFSnx1ZEahVwQlzITM/LbzMSqWCj/8YNkv8Q0zKxNe9TeR5JgV2lDtluvG86IIh1PKQ8mpK8fdK1yBH/HhpFEYnf97TPnHv/DR5OxKJi1wfu7DyD3pM9x35xws331wfcK6As2qH2K6Nt9gVvnsHgs2x9otFyofA7vJmlah8uhxJaAE6iYBWt6dRl+3a5Ey+zN5TU/CTISaoeiFtSnaNns9XBlte2JVXhRau6M6ks9rpTxW/fWiHvcK165vkPfCP3HkdUMxuPuxODzlYHPqZ2Rj2C29gG8+x4pi+2tlHZSQeFsSOM2Lr57gwH3R0uBXItvXuXPnaEVpeSWgBJRANQJmf6ZqJ2KwUxvWpmDLjpfDlTFAFlUVMiwoBoZQwsIpwn7Pag3VJvNxvhNrox31zY1wtP3rDmwuBZoen4GmKcAP1QrXR+MmXFC6CGW/lVc7Uxd3nM5SiTUDmUUU6isx1u3R+pSAElACbgjwWctYgnZSJF8vOzKs8ji17FjJSNRjMiwYqf2iCIuCJvk5JCzvIzkW618qWxdeeKHhwB/rut1buI7IQLtT0rDly/UoCR41DPyMlR8vA9Lao21mw1j3Keb1mWepSETdaBohw5LivxCNLJYVE66YdKOVp+WVgBJQAtEQaN68uVE8UkwtmTwkz1WZ6RapbvH1EvlSX6Ryet5bAsEKWqQQI97Wbi2NQ+C0ytZGaA73CtdhHdD/tj7Ay5Pwl799jOJf9gH4Fdu/W4G8aeMx4rF1OHHQxTj7GPdGNGtc8XeUAd148RgA1YvZJ2KJEv+FaHscLxGjo+2HllcCSiA2BMINCXnRAgnKadcK5fa5KvKlPi/aLjJFVrBSIcf1tyYBr0KM1JRs/4i8D2+//Xb7hTzKGYU2lIbf3zAVC0pvQv9bLsYso0H/xA1nzwWQhhOvehCz/3oRMky+XR61Oe7E8D/z3Llzq9aLircG0gFfgrPGW9u0PUpACcQfARkSok+qzCqj306wlVx8eTh0JCtuDBw4MGYdEn+qWCo9tLrJrEx2VGZFxqzTCVyRefTGSyXYCRIugD579mwjJmW4+G5OZNrNG4XCBaB+K5x/7xwUdHgLhb/sxLbte4HAFqwt7Yw777scJ6fVs9uOhM8X/CCKpkNiPud/bLdyFy9ejKOPPtqIKs9wFfPmzYumSVpWCSiBJCVgR5lhnnAfdbLQsbxw3aIUnyBR/sSfSpUet0T9KSdKerB08+hNbShcch8ef/zxRtPsvl/feOMN3HnnncHdcbzvfkgRQKBsJeb8sT+6jyxCmytuw6hRo3BXn+Ox+tGrcWa/h/BB6V7HDdICiGpYkjfUjTfeiJycHNx0001xF9VXr68SUALxR4AKjJ/DiPIClheuXQKMHWZevcOO8mdXtuSjtYrDTJq8IxDJb1gsk97VaE+SuOm4mVnasGH0/ujuFS7G4XrgVgx+ehf63H4O2jSoGDtMPbY3Js7ORZcv/oT+t76Itf8N9qi3BybZc9EnzOm0VSpbNOd//fXXhsmUjoFffvllsqPU/isBJRCGAGf9cT25Rx99NEyu2jnF2GF2rRDmFnI2I4eO/EiUGzwzvTYcsP3omxOZwcqwnbJyLcUyaaeMl3lEEZRRJCvZHEb3695xP6Qocbiun4dHxl2EzEpfrZS0tjhn8AQ8uuMbdLzjPRT85xq0axe9ZmgFpi4fc7qyOmc0iu/E/PnzDb8C/t511111GZP2TQkogSgI8LkxZMgQQ4LTwKgsJJYKPyxPUXQLMnM82ME9GpnmsiJfjvF5HY8LM0v7/Ph1qwyzLX5dl0j9lHrDTcKIdtg7XBvcW7gkDtfJx+HoGo7xDXF0q1b874htu5JtRcVwuO2fczp99qWXXjKmuoqyxZpoKqeViykWK6Hb753mVAJKIJYEQn21L1++3GhGsIXGbjgFsVTEyodKLBMSLiISw2AH90j5ozkvz9poZCRDWQnZURt9jeX9YNU/9wpX02PR4bQ0fLt4ec1hwySLw2UFNtpjTqfPclhg2rRp1WbMdOvWzXCW5zqKsXogRttvLa8ElID3BEJ9tVPhorJFC405iSXAiWMzh9m8tvLQt4wfn5KCLRMyxV/O+/3rp5+b322PJ/leL10XT30L1xb3CtehJ6PfyH5Ie/+vGHrTFPz9g09RWFiI5R8vwjNjb8Ftj61D+9suR7Zncbj2obRwDnJ7ZCIlJQUpKTnInb0MpdUC2e/B2plXVp5nHvnLRM7MNaiWNRyVODgnD0g7wU+nT59uWLJOP/30Gi3nMCMVL01KQAkogWACy5Ytq6FsBeexu283KKldecxnZz3HcLMjndRlJ685XIad/HUtjwwdy1ByqP5RYQ+2mkpeWls5c742En2zWH9tJfcKFw5Du8GT8faUntgxKxf/0+sPxlp9Xc69FLdM/hKt73wO8yZkG8v+RN+5cpQVPolr+n6OM+cWIxAIIHDgbzjzH3/ENY8sQ1lVBWXYWLQJvWesxgHmqforQd6w9oiis1U1xGpDZvPIrAqreqmMjRkzBiNGjDCsW6pYWVHSY0pACYQiQIUmUiwiuy/ZUHUkw/FIDOsKAxkpkaHkUP3i0F2w1VTyijFB9mP9W5v1R6eD1G+Jc0e9gJUlq/HZB28Zw1dvvPcxVqwtxLuPXOVhHK5tWPbqiygaNBC9WjaouD6prdHr2t4oemQBlu2stF3tXIm8OXvRsU3zhFKurG44WYrCyleBihZ9tbgeFDV2xtiqjai5Vu3WY0pACSQGAYlJJLGtQrU63EvWzUy1UPXYPc4wEaw3XJKXqgRmDZdXz8WWQIsWLYwKY31t7IwW+U3C/SzFqpalomFGe5yZ0b7qSEw3StejePM+IL0hyjcXY0VpW1zVKi2mTfCjMvpO0CRrDg2xYsUK0B+LFi0mOh+aneT9aIfKVAJKoG4SkNhYYsEy91J8uMzHrLbtzlSz64RvVUfwMYYWiDSjUkYIaMHjc1JT/BBwEwPLi9bLaFFtDilGqXAFsL9sMzZ8WwLryYjpOO60E9C8fo1pjA75NUXXK69FVt/5WDKyOwbSylVeiuVLViJryp9xpRF2ohxlG9djVUYj9Jh/MzLHvYBSABmDp2D6yGvRv1OGI6vXokWLHLbR++yMjfPEE09g1apV+PDDD7Fu3TqjEgY0pb8WfSYYZyvWsbbigY33tONLojKOzfVIFs4yg87c308//dSAvHLlSqxfv97YlvMLFizAgAEDIPs8SRn161d/ZZjLWdXBcpQhdfGD0ZysZMr5rVu3Gpt87pnbYa7TvC3l+Gv+UGUec3lzPm6HkhGcj/vSDzIzW9l++eUXIxJ5uHqs5Hl5LJZ187qZuQnv/Px8g4v5XHAf5bq+/PLLxnss+Lxf+8FtDFVPqPs4VH4nx6v/73FSEgdQ9q+5GDHgdsxad9CLqrqImzGvZDoGZkRRjSEwFWmdbsUzDwxGVqtDD1bRewaK3u2KCnvWPmwuXo/SrN+j65BxKBk7G0A5ytYuwP03/xEbpj6PUZ0OznY5KKRiiw725iTRjfmFVFupc+fOxhqNrP/MM8/E8OHDwSUJGjSoHFatrYZpvUpACdQZAl49TyQS965du9C4cWNbfPbs2RMy3969FSuVHHHEESHz0BInw4ehMvHD1esUzKxZs2bo0aOH19XUSXlkxRTu2vvRcbmf/JBtV6Z7TWjfKsy86S7MKj0Vg+8fiotPboZDgmtNPRqnH+nFeoo7UDj1OvRddQVW7/o72qfR9Wwn1sy8CxdfXw9vPTkI7dMaot2wVxEYZm5EKtLanYucrhNx/vj56PfuMLRz6LXWr18/s8CYb99xxx0xrzNUhfIFVdtMQrWvLhxXxrG5isnGef/+iniI5v+7MizHY9xmAFS6KDCJJcqcny4O5v3gfAxlc++99xquEBz2MzO2ql+G+oJlyh0gPj49e/asFm2ebWNYAZbjhzF9WINlSFnKsmq31BHcB/Nxq22rfljli+UxM+dY1UumBw4cMKoje+Et18rq/glu20knnVTjugXn8XJf7u1bbrklrFg/r7F7hWvrBhT+czsy7vwzHr0nx6PZiCE47PwSrz6yGYPm9qlUtpgvHe0vvxaXTRiD55f1waSezUMUTkOrrLbAnPXYWFaOdunWGhdnNDKJpUv2QwjVw0pACSiBhCbACTk33HCD0YdIVqJQHeWkndmzOZoQu0QfHCqHzz77bOwq1ZpqEOC1Z+xHN6k2g5+6aa9XZay1DzvSD2+CYzKA+o0Pw6HVR+PslHaQpxw7ly/BHDpkBae0TGR1KMGcvJXYGXxO95WAElACSqAageDAnV7EsHKrrFVrmIOdWNdnbhr9gGjd0VRBIHiJI+FCZayuhMoI/j8jfXTz617hSu+KwX++CttfW4j3v/8V/i1RnYr0zr0wKMOie2UlKFqViUE5pyK9fA1m5mQiMzc/SPlibK4NyBjUC51DWLcsJOshJaAElECdISAzsyRwZ6SO8YUpZSLl9eu8hMSREDl+1eNE7vfffx8yvpQTOcmel/cW77FYJrfKsvyfOe6446JurvshxQMl+KbwR7RY8woGHPcSOvXpgd83CxKXejpueGQEzonWjyu9M65/oDPuyFuE/FaXo2e79AofrtdfxJysa/Fm16ZAalNcOXE05vR9Ea9f3xnD2jNPOcrWvI3Z887C9I+6g0c0KQEloASUQGQCZkuSndhXkSW6y+FkeSGpwSrUhZwL/uWSRFwaTVPsCJjvrVjVGg/KcpCG5KTrv2FL4Rf41ihSisK3X0JhcPG0I3DF5OCDbvbT0X7YZEzLfx0zbm6P85dyfPEUDJ4yFUvfvADtDCd6IK3TbXjpzbfw4kPdkPLCNwwKgewxD+BP70xETwmY6qZ6LaMElIASqGMEaGGw639lFfsq1FCLxPeqTVwSrNVOG/xYkshOvcmcRxQuBiN1o1DHgh3v7+C1O6Ot173CVe80jPxyF0ZG2wLb5dPRrucwTOJfyDINkNFpIEbN5l/ITHpCCSgBJaAEgIghFcJBkqEWGXqkUsa0YcMGdOzYsVpRLyPSS2R8mRlXrSKLHWmfxSk95IIAJ1pw0fBokgSmZTDSeFO45H7h/S33d+1tsQAAIABJREFUdDR9NZd1r3AZUhj4dBPWFm3Bb2apAAK7t6BoxXYcf93VOCvaIcUg2bqrBJSAElACiUPAbkR6Oz2S4cJICyjbkeU0D8NReDHRwGm98ZTfy/7HgzU0lmyjULgOYPtn0zD0uj9h0bchAp+mjcCbV18dy/5oXUpACSgBJRAFAVlzToZ9ohAVVVFaUSRshZUgWUBZLBJWebw+9txzzxlxv7yWm2zyWrdubXTZyhrqFwsnQ+h+tcH9LMXydXjjL5OxaMupGDxhAm7Obg2k9cDN943HzT1OBJCN3NdH48KjvAh86lf3Va4SUAJKIPkIhPK/IglZc06GfWqTjpfWlNrsh9ZdnYDXvlHVpQMTJ06ELM5uPlfbHxHuFa6t67Hsn6U48rpxmHLfBOQOOxcoa46uV/0JTy16GU/0+wHzF67AT/7FizBz1G0loASUgBKwSSDY/8pmsWrZvFyQuppg3UloAuGUeXPH/Jz5es8992DZsmXm6uJi273CtX8ffisDmh6fgaYpDXB0mxPQGhtQtLEMKWmn4JLLz8K6p17BkuKK9bDiorfaCCWgBJSAEqhBwKkjOgVwHUOmeHN6rtE5PRBTAnaVeauZr1401Mqy5YVcL2S4V7jSj8JxrYFt35ZiWyAFjVoci5PwI4o27UAAqahvLLC8CVu2/deLdqoMJaAElIAS8ImAOKKHE0+H8UjJyQy2Jk2aVK3BF0mu+bwEQuXMR02JTcDOPeW0h/HsiO9e4Tr8ZFwwtDu2z30IudM/wdaWJ+HcU7bjg1dexVufLsEbbxQAaW3R+qgGTnlpfiWgBJSAEvCQgChUbmf2cZkWOoxHSk58rrjY9cKFC0OKXLp0KRiUNDiJRU0W3w4+H7wvClrwcaf7dofKnMpN1vx27ykv+IjVq0WLFl6Icy3DvcKFZug+4iFM7fMrZr1VhO2NzsCwx3LR5aN70O8PF+OOV/agx7jr0bu1Klyur44WVAJKQAl4QEACgcrMvnAiZUkdmUkWLq+f57744guEWqvPSb2ioDkpY5XX7lCZVdm6dswPy5TXjGTIm3LF6nXUUUd5XY0jeVEoXEDKUd3xv3P/gR+e64+2qYci4/xczP/6M7z3xgK899nHWDSuO470dWFrR33VzEpACSgBJQBAHN7F8mUFJdJMskhhG8wya2NtRjpla/KHgFg7ownJITMGxfrkVUtFuZIPB6/keiHHvcIV+Alfv7MACz7diuatm6IioNchaNL2TOT074fzjv4OC//2Ggq3H/CinSpDCSgBJaAEPCIgX/9i+XIr1skQorxg3dbltJzXUcKd1q/5wxOQsCOiIIXPbf8sY3vFa3KvcB34Hu+PHIABz32Fmq6U+/HTslm47pb/w4cbgmPQxysKbZcSUAJKQAkkCgFZ2ieclS5R+pJI7eRkh2RKXiqEzhSuwCa8dWsHpKSkIOWQzhjNlatfuAyZ3K/21wDHXv08kNYKLY48JJmujfZVCSgBJZC0BOjkTmf3aJOdaPficB+tlS7atiZbeU528CKJj2C0Q3+czBBpWFKG0N1MoBCLmRf+hM6W9knJRM7o+zF2zxso2b8V/1rwNgpbZOOKbseiUfAVaNQSnfsOxoDfHRp8RveVgBJQAkogTgnYXWjaal1BvpTo7B5tqo1o93xxR/Jbi7ZfWv4gAa9Yz5gxAyNGjEBeXh569+59sALTlgyhezWBwiTa0aYzhQspOKRtfzz0fH9g/7voPPdtoKwXpq6/B9Un7waw5z8fY97iVSjacSI66eLVji6KZlYCSkAJ1BYBuwtN15V1BcXxm7MQ1e8rtnddly5dUFJSElWlS5YsMcrzlwpXPMdnczakWA3L0bj6eACDT0LNQUP14aqGSneUgBJQAnFEgC8lvuzsJolfFGnoxq68WOUbPXq0Z1XJ0JcMhXkmOIkFZWdn4/vvv4+KgAwtcyYsk934bKEqFZ9AtzHrQsnlcWcKl/pwhWOp55SAElACCUGALyW+7CSJb4v4ushx+ZX4RV46EIvsRPv1aigs0fptt72iqIjiYrecm3wycUIUa/MHgVtfQvEJtBOzzmmbnQ0pqg+XU76aXwkoASUQ9wTEt0V8XWq7warY1fYVcFc/r5soKqK4hJPESRb0v5o8eXK4bBHPMWo9k/j+cdvsS+gkZlzEyqLI4EzhMvtwHfgaT3T5CEVd/xdPPn0Jajd+axQEtKgSUAJKIAkIyDqHAwcODNtbK2f44AKhZhFKrC05z3JihZAFskWW7PN8sO+UzAwLPi5l7fyKb5advJrHGwJy3exKi3bmn1jT5Fqz/lBR8J3EjLPbfqf5nA0pmqXXOw0jv9yFXTFTtvahtHAOcntkVoagyEHu7GUoLTc3KjhPJnrkPouFhaWols1cRLeVgBJQAklAwO4Lh87wYjEIhUUsCRK8UvLJvpyX4/wNHmIK3jfn9WJ78ODB4J+m2BFwayF1u06lWNPMirlEwY9dr+3X5MjCdWDtK7jzwaU47ob7MOoP2/HKnQ/hnZ1hVJnU03HDIyNwTtSzFMtRVvgkrun7LUZ8UYxAywZA+XeYf+NluOan/8Obo7oiDUD5prcwoe9cNH9oAUo+6IoMlGLZ42PRv+9/0HjNA+iZ7l6/tI9UcyoBJaAElIASSD4CnFgQSVk3UxHLlBczRLmUE4cO4zk5Urjw2xZ88sJS/PeK/wL4DVs+eR0vfFUWun9pR+CK6IZmK2Vvw7JXX0TRoMnoRWWLKbU1el3bG7dftwDLbuqMnun7sD7v75jZ4SoUDeqKDEO3ykDXO8bhgfeGI2/5NvTs2bxSnv4oASWgBJKXgJ1hw+Sloz13SyDUcJ5beU7Kma1cweXi5X53ZPKpd9pIfBlYjacvyQQqhxQDgQBC/u16ApccVS+4797ul65H8eZ9AMqwsWgDMjq2wTHmXqU2R5uOezEnbyV2eluzSlMCSkAJJCQBO8OGCdkxbXStEnA6nCfDyuKL5bTxdp3h2S6xpjmtw8v8zixcljWXY8+On7H9N4tFqlMa4cgWTdAwxbKgg4NN0fXKa5HVdz6WjOyOgcaQYimWL1mJrCl/xpXtGgLlxSheUQJ0tBZbuqIYm8sBu6OKixYtshakR6Fs/L8JlLH/jFlDMnFev369AVX6zFlc9etXfwXIzK7gcxKcMj8/3wgs+emnnxqyVq5cWS3QpDmfOESzDJOUNXaAqoCXwcd5fu7cuTjzzDNtXR/pj8h1+mtuc7igmW+88YbtNjltgxf5o+Vgtw0c/pMk104Y8vjHH39snHbSnrfeegtbt24VsbZ/zff0f//7Xzz22GNGWd47n3/+OV5//XU0aFAxKrZ69Wpb95NULv8H5P+EHI/m12wLcijnAMrWLsSDV5+Fo45sAf7nqvGXMRbvbN7vUK5V9lSkdboVzzzwIy5rdWiF03y9Vji/cCCeubvCfwtlJShaVWpV2NYxWQtSMnM8mH+alIASUALJQkDiGAUvUCxxur777rtqKORlVu0ggL179wYfcrwvCpvjgj4V+PXXX413nE/iE0bsoYeGX64v+B6JVccaNmxYVVWPHj2MbavJG1WZamGj+ueNkwaUb8AbuXdiwoJDkH3VCJzT6Vik17BktcHxjaPQ6araswOFU69D31VXYPWuv6N9GmXuxJqZd+Hi6+vhrScHwZvlNKsqrNro169f1Xayb8gXizLx705Qxv6xNUtORs4FBQUGAvn/y0jzsi1sMjIyjM0BAwbUCNXAE1Jm//6KD+ng8sxz6623whyNvWfPnoZM/pr9bCRcRPBxZg5uqyHA4h9+FFu1wSJryEPh2mEuZLdN5jKx2I71vSy82LdLLrkEjLdlPtasWTOj23avC69h48aNXV1H8zWRe5KVyyoK5ntL7l2710Tym+XaLRsqn3uFa8sqLFlQjIw738O8R3LQtIayFapKF8d3folXH9mMQXP7VCpblJGO9pdfi8smjMHzy/pgUnYmsjpUPCxc1GD4obEcLV1M9EvTpASUgBJQAtER8DOIqVmBi66VWtoNAavgpk79uHgN3S7HY8cZ3m3ICeHB4dITTzxRdqP6dW9+OrwJjskA6jc+DIf6qWyhHDuXL8Ecq9HCNCpZJRUO8YZzfGZIGDWc6UPm1BNKQAkogeQjQEuD3eVQnMRbkmCYfihHjFSuKfEJuJ3daHaGl0C6wTTE58yt0zzXenRbNrgt7hWu9LNw86O3ouHfX8H8f22DF55awY2r2E9FeudeGGRlvDL8tjIxKOdUpCMNrbLaQpzjq2SV/4ziFTvQISvTiNVVdVw3lIASUAJJRoAvNvHTkqjwgoAKkV0HYcZbkvXrpLzTX/ELs1q/kUNUwX5kZvmMms8Ub35e5jbqtj0CVGacWsXMkuU+lhmPPOeVgmSux4tt9woXDsPvLhqCm9oswuBTmuGQlJTKCPCm38Yj8dZPFrMXnbY8vTOuf6AzVuQtQv5aCe6wE2tefxFzsq7FlV2bAmiIE3KuxrBVj+LBWd/AiA5WzsCnD2HCqiuRe3k7hyt1O22k5lcCSkAJxC8BBqTki02G+CQqvFWLzS8vq/NeHAu3fuPChQvRvn1oz1yJmh/KquGkfeEUPydyNK87AqIwuSudWKXc+3AFfsDbY2/D6Pd/ANI6oU//36NZsPqW2hZHuK/BRDId7YdNxrT81zHj5vY4fynHF0/B4ClTsfTNC9DOcKIHUlv2Qu7cHZhxf280Hl4xBpkxeAqmv3ktsu3GgzDVqptKQAkogWQkYOWbE08cOJRIp2YvhhTDKX7x1OdEaAstj26tVVx/U65FIvTVTRvdq0M/f4235hTiyKEv4ounrsbxDYO1LTfNCVcmHe16DsMk/oXMZidPyMJ6QgkoASWgBKIkIItkd+/ePUpJoYsPHz4c11xzTUxf0Bzm7Nq1a+hG6RmI5dEJChn+YwgHrxQuK6ulHLPTNvozhovJZkeGVR73WtKhh+GIxsARJ7RFK9+VLaum6zEloASUgBKIFQFalCTAZTgfKzcvXad9aNSokWcvZ7t1RxrmtCunLucT5ak2+ijD4FT4RXHj5A6Z4CHH7LQtmpmT4eS7V7jSu2L4pJtxyMI3seT7X6FBFMJh1nNKQAkogcQmkJ2dDc7YYlLlI7GvpV+tF38smdRgpx5RlNwu7yN1yDB4LBR+qdPpr/shxQMl+OrzUqSvfgaX/D4vhA/X6bjhkRE450if11N02mvNrwSUgBJQAnFJQIJoeuEQH5cdTPBGiYJk1Q25Zk6UHlGUtmzZYiUy5DH6fCVacq9w4Tds+Wc+Co3pgIV4e25hzb6nHYErJtc8rEeUgBJQAkqgdghIGIZQL04n1gk7PZAhHTt5zXlCtc+cR7djT0AUJKuaY3nNZNme2hzGtGIQ7ph7haveaRj55S6MDCddzykBJaAElEBcERAFKNSL04l1wk7HvIjZZacezRMfBNwo7FZO6m5nLQbHb/vss8/gpk1+0HTvw2W0phx7Sr/BJ//+GQEEsL/0IzxxfTc0btwVVz+4EGvLPIjB5UevVaYSUAJKQAm4IiCBU1u0aGFZnqEa7East3rRWgqN0cH58+cj2qVgYtTUuK3GjcIe7KQ+ffp0XHjhha76aBW/zU2bXFUeoVAUCtcBbP/0/+Hidh3Q92+F2B74AYvuuQV3zPoJnc9rhOUTrsOlDyzFNvWmj3AJ9LQSUAJKoPYJBFsGQrVIAqceddRRllkY/d1uxPrgF62lwBgdpCXksssuw8cffxyjGutmNWPHjsXIkdGNfXFyRqR7yMrJfvbs2RA/MtIVa268kHavcJWvwxv3PooPM27AQ9d1xOHrluCZ59cAl/4JM99ciLkPdMaaJ1/H0s3+LfoTLxC1HUpACSiBeCcgM8gktENwe60sA8F5YrFv9SKNRb1Sh9VLWhy0haHk1d+aBBh+IdRwdc3cFUfohzVlypSq05HWVqQlknHeaCE1x9caPHgwOnbsaMjh0lMczo6n5F7h2roey/5ZijZDhmNo5yYo+Twfi3Ekul94Oo5NScNxJ2UBZWuwoWRPPPVX26IElIASSEoCspSPhHYIBcGupStU+WiPy2w1Wr/iJYmDtjCMl3bVlXYEK7KRotU//PDDxlqeCxYsqIq5FYpFuJhxocr4ddy9wrV/H34zZiiyaTuwtpCa5Gm4sGMr1MN+7NrBKZsN0aB+il9tV7lKQAkoASXgMYFQli6xQsiQosfV1ro4u35ntd7QJGqAlT8dFSgON9K6ZSdFGzOO9R1++OF2qoqYx73CdXQ7nN39SBQvXIAF78/HSy98DZzSG+ef2gg71r6DGU8vAdqfhdN/1yhiIzSDElACSkAJxIaAxLlyWptYITZs2GAUjScLlNO+WOUXnyE/lnSxqk+PHSQgfle8N8335w8//HAwU9BWKB/CoGxR71JhczpEGqrSKMJCtMdlD47Cq33uwdW9Kf50XP/U5eh06Bo8dfUQTF53Dv68YDjO1kWjQ7HX40pACSiBmBPgC4T+LX4lUcy2bt2KZs2a+VWNb3J37Njhm2wVbE0glvG7rFsQm6PuFS7Ux1Hnjsb8r8/H5yt/RoO2Z+DsDhk4JGUHsu+bg4/anYs/tGuKKCqIDQGtRQkoASWgBDwjIH5Oe/fuNWTSATpepuV71kkV5AsBDlf/+OOPYWXLpAo7Slok5/uwFflw0v2QotGYQ9Ck7ZnI6d8HPU7NQEPDXasJTr2kP85VZcuHy6UilYASUAKJRYAO0GeddZZlo61idnFIz65/jqVQFwf9tPi5aE7SFZHhaQ5XW80SNQORSRV2hvnE+T5eotFHaYAKYH/ZZmz4tgS7LKM/pOO4005Ac3WcN98vuq0ElIASiFsCkV5ODCvRpUsXT9pvFbOLQ3ryAvakEodC1Hk+MjBGbvfLamkOW0Jrltt7gcp8NMkP61gUFq4DKPvXC7jxjHbI6tgZnTtb/f0//OMnjTYfzUXXskpACSiBeCLAsBLZ2dnx1CRP2yLO82ahsv6kOeaT+XyybfulbNG6xftLLI5izXLDl8q820SLrFjH3MqwKufewrVvFWbedBdmlZ6KwfcPxcUnN8MhwTWkHo3Tj6wXfFT3lYASUAJKQAkkDAEZ5mJQT03+EJBApXXZ58+9wrV1Awr/uR0Zd/4Zj96Tg6Yabsufu1ClKgEloARiQEBmF0aqyu4L8ZdffkE0VoZI7dDzdZMALUtcoidUEuU31Hmr4/FimXQ/pHh4ExyTAdRvfBgO9VXZKsfO/PHITElBSoi/zNx87DQo78HamVda5MtEzsw1KLe6EnpMCSgBJZAEBMwvHSs/LZldGAqFlIk01CI+N4kYXoG+SUzmWFCheOhx7wmI31Q45Z/L9ciQo90WxItl0r3Cld4Vg/98Fba/thDvf/8r/FujOhXpPSeiJBBAoNrfdiyf0gfIfgRv/ikb6Qb5Mmws2oTeM1bjQLW8Jcgb1h7uO2v3smo+JaAElEB8EjC/dKxeaK1bt0ZeXp4tJ+VoHZLDEeKaeqLchcvnxzm/fJP8aGtdk2n2m2rRogWo/HJB8bqU3A8pHijBN4U/osWaVzDguJfQqU8P/L5ZkLjU03HDIyNwjud+XOUoK3weo0YDU5Zfj05plarUzpXIm7MXHec2V+WqLt2l2hcloAR8J9CoUSP07m1EsY5Yl1dDhaL4cXHoSAphxEZ5kKG2FD0Pml6nRDCKfF1UfoM0JCfX7DdsKfwC3xpFSlH49ksoDC6edgSumBx80IP9suV4etQUFI2Zi4WdmlQJLN9cjBWlbXFVq7SqY7qhBJSAElACtUNg165dRsWiWAW3QoYxuTi0WeEKzher/VDtjFX9yVyPmb2doKZ2WXkVwsRufeHyuVe46p2GkV/uwshw0n05tw+bFr+AR4oGYvrc7pVDiayoHGUb12NVRiP0mH8zMse9gFIAGYOnYPrIa9G/U4Yjq9eiRYt8aX1dEKps/L+Kyth/xqwhWTkz9EH9+s4e/+b4SHbLi8LFgJZWrEVmfn4+zGsY2pXv1V2yfv16Q5Ss3ff888/j7LPPrhL/8ccfG9tWfajKVMsbsWzbSSedVI1HqOvoBInIYJkvv/wSck2C+8Uh55tuusnyfjLXJxHrGSA1WIY5n9W2hAZxWs5KlvmYs/9x5pLGNgOfbsLaoi34LehcYPcWFK3YjuOvuxpneTmkWL4Bec/MBwbNRa+WDUy17sPm4vUozfo9ug4Zh5KxnOVQjrK1C3D/zX/EhqnPY5TJGmYqaGzSId+cJNIx1x3TpASUgBJQAs4I7Nmzx1mBOMidnl7hDRzclO+++w4DBgwIPpy0+7FYI/Pwww/HunXrLBnHgzXUsmGRDgZcp/2BbZ8+Guh3fBr95a3/0kYE3vxxv+sarAoeKJoR6I0+gSnLt1udtjj2U+CDMZ0C6D0jUHTA4nTloVB9CF0i+c4sXLgwwD9N/hFQxv6xNUtOVs7ynJs3b54Zh63toqKiquf8V199FbbM6NGjAwMGDAg89dRTRhmWtUoiU87v3r3byO+mfVby7R5je8mGib/B9fM8/+IxxcO9HHwd3XD64YcfDPbCmddArolZntX1MZ+XbWmTyJPjdn6lbmnTww8/7Mm7z/3EvfJ1eOMvk7Foy6kYPGECbs5uDaT1wM33jcfNPU4EkI3c10fjwqO8DHy6B+sL3sPi3gPR7/SDvlvhlco0tMpqC6xaj41loQNDyAxIkRW8L8f1VwkoASWQ7AS89LExs5QhPXVeN1OJ/22GAikoKABnurpNdtZGdCvbbTkups10xBFHuBVRrZx7hWvreiz7ZymOvG4cptw3AbnDzgXKmqPrVX/CU4texhP9fsD8hSvwE3VUr1J5MQpeKUBGxzY4xn3LvWqNylECSkAJJCQBNwqNOY6X152WF5vXct3Ik3AEv/32GzZu3OhGRFKW6datGzjTNdoU7t6U68GwEXZTqIXT7Zb3Mp97tWX/PvxWBjQ9PgNNUxrg6DYnoDU2oGhjGVLSTsEll5+FdU+9giXFez1rb/n6f+KVxZkYlHOqyVm+Unz5GszMycTBIKhSLWNzbUDGoF7onO6+uyJNf5WAElACyUjAD78ZCZJKp/raTHzJSzBNCUcwY8YMDBw4sDablXR1f/XVV7jkkktC9lsUc4aNSMTkXgNJPwrHtQa2fVuKbYEUNGpxLE7CjyjatAMBpKJ+Azq0b8KWbf/1iEvlLES0RZZV2IfUdrhy4mhkzXkRr6+piDtvOM2veRuz552F6SPNMxo9apKKUQJKQAkkIQG/hhRrC+XgwYPx17/+tVr1L7zwAmS2WrUTuuMbgY4dO1aFB2nbtq1RT12K+u9e4Tr8ZFwwtDu2z30IudM/wdaWJ+HcU7bjg1dexVufLsEbbxQAaW3R+ijzTELfrhOAVKR1ug0vvdkH2x7qVrm8Tyv0ff4AhrwzEQOrzWj0sx0qWwkoASUQnwRk6ZpoWxeP/jbR9sk8HMbQA6psRUs0uvLRKvV+DoG77VkUYSGaofuIhzB17e0Y9VYRxt12LYY9losP+t+Dfm+zOa3R48Hr0bu1VwqXLPETrqsNkNFpIEbN5l+4fHpOCSgBJZB8BGS4zO+ec4iOSsuZZ55pVGX35fnTTz85yu9HP6x8fpYuXQpawTTVLoHi4mKjAXaUKQ6BFxUVuXLklyCscj961esoFC4g5aju+N+5/8BVpftxTOqhqH9+LuZ/fQE+X7kZyOiIbl2PQ1r18FZetVvlKAEloASUQJwSkBeWLGBt1yK2ZcsWo0d288ei+3Sep7Vr7NixsahO6whDoKyszDhr159QfATDiLQ8JSsgyP1omcnFQfdDiuXr8OLw6/GnVzYgrVVTVGhuh6BJ2zOR0/9S5JypypaL66FFlIASUAJJRYBBps1R5uOl87NnVwyTSKiKeGlXsrRDrKJi1aoL/XavcG1ZhcUzZ2Fu8R40UitWXbgXtA9KQAkkCQF5mbnprqzC4aasVRlaIcQSZnU+1scuuugi5OXlwWpoMdZtSeb6xMopVq26wMK9wtW8Ay6+/nT8vOwLfPXTHiPUfF0Aon1QAkpACdR1AvIyc9NPt8M0buqqjTJ0nu/du3dtVK11RiDw2WefwWuFP0KVnp5278NV71A0P64dMp4fibOPfgid+vTA75sFiUs9HTc8MgLneLmWoqfdV2FKQAkoASVgl4BXsxzt1qf5lEAwgURW+IM0pOCuBe3vL8PPP+1G/SObo8kh2/GvhW+jYmnJUhS+/RIKg7Ij7QhcMTn4oO4rASWgBJRAIhKwO8tRIoFLZPBIfd2+fbuRhb5cXbp0iZRdzycRgaQdUtz/9dM4K/MPuOOdTUC90zDyy11c7TP0364ncImnaykm0V2mXVUCSkAJxBkBDufYGdKRSOC//vprxB7QV+q5554z8tGXKzs7O2KZWGYQp21RImNZd7LXxej/33zzTZ3B4MzCVWe6rR1RAkpACSgBpwS4Xl6yJbGwiBKZbP2Pp/4ytpvMHo2ndtlti3unebs1aD4loASUgBKICwJNmjSJaTtonbBjEYtpo2xWJsE14zFkhc0u1MlsEuMtFp2jkz5T48aNPanOhYXrAH7b8SNKS20UTWmEI1s0QUMNG+HJxVIhSkAJKIFoCLRv3z6a4o7Lrlu3Dv379w9bTl6g27ZtC5sv1icluGY8hayINYN4qE/8+2qzLbWocBXjteGd8Zqt3t+MeSXTMTDDhnJmS55mUgJKQAkoAbcEunbtioKCArfFfSknUb1//vlnX+Sr0MQlwCWihgwZgmeffRaikIuCnoi9cqEJpeH47Bx0O/bwyP1NbY+j1LwVmZPmUAJKQAnEgADjb0UTg8tuE90GVtU1C+0STo58ZuVKFHJR0BORgAuFqwW6jXgUswe2TsT+apuVgBJQAkrAZwJulLrdu3frmoU+XxcVX7sE1Gm+dvlr7UpACSiBpCYggSw3bNgQlxxodWMSJ/q4bKQoO50oAAAgAElEQVQ2KiEIqMKVEJdJG6kElIASUAK1QeCLL74wqhUn+tpoQ7LW2bZtW6Pra9euhcRDS2TF19GQYkrj1rho8AU47qiGyXr9td9KQAkoASXgMQFGly8pKfFYqopLdAJmX0CJhxYLxVeUOrFuesXRkYWrXrurMG32Uxh1zlFe1a9ylIASUAJKIMkJMLr8999/H3cUdO3IuLskMWmQKHVi3fSqUkcKl1eVqhwloASUgBJIDgLHHnusrY7GQ7yl4IbaXTsyuJzue0+AFtBEX2dTFS7v7wuVqASUgBJIegIDBgwwGGRmZkZkwXhLsp4itzUpARJo3boiGgJXLKAFNN7W2XR6lRJA4SrHzvzxyExJQUqIv8zcfOw0er4PpYVzkNsjszJvJnrkPouFhaUod0pG8ysBJaAElEBMCJjjLcWkQq0kIQg0atQoIdppt5EJoHClIr3nRJQEAghU+9uO5VP6ANmP4M0/ZSMdQPmmtzCh71xg6AKUHAggcKAQk44pwK19p2HpTlW57N4Umk8JKAElEEsC8W7VUl+uWN4N1nXF45CzdUtDH/VW4QrswY7NpSj9uQz7Q9fpwZlylBU+j1GjgSlTr0enNHZjD9bn/R0zO1yF4YO6IoOHUjPQ9Y5xeKDDR8hbHl/rdHkAQUUoASWgBOoEAZkVxs5IXK546pj6ctXu1eAMRQ45n3XWWbXbkChrdxQWInRde1H6j79h/KiHMOuLUgBpOL7PSEycPAZXnHwEPF+7umw5nh41BUVj5mJhpyaVzSrDxqINyOjYBseY1cjU5mjTcS8m5K3EPT17Gpaw0P04eGbRokUHd3SrGgFlUw2HLzvK2BesNYQq5xpIPD/AmV7160d+1YwdOxYNGzZEPF2T9evXGzz4G0/tsrpI8d4+qzbbOUZfwAULFhhZ7d5LduTWRp7I/wsitiqA/659Ebf2fwdZj83Gp79vikP+uwPFBXMx7rKpaP7JvejZtF5EKfYz7MOmxS/gkaKBmD63+0EFqvxnFK8oATpaSypdUYzN5UC6WRkzZaV/mDldeumlxu7ChQvNh3VbCSgBJaAEfCBw9tln+yBVRdYFAhKDqzb6csEFF3hWrQOFqxxlKz/EPxuejp7tmuJgwQP4+ZtlWNj3RpQMvgAZlU3r1LkJ/vP0KHz5n9/Qs2maZw1G+QbkPTMfGDQXvVo2OCi3rARFq0pDKlwHMzrb6tevn7MCdTi3fEEpE/8usjL2j61ZsnI20/Bn+8MPPzQEcyp/oj4z9u/fjzfeeAMnnHBC3Pahrt/LBQUFmDJlinEvXXXVVejYMYRVxZ/b2NP6Qth7rFoewG/fL8RlWd3QP3cWCn74FQEjWz00yzodvd98Fo/NfAcfLy9E4fJ/4M3HpuNvqV3R4Vhvo9KXr/8nXll8Bu6+8oyD1i2r5jo8Jg75Uix4X47rrxJQAkpACUQmwOFBTUogWgLmOG7myPPRyq2N8g4Urno4qs/DWLv8r/j/7J0NfBTVuf9/WbyIvSFSxEt2wUqRJug1lhqEVlEDYqJShAbEioRg8K2KWP0DkRfrG6BALohofbuJxCC9okQQW0wwMSheC00UjQqJKUWFLAoohKjINTv/zzPZk0w2u5t9md3sbn7n80lm5sx5ec73zM4885znnEndvQQXn5OOnLwN+ODgCXQ/5zo8+Zcr8NVTN+KSC4Zi6AVjcFeFDQs3zEP66a22sOAbeBx1215HaXomrv6V8t1ylhpvQ3KKsq8FXxNLIAESIAESCJ5A3759gy+kk0swPvQ7WZQuV70v67hFCxQ/FC4AcT+BNXUSHlj/Dmo2TMHJ627DkN9ci9znKvHj8Nvw3PY9+MZej/qDdux+bREmme0w79iLbS9ua+8YL7R153jPC+y1c6aPlh6inCRAAiQQxQROPz36PwUXSw/9KL6UInIGqz88/VO4VMkn9UbSZX/Ak2/9A5VLh+OzR8YhNf1W5L3yMb7v1RfWPvEGHy+VKfht83CiDVkZ57kZToxH/+SBUM7xLbXpzvRHkJJsg4meZC3Fc4cESIAESIAESCA0BGLBQqrIBKZwOdfbOtB4Kn6ZeQ/W7KjCxltPR8Wcy3HxxHkoKK/FkR+bPbxURcFvHWjcV4dqDERyf3eqUw8Myvg9cqpXYNHqj9AoFTrs2LHyYSyonoTciUkIrLHBS84SSIAESIAESIAE/CegLKRq5QD/S4icHH7qILLe1ircMHwgfmq1wXa6FYN/uwDF9X0xMmcxXn57C5amHcRT41IxbMojKK7aj+Nm611e2Fn6jUbumruQWJSOnvIZoG42jN+Zgsc33YE0T+tBeCmPp0iABEiABAIj0KuXi59tYMUwFwnoBCJxQVx/u8YPhat1va3/mFGIdysrUfnuBixJq8eCCXl482sNPaypyJz1FEqrNuKeM7djztAb8cyH3/ork4f06hM/65CT5Gn2SwKSRuVgyZv1LZ8Bqi+chcxUK61bHqgymgRIgARCQeDUU08NRbFhLTOWhrPCCs7EypSiFe6JC6H4nJMfUwh9XW/r39AraRRyllyEsZPfxZ7T/KjCxE5iUSRAAiRAAp1H4OSTT8YvfvELGD/b03nSBFazGs7ix7UD42dWri+++AKnnXaaWcX5VE4oPufkhzZkXG+rB357Xl/8BN+ivuI5fb2tVe3W2zoZp/8yDdE/P8WnvmEiEiABEiABAwF5QObl5aF3796G2OjcHTBgQHQKHiNS9+/fPyZa4ofCFedcb+s4Hrr3Rlxi/Gbihjkmr7cVE2zZCBIgARIgARIgARLQCfihcMk6XAkYmHEnnku/BSu+/Abfn9QTp4doCQj2DwmQAAmQAAl0JgG1srnadqYsrDv6CfincKn2xvVAr0QrOAdFAeGWBEiABEgg1gjIUNbhw4djYlg01vomGtvjxyzFaGweZSYBEiABEiCBwAnEgg9a4K1nTjMJUOEykybLIgESIAESIAESiBkCv/71r01rCxUu01CyIBIgARIgARIgARJwT4AKl3sujCUBEiABEiABEiAB0whQ4TINJQsiARIgARIgARIgAfcEqHC558JYEiABEiABEiABEjCNABUu01CyIBIgARIgARIgARJwT4AKl3sujCUBEiABEiABEiAB0whQ4TINJQsiARIgARIgARIgAfcEqHC558JYEiABEiABEiCBLkqgVy/zv6VDhauLXkxsNgmQAAmQAAmQgHsCgwcPdn8iiFgqXEHAY1YSIAESIAESIAES8IVAVClcDvsOFOZmIC4uDnFxNozMLUKV/YShncdRWzDJeV7SqD8bMgp2w2FIyV0SIAESIAESIAESCBeBqFG4HPuLcdPFT6PphpegaRq0Y+W4A2swdNoa1LZoUo3YV7Mf6fm70CRpWv7qUZIzGFHT2HD1PushARIgARIgARIIC4Eo0UEOoeKxxdg84XpMHJzQDCZ+MDLn52JO9Z+RX3GoOa7hQ5QU/YAhA/pQuQrL5cNKSIAESIAESIAEfCFwki+JOj2NrkgBWWvOg1PdahYpYRSW1Fe2iOc4sBc77QNxbf/4ljjukAAJkAAJkAAJkEBnE4gKhatFkTp1P8oLluGh6UtRgXMxdVke5t96OZLixVDnQOO+OlRbT8HI4ltgm/s87ACsU5fh8ZnXY3yq1S+r16uvvtrZfROx9ZNN6LuGjEPPWGog59BzJuPQM+a1bD7jf/zjH3qhX331FWw2mykVRMGQolORwh4UzbofbwyYiTLdN+sdzO29DlfduQH7dR+uEziwtw725IEYlv0s6vU0TaidPxDbZ92G5VVHvAJTDvYq0bhx4yB/DCRAAiRAAiRAAiQQLIGosHA1N7Ie3bPWYOGofk5LVQIGT7weExbMwWMVl2DJqD5IylkHLceIxIL4pEuQMWwxLptXjKs35yDJTxXz6quvNhbYpffVmyqZhO4yIOPQsTWWTM5GGqHZJ+PQcHUtlZxdiZhz/OOPP+oFjRo1Crt37zalUD/VD1PqDLAQW3tn+HgbklOOYOfeQ16WfIhH/+SBQHUd9jW2TGdsJ4Oa0ahOuB6reG5JgARIgARIgARIwF8CUaBwWZAwdDSyrP42jelJgARIgARIgARIIDIIRIHCBSD+LAy/8gcUlXyIBiO3xnrUVA/G5b9MhMWxGwUZNthyy9umgazNtQfWrNEYmhAdzTU2kfskQAIkQAIkQALRTyA6NBDLGUi/LQfJS5fjGeX87rBjR34h1l+Zg+t+1QuwJGHS4tlILnoBL+9WapkDjbv/isL1v8bjM0e0XVIi+vuOLSABEiABEiABEogSAtGhcMGC+NQ7sanmDuCxi5s/2dMtHU80TcbfVo5HP70VkuZ2rN00Bl8/fJHzsz79Mfa5JmT/bTEy+3WPki6hmCRAAiRAAiRAArFGIIpmKcqMwwzMKpQ/T93QHdbUTMwqlD9PaRhPAiRAAiRAAiRAAuElECUWrvBCYW0kQAIkQAIkQAJdl0Dfvn1NbzwVLtORskASIAESIAESIIFoJnD66aebLj4VLtORskASIAESIAESIAESaEuACldbHjwiARIgARIgARLo4gTOOOMMrFq1CrI1K0SR07xZTWY5JEACJEACJEACJOCZwCmnnIIZM2Z4ThDAGVq4AoDGLCRAAiRAAiRAAiTgDwEqXP7QYloSIAESIAESIAESCIAAFa4AoDELCZAACZAACZAACfhDgAqXP7SYlgRIgARIgARIgAQCIECFKwBozEICJEACJEACJEAC/hCgwuUPLaYlARIgARIgARIggQAIUOEKABqzkAAJkAAJkAAJkIA/BKhw+UOLaUmABEiABEiABEggAAJUuAKAxiwkQAIkQAIkQAIk4A8BKlz+0GJaEiABEiABEiABEgiAABWuAKAxCwmQAAmQAAmQAAn4Q4AKlz+0mJYESIAESIAESIAEAiBAhSsAaMxCAiRAAiRAAiRAAv4QiB6Fy7EbBRk2xMXFufxNQkHtcWebT8BeVYTckSqdDSNzn8XGKjsc/lBhWhIgARIgARIgARIwkUD0KFyN9aipHoH8mu+haZrhbx1yknroSBz7X8OCsWuAaRtQ36RBa6rCksRt+MPYVahooMpl4nXDokiABEiABEiABPwgECUKlwMNlW+gCIMwILG7h+YdR13J/6Ag5VpMzxoGq7TMYsWwO+diYcpWlFR+7SEfo0mABEiABEiABEggtASiROE6gQN762BPGYT+8Z5EbsS+mj2wDhmARGMSSx8MGPIDiko+RENoWbJ0EiABEiABEiABEnBLwKiauE0QGZFOZSrxCxTfkOL04UpBdl4xquwnmkV0HMLenfUexbXv3IsDLqOK7f3B4lryuzvX1eMUnK7OIZTtJ2NXH83QHJNzaLgafxtkHHrGwlsFI3vum8teMQ56q0VDaNql5aefpaXNLdXqm5TAR7Wa9XO1tLTlWuWxJk07WqbNsUKzzinTjqok+vagVjYnVUN6vlbTkrc5AQCNf2TAa4DXAK8BXgO8BngNdHQNtFEtAjg4KWiNLRwFWAYjp6QOOW3qSkDS6NEYNmMK5q27Epsntjnp04E437sG9cbg7pxrWm/HkVROJMkizCJJnkiSJdLYUB5vv/Dmc7x+PDMiG89s5Ews8onFNhn7ynuPdnw2SoYUPTQk3obkFKC6ph6N+r7VQ0JGkwAJkAAJkAAJkEDnEYgOC5cvfHTneJvHlO2c6T2kDNaypYqNpHLMkkW1LditWfKYUY4ZZQgPs8oJlq3Kb5Y8sVqO4hTsNlb5mNWuYPlKfrNkidVyzGBsFmcy9t4bUWHhctQWICNuKHLLD7Vtjb42lw1ZGechAfHonzwQ7ZzjdWf6I0hJtiG+bW4ekQAJkAAJkAAJkEBYCESFwmVJysTiZYkoKvwrdjeqqYYN2P3yC1h/5TzMTOsDoAcGZfweOdUrsGj1R2gUfA47dqx8GAuqJyF3YhKiorFh6XZWQgIkQAIkQAIkEE4CUaKD9ELq3c9i07iDeDipm3NZiGvwHK7H31aORz9nKyz9RiN3zV1ILEpHT/kEUDcbxu9MweOb7kBaQpQ0NZy972ddYi42y2TsZ9VdJjkZh6eryTn0nMk49IylBnIOPWezGMfJzMbQi8saSIAESIAESIAESKDrEqDZp+v2PVtOAiRAAiRAAiQQJgJUuMIEmtWQAAmQAAmQAAl0XQJUuLpu37PlJEACJEACJEACYSJAhStMoFkNCZAACZAACZBA1yVAhSvW+95hR1VxHrJt6mOeLh/9NrTfYa9CcV42bDLDU/+TtC+ivLbBkKp5uY22ZcbBlp2Hl8trm5fjaEl9AvaqYuRlqw+OxyHOlo28lytQ27K8R0viKN5xoLG2HAW5GU5uws8T50Mozx1qSKdYC5t5KG9Qy57IqiZm90cUI9ZFb0BteQFyR9pa+cn1VFwFeys2PaXP7OD7Nep7mdHO2Sj/EVTl/RZxGQWodWEMhOBa9qM/jFJG/X7jDuSNHISMgt1oh7ndPTz4+23XvJYj4CoJ4PuLzBItBJr2aWVz0zWkzdXW1zg/6X1sl7Z+jsTdr5XV/9DakmPbtWVpZ2lpc57XKp3xTfXbtOVTz9VgnauVHVVf/v5Gq1w2RkPaHG11Zb2mxzbVa9uXT9WsSNXmlB10ltmkHatcrqUhXZuzervzo+M/aPXbH9emuv3IeKso0bWn2nmuNnX5ttaPqyvO1tu19fsMnPUPsVvdfGTdpdWm94dL+VF36LzurFO15dud153WpB2rWa/NSbNq1pz12j51ifrMTvWdD9eoz2VGHVjPArf8rqEhPV+rUXxVDtOvZT/6Q8kQA9uW+yysWnr+ruZ7aku7QnC/7YrXcgvPzt2RNTwYYpRAU02+lt5GCWpuaHO88cfdpB0tm6tZcY2WX/N9Gxrtyjhaps2xGvM6k7e7+R7UyuakurlRf6/V5F/josS1qTLKDjy1U9M0nRXaKFfteLptbSj6w21F0RPp6brTFCul7KtjH65lzVPfuV6j/pQZPUg9S/qDVl/5vDZn6kKtbNdftTlW9wqX6deyz/3hWfKoOtNUr1WunqtNnfu6tqtU7r9u7quervuA77dd7VqOrCuCQ4oRYGUMlQiWpByUaJVYMkpW4vcWvkZlSSns1kEYkNi9TULLoAtxbXo9iko+RAMcaKh8A0V2G4YM6NN25X7LAIy4dgTsRW+gUobFGj5ESVEV2n/DsgcGjbgC6fZSlFR+3aau6Dzog1FLKqGV5CDJw6+p9XNTDjTuq0M1BiK5v7cPTYWgP6ITbqvUCaOwpL4eJTmD2153LSnqsXPvITjgKzv4cY36UWaLPNG640BD+f1InbUHGY/MxihbDw8NMfta9qc/PIgUVdGHUD53ImbVjMQjCy+HrZs74UNxv+1K17I7pp0b5+ER0blCsfbQEXDY38HKRStQmjYbiyc5P3ekf2+yHkgZhP7x7i+JZqXhBA7srYPdm8Jgr8PeAyfgOLAXO+1WL9+wVA/I0LW1s0t2HDuCQ7Ai/doLMUjH6uRnPQVfb70PI1t85TKQW1De6tcWgv7obBahq/9HHDsiPoYjcO2IAbD4zA6+X6N+lBm6doarZAviz56Otzfdi1HWti9fbSUw+1r2oz/aChKlRwk4e/pabFp8Oazub7kAQnC/7VLXcuRdGh67OvJEpURBEWgoR64tDt1sI3D3lvOxbN4YJHtQroKqh5mbCTj2o+KJp1GATNySMbDZKuPYi20vbgNwEnpfPB9vOj+VpDWtxoSjhbjq9iLDt0IJ0hcCDvtWPLGqGMj5PTIGebLG+FIS0ygCFutZOKujewOvZYUrwG13WJPOhDc7d4AFM1sEE6DCFcGdY6po+pCMfAuxCccqxuHg4qswdt6WdrO7TK2zyxbWgN2r/4Qpq/sjv3wxMvs5LQWWwcgpqYdWn4+cwQmtdCxWDJuejQlb5uLOdbXtZym1puSekUDjR1h9z91Y/bOHUW74pqoxCfdDRIDXcojAsthYJkCFK5Z7123bLIhPGo/5905CzcPPYnPdcbepGBkgAYcdO1bcgVELgIXlK9oqVh0WaUd1Tb3L0hodZuqSCWRofMXt12EBZqH8iSwM7sgi0yUpdWajeS13Jn3WHZkEqHBFZr+ESao9qNnXCFj6YMAQG1Bdh30e1sdqdn7vjsQBg2CFM587KZ2O95bEARhi9XbTdeN47668KIpz2HegcO40DH+1Hx6v8FfZMjQ0BP1hKD3Kd2XdrCLMnZyNVxMfQIWrsuUzO8Dna9SPMqMcrvni+8HO5/4wX8oILTEE91s/+iNCoUS1WFS4orr7vAkvs43mwRY3FLnlh1wSKofXdGQM7Q2gN4ZmpMPqdHhvk7ixHjXVNmRlnIcEWJAwdDSyrO4c3huxr2YPrFmjMTTBAiSch4ysVLTO0FOlOmc3WVXdKj6atw2oLZ6Hy2zDMffAZOzatBCZSYYhQ9U03Y/O5nZxw+ZJBqlOziHoDyVDNG8bd6M4dyxsQ5fiQNYGbFqSiaR2li1f2cGPa9SPMqOZrz+ym34t+9Mf/ggazWlDcb/ltdypV0RkrVJBaUwlcKxay596rmadulrbdUytWqgWi0zVctbvbV1kT18Mz6pZpz6ubW9Z+HS7tlpfJHW5VtmS380ClPp6MnO0NIzRllV+42yCWsTQuCCoc30fWWB12XbtmKmN7azCjmq78nP0NXTS5pa2LnzqVhxnWmuOlr/LuRCtpNMXSR2jtclven+4FSh6Ip3XMpCuzS3b13rdumuBz+z8uEZ9LtOdQFEc51xLrv3Cp6G4lv3ojyhG2l50tTaWm3W4tBDcb7vqtdwefNhjuPBp2JGHuUJRhtYv01d3B6ABVi1tzjPaBrVKfIs4ooiVafmiYOnpVNp8rUytUq/SHqvRyvJFwZI0zr+0OVp+WY2LEnVUqynL11cCb0knK8/nl2k1LQqcKjRKt+qBpDi427ZZqV+Y/I+2TFbwV2ndsgtFf0Qp45bFTQ3Xm2Jn2FrnlGnNaqwf7DRfr1F/yoxWzm7kVte3u5XmdXYmX8s+94cbWaM2ypvCJS9kZt9vu+i1HAHXR5zI0KkmNlZOAiRAAiRAAiRAAjFOgD5cMd7BbB4JkAAJkAAJkEDnE6DC1fl9QAlIgARIgARIgARinAAVrhjvYDaPBEiABEiABEig8wlQ4er8PqAEJEACJEACJEACMU6ACleMdzCbRwIkQAIkQAIk0PkEqHB1fh9QAhIgARIgARIggRgnQIUrxjuYzSMBEiABEiABEuh8AlS4Or8PKAEJkAAJhJyAw74F80bOQLH9x5DXxQpIgATaE6DC1Z4JY0iABEgghgi0fvD74QoqWzHUsWxKlBGgwhVlHUZxSYAESKA9gUZU5Y1EXFycy99I5FU1AuiHSc+/hGVntc/JGBIggfAQoMIVHs6shQSCJ9BQjlybDRkFu+FoU5oDDeXzYJOHbUYBatuehKO2ABlxQ5FbfqhNrlg/aG73JBTUHg9/Ux27UZBxfRjrjkfqrDfl27guf29iVmpvWFNHIdXaI/wcWCMJkEALASpcLSi4QwIRTiDhPGRk2VBdUw+xWbSGEziwtw5IS8OF1XXY12jUuI6jbtvrKLWmI2No79Ys3AstgcZ61PzbZRgxiEpOaEGzdBKIHgJUuKKnryhplycQj/7JA2EvegOVDQalyrEX217cj6zbczACpSip/NpAqhH7avbAmjUaQxP4czeACeGuAw2VFfg480IMIvIQcmbRJBBdBHg7iK7+orRdmkAPDBpxBdLtddh74EQLCUfd/+LF6kuRkZ6BjCygqORDNKizDR+ipKgeKck2xANw2KtQnJfdPPyo+/tkILegHLVOq5jHYTh9ONMwLOmwo6owFyOVz9DIXBSU17Za3tTw57NbsMOQzpa9AltqlXSHUJ47FHG2eSg3KpB63jjYcsvRADVc+jvkFRcjLzvF6aOUgdzCHbA31GJLS3tSkL3iHdgNuijwf/j6o7+15rNlI2+LQU6dU7NTee5IW2vZBiaAU86RuXhW1eUqs+Ktb79GZclXyBwxAJ5vsC51tpHLWV/GIyguWYFsm9Mva2QuCqv2o6G2pE17VuywuwwxtxGGByRAAhFCwPP9IEIEpBgkQAKtBCyDLsS16e/hxW17nQ9Z55BhyiD0j++DoRnpwM69OOBUOhwH9mKnfQSulYd/4w4sn3wLNna7GVVNzb4+TfWz0K3oZtzyVKWuLLUvX+oWi80bKIJzWNLxGYpvSsfY8p9hSf0P0LQmHHvyHGydMgF3Fn9mePjbUXpzHtb3vAGbxLeoaR/W9Hsd6bfko6rNsGdr+zzvbcDsVZUYOP8daNoPqC+7EDumDYdt8CJ8dMkj2Ccy7JoFLLsVCzYYZdiA2TM2otvtpWiSNBXjcHDxVRibt8OpHJ7A/uK7kTr2DSQuqUKTyHnsv5C89U6k3bkB+43KW8XfsK33bNRK/RW3YJgni6EouR8P8zKc6Kxz6BrgjnIcE7nKR6E624Vf6WNYVX4m5tc26ezKfrMT04b2x+BFdbjkkSpo2lHsWngSlo1fhA37WxVwjwxPSsWsuqeQaT3JYxKeIAESCB0BKlyhY8uSScB8ApY+GDCkl8GPS4YM9yP9Whm+siBh6GhkVb+ObXXiKO5A4746VKdfgRGDuqNhxwYsr0lH9vTfwOr85VusF2Na1vmo2PIR6kW5sAzAiGvPR2nRZrzfohSJxaYU0IclgYaKpzGj4GwsnD8dw6zdJRPiB2dh1Zqx2DzjaVQYrFXWObmYnzlYt67BYsXQ0amwVryLD+p9UBDa0EvFnHvvRmZSAoDusA69GMOsVqQvnIs7h1lhERmShuPSlMPYvP2frZY2nIucxx80pBmP+fdOQs3yDdghcjZsw2MzipHSUg6A+HORs2olsjYvxmMVhokG1rHInngO4qX+pDOb29RGRjloVk7X/+cAJHq6uzr2oOTpYqCFjSRbXR0AACAASURBVPAbg+ysk1HwdBnqlJJnnYZ7549HUrwFLexwjYF7ApJGXIQU+9+xvUZZDdsJxAgSIIEIIeDplhAh4lEMEiCBtgR6N1uxlB+XPmTYr9mCJQnjbUhOURYwp6I0RB7+FiSMWoz6+oUYduAtFBcXo7j4ZRTkjkPy9JcMVfTAoIzfI6fmBazb0ewL5tj/Fl4oSsTdk85HAprLtFsHYUCiKFsqWBDffxBS7K4+ZOq8bJ1psAc1+9q6/RtTmbt/Ni46t69haM8o56Fmy53dhiED+hjSKI71bYdnfRJMJjB8jQkZ50FUQ3dBHwIuRcswb3OaPhi1pBJaSQ6SeFd2h41xJBD1BPjTjvouZAO6FgGnFQvix3W8WWFIEQuWczac00Klz2R0HMLenScjSz38Gz9CQfYv0TN5MlZtP6wrQL0ylqIy/xrAMLvR0u8SXN/iC3YcdSX/g4KUTFz9q16tqO0P47JTu7VZ86lb8nSUtqYweW8gkvuLF1ooQhWWXnZ6m7bEdTsb00vt/lcmExiK/8OcGaH6MDFv0f53AnOQQGQS4GB+ZPYLpSIBzwRarFg1uBCfIeXaqYbZcM2O9SkL3sD2CT/Xnelz9eUgjqN23YOYvuVSrN+3HJn9lHVKHLT3ABhkqM9pRZvyBirnJmLvi+8h/doHDXUASM9HzWYv1pioGuG6Bvk1zyMnydMSDoZhRQMld7tivSr+zzSs9eTf5S4T40iABLoEAb4+dYluZiNjioCyYn1cgg0v7m03HKY7vqfUoeqtD1DdYiVpXh4CKefjXN3vyknE8S2OHPrBBY+yopXir//9P3ix9PzWIUs0K2PW6vfwkd3oh+VAY9UKjIzzZ6HR5mUuXCo3+dB1+NLp16avS9an2efNugvvfPSlwdkfQOMO5I0c5GaRWW/iyQSGHfhPZVH0kLR5YgIMfniS8DhqCyYhTuf3vYecjCYBEohmAlS4orn3KHsXJeC0Yi2fi7myHITrgqa6Y/0ezJ1djBTdmV4wORWl0hexumJ/s3LhsGPHyj9hRsFH7TkmnI9Jdydi+eyHUKo73SvrjwUJabfg8Su3Ysa8Z7FDV7ocaKzdgIdmPQEsm4VJHi1FrtWoZS42ofDlT5od3Rt3o3jREiwNYDTPtfTm4yosfWg5ivWlKBxo3F2EO6ZswpWP34I0sUIljMDMxy/F5hl/wkq1vILI8NC9mI3bsXhSUlvfLveVOGNFqUXHQ5+Wgbgy9xYkL12CR8qb+8Jhfxuri95Dms7vFK+18CQJkEB0EqDCFZ39Rqm7OAFL4gAMscLDgqZO5QpGZ3BRlO7AptVD8O5l/dFN1s/qfw/eOiMbG9bPgbUdz1741dWZSJdZfrdc1nY40XImMleux5pLP0eu7WTExXVDz7SNOP2OF7H27mEeZu+1q0CPsCRNxKrSHGBBCnqKTGOfw7EJs/BMenuJ3JfQUex4LLtjKPYsuqhZzlHlSClcj5WZZzoVqe7ol7kYFWsuxYHc1GYuPa/BxtNvQeXa25EqMwR9DR0uB6EK6g7rqLlYWzkFTQ9doNfZzZaHpmlr/eanSuSWBEgg8gnEafLxLQYSIAESIAESIAESIIGQEfDj9S1kMrBgEiABEiABEiABEohpAlS4Yrp72TgSIAESIAESIIFIIECFKxJ6gTKQAAmQAAmQAAnENAEqXDHdvWwcCZAACZAACZBAJBCgwhUJvUAZSIAESIAESIAEYpoAFa6Y7l42jgRIgARIgARIIBIIUOGKhF6gDCRAAiRAAiRAAjFNgApXTHcvG0cCJEACJEACJBAJBKhwRUIvUAYSIAESIAESIIGYJkCFK6a7l40jARIgARIgARKIBAJUuCKhFygDCZAACZAACZBATBOgwhXT3cvGkQAJkAAJkAAJRAIBKlyR0AuUgQRIgARIgARIIKYJUOGK6e5l40iABEiABEiABCKBABWuSOgFykACJEACJEACJBDTBKhwxXT3snEkQAIkQAIkQAKRQIAKVyT0AmUgARIgARIgARKIaQJUuGK6e9k4EiABEiABEiCBSCBAhSsSeoEykAAJkAAJkAAJxDQBKlwx3b1sHAmQAAmQAAmQQCQQoMIVCb1AGUiABEiABEiABGKaABWumO5eNo4ESIAESIAESCASCFDhioReoAwkQAIkQAIkQAIxTYAKV0x3LxtHAiRAAiRAAiQQCQSocEVCL1AGEiABEiABEiCBmCZAhSumu5eNIwESIAESIAESiAQCVLgioRcoAwmQAAmQAAmQQEwToMIV093LxpEACZAACZAACUQCASpckdALlIEESIAESIAESCCmCVDhiunuZeNIgARIgARIgAQigQAVrkjoBcpAAiRAAiRAAiQQ0wSocMV097JxJEACJEACJEACkUCAClck9AJlIAESIAESIAESiGkCVLhiunvZOBIgARIgARIggUggQIUrEnqBMpAACZAACZAACcQ0ASpcMd29bBwJkAAJkAAJkEAkEKDCFQm9QBlIgARIgARIgARimgAVrpjuXjaOBEiABEiABEggEghQ4YqEXqAMJEACJEACJEACMU2ACldMdy8bRwIkQAIkQAIkEAkEqHBFQi9QBhIgARIgARIggZgmQIUrpruXjSMBEiABEiABEogEAlS4IqEXKAMJkAAJkAAJkEBME6DCFdPdy8aRAAmQAAmQAAlEAgEqXJHQC5SBBCKGQANqy19EXnYK4uLinH8ZyC0oRnltQydJ6UBjbQny5q1FraOTRGhXrQONVSswUmeUgunFn6GtaCewv3gGbPr53yKv6ki7EhhBAiTQtQhQ4epa/c3WkoAXAqIkzEPalL+h2+2laNI0aPJ3bBVGf70RU9LuQsHuzlC6vsaO/PmYXXXci+zhPmVBfOoNyFs2BsBHKJjxNCoaDCpX4078ZVUx7LAibdmfcGtqr3ALyPpIgAQijAAVrgjrEIpDAp1GoGEbHptRjJSFc3HnMCtabg7xSbj87rlYmLIZC56rRGeoXJ3GxGvFvfCr63KQYwVgX42HnqlEo57+CKqeehCzK+yANRN3XDcE8V7L4UkSIIGuQKDlntoVGss2kgAJeCbgOLAXO+0ezlsGI6ekHvVLRiFBkjSUI9dmQ8azW/D3FdnOoTMbRuYWocp+ok0hDvsOFOZmOIcnJU1B++FJhx1VhbnOIbo42LJXYIs+hHkI5blX4LKlVUDpdCR3G4rc8q/QUD4PtrgM5D77CLJtMvQp8Z+gPHco4mzzUG60NumyxsGWW44GOJx5f4e84mLD0GkGcgt3wN5Qiy15qj0pyF7xDuwGw1WbhgGw9PstHnz8dlhhR8XsPKyrPQ7H/nL8eflfAZyLnMdnY3y/7q7ZeEwCJNAFCVDh6oKdziaTgDsClkGX4Zac01A6/RrckLcWxeW1TouNu9QSZ0fpzXfjSdyMqiYZeizHHViDoZOfQFVjs5bi2F+Mm1KnozzxT6iXNNpuPJn8DqakzUPxfqdi5vgMxTelY+jqbrij5ig07SjKL/0I2XqaBIxa8jrK5qQC6fmoaarEklF9nAKVomibFXNrm9BU/yJuHqbiPclrjN+A2asqMXD+O9C0H1BfdiF2TBsO2+BF+OiSR7BPa8KxXbOAZbdiwQZX/yxjOd3Rb/xsPJ5zLoCXsGDREiyddx8KxLiV8wAeHH9mq6XQmI37JEACXY4AFa4u1+VsMAl4IGA5E5kr16N02fnYMvt6TLgsGT3F6XtkLgqKK1DrVKKMuUWpWHznRbDKnSR+MDLn52JOzQtYt+NrAIdQ8dhiFKTchfkqDRIwOGcJ1mT9HTMe26YPTzrqyvB0wcmYc+/dyEwS+1kCBk+8HlkoxtMle1yc0Y21pyIrewwGx1tgsZ6Fs+L9uZ2lGurrDuvQizHMakV6y3CqBfFJw3FpymFs3v5P74qn5UyMf/ABfWjR/vz9mPv8R4D1djz+4G/Rzx+RjE3jPgmQQMwR4O0g5rqUDSKBIAiIv9asQtQ31aNyw3qsf2kZptYsxfQJI5GcdJOL07wVKRed06xsqSrjbUhOqUdRyYdoaPgQJUVVsA4ZgMQ2d5p49E8eCHvRG6hs+A51215HKQYiub/B0ylhFJbU16MkZ3BUWIhahxYFBIcS1eXALQmQQCuBNrfB1mjukQAJdGkCFitSx2Uic+IsFNY34VjNesxJ3ozpd77s09IM9p17caCpmaB96WU4tWWJCfG3OgXJ01/qZLwuCl7Q0nRHv9+MwuV6ORdhzG/6RYWiGHSzWQAJkIDPBKhw+YyKCUkglgkcR23BpPYO53qTZXjtKkzPGgGUvo5tdR0vz6BbtbpJZivS83e1LjGhlpqQbf1ijErgLSiWryq2jQRIoJUA73atLLhHAl2YQA8MGnEF0u2lKKkU/ysPIf0KjBjUw3nSjuqa+rb+TY31qKm2ISvjPCQknIeMLBuq3/nEZabfEVTl/RZxGQWodTjrxR7U7GteVEEv3LEbBRk2ZxoPsrSLbh6qbBfNCBIgARKIAAJUuCKgEygCCUQCAUvSRKzM/yWKpvw/5BVXtSpJ+pIN9+GW6d9h2eJMJBnuGvalS7CoeHez0tX4EQruuBNFV87DzDSZMdgHaTPn4crN92HeSrW8QgNqi5di1my0lGUZlIHcuadh6UNPoFxfUuIE7BUvoqj0fGcaoyJ1HI2NP3rApZTGTSh8+ROnTLtRLDMHPS134aEkRpMACZCA2QQMt06zi2Z5JEAC0UVAZhA+iapN16D39nmwdXN+2qdbOh47eD7urVmLWW1WTLcibc5EXLDnYSSJj1bP67A1JQ8VK8e3zM6z9BuPlRUrcemBB53lnYq0jb1xR+WzuFuVZemHUQtXo3Lad3jIdjLi4k6G7aHvMK0lTQ8MuvImzD2xAMndBmLCujo43cPa4RWlcVVpDrAgpXmG5djncGzCLDyTLquTMpAACZBA5xGI0+TbHQwkQAIk4A8BWUx08BTsXFiOzVEyk9Cf5jEtCZAACZhNgBYus4myPBIgARIgARIgARJwIUCFywUID0mABEiABEiABEjAbAIcUjSbKMsjARIgARIgARIgARcCtHC5AOEhCZAACZAACZAACZhNgAqX2URZHgmQAAmQAAmQAAm4EKDC5QKEhyRAAiRAAiRAAiSgCHz//feQv2ADFS43BOOc331zc6pLRr366quQP4bQEiDn0PJVpZOzIhHaLTmHlq8qnZwVidBt77vvPtx8881BPwepcIWuj1gyCZAACZAACZBAlBOora01pQVUuEzByEJIgARIgARIgARikcDGjRvRv3//oJsWOQpX4w7kjbwIueWH2jXKYd+BwtwMqKG+uJG5KNho+Nab5NC/95aLkc7hwLi4DOQWvIYq/dts7YpkBAmQAAmQAAmQAAmEjUBkKFyNH6HwoYfxSsUP7Rvu+AwbFtyG1ZiCyvofoGk/oH7Jz7D1D7fg0QqlnJ3A/g2LMHY1MK2yHk2ahqb6PyFx61yMfXQbGtqXyhgSIAESIAESIAES8EpADScmJiZ6TefLyU5XuOxVRci9vRxnT7oK8W4kdtSV4emCgciafg1Srd0BdId12HTMXzgQRSUfNitTjj0oefp1pGTdgKxUK6RRFutFuHP+XUgpegOVDQ43JTOKBEiABEiABEiABDomcPLJJ3ecqIMUna5wTZu1BxmP3IqhPbu5EdWBxn11qLYOwoBEUbZU6I7EAYMApUw11qOmuheGDOijK1sqlSVxAIagFCWVX6sobkmABEiABEiABEjAJwIHDx7U08WEwrV6070YpVuu3LX9BA7srYPd3SmJs9dh74ETcBzYi50eE9Vj595DoI3LE0TGkwAJkAAJkAAJuCPw5Zdf6tGnnXaau9N+xXW6hcsa702ERuyr2dNBg5xWsA5S8TQJkAAJkAAJkAAJdBaBkzqr4kipV2Y+egqyoBxDKwHyaGURyj1yDiXd1rLJuZVFKPfIOZR0W8sm51YWZu698sorGD58uClFejMvmVJBcIXEo3/ywA6KsCC+/yCkdJCKp0mABEiABEiABEjAHwLffvstbDabP1k8po1wC1ezc7zVk/hOZ3oLBmCIx0S2ds70xuI0TTMe6vvK6nX11Ve3O9cVI9SbE3mEtvfJObR8VenkrEiEdkvOoeWrSidnRSI0202bNuGnP/2pKYVHuIXLab1yOse3ttjpTJ8yCP3FByzehuSUI+2c45ud6Qciub+7BSdaS+MeCZAACZAACZAACbgS+O///m/8+te/do0O6DjCFS7AMugy3JKzCwsWvYjdjTLX8ATsO/KxaMEezMm9GknSAstAZNxyBaoXLMPq3c3LnDrs72DlohWonnMrJib1CAgOM5EACZAACZAACZCAGQQiXuGC5Qyk567EwsS1OLtnN8TFnQzb+B1Iefxp/DGtj5NBd/RLn4k1C/ug6OxT9U8AdbPdip0pD2DTH0cgwQxSLIMESIAESIAESKDLENi3b5/e1r59+5rS5ojx4bIk5aBEy3HTKAvik0YhZ4n8uTmtouKTMCpnif6norglARIgARIgARIggUAIfPfdd3q2008/HYcPHw6kiDZ5It/C1UZcHpAACZAACZAACZBA6AkohcusmqhwmUWS5ZAACZAACZAACcQMgT17mhdeP+OMM0xpExUuUzCyEBIgARIgARIggVgkcMopp5jSLCpcpmBkISRAAiRAAiRAArFEoL6+HhdccIFpTaLCZRpKFkQCJEACJEACJBArBD7//HOkpaWZ1hwqXKahZEEkQAIkQAIkQAKxQuCbb74xtSlUuLzgnDNnDmpra72k4CkSIAESIAESIIFYI/D111/DzFXmhQ8VLi9XSUVFBZKTk/H888/j+++/95KSp0iABEJFQH578uIjf+5+hxInN0dj2Llzp9u0spDh+++/b0zKfRIgARJoR6B3794YN24cdu/e3e5coBFUuLyQe/3117Fo0SJkZ2dj5syZUKvOesnCUyTQ5QiIclNaWqq3W5Qf2ff1tyJKlEor5RgVJ9l//PHH8ZOf/ER/8ZGXn0svvRTFxcW6MiUvQpImPz8fp512WosMUuavfvUrPd61MzZs2ID7778fb775puspHpMACZBAGwKy4OmRI0faxAVzEB0