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</div><h2>HL Paper 3</h2><div class="specification">
<p>A polarimeter can be used to determine the optical rotation of an optically active substance.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Describe what happens to plane-polarized light when it passes through a solution of an optically active compound.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A mixture of enantiomers shows optical rotation.</p>
<p>Suggest a conclusion you can draw from this data.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>plane of polarization is rotated</p>
<p> </p>
<p><em>Award zero if answer refers to plane-polarized light being bent.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>not a racemic mixture<br><em><strong>OR</strong></em><br>two enantiomers not equimolar<br><em><strong>OR</strong></em><br>mixture contains optically active impurity<br><em><strong>OR</strong></em><br>relative proportions of enantiomers in mixture can be determined</p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="question">
<p>(i) Identify the <strong>two </strong>reagents used to form the electrophile in the nitration of benzene.</p>
<p> </p>
<p> </p>
<p>(ii) Explain, using curly arrows to represent the movement of electrons, the mechanism for this reaction.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>(i) \({{\text{H}}_2}{\text{S}}{{\text{O}}_4}\)/sulfuric acid <strong>and </strong>\({\text{HN}}{{\text{O}}_3}\)/nitric acid;</p>
<p>(ii) <img src="images/Schermafbeelding_2016-08-15_om_16.48.41.png" alt="M14/4/CHEMI/HP3/ENG/TZ2/24.a.ii/M"></p>
<p>curly arrow going from delocalized electrons in benzene to \(^ + {\text{N}}{{\text{O}}_2}\);</p>
<p><em>Do not penalize if NO</em><em><sub>2</sub><sup>+ </sup></em><em>is written.</em></p>
<p>representation of carbocation with correct formula <strong>and </strong>positive charge on ring;</p>
<p>curly arrow going from CH bond to benzene ring cation;</p>
<p>formation of organic product nitrobenzene <strong>and</strong> \({{\text{H}}^ + }\);</p>
<p><em>Allow mechanism with corresponding Kekulé structures.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p>Q27 was well answered by most candidates although some need to take care with the placement of the delocalized positive charge in the intermediate.</p>
</div>
<br><hr><br><div class="specification">
<p class="p1">Chirality plays an important role in the action of drugs.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Using an asterisk (*), identify the chiral carbon atom in the structure of thalidomide.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-11-03_om_10.30.46.png" alt="N11/4/CHEMI/HP3/ENG/TZ0/D4.a"></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 class="p1">Describe the composition of a racemic mixture.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2016-11-03_om_10.32.03.png" alt="N11/4/CHEMI/HP3/ENG/TZ0/D4.a/M"> ;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1"><span style="text-decoration: underline;">equimolar/50:50</span> mixture (of a pair) of enantiomers/both isomers;</p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">Identification of the chiral carbon atom was generally well done.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Some were not able to describe the composition of a racemic mixture correctly by not mentioning an equimolar (50:50) mixture.</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="question">
<p class="p1">Identify the organic product in the following reaction.</p>
<p class="p1">\[{{\text{C}}_6}{{\text{H}}_6} + {\text{HN}}{{\text{O}}_3}\xrightarrow{{{{\text{H}}_2}{\text{S}}{{\text{O}}_4}}}\]</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p class="p1">nitrobenzene / \({{\text{C}}_6}{{\text{H}}_5}{\text{N}}{{\text{O}}_2}\) / <img src="images/Schermafbeelding_2016-09-26_om_14.27.13.png" alt="N10/4/CHEMI/HP3/ENG/TZ0/G1.d/M">;</p>
<p class="p1"><em>Accept multiple substitution products.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p class="p1">Nitrobenzene was usually easily identified in (d).</p>
</div>
<br><hr><br><div class="question">
<p>Vision is dependent on retinol (vitamin A) present in retina cells. Retinol is oxidized to the photosensitive chemical 11-<em>cis</em>-retinal and isomerizes to 11-<em>trans</em>-retinal on absorption of light.</p>
<p>Outline how the formation of 11-<em>trans</em>-retinal results in the generation of nerve signals to the brain.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>11-<em>trans</em> retinal no longer fits into the rhodopsin/protein<br><em><strong>OR</strong></em><br>11-<em>trans</em> retinal is ejected from the rhodopsin/protein</p>
<p>leads to conformational change in rhodopsin/protein «to opsin generating signals»</p>
<p><em><strong>[2 marks]</strong></em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="question">
<p class="p1">The action of a drug molecule often depends on its shape. Discuss a specific example of a drug where one stereoisomer has a different physiological activity to the other.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p class="p1">one enantiomer/isomer of thalidomide relieves nausea/morning sickness;</p>
<p class="p1">other enantiomer/isomer of thalidomide causes foetal deformities;</p>
<p class="p1"><strong>OR </strong></p>
<p class="p1">one enantiomer/isomer of taxol is an anti-cancer drug;</p>
<p class="p1">other enantiomer/isomer of taxol is ineffective;</p>
<p class="p1"><strong>OR </strong></p>
<p class="p1"><em>cis</em>-isomer of diamminedichloroplatinum(II)/cisplatin is an anti-cancer drug;</p>
<p class="p1"><em>trans</em>-isomer is ineffective;</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p class="p1">Whilst a drug in which stereochemistry was important was well known (usually Thalidomide), the other two parts of the question were poorly answered in very vague terms. Few seemed to realize the importance of the 3D modelling of the drug and its active site or to have grasped the concept that combinatorial chemistry involved the random ordering of specific chemical building blocks.</p>
</div>
<br><hr><br><div class="specification">
<p class="p1">Different conventions are used to classify enantiomers. Orange and lemon peel each contain different enantiomers of the compound limonene. One of the enantiomers is represented below.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-10-03_om_15.38.39.png" alt></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">Identify the chiral centre in this enantiomer with an asterisk, *.</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 class="p1">The \(( + )d\)-enantiomer has the characteristic smell of oranges and the \(( - )l\)-enantiomer has the characteristic smell of lemons. Explain the meaning of the \(( + )d\) and \(( - )l\) symbols used in this notation.</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 class="p1">The R, S notation is also used. The \(( + )d\)-enantiomer is often described as R-limonene and the \(( - )l\)-enantiomer as S-limonene. Explain what is meant by the R, S notation and state whether the structure shown is R or S.</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="images/Schermafbeelding_2016-10-03_om_19.15.45.png" alt="N09/4/CHEMI/HP3/ENG/TZ0/F3.a/M"></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">dextro/\(d\)<em> </em>and levo/\(l\)<em> </em>refer to right and left-handed / clockwise and anti-clockwise rotation of <span style="text-decoration: underline;">plane polarized</span> light;</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">clockwise and anti-clockwise sequence of prioritized atoms (working from high to low atomic numbers) / <em>OWTTE</em>;</p>
<p class="p1"><em>Allow absolute configuration of enantiomers.</em></p>
<p class="p1"><em>Allow convention for labelling chiral carbon atoms using the Cahn-Ingold-Prelog </em><em>notation.</em></p>
<p class="p1">S;</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">In (a), surprisingly a number of students were not able to identify the chiral centre.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">Although some knew what \(d\)<em> </em>and \(l\)<em> </em>referred to, a number did not refer to plane-polarized light.</p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">R and S notation was not understood and only the best candidates were able to determine the structure as S. Some simple class exercises on chiral centres, \(d\)<em> </em>and \(d\)<em> </em>notation and R and S notation using a number of simple molecules would greatly improve student understanding of this topic.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p class="p1">The structure below shows –(<em>l</em>)-carvone.</p>
<p class="p1" style="text-align: center;"><img src="images/Schermafbeelding_2016-09-26_om_11.40.19.png" alt="N10/4/CHEMI/HP3/ENG/TZ0/F5"></p>
<p class="p1">–(<em>l</em>)-carvone has another optical isomer.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p class="p1">State its name and, by means of a diagram, predict its structure.</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 class="p1">Describe the structural feature of the carvone molecule that allows it to exist as optical isomers.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1"><em>Name</em>:</p>
<p class="p1">+(<em>d</em>)-carvone/s-carvone/(+)-(S)-carvone / dextro-carvone;</p>
