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<h2>HL Paper 2</h2><div class="specification">
<p><span style="background-color: #ffffff;">The equations show steps in the formation and decomposition of ozone in the stratosphere, some of which absorb ultraviolet light.</span></p>
<p><span style="background-color: #ffffff;"><br>Step 1 O<sub>2</sub> → 2O•</span></p>
<p><span style="background-color: #ffffff;">Step 2 O• + O<sub>2</sub> → O<sub>3</sub></span></p>
<p><span style="background-color: #ffffff;">Step 3 O<sub>3</sub> → O• + O<sub>2</sub></span></p>
<p><span style="background-color: #ffffff;">Step 4 O• + O<sub>3</sub> → 2O<sub>2</sub></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Draw the Lewis structures of oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</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 why both bonds in the ozone molecule are the same length and predict the bond length in the ozone molecule. Refer to section 10 of the data booklet.</span></p>
<p><span style="background-color: #ffffff;">Reason: </span></p>
<p><span style="background-color: #ffffff;">Length:</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;">Predict the bond angle in the ozone molecule.</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 how the different bond strengths between the oxygen atoms in O<sub>2</sub> and O<sub>3</sub> in the ozone layer affect radiation reaching the Earth’s surface.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Identify the steps which absorb ultraviolet light.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine, showing your working, the wavelength, in m, of ultraviolet light absorbed by a single molecule in one of these steps. Use sections 1, 2 and 11 of the data booklet.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Ozone depletion is catalysed by nitrogen monoxide, NO, which is produced in aircraft and motor vehicle engines, and has the following Lewis structure.</span></p>
<p style="text-align: center;"><img src="data:image/png;base64,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"></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Show how nitrogen monoxide catalyses the decomposition of ozone, including equations in your answer.</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</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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"></p>
<p><em>NOTES: Coordinate bond may be represented by an arrow.</em></p>
<p><em>Do <strong>not</strong> accept delocalized structure for ozone.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">resonance «structures»<br><em><strong>OR</strong></em><br>delocalization of «the double/pi bond» electrons ✔<br>121 «pm» < length < 148 «pm» ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept any length between these two values.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">any value from 110°–119° ✔</span></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«bond» in O<sub>2</sub> stronger than in O<sub>3</sub> ✔</p>
<p><br>ozone absorbs lower frequency/energy «radiation than oxygen»<br><em><strong>OR</strong></em><br>ozone absorbs longer wavelength «radiation than oxygen» ✔</p>
<p> </p>
<p><em>NOTE: Accept ozone «layer» absorbs a range of frequencies.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">steps 1 <em><strong>AND</strong> </em>3 ✔</span></p>
<div class="question_part_label">e(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1:</strong></em><br>for oxygen:</span></p>
<p><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="E = « \frac{{498000{\text{ Jmo}}{{\text{l}}^{ - 1}}}}{{6.02 \times {{10}^{23}}{\text{mo}}{{\text{l}}^{ - 1}}}} =» 8.27 \times {10^{ - 19}}«{\text{J}}»"><mi>E</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>498</mn><mo> </mo><mn>000</mn><mtext> J mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>6.02</mn><mo>×</mo><msup><mn>10</mn><mn>23</mn></msup><mo> </mo><mtext>mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>8.27</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>19</mn></mrow></msup><mo> </mo><mo>«</mo><mtext>J</mtext><mo>»</mo></math></span> ✔</span></p>
<p><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda {\text{ = }}«\frac{{6.63 \times {{10}^{ - 34}}{\text{ J s}} \times {\text{3}}{\text{.00}} \times {\text{1}}{{\text{0}}^8}{\text{ m }}{{\text{s}}^{ - 1}}}}{{8.27 \times {{10}^{ - 19}}{\text{J}}}} =» 2.40 \times {10^{ - 7}}«{\text{m}}»"><mi mathvariant="normal">λ</mi><mtext> = </mtext><mo>«</mo><mfrac><mrow><mn>6.63</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>34</mn></mrow></msup><mtext> J s</mtext><mo>×</mo><mtext>3</mtext><mtext>.00</mtext><mo>×</mo><mtext>1</mtext><msup><mtext>0</mtext><mn>8</mn></msup><msup><mtext> m s</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>8.27</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>19</mn></mrow></msup><mo> </mo><mtext>J</mtext></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>2.40</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup><mo> </mo><mo>«</mo><mtext>m</mtext><mo>»</mo></math></span>✔</span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 2:</strong></em><br>for ozone:<br></span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">similar calculation using 200 < bond enthalpy < 400 for ozone, such as</span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="E = « \frac{{300000{\text{ Jmo}}{{\text{l}}^{ - 1}}}}{{6.02 \times {{10}^{23}}{\text{mo}}{{\text{l}}^{ - 1}}}} =» 4.98 \times {10^{ - 19}}«{\text{J}}»"><mi>E</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>300</mn><mo> </mo><mn>000</mn><mtext> J mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>6.02</mn><mo>×</mo><msup><mn>10</mn><mn>23</mn></msup><mo> </mo><mtext>mo</mtext><msup><mtext>l</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>4.98</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>19</mn></mrow></msup><mo>«</mo><mtext>J</mtext><mo>»</mo></math></span> </span><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔</span></span></p>
<p><span style="background-color: #ffffff;"><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\lambda {\text{ = }}«\frac{{6.63 \times {{10}^{ - 34}}{\text{ J s}} \times {\text{3}}{\text{.00}} \times {\text{1}}{{\text{0}}^8}{\text{ m }}{{\text{s}}^{ - 1}}}}{{4.98 \times {{10}^{ - 19}}{\text{J}}}} =» 3.99 \times {10^{ - 7}}«{\text{m}}»"><mi mathvariant="normal">λ</mi><mtext> = </mtext><mo>«</mo><mfrac><mrow><mn>6.63</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>34</mn></mrow></msup><mtext> J s</mtext><mo>×</mo><mtext>3</mtext><mtext>.00</mtext><mo>×</mo><mtext>1</mtext><msup><mtext>0</mtext><mn>8</mn></msup><msup><mtext> m s</mtext><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>4.98</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>19</mn></mrow></msup><mo> </mo><mtext>J</mtext></mrow></mfrac><mo>=</mo><mo>»</mo><mo> </mo><mn>3.99</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup><mo> </mo><mo>«</mo><mtext>m</mtext><mo>»</mo></math></span>✔</span></span></p>
<p> </p>
<p><span style="font-size: 14px;"><em><span style="background-color: #ffffff;"><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;"> NOTE: Award <strong>[2]</strong> for correct final answer.</span></span></em></span></p>
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">•NO + O<sub>3</sub> → •NO<sub>2</sub> + O<sub>2</sub> ✔</span></p>
<p><span style="background-color: #ffffff;">•NO<sub>2</sub> + O<sub>3</sub> → •NO + 2O<sub>2</sub> ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept •NO<sub>2</sub> → •NO + •O <strong>AND</strong> •O + O<sub>3</sub> → 2O<sub>2</sub> for M2.</span></em></p>
<div class="question_part_label">f.</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(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p>Magnesium is a reactive metal often found in alloys.</p>
</div>
<div class="specification">
<p>Magnesium is sometimes used as a sacrificial anode to protect steel from corrosion.</p>
</div>
<div class="specification">
<p>A graph of the volume of gas produced by reacting magnesium with a large excess of 1 mol dm<sup>–3</sup> hydrochloric acid is shown.</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" 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zspwM/fKpXNfQ8OskoAAAAAqpIno6OsEmQEX5TG77bv1z5qa9Hcz749akv8/ndr/xl+32aLvdo4p51t8NrvrJ0l+H6tbbD59cJssdtOOPa52r4SGI9BWW3anGKVSo+2zvPEtlOmxlil0ivr961uj3F1a+uOPmXwtLbV6Xc1uNKWPuU8T2vrrp+XPuU82jrPlX7ljRjqXAWcOrRPaWapoRpcVOL0zSVytT0AAADgaQ4ePKiMjAynt9KeX3jzxLanTnELZGEMdS41J4c65+3Wsu49NC1dajN5jVZHtizxhupTabG6scczOlb467navhIYw6T37N9n1Upn83vvq/MtHa1a6dDWeZ7Yduq06WUellPW71vdHuPq1tYdfcrgaW2r0+9qcKUtfcp5ntbWXT9vefYpIyjl5hoTpJbsyJEj+vGHH/TfL3fqb1e1tvYWLycnR7t27bJqf/juuwO68spz3Ipnt3fPHn368SdWDZWtyZVX6oP/fGDVQPAtNSeDrw5o3aC7NCb5qHz6L1VqTCcVvxhSoa/XYIRe/XSUgs0v52r7ikfwdR5tnUfwdQ5tnUdIcU51+l0NrrSlTznP09pW5Pf85ZdfdODAAav2h51ffqnXV69Rr549rD0On376qVUq6ujRo3r37SSrVn1dd8P1ahEQYNWc40xYL4kntj38U7YWL1po1UDwLTVng++vyogfpLDJW6SgSUpaG6nAYi/ZHlHKxJ4alJAphcYqNS5Cjc39rraveARf59HWeQRf59DWeYQU51Sn39XgSlv6lPM8rW1J7c4MrflXTPMZV0U3bNhYJKC8vGKlVapczfya66YOHaxa8f7yl7/or3/9q1NXfA2tr7rKKv3ho48/1Y03XGfViufj46OmTZtatT9Upz5lcFdbV16rvBH3+FaYOrrMr4V8jGL6YsW+kak8c39hecrZ/Y5WrrGHVvuZbUJa6VLHATtX2wMAAKA4he+bXJeYWLAtW/qiJkZFmVufe+4x/8hvbG1atVZYl64F24A+fTVm5KiCbdLEaG354AMz7OZvxbntjjDd269vkW3shAlq//e/a/bc2CLb8lUrlbRxQ7GbceEhf1uyNL5IfXNKimKmTz/nNm78eIVHRKj9TR3Mf8+3BQYGnrUZgba4/YW34kIv4C4E3wpTU/Wu/YcGtjKia5Y2jHxUk+JTlJGTH1+PK2PTfI3uHq3N5m0Y7RTRoXmhJ8TV9gAAANVLfpj9PC3NDLIrEhKKDbIdO4QUhNjCAbZweD3z3tQzQ+uZQXVSzPQi4fSTtG1FAqmxzV+w4KwQOmToEAX+teVZYbN9+/bFhkljA1B65KSK5NtG3e5pZ1W2a9XkBxT2txbWi26Qwh6cY4VWySesl7q0qOuo5HO1PQAAgJfIzs42Q+3WrVvNULto4SIz0A4fNsz6bORfEGYXPvtMwZXY4oKscX9o4Suu+eF11LjxBcH1/S2p5wytZwbVM6+ANmzY0PpuAKoCgm+FqqvAXv9UdOi577r1CZ2m12bdpSZnPRuutgcAAPAc+eHWCLabNyUXCbbXB19TZJjx0zNmmIG28ERP+Vdlu4SFFYTZ1esSzwqyq155pcgV1/zw2qp164LgyjBdwLsQlSqa71W6P+5dJcXHKrp/W2ung0/oCM16drU2LOmvlr4lPBWutgcAAKhijHts09PTzYA7a+bMs8KtEWxfTkg4K9ieOcw4/+rsmVdl7+59T0GYDQoKIsgCIPiWXm01jnjGeoF9xsk1c+spsFOE7o9ZV/DCbGzb40ap+53BanzeZ8HV9gAAAJXv5MnfCq7gGkOT8wOucY9tz/AIM+AuXrCwINwaMxLnDz9+YPDggqu1+Z99zhxmnH91FgDOh8gEAACAcmGE3OTkZPMqrjGZ1CMPP1xwBdcYmpwfcPPvsTWu2ubPXrxj186CGYmN4cfGjMP5V2sBwFUEXwAAAJSasbatMVw5f+bk/MmlhgwabF7FzZ9Myrjv1riCuyju+YKAm3+PrXHVNn/24gsvvNA8HwAqAsEXAAAATskPusaQZWNtW2O4cv7MyQbjSm7hkGusMWvcd2tcwQ0NDSXgAnAbgi8AAACKZcyybKyJm39FNz/o5g9ZNq7mTomZZt6Lm38lt3DIBYCqguALAACAAsaMy8ZVXeMeXWOWZWNN3PwrumcGXeNqbr/+/c17cbmSC6AqI/gCAABUc4XDrjHjsnFVN/8eXWNNXGMCqk/SthF0AXgsgi8AAEA1ZExOZczAbNyvWzjsGksKGffpGld1jSWEjDVxjQmoGjZsaLUEAM9Tw2ZnlYFSMe71MSatAMpTamqqQkJCrBrgOvoUypun96kjR47o44+2at3q1dYeh/CePdWqdWv93/+1sPagsvA6hYpg9Ksno6OsGmQEX6AsWjT3s0qlt2lzilUqPdo6zxPbTpkaY5VKr6zft7o9xtWtrTv6lMHT2lan39XgSltP7VMffvihLeqJJ8z37/xt2NCh5v7c3FzrzLO582cuq7K2ddfPy+uU82jrPFf6lTdiqDMAAICXMoYzb926Vf+ePl0D+vQtmKTKGMr8/pZU855dYxgz9+sC8HYEXwAAAC9jBN51iYnqFhZmBt5v9mSY9+7OnhtrzsZsLDnUtGlT62wA8H4EXwAAAC9hrLubH3jHjBylzP3f6robrteoceP1VlKSwiMiuLoLoFoi+AIAAHg4I/AuWrjIXHc3P/Aaa+4ayxCteuUVc9IqAi+A6ozgCwAA4KEKB96nZ8ww993br6+SNm4ouH8XAEDwBQAA8DjnCrwx06crMDDQ3AcAcCD4AgAAeAgCLwCUDcEXAACgijMC71tvrifwAkAZEXwBAACqqPxliXr16KF1q1eb+wi8AFB6BF8AAIAqpvA6vPmzNHe4+WYCLwCUEcEXAACgCtm6dWuRwGssS2QE3vsfGEjgBYAyIvgCAABUAenp6epzzz0a0KevGXivu+F6cx1eY1kiAi8AuIbgCwAA4EYZGRmaGBWlnuER+vTjT9TMr7kZeFe98grr8AJAOSH4AgAAuIExU/OsmTMV1qWrXl6x0gy8s+fG6q2kJAIvAJQzgi8AAEAlMiauWpGQYC5NtHjBQnPf2AkTzMAbHhGhCy+80NwHACg/BF8AAIBK8nlamjlx1aSJ0WbdWJrok7RtGjJ0CIEXACqQW4Kv7ddD+jwpQQti52rBsnf0+fe5slnHAAAAvI1xH68xcdXCZ58pMlOzsTRRw4YNrbMAABWlhs3OKpc/2wntS16ueXNf1JuHrlSP4eM1queftfHx4Zr67gHrJLta7RQZ96wev6Wpalu7UDUE+PlbpeItWRpvlYDykZqaqpCQEKsGuI4+hfJWmj514sQJrXn9NW354AOzfnGjRrrvgYFq1bq1WQcMvE6hIhj96snoKKsGGcG3YpyyZaf+y3ZLcz9bi6vDbAP6hdmuaR5kC7u9o+2vwQ/b5m/4wrbv0EHbN5+9You+42+2FgGP2RIPnbTawhO0sD+3ZbVpc4pVKj3aOs8T206ZGmOVSq+s37e6PcbVra07+pTB09pWp9/V4EpbZ/pUbm6uLWH5cvO9Mn9LXLvWlvTOu9YZpcdz5LyytnXXz8vrlPNo6zxX+pU3qrihzrZMbXr+VWVecp8WbkjUSwlrtHbWzdq365D8Bg7VoC5B8ru8ifyvuVsT/zVULX7fqPh3v1Ge1RwAAMATbd26tch9vA8PG2rex2tMXFWnzgXmPgBA5aq44Hv6qA6kH5WC2qnNJXXsO+rqivZ/1w3yVfOmF8vY41BDdS5toubK1XdHfyb4AgAAj2Tcxzt82DAN6NPXvI/3uhuuN+/jHTd+PPfxAoCbVVzwrdVAVwQ1kNK366ujp81dNRrfoqg1CxXZsm6hyaxO6+hX27VdDdTmigaqZe0FAADwBMbyRIsWLjLX43337SRzPd5Fcc9r1SuvKDAw0DoLAOBOFRd8azTTrUP7q1X2Uj0c/qCmb8xUXu1GCgy+QTe1aqQaxjm/fqON88eq/4NLdeSSburb6UrHfgAAAA+QnJxsDmt+esYMs56/Hm9oaKhZBwBUDRW4nFEtNbhhuJYsG69bav5X/z38+9mh9mSmPpifqD1/7at/vzRWoZcwpzMAAKj68oc1Dxk02BzWbKzHawxrZj1eAKiaKjD4Gi7Q5SFDtei9D7W0p//ZwfeiazXkjVRtWx+jXq3+wtVeAABQpRnDmr9ISysyrHn5qpXmerwMawaAqquCg6+lRh3VvaCYb1XDV00Dmsq3NpEXAABUbfnDmrd/nmbW84c1t2/f3qwDAKquygm+JcrTr0e+0Y60NKU5u32+T//7Y2YsAACACnXw4MEiw5qbXHklw5oBwMO4LfjacnZqdXQfhVx7q7r36Knezm4DE7XXMUk0AABAhTGGNa9ISFDHDiFFZmsO7Xobw5oBwMO4J/jaDuidqKGasPwTHbN2AQAAVBXp6ekaGBmpSROjzfrDw4YyWzMAeDC3BN+8Pclasi7TXvJVqwH/1ooNHyj1o63Obe88oNYs9gsAACpAdna2JkZFqWd4hD79+BNdd8P15rDmcePHM6wZADyYG4Lvaf2UsUM7jeJVw/RUVG/d8Ncr1bhxY+e2y+qrLnNhAQCAcrYuMVG9evTQyytWmvXZc2O16pVXGNYMAF7ADcHXptMnf7fHX6l+6A1qRYoFAABulD951ZiRowrW5P0kbZvCIyKsMwAAns4NwbeW6l1yqXztpVMnftFJx04AAIBKVdLkVcaavA0bNrTOAgB4AzcE3xryadtJPS+ppZz3P9NXv7A2EQAAqFzGVV4mrwKA6sMtk1vpohs15Kk+arQ3TpOe3qzvTxF+AQBAxTOu8s6aOVNTJkYxeRUAVCM1bHZWuXLZ/qddr8/U2Mdf0Q//7w71vjtELS+9VJc3rqfa1inFqtFALa7211+4NdjtAvz8tWRpvFUDykdqaqpCQkKsGuA6+hTyffPNXj2/cKF+OnLErN/bv79C/v531alzgVl3Fn0K5Y0+hYpg9Ksno6OsGmQEX3fIO/Gl7fWJvW3XNPeztSjNdvUc27bfrS8CtzKej7LatDnFKpUebZ3niW2nTI2xSqVX1u9b3R7j6tbWHX3K4Gltvfl3/emnn2xRTzxR8Fli2NChtldefd06Wnr0Ked5Wlt3/bz0KefR1nmu9Ctv5J6hzrYDeidqqCYs/0THrF0AAADlLTk5+awliuYvWKBGjRqZdQBA9eCW4Hv6qyTNW5dpL/mq1YB/adnbm/Wfj7Yq1ZntnQfUupbj6wAAABQnOztbE6OiNGTQ4IIlit7fksoSRQBQTbkh+J7S4d07tMcotn1MM5+8Rx1a++vyxo3V2Jntsvpi6V8AAFCSwld5Cy9R1LRpU+sMAEB1456hzpb6twQr8E+kWAAA4DpjiaLhw4YVucr7+po1LFEEAHBH8K2lBs3+T5fbS6dO/KKTjp0AAABlti4xUR07hOjdt5OKXOVt2LChdQYAoDpzQ/CtoQtadVSftr7KWb9Jnxw9be0HAAAonfyrvGNGjjLrXOUFABTHPUOdL2yr+2Ie0TXZCZo6+23tyyH8AgCA0tn64ZYiV3mXr1rJVV4AQLHcE3x/PazvTgXpwdGdlZMwQrffMVATY+P1emKi3ti4RWlpaSVvn+/T/2zW1/EYJ5WV9o7Wxg5WWz9/BVhb20GxWpuSoRzrrJIdV0ZKopZNDC9oW9B+fZqy8qzTAACoBvKv8i59/nmz/vCwoXorKUnt27c36wAAnMk9wffYR4rt0UfDZr2rbHv1dOYHenneFD0+cpRGD+6v3j16lrwNTNReT7pAnJelz54Zrq49hmrcvGTlWrsNucnPaFxkV900KEG7c0pIr3mHlDJpgMIiR2lawnZrp4PZ/tGeCuk2XSlZ3C0NAPB+he/lvbhRI61el6hx48frwgsvtM4AAOBs7gm+1cZJHXpjhgbOKRp4z5SbHK27x72hQ2dlX6P9LI1YVjTwnmVXnEY896GOW1UAALzNmffyGld5p0yfrqCgILMOAMC5uCf4NgrVUx9tVWpZtnceUOta1tep6nLS9eriDY7Q6xOqR17YoC/279Mec9urLzYu0SOhjc1Tc5OW69UvjpnlAsc/1MInEq3Q3FZ9Ji9V0n/3Wu3TlfTCaHX2MQ8qNyFOazN+dVQAAPAixrq8Z97La1zlrVPnAusMAADOzT3Bt7avGjVurMZl2S6rr7oesvRv3vdf6v1dRmxtpj4L/qWRtwbK13HIrqZ8A7to5Jx/qY8ZXr/S+9t/0B8XffN0PO09rTNTr719/AuaFtlJgb75T1k9Bd46XHMSRqulWf9ciVu+LdQeAADPlp2drYlRUea6vIb8GZu5lxcAUFpVe6jzrz9q/7fZ+tXjJrNyyDtxVN+ZpT/r4np1zdJZfOrpYvMP1rn67ujPhYLrSf2wf6/jam+DCHUPaWTuLcoenoP7aFz/ZvZyrnak7tKPjgMAAHg04ypvrx499PKKlazLCwBwmXuDr+2E9r+/QjPHDNfcLUetnX84vW+dhnS8XiG9ovXSlkyPC8C1A9opzLya+7N+Ol7CMOTc4/rpN6PQQMH+l6q2udNwRDtTd5oln27tFPDHgTP4qmnAlY7itn06dMpRBADAExW+ypu5/1vW5QUAlAv3Bd9TB5USc79uu3+ilqzeoi8OHVfRXJunn384oEM6rWPbEjS1Xz+NfGmHcjwp/Na7Wt0HB9sLmVo17J+au6no0kV5WZ8qYWasVhmXdX3uVN/OTRwHDHk/69hhIxH7qEXA5YWGSJ+prvzbXqP6RvHoPn13hOQLAPBMW7du5SovAKBCuCn45iojYaIefuFze6ytpfrX3Kb2Tf50RvCtIZ9rH7K/+c3WI7cF2M86oORJj2vuh4fPOK8qq6/gwU9pdv+29l85Wc892FVXF1qH96839tZkY4kin9sVvXaMOtUr9HTYg+/RTCMRX6BL6v/ZyScqW8dOEHwBAJ7ll19+0ayZMzWgT1/zKu9td4RxlRcAUK7cE3yPf6KXZqbYQ6+vWj24WOtf+bce7tDkjB+mhmr7NlXrDj00cn68Fj/Yzh5+d2r5sxu135NmcPJtqfDHn1K0NXvzWczQO0P3t6xn7Si92k38ZVxXNoLvUYIvAMCDfPPNXnULC9PiBQvN+uy5sZq/YAFXeQEA5aqGzc4qVxKbfvt4ltrfs1DHW4zUq2+OUPCF55+m2Za9UY+HPKTVubfp36nPqtcVf7KOVGUnlfXpi3ry/hnabM5SVZLG6jw5TnMir/pjSPOpNM29rqeeO9pAnee+oSURV1gHipGVqIduHKXNaqVH1ryqkcElD4w+k3Hl2RX3PTjIKgEA4LxTp07pv9u3a/vnaWa9yZVX6ob2N+miiy4y6wAA1z0ZHWWVICP4Vq7fbd+vfdTWormfrd2/P7L9au09r7z9ttfuC7K3C7PFbjth7azaTh9caxvays/8Xds8OMeWuO1722nrmP2o7cTX79vWzBlka2M/3qL5jbaha7/94/jv22yxVxv729kGr/3O2lmC79faBptfo3IfG+P3KqtNm1OsUunR1nme2HbK1BirVHpl/b7V7TGubm3d0acMnta2Mr/n119/bbu3d2/zfcTYEpYvt46UjrseY/qU8zytrbt+XvqU82jrPFf6lTdy0z2+ZVCjlv70J8/5cY1ZmT9YEKsNxpXeVqMVP/cxhQc3LjSc21jH92Z1HzVL8Y8ZA5WztGHxOn2RU/px3KcO7ZPj7+UN1eCiEqd/BgDA7VYkJCisS1d9+vEnuu6G6zUpZrr69e9vHQUAoGK4IUnWUoPLr5BxR+vxLTv0ze9OjrQ+vkeffWgsedRMV1xqLnxbtZ3K1BdvZdoLPmpzT1dd7VvSQ11fV//jTrUxirs+1o7vT5p7VfPPatDMWAvpNx0+Vnh933NpqPoEXwBAFXTw4EENHzZMkyZGm/WxEyboxfh4NW3a1KwDAFCR3BB8a+iC1jep+yW1pO2rFL/xO513OibbMW1PiNOrxtXToBsV1MQT7u/Nd/5ZmWteVF+XmKVCk1PZg2/9S4yAn6u9e74vsgxSUad0JHOfjhnFBv66shHBFwBQtSQnJ6tjhxC9+3aSuUzR6nWJGjJ0iC688ELrDAAAKpYbgq/dRVer50MdVEvfaPWjjyhq5cf6Lqe4+JunX4/sUsqCxzVo5had1v+p1yO3KcA9P3UZnf+Kbd6JYzpslf/QSK1DWpul3B379UOJX+CYvvos3VG8xl9NyL0AgCoiOztbE6OiNGTQYLP+8LCheispSUFBQWYdAIDK4qYI6atWfcYq6rYrpNM7tPqJe3VL0K26e9A4TZsTq7mx9m3GRD3W/x8KufYODZr1rrKNNoOe1JjQy3X+OaCrgNrNdHW3ZvZCrnas3aq95wiuX7y5XjuMos91ujrAGN5sqKPL/FrIrKUvVuwbmcWE5zzl7H5HK9dYQ6pDWulSxwEAANwqPT1dvXr00MsrVppXeRfFPa9x48dzlRcA4BZuu3Zaw7eNBsyO18KxYWpWy77jdKY+T35dy555Rs/Ns28LV+it1F3WEN7r1fdf8Xrx8Zt1iUekXkNDBYd2soLrFPV8KFZr16cpq1B6zctK07rYcYqc55iayqfHLQqul/+U1FS9a/+hga2Mr5ClDSMf1aT4FGUUTH51XBmb5mt092hrqaR2iujQ3H1PKAAAdr/88otmzZypnuERytz/rW67I0yvr1mj0NBQ6wwAACqfW3NSDd8W6vLIc3p7y9t6acm/NeGxgepxW6g6298cO9/WS/c/9oRilryqje8laGqfa3RJbY9JvXb24Hrzg5oW1tis5SY/o3GP9lTI//mba+ca219v7Kkx85Jl5lafCE0bdpM56VcB3zbqdk87q7JdqyY/oLC/tbDaBynswTkF6wP7hPVSlxZ1HRUAANwgIyNDAyMjtXjBQrM+e26s5i9YoIYNG5p1AADcpQpcIKypuo1b6aau92jwqGjNXPy8lsTZt8WzFD1qsO7tep3863vSZFaF1Gym8Fnxmt2/rbWjBK3u0+x1UxTepI61I19dBfb6p6JDHeG5JD6h0/TarLvUhMu9AAA3WZeYWGSZoqSNGxQeEWEdBQDAvYhKFc23pcJjXlPqmoWa9VioY+hzvlb9FP3saqW+ZQ+9gUWu9f7B9yrdH/eukuJjFX1GgPYJHaFZ9vYblvRXyxKXSwIAoOIYyxTNf/YZjRk5yqznL1MUGBho1gEAqApIS5WijhoH367uo57X9v37tCd/S4rR/XcGq/F5n4V6CuwUoftj1v3R1r5tjxul7k61BwCg/BnLFA3o10/paWksUwQAqNKITAAAoFTyJ7AylikyJrDqcPPN5gRWLFMEAKiqCL4AAMBpxgRW3cLCCiawMpYpuv+BgUxgBQCo0gi+AADAKSsSEswJrPKXKXp/SyrLFAEAPALBFwAAnJMxgdXwYcM0aWK0WZ8SM01Pz56tpk2bmnUAAKo6gi8AAChR/gRW776dVDCBVb/+/ZnACgDgUSo2+J7KVc6veVYFAAB4ijMnsLq3X1+9lZTEBFYAAI9UscH3yAaNvqqz7ouK1bLE97Xj22z9arOOAQCAKsmYwGpgZGTBBFaz58YqZvp0rvICADxWDZudVS5/WYl66MZR2mxVpVqq3+oWhXW9WTddf43aBP1VV/jWto7B0wT4+WvJ0nirBpSP1NRUhYSEWDXAdfSp0tn64RYtff55s/x/AYEa9PDDatSokVmHA30K5Y0+hYpg9Ksno6OsGmQE34rzu+3Ed1/atry7yjZ/4iDbHVe3sLVo7ldou8b2j0em2ZasfMf28e7vbSd+z7PawRMYz2FZbdqcYpVKj7bO88S2U6bGWKXSK+v3rW6PcXVr644+ZfC0tonr1tuGDR1a8B69cMFCW25urnX03KrT42SgTznP09q66+elTzmPts5zpV95owqe3Kq2fK9orZu63qth057Xm1s/0aY34jV78gjdG9JctfSTdq1/QTP+OUR9u7bXNZ37auy0xXr9vTTtOfKrGBUNAEDFS09P11NTpxSZwGrI0CEMbQYAeI1KndW5Rt2Gat62o8IjRykmYbPSP0vWq/Gxmji0u65p5qPTmR8p8YV/6/EHeur2a6/RLb1Ha2Z8ot7f/q2OMkkWAADlypjAatHCReoZHqGfjhwx1+Z9fc0aJrACAHgdNy5nVFN1G7VQcKcIRU6Yo1c2f6zUDa9owb8mKPLOtqqvXB34ZK2WTB6lB+/qpOva36mHJsbqpbc/1r5jp6yvAQAAysJYm3fsmDF6esYMs/7A4MGav2CBGjZsaNYBAPAmbgy+Z6jtq8Z/vV5d+wzRxGcT9dF/U/XGioWKGTdAnVtdLB3dqc0Jz2jqsCla982vViMAAFBaxtq8HTuEFAxtTtq4Qe1v6mAdBQDA+1Sd4FtEDXsObqrWHW7XvcOnasnbqfr0/XV6Ye4kPdLvb/qzdRYAAHBe4bV5DQ8PG2quzRsYGGjWAQDwVlU0+J6hRl01aN5WHSMiNXL6TA0O9rUOAAAAZxhr83YLCytYm3dR3PMaN348E1gBAKoFzwi+AACgzNYlJiqsS1dl7v9W191wvd7fkqrQ0FDrKAAA3o/gCwCAl8rOztbEqCiNGTnKrI+dMEEvxseradOmZh0AgOqC4AsAgBcy1ubt1aOHXl6x0pzAavmqlazNCwCotgi+AAB4mRUJCebavMbQZmNt3uUrVqh9+/bWUQAAqh+CLwAAXsIY2jz/2Wc0aWK0WZ8SM81cm5ehzQCA6o7gCwCAF9i6das5tDk9Lc0c2rx6XaL69e9vHQUAoHoj+AIA4MGMtXkXLVykAX36mkObg4KD9fqaNQoKCrLOAAAABF8AADzUwYMHNXbMGD09Y4ZZnz03VsMfHaGGDRuadQAA4OD+4GvL1fdp7+il2Gg91v8OXevnr4B2sUo7ZRw8qQNJz2rmiveVcex383QAAOAY2jygXz+9+3aSObQ5aeMGhUdEWEcBAEBhbgy+Np06/KmWPdZdnXoM1dR5CXordZeOWUcdTurHr5K0JCpS/4h4XCt3/s/eCgCA6uvMoc339uurt5KSFBgYaJ0BAADOVMNmZ5Urle3Ep3qm30A9uz1HqtVcN90brlv9jujV6Su1u8EIvfrpKAXXPqbt8U9q5LT1yjxtb3RJfy18e5K6XFLb8UVQ4QL8/K1S8ZYsjbdKQPlITU1VSEiIVQNc50196siRI3pl1UpzAivDA4MHq/1NHcwyKg+vUyhv9ClUBKNfPRkdZdUgI/hWvv/Zts2JsLVo7mf76x3TbG9/c9yWZ+z+fq1tsH1fi6vn2Lb9bp5od8p2YvfrtvEdA+3nt7Dd9O+PbD9bR+BexvNXVps2p1il0qOt8zyx7ZSpMVap9Mr6favbY1zd2rqjTxnKu+3GjRvN111ju6VjR9vXX39tHSmqrN+3Kv2uznJXW2/pU86qTm3d9fPSp5xHW+e50q+8kVuGOtsOp+qlBV9ItW7W2FkjFeZ/kWpYx85WS75/jdDEGQ/LX6f1Q8JGfZ7LgGcAQPVgDG2eNXOmhgwabNYZ2gwAQOm5Ifja9MvXaUox5qq69jZ1aeXr2H1OtXTR1Z3UrWkt6cRX2nPwN2s/AADey5i1eWBkpBYvWGjWF8U9r5jp03XhhReadQAA4Bw3BN/TOn74R+XYS/Vv/H+6ouRLvUVdcJn8W9WzF7J19IQ55TMAAF4rOTlZHTuE6NOPP9F1N1yv97ekKjQ01DoKAABKw63LGeWd/N0eg51k+00/n2BJIwCAdzOGNr/26isFQ5sfHjZUL8bHq2nTpmYdAACUnhuCby01uPwKGdduj3+4S5l5jr3nY8vaof+kGdeJA+TfpK5jJwAAXiR/aPPGpCSzbgxtHjd+PEObAQBwkRuCbw1d0Pomdb+klpT+ml7Zevj8a/PaDutD+5v/RuOCb1CwWl/KckYAAO9SeGjz/wUEMrQZAIBy5J6hzhcF697hf1ct7VT8iMl6aftPKv6uXZtOHdutDXMnaNQLO+31Zrrz4VAFuHWANgAA5efMWZuNoc2jx41laDMAAOXITRHSR4H3jtek266Qfnpb0+4KU59xc7Rs/ac6aBz+bac+WB2v+VMfUfdbumnYvPeUrT+p2YAoje/a9BxLHwEA4DmKm7XZGNpcp84FZh0AAJQP9107rdtKfWbHac6D7VVfh/X5a89q2vSV2m0cy03WcxOmKPbFt7XrqDH9VROFjIzTiklddHltYi8AwPMxazMAAJXHrYOGa/i21F3Ry7Rp43L9+4lB6hEarCtqWQdrNVO70F6KfOJpxW98U3Ejbyb0AgA8njG0edHCRczaDABAJaoCd8v+SX8JDFGvh6I0M261Uvbu05799m3v+3otbpYmPtRTIYENxHRWAABPZwxtHjtmjJ6eMcOsM2szAACVg2miAACoBFu3btWAfv307ttJaubXnKHNAABUIjcH3zz9euQb7UhLU5qz2+f79L/zrn8EAEDVkD+0eUCfvsrc/63u7ddXbyUlMbQZAIBK5Lbga8vZqdXRfRRy7a3q3qOneju7DUzUXmO+KwAAqrgzhzbPnhurmOnTGdoMAEAlc0/wtR3QO1FDNWH5Jzpm7QIAwJvs2rmzyNDmpI0bFB4RYR0FAACVyS3BN29Pspasy7SXfNVqwL+1YsMHSv1oq3PbOw+odf7MzwAAVDH5Q5tjZ80sMrQ5MDDQOgMAAFQ2NwTf0/opY4d2GsWrhumpqN664a9XqnHjxs5tl9VXXVY1AgBUQdnZ2QxtBgCgCqphs7PKleSUshJHK2TketV/bLU+GhXMUkUeKsDPX0uWxls1oHykpqYqJCTEqgGuq6w+9c03e/X8woX66cgRXdyokR4ZOYoJrLwUr1Mob/QpVASjXz0ZHWXVICP4Vq4828+p02xBzf1sQVNSbT9be+F5Wtifw7LatDnFKpUebZ3niW2nTI2xSqVX1u9b3R7j6ta2MvpUwvLl5muisQ0bOtT2008/edxj5Wk/r8Fdbd3xOmWgrfPK2tZdPy99ynm0dZ4r/cobuWGocw35tO2knpfUUs77n+mrX1ibCADgmYyhzcOHDdOkidFmfUrMNM1fsEANGzY06wAAoGpwz6zOF92oIU/1UaO9cZr09GZ9f4rwCwDwLOnp6erVo0fBrM2r1yWqX//+1lEAAFCVuCf4qrYuCR2rpbPuUl78w7oz/DHNjH9V695O0SdpaUo71/b5Pv2PnAwAcKN1iYnqGR5hztp82x1hen3NGgUFBVlHAQBAVeOm4CvZfj6ondv36IfTp3Xsy/VaMnmCxgx7QH179FTvc20DE7X3tPVFAACoRMZSRROjojRm5CizPnbCBIY2AwDgAdwTfG0H9E7UUE1Y/omOWbsAAKjKMjIy1C0sTC+vWGkObV6+aqWGDB1iHQUAAFWZW4Lv6a+SNG9dpr3kq1YD/qVlb2/Wfz7aqlRntnceUOtajq8DAEBlSE5OVliXrgVDm5evWKH27dtbRwEAQFXnhuB7Sod379Aeo9j2Mc188h51aO2vyxs3VmNntsvqq24N8wt5lrwspa1/UdFhV5nr3zq2cEXHv620rJPWSSU5royURC2bGF6orb/aDorV2vVpysqzTgMAlKuTJ3/TrJkzNWTQYLNuDG1+evZs1ucFAMDDuO0eX0P9W4IV+CdPTLGlkaecjERFd7tVvR+dplW7cq39hu1aNXm4encermc/zbKfWYy8Q0qZNEBhkaM0LWG7tdMhN/kZjXu0p0K6TVfKecMzAKA0Dh48qDmzntbiBQvN+qK4582hzRdeeKFZBwAAnsMNwbeWGjT7P11uL5068Yu8Pa7lHXpD48NHnRF4z5CbrHn3z9D6Q2c+Gid16I1ZGrGsaOA9y644jXjuQx23qgAA12zdulUdO4Tomz0Zuu6G6/X+llSFhoZaRwEAgKdxQ/CtoQtadVSftr7KWb9Jnxz15imaj+iDBbHaYGbetuozeb5e/Wi39uzfZ25ff7Rasx8LlY9xOHeDlrySrhyjnO/4h1r4RKIckdlov1RJ/91rtU9X0guj1dlsbG+eEKe1Gb86KgCAMjFmbV60cJEG9Olr1ruEhenF+HiGNgMA4OHcM9T5wra6L+YRXZOdoKmz39a+HO8Mv3kZb2pegjGJl49aPjZREyLvUHDjOo6DdjUbByt81L/0TP9m9lqudqd8qe8Lxjvn6Xjae1pnpt5m6hP/gqZFdlKgb/5TVk+Btw7XnITRamnWP1film+LHy4NADgvY2jz2DFj9PSMGWZ99txY3d37HoY2AwDgBdwTfH89rO9OBenB0Z2VkzBCt98xUBNj4/V6YqLe2LhFaWlpJW+f79P/bNbXqdJ+1d4tydphFFsN0bTB18jX3H+mRuoU877jKu66SAUWPCMn9cP+vY6rvQ0i1D2kkbm3qJryDe6jcVZw3pG6Sz86DgAASiE9PV0D+vXTu28nmUsVJW3coPCICOsoAADwdO4Jvsc+UmyPPho2611l26unMz/Qy/Om6PGRozR6cH/17tGz5G1govZ6xAXiI9qZutMs1e/aQW0LrtQ664/2Pt3aKaC2WSyGr5oGXOkobtunQ6ccRQCAc1YkJKhneIS5VNG9/frqraQkBQYGWkcBAIA3cE/wrQ5O/ah9247aCw0U7H+papuzO3+gtbGD1TZ/SaLWgzV3zQfKyClmgHLezzp2+Dd7wUctAi4v4Wqxoa78216j+kbx6D59d4TkCwDOyM7O1vBhwzRpYrRZnxIzTTHTpzO0GQAAL+Se4NsoVE99tFWpZdneeUCta1lfpyo7kqmdRu5VY7VuVlO744frpi73a9y8ZGuyKrvcZD03+n6FXT9cy3afMSezPfgezTTOvECX1P+zk09Uto6dIPgCwPlkZGSoV48eBUObV69LVL/+/a2jAADA27gn+Nb2VaPGjdW4LNtl9VXXo5b+PartC8bo7snv/BF4z5T7jqZ1n6R1Zy1n5JzaTfwVbJaydZTgCwDntC4xUWFduppDm2+7I0yvr1mjoKAg6ygAAPBGDHWucFn6IPkje+htrM6PxZ5jOaNERS9gLV4AqCjGUkUTo6I0ZuQosz52wgQ9PXu2GjZsaNYBAID3qmGzs8qV51SOjhzJUZmuTdaoq/qXesBV36xEPXTjKG02K43Vde4rei6iWTF/aTimtNgH1XtemuRzn+I+mqRO9exnnUrT3Ot66rmjDdR57htaEnGFdX4xCr5XKz2y5lWNDC75juAzGfcau+K+BwdZJQCouk6cOKEPNm/ST0eOyOfPf1b7v/9dTZue43UVAAAv8GR0lFWCjOBb6b5faxvc3M/Woizb1XNs2363vk5VVvh3vGup7evT1v5inP56qS3CPDfMFrvthGPn79tssVcb+9rZBq/9zrGvBL9vm2O7xmzfzxb/9S/W3opn/G5ltWlzilUqPdo6zxPbTpkaY5VKr6zft7o9xtWt7QMPPOh4LbZv9/bubTtw4IB15Pyq02NVnX5Xgytt3fE6ZaCt88ra1l0/L33KebR1niv9yhsx1Lmi+NTXZeYYZql+p7byP8cjXfOi+rrEKheo+Wc1aGZ8gd90+NjPKmbe52I0VP2LSlz3CACqFWNo86KFi8wrvYaHhw3Vi/Hxatq0qVkHAADVh3uCb/0bNWrNar16zu11rYyfr39Pfkid/ewBsFY73T83Qa++GKEWnjCrs+/lCgh0JN+TPx0veWKrktiDb/1LLrAXcrV3z/fKcewtxikdydynY0axgb+ubETwBYCDBw9q7JgxenrGDLO+KO55jRs/nqWKAACoptwTfOs2VqvgYAWfc7tG13e6Q70iH9eCtcs1ISRTCc//R8cbN9FfPGFW55oXq3mbRmYxd817Sjte8jXbU4f2Kc0sNVSDgiu2jdQ6pLVZyt2xXz+U2PyYvvos3VG8xl9NyL0AqrmtW7dqQL9+BUsV3dm9h0JDQ62jAACgOvKAoc41VLtBO0U+PkT/78s4Pb7gQx2t/Om4yqChgkM7WTM2v65ZL2wr/qptXqbeev5VxxXboFDd1KKuuVuqo8v8Wjjapy9W7BuZxQx3zlPO7ne0ck2mveyjNiGtdKnjAABUSysSEjSgT19zqaJ7+/XVW0lJasCszQAAVHseco9vDf2p5d/VI+gCHXl5gz47dtraX5XVVL1r/6GBrYzomqvd80ZodOxGZeT8EV/zstK0bt40RSdl2Wv24Nq9vVoUPCOF22dpw8hHNSk+pVD748rYNF+ju0drszmOup0iOjT3lCcUAMpVdna2hg8bpkkTo836lJhpipk+naHNAADA5Dk5Kf+e19/T9eW+X6ydVZzvNRo0fYhampUsbZ73kML+1sJcQsjY/npjT42Zl+y4/7fVEEX3Ciz6hPi2Ubd72lmV7Vo1+YFC7YMU9uAcK/TaY3NYL3UpuFoMANVHRkaGevXoUTC0efW6RPXr3986CgAA4EnBN/egdn953Kp4ipryDX5YL7w2QZ0d81wVr9UgxS19WMG+Zz4ddRXY65+KDm1s1YvnEzpNr826S0243AugmlmXmKiwLl3Noc233RGm19esUVBQkHUUAADAwTOiku1/2rnyeS39/rT0pyBd5e9JQ9fqqPF1Q7Ro82rNnTOiaABu1U/Rz65W6ltR6tS4jrXzDL5X6f64d5UUH6vo/m2tnQ4+oSM0y95+w5L+anlWaAYA72UsVTRr5kyNGTnKrI+dMEFPz56thtzPCwAAiuGetJSToZTERPMv9efbXo9/VlMH91L3mE36XbXU6N6uura+J6xnVFTNxsH6R49RWrJzn/bst7akGN1/Z7Aan/dZqKfAThG6P2bdH23t2/a4UeruVHsA8B7GUkUDIyO1eMFCc2jz8lUrNWToEO7nBQAAJXJT8P1SK0eOMv9Sf77t8clz9FLyHhnTWdVqcZ+mDrtJDTxhOSMAQLkzlirq2CFEn378ia674XotX7FC7du3t44CAAAUzwOuFV6slh176aHJC/X6yxPU9fILrP0AgOri5MnftGjhInOpIsPDw4bqxfh4NW3a1KwDAACci3uCb+MILSk0ZPfc22d6a9ksjY+8XW2MWZ0BANWKMbT5+cWL9fSMGWZ99txYjRs/nqHNAADAadwdCgCostLT0zWgXz+lp6WZ9/Mmbdyg8IgI6ygAAIBzCL4AgCppRUKCeoZHmEsVBQUH662kJAUGBlpHAQAAnEfwBQBUKcZSRROjojRpYrRZnxIzTcMfHcHQZgAAUGYVHHyPKyNlfbHLFJV5W5+mrDzrywMAvEpGRoa6hYXp5RUrzaHNq9clql///tZRAACAsqlhs7PKFeCA1g26S2OSj1r1ctBghF79dJSCa1t1uE2An7+WLI23akD5SE1NVUhIiFVDdfJ5WpoWPvuMWTaGNt/Tp68aNWpk1l1Bn0J5o0+hvNGnUBGMfvVkdJRVg4zgW3G+syU+2M7Worlf+W1Xz7Ft+9368nAr4/koq02bU6xS6dHWeZ7YdsrUGKtUemX9vtXtMa5qbXNzc20zZ8woeJ1fuGChua8wV76vO/qUwdPaVqff1eBKW/qU8zytrbt+XvqU82jrPFf6lTeq4KHOVyg8Lq2YJYpc2D7nai8AeAtjqaKBkZFavGChWV8U97yGDB3C/bwAAKBcMbkVAMAttm7dai5V9OnHn+i6G67X+1tSFRoaah0FAAAoPwRfAEClW7RwkQb06WsuVXRvv756MT5eTZs2tY4CAACUL/cHX1uuvk97Ry/FRuux/nfoWj9/c9KkgHZ36L6HxylmyWql7Phev1bgFFwAgMqRnZ2t4cOG6ekZM8z67Lmxipk+naHNAACgQrkx+Np06vCnWvZYd3XqMVRT5yXordRdOmYd1dFd+vDd1xX/1FgNujNc98esV0bOaesgAMDTfPPNXvXq0UPvvp1kLlWUtHGDwiMirKMAAAAVx23B13biM81/cKCmvfG1TquW6rcKVZ9h/9TUubHmFYCnn3pCjwy8Q60a1LKffVjbXhilfk+s13enuPQLAJ7GWIf939OmmUObb7sjTK+vWaPAwEDrKAAAQMVyU/A9rs/jntKz23OkWu10//y3tGn9Ek0b/5D6RkSYVwAi+g7WyCfn642t72vlxDA1tMfj7Dee0lNvfieiLwB4hl9++UUTo6I0ZuQosz52wgTNX7BADRs2NOsAAACVwT3B9+jHennBF/bC/6nns3P1z24t9ZfaNRzHzlCjblNd/+BTihvfQbV0WBuXbtaePOsgAKDKMpYq6hYWppdXrDSHNo8aN95cqggAAKCyuSH42pS782Nt+N1eDBqgQbc303mX5a1RX237D1JvH3s5/SOlHzIaAwCqquTkZHXsEFIwtHn5ihVq1bq1dRQAAKByuSH4ntbxwz8qx16q36mt/J39CeoF6NqbGtgLmTrw42+OfQCAKsUY2jxr5kwNGTTYrD88bKienj2bpYoAAIBbuekeX4e8k7/bY7CTbKf1+++McQaAqsoY2jx2zBgtXrDQrC+Ke17jxo9nqSIAAOB2bgi+tdSg2f/pcnvpePI2fX3SuamqbEe+VOqH/7OXmumKSy9w7AQAVAlbt27VgH79CpYqen9LqkJDQ62jAAAA7uWG4FtDFwReq66X1JIyXtTsl3Yo53zZ99QBJT/znN783R6bb7xZ1zT5k3UAAOBuixYu0oA+fc37ee/t11dvJSUxtBkAAFQp7hnqfFGw7h3+d9XST0qNGa7RCzYp41hxE1adUs53n+r1KY/qkeW77PUA3TMkVH5uHaANADBkZ2dr+LBhenrGDLNurMEeM306Q5sBAECV46YI6aPAflGafvsV9vIBbZ41SGFXt1e3+8do2pxYzY21bzMm6pGet+qav/fW48u/0Gn5qtWgiXq046UqfuEjAEBlSU9PV68ePQqGNidt3GCuwQ4AAFAVue/a6Z8C1PPpeC0cG6ZmtYwdP2n3+2u07Jln9Nw8+7Zwhd7ZlumY/KrB9eo7a4VeevxmXULqBQC3WpGQoJ7hEQVLFb2+Zo0CAwOtowAAAFWPWwcN1/BtoS6PPKe3t6zXC3Mna/TQfuoWGqrOxnZbL93/2BOKWfKqNr6XoKl3t1WD2qReAHAXY6miZUtf1KSJ0WZ9Ssw0zV+wQA0bNjTrAAAAVVUNm51VrjynT+lUzdoix1Z9AX7+Vql4S5bGWyWgfKSmpiokJMSqoaowlip6bm6sfjpyRBc3aqT7HhioVq1bW0erNvoUyht9CuWNPoWKYPSrJ6OjrBpkBN9K9/0624g7HrXNSEi2bf/uf7bfrd3wLC2a+1ml0tu0OcUqlR5tneeJbadMjbFKpVfW71vdHuPStk1cu9b8793YenTvYTtw4IB1pHTc9fu6o08ZPK1tdfpdDa60pU85z9PauuvnpU85j7bOc6VfeSM3DXXO0y9frteSqEHqHtJZ3R+doWVJafou55R1HADgbsbQ5lkzZ2rMyFFmfeyECRr88MMsVQQAADyOe4Kv71/V9YGOusKa1GrX+kWaNrSnbgkK00P/jlfSx9/of6cqfwQ2AMDBGNo8MDJSixcsNGdtXr5qpYYMHaI6dS6wzgAAAPAcbgq+rdVr0lIlp/9Ha+Om6aE726q+sf/0Hm1eNEWP3nOrru8cqegFifo447B+JQMDQKVJTk5Wxw4h+vTjT3TdDddr+YoVat++vXUUAADA87hxVucaqu17hdqE9tf4Z9cq9bN3FD9rrPqENJdxIfh05gdaNXOU+nXppNsHTNSC1/6jr478KjIwAFSM/KHNQwYNNusPDxuqF+PjGdoMAAA8nluXM/pDTdVt1FIhdw/XtISN+uS9V/Ts5IfU2c/HfixXB1JXaM64+/SPa29W73++qf3m4r4AgPJSeGizYVHc8xo3frwuvPBCsw4AAODJqkjwLexP+ov/9QqL/KeWJG9Vyhtxin6gg3U/8GF9/k6GsrnsCwDl5syhze9vSVVoaKh1FAAAwPNVweBryNOvRzL0yYY1Wvn8M3p26RYd4CovAJQrY2jzooWLGNoMAAC8XpUKvrZfv9eOlNe0YPy9Crm2q/oOm6Il67frmP1YLb+uGjx5oV5940G1re04HwBQNsbQ5rFjxujpGTPMOkObAQCAN3N/8D11XAe2b9LKGSN0V/u/q3vkeM159VMz7KpWgDoPmaRn17yvbcmLNCHydgVfWU/kXgAou107d2pAv3569+0kc6mipI0bGNoMAAC8mpuC7+/6375PlBT/Lz0U2l6d7hqkJxeu166jxnjmi9XqzqGaGrdOKelJWvJ4pMKCm8m3dg1HUwBAmeQPbY6dNVOZ+7/Vvf366q2kJAUGBlpnAAAAeCf3BN+stzTulnv06OQl2rw/176jlupfdacemh6ntambtfbZ8eob2lZX+HJtFwDKw5lDm2fPjVXM9OkMbQYAANWCe4c6N2irfzw2Q3FvpChl3TyN73er2lzBUGYAKE9bt24tMrR5Usx0hUdEWEcBAAC8n3uC74Ut1Td+vVK3rtXcUb3Vqe0VDGUGgHKWP7R5QJ++RYY2M2szAACobtwTfP/SSp06/U2N67r3gjMAeCuGNgMAAPyB5AkAXubMoc3GrM0MbQYAANUZwRcAvERJQ5uZtRkAAFR3NWx2VhkolQA/fy1ZGm/VgPKRmpqqkJAQqwZnHTlyRK+sWqn0tDSz/sDgwWp/UwezXN3Rp1De6FMob/QpVASjXz0ZHWXVICP4AmXRormfVSq9TZtTrFLp0dZ5nth2ytQYq1R6Zf2+nv4Yf/jhh7ZbOnY0/5s0/v3666+tI8Xz9N+3tNzRpwye1rY6/a4GV9rSp5znaW3d9fPSp5xHW+e50q+8EUOdAcBDMbQZAADAOQRfAPBAxtBmZm0GAABwDsEXADxMcnKyZs/4N7M2AwAAOIngCwAewhjaPGvmTA0ZNFg/HTmih4cNZWgzAACAE6pu8LX9qqPf7tLnaV9o17fZ+pW5pwFUYwcPHtTAyEgtXrDQrA99dITGjR/P0GYAAAAnuDn45unXrF368ONvlGPtMdhydur1Cb11Y8c7dHeP7rqz4991x5DntHHfCZF/AVQ3xtDmjh1C9OnHn+i6G67X+1tS1S442DoKAACA83Ff8D11UKlzB+nmG+/QfWOStO+0td92WB/GjtPjr+5Q/i4pV5nvztbQ3jOVfPiUtQ8AvFvhoc0GY2jzi/Hxatq0qVkHAACAc9wUfHOVkTBRD859T9lG9YcDyjruiLm2rC1KeGmnvVRLDW+bqBXv/UfJb8Tq/qt8pcOvaGZCun4xz/RweYeUMilcAX7BeijxgLWzJMeVkZKoZRON8/0LtraDYrV2fZqy8qzTAHiNM4c2L4p7nqHNAAAAZeSe4HsiTS/P/49Oy1etBszQqx9EK7RBLfuBkzqQ+q42/26cFKTI4ffoBv8r5Nc2XI/HjtV1tX7Xvuff0MfHPT3pndShN2ZpxLLtVv0czIA8QGGRozQtoej5ucnPaNyjPRXSbbpSsk5aewF4uuKGNoeGhlpHAQAAUFpuCb6n96Ur+fBpqcUgTXnibgVf7qMaxgHbD0pL/tQxxPmvt+sW4yqvqYb+FHCjbv+bjz3t7dW3P3h2yMs79LZinkhUrlUvmZMBeVecRjz3oY5bVQCeiaHNAAAAFcMNwfeUDn+zWwftpXpdb9RVF5qR1+HYV9qy+Sd7oZYuDwvW/xkXgfPV/LPqX3KBvZCtoyc8+D7fnE/1zINR2nD+1Csd/1ALCwJyW/WZvFRJ/92rPfv32bd0Jb0wWp19zIPKTYjT2oxfHRUAHicjI0PdwsIY2gwAAFAB3De5lV3NOn+yR9x8eTqenqp3zGHOzdX1+v+TEXML2H7TzyfMgx7smNKe/7ee21VPXWf9W0MaWLuLZX880t7TOjP1NlOf+Bc0LbKTAn3zn7J6Crx1uOYkjFZLs/65Erd8a28FwNOsS0xUWJeuytz/rW67I4yhzQAAAOXMDcG3pnzqN5BxofLEV5k6XLA+0f+044NUx9VNnxD9vc1fzL35bFk79J80Y9GjAPk3qevY6VFOKitlvqLnpcknbIImhgeqtnWkeCf1w/69jsejQYS6hzQy9xZVU77BfTSufzN7OVc7UnfpR8cBAB7g5MnfNDEqSmNGjjLrYydM0NOzZzO0GQAAoJy5Jfhe1LKdbqolnU5+XYk7jslmrOf7zQYtX/6NeYZPj1sUXO+PH82W87XWzHlWG40LvkHBan3puSNjVWTc1zt1WJx2txqt+Fl3qcl5H/kj2plqzG5tfzy6tVNAib+yr5oGXOkobtunQ6z2BHgEY2jzJHvofXnFSjXza67lq1ZqyNAhDG0GAACoAG4IvlKNxjfp3r4B9uS7RbO7h6v3wLt1e5fHlWyOZL5aA3sEq55RzPtenyz/lx7+R3dNeM0Ixc1058OhCnDLT+2CvEytnzZDG3KD9cj0AQouGK58Dnk/69jh3+wFH7UIuNweb0tSV/5tr1F9o3h0n747QvIFqrr8oc0/HTliDm1evmKF2rdvbx0FAABAeXNPhKxxqTqOfkpjOjaxh99Mfb45TQfMqZyb6O8Tn9SD7czYaz/vpDKTX9Hm/caA3ysUOuU5TQu7wjEDtMc4prR5ozQmSeo8eaoGBZsR9fzswfdopvF7X6BL6v/ZyScqW8c8eeIvwMtlZ2cXGdoc3rMnQ5sBAAAqgduundZocJ2GvpCo9fFPa8LIEXo06t9auOY1LXywnS7KT7Y16uny1teq29BJevaN1Xru/jby9ajUm6ectOUF9/VOvu+qc1y5LbvaTfwVbJY8fMZrwIulp6erV48eRYY2d/vHnQxtBgAAqAQ1bHZWGeUsL2uTpj4wQgnfdtXs5BkKb1LHOmJ3Kk1zr+up5442UOe5b2hJxBXWAcv5jheWlaiHbhylzWqlR9a8qpHBzsfrAD9/q1Q29z04yCoBKMnO//5Xn338kVlucuWVCvn7zapL4AUAABXsyegoqwQZwRcV4PS3tsQhN9paNL/LNum9g7bT1u4Cv2+zxV7tZz/ezjZ47XfWzkLOd7yw79faBjc3zg2zxW47Ye2seC3s37OsNm1OsUqlR1vneWLbKVNjrFLplfX7VtTv+tNPP9mGDR1q/rdibAnLl1tHHNz1GFe3tu7oUwZPa1udfleDK23pU87ztLbu+nnpU86jrfNc6VfeqApME3VKOUd+UFZW1jm2Q9q/63N9kpKo56e+rB1VfjTvSR16I1bRScfV8rGJGtupSYWOKT91aJ/SzFJDNbjI82a8BrxR/tDmd99OMoc2r16XqH79+1tHAQAAUJncF3xtx5Xx9lwN6RSkq6+9USE3tj/H1kGhYT3UN3KUZqz9Xubkz1Xaj/r0zfeVa//f7nm9dbWfvzmkuMgWYAxjNs49qs0j/27tv0NzzbWK7Wr+WQ2aGasd/6bDx35WnmPveTRUfYIv4Fa//PKLFi1cpJ7hEcrc/605a/Pra9YoKCjIOgMAAACVzU3B9xfte/1J9Rs2T8nmjM3O8lGzTgG6pApcp65w9uBb/5IL7IVc7d3zvaw4XIxTOpK5T8eMYgN/XdmI4Au4y8GDBzV2zBg9PWOGWZ89N1bzFyxQw4YNzToAAADcwz0RMne7XpvzprKNcoPr1HNcjJ6eO0Oj72xu3/EXtRs42fzA+O/Jo3X/nW0da9Sqmf4xO1Fvz7lTV1aH4KtGah3S2izl7tivH0q85HtMX32W7ihe468m5F7ALbZu3aoB/foVDG1O2rhB4RER1lEAAAC4k1si5Ok9n+mt709Lta7Xo3GL9e/h/RQRcbci7w2Vr3KUddHfdLv9A2OvyEcV/ezr2vjGZIVefFBvPrta246ZC/5WcVcoPC5Ne/bvK3nbs1qPNDDONWZt/o+1/+1CMzLX0WV+LWQMdlb6YsW+kVnMcOc85ex+RyvXZNrLPmoT0kqXOg4AqCQnT/5mDm0e0KevObT53n599VZSkgIDA60zAAAA4G5uCL6nlX3gG2UZxWvDFR7cQI6leWvI56/B6ljrtL5P2aHMgpT3JzVo21//emaQmu1/Wc+t+9oD7vEtDzVV79p/aGArI/pmacPIRzUpPkUZOfkPzHFlbJqv0d2jtdkcLd5OER2au2vsOlAtGUOb58x6usjQ5pjp01mbFwAAoIpxQ06y6fTJ3+3xV6p/4//TFY7U69Cgsfzr2f/duVv7/1f4ym4tNbj+TvVp+7s+ff5d7fitmiw97NtG3e5pZ1W2a9XkBxT2txbWRFhBCntwjhV6JZ+wXurSoq6jAqDCJScnq2OHEH2zJ0PX3XA9Q5sBAACqsKp1gbD2pfK/poH0+zfan3XS2mn505UK6nCFdHC7vjp0xjGvVVeBvf6p6NDGVr14PqHT9Nqsu9SEy71AhTNmbZ41c6aGDBps1ruEhenF+HiGNgMAAFRhbohKtdTg8itkXNj9+dBPOuHYaamnywMvsf97QBkHih4xftTadWrZ/83Sj0erx2Bnk+9Vuj/uXSXFxyq6f1trp4NP6AjNena1Nizpr5a+pF6gomVkZGhgZKQWL1ho1hfFPa+7e9/D0GYAAIAqzg1pqYbqNPurrrdn2N8T12tT5q/WfsMFuvTKpvZ/f9CWtH0qstCR7ai+++pHq+IFagdr5OfGhFZpWhJxhbWzJPUU2ClC98es+2NyLPu2PW6Uut8ZrMZkXqDCrUtMVFiXrvr040/Moc3vb0lVaGiodRQAAABVmVsiU43G1yu8W2N78l2vqKH/0uvbMpVzyrhvt46a/O1atdBp/fDqq0ra97Mcd/P+rqNpb2pl8k9SrVZqeSVXVwBUDmNo88SoKI0ZOcqsj50wwRza3LSp8Uc6AAAAeAL3XCuscblueWSYQv4knf7yJT3es4+mvnfYOKA6fwvT4Fsuln5aowk9+mrk1FmaGTVI3XvP1LbTtdSw5226tpEx5BkAKpYxtLlbWJheXrHSXJt3+aqVGjJ0CEObAQAAPIybBsnWUN2/9tasV/6lvtcY9/ReKr/LrPVra/opYlqM+ray149u11svLtCSFR/ogLHs71WDNHNUR11SeCZoAKgAKxISzKHNxtq8t90RpuUrVqh9+/bWUQAAAHgSN94deoEuCb5XU195V8lrJuuO/8tfiqeGal9xm55ctUZxTz2mPnd2Vec7++uRp+L15oox6nT5BdZ5AFD+srOzNXzYME2aGG3Wp8RM09OzZzO0GQAAwIO5f1qk2g3kFxwkvyKzEtvDb/1Adeo7UtOeXawlz07TyL4dFVj/T9ZxACh/6enp6tWjh959O8kc2rx6XaL69e/P0GYAAAAP5/7gCwBudvLkb+bQ5p7hEQVDm19fs0ZBQUHWGQAAAPBkbgi+p5RzIFM//OqYr9nhV+3f+LzmxsaWsL2gjft+sc4FgPJz8OBBPb94cZGhzfMXLFDDhg3NOgAAADxfDZudVa5Ytlx9//kGvbJ4vha+21Bjk+I1uFX+8MEcpcX2Vu95u6z62WpdP1FrXxqo1nWZ2aqqCPDz15Kl8VYNKB+pqakKCQmxahVr186demnpi/rpyBFd3KiRHhk5int5vVBl9ilUD/QplDf6FCqC0a+ejI6yapARfCvc7wds/4l9wHZdcz9bC3P7m+3eFXtsedZhm+2EbducMOtYSds1tsgVX9tOWi3gfsbzUlabNqdYpdKjrfM8se2UqTFWqfSc/b65ubm2mTNmFLy+3DfgPnNfWVS358cT21ZGnyqOp7WtTr+rwZW29CnneVpbd/289Cnn0dZ5rvQrb1QJQ51/0b61szR67nvKNqq1AtR5yBjd366BefQsIZO09qOtSs3f3luk+/2MSa1+0n9iV2nL0dOO8wCgDIyhzQMjI7V4wUKzPnturO5/YCATWAEAAHixCg++tu/f1cwn1jlC78V3KHrty1rweKRub9VQxQ5arltflzRurMb5m3+oHpncX42MY4ff1CvvH1TljM0G4G2Sk5PVsUOIPv34E113w/V6f0uqwiMirKMAAADwVhUcfH/Vnndf18bfjXJbPbxgmu5re7Fqm8ecVUsNOvTUg2197OXD2pyUpiySL4BS+OWXXzRr5kwNGTTYrD88bKhejI/nfl4AAIBqomKDr+2gPk1KN4t/uv0B9b++hKu85/OnFurUo51ZPP2fz7X7RJ5ZBoDzycjIULewsIKhzYvinte48eMZ2gwAAFCNVGzw/SVLe3fm2At/0Q23tlPjMk/IfIGatWqrekYxd6++/eGkuRcAzmVdYqLCunQtWJvXGNocGhpqHQUAAEB1UbHB9/hhfXfCKDTR1S0uLtvVXlMNXdD8r7rWLGfr6IlTZgkAipOdna2JUVEaM3KUWR87YYKenj2boc0AAADVVIVPbuUcXwWPelt79u/TnrgINbb2AkBppaenq1ePHnp5xUo182uu5atWasjQIQxtBgAAqMYqNvjWqqMLaxmF33TiF3OGqzLLO3FMh81SQzW4qHTTYwGoHjZvSlbP8IiCoc2vr1mj9u3bW0cBAABQXVVs8G14hVpebiTfLKVl/KiyT0l1Sj9lfKmvjKJPCzW/rI65FwAMxtq8w4cN08sJCWZ9Ssw0zV+wQA0bNjTrAAAAqN4q+IpvE7XuZNxTl6ud72zTt2VNvrYf9dk7qTKuGde6/m9qcVEVGaENwO22bt2qAf366d23k3Rxo0ZavS5R/fr3t44CAAAAFX6PbwO17RgiYwXe0x8t1dIPflTpl+C16dddSYp/K8tevkSdI27QFWWfJQuAlzDW5l20cJEG9OlrDm2+t19fTZk+XUFBQdYZAAAAgEMFB99aahjSQwNb/Mle3qOV42ZrzTcnShF+bTp19CMtenyutp22Vy/5h+7p2NSF2aEBeANjaPPAyEg9PWOGWZ89N1Yx9tBbp84FZh0AAAAorOLHDF8YpH7R96mZUT78qibc/Zjmbdit/506X/z9XUd3Jmpq/4f03HZjLeBmunPKQHVsYM6WBaCaSk5OVscOIfr040903Q3XK2njBoVHRFhHAQAAgLNVws2ytXVJx0f13JQ7ZE4z89N7eu6hbro1/DHNjE9UysfblXHge2VlZdm375Sx/WOlJC7VjEF36MY7Rmvll0bo9VWrQVP1RNgVXO0FqiljaPOsmTM1ZNBgs/7wsKF6MT5egYGBZh0AAAAoSeXMElXjL2p937+04plBusa8Yntax75cryWTR2nQPeEKC7lJITe2t283K+yuezVo5FQ9n7zHfpZdrb/qH5Nf1IuP36xLSL1AtZSRkaFuYWFavGChWV8U97zGjR/P2rwAAABwSuUEX0ONegq86wmt2PiGFk1+QDc1M6a8OodazXXTA5MV987LejryOl1Sm9QLVEfrEhMV1qVrwdq8729JVWhoqHUUAAAAOL8aNjurXLlOHdeBjN3as2+/vt13UEdPGj/GBWpwxZVq0qSFWgX9VVf41nacC7cJ8PO3SsVbsjTeKgHlIzU1VSEhITpx4oReil+q9LQ0c394z57q0rUrE1ih1PL7FFBe6FMob/QpVASjXz0ZHWXVICP4AmXRormfVSq9TZtTrFLp0dZ5nth2ytQY2xdffGG7pWNHs48Z/xp1Z5T1+1a3x7i6tTX6VFlVp8eqOv2uBlfa0qec52lt3fXz0qecR1vnudKvvFHlDXUGgPMwJrDa+d//qmd4RMHQ5tfXrGFtXgAAALiE4AugSjDW5h07Zow++/gjsz4lZprmL1ighg3N+eABAACAMiP4AnC7rVu3akC/fnr37ST5/PnP5tq8/fr3t44CAAAAriH4AnCb/LV5B/Tpaw5tvrdfX0X0upu1eQEAAFCuCL4A3MIY2jwwMrJgbd7Zc2MVM326atdmNncAAACUL4IvgEqXnJysjh1C9OnHn+i6G6431+YNj4iwjgIAAADli+ALoNIYQ5snRkVpyKDBZv3hYUP1Yny8mjZtatYBAACAikDwBVApMjIy1C0sTC+vWKlmfs21KO55jRs/XhdeeKF1BgAAAFAxCL4AKtyKhASFdelasDbv8hUrFBoaah0FAAAAKhbBF0CFyc7O1vBhwzRpYrRZN9bmfXr2bIY2AwAAoFIRfAFUiPT0dPXq0cNcm9cY2rx6XaK5Ni9DmwEAAFDZCL4AypUxgdVbb65Xz/CIgqHNr69Zo6CgIOsMAAAAoHIRfAGUG2Nt3rFjxmjd6tVm3Vibd/6CBWrYsKFZBwAAANyB4AugXOSvzWsMbb64USMlbdzA2rwAAACoEgi+AFxiDG2eNXNmkbV5p0yfrsDAQLMOAAAAuBvBF0CZGWvzDoyM1OIFC816/tq8depcYNYBAACAqoDgC6BM1iUmmmvzfvrxJ7ruhuv1/pZU1uYFAABAlVTDZmeVgVIJ8PPXkqXxVg3VxYkTJ7Tm9de05YMPzHp4z57q0rVruV3lTU1NVUhIiFUDXEefQnmjT6G80adQEYx+9WR0lFWDjOALlEWL5n5WqfQ2bU6xSqVHW+eVd9svvvjCdkvHjuZzb/z74YcfWkeKcuX7TpkaY5VKr6zftyo9xs6irfPc0acMnta2Ov2uBlfa0qec52lt3fXz0qecR1vnudKvvBFDnQGclzGB1YqEhLPW5m3fvr11BgAAAFB1EXwBnFP+2ryTJkab9Skx01ibFwAAAB6F4AugRFu3btWAfv3MtXmb+TXX6nWJ6te/v3UUAAAA8AwEXwBnMYY2v/bqKxrQp685tPnefn31VlKSgoKCrDMAAAAAz0HwBVCEMbTZWJt3oz3oGmbPjVXM9Om68MILzToAAADgaQi+AAoYa/N27BBirs37fwGB5tq84RER1lEAAADAMxF8AZhDmydGRWnMyFFm/eFhQzV63Fg1bdrUrAMAAACejOBbKY4rIyVRyyaGK8DP/48tbKKWJX6gjJw867ySFN++7aBYrV2fpqzzNQfOISMjQ93CwvTyipXmBFbLV63UuPHjVafOBdYZAAAAgGcj+FawvKytenbQbQqLHKVpCdutvZZdKzRt5P0Ku364lu0+bu08Q94hpUwaUGz73ORnNO7RngrpNl0pWSetvYDzjLV5w7p0LVibd/mKFazNCwAAAK9D8K1IeZlaP2W05iVnWTtKkPuOpnWfpHWHzgyvJ3XojVkaseyMwHymXXEa8dyHKiE6A2fJzs7W8GHDiqzN+/Ts2QxtBgAAgFci+FaYPB3/4AVFJzlCr0/oCM2K36Av9u/THnPbrdQ109WnlY95XLmJil5wRng9/qEWPpGoXLPSVn0mL1XSf/da7dOV9MJodc5vnhCntRm/OirAORhr8/bq0eOstXmZtRkAAADeiuBbYbKVlpziCK2tRit+7mPq3ilQvuYxQx01Du6raa/F6xEr/Oa+9bn2nDKLdvbgnPae1plfoJn6xL+gaZGdFOib/5TVU+CtwzUnYbRamvXPlbjlW3sroHjGBFaLFi4qsjbv62vWsDYvAAAAvB7Bt6KcytQXb2XaCz5qc09XXV0QWM/g20bd7mnnKB/dp++O5Cffk/ph/15HcG4Qoe4hjcy9RdWUb3AfjevfzF7O1Y7UXfrRcQAoIn9t3qdnzDDr+WvzNmzY0KwDAAAA3ozgW1FqB2vk58aQ5C+1NrLlOR7o2rqofnHh44h2pu40Sz7d2imgtlkshq+aBlzpKG7bp0MFV4wBh+Tk5IK1ea+74XolbdzA2rwAAACoVgi+bndKJ45lO4pBwWp9qZVw837WscO/2Qs+ahFweaEh0meqK/+216i+USxyxRjVnTG0ednSFzVk0GCzbqzN+2J8vAIDA806AAAAUF0QfN3t+Ed6aeYWe8FHbbq3V4v8Z8QefI9mGgOdL9Al9f/s5BOVrWMnCL74Y23eLR98YNYXxT1vrs3LBFYAAACojgi+7mSs0Ts7VquMfNtqiKJ7BZbpCandxF/BZilbRwm+1d66xMSCtXmDgoP1/pZUhYaGWkcBAACA6qeGzc4qozIZoXfKUA0y1+gN1iNrXtDIYHPAssOpNM29rqeeO9pAnee+oSURV1gHipGVqIduHKXNamX/Oq/av07JA6PPFODnb5XK5r4HB1kluNuvv/yi1P98oEPffWfW27YL1t/atlXt2iXeIA4AAAAv9mR0lFWCjOCLSnb6oO29J++ytWjuZ9/usk1676DttHWowO/bbLFXG8fb2Qav/c7aWYLv19oGm18rzBa77YS1s+IZP39ZbdqcYpVKj7Zn++KLL2y3dOxoPifGv0bd4Im/75SpMVap9Mr6fT3xcaKt89zRpwye1rY6/a4GV9rSp5znaW3d9fPSp5xHW+e50q+8EUOdK1vOl1r2UE/rSm9b9Y9fqCc7NXFpzPmpQ/uUZpYaqsFFXN2rTvLX5u0ZHmEObb7tjjDW5gUAAADOQPCtNHnKyUhU9N29NS05y14/T+it+Wc1aOZjL/ymw8d+trd2RkPVJ/hWG8bavGPHjCmyNu/8BQtYmxcAAAA4A8G3UhxXRuIU3dNllFbtypVa3afZG5dr8rmu9NqDb/1LLrAXcrV3z/fKcewtxikdydynY0axgb+ubETwrQ7y1+Z99+0kNfNrztq8AAAAwDkQfCuaMYnVpAEKG/mSdturPqHT9NZrkxQeWM9xvESN1DqktVnK3bFfP5R4yfeYvvos3VG8xl9NyL1ezRjaPGvmzCJr876VlMTavAAAAMA5EHwr1DGlzXvUup+3sTqPXqkNS/qrpa8zD3sdXebXQsZgZ6UvVuwbmcUMd85Tzu53tHJNpr3sozYhrXSp4wC8UP7avIsXLDTrrM0LAAAAOIfgW2HsoTRtuaLnGdNO+ajlY89ozoj2auz0I15T9a79hwa2MqJvljaMfFST4lOUkZMff48rY9N8je4erc3GOsBqp4gOzXlCvVThtXmNCaxYmxcAAABwHjmpouRlaPWURebwZuM+3d3zeutqP39z3dyStzs0N63Q3by+bdTtnnZWZbtWTX5AYX9rYZ0bpLAH51ih1x6tw3qpS4u6jgq8RnZ2tuY/+4zGjBxl1sdOmKCnZ89W06ZNzToAAACA8yP4VpC8vVuVmG6l0jKrq8Be/1R0aGOrXjzjvuHXZt2lJjybXiU9PV29evRQelqaOYHV8lUrNWToEIY2AwAAAKVEVKoQeco5uE97rZpLfK/S/XHvKik+VtH921o7HXxCR2jWs6tLcd8wPMGZa/MGBQeba/O2b9/eOgMAAABAaZCWKkRN1es0Rdv379OeUm1va2Swr/U1CqunwE4Ruj9mXZHzt8eNUvc7g0tx3zCqujPX5p0SM03DHx3B2rwAAACAC4hMQBVhrM07oF+/Imvz9uvf3zoKAAAAoKwIvoCbFV6b1xjafG+/vqzNCwAAAJQjgi/gRsbavAMjI4uszRszfToTWAEAAADliOALuEn+2ryffvyJrrvhetbmBQAAACoIwReoZMbavBOjooqszftifDxr8wIAAAAVhOALVKL8tXlfXrGStXkBAACASlLDZmeVgVIJ8PPXkqXxVg3ncvLkb0r9z3/0ckKCWTfW5r0v8gFddNFFZh1/SE1NVUhIiFUDXEefQnmjT6G80adQEYx+9WR0lFWDjOALlEWL5n5WqfQ2bU6xSqXnaW0PHDhg69G9h/l4GVvC8uXWEedUp8fKMGVqjFUqvbJ+3+r2GFe3tu7oUwZPa1udfleDK23pU87ztLbu+nnpU86jrfNc6VfeiKHOQAXKX5s3PS2NtXkBAAAANyH4AhXgzLV5O9x8M2vzAgAAAG5C8AXK2Zlr886eG6v7HxjIBFYAAACAmxB8gXJU3Nq84RER1lEAAAAA7kDwBcqBMbS58Nq8Dw8bytq8AAAAQBVB8AVcZKzN2y0srMjavOPGj2doMwAAAFBFEHwBF6xISFDP8AhzAqvb7gjT8hUr1L59e+soAAAAgKqA4AuUwcGDBzV82DBNmhht1qfETNP8BQsY2gwAAABUQQRfoJS2bt1qrs377ttJ5tDm1esSWZsXAAAAqMIIvoCTTp78zVybd0CfvubQ5nv79TXX5g0KCrLOAAAAAFAVEXwBJxhDm+fMerrI2rwx06czgRUAAADgAQi+wHkYa/N27BCib/ZksDYvAAAA4IEIvkAJzlybt0tYGGvzAgAAAB6I4AsUo7i1ee/ufQ9DmwEAAAAPRPAFzsDavAAAAIB3IfgCluzs7LPW5n169myGNgMAAAAejuAL2Blr8/bq0eOstXkZ2gwAAAB4vho2O6sMnCXAz98qFW/J0nir5JmMtXk3btigdatXm/UON9+sHr3u1kUXXWTWUflSU1MVEhJi1QDX0adQ3uhTKG/0KVQEo189GR1l1SAj+AJl0aK5n1UqvU2bU6xS6ZVX2wMHDtju7d3b/D2MLXHtWutI8arCz1xanth2ytQYq1R6Zf2+1e0xrm5t3dGnDJ7Wtjr9rgZX2tKnnOdpbd3189KnnEdb57nSr7wRQ51RLSUnJ5tr83768Sfm2rxJGzewNi8AAADgpQi+qFaMoc3G2rxDBg026w8PG2quzRsYGGjWAQAAAHgfgi+qjYyMDE2yh978tXkXxT2vcePHM4EVAAAA4OUIvqgWjLV5w7p01U9HjhSszRsaGmodBQAAAODNCL7wameuzXtv//6szQsAAABUMwRfeK309PSz1ubtfGsoQ5sBAACAaobgC6/zyy+/aNHCReoZHqHM/d+aQ5tfX7NGQUFB1hkAAAAAqhOCL7zKwYMHNXbMGD09Y4ZZnz03VvMXLFDDhg3NOgAAAIDqh+ALr5G/Nm/+0GbW5gUAAABgIPjC4xlDm2fNnFlkbd63kpJYmxcAAACAieALj2aszdstLEyLFyw066zNCwAAAOBMBF94rHWJiebavMYEVtfdcL3e35LK2rwAAAAAzkLwhcc5ceKEJkZFaczIUWZ97IQJejE+nrV5AQAAABSL4AuPYqzN+9TUKXp5xUpzAqvlq1ZqyNAhDG0GAAAAUCKCLzyCMYHVioQEc23en44cKVibt3379tYZAAAAAFA8gi+qvPy1eSdNjDbr9/bvz9q8AAAAAJxG8EWVtnXrVg3o169gbd7V6xLV+VYmsAIAAADgvBo2O6sMlEqAn7+WLI23auXr5MnfzFmbNyYlmfUON9+sPvYAXKfOBWYd3is1NVUhISFWDXAdfQrljT6F8kafQkUw+tWT0VFWDTKCL1AWLZr7WaXS27Q5xSqd7cCBA7Z7e/c2v76xJa5dax1xOFfb86Gt89zVdsrUGKtUemX9vtXtMa5ubd3Rpwye1rY6/a4GV9rSp5znaW3d9fPSp5xHW+e50q+8EUOdUaUkJyerY4cQffrxJwVr84ZHRFhHAQAAAKD0CL6oEoxZm421eYcMGmzWHx42lLV5AQAAAJQLgi/cLiMjQ93CwgrW5l0U97zGjR/P2rwAAAAAygXBF25lTGAV1qWrMvd/a67Nu3zFCoWGMmszAAAAgPJD8IVbnDhxQsOHDdOYkaPM+tgJE/T07NkMbQYAAABQ7gi+qHTp6el6auqUImvzDhk6hKHNAAAAACoEwdcjHFdGSqKWTQw3187N39oOitXa9WnKyrNO8wArEhLUMzxCPx05Yg5tfn3NGgUFBVlHAQAAAKD8EXyrurxDSpk0QGGRozQtYbu10yE3+RmNe7SnQrpNV0rWSWtv1XTw4EFzaPOkidFm/d7+/TV/wQI1bNjQrAMAAABARSH4VmkndeiNWRqxrGjgPcuuOI147kMdt6pVzdatWzWgX78iQ5s738oEVgAAAAAqB8G3Kjv+oRY+kahcs9JWfSYvVdJ/92rP/n32LV1JL4xWZx/zoHIT4rQ241dHpYow1uZdtHCRBvTpa87afG+/vnorKYmhzQAAAAAqFcG3ysrT8bT3tM5Mvc3UJ/4FTYvspEDf/KesngJvHa45CaPV0qx/rsQt39pbVQ3G0OaxY8bo6RkzzPrsubGKmT6dCawAAAAAL5KRkaE+99xjTmBblRF8q6yT+mH/XsfV3gYR6h7SyNxbVE35BvfRuP7N7OVc7UjdpR8dB9zqzKHNSRs3KDwiwjoKAAAAwFtcfPHF+uGHH8wJbGfNnKns7GzrSNVC8K2yjmhn6k6z5NOtnQJqm8Vi+KppwJWO4rZ9OnTKUXSHkoY2BwYGWmcAAAAA8CbGZLXGZ/6Hhw3V4gUL1atHDyUnJ1tHqw6Cb1WV97OOHf7NXvBRi4DL7fG2JHXl3/Ya1TeKR/fpuyPuSb4MbQYAAACqJ+Mz/7jx482RnpdddpmGDBqsiVFRZkaoKgi+VZU9+B7NNAY6X6BL6v/ZyScqW8dOVH7wZWgzAAAAAGOk54vx8ZoSM00vr1ipjh1CtC4x0TrqXgRfL1C7ib+CzVK2jlZy8GVoMwAAAIB8xtXffv376/0tqbrtjjCNGTnKnPzKmATLnWrY7KwyqpJTaZp7XU89d7SBOs99Q0sirrAOFCMrUQ/dOEqb1UqPrHlVI4NLHhh9pgA/f6sEAAAAABVn9bpEty1tSvCtqiop+JaVMZFVm1atzaHNsfPmsTbveRh/YDDWX8b58Vg5h8fJeTxWzuFxch6PlfN4rJzD4+Q8HivnVYXHypjhec7s2eaw5+tuuF7zFy40J8NyB4Y6e4FTh/YpzSw1VIOLSpz+uVzlT1q1OSWF0AsAAACgCOPe3uuDrzFDr3HPr3Hvr7tCr4HgW1XV/LMaNPOxF37T4WM/K8+x9zwaqn4lBV8AAAAAOJNxL+/wYcPMe3uNe3yNe32Ne37dvdoLwbeqsgff+pdcYC/kau+e75Xj2FuMUzqSuU/HjGIDf13ZiOALAAAAoHIZt0KuSEhQWJeu2rVzp7m86fwFC9S0aVPrDPci+FZZjdQ6pLVZyt2xXz+UeMn3mL76LN1RvMZfTci9AAAAACpRenq6BkZGatLEaHOll9fXrKlyy5sSfKusOrrMr4WMwc5KX6zYNzKLGe6cp5zd72jlmkx72UdtQlrpUscBAAAAAKhwxtDmnuER+uGHH7R81UrFTJ/u1nt5S0LwrbJqqt61/9DAVkb0zdKGkY9qUnyKMnLy4+9xZWyar9Hdo7U516i3U0SH5jyhAAAAACrNxRdfbA5rfispSe3bt7f2Vj3kpKrMt4263dPOqmzXqskPKOxvLcypyQP8ghT24Bwr9Eo+Yb3UpUVdRwUAAAAAKoFxddcY1uzuyavOh+BbpdVVYK9/Kjq0sVUvnk/oNL026y414dmsslhvDuWNPoXyRp9CRaBfobzRp1BWRKWqzvcq3R/3rpLiYxXdv62108EndIRmPbtaG5b0V0tfnkoAAAAAKE4Nm51VBkrFGHLNX91Q3uhXKG/0KZQ3+hTKG30KFYF+VRSXCQEAAAAAXo3gCwAAAADwagRfAAAAAIBXI/gCAAAAALxaDSa3AgAAAAB4M674AgAAAAC8GsEXAAAAAODVCL4AAAAAAK9G8AUAAAAAeDWCLwAAAADAqxF8AQAAAABejeALAAAAAPBqBF8AAAAAgFcj+AIAAAAAvBrBFwAAAADg1Qi+AAAAAACvRvAFAAAAAHg1gi8AAAAAwKsRfAEAAAAAXo3gi1I4royURC2bGK4AP/+Cre2gWK1dn6asPOs0VGt5hxI1rLW9bwxKVJa1r2R5ysn4QOviJ6pboT4V0Hqw5q55R2lZJ63zSuJqe1Q9JTynfuGKjk9USsZx67xzyMlQSuKLig67qlD79noo9hW9mZZl/w7n4Wp7VDl5WWl6c02sHjJem/Kf07CJWpb4gTJynHhGXe4TvH9WC3mHlDLJeI6D9VDiAWtnSVztE/Qpb3MqLVbXFnouS9xK/HzFZ6rzqWGzs8pAyYwX8ylDNWjZdmtHMVoNUtzScerUuI61A9VOXqbWDb9HY5LsL8mhsUqNi1Bj69DZTiorZZYejIzTbmvP2dqqf/xCPdmpSTF/pXO1PaqcvCx99ly0Bs5JVq6162yN1XlynOZEXiVfa09heVmbNPWBEUrYVdJX8FHL+5/RC5NuVeNiOoWr7VHV2F8nPn1RT94/Q5tLekpb3afZz4xReGA9a0dRLvcJ3j+riZM6lDhBt49MtL9+NVDnuW9oScQV1rEzuNon6FNe6FdlxA9S2OQtVv0civ18xWcqZ/C2DSfYX8zfmKUR53qBNeyK04jnPpQT12Pgjcw34kcdodcJeYfe1tRh53qBNWxXwrDF+uD42X+6drU9qhrjdWbGeUKvIUubJw/S+MTMs6+y5WVq/ZSJ5wgohlztXjZV8z84YtULcbU9qhzzdeJcodew6yWNCZ+kdYeKuZrhcp/g/bO6MPpazBNG6D0fV/sEfco75ejgnu+scunxmco5BF+c3/EPtbDgxbyt+kxeqqT/7tWe/fvsW7qSXhitzj7mQeUmxGltxq+OCqqNvKytevahnuf+63MRR/TBglhtMDuVj1r2n6S4jelWn9qrLzYu0SOh1t8yc1/XvDUZZ4QcV9ujyin8OuMTqkfmLCv0OrNPX3/0qib3b2ueaoTfDU+8cMabb56Of/CCovP/8NKqn6LjN+gLq/2e/27QksdC7b3FkKlVsW8qo0incLU9qp7CrxNnvned+TqxQfEb9p3xOlEOfYL3z+oh51M982CU1dfOw9U+QZ/yTnk/6dsdxh/PfNRm8jv6Ov91prjtrKu9fKZymjHUGSjZadv/3nvS1qa5n61F85ttE987bO0v7LTtxLZnbHeY57S2RSz9yr4H1cP/bF8nP2Mb3Mp47s/YHlxr+9466yz/e8820WrTJuo9+1cpxolPbLG3t3Z8rbuW2r4u3KlcbY8qpvDrTA9b7Laj1v4zHbVtm9PD8Zw2D7Ofd8Labzhsey/qZsexVk/a3vtfcU944fb9bPFf/2LtN7jaHlVOwevEjbaha78t/n3pnK8TrvYJ3j+rh/w+YO9nr75sm3W18Vy2sw1e+511vDBX+wR9ymt9v9Y2+JzP6znwmcppXPHFeZzUD/v3Ov6y2CBC3UMamXuLqinf4D4a17+ZvZyrHam79KPjALzaAa0b1ElhD85xDCM07pPb+KZmhzZwHD6HvB/2679mp2qlgT2uVbF31vleo4ETejmupqSnaeePp8zdBlfbo6rJ1Z7PP3W8zgTdqW5X1zf3nq2+rv7HnWpjlrO0M/OYWTIV/LXcftbgcIXUK+7trb6CH3xUfcxOsVNbviw0NNXV9qh66nXStJ3GFYutWhDRrPghbr5t1O2edo5y5lGdKHwZw+U+wfun9zPui5yv6Hlp8gmboInhgaptHSmeq32CPuWtTh3apzSzFKRr/19J74HF4zOV8wi+OI8j2pm60yz5dGungBJf0X3VNOBKR3HbPh0iY1Qj1lCr1yYpPPAv1r5zOaUfv0zTDqPoc52uDjBfRothf/Nu6q8WZnmP9h3KH67lantUPb4KHvW2Y1jVukgFnuOdqeZF9XWJVS7ix13akm68czdTWLtmJX/49L1cAYFGnzmqtH0/2nuTxdX28HzNGuiiwn3P5T7B+6e3K7gvstVoxc+6S03O+6na1T5Bn/JOp3Qkc5/MP+U28NeVjUp8YovBZ6rSIPji3PJ+1rHDv9kLPmoRcLn9pbQkdeXf9hqZf6M6uk/fHeFV1vvVU+v+M/TqR69pWmQnBfo6+3JySieOZTuKgf5qeo52Nf3bqqN5Abnw1T1X28OT5Z04psNmqbU6XPXH1Y4/9l+pgKYlv1KpZlO16dTcLB77MtP+MdLB1fbwUDk79NYrn9sLjdX1gc5qUejlxOU+wfundzMmPps2Qxtyg/XI9AEKduY90NU+QZ/yUsf01WfpZsn8g8avGUopsqSQsXTaayUs58dnqtJw4r9SVGv2F9mjmcZfvC/QJfX/7GSHydaxE7zIer96CuzURcGlXirB/iJ71HqRvaR+0SssJfpNh4/9bE2m4Gp7eK4j+mDZUsdfpoNCdVOLuuZeQ96Jo3LMh9lQ9S9y8q/lh48VDG11tT08jbEGaryi747Uc7tyHcNU7yo6HNrlPsH7pxc7prR5ozQmSeo8eaoGBTs5NNXVPkGf8k6FbqtQ1jv6190RGjR5RaEZlrO0ed54Depymx6K/1I51l4HPlOVhnP/zQBOqN3EX8FmKVtHeZFFeah9qfyvMf68mKvvjpbhRdbV9qhCjHvpFmtWQqa9HKxHJkWcc0h0yeqqiX+Ao3jmPZ1OcbU93CorUQ+ZV1CCFBY5Rat2BajPtFe1YX6EE8NUS+J6n+D905PkKSdtecF9vZPvK35NcVe52ifoUx4k53vtyTD+oGH/tJL8il4rcfk0x3J+o88Kv07iMxXBFwBQ1RVeWN9HLR973PkrLEAh5vBlY7msWSOsJV+2a1V0b3V9aJE+yypmHV/gDHlZ7+npqEXa7ROhadF3uPAHE8Dh1J7PlWRm3TOXEsrf0pUUP0l9WhkvWvbwOzNOm4pbdxznxX+uAIAq7IzQe/8zeuGx6yrkCgu8X83ASK3d+bxG3j1KS3b+sT50bvIM3fvALKUQfnEuxn29UyYqYVeA+i8YpzublPZWH+BstYNH6TMz4H6pt2Ii1SnwzHmVjVvLIjXlmXGOVQ2KXXccziD4otz8MRV7QzVw9n4o4FxO/ah9247aCz66soGz9zMV4mp7uNlx7Y5/TF0Lh95Jt6qxS0/krzq0b4+jeOYsvk5xtT2qkpqNr1P/xyfqEeNKyq44jXjuQ3uvKy3X+wTvn57gpA69EavopONq+dhEje3UpELfU1ztE/Qp71MzMFSR5pKRZVymis9UfA7EedT8sxo0M4ZWlOZG9lJMBIJqqLYuatDQUXR6cqDCE3m42h4eIWe31k0coG6T37G/xZ8/9Na8qIEci3eUYiKXQhN5uNoeHsy3ne59+FazmPvW59pjPf0u9wneP73Mj/r0zfftr0e52j2vt64umHG30BbQU88ZuUBHtXnk3639d2humnVHpqt9gj5VzdXXlVc1tsr5+ExVGrxl49zsL7L1L7nAXsjV3j3fn+NmelfWIEP1Yn+RrW+9yGbs08Gcc7zKHsnUTvNDRGO1bpZ/T6er7VG15SknI1HRd/fQmITt9npb9Zm7Rq9MOfeV3j/W9/1Oew6ea9qPY/ruyyyzVP+qZspfEMnV9vAShZZ+cblP8P6JM7naJ+hT1dyvOv7Tz1Y5H5+pSoPgi/NopNYhrc1S7o79+qHE/x7+WINM1/irCa+xKFFtXXpVsHWfyl59+0NJ99Tl6fhXn+sjsxwg/yb5S9e42h5Vl3E/7790T5dRWmXMaulzu6LfXa5pES3Pf0/vpa3UIci4EnJE/93/U8lXQo7v0WcfGu/cDRTsf6m9N1lcbY8qxv7ff8oktTWvuPXXsoxfrf3FKbSOpU8D/cXH+mjkcp/g/RNncrVP0Ke8zxGlTOzoGB0QHq+MEp9Tu0LLHvk0ri/j1YnPVKVD8MV51NFlfi0c/3GlL1bsG5nFvPnnKWf3O1q5xlhmxEdtQlrpUscBoFg1L/PT38xOtUWz57yjQ8W90Ofs0tqEDTInOgwKVutL/3jndrU9qiJjiZDF1iRW9leS0Al6efM83d/yzEk+SlDzYjVvY1xry9WOmYu0vtgZL49r95pXtM7sFK3V4apC12tdbY8qpqbqBd+i8PzXiWUflXjvbt6hdxQ7c4ujEuivpr7WRyOX+wTvn97lCoXHpZ0x2+4Z257VesS4BVMN1Hnuf6z9b2tkcP6f7lztE/Qp7+OrpgGOmyqUvl5vfWFepy+G/Xn9YoNeTTdebJopPPRvyn935DOV8wi+OA/7h4dr/6GB1hTqG0Y+qknxKcooGApxXBmb5mt092htNv9raKeIDs3pWDi3eler+2DHCoO5SVEa/GS8UjLyP5baX9wzNmruyEGalmwMH7S/cXdvrxaFO5Wr7VH15GxTnLFEiFFuNVrxcx/StY1LM2NqQ13bo5daGsXcRI15cKqWpWT8MRQwJ0ObY8fobvOeYbugUN3UovBfrF1tjyqn3t90a49mZjE34Z8aG7ux0HuXwf7+lRKvSQ9GaYP5pDZW1wc6F3qtcLVP8P6JM7naJ+hT3qeuWnTtpa5m8EzTc/3Hae6mQq8zhrwspSXO0+j+cxzvkUEP6L6bC/2Rjc9UTqths7PKQAl+VUb8IIVNtv4ifg4+YbF6Z34E69pVWwe0btBdGpN8VAqNVWpchP2jZPHyMuLVs8sU7bDqJfKJ0OzkGQo/Y9kIV9ujKnH+Naaw+o+t1kejgv8YWpq3W8u699A08y/i52IPOHNf0XMRzYp+IHS1PaqcvEOJeiR0lBVsz6WECdRc7hO8f1Yrp9I09zpjgivjiu8bWhJxhXWgMFf7BH3K+5zUocQJun1kouOPaOdi3AK0dsZZo6H4TOUc/lOAE+oqsNc/FR1aUoRx8Amdptdm3cULLJxSM7CH/j35dvvHzXMwX+CnFPsC62p7VCF53+rDtZ9bFRfUDFTPmf9U53N2isbqPDlOM4sLra62R5VTs8ldmrkuVn3MK2QlOces4S73Cd4/cSZX+wR9yvvUUZOIKXrNqc80Z4deA5+pnMMVX5SCMSxssz5MXqpp5myrDj6hIzQlvKPadwt2cX1NeD7nr/g6GENoUrVpywYtmbzCMYTH4BOqR2J66uabOiv4nMNdXW2PKuF4iqJvfECrzvun7qLOuuKbLydDKcn/0abFsx2TZJns4eSxkbqrY0fdEdz43KHV1faoeop9Ttuqz+T7dUPbmyqhT/D+WS04dcU3n6t9gj7lfUr4TNOqn6If7qqbQkMUmD8HQbH4THU+BF8AAAAAgFfjb0EAAAAAAK9G8AUAAAAAeDWCLwAAAADAqxF8AQAAAABejeALAAAAAPBqBF8AAAAAgFcj+AIAAAAAvBrBFwAAAADg1Qi+AAAAAACvRvAFAAAAAHg1gi8AAAAAwKsRfAEAAAAAXo3gCwAAAADwagRfAAAAAIBXI/gCAAAAALwawRcAAAAA4NUIvgAAAAAAr0bwBQAAAAB4NYIvAAAAAMCrEXwBAAAAAF6N4AsAAAAA8GoEXwAAAACAVyP4AgAAAAC8GsEXAAAAAODVCL4AAAAAAK9G8AUAAAAAeLUaNjurDAAASulUWqxu7PGMjln10rtTsz+ao26HnrW+jqMe3ri2ddzbHFHKxJ4alHClojfG6f7AutZ+AAAqDld8AQBA5Tn+X21akykFheqmFoReAEDlIPgCAIBKkqfjae9pXa7k08ZPl/EpBABQSRjqDABABfljGLS3D192Vo7SYnur97yf1Sd+taZ1amTtBwCgYvG3VgAAUDnyDmpHyreSTyfdGtzQ2gkAQMUj+AIAgEqRt3erEtNz5dPjFgXX4yMIAKDy8K4DAEAVYAyLvtbPXwF+I7Qu65S11y4rUQ+Z++/Q3LQce3rMUlpirB5qbexzbG0HxWpdWpbyrCbKyVBK/ER1s44H+F2lbhPjlZJx3DqheHlZaXpzTdGvHdB6sOaueUdpWSets8rqV+3dkqwd8lGLgMvla+11VrE/m197PRT7italZMj+yAAAUCKCLwAAHuJU5gZN7nareo98RptzrZ12ucnPaEyPhzU15YCO707QQ9d31aDJK7TbOm4/Q7sTpmhQlwfs4bm4hZdOKitluu68sadGji76te1fXM+NHqreN96t6MTdLgTMHB3c853933aK6NC8FB9A8pRj/52GdC7mZ1OWNs97XGMiu+qmQQnanVMQ/QEAKILgCwCAR9ilRSPHKEHdFR2/QV/s36c9+/fqi42x6tPKx358uxJmRGvsyH/po5tGaPaarfraPGe3Ul+boM7GKUrTc1MSlVEkH9qDZdpiPRgZZw/KPmrZf5LiNqbb2xlt9+nrj1Zr9mOh9iPbtWpkpMYnZv5xZbk0yrqMUc42xdl/JyPw+oSO1pJCP9ueb7bq1Wn91NJ+Wm7yv/T46xll+9kAAF6P4AsAgKfwidDsF57U/Z0CraHCNeUbeJfGTehlD6Z2u1K0WUMUP/cxhQc3tt7k66jxdQM1+akIxznpadr5Y6Gh1EawjFrkCL2PxeuVmEh1CqxnHbR/h8bBCh81X+/MNdpnacMTL+iD46WNl38sY1S/U1v5l+LTx6mvU5Wwy7jM20FjJgxW50I/m/2HU/CAkRrXv5m9kqsda7dqL8kXAFAMgi8AAB7Cp0e4bmlSx6rls4ffpv5qYZZ91Oaerrra98y39zq6tFkz+/8b9mjfoV/NkhlIP3tTLxrB0qeXxj14TQn33tZRk7uGaEyQPTrnpmhTWra131m52vP5p/b/b6awds1UtkWdvtOeg8UNtG6kTjHvO64Ar4tUIJ9sAADF4O0BAACP0EA3XhugQtc7C9S8qL4uMUuN9De/i0vx5p4fSI1QfZ6ZlmterOZtjHV3M5X0eaYKXTM+PxeWMaod0E5h5qXqTK2KfFDR8WuYzAoAUGoEXwAAPMJFuqz++e6N/bMurleK+2d1TN99mWWWchMeUHDBbMnFbddpUEKmee6xLzN1xCw5x6VljOrdpOELBpn38Rr3Ma+aPMaczOpq+89kzGa9NrE8ZpwGAHg7gi8AAB6htKG2qnBtGSPzHuVO/9QrG5dpljnJ1h+M2azHjTRmnG5pD8HPavN5lmsCAFRfBF8AAKD6j63WV/mzJZ9vi4tQY6vd+ZV1GaPCjEm8blb3Uc/r/7d3/6Bx1nEcxz9mEClai9PhUEQbpUZEAx2KIrFWUbFctTgZxf+TbYKiW2w0DlVIPbXYDhVS0KXWmlqKKBG6KJ2CrTqEuriULEKHkMEh9v7kTEgjXJPtd6/X9HDc8Iz3vt/zfL8XGlOqTx7OeG1kcZp1y/zUwbxe3Z9Tl5z+AnA14QsAXeuG3Fy5qXl1rY8vd2yta4z+1/Wp9D+e6u6XM/b9H/nz9x9zdLS10ijzkxn5/Jc49wVgJeELAF3rlvTvHGg9Pjx1Ij9cbE97XsXCTI5V+7Lltr48PTHT4b7cta8xapnL9MdPtt4xrk6s2D+86MbeDLzYXmlUb9/Zy81hXQCwnPAFgK7Vk439D6faLN+fM/7hiczMrVaX/+TSd0cyfr6RlNfyyPJ61xhtyJb7t7XC/PzpnPn1cvPTqyz8nb9+a51Xb+rbnMbsaQBYTvgCQDdbNjV5fmokzw5/klPTs0snunMXc3bi/bw2PFkP2A25a2goe3o7fGR5HWuMWuph/tArGXui8UbxdA4Nvp3a5HRm/7u5hfrtnc2xd9/JWDPKH8jep+5e455gAEomfAGgqzWmJu9NrfbCYvx+mree2Z4722uM7nksr45+lZlUsuPNo/liaFvHk5nXtcaorWdzdu3/IIONQVbzUzk0vCcP3t5esXRH7nv0pYx9eaH+xXszOPFRnu80ygHoKsIXALrexvTufi+nz32T2sF92bE0LLmuHrxDB1I7+W2O7NueSse/HNa7xmhJT+WRjJ75Kcc/O5A3dq6YJ731uYzUDuf4ua8zOnCrHzYArOq6f+sWrwEAAKA4/hgFAACgaMIXAACAoglfAAAAiiZ8AQAAKJrwBQAAoGjCFwAAgKIJXwAAAIomfAEAACia8AUAAKBowhcAAICiCV8AAACKJnwBAAAomvAFAACgaMIXAACAoglfAAAAiiZ8AQAAKJrwBQAAoGjCFwAAgKIJXwAAAIomfAEAACia8AUAAKBowhcAAICiCV8AAACKJnwBAAAomvAFAACgaMIXAACAoglfAAAACpZcAYS5DoKG62q/AAAAAElFTkSuQmCC" width="507" height="331"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest an experiment that shows that magnesium is more reactive than zinc, giving the observation that would confirm this.</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>Calculate the standard potential, in V, of a cell formed by magnesium and steel half-cells. Use section 24 of the data booklet and assume steel has the standard electrode potential of iron.</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>Calculate the free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ, of the cell reaction. Use sections 1 and 2 of the data booklet.</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>This cell causes the electrolytic reduction of water on the steel. State the half-equation for this reduction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Use the graph to deduce the dependence of the reaction rate on the amount of Mg.</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>The reaction is first order with respect to HCl. Calculate the time taken, in seconds (s), for half of the Mg to dissolve when [HCl] = 0.5 mol dm<sup>–3</sup>.</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>Carbonates also react with HCl and the rate can be determined by graphing the mass loss. Suggest why this method is less suitable for the reaction of Mg with HCl.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c(iii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em><strong>Alternative 1</strong></em></p>
<p>put Mg in Zn<sup>2+</sup>(aq) ✔</p>
<p>Zn/«black» layer forms «on surface of Mg» ✔</p>
<p><em><br>Award <strong>[1 max]</strong> for “no reaction when Zn placed in Mg<sup>2+</sup>(aq)”.</em></p>
<p> </p>
<p><em><strong>Alternative 2</strong></em></p>
<p>place both metals in acid ✔</p>
<p>bubbles evolve more rapidly from Mg<br><em><strong>OR</strong></em><br>Mg dissolves faster ✔</p>
<p> </p>
<p><em><strong>Alternative 3</strong></em></p>
<p>construct a cell with Mg and Zn electrodes ✔</p>
<p><em><br>Accept “electrons flow from Mg to Zn”. </em></p>
<p><em>Accept Mg is negative electrode/anode </em><br><em><strong>OR</strong> </em><br><em>Zn is positive electrode/cathode</em></p>
<p><br>bulb lights up<br><em><strong>OR</strong></em><br>shows (+) voltage<br><em><strong>OR</strong></em><br>size/mass of Mg(s) decreases <<over time>><br><em><strong>OR</strong></em><br>size/mass of Zn increases <<over time>></p>
<p><em><br>Accept other correct methods.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Cell potential: «(–0.45 V – (–2.37 V)» = «+»1.92 «V» ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em>º = -nFEº»<br>n = 2<br><em><strong>OR</strong></em><br>Δ<em>G</em>º = «-»2×96500×1.92 / «-»370,560 «J» ✔</p>
<p>-371 «kJ» ✔</p>
<p> </p>
<p><em>For n = 1, award [1] for –185 «kJ».</em></p>
<p><em>Award <strong>[1 max]</strong> for (+)371 «kJ»</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>2 H<sub>2</sub>O + 2 e<sup>-</sup> → H<sub>2</sub> + 2 OH<sup>-</sup> ✔</p>
<p><em><br>Accept equation with equilibrium arrows.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>independent / not dependent ✔</p>
<p> </p>
<p><em>Accept “zero order in Mg”.</em></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«2×170 s» = 340 «s» ✔</p>
<p> </p>
<p><em>Accept 320 – 360 «s».</em></p>
<p><em>Accept 400 – 450 «s» based on no more gas being produced after 400 to 450s.</em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«relative/percentage» decrease in mass is «too» small/«much» less ✔</p>
<p><em><br>Accept “«relative/percentage» uncertainty in mass loss «too» great”. <strong>OR</strong> “density/molar mass of H<sub>2</sub> is «much» less than CO<sub>2</sub>”.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; some experiments would not have worked such as adding magnesium to zinc salt without reference to aqueous environment, adding Zn to magnesium ions, or Mg combustion reaction being more exothermic. In the last one, an inference wad made instead of identifying an observation or measuring temperature using a thermometer or a temperature probe.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance; instead of <em>E</em>° = 1.92 V, answer such as −1.92 V + or −2.82 V showed a lack of understanding of how to calculate <em>E</em>° cell.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Satisfactory performance; two major challenges in applying the equation Δ<em>G</em>° = −n<em>FE</em>° from the data booklet included:</p>
<p>Using n = 1, not 2, the number of electrons transferred in the redox reaction.</p>
<p>ΔG° unit from the equation is in J; some did not convert J to kJ as asked for.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance; some candidates had difficulty writing the reduction half-equation for water, the typical error included O<sub>2</sub>(g) gas in the reactant or product, rather than H<sub>2</sub>(g) in the product or including an equation with Fe(s) and H<sub>2</sub>O(l) as reactants.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates found this to be a tough question (see comments for parts (ii) and (iii)).</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Mediocre performance in calculating time from the graph for the data provided. Some wrote the rate expression, which only contains [HCl] and not mass or amount in mol Mg (as a solid, [Mg] is constant). This presented a challenge in arriving at a reasonable answer.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Poorly done; many candidates did not grasp the question and answer it appropriately. Candidates generally did not realize that decrease in mass (due to H<sub>2</sub>(g) as a product for the reaction of Mg with HCl) is «too» small/«much» less compared to that of CO<sub>2</sub>(g) from the reaction of carbonates with HCl.</p>
<div class="question_part_label">c(iii).</div>
</div>
<br><hr><br><div class="specification">
<p>The rate of the acid-catalysed iodination of propanone can be followed by measuring how the concentration of iodine changes with time.</p>
<p style="text-align: center;">I<sub>2</sub>(aq) + CH<sub>3</sub>COCH<sub>3</sub>(aq) → CH<sub>3</sub>COCH<sub>2</sub>I(aq) + H<sup>+</sup>(aq) + I<sup>−</sup>(aq)</p>
<p style="text-align: left;">The general form of the rate equation is:</p>
<p style="text-align: center;">Rate = [H<sub>3</sub>CCOCH<sub>3</sub>(aq)]<sup>m</sup> × [I<sub>2</sub>(aq)]<sup>n</sup> × [H<sup>+</sup>(aq)]<sup>p</sup></p>
<p style="text-align: left;">The reaction is first order with respect to propanone.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how the change of iodine concentration could be followed.</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>A student produced these results with <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="[{{\text{H}}^ + }] = 0.15{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}">
<mo stretchy="false">[</mo>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mo stretchy="false">]</mo>
<mo>=</mo>
<mn>0.15</mn>
<mrow>
<mtext> mol</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math></span>. Propanone and acid were in excess and iodine was the limiting reagent. Determine the relative rate of reaction when <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="[{{\text{H}}^ + }] = 0.15{\text{ mol}}\,{\text{d}}{{\text{m}}^{ - 3}}">
<mo stretchy="false">[</mo>
<mrow>
<msup>
<mrow>
<mtext>H</mtext>
</mrow>
<mo>+</mo>
</msup>
</mrow>
<mo stretchy="false">]</mo>
<mo>=</mo>
<mn>0.15</mn>
<mrow>
<mtext> mol</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math></span>.</p>
<p><img src="images/Schermafbeelding_2017-09-19_om_17.58.35.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/01.a.ii"></p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </p>
<p> </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>The student then carried out the experiment at other acid concentrations with all other conditions remaining unchanged.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Determine the relationship between the rate of reaction and the concentration of acid and the order of reaction with respect to hydrogen ions.</p>
<p><img 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"></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>When the concentration of iodine is varied, while keeping the concentrations of acid and propanone constant, the following graphs are obtained.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAuEAAAFlCAYAAABFiTbBAAAgAElEQVR4AezdCVhUVRsH8D+I5TKZYC4QmLmiZuiHVKYWirmvKGqpKIqfmOKWymfuW6UoGu65466h4o6JK+6QS1qCSeYCrqCCoDJwvudeGRxgcEYYYJj53+fhYbhz77nn/O5V3jmc8x4zIYQANwpQgAIUoAAFKEABClAg3wTM8+1KvBAFKEABClCAAhSgAAUoIAswCOeDQAEKUIACFKAABShAgXwWYBCez+C8HAUoQAEKUIACFKAABRiE8xmgAAUoQAEKUIACFKBAPgswCM9ncF6OAhSgAAUoQAEKUIACDML5DFCAAhSgAAUoQAEKUCCfBRiE5zM4L0cBClCAAhSgAAUoQAEjD8IfIXxWW9j4HMQT3msKUIACFKAABShAAQoYiIARB+FPcGX1j/h+2+8GQs1qUIACFKAABShAAQpQ4KWAUQbhqTFnsNrne+yq2R7dFLzVFKAABShAAQpQgAIUMCwB4wvCU69gVZ8piGgxBiPqlzEsbdaGAhSgAAUoQAEKUIACACx0UxBQJtxB1LVoxCs1nVEKHzhUxXsWZprezN995rZotWojrK0VQOqV/L02r0YBClCAAhSgAAUoQAEdBHQIwlOQcHktvDsNxqqrCdkUOQCB0fPhaq1DcdmUoL/dClhb6680lkQBClCAAhSgAAUoQAF9C2iPml/8gRX/HY5VMR/DfWoftK5VBkUz18K8HOpZFsm8t1D+bGamvTdfCFEo28ZKU4ACFKAABShAAQoYhoD2IPxhFMJPxMF62ATMGdsCVtpjVMNoWQ5roS3A1iVIz+GleRoFKEABClCAAhSggIkIaJ+YWbI0KlgDFu+UwNtGHoCbyD1nMylAAQpQgAIUoAAFClhAexBe6hO4T+iGuC1B+O3GU3AgRgHfMV6eAhSgAAUoQAEKUKDQC2gfjpISjUvh91D+yiZ0+mA9HNs0Qe0ymU4zrwdPP280NpJx4YX+rrIBFKAABShAAQpQgAIGLZApmtZU1yTcDT+La/JbMQjfvR7hmQ9TvAu3mZl38mcKUIACFKAABShAAQpQQJOAmdA2E1HTWSa8T5qYSTITfgDYdApQgAIUoAAFKKAHAe1jwvVwERZBAQpQgAIUoAAFKEABCrwS0GE4ysuDRUIUQnfvw4GT4bgep4S5ZSXU/fhTOLdzgUPZt1+VyFcUoAAFKEABClCAAhSgwGsFdArCxf3DmNzNHZMP3cxaWLUBCNg1C72qK7K+xz0UoAAFKEABClCAAhSgQBYB7cNRxD0cmj0Wkw/ZwWt5KKJik5AqUpEcH41Le35A+wdL8O3ozYhMZvLCLLrcQQEKUIACFKAABShAAQ0C2idmPjkIH3sXLO2wE1cWtkW5DAv2JOCCf3fUHVoCyyMC0Ld6MQ2XMK5dnJhpXPeTraEABShAAQpQgAIFIaC9J/zpI9yJAayqWGtYsr4YytnaAriP2HhlQdSf16QABShAAQpQgAIUoEChE9AehFtVRB0HBa7tOYHLzzINORF3EX7gFKCwR2Ub4+8FL3R3lxWmAAUoQAEKUIACFDBIAe0TM9+uhU7fueEH9+/h1ucxxvf5EjXLFofy8b84t2MJRi+6Bnuf2XCuoL0ogxTIQaWSkpJQvHjxHJzJUyhAAQpQgAIUoAAFKADoEDmXQJWvp2L73RfwHDUe7pvU2ezgPGwZFoxz1jBURf0443h9/PhxuSEDBgzAkiVLGIgbx21lKyhAAQpQgAIUoEC+C2ifmJleJSUSbkbi8tV/cPvRc5iXLIcPK9dAjaplUSzDZM30E4zuRf/+/bFs2TK5XX369MHs2bNhZWVldO1kgyhAAQpQgAIUoAAF8lZAYxCeErkJw6YfxgeeUzDy8zhsGvYj9jxJzb4m5vXg6eeNxpZFsj/GCN6RhqGUKFECw4cPx7lz53D48GEsXboUPXr0YK+4EdxfNoECFKAABShAAQrkl4Dm4ShJd3E84DCS3ZIBJOHu8V8RcC4h+zop3oXbzOzfNpZ3VOPA/fz85CZJw1PGjRsH6ecJEyagQ4cODMaN5WazHRSgAAUoQAEKUCAPBTT2hOfh9Qp90ZryhG/dulUOwlNTUxmMF/o7zAZQgAIUoAAFKECBvBfQHoSL+7iw9zj+eccBLRt/iIyJCAWe/XMMgfvvwr6rKxyNfDiKdDs0BeHSfmmoyt69e7UG47du3UKZMmXYY573zzavQAEKUIACFKAABQxWQHue8JQb+G1IJ3Radg5xWZqhxP0zq9DTayEORSVledeUdkhDVVxdXXH27FlMmzZN/nJ0dMTGjRvlAF2ykAJw6ZghQ4ak7zMlI7aVAhSgAAUoQAEKUOClgOaecHEbu75tiXaLL+nmpOiJgAvL0Kvy27odX4iPyq4nPHOTNPWMr1u3Drt27ZIPnTdvHgYPHpz5NP5MAQpQgAIUoAAFKGACApqDcAgkRwVhwtRtiFY+xOXtuxFe3hluDSsiyxI1xd9H/Xbu8GhtD4UJpCrUNQhXPTvqwfjz588hhEDjxo2xcOFCDklRIfE7BShAAQpQgAIUMDGBbIJwNYWUC/B3aoSxn2xA1OK2KKv2lim+fNMgXGWkCsbHjh0rB+KTJk1iNhUVDr9TgAIUoAAFKEABExPQHoTLIALKhNuIjLiLzCO/ReJdRJyPQ5We3fGZCU/M1PW5UQXjUmpDc3NzTJkyBa1atWKvuK6API4CFKAABShAAQoYgYAOQXgK4k7NQ5+e47HjWja5whXe2Bk1B23LGvdiPdL9zmlPeOZnRQrGg4KC5CCcwXhmHf5MAQpQgAIUoAAFjFtAexCeegUrWjVFvxMfwn1YUxQPXY0lYVUxYHQD4NAWLDn0Pnz2BWBaCztoXvnHuAD1FYSrVBiMqyT4nQIUoAAFKEABCpiOgPYg/P4ueFVuh809d+LKwq/wdG0/VHZ/geURAfCwuYz5Pbph3vtzcGRBO1gb4cRMKejOvEmTK/W9MRjXtyjLowAFKEABClCAAoYroD1PuPIFkhIAqyrWsDJ7C+UqVYUdohBxKwFmio/QtstnuLpoEw5cf264rcxFzaSAW/0rF0W99lQpz3j37t0RHh4Oaby49OXk5ARpNU4pQOdGAQpQgAIUoAAFKGA8AtqD8FJl8YEdEHstBrHCDMXLV0RN3EPE7UcQMIfFW28BuI27scnGo1KALWEwXoD4vDQFKEABClCAAhTIJwHtQXjJWviqTyPErf0RPvOP4+H7NfHFR3EI2bQZu04ewLZtoYCiMuzKSsE4N30JZBeMHz9+XF+XYDkUoAAFKEABClCAAgUkoH1MOABxPxR+3oMxMm4IIvb2wDuHfNGj43gckpOl2KHJ9PUIHNMIllmHTxdQs/LusvqemKlrTdXHjJcvXx7Tpk1Dw4YNdT2dx1GAAhSgAAUoQAEKGJCATkG4XF/lE9yKUaKCnRUskIxHUb/j9MU7gHVdNPzkA5NYLVNyKKggXPXMSMH44sWLMWLECDg7OzMYV8HwOwUoQAEKUIACFChEAtqD8NSrWNf/B1xpOhTffVMXpU2gt/t196+gg3BV3WJjY7F69eo3DsalIP7hw4ewtbVVFcXvFKAABShAAQpQgAL5LKB9TPjdP7B/xSqsvf4MxU08AM/ne/Pay1lZWWH48OFyQN2+fXs0atQITZo0wevGjEsB+JAhQ+Dq6opbt269tny+SQEKUIACFKAABSiQdwLag/D36qC1Rz08OHMW5+4/g/4zZOdd40yh5DcJxvfu3Ytly5bh7NmzGDx4sCnwsI0UoAAFKEABClDAIAV0GI5yAyFTR2PgpE24Cms4tmmC2mUyrY1pXg+eft5obMll6wv6LmsbpjJ//nwEBATI+cc5JKWg7xavTwEKUIACFKCAqQpoD8JTLsDfqRGGnpNToWh2UnhjZ9QctC3LIFwzUP7vfV0wLr0n9aBzowAFKEABClCAAhQoGAHtQXjB1Mtgr2ooEzN1BVIPxl1cXDB58mSmNtQVj8dRgAIUoAAFKECBPBLQPiZc3MeFPdux/dg/eJalEgLP/jmKdUu2IDwuJcu73FHwAupjxps3by5P4GzWrNlrJ3AWfK1ZAwpQgAIUoAAFKGDcAtqD8JQb+G1IJ3Radg5xWSyUuH9mFXp6LcShqKQs73KH4QhIwfjo0aPlbCoMxg3nvrAmFKAABShAAQqYpoDmIFzcxq6BdeSFacyK1seoawACOsPGzOzlvvTvb6Fi95WAwhblLYuapmAhazWD8UJ2w1hdClCAAhSgAAWMUiCbMeECyVFBmDB1G6KVD3F5+26El3eGW8OKKJ6Zofj7qN/OHR6t7U1i1czCNiY88+3K/LM0ZlxKW+jj4wOOGc+sw58pQAEKUIACFKBA3ghkE4SrXSwtO8rYTzYganFblFV7yxRfGlsQrrqHDMZVEvxOAQpQgAIUoAAF8l5AexAu10FAmXAHUdeiEa/UVKlS+MChKt6zMP4lNY01CFfdVfVg3NPTE6NGjUL16tVVb/M7BShAAQpQgAIUoIAeBHQIwlOQcHktvDsNxqqr2eUKH4DA6Plwtc60iI8eKmhoRRh7EK7yZjCukuB3ClCAAhSgAAUooH8B7UH4i/Pwb9IUQy/WhLtPH7SuVQZZpmCal0O9lg3xYTH2hOv/FhVsiZGRkZBW2Zw3bx7YM16w94JXpwAFKEABClDAeAS0B+ExW9HbpjN+G7YPl/xawMr44+zX3l1T6QnPjMBgPLMIf6YABShAAQpQgAI5F9CcolC9vJKlUcEasHinBN428QBcncXUXkvjwv39/REREYHixYujRo0a6N+/P6TgnBsFKEABClCAAhSgwJsJaA/CS30C9wndELclCL/deArxZuXzaCMTYDBuZDeUzaEABShAAQpQoEAEtA9HSYnEJi8vjF12CNdgDcc2TVC7TKYJmOb14OnnjcaWRQqkEfl5UVMdjpKdMYepZCfD/RSgAAUoQAEKUCB7AR2C8Avwd2qEoeeyy4wCQOGNnVFz0LYsg/DsqY37HfVg3MvLC8OHD2dqQ+O+5WwdBShAAQpQgAK5ENA+HKWIA4b8Hg8hRPZf8f55EIC/QEz4Gvg0sYHU+2xmZoMmPksRFB6DVC0NTo05g9U+LdTOW4PwmBdazuLbuRFQH6aiVCrlMeNDhgzhmPHcoPJcClCAAhSgAAWMVkB7EJ7WdPHsNsJ3r8Isn4Ho7TEXx+Ke4uruAGy9cA8a1+/JJVnq7V0Y124t0Gc7olMEREo4ZlQIxcB283D4yWvC8IQz8PvmWxz99BekyB8crmPtp6fR7psFCE94zXm5rC9PfykgBeNLly6VJ3AmJSUxGOeDQQEKUIACFKAABTQI6BSEi7iTmN2tGeq39cComYsRsOoK7j97hKjf/NC5UR9MDbml50D8Gf4O3ogVdbqhX69PYC3V0twanwwdg2l1jiA4LFZDU6RdqXhyZjv8IpqjRzM7vGzcW3i/mSt6RazD5jPZnZdNcdydY4HXBeO3bt1Cx44dIX3nRgEKUIACFKAABUxRQHsQLu7h0IyRGHWwNnyPXsaRmc5pTuXh4vMTfGqewpRhaxCWqM+8KQm4FREF67qVUEG9hubvoVLd51gTfBFP3vhuReP89Qdah7K8cbE84bUCmoLx+vXrIygoCK6urpBW5uRGAQpQgAIUoAAFTE1APcTV3Pb4SwgOOAHLnn3g3qgiSqrlCrewdkZfr2bApdM4fz1J8/k52Zv6ANfPR2d7Zsz567ijcWSJOUp90hEjauzHugM30wLuF4gJO4YzNUbhh67V03rHsy2ab+SRgCoYv3jxIkqXLi1fJTExEbdv386jK7JYClCAAhSgAAUoYLgC2oPwp49wJwawqmKtYbVMC7xT2grAYyQkaYyKc9byhGhE/BGTs3MVn2DEkm9xq3MlFJEndL4NG5fL6LVkIBwV2pubs4vyLF0F6tSpg3PnzmH8+PH45JNP8PHHH4MTOHXV43EUoAAFKEABChiLgPao9F1rVP9Igbu//43ozCNOxANcPHYGUNijsk0xAzBJRUL4HLg4H0e3vx6nZXNJQfxfbXCk9SCsuKJ9EMvLTCxSNhbNXwbQyEJfBWnFzSlTpmDFihUZJnDOnDmTw1MK/d1lAyhAAQpQgAIU0EVAexBeog46DmoDbJiBib8cw/XHUqq/p4j79zyC530P77lXUa1XazSokGkBH12unt0xChvUqGOd3buv2R+LM5vXIaJXD3SxL5V2nDkU9m3Qu/MFjFsZpnUs+WtTMYrMn0JeUxW+pZOAaphKREQEwsLCUKZMGTAY14mOB1GAAhSgAAUoUIgFtAfhUKC25yxsn1ABv3q1RpdpJwCshWcDJ7QcugXoNh2rJ7eCtdpY8Vx7yBMwbbItJsuETdWRTy4ieE246ie17wrY1qiMmDUHEPa69IZqZ/Bl/gpIwfjmzZsRGhqK/fv3MxjPX35ejQIUoAAFKECBfBbQIQgHYGELl0m/IvLCIQQu94evry98F63FjqPhOLPWGw3K6rEXXAZIC5ozT8CUJ2w+Qp0aNlBogir1MVr0ctTwTlq2lV7NUL+Ubk3WUAh35YNAw4YNceDAAQbj+WDNS1CAAhSgAAUoUHACbxCRmqNoKXs09/DGyJEjMbJPI9iYKZGkzIshGsVQtUV39P1jDqavuoQEySc1Bmd+/hHj/ugKny7ZZTmxwice3vjqfDB+PRj58jykIuHKbqxeUwEjuv4HqkEqBUfOK+siwGBcFyUeQwEKUIACFKBAYRXQKQgXCRex5tuv8OHn/jgT/zILSkrUXgxrXBvVW/+AkJjnem+/+fvN4LN2OCqsaY53pEmSRWzQ8XwdzN/pDWdVb3bqFaxoYQMzm+9xUB5mIo3/7oUF81oAwd4vzzMrguo/xqLn4fUY6fgyNZ7eK8sC80yAwXie0bJgClCAAhSgAAUKUMBMSDMRX7eJezg4phNcZjxFt+k/4ocRLVG5mBlEQhRCt/6CiYNm4KzLcoRv8UD1ovocGP66ShXce1LWFG1kBVc747/y8ePHMXHiRISEhGDGjBnw9PSElZWUJpMbBShAAQpQgAIUKDwC2nvCVYv1eEyA35hWcgAuNc9MURmN3cdhzvQ2SAjah9B/9N8bXngYWdP8EtDUMz5nzhymNsyvG8DrUIACFKAABSigFwHtQbhqsZ5aH6Bclo7uYihnawvgPmLjlXqpEAuhgC4C6sH4jh075GwqDMZ1keMxFKAABShAAQoYgoD2INyqIuo4KHBtfxgikzONXDG4xXoMgZR1yE8BKRg/dOiQnE2FwXh+yvNaFKAABShAAQrkRkD7mHAkInJFfzj2O4SafYZhRM/GqFb6LYjE2wjftQK+M0NQ1Gc7jv/oomFZ+9xUzTDP5Zhww7wvqlpJY8bHjRuHw4cPw8/PD7179+aYcRUOv1OAAhSgAAUoYDACOgThAJS3cXSuDzxHrcPVDFW3g/MwXyyY2gW1FEUyvGOsPzAILxx3lsF44bhPrCUFKEABClDAVAV0C8JlnVQ8i4nEhb+u4faj5zAvWQ4fVq6BGlXLoliWseLGy8kgvHDdWwbjhet+sbYUoAAFKEABUxHQMQgXUCbcQdS1aGief1kKHzhUxXsWxh+NMwgvnP80MgfjXl5eKF68eOFsDGtNAQpQgAIUoEChF9AhCE9BwuW18O40GKuuymtXamj0AARGz4ertb6Xr9dwqQLexSC8gG9ALi+vCsbv3r2LCRMmoEOHDgzGc2nK0ylAAQpQgAIUeHMB7UH4i/Pwb9IUQy/WhLtPH7SuVQZFM1/HvBzqtWyID01gXAqD8Mw3v/D9PH/+fERFRWH//v1ITU1lMF74biFrTAEKUIACFCj0AtqD8Jit6G3TGb8N24dLfi1MIgPK6+4qg/DX6Rj+e1IA7u3tLVd06dKlcuYUqUecwbjh3zvWkAIUoAAFKGBMAtrzhJcsjQrWgMU7JfC28Q/5NqZ7y7ZoEKhXr1763po1a8LV1RVnz57FtGnT5C9HR0ds3LgRSUlJ6cfxBQUoQAEKUIACFNC3gPaecCTg8mJPfPazLdYET0aHiiVhyrE4e8L1/Qjmf3nSuHBpkxb6Ud+kwHvv3r3y8JRC3zOuTEBMVBTumVmbXAYj9XvK1xSgAAUoQAFDFdAehKdEYpOXF8YuO4RrsIZjmyaoXSbTBEzzevD080ZjS+PPFc4g3FAfZf3Vq3AH4ylI+HMrpo2egBm7rwBQoEr7kZjlOwwdqr9r0h+g9feEsCQKUIACFKBA7gV0CMIvwN+pEYaeyy4zivR73hs7o+agbVkG4bm/JSzBUAQKXzD+KpPRr+/3x9z/ucGh+C3sXzgdYy+0xL4j09CiXKYP0IaCzXpQgAIUoAAFTExAexBuYiDamsuecG1Cxvd+5mBcGj/eqlUrg0ttKJ6cxuwubhh13RWBB36Ca8Vi8s0Q/6xBp8pjgYCD2NarKnvDje8RZYsoQAEKUKAQCugchIuEKITu3ocDJ8NxPU4Jc8tKqPvxp3Bu5wKHsm8XwqbnrMoMwnPmZgxnScF4UFAQpkyZAnNzc/m74QTjiYhc0R+O/SLQa+c2LGhr9yrYfn4K0+0bYOWgMFwZ6Qj2hRvD08g2UIACFKBAYRfQKQgX9w9jcjd3TD50M2t7qw1AwK5Z6FVdkfU9I9zDINwIb+obNskQg3ERG4IxDTtiQY2fEb7FA9WLvpo+nRq5Aq1qjAOWH8TevvbQnhLpDUF4OAUoQAEKUIACbyyg/fexuIdDs8di8iE7eC0PRVRsElJFKpLjo3Fpzw9o/2AJvh29GZHJ4o0vXlhPuHXrVmGtOuutBwFpufvu3bsjPDwc48aNk7+cnJywdevWAkpt+AI3f1uPBVc+xqAhbVFNLQAHnuLKwd3Yj/+gjaMtA3A93H8WQQEKUIACFNCHgPYgPP4SggNOwNJrDCZ7NMSHlsVgBjNYKKxRu5U3pkxqg4SgfQj957k+6mPQZUgLvUhby5YtwUDcoG9VvlTOYIJxcRsng44g4aO26PhZ2VfDUACI2FMI+Hk/8FU7NKtV8jUuAsqEGEReuIirD57BdD5Sv4aEb1GAAhSgAAXyUEB7EP70Ee7EAFZVrDWsllkM5WxtAdxHbLwyD6tpWEVfvnwZw4cPR2xsrGFVjLUpEIECD8Zf3MXfJ6/BrlMj1CnxahgKkIir21dgwRVbeHi1Qs0MPeRqVOIx/tw8Dh3rVkeNug6oXrYeOk7cjsiEFLWD+JICFKAABShAAX0KaA/CrSqijoMC1/acwOVnmfrHxF2EHzgFKOxR2eZlJgZ9Vs7Qyho8eLBcpQ0bNkAaG16mTBmurmhoN6kA6/O6YDxPq6VMxvMU4K1SJfBqirSA8sY+zPlpB9B+OL5rrTZRU70y4jEurxyFjt3W4GlbP+w7eQpHfnVH8Q190WHCb7iX6Z+8+ql8TQEKUIACFKBAzgV0mJiZiGtrBsPJfQve6+aD8X2+RM2yxaF8/C/O7ViC0T+fhK3Pdhz/0UVDT3nOK2aoZ6pPzNy/fz+GDRsmZ8pYsmRJlhUYDbUNrFf+CKhP4Cxfvjyk1IaZV+nUS03EDWzt1wKdr3jg5L7v8FkpcyjjziFghCf6/VoV/qG/YLBD6QzDVF5eNwVPwuahS5PxuN5zNQ7M64SKFlJP+nP8s6YfKrsDAVHL0evDV6G9XurLQihAAQpQgAIUAIQuW/ItccS3h6gGeaio1DeW9mUnnIdtFJfjlbqUUiiPedVWVZszkiUmJgo/Pz/Zw9PTU0RERBTKdrLSeScgPSNLly6Vn5F69eqJdu3aCWmf/rZU8eLaRuFRTSEUjm1ET/fOwrmKQkDRSkw4cFMkZ3ehF5fF8g6VBKoNFzujX6gdlSqenZwuKsFZ+IbFv9qfHC+iIy6I85H3RFLqq918RQEKUIACFKDAmwvo0BOu+qiiRMLNSFy++g9uP3oO85Ll8GHlGqhRtSyKqQ9DVR1upN/Ve8LVmyhN1Jw+fToWL14MPz8/eHl5aVzMReodlYYtcDM9gb1796J169Zyw62trbFlyxY99owLKO9fwK6Nm7EvLAb44HN06u4Kl1plsskLnoLYg5PQ0GUtaizfjS19a6Fo+i15hsgV7qjRD1geEYC+1Ysi4c+tmDZ6AmbsviItkYsq7Udilu8wdKj+roYe9vSC+IICFKAABShAgWwEtI8JV50olHiWYoXaTdrA1dUVHb+0g/LufcQ9T1UdYdLfbW1tsWjRIoSGhmLHjh1wdHSENFxFfZMC8CFDhkCVZUX9Pb42foE6depASmUobQ0aNECjRo3QpEkTHD9+XA+NN4NF2bro6P0DFq9eicVT+qNFtgG49PedG/ht2QZcse+JIR1rqAXgAJL/xsGNocDnjeFYqSgSLq+Fd8e+WPC0FZbtO4GzR1agb/Ft6NThR+y/ZzoTsvVwk1gEBShAAQpQ4JWALp3nqfEXRIBXI6GwHiNCHqfIpygvLxKNAKFoMlUciH6mSzFGcYwUvmjbpKEGGzZskIcfuLi4pA9RkYarqIa3rF69WlsxfN8IBW7evClU9/7hw4fpQ5mcnZ1FaGho3rQ49R8R+L8JYvnBv0V82jCS1H83iq8VCvHRtBPiaYarKsXDkHHCHtbiq0V/iOePTwnfr+wEqg0Vgf8mpR+ZGhUgOsBOdAi4KjgyJZ2FLyhAAQpQgAI6C2jvCZcW65k2EO6L49FmcGNUeuvl2BPzis3xw2ofOJ0dj44D15nUYj2vPsJofqXKkvHw4UPUqlULNWrUwPjx4+W/IEhnSL2hTZs21Xwy9xq1gPQXE3d3d7mNVlZWcqpL6Tlp3769nnvGVYwCLy7uxOyfpmBkQDhiU15+DnwRfQ0nE+qg0xc1UEJ1qPQ9OQLb/dfiimVHeLW3w/Vf/TH5t3IY6PcdOlV8lQHJzKYanCrdxKW7j6FKZCie3cfVC+EID/8TNxPYQ67OytcUoAAFKECBzALag3DVYj0eE7zMtUoAACAASURBVOA3phUqpw0AN1NURmP3cZgz3XQW68mMp+1nKcjy9/dHREQETp48KY8H/umnn7B+/XpIwRg3CkgCeRuMm+EtBy/sjjiGoO9bp2U/AZTJL5CCt1GqxFtqN+EZbuz8BT8FAe1/8EKrYmFY4bsD6PAthrWwzTD2O/XfP3H0ujWqWJWEOVKQ8OcmjGjliOp166N+/dqoWLc7fjh4CwzF1Xj5kgIUoAAFKKAmoD0IVy3WU+sDlMsyAdM0F+tR89PpZfXq1XHgwAEEBgZi9erV8qTN8+fP63QuDzIdAU3BeLNmzfQwZrwoSldvhMbVFGmYZihR5WM0s7yArcF/4InUOY5kxF1Yj4n/W46Y9qMwpWc13P9tPRZc+RiDhrRFtQwL/TzFlYO7sR//QRtHW5iLGIQuW4hlt5vh570nEHb2EH7t+zZWdfDCzJMPuPqm6TzCbCkFKEABCryBgPYgXLVYz/6wrENOxANcPHbGZBbreQNXjYdKE1rDw8PRvHlz1KtXDwMHDoSUVYUbBdQF1INx6VmRJnDqJxh/dRUzm5YYt6g7HoztjKbteqB31+ZwqtsPv9r6YPvifnAoeQcng44g4aO26PhZ2Qy94CL2FAJ+3g981Q7NapUEzGzRcuYW/L5/LrxbNoBjfWd0HjMZ410u4sd5IbgpB/mvrs1XFKAABShAAQoA2oPwt2uh/ZD2UPw2GX3+64uNISflQDLs2A4s+Z8XBs29CvtBXeBcwYKeOghI48VHjx4tD1GRxgLb2dlh2bJlkDKncKOAuoAUjEvPivSc6D8YL4HK3ebg+PlF6P1RKaB4TXyzeB9OB/rAxfpt4MVd/H3yGuw6NUKdEup/AkvE1e0rsOCKLTy8WqGmqofcohyqVSqVIViX2pJw5S7imEBJ/bbyNQUoQAEKUEAW0C1PuPI2js71geeodbiaAc4OzsN8sWBqF9RSFMnwjrH+kF2e8Jy2V0pPN2DAAKSmpmLu3LlysJXTsniecQvExsbKH9h8fHzg4uKCyZMn6zHPeCa7p8cwoeYXWD8kDFdGOqblGhdQ3tgG72a9sbbmbJza1B+10xcJkMaFH8aBmNKoZVcUd0+vxnfuK2HhG4wDI50yTv7MdCn+SAEKUIACFDBFAd2CcFkmFc9iInHhr2tcrEfo9+/rUi/4unXr0L9/f7i5ucnLm0vjyLlRQJNAvgTj4ga29muBzlc8cHLfd/islDmUcecQMMIT/X6tCv/QXzDYofSrnm9xD8d+/C88xgbhmlxpazh5+WKlb3fUNpEP6JruFfdRgAIUoAAFshN4gyA8uyJMa7++e8LV9aTgauzYsfKqmzNmzICnp6ecOUP9GL6mgEogb4NxgeSozRjQ0hNbSn2JjrWL4dbxYBy+2xgTtv+C8U2L40LQETyu3hhf1Cqb1lOejLjzKzGw6TTEfr8Fv373KUqpj2SBEg+vXsMLu2qwLqZ9JJyqnfxOAQpQgAIUMEYB/iY0oLsqjQGWVt08d+6cvNqmNCFv69atBlRDVsWQBLIbMx4ZGamHapqhaOWu+OX4Mazp/TFK4h3U+MYP+06vwXgXW1ikXMehkZ3hMuUgYtL/MFQUlnVd8d/+5fDb8n24EJ9pMHjiOazs3QCO/9uOazF38IC5xPVwn1gEBShAAQoUVgEG4QZ45+rWrYudO3diwoQJGDdunJwZgykNDfBGGUiVMgfj0uJQ0tCm3AfjZrAoWxcdvX/A4tUrsXhKf7SoVeZlr7eZBd4qpQDeLgoL9d5u8RyJT54Dtx7i8fP06FxOgRi9byV+OBmHmJ87o6qNNcpafwkP/yOIUaofZyCorAYFKEABClAgjwUYhOcxcE6LV626GRoaigYNGsgpDYcMGQJpCAI3CmgSUA/GpedHf8G4hqsVqYSG3zQCdm7DjkuP03KBJyMufCuWrr0ESzdn/Oc9tcnaieexftZGxFm6YlrQMYSFncDe6TVwfGgv9F54DokaLsFdFKAABShAAWMW4JjwN7y7eTkm/HVVkXo1pV7xLVu2YMOGDejQoQOkQIsbBbITkJ6Z+fPnY968efL8glGjRkGfE35FwkWs9O6Dfr+ao033+rCNj8CBTYdxrdoABOyahV7VVYsDJSN661B81PkQOmzchaXdqrzsTVeGY5Z9fYyy88bMZkXwZ+QzlK/fEl93bwmHsm9n1yzupwAFKEABChiFgM494eLZbYTvXoVZPgPR22MujsU9xdXdAdh64R6Xps6HR0EKnjZv3ozg4GBMmTIFTk5OelhJMR8qzksUmID0zPj7+8s56dV7xjdu3KiXZ8dM8TE8Fu1E2Jre+KjIcyS9XRltp63FsZDZ6JkegANQ9YI38MTgdpXTJnECqTf+xPG7AG7+i+h3HNDEsTgu/dwTjbr542RcSoG58cIUoAAFKECBfBEQOmypsSeEb3t7aeBm2tcAERh9S+wb6iCgaCUmHLgpknUoxxgOkQwKektMTBR+fn7yvfD09BQREREFXSVevxAISM9Jly5d0v8db9iwIR9q/ULcDhwoLGEvPAL/FamqK6beFSE+nwsoOgjfsw/T9ivFw32jhDXsxYCdt1VH8jsFKEABClDAKAW094SLezg0YyRGHawN36OXcWSmc9qHg/Jw8fkJPjVPYcqwNQhLlH63c8sPAalXc/jw4bh58yYsLCzksb9z5szhqpv5gV+IryH1jH/55ZfpLfj666/1NIEzvcisL9R6wQe1tEvLKy6QfHUX/BdchP0gb/R1tErfr0x+gWcoiXdLvCV/5lc+uoZTwUHYunU3Dl2MwTP+N5PVmHsoQAEKUKBQCmgPwuMvITjgBCx79oF7o4ooqZYJwcLaGX29mgGXTuP8dS67nt9PgK2trZzSUJq8uWPHDjg6OsqpDfO7Hrxe4REYPHiwPEZcemYiIiLkeQV5N4FT4MX1P3D83vvwGOmG/5RI+89D3MexFcsRhPYY1bcBrFT/pyRHYteyIMQ1+BpdPyuNhMsB6P9JXTRo2RGdO7dFUwdHfDHwF5yMeZ4JPAWPr/+NmGeZUiJmOoo/UoACFKAABQxJQHsQ/vQR7sQAVlWsX/2yTG+BBd4pbQXgMRKS+AswnSWfXzRs2BB79uyRUxq2aNFCTmmY+/R0+dwIXi7fBKRAXHpmNI0ZlzLw6O/ZMcNbtTywJfww/Npr6gXvi47VSqS1OwWxxzbAN6gYPEZ2QZ07gRjSaTB+fX8AAk5eRXT0LVw764emkdPQ5rtfcS1ZrUtc3EbIlHao7jKHf5HLt6eIF6IABShAgdwKaA/C37VG9Y8UuPv734hW+70nX1g8wMVjZwCFPSrbFMttXXh+LgSkISrdu3fHw4cP5ZSGUu/m+PHjmdIwF6amcqp6MJ6UlCQPb9JfMG4Gi3fLoHR6MvHHCN+yRkMveAS2+6/FlQaeGNTybYT+4o+VMW3gO38Sen1WFdbW76NyfTeM9umOYhvm4JdjD9Nuj0Di71swa+Vd1On0BWqpettN5eaxnRSgAAUoUGgFtAfhJeqg46A2wIYZmPjLMVx//ALAU8T9ex7B876H99yrqNarNRpUsNAzwgvEhK+BTxMbSGkBzcxs0MRnKYLCY6C1zz01BuGrfdBEPs8MZk18sFqX8/TcgoIoTsoVPXXqVHmowcmTJ1GmTBlI2TCk4IobBV4nIAXjS5culZ8d/Qfjqiu/i/qDluBgoA86aewFd0O9xyewZsEJWHt6oGstVZpD6fwisKxeB5/gIf69n/AyN7m4iX0LluGkZXeM/KYuVP3qqqvxOwUoQAEKUMBgBXSabpp8UxyY0Eoo0rOjqLKkKES1bj+LE/f0nxsl5Vag6GvdXIxedVpEpwghUqLFaT93YW09RoQ8lnZks6VcF4F9nYX78j9EvHzIYxEROEY4w00sj0jK5iTddxtCdhTdaytEYGCgqFmzpnB2dhbnzp17k1N5rIkLSNlUpOw70jPv7e2dd1l4XlwWyztUEmgwS4Q9TRXJYb6iCqoI98Abme5AingcMkYte0qqeBo2SzSApWjge0Y8zXQ0f6QABShAAQoYsoD2nnDp44OFLVwm/YrIC4cQuNwfvr6+8F20FjuOhuPMWm80KKvvXvBn+Dt4I1bU6YZ+vT6BtVRLc2t8MnQMptU5guCw7FaNTMWTw0sweG8D9O5SCy/70EqhuusIjB8dhXHLT+CJwX4cypuKubq6Ijw8HO3bt5dX3XR3d8fcuXPz5mIs1agE8qdnHBDP38L7TTpjzNiu8uRNM4u3UAopeJ6ckrYSZxqr8h/sXbMNMZZN0Pw/ZYE37gUXSI7agZ9mb8eF+5kndxrVrWNjKEABClCgEAjoFoRDQPn0MeLFO/jA4XM0adIETZzsYVMiHtcu/I7w8Kt4oMw8YDw3rU/ArYgoWNethArqNTR/D5XqPsea4IvZBNOxCAveD/Rqhvql1E98D01nhCF6RlOUyk21Cum5qpSGR44cwb59++T0ht988w2HqBTS+5nf1c7rYNxMURUths7CD21eTt4sUq0R+nyVgt3rdyI8Lvllc8VjXA6YgfGrnuKrSZ5oaWORNhZc9XNRNZbnePDnEexcswIrNv+G8JjEtKEr93HslxkYM2kLwrkYkJoXX1KAAhSgQEEIqEeq2Vw/5WWqsP9UR4269VG/vqav2Th6X48r3KU+wPXz0dnUB4g5fx13NA0Ml897hDo1SiD64Ir08eQ2vefgt0hT6wPPylekSBHcv39ffkMKxpnSMKsR92QvoCkYz5PJvyUc0HfOVHT563s4ObWF1/jvMaSjCz7rtwHoMxVz+jqghKoX3L43/tfT4dVYcClYX+GNz2s7o717P/Tr1hz1q3fBpJCbSJRzk/+FBmMGo0v6ePTs28t3KEABClCAAnkpoD0If/EHVvx3OFbFfAz3qb9gY2AgAjN/beuJepZF9FfPhGhE/BHz5uXJ5yUiYc0YDD1gh2Eh0RAiBZFjrLC29ffYeluaVGq6m5SWTsoP7enpib///hsjRoyAlNKwa9euekxLZ7q+ptJy9WD8zp078uTfmTNn6jETTxEoartj6fFj2DbUEbhxG49Lf4Lhy3cieF5P1FaYp/WCP0OHUV+jsZXq/55nuLFtIjr12wdbny04H/0YSfHXceIHK8wb/D2+912MoKLdMbJPfZRS5SY3lZvGdlKAAhSggOEJaB2wHh0o3AFhPWyfeJi+5rTWs3J3wOMQMdoawnp0iHicoaT7ImS0o0Dz5SJC09zMtPOyvv/yvKzlZShcpx8K28RMbY16+PChPOlOateMGTOE9DM3CryJgDTh18XFRZ7AmS/PkGoip/04EfJQmV7V1IcHhI+9Qii+8hfnn6r9Z5VwVIy3k0akcAJnOhZfUIACFKBAgQto7wkvWRoVrAGLd0rg7fzqPVLYoEYd6xx/YskylhwK2NaonP0wFrUrvUyHKKVE1PyldqhRvJRSGvr7++PcuXPyapuNGjXC1q1bjaJtbET+CNStWxcHDhyQ/8qyf//+POgZV2+HalEfZOoFT0Hc2b345Uol9Bziio/V84W/XQKl3gKglsZQPLyGS6qx4urF8zUFKEABClAgnwS0B+GlPoH7hG6I2xKE3248zZitIK8qKU/AtMm29KxBdtqhpT5Gi16O2Z6nyxtCCLzuS5cyCuMxqkBqwoQJGDdunLzq5vnz5wtjU1jnAhKQhjvlfTD+FDcjo5Bs3xNDOtbAq+mYSfjnj3DEoSG+ciwP9f4CEf03fr9riQbfe6CljXTGY/y+cjDqOI7DtmvRiHmQAGUBmfGyFKAABShgugLag/CUaFwKv4fyV2aj0wfV4NS2B3r37p3xy2Mujuk120A2PdfpEy9t0tIPZr5xpVDj08+ANQcQ9kR95qaUbeU2nL/6CDbaW5y5UJP6WVp1Uxo33qBBAzmlobRyYmxsdikhTYqGjdVRIG+D8VJw8FqF8GMj8UX6WHCpYuYorngXwAskZ8jU9Bi/b16FDdJY8LTFfER0CBb8sA+ImYPOVd+HTdnq+NxjHo7GMG2hjreYh1GAAhSggD4EtA6IUZ4XP9dTyOM9pXHDGr8U3mLnvVdjM7WWqcMBLxfr+ejVoju6LtYTf1r4OlcRzr6n0xbreS6iT88X7lUGicBbz3W48usPMbYx4a9rrbRYi5ubm3zPN2zYIBITE193ON+jgEaB0NDQfBgzniqenvcXXymqiW6Lz4t4aUh4aoL4d98U0UShPhb8kQjzbSmAKqL9tEBxIuysOLn3Z+FeTcNY8gytSRVJkUfE7rBbIkltuHmGQ/gDBShAAQpQ4A0EpKEXBro9FhEhy8VoZ+v0wN/a3VcEhkWL9DmZKX+J5c2tBTKvohkfIfb7ugvrtA8N1u5+Yn9EximeOW20KQXhKqPg4GB51c3atWsLKaDiRoGcCOR5MJ76SFxa3l9Ug0JUce4serZxfLnKr+VAEXj7hVzl1NuBwsMSwrLPJvFvsiqajhdhvs4C+EoMnTlFDO3TRwzw8Rfbzt8V6msBp8b/LQ4u/1708ZL+H1IPxpUi/t8zYt+2/SIs+qlQlZoTI55DAQpQgAKmI2AmNVUfPeqmUoY0YdMUyZKSkrBu3Tr0799fTnE4atQoSKnquFHgTQWOHz+OiRMnIiQkBH5+fvLQNmmCsH6257h/4Qj2n7yCxw8vYN64bbD0DcaBkU4ogccIn9Ud9UcBvmEbMdJRGr4CIPUq1nRuDvftxdBm2AB0rQec27wEc49UwfT9qzCmwXtqY8wFlI+u4ujW1Vhz1hLtvNzRzvoMhrgEoJR7HTwPjYDteH98V99K7Rz9tIylUIACFKCAcQloDMJTIjdh2PTD+MBzCkZ+HodNw37EngxjrDMhmNeDp583GuszV3imSxjKj6YahKv8b926henTp2Px4sVyAOXl5QVpRU5uFHhTASkYlyYBHz58WGMwLs1FyHlwLqB88CcO7giHRauv0dS6KET0VvT7qDO2dwzEpeWusJFnb6Yg9uAkNHRZDTvfLfj1u0/lHOIiNhgjPmqJZe13ImpxW5TN0jgpGP8b4f8q4OhQBk8fKVGqdHEkHpsMh8AGODO3BfT1sSLLpbmDAhSgAAWMQsBCYyuS7uJ4wGEku0lLRifh7vFfEXAuQeOh8k7Fu3Cbmf3bfMd4BGxtbbFo0SL07NlTDqCWLl2KuXPnonnz5sbTSLYkXwSkCZyHDh2CKhiXFo9S9Yz/9ddfkNJlSpOEpePefDODxXu10bxv7bRTH+P39UuxMq4lfAe5pAXgAJIjsN1/La7Y98aCvmqL+CiT8ewZ8M67JfC2xoubwaJ0NXxaWnrzGR6f3oiNj4oifk8IPvqyK97ReA53UoACFKAABV4JaOwJf/U2X2UWMPWecHUPaYhKUFAQvv76a7i4uGDhwoUcoqIOxNdvJKAKxqWecfUtIiIi98/Vi0tY0c0NIy2na+gFX4say3djS99aaSkPExG5oj8c+8ViovqwFfVKSa+Tr+PYngeo2qYeLO+HYf2UkVhbZSYCh30GSwv1JImZT+TPFKAABShAAUBjEC4SbuKPiHuQ+sF120rhA4eqeM8EfvEwCM/6REjDBubMmYNp06bJvePDhw/PxTCCrOVzj2kJSMG4h4cHrl69CldXV0h/bcn5sBQ1O+UTPEgohvdKSyv3SEH0n1jh1gb9Inoi5PgkNE1LeShiQzCmYUf80mC1WsCuVo7q5f1d8HI8ga6XpqFpqRTc3DQATW4OwpWRjtD8J0bVifxOAQpQgAIUyCYIV4bPgn39Ubims9AABEbPh6u18f/qYRCe/UMRGRmJb7/9Vp5wt2HDBnTo0IHjxbPn4jtaBKR5B5s2bcp2zLiW07W8LZB46id82uAXVMlJL7hUuohG8HcDsb7Sf+FV9zGCJi3FC591mN3ChpMytejzbQpQgAIUyCYIFw8uYO/Ra3gmCwm8iNqFCaNWIcbJHcM9msGhfEng6U2c2bkOC7co4eo7A5MGN8OHxYz/T7AMwrX/s5GWvZcm3JUvX17uIZdW41TfpMmdAQEBkHrMOalTXYavNQmoD1PR64c7ZSwij11AUt0v4JA2qVznXvC0iopnN3A8MAinYoDyjq3RybkKFMb/36Cm28R9FKAABSjwhgIah6NkKEPcxK5BndDufFec3PcdPitV5NXbymvY1L8tPG9/i9Dtg+FQwvh/+zAIf3X7X/dKGi8u9WRKk+2kDCpjx46FNKlTCsClIQZnz56VUx36+/szEH8dJN9LF1AF43fv3sWECRPy4C8tOo4FT68RX1CAAhSgAAVyLqB9EfcHF7BrTTiquLqgvnoALl3T4gN80e5LJPy2Fb/99TTnteCZRicg9XBLPd3SpDqlUgk7OzssW7YMz6SUE9wokAMBKUvKnj175LkH0vwDR0dHbNy4EdIHPr1sQgmL9z9FrzHe6PGftBzieimYhVCAAhSgAAWyCmjvCX9yED72LljaUj23blpB4iGOTXLFF1PKY3lEAPpWL5b1Cka2hz3hObuhUi/mgAEDkJqaKg9VOX/+PCZPnsxe8JxxmvxZUuC9d+9euUdceqbypmfc5JkJQAEKUIACeSigPQgX93BwTCe4zEiCu+8EDGz/H3zwTlEo42/jz2Pr8dOwpbjdaz2OLGgHa+MfjQIG4Tl/GqXASbXqppubm9yjabirbqYg4Z+T2L0vBKcigeqfuaBlmwb4UKE2HCvnFDxTTwIMxvUEyWIoQAEKUCDfBbQH4VISgISLWDtqEL5dHIqMS/YoUK3bVCybMxBfWGte0iLfW5THF2QQnntgKaXhpEmTMG/ePMyYMUMeG66XFHS5r1paCc8RE+KLHh3H4xAc0aZDBdwJ2o0Ip6nYvm4UXEzkWdcbZz4UxGA8H5B5CQpQgAIU0KuATkG4fEXlE9y8/DvOhv+BqNjngMIGH9X9FJ/Vr4zSJpAfXKXOIFwlkfvv0pCUkSNHIjo6Wu4VlyZsFvyWgriTfujcfApudZmNgB964lPrYnh+YwfGtOiLfW7bcXrKFyhV8BVlDTQIMBjXgMJdFKAABShgkAK6B+EGWf38rxSDcP2bS5PrpkyZAhsbG8yaNQuZUxrq/4rZlyju7cN3X7phzjsjELJ7PJqWVeW+j8WxCW3xxXpXhF0ZCUfV7uyL4jsFKMBgvADxeWkKUIACFNBJQHt2lLRiREIUjm1aiInD+qF3797wGDYRP6/Ygwv3n+t0IR5EgewEunfvjtDQUDRo0AD16tXDkCFDIA1ZyfdN3EfogpmYc8UJE2YPRpP0AFyqSSqSn7/I9yrxgjkTkLLzqFJhSplUpA95Tk5OkHLYSwE6NwpQgAIUoEBBC+jUEy7uH8bkbu6YfOhm1vpWG4CAXbPQq7oi63tGuIc94Xl7U6VVN6WFfrZs2SIvV96jR498y6CSGrUGnR3cccQtayYgERuMER+1xOqu+/D33BawylsGlq5nASnwDgoKkoNxc3Nz+XurVq3y7dnSc3NYHAUoQAEKGIGA9p5wcQ+HZo/F5EN28FoeiqjYJKSKVCTHR+PSnh/Q/sESfDt6MyKThRFwsAkFLSBlS9m8eTOCg4Ph5+cn915K6Q3zfkvAH7s2YXtCG0wa2hw2GTL9JOLq9gAsi6mH3q0cYJn3leEV9Cwg9YxLf3EJDw+XP+RJH/TYM65nZBZHAQpQgAJvJKC9J1yVJ7zDTlxZ2BblMgQnCbjg3x11h5ZgnvA3YufBughIvZeqlIaenp4YNWoU8iylYeoVrGjVFP0wDRF7+6K62sdT1TjxpdVn49Sm/qhdLMM/grSmMKWhLvfUUI5hz7ih3AnWgwIUoIDpCqiFGtkgPH2EOzGAVRVrWGWJPYqhnK0tgPuIjVdmUwB3UyBnAlLvpRR837x5ExYWFqhRowbmzJmTN2N6U58i9loMqnzlgMrq/ypENPb/NEUeJz5iZCfU0hiASykNf0T7jxuj++iduHr/LJZ7NsbH7X9ESAznTOTs7uftWa/rGT948CACAgLytgIsnQIUoAAFTF5APdzQjGFVEXUcFLi25wQuP8s05ETcRfiBU4DCHpVtjH+1TM1A3JvXAra2tli0aJE8eXPHjh3ycuXSBDu9buYl5Q+ad3//G9Hpj/kz3Ng2E95zbqHJ9CkY1qgssnwOhZTS0B89Os7ArS5LcDLyKHau3YHQy9vgGeOHwYtO44leK8rC9CmQORgfMWIEXFxc5Mnn0gc+bhSgAAUoQIG8EtA+HAWJuLZmMJzct+C9bj4Y3+dL1CxbHMrH/+LcjiUY/fNJ2Ppsx/EfXTT0lOdVtQuuXE7MLDh76cqqYQRff/21HCwtXLhQT0NUlLh/cCrauASh8rRhcKupwNO/tmHauB1An/nYNq8namtYLVM1VIUpDQv2udDX1aVecCkIl7Zq1aph5cqVaNiwob6KZzkUoAAFKECBdAEdsh2XQJWvp2L73RfwHDUe7pvSzwVgB+dhy7BgnLNJBODqLefrghFQ9Vw2b95cHpoiDVGRJtkNHz4cuVt10wJlm4zGryHvYeL/vkeXcTGA4nP0mRuI8f1cUFlDAA71lIZHmdKwYJ4I/V61adOm8l9czpw5A2tra/Tv3x/ly5eXF5NiMK5fa5ZGAQpQwNQFdOgJVxEpkXAzEpev/oPbj57DvGQ5fFi5BmpULQuNw2RVpxnZd/aEG9YNlVIafvvttwgJCcGGDRvQoUOH3KedUybgwf14KItbonzpYhqGoLw0eLOUhpy4aVhPjm61kfLVr169GtIwFWdnZwbjurHxKApQgAIU0EFAYxCeErkJw6YfxgeeUzDy8zhsGvYj9jxJzb4483rw9PNGY8si2R9jJO8wCDfMGymNEZd6xPOq11LEncbqzY/webemqF66KABVZiDg5/MbMcRBPU9+IiJX9Idjv7/guW8P/FpY4k6IL3p0HI9DcESbDhVwJ2g3IpymYvu6UXCxftswUVmrdAEG4+kUfEEBClCAJCsDPAAAIABJREFUAvoSEBo25fmfRT3YiwE7bwuhPC9+rqeQpqpl/6XwFjvvKTWUVPh3aWp34W+VcbYgMTFR+Pn5yc+pl5eXuHnzpp4aGi/O/9xGAJVEh+WXxQup1JS/xPLm1gLNl4uIlIyXSb27Vwy3VwhF+yXiUlKyiD0xUzRRKES1PkvEyeinIlWkiKR/t4lh9pbCfvwR8Tjj6fzJgAUePnyY/ow5OzuL0NBQA64tq0YBClCAAoYsoDE7ShGHIfhd/IXFbW2AIg4Y8ns8hBDZf8X7o21Z4+wFz9xufX34YTn6F5DGi0tjwyMiIqBUKmFnZ4dly5bpIaVhSdR2n4W9S2ZifJcakPrBoWNKw5pPDmBq3yk4VHMEFs/si8+sS8AM5ihW8Qu4utnjyvozuMrsnvp/GPKoRGnegfSMPXz4EO3bt0ejRo3QpEkT5M+CUnnUKBZLAQpQgAIFIqAxCC+QmvCiFNCTgLSgz9KlS+UJdnPnzpVTGu7fvz8XpZvBorQ9Wv7XDY6l0j5s6pTSEDi+YKacY3zCbE7czMUNMLhTGYwb3C1hhShAAQoUOgGNY8ILXSvyscIcE56P2Hq4lPqqm25ubvLEOv2suqk9pWHNe+vR2cEdR9wCcWm5K2zUkoyL2GCM+KglVnfdh7/ntoCV8h4u7FiHVTvPIxZWqN6kA75xbYwPNWVl0YMLi9CvgPqYcSnF4eTJk5naUL/ELI0CFKCA0QmwJ9zobikbpC4gDVGRVt2Uhg9UqFBBXnVz/PjxkIKm3G2qlIb9UDzoe3Tp7IbeP11Hw7mB2CfnFE/CH7s2YXtCG0wa2jxDAA4k4ur2ACyLqYferRxgKe7g6LQ+aNR5AnZefwoor2LboCZccTN3Nyhfz1bvGZfSZ0rDVJo1a8ZhKvl6F3gxClCAAoVLgEF44bpfrG0OBaQgyd/fH+fOnZMDo88//xwbN27MYWlpp5mVRMWm3lh5IhL3o6MRczMEK4Y2f5lTPPUWwnf/DjR3Rcs66plTAHHvKBb77gDae8Hzy/IwSzHHu7Uaotf0bTj22xasXiOtuLkXI/ALOg5ch8jk9CU8c1dfnp3nAtJzNnr0aPlDH4PxPOfmBShAAQoUagGNQbh4GInTYZdwMyGlUDeOladAZgFpcZ8qVarIkzYnTZok91aeP38+82Fv9rOFAu9ZW6OCek5xHSdu1pKS7FuUg0PXsVj4fTNYW0hjVqSJmy7wHNAMCUFbsO/PxDerD48ucAEG4wV+C1gBClCAAgYvoCEIT8GDk/PRzMkbmyKSgJRIbPL2gMesY4gz+OawghR4vcDEiRPljCkHDhxAly5d0KBBA9SrVw9DhgzRwxAVtWvrNHGzbLYLAQGpUL54AeAZXijZE64mW6heMhgvVLeLlaUABSiQrwIagnAh//JPQByu/R2FmJh/cHnXKqw6cxU3YmIQo+nrziM8Y5yQrzeOF8uZgBRsOzk5yV9eXl6YOnWqnNLwzp07KFOmjJ5SGkqd2VXRzqc/am74EaN/WIXArb8iYHo/NOu8HOgzFfOGNICl2kTNDK0RiYg5tRpTpgYBDdqiSc2SGd7mD4VPgMF44btnrDEFKECBvBbQmB0l9UYg+jfrgxVXE3S8/gAERs+Hq7WFjscX3sOYHaXw3jtVzW/duiW/tLW1Ve2Sv0tpDIcNGwZzc3MsWbIk99ktxFPcOLQCE//3I1adjQEUn6PPtIkY38/l5bhx1dWVCXgQE43b16MQcfUSwvZtxqItZ5FQrT+Wb/OFR+1303rMBZTKVFhYGGdOfhWHKXyXJgZLOex9fHzAbCqmcMfZRgpQgAJZBTQG4UAKEiL3Y92Oy4hPvYXDP/2M3ZXdMb57HZTKWgaASvjKyxUOCg0d6xqPL7w7GYQX3nunS83VUxpKWVVGjRqFXKc0lILs+/FQFrdE+bRx4+LZbfy+byd2HAzG7pXbEa72eVfh2A3f9u6Orl2a4z/y4j4vay7ijmCyx0ZUGDcNA+qXec1QFl1aymMMQUA9GNfb82YIDWMdKEABClBAq0A2QbjaeSkX4O/UCGM/2YCoxW1RVu0tU3zJINw07rrUWz59+nQsXrwYfn5+kIauSOkOc78JKGMOYGqPfphy6CYUjh3h0fpL1K1dFZU+sIOtbUVUfN8S0nzNjNsTXPDvjUZDw1F/QF+0qVoGVjW/QLsWH6OsPJkz49H8qXAJSMH4nDlz5Dz2DMYL171jbSlAAQrkVEB713XasvVPZtXClU0LMXFYP/Tu3Rsewybi5xV7cOH+85xem+dRwGAFpKEqixYtklfd3LFjh7zq5tatW/VQ3xTEXb+KGwnSWvV2qN+4E3oM/C88urVF088cUN1WUwAukHxtJ2ZM2o4EhR0qli2KJ3/vwg9tG6HhfzcjiikM9XBfCrYIacy4an6C9GFPyuLTv39/REZGFmzFeHUKUIACFMg7AaHDlnrvkJjYxE6aepn1q9oAERARr0MpxnGIZMDNtAQSExPFhg0b5GffxcVFRERE5BIgVSTH/SX2zvUUTgoIKL4SQ5cfEzeSUjSXm3pD7BzoKKBwE/7n40SqfNRTEbH8awE4itEh90RyQoJIevmG5jK4t1AJSM+Yt7e3/Mx5enrq4ZkrVM1nZSlAAQqYhID2nnBxD4dmj8XkQ3bwWh6KqNgkpIpUJMdH49KeH9D+wRJ8O3ozFxTJu89JLLmABaSeye7du8sLsEgpDaVeytytumkGi9L2aDl0MQ5eDMHCHklY3q8xarUaieWHriFBCr3StxTEHvoFoxbdw1fT/4d+DqXTxoIXQdGi0j/fCASObgF7hQLFq3XE/9aF4T5TGqbrFdYX0jwEaXGpiIgIeRhU5p7x48ePQzXBuLC2kfWmAAUoYOoC2oPw+EsIDjgBS68xmOzREB9aFoMZzGChsEbtVt6YMqkNEoL2IfQfDksx9YfJ2NuvPmTg5MmTckpDadVNaTJnzrYiUHzYFAMX7cbFkIXo8XQjhs0Nwb/P1aLwxN+xYtwCXHH6L8b3ckAJ1YUSL2PnmqNAtfboO8YPG88ewq99S2JrTzf0D/gLyarj+L1QC2gKxtu3b49GjRrB1dWVgXihvrusPAUoYOoC2oPwp49wJwawqmINqyyTxYqhnJzm7T5i46UxrtwoYPwCUmAkLfYTHByMKVOmoHXr1pB6JnO8mZXCh00HYtHRszj7c3fIq2jKhSUicuNcTD5pj+FT+6KRpSo1obR/Nsb+Vg5eP03D6M7OqF/fGZ2/80bvStcRtOkU/knNcW14ogEKqAfjUVFRcg3Pnj2L9evXG2BtWSUKUIACFNBFQHsQblURdRwUuLbnBC5nXpFH3EX4gVOAwh6VbYrpcj0eQwGjEWjevDnCw8Oh6pkcOHBgrnomzYq9D/tKpV6lHky8hB3LD6Ho14MwqKl1+n4RE4K5P+1A0a+HY2S7SlBl5xcPo3HtMWBdtxIqaP+XbTT3wZQaIgXjUvDt5uaGL7/8Us4zLi1AxQmcpvQUsK0UoICxCGj/Vf12LXT6zg2Wh76HW5/pWLPvGMLCw3DqYCAWDffA14uuwX5QFzhXUIUCxkLDdlBAu4A0Xnz48OHy2F2lUgk7Ozv9rbpZwgnDdocidEZHVCma9mcoaY7Gzz9hUUwzTPJpl3G//2ysTO6GCe6fvMrnL+Uof5AA/p1K+70sLEdIz9zmzZtx+PBh+bmThkNJY8YZjBeWO8h6UoACFEgT0Gn6afItccS3h6iWJTuKnXAetlFcjlfqVIwxHMTsKMZwF/OuDaGhoaJ27dqiZs2aIjg4WM8XShVPw2aJBrAUThMOi9j0bCga9iffFieX+4g2VRRyhg2FU1/hu+MPEZucflJa3VLF0/NLxcD/rRNh957pub4sLr8EpGwqUhYV6f8nKatK7jP45FfNeR0KUIACpiugvSdcCtYt3scXI1fh9xuXcSpkFwIDA7Ft3zGcjwzHXr9uqKVQjVXlZxsKmLZAw4YN5eECEyZMQIsWLdC1a9cMQwWksePz58/PIVIKEsW7+Lj5QEwd1BCWqjkayX9h49T5OGn/35f7cQdHp3niq34BuNdwOBYGrMPc9qnY/E1rdJ52BPfV5n1COnfidCwKDEOMUrf/DnJYeZ6WhwLSMJWlS5eyZzwPjVk0BShAAb0LmO7nj5y1nD3hOXMzxbMePnyYnut53LhxYs+ePXJPpfQMzZs3L4ckqUKZrEzLFS4VkST+3ThAWMJe9Nn4t0gWyeLuPh9hDzvRZMJ+EZ3e8/1M3N45StijkRh/9EHatV+I24EDhSWqia8DIsSLHNaIpxmeAHvGDe+esEYUoAAFMguw60vvH2tYIAVeCkgpDaVcz+fOnYOU0lAas1ulSpVc8pihiEWRV5M0Y49j4aR1SG4/HCM7VIbFi0vYOOUXXLHvjXFDm8I6fUn7t2HzRUu0tw7F+tPX5THiIvYo/MeuQXL7kRjrVg1Fc1kznm44AuwZN5x7wZpQgAIUyE7AgIPwF4gJXwOfJjYwMzODmZkNmvgsRVB4DN4k+1rq7a3oZ1MfPgcfZGfA/RTIU4G6devKKQ1nzJghP8u1atWS8zzr46JmpZzw7cpN2PRjNzm1Yer137H7BPD5wM5oZJVxmJh4+gj34tOuKmJxevFMzLjihBEjO6mlRdRHrViGoQhkF4xzoR9DuUOsBwUoYMoCBhuEp97ehXHt1gJ9tiM6RUCkhGNGhVAMbDcPh5/oGIan/ovtEyZiRYwp32K23VAEpMVVTp8+jd69e6NevXpyz3hsbGzuqmdRChU/a43Wtd6Ve8dFUgLuwwpVbcvgrQwlJyPm5AEEJXyEr+wrIPXqdvz04wnYDx+NQY3KpvesZzgl8w8pSnAxzswohePnzMG4lMVn5syZyPXzVziaz1pSgAIUMEgBAw3Cn+Hv4I1YUacb+vX6BNZSLc2t8cnQMZhW5wiCw3QJXJ7gyqopGB31Hj43SHpWyhQFpCEqo0ePlifQ3blzR151c9myZblYdTOjYpEP66Kt/V38duxPxKZPwBRQRgfDd+waxDXoA88vkrDtR18EFe2BScOcUU41wVMuSkCZ8BAxMffw6Jn6h91ERK7uj+bD1+HCo5SMF+VPhUZAPRgPCwuTnz8G44Xm9rGiFKCAkQnoHISLZ7cRvnsVZvkMRG+PuTgW9xRXdwdg64V7eZCDOAG3IqKyLjpi/h4q1X2ONcEX8eS1NyIVCeHLMXBccfz0fRcoXnvsm7/JP+W+uRnPyCggBUNSrmdp1U0/Pz84OTnlbtVNVfGlPoWX70C8O3cYPCYGIOTUaRzbtRgje3yLubdc4OvfC3Ynl2HSqmdo/8O36FBRbZEtZTROLh6Ez63fg41NeVh+5IaJ268gQQgob+zCjyNX4fzjorBU6PzfhqpW/G5gAqrnLzQ0FPv372cwbmD3h9WhAAVMQ0Cn36Yi7iRmd2uG+m09MGrmYgSsuoL7zx7h/+2dC1xU1fbHf6iV2WRhjyuk5V/FR2rqRSrKvCgKmflIU/OR4uuKls+bkoZUChrixWdp1zDzbYb5yBITnyimkpBaDppp6KAo4AMVBWb9P+vIwPAcYAaYM7PO58Nn5pyzz95rf/dmzjrrrL3W2Z9D0autD2ZEXrCsIq6/inOxuiJHIDH2HC4ZG+nyl0w7iiUfrEb9RZPQ47mH858t874htBynKRdFvMwY5UIjAoasm+PHj1f8xEeMGJEnpKFR0RJ+fQjOXT5GRORo1Nr+ITq6v4x2XUcj7JY35m/7HOMa/YmvPv0fTrmPwpT+zZCjgtP9sIZeozYBb8/CN99twDcjH8dP7w5DYOSv2DlvHpZn9MecKW/i2ZzFniUUSYpZLQEOqblz506IMm61QySCCQEhYMMETCvhnKEv+ANM2tUMIftOYu9sj2wc/4Cn32fwa3oI08evxNHbOe++zceVpoP2eFkdua8hZsksbOvyBeb3fA6mO1h6cY8fPw5/f3+LuRCUXgK5wpYIcAbE4cOHIyEhAdWqVVOyH86dO7fs88vhETzbYQyW7TuBv07+iqOxZ/DXvi8xtt1jiF8zH7Oim8Iv0Acv1TQs3MxCyu7PMfLTQ2jqtwybl/phUK+3MWhSKBZ/XBP/+3AkPpx7Cu5T3sfbLjVsCb30JZuAKOMyFYSAEBACFU/AtI568wQiVhyE40AfDGr7LB4x8h+t5uSBob4dgRO/IPbcnYqXvkCL93Bxoz+6bmuHOb5tyuSGcj8SC0djKfg3ZswYpcWvv/4av/76K1xdXREbG1tACjkgBMpCoE6dOli8eLES0nDLli3K/Nq4cWNZqlKucaheC/Webw3Xlg3wZPUqwO3f8dPKfXjAZxxGtzNajKk/jU3BYTjV5D18NrmTUVjDmmjy0kvQxMQgrsl7CPR9ETUdCJmZ4hNe5kGx8gtFGbfyARLxhIAQsCkCppXwW9dwKRGo1cAJtYwU8PsUquHRx2sBuI60O8X5h5SSmcYZjVs4lfIigCOqBLx/DhPnDIFrGf1WiQjF/bFQPj4+SpSLiRMnKlEupk2bJlEGSj1ackFRBDik4Y8//gjOutmrVy907NjRTBeV7JZquGH8DwdwaFb3PC4ldDEOO3akFxLW8C4unv4dCWiCIUEj0L5WVVDqPgS+/T6WHE2GBd99FYVCjlcSAVHGKwm8NCsEhIBdETCthD/mhEbNNbj86xno8t916Sp+238Y0DRBfecc71LzASoLMJ2LrMepVT3ULiB5dkSVxG2Y1MYxx5JdtfEw7EAMZns+BQfvZYi30LOCwYVAq9UqiVjatm2rLHAqUmg5IQRKQYDn1zvvvIPk5GS4u7srLirmP+w5oJrj/6FR7YfySKK/mYqLhYU1vH0cW77aCU33Sfiwa1044AZ+WzkP/928Deu/Woj/zlmIZdvicEXiFubhaUs7hSnj7ColoQ1taZSlL0JACFQWgQKqbAFBarRAj/e6AGuD8fH/9uPc9XsAbiH1fCwiFk7FmHmn4fLuG3CvXa3ApWU/oEGdxvVRYAGmsmDzGlo0di7E1aQ6Gg39toAVO0sbBi+4YnLkFVDEUDQy3eNSic1RBrZu3Qq2int7e2PUqFFygyoVQSlcHAEOaThjxgwlpCFn3XziiSewbt26svuLF9JY1TrPo32TFBw+HJ8b1pCuIS4sBJ8e/xeCPn0bjR4AMv7ciuBPNiFNUxfPPvUAbpz5ATPfbItX//0tzmbkf0IvpCE5pFoCxso4u0rxPBRlXLXDKYILASFgLQTy57EvdD8jgXYGdCYNlDfQfLfN/tOQS9/5dDApo9DLzDmYdSGchjo1p0Fhx+kmV5Slo19CB5GT0xSKvJ5V4qqztGHkBVeaHHmlxNcUV5D7XtSWkJBAvXv3pqZNm1J4eHhRxeS4ECgzgYiICGV+eXh4UFRUVJnryXvhLfpz3ShyQUvqPe1LWvfdNzR/fDdqAA018dtJyXoi0v9NW0e5EjS9aUFsKvEholukDetHUP6/kigjLY3u3D+Rt3rZszkCPPfc3d2V+0BoaCglJyfbXB+lQ0JACAiB8iZQtEaZv2X9LdLF7abwsAUUEhJCIYtX0ZZ9WkrNKK+77nXSRobRZA+nHKXfaVAIhR/VUY4KnvUHhXk5EYpRzCtSCTcgW7t2rSIzK+SsmMsmBCxJ4Pbt28SKDz8Q+vr6WmaO6a/Tn9sX0LhuruTY2pVaa0BwmUBbdfeIKJOSI/2pCepSp/kxdCunM+l0dsUAAjTUwLU1NeCH8wbdyW/VEUoy+l3Q3zxDR09eJcs/qucIIl8qmAD/rrm5uSlz0MXFRfkUZbyCB0GaEwJCQPUETCvhWfG0aqgP+a86RqnlpW+rCGNxlnDjbvBNihUkLs9KuWFbuHChBS2Yhlrl0x4JaLVaGj58uDLHli5dSqycW2LTX9lNAR6tqd8KLbEKTrcOU4i7I8FtBu1Lycxt4lYMze9Ul+DSn4K+201Hjuym74L6kwvqUfewk/evZSP6zdO0fd44GvLxtxSblJ57PX/LuEm6+Hj6K+VOtnU972nZs04Cx44dU+Yd/77xHIyMjCR+O8P7ooxb55iJVEJACFgfAdNKuC6cBgFULzCa8t0+ra83FSBRSZVwgygG9wFPT0+aNm1azo3Lcq4Ehpbk014J8Fxq1qyZ4qbC880Smz7tGl1TrNnsctKfNHCnCdsvGinKhuOu5Bt+NtfKnR5NgfVA8Aojbc4rK5Yok26ejaQvxo2ij9cfId2dLCJ9Av00wYNcPLpTF49+FBSZkFuPJTohdZQrAZ53rIAbP/zxMVHGyxW7VC4EhIANETCthN+Lp3VDWpOm2wKKThJrVWmVcJ4r7C9psIrz9fwnSrgN/RdZQVdYETJ2g2IruUW2W79QyCtO5NhvFZ25l/sqTK/bQqNcNAWPXwynIY4gp8mRdL0wAfTX6eyuMPo4jN1aMunmX39SYoae9MnbabzrTIq+ldtGYZfLMXUQMFbGLfmWRh29FymFgBAQAiUj4MDFil0kqv8bkTMmY9Qn63EaTnDt0h7NnsgXCaVKawwPHYPXHA0Z+IqtUdUnOYmPKWRFdfDAgQPo06cPnJ2dsXr1anBkFdmEgCUJcOi4Tz75BAsXLlSyuk6YMAEcYaXsGyHz2l+Iv/kPPF/3kfvVUBJ2TXkLnp8/jflR32Bsy5r5jtfF4kNfwbeZxkSzhMzEOOw/XwVPX/8BYz5wwMxfPsTLNQokJDBRj5y2VgL8m8fZhS9fvqzEve/evTs4/KZsQkAICAEhUBKzbmYszW+tyXGjMFhy83xqxtDWJCNf0ZI9AKiyVEmQFdcxtlj6+/srPD/55JM8r3KLu07OCYHSEGCfXXaB4kg9bCE3dhkoTT0Fy+rp1tE55A5HcgvYQyk5huuijhesgfRJFLc7jpIyMij15FYKGdSaHLv403cnrxm5uxRynRxSLQF2kzK4TFl2PqoWiQguBISAECDTlnB5VMlDwBxLuHFFnO5+4MCB0Ov1WLNmDThLomxCwNIEOO09WyL57cucOXMsMM8ycfXocvh/9BfeWvkpvJ/OfiuW8TuW9e6CYdq+2L43MPd4YR26tR8BTb9GswNfom/darh7aBaaLX8B0UvexFOFlZdjNkHgzp07+OmnnxSLOP/ucUZYsYzbxNBKJ4SAECgjAdNKOKUh4bgWSRnFtVATz7VsiCer2f5rZEsp4UyTb0rsljJixAgLuQ4UN0Zyzl4JsIvKV199BT8/P4wZM0ZxVzHXRSUrU48q1ari/n98Ov5ePx6t3tmL7ut+wNK+DZDPYS0vevobG4eNxeGeMzHOFYiZPx4znwzCzg/cUCNvSdmzQQKijNvgoEqXhIAQKBMB00p4ZgzmNGmDSX8WV/9IhOsWoadTsbfe4ipQzTlLKuGGTsfHx2P06NHQ6XSYN28evLy8DKfkUwhYjADPM7aKb9iwAUuXLsWAAQMs4p9LKZGY8moPfN7ovzi0fgSaVTf1ME7IvBKD9QtDMXfuMdR+bzpm+/fE8xrbX1NiscG0gYpEGbeBQZQuCAEhYBYB00o4XUHcTwfwZ7o+b0MZqTgbvQVLwlLQMehj+P3bE/9n8uabtwo17pWHEs4cjK3ivr6+CAoKMnNBnRrpiswVQWDHjh0YP348qlSpgsDAQCxfvhyLFi1CnTp1ytZ85g38fTQKJ2q+is7PP5ZtHS9bVXKV/REQZdz+xlx6LASEwH0CppXw4kjRJURMfAP9Lv8HR77pjwYPmLKAFVeZOs6VlxJu6P2FCxcwceJEnDhxQlGQevbsaTgln0LAYgRY8WHFe/LkyUqdLVq0wJ49e+TBz2KEpaLSEhBlvLTEpLwQEAJqJ1DFrA44PIkXXnsRqWs34OfTd8yqSi6+T4Ctkd9++62yaKlXr15KSENWzGUTApYkwGHi3n//ffTr10+p9vjx44rfOCtCsgmByiDAc5KNDkeOHFEMENOnT4ebmxt4cbHMy8oYEWlTCAiB8iZgnhKeeRm//XK8vGW0y/rfeecdJCQk4IknnkDdunWxbt06u+QgnS4/Aqz0hIWFKTHFDx06pESucHV1VZSe8mtVahYCxRMwKOMxMTHKGgZexyDKePHM5KwQEALqJGDaHSUrHuvHz8KPN/L5hEOPO3//gg17TkPTaQGiNr2PlnaQZKO83VEKm0YGH97mzZsrFiJJ8lMYJTlmLgG2Nm7evFmxjnt6euKLL76QhFLmQpXrzSZgmJdsGed1DPzZuXNniywqNls4qUAICAEhYAaBEijhcVjg1hbjjqUVbEbjim7DhuE/fkPRzumhgudt8EhlKOGMkcPMffTRR1iyZIlFI1tYdIgyU/HXyZM4fdkBdVq0RlOnGrJIz6KAK6Yynmtz585VHvgsE9KwYuSWVmybQFHKOB83L+SmbXOT3gkBIWC9BEwr4dYre6VIVllKuKGzBqs4J1+xHktlFtLityJk0hRM33LqvqiatvD94nOEDHwBGttfr2sYHpv6NITOjIyMxNq1ayWxik2Nrno7Y6yMZ2VlKQnPOMTrhAkT1NspkVwICAG7JFBCn3A90hNP4MDvV0EgZCbuxYIhr+LRR1/EO0GbEZ+WZZfwKqPTHEOcfSXd3d3RuHFjxWLJN6XK27KQdnIVxrz5Lqb/4Y7524/h7Pk/sG9+KxwZNBSTtyWAKk84adkMAuz2tHPnTkRERCguAG+88QYOHDhgRo1yqRAwnwD7jPOamaioKLASfubMGSWi1MyZM2UBp/l4pQYhIAQqkgCZ3DIp5eBsaq8BOY7bTsn68xQ+pAkBLuTRpR01gIaa+O2kZL3JimyiAACr6cexY8eoWbNm1LRpU+LvlbHpU/ZTUPu6BJcRFHbiGuVMA/1pWtG9LqH7Cjqbc7AyJJQ2LUHg9u3bFBoays9T5OvrSwkJCZaoVuoQAmYRiIqKUuakj4+P8jvIv4cRERFm1SkXCwEhIAQqioBpS7j+NL7/ZC52Ow3HrIGt8Mi7fG6ZAAAgAElEQVTpnfjy61NA92lYtnUzVgW2wanPv8OeS5kV+ewgbQFo1aqVEs6L0963bt0a06ZNq1hLEF1B1LwAfLS7DiYs/ARDmhklanF4CI889iDwdyoKrOmV0VMdAbY+8ut+rVaLzMxMJWIP+41X7lsY1WEUgS1M4NVXX1Xm5Ndff628IeRIKpyIqn379vLWxsKspTohIAQsT8C0Ep58BocPJqLe4GHwafM4dL/swg44ou3rrfGsgwbPNW0MpJ3CWV265aWTGk0SMFaOoqOjwSHm2G+8/DfC7V9XwG/6ETSZEIAPvZzzLsK88RdiD1+GY7vGqCvZyMt/OCqoBXZR4ZT37ArA4Q0rbr5VUAelGdURMESLMripsLtet27d0LZtW1HGVTeaIrAQsC8CppXwzHu4kxMY5RriY04AaInXW9VBVWTi5rUUANXxYDVZfVeZU4dvRFu3blV8I729vTFq1Cglokq5yUQ67PpqOaId30XQB554Os/wp+Pvn9Zg0al66NuxORzLTQipuLIIsAWSk6oEBASA51ufPn3ACzllEwKVTcBgmEhOThZlvLIHQ9oXAkKgWAKmlfCnG8G9rSPObd6ETT9vxJoVcUBzL3i+8DCuxf+IsCU7gSYvo/X/PVxsQ3Ky/AnwzWf48OHK61m+AbElqLys4nTpF4SvOofm/3kXrzs/kKdzlLQH8z5ZjVR3HwzvkM9Cnqek7KiZgMHyyHOtdu3aykJhdoniEIeyCYHKJsBhC9mFSpTxyh4JaV8ICIEiCZh2Ps+gpL1BysJMXpQFtKYh6+LpXmYszW+tIWg6U8DOBMowXZFNlLCmhZmmgK5du1ZZtNSvXz+LL6TLOBpCDeBO0/Yl5xVDf5G2T3AnoD0F7EvKXaiZtxQR6Skj9S+K3beDIvafJN2drAIl5IC6CPDiYE9PT2WBHM89XswpmxCwFgLJyck5i4s9PDyIF3XKJgSEgBCoTAKmLeGohqfaTcLGuEPY/v0P2BW3DV/0ccEDVZ+Dx/SV2BuzCtM866BakWq+nKgsAhzGKyEhIWch3bp16ywmisPDGjjhJq5cv2MUgjAN8aumY8zcC2gfNB3j2z6V10/c0DpdR/ym6ejVpgVatfOC92vN0KjdeKw8ed2oLkNh+VQLAV4ozCENAwMDlZCGXbt2RWxsrFrEFzltnIBYxm18gKV7QkCNBCrzCUANbd+3/iu6oWJVVpMl3Jgvh+3iUIatW7em3r17m2+lvKelFf1cSNM+gMJj/6SLZ4/R9vlDyAUacvFZTiduZho3n/tdf41OhI24X27QfNoee4bOa/dQmO8rBJcJtFV3L7esfFMtAbY6BgcH54Q05H3ZhIA1ERDLuDWNhsgiBOyTQAkzZhIy0y4iXnsZ+dPC0O3L0MamosHAd/Cyo+2HwajsjJnmPOhxhs333ntPqcLgL85+vWXb7idtmjdhPCatj8uuoi48xofg8xlv43lNYXMhC6nRoejlNR0X3l6E7xcORLPscvTXSrxV/yNgxS58/27Dwi3oZRNUrqpEArxYk8PGbdiwQYmqMmDAAJR9zlViR6RpmyXAaxi++eYbZVG7p6cnPv30U/DCY9mEgBAQAuVNoARKeBZSDy2Ez8Bp2PJnTpiUvHJpxmDr2bl486nCFK+8RdW+p2Yl/MKFC+jZs6cS1eK5555Dw4YNwYq5IcRXmcYmMxVnjx7Bb5eA2s+3RiuXp1A9T6SU3FopdS8+8X4L02/+G9v3BsL7aSMnpsSNGOw8GMfnR+HI2Jaw/ZmUy8UevvECYY7fXKVKFXz55Zei5NjDoKusj6yMf/XVV/Dz84Mo4yobPBFXCKiUgGmfcE7W8/FsbLn8Agb5+2OkR11A0x4jp0/FyPYuADzg990kvG4HCrhKxzhH7Dp16mDjxo1KjOc//vgD7u7uSkQLs5KuVHNE/Ze90KOHF15ulK2A0xUcWhOOmCt3c9oGruPXsM8w/UgTTJg3Fl7GCjj0uHHmOA6jAdo1rp2tgBMyr51D3P6fsSPqdySm643qkq9qI+Dl5aUkU2FFnN/C9OjRQ0Iaqm0QbVxe9hmfPHmyEk2F5yvP044dO0rSHxsfd+meEKhUAia9cJK20khOWe+7lS7r0+nsigEE9KYw7R3S3zxKC7o1IJdRW0hnJ6nJ1eoTXtQ4c0QL9hXndM/83fxNT7diF1AnDQidltDJe/cnhv7yVvJ1BDkOCaeL+edKxhla59OE4DiOtl7OINJfI+33n1C3BpocP3yN2xhaceJaMdFWzJdcaqgYAocPH6ann35aGVv2G5coKhXDXVopHQHjdQ0c9UeiqZSOn5QWAkLANAHTlvDsZD21GjihlsODeLpeQ9TFWWgvpMFB0xxvvv0yTi9ej53njK2elfpcIY2XggBHtOAMc8OGDUPr1q3BcZ7NS0XugIcb98T0/07HnE97oekD7JuSiUtR27Aq1QP/+XcHOOdxV8lEUuRSfLL8MtynDkCHp27h5NeT8OZbc/DHq0HYHnsG57V7MN81BoPe+hTbEjNK0Tspao0EeF1CUlKSIhpH7OGsm/yGRjYhYE0ESmIZZxc//pNNCAgBIVAWAqaV8JpP4bm6QMqfiUghBzz8j2fRFEnQXrwGQhVUe/BBABdxOUWUo7IMgDVcwwvlOKmFVqtFdHS02anIHao/g5f/PQ3/cX8ye4FlOnRnTyGt7r/QrsVjebpMSTvx2fjPccptIoKHvYC7h/6HMePWAj6L8P3n78G7ZQM82+hfGDLZF91Pf4evdp6XMIZ5CKpvh92feOPEUhzSkLNu8uJNfvUvWTfVN562LnFRyvimTZuUNTa8zkYUcVufBdI/IVA+BEwr4Y88j04+bZG6ahb8Fh1A8jNN0a55KiLXf4sfonfi+++jAE191H2KlXHZ1EyAF2hu3bpViRLAqchHjRploeyHVfCw5jEg7Rqu38rKRZT+O1b5TcXcC/9C0HxftMUhzBs3C7vrvIeFwQNyIqfwBQ7VH8FjSMXfqbcg3uG5CNX4jSNPHDt2DAsWLAArOBzPPioqKmeNwtixYy0079RIR2S2VgL5lfG33npLWeR+5MgRrFixwlrFFrmEgBCwYgKmlXA8gbZjZmFOl1tY/oMWqQ//E0Pn+cFt70fo9sobGLc+He2nDIFXXVHCrXicSywaW8XZQslWcU73bAhlWOIKCi34MFw69UY/bEToos2I+ysBf8X9hAUjB2LQcsBn/kyMffmBUi7cLLQhOagSAuwGZRyqkBWcGTNmKPPu999/xxNPPAF2VTHPNUolMERMVREwKONs/X7xxRcV2c+cOSNvcVQ1iiKsELASAqbdxrNLZFynhL+Ts9PT36PUPw/R9u830fZD5+hm/oV2Ja5UfQVtbWGmqRHg9OPc5379+lFCQoKp4sWcTyfd3rnU1yV3sSU0nWj8uuPK/CnVws0CrWTRHd1JiktIk4WbBdio84AhuZSkF1fn+NmL1Lyo+PTp0zRmzBjld3L48OGk1WrtpfvSTyEgBMwkUAJL+P2nBcq8icu/bcE8v1EYPORzHHdsjvoPXMet6g8XGRfaSp4zRAwzCLCrQEJCAjIzM1G3bl3FOlm26h6CU7txWHU4FtHbN+H77Yeg/WsLQvs2h8ahFAs3ObQhXcWhhQEICJmDkIDxGPzmi3jKuRk8AiKQyLdC2VRPwBDSsFu3bsrbGHaNEr9b1Q+rzXWA3+ZwvgV2reK3h7zfuHFjjBgxQizjNjfa0iEhUA4ESqLE61MOUki3JsqTPltFgZEUrrtA28e1JGg6U8DOhGwLeUlqU3cZe7OEG49WeHi4Es6Q096bZxU3rpW/36SjIR6Euh/TvrS8r1X0l3+iCU00BLcZtC8lk4j0dE+7niYM7EKuGpCmQQOqx3PScQitOHMrf8WybwMEeK6xhZH/90JDQyWkoQ2MqS13gS3hYhm35RGWvgkByxEwbQmnJOwO/gCTdjVDyL6T2DvbI/tR4B/w9PsMfk0PYfr4lTh6W0yQ5fCMZFVVchQAXkDH/rpsFefscpbx2S3hwk1HzqPpgAca9UHoyh9w9OYdnJz9Jh5APXSbOR69G9SwKl4ijGUIcJKppUuXKnMvLCzM7Og9lpFKahEChRPgBe5iGS+cjRwVAkIgLwHTSvjNE4hYcRCOA30wqO2zeMQoxnM1Jw8M9e0InPgFsefu5K1Z9mySAC9KWrx4MSIiIhAaGoquXbta4LVrSRZuGsIdGrASMv/+EbM+DENitymY6dMC1Q2n5NMmCXBUFY5EwSENOXpPnz59LDD3bBKVdMoKCIgybgWDICIIASsnYFoJv3UNlxKB+8l68vemGh59vBY4JXnaHQkcl5+OLe+zz65xWDnzrOIOeKDB2/jvpol4ep0PWtV/FvVbvYFxG5/E+HUrsHDIC9AYPfwpXOkCtn82E0sSuyBkZn80q56/gC3Tt9++sc8tr1PgyD21a9dW/G85wVRKSor9QpGeWzUBUcatenhEOCFQqQRMK+GPOaFRcw0u/3oGuvweJ3QVv+0/DGiaoL6z2CErdSQroXFDWDmO+cxWcTc3N8TGxpZRkuIWbuavMhNJOz7HpMVJ6BQ0GYOaafIXkH0bJ8Bzz/DKnxNMcShNCWlo44Ou8u4ZK+PVqlVTHiA5Jr4kqFL5wIr4QsAMAqaV8Bot0OO9LsDaYHz8v/04d/0egFtIPR+LiIVTMWbeabi8+wbca1czQwy5VM0EOOZzTEwMevfujdatW4Mtk2XzFXdAtccb4GXv7ujh/RIaPVk9O+NmXjqGLJsXOk3ETJ+WKNQTPP0Uvp3zDaIT7+a9WPZsigArNpx1MzAwENOnT1fco8r+IGhTaKQzVkqA5yy79HE0Ff6d5Ggqooxb6WCJWEKgvAmUaI1nRgLtDOhMGiUyipI1PDtSioZc+s6ng0kZJarGFgrZc3SUkowfRwbw9PRUoqhERUUVeUlycnKR54o9ob9I2ye4EzTdKeRIchFxwW/SicV9SQMX6hvyLe3cF0tnU+8VW62cVD8BnlPBwcHKb5Ovry+VeY6pH4X0QEUE+DfTEP2Ho6pInHEVDZ6IKgTMJODA15dI0afbSDx+GNFHj+Nsyl1A44TGzdzwmrsLHq9mP/64Dg4OKCmyEnG1wUJs3Vm9erUSK9fX1xdBQUFKenJDVw8cOKC4D7BPOS+2K/mWhdT9s+DdLhQI+B4Rn/wLjgWmHiEj/mv0dh2GzWlGNbsMQMhXwRjf7hnIOxsjLjb4lV/v+/v7Y8OGDUpUlQEDBuTJzmmDXZYu2QABnrchISFK1KkxY8bg/fffB1vNZRMCQsB2CZRcCYce6deuIvVOVkEaDg/D8R+P20XSHlHCCw5/UUf4pjJ69GjodDrMmzcPvJiTj/HrV8PGiYA4BF2JtowTWNLFC6Oujca+iCl4TQlZmO/KjHisHPwmBm1tiIDvvsAUr2eBSwexdMJQjI3ri8gDn6BDLQ51KJutE+CHPU6aUqVKFXz55ZelfOCzdTrSP2slIMq4tY6MyCUEyoGAaUt6Jt3UbqLAvm6FuKMYXFM4eY99uKSIO4rpGZO/xNq1a3NcBDjxysKFC5V9/izdpqeMpFjaHXe1CDeUW3RmxRByhAv1W6GlXAeU7GRAaE0j56+hVSvW0JZ9WkrNyJsYqHSySGk1EOC04kuXLlXmGyeZklf9ahg1kZEJiJuKzAMhYPsETFvC9aexspcXBm16AB59X8drrs+iZgEXgHro5NsTLTWm13mWw3NEhVYplvCy4eaU4xMnTlRcBNauXask+ymdK4qpdgkZf67BYLeB2P76Khz5pj8aPHB/otKNaMx6vQs+iq4O1y7t0RRabNqmQ1PfUKya2xeNJLyhKbiqP8/zj92ilixZguDgYPDrfg5zuGLFCkyYMEHcVVQ/wrbbAWPLOLtZ8Xzl6EC88fzt0KFDyd8m2i4m6ZkQUCcBk88ZunAaBJDT+O2ULIZDxaJmkpkUKJJAeHi4smiTrZJsFbfYlnGWwn1dCZq+tPjETaNqr1Ps/B6kgSv5rtfSHZ7D+jQ6t/59ckID6rfubBFWdaMq5KvNEDh27JiycLhhw4bEf/xmixfFscVcNiFgzQSMLeO8APmzzz5T5q+bm5tlf0utGYLIJgRsjIBp0/Ujj6O2E1Dt0Rp4qIAFvDwfPO4hMWYl/No7g63PDg7OaO+3FJtjElF8WqAbiN+1zOg6BzgPnouf42+Up7BSdwkJ9OzZU0ny88QTTyjWcPOS/BgaJdyO24g5S5LRLWQqfHLihhPST65DwEc74TTqYwT0bnR/3YJDDTg1boT/QwoSUm+ZmE+GNuTTFghwOM2tW7cq1sSLFy8qXbp+/botdE36YOMEeJHm0qVLld/PHTt24MMPP1R6zFlkz58/b+O9l+4JAdskYFoJr/kyRs4dherr1mPjyRRkVhAH/cUf4N91FeCzCbosAmXFILh2FEZ1XYg9N4pSw+/h4sap8Bi4F7WDY5BFfJ0Om1rFYrDHVGy8yDHOZatsAvwqlePkRkREKEl+unbtambCCgfU+Kcv1u1fiznG6evTj2P51FnY4jQMn33YCU6Gh0hKxO5v1uKgpgMGvPZ/kGWalT0jKrZ9zrrJC4YPHz4Md3d3xUXKz89Psm5W7DBIa2UkwG58HBufo0sZFrnzImTJGltGoHKZEKhMAiWx7OuvH6KQTnWVV1/8+rbAn2YMbU3KLElVJSxzh7RhvQleYaTNMrok6w8K83qFJkdeMTpo9FU570ROkyPputFhKuq4cZkSfpeFmSUEVcJiHMvZ399fmVO8gM5ybgGGWOGu5Bt+lnKXDWdSyr4Z5AZHcg86SNf1espIOUnbw4JonM8g8hn3CS3+/hglyaLNEo6g+ovxa36Obc//27yI2HJzUP1spAfWT4DzMRjmL7upSHx86x8zkVAIGAiYtoRTArZ9+B4m/ZwAaFzRZeAgDBqU7+/t+njMosGX03BBexZOreqhtrGEVZ5EvVZ3sTLiNxTqXFKlCYZG6KAL7oCahTzZJMaew6WijOiFlJdD5U+AreIzZszAsWPHFKv4Sy+9BItkPLx3Dr9ExOGBfhPwQdd6ObHBKTUK8/4TiiNuExE8yg01Lu3EjF6v4/Vhs/DDuVvQ6/Zgzluv4dURK3AyLX84ziykxvyIbSeTK+yNUPmPgLRgyLrJb2Y46+Ybb7wBtizKJgTUQMDYMs5uKuzqN3v2bLGMq2HwREYhYNDGi/xM2kojNSBHn9V05o6xWbrIK8w/UaTl+gpFTnYtaCE31aJSXwPyCvuDzO2BWMJNwS77ebZAGqzi/GmuRVJ/8zzFJ6bnCqRPon0B7QloTwH7kkh/T0sr+rkQNJ0pYPtf9xdt0j1KiQ0jHxcncgs8SMZLPPXXD1KQuyPBfQ4dvSWrlHPB2s43nnOhoaGKVZyzblp08bDtYJKeWDEBsYxb8eCIaEIgHwFjO3PhTyQP1cBjjwKPNayPOtVNFy+8klIeTdNBezyxlBcVVfweLm5aBP/jr2Okd31UUA+KEkaOF0OAfXXZKq7VahEdHQ1XV1ezLJIOmmfhUvuh7BazcOOXr+E3PRZuAR9jfFtHXIn4AuPWZqBbyGeY4l0vO9nUA3Bs2QND36mHI59vxWHD+gNKQcz/gjErugkmfNwP/6xhcDAvpkNySnUEeA5yCDhOIpWZmaksHp47dy44C6xsQkANBAqzjPMcFp9xNYyeyGhvBEzrpDVfxLDgkXhg81bs/PuW4hCuHkh6pJ1ai6nvn4bPqino8cyD6hHdjiVl9wCOYMFxxdu2bYuxY8da4AZyF8lXUvFQ839jxnuvwtEhCYd/iECqU2+M7tMM1fPwfhA1aj4EJKbg2i32X8rCjZgVmPppJOpMCMCHXs4QFTwPMJvb4SyuhkgUYWFhygMhv+qXTQiohYCxMr5lyxbFTUWUcbWMnshpLwRMK+FZOhz7JRE1/5iJN5v9C13fHYzBg/P9DZmH/an5/WfNQKhxRuMWTmZUwJeyAr4S73WYAwT+F1M7PFMiK/j9cIgcErHwPzOFkstLSIAtksOHD1es4r///ruijJunBNXA/3UNwvYj0+H1dDUg6wrOHr4AdHoZL+RPY59xDkd2aIHmz8H5sarA7TgsnxqKn+u8h3kfdsTTooGXcBTVX4wVGQ4BFxAQAG9vb3Ts2NHMSD7qZyI9UBcBnsO7d+9WoqmIMq6usRNp7YBAPveUgruZsTS/taZgRBTjKCkWj45y3/e7QJQTKup4frHvku6XRTTIqTkNCjuex683f8nS7otPeGmJWaY8R61g9uyna5nV/5do+7iWhOYzKTqPf/ctOrNiCDmiHnUPO0n3qKgoK5bpl9SiHgI878aMGaPMQ16zYJl5qJ7+i6S2QYB9xj08PJR5zOsfZB7bxrhKL9RJwLQlvGpLjP31Johjbhf1d3MB3nzKktGWNajTuD4KRDPRX8W52Gto0dgZmqIekPQXsWtqVzi/tAW1F23A50ObF122qDrkuNUReOeddxQ/XU41zqv/161bZ6aMT+NfI0aj27nFmPrZFpxMSERi4p84uj4QI0Z/jYxuk/Bpn0bIOrkGUydtg5PvVEzplhtlpdjG0//E/t1aXMvk+5xstkKAI/ksWLAgZ80Cu0rxPBR/cVsZYfvoh1jG7WOcpZcqIWCtzw5ZF8JpqLElO0tHv4QOIienKRR5vagYJ6l0NKQLAc1paPg5syOhFMZGLOGFUanYY+Hh4YoVp3fv3mZGr0gn3d651NfF+E2Phhp0C6ZIXTrRnTha3K0ewWUchZ+/Y9TJTLqp3UYL/AaRh2t76js+lMJjL2fHIjdYzl8hv8jLJDFUjLDZ2Feeh02bNlViNB87dszGeifdsRcC5ljGOZpQUFCQmb/D9kJa+ikEChJg67aVbtdJGxlGkz2cFIWLlV+nQSEUflSXq1xnhzJEtmKepQ0jL2M3mfzfi1XgS4ZBlPCScSrvUvwKlV1TeDzMS7Cip4zUMxS9PZxWrVhN4RG/kk4JxWlwS3Ghfiu0dC+nQ+mk2zmD2mtA0LhSl4GDaGAXV9JoulDQwct068SX1E2jIRffcDovCX9yqNnqF56HnCCF56GENLTVUbaPfpVWGWcFfPjw4crcd3NzE0XcPqaJ9NLCBKxYCbdwTy1UnSjhFgJpoWoiIiJyrJGc+dAym57unVlF/RxBjv1W0Zl7Bnu2nu79uY6GuGhI0346bT+fdt/SnXGZ9gV6kabLGJrU26UQy7llpJJarJcAzz1+M8O/D5bN/Gq9fRbJbJOAQRnntzzFGThECbfN8ZdeVSwBUcJLyVuU8FICq4DibI00LJiziAKkv0yRfq8QHIfQijO3cntgOK7pTQtiU/O4mmQcDaEGypuX/Jbz3Mvlm+0TYAWGlZdmzZoRf5dNCKiVQEmUcVbEJ02aJFZwtQ6yyF3pBBxYApW4r1uFmBy6UJBZxVAUEILT3ffv3x/Ozs6YM2cOWrVqVaBMSQ9Qug7Hz1bF88//IyflPVIiML7h6/h28HacCPVGrZxQhYRb+z9F03afIq3fKhz5pj8aPHAL8d9+jT11e2Gou3NuHSUVQMqplgAv1Fy9ejVGjBiB3r17IzAwEBz7XjYhoDYCPJd/+uknJUSnXq9XPrt37w4OISubEBAC5hMwHR0luw1Kv4iYbcsxx28UBitxwW/h9LYV2BiXhEzz5ZAahIDZBFjpjomJgbu7O1q3bo1p06blRK44cOBAqep3qO6MF4wVcL767i2kptZDu5cbwzFHAed3I1fwy7afkeA4BPNnvIUGDwDpJ9dg0rCx+HD+amyOjELcX6nyf1KqEVBvYUOMe866yZF8GjdujNmzZ1sg4ZR6mYjk6iTAc7lnz55KrHx+mOQ/zmQsUYHUOZ4itRUSKIktXp9ykEK6NVH8HVnlAEZSuO7C/TjLms4UsDMhOzJESWpTdxlxR1HH+HG0Ck9PT8U1wM/PT5m7CxcuNE/45O00zlFDzQMPUq6TSial7JtBbjlxxYno3kkK617P6P+F/2daUt+Q3aSTxZrmjYEKrzaeixxRRTYhoFYC7H7Cc5jdrUz5jKu1jyK3EKhIAqZ9wnP8YHtRyL6TtHc2B/lnJTyDMnQ/kZ+bYyEJTyqyCxXblijhFcvbnNb4hhEYGJhHGU5ISDCjyusUO78HaTSvk9/aKDqljaN9381UQhxqun1JJ+7wAk5DVJW61D7gJzp/J4v0dy7QwQUDyBESttAM+Kq+lOciL3IzhDS03CJiVWMR4VVKQJRxlQ6ciG11BEwr4dcjabITyNF3K13W36SjIblKONEd0oZxRIDutPhkrm3Q6nppQYFECbcgzAqqypBt87nnniOOpmLWlnGB9oYMIBfj8JeavrT4xE0iKiqqCpFh4WbdkfPp+1UraNWW/aRNzQ18aJZMcrFqCPAiYs62yb8jvJiY92UTAmolIMq4WkdO5LYWAqZ9wm9dw6VEoFYDJ6OFaAa/mmp49PFaAK4j7Y7ecFA+hYBVEeBsmxcvXsRnn30Gb29vjBo1quz+udWeQbsPVuC31Es4tz0AzVEXnYImY1AzDZBxGuumfYq1MPiGZzuOUwqORvyMPwGkHt2B8O3rMbf/a3D1moR18Wm5rNL/RtzvyeI7nkvE5r5x1s0ZM2Zg7969+Oabb3Kyv0rWTZsbarvoUFE+4xs3bsxZj2MXIKSTQqCMBEwr4Y85oVFzDS7/egY6tt8Yb3QVv+0/DGiaoL5zdeMz8l0IWBUBjpjCyjgvlktOTlaUH75RlG2rguqP/wPPeU3Gtv1rMG9oS9RAOv7e+gVmrM1At5nj0btBjeyqCbd/W42AWQfh4vst4qK2YOXKLYg6sQEDL8zHiE+24e/s/yvKvIdLP07Dv+dE4GxaVtlEk6usnkBKSgo++OAD3LhxQ5F16tSpcHNzQ2kXD1t9R0VAuyFgrIwHBATA399fmdOijNvNFJCOlpWAaZO8IQSDDHIAACAASURBVA13a/JZ8iN95/8KAQPpq+gjtH3+EHKBhlxGbSGdIZ+J6QpVXULcUVQ9fDnCG1xUOMGKeX7i2VXeOkwh7o6U6xueffxOHC3uVo/gMoG26ozcT+4eo/mvOBLaLqaTmTli8apOSjkRTh/7TqMVRy8pC571N/+g7wMHkKujG/UN3ETam3kuML5YvquEAC8S5t8SzjjILimhoaHKvmTdVMkAipjFEjBeA8GLOHkxJx+TTQgIgbwETPuEc/mMBNoZ0Jk0xn6wyncNufSdTweTMvLWasN7ooTbzuCy8sNKD49pcZnhStbjLLpz/hfaH8++4YbN8ADrSr7hZ40iCGXQ5e1+1AR1yWtxHN01FDf61N85T/sW/4eGzDlIKfeuUtyug6TVnaNjYb70+vwYo+gsRhfJV1URyK+Y8MOgIQ04K+WitKhqOEXYQgiIMl4IFDkkBIwImE7WQ8mIP5aCWs87ISP+KKKPHsfZlLuAxgmNm7nhNXcXPF7NOGhyWW3y6rhOkvWoY5xKI+WOHTswfvx4JcnPF198YaHEKoT0k0vR9+X/4I+B32DnwrfwbPb/CaXuxSfeb2F6tQ8Rvf0/eLlm1SLEzUR6OlC9elVkXkvBLY0Gd7dPxUs7vRAzzxu8GkM22yPAbikjR44EJ0eZN28evLy8bK+T0iO7IsBrHjZv3ozp06ejSpUqymfnzp0l6Y9dzQLpbKEEjBTywr9mHKWQBiA08CLfkDUUGfs33bTjWMdiCS98mqj9KFvFOVoFj+/SpUstYIVMo5NhA6mB4xBaccYocpA+ifYFtCegPQXsS6LivLj0N/+iuPhkytBfpSOLR5CbBqRxG0MrTlwr9jq1j4XIT8r8M7hMcbx7CWkos8IWCIhl3BZGUfpgSQKm3VH0SRS7PoR827soCgorKRrXfuS/ZAtFa5NICY1sSYmsvC5Rwq18gMwUjxOrGGI583ezNv11+iv+spEbiiGxjyO5BeyhlOI0cNJTenQQ1eu7jv7mcvrzFO7TjQKjU80SSS5WFwHjh0MObcj7sgkBtRMoTBlXe59EfiFQFgKmo6M4PIWWfT7A4sjfcEV7EOELJqMz9iDQtxvcG9dH864TseDbI0jMZB1dNiGgbgKtWrVCTEwM3N3d0bp1a0ybNq3sobYcaqKey9Oolo2EbhzGYr9QHHGbiP+ObwvHYr24HPDA03XRKuUCLl67h8zUc/hDe0fdcEX6UhPgkIYLFiyAVqtFdHQ02rZtKynDS01RLrA2AhxNhaNV8W8tR1Lhv/bt25c5QhC7u3DUIdmEgOoIlEVzp4zrdP7o9xQyyD17seb9DJplqktlF4klXGUDZoa4xunGzbaKcyKfs5togocHTdh+sYTuJOmkiwymbg0099Pez9lPScVaz83orFyqCgK8mNNib2pU0WMR0h4IGCzjfH/18PCgqKioEnebr+UFzW5ubpaJdFXilqWgEDCfgGl3lDxtZNGdK1o6GL6AJvd2y1bAncjNJ4xib2blKWmrO6KE2+rIFt4v/oFnH3Eed0u4A+jT71B6KRVp/Z1rdPWm/UQgKnwk5KiBALukBAcHK3NSQhoaqMinLRDguW0I11lSZdwQ7pN/o7t3724LGKQPdkTAdHQUntnpiTh+cB/2bF2DBfO2KJn/NG4+8PPtjc4d26LlszVzXrmr7lVAKQWW6CilBGYjxePj4zF69GjodDqJWGEjY6r2bvCc5Nf4GzZswNKlSzFgwACJNqH2QRX5FQLsWsIZZSdOnAgPDw8EBgbi1VdfLZQOu6KMHTsWcXFx4ORAderUKbScHBQC1kjAtBKeFYcFbm0x7lgaoHFD7/HDMaiLJ9q2qW9XoQkNgydKuIGE/X3yj/3q1asxYsQI+Pr6IigoCOyzK5sQqEwCxiENWRkvSlmpTBmlbSFQFgIlVcb5t5kzIYsCXhbKck1lEjC9MBMO0LR5DwvCD+LPhAP4dsa/8ebLDexSAa/MgZK2K58ALyYaPnw4EhISlB98XiTHlhfZhEBlEmCl+8iRI4rVkOdknz59wFZy2YSA2gmwkWPChAnK7223bt2UhcmFLeDk32ZRwNU+2vYpv2lLuH1yKbLXYgkvEo3dnVi3bh369euH3r17IzQ0VG4CdjcDrK/DbDn86KOPsGTJEgQHBysPjfK2xvrGSSQqG4GSWsbLVrtcJQQqnkChSnhW/HqMD9qD54ZPxwevpGL9+Fn48Ya+aOmqtMbw0DF4zbGozH9FX6q2M6KEq23EylfeCxcuKG4prPSsXbtWCbtVvi1K7ULANIHY2Fh88MEHyhoG9qft2bOn6YukhBBQCQFjZdzT0xOffvqpuGGpZOxEzLwEClfC4xbArdVivLg1Eks6X8n1Cc97be6eZgy2np2LN58SJTwXinyzJwI7duzA+PHj4ezsjC+++AKNGjWyp+5LX62QAPvJGlKFy7y0wgESkcwmwMr4V199BT8/P4gybjZOqaASCBTqE1615Vj8Sn9gyZvOQNWWGPvrTQ5lWPTfzQV2oYBXwvhIkyoh4OXlhaioKDz//PNo3LixcmNgJUg2IVBZBAwJUXhecvIpnpccRYIVlxUrVoDf4sgmBNRMgF2tJk+erPiM828wr4no2LFjmZP+qJmFyK5OAoUq4Xm6QlcQ9+MmbNr/F9LznOAdQvpf+7D6yw2ISc0qcFYOCAF7IsA3BM5uyEoP+4h37dpVFsjZ0wSw0r7yvJwxY4aSdfPSpUt44oknMHjwYPTo0UMUcSsdMxGrdAREGS8dLyltPQRMK+FZf+PnsW/hra+OIbWA3Jm4cng5Bvp+gd1nbdPqxz7gxn8FEMgBIZCPAEer4HTMBuvjtGnTIFbxfJBkt8IJsIvUt99+i86dOytt8xz94YcfKlwOaVAIlBcBUcbLi6zUW14ECvUJB13ED6NfR9clJ0rWrmYgVsR9hXfrP1Sy8iouJQszVTx4lSA6L5AbNGgQMjMzsWbNGrRq1aoSpJAmhUAuAX4g5MRTjz76KBYuXKhEUPn4448luk8uIvlmIwTEZ9xGBtKGu1G4Eg5CxtnNCJjxPXSZyTi5aRti/uGB3q8+i4fzw3j4GbTpOghD3mgCjUP+k7a3L0q47Y1pefeIlR5Dkh/OcMhxb9liI5sQqGwCxtF92IWKk1CxL7lsQsCWCORXxufMmSMGEVsaYBX3pQgl3KhH2RkzP3pxLc4ueRNPGZ2yx6+ihNvjqFumz5xAhS2QOp0O8+bNAy8kkk0IWAMBzrrJD4iXL1+WuWkNAyIylAsBY2WcE69NmjRJIlmVC2mptKQETCvhSk2EzLSLiNdeRn7Pb7p9GdrYVDQY+A5eljjhJeUu5eyUgLFVnBfGhYWFiVXcTueCtXWb5yaHNOQEVBzuTUJtWtsIiTyWIsDK+CeffJLjjiXKuKXISj2lJWB6YSaykHpoPnq1aopmbdqgTb4/t3ZdMHDqL7iaWdqmpbwQsD8C/Kq/adOmSsc3bdqEf/7zn9i4caP9gZAeWx0BQ0jD5OTknFCbvKiYFRbZhIAtEWB3QI5kpdVqFfcrDt85YsQIiWZlS4Oskr6YVsL1p/H9x7Ox5fILGOTvj5EedQFNe4ycPhUj27sA8IDfd5Pwuh0k6lHJmIqYVk7g2LFjORK+8cYb6NWrF/r06SPh4nKoyJfKJGCsoERHRyuxl9etWycRfipzUKTtciHAEYPMUcb57REr74sWLSoX+aRS2ydgWglPPoPDBxPhOHAKQqb7w29oOyDtSbzYdxoWb1mLBd0SsHFzLK6Q7cOSHgoBSxB4//33ldegHJmCX/knJCQosZvr1q0LVnZkEwLWQIAVlJ07d4LT3k+fPl2Je8/RfmQTArZGoKzKOCe/4oydY8aMURJg2RoX6U/5EzCthGfew500oFYDJ9RyeBBP12uIujgL7YU0OGia4823X8bpxeux89zd8pdWWhACNkKAFXH+461OnTpYvHgxIiIiFGWHM77xIk7ZhIA1EOjZs6cS954XErdu3RqjRo2StzbWMDAig8UJlFYZ9/HxUWRwc3NDhw4dLC6PVGj7BEwr4TWfwnN1gZQ/E5FCDnj4H8+iKZKgvXgNhCqo9uCDAC7ickqG7dOSHgqBciTASg5n23RxcVFSjLOFhV93yiYEKpsA+4tzenD2oWWfcX5rI/OzskdF2i8vAiVVxjkxG/9m87oeNqbIJgRKS8C0Ev7I8+jk0xapq2bBb9EBJD/TFO2apyJy/bf4IXonvv8+CtDUR92nWBmXTQgIAXMIsD8uW8X5h53jNnft2lWs4uYAlWstSoCVE866yfOTw2y6urqCwxvKJgRskUBhyji7oBi/qWRFXBRwWxz9iumTaSUcT6DtmFmY0+UWlv+gRerD/8TQeX5w2/sRur3yBsatT0f7KUPgVVeU8IoZMmnFHgjwDzunFXd3d1es4p9++qlYxe1h4FXSR56fR44cwcSJE5WFm7yw2FgxUUk3REwhUCICxso4v53kaCr5lfESVSSFhEA+AiWMEw4g8wYuJGaidt1aqIYMXDv7K3757RLg1AqvvvicXWTLZHaSrCffDJLdcifAi+EGDhwIvV6PNWvWSKa3cicuDZSGAIcw/Oijj7BkyRIEBweDk6BIRtjSEJSyaiPAD5whISE5izJ5fQ8r6rIJgdISKIElPLvKajVRR1HAef8BPF7/JXj36A7vl+xHAS8tXCkvBCxBoFWrVjlWR14Yx7GbxVfcEmSlDksQMLhQcejNHTt2KJZxiX1vCbJSh7USYIV76dKlyhoJsYxb6yipQ65CLeFZ8esxPuhH3ChpH6q0xvDQMXhNMmaWlJiUEwJlIsAWmNGjR0On00l68TIRlIvKkwArJJx1k0MaOjs7S9bN8oQtdVsNAbGMW81QqE6QwpXwuAVwazUOuSlFTPRLMwZbz87Fm3aQsEfcUUzMBTld7gRY0Vm9erWSJMLX1xdBQUHy+r/cqUsDpSHALipz585VYoxzDGVOES4uKqUhKGXVSECUcTWOWuXKXKg7StWWY/ErEaikfzcX2IUCXrlDJa0LgfsEOFwc+90awsW1bdtWcQMQPkLAWgiwwj1jxgxljl66dElJRmWcdZMfJCXxj7WMlshhKQJFuanwQ6lsQqAwAoUq4YUVpPSLiNm2HHP8RmHwkHnYn3oLp7etwMa4JGQWdoEcEwJCoFwJ8A8+h4sLCAiAt7c3OELFhQsXyrVNqVwIlIaAYY4aElFxUpNdu3YpkSV4fYOENywNTSmrFgL5lfEnnngCs2fPhijjahnBipOzREo4pUbjv307os2bQzBp9hKsWH4KV9Kv4ezPoejV1gczIi+IIl5xYyYtCYE8BN555x0kJCSgWrVqShIVtjjKJgSsiQAnouKQm8OGDYOnp6cSVYLlmzBhgjWJKbIIAYsSMFbGedGypZVxfqO0aNEiWahv0VGr2MpMK+GUhN3BH2DSrmYI2XcSe2d7ZEv4D3j6fQa/pocwffxKHL1NFSu5tCYEhEAOAU4WweELDRZHiducg0a+WAkBdqNipZsfGNmFirc33nhDFAgrGR8Ro/wIsDK+c+dOJcmVpZRxVsA5VjmvueBP3pdNfQRMK+E3TyBixUE4DvTBoLbP4hGH3E5Wc/LAUN+OwIlfEHtOJkAuGfkmBCqHAFscOZshW1w4oURRqcX5B5vTkIv7SuWMkz23yg+M+/fvx48//oi9e/cqWTdZMZFNCNg6AU5yZSllnH/D4+LiFGT8mZycbOv4bLJ/ppXwW9dwKRGo1cAJtYwU8Ps0quHRx2sBuI60O3qbBCSdEgJqI2CI28xW8dDQUHTt2jVPNkODBYWTTfTs2VMUcbUNsI3I27lzZ0URN6xp6NixY555aiPdlG4IgQIELKGM8+88x+Pv3r278skPt7Kpj4BpJfwxJzRqrsHlX89Al9/jhK7it/2HAU0T1Heurr7ei8RCwIYJGPxw3d3dFas4h4yTV5Y2POAq7Bq7qPCaBrbiPf/888o85WRUsoBNhYMpIpeagLnKOCvemzZtgijgpUZvNReYVsJrtECP97oAa4Px8f/249z1ewBuIfV8LCIWTsWYeafh8u4bcK9dzWo6JYIIASFwnwArORwqjrMZcoY3jk7BoQ0XLFigxBdnS4r8gMtsqWwCbNXjOclzMzo6ukBIw8qWT9oXAuVJwFxlvDxlk7rLmQCVZMtIoJ0BnUkDsC3c6E9DLn3n08GkjJLUUkFl7pLu6Aqa7OGULacTeUz+H206qqMsC0jA/ZdNCKiRwO3btyk0NFT5v/D39yfel00IWCOB8PBwatq0KXl6etKxY8esUUSRSQiUG4GoqChl7rO+wb/ZycnJ5daWVFy5BArNmFmo3k+3kXj8MKKPHsfZlLuAxgmNm7nhNXcXPF6tgLN4oVVUxEH9xY0Y4fYlnpw1A+PffRFOSMTh+R+iR8gzWHUqEB1qmjb+FyenZMwsjo6cUwMBzuo2evRo6HQ6zJs3D+y2IpsQsDYC7Dq1cOFC+Pn5gTPDfvTRR/LWxtoGSeQpVwIcR9/f3x979uxR1vcMHjxYMs+WK/GKr7zkSngRslHan9i9+iAe7NMfbR2rFlGqog6nI37ZIDRe/zq0Pw1FI4O+rT+FZZ2HQeu3GcEdnjRLGFHCzcInF1sJAVZwVq9ejREjRigKTlBQkPy4W8nYiBh5CfBDIysiGzZsUFyqBgwYAHazkk0I2AsBUcZtd6QNamrBHmbqcGjZNPRp4wyHR19En2krcCjxbm45uoWE/V9iVIfX4Ol7AEnp/Ja7src0XNCehVOreqht3LMqT6Jeq7tYGfEbblS2iNK+ELACAqzEDB8+XPHB5UVxHLdZwsRZwcCICAUIGLJucuhNfnPj6uoqc7UAJTlgywTYZ3z37t1K+NktW7YoayZ4ob0sYFb/qBurqrm9oauInv1vdBoWiA0xiUDaEWwIHIxOg/+HuNsESjuB9RPfwvPtfPHlHw0wcvG7cH+qsq3gAPRXcS5Wl9uPfN8SY8/hkkRSzEdFdu2ZgEHBMYSJ69+/v/yw2/OEsOK+syJy5MgRTJw4Ed7e3uCEVKKEWPGAiWgWJ1CUMm7xhqTCiiNQqEt60lYaqQFpuoXSPt0t0mck0/GwoeSIljTmmzUU1L4uAbwoM4R+0iaT1SzLvB5Jk51ATpMj6Xqejl2hyMmuBK8w0ppYnZl34anxIlT5LmxkDsgckDkgc0DmgMwBmQMyBwrOgTxqZwl3Co0rmPn3KexMqwvPt7uirVMNOKAGmr89ACP8l2H24P6A5nX4fRcCv+7N4GhFizIt8ehCVLxbjfiEW4Ky1GEuAZmH5hKU6y1BQOahJShKHZYgIHPREhSljrIS4PlXlq1QJfx+RQ/isUceQk61NR7DUzUAaHpjQdT/8H7Lx3PPlaXl8rhG44zGLZzKo2apUwgIASEgBISAEBACQkAIWIxA4T7hxVXfpRd6vGCFCjjLrCzAdC5S+gILNossKSeEgBAQAkJACAgBISAEhED5ESi9Ev7QA7BeDxQN6jSujwILMJUFm9fQorEzNOXHUmoWAkJACAgBISAEhIAQEAIlIlCMO0oW7lxLQmJidpGsq7iRBeDONSQlJuat3OFhOP7jcVTP8V3Je7ri9qqjofc7GOr/MYKWv4jPhzaHRs/JembB/3gfrNrQCKV/6qg46aUlISAEhIAQEAJCQAgIAfsgUGiynsyYOWjSZhL+LDGDkQjXLUJPp2J0+hLXZW7BG4jf9R3CZvhj9p77DwtOg0KwaOwA9HB1MlsJl8Uf5o6PXG8JAjIPLUFR6jCXgMxDcwnK9ZYiIHPRUiSlnrIQKOv8K1QJz4pfj/FBP5Y8sU2V1hgeOgavVXrGzLKgK901ZQVdulaktBAonoDMw+L5yNmKISDzsGI4SyumCchcNM1ISpQfgbLOv0KV8PITU/01lxW0+nsuPbAmAjIPrWk07FcWmYf2O/bW1nOZi9Y2IvYlT1nnnyjh9jVPpLdCQAgIASEgBISAEBACVkBA1ilawSCICEJACAgBISAEhIAQEAL2RUCUcPsab+mtEBACQkAICAEhIASEgBUQECXcCgZBRBACQkAICAEhIASEgBCwLwKihJdkvPWJiPnGD+0dHMDO9w4O3vBb9gNiEu+V5GopIwTMJHANMXPehLPfrgIRi/SJh/GNn3f2vHSAQ3s/LNscg0S9mU3K5UJAIcAhX5fBr71zzhxzHjwXP8ffyMNH5mEeHLJTXgTS4vHznMFwzr4XFzYXIffr8qIv9eYhcA8XN74PZ+ep2HXD+IZ7D4kxK41+M53R3m8pNsckwriUoSpRwg0kivy8h4ubgtB1OeBzVIcsImTpAlB77xR0nRdVQCkqsho5IQTKROAGTn0zC1O//7Xg1frz2OQ/GssxEEd1d0F0F7rgZ7F31EjM23O1YHk5IgRKRYBvMlPhMXAvagfHKL99lKXDplaxGOwxFRsvZhshZB6WiqoULiMB/XlsHNcfM690x56bWSC6jj3dr2Bm4/6YE3Mtu1K5X5eRrlxWSgL6iz8g4P3PkS91Jfi4f9dVgM8m6LIIlBWD4NpRGNV1IfbkUdazGyTZiieQ9QeFeTUgr7A/KMuoZJY2jLycplDkdeOjRgXkqxAwk0CW7hdaPvk9CvklisK8nMhpciRdN6pTmYPoTWHaO0ZH75A2rHeBskYF5KsQKBkB5bev4LyjfMdlHpYMp5Qyh0AWXY+cQk7577n55uL9uSn3a3NIy7UlIHDzOIUNeoU8PFwJeebk/fsvvMJIa6waKvP0FZoceaVA5WIJN/X0k6aD9vjjaFXvyTzZNqvUrodW2IGIoymmapDzQqD0BPSnsNxnOrTeUzCxzROFXK9H2oUzOO7UEPVqP2h0/kHUrtcQWLkTRwt76jYqKV+FQLEEqjTB0AgddMEdULOQgomx53BJL/OwEDRyyOIEqqBmh5nQ6WaiQ81i1Ba5X1ucvFSYn8A1xCz5EP7VfDG1f/18J9NwQXsWTq3qobbxNK3yJOq1uouVEb8V8J4wLpavMtllAvpL5xCb/31DDhodYs9dLdTPJ6eIfBECZSFQpQ46L1+HmR2eyfPwl1vVPVw6d6bAq7Cc84lncO6SrFnI4SFfLEygBrz6voKGVWQeWhisVFdSAvpEHJ4/C/7He2LR2LbKg6Lcr0sKT8qVjYAeaTFf44PQelg0vTueq5qvFv1VnIvV5TuYu3vfcJG7z99ECc/LI99etpUn31HZFQLlT0ADJydNMc3cf+IupoCcEgLlQIB9bhfB//jrGOldH1Ug87AcIEuVxRJIR/yyPnCo6oyXJv6KTpP6wd2J3wbK/bpYbHLSfAJpR7Hkg33osjUQPZ8xfgOdXbXyJqZIq22h7YsSXigWOSgEhIAQEAJ5CeiRdmotpr5/Gj6rpqBHYTehvBfInhAoBwLV0WjotyAlSEIontnSG64jNuJiYaEnyqF1qdJOCSgLg0djW5cp8HV93GIQRAkvFmUVaOo0RItiy8hJIVAZBDSo0zi/P1plyCFt2gcBVsBX4r0Oc4DA/2JqjpuUzEP7GH/r7GUVJ098OM0HWLYOEWfuyf3aOofJBqTiN4AheP/sAMzxbYMi31FrnNG4hVOp+lutVKXtsLCyALNIps4FFmzaISLpcqUQuL8As8ipWWDBZqUIKY3aBIF7SDy8FB/2WAIErsXnQ5sb3YRkHtrEEKu+E2ehvZCGKm3qoVWRP4pyv1b9MFdWB/RnEfHlRiTuSUSbRycWkMLzseXwCtuFn4byAkznAucNBwos2BSfcAOaYj6VJ5trBRZg3l8AUh+N6xT5TFRMpXJKCJhLIPstTYEFmNkL5Vo0RB2NvOgyl7LdX6+/iF1Tu8L5pS2ovWhDPgWc6cg8tPs5UiEAsv3ACyRGyW7cyQvebWoBcr+ukNGwu0ayI0WxC1Tu3x1ow3oDTlMQef0CIoY24V9D5Q11gQWYyoLNa2jR2NnIgHGfotylTc2mKvXhPfJ1HPcPwfJT97PE6RMPYH7QXByf7Iu3G1U3VYOcFwLlQqBKQ0+MHPoH/IPW41QaO0SyxTIMQf5nMdmvGxrJf3e5cLefSq8hJnQkPGfpMDT8f5jVs0mBGwizkHloPzOi8npaHY36fICQxjvwzXe/Iy1bEH1iJD6bsQOdAvvjRQ5dKPfryhsiaRlAdTT0fgdDj89F0PIT9+dpThSfPvB7u1GBaChymzY5cR7EM15jsSrwSaxs+piSurmqsy9iW3yKrePvh0UyWYUUEALlQaBKXXj5zUdg7TVo+mhVODg8BOceh9Fi0ZcY7/FkebQoddoRAX38RkydtA3ACSzrVQ9Vs1OFOxg+DVZJmYd2NCsqsauaFzFxzZfonhKCRtlzsGr/nWg4bY3RGxq5X1fiCEnTbJR4piP8Vk1A7ZVeeJTnaVVn9IhtgUVbx8CjkBj3Dpy+R8gJASEgBISAEBACQkAICAEhUHEExBJecaylJSEgBISAEBACQkAICAEhoBAQJVwmghAQAkJACAgBISAEhIAQqGACooRXMHBpTggIASEgBISAEBACQkAIiBIuc0AICAEhIASEgBAQAkJACFQwAVHCKxi4NCcEhIAQEAJCQAgIASEgBEQJlzkgBISAEBACQkAICAEhIAQqmIAo4RUMXJoTAkJACAgBISAEhIAQEAKihMscEAJCQAgIASEgBISAEBACFUxAlPAKBi7NCQEhIASEgBAQAkJACAgBUcJlDggBISAE1Ejgxi74OTsgJ428IZ18vk/n/wTjM29nOPvtwo1K7Wc64pcNgPeyU9BXqhzSuBAQAkLAOghI2nrrGAeRQggIASFgHgFWypt4YuW7kTgV3AE1zautHK6+il1+/jg3bB6GNqpeDvVLlUJACAgBdREQS7i6xkukFQJCQAiok8CN3xBx8kW0bSgKuDoHUKQWAkLA0gRECbc0UalPCAgBIWBNBPSnsMzYHUVxtnxuywAAA8pJREFUY3GG95zvEDFnMJwV9xVntPdbiZjEq4j/eS4GZ7u5OA/+HIcT7xn15h4SY1bCr71zthuMN/yW7UJ8mikHEz1uHN2Dkz1fQcOi7jpp8di1zA/tc9xpSlq3kXjyVQgIASGgIgJF/RyqqAsiqhAQAkJACJSOQCJ2TFqKXfWnIJ4IWbpv4H7YD22c2yPoxIv47AKBbh5HIJagh/8PuKjo2PdwceNEuHbdidrBMcgiLvNfNN47Dh7jNmWXKUqKFByNSELPtvVQ+E3nGmKWTMTAvc9j8c0skCLTB6i68t8Y8228+JAXhVWOCwEhoGoChf8eqrpLIrwQEAJCQAiYIuA02Q8f9WwCDYAqTq3R8UVnwGsCPhr3Kpz4zqBpiLb/aorEn45Cy5buG1FY8P5GtAicgnEvOt1XpjXNMXThfLz700ws2HO16CbZFSW8FurVfrDwMvpLiPv5FFr86yU00ty/LVVx6oSZu88gYmiTIhT3wquSo0JACAgBtRAQJVwtIyVyCgEhIAQqjQC7k+zEykRntKr3ZF6lWOOMxi10WBnxW5HRV/SXzuFkr45oU7OIW06V2mjZqQl2+H+NTYd3YeOueKRVWl+lYSEgBIRAxRAo4hexYhqXVoSAEBACQqAyCDihRWNnxQpeutZjMNvzqbxhEas2xbAdicVUk44zUYfRzPuFYiK2PA7XD9ZAu+olXAsPRi/PxnjUgf3Ul2FXfOUGViymY3JKCAgBIWAWAVHCzcInFwsBISAE7IlAb4Rp7yg+2+y3bfynKyosov4cojY+De82tUyAqolGHXpiaHAEiO5Cd3QRulyaC0+Pz7DrhqmFnyaqltNCQAgIASskIEq4FQ6KiCQEhIAQsC4CVVCzTUe86/QHDpy4nHehZNphzGnfsMgkPPozB7GxmUfRriiFdvRBOLn2wL8Hd4VT4hmcu2QcoaXQC+SgEBACQkB1BEQJV92QicBCQAgIgUogULMtxi76F356PwDzDyfeV8TTTmHjjGmYhPcws0+jvL7iioh6pF04B5hyfVHCKDZEe7+NueEO0+KxMyIGGPoOvCW2eCUMuDQpBIRAeRMQJby8CUv9QkAICAGbIPAgnuk5E3tW/QuX/FxRleN5P9obm58aiaNr3oNrdlSTvF01FZowu3SVJvBZvh5jntoMj0er3vc5z657a+CbeEbuVHmxyp4QEAI2QUDS1tvEMEonhIAQEAJCQAgIASEgBNREQOwLahotkVUICAEhIASEgBAQAkLAJgiIEm4TwyidEAJCQAgIASEgBISAEFATgf8H4Rh1bhPq7MMAAAAASUVORK5CYII="></p>
<p>Deduce, giving your reason, the order of reaction with respect to iodine.</p>
<p><img 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Kpj7fy9TVSjYfatsWdM/5dG6/OXxcajj8U95f59j8REdO4jQIAAAQIEPoRAJn+9p/zzMplMYb//h2jDUwhMIpD/MrWtcc3SN+OBvid/jysrTdK8uwkQIECAAAECBD4WgYmyQo1/IvGxuOmEAAECBAgQIECAAIFxAoLEOBA3CRAgQIAAAQIECBA4v4CtTec3UoMAAQIECBAgQIBAXQvY2lTXy2/yBAgQIECAAAECBKonYGtT9Sy1RIAAAQIECBAgQKBuBASJullqEyVAgAABAgQIECBQPQFBonqWWiJAgAABAgQIECBQNwKCRN0stYkSIECAAAECBAgQqJ6AIFE9Sy0RIECAAAECBAgQqBsBQaJultpECRAgQIAAAQIECFRPQJConqWWCBAgQIAAAQIECNSNgCBRN0ttogQIECBAgAABAgSqJyBIVM9SSwQIECBAgAABAgTqRkCQqJulNlECBAgQIECAAAEC1RMQJKpnqSUCBAgQIECAAAECdSMgSNTNUpsoAQIECBAgQIAAgeoJCBLVs9QSAQIECBAgQIAAgboRECTqZqlNlAABAgQIECBAgED1BASJ6llqiQABAgQIECBAgEDdCAgSdbPUJkqAAAECBAgQIECgegKCRPUstUSAAAECBAgQIECgbgQEibpZahMlQIAAAQIECBAgUD0BQaJ6lloiQIAAAQIECBAgUDcCgkTdLLWJEiBAgAABAgQIEKiegCBRPUstESBAgAABAgQIEKgbAUGibpbaRAkQIECAAAECBAhUT0CQqJ6llggQIECAAAECBAjUjYAgUTdLbaIECBAgQIAAAQIEqicgSFTPUksECBAgQIAAAQIE6kZg2gSJbH9HtGUy0dzeHUOTLV/2eHS0NUemeUt0D2UnqXUm+jtWRCazINq7T09SJ2K69xesIsKxkP8LMN2PdfPLL/KF+Nro2Cv8A3RBro3XRq+NpbdHjs/iX9OqvQctudbQj0wul8vlx5vJZKJUrKHhGyoBAgQIECBAgAABAh+1wERZYdp8IvFR42mfAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEQJBILJQIECBAgAABAgQIEEgpIEikhFKNAAECBAgQIECAAIFEoIaDxOnobl8QmUxm4v+a18Sul/tjOJmrEgECBAgQIECAAAECVRKo4SBREmi6Lw69MxK5XK7iv3ei76HZ8eKyL8XdXX8X2SphaYYAAQIECBAgQIAAgaJA7QeJCVdyZsxdfk/cv/mT0fHooXhTkphQyZ0ECBAgQIAAAQIEPqzANA0SFRzH3oy3hstJ4v0Y7O2M9sXNpe1QbdHe0R39o48Xn5cd7I2uXWuieXTb1Ph62Rju746O9rZkW9Xi9ujortxKNb5Ocyxu74ju/qHS4LIx1L0lmjMr4rHunnhitK15sWbXgYoxnYn+jhWRyayIjv4zFRNTJECAAAECBAgQIDB1AtM3SGRPx4nXByLmzYkrG/PTfD9Odt0T82/5Ucza0Rsj+a1Q7343Wg7fHa13Pxcny1lj+EjsXrk+np9xZ/SOFLdLjQxsihmdd8b6R44Wz7kYPhqPrN8ch1u+G+8WtlS9FwP3fyo6l26NZwpv9rMxfLwzNrTeHYdnfTMG8u2M9MaOWYdjVcvK2NX724oVfzbu3HYwLln3bGFr1sjA7pj94oakr7g45q59JnK5Z2Lt3IsrnqdIgAABAgQIECBAYOoEpmeQyA7GkT3fia0H/0msXb805uRnOfRKfP+urpj3wH1x98KmKEy88bpY+4M9sfql7fH9ntMRkY2hI8/F7r5lsWbdH0dTSaeh6V/F7as/Hz0vvxED2YjswBvxcs/VsejGOdFYWLuLomnJt+LHo2/2344jf/2DePnm/xjb776h2E5DUyz8i+/Gvs2n4t4tXdFfDi4xPzbff08snzuz0FJD0x/FFxd+erSvqTs09EyAAAECBAgQIEBgcoHaDxKD34mll85IthjltyPNaI5bX58XDx09GI8t/0w05APC0R9F52BzXH/V5cUQUTZpbI6WeQPReeBnMRQNMXPJ9hgYeCAWnvpJdHV1RVfX30RH+59Hy7pny8+Ihubr4qbWV2Lr3h/Gke4fVmxXKlUZ+lkc6ByIeTd8djSMFB9pjCtbro4Ys91qtNlSIU2d8c9xmwABAgQIECBAgMDHK1D7QWLMVZveib7990VrLIvVS/51/PEflT55GDXtjZ1LrxgXOq6NdQcHR2vE8BvRseZfxCUtK+MHP/2/EdEQn27bGUf33pYEgMaFsemFntj3hd/E/m13xtKWSyOTSc6jyJ46Ea9XNJk0XioNvhknTr1/1t3uIECAAAECBAgQIFArArUfJMZI56/W9B9i3/5/Hp23r4uvP/7GuO+RuC329v2u4jKxySVjB3YsiZlxJvqf+Xase3lR7H/rRPx4xx2xfPnyWL5kdrzT98sxPUXj3Fiy/I7Y8eOByI0MxNH9N8WprUujdVtPDM+6Kq5vGlt9zK2mOXHVrIvG3OUGAQIECBAgQIAAgVoSmGZBIk9/Ucy+9b7Yd19zPLnu6/FI4cTmhpi54IuxuukX8eobvxr7vRLDR2LX4jnR1nE8sjEcb+UDw7zPx3VNFW/0s/8vfnv6vcnXtaEp5i+/Pdasnh+Dr5+IU42fi7bVzXHs1Z/H4Oi5EPmnl9svnwA+eZMeIUCAAAECBAgQIHAhC0zDIJHfjTQ7lmzZFg+2vhb3bvrr6M1f3nXmjfG1hxbFS3d9M/YcGSyGieHj0bXt/rg3NsT2FXOjIS6LBW3Loung0/F4z8lincKJ29+MuzreGF3HbH9HtOW3MnUdL33ikb/U60/iwJEondx9WSz8ysa46aVvxZY9r5bCxFAc72iPVTtnxYPbl8fc6Sk/aqRAgAABAgQIECAwvQWm79vZxgXx73fdG609D8am7YdiMHtRzF6+PXr2LYpT7fNjRv6k7Etui+evWB9Hn9oQ8wuXiG2Ima0b44XHr4//ufTKYp0rvx4/+Wdr4rn9m6O8W6lh7qp4/Oj6uOL52+KSwndNzIhLWp+PKzY+Gg/cmj+5uyEar1kdD/fsiUWnvh3NMzKRyVwTX+27Ifb1PRWb5n/6AxxVvkfiA2CpSoAAAQIECBAg8DEJZHK5XC7fVyaTKZw78DH1qxsCBAgQIECAAAECBGpEYKKsMH0/kaiRRTFMAgQIECBAgAABArUoIEjU4qoZMwECBAgQIECAAIEpFhAkpngBdE+AAAECBAgQIECgFgUEiVpcNWMmQIAAAQIECBAgMMUCgsQUL4DuCRAgQIAAAQIECNSigCBRi6tmzAQIECBAgAABAgSmWECQmOIF0D0BAgQIECBAgACBWhQQJGpx1YyZAAECBAgQIECAwBQLCBJTvAC6J0CAAAECBAgQIFCLAoJELa6aMRMgQIAAAQIECBCYYgFBYooXQPcECBAgQIAAAQIEalFAkKjFVTNmAgQIECBAgAABAlMsIEhM8QLongABAgQIECBAgEAtCggStbhqxkyAAAECBAgQIEBgigUEiSleAN0TIECAAAECBAgQqEUBQaIWV82YCRAgQIAAAQIECEyxgCAxxQugewIECBAgQIAAAQK1KCBI1OKqGTMBAgQIECBAgACBKRYQJKZ4AXRPgAABAgQIECBAoBYFBIlaXDVjJkCAAAECBAgQIDDFAoLEFC+A7gkQIECAAAECBAjUooAgUYurZswECBAgQIAAAQIEplhAkJjiBdA9AQIECBAgQIAAgVoUECRqcdWMmQABAgQIECBAgMAUCwgSU7wAuidAgAABAgQIECBQiwKCRC2umjETIECAAAECBAgQmGIBQWKKF0D3BAgQIECAAAECBGpRQJCoxVUzZgIECBAgQIAAAQJTLCBITPEC6J4AAQIECBAgQIBALQpMmyCR7e+Itkwmmtu7Y2iylcgej4625sg0b4nuoewktc5Ef8eKyGQWRHv36UnqREz3/oJVRDgW8n8Bpvuxbn75Rb4QXxsde4V/gC7ItfHa6LWx9PbI8Vn8a1q196Al1xr6kcnlcrn8eDOZTJSKNTR8QyVAgAABAgQIECBA4KMWmCgrTJtPJD5qPO0TIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAICBKJhRIBAgQIECBAgAABAikFBImUUKoRIECAAAECBAgQIJAITJsgke3viLZMJprbu2Momd/YUvZ4dLQ1R6Z5S3QPZcc+NnrrTPR3rIhMZkG0d58evXd8Ybr3F6wiwrGQP+6n+7FufvlFvhBfGx17hX93Lsi18drotbH0rsjxWfxrWrX3oCXXGvqRyeVyufx4M5qyW8EAAAUHSURBVJlMlIo1NHxDJUCAAAECBAgQIEDgoxaYKCtMm08kPmo87RMgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAgIEomFEgECBAgQIECAAAECKQUEiZRQqhEgQIAAAQIECBAgkAhMmyCR7e+Itkwmmtu7YyiZ39hS9nh0tDVHpnlLdA9lxz42eutM9HesiExmQbR3nx69d3xhuvcXrCLCsZA/7qf7sW5++UW+EF8bHXuFf3cuyLXx2ui1sfSuyPFZ/GtatfegJdca+pHJ5XK5/HgzmUyUijU0fEMlQIAAAQIECBAgQOCjFpgoK0ybTyQ+ajztEyBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCAgSiYUSAQIECBAgQIAAAQIpBQSJlFCqESBAgAABAgQIECCQCGRyuVwuk8kk9ygRIECAAAECBAgQIEBgAoFcLjd67yfypco7Rh9RIECAAAECBAgQIECAwCQCtjZNAuNuAgQIECBAgAABAgQmF/j/JXqFTlPzWk0AAAAASUVORK5CYII="></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>When the reaction is carried out in the absence of acid the following graph is obtained.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Discuss the shape of the graph between A and B.</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>use a colorimeter/monitor the change in colour</p>
<p><strong><em>OR</em></strong></p>
<p>take samples <strong><em>AND </em></strong>quench <strong><em>AND </em></strong>titrate «with thiosulfate»</p>
<p> </p>
<p><em>Accept change in pH.</em></p>
<p><em>Accept change in conductivity.</em></p>
<p><em>Accept other suitable methods.</em></p>
<p><em>Method must imply “change”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2017-09-19_om_18.04.57.png" alt="M17/4/CHEMI/HP2/ENG/TZ1/01.a.ii/M"></p>
<p>best fit line</p>
<p>relative rate of reaction <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \ll \frac{{ - \Delta y}}{{\Delta x}} = \frac{{ - (0.43 - 0.80)}}{{50}} = \gg {\text{ }}0.0074/7.4 \times {10^{ - 3}}">
<mo>=≪</mo>
<mfrac>
<mrow>
<mo>−</mo>
<mi mathvariant="normal">Δ</mi>
<mi>y</mi>
</mrow>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mi>x</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mo>−</mo>
<mo stretchy="false">(</mo>
<mn>0.43</mn>
<mo>−</mo>
<mn>0.80</mn>
<mo stretchy="false">)</mo>
</mrow>
<mrow>
<mn>50</mn>
</mrow>
</mfrac>
<mo>=≫</mo>
<mrow>
<mtext> </mtext>
</mrow>
<mn>0.0074</mn>
<mrow>
<mo>/</mo>
</mrow>
<mn>7.4</mn>
<mo>×</mo>
<mrow>
<msup>
<mn>10</mn>
<mrow>
<mo>−</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math></span></p>
<p> </p>
<p><em>Best fit line required for M1.</em></p>
<p> </p>
<p><em>M2 is independent of M1.</em></p>
<p><em>Accept range from 0.0070 to 0.0080.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">a.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Relationship:</em><br>rate of reaction is «directly» proportional to [H<sup>+</sup>]<br><em><strong>OR</strong></em><br>rate of reaction <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\alpha ">
<mi>α</mi>
</math></span> [H<sup>+</sup>] </p>
<p><em>Order of reaction with respect to [H<sup>+</sup>]:</em><br>first</p>
<p> </p>
<p><em>Accept "doubling the concentration doubles the rate".</em></p>
<p><em>Do <strong>not</strong> accept “rate increases as concentration increases”.</em></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>zero order</p>
<p>rate of reaction is the same for all concentrations of iodine</p>
<p> </p>
<p><em>Accept “all graphs have same/similar gradient”.</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>slow rate of reaction which gradually increases</p>
<p>as H<sup>+</sup> ions are produced «to catalyse the reaction»<br><em><strong>OR</strong></em><br>reaction is autocatalytic</p>
<p> </p>
<p><em>M1 should mention “rate of reaction”.</em></p>
<p><strong><em>[2 marks]</em></strong></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.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>
<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>Sodium thiosulfate solution reacts with dilute hydrochloric acid to form a precipitate of sulfur at room temperature.</p>
<p style="text-align: center;">Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub> (aq) + 2HCl (aq) → S (s) + SO<sub>2 </sub>(g) + 2NaCl (aq) + X</p>
</div>
<div class="question">
<p>(i) Using the graph, explain the order of reaction with respect to sodium thiosulfate.</p>
<p>(ii) In a different experiment, this reaction was found to be first order with respect to hydrochloric acid. Deduce the overall rate expression for the reaction.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>i</p>
<p>first order<br>«because» [Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub>] is «directly» proportional to rate of reaction «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{1}{{\rm{t}}}">
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<mi mathvariant="normal">t</mi>
</mrow>
</mrow>
</mfrac>
</math></span>»</p>
<p><em>Do not accept “linear” for M2.</em></p>
<p> </p>
<p>ii</p>
<p>rate = <em>k</em>[Na<sub>2</sub>S<sub>2</sub>O<sub>3</sub>][HCl]</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p>Calcium carbonate reacts with hydrochloric acid.</p>
<p style="text-align: center;">CaCO<sub>3</sub>(s) + 2HCl(aq) → CaCl<sub>2</sub>(aq) + H<sub>2</sub>O(l) + CO<sub>2</sub>(g)</p>
</div>
<div class="specification">
<p>The results of a series of experiments in which the concentration of HCl was varied are shown below.</p>
<p style="text-align: center;"><img src="images/Schermafbeelding_2018-08-07_om_11.18.37.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/X04.b"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline <strong>two </strong>ways in which the progress of the reaction can be monitored. No practical details are required.</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>Suggest why point D is so far out of line assuming human error is not the cause.</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>Draw the best fit line for the reaction excluding point D.</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>Suggest the relationship that points A, B and C show between the concentration of the acid and the rate of reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the rate expression for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the rate constant of the reaction, stating its units.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict from your line of best fit the rate of reaction when the concentration of HCl is 1.00 mol dm<sup>−3</sup>.</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>Describe how the activation energy of this reaction could be determined.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><em>Any two of:</em></p>
<p>loss of mass <strong>«</strong>of reaction mixture/CO<sub>2</sub><strong>»</strong></p>
<p><strong>«</strong>increase in<strong>» </strong>volume of gas produced</p>
<p>change of conductivity</p>
<p>change of pH</p>
<p>change in temperature</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “disappearance of </em><em>calcium carbonate”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “gas bubbles”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “colour change” or </em><em>“indicator”.</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>reaction is fast at high concentration <strong><em>AND </em></strong>may be difficult to measure accurately</p>
<p><strong><em>OR</em></strong></p>
<p>so many bubbles of CO<sub>2</sub> produced that inhibit contact of HCl(aq) with CaCO<sub>3</sub>(s)</p>
<p><strong><em>OR</em></strong></p>
<p>insufficient change in conductivity/pH at high concentrations</p>
<p><strong><em>OR</em></strong></p>
<p>calcium carbonate has been used up/is limiting reagent/ there is not enough calcium carbonate <strong>«</strong>to react with the high concentration of HCl<strong>»</strong></p>
<p><strong><em>OR</em></strong></p>
<p>HCl is in excess</p>
<p><strong><em>OR</em></strong></p>
<p>so many bubbles of CO<sub>2</sub> produced that inhibit contact of HCl(aq) with CaCO<sub>3</sub>(s)</p>
<p> </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><img src="images/Schermafbeelding_2018-08-07_om_14.39.56.png" alt="M18/4/CHEMI/HP2/ENG/TZ1/04.b.ii/M"></p>
<p>straight line going through the origin <strong><em>AND </em></strong>as close to A, B, C as is reasonably possible</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>directly<strong>»</strong> proportional</p>
<p> </p>
<p><em>Accept “first order” or “linear”.</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “rate increases as </em><em>concentration increases” or “positive </em><em>correlation”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>rate = <em>k </em>[H<sup>+</sup>]</p>
<p> </p>
<p><em>Accept “rate =</em><em> </em><em>k [HCl]”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>0.02</p>
<p>s<sup>–1</sup></p>
<p> </p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>20.5 <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> 10<sup>–3</sup> <strong>«</strong>mol dm<sup>–3</sup> s<sup>–1</sup><strong>»</strong></p>
<p> </p>
<p><em>Accept any answer in the range </em><em>19.5–21.5.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong><em>ALTERNATIVE 1:</em></strong></p>
<p>carry out reaction at several temperatures</p>
<p>plot <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{1}{{\text{T}}}">
<mfrac>
<mn>1</mn>
<mrow>
<mtext>T</mtext>
</mrow>
</mfrac>
</math></span> against log rate constant</p>
<p><em>E</em><sub>a</sub> = – gradient <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \times ">
<mo>×</mo>
</math></span> R</p>
<p> </p>
<p><strong><em>ALTERNATIVE 2:</em></strong></p>
<p>carry out reaction at two temperatures</p>
<p> </p>
<p>determine two rate constants</p>
<p><strong><em>OR</em></strong></p>
<p>determine the temperature coefficient of the rate</p>
<p> </p>
<p>use the formula <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ln \frac{{{k_1}}}{{{k_2}}} = \frac{{{E_{\text{a}}}}}{R}\left( {\frac{1}{{{T_2}}} - \frac{1}{{{T_1}}}} \right)">
<mi>ln</mi>
<mo></mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
</mrow>
<mi>R</mi>
</mfrac>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>−</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span></p>
<p> </p>
<p> </p>
<p><em>Accept “gradient </em>= <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{ - {E_{\text{a}}}}}{R}">
<mfrac>
<mrow>
<mo>−</mo>
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
</mrow>
<mi>R</mi>
</mfrac>
</math></span><em>” for M3.</em></p>
<p><em>Award both M2 and M3 for the formula </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\text{ln}}\frac{{rat{e_1}}}{{rat{e_2}}} = \frac{{{E_{\text{a}}}}}{R}\left( {\frac{1}{{{T_2}}} - \frac{1}{{{T_1}}}} \right)">
<mrow>
<mtext>ln</mtext>
</mrow>
<mfrac>
<mrow>
<mi>r</mi>
<mi>a</mi>
<mi>t</mi>
<mrow>
<msub>
<mi>e</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mi>r</mi>
<mi>a</mi>
<mi>t</mi>
<mrow>
<msub>
<mi>e</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
</mrow>
<mi>R</mi>
</mfrac>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>−</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span>.</p>
<p><em>Accept any variation of the formula, </em><em>such as </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{rat{e_1}}}{{rat{e_2}}} = {e^{ - \frac{{{E_{\text{a}}}}}{R}\left( {\frac{1}{{{T_1}}} - \frac{1}{{{T_2}}}} \right)}}">
<mfrac>
<mrow>
<mi>r</mi>
<mi>a</mi>
<mi>t</mi>
<mrow>
<msub>
<mi>e</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mi>r</mi>
<mi>a</mi>
<mi>t</mi>
<mrow>
<msub>
<mi>e</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>−</mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mtext>a</mtext>
</mrow>
</msub>
</mrow>
</mrow>
<mi>R</mi>
</mfrac>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>−</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</mrow>
</msup>
</mrow>
</math></span>.</p>
<p><strong><em>[3 marks]</em></strong></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.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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.iv.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</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;">The thermal decomposition of dinitrogen monoxide occurs according to the equation:</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p><span style="background-color: #ffffff;">The reaction can be followed by measuring the change in total pressure, at constant temperature, with time.</span></p>
<p><span style="background-color: #ffffff;">The <em>x</em>-axis and <em>y</em>-axis are shown with arbitrary units.</span></p>
<p><span style="background-color: #ffffff;"><img src="images/2.PNG" alt width="564" height="283"></span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">This decomposition obeys the rate expression:</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" - \frac{{d[{{\text{N}}_2}{\text{O]}}}}{{dt}}">
<mo>−<!-- − --></mo>
<mfrac>
<mrow>
<mi>d</mi>
<mo stretchy="false">[</mo>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<mtext>O]</mtext>
</mrow>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
</math></span> = <em>k</em>[N<sub>2</sub>O]</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why, as the reaction proceeds, the pressure increases by the amount shown.</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, in terms of collision theory, how a decrease in pressure would affect the rate of reaction.</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;">Deduce how the rate of reaction at <em>t</em> = 2 would compare to the initial rate.</span></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><span style="background-color: #ffffff;">It has been suggested that the reaction occurs as a two-step process:</span></p>
<p><span style="background-color: #ffffff;">Step 1: N<sub>2</sub>O (g) → N<sub>2</sub> (g) + O (g)</span></p>
<p><span style="background-color: #ffffff;">Step 2: N<sub>2</sub>O (g) + O (g) → N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p><span style="background-color: #ffffff;">Explain how this could support the observed rate expression.</span></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><span style="background-color: #ffffff;">The experiment is repeated using the same amount of dinitrogen monoxide in the same apparatus, but at a lower temperature.</span></p>
<p><span style="background-color: #ffffff;">Sketch, on the axes in question 2, the graph that you would expect.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The experiment gave an error in the rate because the pressure gauge was inaccurate.</span></p>
<p><span style="background-color: #ffffff;">Outline whether repeating the experiment, using the same apparatus, and averaging the results would reduce the error.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The graph below shows the Maxwell–Boltzmann distribution of molecular energies at a particular temperature.</span></p>
<p><img src="images/2f.PNG" alt width="637" height="309"></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">The rate at which dinitrogen monoxide decomposes is significantly increased by a metal oxide catalyst.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Annotate and use the graph to outline why a catalyst has this effect.</span></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the standard entropy change, in J K−1, for the decomposition of dinitrogen monoxide. </span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">2N<sub>2</sub>O (g) → 2N<sub>2</sub> (g) + O<sub>2</sub> (g)</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><img src="images/2gi.PNG" alt width="325" height="154"></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Dinitrogen monoxide has a positive standard enthalpy of formation, Δ<em>H</em><sub>f</sub></span><sup>θ</sup><span style="background-color: #ffffff;">.</span></p>
<p><span style="background-color: #ffffff;">Deduce, giving reasons, whether altering the temperature would change the </span><span style="background-color: #ffffff;">spontaneity of the <strong>decomposition</strong> reaction.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">increase in the amount/number of moles/molecules «of gas» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">from 2 to 3/by 50 % <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;">«rate of reaction decreases»<br>concentration/number of molecules in a given volume decreases<br><em><strong>OR</strong></em><br>more space between molecules <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">collision rate/frequency decreases<br><em><strong>OR</strong></em><br>fewer collisions per unit time <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Do <strong>not</strong> accept just “larger space/volume” for M1.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">half «of the initial rate» <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;"><strong>Note: </strong><em>Accept “lower/slower «than initial rate»”.</em></span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">1 slower than 2<br><em><strong>OR</strong></em><br>1 rate determinant step/RDS <strong>[✔]</strong></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">1 is unimolecular/involves just one molecule so it must be first order<br><em><strong>OR</strong></em><br>if 1 faster/2 RDS, second order in N<sub>2</sub>O<br><em><strong>OR</strong></em><br>if 1 faster/2 RDS, first order in O <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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width="541" height="253"></p>
<p><span style="background-color: #ffffff;">smaller initial gradient <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">initial pressure is lower <em><strong>AND</strong> </em>final pressure of gas lower «by similar factor» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[</span><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">no <em><strong>AND</strong> </em>it is a systematic error/not a random error</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">no <em><strong>AND</strong> </em>«a similar magnitude» error would occur every time <strong>[✔]</strong></span></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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H16PifJSzBogFm+fFlgOTzMj9C0cWNZ/6a1ogERERERJTbW2BNRSA+OekjWLH9dxejxnf7CbKl/fT11nRLPI8Melo6trfKJfel7pUPvjkzuiYiIiPIB1tgTURD01N99d49AUo+e+ifHPKGGdVPiwlr3wyY+IKl97pcj6fulYMZh6dU/VS1fSERERESJizX2ROSCidU6d+6sJloD9NSvXL1aqtSorK5T4mvfravcOWiwitFzP77fOJk3f4G6TkRERESJhzX2RBSAifIwazomWIN6tW6SYeNGqZ5eyj/KFy0sowb1l7RH0+RwyhH57dCPMnzIQLWcIRERERElHtbYE5GCnvo7Ov9fIKmv36CezHhxPIff52O3dbhDHn10vFq+EKZPGc1h+UREREQJiDX2RKRq6p8cONOV1E+cOJnL2SUBLFs4YORwyTxSSA5mpMjDfYbIM1Pm2LcSERERUSJgjT0RSZvWrWXDltdUjJr6uXPnc/h9EkFy/8ycZ1Sc8c8BefSxkay5JyIiIkogrLEnSmLoqe/Wq6fs2rlDXUdPPdY7p+Rz3bUNZOTosWpYfoHMo/LYuDHyn7fW2bcSERERUTxjjT1REvOuU4/h95S89LB8wGz5D/Ttw3XuiYiIiBIAa+yJklTHju0DSX3ZImfIrFmzOPyeVHLfd4CzFF6PHl2Y3BMRERHFOdbYEyUZDL8f0KefrF9nJWvoqX/uvX8zqaeATvfcKe27p6oYNfdpT4yRbb9tkgMHDqhtRERERBRfWGNPlGQmPzNbVq1YqeIKFaupdeqrlq2jrhMBVkMYdF/PQHKP1RLubtRDdn/3i7pORERERPGFNfZESSJjzy9qpvP506eoXlhMkpY2bDjXqSdfSO5HDeqvJlSEPem7ZfjYIfLNnj/UdSIiIiKKH6yxJ0oSS1e/LQ89NEjFJUuVlmnTnpb611tJG1EoWPrwyoZNVYzyjXGjBqqYiIiIiOIHa+yJkgAmP3vw0aFqGTP01A9+dDiTeopYz3HDpULFSipeM+9lGTZmgoqJiIiIKD6wxp4on/tw62bp1T9VCmYcVte7DuktbZq1UDFRJOqWP03WrntbjfSQEkVUOcczU+aoiRiJiIiIKO+xxp4oH0NPff9uvdWyZbL/kFrGLLVTV/tWouhMnjDFSu6PeWTqI/LV5m0qJiIiIqK8xRp7onxs+tzJsmvnDhW36theUnsyqafsQ/kGyjgAI0AwEoS99kRERER5jzX2RPkQkq1uvXoG1qrH5Gf90karmOh4oIxDL4OHkSBtWrdmck9ERESUx1hjT5QPjX90tKxZ/rqKa9W9RCZMeETKF+WIFcoZWAavVctWKsaIkAdHPcTknoiIiCgPscaeKJ/BpGZLli5RMWYyn/HvGVKuXFl1nSinPDB0iFSvWUvFaER6Y/UaFRMRERFR7LHGnigf+c9b62TcM3NVXLbIGdJrYF8m9ZQr8L4aNm5UYDK94UMGyqIVy1RMRERERLHFGnuifAIz4Pft2kMyf/9WDqcckUn/nsBl7ShXXVa9tpopv/gJxdT1iUPTZNMnW1RMRERERLHDGnuifAD1zWlPjJGMfw7IkfT98sCwoWoGc6LchvdZ1769VbwnfbdMemwM6+2JiIiIYow19kQJDkkUJi/b+qnVU3pjl//jWvUUU53uuVPqN7AakrASw+RnZquYiIiIiGKDNfZECQ5JlJ4Bv3rdmjJi4AMqJoqVYsWKydy589VkjTB/+hSZN3+BiomIiIgo97HGnihBoaceyROSKEBS9dLsFzlZHuWZx598UlKKnKnif497TD7culnFRERERJS7WGNPlKC2//qDPDZujIr1DPjoOSXKK9WqniuDenVRMertJ6eNVTERERER5S7W2BMlIPTW39eum+xL36uuPzBxAGfApzyHhqV7U++WWnUvUddRbz9szAQVExEREVHuYY09UYLRk+WhRxRatWzFpJ7iypKXFrnq7bG+/YEDB9R1IiIiIsp5rLEnSjDmZHmNmt8oDwwdomKieJI2LC2wvv3ksZNk93e/qJiIiIiIch5r7IkSCCYj05Ploa6+S89unCyP4hLWt29xbycV79q5Q6Y9NVnFRERERJTzWGNPlCA2fbJF/nVrTxVnFi8kk/49QS6rXltdJ4pHg+7rKdVr1lLxkqVLuAQeERERUS5hjT1RAkBd/bC0B+W3Qz/KkfT98mDPB1WPKFE8w2R6L730gpQsVVpdHzd8pKx/c4OKiYiIiCjnsMaeKAFMGzNLtm78VMWN77pdzTxOlAiQ3N8/YJAcTjkiGf8ckOlzJ6uGKiIiIiLKOayxJ4pzmFH82aXTVIyZxjs/OEzFRImiQ/u20uTmZirGEngLFi5WMRERERHljFxN7DHkMp6GXbLGnhIN/v883GeIFMg8KkUyC8lTL0+SuuVPs28lShyPDHs4MCR/4sQxas4IIiIiIsoZ2U7sv/tsu+pJxCzdJgyxnDJ1plSuUkk6dmmvfs6tXEWGjZmQ58MvWWNPiQT/XzBsGcOXMYy576AHpWrZOvatRIkFqzdMnjBFLYGHhqo+992nPkeIiIiI6PhlK7FHkn5Pj3tkUGof+eCtjfZWC9bYnjQuTQodde8aS3R17tw5T5N71thTIkFdPYYtA4Yxs66eEt05V14sTZo1VTGWwHtt7RsqJiIiIqLjE3Vij954JOn4UgZbtn6iLgFJ+4oX59vXRPXMoCZY2/rpFhkxdrx9LfZYY0+J4j9vrZO5i6eqGMOXMYyZKNGVL1pYHhg6JPC5MGHM+KBRX0REREQUvagSewybXGAk7vhydvn5de1rIm+sXiP70veqGMnI06/Ml7Xr3pYXXl8a+CL38Ztvy7bfNqk41lhjT4kAdfV9u/ZQMf4fTX9hthrGTJQf4L3ca2Bf1fBbsMBh6d+td56XaREREREluqgS+18L7JOd23epuH6DerJo8WLX8OAXX5hnRyLN7mgvl1WvrWJcdu3eU8V70nfLD1v+UHGsscae4t2BA9ZyYLquvnPX7oH/R0T5RZtmLaTFvZ1UjNFf4x8dzeSeiIiI6DhEldijnh49LDBx4mRXLyISEgy113rZX9q0Gxo3siOR7z7/zo5iizX2FO9mP/u8q64+tWdXFRPlN/iMqHzumSpetWKlfPq/z1RMRERERNGLKrHX9fQYHuwdGvzy0lftyP928/qOP/bYUWyxxp7iGVaZwMSTwLp6yu/wmdC9b385UjBFjVCZ9NhE9toTERERZVPUk+fBSSVK2JFj1cqldiTS6Jpr7Si+sMae4hUmEJs41ErqUXvMunpKBhiS36b5rSrGiC8MySciIiKi6GUrsf9z/347sqCXZcf2H+1rIi1vbmNHDkwIplU6uZwdxRZr7CleLZwxV80/Aag9Zl09JYtxj08MTK66ZOkSNXKFiIiIiKITVWLfoN416hIz35uJ+toP3pVd//tSxRhCXLBmFRWb5ix7zo5EqlerakexxRp7ikfz5i9QCQ1gUkrv/BRE+V3asDQ1UgXmTJ/FIflEREREUYoqsa9ap1rgy9fgUYPV8OGNu39WX8SkRBG1vUat8+XCAu7dDhszQd5fuVbF6Jk5pY5131hjjT3FG/wfGjd8pIrxf8s7KSVRMqh/fT1p0qypijEkf/Izs1VMRERERJGJKrGvUek8qV3PGiKMJYra3dhSOtStF5gNP/NIIWnStKUUL3equv78/BlS+7waMn/6FDU5EjS86WapWraOimONNfYUT9ArOWrAMPV/AxOIPfT4aCb1lLQeGDpEjfiCZccSezR6EREREVFkokrsixUrJr0GDwzUQ3rd0KKxdGjf1r4msm3nH4GEHho1vzFPhxmzxp7iyYKFiwONYo1vaip1Lr9OxUTJCI1amDQSI1fwudG/W2/57rPt9q1EREREFE5UiT1gUq/XV74m7bunSpHMQmobEv0xUx6XGZOnqutatYoV1SV6YdIeTVO352WPJGvsKV6gN3LSg8NVnFLkTJk0doKcU+5kdZ0oWeHzpWWHlirGqLDZyxepmIiIiIjCSzl6jB3nOAw1/mrzNlU/mddwLp07d1bx8uWcdZnyDt6LbVq3VokLeiefmTZMLr3+dvtWouRm/f/ocOz/x5dStPhRmfHEC3HxGUJEREQUz6LusY8Geufj6QsZa+wpryFpwVrdSOoBS9sxqSdy4HOj18AeKj6YkSJpT4xRMRERERGFlmOJ/YEDB9T6w/hB8hKPWGNPeQ0jWBYtf1nF1WvW4tJ2RD7aNGshrVq2UjHmocDKKviMISIiIiJ/2U7skbxj/e27bkmVs885W2pdUEMGpfZRP0heYMrUmWpW/AF9+sXFDMessae8hP8zWCayQOZRNQT/7u6dOQs+UQjdho4ITNSKWfLf3/iRiomIiIgoWLYS+2/2/CH9+vWSoUMfkA1bXlOJiumECtZa93///Zea3XjJ0iXSvV0nmfH8SrU9r3Ade8pLD456KDAEv2vf3qpXkoj8YTLJrt17BmbJn/TYxLgdDUZERESU16JO7PHFqnPr5rJ+3QYpdLSA+tKFH3MJvH92WUMm9x5yatr3pe+VscN75mnPPWvsKa9gdMsby1aruH6DepLas6uKiSg0LJ9au15tFWNI/hur16iYiIiIiNyiTuzNib9QI/zQ46Nl81efyYQZT6htoHvsRw3qL3Ofnq8SGUDP/uS0sXnW68Iae8oLeL/PnD5VChY4rBrBunfsZd9CRFmZOHFyoOF4+JCBah4XIiIiInKLKrFHb/uat99SMZL6JyeMCAwn1r30YMaYFb/X4IHq/vDlBztk+68/qDjWWGNPecEcgo9Z8Ll0F1HkMA/F8JGjVKMYzJk+i0PyiYiIiDyiSux3fLtdDamHm2/vIVWq1VEx6F56MGO4rHptuaNdBxX/duhH2f7xVhXHGmvsKdYWzntR1ix/XcVo3MIoFiKKznXXNpArmjZUMYbkL1i4WMVEREREZIkqsf9g9Tp1iZ6Tbnc2VbEWqsdeu6FxIzsS+WXffjuKLdbYUyytf3ODjBk/TsUlS5WWYeNGqZiIotelZzf1/whmzZwu3322XcVEREREFGVivy/zoLosdXo5dWkK12MP5rJeu/fnTWLPGnuKpaWvLlIjXA6nHJH/u6mbGrlCRNmD/z+TJ0xRMf5f3dPjHhUTERERUZSJfcmCRdXl3/sPqUtTVj32Zk3kGftPtqPYYo09xQom+Fq45BUV17zwIun44F0qJqLsw/wUrVq2UjHmrZgydSbr7YmIiIiOiSqxP71yZXW5J3130LJ1WfXYm8sUnXyhNZwy1lhjT7GARCNt6MjALPgYgl+sWPD/CSKK3gNDhwRmyZ/75Jw8m4yViIiIKJ5EldjXvfBSOxJZOGOuHVnC9dgj0XnxhXkqzixeSKrWqabiWGONPcUCZsHXk0wOGDmcQ/CJchDKurp276liTMaKJVSJiIiIkl1Uif1F9WsHlq1btWKlzJu/QMVeZo89kvrJz8xWMxlDzTPPk8qnnKniWGONPeU2DMF/f+VaFVevW9M1aSQR5YwO7dtK/QbWspHr120I+VlERERElCyiSuwxnFgvW5fxzwF56KFB0rFje5XMmNBjj6H6w8ZMkFsaN5P5060Jj2DQAw+5JtKLJdbYU26bPHaS+r8BowY/kmfvdaL8buLEyYEh+eOGj1SrUBARERElq5Sjx9hxxJCwm8l6pEaOHqt6WvICRg507txZxcuXuxsiiHLCgD79ZMnSJSruO2CwpPbsqmIiyh3oqR8+ZKCKGzW/UR4Z9jAb04iIiCgpRdVjr40a1F8l6bq3JCsYvp+XSb3GGnvKLRi1opN6vN+Z1BPlPpS6XNmwqYpRAmNO0kpERESUTLLVY6+hF3ztB+/K6pWr5KN33g9MGAYlS5WWGrXOl1tuv10aXn5VnveisMeecot+b2EeCcyCP23a02pZLiLKfdt+2yS3XXGnKoFJKXKmzH/535ywkoiIiJLOcSX2iQTJV7t2LdWSd0zsKSdhLe1J49JUjDW2xz0+UcVEFBsYMTMotY+KMane3LnzVUxERESULLI1FD9RcR17ymmYJHLmpCdUjFEqrQc/oGIiip02zVqoGnt495VVqvb+wAH3sqtERERE+VlS9di3ad1BLXnHHnvKCdZ7qrXs2rlDXV+9aolUqVZHxUQUW5gVv0ePLmpIPuZ/WbBqlZQvmr+WOMXfHJS/QZlipeX3A1b5WzTxGYVPlfNqV41JeRx+J2lPjJHSpYurVQxiVZKH1+nT/312XM8XjbZ//LxP7aPS2ZVZ3pHL8F758a9fVHzTtY3VKkyJqFuvnvLj9l1qBam8nleKiJKPb2KPJeyikZJSUo4e3WdfC75uKlqylHTp2S3mH5L4oGeNPeUkDMFHbz0SCQ7BJ8p73rKY4UMHSvFyp6rr+YH5/LILI4uefvZZqXNRLXtL7sBnbtPGjdXcO7FcJQQjNX44+KU0u/I+OXroB/V8p78wO+g7B+73yfrNsmnbp77nZq64gAka58yZpuJkoxNujIrJTZdcdHFgnqYXXl8a1w0peE2+++V738QdDUJdbmmvvhfMfXo+59shopjyHYq/ft2GqH7eW7sy7HXzBzMXY537vMB17Cmn4MN71szpgd7B27p1tG8horzSptPdUqvuJSrGKhWvf5C/1rbf+P7bdpR9Z5x1lpxZoYJ9LXcgqe/Xr5dK1GK9Sgh6ek/4ubQUzvhZXT+pRAmpfMqZKtZwfiOGPCQdeneUDzZusreGVqREih0lD3zGofcZo2C2fPqVvTX3nHjsn+b9fcULvG9S+w+SXv1TZd0G//+LaJC4qkVzFQ8eNVg9hogoVlhjT5QNC2fMDfQutL2jPYdpEsUBDL2fOGqomh0fJg5NUwlKfvHVlm/tyJokEKMS2ndPjeoSQ4Rz25JVH8q7770vR9L3y82397C3xs5Jp54shcuerOI/9++X7b/+oGIN54eGn4IZh0OOLkx2y5etljXLX1eN14X25H7F5oklitiRBP2+4sWChYtl1aKXXCtA+bnn3nZqpAjK9MY/OprzfRBRzPgOxccQtD+PlJAyKeny+9FSEV3+nVIgy8fgPoVLFs6T5e/Qasoae8oJ5hBNzsBNFH+GjZkg86dPUYnlnYMGy6hB/e1bEhc+w+pddql9TeJ2mC/OEyvQbP/6B9Vb/9JLL8RdvfTCeS/K4KGDVRzqb7j5dx4TM86YPFXFyWJUv/Eyd7H1nNEolNv/h8yh+Bs+/CjPl0j2Y5bChHtPIJHvO7C/ahgJVQpCRJQbfHvsUTfU7c6mcluHOyK+jOQxuA/qtPLqDzaSeqLjgS+tM6dbH+b4wO412PriR0TxY9B9PVWJTIFSJeT5p6aqmthEpyfN0+K1dhfniaQeMDogHidBSylV1I4olMPlnPKDlEPhe6hzAkomtHjtsS9VqpQdiRzaH3oUA97zjwx7WMVorHj96TdUTESU2457KH6o+iG0WGIIJG6Pl2FIrLGn4/HNnj9k8jOzA7PgN+MQfKK4hC/WixYvluInFJMCmUdVnXCi+2D1OjsS1RMej/BZnzZ0pIrRsOKdXEx/Xwj1vUHD31rsK2PPL7L74F9hv0NgX/r+kcD9/tr3l33NgX1EAsfTP999tj3L55JdOB88f/M4+idS5mMi3QeOCWYyf7RIaXUZ7nFg7t97vKx+P3/vP2RH7hp7PDaa368+Fi796Nv0j3meoejb0tPT1SXoeRewP79zQweWXoITIx/C7Z+IKKdke7m7RSuWyeqVq+SLzZ+rL1DeXvhtv22Sdo3ulb3bd0jju26Xu1vclac9DPijylnx6Xigoap7u06qBR5fWv3e90QUP/SQfEB9+QNDhyTs/9mGDa4JNCrGYmh0duB7waDUPioeOXpsUGKPocxbtn6iejubt20acqZ1/K19euoMFZcsWFR69LjTdylRfK6jhnlf5kF1Hb2k+P3q7bv3HpDypYsFfu8Ygv/m++vUcmRbP92iHoORVxfWrqsStcvPryv3pt6ttvsNxdeP3/LOx/LzP79JmRNOVpMRXlb1Krmxyw051tCLESYrP3pPtn/+sZpXwTxW9XPOlZY3twm7hB+e/ysLXpUPvtionuv2bzdLscwK8kvBX+S0E8rKKWeVlzpXXi21ap4X9DvQvyN8t9Pvt3Klykutqy8O+XtDcrx+8wdqQjkc74uvfpciBb+XQ5lnSYkiGVKp2tly7umVpGmLFlLzwhq+522+v81Z8Sc9Plm++GZrlu8ZDeePCRHx+2zctInr/nhdUCevn1/6T3ukUHFrJCdeW7wmTS+9Mui7qv69m68J3jeXXn2FOq8bmlwb9F6HTZ9skdatW6rGxSZtbpcpE8bYtxAR5Y5sJfb4svT8mDQ1zBH8libBH7R7bmunJl4B9JwMGDnc949fLOAPOmvs6Xhcf/3VgSGmC5cuy/Xloojo+Fh/91urL+MFy5wtz897LCFH2ZiNihCP9fV4rdF4joQZn/dPvzI/6LU2G1rCLSGHZG7K44+pGPt6duELvn9vzYYEJJ8bPnlfxXi99JJjSMBWrl6tkskBffqpSfNCMeumvXOpnHxqRVk1a44cy1TVNq+cqqXGa7Rkygw5VPCwvSUYXpOuQ3pLaqfg1Qb+89Y6GTl8WCABDUftp29v6XTPnWqUCzRv3iLQ6OHHu3QhGiEw+3s0x/NbJSFUjb35nrmgWnV5ZdVrKg6l9nk1At87zf8nkZ4nztH7XTWr9w0aDf2Wu8X/iVsaN5M96btd70MiotwS9VD85+fPUH9kdVKPP4I7vt2uYlOpE0pIuUpl1JcpwB9afEjigzivsMaesgPD7NALoJN6fIgzqSeKf/gSPXzkKBVn/v6tjBowTH3ZTjRYIvZwhjN8/KL68dc4gbroH7//XsUVzz9XalQ6T8Wm5i0a25HIJ+vXBYZ9e2362JkTAd8d1q+3EnavV156yY5EGt/Rxo6sody6Jxa+PfKPuqx2Xi3VAIAkS8N3GIzAwvbyFazvK17vvP2hmg0dST3uh0YJNALgcYdTjqj7IClF48vxvL90EquTeuwfnzdIpnGJ64DXZNLINPW5ZA4DR4NG1053u3qV0SiBx+MHIz0qn3umes6A/cx9co58tsNZzg4jAnAcfR/QrxH2Z9aZ47li6Te/4w1+YIQ6HspGzOPNnPSE72sUqsYeI1MwCSZ8/uEm9RxDwfdLHANwLhjVAHiNZjw3V50n9oVVM/D7068LXlv9nsDjxw0f6TrOWZfVUreXLXKGvcX9mhQ57XR7qxv+/lx9zZUqxvvjjdVrVExElGvQYx+pDz7/5OgVtesePadS5aNVzq5ytOu/ehx9b/V6+1Z/eMwDve9Xj8HPXXe1O/rLL7/at8YOjtmo0VVHb775FnsLUWQ+3rT56MW166j3b4OrG+bJ+5eIsu+htPGBz6DHJj1pb00c/54yI3D++BuEz9Vof3L779bz814KnCM+80PRf0vxs/DVpfZWt3NKnxa4D37wXcMLz8e835+/7LZvsb531Dr3ArXd7282jqsfh+8kfszngx/s78nnn3XtKyMjw/W7wfmEek5ZUedkPx8cC+9Z7N+E68OGDwkcD68lnqu+rWPH7oHb8Ly+/d936jYvPDd8h9P3xXUv8/8MYj/4vej74PuVPhcv72uJ18wLvyd9u/f3dWvb1mEfq+Ec9P2mDZ5ubz2qvqdWqlxRbdf/f7ywDd8P9eP93sPm8/B7T/ox3x+hXkciopwSVY89eg0wpAga39RUDVnLajgghqVhiBJacQEt319t3qbiWOM69pQdL698IzBEEGvWcygdUWJBrx96KuHZKdPzdORYduzeb/VYAnodb7/5Vml3ZdPAJYadt23SRl36bUeM2uLc9OXOnXYkUqlqNTsK1rlrdzsSNU+Pl1rBwB7urntRP3onuMderRJg30/1Cpc7VcVg9thjHfs/f3fOLbseHPGQ9Opwt+vvP4avY1i5/n6D89nyqdP7HY233nKed8sOLdV71ruiAK53TB0UmDwRn0vbNn2pYvS6b9u8ScXoTe57/yCpUqOyuu6FYeY1LqhpXxNVGx8t9Lq/v3KtfU3kqSeeC1mGgOMFXqNjFrwYvLygOXnen7+4JzJs3cIZFr/x/bd9e/xR569H1WEURccH71IxfPfL91LI/rp7fu0LfM8T2wb3HmRfE1m1YqUdOdL/cibPi1T5SuUDIxYwZ8LxjOggIspKVIk9JnPR9FIekbqnk/VhXrDAYfVHNi/s95kJlygcfMnU9X34MuVXG0hE8a9bp1T1BRtDbTGEO9JZ0PMaEgEkBCZMxoUkUF/iOeGzVQ1D9tlevGwZqV79fPvROQ9DnXds/ca6cixBQzITStvbWtuRyCerNwfNKD597mR1iWHOja65VsVIYJG4mcxVAjDpmQlDuQsdspa0wxDvk8pUVLF2NN2abA9SUkraUWg4l2tucMoIvOpecY0dieze9a0dRQ7Dvt9/01oSDeWLTa66WcV+zil3sjS9sZn6PKpX6yYpbJcYojGj7T0d1LDyJs2ayhnVQjeuAIbcHw+8xqiXx5B2HDNUI4JW+YKL7ejYW7Nk8Gt+ot2oASederIdWaqcelagrPOzLV8EJf4we/kiOxJpcPWVrkYRMyHH5H6hkmt0VGHSR8wbtfmrz+ytjiIHoi/nPKdCFTsS2bH9R3YMEFGuiiqx1x9YqDGL9o/Tddc2sCN3y34sscaeooEvnJhsB5AQjHo4usYsIooft3W4Q65o2lDF69dtkJULX1BxIkBCoFWoWE31ftaqe0nEl0j0il9g1RvnBiRRe3+26qyPlC4qZYo5Nexe+O6ge5x3//WDvPbWahVrmzdYtc0XXn6FmkVdW7p6uR1ZS8Ft/eZrFeNvM2Z3NyHJPVBwl4rRY+9dF91cx/7o0X12FFqlymeE/c5j1p1nxylHSqoVhOC0kzKznEMBDcwvvfSCPPfKlMCs7zi/vn16qRGS+ClfNPT3HSS2P//+k30ta37r2KOHG+eBkZt+E8eZcDyzwWP/vuDXHL8nzfv7QsJd4zzrPYVGnv9ud9fZY66GTe+9Y18TadK0pR1ZLr+ibqDXHBMDtmvXUs1noEaHeGB0QaiRB0WOvbejdWaFCoHRI5iFnz32RJSbop48D8yW1UTCdewpGmOenBqYFAg9E5wwjyixTRo7IfAFf+KQwbJx988qjmdIcnZut5JUDE1PGzZc5s6dL0teWhTxJRKvuuVPU/vIDUhWdtmvZcETKsiZtdw9rl66txjDo3fvsMr7AImWGnVwTP2LL3Z1CPxnzZt2JPL7r98GJuordXo5aXj5VSrW0KOLpdYAPfbmuujw297oGvmLlow8cS9U2JkELlJIVPWExBgq7h2C7yeS+2iYKR+z/Hfr1VPqXXSF1LvsUtW4FSm9jn2k8HvUx8MydjjemuWv27f699ibk+d5f1/QqOENduSeNBG27fo58H7A/5ELLnCPTkGiXruek6xjyD5G4nXs0l7Noo9Z78NNyqeZ69hHymwQ0u9tIqLcElViX+dk6w8jkp1oWx3NltFKJ5ezo9hijT1FCh/yq1+0hvZhGObl19ZVMRElLiRD06Y9LUcKpqhE6pEu3eK+Bw1z22A4vaZn+o4nZvJSOONn2fdL+K8WlzduEGhgMWumN237VF1mFi+khl+D7t3f+cXXgfthJR4974lfbzqGcmMddVA19p6h22VL515Z3uG/nJ7nSO3bHn3CGAoaq56ZMkc6drSS1nMrV1Ez5WNVIiTXep4kE9Zizy78TpDE43hYsg7HQ8Ksj6cbx01+PfYmb489tDn2HFDmAWiUMP/ffv75F4H3Q41a50sJY/i7NnHiZFU2oN93GpJtLGXX7saWqhECSX6oOTiyOzIj1Iz/REQ5LarEvtZ1To/l5Gdm21Fk5ix7Tl3ij2r1annzxYQ19hSphTPmBr4Ade3eM+TQPCJKLBjWi8lfAcNy430JqqWvOrXDSFrCDQmPBhovkcRg3fKGDZqqSwxPjqTn0stMsgoWOVENLQ+n0tmVA8OTUTOtIcmHC8++INCAYdaCf/o/q+55+QJnYjPvsGtA8lQss4KKVY29p2Y72hr77PTCR+NQivPdpGTB6Id7a5s+2SIDbrtD0saPUMmvt4cYvdkoz8ASb7jUipRIsaPo4PfepnVrlcTjeDq51vTxsOwdkmrNr8feHIrv12OP0oJGHW61r7m/g774wjw7suY7wDwEXvh/gxE7aNjD80eDkV6qUEMjBJL8wf0myKTHrbkeTNnpsYesnhsRUU6JKrHHB62eWXj+uInWmqEh1qHVUKeM1lw9eyqGzZ1SJ2+G8rPGniKBL7b4cAd8+KPmjojyjy49uwVmXH9s3JhsJbOxomvJwZyA7HjgMxmz5ePv3GeffyrpP30vn73zrhqejLXY/WqPw/E2NvxaIHyPLBpK0UgBSAaxUg56mvVcAqVLFw/sE2uIA5LUrVut4fj/27xRXUL92pfbkQPJ0+EiVvKeEzX22emFj4bZE7wv02l0CMc76SC+iw176KFAD7nqRDn2+YUkdsyUx+Xr7d/Jfz/5WJVnoDb+tDL+a69rpYs435cO/exfj4+k3ns8JPFzn54vGz78KHA8zPCvR3yGEkmvdvd7nRUV1r72qrpE4wIa6LRwo+swYgcNe3j+y5cvk88/2yoPPDJNNT6YPflHD/0gUx5/LKjnvsjR7H2HNJ8bEVFuiiqxP3LSScf+KNqT2ZQoIg/3GSL3jxqhviTgiwC+HOkfXJ8ydab0HdhftebqlmP0flYtW0fFscYae8oKZl7u3623ivFBP/HZESomovwDieX9A6ylrZBY/nvMdBXHG2/S4p0kLjvw+YzGjBKFT1RJ30uvvixPvzJfBv57nvqbh9dj0/fWkPhoRJu8NKzbxI6sUQkn/vSL7PqftXSbedvpx5JenXR9/u3f6ruF7hlGIuk3GzsSw/2HiqsY53W8Nfa5rWodZwb7LzZ/bkeh4Xc4YshDaoQFvn/B6x9sCLxXUD42aeY0lbwiidUT7Jl27w1f7/3TdmcVgtMrB7/GC+e96Jr7AT3hOB6SeCTP3saebw84yxxnNRQ/VK82JqLD5JGAiejwXjB77vF+CDe6zhxZAkj0u93ZVDU+bNj8oZoRXzf4gXc5RnNkRaRwTN1jbzYeEBHlhqgSewyFwh/tKxtawxiRrKOGCol7jx5dVEu//sH1SePSXBOmYEmUvOz9ZI09ZeW1tW8EeiBa3NtJziwafskgIkpM+CzSw4PfW7tS1SXHG/Rkm266NvSSa5HCMPnOXW9Wf9+Q9CERwg8SHKyfDjs2Wwl2NCpXqa4u/9jzs3z836xnXL839W47Elnz9luqThodBlDruovUJWBivGLFraHVO7/cKjOem6tiuLt7ZztyQ2LoqrH3rGOfmzX22YHz1QklzhdD6sPBHAMYbYERFnoYurl+ft2LL3FNPOhn+3db7ci/xt5M5s0kX/v0+x8Ccz80u6O9SubDwe9Y8xuKb65jH6rHHo0F11x3iYrx/RNLJ68w1sQ316E3oeQE9fP1r24Zsn4eST7+Jgx+dLi9xVoaz2SOrIh0XgI8lz8LWL9bXX5CRJRbokrstTlzpqnhVmbrI/7IohVd/+geesAHVt/hg7NcEiW3scaewkEvyKyZVs8dejw6NW+jPuyJKH/CkHws3wpTn3pC/Q2IJys/es+OrM/RnPh7hB7u1J6jVCM9ehPxnPEz4/mV8vZ/rOMVOS38MG0/5Utb54ZJCQ//E9mStliKD/Cd4Y1VVuKH52n2uiKZO+Us63eECfQ+WW+tX4/vH3490eCdFf9417GPBbM04eWV1pr2oZg9yXoNf3O4vF8Puwm9/Ojx1vxq7Pcecr4v+b0fzOOVz2K0Bo6394/w9enmakuheuyh5mWXB757olHjt31WLzzeN+EaF9BgjyH23l74cFASYjJr7COdl+CPn/fJP99+ouJK1c4OGslARJSTspXYA74UYPienoQFQ6Dwh1X/oBYfPfu4ffoLsyW1U1f7kXmHNfYUDibMw5cqQMmI3xBPIso/kEDe2dXq9cX/ffwNiCfbP//YjqzETyfh0f6gxMiEIcxYigzrebe/9V9ye73rZPyDPQLJXqia6nBqX+7UNkfa49++4112ZI2agEbXXKsuTU1vbKYu0WGgOw0qnu9MqueV1az4Zo09eq699eqxhmTvlttvD8z6vuyZ2WoEife8cH36kBmBOYuKZBaSW5tay8CZr//SJYvV791r98G/VIkkSjHMzpcDO4KTVLPG3nwfapWqOqPZFrw43/d4gKQexyuQ6fRw66XpQgnVYw8YwYG5mgClB1gyEfzeN9pt3TqqlTAAr50uX/BCQ9fksZPsa8ETM5o99t9s/TSi983W7V8EljI89/RK6pKIKLdkO7EHfCnCUD7UJ82aNUtWrl6tfhasXitvvvmO6tnXQ/3iAWvsKRR80dUT5qGhihPmESUHfEahYRrwNwB/C+IBkgw9mRxg1vF2VzaVLre0D1xiArxIrj+78Cl7L9bIpH79+6oyuYxf/zmWGF4u/UanqQnP9FD87PTYY3k6LFMHP317KKKkB7Pje+uOkYR51ala044cOtn3g8Qw3Kz45rr36Mm9selNalUAJL1+jmem+khh9EGTzlZ5ApJuzGx/yy1NVBKK4eO4xHmOeWF0IClvldpN6lxkvXfx+qNTBfCcUBKJGny8n/F4xC3rNVQlkmjE0r8r2JlurTZgOvVUa5QE4L2HoexY0k4nxWqSOrshwjwejoV18xFjzXyUauJ4+txAN6CbdB06hOuxRyMISg1MmUcKqSUUQ6lR6bzAShh47XBOrW5vo54LzhXnjOH619dvECjFw98E7/cAvQQjYC38RvWvk7tuSVXPNRTdyIWGBbPxhYgoNxxXYm/CH1v947fUSDxgjT35wRfotCfGqBhfMnsNHqhiIkoOaJjWiQfmhwnV+xhLqjbXSHaUEkWspM6+RI1zJNcrlnOWmN226Uu1lCcaMDd88r4qkUPjBoYxf7rVSkKy02OPx2OZOtiy9W35bIdT8x1KmVPOltr1nIb/gmXO9u0IwL7Npcnwd7p8JSfx9EJieDjMrPj4noJyKw3JHHp/0fPsJ9KZ6o/XlAljpGPrnoGkG8kjktBBqX3UJc4TPdS4HXMWYeSkhteoc9fugfcxkmfU4GNNeTweMX7veO3w2CXzFqv7AfaLz0HTZU3OczW64D5I8FetXKqu4/eUNnlS4Fz18XAsrJuvj1e2yBlqLgvMkG/uz9uAZk6+6J0TweuBoUPsyFKmzMmqkSgUlLAM6j5AlX4cSbf+T23Z+F/1muJccc5o1FP/d45BUv/kmCdUbMJrbL5v8Pw2bHktMEO/F15TvapFuRNOd02SSESUGwqOOMaO87UDBw7Kc3MXSOEihaR9+3b2ViKRZ+c8L8tftr7k3Na1q9x5aysVE1FyKF68mBw+kiLvv/eu/HPkHzma8bc0burMzJ4Xftn1i3z73U9yVqVyUvq08nLOOZWzdXl22TpyS9dmUqHcaWq/77zznnqeZ1U6S269tbXahiHac56aJcsWWL2xda65Tq69qr6Ko/HFzl3y6UcfqtewVo06UqtmDfsWf2WKF5Yff/pNUv4oIWUql5BGV10k117TyL7V7fdDmXJysUJy0mml5YqL60r7dh3U780PPu+/2P6VnH5aOTmn5sXS4djf9BNOOMG+1VLtrGryxXdfycG9f6jzhZq1L5CrrrpG7Xfbzq8l44cC6rzqXXqlXH6Zu5fYZN732kuuk4svdyb/i1bDJseOVe0ySSlwVH78+WfJ+OuAFBBrGDmSysbXNpKhvYdK5573qm0mnON51arLgSN/qfKDA4cy7Fucx/a/f5B67OnH3hu/HjqsXtOTi5wspc48VS6oatX5Q9lip0vtCy4Oeo2q1qopzW+yRkvUqHWh61z/OuRMgKeP16dPH+n5L2uZuiOFTpB9h/dJ1XPOkbKnn+F6f2zd/KmcULKYer/ecW+7oN+XCb+f1Wvekl9/2a2uX9X4WunWMfj1MJU+tZRcd+y9Van6BfL3Pxmyf1+G63zRIHLJ5XWkS7decv/9faVC5TPsW9zwvtmd/qP8/uPvgdekRMlS0qnTPSo2bfvqa5n6pNVAUKf+hfKvrqkqJiLKLSlHj7HjAAwr0i32GBanW9DR+jj+0dFStFQROZju/EHUMHxPP868z0kFT5M/M39WMe7TvEXjmA/Px7l37mzVUmJJFiINQwzRG4HeBMwbES+lI0QUWxiOrZcMmzl7TpYziycizLje9o5UNZFYSpEz5YxTC6raevRWYiJB9EKixzK7n5Nnn3O2qqdGYrd23dv2VqKcVfu8GoEedqzTH2oixbyE79IYuQAvvL6U3y2IKNf5JvbnVq5iR6Lq7jD8CDB0CsO6jgeSJ6x3qvcZK0jsMVEQhuMzsScNdXW6tr73oyOkVwdnCSYiSi74jLuzWwc7Ma0mixbPU8O28xusQf7CK4vkt59+VdfLnn6KtGrRWO5s303VURctWUpmTJ6qbouWmcyY3x+Icgpq4jF8HtDTjmH+8QYTVjZuZk3oh7IXzEVFRJTbsqyxP1TQGmoEJ1TwH/aWKFhjTybU0eqkHj1U9956m4qJKDkhCe3Xz1oLe9fOL9UItfzotg53yPOz58qzT02SCTOekBn/nqGSehg+cYY8MuxhFWdHr3s7qd56mPDUxIgm0SOKxpzps+xI5P4B/mvX57XZyxepS3Rmde/YS8VERLkt5FB8rdOtjaRKtToqRiK0fNlqFWcX1jttfPtlUrWstc9YQY99m9Yd1JJ37LEnXZqBYbccgk9EJnNIfrwO841neiQUlmObOXsue+3puODzGjBvABJmPSIkXss9vvtyk9zzf31ViR9668fPmC3li3K5ZSLKfb6JfX7EGnsyYSjfw32GqBo9zNiLHqr8OOSWiKKHJbC69Riq6tAxmgez5vPvQ+SshvTWKrHB39dJYycIZiYnyg40tO38wppdXtfVQ98Bg9WKDvEGyyZiWcG8Kj0louSVY8vdJQKuY08ahvLpLwhdenbjl3YiCsCkee3vsCbOQ8/95Gdmq5gig7+nacPSVLzq1RURLX1HFErp0sXV57WZ1GPJvnhM6tGoNWvmdBV3HdKbST0RxVRUiT0mA+nWq6f60UOjIoVJidDqiplM5823ltSJNdbYE+D9p4fZtu+eyiH4RBRk5IhHA7XiGPobD2vbJxIkNCNHj5WyJcvKqAHD7K1E0bvl9tvVyBlMlIe16FEeM+7xifat8UU3AmKkSmqn+Gt4IKL8Laqh+Oas+NHOdotkaviQgSrOi+FT1tBA1tgnO3w573JLe9Xyz+WYiCgcDMnv27WH+nvBIfnRw/r4B3Z+LieVqSjFixflcHzK9/Ad45QjJaVKjcr2FiKi2Imqx/54ZsX/cudOOzr2Yb9/vx3FFpJ6Sm4LZ8wNDOf7V7fu6pKIyA+G5Ddp1lTFekg+Z3mPHCYMw+S7aAxhUk/JACMAmdQTUV7x7bFH7/aDox6Sg/vS1fWUlJJy9Og+2bs3IzCEuXrdmlK68EmB28L586+/5ZNVb0mBUiXU9cEPjJB7U2O7XjieE9exT24YcdJpwIOS+fu3aqZaLOt0TrmT7VuJiIJt3P2z9GnSUvak71ZDgRe99ExgpRgiIiKieBFyKL5erianZRYvJPOeiP3yN0jsOSt+csPcEGuWv65iLmFFRJFCo+CdbW5WjdMYkv/4rOfZKEhERERxJeRQ/JY3t5GCZc62r+WcR4Y+mmezhO7f95cdUbLB8nY6qUdvPZN6IooUPrMa33W7ijFqbeXCF1RMREREFC/CTp6HiYN++ulnFZ949Ih8+v0PanZgwGzi1SpWVNt/P1pKTipg1c3/eaSElElJD2zDdVxWOfUsOa921TybeIg99slL/+7xhTylyJmy/p2lnACLiKKCvyN6bXYMyZ88YUqeNVITEREReUU1K/6mT7bIbS2tns6FS5dJnYtqqTgRsMY+OWGiq9nPPi+TxllrKvcdcJek9hylYiKiaJiru2A5qxmTp6qYiIiIKK9FNSt+qRNKqC8zrVq2kjMrVLC3Jg6uY598MjIOyoIX56u4XKnycvm1rVVMRBStDu3bqlIeQGkPSnyIiIiI4kFUif1PP/0k769cK2vefksWLFxsb00crLFPPs/Pm6+GzsKdXTurpWiIiLJr4sTJaig+PNxniFq3moiIiCivRZXYr/zoPbUG+L70vXm2Fv3x4Dr2yQXlF5NHjFBxhYqVpNM9d6qYiCi7MD/H4EeHqxifh/8eM139rSEiIiLKS1El9rt3fWtHIk0vvdKOEsfBg7/bEeV3+KLdr18vtTxV5pFCkjYsTYoVK2bfSkSUfQ0vvyowJP+95Utl7QfvqpiIiIgor0SV2NeqfpEdiWz6/lM7ShyssU8eX23eJhs++F7FV19zGWevJqIcg177XoMHypGCKSIlisjksZPYa09ERER5KqrE/vJr6wZqCxfMnp9wtYWssU8OmAl/zrLn5OihH6T4CcXkltut9aeJiHIK5ut4+OExKsY8Hv37P6hiIiIiorwQ1XJ3gFmA04aOVHX2SJqaNGsqtS+vK6effpoUyTzBvld4ebGePXpTuI59ckCDU7sbW6oYw2XnzrVmxSciymkdO7aX9es2qHjk6LFq5nwiIiKiWIsqsUfCNGrAMPn1+92yJ323vdVyOOWIlCx0kuw/8W8p8feJcuTEDMk4VEBOLlA0sA0KFS8s01+YHfPZyZHYcx37/A+/5zatW6seNIwuWTRviVSpUdm+lYgoZ61/c4N0GvCgZP7+rVSvWUtmzZoV04ZrNLafUfhUlhsREREluaiG4hf6K0W2frolKKmHQkcLqBmCC2YcVpcHM1KkQOZR1zb8HM74S/7ZdcB+VGyxxj7/e2P1msDyds3uaM+knohyFRLqFg2s+Wfw+Tj5mdkqjoUpU2fKoNQ+0qt/KpfdIyIiSnLZ6rE/LsWOyrARD+dJj32b1h3Uknfssc+f8P7s3623SuyxvN1TL0+SqmXr2LcSEeWehg2uCTQqzn16fq73oGOkABJ6lMVBo+Y3yozJU1VMREREySfqGvvszvxbvHhRycg4qOJY19cDa+zzv3nzF8jwIQNV3L57qgy6ryeXuCOimEDDYvd2nVSijYbFCTOeyNUG7AF9+smSpUvsaxbW+BMRESWvqBP7RMUa+/wNM+FfXf8q9aUatfXvrH+XST0RxdSwMRNk/vQpKu47YLCk9uyq4pyGunoMwffChLZPvzI/5iPiiIiIKO9FVWOf6Fhjn3+NeXJqYEjqoAcGMKknopjrdGsj1VsPMyc9oYbL5zQ0Uk8cmmZfc8M8NgtnzM32yDoiIiJKXDFP7NHTkFdfOriOff606ZMtMn/cRBVjVurbOtyhYiKiWKpSrY6kDbOSbiTZw8YMkN0Hc+5zB5+dI8aOD0xgqxsRCpY5W4pkFlLxouUvy1ebt6mYiIiIkke2huLjywW+OLz5+ruy6+/v7K2hHdp/VLZ/t1XSf9qjrk+b9nTMl+bBObPGPn9K7T9IVi16SWT/IRnz3HRp06yFfQsRUeyZQ/Ix30evezvlyNwyGAHQo0cX1WiApL5lq9Yy5fHHVNy2U3uZNNJqVMD1RYsX58l8NkRERJQ3ok7s8cUi7Ykxalmf7EANYF4l9qyxz3/MmaFr1b1Exv97tpxT7mT7ViKi2NOfN9u//kH1pM+cPfe4P/N047T+7B0z5XH5a99fasJQJPJYBeTF0W/K3MXWzPitWraScY9bI5mIiIgo/4tqKH7Gnl9kzrLnsp3UQ6nTy8kpdYrY12KLNfb5D96Pura+fce7mNQTUZ5DT3n3vv1VfKjgYUl7yr8mPhpYH19/9mJpO3Nk0t/7D8m+XwpIj0GdA8PzX175gSp9IyIiouQQVWL/+a8/yX9Wf2pfs4b74QsGfnR9H2YkR08BtqHeGdc1LMWzdt3beba2OGvs8xfU1q9Z/rqKr2zYlEPwiShu4O8RPgth68ZPZcrUmSrODoxMev4pqycen6ne9epPLFFEKp9ypmpQ6Nq9p9p29NAP8spLL6mYiIiI8r+oEvsd325XXxagfoN6qoYPXzDwc2XLxmr7SSVKyANDh6htGPI+/YXZ6r7w2Lgxaq3fvFKiZGE7ovxg0mNj1CXKO/41qLuKiYjiBYbCo4EbJo1Ly1YPOobgY2RSgcyjcqRgivT8v972LQ702G//1fpsbtn4GtWwDuvXbTiuBgUiIiJKHFEl9h+sXmdHIr0GD3RNzFPnZGvd3D/37w98wQCsp6vuW6q8GjKNpXjyysGDv9sRJbp58xeoL63QpFlTrttMRHGp7/39VOMjzJk+SyXq0Xhj9ZrAyKQaF9SUe1PvVrFJ99hD8XKnyiPDHlYxoEEhLxvUiYiIKDaiSuz3ZR5Ulxh2702kqjauri6RvP+z64CKNdy37T0dVPzO2+/l2ZcM1tjnD9/s+UNWrVyqYnxhbnlzGxUTEcWb665toBof4dP/fSKLJy1ScSTwWYmRboC/dYN7D1Kxl9ljD2h0R+lb5hGrRG5y2tioGxSIiIgosUSV2Gtlq1SwI8cVdS+1I5FN25w6fO2aaxqqS6y/6038Y4U19vnD7s3/C/TWX9G0YcxXWCAiikbrwQ+o2vhCRwvI2GUTImrcRiL+7zHTA5ODdh3SO+TfOrPHXruhcSO5+prLVPzO2x/KklUfqpiIiIjyp2wl9n6KFbOGGsLG99+2I0edi6w6Q9j4v4/sKLZYY58/mDNMm0NOiYjiUd3yp6n5ZtDrXjDjsHRv1ynLHvS1H7wrn6y3yt9Qp9/25tYq9uPtsQc1M3/HXqouv2CBw/LshBFqZRsiIiLKn6JK7GtVv0hd7tq5Q1166WV29u7NUJeh7D2UNz3nrLFPfJgICjNMQ98Bg13zPBARxSuUpOkh+ft2/iTPz5svuw/6fxYi6Z88dpJk/HNAJeYYgh/ub51fjz2gh//O/7NmycdouftHjVAxERER5T9RJfZ1qta0IyvB8qp78SXqEmvtog7aFA+T97DGPrHhy+6CF+erGJMxXtr6FhUTESUCrBhT+dxjCfixRPzZKdPlm/c+tm9xw5r1ugG9TfNbsyw38uux10YN6h+YmR+T8GHiUSIiIsp/okrsz6tdNdArP3PSE+oLgjmc8PLGDexIZM4zM+TAAauWHpfmbPi1ap5nR7HFGvvEtmDh4sCX3Tu73qCGtxIRJQo1PL5vfxWjN37wqMGBz0nT2tdeVZeoy8eSeVkJ1WOv3d29c2Bm/vT0dHVJRERE+UtUiT2+lDS86WYV40vJ0KEPSJvWrQPJfZ3Lr1NfROD5MWnSd2B/1bOPy0XLX1bbyxY5Q86pUEXFscYa+8S2apk1E35KkTPlpoadVUxElEjaNGsh7bunqhgNlSOGPBRUb99rYF9p1bKVTJ4wxd4SXrgee8AxB4wcrvZpjrwjIiKi/CPqyfN63dsp0GuPGX7xxUTX/p1T7mRpdkd7FRcoVUIN+8MaurgskHlUbW/Y9ArXRHqxxBr7xLVoxTL5/MutKm53TwupUqOyiomIEg0+R2vVtUrXVq1YqSbKMyERR099pCt+ZNVjDx3at41qn0RERJRYok7skcSvXfe2mrgMCb7uodcG3ddT9QqgV9WEYYDV69ZUNYZ5hTX2iQm9WeP7jVMxautRM0pElKjwOdq+413qcxGj3+ZMnxXUax+NrHrsiYiIKP+LOrHXUnt2lUWLFwcNFcSyd+gVmDHt0WPJ/10qyceww4ceHy3LX3ol0LufF1hjn5j+PeUx+e3Qjyru9+hgdUlElMjQK9/i3k4qxoSz4x8dreLsQI/9KUdK2teIiIgoGWU7sQck6aGG9V13bYNjyf8oleSjhxVfYvIaa+wTD1ZTePs/76kYI0QaXn6ViomIEp05Y/2SpUuOa8b6XwvssyMiIiJKRseV2Jswsy+GEm77bZN899l2e2t8YY194vngrY2BmfDb3tE+T0d8EBHltGHjRqlJZeGxcWNk4+6fVRwt9tgTERElt+NK7JHIo4ehW6+ecvvt7dQM+Xc36iH3DeotzW+/RUb1Gy/r39xg3zvvscY+8eh161GL2va21iomIsovLqteWzred7eK96XvlcVp41UcLfbYExERJbdsJ/aYpfz6+g1k+JCBatZ71AiiZ3VP+m4Vb934qcxdPFU6dmkvHTu2V0Oq8xpr7BMLlkrUvfVYqom99USUH2HOmsrnWhPOYkg+Pl8jYa5Jzx57IiKi5BZ1Yo9e+gF9+smg1D5qNl8ThhNmFi8UGFaorV+3Qbq36yQL571ob8kbrLFPDCjrQEnHzElPqOuorcdSTURE+dULLywNrDIzoEPniEa7lSpVyo7YY09ERJTsok7sp42ZpXoUNEz8M3L0WJn79Hx57r1/y5J5i+XfL09V17EkHoZQA4YYPjLiYfnPW+vU9bzAGvvEgJUVXhz9ZqDhqGv3nuqSiCi/woik+wcMUp+ZBUqVkOlzJ0e1BB577ImIiJJbxIm97kVdtuYFe4uoxH358mWqNxWz41ctW0fqXFRL1QziOoYXbv7qM7XcHSBRe3b29ONar/d4sMY+MeD9sebDFSpGb/0NjRupmIgoP8Nn6RVNG6oYI90WLFys4kiwx56IiCi5RZzYoxf1rdd3q553QLKOxD0Sve7tJI2a36jizRs2yw+7dqk41lhjnxjwZZYz4RNRMurSs1tgSD7KkSKdgJY99kRERMktqqH433y02o5EBt7b0Y6yhsTs7hZ3qRi99p9//oWKY4019olh1szp6hJDUjvdc6eKiYiSAUa8TX9htvr7h8/Lu/81QI2Wywp77ImIiJJbVIn9vsyD6hLDo4uXO1XFkcLQfO3LnTvtKLZYYx//ho2ZEBgVgpnwMVKEiCiZILlvcW8nFR899IM8/fDzKvbirPhERESkRZXYlyxYVF3+uX+/uowGavS10kXypuecNfbxDUsirrDXredM+ESUzFDChslpYdWKlb5L4HFWfCIiItKiSuybtmihLtGjGuk6u9rLS1+1I5GzzqtoR7HFGvv4tnzZ6kBvPWfCJ6JkhhK2YeNGyZH0/WpI/oD7+roayL3YY09ERJTcokrsa15YI9CDkDZ0ZMST+qAndub0qSpGT2ylsyurONZYYx+/MBP++jetxiK8R6rWqaZiIqJkhSH5D0+dJplHCkmBzKNyZ6eOIVeVYY89ERFRcosqsUcPwuDegySzeCHVs9qrf6qqiQ71RQPb581fIP279Q7Mcv6vbt3Vl5W8wBr7+IWZ8Ld//YOKMRN+Xr1HiIjiCUqSbmjRWMVbNv7XtQTeob3WvDfAHnsiIqLklnL0GDvO0sbdP8vitPEqXrJ0ibrUsDzPFdffIMUP/6Oub/3ma9n66RYVa+iJrXvxJfY1R0ahE9Tjipx2uowa1N/emrPQyNC5c2cVY+19ii+1z6uhhpuWLXKGbPziPXsrERF999l2adOhlWpQx2z5S5eukCo1KquG8+FDBqrP1gkznmCDKBERURKLKrHH0PuOXdrb13IevpysXfe2fS1nIbFv07qDGo7PxD6+YNTH/OlTVDxmyuPSppk1lwMREVkwr80DPfpLwQKH1WflosWL5Y3VawKJ/bPTnlXJPhERESWnqIbiFz2luB0lJtbYxx/Mv7D6xUUqxpfThpdfpWIiInKgwbP/oHYqRmnbg6MeUrHGGnsiIqLkFlWPPXq9Jz8zW8qXKCF///2XFP3lRMk8c9exW85Ut+/ev1/dpi/NbQV/OCo/lvgj8FjTiScWVveredaZcluHO+ytOQvn3q5dS7XkHXvs48eUqTNl0rg0FY8YPUjubN9NxURE5PbNnj/kgX91UrX2mFDv6msuk/XrNrDHnoiIiKJL7BMZa+zjU/PmLdRcDJijYeXq1WqCRiIi8oeSuB49uqg5STQk9qyxJyIiSm5RDcVPdFzHPr6gZlRPsNjz/3ozqSciykL96+vJQ4+Ptq85Kp9ijZwjIiKi5JRUiT1r7OPLxKHWEPwimYXk5s65U4JBRJTfoN6+VctW9jWRv/cfku2/WsuFEhERUXJKqsSe69jHD9TW70nfreIegx+Q8kXZ6EJEFKkHhg5RQ/DhQMYfsuPb7SomIiKi5JRUiT0mzqO8h/kOFrw4X8X4Ynr5tXVVTEREkUHpUtfuPVWMevu0oSPV31YiIiJKTqyxp5hb+8G7kv7THhU3vOlmTvhERHSc9qXvlX79ejG5JyIiSlKssaeYe+Wll6wZnfcfkuYtGttbiYjoeGDpOyxJe+CAM2M+ERERJQfW2FNMbfpki/ryCY063MreeiKiHLTsWGL/2Y6v7GtERESULFhjTzHV57771GXxE4rJI8MeVjERER2fkqVKq0uMhrqvXTf5cOtmdZ2IiIiSQ1BijyF8mLF8/Zsb8t1wPtbY5y2sW79r5w4Vt7i3E9etJyLKISeVKBFI7rHiyOS0sRyST0RElESCEvtP1m+WSePSpGOX9tJ3YH97q+O7LzepnoBEnKCHNfZ5B18wV69cpWJ8+Wx66ZUqJiKi44MRUJqOUfI095HnmNwTEREliaDE/rtfvrcjkfIVzrYjC3rxW958p9zZ4X7Z/usP9tbEwRr7vIMGo/dXrlXxpVdfIfWvr6diIiLKnkN7D6pLNRnpMei1L1S8sBwpmKKuT1q5gPX2RERESSJsjf2hn3+yI8sJFYqpLxCZv38r/+xKvF4A1tjnnZUfvRf48nl7qzvUJRERZV+R0kXV5eGUI+oSkNyXPrmUivFZ3emGNqy3JyIiSgJBiX1hY7j6mrffCgy7x8+Ob7fbtxxL+gv+E9ienZ+8wBr7vPHdZ9tl7ozJKq7foJ5cd20DFRMR0fErdNT9UW7W2x8qeFjV23+z5w91nYiIiPKnlKPH2LGCerxaF9Swr1n10GecdZZ9TWTrp1vUZeVzz8xWD3jp0sWl1+CBMV/mDI0JnTt3VvHy5cvUJcVGt149Zc3y11W8cOkyqXNRLRUTEVH2zZu/QIYPGajq6kudXs7e6kj/aU9gpFTfAYMltWdXFRMREVH+E5TYA2bFxwR6uQFfQKZNezrmNdZI7Nu1a6kaI5jYxw5GfPzr1p7y26EfVW/93Lnz7VuIiOh4TJl97LN6pPVZXaFiJXVp+nP/fvlt32+qR/9I+n55acN/Yt6oTkRERLHhW2OPVv323VPVFwUk4uaP5t0e6Q8m9skrrLGPveXLVqukHpM5XXlDR3srEREdr1KFrVp6s8beVPqU4lK2pLWsaIFSJdTEt5gEl4iIiPIf3x57Db2tmCQP9fSwdesXgZ78vsMHS52zagZui1SRzBPkovq1pVgxp5EgFtBj36Z1B7XkHXvsY8N6zVurtevRSPTa4gVSvNyp9q1ERHQ89FB8MHvsTzgxU/75u6B9zeq535e+V8UYOTVx4mQpV85K+ImIiCh/CJvYeyHRb3djSxXPfXp+Qi1Zxhr72Fu0YpkMSu2j4sEPjJB7U+9WMRERHb/wNfZFjv0cssJjWG9PRESUv4Vd7s5P9Zq1VIs/lr5LNFzHPnbQkJI2dKSKMQEjk3oiopzlXcfedMKJGXZkQRmcHrKPkXdoeCUiIqL8I6rEHpPuoLcbw/gScQIe1tjHzhur1wSGfvYd0E1dEhFRzvFbx1775+/i6hLD8gFL4FU6q4qKYXC/Cay3JyIiykei7rEHXZuHpfG2/bZJ/vPWOhk+Yqha1kz/YGZ9fGnA7bsPxsf68VzHPjbQWz9z+lQVo+6zSeM2KiYiopznXcfeSuatYfg6wdf0+vZHD/0gE56aqP5eExERUeLLVmIPmz7ZIn0H9pe7rvyXdO10t8x7dr5aq1z/YKhfxy7tpV2je2XYgL6qPj+vYeI8yn1rP3hX1XNC3Ysv4SRNRES5CDX2Jncy79TZA3rui2QWUvGWjf+V8Y+OVjEREREltmwl9uiJv+e2diqBx1Jm4WA4Nu7XvV2nPE/uWWOf+zCKY/XKVarmE182b+vGJe6IiHJD+l/p6jK4xv6Q3WtfJDAU31S2SoXA8P0lS5eoEXZERESU2KJO7NFT36F3x8AXiczihdSEeq1atlIz7eIHM6A3an5jYB18QIL/r1t75mlyzxr73JeRcVA15EDterUTci4GIqJEEG4de2u5u0OuZe/MJN+st5856QlOpkdERJTgokrsUYs36bExUjDjsLqO2fGXzFusJtQb9/hEtXwOfjAD+ozJU2XturflocdHq8Qf0Lv/9NQZKs4LrLHPfQ+OesgK9h+S1PGPWTEREeUab419iZIl7ciir5tJPuh6ezTUz5k+i/X2RERECSyqxH77rz/IO29/qGIk6yMHjpY6F1lJeyhtmrWQWbNmqd57+Oid91Wvf15gjX3uwmgM3Vtf/+ZrpW7501RMRES5x1tjv3/fPjuyeK9rpU8prkbdwdZPt0jnzp1VTERERIknqsR+26YvpWABq7f+7u6dpUqNyirOCiZPa3tHexVjSP43u75Tcayxxj73oLZ+4Yy5KsaXzO4de6mYiIhyR7h17P2ZNfdFVA/+OaefpkZYAZL7YWMmSMaeX9R1IiIiShxRJfabP9ioLpG4oSc+Gm1va21HIrt37Laj2GKNfe7Z/d0vsvHj/6q44vnnynm1q6qYiIhyh17HPhRnSL5O6M2ae70cXkGpcGE1FcOyZ2bL0tVv29eIiIgoUUSV2O/ea/UKlDq9nLqMhrnk2e79++0otlhjn3teW/uG7Nq5Q8V3tOvAJe6IiGLEb/I8cIbgmwl9EfsSnFiXy6H3f9zwkay3JyIiSjBRJfblS1t1fHqN8miYs+GXL1HCjmKLNfa5Z+XrK9Ql1kc+t1EDFRMRUe4rtO9vO7L4LXHnbNNL4VmxqWCZs9Ulkvs2rVvn+RK1REREFLmoEvval9dVl/jQj3ZpnP8+974dHUvsK5W3o9hijX3uwHsBtZnQY/ADnDSPiCgGfj9q1dgfLnmiutT++bu4HYHVK29uc9/uOO2kTNU4CxiBhVVsMH8KERERxb+oEvuqdaoFZt+dPHZSRK35+FKw7bdN8tRr1jJ3WF7nnArO+rmxxBr73DF57DR1ifcGljskIqLcVybFqrFPyXQn9ronXtfV60tzmxM7cL1w2ZMDn/NY5WT2s8+rmIiIiOJbVIn9ZdVrS+16tVWM1vwnB85UvbWhWvRRo/fy0lfl7kY91Gz40Oiaa7NcIi+3sMY+5+H3v2vnlypucW8ndUlERLFztKB7KL7TS4+6emv2e0uo2ILrWAKvUPHCgbr9mZOeiHqEHhEREcVeytFj7Dgi6KW/s8P9kvn7t+o6WvbxJaBGrfOlzsX1ZO8hK3ne/vnH8tmWL+T33/8ILJFXrlR5efKFGaqBINbQyKDX6F2+nF9ScgIadPoO7K96dTASY/KEKVL/+nr2rURElJvmzV8gw4cMVMvVmTPbA3rfdeIePsawfKtX35vo6wlR8Tk/bdrT/PtOREQUx6LqsQck5dMmDleJHKDeHr3x69dtkCmPPybzp09RP7iO7Tqpr16zVp4l9Rpr7HPWl9u+lk9WW+UYaNjhlz4iotjz1thH2ktvxc6yd17m53zaU2mcKZ+IiCiORZ3Yw3XXNpAX1jwjrVq2CiyREwpub989VWbNmpWnST2wxj5nvbzyDfnt0I8qvuX229UlERHFllljj5730PX0Vhy8vr3F2W45qUSJQL391o2fSv/+DzK5JyIiilNRD8X3g+H5W/7ziXz5lTUzOlzeuIFcUrm2VKlR2d6St/BlpE3rDmrJOw7Fzxm1z6uhenLQeLN23dv2ViIiioXAUPxj3I3sqLG3knh3nD1Y4hZ/6wEN9aMG9VcxERERxY9s9dh7oSf+3tS7ZdzjEwM/bZq1iJukXuM69jlnytSZgS96vQb2VZdERBR7ulfd4V6r3oqtCfVMzn2Cb9NwH8yjoy17ZrZqUMjY84u9hYiIiOJBjiT2iYI19jkDox9mzZyuYsydgEYcIiKKrfT0dHWpG1lN7nXrrVp6b4Kv6+pPODFDXeI2J9m34D4Ykm/W2z82box8/utP6joRERHFh6RK7FljnzPeWL1GDmdYqx80vTFv500gIkpWpUqVsiM3Kzk3a+utZN6cLM9J4M0J9Q4Zyb7zOMRmco+Jcbu368R6eyIiojiSVIk917E/fvgit2rlUtVrU7DM2XL5ta3tW4iIKC/oNee1yHrrrfv499brZN9qBND3RXKfWbyQipHc9+vXi8k9ERFRnEiqxJ419sfv2yP/yOYN1hJ3dS8sn+crHRARJbtC+/62I82ZLE/PdB/cW6+T9uDeevPx5n2hYtkKgZp+LGs7/tHRKiYiIqK8xRp7isritPHOpHmDrdmYiYgoD5UIPfnd/n377Ehzht6by9uZPfpm7CT7jlKnl7MjkYVLXpFFK7jSDBERUV5jjT1F5MCBA7Ltt02yasVKdb1erZvYW09EFAeOFEyxI4d3TXonaddD791Jv9mjr2NzaL4TW7C8XuaRQlKwwGEZlNpHJfcclk9ERJR3WGNPESlWrJg8/9SaQG/9fWO7qksiIsobvx89qC4LZB5VlyZvT71O6K2k3dvD766v17FTq28O03eUKXOyHYlMHjtJ/vzlD/saERERxRpr7Cki6IlZ/eIiFWOJu8qnnKliIiLKG2VSiqpL9JxnxZ2YB9fQO7cH19qbSb/JnCl/184dct+g3uy1JyIiyiOssaeIYIm7Pem7Vdz0xmZSrlxZFRMRUd5KOcE9TF4n4FZCbsWh6ul1D76ZvHsTeZ3om8P4NST3ejK9rZ9u4Uz5REREeYQ19hSRdRveVpf4Anf5tXVVTEREec87FN897N7qdferp3cS+Eh67M317t0995hMzztT/jd7OCyfiIgollhjT1n6cOtmWTPvZRVf0bQhJ80jIooDh/ZaNfZeVgJu9tqbnKTcWcveStxDxbohwNnmDOXXChUvHJjED5Osvr/6dRUTERFRbKQcPcaOo4Jkb9umL2XzBxvtLZE5qeBpcmOXG2KeHGJoYOfOnVW8fDmX5onGqH7jZe7iqSpeveItqVKjsoqJiCjvzJu/QIYPGah6y50l6JCUByfeGhJzJOr6MjrOvjG03ztB35/798u+9L0qxjk99PhoadOshbpOREREuSvqxB7Lnk14aEog0YsWPuyffmV+niT27dq1VMPxmdhHDg047W5sqeJGzW+UGZOz93snIqKcpRN7wPJzmpO0o14+w+6Z18m+mfjr2837hotD04m+mdwXLX5U5s57RepcVEtdJyIiotwT1VD8jD2/yJgnp2Y7qdf++Nndyh8rrLGP3vJlq+1IpHHTJnZERETx4nDKETuyOEm4rpd3evCRpDtC19b7xdYwfH+69x6T6RUsc7aKD2akyLCHHpLvPtuurhMREVHuiarHHr23XW5pH1jLHL3vqLmuVf0i2b1/v5Q/9oGuL//+27+e/cQTC0vb21rHfFZ19Ni3ad1BLXnHHvvIfPflJrnn/wbLrp1fqiXuZs2axdnwiYjiRPgee6uXXvfee4fOu69H1nOP/flvC5b+057Ad4X6DerJ8Ikz5Jxyzrr3RERElLOiSuy9XyImzHgiYSZSY4199P7z1jrp27WH+nLWsXVPGTbxAfsWIiLKa/419rEXql7fTO5RyvXIsIfZOExERJRLohqKr5c8g14D+ybc7Ohcxz46c559QX0pwzDPO4Zcb28lIqJ4kJ6eri518qyZa9ZnxRpej5730LG5P7/76KTeuu7ATPlodACsrLLg1cUqJiIiopyX7eXuEnGmW9bYR+e9tSvVZZObm0nVsnVUTERE8aFUqVJ25GYOuTcTcYs7tpJyazh9qNjcX6j7gHXdguOi3h7JvVKiiEwamSaLVnDEHBERUW6IKrEvWbCoHSUmrmMfuQF9+tmRqOGTREQUn7yT55l08q170/XkedZ1Kyl39/Cjht7d8+4wbwsVW3SSX/qU4q76/4f7DFFlXkRERJSzokrsW97cxo4kIVvdMXEehYflDLf9tklWrbB66zHpEWsiiYjiV6F9f9uRm5VsWz30VqLtDJu3JtezmD3ySPb1fc3HW3Eks+ibIwKcBL9kqdLqEmUDI4cPk/VvblDXiYiIKGdEldifV7uqmh0dli+wEr9Ewhr7rBUrVkz+M/GDQM3mLbffri6JiCg+HS55oh1pZjLv9NYjdpjbLe7rOlnXw+6thoDgZN+McamX03Mn+OYyeLt27pDBowarmIiIiHJGVIk9em4H9x6kWt7fWbZAho2ZoJbASxSssc/a7oN/yRvfWGvXlytVXiqdXVnFREQUn1IyvYm9O2k3e+dBD723EncnATfvFzxhXnBdvV/i7zQAmOvlW047KTMwmR6S++bNW6gVa4iIiOj4RbXc3cbdP8vitPHy9U87ZNOGzVKwwGFVO1exVA05/Wx363woRU47XZq3aBzzGfW5jn1kMDyyR48uqse+ffdUGTWov30LERHFE73cHWrsK51Vxd4K+DxGwo3h9HrN+dCQuIe/j7U/635I3P3i8McwmcvgtWrZSh4YOoQlX0RERMcpqsR+0ydb5LaWxzcbPlrrp017WupfX8/eEhtcxz4ymDRvydIlKp779PyY/56IiCgyOrGX/YekwoXV7K0Wv2QbvfDuenrQjQAQ3BAQbdLu3od/w8Kf+/fLvvS99jWRkaPHSof2be1rRERElB1RDcU/+Gvw0LrsOKGCNRQv1lhjHx4aP/SkeZhLgUk9EVH8+v3oQXUZXGOvh8mDM5rOm9QjaddJvY51Qq45Q+txu7U9fBxqUj0L7oN6e3OmfDROoJGCw/KJiIiyL6oee3zoLli4WHbv3y/lj30w+12WLuKeef7EEwsH3e/ya+vmyVB89tiHhzkT5k+fouIXXl8a898RERFFTvfYZx4pJBUrV7C3WszeeSTT3gTbgaTc6bF34qwe58e9r2h67jGab8DI4ey5JyIiyqaoEvtEhsSeNfah4fVp2rix+pJV+dwz5c0337FvISKieBS6xt6PlXRbyXpwbbyOzdstoRJ0d7IeaSOA9zh/7v8lkNxjYt6Vq1ez3p6IiCgbohqKn+i4jn1oaz94Vw5n/KXi+tcf3zwKREQUO6HWsTchCQcr+baSdp2gm7G+HYm3JdTQejPWj7P2ZT0Wib/ehxProf36OBiWr9e4R4KPBmaucU9ERBS9pErsWWPvD731q1euUrMU4wvWrU1vsG8hIqJ4F2ode51gg068g5NtK8k3Y9ymk3Zz2btQMR5nPl4n7Xof3tgLyX1m8UIqRnKf9sQY2fbbJjlwwJo5n4iIiLJ2XIk91rB/ZsocaX77LVL7vBpybuUqgZ9LLrpYOnZsr4YKxsta91zHPrSP3nlfXZ5x1llS56JaKiYiovjnXcfe2zvvJPOhkm1v4u8k3+aEe6Fi0PtyJ/xmQ0K4hgGRimUrBNa43/rpFnn64eflpwznsURERBRethN7TLTW6YY2kjZ+hGzd+GlgTVoNre7r121Q9X/d23WSKVNn2rfknf37rKHm5IYJEXWN4+Deg9QlERElhqMF3UPxdZKuZTWzvZNku4fXR8KboLsTfnfjQbiGASh1erlAco9lV8eNGsheeyIioghlK7HHWueYPf1QwcP2lvCQNE4al6Yel5dYY+9v1szp6hLD8LnEHRFRYnHX2OuEPHiIvZVkB8d+STZuM3vbQ/F/LLiH/UcKyb22ZvnrMuGhKapcjIiIiMKLKrFHy/mUqcNUSzqgZb1W3Utk5Oixanm0r7d/F/iZ+/R86TtgsFoPXcPjFq3IuxnpWWMfDKUSurf+/gHsrSciShT+69ibCbl/rbzZW+9l3s96rE7QvZd+zH06vfW6NADMx3p7+zVzjftZS/4tb6xeY18jIiKiUKJK7DMyDsqCFz9QMZL6Fvd2kiUvLVLrznrXPEfPb2rPrvL4rOePJfh3qXV2Yc70WXnW+s4a+2CrVi5Vl+itv6zJeSomIqL4VyalqLr01tjrhFr3yIPZs2721nuT9OAeeJ2gey8d5lB+vT9zv7oUAMw4dG+/9ZkEhY4WkHHDR8ZFOR8REVE8iyqx/2rzNtm180sVN2nWVEYN6q/icM4pd/KxBH+U3NCisbq+84uv1X7yAmvs3bCk0OYN1sSGV1x/g5xZtJqKiYgocXhr7EP1hFusXnUr8XaWqfMm+KH3oXvlnd754EYD737NRgSnsUHzHhtKn1I80HOPOXzGj3+Uy+ARERGFEVViv/Kj9+xIpPXgB+woMre3ukNd4gP6u1++V3GsscbebdM2a9JDjKa4ps5FUqyYNWkRERElDu869u6ecGcIPfitZ+/XC+/tTdeJvn68ObxecxJ0v/06ZQHOOVmx3m42JuhtZs99r/6peVrOR0REFM+iSux37/pWXZYrVV7qlj9NxZG6ou6ldiTy5c6ddhRbrLF3oBxi5esrVFyxcgW5rYPV8EJERIkleB17kzOEHsyh8OF79t10oq8TbuvSrKl39m32wJvJvhnr/ejzAr+h+VjjXif3mA9m4tA0TqZHRETkI6rEXjuxhPvDPBLx0BvMGnvH9l9/UGsFQ9s72qtLIiJKPN4ae83pZTcTbaenPVSvvBY68dffAXSy7h5ybyb9TkOCu8dei6RxwUzu96TvlqaNG8uHWzczwSciIjJEldiXr3C2uty1c0fUH6hmbVy1ihXtKLZYY+94cqA1EREmQex0z50qJiKixOOtsdfcvew60dbJdTBvou/Xg64TeN1YYO1P98CbQ+z1faxk3z0zfqjGBXfZgAnJvV7jHj33k9PGSrlyZdV1IiIiijKxb3rplXYkMv7R0XYUmTnLnlOXR9L3S+E8qnVnjb0FPR0btrym4iuaNmRtPRFRAvNfx97LSrAj75V30wm3TuCdBgLzeKFq6s2ee3es6UYA6zHO8HwT1rjXyf36dRukefMW7LUnIiKyRZXYn1KniKqvh1UrVqo10LOCD10sU/PGstXqeo2rr5KGl1+l4lhjjb1l4Yy56vJwyhHp0rObiomIKLFEso49ONfD98qbSb474ddJuk64nWPo3ndvA4HTK+8epm/GZqOAmexb9/FvoEByj88uQDnZg6MeYnJPRER0TFSJfdWydeTOrp1VjNnUsbZst149ZeG8F1UvsAnXkfj369dLZk56QgoWOKy2N72xWZ4Nn2ONvdXQsvWbr1Vc88KLpPIpZ6qYiIgSS1br2Ovk2q+H3I+Z5Juxexi9ldBbx3B65b0NBs4xzV5853EWsxFCx+5GBOd2R6WzqgR67tFpEO0IQiIiovwo6snzUnt2leo1a6kYyf2a5a/L4KGDpW2TNlL7vBpybuUqcm6Z06XdjS1l+JCBargc7getWrZSj88rrLEXWfvBu4FJ8+pceTVrFImIElxwjb2VODsJtZM0Q3AcnpOk66TbScy9nJ57MzG37m/epo9rNjrohN45J/dwflOh4lZpHToNlixdIsPGTFDXiYiIklXUiT0sX75MOtzTPtBiDvhw1Qm8eGbNx/3ad0+VcY9PtLfkDdbYi3ywep0didza9AY7IiKiROVdx95MuHUybfaCu2MnaQ/mJPBWsq2TdacH3zsEP7jn3jmWeZuTsOt9Og0M+pz8RgpomEyvQsVK9jWR+dOnqLI/DssnIqJkla3EHnoOHCbTpj2tEnb04GcWL2TfYsHSNLXqXiJ9BwxW9xs1qL99S95J9hp7fOHB3AhQv0E9qXORNfKCiIgSl3cdezMJNpPp4Dr44GTdvI+ZWJs952bsTeQ1a99+jQWaOYO+t2deNzpgm7UPMzaZyT3K/hYsXGxfIyIiSi4pR4+x43wNSW3nztb8ABhxkIww5wHKI2D1irekSo3KKiYiosSj/6ZnHikkFStXsLdqSIKtBDm0SO5jJelWL7p1XyT/fgm9dT+dgOsGA2ubeRsaDKzYYR5Dx+b9nMe7Y/hz/361BJ429+n5Uv/6evY1ioQe6YDyvOOJY2HRimVq9GGlqtWk7W2tY3bcZITfbW6/vvoYsX4fZVeo14TvS4oH2e6xT0TJXGOPP0SjJsxQMXo4mNQTEeUPfuvYm73tXkiMLe7aeze9zT2ZHbiTeu/9wLmvHlZv3mbF1uP0uZjH0LF5v+DYgWH5GCWodejdUX3JPnDALg+kkPDdoGGDa6TeZZeqH8yTlJ34+voN7D3mHpwrfq8P9xmi5lUoX6k8k6dcgtcak2C/sXqNvSX3YPJL/T6a/Mxse2t8wmsSalRQpbMry9qV78ukcWkxed2I/CRVYp/MNfaYNC/z929V3PaO9uqSiIgSX3CNvZlkmwl0qCTZ6V3XdMOA2UBg3q6Fvp97mTvwG+avE3+/8wT3fp3YW1ZgJvcFMw7LiO795ZP17tV6yB9GPByv2vVq21HuQRL/yksvqfmcUOrZplkL+xbKaW+/sVr6d+stM6dPtbcQGpVGDRimEnc/l1WvLU3uuVXFj40bI+vf3KBioljyHYqP4X3p6elSqlQpuaFxo0CLKFrw0FKF7el/Hbu9cCm1PRyss4slefT+wNxnrODc27VrqZa8S7ah+Oi1GDHkIdXCXbT4UZk77xXW1xMRJbjJ8+bIE0NHqHXdsQSchuRYJ/ZmDMG3OUPsrYQ6XBzqdvBej5z3HCH8uYVmDstHoj/9hdnqCzf50z3gevJjzL+THU2atpQO7dva13IHJkfUSdWGDz9ib30uwXtiUGofFWOE59p1b6s4twzo0099P4XUPvdL3z69VBxvMKpA+3r7d3bkhlwDo1fw/wkrgeX1pOGUfHwTe/PNO2bK44FWUbQ+dexyfL29+AIya9Zzct21uT9sy4T/bMlaY4+hQ2h53bVzh9SrdZOMeGaMnFPuZPtWIiJKRKFr7EMl4KFiS3DSH65BwIr96u2920LV5Lu3m7X3/km895wswTX7ZnKPxCRtWJpcVL+2FCvmrORDFryHHnpokBTIPKpeq0WLF8dlwozvMV1uac+EKQbM7/qxSOyxVCVWtQBMyB0Pk237iSSxh+fnz5ARQ8aofGf+Uy9yvg+KqSyH4p9R+FQ7yhklC50kRTJPsK/FVrLW2G//eKtK6qHJHbWY1BMR5SPBNfbmWvCRxEik/YboOzPXB99mMRN2fV9vEu+X1IN7u66px370kHvn+Ij17e5h+M7jNAzL18vx4rOvV/9Uycg4qK6T25c7d6qkHs6vfUHc9oI/PXWGSuoxCuO2bh3trZTb3P/Xcsehn3+yo/yh8a33qAaRQkcLyLAxA+ytRLHhm9g3an5j4OeECk4L93m1q7puy87PVS2ayyl1rC8HsZasNfbLV72iLo+k75d6jVlfT0SUn5g19k4irmvXs451Im091uop17E7abZuC/Vl35tgh+L/eOd7gXOOfsl+cEOB3/5KnV4ukNyj9x4j9tDrSw6U6e3eZc29AxVOdHok4wl6kD96530VX3r1FVGXVnyz5w/Z9tsm+e6z7eo9gBGc+ImGfgwen919RCMnjqcfr593dvYTqlHOT6jjxRucU26eY/mihaVr954q3v71D2pUDFGsJNVyd8lYY48/Wu1ubKnieB7iRERE0dFD8QE9RF5Izp3E2D+2IKn2G6JvxUicQ33Bt/aFRByPcR7rfkzwcHmTPp/gc9T7BfO8Irfzt11qMj1A/XivwQNZc2/D96JbGjeTPem71fWRo8fmep18dphDtdMeTZPbOtyhYi/cTzdUdOnZTWpUOk9eXvqqrFq5VPbuzZBfv98tp5xVXsqUOUNuaHJtRPM94TXCDOfrNrwtP27fFXhP4/19RuUKcv0VDUKeT3bkxPFQI49l137+/SfZsf1He6u1j9Kli8tpZU6Xlje3kXOuvFgloRoaUOYse04O7kuX9eusid/QOHZF04YqLl/hbN/vkDje5//ZJh/+8I7IgRTXOZdKOVNOP7uING3RQq6oe6lvOUyoGnt9PoBjD7y3oxQvF3oUMc5j9cpVKq5zcm3pPrqbigGv61ebt8nSVxfJ1z/tkN9++lVtxzlC9XPOlcsbNwiakBHfoTFaBNYsf11dAspB9mUelJIFi/qWheDcMVIIjYpXNmwq06ZNZCkQxURSJfbJWGM/qt94mbt4qqrB/OC/73OyGSKifEIn9kcKpshZFSraW7XwyTrgS62ZsAcn1v6JeCjZeYwj1PlavPv2O1ao46f/tCcwOVz1mrWSbp6dUNBjf0GN6mrIMBK4adOejst64ObNW8jWT7eoc1yy/v2Q5YTXX3+16iEFzA+FZBPff0JBQ8/EiZNDfi9CUjc5bWwgyQ0lp+YmwPEw6zqeazihzhvfc/v3f1DeW7vS3hIa/mb06tXXNVGd2VDop/K5Z8qbb75jX7OO9+Coh1wJbzihOpdC1djj9fjXrT3lt0M/RjQRZrdePQPn0uGe9jJyxKMqhimzZ8rM0U8E/g74wffk21rd4krUzfkG/OA9ufmrz+xrbvp9y0k8KZaiWu4O/4nxH3/hvBfV0KZoYNgL/vOiZQ7/UfJCstXY4/e1+JVnVXz1NZcxqSciykcO7bXqxnWNtIYEVyfGoWIwk3ok005SbMZuuodLM69bj0FS7rCOaW0L91icl3VfM3b2pYfn68cEH8s5Z2c/FgzLx5d2wBdtfOHG52Oye+2t1Sqph0LFC6tyy3iD5E4nulhSL9wcQRiRqaHnFkk9Ei8k3pg4GI06eklEQMIeak1yHBeTDuukPqXImXJBteqqpxY/2Be2AeZxON5SD29SX7bIGeoYHVv3DBwPzwVwTkiozfcw4n79egWSetwXj9Hn26TN7a594G/GlMcfc51z4ZKF1Wtlvkay/5DaVqFiNbn4wsvtjc7xdCKtj4eSW/M10scDJO/oVfcya+xLF3FGEFQ+5UypUPt0FaPne9umL1XsB8/ji82fqxjHrHmZc67IWyaNTHM17uE88driUo92KljgsBo5MOnxyeq6Zj1/94govS3cMo8YBQBZnTtRTooqsccwFrTmDR46WPbvCj0jpJ/1mz9Q/6nxn2bj/z6yt8ZWstXYYzjXvsN/qrjOxZyVk4goPylSuqi61EmrZia9oeJgoSbWcyfK7sYA93XrfmYjgj6mtS3cY0En5k6SHtwg4X6Mc57mhHvOfhxYNUAnGUievIlRMtry6Vd2dCyhOqV4XDb+L1+22o6sJfUihYQTiddDj49WvenPvTJFjdRAz6m5pN+smdPtyIGRDE8OnBmYdBiJ7oxpj8orq15Tvbn4wb6wTSd8eE/pIdvZgZEBOqnHPtOmpaljDJv4gDreSy+9IANGDg+8h/H81n7wrooB3/d0IwT+HuB54/H6fKdMGKOuY7uZbOO4Goah47Ua/Ohwe8uxc7mwmtq2aPE8eWDoEHurlQ+88/aHKsb+9PFmTJ7qeo0mzZwmmcWdv09zps+yI397DzkdcHg/Nmp4g31NVElFKP/sOiC7/mclz2jIO+vSuirG7/LFF+apGPoOGCyPz3penSdeW1zi+aEEQHtx+ouBBg+MYLGev7sBSG/DyIlQMLRfC3fuRDkpqsTedPBXZyKbSGAde838jxtLBw/+bkf5H76woEYLrfH4ULqqSWyXFyQiotjwzoofnGAHx97ec3dCrGPdIKAnswsn9ON18h2K91zMJB38EnWLc0znPtbz84Mv/BoSo/GPjravJafVLy6yI2uSLyznFe3PjOezHvZ9PFa8ON+ORNXEh2M2+iDZfPzJJ1WyajZYYDh0947O8HO9LKJp9rPPy4Ytr6kY35/++8nHvks0Y9vwkaPUxMSA91R2eu3Ri62Tcpw3lpfzHg/12Zj/QNe7w7IZb9iRyGPjxtiRyCNjHg2qFdewvUmzpvY1kc0b3OeL18pcDQv/d7FN/2hpT4xRPdzQ4t5OIY+H59E/9QH7msiP338ftkHN7LGHOlVr2lHwuZpQOy8lrL8XdS++ROqWP03Fn6zfLDu/+FrFKCVoe1vroFEfeF4oSUBPPuz+6wfZ8e12FYP3uYPe5t1uanj5VXYk8tmWL+yIKHeFTOynTJ0Z9LPq3VftW63/RH73CfVjtoqWL1HCjmLLHKaVDLa887G6rFHrfNb2EBHlU+as+GAm4qHi8D3tOtYJtrsHH5xkXC9JF/rxfom5mcwH99zr8zSP6176DpzzA/N2v4YLC3pD9QgHjCBM7T8oW8lYfqAnzcsuJLStmlxmX8t5GXt+CSTeSHjDJVFg/s4rnn+u1LnIStS80Atr9lp7h4fv2OYMm252R/iVhJC4trnnHvuatSxftPSEb4AkOZxHhj2s3sNIQotVckpwcJ4YVo7RCFlNgGj2JIerOYdQjWpNb2ymjofz6HRr+AaXy6+1es+17b9a8yBoRU6zhtuDt+MPvyudcONcMazez8LV1upPgIn6NKzshTIT+Oann9VIg1D63t9PTSA5a9ZzrqQ8u/B+1e8zvI+TfYQQxYZvYo+hKytfXyGTxqW5fuY967ScqjoUz+3hfsw/ztWrn6/iWEumGnsMy9If2rfcfru6JCKi/OP3o1aN/eGSJ6pLzUx4Q8UOv552izt299o7ybi5JJ738foxOum2EnLwJvPgJGZOr7uZ5Ot9Ow0G1m26McG63TqG3/41DMvH5GGwatFLsnDG3KjnDUp03mQWySJ6p3EZaXxjl//LMtk+Hp//6tRe6+QsUkg8wylXyenoMXuo0ciz8eP/qhjfV6+p69Rqh2Kuq79m3st2FBkke7oTBsdr3qKxikPB6z1hxhOBYe8aJpzD9enTn7a3hPZXFN+FQzWQpfbsqo6H86hSrY691R+GyZtQO28KVWOv3d3dmvgaZk4PngwRyb5e+QLvT3O0g3ks3Acz1aOz0a8xD49Dowguc+p9bY4SCteoQJRTfBN7DPnBfySzRTOnYKKJmhfWsK/FVjLV2Os/fpiAJdQQKSIiSlxlUqwa+5RMd2JvJuGhYifJDu5pB+cLvV+PvJuzzbqPmaC7k25n/368ybj/cc3GA+s2M6EPdQzveZc/2Unm0FEx49ERqoc4Weze4fTWI0nH8G8MOcdlpDHqtnOTORwaIw+jUb5SeTvyZ47g/PEv5/duJoJoTDj5NP/E1oQRkYF5LkoUiWoECHqvT7SHkEfaeBFuBKZeUg0NBvjBxNWbPtmikl/MGn/JRReHnfneK1wDmck8Hp6/Pl7DBtcEzSr/5y+hG9H8SnXxHVbnI5j3wPv6mjX03hEWSNDveaB3oFwCnYzobMQy0DVrVFaTemNCb5x7brjmuivtSGTTtk/tiCj3hByKj/9IXfv2DsxuiR+sxaiZM19G8oMJK7D8yNy583O1hTecZKmxxx8pPelLx/vuVpdERJQ/BdfYh++x1wmzdWklFe7kOJIeeee+7gYDdzLg3F8f13qcmah76fv5Hdd5Pu6h9+7nZjF7G83zgOKnnKASWnNY/thn5qoRi8lg4/tv25HI+bUvsKP4YvYsp6RknWCb7zuzF95PqPsi0cbyiHBSiRJBvcuhYBRIdqA3+8/9VtJ5xllnRXw8P2iYwkgMlJdglv6mjRtL42bXym0tW6hkHnMA+M0pkF0Y5YLjYbUr83hImvXx9HdR00mnhl7ZwK/HHsx5AcwJFZHk6xp6JP+9fEoZenW4W+4cNFj15psOZqSoSb3R8IBzR0MEnk9O/g04mO40NO62f89EuSns5HkYaqNnt8TPvwZ1t28R6X5vd9dtWf1gX3ndc5wsNfZzlj2nLvFHzlvbRERE+UtwjX1wQmzGOhG3rpt17MG19H7JM3gbCZzYyxmGr48HTmOA97Hu+1mcRgjn+fg3OJiNDN7eRr9EHwnZ4ZQjKn5+TJqMeXJqvk/ukQDu2O50dDSod40dHT90LKAXtGPH9upHL3F8vD2iR4+6f5d+zN/voYL/2JG/UPc9pcAR2X+i8//pz9932lF4OjmHQn9ZZR6RQA245n2/RmvA2Mdk0F3dVXkJZtj3JvFIbNFBh7XicwJGuTzcZ4hqFPM7HpYDRM0/OvZM0dTYa5gXQJfPbHrvncD76YO3NgbmCah48TlSTPz+BlmlCitXr5bBD4wI1OybcO5oiMDrd/vt7XKtB58ot4VN7P2UK1VetXIfLuxeNzcRJEONPVovdb0Wyh4qVs6b+QyIiCg2vDX2wUPhg2NLcG+9kyyDTphD3c9MtJ3YOQ44w/DN7e6GAfOx/j3yeh9gJmVgNjh4j2MKlTiVLVlW9dwXKFVC9eC9vPTVfP3FHrXrf+53hp9XrVPNjo4PeorR+zl/3EQ1g/m7772vkj5sC7VefG4pknmCHfkzR3Ca9/31SAE5NdPpwT+pTEU7ilw034+99efZhcYUJPR6Znh8T0cSr0fLbvjwI1VGMWfONGl6qTM83I/Z0OH9v6ahTh2/W51UIzfASF7zeF998Y4apYuZ6E3R1tgDJrPT5TOYWf+HXbtUA9wHGzepbdC04c1SvFzokRoYLXxv6t1qXgCcH84VDQ9o8AiUHh97/dBIMfmZ2db1HFS+BHvsKfdFldijrmfDJ++r2irESCInz5tj3+qGD8XhI4bKqH7jg+ph8koy1NijJu1Axh+qB6L+mQ2lfNHkmVeAiCgZeWvszQTWL/FGDKF73d23u5PlrGOz19xMDKzj+zUMOA0Nzjm6e+Sd4wQn6Pp41n3MfYRKTKxz0DDk2hxKjWHE+GKfX5P7P37eJ4czrI4OJGQ5AUOYkViiN3TMc9Pl2YUvyLgnJ6neYTSaoK55229OEhaJKqeeZUcie/eajTdZy6rHPlyN/clnWl+NMSTfXCs+FLxPzN7qGpXOs6OsnVe7qnr/AY6HhDUrz0yZoxJ5PQkcfpbZiSgSVCSsWGMdSbweLWuWwH73y/d25M9s6PBrDMPznTnpCfuaqN/xK6tXqMn0/I7nnTTO22NvCtVjj/1dfY3VIIHX+uP3NklGxkH53+aNahuet7k0XlawP5wrGh7Qk491+JHka2tfy5nGvZ9/NyaALFHfjohyT9Q99hqGV7W7sqk8MXSE75sf/3GXzlsqcxdPldtvvlX9EcpryVBjj2VT0IJastBJcl2/rGdzJSKixOatsTeZvfdgJb9W7B6Sbybc+nYnsY4u1om6OzEwjx0cg24ccCfy2O7s2+F9btZ9nGND8PFx6YwKMKGXU0PPfax7mWPlsx+/C/S0nnJW+RxZDheT8SExGtx7kErssNQcLjs1bxNoNMn4vmBUZQ7mMPVfv896aT7zd51Vj705gtOssS9evKiccYbVoIDX6Le9WXeOmO+TWnUvCUxgFwkkmPp9jON9s+s7FYcz9akn1PsTjSVopDGHo2OkJhJWM7H2WrfBmV8hK+7/hxasuqSPh+eLYe7hjrfyo/fsyBJuHoFQPfZgLtO3duMq1WCgG1Qw+zyWxvNCGQhKQho2aKryFj84d7xXew0eqCacBpRWhGuAiNSO7T/akcjFlzglB0S5JerEHkl8q9vbqCE4eshPVks4FMg8qv4IYWKKnGgBy65kqLH/6J331SXWcK1aNvwSJERElPi8Nfam4N5tJL86cQ6XZLsTZ2d7VrH1vcDcj6aPnXUcqrc+fM+93od5HiZ9HGff5vlbzAm2kDihVzQvv7fkhu8/3GJHx5LabE765qV7P8+58uLAzOhIqt7bvEp+/tN6vQ/+mhFV0osGB11XHcma++bojKxr7J0E0rwvzq/uFc6cAwuffTTs7x/Pc9bM6fY1kXa3tLGjyLVs2sqOROZMnxX2eHhNdTKLXuor6l6qYu20MuGTR5zv+yvX2tey5vxfcaSnp9uRyMlFnOXc/OC5rHjRWSobvLPiR1JjD0i+9f9PlHro+aSg4U0325EbRmPgvrt2fqmWMQz32pY89YgcLmItIQqnHHHeT9llTh6YEw1oRFmJKrHfffAvGf/oaNmy0VrjEzDsymxV1dAiN2DkcFVzo2tXMDFFXraA5/caeywvov/go9WciIjyr1Dr2JsJjuZOdnXi7JdY+08+Z24PHWM/uvfc2m4e14pDNSZYcfC5m0m+f8+99XjQx7bOwzw2Lv2O490fhkWbPfdI7jEsPz8thbf1G2sWcShf4Ww7On74DvJAt05yT497pHu7TtKjRxcZMWSMZP7+rX2P6F115RV2FLz2/vEIVWMPNzW8IZBAbv/6B+nXr5dvQohtTw6cGfjehe/Dt3W4Q8XRuKXtzYHjob77wVEP+b7fkJQPHuVMRIeVq9AQUapUKXvLse/Zb78lG3f/bF9zw7J3/bv1DvS2a95RFGZDhzkpoGYOef9k/TrV2OAH29u1axl4fbRfC7gb5CKpsdf0cnZ4DsgptIH3drQjN9Tm62UEkWSHq51//qk18vvvVqPDpVdfIVVqVFaxn3ANBJr5uvhN2EeUG6JK7Hdu/0JWrVipYiTrmCADk1D4tUJhaEuH9m1VzQ1qV3Ry//zMWeqPU17I7zX2j42z1pTFB4TfkCQiIso/Qq1jH9yT7U66IVRi7Z6IzmFuDxWbSbnebh43ksYB89z1/swE3S92knN37747wXc3Cvi9RibvsPxnFy61ryU+vTwY4LmdW7lKtn7MxAVJN+YmWL9ug6oVr1TtbLVEGb4nmq9ltJo3ucWORD5Yvc6Osvb7AXcy6WWO4PT27iOhm/6CkwDiOV1fv4EavYEOLiR1z8+fobZt2PKaug++497dvbOKo4Xvy6jz1pCwNmjcVDWUAI6HY3e5pX2gBxivqZ6U7obGjQLfsZFEt6tWQz1WJ5/4PWHELJa9w+P1fbXPdnxlR5brrnWGvGN/WIsew9h1SS2+X+p9IMFGAw7OTzcQoAEBx8OkiWgYMWFuh3ATBobrsQcM+/dCCUioSfPw2t4/wOnowvsdzwfvVyzXBzhfDNfHbQULHFbbrr/CeQ00czRPm9at1WsSang/mOvW17nyajsiyl1RJfbbNn0ZaOlDSyGGxUQC99NrUO7+45ccmwU0Wvm5xh5/uHWrqG7RJCKi/C90jb1OdIOTYivJDRUH95xHm5Sb251k22/ovhX70fvTCXqo2NyPPn9zn8426zm6uYf3m8wv8vllWD4msPP22GYHEjtM/KalDR2pto0cPVY2f/WZLHlpkVrqGD2mutfXb3RnVtADrpNI9EaHY77/olnH3q8eHx1WeC76PYDXDO+BK6ufL/Uuu1SNRNCvI5JsjFCN9DuxHySg5vHwfQ4NJWhAwfFwbH089P6mDUtTjwFcogNNPxarO+CxeBwejwRb924jCX76lfmuxhZ8t/cye5jRGIDyWyS+GvbhfW1qXVBDHQ8NCObxZs6eE9jfvsN/Bk3ed1LB0+wo6x57MCe5gytv8O+t19DJ2Kplq8D7CM9nUGofaXJZrcD5ovEG8Jww+aDfyAv04mv6NUFnp9+kkGgA2vi+NZcBjpvVSgREOSWqxH7zB9bsk6h5Qj1VNFoPfkBdot5+4/8+UnGs5eca+6WvLlKXmcUL8Q8IEVESCV1jrxPd0Imwfxzcox1Jj72b3p/uOQ/foKDv6y/4PmZs7kczGyac2P0crVi/RsEJfqhh+Ymc3G95f2dg2WL8IJHJToxJ2kx7/7Dqrs2Z7NGDi2HlutMhu506V7Vori6xn3DD8c+vfUHgHLMSyX2REE5d9ZpKCv3uh21IAifMeELd93hhHxgpgFnm/Y6H88U67BOfHRE0KhONCpMnTFHlr36QWKPhYOLEyarRomv3nmp/+NHf7U3Dxo3yHT6uR9xiHzhX1VtuJ8wm83gYAXBHuw7qWJXOqiJf7txp38tS9pySgd/FiSdmndg3rNvEjqzfwbU3Zr2yAxqZJs2cFvJ8sQ2/Z7yGofKbQd0HBDUq7P/rb/lhi3vOADiw83P5bMsXKsbEfmYjGFFuSjl6jB1nCUNr0AqH/4BY8i5aaBkD/NHyG06Tm/BB3KZ1h2Mf8IVV+UB+gnqqAbfdoVoQL6hWXV459kFERET5G4bbomcOy5viC7OGRFYn5khWrd5z3YONBDir2BTJ/ZEUZ9gJsvv4mnUe1u2hYgg+3/DC7cufPu9QzzfY3/sPyU/7fpJCR62+ECQsOZHI5ScYkoweTCRIVzRtqLZhkjb05mIbLrP7uiGZRw8rdGzdU4ZNtDqKYg3fI/Vk0bEod9THQ6lAzQtrBHroI4EEXDekHM+5Rvqcc+p4kUBJgB49gIaMSWMnSDSTMoJ5vki6o3ltzdcEk0X6LSs94/mVMv7BHirOi5yHkldUPfYlC1r1fH6TaWQF/xHyWn6tsc/4fJuqaYOLrr1OXRIRUXLIeh17K4FF4ptVDGZvt+6Rz+qxZkLtTerBud1dE2/GEHy+FvOcQF+37m8+1opD0732wc/X2m493jz2iSWKyOklT5cj6dZ3HzSmILmIh+818QI9ok3a3K56J7E6z5Z3PpaL6jdQNfYPjLxPdQh5e2ojheH8uvd4zYcr8ux1R/KHpDW3E1dNHw893tEknoAe9Zw410ifc04dLxKb3ntHXWYeKaRq4aNN6sE832hfW/M18Uvq4eONr1jB/kNy5/81smKiGIgqsa92nl0jk7436gnw3n7DmRikVs3z7Ci28muN/cplywK1V81bNFaXRESUHLKusbfiUAm1E1vcDQNWrXyoBNqM/XgT8qyH9DvnHKp+H8zrofap6YTd2a//87W2Wwm/PrZ+DJL7s2o5s4GjxzC/rnOfXVMmjJGnXp4ki+YtkVdWr5A5c6apIeJ3tu8mixYvDjlzeVaQSGEoN2Bk4toP3lUxJR/kHlg5AMqUOTlbqxDkNiz3qOcYSB02hEtPU0xFldjXuu4i1UIGk9PGBmaUzApaV194xaoBL5JZSM6p4AwZjKX8WmOvJ5RBizhaIYmIKHlkXWMfOvn1S6jdQvfS+8fu/XgTcjNZ94/9J8ALLXSDhT4fnbBbl04jhLfRwbxNvy7O/ixm7XN+mVAvJyGJwazy3l5QXA81c3kkMIQf33Fg8thJ6pLyP/zfQjKPS0wSjWUUtZ7/19uO4svwsUPUpZqDoU8vFRPFSlSJPdamv/qay1SMGSRnPDoiy5573I41QPXa95dcd71Uq3quimMtP65jj9ozPTENZkklIqLkEPk69qGTXycOnkTO3E/WCblOgoMTaHD2FVnjQKjYurQEP84d6/MxmY0a3kYHs5FDvy7m8SAZ1rmPV5ikDvX66LV/ZsoceyvlZ/i/hbX3b2ncTC2rp7/vojTj3tS7VRxP8J0c+RE6Qc1l9ohiJarEHi2ut9x+e6DXHhOltG3SRlrd3kYmPT5ZtaapN/WxS9SfNW/eQtpd2TSwjAT8a1D3bNXD5IT8WGM/Z/osdYmWQdT7EBFRcoh0HXv/HnpvrBNYp8fcvR8nQQ61D3eDQrhZ9rNqaLCO5Rdbl1ayH0ljg8VpEAi+zaHPw3lOzrl5G0sws7yGYfn5aZ37eIURiS3utXpspz71RNQloZR4Kp1cTjXk7EnfHSg5xffdwb3jL2nGKOZXXnpJxRfWvoATbFKeiCqxB9RL9R/0QGA4WsECh1Vv/JTHH1NrZWLmUlzig07VwZSwPoBxf6xlmZdDxfNbjb1Za9TommvVJRERJZdwNfbgToZDxaETXisp9k+OdeILwcPunds0ax/unnVv7E2ivdedxNtsPPCL9Tk7jRXmbZp3/+Z9Ne9zQ829/h4EHJYfG72OJfZ6Ij2/9dcpf6lerar6fWOUTOVzz1Sz4Ktl9uKwI2v35v+pJe5wrrNmWZ1uRLEW1XJ3JvTKz1n2XGCCiFD00ifd7+0udS4KXhMzVvBh27lzZxXnl+Xu8CUCXyYw6+aY56arRhciIkoOerk7fAZUuLCavdUNSaxOVCOPix+71MvXIQF2Elw3JM64HxL94PsgYbYSYn0/6xgOc9/hjhNKqMeH2lckx3Du45x/MPM1Q4+ihsTjkWEPB9WYU87B97ntv/6gYs4rlBzwO4/3/1N8X1I8yHZib8KXi80fbJSt33xtbxGpfs65cnnjBnGTbOI/XH5axx7P5/57h8mGLa+p1kHMOMsvEkREySOSdewtkSbAwYmvk8Bat+nrZmILukHA+3g3d4Jv7sO7Pz/e5xXq8e59Ocd0tvs3NIQ7B/exg18nM7lv1bKVWv6NiIgolnIksU8ESITzU4/9d19ukutatZWCGYdVD8GMyVPtW4iIKBnoxB7z3lSsXMHe6hZJ8msmrdZ2M0F3J/QWndgGJ7jgvq8fv8f7x+F6zS2h9+FO3s3bTMGPz+r8Q92+639fHjth7MNK7m/r1pE9d0REFDNR19gnsvxUY//amg9VUg93t7hLXRIRUfIJV2NvJrb+sbt+3Nqu69DBSnrNunrndn1pJbM61vtGUq45+0McvkbeuT24th3M/YbaB2LzOTq3mefqPhbuA+7nGsy9XwfKIY4UTFExJhdeOGOu7D6Y/1bjISKi+HTciT2WeEFvOD68cKljbMcMkXobfjbu/lktUZJXM5nmp3XsV76+Ql1yNnwiouQWbh37UEmvEzvMbU7yip5vbLeSXit2knfrUifETgzuBgOdLGfd2JBVYu1N9kPtT9MNAdZt5rm676+fv5Ps623uhgvN3cBgKX+ys1Y7kvuJg4eo7z9ERES5LVtD8TFx3sqP3pNN771jb7F6w3XibMaAD+E/9++Xvdt3yMnlTpNp056OeTKKD9b8UmOP1x8rD0DfAYMltWdXFRMRUfKYPG+OPDF0xHHU2Pvf1xrCbg7HB/fjLOZwd3fsvS+SYp1ERxJD8Lm5eW/3Pt6PdR/nuUXymOzYuX2XWjUI6jeoJ70GD+SwfCIiylVR99j/56110q13u8Bydvpn+9c/+Mb4waQy+9L3SoFSJeSPIwftPcVeflnHfumri9QlVhxoe1trFRMRUXKJdB17JLFIYINj//taia6T+FrMx+mebPcycmasWfcze8ad3vJwMXjPzdtD7r3d3dOvz9Gkz8N5LuYx9blazMeHit3M7WXKnKw+o2H9ug2SNuJh9twTEVGuiiqxx4fSpMcmysEMq4YsYL+nFf/YdV1nZsKw8cY3NZXzale1t8RWfqixx+9g1YqVKq5drzZnwiciSnLhaux1smkmvf5D3d0Jq06igxNv0Em8f8JrJuDuRNpMoM2Gg+DYT3AjhMU5nns/wefo7Fu/BuYx3ecautEieL/u1wfbTypRQkqdXk5dhy0b/6sm8GVyT0REuSWqxB7rM+78wl7S7ljyjtnYez86Qkb++wkpV6q82oyl13pPHiMPPzxG2ndPlXq1blLbodkd7dXs7XmVjOaHGvu1H7wbGPVQ52LW1hMRJbtwNfZmQmomuE7sTYQt7iTaSnydBFontf7Jr/uxZtJrJtDm9uBY8/bSg3Vs537BPffmftzPC/S5g3mbX2OGxa8BI9Rr6x6dgO9EuuceIxiR3KOcjoiIKKdFldh/8NZGyfjngIpbdbSS9F4d7pYO7dvKxddfo7bDHTfcrLaNGtRfZrw4XjrcY9WDY/h+Xk2cB/v3JfbstJiM8IPV66RA5lEpWOZsuapJA/sWIiJKVodLuofiByfDwYlzqNhJUIM5CbST1Pol3pqZQJv3M7f7xeY5+PXSW8e2HmOyHqefhzPbvfscncTbe+7msfTj9TnpxzixdRy9D/N2L/Tc61GMSO579U+VAwes71JEREQ5JarEfse2L+1IpPXgB+zIcn6d6uoS67iiZ18rVqyY/Cv1fqles5a6PjltbJ59oCV6jf3pxQvKxo//q+KzyvwtF5xyuoqJiCh5ZVVjbya5WcVm0moxe6uDmccKlUCDeb9QZQE6Dj4HnWCDPh9vQ4RTPw+hjm0+Z+/rZNKPd5ctmMe0juO3D2+DAZxVoWKg5x5zDl1d/yrVc8+h+URElFOiSuz3ZVpDwFErX7f8aSrWLilv182XKCI7vt1uxTYMvW96YzMVf7blC/lsx1cqjrVEr7H/ZP1mNREhdOrcS4qXc5bVISKi5BSuxh7MRDmSWCe/OoHVt+kk2kysTaESaC+/BgVwP0b33Ovz0wm2Ph+dwFvbzcf6JdaaO1HX3EPtwdmHdRz9WoB1fC/n9QjVYICeezO5HzxqsHy1eZu6Hq/Q8IAGCI4wICKKf1El9homhfEyl6/b8mlw4n5TwxvUJT7MvIl/rCR6jf2cZc/ZkcgNjRvZERERJbNQNfaRJNB+sU5czWTfSajdPeOhOAm3k5zr5NlMrv1i/Rj3cZzjOUl48DmDu4FB39d5Hu7HI3YPtQd3cu4efeAk/WaDgHu/4L0OZnKPhnosXRvPifPkZ2arc7yx6U1M7omI4lxUiX3JgtbSOn97Z8G36Q+r7Z9/rC5NVWpUtiORX9/72Y5iK5Fr7NFqvmb56ypu1bIVZ8MnIkpyvx+1RtF5a+x1Emslo9mLcamTXneC6lwP1zOuE2RrnzrWibt/w4LfY/yOFaphwO98/I7pPMZM2M0k3aFfA5OT9JsNAu7kH/R1c7+IkdxnFi9kbxHp0LujvPbW6rhLnNHgsOxYYg9ohJj97PMqJiKi+BRVYl/tPKtOfk/6bt+6sIrnn6suv9ryrboM5ccSf9hRbCVyjf0bq9fYkUjTFi3siIiIklWodeyRcDrJZHZjJ2nVlzpx1tfNXu3gXmz38Ha9T7Ae725MCL6vFfsdK1TDgLuX3Z2U6/1YnOcIOnbfx2Ju82s4cM7VfA3dr4e5Dx1XLFtBlTVCwYzD8nCfIXGVOKORAaUCesJkmDVzep5OgExEROFFldjXuu4iO7KGZ3lVP8dK7P0S/3hY3iVRa+zxAfviC/NUjKVzal5YQ8VERETBNfbunujsx6B78IMTZ1NwL7Z7eLuO/RNh//si9hOqx97NeR5mQu5tnPA+d+ucnEtT8PMP/bqZrweYSb+Gskad3COBnjQuTebNX5DnE+rh+GOenBqY00dDKeXCGXPta0REFG+iSuwrn3JmYHZ7LF03oE8/V8Le8uY2diTSr1+vwIcTLqfPnaxiuKbu5XYUW4laY4/JBn/8/nsVn1/7Ajly0kkqJiIiCq6x9+uBjza2klr3UHmTO+n14+zT6YUPnZTr45nHtmJzP5ZQ5w76/k6jgJmQByfnfr32ziW4928Kdx4Wvc3aX/BrZib3MHzIQNVxkpfJPVY2WvHifPua25KlS1TjAxERxZ+oEnvUdbds2sq+Zv2B79Gji2z7bZO6fl7tqqpHGdav2yBtWreWjh3bS9PGjdV1wAfYmbVOVnGsJWqN/Zb/fKJayo+k75eL694i5Ysm9rJ9RESUc/xq7P17kiOJdRJqJbVWbCbXThIM3uHp5nUncTd77IOH0Zv7Cz6232P9z13vx7wtNHeDgfMYi3Wb9XizAcL9fP3Ow2+/uqHCOX+TN7lHx8n4R0fb12IPyxLjOweY56XnUXps3Jg8H1VARETBokrs4d7Uu6VR8xsDf+AxfKxq2ToqRuLftXtP14yvSOj1BwQ0u6N94P6xlqg19h98sVFdFjztArn2xvIqJiIigpytsXcnplZsJsvuRNfbA+6+biXo4B4C706Y3ckvjhccg9lQ4Jyjjt1JtsW8n8Pa5t9g4N6Xdf5mY4T3+QWfh/la6edvNlS496cfj+Red4wAOk7QMRLrBBq98bojBueD72xwOOWItLi3k4rxnQ4ND0zuiYjiS9SJPcyYPFUeeny0SvD10Hzt+ltbyICRw10fUIBW374DBsug+3raW2IvEWvs8cH5/sq1Kr6ucc08axQhIqL4lLM19u7E1LyPmcRGwrm/OyF2EludOFsJMVjHc8fmca3YPF/3Y/S+9GN0Y4D/SALwe+7mMfX+nQYGCD4Pd6wfr+9nsS7N/TmPseC7k+4cQYLdv/+DMZuwDqWV44aPVDG+sy1avFgO/fyTdb3QSXLn/zWScqWszoVVK1aqIftERBQ/spXYQ5tmLVSCv3z5MnuLBcPEO7RvK6+vfE1eeH2pjBw9VuY+PV8WrF4rqT27SrFi1gdWXkjEGvu1H7wbmJX27hZ3qUsiIiLNrLG3EsnghDnyGLLutQ89BN95rDuB1pwE2Lqff0IM/r38iK3zNc/Be19nn9Z9s+5pt4Q+J/M10reHeg31a+W9n9WgEXx/NyyHp723dqXc165bTJL7OcueC3zfQE89RmEWLWW97vv/+lt1LEycMEldx/26t7N68ImIKD5Eldij93jYmAmyaMUy+e6z7fZWf0jgL6teWyX59a+vJ+eUy5u6elMi1tjPmT5LXaL1HK8jERER6HXspYTuEfZLgqOJnaHu1nYztu6jhR6C736sN3E1h71b93Mn2c5j3ccwh69r5u3exB38kmaLO3E3n19W56Rvt4R6PTX389evr/v+fo0f7p57rDQ0asCwXE3u8b1uzfLXVYyRmL3sYfcH063nWqKwVe6B7yEYrQkYko/vhPG2/j4RUbKKKrFH7zEmdRmU2kemPTVZdh9MrEQ50Wrs8SG+9dMtKtZ1bkRERKDXsT9SMEVdOszENprYW/ttJZ/mfbw99aF4e9D1/pzE19ofmImueVyTflzWxw89YsB5rDtxN5+f32PNY5qx+/VyNzz4P3/nOTv3dyf/pkLFCweSe3wXQA85EvCchk6byWOtnngY3HuQ6q2HIqedri7/OGI3Ih3zyLCHA+WWy56ZLZ+s59r2RETxIKrE/q23nKXtal9eN+FmZ0+0Gvv/Pve+HYk0vfRKOyIiIjqWEu61kq0CmUfVpeZNKqOLwT2E3Nnu7hl3J7nu5NTbg27uz/9x5rF0sqsTfH3p3a8f94gBk/lYM3G37u99DZzHmo8LvQ93I4L/8/dvdPA+FnA/TKiHYflFi1u/X/SQP9xnSI4vN4flifWa9e27p7pGB+oa+5MLWI1IgKS/rd3ZgCH55nLGRESUd6JK7Isf/seORKqcepYdJY5EqrHHaIj1P1iT5qFl/JQ6zhcbIiKiIqWtZCvzSCF1qXmTSrASyvCxk3C7e5HNRNzkn+R6P6uCP7vcj7MSaX0M67juhgW/Yfig7+u+BDP2P39nn+7edOe+7n34c/f8Q/CxzP34NzqYz08/3rmfSJmylSWlyJkqRiKNCe6Q3OfErPQYAbB5g9XjXvncMwND8L32Hf7TjiyYM0lPnoxJ/ri2PRFR3osqsUcvvbbyo/fsKHEkUo39N+99LO/890MV1734Es6GT0REvlJOCJ2AuhNFs1fa20Ptn3CDu6HAn05OzSRVJ8zWpV/jtLNNH8M6rk7oreelz9dJkM1zd0YDOOdsxn7n7y4J8L+vud05T/1cnHML11MPej/u8zfjUOdqNhKccWrBwJrySO6HDxkok5+Zra5nFxoGMI8P9och/7fdMzQwBF/TQ/ExK77XsHGjAg0OaGyI1ez9RETkL6rE/orGN0r9BtYQrefHpAVajHOi1TgWEqnG/rtfvpeCGYdVfHnjBuqSiIjIyzsU3+RONM2EOVQPs5NQI+n08t7f28PsN8Tcus2drEOonnh9XJ0QW9yJu985Wtus62bs0Le5j+v3GoBzDKdxQj8X81zAua+buQ/zMToO/RoENxJgaL5O7gFzHg3o0y/b38HeWL0mMI9P7Xq1pdudTVVs0kPxvT32gAmShw+7U8VoHJicNjZhvg8SEeVHKUePseMsZez5RZaufltmTp8aqMfCMPFKlc+Q08qcHmjZBXwYmNcL7Tkqh8ulSOkiheWqJg3UB0Is4cOmXbuWaji+d4m+eNS8eQv1gVu2yBmy8YvEGx1BRES5C43r6LkFPZmZhmTVmxj6bQuG5NdJVp1kNDLmY5wYPdQZgVjvX8f+j3HicPsxb3P26wi17/D0vvz3aQn1nLyvs3meaOhwx5bQ+zLp8/9z/345nPGXSqYBs9R36dktqu9VWLO+YxerTh6NBStXrw7qrQc0HCxZukT16G/+6jN7qwPfrTp37qy+r+A+Dz0+Wi2HTEREsRdVYo9hVl1ucSZMyQ784Z827emYL92mP3wgERL7cytXUZetWraScY9PVDEREZGmE3t8rpprn2ePmYDq5NdJMiNrFAAzMQ2dpEJwoh3qseH3ozn7C9+QYDHvo1m36/2Y5+e/b0vw8zg+/scNpjtYAPXuGBofSXKvvg/9q5Ns3fipuj5y9Fi1NLEfLGeHkQFYeeHbb761t7qZjQTlSpWXDZ84E/8SEVHsRDUU/59dB1RCn92kPq8lSo09Pki1B4YOsSMiIiJHenq6uszqM9lvqLl3G5JV0MPnkVCaybSZ1Hsfa17X+wEzNu+jYydhRbLsHM97bGc/+n5mjGTc4uzPf6i7GTv3cfapb9ePdcoK/GryzeOar5nDPD+/2Lm/Ozb375xDMHOte/SY9+/WW777bLu6Hs5Xm7fJj1/+oGL09t/a8mYV+/GbFd/LXNsea+4j0SciotiLqscerbzRTNaCYfd7D7mTaWxrdtdVMZ8MLpF67Bs2uEa1xGOG2jfffMfeSkRE5Ag1FB+Jc2S961lBcukk2NGL9vHm/ZHsZj083eQ871CPDbV/L+t+SLb17VZsDZ8P3q73EepYkQu9b//fq3dYPobV3z9gkNzQuJHv0Ho4cOCAzH72edmy9RO5u8VdYUdQjuo3XuYunhq2x17DsH3olzY64ZZDJiLKD6JK7BMZEvtEqLE3h7T1HTBYLSlDRETkpRP7wylHpNJZVvlWVvySQ3Ob93Yzoc2aTpaDE2B/7uQ61P2d7e6EPXRi7jD3qePg4zhJeKhzcAtO4P2OA+7X033+zuPM1zd7DQLpP+0JJPfoxR8wcnjI4fXRGD5iqMx7dr7ap1+NPRERxY+ohuInukRYx37TNqvmDR+i5SuVVzEREVEohfb9bUfBkFiavEk9mNu8t1tJqJVoevflXEfCiqHkepi6dX+d3FrJqpv7/uBe9s08ljMc3bx/8JB4zdq3td28j46dfejHWgk26GOZ+wDzfJCcazp29mmer/f1dM7f/Tgzkdfn4n9skz5nwBwLRYtb/TRI8NHgg7I+dGocj4Pp1rn5zYpPRETxJakS+3ivsccH8Mb331YxPqQbXn6ViomIiEIq4SSBXn6JvBYqYQS/27z7cq6bCatONnWy7ySxfsm6c38nuQbzWE4i7ewTrNj9ONDJsv++rUTV+1iz8QC8Cbd5Pmbi7sTmuQWfk3Xd+T25n7/7eYU7trkf/ZpbikiZspVdy+FhWeIRY8cfd3IPfuvYExFRfPFN7Bs2aKrqvDt2tIaE5xfxvo799l9/kM+2fKFiLCEYqj6OiIhIQ/2zKVTC7t3uTdRN4W7zcielToKsE0996d6nmUCbiaq3kcJv4jpwtpuJtl/jAXgT6eDHOom083zcCbfDr9HA/9ws+rp1DH1/0NutS/N4fsd27wec52ttw1r3er6FAqVKyKpFL6n5hbKb3Otli/84clBdEhFR/PJN7Hft/FJN3vbVlvATpSSagwd/t6P4tP3jrbIvfa+Kb7n9dnVJRETk59BeK9kqkOmeKidUUh4uWY+kMSBU7E5KzeTVfySBeVvwY5yk1bzuPT9zOLz5GPM5+t3Hmxjr+5jnFNw44U64QW93YvMcrf07j9HJv/uxzu2a2Tjgd+zgkQChfqdI7nWDD2bMR3KfndnqI5kVn4iI4kPYofh/H/sXDuq3rr/+arnrllS1xn28i/ca+1ffWGsF+w/JTdc2tmIiIiIfRUpbyVbmkULqMhRvUgzebZE0BoSKLWZS6k6g3cdy9zpH0qsO3uOZj/NPkp0EGvQ+NX1O+j7mOZkNAtbj3Am3cyx3oh18js7x9f7Nxzr7dM7HPM/gY+v9gPNcQjmrQkXXcni9+qfKohXRTR7MHnsiosQRNrHHkK5wtn/+sWz/+gfZsvVttcZ9vIv3Gvv31q5Ul0063y3FilkfxkREROEcLRi+ET44CfffBn6NAOG5e7PNxFQzj+WXNHtjnQT7cc7P/TjrMX7n4r9P9/M394X76kYDs3HB2bdfY4TJup9OzvXzNRN88/WxYn0+5nma+/b+XszXMdzvDPP16OQeIwIHpfZRqylEij32RESJI2xij/VRwylaspS6TJSW3HiusZ8ydaYdidxzbzs7IiIiCi/UrPiRJunm/UIl/H504uwkvzoOHjKuhUqK3QmyToqtBNncl/f83Imy37no/YB7Xxa/hF2fv1/jATgNBMENFd4RCc5jnGM7sfl4L/O24OftvF5Z/c6Q3Bcsc7Z9TWTc8JFqzflo6u45Kz4RUfw7rh77g/vS1SVack+oEP89zPFcY7/gxfnqEnVxl1WvrWIiIqJQfj9qN6qHmBXfm/CFSvT9EkPzvqFinVzqhNbkvs1ixe5kOVysE2QnOXZY99MNAOF6r81ed70v81z9E3bzfmasj2tdOs8TrPuZCbzZkODu/dexs8177ub9Hc59nHPVgp+747STMgMz5mM5vCVLl0j//g9GnNxzVnwiovh3XD32Gnrs//g5fItxPIjXGnvMT/Dzn9YHeN2LL1GXRERE4ZRJsYZHRzorfqSJPpj3DRXr5NKd0Opk1rxNJ8hmEpx1rB+n92vG+phgJsDBjRR+ibb1OL3db/9WbPbGW7E+rnNMa1/ma+k8B/f9nPNwn5Omz926zdovmPv2Pj9nP37P3c2cMR9Q/odJ9cLNkcQaeyKixHFcPfYaeuxPPi30F4R4Ea819lv+84lk/v6t+nJ2eeMG9lYiIqKsZTUrfk4k+n689/cmvc7tOpE1E+rIY71fM7ZuB7NX3GGem5lcO7G319zvWJE0OFjM19JpEMi6x95sPNCc+1n8EnZrv/69+uZ5+b02SO7NSfX6d+sdclI91tgTESWO4+qxT0lxPjgTocc+HmvsDxw4IF9+tUXF5U44Xc6pUEXFREREkchqVvysenK1yO4X3MPscG4D83a/pDbSWHMn63694qHOzUzEdexOqM1969ivxx507E72Hc75ZN1jb91uvm7+z9dNvz5WA4Sm72/u0zm+W6HihQPJPZY3xqR65lw/GnvsiYgSx3H12B896nxwFsk8wY7iVzzW2GdkHJQ1b7+l4gq1T5c6F9VSMRERUSRCzYrvlxh6t4VKHs3tZuzXw6yTVOc2M1G1+CW1kcTm8cxk3TyW+Tg/TiLuJMPepNzct46DE2RvsqzP0z8Zd7+2fg0X1uPM5xjq+YKzP+s5eI/t//ro+1l0XPqU4kGT6k0al6aWMTbr7tljT0SUOHKkxh4OFfzHjuJXPNbYf7V5m1qCBlq3aKsuiYiIIhVqVnxvYgjebX73AXO7GTvJKbiTXn2bX1LpJNJ+CW7oOLpecW8jhJX4mvt1klwrOXYn38FCJd36cda+nQaFUK+bvo91fB1b+zPPP9TzBe/vyntsk/mc3fu3Yn2pJ9U7km5935s/fYr069crqO6es+ITEcW/HKmxB9bYZ8/SVxfZkUiH9kzsiYgoMqFmxfdLVrNKYLO63eIkxu4E1Ym9ibSOnaQ4uh57vV/3+blr103BjRBm4utuBABvsuxwN1o4scX7uHCvn3Wuofann4u1zXmd9HXnNs19/3AxuEcVONsd+K53Vq2agZKO9es2qLr7b/b8oa4DZ8UnIop/OVJjj5Zc1thHb/fBv2TVipUqrt+gnrokIiKKRKhZ8f2SVb9tZjLqvj04CbRinRjrhN26nxmH6uE2e6JDPTZUDO7zc9eug39irc/JSmyd52PGDvf9ghst9O1+/F5fi36tQu1PPxdrm35e7t586zYt+P6hYvO11Nut34N1bAeulylzsqvuvlX9K2TrN1+r66yxJyKKfylHj7HjgHMrWxO44Q98xfPPVbGfnV98rdZDPZxyRCqdVSXwwYpadgx7Rw85kmnzeqXKZaTv/YNiXkuOmrF27Vqq81i+3H/211jDLLSYsAbGTHlc2jRroWIiIqKsPDNljqSNH6FicxkzEz6XQyedwZDgWYkgIDFEQqgvHeb93I8B8/5IlDMCt5vnE2ofwftzWLchObV6ov3up7eH24/FfZ7e5xjqdvMc/Pg/x1DHMl8f//uY+wvet/laBL8uoeJwdv62SwpmHLavWfB9cPNXn9nXiIgoHoVN7HMDehaenzFP6l8f2x5qJPZYrxXiJbHv2LG9GvKG+rZF85ZIlRqV7VuIiIjCmzd/gQwfMlANoa5YuYK9NWvhk30zuQxOBoMfGypJjSSR9E9kzVgfz9qXN5l2n2uw8PsEfY7muUYSa9a24scunecdTrj96et+x4me33P33+Z37hixqef/0TZ8+JGUK1fWvkZERPEm7FD83JCXM6vGU439d59tlx3bf1RxjVrnM6knIqJsSTnBPazaSta82xzepB6JroYkz4LETw/jdpiPtY5hJYo6tu5vPtaK/c7HOZY7dpJP53jWvsxjgbt+HMzn4txuxZr5HKzGAve56m0QKtbH0edlPt5h/h6CXxPvY7zn4veaOdz7Do7dvxcrtl5jvU1f+p076u69o0DQObL+zQ32NSIiije+PfZ+a5nmmGN5fdubW8e81Tfeeuz/89Y66du1hyplaN89VUYN6m/fQkRElDXdYw+hhuKbzJ7qrCDpsxI+S+jHIiHUSbMVm4917yf4dod5W6ge8OBjRQ4Jb+he9VDnHCr2k9V9s9qv32P8RHo/S6jXzP/18+7bOywfQ/K7jBggvTrcbW8hIqJ44ZvY50fxVmOPtWKxrAw+JKdNezrmpQlERJTYwiX2kSTx/vfJOvnzPi440cxqH9a2rM/Rup9f4uvE/gl7uIYIfX/3fbznGeo5RHc/6zzRE5/VvpzYe17W+ep9+N/PPI7/6xT8e9KPcV4/83ys2//44Yj8dsgaXYj5lAodtQZ6okOi172dODSfiCiOxHwofl6Kp3XsN733jrosVLywnHPlxSomIiKKlp7J3OROapGwBfNPfK3EMDh2eB/nJIv6OO59AJJQsLZb27zn6DzG2g8STtD7txJXixObM+Q7z9N7jvr45v3d99Hn7D42hI6d5xIqto4V/j5mDN7zcu/DOb55P/M+Vmw9D7/XzDqeM1u/dQnW4/Vrhe2/FPxFxdDk5maB95pe755D84mI4kdSJfbxVGO/9dMt6vLmljdK+aLxtQwfERHFv/T0dHWJkq5QghNIJ/k1OYmvNzHUSV8w8zHgJJ3mWvYWnYSG3p+TYOr9mOcBoRJsM2kPxZvo+7GOp5Njv0aE6GLv6x3JY03W4y069r4mFnejiBXr37nzOjnPzXmeel/msczX6tTMU9UlEvpa1S+SFvd2CiT3mPy3V/9UVVpIRER5L6kS+3hZx96cw+Dm29vaERERUeRKlSplR15OoqeTZWwzEzozkYPgxNe6n5m8exN572OchNZJ8L3HsQQnk1ZsbXcnr07vf6hk2DyPUPs0mfcxbzefX6hGhGhi/Xrr40XyWPMcnOeof3fOa6JZ+3b3ujuxsw/ztXDH+lyd11PD/XSPvdV49IOUL1FCuvbtLZXPPVNtx8z5Xbrco77XoOSRiIjyTlIl9lhPPx4seHG+ukRN5GXVa6uYiIgoO1D77KaTOzOxNofHO4mis80SLnkPTv4tzmPMHmFwzkOzjqfvZybquF/wEH5wklP/ZNgUnAy7nze4k13nOObzc59b9mPnPMLdX79e3kYK/Rz1c/B7Ltbra253YjB/J6FicF4HDbeZPfYiVjL/999/SbOb28qVDZuq916BzKMyaVyaPDjqIflw62Z1HyIiij3W2McYPvR27dyh4oY33awuiYiIsqvQvr/tyOIkdqF6b52E0bwdQiXvJmv/TrLuTkb9EkwnITUTWuc8nPt6k2Jru5mEuhNah/u+ZuLvPEcnQQbn9bCObTIfn7uxPm/zuYDTIAA6dl4fM8k3f4/u36ludDGPkVXs7PfY3jLd5R5I6k88sbD6ufyaOtK2RZvA0Pw1y1+Xf93ak8k9EVEeYY19jP33uffV5ZGCKdL00itVTERElF2HS55oRxZ3wmombd5eWvAmlA4zwTNZjw/u4QUz8bTuZ+3fTDz1fs1tfreb281toWJnH855eEcgmPfBY8A5ZzDPN7dj0OdtPhc8X2/ir+n7OYm/+Rz1bZpudNHHiCTW+4Uj9nlkHimkLpHQAxJ8OShSqWo1VXf//+29CbxdRZX2XeECCVMIQxKGQMIs0CSCAoIK2oqAgMQQEQLSQCMEEAGhEWxFxQEEfLGbhhf9VJRWbBEHRFts27bVFoV+BQxtI6jIEIYkDCGQAchNvruqzjr1VO1V++xzh3Bv8vz9xVqnaq1Vtfe5JPep2lVb38ogJ+if8o5ZfDSfEEJeAbjHfhVz+9yf+3LiRhPc5nvGf3wJIYSQ/jCqNxX2ZdGG/+YEWwUkCkIVkih4o3hMV5jVN+YuCdTYRxSOqWjVPnCsaUyos2wcR7DDdadPIOgYY1/oq3bMNTS2YIlxvC/RjkI7vT8hj4DXmLelWPepagv6eVnvNr7sWSu+y15X7RXZd3/0MbPc/geE1/bK6r48mi+n5nP1nhBCVh3cY78KkX/gfj/nD96e+sa93M6b7eltQgghpL+s7EkfxUfRKMTPUWCq4A5CUIVkEIS46q5E8RhXmAX1RQGPEwKpnYtOzRXEZPpIP45Pxx1i0Q7gKnO64qzkMelKdjpJEOOHwg6UxDiOM/8eMSYQJyoCUaDnsYHSfYp2et/7MvY86kt93F5FvV+x72PeokW+7Jm70u375je5GdNn+CcSBTk1f/axJ/lX4i1ZUn5zAyGEkMGBe+xXIQ8/+JBbvjj8YyivjSGEEEIGSr7HPheAqYgMQjsINxWGuKIcxZ2A9YrlG0ViHq+2ik5cEdY6FOmBmA9Ft5CKZBWwVu5ox+vVzylVUS3Y1zEQu9R/rMeJkKqQV9L7FnNGgZ7HBp/q/RFwEgD7Fz9dsdc99irqdcVeVuuFpRP6fgZbj+Yf/94z3Nbb7uLr5dT8008/xV32j9dy9Z4QQoYY7rFfhdz5k1+0/3E8+l1H+ZIQQgjpD8+s7FNSfeR77Ouxhau9yp6uOiu2bxSItghX0Rn6V1vbozhV0aoiNBfFcfyCClgrd7Dj+GJ/qcDVvtVX63Vsg2fH/rXPQLwPYqdtSrz/qX/aV076nVTvj5BOAsR68dMVe12FF0TU60q9vAIvJzyav48/NV+Q33tuvO4ad8kFF1PcE0LIEMI99quQO+76vS/lkJnx4zfzNiGEENIfNh21ni+re+wDKlCjHUjFXi6g0U73hqtt+1orzPmTAPl4ohCNAlxFK4pQIYrZPDaAYhntkAdXpXXM2g/2IWD/Afs+dG/r2PNrEaoTDIH0+1GfGFfuS7BX7oV8ckGJ9VLqir280k7QR/BFvIs9ZuUOyQq+tsur8Q7Y53X+0fyNx23ia+67dw4P1iOEkCGEe+xXEfKP2GOP3O/tU2ef4UtCCCFkoOR77FUMokBFsWit0GJ7JzvkxT5ybJGajifYUVymohSFOOYTME8kFej5uPCaQ1ucGEhFv/SjYjraGDNYtpThs5COX683nYRQ/9ITAWjnaP/6fWh/ucCP45By9OInva177FXAK4teXtR+PB+Rz8tGvegfzT/smFlu1z2m+no8WE/23hNCCBk8uMd+FXHFpz7dspw7btbRLYsQQggZGPkeexFngrVKbRGEXYhpYguYL/ajIjEVqQEUkCXhH+188iHm09ggVNW2cqe2onFx/FXRH8asdswx2DbeW6F6X8IYdCJA76X9PaS25MF7pH3lPnhvq3GLwxZ6L8j18XsR7bpKr6K+VAqyun/IoYe5406c1Z4gkIP1ZO+9rN4TQggZHLjHfhVxyy/u8aXOWhNCCCGDQWmPfVWwqnATokCOwq6zrSI+tmE/lgC3BGS0S8JUwfEGNDYV31butB/Ng3GaU7EnBUqTDwOzY/+lsQt673Qsoew0Nv2+9Frr+g12+r3GezShd4K3ZY/95I3GexsFvQWKe2TChMnJO+919f6EE2Zx7z0hhAwC3GO/CpB/sF5+MAj7PV//Rl8SQgghg0G6xx7FaUDFoBBFXiqQhfLqb7TTlXSb0F8UqSgsdRw6JvXJbUVjdQzx2mwRXrJjHvmsY8BrlHp7UkDsmHNgthCfcMC2+nGHsUTBjmNT4vVgXqzXvCEG7er3Gu7Rkp7HfCl77OXRely1Lwl4rFPxr3HhYL0D/N77nk2393X6WryLL7uSe+8JIWQAcI/9KuDWW37i1ho31j+CdshrX9+qJYQQQgZOusceRZ+K+SAGq6JOqIpooWRHUiEqhM9VgZ6K8tB/OiYh2ii4U3/MXRbhJVsIn9OcaOfXFChPQHRnB9InKfTe1o87oHYcJ263wH7S7y/Pi9dcBb8nPTxPVuzHrBzdfr0dinoV71adonEi8OXAvS2nTHHvPvrQ9uq9vBZPTs6Xvfd85z0hhPQP7rEfYuQfqHmPPejtcVuOd+tsHfaXEUIIIYNBdY+9kq7c2sLPFtdlOwo/zadCPHyOQjStT8Wu5rMmENRfCH7pSrOg9d3aoRTSnGrHMcZrxomG/tvYN2Ld2zBmQYW71ocyjjNfabefBkgnAKpjwnuUfif6ujtdsbdeb2cJ+ZyeueFUfRH4kkdiwur9LPeWIw5N9t6/cf83uK/feBNX7wkhpEu4x36I+f3Df3RzfnmXt181bTe3967TvE0IIYQMhNJ77KuruJaAi6u/KLjr7RCPtoBCsLSCnArN6qSAYNnBL/prfq3v1g6loHZ6TXGM8fqtyQehmV3tL/YhWPdWv5so3LU+5ov3H0mfBlDfUr3m03uk49bvaoxbv3drX6PC+6WXwj57WXkXcS7gKn2p7N1plC/VXxF76q6vdgcfdkj7DCJZvf/ohz7oV++5954QQprDPfZDzMuPLXELFs7ztvzjRQghhAwGpffYRxGn4i8XcGLHNhTc9XaIL9lCvoIs/QSfdKJAczcRx3Gs1fyau/92eh06xk4TDkJn255QwfsfffF+5+IfCXF4z3EyRcFcOdE/7yeOQX9e5vfM95/loDtBxbw+Wi9YYh7x9c9V29GW1+LJyfmyet+7Ym1fJ6v3xx46nav3hBDSEO6xH2Ju+3+/alnOHf2uo1oWIYQQMjhU32OvqFBDYZkLSmtlvnu7LC7jpEIUkc0FtOaw0f5De/d2eSIh+A3UtiZUAnp99XFRlMf7i/cxYE2maC68p0r0r/YTxxDuvZ6Kv3zUCl8KehCePF4v4hxR8Y5YYh9X/PUxfUEWQE5616ntvfeCrN5/+JKP8L33hBDSAe6xH2J+/q8/8KU8YjZ+/GbeJoQQQgaL8h57FWolgZsKv4HYVXEpfaBYTj+rUEVhadk6TrGjoM0nJ8SObc3tcC+Gzg5EW/u1rgvjqteH9xfvU0o1zrrnSKlvQfpZ1rvQ22uvjL8u6mq9PF6vQt4S9Dko8PEwvd5J+ph+2L+/2Q4b+733cnK+bgH46a0/cmedfyZPzieEkBq4x34Ikb1hjz3ysLePOfY4XxJCCCGDSd0ee7RT4RZKFIkDsRFcXRZCv0L4LKBQLU0WiD/Ghv6iTzoWFbDRr7Pd/Pq6t3U85RX8gDWW0B7jUlSMx3sT6wTtG+uEupV9QfvGvIvWDZNGKrAVv2ofjnhok4t8qxR0xV9QgR98wv79IPKdPzn/xDNnmyfny+9XPD2fEEJSuMd+CJHX3Anympj9X7OTtwkhhJDBpLzHPrVT4ZaK5sGxA7mARJGb+wphXKk4Vj9rxRn9pX8hnRzQPrA/y9bYobB1PHp/wnjLdhy/PTFTvSfpfYv3yZr4sMHvzr7nG7Q0uO6xV1GughwFuyXiFa0X4v78eMJ+Hqul/NGT8zcet4n3lb33R8+c6a78yDVcvSeEEIB77IcQfQz/1a/dy223y57eJoQQQgaT8h57JAo8FXyhFAbHRkGqBLEYxK6UwbcssgPp6rqSThikEwo4eYCx9baK4qGyA8EO11FvB+yJmeo9wfsWJwbw+tP66j2XfvW+2fd89GYb+VL22ON77EWUowhHrDr1FXRPPa7Qa5uS55C994f1CXw9Ob9n8XJ3w7evdTOPOop77wkhpAX32A8R8pjYwicWeHvHLeMhMIQQQshgUrfHPoq5uHKMglDA1eKB2PlKvaDCUcehfaOITIUojlFAOyXEBSEdrw9Fb2gr2/2/1ia2tdqe2tEHx9UJjcHrz0V59LGFe+4vVO9Tn6BfHMS17LEP77EPiCjPxbiiQj0vBdxTn/sgeb1MBsikgpycL3vvdfVetjvOeu8x7oJzzuOr8QghazzcYz9E3PmzO/yja7IvbYfXHtSqJYQQQgaHZu+xj49VBzGnoi4KzNSn/zYSxxCEo/pp30JVSOpqsyVCSzFx5R79NE+93d31NbMlf6C02m754Lj0ehS8ZgEnUOJEQjphgH3HenuCIZ0owPvU92mjLXwpWwoVEecq1C2BjmVOuqe+PhZLOahPkVfjyer9brvs6n/HkkmH73zvO+78087mq/EIIWs03GM/RDz8wP2+7F32ktvrNVt6mxBCCBksOr/HXghCTUDBL/UoNoUg9AZiR1LxGf0EFaNVIRl9hBCnIt6KCYI61KnwxfHgBIBl2yvt/bdVLOtYIqUxpIQ6vR7102sOn5HStoMU2yfa6c+Lji+wzoJHfLlWb3wlXb6/XktE69XWvfla1yQ2qV8a9uNrvIzh4COnuyP/9qRk9V5ejSeH61HcE0LWRLjHfgiQf1DuuOu33t7u1bu5vXed5m1CCCFksKnbY48iDQVcKvJTQdk/O4jsqvjM26IYTcdQHVPwS0W85gh2VVyXV58tG1faB2KH64liuSrCrTGgT7BDeyDmUrTPGKc59H5oPX6ut1NCXbwe50aNfTkYi+I4dI88CnAV3Ggj1ko90inPmJU7mHGS9+RTD3f7H7CfGzVmkq+Tw/Xeuv8B7pprv8DH8wkhaxTcYz9EPPzoX3wp+8EIIYSQoaK8x17FcVXE5av6URT2166KZek3bUuFar5SXB6TiNEg3DFHFKBxsiDNUS9q7VX3bu10lV7HjPehNIGB300q2tNcsQ+8bo3D+6E5wtjSNttWML+gfS/r3caXbmzoT8S1PBYvpSW0tQ5LPP2+7jF+JG9b9HJY8ddJBX0CQOiZu7Xb93VvcseeeGT7cD3ZCnnV5Ze6Sy642N38w1t8HSGErO5wj/0QcPWXrvd7voR93ryvLwkhhJChoLzHPgg1FKQ5KiSD2BP6b+fiUOzQFkRhAO06NC8KWBW4AtqpSFU6C9wovru3JY+QrqxHnzimugmM+N3UjS8+Nl/9bvUeCJgj3Df9futsKfP8+nlMz6O+1D32Xmz3/S4lpQrvOsTnwVFT2375Y/xILubzUv7oXnvMI4fxCRPHLnLTD5nhX42n792/79457sIzz/GH690x70m++54QslrDPfZDwN2/+qUvx4+byMfwCSGEDCn1e+yjSBNUuKmwC21RhIodxWJ3NgpfAUWo+uAkQ8xhCXaNQQEbBS7aGCvo53Q8lrjFsXRnx2vDsef+sb5EvB77HgiYx/5uy9eG32/JxjGnkw697RV73GOvlAQ4Iivs26+c4+vDantYvVe/uti8Xmy3NK7WY2z4PN6f3C+vxjvxzNlu6r6v6bugcI1yuN45B09313/la+4v99/t6wghZHWDe+wHGdlfLzPEwkHHzPQlIYQQMlTU7bGPAjSgwg2FXepjr8Y3s1HwpyJRRXbwDeLTWpFGO/UNdswf6rH/KGZjXvW3hW4U/t3a8dp0vOk4gx38VXDj2LUuYt8D8Yl2BOPrri31s20rvyD1umKvK+AopktCHFk64aX2/vjwCP/4tk+eS+utPOojWPv1rRxv3O9AN+uC89zW24ZXDi9YOM8/nv/+8z/Gd98TQlZLuMd+kPn+TT9oWc4d8trXtyxCCCFkaKh7j32+wmuhPkHs6Spud7ZODgSRiII19QtYq/FCp1XrKHhVzMbV5nSCQdE6FOU6vhjbvY1Y4wx28A9jsIR7HGeIi/et+rRDKsgxPuZFH2wr28FXqE42yGddsZc96wiKaMUS2VLK/nj/ufUIfwmNqSO0xxPysR8sFZkEOPqYWZXH8084ZRbffU8IWe3gHvtB5ud3/NiXMkO807SdvU0IIYQMNk3eY4+U6pUg9oKwa24H0gmEVIxqDIpIjI2i2xK/1X4FjVH/KLqtyQHBWr2PYr8bO+YU8FpK1yXY40onRKLQT592iG1qW7miD44z3LOSHccbJxs0n3wevfhJbyd77EE412GJbiRvt7By6J59sUs+WAryeL68Gk8O11OBr+++5+n5hJDVBe6xH0TkMfyHH3rc25OnbOVLQgghZCho9h77SLU+FZuBIA5Dfb1tTxSgYAx+gVS0C9VV6YjdVhXngXS13rajTxTccXyYr5Md8qhItnz1vqb3zBpX/p3k9wHB+43XgOMR0nGGMZRsJc0d8y0OT70ne+w7CWkphU51CPrV+QiTXnyibdfl0c+6J19W7+VNRfm77+XxfBH4fDyfEDLS4R77QeTnd/6XW/jEAm/Lq1fGj9/M24QQQshQUd5jj8I9gqI5iLgoBrUNxV3VDtiiNAhGFIqhXoVwHE91VTqK07Qtrnyrrf6lPoX0szVBEO+P1YdQsi2RH+9NKrbTsQrxOiPqG/rIxyfgPUknFMQnXpOOA68/vRfVn4vqdxnyT+id4EtdsRdQOCsoqEtiG7H8sc4iz2H55jkFPEFfkNPzz3jv2e71Bx7SXr0XgS+P55921hnu7nvCOUmEEDLS4B77QWTew/P8PjT5h2Li5ImtWkIIIWToKO+xx1ViWzQr6pe2BcGswlHIxbOQC0ohFeZSH+JRHCtRZKL4jqQiNtrp9VWvK/2M41Mb4y3hX7ZDnN5TvE+hLtjp/dO+9BpiXkFz633C8VUnAqwJB41R8Prz71XHYuXW+yPjmd8z39d0OhUfQYGetynajmAdxmOJaH0d0q6n8Yt/sCf50/P32XdPv3q//wH7tQX+T2/9kTvlxBO5/54QMiLhHvtB5I7f/GfLcm7mYUe2LEIIIWTo6LTHHgUjEuotYRfQPFEEVsWzgIIyFatCujochXns1xKpEUuQ2xMMJfD603uB1273U7bjteh9DG0hd/maYg6tT+Ot7w8nM9JryK8nfC4T29U3xKZ96jX0mCv2JaGt1LVhbEmUW/Hob9l1JZ7GH+zYr6zmyxOWIvD19PznFj7r99+/751nuJt/eIuvI4SQkQD32A8iv5/zB19O24/vrieEELJqqN9jnwpTFHYoRIVcUFoiXgl5ojBOJwFCvQpH7D/a5VVxQfOhqEUbxxZj02uwxpSOD4V56LeJnecNZWgTOuUIpRDq8/j8vtsTAOn1aO7wWYjfDRInGdA39hnHFli8OF2xR1EsqHi20Db0yeuaxKMtJVKXR+v1NH7/uWVrnlDOTU7P1/33Ty973F145jnuiCOO9AJfzlEihJDhDPfYDxKyJ0tmeYUTT5rtS0IIIWSoqXuPfbraG8VcKpiDmCsL+XRCQAh5SmJUBSsKUkFFbVVkoy1ovjofBVfEcRxoWxMEGlfqo2oHrGttcl1qa5nf0xy8b0KISx/ZD6SCXtt1TFoKeB9wEkTB8Qp6eJ5bFPpTUZyXCLYhVp1i5dQSwTbE8lU/qw3R9+wLcnr+YS2BP6Z3bV8nr8f7xDkfcueddxYfzyeEDGu4x36Q+MZXvtqynPvrNx/QsgghhJChpbzHHlfIUyGHYhjtFGslGFecUXwqKiBDnIBiMdhRlFqCO6fOB/upw77eEIc5SrYlgoXgk67aN8knpXVPNZ+A961aL6STA5pf23VMWsa6QDpBgcTx6KP4bmzo2xLVOeijNpYItiF5jLbLCfdql3Lm5Hkwn6Dv2Vdk9V4E/ukX/Z3bdd89fJ2cn3T7L37tjj10ut9/L6v3XMEnhAw3uMd+EJi39EX34x/e5m05hIUQQggZakrvsY9iT0VkoLSCHf1QKAoqClNxiXUomFVYClqPY9H4CE48pJMQARSyqZ2OpZPwFnBCIh2LlT/agaoIRp9wzfkj+iU7jiPaer80H45VSOtDPvkc6nNb2wW7vyoYo/05t6TnMV9a77G3xDKWSBOfvB59FT3hHgU++nUqEa3TdiEcrhc55MDD3YzpM9zW2+7Svgey/37mUUe5m771ba7gE0KGFdxjPwg88tAf/GyuIIewEEIIIUNN6T32KLYF+5FrFN4q+KI4xBidBFBxKcSJgShC05woSFHYanzw0djUjuMRLBtzCbnwjiJb74U1iVDOL9iTBXFsoYyUH9FP7TiO1I6kY439WOMO9za1w3dT7k9FPMam16x9LuvdxpedTsXPRXOO5YOxVjvW6bvopU5AgY+Ucmm9hfpLKYfr5X1N3nkXd/QxM9yJ0083339/zbVf8HWEEPJKwz32g8B//fgXvpTXpey5c3hsixBCCFkV5Hvs88fVc9GLQk6FYhR/AYxJJwpQpAdiu+ZEgS/kK83RB4VmzInjsQQ5EnMicfzaN4rhVMTaY6jet0AcW/U6I+XcqVBXGycR8qcptL/8ew316fcY7PTe4vj0+rUUNL+g16x1Y3oe9aWsVo9Z2UyI15WI1iN5jKJCXtFcWl+XP69XsB8t3VI7p5Sb7bCxO/nU2X7/Pb7/XgT+gQe8yd3+77/m4/mEkFcU7rEfBO6+69e+XH+Djdzme9q/ZBBCCCFDQb7HXkVZvuKsAk8FXyTYob36bxgKynQ1WOOwPReMwSfYoR59hBhviV5cGUc7tiv59Sp6P4Q4CZEL95DHzpGK4+hTvU7Fyq3jjeOJNvrjeHE8OPZYb98zodqfToykEySl+ybxuGIv735PRHAfuTDGNsVqx9JCc+DquTwmv+66C/xnpJRDsfoVrDoB+7TaZf99/v57EfjHn3acP2CPJ+gTQl4puMd+gMj+qocfetzbO03d3u282Z7eJoQQQlYF+R57JV9xRmGYCnQUqOXVdSFdDa4KW7VDDqGcT+ujyLREb2nFHn0D+fViv9Xx2OQ5Amlf6JOLfCu3+uj1CDi2KrE+HU/oQ4j19j0T1K5ee8wjVK85xuuKvQpYFLsICmBta+JXKhVcPV86QSawJrU/q18pR50PktflK/ZS5o/8i4++/17PVpLJDzlgT16RJwL/L79/yNcTQsiqgnvsB8jLjy1xC58IM8hTdtvLl4QQQsiqIt9jXxaMUdClAj1d9Q11KFRLtlC3SowCM/atkwrVfiK2YK76WqvNoT29jup48B7h9adofs2Zk4viOAkSfS1xnt+TQLyX1fGEfKVxCnjPop/1XQSq9676XeqKvZwjpCLXwmrTOiwRbEPQF0v1U5Etn3PBXcpp1SnV3HPbttZP3mh83/+Heh2ToAJ/1uwz3a57TG1PgIjAP+iwN7vTzjqDj+gTQlYZ3GM/QO5+4N72wXnvPORtviSEEEJWFXV77FG8BdGmAjH6RPGX15dWy62V81Q4okDMBSQ+ARDjsC4Xw6W+rdXmVDSXrlltHadeQ/gc0fzVnCmxzl4VV/J7kX6O30P6VEMcb16P8Xgvcr84rnAvhOq9i/0LYuMe+7HrjE1ErYBCOm/LsXytOPTBUtEVdXk0f+LEZnvsrXarTXLre+21H7HllXgvvSTi3rn15q/b9lfE97A93u6mHzfdC3zlp7f+yF10yUXuik992j/h+ecFz7daCCFk8OEe+wFyx2/+05e9K9Z2e746/mVOCCGErApKe+yFVOxFcRpsFbxR8GF9FIMlG+NTIV0aQ9U3FcLBzin3jWC92tVrDqjwza83+uT54+c4CYF1MQ/2I5TEt5B/xusUNG/MmV5LVZzH+ypUxxXqS+BYJQ/usdf3vasYFtQulUhdXdN4LHsnPeYPu8tX7XNKea064eHnFySfxcbPsiVAP+tYpJQT9ceN28IdcuhhfgV/620n+zbZfy+vyJN34H/+Ux/j6j0hZMjgHvsB8rtfh3eYvu3Ig3xJCCGErApK77EXIRcFopLWVcWfLZ6joEzFOorEKHTTemsMVr5QqvjElWZLTMc+Uh/NV7omvf7gb63eC1HYYqztH+vSR9jTVXhbfOdojN4L7LuU1ybe15gjv1fYlvaFY5U8m7oV3pZHzFHcCrkgFuQzCuZSXYkm8VrmK+slP6sNyes0H04YYGwxR9/vmFIKkuPoY2b5E/THj5volo8K91EE/lv3P8BdfNmV/hH9JUvCE5+EEDIYcI/9AJC/lPUx/L858j2+JIQQQlYFpffYi5BTcScE4ZauRlcFpCW6UaDn4hJjUxGci1TFFtOpKNb6Uv9Cml/7rrYLcUJArz/4BTuAkwa5sFXSiYVgx/b0fjcR8gKOM43RfGXRnd5X8alOWGiOaMfvqXpfqojv/J753tbfdToJXK1HrBgskSbxij5BoFixGodgLmyTR/sFFfQq8JE81sqPn+UE/eNPPdkdfeTM9gq+3Msbr7vGnXX+me7cD57vH9EnhJDBgHvsB8BXb/lnX8pM9v5vDaeiEkIIIauS6h77KPSkVOEWhaSK4CjqSqJbQOEXxSUKQpwUqIpUHY/tnwpLFNCpgI/kwrmuPb2ueF9QVMcxpqBP6f5gXJ4D+1MbffLrUKKPLbpDu36H6SRMsK1Jl/y7xGtGf/25Cb4Teid42684rxeErVASuJbQVdAH6TZewc+lWKzH9rxOSnmUXlBBL0JfRX4ptgniO3nnXfwK/ozpM9zG4zbx9c8tfNbvwZdH9C845zz/iD734BNCBgL32A+AOb+8y5fb7rWDLwkhhJBVTbrHPgq9VABWhWQUcyLiqivSuSjMifElPxSTcRzRP4CxKKDz8aZiXIl9Wu1RyKYC2J4cSMePPjFPen/sesES3Oqf36eA3gf0Se9NuGfYT3XiQrAmXfT+x77t64jfjZS6Yr/2yr5fF5fG1WhL2KLgzUsB6yxKcUre1rREtB5Rn3nz4qP3IuhF6Fur9pi3rk+x8bMgAv/kU2f7R/R1BV+QR/QPOeggd8M1l/EUfUJIv+Ee+34ij04tWDjP24cceLgvCSGEkFWFvcc+CmgUd1WigAxCLsShLagoDPWYR+MDqV/AWtlW8a19RxsFsDXe0sREHCu25yIfBTCS+pUnKLAec9nxuY0r4kLapiXeBy3TexOEON7X0J7aOKaq8LfGqNcVbM0jpa7Y62vcchGL5CJWsPzyHOjTpE5KpFM9kufBdhTx3vb/ec2t5FA0B5LnxM9YL4/oH/uGY91xJ85KVvC//pUb3XFnn+DOP//DfESfENI13GPfT+b8xz3+9S9u0TI3cfLEVi0hhBCyaijvsVcs0R6Igi9fdRY7FXpCqMc8lnC1hSb2kYrzfFzpeIVcoCM41py0n3Rcsb/qZEHwi/3reLA+5rLi42q6tSKufWObkE886HUHf/0+gk/MhaI92jim4IvfofUd4XWl14577FWY5sI4L5G8vVSn1NVhiTSpxxLBOCnDPvv4vvoHR001c2CJ5O0WGiOn60+YMNmd+Hdntx/RX7FwketZvNz96ue3+Uf0+R58Qkg3cI99P5i39EV35x/u8K9/Gb/tZDd5+ymtFkIIIWTVku+xj2IYRbuKOBR5uXBOhbUKPRSXgorSmDsVvpijTphrWzVPJBfOmE/7yceH4FjUzvsQ8nFWx5b7pP2F3EJ5RVxKvNbol/Yj6HWHevw+qt+DgDai19xkfGgL0p+u2MtChgpVS7SimK0rEatOyWORPGeTEsG2HHn8Xt9XLz6TXnyibWtZ6sMqSzHIWs+FPfjHn3iSO/SU97qtt90lLBz1IXvwTz/9FHfeeWe5r994EwU+IaQW7rHvBxu+8Jx7/KHHvL3u2HFu712neZsQQghZ1eTvsc/FsIAr9FHY5b7VleUoRquiXdqqwjAVmdWxROGYtuFKerqqjmBMOsGgY0oFuF6P5Ix2Vcjn44yf7fHq/YzXLLmDb9XWseE9xPHEPvJxKbG+k0gPpH2kfVXtMC61Mc+y3oW+lIUMBUWrYgnWkpBV6sSuou1IN31Z8YoZE3a3uDErpW6uW29+eBpGc6h/XV95vRWDdfh5t+23d0cfM8Md/94zklP0b//Fr93lH/2434cvAp8QQiy4x74f/O9TT7j5f3zK2we+/a2+JIQQQlYl5ffYR1QQ2sIuokIwEH3wEe+0XvzTlfoo6FNxKOjnNB+CK+lqh/HkuSIolCMowFEQI7mQL1O9FkHHp2XwwfEEG4V6qI9iWvOWHqNHsL60Uh/t2EcAr8Gy48RCjA2s0LEtCrlUiJbIBSvaitblpdVWRykWQR8rtxUjyKv05D358ri8gLFI03yC1Wblle0AssdfTtGXPfgi8OWMAxH4sg//ox/6oDvwgDd5ge/Pe+IqPiGkBffY94OHH3zIPb3scW9P3WMnXxJCCCGrks577C2hmIo5tVEIotDMhauKQhSUWpe2qzgM/WievD7GpuMJdhiHxgppe7A1p7XajdePsYglvqOdXqtQnSxIH+9H/1SQi4/G6OdqfsUab6jT76lkx+9Pc8TxWXYpX9+n3m18KZNHKGLrSsTysbDa8jirRDr5dhMj4Hvy5ZR8tfuTT0qLvF3K3knyGH7Y5y978EXgTz9uutv/gP3ahxg+9sjDXuDPPvYkd8WnPu334RNCCPfY94Of3PbjluXczMOObFmEEELIqqe8xx6Jj7ejmKsKOxSaKiqjcI1tIcYWiiiMq6JRiKI95EtFPI4tjkGotsecpdVuJfdXSuK7eq2B6mSBgNsHcFVcwXsS7OoEgaDXG0U3xoS6JraQ5xAsu5xjTM+jvlxrrR43dp2xbSGKWAI2r8tjFIzJseLyvFbdYMUgemI+CnyNrQPzd1M6Nykk6EM+i8Dfc6/93IlnhlflqcCXFXx5Vd4Jp8xyR7z7HTxJn5A1HO6x7wf6/vpd95jqS0IIIeSVoskeexFxKPiiuEPBnwpZFdvRN9YJoV590U5FuxAFvPjhZECIQVEZiE8JCHEMOPbSJIagflbOQKcJEOm7kz/eM7y/aAvWxIX1PcV7Hu8zxgTwnlRtnDDQ8ZfGlufOv19dsV/5ck+ygp2K0IhVp2gMgnlKJaL1yGDE5HVI+BxW0PGVeHkOLRGrruSL9VIK+FlK+SOvyjvyb0/yAt+fpN86aO++O+71J+kfccSR7kvXfJUin5A1EO6x7xJ8f/0JxxzrS0IIIWRV03mPPYrUVLBGcZfa0SeKVkugC2U75EORqOIRhST2FexUpMZxpRMB0a6K4+o1pivUpdiSTxP/aOs9Tq9DwPsT/SMqxrU/9cfJhBAXv8fS/cdxhnylyQq1Szl72iv2Y0ev60WlkItNLC2a+CilvE1yDCQGseLltXf5q/CwHcnbpETyessnJ/eRCQYR+O99+2lu5hHv9AtNvSvW9m333TvHfervP+DOP+1sd+b5F1LgE7IGwT32XfLA3fe3LOfe9LaDWhYhhBCyaqnbYx+EGorUVLDmq8+psNRVbhWoqUC3RGK+0is5Yn8oLC0Rqb74GLiudItvGIeOUfNXiX3i9VXzVWPrx1rnj9eRTwpEkRzvVXqtSnX1PlxzVaSn36mSfkeBeB0Yk34vVk6Nk1JX7OXgNgFFqZQI1mN7XlcqLV+kFKMMJAbbrLrtV85p7X2f1DimE+pvUZc/TDAE5PV88qq8Qw49zJ1/4d/5ffgi8NcaN9bvw//xzd/0q/jveceZ7YP2eNgeIasv3GPfJf/yja/7UmZHx4/fzNuEEELIK0W+xx7FWy7glVxIpqvRqUhUgZoKUyHaVZGeTgCgcFQ79qO+OpEQ7RgXx6j5Be0DY4T8+rSv6thQyAvWWC1/nCjAsVTrlXTceu35pEE+HiX64XeqfeqYY6z9M4DfrT0G/E7jir0+7o2CU0Up2kpdnZRI03iNxVKw6pSmMVZsWhcEPdI5JpD3YfkoVpvGKCLmZa+/8BI8iSp++77uTe49Z5zmBb6+Lk/49Zx/9QL/5JNPdjd969s8bI+Q1RTuse8CmeV8/NHwj9xWU7Z2f17wvLcJIYSQV4p8jz0KylSwR+FZJgo7sVGghvqY2xaJUQRjHiVdSY8r2tE3rS+PN9SHOB1z1Vf7y9tjHyjkQzvep3gtuT/eE0HHkNen15yOJ7+H4V5jrIJ++J1inwKOU0n98Z5HX73OfDy6Yq/vsc9FpqB1WFpgbFPfUol08m0SY4E+FnmOTn5IHlcXr7TzLE33+gvYh7SJwD/w7Ye7WbPPTM6Dksf0r7r8Unf66ae4E06YxXfiE7KawT32XXDv//zeLV8ccuzzqn3dDuM38jYhhBCyqqnfY5+L3Cg8Ubii6BRQ2EWRiavIlji27ZjbFpmxr3wVPNSHunS8Oo58nEJaF0hX7nHl3cqLolztqvgV6u5b3oZjSMeTTqKgrWPTPvH+RmJ7fq81PgfHGe3Yd/o99rjRi5/0tp7C3kSA5mI1L5FOvlIiWm8xkBgE8zQtLXI/xIrL/UtlYG67roQIfPkjj+mfe8FF7dflLR+1wm+tuP0Xv/avzHvNq/dy11z7hfaj+oSQkQv32HfBfff9wf9lKH8xbjxlXKuWEEIIWfXYe+xTcazgZxSuqdDUtigMQ4mryCgc6+1UxEs9gkLWXgUPZZyQqNYFVNRqXS6sI6l4tvIqKJR17Ch6ywK9ek/LVO+Z2jq2mDe0C/Fexnb7e6zGpMI92OnPSrxeKRe3FoZLe+wtcWnVlWLq8mg9kvtjHNYhlq9iteV1VlynGKvOKhGtR9Afeeml8e26vF0f0xfwwD9ZxT/13LPdwYcf5lfx8ZV5sor/vnee4c477yx3zfVf4KP6hIxQuMe+IYsXzHdz7rvH22tvMNoduM8bvE0IIYS8kqR77FOhmgu6KApTUjEcRa/mEUJssLG+alep9m+tmAtxtTqAK+VxogHJRW3+OcZjLqv/mBdzxGvC+ADGWRMKTeossa2gr443jkfvUaR6TcHWmFzEC+l3o/lDOaF3gm+TVV5BBSQKThWoVp2C9VZ70xgsEauuRF1exGqz/NQHseryfKUSyevrfFXQ62P60i4H/skkgPpKKafpyyq+vjJvszFb+banlz3uV/Gv+vil7qzzz/SP6vNEfUJGFtxj35ANxk9wjz/0mLe32mYbHpxHCCFkWFDdY68irbrii6Iw+ARQyJZW+0NsFL/oF+00b/yM/aPYTMVlHHMU0XHMeD22aEZivOZORXHav9hVoayEXBgvpJ/zCQWhWZ014RCIvul4Bb3n0d+6pnQCI504sL4bzR/i5vfM95/WXhl+XUSBKOIS0bpOpUU3MVpv0SRe6dRutZXyS2mBOfIYJM9V8qvzifvuwwo9tue+gviLyD/h/X/jZkyf4absOClZxReRLwfuHXjAm9zFl13pV/F5qj4hwxvusW+IzFo+8oc/eVtmOgkhhJBXkvIeexScKLTRTlfjERV/KpxLubA+2jGvikZti0I8iMeYK4rUiObEPlNSgYzXkYrYmNsS0MFXx1qt01wyljDuuutQrEmHujq91mjn5H3HGPUvTa7o2PUaBbU1h3UN0qYr9vkeey0tLBEpWDF5viYxuX+38VZdKVful1OKqcth1akvYvkpVn557D7Y1RP8c9/4uH7Yqy+vzHvnjPe0V/HlRH39zuW1eTded4077exj3WnvO81d/aXr+ag+IcMU7rFvyMMPPtTeY7bPm/f1JSGEEPJKYe2xL4s3Ae0ovJUo7kKdtbKMudA/2la/gTxfaE/FrApXFOPoJ1gC2R5PuI44DmsyAn2suvTahLrrUKr3rnMdTm6EPkNO7L+aQ78/vLb8nuE9rtrRX0hF/rLehb6U339UFOaiEksB65BOvk1itETyevS1yHNhrGK1WyWCbXU0zZe3I1bd0gkvVfJZpSCr9fJ5zMod2m1aL6v4Rx8zy5145mx/4N7G4zbxbUsXj3Jz7vitF/knnDLLr+TLoXuEkOED99g35Ce3/diXMoO5967TvE0IIYS80vSstbxl2eItCjW0o5hLV40t7Bz4WHfpcXeLEB/a8pV6Fa44luCvAjYXt6XxpNcmpMLZWt0OfeD4hLjyr34B9MN8OfZERNWveg91giFel5Jel4wDxx7QMdnXjbb9cyGsaPnIHnsVhSgQFRSHitaVSqSTr5QItgloK1aOvESwTSj5YX0pBin5S4nU+Ulp+VigD2LFLHp5kekrSJ0cuHfyqbP9o/py4J6I/N4Va/t2WcmXQ/d2nLJd+9V5//GzX/BRfUJeQbjHviH3/CQcIPK6Qw70JSGEEDIc0EdmIyjyUKilK7OKLZRVsNbliGI7ikRr5RyFo7UqLlSFbkD9MUfAGpuAohevLfqhWI7xOtbwOb2HQiqw7euIYjqONV9l15zRR69d+0TxHfsv5bSvS8eXjtu28R4K8bvX99jrHnvBEogqDrFEsM3CastjMHfua7XV+Wu9hdXWNG/eJiWSxzX1U9C/kw/aUiJar3+0TtDH9PWzlPKovmxDPf7Ek9y7ZrwjWckX9NV5f/u+v3UzjzrKXXLeFe7mH95CkU/IKoZ77Bsg++vltFDhra87wJeEEELIK8nChfExaSQIwCjs8hVjFItVVOSlYlZzoh1KIfYlpOIx5NJ2FK3puFKhG20dp+aIEwDYT/SvCulAPmGh49B8qVDXseF1pYLbvg4dI8aloOAOJeYS4nVhnlLOdMIj5rImWEp2uAfxOvS773Fjeh71tk4e5QKxhIpJFJVoK5afUqq36nI0FinlUwYjL5YW6IPk8VhnUedvxeVtWqqf1gl6CF/uq3Ui8nUlf9bsM5P9+D2Ll/uV/Bu+fa278Mxz3Jv3ep0/eE/fkb9kSfp3FSFkcOEe+wbc+bM7fCmPH03Za1dvE0IIIa8k48aNa1kpQQBG4Z6vyKNYRFFYFYliR5GX2zFPKhBTARzrBRTjuQCPbTG3is04LlukYt6c4JNPWIT8OtZcXFcnB8oiu+qr9x7vZ/XeaF1+rfG6Qp6qrbnwujRXvA9pfZ0dcufXIfl1xV4nj3KxhyVSV4dteZ3lk9MpBksL9EHq8uSlBfoIpXgLq60urok/lgi2yZ8cXLEv5cFX68l+fHk/vjyuP3Xf1/iVfBX6y3qW+z35crq+rOSf+8Hz/SP7esI+IWRw4R77Btz2ox/6ctspW7spm0/yNiGEEDIc0HeMR3LBHqgKxCgKbZGIbYIlVMNnFIhVcWmLcaWuTcWmNa5oCxob6gVr1R1X18VX2zRn3r8Q6qoiO80VSOviBIUK+rSfkEdBYa1+tq33WXPj+HTiIO2jZAvhcxXJryv2uq9aQLGH1AlBCyuHFZ/XYYnU+WGJvnVgHJLnw1xoK3V+VluJpv7oY4HxVo7Sir2WgvrISfx4sv5bDnybO6xP6Ovp+vi4vqzk//TWH/lH9uU9+SeffLJfzf/L/Xe3PAghA4V77DsgM4r6j+3kKVvx/fWEEEKGFdX32EdBqYJQqApEbUN/IRWAsc0SqiriYz+4Kp2Ka6vvNEfsK7YrmDe1ZZwaGwVrFMoxF4pnFMGB0n3DiYpoYy4lzR/GJaTXjPcx+ihRaJcmRNIJFswdx59+p1WfmAOvCeul1BV7PKAxF3k5JUFYKhGtR6y6prHqV8pZVyJajzbWKXmblEhdnVVadPLDutwvL/M6EelBrIdVeakvIf69O43qK8cnfiL65Y+cri+P6597wUVtka8r+fKe/PvuneNX8w86eAbflU/IIME99h344+8ecAufWODtKbvt5UtCCCHklab0HvsgzIKIQ/Ea6lPRriIOBZ0lxjGngAIyzVV+TL0szNW2hCz2aQnsVNDnMQHMG9FxpmPJ+6+zI9bqvY4LY4XwOYwRxx5IJzdsuzrBEvupfl9xbOlYMJ9VL6W1x74k9qI4jGhdHoP1VmnRqV3J/ZrEYP91WD7YX6c8lq9QimviX1enYBuS18nr7+S1eYKuymPOSu7wV5BH63UVH1GRryv5esK+ou/Kl9foHXvsdPexz1zhvnTNV/3efEJIc7jHvgN/mf+oe35F399ci5a5qXvs1KolhBBCXlms99hHARjEIoq3aEeRGAVybE9XojFPKkBVPMZcuQ9SEqmdbMyXCtBgh3atz2NiPa5Ko9i1+kTRXW8r+ep9HGfsO9RZ11UW37Ztr7ZjXrRxbOl9iNeQj1HtfI+9kgtCIReAeR1ixWOs1a5YfnVx3figXVdaoI9QF68+Sl0covWIVZdTlx9j5fV3WIdxSh6LpRAmBia1c+gTAIKu5B8y4zD33ref5g/fy0/Yf+hPc92Pb/6mu/SKj7lT3jHL7ffqeAAfIaQe7rHvwO/uvMOt1bvSbbDZpu7Afd7QqiWEEEKGByt78FF8FLpRoCnBRuEbV6tR6CnpSnQUlJIjFajVFX8B/ftnY5+WCEcbrzfY0SdesxDFrtUn3sN6O70/Co5NCL6hDnPE+10S37YdJ2Hi95fep2inqL9eQ/SrjlHs0Yuf9Lae45CLvJLAU1GnNPEptXeqQ9CnRJ1PXc5OJfoi6IeUcihWXacYJfexfC0fq07j0Fbq/LSUx/X1sL02S+e63kmjvNDHE/ZV5MsTIvIzJxNKCxbOax/Ap4/sy6v0ROgvXjC/lZAQInCPfQfue+KPvhy35XjuryeEEDLswD32KtRygRaIglMFafisQhCFXiBfvc/jBY3VtlSkVvvuzo559Xq0v6odRKvGBVKRawlxu3+p7ySw8/ujxEkJwbLTMabgZEvZDtdkif3UDkR/qY/XideSj1HKxeFp7OQ99ijasETydsSKzUukrk5KJM/TKTZvU9AHKcVZvgr6Y948R07ua8VY7VIi3fhY1LVpPgT78G1L42P9QljBjyv6Cop8eWT/6CNn+kf25XV6ij6y/4lzPuTef+xp7vTzzkn25hOypsM99h145K4/+3LfvV7jS0IIIWQ4oHvs3di48qvCTVCBFu0oJEuCXYWeCkEl/1xaYU5BUW2tjDexq9eC11iyMY9em4DjruYP9yeKf50wiG1o5+CkQegz+JXsav+CNblRtqPYx3utdsidxgpx/BqP1xV8w32b0DvB1+keewtL+FmCT7HaUAhqLqsuJ/fBEin5SClYbRalOIs8J1JXZ5UItgklP8VqwxjNk9OkrXl8ODlfkEf189h8RV9Evpyyf8ihh/nX6eWP7OtK/u2/+HV7b/4+b3qdu+Cc87zIJ2RNhXvsa/CP+bT2lU0/fKYvCSGEkOGA7rFf0TPKl5GSoFShl5KKQNs/incrBwpyQYUliuruBGu0q9cidFrVDv5hrOn1RdL8cXIinfQoja+6+p+v3mO/lm33382kRxoXx6a2+sX7pmMO9fF6NI/Wqz2/JzzqrL8LoSCrE3WK5W/FaT1SikWsOvW16JQH2/K6JnHoU2qT0gJjlTp/q83KoWhbHqN1eRz65z6lNiwRPTlf29EWJk4cm+zFD0I/HsCXP7IvB/BN2XGS69l0+77/8MLPd8/i5e473/uOF/m77PUWd8IJs9w1137BC33uzydrCtxjX8O3Pn+DL+WXpv3fup+3CSGEkOHAsmfDir2cA4OkgjNdNRdyQZqKQBSfwR/t3C8QBaL66ufYly1MO9tVYSygEC/ZqcjH3HhP8uuLYL3lkwv5SBin9luy0zHo5ERpIsG2MS7mw/ukMQEdc6jH67HHqSv2+R57FGadSqSTv4XlUxeH9XWxFlZbXQ4sEavOirFKpKlfTinOIs/ZKc6qK/mWwPyevr/KHh/7fLD7ECEvJ/RX9ub3sdWijfwBfO+c8R737qMPdTP6BLys5ssj+/pkSe8zD/rV/Ksuv9Sdfvop7vzTznannXUGT9onqz3cY1/DHXf93pe777aHLwkhhJDhwphNwop974q1famkglNFdhR7VUFaEqJYH4Uj+gm4Yo7CWsC+QpzQjXhNBWcUr53tEIMiV8eW3pN0zPl1BtQntMWcSlqP40kFN9oxP9rdXmN+TcEO7XGc+WQOtuXjUltKXbHP99gjJVGXCLcWdX6lPHV1TUukzteiaQ4LjM1jkDyXVSKd2pW8PY+xYq02Kw7p5GuVObgPXwT9slEvtuskRpFD93Q1Xx/Zl9V8eWT/1HPPdjOmz0j25cvTJrI3/6e3/siftI+H8InI53vzyeoE99gXkP/IH3vkfm/v+fo3+pIQQggZbqSn4qdEwRaFuGKvpqPIS8UkiuFQH2ysj/2gcAz0b/U+FaC2GC7ZMs446ZDakjuMFeulTq8njkWwJhji2NL6suBW2x5X9X7W22ksjje0x/Hkkzn2Nae2lLpij9s9cpGGdQj6WDFKqb0uRkEfxIrN6zrF5KVFpxgr1qpTX8TK0TSfVae5EMtPqctbKhFsQyxfa4+9oI/nr7vugsRHHu0vIUJfRP65F1zkRf7UfV+TrOYLegifiPyZRx3lPnzJR/xj+3LaPkU+Gclwj32Bn9/5Xy3L8f31hBBChi14Kn5Ouhqdrtzaq+ko8lLBHOi8gh5KbAv0b/VexXfI2Z3dKXcqkuVziBPifdB7pjmF0Bb6wnuKgl6JOWN+/F7ymOBTb2uf1QmEML7gi9ecgvU4frSFxYvDij1u97DEGoq7ToKurkSa+GIdgj5KHt8kJvevi8e2Oprms3J1ilEsP8u/qZ+i7YgVL5RyWb64Wo/+etCePJaPq/eYt1QKIvLfcuDbvNCXk/ZF6OfvzdfVfHls/4rzLneHHHSQ35//9Rtv4mP7ZMTBPfYF/vc/HvCl/Mc/efsp3iaEEEKGC9ap+IHSqnt15VbJBZ0lKFUsRmyxrHUqOrF/JfZnTw7k/Wnu7uxOuVORLJ9DnBDyCHrPNGdOek9jP5o35oz5+79iH4h94nXFXMFXxxrig1+8LgXHn/986Ovu9IAyBAVWLtQUbBNKfuiTU4qx6nLUp67PvES6jbNylPylREp+dZRisEQGw09KpFN7KUfqO7e9Ip/nkM+LXl7UrivlyUtBSwEf25dD+M6fdaE/hG/8uInt1fynlz3unlv4rN+f/9EPfbD92P4l513hRb4+uk/IcIV77Av8acHdvtyw7y+CzVekv/AQQgghrzR1p+KXxGGJVNBZK9paZ4l9IRXLgWDHVeU4Buwv5BWsiQKrj6a2lS+3q2JWSB9VV8L4Q/78Uf2I5q7mrV+x1z6DT3qfhXzyRSldo2KL/XI+pH143sbrJiIJQUEloLjSOgXbkDwGY0sxihWTY8XX+eegb11/eZuUSB7XxK9UCladovXIYPjVlRa1uTYe3X6vPa7aW7nVRiw/qxS0VGSvvhzCd/ypJ7sTz5zdXs2X0/bzx/Zv+Pa1XuTPPvYkd955Z/nX6nFFnwxHuMfeQP5Dffihx739qmm7ue1254o9IYSQ4Ul+Kn4UnKngVVDQWeIuitpqfLoKbYtlzJmKVEsso7813pIg72xjfyUbCX2nkxlxPEIYU2iLkyfqY93LgPrYK/YxbxD4mjfaAZwoiOPCMcb7F/PH+5GPz57Q0PhQLul5zJdrrdXjxq4ztiia0FasOiXPgSVi1SmdYrCsw/IvlYhVl2PF1+Wy/KRE6uIRzJeXSLd+iOWf12Gb0q7v+71cHrdXrFPwrXhF8yDYLyKfY/74Xn1B2racMsWv5stp+/LYfv7ufEFX8+W1epd/9OPulHfMah/Ex/fnk+EA99gXWDb/ZV9O3Hp7XxJCCCHDkXzF3hKGKOpQ0FmryigmMZeQ+qv4ToUq+qQr05o35hNS/+gTxGUq9pvbnYW/jiP110kIqcNH8+M9VP9A9LHupZVHwPsS81bFfmmyIMZj7nht2K5UxxfRftLJhb7o3m18KZNHckp5SURZqLiyRFZJeHXKhWCd2nV560qkVJ/TKaeUiFWnaAyCdaWcCrZjiVjtdf4lMAapq6sr1RZw1V7pFK+xitajrT5xn358r374HGME8ZM/+ti+HMSH786XFX05bV9P3JeD+OT9+dN22r3y/nw+uk9WJdxjb/DA3ff7fTbCIa99vS8JIYSQ4UTpPfZCvipdJ+oUFaFCKihROEfQJxeuCq4caw6sy4k5o2BNJwea2BLXbBJASP3DmEKdPQFRzV+9jtCWim7Mb02EaJ8xb/q9YT3G4z1TtB37TLGvLc3R60YvftLbOHmUi6UcbctLqw2xYur8FW1H8hjMg1h562JLJVLys2jio+0WeXzul+cu+aGPgr55aWH5CqU49EHyvfad4kslYtVZoI/aejK/vjt/9gnT3cGHHeKF/q57TK28Wk/fny9CX96fL4/uyx59eXSfIp8MNdxjb/C7O+9oWc7tNG3nlkUIIYQMH0rvsRfRhoKyEyr+Ykw+EWDny31QRFZzqsiNdan4DKQ5Ayhim9hx9Tn0V2fjmEN9ELahHu0qcTIhFcN4jZo7Xn/wje05OBmQEvsrf1f5tWOfeK3WvVfwGvTwPGvyyBJUglWn5G2lEunUrtT5YBuSx3SKzdu0Hqnzy/PkdVas0iS+VKdgG5LH5O15Pss/91GwDbFiBWvVvi4eyfNpO9YhuZ+UYWJhbrvu8bHP+1KRejmET4T+IYce1n61ngp9RFbzRejLHn05jG+/vV+bvEOfkMGGe+wN7vvzn3wps3Djx2/mbUIIIWQ4MmqdXJzF1WRL8ApoV8VfJHzGtihiUyzhiqvaeXwUp7jargTfqhCvtwModDtNBIS4dLVeKD0NID7xmqqr9ppP0OuNPul9T3OF+PyzEOs0F+ZPSSdG0u8Kx6b3Du9bfg2SXw/P08PEcoGkNtYpVp2CcYgVg/mxPa+TEqlrK6H+FlZb3geWiNYjVp1i5WsSX1dntZVAfymxDinlxdi8rQTmL52Qb4F9CdhvHmu15X4ysSCv19O6ONEwt1XaqNAXka/780VHyB790jv0X/Pqvfyj+yL05R36d98zh6v6ZEBwj73B7//3Xl8e+PbDfUkIIYQMV6qrqbZoRtFXXRlHURdFJX7WnCpOUYSiyAx2NZ+OJbRH0ZkK7hAb4lKB3NmO41ZKAj0X6930p/dBiNdUuoa0r1x4q0+caFDfOCEQ61Ihnl6DRbgfOh4lTi6E65I2vTbtU5C+lvUu9LY8YqyCCLHqFG3Ly7wNKcVoiVhtdXF1bUo3bZaP1Y6lhZVHwXih25x5WdeGJWLVKRqDdl7WtaGPiHm1cdW+Lg7jlTofqw3Rz/J6PUTqRezrhIOW6q+fFd2fL6v5h/X9aT+6v+8e/vV6ih7GJ0L/wvfMdqeceKI79tjp7rSzznDXXB/26RPSDdxjnyH/EekvSdxfTwghZOSBAk3Fm436WavZKPgQFadRZKpARTGfjgHzRDEsdblYDbGCCtBq7pKdClPss4md9ifg2FI79hNirbFE0nEJ4XPwF2Lu6FsV+ek49XOeS+PjZEE6Hpxc0Lzafz5ZsGjdcGK5rDiiEKoTR3mblIhVVyLPZdVhm9JtW17XqQ2p80ew3ioRq059kVKukh/SydeKUep8mrblqJjXGBTLpTirDwVjcp+8zSrVVuTwSB2jluuuu8CX+ln241siv/3o/oGH+9fryaq+vF5PVvTbq/ljx3ih/9Cf5rqf3vojd9XHwz59OZBPhL7u0dcVfa7sEwvusc+47f/9ypfLR61w+791P28TQgghwxV8zFPJBVoUg1H4CeqH/igoVfDl4jES6lQgRrskioXglwvOvI98dVuo9hNsexLAuqaybQnekp1eTzoBEmwhTgBgP/F+BP+A5Rvbsb/0vmhbdUIg7zOOK5Jeh4w9TvAIG7Q0iqzYIyUxVGqzsPw0h1JXZ7Up3bbV5bTamvojli/mKMXllPwwh9ApXxNfzFny728bEj6nj7qrWBbq4qy+cr+6thJ1OUW8j1kp+/HTyQh5N34cd/2j+yL2ZUX/1HPP9o/u42F8m43ZquUV/tsToa979GcedZQX+jd969v+8X1ZkKTIJwr32Gf8/F9/4Ms37sHH8AkhhAxfFi6Mj0kjQcChaEzFoAq+1A9XldFWkZyKRwHjUURWfdVGcZnagtWHUl69D6SiXMWpNYaqXaW8Uo825rB9sN7qv5Qj+uKETI7mUPIJAb0PwU/zB3+MxT7UR/t/efy2vpTFDkEEDlInmPI2q0S03qIuLm/DEqlrU7pta+Kfl4jWI6U4LC3QB6nL08m3VKcMVpuUD46a6le8dRUcV78t/7xE8narrpsyR8Q7ruCrrxLsScnqfb6Sj/6SR/foyzbgg098p1/R1336+R59v6J/+aXuE+d8yJ11/pltsS+v2eOhfGs23GMPLFmyxC18IvyFsuX28R9LQgghZLgxbty4lpUSBWJJGKZivC3iEnEeRSKKQBSH6F99fN8SxKl4RVuwxLtird6XRG+137KtOfAaNX+oK9sxn6DXjT4hn9rV/stiW33T67bylcYXvx/sQ30wNn8CII6rL9eCR3y59sr46yKKHbXz0mpDtB7J/Uul5Ys0jbFiSz5SWjT1L/lYvlqPoL9g5bBKy7cOyyePR59Baev73VxE/PYr5/gVbxHEUt+7U1z9xlilLidSV6exSqke6zSXvgbPEuzqK+NXP70WAX3yePGTP7Kir/v0dVU/F/oyqSuP76PYx0P5vnTNV73Q1/fpc2V/9Yd77IF7bv9de+Vj2j77+pIQQggZzuhqakRFXCraqkJYRZ4K/PgYNtoqAlUwRjvECyoEoyi0/KsCNvpUxTv6WeSit5oXhW7VFjRHOuaQI9SV7eCroNBPRbfa0R9tIfULpNeN48aJ60kAAEpYSURBVEa/dDJEwAmE4KOxsc987Eq1Xl93Z233sASQYrVpnZRNUN9SHiTPjbFap1hteZ2UiNXejX9eh+S+GKOU6jHGwmrDXKXSos5nQG3P9Yl4EPRYn5PnKebM/HKa5EEfq33phHD+hAp2y1dKubYo3ud6W3wUjc8Ffo74odCXFX18fB//G9VD+S694mNe6L//2NP8+/Sv+NSn/aq+PML/l98/1PImqxPcYw/c/UA4DV/+49hyyy28TQghhAxn1n4u/IKpoChHLJFfFYwl8WqtOGu8Jaot/6owxVX/HPTDcUQ7ED7HCQUh2GVRXqLaZ9nOc8WJk1S4p+LbGkd6nzU/5oiTL1IX+0wnN6QdJ2eCb+gr5ohjj2ifeX2+xx6FiyV26tqU3AdLBOssfwurrS6uLpfGoI11ipXD8sMciOVbQuO7zYMxWCKd2q06ZaBtUiIYgz55nrxNSqQUp1gxOXn+Us46HxXvcrK+2tKOZV4voNjPhX/+Lv0j//ak9l79XOgvWDjPC/3vfO877Uf4p08/zL9T/4JzzmsfzEdGPtxjD8y57x5frr3BaDdp6kbeJoQQQoYjz6xc6svlG6/rS0VFIwrDnHSlOqDiLhKFnr2aHwW7loLasX+1gyDFcWEuoeoX7DjOqqDGz3bukh1zpE8zYJ8lW/uK9wtFtvoIWG+PAwV1tNNJj9K9VUrjjOPDvvPrjf2nPzejNwu/C+V77C0Bo4Kk1FbyQUr+St5W56tou0Wew8Jqw7g6muRXcl+rFJr4KNiGWL6lXFadMlhtpRKx6nKs+G5z1eWQErFW2a14LR9+Pp4fEHLN9aU+rp9/VrEv9ZM3Gu+t0sq++MofEfvWoXz6Pv0VPaP8RJ38kUf4RezrwXzyCL/s1ZdH+OVQPn2Mn4wcuMe+xZ8XPO8enx9OsNxqm21cz4odvU0IIYQMRzYdtZ4vR/WisA+iLhWL9SI/CsF09RzFH7bhyq8S8oc8amP/KDJjfPRR0Zn6RVuproprnxhfvR7LRqFrie+QP/RftXXs1XsbP+t3oVj3JNgYE+3Qn16z9ivgdQasiRQh5sN7kK70p9cYx9Un6BcHQaJ77FGoBGESQSGjaF3uq3W5v4JxGG/VKaV6JY+1ctX5WJR8rVJo4qOU6jv5YjvWIblvXiJ1PkPRVqIUgyVi1SkDyaG+Aq6y18Xn/voY/0svjfft8ri+lPJZkPMFVMBLvaz066RAFPuhTf6EiYC53kZU6Muq/smnzvar+jOPeGf7nfoq9hV5hF/26ssj/PKqvdnHnuQuueBiv19fV/Z5Cv/whnvsW6z1zJ/coifCf0S77rCj22E8V+wJIYQMf1b24KP4lqiLq9yxLaDtwY5CV8jFX4xN+xBC/pBHbdsf+wn+kkPFZL6SnPdTXRXHPuP1Cng96bWlMTkqgLG9auvY471VrImDdFxVO+QQUmEt6DVjv5hD7xmOw86nY46EPNVrFKRt2UZhW6Ks8gkqUBQREpagUfJ2FDp1peWLWHWd4qVE8nbEirXK3BexfJVSTO5vxSolXysmb8MSsWKVPBYZzLa8ziqRkp+F5Ys0yaHgyrmVV+PRzuuktGy3NBXweAJ/vmIvMWGiYJK3BfWJTwKEviUHvlNfxH7pYD5BhP59985pP8YvK/uz3nuMe+v+B7gjjjjS79cXoU+GD9xj3+KpFWu1T8TfZaepviSEEEKGO/kee1vUCfGzCjoUc9qWimv1lfbqqrfk1HalLDTVjnlCbBSc+WSCjgl9BOwz2un1lvoP/mqj4E8nBgLlCQ21MQbtdCzWvUttzJnaShizgHHl1fcAfp9qh3b9/uP14v2QNj0Vf63eKBAsUJzkJdLER+uRPKaOunhE81lYbZojr9e6/ubH+LrcVolYdYrVpnmQwcyvdNumdVab1iN1fnmeTnUI+llxKLxFSGu9ov4WmA/B/NqmftXH8yMao4JefXDlP/cRtA/xz0/gx4P5cGVfnt6Rx/hF8Mt+fVnZ33HKdn6/vjzGf/FlV7bfr6+n8ZNVB/fYt3jg7vvbh8NM/etX+5IQQggZrpT22OfCPP+Mgg6FqJIKxbiaXloBT8VpGm/HaL8xN4pWQdujjeQTEqF/OyYV5oJee7TVXycGUoGNY4x29LXa8Z5r7jo7kE5kRDv6xnFhXET7xVj8PtQO7SEHjhXjBD0Vf8XCIAZysaFlXoegX96G8Urur+15Xam0aOpf15bX576lEmnSVocV3ySn1Yb1pVKw6pShaFOsNoypy6H1SNM6xWpL+5pbEdsaE31StK1TiWg9inR97D73T0X/3GTlX/30M67m54gPHsx3WN+fgw87xB08891+ZV/37CP6yr0br7vGXXjmOf79+uefdrY7+eST/WP8ehq/bH0mQwf32Le4/a67WpZze+86rWURQgghwxN7j30uzKuf81VZIQjGVFwHooAsrzRXBaJSikFhGUhXw7FdxxjzpxMSej3VGBX+0cbrRDu/Hu0z9pXb1dV9vK94z2Ou0iRBeaU+CvUwPuta0D/9roNfJ6wYzTmhd4Iv1xqHgsEWPZbQQOpES14iVlwnX6tESu2lWPRR6tqsWCnrsPylROrqrLhSG/oopfq62KFoU0o+lm8JK9aiLmcpVvbD6954L6KBvE/NbdUpVgyWqUgfX4n3Pn2oYJ+3KP43mz9RIL4yUaCE2HAN4puLfulXHuHfbfvt/cq+7tk/96MXuROOOqP9GL9bFP8+1Pfry8q+nsYvgv/gvae6fV/1er+6L2I/f8c+V/gHBvfYt/ifO3/jS/nhJIQQQkYK6R77OlTERnGY1qlwRXGHwrEkcgMoEOtj7PwqdKNALovWKIrFDqK3mluFf7T1OtHG9nRyAu8N2kJ1dT+dHFCa3L/ySn285vK16DhycKIhJb2vKZjbuSU9j/lS9tiPWVkVPig8cqGhtIVJAyzfvA9tr/NFusmpYBuSxyF5rpKfgu15iVg+FnU+2Ibk/lasgjlyn8Fsy+ukRNBXsWLqYkslgm2dkMPtOuVBrDqrL/XL6xVtw1IFu04CCGonj+WHB77a6DWIb/p0QA19OTbbYeP2Y/znfvLj7cf4g9jfpb1vX9+sITy97HG/ui9iX96zL3v2Zx51lBf7V3/pen8qvz7OT6HfHdxj30JmlQT54SSEEEJGCvke+0AUetWVbrSxzlopT4WjZVsiMbQJ1iq1lV9B/zrRKn2G+oGu2Mf+8smJkDf4hbzxXup14/jxXsa40lg6jcui0ySGoG1xXDpWa8yxn9QnsKx3G1/KHns5wCsXEV4gAHV1pRJp4qP1dWB8HaW+OsV324a5FauuSV4sEatOwbYmOeraLAazTeuwDessrDyWf51fXiJWnKCTXYteLovgTrlz6vxKYjvJ/1w4KV8RW1fgwyvzwsq8+ityDe3P8HSAoP1i/2prX1pKnDzGL3rqhHcf2yf4D/Cn8Z88431uxvQZ5iF9+uo9fZRfTuWXd+3L4/wi+OWgPhH9ciq/CH5Shnvs+8Afkv33f13LIoQQQoYvpT32Kt6UdKU7riqrsFSRhyu86cp12pauBEfhGgUh2tZkQlXA2pMPil6LitB8gmBgK/YlNK/eHwFX0GN9FMfx/uJ9tcfSaVyhPRBtyx+v34rXsaZj1v5DGe+p+kj9mJ5Hva2n4guJiGj9Mm/VlWgSLyWS++d0ildyv1KdkrdZPkpdm9Ipl9WOfk3rlCZtdWBsf/N326Y0iavL060f0iROUDGcxwtWDoumfoKK7Twmr8N6QVfgZXJOX6mnWDFRwIdJAO03iv34Xn0LnUgIEx6TfJys7Mvj/Lq6L4f0nXvBRW2xP37cxPbKvpQi9vFxfhH9ciq/PM4vh/XpO/ev+9Dn2+/bzx/rXxMZtbKPlr1aI1+yHOAg3HprOtsjJzjKDJH8IP377b9w48dv1mohhBBChieyeiG/6PSuWNttO2XrVq0gQjMItijkArFOhN3irD3EdSb6iSDHiYMqmLNp/ojm13HnpWBdp9Vv8BMRbNvxfuT3pjpuq3+rLsW+F/k9TD+rXyzL41TSfvJrsWOQGP/4/F63cln45V5+CRdUCKDdqbR8rbpOJcagPVR1VlvJLpWWj1VXKi1fq26wSit307qBtjUtMQfa/fUrlXUxdW2dSiu2aV1/fZT++IpQl/MEBBH9ItSlTajLpaWAcVqHtpMjY5YGv2VPPuGe613a9/dP3989S0a5xx991C1f/GL7kHML0XDrb7CR23ybiW6rvn8PN+5Zz08kjBs3zm03YRu3ztbrrxFnqK1Rwv7YY6f7x/FzYS+PeMhskJzymLcRQgghwxEV9rLCMXmb7Vq1SCrwoo3UC71cZNaLQmxPfVHodjcZYKHt6fWV+hsIqWgPEwGB0r1tNqam42sak9/Tqq/13YWxqm9eCs88/ZBburjvF/pFy/z+2dIv7qVf1jv552WTmCY+Ay276cPyterqfEp2XV2dD9p1dU3amvgMRlvJblpiDNr99ctLy3cgdau6xDGUbKxT6tqETnmsOBX5Sim3EvwX9ZVjveh/8pkn3MMPPe6efKHH9T7zYMvLRh/5X7TuS26LdTZzO03d3k3ZbS83dY+d3GumTHPb7T7Ft68ucMW+D3mcQx73kMMePn/1ta1aQgghZPiiwl5E19Z/tUurNoICLRVtuFJdFYqdhXeVUq4ICt6UGBvFp50v5sD2qm/al15P8Cuv2GtMPpmBuYRS3yU75sBc1bxV6n3K31OzfjqNUdofnuv8ir08in/WWecmv7TX/RI/EB/LF+06v6Gq68anv2398bV8rLo6H7T70z5YbXU+Vt1ASyunVdeNj9Vm1fXXv1RiTMlu2o6lgHVIKc5qi3UL+qxJ/rNSiltv/rrtpwQEfGog5+EH7g8r/A895p56dJ578uWn3diXwha1ulV+Rfb8T56ylRf8u2y7rV/hF2SVf8rmYbwj5WnuNUrYzzzquL5/CEcnwl5OXDz99FP8Fy+PmZ15xqmtFkIIIWT4cvXXv+r+4e8/Vlmxrwq+krgL9UHg4Wp0FfSpy49tGJOKSKU0LiFt6xw/NCv2Ecyf9mvbARxH3TWEtvgdoG+niQbE6i/W6TXgd13KF+p1xV62e3z4gx9ODtgq/UJeqrPaSnZdXdPSim1aZ7WhXedn1aFd59eptHytuv62WXWlss63v21NfK26/vrX+Vh1pdLyHay6JnZe1rWVSivGqsPV9rytaSlYedDGOsGul21C6USBgo/0L31uoXv22cX+79EX+uo7PdYv9G6wttt2s63937+bbLKBW2/jcW7i1tv7swU2njLOTd5+itt98k5u/fXjIYDDgTX+PfZ/mR8OhhFkHwYhhBAyEmjyHnsRdSjc5JcURUSeEERfEJdVROClh7XV5cc2jAl2II5B+wx9CNgm6JiCGFVEoMZ+1VbxKqCdorF1thLi0/xCvF69h0JqS4weSIdjCuh12t9BPHhPwHsafWxiXMwR7108RC8S86VlqNdT8Uet09sW9fKLNWL9wm3/Eh7ANqSTb5MSGUidgm1q52WpDbHaLb+ST51vHRqL1MVhX1aJDEVbjuVbF9+0LifPKSWSt+X5OsUrdbFIKQ/6ok9dfNPSIvcT8BF6pZQzj5VSBLeAebBe0Vj5g2iu4D/Jt+fv3Rckv+yxlxP6D9z3YP/ufTm0T96/f+q5R/nX8pVO6Rd6Fi9vH9x3+y9+nZzYf8FxJ/vX9J1++nkt7+HDGv8e+/sfecTP2sjMzG67vapVSwghhIwMyu+xTwWikArvVCyrby7wop1TzR9JRTNSEv9CKmIxPwpaS8Rb40UBq6QCvWrHcUfRHe8TToyk47NsHXMYB8bqdWqfisYF0vsWSO855kQbJxniOALpNcTri2XIL+XoxU96Wxi7ztjKL+tWiVh1SpP4HPRF6mKb9mH5Wf7dtFklkrfndYjlm5P7WL5Wu1UiWm8xmG1aVyoRq05pGmuVFpav0DTeis1pkkexfPJ4y6dJfV08im+xtb1JTkUFvYhxzKf14q/1YnfKI/VLJ4R/A7Ud80qdvA1AkTZ5Z78K//yUfnwPv5y9Jqf1bzxuE/9HxL9sS1prXOh78q47+HI4sca/x14e0xDkQIVJW+OpwoQQQsjwx36PvRAFIgo7pbTanAs9IdpBbObCOYpF7SsVzXb/Uof5Iphfc4d81f6t9qqvjiudcKjacdw4fqW8em7bMUcei4T8ISa9vpgzji/WpTnR1utXX/wu83HE7z5ep8Yubi2qyXvsk/dct8Bfui3wF/K8REo+WApYh1i+OdheKpFSe12sVadoPWL5lfIhWpeXSMnHKhGtR+r8B6tNSqQUp+TxFtiOJZLnsPxzH8Vqa1LXqWwaY4E+Qsm/5KN1CtapmBbQ7pRfShXb6iev4As5wls3AsHW3HlOzZcLd+1f2yVeY/MYaQuv/as+DSBstWij9nv4ZZX/+FNPdsefeJI7rE/8y/v4Zx7xTi/8X3/gIW6PbextAK8ka/R77GXf/R13/dbbW+4yia+5I4QQMmIovcc+XbkNYhCFbsBebVb/gCVWQxsKRSGKxSiMcRzV/rXOypeuSqMQjavo9e1C6qvjSiccbDuMs3ofI+GzfQ+jnV5vFZxYyO9HyBVzxvHl975Men35Nej41AevV2Mn9E7wn2SlSn9Bxl+kBbQVrcMSydvzOgR9lDw+Ly2fvA5BHwVjrfYmbQj61sUq2m5htVk5sQ6p820Cxtblatpm0SSuk09eZ5H7K6U49C+1IVZdKV7rkU6+eYltSJ2/YtUpUUzPTYS12p3yq1hv14d/vvrs8W0/OfV+zMoY1ykXtqU+c/1nHKfGyJMC6o8x6msd0Cd+IvjlZP5ddprqhf8+++7ptp44ueUxfFjj99jLIQrCjlsOvy+HEEIIKdFkj30UdkIQjSrQo9CLtorG8NkWrhofbZt8ZTjtMxfOVUFeJR2PhTXe1DfYen22Ha4tvY/WxEPwC1j3M7Snghk/R+Fd9oljxzgh9heoXkdqV+9H+n3k35e0ze+Z7209aEp/IUbwl2pty+ukRNBX6eRbasc2pK4uz4H1VmnRpK0uT6d2pZRLSsTK0V/fbkpE6y3q2qxcihWndXlMpzq189KiaZzVZlGKQbC+qS9i+SmWfw72haWgq+D6GLvua1fBLOQxUlqTAIr6Yh/4ZJD4q41oHmnD/gSZGJAJAgHHJoivPCmgYGzqG54cwL37vZMecw+OmurHJ3HDlTV6j/1DT831r7kTph8+05eEEELISKJuj72KuijgosBDsRrtIBpVuMY4FbGpQCwJUwTbgn8QliXhnE8uRBsFrY6tJGQtXyG9Ptu2SHNof7EO70uaJxfM1QmPOp/Yb+qj/cUxVK+jagffOH4cp6Lfl7Tpir28eUHQX6TRzkuk5GP5KnUxFnm+PM4i98ESsXLkMUjeJiWSx+X+Vp2UiNWOpUU3vgr6IlaOunxN2iyfurg8pi6Pou2I5V+Xq5u2UokMhi9itdf51/laSL0IW0H3tQu5YBe0LxTMakseFO0Yr2MQ1B/HJGJ74sS0Xv0Fecxe43R1Xmj7PpdeZ4ydC77hKQKZBIjtk9z2K5/xMfJnuLJG77F/4O77W5ZzO03buWURQgghI4e6PfYq6lTAlVbGUzuIPkHjVOyVYlB0YrxQFbJBZCJWXh17tAPBVlFqCdnqJIHGqAgWcMKhZAsodNP7Un7UPc9hgf51xD4i8X7pGOL9Fjpdg45fqPu+lvUu9OXaK6u/LuIvxqVfdK02jLFKBNuEUhzSjQ+ivoiVI6/r1GZhtTWt09yI+pVKpJOvlALWIeijWPFK3oZlHXVxUiKdfLFE8narrr9tyGDEIHmbVSKl9rqY3E/+INKmgjwX4FjqqneIn2uu9KOtsQp+FttPKCzFffnleyW+2IbkMSLm8YBQX9+aBBD0WjW/lsONNXqP/Y9v+54v5aRD7q8nhBAykmiyxz4QRZsleoXUjqJPUbGHItISlIIVL+C4oqit5lIbfVB8Bjvkz68V29AOoBBPBWzJFvBzFNQ4luo1YAyOEe3ydVbtCPal/Qv296Wkn9UXc6XxyorW9eavgkL0F2NE66w2rUdyf4yzctT5lUrLB7Fi6vy7aavzVZr6KbkfxiJWzk6+SB5v+eRY/lIiVns3cRadYjqVyEDbEPTtNsbCarPyW3kVKwfG57G5rxAFeVjtzn3ks656h3zjzZV+XFlXtE3i0NY8+jmPs+qUOI7QrraUQumVnoJeK8ass/Xweoe9sEbvsf/jnAd9+do3vs6XhBBCyEihyR57QcVoEIFV0Vu1g+BDG7FW15W6eBxXnEgojyeKcLVDO05CpNeKj5anj5mroC5dUzNiTr1uHBdeA4JjzL8b+zqrdsid2+m9EPKJjir43eC4BZxMCOh77Adjj31eIlqPWH6K5Y+5sURKPnUxpfa6WKtOsWK69bP8sQ3pj2+pPW/D0iJvxxiklMfyxRx5HNYh6KPksTkDbctLJG+vw4pXSjnq8jbpO/eRUqjGhRV42Xtu5ZPP+aPv6KdiWQ6sQx/BWtG38mNc3q7kuZU8Hm3014kFAduffzL/+/yVZ43eY79g4TxfyumGhBBCyEikbo+9EARiSfRatgroaGsuwVrpD4LQjs/FopBOCNjjsVfjhap4Dm0oVFMfFdQ4PmtcQmmFPea0x5jei040W6lXu3zP45gEnDiw71/wt/JJW7iu2O+Ynkd9Ke9uFvQXWrTzEsE2pEms1V7nr1g+VjxSF2Nh5VCstlLu/vqhTw7G5PlySr5SWlhtGoNYdU3yaowVX6Ku/7xE8vomMd20SYnkcZZ/XYlgm0WnPKW2Oh9E6+QgPVmBl73nWI9lXod+ApZYL5MGKKibkPeV5gvk7UipTScWZDxaL+WY3nW8PZxYY/fY3/zDW1qWc3vuvEfLIoQQQkYWdXvso0js1lYhqCu89iq9tXKtqLBUsSho/rTOzp2vbqMY1dwxX0n4xgmJQPxs5RNKK+zaV3mMKpqD6BdycS2EPM1W6tFW0ntevYdK6f5p/7YthH7ls67Yy3vsc+p+QVawDf0RzFEqkU7tdXVYIk1iLJq01eVGu85PSiSPKfmVfDr5Ck3jOrXnWP5SIiUfq7TQ9iZYeay+hLyurq1Up1h1Jd+cuj5KJVLXpvUI+mJbPME+7Hm38tXV5aUgpQhoPX1fqYtRrDorBv2sOkTGYp0L0O2kw6pijd1jP+feP/pS9o1tvmf+Dz8hhBAyvGmyxx7FX/9sFKv1/kEYBluwRW9VXFqiHEHBqWju0L+QTlAIOv5YL7lQAFfz1aFjw2tW0mu370F5oqOZHco4DiEV+TYaF++Lfb/zHPJ59OInva177Ot+Cc7bsESsNqxDrHiMLeXIY5Tcp0mM0jQO25CmcRZ5HJZI3p7XIXW+SO5XV1p08tP6OjrFlkqkiY/Sya9JG2LVKXmeuvi8RLANsXwVqw3zY3teJ6Xa8ii+iN86f4uSjwhoOd3eEs9WTCmPoPWI5WfVCTKW8Iq89MA+qece+1cY3GM/77Gwv37cltu4dZ7cxNuEEELISKHbPfZC9zYKzHr/IAyjWM4Juarisr5v9MXH1KtgznRyoypk9brq8kXUD68NJwziFgT1s/LaEx3xnnWyQynEcYS68P0Iet2h/1Cf+0h8HF96HRgn9uLWApXuscdfoAW187IOywfjkTxvXiLd+CBWTKeyDvTpT5zla9WpL1IX262vtll1SidfKRGrzoqpy6H1aGNdCcsHY+ty5e1IXZuC7VaJWD5IKb7kb/kqeZvlo/UI1oktj+LLe96RJrmtOkEFvbzWTlfLNQdi1ZXAcVhgO/r50s+hT3KPPbJ5XxkEvozx5ceWuCVLwt+Nw4U1do/9nF/e5ctXTdveTdwuvKeVEEIIGWk03WPff1sFZlUgCyVBLVSfHlDRqeLU3l+PdhT7Km7D2FSERmEaBW8uonOfkCfm03Ycb7SjqLauB/vVOrwnFul9wmso20L4rPWhDvvX69brE4Kv3oPSdyzodcZ7lL/HXqj7BRvb8jrLJ6cuBukmR6lO0XoE/RErHn2xRLqJQ1+rTrFiLD+lG19F/ZA81sqT92H5lMCYOiwfq8+8RLQeaeqn1LVpLiwRra8jz1GqU/I2y9dqQ3L/HKtdT6rPyfsq1SHtR977BPXjY58PtgHmaFJaNPUTtt72Hr9FQPx0xX799YfXqv0aucf+v+/7nXup73/Cxj3rDbsvhRBCCGlKaY+9CmIVdv23VVSWVtajnT8tkH5WIRlFb5OcuUjWNhWhKFLDeCM6/iheq2I55kjHm1+LUK3DfOlkgGBPFOR5Yv8l277mOGGRX3cAhXt8qkBJ73e4T9EO5fye+d7W99jLL7QW1i/EVl2nX6LrYpBuc+T+VoloPdq5j4K+JTCHlQvbECuu5FvnJyXSyTcvLeraNBYp5c79sK7kj6UF+jShUz6lLifmUJ+8TkrEaq/zr6vr1IagvxWnlOJz8nxIXV0pDh/BV5FfiinlEPJ6y7dJnZShfjycK9D3d+tjw2u1Xlgj99jLF7F8cbC32XuqLwkhhJCRRGmPvS3ohP7aQQyWVuk7rU4LQSzqZIEKys5jwDgVxugnoE8+Fhy/+sXcUdhqrjLV9jyfkAv/ThMFIQdeR9UW0uuq1mN7iJUSry9dsRdijP09S52u2OOp+Ij1y29O3m7F1OXB+lIpWHU56IPksVaOkk+3vhZ5nk5x6KvU+eVl3oaUYvLSos5H65G6XHX+nUr0ReriLEr+SCmHVZfnKcWW/CyseCWPtfJaYIySx9WVglWXU/Jpr9i78H58AX0RK0eeT7Bim9ZpPinVlj/DkTVyj/1f5j/qnlv+Qt+/ssvcluPG+TpCCCFkJFHaY6+CLgi5INaEdIW2WzvmqrdTYRrKVHhGIZw+Im/ZGJcLYx1fFOoSUx5L7DfUh886Ruw/kObI70U6NvXrjlxQ27ZgfS867kD1nmmp14E5Mbb0PQuLF4cVezwVH3/xVbtTidTVNYkv1TfJgXUI+pSwfDB/KTe2CZa/tilWG9bVUYrROqXkh5Risb6Up1Qi/fVH0B/Jc5XqlKZ1OXX5pUSsfN365fVKXZvVh2LFaV2pREr1nXJIiWi8rNbrvnpZIdf6UpzWI+iblxad/PJ6sZ9d9uKgH553+7//umX1nzVyj/38+fP8Y2UbbLap2+a1+/o6QgghZCSS77GPwg6Fa6wXurNTUWzb4h+Fo9raHsVj+ii8nQvtquCWdiH4qKC24tOxCLlwxTHq9aZPBmAO7VfvSxybJfyFfOz4OH7pnli29b3omKo+en3p9Qe/6r0LtoD3MKCH5+mp+Ij8Ai6/4Ar4SzGCvwzn4C/LpTiMt3J1m0PJ2/rro/WI5W/F1vlZbUrJp0mMhcZY5Pma5ta6PC/W5yVS5yclktc3ibHqlKax/fGxfPvjJzSJseqUurgcy9eKQx8pkVK90j4wb2w4hR5zIZin5JNTisESaeIn4xysR/EXLHjai/pZ7z3GXXzZlf5zf1nj9tjL4/h/+PN9/vPaG4x2f7XWGnULCCGErGZU99jbwjWKu27tkK9kCyhYhfRzKtTRFur7SAV7wB5jtS6SivWQR/NjnIBPBmCeKMRjfh2bJbzj2HXcaW68D01sBScRyj75taWTHUJ1YgHve2CD1lZXPRUfxXx8XLYqOpTSL8VIXRyS58rL3AfJ/ZG8rRsfy1frkU4xVp3SJE7KOjC+5FvXprEWVm6sQ9BH6dbPKpG6NqWUpy5G6a+P1c9A/Ky6nLo8pTarRKy6HMtH86GNdfj3STiFPoB+ec68rVQi2IZgXZ4jB88AGAweemquu+iSi/yi89cuu9R9+JKP9Fvcr3GqVh7Hf/yh8EqG3ae+ym0wnifiE0IIGXk0eY99WWAPlh3IH5NPxXH9yrQtilX4othUUWqPpZRHSMcX8mj+/Foimru0sh0FO4rt6gRAFNMR+16UbPwete86v+ATr836DuL14D1Iv9vRm23kS91jr798x1+W5xZX7q3S8qnDyiElYuXJY6y6UpuF1Zbnycs6mvhabVZcE7+6OKtNseqUbuLrfKz2Oj/E8lOstjx/k3xWTH98tB4ZiJ+i/p1KxKor+WK9lBZNfBSrjyiUw6vk8lx5/lIb0iTGwsqVxyeTEIPAww8+5B6fH/5eXmvcWPfTW3/kzjvvLP+5W9bI5epH/vAnX07ZbS9fEkIIISONJu+xtwRtEHYDt4V04sAChWK6uox2yJvbKEKjULdFtJDmEazxBZ9UGCupv16n5tWV/ly4p+OrTk5YIrx8Lyw7nzhp7heIY1LfeM1CvG68h6590DDusRfkl1z5ZVxe/VRauc9/OcZfjBX0tWKUvB1jLKxcGFNqQ9sqEYxRSnF5iTTxUbQd6RSLbYhVl2Pl1tKizqeUR0qkzk9KJG9HrLa8TkqkU3ve1o2P5TsYflgieb0Vg5R8kTy+qY8FtsW/QyaZMVad5kfQT+26fFabkvvkvoO5aj/zsCPdpZ89P9nydPsvfu1OOGGWf5NbN6xRwl7+wXv80Ufbj5Qd8trX+5IQQggZqZTfYx9BYYrCbiC2gEISRXEUh7kotu1qH0IUrLjiHNujrX3HtkAqdDG/lTv1j9cQY6ItxP7tyYbQH/YVbUvsV+2c6j2u+gQ0T2hPxyf1cXJGwOuOY3VuhcYtiv7yC64gv4wvG/Wi+Quu/iKMWL8oC93WIbmfFZdT16axSCm3ladTvEWnGKusw/Kti0PfuhIp1Vt1Sl0epFN/dWWdL1LywdLCastj8zok9x1sP6xDmsRacVYb1llYbZgjLxX9ewTrS74C1tf5WXU5pVxInkf+/hvMw/NE3H/kc592W287uVUTxP2lH/uE+8vvH2rVdGaNEvbyD+JzC59tfXJu/7fu17IIIYSQkUnpPfYRFaDpivbg2JGqOEyFdJ0dCHYUr1Hk6oqzLaCrAt4aXzruKIhxhT1SnTRQ4ueYz16xr94njNX8dXYeX73H4Z7hdQVb8+C9FnBipHptgXj/lvVu40s3Ntwv+eVbf+HVk6utx1L784uy0LROqcuLJZK3WSWi9Uh/4/sTo5Ticr+6OqtNKbVrPYL5LLA9L5Fu/RD0R/JcFk3y5XmwRDBG6cZ3sP20zioRKzbH8sE6zJ2XFuij9Ofvkbyso5uYvB1jkPB5rj88b8mSwXuXvYj7Kz//D27jcZu0apybc8dv3Ymnn9h4z/0ae3Ic3jRCCCFkpNFkj72KvACKusGybbBfHE8qJKOAxPooXlORK9gCOkfjdLU69IHjrlthT+9ZPmmQi+swhtKEQz5GjK1+T9h/sMv3GScv8PuI9wzbox2vS8DxoI/mGNPzqC/zPfYi8OXkakF/6cVfgvNfkBVss7ByWNT5lHLkdVIiVjuWyEDjO/laMVqPWH6KlQ/96+oQ9OmmRAbLH8nr62Lq2pRSfSk2Ly2a+FrtA/HLKcVYsU18FG1HSvGYB21B/h7Bp35w8hDjEazP89aViOUjoK3kfqEc71fs119/cF95t/eu09wXv/KVRKc+9sjDbuZRR7m775nTqimzxgp7OTiPEEIIGak02WOfCktcAR4sOxWYamO/OB60JY8KyLS+ShTBpXGkglhQgW2Jbxxf3l4W0ymhP51wkBgU43ovQjuOU0m/J4nBXNY9Tice4jijWMfJgniN6BtIJ1gCOm5F+tEV+3yPvRf4S6u/HCNab5H+gtw5R95eirV8FcsHsWJy/8GIF6w6xYrBEsnbLUrtdXWdSqRUj3VN4hHLr4QVr1htWtekFKw6xYrBEqnzRQbbr5tYxPKxaBKPVHL2/T2Cq/Vol3LX5UWSfvrAfCVfC8tfGKzX3eXs+eqp7uavf8ftf0B8slzE/SknntjxXfdr3B57Zcfxe7YsQgghZORSt8c+itlUdA6OLaQCE21LzCp1bQIKWSEVwVVRLoS+Y784FiF8tgR32i6g8C3ZaT4hnXSI/adPO1TBHLG9Ksx1nDoRITEYm94nnMjIhXzqF/IEGyc/etor9ul77NOTqxH8xdnCatM6bKvzQzAWsXwVjLFKROuR/sSX2utikDxHqbR8sc4CfbFE8nasQ/IceXvTmLrYOh+lrk1jkSa5rbpuc2EdMpR+6K9YMZZ/kzopLZrEaZv8nSKP5OtntUu5lXK+QKm+k2+pzBnMPfY52+0+xX32s1cne+5lO/npp59SK+7XuD32yg6viTeKEEIIGalYe+xVrKmgVMEW6quitlu7JHYF/Rz6zoVs+Jy2RZ/Qh467NDlQGpuVOxDHmK5eV31DPhS+JTuQ54sTDdhnvI70mvQaNEf5ewpgfYhJ+4/gZII17ojmiXa4H9KXrtjje+zlJPy6X3YF/IUYwTgrvi5nHpvXIZavYtWhr1Ui/YnP/ZW6GMTKgf5IXV2pRLQesfya5MopxXQTi5RiS/mxRLQeqfPPwXiMyXMOlZ+UFhhnlYjWI3V12JbXNY1T5LF2eSRf23Wbj1AXp2B7E/+SrxVT5ycr9vOW1v9sDITx4zdzN3/72+71Bx7Sqgl/Fx939gnu5h/e0qpJWcNW7MPNl5nn7Sa0DoQhhBBCRiClPfYCijUUeeXV7u7sOrGbflYha6+UY10cp36OfQa/dBIhHVuIUz/MIeCYgk8Ur2lcU9JVdqtf7NO+jyi+00kJrNc6QW3sW8gnV/InNZQQh9ce2/EaxJa+Ri9+0tfgHns5Cb+E/tKLlH4ptij5WiXSxNeqU7Qeyf0HGm/VYYmU/JC8vs43x/JtEocxWCIln7oYrUdKsUheb8UgVjuWiBWvNIm36hQr90Dy5XHoi3VIXUxO7odYdXW5im24tadPr6lfnrvtA6XQjX/JV+uRTn4T10vbBhsR91de+Uk3Y/qMVo1zPYuXu0+c8yH39RtvatVERq3so2Wv1shpgieffLK77945/h+o4997hps4cawbN3qcW7hwoRs3LpbLnl3qloxzbv2FjiVLlixZshyW5f1/nOO+873v+H/jeCAsGQrkPfayQtS7Ym33rhnv8HUb9mzhXugNgh/tpozZYku37MknWp8CVp1FUz+hk+/itddxm22+eeIjdRNXbpZck9RtvmGP63l+XKXe8s3rRjL5Pez0WajzURvvfW7jvc4/rzdujHvqhd5G99j62bS+H/TL+0OssWO9kLfl5PfGoolPHf35b7JbrPtYd+3yvS1dGCY99R7nn+Wezxv1dLsNYyzy+2SNSci/n/z7tcbdtG7LKVPc+AnrulFuk4qWlFJoUielaM8xm6zX1qByho7WCTKR/5Ur/iF5u5tw7gUXuTPPOLX1aQ0V9oL8EvTi08+7xWOdm9A7wc3vme82WORcz5h13aJ1X/K2oO2LF8/3NutZz3rWs571r2T9kp7H/CPS6/c+035EumfT7d26L/7ZrbvOpv4zWbN4Ya1NBv37l5wvP/eX9sF58jP20ouPuHVHb+vLTdfZyD3z8vPJZ4lBW5BxvTR6B29L29iX1nXLNtoi8Rvz/JP+d6+6OGmTiYY8Ftux/5Kv5pVS/jta3vNku13bMKYbv7yuZOM4hKYx/fETSn11+qzfi37H8veP/L5capf6/L7jZ/3u9Z7KGQ4yrnUWPOL/ftO8pTHkPyfol9tCt346Lvyu1V+vI/epu95SDmwT8LP130Kdf/65ZNf55W0C/sxYNvrrPdHvM+9n7d4t3NgxixPf/LPez0XLNjDvv9iCfq67z2jj9yZjy+9v3j/W6fVsuOJZ/3ed/vzjfw/LeoNYl5zyb7XqSPXtpk7/jbdyKvpvviJ78H/+i/9sfVqDhL0ghw3c/cC9/vGJNxx8gJuy+ST3wvzn3ctbPOvWebLvH7C+cpMV27braNOmTZs27WFjP/OI23DTWPeTb/63u+ryS934cRPdZ6+8yvXssZ2b8NQyt+GEjdxDT831/8aN9FKuef64Lf11CXLd8u/1U2s91yh+TSnlPrnlmwzou0/u9drPupc3d+6Ln/iafypEnnT86ff/o33/tcTvRPrGn1HN0fZ/yiU/vxj/3Py1whhabe3Pffk0h/pW8tTkzduwn7ZPa+x4H/J8eG25X/sz+Ft9Yx7rvlT6h3G076XmhDbN3b6e0jXneY0Sx1WK03Fa49Wfn9KYKjFybeoD90d+ljv+/OSfsT/NVWjrFC9/3+Zj7c/1mv3XXAdec/Kzoj7Qt5bq387fZxfz5nmMMcjn/L9HK2dSr+Nt9SU+ne5f+3MrF/57l19P2+7rX342tN7yVT/so24smA/zyPWU4ttla7zPLg8/BxhTuk4dY/JvepYv8WnVyXcy+9iTkhV7WaS++spr3P5vjafnr1HCvglLliwx30nI+gDrA6wPsD7A+gDrA0Ndr8j+uo9+6IN+xv7/++5VbtJ6u9T6E9ItF5xznhf2cjbR7/74+1YtIYSQ/tLp3/YceX/9Oe+/wD32yP2tmiDqr/vG9f699wiFPSGEEDICUWEvK/Y3fv1f/OtxCBlMLjnvCnfDt691KxYucg8ufLpVSwghZFXw3/f9zp1/2tn+PfaKTOZ/7h//0b/vPmeNOhWfEEIIWd1Yd+wY/wggIYNN+yCqzdJT9wkhhAwtsoX8fe88IxH1u+4x1b8CzxL1AoU9IYQQMoJ5adEyv4+PkMFGTqYWNlornMxMCCFk6BFRf9b5Z7qnlz3eqgkr9V/+8pf9K/BKUNgTQgghIxhZsZfDeQgZbOpeN0UIIWTwkW12p59+SnJQ3luOONSv1NeJeoHCnhBCCBnBcMWeDBXyDmjhueUv+JIQQsjQIaL+Ix+5MHmt3f4H7Oc+f/W1HUW9QGFPCCGEjGBkxX7zFdwDTQafZU8+4cuN197Ql4QQQgYfOSn/S9d81Yv6tXrDufbymlFZqb/hhhv95yZQ2BNCCCEjHHmvOyGDDVfsCSFkaFmw4Gl3/Ve+5j75mU+2Rb1w4vTT/Up9N1DYE0IIISOQZc8ubVmOK/ZkSOCKPSGEDC3/9pOfuqsuv9T1rLW8VePcrNlnuos/+3etT82hsCeEEEJGIGM2iSeVc8WeDCXPr4iTSIQQQgaPnffcxb/GTthgnfXdxz59obvkwvP9526hsCeEEEJGOFyxJ0MJX3dHCCFDw967TnMXX36J23jcJu6Cj3/UHT/rtFZL91DYE0IIISMcrtiToUD32HPFnhBChg4R97+95y533KyjWzX9g8KeEEIIGYFwjz0ZanSPPVfsCSFk+ENhTwghhIxAuMeeDDW6Yo/vVCaEEDI8obAnhBBCRiCjNx7ttt52spuy3a5uyuaTWrWEDC7yM6YHOxFCCBm+jFrZR8smhBBCyAhhyZIlbvHi8Dj++PGb+ZKQwUbesSzwZ4wQQoY3FPaEEEIIIYQQQsgIho/iE0IIIYQQQgghIxgKe0IIIYQQQgghZARDYU8IIYQQQgghhIxgKOwJIYQQQgghhJARDIU9IYQQQgghhBAygqGwJ4QQQgghhBBCRjAU9oQQQgghhBBCyAiGwp4QQgghhBBCCBnBUNgTQgghhBBCCCEjGAp7QgghhBBCCCFkBENhTwghhBBCCCGEjGAo7AkhhBBCCCGEkBHMqJV9tGxCCCFkRHD7v//a3f3Avd6eOHmim3nYkd7uxJIlS9y//uwnbt7D81o1zu258x5u/7fu1/rk3DXXfqFlOXfmGae2rJHP6npdhBBCCKGwJ4QQMgK54Jzz3He+9x1v7zf17e6fv3+Nt+tYsOBp928/+an76Ic+2KpxbsqOk9y///svW5+Cz357v9bbG6yzvvvdH3/v7ZGAXt/Oe+7i9t51Wqs2suOU7VqWc3966C8tixBCCCGrA3wUnxBCyIhm8Xrz/Ep8HdL+7atuTkT9rntMdZde/U+tT4Hx4zdrWSMHubbPf+02d+yx093lH/2423zFxq0WQgghhKwpUNgTQggZ0Ww4el23/vrrtz5VEeF72T9e6y77xqdbNUHUf/nLX66sbM9b+qIbP26i23rbyW7bvXZo1Q5vfv/wH92NX7jMPfSnuW7tDUa7DSds1GpJ2XjcJv665A8hhBBCVi8o7AkhhIw4xmyxZcty7tlnF7esKiLqv/u9H7gbPn+1W3tl+CdPRb21Oj9xvdHu1/f8xv38F//pbv3m91u1w5spm09qWc4tX/yie+ipua1PKb+95y5/XfKHEEIIIasXFPaEEEJGHMuefKJlObfJJhu0rBTZcy4r9fL4PYr6iy+/ZEQ+cl9ChPwLixZ5W1bsUegTQgghZM2Awp4QQshqyfdv+oG78bp4qJ48gn7rrbeYB8uNZETIbzh2rLfrVuwJIYQQsvrCU/EJIYSMOPBU/P0P2M/dcMON3hZkpf6mb33bXXX5pa2a+sfvc044YZYv19t4nPv81dd6W5F+n3wmPC0w+4Sz3E7TdvYn0X/humvdY4887OsFmUQ4+phZbp8371s7kSBjFSF+58/ucLf96IfukT/8yS1+ORwEKKfyyz7/Y4483u0/bR+33e5TfL3y3/f9zl196Wf8VgSMk/shbDRhW3fFJRe3zx/Q6xLwfiEynp/f+V/uJ7f92M355V1uwcL4WkC5prfsfZg79JS3DXhyRPr54+8ecN/7wc3up//5M/fcwmdbLaGfV03bzf3Nke/x97f0neF3ce4HLnSTtt7aT+Z847tf9OcNKIP1XUzbb5o7cN+D3TuOPrw4ppt/eIv7/je/6e0TT5rtxvSu46674Wp3+y9+7etkLKfOPsMdN+to/1nAe/6b237e7lPORDisb9xHHHmQW/vFUe66L13nljw8ym2/1zj3vjM/0B6D3ocXXnzJvW/2+91fv/kAX1/i4suudH+5/S/+0MlZJ7yn8asiCSGEDG8o7AkhhIw4RJzoavzUfV/jvvPNm70te+qv/8rXElEvQvesiz7YWIzqa+Gs193NePdMN+eO33r7sms+5372s1+7H98chJyFTChc8olPuD1fPbVVkyLv47/0Hy5z9907p1VjI4Lw0osvTd63f/c9c9y7ppdF2WZjtnI/+OX32wKw0+vuRGB++JKPJOLSQgTnBy64MBGn3bB4wXz3mS/d4L55049c7zMPtmqryP0/+LBD3N/9/YdMIX3EEUe275t8FyKMf3rrj/xnC/k5uehjHyn+HAzku1Dk7QTXfvw8t6hPZL9rxjvcHXf9NpnwEfKJKPlZvuVL1xfvuRzmeNAxM9s+0v/N3/52+55c9bmr3TWf+z/elrZOZyhM22n3dl9y3yjsCSFk9YCP4hNCCBlx4B57ORVf+cb130pE/VuOONSLqKai/s8Lnm9ZNi8vebllOXf1Z/5vW9SLgJ81+0w3Y/oML0gVEYnf+MpXW59SZMX9hFNmtYWkxEn8F67/qhdcJxx1hls+aoVvE3F41vln+hhl+eiVvl8Rc8jW2+7i63fZZ3JxZdniHQcd5oWxij7JIeOQP3Jtel2yui7nFogQlomUbpDJAxH1Mimjol7G//FPf8b3c+mnLvUCXJBxyFMZV3wqvs2ghHwXKupL34VMyPzoi//W+pTS6bsQe0XPKN9mfRfKhmst8uPuWWu5+/EPb2uLehHnMiEiyEq+ohNUes/lXug91/HLUxPoM3bjjd2KDTf0tnDuOWe1LOceeegxc1zK12+8qZ1HxkNRTwghqxGyYk8IIYSMJD7+gctX7jB5iv9z/BFnrPzT/EUr/+maz7fr5M/UHXdb+auf3N6KaA7G57zz6KOSPg4//B1mH6e+7/S2z467vKFVG5k//6mVB7zxQN++3cabev/fPPlEqzUFcx3xtkP9tSKYa69pe/rPFppD/uTgvZMc3/rB91otkSeXLFv5nvcc2/Z7y1veUOyrhNyr7bbfzsfL/f3nr1/XakmR/mUc2peML0fuvbbLH/l85//e02oNyPjw/lnfadPvIs8l9yK//q99/Zu+D/WRa8CfD7E1Rmz1lfIjl17h6xG5Hh2b/rHuO47LyqPgPavzI4QQMvLgij0hhJARxwu9T7Ys5/cK3/atK9yVl13RqgnIyuRXb/nn1qfuWbTuSy0rgiv2gpywbz2SfcoZp7kVC8NJ9SuXzfUr1YicAaCruW888mi/l3/fiVv4zzmfvPgTfhVaePjBh9283/2Pt5UX5j/fPhW/P8gK703/Eh4NlxVieczeWsmVVwHKlgZdeX54rvP75LtBVrrX6g07AD/yuU+742ed5u0c6f+6b1zfXnH/8heuq9zDHPku8icz5IkF+S4U+ZnI81z9pevb38VB73l38buQXPhdyL556/p1RVy44qrPJT8fYutTFD/+rx+0fWXLwSUXnu9tRK7nys//Q/ueC+utt6nbYIP1Wp8CB+z3ppbl3EP/e5d5r2TrBj6RcOH7z/A2IYSQ1QMKe0IIISOO9caNaVl9AvP+B/tE/Tf848+CikFBHs++5tovtD51xwaGVh43Kr5KTvZKlx7xl/ptpu7R+uT84WiKPO5/x2/CPmgZ6xFHH+LtEiIELzr7Qm+LEJR94MiGEzYa0Kn4Lz+2xC18YoG3x2053r3toLd422L3yTu5t7zpzf5x+b8+aA+3ztbxXndCHt3XQ/JEHHd6DFzu4RuOPMLbEieHFJZ4/YGH1H4XKIzxuxABLEJYkO/i3TOO8XYJ/C6E6264umVF9OdvvQ1Wug1229nbFv/5H7/ypfhPP3ymty1k/HLPlaVLn3GLFy9tfQrsvOcu7Wu8/86HzZ+B794WtyHssNeuTg9VJIQQsnpAYU8IIWTEsXThspYVRJ+KetlT/8Xv35gIOdlz/x8/+0XrUz240rk4aOWEhSujYNr3dXGV1EL2Qiubrh/HM9a95H4/5w/elvfOH7jPG7xdh6z06n57Oa0dERE3kPfY3/3ove2VYzmNXleULUQMXv65z/rDCmVluySmLW77f0HICscce1zLqme37bdvWX2C9ZFHWlaVffbds2XZbLXNNi2rzx49oWWFe/fHOWGvv0xq7PFXu3u7DlyB/69f/aZlRfRe7vRXr3V7bGT8EPUhP2f6lIB8Z5jTYto++7Yse8Vevofdtg05nl72uHv4wYe8rUh/d//ql61Pzh11ZP8OPiSEEDJ8obAnhBAy4hizxZYtKyKi/qrPXOlFDj7GLXz6U39fe6iYgqLWWrFfZ/11WpZzEydPbFmdeWZJfJ2b8PRzYQJBVtjlJHp5Fd1pZ53h/uZvTjdtKTdeOxyYJsLxgafv9raA77Ffe9l6Xa/YP/y7+1tWn0B+VRSQg42ujAv/8o2vt69PytJ1y2vnlHmPlU/Q7+a7ePzF+S0r3Dt9pZ88tXD++R9uj0nHoJ/R1p8t2Vbwl99HET1649HtQ/bkUMeVi1/wdg4+wr/VLp0nYrabsE3y85yv2AsHHxPfvHDDP36+ZQXkZ+LxRx/1tkx6ST5CCCGrFxT2hBBCRhx4Kr6gol4fLxZxf+q5Z3tbkPeaf+vzN7Q+NcNascc99rjy24l8lXjt1hE3ItJlu4Ds15byVz+/zbSl1JVgYfGjPS0r3WO/pOexrlfs5z0b847ZJF0JHkzkffuK7PXW65OydN26J1xYtqj8dt6BfBeK3F8ck45BP6ON38VTaz3Xspx78bkX22cIrLfxOLfBeHtcf5kfRLaw1YTuvq8SB73zxJbl3L33/bFlBeb8xz3tbRC7T31VxycECCGEjDwo7AkhhIxo5BVhF86+oC3qlaPfdZTfB6/Iq9O62W8/obcqyjbZZIOWla78WpR8N18RH9GXVVjZb97tH3nVnYJ77F8avYMX+t0wZmxYYR5q8H7Id2ZdV92fybvu0Iqu0um7QEq+/f0ucnRlXSYiSq9PlJV9ZelzC1tWPdZhjogcbiivyBNka8oF55znbeF7t32nZXXeQkIIIWRkQmFPCCFkRDN5ylZuu92ntD5F5LH6j3/w0653xdqtGue+cNU/+EPcSuAe+/k9VQGIq86dVolLvrjCK/urb731lo5/vnjTTb785je/4f/g3nZZddYV+3Vf/LMX+v1l4cJmInOgnPXBcyvXqNdn2f/y5f/PPDVe6e+KPSJ77LW/0h/9HuSPji8/Z0BX82XCZIfx9neB5yroeQt1yGTE2JfWbX0q867TTmhZzt1x1299KVtQ8MkHmfAihBCy+kFhTwghZMRh7bG3EMH/ycs+1V5FFdElp8qjgEc67bFH+rtKLI/K4+F+dRMNiqzGikCz9lbjHvtlvdt0vcce99XPue+ellVGDiKU1eCLL7uy8aGEwpTd9mpZzt35EzsOn7oQe/GC+f66l7get2RJfPw9ZzC+C5kc6XQOg3wPgn4X1phwxV7Gb7Fiww3bfnLOQunnUZk3f157wmDRc3FiKEcmGfQpAjkzQH62br3lJ/6zIG11hyMSQggZuVDYE0IIGXHke+zrOG7W0e51hxzY+uTcvf9zj393uQUKNWuPPTKQVWLZ5yzIvmfcb11C3kH+/mNPcyeffLKbPfuUVm0A99iPHbO46z32u+4SX8n2+EOPdRSZt91yi9/WcON113i7KXtsE8f10//8Wcuq5zNfusFddNb7/HX/8Lvfb9VWGch3oSfmy3fxwN3xIMESdd+FgCv2pT32G77wnJu2X1jpf37F0uQVfBZ3/Cy8HlGQty3UifO9dw5PA8g47n7gXvfDf7nRfxbwVX2EEEJWLyjsCSGEjDg27NmiZfUJ2xfr9x4Ln7z4E35ftyAH14kovfmHVVGKK8YD3WOPJ+ijr4gy3Of8heuu7Simr/o/l/nT2/GRagX32L/49PNdr9jvNG1nN2XHILolf53IlHHe9+f4ur19DjqgZXXmXccd40aNCf2IiMY94CVElMrBh//zu/91L40q/8rS3xV7+S4OOfSw1if5Lr48oO9C0JV42TtfWrEXwX/wIdO9LYft3XjDPxf7lYkEObRPkRX7ujG+4fB922P47nf+2T8RIMiTCTw0jxBCVl8o7AkhhIw4Xuh9smWF14p1QgSc7OtWwSNc+vcfrzx6jSv2A91jX3eC/j5v3rc90SDvMz/vvLPMR/LlVWoigFXYyfjl3IAcXbHvGbNu5R3mnZB7s/9bj2x9CvdFxpKLR7lX8mo+FbTyWPee+/y1t5ty6WfPdysWhrHefOt3/eP8eT/yHUj/Bx7wpvZJ7n81bTf/5EWJgazYy3ehj+M/9sj9/hqt70KuP/8uPvvZq72N6Ip93an4ws577tJ+bH7OHb9t9ztvaRDi0t+XrvmqO/Fdx/rPSqcV+9ft+1p/dsPyUSv8pIiO5y1verMvCSGErJ5Q2BNCCBlxrDduTMtqtmIvzDzsSHfk357U+hRWjf/psusSYYkr9p3eY9/fFXtB9kJfevGl7YkGEYsnXRDeoS4n98sfEZEnnn6iF8CKjD8/KFBEnq7Yi4gTYX7EEUe6Ge+eWTyVPUcOptM3CMh9Of30U/yj5jIOEZcylvNPO9u/8k059wPnFQ+HKyHfwfEXXuQPNPQr1ddd42YedZTPr9d9+unnudPOPtZPeAgiui++/BJvl+jvir0g38XVV17jxvSGQxblGv/mfRdUvgu5/m99J24HOPHM2abA1u+07lR8QfqV69pszFb+s/R71vlnuqMPPth/f9LfJ6682H+nOCHVacVefoYPO2ZW+5WKgoj8afvEsxQIIYSsflDYE0IIGXEsXbisZTVbsVdEwOIryuSd5P/2k5+2PnXeY9/Ne+w7+cpj0V/8/o3t1eLeZx70Av+qyy/1f2Qfu4hbEcAi7GbNPrN4Mvz0GfGkcxHmsqouq8BbuOpheyVuuOFG95YjDvW2iEnJIeO49IqPtcciyHi/9b1b3F+/uflj+Ihcw7tmvKP9tgLJK/n1uuU7Wbo4vIJPnmq47hvXV06ezxnIir0g38X1/3Zz+7tYuWyu+V3Ia+TkuzjznA+4c885y/vm6Ap53an4ilzXP3332vbTG/LdST9y76Vc+7mXfNupHzq7Le47rdgLZ8EEljB5m+38EwKEEEJWX3o+1kfLJoQQQkYEDz610rnlz7htJm/jT1t/8xv2b7V0ZtfddnePP7GwL3a8j//zn/7g3vCGN7kNNljfrbPOOu7/3XWnr3/Vrru7I94e918Lf3jkMbfR+mv79tdO29dts304eM2iie/W47dwM46a6Zb2rON9V6zscS8/s9it3HyKGzvaue132tkdsP/r3fkfuNCdcMK7W1FV9nvdvu6pZcvdM/MXueXLn3Ib92zt1t1wbbfv29/i+xD0uuTPO99pv/JMHteevNvObmXPKLdyxTL39ItL3PieLXwuGcvbZsx05/39B9xr9qgX2p046JCD3T577O1GrdX3Pfbd81Ev9Ynpnhdcb882buutNnHbvWpH954D/8Z97KqPu50mb9eKSsH7u9/b39y+TosmvlL35nft41autXn7u1ix5GW3/tgN3Zgx6yXfxdGz7Pv3wrxFbtHKJW7LLca71+z5Orf7lG3cuhvEcxkspN/DDz/CbbvdDm7Tjca6TSaM8+Pce8993NtOOc7936s+59YZtY674ZZvuLVeXuHGT5zoDjrobf7ntYS0/eSnP3NPzZ/nP0999X7uzPf+rbcJIYSsnoxa2UfLJoQQQkYEsrL+xOJet+UGPf4zPkLfBDnUTPY/y6PSkgPjtU6w8kp700fQrfwlZEzyWjc5/G7ztVa4lzd3rmfFjl097i6PaPv4FRv7Q/VwZVfHIvetSU7JJSfuy3v39aT9TivF/UH6eXDFy27CwvCmgw033da/Dk5fLVdCn65ocj3481L3XYiftEspr7PTgwi7uX65nkVu3a6+N8T6+ZKDHi98z2x57YF/quLzV1/baikzbafd208P3PDFG3lwHiGErOZQ2BNCCCGErEJk4uDQQ97uDz187Rtf5y6cfUHl7AREzjn45Gc+6bcCzJg+w/3d33+odpLh6zfe5D76oQ96W7YX/Paeu7xNCCFk9YV77AkhhBBCViHyNIDslZc99XJo3u2/u7PVUkWeALjhm9d7Ub+iZ5Tb4bUH1Yp68f+Xb3y99cm5iz710ZZFCCFkdYbCnhBCCCFkFSLCfNcddmx9cu7yj4ZXDObIK+/krQF6cOHEjSa44w/ey9uI+MlTACLqr/jUp9uvJJSD9w7c5w3eJoQQsnrDR/EJIYQQQlYxIsbllXYq2gV5bH73qa/y9sMPPZ60iUi/+dvfNlfr5Z3/6CvIK+4+9akr3HGzjm7VEEIIWZ3hij0hhBBCyCpGXnV35ef/wR+Gp6+yk0fz5TV78qct1BctcwfPfLf3LT2C/6ppu7WsyAmnneXedtBbWp8IIYSs7nDFnhBCCCHkFUQeo7/+K19zd95xt3vmmcfdoude7BPr27sD9ntToxV3eYz/uhuu9qv8++71Gveu007o+O5/QgghqxcU9oQQQgghhBBCyAiGj+ITQgghhBBCCCEjGAp7QgghhBBCCCFkBENhTwghhBBCCCGEjGAo7AkhhBBCCCGEkBGLc/8/XJe9vbHi1LoAAAAASUVORK5CYII=" width="635" height="419"></p>
<p><span style="background-color: #ffffff;">catalysed and uncatalysed E<sub>a</sub> marked on graph <em><strong>AND</strong> </em>with the catalysed being at lower energy <strong>[✔]</strong><br></span></p>
<p> </p>
<p><span style="background-color: #ffffff;">«for catalysed reaction» greater proportion of/more molecules have E ≥ E<sub>a</sub> / E > E<sub>a</sub><br><em><strong>OR</strong></em><br>«for catalysed reaction» greater area under curve to the right of the E<sub>a</sub> <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “more molecules have the activation energy”.</span></em></p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<span style="background-color: #ffffff;">S<sup>θ</sup> = 2(S<sup>θ</sup>(N<sub>2</sub>)) + S<sup>θ</sup>(O<sub>2</sub>) – 2(S<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span>(N<sub>2</sub>O))<br></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span>Δ<span style="background-color: #ffffff;">S<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = 2 × 193 «J mol<sup>-1</sup> K<sup>-1</sup>» + 205 «J mol<sup>-1</sup> K<sup>-1</sup>» – 2 × 220 «J mol<sup>-1</sup> K<sup>-1</sup>» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«ΔS<span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> = +»151 «J K<sup>-1</sup>» <strong>[✔]</strong></span></p>
<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">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">exothermic decomposition<br><em><strong>OR</strong></em><br>Δ<em>H</em><sub>(decomposition)</sub> < 0 <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>TΔS</em><sup>θ</sup> > Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ<br></span></sup></span></span><span style="background-color: #ffffff;"><em><strong>OR<br></strong></em></span><span style="background-color: #ffffff;">Δ<em>G</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> «= Δ<em>H</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span> – <em>TΔS</em><span style="font-size: 14px;"><sup><span style="text-align: left;color: #000000;text-indent: 0px;letter-spacing: normal;font-family: Verdana,Arial,Helvetica,sans-serif;font-style: normal;font-variant: normal;font-weight: 400;text-decoration: none;display: inline !important;white-space: normal;float: none;background-color: #ffffff;">θ</span></sup></span>» < 0 «at all temperatures» <strong>[</strong><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<p><span style="background-color: #ffffff;">reaction spontaneous at all temperatures <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[</strong><span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">✔]</span></span></p>