KV2MtygtyMTIuTv9sjy17BbbUNn8zsaXxjt0oyLDp5+Oc6Zq3k1BQe7wlmT87ouHOmzcP27ZtwwcffIDMzEzIQ4GBBLoyAVGQlKVJFJ6bb74ZGRkZusKzYsUKfV/WrVGKkSsryS+KlChGMmwvvyuJEyXpiiuuwDvvvKMfy/4dd9yBVatW6VYp+R1KmDBhgq6EyYtQbm6uboGWeJFBylXKn+Q1KnAis8RJePTRR/V8IgMDCZAACbgjYPaQYsR82sddY/U4x2covnMyVvWZh6ePNSEp3gKHfQsWTM7GB3nPYVZqr+asjfWoqR6B/JrnkWPyx6ovuugi/eEhDwZ5KMiNX+IYSCDWCYjys3XrVkydOhWy6rIoSBs3btSnSt9zzz26uf0f//iHbnoXhUeCWIXlrVAUIzHJFxQUQF5eVJgxY4ZehjqWrfy2VBgxYkTLVOyamhokJSWpU7osotTNnz9fr0e2EkpKSnQFTilUs2fPxrJly7B27VpIfRLee+89fSvKlrRJFDYJMu17/PjxuvXs7LPPbiOrnoD/SIAESMAMAlpEhybtaNlczYprtPya7w2Sfq/V5F+jIT1fq2mSaGc661yt7KgeYUjr/y4ATf5cw3fffafdeOON+rlt27a5no7Z440bN2ryxxBaApHGedWqVfq1Lr+FCy64QN+XbUlJiWY8J/vy2xg3bpye7vDhwzoo+Y1IXjmvguSVONmuX79e31+0aFFL2VKO1CF/X3zxhcrWbqvqkLIlreSToMqUvErGmpoa/Zz8dkVGxVnKEBmlfilD5JI/SVdYWKi9//777eplhO8EFGffczBlIATIORBqvuWR+4HcUySYwbm9VuGbHGFK5VSs2ilSroqYqwIWnHjqxuuuFKV0dfRAcJc3WuPMuNCite3hlDuSOCtlRbaivChFRCk2wkXiRXFScbJVipDippQZOacUMFF6jEEUIilf0kqQY9dyjOl93ZcylCKlXpTk5umJs7RHzqu0IpN6saLy5Sv11nSeOLem4J4ZBMjZDIruy5B7gJkKV3T4cHk05e1Bzb5GAI3YV7MH1sQvUHxDitOPKwXZecWosp/wmDuQE7LE/3333adnlaEK5csiPij0BwmEKPNEGgHxU5ShORkalGu8f//+OHz4MJ599lkYP3Eh8enp6S1xcs44dCjtmjhxImTIUX4zMlR444036n5W7tosDvESZAjRtRx36TuKkzJk4sv69etx8OBBfejQ2yKG0h4Z2pR2yvCpDDXK0KPwEFcC8UljIAESIIFACUS4wtUdiQMGwdqudSdwYG8d7CrecQh7dx5Bcr8Lkf1ctVjtoGnvYP7ASsya/ASqGh0qpSlbuTE/88wzuh/Kddddh2HDhkGchGUW1U033dQy68qUylgICYSRgLxAiBO8+F7dddddLTUHqgCJ8iRliT+VKFuPPfaYrsC1FOxUsGSphlD4RYrcokTJ7MQdO3b4rMiJ8ijKpviIiR+YBPFJU0748jtfvHhxy7Gcl3PitC/3A5mwI35hMpNSFDZR1uRP5Te2n/skQAJdg0CcGNIiuqniNH/TBKzq+zDWLrwcVssJ2Hc8iwX3vozdpccwoux1LBnVx30TGsqRO3gKdi4sx+acwW4XHZMbo6cgzsHewrvvvqtPL//lL38Jm82mJ33hhRf07fTp0yEOuAwk0JkEjh07hp49e/oswl//+lf9ZeLJJ59suaZ9zuwh4b/+9S988sknuPzyy9G9e3cPqSIvWqx6OTk5umDDhw/H9u3b8bvf/U53rv/jH//YIrDENTY2YsuWLXqcHMvLlyhXsvzEp59+2pL2F7/4BebOnasvY9ESyR0SIIGIJCAvizI56De/+U2LfFdffXXLvr87kT9L0XImMleuRc+nFiG1WzrsSMec1Q/hwZWnIOfs15HcP95zm+NtSE4Bimrq0YjBSPCcMqAz0gnGjpBCfvazn+Hpp5/WO0luyiNHjgyobGYigWAJyAvBI488Al+VJ1HOxHI7ZcoU05QtacPPf/5z/S/Y9oQ7v6ztpRStK6+8Uv+tywxH+aCtUpw+/PBDfPbZZ4iPj4f83ocOHdpGwR0zZow+HCtliQL38MMP6/cHWW6GgQRIoGsRiHyFS/ojPgmXzypE/axCZ+840FC+AdXWQchNDO6N2Z2BT1m9AtVkf//730NNXZc3XxlGMfq+RNsl9uqrr+oiB8oj2trbWfKayVn8CeXtTMKePXtw6623dtgsGQ6TsHLlSp+H3josNAIT+MNZlrcQy5ZYrEVpkt+zrM0ja4PdcMMNfrfu1FNP1Ycm5cVsyJAhfuePpgz+cI6mdkWarOQc2h4RX0559inOwdQW4T5cgKO2ABm2eShvMPphNftwIWs0hiZYmtPEDUVu+aG2LPS1uWzIyjjPdOtW24raHolyJW+w4qwrN2dxBhanegYSCAcB8cOS9bLkRlFYWKj7T8l6WsagJntInPgWia+ROMqLIhGov5ax/FjZv+aaayBrgYnfpvyuxaFe1uETBSyQIJYyUYTFT87YB4GUxTwkQALRRSDiFS7LoAtxbco6PPRIGey6znUC9qqXkP+iDY/PHKErUpakTCxeloiiwr9id4uDfAN2v/wC1l85DzPTPPh4hbivxFlXfbdN9l0feiGunsV3UQJiXRX/QxkeFIVBOa0rHPKgl8ke4vgtq7KLM7haBHTy5MkqGbeArmQZF14VKOLcH6jFWvItXbpUn7kpnyQyBrFK0qneSIT7JBBbBCJe4YJlMKatXotpTXmwdZNP+wzA5HXApNVLkdlPDSf2Qurdz2LTuIN4OKmbc1mIa/AcrsffVo5Hv05spQwbiAVBHOtlWrzsM5CAmQREkReLljysRYGSmXVi2ZJrTx7wsuq6KGBK4d+8ebN+LNZXWR1eZg9KelmtndYtM3vGfVmiwIklUSyKomRJv8jMRnG0l2FL2ed9wj07xpJANBOICh8ui3UYspeUIHuJF9QWK1IzZ6FQ/rwk64xTMhwhflwSxJogN1v1uZHOkId1xg4BeWCLIi/hm2++0YewRYGST/GoIBYZZeWSmbPiSC9K2OjRo/HnP/9ZXyNLrlGG8BGQIUkZxpUJCrJOmfSZWCS/+uorvPHGG/p9Qi2jEag1LXytYU0kEHsElBtQ3759TWtcVChcprW2EwuSm6b4f4ilS95sP//8czzwwAMBD010YlNYdYQQkKFBeWCLr5YoWHJdyf6SJe3fTETBEsVMPggtD/g1a9boC4zKwqUM4Scg9wNRsGRBVVfFSvpEFGTpr5/+9Kf6EGT4JWSNJNC1CcjixxJOP/1000BQ4TINpW8FiWUrISFB95kRi0S0z2D0rdVMFQoC4gMkypM4dcvCuw0NDbjqqqvcDguKlUse7GqGnatfUijkY5neCciQrzjgi9XR1Yol/SVDvDLkK8qXHDOQAAlENwEqXJ3Qf2KNOOuss1qGgqh0dUInRHmVYu5WswqV8tTR2k7yeR2xmNAxPnI635sipSxdskq/t3Sd2RoZ0hZl31Vh7EyZWDcJRCqBTnQnj1Qk4ZFLbqDydstlI8LDO9ZqEf8fCf4oT+KnJTPk6BgfPVfDbbfdpk9wUP4kkSS5TNQQR/+f/OQn+qSNSJItEmSRyRCyth2X/4iE3ogMGahwdWI/iNJlXDYiEm+qnYiHVXsgILMRZSYi18zyACiGomXlegnyHcjOCJ6UBVEmxPIm16D4B8q+fDOSoZmAcJNvkYoVWizLDCQgBKhwdfJ1oJaNEDFkrS4qXZ3cIVFQvfqYsj/WrShoFkV0Q0CskeJ7J0t5hDuIYi+LNoslyzWIgiW+ZeKTKpN/JMhnjhiaDrs1wwAAIABJREFUCbz33nu6f6WaHcz11XhlCAEqXBFwHchQj1p3h0pXBHRIBIsgb84ynChWBQ4NRnBHmSjaxRdfrLsemFikT0W99tprutIgypVRYRBLlqzrJsOdEsR/S5TCjz76yKdyu0IiNXKhPpdVWVnZFZrNNnZAgApXB4DCddpV6fJkyg+XPKwnMgkY35wjU0JKZTaB8847Ty9SHNTDGeQlUCw0Enbt2tVS9d/+9jd9+RFRBFWQyRgy69pTENm70j3tgw8+0F+K1Pp24e47T/3A+M4lQIWrc/m3qV1+nLI2j0z1nzlzZpe6QbUBwYN2BGSoWVaRX716tf6wi9RZa+0EZ0TQBORD1xLCaUGS601ZsUTp2rp1qy6DKE3iPygzrY0zE3/96197tMLJJ6TEub4r+TLJZKhzzz1XZybWaFl3kYEEokPhaqxFeUEuRsbJp33iYMtegS21DW17z2FHVWFrmri4DOQWvIYq+4m26SL8SK3NIz9YKl0R3llhEE/ejOWBJVPvZU0muS7uueeeMNTMKiKFgAwdi9Kze/fusImknPTFaV++SCBKlihbb7/9ti7D+PHjfZLlxIkTLYqY69CkTwVEYSLlh5uYmKhL36tXL/0TTqopMiQrn29S6VS8t624EQhzf/J4K4/nOodA5Ctcjs9QfOdkPFQzHE8fa4Kmadj3yLl485Zs5FUdcVI7gf0bFmHsamBaZT2aNA1N9X9C4ta5GPvoNrioZp1D2o9ajUtGuH7g1o9imDSKCcjDTfw/xDJw8OBBfQkRWflYrn/x82PoWgRkrTWlBIWj5X//+991JU+UPfXpKBnOfumll/R4NVTWkSyHDh3Sk6xfv17fdgVLj1qhfMCAAXqbBw8erFsLFaubb75ZH8XwtT9lRqh8XF4sjuoTcaosbqOLQIQrXA40VDyNGQUDkTX9KiTFN4trsV6MaVn/htnzilHrAODYg5KnX0dK1g3ISrXqMwEs1otw5/y7kFL0BiobJFF0BVG61Adu1ZpL0dUCShsoAVG2xLqpFjb9y1/+oi98aRzCCbRs5otOAjJkJw/ccAWxRollS4JY3eWTUTKcLRZWdwp/fHy8ntboXC8RR48e1ePFoiNhz549+jaW/6mhX7FKuwaxUInLiARRan0JMpwr/GViAkP4CCjF2cwaI1zhOoEDe+tgtw7CgMTuhnZ3R+KAQbCWvo5tdceBxnrUVPfCkAF92ky7tCQOwBCUoqTya0Pe6NmVKdeLFi3S327kLYch9gnIEIwoW/Jgk4Vx5RqgohX7/d5RCwcOHKgnCYfztapDvvOogvhsyTUpYdSoUSq6ZausOcqipU4cOdI8CuGrRUzli4Wtu9/tJ598ojdNFChfg/KZk+/wiiLMEB4C6uXAneIcqAQRrnB11Kw9qNnXCMeBvdhp95S2Hjv3HkL02bia2yOL58mbjWw5fu+pj2MnfsuWLS3KFh3jY6dfg22JrOYuQYaXQx327t2rVyHfeFRBDSuKL5k/ytPx48dVEfp9LFR+aK6WtZZKO2FHLFdGa5RynhdFtrGxUZdIFNiKiooOpVPKr/C32Wwdpo/mBPJ8W7x4se6rFkkGBneKc6CcI1zhclqy2rXOafnS4x1o3FeH6nZpYiNCOlvN7pEFBmW4iSE2CcjaPTJLVYaSqWzFZh8H2ir1vcwvv/wy0CJ8zicPebHAGNd5U8OKoij4Ez777DN9eQTJI0tHKIuXP2V0lFZcLq644oqIeiGVtroLShkT5UkNLbpLp+LU8KT4cqoQi88AUbZkqHrDhg16M0XBjCQlWrEPdhvhH6+2ICHtFjx+5QQ89MhInL3wclgtJ2DfkY8lLx7EhcG2HtBnPXoq5tVXX/V0KuzxEyZM0GenWSwWjBkzJuz1S4WRxKNTAISw0mPHjuGFF17A5ZdfDlkGgKxDCNtZdLQx/sUvfoFXXnkFJ50U2tv2mjVrdCuWK58FCxbo5FzjJbK+vl4/V15e3m42ZV1dnX49y1aCu/z6iQD/LVy4EJ9++inmzp2La665JsBSzMsmw35//OMfW9ppZKMYKGWrIxbSF8OHD4dYvr/66itdyMLCQrfWro7KMq+F5pckli1RxqUPu3fvrvsrPvTQQxg5cqT5lflYoq995GNxerIIt3DJWvhnInPlWszrvQap3WRZiLF4dNcFeHBlFuIxEMn9ExDffxBS/Gl1FKYV877MbhELyL/+9a8obAFF9kZAZnHJQ+O6667zloznujABGZr69ttvQ0pAfAi3b9+uz44NpKIffvihTTax0Jx++ult4sw+kN+NBJE7UkKPHj1MEUX4iaLtLUifvfvuuzh8+LC3ZBF7ThbVlb6bPn06TjvtNPTs2VN/8fz4448jVuaABdOiMjRpR8vmalbrXK3saJOmHS3T5lhTtTllB9u2xlN821TtjgBo8hdp4bvvvtPGjRunXXDBBZrshyts3LhRkz+G0BDYtm2bfr3dc8895BwaxG1KjdbredWqVfpvv01jTD6oqanRr8X333/fr5LlfiT3zPXr17fkE87GuNmzZ2vyZ2b44osv9Drkvih1HT582Mzi/S5L6hc5SkpKWvIqprJVDOR8R/K6MlVtlfuFMdx///0tDIzxnbEv7ZfrVGT1NUjfyZ8xyHUkfML5nDPWL/tKBhVvxn0j4i1cjtoCZNjmobzN0g7NPlzIGo2hCRYg3obklCPtnOObnenFCtY8ZTlgrTRCMoo/19KlS/Wx/xUrVkSIVBQjWAIyBCHOyKmpqcEWxfwxTMBXv59gECifIbW6va9l+epY7O3zP77WZUynpu4r3zLXWZLGtOHYV/WrWZuudar2q/MqvWs6Of7iiy/0aOV0ryYruPrxKb84WTaksydWPfXUU/pyNjK72pcg8qovGhjTqzYrBsZz0bwf8QqXZdCFuDZlHR56pAx2farhCdirXkL+izY8PnMEEoS+ZSAybrkC1QuWYfXu5mVOHfZ3sHLRClTPuRUTk8wx70ZCR4vzrIzhy1RhWbGYIboJyGwcueHI5z/Ed4GBBDwR8LTWlaf0gcSLv5Grw3wg5UgeNcTVt29fvQhvn/8JtI5oyydLayhloiPZ1WzRPn36eE0qExPEz0uC+NB1ZpDnkgS5p/ni9K4Wf5UvGhiDWopBvQAYz0XzfsQrXLAMxrTVazGtKQ823YdrACavAyatXorMfuoB1R390mdizcI+KDr7VN0RvpvtVuxMeQCb/uhUyqK5l1xkF8dQsYiIT1cszlhxaW5MHyrrFmclxnQ3m9I4X6wiwVYkH11OS0sLthg9v/LnMsOHS2YiulsqQFm41Dplnf2AVkqSWsbDHUilOLs7Z4w7cOCAfmicLerpE09i/VRrNqqlJIxlhWNfPYvk5VGCN+udksf4RQMVJ1tlMVXLaBjPRfN+5CtcYsCyDkP2khL9syaaVo83l2Qh1aqULSf++CSMylmCNzXNma4ahbMy26eL5t5yym4cWpRPbTBEJwGjdSs6W0CpY42AWGDEEhVJQYad5NM2ai0wo2xqcUpZtsKXIFaXUI4MKAVBDf/5IpOnNKI8GtfzknQywqGGEF3zyVqNEuQj950R1PCf+kKBL2vGyQunSu8qsyhuna1Au8oU7HFUKFzBNjIW88sPr7PfaGKRazjbROtWOGlHf11qaElZUcxukfL/UUOA/pYvQ5HGhU3VZ328WXt8qcM4TBaM9UYsMLJel6ygH0w5vshsTKOUBjVMZjznbV9k9LSel7t88iIua/h19qfglCXW1dfMVWZ1vak15lzPx+IxFa4o7lV5o5GbnDy4GaKLgNxM3TmLRlcrKG04CaihJWVFMbtu8QWSEOgQoAxFGq0vaj9Ya48oLHKfk+CL1URP6OaffHxbra308ssvu0nhW5R8VF7+3AXlA+funBomk3NK+VLKmLv0cn9wtTaK/5e3+304Jla4kzWQODXkqBQ01zI6aqtr+mg4psIVDb3kQUb5AcuifzIM4M6/wUM2RkcAAbnhy0Pk4osvjgBpKAIJAMoiEWkWB3k5GT9+vN5FSkbVX0YFR4bfvH0QWr7kIEGGqpSztirHn618VF7+3DmFf/755z75wBmVL3d1q7Jd/b1cjyVvqBRwd3L5E9eRXGo42NP15q6t/tQfbFrjtRVsWSo/FS5FIkq36enpugO9WLuU02KUNqXLiC03U/VB2o5uvF0GChvqM4GOHmQ+F+SSUH12xiW60w/F0jN48GBdDte2GxWcjobfZEKAKFtiNZIyAwnGoUhlofG1HH/uz6psT9YfY1myCr3x0z++ymNGOjUsKGUpa51Y77z5XyllMhQKjRltUmUYry0VF+yWClewBCMgv1qba/PmzREgDUXoiEBlZaWeRL21d5Se50lAEfD2IFNpAt2KMvHzn/880Ozt8smD1bhKuvINMz6k22VyiVAPZ7F2BNt2NSHAkxyixPgzUuCvL51yKvdlWQhPQ6cqryrLBVdYD+V6EeVK9adSoLy9RKrvXkq/hkKhCSuAACqjwhUAtEjLIiZZuRnJ9xbVDSrSZOyK8sgNSb4RJn/GIDNLZXp3sL4txjK5TwLBEjBakoItS/KL0qAUBDlWvmFqKQdf6ujI0uNLGZJGKQWiuHmSQ36XMhPS2yw/ZcWRMl2tbRIn/lXGNvsqn2s6NXTqabjNNb06VstjGC1x6pzZW8VC9acoUx29RIrvm/jRSb+qRWDNliuSy6PCFcm944dsM2fO1FOvXbvWj1xMGioC8qYsZn4ZOpS/4uJivSpRiOVN+7bbbgtV1SyXBPwiIA9n5QSuHth+FeBMLIqGN4fuQMrsKE9FRYX+sfeO0imlQIboPM32VArEG2+80VFxXs+b4XvkTpmTSpXsSlZXQYKdEepani/HwlaUVFGkLr30Uo9ZxIKoJi1IIrkPelNO1bWolGWPBbuckHpuuukmv6yVLkXoh6G4nqlwuSMdhXFiLZEpwZ6cOaOwSVErstwg5E1ZnHjlZqSsjxKvhhNdV1aO2sZS8KgmIA+nKVOm6PcNmcTh7yd9jI03Q9Ewlif7atjOkyIhD3CZmddRUEN0Uo6n2Z5KWRQlzlNQipCwkiE0M4K8hLlapEShcl2DS+pSsptVtxnyb9u2DQsWLNDl9baAs7thUG/XjOpzpSz7KqtYKkWZC9av+ayzztKrdO0bX+Vwl44KlzsqURo3efJkXXJauTq3A+U7YnJDXrJkib5i8j333KMfP/DAA5CbgdxI1Y2zcyVl7V2dgFoqQWbwycy9SLsulYIjL5S+WBw8DVOpITrjML4npUWUOFFE3QWlCMkSGOKDZAye8hjTGPfVqvHy/UGxhrvm9zQJQF7gXOs2lhvufXnJF2b33Xef16qNipMnC53XAnw8qUYTRCa5vgMNaug50Pzu8kWHwuWwo6owFyPj4vTP9sSNzEVhlR36pxVVqxy7UZBhaz6v0unbSSioPa5SxfRWbpa0cnVuF8uPXXxh5OPi6uElWzmWty75k08zMZBAIATEAuXNAuNvmWqpBF9Xaven/FdeeQVnnnmmP1m8pvVmDZGM/nyrsSOlxZ01RgnnSRFSebwNk6kyZCv+WbJWmfr+oMpvTONuv1evXi3XgLK+JCYmuksa0jjjIrfyEmlUZt1VrJaBkHNK2e2oT92V4y1OlFa5/65fv15/yd26dau35GE/FwUK1xFULb8JY98ajjVNzZ/taVozHG+NvQnLq460AmusR031COTXfO/8tI/6xM865MTQx6tbG+x+j1Yu91z8iXV90/Q1r+R75JFHdId4V9O6HMuXASScc845vhbJdCTQhoDZC1uKv5K6LttUZNJBjx49TCqpfTFK2VC+Pu1TtMYoS1lrjPc95SvlPZVvZ5V87tYIMyrPvlp9ZIkMsd4Yw8knn2w8DMu+WthWKvOkhHoSRFnoPC174Smfa7xcA3FxcS2TxZTSKkqvWCF9WW9NPvUk7h5y/w71pLPIV7ga3sO65QeQdf0l6OeU1tLvElyfdQDL172HBr0HHGiofANFGIQBiS7fWHTtoRg/ppUr8A6WH5w4W4rvQCCfx1DDM/L27C6IT4HcEDp6E3SXl3EkYDYBebiYOTNRWStC/dBy5aB8fVzjjcdqKFDFGa1EEqccs2WYT4KyTqv0auurk75KL1sln1KojDMPXRUnYz5P+944+7KCvadyQx0vFjHF15e6lP+eN+VXRgwkqNmsirHk8WW9Nel3+dSTuHvIkOhpp50WUqUr8hUuLz1j37kXB/RxxRM4sLcO9pRB6B8f1U3y0lrfT9HK5TsrlVKULZnpKT9gMY/Lx3KVL4BK09FWnG7lhuJq3VL5ZH0aKluKBredTUBZGXwdAutIXmWtUA8/T+mNvjye0oQi3miFcbUSKZmMypA7GURBEiuj2UO7ct9wZwFzJ4M3zt7WwHJXlllxvlxDYhHriK9RHmWV9KT8SlplIVTKmQxViv+sMY/c2z0F9WIt9301aWLXrl2ekgcdH/naScL5mHR3IopeeAv7nU5bDvv7eGPHGVi2OBNJegsasa9mD6yJX6D4hhSnH1cKsvOKUWU/ETSkaCvAm5VLLj71Nhdt7QqVvEZlS2bcPPbYY7rS5c+6ZsJUrAVTp04NlZgslwRMJaB8avx5CAYjgKpH1RtoWTIEJJZopSQFWk4w+dwN7SrrirIy+VO+YuNPHl/ShsLaqMpUyo7IoaxuvshkZhplIVTKmbxEyFCiBKUEqmFGd/W6G3JUEyzcpQ82LvIVLvRC6t15WLhvBvp3a3aa72bLRlXWw7g7tVdz+x2HsHfnEST3uxDZz1U7fbjewfyBlZg1+QlUNbZxrw+WWVTkl0/+SDD+KJRiITcEf1ZUjooGByGksmyJsiXWKXlLlBmGEnyd8VleXq6nVz/2IMRhVhIICwGxqPgzxOOPUMq/SobuggnqQWosQxQ2sUgoxS0QZUUpCEp5MJYf7L4ZViZvQ5dqiE1ZdTzJK2tjXXHFFZ5OBxwvZYr1Xyk7vhYkFiSlBPmax1s6d4YDqcPXpU3keSgvyeLDKH/iCiK/B+NkAG/1B3LuJH8yacf3472yLXjzre2o/ioZNy6/CYn/ux7V/a/A1b/8D/hVmK8VN+5A3tjbUJ1VimMl5yJe8jV+hILb/4AbsApP5JyLeMtg5JTUIadNmQlIGj0aw2ZMwbx1V2JzzmC40y7F4c5TePXVVz2dior43/3ud5AlCU466SScOHECzzzzDOS7W/K5jRtuuEFfAb17d9993iKdh5iCpb3SvunTp+Pss8/usJ/efPNN/eZ9//334/DhwzC28eabb9bXJ5KhiJ49e7YrS9LLQ2vMmDH485//jMsvvxyitAUbjDIEWxbzeyYQjZzVQ84M2d966y39t2JGWUJZzTxTLx8Sd+qpp7b5TUmctEHuSb6EDRs2QO5jIqNqu9rKLEgJSn4Vr46N5dfV1bVJq2Rdt26dPkSojl3TGcuQ37uETz/9VJ9dKPvGujzV76lsVZe0T/ZFuVTlSVmXXXZZy7FRDrUv9y4VRAlTeSVOySJbY7xKH8xWylyzZo1ehNxrhcdXX33Vph7VNte61XCdOi/XiicFR7XBtQwlu+Iqx5LW4Wg2rOzfv1+XRZ2XT965q0OdlxEhtZabyCVrJUqd6rw3GZUsvm7d6SBu82rfvIv/unY0hv72Bsxe+hSeX70bB48fwZ4tyzFhxDQ8VLYPP7rNGUykAw07NmB5TTqyJ57TrGxJcfHnYGL2b7BlwVrsaPBivYq3ITkFqK6pR2MwYkRp3uHDh+s/Bpn6rZQtmUV3++236/Eff/xxlLasvdhyM8zPz9eVHvFxEMXr2LFj7RMaYuQH9eijj+oLP4rjpGsQp0sJaqjA9bz8EIWr3Pi2b9/u0XfLNR+PSaCzCcgLmFyz0exT+O233/qMUX7D3tZVOnr0qF6WSuPu3vHDDz/oaUSJNCP8+7//e0sxsg6XvAwHGvx5cfZWx7/+9S/IX0dBKbuBWKxESVPKTEf1eDuv+kOlUb6DaokMpUQdOHBAJWmzdc2vTrqzqqpzQW81X4LjS60s90IN8RO0ZW99rG1dmqYBt2jr6/9P+7/6zVruBT/VcO5i7d1vHb6U5keag1rZnFQN1rla2dGmNvmaavK1dKRqc8oOtolvc9C0S8tPt2rWOWXa0TYnvB8A0OQvFsIFF1ygt0Xas23btpYmjRs3TpM/X8LGjRs1+YvU8N133+ltkbZ+8cUX2uHDh/U2r1q1yqPIxjyy7ynceOONbjlJHnWdqK3UG0yIdM7BtC2S8kYz5/Xr15tyb6qpqdHLef/9903rGvW7ExlV+U8++WSb8uW3Iud9DbNnz9bkT4Jqu9rK/Ut+8yqoeHVs3LrWq+STrQSV1zXeWIbxnEpvPF9YWOi2b1Q+uZeIHCqoMqR9al+dc5VXxautOq/yGe/PUo+UKfc/Y30qr6et6j/J4+1eJufVnzxTjM8VVbbU7/p8kTwir5xT+RV/lc+4VW0zxhn31XlVrlzLsm8sU50z5lP7qr+M938VJ2lUv6nyzLhv+GbhOvYRSp7/X/x0yjRMHfEz/LthFO4kaxpybh0NfLQdO/d6ng0QmGbYG0Mz0mFtl9mBxn11qLamI2NobzhqC5ARNxS55YfaptTX5rIhK+M8JLQ902WOZKxdFoGrqalpY4GRb/nJ+LW7cfBogyOLikpbxNokb+zGSQMyTu8uiJlZ5fHmcyGLlLrjpFYwVmsYydi/cWaMuzoZRwKRQkD5/yh/IDPkCvf1L79LX3wmlT+ZWg9L2qrarTiY0X6xonlaEkbKF78zd+cD8XOTmdSeZjWq2ZhqFqqvbVOfHZP0aujPNa+rz5tYBN3NyvZlSQbXsoM99senT9ohM9GlP4z3f+XbF6wsnvL7pnB9ewQH7EDvs6zobVC2mgs9CT179QZwFI3fexne8ySB13gLEoZNxsLL61DycgVqlfN74yd4ubAUyXePx7AECyxJmVi8LBFFhX/FbpUGDdj98gtYf+U8zEzr47WWWD4pCkhmZma76bjqW35Gf4to5CA3U1mpubCwEMbVsuVbhhJE0XQNooTJ0Kr82Ix5XNPJseL0ySeftDm9evVq3cFS1taSacicndgGDw9CRKBv3756ycG+KKlhk2geUvQVsVKqjM7USjlUHHwpK1SzImWJCn+DUqp8yacUzo7SSjq5l0nwNFNPDdt1VFY4zqu+U8qnp2FKlc4o02uvvaYfyoSpcAbfFK5TrUg6Nx5fvleHejHaGYN2CB++vQOIH4yBthCsKhx/LnKeWIgMlOCWnt2al3xIWoavp6zFplnDnH5dMpPxWWwadxAPJznTxF2D53A9/rZyfMuCqUaxu/q+3HDkQn377bejGsWcOXP0m4Tr53LEJ0KCeusxNlLaLE6W0v6OgnAS65WsyK2CvB3J26oosvJ29Prrr+v76jy3JBAqAsrHKNiHv1hHfLn+A22H8ntUlqRAyzEjn1huzLBAq3tJILMizWhHqMv44IMPdIuhUmC81Sc8Ozsoi6JSPsWi52pBlGN1LRrllWeAtDPcLxy+KVw/ScH428cAf1mC+555G3uPytpW3+Kbz3aiZNU83PHop/hF1lX4TaJvM0+MDfdpPz4Jo3KW4E3N+bme+kLMujyp1YleCrFYkZo5C4X16pM+JViSMwpJXAjVI+KLL75YVxw8Dbt5zBghJ2RpCxlWkCFFo1lYxJNjuSm4M7vLjEI55+uNc/To0S2L4knZyvQ+atQonYR6W44QLBSDBDokINaMn//85x2mCzaBO2dudxaHQOsxWq3clSH3NrGAy2/YWxDriLLueEunzqnhSV+tRyqfL1t/7sdyf5PZ0WYEeYmUoUClwHgrU142hVewCrVahd9bXWafE77SVnn+eQquQ6ee0vkb75vChXj854152PCnRLx861WYuPB/AazBjb+5AFfc+RJw7SIUPnAlrO2GG/0Vh+nDSUDNwlP+SOGs24y6OlrZfdiwYXC9IaoFSsWHzdegZjCqYZyXXnpJV9jC/Xbkq7xMRwIdEZAXlUCGsjoqV857U6g8WRx8KdddGjUTzd05iRNfTQlqXUJP6YwLZnpKY4z3R1Hw9cVOla8W6vR1BqAZfkdKwZCyxKfM9b6pZFNbeXbIoqHBvmz6cg+VF+vx48erqoPeKr7nnXdeu7IU81ANnfpukjqpPy67vwjbUl5D1dEGfP3ND4D2JWrtQ/HHByfinPhu7YRnRGQTUDeCf/7zn24dHyNZemXd8rbulTxQ5O1WbibqxqB81pRvli9tPPPMM/Vk4sclN1p5O5KJCAwkEI0E1IuD8gczsw1KoVIvc2aWHUhZ6mPy6l4XSBm+5pEXQPEl9TeItUwNV/qb1116URrEIdyfYT+lYMiSOqIwy30zVKEjq6RrveInKy4gct0aFTRZHFZ8Z/2dHCD9JMFfOVzlCuTYRwsXoDV+iKLbxmPEzBoMuOZ2zJo1C3eNOQu7Vvwew69+GGX25jVKAhGCeTqPgNwgo9GPS5zWxaTtboaMoqneVowzbmTWprRZKWAqrbet+pHLW59ytvRldpS3MnmOBDqLgPL/Uv5gnSVHOOqVB7VZE1q8We5UWwKxNslLnLpXKWVYlRfIVskgVkxfw8GDB31NGnS6jqySrhVIH0pQSqE6L/EdleXOWicvzPLs8OcZoOoMduubwqV9hTcX/gFTnzqGMTMuxoDuzWOHlp+lY3FhLi74x70Y/4cXUPt/rh71wYrH/KEmIG+icgH64zcQapk6Kl9uSiKzLG7qLchbrfywZOFXCZJPbkId+XO4K1OUNHGcF4VNnC0748fqTi7GkYC/BJQTcSDf/PO3rmDTy0uO67IJaphQyla+VMHW40t+5aTtS1pPaTqy/Cll2FP+UMWrWYnhsAQG2oZArIAyymFUPNVQaWe9MPumcKl1uG74E5bPvRIDezQrXHHxA3Hx1AVYsWgMGje+jm2lmls8AAAgAElEQVT/opUr0Iups/KpG5aMa4syEQ3fWJTPfUjw5Ucjb7d33HGHrlAGMpyo+kXM8/LDlT/XGZEqDbckEA0ElKXGdaKJmbKrOoItU35vytdMWYHkZUsFf3ypVB5322+++cZddEjjlCUqpJUEUbi7l3BlCTOLuz/idXRNyRCjq3LuqfzJkyd7OhXSeN8ULrUO1zln4j/aOcb3wH/07w/gIL4+Zv7HfULaehYOtXyC3MQmTJgAGS+P5CA3geeff17/2KgvVibl8C4TA4KxTsnQpZpG74//VySzpGxdk4AZlpqOyEkdZs2e66gudV69PAYyLCf3P6P1KRyWJvGXCjaIkmHG0LBxmRCl2Lpbw1BZwpSbha/yK8uS6iNf8rkqpMoy6ymvDDEq5dxTGhXfGQqj1O2bwtX7Z0j5ZTz+WVrZftgw1OtwKULchoSAWj5BORLKRbtz586Q1GVGoaI4iYxXXXWVT8WJoiTDirIQarDWqSVLlujDk74oej4Jx0Qk4CcBNQ1fLebpZ3Y9eSitOWJhECVAgusDMxBZ/cmjHqLBKEtqSC2Q4St/ZJW0Iq/cm1Sf+ptf0su9sKP7ka88XJeDkJfV0tLSQMTymEf1kccEhhNGhVS97BpOR+WubwrXyefg6plXI37LA5h28zL8T9m7qKqqQuXbr+Lpe27F7Y9+isG3T0RaqNbhikq00SO0usmoGX8ffvhhxAq/detW/SbV0QrxxgbIl+3lxiY/Wm9rrxjzuNuXG5s/9borg3EkEAwB9XDtaHjFWx2u1hxvaf09JxYGUQL8DWKVCsQyFSl+aB1ZcOT+4xrESuRuaQVlyQm0ba5WJF+UR09KeDDXmWt71bGrfCre21bWjFOKvLd0kX7Ox2UhfoKkqUvx169zcePsXFy32tisM5D2x//GEwvS3Hz2x5iO+5FKQD5vIOZ0NWwmQ29mzewxs80ynCjTlVetWuVXsaJQyo2NgQS6OgF3fjmRwGTGjBn6QsRLly71S5xQ+qG5CiJKlazt5y14suCIv6m/imigbfMkgze5RQkP11I3Sj6ZiOQtGC1/gSryysqqlgZSyqyxbG8ymH3ONwuX1HpSP1wy63l8WL8Lfy97Te+cV15/Gztrq7B5+bWhXYfLYUdVYS5GxsU1f9pnZC4Kq+xo8+VG1zRxGcgteA1VdlkVn8EbAXnTkpWDJVx55ZX60JtaCM9bvnCfUwu0qu8khrt+1kcC0U5ALfqo/HTC3R5Z+0hZg4x1y3B/uINYvN19icKTHEYHfk9pYi1+9+7dndYksea6swz6I5AalnRdUkJZiv0py4y0vitc0PBj45f4/KtvcdKpiZDFIM/ocwp+bPgcH79XhaqqT3Hox1AsC3EEVctvwti3hmNNU/Nne5rWDMdbY2/C8qojTgYnsH/DIoxdDUyrrEeTpqGp/k9I3DoXYx/dhgYzSHWRMtSN2N/F5MKBJ5DhxHDIxTpIIFoI+OrPE6r2yLpJnaFcuWuP8llSCmAgQ13uyvUWp+6v3tKE+5w3q+eRI+oZa55UysLly4xCM1eYN68FgZfko8LVhMaPn8dN5ychechQyCyt9n//hbcONgUuiaecDe9h3fIDyLr+kpaPUFv6XYLrsw5g+br3mpUpxx6UPP06UrJuQFaqVZ8JYLFehDvn34WUov/P3tnARVXl///DaGqG+JCuzIjpEoG1UhqmPViLWJBbPkRm/UtF0d9qmw/lDyUfan9bahr8tLK2XJMkrH62ik89CCrSZlkEZUu7ArFGiTOapgZTGsnc/+vcmTNchrnMneHOcO/M975eOvfhnO/5ft/nzuU753zv9+xDaV2zsTC5lug84FxfkM/7s7iKb775RhNs2HSiFqc6NQGHlCACCgjw7zWP21RQxe9FWvuD31rjnqakWqvr7hp3BNxd0+I5HtOkxHFpTf9Aj3qyGZWCggJFz/LZs2eLLypJpwaZLXwGhp9vzT4tXVMWw9VQjpw/PoZNlmsx9elp+MM1l+MSVysMv8HQnoFd3sdyuAYnbECE1YzK8h4Yktm72WuXhsiBGIK/oqB0AZKSertqTMcyBPhQO5tmZLEV7BcpWz+wPTf+5iRP89CeulDbRECvBPwRBO2OhVwQtruy/A++N3WYHC2OFrmzz1/neExY9+7d/dVEC7lsirGt03xMqKe1LXnDbOqP/eOjkGxqkB3zKUI+ZejtvcPlu37y2C72FjCX7VqmLcfKHK4fjqLs47MwPvok1i5NCWxwfMT1mLQgEmPf+AfmJaaKo1w2yxfYV9IfWdmpiDUAthM1OGwBhrglYcbhmtOwobkz5rYonRQJsDdCWHJRvl4hO3n8+HHxGhvx8jYHixpY+ZuT119/vRriSAYRCEkCLGhY7ZEhdyBZEPajjz7q7pLsOVZnw4YNstelF5gNWhrt9jRV29ZRKKntnvZ9fbvRk1x2nU0xKkk4rUSWmmXYvcM2T044cxhbW2OSx3b564eJsinFy3og0gh07NYVnVskPlUTmztZPZCwIBvLa+cgqoM9aL6DKQ1lU57BgoQeAGyw1laj3F1VOucTAf5GCFuvkN+cbOFmNvTPvswsN4uv0wA+KQSI6z2ykTdf39zxtV2qRwS0SMBffxDUtLVLly6KxMk5K3xUQ+ki23x0gr+JpqhxhYX4FJa74uzNxT/+8Y/iJTlnR2lCTibEbDa3aRTJ22ckz+nG+bmzMVjOMYexPafTlY1wRQzH1Cfvx1+f34m9M6/H+CsuQ8D8LmsJssf+CeVTClFfMBjhrOetXyHnkYcxHevwUvo1bboXwsLkLdm1a1ebZOu1Mh/iZ78a2HqF3bp1w4EDB5Cbmyua9Morr4hTjQ899BACMcVXX1/vXDsxFPokFGzUwndDr5zvuececQTal1ETluCYjTz5y3Y+zSXtX2lb/Lr03KFDh5zFpeeZ48G28vJy/PDDD6IjwgtWV1fL2sDa6NixIxoa7G+o82Nel38yGWx77bXXxE82is7fynOtw3X5/vvvxXb5MVsujNvEhOzdu1eU5fofL8PK8zakZaTyWBk2iyBlIS3L9rnu0vNy5V1tkdZh+5w/z8PIzv3P//yPOMPBOXOWvF25trhsbi8vJ7XPnf28ntyna33pMdeJ1XXly8tt374dV199tZMb10uuPaY/62t3MuXqKDmvzOFqNOOrsu/Rt2IL7hnwJhLuGoXfXe5S1TAUM9fMxa2qxnHZUFeyA2sqk7F54jV2Z4tZFX4NJqbdhGWT30TJxOVIjIpBPNTNiKsEXrCW6dy5s2jaVVddhYSEBHF9KpY8lK+zyG5etvnjDRZ3THlCRPZmLG1EgAi0jYDSkSdfWomMjPSlmqI67IefNxuP81H63OjUqZM34nVT9sKFC17ryn5If/nll856Wnmz1KmQwh32VizbAvW3ypNaLl6TXPHzOFn2Gf4jXrag7N03UeZaNLw77vMuZ52rBDfHZ1BaUAgLkl2uGRDOnCyLIyB+2EAMMboUcR6aMGSgfPyWILRMZcFHvcaNG+eUEko7bPj84YcfxrJlyzBx4kRs3bpVNJ85XdLtkksuQSAY8S8Le2MlmDf+qysQTIOZoyfb9M6Zj0R4e5/wHy533323mOTYEydfrrNpQNfYLameFy/a19uVnuPfb9ae9DyfUkxKSnJOA02ePFlUKyYmpllZqa4sqJvJcVdfWo5z5EHgvG0WutDY2NhMvqss6bFUJpchPcf2ud1yzzCpPP4mqZwsJo/rzva5I+quPI/Xc3eN68h1cy3D22Dn2T7TkU/HuZblsvinq0ypfVwGL6vk07W+9JjzYnKk94pULr8npDZJr7vus/I8HozL5M8N17LeHCuL4epwHeZ9Xg/mnMj+q38Bd/dR+y3FXhiWkoyWvpQjbsuYjJRhvYBwE+LizzmC45vMtwfTRyMuSpyIbLpAe60SYIGDbFqRB6WyX378QddqRT9d/PDDDwMS6Osn9UksEdAEAR4rpcZix2oaJI254k6hJ/n8j6Gncr5c5/m5fKkrV4fFeXHnR66Mr+e5w+VrfenC1a3J0Osol9QmlkqDJd9tr02Zw9Ve2sGAiOEPYvkd1SjYWowqqyOflvXf2JpbiLgFEzA8wgAYopEy606UL8vCpgp7mlOb5SM8v2ItyhfNxsRYZcGb7WamBht2fROR/aJkG/v1F8iNBeezWDK29BBtRIAI+E6AO1y+S2h7TR4AL+dYKdVRb/mX2PPU22WL2kLb2+e0P5zMtujvr7osNotPM/qrjdbkKpxSZCJYpvnjqKo8ifMuEoWfT6Ly8FlcOfkB3KhqDBeL1xqM9JeWo+jtjZjVbTTEdeiNU5GV+yZ23xHriOvqhH7J87B5+UY8fXV3zBD1G4ypWX/B7odGIsJFXzr0ngB3uNjSP2wBaParlAXg+vshwgP4A5EF2nsqVIMI6IcAn3rxZUpHLSv56JrUsVIrh5KvOnpKFdCa3FOnTrV2ud2uMQfKHyNq7Jnv7Vq2DEIovQnZWqcrdLgacfaTdZg2+Qns+o/Vvbzwudj9wAPur7X1bHgsktJXi/9kRSkpI1uZLngiwIatmfNz+eWXi6kZ2ALXgdj4dENcXFwgmqM2iAARCDABNoLNRmR4LqW2NM/ksCkyvjasElkshsyTEyp1EKUyT548KT0MiX1fRoh4GhOe58pfoLSe2kLZlKLta2z/87PYdfJaTF22DLMS+wPhozDrqSWYNeoqAInI3LoQd6oew+WvbiG5vhBgw+Le5njxpR1pHfbwZLnAAt2uVAfaJwLBQICN5PAA8UDY483bkGpNaXkrR+noGh8dlMuzxRw9b6fx5PqAjSK1NUaNpQxRmjaExTW5K8vO8eB0OV21dt7fDl1b7VXmcP1QjZKPLeg5eTGynlqGzPTbAGtvDL//Cby86y28MO4Y8ncexqmWL/y1VT+qr3EC/k6Ayh4GLOCUNiJABOwE2B9j9kfZ242N5AQySziP1/JGT7mRJG9kKC3L4kK9HVWT++HHpu9eeOEFpU23KMcdOT6i7ylGjTtkcg70Y489BvZPycbimtwlZmXntBoo780UJWPE8nHxuEFP9yUvr4Sdt2WUOVwXG3DeCvS60oheYZ3wm4Ex6I+jqKy1Iix8MO6eeCO+fnkL9tX84m37VF6nBPgXnsdY+cMMlp5C7mHgj/ZIJhHQAwFPf4z1YAPXkY+gPPjgg+IpPpLEDgLpfHF92vIp54wpkeltXX4PyDnQTJ63MlvT0xcHvzV5bb3mzRQlY/Tdd9857yceRyinAy8vd70t55U5XBF9MKA/cOY/FpwRwnBp3ytwNb5H5fFzEGBARzFh3HGcPPNrW3ShukSgGQH2JWEbd+6aXaQDIkAEvCLAnBt3U0deCfFT4a5du7aQzJ0vT/FVLSrSCSKgUQLKHK7LrsEd00bi7OZnkPniR/ih39W4bfBZ7N/yNt45tA/btx8EwqPRv09wZurVaN8FvVr8gcuH24PeYDKQCPiRAJsecjd1pGaT7hwnNeV7kuVL3JHSOC5PbWvxui88tGhHsOikzOHC5Rg59xlk3/UTNr1TibOXXo/05zJxwwdLMe7mP2D+lgsYtXg6kvuTwxUsN4ZSO/w57M9f11ZzaFypXVSOCBAB7wm45u9rTQILGeAxS2r9qPIl7iiY8/x54sGndPWcdqc9E5m2dn+7u6bM4RJO4Z+fncaVf3wNVa9OQLShM4yjM5H/5SfYs307tm1chnt6WXD0XKO7NuhcEBLgw/x8FMofJn7zzTceX9f2R7skkwgEGwHm3GhpY0HPLMUMX8hY6Y8quSBxNW1jf8C1FrPkap/aDpI3I5Oegs5ddfX3sS9pKvytk5x8ZQ5X43fYO+8e3JP7DcL794I9edcl6BE9AikT7sINl32CeQ//FQeOuqZElWuWzhMBzwSC+ZenZ+upBBFQj4BW4iF5nqTS0lLROOk6ijyHVmtWywWJt1bH22vt+QecvU3HNh4UL6c7d5DaIybPU9C5nM50HpB3uITjeOfheLCFnMMuGYaFbOXq1++FiR03+9cJVzzwGhAehb49LyGmREAVAkpf4VWlMRJCBHRIwJuULHwkmo9Mt5e5PE8Sd7TYSBLPX+VtDq3WbPCGTWty+DXmCAVidI07xgMHDuRNu/3kDpe/Y/KkjQfCfml73u77I7O+tzp4Ki+faT7MhJSFT+PxC9thvvgD/rXjXZT1TcR9t1yBS12lXtoPw8ZOxT2/7ex6pY3Hp1GUeSdGP1smIycBi/bvweqk3oCtAjljkjCj0OJS9j5srHwd6bSeogsXbR+ePn1aVJB+TWm7n0i7wBPgb+2ylCxKHSieQDjw2npuUU1Hi0+1qZ2uhjlCgRhd80zLXsKbWDmlMj2VY/azND20+U5A3uFCGC6JnoBnXpsANH6JF274AJXD/xsvvXI3+vjenpc1eyNpdSmE1S7VrCXIHvsg3r3rr3iCOVtss5pRWT6SnCsXVP48ZBngeQyG2u3wX+RqBdOqrR/JIwJ6IsCCo5U6Z4Gwy19vBvKRn0DY0N5tHDx4EAMGDMDnn3/usyreJBBljn5ubi709kxmMXmvv/66cyTVZ1gqVJSfUpQKN5jw++V5yHvod+gmPS/uC7jwzT/wxvq/o+xsIILmz6HslaewEI8ge/Ywx+LVNtSV7kMeYjAwkt6UbNFFfjrBHuB8akDtJvgQvtJgWrXbJ3lEIJgIsJQQLLO6VjZphndf3jLjI1lq2eMpZkqtdtSUc8stt6CtI13eJBBljKZOnapqQlU1ecjJYjF5WhmZU+Zw8aD5V7/A2RZWXcSpkk2YPDsQQfM2WMteQ8bCE1j0xBQkhHP1G3CiphqW+BhEOc+1UJRO6IiA1obwdYSOVCUCzQi0VzwkW/BeycaD1L3JGSU3ksXP85EbJe2zMp5iplzl8Hb8NcLv2h4dB5aAv0ZgucfS0hotBs3bjqHwrzmoTF+CeYmOqURRcytqK4/CGHkM+dMdgf5h8UjLzkeZpaGlbXRG8wRYMC2PVdG8sqQgEdAwAZ4rL9DxkEodLo7ONWcUH+Xm15V88hEfNnLD7VZSz9syvJ2lS5d6W1W2PAtK99cfetlGFVxQ4wUEPpKmoDlFRVhMIn/ZQlEFQHHON1/W2FSqg3wMlyaC5pubYavej/U5nTFl/23oJ3UVbadRc/gc4hJuRtryP+PxXFavDlX5qzDrwW+RvXu+ZDSsuUw60h4B/os8MjJSe8qRRkRAZwTUTi6qtvlyeZ3aOsrN40DlYtfk2vXFPj7i5UtdXocFpaud/4vbyJ6p3Enk7Xn65D941XgBgd2Dar9F6OvLFu0ZpiLvcGkiaF56S1xA9cE9KEx8CCuH95JeAAyDkF5QjfRmZyMQe/vtGD5nMpa8PQbvpw9ymwODpbiQ23bt2iV3KSTPu/L48ccfceDAAYwcOVJVHizhKdvYA9O1TVUb0qiwULS5PbpCr5x5rqaioiJFL63w+JW9e/cGBPMdd9wBaVueOJeXl+OHH35wxtnw8tXV1aK+/Jgd8HOt2T5ixAhs377d6WBI60sBcI7snFQe5yWtx9uVnpPKYoHrbQlel9rG9v/5z38q6lupDu504za+88474FO30jrubOXXed233npLPPX1118rfh5zuVu3bkWnTp2c/eZOR96eks/XXnsNN910UzN5vC3WR+7k8+v8010Zadu8HLsn2Ca9N6TlfNmXjhPJ1+9wHeZ9Xo/6gL6h6KKOrQYHt3yO5CljMFRpnFa4CXHxQHmlGVYXcXTYdgIspw77Eqq9nThxQhTp7gGhdlskjwjojUDnzvb0O+wHj5KtsrISzAkK1NbeAejsufHTTz8Fyly/tMOclEBsSu6NCxcuiKp0795dsUrs7Um28fQ+iiu2oSBvsw0i/F5VdoSrsWoLHl1RjAEzn0LGzWex5dFn8F6dTV4hw1DMXDMXt/bsIF+mDVds1R9jS2EPDMns7XakylfRgiC0qMpHvcaNG9fiWiie4L8IXHlcvHhRxOF6vq2M2OvOLOWE2nLbqpe/68tx9ne7oSY/GDinp6fjqquuUvQdYd8ntgXq+8Tb4/eVp3YnTZoE9uPN9XnC5Ujr83NJSUmyaS7Y9FVJSYkzUam0PteJffJ1BNm+VB5bcmjVqlW4/vrrnaNky5cvF9/Qk5Mld17anqd9bhsr54281u5nbqPUPqkevE137fG6POGpnAypPL7P6/I6rbXD6yj5ZLowXaXy+H1z6623uuXGr3M73NkqbZuXZ7qzjdvAOUvLersv63Dh/El89Hoxfr3vVwDncfKjrXj9i1bGicK7475nvW1eaXnHdKIxGZnDXKYTAdiqcjAm7q8YwpOgcrFibi4TpmReiwh+jj41QaC1mILi4mJMmDBBE3qSEkRA7wRYXBDLn6S1jf0BZHFLPPs8T/XA/ljLxV0pSSHBgu9ZMDtLYaB0k+aW4i8XSIPu2TTT448/rlQclSMCbgnITil2uG4ePheO4JW7TYBjSpGNBsn+q38Bd/fxz+gWYH8LETJpHwyxqViZFYm83HdRYeWjcHWo2PoGto1xfaPRLQc6GUACH330kZg87/Dhwy1aZYvssodbIJesaKEEnSACQUagvaf53OFkztazzzb9SlcSeK4kzIA7buxNNqVbewZSK9WRyvlGgN/7PCbNNynq1JJ1uNyLt+HCue9hsVha/jtxDhdazs65F6P62R5IWLABu8efwjOxHRxrPd6H1/AQ3nt+QvM3GlVvmwR6S+Cxxx4Tq/BhYWn9I0eOiIf8DRnpNdonAkTAOwL8jV/+tpp3tfVZmo+Cqf3Gnz5pkNY8xxp767W9N/kpxWaaNcJa9Q6ef3IFVm35TCYAfRa2mV9EqlGhyGbyPR04lvhprZjBiITUDOSyf62Vo2uqEeBOUWtTAK6NsbL8LRB3X4AvvvhCrCI3peAqj46JABGQJ8Cnxfg0mXzJ4LnCpyiDxyKyJFgIKPOObEexPfNRLNtxCRLvn4tbE65ARItsCgNxZTcvB8yChSLZoZgAzwm0bt06zJ07t9mUAhOyb98+rFixQrE8KkgEiIA8gVOnTslfbKcrLB+Tv0efWFJM6fJB7WSqT82yF4YCtbEfwMOHDw9UcyHfjjKH62Q59u2ogfHRPdi2JgW9WjhbIc+RACgkwOIq2APFXSxGYWEh2JpvaifIU6gaFSMCQUfg5MmTok1aHDHmI+Su0PmonOt5b459TYrpTRv+KhvIvmLPW29eLvCXzaEiV9mQ1GU9EGkEOnbris7kbIXKveEXO9kbiLfffjt4YCv7hcW3ZcuWiaNbbFFW2ogAEZAnwH606H0dPx7MzK3kjgbPEM+eFTwei5ehT+8I8Lcv+cyCd7X1Vdr1fvJVe/63yR/MlDlcETdi1tqH0eX/tiD/X2dgz77kqzlUL1QJ8DcQ2eiW6xtJPLbrD3/4Q6jiIbuJgGICzDk5d+6cx/LMKQvkFBVTiC1CrcbGYj3djYSrIVsqw9cRdW/X8pO26W6freGn9hasb1+yKWnXEVIeHC/HUOk6la5/m+Tk+XJemcOFrvjtmDT8ceAuTB18OS4JC3O8CSj57DYP75xq9EUHqhMiBHiQvPSLwqcP+Kc/b/YQwUxmEgEnAeaU8ZEj50k/77CULjzJpL+a4iM3cvLVcvqYfD4Kz0c+eJt6nrbkNuj5k49o8U9PtrCYPl+da0+ylV5XFsMlHMO7jz+ChXuPAeEJuGvC73C5q6tmiEZ3ZdKU6kblNE6gd+/eooYsMFfJQ51PFbCHJf/lxc4NGTJEXDeRCVMiR+NYSD0iENIExowZIyY0dZf2RS0w/PkhJ88fefyC7cegp5Qh3Kn1Jp+ZXH/487ynkS1/tu2tbGUu0ukv8U5eGXpOewOfvfwAruzi6m152yyVDwYC/PVrHpjrySY2vcF++Xp6WHqSQ9eJABFQRqA9ssyz77e/vuNslEmt0TO5H3fcsVL6Q1JZT2ivFJ9VkEsZwvuQj/BxLtqzRD8aKfOcOndF925A95hoRJGzpZ/e1Zim33zzjfjLV2NqkTpEIKgJKJ1yCTQE1yk6Je2z0fAPPvhASVGfy0RFRYl1lf6QVDuWy2fF/VSRvcnINs7Fl2bcxVz5IseXOnwmxpe6atdR5nBFDMeM1bNwyc7d2PfdT2i3hPJqW0/yAkqAzaFL47dYMC8frmafwf7gCihsaizkCZw/f17TDHwdMeEjL1oxTu1YLn8Ez2uBVXs5/nwmRgsMlE0pNprxxacWRBxZj7t/VyATwzUUM9fMxa091VxP8TSKMu/E6GfLZFglYBFfsNpmQVnec8iY9iyKxdLJWLRxLiaNSUaCsZNMfTodKAI8XiAyMtLZpOuQvtoPLmdDtEMEQpDAsWPHRKt9GUnSOy7pDztPtqgZYO+pLS1d51OKWtLJF13YCBb78a6lkSw5O5Q5XDiPkx8XoczKxJTh3c1uHKDw7rivaR1Sufa8PO9Y0me1SzVrCbLHPoh37/ornkhigdsNOL5jBcZuugzPlJqxP8EIWD7C84/PxtjKrqhYnYQIFxF0GFgC/MutpwDHwBKi1oiAfwj4OpLkH220J9UfAfbas7KlRvwlJtcfvi1LavsMG8HasWOH6kryxa7V/P4om1LscB3mfV4PQRDk/9W/gLv7qDm6JcfvHMpeeQoL8QiyZw9DOCtmO4qC9XsQP2U6piQYwYwyGG/B/KWPIT5vH0rrbHLC6HyACPAkcvzNlwA1S80QASJABEKegNUqjpbomgMLOQlksl+exqgtsWuuwJU5XGItGy5YvsJH/z4NAQIuWj7AC9NvQbduw/HAip2osgYiB5cN1rLXkLHwBBY9MQUJ4Q71rWZUlvfAkIG9RWeLG2mIHIghKERB6Rl+ij7biQD/tSCNv2BZpFk2adqIABFQn4Bef+Qw50Ct+DM18i7x9SjVHOlQv7flJTIG/F6QL6X9KyzkREmyXy1botDhasTZQ/+LP097LswAACAASURBVMTGY+zfynBWOIZdS2dj/qZTGPb7S1G6bDLGLy/GGX9H09uOofCvOahMX4J5ifYcUAyu7UQNDlvkMJtxuOY0aIxLjk/bzitdYoT9WnB9+LEs0iybNNva8y2WthGg2kRA2wSkP3K0pKm70W7uHLQ1/kxpPM8XX3wBljestY2/rajmSIe79kIx1s4dh/Y+x+8dfwwGKHO4bF9j+/+sxQHjTDwzeQgu+3of1r9WAYx/Ajm7d2Lz8mGoeGkrik/4d9EfW/V+rM/pjCkP3YZ+Ts1tsNZWo7y9eylE22fz/0p+dbCb11Nwanu9xRKiXUdm65gA+y7x/Eh6NUOJI+jrqJLSN9NYmgklegSCsa+2+qobz4voa/32qufL6Kc3udv4vcMHA9S0U1nQ/A/VKPnYgoGPz8C0YT1gzitCIXpi5J1DcUVYOLpcHQdYK3DUfAEwilFVaurokHUB1Qf3oDDxIawc3ks1+WFh8qtx79q1S7V2gkGQOx7V1dWiae6uSW1mN+/o0aMhLcdvaH6OHXfsqOyWlMoOtn3OI9js0po9euZcX18Plh+pNRu2b9+Oq666qtUygegTVx1be2bwa0VFRaJq7LMtcTtMnmv7Sm3mzyPX5xSvz3VtSxtcFvvkYRdff/21TzrL2cn1dL1eWloq5tZyPS/VSbqvtByrw+5Ptr311lsYOnSouM95igc+/MftyM3NFWt///33ijmx0UnWvi995Y3dnsxyjhO1WvBiA847Y+7OoarsKwDX4c4hUeiAi6g/x2KkuqBTR3nnpVX5Si7aanBwy+dInjIGQ3nslljPgPCoGMQrkUFlAkKAf9l4Y/xB4mmEi5enTyJABNpO4KeffmqW967tEtWRMGDAAHUEtbOUuLg4v2jQvXt3v8j1ReiIESN8qYZu3bqJ9S5cuOBTfX9Vuuyyy/wlWpFcZcMJv4nFTSN74vWdO7Bj+AC89/qXwOCVGH3tpThX9S42vrIPGDQfQ397qaJGfSlkq/4YWwp7YEhm88B4JksMjjfKSTW1CKaXlmRvXrpufNRr3LhxrpdC8ph7+O548PXS+DU2zcEeRCw2gg3Xs41Pfdxzzz3N1kq8/PLLsWrVKlx//fViOTbsy+WEIujWOIciD3/ZHAycL160h2+09n1x/W76i6ecXDnOTPfnnnvO7Xed65yUlCSKZZ++pi1gz5OYmBi37cjpLD1/9dVXi3XlWPPzbWlD2h5/TnprsxxnLpszdb1X5M7zeuyTlfn000/FU671peXk9qXPdOm+XPnWznN9fbk3eF32N8hbO3h5zrk1HT1dUzbC1WEQ7l2RgVFHVuOB5D/h9bNDMX3ZRCR0rsDrD6Th2SM34skXZ+CmCGXiPCnV8rpjOtGYjJRhbqYTw02Iiz/XIjjeHkwfjbgof01zttQ01M/wt2H4Dc548HOuQbJ8DS+eoyvU2ZH9RCAUCLDg8ECsKpGYmOgzTh6877MAHyryGC7+6YMIqqJxAgo9pI7oc9tC5H/5CfZsfwdFX76Lv066Cpd0GIDEp/LwQdlmPDE6CsqGy3whYkVt5VEgPgZRzaYTHbIM0UiZdSfKl2VhU0WdeNLGEp+uWIvyRbMxMbaLL41SHR8I8KV6eA4TqQi54NSamhqxGL2lI6VF+0SgbQS0+uYvG/nesGFD24wLwtoszuiHH35o05qF3mDR6v3hjQ16K+uFj3QJekSPQEq01MQeuPbuCdIT7bTfCf2S52Hz8o14+urumCFqMRhTs/6C3Q+NpCzz7dArfHicNe1pnUSelI9+2bVDR1GTQU0glN/89WZ5H63cBPwNuUDpo/T+cE3pEyj9gq0dLxwuARetJ3D0P2bUu83+EIEB18Wgt18C5x1L/LRGPzwWSemrxX+tFaNr/iXAfjWxja8wz1ujdRI5CfokAkQgEASmTp2qSjPsLUmWb5A2/RLQygtbCh2uRlj/tRlz75mDTV87X1d0oT8L28wvItWoUKRLbToMHgIsOJK9gnvmzBmwX2zMCeOv8gaPlWQJESACoUCA5RlsLXD/xhtvDAUMPtvI/g6wTeloms8NtVJRK+tlKvOOGsqR88fHsMlyLaY+PQ1/uOZyXOJqnOE3GNozEGspujZMx1ohwKcR58yZg7S0NJw+fVp0uJh+7r5sfAqRp43Qih2kBxHQOwH+XdRjXOTZs2eh9+V0tH7/BNIJYn8H2DZw4ECtY/G7fsocrh+OouzjszA++iTWLk1BLz+m2/K7xdSAqgTYeoivv/56M5lS56q2tla81rdv32Zl2AFfKsNdgH2LwnSCCBABrwnwHzVeV2ynCmy06N5773Uut8OfEe2kTtA2S05Q613LZ2laL+X9VWVvKV7WA5FGoGO3ruhMzpb3lIO4hnQ9RP624fDhw0WLWToInvKBp4Bwh4LHfbU2bO+uHp0jAkSACBCB1gmwH8X+WBew9Vb1fZWnFFH7ZQFlDlfEcEx98n6c/ftO7P3uJ7RMFapvuKS9OgT424bSX6U0NaAOW5JCBIgAEfCFgPRHsS/1tVRH79PNyqYUG834qux79K3YgnsGvImEu0bhd5e7VDUMxcw1c3ErxXFp6f4MqC4sFosNxbKNfUpjs6ROmFQplgDx1VdflZ6ifSJABIgAESACzQiwNB8sNnjMmDHiebm/Kc0qaezAxWuS0+48TpZ9hv+Ily0oe/dNlLkWDe+O+551PUnHoUSAxWLxoVj2yY7Zr6vWNkoX0RodukYEiIBWCUhjVbWqo5xecqt/uJbX0huYbeHdlrquTNpyrMzh6nAd5n1ej3ltaYnqhiQBT0lPeXJCtefKQxI2GU0EHAR4PGXv3r2JiZ8IBMNbd3Krf/gJWbuJ5X3l7uWtQCqlzOESNWKJT4+jqvIkzrtoKPx8EpWHz+LKyQ/gRppSdKETOofSfFv87UU20tXaKNaVV14pAtJKYrrQ6S2yNJgJ8HjKQGcuDyamLF6IbdLnWjDZF4q2tPbyViB4KHS4GnH2k3WYNvkJ7PqPTOLT8LnY/cADgdCZ2tAwAT50ywM1+RSjnMrXX3891q1bhwkTtLBElJyWdJ4IEIFQIsDTU/A1H/lzLZQYkK3qE1D2lqLta2z/87PYdfJaTF22DLMS+wPhozDrqSWYNeoqAInI3LoQd/bxV+LTBljK8pA5yoSwsDCEhaUgM7cEFpsEiK0COSn8OivD/01CTtUFSUHa9QcBuUR67HVkNtolt7EhbZYoVY8BkHI20XkiQASIgFYIcGeRP6OZXtIXnLSiZyjooczh+qEaJR9b0HPyYmQ9tQyZ6bcB1t4Yfv8TeHnXW3hh3DHk7zyMU37JF9GA4/kLcOsLNkzfXQtBaER95Sxg04OYtqkCTp/LakZl+UhsrDwPQRAk/95GemyXUOjLdrXRNZEenytnS/x4CpxvV8WpcSJABIhAEBPg8Uv8Gc1Mlb7gpMR0HmurpKwWy7BYRvbmfHsnAlbmcF1swHkr0OtKI3qFdcJvBsagP46istaKsPDBuHvijfj65S3YV/OL+qzrDuKFOZ/g3rS7MCicqWtAeOwELH1iEsqXvY7iOuZy2VBXug95iMHAyE7q60ASvSbQ3nPlXitMFYgAEWh3Anw05v3336cFo9u9N5oU4P3SdEZfeyyWsaSkpN1nUpQ5XBF9MKA/cOY/FpwRwnBp3ytwNb5H5fFzEGBAx07MyTmOk2d+VbkXuCOVjJRhvSSyDYhIWgmzeSWSIpgJDThRUw1LfAyiRKdMUpR2A0JA6WvGAVGGGiECIU5Ar1NGfDSG5eajlSf0fRO75mLUtzXqaK/M4brsGtwxbSTObn4GmS9+hB/6XY3bBp/F/i1v451D+7B9+0EgPBr9+6g9usQdqd+iu7kYOZkp9tgsUxqy91ahKXzfitrKozBGHkP+9HhH/FY80rLzUWZpUIcUSVFEgL9m3L9/f0XlqRARIALqE/B2ykh9DUJHIg+fCB2LlVnKczEqK62tUv7KP6bwLcXLMXLuM8iumoOMdyqx+JGHkP5cJvZPWIpx7zJQ/TFqxXQk91fb4bI7UrC+iYz5iXhi024IqzsB1q+Q88gszK/fhA2pA2CwnUbN4XOIS7gZacv/jMdzmU51qMpfhVkPfovs3fORIDPyxYLr5bZdu3bJXQrJ8+54sBgttn344Yfip7sy5eXl6NhR4a0WkmSbG+2OYfMSdKQGAT1z5t87ORuqq6tFRHLX1eCnVIY3OkhXp2A2eFNXqT5KyrnyZceuzzCuK3u+/fDDD0rE+rWMHKv6+nqx3bfeegtDhw4V91mqiz/+8Y8e+XIO7uz3ZAy/B4uKisSi7LOiosJTNdnrUl1YITl7ZQV4cYG3pfY9qGyEC0BYn5H4783/wLFXJyDa0BnG0ZnI//IT7Nm+A3s++RC7Fo9ET3nfxQtT3RT9uA+mrMtEktHh0IVfg4lpN+H9OevtMVyGQUgvqMaBlXfA6LQoArG3347hlVlY8nZVU3C9G/F0qu0Evv32W9xzzz3NBI0YMUI8pl+AzbDQAREgAjohwJ0VnajrVs1u3bqJ5y9caP62fqBytLG/DWxTKwkve9vyqqtYdgT9bcqGHWxf443/WomKpPn47weHwF7pEvSIHoGU6AAYbXQNhjcgPCoG8ZY9qDnRAETIvIUYbkJcPJBXaYYVgxDhRlX2RqPrxke9xo0b53opJI/5Lwl3PC5evCgyiYmJET+lZVhc16effoq777673YMV9dBxrXHWg/560TEYOPPvnfT7JuV/8OBB8VDuurSsv/Z94VxVVeVUhz1T2kt/zpevDTt9+vQWMWXnz58HK8fW9+OhFE7lA7ijlDOzRcrT9didypdffjlWrVolvuEnreuurOs5fg9yhhMnTnQt4tUx75Pu3buLeRu91cebxnhbLD8kb4dz9kaOa1nneJDrhWbHJ8tRmLMJm2su4FJ/jWI1a5Af9MKwlGQY+SF9apaAu3xbs2fPxhdffEHOlmZ7jRTTKwH+1pg0t5JebdGr3jyHYHs6W/5mF+pvm/PvmVqclTlcvePxh+lDcbrkM3xx6gJajgmppY6rHAPC44ZhDApRUHpGctEGa201yhNvwnWmTrBV5SAlbBgyi05LygAQc3OZMCXlWrejW80L01FbCLA5b9d8W2zIesiQIW0RS3WJABFwQ4C/zSfNreSmGJ0iAiKBmTNngq1ryzY2MqfnjS+5pEcblDlcHTqj94BYGHfNw02/icYNdz8kDqOyoVTnv+nP4cOzjaozMPRLwp8WROLZp/NQZrWnObVZDmFj7iGMmZuKoeEGGGJTsTIrEnm576LCUYYFzVdsfQPbxizBvERawFX1jnEIlP4CiI4OxPyyvywhuUQgeAiwoGi9J6sMnt5of0uk69keO3ZMVEhv9wfXl6UM0esmH8N10YrTp35Gx5690eOSs/jXznfxtWilBWXvvokyV4vDu+O+Z11PqnHcAwkZb6Lyuo1YEdsBr1sAGKciK3c9nr9jAOweYw8kLNiA3TvewDO8DJKxaGMm3ns+Ef2UuZVqKBtyMvgvbWZ4e2fxDTn4ZDARaIWA9MdQK8XoUggQ6NGjh5j4MwRM1bSJsg7XxS9fwY3DXsEt2w4gN/U6zPu8HvPazZQIxN7xGHLNj0HM+OBOD4MRCakZyGX/3F2nc34nQIkK/Y6YGiACRIAIeE1g0KBBWLp0qdf1qIK6BGjsR12eISeNJThlb6Hk5pKbG3KdTwYTAZUJSEfJ+RSSyk2EpDg+2kkvWbRv98uOcLWvWtS6XgiwN3T27NmDQOV00QsX0pMIEAHvCURFRTkrcSfBeSKAOzwelS9ZFsCm/dIUD/1gL1nU1NSIbXiTF4tyKarTLR4crkacP/c9LBYPxZguYZeiZ98e6BLQtBHqQCApbSNAzlbb+FFtIkAEtEWAj7TxzOjeOCfassSuDdefOVtWq31RPG+e26GWHoI73Gr3pQdPqgZ/nzEMf1fU6ixsM7+IVKMHkYpkUSEiQASIABHwhQCfNmrPESJf9NZinXPnzolqeeOcaNEOrj93tpTqyB1PpeWDpZy/7PbgHYXjysQU3HLFZZ45GgahDw1veeZEJYgAESACfiTAc3PxaSQ/NkWig5wAm+KtrKxskWU/yM32m3keHK6+uGXuWuSm9vebAiSYCBABIkAEiAAR8C8B9nITmyKVxskpaVGLb59fccUVSlTXXBkPDpfm9CWFiAARIAJEgAgQAS8JJCYmgk2Rsn8LFy70sra2iruuaqIt7eS1obQQ8mzoChEgAkSACBABIkAEVCEg63CFdeuPMVPvQHyfLqo0REKIABEgAkSACBCB9iNQVVUV8MbZNOb48eMD3q4aDaqdDkPW4eoQez/W5b6MjFv7qKF3G2U0wFKWh8xRJoSFhSEsLAWZuSWw2JdWtMu2WVCWm4lR4nVHmZx3UGZpaGPbVJ0IEAEioB8CP//8s36UJU0DRuDGG2/Ezp07A9Yeb4hNYWoxDozr19qn2ukwZB2u1pQI7LUGHM9fgFtfsGH67loIQiPqK2cBmx7EtE0VsPtcDTi+YwXGbgKmlZrRKAhoND+JyA8WY+xzB1EXWIWpNSJABIhAuxE4evSo2DZbBYI2IuBKoLi4GIEIOmcrBbBF1GlrIqB9h6vuIF6Y8wnuTbsLg8KZugaEx07A0icmoXzZ6yiuswG2oyhYvwfxU6ZjSoJRXNDaYLwF85c+hvi8fShlZWgjAkSACIQQAbYKhB439jYd27SwtA9zGGbOnKlHjLI6f/bZZwhE0LnaeeCC4QeExh0uG+pK9yEPyUgZ1ktyAxkQkbQSZvNKJEUYAKsZleU9MGRgb9HZ4gUNkQMxBIUoKD3DT9EnESACRIAIaJgAe5tOS1vPnj21pI7PumjBgfVZeQB6/QEhtVnjDlcDTtRUwxL/W3Q3FyMnM8Uew2VKQ/beKtgXKABsJ2pw2CI1S7pvxuGa046pR+l52icCRIAIEAEiQASIQGAI+J6HS7iAcyfP4nzHbujTOxy+C2rNUCtqK48C1jeRMT8RT2zaDWF1J8D6FXIemYX59ZuwIbU/rLXVKAcwpDVRMtdYEL7ctmvXLrlLIXmeeASm24kzcfZEwGw2i0WKiorEZJbS8mzKiG1auY+81aO6ulrWNqmd/tznfFkbTB9vbfCnbnKyPekotYndIx07+uevNteP34e8Pz3px+sp+fS3/pyVu++XEv3kyvgwwvULLP9Yh+kjotHTaIKpjxGD7l6Kt//9IwS5Vtp6/uM+mLIuE0nGTnZJ4ddgYtpNeH/OensMV1vlU30iQASIgI4IdOvWTdT25MmTOtKaVG1PAnwBa6ZDZGRke6oSsm176eIK+LXqDTw84T3EPZeLQ7/rhUt+PYeag5ux+N5s9P7of5DUq4P6MI0xGBjpcLZE6QaER8Ug3rIHNScuIpHto9CndgWhpZvIR73GjRvnk8xgq8R/mRAP//YscfYvXy49WDhPnjwZ8fHxcP1efvXVV2LeI9fz3P5AffrK+eDBg6KKSUlJ7ZZOgC0A/vDDD4t6xMTEtGAcKIZK2vGF85gxY/zO9uLFi05+bEfN+5G9WKGmPFfOPF+Z9B7knF3LenMs43DZYP3nAXzcZSiSYntJpgsbcfqrEuwc+18wT70DRkdLCcN64JtXMvD5N+eR1Cvcm/Y9lO2FYSnJMOa1XkwMjufKtChqahFM36IInSACRIAIBAkBPec90koX9OolfUlLK1qRHpxAdHQ039XVp8yUooDz3+3EvXG3YELmJhw89pNjurADLo8biuTdG/Bcznv4sLQMZaX/wO7nXsTfDMMRf4XaWekNCI8bhjEt3jS02eO2Em/CdaZOQLgJcfHnWgTH24PpoxEXpaYTqKv+JWWJABEgAkSACIgE9Jrx3bX7unbt6npKF8cyDlcH9LlrFapK/4KEitW49ZpkpGfvwJenGtDpmv+Hl9+6E9+/MhO33TAMw264C48Vm7B8xxIk95EZMGsDCkO/JPxpQSSefToPZVZ7Pi2b5RA25h7CmLmpGMpycxmikTLrTpQvy8KmCnuaU5vlIzy/Yi3KF83GxFi1HcE2GERViQARIAJEgAi0AwGe8V2vDks7IFO1SRmHC0BYVxgTJuEv2z5C5Y7J6Pz2nzDkpvuR+VopLo74E1779CjOWswwn7Kg4p0VmHRNd8i/79cWnXsgIeNNVC4BXojtIKaF6JDwNzROXo/nUwc48m51Qr/kedi8vDfyru5uL2OajcPxf8HuR0cioi3NU10iQASIABEIWQJsSZxg26KiooLNJF3YI+9wcfU79kLs6Ifx8j8+Q+mzI/DtqvFISJ6N7O3/wvkefWH0W0oIrgD7jEDsHY8h1yyABbkL5lxk3BGLZhOF4bFISl+NA+y6+K8cuRmpSOBvNkrF0T4RIAJEgAhomoD0rTpNK6oj5Xr06KEjbdtPVZbVft26dVA7u71nh4vl2zphwQlrd1yX+jg2l5Rh5+w+KF50B26duAQ5RVU4d7Hlm37th4paJgJEgAiELoGzZ8/q2ni+zh8FrqvfjYMGDQJfOkl96cEjkWW1nzNnjurZ7VtxuNzl21qGfHNfjEpfia0f7sWziafwyvgEDJ+8Cvllx3GB/K7guePIEiJABHRJ4NVXX4Wep8ECsc6fLjtWBaVZOoj8/HwVJCkXofcfAMot9VxSxuFqyrf1mzm5OFRaitJDO7A60Yxl92bjwBkBXYwJSM14BYVlO/H4gE+xaNhM/O2fP3lukUoQASJABIgAESACASfARm4CHb+l9x8AanaSzGuFSvNtXYIesUlIX30Lxj54CEcvlxGnpsYkiwgQASJABIgAEQg5AgsXLkRWVpZu7ZbxkKT5trrg7mv7oit+grn4NTHf1roW+bY6o891ieijWwykOBEgAkRAfwSsVqv+lCaNiUCIEpBxuMIc+bYu4OknZuK2zywAwnHlXfOwcsciv+TbClH+ZDYRIAJEwCcC7Nc+W8Yn2DaWRXzmzJnBZhbZQwQkq/a4wgiLQHTKfLyWPAtrT57F+Y7d0CcgKSBcFaFjIkAEiAARCBUCQ4YMwYYNGzRjbt++fTWji54UCQ9vlrhJT6r7TVeZES5Je2Fd0CPSCMreIWFCu0SACBABDRKora0VtSInQb3O6dOHgmV8oTlw4EBfqimqo3Z+LEWNqlBI5i1FFSSTCCJABIgAEQgogZ9//llsj5yEgGKnxgJMgL1tqcdNFw6XrSoHKWFh4pI9YdLPlBxU2ZdXBGwVyEkxtSwTNgk5VRf02DekMxEgAkSACBABIhAkBHTgcNlgra1GefJGVDbyZXscnwXpiOUWWM2oLB+JjZXnHUv78LJvI50Wrw6S25XMIAJEgAgEhgB7KYE2IqAmAe6uqClTZVlnUFpQCAwZiEhZbW2oK92HPMRgYGQnldsncUSACBABIkAEiAARaBsBWRembWJVrG07jZrD5xAfZ2q+WHWzJhpwoqYalvgYRIVr36RmqtMBESACRIAIEAEiEPQEtO+diFOFlyLy+y2YbnLEcZnSkJ1fBguP34IVtZVHYYw8hvzp8Y44rnikZeejzNIQ9J1IBhIBIkAEGIFTp06JILp27UpAiAAR0BgBz2kh2llh24kaHLaYkDB8Jpab/4xcpo+1AvlPZ+DBo09id8ZwhDtGweISbkba8j/jcbFQHaryV2HWg98ie/d8JMiMfLEgfLlt165dcpdC8jzxCEy3E2firIRAdXW1WEx6vxw6dEg89/nnn4P908Im1U8L+ijVgfMtKipCRUWF0mrtVk5rnM1ms5PFZ599ho4d2+5u8D7Rmq1OQz3saH6EyxCbjgKhACuT+sGpbHgsbk+5FpULs/E2ewPRMAjpBdU4sPIOGJ2FIhB7++0YXpmFJW9XwTkY5gEIXSYCRIAIEAEiwAn07t2b79InEWgTgba7nG1q3tfKBoRHxSAehaistQJybyGGmxAXD+RVmmHFIES4aU4QhBZn+ajXuHHjWlwLxRP81wTx8G/vE2f/8uXSg4UzW9anpKQE0u/lxYsXRTOl57jdgf7UO+eDBw+KyCZOnBhodF61p1XOVVVVTjtuuOGGZvep84KXO+fOncP27dtVkeVl0+Ccva0nLe8cD5KepH0iQASIABHQNoFBgwZh586d2laStCMCANj6mGpsbLkg5rzpddO4w3UBVTmTEGZagqI66aSgIzeXMRkpw3rBnhh1GDKLTjfvBzHg3oQpKde6Hd1qXpiOiAARIAJEgAgQAbUJqPUSx5gxY7Bnzx611QuYPI07XF0QOykDWXGFyN36b1g5Fuu/sTX3EMa8OAuJEQYYYlOxMisSebnvosLKHbM6VGx9A9vGLMG8RJqD5+jokwgQASJABIiAHgmwJX169eqlR9VFnTXucAEIH44Fb67H+DNZiOXL+ozNA9LW4/nUAY5A+h5IWLABu8efwjOxHRxpIe7Da3gI7z0/Af20b6VubyBSnAgQAe0Q+OSTTzBz5kztKESaEAEi4CSgi6B5gzEBqRm54j+n5q47BiMSUjOQy/65XqNjIkAEiECIEOjZs2eIWEpmEgF9EaCxH331F2lLBIgAESACRIAI6JAAOVw67DRSmQgQASJABIgAEdAXAV1MKeoLKWlLBIgAESACeicwfvx4DB48WO9mkP4aIkAOl4Y6g1QhAkSACBABbRC45ZZbwP7R5huB/v37+1YxiGvRlGIQdy6ZRgSIQGgRyMrKolGZ0OpyzVrLUjjQ1pwAOVzNedARESACREDXBFg2btqIABHQHgFyuLTXJ6QRESACRMAjgb59+4plamtrPZalAkSACLQ/AXK42r8PSAMiQASIgNcE+vTpI9b5+eefva5LFYgAEQg8AXK4As+cWiQCRIAIqE7g/PnzqsskgUSACKhHQBcOl31x6jDHkj2Sz5QcVPGlE20WlOVmYhRf/icsBZk576DM0qAeLZJEBIgAEdAogWPHjomaRUdHa1RDpbv5/QAAIABJREFUUosIhDYBHThcNlhrq1GevBGVjQIEQfKvIB2xogUNOL5jBcZuAqaVmtEoCGg0P4nIDxZj7HMHURfafUzWEwEiEEIEunbtGkLWkql6IED3pL2XdOBwnUFpQSEwZCAi5bS1HUXB+j2InzIdUxKM4oLWBuMtmL/0McTn7UNpHR8G08OtSToSASJABIgAEQgeAlFRUcFjTBsskXNh2iBS5aq206g5fA7xcSbIvuxsNaOyvAeGDOwtOltcA0PkQAxBIQpKz/BT9EkEiAARIAJEgAgQgYAT0L7DJTpTlyLy+y2YbnLEb5nSkJ1fBotj4Mp2ogaHLXLszDhccxo0xiXHh84TASIQDARqampEM3r37h0M5pANRCDoCGh+aR+7M2VCwvCZWG7+M3JZF1grkP90Bh48+iR2ZwyDjcV4ARjiQ/eEhYXJ1tq1a5fstVC8QDwC0+vEmTgrIWA2m8ViRUVFqKiowKFDh8TjgwcPKqkesDJ0PwcGtZY5a1m3wPSOvRXNj3AZYtNRIBRgZVK/punC8FjcnnItKhdm4+2qC4HkRW0RASJABDRF4JdfftGUPqQMESAC7glofoTLvdoGhEfFIB6FqKz92bnvvmzrZ9lbj64bH/UaN26c66WQPOa/ToiHf7ufOPuXL5ceLJxZ3q2HH34YbJFg9t28ePGiaKJWvqfBwpnfN1r91ANnrdyTbelDzrktMjQ/wqXEODE43ihX0tQimF6uJJ0nAkSACOiFgOviwJ988glmzpypF/VJTyIQcgQ07nBdQFXOJISZlqCoWWoHR24uYzJShvUCwk2Iiz/XIjjeHv8Vjbgo2fcbQ67DyWAiQASCl0DPnj2D1ziyjAjonIDGHa4uiJ2Ugay4QuRu/TesHLb139iaewhjXpyFxAgDYIhGyqw7Ub4sC5sq7GlObZaP8PyKtShfNBsTY7vwmvRJBIgAEQgaAuPHjxcD5oPGIDKECAQxAY07XADCh2PBm+sx/kwWYvmyPWPzgLT1eD51gCOQvhP6Jc/D5uW9kXd1d3EJoA6m2Tgc/xfsfnQkIoK4A8k0IkAEQpdAbGwszp07JwIoLi5Gjx49QhcGWU4ENE5A+w4XAIMxAakZuTDzZX0OrEZ6UmzzRKjhsUhKX40DvIxQjtyMVCQYO2m8C0g9IkAEiIDvBM6ePStW/uyzzzBo0CDfBVFNIqAygRtuuEFlifoWpwuHS9+ISXsiQASIgH8IDB48GK+++qp/hJNUItBGAomJiW2UEFzVyeEKrv4ka4gAEQghAuHh9heCamtrRav79u0bQtaTqURAXwTI4dJXf5G2RIAIEAEngejoaHG/pKRE/OzTp4/zGu0QASKgLQLkcGmrP0gbIkAEiIBiAl27dhXLsqV92MaPFQuggkSACASMADlcAUNNDREBIkAE1CXA3lJk29KlS8XPqKgodRsgaUSgjQQoGW8TQHK4mljQHhEgAkRAdwT4HzSWk4s2IqA1ApSMt6lHyOFqYkF7RIAIEAHdEbjuuutEnW+//Xbd6U4KE4FQIqDTxatDqYvIViJABIiAPIEZM2bAZDJhzJgx8oXoChEgAu1OgByudu8CUoAIEAEi4DsBtoh1amqq7wKoJhEgAgEhoL8pRdu3yJ8RD1NmEeyrJjo42SqQk2ISl/UJ40sAiZ+TkFN1ISAwqREiQASIABEgAkSACLgjoDOHqwHHd2RhTs5XLW2xmlFZPhIbK89DcC7vI0AQ3kY6LV7dkhedIQJEgAgQASLgRwJsJQRa37MJsI6mFG2wVryFJYu+QNzNRlQ22QDAhrrSfchDDDZH0tqJzdDQAREgAkSACBCBdiAwdepUnD9/vh1a1maT+hnhspbilYfXoeOqxXjQvpqFhGgDTtRUwxIfg6hw/ZgkMYB2iQARIAJEgAgEHQEWY0ibnYBOvJNzKHvlKayJXoKnJsSgQ4ves6K28iiMkceQPz3eEccVj7TsfJRZGlqUlp5oHu8VJtaVXqd9IkAEiAARIAJEgAi0lYAOphRtsJa9hox3R2P37gnoZ6hqabPtNGoOn0Ncws1IW/5nPJ7LitShKn8VZj34LbJ3z0eCDyNfzBmjjQgQASJABIgAESACO3fubBMEzY9w2Y7vwPyx+3FX9nR5p8kwCOkF1Tiw8g4YnRZFIPb22zG8MgtL3q6CTQZT8wB7FmQvyJSk00SACBABIkAEiAAR8I2Atke4bN9ix5MrcXTBX/F8Qg/vLQw3IS4eyKs0w4pBiFAoQQ2ni4+OtUVWMMlg6NWwh+R4vomJc+uMiA/xaZ1A61fp/gldPmz5rLb8TXeOB7WOsH2u2qr3Y31OGYoXjkA3nlurw9WYUWiB5dnR6B5GObbap2eoVSJABIgAESACRMAbApp2uAyx6ShollNLgNB4BBuTjTAu2o8fHTm2bFU5SAkbhsyi081tF3NzmTAl5VrFo1vNBdARESACRIAIEAEiQATaTkDTDpdS8wyxqViZFYm83HdRYeXRWnWo2PoGto1ZgnmJvZWKUq0cG3Zsy9AjU0QrMtSCooY9anHRohzi3DoBte6f1ltRflUtfYJVjnKSrZcMVj5q2dU6PeVX1dInWOUoJylfMigcLqAHEhZswO7xp/BMbAdHWoj78BoewnvPszcb5QHQFSJABIgAESACRIAI+JtAmMDcUdqIABEgAkSACBABIkAE/EaAxn78hpYEEwEiQASIABEgAkTAToAcLroTiAARIAJEgAgQASLgZwLkcPkZMIknAkSACBABIkAEiAA5XHQPEAEiQASIABEgAkTAzwTI4fIz4PYXX4eqvWuRZrIvzB1mSkP23ipYXRSzWUqQm5nieMMzDGGjMpGzswwWnmVDLN8AS1keMkeZHOVMGJW5ATvLLM2WTlImy0UBvR9aq1CUk4lRPEFvGFs8vQBVzjQlzMALqMqZ1MTYWdaElJyKJoY2C8pypbJSkJnzTouF2EOPsw3WqiLkSO9Tt/ezsvsUxFnBt46tZbsWo0xLUFTX7GGg8v2ssM8UaKzPIq1xVsZG2fNAmSx9MtS+1uRwab+P2qBhA47nL0HiylMYX/wjBKER9cXjcWrlHzA2u6TJ6WJLKC37EzZhMkrNv0AQfoF59RX44OFZeK64KZms7fg7WDZ2MzBtB8yNLAltGVZHHsTDY9ehmD+MFcpqg1Haq2r7Fvnz78XkD67AapGfgEbzKxhSnoHE+Ttw3Pl3yorayuNI3ngEjc0S+ppRkD4I9i9jA47vWIGxm4BppWaxXKP5SUR+sBhjnzuIOm59CHIW11VNnI8PIp+033/sPt0xHOVp92J+/rdOh1XRfQrizG8l+U8brBX/h6eXvIFit4XUu5+V9ZlbJYLgZOucFbFR+DxQJCsIiGrWBJYWgrYgJfDjfmGRMUFYtP+UxMDzQuXG+wQYFwv7f2wUzzdWbhSScZ+wsfJ8i3LGRfuFH8WzjnrJG4VKezV72cYjwsbkm51tKJMlaSYIdu02u3IWhBbn3faHCwCR55VC8sYjQjPMrI+87jMX2bo+bHnf2s1xPa/sPhWIc+t3Q6NZKN20WJiadUAodXleOCuqdj8r7DNnw0G045GzMjbKnrvKZAURXc2ZQiNcmnWFVVAsIgmrzaVYndRapn0brLXVKDfGYGBkJ0mjnRA5MAbI24dScfSK/Zo9CuOQgYiU3jWG3hg45BfkFfwTdVAqS9JMEOzal6CS42zG4ZrT4uiL7UQNDluiERcVLm+1uBxVDwwZ2Nsx4mUvaogciCEoREHpGSAkOXdBbPrbEMwrkRQhvQEdKC3VqDnRAEDJfcqKmVFZTpzd34gXULUpAxmVo7BqwY3o5r4Q1LufFfaZjB76Pa2EsxI2Sp+7SmTpl6YeNHfz5NKD2qSjbwQaYCnZiBXLjiD9xVlIFP9wNeBETTUscgL5HzLbadQcNsuVguVwDU7YFMqSlRKMF0bi/pEDYXA6SZfi+/xZMDnit0xp2ciXxMDZ/4jJceDOG3FuQSj5ToyM6QIouk/hcBZaSHGcCHXOnWAasxa7V94Bo+xfCP5HXoX7WWGfyfWWfs8r4KyIjcLngSJZ+qWpB81lv056UJ50VE7AvsB3Z5hGzMHeO2Zj1k1GxwiK/VePR0niiICsW+aorlCWx8aCoACLqVi9FuXpDyCFOQJwPBTjojE8bQPMYgxXI6qWRuPTjD9hTdm5ppErj+YTZ47Idvw9rGY/IGaNRgx7mim6Tx3OAhci+xmqnA0IN/4GrYzDqns/K+oz2U7S8QUFnBWxUXifKpKlY5w6UJ0cLh10khoq2qe9WKB7LTb324URCQuQf5xNwdCmPoE6VGx6CnOOTsTm5Xc71vJ0TIkd+DOSjHzq1oDw2NuQMvwYFi7JR5UzuF59jYJSovUrbFqyEkenrcHyCQOaTcEGpb2aMoruZ011BymjCwLkcOmim1RU0tAPSY9nYhHysb7gKGwIR1RctOcGwk2Iizd6KKdQlgcp+r5ch4qcx5C0DFj+8mMS50rOKgez8mrUWoHwqBjEyxV1nifOsH6FnEf+H5ZhLl5eMrpp6kvRfWogzs57Se0dH+5nRX2mtp46kaeIjcLngSJZOuGiUzXJ4dJpx7VdbQvKK82wwh4cL+tK8WB6MTjeJNusPZheoSxZKTq/YLOgZO1cu7NVtBbpgyK8NkgMjpftDJMjmD60OdssH2Gt6GxloOilKRgULnmMKbpPAeLs9a3pUwVFnBX2mU8K6L2SIjYKnweKZOkdmLb1lzyptK0oaec9AXvc1jBkFjXl0mqSkoApKdciAo5f+zw43lnAEXMUH4Mo8Q+a/VeUPTjeWcgRpHwO8XEmhCuWJakfJLs2y14sGZ2AEbv64cViN86WrQI5KSaYMouacmmJttvjL4xTbscw9hKD+Cv0nPPNRo6n+RthSvuM1w6WzwZYiv6C0ab7sCvyLyh2dbZEM5XcpyDObb0lVL2fFfZZW3XWZX0lbJQ+D5TI0iUk/SituUQVpJCKBM4KpVl3Ccapm4Qj9Y6sTo21wv7FyS7naoRt6YMl534RzJ++KEx1yeHVWLtNSDcOFqZuLBfqmZaNZuHTNVMFoyQ/lNCoTJaKRra/qPpPhaxEowDjI8K22l9k9GkU6kvXCInGdGHjEXtmM0FoFOqPbBKmXimt94tQu+0RwSgp12g+KKyZOlhoyonG2IcaZwc/QDCmbxNqpUnKXIgruk8F4uyCTebQkbtJ+h0XS6p7PyvrMxkVg+K0HGdBUMRG4fNAkayg4KlNI6BNtUgr1QiwxHrbsoSpRggA+5csLNq4X6jkDpjYUKNQX7lf2Lgo2VEGAoxThaxtpYK52R+2H4XK/RuFRcy5EGVBME7NEraVmiVJOpXKUs3CdhbkeFA6eHAu0s8mR+kXwVy6TciaOtjBzygkLtoo7K/kDpjDlPpKYf/GRUKiU+ZgYWrWNqHULHXmQoyzmKi06b6T8rXvSxPPKrlPBUEgzgq+O/KOgCCoeT8r7DMFGuuzSGuclbBR+jxQIkufBPWgdRhTUj/jcaQpESACRIAIEAEiQAT0R4BiuPTXZ6QxESACRIAIEAEioDMC5HDprMNIXSJABIgAESACREB/BMjh0l+fkcZEgAgQASJABIiAzgiQw6WzDiN1iQARIAJEgAgQAf0RIIdLf31GGhMBIkAEiAARIAI6I0AOl846jNQlAkSACBABIkAE9EeAHC799RlpTASIABEgAkSACOiMADlcOuswUpcIEAEiwAmIS0qNmoN8y0V+ij6JABHQKAFyuDTaMaQWESACRECeQAMsZXlY/GAanikmZ0ueE10hAtohQA6XdvqCNAlFAnVFyDSZkJJTAVsz+22oK1oCU1gYwlJyUNX8IlpfmLyZoKA6sNs9CTlVFwJvl7hg80MBbNuKsuxRCGP3QLN/o5BdZgXQD5Ne/zuyrgw8CmqRCBAB7wmQw+U9M6pBBNQjEHEtUqaYUF5pBvsT2rQ14ERNNZCYiJvLq1FrlXpcF1B9cA8KjclIGdarqQrt+ZeA1YzKS0ZjZEwX/7bjlB6OhIwDbL1bl38HkJHQC8aEJCQYA6WLUynaIQJEwEcC5HD5CI6qEQF1CIQjKi4alrx9KK2TOFW2GhzcchxTHknHSBSioPSMpDkraiuPwjjldgyLoK+wBIwfd22oKy3Gv1JvRgwh9yNnEk0EgpcAPTqCt2/JMl0Q6IKYkXci2VKNmhMNTo1t1R9jS/nvkZKcgpQpQF7BP1HHr9b9EwV5ZsTHmRDOztksKMvPRpqJTz2ZMCozB0VV9hqy03DidOYwZBadtktmcnIzMYpPX43KRE5RVdPIG5/+3LAXJZJyprS12OtoCziNosxhCDMtQZHUgRTrhsGUWYQ68OnSe5Cdn4/stHjHlFkKMnNLYKmrwt7sNPt0alg80tZ+BIvEFwV+xZmv3muqZ0pD9l6JnqI19hinzFGmJtk5RahyjhQ69ByViQ28LVedOW/x8wxKC75H6siBkH9ourTZTC9HeymrkF+wtqmvRmUit+w46qoKmtmztsTiMsXcTBk6IAJEQIcE5J8dOjSGVCYCeiRgiLkZ9yd/ji0Haxx/ZB1ThvExiArvjWEpycDhGpxwOB22EzU4bBmJ+8U//udQtua/MHbnpXik7Bf71FPjZ3iiwxaMnrURZVYbWspnlNiIzT7kwTEtafsW+f+VjLFFV2C1mclpRP3L1+CDyfdifv63kj/+FhT+MRvbuk3HbjbV1ViLzf32INnRlnf8d2DhulJEL/0IgvALzPtvRsm0ETANWoGvbluFWqbDkQwgazaW7ZDqsAML5+xEh0cK0cjKFI/HqZV/wNjsEodz2IDj+QuQMHYfIleXoZHpWf+/iPtgPhLn78BxqfNW/B4O9lqIKtZ+8SwMlxsxZE7uv4a3Mp3oaHPYZmBuEeqZXkVJKE9z4Vf4AtYVDcDSqkaR3f6bDmPasCgMWlGN21aVQRB+xJHlHZE1YQV2HG9ywL3jSqWJABHQIgFyuLTYK6RTaBEw9MbAIT0kcVxsyvA4ku9n01cGRAy7HVPK9+BgNQsUt8FaW43y5Dvtf/zrPsfba05gStr9GG7sZOdm6IfEafcjufgQvjQ3AIaBGHn/9SjMex9fOEd42IhNISBOSwJ1xesxJ+dqLF86wyHHgPBBU7Bu81i8P2c9iiWjVcZFmViaOsg+umYwYtjtCTDytrzquQQsemIBUmMjAHSCcditGG40Inn5YswfboQBBoTHjsDv43/A+5/+p2mkDYOR/uJTkjITsPSJSahcswMlTM+6g3hhTj7inXIAhA9G+rrnMeX9lXih2DGix3Q1jkXaxGsQztqPHWC3qYUNdud02+8GIlLuiWk7ioL1+YCTDeN3F9KmdEbO+v2o5k6ecRqeWDoBseEGgLPDfRLuEYgdeQviLZ/g00rnmGYLjZwnOiYgo/oVpBo7Ok/RDhEgAtokIPf40Ka2pBURCEoCveyjWDyOS5wy7OcYwWLOgglx8XwEzOEoDXH88Y9IwmpzKVYPP4Oi/Hzks385mRgdNwOFTlZdEJPyANIr38DbJfZYMNvxf+CNvEgsmHQ9ImCXaTHGYGCkw2kT6xoQHhWDeItrDJlTMMCcIlYGR1FZ2zzsX1pK3f2rccvgvpKpPamep+0jdxYThgzsLSnDOZqbT88qUoy9wHAG96ZcC+YautvEKeBCNE3zioV6I2l1KYSCdMTSk9YdNjpHBEKKAD0GQqq7yVhtEnCMYoHFcV2wOwzxjhEsprBjhEp8k9F2GjWHO2OK849/HSpyZsDULQ6j132Kc6x8jzF4ufRvSJY4QYZ+t+EhZyzYBVQX/B9y4lMxbmiPJiSWZzC6e4dmKQg6NHPcmoqqsxeNuCgxCk0dcc2klOHZ0X2a2RLW4WrMKLQ0K6XogL3AkP8bdd4IFaeJ6bGriDsVIgJBRoDGoYOsQ8kcnRJwjmJV4mZ8i/j7p0rehrMH1scv24dP7/2tGEyf6UgHYavaivkzSjBmWw02pA5wjOiwoPRClAMY4sThGEWbvA+liyNRs+VzJN//lKQNAMkbUfl+K6MxCma4nM21+8592Fj5OtJj5dImSKYVPejKRq/yf5eIN+XiuzzUp8tEgAgQAUaAfmrRfUAEtECAj2L9qwA7ttS0mA4TA9/jq1H2jy9R7hwlccRzwXWK7SLqz7l6R3wUrRDvvvp/2FJ4fdOUJezOmLH8c3xlkQZq22AtW4tRYd4kGrWnufAvUtfpSwcHMS9Zb3vMm/EIPvrqpCTYH4C1BNmjYtwkmW1NW/YCQwl+5xxRdF/W/mICJHF4rNwFVOVMQpjI77z7inSWCBCBkCFADlfIdDUZqm0CjlGsNYuxmKWDcE1oKgbWH8XihfmIF4PpmTUOJ8p4EHmbPnSkTmiApWQDlsx5CS0mzyKux6QFkViz8GkU8qB7EYoBEYmz8OKYDzBnyQaUiE6XDdaqHXg64yUgKwOTZEeKXKnyNBe7kbv13/ZAd2sF8lesxrMtFHKtq/S4DM8+vQb5YioKG6wVeZg7eTfGvDgLiWwUKmIk5r34e7w/50k8z9MrMB2efgIL8QhWTor14pcme4EBnqc+DdEYkzkLcc+uxqqi46KjZ7N8iE15nyNR5HepUuOoHBEgAkFKgByuIO1YMkt/BAyRAzHECJmEpo5RKLgEg0eMxKO7V2P4oTSYOrA8XAl4/B+9kbbj71hkdGXQA0PHpSKZveU3a3Tz6UTDAKQ+vw2bf/8dMk2dERbWAd0Sd6LP3C14c8Fwmbf3XOXbjw2xE7GuMB1YFo9uLKfX2NdQf28G/pbcQiH3AjyenYCsucNwdMUtdj2TihCfuw3PO6dUO6Ff6koUb/49TmQmoAPTodt92NlnFkrffAQJ7A1BpZvHdBBcUCcYkxbjzdLJaHz6BrHNDqZsNE5702t+XCJ9EgEiEFwEwgS2bgRtRIAIEAEiQASIABEgAn4j4MVPPb/pQIKJABEgAkSACBABIhDUBMjhCuruJeOIABEgAkSACBABLRAgh0sLvUA6EAEiQASIABEgAkFNgByuoO5eMo4IEAEiQASIABHQAgFyuLTQC6QDESACRIAIEAEiENQEyOEK6u4l44gAESACRIAIEAEtECCHSwu9QDoQASJABIgAESACQU2AHK6g7l4yjggQASJABIgAEdACAXK4tNALpAMRIAJEgAgQASIQ1ATI4Qrq7iXjiAARIAJEgAgQAS0QIIdLC71AOhABIkAEiAARIAJBTYAcrqDuXjKOCBABIkAEiAAR0AIBcri00AukAxEgAkSACBABIhDUBMjhCuruJeOIABEgAkSACBABLRAgh0sLvUA6EAEiQASIABEgAkFNgByuoO5eMo4IEAEiQASIABHQAgFyuLTQC6QDESACRIAIEAEiENQEyOEK6u4l44gAESACRIAIEAEtECCHSwu9QDoQASJABIgAESACQU2AHK6g7l4yjggQASJABIgAEdACAXK4tNALpAMRIAJEgAgQASIQ1ATI4Qrq7iXjiAARIAJEgAgQAS0QIIdLC71AOhABIkAEiAARIAJBTYAcrqDuXjKOCBABIkAEiAAR0AIBcri00AukAxEgAkSACBABIhDUBMjhCuruJeOIABEgAkSACBABLRAgh0sLvUA6EAEiQASIABEgAkFNgByuoO5eMo4IEAEiQASIABHQAgFyuLTQC6QDESACRIAIEAEiENQEyOEK6u4l44gAESACRIAIEAEtECCHSwu9QDoQASJABIgAESACQU2AHK6g7l4yjggQASJABIgAEdACAXK4tNALpAMRIAJEgAgQASIQ1ATI4Qrq7iXjiAARIAJEgAgQAS0QIIdLC71AOhABIkAEiAARIAJBTYAcrqDuXjKOCBABIkAEiAAR0AIBcri00AukAxEgAkSACBABIhDUBMjhCuruJeOIABEgAkSACBABLRAgh0sLvUA6EAEiQASIABEgAkFNgByuoO5eMo4IEAEiQASIABHQAgFyuLTQC6QDESACRIAIEAEiENQEyOEK6u4l44gAESACRIAIEAEtECCHSwu9QDoQASJABIgAESACQU2AHK6g7l4yTtsEjiE/LQZhYWEIC5uNfMtFwFqFopxMjBLPsfPxSMvOR5mlQdumeKHdxbJsxISNQnaZ1YtagS5q75uY7DJcdNO0Pmzgil+EJX+24z6LQVr+MX6BPokAEQggAXK4AgibmiIC7ghcmVWKX4VXkNr3OPLn34vJH1yB1eZfIAgChPq/Y/yp9Rj24Esos9rcVadzfiHQH6m51ajOSEBHv8gPpNCOMKa+AsG8DVMD2Sy1RQSIQDMC5HA1w0EHRKAdCZwsw86c87hj/DgMN3ayKxI+CBNm3I/k4jfwdskZ+zlrFfZmp8HkGAUzpa3F3qo68VrLkRcryrJHISwmG2UXHfujHkLaKBPCwkxIyanARUsJcjNTHCMg8Uhb+xEsDt/OZvkIa9Pim65lF6CKO36WfKSFtTJiYrOgLLdptM6U9hJKnCN1p1G+93+RZmKjeGGQ2gA0wFLykvNamCkN2XurII6HXSxDdowJozJfQDbXyzQDOSWfIN9pQwoy8yvs5V10aJLFWfw3st3Vg8sIl7Wiufy3v8DPkltFnhNvpznzZq6zi47NOHns6xRkbljlZGVKy0FJ2VZkiv0bhrBRS5DvuDck6tIuESAC7UCAHK52gE5NEgG3BPpeg98n/4y9O7c6HShWzhCbjgKhFKuTegO2b8VRsOR3o7GZjYI11mJzvz1ITlyC/OMKpx2L/4mOcw+hsf4Q1qUYsGvZDEwruROl9b+ivjQd3y24D9M2VcBmLcGaB9Owq98amBvZaNtb+H15BhLn78Bx5jEYU5ErVCM3tb8bcxpwfMcKjJ32L9xVehZC/adY8N0KjJi2GVWNrPhX2HukNx4p+8VxLQtpG0tRBxusZS/hwRG70G9zLRqFRtQXJaE87V7Mz/8n3uUMAAAHc0lEQVQWdkfFguK8L9Fr8Udi3ay49zFjxH9hZ9z/ol44i9KsS/DsnNdRUncRdcXrmnQQfsSR5R2xJnkZ3q66YNe5+C282yED5sZfYN5/M0ruvU/SDjfrNIqenox7S27GfvMvaDRnoHPJAVj4ZU+cWDkp8zHRaHrwtsLpopK+LkTeQSMWV7G+W4O412dgxNj3EfdyhZ0NNmGOyJUrS59EgAi0GwGBNiJABNqJwHfCtqlXCldmlQq/iho0CvWV24RFiUYBgAAYhcRFfxO2bTsgVNY32ktUbhSSkSAs2n+qSecf9wuLjEYheeMR4ZfSLOFKJApZpfWO6/VCaVaigCuzhNJfHfvGxcL+H6XyrhSmbvuuSZ69JeHH/YsFo6QsO/2rKP8+YWPleZfyLoeNR4SNyUYBU7cJZpdLdhlSG6Q6nhL2L0oQjIv2Cz866zmuJ///9u4/JMo7jgP4+54ra+Z565ise3KTvJWTYQzv5ohGaOIak0juwj+2NsHBDNogpKxZwejnsiC2ahVDp46EoIuGODZleoMNWZxRGKTVHWsz7w/Bllb0y7vxPM/9eM7zLgXNp9tbkPs+zz3P9/v5vj7c8fV5vt/H+kD/Q3fgkAWq92P7pNQvGdwODDqrAjBvCjgHHoZrUwqx5wUCStuQ2hlT5WbQGfg4ynxMsZGd7zzFaUjxH+cYDiaB09ikcq1yfBzHRs59IBCQ+zFRrsPRsEABCsygQOQPrVkb8rFhClBAERCQtsyOg12DGBt047zzG3yEs3A4ipCzdg86fY/gHx2GB9nIyUyLoKUvxdslqfAM3wteAYq8NWEp1QRjqvLRV+p7BXlZC8cdeh/XL3bD5zuAYqM+eEtRh7m2rfBgCMOjE00lV1Xhv4dhjw+WvCxkqHZHigZkGOdHNkOlJzdx0dkDX10xjOGFAwbYtroAzzBGg/fiUjOMSA2dI72q+hTZPQcvr3Dgi5xzcGTOg65oGxrO/RS9AKHEhtz00NdgGjJzsqPakep6MujFH1HmAtJzbSiRG5qk04TxAUjgNLlcxzrG2ERAWKIABWZRIPRNM4shsGkKUGC8gGC2Yp19PSoP/oKxAScq+7/Ep6d7J1wxN/7cad22HIL7cUCZwC9N4pd/u7DFqhrwTWuDSmXKQoJQe8HXG1tgneIMdsFcgv1df2HQ3Qbnpgz89lkpbKIdh3tuT2/Us+Q0vZ1gbRSgwEwKcMA1k7qsmwKTFvBjpLMWoq4cDaH5RcFzhcVvobTEIm8JBhMs8KJ/QPVIhZHr+LPjPiymBaq5QaGGH+DO0GhoI+ZVqe8f9N4cPwBJxdL8FTB7LuCyNzjfKebsBDuEBTBZzPD03sRQgsNi3pqThXyHFZ6Oy/AGr2bFHDPlHSkwW9+Hff0WNP3txiFLG052XcdjqZ4ON66OhBq6i4F+L7AyG6JqYDdHzMbKKHM/Rq660SHHMXNOU8/1lGF4AgUo8AwFOOB6hthsigLxBQSkF5ShuvB37Nx3QjVpfgTXzp3A0ebXsbHIgpTXilFV+RB1e47Ltxjhv4XOrw6iDnZUrclGytJ8OMz9aHN2w+eXVvudQdMPPXGbFeT6XkDz0bPyYyf8vg7UFokQt7mAcDxn0CetTPT7cOFIBUSxFp3hQUqcqoVsrKmyw9zcgNM9/0KOs3YNdGItfh1OdDvShILyD1HYfgT7Gq/IKw1DKwDFbZ1Q1mLGaTNm9wNcayiHTlrF2Ced6cfdG1fQe98KR/4SzJWO97WiqT5o1Xkce+qAmopVMKvrMq9CRQ3C5n5fN+qbWoOT5tV5m14nV0ZRwlzzy1udJJYpoH0Bfma1nyNG+H8RSCtAdUsrjuVdQkWOMThvyojCH0343P0dqq0vAkIW7F870V7qxQZxHnT6TGy49R7aXfthX5wCpL+Dzed34NXGdyHq58F6/BHWVn8QX1DIQtneejQW/AybQQ+9WIHugmNw7SpEepoNG099j2ocRq5BD51eRNmlN9Hk2o7V0rynhI+FSMHish1obXwDbbaFcpzF3VY4XdtRbFJdPoqJTECa9ROcaq8EdubBoNNBL27EpbzDSkwxxyfaMR/LyveivfoJduZKnnoYcluw6MC32FwYnFlmXo5FA7tlK3GDF6XtLdglrQaN+nkJq3e1hM314m4MLFoeGZQ9zSmqLmmQp36cRnyn1QuXJM71+Hq5TQEKaFpAJ03I13SEDI4CSSsgPeupCDV5Z9CXFA/YfJ4SJT0fay1sJ0vh7pv63LDnqafhWKWBnlgDOLviPMojfCQLFKDADAjwCtcMoLJKClCAAhSgAAUooBbggEutwTIFZkHAs9WGuaH/pTgL7bPJZBcI/i9F0YHmZO8q+0cBDQvwlqKGk8PQKEABClCAAhRIDgFe4UqOPLIXFKAABShAAQpoWIADLg0nh6FRgAIUoAAFKJAcAhxwJUce2QsKUIACFKAABTQswAGXhpPD0ChAAQpQgAIUSA4BDriSI4/sBQUoQAEKUIACGhbggEvDyWFoFKAABShAAQokhwAHXMmRR/aCAhSgAAUoQAENC/wHahfCeDXHcnAAAAAASUVORK5CYII="></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Both spectra show a peak at wavenumber 1700 cm<sup>–1</sup>. Identify the bond responsible for this peak.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce which spectrum belongs to paracetamol, giving two reasons for your choice. Use section 26 of the data booklet.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe how mild analgesics function.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>C=O</p>
<p><em>Accept “carbonyl”.</em></p>
<p> </p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>X</strong> (must be identified) <em><strong>AND</strong></em></p>
<p><em>Any two of:</em></p>
<p>For <strong>X</strong>:</p>
<p>N–H «absorption» <em><strong>AND</strong> </em>at 3300 – 3500 «cm<sup>–1</sup>» ✔</p>
<p>O–H «absorption» in phenol <em><strong>AND</strong> </em>at 3200 – 3600 «cm<sup>–1</sup>» ✔</p>
<p>absence of OH «absorption» in carboxylic acid <em><strong>AND</strong> </em>2500 – 3000 «cm<sup>–1</sup>»</p>
<p><em>Accept any specific wavenumber in the range 3300–3380 «cm<sup>–1</sup>» for M1.</em></p>
<p><em>Accept any specific wavenumber in the range 3100–3200 «cm<sup>–1</sup>».</em></p>
<p><em>Award <strong>[1 max]</strong> if <strong>Y</strong> is incorrectly identified for paracetamol but if a correct reason/reasons is/are given for the bond absorption(s).</em></p>
<p><em><strong>[Max 2 Marks]</strong></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>prevents/interferes with the production of prostaglandins</p>
<p><em><strong>OR</strong></em></p>
<p>prevents/interferes with the production of substances responsible for inflammation/pain/fever at the site of injury/source of pain</p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Ethanol can be detected by a variety of instruments.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Fuel cells use an electrochemical process to determine the concentration of ethanol.</p>
<p>Formulate the overall equation for this process.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the chemical shifts and integration for each signal in the <sup>1</sup>H NMR spectrum for ethanol using section 27 of the data booklet.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>C<sub>2</sub>H<sub>5</sub>OH(g) + O<sub>2</sub>(g) → CH<sub>3</sub>COOH(aq) + H<sub>2</sub>O(l)</p>
<p> </p>
<p><em>Accept any correct formula for reactants </em><em>and products.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>R–O</em><strong><em>H</em></strong><em>:</em></p>
<p>1.0–6.0 <strong>«</strong>ppm<strong>» </strong><strong><em>AND </em></strong>1 H</p>
<p><em>R–O–C</em><strong><em>H</em></strong><sub><strong><em>2</em></strong></sub><em>–:</em></p>
<p>3.3–3.7 <strong>«</strong>ppm<strong>» </strong><strong><em>AND </em></strong>2 H</p>
<p><em>–C</em><strong><em>H</em></strong><sub><strong><em>3</em></strong></sub><em>:</em></p>
<p>0.9–1.0 <strong>«</strong>ppm<strong>» </strong><strong><em>AND </em></strong>3 H</p>
<p> </p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for the ratio of 1:2:3 (in any </em><em>order).</em></p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for three correct chemical shifts </em><em>without integration.</em></p>
<p><em>Award </em><strong><em>[1] </em></strong><em>for two correct chemical shifts </em><em>without integration.</em></p>
<p><em>For each chemical shift accept a specific </em><em>value within the range.</em></p>
<p><em>Assignment of proton to fragment </em><em>(eg, R–O</em><strong><em>H</em></strong><em>) is </em><strong><em>not </em></strong><em>required in each case.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>The use of performance-enhancing drugs presents a challenge in the world of competitive sports. New regulations have lowered the acceptable concentrations of certain drugs in athletes’ bodies.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest what may have led to these changes in acceptable concentrations.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>One class of performance-enhancing drugs is the anabolic steroids. Detection of these drugs in urine samples uses a combination of gas chromatography and mass spectrometry (GC/MS).</p>
<p>(i) Describe how gas chromatography enables the components of urine to be analysed.</p>
<p>(ii) The structures of two steroids, testosterone and nandrolone, are given below.</p>
<p><img src="data:image/png;base64,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"></p>
<p>With reference to the molar masses of the two steroids, determine, with a reason, which can be identified from the mass spectrum below.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[4]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>improvements in technology/instrumentation/analytical techniques/precision of measurements</p>
<p><em>Accept “greater awareness/knowledge of the negative effects of the drugs”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p>«components have» different affinities for/partition between 2 phases/mobile and stationary phase </p>
<p>move at different rates through instrument<br><em><strong>OR<br></strong></em>have different retention times</p>
<p> </p>
<p>ii</p>
<p>nandrolone <em>M</em> = 274 «g mol<sup>–1</sup>»<br><em><strong>OR<br></strong></em>testosterone <em>M</em> = 288 «g mol<sup>–1</sup>»</p>
<p>nandrolone identified because «molecular ion peak of» <em>m/z</em> = 274 </p>
<p><em>Accept non-integer molar masses, ie, 274.44 «g mol<sup>–1</sup>» and 288.47 «g mol<sup>–1</sup>». <br></em></p>
<p><em>Accept also “m/z = 275” for “m/z = 274” in M2. <br></em></p>
<p><em>Accept “absence of peak with m/z = 288”</em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Solubility plays an important role in the bioavailability of drugs in the body.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why aspirin is <strong>slightly</strong> soluble in water. Refer to section 37 of the data booklet.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A student prepares aspirin from salicylic acid in the laboratory, extracts it from the reaction mixture, ensures the sample is dry and determines its melting point.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Suggest why the melting point of the student’s sample is lower and not sharp compared to that of pure aspirin.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Organic molecules can be characterized using infrared (IR) spectroscopy.</p>
<p>Compare and contrast the infrared peaks above 1500 cm<sup>−1</sup> in pure samples of aspirin and salicylic acid using section 26 of the data booklet.</p>
<p><img 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"></p>
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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Some mild analgesics contain a solid mixture of acidic aspirin and a non-acidic organic chemical of similar polarity to asprin.</p>
<p>Discuss how acid-base properties and the process of solvent extraction can be used to separate aspirin from the mixture.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The pharmaceutical industry is one of the largest producers of waste solvents.</p>
<p>State a green solution to the problem of organic solvent waste.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>presence of «large» benzene/arene ring <em><strong>AND</strong></em> non-polar/hydrophobic<br><em><strong>OR</strong></em><br>presence of «large» benzene/arene ring <em><strong>AND</strong></em> cannot form H-bond with water</p>
<p>contain COOH/carboxyl/–OH/hydroxyl «and ester group» <em><strong>AND</strong></em> polar/hydrophilic<br><em><strong>OR</strong></em><br>contain COOH/carboxyl/–OH/hydroxyl «and ester group» <em><strong>AND</strong></em> can form H-bonds with water</p>
<p> </p>
<p><em>Accept “phenyl” for “benzene ring”.</em></p>
<p><em>Accept "carboxylic acid" for "carboxyl".</em></p>
<p><em>Do <strong>not</strong> accept "alcohol" for "hydroxyl".</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«student’s» sample impure</p>
<p>lattice disrupted/not uniform «due to presence of impurities»<br><em><strong>OR</strong></em><br>fewer interparticle/intermolecular forces «due to presence of impurities»</p>
<p> </p>
<p><em>Accept converse arguments.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>One similarity:</em><br>peak at 2500–3000 «cm<sup>–1</sup>»/peak due to O–H/hydroxyl in carboxylic acids<br><em><strong>OR</strong></em><br>peak at 1700–1750 «cm<sup>–1</sup>»/peak due to C=O/carbonyl<br><em><strong>OR</strong></em><br>peak at 2850–3090 «cm<sup>–1</sup>»/peak due to C–H of arene</p>
<p><em>One difference:</em><br>peak at 3200–3600 «cm<sup>–1</sup>» in salicylic acid/ peak due to O–H in phenol in salicylic acid<br><em><strong>OR</strong></em><br>«two» peaks at 1700–1750 «cm<sup>–1</sup>» in aspirin <em><strong>AND</strong></em> one peak «in the same area» in salicylic acid</p>
<p> </p>
<p><em>Accept “peak at 1600 cm<sup>–1</sup> for arene/benzene ring” – not in the data booklet.</em></p>
<p><em>Accept “2500–3600 cm<sup>–1</sup> «overlapping absorptions of two O–H» in salicylic acid”.</em></p>
<p><em>Accept “stronger/broader/split peak at 1700–1750 cm<sup>–1</sup> in aspirin”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>dissolve compounds in an organic solvent</p>
<p>add NaOH(aq)/OH<sup>–</sup>(aq) «to the mixture» to convert aspirin to its water soluble salt</p>
<p>separate the two «immiscible» layers</p>
<p>convert salt «in aqueous layer» back to aspirin by reacting with acid/H<sup>+</sup></p>
<p>«evaporate solvents and dry»</p>
<p> </p>
<p><em>Accept organic solvents immiscible with water such as hexane, ethyl ethanoate, butyl acetate.</em></p>
<p><em>Accept any other base.</em></p>
<p><em>Need explanation for mark.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«use of» alternative solvents such as supercritical/liquid CO<sub>2</sub><br><em><strong>OR</strong></em><br>use of water «as solvent»<br><em><strong>OR</strong></em><br>solvent-free reactions «for example, polymerization of propene»<br><em><strong>OR</strong></em><br>solid-state chemistry<br><em><strong>OR</strong></em><br>recycle «waste» solvents<br><em><strong>OR</strong></em><br>catalysis that leads to better/higher yield<br><em><strong>OR</strong></em><br>reducing number of steps</p>
<p> </p>
<p><em>Do <strong>not</strong> accept political/regulatory solutions.</em></p>
<p><em>“catalysis” not sufficient for mark.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p><span class="fontstyle0">Technetium-99m is the most commonly used isotope for diagnostic medicine.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the type of radiation technetium-99m emits.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Discuss the properties that make a radioisotope suitable for </span><span class="fontstyle2"><strong>diagnosis</strong>.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Describe the proper disposal of low-level radioactive waste in hospitals.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Technetium-99m has a half-life of <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>6</mn><mo>.</mo><mn>03</mn></math> hours. Calculate the amount of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>11</mn></mrow></msup><mo> </mo><mi>mol</mi></math></span><span class="fontstyle0"> of technetium-99m remaining after <math xmlns="http://www.w3.org/1998/Math/MathML"><mn>48</mn><mo>.</mo><mn>0</mn></math> hours.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>gamma/<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>γ</mi></math> ✔</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any three of:</em></p>
<p>«easily» detected/traced<br><em><strong>OR</strong></em><br>«gamma-radiation of approximately» same frequency as X-rays «so can be detected using existing X-ray equipment» ✔</p>
<p>short/intermediate half-life «hence does not remain in body for long time» ✔</p>
<p>weak ionizing radiation «less harmful»<br><em><strong>OR</strong></em><br>low amount of radiation produced «so less harmful»<br><em><strong>OR</strong></em><br>energy of photons is low ✔</p>
<p>form «variety of» compounds that are absorbed by «different» organs<br><em><strong>OR</strong></em><br>«chemically» binds to many biologically active compounds ✔</p>
<p>excreted quickly «from body» ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>store until material becomes inactive/radiation levels drop ✔</p>
<p>dispose with other waste<br><em><strong>OR</strong></em><br>dispose in landfills ✔</p>
<p><br><em>Only award M2 if M1 correct.</em></p>
<p><em>Accept “dispose by incineration” for M2.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Alternative 1:</em></p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi>N</mi><mo>=</mo><msub><mi>N</mi><mn>0</mn></msub><mo>(</mo><mn>0</mn><mo>.</mo><mn>5</mn><msup><mo>)</mo><mfrac><mi>t</mi><msub><mi>t</mi><mrow><mn mathvariant="italic">1</mn><mo mathvariant="italic">/</mo><mn mathvariant="italic">2</mn></mrow></msub></mfrac></msup><mo>=</mo><mo>»</mo><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>11</mn></mrow></msup><mo>×</mo><msup><mfenced><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></mfenced><mfrac><mrow><mn>48</mn><mo>.</mo><mn>0</mn></mrow><mrow><mn>6</mn><mo>.</mo><mn>03</mn></mrow></mfrac></msup></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mi mathvariant="normal">N</mi><mo>=</mo><mo>»</mo><mn>4</mn><mo>.</mo><mn>02</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>14</mn></mrow></msup><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<p><br><em>Alternative 2:</em><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>«</mo><mi>λ</mi><mo>=</mo><mfrac><mrow><mi>ln</mi><mo> </mo><mn>2</mn></mrow><mrow><mn>6</mn><mo>.</mo><mn>03</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>115</mn><mo>«</mo><msup><mi>hr</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><mi>N</mi><mo>=</mo><msub><mi>N</mi><mn>0</mn></msub><msup><mi>e</mi><mrow><mo>−</mo><mi>λ</mi><mi>t</mi></mrow></msup><mo>=</mo><mn>1</mn><mo>.</mo><mn>00</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>11</mn></mrow></msup><mo>×</mo><msup><mi>e</mi><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>115</mn><mo>×</mo><mn>48</mn></mrow></msup><mo>=</mo><mo>»</mo><mn>4</mn><mo>.</mo><mn>01</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>14</mn></mrow></msup><mo> </mo><mo>«</mo><mi>mol</mi><mo>»</mo></math> ✔</p>
<p><br><em>Award<strong> [2]</strong> for correct final answer.</em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>This question was well answered. Most were able to state that gamma radiation is emitted from technetium-99m. The most common incorrect answer was beta radiation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some excellent answers were seen for this question; often candidates were hitting four of the assigned marking points, though a few candidates confused diagnosis and radiotherapy. Nearly everyone got a mark for "short half-life", however. This question was much better answered than in previous sessions.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Surprisingly, this question caught out several candidates and the marks varied from zero to one to two. To score full marks, candidates first had to state that the proper disposal of low-level radioactive waste (LLW) in hospitals involves storing the material until such time as radiation levels drop. Then the material can be disposed of in landfills for example. A number failed to outline the first point and some also mixed up LLW with HLW.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The question on half-life was very well answered and nearly all scored full marks, often via different methods of calculation of the amount of technetium-99m remaining after a period of 48 HRS.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span class="fontstyle0">Consider the structures of medicinal molecules in section 37 of the data booklet.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Explain how zanamivir works as a preventative agent against flu viruses.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Circle the side-chain in penicillin on the structure below.</span></p>
<p><span class="fontstyle0"><img style="display: block;margin-left:auto;margin-right:auto;" src="data:image/png;base64,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" width="331" height="208"></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Explain, with reference to the action of penicillin, why new penicillins with different side-chains need to be produced.</span></p>
<p> </p>
<div class="marks">[2]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>S<span class="fontstyle0">tate and explain the relative solubility of codeine in water compared to morphine and diamorphine.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">State the natural source from which codeine, morphine and diamorphine are obtained. </span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Circle </span><span class="fontstyle2"><strong>two</strong> </span><span class="fontstyle0">chiral carbons in the section of the Taxol structure below.</span></p>
