<?xml version="1.0" encoding="UTF-8"?>
<quiz>
 <!-- categoryid: 1887 -->
 <question type="category"><category><text>1MA 04. VECTORS/1MA.04.5 Problemes amb vectors</text></category></question>
 
 <!-- resourceid-resourcedataid: 20827-16278 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.11Q  TrobarParàmetreAmbMòdul</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #003300;">Quins són els valors de m que fan que el vector d'origen  (#a1,#a2) i d'extrem <span style="font-weight: bold;">(#b1,m) tingui mòdul #r</span>?</span><br /><br /><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> </span></span>{-2,4}<span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;"> </span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>&#160;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol2</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;v2&lt;/mi&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;r2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k2&lt;/mi&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;&amp;#160;&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;correctAnswer id="1"&gt;#sol2&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="equivalent_symbolic" correctAnswer="1"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;distribute&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;50 50&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Es calculen els components del vector, el seu mòdul i s'iguala al mòdul de l'enunciat.</span></strong></p>
<p><strong><span style="color: #000080;">Per treure l'arrel, s'eleva al quadrat.</span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20828-16279 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.12Q TrobarComponentsmbMòdulArgument</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #003300;">Quins són els components cartesians del  vectors de <span style="font-weight: bold;">mòdul «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»r«/mi»«/mrow»«/mstyle»«/math» i d'argument <span style="font-weight: bold;"><span style="font-weight: bold;">en radians</span></span> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mstyle»«/math» </span>?</span><br /><br /><span style="font-weight: bold; color: #ff6600;"><span style="font-weight: bold;">Format de la resposta:</span> </span></span>{[-2,4],[1,5]}<span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;"> </span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>&#160;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable 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name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;distribute&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;50 50&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Si x i y són els components dels vectors solució, has de resoldre el sistema:</strong></span></p>
<p><span style="color: #0000ff;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfenced mathcolor=¨#0000FF¨ open=¨{¨ close=¨¨»«mtable columnalign=¨left¨»«mtr»«mtd»«msup»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»+«/mo»«msup»«mi mathvariant=¨bold¨»y«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»=«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»r«/mi»«mn mathvariant=¨bold¨»2«/mn»«/mtd»«/mtr»«mtr»«mtd»«mfrac»«mi mathvariant=¨bold¨»y«/mi»«mi mathvariant=¨bold¨»x«/mi»«/mfrac»«mo mathvariant=¨bold¨»=«/mo»«mi mathvariant=¨bold¨»tg«/mi»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«/mtd»«/mtr»«/mtable»«/mfenced»«/mstyle»«/math»</strong></span></p>
<p><strong><span style="color: #000080;" data-mce-mark="1"> </span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20829-16280 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.15Q VectorPosició_Polars→cartesianes</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Quines són les coordenades cartesianes del punt associat al vector posició de mòdul #m i d'argument #a º?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span></span> [2.42,-3.24]  arrodonides als centèsims amb punt, separades per coma. Les coordenades poden ser positives o negatives. <span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#v</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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open="["&gt;&lt;mrow&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msqrt&gt;&lt;mn&gt;89&lt;/mn&gt;&lt;/msqrt&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;36&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;7.63&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5.55&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;7.63&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5.55&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;v&lt;/mi&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">x = #m · cos(#aº) <br />y = #m · sin(#aº)<br /></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20830-16281 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.16Q TrobarVectorSiC.L.Nul·laAmbAltre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>Calcula les components del vector «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mover mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/mstyle»«/math» si:</strong></span><br /><span style="color: #003300;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mover mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«/mrow»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»k«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mover mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»v«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«/mrow»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»v_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mstyle»«/math» </strong></span><br /><span style="color: #003300;"><strong>amb</strong> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mover mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»v«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»v_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mstyle»«/math» </span></p>
<div style="text-align: left;"><br /><span style="font-weight: bold; color: #ff6600;" data-mce-mark="1">Format de la resposta: <span style="color: #000000;" data-mce-mark="1">[-3/5,6/5] (enters o fraccions simplificades)</span></span></div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_4&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><span style="font-weight: bold;">Aïlla </span><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mover mathcolor=¨#007F00¨»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/mstyle»«/math»</span><span style="font-weight: bold;">:</span></span><br style="font-weight: bold;" /><span style="color: #0000ff;"><span style="font-weight: bold;">a) Suma o resta #k · </span><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span><span style="font-weight: bold;"> als dos membres:</span> #m · <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span> = #v_1 #t #k · <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span></span><br /><span style="color: #0000ff;"><span style="font-weight: bold;">b) Substitueix </span><span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span><span style="font-weight: bold;"> per #v_2:                       </span> #m · <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span> = #v_1 #t #k · #v_2</span><br /><span style="color: #0000ff;"><span style="font-weight: bold;">fes la multiplicació:                                  </span> #m · <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span> = #v_1 #t #v_3</span><br /><span style="color: #0000ff;"><span style="font-weight: bold;">i després la suma/resta:</span>                            #m · <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math»</span> = #v_4</span><br /><span style="font-weight: bold; color: #0000ff;">c) Divideix tot per #m</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20831-16282 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.17Q TrobarVectorSabentC.L.AmbAltre</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>Calcula les components del vector <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/math»</span> si:</strong></span><br /><span style="color: #003300;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mover mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«/mrow»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»s«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»k«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mover mathcolor=¨#003300¨»«mrow»«mi mathvariant=¨bold¨»v«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«/mrow»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»v_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«/mstyle»«/math»</span><br /><strong><span style="color: #0000ff;"><span style="color: #003300;">amb <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mover mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»v«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»v_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«/mstyle»«/math»</span></span><br /></span></strong></p>
<div style="text-align: left;"><br /><strong><span style="color: #0000ff;"><span style="color: #ff6600;">Format:</span> </span></strong>[-3/5,6/5] (enters o fraccions simplificades)</div>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/mrow&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mfenced close="|" open="|"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/mfenced&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/mrow&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mo&gt;&amp;quot;&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol 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definitionURL="http://www.wiris.com/XML/csymbol"&gt;if&lt;/csymbol&gt;&lt;mrow&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;v_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;v_3&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;v_4&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;v_3&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;17&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;16&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;16&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_4&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_11&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mfrac&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Aïlla «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mover mathcolor=¨#007F00¨»«mrow»«mi mathvariant=¨bold¨»u«/mi»«mo mathvariant=¨bold¨»§#160;«/mo»«mo mathvariant=¨bold¨»§#160;«/mo»«/mrow»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/mstyle»«/math»:</strong></span><br style="font-weight: bold;" /><span style="color: #0000ff;"><strong>a) Suma o resta #k · «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math» als dos membres: #m · «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math» = #v_1 #t #k · «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math»</strong></span><br /><span style="color: #0000ff;"><strong>b) Substitueix «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»v«/mi»«mo»§#8594;«/mo»«/mover»«/math» per #v_2:                         #m · «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math» = #v_1 #t #k · #v_2</strong></span><br /><span style="color: #0000ff;"><strong>fes la multiplicació:                                   #m ·«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math» = #v_1 #t #v_3</strong></span><br /><span style="color: #0000ff;"><strong>i després la suma/resta:                            #m · «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover accent=¨true¨»«mi»u«/mi»«mo»§#8594;«/mo»«/mover»«/math» = #v_4</strong></span><br /><span style="color: #0000ff;"><strong>c) Divideix tot per #m</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20832-16283 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.21Q Valor de m per 3 punts alineats</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">Per quin valor de m, els punts A (#x1,#y1), B(#x2,#y2) i C (m,#y3) estan alineats</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> nombre enter o fracció simplificada.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable 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name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Si estan alineats, els vectors «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AB«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AC«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/mrow»«/mstyle»«/math» són dependents ja que tenen la mateixa direcció.</strong></span></p>
<p><span style="color: #000080;"><strong>Cal doncs que el determinant de la matriu #M sigui igual a zero.</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20833-16284 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.21Q VectorUnitariDependent</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #003300;" data-mce-mark="1"><strong>Determina els components d’un vector unitari sabent que és perpendicular al vector (#a1,#a2)</strong></span>.</p>
<p><strong><span style="color: #003300;">Es recorda que el mòdul d'un vector unitari és 1.</span></strong></p>
<p><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> [2,3] Simplificat</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol2</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol3</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Sigui (x,y) el vector perpendicular. </strong></span></p>
<p><span style="color: #000080;"><strong>El producte escalar ha de ser nul:<br />«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»+«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»y«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»0«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#8658;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»y«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»4«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#183;«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#000066¨»x«/mi»«mspace linebreak=¨newline¨/»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»el«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»vector«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»s«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»`«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»escriu«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mfenced mathcolor=¨#000066¨ open=¨[¨ close=¨]¨»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»,«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold-italic¨»a«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold-italic¨»x«/mi»«/mrow»«/mfenced»«/mstyle»«/math»<br /></strong></span></p>
<p><span style="color: #000080;"><strong> </strong></span></p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">Ara cal que el mòdul del vector, «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mfenced mathcolor=¨#000066¨ open=¨[¨ close=¨]¨»«mrow»«mi mathvariant=¨bold¨»x«/mi»«mo mathvariant=¨bold¨»,«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold-italic¨»a«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold-italic¨»x«/mi»«/mrow»«/mfenced»«/mstyle»«/math»  , sigui 1. </span></strong></p>
<p><strong><span style="color: #000080;">Dividim pel mòdul:  «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«msqrt mathcolor=¨#000066¨»«msup»«mi mathvariant=¨bold¨»x«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»+«/mo»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x«/mi»«msqrt mathcolor=¨#000066¨»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»+«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»5«/mn»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x«/mi»«msqrt mathcolor=¨#000066¨»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»6«/mn»«/msqrt»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»7«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x«/mi»«/mstyle»«/math»</span></strong></p>
<p> </p>
<p><span style="color: #000080;"><strong>El vector demanat és doncs:</strong></span></p>
<p><span style="color: #000080;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mfenced mathcolor=¨#000066¨ open=¨[¨ close=¨]¨»«mrow»«mfrac»«mi mathvariant=¨bold¨»x«/mi»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»7«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»,«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»4«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»7«/mn»«mo mathvariant=¨bold¨»§#183;«/mo»«mi mathvariant=¨bold¨»x«/mi»«/mrow»«/mfrac»«/mrow»«/mfenced»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mfenced mathcolor=¨#000066¨ open=¨[¨ close=¨]¨»«mrow»«mfrac»«mn mathvariant=¨bold¨»1«/mn»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»7«/mn»«/mrow»«/mfrac»«mo mathvariant=¨bold¨»,«/mo»«mfrac»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»4«/mn»«/mrow»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»7«/mn»«/mrow»«/mfrac»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math»</strong></span></p>
<p><span style="color: #ff0000;"><strong>i es racionalitza, si cal!</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20834-16285 -->
 <question type="description">
    <name>
      <text>1MA.04.5.50DT VECTORS EQUIPOL·LENTS</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="center"> </div>
<table style="background-color: #ffffcc; background-image: none; color: #003300; border: 4px solid #003300; float: none; text-align: left; vertical-align: top; width: 400px;" border="14" frame="void" rules="none" align="center">
<tbody>
<tr align="center">
<td style="background-color: #003300; background-image: none; color: #ffcc00; border-color: #003300; border-width: 4px; vertical-align: top; border-style: solid; text-align: center;" valign="top" width="100%"><span style="font-size: large; color: #ffff99;">Vectors equipol·lents</span></td>
</tr>
<tr align="justify">
<td valign="top" width="100%"><span style="font-weight: bold; font-size: small; color: #003300;">Es diu que dos vectors són equipol·lents si tenen les mateixes components.<br />La relació d'equipol·lència R és una relació d'equivalència, ja que és:<br /></span>
<ul>
<li><span style="font-weight: bold; font-size: small; color: #003300;"> simètrica (aRa), <br /></span></li>
<li><span style="font-weight: bold; font-size: small; color: #003300;">reflexiva (si aRb, bRa) <br /></span></li>
<li><span style="font-weight: bold; font-size: small; color: #003300;">transitiva (si aRb i bRc, aleshores bRc).</span></li>
</ul>
<span style="font-size: small; color: #003300;"><em><span style="font-weight: bold;">El conjunt de vectors equipol·lents a un vector donat constitueix una classe d'equivalència.</span></em></span></td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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  </question>
 