<p class="p1"><em>Structure</em>:</p>
<p class="p1" style="text-align: left;"><img src="images/Schermafbeelding_2016-09-26_om_13.32.17.png" alt="N10/4/CHEMI/HP3/ENG/TZ0/F5.a/M"> ;</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">asymmetric/chiral carbon / <em>OWTTE</em>;</p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p class="p1">This question was reasonably well answered.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p class="p1">This question was reasonably well answered</p>
<div class="question_part_label">b.</div>
</div>
<br><hr><br><div class="specification">
<p>Amino acids, shown in section 33 of the data booklet, can be combined to form polypeptides and proteins.</p>
</div>
<div class="question">
<p>(i) Serine is a chiral amino acid. Draw both enantiomers of serine.</p>
<p>(ii) State the enantiomeric form of serine found in proteins.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>(i)<br><img 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" alt></p>
<div class="page" title="Page 15">
<div class="section">
<div class="layoutArea">
<div class="column">
<p><em>Accept un-ionized or zwitterionic forms.</em><br><em> Accept any other correct representation which clearly indicates 3-dimensional structure at chiral centre.</em><br><em> Accept Fischer projections with the chiral carbon atom represented by crossing lines or shown as C.</em></p>
</div>
</div>
</div>
</div>
<p>(ii)<br>L</p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
[N/A]
</div>
<br><hr><br><div class="specification">
<p class="p1">Methylbenzene can be prepared from benzene and iodomethane.</p>
</div>
<div class="question">
<p class="p1">Methylbenzene reacts when heated with a mixture of concentrated sulfuric acid and concentrated nitric acid.</p>
<p class="p1">(i) Name the major organic products formed.</p>
<p class="p1">(ii) Identify the electrophile in this reaction and explain how it is formed.</p>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question">
<p>(i) 1-methyl-2-nitrobenzene <strong>and </strong>1-methyl-4-nitrobenzene;</p>
<p><em>Accept 2-methylnitrobenzene </em><strong><em>and </em></strong><em>4-methylnitrobenzene.</em></p>
<p><em>Accept 2-nitromethylbenzene </em><strong><em>and </em></strong><em>4-nitromethylbenzene</em>.</p>
<p><em>Accept o-methylnitrobenzene </em><strong><em>and </em></strong><em>p-methylnitrobenzene.</em></p>
<p>(ii) \({\text{NO}}_2^ + \) / nitronium ion;</p>
<p>the (concentrated) sulfuric acid protonates the nitric acid /</p>
<p>\({\text{HN}}{{\text{O}}_3} + {{\text{H}}_2}{\text{S}}{{\text{O}}_4} \to {{\text{H}}_2}{\text{NO}}_3^ + + {\text{HSO}}_4^ - \);</p>
<p>the \({{\text{H}}_{\text{2}}}{\text{NO}}_3^ + \) formed loses water / \({{\text{H}}_2}{\text{NO}}_2^ + \to {{\text{H}}_2}{\text{O}} + {\text{NO}}_2^ + \);</p>
<p><em>Accept HNO</em><em><sub>3</sub></em><em> + H</em><em><sub>2</sub></em><em>SO</em><em><sub>4 </sub></em>\( \to \) <em>NO</em><em><sub>2</sub><sup>+</sup></em><em>H</em><em><sub>2</sub></em><em>O + H</em><em><sub>2</sub></em><em>SO</em><em><sub>4</sub><sup>–</sup></em> <em>for the second and third points.</em></p>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question">
<p class="p1">Candidates often named the products but had difficulty in the formation of the electrophile. The charge for \({\text{NO}}_2^ + \) was often omitted.</p>
</div>
<br><hr><br><div class="specification">
<p>Amino acids are the building blocks of proteins.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Draw the structures of the main form of glycine in buffer solutions of pH 1.0 and 6.0.</p>
<p>The p<em>K</em><sub>a</sub> of glycine is 2.34.</p>
<p><img src="data:image/png;base64,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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Calculate the pH of a buffer system with a concentration of 1.25 × 10<sup>−3</sup> mol dm<sup>−3</sup> carbonic acid and 2.50 × 10<sup>−2</sup> mol dm<sup>−3</sup> sodium hydrogen carbonate. Use section 1 of the data booklet.</p>
<p>p<em>K</em><sub>a</sub> (carbonic acid) = 6.36</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>Sketch the wedge and dash (3-D) representations of alanine enantiomers.</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>UV-Vis spectroscopy can be used to determine the unknown concentration of a substance in a solution.</p>
<p>Calculate the concentration of an unknown sample of pepsin with an absorbance of 0.725 using section 1 of the data booklet.</p>
<p>Cell length = 1.00 cm</p>
<p>Molar absorptivity (extinction coefficient) of the sample = 49650 dm<sup>3</sup> cm<sup>−1</sup> mol<sup>−1</sup></p>
<div class="marks">[1]</div>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>A different series of pepsin samples is used to develop a calibration curve.</p>
<p> <img 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"></p>
<p>Estimate the concentration of an unknown sample of pepsin with an absorbance of 0.30 from the graph.</p>
<div class="marks">[1]</div>
<div class="question_part_label">g.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><img src="images/Schermafbeelding_2018-08-08_om_18.45.38.png" alt="M18/4/CHEMI/HP3/ENG/TZ2/08.c/M"></p>
<p> </p>
<p><em>Penalize charge on incorrect atom once </em><em>only.</em></p>
<p><em>Penalize missing hydrogens or incorrect </em><em>bond connectivities once only in Option </em><em>B.</em></p>
<p><em>Accept condensed structural formulas.</em></p>
<p><em>Accept skeletal structures.</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><strong><em>ALTERNATIVE 1</em></strong></p>
<p><strong>«</strong>pH = 6.36 + log \(\left( {\frac{{2.50 \times {{10}^{ - 2}}}}{{1.25 \times {{10}^{ - 3}}}}} \right)\) =<strong>»</strong></p>
<p>7.66</p>
<p><strong><em>ALTERNATIVE 2</em></strong></p>
<p><strong>«</strong><em>K</em><sub><em>a </em></sub>= 4.4 × 10<sup>–7</sup> = [H<sup>+</sup>] \(\left( {\frac{{2.50 \times {{10}^{ - 2}}}}{{1.25 \times {{10}^{ - 3}}}}} \right)\), [H<sup>+</sup>] = 2.2 × 10<sup>–8</sup> mol dm<sup>–3</sup><strong>»</strong></p>
<p><strong>«</strong>pH =<strong>» </strong>7.66</p>
<p> </p>
<p><em>Do </em><strong><em>not </em></strong><em>accept “</em><strong><em>«</em></strong><em>pH =</em><strong><em>» </em></strong><em>8”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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"></p>
<p><em>Penalize missing hydrogens or incorrect bond connectivities once only in Option B.</em></p>
<p><em>Wedges <strong>AND</strong> dashes must be used.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><strong>«</strong>\(\frac{{0.725}}{{49650{\text{ d}}{{\text{m}}^3}\;{\text{c}}{{\text{m}}^{ - 1}}\;{\text{mo}}{{\text{l}}^{ - 1}} \times 1.00\,{\text{cm}}}} = \)<strong>»</strong> 1.46 × 10<sup>−5</sup> «mol dm<sup>−3</sup>»</p>
<p><em><strong>[1 mark]</strong></em></p>
<p> </p>
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>0.65 <strong>«</strong>μg cm<sup>–3</sup><strong>»</strong></p>
<p><em>Accept any value in the range 0.60–0.70 <strong>«</strong>μg cm<sup>–3</sup><strong>»</strong></em></p>
<p><em><strong>[1 mark]</strong></em></p>
<div class="question_part_label">g.</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.</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>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">g.</div>
</div>
<br><hr><br><div class="specification">
<p>In recent years several antiviral medications have been produced. One of these medications is oseltamivir (Tamiflu).</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Identify the functional group circled in the structure of oseltamivir.</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA6QAAAKiCAYAAADBkRF0AAAKqGlDQ1BJQ0MgUHJvZmlsZQAASImVlwdUU1kax+976Y0WiHRCDb13pNdQBOkgKiGhhBJCIKjYlUEFx4KKCFhAhqrAqBRRERHFwiCg2HVABhF1HSyIipp9yBJ2ds/unv2f8533y/fu++73bu495/8AIF9j8fmpsBQAabwsQbC3Gz0yKpqOGwEQwAACIAJ1FjuT7xoU5A8QzV//qo93kdGIbhvN1vr3+/9V0pz4TDYAUBDCcZxMdhrCZ5BoYvMFWQCgOEhec1UWf5a3IywrQBpEuGyWE+e4aZbj5rj7x5jQYHeE7wOAJ7NYgkQASH8geXo2OxGpQ0YjbMrjcHkIWyLsxE5iIfOQkXvAMC0tfZaPIawb9091Ev9SM05ck8VKFPPcu/wQ3oObyU9lrfk/l+N/Ky1VOD+HBhLkJIFP8Ox8yJrVpKT7iZkXtyRwnrmcuZ5mOUnoEzbP7Ez36HnmsDz85lmYEuY6zyzBwrPcLGboPAvSg8X1ealL/MX145lijs/0DJnnBK4Xc55zkkIj5jmbG75knjNTQvwWxriL8wJhsLjnBIGX+B3TMhd6Y7MW5spKCvVZ6CFS3A8n3sNTnOeFicfzs9zENfmpQQv9p3qL85nZIeJns5ANNs/JLN+ghTpB4vUBXBAAWICdFb96dl8B93T+GgE3MSmL7oqckng6k8c2NqSbm5rZADB75ub+0ve0H2cJot1YyG1tBsCxQyQSnVvI+e0B4DQDAGL/Qo6xFwBJJQCulbOFguy53OxWR04yEUgCWaAAVIEm0AVGwBxYAwfgAjyBLwgEoSAKrABskATSgACsAuvAZpAHCsAecACUgKPgOKgBJ8Ep0ArOg0vgKrgJ+sEQeASGwRh4BSbBRzADQRAOokBUSAFSg7QhA8gcsoWcIE/IHwqGoqBYKBHiQUJoHbQVKoAKoRKoHKqFfoXOQpeg69AA9AAagSagd9AXGAWTYVlYBdaBTWBb2BX2g0Ph5XAinAHnwLnwLrgYroBPwC3wJfgmPAQPw6/gKRRAkVA0lDrKCGWLckcFoqJRCSgBagMqH1WEqkA1oNpRPajbqGHUa9RnNBZNRdPRRmgHtA86DM1GZ6A3oHeiS9A16BZ0N/o2egQ9if6OoWCUMQYYewwTE4lJxKzC5GGKMFWYZswVzBBmDPMRi8XSsAysDdYHG4VNxq7F7sQexjZiO7ED2FHsFA6HU8AZ4BxxgTgWLguXhzuEO4G7iBvEjeE+4Ul4Nbw53gsfjefht+CL8HX4Dvwgfhw/Q5AiaBPsCYEEDmENYTehktBOuEUYI8wQpYkMoiMxlJhM3EwsJjYQrxAfE9+TSCQNkh1pKYlL2kQqJjWRrpFGSJ/JMmR9sjs5hiwk7yJXkzvJD8jvKRSKDsWFEk3Jouyi1FIuU55SPklQJYwlmBIciY0SpRItEoMSbyQJktqSrpIrJHMkiyRPS96SfC1FkNKRcpdiSW2QKpU6K3VPakqaKm0mHSidJr1Tuk76uvQLGZyMjoynDEcmV+a4zGWZUSqKqkl1p7KpW6mV1CvUMVmsLEOWKZssWyB7UrZPdlJORs5SLlxutVyp3AW5YRqKpkNj0lJpu2mnaHdpXxapLHJdFL9ox6KGRYOLpuWV5F3k4+Xz5Rvlh+S/KNAVPBVSFPYqtCo8UUQr6isuVVyleETxiuJrJVklByW2Ur7SKaWHyrCyvnKw8lrl48q9ylMqqireKnyVQyqXVV6r0lRdVJNV96t2qE6oUdWc1Lhq+9Uuqr2ky9Fd6an0Yno3fVJdWd1HXahert6nPqPB0AjT2KLRqPFEk6hpq5mguV+zS3NSS00rQGudVr3WQ22Ctq12kvZB7R7taR2GToTONp1WnRcMeQaTkcOoZzzWpeg662boVuje0cPq2eql6B3W69eH9a30k/RL9W8ZwAbWBlyDwwYDhhhDO0OeYYXhPSOykatRtlG90YgxzdjfeItxq/EbEy2TaJO9Jj0m302tTFNNK00fmcmY+ZptMWs3e2eub842LzW/Y0Gx8LLYaNFm8dbSwDLe8ojlfSuqVYDVNqsuq2/WNtYC6wbrCRstm1ibMpt7trK2QbY7ba/ZYezc7Dbanbf7bG9tn2V/yv5PByOHFIc6hxeLGYvjF1cuHnXUcGQ5ljsOO9GdYp2OOQ07qzuznCucn7lounBcqlzGXfVck11PuL5xM3UTuDW7Tbvbu6937/RAeXh75Hv0ecp4hnmWeD710vBK9Kr3mvS28l7r3emD8fHz2etzj6nCZDNrmZO+Nr7rfbv9yH4hfiV+z/z1/QX+7QFwgG/AvoDHS7SX8Ja0BoJAZuC+wCdBjKCMoHNLsUuDlpYufR5sFrwuuCeEGrIypC7kY6hb6O7QR2G6YcKwrnDJ8Jjw2vDpCI+IwojhSJPI9ZE3oxSjuFFt0bjo8Oiq6KllnssOLBuLsYrJi7m7nLF89fLrKxRXpK64sFJyJWvl6VhMbERsXexXViCrgjUVx4wri5tku7MPsl9xXDj7ORPxjvGF8eMJjgmFCS8SHRP3JU4kOScVJb3munNLuG+TfZKPJk+nBKZUp4hSI1Ib0/BpsWlneTK8FF53umr66vQBvgE/jz+cYZ9xIGNS4CeoyoQyl2e2Zcki5qZXqCv8STiS7ZRdmv1pVfiq06ulV/NW967RX7NjzXiOV84va9Fr2Wu71qmv27xuZL3r+vIN0Ia4DV0bNTfmbhzb5L2pZjNxc8rm37aYbinc8mFrxNb2XJXcTbmjP3n/VJ8nkSfIu7fNYdvR7ejt3O19Oyx2HNrxPZ+Tf6PAtKCo4OtO9s4bP5v9XPyzaFfCrr7d1ruP7MHu4e25u9d5b02hdGFO4ei+gH0t++n78/d/OLDywPUiy6KjB4kHhQeHi/2L2w5pHdpz6GtJUslQqVtpY5ly2Y6y6cOcw4NHXI40HFU5WnD0yzHusfvl3uUtFToVRcexx7OPP68Mr+z5xfaX2irFqoKqb9W86uGa4JruWpva2jrlut31cL2wfuJEzIn+kx4n2xqMGsobaY0FTaBJ2PTy19hf757yO9V12vZ0wxntM2XN1Ob8FqhlTctka1LrcFtU28BZ37Nd7Q7tzeeMz1WfVz9fekHuwu4OYkduh+hizsWpTn7n60uJl0a7VnY9uhx5+U730u6+K35Xrl31unq5x7Xn4jXHa+ev218/e8P2RutN65stvVa9zb9Z/dbcZ93XcsvmVlu/XX/7wOKBjkHnwUu3PW5fvcO8c3NoydDA3bC79+/F3Bu+z7n/4kHqg7cPsx/OPNr0GPM4/4nUk6Knyk8rftf7vXHYevjCiMdI77OQZ49G2aOv/sj84+tY7nPK86JxtfHaF+Yvzk94TfS/XPZy7BX/1czrvL9J/63sje6bM3+6/Nk7GTk59lbwVvRu53uF99UfLD90TQVNPf2Y9nFmOv+Twqeaz7afe75EfBmfWfUV97X4m9639u9+3x+L0kQiPkvA+mEFUEjACQkAvKsGgBIFALUf8Q8Sc574h6A5H/+DwH/iOd/8Q9YANCCXWSvk3glAExI6LgBIIL9nLVGoC4AtLMTxD2UmWJjP1SIjzhLzSSR6rwIArh2AbwKRaOawSPStEmn2AQCdGXNefFZY5AulAefE9lg20G6yCfyL/g6ASgOXEKUHbQAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAAxppVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPHRpZmY6T3JpZW50YXRpb24+MTwvdGlmZjpPcmllbnRhdGlvbj4KICAgICAgICAgPHRpZmY6WVJlc29sdXRpb24+MTQ0PC90aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpSZXNvbHV0aW9uVW5pdD4yPC90aWZmOlJlc29sdXRpb25Vbml0PgogICAgICAgICA8dGlmZjpDb21wcmVzc2lvbj4xPC90aWZmOkNvbXByZXNzaW9uPgogICAgICAgICA8dGlmZjpQaG90b21ldHJpY0ludGVycHJldGF0aW9uPjI8L3RpZmY6UGhvdG9tZXRyaWNJbnRlcnByZXRhdGlvbj4KICAgICAgICAgPHRpZmY6WFJlc29sdXRpb24+MTQ0PC90aWZmOlhSZXNvbHV0aW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+OTMyPC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjY3NDwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgorYxnFAABAAElEQVR4AezdCXxV5b3o/b+NOaUt2AC1xhaPxIClt5XbQG3x9SQyGIfQqyCDoOfQionAJ3JaZB7KJIQwROxBipGUiq0FowhOVEtJFI5VayFePPeVCjHY0tN4vJHcaj2+J5/cvvu/ydqsPa09772G3/p8MGuvvYbn+T6PyfqvZ1jn/c23CAsCCCCAAAIIIIAAAggggAACWRb4VJavx+UQQAABBBBAAAEEEEAAAQQQ8AsQkFIREEAAAQQQQAABBBBAAAEEciJAQJoTdi6KAAIIIIAAAggggAACCCBAQEodQAABBBBAAAEEEEAAAQQQyIkAAWlO2LkoAggggAACCCCAAAIIIIAAASl1AAEEEEAAAQQQQAABBBBAICcCBKQ5YeeiCCCAAAIIIIAAAggggAACBKTUAQQQQAABBBBAAAEEEEAAgZwIEJDmhJ2LIoAAAggggAACCCCAAAIIEJBSBxBAAAEEEEAAAQQQQAABBHIiQECaE3YuigACCCCAAAIIIIAAAgggQEBKHUAAAQQQQAABBBBAAAEEEMiJAAFpTti5KAIIIIAAAggggAACCCCAAAEpdQABBBBAAAEEEEAAAQQQQCAnAgSkOWHnoggggAACCCCAAAIIIIAAAgSk1AEEEEAAAQQQQAABBBBAAIGcCBCQ5oSdiyKAAAIIIIAAAggggAACCBCQUgcQQAABBBBAAAEEEEAAAQRyIkBAmhN2LooAAggggAACCCCAAAIIIEBASh1AAAEEEEAAAQQQQAABBBDIiQABaU7YuSgCCCCAAAIIIIAAAggggAABKXUAAQQQQAABBBBAAAEEEEAgJwIEpDlh56IIIIAAAggggAACCCCAAAIEpNQBBBBAAAEEEEAAAQQQQACBnAgQkOaEnYsigAACCCCAAAIIIIAAAggQkFIHEEAAAQQQQAABBBBAAAEEciJAQJoTdi6KAAIIIIAAAggggAACCCBAQEodQAABBBBAAAEEEEAAAQQQyIkAAWlO2LkoAggggAACCCCAAAIIIIAAASl1AAEEEEAAAQQQQAABBBBAICcCBKQ5YeeiCCCAAAIIIIAAAggggAACBKTUAQQQQAABBBBAAAEEEEAAgZwIEJDmhJ2LIoAAAggggAACCCCAAAIIEJBSBxBAAAEEEEAAAQQQQAABBHIiQECaE3YuigACCCCAAAIIIIAAAgggQEBKHUAAAQQQQAABBBBAAAEEEMiJwPk5uSoXRQABBBBAAAEEXCHQIS17npYj7x+XZ+sa5c0uc6bypXDMHXLHiEuk+NqJMqqol/lL1hFAAAEEfALn/c23IIEAAggggAACCCCQiIAvEG2sk1VLd4UEodHOocHpLFmzbBaBaTQitiOAgCcFCEg9WexkGgEEEEAAAQSSFehu2y/Lv79Idh/7MPFT5A+VKT++X1aXF0le4kdzBAIIIOA6AQJS1xUpGUIAAQQQQACBTAl0tzVK9dRlcqDd1DfXF2ROmjtOvvXtm+SWkv7nLt3dJs07fyWvv/xzqT94+tx2GSDldQ/L1gnFBKUmFVYRQMCbAgSk3ix3co0AAggggAACiQp0viIbps2Q+kDLaB+54rZauf/eChlo2dzZLZ0tO2T+rI3SFAhkL5VJOx6X2tEXJpoK9kcAAQRcJUBA6qriJDMIIIAAAgggkBmBj6Vl/XiZuO3tntMn3soZ1rpaOFUanr9XRhVYRrOZyQ5nRQABBGwiwGtfbFIQJAMBBBBAAAEEbCzQ8bz8uMEIRn0TFE1eLrUJdrnNK5osWx+dLyX5Pflsf0JW1r8h3TbONklDAAEEMi1AQJppYc6PAAIIIIAAAg4X8LWONtRLkzFsNH+kzF04WgqSyFVe8TipHn9pz5FdcvqZX8sxItIkJDkEAQTcIkBA6paSJB8IIIAAAgggkCGB03Lk5T8Ezp1fdoNc0z/ZbrYXStnUG33TGvUsp5vkwLGPjU/8RAABBDwnQEDquSInwwgggAACCCCQkEDHv8lrb33Sc0iBlFaMENNcugmdSnfOG3qtjB1g9Nv9g/zmd+YZeBM+HQcggAACjhYgIHV08ZF4BBBAAAEEEMi4wF865H2ju658UQZflkxnXVMq8y6WQV/5XM+GT+TEiT9J4PSm3VhFAAEEvCBAQOqFUiaPCCCAAAIIIJC0QFfbSTkROPrz0q/AaN0MbExw5bPSt3+vwDGfHD8pfwp8YgUBBBDwlgABqbfKm9wigAACCCCAAAIIIIAAArYRICC1TVGQEAQQQAABBBBAAAEEEEDAWwIEpN4qb3KLAAIIIIAAAgkKfKpvP/lCgsdY7/6xnOkwJkkS6TVkkHzZ+gC+RQABBFwrQEDq2qIlYwgggAACCCCQDoG8vx8slweGjZ6Q146+n9ppu/8sJ3//155z5MsX+l8g3JClRsrRCCDgXAF+/zm37Eg5AggggAACCGRDoP8IubHMmFm3Uw7vf1U6Urhu97Ffy3OnjXl1i2TsdV+VZN9qmkIyOBQBBBCwhQABqS2KgUQggAACCCCAgH0FLpJrKq4Uo5G069Dz8lJHd5LJfV8O7fqlBN48Wjhcriz6dJLn4jAEEEDA+QIEpM4vQ3KAAAIIIIAAAhkVyJP+I2+Q0kBE+qLUrW+SziSu2d26T7bufbfnyHwZMH6ClBXQPpoEJYcggIBLBAhIXVKQZAMBBBBAAAEEMijQv0IWLRjR00raJe2Nc6Vy+3FJpJ20u61Rqm/fKC1Gb93CibJyxjforpvBYuPUCCBgfwECUvuXESlEAAEEEEAAgZwL9JLi6Stk3rA+PSn5UFrWTpYJS/bLqZhRabd0tmyXmVOXyYF2Ixq9VCbVzJFRtI7mvGRJAAII5FbgvL/5ltwmgasjgAACCCCAAALOEPC3cgYFlr50F46RGXeOlCuvnSijinqdy0h3mzTv/JW8/vLPpf5gYNSo7/sBUl73sGydUEzr6Dkt1hBAwKMCBKQeLXiyjQACCCCAAAJJCnS+IhumzZD6Yx8mfoL8oTLlx/fL6vIigtHE9TgCAQRcKEBA6sJCJUsIIIAAAgggkGmBDmlprJNVS3fJm0YvXMtL5vsaUmfJmmWzgltRLY/hSwQQQMD9AgSk7i9jcogAAggggAACGRPwBaZ7npYj7x+XZ+saQ4JTDULvkDtGXCLFod15M5YeTowAAgg4S4CA1FnlRWoRQAABBBBAAAEEEEAAAdcIMMuua4qSjCCAAAIIIIAAAggggAACzhIgIHVWeZFaBBBAAAEEEEAAAQQQQMA1AgSkrilKMoIAAggggAACCCCAAAIIOEuAgNRZ5UVqEUAAAQQQQAABBBBAAAHXCBCQuqYoyQgCCCCAAAIIIIAAAggg4CwBAlJnlRepRQABBBBAAAEEEEAAAQRcI3C+a3JCRhBAAAEEEEAAgSwJFA8sCrtS66m2sG3GhtD9rfY1juEnAggg4AUBWki9UMrkEQEEEEAAAQQQQAABBBCwoQABqQ0LhSQhgAACCCCAAAIIIIAAAl4QICD1QimTRwQQQAABBBBAAAEEEEDAhgIEpDYsFJKEAAIIIIAAAggggAACCHhBgIDUC6VMHhFAAAEEEEAAAQQQQAABGwoQkNqwUEgSAggggAACCCCAAAIIIOAFAQJSL5QyeUQAAQQQQAABBBBAAAEEbChAQGrDQiFJCCCAAAIIIIAAAggggIAXBAhIvVDK5BEBBBBAAAEEEEAAAQQQsKEAAakNC4UkIYAAAggggAACCCCAAAJeECAg9UIpk0cEEEAAAQQQQAABBBBAwIYCBKQ2LBSShAACCCCAAAIIIIAAAgh4QYCA1AulTB4RQAABBBBAAAEEEEAAARsKEJDasFBIEgIIIIAAAggggAACCCDgBQECUi+UMnlEAAEEEEAAAQQQQAABBGwoQEBqw0IhSQgggAACCCCAAAIIIICAFwQISL1QyuQRAQQQQAABBBBAAAEEELChAAGpDQuFJCGAAAIIIIAAAggggAACXhAgIPVCKZNHBBBAAAEEEEAAAQQQQMCGAgSkNiwUkoQAAggggAACCCCAAAIIeEGAgNQLpUweEUAAAQQQQAABBBBAAAEbChCQ2rBQSBICCCCAAAIIIIAAAggg4AUBAlIvlDJ5RAABBBBAAAEEEEAAAQRsKEBAasNCIUkIIIAAAggggAACCCCAgBcECEi9UMrkEQEEEEAAAQQQQAABBBCwoQABqQ0LhSQhgAACCCCAAAIIIIAAAl4QICD1QimTRwQQQAABBBBAAAEEEEDAhgIEpDYsFJKEAAIIIIAAAggggAACCHhBgIDUC6VMHhFAAAEEEEAAAQQQQAABGwoQkNqwUEgSAggggAACCCCAAAIIIOAFAQJSL5QyeUQAAQQQQAABBBBAAAEEbChAQGrDQiFJCCCAAAIIIIAAAggggIAXBAhIvVDK5BEBBBBAAAEEEEAAAQQQsKEAAakNC4UkIYAAAggggAACCCCAAAJeECAg9UIpk0cEEEAAAQQQQAABBBBAwIYCBKQ2LBSShAACCCCAAAIIIIAAAgh4QYCA1AulTB4RQAABBBBAAAEEEEAAARsKEJDasFBIEgIIIIAAAggggAACCCDgBQECUi+UMnlEAAEEEEAAAQQQQAABBGwoQEBqw0IhSQgggAACCCCAAAIIIICAFwQISL1QyuQRAQQQQAABBBBAAAEEELChAAGpDQuFJCGAAAIIIIAAAggggAACXhAgIPVCKZNHBBBAAAEEEEAAAQQQQMCGAgSkNiwUkoQAAggggAACCCCAAAIIeEGAgNQLpUweEUAAAQQQQAABBBBAAAEbChCQ2rBQSBICCCCAAAIIIIAAAggg4AUBAlIvlDJ5RAABBBBAAAEEEEAAAQRsKEBAasNCIUkIIIAAAggggAACCCCAgBcECEi9UMrkEQEEEEAAAQQQQAABBBCwoQABqQ0LhSQhgAACCCCAAAIIIIAAAl4QICD1QimTRwQQQAABBBBAAAEEEEDAhgIEpDYsFJKEAAIIIIAAAggggAACCHhBgIDUC6VMHhFAAAEEEEAAAQQQQAABGwoQkNqwUEgSAggggAACCCCAAAIIIOAFAQJSL5QyeUQAAQQQQAABBBBAAAEEbChAQGrDQiFJCCCAAAIIIIAAAggggIAXBAhIvVDK5BEBBBBAAAEEEEAAAQQQsKEAAakNC4UkIYAAAggggAACCCCAAAJeECAg9UIpk0cEEEAAAQQQQAABBBBAwIYCBKQ2LBSShAACCCCAAAIIIIAAAgh4QYCA1AulTB4RQAABBBBAAAEEEEAAARsKEJDasFBIEgIIIIAAAggggAACCCDgBQECUi+UMnlEAAEEEEAAAQQQQAABBGwoQEBqw0IhSQgggAACCCCAAAIIIICAFwQISL1QyuQxNwJt22XcwCIp9v+bLA1tXQmmo1OaF1zVc3yRfG1BsyR6BssLBqWvSIbcsl1auy2PCPmyS05tn5y59IVcjY8IIIAAAggggAAC7hMgIHVfmZIjBJIS6Dq6RRbuOC4JxaRJXYmDEEAAAQQQQAABBBA4K0BASk1AAIEegQ+lZcMq+WnrJ4gggAACCCCAAAIIIJAVAQLSrDBzEQQcItD1qmya/7MEu+46JG8kEwEEEEAAAQQQQMB2AgSktisSEoRAbgXouptbf66OAAIIIIAAAgh4SYCA1EulTV4RiCbQ6x9k0rhLe76l6240JrYjgAACCCCAAAIIpFeAgDS9npwNAYcKfEmuX7pUJhXmn00/XXcdWo4kGwEEEEAAAQQQcJYAAamzyovUIpA5gYLRsqhmohT2XIGuu5mj5swIIIAAAggggAACZwUISKkJCCDQI5AnBaPnyJrJdN2lSjhH4L333nNOYkmppwRaW1s9lV8y6xwB6qZzysorKSUg9UpJk08E4hK4UEYtoetuXFTslFOBw4cOS/mYMXJ9ebk0bN+e07RwcQTMAi0tLf66OWHceH/d/Oijj8xfs45AzgTa29ulcvqdMvOuGbJqxUrRzywI2EHgfDskgjQg4H6B12XdqMtlnRMy2tN19/D0XaJ/qs523S2Vx6qGSJ4T0k8aXS1w8sRJqV23TpqbmgL5XLe2Rh7bvVuW+26wSstKA9tZQSDbAnqzH6luzrlnbraTwvUQCAjoQ5GH6h+SrVu2+LddVlwsj+zcKc8887TMnDVLpkydKr179w7szwoC2RaghTTb4lwPAdsL0HXX9kXkwQTqDZU+0dcWUfMNv0HxTus78r1p0/xP/3nqb6jwM9sC0erm7OrqbCeF6yHgF3hs92MysqwsEIyaWc58cEb0gd74m2+W/c/tN3/FOgJZFSAgzSo3F0PAKQJ03XVKSXkhncYNlT7RD10u+PwFQZs0ILh6xFVyX919QlfJIBo+ZFnggguC62aWL8/lPC6gXccnTZggSxYtEg08zUufPn3MH0Uf6OlDE23h114oLAhkW4CANNviXM+jAlfK4ua3pfVUWwL/WqRhsjHnrRVbt3S27JP6BTfLkIFFUmz8G1EpG7bvk5bObquDo38XNuvuo7L9pfej7883CKRZwBiLF+mGatTo0fLyq6/I4Zdflmnf/W7YlbVrmrYKaDDLgkC6BbRuRlu0br5w4IAc/s3LUj17drTdGPscVYYvUhHQHiJz58yRieNvkaNHjgad6rLiy2TL1q3y5L69/p99+/UN+l4f6GkvFO2NwgO9IBo+ZFiAgDTDwJwegYwKdLfJr5fcIiPGz5ENjceky3yx9oNSv9b3R+mGH8iTbZ+Yv4lzPbTr7rvy+JLN0pxsgBvnVdkNAWPiDb2h0if35kVvqB5+5BFp2PETKSws9I97WrFqpT8A0EDAvGirgAazOvmRVQBhPoZ1BKwEzDf7kfbTm32tm4MGD/LXzXvm3uN/cBJaN/VY7SqpdVMn6GJBIFUBDSB1gjftIbJv776g02nguXjpEtn71FNSMbbC/53+fPHQoYgPTbQ3ij7QY8K4IEY+ZFCAgDSDuJwagcwKfCKtO5bI3b/QQLSPXDF5nTzxxsmeFtjfyRMbpsoV+b4UtD8r86euTjKQDOm62/6ELKtpks7MZoyze1RAb6i0q63eUIWOxTNuqA4cPBhx4iINADQQ0GBVg1bzokGtBrfaasD4UrMM6/EKxHOz/z//7c3Azb75vPrgROvmE3ufjFg3jbHPdJU0q7GeiICO/9QAUh9yhC7ag+TZ/fulsqoqbOIincgo2kMTY3wpD01CRfmcCQEC0kyock4EsiHQsV9qN7zqD0ZLljbKng1TpKTAmAe3v5RMrpE9zy+REn9Q+kv5xcEk39dYUCpVdw4XPY1vzl1pb1wrtU103c1GEXvpGsYNlTELpDnvekOlT/L1hirWorPsatCqrQGh3dG01UCDXX3qT3e0WJJ8bwho3dRJXyLd7I8bPy7qzb5xvPGzpKTEXzdramvD6iZdJQ0lfiYiYIwT1fGfoeNEtVVeH4JoDxJ9KGK1GA9Noj3Q46GJlR7fpUOAgDQdipwDgRwIdP3P1+Q32kc3f4TcdsvgiK9kySseK7eVFfh26pTfvPb74C69cae5lxRPXyHzhhmTINB1N246dowpEO8NVaKvJNDgVYPYSONLNbDQ1gRmlYxZPJ7eQeumTvKiN/uhXceHDR/mv9mv27w55s1+KOKtU26NWjeNrpKMfQ5V47NZQHt66DjPSONE9UGc0XVcH4Ikslg90DMemjBhXCKi7BuvAAFpvFLsh4DNBD5VdIPM87UCLV48VYYFWkZDE/lZ6du/l39jd8cZ+Uvo1/F+zhsid2ycfba1VY/p6bobPG9fvCdjPwR8VSiOiTe0m2OiN1RmWw1itXVAWwlCx/Bpa4IGGjoLJeNLzWqsa+u5cbMfqeu43uw/vmdPWuqmTn4UqW4y9pl6GEnA6Dr+nYoK/3tEQ/fRniH6IM4YJxr6fbyfrR7oMWFcvIrsl4gAAWkiWuyLgI0E8opGyR2+VqDK6aNkoNFTNzR93a3y+m86fFvz5aLLLxVtK012ySv+J1m/YISp6+69suqZPyZ7Oo7zqID5hiqeiTfSwaRBrQa3GkiEji/VWSi1lUEDEMaXpkPb2efQ7tzaeh7pFUPputk3C8Uz9llbaambZjVvrpu7jod2z9Wu4zrreKRxoslqxXqgx0OTZGU5LpIAAWkkFbYh4AoB3+tgXtojT53Wfr1FMva6r0bs1ht/VkO77rbLm8fa4z+8Z0+dUZIxfAmzueKAWDdU0SbeSFfmtdVAZ5mMNL5UAxBtdaBupkvbWefR30s6eYt25w692dcWzHTf7IfqxOoqybt1Q8W88zlTXcfjFbR6oGdMGMdDk3g12S+aAAFpNBm2I+Bwge7WHVI5Y5doyJg/bKJMGPrZ1HMU2nU3iTOu9nWhZAxfEnAOPiTXN1RmOn3qr60IGvxqq4J50UBE66ZOYMP4UrOMe9d1Zlu9mdZJW0LHiWprunb31tb1WJPCpEvIqJuRxj7TVTJdys44T6yu4zo5VqpdxxORMD/QCz1Ou7YzYVyoCp8TESAgTUSLfRFwiEB3W6NU375RWrRxtPA7UlP3T1IcrVtvgnkK7rqb2ME6UYdx08cYvsTsnLh3rBuqdIzFS9ZFAwydkEYDDp2gxrxoHdXxpRqo8CoOs4x71rVu6uQs15eXR3zFkN7s62zNqYxhTlZL66bV2GftKsnY52R1nXGcVdfx6tmz/eNEdXKsbC/GAz3tMRD6QE/TwsPmbJeIe65HQOqesiQnCPgEfN10W7bLzKnL5EC7Lxr1zcC7+NGNckvR2YmN0kMU2nU3sbOGvoqDMXyJ+Tll73huqFKdeCMdFhpwaCuDBsehddOYVVLHl2oAw+IOAX0wpuNErV4xlIub/VBdc1fJ0Lpp/N7k3bqhas7+HE/XcX1vqAaGuVzMD/RCx+XzsDmXJePcaxOQOrfsSDkCIQKfyKkDa+R7vvePNmkw6msZ3firn0plcTqD0Z5LJtl1N9brDhjDF1KkDvzolBuqUFoNjnV2Sh1fGroYr+LQIJvFuQLadVzHiWoLY6RxojrjrbZM5vpmP1TYqm7ybt1QLWd+tlvX8XgV9aGJ9iSI9G5dHprEq8h+KnDe33wLFAgg4HSBDmnZvljuXnvAP2bUH4zuSnfLaHqN9OZw65YHwrrL6VX0ietyX6uUTvTB4gwBvaGqXbcuanlu2LQpJ90fk9HTGU2XLVnqirwkk3+3HROrPJ30u0bzsnH9egmdoVrLTFtRV9+7JuVXfrit/O2cH+15UbdxU8RZnbU85y9YKHZorY/HUPPyUP1DEXseaF5mzpolU6ZOtd0Dn3jyxj6ZFyAgzbwxV0AgwwIdcmR9ldy+rUV87aKSP/RuefSRH8jwqO8mzXByEjy9Th6z+b66wNhS8+E6u+WixYtFX43AYk+BWDchTrqhChXWhyYL5s2LWjfX1KzN2mQ3oWnjc2wBrZu7d+3yj2sL3du4QdZJhJy4aN2sWbNGtBUqdNEx0UuWLXPMA6DQ9Hvls3Yd37hhfVhrveZfJ7WaO3+eI4O3WA8n59wzl4cmXqnkCeSTgDQBLHZFwH4C5mA0XwqvWyOPbpsc/b2k9suAP0XGjeOD27a57o+zTcnTkiy33lCF4ljlUycYuWvGXY68cQzNp5s+64Ou5T9cFvX3yYxZM13xMMGqbmpQ45Z8uqluxnrQ5ZaHsDp8Q2fVNyYyNJehPmyunn03D03MKB5fJyD1eAUg+04W+ERat98hY9e+6msZdW4wai4B7Y5Wv+1BV3RfMufLbeteuaEyl5ubW4LN+XT6ulXLoVtvgmPVTbpK2qNWu6nreCKiOvaeh82JiHlzXwJSb5Y7uXaBQHfrdrn1hhrfq13cEYyai8TqplLHlzppPKI5X05f9+oNlbncrAzoKmmWyu66lovXx1Za1U39vUlXyezWSeNq8TwwcGrXcSOPsX5q3bR62KwPTdxuEMvI698TkHq9BpB/hwp8LC3rx8vEbW/Hn/6hS+Tg01UyMP4jcr6nVbc7be1gDF92isjoUq3vmAtdjLF4Xpuswqo7mr6fb/7Cha7oEhpa3nb7bNTNaC0wOmsydfNcqbm1lfhcDu21Rpfq4PKI9bDZSROMBeeMT6kKEJCmKsjxCORE4G1puOlmWXfsk/iv7sCAVDNn3HBGCob0ey/ecGq+s7VYPRRgjJqIVXc06mZma6nVhGg8FLCum06eNCeztSo9Z7cKvHgoIGL1d0V93DKONj21yRtnISD1RjmTSwQcL0CXvOwWITdU8XvrQxOrVzfwKo74LePZ02oWT7pNBwvGqpt0lQz2SvWT1d8puk0H68Z62MxDk2Avt38iIHV7CZM/BFwmYBUocTOaemHHGutDcBXd2CpQolUkulu838QKrpz8iqF4DZLdz6pu8t7nZFXPHWcVXHl1WMM5Hes1/ZsT7b3Pasf/19Z+bvmWgNQtJUk+EPCYAGNz0lvgxg0VY/FSd7XqSko35+R8rbpG8+qd+E2t6iZdJeN3NO9p1f2UruNmKet1fdgc7b3PTGZobeeGbwlI3VCK5AEBjwpoEPVQ/UOydcuWMAGeSoeRRN1gdZPKDVVUNssvrAJ8o24yq6Qlof9Lq8mjNIBiYrPYhqF7WNVN3ZeukqFikT/TWyeyS6pbrR428/98qrr2PZ6A1L5lQ8oQQCBOAasuP3RHi44Yqxsfr9eJbhfvN1ZdoKmb0RX5fzq6Tbq+saqbdJWMrhzLjWEN0e3i/UYfmkQbl6/noFdEvJLO2Y+A1DllRUoRQCCGgFWXH7qjncOz+mPPjeg5p3SuWbWmUDfPSWvdjNXrgZblc17pWLOqm3SVPCccq2WZWbXPWaVrzeqhqf6tIvhPl3Tuz0NAmvsyIAUIIJBmAasuP17vjsZYvDRXtgRPZzXezOt1k/9vE6xMad7dqm56vauk1bAGr9ukuRpGPJ2VP5MZRiRz3EYCUscVGQlGAIF4BGK1AnrtdQeMxYun1mRnH6OlJdK7db3YQk3PhuzUu3iuYlU39XivdZXUurl1ywPS3NQUxkfrcRhJRjcYdTPaxHvMd5BR/oyfnIA048RcAAEEcilg1eXHCzcUjMXLZe2zvraWzcb162Xf3n1hO3qlblrlf849c6VibEWYDRsyL2D1e8MLD01iPdDkVSSZr4PRrmD1e1OPoet0NDl7bycgtXf5kDoEEEiTgNdaCPWGirF4aao8GT6N1Rg+N3YHNFo6orUQa++FKVOnSu/evTMsz+ljCVi1Xru1qyTDGmLVCnt8b/V7Ux/o8UDLHuUUbyoISOOVYj8EEHCFgBduNhiL58yqalVubukqaTVOkS539q23VnXTLeUW66HlosWLZdDgQfYtJI+mzOp3ij7Qq559t5SUlHhUxznZJiB1TlmRUgQQSJNArO5YTp25z+qJMX+Y01R5MnyaWC3bTq6b0cbiubWlLcNVJeunt6qbmhindpWMNaxj+YqVUlpWmnVvLhi/QKy6qRPGzZg1UwoLC+M/KXtmVYCANKvcXAwBBOwkoAGcG26SrcbU0HXJTjUu/rRYjeFzUgCn+ajf9qA8snNnWOZ5bUMYiSM2WAVwTirTWA8mvTbxnSMqX4xEWv3e1LpJmcYAzOHXBKQ5xOfSCCBgDwGrKeXt3B1Nb6h279oljMWzRz3KRCqsxvA5oW5GmxHTqa1pmShjp57Tqour3R+aWHVB9vrrl5xaH83ptqqb+pCWVm+zlj3WCUjtUQ6kAgEEcixgBHeRbqCNJ6t2mmjFatyMnQOVHBezYy9vNfbZbsGd1c2gGydpcmylSlPCreqm3bpKWj3g0brJONE0VQqbnMaqblLeNimknmQQkNqrPEgNAgjkWMCqi6Edur+6pZtxjovZkZe36mJoh7pp1ZVT07dh0yYmF3FkzYudaKvfm3Z4oGfVldMO/+/EFmaPZAWsfm/qOWkRT1Y2vccRkKbXk7PlRKBDWvY8LUfePy7P1jXKm13mRORL4Zg75I4Rl0jxtRNlVFEv85esIxBVQAO/mjVr5OiRo2H75OLJaqwbPqdOdhOGy4aYAlaBn9bNbM8qaXXDp8EI72yMWaSu2SHWA7PH9+yJI6/p/Zuu/79cX14edl07BMphiWJDxgSs6mZiv6es6mcfuWJylXxn8CUyfNL/kJKCvNj5adsu40bVyJv+Pa+Uxc2PSmVRfuzjAnt0SvOCG6Wysd2/pdfkHfLGhlGSyBkCp8rhCgFpDvG5dKoCvl8KjXWyaumukCA02nk1OJ0la5bNIjCNRsT2MAGrrrHZeLJq1ZVYE+uW14GEwbMhpoBV19hs1E1NoFWXuGylISYUO2RdINK4fO1aXllVZZGWzP1Nr5x+pzQ3NQWurXWTWVcDHJ5aiVQ3FSBm/exuk+YdD8qPNoQ2fETjGyCj714uS+eUy0CruJSA1A9IQBqtHrHd1gLdbftl+fcXye5jHyaezvyhMuXH98vq8iKx+h2R+Ik5wq0CRlBoNXmQ9Y1WcjJWAYe2hK2pWcs09snRuuYoo25ajX3ORN3U1oYF8+bJO63vhFnmogdBWCLYkHMBo27q701tgXrx0CHp3bt3xHRl+m+60Upq98mWIuKwMe0C5rqpJ9du23ufeioj9TN/6PfkgR8tlGuj9dAjIPWXLwFp2qs5J8y0QHdbo1RPXSYH2k19c31B5qS54+Rb375Jbinpfy4J+kRr56/k9Zd/LvUHT5/bLgOkvO5h2TqhmKDUpMKqtYB2m924fr3s27svbMd0jpGz6pKZzuuEZYINjhWw6tKtdSZds0rGGouXrus4tiBIeJiA1pkTb5+I+i7PbP1N19+rgwYPCksfG7wrYPxNHzf+lsTqZ+EYmXHnSLkydCiY/57zWXlh33Z53NxgUjhVGp6/V0ZF6sJLQOqvgASk3v3/0Jk573xFNkybIfWB/9F9/fVvq5X7762w7hIh3dLZskPmz9ooTYFA9lKZtONxqR19oTMtSHXOBGKNL0225VKf2tZt3BT1nY2MxctZkTvmwlbjpFJpudS6+VD9Q7739m4JszDG4mWiJTbsYmxwlwB/091Vnm7LTecBWXRDtTweuG/0dcNder9srBouBZZ57ZAj66vk9m0tcrbpxDdkbPJWeW5DefhxBKR+yU9ZevIlArYS+Fha6leaglFt5dwre2piBaOaiTwpKKmSB3etkfJCY6j3u/L4ks3S3Nltq1ySGPsLlJSUiE7OUVNb6++KZk6xjlO6esRVcl/dfaI38fEuOhZvZFlZxGBUxztpd7dbp9wa7+nYz6MCWjcbdvxEtmzd6u+GZmbQuqmTuyRaN/WdjVo3IwWjWjef3b8/xthAcypYR8AQ4G+6IcFPOwpo/dwUFIxqz7oHYwajmpf+MnxhvWybfGlPxrqkvXGTPNTysR0zaos0EZDaohhIRFwCHc/Ljxve7tlVnzYtl9oEu9zmFU2WrY/OlxIjJm1/QlbWv+FrP2VBIHEBDRA1UNSJhUIXvXnXm3idQMFq0Rat8jFjRMdZnfngTNCu2qL1woEDsmLVyqhjW4IO4AMCPQIVYyv8Y6J0oo7QxaibGmhaLVo3J02YIEsWLYpYN5/Y+6S/bhYWFlqdhu8QiCzA3/TILmy1h0DK9fNCGbVkqUwKNIK0yXO/eov7zSilS0AaBYbNdhPwPalqqJcmY9ho/kiZu3B0eNeHOJKdVzxOqsefe2p1+plfyzEi0jjk2CWSgE7Scc/ce+TlV18RDSDNiwaYs6ur/Tf1enNvXnTsis78ONE3diV0Yhgd8/fwI4/4W7oY82RWYz0RAa2b2o1W6+a48eOCDtW6qYGmPgyJVDfnzpnjr5uhrz3S7rna+qqtsNoay4JAcgL8TU/OjaOyI9AtHS8+L4cD95zD5Y4ZpYnfcxaUysyaWmlofktaT70tLy0czrwlUQqQgDQKDJvtJnBajrz8h0Ci8stukGv6JztH7oVSNvVG37RGPcvpJjlwjG4UBgc/kxPQViK9SddWIw0ozYve1GvgqTf5ra2t/i6T2q3X/BoC3V9v9rVFS2f7Ky0rNZ+CdQSSFtC6Wbd5s79u6iyj5kUfhmjd1IcjWje167jWzUgTd2nd1B4B2vrKgkBqAvxNT82PozMr8J68tP/1nvGfIvllk2R8cTLvse8lA0ffwqsG4ygsAtI4kNjFBgId/yavvfVJT0IKpLRihK+HfvJL3tBrZewAo9/uH+Q3vzPPwJv8eTkSAW01OnDwYMTxpXqTP/OuGTHH4kV7NQK6CKQiYIx91hZOffhhXvThiNbNSK820tZVbWXV1lbqplmN9aQF+JueNB0HZkGg6/fy25c7ey7US4aM+HpK95xZSLHjL3G+43NABrwh8JcOed/oOiFflMGXWc9vFhMl72IZ9JXPiZzWXzifyIkTf/I9CbtcjBA15vHsgEAMAR1fOvY7Y8Nmzf2v//qvoCN5L14QBx+yIKAtnGXXlIXNmkvdzAI+lzgrwN90aoKdBU6flONGG4ivo+6Q4i9mKbWvy7pRl8u6LF3NTpehhdROpUFaogp0tZ2UE4FvPy/9ClINHT8rffuf637xyfGT8qfA+VlBID0C2pqkExLpxEQ6vvRLX/6ynP7jH/0/L7jgAv9YPJ2tl7F46fHmLPELaN00j32+6KKL/HXzosKLROumziBN3Yzfkz0TE+BvemJe7J1LgQukX9+/y2UCPHFtAlJPFDOZRACBXAroxEQ6vvTf/3T2sYf+rJ59N2PxclkoXNsvYIx9fu+99/yf32t/z183ecUQFQQBBBBQgXQ0giAZS4Auu7GE+B4BBBBAAAEEEEAAAQQ8KPBHOdn2V5GiFIeKxSV3pSxuflQqixLpBdgpzQtulMrG9riuYNedaCG1a8mQriCBT/XtJ18I2pLqh4/lTEdggID0GjJIvpzqKTkeAQQQQAABBGIK8Dc9JhE75FLggv5yYSIxYS7TGve1u6WzZZ/UL7hZhgwskmL/v8vl6jvXyU+b2nL+flQC0rgLkh1zKZD394Pl8sAvhxPy2tH3U0tO95/l5O99T7z8S758of8Fwv8MqZFyNAIIIIAAAvEI8Dc9HiX2yZlAwaUy+CLjprNDXnm9NfmArfOYNLd05CwrZy/cIUfWT5IR4+fIhsZjgdfZiG+t/eBDsmb69VJ2V6Oc6s5dMrkHz509V05EoP8IubHM6C7RKYf3vyqp/O/dfezX8txpY9reIhl73Vd5WXEi5cG+CCCAAAIIJCvA3/Rk5TguGwLGmxj81+qS995+V/SdDIkv3dJx8AGZNf6bvhZJX2tkToI+X8toU53887YWX/jZR664bascbG2T1lO+f61N0nD3GCnUwPRXa2TejuPJB96J4wQdQUAaxMEH+wpcJNdUXBl4LUvXoeflpY5kH+W8L4d2/VICbx4tHC5XFn3avlknZQgggECCAme7YxndsooSPJrdEci0AH/TMy3M+VMRCK2fj8ve1nPDvOI/83vy0v7Xe1oku6Sj+3zpkxf/0WnZs/sNeWj5E9Luu4MunFwnD9dUyEAjDXlFMmrev8gDsy73XepDadn5lBxL9tY6xcQSkKYIyOHZEsiT/iNvkFKjB0XXi1K3vimpJ1bdrftk6953exKeLwPGT5CyAuP/zmzlh+sggAACCCDgVQH+pnu15J2Rb1/9HDNJxhX23HR2HZGf1h9O+J6zu+Vn8qODRttqgZRWjJD+2Qb4w1H5jb9HYJHcPPVq31tVQ5fPytev/Ib4X4T4vz+Qzv8b+n12PhOQZseZq6RDoH+FLFowoqeV1Ne9oHGuVG5PrHtBd1ujVN++UVqM3rqFE2XljG/QXTcd5cM5EEAAAQQQiFeAv+nxSrFfLgQKSqXqzuGme87VsmhPAmNJO1+RuhWPmnrj3Si3jbko+zkpqpJ92j331AuyoOSzEa7/vvzr86+Jv/33C/2kIEeRYY4uG8GDTQjEFOglxdNXyLxhfXr29HUvWDtZJizZH8dAbJ1dbLvMnLpMDrQb0eilMqlmjoyidTSmPDsggAACCCCQXgH+pqfXk7OlVyC0fp6WA3O/JzO3H4nZUtrdtl+WTpsh9cc+7EmSHe83jVl3K2VWo/Ya9KVx9XQpyVGHQQLS9NZezpZpgbwhckfdMik3ulH4+ry/+YtqGXN1pWzY/nNpbgvp49/dJs076mXDnSNl+PgaaQoEowOkvO4nsnb0hZlOMedHAAEEEEAAgUgC/E2PpMI2uwho/dw4W0qM4WK+9s6mtRNlxE0LpX77PmnpNA+4PBvgNayvlLJR1bI7EIzq2M2lssg295v63tKrfJMsDfLdF5+ddVeGTpXavXukNodpPN8uZU46EIhXIK9osjz4/CWywfz0qf2g1K/Vfz+MfZr8oTLlx/fL6vIiuurG1mIPBBBAAAEEMibA3/SM0XLiNAjkFU+XhkaR+bM2Bho1uo41ygbfP1k7J8YVdFbbWrn/3vIIYzdjHJqxr/9DWo8b41rPXqTr2C754YpPS98fLZRri/yjSTN29WgnpoU0mgzb7S1QcJUseLpZntgwVa4IPLmKlWTfU6ox/ywNv3pM1hKMxsLiewQQQAABBLIjwN/07DhzlSQE8qSgpEq2P/+Y1E4eGnjbQ8wTFY6R6h1PyR7zrLYxD8rGDpdL5dNvnX3ty6nfBe6ju449LDOmrpbmoFbfbKTn7DVoIc2eNVdKu0B/KZlcI/smz5WWPU/LkfePy7N1jfKmMUTUfz0NQu+QO0ZcIsXXTpRROXryk/asc0IEEEAAAQRcJcDfdFcVp9syU1AikzY8JZOWtMiTj/9O3j/xrGxuPNbzShcjswNk9Kx/lG8P+pZMnFBio1ZRI32hP/X/uXvl4eL+8r0pD8ib7U/IynrfmycWDs96D8Lz/uZbQpPHZwQQQACB9AvouyGNZfHSJVJZVWV85CcCaRUw1zU9sb4E3Wox70/dtJLiOwQQQMBtAv8uT945VubrK2qGLpGDT1fJwCxnkS67WQbncggggAACCCCAAAIIIICAPQQulGEjBp9NytsnpS2op2F2UkhAmh1nroIAAggggAACCCCAAAIIZFmgQ1qajlm8rqZLznzwf7KcpuDLEZAGe/AJAQQQQAABBBBAAAEEEHC4QLd07LlLhgz8pkyc8YA0dZhfU2POWqe0vf0f/g35V39bhsY9Waj5HKmtE5Cm5sfRCCCAAAIIIIAAAggggIDNBPKk/8gbpFQDzK4XpW59U4RW0k/k1J51UqfjR33TMJVWjJD+OcgFAWkO0LkkAggggAACCCCAAAIIIJBRgf4VsmjBCN/rarqkvXG1zF//pLQYr3bpbpPmTXfL7XOflXbfHoXXLZal476U0eREOzmvfYkmw3bbC5hnhdTEWs0iGbpvrP1tn3kSiAACCCCAAAIIIICApUAvKZ5eIw+0/UDu/sUxado21/8v+BB9ReJ8eWDDBBmYF/xNtj7RQpotaa6DAAIIIIAAAggggAACCGRTIK9Irq15TJ7fsUpmjBlgurIGonfJsh0vyKGfVElJQY6iUV+KaCE1FQurCCCAAAIIIIAAAggggIC7BHrJwNHTZIH+s2HGaCG1YaGQJAQQQAABBBBAAAEEEEDACwIEpF4oZfKIAAIIIIAAAggggAACCNhQgIDUhoVCkhBAAAEEEEAAAQQQQAABLwgQkHqhlMkjAggggAACCCCAAAIIIGBDAQJSGxYKSUIAAQQQQAABBBBAAAEEvCBAQOqFUiaPCCCAAAIIIIAAAggggIANBQhIbVgoJAkBBBBAAAEEEEAAAQQQ8IIAAakXSpk8IoAAAggggAACCCCAAAI2FCAgtWGhkCQEEEAAAQQQQAABBBBAwAsCBKReKGXyiAACCCCAAAIIIIAAAgjYUICA1IaFQpIQQAABBBBAAAEEEEAAAS8IEJB6oZTJIwIIIIAAAggggAACCCBgQwECUhsWCklCAAEEEEAAAQQQQAABBLwgQEDqhVImjwgggAACCCCAAAIIIICADQUISG1YKCQJAQQQQAABBBBAAAEEEPCCAAGpF0qZPCKAAAIIIIAAAggggAACNhQgILVhoZAkBBBAAAEEEEAAAQQQQMALAgSkXihl8ogAAggggAACCCCAAAII2FCAgNSGhUKSEEAAAQQQQAABBBBAAAEvCBCQeqGUySMCCCCAAAIIIIAAAgggYEMBAlIbFgpJQgABBBBAAAEEEEAAAQS8IEBA6oVSJo8IIIAAAggggAACCCCAgA0FCEhtWCgkCQEEEEAAAQQQQAABBBDwggABqRdKmTwigAACCCCAAAIIIIAAAjYUICC1YaGQJAQQQAABBBBAAAEEEEDACwIEpF4oZfKIAAIIIIAAAggggAACCNhQgIDUhoVCkhBAAAEEEEAAAQQQQAABLwgQkHqhlMkjAggggAACCCCAAAIIIGBDAQJSGxYKSUIAAQQQQAABBBBAAAEEvCBAQOqFUiaPCCCAAAIIIIAAAggggIANBQhIbVgoJAkBBBBAAAEEEEAAAQQQ8IIAAakXSpk8IoAAAggggAACCCCAAAI2FCAgtWGhkCQEEEAAAQQQQAABBBBAwAsCBKReKGXyiAACCCCAAAIIIIAAAgjYUICA1IaFQpIQQAABBBBAAAEEEEAAAS8IEJB6oZTJIwIIIIAAAggggAACCCBgQwECUhsWCklCAAEEEEAAAQQQQAABBLwgQEDqhVImjwgggAACCCCAAAIIIICADQUISG1YKCQJAQQQQAABBBBAAAEEEPCCAAGpF0qZPCKAAAIIIIAAAggggAACNhQgILVhoZAkBBBAAAEEEEAAAQQQQMALAgSkXihl8ogAAggggAACCCCAAAII2FCAgNSGhUKSEEAAAQQQQAABBBBAAAEvCBCQeqGUySMCCCCAAAIIIIAAAgggYEMBAlIbFgpJQgABBBBAAAEEEEAAAQS8IEBA6oVSJo8IIIAAAggggAACCCCAgA0FCEhtWCgkCQEEEEAAAQQQQAABBBDwggABqRdKmTwigAACCCCAAAIIIIAAAjYUICC1YaGQJAQQQAABBBBAAAEEEEDACwIEpF4oZfKIAAIIIIAAAggggAACCNhQgIDUhoVCkhBAAAEEEEAAAQQQQAABLwgQkHqhlMkjAggggAACCCCAAAIIIGBDAQJSGxYKSUIAAQQQQAABBBBAAAEEvCBAQOqFUiaPCCCAAAIIIIAAAggggIANBQhIbVgoJAkBBBBAAAEEEEAAAQQQ8IIAAakXSpk8IoAAAggggAACCCCAAAI2FCAgtWGhkCQEEEAAAQQQQAABBBBAwAsCBKReKGXyiAACCCCAAAIIIIAAAgjYUICA1IaFQpIQQAABBBBAAAEEEEAAAS8IEJB6oZTJIwIIIIAAAggggAACCCBgQwECUhsWCklCAAEEEEAAAQQQQAABBLwgQEDqhVImjwgggAACCCCAAAIIIICADQUISG1YKCQJAQQQQAABBBBAAAEEEPCCAAGpF0qZPCKAAAIIIIAAAggggAACNhQgILVhoZAkBBBAAAEEEEAAAQQQQMALAgSkXihl8ogAAggggAACCCCAAAII2FCAgNSGhUKSEEAAAQQQQAABBBBAAAEvCJzvhUySRwQQQAABBLwk0HqqzUvZJa8IIIAAAg4WoIXUwYVH0hFAAAEEEEAAAQQQQAABJwsQkDq59Eg7AggggAACCCCAAAIIIOBgAQJSBxceSUcAAQQQQAABBBBAAAEEnCxAQOrk0iPtEQU++ugjeWzXbtGfLAgggAACCCCAAAIIIGBfAQJS+5YNKUtC4LHdj8nIsjJpaGjw/9TPLAjYQaClpUU+97nPBZLS1naKhyYBDVZyKRBaN3OZFq6NAAIIIOA9AQJS75W5a3M8acIEWbJokZz54Iw/j/pTP5ePGePaPJMx+wu0t7dL5fQ7ZeL4W+Svf/2rfHnAAH+id//iFzL+5ptl/3P77Z8JUuhKAa2bc+fMCdTNfv36BT00cWWmyRQCCCCAgO0ECEhtVyQkKFmBo0eORjz0ndZ3Im5nIwKZFNAu4/fV3SdXj7hKmpuaApf69Kc/HVjXujm7utofsJ48cTKwnRUEMimgdbNh+3Z/3dy3d1/gUh988IHk/12+9O7dJ7CNFQQQQAABBDItQECaaWHOnxEBq/Ghffv1lbJrrhH9yYJALgSMruNbt2wJu3ykuqkB6/Xl5bJqxUq68YaJsSGdAtoir8Ma1q2tCTvttO9+V146fFimTJ0S9h0bEEAAAQQQyJTAeX/zLZk6OedFIBMCekO1+b46idTyqTdUM2bNlMLCQv+Nfd3GTfLIzp0Rk7Fl61apGFsR8Ts2IpCMgI7FWzBvXsS6OW78OJm/cGGgbj5U/5BEClj1QcrMWbOksqoqmSRwDAIRBbRubt3yQFBrvbHjqNGjZdHixTJo8CBjEz8RQAABBBDImgABadaouVCqArFuqKpn3y0lJSVhl7E6btjwYbJk2bKIx4WdiA0IRBHQsXjLliyNeLN/WfFlsmHTpoh1TLvp1q5bF/W45b4W09Ky0ihXZTMCsQW0btZvezDigzmtm3PumcuDudiM7IEAAgggkEEBAtIM4nLq9AhY3VBpa9Lqe9fEdUNl1bJqbr1KT6o5ixcEtOv47l27InZ/1Lo5f8FCuXXKrTEpDh86LKtXrYzYsqqtV2tq1vpbVmOeiB0Q6BEw6uaD27YFJnozcIxW+ClTp/rGi/Y2NvMTAQQQQACBnAgQkOaEnYvGK6ATb0S6odLjFy9d4hvrlNgNldVNWrLnjDcv7OcuAX3AsfyHy8Ju9jWX1bNny10z7kr4Zt+qvid7Tnepk5t4BKwevpmHNcRzLvZBAAEEEEAg0wIEpJkW5vxJCVi1GKWjNdOq1ZVubEkVmWcO0i7gNWvWSKRZndMxFk8fmkQb+5xIq6tnCoSMBgSsuoAzPCHAxAoCCCCAgM0ECEhtViBeT062b6isxpdqcBFtXKrXy8mL+deHGBvXrxfzazIMB32Ike7xnlZ1k+DCkOenCsR6iBHvsAY0EUAAAQQQyIUAAWku1LlmmECsG6p4x+KFnTjODVbdL+niFieiS3czunlHek2GMRYvkzPiWnW/TEdvAZcWm2eyZdXNO5lhDZ6BI6MIIIAAArYRICC1TVF4NyH6zsaNG9andSxeMpq5DjySSTPHZFbALg8qjLqZzvHUmZXj7JkWyPSwhkynn/MjgAACCCBgCBCQGhL8zLqAdkmM9s7GXM4smu2umVmH54IxBay6y+ayK7fV2GdtraVrZsyidfwOWgeSecWQ4zNOBhBAAAEEXCtAQOraorVvxpxyQ6VBSSYnr7FvCXk3ZVYBn50mu4pVNxn77L46rK3kD9U/JFu3bAnLHJNdhZGwAQEEEEDAQQIEpA4qLKcn1eh2GG0sXqbHiSbrF6vb5tz58xJ+vUeyaeG4zAgYddNpXWJj1c0Zs2by/tLMVJmsntUuwxqymmkuhgACCCDgGQECUs8UdW4zGuvG2e5BnRGwRAumZ86aJZmc2Ca3pefuq2vd3HxfnbzT+k5YRp0waRB1M6zYXLPBrsMaXANMRhBAAAEEbCFAQGqLYnBvImJ1LVy0eLEMGjzIMQDapdPq1R8bNm2SkpISx+THywnVurl1ywPS3NQUxuDE16rEqpvpfi1NGBob0iZAWaaNkhMhgAACCDhAgIDUAYXkxCS6/YaKlgsn1sqzadYWxbqNm+SRnTvDMuGGsXix6qbTHgKFFZKLN9Da7eLCJWsIIIAAAlEFCEij0vBFMgLGDVWksXjZeGdjMmlO5RjGdqWil/1jrd7ZWD17ttw14y7XjAe2qpv6bl27d5PPfu3I7RWdPqwht3pcHQEEEEDAyQIEpE4uPZul3Wosnt4Au3WCFQ3Cmf3SZpUxJDlW72zM5SuGQpKZ9o/UzbSTpv2EsYY1MGNy2sk5IQIIIICAzQQISG1WIE5MjtVYDhgJWQAAQABJREFUvFy+szHbltpNOdr7AZ04JjHbfpm43skTJ6V23bqI40T1NS5eGVdpVTfVgbHPmah91ueMNaxhzj1zpWJshfVJ+BYBBBBAAAEXCBCQuqAQc5UFbX2JNhbPTu9szLaP1Rg+J8zamm2vTFzPqm66set4vIZebSmO1ycb+2nd3L1rl1gNa5gydapruo5nw5RrIIAAAgg4W4CA1Nnll7PUW43FW7x0iXBDJWI1hg+jzFVdq7rJ2Mmz7lZG1M3M1U2rYQ08rMqcO2dGAAEEELC3AAGpvcvHdqmzamHhhiq8uGK11K2+dw3d8sLZktpi1TLtpa7j8eJRN+OVSn0/q2ENdOdP3ZczIIAAAgg4W4CA1Nnll7XUW41B44YqdjFYjWXEL7af1R5WddPLXcetzMzfUTfNGuldJ+hPrydnQwABBBBwpwABqTvLNW250hsqqxlkaeFLjNqqhdnNMxEnphTf3lZ1U89A19P4HI29rOomvR8Mpfh/0i06fiv2RAABBBDwtgABqbfL3zL3jIG05Enpy2g3q8aEO4zBtea1qpsET9Z2Vt9qkM+EO1ZCsb+zCuzd/Iqh2DLsgQACCCCAQGQBAtLILp7eGmss3pqatVJYWOhpo3Rk3qo7H11NIwtb1U26Pkc2S2ardoOu3/agPLJzZ9jh1M0wEv8Gq67PasardSK7sRUBBBBAAAECUupAQCDWe/G4oQpQpXXF6kZWW1QWLV4sgwYPSus1nXYyq3Gi2qpM1/HMlKjVZDzUzbPmVl3HtW7OX7BQbp1ya2YKiLMigAACCCDgAgECUhcUYqpZMLrprVtbE3YqbqjCSDK2weqVEF59XYlV3dSCqJ49W+6acRfvbMxYrTx7Yq2by3+4TM58cCbsSl6tmwph1XXcyy5hlYQNCCCAAAIIWAgQkFrgeOErqxtNbvazXwOMAOzBbdvCbv6N8aWVVVXZT1gOrmhVNxmLl/0CMepmtAdXM2fNEq/UTauu47QcZ79uckUEEEAAAWcLEJA6u/ySTr3eUNWsWSNHjxwNOwc3VGEkWd8Qawzf8hUrpbSsNOvpysYFreomY/GyUQLW14jVtd/NddOq67jWTTfn3bpW8C0CCCCAAALJCxCQJm/nyCO9HOg4scCsxvBt2bpVKsZWODFbUdOsraKzq6vDvvda63AYgA03WD04cFsLtrYOW73+ykutwzasiiQJAQQQQMDhAgSkDi/AeJNvdLejK2i8YvbaTwO1zffVyTut7/gTpgHai4cOuW7spNbT8TffHMinZpaxePaqi6GpsRpH6YZu/1Zdx7Vuzpg1k1nHQysFnxFAAAEEEEhAgIA0ASyn7mr1Xjxu9p1TqsZDBR3DV1Nb69qZO41WUrqOO6tuWrUgOnGm2VgtwNWz75aSkhLnFBIpRQABBBBAwKYCBKQ2LZh0JIvXiaRD0X7n0G7Xbn8PrAalbuuObL+alP4UWY2xdMp7YjUPG9evl31794UB8Q7WMBI2IIAAAgggkLIAAWnKhPY7gbak1W3cxEvt7Vc0pAgBTwho6+KCefOCul4bGR83fpzMX7jQdg9VzD0QjLSafy5eukSmTJ3qum7y5jyyjgACCCCAQC4ECEhzoZ7BazZs3y5W40S5ocogPqdGAIEgAavxpXYK8ELHaJszYdcA2pxG1hFAAAEEEHCyAAGpk0vPlHarFgkm3jBBsYoAAlkVsOqxoZNzrb53Tc66Z+vvza1bHpDmpqYwE6d0MQ5LOBsQQAABBBBwmIDzA9K27TJuVI286Ye/UhY3PyqVRfkJFEOnNC+4USob2/3H9Jq8Q97YMEoSOUMCFzPt2iEte56WI+8fl2frGuXNLtNX0keumFwl3xl8iQyf9D+kpCDP/GXE9W8OGyZnPjgT9B03VEEc7v4Q9P+BSP6wJfLc41VSHLvq9Lh0yantt8uYta/7P0f9/yDoOk76/83dxe+E3MUa057NSYKsXn+V6yDZCWVJGhFAAAEEEEinwKfSeTLOFYdAd5s0b18o4wZ/UybOXS3rakODUT3Hh/Jm432ybu0cmfiNkVK16YCc6rY+t7YyGIveUOk7Kh/fs4dZIA0Uj/3sOrpFFu44LjGqjcdUyG4uBQYNHiQNO34iDz/yiOjkQOZFWygnjr9FVq1YKRosZnLRYQ3fqaiIOMZeX1Ojr1NiQq1MlgDnRgABBBBAIFiAgDTYI6Ofutv2y9LxN0vl2khBaLRLn5amB+6SG8avkl+3fRJtJ/8NlLaI6rgsbqiiMnnoiw+lZcMq+Wlr9DrjIQyyaiOB0rJSOXDwoP93lT48My+P7NzpDxY1aEz3oq+/Kh8zxvegryasN4m+YujlV1+Re+bew6RF6YbnfAgggAACCMQQICCNAZSur7vbGqV66g9k97EPz52ycIzMWHqvNDS/Ja2n2s79a22ShuX3yKShfQL7dh17WGZMXS3NndHbvLRFtLKqihuqgJrHV7pelU3zfyat0auMx4HIfi4F9HfVs/v3i45xNy869ECDRg0eNYhMddGuwpXT75TvTZsWNuuvttQ+sfdJf8ut21+llKojxyOAAAIIIJApAQLSTMmaz9t5QJZOXSYH2o2BogNk9NIn5MirDbKg6h9lVFEv894ieUUyavpsqX26WRpnlZwbz9r+hCyraZLO4L35hEBUAbruRqXhCxsIaBC4YtVKf1CorZTm5Z3Wd/xBpAaTGlQmuuhkStoF+Pry8rBJi7RlVnuTaEttSUlJoqdmfwQQQAABBBBIowABaRoxI5/qY2mp3ySPm4LR8rqH5cGq4VIQ+QDT1v4yfGG9bJt8ac+2Lmlv3CQPtXxs2odVBEIEev2DTBpn1Bm67obo8NGGAhoU6vhSHfseaXypBpUaXGqQGc+iXX5HlpVFHCeqLbI6rEFbaFkQQAABBBBAIPcCBKSZLoOO5+XHDW/3XCVfCicvl9oJxRL35KdyoYxaslQmFRrz/rbJc796i8lqMl1ujj7/l+T6paY6Q9ddR5emlxKvkwntfeopf+tlaL51fKkGmfpu02iLvsbFapzoCwcO+Ftke/fuHe0UbEcAAQQQQACBLAsQkGYUvFs6XnxeDhs9dfOHyx0zSuNoGQ1JVEGpzKyp7Rlr+ra8tHB4AgFtyLn46A2BgtGyqGaiFPbklq673ih2N+RSg0VtvdRJhsaNHxeUJR1fumTRIn/QqcGnsejMvNq1V2fq1a6+5kVbXHVmX22B1Zl+WRBAAAEEEEDAXgIEpBktj/fkpf2vSyAeLZsk44tDxovGdf1eMnD0LeFjTeM6lp28KZAnBaPnyJpAd2+67nqzHjg31zq+tG7zZv/4Up1B3Lxo0KnBpwahtetq5eoRV0UdJ6otrjqzLwsCCCCAAAII2FOAgDST5dL1e/nty8YURL1kyIivS/9MXo9zIxAkENLdm667QTp8cIaAji/VGcR1fGnoa2L0/aXb6+vDMqLjRHUGX2YdD6NhAwIIIIAAArYTON92KUopQa/LulGXy7qUzpHGg0+flOOB10AWyJDiL6bx5JwKgTgEerruHp6+S9p9u5/tulsqj1UNSUO3b5v9/xYHB7s4V0DHl5ZdUya7d+3yvxbGyMlnPvMZ+c///E//R52pt3r23cyca+DwEwEEEEAAAQcI0EKatUK6QPr1/busXY0LIXBWgK671AT3CJjHl5b5JjjSRYPRfv36+VtQdZwor3FxT3mTEwQQQAABbwgQkGatnD8v/QqMmXKzdlEuhIBPgK67VAN3Cej40qtL/yGQqQ8++EC0BZUFAQQQQAABBJwn4LIuu1fK4uZHpbIokcCvU5oX3CiVjdqh0Wrpls6WZ+SxXT+VzY3HeiYq8r3GZcwdUnn7FJk2uihGF8g/ysm2v4oUxX77qFUq+A6BpATCuu4+KttfGie1oy9M6nRnD8rk/28pJItDEUAAAQQQQAABBBwjQAtpXEXVIUfWT5IR4+fIhkAwqgd2SfvBh2TN9Oul7K5GOdUdcrIL+suFicTGIYfzEYH0CYR23X1XHl+yWZo7Qytt+q7ImRBAAAEEEEAAAQQQiCVAQBpLSHwto0118s/bWnzhZx+54ratcrC1TVpP+f61NknD3WN873r0Baa/WiPzdhz37W1aCi6VwRcZEWmHvPJ6a/D3pl1jrnYek+aWjpi7sQMC0QVCuu62PyHLaprEmAc6+nF8gwACCCCAAAIIIIBAZgQISGO5dr8hDy1/wjdDqa977uQ6ebimQgbm9RyUVySj5v2LPDDrct8G33sedz4lx8wRad7FMugrn+vZuUvee/vdJG/+u6Xj4AMya/w3pXjg5XJ1pNbYWPngewRUoKBUqu4c7qvNuvgepDSuldqm9/2f+A8CCCCAAAIIIIAAAtkWICCNJf6Ho/Kb012+vYrk5qlXS/gI0M/K16/8hvTS8/zvD6Tz/5pPeJFcU3Flz82/7/b/0OOytzXwHhjzjjHW35OX9r/uCx906ZKO7vOljxEUxziSrxEIFuglxdNXyLxhfXo203U32IdPCCCAAAIIIIAAAtkUICCNpV1UJfu0e+6pF2RByWcj7P2+/Ovzr4k/zPxCPykIEs2T/mMmybjCnm67XUfkp/WHE24l7W75mfzooNGxskBKK0ZI/wgpYRMCcQnkDZE7Ns6WEqM3eU/X3TNxHcxOCCCAAAIIIIAAAgikTyAofErfab1wJp11d5/UL6iUWY3v+jJ8qUxaPV1KQlsuw7pIrpZFexIYS9r5itSteFROG6SFN8ptYy4yPvETgaQE8or/SdYvGGHqunuvrHrmj0mdi4MQQAABBBBAAAEEEEhWgIA0YTl9TcxVvrGcg2R4z6y7MnSq1O7dE+UVGqFdJE/Lgbnfk5nbj8RsKe1u2y9Lp82Q+mMf9qTSF/TWzJFRBaFRb8KZ4ADPC4TWy3Z581isVx95Hg0ABBBAAAEEEEAAgTQLEJAmDPof0nrc6D579uCuY7vkhysekF+3RRkfGtpF0tfe2bR2ooy4aaHUb98nLUGv3jjb8tqwvlLKRlXL7kAwqpMqLZVFKb03MuHMcoCbBcLqpZszS94QQAABBBBAAAEE7Chwvh0TZe80XS6VT78llf5EdkhLY52sWrrL17r0sMyY+v9Jw/P3RmzBzCueLg2NIvNnbZSm9p7piY41ygbfP1k7J0aW9XUztXL/veURJlWKcShfI2AhcLbrbpOMXftqz6RZFjvzFQIIIIAAAggggAACaRaghTQl0P5SMvleeXj33XKFThDjmxxmZf0bUd41micFJVWy/fnHpHby0MDMuzEvXzhGqnc8JXvMr5uJeRA7IBCvQGjX3XiPYz8EEEAAAQQQQAABBFIXICBN2dAXaA6fKtPK9IUwXXL65aNiOTVMQYlM2vCUHH/jSdm4dIksiBicDpDRsxbJ4ron5cirDXLP6CJh1GjKBcUJognQdTeaDNsRQAABBBBAAAEEMixw3t98S4av4YHTd8mp7bfLmLWvi/SaLA1vrpdRxis1PJB7sogAAghkW6Bh+3ZZt7YmcNlW3+u5WBBAAAEEEEDAeQK0kMZVZr6xok3HLGbF7ZIzH/yfuM7ETggggAACCCCAAAIIIIAAAmcFCEgta0K3dOy5S4YM/KZMnPGANHV0R9m7U9re/g//d/lXf1uG0joaxYnNCCCAAAIIIIAAAggggMA5AQLScxYR1vKk/8gbpFQDzK4XpW59U4RW0k/k1J51UndQXwVTIKUVI6R/hDOxCQEEEEAAAQQQQAABBBBAIFiAgDTYI/xT/wpZtGCEb1bcLmlvXC3z1z957r2h3W3SvOluuX3us9Lu26PwusWydNyXws/BFgQQQAABBBBAAAEEEEAAgTAB3kMaRhK6QV+LUSMPtP1A7v7FMWnaNtf/L3gvXzA6Zr48sGGCDGQ63GAaPiGAAAIIIIAAAggggAACUQRoIY0CE7Q5r0iurXlMnt+xSmaMGWD6SgPRu2TZjhfk0E+qpKSAaNSEwyoCCCCAAAIIIIAAAgggYClAC6klj/nLXjJw9DRZoP/Mm1lHAAEEEEAAAQQQQAABBBBISoAW0qTYOAgBBBBAAAEEEEAAAQQQQCBVAQLSVAU5HgEEEEAAAQQQQAABBBBAICkBAtKk2DgIAQQQQAABBBBAAAEEEEAgVQEC0lQFOR4BBBBAAAEEEEAAAQQQQCApAQLSpNg4CAEEEEAAAQQQQAABBBBAIFUBAtJUBTkeAQQQQAABBBBAAAEEEEAgKQEC0qTYOAgBBBBAAAEEEEAAAQQQQCBVAQLSVAU5HgEEEEAAAQQQQAABBBBAICkBAtKk2DgIAQQQQAABBBBAAAEEEEAgVQEC0lQFOR4BBBBAAAEEEEAAAQQQQCApAQLSpNg4CAEEEEAAAQQQQAABBBBAIFUBAtJUBTkeAQQQQAABBBBAAAEEEEAgKQEC0qTYOAgBBBBAAAEEEEAAAQQQQCBVAQLSVAU5HgEEEEAAAQQQQAABBBBAICkBAtKk2DgIAQQQQAABBBBAAAEEEEAgVQEC0lQFOR4BBBBAAAEEEEAAAQQQQCApgfOTOoqDEEAAAQQQyJHAfXX3yS/37w+6euX0O/2f/9vXviYXXNBHhn/zm1JSUhK0Dx8QQAABBBBAwH4C5/3Nt9gvWaQIAQQQQMALAh999JG0HG2R119/Xf7f//W//Flu2PETy6xr8Nnc1GS5z5atW6VibIXlPnyJAAIIIIAAArkXoIU092VAChBAAAFPCbS0tPgCymZ55Tcvy9EjR4Py3rdf36DPyX64+EsXWx6qgfDuXbtk5MhRMmjwIMt9+RIBBBBAAAEEMidAQJo5W86MAAIIIGASaG9vl+9UVMiZD86Ytgav6ne6X2FhYfAXpk/l110n7777rrzT2hrYOmr0aN+2U75t7/i3XXyxdUB66KVDsm5tjf/fZcWXyY0VY+W222+zvG7gYqwggAACCCCAQNoECEjTRsmJEEAAAQSsBDTI7Nu3b9SAVAPDoUOHWp3C/92tU26VDz/8iz+YNHaO1c3X2M/4+fpvf2us+oPYrVu2iP4bNnyY3OHrEkx33wAPKwgggAACCGRUgIA0o7ycHAEEEEDALKAtkRr46aIB6D/8Q6lc+a1v+QNBq1ZR8znSsf6v/3o44mm0C7H+W/7DvrL5/h9JaVlpxP3YiAACCCCAAALpESAgTY8jZ0EAAQQ8L6DjMnv37m3pcNNNN/m/15+5HLt54OBB0bGsT+97Sp555umwVlvtOty7j3VeLDPKlwgggAACCCAQlwDvIY2LiZ0QQAABBKIJaCCqr2L571+/wh/kRdtPt2sQes/ce3IajBrp09fCrFi1Un539Kg8/MgjMm78OOMr0TGpvDYmwMEKAggggAACGRMgIM0YLSdGAAEE3C/w2O7HZGRZWaAb7tYtDzgy09o1t27zZnn51VekevZs37+7HZkPEo0AAggggIDTBOiy67QSI70IIICADQROnjgptevWhb0PVN8Pql1hndq6qONYtQWXBQEEEEAAAQSyI0ALaXacuQoCCCDgGgFtFb2+vDwsGNV3iC5eukQGDx7smrxGy8jhQ4flm8OGif5kQQABBBBAAIHkBQhIk7fjSAQQQMBzApW+V6IsWbQoLN/TvvtdefHQIamsqoo5sVHYwQ7boGNm5/zg+/6JkL43bZp//KzDskByEUAAAQQQsI0AAaltioKEIIAAAvYXKL/uuqBE6qtbntj7pH9yoFgz7AYd6OAPdRs3Bc3Kq6+xmTRhgrS3tzs4VyQdAQQQQACB3AgQkObGnasigAACjhS4dcqt/hloNfE6+c/ep55y7HjRZAtg7vx5AQPjHPru0u9UVIiOrWVBAAEEEEAAgfgFCEjjt2JPBBBAAAGfwP3/8iP/a1J08h+vtIqaC17z3LDjJ1JTW2ve7G811bG1+5/bH7SdDwgggAACCCAQXYCANLoN3yCAAAIIRBDQgExfk+L1RVuLXzhwQHQyJ/Myu7qallIzCOsIIIAAAghYCBCQWuDwFQIIIIAAAlYCgwYP8k/mNGz4sMBuOsGTbmdBAAEEEEAAgdgCBKSxjdgDAQQQ8IyAziCrr3VhiV9AW4x/unOnjBs/TjQYXbFqZfwHsycCCCCAAAIeFzjf4/kn+wgggAACJoEf/PP3/e8XPf7WWwRWJpdYqxqU1m3eHGs3vkcAAQQQQACBEAFaSENA+IgAAgh4VWDVipX+YFTz/4ivxe++uvu8SkG+EUAAAQQQQCBLAgSkWYLmMggggICdBTT41CDUvAwZMsT8kXUEEEAAAQQQQCDtAgSkaSflhAgggICzBPQ1JVu3bAlK9JatW6VibEXQNj4ggAACCCCAAALpFiAgTbco50MAAQQcJHDyxEnR15SYl+rZswlGzSBpWm/Yvl3Kx4wRnTiKBQEEEEAAAQTOChCQUhMQQAABjwpoYDRr5oyg3OsssffMvSdoGx9SE1DnuXPmyLq1NfJO6zuy4oc/TO2EHI0AAggggICLBAhIXVSYZAUBBBBIRKDlaIs/QDKO0Xdpzp0/z/jIzzQJaED60ksvBc62b+8+Xq0T0GAFAQQQQMDrAgSkXq8B5B8BBDwrUFpWKi8cOCCXFV8mffv1FR03qq8vYUmvQGFhoWy+/0dBJ12yaJFod2kWBBBAAAEEvC5AQOr1GkD+EUDA0wKDBg+SvU89JbsfaxQNnFgyI6DBv47NNS+LFy00f2QdAQQQQAABTwoQkHqy2Mk0AgggcE5AW0U1MGXJrMBdM+4S7RZtLEePHBWd6IgFAQQQQAABLwsQkHq59Mk7AggggEDWBDTwX1e7Puh6D27bJu3t7UHb+IAAAggggICXBAhIvVTa5BUBBBBAIKcC2hJt7rp75oMzcuLtEzlNExdHAAEEEEAglwIEpLnU59oIIIAAAp4T0K67OpHUuPHj5OVXXxEdX8qCAAIIIICAVwXO92rGyTcCCCDgJQF99YguzKKb+1LXMtCJpCiL3JcFKUAAAQQQyL0ALaS5LwNSgAACCGRcYPeuXTKyrMw/iY4RnGb8olwgqgDBaFQavkAAAQQQ8JgAAanHCpzsIoCA9wQ0ANXJc3S84rq1NTL+5pu9h0COEUAAAQQQQMCWAgSktiwWEoUAAgikT0BbRzUYNZZbp0wxVvmJAAIIIIAAAgjkVICANKf8XBwBBBDIvIC2jhpL3359ZcrUqcZHfiKAAAIIIIAAAjkVICDNKT8XRwABBDIrsP+5/UGto7fd/o9MppNZcs6OAAIIIIAAAgkIMMtuAljsigACCDhN4Mk9e4KSfNvttwV95oN9BHSs73PPPudP0K1TbrVPwkgJAggggAACGRQgIM0gLqdGAAEEcinQ3t4uzU1NgSToey8LCwsDn1mxj8B9dffJ1i1b/AnSd5QSkNqnbEgJAggggEBmBeiym1lfzo4AAgjkTODZZ54JuvaYa8uDPvPBPgIf/uUvgcS80/qOnDxxMvCZFQQQQAABBNwskLfSt7g5g+QNAQQQ8KrAeZ/6lPTq1Uv+8Mc/yGc+8xnZWLfJNRSat+JBxVJaVur/N2z4cEfnbcCAAfLzn/0skIfPFxTIVf/PVYHPrCCAAAIIIOBWgfP+5lvcmjnyhQACCCBwVkBb3AYNHgSHjQXKx4wRbR3VRbvtHjh40MapJWkIIIAAAgikR4Auu+lx5CwIIICArQUIRm1dPP7E3VgxNpBIuu0GKFhBAAEEEHC5AAGpywuY7CGAAAIIOEPgyiuvDErokSNHgj7zAQEEEEAAATcKEJC6sVTJEwIIIICA4wR0PKx5+e1rr5o/so4AAggggIArBQhIXVmsZAoBBBBAwIkCo0aPDiT7pZdeCqyzggACCCCAgFsFeA+pW0uWfCGAAAIIOE7glgkT5JJLLpEhX/2qDHf4zMGOwyfBCCCAAAI5EWCW3Zywc1EEEEAAgcQEOqRlz9Ny5P3j8mxdo7zZZT46XwrH3CF3jLhEiq+dKKOKepm/ZB0BBBBAAAEEbCxAQGrjwiFpCCCAQDICLS0t0qd3H5e85sUXiDbWyaqlu0KC0GgyGpzOkjXLZhGYRiNiOwIIIIAAAjYSICC1UWGQFAQQQCAdAsUDiwKnWbx0iVRWVQU+O2mlu22/LP/+Itl97MPEk50/VKb8+H5ZXV4keYkfzREIIIAAAgggkCUBxpBmCZrLIIAAAtkQOHniZDYuk/FrdLc1SvXUZXKg3dQ31xdkTpo7Tr717ZvklpL+59LQ3SbNO38lr7/8c6k/ePrs9q5jsrtqmnTUPSxbJxQTlJ7TYg0BBBBAAAFbCdBCaqviIDEIIIBAagLaXXfi+FsCJ3li75NSUlIS+OyIlc5XZMO0GVIfaBntI1fcViv331shAy2bO7uls2WHzJ+1UZoCgeylMmnH41I7+kJHZJ1EIoAAAggg4DUBXvvitRInvwgg4GqBt3//tsPz97G01K80BaMDpLxur+ypiRWMarbzpKCkSh7ctUbKC/N7HN6Vx5dslubOboe7kHwEEEAAAQTcKUBA6s5yJVcIIOBRgQ8//EtQzh3XOtrxvPy4wQiqfRMUTV4utQl2uc0rmixbH50vJUZM2v6ErKx/QwhJg6oGHxBAAAEEELCFAAGpLYqBRCCAAAIIiPhaRxvqpckYNpo/UuYuHC0FSdDkFY+T6vGX9hzZJaef+bUcc0hE+tFHH4l2vTb+6WcWBBBAAAEE3CpAQOrWkiVfCCDgSYE/nf6Tg/N9Wo68/IdA+vPLbpBr+lsOGg3sG75yoZRNvVEGGF+cbpIDxz42Ptn654kTJ/zjgHUssP5rOdpi6/SSOAQQQAABBFIRICBNRY9jEXC5gLbM3Fd3n8z5/g+EVhpnFPYf//jHQEKHDR8WWHfESse/yWtvfdKT1AIprRghprl0E85C3tBrZewAo9/uH+Q3v+uZgTfhM2X3AH2HrHn5/e+Pmz+yjgACCCCAgKsEeO2Lq4qTzCCQPoHHdj8mGzeslzMfnPGf9PDhQzJz1izHvtMyfTL2PtN/+9rXAgk0rwc22nnlLx3yvtFdV74ogy9LprOuKYN5F8ugr3xO5HSnb+MncuLEn6RLLhcjRDXtaavVQYMH2So9JAYBBBBAAIFMChCQZlKXcyPgQAEdt1azZo0cPXI0KPUamK5bWyOP7d4ty1eslNKy0qDv+WAPgZtuuklGjR7lT0xoS5s9Uhg9FV1tJ+VE4OvPS7+CVEPHz0rf/r0CZ/zk+En5k4ySgYEtrCCAAAIIIIBArgUISHNdAlwfAZsItLe3y8b162Xf3n2WKXqn9R353rRpvqBntCxavFhozbHkyvqXtevWSXNTk/+6WkYNO36S9TRwQQQQQAABBBBAIF4BxpDGK8V+CLhUQMeGNmzfLlePuCosGO3br68sXrpEVqxaJbpuXjToub683D/GlPGlZhnWEUhNgP+fUvPjaAQQQAABZwkQkDqrvEgtAmkV2P/cfhlZVubviht64mnf/a48u3+/f8zotO9OkxcPHZLq2bNDd5OtW7b4z6FjTlnsJfDGG86anfVTffvJF9JK+LGc6TAmSRLpNWSQfDmt58/MyXSWXfPSp88F5o+sI4AAAggg4CoBAlJXFSeZQSA+AR0nWjn9TpldXR2YtMg4UmdmfWLvk75W0ZVSWFhobJbevXvLPXPvkRcOHPB31w184VvR8aVLFi2S8jFj/O9ONH/HenYFzBMZGRNSZTcFyV8t7+8Hy+WBYaMn5LWj7yd/Mj2y+89y8vd/7TlHvnyh/wXixD96l3/l8tQcOBoBBBBAAAEbCzjxb7ONOUkaAvYW0HGiq3wTEum7DY1xhkaKtUvulq1b5fE9e6SkpMTYHPZTx4zquMSHH3lELiu+LOh7HV+q59ZgV6/Fkn2BCy4IfmVI9lOQwhX7j5Aby4yZdTvl8P5XpSOF03Uf+7U8d7qr5wxFMva6r0qybzVNIRkJH3rxxRf7eyPoGGD957TJqRLOMAcggAACCHhagIDU08VP5r0koONEv1NRIY/s3BmWbR0nql1yK8ZWhH0XbYPOsnvg4EH/GNNI40t1TKpek/Fw0QSzs91ZDwYukmsqrgy8lqXr0PPyUkd3klDvy6Fdv5TTxtGFw+XKok8bn2z9U3smaG8EffCj/5g4zNbFReIQQAABBFIUICBNEZDDEbC7wOFDh/1dafWVLaFdOMeNHycvv/qKf5yodslNZqmsqvIHszrmNHTRa+oYVR2rypIdga98ZUjQhf785z8Hfbb3hzzpP/IGKTW67Xa9KHXrm0TfIpro0t26T7bufbfnsHwZMH6ClBU4oX000ZyyPwIIIIAAAs4WICB1dvmRegSiCpw8cdLfdVZf0aJdac2LdrXVcaJ1mzcHjRM175PIugazOuY02vhSHas6acIExpcmgprkvr37BD9Y+PO/2y8g1bqpD0oiLv0rZNGCET2tpF3S3jhXKrcfl0TaSbvbGqX69o3SYvTWLZwoK2d8wxHddSOasBEBBBBAAAEXC5z3N9/i4vyRNQQ8J6BdZOs2borYNVe71s5fsFBunXJrRl20RXTzfXVhgbBeVFtSZ8yamZZAOKOZcOjJtfz///buPrrq6s73+KdN6WWqOKnUMXOLS1Ieyh/VaYhYHBdIiLQ11gEqBKIuVEiALGRansmDPJOEkIgdoCEkF8VeC4RHEblUSlJhOnrHQixMb6mC0RHbOA6aW6rXrkxm7tkHzuHkPOWccE7y2+e8f2vFnPP77d/+7f3aP9fim/30w7//gW655RZ9dcBXNWZMlmOGfJqyba3d6l6Z2fCa3nnfhbO85B1nVT85V+WnLl051U+3PVShp1fnaGDYTs4OtTVv06LC9Wps9USjt2rytt2qGHuTN3s+IIAAAggggIBzBAhIndMWlASBaxYwW6+sr1wXMDTXZGy2bJk5a6Z7tdxrflAEGZjgY+eOHdpSUxNQHhMYzy4s1NS8vB4rTwRFJkkcBYK9m+aPE6ZnPdjh7uXMK9VRb2DpSpWWrVkzxmjEvZOUld736m0dLWra/rJe/+X/VO0x76xR1/UBGlf9rDY/OIje0atafEIAAQQQQMBRAgSkjmoOCoNA9wTMNi6LFy4M2iNpVulcWlTUa71kZlGd2potQXtszdDhefMXRLWYUveEuKu3BMK9m6b9zcJYIY+2V1U5bZZqT3t6SkOmDLzQ53ZN/fHTWjUunWA0UIczCCCAAAIIOEaAgNQxTUFBEIhewAR7pcUlAVu4mJzMP/aXubZ4MavhOuEwgUnZmjU6dfJUQHF6O2gOKBAnrlnAvJvr163Tgf0HAvKKbuj4RTU3VGtlyQ6d8YzCDcjR90QfV0dqodaUFnbuRfVNwmcEEEAAAQQQcIwAAaljmoKCIBC5gP9cPN87PcNhzeq3TjzM/NJlT5YGDOM1ZTVDOBcsWsgwXic2XIRl8gzVNissBzu638auwHTvQZ388KwOVTf4BacmCH1cj4+8RYP8h/MGK4SDz5k/3Jh9R9nqxcGNRNEQQAABBGIqQEAaU04yQyD+Al0FdDYsGBQuaHF6QB3/Frb3CeHeTXrBI2tXsxq1GUVg/j946OFH3PuRRnYnqRBAAAEEELBTgIDUznaj1Eko0NWQ1zlzn1BGRoZVMuGGdTptyLFVsD1c2HDvJu0YeWOY/x/uHnmX94Zwiz55E/EBAQQQQAABywUISC1vQIqf+AJdBW2JsCiQCWjCLcq0pmxt8O1BEr/5HV1D826GWrCKnu7om870MJs9ez3Hs88955g54J4y8RsBBBBAAIFYCxCQxlqU/BCIkYBnWGuwbVPMI4pKihNu25RgW4N4OHt62xrPc23/fe6tczp48KCGDRsWs9WMu3o3Tc+eDUPHnda2C+bN67QI1K//5QzzqZ3WSJQHAQQQQCDmAgSkMSclQwSuXcD0lGx4qjroNi4TJk7QoiVLErbH0AQ7W2u3avPGjQGQptdt0eIlmjJ1SsA1TgQKjMvO9r5DwzOHa/fevYGJojxz4vgJrXLtHfr2+bcD7jTzRG0cOh5QkV44Yd77v/nGbd4nm//Pqzds8H7nAwIIIIAAAokq8PlErRj1QsBGATN0NX/6DPewPf9/8JuAYs/+fe5/pKalpdlYvYjKfP3117sXcvnla6/KBDi+x8cffazipUtlAi1jxRFe4Pbbb/cmMAvlmCG23T1MT6t5Nx+bNi0gGDXzRDdu3qz6bf/DunnM3fWI9X3HXzneKcvse8d1+s4XBBBAAAEEElWAHtJEbVnqZZWA6R2pXl+l57ZvDyh3svcKhptfmui9xQEvQ5Qn/OckmmHe0W4H1NW7ObuwMOGGjkfJHJPkntV1PZkxXNcjwW8EEEAAgUQXICBN9Bamfo4XqK+rU6h5osybvNp84ZwScT7t1Zpf26c7hg/37vlqejKPHjsWcYbhzPljQMSMXSb0X12X4bpdkpEAAQQQQCCBBFJWuI4Eqg9VQcAaATMXL3/6dL34wkF99v8+61RuM1T1+R0/1bhvj9MXv/jFTteS9cvwzEzXvowP69NPPtWvf/3rTgz/eOKEdu3cqQEDbtGQoUM6XUv2L3/4/R+8Xh9//LGGDBnapZHplZ72yCNB300zdHzjjzfr0cceY8GdGL1cZpj6lKlT9Rd/8SWdO/eWfjhvvm699dYY5U42CCCAAAIIOFuAHlJntw+lS0ABMxevorxcTY2NAbUzPViVVVXMwwuQ6XwinCEL63S28u99Mz5mrmeww6QtLS4J+m6aoeOrVq+J2Uq9wZ7POQQQQAABBBBIPgEC0uRrc2rcSwJdrR5r5uJFO7+vl6rimMeGW/GVrUeuNpNZjMj3DyBmcayMjAxvgnDvpknEkGgvFR8QQAABBBBAIMYCBKQxBiU7BIIJhNtf0wROCxYtZPhjMLgIzplgaueOHUHn4ZpePRbdkXtF4kkTv+/W9O+FNwsfLXuy1DvP1Jfc9KauKVubsFsM+daVzwgggAACCCDQOwIEpL3jzlOTRCDcCrHmH/tLi4o0eMjgJNGIbzXNcNPami1BVyo2Qdiy5Ss0avSo+BbCwbmvdNV/xJ13eofcmnezbM0ame1g/A//oNX/Ot8RQAABBBBAAIFYCRCQxkqSfBDwETDB0fp163Rg/wGfs5c/mn/sz5u/wBsYBCTgxDUJmEBr88ZNnYaoejLkjwBy70Ua6t1M9i2GPO8JvxFAAAEEEECg5wQISHvOmiclgYBn+Gj52rKA2jJ8NIAkrifCDUVNxmHS4d5N0xBsMRTX15HMEUAAAQQQQCCEAAFpCBhOIxCtQLgAiD0bo9WMTfpwQZjnDwTJsJCUeTc3PFWtt8+/HQBLr3EASdxPeHrxmZ8bd2oegAACCCBggQABqQWNRBGdLRBuLp7Zs7G4tLTTiqbOrk1ilq6rIdSJutWOJ/DxXWHX08LMq/VI9PzvcdnZ3j8OmBWMk+GPIj2vzBMRQAABBGwRICC1paUop+MEwi2iY3rf2LPRcU3mXm021EI+ibSirOkZrl5fFXSBp2TqGXbeGyjV19XJd0i/ee9C7QvrxPJTJgQQQAABBGItQEAaa1HyS3gBzzDQLTU1QbfKYM9G578C4YZX2z6X0gQ8od7NYHNnzfu8tXarZs6aydZDcX51TY+1Z/sdz6N+dvQoK217MPiNAAIIIJCUAgSkSdnsVLq7Al3NxWNOWHdle/4+TyC2eePGgIebXsRFi5doytQpAdeceuLE8RNatXKFdyiobzlDzRM999Y5Fc6e5b7HzHOu3rDB9zY+x1DAvG8Tx4/v1D4M140hMFkhgAACCFgrQEBqbdNR8J4UMP9wrygvD7qVCHs29mRLxP5ZZuh1aXFJ0La1YQ5wV+9muC2G7hg+vFMvf1lFhVVBeOzfhvjlmD99Rqd3zLxbu/fujd8DyRkBBBBAAAFLBAhILWkoitk7AqZXI9xcPNt60XpH0Y6nmuGUixcu7NSD5Sm5E1dJ7qqHd3Zhoabm5YUdhmt6VR+bNs1TTffvPfv3sQhXJ5Fr/+I/b9T0wB86fFhpaWnXnjk5IIAAAgggYLnA5y0vP8VHIG4C5h+RY0aPDrowjJmL94vjx+lNipt+z2eckZGho8eOyfQSmoDB9ziw/4DuHnmXe0EaEwj29rFr5y73uxlsuLF5N02wY1Zuvf7668MWddToUe79R30TFcyYIdPryhE7gT/+8VKnzDY8/SOC0U4ifEEAAQQQSGYBekiTufWpe1AB33l1/glCzcXzT8d3uwXC9YybIdrhhsHGs+bhenGvZXjx5Acf1KmTp7xFNwG5+YNLVwGt9wY+dClg5p/PnTPH/QeA+Qvmd5meBAgggAACCCSLAAFpsrR0JPVsqdOErDKdcacdoaKm55Wf3ieSO6+kaVPT4vuU39Dq/t43d5veqMxSNDlE8TC/pBfVvPegTn54VoeqG3Sm3fdyP92WW6DvDblFmZMfUEZqiu/FgM/BVsJkz8YApqQ4EW5+pvnjxJy5T/TI8NZw+6ia4PFatxgyAbj/gjsmwH1m+3aC0hi+6eZ9GjxkcAxzJCsEEEAAAQTsF2DIrv1tmNw16GhRU90STRhyhyYtWKXyCv9g1PBc0pmGp1x7/83TpG+OUUHVUb3TEZrNDN00W3+Yw/xj36yEuf+FF2SGN3Ikl4AJHswekc8+95zMHyV8j6bGRvcWHiuXr5AJGONxmEDRDB03w4XNsGH/w7ybpicz5/4c/0tRfTc9oTVbagOGKkeVCYm7FCAY7ZKIBAgggAACSShAQJqEjZ4oVe5oOaySieOVvzZYEBqqlhfUuGmmvjtxpX7e8lmoRO49GU1QGulcvJAZcSEhBMwfI8z8UhMA+s8vfc7Vi/i9nBx34BjLypohnmYOc/nasoBszSJLv3zt1YjmiQbcHOKECZZ27mpw18/MQzUrwDJkNwQWpxFAAAEEEEAgZgIM2Y0ZZQJkZNGQ3Y6WBs3JK9XRVp+xuWnZmjVjjEbcO0lZ6X2vNojpRd1+SD87UKfdp30WF0nLU/2R1crqYgjv1Yz4hIDcvaG1NVuCLnYVi6HdZsh42Zo1neZ0etxN/pVVVXEdJmx6e1n91SPObwQQQAABBBCItwA9pPEWJv/YC7QdVUmnYHSAxpbs0cnX6rW44JHOwah5ekq6sqbPVcXBJjUUZlyd09q6R6VljWqLfQnJMYEFTLC2fOUKme1RzDxS3+Pt82+7t1Exe05Gu1KtCQTN8N9JE78fEIyaXlmz+q/ppTVDyuN5EIx2T9f0aJvFoZywCnP3asBdCCCAAAII9I4AAWnvuPPUbgt8qubaKu329owO0LjqZ7WlIFOpXebZX5lLalWTe+uVlO1qbajS1uZPu7yTBAj4C5jA0Mwv3bh5c9D5pd8ZN84dYHYVoHjmiZphv2b4r/9hho6zxZC/irO+P1X9lHsFXbNS8eOu4c4cCCCAAAIIIBC5AAFp5FakdILAxSP6cf2bV0rSR2m5y1Tx4CCFXzfXt+A3Kau4RJPTPGv/tuill3+rMGsc+d7MZwQCBMyCQmbRq1DzS808ULNvaLDjxPET7tVtzTzRjz/6uFMS0/tq5omaLUKcNpczVH06VSAJvpg/JpjecN/9YE1Qahai4kAAAQQQQACByAQISCNzIpUjBDp08RdHdMIzbbRPph6fNSqCnlG/wqeO0uyyCtU3/Vbn33lTryzJjCKg9cuLrwi4BEzAmF9Q4F4Eyyw45HuYQLN46VKNy86WmR9qDjOc1wQyj02bJjPM1/cw80TNcGDT++rE4bOmN9DUxwxPjXZYsm89bf9s2tL8scGstux7mAWhpubl+Z7iMwIIIIAAAgiEESAgDYPDJacJfKBXDr8ubzw6erImDvJZvCji4vbVwLHfD5xrGvH9JEQguIAJIKs3bHAHlGYfT9/DBJ5mfuhj0x6VGc7rH8h4thjqiXmivuWK5rOZJ+npDTQ9gVOn5Ibs/Y0mX5vSml5RE5SbtvTv1Ta95GZ+sdN6tG3ypawIIIAAAsknQECafG1ub43bf6d//qVnCaK+GjbyG+pvb20oeQILmPmlZtsUM7/Uf5uY999/P6DmplfNzBM1vaw2HZ7e3+4s4mRTPX3LevyV496g3HPetLHZq9a29vOUn98IIIAAAgj0psAXevPhPNvJAq+rPGuoyp1UxAvndNa7dWiqhg36KyeVjrIgECBg5peOvme0du7Y4d1P9M9//rOuu+46ffLJJ+5VepcWFcnsAWrDYeozdOhRFc6e1WmosentNT9mAaaZs2YmdA+hMdi3d6y3h9vM9V1TttaRw6tteKcoIwIIIIAAAvSQ8g5YKnCDbvzyFy0tO8VOJgHP/FKzQJE53r9wwR2MFsyc6Z4naksw6mkzU16ziJMJPv0PM5zX9CAm+mECUDPX12zF49S5voneBtQPAQQQQCBxBAhIE6ctk6wmf6kbUz0r5SZZ1amulQL+CxR95aavWFkPU2gTZJvVf83iS75zZU2QZnoQE/0wbWnm+k6ZOiXRq0r9EEAAAQQQiLsAQ3bjTmzrA0aoqOl55adHE/S1qWnxfcpvaI2g0hfVvHendm2v1e7Tl66kH6CxhQV6KDc3ggWH3tO5lk+k9K53H42gMCRBAIFuCHjmypptYNZXrtO8+Qu6kYtzbjEr5x488IK+OuCrzAd1TrNQEgQQQACBBBcgIE3wBnZk9dpeVeW0War1BqKeUl5QY81y10+dxlU/q83++4ve0F83mfjYs8yu5zZ+I4BArwqYnsL7v3d/l3NHzQq1Lx16KaK0PVWh1tZWHXrxRddqwTu982LNIkVm6xZWy+2pVuA5CCCAAALJLMCQ3WRu/V6p+4dqKiu6HIz2uV1T6xr15jstrv1AW/Rm01bNyR7gKtUFHV1aqmfOe1cwulzS1Fs15GZPj+1Fvfr6eXV0tw5tp9XUfLG7d3MfAgj4CUQSvJn5pWYP07/5xm3ufVhNz2pv7GVqnllfV+feS/XukXe5F5zy3Q/WrB6cDHNh/ZqQrwgggAACCPSKAD2kvcKevA/taN6mFQ3vugBu1eTaeq0de5MXIyV9nOZvvVH/cU+eai+c1E/2/EaPL8lUiidFyl9r8Nevc8WrZuuXdn3w5rtqU2Y3tn7p0MVjm1S44Kgrlz5K+/YaPV+Tq4HeB3keyG8EEIilwD7XVjiew7Myr/lueiTvuece3fmtkT3Se1pRXu5dJddTHt/fZl5sv379fE/xGQEEEEAAAQTiJEBAGidYsg0m0K73fnXS1f/pOgbcpyn3XA1GvalTBmnE3/ZXrWse6r9f/KP+03Xhapx4s+7JGaE+x0wg6QpJj+/W/vM5yh/U13t7ZB8+0CuHX78y8rddFzu+oH5XHxJZFqRCAIGoBMxwXROEBjtMj+SB/QfcP0O/PlRmbmqowwyx/cMf/hBw+U+X/qTf/e6s+/z3Hngg7DYsI+8aGVAWExQ/8MDf6eFHHrFmG54ABE4ggAACCCBgoQABqYWNZm+R+2hgQYPOF4SpQdvr+tlxM5S2j77S/wZ1HlOeov7ZkzUh7Rfa3eoKSdtP6pnaE5pUOU7RLG3U0fwT/eiY6WU1R6pG5YzsRi/r5bv5LwIIRCZghvT++l/OuIfCHvv5UXfwGezOcMGoSW/me5avLQt2q/dc5h13hA1Ix4zJcufhCULHZmdr1OhR3vv5gAACCCCAAAI9J0BA2nPWPCmsgM+quybYTMvTilnf9OkdvXJz6igVzMjUgbWvuXo429XasEpLv/W1wAWQQj3LtaBS9fLnL/fSmjRp9+mh7JtDpeY8AgjEUMAEpWZbGPNTvWGDzKq2TY1N+j+/+Y27x9J3C5lQj33/wvuhLnnPm97ScIfZS9VsWdNV8BsuD64hgAACCCCAQGwECEhj40gu3RVob9LS26Zrt3f9on66Lbdcy4snKyM12Djavho0fbkW/q9clZ8y28W4FkBa8Jhmf/S01hdkhu0p7Wg5rGU/WKqd3tV9XfNYy+YpK+hzulsh7kMAgUgFTEDoGxRGssDRe++912X2ZuhuVz2evs/tMkMSIIAAAggggEDcBAhI40ZLxhEJXDins95g1NxxSWcayrTyCzfo6dU5wRcaShmmx9fP1ZHvlqnZvQWMa7uYtZM08sVczXvgLt05+QGfYLZDbc0vas/Lh/RMzTFd3SHVtZhRbomW+iyqFFF5SYQAAnETMD2XXR1Li4o0Z+4TQZP1u74f8z+DynASAQQQQAAB5woQkDq3bZKjZOkFOvDOlUmlbc3aXbZCTzac1pmf/lAP/0cfvRRifmjKoOmqb5AWFa5Xoxni6zraTzeo0vWjtfO6sHP1wj5U4Qp4o5t72kWmXEYAgR4QiCRo7YFi8AgEEEAAAQQQiJFA5zVjYpQp2SDQLYHUDE2u3KbnCzNcSxqZ+aFV2tr8aYisUpSaUaC6I7tUkXu7K32ER1q25mx7QXvLQvS+RpgNyRBAAAEEEEAAAQQQQODaBeghvXZDcoipQH9l5j+iUfXNamz/V/3Try5IGUNDP8EdxL6gycXN2rf7V/rwrUPa4Ophvdxn6rltgMYWPqJvDb5Tkx7MCDvP1HMHvxFAAAEEEEAAAQQQQCD+Ap/7L9cR/8fwBASiEXhT9X83XuWnP1Pf3G16ozIr8h7QaB5DWgR6WGDQwHTvE4tKipVfEG4PJG9SPiCAAAIIIIAAAgkrwJDdhG1aB1es7bSams1eoyGOjkv66KOOEBc5jQACCCCAAAIIIIAAAokiQECaKC1pRT1+r30zMjTom+NVuOkVhQxJ297VWx+YQbep+ttvfZ3eUSvalkIigAACCCCAAAIIIBC9AAFp9Gbc0W2Bm3VPzgh3gNl+7B+0vvHDwJw6zmtf0QbX/FHXpT4jdN+YmwPTcAYBBBBAAAEEEEAAAQQSQoCANCGa0ZZKpKj/hPlaOLyfq8DvandxkSr3NqvtSvE7Wo7qqZmPadHLroWMNEDjKpZofP8UWypHORFAAAEEEEAAAQQQQCBKAVbZjRKM5NcokDJMj1dXqOUHS7Xz9DHVLjA//nm6VsUteVoVDw4S4ai/Dd8RQAABBBBAAAEEEEgcAXpIE6ctralJSnqO1u5/QfXLZmpsmu8OomZ7lpWqbzqquoJMtmexpkUpKAIIIIAAAggggAAC3ROgh7R7btx1rQIp6cqaXuT+udasuB8BBBBAAAEEEEAAAQTsFKCH1M52o9QIIIAAAggggAACCCCAgPUCBKTWNyEVQAABBBBAAAEEEEAAAQTsFCAgtbPdKDUCCCCAAAIIIIAAAgggYL0AAan1TUgFEEAAAQQQQAABBBBAAAE7BQhI7Ww3So0AAggggAACCCCAAAIIWC9AQGp9E1IBBBBAAAEEEEAAAQQQQMBOAQJSO9uNUiOAAAIIIIAAAggggAAC1gsQkFrfhFQAAQQQQAABBBBAAAEEELBTgIDUznaj1AgggAACCCCAAAIIIICA9QIEpNY3IRVAAAEEEEAAAQQQQAABBOwUICC1s90oNQIIIIAAAggggAACCCBgvQABqfVNSAUQQAABBBBAAAEEEEAAATsFCEjtbDdKjQACCCCAAAIIIIAAAghYL0BAan0TUgEEEEAAAQQQQAABBBBAwE4BAlI7241SI4AAAggggAACCCCAAALWCxCQWt+EVAABBBBAAAEEEEAAAQQQsFOAgNTOdqPUCCCAAAIIIIAAAggggID1AgSk1jchFUAAAQQQQAABBBBAAAEE7BQgILWz3Sg1AggggAACCCCAAAIIIGC9AAGp9U1IBRBAAAEEEEAAAQQQQAABOwUISO1sN0qNAAIIIIAAAggggAACCFgvQEBqfRNSAQQQQAABBBBAAAEEEEDATgECUjvbjVIjgAACCCCAAAIIIIAAAtYLEJBa34RUAAEEEEAAAQQQQAABBBCwU4CA1M52o9QIIIAAAggggAACCCCAgPUCBKTWNyEVQAABBBBAAAEEEGRLBBUAABZQSURBVEAAAQTsFCAgtbPdKDUCCCCAAAIIIIAAAgggYL0AAan1TUgFEEAAAQQQQAABBBBAAAE7BQhI7Ww3So0AAggggAACCCCAAAIIWC9AQGp9E1IBBBBAAAEEEEAAAQQQQMBOAQJSO9uNUiOAAAIIIIAAAggggAAC1gsQkFrfhFQAAQQQQAABBBBAAAEEELBTgIDUznaj1AgggAACCCCAAAIIIICA9QIEpNY3IRVAAAEEEEAAAQQQQAABBOwUICC1s90oNQIIIIAAAggggAACCCBgvQABqfVNSAUQQAABBBBAAAEEEEAAATsFCEjtbDdKjQACCCCAAAIIIIAAAghYL0BAan0TUgEEEEAAAQQQQAABBBBAwE4BAlI7241SI4AAAggggAACCCCAAALWCxCQWt+EVAABBBBAAAEEEEAAAQQQsFOAgNTOdqPUCCCAAAIIIIAAAggggID1AgSk1jchFUAAAQQQQAABBBBAAAEE7BQgILWz3Sg1AggggAACCCCAAAIIIGC9AAGp9U1IBRBAAAEEEEAAAQQQQAABOwUISO1sN0qNAAIIIIAAAggggAACCFgvQEBqfRNSAQQQQAABBBBAAAEEEEDATgECUjvbjVIjgAACCCCAAAIIIIAAAtYLEJBa34RUAAEEEEAAAQQQQAABBBCwU4CA1M52o9QIIIAAAggggAACCCCAgPUCBKTWNyEVQAABBBBAAAEEEEAAAQTsFCAgtbPdKDUCCCCAAAIIIIAAAgggYL0AAan1TUgFEEAAAQQQQAABBBBAAAE7BQhI7Ww3So0AAggggAACCCCAAAIIWC9AQGp9E1IBBBBAAAEEEEAAAQQQQMBOAQJSO9uNUiOAAAIIIIAAAggggAAC1gsQkFrfhFQAAQQQQAABBBBAAAEEELBTgIDUznaj1AgggAACCCCAAAIIIICA9QIEpNY3IRVAAAEEEEAAAQQQQAABBOwUICC1s90oNQIIIIAAAggggAACCCBgvQABqfVNSAUQQAABBBBAAAEEEEAAATsFCEjtbDdKjQACCCCAAAIIIIAAAghYL0BAan0TUgEEEEAAAQQQQAABBBBAwE4BAlI7241SI4AAAggggAACCCCAAALWCxCQWt+EVAABBBBAAAEEEEAAAQQQsFOAgNTOdqPUCCCAAAIIIIAAAggggID1AgSk1jchFUAAAQQQQAABBBBAAAEE7BQgILWz3Sg1AggggAACCCCAAAIIIGC9AAGp9U1IBRBAAAEEEEAAAQQQQAABOwUISO1sN0qNAAIIIIAAAggggAACCFgvQEBqfRNSAQQQQAABBBBAAAEEEEDATgECUjvbjVIjgAACCCCAAAIIIIAAAtYLEJBa34RUAAEEEEAAAQQQQAABBBCwU4CA1M52o9QIIGCZwJ/+9CfLSkxxEUAAAQQQQACB+AsQkMbfmCcggECSCxx+6bAmjh+v6667TjfeeGOSa1B9BBBAAAEEEEDgqsAXrn7kEwIIIIBALAXOvXVOFeXlamps9Gb7ySefuIPSz3+Ovwd6UfiAAAIIIIAAAkkrQECatE1PxRFAIF4CZnhu9foqPbd9e8Ajvnzjl7Vy9Wrl3J8TcI0TCCCAAAIIIIBAsgkQkCZbi1NfBBCIq0B9XZ221NTo448+DnhOUUmxpubl6frrrw+4xgkEEEAAAQQQQCAZBQhIk7HVqTMCCMRc4MTxE1q1coXePv92QN4TJk7QoiVLlJaWFnCNEwgggAACCCCAQDILEJAmc+tTdwQQuGaB1tZWlRaXdJon6sl0eOZwFZeWKiMjw3OK3wgggAACCCCAAAI+AgSkPhh8RAABBCIVMPNEt9Zu1eaNGwNuMfNEFy1eoilTpwRc4wQCCCCAAAIIIIDAVQEC0qsWfEIAAQQiEti1c5fWV64LOk90zty5mjlrJvNEI5IkEQIIIIAAAggkuwABabK/AdQfAQQiFmhubtbihQuDzhPNGjtWa8rWMk80Yk0SIoAAAggggAACEgEpbwECCCDQhUC4eaJfG/Q1VVZVMU+0C0MuI4AAAggggAACwQQISIOpcA4BBBBwCZh5ojt37FD52rIADzNPdHZhofILCgKucQIBBBBAAAEEEEAgMgEC0sicSIUAAkkmcPilw1r2ZGnQeaLTHn1UCxYtZJ5okr0TVBcBBBBAAAEEYi9AQBp7U3JEAAGLBcw80bI1a3Tq5KmAWph5okuLijR4yOCAa5xAAAEEEEAAAQQQiF6AgDR6M+5AAIEEFDDzRNevW6cD+w8E1M7ME503f4Fy7s8JuMYJBBBAAAEEEEAAge4LEJB23447EUAgAQQ880S31NQEDM/1zBOdmpfH8NwEaGuqgAACCCCAAALOEyAgdV6bUCIEEOghATNPdMNT1UG3cTHzRGcVzmYblx5qCx6DAAIIIIAAAskpQECanO1OrRFIagEzT3Tzxk1qamwMcBieOVzFpaVs4xIgwwkEEEAAAQQQQCD2AgSksTclRwQQcKiAmSdaW7NFz23fHlBCMzx31eo1zBMNkOEEAggggAACCCAQPwEC0vjZkjMCCDhIoL6uTsHmiZoiFpUUi3miDmosioIAAggggAACSSNAQJo0TU1FEUhOgRPHT2jVyhVB54lOmDhBi5YsYZ5ocr4a1BoBBBBAAAEEHCBAQOqARqAICCAQe4Fzb51TRXl50HmiZhuXyqoq5onGnp0cEUAAAQQQQACBqAQISKPiIjECCDhdwGzjUr2+KuQ80UWLl2jK1ClOrwblQwABBBBAAAEEkkKAgDQpmplKIpAcArt27tL6ynUB+4ma2s+ZO1czZ81kP9HkeBWoJQIIIIAAAghYIkBAaklDUUwEEAgtYLZxWbxwYdB5olljx2ppUZEGDxkcOgOuIIAAAggggAACCPSKAAFpr7DzUAQQiIWA2caltLgk5DzRZctXaNToUbF4FHkggAACCCCAAAIIxEGAgDQOqGSJAALxFTDzRLfWbtXmjRsDHmT2E51dWKj8goKAa5xAAAEEEEAAAQQQcJYAAamz2oPSIIBAFwKHXzqsZU+WBp0nOu3RR7Vg0ULmiXZhyGUEEEAAAQQQQMApAgSkTmkJyoEAAmEFzDzRsjVrdOrkqYB0Zp7onLlPsI1LgAwnEEAAAQQQQAABZwsQkDq7fSgdAkkvYOaJrl+3Tgf2HwiwMPuJzpu/QDn35wRc4wQCCCCAAAIIIICA8wUISJ3fRpQQgaQUMPNEd+7YofK1ZQH198wTnZqXx/DcAB1OIIAAAggggAAC9ggQkNrTVpQUgaQRCDdPdMLECVq0ZInS0tKSxoOKIoAAAggggAACiSpAQJqoLUu9ELBQwMwT3bxxU9BtXIZnDldxaSnzRC1sV4qMAAIIIIAAAgiEEiAgDSXDeQQQ6DEBM0+0tmaLntu+PeCZZnjuqtVrmCcaIMMJBBBAAAEEEEDAfgECUvvbkBogYK2AZ57olpqaoNu4zJk7VzNnzWSeqLUtTMERQAABBBBAAIHwAgSk4X24igACcRI4cfyEVq1cobfPvx3wBLONy5qytcwTDZDhBAIIIIAAAgggkFgCBKSJ1Z7UBgHHC5x765wqysuDzhM127hUVlUxT9TxrUgBEUAAAQQQQACB2AgQkMbGkVwQQKALATM8t3p9Vch5oosWL9GUqVO6yIXLCCCAAAIIIIAAAokkQECaSK1JXRBwqEB9XZ1CzROd9uijWrBoIfNEHdp2FAsBBBBAAAEEEIinAAFpPHXJO7kFWuo0IatMZ9wKI1TU9Lzy0/tEYdKmpsX3Kb+h1X1P39xteqMyS9HkEMXDfJJeVPPegzr54Vkdqm7QmXafS+qn23IL9L0htyhz8gPKSE3xvRj087js7JDzRJcWFWnwkMFB7+MkAggggAACCCCAQOILEJAmfhtTQwQiE+hoUdO2LfpRpX8Q6nv7JZ1peOpykL22WmOfWKaSeeM0MExcOmXqVJWvLfNmYuaJLlu+QqNGj/Ke4wMCCCCAAAIIIIBAcgp8PjmrTa0RQMBXoKPlsEomjlf+2nDBqO8d5vMFNW6aqe9OXKmft3zmf9H7Pb+gQMMzh8vsJ1pUUqyjx44RjHp1+IAAAggggAACCCS3AD2kyd3+1B4BdbQ0aE5eqY62+ozNTcvWrBljNOLeScpK73tVyfSibj+knx2o0+7Tl9zn208/q1l5f1b9kdXKCjGEd+Pmze60aWlpV/PiEwIIIIAAAggggEDSC9BDmvSvAABJLdB2VCWdgtEBGluyRydfq9figkc6B6MGKiVdWdPnquJgkxoKM67OZ23do9KyRrWFwDSBKMFoCBxOI4AAAggggAACSSxAQJrEjU/Vk13gUzXXVmm3t2d0gMZVP6stBZlK7ZKmvzKX1Kom99YrKdvV2lClrc2fdnknCRBAAAEEEEAAAQQQ8AgQkHok+I1AsglcPKIf1795pdZ9lJa7TBUPDlKY9Yn8hG5SVnGJJqd51v1t0Usv/1Ydfqn4igACCCCAAAIIIIBAKAHmkIaS4TwCCS3QoYu/OKITnmmjfTL1+KxREfSM+qGkjtLssgp9Jz0ncHivX1K+IoAAAggggAACCCDgL0BA6i/CdwSSQuADvXL4dXnj0dGTNXGQz+JFERv01cCx39fAiNOTEAEEEEAAAQQQQACBqwIM2b1qwScEkkeg/Xf65196liDqq2Ejv6H+yVN7aooAAggggAACCCDgEAF6SB3SEBQj0QVeV3nWUJU7pZoXzumsd+vQVA0b9FdOKRnlQAABBBBAAAEEEEgiAXpIk6ixqSoCwQVu0I1f/mLwS5xFAAEEEEAAAQQQQCCOAgSkccQlawTsEPhL3ZjqWSnXjhJTSgQQQAABBBBAAIHEEGDIbmK0I7VwvMAIFTU9r/z0aAK/NjUtvk/5Da1xrt17OtfyiZTe9e6jcS4I2SOAAAIIIIAAAggkmQA9pEnW4FQ3EQU61NZ8QLWLx2vYwHQNcv8M1d0zyvVMY0vwfUFv6K+boomNE5GNOiGAAAIIIIAAAgj0ugABaa83AQVA4FoELurkuskaOXGeKhtOe7dxketT67GtWjP9Oxo9s0HvdPg9I/VWDbnZE5Fe1Kuvnw8euPrdFvRr22k1NV8MeomTCCCAAAIIIIAAAgiEEyAgDafDNQQcLeDqGW2s1t/XNLvCz3667aHNOna+Reffcf2cb1T9E9lKM4Hpy2u0cNvZzgFnyl9r8Nevu1K7dn3w5rvybAITXZU7dPHYJhVOvMPVM+vqlQ0W/EaXIakRQAABBBBAAAEEkkiAgDSJGpuqJphAxxvaumyPWtVHabnVerYsRwNTrtQxJV1ZC/9BmwqHuk5cUvP2F3S6Uy/pzbonZ4TrzstH+/Hd2n/euw/MlbOR/PpArxx+/UrPbLsudnxB/TxliOR20iCAAAIIIIAAAggktQABaVI3P5W3WuBfT+mfLrS7qpCu8Xl3K3BJoi/pGyO+qb6mkv/+kdr+07e2KeqfPVkT0q6EpO0n9Uztiah7STuaf6IfHfP0raZqVM5I9fd9DJ8RQAABBBBAAAEEEAgjQEAaBodLCDhaIL1AB8zw3Hd+psUZXwpS1A/1j0f+t9z9nl+5Uan+/7enjlLBjMwrvaSuob0Nq7R0bxRzSdteVfXy53XB8+S0+/RQ9s2eb/xGAAEEEEAAAQQQQKBLAf9/onZ5AwkQQMDpAp5Vd/NV2PCuq7C3avKq6coIGErbV4OmL9fC4f2uVOiCji54TLPrTnbZU9rRclgl02ap9vSlK/e6nlE2T1mpAQ9xOhblQwABBBBAAAEEEOhFAfYh7UV8Ho1AbAUC9y3tc3ueKlYu0OSMEANpU4bp8fVzdeS7ZWo2o39d/Z2Naydp5Iu5mvfAXbpz8gPK8AaZJtB9UXtePqRnao655q56DjOHtURLx97kOcFvBBBAAAEEEEAAAQQiEiAgjYiJRAjYIPBvOn/WM5/zcnnbT+/Qk8v/m778oyW6N909mzSgIimDpqu+QVpUuF6Nre6oVO2nG1Tp+tHaeQHpO58wq/tW6OnV44LMYe2ckm8IIIAAAggggAACCPgLMGTXX4TvCFgrMFT5B397eduXd36lPZV5us21ZlH76Wc1K2+Vmto6LbPrU8sUpWYUqO7ILlXk3u5dedcnQfCPadmas+0F7fVd3Td4Ss4igAACCCCAAAIIIBBUgIA0KAsnEbBdoL8yclfr2Z1PuINSte7Rito3Ou9F6l/F1AxNrnxBZ9/Yp/UlxVocNDgdoLGFS1VUvU8nX6vX/LHpYtaoPyTfEUAAAQQQQAABBCIV+Nx/uY5IE5MOAQRsE/i99s24X4vM1iy3F+vYwQINtK0KlBcBBBBAAAEEEEAgYQXoIU3YpqViCBiBmzR85JDLFG+eU8vlKaLQIIAAAggggAACCCDgCAECUkc0A4VAoLsCF9XceDrMNi3t+vij/9vdzLkPAQQQQAABBBBAAIG4ChCQxpWXzBGIl0CHLu6dqWED79CkWZvUeDHUgkVtannz39yF6HP3t3S7a5EjDgQQQAABBBBAAAEEnCJAQOqUlqAcCEQlkKL+Y76rUSbAbP+Fqtc1Bukl/Uzv7C1XtZk/6tqUZVTOSIXYjTSqJ5MYAQQQQAABBBBAAIFYCRCQxkqSfBDoaYH+OVq6eKRrm5Z2tTas0qJ1+9Ts2dqlo0VNVU/o4QWH1OpKkfbtIpVM+O89XUKehwACCCCAAAIIIIBAWAFW2Q3Lw0UEHC7gCjx//uQP9cRPT7vC0mCHKxjNXqRN1dOVkcoGLcGEOIcAAggggAACCCDQewIEpL1nz5MRiJGAa2huY4Manq9T7bELV/I0gejjyn94qqaxV2iMnMkGAQQQQAABBBBAINYCBKSxFiU/BBBAAAEEEEAAAQQQQACBiASYQxoRE4kQQAABBBBAAAEEEEAAAQRiLUBAGmtR8kMAAQQQQAABBBBAAAEEEIhIgIA0IiYSIYAAAggggAACCCCAAAIIxFqAgDTWouSHAAIIIIAAAggggAACCCAQkQABaURMJEIAAQQQQAABBBBAAAEEEIi1AAFprEXJDwEEEEAAAQQQQAABBBBAICIBAtKImEiEAAIIIIAAAggggAACCCAQawEC0liLkh8CCCCAAAIIIIAAAggggEBEAgSkETGRCAEEEEAAAQQQQAABBBBAINYCBKSxFiU/BBBAAAEEEEAAAQQQQACBiAQISCNiIhECCCCAAAIIIIAAAggggECsBQhIYy1KfggggAACCCCAAAIIIIAAAhEJEJBGxEQiBBBAAAEEEEAAAQQQQACBWAsQkMZalPwQQAABBBBAAAEEEEAAAQQiEiAgjYiJRAgggAACCCCAAAIIIIAAArEWICCNtSj5IYAAAggggAACCCCAAAIIRCRAQBoRE4kQQAABBBBAAAEEEEAAAQRiLUBAGmtR8kMAAQQQQAABBBBAAAEEEIhIgIA0IiYSIYAAAggggAACCCCAAAIIxFqAgDTWouSHAAIIIIAAAggggAACCCAQkQABaURMJEIAAQQQQAABBBBAAAEEEIi1AAFprEXJDwEEEEAAAQQQQAABBBBAICIBAtKImEiEAAIIIIAAAggggAACCCAQawEC0liLkh8CCCCAAAIIIIAAAggggEBEAv8fEBRZNmk1qY0AAAAASUVORK5CYII=" alt></p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Predict the number of signals and relative integration you would expect to see in the nuclear magnetic resonance spectroscopy (<sup>1</sup>H NMR) spectrum for the circled portion in the structure.</p>
<p style="text-align: center;"><img 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" alt></p>
<p>Number of signals:</p>
<p>Relative integration:</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>Oseltamivir is a chiral compound.</p>
<p>(i) Identify an apparatus that can be used to distinguish between its enantiomers.</p>
<p>(ii) Explain how the differentiation between the enantiomers is obtained using this apparatus.</p>
<div class="marks">[3]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>ether</p>
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<p><em>Do <strong>not</strong> accept “C-O-C”.</em></p>
</div>
</div>
</div>
</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<div class="page" title="Page 33">
<div class="section">
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<p><em>Number of signals:</em> 3 <strong>«</strong>signals<strong>»</strong></p>
<p><em>Relative integration</em>: 6:4:1</p>
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<p><em>Accept any correct ratio order.</em></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>(i)<br>polarimeter</p>
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<p><em>Accept other alternative techniques such as “GC/HLPC/chromatography using a chiral column”.</em><br><em> Do <strong>not</strong> accept just “polarizer”.</em></p>
<p><em>(ii)<br></em><strong>«</strong>plane-<strong>»</strong>polarized light passed through sample</p>
<p>analyzer/second polarizer determines the angle of rotation of the plane of polarized light<br><em><strong>OR<br></strong></em>each enantiomer will rotate plane <strong>«</strong>of plane-<strong>»</strong>polarized light in opposite directions <strong>«</strong>by the same angle<strong>»</strong></p>
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<p><em>Accept explanation related to other alternative techniques such as GC/ HLPC/chromatography using a chiral column.</em><br><em>Award <strong>[2]</strong> for “(+)/d rotates plane of polarization to the right </em><strong>AND</strong><em> (-)/l rotates plane of polarization to the left”.</em></p>
</div>
</div>
</div>
</div>
<p><em> </em></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<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>