<p style="text-align: center;"><span class="fontstyle0"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPcAAADeCAYAAADhL5atAAAgAElEQVR4Ae1dCZiNZf82M82MQZbRhMxopBhZSolC1qgk3/Avy9AmfEWJpEVpoUghJEs+UWPpi/qa4iNbyL7kQ7a0aMiayZ4Zjft/3Q/v8c6Zc8687znveuZ5rutc512f5X6e+32231IEMkgEJAJhiUCRsCyVLJREQCIASW7ZCCQCYYqAJHeYVqwslkRAklu2AYlAmCIgyR2mFSuLJRGQ5JZtQCIQpghIcodpxcpiSQQkuWUbkAiEKQKS3CZX7J49e/Dkk0+iZcuWeOKJJ7B7926TU5TRSwQuIiDJbUBLOHToEOrWrYutW7fmiW3Lli0oVaqU+DVv3hzx8fEoXbo0eF0GiYDZCEhyG4AwyVqkSBH897//zRPb3XffjUqVKoHkZ+B/YmIi7r///jzPyROJgBkISHIbgOrJkydx5ZVXomPHjrhw4YKIcf369YiKisLQoUPzpPD000+jXLlyea4pJ1lZWVixYgU2b96sXJL/EoGgEZDkDhq6vC+OGjVK9N516tQRPXPRokVRtWpVnDp1Ks+D7LVr1KiR5xpPJk6ciBIlSog4OAqoV68ejhw5ku85eUEioBUBSW6tSGl4bvbs2WLhrH79+ujXrx+OHTuW7y3OwZ999tk815ctW4aIiAikpqaKnnv69OmeeXqeB+WJREAHApLcOsAy4lHOudPS0vJE9eCDD4q5+Pnz5z3Xx44dK3rxzMxMzzV5IBHQg4Aktx60DHj25ZdfRmRkJIYNG4ZNmzbh9ddfFyR+880388TOUQCH57t27cpzPTs7G6NHj0azZs3QuHFjcDqQk5OT5xl5IhEgApLcFrcDkvOhhx7yzK05HO/WrRv+/vvvPDnp2bMnrr766nzXO3ToIN5t1KgRmjZtKo47deqU5115IhEgApLcNrWDn376CfPnz8cvv/ziMwft27cXe+fqm1xJZ2/OIbsSRo4cKa6tW7dOuST/JQICAUluhzYEDtO5lbZ27VqRQw69uW9epkyZPMNwLtqR8BMmTHBoSWS27EJAktsu5AHMmTMH+/fv95mD48ePo3r16oiNjUWLFi1w7bXXChKnp6fnef7PP/9Eq1atkJGRkee6PJEISHLb1Aa4h80el8Nqf4FCLS+99JKYW3NevXz5cn+PyusSgXwISHLng8SaC59++qkgt5QztwbvwpiKJLdNtf74448LMVRFXNWmbMhkwxgBSW4bKpeEpkJJly5dbEhdJllYEJDktqGmf/zxRzEknzp1qg2pyyQLCwKS3DbU9AcffCDIvW/fPhtSl0kWFgQkuW2o6Xbt2iElJcWGlGWShQkBSW6La5vKIdQMo163DBIBMxGQ5DYTXR9xU+KM+9tfffWVj7vykkTAOAQkuY3DUlNMQ4YMEWKlJ06c0PS8fEgiECwCktzBIhfke1TTbNiwYZBvy9ckAtoRkOTWjlXIT9LkUnR0NF577bWQ45IRSAQKQkCSuyCEDLw/b948Md9euXKlgbHKqCQCvhGQ5PaNiylX+/btK6ykSssppsArI/VCQJLbCxAzT2vWrCltlpsJsIw7DwKS3HngMO/kwIEDYkiutqJiXmoyZomANLNkWRugkQXub+/cudOyNGVChRsB2XNbVP8PP/wwKlas6PFIYlGyMplCjIAktwWVTxXPChUq4NFHH7UgNZmEROAiApLcFrSE7du3iyE5PYnIIBGwCgFJbguQphMBzrcVb58WJCmTkAhIu+VWtIE2bdqgdu3aViQl05AIeBCQPbcHCnMOKLBC753ezv/MSc2iWHMO4rtJfZFaLxnxcTEoGl8JtVp2x/CMHTh50YOxRRmRyQRCQJI7EDoG3KNHkWrVqgnvIgZEZ38UJzdgWNN4xFVLw5iFu3D0bA7OHc/EupnPo1m5WCSnzcLey/4M7c9vIc6BJLdFlR8eVk6PY0G3axBZ+QksysrfRWfvHoOmxWNRf8ROSH5b1LACJCPJHQAceSsvArmZH6BRVCxafXQI+anNZ7Oxsm8SIhJ6YsnZvO/KM+sRkOQ2EvMwn4tmzWiD6Mi6GLkn1y9q2Yu6o3SRJAxYl9drqd8X5A3TEJDkNgrasJ+L5mL7kJqIiE7FZyf9g5a7403UjIhG+9mn/D8k71iCgCS3ITAXhrloLra9kYKImAfwxRn/oOX+MBg1JLn9A2ThHUluA8AuLHPRY+mtER15B8buDTAsX9wDpYskov9aOSw3oGmFFIUkd0jwXXy5sMxFc/eNR+PowAtqa56thIiEHlgsF9QMaFmhRSHJHRp+AArTXPQkFvasiMikbph/LP96efau0WhSLBb1hsutsJCblQERSHKHDGIhm4ue2oChTcqgWEpXjFu6B1nnziPn9AFsnjMId5WPRXLnmVKIJeQ2ZUwEktwG4Fjo5qI5B7FiQh+0rZuEUtGRiC2TiFqtemJ4xk4pfmpAezIqCkluA5CUc1EDQJRRGI6AJLchkMq5qCEwykgMRUCS2yg4C8lctFOnTpBGJ4xqNObGI8ltJL5hPhc9fPiwMDrRsmVLD2rDhg3DqlWrPOfywDkISHI7py4cn5N33nlHkHvcuHEir3RmGBUVhZEjRzo+74Uxg5LchbHWgyxzkyZNBLkVD6ULFiwQ5+vWrQsyxnB5LQcHv5uEvqn1kBwfh5ii8ahUqyW6D8/ADi/rFReOTsG9sdGoP3w38svwZWNpr4q4onxPQ4CR5DYERm2R/PHHH+jTpw8OHjyo7QWHPVWmTBnhDknJ1ssvv4xixYrh/PnCrL19EhuGNUV8XDWkjVmIXUfPIufccWSum4nnm5VDbHIaZqmsV0hyK60nzP5/++03xMXFoVu3bq4r2blz50Qvffvtt3vyzp68WbNmnvPCeHB8QTdcE1kZTyzKyq/jnr0bY5oWR2z9Edh56fsnyR3GrYTueyMiIrBhwwZXlXLatGmC3K+++qrId3Z2tvhQDRo0yFXlMDSzuZn4oFEUYlt9hEP5pXEv4rSyL5IiEtDzkvUKSW5Da8BZkZ05cwaJiYlo2LChq7yPtG3bVpD7119/FYCuXr1anC9cuNBZAFuZm6wZaBMdiboj98Cvnlz2InQvXQRJA9aJObYkt5UVZENas2bNEsTgv1vCNddcg9jYWE92uXLOlfJTpwqvUYbc7UOEYYrUwNYr8GbNCES3nw0idZHcRUT905a9r1+kXFDztDPXHdBYIntu9uDsyd0QOJWoUaOGJ6v3338/brnlFs+5voNzyFw6Hv1S6+G6hGKIji6O8jVa4Z+jl2B/9uWYrOzlLqeq/Sh32xtIiYjBA4GtV2BwDW9yy9Vy7Si78MmNGzeKuTfn4E4P8+fPFz1M7969RVb5cYqPjxcr/7rzfiELywbUQfH4hug/awP2nzqP3JwT+Pnb95CaFIWy90zC7ksEdzq5cSwdraMjccfYvQGG5YvRo3QRJPZfK4fluhuLi1/gqnnRokXBVXQnh0ceeUSQW9nP/uGHH8T5Z599pjPbF/DHF51wVXQNvLgu/4jl3MaBSImMQ4sP9wmyOJ7cufswvnF04AW1Nc+iUkQCelyyXmFlmeQ+t87maeTj3O++8sorQXltJ4frr79ezK+VPE6cOFGQW/d+fe7PeK9+JGJbf4KjvlaXLxzG8mlT8fW2LHeQG8DJhT1RMTIJ3eYf87EVtgujmxRDbL3hcitMaTyF6X/48OGCKCtWrHBssa+44gokJyd78telSxdUqVLFc6754NIw9rZRAVaXVZFZ2cupktV5eAobhjZBmWIp6DpuKfZkncP5nNM4sHkOBt1VHrHJnTFTCrHoxDRMHqdwCIlSp04d/P13foFEu4u5ZcsW8fHp3LmzJyvXXnstOFTXG3J3vIVaEdFoF2h1WRXpRXL7XlFWVpmNWllWJVvg4YEDB7By5UrVczk4uGIC+rSti6RS0YiMLYPEWq3Qc3gGdkrxUxVOhfAwIyNDEOhf//qX40pPB4Yk0pdffinytm/fPnE+efJk3XnN3T0MN0dEI/XfAQyfq2J1Ys9NYqekpIidDn6YnRzknNsBtcPVZ6pRXn311VCUMhyQLZGFm266Sazq5+ZeFNOYOXOmIPfOnTv1Z/HkbLSLjUTdEf6H5Tnnsj0rz3rJfXrrFHRvkIgSMcWQ2LA3Zu1R7avpz22+NxRiU8Z+06ZN+e477YIkt0NqhCvQFAoZMGCAQ3J0MRuUhedHRwm9evVCQkKCcqrv/8J+TGwajdh7PsYRnwtqv2NSszgk/N9MIc6pi9znN+OVlCp47PNfcDr7BLaNvw/lbx+FAJ6PdOXdbcRm4SS5dVWxuQ8/9dRTiI6Oxo8//mhuQhpj//3330Uvfe+993reqFWrFlJTUz3neg+yvkxD2agaeGl9fsPmZ9e9iJSIomg20YCtsKx0tC6ZhrkGdN4kNt0wu6XHVupEkltBwgH/x44dE8IhlON2Qhg6dKggN7e+GP78809ERkZixIgRwWfvwhHM63E9Yss2Qr/0Ncg8kY3z5/7A9q9fw10JkUhoMwV7QtSgupB9GKuHtkBy2+k44GuEoCP3biU2iyjJraOirXj0/fffF4T65ptvrEguYBqNGjUSeVHkx+fNmyfO165dG/C9Am/mHseW6S+hQ4MqKBsXiSJRxVGh5j3oNW45DuZcflvXsFx57ew89EiKR1xMZXSZsQehLHm5mdiEQ5JbaRQO+afhA8pw33jjjcjJUbV0G/JXunRplCpVypPyiy++KIwz2J0vT4YCHGTvm4OulZLRb3Vw43I1sb///vsAKTn3liS3A+tm0aJFooccO3asbbmjQgu3wBo0aODJA3ty9xhn+AsZHYuj+eRDnvxrPQgHYrOsktxaa9zi5/7xj3+IBRyaZrIjcM+d5B4yZIhInnu6VPl0rHGGkxlIS6iNvgsycSbnLPYvH4wmZetg2E6/mtY+YSWxq1atKrB3a4+tFEySW0HCYf/bt28XjaxevXqgbLfVv0qVKokGXrlyZXTt2hWzZ88WZDd6LeDbb781yCpNLo4uewvtapVFTJEolK7WGgPnZkKPdbdwIjabsyS3w0jN7NCEEfWluTL99NNP48knn7T1x20g6p7zd/KkNukyrbDefPPNUIu2an3P6OfCjdjER5Lb6FYSYnxqYqenp4cYmzGvU8CGgixJSUnYu3evMZFeisUJ5OZ+Pofi1FF3+1BcXTmS3Go0bD52IrEVSBSCUzvMSILbTe5wJTbrTZJbab02/zuZ2Ao0ZhDcTnKHM7EluZVWa/O/G4itQGQ0we0id7gTW5JbabE2/ruJ2ApMRhLcDnIXBmJLciut1aZ/NxJbgUpNcMWWuXJPz7+V5KZq7RdffCEUX7jFqOio68mvm56Vc26bakshNk0GO2VVXC8URhDcKnJv3boVzZs3F3v1rVq1Env4MTExeOGFFwzf3tOLo1nPS3KbhWyAeMOB2ErxQiW42eQ+evSokBGgzECFChXwySefgIYnKPlHU83UoS9fvjymTp0qrivlCod/SW6LazGciK1AFwrBzSI3lVvGjBkDKr9QbHbgwIE+vaNs27YNLVq0ED163bp1sWrVKqVYrv+X5LawCsOR2Ap8wRLcDHLTb3j16tUFYdu3b4+ff/5ZyabPf87FOf++7rrrxDtpaWmgrTi3By9yX8DRKfciNro+hu/2YYkzeyl6VbwC5Xvqcf6mzXWM24EsKP/hTGyl7MEQ3Ehy7969G23atBEEpcWYJUuWKFnT9E/lmLfffhslSpQQqq2DBw/G2bP5LcZoiswBD5lLbh2uYxyAhWlZKAzEVsDTS3AjyH38+HE899xzwkRV2bJlMX78eFAvPthAOfNHH31UfCSoQEPPKuzd3RZMJLc+1zFuA05rftXE5mJOYQh6CB4KuWnnnaqplHvnwlifPn1AU1VGhfXr1+OOO+4QJL/zzjtdJ3duHrl1uo4xqkKcFE9hJLaCv0JwOjAItA8eLLnpoYWOHKhzzq0tqsiaEdhjz5gxAxUrVhQmnnv06IHDhw+bkZThcZpHbp2uYwwvmc0RFmZiK9BrIbhectNpYseOHQWpqeP+9ddfWzJkPn36tDBUQceNJUuWxMiRI4VqrlJWJ/77Jrcfp+D8ShYpEqlpQU2v6xgnghNsniSxLyNXEMG1kptmn+jumOSi88R3330Xdnj84CjkwQcfFB8XqonSaKRTg29yG7Bartd1jFMB0psvSez8iAUieEHk5rB41qxZwlAEpfkef/xxHDqk3y5a/lyFdmXZsmWgNxZ2eLTrHpQHltCyUODbIZL7NLZO6Y4GiSUQUywRDXvPgseDi07XMQXm1AUPqIn98ccfuyDH1mXRH8EDkXvjxo1o2LChIBD/ee6kwAW9SZMm4aqrrgI9ofbr10/YdndKHkMi9/nNryClymP4/JfTyD6xDePvK4/bFfesOl3HOAWQYPMhiV0wcr4I7ovc9PvdrVs3sYBF007suZ28FUVnDSQ2CU6ik/BO8NgaErm9qzMrvTVKps2FYilaj+sY77jcdC6Jrb22vAmuJjfn0O+8846YU3NuzTk259puCbt27ULr1q3FSINDdg7d7QwGkfsCsg+vxtAWyWg7/QA82/06XMfYCUIoaUti60dPTfDatWujU6dOoBtj+innHJar4VwVd2vgIhuNSrIsDzzwQMCtQDPLaAi5z87rgaT4OMRU7oIZe7wcuGh0HWNmIc2Km6KJFHfkQo+cY+tDWSF448aNPaqY3Lfm/nU4BH70R40aJTy2UHHllVdeAbfTrAxe5A4l6Wzsm9MVlZL7IRgPLmvWrBE+qilK6PTA+R+V/mnT++6778aUKVOcnmVH5o8Ev+eee4RXk8mTJztinmo0UEeOHAEFX+itZdy4cUZHHzA+A8kN4K8MdCzeHJMPeQbmARNX36SQP+dZtJDhZIKrlf7r168vhl5cAJIhOATUc+7gYnD+W+wMOER/7733LM1sSOQ+mZGGhNp9sSDzDHLO7sfywU1Qts4w6PTg4inw4sWLHUtwKv3T8TyV/suVK4ePPvpI/FhpktyeKtR9IMmtGzLNL4REbuQexbK32qFW2RgUiSqNaq0HYm5m8No4zLXTCK5W+lfM8pw4cUIAPG3aNNlza25qvh+U5PaNixFXQyO3ETnwEYdTCK5W+qdjvj179uTJrSR3HjiCOpHkDgo2TS85ktzMuZ0E//HHHz1K//STvXChb+MU5pBbm3GLoBzTa2oS1j4kyW0e3o4ltx0EVyv9lylTBu+//34epX86wVNLHhlObh3GLSS5zSOF0TG7ckHNaBB8xWdFD+6t9P/UU08J65hKflg53O7iQpp6O8NYcuszbiHJrdSO8/8luQPUkZkE/+6773DLLbeIhTFawaQ1THVYuXIlbr31VnGfe9o7duzw3DaU3DqNW0hye6rB8QeS3AVUkdEEVyv90+olrV+yEpSQmZkpxCK51XXDDTcIowDKPeXfUHLrNG4hya3UgvP/FXJTYs3K4Og5tzcQRhBcUfqPi4sTVi5p7VKt9E+R0tdff11Yv6TFDRoFoCihr2AkufUat7hIbhrP8P+LLN/TV7Ydda0wLahJchfQ9IIlOL+eitI/CfHYY4+BVi7V4dNPPwWtXVJQpXv37gXayjKU3LuH4eaIaKT++6Q6S36P9fbcp7dOQfcGiSgRUwyJDXtjlkfx3m8SltyQ5DYPZlf13AoMegmuVvqnNUtatVSHTZs2Cdlfkl6PlUu6oOE7hkio6TRuoYvc5zfjlZQqeOzzX3A6+wS2jb8P5W8fhT25ahTsOZbkNg93V5KbcGghuFrpn9YracVSPa+mFUua7WFPzR6bPbeeYCi5dRq30EVu70JlpaN1yTTM9T3b8H7a1HNJbvPgdS25CYk/gnsr/Q8aNCiPuh3n0DQKwDl1sWLFxBw7GM8ShpIbgB7jFsGS+0L2Yawe2gLJbafjwOX1Q/NaWAExS3IXAFAIt11NbpZbTXCau1Er/Xfo0AF79+7NA89XX30lVr85nO7cuTO4Kh5sMJrc0GHcIihyn52HHknxiIupjC4z9sBL8z5YGEJ6T5I7JPgCvux6crN0CsG5D03SssEsX748T8G5P63c5741969DDUaQm15Ivvnmm8tZ0WjcIihyX0ole98cdK2UjH7BKN5fzqkhR5LchsDoM5KwIDdLxvkyhVFGjx6dR0Q0KysLTz/9tDBeRwkzSpqp590+UdF4MVRy03oLrbjQzJC14S9kdCyO5pPtNxFcmMhNRwZWhrAh96JFi0Sv/f3333vwox8pOoajquaAAQNA2XAjQyjkVohNbTN/++iG5fVkBtISaqPvgkycyTmL/csHo0nZOhgWrOK9YRmDGGVxehTOQRFikeQOspZ9kZt2q9q2bZtPVTPIJPK9Fiy5LSW2yHUuji57C+1qlUVMkSiUrtYaA+dmIjTN+3xwBHVB9txBwabppbDuuXNzzd3IDYbcnGNzKG5Jj62pCdj7kCS3efiHNbnNg+1izHrJLYmdv0YkufNjYtQVSe4QkNRDbkls30BLcvvGxYirktwhoEgjiVrET9PT0+VQ3A/Oktx+gDHgsiR3CCBqIbckdmCAJbkD4xPKXUnuENAriNyS2AWDW5jIPWLEiIIBMfAJSe4QwAxEbhKbCilyVTwwwJLcgfEJ5a4kdwjo+SO3JLZ2UCW5tWOl90lJbr2IqZ73Re7p06db02Ofy8TS8f2QWu86JBSLRnTx8qjR6p8YvWS/x4UycAFHp9yL2Oj6GL77b1XOLx1mL0WvilegfE/fppvzv2D8FUlu4zFVYpTkVpAI4t+b3FYR+0LWMgyoUxzxDftj1ob9OHU+Fzknfsa376UiKaos7pm0+xLBJbmDqFbDX1HET+WcO0hofYmfBhmV5tfU5LaK2LjwB77odBWia7yIdfn80p/DxoEpiIxrgQ/3UTpPkltzZZr4oCR3iODaSW7aMrdq8Sz35/dQPzIWrT85Cl+2Fi4cXo5pU7/GtixJ7hCblGGvS3KHCKVd5L766qstIzYhOpbeGtGRt2GUJgNosucOsVkZ8rokd4gw2kFu6obTeTyNLlJXvHz58j5/FSpUgPfvmmuuga8fbb15/xo2bHgJnVzseKsWIqLb4TNN2quXyB3A/HGRIpG2LaidPn0a9913Hzp27Iiff/45xBbgzNdJ7P/85z+gL3dX+ed2Epx2kJsNkoYVb7vtNnTt2lUYhaBhCKN/b7zxhofcu4fdjIjoVGizgOzcnpvEbtasmfDHXqpUKcTGxmLgwIE4deqUk5pVSHn54YcfcNdddwkR5ebNm4sPvNE2BQJlUK6WB0JHwz269U1MTBQ99q5duzS8EdojJ2e3Q2xkXYzwOyzPwblsRdVVL7lPY+uU7miQWAIxxRLRsPcsmGHeXCF2dHS0sHl35MgR/POf/xTy9xzhUN/dbHXd0Goh8NvHjh0D/c1FRUWB0zaO8GhEhOsyL730UuCXDbwryW0AmFYS/ML+iWgaHYt7Pj7ie0Ht90loFpeA/5tJE0r6yH1+8ytIqfIYPv/lNLJPbMP4+8rj9lF7oHwqDIBKWKFlj60QWx3n5s2b0aRJE9HT1atXD2vXrlXfdvzx+fPnhaPI+Ph4UT5a/zlx4oQn30888YQYoVg1BZHk9kAf2oF1BM/Cl2llEVXjJaw/653ns1j3YgoiijbDRAO2wrLSW6Nk2lyVUIx3evrOvXtsX29zjjpnzhxce+21guQPPfQQfv/9d1+POuoap4U1atQQeab1H/p49w4coZQuXRrt27f3vmXKuSS3gbBaRfALR+ahx/WxKNuoH9LXZOJE9nmc+2M7vn7tLiREJqDNlD2XTCjp67kvQ3EB2YdXY2iLZLSdfsDnCOHys9qOtBBbHRPtyL/55pvCrnzx4sXx1ltv4a+//lI/4ojjn376SegPUPX3xhtvzGvJ1kcOacCTzy5ZssTHXWMvSXIbiydY2VbMwXOPb8H0lzqgQZWyiIssgqjiFVDznl4Yt/wgcjxlCo7cZ+f1QFJ8HGIqd8GMPaFbN9dLbE/2Aezfvx/svUmI5ORk0auzd7c7cGHshRdeEMY3y5Qpg7FjxyIn5zLy/vLHZ1JSUlCrVi1wGG9mkOQ2AV2rCG5C1lVRZmPfnK6olNwPoZg3D4XYqsxgzZo14DycJG/atCm2bNmivm3ZMRf6aIGH255cIOvduzf++OMPXenPnz9flGPChAm63tP7sCS3XsQ0Ph8WBP8rAx2LN8fkQ8H1lEYRW4GcxOJKOlfUSSwuUB09elS5bfr/qlWrULduXUHMFi1aYOvWrUGnyf19mt2mXX2zgiS3WcgClg3RjSrCyYw0JNTuiwWZZ5Bzdj+WD26CsnWGIRjz5kYTW11GDom5pUR79Fyg4jxWy5BYHYee43379iEtLU2Q+rrrrsOXX34ZsmOL3bt3C0cZzzzzjJ6s6HpWklsXXPofdlUPnnsUy95qh1plY1AkqjSqtR6IuZn654VmEltdA9xS4sozh+qcxy5YsEB9O+RjLuoNHjxYLOqVKFECb7/9Nuhk0qjw7LPPCoLT1ZUZQZLbDFS94nQVwb3yrvfUKmKr88WVZy5QkeRt2rQBe8VQAhfsPvvsMyF9yDgfe+wxHDhwIJQofb5Lx5UJCQnCh50Zi4SS3D5hN/4iCZ6UlGSZJJvxJSg4RjuIreSKK8/jx48X81gKyDz33HM4fvy4clvzPyXJ7rzzTvGhoM7A+vXrNb8bzIMffvihSGvu3LnBvB7wHUnugPAYezOcCW4nsdW1xAUqzmMV0U/6i/v7bx9WaNQvATh8+DB69OghRGCpuDNjxoyQ59VeSfg8Zd5uuukmVK1a1XCfcZLcPiE372I4EtwpxFbX2vbt29GqVSvRK9L763fffae+7TmmE0Y66CtZsqRQYnn11VeFiKznAQsOli1bJvJptKNASW4LKs87iXAiuBOJreDNeezXX3+N66+/XpCHqqW//fabchvz5s0TPSbn1R06dMM3v+oAABAESURBVMDevXs996w+ePDBB8UHhiMIo4Ikt1FI6ownHAjuZGKrq4O987vvvuvpnalCSz18krpOnTpYvny5+nFbjn/99VcxcuDUwKgQFuTmokfr1q1FhQ0ZMsQobEyPx80Edwux1ZV46NAhdO/eHY0bN8btt9+OyZMna5qPq+Mw85gup+kBltpxRgRXk5vSSY8//rgAhCvR/Orxa0wlA7cE7tW6bRXdjcRWtwfqWFM6bOXKlerLth8TVy7m8eNjxNaYK8lNaSQKFBQrVkxIKbG3psABxROp9C8Jbl47dTuxiQzJzW2uW2+91XFGIWhFl+2X++yhBteR+6uvvsINN9wgeutOnTohMzMzDwaS4HngMPQkHIhNQEjudu3aCRLRPLWTAntsfnioz84OK5TgGnJTSF+xR8VFkBUrVvgtt5rgQ4cO9fuc0244eYgeLsRmnZPc/fr1Q8uWLYVhS7W1FCe0Ca4hsfd+5513QsqOZnLTLtTChda7neG8mkIJV1xxBa666ipQKEGLHqwkeEjtIs/L4URsFozkplw3DRhS2OX555/PU14nnMyePTtkY5GayE0tnJo1a6Jy5cqWlZvz6vfff18QmsRmZbCR6QnhQHCaxaVoop0/9nC+bJ7pqQsnPUt5brYnBhoypHYZreiEW9BEbvo4ov7s6tWrLSn/4sWLhUgehya0RxUK8G4kOEcr3bp1E8NG6i4TBzt/lPT69NNPLal7KxJRk5sjUho0pKtl54UcHPxuEvqm1kMyLeMUjUelWi3RfXgGdpwsWMdeE7m5cEXjb2YHkpggsyFThY9G54wIaoIPGzbMiChNiYOjFeomU0c5Li4O1B2m8AW1nOz6cW2D9UHzvOES1ORmmThCZBmNam/G4HQSG4Y1RXxcNaSNWYhdR88i59xxZK6bieeblUNschpm7Q2sjquJ3Fx8oOytWsuGeq0U19M7VPZVcA77aZCewyPOq9nAKVVkZHA6wWl6hx80NjKu5HIxhce+rGgaiUtBcXH1lvvwtGMWLsGb3FzDYefFn5b1HCtwOL6gG66JrIwnFmXlN1CZvRtjmhZHbP0R2BmA35rITWP7RYsWFfNufuW4AMHehY2Pe820z0zy6A1sOOwROPTkvJqeOmj+1azgRIKzR6bJHWLJdQ1OSRjowYTeTIwQZggVz0cffVToHTshL6GWhe97k5vXFI81dOpoe8jNxAeNohDb6iP4s3CVvbIvkiIS0HOJ/+0yTeRmYTk8q169umiEXFx5+OGHMXPmTDz55JPiGkXn9AQanFcM3tEe1f/+9z89rwf9rFMIzlFQ//79xUIV53wffPCBp9cgiWiAj9J3TgisZ358uLocDsEXuVkuTglpyVSvwUPDMcmagTbRkag7MoBDiOxF6F66CJIGrIM/hVbN5FYKwAUI76HLI488IsT5lGcC/dPAvGKPij2TEfaoAqXn6x4J3rNnT9FgKelmZaD+LmWauR3DbRiOVoipOmzbtk3kbdasWerLth1zgY8yz1Y7jzerwJz6Kavl6jQ4BWLHxRV0O0Pu9iGoGRGN1EDeHnN34M2aEYhuPxv+vKvpJrevQtN4PFfTAwXO0SnzTQPztEdF4RIj7VEFStvXPTsIztEPBXDYC3J7yV9POGrUKPGMmVMUX5gEunbzzTeL6UOgZ9xyzx+5mX9OMfnR9Vc3VpQxd9sbSImIwQNfnPGfXO4PGFzDZHLT8kW1atWEi1JfOeEQk9soXJRho+ZQ0wx7VL7SLuiaVQSnDjF1iVl+6hZnZGQEnEtTw41kclJgo+eH2c4PslF4BCI3pdU4quLH17Y1hmPpaB0diTvG7vXvpy17MXqULoLE/muNG5arAeZiGOcvrHRfGja0R0UD8mzUVLEz2x6VOm9aj80kOHcSaNmDi5FXXnmlWAEviBzcJSCeJJOTAqUTWY+0GuL2EIjcLBvbNcvKj7AtIXcfxjeODrygtuZZVIpIQI/FBiyoeReSBec8jL2MvyEM95TpYN4qe1TeedR6bjTB+cXnIhTdChEjCqQcPHhQU3ZoOIAN65tvvtH0vFUP8UNFH9ovvviiVUmalk5B5GZ7oMZYlSpVLBupcMSgdgF9cmFPVIxMQrf5x3xshe3C6CbFEFtveOhbYb5QpjPx2rVrB1R25/61W5ypG0XwjRs3omHDhoKg/Oe5nsBdB5IoVI0gPWlqfZa7GhyBuT0URG6WjzbX+JEdPny4qcXlAiv1JTgV4HrM5anAKWwY2gRliqWg67il2JN1DudzTuPA5jkYdFd5xCZ3xkwjhFh8lY4eDbt06eLrlmuvhUJw9szsodlTs8fmSvflitIOCcnDD6cTAxs6F069V/edmNdAedJCbr5PyUxOp7SOugKl6esePyA03siPCD+c3CXJG3JwcMUE9GlbF0mlohEZWwaJtVqh5/AM7DRK/DRvghfPOnfuLL429MLIwLni559/jjFjxoh5WTAN21c6Vl/TS3DOodno2QgoMvraa6/hzJkAq5wBCkQj9SSPU0VkN23aJBriF198EaAUzr+lldxcCGWd8qNtZGC8/HCQ1Bz6m7UdHPRWGPcEKaVWqlQpMe9WVsOZYf7o+cGJQ0stlaSF4Px4cd2BlcPysrJYaaEEkoZxbdiwIZRoTHuXQ0iaJ6LgkpuDVnKzjK+//roYjRlRJ/zo8+PPDwa3g9kpFLTAGgrOQZObibIx06wRLUewJ+c+LhdeKKTBHohWJt0aAhGcC4jcKiERCzIcoaf8vXr1EhpKJJFTA00A0xKOm4MecpOQ7LgaNGgQ1DSLOLEj4DRNWWCleyKzhvrqegmJ3OqIvI/Zc3M+4ebgTXDONSlRptebhVYMSJoHHnhA6+O2PDdx4kTxUQt1lGJL5i8lytGHLwk1f3kiMfkh5w6I3qBeYOUHwogRgNY8mEbuu+++W/gy1poRpz6nJjhVMCmeyD1oo03zUMOODWjSpElOhULki/a1mU+u8Lo16CU3e17ufLDn1bqewp6ZPbSywMoPg9XrUIaTm2Tg152FcurCkN5GyTLR0TsNR5ilgkmykDS0o+b0kJycDHrIcGvQS26Wkz0w2zTnzIGCeoGVwkt83gi16EBp+rtnKLk5bFWW9qmTbLROtr9CWHGdBDczcEGOIwM3BH7oSBCzMTELi2DIzbxQdJqE9TUlYa/MVW9lgZXixna6J2J+DSU3C0TRSfpnkkE7AiQJF3moqeaGMGfOHDHK4NaYG0Ow5KbHEm55sp2rA/entVrmVb9n9rFh5KYaKL9qL7zwgtl5Drv46T6GQ3JavHRDUPbjzZbeMguLYMnN/CgWcrgzRL3v3r17exZYneaeyDByc1jCVWQqSsigDwE2GM7nbDcSoCPbdevWFS5ydbzimEdDITfn1NTsa9asmTDswAXW5557Lo8JMqcU1DBys0Dc/uLw8ttvvxXzbc5BOPcmEBQGoKy5DPkR4J45yeKm8PLLLwsZ+L/++stN2RZ5DYXcjIBeb+jPi+2dZrKcGgwlNxcQKHPOIabyo653kyZNhI20m266ybaVQ6dWAMnB6YzbtK1o6411vHTpUqdC6zdfoZKbo1Qnqi97F9hQcjNyipxy7kiTvAsWLPDs7VEPmFJr7733nnceCvU5dxgoUEGbcm4K3AmhcUwneusoCMdQyV1Q/E65bzi5AxWMpnvDyURuoLIWhnt0YE/xW7cFSW6Da4w9FLfJuPggQ3ggoNh6owFFN4VatWq5Wu9BK9aW9Nzcx+WCEbVhzJLw0lpge5/T6h7mAo5OuRex0fUxfLcPJZLspehV8QqU72m9Y0Y1fjRHzXm3Eb6k1fHKY2MQsITczCo9ioSD/a3gYdfjHsYd5ObCkpPsq7NuqOTB3RlaCaKW3eHDh/1WGUeTn3zyCaZNmwbFLoHfh114wzJyuxAbQ7Oszz2MO8hNgBSxWRLd7sBFXI4kKAJNKTIu+FEclEI33oFeU3lf2dXhcXp6uvdj4jwzM1PI0lM6jd5x2FG5YQtQkttndRp8Ubd7GPeQm70eCRLMdItmsadPn44JEyZg586dIYFOGQqSj3YFlEDJPwpWeSswMV0+26hRI2GUkJpuXByk7bpffvlFeV38M17qcyuLcPS0w10fN5gYk+TOU5Umneh2D+MecpMYtLHuy7R1IDRXrVqFcuXKeXpOEmbw4MGBXvHcox38jz76yHPOA0WE19tqLGUrvHXkaY2XH6Tt27d74qCKJq95+wobO3askB5Uu7uiQw0+a7diiCfzfg4kuf0AY+Rl/e5hLpFbJQzExpT3F2n7glqwGFGEk2qjFHii0gU9q/To0UOUj6adCwp9+/YV5r3UZrw4AiA+W7ZsyfM6t+ooJakOyiq/WhWTi74UAebQXh0oO063V+pAV9M0fawlr+r3rD6W5LYAcf3uYdzTc3vDxx6cOyP02krLMnRw6B1ojYREVGsP0jc5fch597ze7/Kc2mgcbtNmPkcA//73v4WxTl9eWp555hkxt1ZIzyE5XfWSnN6BIwn1sJ7rCLfddpsw1OD9rBvOJbmtqCXd7mHcSW4OjUlqkof28ziPJYm9pRJXr14trivuioOpgo8//lj4jFdGMxx++xomc7itWNChrT8a9eSWLM0KewfmmfHRACSlLDmc53kw5pW847bjXJLbCtR1u4dxHrl37NgBOnwcNGiQ3/k1V87pYUbtiKJ9+/bC6KN6NZ33SRrOZ0MJNHW1ZMkSIeetjt87Tmrb0SLK/fffL7bH/C3eMQ6K05L8zB/d+Y4ePdo7OtecS3JbVFX63MM4i9ycz8bExIjVZKXh+1J04XA8NTU1D6KKYQfqPytB8ebhVOEXfnx++uknV2x3KZj6+pfk9oWKKdf0uIdxDrm52EUb2xxis6ekwkifPn1Ez8bhtTpwvlq1alX1JaFIRM1Ausuhf2/21pzbckEtnMxw5Sm0Q04kuS2tCK3uYZxDbuouc4jK+bQSSErqCXhb3XnkkUd82oFjL6h4e2VctCTqa36sxC//jUFAktsYHMM2lvnz5wtye+svc7GJi1OKo0MOtSnlRScV/gJ7fjdZm/FXDrdcl+R2S01ZlE8Ow9VBsVNOwQ91OHDggBhasyeOj48XHwBqW9GIoAzOQECS2xn14IhcKJJb3DtWwtSpU33Or3mfBvppo75///7CSYFaKER5X/7bh4Akt33YOy5lkrV69epiuE29ewqAUN6aWlYyuA8BSW731ZmpOd63b58Q3qBiRcmSJYUhftkjmwq5aZFLcpsGrYxYImAvApLc9uIvU5cImIaAJLdp0MqIJQL2IiDJbS/+MnWJgGkISHKbBq2MWCJgLwKS3PbiL1OXCJiGgCS3adDKiCUC9iIgyW0v/jJ1iYBpCEhymwatjFgiYC8Cktz24i9TlwiYhoAkt2nQyoglAvYiIMltL/4ydYmAaQhIcpsGrYxYImAvApLc9uIvU5cImIaAJLdp0MqIJQL2IiDJbS/+MnWJgGkI/D9FjiP7HMF5xwAAAABJRU5ErkJggg=="></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«drug» blocks/inhibits «viral» enzyme/neuraminidase/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>NA</mi></math> «activity» ✔</p>
<p>prevents virus from leaving/escaping host cells «thus cannot infect other cells» ✔</p>
<p><br><em>Do <strong>not</strong> accept other anti-viral methods (as question is specific to Zanamivir).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="339" height="215"> ✔</p>
<p><em>Accept a circle that does not surround the amido group.</em></p>
<p><em>Do <strong>not</strong> accept a circle that only surrounds the phenol group.</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>bacterial resistance «to older penicillins/antibiotics» ✔</p>
<p>prevent penicillinase/beta-lactamase/enzyme in bacterium to deactivate/open penicillin/beta-lactam ring ✔</p>
<p><br><em>Accept “antibiotic resistant bacteria” but <strong>not</strong> “antibiotic resistance” for M1.</em></p>
<p><em>Accept “reduce allergic reactions from penicillin” for M2.</em></p>
<p><em>Award <strong>[1 max]</strong> for “increased efficiency” <strong>OR</strong> “increased stability in GIT”. </em></p>
<p><em>Do <strong>not </strong>accept “bacteria develop tolerance”.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>codeine less soluble «in water» than morphine <em><strong>AND</strong></em> more soluble than diamorphine<br><em><strong>OR</strong></em><br>morphine > codeine > diamorphine «in terms of solubility in water» ✔</p>
<p>more/stronger/greater <span style="text-decoration: underline;">hydrogen/H bonding</span> «due to more hydroxyl groups leads to greater solubility» ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>opium poppy/plants/seeds ✔</p>
<p><em>Accept “poppy” <strong>OR</strong> “opioid”.</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="252" height="212"></p>
<p>any two chiral carbons identified ✔</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>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.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most were able to circle the side-chain in penicillin. Common errors included circling only the phenolic group, the four-membered ring or the five-membered ring.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question was well answered though many lost M1 for stating "antibiotic resistance" instead of mentioning "bacterial resistance".</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Only the better candidates were able to state and explain the relative solubility of codeine in water compared to morphine and diamorphine. The majority scored M1 for the correct order of relative solubility. Few gave a comprehensive explanation outlining that there is greater hydrogen bonding due to more hydroxyl groups, which results in greater solubility.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The natural source from which codeine, morphine and diamorphine are obtained had to be stated. Most scored the single mark here for "poppy". Common errors included "willow tree" or "opium" alone, which was not deemed sufficient to score the mark.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The idea of a chiral carbon was very well understood and nearly all scored the mark for identifying any two chiral carbons in Taxol.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Nuclear radiation is dangerous because of its ability to damage cells but it can also be used in nuclear medicine.</p>
</div>
<div class="specification">
<p>Iodine-131 is released in nuclear explosions but is used in scanners for thyroid cancer. The half-life of iodine-131 is 8.02 days.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Yttrium-90 is used in treating certain cancers.</p>
<p>Formulate a nuclear equation for the beta decay of yttrium-90.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Lutetium-177 is a common isotope used for internal radiation therapy.</p>
<p>Suggest why lutetium-177 is an ideal isotope for the treatment of certain cancers based on the type of radiation emitted.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the rate constant, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda ">
<mi>λ</mi>
</math></span>, in day<sup>−1</sup>, for the decay of iodine-131 using section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the time, in days, for 90% of the sample to decay.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A breathalyser measures the blood alcohol content from a breath sample. Formulate half-equations for the reactions at the anode (negative electrode) and the cathode (positive electrode) in a fuel cell breathalyser.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><sup>90</sup>Y → <sup>90</sup>Zr + β<sup>–</sup></p>
<p> </p>
<p><em>Accept β, e or e<sup>–</sup>.</em><br><em>Accept <sup>90</sup>Y → <sup>90</sup>Zr + β<sup>– </sup>+ v</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>beta-radiation/emission <em><strong>AND</strong></em> targets tumour/cancer cells<br><em><strong>OR</strong></em><br>beta-radiation/emission <em><strong>AND</strong></em> limited damage to healthy cells/tissues<br><em><strong>OR</strong></em><br>beta-radiation/emission <em><strong>AND</strong></em> produces «small amount of» gamma-rays «for visualizing tumours/monitoring treatment»</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda \left( { = \frac{{\ln 2}}{{{t_{\frac{1}{2}}}}} = \frac{{0.693}}{{8.02{\text{ }}day}}} \right) = 8.64 \times {10^{ - 2}}/0.0864">
<mi>λ</mi>
<mrow>
<mo>(</mo>
<mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi>ln</mi>
<mo></mo>
<mn>2</mn>
</mrow>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mn>0.693</mn>
</mrow>
<mrow>
<mn>8.02</mn>
<mrow>
<mtext> </mtext>
</mrow>
<mi>d</mi>
<mi>a</mi>
<mi>y</mi>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mn>8.64</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>2</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mo>/</mo>
</mrow>
<mn>0.0864</mn>
</math></span> «day<sup>−1</sup>»</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em><br>«<em>N</em><sub>0</sub> = initial amount = 100%»</p>
<p><em>N</em> «= 100 – 90» = 10% at time <em>t</em></p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ln \left( {\frac{{100}}{{10}}} \right) = 2.303 = 0.0864t">
<mi>ln</mi>
<mo></mo>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mrow>
<mn>100</mn>
</mrow>
<mrow>
<mn>10</mn>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mn>2.303</mn>
<mo>=</mo>
<mn>0.0864</mn>
<mi>t</mi>
</math></span>»</p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="t = \frac{{2.303}}{{0.0864{\text{ da}}{{\text{y}}^{ - 1}}}} = ">
<mi>t</mi>
<mo>=</mo>
<mfrac>
<mrow>
<mn>2.303</mn>
</mrow>
<mrow>
<mn>0.0864</mn>
<mrow>
<mtext> da</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>y</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
</math></span>» 26.7 «days»</p>
<p> </p>
<p><em>Accept 26.6 or 27 «days»</em><br><em>Award [2] for correct final answer.</em></p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em><br>«N<sub>t</sub> = N<sub>0</sub>(0.5)<sup>n</sup> where n = number of half-lives»</p>
<p>10 = 100(0.5)<sup>n</sup></p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\log \left( {\frac{1}{{10}}} \right) = n \times \log \,0.5">
<mi>log</mi>
<mo></mo>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mrow>
<mn>10</mn>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>n</mi>
<mo>×</mo>
<mi>log</mi>
<mspace width="thinmathspace"></mspace>
<mn>0.5</mn>
</math></span>»</p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - 1 = n\left( { - 0.301} \right)/n = \frac{1}{{0.301}}">
<mo>−</mo>
<mn>1</mn>
<mo>=</mo>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mrow>
<mo>−</mo>
<mn>0.301</mn>
</mrow>
<mo>)</mo>
</mrow>
<mrow>
<mo>/</mo>
</mrow>
<mi>n</mi>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>0.301</mn>
</mrow>
</mfrac>
</math></span>»</p>
<p>«<em>t</em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{1}{{0.301}} \times 8.02 = ">
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mn>0.301</mn>
</mrow>
</mfrac>
<mo>×</mo>
<mn>8.02</mn>
<mo>=</mo>
</math></span>» 26.6 «days»</p>
<p> </p>
<p><em>Accept 26.7 or 27 «days»</em></p>
<p><em>Award [2] for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Anode (negative electrode):</em> C<sub>2</sub>H<sub>5</sub>OH + H<sub>2</sub>O → CH<sub>3</sub>COOH + 4H<sup>+</sup> + 4e<sup>–</sup></p>
<p><em>Cathode (positive electrode):</em> O<sub>2</sub> + 4H<sup>+</sup> + 4e<sup>–</sup> → 2H<sub>2</sub>O</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Targeted Alpha Therapy (TAT) is a technique that involves using alpha-radiation to treat leukemia and other dispersed cancers.</p>
</div>
<div class="specification">
<p>Yttrium-90 and lutetium-177 are used in radiotherapy.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why alpha-radiation is particularly suitable for this treatment.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how the alpha-radiation in TAT is directed to cancer cells.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the type of radiation emitted by these two radioisotopes.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State an equation for the one-step decay of yttrium-90.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The half-life of lutetium-177 is 6.75 days. Calculate the percentage remaining after 27 days.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>more damaging than other radiation types<br><em><strong>OR</strong></em><br>very damaging to «cancer» cells<br><em><strong>OR</strong></em><br>high ionizing density «of alpha particles»</p>
<p>absorbed within a very short range of emission<br><em><strong>OR</strong></em><br>causes little damage to surrounding tissues</p>
<p> </p>
<p><em>Accept “high ionizing power «of alpha particles»” for M1. </em></p>
<p><em>Accept “low penetrating power «of alpha particles»” for M2.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«radioactive isotope/radionuclide/alpha-emitter» administered using carrier drug/protein/antibodies</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>beta/β «radiation»</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{39}^{90}Y \to {}_{40}^{90}Zr + \beta ">
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>39</mn>
</mrow>
<mrow>
<mn>90</mn>
</mrow>
</msubsup>
<mi>Y</mi>
<mo stretchy="false">→</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>40</mn>
</mrow>
<mrow>
<mn>90</mn>
</mrow>
</msubsup>
<mi>Z</mi>
<mi>r</mi>
<mo>+</mo>
<mi>β</mi>
</math></span></p>
<p> </p>
<p><em>Accept "</em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{ - 1}^{\;\,0}e/e/{e^ - }">
<msubsup>
<mi></mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mrow>
<mspace width="thickmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mn>0</mn>
</mrow>
</msubsup>
<mi>e</mi>
<mrow>
<mo>/</mo>
</mrow>
<mi>e</mi>
<mrow>
<mo>/</mo>
</mrow>
<mrow>
<msup>
<mi>e</mi>
<mo>−</mo>
</msup>
</mrow>
</math></span><em>" <strong>OR</strong> "</em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{ - 1}^{\;\,0}\beta /{\beta ^ - }">
<msubsup>
<mi></mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mrow>
<mspace width="thickmathspace"></mspace>
<mspace width="thinmathspace"></mspace>
<mn>0</mn>
</mrow>
</msubsup>
<mi>β</mi>
<mrow>
<mo>/</mo>
</mrow>
<mrow>
<msup>
<mi>β</mi>
<mo>−</mo>
</msup>
</mrow>
</math></span><em>"</em></p>
<p><em>Accept ECF from (b) (i) if incorrect radiation identified, eg, </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{39}^{90}Y \to _{37}^{86}Rb + _2^4He">
<msubsup>
<mi></mi>
<mrow>
<mn>39</mn>
</mrow>
<mrow>
<mn>90</mn>
</mrow>
</msubsup>
<mi>Y</mi>
<msubsup>
<mo stretchy="false">→</mo>
<mrow>
<mn>37</mn>
</mrow>
<mrow>
<mn>86</mn>
</mrow>
</msubsup>
<mi>R</mi>
<mi>b</mi>
<msubsup>
<mo>+</mo>
<mn>2</mn>
<mn>4</mn>
</msubsup>
<mi>H</mi>
<mi>e</mi>
</math></span></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>ALTERNATIVE 1:</strong><br>«4 half-lives»<br>6.25 «%»</p>
<p><strong>ALTERNATIVE 2:</strong><br>«<em>N<sub>t</sub></em> = <em>N<sub>0</sub></em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\left( {0.5} \right)^{\frac{t}{{{t_{1/2}}}}}} = 100{\left( {0.5} \right)^{\frac{{27}}{{6.75}}}} = ">
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mn>0.5</mn>
</mrow>
<mo>)</mo>
</mrow>
<mrow>
<mfrac>
<mi>t</mi>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mn>1</mn>
<mrow>
<mo>/</mo>
</mrow>
<mn>2</mn>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</mrow>
</msup>
</mrow>
<mo>=</mo>
<mn>100</mn>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mn>0.5</mn>
</mrow>
<mo>)</mo>
</mrow>
<mrow>
<mfrac>
<mrow>
<mn>27</mn>
</mrow>
<mrow>
<mn>6.75</mn>
</mrow>
</mfrac>
</mrow>
</msup>
</mrow>
<mo>=</mo>
</math></span>» 6.25 «%»</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.iii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iii.</div>
</div>
<br><hr><br><div class="specification">
<p><span class="fontstyle0">Aspirin is formed by reacting salicylic acid with ethanoic anhydride. The structure of aspirin is given in section 37 of the data booklet.</span></p>