<div class="question_part_label">g(ii).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Students were able in general to relate more moles of gas to increase in pressure.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Few students were able to relate the effect of reduced pressure at constant volume with a decrease in concentration of gas molecules and mostly did not even refer to this, but rather concentrated on lower rate of reaction and frequency of collisions. Many candidates lost a mark by failing to explain rate as collisions per unit time, frequency, <em>etc</em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Though the differential equation was considered to be misleading by teachers, most candidates attempted to answer this question, and more than half did so correctly, considering they had the graph to visualize the gradient.</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most students were able to identity step 1 as the RDS/slow but few mentioned unimolecularity or referred vaguely to NO<sub>2</sub> as the only reagent (which was obvious) and got only 1 mark.</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students drew a lower initial gradient, but most did not reflect the effect of lower temperature on pressure at constant volume and started and finished the curve at the same pressure as the original one.</p>
<p> </p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates identified the inaccurate pressure gauge as a systematic error, thus relating accuracy to this type of error.</p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The graph was generally well done, but in quite a few cases, candidates did not mention that increase of rate in the catalyzed reaction was due to <em>E</em> (particles) > <em>E</em><sub>a</sub> or did so too vaguely.</p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Candidates were able to calculate the ΔS of the reaction, though in some cases they failed to multiply by the number of moles.</p>
<div class="question_part_label">g(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Though the question asked for decomposition (in bold), most candidates ignored this and worked on the basis of a the Δ<em>H</em> of formation. However, many did write a sound explanation for that situation. On the other hand, in quite a number of cases, they did not state the sign of the Δ<em>H</em> (probably taking it for granted) nor explicitly relate Δ<em>G</em> and spontaneity, which left the examiner with no possibility of evaluating their reasoning.</p>
<div class="question_part_label">g(ii).</div>
</div>
<br><hr><br><div class="specification">
<p>Hydrogen and iodine react to form hydrogen iodide.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub> (g) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2H<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math> (g)</p>
</div>
<div class="specification">
<p>The following experimental data was obtained.</p>
<p><img src="data:image/png;base64,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"></p>
</div>
<div class="specification">
<p>Consider the reaction of hydrogen with solid iodine.</p>
<p style="text-align: center;">H<sub>2</sub> (g) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub> (s) <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mo>⇌</mo></math> 2H<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math> (g) Δ<em>H</em><sup>⦵</sup> = +53.0 kJ mol<sup>−1</sup></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the order of reaction with respect to hydrogen.</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 the rate expression for the reaction.</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>Calculate the value of the rate constant stating its units.</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> conditions necessary for a successful collision between reactants.</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>State the equilibrium constant expression, <em>K</em><sub>c</sub>, for this reaction.</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>Calculate the entropy change of reaction, Δ<em>S</em><sup>⦵</sup>, in J K<sup>−1</sup> mol<sup>−1</sup>.</p>
<p style="text-align:center;"><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict, giving a reason, how the value of the ΔS<sup>⦵</sup><sub>reaction</sub> would be affected if <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>I</mtext><mn>2</mn></msub></math> (g) were used as a reactant.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the Gibbs free energy change, Δ<em>G</em><sup>⦵</sup>, in kJ mol<sup>−1</sup>, for the reaction at 298 K. Use section 1 of the data booklet.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the equilibrium constant, <em>K</em><sub>c</sub>, for this reaction at 298 K. Use your answer to (d)(iii) and sections 1 and 2 of the data booklet.</p>
<p>(If you did not obtain an answer to (d)(iii) use a value of 2.0 kJ mol<sup>−1</sup>, although this is not the correct answer).</p>
<div class="marks">[2]</div>
<div class="question_part_label">d(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>first order ✔</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Rate=<em>k</em> [H<sub>2</sub>] [<math xmlns="http://www.w3.org/1998/Math/MathML"><mtext>I</mtext></math><sub>2</sub>]</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mi>k</mi><mo>=</mo><mo>«</mo><mfrac><mrow><mn>1</mn><mo>.</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>6</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi mathvariant="normal">s</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup></mrow><mrow><mn>2</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>×</mo><mn>3</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup></mrow></mfrac><mo>=</mo><mo>»</mo><mn>0</mn><mo>.</mo><mn>20</mn></math> ✔</p>
<p>mol<sup>–1</sup> dm<sup>3</sup> s<sup>–1</sup> ✔</p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>E</em> ≥ <em>E</em><sub>a</sub> <em><strong>AND</strong> </em>appropriate «collision» geometry/correct orientation ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><msub><mi>K</mi><mi mathvariant="normal">c</mi></msub><mo>=</mo><mfrac><msup><mfenced open="[" close="]"><mi>HI</mi></mfenced><mn>2</mn></msup><mrow><mfenced open="[" close="]"><msub><mi mathvariant="normal">H</mi><mn>2</mn></msub></mfenced><mfenced open="[" close="]"><msub><mi mathvariant="normal">I</mi><mn>2</mn></msub></mfenced></mrow></mfrac></math> ✔</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> = 2 × 206.6 – (130.6 + 116.1) =» 166.5 «J K<sup>–1</sup> mol<sup>–1</sup>» ✔</p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>same number of moles of gas</p>
<p><em><strong>OR</strong></em></p>
<p>Δ<math xmlns="http://www.w3.org/1998/Math/MathML"><msub><msup><mi>S</mi><mo>⦵</mo></msup><mtext>reaction</mtext></msub></math> lower/less positive <em><strong>AND</strong> </em>a solid has less entropy than a gas ✔</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«Δ<em>G</em><sup>⦵</sup> = 53.0 kJ mol<sup>–1</sup> – (298K × 0.1665 kJ K<sup>–1</sup> mol<sup>–1</sup>) =» 3.4 «kJ mol<sup>–1</sup>» ✔</p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«ln <em>K</em><sub>c</sub>= – (3.4 × 10<sup>3</sup> J mol<sup>–1</sup> /8.31 J K<sup>–1</sup> mol<sup>–1</sup> × 298 K)» = –1.37 ✔</p>
<p>«<em>K</em><sub>c</sub> =» 0.25 ✔</p>
<p><em>Award <strong>[2]</strong> for “0.45” for the use of 2.0 kJ mol<sup>–1</sup> for ΔG</em><sup>⦵</sup><em>.</em></p>
<div class="question_part_label">d(iv).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>4(a)(i)-(iii): Deduction of rate orders and rate expression were very well done overall, with occasional errors in the units of the rate constant, but clearly among the best answered questions.</p>
<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">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Generally well answered by all but very weak candidates. Some teachers thought this should be a 2-mark question but actually the marks were generally missed when students mentioned both required conditions but failed to refer the necessary energy to <em>E<sub>a</sub></em>.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>One of the best answered questions.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>ΔS was well calculated in general except for some inverted calculations or failure to consider the ratios of the reactants.<br><br></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Some candidates confused the entropy change in this situation with absolute entropy of a solid and gas, or having realised that entropy would decrease lacked clarity in their explanations and lost the mark.</p>
<p>4(d)(ii)-(d)(iv): marks were lost due to inconsistency of units throughout, i.e., not because answers were given in different units to those required, but because candidates failed to convert all data to the same unit for calculations.</p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>The following mechanism is proposed for a reaction:</p>
<p style="text-align: left; padding-left: 210px;">A + B → C + D slow step<br>D + B → A + E fast step</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Classify substances B and D as reactant, product, catalyst, or intermediate, based on the proposed mechanism.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAxEAAADFCAYAAAArIH/CAAAQ4ElEQVR4Ae3dQYhdZxUH8HOTkLpII3SVGUWChMSlixA3WUSKGexKLEQQazBdBFFRsnBoNyLEFkFc10WehRChRaUgKG3pEN0ZWtfJEEqFtukiFExmEQN5V14yz0yYeZJvTA4z5/4Kjzvv8t057/zONy/v3zcv6fq+78N/BAgQIECAAAECBAgQeEiBHQ+5zjICBAgQIECAAAECBAjcFRAibAQCBAgQIECAAAECBJoEdk1Xd103/dKRAAECBAgQIECAAAECGwpMPg3x3xAxuTMJEj4isaGVkwQIECBAgAABAgQGLbA2K/h1pkFvBc0TIECAAAECBAgQaBcQItrNXEGAAAECBAgQIEBg0AJCxKDHr3kCBAgQIECAAAEC7QJCRLuZKwgQIECAAAECBAgMWkCIGPT4NU+AAAECBAgQIECgXUCIaDdzBQECBAgQIECAAIFBCwgRgx6/5gkQIECAAAECBAi0CwgR7WauIECAAAECBAgQIDBoASFi0OPXPAECBAgQIECAAIF2ASGi3cwVBAgQIECAAAECBAYtIEQMevyaJ0CAAAECBAgQINAuIES0m7mCAAECBAgQIECAwKAFhIhBj1/zBAgQIECAAAECBNoFhIh2M1cQIECAAAECBAgQGLSAEDHo8WueAAECBAgQIECAQLuAENFu5goCBAgQIECAAAECgxYQIgY9fs0TIECAAAECBAgQaBcQItrNXEGAAAECBAgQIEBg0AJCxKDHr3kCBAgQIECAAAEC7QLbO0SML8doYT66rlt/++pijJaWY6XdxBUECBAgQIAAAQIECPwPge0dIqaNHT8XV+700ffT27/j419+If76nWfjx3/8Z4yn6xwJECBAgAABAgQIEPi/BWqEiHUMu2PuyLfi5HNPxOg378RVKWKdkBMECBAgQIAAAQIENitQNETc55j78v7Yt9rleHkUC918LIwue3fiPpGvCBAgQIAAAQIECDQJ7GpavW0W345rl16LC9e/F2+cPRp7Vx/3joOn4s3+1LbpwgMlQIAAAQIECBAgsBUFarwT8dbzcWjn2g9XPxHzX/lhjN7/KD68eWsruntMBAgQIECAAAECBLatQI0Qse6D1Xfi5pU/xE/j1Xj29Ll4b8WHIrbtDvXACRAgQIAAAQIEtpxAjRCxjnVH7Dn4TDz/3NGIixfi9UufrlvhBAECBAgQIECAAAECmxMoGiImGLtj3/4DMbc5F1cRIECAAAECBAgQIDBDoHCIuB2ffHA1rs0dj4XDT81o32kCBAgQIECAAAECBFoFioaIcaws/znOnf9HHDvzjTiyt2ibrdO2ngABAgQIECBAgMAjEKjx6nrd3860M548/fc49JPX4ndnjsSeVSj/TsQj2DG+BQECBAgQIECAwOAFur7v+6lC13Wx5u70tCMBAgQIECBAgAABAgMXWJsVarwTMfCBap8AAQIECBAgQIBApoAQkamtFgECBAgQIECAAIECAkJEgSFqgQABAgQIECBAgECmgBCRqa0WAQIECBAgQIAAgQICQkSBIWqBAAECBAgQIECAQKaAEJGprRYBAgQIECBAgACBAgJCRIEhaoEAAQIECBAgQIBApoAQkamtFgECBAgQIECAAIECAkJEgSFqgQABAgQIECBAgECmgBCRqa0WAQIECBAgQIAAgQICQkSBIWqBAAECBAgQIECAQKaAEJGprRYBAgQIECBAgACBAgJCRIEhaoEAAQIECBAgQIBApoAQkamtFgECBAgQIECAAIECAkJEgSFqgQABAgQIECBAgECmgBCRqa0WAQIECBAgQIAAgQICQkSBIWqBAAECBAgQIECAQKaAEJGprRYBAgQIECBAgACBAgJCRIEhaoEAAQIECBAgQIBApoAQkamtFgECBAgQIECAAIECAkJEgSFqgQABAgQIECBAgECmgBCRqa0WAQIECBAgQIAAgQICQkSBIWqBAAECBAgQIECAQKaAEJGprRYBAgQIECBAgACBAgJCRIEhaoEAAQIECBAgQIBApoAQkamtFgECBAgQIECAAIECAkJEgSFqgQABAgQIECBAgECmgBCRqa0WAQIECBAgQIAAgQICQkSBIWqBAAECBAgQIECAQKZAqRAxXh7FQtfF/OJS3JilOL4co4X56OZfjKUb4xmrbsXy6ER03eFYXLo+Y01E9XrBKiLshckPQPW9rr/JkLfic6O9d/cPoC05G8+NnhtXXx7Zn/d+TB/Za9BV121w6Pq+76ePs+u6WHN3etqRAAECBAgQIECAAIGBC6zNCqXeiRj4XLVPgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVAiEhhVoQAAQIECBAgQIBAHQEhos4sdUKAAAECBAgQIEAgRUCISGFWhAABAgQIECBAgEAdASGizix1QoAAAQIECBAgQCBFQIhIYVaEAAECBAgQIECAQB0BIaLOLHVCgAABAgQIECBAIEVgm4eI67G0eDi6rlt/mz8Zv/r9xVheGadAKkKAAAECBAgQIEBgKALbPESsjmnuhXjnX3ei7/vV2524efHbEX/6URz7wfm4LEgMZT/rkwABAgQIECBAIEGgRohYB7Uj9hxciDMv/Ty+/vYL8f1X3o2VdWucIECAAAECBAgQIEBgMwJFQ8Q9ih2feyYWzx6Ni79+Iy7dmPxa061YHp2IrjsRo+Vbm/FyDQECBAgQIECAAIHBC+yqLbA79u0/EHPXrsYHn9yO2PuZOHjq9ehP1e5adwQIECBAgAABAgQep0DpdyLuw70fVz70C033PXxFgAABAgQIECBAYPMCAwkRmwdyJQECBAgQIECAAAECDwoMJER8MQ59fs+DnbtHgAABAgQIECBAgMCmBIqHiE/j3TffimtzB2L/vt2bAnIRAQIECBAgQIAAAQIPCpQOEeOP/hYXzn8cx89+N47tLd3qg1N1jwABAgQIECBAgMBjFCj6tzONY2X57XjlFz+Lv3zt5Vg6cTBEiMe4i3xrAgQIECBAgACBQQnUeG197eV4+rM7o+u61dvOePL0Ujz1zVfjvd+ejC/tmbbp34kY1O7WLAECBAgQIECAwGMR6Pq+76ffefIifM3d6WlHAgQIECBAgAABAgQGLrA2K0z/F/3ASbRPgAABAgQIECBAgMDDCggRDytlHQECBAgQIECAAAECdwWECBuBAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmASGiictiAgQIECBAgAABAgSECHuAAAECBAgQIECAAIEmgVIhYrw8ioWui/nFpbgxi2F8OUYL89HNvxhLN8YzVt2K5dGJ6LrDsbh0fcaaiOr1glVE2AuTH4Dqe11/kyFvxedGe+/uH0BbcjaeGz03rr48sj/v/Zg+stegq67b4ND1fd9PH2fXdbHm7vS0IwECBAgQIECAAAECAxdYmxVKvRMx8LlqnwABAgQIECBAgECKgBCRwqwIAQIECBAgQIAAgToCQkSdWeqEAAECBAgQIECAQIqAEJHCrAgBAgQIECBAgACBOgJCRJ1Z6oQAAQIECBAgQIBAioAQkcKsCAECBAgQIECAAIE6AkJEnVnqhAABAgQIECBAgECKgBCRwqwIAQIECBAgQIAAgToCQkSdWeqEAAECBAgQIECAQIqAEJHCrAgBAgQIECBAgACBOgJCRJ1Z6oQAAQIECBAgQIBAioAQkcKsCAECBAgQIECAAIE6AkJEnVnqhAABAgQIECBAgECKgBCRwqwIAQIECBAgQIAAgToCQkSdWeqEAAECBAgQIECAQIqAEJHCrAgBAgQIECBAgACBOgJCRJ1Z6oQAAQIECBAgQIBAioAQkcKsCAECBAgQIECAAIE6AkJEnVnqhAABAgQIECBAgECKgBCRwqwIAQIECBAgQIAAgToCQkSdWeqEAAECBAgQIECAQIqAEJHCrAgBAgQIECBAgACBOgJCRJ1Z6oQAAQIECBAgQIBAioAQkcKsCAECBAgQIECAAIE6AkJEnVnqhAABAgQIECBAgECKgBCRwqwIAQIECBAgQIAAgToCQkSdWeqEAAECBAgQIECAQIqAEJHCrAgBAgQIECBAgACBOgJCRJ1Z6oQAAQIECBAgQIBAioAQkcKsCAECBAgQIECAAIE6Al3f9/2kna7r6nSlEwIECBAgQIAAAQIEHovAJD7smn7n1SwxvetIgAABAgQIECBAgACBDQX8OtOGLE4SIECAAAECBAgQIDBLQIiYJeM8AQIECBAgQIAAAQIbCggRG7I4SYAAAQIECBAgQIDALAEhYpaM8wQIECBAgAABAgQIbCjwH9evI2j3d3PuAAAAAElFTkSuQmCC"></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>Deduce the rate expression.</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 initial rate of reaction for experiment 2, if measured under the same conditions.</p>
<p><img src="data:image/png;base64,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"></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><em>B:</em> reactant ✔</p>
<p><em>D:</em> intermediate ✔</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>rate = <em>k</em>[A][B] ✔</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>1.80 «mol dm<sup>–3</sup> s<sup>–1</sup>» ✔</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;">This question is about the decomposition of hydrogen peroxide.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Hydrogen peroxide decomposes to water and oxygen when a catalyst such as potassium iodide, KI, is added.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><br>2H<sub>2</sub>O<sub>2</sub> (aq) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\xrightarrow{{{\text{KI (aq)}}}}">
<mover>
<mo>→</mo>
<mpadded width="+0.611em" lspace="0.278em" voffset=".15em">
<mrow>
<mrow>
<mtext>KI (aq)</mtext>
</mrow>
</mrow>
</mpadded>
</mover>
</math></span> O<sub>2</sub> (g) + 2H<sub>2</sub>O (l)</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Suggest why many chemicals, including hydrogen peroxide, are kept in brown bottles instead of clear colourless bottles.</span></p>
<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;">In a laboratory experiment solutions of potassium iodide and hydrogen peroxide were mixed and the volume of oxygen generated was recorded. The volume was adjusted to 0 at t = 0.</span></p>
<p><span style="background-color: #ffffff;"><img src="images/4bi_1.PNG" alt width="427" height="250"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">The data for the first trial is given below.</span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><img src="images/4bi_2.PNG" alt width="398" height="220"></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Plot a graph on the axes below and from it determine the average rate of<br>formation of oxygen gas in cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><img src="images/4bi_3.PNG" alt width="388" height="614"></span></span></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Average rate of reaction:</span></span></span></span></p>
<div class="marks">[3]</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;">Two more trials (2 and 3) were carried out. The results are given below.</span></p>
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,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"></span></p>
<p><span style="background-color: #ffffff;"><span style="background-color: #ffffff;">Determine the rate equation for the reaction and its overall order, using your answer from (b)(i).</span></span></p>
<p>Rate equation: </p>
<p>Overall order: </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><span style="background-color: #ffffff;">Additional experiments were carried out at an elevated temperature. On the axes below, sketch Maxwell–Boltzmann energy distribution curves at two temperatures T<sub>1</sub> and T<sub>2</sub>, where T<sub>2</sub> > T<sub>1</sub>.</span></p>
<p><img src="images/4biii.PNG" alt width="583" height="382"></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Apart from a greater frequency of collisions, explain, by annotating your graphs in (b)(iii), why an increased temperature causes the rate of reaction to increase.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">MnO<sub>2</sub> is another possible catalyst for the reaction. State the IUPAC name for MnO<sub>2</sub>.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Comment on why peracetic acid, CH3COOOH, is always sold in solution with ethanoic acid and hydrogen peroxide.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">H<sub>2</sub>O<sub>2</sub> (aq) + CH<sub>3</sub>COOH (aq) ⇌ CH<sub>3</sub>COOOH (aq) + H<sub>2</sub>O (l)</span></p>
<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;">Sodium percarbonate, 2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>, is an adduct of sodium carbonate and hydrogen peroxide and is used as a cleaning agent.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;">M<sub>r</sub> (2Na<sub>2</sub>CO<sub>3</sub>•3H<sub>2</sub>O<sub>2</sub>) = 314.04</span></p>
<p><span style="background-color: #ffffff;">Calculate the percentage by mass of hydrogen peroxide in sodium percarbonate, giving your answer to two decimal places.</span></p>
<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;">decomposes in light <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “sensitive to light”.</span></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="images/4bi_m.PNG" alt width="407" height="659"></p>
<p><span style="background-color: #ffffff;">points correctly plotted <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">best fit line <em><strong>AND</strong> </em>extended through (to) the origin <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p><span style="background-color: #ffffff;"><em>Average rate of reaction:</em><br>«slope (gradient) of line =» 0.022 «cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note</strong>: Accept range 0.020–0.024cm<sup>3</sup> O<sub>2</sub> (g) s<sup>−1</sup>.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Rate equation</em>:<br>Rate = <em>k</em>[H<sub>2</sub>O<sub>2</sub>] × [KI] <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span><br></span></p>
<p><span style="background-color: #ffffff;"><em>Overall order</em>:<br>2 <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Rate constant must be included.</span></em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><img src="images/4biii_m.PNG" alt width="507" height="333"></span></p>
<p><span style="background-color: #ffffff;">peak of T<sub>2</sub> to right of <em><strong>AND</strong></em> lower than T<sub>1</sub> <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">lines begin at origin <em><strong>AND</strong></em> T<sub>2</sub> must finish above T<sub>1</sub> <strong>[✔]</strong></span></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">E<sub>a</sub> marked on graph <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">explanation in terms of more “particles” with E ≥ E<sub>a</sub></span></p>
<p><em><strong><span style="background-color: #ffffff;">OR</span></strong></em></p>
<p><span style="background-color: #ffffff;">greater area under curve to the right of E<sub>a</sub> in T<sub>2</sub> <strong style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</strong></span></p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">manganese(IV) oxide</span></p>
<p><span style="background-color: #ffffff;"><em><strong>OR</strong></em></span></p>
<p><span style="background-color: #ffffff;">manganese dioxide <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “manganese(IV) dioxide”.</span></em></p>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">moves «position of» equilibrium to right/products <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note: </strong>Accept “reactants are always present as the reaction is in equilibrium”.</span></em></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">M( H<sub>2</sub>O<sub>2</sub>) «= 2 × 1.01 + 2 × 16.00» = 34.02 «g» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">«% H<sub>2</sub>O<sub>2</sub> = 3 × <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{34.02}}{{314.04}}">
<mfrac>
<mrow>
<mn>34.02</mn>
</mrow>
<mrow>
<mn>314.04</mn>
</mrow>
</mfrac>
</math></span> × 100 =» 32.50 «%» <span style="display: inline !important;float: none;background-color: #ffffff;color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: bold;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;">[✔]</span></span></p>
<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">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>There were a couple of comments claiming that this NOS question on “why to store hydrogen peroxide in brown bottles” is not the syllabus. Most candidates were quite capable of reasoning this out.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates could plot a best fit line and find the slope to calculate an average rate of reaction.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Good performance but with answers that either typically included only [H<sub>2</sub>O<sub>2</sub>] with first or second order equation or even suggesting zero order rate equation.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Fair performance; errors including not starting the two curves at the origin, drawing peak for T2 above T1, T2 finishing below T1 or curves crossing the x-axis.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The majority of candidates earned at least one mark, many both marks. Errors included not annotating the graph with <em>E</em><sub>a</sub> and referring to increase of kinetic energy as reason for higher rate at T2.</p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A well answered question. Very few candidates had problem with nomenclature.</p>
<div class="question_part_label">b(v).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>One teacher suggested that “stored” would have been better than “sold” for this question. There were a lot of irrelevant answers with many believing the back reaction was an acid dissociation.</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>It is recommended that candidates use the relative atomic masses given in the periodic table.</p>
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Propene is an important starting material for many products. The following shows some compounds which can be made from propene, C<sub>3</sub>H<sub>6</sub>.</span></p>
<p style="text-align: center;"><span style="background-color: #ffffff;"><br>Propene (C<sub>3</sub>H<sub>6</sub>) → C<sub>3</sub>H<sub>7</sub>Cl → C<sub>3</sub>H<sub>8</sub>O → C<sub>3</sub>H<sub>6</sub>O</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">Consider the conversion of propene to C<sub>3</sub>H<sub>7</sub>Cl.</span></p>
</div>
<div class="specification">
<p><span style="background-color: #ffffff;">An experiment was carried out to determine the order of reaction between one of the isomers of C<sub>3</sub>H<sub>7</sub>Cl and aqueous sodium hydroxide. The following results were obtained.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right: auto; margin-left: auto; display: block;" src="data:image/png;base64,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" width="367" height="138"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the type of reaction.</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;">State the IUPAC name of the major product.</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;">Outline why it is the major product.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Write an equation for the reaction of the major product with aqueous sodium hydroxide to produce a C<sub>3</sub>H<sub>8</sub>O compound, showing structural formulas.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Determine the rate expression from the results, explaining your method.</span></p>
<div class="marks">[3]</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;">Deduce the type of mechanism for the reaction of this isomer of C<sub>3</sub>H<sub>7</sub>Cl with aqueous sodium hydroxide.</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;">Sketch the mechanism using curly arrows to represent the movement of electrons.</span></p>
<div class="marks">[4]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Write an equation for the complete combustion of the compound C<sub>3</sub>H<sub>8</sub>O formed in (a)(iv).</span></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><span style="background-color: #ffffff;">Determine the enthalpy of combustion of this compound, in kJ mol<sup>−1</sup>, using data from section 11 of the data booklet.</span></p>
<div class="marks">[3]</div>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the reagents for the conversion of the compound C<sub>3</sub>H<sub>8</sub>O formed in (a)(iv) into C<sub>3</sub>H<sub>6</sub>O.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why the compound C<sub>3</sub>H<sub>8</sub>O, produced in (a)(iv), has a higher boiling point than compound C<sub>3</sub>H<sub>6</sub>O, produced in d(i).</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why the <sup>1</sup>H NMR spectrum of C<sub>3</sub>H<sub>6</sub>O, produced in (d)(i), shows only one signal.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Propene is often polymerized. Draw a section of the resulting polymer, showing two repeating units.</span></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><span style="background-color: #ffffff;">«electrophilic» addition ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Do <strong>not</strong> accept “nucleophilic addition” or “free radical addition”.<br>Do <strong>not</strong> accept “halogenation”.</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;">2-chloropropane ✔</span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">secondary carbocation/carbonium «ion» is more stable<br><em><strong>OR</strong></em><br>carbocation/carbonium «ion» stabilized by two/more alkyl groups ✔</span></p>
<div class="question_part_label">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">CH<sub>3</sub>CHClCH<sub>3</sub> (l) + OH<sup>−</sup> (aq) → CH<sub>3</sub>CH(OH)CH<sub>3</sub> (aq) + Cl<sup>−</sup> (aq)<br><em><strong>OR</strong></em><br>CH<sub>3</sub>CHClCH<sub>3</sub> (l) + NaOH (aq) → CH<sub>3</sub>CH(OH)CH<sub>3</sub> (aq) + NaCl (aq) ✔</span></p>
<div class="question_part_label">a(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">Rate = <em>k</em> [C<sub>3</sub>H<sub>7</sub>Cl] [OH<sup>−</sup>] ✔<br></span></p>
<p><span style="background-color: #ffffff;">«[OH<sup>−</sup>] held constant and» [C<sub>3</sub>H<sub>7</sub>Cl] triples <em><strong>AND</strong> </em>rate triples «so first order wrt C<sub>3</sub>H<sub>7</sub>Cl» ✔<br></span></p>
<p><span style="background-color: #ffffff;">[C<sub>3</sub>H<sub>7</sub>Cl] doubles <em><strong>AND</strong> </em>[OH<sup>−</sup>] doubles <em><strong>AND</strong> </em>rate quadruples «so first order wrt OH<sup>−</sup>» ✔</span></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">SN2 ✔</span></p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept ‘bimolecular nucleophilic substitution.’</span></em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="628" height="118"></p>
<p><span style="background-color: #ffffff;">curly arrow going from lone pair on O/negative charge on OH<sup>–</sup> to C ✔<br></span></p>
<p><span style="background-color: #ffffff;">curly arrow showing C–Cl bond breaking ✔<br></span></p>
<p><span style="background-color: #ffffff;">representation of transition state showing negative charge, square brackets and partial bonds ✔<br></span></p>
<p><span style="background-color: #ffffff;">formation of CH<sub>3</sub>CH(OH)CH<sub>3</sub> <em><strong>AND</strong> </em>Cl<sup>–</sup> ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;">NOTE: Do <strong>not</strong> allow arrow originating on H in OH<sup>–</sup>.</span></em></p>
<p><em><span style="background-color: #ffffff;">Allow curly arrow going from bond between C and Cl to Cl in either reactant or transition state. </span></em></p>
<p><em><span style="background-color: #ffffff;">Do <strong>not</strong> award M3 if OH–C bond is represented.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept formation of NaCl instead of Cl<sup>–</sup>.</span></em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">2C<sub>3</sub>H<sub>8</sub>O (l) + 9O<sub>2</sub> (g) → 6CO<sub>2</sub> (g) + 8H<sub>2</sub>O (g)<br><em><strong>OR</strong></em><br>C<sub>3</sub>H<sub>8</sub>O (l) + 4.5O<sub>2</sub> (g) → 3CO<sub>2</sub> (g) + 4H<sub>2</sub>O (g) ✔</span></p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>bonds broken:</em><br>7(C–H) + C–O + O–H + 2(C–C) + 4.5(O=O)<br><em><strong>OR</strong></em><br>7(414 «kJ mol<sup>−1</sup>») + 358 «kJ mol<sup>−1</sup>» + 463 «kJ mol<sup>−1</sup>» + 2(346 «kJ mol<sup>−1</sup>») + 4.5(498 «kJ mol<sup>−1</sup>») / 6652 «kJ» ✔<br></span></p>
<p><span style="background-color: #ffffff;"><em>bonds formed</em>:<br>6(C=O) + 8(O–H)<br><em><strong>OR</strong></em><br>6(804 «kJ mol<sup>−1</sup>») + 8(463 «kJ mol<sup>−1</sup>») / 8528 «kJ» ✔</span></p>
<p><span style="background-color: #ffffff;"><br>«Δ<em>H</em> = bonds broken − bonds formed = 6652 – 8528 =» −1876 «kJ mol<sup>−1</sup>» ✔</span></p>
<p> </p>
<p><em>NOTE: <span style="background-color: #ffffff;">Award<strong> [3]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub>/Cr<sub>2</sub>O<sub>7</sub><sup>2–</sup>/«potassium» dichromate «(VI)» <em><strong>AND</strong> </em>acidified/H<sup>+</sup><br><em><strong>OR</strong></em><br>«acidified potassium» manganate(VII) / «H<sup>+</sup> and» KMnO<sub>4</sub> / «H<sup>+</sup> and» MnO<sub>4</sub>– ✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;">NOTE: Accept “H<sub>2</sub>SO<sub>4</sub>” or “H<sub>3</sub>PO<sub>4</sub>” for “H<sup>+</sup>”.<br>Do <strong>not</strong> accept HCl.<br>Accept “permanganate” for “manganate(VII)”.</span></em></p>
<div class="question_part_label">d(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">C<sub>3</sub>H<sub>8</sub>O/propan-2-ol: hydrogen-bonding <em><strong>AND</strong> </em>C<sub>3</sub>H<sub>6</sub>O/propanone: no hydrogen bonding/«only» dipole–dipole/dispersion forces ✔<br></span></p>
<p><span style="background-color: #ffffff;">hydrogen bonding stronger «than dipole–dipole» ✔</span></p>
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">only one hydrogen environment<br><em><strong>OR</strong></em><br>methyl groups symmetrical «around carbonyl group» ✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Accept “all hydrogens belong to methyl groups «which are in identical positions»”.</span></em></p>
<div class="question_part_label">d(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOcAAABxCAYAAAAuy7R+AAAK2ElEQVR4Ae2dsWvryBbG599Q7TZdule5crP1bVWkSbG9Id32glRbLQhueSEIDI8LS8Dc5jUX1N3CqFtCULPFYlxcghHfQ7ZsK+OxbDmaYx3vFwjRjCWdM7/5PsmamSAD/pAACfSSgOllVkyKBEgANCdFQAI9JUBz9rRjmBYJ0JzUAAn0lADN2dOOYVokQHNSAyTQUwLKzTlHNv2CKLyBMWb9G4SInr4hWxQ75HmC0BgMohTLXW21tUAaDWEGEdL9D/f2Pqvi0vHPShrAIsP0KUIYVGyNQRBGeJpmWGzP+YIkHBzkt0wjDMwQUbo7YntoJxtL5Mk9zKEYyxTR4FDfd5KAt5PoNWfxiunDCKY04/NGLG/Iv/++ElMQfsZsY9BLm+PS8c+QT5E/42EYIAgf8ZzN12cocnx/DBGYG4Txj8qgNOcZeE86RKk53/Ca/IrA/IIo/cdqaIH59AGBCTCKZ1jdPy9tjkvHtwgdLRZ/Ibm7gRk+It1c4LYH/Y3p+BbGfEKc/QRAc27RdLyh05zFDPEogBnFyGrfXrdsihzpJMEkzWnOLZTTN4osxqh+cbMOLfIUk+Qr0vyN5rTYdFlUac5j4tkDdOk716Xj7wFpqviJLP5UuzM27Vt+xjvnMULnfq7SnOtBhgHC5OW0dlfm2A4abQaP6n8FBoQuFv80StVe1QCZuUeSnzJCVpmzznJvW2JAaDdo5eLsHgxsBUZ853+VOd0dxNHa96o705wHLm4crX1Pt01JpTmxuhPWBnyOtbjN18rtiGR5JQ4wHCfvp2WOxXJ93ia+63jRus3UxGbA51jwdl9ri/x/eNxOfY0wTma1aZljsVyfb/I9cHfmVIoLmse6YwNCKLDIviGZpMjLAaOTzVGN9A5/w7Qc7Fj8QBze7kZ9z23SyfHPDdDtccef6cv55Uk14NbGnOVI738wfHhGXhRYzD4jDE69CBxqI815iMyF6punUtadHmAYfV9flc82R/UVL0yQf6SlZ8f/SNAPHNs4lTLHLL6rTWO1MaeV0+qu1mLswDp8XaQ5nVguWulchDBH9vzY2SKE9UT8Le6Sv9ZTMuc2WJs5ATgXISwyPEddLUJ4Qz79DcPgVySv5ZTMuT8057nk/B63ms/8A+Nh0PHyvU2HG5jhA5LNCplzW6PQnGVTV/OZ8RjD2uhrN8v3NiO8XTzTb/qKz5znylPpcdXX5+AB07lrtYPSZvUl7errczCeolog2JfMepGHztFaSXSru96Bq7JkHlcZq7rrHZiGucomt2gUzfkOVnWn3K4ptcvvdmahLYHVnfJ2N1Bnl9ue78r3pzntDn43z1n+i1TtvzLsfVluTeD9POcNwujPj88jt85CxwE0p45+Ypb/QgI054U6vVz/yR9/BK6B79UoRFtnMF9/xizPrI2viwbN6aIiUKdNPMxXQBRWCJrTAiJVpNj9ktbG10WD5nRREajTJh7mKyAKKwTNaQGRKlLsfklr4+uiQXO6qAjUaRMP8xUQhRWC5rSASBUpdr+ktfF10aA5XVQE6rSJh/kKiMIKQXNaQKSKFLtf0tr4umjQnC4qAnXaxMN8BURhhaA5LSBSRYrdL2ltfF00aE4XFYE6beJhvgKisELQnBYQqSLF7pe0Nr4uGjSni4pAnTbxMF8BUVghaE4LiFSRYvdLWhtfFw2a00VFoE6beJivgCisEDSnBUSqSLH7Ja2Nr4sGzemiIlCnTTzMV0AUVgia0wIiVaTY/ZLWxtdFg+Z0URGo0yYe5isgCisEzWkBkSpS7H5Ja+ProkFzuqgI1GkTD/MVEIUVgua0gEgVKXa/pLXxddGgOV1UBOq0iYf5CojCCkFzWkCkihS7X9La+Lpo0JwuKgJ12sTDfAVEYYVQbs45sukXROFN88tzrUZfrLjIMH2KVm/eLsVe/u6/jPZi2e0HVpVvgUX2DU+rN2+v2RpTvijpC6YfffnxPhmRGr3mdL52/g3599/3XzsvgrI5iPM17ts3mt0gjH9g0XwK0U915Vu9wn5lxt1by7ZvNAvuEM/0vZ5XqTmr92aaXxCl/1iiLTCfPiAwAUbxDL14H3X1Bmezfe9nPeW/MR3fwphPiLOf9Q8ut60s3+I1wV0Q7N77WSc3n2IcGJhRjKwXYqgn17yt05zFDPEoOAy8yJFOEkzSvBfmLLIYo4aLRZGnmCRfkeZvzb0l9KmufH8iiz81XNzekKdfkUxS5DSnfwUdE4//DNpEOCaeNueS2FdZvscu1BLIPMVQeedcphEGZoAwefGEpcvTLpBGQxhzjyRfdnliT+dSlu8yRTQwMGGC3BORS52W5vROXpnYoSxfmtO7gtsFyBOEDc9w7U7me+8l8uS+4ZnId/y259eW7wuScHB4/KFt83u0f+OdczMX16e/K3ZHnzPWc171QYBLtGHTz8efkcv52sm7ASzmu5mrPPx3zfeEZ+RyvtYacLsE36aYG63U/zaas75jv7abp1IWs88IDw2tX6IhjVMTc8ziOwTOaaFLJAtAWb6NUymLH4jLRSrOaawL8T0xrFJzlgJ6xfRhBBOEiJ6zagJ/juz5Uc8ihEWG59WKFiWLEHqbr2sRQvnt6c/16jEuQjjxctDlbqv5zD8wHgYqlu+t5jPjMYbV0r3ya06fl+/pyrecz/wv4vFopwUu3+vSbTwXCZDAhoDer7WbFvAvCVwpAZrzSjuWzdJPgObU34dswZUSoDmvtGPZLP0Ersac5cinph/m67e3tPF10dClaFcLqjptncF8Gzqzg4+08XU1meZ0URGo0yYe5isgCisEzWkBkSpS7H5Ja+ProkFzuqgI1GkTD/MVEIUVgua0gEgVKXa/pLXxddGgOV1UBOq0iYf5CojCCkFzWkCkihS7X9La+Lpo0JwuKgJ12sTDfAVEYYWgOS0gUkWK3S9pbXxdNGhOFxWBOm3iYb4CorBC0JwWEKkixe6XtDa+Lho0p4uKQJ028TBfAVFYIWhOC4hUkWL3S1obXxcNmtNFRaBOm3iYr4AorBA0pwVEqkix+yWtja+LBs3poiJQp008zFdAFFYImtMCIlWk2P2S1sbXRYPmdFERqNMmHuYrIAorBM1pAZEqUux+SWvj66JBc7qoCNRpEw/zFRCFFYLmtIBIFSl2v6S18XXRoDldVATqtImH+QqIwgpBc1pApIoUu1/S2vi6aNCcLioCddrEw3wFRGGFoDktIFJFit0vaW18XTSUmvMFSTiAGURIl+tm1TtjmUYYmCGidOFqs3xdniA0BoMoRZXu6h2S60QWSKPhu7bIJ2hFVJXvEnlyD2P191YPyxTR4D17q7W9LdKcEl2jSuwAVOVLc0pIuEWM/Ttn/WANd85dvjrunP3N123Obb68c25RCG3QnF5BO+6cu3h9u5jQnLu+6cUWzem1G2hOr3hPPbnuZ05jVgMr5cP//m//BoT2c6zlXRvcOrXzvO1XmVNHvps7Z42lQw/1wThv3Do+sW5zHhA0nzk/qBLeOT8IsJvDac5uODafRZXY3aO1uwbymXPHwu8WzemX7/rsNKdHypuvtQceYzha65G989QcEHJi6apS1cWE5uyq2zs6D83ZEUj3aWhONxfhWn6tlQCuSux85pSQxCkxlJrzlKZxHxLQTYDm1N1/zP6KCdCcV9y5bJpuAjSn7v5j9ldMgOa84s5l03QToDl19x+zv2ICNOcVdy6bppvA/wE6a5X7qHn/aAAAAABJRU5ErkJggg==">✔</span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;">NOTE: Continuation bonds must be shown. </span></em></p>
<p><em><span style="background-color: #ffffff;">Methyl groups may be drawn on opposite sides of the chain or head to tail. </span></em></p>
<p><em><span style="background-color: #ffffff;">Ignore square brackets and “n”.</span></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;">
[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">a(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(iv).</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>
<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(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d(iii).</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>Nitrogen dioxide and carbon monoxide react according to the following equation:</p>
<p style="text-align: center;">NO<sub>2</sub>(g) + CO(g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> NO(g) + CO<sub>2</sub>(g) Δ<em>H</em> = –226 kJ</p>
<p>Experimental data shows the reaction is second order with respect to NO<sub>2</sub> and zero order with respect to CO.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the rate expression for the reaction.</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>The following mechanism is proposed for the reaction.</p>
<p><span class="mjpage mjpage__block"><math xmlns="http://www.w3.org/1998/Math/MathML" display="block" alttext="\begin{array}{*{20}{l}} {{\text{Step I}}}&{{\text{N}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {\text{N}}{{\text{O}}_{\text{2}}}{\text{(g)}} \to {\text{NO(g)}} + {\text{N}}{{\text{O}}_{\text{3}}}{\text{(g)}}} \\ {{\text{Step II}}}&{{\text{N}}{{\text{O}}_{\text{3}}}{\text{(g)}} + {\text{CO(g)}} \to {\text{N}}{{\text{O}}_{\text{2}}}{\text{(g)}} + {\text{C}}{{\text{O}}_{\text{2}}}{\text{(g)}}} \end{array}">
<mtable columnalign="left" rowspacing="4pt" columnspacing="1em">
<mtr>
<mtd>
<mrow>
<mrow>
<mtext>Step I</mtext>
</mrow>
</mrow>
</mtd>
<mtd>
<mrow>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>NO(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mrow>
<mtext>Step II</mtext>
</mrow>
</mrow>
</mtd>
<mtd>
<mrow>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>3</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>CO(g)</mtext>
</mrow>
<mo stretchy="false">→</mo>
<mrow>
<mtext>N</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
<mo>+</mo>
<mrow>
<mtext>C</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mrow>
<mtext>2</mtext>
</mrow>
</msub>
</mrow>
<mrow>
<mtext>(g)</mtext>
</mrow>
</mrow>
</mtd>
</mtr>
</mtable>
</math></span></p>
<p>Identify the rate determining step giving your reason.</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>State one method that can be used to measure the rate for this reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Sketch the relationship between the rate of reaction and the concentration of NO<sub>2</sub>.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[1]</div>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The Arrhenius equation, <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="k = A{e^{ - \frac{{Ea}}{{RT}}}}">
<mi>k</mi>
<mo>=</mo>
<mi>A</mi>
<mrow>
<msup>
<mi>e</mi>
<mrow>
<mo>−</mo>
<mfrac>
<mrow>
<mi>E</mi>
<mi>a</mi>
</mrow>
<mrow>
<mi>R</mi>
<mi>T</mi>
</mrow>
</mfrac>
</mrow>
</msup>
</mrow>
</math></span>, gives the relationship between the rate constant and temperature.</p>
<p>State how temperature affects activation energy.</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>«rate =» <em>k</em> [NO<sub>2</sub>]<sup>2</sup></p>
<p> </p>
<p><em>Accept rate = k [NO<sub>2</sub>]<sup>2</sup>[CO]<sup>0</sup>.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«step» I <em><strong>AND</strong></em> CO does not appear in the rate law expression<br><em><strong>OR</strong></em><br>«step» I <em><strong>AND</strong></em> only «2 molecules of» NO<sub>2</sub> appears in rate expression</p>
<p> </p>
<p><em>Do not allow ECF from (i).</em></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>«IR or UV-vis» spectroscopy<br><em><strong>OR</strong></em><br>colorimetry<br><em><strong>OR</strong></em><br>colour change «over time»</p>
<p> </p>
<p><em>Accept GC/gas chromatography.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p> </p>
<p><em>Curve must go through origin.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.v.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>activation energy is independent of temperature</p>
<p> </p>
<p><em>Accept “no relationship”.</em></p>
<p><strong><em>[1 mark]</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">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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.v.</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>Bromate and bromide ions react in acidic aqueous solution.</p>
<p style="text-align: center;">BrO<sub>3</sub><sup>− </sup>(aq) + 5Br<sup>− </sup>(aq) + 6H<sup>+ </sup>(aq) → 3Br<sub>2 </sub>(l) + 3H<sub>2</sub>O (l)</p>
<p>The following rate data was collected.</p>
<p><img style="display: block; margin-left: auto; margin-right: auto;" 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" width="479" height="169"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the rate expression for the reaction.</p>
<p><img 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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>Determine the value and unit of the rate constant using the rate expression in (a).</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>BrO<sub>3</sub><sup>–</sup>:</em> 1/first <em><strong>AND</strong> Br<sup>–</sup>:</em> 1/first <em><strong>AND</strong> H<sup>+</sup>:</em> 2/second ✓</p>
<p>«Rate =» <em>k</em>[BrO<sub>3</sub><sup>−</sup>][Br<sup>−</sup>][H<sup>+</sup>]<sup>2</sup> ✓</p>