<p><span class="fontstyle0"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcQAAAChCAYAAABZEc9CAAAgAElEQVR4Ae2dB3QUVRfHk8VlCVgoRhAIXwLphSJJ6L0YIiUBBIlgwSTSRIooRURAmoAU6UqRUKRIRylSRSCioAKhBBQDhBISkgBhN5vd/3fuJJtsstkWdjc7y51zcjI78+bNfb/3Zv7z7mtO4I0JMAEmwASYABOAEzNgAkyACTABJsAEwILIhYAJMAEmwASYABHgGiKXAybABJgAE2ACLIhcBpgAE2ACTIAJ5BLgGqLIS0L2rV+wdFgEQt0rw6VsOVSuFYQO0TOwPSETapGnjc1nAkyACdiSAAuiLWlb+F6Zp6ahdWUX+ETNw76LKcjKliM9KR7rPm6DqjJ3RK2/BqWF78nRMQEmwAQclQALolhzNn0P+leXwGPAfqTpVAUVuDSvNSrIGmHWBZZEsWYx280EmIBtCbAg2pa3he6mQtLC5igj64gVt3XUMPceimMY5uYM19gDyLLQXTkaJsAEmIAjE2BBFGXupmFtZykkwbORqNKXAAX2R1eEk9soxOfoC8PHmQATYAJMQEOABVFDQkz/VecxOdAZ0oiNyNRrtwoJXwTCWdodmx7oDcQnmAATYAJMII8AC6IYi4LqLCb6OqNszy14pNd+Fc5NCmBB1MuHTzABJsAEChNgQSzMQyS/UhEXLoWkyXxcM+Ay/TmmIpxqjsRJdpmKJF/ZTCbABEqTAAtiadIv8b1VuL6oJaQGO9WcwIhaznCN+Zk71ZSYM1/IBJjA00SABVGsuZ25D7E1JHDr/xNSdTqaKnBxbiuUl4ViBg+7EGsOs91MgAnYmAALoo2BW/J2D05NRatK5eHbdwEOJqZBrszGw+Qz2Dy+ParJ3NFnHQ/MtyRvjosJMAHHJsCCKPL8zb51FIuHdkWw2wuQSmSoVDMIHWNnYPsFnrpN5FnL5jMBJmBjAiyINgbOt2MCTIAJMAH7JMCCaJ/5wlYxASbABJiAjQmwINoYuKVud+7cORw+fNhS0XE8TIAJMIGnngALokiLwKuvvgonJyckJycLKfjvv/+QlpYm0tSw2UyACTCB0ifAglj6eVAiCypVqoTnnnsu/9o+ffrA19c3/zfvMAEmwASYgHkEWBDN42UXoakmSLXDVq1aCfao1Wq89NJLGDRokF3Yx0YwASbABMRIgAVRhLk2depUQRAXLVokWP/nn38Kv7ds2SLC1LDJTIAJMAH7IMCCaB/5YJYVISEhggA+fvxYuG7mzJkoU6YM0tPTzYqHAzMBJsAEmEABARbEAhai2XNxcUHVqlXz7aUONo0bN87/zTtMgAkwASZgPgEWRPOZleoVFy5cEGqHPXr0EOyQy+UoX748xo8fX6p28c2ZABNgAmInwIIoshwcOnSoIIg7d+4ULD948KDw+8iRIyJLCZvLBJgAE7AvAiyI9pUfRq3x9vaGRCLJDzdmzBg8++yzyM7Ozj/GO0yACTABJmA+ARZE85mV6hXUeaZOnTr5NgQHB+O1117L/807TIAJMAEmUDICLIgl41YqV+3du1dwjw4YMEC4f2pqqlBbnDNnTqnYwzdlAkyACTgSARZEEeVm7969BUH8+++/Bas3bdok/KZ5TXljAkyACTCBJyPAgvhk/Gx69csvvwyZTJZ/z9jYWFSvXj3/N+8wASbABJhAyQmwIJacnU2vVCgUQm3wlVdeyb9v7dq10a9fv/zfvMMEmAATYAIlJ8CCWHJ2Nr3y/v37iIiIwKpVq4T7Xr16VRDI1atX29QOvhkTYAJMwFEJsCCKNGdv3ryJTz/9FLdv3xZpCthsJsAEmIB9EWBBtK/8YGuYABNgAkyglAiwIJYSeL4tE2ACTIAJ2BcBFkT7yg8da+RJB7FoeARCa7uivFSKCtUC0PH9uThwQ6ETlg8wASbABJhAyQmwIJacnZWvVCPt8Cg0qFAZzUaux6kbD6BUZSPj6iHMiXBDmSphWHqJRdHKmcDRMwEm8BQRYEG008xW39uCN16UImB0PB4VtVH+O8b6SuDSbhmuq4qe5N9MgAkwASZQEgIsiCWhZvVrVLg6pxEksnCsTlEXczc17hxZhZU7zyKNBbEYPnyICTABJmA+AdELYkJCAqZOnYpr166Zn3q7vSIVceFSSEK+QiILnt3mEhvGBJiAYxEQrSCmpaXhww8/BK3+0LJlS5QrV05YJPfhw4fizyFVAqYEOUMauRGZ4k8Np4AJMAEmIAoCohNEpVKJRYsWoUqVKpBKpfj4449Bs7a8//77wsoPNWrUwNq1a6FWF+dqFEWeAKpLmFbfGdKIDSyIIskyNpMJMAHxExCVIB44cABBQUHClGVdu3bF5cuXC+XAn3/+iVatWgnnmzZtilOnThU6L54fmdgUKYMkeJZ+l2m2HAp2p4onS9lSJsAE7J6AKASRaoCRkZGC0Pn7+4PWBdS3Uc1w8+bN+N///ieEf+edd5CcnKwvuF0dL3D3qnFjSWtIZWH47m5xNV01bi5tAxfXHlh3u7jzdpUsNoYJMAEmIAoCdi2ImZmZGDNmDMqWLYuKFSti/vz5yM7ONglsVlYWvvjiC5QvXx7PPvsspk+fDrlcbtK1tg5048YNYdUKPz8/0KoWwpa2DVFVyiBgzG/IKmpQVjxG+zqjXJsl+cMuVCqV8NGwZs0acbuLi6aVfzMBJsAEbETALgWRXu60qkO1atWEdsFBgwYhJSWlREg0YuPk5IQ6depg69atdiMYxYl2viBCjbu7Y+Apq4Lmw+NwIikDCqUc987vxIT2rpC4dsbyRGU+E+LTokULoVbcuHFjxMfH55/jHSbABJgAEzBOwO4E8fjx4wgJCRFe7G3atIFmdXjjSTEc4sSJEwgNDRXibdeuHc6ePWv4Aiue1bh13d3djbh1VUj/aw3G9GqKOlVcIHEqgwovByJs0AIcuaVbU6Z4N2zYgFq1agnxvv3226JxF1sRN0fNBJgAEzCJgN0I4vXr1/Hmm28KL3IPDw9s2bLF4jU5qnl+9913+TXPwYMH4969eyaBslQg6vjTunVrIZ1Uk/vtt98sFXV+PFTznDRpElxcXAR3MY3TfPz4cf553mECTIAJMAFdAqUuiPTynjx5stDWV6FCBWGQvbVf3tptk5UqVTKrbVIXoWlH7t69mz80pHr16rBFW19SUhKioqKs+pFhWuo5FBOwVwLZuPXLUgyLCIV7ZReULVcZtYI6IHrGdiRkOlCHtexb+GXpMESEuqOyS1mUq1wLQR2iMWN7AhwpmU9aykpNEMm9t3HjxvzeoG+99RZo0VtzN4qHOsvQf3M36r3avXt3QTCo9+q+ffvMjcJoeOoENGfOHLzwwguQyWTCor4PHjwwep0lA/z6668IDg4W0klu6L/++suS0XNcTECkBDJxalprVHbxQdS8fbiYkoVseTqS4tfh4zZVIXOPwvprBe30Ik0kkHkK01pXhotPFObtu4iUrGzI05MQv+5jtKkqg3vUejhCMi2RP6UiiGfOnBFml6GOLo0aNcLJkyeNpuXRo0c4duwY5s6dK7hWfXx8hNlpKA76c3Z2FlyEgYGBoKEWCxYsEDqWmNKzlMY30nUUD41vTExMNGqPKQF+/PFH+Pr6CvH27NkT//zzjymXWSUMuYtXrlyZ7y4eOHBgiTsqWcVAjpQJ2JhA+p7+qC7xwID9adD5nFZcwrzWFSBrNAsXRK2J6djTvzokHgOwP00nlVBcmofWFWRoNOsCRJ1MC5UdmwrinTt3EBMTI4jXyy+/jNWrV4Ne1Ia2P/74QxA4mppNI3wkhtTeOHHiRMycORPz5s3Dl19+ic8//xy9e/dG7dq1hbAU/rnnngO1FV64cMHQbaCZAady5cr5M+BkZGQYvEbfyYsXLyI8PFywoW7dujh06JC+oDY/Tu7i0aNH5w9loQ+MQrVrk10raqQs7wSZtBFmXMrRTYfiIAbVeAbVYi1f69a9GR9hAmYSUCVhYfMykHVcAX1DeRXHhsHN2RWxB3QGPpl5s9ILrkpaiOZlZOi44rau6AtmKXBsmBucXWMh4mRaDLBNBJGGEsyePRvPP/+84DYcN24cDLkN6QW9fv16NGnSRBAVEqlRo0bh4MGDMFWkUlNThQH8JIYkiiSO1Lt0586dBuHRdUOHDhXmSK1atSqWL19uVLQ1Ed6/fx8jRozAM888I0wtt2TJEuTkFCMWmgtK8f+VK1cQEREhuIzzzTDLtcKCmM+Nd8RHIG0tOkslCJ6dCL2f5Ir9iK7oBLdR8bDPp9g49rS1nSGVBGO2gVUCFPujUdHJDaPixZpK4xxMDWFVQSRh27VrF7y9vQVB6tGjh1G34b///gtq5yIBa9CggSBI1PHmSTaqFX399degmiXFS0Jw+/Ztg1GeP38eHTt2FMI3bNhQcNfqu4BEb+nSpXB1dRXEcNiwYaDJx8WwFbiUzXWtsCCKIX/ZxuIJqM5PRqCzFBEbDUyfr0rAF4HOkHbfBNu2+hdvs/lHVTg/ORDO0ggYTuYXAovum8SZSvO56L/CaoJIyzKFhYUJgkLzj1LtzthGokK1uRdffFHocGMsvLnnSaC/+eab/HvQmD1DG4WnGqWnp6eQjj59+oB6bmpvhw8fRr169YTzr776KijdYtzMd62wIIoxn9nmXAKqsxPh61wWPbfoLL9dgEh1DpMCxC2IZyf6wrlsTxhO5iQEOEvBgghYXBA1yzJp3IaLFy8W2ucKSpnuHtVSunXrJogKzVlKbY3W3GjtxLZt2wr369+/v1GXKNlHbZUk1jS2j9oqqU3y9ddfF+Lw8vISasIkoGLdzHetsCCKNa/ZbgCpcQiXStBk/jUDLtOfEVPRCTVHnhStyzQ1LhxSSRPMv6bXMQzFzzGo6FQTI0+yy9SigkjuThpsTmsU0lqFprgNSWw6deokuBpXrFhhs2eVxItEjnqn9u3b16gokmHkZn3vvfeEa5o1aya0ic6aNatg/lGbWW/pG5XEtZIniHm9fMkVrfsn4U41ls4qjs8yBFTXsail1HCnmhMjUMvZFTE/P1mTjWUMLlksquuL0FJquFPNiRG14OwaAxEns2RwirnKooJIs7DQS3HTpk3F3Er3kLYYGnNf6l5tmSMLFy40SxTprsuWLRM6BxnruWoZC20Riwrmu1a4hmiLnOF7WI9A5r5Y1JC4of9Pqbo9MBUXMbdVechCZ4h82EUm9sXWgMStP35K1fVgKS7ORavyMoTO4GEXVNKsIoi7d+82WoqphtalSxehZlhaYqgxUiOKVPszZaPhIiT8t27dMiW4KMKY71phQRRFxrKRBgg8wKmprVCpvC/6LjiIxDQ5lNkPkXxmM8a3rwaZex+sc4QR6w9OYWqrSijv2xcLDiYiTa5E9sNknNk8Hu2ryeDeZx0PzM8rJaUmiDRwnkSF5ha1h23GjBmCPbSWorHNEQXRfNcKC6KxcsLnxUAgG7eOLsbQrsFwe0EKiawSagZ1ROyM7bjgSHOaZd/C0cVD0TXYDS9IJZBVqomgjrGYsf0CT92mVUxLRRBpDBzNW9qrVy8tU0p3l2qsNOk2DZ2geUcNbY4oiIC5rhUWRENlhM8xASYgPgI2F0SamaZ58+agQe+2XmnCWPbQ1Gq0mDDNb2poc0xBBGCWa4UF0VAZ4XNMgAmIj4DNBZFmfiFX6bZt2+ySFs0uQ/bRPKT6NocVREqwya4VFkR95YOPMwEmIE4CNhdEGsROQxbsdSPXKY0rpEH2+jaHFkR9iebjTMBBCdDaoTT8iib5p23v3r2oWLEiaE5iR9po6koaEqfZpk2bhpo1a2p+8n9b9zI9evSoUPuieUrteaPlmugBuXz5crFmsiAWi4UPMgFREhg7dqzwXtqzZ49gP003SV4imr7RkbamTZsK6dKk6bPPPhP6cmh+838bD7ugTjS0ygWtEWjPW3p6ulBQaHKB4jYWxOKo8DEmIE4CLIjizDdrWG0zlyl1oKHp3GjaMzFsAwYMEBb1LU68WRDFkINsIxMwjQALommcnoZQNhNEGqxPbgha31AMm8Ztcvr0aR1zWRB1kPABJiBaAiyIos06ixtuM0GkmqFMJrN7d6mGMM1bSgJOK3AU3VgQixLh30xAvARYEMWbd5a23GaC2LlzZ4SEhFjafqvG5+bmhpiYGJ17sCDqIOEDTEC0BFgQRZt1FjfcZoJInWkGDhxo8QRYM0Jaiqp+/fo6t2BB1EHCB5iAaAmwIIo26yxuuE0EkVa8J/fj/PnzLZ4Aa0Y4btw4YYmnovdgQSxKhH8zAfESYEEUb95Z2nKbCGJqaqogiDRLjZi2KVOmQCqV6pjMgqiDhA8wAdESYEEUbdZZ3HCbCGJycrIgiHFxcRZPgDUjpMV/qWZLs9dobyyI2jR4nwmImwALorjzz5LW20QQaQwiCQvXEC2ZdRwXE2ACliDAgmgJio4Rh00E8dGjR4Igfv3116Ki9umnn+K5557TsZlriDpI+AATEC0BFkTRZp3FDbeJIJLVL730EoYMGWLxBFgzwp49eyIoKEjnFiyIOkj4ABMQLQEWRNFmncUNt5kgdurUCY0bN7Z4AqwZobu7O/r3769zCxZEHSR8gAmIlgALomizzuKG20wQx48fDxcXFyiVSosnwhoRpqSkCG7eRYsW6UTPgqiDhA8wAdESoFUu2rZti8TERCEN9J+WhKJ3gCNttIpPeHh4fpKOHDmC6dOn5//mHRuudrFjxw5BYP78809RcP/pp58Ee0+dOqVjLwuiDhI+wASYABMQPQGb1RDv3LkjLE45depUUUD74IMPhCWgFAqFjr0siDpI+AATYAJMQPQEbCaIRKpbt26oVasWcnJy7BrcgwcPhBlqaAmo4jYWxOKo8DEmIE4C8qSDWDQ8AqG1XVFeKkWFagHo+P5cHLih+zEszhTmWv20pPNJ8simgvjzzz8LbsgffvjhSWy2+rULFy4U7Dx37lyx92JBLBYLH2QCIiOgRtrhUWhQoTKajVyPUzceQKnKRsbVQ5gT4YYyVcKw9JIjiOLTks4nL342FUQy18/PD23atHlyy60Yg7+/v0EbWRCtCJ+jZgI2IqC+twVvvChFwOh4PCp6T/nvGOsrgUu7ZbiuKnpSXL+flnRaIldsLojUa5Nmrdm7d68l7Ld4HBqx27p1q964NWFu3bqlNwyfYAJMwJ4JqHB1TiNIZOFYnVJ4asZcq9W4c2QVVu48izRRC+LTkk7LlDWbCyINuwgODkbNmjWRnp5umVRYKJYbN26gYsWKoDGThjYWREN0+BwTEAOBVMSFSyEJ+QqJohY8Y6yflnQa42DaeZsLIpl1/vx5yGQyvPPOO6ZZaaNQYWFhgiCSMBraWBAN0eFzTEAEBFQJmBLkDGnkRmSKwNwSm/i0pLPEgApfWCqCSCZ8+eWXgut08+bNhS0qpV+ajjQkdsY2FkRjhPg8E7BzAqpLmFbfGdKIDQ4uiE9JOi1U3EpNEFUqFdq1ayfUFHft2mWh5JQsGhI4iUSCN954w6QIWBBNwsSBmIAdE8jEpkgZJMGz9LtMs+VQiN6d+rSk0zJFzSqCaKhDirbZDx8+RKtWrUpVFDViGBkZiezsbG3z9O7TMlZlypTB1atX9YbhE0yACdgzATVuLGkNqSwM390tvlPNzaVt4OLaA+tuF3fentOmbdvTkk7tNJd836KCSAJBE3hT+yAtnUSCZ2zTFsVNmzYZC27R80uWLBFqhqaK4f379zFs2DBBDFu2bIkXX3wRS5cutfuJBiwKjSNjAiIlQB+8GzduLFjwO20boqqUQcCY35BVNE1Z8Rjt64xybZYUGnaRlJRUcH3Ra+zkd1paGgo1RZUgnU9rD3qLCiKVBwL57rvvwtnZGTVq1MCaNWuMFiASRXKf0nCMt956CyQ81txu376Nrl27Cvd7/fXXjdYMaWYdEk8SQKlUipEjR+K3337Dq6++KsRRr149HD582Jomc9xMgAk8AQGam9jX11d4Xo8fP54Xkxp3d8fAU1YFzYfH4URSBhRKOe6d34kJ7V0hce2M5YkFixFkZWUJM201bdoUxc1x/ATmWeRSek8tXrwYVapUQbly5UDTZeZu5qWTOhU+++yz6NOnD+gD4GnaLC6IGnhUYKjgkMg1adJEEBDNueL+U5vizJkzhYwkIaUCbI3t+++/FwrM888/j2+//dboLQ4dOoS6desK6ejcuTMuXbqUf41arQa1f3p5eQnnSVyvXbuWf553mAATKF0C9Ly+9tprwvMZGBgImi2r8KZC+l9rMKZXU9Sp4gKJUxlUeDkQYYMW4Mitwk0o9LzT+8PNzU2Ij3rJJycnF46ulH4dPHgw/z1FK1pcvHixiCWmp/Px48eYNm2aMJczrVA0ceJE0CLvT8NmNUEkeFSA1q1bJ4w5JGE0pQAlJCQgJCREKHDkliQXx5MuGSWXy7Fq1Sph/CPZQbXR//77z2D+/vPPP+jRo4dgB31ZGhJomgB81qxZwvyn9GVGS12Z4i42aACfZAJMoMQEaIwzeXLIo0M1JpoQ5EnfIxpjSBw+//xzYTk7qknREkr0jimNTfs95ePjg927d1vMDBJ7emfTO5M+AuhjgN7pjrxZVRA14EgcJkyYINT+qADR1wd9hejbqOpPbXP0RUeZQTXGyZMn4/fffzfq3tTESfGfOHECtPinq6urEA8JrTEXLk3sPW7cOKEd9IUXXsDcuXNNvie5KGJiYvLdxWvXrnX4AqThzf+ZgD0QoHfHsmXLhGf+mWeewYcffghqU7PGRu5EcivSO6p27dqgzoS2Eoyi76mvvvoKxa3MY4l0U/MQefkonc2bNxfew5aI1x7jsIkgahJOtbLevXubVYDIZUk1NSrclCHUYYdmuqGVKGjBS2rbW7lypfCfCkV0dDSoTU87fL9+/RAfH68xo9j/5LKNi4tD9erVhY42FP/du3eLDWvs4OnTp9GiRQvBXnttbzCWBj7PBMRGgBa8rV+/vvDcUfs+eZtssR07dgwNGzYU7kvep7Nnz1rttvSeop7x9J6ifhrvv/9+id9T5hhJQk8f+DTDGN33vffeA/XFcLTNpoKogXf06FE0aNDArAJ07949wW1JK1lTh5iXX35ZuJ5EUvuPlpciAaVa6P79+02aHo7EknrHUjytW7fGX3/9pTG1xP+pAG3YsEFohKcCRB2NntaeWyWGyBcyARMIULt9r169hOfX29tbaNe3VU1NYx4J1YoVK1C1alXhg3rQoEGgd5Ylt5MnT6JRo0ZCOmm42pkzZywZvUlxkbfvs88+E7x9zz33nDDBSmm5i00y2MxApSKIZCO5NqhTy0svvSQUoMGDB5tdgKgbdUZGBlJSUpCZmWl2G8HNmzeFXq0khO7u7qBlqSz9IFF7AzVKU+M0FaAZM2aUWnuDmWWDgzMBuyag/XKmTnKzZ8+2mtvQVBD0Pvrkk09QtmxZVKpUCfPmzTO5yUXfPbTfU//73/9Aw9Ms/Z7Sd299x+kjROPtq1OnDrZv317qNumz1ZzjpSaIGiOpAI0aNUpo/KYC9PXXX5stbJq4TP1P7YtTp04VelFVqFABU6ZMMdimaWq8hsJRe0NUVJTwdefp6YkdO3Y4RAEylGY+5+AE1ClY3kkGaaMZuFTMmt+Kg4NQ45lqiN1nxpqC8iQcXDQcEaG14VpeCmmFagjo+D7mHrgB7VjoGfbw8BDcd7GxsVpDDOyDeWJiorAgOn1sUy/1wu172bj1y1IMiwiFe2UXlC1XGbWCOiB6xnYkZBbutPLvv/8K76ny5csL/Sho6Ic9bdrevg4dOhTpZS9H0sFFGB4Ritqu5SGVVkC1gI54f+4BaK+9rE5Zjk4yKRrNuATdYqTAwUE18Ey1WJsku9QFUZPKy5cvo0uXLoJgBAQECO5OzTlL/aevqi1btggPEhVUGvNIX1+23LTbGzp27ChMdG7L+/O9mIDFCFhYENVphzGqQQVUbjYS60/dwAOlCtkZV3FoTgTcylRB2NJLhUSR+g+UhtvQHH7UbEM114ItE6emtUZlFx9EzduHiylZyJanIyl+HT5uUxUy9yisv1Yw9pGuo+Fo169fL4jCzvY03j5a6zbfTaxOw+FRDVChcjOMXH8KNx4oocrOwNVDcxDhVgZVwpZCs/YyC6KBDKV1EmmBXhKsbt264cqVKwZCm37q77//Rtu2bYV4Q0NDQf740tq02xtoCrihQ4darSdcaaWR7/sUELCkIKrvYcsbL0IaMBrxOkPe5Ph9rC8kLu2wTOSr9abv6Y/qEg8M2J+GwnVBAIpLmNe6AmSNZuFCYU0URWGi91rupsa9LW/gRWkARutmJuS/j4WvxAXtll0HXcGCaCR7qW1w/vz5wlJM5Isnnzy1EZZko/bFgQMHCu2U1BGHemgVZFxJYrTcNdrtDcWOlcq+hV+WDkNEqDsqu5RFucq1ENQhGjO2J6CwZ0WNlOWdIJM2wozifVcYVOMZVIvdZznjOSYmYEFBVF2dg0YSGcJXp+gKBb007xzBqpU7cVbMq/WqkrCweRnIOq6AvulRFceGwc3ZFbEH7Ms1alZhV13FnEYSyMJXo/i1l+/gyKqV2Hk2jQXRHLBU/abONrQSRbVq1YThFaaKGYkqNWjTgr80VIPGI9LYHXvcNO0NNJYpf3xm5ilMa10ZLj5RmLfvIlKysiFPT0L8uo/RpqoM7lHrUeBZYUG0x3x1eJssKIipceGQSkLwlSOv1pu2Fp2lEgTPThSEoNjyodiP6IpOcBsVX0x7WrFX2N/B1DiESyUI+cpAOrWs5hqiFgxTdsndqZnrlMYgFsxFWPzVe/bsAfmzye1KQzBoNgcxbKmpqXlmpmNP/+qQeAzA/jQdxwoUl+ahdQUZGs26gFzPCguiGPLX4WzME0R6zvT+SUzpVKNCwpQgOEsjsbFkjiBRoFWdn4xAZykiDCVSlYAvAp0h7b4J9vn5bhy1KmEKgpyliDSUTq1ocgXRQBlycoLkaetUo8Wn2F3qEAq3yd0AABQwSURBVLNt2zZhRgh6+N58802dhmbqmEPzjdL5oKAg0Px+YtxUSQvRvIwMHVfcLtZ9BChwbJgbnF1jketZYUEUYz6L3maL1RBVuDStPpylEdjgyIJ4diJ8ncui5xadRtKCoqA6h0kBIhfES9NQn4TfxMzkGmJB9pu9R4NAae5AmgJO0xWZBrx/9NFH+fMW0ozvlpq30GwDLXBB2trOkEqCMduA+0ixPxoVndwwKp46KrMgWgA7R2EuAXMF8eHfWB7dFDWfLYvyNZth8PrE/F6jmZsiIZMEY5beMp8NudhX681zJTaZf82Ay/RnxFR0Qs2RJ8XrMs3chEiZBMGz9LtMs+WKfAbmCuLDv5cjumlNPFu2PGo2G4z1idoDcswtxIXD282wi8JmGf9FE8/S7C9UG6RJwK09b6FxiywVQoXzkwOFr2VDHgdVwheC+6X7JnKs5AmiIdeVk4Q71VgqizieXAJmCaISZz71RZ13f8A/DxXIOLsIr1VrnN9mqL6xBK2lMoR9d7dYr4j65lK0cXFFj3Uini5MdR2LWkoNd6o5MQK1nF0R87OIO9Wob2BJaylkYd+h+LWXb2JpGxe49lgndC4ySxCVZ/Cpbx28+8M/eKjIwNlFr6Fa46+g9zvKzGdVtIKoSSdNPEuTcdtq3kLNfa33X4WzE33hXLYnDHtWJiHAWYpCgsi9TK2XLRyzLgGzBLHo5WmIC38eUbs0X/dp2BZVBWUCxuA3HS3IQvxoXziXa4MlIh92kbkvFjUkbuj/U6qu8CsuYm6r8pCFzhDlsAvtHE7bFoUqZQIwRjczkRU/Gr7O5dBmiQWGXaTFIfz5KOQXI20jSrAvekEsQZrt/pLcHndNMP+aZlyPrsmKn2NQ0akmRp5kl6kuHT5iEwIlFUS1AneOT0U7965Yk1zQaUx9dzdiPGWo0nw44k4kIUOhhPzeeeyc0B6uEld0Xp6Y14nMJqmz0k0e4NTUVqhU3hd9FxxEYpocyuyHSD6zGePbV4PMvQ/WFXQft5INNohWfRe7Yzwhq9Icw+NOIClDAaX8Hs7vnID2rhK4dl4OzdrLZtUQtUxXK+7g+NR2cO+6BlrFSCuE+bssiOYzs/oVquuL0FJquFPNiRG14Owag1zPCrchWj1T+Aa6BEokiFnYHeMmjKv1eHMtEossI6hK/wtrxvRC0zpV4CJxQpkKLyMwbBAWHLmFwsv16pojniPZuHV0MYZ2DYbbC1JIZJVQM6gjYmdsx4XCA4zFk6TiLFWl4681Y9CraR1UcZHAqUwFvBwYhkELjkB77eUSCWLWbsS4VYZLWQ+8uTYRRYpRcdaYdIwF0SRMtg6UiX2xNSBx64+fUgu+oDVWKC7ORavyMoTO4GEXGib8X2QEFNexuW8tuA8/LjLD2Vx7IqC4vhl9a7lj+HGN6/3JrGNBfDJ+1rv6wSlMbVUJ5X37YsHBRKTJlch+mIwzm8ejfTUZ3Pus44H51qPPMduAwOPtvVGh7Tc2uBPfwnEJPMb23hXQ9hvLdLZiQbTnkpJ9C0cXD0XXYDe8IJVAVqkmgjrGYsb2Czx1mz3nG9tWDIFMbI9yRd1he5D0KBtZN45gUqsqaDDtQjFh+RAT0EMgczuiXOti2J4kPMrOwo0jk9CqSgNMu6C/v4WemIo9zIJYLBY+yASYgKUJqFIOY0pkEKqUdUKZij4IH7sLSSKcxNrSXDg+cwiokHJ4CiKDqqCsUxlU9AnH2F1JFutsxYJoTl5wWCbABJgAE3BYAiyIDpu1nDAmwASYABMwhwALojm0OCwTYAJMgAk4LAEWRIfNWk4YE2ACTIAJmEOABdEcWhyWCTABJsAEHJYAC6LDZi0njAkwASbABMwhwIJoDi0OywSYABNgAg5LgAXRYbOWE8YEmAATYALmEGBBNIcWh2UCTIAJMAGHJcCC6LBZywljAkyACTABcwiwIJpDi8MyASbABJiAwxJgQXTYrOWEMQEmwASYgDkEWBDNocVhmQATYAJMwGEJsCA6bNZywpgAE2ACTMAcAiyI5tDisEyACTABJuCwBFgQHTZrOWFMgAkwASZgDgEWRHNocVgmwASYABNwWAIsiA6btZwwJsAEmAATMIeAaARRcfMXfDv2bXRpUg+BXj6o90pLRPb/FCt+TUa2OSlWHsMnPh6IWnsHagDK+M/Q0D0Cq66rzIlFT1glfv3IF5691+FObuSYUM8D3VfcgCVi13NTI4eV+G18fXh2W4kbeo2QY88Qf/j3WY1besMYuQ2fZgKmEFDfxfp+PvB099DzVwdtp/yR+0yrM3B+0xQsPJAhPKuAEr9/Hgr/Ht/hpl2UU1OeLVOgPGkY63GR//QBgryjEGfoxaCMN/qeMymeJ8VggetFIYjqtAMY08IPbYeswslr9yHPUeLR3QTsn9MXjb2a45N99/IeGBOIFBFEE64wI0gRQTTjytINyoJYuvyforvnCaJfj2/wnzFRe7gNA7x90H9Dqp0Kor3kWykLogkYWBBNgGRaEDVur+mHAN9obE2napfWpkpGXB8foWaTbOzh0lzGgqghofWfBVELBu9akwALohXosiBaCqoIaog5SFzYFb7ePbH8Wo7xdD+6jJ3TBiCyeX0Eenoh8JW2eHPs9zj/IE9Miwiirss0B/fiV2LsG23R0Ls2fIOao+eHi3D8jhKKU5PR1jMEow8+0rJDjXub3kO9oPexPS3bqMs0JyUeq0b3Qft6PvDyrItWkcOw+Nc7UGrFWHj3ES7vmIZBXVugoa8XfH0bosMbY7Hh/AOtWrF+m8nNVNRlqn6QgC0T38KrDf0RENgMPUcsxfR+vuwyLQyef1mDgImCqE7dgP7eBW5V34hl1MAhuEz9wj/DytmD0LVRAPx9GqBD38nY/a9cy1pjz4wSpz4PQcCQOBz6eogQj593fXR4ayr2/KfQikeJ278uwcjI5qhb2wP+DTrg3UnbcDn/8dd9tiz/fJtiq3Euxt9dakD9ABc2T8Q77YIR5BOEFhEjsGxqPwTku0yVOPlpAwRFf4kF0a1Q37su2o49gMyiLlOj8RBiFVJOfoOPe7ZGsI8PgoI74N2JW3DpoRb+UtgVgSAC2efmoou3B/ybvYkJS3cg/koqtIttPjd1Og581ASBr36Gff9kQJH9EMmnvkF0sDfCvvw7V3SMCGLW71PRwTMEMctPI0WuhDw1ARuHNIFf+GJckZ/BjLZeCB2xHw80N1WnYWtMEF4ZuAPp6iIu06IFJet3TG/rhUb9V+D0XTmU8lQkbBiC5l6vYcmV4qq4aqT/PArNfcMwYe8/yFRk42HyKSx/NwR+7WfibJ6KGrRZVeShVd3BzsGh8G8xBGtP30HG3QRsGxuGIHcP+HEboiZX+b+1CJgoiMLt9bhMPd290H7kFlxMk0ORfg7L+9aD32tL8I/wCJnyzOSKjKeHH14bsx0XUh9Dfu8MFvcOgl+XZbiW9yhm/DIOrT0aYWDcX7gnz8aDawcwvasf6vb+DteEZ6/Is2WV59sUW3MF0SCXbGPvLhXu7BiMJt4tMXTNGdzJuIuErWMR7ucBTy9NG2KuIHq6N0DsmivIfJCEhKsZ1BFDqw3RlHiAh79/iS5+dRE5cTcu3XuI+5d2YnyYPxpFbzLQ18FahbIgXlEIIpCN63unol9T37yG+DoIatQZ0aO/xs5zadDUG9WpmxHrF4SB2+5r1Z4e46chAfDvE4fbQkcXQ51q0rD1XR/4v7sFqUW8s7nIlDg3qyN863+IPZm5R9T3t2NQUH0M3UUN/4YFMW1Lf/h798fW4iMvyBXNnjoVP7znj/qx23Bfy57HPw5BXe8orBESZNxm7RpiTuJCRHg3xMi9GZq7API/ML2tJwtiARHesxaBPEHU26nGMxLf/Jv3ROsRRK+gYTigVZOQHxqB+t7vYmsaAJOemTyRCRqBQ1kFCX289wMEeL2NH+j5VP2HFV1ro8GH+5H3qAsBc/5ZjK7udfGR4CUqLIjWeb5NsDWv5myQC4y8u3ISsbiLD0KH7dVKrxynp7aFT1FBrD8OJ7RrJNqCaEo8qtvY8FYA/COW4B/NyxuAPH4S2nq1xJTftCMvyB9b7IlEEPNQKNNx9dct+GbKcLwTFgJ/6qnm2RQDv7+q1dNUgXsJR7A9bgm+mjgKA3u1R4i3B/x6fIsk+vIzVENUHse4oNro/u1/enuF5lyYhy5eGgFUI2PnYLzSQCOQhgRRiRNj6sKr27fGOxMUyXlFSgKObovD0lkT8UlsL7zawAeeXj2xnBJk1Gbth1aN+5veg793P6y/q6WwkOPwR6+wy7QId/5pBQIWqCH6dVmaX4sjC5V/TEYz7x5YrdVT3OAzg1yR8dWqDQrxnJyAEK/XsYY6JGTuRGzt2nhva3phCDnnMauFB1pM+0tw4RZ8bFrp+TbFVo0r2QgXQ+8u9f3NiPH2wdtr72pVJgD5oVEIKeIy9e22vPA7TEsQc0yJ5/FejAjyQtjMs4Wbih7vxfAgb0QuulKYuQ1/iUsQC4FRIu3vtfiguSe86g/FT1ThUd3CvrFhqFcnCK0i+mPk5/OwZs9viBsQiPxebYYE8fEeDPGsjbc3Gui1KnwBeaPBgO24r8rAT0MaIHTYvjwXqiFBfIy9A73g1Xcj7mlrUaE0Ff2hwq294xAe4In6zSIQPexzzI/bg1OrB6IeCSJ10zNqs7YgqpC0/HX4eQ/ALq0vY6qBn57SGgHsMi2aAfzb0gQsIIhFh13kCmJk3tApE56ZPJHx676q0PANZfwEhHr1RNxNFdTJcejt7oWRB4sM6lJdw/IuHqg7+lgRQbTS822CrZq2VcNcABh4d6mSlqO3lw8G7Sj0YkD26Slo61PYZerXaw1uab/DtARRaUI86tTv8a5W+3Bhb0EdtJl0ytKlzuT4RCyIlEY1bsdFwc8zHF9fzIH8+GdoUachBm66qfXlkYmtMT6mCaLyOMYaqSECOfh3aXf4Bw3Grus/YvgrIRj1s8Z/Y0gQlTgx2swaovw4JjT1RGjsZiRr9brJ3BIDf40gGrVZWxDVSN8cjQDvN7FWcLdqyokCx8aGcg1Rg4P/W4+AtQXRlGfGFJHJ3KGnhngWM5vrqSFa4/k2xVY94zMLfyhQlup/d6nTf0Csjw/6rbldqIao+GUcmhSpIRoSxBxT4snajQ/8vdF7eZJeT5z1CqDhmO1fEJV/YWY7L4R+8COKjrqgpD3cMRB16w3Bjxlq3FvXD/5er2OFlusEj49jQrM68I3Mayw3VENUp2LrOz4IiN6O+wa4qZJWoI9PA7wz8E00CPkYh7R6nekfmK9G6g/vwt8nGjsMRa51X3XKerzjTQXnulbBeYwT45vB27M7vvlXJbSZGLZZWxCBnH+X4XXv+vhgR1pBwVcmYF4nL25D1GLPu1YiYI4gZu3EYBPGIWq/+E16ZkwRGaoJdq2N+kOLtCFeXYQu7v4Yto+61Wk/W1Z6vk2x1WRBBPS+u3L+xbfdfdBw0E6k5df+lLgwpxN8i7QhGhJElSnxqK7ju96+qPfO97n9OvKKWs6VRejuXRcDt6ZaqfAZj9b+BREq3PhhAJp6N0LfqZtxIvEOHihyoMy6h3/jN2Lca00QtSwB1OlaeW42Onn5o/v0X5CcpcCD679jw8iOCHD3gG+nebhIDbiGBBFA1unpCPNqjMHrziNNkQNFxjUcnd4V/qFj8KumIqi6ibgo6uBTG01HH0GBk8FQDVGIHF+290azAetxPk2BHEUGrh2ejgjvRhh3TBO5VqYpz2FOR28EdZuOY8lZUDy4gT/Wf4QwH2o7Dcf8C7kt0oZt1n5oqVKdjiNjW8G/cTS+PXETGWlXsHdyBOp7cC9TLfK8ay0C5gii4gjGvOKNrl+dRWrKPUGAipupRlsQYdIzk9uGaMhlSsnPODIGraiX6RrqZarEw/9ye5kGRCzBZcGTWuTZyjpthefbFFuLH4dYiIsmP/W+u9RIPzwObb2bIHbZSSRnpOHKni/QPai2Ti9Tg4IIU+JRI/3oZ+jgHYyomftwOfUhMq8dwVe96iOw0yycLnihaqy22X8RCCKxUCD515X4PDoS7YOD4F+7DvwCQtCx9zDM3XUZD/O/aB7hwvef4PVmdeFXxwevNOuKAVM2YN+83ggIjM3t3WlEEMmtcO/kMoyMaCqMPfL2b4LIAV9h/zXtcU5q3F7bD4G1m2D8L4+1MsuIIJLTIiUe3w6LRHP/OvCsHYDmXQdi7t5rgqBrRZS/+yjhe4zp3gz1vTzhX7cZImKmYOPe+YjyCcKALZovKUM2F3loKWb5NeybGYPOIQHw9w3Ba+/PxddDm3EbYj513rEagTxBLNxuVDDekI77dl6AROFb7yHOLOqHln6e8Gs+yTRBBGD8mTFFZIiAErePLcTwbk0Q5FEbAcFhiJ68BRfyx1zpPluWf75NsdUMQaRmpmLfXZReOa7tnYX3O4WirrcfGocNwLx5H6KFGW2IuSNWjMWTyzb5yEKM6N4SDb294B/UDN2HLMCx21rdTq1WCPVHLBJB1J+A0jmTgyuLusG/9RT8oa2TpWMM35UJMAEmYCIBfncZAsWCaIiOzjkl5HIFsq7/iE9a1sVbq+2vUVjHZD7ABJgAEwC/u0wpBCyIplDShFHfw9bYevDzDUWPcbuQpNXzUxOE/zMBJsAE7I4Av7tMyhIWRJMwcSAmwASYABNwdAIsiI6ew5w+JsAEmAATMIkAC6JJmDgQE2ACTIAJODoBFkRHz2FOHxNgAkyACZhEgAXRJEwciAkwASbABBydAAuio+cwp48JMAEmwARMIsCCaBImDsQEmAATYAKOToAF0dFzmNPHBJgAE2ACJhFgQTQJEwdiAkyACTABRyfAgujoOczpYwJMgAkwAZMIsCCahIkDMQEmwASYgKMT+D8gWgda97dtYAAAAABJRU5ErkJggg==" width="404" height="144"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Deduce the structural formula of the by-product of this reaction.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Aspirin crystals are rinsed with water after recrystallization to remove impurities.<br>Suggest why </span><span class="fontstyle2"><strong>cold</strong> </span><span class="fontstyle0">water is used.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The solubility of aspirin is increased by converting it to an ionic form. Draw the structure of the ionic form of aspirin.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Comment on the risk of overdose when taking aspirin as an analgesic, referring to the following values, for a person weighing <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>70</mn><mo> </mo><mi>kg</mi></math>:</span></p>
<p><span class="fontstyle0">Minimum therapeutic dose <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>=</mo><mn>0</mn><mo>.</mo><mn>5</mn><mo> </mo><mi mathvariant="normal">g</mi></math></span></p>
<p><span class="fontstyle0">Estimated minimum lethal dose <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>=</mo><mn>15</mn><mo> </mo><mi mathvariant="normal">g</mi></math></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Explain how IR spectroscopy can be used to distinguish aspirin from salicylic acid.</span></p>
<p><span class="fontstyle0"><img style="display: block;margin-left:auto;margin-right:auto;" 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" width="404" height="204"></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJkAAABbCAYAAABgfCcFAAAGgklEQVR4Ae2cy1HlMBBFSYo4SIIUCIEIiIAACIA9e9asWbNl+6YOM7dGGMk/LFltX1W5/LBkqX37WGrLMlcXJytQWYGryvW7eitwMWSGoLoChqy6xG7AkJmB6goYsuoSu4EQkL29vV3e39+z3vr4+LiQ//n5mc33wf0VCAHZ1dXV5e7uLqvW09PThXxAc+pTAUPWp18OZZUhO5Q7+7wYQ9anXw5lVRjIrq+vv+IyYrN0u7m5cUzWOZJhICO4H9sc+PdLWhjI/HTZL0RTlhmyKYWc/2sFDNmvJXQFUwoYsimFdsp/fX29MNGsrfTGYyfzFjVryBbJVb8wMOmJefig8/DwUN+ACi2EgIy7+eXlJXv5PFWSzzvM6IlrYKoGuB4fH7+uiXeyXDsPPhyPCFoIyKLDM9d+AAKk5+fnH6cA2+3t7Vc+N1WkZMg68haAMVSWEkMpZYAtUgoJGUIfLTHsc1339/ejl0aZaNcf0lvRRB6l5l+mIJsaChWbzamzlzKGrBNPCLKpwF5xWSdmzzLDkM2SqX4hAnt66LGYbE6Z+pYub8GQLdes2hnEY4CWe7qkUT19Tg2p1QxcWbEhWyncFqcxL5bO5A+nKfibRDkBNjWcbmHX1nUYsq0VnVkfcGmNXHpKChq9WrqVVqKk5/f425Dt4BUBBmRpTyZTAI1ZfoZFwGLPu8yoyZA19lwJMCAqvTprbOLmzRmyzSUtV1gCDLgYFqcmYss1951jyBr5Zwow5r8U6DcyqVkzhqyB1GcGDHkNWWXIzg6YITNglRX4W717skoyuwf7L6wh+6/FZr8M2HcpDdl3PX79lwH7KWFIyH5eRj9HmKEfzuRrHuzI0xRjHjBkY+qsyKMnSz9qOTtgSFiEDKFYSJcKlmqOmOS3TmqXtvm9V2LiFBu05SZSDdhf7xQh46UsrzpKa5daLwPGiWozXZnAIr/WsPG5WmoDvxkih1ph71mHyPTmDwEZgGnZMe/36CHYtMgPB5d63PRit/itdV3YA2z0ZOyxYeym3KLtqHWEgEyADXsKRBdoLRbzqXfP9U7Aph4tN3RGBWQLu7uHjKEQ5+HYXMKhOB8n10769wGl4Zll02yG7LsnJiEjrsCJw02Cf69u+79wWi/DEHawOS1ToKiYhgYJW9qnzZXKrDmuemVH6eMKlRvu17RZOkd1k89N57RMgUnIiHX0mJ7uFScta255aUHGfu8EZGOfrO1tX6/tT0JWcq6mE2pfGMuSce7YqlGe7njarJ30BFlqh94WvVo96Zbs6O1495ARRAMZDs4F3JrwbNHDaPoid+NhpyDM2dmb41va0z1kiCGQGKJTB9LLybEterIUpDRGpOcSgI7ZfuIbAjLMTmfZ6bUEF71cizkySQfkaduKTRWvpTeBzjn7vggZPQN3ZamHwOmt71psITajXTZ+7/E9IiABtuxgzxCazo/Ruw2PnRW2ImRnFWSr6wZEejd6uhS+reqPVI8hq+gtel6DNrLUp6L2v64ax0VJBs2QNWH17KDF6RISHCL1ZDL7zKAZMlHQYH9W0AxZA7jSJs4ImiFLCWj0+2ygGbJGYA2bORNohmzo/YZ/nwU0Q9YQqlxTZwDNkOU83/iYQBt+p8D7T45Ffy1lyBoDNac5XqzrGwrmBPVqquViALWbsxfwyc+tq8uVN2Q5VXY8pk/8gIyVLjiSVR5y+rC3q2Wq2svVb8hyqgQ5BlA4N7dyQ+vYWMvWYs2aIQv0gnwJ3xoiSzGYPg8c+95hSXtjZQ3ZASHT+jOGxlICvjHnl85bc1ztMDQON8HumGyNsjueoziHOGwsqbdLywiILfaqd05dhkxqBdkLsinH6SGg9mUJMuwZbvpoZspW2einSymx8545MRw7NlxiIoE/W+0kyHLtzL0hdG5IyGT80fYaCgEulzRp68A/p46PzVJAwT9TGEPQPIUxS8L1hcaGEeIC8unCj5DUWzEkEvtwfZqgbTVHho6nGy7PBBkO5vWRAnyuHbgArcUkrG5U2i/Fh9hBHjfEnBQiJjsbZHMcF6mMIYvkraC2hoGMYJi4a7hpzuYoMVlQjkbNDgOZAtHS3pCN+nnXzDCQMYfEk9ZwU4BsyHblaLTxMJCVnnSONoUx6q2gmYYsqOMimW3IInkrqK2GLKjjIpkdAjLisdI6K2adyW85Gx7JwT3YGgKyHoSyDesVMGTrtfOZMxUwZDOFcrH1Chiy9dr5zJkK/AEkdbG+52LxhAAAAABJRU5ErkJggg=="></p>
<p><em><strong>OR</strong></em></p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><msub><mi>CH</mi><mn>3</mn></msub><mi>COOH</mi></math> ✔</p>
<p><br><em>Accept full <strong>OR</strong> condensed structural formula.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>to avoid dissolving the crystals/aspirin ✔</p>
<p><em>Accept “to avoid loss of product” <strong>OR </strong>“aspirin is less soluble in cold water”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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">✔</p>
<p><br><em>Accept a positive metal ion next to the <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mi>O</mi><msup><mi>O</mi><mo mathvariant="italic">-</mo></msup></math> such as “<math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>N</mi><msup><mi>a</mi><mo>-</mo></msup><mo mathvariant="italic">/</mo><msup><mi>K</mi><mo mathvariant="italic">+</mo></msup></math>”.</em></p>
<p><em>Accept “<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>−</mo><mi>O</mi><mi>N</mi><mi>a</mi><mo>/</mo><mo>−</mo><mi>O</mi><mi>K</mi></math>” without showing the charges.</em></p>
<p><em>Accept notations such as “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mi>C</mi><mi>O</mi><msup><mi>O</mi><mo>-</mo></msup></math>” <strong>OR</strong> “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mi>C</mi><mi>O</mi><mi>O</mi><mi>N</mi><mi>a</mi></math>” <strong>OR</strong> “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mi>C</mi><mi>O</mi><mi>O</mi><mi>K</mi></math>” but not “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><msup><mi>O</mi><mo>-</mo></msup></math>” <strong>OR</strong> “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mi>O</mi><mi>N</mi><mi>a</mi></math>” <strong>OR</strong> “<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>R</mi><mi>O</mi><mi>K</mi></math>”.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>low/medium risk «of overdosing» <em><strong>AND</strong> </em>«estimated» lethal dose is <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>30</mn></math> times/much larger than therapeutic dose <em><strong>OR</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>30</mn></math> times the dose results in chance of dying ✔</p>
<p><em>Accept “<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn mathvariant="italic">30</mn></math> and low/medium risk due to large therapeutic index”.</em><br><em>Do <strong>not</strong> accept “low/medium risk <strong>AND</strong> large therapeutic window”.</em><br><em>Do <strong>not</strong> accept “<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn mathvariant="italic">30</mn></math> times the dose” alone for the mark.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>salicylic acid contains absorption in the range <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>3200</mn><mo>−</mo><mn>3600</mn><mo> </mo><mo>«</mo><msup><mi>cm</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>»</mo></math> ✔</p>
<p>due to phenol/hydroxyl/<math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mi>OH</mi></math> group not present in aspirin ✔</p>
<p><br><em>Award <strong>[2]</strong> for “additional <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>O</mi><mi>H</mi></math> «stretch» in IR for salicylic acid at higher wavenumber than corresponding <math xmlns="http://www.w3.org/1998/Math/MathML"><mi>O</mi><mi>H</mi></math> «stretch» in aspirin” <strong>OR</strong> “aspirin has two absorption bands/one stronger absorption band in <math xmlns="http://www.w3.org/1998/Math/MathML"><mn mathvariant="italic">1700</mn><mo mathvariant="italic">–</mo><mn mathvariant="italic">1750</mn><mo mathvariant="italic"> </mo><mo mathvariant="italic">«</mo><mi>c</mi><msup><mi>m</mi><mrow><mo mathvariant="italic">–</mo><mn mathvariant="italic">1</mn></mrow></msup><mo mathvariant="italic">»</mo></math>while salicylic acid has one/weaker absorption band in that region”.</em></p>
<p><em>Award <strong>[1 max]</strong> for “fingerprint regions will be different for both”.</em></p>
<div class="question_part_label">e.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to deduce a correct structural formula (either full or condensed) for ethanoic acid. A minority did not read the question fully and gave the structure of aspirin instead of the by-product of the reaction. Another incorrect answer cited as the by-product was water.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many were unable to explain why aspirin should be washed with cold water, namely, to avoid dissolving crystals. Surprisingly, the incorrect term "melt" was frequently used instead of "dissolve".</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A drawing of the structure of the ionic form of aspirin was required for this question. This question was poorly answered by a significant number of candidates, and lots of basic chemical errors were seen, such as incorrect valencies, writing RCO- instead of RCOO-, showing a cationic structure instead of an anionic structure etc. A couple of candidates also lost the mark by drawing square brackets with a negative charge both inside and outside the bracket.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few scored this mark. Most knew the overdose risk was low but referred to a large therapeutic window instead of a large therapeutic index. Many also did not quantify the therapeutic index by working out that the estimated lethal dose is actually 30 times the therapeutic dose.</p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This question which asked for an explanation of how IR spectroscopy can be used to distinguish aspirin from salicyclic acid was generally very well answered. The majority stated that salicyclic acid contains an absorption in the IR spectrum in the 3200-3600 cm<sup>-1</sup> range due to the phenolic OH group, which is not present in aspirin. A few stated that aspirin has a methyl group and hence the CH stretch will appear in the 2850-3090 cm<sub>-1</sub> region of the IR spectrum in aspirin (using Section 26 of the Data Booklet) which will not appear in the corresponding IR spectrum for salicyclic acid. This is somewhat incorrect as in salicyclic acid the benzene ring will also have CH bonds and the CH stretch for the benzene ring will occur in a similar region of the IR spectrum (as indicated in Section 26 of the Data Booklet) and hence cannot be used to distinguish fully between the two structures per se if using the Data Booklet range. Of course, in practice the alkyl CH stretch would be at a slightly lower wavenumber (e.g. 2850-2950 cm<sup>-1</sup>) in the IR spectrum compared to the aromatic CH stretch (3030 cm<sup>-1</sup>), but virtually no candidate gave this type of precise detail.</p>
<div class="question_part_label">e.</div>
</div>
<br><hr><br><div class="specification">
<p>Some drugs are extracted from natural sources and others are synthetic.</p>
</div>
<div class="question">
<p>Explain the role of the chiral auxiliary in the synthesis of Taxol.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><em>Any three of:</em></p>
<p>chiral auxiliary is optically active</p>
<p>is attached to non-optically active/non-chiral substrate</p>
<p>creates stereochemical condition necessary to follow a certain pathway</p>
<p>allows only the required enantiomer to form «so avoids need to separate a racemic mixture»</p>
<p><em><strong>[Max 3 Marks]</strong></em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Taxol was originally obtained from the bark of the Pacific yew tree.</p>
<p>Outline how Green Chemistry has improved the process of obtaining Taxol.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><em>Any two of:</em></p>
<p>stripping the bark kills Pacific yew tree</p>
<p> </p>
<p>plant cell fermentation <strong>«</strong>and extraction<strong>»</strong>/PCF technology/use of plant cell cultures/Taxol <strong>«</strong>precursors<strong>» </strong>produced by biosynthesis/fungi/yeast/e-coli/use of natural enzymes <strong>«</strong>more sustainable process<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>Taxol produced semi-synthetically/Taxol from 10-DAB/10-deacetylbaccatin </p>
<p> </p>
<p>uses renewable resources</p>
<p><strong><em>OR</em></strong></p>
<p>use <strong>«</strong>needles/leaves/twigs of<strong>» </strong>European/common yew/yew from Himalayas</p>
<p> </p>
<p><strong>«</strong>sustainable<strong>» </strong>process has eliminated <strong>«</strong>high proportion of<strong>» </strong>hazardous chemicals/waste</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>sustainable<strong>» </strong>process has eliminated several solvents/<strong>«</strong>sustainable<strong>» </strong>process uses greener solvents/<strong>«</strong>sustainable<strong>» </strong>process recycles/reuses solvents</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>sustainable<strong>» </strong>process has eliminated several <strong>«</strong>drying<strong>» </strong>steps/<strong>«</strong>sustainable<strong>»</strong> process has eliminated lots of the work-up after the synthesis</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>sustainable<strong>» </strong>process has increased energy efficiency</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>sustainable<strong>» </strong>process has no intermediates</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>sustainable<strong>» </strong>process uses more efficient catalysts</p>
<p> </p>
<p><em>Accept “Pacific yew rare/slowgrowing/</em><em>takes 100/200 years to mature” </em><em>for M1.</em></p>
<p><em>Accept “synthesis of Taxol using chiral </em><em>auxiliaries increases efficiency of process </em><em>as single enantiomer formed” for M4.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>Radioisotopes can be used to treat a wide variety of diseases.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Phosphorous-32 undergoes beta decay. Formulate a balanced nuclear equation for this process.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The half-life of phosphorus-32 is 14.3 days. Calculate the mass, in g, of <sup>32</sup>P remaining after 57.2 days if the initial sample contains 2.63 × 10<sup>−8</sup> mol. Use table 1 of the data booklet and <em>M</em><sub>r</sub> = 31.97 g mol<sup>−1</sup>.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the targeted alpha therapy (TAT) technique and why it is useful.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><sup>32</sup>P → <sup>32</sup>S + <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{-1}^0">
<msubsup>
<mi></mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
</math></span>β </p>
<p> </p>
<p><em>Accept “e</em><sup><em>–</em></sup><em>/e/β” instead of “</em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="_{-1}^0">
<msubsup>
<mi></mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
</math></span><em>β</em><em>”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong><em>ALTERNATIVE 1</em></strong></p>
<p><strong>«</strong>λ = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\ln 2}}{{14.3}}">
<mfrac>
<mrow>
<mi>ln</mi>
<mo></mo>
<mn>2</mn>
</mrow>
<mrow>
<mn>14.3</mn>
</mrow>
</mfrac>
</math></span> =<strong>» </strong>0.04847 <strong>«</strong>day<sup>–1</sup><strong>»</strong></p>
<p><strong>«</strong><em>m</em>(<sup>32</sup>P) = 2.63 × 10<sup>–8</sup> mol × 31.97 g mol<sup>–1</sup> × <em>e</em><sup>–0.04847 × 57.2</sup> =<strong>» </strong>5.26 × 10<sup>–8</sup> <strong>«</strong>g<strong>»</strong></p>
<p> </p>
<p><strong><em>ALTERNATIVE 2</em></strong></p>
<p><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{57.2}}{{14.3}}">
<mfrac>
<mrow>
<mn>57.2</mn>
</mrow>
<mrow>
<mn>14.3</mn>
</mrow>
</mfrac>
</math></span> =<strong>» </strong>4 <strong>«</strong>half-lives passed<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong><em>n</em>(<sup>32</sup>P) = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{2.63 \times {{10}^{ - 8}}{\text{ mol}}}}{{{2^4}}}">
<mfrac>
<mrow>
<mn>2.63</mn>
<mo>×</mo>
<mrow>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mo>−</mo>
<mn>8</mn>
</mrow>
</msup>
</mrow>
<mrow>
<mtext> mol</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<msup>
<mn>2</mn>
<mn>4</mn>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =<strong>» </strong>1.64 × 10<sup>–9</sup> <strong>«</strong>mol<strong>»</strong></p>
<p> </p>
<p><strong>«</strong><em>m</em>(<sup>32</sup>P) = 1.64 × 10<sup>–9</sup> mol × 31.97 g mol<sup>–1</sup> =<strong>» </strong>5.26 × 10<sup>–8</sup> <strong>«</strong>g<strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><em>Accept any value in the range </em><em>“5.24–5.26 ×</em><em> </em><em>10</em><sup><em>–8 </em></sup><em>«g»”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>alpha-emitting isotopes/<sup>212</sup>Pb/<sup>225</sup>Ac attached to drugs/antibodies/chelating ligands/carriers</p>
<p> </p>
<p><em>Award </em><strong><em>[2 max] </em></strong><em>for any two of:</em></p>
<p>absorbed by <strong>«</strong>cancer/growing<strong>» </strong>cells</p>
<p><strong><em>OR</em></strong></p>
<p>bind to <strong>«</strong>cancer/growing<strong>» </strong>cell receptors</p>
<p> </p>
<p>alpha particles have high ionizing density/power</p>
<p> </p>
<p>short-range of emission <strong>«</strong>of alpha-particles<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>healthy tissues less affected <strong>«</strong>as slower cell growth<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>local effect <strong>«</strong>on dispersed/spread/metastasised cancers<strong>»</strong></p>
<p> </p>
<p><em>Accept “radionuclide” for “isotope”.</em></p>
<p><em>Accept “alpha particles are highly </em><em>ionizing”.</em></p>
<p><em>Accept “alpha particles have low </em><em>penetrating power”.</em></p>
<p><em>Accept “used to treat </em><em>dispersed/spread/metastasised cancers” </em><strong><em>OR </em></strong><em>“can be used to map the distribution of </em><em>cancer cells in the body”.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Lutetium-177 is used in radiotherapy. It emits beta radiation when it decays.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State a nuclear equation to show the decay of lutetium-177.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The half-life of lutetium-177 is 6.73 days. Determine the percentage of a sample of lutetium-177 remaining after 14.0 days.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the low environmental impact of most medical nuclear waste.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{71}^{177}{\text{Lu}} \to {}_{71}^{177}{\text{Hf}} + {}_{ - 1}^0{\text{e}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>71</mn>
</mrow>
<mrow>
<mn>177</mn>
</mrow>
</msubsup>
<mrow>
<mtext>Lu</mtext>
</mrow>
<mo stretchy="false">→</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>71</mn>
</mrow>
<mrow>
<mn>177</mn>
</mrow>
</msubsup>
<mrow>
<mtext>Hf</mtext>
</mrow>
<mo>+</mo>
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mn>0</mn>
</msubsup>
<mrow>
<mtext>e</mtext>
</mrow>
</math></span> «+ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\nu ">
<mi>ν</mi>
</math></span>»</p>
<p>Hf</p>
<p>correct <em>A</em> and <em>Z</em> <em><strong>AND</strong> </em>beta product</p>
<p><em>Accept “β/ β<sup>–</sup>/e/e<sup>–</sup>” for “<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{-1}^{~0}{\text{e}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
<mrow>
<mtext> </mtext>
<mn>0</mn>
</mrow>
</msubsup>
<mrow>
<mtext>e</mtext>
</mrow>
</math></span>”.</em></p>
<p><em>Accept “<sup>177</sup>Lu → <sup>177</sup>Hf + e<sup>–</sup> «+ <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\nu ">
<mi>ν</mi>
</math></span>»”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>number of half-lives = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{t}{{{t_{^{\frac{1}{2}}}}}}">
<mfrac>
<mi>t</mi>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<msup>
<mi></mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msup>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span> = 2.08</p>
<p><em><strong>OR</strong></em></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{N\left( t \right)}}{{{N_0}}} = {0.5^{\frac{{14.0}}{{6.73}}}}">
<mfrac>
<mrow>
<mi>N</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mn>0</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mrow>
<msup>
<mn>0.5</mn>
<mrow>
<mfrac>
<mrow>
<mn>14.0</mn>
</mrow>
<mrow>
<mn>6.73</mn>
</mrow>
</mfrac>
</mrow>
</msup>
</mrow>
</math></span></p>
<p><em><strong>OR</strong></em></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda = ">
<mi>λ</mi>
<mo>=</mo>
</math></span> «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{\text{ln}}2}}{{{t_{^{\frac{1}{2}}}}}} = \frac{{{\text{ln}}2}}{{6.73}} = ">
<mfrac>
<mrow>
<mrow>
<mtext>ln</mtext>
</mrow>
<mn>2</mn>
</mrow>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<msup>
<mi></mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msup>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<mtext>ln</mtext>
</mrow>
<mn>2</mn>
</mrow>
<mrow>
<mn>6.73</mn>
</mrow>
</mfrac>
<mo>=</mo>
</math></span>» 0.103 «day<sup>–1</sup>»</p>
<p><em><strong>OR</strong></em></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{N\left( t \right)}}{{{N_0}}} = {e^{ - 0.103\, \times 14.0}}">
<mfrac>
<mrow>
<mi>N</mi>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mn>0</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>−</mo>
<mn>0.103</mn>
<mspace width="thinmathspace"></mspace>
<mo>×</mo>
<mn>14.0</mn>
</mrow>
</msup>
</mrow>
</math></span></p>
<p>23.6 «%»</p>
<p><em>Award<strong> [2]</strong> for correct final answer.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>emits weak ionising radiation</p>
<p><em><strong>OR</strong></em></p>
<p>low activity/radioactivity</p>
<p>can be stored until material becomes inactive <em><strong>AND</strong> </em>then disposed with normal waste</p>
<p>«isotopes» have short lives</p>
<p><em><strong>OR</strong></em></p>
<p>exist for a short period of time</p>
<p><em>Award <strong>[1 max]</strong> for “low-level waste/LLW”.</em></p>
<p><em><strong>[Max 2 Marks]</strong></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p><span class="fontstyle0">A mixture of <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>0</mn><mo>.</mo><mn>100</mn><mo> </mo><mi>mol</mi></math> ethanal, <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>0</mn><mo>.</mo><mn>100</mn><mo> </mo><mi>mol</mi></math> ethanol and <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>0</mn><mo>.</mo><mn>200</mn><mo> </mo><mi>mol</mi></math> ethanoic acid is fractionally distilled.</span></p>
<p><span class="fontstyle0"><img style="display: block; margin-left: auto; margin-right: auto;" src="data:image/png;base64,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"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Calculate the mole fraction of ethanal in the mixture.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">The vapour pressure of pure ethanal at </span><math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>20</mn><mo>°</mo><mi mathvariant="normal">C</mi></math><span class="fontstyle0"> is <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>101</mn><mo> </mo><mi>kPa</mi></math>.</span></p>
<p><span class="fontstyle0">Calculate the vapour pressure of ethanal above the liquid mixture at <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mn>20</mn><mo>°</mo><mi mathvariant="normal">C</mi></math></span><span class="fontstyle0">.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span class="fontstyle0">Describe how this mixture is separated by fractional distillation.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msub><mi mathvariant="normal">χ</mi><mi>ethanal</mi></msub><mo>=</mo><mfrac><mrow><mn>0</mn><mo>.</mo><mn>100</mn></mrow><mrow><mn>0</mn><mo>.</mo><mn>100</mn><mo>+</mo><mn>0</mn><mo>.</mo><mn>100</mn><mo>+</mo><mn>0</mn><mo>.</mo><mn>200</mn></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>250</mn></math> ✔</p>
<p><br><em>Accept “<math xmlns="http://www.w3.org/1998/Math/MathML"><mn mathvariant="italic">25</mn><mo mathvariant="italic">%</mo></math>”.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mo>«</mo><msub><mi mathvariant="normal">ρ</mi><mi>ethanal</mi></msub><mo>=</mo><mn>0</mn><mo>.</mo><mn>250</mn><mo>×</mo><mn>101</mn><mo>=</mo><mo>»</mo><mn>25</mn><mo>.</mo><mn>3</mn><mo>«</mo><mi>kPa</mi><mo>»</mo></math> ✔</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em><br>continuous evaporation and condensation<br><em><strong>OR</strong></em><br>increased surface area in column helps condensation ✔<br><em>Accept “glass «beads» aid condensation «in fractionating column»”.</em></p>
<p>temperature decreases up the fractionating column ✔</p>
<p>liquids condense at different heights<br><em><strong>OR</strong></em><br>liquid of lowest boiling point collected first<br><em><strong>OR</strong></em><br>liquid with weakest intermolecular forces collected first<br><em><strong>OR</strong></em><br>most volatile component collected first<br><em><strong>OR</strong></em><br>fractions/liquids collected in order of boiling point/volatility ✔<br><em>Accept “liquids collected in order of molar mass”.</em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>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. </p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>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. </p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>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.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="question">
<p>Ethanol slows down the reaction time of a driver leading to traffic accidents. Explain how the concentration of ethanol in a sample of breath can be determined using a fuel cell breathalyser.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>ethanol is oxidized «to ethanoic acid»</p>
<p><em><strong>OR</strong></em></p>
<p>electrons are released</p>
<p>current/potential proportional to concentration «of ethanol»</p>
<p><em><strong>OR</strong></em></p>
<p>current compared to a reference «to determine concentration»</p>
<p><em>Accept “ethanol reacts with oxygen” for M1.</em></p>
<p><em>Accept “voltage” for “potential”.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p>Taxol is produced using a chiral auxiliary. Describe how the chiral auxiliary functions to produce the desired product.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>chiral molecule/auxiliary/optically active species added/connected/attached «to non-chiral starting molecule to force reaction to follow a certain path»</p>
<p>one enantiomer produced<br><em><strong>OR</strong></em><br>chiral auxiliary creates stereochemical condition «necessary to follow a certain pathway»<br><em><strong>OR</strong></em><br>stereochemical induction<br><em><strong>OR</strong></em><br>existing chiral centre affects configuration of new chiral centres</p>
<p>«after new chiral centre created» chiral auxiliary removed «to obtain desired product»</p>
<p><em><strong>[3 marks]</strong></em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>Aspirin is one of the most widely used drugs in the world.</p>
</div>
<div class="specification">
<p>Aspirin was synthesized from 2.65 g of salicylic acid (2-hydroxybenzoic acid) (<em>M</em><sub>r</sub> = 138.13) and 2.51 g of ethanoic anhydride (<em>M</em><sub>r</sub> = 102.10).</p>
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EFTU1PEwmfAJEACJEACkSFAJyQyXBkqCZAACZBAFAj8/e9/x8WLF6MQE6MgARIgARIIJwE6IeGkybBIgARIgARIgARIgARIgAS6JXBlt0/wARIgARIgARKwEQGZgrVt2zZdosbGRtx888244YYb9N9PPPEE+vbtayNpKQoJkAAJkIA3AnRCvFHhNRIgARIggegSuFyPVYOyUTi8As3leXC4xd6G+lX3ILswAxXN65A3fDiGDx+uP1FZWYnBgwcjPT3d7Q3+IAESIAESsDcBTseyd/5QOhIgARIgARIgARIgARJIOAJ0QhIuS5kgEiABEiABEiABEiABErA3AU7Hsnf+UDoSIAESIAE/BHJyctCjRw8/T/AWCZAACZCAHQnQCbFjrlAmEiABEkhWAhvzkbbRV+IzPG707t3b4xovkAAJkAAJ2J8Ap2PZP48oIQmQAAkkD4EpFWjWNGhuf62oK8lJHgZMKQmQAAkkAQE6IUmQyUwiCZAACZAACZAACZAACdiJAJ0QO+UGZSEBEiABEiABEiABEiCBJCBAJyQJMplJJAESIAESIAESIAESIAE7EaATYqfcoCwkQAIkQAIkQAIkQAIkkAQE6IQkQSYziSRAAiRAAiRAAiRAAiRgJwLcotdOuUFZSIAESCBZCVyZhXlHNczzmv6eyJr3n9C83/T6htWL+/fvx6VLlzBkyBB+b8QqND5HAiRAAmEgwJGQMEBkECRAAiRAAvFJQJyQESNG4JprrsH48eOxceNGNDU1xWdiKDUJkAAJxBEBOiFxlFkUlQRIgARIILwEHnvsMfzbv/2bHuh7772HgoICDBs2DP3798czzzyDgwcP4osvvghvpAyNBEiABEgAdEKSuRB0tKB+23oU35WGlJSUzr+0Aqx6eyca2zrsQeZyPVYNTEFKQSVaPCRqQ/2qu5CSMguVLZc97oZ64XL9KgxMGYiCyhOeQfmVy/Nx4BJa6n+PsuKxXaxTMlGwqhL1LZe8vZB01zpa6rGtrBh3qbKYkoK0glV4u7YRbUlHw0+CfdXbynq0uKqt/7rht2z7iTpRb7300kvo06ePK3ktLS34n//5HyxZsgS5ubn6KMmDDz6Id955B2fPnnU9xxMSIAESIIHgCdAJCZ5dfL/ZdhhlP81F9qO7cfPCnWjVv078JZrfGYNTLz+AjHuWoJaN4zDl8QUcKXsUWdlr0ZBRjIbWdmhaO1obViHz0LPIzpqLypPJ7Ih0oO1IOX6alY1Hd/XBwobznV/Lbm/GO6NO4eXRObhn4Q5DAztM2RKPwah6+4ujyHha1dvzaCi/HYdmZyNrRiVOuhyReExgbGTu27cv7r33Xq+Rnzp1Sr++efNm/PjHP8agQYNwxx134Be/+IU+SuL1JV5MGALsHLGYlUnVOWKtU9FvZ0+EOzIDLbeWn/crt//OL28liU6INyoJf+0c6l+dj2k7RqJi/3rMuzsdPfU0XwVH1mT8fHM5FuA1PLT49wnVoNEVgtcRlUhmeAcu1C7HqGnbkVn6In4+dRTSe0q1S0XP9LGY+8LzmIqXMfuZxGIdENG2Orz66ALsGF+B/b9+Cnen9+p8PdWBrIIl2FwzE/j5XCzeehzJ3b4+jdolD2Paxm+h9LXnMXWUqre9kH7343hh3eNA2bN4Juk5BVT6XA9PmzbNbTTEdcN0Ik7Jvn378NRTT+mjJDKKPHPmTNTW1nKUxMQqvn+yc8Ry/iVV50gsOhUDiTPQchvo85ZLhbUHtQQ/CgsLNUA6Vnm4CJyv0Yoc0BxFNdp510XjyRdaQ+kkDZiklTZ8YbwR/fOv6rSSAdAwpUJr9oi9VasrydGAmVpF81ced80Xvqor0QZ4Dcf8ZOdv/XkM0KZUfOr5gF+5jI+f0mqKsjQ4Fmg159uNN3iuE2jXztcs0BzI0opqTnln0v6RVprr0JBbqjUkM8Ju660Rn/+64bdsG4PxcS46lX/eGYwZM0Zbs2aNdvHiRR/07HdZ8lJsJQ8Dgda9WkmOQ3NMrdCaPPTOl1pzzXNaDgZrUyuOaR63DcEk/qnTxnltL3ypNVU8rjlcnCKrl7pnLfH/yLtN7/5lTdOUvXJouaUfeeR7e1OFNlXaVs4y41fPWm5DBBanFmi5DfR5v3L7z19viBN6i15ZTCi9VhkZGWhsbER6ero1zyzBn7r8twOoaBmAu+/4Jpx9zqYUX43+3x2GAXgVuw6fwtT0W033Y/BzYz7SNvqKN8PXjTBc/xgb878On1EP7yaKy8dxoKIeyHwMffURkG6eT7rbF/G3A39CC7Jxx7eu95761L747t0ZQOE+HP77FKQ7ElpteWcAoLPeOpCZkeYcufT5qOHGa8hPe83w23g6AN0VX+PTxnNNEx8k8Y5HH30Uly+Hvr7sr3/9K06ePImBAwcmHqSkSFEHLuzbitU70zD56R/iFo85I1fBkXM/Jue+hmmv1aB44lSkezyTFKCAC39B1aZ6OIpW4t70q02Jvgq35K1Ds0tdxPvqvrOoq6pGi+NhvHFvusei6tRb8lDalViErkkEZyBxBlpuH0afQMu5KYdD/Zmw1ryyshLLly+HbL8ohzgia9euxQMPPIDevXuHyi2O37+MU8eP4mPciln9bggoHTLtIJqHW0NnSgWay/PgcBNA5h/eg+xCt4th/jEAUyr+E+V5JkdM5kUOyoblqPtcj2uT1Uj5zZHPcfzQCWDAj9Dv5oRVR34JBHbzGvS5/msexs93GDNR0bwOeSbHTaYmDsp+1fdrSXrnl7/8ZVKlXBbZi528/fbb8e677+L73/++vk1xjx49koqDZ2LZOeLJxPsVO3WOeJcwjFeD6lSMZkdmoOU2D62BdgLe7OQZpo7hhGsWyXaKEydORH5+vk6qqqoKH374ISZMmIA5c+Zg3LhxEAclebdcvBI39xuIATiBQ8c/D6h2ilMQzb+AhPP2cEslCgw7Lf1f2YX4WCqO4Zr3Xbe8BRbitc/OoTW5FzT4AHgD+mXeCnx8FMdPhaffyEdECXL5Ij47979hXxvT0bIHawoynTu3jUVx+T5uBJAgJcZbMsT+yfdQbrzxRpSUlCAzM1PfAUzs5siRI7Fnzx5vryXRNdU5MpCdI5ZyPZjOka882hNf1ZVggKX4YvxQQJ2K0pH5qUdata/qUBJIYi3FGWi5DfR5A3fpGPZoE7airiTH8FD3pwnT9ah6dEShyiGjHrLQUPXobN26VXc+pNdHFK04JYWFhRg+PNgJCd3DtesTV35zCPIdH2PT3r/hQt6tXqZk/QOf/HkfPsYQLBys3F67psaPXI48lGsayp2P6L2/L/XHBx4jKn7CsHqrowX7XpyPiXM3ogUO5BStwKqf3Y8sRz8Myc8CNh1FU1sH0nuZ/f7TqF24FAeGTMSPx/3QuWjdaqSJ8Nw1+OaQf4UD1dj70TnkOW7yTFRHE/68owHInYzB/5wwKssznd1c6ay3LdjU0Iw2DPKstxdqsfCpAxjy4I8xblRaN6EZb5/Gzl8U4Xe3rEZz+93455ZKzBj6GH5x63tYMcpLfgA4evQoVqxYYQwk6PMrr7wSixYtguxQxSPyBMTBkEX1Mktg6NChWLNmjW4HxTHZvn27bh/l441iH6dPn56k05idnSMbOztHskwjiZHPpXiLoatzxGzhQkmJdI68OH8W5m48DCAXRRuW4GeTh8FhOZLLaKmcjbR885RU4xRrH7Md/Anu7FS0Loe/wJz3fLUhVBPMUpyBlttAn7eQjkAf8bZQJJ6uyeK/8vJy1yJJWVx34sQJn0mQ59euXWv5eZ8BxdkNSfeZM2ecUn+uL86C43GtoulLj5SYF1d5PBDNC2FcBBW5henOhWM5z2k1zV9qWvsxrWLqYOfC/3attW61lgNrC9kUWimjH374ofqZcP93797dtXC3m4Vx7gsbO1FIHe8qzwmHx5WgqqoqQzlw1tuILgBt11o/2qBNcfjflEL0ye9+9zvtnnvucelSLlT3XKjuykgbnDQ0NGjTp0935ZfYTclH8yH1atmyZa7nRBclQ11z56AWA3PDDHcuXn51t2HG+RptwdQSbUtNg9aq+V+47L6QWxa8/0DLWVCtNbdrWme7xE9+eBHN81KoC9O722jmlFaz4EmtZMt/ag2t7Zp7ekzSuLVt/LUhAonzqwA3egminLvJbUpTN/lrflp+x/W2UWKghw4dqivLCRMmGIy1t6S6X5NGjNo5S4ynKFpvCtn9rfj8pTi57X7SekgrnTJYQ06RVqorB0nbl1pz3UatKMehQTWoY53kMBb4yDkhJkg62yzD7hmq8ZirFW3YqytU2WWjteE9rUTywDFVK/2oa58yMfiqXEueJVIDwFjvKioqnOBUw9eh5RSVajUNThbtzVrdhiLdgVOGSJGW+i6MJIxErLfGBqOk1XU4HTaptxvqmp27s5zXGqpXa1NkV5YpG7SPWmWvnkCMvcoG5y5kMIbjitnnifAXp/Lpp5/WvvGNb2gOh8PVgLXqmIiO4hEZAmanwqpOkTIoZU/yUNW1yEhoj1CFk5vDFUTniJRjqQuJfCgd3qW/lX3z1nERrt2xlI3wFkcgtEN1QgLrVLTuhJjS4NaGCCzO7nbH8ujUC7Sch7FNJqmOSyfEm3IMtiEiCiNRFa2Zk4dylEbe1l91Oh1qy03HFJcXb6oWsfkZxgIfeSdEbW0MD8dC085rDTX/0el0KNYYrE0pqdDqZPTEdBgbDonQAJD6KQZeNUq9NYTam+u0raXidHT1KDumqB40d0AySqTqrfz3KNvuj8fNL2O+CytvnLTWBq1mS4nudCiekHpbUed0cCW5QTghTkrtzdXagpwBWk7JXq01CHLSSJFe9nHjxrny2yWnIW+N12REhUd4CUidk4ai4iz1RGxCoIfqxJJwJIxEG6E1cxI91Xmohm9gnSPCSeptMKwDzZtoPi+cjLNOZLTMddiwc8Qlm9tJqE6IBKacru47FQN3Qny1IazHqXdw6qPZVsttgOU8jG0yoRlXTojZQLv1WrgVtMB+KCWkep+DVdaBxRq5p4WTKEFlfHwNu0dOgiQPub1Jq1mQqyFntVan90oHz8PY2JapFPFo2KQhFIm6Za63UualARyPh0qLqrPR1UHiIL9ncIadDkwA39TxxVzSJQ6iGiXp16+fSy+ptMp/uZ5ojVtfTKJx3dy5FupIk+SjsQEaz3XNyN/MyVtnRiCdI8LJ2NkSrjaKUeZYnJsdUW+c7N450sktHE6IhGStUzFwJ8SZu17bENbiVOUjkHIr71h+PhmdELOBjlRjTBrvRgUiilauxcvhzVDEk/zxwtlTTpla9Z/aVtf0GM05F9TaRxQ9w3O/Ys7XeHEqzSNxXcP37ukL9ZeUcfMcdmEWL4e5IRRqgzHwdHfOOVYf2FIjId4+xhV42O5vqFEStZakb9++LqfkX//1XxNyap07gcj+kjoXyQ4oqWuRDD+ydLpCN3MS3RROnaGmLImDrUaywxl+V0oieyacjOuIws3Jv/SR6xzxH28s7ka2DRGLFFmN0/YjIWKgVS+q/PfqgVtNrcXnzBUvHhp95p4KSQOPaBFwLu5SC/1VL0aYv/BtLJdSF+zac2xuqIhjHw0DbOYTKacnXKVK5LVLg669ea+2oSjX6RAM1qas3m2Y2hWuFLuHI+VE9HlRUZE2cOBAPW750jiPwAkIS3MHWiRHBY0jtKKLou84B85I3hA9ZOQknRfCLlKHkZOMbkaj/RKOtAgTY8dOpDl5lzl6nSPe44/m1ei0IaKZIqtx2dYJMTYopDchuh54J75YOEBWM049Z+QkxsDuDS8ld8L9dy2i7lzP4JiyTtvrZa1HONIteSx5LfXCTqN1YuDtMGXDWG/tOIfd3BCyUx6Go3wGG4boskg2nIOVy+7vGfVBtMu7OW7JQ7sesZJV6rsxbqnvdi3nSlaxLfIXqVknVstILDpHrMoW9uei2IYIu+whBGg7J8TcoxMbD7yLqN0qpZLM3FMRrd5mFT//x5aA5L/qRbeD85QpaiwAACAASURBVGm3hr/UWzs4ROZSYmyMRLvBaJaFv+ObgLGXPZY6QOpaNEcXAs01M6dYjdqY2zZ2s9miw0UnifMh5Ul+8yCBSBOwjROiGvuqh1cqQ6i9KlLpJYxw9LCZG/2xco4UJ9VTYedelUgXXoav6VOyVJ2JRa+V1C01Z1g1hKSM2uUwOmtSZ2Jl+M0NIXFGeJBAMASM6w1iWabNsosuUB0jIpeU8VjqAnPdt8u0aiMnpTPNLKP521yeYp1v0Uw744o9AVs4IWYPPNCeCqnUUnHEMVANItVI9/ZfHBxRlvKONA4CUZTGRle0Fa25t5k9FbGvQHaQQMqvsdc/GsbW7JRL416u2fUwOwGB6phg02VuCMXKCQpWfr5nHwJSz6X8KJsmNkzsUaCHvCO2Q+yf/EmYEpb8ie5Q16XOBDNtyGzPo22nzPpQ0mVH3WTkFItRUXN5ilXHaqDll88nFoGYOiFmDzyQxpMoSKk0qhdYFLOcGxWpNDRE4ZqVrjyjhh2NCl2UglRMK4eEreKWsCKpaEV+5VypnhOrclpJC59JDALmciJ1JNyHlDtppBjrjcQbL4fIbqy3kZJdOBkdQ9E5wTTo4oUr5YwsgVDsjZQ7KYvKhqi6q/4ruyllVF0z/5d7IoPVxrzSE6quyfuRqmtG8mZOkdCBxvhCPffGKRp6Ilp6MFQ+fD/xCcTECZGKZ+7RsVLxzBVWFJyEIw6AVeVozFIJT5SUhGF0SuS3lfDkfXNDI5yKVmQQR0sZBPZUGHOP574IGA2MGH8rZdlXWMbr5p67SDrexnjDfS48zPonXIxE1nhrCIWbL8MLHwGxJ8o2ib2Tui12p7tDyrPYJvWu2BBxQuSa1Nvu7JTEIc9IWTbbRwlHrluVw2jDrNrW7tJnvi+yKidLcTI/Y+ffkl9GTpJPVvgGmiZzeZJ85EECsSQQdSfE2EASBWmlp0Iqo/E9aViJIg13JVUOiWr0W1WYokBEJuN7ochmTq8o1+6MRiwLEeO2HwFjmQzVKEvZM5Zvqw0h+1Fxl8icrlANv4QXzw0hdzr8FUsCxvordsVqB5S8Z3SwlcMg10M91IiKcmyUXrFi6yJVNyRdxsa7pN2KPKGyiNT7Zk7hchLM5SlUXRep9DPc5CMQNSdEKpdZeVnBLc6GKDtRxNIQknAifZgVudVGV7BpNKZH0mvkFC4lZIyD58lDwFh/xFgHekj5U8611YZQoHHE+nkjI9E1VjpGzDKLUVecrHZemMPgbxJQHVCqLFntgJL3jM6HnFuZXRAscakjqmNCOSNWwjLWNaudkN7CVZyMbYNIptebDJG8ZuYUbLtHcVLlSfIsHA5pJNPOsJOLQMSdELMHbrWnQiqPUnKirIKthKFkp1F2MQZWlZxx1MaqopX0qfSKwmBPRSg5x3eNBFQDxa1xLXuSb/2VVpTjcDWe4ZiilVTUuX2kTsq81YaQMc54OzcaazddY5GTqr9u78YbBMobUwLGhqc0ruW3lUPqtWqMR7ujQMq76AexWWLrrNhIqWtGp13snpX3FAvhInGpOK1yUu/Hy3+jTpK0unVIWtRLyjGNVRsqXlhTztgRiJgT4k3RWDXQopCUUrVDY1wqv5LHqsKT9CsFIArEl6I1j7rIc+ypiF2FSIqYWw9ppVMGa8gp0kprGrRWPdHntYbq1doUBzTH1AqtqT0pSHgkUuqt6yAnFwqeRI6AsSEvtsLqyLvRxsS6kWm0kSK/lcPYySfp7s7WS7tAddSJPbbKyYosdn5GtRFcuikAvSTvWm2z2JkBZUtcAhFxQowKSZRjIJVAnhWFJErGrec2xnkgClD1+IhzYfUwKk6johWFEsyIidV4+RwJeCdwSqspytKASVppwxemR77Umioe1xwYrE2tOKYlqR/iZEJOpsLBn2EmIA1E43qGQEYx5F2jPXI1UMMsYyDBGWWStFiVSZwwNbIhdt+tx1/T9HCMHXpyLnEl50G9lJz5nripDqsTsnfvXpdiDKRHR+FVDogoV2m82+0QpaqMRiCOiKRDHCqjos3NzXU5W1Z7juzGg/LEIYHzNVqRjHYU1Wjn41D8qIlMTlFDnWwReeuAsjpLQFiJbQx0ZD6ajJXDIHbcqiMi8pk75YSJ8ZqMggTCKZppjlpc1EtRQ82IokMgrE7IrFmztDFjxljeycOYRKMDEojiMoYRrXOlZAN1RJTxGTdunPaDH/xAn65l97RGiynjiQ6Br+pKtAFwaLmlHyX5SId/3uTknw/vBk/A2Bll7vXvLlTlgIgTYucGebD2XOyhsq/SkalmRUh4PDSNeomlINEIXIkwHtdeey3ef/997NixI6BQDx48iBEjRmD69Ol46aWX0KNHj4Dej/bDs2fP1qOcM2cOevXqhSlTplgSQdKVl5eH//7v/0ZJSQn27Nlj6T0+RALhJXAN+lz/NaSGN9AEDI2cEjBTY56kbdu24ZFHHsEvfvGLgGxdU1OTbj8kAZWVlejbt2/M0+JLgOHDh2P37t26XZdnrNp1sZFiXydOnIhbb701KE6+ZEqc69RLiZOXTElYnZBgcIpiFYU8YcIEy4oqmHjC/Y4oyk8//RQFBQUYMGAAROnyIIH4IHARn537X3QAdET8Zhg5+cXDm0ETuO666wJyQL744gu9cS4R2t0BUVCMjsg3vvENLFy4UN3q9r9ysALl1G3ACfEA9VJCZCMToROIaWeoKNbnn39eF2TdunUBKWU75J/ILqM3Tz31FMSZ4kECdidw5TeHIN/RgkMNzWjzJuyFWiyctgpv1zZ6v+/tnQS8Rk4JmKlxnKRnn30WMoKyZs0aW4+AmBGLI7J27VosWrRId57M9/k7MALUS4Hx4tP2JxBTJ2TLli14/fXX406xqmyVoWMxDvv373c5U+oe/5OALQn0GoL75v4ILStfxduN/zCJeAkn36/EhrJybD/3T7jGdDepfpJTUmW3nRMrIx8yfbe8vDwuR9xl1kBhYSHy8/PR2NhoZ9T2l416yf55RAkDIhAzJ0SUkUxlWrZsWVwqVkVZho2rqqp0Z0qMBQ8SsDeB65E16xmU5OzGtJnPory+RZ+WBVxA446XsXD2y8CUeSjMvTXJp2qRk73LcXJIJyPs0niXEXeraw/tSEZmDQwdOhRFRUWQGRA8giVAvRQsOb5nTwIxc0KkZ0eU0qxZs+xJJgCpcnNzdSOxfPlyKtgAuPHRGBHoOQzz3tmJmsdvRu09abgiJQUpKdcho+AgMtfVof7XBRjUM2aqIUZQvERLTl6g8FI0CciCbjlkxD2eD5k1IFPJZErZ9u3b4zkpsZedein2eUAJwkYgJgvTZVcomYZVUVGB3r17hy0xsQxIhpszMjJQWlrqWkAYS3kYNwn4JdAzHaPunaf/lft9MMlvklOSF4DYJV92jZTOOrGTaqF27KQJPWZZH6KmZZ05cyZhbH/oZIIIgXopCGh8xY4EYtLdKYpVdsMaP368HZkEJVN6erquYGXb3rNnzwYVBl8iARIgARIgASHw3HPP6bMFEslOyrQyOTZv3sxMJgESIIHoT/uW3h0Zkn3sscfibjes7sqLUrA7d+7s7lHeJ4GYE0hJSfGQwds1j4eS7II3Jt6uJRkWJjeCBJSdnD9/fkLZSemsk3Wg7KyLYOFh0CQQRwSiPhLy7rvv6r07d955ZxxhsiaqGg2RtSE8SIAESIAESCAYAjJSIGsmE2kURHG499579VN21ikiwf331hHi7VpwofMtEogOgag6IbIrhuwXLrt8yEK1RDxkmpls2Ss9WTxIgARIgARIIBACMp1Xpiwnqp2UzjqZNbBx48ZAsPBZEiCBBCQQVSfkwIEDOsIRI0YkIMrOJA0ZMkQ/2b17d8KmkQkjARIgARKIDIG6ujo94IkTJ0YmAhuEOmnSJH1aNj/ya4PMoAgkEEMCUXVCdu3apQ8x33777TFMcmSjlhEemfPKXp7IcmboJEACJJCIBOQjvjKingg7YvnKn+zsbP1WbW2tr0d4nQRIIAkIRNUJ2bp1KxK5d0eVF1GwMiWLvTyKCP+TAAmQAAl0R0CmLMv29Xl5ed09Gtf3ZWt+mZL1wQcfxHU6KDwJkEBoBKLmhEiDXBrmqgckNLHt/fa3v/1tXcDjx4/bW1BKRwIkQAIkYBsCJ06c0GX5zne+YxuZIiWIbE4jDhe/oB4pwgyXBOxPIGpOyOnTp3Uat912m/2phCihGkb/+OOPQwyJr5MACZAACSQLgcOHD+tJlQ/fJvqhHC3leCV6epk+EiABTwJRc0I++eQTPXbZGSMZDhlqVgYlGdLLNJIACZAACYRG4MiRI/q6yUTdPdJI5+tf/7r+89ixY8bLPCcBEkgiAlFzQtra2pIIK3DDDTfg888/T6o0M7EkQAIkQALBEzh37hxycnKCDyCO3pR1IXIkW9sgjrKIopJAxAlEzQmRUYHCwsKIJ8guEQwePFif72oXeSgHCZAACZCAvQnIB/yuv/56ewsZRulkFzAZ/eFBAiSQnASi5oQkG96ePXsmW5KZXhIgARIggRAIyOYtgwYNCiGE+HpVpmfL6A8PEiCB5CRAJyQ5852pJgESIAESIAESIAESIIGYEaATEjP0jJgESIAESIAESIAESIAEkpMAnZDkzHemmgRIgARIgARIgARIgARiRiBqTogstmtsbIxZQqMdsSy2k0V3PEiABEiABEjAKgHuFmWVFJ8jARKIdwJRc0Jksd22bdvinZdl+WWxXbJ8E8UyFD5IAiRAAiTgk4DsIJlM35cqKSmB7CTJgwRIIDkJRM0JUbtFNTU1JQXpZNtqMSkylYkkARIggQgTSJbvS33xxRc6SdU2iDBWBk8CJGBDAlFzQm677TY9+adPn7YhhvCKdPbsWSTbVovhJcjQSIAESCD5CCTT96VOnDihZ3D//v2TL6OZYhIgAZ1A1JwQNTXpL3/5S8Kj//TTT/U0cpg54bOaCSQBEiCBsBEYMGCAHlYyrJ88duyYntabbropbPwYEAmQQHwRiJoTIlimT5+ODz74IL4IBSGtcrRuvfXWIN7mKyRAAiRAAslIoF+/fnqyVQM9kRnU1dVh6NCh6Nu3byInk2kjARLwQyCqTsidd96J119/HTJdKZGPyspKyALDHj16JHIymTYSIAESIIEwEpAGueyqKA30RD+2bt2KiRMnJnoymT4SIAE/BKLqhIwaNUoXJZEVrCy8l13AxowZ4wc7b5EACZAACZCAJwGxHYsWLYJauO35RPxfOXjwoL5ucuTIkfGfGKaABEggaAJRdUJUL88rr7wStMB2f1F6d+TIzs62u6iUjwRIgARIwGYERowYoUt04MABm0kWPnF2796tBzZkyJDwBcqQSIAE4o5AVJ0QoTNlyhR9pCARF95Jz9XGjRuxbNky9O7dO+4KAwUmARIgARKILYHbb79dn5K1YcOG2AoSodiNdpJTliMEmcGSQJwQiLoTMn78eH0xmqwNSbRj+/bt+hDzvffem2hJY3pIgARIgASiREA668RGJmJnHe1klAoRoyGBOCAQdSdEej5EwcqXUhNJwUrvzvLly/UF6Wo74jjIf4pIAiRAAiRgMwKJ2lmn7KQsvqedtFmhozgkEAMCUXdCJI3Tpk1LuNGQLVu26KMgsg0xDxKIBwKapnmI6e2ax0NJdsEbE2/XkgwLkxtBAtJZN3/+/ITrrFOjILJ7JI/QCHjTQd6uhRYL3yaByBKIiRNiVLDV1dWRTWEUQpcdsQoKCjgKEgXWjIIESIAEkoGAGg2RWQOJcMjW/Gq2wPDhwxMhSUwDCZBAiARi4oSIzHl5efrHCxcvXhz33w15/vnn9ZEd6bniQQLxQKCjpR7byopxV0oKUpx/aQWr8HZtI9riIQFRkpGcogSa0XgQkM66pUuX6mtD5NtT8X6IA7J//3488cQT8Z4Uyk8CJBAmAjFzQkT+Z599VldKxcXFYUpO9IOR3bBkAaEYC+6IFX3+jDFQAh1oO1KOn2Zl49FdfbCw4TxkCF9rb8Y7o07h5dE5uGfhDrR0BBpuoj1PTomWo/GYntzcXH2EPT8/HzLiHq+HzHiQEZ3y8nJ+IT0MmcjOkTBAZBC2IBBTJ0S+G1JVVaU34tetW2cLIIEIsWfPHn0almzJK8aCBwnYnkBbHV59dAF2jK/A/l8/hbvTe3WKnOpAVsESbK6ZCfx8LhZvPY6k9kPIyfZFOVkElBH2oUOHYvbs2XH5AUNxnsaOHavPfJBNaXiEQoCdI6HQ47v2IxBTJ0RwSON97dq1mDNnDuJpfYjs7CUflZKF6E899ZT9cpYSkYAHgQ5c2LcVq3emYfKDP8QtHrX/Kjhy7sfk3DMoe60GR5PWCyEnj6LDCzEjICPsv/rVr/Tva8lUJtlhKl4OWQciU6/FiZKZDzxCJMDOkRAB8nW7EfBohoQq4L/8y78EvPWu7JYljXnpLZHRBbsf0rPz0EMP6Yp1xYoVkLm7Vg8xIKdOnbL6OJ8jgTASuIi/HfgTWpCNO751vfdwU/viu3dnANX7cPjvl70/k/BXySnhszjOEigfMFSzBkpLS+NCerF1MtVa1oG88cYbnIYVcq6xcyRkhAzAdgTC6oQ4HA789a9/RUZGBl544QXLC86lEf/SSy/pjoiMLth5EZ44SdKzI4fIGcg6EHl+5MiRkC/hTpo0yXaFgQIlOoHPcfzQCWDAQPS7+cpET2wI6SOnEODx1W4IyPcx3n33Xd1+BDKqYZw1YPfpy5IuGbWR9ZK7d+8O6JsgMnpSVFSk28rPP/+8G5rJdJudI8mU28mS1rA6ITItqaGhAfIhokWLFmHcuHGWFa3REZFFeKJkA1HQ0cgwmS4mTpIc4lDImhYrx8GDBzFx4kRIuuSoqKjAW2+9ZeVVPkMCYSRwA/pl3gp8fBTHTyXrKIcVnORkhRKfCY5AWVkZrrnmGt0eSKdUIKP/si5ETV+eMWOG7WykEJGZAj/5yU9cDojV7XjF3stGLzfeeKO+iH3YsGH6ovzgKCfiW+wcScRcTfo0aRE6qqqqtKFDh8rX0LQJEyZou3fvthzT2rVr9femT5+unThxwvJ7kXrw4sWL2rJly1wyyW8rh8heWFiovyccJF1W37USPp8hgcAItGvnaxZoDmRpRTWnvL/a/pFWmuvQkFuqNbR7fyTxr5JT4udxbFModqCiosJlG8RONDQ0WBZKvSu21Q42Ugn+4Ycf6nZfbL+cWz2kfRBse8FqHPH/XKtWV5KjATO1iuavfCTHyjM+XuVlEogBAdmeM2KHKNry8nI3RWtVYYoTIw13UUyicGN1KKUqskharBySbuVIyXtiYKym20r4fIYEgibQulcryXFojqkVWpOHk/Gl1lTxuObAYG1qxTHN43bQkcbhi+QUh5kWfyKfOXPGo6NKrlk5jA13sZexPIw2LxDHSBwv6WwUOyl/YuslLB7eCLBzxBsVXotvAhF1QhSaYEcE5D2loESxBdJTpOIO9r9R5kB6dUIZAQpWVr5HAtYJtGutH23QpjgcWk5RqVbTcL7z1fZmrW5DkZYDh5azoFprTmoPRJCQk/UyxSdDJSC2TWycNMRVx5uVxrjRRoqtjKaNVGkWZ0jJLjMGrMgtjpaaXSBplnOrzpeKNyn/s3MkKbM9kRMdFSdEAZRRBaWslKJV9/z9NzbsRdEGMrXLX7je7okSNypHGf2wolSDNSLeZOA1Eog0gfbmOm1rqTgdnT2Q0hBwTCnRttQ0aK2RjjyOwienOMqsBBDVaOvEVlqd0iQjCGJTpR7LKHw0GvRi89R0Y6uyii01yhorxyl+iwo7R+I37yi5NwJRdUKUAEYlJMrLSu+NWXmJwhUHQXqCQj1EYYvyVw5SIIpc3lWKOJD3QpWZ75MACZAACSQeAbF1wUxjFltkngYc7g47kc048qE6E+V6d4e5E1JsLo/gCLBzJDhufMt+BGLihAgGbwpTrlk5RAkaG/6iCGX0QpwbcWj8OSYShzwjClAUttHxkHO5bkWhmg0Fe3Ss5ByfIQESIAESsELAOCVYdXBZsU1i48SJUSMj8l9sndhNqzbWKJ/IIXbROENAbKXYWyvymNNhdXaBUQaekwAJJCaBFElWLLcIky+Py17iJSUluhjl5eX6NzSsfABQ9hP/6KOPsGvXLmzdulX/KFKgaSksLMSYMWPw7W9/2/KWu7KlomxHLB9hki/BrlmzBla3IQxUPj5PAiRAAiSQvARki/fnnntO/2K62JulS5dCvhnS3SFb3h44cEC3j7JlvjokjJycHAwePBg9e/ZUl93+Nzc349NPP3XZZbkp702ZMkXfpl4+ntjdIfHLhxXnzJmjPyq2dv78+QF9W6u7OHifBEggvgnE3AlR+KRhL47Itm3bdGVnVdGq9+W/OCWnT5/GsWPH0NbWZrzldi7KV/Zpt/qdD/WyOEwiozhNcsj3PsaPHx/QF9NVWPxPAiRAAiRAAlYJyLepli9frnd+ybe4Vq5cGdBHAMV+HT58GEeOHMG5c+fcHAyzDMpR+frXv67HEUgnnYQl39RavHixS1Zxoqw4LmY5+JsESCCxCdjGCRHM0nOyfft210f9pk+frn+sSL4wG8tDnJtXX31V/wCjyLFs2TLMmjWLPTqxzBTGTQIkQAJJRsDuowvi6MjXzlVnoox85OXlJVkuMbkkQAJWCdjKCVFC26XRb3aKgul9UmnifxIgARIgARIIBwHzNOZYj8qLzZZRGjWtWr7qPm3aNM4SCEdmMwwSSGACtnRCFO9YTn8Kx/QwlQ7+JwESIAESIIFwEzDbqWivTzR31Mm6jyeeeCLgqc7h5sLwSIAE4oNAqp3FlGlY69evR1VVlb5OJD8/Hz/5yU8gijdShxpOHjFihD6kLAvlZeG7lYWAkZKJ4ZIACZAACZCAmYBsiPLb3/5WX58o98RuzZgxA2LHIn2IHR45cqQ+fVpmCezevVtfpxLoWstIy8nwSYAE7EvA1iMhRmzS47JlyxYUFBTol6XHRdaMhGu9iAwnb968mTt5GKHznARIgARIIC4ImKcxy5SoBx54IOxrF41TwWQBu6z74AYtcVFEKCQJ2I5A3Dghipy3uaehKFo1nGzcdYQ7eSja/E8CJEACJBBPBIzTmMPpJJg76rhBSzyVCspKAvYkYOvpWN6Q9e7dWx/y/fDDDyFDwLIH+bhx4yDbFwZ6yP7rMr1LpnnJIYv75Hsj3EowUJJ8ngRIgARIwA4E1DRmmR4lh5rGLPYu2EPsq9hZsbcyA6GhoQELFy4M+yhLsPLxPRIggfgkEHdOiMIsjoI4DOI4yCGKduLEibCiaJuamvRtBL/3ve/p6z5k2FrWfXArQUWX/0mABEiABOKZgKwXEbsmNlK2zBV7J9vniv2zeog9FbuqOurEsZF1muGaBm1VDj5HAiSQmATibjqWt2yQKVXmL7N626HD6nPe4uA1EiABEiABEohHAt6mMfvbQtf8vGzQMmnSJG65G4+ZT5lJwMYEEsIJUXyNC+bkmlFxmr82KwvbpaeIBwmQAAmQAAkkAwGxkcaPCS5dutRt50dvG8DIwnOZBs2DBEiABMJNIKGcEAXHvHf6DTfcgOrqan2bX+7koSjxPwmQAAmQQDISEHu4ePFi7N+/X19buXLlShw7dszjGqddJWPpYJpJIHoEEtIJEXzmXa8itV1h9LKKMZEACZAACZBAeAiYRz0kVNlNyzw6Ep7YGAoJkAAJeBJIWCdEJVXmtsrfwIED1SX+JwESIAESIAESAPSF6s8//zy++93vwt86EcIiARIggXATSHgnJNzAGB4JkAAJkAAJkAAJkAAJkEBoBOJ2i97Qks23SYAESIAESIAESIAESIAEYkWATkisyDNeEiABEiABEiABEiABEkhSAnRCkjTjmWwSIAESIAESIAESIAESiBUBOiGxIs94SYAESIAESIAESIAESCBJCdAJSdKMZ7JJgARIgARIgARIgARIIFYEQndC2hpR+/YqFKSlICXF+XdXMcoqd6KxrSOwdHUcQdnYgRhbdgTyZkdjGcamZKO49nRg4fh62hQ+9N9pSCuuxQVf70Tl+j/QWHYfUtIWovaCL2YduFC7EGkp96Gs8R9RkYqRRJKAyk9DvVH1x/U/zVUX0NaIHauWoVzlvW3KrpGRlXJsfD7C5xFldBq1xdlIGVuGRl9V1qoOu1CL4jRDXkcYC4MngdgScOqJlJSI2l5L7YeI6ojYUk6M2J161mUTvdlLQ5uIdjKgbLdUR2DN1gUUseHhKw3ngZ92HEflk/mYfXkWttZ/iXLHVWJ20da4A68um4OcbfNQ+/JkDOoZnK+Tmj4VVdrUwOWy+kbqIEytakYEY7AoydVIn/oWIplUi4LwsagTyEJRzXtYMeomPzF34MK+DSgoPIqlP/bzWMxvsRybsyDiOswcIX+TgN0JdBzD7jdPYm7J0zi8+n3ULcrBqF7BtRH8JdVS3bNNG8BfSngPjgWoObK0m3JCOxloSbFURwINNMDnQ6j5Hbiw8zXMLvsWli6ahmG6AyKxp6Jn+ljMXfQUMjeuxa/3nQ1QJD5OAiRAAiRAAiSQeASk3bARiw+NxI+m/zvuz3wLK95u1Gc+JF5amSISIIHuCITghFzCZ8eOosVHDJ0eVp1bD29HSz0qVxUgzTW0NhbFZbU+p215GyrqaNmH8uKxzqlfmShYVaW/33GyEtPSvE3d6hxK8jrlyttQbEcL6suLcZdTxrSCNdjR6H+ylrV0XUJL/SYU35XWKXtaAVbtaESbzs/LNBaRo7JrmltawWpsP3DSB21eTlwCMm1rMQaN/jlasAXTMnq4T2H47AC2G+qUZ3mVcleJVQWZ7tMla1XZU9PC7sP62p1e61YX2wtorC3rKsMp5vrrpRzL2KiPOtsVrvksnDID8MnoEk5Wzkaat2mQ+hSpLn3iXsdF7/wOBz77sktw55Squ4pfcrEWnfO5uiIRSQAAD/ZJREFUx5RSU9pED2w/gM+6Quo8M+mhFJni6soz88P8TQLxQuAs6qqqgcljkH19f4y4fwiq3/wvHHWb0iizKWpR5rLzKXAv/2p6yMuo/e+Xu6aC31WM8voWl0Pj3n5Qem4sitcvd76TjeIdu1A21jAlW02NXL8D+wJsB8RLDiSmnPFuJ/21D33kmKmNmJKShruKy1Braq/6s7/udaQznm5tnQ9xgr0cghNyNQaO/XdMdWzBtJyZWPX2No/EuwnVtg+rH5iJbVc8gvp2DZqmob15Hq7Y9AhmvlrnbIy7veHxQxyNGVkTsQEz0dDaDq31txh5aB5yntyKFscP8eBkYNNv/oiTRoV24S+o2gRMHvsd9PII0XRBppfNyEX2hiswp+E8NO08akceRkHOQlSevGR62PnTUrqksTMXWdlvAHNq0aq1o7V2FA4V5OPJyuMupdkVwTnUr56B7LVnMWGnyNGOxkX9ceAPO3w6fV3v8iyxCKSi16ilOFKzAA5MQmnDF2heMcpVlls27sCB/gvQqGnQ2pvwxi3vIXdmKer19VgdaKt/GQ/csw1XPF6NdnlG+xLNT1+DTaPn4tX6cwZUW/DIkmpcO22Ls26uxi1/eNxQNy/gSNlTyHloF/qsqNfDam9+Bn12PYmMe150xmcIznnqr8661VPXq+GUuTNQ34yuxC1j8jAZ7+A3758w1MMOXKh7H5uQi7HZvQG9jt+PtacmYKfoHW0PFvU/ij9sPOyS2hkTdm76M3ov2AOt/e/Y+Ug2rnN7wpm27NdwasIWtEp+NC5A/wM7sNHYm+PUQ/fUfh0rmr/U63/rL7+NXQ/50hdukfAHCdiXgJs9vhoDR4xDbvV72H3UsM6xrQ6vzizCroz/r7OOuHTWYryl1sRJCqtn46FfAo/XSx05j4Y5V2BD9gysdtNrZhTV2LTbgQWN7WhvfhOP3HGz+QEALah+ZBUqrv0p3vGqV728wksxJhDPdjLQ9qGg7mwj3rOth7P8i/3fj6eveBOjXfYfCNj+WrZ1YcxuLaSjXWtteE8rmTJYA+D8c2g5Rb/SKmoatFZX2O3a+ZoFmsOxQKs53+66qmlfaA2lkzTklmoNcrn9I600d4CWW/qRpv9sKNVykaUV1ZzSXM+6heEMF5O00ob/1VrrVms5+vkXzjhM8ZrC74zPoTmKarTzEr1bfM4gztdoRQ6HSyaD8PJGAOnqiqczjFNaTVGWM+1ODiptepwq3SpGY1pV+tQ9/o8/Aio/Vb3x8l+VB1XOjGVbL8vmMqXKsNQHKSOdZUyVbxcjt3qg5DCXN2P51DRNL5ODtakVx/S66QrLrX6YyrGq3650yFsqPiWjKyTnSRhltsToc62u5EddOkiXwiiDU163NMhD3vjApUtUqtx1ijFc9YRiq3SMLz6+5DCEw1MSsDUBs35QNt9dj3XWGV/6QRLorHuOx7WKpi8NKXavX+51T9Urk54z6whdn5nrsXrXn0wGMXgaRgLOvHa1Lz3tZJd985JP5vx1SuZextzLjUv4aNlJrzI6063axi6hnCde24hm+++lvpnsr9c60p2tM8sS4u/QFqY713/MKx+Lucvr8c6fjuOrT7bhicJHkL8ScEzZ4FqY3mvUC2hulmHWP6LyfVkn0oFze9dj2spqIHdc926VvphtN5A5Dn1dC93F+30BzeL+yNExHpNzX8abu4/h4fRBSIUa+l2JbFn4Zhwhcb7S9e8fOLr7PVSjP+7v27Prcq9RWNHc3PXb7cwZfzfp6jj6X3izGsi8Pw1dId+EUSvq9BoF/AONrnCdvbAt/bHUKIew7jsQmTjqepIniUDA2sL0wFL6CRqa2oD0zjLWDJlGtQ3vn2sHcAZ71z6LlTuB3Pv9hdoTfTP6A5uOoqntMvrIyEDLt7B08D/Dbfi0ZxoyMoFNDc1ow23uAVqps+5vAAiXzB1I76psHrEAXYy+9+M85BZKb+wDSE+/GlC9tW/I6OlZ1FZVoyXzMYPekeCcfA56CdrXJT3cZmQuNeoBCUoYXoPOoDp1VosjF7f1kY0+1OGs/y2voKpuLkb53chAvcP/JGAjAk594Jg8q9Mei2ipt2HE/SPQsrhrgXpq2mDcnbMYi0t/j8Fjr0Zb3x9iVLqXeQyZQzDYtRZVAuuskyqsnLAlXdneaqdevTpsITMgiwQsLUy3GJbrsS4bIG2xWNnJ7tuHLoG7TvR2aR1k18zayj9Cn9Nwbi/WTluJnZgE3bRbsL8dXQ1PwNleDout65K02zO39kS3T/t5INWRhQl5ebh3XjmaZWi0YgEyNi7Ak285F521HUZZwXdxbcYDWLv3jL6A/fqxK1FXOgk4JA0dvx6Cn5gNt1L7Y+zMcTi0eCN2yla3utHvg7n3DXFNXzE8HZ7TsKfL/1qb8AjNUJKDQAfajpSjIO06ZIx+BXvPSR37vzH2l5UozQUO6Y6DFRLdl8mWg8fwWRiqsL67XlhktpKuzmdSB47GzKkfYXHpf+ECnJ0AGQ/ivmG9gY7TOHbQVyeE9TjkyY7PjuGgcdqVv9dbfo7R113RtY4nJQVXZExDtb93eI8EbEygs7HVgpaVo3Gda11oD2RM2wK0VKOqzrmJTc9hmPfOTrxxx+eoWPIIRmdchxSP9Wd+EtpyFMc+8zF92s9rvJWsBOLRTsr06GlIuzYDo9fu7XRCrh+PX9b9Crmqgy3Q7AyjrQsk6uBHQmRR9/hRWHz7GzhimKPeGXkvpE+cgsm5GzBNFp09fBvw1v/BtB0jUdG0Gnm3qB4+WWD2CYCBgcjs59mrnHO8i1BV9zNk431syszDzu9d7+edUG79A41hT9dV6HPbQDg44hFKxvBdIdDRiLeeXIAd4yvQtD4Pt6guB1l8eagFuN0qpu7LpOP229AnFZ4LrK1GoZ4Lm8wqQAv/U2/FmAfvAR6S3tjBQNUuZE4uxff0EdebcNvtaXAOU1gIzPcjqX1uw+0Oi0HllqJh+1SkqzzzHSzvkEAcEDiNnaWvoNpruZZ2wDiMXvE7TMtxlvme6RiVJ38zsEIW4G79DV6aPRo5DTU4suI7/tPrGNg5iuix24P/13g3SQmEzeZEz052NL6NJ6ftw/iKY1if1885O0EW51fjEAIw7cYsTw2frTMG29158CZODaNueh91Pj+wdw1y7/8BBqa2oanhE8A8fNrxvzh32rDDjD9pnfGZR006V/cbPvTVawjum9sHm37zH3jzD7uQqcfvL2B1z7lIzuxFOnfQ8v5RMmvpSh34A9zv0fOsPthk+NCOLkoqemWPwWSHc6hQiSffX2k6qhcw1yWekIA/Am3NaDgEZA7/NhyGmt7Reg6Bff5TlcmPsOfw391nNao4MkxTjEQuq3XWmAYVXsgyGwPt7jwVvYZNxNyMavzmzS34w6ZbcP+I25yKvTeyx+bC4TFa66z73QVtvN/rOxg7Oc1zBEpP80Xnkyq+AzjcYuzNlUXta3AXP1ZqJMrzeCGgz0r4ElNnjsZAgy7qFN9Z5s0L1FXaUh3IynsYBZOz4Dbi6qNOOmTnrQh8d0SJw/8JRiBsNic4OxlY+1DYq7bgtzDcbXr0ZbSeM+zkGrD9VbbHPDMpCFsXQBHxUAfW370a6fc9g9K738FDc1aj0rg1nmzJueBJTLv0OF64Lx2pUErmTWzYebKzEdPRgn0vPoPZZeYdZnxJcDUGjp+BBRlvYcnyGrTI1I+Ok9i54U1U5xQ645F3r4fM8c4sexKPrDY2JnyF23U9deBYFC+4ESuXvIxavQFwCS0738Sm6iEoeSHPS6+kxXSl9sf44pnIWLkCy2s709/R8gE2bDqAnJJ5uE/moRuPXiPwxLrvY9NDxSg7IoVK1tJsxbIlG7g7lpFT0pyrOcmS4A5cbLvo7gj44uBs9FZvehM7nQ3ajpY9eHHhsyizOi1Ihd0rGz9dOgzbZz+DF/c5t8GUqYhznsTKDGP9Uy/If6t11vBOOGU2BNvtac/v4MeT+6PskdlYnTkOIwaqOpmKXjkzsW686LlNOKJPG72AxsrVWLKyvttg3R+4CTlPLMT4TU9iTtnhzh0B246gctkKrHTlh4pvF2YvXI99er511v8l814GvOkL90j4iwRsRkDtNncPHhxzq/uaMl1SZydAzgF9PedlfVvrsSiuPOLcNbNzLWnVPrg7MS0bsGTZVucW/zI9pRgPbfo+1j0xInLTr21GluIYCcSpnQy0fQjl7OzGpg0fdLaFcQkt+9Zj4eyXDW3EQO2vsj3hsHXGfPF/HoITIuvABmPqr6vxTt512DsvC1c453lekfUyTg1dgIZ3nkSWPqVBEjcH72y4HX8a3bfzub7z8cdbC7C1oggO/zK67qY67sbSzZvxcPsqpF2RgpQrhmJJ+0Oo2/y4M57ORzvneA/WF7x3NSZcwfg+Sb0Fo5ZuQN3DF7Ek7Z+QkvJPSFtyEQ/XrcfcLG9Tuqym6yo4Ri3A5rqH0L5kqJ7+K9JWof3hzdg8d5hhsboS7SrckvcCdpYPxq5RMh/2Clw7sw5D5zyBXPUI/ycIgXqsHH2z29z/FNd86RSoEbhOB/k8pmV8DV/L/w/Tvvq+UNyEnJ+9gg3D/guj9fKcgr7z/4RbC15BRVGWr5d8XO+FQVPXYOcbI/FZsbOuX/v/omHki4Z67vmq1Trb9WY4Ze4KtfszteW4wzl6a3gjtR/yXqxAeWYtRl0r6zQGYebeb2FOyUTDQ9ZOU2+ZiBd3rkLmrp/gWsnna5/E3qFTUZJ7TVcAzvjeGPkpivV8uwLX5mzDzXPe9KEvul7lGQnYjkBHI95e8RYy5k7EMF8jFHonwBBUL96IP/Z5ABvqZuLmbZM664jYP738v4alE9XUEwA5kzF56CdYli518jqM2jUY5TtfMEz3th0JChQsAS9r5LrsZNdMmPi0k4G2DwH0GoGfvbMCw/5U0NkWTsnC/D/ehIKtW1BkaFAHbH/DaOusZnWK7K5l9eG4eU5fr/IQ9sysMMyXixvpKSgJkEAMCMjUzvE5BzBzv3HdWgwEYZQkQAJ+CDjXkBx8jOum/FDiLRKIBwKhjYTYMoXOKVSXHsRjud6Gfm0pNIUiARKIJQF9amclLs2dglzXxhmxFIhxkwAJkAAJkEBiE0goJ6RzkbpMofoSc16b5jZFK7GzkakjARIIjoBzgwh9audUvDYr28v0yOBC5lskQAIkQAIkQAK+CSTmdCzf6eUdEiABEiABEiABEiABEiCBGBNIqJGQGLNk9CRAAiRAAiRAAiRAAiRAAhYI0AmxAImPkAAJkAAJkAAJkAAJkAAJhI8AnZDwsWRIJEACJEACJEACJEACJEACFgjQCbEAiY+QAAmQAAmQAAmQAAmQAAmEjwCdkPCxZEgkQAIkQAIkQAIkQAIkQAIWCNAJsQCJj5AACZAACZAACZAACZAACYSPAJ2Q8LFkSCRAAiRAAiRAAiRAAiRAAhYI/P8p2XSYuuR5OQAAAABJRU5ErkJggg=="></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>two</strong> absorbances, other than the absorbances due to the ring structure and C–H bonds, that would be present in the infrared (IR) spectrum of aspirin.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State <strong>two</strong> techniques, other than IR spectroscopy, which could be used to confirm the identity of aspirin.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.iv.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>2500–3000 «cm<sup>–1</sup>» / «absorbance» due to O–H in carboxyl</p>
<p>1700–1750 «cm<sup>–1</sup>» / «absorbance» due to C=O in carboxyl/ethanoate</p>
<p>1050–1410 «cm<sup>–1</sup>» / «absorbance» due to C–O bond in carboxyl/ethanoate</p>
<p> </p>
<p><em>Accept “carboxylic acid” for “carboxyl”, “acetate/ester” for “ethanoate”.</em></p>
<p><em>Accept specific wavenumber once within indicated range.</em></p>
<p><em>Do <strong>not</strong> award mark if reference is made to an alcohol/ether.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>melting point</p>
<p>mass spectrometry/MS</p>
<p>high-performance liquid chromatography/HPLC</p>
<p>NMR/nuclear magnetic resonance</p>
<p>X-ray crystallography</p>
<p>elemental analysis</p>
<p> </p>
<p><em>Accept “spectroscopy” instead of “spectrometry” where mentioned but <strong>not</strong> “spectrum”.</em></p>
<p><em>Accept “ultraviolet «-visible» spectroscopy/UV/UV-Vis”.</em></p>
<p><em>Do <strong>not</strong> accept “gas chromatography/GC”.</em></p>
<p><em>Accept “thin-layer chromatography/TLC” as an alternative to “HPLC”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.iv.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.iv.</div>
</div>
<br><hr><br><div class="specification">
<p>Organic solvents are commonly used in the pharmaceutical industry.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Hexane and propanone have vapour pressures of 17 kPa and 24 kPa respectively at 20 °C.</p>
<p>Calculate the vapour pressure, in kPa, at 20 °C of a mixture containing 60% hexane and 40% propanone by mole fraction, using Raoult’s law and assuming the mixture is ideal.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain how hexane and propanone may be separated by fractional distillation.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>vapour pressure = 0.6 × 17 + 0.4 × 24 =<strong>»</strong></p>
<p>19.8 <strong>«</strong>kPa<strong>»</strong></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any three of:</em></p>
<p>different molar masses</p>
<p><strong><em>OR</em></strong></p>
<p>different strength of intermolecular forces</p>
<p> </p>
<p>different boiling points</p>
<p>temperature in <strong>«</strong>fractionating<strong>» </strong>column decreases upwards</p>
<p> </p>
<p><strong>«</strong>components<strong>» </strong>condense at different temperatures/heights</p>
<p><strong><em>OR</em></strong></p>
<p><strong>«</strong>component with<strong>» </strong>lower boiling point leaves column first</p>
<p> </p>
<p><em><strong>[3 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">This question is about antiviral drugs.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Oseltamivir, used for the treatment of severe flu, is inactive until converted in the liver to its active carboxylate form.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Draw a circle around the functional group that can be converted to the carboxylate by hydrolysis.</span></p>
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,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" width="407" height="286"></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The resulting active metabolite of oseltamivir can be detected by mass spectrometry (MS) analysis.</span></p>
<p><span style="background-color: #ffffff;">Deduce the mass of the expected carboxylate ion.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">M<sub>r</sub> oseltamivir = 312</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest a reason for using a phosphate salt of oseltamivir in oral tablets.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Anti-HIV drugs, such as zidovudine, often become less effective over time.</span></p>
<p><span style="background-color: #ffffff;">Explain the development of resistant virus strains in the presence of antiviral drugs.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"> <strong>[<span style="background-color: #ffffff;">✔]</span></strong></p>
<p> </p>
<p><em><strong><span style="background-color: #ffffff;">Note: </span></strong></em><span style="background-color: #ffffff;"><em>Accept circles that include the alkyl side</em> chain.</span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">283 <strong>[✔]</strong></span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">more soluble «in water» <strong>[✔]</strong></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">viruses undergo «rapid» mutation <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">mutation causes a change in viral protein<br><em><strong>OR</strong></em><br>drug no longer binds to virus <strong>[✔]</strong></span></p>
<p> </p>