<p><em><br>M2: Square brackets required for the mark.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«<em>k</em> =<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>8</mn><mo>.</mo><mn>0</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>4</mn></mrow></msup></mrow><mrow><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><mn>0</mn><mo>.</mo><mn>10</mn><mo>×</mo><msup><mfenced><mrow><mn>0</mn><mo>.</mo><mn>10</mn></mrow></mfenced><mn>2</mn></msup></mrow></mfrac></math>=» 8.0 ✓</p>
<p>mol<sup>−3</sup> dm<sup>9 </sup>s<sup>−1</sup> ✓</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>Hybridization of hydrocarbons affects their reactivity.</p>
</div>
<div class="specification">
<p>Experiments were carried out to investigate the mechanism of reaction between 2-chloropentane and aqueous sodium hydroxide.</p>
<p style="text-align: center;"><img 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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Distinguish between a sigma and pi bond.</p>
<p><img src="data:image/png;base64,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"></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>Identify the hybridization of carbon in ethane, ethene and ethyne.</p>
<p><img src="data:image/png;base64,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"></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>State, giving a reason, if but-1-ene exhibits cis-trans isomerism.</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 the type of reaction which occurs between but-1-ene and hydrogen iodide at room temperature.</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>Explain the mechanism of the reaction between but-1-ene with hydrogen iodide, using curly arrows to represent the movement of electron pairs.</p>
<div class="marks">[4]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State, giving a reason, if the product of this reaction exhibits stereoisomerism.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the rate expression for this reaction.</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>Deduce the units of the rate constant.</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>Determine the initial rate of reaction in experiment 4.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce, with a reason, the mechanism of the reaction between 2-chloropentane and sodium hydroxide.</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>Discuss the reason benzene is more reactive with an electrophile than a nucleophile.</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><em>Sigma (σ) bond:</em></p>
<p>overlap «of atomic orbitals» along the axial / intermolecular axis / electron density is between nuclei<br><em><strong>OR</strong></em><br>head-on/end-to-end overlap «of atomic orbitals» ✔</p>
<p> </p>
<p><em>Pi (π) bond:</em></p>
<p>overlap «of p-orbitals» above and below the internuclear axis/electron density above and below internuclear axis<br><em><strong>OR</strong></em><br>sideways overlap «of p-orbitals» ✔</p>
<p> </p>
<p><em>Accept a suitable diagram.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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" width="473" height="69"></p>
<p><em><br>All 3 required for mark.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>no <em><strong>AND</strong> </em>2 groups on a carbon «in the double bond» are the same/hydrogen «atoms»</p>
<p><em><strong>OR</strong></em></p>
<p>no <em><strong>AND</strong> </em>molecule produced by rearranging atoms bonded on a carbon «in the double bond» is the same as the original ✔</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«electrophilic» addition ✔</p>
<p> </p>
<p><em>Do not allow nucleophilic addition.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img src="data:image/png;base64,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"></p>
<p>curly arrow going from C=C to H of HI <em><strong>AND</strong> </em>curly arrow showing I leaving ✔</p>
<p>representation of carbocation ✔</p>
<p>curly arrow going from lone pair/negative charge on I<sup>–</sup> to C<sup>+</sup> ✔</p>
<p>2-iodobutane formed ✔</p>
<p> </p>
<p><em>Penalize incorrect bond, e.g. –CH–H<sub>3</sub>C or –CH<sub>3</sub>C once only.</em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>yes <em><strong>AND</strong> </em>has a carbon attached to four different groups<br><em><strong>OR</strong></em><br>yes <em><strong>AND</strong> </em>it contains a chiral carbon ✔</p>
<p><em><br>Accept yes <strong>AND</strong> mirror image of molecule different to original/non-superimposable on original.</em></p>
<div class="question_part_label">b(iv).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«rate =» k[NaOH][C<sub>5</sub>H<sub>11</sub>Cl] ✔</p>
<div class="question_part_label">c(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup> ✔</p>
<div class="question_part_label">c(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>ALTERNATIVE 1:</strong></p>
<p>«k = » 1.25 «mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p>«rate = 1.25 mol<sup>–1 </sup>dm<sup>3 </sup>s<sup>–1</sup> × 0.60 mol dm<sup>–3</sup> × 0.25 mol dm<sup>–3</sup>»</p>
<p>1.9 x 10<sup>–1</sup> «mol dm<sup>–3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p><strong>ALTERNATIVE 2:</strong></p>
<p>«[NaOH] exp. 4 is 3 × exp. 1»</p>
<p>«[C<sub>5</sub>H<sub>11</sub>Cl] exp. 4 is 2.5 × exp. 1»</p>
<p>«exp. 4 will be » 7.5× faster ✔</p>
<p>1.9 x 10<sup>–1</sup> «mol dm<sup>–3 </sup>s<sup>–1</sup>» ✔</p>
<p> </p>
<p><em>Award <strong>[2]</strong> for correct final answer.</em></p>
<div class="question_part_label">c(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>S<sub>N</sub>2 <em><strong>AND</strong> </em>rate depends on both OH<sup>–</sup> and 2-chloropentane ✔</p>
<p><em><br>Accept E2 <strong>AND</strong> rate depends on both OH<sup>–</sup> and 2-chloropentane.</em></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>delocalized electrons/pi bonds «around the ring»<br><em><strong>OR</strong></em><br>molecule has a region of high electron density/negative charge ✔</p>
<p>electrophiles are attracted/positively charged <em><strong>AND</strong></em> nucleophiles repelled/negatively charged ✔</p>
<p> </p>
<p><em>Do not accept just “nucleophiles less attracted” for <strong>M2</strong>.</em></p>
<p><em>Accept “benzene <strong>AND</strong> nucleophiles are both electron rich” for “repels nucleophiles”.</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;">
[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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iv).</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">c(iii).</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>A mixture of 1.00 mol SO<sub>2</sub>(g), 2.00 mol O<sub>2</sub>(g) and 1.00 mol SO<sub>3</sub>(g) is placed in a 1.00 dm<sup>3</sup> container and allowed to reach equilibrium.</p>
<p style="text-align: center;">2SO<sub>2</sub>(g) + O<sub>2</sub>(g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌<!-- ⇌ --></mo>
</math></span> 2SO<sub>3</sub>(g)</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Nitrogen oxide is in equilibrium with dinitrogen dioxide.</p>
<p>2NO(g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> N<sub>2</sub>O<sub>2</sub>(g) Δ<em>H</em><sup>Θ</sup> < 0</p>
<p>Deduce, giving a reason, the effect of increasing the temperature on the concentration of N<sub>2</sub>O<sub>2</sub>.</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>A two-step mechanism is proposed for the formation of NO<sub>2</sub>(g) from NO(g) that involves an exothermic equilibrium process.</p>
<p>First step: 2NO(g) <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" \rightleftharpoons ">
<mo stretchy="false">⇌</mo>
</math></span> N<sub>2</sub>O<sub>2</sub>(g) fast</p>
<p>Second step: N<sub>2</sub>O<sub>2</sub>(g) + O<sub>2</sub> (g) → 2NO<sub>2</sub>(g) slow</p>
<p>Deduce the rate expression for the mechanism.</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>The rate constant for a reaction doubles when the temperature is increased from 25.0 °C to 35 °C.</p>
<p>Calculate the activation energy, <em>E</em><sub>a</sub>, in kJ mol<sup>−1</sup> for the reaction using section 1 and 2 of the data booklet.</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>[N<sub>2</sub>O<sub>2</sub>] decreases <strong><em>AND </em></strong>exothermic <strong>«</strong>thus reverse reaction favoured<strong>»</strong></p>
<p> </p>
<p><em>Accept “product” for [N</em><sub><em>2</em></sub><em>O</em><sub><em>2</em></sub><em>].</em></p>
<p><em>Do </em><strong><em>not </em></strong><em>accept just “reverse reaction </em><em>favoured/shift to left” for “[N<sub>2</sub>O<sub>2</sub></em><em>] </em><em>decreases”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong><em>ALTERNATIVE 1:</em></strong></p>
<p><strong>«</strong>from equilibrium, step 1<strong>»</strong></p>
<p><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{K_c} = \frac{{{\text{[}}{{\text{N}}_2}{{\text{O}}_2}{\text{]}}}}{{{{{\text{[NO]}}}^2}}}">
<mrow>
<msub>
<mi>K</mi>
<mi>c</mi>
</msub>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<mtext>[</mtext>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>N</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<msub>
<mrow>
<mtext>O</mtext>
</mrow>
<mn>2</mn>
</msub>
</mrow>
<mrow>
<mtext>]</mtext>
</mrow>
</mrow>
<mrow>
<mrow>
<msup>
<mrow>
<mrow>
<mtext>[NO]</mtext>
</mrow>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span></p>
<p><strong><em>OR</em></strong></p>
<p>[N<sub>2</sub>O<sub>2</sub>] = <em>K</em><sub><em>c</em></sub>[NO]<sup>2</sup></p>
<p><strong>«</strong>from step 2, rate <strong>«</strong>= <em>k</em><sub>1</sub>[N<sub>2</sub>O<sub>2</sub>][O<sub>2</sub>] = <em>k</em><sub>2</sub><em>K</em>[NO]<sup>2</sup>[O<sub>2</sub>]<strong>»</strong></p>
<p>rate = <em>k</em>[NO]<sup>2</sup>[O<sub>2</sub>]</p>
<p> </p>
<p><strong><em>ALTERNATIVE 2:</em></strong></p>
<p><strong>«</strong>from step 2<strong>» </strong>rate = <em>k</em><sub>2</sub>[N<sub>2</sub>O<sub>2</sub>][O<sub>2</sub>]</p>
<p><strong>«</strong>from step 1, rate<sub>(1)</sub> = k<sub>1</sub>[NO]<sup>2</sup> = <em>k<sub>–</sub></em><sub>1</sub>[N<sub>2</sub>O<sub>2</sub>], [N<sub>2</sub>O<sub>2</sub>] = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{k_1}}}{{{k_{ - 1}}}}">
<mfrac>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span> [NO]<sup>2</sup><strong>»</strong></p>
<p><strong>«</strong>rate = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{{k_1}}}{{{k_{ - 1}}}}">
<mfrac>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span> <em>k</em><sub>2</sub>[NO]<sup>2</sup>[O<sub>2</sub>]<strong>»</strong></p>
<p>rate = <em>k</em>[NO]<sup>2</sup>[O<sub>2</sub>]</p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct rate expression.</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><strong>«</strong><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\ln \frac{{{k_1}}}{{{k_2}}} = \frac{{{E_a}}}{R}\left( {\frac{1}{{{T_2}}} - \frac{1}{{{T_1}}}} \right)">
<mi>ln</mi>
<mo></mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
<mrow>
<mrow>
<msub>
<mi>k</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<mrow>
<msub>
<mi>E</mi>
<mi>a</mi>
</msub>
</mrow>
</mrow>
<mi>R</mi>
</mfrac>
<mrow>
<mo>(</mo>
<mrow>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>2</mn>
</msub>
</mrow>
</mrow>
</mfrac>
<mo>−</mo>
<mfrac>
<mn>1</mn>
<mrow>
<mrow>
<msub>
<mi>T</mi>
<mn>1</mn>
</msub>
</mrow>
</mrow>
</mfrac>
</mrow>
<mo>)</mo>
</mrow>
</math></span><strong>»</strong></p>
<p>T<sub>2</sub> = <strong>«</strong>273 + 35 =<strong>» </strong>308 K <strong><em>AND </em></strong>T<sub>1</sub> = <strong>«</strong>273 + 25 =<strong>» </strong>298 K</p>
<p><em>E</em><sub>a</sub> = 52.9 <strong>«</strong>kJ mol<sup>–1</sup><strong>»</strong></p>
<p> </p>
<p><em>Award </em><strong><em>[2] </em></strong><em>for correct final answer.</em></p>
<p><strong><em>[2 marks]</em></strong></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">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>Analytical chemistry uses instruments to separate, identify, and quantify matter.</p>
</div>
<div class="specification">
<p>Nitric oxide reacts with chlorine.</p>
<p style="text-align: center;">2NO (g) + Cl<sub>2</sub> (g) → 2NOCl (g)</p>
<p>The following experimental data were obtained at 101.3 kPa and 263 K.</p>
<p style="text-align: center;"><img 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Rs+th1Gv4teVFDlN4K/a8Ju1uN74hzDB1B15jB+VPYMjhQuB2xHsXHr2OrnUS3nq5NTb4dKdQs0q7aL8wGFwko8oeOrVudi5SOPiwthbPK8wRkLsXpfMyAUYs8j6ZP4VMoN6xbsyeN1qUXRXZLMq/mq7OXI27MFK0O+Ubtqr54917XohbbVGVWHyTuQ5pSJBd6A3e75qh3pAaH5VdS19rsMkNOG9sNPuR6GJkRQeWh6GK2tyrkYfF5wMU4Yv40PNz6IR9y2Z+FbrdSgeF0VUFGDPT633fEnLDf8QOpCPz33/pJRePQJiPOspFnXH9vhPs1RvhmeQ0Pdv0rbfPEH7FdQuf2otMNEBCLxhYo/3Yc1b23H1grltmb87TOHUZxZgT8WKHRLlFWAaJOX7kLL4A3Y2o+OvSFG3qIsFJH4hvFYNIULbkIRMtHiyHMceb2d+Nj+sbsDhom0jaHqug8Zk+/DE0e+jre2P4XD7dKbr+xdaHx2N3aiGHs3L/XhYLk2jEdICwpjTw9i22EMxotvAFvqsYWOPNQmrn723KR4CfJO/QamujLXKmXueFW9jdbDG6T9wNRIWpaLo61G6MvkGZGAkFeD5tZDKFw2Uds8+KkoX3F11ACjXpaXb9+Th6pmA44WLg9hBat7vuqUtXi2hvfA8o+AO+CA4r0j7pHpV5QJ3IqUtY+iYmQXUmcsxsaTPR5GUY1k3eM4U7cCv1m9EDP4gquFP8K/3JGP04Yyqc2iLBLPTnm9uGU/C0Lm/4HRWoecuS3YJi66UkE1Q4vSttuRc8YM4941o6u53ZL6+0Hb6fgjM/nh6sVYW56LEb4P42cKcbLHwxIk34cfnDmAlb/Jh2YGn5ulxY/+ZR7yT58K8U0qgarE7Ww+fmY+gx+kXkSp5hZpDtjt0B13YN3xVpxR6pZ6GQrqTqGGPzzzj/P/4a3d7yDtzEdg7COYHvg9tus9d7DwVT5tp+OLSiyEqVOyUV4xgKLUz+AzG3+JHsVSAXFB4ETaxhB13VvGWViQsxetx7+Oy+Val82evQmvf24bTCeKofVadMtJx+d2OrKOqBhjjG9bwxiTw6bhN9/cOgMbjwF5hnfpLSwx2sLTXw8nAzzfMDwPqbtSYOzaI72WcDLK5WXw+ZbfwOqGrCkoO3p1JD2MHkv+ruG1qf+AFca3fe89GnFRrk2V7266H+f5KzalTckbco3omohXbkYsb+gZkB6GzopiThwBpR5Oj0UvE8eKciYCRIAIEIEYJeC0GbH/wMc4WHvfJE4XilEYJBYRmGAC8T0kPcFwKHsiELcEbPuw+vYZUGXXTsKbfuTX033O9frDuIVGgk8MAXnrEf76VI+h7wgKdNrOYleBASmHn0HOgkG0lKdDdTt/5WEEmVJSIkAE/BJIkCFpv/WnEzFEQNn1HUNikSgJRoD0MNYbfBDdjfvx+OsL8Oz+R8feRBPrYo9TPtLDcQKj6BNCQKmH5DBOCGLKNBwCSsUMJz2lIQLRIEB6GA2KE5iHNE/RrScxzwBrfc7ELQ6bwOr4y5r00B8ZCp9MAko9JIdxMslTWQEJKBUzYEQ6SQQmkADp4QTCpaxDJkB6GDIqijiBBJR6SHMYJxA0ZU0Epi8BJ+zdjSjP0ECl0iCjvDHyTZWnLyyq2YQRID2cMLTTOuN40RvpZR3ivtNT3yDkME59G5AERCD+CDi7cfLxvbj6+G/gcPwGj1/9CZ5r7o+/epDE8U2A9DC+22+qpI8HvXHaYK7fjS3iyzqmCpR7ueQwuvOgX0Qgtgk4u1Cb7f+1U+7C830R0ydmpbR6GQqbTNDz97V/PITrN5Mwf86n3YunX0RgogmQHk404ejmPy77Je++EN3V9WKFJkxv+D64m6GK1qt7P7sZx9qqXG9oi25LhJUbOYxhYaNERIAIcAI3zdVImZ2Goj/ei+y7JvlNSNQEU0cgVm78EgHSw6lThXguOfp6cyuWFp4Es+6N/KUJagHaB7UQZsQOYXIYY6ctSBIiEHsEbI3I568p9PhLqTaDvw17prYUPWwYfY9fwdYfvRn5e4ZjjwBJFBME+Nu6Urz0UJVSDfNN0sOYaKKYFCLW9SawfLGGlBzGWGsRkifOCcjDKP8b1Y2NqM5Pk25y2Sivb4dtsBtnq/OhER2wNOQfeh825XtT7d1oqS1HhuygZZSjtqUb9hCoOG1mNCrzrn4D5y8Pj6Xk25FoNMiufg1No/H4gpUGmG1X0X32EPI1LudQk38U7bYRQMhBPWPiq0P560Plv54dn8Gx7IeljZhnYvacZNw2fw4+M1YaHRGBKBK4Azn1PaP6J+sh634Qv3uA9DB6oKfOfoHP2WusVtigGrx1XjkvWp5isx+NTWO2SpVRjnpzPwa7m8bsrSYfh9ptcCJcvQmnLN4KHkPSss195Sza68fsuib/EM52DwL+5OsphTYG38NHDmP0rjTKiQgoCJzGzhdNWPzk+2BsGFbjvWgvWAXNsudw8e/2o485MNRZClQ9hl2nL0H0Ge0XUVu8EVvf+zwOWIdd6Q58Hu9t1WFddXtgp9HejpotD+HFK+vROuQAY+/jycU9+NWxiwqZ+KENzTtfQcviCnQzBoe1Hve0lyNdk4HnLq7E/j4GNtSBPXgJG3a9iX6lM6vMSb0Umw9n4T3dp6FSzcCy+gU48QN6PZsS0dQeT7cbvx+apId+wEQaPMn2C9dhrnkU6S9ew/rWATDmQPeTi3H+V2e9Ry2aX8CLLXfiyW4HmKMPxnsuoCB9IZY914O/228GYwPo3DMTVRuew+n+Ed8gQtWbaJTFbe53q2GY/QjO8IduRx+OL3gbWdv0MNv9GVjfYk95KOOPauAPbvQhAlNLYHrooYMNGCuYAC0rM14ZAzpgZGWCwLL0ncwhhzo6mT5LYEKZkQ0wKZ1QzAx9w3IMxuRwbGJ6yyeMiWmWuOcjxxEqmHFgNHfG2BVmLNMyZOmZhQeLMkAqTy7CI44Y/Amz6DcxeOUnp5ne39NLD8Ggq2AGywBjbJhZjU8zHcAg5LGaNitzMAcb6qxjecJyVmjodenmUAfT5y1nQt4R1mblujjMrG1HWJ4gMF1VGxvize9TD/mJj5ip6gFFmQ42ZDGwMp3AIOuwrJcQmK7MwCxDDsYcfcxYkSXei8bKHWCd+kImeF0T01v/5NpNjR5Ohf2SbZOHzZTtmqfeuNklWV7JPkrwHBY9y/K0wTLYkL4luzjusjxsp0+b61vmkMSagkhKPaQexil32UkAIsAJXIOpqRm2tLuxXJilQKJG0sIUpOFDWPr8DUzLaVOwMEl5SSdhYepiRV50mHgEtCjbvQM5S/mCpFkQ0r+GlYKArD0VKFkpQA01kpauwtfT/htvtX0AO5wYbD+BXWe/jiN75dfuzYKw8nt48XgBLDurcTLQ+6AHz+NkzWVFmTz/DXhyd4H3W1iEAux+cgOWcp1VC0i/XwsBm7DnySLpdX/JWHrfV5Fm+y3aLHz4jj6xS0C2QeHYLycGTe+gwbYYqQuTFFWUbZ8iaFocyvUKZNNjs6LKu0tsSkhSEYG4JOBp/IJUwnkVvResASJZcaH3qmvo2jNW0LTKBALSUjVQmmXlWTpOdAJ04090DXDVfxLtF0ZwubfHe+jZX0OkeT4Y+4sYhfDJLCsK4k50FuQwTjRhyp8IhEJAPQ+LVmgCxNRgxaJ58HnBBk0bIFs6Nc0J0I1/mjdwbFQvqA0KYL8wC/MXpXj3QMdGzUgKBQGf9x/FeTokAkRgUgjMRXp2FoSO87jIVyePfpyw9/WgA4Fu/HLaHvS5TaK2o8/y4WhOdEAEghKgG39QRBTBFwHZBoVjv9RITr8fuYLnEK1s+3yVR2FTQYAcxqmgTmUSAS8CaiSv3II9a97D9spXXFvawAl7VwMe31qH1KpSbF56q1cqV4AaybptOLL2DLY+3oAu0WkcRHdjDZ49aPaThoKJgC8CdOP3RYXCghGIxH4BSL4PTxz5Chq2lqO2i89X5e96Po3nnq0Lfag6mIh0PmIC5DBGjJAyIAJRIpC0HIVHDTj+9T+iXHOLuF3N7O/9O75+vBVnSlcGnneovhM5hw2oT2tB5uwZUKmWYVvbXXi8akOUhKNsEoMA3fgTo50noJaR2C/MwoKcvWitX473Mm932b5tJnz58SeQNQGiUpZhEuCrtJXLpqdg1TYVSQREAqSHpAixQGB66KGfrTuCbu8ktcCQhRn1Za4tePg2PLoypjdaXFvq8Ch+t9XhJweYpbmG5QkQ7y18W59Thn0sy3N7FHm7J7FI3/JGvj2KVJ84/JoeehiH4ElkNwJKPVTxM/y1Xy6/MUyvk5IRgSgQID2MAkTKImICpIcRI6QMokCA9DAKECmLiAko9ZCGpCPGSRkQASJABIgAESACRGB6EyCHcXq3L9WOCBABIkAEiAARIAIREyCHMWKElAERIAJEgAgQASJABKY3AXIYp3f7Uu2IABEgAkSACBABIhAxARVfARNxLpQBESACRIAIEAEiQASIwLQkwBdGz+T/lKtgpmVNqVJxQYD0MC6aadoLSXo47Zs4LipIehgXzTTthVTqIQ1JT/vmpgoSASJABIgAESACRCAyAuQwRsaPUhMBIkAEiAARIAJEYNoTIIdx2jcxVZAIEAEiQASIABEgApERIIcxMn6UmggQgaAERmBr+TEy8hthCxqXIhCBiSJAejhRZCnf8RFw2s6iMmM7Gm03x5dwimOTwzjFDUDFE4FpTcBpg7l+N7asfhqt07qiVLmYJkB6GNPNkzjCjcBmbkDFlnzsa40vZ5G3ETmMUdHUq2gpT4dKlYFqsz0qOVIm8UDgOszVD0JT3oLBoOI6Ye9uQnV+mrgrgUqVhvzqJnTbnW4pnbZ21JdnS3FUUGWUo/Z1M2zu0dzSRO+H//oElOumGdUpqjGZVdJxSjXM3CZ+djOOtVVhSfQEpZzcCPhvN7do4o/41kOIjl85MmQdU2WjvPZNmG0jAOwwV2d466Fol/9MeuitDNEJsXfjbHU+NFKbaPIP4Wx3cIsIezdaasfa0mc6ZxdqszU+2nQzartvREd+v7k4YTcfQoamEi2DHgY4bD3k/sECbD52ClVxaBDJYfSrLKGeGERXbTm2HjSHmoDiTQsCg+iq34fKfzofUm2c/adRoqvBlfWnMMQY2NAprL9Sg9R1h2GWnUbnJZze9X3UYStM1mEwNgzrgc/jve9tw/OtV0MqJ/xIAeoTTK6ZWpT2MPAtutz+ekqhnSVA+6AWwozwJaOUgQgEaDcfyeJaDzGC/tPPYV0dUGCywsEYHNanMP+9Cqx7/hwGkQRt6bvuOijq5Lso/XIK6aEPfYg4yHkJjSVbsPfKerQOOcDYAFrXX8He1C2oNl/3n72U7lnLKrwspmPo278c727Ld09nt8LScR/0lk882vUkCpfe6j//iM84Ye/6JZ6t/LmPkZEI9FA7F4I2E1phImWPuPJ+MyCH0S+a4CdcvS6bcFdRLc3NCo5r2sRwtXsl3rzrW3goKZRqXUXrC3vxVm45nsxZBjFJ0jJsKHoIWa0/x8n2a2Imzh4jXq5djNyiTdAKswDMgrCyCE/uWYyGpt+H0IsZiizecYLVZ6rk8paUQpQEgrWbMq7rOL71EM4P0fTy20jLfQS5WkEcHlMLX0XJkz9EWsM7MHn2AnkDoJCoEnBisPVlbH8rC7uf3IClSdydSMbSDXnIzTqPmpPn/dgsKZ1o674ppQPUwtdQkPsp7KxsRLfYoefEoOkdNCAFi+ZzezhJH7H3cBeK39Rg80OLvQtNYD0kh9FbHUILuWlGzddWoeBgB3Q7diBPCC0ZxYpzAs4u1BU8A0t2BXakfzbEysxD5gETrAcykew3hRP2vh50CJ7GcRbmL0oBJuqGGLQ+UySXX050QiQQtN18cYpnPeQjzry3aQ5WLJrnNpdKPX8RVqAZTSbXg5evmlPYRBBQIzlzL6zWvchMHo8rMYLLvT2w+bF1QvPbONfDh5uleGkpWCg6oxNRB888b63wN6sAAB1ESURBVKC7rhSllgzs3/EVzPY8zX8nsB6Op5V9oUvosBn3V8FgMsN4YAvSbktoFIlTefVCrK37JfZmLnC7aY0XgNP2Pg4/dwgdhZV4QjdvzDj6y8jWg97LfJ6Wj4+tEUX59eiSh7blKM5+tFQ+jPKWAMPZQesjGW05T8/vQHJ5xqXf0SMQtN1CKyp+9BBwXu7FBb/L7K240HsVHjPNQoNAsaJHwGlD++F92NWRgyNP3BfgATlQkR/C0sfn+tnRZ/kQwvw/ofER5dzvRmnOqr88/oTGou2o7fKcR+laJZ8dcM75LGjWHsKZvWsg+PGOElkP/SDx1xAUPkpgphY/fKkUOdLQyGg4HUxzAkkQhJDGoX1zkCZxz9Dchx1n78bObfdIhsllHH0nChIqPIg9+b0oKW5QOI3XYa4pQ31KBXZncofU3ydYfSKQS1HkTG0peupzQB3xCigRHQZrtyCZx50eSj3dQaoV7DTpYTBC4Z6/ge7azVDN0GDVjvNYs/M7uEecVuMrP9eoibct8Hg4dV5F74XrSF1wL/J/1iHNYXwfTy42oXTL0bG5315F3IENe9ajp6RM4TTyBSxHUVC/CId36wI4smokCX/lmjbklS8PiI4eQpz3/RJyhJk+S4nVQHIYY7VlSK7pSUC9DIVNVteCluOL8caqLDzaeCnCnpFZEDIrUMedxpLT6HfyhVg/QuW1AuwvWB7A+E1PxFSrEAiQHoYAiaKETuBWLC08KTp1DmsNFryxCdpHG9Hvs8tXjWTdNhxZ24xn9xulHSBGYGvX48CrV3CvXKiooz141623LxlL778fKy1VqDzZ7dduqoU12FO3ET0lT6Gx/wbsXQ0orhxE+f7vYNmkDW/LFZk+3+QwTp+2pJrEFQHu5BVjd9ktqH3ZiB5nEham+phgHXKdeH4/xOGvNmPr6vUo6dmIuj3+h1VCzhaRyhV6SRRzKgjEix6qkbQwBWlTgYjKHBcBtbAaP9pdANT+Ek3iXEQfydV3IufwCVTOPQ7tDL4N1zo83/llPHM4F0lYjNSFAUZxkjRITQM6LFYE2sSOy1F5+Et4fetarCvpRX5dBTL99nr6kNFnUGLrITmMPpWCAonAJBLo6EGffaa4uMV7mEaSw2uC+GTJ52/4aKrlmqz6J1A5Ma2HgLi4xe8FovFaDJNALRejVZXnIvoRL2kp1pTWwypufdSEA/npmG31tfDPT/opCk5kPSSHcYqUjopNIALSfDF/G3wLufcjPXmmqwfFaxFJqCsFR9Df+JTYs3jC+DoOpxhQsOtsFDb8lp6ow5Yrgdo51qsa13oIQOxZuu61uMW1CCFIr1Sst01cyifNW/S1sTWvj5CF7PS5Pmvm7K5Ftlc6l62DaA/VEOOo0r0X7YmrlDXIzf5igLmIgLjnKO9ZPPEWzhxehPqCfWgRN3j3KVLogYmsh4zvtAs+9YA+YRP4i4lVLQEDdKzKNBR2NomeMO700NHJ9FkCE8qMbCBg4znYkKmG6YRCpu+UYw4zq/Fp9zBHLzMULmdCXh3rHHIwxoaZte0IyxO0rMx4JUAJrryyRtPxqAOsU1/CCvUdLGSN9FefsOUKIHIMnyI9jFE9ZMOsz1DMBMV15LCeYzV5y0O4BmNY4fyIFhd6ONTGqnRalqewMw5rM6vwCPOqomhrljBdRTOzclPHbZ3pGCvLKmGGvmEp+kfMVPWAwh7yYG7XCtmSQgPrE9N55SwGiDJkbVPYWwcb6qxjhYWybfWdzj30E2bRb2IQKphxQFlY4uqh6CnGhWK6t2Rs/SKHMSrtEXd66NfBcjmS7oaGG0QDq8pbLj6gAQLTlemZ0SI7kByhgw1ZjExfliXFAYOQx6oMJsmo+sFsNbBCN2dRiufoY8aKLUGcTUWe/uoTrlyKrOPpkPQwVvWQMTZkYUZ9GdOBP6Dzv+Usr8rATFbZyYgnTQssa7zoocNqYoaqPCbIbaIrY3qjRfGgKjlecH/wdVjbWN2oreP28Jh3OzqszGSoYnmC3N5ZrExvZBbxgdofvz8yQ2GxwlmU40kP1kEf8OX4/hzGxNVDFUejUqnE1U2h98lSTCIQfQKkh9FnSjmOnwDp4fiZUYroEyA9jD5TynH8BJR6SHMYx8+PUhABIkAEiAARIAJEIKEIkMOYUM1NlSUCRIAIEAEiQASIwPgJkMM4fmaUgggQASJABIgAESACCUWAHMaEam6qLBEgAkSACBABIkAExk+AHMbxM6MURIAIEAEiQASIABFIKAIq19YECVVnqiwRIAJEgAgQASJABIhAiAT4lt0z+T/lsukQ01I0IhB1AqSHUUdKGYZBgPQwDGiUJOoESA+jjpQyDIOAUg9pSDoMgJSECBABIkAEiAARIAKJRIAcxkRqbaorESACRIAIEAEiQATCIEAOYxjQKAkRIAJEgAgQASJABBKJADmMidTaVFciMCUERmBr+TEy8hthm5LyqVAiwAmQHpIexAYBp+0sKjO2o9F2MzYEClEKchhDBEXRiAARCIOA0wZz/W5sWf00WsNITkmIQFQIkB5GBSNlEimBEdjMDajYko99rfHlLPKak8MYSfvbu9FSW44MlUpcaa7S5KO60QybM5JMKW38ELgOc/WD0JS3YDCo0E7Yu5tQnZ/m0hVVGvKrm9Btd1cWp60d9eXZUhwVVBnlqH19snTKf30CynXTjOoU6RqQrwX+nVINM7eJn92MY21VWBKUEUUIncAgultqUZ6hGdUVTf4hnO0OrokQnSeF3cooR73ZBqUmBmzv0IUMM6Z/PfSSXZWN8to3YbaNALDDXJ0xyoOv7nT9ZaDa/GfSwzBbw3+yq2gpT/fBW+aejvKWq/6Te9w/feqvp666tbf/rKNzxgm7+RAyNJVoGVReHUD4emgHsACbj51CVTwaRMb31QH4F33GQ2Cog+nzlovspL0spWOB6ara2NB48qK4IoH40sMB1llXxrLuFZhQZmQDQdrQ0WdghUIWKzN0unRjqJMZyrIYdDXMNORwpXb0MkOhlunKjjGTdZgxNsysbUdYnqBlZcYrQUqI9HSA+kRBrr+YqtiSPAOzRirmJKSPfT0cZn2GYiYIeaymzcpE7XFYWVtNHhOEYmbo47rj5yO2pY7l6TskGzXALIYKpsMmprd84koUhfb2U3oIwQH0kEn11pWxOpOr3g7rOVaTtzyka5AXTnoYQhNEGmWojVXplgS+D47qmIFZJPvnsDazCt0GVmX6SJIg8vYOvyoONtT5c1aWpWUQKphxQLLRYoZRkOsvJla1ZBszWP8SvoiTlFJpD0VPURkwSTLEeTEONmCsYALAIBQyfSd3FyQlEsM8FSzOqztJ4seLHjqsbayurJhVtZ1j+qxQHMYrzFim9bqpOSx6loUxZ9D1W3HjFrl/wiz6TV5po9kkweoTDbnoRh3FFnN0+tY7f+GjRUt2y+sG6K6f0Wjv0SLHcRBMD5lYvyUsS9/pcpKlvEV5verku2DSQ99cohf6ETNVPeD+IOyVuXz/9G3rkKVnFu6fRaG9vYoOJcBhZaa6CpZX9S4z6Td5O4zRkCtOHUYakg6r73oEl3t7xAn8Qu7D+PayZACzsOCeTKzh+dl60HuZD5HQZ9oRcHahruAZWLIrsCP9syFWbx4yD5hgPZAJrim+P07Y+3rQIaRg0fxZiiizMH9RCtDwDkyewyKKWGEfBq3PFMkVdoUSIKF6GQqbrH71yXahF5c9RtBcVK7B1NQM5N6P9GSl6Vfq5xS1d1A95CPOVlg65mDFonluc6nU8xdhBZrRZLqWAI0fy1XkQ7g/Q+nOyyjbnQttklLHlHJL908/tk5ofhvnem5MUXvfQHddKUotGdi/4yuYrRRbPk5gPfTXojIa+vZJ4FYsLTzJe2cVRtsJu/US/sjje10IPjOhwHgkoF6ItXW/xN7MBW43rfFWxWl7H4efO4SOwko8oZsnruCUH0J85hXoIcTWiKL8enR5zIeEsx8tlQ8HnkcUtD5jD0fjlstnAgqcWAK3Ieuhe5Hiy7I7r6L3wnWkpd4Gq2L+o/vcsQjae0L1EHBe7sUFv8vsrbjQe9VtHubEcqbcvQg4/4Tmf6iFZdSmecUIMeBDWPrsEbT3n9BYtB21XZ7zeV2r5LMDzjmfBc3aQzizdw0EX9cQn76YwHroB0mI7UrRRgk4bUbsLa1CKwTodmzASrcn+NFodBD3BJIgCEnh18LZhdpsDWZo7sOOs3dj57Z7JMNkR5/lw/DyFR7EnvxelBQ3KJzG6zDXlKE+pQK7M7lD6u8TrD4RyKUocqa2FD31ORAUYXQYTQIj6D99BLs6voFt2Yt9P8yIPSMfw95QgZJ37sAPjFYw5kB3xVwc/2YlGvtdC0diUw+lns8IkZEeRggwQHJnjxEv196C3If/DgsCehauURNvW6B8WImkve/Ahj3r0VNSpnAaee/nURTUL8Lh3boAIz1qJAl/Bf8WPhK5FPBmalHa8xJyhJmKwNg/DNissS9+bEjI91TaJS6TtwG6nah+LD2AwsWGzCTFFBGQhhMZG4b1+GK8sSoLjzZeirBnZBaEzArUcaex5DT6nYPoqv0RKq8VYH/BctLFKWrqySvWCXvXL1C5/T9QcLwCGxYopzR4SmHDr2fl4sU9cg+KGknLHkD+xt9i+wvnQljt75mf8jfpoZJGYh3fQM+5t9GsexibV84NUnU1knXbcGRtM57db5R2FRmBrV2PA69ewb1BUodyWi2swZ66jegpeQqN/Tdg72pAceUgyvd/B8v8DpWHknNixyGHMcL2d3cWn4bxRHGAuRsRFkbJpxEBfnMtxu6yW1D7shE9ziQsTF0cQf14fj/E4a82Y+vq9Sjp2Yi6UacggmwRqVyRlE1pgxPgzmIDijOrgT0/QWUIUyWEFYsw383yu9rYNfcx0vaeKD1UI2lhCtKCA6EYU0HA2Ytzr55HVu5afCkUh0x9J3IOn0Dl3OPQzuDb8KzD851fxjOHc5GExUhdmBxxe6uF1ag8/CW8vnUt1pX0Ir+uAplCoIepUMAlth66mY1QcFGcMQJKZ1HIq0Pnmd1RUMix/OkoQQh09KDPPlNc3OI9TCMxmLJ5sf6Gj6ZargTRjYDV5L0yP5WcxV/gaGGQ3uTkLyI7VxswR754jy+yij09BMTFLX4F03gthglSUTodRQLOnl/j1WbvBUkBi0haijWl9bAyBsaacCA/HbOtYwv/YrW9Y1WugKyjdJIcxnBB2ttRMzoMXYMzR3OpqztcltM9nTRv0d8G34K4anWm64naa3GLNK8nLQULAz65j6C/8SmxZ/GE8XUcTjGgYNfZKGwiLz1Rhy3XdG/cKaqfuKBpHTSr3sD8I6eCO4uimMlIXfUVHyvu+TzVfujWLIdGHWl7T5QeAkjSIDXtutfiFtciBN4r5X/m2RS1UoIUKw1HC1nITg82HO1C4uyuRbbXhtguWze6ij/C9nb2n0YJ71k88RbOHF6E+oJ9aBE3eI+wWSKUK8LSpzY535YoXva/C2ULpcmJo9hzke+76PWnY1Um2rp7vG0Rd3oYdN87mYCDDZlqmG50z04ePsysxqfdw8TNbJczIa+OdYqb2Ya6cbcrr6zRdDz/AdapL2GFoxs0y7IE+PZXn7DlClBWDJ+KfT2U9rrDclZo6HXbkzAoVq9NlSUdW6LY8Dvs9p5gPZT3ulVcR+PduDsonxiKEPt6KMNy7eM5un+iHBzoW9rLUFfRzKzintjDzGo6xsqyShQbz0v32TDaW9wEPGubtEcyF4RvxF3HCgtl2xpIOPmcaw9cvxt3hyGXnHM8fSv1kDbuDqvl/sgMeUt8OIqy80gOYzhYlYoZTvpJT+PXwXJtrOxuaLhBNLCq0bcDCUxXpmdGi/IdMQ42ZDEyPX8DjPwQIuSxKoNJMqp+amg1sEI3Z1GK5+hjxootob8lxl99uLENRy4/4sZ6cKzroWtjbdnW+PiWN7GW2tNdDxljQxbWXJXnevEAwIS8GtYcF3rokt2oL2M6+frAcpZXZZDejBTrmjU++WJdD8dqE8xhlBwvxUsKeFrXRu2yreP2UH7D1VjOXFfH395/ZIbCYoWzKOcnPdCE8GYuVwp/DmPi6qGKg+Hv23R1NE5tbyeVntgESA8Tu/1jpfakh7HSEoktB+lhYrd/rNReqYc0hzFWWoXkIAJEgAgQASJABIhAjBIghzFGG4bEIgJEgAgQASJABIhArBAghzFWWoLkIAJEgAgQASJABIhAjBIghzFGG4bEIgJEgAgQASJABIhArBAghzFWWoLkIAJEgAgQASJABIhAjBJQSdt3xKh4JBYRIAJEgAgQASJABIjAVBLgO+nM5P+Uy6anUiAqO7EJkB4mdvvHSu1JD2OlJRJbDtLDxG7/WKm9Ug9pSDpWWoXkIAJEgAgQASJABIhAjBIghzFGG4bEIgJEgAgQASJABIhArBAghzFWWoLkIAJEgAgQASJABIhAjBIghzFGG4bEIgLTh8AIbC0/RkZ+I2zTp1JUk7gjQHoYd01GAscUAXIYY6o5SBgiMM0IOG0w1+/GltVPo3WaVY2qE0cESA/jqLFI1FglQA5jJC1j70ZLbTkyVCpxpbkqoxz1ZhuckeRJaWOcwCC6W2pRnqFxtblKBU3+IZztHgwut3jTCqwvTls76suzR/PmOlX7uhm2SVGq6zBXPwhNeQs8axNQrptmVKdI14B8LfDvlGqYbwL47GYca6vCkuCEKEbIBBJTD+F5DamyUV77Jsy2EQB2mKszxq6dUV3MQLX5z6SHIetWrEV0wt7dhOr8NKlt05Bf3YRu+3iMon/bBozAZm5Q2PRslNe3T5LNjTXWgeUhhzEwH/9nnZfQWLIRq4sOjvWctB5EQXoBdrX0k9Pon1wcnxlBf2MldFvfw/wDZjgYA3NYcXrFBeTrKtHYz29afj5cXx7dghccuTjD07EBWB6fgbr0EtR133Alcl7C6V3fRx22wmQdBmPDsB74PN773jY833rVT8bRCh5EV/0+VP7Tee8Mg8k1U4vSHl4nj7+eUmhnCdA+qIUwwztbCgmXQILqIUbQf/o5rKsDCkxW8fpzWJ/C/PcqsO75cxhEErSl73rrIXsXpV9OIT0MV92mOJ2z/zRKdDW4sv4UhriNGTqF9VdqkLruMMwhOY0BbBvXqcYd+NoLTjxypg+MOTBk2QbUbUFBXRfdxz3bnnErD36N0Wc8BBwWPcsCGPAAqzJ9xJijlxkKl4sskWdg1vFkRnFFAjGvh45Ops8SmFBmZAPKNvMXPhrHwQaMFUwQKphxwDEaytgVZizTjubn0qlNTG/5RBHnE2bRbxqNozgRtUOHtY3VlRWzqrZzPusXDbn+YqpiS+LkuiA95LYt9vSQidfZEpal72TKq0jUT69ry/flQXrom0vshrrbSFlOl03SsjLjFTnI53cw28YGjKxM8MzHn732WcS0D1TaQ+ph9PSgQ/rtxMdYhIfKsoCsHHzrS3OAj4dwnQ+/QYAubSFmh5QPRYorAuplKGyywnogE8k+BLdd6MVln6Mk12BqagZy70d6svKSm4fMAyYpPyfsfT3oEFKwaP4sRe6zMH9RCtDwDkyDPjNXxA3j0NmFuoJnYMmuwI70z/rIYIrk8iEJBUkEElIP+YizFZaOOVixaB6UV5F6/iKsQDOaTNdIRaYdAaWNHGflQrBtg6Z30IAsZKfPVWSuRnLmXlite5HpZq8VURL0UHndJSiCcKqtRtLSTBQeaAJrKsTi/1uNlNlpKDr239CVHcHLj6UjKZxsKU0cE7gNWQ/dixRfV5TzKnovXEda6m2wKuY/us99HMHl3h7/q4htPei97GfI29aIovx6dHkOzzj70VL5MMpbAgxnqxdibd0vsTdzgdtNeKwhIpBrLBM6mjQC01UPAeflXlzwu8zeigu9V2kIcdL0bOoKctrex+HnDqGjsBJP6Ob5FyRU25b2P3G7tRW18txxTT6qz3bD7j/nhD3j6/aWsDDCq/hNXLnUgw/ExDa0tptw0UqqFh7LeEzF51Udwa6Ob2Bb9mLfTpfYM/Ix7A0VKHnnDvzAaBXnynRXzMXxb8pzH+3os3wYHgDhQezJ70VJcYPCabwOc00Z6lMqsDszgFFFEgQh0ONNBHIpajNTW4qe+hwIijA6jCaB6a6HUk93hMhIDyMEOJXJnV2ozdZghuY+7Dh7N3ZuuwdCQA8mRNtmP4HSkn/Foh+ccc1/7d6Juce3oaTxEj2AeLR3QNwecemnTwIzIeS8JC5i6NQXQmjdh43b9CFOxvWZIQXGDQEn7F2/QOX2/0DB8QpsWKAcSvashA2/npWLF/eskYycGknLHkD+xt9i+wt8wn4kn1kQMitQx53GktPodw6iq/ZHqLxWgP0Fy6m3OxK0cZGW9DAumomEjIyANBVDXAx4fDHeWJWFR6Ph1P36c8h9sRyZgmS/k/4G386/B29tfxmtEzENKDIKU5qaHMao4U/Gsm8/jFzehdL6Bt61fBy1nCmjWCTAb9INKM6sBvb8BJV+h3THZBdWLMJ8tysuCQtTF8M199F1PBZ7vEfcafwhDn+1GVtXr0dJz0bUjTqn481LGT9SuZR50XH0CSSKHqqRtDAFadEHSDnGHQFu64qxu+wW1L5sRE+kU7u95o1LuhZoGlDcMYuOwG63r+hkmQi58B6cImj4Hnw+9qxLBAKJXccR2Np/KjmLv8DRwiC9eMlfRHauNggy1+IWv0O2XkYtSHZROx2rckWtgnGcUSLpISAubvF7gWi8FsPEccOS6KES6OhBn+fc7VDTYi7Ss7NomkzIvOB7ytU40ido1FlQY0hcoGBr+Dle6+IDioPoeu3naOCTsoV7cPf/ui1B2UzzaosLSdZBs+oNzD9yKrizKOJIRuqqr/hY6cznB/ZDt2Y5NGp/T7XSopO0FCxMCvR8x/cTe0rsWTxhfB2HUwwo2HU2CpvPRirXNNeHqapewukhgCQNUtOuey1ucS2GWYzUhYHm4k5VQ1G5ERGQ5i3665gRvHaeGE9paiSlpmOt1wp7ab6s7h78rSbQNKPxlDVN4vJNhJT77Ez7TYWiVcGhNlalE1z7Lor7MfI9GfnfclZo6HXbJyxaRU73fGJfDz9ipqoHwmtjUV+WMF1VGxsSG3KYWduOsLwlxczQN+xqWmkvTyGvjnUO8Z3mpDhe+4R5asIwsxqfZlmj6fj5AdapL2GF+g6pPM80Pn77208ybLl8lBEHQaSHrj1lY04P2TDrMxQzQShk+k7XTqgO6zlWk7d8QvcpnSqVjX09nAwyDjZkqmE6RZuLdtH4tEdYEFn82TYm2XRdDTOJNpcxl07p6D4uIVXqobhjtzIgCHY6rSQwZGHNVXlMkB1GXRmrM1nJWVQyGsdxrOuha7NY+cHAx7e8ebBknCD/lhl46IuQV8OaLcotwB1syGJk+rKssQcRIY9VGUzMqtypWM5P/rYaWKGbsyidcPQxY8WWoJvbytm4Nkb2sTE5C1Ou0Yzj64D0MMz2nnA9ZIwNWZhRX8Z0ss3FcpZXZWAmq/TQFV+qFlDaWNfDgMJH9eQws5oMrCpPejEGBKYr0zOj0nb6s7myHH4dRh5hgFmaa1ieINl0bnObLaE/aMtlTNNvpR6qeB1VKpW4nHyadJpSNeKUAOlhnDbcNBOb9HCaNWicVof0ME4bbpqJrdTDQJOiplm1qTpEgAgQASJABIgAESAC4RAghzEcapSGCBABIkAEiAARIAIJRIAcxgRqbKoqESACRIAIEAEiQATCIUAOYzjUKA0RIAJEgAgQASJABBKIADmMCdTYVFUiQASIABEgAkSACIRDQMWXTIeTkNIQASJABIgAESACRIAITH8CfMvuma59u6d/ZamGRIAIEAEiQASIABEgAuERoCHp8LhRKiJABIgAESACRIAIJAwBchgTpqmpokSACBABIkAEiAARCI8AOYzhcaNURIAIEAEiQASIABFIGALkMCZMU1NFiQARIAJEgAgQASIQHoH/Dw66/lwPavH1AAAAAElFTkSuQmCC"></p>
</div>
<div class="specification">
<p>Menthol is an organic compound containing carbon, hydrogen and oxygen.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline how this spectrum is related to the energy levels in the hydrogen atom.</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>A sample of magnesium has the following isotopic composition.</p>
<p><img src="data:image/png;base64,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"></p>
<p>Calculate the relative atomic mass of magnesium based on this data, giving your answer to <strong>two</strong> decimal places.</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>Complete combustion of 0.1595 g of menthol produces 0.4490 g of carbon dioxide and 0.1840 g of water. Determine the empirical formula of the compound showing your working.</p>
<div class="marks">[3]</div>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>0.150 g sample of menthol, when vaporized, had a volume of 0.0337 dm<sup>3</sup> at 150 °C and 100.2 kPa. Calculate its molar mass showing your working.</p>
<div class="marks">[2]</div>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the molecular formula of menthol using your answers from parts (d)(i) and (ii).</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the order of reaction with respect to Cl<sub>2</sub> and NO.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the rate expression for the reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the value of the rate constant at 263 K.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.iii.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>electron transfer/transition between high«er» energy level to low«er» energy level</p>
<p><em><strong>OR</strong></em></p>
<p>electron transitions into first energy level causes UV series</p>
<p><em><strong>OR</strong></em></p>
<p>transition into second energy level causes visible series</p>
<p><em><strong>OR</strong></em></p>
<p>transition into third energy level causes infrared series</p>
<p><em>Accept any of the points shown on a diagram.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>24 x 0.786 + 25 x 0.101 + 26 x 0.113</p>
<p>24.33</p>
<p>Award <strong>[2]</strong> for correct final answer.<br>Award <strong>[0]</strong> for 24.31 with no working (data booklet value).</p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>carbon: «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.4490\,{\text{g}}}}{{44.01\,{\text{g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}}">
<mfrac>
<mrow>
<mn>0.4490</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>g</mtext>
</mrow>
</mrow>
<mrow>
<mn>44.01</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =» 0.01020 «mol» / 0.1225 «g»<br><em><strong>OR</strong></em><br>hydrogen: «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{0.1840 \times 2}}{{18.02\,g\,mo{l^{ - 1}}}}">
<mfrac>
<mrow>
<mn>0.1840</mn>
<mo>×</mo>
<mn>2</mn>
</mrow>
<mrow>
<mn>18.02</mn>
<mspace width="thinmathspace"></mspace>
<mi>g</mi>
<mspace width="thinmathspace"></mspace>
<mi>m</mi>
<mi>o</mi>
<mrow>
<msup>
<mi>l</mi>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span> =» 0.02042 «mol» / 0.0206 «g»</p>
<p>oxygen: «0.1595 – (0.1225 + 0.0206)» = 0.0164 «g» / 0.001025 «mol»</p>
<p>empirical formula: C<sub>10</sub>H<sub>20</sub>O</p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<p><em>Do <strong>not</strong> award M3 for a hydrocarbon.</em></p>
<div class="question_part_label">d.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«temperature =» 423 K<br><em><strong>OR</strong></em><br><em>M</em> <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{{mRT}}{{pV}}">
<mo>=</mo>
<mfrac>
<mrow>
<mi>m</mi>
<mi>R</mi>
<mi>T</mi>
</mrow>
<mrow>
<mi>p</mi>
<mi>V</mi>
</mrow>
</mfrac>
</math></span></p>
<p>«<em>M </em><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{{0.150\,{\text{g}} \times 8.31\,{\text{J}}{{\text{K}}^{ - 1}}\,{\text{mol}}{}^{ - 1} \times 423\,{\text{K}}}}{{100.2\,{\text{kPa}} \times 0.0337\,{\text{d}}{{\text{m}}^3}}} = ">
<mo>=</mo>
<mfrac>
<mrow>
<mn>0.150</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>g</mtext>
</mrow>
<mo>×</mo>
<mn>8.31</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>J</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>K</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mol</mtext>
</mrow>
<msup>
<mrow>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
<mo>×</mo>
<mn>423</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>K</mtext>
</mrow>
</mrow>
<mrow>
<mn>100.2</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>kPa</mtext>
</mrow>
<mo>×</mo>
<mn>0.0337</mn>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>d</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>m</mtext>
</mrow>
<mn>3</mn>
</msup>
</mrow>
</mrow>
</mfrac>
<mo>=</mo>
</math></span>» 156 «g mol<sup>–1</sup>»</p>
<p><em>Award <strong>[1]</strong> for correct answer with no working shown.</em></p>
<p><em>Accept “pV = nRT <strong>AND</strong> n = <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{m}{M}">
<mfrac>
<mi>m</mi>
<mi>M</mi>
</mfrac>
</math></span>” for M1.</em></p>
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>C<sub>10</sub>H<sub>20</sub>O</p>
<p><em><strong>[1 Mark]</strong></em></p>
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Cl<sub>2</sub>:</em> first<br><em>NO:</em> second</p>
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>rate = <em>k</em> [NO]<sup>2</sup> [Cl<sub>2</sub>]</p>
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>180 / 1.80 x 10<sup>2</sup> «dm<sup>6</sup> mol<sup>–2</sup> min<sup>–1</sup>»</p>
<div class="question_part_label">e.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">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.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.iii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.iii.</div>
</div>
<br><hr><br><div class="specification">
<p>When dinitrogen pentoxide, N<sub>2</sub>O<sub>5</sub>, is heated the colourless gas undergoes thermal decomposition to produce brown nitrogen dioxide:</p>
<p style="text-align: center;">N<sub>2</sub>O<sub>5 </sub>(g) → 2NO<sub>2 </sub>(g) + <math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mn>1</mn><mn>2</mn></mfrac></math>O<sub>2 </sub>(g)</p>
</div>
<div class="specification">
<p>Data for the decomposition at constant temperature is given.</p>
<p style="text-align: center;"><img 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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how the extent of decomposition could be measured.</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>Plot the missing point on the graph and draw the best-fit line.</p>
<p style="text-align:center;"><img 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"></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>Outline why increasing the concentration of N<sub>2</sub>O<sub>5</sub> increases the rate of reaction.</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>Write the rate expression for this reaction.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the value of the rate constant, <em>k</em>, giving its units.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>use colorimeter<br><em><strong>OR</strong></em><br>change in colour<br><em><strong>OR</strong></em><br>change in volume<br><em><strong>OR</strong></em><br>change in pressure ✔</p>
<p><em>Accept suitable instruments, e.g. pressure probe/oxygen sensor.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p>point correct ✔</p>
<p>straight line passing close to all points <em><strong>AND</strong> </em>through origin ✔</p>
<p><em><br>Accept free hand drawn line as long as attempt to be linear and meets criteria for M2.</em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>greater frequency of collisions «as concentration increases»<br><em><strong>OR</strong></em><br>more collisions per unit time «as concentration increases» ✔</p>
<p><em><br>Accept “rate/chance/probability/likelihood” instead of “frequency”.</em></p>
<p><em>Do <strong>not</strong> accept just “more collisions”.</em></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>rate = <em>k</em>[N<sub>2</sub>O<sub>5</sub>] ✔</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>k</em> = <math xmlns="http://www.w3.org/1998/Math/MathML" class="wrs_chemistry"><mfrac><mrow><mo>∆</mo><mi>rate</mi></mrow><mrow><mo>∆</mo><mfenced open="[" close="]"><mrow><msub><mi mathvariant="normal">N</mi><mn>2</mn></msub><msub><mi mathvariant="normal">O</mi><mn>5</mn></msub></mrow></mfenced></mrow></mfrac></math> ✔</p>
<p>«<em>k</em> = <math class="wrs_chemistry" xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mn>0</mn><mo>.</mo><mn>75</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo> </mo><msup><mi>min</mi><mrow><mo>-</mo><mn>1</mn></mrow></msup><mo>»</mo></mrow><mrow><mn>25</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>«</mo><mi>mol</mi><mo> </mo><msup><mi>dm</mi><mrow><mo>-</mo><mn>3</mn></mrow></msup><mo>»</mo></mrow></mfrac></math>= » 0.030 «min<sup>–1</sup>» ✔</p>
<p>min<sup>–1</sup> ✔</p>
<p><em><br>M1 can be awarded from correct M2 if not explicitly stated.</em></p>
<p><em>Accept k = gradient.</em></p>
<p><em>Accept values in the range 0.028–0.032.</em></p>
<p><em>Award <strong>[3]</strong> for correct final answer.</em></p>
<div class="question_part_label">b(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.</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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b(iv).</div>
</div>
<br><hr><br><div class="specification">
<p>Oxygen exists as two allotropes, diatomic oxygen, O<sub>2</sub>, and ozone, O<sub>3</sub>.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw a Lewis (electron dot) structure for ozone.</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>Discuss the relative length of the two O−O bonds in ozone.</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>Explain why there are frequencies of UV light that will dissociate O<sub>3</sub> but not O<sub>2</sub>.</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, using equations, how the presence of <math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub></math> results in a chain reaction that decreases the concentration of ozone in the stratosphere.</p>
<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 src="data:image/png;base64,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" width="437" height="78">✔</p>
<p><em>Accept any combination of lines, dots or crosses to represent electrons.</em></p>
<p><em>Do <strong>not</strong> accept structures that represent 1.5 bonds.</em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>both equal ✔</p>
<p>delocalization/resonance ✔</p>
<p><em><br>Accept bond length between 121 and 148 pm/ that of single O−O bond and double O=O bond for M1.</em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>bond in O<sub>3</sub> is weaker<br><em><strong>OR</strong></em><br>O<sub>3</sub> bond order 1.5/< 2 ✔</p>
<p><em><br>Do <strong>not</strong> accept bond in O<sub>3</sub> is longer for M1.</em></p>
<p><br>lower frequency/longer wavelength «UV light» has enough energy to break the O–O bond in O<sub>3</sub> «but not that in O<sub>2</sub>» ✔</p>
<p><em><br>Accept “lower frequency/longer wavelength «UV light» has lower energy”.</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>CCl</mtext><mtext>2</mtext></msub><msub><mtext>F</mtext><mtext>2</mtext></msub><msub><mtext>(g) →∙CClF</mtext><mtext>2</mtext></msub><mtext>(g) Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>
<p><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>Cl•(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→O</mtext><mtext>2</mtext></msub><mtext>(g)+ClO•(g)</mtext></math><br><em><strong>AND</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>ClO∙(g)+O</mtext><mtext>3</mtext></msub><msub><mtext>(g)→2O</mtext><mtext>2</mtext></msub><mtext>(g)+Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math> ✔</p>
<p><em><br>Do <strong>not</strong> penalize missing radical.</em></p>
<p><em>Accept:for M2:</em><br><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>Cl∙(g) + O</mtext><mtext>3</mtext></msub><msub><mtext>(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + ClO</mtext><mo>∙</mo><mtext>(g)</mtext></math><br><em><strong>AND</strong></em><br><math xmlns="http://www.w3.org/1998/Math/MathML"><msub><mtext>ClO∙(g) + O(g) → O</mtext><mtext>2</mtext></msub><mtext>(g) + Cl</mtext><mo>∙</mo><mtext>(g)</mtext></math></p>
<div class="question_part_label">c.</div>
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<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>
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<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
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<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
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<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
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