<p><em><strong>Note: </strong><span style="background-color: #ffffff;">Accept “rapid reproduction «allows resistant viruses to multiply»”.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Required candidates to identify the functional group in a diagram of the structure of oseltamivir that can be converted to a carboxylate by hydrolysis. This was very challenging with many varied parts of the structure circled. Many circled the amide group. Candidates who selected the ester had to be careful to not include the ring structure as well.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The challenge continued where the expected mass of the carboxylate ion was required. Some candidates chose values that exceeded the molar mass of oseltamivir itself, and some chose 45. There were very few correct answers.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates referred correctly to increased solubility of the salt in water while some mentioned bioavailability but did not realize that a salt will also form in the stomach.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates scored the first marking point when explaining the development of resistant virus strains but almost no-one scored the second mark. Many candidates were confused between bacteria and viruses and gave explanations about bacterial resistance and natural selection.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Taxol is a chiral cancer drug which is synthesized using a chiral auxiliary.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The diagram shows part of a Taxol molecule in skeletal form.</p>
<p><img 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"></p>
<p>Draw a circle around each chiral carbon.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how chiral auxiliaries are used to synthesize the desired enantiomer.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the process of solvent extraction by which Taxol is isolated.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p> </p>
<p><em>Do <strong>not </strong>penalize any other notation (eg *) used for a circle.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>chiral auxiliary creates stereochemical condition necessary to follow a certain pathway</p>
<p><em><strong>OR</strong></em></p>
<p>stereochemical induction</p>
<p><em><strong>OR</strong></em></p>
<p>existing chiral centre affects configuration of new chiral centres ✔</p>
<p> </p>
<p>chiral molecule/auxiliary/optically active species is used/added/connected to the starting molecule «to force reaction to follow a certain path»</p>
<p><em><strong>OR</strong></em></p>
<p>«after new chiral centre created» chiral auxiliary removed «to obtain desired product» ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>immiscible solvents ✔</p>
<p>partitioning of Taxol between the two solvents</p>
<p>Taxol more soluble in one solvent ✔</p>
<p>extraction carried out multiple times «to improve extraction» ✔</p>
<p>shaking/stirring the mixture ✔</p>
<p>separating the two layers ✔</p>
<p>evaporation of the solvent from the final solution «to obtain pure Taxol» ✔</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Technetium-99m, a widely used radionuclide, has a half-life of 6.0 hours and undergoes gamma decay to technetium-99.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Most of the nuclear waste generated in a hospital is low-level waste (LLW).</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the percentage of technetium-99m remaining after 24.0 hours.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Technetium-99 decays further, emitting beta radiation. Formulate the equation for the decay of technetium-99.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline what is meant by low-level waste.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline the disposal of LLW.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Magnetic resonance imaging (MRI) is an application of NMR technology using radiowaves.</span></p>
<p><span style="background-color: #ffffff;">Suggest why MRI is much less dangerous than imaging techniques such as X-rays and radiotracers. Use section 3 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em><strong>Alternative 1</strong></em><br>half-lives = « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{24}}{{6.0}}">
<mfrac>
<mrow>
<mn>24</mn>
</mrow>
<mrow>
<mn>6.0</mn>
</mrow>
</mfrac>
</math></span> =» 4.0 <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«N(t) (%) = 100(0.5)<sup>4</sup> =» 6.3 «%» <strong>[✔]</strong></span></p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “6.25 «%»”.</span></em></p>
<p><span style="background-color: #ffffff;"><br><em><strong>Alternative 2</strong></em><br><em>λ =</em>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\ln 2}}{{{t_{\frac{1}{2}}}}} = \frac{{\ln 2}}{{6.0}}">
<mfrac>
<mrow>
<mi>ln</mi>
<mo></mo>
<mn>2</mn>
</mrow>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mi>ln</mi>
<mo></mo>
<mn>2</mn>
</mrow>
<mrow>
<mn>6.0</mn>
</mrow>
</mfrac>
</math></span>» 0.116 hour<sup>–1</sup> <strong><em>OR</em></strong> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{N_t}}}{{{N_0}}}">
<mfrac>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mi>t</mi>
</msub>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mn>0</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span>=e<sup>–0.116 × 24</sup> <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">6.3 «%» <strong>[✔]</strong></span></p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><sup>99</sup>Tc → <sup>99</sup>Ru + β<sup>–</sup></span></p>
<p><span style="background-color: #ffffff;"><br>Ru <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">mass number of Ru <em><strong>AND</strong> </em>beta product <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “e/e<span style="display: inline !important;float: none;background-color: #ffffff;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;">–</span>/<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{0}{{ - 1}}">
<mfrac>
<mn>0</mn>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</mfrac>
</math></span> e<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> for “<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;">β</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></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">small/low amounts of radiation <em><strong>AND</strong> </em>for a short time <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “weakly ionizing radiation” instead of “small amounts of radiation”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “short half-lives” instead of “for a short time”.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">stored in shielded containers until radiation level drops «to a safe level» <strong>[✔]</strong></span></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">lower frequency/longer wavelength/lower energy<br><em><strong>OR</strong></em><br>does not use ionizing radiation/radionuclides <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Do <strong>not</strong> accept “does not cause cancer”.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates correctly determined the % of technetium-99m remaining after 24.0 hours. Some candidates did not read the question properly and forgot to convert to a percentage.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A common incorrect answer was to give Tc as a product or to give an incorrect symbol for beta radiation. Most candidates scored a mark for the correct mass number of the product and beta radiation.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Low level nuclear waste was poorly outlined with many superficial responses. Many candidates only gave half the required answer.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Outlining the disposal of LLW was also challenging with many candidates saying that it should be put in a container without saying the container should be shielded.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Suggesting why MRI is less dangerous than using X-rays and radiotracers was mostly answered well, but some candidates were confused and linked longer wavelengths with higher energy.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Excess acid in the stomach can cause breakdown of the stomach lining.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline how ranitidine (Zantac) inhibits stomach acid production.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline <strong>two</strong> advantages of taking ranitidine instead of an antacid which neutralizes excess acid.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Some antacids contain carbonates.</span></p>
<p><span style="background-color: #ffffff;">Determine the pH of a buffer solution which contains 0.160 mol dm<sup>−3</sup> CO<sub>3</sub><sup>2−</sup> and 0.200 mol dm<sup>−3</sup> HCO<sub>3</sub><sup>−</sup>, using section 1 of the data booklet.</span></p>
<p><span style="background-color: #ffffff;">p<em>K</em><sub>a</sub> (HCO<sub>3</sub><sup>−</sup>) = 10.32</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">blocks/binds H2/histamine receptors «in cells of stomach lining»<br><em><strong>OR</strong></em><br>prevents histamine molecules binding to H2/histamine receptors «and triggering acid secretion» <strong>[✔]</strong></span></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>ranitidine can be effective in treating ulcers «but antacid is not» <strong>[✔]</strong><br>ranitidine can prevent long-term damage «from overproduction of acid and antacid does not» <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>ranitidine has a long-term effect «and antacid has short-term effect only» <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>ranitidine does not affect ionic balance in body «and antacid does» <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>ranitidine does not produce bloating/flatulence <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>
<p> </p>
<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></span><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;">:</strong> Accept “ranitidine stops the over production of acid in the stomach while antacids neutralise the excess acid<br>giving temporary relief” for M2.</span></em></span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«pH = p<em>K</em><sub>a</sub> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" + \log \frac{{[{{\text{A}}^ - }]}}{{[{\text{HA]}}}} = 10.32 + \log \frac{{0.160}}{{0.200}} = 10.32 - 0.097">
<mo>+</mo>
<mi>log</mi>
<mo></mo>
<mfrac>
<mrow>
<mo stretchy="false">[</mo>
<mrow>
<msup>
<mrow>
<mtext>A</mtext>
</mrow>
<mo>−</mo>
</msup>
</mrow>
<mo stretchy="false">]</mo>
</mrow>
<mrow>
<mo stretchy="false">[</mo>
<mrow>
<mtext>HA]</mtext>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mn>10.32</mn>
<mo>+</mo>
<mi>log</mi>
<mo></mo>
<mfrac>
<mrow>
<mn>0.160</mn>
</mrow>
<mrow>
<mn>0.200</mn>
</mrow>
</mfrac>
<mo>=</mo>
<mn>10.32</mn>
<mo>−</mo>
<mn>0.097</mn>
</math></span>»<br>«pH =»10.22 <strong>[✔]</strong></span></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Some candidates were not confident enough in their answers to receive a mark while others confused the action of ranitidine which blocks H2 receptors with omeprazole which is a proton pump inhibitor.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>While most candidates were awarded at least one of the two marks possible for this question some of the descriptions were too vague or incomplete to receive a mark.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This was generally a well-answered question. Most candidates who did not receive the mark inverted the concentration of the conjugate base/concentration of the acid in the calculation.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>The structure of penicillin is shown in section 37 of the data booklet.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the internal bond angles in the b-lactam ring and the expected bond angles in sp<sup>2</sup> and sp<sup>3</sup> hybridised atoms.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain how the open β-lactam ring kills bacteria.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State how the structure of penicillin can be modified to combat the effect of resistance caused by over prescription.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why human cells are not affected by penicillin.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Accept “109º”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«irreversibly» binds/bonds to enzyme/transpeptidase</p>
<p><em><strong>OR</strong></em></p>
<p>inhibits enzyme/transpeptidase «in bacteria» that produces cell walls</p>
<p><em><strong>OR</strong></em></p>
<p>prevents cross-linking of bacterial cell walls ✔</p>
<p> </p>
<p>cells absorb water <em><strong>AND</strong> </em>burst</p>
<p><em><strong>OR</strong></em></p>
<p>cells cannot reproduce ✔</p>
<p> </p>
<p><em>Accept “reacts with” for “bonds to” for M1.</em></p>
<p><em>Do <strong>not</strong> accept “cell membrane” for “cell wall” for M1.</em></p>
<p><em>Accept “cells burst due to osmotic pressure” for M2.</em></p>
<p><em>Accept “bacteria” for “cells” for M2.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«modify» side-chain ✔</p>
<p> </p>
<p><em>Accept “«modify» R”.</em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no cell walls</p>
<p><em><strong>OR</strong></em></p>
<p>humans do not have transpeptidase ✔</p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;"><em>Staphylococcus aureus</em> (<em>S. aureus</em>) infections have been successfully treated with penicillin and penicillin derivatives.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the feature in penicillin responsible for its antibiotic activity.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The widespread use of penicillin and its derivatives has led to the appearance of resistant <em>S. aureus</em> strains.</span></p>
<p><span style="background-color: #ffffff;">Outline how these bacteria inactivate the antibiotics.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline how the structure of penicillin has been modified to overcome this resistance.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«four-membered» beta-lactam ring <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept a diagram showing a structural representation of the beta-lactam ring.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">produce penicillinase/enzyme that deactivates penicillin <strong>[✔]</strong></span></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">side-chain changed «preserving beta-lactam ring» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “R group changed”.</span></em></p>
<div class="question_part_label">b(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates correctly identified the feature in penicillin responsible for its antibiotic activity.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could outline how bacteria inactivate the antibiotics.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Outlining how the structure of penicillin has been modified was less well answered, with many candidates referring to functional groups rather than the side chain or R group.</p>
<div class="question_part_label">b(ii).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Methadone is a synthetic opiate administered as a racemic mixture to treat strong pain and morphine or heroin dependence.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right: auto; margin-left: auto; display: block;" 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" width="246" height="205"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the chiral carbon atom using an asterisk, *.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Enantiomers can be identified using a polarimeter. Outline how this instrument differentiates the enantiomers.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="221" height="177"> <strong>[<span style="background-color: #ffffff;">✔]</span></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«plane-»polarized light passed through sample <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><br>analyser/second polarizer determines angle of rotation of plane of plane-polarized light<br><em><strong>OR</strong></em><br>each enantiomer rotates plane «of plane-polarized light» in opposite directions «by the same angle» <strong>[✔]</strong></span></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>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.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>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.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Taxol is a drug that was once obtained from yew trees and is now produced using chiral auxiliaries.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Examine the synthesis of taxol in terms of green chemistry criteria.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline the operation of a polarimeter used to distinguish between enantiomers.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>produced by genetically engineered/modified bacteria/<em>E. coli</em><br><em><strong>OR</strong></em><br>sustainable because synthesized and not obtained from yew trees <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">chiral auxiliaries «isolated and» reused <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>
<p><span style="background-color: #ffffff;">one enantiomer produced <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>
<p><span style="background-color: #ffffff;">toxicity/recycling of solvents/materials used <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>
<p><span style="background-color: #ffffff;">overall yield/atom economy/waste generated <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>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>«plane-» polarized light<br><em><strong>OR</strong></em><br>light passes through polarizer/polarizing filter <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">enantiomers rotate plane of «plane-» polarized light «by equal angles» in opposite directions <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>
<p><span style="background-color: #ffffff;">measure angle/direction of rotation <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>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The synthesis of taxol in terms of green chemistry criteria invited varied responses. While some candidates were precise in their answers but others lost focus and wrote something about green chemistry.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The operation of a polarimeter to distinguish between enantiomers was generally well handled by the candidates while some missed stating to measure the angle/direction of rotation.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Antiviral medications have recently been developed for some viral infections.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline <strong>one</strong> way in which antiviral drugs work.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Discuss <strong>two</strong> difficulties associated with solving the AIDS problem.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em><br>alter cell’s genetic material so that virus cannot use it to multiply <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">prevent viruses from multiplying by blocking enzyme activity within host cell<br><em><strong>OR</strong></em><br>inhibit the synthesis of viral components by blocking enzymes inside the cell <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>
<p><span style="background-color: #ffffff;">prevent viruses from entering «host» cell<br><em><strong>OR</strong></em><br>bind to cellular receptors targeted by viruses<br><em><strong>OR</strong></em><br>bind to virus-associated proteins/VAPs which target cellular receptors<br><em><strong>OR</strong></em><br>prevents removal of protein coat/capsid<br><em><strong>OR</strong></em><br>prevents injection of viral DNA/RNA into cell <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>
<p><span style="background-color: #ffffff;">prevent/hinder the release of viruses from the cell <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>
<p> </p>
<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 “prevents synthesis of virus by host cell”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “alters RNA/DNA/genetic material of virus”. </span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept just “mimics nucleotides”.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of</em>:<br>viruses lack cell structure so difficult to target with drugs <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">HIV is a retrovirus<br><em><strong>OR</strong></em><br>HIV genetic material is in the form of RNA instead of DNA <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>
<p><span style="background-color: #ffffff;">HIV affects/destroys helper/T-cells which are necessary to fight infection <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>
<p><span style="background-color: #ffffff;">HIV has great genetic diversity so difficult to produce «a» vaccine <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>
<p><span style="background-color: #ffffff;">anti-retroviral agents are expensive so not everyone/country can afford them <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>
<p><span style="background-color: #ffffff;">socio-cultural issues deter people from seeking treatment/prevention/diagnosis<br><em><strong>OR</strong></em><br>lack of education/conversation/stigma associated with being HIV-positive <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>
<p><span style="background-color: #ffffff;">mutation of virus/HIV <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>
<p><span style="background-color: #ffffff;">virus/HIV metabolism linked to that of host cell <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>
<p><span style="background-color: #ffffff;">drugs harm host cell as well as virus/HIV <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>
<p><span style="background-color: #ffffff;">HIV difficult to detect/remains dormant <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>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Candidates responded fairly well to this question. Candidates who did not receive a mark were either too vague or discussed anti-bacterial methods.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were awarded at least one of the two marks possible for this question. Some student responses were too vague or discussed the social and political issues surrounding the AIDS crisis. There were also some responses, which only talked about AIDS extensively with no mention of the virus.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Taxol is an anticancer drug.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">State the feature of Taxol that is a major challenge in its synthesis. Use section 37 of the data booklet.</span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Describe how the challenge in (a) was resolved by pharmaceutical companies.</span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">numerous stereoisomers/chiral carbons/chiral centres/stereocentres/optical isomers ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept exact number of chiral carbons ie 11, but do <strong>not</strong> accept just “chiral”.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">chiral auxiliaries/molecule binds to reactant blocking one reaction site «by steric hindrance»<br><em><strong>OR</strong></em><br>asymmetric synthesis / enantioselective catalysis «producing a specific enantiomer»<br><em><strong>OR</strong></em><br>biosynthesis / genetically modified bacteria/microorganisms ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept “use of a chiral auxiliary leading to «the synthesis of» the desired enantiomer”.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">A student synthesized aspirin, acetylsalicylic acid, in a school laboratory.</span></p>
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,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" width="209" height="272"></span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">0.300 g of crude aspirin was dissolved in ethanol and titrated with sodium hydroxide solution, NaOH (aq).</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">NaOH (aq) + C<sub>9</sub>H<sub>8</sub>O4 (in ethanol) → NaC<sub>9</sub>H<sub>7</sub>O<sub>4</sub> (aq) + H<sub>2</sub>O (l)</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict <strong>one</strong> absorption band present in an infrared (IR) spectrum of aspirin, using section 26 of the data booklet.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the mass of aspirin which reacted with 16.25 cm<sup>3</sup> of 0.100 mol dm<sup>−3</sup> NaOH solution.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the percentage purity of the synthesized aspirin.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline how aspirin can be chemically modified to increase its solubility in water.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State why aspirin should not be taken with alcohol.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em><br>1050–1410 «cm<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;"><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</sup> due to C–O» <strong>[✔]</strong><br>1700<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>1750 «cm<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;"><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</sup> due to C=O in acids and esters» <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>2500<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>3000 «cm<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;"><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</sup> due to O–H in acids» <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>2850<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>3090 «cm<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>1</sup> due to C–H in alkanes and arenes» <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>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">n(aspirin) «= n(NaOH) = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{16.25{\text{ c}}{{\text{m}}^3}}}{{{\text{1000}}}}">
<mfrac>
<mrow>
<mn>16.25</mn>
<mrow>
<mtext> c</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>1000</mtext>
</mrow>
</mrow>
</mfrac>
</math></span> × 0.100 mol dm<span style="display: inline !important;float: none;background-color: #ffffff;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;">–3</span> »= 1.625 × 10<sup>–3</sup> «mol» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">m(aspirin) «= 1.625 × 10<sup>–3</sup> mol × 180.17 g mol<sup>–1</sup> »= 0.293 «g» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Award<strong> [2] </strong>for correct final answer.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">« <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.293{\text{ g}}}}{{{\text{0}}{\text{.300 g}}}}">
<mfrac>
<mrow>
<mn>0.293</mn>
<mrow>
<mtext> g</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>0</mtext>
</mrow>
<mrow>
<mtext>.300 g</mtext>
</mrow>
</mrow>
</mfrac>
</math></span> × 100 % »= 97.7 «%» <strong>[✔]</strong></span></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">convert to a salt<br><em><strong>OR</strong></em><br>react with sodium hydroxide <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept other reactions forming soluble salts.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “to ionize” but <strong>not</strong> “more polar”.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">synergistic effect/increased toxicity<br><em><strong>OR</strong></em><br>increased risk of stomach/intestines bleeding/ulcers/heartburn<br><em><strong>OR</strong></em><br>increased risk of liver toxicity/damage<br><em><strong>OR</strong></em><br>increased risk of nausea/vomiting <strong>[✔]</strong></span></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>This was a very well answered question. Even weak candidates were able to identify one correct absorption band present in an infrared spectrum of aspirin.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A significant number of candidates were able to calculate the mass of aspirin correctly.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A significant number of candidates were able to calculate the percentage purity of aspirin correctly although some managed an ECF mark.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This part was reasonably answered by most candidates.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This part was well answered by the majority of the candidates.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p>Opiates are strong analgesics.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain why diamorphine (heroin) crosses the blood–brain barrier more easily than morphine.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline the meaning of the bioavailability of a drug.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>blood-brain barrier is hydrophobic/non-polar/made of lipids ✔</p>
<p>morphine has hydroxyl/OH «groups»/is more polar <em><strong>AND</strong> </em>diamorphine has ester/ethanoate/OCOCH<sub>3</sub>/acetate «groups»/is less polar/is lipid soluble ✔</p>
<p> </p>
<p><em>Accept “fats” for “lipid”.</em></p>
<p><em>Accept “alcohol/hydroxy” for “hydroxyl” but <strong>not </strong>“hydroxide”.</em></p>
<p><em>Accept “non-polar” for “less polar” in M2.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>fraction/proportion/percentage of «administered dosage» enters blood/plasma/circulation ✔</p>
<p> </p>
<p><em>Accept “fraction/proportion/percentage of «administered dosage» that reaches target «part of human body»”.</em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Opium and its derivatives have been used for thousands of years as strong analgesics.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain how opiates act to provide pain relief.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Discuss how the difference in structure of two opiates, codeine and morphine, affect their ability to cross the blood–brain barrier. Use section 37 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«temporarily» bond/bind to «opioid» receptors in the brain/CNS <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">block the transmission of pain impulses <strong>[✔]</strong></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«codeine crosses blood–brain barrier more easily» morphine has more hydroxyl/OH «groups than codeine» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">codeine/ether group is less polar<br><em><strong>OR</strong></em><br> hydroxyl/OH «groups in morphine» H-bond to water <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Award<strong> [1 max] </strong>if no statement or an incorrect statement about the blood–brain barrier.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The question asked candidates to explain how opiates provide pain relief. This was difficult and was poorly answered by many. As this has been asked many times over the years, it would be an advantage to candidates to practise answering past examination questions.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The explanation that required a discussion of the difference in structure of codeine and morphine, and how this affects their ability to cross the blood-brain barrier was challenging. Many scored for saying “codeine is less polar”. Some also scored for saying that “morphine has more hydroxyl groups” but others provided less detail and could not be awarded any marks.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Nuclear isotopes are used in the treatment of cancer.</p>
</div>
<div class="specification">
<p>Gamma radiation is also used in radiotherapy.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Alpha particles are more damaging to human cells than any other nuclear radiation and yet they are used in targeted alpha therapy (TAT).</p>
<p>Explain how TAT is relatively safe to use in the treatment of dispersed cancers.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Technetium-99m (<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{43}^{99{\text{m}}}{\text{Tc}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>43</mn>
</mrow>
<mrow>
<mn>99</mn>
<mrow>
<mtext>m</mtext>
</mrow>
</mrow>
</msubsup>
<mrow>
<mtext>Tc</mtext>
</mrow>
</math></span>) has a half-life of 6.0 hours. Calculate the percentage of <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_{43}^{99{\text{m}}}{\text{Tc}}">
<msubsup>
<mrow>
</mrow>
<mrow>
<mn>43</mn>
</mrow>
<mrow>
<mn>99</mn>
<mrow>
<mtext>m</mtext>
</mrow>
</mrow>
</msubsup>
<mrow>
<mtext>Tc</mtext>
</mrow>
</math></span> remaining in a sample of the radioisotope after two days.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why the percentage of technetium-99m remaining in the human body two days after injection will be lower than that calculated in (b)(i).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.ii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>«alpha emitter» carried to/selectively absorbed by cancer cells «by antibody, carrier drug, protein» ✔</p>
<p> </p>
<p>low penetrating power</p>
<p><em><strong>OR</strong></em></p>
<p>short range ✔</p>
<p> </p>
<p><em>Do <strong>not</strong> accept just “targets cancer cells and does not affect healthy cells”.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1:</strong></em></p>
<p>«<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{40}}{{6.0}}">
<mfrac>
<mrow>
<mn>40</mn>
</mrow>
<mrow>
<mn>6.0</mn>
</mrow>
</mfrac>
</math></span> =» 8 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{t_{\frac{1}{2}}}">
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msub>
</mrow>
</math></span>/8 half-lives «required» ✔</p>
<p>% remaining = «(0.5)<sup>8</sup> × 100 =» 0.39 «%» ✔</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p><em>λ</em> = «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.693}}{{6.0}}">
<mfrac>
<mrow>
<mn>0.693</mn>
</mrow>
<mrow>
<mn>6.0</mn>
</mrow>
</mfrac>
</math></span> =» 0.1155 ✔</p>
<p>% remaining = «100 × <em>e</em><sup>–0.1155 × 48</sup> =» 0.39 «%» ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<p><em>Accept “0.32 «%»” in <strong>ALTERNATIVE 2</strong>.</em></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>removed by excretion ✔</p>
<p> </p>
<p><em>Accept any method of excretion.</em></p>
<div class="question_part_label">b.ii.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.ii.</div>
</div>
<br><hr><br><div class="specification">
<p>Many drugs, including aspirin, penicillin, codeine and taxol, have been modified from compounds that occur naturally.</p>
</div>
<div class="question">
<p>Many drugs are chiral. Explain how a polarimeter can be used to determine the relative proportion of two enantiomers.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><strong>«</strong>pure<strong>»</strong> enantiomers rotate the plane <strong>«</strong>of plane-<strong>»</strong>polarized light <strong>«</strong>by equal angles<strong>» </strong>in opposite directions</p>
<p> </p>
<p><em>Any two of:</em></p>
<p>find angle of rotation of pure enantiomers</p>
<p>measure angle of rotation of mixture</p>
<p>mixture has angle between that of two enantiomers</p>
<p>ratio of angles gives purity</p>
<p> </p>
<p><em><strong>[3 marks]</strong></em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Mild heartburn is treated with antacids such as calcium carbonate.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Formulate an equation for the neutralization of stomach acid with calcium carbonate, CaCO<sub>3</sub> (s).</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Acid secretion can be regulated by other types of drugs such as omeprazole and ranitidine. Outline how each of these drugs acts to reduce excess stomach acid.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Omeprazole:</span></span></p>
<p>Ranitidine<span style="background-color: #ffffff;"><span style="background-color: #ffffff;">:</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">CaCO<sub>3</sub> (s) + 2HCl (aq) → CO<sub>2</sub> (g) + CaCl<sub>2</sub> (aq) + H<sub>2</sub>O (l) <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept balanced ionic equations involving “H<sup>+</sup>” or “H<sub>3</sub>O<sup>+</sup>”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> accept “H<sub>2</sub>CO<sub>3</sub>”.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Omeprazole</em>:<br>inhibits enzyme/«gastric» proton pump «which secretes H<sup>+</sup> ions into gastric juice» <br><em><strong>OR<br></strong> </em>inhibits the H<sup>+</sup>/K<sup>+</sup>-ATPase system <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><br><em>Ranitidine</em>:<br>inhibits/blocks H2/histamine receptors «in cells of stomach lining»<br><em><strong>OR</strong></em><br>prevents histamine binding to H2/histamine receptors «and triggering acid secretion» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “H2-receptor antagonist” for M2.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Responses were mixed with some candidates easily writing an equation for the neutralization of stomach acid with CaCO<sub>3</sub>. Others failed to score for having incorrect products such as H<sub>2</sub>CO<sub>3</sub> or CaCl, or for using sulfuric acid instead of hydrochloric for stomach acid.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many candidates correctly outlined how drugs such as omeprazole and ranitidine regulate acid secretion.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Medicines and drugs are tested for effectiveness and safety.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Distinguish between therapeutic window and therapeutic index in humans.</span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Therapeutic window:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Therapeutic index:</span></span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why diamorphine (heroin) is more potent than morphine using section 37 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Therapeutic window:</em><br>range of dosage «over which a drug» provides the therapeutic/desired effect without causing adverse/toxic effects <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Therapeutic index</em>:<br>toxic dose of drug for 50 % of population divided by minimum effective dose for 50 % of population<br><em><strong>OR</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{\text{TD50}}}}{{{\text{ED50}}}}">
<mfrac>
<mrow>
<mrow>
<mtext>TD50</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<mtext>ED50</mtext>
</mrow>
</mrow>
</mfrac>
</math></span> <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><strong><em>Note</em>: </strong><em>M1 may be scored from a correctly labelled diagram.</em></span></p>
<p><span style="background-color: #ffffff;"><em>Do <strong>not</strong> accept reference to lethal dose used in therapeutic index in animal studies.</em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">morphine has «two» hydroxyl groups <em><strong>AND</strong> </em>diamorphine has «two» ester/ethanoate/acetate groups<br><em><strong>OR</strong></em><br>molecule of diamorphine is less polar than morphine<br><em><strong>OR</strong></em><br>groups in morphine are replaced with less polar/non-polar groups in diamorphine <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«less polar molecules» cross the blood–brain barrier faster/more easily<br><em><strong>OR</strong></em><br>diamorphine is more soluble in non-polar environment of CNS/central nervous system than morphine <strong>[✔]</strong></span></p>
<p> </p>
<p><em><strong>Note: </strong><span style="background-color: #ffffff;">Accept “alcohol/hydroxy” for “hydroxyl” but not “hydroxide”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “fats” for “lipid”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “heroin” for “diamorphine”.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Most candidates receive one mark for this question, mainly for the therapeutic window. Some candidates inverted the ratio as ED50/TD50 for therapeutic index.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>This part was reasonably well answered with some very good answers.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>A number of drugs have been developed to treat excess acidity in the stomach.</p>
</div>
<div class="question">
<p>Outline how ranitidine (Zantac) functions to reduce stomach acidity.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>Blocks/binds H2-histamine receptors «in cells of stomach lining»<br><em><strong>OR</strong></em><br>prevents histamine molecules binding to H2-histamine receptors «and triggering acid secretion»</p>
<p> </p>
<p><em>Accept “H2 receptor antagonist”</em></p>
<p><strong><em>[1 mark]</em></strong></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Technetium-99m, Tc-99m, is a gamma-ray emitter commonly used as a medical tracer.</span></p>
<p><span style="background-color: #ffffff;">Its half-life is 6.0 hours.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Evaluate the suitability of technetium-99m for this use.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Calculate the percentage of technetium-99m remaining after 10.0 hours. Use section 1 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>can be readily “tagged” to variety of biologically active carriers «which will deliver it to specific locations for imaging uses» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">frequency of radiation is compatible with existing X-ray detection apparatus <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>
<p><span style="background-color: #ffffff;">product of decay has low radioactivity/relatively short half-life/low total exposure to patient <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>
<p><span style="background-color: #ffffff;">«but small» increased risk of cancer to patient <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>
<p><span style="background-color: #ffffff;">must be made on site <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>
<p> </p>
<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 other valid answers outlining advantages or limitations of Tc-99m, such as “produces only LLW”, “Tc is a transition element forming compounds in a variety of oxidation states”, “gamma-radiation «can escape the body and» be detected by external sensors”, “activity decreases quickly, so dose must be calculated prior to each injection”.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em><strong>ALTERNATIVE 1</strong></em></p>
<p><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{N(t)}}{{{N_0}}} = {\left( {\frac{1}{2}} \right)^{\frac{{10}}{{6.0}}}}">
<mfrac>
<mrow>
<mi>N</mi>
<mo stretchy="false">(</mo>
<mi>t</mi>
<mo stretchy="false">)</mo>
</mrow>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mn>0</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
<mrow>
<mfrac>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mn>6.0</mn>
</mrow>
</mfrac>
</mrow>
</msup>
</mrow>
</math></span></span><em> </em><strong>[</strong><span style="background-color: #ffffff;"><strong>✔]</strong><br>31 «% remaining» <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>
<p> </p>
<p><em><strong><span style="background-color: #ffffff;">ALTERNATIVE 2</span></strong></em></p>
<p><em><strong><span style="background-color: #ffffff;"><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;">λ <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></span></strong></em><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\ln 2}}{{{t_{\frac{1}{2}}}}}">
<mfrac>
<mrow>
<mi>ln</mi>
<mo></mo>
<mn>2</mn>
</mrow>
<mrow>
<mrow>
<msub>
<mi>t</mi>
<mrow>
<mfrac>
<mn>1</mn>
<mn>2</mn>
</mfrac>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</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>= 0.1155 hours<sup>–1</sup></span><strong><span style="background-color: #ffffff;"> [</span><span style="background-color: #ffffff;">✔</span></strong><strong><span style="background-color: #ffffff;">]</span></strong></p>
<p><em><strong><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 class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{N}{{{N_0}}}">
<mfrac>
<mi>N</mi>
<mrow>
<mrow>
<msub>
<mi>N</mi>
<mn>0</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span> × 100 = e<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: italic;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">λ</span>t</sup> ×100 = 0.31498 × 100»</span></span></strong></em></p>
<p><em><strong><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;">31 «% remaining» </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><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></strong></em></p>
<p> </p>
<p><span style="font-size: 14px;"><em><strong><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></span></strong><strong><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;">: </strong></span></strong><span style="background-color: #ffffff;">M1 is for correct substitution of values.</span></em></span></p>
<p><span style="font-size: 14px;"><em><span style="background-color: #ffffff;">Award</span><strong><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;"> [2]</strong></span></strong><span style="background-color: #ffffff;"> for correct final answer.</span></em></span></p>
<p> </p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>The most frequent response was the short half-life, followed by the emission and detection of gamma radiation.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates were able to calculate the percentage of technetium-99m correctly.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Codeine, morphine and diamorphine (heroin) are derived from opium.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Explain why diamorphine has greater potency than morphine.</span></span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Experimental research on both animals and humans contributes to the development of pharmaceuticals.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">State the meaning of the term therapeutic index in human studies.</span></span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any three of:</em><br>morphine has «two» hydroxyl «groups» <em><strong>AND</strong> </em>diamorphine has «two» ester/ethanoate/acetate «groups» ✔<br></span></p>
<p><em>NOTE: Accept “heroin” for “diamorphine”. </em><br><em>Accept formulas. </em><br><em>Accept “hydroxy” for “hydroxyl” but <strong>not</strong> “hydroxide”. </em><br><em>Accept “acyl” for “ester «groups»”.</em><span style="background-color: #ffffff;"><br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">morphine is more polar than diamorphine<br><em><strong>OR</strong></em><br>groups in morphine are replaced with less polar/non-polar groups in diamorphine ✔<br></span></p>
<p><span style="background-color: #ffffff;"><em>NOTE: Do <strong>not</strong> accept just “diamorphine is non-polar” for M2.</em><br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">morphine is «more» soluble in blood «plasma»<br><em>NOTE: Accept “water” for “blood”.</em><br><em><strong>OR</strong></em><br>diamorphine is «more» soluble in lipids<br><em>NOTE: Accept “fats” for “lipid”.</em><br><em><strong>OR</strong></em><br>diamorphine is more soluble in non-polar environment of CNS/central nervous system than morphine ✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;">diamorphine crosses the blood–brain barrier/BBB «easily» ✔</span></p>
<p> </p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">toxic dose for 50% of population divided by «minimum» effective dose for 50 % of population ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept “TD50/ED50”.<br>Reference to 50% required.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">The presence of alcohol in the breath can be detected using a breathalyzer.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe how a fuel cell breathalyser works.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Alcohol levels in the breath can also be determined using IR spectroscopy.</span></p>
<p><span style="background-color: #ffffff;">Suggest, giving a reason, which bond’s absorbance is most useful for detecting ethanol in breath.</span></p>
<p>Bond: </p>
<p>Reason:</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any three of</em>:<br>ethanol «in breath» is oxidized «to ethanoic acid» <strong>[✔]</strong><br>electrons pass through external circuit/meter <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>«to cathode where» O<sub>2</sub> is reduced <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>current is proportional to alcohol concentration <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>
<p> </p>
<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 equations for oxidation of ethanol or reduction of oxygen.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Bond:</em><br>C–O<br><em><strong>OR</strong></em><br>C–H <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Reason</em>:<br>cannot use O–H bonds as in water «found in breath» <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>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept “C–O/C–H «bonds in molecules in breath» most likely to be in ethanol”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> apply ECF here.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>While many scored the first marking point, full marks were rarely seen. Many candidates mixed up this and a dichromate breathalyser.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates incorrectly identified O-H, failing to realise it is unsuitable due to its abundant presence in the breath.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">The discovery of penicillins contributed to the development of antibiotics.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain how the beta-lactam ring is responsible for the antibiotic properties of penicillin. Refer to section 37 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Outline the impact of antibiotic waste on the environment.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest a concern about the disposal of solvents from drug manufacturing.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Discuss <strong>two</strong> difficulties, apart from socio-economic factors, associated with finding a cure for AIDS.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">ring is «sterically» strained<br><em><strong>OR</strong></em><br>angles of 90° instead of 109.5/109/120° angles<br><em><strong>OR</strong></em><br>angles smaller than 109.5/109/120°/tetrahedral/trigonal planar/triangular planar angle ✔</span></p>
<p><span style="background-color: #ffffff;">ring breaks up/opens/reacts «easily»<br><em><strong>OR</strong></em><br>amido/amide group «in ring» is «highly» reactive ✔</span></p>
<p><span style="background-color: #ffffff;">«irreversibly» binds/bonds to enzyme/transpeptidase<br><em><strong>OR</strong></em><br>inhibits enzyme/transpeptidase «in bacteria» that produces cell walls<br><em><strong>OR</strong></em><br>prevents cross-linking of «bacterial» cell walls ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept arguments using correct descriptions of hybridization for M1.<br>Do <strong>not</strong> accept "breaks/binds to cell walls" – a reference to the enzyme is needed for alternatives 1 and 2 for M3. <br>Do <strong>not</strong> accept "cell membrane" for "cell wall".</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">«leads to bacterial» resistance «to antibiotics»<br><em><strong>OR</strong></em><br>destroys useful/beneficial bacteria<br><em><strong>OR</strong></em><br>useful/beneficial/less harmful bacteria replaced with «more» harmful bacteria ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept “affects/disturbs micro-ecosystems”.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em><br>«most are» toxic «to living organisms»<br><em><strong>OR</strong></em><br>incomplete combustion/incineration can produce toxic products/dioxins/phosgene<br><em><strong>OR</strong></em><br>carcinogenic/can cause cancer ✔<br><em>NOTE: Do <strong>not</strong> accept “harmful to the environment”.</em><br></span></p>
<p><span style="background-color: #ffffff;">accumulate in groundwater<br><em><strong>OR</strong></em><br>have limited biodegradability ✔<br><em>NOTE: Do <strong>not</strong> accept just “pollutes water”.</em><br></span></p>
<p><span style="background-color: #ffffff;">cost of disposal ✔<br><em>NOTE: Do <strong>not</strong> accept “hazard of disposal”.</em><br></span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept “ozone depletion” only if there is some reference to chlorinated solvents.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br></span></p>
<p><span style="background-color: #ffffff;">HIV difficult to detect/remains dormant ✔<br></span></p>
<p><span style="background-color: #ffffff;">HIV mutates rapidly/quickly ✔<br></span></p>
<p><span style="background-color: #ffffff;">HIV replicates rapidly/quickly ✔<br></span></p>
<p><span style="background-color: #ffffff;">HIV destroys «T-»helper cells/white blood cells/lymphocytes<br><em><strong>OR</strong></em><br>HIV attacks immune system ✔<br></span></p>
<p><span style="background-color: #ffffff;">HIV has several «significantly different» strains/subtypes ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept “virus” for “HIV”.<br>Do <strong>not</strong> accept “AIDS mutates” without mention of the HIV/virus.<br>Penalize the use of “AIDS” for “HIV” once only.<br>Accept “HIV metabolism linked to that of host cell” <strong>OR</strong> “drugs harm host cell as well as HIV”.</span></em></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Aspirin can be obtained from salicylic acid.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Additional information can be obtained from the <sup>1</sup>H NMR spectrum of aspirin.</span></p>
<p><span style="background-color: #ffffff;"><img 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" width="513" height="396"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Unreacted salicylic acid may be present as an impurity in aspirin and can be detected </span><span style="background-color: #ffffff;">in the infrared (IR) spectrum.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right:auto;margin-left:auto;display: block;" 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" width="484" height="225"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Name the functional group and identify the absorption band that diff erentiates salicylic acid from aspirin. Use section 26 of the data booklet.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Name:</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Absorption band:</span></span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Deduce the protons responsible for signals <strong>X</strong> and <strong>Y</strong> by marking them on the structure of aspirin in (a). Use section 27 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the splitting pattern of signals <strong>X</strong> and <strong>Y</strong>.</span></p>
<p> </p>
<p><strong><span style="background-color: #ffffff;">X:</span></strong></p>
<p><strong><span style="background-color: #ffffff;">Y:</span></strong></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Name</em>: <br>hydroxyl <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Absorption band:</em><br>3200–3600 «cm<sup>–1</sup>» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><strong>Note: </strong><span style="background-color: #ffffff;">Accept “phenol” <strong>OR</strong> “alcohol” but <strong>not</strong> “hydroxide”.</span><span style="background-color: #ffffff;"> </span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p><span style="background-color: #ffffff;">correct <strong>X</strong> <strong>[✔]</strong><br>correct <strong>Y</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>
<p> </p>
<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>X and Y must be near the Hs.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><strong>X</strong>: singlet <em><strong>AND</strong> </em><strong>Y</strong>: singlet <strong> [✔]</strong></span></p>
<div class="question_part_label">b(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Many candidates scored a mark for naming a functional group that differentiates salicylic acid from aspirin. Some incorrectly said ether or carboxylic acid. Many candidates also scored for identifying the absorption band although 1700-1750 was a popular incorrect answer.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>There was considerable confusion with indicating protons responsible for <sup>1</sup>H NMR signals. Often entire functional groups were circled or carbon atoms and not hydrogen atoms were circled.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>There was also great difficulty in identifying the splitting pattern of the signals. It was rare to see both signals identified as singlets.</p>
<div class="question_part_label">b(ii).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Steroids are lipids with a steroidal backbone. The structure of cholesterol is shown in section 34 of the data booklet.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Infrared (IR) spectroscopy is used to identify functional groups in organic compounds.</span></p>
<p><img style="margin-right:auto;margin-left:auto;display: block;" src="data:image/png;base64,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" width="258" height="205"></p>
<p><span style="background-color: #ffffff;">Deduce the wavenumber, in cm<sup>−1</sup>, of an absorption peak found in the IR spectrum of testosterone but not in that of cholesterol.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Describe a technique for the detection of steroids in blood and urine.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain how redox chemistry is used to measure the ethanol concentration in a breathalyser.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">1700−1750 «cm<sup>−1</sup>» ✔<br><em>NOTE: Accept a specific wavenumber value within range.</em></span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any three of:</em> <br>sample/liquids vaporized «in oven/at high temperature» <br><em><strong>OR</strong> <br></em>sample injected into mobile phase/inert gas <br><em><strong>OR</strong> <br></em>nitrogen/helium/inert gas acts as mobile phase <br><em><strong>OR</strong> <br></em>sample carried by inert gas «through column» ✔<br><em>NOTE: Award <strong>[1 max]</strong> for identifying suitable technique (eg GC-MS etc.).<br>Do <strong>not</strong> accept just “gas”.<br>Accept description of HPLC using liquid mobile phase.</em><br></span></p>
<p><span style="background-color: #ffffff;">stationary phase consists of a packed column<br><strong><em>OR<br></em></strong>packing/solid support acts as stationary phase ✔<br><em>NOTE: Accept named stationary phase, such as «long-chain» hydrocarbon/polysiloxane/silica.</em><br></span></p>
<p><span style="background-color: #ffffff;">components separated by partition «between mobile phase and stationary phase» <br><em><strong>OR<br></strong></em> gases/liquids/components have different retention times/<em>R</em><sub>f</sub> <br><em><strong>OR<br></strong></em> gases/liquids/components move through tube/column at different speeds/rates ✔</span></p>
<p><span style="background-color: #ffffff;">detector/mass spectrometer/MS «at end of column» <br><em><strong>OR<br></strong></em> databases/library of known fragmentation patterns can be used ✔<br><em>NOTE: Accept “area under peak proportional to quantity/amount/concentration of component present «in mixture»”.</em><br></span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1</strong></em><br>oxidizing agent/«acidified» potassium dichromate(VI) converts ethanol to ethanoic acid ✔<br>colour change «from orange to green» is measured/analysed «using photocell» ✔</span></p>
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 2</strong></em><br>ethanol is oxidized to ethanoic acid «at anode and oxygen is reduced to water at cathode» ✔<br>current/voltage/potential is measured «by computer» <br><em><strong>OR</strong></em><br>current/voltage/potential is proportional to ethanol concentration ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept names or formulas for reagents.<br>Accept “«acidified» dichromate/Cr<sub>2</sub>O<sub>7</sub><sup>2−</sup>” for “K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>”.<br>Award <strong>[1 max]</strong> for "Cr(VI) going to Cr(III) <strong>AND</strong> colour changing/colour changing from orange to green". <br>Do <strong>not</strong> penalize incorrect oxidation state notation here.<br>Accept "EMF" for "voltage".</span></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Scientists have developed various analytical techniques.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State an analytical technique used to separate anabolic steroids from other compounds in an athlete’s urine or blood.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Ethanol in breath can be detected by a redox reaction. Outline this method of detection. An equation is not required.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>gas chromatography/GC</p>
<p><em><strong>OR</strong></em></p>
<p>high performance liquid chromatography/HPLC ✔ </p>
<p> </p>
<p><em>Accept “chromatography”, “TLC/thin-layer chromatography”, “paper chromatography” <strong>OR</strong> “extraction”.</em></p>
<p><em>Do <strong>not</strong> accept just “mass spectrometry/MS” but do <strong>not</strong> penalize any reference to MS with HPLC or GC (eg GC-MS).</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong><em>ALTERNATIVE 1:</em></strong></p>
<p><em>Any two of:</em></p>
<p>«blow through tube of» acidified «orange» potassium dichromate(VI)/K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>/dichromate/Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup> ✔</p>
<p>Cr(VI)/Cr<sup>6+</sup>/Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup> reduced to Cr(III)/Cr<sup>3+</sup>✔</p>
<p> </p>
<p>colour changes «from orange» to green</p>
<p><em><strong>OR</strong></em></p>
<p>colour change is monitored ✔</p>
<p> </p>
<p><em><strong>ALTERNATIVE 2:</strong></em></p>
<p>oxygen reduced to water</p>
<p><em><strong>OR</strong></em></p>
<p>ethanol oxidized to ethanoic/acetic acid ✔</p>
<p> </p>
<p>current measured ✔</p>
<p> </p>
<p><em>Accept “ethanol oxidized to ethanal/acetaldehyde”.</em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Viruses and bacteria both cause diseases and are frequently confused.</p>
</div>
<div class="question">
<p>Outline <strong>two</strong> different ways in which antiviral medications work.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p><em>Any two of:</em></p>
<p>prevents virus attaching to host cell ✔</p>
<p>alters cell’s genetic material/DNA «so that virus cannot use it to multiply» ✔</p>
<p>blocks enzyme activity in the host cell «so that virus cannot use it to multiply» ✔</p>
<p>prevents removal of protein coat/capsid ✔</p>
<p>prevents injection of viral DNA/RNA into cell ✔</p>
<p>prevents release of «replicated» viruses from host cell ✔</p>
<p> </p>
<p><em>Accept “prevents synthesis of virus by host cell”.</em></p>
<p><em>Accept “alters RNA/DNA/genetic material of virus”.</em></p>
<p><em>Do <strong>not</strong> accept just “mimics nucleotides”.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Nuclear medicine uses small amounts of radioisotopes to diagnose and treat some diseases.</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State <strong>two</strong> common side effects of radiotherapy.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why technetium-99m is the most common radioisotope used in nuclear medicine.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">25.0 μg of iodine-131, with a half-life of 8.00 days, was left to decay.</span></p>
<p><span style="background-color: #ffffff;">Calculate the mass of iodine-131, in μg, remaining after 32.0 days. Use section 1 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>hair loss<br>fatigue<br>nausea<br>sterility<br>skin reaction<br>diarrhoea<br>vomiting<br>damage to lymph system<br>urinary/bladder changes<br>anxiety/emotional problems<br>joint/muscular stiffness<br>loss of appetite<br>sore/dry mouth<br>loss of weight<br><span style="text-decoration: underline;">secondary</span> cancer ✔</span></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any two of:</em><br>half-life is 6 hours/long enough for a scan to occur<br><em><strong>OR</strong></em><br>half-life short enough not to remain in body ✔<br><em>NOTE: Accept “short half-life so patient is not exposed to lots of ionizing radiation”.</em><br></span></p>
<p><span style="background-color: #ffffff;">decay releases «low energy» gamma rays<br><em><strong>OR</strong></em><br>gamma rays less likely to be absorbed by cells ✔</span></p>
<p><span style="background-color: #ffffff;">can form several «coordination» complexes ✔<br><em>NOTE: Accept "can exist in many oxidation states «so can form multiple complexes»" <strong>OR</strong> "chemically versatile «so can act as a tracer by bonding to several bioactive compounds»”.</em><br></span></p>
<p><span style="background-color: #ffffff;">«low-energy» radiation/gamma-rays can be detected by common X-ray equipment ✔</span></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1</strong></em><br>4 half-lives ✔<br>1.56 «μg of iodine-131 remain» ✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 2</strong></em><br><em>m</em> = 25.0 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\left( {\frac{1}{2}} \right)^{\frac{{32.0}}{{8.00}}}}"><msup><mfenced><mfrac><mn>1</mn><mn>2</mn></mfrac></mfenced><mfrac><mn>32.0</mn><mn>8.00</mn></mfrac></msup></math></span> ✔<br>1.56 «μg of iodine-131 remain» ✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 3</strong></em><br><em>λ</em> = « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\ln 2}}{{8.00}}"><mfrac><mrow><mi>ln</mi><mo> </mo><mn>2</mn></mrow><mn>8.00</mn></mfrac></math></span> » = 8.66 × 10<sup>−2</sup> «da</span>y<sup>−1</sup><span style="background-color: #ffffff;">» ✔<br><em>m</em> = « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="25.0{\text{ }}{{\text{e}}^{ - 8.66 \times {{10}^{ - 2}} \times 32.0}} = "> <mn>25.0</mn> <mrow> <mtext> </mtext> </mrow> <mrow> <msup> <mrow> <mtext>e</mtext> </mrow> <mrow> <mo>−</mo> <mn>8.66</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>2</mn> </mrow> </msup> </mrow> <mo>×</mo> <mn>32.0</mn> </mrow> </msup> </mrow> <mo>=</mo> </math></span> » 1.56 «μg of iodine-131 remain» ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;">Award <strong>[2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Radiotherapy is one type of treatment for cancer.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe how ionizing radiation destroys cancer cells.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how Targeted Alpha Therapy (TAT) is used for treating cancers that have spread throughout the body.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>radiation causes breaks in DNA chains</p>
<p><strong><em>OR</em></strong></p>
<p>radiation causes errors in DNA sequences</p>
<p> </p>
<p><strong>«</strong>damage accumulates and<strong>» </strong>cells cannot multiply</p>
<p>rapidly dividing/cancer cells more susceptible</p>
<p> </p>
<p><em>Accept “alters DNA”.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>radiation source delivered directly to <strong>«</strong>targeted<strong>» </strong>cancer cells</p>
<p>by a carrier drug/protein/antibody</p>
<p>several sites in body can be targeted <strong>«</strong>at same time<strong>»</strong></p>
<p> </p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br>