 <!-- resourceid-resourcedataid: 20835-16286 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.51 ExtremEquipol·lentOrigenDiferent</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Determina l'extrem d'un vector que té per origen A (#a_1,#a_2) i que és equipol·lent al vector (#b_1,#b_2).</span><br /><br /><span style="color: #ff3300;">Format de la resposta:</span> </span><span style="color: #006600;"><span style="color: #000000;">[-5,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#v_42</text>
      <feedback format="html">
        <text></text>
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    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#v_42
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">Com que són equipol·lents, tenen els mateixos components. Aleshores, cal aplicar: extrem = origen + vector: (#a_1 + #b_1, #a_2 + #b_2)</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20836-16287 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.52 OrigenEquipol·lentExtremDiferent</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Determina l'origen d'un vector que té per extrem B (#a_1,#a_2) i que és equipol·lent al vector de components (#b_1,#b_2).</span><br /><br /><span style="color: #ff3300;">Format de la resposta:</span> </span><span style="color: #006600;"><span style="color: #000000;">[-5,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#v_42</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;1&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mn&amp;gt;9&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;8&amp;lt;/mn&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#v_42
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">Com que són equipol·lents tenen els mateixos components, aleshores només cal aplicar: origen = extrem - vector: (#a_1 - #b_1, #a_2 - #b_2)</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20837-16288 -->
 <question type="description">
    <name>
      <text>1MA.04.5.60DT APLICACIÓ EQUIPOL·LÈNCIA</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p> </p>
<div align="center">
<table style="background-color: #ffffcc; background-image: none; border: 4px solid #003300; float: none; text-align: center; vertical-align: top; width: 471px; height: 346px;" border="4" frame="void" rules="none">
<tbody>
<tr>
<td style="background-color: #003300; background-image: none; color: #ffcc00; border-color: #003300; text-align: center; vertical-align: top; border-style: none;" valign="top" width="100%"><span style="font-size: large; color: #ffff99;">Aplicacions de l'equipol·lència </span></td>
</tr>
<tr>
<td valign="top" width="100%"><img 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HZVzR3y0JG05TIDlG/g1et3+PHHn1FXH2ZtBcc1C51mYnl5hWv+xhl6YY4hF5owNHwNzU119KZpje42zkN2RsVE4AIRkLC7QDdTQxEBERABERABEThrBPYSdNXTF6v7fNSihe2X6NGywFcmiuwM8PrJIh7+E0XVwzQ21vIUdSGKOsaVQw6LCyU8Ywy7jittiCZC6KTQiwai5uGEnbSxeP22c/OQaZsj1WqOnNPd32ils3h0sx+W8X//1//OAOXfOyEMbA2fWfACbCscCiMaj6Knp41OX4Zwh0HK29rr4Q+U2Zq1Z0pVmwiIQDUBCbtqGjoWAREQAREQAREQgRMjcNQibpeOV8xaRzMXg4Cvv89Q1C3h0T9v4JdvMphejdNGFqNHSjeUQZD73FoOL59+QKyuiGC0jcLNj+6uAJ2Y0Nq3pd82G3LF3S6t7pFkosxPRy51uD7YxxAGq1hbNy+dnObpMxZ00MK5luFgEH6GX2hsbMTA9T7cvjOM/oEeesqMOcHVuQJvj/qVLAKXm4CE3eW+/xq9CIiACIiACIjAqRAwW1e1BewoOuEJLauXLzOLFbhfY0jxD2VM/fQB3/63l3j8wwo+LNRRS13jqro2ZCnvwKmYze1tiNRlsbTyBk9+ek8rXSt8gRZEo350Rn2cmmmPjV9mKbOe9fR04T/9p3/E3/7tXyOfp6Czfjq2P9riGN/OxF0kEuL0zDjDLDCAels96uIm6qz0l7XPCrSJwIUlIGF3YW+tBiYCIiACIiACInA+CJgg232zCZLeZrLm89tmXaZ/TNTRb0ppMovZn5bx/H++wasfX2F+YhWBQiu6W1oQTrZjdnEduVAFA3evoqG5DmOTk1hOj+PZszGet3MKZCfi8RDX3fk5I9MTYbb/9Fadw+u77RsYWuHu3WFOsQw6FsGPtTh125lbkm5UaN+z8Zulz91/zKsDERCBHQQk7HYgUYIIiIAIiIAIiIAIHBUBTwiZpPHkTbXkqRZ13nVr26K72eZZ4TyblpO4x5uJH+a3nTmx3ODBXAapZ6v4/Z9G8fs341h9n0K0WEJjewWDD+Jo7G7BT6/XMb+WwsjdPPqGmtD66jp+frqAdPopJsY2MDkBxytlrK6eHir9bMGmQpqVb2tEzknVW/UILdnO3Vh0boBz2hDZVUutHr+X05N2VsYUanVtWzwstzYREIEtAhJ2Wyx0JAIiIAIiIAIiIALHRMDESbVA8ZrxxJy399IPurfym3UU2U6Gr5k01n79gPFv5zHzfBF5BiJvKMbQ1BHDlXvXMPw3ragkfRhbXUGKjlMa23MYvg20dHQgVn8H76eLuHK1iJY2TtGMJSjB3KmYNgrXgclu49lPvz2xZgp0t3FzOubHaryjw7b1sSIdiMCFJyBhd+FvsQYoAiIgAiIgAiJwsQmY+OHLdJIZ01Z5ML2O8m9TmP/mOd7/PIeNRT/qYg2INyXRcacXN/7hFtof9GIizeDkUc7XDOa4pq6EltYKrlwLoqOzF3NzfjQ1Z+jAJIKWliJC4Rxb8UTXXkLLs8BZZz617SXqast49dWm61wERKCWgIRdLRGdi4AIiIAIiIAIiMCZIfA5gWQdpagr8ZXjK8v8MxkUHo9j/c/Pkf51DOW5NYQrCbT21KPtehd67vej824bAl0ROlApohxyLWh+Fo8wnFxrMygCfejujjPkQIVeLMt0ZpJnK6YaLa/bp53Sjp4zrTvOttuUya2rXi7tRUAEjo6AhN3RsVRNIiACIiACIiACInAEBFzJ5DoM2Ud1lj3Ptw2KLk6/rPw2jY1vXyD18BV8oytojgUR6apD3fU4rvxVJ1ruULl1Mix5LIdiKItyoIgKX+aRkg4p6f2ySDG3isamNZ5n4Q/yGkWdb3Nd3e5TSrdb1lwJt5u428d4tmUxEVld936E7rYKdCICl4aAhN2ludUaqAiIgAiIgAiIwNklUGv/qhUwtSLJpBNfVsz8mKxR1E2lkXky6ky/TD15B9/4MgIUfC3tFHTDvWj4wzUkbibh7/Bho46iLhJAOVhAyV9gNayITZjVLhDMc9rlMo+XWLFrzfOsdEw4ha2WxSl0QU2KwDkgIGF3Dm6SuigCIiACIiACInBRCXiipVa41Y7Xy2fpJuj4Ms1VoCBb5cHYCoq/TiD17e+Y+vk1UtMpxCI+NHc0onGkDy0PhhG91YdyZxL5RAAlxiQvbwYFr23JVYtWuffamUMpIiACZ4+AhN3ZuyfqkQiIgAiIgAiIwKUjUC3cagdfbc2joDNhZ9ktpIGJuveryNNCt/JPT7H86zjK8ylmYQS8jgbEbl5Hy9e3EbvRi2J3Ern6IPJhTqqkjqyu9WOLpi/3uVlPtuqwWHO1hT81pn02omwiIAL7JiBht29UyigCIiACIiACIiACx0VgSyI5wu1TzVhWC2mwzgmUtMzlf36H1YcvsfLzGCqcfllf9CNyrRnR4T4kvx5G+H4fSl2NyNaFkKGoK3K+Zdm0oSmzL9y2VyEh94U4VVwEvoiAhN0X4VNhERABERABERABETghAjb9skKrmIk6C2kwtcbpl1P48JdnmH7yBlhII14MIEwR13xnEE1/cwuh29dQ4fTLXCKELEVdLsiABbTmOVvFhNimGNtUaHa2edXNs+O92iq3WXZHHiWIgAicBgEJu9OgrjZFQAREQAREQAREYBuB7bavbZecE14vU1Qx3Bw2KL0mKeoev8P6N79jhdMv03OrXDfnR2ikFc1D/Wj6ww3Eb/ah2NmIAkVdIeRDKcCynqjb2cC2FBN3OwVedTgDy24iT+LOSGgTgbNAQMLuLNwF9UEEREAEREAEREAEdiHgiSvHz4k5SlmnkJpZQ+Xpe6wxTt3Sw9eoTKQQqQui3JVE7PYAmv50l2vqrqLQXu9Mv8zRUmeirmgGv5o2qmWZd83b12R1Tu3a5yTobuWUJgIicPwEJOyOn7FaEAEREAEREAEREIFDEPBtiihKKYsNvso3OkqxkAYr375E6td3KL5fQSjvQ2uSa+puDqLxjzcQvE1R15FEJhHkmjoWpWHt4/RLpxefkWZ2+TNZDjEYFREBEThmAhJ2xwxY1YuACIiACIiACIjAwQhsrmMz85hFHHBCGlDUjVtIg/dY+uYFxn99g8zsKmLRABo43TLJUAbm/TJ8ux/ltnrk4gEU+JRnVrrtTlL2odis3WMxzW2OS9M3D/ZxUG4R2CcBCbt9glI2ERABERABERABETheAp7w2WylRBHGAONIc8Lk+zTyP41j9V+eIfXbGArzq85yu1B3IxI3htD8YATREYY0aK9Drm5T1H201JmY213QVad6x95+51h3C2mwM9fOlJpxfQyLUD0RdGcppYiACByMgITdwXgptwiIgAiIgAiIgAgcPwHzgLlpqau8T6H0ywTWbPrlo1GGNEghHqajlCvNSDD4eP1f30TkVj+KnH65QVGXs+mXLF7xMxzCHirNkisUeztjz7lDs+u7F5UYO/6brxZE4HAEJOwOx02lREAEREAEREAEROB4CJh2KvC1GXw8x/h0c//6GxYtTh3X2IUKPsTbG1A/cp2i7jbX1l1DobMBeYo6i1NXCOwt6LZ32JVutSJud0G3vaTOREAEzh4BCbuzd0/UIxEQAREQAREQgXNPoFoueYvWPjMoy2Zr6nI8MEcptqbuyTjWv/8dc7+8w8LcMsKJAJq7m1E/dA0tX40gRlFX7GpCnunFAAOPO9MvvXYOLtFqJ016NWkvAiJw9glI2J39e6QeioAIiIAIiIAInCsC1aLOOu4JLFNue23MU+J1i1Nnom4yRVH3Dsv//BQrT8ZQYpy6YJAxC9qTjvfLtj/eQvyGWeoaHUcpOcapK/Dydkcpe7Xl+kZx392plZ/q2d617PeKN33Tk43e+X7LK58IiMB+CEjY7YeS8oiACIiACIiACIjAsRHYFH62pi5VYFy6JWR/GsPqty+Q+mUcRVtTl/cjer0FYQYdb7KQBnf6UOhqxEY9QxpY8HFqJhN1e62p273rnLLJC46oO15lt9m8BN3u90GpInA0BCTsjoajahEBERABERABERCBHQRML3n2uh0X7YopMdM7jqijpY7Bxos/TWCWa+re/zaO0vwa6kIhxCniGm4NoJHBxy1OHTrdkAb5oGup2x6nbmdLShEBEbj4BCTsLv491ghFQAREQAREQAQ2CexmmNpbeB0Vtr0sVWzZ1tTl+UqbqEsj9+gdUt/8jpXfJrGxuIZiJIhoTytDGgyiiWvqojevotiZpKOUIAohFqelzu2/++6Ob7dRHtVYVI8IiMBZJSBhd1bvjPolAiIgAiIgAiJwTgl4wsrCCXjHuwzFLjkhDaju6O2y9BtDGjx85YQ08E3QUlcfQqmXou72EJJ/dQ8RxqkrtMWxQUcpTvDxHc5SdmlDSSIgApeGgITdpbnVGqgIiIAIiIAIiMDJETDVtpuo27QPOnHqmMUsdVNpZJ68xfy/PqelbgzlqTUE6QmlqZmi7s5N1P3VDYRuXkG+rQ7ZuJ9r6sxSV+GaOotEZ9tmnc6x3kRABC4rAQm7y3rnNW4REAEREAEREIETJkAB5q2py1P0WZy6MQYf/3USqb+8xtSvo0jR+2WM0yyb+1pRd7PfCWlgDlPybQnko37k6fmyxGo875eudNxNQJ7w0NScCIjAqROQsDv1W6AOiIAIiIAIiIAInBQBs21Vy6ATt3WZIrM1dSla6jj9ssA4dal/eUrvl2Mo0FFKJRREuacF8TsjaPnDTURHrqDQEkcu5keRT222pk4GupP6tKgdEThfBCTsztf9Um9FQAREQAREQAS+kMCJizmnv2zVFKXFqlsroTK+jPwvE0g/fIFlirviuxU0hOkopasV0dsDqOf0y8Ats9TVYSPmQ86mX7KKg4c0+EJYKi4CInBuCEjYnZtbpY6KgAiIgAiIgAicPwKbgs4JacDeM06dranLPx7F9LdPMffrBMq01MX9FHXtLWi7OYz6v75NUUfvlzb90kSdhTSgpU4hDc7f3VePReAkCUjYnSRttSUCIiACIiACInC5CJiVrkhxZ2vqTNS9T6HwM9fU/fk5lp6PYWkuDYQDCPW0oXmEcer+cAMxTr80S50z/ZJr6sqOqLtc2DRaERCBgxOQsDs4M5UQAREQAREQARG4tARMqVVvFG17bjZ3khcLfHPW1NFRys+cfvnt71h6+AZYWEMsHkK5uwmxO9fRaCENhk3UJZChpS7Pp7QiRZ3rKKW23T0b1QUREIFLSkDC7pLeeA1bBERABERABETguAhUiT1bGOeENEghRwcpS9+9wMrP71CaWUOkFHCCj4cZp67hTzfhv93DOHX1yNJRioU0MEFnutAcaXqbe1iVsHnBlX0Sfx4n7UXgMhKQsLuMd11jFgEREAEREAEROCYCFF2mr7w4dasWp24NpaczWP3hDUMavMXKzArqYyHUt7UgeWcATX+4jeCtayi2WkgDrqmjlc5mb24JOgm2Y7pZqlYELhQBCbsLdTs1GBEQAREQAREQgeMl4KNuc4XWTrvZZstmpbOQBuu0t02vo8A4dat/5vTLn0exTktdDgHEBjqQuDWIpgc3EL3Rg3wr19QxTl3RWVMnIXe891C1i8DFJCBhdzHvq0YlAiIgAiIgAiJwbARM0u0hviy5yDdOv6xMr6L8bBrr37/G6k+jyL9ZRsLvR7CnEQ13ryPxJ1rqblxjnLooMgn/vkIauK3u0faxjVcVi4AInAcCEnbn4S6pjyIgAiIgAiIgAmeGgGupq7bXbR6b3qLjS9j0S/N++dsE5rmmbv7JO+QnUgjn/Uh0NqH1xnU0/PEewjcYfJyOUsz7ZT5Uca1120ZZ3YbE3DY0OhEBEdhBQMJuBxIliIAIiIAIiIAIiMB+CVB8meailnOmX6byqEyuoGghDX58jVmuqZubWYYv4kdzZysaB69x+uUQErTU5dvizpo6m35Z9PnoKKVavFWLOuuLnVdftzRtIiACIrBFQMJui4WOREAEREAEREAERODgBMx1pRenbmKZom4CqX99wTV171CYTSEY8MPX0cS1dP1IfnWba+sYfJzTL3N0lJI3UbcjTl2tqDt4l1RCBETg8hGQsLt891wjFgEREAEREAEROBICnrWOlrRVWuomllB4Mo6V714ypME48u9WEKVry8iVZoRGriP5x5sI3eWauo5GZOoCyITdkAaeMxa3S1bnprDzyUJ3JLdJlYjAJSEgYXdJbrSGKQIiIAIiIAIicFQENgWdF9IgxYV1E6so/TLJOHUvMcHpl5m5NGIBer9sakT9MKdffn0LYYY2KHUwTl3cjyyfwMx5ZsXEW61+c9I2xd1RdVn1iIAIXHgCEnYX/hZrgCIgAiIgAiIgAvshUKuvrMye8sqih1tIgzRF3WSaljpOv/z2NZZ+Gcfa7CpywQACV5vRPDiA5q9vInbzKsqdSeQp6gp8+irXTr+sbUjWuv3cMuURARGoIiBhVwVDhyIgAiIgAiIgAiLwWQKmAE3UmaVuJoXSsymsP3qD1KNRFN+lEA8FEbzaxLV0/fR+eQfR2/0odzRgI8Hg4yFzlEJrHYXdx61W1H28UH2wm+ysvq5jERCBy05Awu6yfwI0fhEQAREQAREQgX0Q2FRfpq/MA6ZZ6qZWkP1lgtMvXUcp+WmGNKBqa+hoQWR4EAmuqQvf7UOhs4GWuqCzps48YHoSzVtbV63rLPz5btvuqbvlVJoIiMBlJSBhd1nvvMYtAiIgAiIgAiKwCwGTWZ7UMjllL57bzqZf5ugC00Td+CoKFHWp719h6td3WJpdQiQaQFN7s7OmrvnrYUTv9FPUJRmnLoh8sOJMv2QtHyMX+La141zZettsditBRyIgAiLwaQISdp/mo6siIAIiIAIiIAKXhIAJrcpHsWX6yxN4BGAhDXJ8pWium0whb94vv3mBBYY0yMyvosI1dZXuVlrqrqP5AdfU3biKUnsDChR1BU6/dKZeburDPYxyW5RN1Nkmcedy0LsIiMC+CEjY7QuTMomACIiACIiACFwGAlVSbmu4JrCKfFstOMHHCwxlkPr+JZZ/esc1dSuo8wcR66OoGxlA3R9vI3C3H8W2OmTM+2WogpJNv2TFpg29zdrx9Jul1Wq4j9drL3gVaC8CIiACNQQk7GqA6FQEREAEREAEREAEHAKO8qLE4sxLx1I3xemXv01i/uHvmP75LfKza4j5A4i301HKMEXdH+4geIdx6mipK8X8dJRSRsERdVJn+kSJgAgcPwEJu+NnrBZEQAREQAREQATOCAFHq9X0xaxjOzbLWOLLpl9yTV2F0y+LnH6ZevgS8wxpsMiQBuUIQxp0taJpqB/Jr0cQv9HrrKnLcq1dIVh2luRtzebc3vL2s61VfU4/2KGKZdi1Y04OvYmACIjADgISdjuQKEEEREAEREAEROByEvDkFhWVzZu0kAarfKOlrvz0PdIUdUvfv0bhwyrCQT5CdTczPl0/6r+6zTV1tNR11iMTZbFQ6WOcOq/GA/OUqDswMhUQgctOQMLusn8CNH4REAEREAEREIFNAptqysxlZq3jmjqMLyP365gj6JZ/GUN+chURxiyIXmtD+MYAEn8YQejWVeTM+2U8gGyYmtCCj7O4ratzj2y/v83K1Wq6Q4vD/TWpXCIgAheEgITdBbmRGoYIiIAIiIAIiMCXEKCcMgVlgq7AA/N+ObaMwpMJLP7wEuO/jCLN6ZfxWAjJ5lYkb/ah6etbTpy6fHsdClG/s57ORF3Z92VS7MtKfwkDlRUBETjPBCTszvPdU99FQAREQARE4FwTMNvUbvap3aTNfvPuls8gWZ1uMIPq2re1bqIuy5RNS13+8TiWv2VIg6fvsLGwyimWIUS62xC9MYSme0OchtmLUluCjlJsTZ1rqdsxHGtamwiIgAicAAEJuxOArCZEQAREQAREQATOFoFtgs66ZmqPRjqk86hMrKDI4OOrP7zC8hOGNBijpS4SQqy/HfGbA4j/8QanX/ah0JpAJuaj4GNIA5t+adY6q0ubCIiACJwCAQm7U4CuJkVABERABERABE6OgGuhqw49bm1XSTvLkOf5Ch2lWPBxrqWb++45Zn+dQHE6jUglgPq2FsRHrjOkwW2Kul7kOP2yRFGXZfDxgr/aBnhy41JLIiACIlBNQMKumoaORUAEREAEREAEjpVArQSqklfH2u6ulVtniuxBjgcWfHxiM6TBD28w+3QCc/MrCNSF0Hy1DcnhPrQ84PTLEYY0aE8iG/Gh6LeQBrUj2rUlJYqACIjAsROQsDt2xGpABERABERABETACOyUQBUnzffRemY5duZy6XnpnhTcK29tPrPNeWluTV4NjqMUJ6QBvV9anLqfJ7DyDdfUPXmL3HwawXCYcepaEL01hMYHt2ixu4IiLXU5Wuos8HjZKvpYmVv3x6Zq0zcvaycCIiACx0VAwu64yKpeERABERABERCBfRDYS6DtVnS/eT+Vb1NxWRZzlrKSRWVsBQUTdVxTt8TQBvnxVST8ISS62zntcgh1XFPnv3kN2fZ65OM+5Cz4uK2pY1W7rqmTqNvt5ilNBETgmAlI2B0zYFUvAiIgAiIgAiJwVghQcZmgc4KP8yBFS93YEkMajGP+4Qu8fzqGjfk1xKNhNLS1ouHGoLOmLnCbwcfb4shFA8gHSyjRWrdTOm6qOWdnV7WJgAiIwMkSkLA7Wd5qTQREQAREQAQuLQHTPLWSZ1MObTKxs+qUnfLpi+BZdWaly7ANC2nAOHX5RxNYfvgS888msbqQRiEURKirFdGbg2h4cAOx4R7k2+pQ4fRLz/Ol9cEdhzea6j7b1dpzL59d0yYCIiACx0NAwu54uKpWERABERABERCBXQiY5PFkznb5Y2fbU7bOvRK7VLiPJLc0V/J5ljpH1NFSx+mXKZt++dMYiu/TiEXCCF2j98s7/Yj9gcHHOf2ywOmX2SidZtJKVwpwTSCdpXxZb/bRYWURAREQgUMQkLA7BDQVEQEREAEREAERODyBWvl2+Jr2U3LTNYupMRrpsMpgdRPLyDI+3fx3L7D46ziKM2sIcn5lspWOUm4MM07dLYQ4/dLW1BU5/TIb4pq6QJmC7jOSzhbd2SZPmS4HvYuACJwoAQm7E8WtxkRABERABERABI6HQLXFzwSYvZhmuxL3OZrrLE6dOUph8PEVhjSYejaOlaVVhBMhNF5pRXKkH80PRhC54Vrq8hE/vV9S0FlYgx2d3kXkSdDtoKQEERCBkyMgYXdyrNWSCIiACIiACIjAngQ8obRp9XLyWZqXvmdBXqgWdZZvsw4ramvqsnyZqHu3hPzjcSzRUrfwdBy5xTVUGNLA392GxM0hNN/jmrobPSi1JVCIUtQFKwxpQElX3SVWpU0EREAEziIBCbuzeFfUJxEQAREQARG4lAT2K+Q+BcdUWJUYtOmXFHUVOkopcPrl0g+vsfQLp19OpFEXCiPW1U5HKQNIMKRB8FY/ihR1mShDGoRKbkgDFv+8tc7a20v9VfWFubSJgAiIwHERkLA7LrKqVwREQAREQARE4MQIePLJCUZuJxY9fFPUYZyi7udxfPj+JaYZ0iC/uI46hjSo72hHnN4v43SUErjV6wQftzV1OYY0KDpx6rxa9zOMg+TdT33KIwIiIAIHIyBhdzBeyi0CIiACIiACInCCBKrl0l42Mc9C51w3Byb0j4IsS9L7ZYXTLy1O3fLD105Ig+UlTr+MRRDr6EBsZBBND4YRHrnCOHXm/TKAorOmjmX3buwER6+mREAERGD/BCTs9s9KOUVABERABERABI6FwO7yrTr1c806ljpTYzZv0nGUQnPd+AqK5ijl25dY5DTMwlwaEYo6fzdF3d0h1H91G5FBE3UxN6SBBR/30/elWes+16Cui4AIiMAZIyBhd8ZuiLojAiIgAiIgAiJwUAKb5jVTY0W+2Zq6twvI/zyGpUevsfh0EvkpxqlDEIkrnYjeGkL865sAHaVkWuvoKMWHrCPqKOhYlSvqJO0OeheUXwRE4HQJSNidLn+1LgIiIAIiIAIi8EUENpWYeb/Mm6ijpW6U0y9/eocFBh+feD6O9cUNRBNhNLa3oen2AJJf3YT/xlXkWxPIRXz0fllm8HEz9knMfdGtUGEREIFTJSBhd6r41bgIiIAIiIAIiMBeC9rMDrcltezMXtUbr1oGi1OX4cEyQxqMLiL7aBRL377A/O+TWF9ZRz4cQaSrA/FbI2i8P4zIcA/yLXGUGdLA1tSVWMlWO9X161gEREAEzg8BCbvzc6/UUxEQAREQARG4dARqpdx2ALxaoSSzNXXLOSdOnXm/TP34BqlfJ1F+v4a6eBSVq51I3Kb3yz8xpMEIg483x5GJlen9suiGNLBqtlesMxEQARE4dwQk7M7dLVOHRUAEREAEREAEPioxGumc4OOcfpmlg5T5hy8w92wSxfl1xIIR1Pd0IHpjBFGLU3fjCtfUxVGMUgsGKrTWfU7O7SUrP1dO90cEREAETp6AhN3JM1eLIiACIiACIiAChyBgcsqRWnZgIQ1s+uVSliENFlF8PIaVH19h9vl7LDCkQaA+jEgHLXWMU9f41TBCw70UdQnkQz4Ufa7ny0N0YbOI9ULi7vD8VFIEROA4CEjYHQdV1SkCIiACIiACInCkBLZWwVFUmaMUzrw0UYc388g/eoelh6+w+Ow9skvrCMTDCHa3IXx7CHV0lBKyOHWtMTpKoR60NXW+shO//Eg7qMpEQARE4JQJSNid8g1Q8yIgAiIgAiIgAgcgYGvq6PgSixlU3iwg9+NbLH3/GstP36MwtYZ4MIx4bwciJuo4/bJysxc5Bh/PRCq01jFOnRnb+PqUvc2yeI5aKhb/wDn9VAk3i95FQARE4DQJSNidJn21LQIiIAIiIAIisA8CPvhMYFnw8TzfFrmw7u0iCo/fYY7TL6de0lKXYkgDOkqp72hF/c3rSD64jQBFXcFCGkQrKNBSV2Tg8R2SztNrm/pte2eYaOlenu0XdSYCIiACZ4qAhN2Zuh3qjAiIgAiIgAicHoHt+sUUDQXVtu5Yju25tl0+0hO3fadKa9KsdFkeLHJNHUMa5H58h0XGqZt9MY1UKgPUxRDlmrrY8HWGNBhCdLgbJTpKyTP4eNnPCHXbB7LVU0vfc0ibF/Yqu1WLjkRABETg1AlI2J36LVAHREAEREAEROCiEahWSgdRRZZ3l/yOpc5EHRfWvV2gpW4My9+/xAJDGpTo/TJeH4f/Ch2l3B1B/YObiAx1o9gcRdbxfsn1dP7POEvZpclP35Hq8X06p66KgAiIwEkRkLA7KdJqRwREQAREQAQuJQETQftVTp5gqspf5nHeRB0dpbydR/bHUcw9eom5F1MozW0g5o+jsaubjlJGEPl6BL6RHqy3JFDimrqCv4QyQxpYrW7NXv2fvhHb81b1xSm2vzo+3YKuioAIiMDRE5CwO3qmqlEEREAEREAELhkBEz+eAPJk0ZYA8jmyyrv+OTSb5WxXZJmMralzHaWY98sFTr+cevUeK7amrjmGeGc3kgw+3nBvGL6hXmSZlqf3y7IT0mDLl+bnWt37+tY49s6jKyIgAiJw+gQk7E7/HqgHIiACIiACInAmCJj0qpYx26WYXam+6nXZclXndGWce9XNb+/VqdX53WteXZt7SzT3lVw6h3mKupezyD16S1H3BvO01GXSvJCIIXi1G7FbI6i7P4LQ9U7kmiK01FlRm3r5iXV1Nc3pVAREQAQuAgEJu4twFzUGERABERABETgiAlsSzdSVvQ6zbdXyqTo+WXuOVxfMUjeH3OO3mP/xjRPSoDyTQQMdpYCWuuidEUQ5/bIy1INsk8Wp8yFP75eusxTPWvfJVg4zOJURAREQgTNJQMLuTN4WdUoEREAEREAELjaBnXKLYtASHUcpPF7mmrp3i8g/GcPs49eYfj2FPC11dXSUkrxKRym01EUZfLxC75e55jjKYR+Dj1ecAOSfEpMXm6pGJwIicJkJSNhd5ruvsYuACIiACIjAvgmYFa7WEmdKzJNou12zyi3dy2PnW9tWCR6ZoHNCGnC/tIEK49TlH40y+DinX778gNRqFr5kHHXdnH55YwgNDwYR6u/i9Ms4srTUlXw29bK0VbmOREAEROCSEZCwu2Q3XMMVAREQAREQgYMTMAm2JcPc8t55rbirOOvpqqVcbTQ8K++Vduvie4klaKRzvF++sZAG77D88BUWnk6isJxBpC6OYG8XYneHEb9/E8HBTuRbopx+WUHJpl86wu5jbToQAREQgUtHQMLu0t1yDVgEREAEREAEjoNAtcDbRbjtaLJK2lnRAt/M++VLW1NH75c/vsXi71MozmwgEYqjocNCGgwj9vUwyoxTl2mJoRBmJISQWeq89XS1jVjF2kRABETgchCQsLsc91mjFAEREAEREIGzR8B0l82ezPJgKU9HKYv0fvkOs49e4f3LKaxx+mVdYxzxri403rnueL/0DV5Bzix1XFNnljpP1LkSzqyFe2+SeXuz0RUREIHzT0DC7vzfQ41ABERABERABI6ZgCeJqmWTpXnph2jeihb52uBrMcfg4wuOqDPvl3NcU7e+mkOJIQ3ANXXRW8OoZ5y6yICFNIiiEmLwBD+tdLTU2dK8Xfvhda26y05evYmACIjAxSQgYXcx76tGJQIiIAIiIAJHTOALhdy23lBtmSLL8m2Bou71HPK2po7TL5eeTaMyZ94vE/D1dKGOgs68X/o5/TLfGEUmWkYhWGJIg13l3LZER9Ox247Gk8Dbdgd0IgIicPEISNhdvHuqEYmACIiACIjAGSVAdeXpQ4tTt5hF5dUcso/eYPbH15h99QFFhjlIxBJo7O1B7M4wwn8YQWCoCxvNtNRZnDpa6lxRx/ISa2f0PqtbIiACp0FAwu40qKtNERABERABETjzBEw1VSsnT5EdtuMm6viykAYZWurmMyjTUpf5geEMKOzev57BCuPUhbmmLtHdhfpb19FwbxCB653INseQD9P7Jc187pq6T4g667J1dWu3fRjuJb2LgAiIwIUjIGF34W6pBiQCIiACIiACx0HAE3mbqukwTZijlAxf81mUf5/F+qPXWKSwW3gxg8JaFiEGH4/09SB+Z4QhDYYRGujgmrowvV+WUXQsdSbsWN7ryl59qBJ3n827Vx1KFwEREIFzRkDC7pzdMHVXBERABERABI6fwH7U0wF7YYosT1FoIQ1oqcs+pqCjo5QlirrKTBbJRAL+rh5EOP0y9ochlAa7Of0yggLDGeS5pq5ERym1Iu2TErNG/H0y7wGHouwiIAIicBYJSNidxbuiPomACIiACIjAqRH4ElHnlTUZtSmlKvRyUuSxralzHKW43i/nfhrF+7czyK7nUN9chyTX1DXcHUL0wQ1UGHy8SO+XecapKwboZ8U8YO6Tx37z7bM6ZRMBERCBc0NAwu7c3Cp1VAREQAREQASOk4AnyvZuYy/RZCW3rlksuc0zs9JZSIM1vuY2UH45i8yjUSxS1M29/oDVdB401dH7JR2lOCENBhHst5AGXFNHRyllP+duUhfatr0NN03vIiACIiACWwQk7LZY6EgEREAEREAERGAPAq7NbEu+VWfbSnWPvHNfiXJsnY5S5uj98sUHZG093Y+jWPp9BvmVHGIUdUEvpMHXN+AbYEgDrqnLhagHKeosVp1FRdg+B9OrvboHOhYBERABEZCw02dABERABERABETgEwRMSO0tpsySZtv2HH7YkjgU+LawQVE3jY2HbzFr6+q4vq7IgOTRUAJ1XZ1I3KKjlK9HUGFIgwynXxYjFU6/pP9LVuA4SnFq15sIiIAIiMDnCEjYfY6QrouACIiACIjApSVg6my7ZNuOwmSdK+1s+qX98zlr6phsIQ0YaLz8u4U0GHVE3dTbD0hzTV24pQ6R7k403hpE470hhjTooaUuigJFnbOe7qOlrrq1T/WjOp+ORUAEROByEpCwu5z3XaMWAREQAREQgRoCnnCqtsF5abuvcfu4ls4Rdz6+s6zFqbPplxan7jktdT+8xZxNwXwzS0cpBVTq6hC61o26OzeQvDuICOPUFRrDKFHUlcxJCi11FhVBmwiIgAiIwMEISNgdjJdyi4AIiIAIiMAFJmBCbkvM1Q7Uk3zb0738vGoL4rJmqbPpl/R4+QPj1DGkwcqLOVTm86irp6OU3m7E7zGkwdfDwGAPHaVE6CiFkRACXvBx6wLrcuZybm9JZyIgAiIgAnsTkLDbm42uiIAIiIAIiIAIfJaAyT2+zMyWpchbYJw6OkrJfP8aswxAPsPpl7mNIuoa65Fk8PHEnSFEvroBDHci3xhBhd4vixR1Jb+pQm57LqyzdmzzhKR7tvu7l7f26n7K1pbRuQiIgAicDwISdufjPqmXIiACIiACInA2CZQporzpl05Igw9Yf0hL3eO3+PB2DsuZAvyMU1d3pQfxm0NovD8EP6df5hnSIMc4daUAxZYn6myEtZa6ai3m6DV7q048CJYvKXuQdpRXBERABE6egITdyTNXiyIgAiIgAiJwQQhQKJUpsjY4nPkswDh12e/fYPnRGyy9nEExXUCkkY5SrtFSx+mX8XsjCPR3MPh4BIUQ19JR1NmaOvunTQREQARE4MsISNh9GT+VFgEREAEREIFLSoCizqZN2vTL2TQdpTBOHdfTLT5mAPI3H1Dimrr6aAKN3T0I3x5G9P4gykMdDGkQZ0iDMgqBIkMa0N2KGdF22dxkzz3LIYSfN6Wz1gK4S1tKEgEREIGLQEDC7iLcRY1BBERABERABE6SgImmIl8W0oCWuhItdRvfv8K8Tb8c5VTMtTziNv2yp9sJaRBlSIPKYJcT0sDzflny28o8Okyx9Xkft2oBtyntuKs4Iq362scCex+YoPPE3d65dEUEREAELgwBCbsLcys1EBEQAREQARHYjYAJpFrxdECRVF2tJ+rWmDi7TkvdDNYYzmD+ES11b2eR3iig1FAHXOlG9PYIp2AOITRgjlKiAB2l2JK8Hevoquvf5diseofqsax1u9BUkgiIwEUlIGF3Ue+sxiUCIiACIiACjqCrFnWGxDs/uFRyStBI59vg2yxDGjwz75evsPjoLVZptausFJBI1sHPkAb1D4YReTAC32A349RFkI3TyBcsOgLNbdlbWbd7P7yrO2/i7vl35tst5UvK7laf0kRABETg7BCQsDs790I9EQEREAEREIFTI+BJHk/2be+Im+orcZ9jTgs+/ozBxx++wuxjWutG51Fco6hLcE3d1SuIcU1dmMLOx5AGGXq/LDvBx0sUdfzHKipeY9sb2eVs3xlryh62XE01OhUBERCBc0RAwu4c3Sx1VQREQARE4CITMPHkCih3lCZODidQaktV13oogl5Ig7UiRd0GSnSUsv79W8z/NIrpd/NYzeQRaapDfU8P6u8MouHeIHzXu5Clo5R8uIKyny9vWmRt5w7VIRUSAREQARGoJSBhV0tE5yIgAiIgAiJw4gRqRZ11wJNjX6KE3LLmoMSrzRWLXp1eu5bDS6sdPPNQz2GN12cyKP0yiTS9X849GccK49TlMkUEkvWIDDBO3Z1hZ02dE9IgGUGJcerA4OMW0sA2x1K31REnTW8iIAIiIAJHQ0DC7mg4qhYREAEREAEROKMETFTtJdr2SveGQhVm1rpsiaJuDeVfphh8nGvqHr9D6u0CikslJOoTCHZR1N29gcjXQygNuN4vc05IgxKLcz2eTcH0qtReBERABETgWAhI2B0LVlUqAiIgAiIgAocl4Jm0TkoK7dFOmfEIiryWozCbo6XumYm6F870yw8TC8hky4g21qO+txPJm4O01g050y8LTVHkuaauyOmXFR/X1XnDOSwOlRMBERABEdgXAQm7fWFSJhEQAREQARG4OARqpdwO7eWtqUtzzDNprqmbxurDN1j4eQwL44tIZyjYGusQ7+1C4sYQkg8GEeprRz4ZRSliRj6LT1fbysXhp5GIgAiIwFkkIGF3Fu+K+iQCIiACIiACnyRQK5q2SzM7q85RfbU6fc8mbPbkOt9mGKfuN1rqvnuFhSejSL1eQDldRJSOUvx9dJRybwR1DGkQut6JclMEhXAZJa6ncxylVDe6Z0O6IAIiIAIicFQEJOyOiqTqEQEREAEREIEjIWDS68tV0eFqYCmbO2nTL2e5pu7XSaxxTd08Rd2yhTRYKSMWb0CytwdRTr2MfD0M/xC9X7bEUAqVUQiWKeosrMGms5bDdeJIKKoSERABEbhsBCTsLtsd13hFQAREQATOAYF92dX2GIepqWpFZXXtoz5bU1dgVrPUWUiDpzNIf2/eL0cxOz6PtVwJ0TauqbvSjaa7Q6i7z+DjQ93IUdQVKOrKjqgzD5jWrT0mYh6NZrUGtImACIiACNQQkLCrAaJTERABERABETh5Ap7w2q8gq873ud56ed027MxrzUo6V02Nmahb44veL0u/vsfK968dRynL75awkeH0yiSnX16jpe7uCEMaMAD5QAcKDRGUHVFXcqZgbq/Zaq/ZvK7UJOtUBERABETgywlI2H05Q9UgAiIgAiIgAkdAwORWteQ6gir3qGKHvrJmNxjSYNpbU/cSSz8xpAHX1JUWOf2SjlL8tNSZlS781QgqQ53INUaRM++XtNTZujqn7zsq3qMDShYBERABEThyAhJ2R45UFYqACIiACIjAeSBAFWZ6jHoOtMhhdoOOUt5j/VuGNPj5HebGFxh8vIxIcz0arlHU3RpGjI5S/MNdyDXFgDBFXYBx6vy2pk6bCIiACIjAaROQsDvtO6D2RUAEREAEROA0CJjnyxzFXZpzMKcZ0uAZQxr88BqLm6IuxTV1Pq6pi3V3o/7GIJruM6RBv4m6OAoMPm4hDawKibrTuHlqUwREQAR2EpCw28lEKSIgAiIgAiJwjgl4UsubF2nnXlrVsPI8XqWom+Caup/HkX74EvNPJ5EaW0KBcerCLfWIXL+C5L0bqL9joq4DxeYISmFbT2dOUlgn99pEQAREQATOBgEJu7NxH9QLERABERABEThCAnuIOc9bpumxjSIwuYLy43Gs0fvlwi9jSI0vo7wC1Dc2IMCQBhE6Sol9NQQwTl2uKYoiHaUUA2at20UoHmHvVZUIiIAIiMDBCUjYHZyZSoiACIiACIjA+SRggs4sdeYoZXIVxV/eY5Vx6hZ+HsPCzDJoqEO0swENV3uQvENRR++XlcFOFOgoJc81dWW/G3zcC2ngQvAsg7VIJP5qiehcBERABI6TgITdcdJV3SIgAiIgAiJwVgiUKcDyfK1SvY2nUKCYW37IkAa/TWJlKoV1GvAqrUn4+64iSkcpibvXEeprQ54hDSoRdxBb0en2I9pM8O0n31kBpH6IgAiIwPkmIGF3vu+fei8CIiACIiAC+yNg3i/NUco4HaU8mcDaNy+w+OsE1sdS8DF+XawtiSBFXf1XNxB+MAz0tSPfGEIuynAGjF1uIQ28f3vZ6Dajk3PtnQTd/m6KcomACIjA0RGQsDs6lqpJBERABERABM4YgU0JRmucM/3yfQqlx++Q/u4V5n6bwPLUMkobFHX1TYj19yDO6ZchE3WD7dhIRhnSoIQip19WzFkKq9iy2HnD3FPieRm0FwEREAEROCECEnYnBFrNiIAIiIAIiMCJEzArXY6vVSo7Trcs/Mpplz++xTwtdQvTK1jn9VB3A+qudqPhzhAa7g4C19qRpagrhOkkhaLO87diff+sjJOlzjBpEwEREIFTISBhdyrY1agIiIAIiIAI1BKonb74WRlVW8HOc7PU2Zq6iTSKj7mm7gda6p5OIEXHKVk6UfFxTV14qBeJOze4pm4Qgf5WOkoJoRJi0HFH1NHbymZIA+tNbQ93NqgUERABERCB0yIgYXda5NWuCIiACIiACBwbAcows9aZR5TJFMo/MaTBd6+x/Bvj1dFxSmXNj7qWJjpHuYLY/WFEvhpEiXHq8smw4/2ywJAGbpy67VJup7iz67sLUG/a5u5Xj23gqlgEREAELi0BCbtLe+s1cBEQAREQgQtJoEQpRR8p2KC1bXINxZ8nsPqXF/R+OY75mZQT0iDenkTy+lU03B9B5P51lAdakW+i98uQhTMwUWeq0LeHZKultl381V7VuQiIgAiIwMkQkLA7Gc5qRQREQAREQAQ+Q2CnPewzBXZeNlGXZfIyLXUTSyj8MomlHxh8/Ol7LE2nkaZeq9D7ZR0tdXV3hpG81wf/1VauqYuhxODjZRN0VevkXHucZ3vb2dynUmSp+xQdXRMBERCBoycgYXf0TFWjCIiACIiACBySwJfIIZY1S90K396toPTDKFYevsTc71NIT6yjVD2T1gAAQABJREFUmPMhREtdsP8qEl8NI0xLnY8hDQrJIIpcU7dN1DndcC1xzrtnlPuS7h2SiIqJgAiIgAjsj4CE3f44KZcIiIAIiIAInFECm2rLRN2aiboFFB6OOiENlp5PYXVqDaW1AKJNDQj19iB2exjxe4MoX29HpjGKMr1fFvxFJ6SBDbDC6lxLXdVwrQlP3FUl61AEREAERODsEJCwOzv3Qj0RAREQARE4EgKMpr1t41qzqm2nPtkuY86yUWpnT9lbWw6X4ZUU3VxOpJCjo5QlWuoWn05ieW4dG4EAglfqEKOoa6Tny4Y79H450IkC19Tlbfql3zxfWqw6l8z2NqrAnWUwVd3UoQiIgAhcVgISdpf1zmvcInAoAu6D31ZRPeltsdDR2SVgQs8Vd1ufYC/NS9lTzpyhYbl9rDhOTTa/ezasHNNtTd3bZeR/fI3FH15j9vk00jPrdJTiQ7mLlrqBa6inpa7h9gCi19tQbLCQBp6os0pcPjZYfauNgjYREAEROH8EJOzO3z1Tj0VABERABI6EgJ8ihh4gz/McwxJFnVnquKau+GgUq9++wjItddmZDfgzQcTb6xHsu4b4VyOIMaRBoK8TxWQI+UgJxU1LnTPHUmruSD5RqkQEREAETpOAhN1p0lfbIiACIiACJ0bA7F2AO03TjmmvQrFMS1WlgoDfj4DP3PubwtmyXlmJs7N54QfYR5t+WeQozM0l49Llf3yD1W9+x8KzKaQ4/TJX8lPU0fvlIIOP37uB0INB+AbakGOcOnBNXYmirmLCztnOtbTdHIN2IiACIiACEnb6DIjApSVQvQ7Je8C7tDA08AtMwBV0NkA/bXM+irkS1tcymJ6exeTUDIWdH7293ejuakUiEUWIa9JM3J1NIxZ7xVmXzpq6ZTpKGVtG7skYp18ypAG9X67MryFDkerrSsLPkAb1d4aQvNsPXGtFriGKoiPqbD2d8dAmAiIgAiJwkQhI2F2ku6mxiMC+CVSLOivkrTf6XAV6GvwcIV0/CwTsh4oty9yWBY5pVHnZbAHj4x/w3XeP8e23Pzsd/jd/9yf83b95gP5rXQjVWVnXirX1id86OtUR0rrohDQwUfdmGQUKuqWHv2P+xQzWpjdQLAbg60wiPsw1dfdvIHZ3gHHqWlBsDKEUKaAUMJm7JXVPdSxqXAREQARE4EgJSNgdKU5VJgIiIAIicDYI7GaF9tmsS6TTGbwdncCLF+OYmVqkt5AAXvK4s6MN7W1NSNRFHGvdGZFymzg3e2PWulSOjlIWUPx+FGvfvcYKQxqszazRiUoQiZYmhPp7Ebs3guhXAyhy+mWW0y+LdJRS8Nv8TW4fB6YpmC4QvYuACIjAxSDg/qR5McaiUYiACIiACIjARwLb7VI2vZJL08oVrKbWMf5uGgtzy2iiEGppacbC/CLGxiawurpG8Wdr2Sz/af+JNAVmfeDeYtSlKVZns8BrTr989A6L373Ah+cTWOL0y3VOvyx2NiB+4yraKeraGHw83t+BCuPU5cOVj45SKr7dBC/r1iYCIiACInDuCchid+5voQYgAiIgAiJQTWC7oPOuVLhqroJcrojl5XV8mF5APl9E/0Af/FxTN/Z2FHMf5h1hV2C6PxKinDJhZbXtXqNX87Hvi+zHOgXZfA6V17PIPX6HhUdvsfj7NFbp/TLjp2/PDlrqrtP75Z1hOkvpR7C3BXmGNDBLnf2rts3ZaGxk2kRABERABC4WAQm7i3U/NRoR2CcB/Wq/T1DKdkEImJgpFotYSaUp4Jawtp5FLBbDAMVQKBTAh5kppNfWMDe3gNUrXWhqTiIUNPljFrNT/L5U2Haer0Va6l7Mo/DtGyz/8AJLr+aQWcjCXwwi0tmI4OBV1H99A5H7g0BfG0VdAAVzlGKizgKPWwByu5eO1xQeS9kZDW0iIAIicKEISNhdqNupwYiACIiACOxGwLRNNpPDNL1gvp+cgd8fQFd3J3p6OhjmAOjsbMHG2jomJqbQ3t6KeDxGJypxVrW5Lm23So81jZ2ypi34+FIOZQq53F9eYPW7N1ih1W6Noq5UDCPKaaTJgauI0lIXZkgDcE1dpiHsBB8v+VgB19U5gu5Y+6rKRUAEREAEzgKB015AcBYYqA8iIAIiIAIXnICJm41MFhPj0xifnEQ0EsHAwDV00GFKR2czp2ReQSQawti7KYwxTyZrXkqO6k+kZ/nbXC9Xw9r6tl18Mb+tqVtl6lQGld/mkP3hLWYfj2Lq9QfM03q3FmaQ8au01N3pRZKCroUhDep72xBoiKAUqjhx6my+5fZ6axrWqQiIgAiIwIUicFR/tS4UFA1GBERABETgohCwP3MBOkSpILORw9T7aVrtPiAaj+L69avo6mqmuGvG4PVeWumimJqZp0VvFhsbeYoiT4h9yZ9KE3X28rbt5zuFF6/bzM8NXrE1dc/msPEvLzH7zQvM02q3upxHJhBCuasF0Vv9iP/1DST+OIRgfxsqDUE6+KSVzix1TiW21yYCIiACInBZCGgq5mW50xqnCIiACFwSAlsyyhVkZa5T28hmsbS4gsWlFAqFApqSSVzt7UJraxPNWjn0XOlEY2MS+ew4lpbSWFpOo7WtkevwfEdmt9vCXy3uTNp58s7SeWxr6pazqLycQ+HhG4Y0eIPUqw/ILBbgr8QQ72iko5SriH9t0y+vo3C1FeV611FKicLOWVNn9WyB2GpaRyIgAiIgAheWgITdhb21GpgIHIaAZ5lwnwgrH58M93pC9HJ4D6be3kwO2kTgLBDwoVAsMZxBCpNcP7eyusr1dUGEwkGU+HHdYEy7si/P9WpAMBhxrq0wHMLk+BRaW+o4TTOJcNANlXAkozEjmjWc5wEFp48eLRGy7x1f9rXJ89oKRd2reWQevsLyd6+w8opr6hZzyPnDiNH7ZePIABoeDCF0vx+l/hYUHFFnDlHMUYpV4n0PeahNBERABETg0hCQsLs0t1oDFYH9EDABxyDOfMg0O4Vrq7CH2mph5x3bw6M9RLrTvsyZvJV007jTJgKnTsD9LOcplqan5/Hb87cYffseiwtpJ1D53Nw8YtEgj0ucepnDm7eTmHg/h7W1HJ52tKKd3iabW+o3hZ33o0f1oPbzA4Ynsvi9sex0bonlHIoMjF5KpxFIxhFsbQRidNRSZhu01JXfziLz6A3mHo1i4e081hc4/ZLhF/zdZqnrRf2960je7QOuNCNXF0bBCWlg30PzfLnZnvc1Zao2ERABERCBy0FAwu5y3GeNUgT2QcAeXO1pkBaOcglrKQY9pkv4UtnS3GDNzrOi88aHR+7NHXw47OMzaQThSMDxLrjb4+8+GlcWETgAAU8seUWcD6V3UrWnsKv46Qglj+n383j1YgzTXEOXTmWRWlnDq5dvaTGzTyzDAtCKls+VaN0ro8ipkK9ejWJk+CpGRnqRiIWq6qw+dMtWp7jH1f2r6luB6WuMKjeZRppx6FJT00i0N6Fp+BqC7e2Mx8A/yZOMr/f4FRZ+5GuUVrvFIsqBCK83Ijp0FYmvRhChoxRcbUYxGUApyOuOpc7arG53Z6+UIgIiIAIicLEJSNhd7Pur0YnAAQiYOSGAMgNcLc6t4J///D2ePH7miDvXO6A9oPLl8yHAh+FwOMA1SXXovdaFO7euo6+floT6KMWeWfq0icDpE7BPdKFcwNrqOmbnl5FKb6CnsxPdf+xGnDHstjbaufi5t9c6PWfOUvw58e4Y0259PYeGhjj8vurP9UEE1GZex1pHq9rsGioMLJ77ZRyLYxNYqacXy5k0mq9dRbgYQuHVFNZ/G8WqWe1oqSuDa+raWxDhmrrY/SFE7/eh3NeCLIOPl2mpK/opFCnsPn7nPh64o7PTg/R2i4mOREAEREAEzhsBCbvzdsfUXxE4RgL2AFihhW5hMYV//fMj/I///tBZs5Ogt0BnLRAfH+1B0U9hZ0Gd6+oT6H3XxQfnNVo6ihhkkOTm5rqth8xj7KuqFgGXQLWS8ezFpqL4WTanKWsbmF9YxsrKKuIMcXDr6yH87//4v6Knq8uZPOzWwU8+f7CoFH2YZJy7/++//U/8/up3irtVll2gsIshkUjQIv0pieS1bTVa+15e9o+C0QlfkMoD7xZQ+m0c5WczKNq0z0AZoQ9ZxMfXUSkFsPpuFvMTcxShBWyEwwi1JxEd7EPLg2HU3etDqa8ZhWSQ0y85+dnW0zmvjxMwneFUE7FucGgfN69XHxN0IAIiIAIicGEISNhdmFupgYjA0RCoVAL0GljB+loG/oAfd+4M4v59Tv+KMugxXcZ7Wz5XxBwte6lUGj89fk7LxgY9CIbR0DiAMIM/uw+3Xm7tReAoCVQplY/VVgsr97jEHxsW6Qnz3bsJZLmG7go9Xw4N96GPVuaO9jaW3Po8m1W6TJ0UCldwfagbqVXGjsusM67dJJINDYhGYwjQGr29jNd4dduWZueuuKT64hRLnq7zbX4N+deMkWfCjqEL6pcy4LcKwQVOuZymc5RKCCtMW13nmrp4GOhpRmxoAIn7w4jf7kfgSiNKCa4JDJqoo/XPhCard39uccdSPaKPw7PE3ZAxWZsIiIAIiMDFISBhd3HupUYiAl9IwB5G7enPnhQDjlWuubke//Bv/4D//J//EXFOs6Syc9qoFCu0Zmzg2bNRfPeXJ3jy5Hda7Ar4+o83MVLqd59rv7A3Ki4C+ydQK6zckkV6w5zndMrx0UkUGeLg+vVrGOi7whh2jGvneDHZFF9Odv4YQetXLF7BQH8HUsvdjGk3h7evx9Hd3c14d510m2ntmJOS/Wyb4s6EHdfuYWUD5bE55F6+R+b1LMJL62DkOeefb52eOSn8sghSDtJjJ+VeNNGIAKdnNnw1xJAGAyj3NiPfEEAxXNoMPm7fRU/GeXvrl3vsMyvhx7PNAzfJSdebCIiACIjAxSMgYXfx7qlGJAL7JuA9Dm5/3rOzAOUdnaEEAs5apPqGJOo5HdPd7HqF1rlG5okzNlgBT5+O0sK3gWyu4Gm/zbzaicDpESiVSlhdTWOOFrFYJIGhwX6uBe2hJ0z7fJsZrVqkcZ0aP9qJRAh9fZ1YTaUw8+EDPszO8UeMFVrzqkVg9Zi2i8pt3ykTV9bMGsXY+DIyv45jjWvowKnLUbbtrvLzOba9IjNu2I8qJusicTS3tSPa14cQHauUrjShyDV1CNPJS4BikALUnXxptjqvxeo+6VgEREAEROAyEpCwu4x3XWMWgX0QsMdFC3tAMwUdR9h/FREnhW/u5mcMO6ZHuW6puTlJEVhCPMo4YPZsqk0EzgCBAKcSNyRj6L3K4OP8caJvoIvhCxro4Mc6VyuI3HOLWWdBy/sZVuDD3CwFXhrJugQt2PbBNnFn+TyRt13U8cLm5n57nLV1Geadp3fZV3TE8nwKmTcLiK7k+bOJ257VascWETJMsWeC08fwC36uD4zS66ytZS1wymWW6QVazEtmNa9a62e1bP/KuWeOwc5twu3T9kyb/dROBERABETgIhGQsLtId1NjEYEDEtj7Wc99XCzTBfzaWp7rlDaQr6NlwXlQ5EMo98vLq/j92Ru8fv2Owq6J09Wa0NLSylmctr5OmwgcNYFPqRQTWtUiyxVeEYbgGGEw77bWVq6dC6OltcURde7n3hNnXj+36giHQlyP14F//+//Fvl8gWKwhV5gLZ/1obrcVhmvlk1Z5Z5a9lSODlOW6AnzA0qv5/nFWaeQK7C3brRIy2/ZuMKPtjoTaQyWnl9DcWke+dlpBOfaEGgNIUKLI9Wl4wWz2s7orq9jQacW21dte3/BqzLpUAREQARE4KIQkLC7KHdS4xCBIyXACV58Zl1aTuPP//KDI+IiEXOeYo2YsKPgY4y7qckPDOycwZXebnR0tDPcQWKbB74j7ZIqE4FPEqgWXG7GAJ34NDc2oKkxyQRPAtWKs+pKXaHm45zMRDzOlxcSobpsdX473inuPtrQGBMPH1KoPJ+kF8z3CEyuIJIpOA5T7OcPT3fZ3hV6tsKuQttcBusbS1idnkRkvA6JNq65a+iEnxbx7QLWlXNePbyoTQREQARE4BITkLC7xDdfQxeBTxGwyWErK+v46ckzehUcY7gDy22PkK7Fzqx5tqYuHks4YQ+KXM9U7TXzU3XrmgicJAF3HZrzq8Q+mt0uEF3R9Lmy1WVYwk7pYAjLjEM3OoeNp++Qe/4evqUNrq0rU9h53yRXmFl2m4SZ5YsBEZy1dsuc6rxRXEcwvYzWzCpayi28YsJuq+x2Wed+N+16dW/d/luqu9Wee+m2ry5Xna5jERABERCB80FAwu583Cf1UgROlIA94Pm4jieRCKOfjiQGB3sRCZstwX30swflTLaERVr01lazSKdX8W5iEvdT/RR3dCNvXii0icCZJFA9ZdPrYLUw89JcAbV1tv2oWgRt+7TbhQJTUvSaQgudecFcf8OYdVyrF+UUTAtv4PXAWnVFHWij8yHNc0o5FBpp+R5oRd3wFQQHexBsb0IhxomaLGhONrdv3rdye+quZ9Wdrs6wo87qizoWAREQARE4LwQk7M7LnVI/ReCkCfBhr621Hv/hP/wN/o//8z+ijl4xSxYM2TYu8knTRfsbxuR69Og5wx38irG34xR69B5IS97HJ1c3t95F4AgInKz6OEhrppc+5rcFcFmmpDIovZmjw5RJ5KaWEebU5QhlnP3R9aZhWlZX3NkKO7pQCYdQaatDpK8VsZt9SNwdQOBmL4qdSZQZR7Ic4oRNa4jVV/92Yu1/dvtUJrv2cQCfrUkZREAEREAEzigBCbszemPULRE4bQK2qihI5xMtrUn09rYjEYuzS57bBk4Z42FDsoVr7XL47dfnDOicphUvS4udParKgcpp3z+1v0XA0zTHpV3cevluDRW53yiiMpdlvLoZrPDHD//KGhKUbuYcxRSUfYssCkKBx/ayKZa+hjokKeiah3sQGOxGkB48wfNcRxI5hmAoBtxWmNndDjIo5nVLV9dxAEuf16b2+yKwRXnryCt49NR3tuG25X1AvJa1FwERuAwEJOwuw13WGEXgsAT4bFBh/K6SE8PLsy+4lQUDYcctfDudpoTCAeQo6soMCK1NBC4fgc2Ha/tNI8e3hQ1UXs+h8PIDiu9TiPLHD/tjyyAGjqDLWjZH1NEKl4gh3JVEnF4448O9CN+8Bv+1DqA1gVxDBKWonwHJOfnZe36vfl730j4HnPk8x0e7Zt1vPbsWVuLuBAx61ZWPjO2g+kJVngMffqz0wCX3V8Dqt4nDZ+H/dW8Cs/XcvmjaREAEdiMgYbcbFaWJgAjUELAHke0PI84jBRf8WHivIGN/lRgczI31VVNUpyJwygS2P/7aQ+GXPyS6dXr18LthXw97/l2n+5PxRVR+eQf/i1nEU/lNL5iuqLO1dGtsP2PB9DoaUT94BfUj1xAf6Eaouw2+9gaUmmLOmrpciBa9Wkudx3L7oLzUvfeWf/tX2M170Hr2bkFXqgnUsrbzc8vaPuenKaa875kH+LT74/VDexE4ewQk7M7ePVGPRODUCXjPHxYH2Vy/Bxg/y30Y9p5WzCNmFjN05T47M4swH1Lr4knEEnHmt7xWg7e34Xjlah8OLI+3ea3uldfLp70IfCmB2s/hfuqr/jxbfu9zulnWgjxmOcFyPs21dTPIPZtAeWwZMVqxA/w+WO4ivxPmEzPEaZeBq0kE+zsRu3Md4dt9qFzhtMvGOIphP8Uc8/IXkxL3JX4ttjlM8b4mm80eaPclZQ/UkDJvEbBJ7Uc/AXOrfh555tyqwPXedfeW27t7tPWp9Y6q/w/2Stne0r3PvJfnMN+b6jprj716LX2vD6f107vm9bm2Hp2LgAh4BCTsPBLai8ClJuD+gd3601/hn9ISSqUy42llsMw1QoWCrQqyP6wVplewtLiK356+ZYDyN6ivi6HrSjtaGptowaMDCK4mKpVDDGhuj7QhBAJF7s2Ru01As4cDe9Tx/vsJMm+Aef2OKAz4LS+DOvMx2M3Lw1P9tdja13YZCVR/Rm2FXKlIpeULwoxoPr99lu1zykAFRX5/bH7lQh6Ft6tYfrWAxbE1VJZs9Vycj8cm6fhwzyjnoY4mNFzvQuzGVQSHr6Lc34Y8naOsJemciKLOFXPMyzaO4jH2KOq4jPf+WMbMm1Ht9Ka2jcPdK0/0WG12vFstdMzD/4v5AeT/3Ty2/4L9/MGBL/tcVyoFJvC6mZx5zWbel0pcEVpocsLc+H0Z+AMF53O89X+x/T04zOaJOffHjhI7U2S8xxLD5VjIHP4hYH84Bv6wEQwEOAvEj1CQ37mAn+17Y7UxWj02EG0iIALVBLwnq+o0HYuACFxaAvYHky/+obd1dUtLDFD+50eMZ7cKN0A5BZ/zt5VTxCj0Uql1VPhH+dq1Hty6M4S2tg5e5zSyUgzrqwGsphlYOdaAZIMP4fAyr62wdnsYtsdcRvOq0AF8PsR8ZWQzAYZXsJh49BwYTDHvKvOZGNQfb0LQduIE7M+jPTzajxRhbKxHkF616cb1qG8MMfxHmg+7S/BXNvgUzIfidT/yU2nMPl/B2Os1LK7wBw00IkZRF46WUN8WRFNPE+IMHxK73oPQQA/8vYxN15RAKcEfNjjtssTmbDbn5rfwxEesBo+DQI21zm5u7ebpldr0IzvnB6scp3hKYiMTxPpa1hFqDfUUT+aJ1ZQeP+PO/7f8RcGMz8Wi5WugQ6wiItEAGhq5D7Oc83+yibpNIej00b4n1dte/2d7+VxRV2Csx5WVNCYnpjExNYO52QVsrGUoLGnX5o8gycYkeno6cfVqNzo6Gf4jHnGm/rsCdq82qvuhYxG4fAQk7C7fPdeIReCTBHy+EkJ0q15XH3P+wJpVbvQtgyvbYjpuNjXTfklNJCLoaGvByI1+3LszjNt3b6O5pZUPCSHGtfNj7F0RU1NFNCebca2/Dk0tRYq8DVo77Ndh/hpcjiKXC9HyxyVJ4xtYXvaju4d5+yJIxNmHyAZ/nzVh96mt9inp2J+QPtUZXbswBOyh1R5CgwzfEUJmI4Tp92U+gDKEeKCOP2TUo73Dj3higw+a/KEiz8/dCmPRja5j4tkCXo1uYG0lxtK0zvFHjeRVoH6oAQ23e9FAb5c+erosNcaQrwujwO8avwb0esmvBKvxZtVdGJSXdSD2X1Htf08fWdRctHyWdEybWetK/LEtm6nH3Adg6v0KBV2GoinB/7M5Y6LADyD/3zYfrdaVAv/bZeQazE5XML+YRbIph4H+kJM3HC47XbW87uaJtc91fiuftZHNFbC8mMab0Un8+ssLPH/+BuOTU1jl7JAipy9HIxG0tDRhaLgf9++N4N79GxR47Yh/FHefa0/XReByEpCwu5z3XaMWgV0J2G/LPn+F3i4b8A//8CfUcc3cxoZrYfv/2Xvv5ziOdFvwtPdAN9Dw3pMiKYryd9y9E3djN2JjX7xf9k/d2NiI9168++6MZkYaSSRFBxLe24Zp73vPV4VEVze6gQYIiCKQJTXKpatTxcw8+Tlz5kF7EVGR4c9HYtff24kJSh7ukdx1d3dyFdiNBFeDl5fi+Mff9vDqdZrELoEnXwzh8WM3BocDcDCEQoWSumzGS+IXx7Pna3jxfB1HxzZ88kAmCwMYHqmgnRNew7SvYUv1RY3ATSNAqQLVg9PpAifCafz08yGe/nzMa7349NEYPnvix9hEACEPJQdHJWT5ze+8iTO2YxzvdvPIcLIcdIcZk64L/schBD8Nwz7JQON9QRRCHmQpIFFkTuzoTBZwMuG/wUn+TaOmy1cIkL4ovUthMidb9dVWjwyZnqSpXlLJr2lvA50WY2cnQwJ1iJcv3rCuBCanenDv/jjyGT8X8YKoUMW+TOnzwb6N33EJL15s8tv/BYNDRZK9KPt5EsGog6qR0lCxHbzaVqbK5d7uAWOgvsTs2xXEj9NcKGzDJzN0HERpnZgACLnL5fJYW9uj5DCNfD7He/cwMtxH1X+x5b5q7Vdrs86lEfhYENDE7mN5U7qdGoEbRUCptXCwpgF+RzSM/+N//xN+/4evOciyYq7mWpefZUil0I5OU2zwep380XZIPPiVixyMM4jtHWBxaZUTiD24HEcMZp5gueNwuhinq4MrxCUn9nbK+PnHY/z1byuYnX1tzIHaQk5MzzjR1+8hxbTMhm702XXhGoFGCPALpIpaoZijynEcG6sbeP1qk6pijE0XS9LebowLHP0YikRQ2sxi9U0ev7y24dmmA+tJ/juiIV5/B4nfgxH0f9mH7nuU4EVpZerlJNtDqYiDtqpVIcZJA/Q33+hNfGzXqm/RPDI4yMlF2ZmUxEpM5Lia63LPWy2xURlGqRWxl84hSXvp3d0VLC3NUqsigf1YGtl0LxfwOpA67jEW245jHszNAnPv9vD8l5c4TrymdM2N8fEyJWZRhMuh92gr1Y1JHuPxDFaW1/H82Wsu7u2gf3AQDx/ex8TEKMLt/PdEYnd0dIw3s3P4/u//xObWFp4/L8Prt1OtPwC/j/+WnGf+8VwONp1aI3BLEdDE7pa+WP1YGoHWEagOkOZUg9ZvZG2ecAgR2jiYKmmSxjoRkemC/ETCJvsy/9LVBB2fBINO9PR1YmiwhLm3ZWytZ/Hspzkmobe/fAj3PwlxNZYT4J8y+PvfE3hDKUeRM9zR8TYMjQbQ2+umihuJo12RTRbfdLO2qdG0prbVTYvRNzQCNQjIagZDedC5hM9vQ7QriP6hPnRFi5jbS2OWHi8rtA8qpv14MD6IyqETPz314KeXDmxstaPoLKGr24vo4yEMfzuByP022Lpot+qlcxUn/61QKq5VLmsAv/0nFu5mkC32l2bvVduHXQmIem+YRgX8o6RaNtqsectcVHNw0cxPW+g2LlbksDiXQS4VR6SthPWlNhwdODH7wkMVzDSW15ZwcBTjIh+/fYbh6B/oRnu7m4SKzoLY35tWctLnSj9dHUNkLGj8RHLVgUwmjSWq9r97u0xSmUNPTycePZikRsc0+vr6KLnzGsik04ztGJApapoaHXaq6h9ifn4F09MT6O1hnEe9aQQ0Ag0R0MSuISz6okbgLiNgesQ0B2yFg3WoVoO4GtzNaYox2DNZgDYQA3QK8ejTHuzv9yOX2WBIhBieP91nEPM9quBQ3abgxk8/cJL8lgN9rhcjE2E8+byTdhR9GBikH8GAeByUyXUr5E61Ue81AteJgHhlrdDWhwsVtIm7f68fe9t9SCe2sbKwhXeyIJHaw9YiVSyzfkofHJRSR6heOY6O7n6SugAGfz+Ejid9dJBSQtqTR8Upyx+U1PHfSYWTbinf/Ndzne3WZf1mEVDd6LW9dClIFdroqVVFJHYeqth3ujE52YnjoxmqGEexOFvGylsPNu20d9vyI591YY6eU3yhY2TyabR1Uf3y/hQ++6wLY6MOOjOJw0VvsGa/bO2brceN2qGuMX5jush/J+tYom2dOOSamhmjCv407f16uIji5NPkjScKkNSNUkLodHxqXH/1YhY+L52niKrIuc+s6tJ7jcDdREATu7v53vVTawSMCWXjKYE5GVArsiZUauAWUieEq35T97l2a6PUjoPyzHQvirkhGhL148cf3mF78wDf/2UFC2/oZbDkx95GkoUEMDz1Bb7+2oV/+Z2L9no5DuJ0DS8OKS455VVTmPqW6XONwNUREOkE6PTHjqGRKL75ehDlwiBsZTp6mN/FL093MfeKBC3fhsNV2gGhGx2BAYx86sFn/xbExBMHHJ1l5L0F2qby34gRGPLqrdE5P04ErH3T2T63erf+XvXOec/dIJVRkPw5ucdD6kvA5S6gr8ePz+iIpJQroZLOY/GVHfuUQiepc1+mRK24cWg4S+kZjeLTTyfw+z9249EjO8Ide9TIOGaZKuxN4zZRzn1yozomVFPa6GWzgM3NXcZA3aeN3zDGRgfR0x0xVPplMU+FuJFlD5HYDQ53wed7hFF6Xna5aNfd3wuHYeNXLVUfaQQ0AlUENLGrYqGPNAIaATUROEWi0eB8erPJAVeHXSWuDldoN+Fj5IR+EjzgL4dvsPw6iZ13axz6XbDTJm/04Sg+/6oXX/+LE/dmMgh37nDykOKQLpOHRgTybJUNpjVnE+krGoH3QMBOUtbeXsbUPQ9dwUdpX2ejrZ0Tb57tY5u2QKIuJhPazmAUE5/348m3QTx4bEfPQILOgvZ4nyrLVIc7nWi/R1t01luAwAnnOtN3yQW5d+2bfHtFqrfnEKId88hACOVPAigelZHeieH4cJNOU/JM4WX1WbhoyzZ9vwff/ksUTz5zkkxlGfKA/bHxDV+1cbJUSHlcvky1yoQR5sDDUAtd3R30wOyl2rMaa2Qv5LDCBT47Aj4//MN+2uENsH461JKfMU6dQe+qDdP5NAK3CgFN7G7V69QPoxFoHYHq/EENpJJXDa7NyrGmVWnq83D4tnEi4BKPmG6qsDnpbKIfc28yWHuziwSdwLs4hYjQ4+bIZAiffenE5HSFtnl5OBkIVwV9rk6CrQN4tdVSu/WOao11X5vaekcfawRaRUC+Z36bzhS/US9Gx7z00teJtRUHlucDnKDSdo6xGf1uB7pGwnj4ZQj3PnUg0s087hQnrHRHaJewHbJQwS9WjOuMD1OrYbb6Bm5lOvkGGnVg6to1dl6m9gVVi40y6fDKFURfpw8zI7QJ7XFiY6mMVK7I5tDjMXvnaIcXD+9H8OixE109jF/H0DN2h6jHS1+vGmi+lfrHEBV+6zXzMYSoyU/CLrAuSgpT2QwdcDnh578pt1tUMGVTi3lqTDFDkov0zk5PzNI+s35138ik/2gENAIWBDSxs4ChDzUCdxcB60BpHbjN4bYWF2va2jvm4C3DMAdomdBW4vS2VmSsuiwlHHGUGYyc0b84sU1y+KdHtswBvbMx9EGa8cIqMvFQE+BmBvj19TU+b9Tqxin1VY3ARQjI1yTfPL9NexL5QpYhPRiPnB4Gc3k3KZ3bmI4y2h1lHUlkSm3ISzBoxms0vmfaL5kqZorI8d+X/BPTH+lFwN/+++obOOly5dTa+14fAJR+8Ru2y5daKaBI+7k0HaUcrNP2M7ZDYd4BKZfQKollRxvQIvtrhqPJGmEQSKccIpGWGHdCrYSg1Y4BrbRbPZe42SoWi6yDZbBSp4ukzmCcKoX1qVU9poyuFh11z5peH2sENAKa2OlvQCOgEbgmBJRRO0Mj0IYum6R3tZUyfvzHKr7/6yJ21lJw2ToQah9C2c3BvbSD1bUE/vlDnKu2XfAGfFzBbWNgcpI/SvwYwpaTCLWCe01N1MVoBFpGwJQyVDj7rFQ8VCHzYH/XwThgx/jHP/YMCXSCruHphJ1T1RS/5wTjfzFO2GwWgXAUngBjNjp8tBMqwCE2o7LQYagYt9wAnfAjRUDxtUbNr6cvDdM2vNiotCbXjEpM+RY7UdjpkdhR8sBW8KCQcuJ4o4C3zxbw0/drWH53TFX5EoIIsbcVO7sswxGk8OLlBtq7adfmG8SYzYdgW5a2bdInS+Hyb0PU5atbfZOb2drJsp/DSdtThiuQPJUKy5Mi6wsw6jDLLzPsSJGhdMgwqU4qqpjmv816glltjT7SCNxdBDSxu7vvXj+5RuAaEVADLckdg4/nMgGsvqML+O+O8Lf/iGHh9TbH4AImPw3SK1sbvQN2YH45g8P4PmPdxTjI97Ito3jyJEqvmO10zX3EyfABr0k4hTMj/jW2WxelEWiGgEgJZIjkZLjgx862j55d8/juP+N4+uMhJ79eLlIwsPMBAydzMhygWpnDXcTa6gJVMHdI6kYolYhibKyHjiGOuVhBxxD8GbNY/Uk3A/32XTdIFh/rvHcu9074zXUBIARKNsNfT4VSsXyAChRBxJayeP7TOp5+v4zlX7YZ266EkDuE/okBtDNMzUF6FwfJfS66JfHdX1wMXE5Pr/kwJu8FGUOOUjuG6pB+mfSM+8suvNE9C+M7erwuw8OlSOqKhSK1NUrs79UYIpI4OZZNlD8rSKeyOGAsSXmmdsaNDPi8TC/Pp6V2Bkz6j0bAgoAmdhYw9KFGQCMgCJw3A2mGkOSRgd5FyYYdse0KXj49xn/+9328eppFKkFHEqNefP2FH7//U4T6NxH89Sc7/vlTAdt7C/jleYorsQx07o7Ax2C50c4S7B4ZyGWAtw70Ur8ezAUFvd0kApTS8dsTYlcsOxjzy8mAzTn87btjenjNYG+LgcdDPehmDK6t9Q2k9o/QM0mps69CxxBzjNO1YdgEORx+xoKkp8zOAiezSRI7Su7qY47d5GPosj8cAorQsQXSO4pg6tyutWG3aynEeJKGiYw71j8qleyNH+OEFhMuHK8C8z8l8PQvq5j9ZRnJTAFBezuGxrrw7Z9HMHy/A2sxG358kWWcuQTmXtPurnzIhQo7JXYe2trZuUjh4CKFSe6sdZ49tvbTciw//otyMWxCWxBtIRJNgpJMpBgAnTHrvHTcYpC1KqkrMvRChirPGxu7WFpeo1dP2mzPuOHzkNiRIOpNI6AROIuAJnZnMdFXNAIagUsjwEFWxnqaIeV3U9h5mcDCD0dY/eUY6c0Swm1+PKajlN99FcbjR1Spoft4Z3AINlcZ//w5gf3YCl69mkVnZxDRbspIXAW61yatE654unqrGqXInjrXe43ATSBApTNOPNPJHNY5sXz1KoNXL45wtNeOzo4xOkjpQThSwfOf7dgN0ovgvSiDOfsZRDmOrc05rK4sk/y5MTrKCTGDQ7vcnGRzMqokKdJiUWurn7rfxJPoMj8AAsI7Tl6usWvCQxq//8ZXzQIbF2S9KsciWKNzYtgZxsCWKiK2GsPiD8d49bcNbL5YolbFIaXMIUzODODrPz/El3/qR9dkBeOpKPwRL6VocbyjWvEiYzaGO/epSREmuXOgm8oVbiPcgPVLvhhfU4WTcSHpZKiHnjB3uzsZNy9vhD6IhKml0e2DyyGLKfLsxhPQ9jqJ1dUtvHjxBq/fLKCD0rqe7h50RTu4jmim0Qt9F2OvU9wtBDSxu1vvWz+tRuCGEOBgLCZEiTzsyzHkn2+i8mYLQarzDNrpqjoSwpfD3fj0HifFPZxt+At4EHCj6OqAzd3FgXsNudwepSNrhtobAyZwbFcrvmqvVnLV+Q09ii5WI0AEDA+AVBEr09lEoUAbukLMUBHuG2GMxvuMBfaEwZJpN7exWaDEIYfhcRumpgJUFevEy5drlNztUlFtC/lSN0plN6erl1Vb06/ho0fAyrau5WFaKJBdsaTylirws092xfPIbhyh8OIAB89WkZzbhDObRLefJG20A58zTt0f/r0PIwxN4+pMIszYovCJA6AAQ9KsYWtnl+qXRfbPWaoWh8ijfCxd7OOEgKlN9c1yfl7/TItUvwtDQz04OGSYBYYKmZ1dpFdML4t0IRIJ85j/VmhTl87ksb4Ww88/z+LFL6+4+HcID++ViuLERerQC3wKfb3XCFgR0MTOioY+1ghoBFpAQA3ilgFcDjOcuO7nYF/ahf/tW/Rvb9O8Pk/vgH50+3ow0zGAaFcRrvYURXJOhKlO8/BxCYFQFwaGx2mzFMf0VAeG6YI7KA4nOJmonSRY6muhlTqJRuDqCAgJo0TCXoLfZ8PAgBC5CieddEBhZ6y6yQAG+kEVMUriXHTb7j5gKIQDjIx2UuIcRmfXIPb23PzeOzA4yO85SNVixulqYVp+9SbrnL8ZBKyU5/oa1cLXY1RMJWLu3YwX50lSWrcWR46OUhLPV+Fa2UNfMg2/p4LQ1ACm/9CH6T9TFfNBDt5u2s35GJ6Dtm6jYz7YnUFEolGsbx6ht6fAxYwQIh1uhv0QpyzSN6unVOOBetLzCFeJwcZdGJ8cRDwRx3ff7WL92Tva0JE4koROTU2wjjDt+spGAPOnz2aZ5hn2dnc4LvTSPnsEHR1tVMOUulT9ql691whoBAQBTez0d6AR0Ai8JwKccBRIumL0AT9L19nP5+GfW8Dw/gG6OPg66FEtxAgHg8FjuANprgbTIYojxSDmTnST4IXCoHpPBwf6ELqjIQasJe/z5jl5UBIO6wDewuTmPZ9GZ9cImAgUKRNwUEpgQ3e3C057kN+mmxNeP7o6OXnm6BnbJ1mjK3iHM0ZVy21OSiPoHchzH8TRsZ2TWC5q9FB64uakmWEPqpNRrYKpv7LLINBav6dSORlKwJHi97Z6iAJt6dI/zaI8v47IURZhvxee3nZ0fRnF4L92oO0JHZd078DmZT/rJBFks4LhACb8PkqfgYODNgQCJfT0e7ngxu/esK+TRbbLLrSZ/bib9nrdXPAYGR2kmucG4keMb7q2i0zmGd7NrSLgp0Mi2tYdHB5jY30LsVicCyNtuHdvCp/cn6T6c4iLftJK67hwGSx1Wo3A7UZAE7vb/X7102kEbgABGdBlYOVPDvMcYI9pXLewh8I/XiP9/TuUVzbRFs8gyrUjHwdhb6DIkAacaHCCC4cMyFlDkcbOpVe7nxKRISd6Cm5KREjqPBKknOXVudPmBb1pBH5lBMyJrpMjZSRKDeKQx5hPOh1ZxrDzwcbrNhsJoC1FgpekNOOIziWKlNQB7WE/r8s3zcDODiF19O9HFTNm+JWfQVf3oRGQHu9yb12lbp7TSMHbKoWDn5ab6pduLrK5qcbo2owj8XIeh/98jaO5deSPk/AyxEDXQCcGv5xE8I+TcH4SBKIUlQXEqY+gJB06+2R+r172wz19FUQ63ZSQldgvU+pspFELbpLe3FQb1Lns5Zps6knMsiVQAdvHkDbDw/34wx++pvplxLCfe/N6FrGDI6o1Z+mwxcawN9TqaA9jZGQAjx5O4skXMxgc7mP4EHGyIiWrGuRYbxoBjYBCQBM7hYTeawQ0AicI1KvWyGDfYJPxXezqDkjC5neR/3keiZ8XkJqnfd0eY9bJAG5z0eCerq2jAbiDnBS7agdjkVvIZMFP99egtzVR8lFqPtUJQYO6L7ikanmfMi6oQt++QwiIPZGbsbfcTn7VFYZ5piZaXtYejMml/PvgF3cSysDOhQuRSrjpJMKY1pL4mW7hT/4diXtE/WESE71djMAFHwpvG+EMWJCLUq5gjuqXCdqg0TYt+XoFe89ncbC4itzBMWxBF9qGOtH5ZBSB35HUfdpLVQmqUvjle7T28XLMBQ17nt+wkxJr9s3GMpwsTsi3XL9J+voxo5pG+uLqU5j1iN+TtrYApqaH4fF5SCKdlNS5aa+6jVRKgqFTsYPS7v7BHkrpZvDJJxNc/OuiJ01ZLJG7Uqq1zTzVm0ZAI2AgoImd/hA0AhqBCxBoYjMh4/wxB/oVGub/sIjUP94i9W4T2EnCz4lBhrftXEZ2dXpI7IKwC7FjcFm1ydCsVnHNCcNJQF1jwJa7ZgrrtMDIYvmjhnjLpZpDKUHS6E0jcFUEzK/QtLkz4ioKUTPUKhuVyMkmpXI2Y6Ksvj6ZgKpvuVEefU0jcHUEhOcIuXOW2Ncm6byKNnXpp0vYf/oSsfk1lPbjXDOzwd8XQfdXk4j8YRrO+xQp97E/pi8UU4NC6pdlNvlO1XcrHbwcq+9XjhtvhqOhU3JnEi5r36xKrOamqihX9EKUgI9P9FFduR1fffuQdnY5FIoMsVCxUfpNbQ+vhwuDfqqC+igJp+TQ6Mybt6Navj7SCNxdBDSxu7vvXj+5RuCKCHB05eowEhzAVw9QfrqM1A9zOH65zklFAj6SOnFabaztcsZhb3PC3klPa0HqWRpqmLXVmpMCmUKIcwlj5GYCGbzNCUJt6rNn1hxn7+orGoHrQUB9p6ImLBI8m2FrpMqW71VNONW3y+9XfZxGspP73KmUNbdVUXp/pxB4n29BnKTQlwkcVMH0ZNjjbh4i9WwR8aezSLyl+uX+IfxUd++hF8r2J1PwfzMFxyMafQ6Q1FFYB6f0sbX9rPlNykKGSJyF3KmtNp26Wt2fvS9lqeerpjOvyL8hBxf6gj43f2xPFw36jK1RLmspZ+uplq2PNAIaAU3s9DegEdAItI4AV1INxpbm4LoVBximIEubusTLVeSXGBeJN0nfDLcnJQ7cZdGzbKcra8anM4idRWInw3d1U4O1kuip82qKi44aTQcuyqPvawQuQqD2O+VCBb/rCiVyhkaY3LQmOJXUcSJqXK+5ycTquty23qtvhXUiW39Pn388CDR7x1d7v1KaEeiceyF1HnI5X64ENx2l2HcYM/TVMvaevcbxOy62HR8zMgEd+FBS10ZJXfCPj2ATUtfHcAUB9rPGIlttO2pbq6TU74d2bZn1ZUk/f36K+hz6XCOgETgfAU3szsdH39UI3EEEZLBVBEseX5EsDsA5/mRleIfeLd/Qk9mPtKt7uojKu0NK6oogheM6r43rvJTYMWmRE4hSG51MCLGj0buxCCyT2wabObyruhokaOGSlGEt3SyzhYw6iUbgQgTk2zT8rHN/8pXJzvrBSRk1kjy5YN3ML1J/l1ZMbutx9S1Xj84+63n3zqY2aZCoTAov8zKkgT/BJTSqwydfzmH3F9rULXCRLXaECoVg4fFuRL+YpqTuHmyPaVPXLzHq2LcLKzzz4UptZmvqP+lm7Wh0vdVrzeq4LB6t1qfTaQTuCgKa2N2VN62fUyNwKQQaECxZwM3yzz49przbRv7pApK/cBLxOkatnhydpdArGycGMjDLoF1kPKRKyIlKmCvEjD0EqtycuFXj3Zvb9MTg5rDVJTf4d9EqKCLtlq0Z8ZP7ze6ZOfXfjxIB1SNervHm13LyzViz8huRz8TOWG/ONJ2cbByi+HIF8R/f4nBuBcX9IwTY9wZ7I4g8nkDHH+9T/XIA6KXupUjq3MysvzMrovpYI3CrENDE7la9Tv0wGoHrRsAysZCwBgd0Rb24z7hI84j98ArFhR0ESeqCsoJ8Qupk6mt4t7TTbXabF85OWuh3cKWYXs9MYie076LNKjGUtO8xob6oKn1fI9AyAvXfZcsZdcIPjoClLzttSyt9kZm4UW5VTOulqBxX24uUTsziHHSU4s2Q2O3FkXq1RK2JWcQZp65ASZ0E7+4c7EL0y2l4v70Hx32SugGSuiC/XUPgfJnWqu/91+l/bYamyEV1SZsuSnM1fHUujcBtQEATu0u9xVY7OZVOCr8bHVD9UHHeIHgpyM8kvnvYnoHgRi6oN9jgzYn9fJH3D6iCuXSA0g8LSP9jjqo/G3DtpRmpTuYLtlMlNcO2jgO0w+6Gsz0AWwcnFSFK7ejS2rS+u5EH0IVqBH7bCFwkJbno/m/76X7jrWvQrxktluuq77vEI6gszYqtKUolrrl46ROpykWFCQlp4E6yU94+Ro4OUvZ/oaRufgnpg0OUvPQ0ORBB8LNx+P74CeyfDlL9kv2vn32v0iK+dM06g0ZAI/AxIaCJXdO3pTrjRj23IheNSJu6pwpW543SqjQf914hZX0KuVZFzpqietWavrVjhaVKLecK1/PqsN6TvO/TBlX3bdgr/Ewn1yYyVqyIk6hfFniNsZGwfowiPWAe/+cr5J+vIbCXhYeTInGWUusIgvnoNMUeccEdCZDckdSJXYcsN9e/wqYwqvfaNIG+oRH4AAjIPwi93WkErF2kHN/QcGIWXa1A/PK4qDXhiRfh2KCjlBdLiD1/g9g7qsPvUFLHsTDU14GBb2fQ/rv7sD/so6MU0ZQgozud6ZmNNzQqziG08khmysb98Ps9spm7Wof1a2pcnzVFdcyvvarPNAIaAROB03/uGpCLEGh5RnpRQfq+RuA3hIA5fJsNqk4iThsopI4qP9hkrDq60U798x0yrzfg2UswBFLJsKtzcmZj/dchNFHMhRyMW+cOM35dmCvGHrnAsvSq8Sm0+uAuINDg35Tx2HJdNnOSax6rv+qeOtf7a0PgIjvHuoqsb896LMnUm2v+tqo5qkd1FbRwamNoGRHmigqmM5dHeYs2dS+WDfXL49kV5HZjCPB+uK8TbQ/HEKKjFOdnon4ppI49s8RDqJMGq7afV30rac7L38q9X6OOVtqh02gEbhMCmtjdprepn0UjcCkEZHVUhlZZv5WtbpgV9cs0f1sJFH/ZxMFfXiH5bAmezQS9X5boBdNMbyV1RjG8bqMveGfQC2+0rUrsdG9jwqP/3jEE+G+o6XbevaaZ9I0PhIC8rbpe8oKWWN+vNaf12JqmtjgjpAGFxCKpc2eLcO0mkX6zgkMGHxdSl4odokzi5o2GaVPHOHV/uA/bA5K6fgkvw1U0WUxruDW73jCxvqgR0Ah8RAjoqVbLL0smwdYprJy3ul0mbatlXjWd9RmkjN9S2y56Jus7uGq7rQPqRfXdxfvER1a1BV6R1G2kUPmRq8J/eYPM01WU3onKT4GaPSaO9V+TICZThgrj1XlpVycxlFxRSuyUi+2mbrYlp940AhoBjcANIlAnubqopoajhVxkJ3cZalSrql5f60mBJ5etdTrLNvgKZfhStG/eOqK2BEkdber25leQ2Y+hwhlc+1AnvV+Ow2OENBiipI7Oqny8YfS1UqhV1b6+bn2uEdAI3DYENLFr+kat3Wt9ovNIhdyzTnfPS1tf7oc4l7bedBvPw/Kyz9ysrefVcd69y9Z/G9Nb8eGxQJzlnxjDGsxtIfvdLDJ/m4Pn7RFt6oqGpE40Ks2vvPH0xmZzwtHuh6s/CkQ50fAwtVbDvI0fj34mjcBHgID0U9Z+7upNNkq6ZFGSvHFPeX477FTDdJHUObaTyL/awNHPszh8u4Ti7jF8lOT5+sLoeTKByL8+gvNBPyV17GuDnNYZIQ2k7CqpM8+uC4Xz263vagQ0Ah8OAU3sLoV9M1JRX0ir6erz6fPmCNQPi5ccWZsXrO9YEeAKMfK8cJRH6e0mcj+8RerZMvD2gCENsiRzFUNaZ126UNnlqzd/LENCHQTpNEVCHUTExo45jEz171Hl1nuNgEZAI3CTCLxf36NyX5aknaZXBQjBbCY5rFSMbtJBrQkHO1N/rgQ7QxpkXi0j+dNbql8uIbW9D3e5hO4BSuqeTCFAZymOT0nqhhkrNMApnTGrqyV0ahlOemhphrRJbxoBjcDtREATu7r3qvrej7vjq5923yzRPB24arC0tuGi+i9Kq95KTQX65D0RqA7wJ1+7qGBmefWAHjAXDkjqFnH0z3kUVvcppcvQUUqZkw5RKjr7PuQNi7/AMu8aqWxuOk8hoWsjufOym6GXTL1pBDQCGoGPFYGr9mBmb1ntbc+T3clI6C5S9ZKLax4GHxdSl3+zhv1nlNTNLiKxF0PRRe+XXRG0MaRB8A8MafCY6pd9YlPnukAr4qJx+GN9M7rdGgGNgBUBTeysaFiOrd2w5fJ7HlonxFcdJq7SBBkumnXqza5frh55murTyfTfuomcx6yn9rqksZI6da7aVC2xWtrZEqr39FGrCJxBVkidMLMkbTkWD1D5YRm5fywh+3aLk4ukQeoEeSF1Qu2qb01KEjJnfmGkhKg4nHD3+OCijZ1NSJ1DvTP1XplIbxoBjYBG4C4ioLpD9eyU0hkbr8vI6WEXHEhweWzzGMlXi4i9mEVsdgXZ7Rj72RLCQx3o/WISwW9mYH8k3i9PSN1pp1wda6v9vO57Fdx6rxG47QhoYmd5w9VO0LxoTlktCa718GZLb97Um+vg68cr1QYrruq4WVqVp/H+arkal6WvVhEgrrTlgAS93YqjQlfaRQYgx8t1uDYSjFNXpG2dScFNUqfeYrUEORJSV+TExGF3wRMOwCPx69w0rDNe2819d7Wt0GcaAY2ARuA3iMA5w5e6ZefimoOSOmwdo/BqleqXlNS9WURu5xA+9tFB2tRFGNIg8vt7cHwxDPSK+iUldYZN3dl+Wcqtv6rq+g0ipJukEdAIXAMCmthdA4i6CI3AR48APa9V4jTQX1xH6sUCEpxMuFYPSerKBqkTvyfn+T4pcTN8H3kAAEAASURBVPogAj8xz/OQ2LkiIdhCjKPkOi/XR4+afgCNgEbg1iPQjArVU6YGQKgkRhHmSbU080ikdK4SnaTw586W4NlPIjO7jPjPr6l+uYTM7gEX3kpoZ5y63i/vwUubOkNSJ45SQhTTiTHeOVu1Pmui87RorOn0sUZAI/CxIaCJneWNSQeo+mG53LhDtGR4r8PLln6qZ3FS6/md+Xs17TeZ+bJ4tf4Q1ncuuW6uptbb9Oul5NPKp0S7jsxhHDsrWzhcX0fuIIYwnaW085bYzZmm+PXI1J6LxC7Lz9TZ6YGtm5MOcZziYhdT/+n+eg+na9IIaAQ0AjeEgPR/9aNHq1UxL7NKCS6uiAVzDGuQzKOyfYzcuzXEGNLgYG4Z6d19FN00VSapC37KkAa/uwf7kyHT+6Wfi2bGulltP2x26Be3431af3HpOoVGQCPwoRDQxK4J8rUOIuo7ziaZLrx8XeVIRTJbbpXctZruvAeoH8DOexaprzqbFwssa+7anLVpa5+pNuV5rbvqPWu7VBly7eZrVrV9mL08n/ns5pNWOLko0K12OkGpXYHutZ0Sqc5uvDlrumprqwjJfXmLBZaY52svt1NxszcCWydpoUd3MVXM9JFGQCNwpxCodpO1j212qkYn7OSKmCeVh307hezLVRyIpO4d1S83D+DiglvbQAQ9X04j8geqXz4kqRvkgpmENHBJIY0qaGVuYM4JGuWubag+0whoBD42BPSsq+6NNe7omnWgdZl/M6dmp/1hm1Pbhsa4qhbWplVXG+3N8bA6cJ1fbqMS9DWFwCl2DHFgszngC7ejb2wU0WPGoLNF4HBsobx6xKkD49mRtInkrkrXVSnVfY6HOZsN+XbafPSS1HXS/sPNY71pBDQCGoHfCAKKU532f+e0qzryM/XpiSrhnIx1t8y6qjXKkWhQOvnz5IqU1B0h+2IViaevEX+9iPTOHjz5CnqGogh9Ngk/beqcX46YjlJOQxpUy6urTp9qBDQCdxgBTeyavnxrpykduerMrdebZv6AN1Q7VROuq72XKcfahsvkU20+u5foPuKPscSflK48M5peGk1ieD01na371l8R4OjkxN3bgY4nDFEQ7GMApXWU088R382gkqWKkGFBV0VCUXFF9CjwM6R2eQlrEKTEroOkrt3LWQtv6BdTBU4faQQ0Ah8Ugct0R2bay+S4+NEkhJ2bni+9/HnSBbh3k/Q+vI6D529w9GoBx7EDlOxltA+HEfp8AqHf3YftwQgXy1oJaXBx/TqFRkAjcLsRuGPETk1DrS+1qibYWvdt0gprCR/mWE2t36f2WjzkyWpVIevDFlylzvfHS0idSIsK3OfkmO6hHbzi5ghpyoOszyEpW98krfnc1TyXyV/N9bEdWTBzEAE5tRHNbv6y/O3kUAl5GTOJXwRj2wk/U5uQOPVW5YsQvORfUdnGQtrdqIgqZoSkLsS9ndfuBqAKHr3XCGgEPhIEVN9/YRelEl7Dc9lZlrtYgT9TgXMzgeybZRw+n8X+W7GpO0CZrjHbRqKIMk6d99t7sD2i+uUQSZ14vzzttq1j8enFk9ZZ711Dg3URGgGNwEeFwB0jdvJu6rvwVjpFyXONPfuVPhHVWde397zC6p/1vLTqnpSv6lLX1P68e5JGtU2m/mprtQ1WfM/mKVBidFjKYS+RQjyZpnlBBd1tAXQGg/A5HCR6qm5Vb+v7s7W1nvfWpBQQRC9I/G3bqBpErHPFPMPa5QwSzcAFxiZfhkhOZROpqXwr8raFTtscdrgjHtgZ6sAeIKmTUAcyi/ng/3bYBL1pBDQCGoEbQeD8scuo0ugGzXTSxbpyBTj20ii+EfXLtziiF+L8VoyBySsIDDGkAR2lRP70CZyfDTH4+IlNXZOQBs3H6xt5WF2oRkAj8BtH4M4QO4b7RIFkIF8xJ6Lme7F2yCblM1T8OF910laI62PMZU5eJb2azpp5r/+vao1ZT/10WFQR5Zrpn5CekY3NwXZKG8VByU20T7VJKlPtMmuu/hVX9/SWT0kadUu4udgmp6jkcZP8QgYkvlmF+Av9cvKW3TiSO2YaeZ5SWeQ+lMZR8uOwC1lTT1RBrlTE1s42nr1bwsLSsuEa+smDGXw6PYGuSAf8TC95m7XRqEj/OR8B0RHiOwBVgSqb28geHaGUKfE9yFsUNVh5jxXjXTptbr5Hu3Ger2QR53GWEjpHVwjubq4ut9GVm5P5dLSD8zHXdzUCGoEPhkBr44XZ/5mNlOMGm7p8psCTMYz3nRz/nJTUeXIluGJUv3y3jqOfXhohDQ639+EsFdAx2IFO2tR5v56B88GA6SglxGlaCzO1pk1o0Fx9SSOgEbi9CLTQXdyGh+ekk/RimS7c57Z2kaDXv9ON/a50vfJzkIx4vR5E/F70htrR3R6CnwTEaZAQ6TbriUMzCZZVemSSl9P6jLLMM3FH0WhTHbS6p+zLxNIpS/eFR4kEjo8TcLhc6It2os3pNebPpsKiynXde/P5a0s1vSYepZNY3NjCzsER7JTa9HZGMN7fjzaPj3HNykiy3QfZNA4Pk/DYyhiMRBHxeIm5aSGXLOWxtraO7d09huspoyMcxvBgP73lh0/QYt0cFCuFAoqpFA7W95FLp+BzOhDku/KzLE+w/YRDVOPzqLaaQ6s60/umCAi7jmdRWd5F4c0KbJtH/PYZV4kZ5IsWUpfgO8tTvTIUbYe7r4MCvjK9acYp2csgE3VxtZlOV/raYAuQ0ZHbqU190/pdKET0XiOgEfhoEJBFr0tvZm8nWWWNK8Agnx4GH3fsxZFf2MLRi3nsvp5HgiENSkzg7w3D/2AMvn+5D8ejQTpKoQOqIJeXT2dpV2nDpRutM2gENAIfOQKnXcZH/hwXNj9dLOKH2Xf4f/7ze+xSna90IlGSnRAMCpnoBdCBMMnceF8PvpiZwJOxEfS1s7PltNYUPNR3rI2ImZXUSbOs5O+8e9ZHOBkQOJGWGoVOUnEDaUpGNmIxzC+tYnFpDUG29XdffwlPJABaNJ2QoEZtspZtPZa01TbVhyUQWVvVD2L12eVIMJONfAvbB3H8x9+e4uXcPMOWOfDk0T10BEMIdfmQYZrV+DFer29iYX4JEZLRf3vyGG29/RyvTGcoR3Sx//2zV3j68wvkcnlMTI3hf/vzHxEguRb6JxJJL93vD3b1IDdDIpHNYW11g+Q2TkK4gZGBAUSCYQOrs+TbaKb+0xQBvkB5oWX+4aQDB0nklraRYiyl8nocIX4D8p7k+5d3meE/lHzEj+AXQ3A+oaqQk9/P7jYN/pnHVYRzogv2fk5IQicTEi2xa4q8vqER0AjcBgSMScS5D8KuEZ5sGZ5YBrm5bRzRpi72ch6ZzRgcpRKCDA/T/xVDGnwzY5I6qmOiRlIn46055po6MGerU3fP3tFXNAIagbuEwB0hdnTYTsnCysEhXi6uGUQEZHQ2YSXchNRJp+l02BAI+rG3wxW0fN5YZXOO20juIpRaCLkTCZOZx8whZydlyAVjkytWsmSeC2mSzZrazC20Ra7Wd8tC5+SaSX7y3MfSefz8dhE///wSaxsbGBwdwfSDRxiKOAw1OZGfyTy6UWm8fHLdlJLJuWxme6QuabOp7ilXlWzSTC3tUM9klq7qMFrpccEVCcLV1UEVTOJEUld2u9kmB47zWTxfWMZfnr7Cyso6xrs68XBmhkTVfF5JU3QyfzvJaUcYznwBnvZ2VOgmv8g6Rf1P2uDkf+3+EMaG+cnyPXVGO3AUJ/Hg3sa04liFypxMJa0X5Mwn46lxVI+uXL/bm4XUiwA7z/NYCpWVGPKU2OV24vBRzu0leoKsoCm4llw+uCb5nh8Pwva7KS5De+A+6kZ0rxtuLjz4utrgGe6CjU5UjI+RL0S+Jr1pBDQCGoGPEwE12tW3vnm/pgR8sndUaNZR4NgUS6M0v4n0L5TSvVxAamUb3mwJ7SR17ffH0P4V1S+/Gqb6JUmdOEoxbOqkzmb117dHn2sENAIaAYuQ/7aDIdNYmb9KEOUSCZCd0jm3m5NSSoLEKaBYd5VI9DIkdBskdh6qpXkpxehqa2c4rg7D41+xkkM2TYNn2nuJjZjP74NfSIlxJoqVFSSpKhlPZ5ClrZKbM+KQx8NYokJL7GC3jngmT8GItIAreC5pg8tQPyyw4y+XSWPYBjvtlbxuJ1UNnVRddFCdsYIYHVm83d7F3395hR+pl59lO8ts2/LRIcKRCNpYYoTBoAPMY7ZHAgNYNzvLKSFRLCBJw+086xFbNjcJmJ2jT1HUU0l+bWS5Ho/bkLwJHjlKOgu8VykzaLWk5/N6mcfHdMwJjlkIdERw7+snCH0yBRsJ8yCJmZ3SxBhVLBeo+vrDszf4508vkEqlDQnP8vERupJxeFmey0eZXMCP8UefINQdJRZ0rBhu42DXwydyGO9LBjZpe5rtSdJG0sXn7ab6ZZiYuLxepOikI0ZVwBClhT4+tRBw0z5PqEjzwdeKzt08lq+QL1BUMNP8bR4jN7uO/NoubHtZfrNCqM1phaQsyL+ZvgACE33wTvcAw7SlC/mJtQ/hfBfCfDd8qbD5SerEeQrnJpJbvkP9FgQLvWkENAIfJwKX68GE0Lk5f3BxPHOTvHkOMygvbyHx4h1ir+ZxuMHFs0IeYapbdj+egP+b+7Ar9csQl2eNvlOQUvVKD6wWV00EzTtm/2ouf5rXa8d985r+qxHQCNwdBGTedsu22s6vVm1BdZIM0+XzY2Z6FGMDPXSbb0eKhOeAKoEbK5uIs9Pd3tzFUjCA3UcJxCskIERpmQ4lXrx4iaPYMfxBHx7Reccn4xNot7s4AS4hw4ntO6b5+5u32D2Ko93no0rnOL4Yo9tiOvdYPYzh7+zYl/b2DSlTT183ers7kIynsb+7i2RKAkFzrkyyM0jp1/TQAHpJmoTQ/LS0hP/5w1P8+HYJWyy7TFs1x/Ye/tvff8CbuTl6qXfj8fQYHk9MIuyQ9pghAYwC+UekJkmStB/nF/D03TLi9HYYCIXQ39NtkLkD1p9PZeD3+zE0PICu3i4kMlnisI39vQNkMil4XR7093VheniQi4oRRBxuTuodSGYyWFjfwlvaCtgoscuODCDAZzjc3MFf2ObnL2ext3eIfLGMNRqJ/3/fU22T6qTtJGfT98cxRHu8NZLp+blFlJmmt7+Haqbt/AUNUpAjtgf5DOY2tzC3sYeDFNUFKdkrc+AUO8NwwIvRzk5M9nejn2Q3xHa5mdPUAlQDn0JC72sQkPlCjlOBwxKKK0dIvVpDauOI+BnubkiuTVmzSIxLdi40UM0y9GAY7qleBiCnArDhgpvKmjbGv5MVElmykH+ClKqaHjFratMnGgGNgEbg1iMgY4+nQLu5NFXZ95MoUb396MWcoX55vL6NfI7aEN0BRJ6Mw0P1S7t4v6R9MoLidErgqc5VTLCs8xo5lo5bNlm6vNwYZy1Zk0ATRf1XI3CbELhlxM7a+anXdPaadGYhBlH+5vMH+D+/+IJzUyd2qDL4lg5A/uM//oHXJExp2uEdHCVwlCsydpqLErgKXm9u4P/9n3/DxuoWOkm8CpRcDQ6OwucVdcqyIaWblTR/+R6Lq9vo6qTkitVPDgzC5QlgPXaI//b9T3g+t4QKCcnwxBBGR4dxTMK3trhOgkdVOJLM9qAXM2PDSGSz+GxqEjmXHT++msN3/3iKzf0jFEWNlLPnjf0Yjr/7UYQk6G0LcSpeoNOREQQoSZQUJrExhwjp+g9I1H54TTvD//U9te5SaCNpHJ0cofoksLWwjnQyxbr9uP/oAUbujSFG74hzc8vYXF5Dlnj4SFTHmf6IdnCVqQkEOqPwkPRuU8X1739/yrLfMhSaCwffPEaQpHjx3SL+8+8/kczFDGxE/XXnMI7j75/TE74NEbb5j/SkWfb68POL1/j+f/wNGUoT7z+cQSTaTRXYPmJPKWc2hVna1P3t5Wv8PLuIbWIgtnglivdEutgZacP90SGk7k/DPjEOXydVBfmf6c1RfQd63xABmR+Ibd1OAsX5fcQXd1Cgcb+HuJuqx9TS5LcjCpkON53UDHTCOU1vbaOdFK3yCzNCJLAM+Udl/FPjgRzLz9iq04jTS+qW3msENAIagY8dAeniVOfGYzm0i7SO3i+F1JXnthB/TlJHSV1ydQeORAbhTj867g+j488P4JI4dYMkdWFRv5Syqn2mCc3ZOYx5Xf01K1dNUFcb7etLbpRGX9MIaAQ+bgRuGbFr8WVQAuaiWlk0FMBoRyeCdN3uqaRxQE+Lfh9lPVQzFJXAYrFkhkjgjFVc+gvJ240nsUtyUiKBOczkDA02kWpIhymBs+MkJlskhLv0WlmhamCMjj6KvC6KkeKNczeZNGz8KqxfJHw7JE8FSuoSlMJlqaYpBOzo2M0VPUpMqJ7pcroRHerHUTaDo2QGBRIaenkx1usq+SJVOwuclxfh4kBynMqhQLU6Uwmz2s3LkbSxRFXLfZLFHbbt8Jjx4FhHgp4mZW6ePjxmOzI4pCQyTTXQFbq6T9Dpye7mPhKHR8inSW/ddNHMFjp4P0KJ3BA9UbqoSppjOw6YNkbCZaM66AExylDdNJ5J0w4uhRSla9TBpMSHqpt8plQ+hTRVVQWvI5ab5v0jxqbbjbEe4ndwfGwQPJEZpakCukrC/cPTX/D09SIWKbWL09awIGUK6sQ4zjoKHCypR0tPnC6+V3psJOmWlcyLhsQWv5hbmoxfhsSpoG0dZjdQebMJ2wa9rSZz5qIxnzrHH784vj4fAqMdcI/0wDbQYQYg9zP/6SSkOmWoHpmwyfcnP71pBDQCGoGPEwH2aqpj4/ygukkfKN2gedPB7lTCGnhzNBk4SCHPkAbJZ0LqFnC8tgOqt3AhMojO+6MIfDEFl0jqRmhT10ZS55JyZaWt+Sa1qNqrjs1UHjXaqfPaclTza6/qM42ARuC2IXAHiJ10ckp2pV4fnamQjCxv7eH7hQX4SdL2CxnMb22TVCRIjJjD44DX56E3RuXchOWwQ68YPyZg70phVc0mHad5X2zPpLc3z1UisUcTiVyFIQEkplvmOAk7iUyQNklR2o3l28tIp7N05Z/BPoOVzpP4DVG9MDTYiy7an/UMdBskMUMSJF4MPSEfIrRla3M40c3jfjof8TNInIsjUL20ilVzyGC9Qq6kbWy72PSVEmmSWT4nnZckSL7SJHdbXFU8OkqZcXeYpoN1ZLxu2sjlsE/yNT+/ivsDvchR7RNunznenTyvkGI7H9TLegb4TINUNxVp52E2b2jmeRieQNrsJ/EK0z6rl85PPCSHxsa88p/gLO1jS2nbR0ko21ikxDDAy32UMtJRKQpURc2TxGZo85gnqdum+myA+e5RcvfZJGm421QhrH/z6l1Y9/UDHqu5AxsBlgfP8g8ldGVOQArzW7DvpPjtcFLC9yC3ZakhTVy9ES+CU/RkOtELW5jhyolvldRV4arHsnpHH2kENAIagduEgHWkoM05F059NFX3MPank+NneXELx5TS7VPb5nhtmzZ1OQR7aKM8PYTQt/fg/GKMkjoukrVxGmaQulaxaUzcWs2t02kENAK3G4FbRuykw7OyLXFnYm6yl27Y6Ir5J0EC890/n2NhccUIpp2ldC5J6VFsL0YyQYFERxv6aP8WJhHxUiohdm4Xbafln5fQaIBJWnyULg10hnF/ehx9I0M4ooRrYWkdCxwI0qJmeeigxCsJNz0Rfv74U+RIkP76v77D8iuqcpJ+DnZF8c0fP8cMwwBEqE46wzANnVRNdBryubPtNZA5uSwELEDHIxOjg7Tl64OHx+8YOuDVyzlKxNJUIbWhn4RyfKAPbbR1W9s/xPMXb3BwQPVUShePKWUssT1nNl4Te8MInayM37+PCqWJ+b/+hDgDi5eIcTdVWH//7ef4hG31U7Wzd2jAfEfE11qakDrx8umndHJymKqsbPyDB1kc8eVkeSdJwhejbd+7+UW8++kV8lQHlXYlc3QnzbJEQtnKZq1TpZdrreVWOT62/cnT0QaEolWU6QEzRW9t+bUYPLTDlPAG0jHIv6Ycj5P8tuxDQVTu9cFGxyloI7ETG7qaN1Z/9rFhoturEdAIaASaIcD+rmZQqDkxFi3FUYqPNnXufUrquEh2JI5S6P0ywYXSEjV3/LSp6344gvBX9+D4fBQYozq72Cgr2+RmVRs9sTmvqa21nuDVn9cWKHmt411tWbVp9ZlGQCPw8SJwy4idvIhzOreydGXmL0sJ0sryBtaXN0/fnnh0dFK1L9zup63aIGZmRtBD+y0HpUNCMqRbtHaM1uPTQs45kPTyM1pAqV2UEraH9yfxp68fY3hs3FCTDPifI7a8jswOPVKSaKYoWXTZXFTBH0DxkwIWfnmN7fK8ET+uuyOIf2G4g2/GJxlvjLFw2Peb1nUltldttd33KQJsSCDgw4PJMfzrZw8oePOiTInd7PwKypSOOUn8hunU5F/ZtmgkjH/SLvDdwirKe7Rvo5plgQRA1FPrRjsOcCR2JF1hmxMPGKtOqPVTljm7sIIKiV0HSeLv78/g32bukazZkLO7sbC/c6rKctpqEkSRGbnpFXSI6rI9DFqeoPTwmOR3jyqkOySfK4zpt7NF9/t82BydrhR5P1Okh08WIuqo0jq9NUFAPGGmOBPZPUZ5ZQ9Zkjrspvn9mCEjRNIpyq5FOv2xRxnJcYRhJWZI6mhjZ8RX4oek8K39wprUpy9rBDQCGoFbgYB0fqrXM3tBGW/defadVL8sLWwbIQ2OGYA8zZAG7kSOWipBhCYHSepm4Pt2DBinpC5Mz8HVALQXIHPOvOaCnNbbqtXWa/pYI6ARuF0I3EJiV/uCGndkVPhjf2ynuqBIpuTYIaSOtmNtdLU/SvXBL+i6/wm9Xg5SVVA8LFL50bJJqaLSKJNbU7aklB9b8k/F+oRAdlO98vOH9/BwaARtgTCCvjI2oyLJYocvtnIMnVAmSZK6PJSh+Ont0XTnLyqKVMVku4JkNSG7l8SuwHsq8pulqU0Oydvokd6D4YEu3B8cQpEX2kj0nJSQyYzdTpLX0xPGJ3Tu0u4LYHl3Dy6GZ+AtwxulhEIwn9VQnjytRZBx8J6D7Q5QqU/CL0hsOxn45J6boIV4rYM/uSqKf40+QqlHfpJL8gkK6UQCO5SortLD5golmssHJHYk53k6hRE8ilSFKVKi16q0Tkq/exvRLPEnDlgP6IL77RYycwxxQCN/LxUvPSdvVbAXYmenJ9S2sSjaaOjvGBbbOn6b4m1HXsrpJm+3fuIhKszyDuuvn2bSBxoBjcCdRaCmA7GgYPb6cqFZCrlXTSVnZ7f3yXu2NOuVk5K5s7MRTq6NiY26h6TOc5RBaXEbiedvDUndwdoWilyA7OwMoPfeCIJfM/j4kzFK6rqAKPvRU3V2eRop1/pU0qfKpvtPEwf9VyOgEWgVgUZz6lbzflTpTrrjkzbTuJnkaYiqhv0kbj6xo2MCJ23VxJ5stLcbDydGcK9/ACFObI0JLgmDdOTGxr0cGvZy7JBFPmZIN3hNpEXNRqRqG0h8SHba6RVyZLAf3XTtLz4cS6SQQap+ukj6hGwadZAknXbuxrFJp+SqoTNq9PtiFWiklqt1m5Hy5JopxVJXHJQahnwhdAaCSNGJipttUpudmARJ6LoCtIcjoXQxhIJdQOKm8qu0tc8raSxkz2jzaUrzoNG1uiRltkXi2IlXzKMCwy5s7+A1pX7LGzuI03FKntVU+E6EiBoUQso0/z9pX/VZ6oq+8LT6ni5M+gES1D/XFQZ++UjTjE24lUTy5ToO39JxCh0C+U4mEfI1SalFvgNbBxcNxhm+4sEQ7AOMWxckOoZJ5JmvoAYLE0NNsWtA0ScagTuPwBV7V9XdXDb7VfNd8J5kJBVHKT4O/D46MHNQUldeom26hDQQRykrG7TjZ0gD2tT5pobg/Xoaji/HgSlqPLBPNUmdtRLVULlW38db0+ljjYBGQCNwPgJ3htjVwEASEKJ06vdff4p//+wxvbbTqojXKLRjWAI3QnTsEWGcuxCdqohUSbpckVXJmGKMKyQ4ZTKvEqVSOZKLnJHCDP6dpvTIlLLV1Fg9kcL4k3IkQHmIQdKDnCnLXFvqEMcVin6ZdTUgUtXSTo7MQcH8a72pBghz8m/8lUItCelrhWqX/PGiBCqv1k2VSlFBpYRNsoj7ZtlfxybtEPJgynSM0s8UK00Ur5gpvpc1qlw+ZSiFn56+xCYdfUQHuzA0OW7Y69n4nnbWNvke5LHUg7XeUkmpckkjWs8pqX8Lm7xj8/1WW1P73qvXeSQPSzfcEreutHKIpHhtW96FL57nt2feltJU3DpHNAT3RA/sUwxI3sVYdaI65KwiZuJl1l+LZX2bmE9vGgGNgEbgsghUuxuzg2q1k75qvnPbJ4WyAdwJsfPQVMJ9QOdeCzuGpO7g5TxSDERuj2fRHvWh45NhdH07A7fY1In6JZ1QUS2CRVgbpypU/bY6132oQkLvNQIagdYRuKPEjvNTqgKOdnTgy6EhdDHwspAC1dVK9yo/ITlCQArcy1giE19FRqj1RwciGZolSSByN+z5NObW1rBOyVI2Lw7iL9oYZ44E0cOfCECkdiF2dpZLPnVmk/rlV+36pW0VhmMocRJeZhsZGkHyn6SzplTH1bwnxfOB5RmtP3PkPLlv1Cf3hWzyJwAZIKnWVNOdd2RNLeqr4rOjwIMKCzTt4c7mNmtlsHMS51UGi3/26i3e0MavwCfsCo2jY6QfAQkgT8+mDlEfVZtUdsntClkuWcNNJ5c3qz6aM2+5tnKRbGaYdusQmKf77dUjesVMk9ibdpnyegt82/LN+NxBOk1h3LpRqg71hSitY3chH6sBmPlvorbwk1v1F/W5RkAjoBGoR0AGA9kakhzzljnemMeqnzaGoJPbTXeWRKf55Jo6aZrx/BvSVFkEdrDtbobucRymDfXLNO3pDugo5VhI3XEaHW1BtE8NIvj5NLxfjgLTlNSJGrt4v7QMV81rU/158xT6jkZAI6ARaITAnSR20rfLTxx9uEkcXMakWHnQNKmbCZZck0DfJulyk4Q5xWaMkjZxILK1t48X8wvIZGgwnUriJb1Gvp1bNeLRGbqdjRBvcE2m4qalnnnTHHuqI5PZXvE2SXLFNkjZJToVSdIBzCptzbrD27RZc6CHBLONHjRJM/lf480su/aeWf7ZMc8YxJhUyqrNJ22z/qrlqVarvTRXNDyp9WlsabZZAqu/2d9G0OODg7EEhTyr9NWS5Igqroyztk9burWVLRzEGDibDmcqXg89hNqQOTiil85DFKlGqhoow2GRDRdLO9VCIa61W+3T1N67LWf1E4OTZxad4SNGp1vahY32dY4tqmBSgie2dfLlS9y6NI9tLjfaORnxzgzD3helw5QTm5AzWN4WvPRzaAQ0ArcTAdXf148DLTytZDnJLqYYbnarLjrockufecSekuqXCapexqiCKTZ1mVwKbZ0+tE0PIvLtfTgkpMEYJXWG+iUHQYPENmtHfZ/dQvt0Eo2ARkAjUIfAnSJ2EndOulQRWhibdNiqzzcOT9iHcdPsZOW2XHXzF5TA3G0BbNMOLstg4wuLVGNjkPKfQrQ9KuSxt7OPLZKNTM5UzjSKafmPaoxqUHUv9csin4Mx8HyM+ebx+pClW/+NnQP8j7/+HauLy5jq6mT8tjE8oCMWcQojKp1ipaZKMUugXFCevXrx5MRyQWHDO2c3A72zl01Ua68L1hzExC7PR9VWF9VabbRF2N3dx3//7nssr6yjn3H5pu9Nw0ZSKmTV0gpj/DOlhCRo4hRFYu7xeTJ0G/3uHQdSxtMrF/OIE/O0BG1nGSXxskmWmKUUU/iL9elrG1c9a/a41rZUU/8WjuS7tH6n0ibrhMB6rNrLp5EHlVtZAkR7kMLcBnKza7CvJOnkRhzxCK0zXZ1kxKFQB1WSp/tg/3SEnjDbiW99nars6v7jw7Ladn2kEdAI/MoIGCTngjpVR8zOxehf1PkF2a7ttqU+aa6L6iZBajy4qH5ZWtqijTLj1P3COHUMU1RIpeElqQtPD8D/1STsIqkb56KYqF+KpO5cUndtLdYFaQQ0AnccgTtF7FQfLXt13Pj9WyfHprTOw+W6zmAbBgf7sMOA2VuxQ+ztHSBGIuemKqCTIikHSVeOdnclkhRRrWxaR7MZ8Em7jPbJQMafWQbbwEHBR2lhFyVWnd0RpPZpJsVg6r/QA9cOpVnH43SlTII53DsAD71dCimSqbhUpdqhnkrGF2OMsdzj4ckmBKt521V7TIZolmi0V3JbylWleYhNJz2NdrLdeUo5EwzK/vLlO2xs7WLsaBi2SDvDKtB+S0R7DTbBtY1OZqLdXdhn8PbDTB7rC+vYXtmEh6743QwkH2LMwSyJY4V1JdIJ7B8fYDDAgNoMuWCSIJEJ3qZNvcnLPBNfjhgi0vajsnWA7CJVhtf3uWAhkeo47zh556Lqmud35hpsQ2WSKphTDHEQoRqmGGLqTSOgEdAIvBcC7IOM7ZL9ySWTv1cT6zOfNFnCzbmofumMpVFe3EXmxQKdpdCmbmHDcJ4SCXvpQbgfHXSU4vtmDLZJkrpOkjovG294XlPPXl+BPtcIaAQ0AteHwJ0hdtKvytzUS7bjYnBlF4mEPLwiOCakjSfMIvlyU1rW39OBJw/vG8HK82+XsHd0jKJIi0g+goxT09nXRfs6kojlNTod5ADAPKK+KQOCkCwJ/CyUy0uJiPT1HurpO6lSqIiUWPrJBNtFmz8nwxh4Wa7kcbN+J63RwgzoPTU+hh3Wm3q7jNLhIcocaHK09UvGU5RccdJ+Io5sNIRIWV62x8P6MyRFcmyqoYrNAHFhe7yU9kl4Ag/bLhjJeCo/N9vl4UOI50zJL56aBVNRIRUjcolJJ8/l5M/FG3JNnjnANk8MDeLB/UOJ4IAYJXYltjnN4OJxkoxUNmvYCAr1kjarn9QpZYvq6yg9h3726B4Jh4N2jBuIJzJGSIVA0IOBoX709/Vif2sbGwx9EN85xDolmCOst4s2lDajFSzsrm9i9snguVg/QP7tOnKre4xJmOF7pZ2IgY3NsHcsy7vtpSfU0SjcYuzPoLpGgERjYnLXQdTPrxHQCFwPAtLTn79dnOL8/NW7Vy/JmDfIWMafN895wGEGxaVtJJ+9wyFVMA+peVJi3NdoO8ebmSH4GNLASe+XtuluOpsSRykcyYwO9uptqD6HPtIIaAQ0AhcjcGeInRCWMU70P50aw15XgpKtTgyG2w3ych5MpwSDB73tYXw2M06aRZJDqdh2jJNkut73UlrU1d2BgZFBQzVzjtKixFECPTSgHu+MkKAxmAHzd/n9eDg6QKZUpnqiB5OMlxd0m343hXS5bEWGFwgwdhylbvkcXF43Zga7EaEkyi8SOJ8D91lHqVhg/W6sMaabkKQ2IT/dnfRvESLpMm0Epd2yVfeU+NE2cLIrisfT44inM5ik9LE71EZyRy+VZL1D0QgeT9CLF6Vo/dF2BkUPw0dyKaSuu70Nj8ZHWAbt+IJ+jPd0we+SIA1ldPB5HwwPIp8rGKT0fl8/2gypIU2zKMW8z3s5qlIGmHdzc5vBxBnYgXZynSyjg9K4MnVkDScqJJLSYLEjtBMjKVsI5nB3D8qfFuBknkhbGw6SCYOkd7J9EwxLMUjit7W+gVli0uYPGKqFLtrdGaTdAEChYEByR/6oiQSfnZMSFLg/zCG/sI/kmzWkdo+4yCCom7JlSSLcr8Bv1dsXpn3dENzDEoycsxJ+GwbzZ9rzNkH5/BTn5db3NAIaAY3ANSFg6YxO+yS5dolNkru48Oqjnbcnw4VaOkopL+9AAo/HXs3haHWT9vRUv4wyRNHEAJ2kTMH11QQdpVADhR4xq6TuEpXqpBoBjYBG4D0RuCPErgI/7eO+ujeDaEcn0vRa2ebzYqqn25BQ1doonUVUJGq0EEOQk96Rjih8D92YHhpAnPZ1lTKDgvN6gHHxgiRWeZKWg+kJ5Bj2IEQiMxKN0kmIi3PjMiZIZP7rn/+AP3KFT+LYDZGYRIMhlkwJFyUnfpKYCQYt/y9Mc/z5I3p7tKGL+fvo/dFLqzE3HaaM0ZaujQRHSNnxSf0ieQvS7q6/I2I8pzhZMaUw1WeRQSrMNv7+0QMM9PexnQWqlgZoAtBF4sZ5O5/h87ExhANtSNFGMEhiNsb2ekjs5Nnv9ffj//73P+FQ7AiYdpjx/9q9foOwDnd24v/6/bf4mmWLTV0/CXMvCZgQMz8lg6NGu4hZVzfbTAmdqKvSZqtCXFxMtxePI07Jp0iL7EIW+dymlJMEmG3zsy3e/kFi1Y4viG2GBFIwk1iEYeYPBX1IRTvxxeAgYwDa0UGV1N62sCEtvejdVhH6mI+qir8N5y7C39L0obpPYje/i/jcFgq7cX5TQudMhIzwBnLi9MA3IE5ThmAbjlDkyi7CzamRiF9b2KT+04kUjxu2p4VydBKNgEZAI/BeCFg7oyt0RLIw6KIqiTdHYkdJXX5+C0e0pxNHKUna11VokuGnp8vIzAAiX03DKaRukqRO1C+NQVW13tojqmvVfvIKTasWoo80AhoBjUAdAneE2AlBsDOMTCeGKbUTCzLpTEVSZQLQuOM1sRIXHKISKeSL6oYkNe3hDozxZ81V7ZxJOUhg5J6pfineLM0Jbpc3gMjomCEnkbLluuk93lSHE7LS6/UiOj7KKbdZusjfzJ+4AyHJYbDwcDiCEf5U/VKP6VVTpZUJe73rkDICVPGc7u7GOH9m+6Rtpkqq7EcjnRiIVPGR9qm29zOIeXQ8aLRLnrV6r4xOerdsHxkmNZVNvIjKc0lbTKccnXZ6WGxzYYxkSyhZkaXspeKY297D0vwiZle3GLZgh5I75qVU0UtppkvsFpnOwJwlBUhcu/kr0dbOtAA0n17epPE2O3yoGKqX8p5MFVbB8y5s5z8l79KLG2IZiCfM8uI+8uvHsDFunflubcY7kTIcDh+CIxH4hhm3bpz2dVTJNJi1JW5dK3hW/y20klqn0QhoBDQCN4TAJTujU9MMdoinNnXiKIVx6pRNXWJxC056xIzQ/CIw2Ye2r6fg+3Yc9hmqX4r3S7H3kM7VGH+kZ9WbRkAjoBH49RAwup9fr7oPV5M4E5FFNAkFcJnNHBdMyYYaI4S41JYjd1QHLnuVUo5FmiJXhHBwsGD9Ep/U3Mxy1ZnY8skm6aoiErmmyjZuGPdr61flmPWZqc7+NWwFebmaV9qp8pokU0KyV7fqPWmTkOPqs1nvmWSqmk+OzDZLDZJXSJ6ULTaGadoBHjPe34sfnuHp3Ar5xh5iVF2Vj7GjPcQfB0yqcIoKqFwz8yuiqtpnpW3KQk9aZ8Weme/Epp7Z+rAn18TmUmzrNhmvjrZ1oCqmqBRJ3Doh8/KWRAUzR2lxkBLcwEQ/nPyhR0gd0Rc1TGMz3+fJid5pBDQCGoErIaB6lPrMrfcwjUqozV17Vl9T83MhdkZIAxqEu/JcmJSQBsu7SL1exN6rRcQY0iCXI6mj98uOeyNoZ/Bxx9ejZpw6sakT43NjAK+Oj81qqz6FGtMuztOsLH1dI6AR0AgoBGTefMc2a+epOlQTAutgUO10m8HTqBx1TcpVx/X5m12/bLpWy6kvV87Py3sd92pxVSTP3FNiR1XMQ3rH3FrbxPbiGo6pikkNTq6AtmOcgcdnaEfYTTs+IXYSQ1BtciQEvfFWpXSN77d+9eJ333pZraSsPqGZ+rL1S3oTG2ttJ6UIXFQlwnYc+dlNlNboCTMlcetkUVmC3EvsugrSJHDusRACD6iCOUF1Iqq3miEO6ltnrUMfawQ0AhqBKyKgupZLdXjNEqte8IptYTYpQUYuF1XXJaSB8ySkwfHrJRzQru5wadNwVOaidkhoaghehjRw0FEKDO+XJ3E+DVKnHuzqbdE5NQIaAY3AVRG4g8TOClU9SagOGlWrJWv6Zsf15dSei1Li+WSqtlw1LFRbY72vSFNtHdYU6vhsOa3nVWVcbS9ts9YlLTlRmTwp0ElVSw/VTiMdtDH0Upbnc6GP9n6ffzKJz2cmKDAKUsInQbMlp7wNpUArBZhlC8k7+4wnFbS4q58ONMa8xcKuKZmJ1uUKa9juMkviBAWU0OUZ2iCzvI3yWgIhg87JwrINWVaTI6vOt3tRGqYX0RmGNxii0xSxrTstVKFsfaeXa59OrRHQCGgEThFQXYpcuEqHd1rQFQ5U3ap/U/VzL96cPfRsLaqWZUrqki+WaFM3j8T8BmxcjGxnPxme4MIjJXW+r8ZJ6qiy3kldoBrvl6qCVtt28Vjeakk6nUZAI6ARuOPEzvoBmN4kq1dUr38dna61jIsnx6rmalvqj6zl1d+rnks5tUNMa/mqJbzPUbUuFRVP2iI/Jx2qDAz04/fffo4xkrh0kQ5o6DSlOxTABB27DNOTaIThCoTYGQugRjNMtUETm2rZjbESjKtpjOzn/GlcxjkZfvO3+ES0VzTi1h2mUKGhf3GRHtw245SC5iitM0myPLegVKHDFM9gGB4G07WJJ8wwpXUMt2ESO+sX1Dqmv3mIdAM1AhqBD4OApUtRfa8RpUedXNQq6dtkM3aWwsyr5/41soh6CDcjJysW9UsV7sfDkAau44yhfpl+SdVLer88ZPDxCq9FA35EJgfh/2Iani8nYbsncepEUse+UhhhwzFH6jLrM2uUWtU1OTZawb3eNAIaAY3A9SBwS4ldPXlSnafqYC8CT9JJHtMdSLVjvijfTd9XzyX71ibZ6klUy0wEVDlytbVyVP7qXmEqV1rDVVIZDlXo3XOAXiw76EwlWyrTeQfR5mDr4S9I5yk+escUVUFVqknpeKFms9YvN1TqmkR390QM51J8txtJZF+tIjG3iTwD2tP9jPEOBD2xWizRO6uTBv++sR74p3ph6/UDbfw+tErR3f129JNrBG4SAemqT7rv0178A3Xfhk2deL6k+qUnV4SLkjrbCkPCvF5G7CXDGixvIkmbukDUA//4AB2l3IPLUL8URylK/VLG0NMnuUnkjLIvqukDQXnjz60r0AhoBFpD4BYSOytpqQdBusRm3Z50ziqvpFOkrr6M9z2/KpFSbVP1y/nFZdUPAqLcWItAa+WoWq+yV/VVDCohHivp3ZN/JZafoCwEQ9oppE9s6sSxh1wx8138jGfbdJU8Z0v5ta7Ic1rfk8LryvVLYTn+SZRQXDnC0ct1xFd34UtIUAPTmY8kEe5XJLGz9zBkxMwg3PfoNMWYrPCGuGvVm0ZAI6ARuAkErJ3e+3Z4Rucpf/g7kca10mSpVkZDF7P5coytGstSs2Ebxww8fkBpXXxhA4VkEr4IHaXcH0KIkjrH5+PAFNUvpZ/0cOw0JHVSm9GIBtWetKvmTqNrNQne60RKf19I36sBOrNGQCPwQRG4ZcROSIp1uyxp+bgIgfVJL3P8oTp+GWxMuzgZTqUVZjgDK+pC7MxBqXr1LgxS1/qMAh0nKtihm+6lA2QlxMFugmRapHXmZlI8xih0ehmQvAPO6V5gjHHrImR0Et7AaJC8I71pBDQCGoEbQOBaOz3VPtVnXVD4STJRTHAXaFN3kDJs6tKvlnD4fB7Hixuw03lKJORFcIxx6hh8PPDtBOzTJHURCWnAjBeSOtUmvdcIaAQ0Ar8eAreM2F0E3AWd/UXZ9f1rQUDInfVNKLIhhVuvt17Z1XK1Xv7HkvIEBxGDHtItytIOML8D504crgQD3JM0C9YSrzwvx7St8492wkUvmI7+Dq5CB8wYTBrOj+WF63ZqBD46BBT1ev+Gn5Rk9Feq07q4dBvt6py003NxAcxNRykeOpeqUKMh/csC9l+8w/7yBvKJJE0FfOidGkbbF1Nwfj4Bm0jqomR04ijFLvWo3/s/iS5BI6AR0AhcFwK3lNjVd/Lq/DKwXSXPZcr/cGmv58mupxQZHKslmXI8KzLVe9arctz8Tn3Ku3F+godI67JkdvtJlN+uofhmA669NKV1EsfRTCMqmAmqLLnanAhM9cA1PcS4dWHOcrh+bagyKWzVvio9vQyW9VMsVdplytBpNQIaAY1ADQKnUcRrrp6cNO5lrFdFIcHLGHU+9pOuI5HU7SPxgo5SXoqjlE2kkym4Ih54x/vg/2oCrm8mGaeONnWMXWeSuov6Q93zNXoz+ppGQCPw6yBwS4ndrwPer1uLDCZW2dZFg4vZOhnQrMOMGQfu8uX8Gs9qbaeqT65ZB2V1Xe8bICBgFfldMMRBZfsYqdkN5OgR05XIkdTZDYmd5Mrxl3WSxA0EUZlmeAP5yaTF0Qxp+V5a+96k/GabfpfNkNHXNQIagV8LAQfDwPgY21MkdaUlBh+nPd3+L3N0MLWO0lESgbAH7dP96KT6pftrkroZkjoJPi4eveyqH5TeTH6//lY/pte3oFkvXp9On2sENAK3E4E7QOyuZ1L623j9alC5XGvOdvRXK+dyterUvzoC8lrTlNbtHqJM1aLs2h4qWykEqHypbBeLpMmGJ8xOPzxjXXBMcdIyRGldkLMWg+9r+vWrvzddoUZAI9AiAs36p1qSVR3zTo6ofikhDehwmeqXZdiPGadudQ9iU7fPOHVHdJRi20vSfM6D4GAfQo8mEfiazlIe9lD9koteXnaODtFxl03qqq3PuNz0j6SttqhpskvcuN7SLlGxTqoR0Aj85hG4pcTuMp3ub/4d6QZqBC5AgMO8zDlEFHdUQGVhD7m3tBPZP6aULk8vo6Luaqq5GqElHC4ERqIIzwzANcK4dRHa1kksJsNupFlV4rPUXBDQk4pmGOnrGgGNwM0jcLnxXYU0cJUqBqnzxNOwr+0jRVIn6pcxxqlLJRMIdboQHOpB9MsJeL6apqSODqW6RP2ST2SQOqm3lbpN38PVfrJ6dPPY6Bo0AhqBu47ALSN2MvE0xA6/4fda376q9Mw6ZJwdCprnO/uwraa11iilnK31bNnqynl1XKbcy9Sp6m60P689jdJbr71PXms5H+qYeJf4DBnu93LIzm7j8O06CrEU5yRUy2Sz5CdfmhHFzuVGYLAbvk+GYBuiJ8wQ34H0BPUw8NLlNqnFul3Xu7WWqY81AhoBjUCrCHBRi92Si+qXgSyDjx8y+DgldclXyzig+uXh3AayiQScIRf8Y70IfDbFOHUzwD2SuihjehrBx62SulbrNRfSdA/YKl46nUZAI3BdCNwyYiewVInSdYF0feU0mjnLtbNtliny+YNC43yN23qZtI1LuPjqr1HHxa2opmi1PZKufms1b32+D3ROD2+gehEO6Oty7RCZtztI0SGAI5Yx+JpI60xSxyOHA97+INxj3XTdTds6CUguK9ISzOl0O/s9yq3zv8fTzKcHl01/mlEfaAQ0AhqBpgiovqp5D2Ok4B+hV6KC6WL4F+cJqUu9WMKR2NTRuZR9J4FI0A3fcC/CX07C/+0U7J8MAN2U1LFrhNMkdRL9s3ltZxsqaaUNRjssty9ThiWbPtQIaAQ0Ai0jcAuJXcvPrhPeegQ+MoJ2pffBqQLtR5DhBGTzCOU366gs7gGxJNUwDfmcMSURLU2ZmjhdAfiGuuEajtITZhvQ5ubkhWWczjhkKnJ6cqUW6UwaAY2ARqAZAs16l3oS1Cx/8+vVko2QBpTSiQdMsanzHGdQWmFIA5K62Is57C+soXKcQDjoQnSCkronlNR9Mw3nw34udimbOlngEkp3OVLXvH36jkZAI6ARuHkENLGrwdgqvamVWlgHnerwUZP59OQyaU8z1R1cVIdpVCWZGqWUtqtnqX2Oumpu6LRRm26oqguL/ZA4XNi490xwgnOJ+xSt55Z3UXpFYrcWgytegItyOge/A4lbx0hNKDqdCI+F4Z4ZhGOIMZlCnMA4iU+N+3Ap86pf8G/pvb8ntDq7RkAjcLMIqG7m0t1GowzVa3Lk5LDnZ5fokZAG8QxgUb8Um7pkIg5PuwteSupCn03C8/UU1S9J6rpPYnmKmI+baqJxov9oBDQCGoGPAAFN7E5fkiIA6oKcm6SovnOX8+owotKb+/PTWgmXyncV4qV0/qWM+taoFqg0zVqq6r+u/VWeo7ZuaalqvbrTeusbYatKkX31fVqvmu+4/t2//7PU1nETZyfIiBpmgdQtkUeBDgEy9O6G9QQ9YXKVml+pPBlDlYNTGxS9boTGo7A/GgWGSey8EreON2o2uVD/FmoS6BONgEZAI/B+CFi7GDk+0w9dpvi6zCzPxeHPKyENjjKMU0ebutdLOHg2h+N3GygexeGlpkKYkrrg5/R8Se+XuC/ql0LqWBa7RbMPlIZZG3pxm6yp63vSulb+/+y993McSZLv6QBKoAooaEmCAAhQs9X09Kje3WfP7tnd/c1n98u9s7vb2Z2dmdbUIEAQWmtVAO7zjahAZhUKBUHRbDKzG6zMjAgPD89Mj/BwdT6wpEZCgYQCCQWuQIFEsKtJtLOEAc/uL8qoxeyjumcLDVGdakid3S7CJj6tVIPxNu/Vwufq/dSmwXlwA06VgtpF251X7wMr1+OWb936Hlq6Rdsfn7P9qVXLHOw53zpp60RPVTskYErdcMEabvVY3ShCXXfBa+tc6ft8b0AmORIKJBRIKAAFAr+XNfnJxaUoAwQ2txwcBwS5DFjpA6wVVklpgFCnlAYr3z+zdfLUHc+tWXsWnzqiXxYIlFL4yy1LfY6mrheHOgl1UvW5w5tgXgoVKguP+FAcXpcFktRPKJBQIKHAG1AgEezegHgfVtM3XZx/TFOQJufLCncf1tO8EDYHPLMttqYn16xIFMw9FjH7i5vWiPFl2gFQgoI6OyB5U7qjibx1vZYZIW8dicmtwLa0q6Tnrr+woLlQz0mlhAIJBT4CCpREoiojudx8cn7taH5xgo8uS4KY6zwqroLLWbdKjfipg32l9Qc7TO0fWg7zS5/SYNyWvn9uC2OvbIfol4XWjLUi1LV/eZuUBnet/jM0dQog5TR14oEXF+iC552PfxnheKWhRM2Ts4QCCQUSCrwRBT56wa5ywrk80w0CQvnC9zJwLlP3Yk8zQKwcXbx1qBO/V3l+kTqVbc66DnQK5eX0Cnf1W4n11bC4LJSz8YnjVnl+XCEg+viSlbV+hesjqLZPv+uHVny5bGs/TdjG1Lyl9oiMiZBGCl5H5yL/HjakLHOtxdrvD1r2LpEw2xuJKED7kh/Jaeyv9kROw0nuJBRIKPDhUiD2nVey0xPdE9jHqp2MJdSvVnZSKZycrqTmuuvAnC4udVmlIIAs+/VcOoNFen6HTS2SjyulwcZP47ZC9MvlsUnbIlDKcb7BUuTvbPySPHV/vkX0S3hhN+aXWeau+svMD8Ir4BZGEq6FmO65keniHRwXn2vfQedvAWQlbeK0ewvgT4H40OkV4ecpU/4ullMnquuHWV63/L0rb3mKLMmNj5YCH7VgV8k+9BR1r/rrrg+k8qNRizABqcx/RNXbu6rRZOUvz+irVPjGP8Kk2ihrYXiVTivpUslMKsvVR0SveI/VsD37mcRbfhjnWkJ8EMKdHgF5mWxhx/ZeLNrak2nbmVmzNiJh+o8agY4qRfCtT2Utc73Dsgh2daMkJG9BVaf0Bu41qXyWHwadEywSCiQUeE8UqMaU411XMuh4/cqyeLuK83gzx3re1jQFYMllmf2iZdZ3EeqWbJPol8syv8SS4Whh3ZqJfqlIwO1f37TGv5DS4PMBzC+xXCB+lDe/FHb+T2idwvVkLCr1iMf/PSn+VU6qz7XvBxVPhXKKvZ+eL9bLxdcmF4P3tmtVw++sPi5T9ywYyf1PgQIftWB3+QcYFrmnP6DAvi4C8zJ1LwKvdh31dvY0VLvtVUoDja7S9n22+a3geUWa4ENiK2jnXi279AaHM5tWv7ZLigMZCNWVhDqCpzRkLd+PUDchjc+LAABAAElEQVTUZ3VDHQQIYDHTxPvtXvH4e3NFPJJmCQUSCvzmKeDnrDBzRXwhOisNkRunaqlSuFmDElEfHmqURuACjavBBYzYWAOssBF+mMH8Ur7G8qlb+uG5LY29Nltcs0KKoFED3Zb7YtRyRL9s/AKhDgsGy9Ov86nTXOFxCt1cDKN4rfL2AU7yW4sCcfrVqpeUJRRIKHAZCrwHwS7O8D60DzmOm8gW8BOj96ZsgZihJFx/WL/vBzuZ+Om4eG9BQPbt3gbNoid22jskKrsMjm8DK8GI967r86gUaKO6OgKN4vfDPV/D/wtcdaWgKYvrZk+nrX5s0TKLW7jMHTu3OVdMlU3+8ulGK9whb90Igp0CpmTxrcPnzgOpxJnbyZFQIKHAJ0cBzwnO4AdxVib2U1ktXl6TcpUVK73Tosbqoqw09OlAwPu5lk9d5vDYMiQfzxAVuP71iu08euXy1C29nLS1tVXLKaXB9W5r/wqh7k/3rf53NxDq8KmTps6ZoovHBuBR/xc7u0q7yjaVNIn3HOrWqhOv/zbOQ58BlgsRykV8Lqo9R8UheMxD/QDjbYwnwAx4Btjh+mq/cdwF4W1gejVMqrcK+J2N19klpd3cEuC3Q6/qWCZ3f20KvAfB7tcbol7x8CEELGq99qGOfivb+TAU8Rofy3lgkLU+dF92Nu1UHuBUo4vKasGv1ub0vdPPJGK8tcpOQ7r6nbdjhlmNVpU0qkYvPQH+DilTQvKpZdv7ZQJTzBlrJG+dIOiDVkv2rm0z1WB1N5ut5c41q7tFkIBWfOtOQnlTKTkSCiQUSCggtlLJQGtRJV5f51c+4oBqAKmCmwS7BoS6RszRs+v7Vgcv3H40acs/PnfRLw+W1i2NT11uqBOfumHL/OWeD5SilAY5OKVM0a80JwVkzhq4ykOdGmO6VJHgndWfAFWbKy7SQZiHarWvLAttqvdbOXKPeSWMi+BWq04ch1BP96r1o3uV9avVq/7UzqN86P3qv9Xwqw7Nb6z7sVwer0oanEWv6n0nd39bFPioBTs9ilrssPajqv7x127zsZbKaEbHaS1ZNOKLM6iozYd/9nYEuYuOMzDfGu8eixkn1GFiVJxYsu3nM3Y8sWp5O3DvugJdFjk7qKu3wwKC3ECr2e0+8ta1YYKZKc1xNeBfFNWkXkKBhAK/cQrEloenJkrP8c8c4Kn6Z9Z8s4IYGq5Lro9RGeo8fYA/MZo6CXU7j1/ZGkLdxpNJO57C/LKh3jK9Xdb8+Yi1fEuuut9hftmP+SVynQud6bAS8FgH7t5F/rlqu4vAPquO+gxEf1f8+zK0uDgOAWrA/qwRvrv7F8f13eFQC3KE3/k0iurG34ha0E8LtrVrJ6W/fQp89IJd7Uekzyiwndo137z0ffZVG9tyhhAxCtHCl5Wzl4tTSLCCcFKJw6e0Q1ROv0pKnH0dfxaVtYCpB7HH3yoBAl7O2/6zSdtdWCUR+d6Jb516PuDvuCFj+Rvtlr/Vaw3D+NZ14luXpfSqqAEzORIKJBT4uCgQtuzez6jKZx7fpxjSxWYYzSAKkiK3uAw+dY0IdQ3TK2jqXtniD09t4dlL219etUJjvXUQLKrw5U3L/eWBpb4atPp++RbTl/OpU38X69Pj+Db/vfh4PbN+l3jG55vz+gkTx69Ju7f5HMphnTf68trJVUKBD5sC70GwCwzhQyBEXOgITO3Xw6+SmbxPTNR3ZX8en8izISqPzqq1K3+yga5xWoca4V6o4+9H0EO9i/3G2+m8kp7lUELf4W6EQ3k7n9Q71Kpu3hGVRmdxbKK7Fz8TPueMQnnrdlmKzW7b7i9TtjY2a8XlTQQ7PxaNw0XCrCNoSiFrBfzqmh8OWP0A2roWxp+ivWyYkiOhQEKBhAK/CgUuyX9iLFFCXZaUBo27+NSts8M1s2o7mKKvKqXB0wlbW1mx+qYGa+3rstyDm9b8ZzR1n8unDk1ds/if+r5k/++ERhrURY/L1L0ozFCvFi0q+1XdynsBTvSrGrWgRjXf5EzzXeV8fjV4F8M1Xut8GlwMkzhMtXhbcKv1fh69Kmnp1xPVICX3fhsUeA+C3YdKCL3MZ7/AlQzqXX52gUL61N9HP/E+Anvx96KS6MzjVF4vYHz6N6pXnZkIrs865Gkf7+c0tPI7vq2/d5l21ScB//wDvvGedC+CX/s9ibe7+Hklbc5+D09gCimp4jYP7Hh6CxPMeducXLAMkTFTbir1RqMyyDysT1l9X7Pl71y3zINBn4BX2jrnV3ICMTlJKJBQIKHAr0uBEIklYrin8VEZ/K/h6Niye2jqJNRNESgF88vV75/a6s/jVsRyIZdrsMYbXdZKoJTmP921hs+GML+UTx3tTwKlxMGHTsVcP+wjYBgwflNsBa86rMq7YdF/gTmqhJQgBHzfFM+z219hDq0AdhEcK6lRAeK9XlbS9XK4nUWv8HzjQ3kXa544/OT8XVPgExbsRNraL/DlPpx3/ajePfzAOGqNOzDDWnUiTCuZiS+5WNsISvzsTdrG4fz65xefKE9w3WW7em7bjsYXbe/lku3Pr6Ot8751qqN85ZquG9M5TI+6LDXaazaEtq4d37oMT84RLzxBVzn5J6FAQoGEAu+YAuI5l+Pcvjb/ltiWUhqkCBqV3vRC3TZC3RLmlytPXtnhzIo1HcL3bnRY08ObVkBTl/4aTV0/UYAxy5RP3bGzVJA1iv4T9PCnoZfzRN+3avmaqvGhHh5zrWM8jb3/ISNwg/BzjB9PtRGoxEPw/2pzULCirVC/XejvhT5chXP+CX16uGqpO1BU/pFYlHhYb0rfK8yh5+AdigP+4fpD+X0zvN4dvT4U+iR4eAp84oLd+3wNAot7n32e31clo4hfe4x92gexYLGFMIoGzsTu/d2on3h7f1etwsQQ1UvOqlEgUDfQS7QTRflT0JQNVHYTC2aPpqwO35L0Mj4mPAcFukSPZ7uql0pb83C7Nd7utxR+JtbGjnUGeKcfTDUEknsJBRIKJBR4BxQIvK0CdA2+5FIa0CwD20sRKCW7SUoDAqPsPCb6JULd7JNx21xeQVNXZ229HdbxxbA1/+Gepb8a8kId92V+eczP3vERrsk7tr67Z7tHR8xllR3DRwk4lU7VWy4ND83io4zlQ4Z6qumFvDPGUDGkt3vp+6wWtkwlEsQ0lu3Dom3sbNvODoJv3ZHlGklzk28iAGia+eHIzRNxwSw+esHZ5W+Z9hu7B1aEPrlMg3U2NWHBmsYiRPNQOC5OA+GlPxma7Bzs2fr2pu3vH1q6vt6amvLQOIfbN24DrlaA/+v/xmnjsTl9582xFMyL0/LN+0sgfEoUSAS7Cz/tsNgODeLMLtz7EH4rmUU5U6pdGuHv63mhTsz5EPa7x2+RCVLsOg1YWbjU81+lcBdBOf/sovhUh1T+TISHh1cJVc+qvO55ZrjV+7v43UoMyp9CLTjxmjovXRf5xQTp+MWs7T+ZImjAujUy3kY3Yj95bnFe15ix5tFuSzkTzPYKoa4Sq1p4JGUJBRIKJBT4dSggTlWPdicN32vE/DK7RvRLFyhlwlYwv1x5MmE7CHWH+A03sIGV+0zmlwh1nw+a9RIJWMnHZX6JkCPuv7S1bX978dz++fSlLXJ+MnuX9rwkXmTSDdbSnLfB7k67feO6jXST/y6Tc8KdNs88Jw48NPwG+pT4dLi88m8l3ABI9yv78CKRNvSm1jbs79//aGMTE3YE3UZGhu2Pn39m19tJ94DA6mdwtT8NRzP68uaW/fXpU/vH8wnbQvi9iZ/iv3z2wO73EnyLCKOVPQesav1qM/iQvy0ExScz0/aP73+xubkFa27K2cMHd+2ru/esq1H0beA/eYdf9qik1eWwDNS4aK+1eqtVdjb8y+F7Npw3Kam2NnoTeEnbD4ECn5hgd8LOL0n7SqFAzXXvqvB89x/CZ32azXvcND6VHTLG7cNDXLuKtn5wYGs7u3a4t2d9hSbrbWsjenQ12gQY4ffidDobnwAr/Fbrt5aQWR2H08+ger3Q61V/LzIub5iif1VbR2mMEurwrbOFddt9Mc3fjKXXFAmTDWlqq5YMMvdZmDQM5e34Tr8ZuetMCcklgbsjwIz2CUNJqULyk1AgoUBCgV+fAiVWVc9var9IoBSlNCBQymMCpKCpW/tp3I4mV6yA33DdnU5rJfpl4V+Ifvn1TfyJ4XlNNJTtZsn8Utt9K8xb3z2bsP/j3/9h00srduTMATXUkuUJ1+lMytpaCzZ6/ZqtbOxY3T3KenqsHc2SZpZgxOkJ9K64Z4ArIkQzQbjr+/b/qoZ0cVDHplfX7d9/fGz/+Pt3dnRUZ99s7tq1oSFrb+20DIKZD6sVbx3mAW2H1tvSzo797fFL+z///e+2trFpX9wdsesIdSNd3ZZ7A8GuCH7bxWN7MbNo//M/v7Mxgty0dRSsiMA8OHjTWhqbnY/41QQ7UUVU0FGNQr6k1r+1W0VrjNBLfM3nn1B16LXKqrf4Ne++mzXPrzmiT73vT0ywe/PHHRbfYvKBmXgzCe17/baPiHnJ8u/QmVBs7+/Zwsq6vSbi2MvFBXs5jcZoY9u+vjNq/+MPv7PmHGGkP7gjzvAvh1ycBr6lN8LRuX++7+45R9N4NKGYhDolI19ct6OXc7ZL7roiwVNyPJ10aVGivHVHmLekO5qscbjH0qOdPn9dK1ntGoR1OeP24/CjS/5NKJBQIKHAu6bAWTwnzm9DwF7JZOKA2f0jy2B+eYwP3TZC3QLRL5eejNvB3Ko1w/ua+juI+ov55bcPLfv1kNXdkFBHTwDw87Nma8+/D9Aare8f2ArautXNbcwz0fQ5M0D4ekBup86ZMh5gzthQxPQTzVe+IW253pzTWnnBzlut4LUHV+WO7Dzd4TfY6uvrEFRAwd0LbgzHzKdoDoHnxqt++ePS3atj4LpWG68bOyYXqS87pJJmnNBLqJdCC6f78qvWpt4WNFtjw3UFH8Tjo0NbY97eLpmcivuH9pyeHNE9LD7oZ3N/31a3dmxte9dWdndtBzjyANBovC2MaCncNB6PnyumhvBi6O65afxeENbMA448zE02h1e3d8Bvyw4zabwKDjCP9TlXBVvCpYctugCfq9L/QgDYolG9o62oodH7w49C4nmJulgVgSPPxV2XaK336YhnIJj6R7im6rweVhCKrHeIzePGSRPKNWaPi9qof/kGSrfoIasP4Sm4ghkO0UFmvWwUcMs/T5VJgD7CzLU0Nt1RR+4+GAFLL6JGIZNgHcJXoAP8FHD13P27Fd4JYZkcCQXKKfAbFez8ix8NJXzk0Z2zzuLf4NU+iCOY6ZHtwTT1IepD0wdMHEL+vTgeZ+EX3b8qppcbVajtexO7PMTOfgcGv2XrTICbMPpZdvDGZmftx/HXNjY+bUeUFxqz9u2Xn2GPGSBEmJ8+u+pYTkO6+J2L4FUOLdBA08wBf0Umo7r6Bhi1NzgVS9eZn2rL276TK71OB2C1XrSjsUXbffTatueWrP5QRrGaUvy/LH2s2EBEuOvt1nKXSJgj3fjWoc9L8066aHDvBLsEaEKBhAIJBS5OgTAN1GDNCtybQWrI7h87oa5hes328Klb/emFLaHtWVpethR7ic3dHdbycMha/nDXMl8MsZFFkKgc/K4+Mukr60YXmqK1eIZXZnMZ6+xotVb8yLTIPyAwy/buvm1tbNgGZo3jYxPWlc/ZTbR3/V19lm7wnma78N7FrU1bXNvEX2/X9ouIOeCcQquVz2SsPZ+3rkLBWnONGEtorqi3td1Nm2FTdBmtmpbhTW0t1tzabHtoI9fW1hyL7sACpr+93Qr49+0x7yxubdg88+4mQtau+uC/BoSNPOVtzc3W3dLMHIwmkXvSikkDGcmYnLuxRuJP9JDKqHJyWyKwhF1HDDYJmfjo0R8qc1MRl+uH+wjHm7a0sWUb4LaHb5+El0bwamluso6WJmsHr2bw8sKdvMDBX7C5Z4LtcPOrJdHDP7E6/PwQ/qCpTGWlNdxBOD3gXWjA77GAz2NnS8Ha6aMl1YgLggQcL85JKJTJ547ao3lcoe0SAuQOfpkN0sLSrpH2eq5bK2tY5x5aa2urXevthoYFOzwq2vzKks3NL9LngWXw/2vvxI2BuV9t9hCYc8Dp4bn1FFosxRgkBC9srNkim9xbnBfZCFCAnkwqZc2ZrHVj0tvBe1DgPAWm2nxdpP7U/IKtb+HRiHVNnvI0rhPb8vuElnoP27nXQT91vFTrjGOVcWwDX2uPNt6p3o42UtI2sX+RYt3pRVz/dE4eZXKSUMBtgPzqZBADqc5uqqEmrnDeIWieLQXmVK3Fxfot70+OwFt8/GswIO2yNKZTMIe8NcEELj6GatjUuncxTGtBqFbm8Y3Gp17kWD63uGxjr17bDIxufWvPduDH40ur9uTllM0uLLkxy25etPj1Dk01Ee4ejyBY6344vxyGooECkezwfDdguHqoWZhzLpcnAqXfrZN4dx786A30/V/u3SiNzT0QWi7u296TOVv6+ZXtzWq3Wh6P/g1XTTcppzLWNNhpzfiY1CsheQsPzaU3EJDkSCiQUCChwDuigNM2VMKuwfHEks4obmAhn0OVo0ApdXOYnj+bspUfXtgq+eqKcyuWydRZ9nqrNREoJf+Xzyzz5ZDZdTR1eWAS/dJzRccRKxGSTOcOaZe6Wbh/+4cv7ctbNy2bTTtTzZfTM/bLT09s6um4rSIAzDDXrbCxuQuTldn73uGBTePX9/2Ll/bj83GbonwLQQK5wNJZgo20ttjtgWv2xeiQ3boxQPCRVqdtGWM+/Z+YOP706IkTQK7dGrbrw4Nsmm7ZS3z+svgJ3r85ZN9+9dCud3YgNK7Z98/H7Ptn4/Z6cdG2Mas8hC7pbAphodn5/30JjNv00dKUMQKCxg4RN/D8y86B8Xbh3M900gyuIdSNLy7Z45cT9svLV/aK9cEmQph88FoRSIZuXGMcg/ZgoN+GWtqQsyPhMEKwhGx4GBQIywMoM7O5aU9n5+xnhOoXk9MI8asEW9m3DEJZX2en3R+9YZ+NDNtNzGM7MOWUgazG6oW6OpvjWT19PWk/8WyeT07hV7ljOYS0W7eHMbFttannL20Cehvawnt3Ruy//9u3PKc22yRozF9/emR//Y9/2gKCXDv+hbc+v2cN9DuBz+HG6qp1tbbZN1/cs6/v3rJGxjuOr+DfHz+3J6yTFpcJ6EPQGWle9S718W59dnPYvrg1ZEN9vdaSLmB0U7QfJ1/b//V//9XGX08TrTVnfSODVkCIW5hfthWecxrt8PDNAbt/d9SN7OXYpI0Df3kV4Z8+b/b32TcP7tgX0Pg6mwD5urSz2tGTKnsFLrA+oUlyfMQUeG8au8Am/KI4UNSrmsWG/fJUH2r8CIyp/L6HFV5lXUUKb18W2nmoeu3jtaud+16jdnEs4ufaOdsq7tv82jq7SlsuqtNwf49l8DfLug9Ktc+HE4d5/nnA+Pya59WoBUm0c8+CHbI6duBS7BDJPr+OnUg4F4oj+djtWT2mFAcpWcWLcUe0Pa9vPQf/fAIj8s9NGrDoKH/W5bRUmX9novrxs+g98EJfgFsJU21Ol4Xxa3mwwS7dAgx9fX2TXbWcDVzrZxeu1b1pYbqqRUv1cF656px9gJ8Skq8hZr5esYNnM7b9cp7Fzja7Mdqp9DudMsOpa8hiltRijYM9Vn+rxyfkzTNmFzzg7B6SkoQCCQUSCrwbCoib1uCApWLWwv7gV+wqhQCTYjPxeGbNdp++dsnHFSjlYHLJ8rDElmsESvkc37F/uWfZb4bQ1KFZkVCXkvFiOARUfzrE54VHuGZmgDW2olF5MHTD/pfPPsedIGtTO5uW597i9LzN1bGBBv+XJmUL7Rm6FEuzkTmLtvC7J0/xZXtqP76YsDk2O/fQ8h1jMtdANOLWQt7myae3y1xZR0TNhiG0gemMzaOheYyg8t0vYy46Zydani6EvV0Ej7nJGXDJWSNamNsSEhGcnoyN2//34yMEFN/HzvYefnNHlmLeVXCX+SUECepKUr17sxmBL8soA63DbzReTwVp0Pw9Pwvr36iV6ug4aSVhXX+0wl7ENhBqX62s2j+fjdl/4sv3ZHyS8ZNLUJomCNoEXhNYk8wjEB+iacuO3iTbBEFs6iUSg5NTIer0pAfOvUYRfReaqQ17/HrK/v3nJ/bd0zF7PT1n62hFD9C6pRl3R+uMzSNUy4Lo+DNMIvt7LcVmpixo9lmJLLIR+3Rm1v7681Po/NTGpmaJEgoeCHbTCIztba0282LS5hEa69CAHmFxdA/c+47qbZV37jm4S5Ce57nk0apN77GxwBpnFjgH0P/GtS67PtiHsIgGjTXB94+f2n/89BTBbtpWWQfu8x5omFmeRWdbs62ublgRobQeHAd7Cjz3etxZ1t178+z5pHaLrW19yxoR1Fd5rzYpS6Htm0ZjPI/JagPPewIav56csw20dg3pFIFncMNAM5hG49ycZaO5SdrAsI6BtsmRUKBEgXcq2PlP2C+qAwsJv77/aKGv69MiQmBS4de3EtzAHtQmXurvx++chhza+hIP0/9b2e50DXQ47C7V2wYfrXaVDvZhsDC2POYRTXzEacqk19HIPLTKDy8IGZX343jEz6vhFC9/0/OAh8crheaxt7vHGvPNNgwTITqxbdYf2SYMN/XzM2fycch4j8SUL4haoIR/buonGA94AKHcj6T8eTpueTJE1Y+/M9F5QCX8BljlvyeAHJzKsoAf06gznVhlYnj2aopzxorJRI7w0U1MVBmerTfO9CMp7zPex1XPgSi7ml2Ij4bOHk9hirlkdQsbMPID/jz9tIuKmM0cAV4jvZbBv866mUxzfNbsAvsj/rYHfC77DoZ2yW9CgYQCnxIFAhepNuYTzlKrUrWGsXta55ORAIEOrRdBNrIEiaqfWcdC4TU+dU9sloAeO2g0mvB3aO1pc+aXhT+jqftmGJ+6UvTLFHOYExhOMIr1UP1UIf13mMPXcCsoIhiss2CXkHLgTOqY0vFNlpZEbLQB2EWsdBZZ8L8kAMsM8/7eJotvTAtTCAiHwJJGbZ0F/vjEa8siDHax0dvbO4ApXt72EcBkBbKPALiNwFCcXbA1Fuvez6vO8lj85DHh1My3vLhCgJFxm52YsZ31bTesDHNPkSEe4my1TlAXLfgbwL0LLVR/35C1ZeVxWH5oTtUsJTNFpTJQuoEif/LzS7Fpm0PgzGLOp03CWodKJdjNI3g9mpi0/5LA+ctz56t4AD51CCjCW2aPr6ZmbJ9xNXG/I4u55EjGCli6uPkz1olmH8GVpo3HbrsI0ePQ9vtfntnfv/vZJgi0sgOdnPkpwtURZrKraO8eI/AccT8HzXNoL/Od5GplU3MLQW1iYZHgOC/snz89tpcTU2jhsKhCAJJwtTA1Z8sIRVsI4jt7Rec6c8Cz0DrugGeI+OX2UPd5jvta86xu2h6avRR9H/Msm/ON1sTmbpYN7n2E/Rm0aHpGC/NLdkhQuQbWTGnMdiV8C8by0ro92x+3HIPsJ7Jqd8cNOwAXWTjtQ3/5exbde4CWDnPLI/qU750EyOnX+NFv826ght1AIN3lvZMZqwTHOd6NRwitvZi73r42YB35FhcbDduciiOs6SpuJ5efDAXemWAnpqJDH7CYjOzAdS4Ng34velTOGWIEle1VJ+hqKvU5YQnrxQXfsrL9RXFRO2dRjiarvrlgu3D9pblNezQ9bcfsngyj1emozzuzDQwkSpgKg3JxtlZ/EW7lAo6/H0bjBYrqcCIIvrySgtVbeRzlL4hgCrPMtTS6EWhiWIURdbVMYwZzeXPTgI2faGRtr+cvJne59yBgLXjhT/cCfI0y/qeyyx4eriYbPgsE9WMm2y2Y6uI6AtXkrNXx3Ie6uq2tLsszFmW8gCc367d3lJ4XjN4Jdmjrjh69suPxBcuu+K/Iv1FM1nS6g3Y1NYqt/v0bVn/zGng3skpSjUCZszB7mzif1UdyP6FAQoGPggJxdnLGlFJ+uwp/V4UAp1RZnCqDsi1XCpRSN4tPHfxu9btntvIYMzjMHYtIfXk0dY0Phq1VKQ2+GsAqQUIdS1on1FXystCJKF+Ole5IQFpEo/LXn37BKmON3HX4UiFczKKBmlRwMOa7gvysWEAXWMwrpUwjUlgnG3uj1/vQwqVsmAU3YpftAX6DRfo8gsUiwtgWWpj5hWXgryPsHKFM9MtuYSRMFOmzDqEiD4y+3i4b7OsmunSL3b3Rb33MNxK8bl3D8oK1xRBCCGFe6KMOn65DBIlFm0do2Qb2AtqdRXCXiV9B2jDw0xxLVa9o0zj522Mu297btJcvntnEGJpIBB31++DebbvR3sNGZdDjeQTVPhzhVONQJNFHmGC+YB5cR2gqtLdZ+7Vua8LXT75oW5gwLiLYrfP7EsHnaW+ntXd04OPWXpodPbT4qkarIglViwhsMp18jgnlAkKdom53tLdaT08X+e4abZNxLs4s2SZC4wQa1R/QZHbRf39zizXlMy49wzhmtI/Rxk3OLqJFPSAaaMG6oW0rmrodhK8lhKIdR3v+kUStpwHZSmduyBq7LMp0L8NFNz6Y/eDQBy79mILeJg1GD8/okOv7Q5jBtreg7TuyXWi4yzNV0JlZBLMVtLBraFXnWjDlZWx6n1hUuRWDoOtP/pcFNLXt4ChN8TbxDBag7S70W2FDuYAPpsaf4Xeb6wWe+z6CKTY7uMMQTAhzUvZBEPrCXF/5DYSneP4vYMoOjT85ftsUeGeCncgiRqND9tM7qPIVlWqPnS0xnMse4WWTPfkhvPJEbNI3o4+l9HYesbsWXlS18YxUH6yuQslle4/qq/9dvqWiGGkDDrns6DxmJ2vlYJ/zI7uFtqtLyUEp93tZDgsAXP7DE7Zq7Q99wNEhkSLovaK7b3bm+5LY5XiexBuwVq40jC5hTqQEutLhhToFnTFSJ0An3gNpAq/yHggB0UUBbDQJCkYdu6sSSEWh8Lw5jdFOV+cf7n2FCNqhPERLuc/keyD/CybDTXwKdjHBLY4WbQg/iBZMLnJMaFnAhrcqelbn91WzhrR1LHSYQe1wcsG2n7Bx8GrN+dbJoEbRMLX7pwl/pyVrBXzq6h4Omg13Idhh+nLyqgTMKnu74oOsBJNcJxRIKPDxU6CSjej6TGZ3ZkFEp1AFOA0w8DTaHmnqJNTtPn5NnroxgqW8tOJrzC/R1NXdaLe2z4at8G/3Lf37kZJQBzip+ZymLgJ9kTPNG8v4Rf3tn7/Yj5hVNrAwV9RKBcs6IqBJHtO/np5OG0CI68a8UjFZmjC1vEUglR54/xpz/Tp1Nd8vs8CeWlu1H7Bm2VtetxUERmmgdqX5gU9rfpIAoyErIIYCb3QgbNy9N2pff3bPfj8yQjAQse0MfRWsAV+u/o5O+xq466yZNojWuIJgMru2Zd8/emq7aK7ke7aHMLmDpooYM8CP5qBo/FodyExROep27D8wn/yP/+dvBIfZstsPbyMwtBPopMuyzGES7Rx+ahyeDeuXELXxABeMWUwUX2B2uEDfxwiVPQh1dz67Y73X+uwIoWUWgesRa4R5+ppD8HgxMW1DpFtgKMylEVYRplqnefyWMFWVwCjzS2nEWhGcbj0Ytd9//hChqsWmEGr++cMjBDcE/u1tG0MIHLnWa1/euGE9uYJtQotXCHSvwEGauiYEprs3b9jX8lkcvm4zmIf+gO/kL0rgjuCk5+Ck3yrToIS7RjSkA4P99H/ffodP3QDCax4Bqh1hvxUNZN+dvI0MDtkazpWbPGeZci6jDZXW8e/2ve3MEehMGmDWObu8JwcI3lqteSpzRv9pNJ2DN67ZZ7//HFr22hyC6X9u/7u9wtxU6LVBg6/+9DvrH7iOFnfR/gMT1AnouoeguIWpK8bKDl602o3T+OLndHXq0L3wGpwqTG78JijwjgS76EuWmYOchCfZbRjDBlraD0Vwjz7wOJ1Kr5PebB2xt6tOi13+LwJajEIRiGQCoYW8WJM+HB2671rzhcpmX6BYo4dSV6f8n9CJa+WL1CjcjlcumR8ewvRkejA7u2xzK8v4YW2wk7Rg86jmF3Gc/hLH6CGiFzVgBy2zuYseMQwu2uSt1ROWcZt77wupqUGmpfgQSLBzlL0aljJ9WMO0YBIfgrHZeWzqd3kPqsEK9KosC/c1kWHWwqS6saew1TBJzCRyTC6KTKpa9dJ2cUQtojON8vQRykvvDs/3ELibTPLTc8s2s7TMTuy2Y75LTB6f3R5y/hmKYpZiwvciZZVZ4nRH59wBDyfUgeM6BjSvF+1gfM52phcti0+FtISlfVmn+TxCs5rFHCk90mN1CpjSye6pbIfcUW2cpaLkJ6FAQoGEAhekwNvgKI4b6R/+xPa1QtD8rAiYmS22qWYwk3syaUskH196NG6HCHXZvUNrwfyy+eFNUhrctxwpDWyI6JdNtFaglLKdRoCdHMJY1wHzkwJ3S9N7EWFJ0Qy3OVcwFam6UmzkNRdyaGkI1HH7pj28d4uImB0uuInYajaDeSEmjI0H+NBhQichaRsBcWV+3tZZ1B/I/A8NWpGoiwelVAFlQhd9yY+qvRPBjuAnX925ZV/09JJWAf85zWMIWZrD8gTryiAo1BF9cgtBageN1TKay3VMOPfp44j57RCBocgceMh8IZPG04fuabZoQLhA8EAjNMMaTBrFdgQdjf0QXwrN8IIgaunv5KCP0jTqIoYuMV4FCVlHeySoS2gPJ36ps5XXs849YwVarM4u2Q4CCA6ANgtNFJ1yHzqgfiw9CubX0tpOUTyFtwTPTYS5Rca5gp+ZTGS70fZ9idD79YN7aOXydqOlgMvLgc3Q/xrz7wIC9DwCtDRxDM32EbSXNtYJOoNQzbpMgXHusA77+u5N6+3HN76L54Q2bQZcl9EIHtNORxhzGLdeJ41NZrHDgwP2GULd5wS16UfoTkPrBtYFacxXLcWmrkwzd1l/4G+3SrTLDQSyZdY1W/ghFsHnmPoHeheAV9S75XwMtXD14l0OLfE1tHWf30U47uuzJwzkEQqBFERH9neRMR/cu2ODA4M2/nLMfsYcVOvYw2C2yfuiZ+e3DsJT00iqvQuhPPn9VCjwjgS7iHzHvKh7fJRrfLiTL16xsF90C3NfI3xSoX70UsZ3Ivxd/+8xdu9HRKByWjs+4jqMz9P04QQ/wGhdrC+jgQ9HLOuIOnDB0IH7cKNeo/58hajXyhKVC7ZU34fOLhumVGRnDpv3tXl2UhhjEQG2hXpDLS12nd2dYyYCOQiXH2cLAOozwi2cVWJSXqsctq4q65+uEe6oh3jtOOS4NlD3nUChBgGtAOSCv7KT397bxSRi2UWammVy8aAqAcYxEvB4eQkTbm0d7TmTkEOecwETySwTpjZwU2KcpcmjHLXz4PrarjeYptivM4GBOe+wC7mE0L7JeT3mIO2oNAcwn+kmVPYxgl0l5PJ+L3klVdwWWEyzAfILZjfPMc9Y2kSok0eAp4UEW+WtS3U0Wv5mn+VJSF5H8BRrBTH3Rft6fvmk/s9+5y6JXVI9oUBCgU+MAoGbnAz7FMPzN6J6JQ2Va1CaU12hX9SmmEiz8OpMyfyyYZroh2jqljG/nHk8Zmv4Q6WyLPD7MfcjT13bH+5b5vejJaGOvk7ML6MeT3A7OTmFJJOYry9BThEmmxEamrC8SGu9wL1sY9o60ZSMokn5PYt6RR/sZi5XvjOJPjtH5MHb3rQJBCyZBM6wmJ8n2MUsAsUafoAHipQtaQh260etWbN0lBb0SivaRsCMgb4el96gEWEuRHcUdTbRAq3iYzWBkDBOhEhF4ZxHeFDqg1U0QUUnPIKNFvmA9vCjfoLgFLrVpmwTpvn9nW2kbui1rdYtu97X6ULnu2w4lJ9QCmCCGx0euvKp7SF8KQKmfuV3Njs2Zcto5TTdKIiaE2DYCFVgEgkmmyv4qaFdw0GOGrIBArDr6KQ31416OADeBpqoXQmN4NqGCefQwLD1t5AcHuk/09NvAzfwsyw8cma0Sg2gqNUSztVem7y7O0SOltBL/7kmIk4iNPXhg9dC9MxiK1E10bYWeJb10Puwzgt2DoETCvo1jlZrebRp/TKTJUBLJ+3l/dig5Ir8Kg3SNprUBcxhX6KoeMW7ICFzDh/EWQRwBUE5hA7u4Jkjp0JUsHTvnncUUh8NvAitaAK727qtM8vmRZr0GApUpzIqFHg3r2Eq25NutyX8NJVuwz1lQGnM/kvixJ3rTom87sz/4+/683Kqxyolpx8lBd6RYKe3uaQ94Stv5kPpQKXex06YPlz32peYbBlVw5vIWxhOVa6XUh+DY0FZTNFQtZuEO76a4x0MPbfZ92EnQy+7hK965QghypQw2Gen6gBb9bAoFjwd4r9lx8mbHwp0I5yHmog70ubwJ1X4Bn2LEW6wS9PIxNAH81RulG5MLRpxiA6JJh1TCyAu8etREg468zQNzU/QDTeu8FsNRrV7VwBd1kQwtVNZyOagDTSS7biczt3Q4jQu9R5unULG6xE1Vci3YZ+395hn3chuVopFwjGMvUHCvus96BxjqAS4sVtlp7H+FBhmB4a8jJnHPhfamZXpZX9Pu8O/Exv+HGaa/i0vg3L1C728slfdZCdynN3RHyZt4+WM1a/JE8EvFfQWaPwHvIMNRNtqvjdg2Xv41nVhFKoAZJguRYdqJ0dCgYQCCQXegALii4F3xnhkVYhn1XPtvMCXhvH7lAYs5BHqdslTt/Ldc1v9+aXt4592hGqivg/+ilBX+AtC3Tc3SWlQ0tRJzSfVxakjIBYQKK8QiZoljQgWNb/77K49ILx8C1o4BUiRxq6JeamXoCQDXZ3Whx99Y513qNjDJHIWrdDj8QlndjkxM29H0vCRT69roM8OkJLWWQco8IYnVsCnnHQSKnMEL2nLw7vTOQQjYaZtVKxQ+FcCgiJO/uOXx4TFRxuGWWiL+rjez2Y2/u5siG6vbJxovspHGb+Sro5Nb/56EBK+xaxwGKF1DxPP7o52u9WPbxfwFPmgJHrHG5efMxSX3BtYWvBIsHMi1a585v2hDW/B0uNpkBCrTVD+GlSfKvGn4s5PbtC7HqeEH93jT0FrsjyTNOH85RgRBHIuqIYLhhZvPA9V1+Ga0d7d51qBb+qhcT2bvtrplKuGopbWYdXj3wO1Ckf0nLQk1VWaNWoL/pRt6SZaS4fqLZcUF0CbuxNoZ3/GH/DHR88Q6tYti4DWhP9df1vB+b6t8w4rEM+pw3XFKhZctZ5No8nMMUbePnetYglvmuulHcyS/kAaQm06qL5rzrk/wuh9m3C3VHhCm/h1ZR2V6V4EydeuVs+XJP/+VijwjgS70ksIFcS4lAOsv5MPnI+yb7Nb7MEffEl6qfRBlR28WbqlenrJwkvt7pFYNIO5BNzR+VhpMV/EF6meBb0EP/nApTBlaMY2voGF8q4EO3aZ6sQMYm+s+Mipo9TvSbWTOr6tLoswiQOY2BowJ2cWbA9ziRv9OPnCCB7ikPwZ+VF6urqcOYU+0Ljm61R/VW6c9F1Rdtb9imof3KXHWz5w2oVqxrQFwQuGu84OnROuSw9ftHV1Hc1jo42denUsgg30P2gk0C87rMc4T6frYdpENztGs5bGxCSy0PE7mRHci5FH753+lrBlf0FErQ2Flh7owV+/gPnMqN3DzKOHPD2N+Fhq6vC13cmb/SOCKBLmzJYVny/Y1lM0dix8MERx30DoSdNMOkWIbAIKpG/3m40Q8rsdCiu8nD6WU6z6zdBKWicUSCjwiVMgzoevSgrYkxb9MmtLbcGnSWkg88u1H57b2k/jdjiBTx1rhNxgq+Ue3LD2b/EF+7M0dZiZF0BA5pcn/M1NFBWYBCQry8J9X72eRbMSgn+DqeX/9tVXBMTAzM1JF+DHwll+cCnmmLBHpoBfClYxqciLRG5UZMgVUhb0o9Hr7yGYVjcBQqj/+ulEyS+tJGzEsBMGftEOm6YPBefIogn0G84SfurRBB3Z66Ul+we+dH/7nsAua5vWPzrMhniPCwQi37aJp+M+9sc5PF79CXaabcAWTAm7h0fsy8FBEGNNwgZlhjlYvtoSxjS+aocjdalAFlBOMII2SqrdzOa6hB9t2iuStuQNQWlgDFlgDhIAphvhOYUwpY1IP0fquZQ/G9eGVWg6gwCFcKwpUIFE5lcWbaULd5ZMvS2trtjCwoLX6NFRmg3VDHOvksILmtItpLCV1f1dNmL3dpX4fcOlIdBaUPlo11YIOIIvnxdQhQ/4MkD1r79wONce92wYp0sCLioo0oD+RXhnvfmUqKj/9eMvRAcdI9plvY1irjtM8JsUG9eraOwm02MEUwkQ479eoHN3JNyhmAjWRQGH+LXO3QpGv1XhCauqBfFOzz0PfZ9bManwm6HAOxPsPAX0YoqRobVrwvyAXZNuBDD3oZeEuvBi+pcresXc6xo4C++vK+GfIz507ZRJ/a+jocDOUAusyUkJlPNRSnBIsePjPslWbMnZYdJiP4BTO30SlUf8E4kwUS1f4j4jVvJbXM+S42z61Wurxw/gzuiI3cYmf7j/mvWTpLQJZuf3huIQK3u76HU5JgGXi7b+MOpJ5PaTWSv0yWA6qbDCnuGHEfknEtub8qiH4Z+QElGZZ6w8egeY00jkkXCVbiW/S/u+NQA3CHb+7Stn3OfRQ91ou2GfIC8NRNJ6QSSwLBq7m/fv2IORGzbKzty1QgvaOp+uXIw36ucEyfO6qVLOQGWGucxO34s5OyZgytHrdatb23UTsN5d7Y6yRcGOZNYaCSiQvdlrDddZ9HQ04fFNjUCrKtCTWwkFEgokFDhNgbOYhudll+ZoZeB8a7dY5lQWlGkiLGY34K1zG7ZH8vGlH57ZHCkN9mZWLI/VRXN3ixXuDVvLtw8s98dRa5BPXQu8LU1jAYLbVj9ql/ktZN9W80Ma4a4FjUg364Q++Km3g9AcFOBL2PKaNPHdfcz+5jERfUb+uqmpBTYU4f9ELGzESqcOrdoBJoAKwMIa3IEI2ARo3HWLc80Xmq+iuAC+pvqSSeIMbh1P6ePV6wVcTtAXsZnYhOCoXLLKYaa0Cv7wqxlhXH5ED0BnEn2UnieHKV89QkiYJOSb5YQG11gYnT4CbFkeNTNnK09fDiEYSc4GhknCfnfE+Yk145OmADQSjlMIdjmI0EX4/yGCz8hfcEMZ3KsenhZKvdBO4JgCwvYqArOifz765QkuFhlbRxs2ReCyF2gxN8kdrAimrUQrbaVuGkFXI5JvYhM45PFR28bHbxtf/jEC2vVBN0W1nkaT+pyImWvEQyhKkygSRmRyp/7SPwuVC26wxlGZSkSxTcxFJ0iB9PTZuMvjV0DzmeMdaGRdo9yHzjyUtaiHpLUKbcHBXwPEHX7F4PrkZfR9q6BEceinDRDFClBZVO4aJ/8kFDiXAu9QsNNL6pmP/tXuVArzxKNG/5r6V1ivu/9oqr28vlQvdlQqBbwEArEK//EhRMFrxJrCx6MPUAEtXO8IWfqsPCYnnw61r3IoGiHMG+fpesw7MyS37GpFUzc6jKbulrXnmtitSsFI40zzKv2oTTTmCEJE0+iezgKldF6tXRi9ynWUGIi/eKN/1XO1HqsB1VPJMQFk0LSJnUVYlOMfGGqAoSnWH74n7ZxJBhKV9avRaZewgUmkIaNSjfCiWFH55PAM+ACoq/i5yX9TBr39OG/LifrzW6PWiYlHI7D14YQewu8JmEudlFpriApxtrhlRyTmPUSwS81v4H+hXVf/hJ2VJudptJT5232WvnPdrIew3ywAPDKBTpdCIKmcUCChwCdJgVqcS2VX5Sd+YRtIKvekLBN2lk3dzMaeNRD9cv/RFNEvn9vyowmCjyyxYUtkzDtt+AuTfPwv96zxm1Gru0mUX6epA4+q5pehhwv+xofjzkEMk75IqBOc0zTRfCLzw22sTDbQoum3DiFpCTO8F0RqlOZlbvy10zQJrPyfFYpeuetksnjSLYv1Suj+2v+rgBvbO1u2pjQGWKAc1efoYw2h5JVb6M+Nk58NvzW5ghyz4PH58ZSPjSAqpyBrLP4QdD+zacb1awG/garyaBbW1ekDwRBBrhsB8zraSQVQ2ca/7Qh/Q/mabSAoFRFqnbCKYJdnsBmESGngUgjOyDQxzDwmfpNdwovmbYxNMH+9TsCUVz0dTnBaIlDMDz8/JufcjrWT0mBxbt7GEHY3CWDWjLA31NdrA/jANbGOkAltnjm5l/QHvV2tto0v4iYBYp6QEkGayG7MWVfRAL5EMFzh2R1CY0dtuT1UGborKyOCvxPuH2rM+Dyqj909tpXREM7MLTgrol0EyhksfLQJILWqhDrhoOfjdYv+KUTgT96M6NbJmXoMfyc3K07cmxm7F7CM3So7rezvvPpljZOL3xAF3qFgJyrEGQkbPY4wEaOrfM3Oolu8nkw7tdAP2h4xFL3eQfhTXd+Dr6Hy8Pp6OPo33OH0kocLiwyjKMJAetphdl3tNoJfXVcO0zgwIbSKY3JVuUZZX57Bnl+vrFHsogpXipVGp6Gf6I6n2EXbx9tF557O0fXFzvz74CYBGvjnoZZ6Hv65VD6Z6G1RPd9C05jeJU1mmhjURoxT9yQUBhgRfApKRygL1/Hf8E4pWeguZp1HOLH3Y07SyG7gTSa1TnYW9YyV1FV29zpq9xaHXuNciLKTTU4QO54jOe/TGdt7OW+NGxJblTbDb0wogtg2O5aNQ+TYu4tfHf51LhIm5sH+0O+bPdcSoOQnoUBCgU+IAoFXBk7y1oYOYLeAR6jLreOlNEM0wydT5Kl7ignmuB0Qpj6D5Hfc12J5Uhq0/uvnllNKg2E2rApgQRCVanZobwvfWuONl8ncL4PWzPlzI4hskDD6+ZNxm3zlA4gcEQnRJavGReSYurukCNgs7pIcXMlzKg6HvP7xo9Acov/kV5VLsWnHfJNG+6T0UGNPxmyKvGgUWR3X+whRKfA4QnhSwLZt+lXiczdPOoRLlCn9lPdcfS2gZjL1c7/lDdyVApNdY/67OzJoS4pu/mrSpiembQ7tYgO4KBCIIMuMtRlrqgG0Vw8xU80h2DUTGKQOjV80T/oO6ogS6X0Aj62TQHN3CFgzS3CYBUwoZ/AhnBR8BLwMMPZxiSiSvFtarF7m4wejWM6QBqCFNZf6lF/kUH+P3eLeOqaQC2hW5SYzz3mWQCopkqXr2RxiTutILlq60VYZbIxujpylKhLJdS3tZWOOqKVoJOsx7VTevp/++ciy2Wf4FfIcEPYU4K8es9AjxrgN7ltY/9RlKoU6D7ieOmfRPcIuhskJfrF7jvrlb5lKT6pyHq8dwU3OPlYKvGPBTmTzL1y0Q+RfMr10F3/ZymuLiQX7d/XgP7nwGodflUSHf9Gjlz/S4UV1dHYeTmkYSQ5G1o0WRz5jTTC2fpySc7TE66vUPvyWwz59FeFzuuysO1dpcxas2vcDJTUaMTZtcpUG6M6Fif5it2sC9LRVC00Dp3cvA9cNLNA/dY+FP/fgw/Sk9yB+v/LZVV7XRI5C70jOBAvzzmJe00UQnHYiaeVh4t1EMvNCnbC/6PM9r8dSudTP29BljmTkE/O284odwKl1+mMSp0jj1c5fkQVDXUfO0kOdVn+7x+wGSYIKfAmSlJMjoUBCgYQCb0SBwDE9z30jUICQsCDWlMGEMK0AZwubtvOcaIo/vrBVNHVFzA0z22jqBjBtx/yyDU1d7k83zeXjlFCnzOXBrr4CGWF6WSwFSi4bLnjFifYsjFkdVIeqrWQJNz34Ug0hsCxirbOHueA6If53iJKcR3PUQQqDAsLFHqaA8utfx2xwdn7GWlqwUsIUUQpHt05x/RI6vzT/xXtvwKSwi6AtQ6ODtoAQsoegsw68LeDlEV6UtFt543bodwv462jzpmZfW3tbMxgiNDvTPWZP+qhXP/RZfYEXeo0oqDnGzWslvy9tlDpzQO5n8JO71tZhD0eGXGonBWCZAjcFctknAuSxxoegmUfgqWPOrCMNUBNzZqMsaKSyE+wSvWXmqPfCmW3SRw7MM6QOGCFq5SJRN5fxkS+imVwA9iqRNY/QlDbQfwuJyvvJIfjw7qh9duumDUljhxAsvOX6MjxwzZbwhd8g8rY0pnO4UawAL8t4ehA05Qcpl5zdtS1eHPcw3NPWWsONHRNXYRr82nTPXVOuQ+tX3csjTN4gkM1N/Oy3WAfOLK2T6gANK5J3c3OjdeGqofXCCsLlYd2hM9+dWZwiqF4fzwUHIoFz41e/nOheCQfRxZW5/oRPCSf3q3NhhPaPenUlfLlx5uEpf2ZxUvARU6D6d/9OBszH5A7/uoXF+/ld6XPSobfeHx5CgKfyqMzXCGWlBqWf8hf9dJ3y8vK2/koO1SSqLLSyS9SMuQVMCabTKNMD99mdhlkNir93mbpnQ3mTEs8qymnnrxzLcVQV23HmrzDLwGbUp7D3JpHyJlRJKK09rvJnV4l9+bOMnkcEM7rnGW85hFBaPqbyOrWuNEY2DZiMOkkU28bOqd6teoKzZIm+6YWsStiV17XgV5aBr9SEUsyt7tnRC4LxEExgj0SkKWKkybndY1Qy62H3Mnet3ZpH+iw1RMCUNmyQFbM6DLsMvG5Wxy3crdqsDEZykVAgocBvgQK1vuXwvb+3cdCh/OkUyymDOXsW4S01j5XLixlbJ/Ll/JOXLu9bI9JOy7Vma79/3dr+KKHuttWJr5GO0/nUhZVuGR8LI/XzzekxqVx/GrUfua4yuILI5K8bny0JLF1EimzGhM8bO6hegBvacqt0V3NbDtPCQRJJf/X5PSISs8hn428BwUqCQDsC182R63aN8PiraLRePXtpKTQ3OwT8OCCiZb7+0Dq06EcAk/DWwbySQ6sjh4Sgy5JQlcPk8QbC4e/I4XbAHKTIjgukO5DjXiumkDcRKoeGbmC6umhjj58TKIxUPJgB7tNvFgGhA+1Ud1sTgiRu1wgXTcKz1Ec0wjBOPz7N4mxlkqic8PsILV34DWYgirRoeTatpSmUJ5twvtt/HR8yBC2E3EekrnrtBE9cB+Q3mYW+aNNGBvoJMHbbvhkdcZFF81iYHCEIKvJoBzA3GEcLEdLbEebklSPrl0bGeR2h7Yvbo7bPeirLJuoYppPLpMiS4JjGn/0a0ag/uzVsv8Pl5f6N69bViNsLz1SjkVlsFqGyrbvL+ocHbBVN5gGawy1+m5nHRx6MIHQ1uzQE60QzJWO423DQ/Kr+s0jArZh4auz19NdFRPUC871caoLFl4R7UbMFH8Pbo8OkW0ITSx/p7JRt4Bco09NenvXt28PkKeywl6TtmH+NrzxRTrcW5u0Y/8QCY+vCN3BLPoLQoRVNYhMERp9IGW49xKHoIbJmGrjtaGybeAfyLA4KPA/Rrhu3H+WS0LNtJliMf7bhOV7kV9Ty38RFaid1frsUeI+C3VWJpEW9Fvzv+4hYYbxn7ZooRG0jjN3rbcQk3vRjCeOLBJh4n/481PFXSk8ZHX4vJ7o+78y31Wdefvg+JNxobLKcV6B9YkK6JJvH4vI6YDhFtFoYR7g/CX5ikorAFT2ruFarHHcvFjpIF/gnGudpfKs1D8/CC6ehhm8bwQr3K39VT47tSm2ANOeKAyQx9wj3i2FTCf/UtcK4QuDjeXIiPp62lWevbZ+8ddqDFRMOPTqjTHYom4e7rfnBgNUTPMVaaSsUT1CJxlf97Y16P2kS3UrOEgokFPgYKBBY4KU/8tDwckSo5DXi9op1omAo6R0W5ktbdjg2a2vfo6n7acw2SRItE8XUdVIa3B2ylj/hU/cHfOoU/bIFhiap0Kk2quGh3uJ4apDhr1p9PyO1sxj+6vaIEwI2iGyodAa3EIgaCehWfsRh+xKNJ8uCupcAH18MD2JemLVhhLxlfKokuSGq/gAAQABJREFUe7awWL9O3rROBBv5X00rrRPC2HXgX6dfzD/s6IsHJNpuIRJjnY0A4xpapEYaC7bfvNOGIn0ggHwxMuxyqSmP2jLw1IkiUF4n910vbh8ba2t2CxcQCR3X8De7RmCTOoTWgy/vYwaJmT6mNcOYTV5HkMzTgZ+/wtx8enyinoSFb+6MOgFlm5xw0oiNoH1qRKgQhRT4vxeBxwavW4GomDd7e2yWSJNbRJw8QnhPZQhqQlAxuaaMXusnkGknwoc0ajxLbHGVXuF//Pn3Nj98w5oQqu/fIkdgXqH+JdyBI0m/h4kmrlRV0rBNYZq5Qo7AA7S9GQQ/+fiNAHeY8ffid9fEZquEMv23Sv7g75+N2X89e0EqAvIJAm/o1rA143fXyjNpI73SDlpPCUyK7KkUDCmEaJd0njVLhvF8iRYwj//cFkKatG53eL4FhNJghSXhXvE9Cwi1I+CZ4Tm28azuEVBti/dJG/zt4H0DwbaAEHeL8/nhBTSNeRsgYbqeUQ5ta92ffmcLCOiiwQOeURcCMZn2oFer/bffPyQ4G8+Vd/LWnWHcewhaQ9kgY/9vv/vM1dGzuoXQ3ONScYRny80LH4KQHB87Bd6jYPcmL5QWrGKB4dB1OOLn4d75v8ImsLizMVONUOr7lwilj1wl0YJf/V0FjwAh9BLGWBuWx1t1a9cTVufXCZTwfUuU2Gd029jyrxIBahPGuoraf5EJRrtndQh1h5h8bGL2MEWUqQw7V3lNPExezezwaefPx6rS2CTchTF5bPy/Z+F+9njCU4hDOX0enmj0bMvrVPYbcAv9enx9XxEsD0PXKrmsEF2OQdmVQLJ7aKuYs8ys286zBdscX7KGJdI2lCoKM0X+1ISU7s9bo7R17HBbL5NsFnzSAc/w6xvqHT3ruBgtz2qd3E8okFDgg6QAn3z4tt3Xr3/CjaoI16rgIFRtdd5NmQAqpUFm+8BSCHXFsXlb//GlrfJ38GzecswZqQE0Nw9v4FP3wPJ/umP1gwh1rfDjtAJPqG9xPv3G8YgPJtzXvfh9LsvaeeGpE8Hlj2iS7g8NueiVihIpAUW53PwR4JUuSz9+Qe8vWhBUGkme3YuA9tXNm1ZU8m2EqBTCT4aNXkVpLPYU7eDGoMPI38OWByFv8PcF23v40KGaY55sQiMj/3D5menwmiGEB6wysqTS6SEQ21fDw/jUoSlieEobkEUwUT7Yw44u+/3168DF74/AWRkEAY1i4OuvbF99MP4sfchsMMvcrI1nP0rfl/qLHxpjGwLIX+7fs89HRj196KsFAVYCi8ol4KDPIodwwbpJX/Xw2nUX2foA9aAoJxzT1JX1kvDMkaNNi0uFj0lR+KC/DwGlnaiUzGYIsMJNdCDWJ1A9fq2M405ntw0W2u0A+h7wDhWhnSJuSpBqpH4OYUviouimcSmg2BqmqT89fmp//dv3tkRQk06Ev4df9thNCZEIWdLcTeOvt4mgqCOHkKUonzmsXaQta+LZtaIt/OLGAKafvLfQOI9mTlrVBoefa8Y5Uy7U6EDT1kzS9BsIr7toMI9kvsq6SMKi8u/p915bpxXvoakGb/lm6rnduI62DzNVReaUgN9EMMGs0jyAQ76TaNt//MYOvvLhdnK8H0qUrv4zaJm7vvna9r7QswV/7jfp2dLOryCrP1dXOfnnk6TAexTs4vStzkTjNcK5PvkQCVM5SMRktLOlFxpecu7he/I19fojk7jDnQNDnFal2r0JzNXXqP1v6FsQhJ8U9UcwoXD4D87jyDdcwtW3Cm1VN34e2r7tXz/KWlADFhoHQh07YK9ghC9nZ21qiUTZhPh6Nkv4fXamNMEoCtjC5Jz97b/+ZhPZvLU3sYPHbuIwu4ddJHcVIxbE6kJdLTyql3mq6j0oxS/D7ERPTSaT3pTlfMbmYXiBXI9Jb5KfkjymUc964+LvVmhZqkH1INr5vuPPsBYeYQGhOhG9bYdrdhmPn8zY4Tghrhc2YNia7PyhiUu4pklm2zjYY9khfOuut7AIYlmg7U4HyuNYapL8JBRIKJBQ4IIU8LwjcKTKRvH7Z3GZwIIUJEV8Kwujzm6x6MSnbvf5LD51RL/86YXtj89banPfmnry1nR7EJ+6h16oG5WmjqVIioaYLUocqH6cdV+1hUX1cq0ZlDeuK4M5JH+hrrfAqN5GEHWoreBqoSQRRyadChByzM6bp028X+qygCf8t5qWDu7Rdx15Vw3zQR2+R3F1jdUfgqL1h+in9U2z8HS4qryiD/pHtaaC0uEhtuawYUVBqMPfEfxa8TJdVaBjSknP3eRh018YWZglfa0SbtRrZg1A1JRwO1bf96reNTZ/pREhaFK/tRC1Cfh5GnrYGj8hSRi35jaJvX4cfr6NYHu8XDH9MAtLqEKglLC0j4/eyuy8vUCgXXk1Yw0IvspBuIwfnPzelOaio6PFetDkKQdfBj84+c63ZAjEwl90qL/o+ei+cNVoZNEjAbagPj2aKi4dJTxZF0HU2MF9aNBRRoMwJtYArJlaSFqP7aU7fIn+LaLZrbdWNLamPw5fdrFn6xok/3xyFBC/ek9HeIkv2p0XjfaovsYuzxIRChWuNsWifhAb5p689o90iIkE9uBunPzj94G063Nom0QnUqLpTZJX7iHdHfrGztGWDRZsrBtRghAMBRbuGW4lTC3I1cgLB6GTbZjiKpGp1hCGdtFuySxBgo+chdnIw06diQAmJWfiPDt+gipKVEIP8M7+Df2frnE+LE1PopPwF5xwxDHRfQ+pCHM8IKTxFsxwc3GZYI3sajGum5iYdLJ7pFwyPdi0F4k6tZHassxuk+1illDELOO4id0oxuxpFfqp/A0Mszbm/o0J78GRrR0XbZEoVGuYVcguXjtmXexsalS1IfmntsNO8fYOju2EKN7CB0IhqbXVGCiijWLn5M2zk5mHDk2/7qCwnglVEckaMXspMAlo+tZeqer6WpX09U3P/FfxkAkqYBPLZo8nrW5yxTJEjpNZq95pmZRs81eE3m3DHZgtXbOGwW4WQXB/8jnKRCc5EgokFEgo4CgAO4ntLZ7PFM8hW4nzVa0V5lzPgbzgo/zhWflbbaOlmcWM7tk0ppcvbP7n57Y0NcvCtmhtQ03WdhsfKbR0TlM3QkqDZniZciKcaX5ZDYU4dvHzanVFCmEa5p3qdc67G4Q81Tu/x7Oh1Wrry8KMdDaM80pq9VGtbTQLViv19y6LW6361fCrVr9avQhDv7Uq7ZtMY2/jf6j11xqBU6afjNvM8Uu32DpE8NM8X4/Q3dPRTL0BuzU4YN34JBKssrShf/F3I9CqNm4Rlmed1Wp/1bKz+kruf1oUeI+C3WUIG+m7dmHG4zgQ/+PFuD16+hw76CP73//1D6jOb4fNqZqAJdxtkw9ldmnFnk/PYoO9wMJ+zyV6dhobOd6ycL6NPfsf792xbL6VhbpfoFf7uKKltHzQjmwFIeHx1Gt7PjNLeN0NOyQqk8SaDIvuPDtbXZht3EDNfhPb9ExbxgkCNRE+ETMqa4WJKUypwtHjWV6z8p6Yn44wmnh5uBfK5Uat6E4kk4cZ5hBgRojKtc9qYVvml+x87YKGxteMLbycgbUHp2TdnTg8K8loBuFVeAXm53EU/HDEGajGFMch1Am/wtULwlsI58/IZ/OP52P2AsftDsw2/te//MEKI8PuPagFSWUycNjYWLdxnv84O3qzElqVg4f7LkiWGD9jlhYwI8GOP90XiZVgVCGbG6BHE1G/usm5c4Pwz9pcaAN90Swc0Vm4E37DZF2qoRCjMsNkB/uIKJg7T6fNWAzh+u5oqpFrU0OC3QF56wqjndZAOHCcQ9j5DdvFgqXRJUdCgYQCCQWgwFtiCY5LBdbiLqpTNxRJLsuxE9W4ifnZIsnHn0/b2j+f2sYPaOoIPX+kkO/tmN/dH7COv3xu+T9ifqlAKQVmE0mEUve5uU+/gqo/nQckOE2OhAInFPBrA/3bjmnoF0TsLLI2lGntGHP5IlYwO9usHjWXc51Bg9aFlu7WzQH74xf37ItbQ/hMtuA6ovnbqwBOQCcnCQV+4xT4QAU7T1UnOKE5+mXytf2/P/xkv/zywjqwh75/bwRH6Jss6IV+mFoqn4T/8MO0oDX0Dqv0FbRRY0w0i2ibpIk60kKeD3+LvGXDOOdqsS5Vu7RbahsJKIJfWulzdoDAuYGm7vXCon1PAtEfxl66vC5HxX0rsIPUQzSm/i7U/QApgor6kVFEdYzDoj9oA4Pwpj4rD49VHJfKGudfizbqM8AKLbx+KoeZR7YtbZ1tbTBGv08pIbjIeaC2fqWRVKkEG5my+v0zwQrjqTzXdfwI0OL3/Lkw06Ff3LNtCY3ozxO8B989shckH5Vj+P37t+zh0Q0f6KRUN0AMzy2wbMERVgeMYZuLBYT7CXaRl0kyu4c/YQ4zh67ONsxK2VHG9yLtzEkxTaXuATlwtqXlI5Hu/qspKxAFbYSQx18MXrPRnh5n3iPNnfpWPwEHTs84qCF1IUKdKW8dKQ52Xy9aenPXWW/4CKsSRkl0K7OfG01WN4oJ5mgfCckx10jHewg96jc5EgokFPjkKRBnD1cghpoHY4CIq4SzCuDclkyWwjVOgVJSBH7afUFSaKU0+HnM9l7MWWbrwDquoR25c906/kyglH+5a/W32KBS8CelNLhy8nGH6RVGmDT5bVPAr+00Br0BTQRXGenpZc5msxnzqz42mGdwJZGF1pEmcObyJrRzPVh63Rm+hh/hTZeXtoXNYfmy+xWOoCVHQoGPgwIfoGCnOEreGHL9cM8ml5bsR7R1Pz4aswXCwDd0tdoawt46f83YrMtwUlNO+XQTXeksI9vxbtx/+eCPiTA0vbFjyxNTmOOhuWOX5wgzzRYiIM6SO0WRoNLYQhM7CZgnhngnT1t96W8Hx+kZtIBPX0/b81evbew1GjsW/o3SAPb1WUdfp31+/64NdLRbJ7bcrZh5SmDUUc5IIiEoGPSpjvrQEY3EX5f/G7WN7kf3PAxv1heVV56FnqL76tOLttI8Rky0NjLqV7DUOmB9GjaFpSPUCdeVvxKsZY6IacUBQhj28T8SRvrxs3FbXll15q3r25jWoo1twrfAa1mFwelnJsh6TwqkqRhIY1FPRLQivoDPgTk9u2C75CXq6jsif9Cwi0alKFYFom7pOSlQzMbuDqGdF+ynJy/sKUKl3psXONFvfY3j/+8a8BnpxkyTnD20qDaqQJWTEUppKd+62XU7fDZluxMLViTIQIbRSt8pKBKkj7TT2Jm3DAFTMqO9+NYh1Clvnftqo+ccvS0nPSQnCQUSCnzEFKjGZ97GcB3cWmy71IkzW4cFKXVAml3TRswv0/jUFcfmbAWhbhrzy52pecsQuCLfim8R5pcd335hTf963xrkU9eGps4JdWKGlR3qOmxyen7o5xR/36MgTONUqIThayX/fswU8POtZuoWgs7cJKhMG9q7u8Mjtobl1K4Cu/BaaAWTwsJILjGdBEXpZhNX0S39XBufRz9mWiVj+5Qo8KsLdoEdBxata2m25Lv2ChPM7x4/s2cs6JcRonYQ5vaLBedjtUwkpHaci5uIvuRZfOUHqgW+PmkWxzg8F3CitWyTrdNBUx6vVgQ6Od3q2Cf64wo5aRbpT/5bjYRcVo4Vb2IXMHRV3RRECkwEil3M+VZsEhPMJXz/1rd2bQ+tjswXO9qbbYRAIrdImtnfhLqfpvqTCWP5UYlzeWn1q0Cp6qWn7wp/3yYaie+3GqSoToB0WRxPQwiQ/G+1Xstr6EpQlG5hC7+6CXbfvn/23J698LltdgnHvIMZ5SrJYdcwFW1FcM+zWydB7DR04e91iY0Ia22YNRYRBKfw2dSxjZBfRFDLEK76+rVuuz86QmySVmtBoBWsQ/7Te9fGjt8igv+j5+O2hBnnPv124W842t1DjhmSl5NTTu+bf8Y1aKaifSBvoC2eIFz0L69ti0S9vFAUaNRe14jhEn6gRAPrQ4t494Y13kaw68CrT5EwndkSVZMjoUBCgYQCZ7Hc08zwYrSinRbE5Uc5MEV6zCCT5ZTSAI1cw/yGFZ/P2eZPRL8kV93663n2rtgwHchbx8g1a/vTfcv/4Q5CHT7CbczFUvEFtWB5Rxe4Ei5xfCJko7PyGhcAmlT5zVDAz+l+vvSCm4S7ZgKM5fjraWHjlmveMHeEN0W+8IruKS2dT2NQY54utU1+Egr8FinwzgU7MdrwYZUTKKYJcvoJX09Lc4XbX8Ok8cX0nH3/ZMwmZxdtj50/TTb77MKsYDapYCV7aF0aEe70wZ7uJ/TqNVZacOtTr8NXS35UOYJ/pNNNbkfxQH5kCAsLhO9fJiRue3OBKE6BbZRjzXLcdsBtjiAes+sE8kAokKAn51xFv8oRNniwt9eGyJ3ShXYoz2Jf+MmOu1zwqM1UvFAar+P1fGFU5VhVvyqvG4fl64dJMNQL19Wh6W54Zqdhnd3Gl5x+PvEW1eDWORPMZej7dHrGfiCp7Rxmr7ukXHBmoQh2K9vbtoyA1oMfo0Ihe6FKsMrx8/ov7e5ppAqmQ2JX7O93EdgOlcKBuy3NORvsJu8QIZm7eGIKjBLaFUim2oCpx7WBeStgXntM4lSlg1hcW7dphPtbvD/dhKhWEJ5qR6CvK1PAlB2osbxv+y8WbfUxGrvZVXzrfDJU1RH27q0lulruGkFTHgxa/QgLolamJKU3uPKCyGGQ/JNQIKHAx0KB85n21UYqpnUW0+a+NHYZBUqRUIc5+f6zGVv9/rmt/jBmu6/mcZvD1qKbRNz3rlv7t5+Tq+6+1UtTF8wv3eZUHPnAJaN74Y5HJNzX3agkPjhfQ/9GZ9Vrxlsl579NCmiW9Juvwl/PWXnmNAVri1fCW3DD4NSVaz7368B4iUqTI6HAx0WBdy7YnUUumcx5QaF8ES7DjI3irk0uzBNqf5kFNBMEQtMRGhQFsTgkosU22jJparYR8pr5ZL3QVK2nYJYnsz7a7e/YxirmnFRt62xF+5GzDUz51oj8uIfv3SIL9uXNDRugD0WdVT1NEfHJYY+yKUwux6dmyLNCtEj8so5m5l2SSjnvNuFf148Z5jWCbDQRlEURDiP8yscK6JPDT0Xh0vv3hav4b3m9eEn1c4+7RKGzj8oxnl1TJWePoXa780rjcOsxSkS4P9jGBHOebACr7P4WTdGtlCT9GOFI+XN2SL+wgTnmHudqLaYu5h0/NH4/Pi9Yawtgc2sDLSswFZGSCnkEtza0b+0I5a0YaGSpk+FPbfVHOlOSrWJuRHhjpdw4km+mdhkIHqMQyxLqFQtF/ZxLS/nWrRJlYHwZM8wF23u1ZIdzJE+lZRBJtdNYV0+glh6wGewlyAD+KH0KZU0nfmaiRnIkFEgo8ElTAFYi/hT+jWhRMmM8lxlFLaqeeeAnRY6/wuiCUJfC/LIeoW6H6JdL3z9FUzduBy/nrWFt31p7sWK4c8Pavr1vzf9yD586aepgXjK/VKQVdwhB/Z19hNIKVGigO6FU7c+HpVrJ8TFRwL9HehOUAEuH3gKtt/wRfkuX3I/eo7A2DGXJb0KBj4cC71yw85qnQLDA0Muv/ZLbf3IKlDG/umrPMHnbQCPWhc9bO9qxhdVNO1Q6ARbVO1ukLtjec4t7fboy3fSfdYAbPl/9+g9Ygt0apnTzc4tOudaPRq2+OW9zy+s2S4CKPTRDq8p1gqBQVD9EA1EmFr/YlqB17DRzK5ubBEmZtyW0R40kwuxC86cEldsb21aHFqeRxJHdCHUdhSYiLgV2o2mofOzCO+wbefbj/QqjSdr3HEZ01V9Bka7PZ4HzUAJ7030dgVq+NP6vL/d3PC3jpV6Uit8pH2O85Ow+VMu3Uy5AHep1B63aLAL3xBg+bWjmuvCLayXq6BImuHv4XuoZbfIObOyQtgD66x1QHx6CoESH79vv7h3gGylNm/w1t/a3rYFnXyAQS1tbC07YwU+utDACmoQs3jSin+7i20ckTd7DYzYBsnlMjFqbrberg2A5aPQQOtVP6Etj0jj8tXABM91gl9sW1uz48Ws7YkHUMLvpetGHqGISRhDkh0SvSoJ6p8/SLmAKeeuUB+nka1XN5EgokFDgk6YAzMWbTJ7BDyLmc2EynQHJGQnUs6GWgX05TR3JxzNza6Q0QFP3wzOb/Qlt3fQC0YRJaXCtyTru9hMo5aE1/9t9q7vdiW8w/E+NXaAUz+/LkTrds7/jB6FzfxYGFa+v8/h1OeTk6uOnQFhfhbfDjzisBqq9b7XKPn56JSP8uClwslR8N8MMH0+Armt9ZFpkR1okCRpSoivS5CZhkecIavFqbNKOEZpujw6j4DiwSQSyfXzYiiyM1zGXXGFx7szy8oIlPV8EO/Sm3yDESMOztr7uBDIl0O4hoXaqucn2ERRTaNYOCNO8tr6FwLjtwvt7oUsLfIlEMg81W0SbN4kGaYt8bTnaNhEURYFclL/tSEId5oDNhUZrI0hLDjNMEVfCUzmzEVb+0FQksdOZFnJeZJbWtZ+iqk1UAZLKdB6vE8q4zaErKXcUuTLjoHqa+7KoXXkrlV70qHy25e0ChuV3K6/CMwv39SRlglkkOM6eLczO2etXCD/NjYQpHnTC1fTikhUxn5QJ5ZpMYTfZMT6Qgaxgxd+DAFO/Ea5Fnvfy6oa9JmjKJn5tdTzDpraCS1qaIoCO6K8UCKKtoB1wvYxQ98vr1/aSiJi7G5vIWGnrR+N7c6DfBkmT0YGQ55+1n0A8df3YyujgzDCBOrdhR09eEWhg3rIr3rfOf4h1bB7gbqcQo8OtVrh/w+puDbDTjf5YDzM5EgokFPjkKOD5SRBsKoYvBh4qVBRd6TLAqpgYdJk+JIWPM7+Upm7N9kjRsv6Pp7byE+aX08zPzN3WnbMs0S/bEeryf75ldS6lAdwtzRYZyaCDGXmYFcNs53FVL2FAvobfYgtm9NVGJIQ90qFlqKXr5PiUKVBNoBM9ovVAnDp6iyrfmWr34m2S84QCHyIF/HrynWBW/eOJPqog3KmeZ++b2OW/IgT91OyM7RLQpK+nw4bJ/zbNYrqlMGbbCF6ox2yDACeraM72SEbpBaHA0s/qky4U3RA4K0urlsZ8sp8FeQbhbFPBUgi8sYPQuKrk12jedpjAvLW2GIPO0RJigreAIDGNgCnzu14iIR7wu01OtF20fQ1Ew2xEA9iKUJdH2yKPr8igshqD8biib7I1hMlVzAoVdl/h+F3tSg7jqMQ/jlbRZObvqPLpBsrf0pJJWRf5WgqlIDOqr+N07Wr3qtXy7S/y78WYoujghXzVl5ZUeQYnp6eJWLnkIpZ2tfZY79B1m4T+BXztdvCxPOQ92CSc8cr6pvO7lEAYlgJn44bQyDuzhNZtATNfRbtMI/kq1UFDQxY/y22Ex1U2lv1z30MruIF27vXykv1MAJ8FhMqmxkZrRyN7b3TQHowOEfW005qItiU/ytPU8mNz77yEuj0WNuv49U0u2AZhwO3VGqbEEh+9T4DO9jE53m9ptKPhNrN718xITE5m+9JnU+09Onu0SUlCgYQCnwAFTjOetzBob4HgAcHbYD0NuBqk0dTJ/HIXa4P1H547oe6AoClZ5q62vjxC3TV86u5a7l/vWcMd+QXDAzOYnktTF/MNFsri9+cdcTsIP0OFVvoN5xGUd0KKCHxy9sFToNYbUPm+RPNpZckHP8wEwYQCNSjwDgW7eK9xNh59TKGG7sinagGN2k9Pn9k0u399/Z02OjJoba0t1kbC7JaWJltewBMJAWwPoW+LYCcuVQFtvXbtNFz/sfrdvmMJdggBa5h59nW3W/+1XmtC4FldWbEsws8BcFcwxVxa2wauxAsvbAqGgqOskdx6GYFgWxESSWHQ2t5iM5jmrRJ6v4j5ZhYtTqtwJcdZDsFODrzlu5FhtNGvg40P4euZGXs6PmmrzszQ+5LRmMN7IurMiYFuQIFxUVY6lYjsDspDqQK5ZBBYh4n2+NW9u1YgKEg4TgdmCVOk68VV89R0HYZm/Abo4Vft4uP07VUaTCNijauclj8zXe0iQE/zTB49G0eQWrYeBPCRoRuWgbataMaa9cwQzo8RvhSZcoegOnvKVVPjCKVOG8fiZIX3bHFxBfNb4m4S8aQeYeoQIW92Zg6YG5YC3jGbDOu8E6/oS9riJfWJoDx6e9ius9nw2ehNu9/Xby0IenLUjijiEQl9nqAl37p1tHPj87b/cs72ZpYshX8nIpxrq/qKhHmcylp+sMOaMMFsuIkJU2cTCyPoWtnBCeDkJKFAQoGPmQIX+fRP8ZurEiTWmbi55LF6NhvTbIjldgjwtLjl/OiWSWkwS0qDfSL6Kn9djuTj3XcGrP1fHlrTt3csJfNLRb9U6MwGbVlVYlhtI0x14vWETEBIv6Gssh5FyfEJUkBvaPka4mJEON0mvGWV7c+6X1kvuU4o8CFR4D0Idmd/GhLIxKL3+TiXyVWmYCmTmGEeEvHwxuANGx4YsCLpA/KNaSsQ2CItAYxohvK52tiSpsYbzZ3+TKMpQMRWH0WiYUqzpoAbKUwxu/Jt1tTQQqj6ginqoSrtIDCu72xhDkrURHDyudHwnyMC5zSL/g3MP/OFZuvoakfbl7dtJbgmDcPe7r6lERC6OltIgtmOkOdTMKjvWoejDALKDgLKuvz7SLmwi5ZI06AO4e13OanJRSUlFbDDHVXKVDtP7pYNgrkUMWU9fVQyxZA/UCKZyqqzzDAdh649Vg5TUPSlDY52Eh+DIU21JxRh5N+DOmh+aEsIyZMEp5maX3Ra0MHh63ajv9928IVrwSSzmb8G3oMj0hRsim68C9KsqYeoF4+PcAtnwkybB1vkLFxDeNum7YE0rZkmIpmSqBQh+ID7m7yHdQqQgnnnCs91DpPNubk555eXJ3l93wAmmCPDCJvD1knbtHta8sTzNIueknouYUSeJ/J3YIK5ZcUns7b5fMr2ljcR/tVOj9bjqeAw9YWMtQyz6XC/z+qvETBFvinVJEfXMvknoUBCgU+NAo73ir1ETNhdlF2WeO9VaSNYUrBJLsvCC9OlPHVHaOc2fiD90C/kE8Wn7qBuz9oGCTx1izx1fyFQCn9eU8fSgoBTcS3daVw0iPgRRuB6jxdwXlnXF8fvhtYVDZPLj5ICYb6tHFz8jagsS64TCnwaFHgPgl11Qnotm8owZ0Q7Mo6Q9IK/HfzMOvBfUtCUNvKDbXCdS2csTx6xTCaN4FO0Lcwll9G6bMnXyi2KKwWI6KPXZ64k17uY1AUBJwucRnLb5VlaN6URGgl130huuwNMMDfQBK4QQn+zAz86FutFhMdFtHyT+FcdEgXx5p1R60VTs3VAPXz9lhBGi+Swy9O+jwAfvZ0dmGKKrMIpEjWqTTq6lyLSYgc+XjfQIBYwDZWQInFVeDsWVWqoSGTxw5dTqHJoFI3Y19K1xqkgMXl+w+HBRXiF+7qDkSCmoMdowLxI4vrgn6AZVF/HJWnSw4khxSpAV2m0XY3QKYuQotx90iYKu7M0eAFzGWNuInS/JLXBq3k0Wpi29qH97G7nPUCIPoDeMplVmooM2tGtg3XMaMljh/nsPu9P2BMWDh43ThxGJaGJq51jtHC727bJ+7O9tU0wHsJ1k7BUz2ygt4tsAmmjW9YimN9CsiYEdAnxy7RRJNT9vRVrXWy1dUxC9xCWDwkGILwlmEV9qt/SY1GJ6CVt3SYBXl6v2/pPr2z9+bTVL+yV/PI8rfUeHzK++p5my9+9Zhn866yXDQflXVCKg+RIKJBQIKGAKBDYQTmze7u0AXYDvDzLnmAO//OGpU07eDFja9+94A9N3as5goVhltmZt8b7Ay75eMuf7uITjGWIi34JR3ZZzCO0Ij4ZBhCVRWfipJXcNCqNn9WCEq/32zz//9l7z/ZGkizf75DwIEHvXbG86+7Znb27s7NG99FLPdKL+zmlT6B3V7p6pL1azc5093R1ObLovXcgQKffPwPBTICgLbJcZ1aBSGSGPZF5Iv5xnJ/Rz87Vvj++/1ejls/1rXyfT5dP1cPfNv0/FZXjem5CgU8A7PT412c9uqOoZLJ9e4f3w3eT05ZGwtTS1hYEDy/ubQfg7RgpSwawkFTIA9Qk99k93MMzpiR2er39CxYSQFedNFALfsWdW1nfAhwcBuEImjLEsEOtTp1vAiS0IYVrQiK4ge1WEfU4xbITcMviVGV7ec2WlpaDOtpaCni87MD1fYttFldsZQvVzaWNQCWwFQ+JPR1t1ovNVYbyLztEEbU7Tb862+kvNnBF6nTSJ0evoF/i73THU9Dn05Ww35oyzx4p2t+eJ2gnH92vl8bnkpxwCxuzedQgN5CGbWG/Jpf+CjFxKhkksa+zuix/VWECsD/Ew+Rod7clc02Mo0BddWpfpwd1yl1GorqKuuubsQ82gdOUfBPOaVC/PKH/RZzW7KEWeYwapaShcn5zDADeZ7x2kLIK7DuFxloA6eoVdSSt20baq5AWW9hqIpSzFNLgAjaRAwP9dg9HKC1BO/Xs0E8atc0nRz9KSAgXF9dtYXHZZmfmUGstWBfta0Els8Dmg1NtDbIppz+p9Jrfe3wW8ab5Ydn2cQe+j+OBAnJq94SqbQ78plPEfRrotMSDHrMRwnG0pUHn5A26EZZ7WkF8ElMgpsBvigJ+uX/KDXRSn73emC6BPR18LImmQQKvww1ru1YE1G38CKjDUUppbMka1/ethY2nDM6duv/4wvL/8gRQB99qoTGyqQvi1KkJauBpa4OzqzdXKcO8tWWp9OhxB6SIFv+Jz90a5qJKa6lzUdr4XkyBmAK/HQp8AmAnYkaZs1vOaiEuBcGtA2LWrazY+MSUzSOxG344ysI9YSvLq7a3gVQGtUiFKVCYg4CRsYt4iMt6xbcrsqBXeATkGnUPqRRK+rWOdGZxGbURgF0nji/aCiyguZcEzEi61A5gk7RsE0+Mcp+/iErkOuqXJwCIublp217dsl4kiL39fagC5gPp0B5gcRX3+2u0sYw0MIdUTGEOugE1cppf3eezzRNF9GkkbXOBQOv5FtsHuIgmAZCKoqlI9mpmrl86ovR1V/RXrcijIpqmHz5leDd6hmwRJLODFHR2cpaA8Eu2gT3iEXSWrZ4v3X9Hc7pzJ61rQGqXRhJaHBpETTFrBXkGTfmlSL1cark8QR7ZBlJS1TsGwF9GCjfysAlwlSC0xLJtIhXdQkK2BZA+5nnQEySbyQOAfVk2dkhapc4rEK821vY1eNYAjusCrqh47gLcwZsByO/uabchpJr3evtYk4Q59ewUSdSBquwBoHsKie3SyjKeOlexy3uPNBlJXzZtAyM8fRLz1T24jlSQYInY1i0Q4mDOTqbWsFPZZ2wU31AbGwpvQJsBrE332iz7aMCSgDuC6gHqyB82qaYGX6cDojU3458xBWIKfGMUCFjB+Uz443tL2UnYiTQo02gZpNlAzWBTdzy+YJs/v7PZv76zbRw/JVFRz7dnrI1wLN1/eGGt2NUlHsKzAlBHAQFrUkOrGxvOJL6p5zK3SoJo/rPl+VK+3e/LeftlFPx2afP5e1af9vG8/PlHJm7BHQI7MSX/kEcJLeU1hRBI2O5J2cbmF+yXN+9tBVs1hQwooea2iMRmk7dGrvqL8PNFJC07LPYPWcQLQmhRLzC1gZ3d1smuFRqkr1Z9+GlAYQoUm24eZxlHgMMupGpdSGnSqIkoEHUBF/fdSMwKqEM2ACAV7mAJpx3TAIAydl1bODRpYMHfQZpe1AKRF9n6SRFbMDxsogpYok2NLOzzSH86kPy14jhFtnmyWPNHfQYgQZzuKMA6ioqoZKbpcANgRm0/joAMX46oqRzB/eCip6+ry/8K0ztKOzVIZ8/l71V/I72kYHl37Otope0N1oUE8gjAdArsOK2HNX17/CSeAij3Y2fYhJQwwflFh/oB9WzrsGSv5xbs1ftx2wBUK0bdPiBzgfsbFKHnYBeAtbizb8VN7NRKeg5QgzxutD2pxO4yboxJoQEJV3CoVe4QcBRIK/PMrGxu2gJAUaqUIm8LYL4bRzgKT9EGCM0H1HX5lEdjbYDiNhz3ZFEF1kjJec4a0t9lVDM3K+qcSuYUKmtHgMsi+/qeHb9esNKrKWuY22JT4RgNS/XehdHA16s1Eiqj8LDXks+GCUaOOlOaQk+7obTxEVMgpsBvnQJu0y9ChQiPqOYSUT0Jt/EmhnKaPCjCX3fliXsp1FyOSVMOUVIrzLnvsAlGUrf187jtTi3Zzv6upXvw/vyQzbt/eGaFv3/snDy1obsuVChxX+D9sro1kRbf2Wl131w10VbUu39njYkL/sIpcFdPhtZiddYBXzg14uZ9WxS4Q2AnQukhd0v+KFOVZIXluS2j7vdmdtbeIQ1RoOh+PDjKLmwfICbJlRbfJT6KQSeQoJACmpxU6j4G3atIy9aQLPW0qhvB6prv8NDiXG41NrHdWkTq04BErA97qm68bOaZfHS3CXVFgT15tGzkfA/VPoU06MghmcPzZaoxRYyznLVzv4m2lVmQb5Zwl7+2TrlysYK7fOy+2ghI3pbB3gBlRLlOUSujfQ5b5c48WynThi3ipAl87knNFIO2Q3W8klnpdKqPO9e+p7vpy3BX3CQdzKncFxhN8aM9mbZ+JJSXSe1EvS5UYJtwJvNgBPsxSZpOD0dz97PSEteE0xTuxEmh0oxlFpCYVj/UFmjh+xHNIBnsHs/BAk5p3k5P2/T8cgCgWpH2JRnrfTxVBs8BufcpSuqaCVBeAjVa/VOZJQD+qsJUoK7ZUyBEwBmmqlHGMQsSSQU3n11YCbyjSlOolcDk3djxteA8Ry1VyAL907laLMAdPEFICY/3CUzBxoP8pQp0y9GJcK+o5McjpJLrN2gS2zpAKHHr9t7PWPHdkqU3953ZHGUrlTxhlnjuUvea7BhX4fZskFhQOE1J6a4O9bLeER2fevfjazEFYgp8kxTwrOGWO6e5I8nknEZrJYlNXXkMUEdIg40/v7XSO0IaYKaQ60G1/3Gfdf3zc2v75+8r3i+ZlxWnTjZ1wQRUj2dVeOKFbVY+/7kwYXDzIjLUa4GuXZTn8hrjFDEFRAEP3M6bg8+7HlMvpsCnocCdArsoc/XSKbFWSdE2yrs2ubRgc6uo1+G9cXRoxIbxgplhkavlshiwFsz7fHZZyLejmrnGAn51dolFNcHMAR7bOC3ZBRQJbCmtt9kS6RSHTkp7AgZSsVxGbbITyUsnDk7aWwBspNdCXJ4j21vyQTgF2W7toa63urxuk9SZ2u+xlyMDNoQKZgtu9iXB2T9xcecWiGm2TYDrEwBIUwvAr709AHiuXLXg8kP0KeGF8e34B6RVY7ZE4OxtVA4Pg7a5/FEa6oqni/t2ady5gxc6Dw6ARzOg7vFIn/3TD99ZAWnjRYeoITXKNPZk6ADWSepL9rWFSfwdD0LOm0BDqKscGttjWypu2cTqCuqXeInMp+zB4Kj19nYHQFSGbsKGKq/IWO4gdXu/sBAAuXUAmsCX4tLJzm4XSVq5oHFXTzzjdQHPZcMmjLUGeF4BkO/iETOBHWQbtnK93TiXQaXS9co9c6pPrFkwTuO9DWjcYGNgF1tQobkc0rsuNggUgiPB8xpCbTL5Q6hvn1XS/KadYJ+yP4G3V5yn5CnVO7lUW6XumySkQe5+lyUfMUZ43TQ8YxKDgZL8BKH++HNfQfwdUyCmwG+JAuJLt3moPAnYxF30yaB+mVFIAzQMSoRkWf35va3xKWMXnCAMUL4jbe33FdJA6pd4v3zWRTgWuFkGPpfw/Eml1mtp9Lrj/ySMj0soEKWkqHbR4dNelu6iMuJ7V6GAe9YvovdF965SQ5wmpsDHUOBOgZ1vmCCHgJYWsvomEo5NAox+nZjBScmB9Qz02bNnj+3F8H3LsdDVxKBXR/lwSG97CdTUVubs19djNsZCWpITeW9UgOmtvRISPcrFLk8+Cv0hFT8t6It8tlCX3CBtazu2dACwfBanHoE8BrUTwE8noE2x8hpZTB+yW7mLg40SNlRpbME724h514kksTEdAC58KeINc9eWSLONt8QGpHhN7R3W2Uu5OGDx0Mu346LvwFYMyeM+gGEVt/pLOOjYA+gJqLpyqkvzDDtkGu6Kk9W5moIrJJBUaw+pmezADpBYHrc72OvLqN+ukH5n7zvbyLOTtpPGKb0v23+7MtyywcvCVIOeA4HuDbxUTiAdHUdiW2ant394yF48fWyPe4eCwOHK79OXGS9glSXbJu3XV29tEqngIZK0MsBOTl/kzfSAxMc8B86ljnIDnKkHCzdUNYlfJ9CO45QS0rcc3jDbAWddApGo0Cq4xT50F21Vp0DdBqrCU2trNj45g43mqh1gW1IA1A1jb3l/qM/6eDYygRSZDNFDBchwbp2WjC/b7i/TOEzBNo8nUoq2TlYnNVTqQQU3199uLU8GLa24ddiuBLZ1pwslX7DoqIKrR6Ca1sHtyh//lOjn+amiOeLzmAIxBb4VCkRnBd+ns9ekuSD1yzTzUGaPsAbY1J2ML9keIQ1WiFW3NDMP20HNvT9nHfd7sal7Zq3/9L0lnvfi3AlQp3gICnZX4U2+prPfUX6kc/Gz+nwpmlLl1E+lO7+tw9Mlpsd54+4p5O+HlKq9czaFv3Lx93nlnJdL6cNWnJcqvh5T4HYpcMfATsxbC1EcXfCt4NN7fFYPivYORymvxyasCTXI548f4JVwgM2/bCAr0sug5a8cS+xpKXzC4hcAlmQx3wCwk5SjxKJeAGsNULSNndV+RiqQDnzgrB61vUPbAfytH2GDhaOVPTnBQPxzjJOKY+zYDgESktNk8YrZgzpeB6Avjbv7Y8o8Jm0PjlCejQ7bMEBQ6pgKRSYIswt6WNnBCQc2gTuAwGNUA1sIz9CKt0y1TYDALb/V8/MPSQtliZel3Q8G+6k7QRB0vI/h4IWpsvqocIbgi3aIPu7wLOPslQaAnYKmD2BD1oVzGMlBfWqf+zrfDmq78QzzuZ46CdllvXaKikSJY2xw1AJoWtjZsbdTc6jizlhnH4HIeQ4GkI62J2Wn6A5J+aT+uEsPDgHwecZI9mjBc4AtXgkHLxtbe4GDnB02CdqgJ0q7QWYB/RLP2wYqnEvEJ1zckhdNJHuER2gGUDW3tmJb2U3pGWw1kdBqhGmbHLGUAJ3TG+v251/e2F9+fhuo/TYB6kaGe+27+/fsOc9rH7Z5tCYkhz87hNIlxoSQBvu/ImF8PWUHy1t4whSkdeOnEQs+PNfN97qs+bsRaxyVAwJ6HsR/8oXpO6RtONLuvn5fPq5XS+VKjP/GFIgp8FuggLQmBexyqDNIUpdcdiENtv8ybus/4f1yEu0YPFIftmas8/EgoO6ltf7xmTU+RlLXDqhLwZcCUHcTaomnRcGdeNRZ4KmSb8K9PJ9Vfn9czid9yi/7W/SIHr5f/jt6Lz53z895dLjOs1VL9/PK1PXw+ZM+j1az8RFT4NNRwK+fb71GrxYZLK55sNeQmM2wUJ7HOcYCzid+/uW1vUcSMshCuiRX9kjhEuz+yf2FWL7Azf5JKViwz6NK+WF63rbJG3B5XpMD8igMwXvc43cB1pIEsZZXSiKB4YRw3xaQtMxhf7cACHvzbtyWscfLZ7P27sMEc9FhAHbakGjh4sNasbFqzeNen1ALhZbmwAPmw5Ehezg8aO2KoXZUwg6M0Aaofi7gvfHN+wmbn1vFwccOGnNIFQFjm5zPzsxaE0BjFEmOodZ42aGXPQ/AGMbdfk93B/UQdAAVvroMhHoCSQ9Ape79SmWnDIT0Ui1NSyIkIBSwloty1mutK83nchJRL3HSPUG60xrrFcA1N4ELbO/zawWHNzOMv+g5i5OanwBOs0jtiBHBc4AcT/aUwGO1WPVK+rYPOF+F7rOoUE5NTdgu3jEDdsm6oIid4wIBxN+NtVo7ORM8B504fpGTAQWxn0e9dZbvD6hSThKqYAepm7QkJe3bZczmluatvL7GxjN2JXLKQ62KUbeNaqfUbd+OT6AmugkIbEGi2GLfPb5nv386aveR0rYC+GWX5yBrpPvaBVhHTXd6zcrvl6yIGmbjSjEAq6KX6xcjghQ431ew7Eg3i6U+MwUkl4tXrbYuI2ukuvg0pkBMgZgC51PAcf/wPnOMWAyfJKZxSVTGE0jqFNJgizh1Wz+O2/6bedQv0XLpYZMNp05dALr8/4D3y8dI6jpYNijAnTaggsN/hzVc7Uz5bpr38hq+BRaqPtwdhS6n4dee4rZod14538Iz9rWPcdz+sxS4M2DnqxIMOWDXb5mg01rEv/6AWhux0pZWN/AwWLJVQNkE1+9LjXEUm6WGwBch2VnQ471wATW9V7Pz9mYa5xN4qmxGspVuyLBIRs1yCVu4w3Frlv7/DyVrev7EUqhGrq6t2F9/fm2/fiCEAsHF5wlXsIcN1zIA7M9/+oudICl68ei+NaFS15TO46cCOzuClA/1oprX32XfP31kTx4MW1dzgUDbeMHcWrUP4x9sbAabwI0dm5ibsxJ9CNRYwG8HgMbZsTFLrm9YGk+ZXS+eWmsBcHcqzRG4qT4cQ5A8CqkdNoPptHwlXnZUs/kos6nPYJwsTffOgI+aqlxZXt3SqSKWAZGHOJxRu06Qeh0DiOWRVKipAWc2ir2XYPzkJEWSK0FZeQM92xbBOkATHkcX5haRgr22MYD6wspGAJrKgKyViYxN4IDmPuB6BJVMJ31FTki92wCreaR6r2fn7O3krB2sbCK5S6KuybNAe3YIQTBx8NqaGJumH4g/+PA+KpkNNje/iMfVMXuHl9V5QNw66q5pGteA59IsrVyjzFcEuc8SEiJFPxsAlaVjVHFR790lhuIOCx4Fpe/CU2hfzyN7ivrld/eG7H5Hl7WzSaCXpxq+gzS1YgKg8qCYvSK8wfgKjgh2ScuOOHUKtks1VFHsMukmK4z2WmoUUNfbAsrXLrinXnR0yfBRhy/zowqJM8cUiCnwhVDgOm90lJM4/yZs+sHUU7IXlvrl8q4dEdJg/ce3NkdYg/0pF9Igi6Su60m/df3L99byP2BT9wTbhA541KlN3eUz1hdCrm+iGV7u47YG472/jxvUq79B0fentk7dq1dSmMePWm3O+HdMgbujwJ0BOwEJSe0koWhEcpRDctSBZKwPaYqCg3dh12SAAjmi6EelrYCtkvMm6SRWWjBLepdH2tSN18k9wg3kn2BnhTOTIxbzivuV5SPVu16kbAVU9ORCPsUblae+DvL0UUcC0NGep67hE2umrH7ULtsAD/KG6epjcU6aIQKL//H750hMcvbw3qA97OwK2qx2ZLDbaqb8Llz4C3AmEwO4yW9FHRS7BIBfaxNG5XjR7MjjhIUFfzroNUmveIgxOKUU/b3sqMdGzs8Tpg5ZzXmpBck0VQeeOlFvnScg98LappU5PwH0CLTsIw0tYqOm+Ai5FuL29XRaP+qe/XjTbKIXoWpiFOA5i0Y9Bwr63okUdJfwEmnGvK8Tb6TQtonQAwPYORa4H1IBAMnYZPg0M86d2MU9wPlNCw5e9kpDSN54DhIpnhGeLSR+Pa1NjHEqUOfV5NdMWe3k6UcVNZ9KA9TztjfYRzdQPUJa28r1VmwpMwDVhAAZH8U6LKLCuksYDIHRpqYWawfsy2PrfdRFB1vwoEqdDtSJaYtiIZVxmUlAcp79mTU7+HXabHrV0luSQDqPoZJEy+5zHzCZvI9DHsIbND5gF7yZkB1BzD+N0+VjRaJLjkibLkkZ344pEFPgK6bAOewiuFzDBvRTZnFZtApSqF/Kps7k/VKSup8nbWt60XbLRWsmpEHL/QHrQFJX+MdnliRmHTry8ChKlajv2jyqpiHnkNun8l3yv89J/sVf9v1QQ2/SlzC/p/lNSvniyXRnDRS1QhpepZpw9aHUzgSlXr6wVHdWKxV3eeLRqke7+NpdU+DOgJ1ruOzImERYKPd3d+F4osm+f/YEhxdH2NyxIEZSlWTxLVXBDhbdWsB71T3JjloBfM+4N9jbY3+DA5SSnKYAMIIXSW7vWZCnAYl5ym8VWAM4Ckr2I1Ep/JCz548eYU8lezsxVSYy0uaQ9DQB+goAuHQyw3XKoNaHLNrbkNDJfk8x2JokieK6b8fLhw9tFPVMeeNUWIIyEh45cJGAJQVASQP+snzy2RT9BEhyuBc+CnCCy5U//pUXMDj/8KnOT3GVO/XrUPvC8p2sTQHf13HgMjk3bz++em9jSMkkpdM4yW6viORreW0rsHFMA6hHUE383ZPHdjTUbyMAPdFffiKdrNDXKxo0BONzvx9bSsIq7JVKqDwiEYNKCZ6DRuhdwNFLO+BOaph6DlSGvIy2YwuXBTAPoma5i4SthNrkEfQP6EtShUYQoGwCILYB5HJZpL8sPjJ97DZT1y4hEUr0QdLHwwqAU50ppL9JSR2pTdJXjZjA4hH2mQr3ENAHAJjJsImQ4ZlgbKW6q+dCz1NIO+XlCFAbf7DlO55eIcTBrB2PbQa2daKJXjapoyp0Q7GQseYHHdb4wwibDtisNFNqUKD+BI3h++xRezfIcjZZfCWmQEyB3wIFzmcVrvcBE3On4hXygilJXbp4bOlVgs1MLBPSYIKQBmOojc9ZCl6Z7sxZ9jG881+/t/Y/vkBS1w2oYybPUlgj/C0AdndL3G+Br9UOTWQorkU85fMGGjrXmqo+jLhWsb+ZxLVzpuu4A3BuY9aTwl3zv9z46Zpfx7g7AntuLN1T6v66Kz7vt/D8+r7E318fBe4U2PmHW5KxFlQN9TlpC18DkUuvjHudJN9zL5B/2TLYMKVzAm1K6RUQdB7N5+74unQvjXSm0JpGOhjWFb3vSgqvaNHdisOOljYfNlql+IU7EiMAWwbA0WnYbpHW3Q1fd7Xfl+a//eLcARzliDIHn8qxDt3VoX778qt76+77v2GZ7sp5u0q16Xz+6Ldvgb5V+x6OZt5PTtuffvrVXk9M4VH00PoBbW39PYGUcxebxePmJXs3OWcTM6g44vBlGzXXBiR5mfuj1q94fw2o61QO31N9pwBFgT0jANzV6+76Nvhf/jlQv0TbHM9BluegnefA08cV79REQ/pXT3dZ2U5G6vL1VJp2+lWdqzpV9JdvXwjqImOqU8CgbezZyeSilcZR10UdMw2UQxZ3+nyo/UeJjKWGCLnxgAWTHKb0oIYpHdErHkoZbdcVs8XJYgrEFPiWKAATcFwjyjs8BIh2lIT8lxpmClyWRv0yCajb/yD1S0nqCGkwtmgn60jqOtlkfTRkHQpp8E/PnPfLwKYO9XK3+0XBFBQfn4wCR5gjFNls1WamYu2mtemMyYq0oaIj/8ka9BVWFNLJrTbDLvjfkbk8vHnmTK7xSpgWHSCcUEgimf6kA1t791aE9ZzJGl+IKfDJKHCnwM73wj3s7sXxD76fGvxrpbT+ns8nqKFrZ6/X2jaFOaJn9fKF96M1uzpc+otf8GiZkvScParLPXtfV3zvw7sqV1drAV20vjB1dRvPpom2QXfVUl9nmNfXqXJ1V9B6F6c07z9M2p/+8ost4PmzlXAA3agv/u6Hl9adV6A4vEViL3n0f/1/tvDvf7FpAN4BdoUt2KJ1oi4ZqELm04A4HWpHdNyr6w6SXPDH90uA15/XJq8eA9/H6lTn5XWp1MZ6+cK2VpdW7xc1sO6xXfLM7Vjpr4TxGF+0Q2z+cojx1EaVps8hEuFUZ9byuA7PsSveMABNC7QhOmSk0+FbdXH7Xdr4b0yBmAKfkwJ6S/nI/jjajJqX2P+MJrnxuao7U6CvnS0kTvVLQjZpUCqGeKZ4aBls6o4nVnCS8sEWsKtbn5q1RjbmmtrS1voQR154v2z51x9cnDqpXyoeAqjQbSBWb625tqsWfdSYMw1ySYL7ShM9LkofTXdb576dvk+wTm8AAEAASURBVLxPW39t730rLvoWtQ9wyLa9t2+b2KhLe6YFfwSKxZslDFRg6nJagGaYjz2iE9FtlPex7blO/ptQ2Jcf7be/Fn77p17O7XZwrLa9U0SDDGd/mHK0o6nUjEd3aRe5oF5hvnBir6VltL7ae9H88XlMgetT4JMAu+s363PluI0XTGVEX1r15WblfgybCilYO9GqbWF7wjoEKQnqjqrr+iZeK3Fysrq5i6MRvFXu4vwDhtaRY+JHsTAJOBkcRHX1fattI7HbxMvlBGELxnu7bLhvAHVIMTjUN8NGfMFnHzte0FMkLkPJbdQ9ZzZt69dZ255esvR2GVYvqaKD64qreMAuX6K7xQrPRyyDYwID5AXSOq28goLC8QrH5iz5Lrp3NnV8JaZATIFPQwG9mZW3M3yV3at9Fy+tyozWU9NJaU2mQH857BHSgU1d0Q6RzsmmbpOQBsWpBdsDMCgmXeFBv7X/4bk1/8MjSzxSTE2259IUoJAGkbarusjPSgMuaERNmz7PT7W4utX12uF7UZ3S59Vdn6Je7upryuVTV5dXne6yXxIObaMiO4OzsbW1detqb7En9x9Yd4EN1MB8RbCj3px+Wcm192vXLdVrhdrUn+r3bdAwbGu9+T68Gz1z4xfSVc/PMSC7XDqwZZznza6sWzKfsUcPHtoQ6kSKgxx9UjT6CtZ09rn7Mukc7Xt8/nVT4LOtvT+G0d0OyaMv7O2UGJZys7JvnybREj17VCvrM2y1ukH2btiqpbJ4HsU7ZAMg7ghbuGOCsWewccwTd60VRzjdbU3WhiOaBTyVllgYrGF3t4yn0x1s5xR8PIgJFzC2kCpf7tnNxuu0P8q+z3b4MjYrH9ZsF2cEewtbqGESwiNg9c78Tmw+icpvaqDDko8GMOzsYEGFbZ0WT8FQRcfotPT4JKZATIEvlgJ6cWsXalyqvMq6e+dv9Rk27y/AcQB1jaiIp/Dwm0L9sjyxZDu/jNvmX97b/us5SyJ5aOqCJz3osQ6cpLT860tLPcdRSqB+yaJU7jOD4tSLO+8JdXzKQx3ztLqoXqVR36+aPizrKqWHqc+eBVRHG+YYPwLb+BmYXlq1TcwhsjgbS2Ij3pZrCmzSqzVXzpZz+ZU6z/Dlme4gxadsR73RqX7Go+Ysmr8NsxycKtg+G+BzrHfKa/gIkPd0/Db0MBbNrJ/CjXO3oVtdy6fs3x0MT1zkV0GBzwbsvgrqfFONFHupZlp+qlI3PbRJ4qxmANXL588f2yJx3Ap4Ix3Gvq4H27k8uv3yFSmHMdLwl8OTRiYdmZbJDkCOapxZ8ddNuChdfE885aqZdOXuIXc38BQ6tWL2bjlQx0xslirqqA7UKTB7A7Z1OUBdBjXMxDCgrhsnOzlKjHm9J3P8HVPgG6NAXY5BHz1HuVl3z81NdXKQIpYik7gUvCkvSV0A6hZs7cf3toxdXenDojVu7VmykLS++/3Y1H1nbf/yzDLP8NDbncG1NKAuiFMnFUzVdm6NN+vAZ8jle6DvIzwjS5YiD8m1h0/nRs6Pn78aTe3kMY5CIrz+OyjQQLk+ZzTHdc+PKKUMmEjg0C2Fs7ITbLrmCf+DvUTgvO3RILF28cit8D2J03G6jZqv29KbpxdlA0VfTrSO8E+cL9FTPuyVP/N3fEr3lIpmp6NKUsErvQtnp1mV48vSty/vNPdpwbqjESXgkzVgt59BFRZ33LaKtpLCah1rAwXnegniIWfZDFdpZ+s7LS4+iSlwpxSIgd2dkvdzF+4Z1eXt0KSgTwE3/I8Hsf36u0NbI15cupC3Z0MD1ltoZWdQ8idcm8DE9ssYERN0/gAVkYSCoBMbrsAEkw/iELpJzbPMs7VHWd5ZJno2/ae/Isqd337fnkoKBSRf2zF7q7h1eJYjbp2mAefdk7B2/OKuJfCw2U0sqAx2LNbdiqSO3T/UN+IjpkBMga+VAm7Jd6b1eq25pbv1j0qC+jc/6qpCt6SwxcrAl9LE1EyjSWCoX+6hernOZ1mxQMt71kTw8Y57fdb1h6fW/k8vLPUSLYJOlgRZeHLAos/p20e17vNk9uMgQLd/WLbNXbRMtndsGw0ThU/y96Otu4wzCxgekmgfeh9Cr8DTMiXJa3Ig6KxTaG2ZdZJEmxBEzzkCKOCyzBbWN22tuG8rqADOY/++jBnEGtK7h/29gdOyNubgNOGX1JvaeqoK/eQ/ovN9deWy29SY7OGQZJ0xWcfr9h6SSdFWRy19gn7pDzdq7ym9og3JA3aRErROSWkzGnXVYEwo9GPoopUKJrSBOf0y7VzdK9vS+rbNLa3ZOvGSdzFheTo4gFf2NisAxHN43I4X2BqV+PjUFIifu09N8c9eXwikokxO55LG5ZhERrt7iB3YZEU8YjaidtBCjLp8wKTYPYSd6vrG1oZtsFt1jLguj9OUgd5OGybgewE7PKmFhKHOaztcy+T977BdtTk+9e8oXXzdZ69xRVyeScTYEbeVbTt4NxN4l8uulwJQl6xMPQJ2uwDm3CgSuqdDZtjXERQxAuo0RdWbpnzt8XdMgZgCXwcFIu+ymMZtvNa+jLNM6AxJlEQcNQ2oyxUPLLXGEhfp3Paf3xLS4L2VJhZY+QIT8ix4H/VY1x9fEquOkAbPCLnSCefOwssSfAK27CuuruYKzajOUPdXhE5179/eRd8LfR8cMXft7NiH2QX7dXImAEgKvyRWXnuEbnB8CWEKbV0KRBQBD4R3R6omEKFYuo2WYU5IIyl1ErQwjzvzpboya0v2kMwp8QmoOKngERuAJQDP+va2rcrkAUD3gTizs2jVbD1/ao2PRi3T1WVJwJ1CDmlj8XqHT+/nY+X2165XUnXqaHnVd9R30bGMicfK9pa9w07/DZsOq3jZVliienA7oB5017TraeRLFe2OuLcFcN9iw/lIobQwKVFc4xw3UnSnNo/P67/r3fdjojR6Tng7ghjG65igLG1u2zZmKLNTM7Y8u2zrzx/a37x4bPf7+yydJZxSYAPpS9e3p2mULv5aNF18HlPg5hSIgd3NafcF57wJo1BoAQKIw/oyxPfraMucsiB1VExYipZbpaLNLM3jXGXJitt7lpbq5lCPPXw4avcJHq/wAgI08L9v/9Dssivbuk28zBHYd3zJjqeQchKlUROEXq5AfQO9+4b2vKVG263hMapO99pd3Doh4ICyom58xBSIKfD1UkDvMJ/aGG9RRujRQ22aizpdlzW4ix4inGaH7Wu5mJKkDpu6BOqXxfEF2/553LZ++mCld/OWWMeDcUfGGlEH7/qH59b6z88t+T0aBF3INHLwsor6ZZQvRbtwWte1Tyr0uXa+28sQUI3OnACSDgWUBMqwlSohMapH5gaNF2k0mfmhC1tDGdzah4fvAhyOiHV6gJok1gh2CKCWzKlReeseomg1bNEVd7h7/pdKELjDZ0cAWhqwf1fb5UzlMNlgO2ysljSPoDWjOLMfP/PeZO3gW3vZd9jLKsrooUXSKI/Rkrbt0FnFCK6/iKCMCl19GWGpOCcjk8ajSMzZEzacjU+DaHeM5Bo1zzBtdVt13ZXnSw3v6z07vceJwOMBn0Mcyx01FglFAYiEbLuEitImLob0wYb4CeOmfPXrvEs6h22Pz36bFIiB3W9z3E977dmYYz5OhdLfDHAHSwWlQWElmASnlxbs1dtxW5pbQMJ3Yl0DvfYDO1Q/vHhio32DqGQqVLgOX3Lw4xv7A7WCbTu6hS3d8dsl2381hcOUFUseFgHHAslu2SVGf8RObn6ow5pxmJJ8AKgD5BH8hlWYaPQt0+kbG/a4OzEFbo0CV3jvo0nqrw5pjeMzDSyIJZFI8sniyCmDOvgRjlK2fh6z+R/f2dbUPM6wiKnZlLTCvS5A3Qts6l5a8pkcpeD9UuqX0h+s2s67uLO+eec27eLsn+VuIpGyZuygenu6UG8k0kxXR+AII+hLpCMB9q508BTURe6LbR8DpMqppJVzSTvGeUY6xQePiQ2oSDbsH+BMVPTkiORTuZVig1u+bJ/EY35/XWkFEGR5tlMs2cryupUPBF8QsNL2F08f2KN7Q3jKbLMs9XtnXUHhX8Ef9SNJ2IZWnMEMEFqpxCZoByqZbDG4J9ETJkq0Kgqqk7wDFcmY1FZLmDiUAHYNeKxUDOLACdzuviVQS/ZAXbmCg3JdFa4CR3dfGXcq9wPAHCQ8CaZ+gbjljS3CTwAWCRVSAOQ9ffLQnjy8bz1d3ZZL5oKxiFj7+Rrj75gCd06BGNjdOYm/9Ao85/Tfaq+bkBT+QIcmlT12NafW1+zn95P25vWYHeMp89m9Abv/+IH97vkT9Pz7rCnjpHXVU1dQxCV/KhPgJam+qNsyrijS08US3uVmbf3tjJVWtqwpYPuOAurVIdNGY4r4fqM91vxy2BqHAHYt0FWB/hx5v6huxY2JKfBtUKD25bqIx1yU1i/yRJUoj7wilaLZr5jlTDIWrRGZweltLTbVIoGBNBtNGfw3pVGTTyOpOyKO5g6ql5LUbU8uYFO2a5mOtOWHCWnwn55YCx4wU8+xqevFUUqWUk69X54Wf4OT2s7egF43qPWqWdwoN1geftyN8wupTvZ3SbpW225HU5Ub3KnTDV0PJGmo+x0hqTM2NJM4EmtQbIK9ojUcYMYgjY7zjqBMpHYgCaXSz7PVAAvY/JOcSZLFaUIQbS6vEE+2ye5h9jB6b9Cejg4FphMtwdx7toTzqv8810N6qKX+l8BonvbjVwzVyaztsraQKmZw+C75xKcNd+9zUI40YvinJMcM8hFSzaMcG8x8B25M9suIVgF2iFjlJbb+Eb3ueUXIF/SuCcgrldR5F1CHLWJf18Iz1P1g1O71ddmL+yOBvWNnNm/IxOtM79E6fMfqtya+GlPgYygQA7uPod5Xnzdge3V6EVrIKQrbDqBubn0D/fcpezu9YBu7RSbETnv58rG9YIdqkJ22NEyvdLBnCZiprOzOf7A806xT7RdyybPfc1mvEsgV6BaQl7h1e2+xYZlYtuSK84Sp6UCyTwn1GlCRSQ80W/Yh0roXLKT6kdYRus6pPKkGX8uXTxcaGx8xBb5SCri38mzjw8VbeO+8tGGKS88qTERvt+cnYR5/xX97HuCA2mk6fzm4EC2Jc7ELEF1QAucKQi5HKckNpB2TK7b710nb+A9s6th0kqQu3Z62NI5S2rCna//nl5Z5iUq4QF2ezKcuA317Tltw4UlV8y5M+Xlvuna6vmnG03K/NZ21HACvh6ad2+vojZrO6pakO/pG6ZLhcHNpQvFIW7OQNJDxnNvxaNHRRDXVoPbXgGTxBKcpe7bawBxTPsJRSrP9Dg2ZhyOD1tUi+/d0BUj4Ur+kueT8tsgRm+uvnJs0WBvgLse4eOzle6M0/jxKK38e3K8QTmqSOjQepxsf2P0bPgOSvmCXpP7fikhVAsCgzoroVOea00u4nFWA8n0cpaRwvNOBQ7RnSE2fP2AdhOfwFkxTZOUYaMfWryG+GlPgzilw/vr7zquOK/iSKFDLOPWbDWAkdUe2hMenNxNT9urNJHrkh3b/+SN7MjxgT0aGbRAVkBPSLM4sBIxwpK/X0rkCOQN2+yV18ZbaUulXkQlrYc1O3i2g8rRix4vbgFkWVpXpxO0CE88vye7dEMB3FOcEA3jCbGExJRddwXH+pOdTxN8xBWIKfEMUqCw8P7ZHARyFfehb0roc6pepdeLU4Shlkzh16391IQ1ONrGDbklZ3z0kdf/4wrr++YWlvxsC1MGEmmVTJx50W3zoljr3scQ5N7+W+g5wSWEihaTHL/7rZrlCdzRPuhI14/lZlFEh72XZfepo3WEedyaVxJMjYsPiwTOB+l8Pwcl7AXOP8YQ5hNQxB6hzJhO+tNsay2ir7uo8bKv6oGc5ha1dRavyRpWKCqKctjzkcVNHJQDFFcslj9eHDTK7Z0RjrNKKGNNt43ynAalsdy5rfcTyfTzUb6PtHXgUTwKwVZtS+/FQIfERU+DTUiAGdp+W3rdYWzC1n1NeyDDPSXB6uZb96Lc+ZVjTLkBlAS9c71ABec9HjlPaejrtux+e24PefnbY0raP4fDy/IpNAPyyeH5sb221FoCdGHU4SZ1W91WdiA7VfajQXKK4HdQ7CEZ+8nrKGqbWLbOFB7pgT0+xbgItzSCobDMOU3JPBywxBLBryTFzqYxaqnMpPmIKxBT4AilQzQGu3EC3uqx502vf+5uVrVwyz5VNXQpmk0FSl1ktEmpl2Yq/TNjKz8Sqm5i1Y0IaZHGC1TLSad2oX3YSqy79/aCLU5ejgBvY+Nb2QPS4WS+uTMk7SVgZnmAR7nqgntXr3cXV18hYK2VcXo5S1KNbeM3NNfrbiDfMRlQ727AbK6BK28sc21VACwRP1YQuVwo+/tD51ed/nyv8jpZ1fjm1PQzbHZZ03TNXRrWd/83KqKXt+f2oX360N+qpPlKtBLShhmnYOObQxBkdwPyktcDmdrvlUcPFqi8Y0xDU1dYblhulX3i1fmviqzEFrkuBGNhdl2JfRPoo863XoKsxd7ejFZblmY1wi8yXp3e27DVOUl6NTdgO6pedqH4MYajdSTiEBgy119lBXFlesjlUNJdxHNJZIEQCEj23u+Ut9Oq178u95mngW6jfjvFW2K94dYmrW3jCwuNc8dcZI2IstnXH7NaxAc6HJRagmOkVtdTmB12WeHHPbLCTFRh3T7l4bU1kiI+YAjEF7ogCtYssX42uhzzQXT0vrc9zxW+96/41P33vXd5zLl+tYDJLe1I2dVls6lIb+3aC+uXOX8Zs88/vrDQ9Z2WkCuVcwvL3eqzz758T0uA5NnUoHnYjqcuTOQWXb1Q/1RI1zjdWv693+BJcro8r63o1f0xqLcKjg1J7rl5dnxYhg784r6d2tAdhC8LnUWc51P362lqttSkftLiAC/8mwho4SV20BHfuJFQ3eYbDel1J+n22nIt7drY917kS0iCay7frbFuiqe7y3LXLhbToIqav6K/WpLEJzPPJImZ0UkffRv99tlW19NPv+v0+mze+ElPgKhSIgd1VqPRFp4myhFqWcZWGOwYkGKbchAsNgMn81qb9ODZp//Fu3MansNPA2xSWzZYmGOfW2jaLAsXVKdnqwpLtYNCt8EetBalguj3EcKFwlTZ8JWlEIAUj3yWa39y6FYkJVZK0bq8ULA1xOB0waOn3H2JU33CvyewhkjqFOOhuYTGlsVIh+sRHTIGYAndHgfMXVmfrvE7as7kvvBKodUV59EWpKzZzFycJNMWS8NsUoC6B98uDKdnUfcBRynvb10bT2o7lcZTSNNJt3X//zNr/VTZ1hDTox7i3QEbFqQuadDM+pFyO00Xzq8BoP/1vpYmmu6hzn/tetP1XaYvv41XS1k9zeY2EH0I61E0sWUaNQzO1Vy4UXT3oqaZ+kPRaf8JyrpXtN5BYY6RNcH2nWAe1NhesxYhJGxxug0AxC0NJncbFj2z1s1/9q1JE/BVT4JYpEAO7Wybo11ucY0YlGNQKNnWvkdL9+59/tD9jr7GKW1+x/dkPM4HBuVNWx1sXXr/KgDsZDD95MGTNhTwBUvVIKbWbhr42ejh2LJBbu9jjjnQsd+nXLHHr3s7aAbvkB3jCzHIjTQ4d6rUM3hvbs5YZ7bTkfXbJ+wF1LeznnbfFGuSM/8QUiCnw1VLAr+PogDhB9QKu+pf6GEmun9XHaXJSBQlZNHJNmpMSsmX4ZIuoX64Q0mByydZ+GrNlQhrssdGUwPtlYz5h7YC6rj+8tFZCGmS/Q/1SoK4J7hSAulrepgpdpe7vxe1zbfcp1XRdcVf1KzyPpnF3vuy/aq/Ate+PlurVy3V3z/UiTKXf0b7qjvvtcvt7rjyXWymiNPNXw+/wvoPRCi/ky3WpwvzhWZj/Zme+JN/mm5XyMbl8zaHOj2uTQr5ffjhauXQhvVTCTUMPuPa4jW+NiUZR4Nq1SoDPt9i3ztPQ/46/Ywp8WgrEwO7T0vsOaqtlKqoiCqquymTkxbEBm7lDG0e18s//8ZO9/vmdLcwsWgn1SlPg0KV1FheuPv1VfB2x2pOuNks9GLaWfA69f+mi1y4c1KbzDt/+aDuju4fXKeu8Oq533UWqUZ5Im9RMBaXbJkz72Kpt/TJt23PLLjZO0F83bUgR9SjBLmtPi7XhCTN9HxVMds9d3Dr1xfeX0/iIKRBT4CMoEOUTKuY6vCKa9zr56jfXv9X+26Vy/MP9vYI0Tvzm1HNfhPdwXctKH9JANnUpQhqcjC3a3k/jtv3LmK2Nz9kODjayrSnrGib4+N89sY4/PLeMQF0ftr3yxCtmHS22fleueVUF3nqh12zD7SX34+ctvZzHS2c3rUW9v68a1Ws9RRob6ak4Kmge0Jm7JgCg51J/Nb+6GSD8duDN5SRJ3cPfVV3KqWH0MKNuhju+qPZE6XAX1Qk6iWpuJaPehjQ7r3YPtfx994YfB+YRjl7uiisp2ura3niK+zSufrWFIBbBGEpCpzEnFDlXa/lHbXm+nPg7psCnoUAM7D4NnW+5FjESx6TOFhwFdWfvRq/UMmgx0xKLhhns5SYmZ620vUcwVyRPWmzwaQj8O0eYFgXI1qO9pYkAqS3E3XbATkzPM1WfupZVRtvhzpWyXqp6jPNs7tu64tt7pi0ieYk/K7g6xknBxptpKy9uopJxBIN3E77yajI6JghubqDdmp8OWuMDgvOw2ArCGwD4zpR7ZlK4rZ7E5cQU+JYpUI//XZVX+Lx6H/XWXjXfFehZw8Jqfl5egFwChkzIpec3XtYtWXGUopAGx9OrtvfzhG396Z2Vx+assbiDqjwOHIiX2YmkrhPvl6mXBB/vg/copIE8rZza1J3fjMvaq/th8/QrXE67Ui8r4fy6P+0d3wvfXv3Wx8ljjjkvM+eVTg5t/4hvAlHr96Fi0zEPKiC2npo031JSycl5Bpuaus3WH99a9HOPa3Llr0PXSyrz+NDKlHnEuWoU4PNPZJCw8ocRO72e4CxBopTqU5mYQihsQ718Z4FGtNTbOVeP1PbrH77F6t15h8AT9OfvvrSCoP0B9NI1UcSBYQViClvgSlWrHK0T0MnTK8u8myafd27i5G0X1X+2XRq7wHb+qGxF1kha47Qw8M3M9fKwGh8xBb4kCsTA7ksajWu15XqM6byiHRsMmXQST5cDg332/fcvbPDBrpXhjtq1dPySiajCS4N8nCc56Wxusu+R2A3gMTOP5y7Pen2dvg7/++Jvz/gvTnW3d+u0WHHr1nBSMLVqx+8X7XBmw07wRCcGr0OjcQCRThoAde0FSw92W8MjbOv625j16ZO4f51ilTc+YgrEFPhUFPD85aKX0UvXakHL1droFp5XS1s3lZpWCZIW8FJYTLoC6hLr8GTUL7clqSOkQfndvJ2sbFuOkAYKq9L++8fW9o9PLYX3y4YB3Dk1kVmuM4PD8arKjxt/1adc/as3ruSTZBQ9HE3cX4G6Bgco8H64gVrrEmYIS5sbtr6zaxu4uC+W9g1cZgk8QKdxb9+cyVg3nhEHutqts6MdsHZsq8Q4K+2XrIk4eX1tbcH8mCC0wt5ByZaxXV9YX7e1rV0cjR3YocBg0FeACOBFRzD8wZn7IwmdgEoGZ1yFXM6621rYSG0LTCDSDfKM6aeW21kTRKq+8PRmI642+nfw/OIPocrG7o4tYhayuL5p29ixC+gJBAfZKcYHG69qB++NFrWNjE+GoPGtubz14EW0s6UZIIaPAKild+o6h1KXqHtxZ9vGl5ZtZnaeTZZje/lw1J4NDBLSSCMQHzEFvhwKxMDuyxmLW2pJFZu7Vpma1vJMRt8/fmYjQ/cCZlaGDQrYaZ3hJ0FfqOw+JIQi5La1Aghb0oAadhLDicZPOD5Hve+bt7deaR977WxrKlfkCXMZpzGvZ8zeKxj5LhOI84SpFPt8Skw6KQKs5ke7UU3ttYY+pHUF1DAV4iAoxk+8l09sH9uPOH9MgZgCF1FAy7Wzb7tyRIHZ+akuKju8d9P8gU0dxaRY7AchDYhTl8VRyvEHnFUB6BZ/emcbE/PWgKQumyd+1nCHdf7NY2vH+2VWoK4X9UuFNJBNHXyqlneHLbzpmWhXn343LfFz5NP4qB9SsSOADXHKyrapYOAbmza/tGrzi8u2srpmm6i57gD09opYoR8jjUNClwY4FPJ5W+pos80B1F+3tm0PQLfA4v/ogEDiXR04HWsgyg0hq9kgLZfKtq1yZxdscn7Zlra2bJXg8YeUl27Eg2k6GYDBbAqwRj7hjxOAojZTj/mTIE2O+ro6222AOHZ9fV0AFoJiJ9PMwY0BoAm6c+0/ooKek4+Zl2rz+rmuXmNqn8ezz9Ex8eKKe4wDYzAFkJphDFbQINoj1IBoIRo1A3RzrDkkwWzg4/GapGtHkqrSnya0iPqh0+hgvw32dFtHUzMB3ZPQSkHEfRvP1u+eCxWZ4Nk4sU3G7h0ewv/7z6/t1au3mJww1wPsB7u6CPPURCqX42xJYf99meGV+CymwN1QIAZ2d0PXOy21HoO4iKFcpTFOd59dQRheOpMnRl2Tk0DBHuXl0R+qO1pXsJvIpOD0zfXtl0WeafqcV/1WvrC+T6FWcn7LKj3VTuoB7Zpfs9KraTsgCHB2U5DXqZxK/VJOZ7ZBuYWhJmt5OWSJx3ihawPyxqDufPLGd2IK3JgCtXxCBV2F50TzeU5anU9vvb8T5XVXaioZtUHm8kf/Xim3VvJBQtUrUJclpEEa75fptaIdjy/aNqqXWz+P2e70PECDQMmtScsN9VnX72VT99SyPwyhfgnfwSGvyXXmueqXvmeuvqu1Tnl8vmiOetei97/kcwfq9uHmG4clm1hdtnfjEzb5YdqWV9aRzh1aE8CsnVA+g32dqF2m2MwERAEkGvFWeQQC3yPO3Mzyqv3yYQoQuGHFYtF6e7uttaOVMWD7j/SNSNwEQtoBYsP9qHVybW53z94D8naK+5gx5O0xmjIjeE/uBbjl2CjVs3BA2UXA5BbSwjWA4+LUvP1KPXmClI88HLYXjx7ak/4eG8g2WZ4yw5Fwz3T4+7wxCJ9RZ3sWlT5VvxfnleCu+7Ru7vYzo89T3Y7Ln7kkfWlB2jYAcDoGRO2gkvkOE5FxALHGpA8w/ZyYfgPdgNvWZoAxS1lofABI3gJcLyHlm55fspUPk5Z+k7Rh0v7udy/th0cPbKC52QoEQo/21Lcz/JYk1dn4ofhsC4QPeTU5bX/69Z19wEu44gguIsXdZiOgzXKklCTQ0yAsRWeX9baaNtV5418xBW5CgRjY3YRqX2AeMY+PZRCB2k+wKBGUcyoNgerDBf0VG9dCxknpBOpC5nbz9oRlXFD1p7mlppSh7vqOHU6v2f57VJ8mNtghlRxTdg5ur1Mwr8wkfjSM6uXTAUIdoIbZjCpUMM9FrQE+fpw+TcfjWmIKfOkUuA6fiG4W1far9p6WdNc7fHr/feXcVYy7sgQMvuCp4LIU9jzJDUIa4IFXNnXbf3lvB4Q0SG0XLYtTpuRIj3UQ0qCD4ONZhTQYwEtKM3SRQV7QrUqZV27QdRJeu7fXKfyTpBV1kAHZSnnXxgBnP74bs1+QyCzMLjoA0dNlI3yeEr/1QT8Sn+YWpEVYzdF1SY42ABHvFxfsL7+O2dj0gs2w6BeHzxF3LkX4nwwALAEA1FyRR5ujrzNtza1YZgPkXlPfGoBta3PX0niWLnS22uPHDwB4AwGoMdn3ISkSqFve3LTx2SXCp07aIs/CKoBwfH0DEFMOzCGahwYtTbtkCHHdw21D+LG8zjtVrybld23wW7x+o8PXUC9X9TUkogBnhRXIAqqbUD1dQvXx4C1OgrZ27ABg14M0tA86/fD0vg10dOKtG5+hVFBG0reEpO/d3HygOrk8/sHWCc80u7puR6ixNjMuTdk06bMX2sbpuVBPAi/hqGC+R2r4amzaPgAW1/Tu0a4t1HK3ie9bbmoK7Cur+3D5r6vT4/Ky4hQxBaIUiIFdlBq/4XPHZMIFjVizGLMMwP0hZhf+cld9Pv2qvedSfK1/6Y06LPOUDZR0JpYDJwX7yxtMCGUkm6KOM3qXs8xDVHOSIy2WutdljQ+6zXoBeBnKOEMUB/LcZVFZn4+dTCkiPmIKxBSoQwFUyVFnO8RmSgtxvdLnHdJ+a0RSIDU4SVj8yxvdrDov74UFRzLJCYp/64PLNOiYqny7VKvCGih+eA5Ql8ZRysHksq39+N7Wf3prB2PzZpt7lmhOWs9or7X/4wvUL58Rp64S0qC5klkVnZYaacDpqa/x9MItn9x1+TdvrmuZG1Wx93UW6G9mZu3ffnltP70GPKysWRYQNvRg0F48eWAvRodtBPu5HsBYIQBPTtYj5cU0UqUSNlZLO3v2gcV/Iwt/qWpmWey3tuNAC80X5+JEMiwceFRU+KQ6uA9Y2UPFtnR4ZEmCkHd2dttAb491K18yw9SB0xAc37S2HFgrtnotnV3W1N1ue0j+Fn56beNIbaWq2U7g8n4kSM0dHTy7rjZRR8+SO86fY6pBXZjD57z6t6vD0dbNZx9Tmlovp2QZnJMkpYtMYcXyUSAd1Tuax65xaKjfRvr7rYMxSFWklVKnFaDex9Z/fG3dspOEJQLYrW/v2jQxd/UZaW/FLpIARbzjtW30T62+NcPvYQc5Ob9gP756bWOA9k3KKR0R6xcAuQ6oW0eSVwQsZgkaLwoIxLpDv3TEc7ujQ/z3U1IgBnafktpfUV2O4Tn25pYiYloXMWzPyHwnr87QPCtUzlpG60v7LN8HtGaX1i3s2v4vs7aDtK5M8N90IK1Tq52qBtpSzCbsLA53WvZJnzUMoYLTyuRfF9i5nrjc7tzR9+r08rni75gCvzUKXJdXaHd/bmHV3r+fYsG+Zccsull5V8gWKY0FcQYvd12dHTY4PGBdhHDJ57VY80s1LePPLgSvS39BAjmoFHBrZHGomJdHsM5jnD2cADyTNCkJQ1Hw8axCGmBTVyL4+KZi1X2YtUMkS02dSWsd6kH98qG1/+GZpb8bdiEN8vCrBJlloHe6wLxuC6+TPkK/62T77GnFt536/Hp538YX55G4vbW//PQrHqGXcFKStofYSf+nH57bD08e2b32Tmvh+ZB2RjKgq9NjEYTK4CyrK99qwz2oUWJntwUolJStA6DVns1ji+WciWk8BBQOefb2GNsN7MV2UMU8BtQ1sCmYA5x1obrZiTSvCZs552uLOrHNSwNusuk8AK8VFcyWQAVwbGbe1ibnbBbJ4iSAY25ggCDmTZbOJgOQI8XAyw43ei7dbc27Kufyp+JqtYleJd7Xzf196MUcjHRURzqXtjbULzsBVK0A5yxqlXpLVaq2pnMNGawgOgJ6pXFu08jYHUHnA+wZy7JpRL01YAEOnwdlhn/c+y4OsXdcttXtDZvGzm+BUE/b2FkeUI76p02iPdq1tV/Ea+pR4OFU6qNOfycsLTyLjke4gR7ej89iCtweBWJgd3u0/GQl1TLPq7HJ6zcvrMczIs+c/MLIl+mv+9/61rXadNH77rx2EtDvu+rP2dovuSLEtoMp9uy27bxitw7buvQ6qi+VqUuyN/XwmMk3iV1L4fGANT9HDbMXG5csvQgmjtoeujpdH0MVzS+mz5eQJL4dU+BzUaD2TboKr9hDVe3nn97Y//a//u/2XmEBAFKsozmU25cowHZimWzWnjwdtT/+8ff2A/Y4wyO9OF+Qo/Tw7bxKnefRR5K4BAwjjVghw+LeWGAeaIWJ04wG1MMakeYoVl0KKU5ii0U/KnfFv4wFdnUHE3N2AhA4yCNRRFLX8Z+eW8c/Pbfk9wppgD1WnsKVWZWc9kstUdv1qb2ue9c9VIaOkB7u93l/b6PO88q+2XW1SLOZnKXsIMWdQh3y3395Z3/++a3NzC0FQLunr8dePHtof4v92r32DitgvyVX+YkADob1igoCYDmAQ2dTzka6um23f912UAXsBtg1oZrv8on62hbFBgx9wc3dfVtZ2yDu4C7Xee5QIywQVqgN79LNgDqFR/DOOFSbFmmaTeVYvzOdsx4AXgcSPG1YlHmOlrAFnFlasmE2JZrSzTzfbgNCphXuqD8Ph6MYnb/rp60UdMFXmE96LK7m8NoFGevcckYhMggpItVc2dwObBfLSFZTqYQVsHdsAeDKI6nCP6j1vi/6DgA0mya72Cbu8s7IaU0ul7Fmxqi1QEgm1F4lnVcbfT41Qr89xeSVc2UbL5gzC9S/ZQnAZKY5b0muHUj6T/klyt3ZLRP7V+5aXJvDMsO+h/RQLarzamsjlzr+G1Pg+hSIgd31afZF5IgypLts0Nl6QoZ1l/V+9rIVkGifvi7s2AleMMsEAz5Y3CLO70HAlsXAtW+ryTqZyFpioM2yj4asAW+Y1oGdC+Z1Dti5npylY9jDi+6FqeKzmAIxBa5HgUY7ZId9aXHD3r+bY3G4i/pWn7W1N2MjpTcXIMQhIV4ZtcdyuWSTE9hWHf+I1EVKej/YCDZsebxORpe+QaYr//FLRWWAV1BX+gBYsb5nW3hc3NjDu25Hi+V72pG25MBmLOqx4SlNLtruzx/4ENLgDYB0dcua21PWQnu6CT7e9s/PLfXdAOFU8H7ZQh0JqatF67pyA6+ZUHV8inqu2axrJFfr5b5+rYQt1uKS/fx+3ManZmwbINA72GMPHo7Y03sjNoREqD0AdZrzBBdcv0N+LfVKvJZyoQUQ19dWsN2+bjxnFjlH8sYOQiqYIVzjtPgvEythnTFfwsvjFoClEWlTroCzMmzxFMogg+dL7Tu4OlSvvDc6G3YsuImbx54hwEQ2Xo2oZB4ALjZRB5QXT9l8HQbqxnpa3bPtaj7vrwMj1XejT3p0nMNeu/T17zka6V51+upf1TXW+6USBL7lBXOR8BArq6u2j5OZBM5rWqFzKxI7AWJ55fYtVh59to93bH590RaXeIdQkRXQbSXcQT8ObXrxjNmCdFQeRr0GUli/K0kR8vZRwVzGLm9yZsb2SiXrAux3Q+tlwlSUeX+PAHc7lL3FZx+tAPlXc57Dw9KiZ9ftfzRvfB5T4LoUiIHddSn2m06vieZbPyosWDPEJkEMUIU6eTNjJ8StS2yUmKidyoeWfQpxcMLEn+5ptcxon6VGu7CtQw2ThWCwzRqQSuWpsPpHzPDr0yW+GlPgViigBRf/0iyCnzy5b//lv/wv9uzpA1aD8LIA3BEomh33ja0NG0dd86+/vLIxnCQcsHjTwjHFSnoYtcds2i8fXav0RldxwwteZJm76XaCTGnshNJbJTuYAtT98tbmV5atmQVn0+NRyyLxSbE6PAKI7rwatzls6nbG5y2F98t0HknFEB4AkdS1/wuSOoG6XlxfyqZOYsDApq4exdRSfeLDUcDB+e2Dss1srNm7mTmbRJ1xbX3LMoClXmzcHj24h2v8ror0TBsAtfTTaPoBR32W+3mAXRfeFg97u6zMZkIfni3zPHN6agQgPCzUvXXUMOdR2dwE2CWQsLa1NFkHXh6zSKCSgQRKT5av0z9l7vlzfxUoHZVAQJxKltROnjjLAAxdcznVPl8Gp5VfgqKSL5UOy6RXIPXa3lXncTmv9lc1NgKistgcCqC6tno6Xa0MpVIL1GtB020A1uLaJlJJVFz3D5DYEeYAG7ocmyC6vwcdDhtQhSSXAr7v8H5Nrq/Ym3cfbB4J7AmStU5i/t2/N2hP7w3baHePtaRyEfBMIRwOojtp7t7Jka3gMGUOKegqEt00EtLe0SHbQbo+tQBYJOyFJHbbim1IXMK90oEDdkE54ZMRFBz/iSnwGSgQA7vPQPRvpcroFHCWffsJqV5vHcsP71yUNkz1yc7UMcWtA9idvJ8NQhwkkNzlmG4wuWbCaghA3Ta/E9hjZB92W/op0rrBTkAdyjnaRqw61N8vrI9V7Yt/xBT4VingNmKSiFW6cDzx3feP7e9+/x27+NjZBO8kC0Kk89t42xtCWiMgd8gCeXlpxf77//tnK7Tm2eXHoXm6qZL+LJ3ELqK8sDaF3n5pSAZqlntI/Oc27BjPlsc/TdgJi8eD1hUrLWFPNzTMwjxh5akFK7Iw3cGOagPVrxQhDXoAl61/+9ha//DYUi89qKNkuc6sZTe1DQh+K1E0YbTVF92rW9hXfVH2UVvFXZucW7QPxCZb2djmGTi2POp6/TwjI0hnuoh3Joccl/FtSdfk/KYJENePU45mYttJ4tPUVCDOmoKHu+dP1BYQ2VfdqGqu4dhjh/AFsqFrx66uq7PNmqm/AWB39mlSO9whyVCpXLZd7LvKqPKqL4qRp9ALwbRDdpVQW4YbbSTYtG2djYJpPHmu0u9dgJDKCGen8CyUham86HX9dm3yrXW6K4RtBZyO4D10CAAlVVTXlrD9ylldVv17DoDiMAXJuaSRK4A7BX1PIN2Ux8x9wOw8Us+j/b1gD/WYd3gHmiwBlj8srvDhvTo6sKF7AzYAyFYw8ReAs27CQmRplWSVtYcgfJnPClK4txPTNr+wjAfUlA32dlp7VyfB0rcDddl1VKelRr2PhHebOkvwC0dD9UVPhEY6PmIKfD4KxMDu89H+i67ZTUeaJM4yQDW8+qqzFXO645d1q5qRu4lB19zE4SaCy8q4q/vUro6xk2lFTlZ2bO/9gu1/WLb0ZgntSoU3cD2X+d2+PGHiXlxeMBueDhqGFqzeKKNuJ8I+3lXr43JjCnzLFNBrFeU7dV+zugRwzi4CF7cNhyyetXyTzJ1z/jaCulpaUjZ6H3s1+z3XGu2//tf/x968nrCHDwftD//wEsmYq+1MnUEBYbui7QuaUtHPErBLlFHG2yri5XLRDl9PWub1vBVQ9zrOrNvh0r4d9e/gPAWJyvSiHeFdMYFjj2QLgbCHAXUVm7rMDwppgPql4tRVvAWGtQc1nvnjeHmt4xfXEyffqX/vsnLPVPQVXFBP5SV1HdurcUIGTCPV2UXFLkncuLa2ZpwZt1h3jphwOD0JTDHr9kmjrI+jm+zsGlGPzGD31oa3Rt1KaG4IYqUpnS5pJnXOQDZKeFPcZG6hDUlUBLs6W5DwtSKFwtFHHWDnSnA14t81CNy9K2ciqAhqPsqQrxn7L4GQRKCOq7nU5/KAzKldCnJsEj5hAinluDYOACcl6OHlfGG+M096pMzwns5Uk77BW4FtYQN2cF1tSCyxFxSFwtQkqjqq1wLRWypTb+gOErs1VE2l8ihbuWZsF0Xbfd6NOYDd3iZq0gBTeapcByjPoN48zaaMAoqncSYzeq/Pfoek/ndDIzbI2BRo5Hnjqq2ebcDgHKEl3k7N2i5jNDrSb49GBqwR+8d27OwKeYAhm7klpIeysdtDPVSSUgUxP//QGET76sfk/BzxnZgCH0OBGNh9DPW+ibye4VQzm/MAnbpcj4WFoK66nItJ5KYFx/h9O6I5Lirruumj5V5wrplvj3oXNuwENaiD6RXi121aM7Z1mhDkCU1MXPr/J0lA3WCrNTxiQYjtSxCQ/Iy07oK64lsxBWIKXIsC5y8S6xej9MGSOlBV9MtFLRk9uBOPUcDpBmvBscLI6ICt4Y3yz3/+1RYWFmwPL3rHEpNw+Lr1qx4PDBIFC1nxpjBPGmlCgliYDdjOHcwjZRibtf23s5aZ37AuvOppkyiziZxnvojHPlqL970MVmCtSP+b+3ut8Hvi1P3xuaUVfHwYx0wFypZbzaCO81tS/456Ed65aNlNwm/yCKQ7gJuF5TVbQnJWQu22rTlnnYQ06MbWTfZyoQOT6KhXk8PNkaKlnJ3wQf3QOb3XlTCfQJNSof8BUJFNnLPNOkCFrxmQ0gmY7CJUQZM8OPpsp1WFsqUykqAdpHVbeyWeSwGdEh4iswGoa8fuTPmdKqfkXefNncxgUpXEkUgOUFnGZq0BaaVLTSsFDNXY0/afNqRyInh6ppFB8gSgNI39WgqpJcQIUtVJSTn15u7qeiRZ3GOW3aKP6ztFKxJaQGqVWSSjknAqxl2CfuhNVnO1RXMEGD9m7BTLbgPpWgY7uHK5A8+kSWvBw62c4OBmiJQOZqvGoKu0R1s/xeMDW0Ale3Jp2TYBbLlCJgg030+cvD36I/o2EZs2BYAuAiQFrrd4V2UHKBZxHsVVz2V3XZr4b0yB26FADOxuh45xKWcoEGXeF7E8x2bDCcDvHYrlanKol1dlu2nVTTLKrXS6Xi89l69ySKdGHpW30NgfX7W9X6Zsd36FUg8q7XCtCZymMCFn7jVbAVCXfETcOrxiMoMwoandru3664+wf/5K/B1TIKbAzSkQfbtUyuVvmOM0SlrLI/QbpxW8vgV2+aWy2cRCv5F3HN1IFX6zg2LFkTIgt8wuS9XFbdsnZMreOGELloiVBqjLw6+C3f4yThhWUesKckgzIIHnwxbLPBu1pr+Xo5QRa+hHTAebCUIaXJnPiS5R2nxEf25GhS8ul+RTRVTpdrCR2gU0SI0uDyDpQB2yA2+LGcCBxs0v+8/rgKOkU0JUmYJHorTfAAwBkEtTlOOUEnZZgJQigEXqn1nU+jqpswuwkk94D6zhGOlMMERP6B5gYg3V3M2tLSsB7igAh6oJE6jrQVpYAKwpTp6bGeu1WoCPZxz7tGHUTTN8b9MO9hzc03T6qHAhqDjy3Jye0hrdq3qm+EnB8uraiuSyG5CaQTU07L/SX+8QPXdwZrSGo5kdQLicICV5QduRnA33ddk9nNQUGKcUNGlk40R9KKCmmc4lCENQQm1y0zY3dvAcumwTXQs2hLSuGfvJNsISeQVRNTroJk1TkPot7BTHsLmcIB5hib60I3VMQdsDaFyk/iNUc9PENxSgPKHOIuBvm+dHGwOB8xTK0zPgnp3r9TdOHVPgNikQA7vbpOZXWVbtIuemnYiWU8va9Nvf13d4X5OWJolDGOXRCW6+YZ7SRnE7l7oXzcvPyhEwZDkaCD7YujHbEAqKo356n6/627ej0jZtguOK3FbLVnqDQf3rKSstSlqn+6czW7BLeIyaSQEpXcvLe5a8j20dqlyBJ8xKsmDui1SmaT8sIXIjPo0pEFPgzijgFm5+qVt531F3rGhIRt5JLSVx+ID6XIqFWwDq6rTKLwRPb+kC7MG/2/5bK0ady69JhlVnZgu36FNsFr1jswhVzBSgQu7z02TWQpOIdsFHkgfBuhyLyvSjEUu+GLXEY7QB5P1S6pdJZBQ4i3Ar79Pa+F176F71fTU1vFLbk/BOZVVfW+A38Vu9Flg/ARAoxqHiyMnhiAJMC9S1NGUtjbqenhRHkVo6RckgRyyyy5IqINKhQ6lGItlBqiSNfF+C5iTx/z2Aysr6pq1izympUgLw05zPBWClkMAjalBr0MLTSnztki9vAjzmkDKurG/YAZK7FMCmBRXMHoDUAFKllowDLa7dNXMb9UurRqCzQFiPRmzGOgotOH7myaOS01qDzP4XP/xptDtcbPAvUKWlSqY5Ow34aiXYejYAdpWbl3z5Kly7VaVoikMjnJQsExZiGxCrYOJNeA3t7W6zB329dn+g39oYpwDYUYD6cIjTk77uTjvgnZvFk+bWNKq2qJsWWBi0Y+8om79Mdy8AWraPqs3NypKYF09w0oIK5rvxSZvA7rIF6W0CoLyJVPUYlc9tnpVNNmJwWkvcQcaT9Ypi2u0yDvuMpX8jL+lqfDumwCehQAzsPgmZv61KPAO+ea8ElHRomkEFgh22KeLFbG2sW0E2B+yYF9Clz6AmIqZ/tj6nU7+1sWerKzB+dOtb2/I2NNIfqEuo5Osf1CLbunVY9Ox6EN5gd3IVOzvsXIKpxs1xgVUOKjfZjrxliHOVeYl61GBLxeaFWk8b6/t4/ZbEOWIKxBS4LgXqc4rrlnKa/lR1U+VefOiVP33ta5LK+WYjsa4aljftiFAKJal3L6xbvniAEwc5Y9LhVOEEEuRpVxDzJEmJTSw/m1mgN1FIluWn0IKM9ZzIJMh5tT9qne+Hvv25z13vmr/3bX6fVFQOxaXlsETeFpsAPE1InATszhvPKDWUt4QUbhMHHmsA9RLhBgrkb2xH0gO4iZYReGxEfXIRm8o14qLJI2UKu74W5rnWTM6aUBNUoANBxdpDMiBJdVeR9E3Mz9sSUqgjgEahBcc+eFQdwoW/AqI3NaaDuSrYaQhAYliSa4tKUlB17DbTxHTjIxB1k9FXedH++TIEYQO11Kq7opQODzZ1rnqrn8Po5qckdCtIJqUuK0cxjYCyVryHSjI5AAAfzALCMXtI8rZoFaGy1JcCapELfVusB1rxZL2ASuaWTc0lbADPmKMDfdbX0QXo9EHj3ZtQBtwuIOH7MEXAd2xb11HjTCIZXEXVUl5MMzwPe9B7gXXGDh5Nj6R6qfrIJ++5O9hM7hyXDCiojsVHTIHPToEY2H32IfiNN4Dd8/X1Hftv/8e/2atX7+z+/UH727/9zp4SIFaewpw6hyYETQ5uYmCzDBC4a69/Hbc//cevNj05Yy9ejtr/9D//j9bUqwByVz38hKMpikIVt25x3U5+ncMOZplzvJYxpXrVDWlpavGVTGYsN9JpmfvspMsTZju76RnaFsx01ZPVVVsSp4spEFPgYymgdy+63Dz7091Xmpp00aovuaXbqim6TPXZJclolDQj+AaLsYBPELPueByHKKhg2jTu01HfcnxFUVG0HFV5qJPxrXNJK4p7W9awMGvNcyxg1wqWHKI21EMRF1SqUkod/vsivuPv6dufB5l/c388tQLwATCQSfQJWiJB4HokO5LYBiojdSjjKKcSnGqk7MA2int411ywedzin+B6f6CrI/CceAKwix6HgIBtJG6LK6tBwOtDHJbkUR3sAnAoOHmGNmgx5p8pKU2qPs03kijtIGGcR6I0MQ2wW1q1xsMT6xnosudPHthwPx4oqc/l8HNatPbwXK0XgCojYTxAwnWC+YF/ImSJcObQzdrrXPPtrE0vdcxA4nkKjqOZwzm8/nPoeqAySwCqdSSTiysrQby4hCSBqCb38GnB1i0HGBd01jgqlwOoqht4zD3IGYBhhYWQ90qpTZZQv5V01h/KI9puA8zHJ2ft7fvxwHZR6rEHpF+bX7RtaRCRRuO1IU+YxLE7AsxJDVZlyTun1GM39nesB9vCptP3M0qhi8fEtyf+jilwWxSIgd1tUTIu5wYU0KTSiJ1DyV6/Hrd/+7cfUZ1YZHJNEdcHF8O4j04xQbhJIGSUsolYXdm0P/3ptf23//NPNs8umyaU//yf2e/u9elqmam/7pup+5FJRzoWRa7N4KHul2mzSVwdbwrUqYVuItduepmVQPNAq+UfYlt3j2Dk7Ri94AXM7aKHk4avJf6OKRBT4C4o4N/d2ndOv/298+t1Kc5JpyLYcHLlnJMGvlB/ceouJ1jIy2llch8JDFoFxQ+zVv4wZ0k2pFIsql3YlGhLfT1apKK2h21RcQGPjTNNdjjTaq1DqOoVcOmBmqjLVdtvLsfHlSggEJfGs2EexyNSwZQTkxN0+WQrJe+KB5DWwW2NSZTOmq80F0iuxqKeMV7HecYUdllSj+zoYL5CYpdA+qYxcjlVBnmYWraxFVtBtXCLmHmH1NOM3VcvKn9tOWzDeNzcLKMtTAdwHPBotC3UBCe31+0dAHKKua6EQx85e3k61G+/e3jPhlGrzGIP6vM7Imh+C+c8tUUzmRR+14nRNinJH9JD2aMd0nfdF7Cr0bAMu+8fTxVOYgk8o5camH8l+RRIlZrkCPZszTgZCdOoBh2SSOoZPv9QSnmaXCN0wQptlEZPBrDVDr262wn8TrkSaLvVg5rjeu5UKo8AaoQh2MK5TBElWfqm+IBSeVUoimQA1FxbpEApSdz85gYqrsu2y/hIrbWlvWBppKlqpUzm1Qepwnaw7pD31B3UPHca1wCOxNAj/zbOcLbxcHqAQ5eKPUhN58JxCG9ofOIjpsCk01kzAABAAElEQVTdUCAGdndD1994qdWTipO21SMJLJO4TQfsfm2wq70wp1g17Hr2Ttjzl89saGCAOFJRg3Kxci16cEk8t2Zvfp2093iX29nbIdgrjFXK9aeHmKn/XY+x6lplsglmEtLu7Nvh1Irtvp2yo7cbgW2dzOjlzjqYNPguoR6aH2nF9mXEGhSQHG9bocMUElQOTQaV0oMr+h0fMQViCtw2BWrftCuUL2Og0yPKJ+AY2PlKvcrZXlUSRV/k03w1J149km8ty5PkSSGtS7LzL0+Yu+NzQVDyLItAKZhLBbOWK6katUyxzwJbY0kEWMRvE8Mrg0fNFIHUg2qiza/iMjVtqvqp5e9VOlKV6Zv8IRDSBKDrRmWyk83D9VVs1lD320QFb4MF+j6L9aOUFGLPHqKi1CIVxHoDSc8CXjUFkI5Bbp2Agp5uVP1wSuKGSH8roAPJ0S5jqTp2FOCaW3nZx3UJ2MmbZTXc0cwlhx57bAJMI6n769i4/fX9B1smf5b093DB/8PDUXvWP2A9hGeQeuVZNU4//6kfeippO51aRMXxr2/H7c3YB1vFpf8+0jHBLd9fpfNHeOau+DTB9ciPBgCTJGW9gNuDvz3EGUwrAEwyNZ/Il6hvtctJwurd1bUyYQc2UYVcR5VyD4lbM6EoOqBVL2NWyKaDOdm/PypNwKvIu7uyu4365qqtYhdXZCwFeDsJ/j6IGmYX6qqyAXR9ksOVY5ysrAcSV3neLKDi+eD+kD0eGgrUchv1svFfWkNlKtvhzfx1bs42VjdtGcnpDhK8AwB6cZ+wB6jhBhLQoG+1VKOB8RFT4BNSIAZ2n5DYv62qopPKRT1nwmGWO2CbVCqWjex24hHa5mdWbLp73kaT/dbc5CxRVEqxeGiL88u2yG628jSQXpoRZWJEwWM5rslUNYsEui4oWgLqShNztj+zgZqH4tZpkeZKVNFHMggfarLG+0jqFOKgtxVdK1+lCqo+rtmS6szxr5gCMQWuSAG9aWffvzCzu6e/waI1WFf6ZaHyurdcXgq3tghyjKqbbGmkWleFASsFKvu5tQHG5KUvzQo6yQbUIardJdS8yrNLlmKhmg9Uu2WH5A6p2kleIv4iNqTfCWyl2jsL1o7TlJMHg5Ye6LEcNj8NgZfOSsZLv9TTc1t5ae5vNYFoLdDcxiL+4eigza4QfgLJTpGxmccmaxpvkbJZayZmGZHooKH/58b8ADCwfVwmEDZqkTjmmCMWnvT+evo6A3u3FgKTK36dS+0kYYc8E7tHZVQxFeaA+HNIlFJynMKY9nbJm2U20Exx84XmQaSHtFPAcRrVzZ8/TNmfXr+3aWLPpQGkw8P99nfPH9vfPLqPt8dW3PirrVecbyWtxJawtafDuvCImWinPTz3x4jqAg3iylPj347oE6TzenOau4aJApl6CoRdACw3IlVzqaMlRJ+q4CWslOfeAaUXnN4HoEltdZP4dYr1dwjIS+GQRiEhejs7kbyx2Qvo0hMeSE8ZE/xm2jyStF8Av2/fjgG+NjCZIJ5ebyfxKYft4fCAdUIrqYnqkGqlpJWzrCPGJucAhsc2yPPwZJS0Xb2EofCeUd1IFuERuzwPu0h3O/CgmuZd1CgfsnmzLc+dtLOEWuYxYNYdnlpRip1Hi0qW+CumwC1RIAZ2t0TIuJjrUyBkc2J+MmBPWz8er9pg4POoijSjetTBAqe5qYP7AEDUo3bwkPV+bMYW2AVvY/euj4l4lx1QuPwFh6YLV0fIZjWx8OuQT5Fl1Ryeyn6dCYKRl9kVzQULMDc1KSVLPEvAtLPD2NY9wbbuHm3qgIlLhyY49H3FybWSI/6KKRBT4LYoEL7ZVSUGfEELR72ffAIVSy06xTKckrWWiIENFFKxiYkZe/PmHS7lN3CBT6yvQgVQBTk8m6nPbNQCfeS4Mo1ad2ptD0ndou28n7ETVMczOF2QNM5Pug7MaREPGyLnAXG48P5k6X5c3z/pt9wPD6zxb0fMnskrZjOFkvOcblaaF39dgQKK9dbV1GzP7t2zDWymDnCKsYQHxbXFFfvwYRrvmAU7JPh0ByqSGdCK7PBEdsVRk6qm3OLPLa/YFIC9iKSvv7/bHj0YsR7mI9l4STYmdziyE9sDPG0hcZpcX2NOW7Q9pGXHSHgaCI0jjCE1SMW1O2JjUlI7uXeUd8eiPGiiivh+asbeTkzbkjYGKPfevQH7/fMn9vvHD+0+9nwF7L3lQER1XuWgVuvG4+rvXr6w+w8fBKqIByC6Y70aKgCQqgNsWf9RCwgRJKn6o8tScS0AeLoAPvlAWhdNohT1D9FKUtAiHiZ3kHCvy26R+X8NydsBWjSN7NwGapGMxT4gb4Xx2iTKXQAH2UQJHNgwJh8A2T//8sYWJmYtTQcUFuHpo1H7jn7eY10h5zhlnN1sIDndLUnaumGvAIIfAM7tvV2ot2K/BzCVs5TQ9hUHKWzwlBiXHdqxDV/QsyEqiXuc0GZJ1OXQZhmHLW3sBLUhsU0B7v3mTf1e116Njt/5tKrNFf+OKVCPAn6OqXcvvhZT4BNSoNFyuRTql/3WjcrF9MwMOvsn9vLlA9rQzkesNGE7m/v2YXwaYLdinZ14BBvqs7n5GWYhVlPswlWmJ76jIMvBuvAetzVtiZfKY8EO8+nMlm0B7LanFiyxRVnBTU0dAnXCfyzIRvBg9mzIMk/7rKEPRwY52nQat45EVz7Ul9oj2t7ae/HvmAIxBW5OAZZYaAWcsHo9OkYj4EibRH7qQ9bBgn0TBwgT4zP2f//3P9mf/v0n0h3ikOlxsGDP5nxacQ1BMy28/Me1SmXrkPZWkvJSm0VrmFmz49fTVhqbR1q3R04twB1nEl+RhG6X0rYp65jAx9mhdmvGdjf7ZIDPoDU8QjMAJ03Wgx1vjvq8EIR88XEzCoijS2mxgETpPvZtR08fWhaJ1VvAyCpAYnYKsIYN2ntUKrtQ4WvCZiwJWGtgbjlEIqMwA1K7lMt7qUQO9HTayGC/9ZO+QIwzWZWdkHb/oGRL2N2NAzY+zC/YDJLBt1Oo761sEYbwiFAHB7a9sm5/BYgsUmdKdfDwlAANJcDgPt9S85MUSCjr8b1+a2fD894IqoIjA+wrUl+CYNn0xwUjv2z+kGxL4Q5QQ0XCl8knrStPjDZ+a36rN0OKwnrK/aFnVkf0mrvi/uq6FFj0mMqGVPK0iw6Vp48cnEjqNQWwfj89E9BqcmnFZpGkHQPYEtDhCI+ik2NTxH4s4yhGXi0pnesKWSHwvIkkdEOAj3KakOi9eHyPtcFAAOyej4xgCp+3E6Rri6srAOVJm0Q6O4PHzUli1smWbxvw3U34hwF5Gh3IWq7ikVveTDeoe5r2vCdw+a9s/Cxh63jEuCQZr2OkfitIUt9KEoq95THP09NR6kNy66jtqXYRJeJ7MQVulwLhjHW75calxRS4JgWckXM/ErjW1jZ79csrW2xEzx6mW8Z2Tu6oWS/hIavEzucaHrM27eGjR1ZETSnNvWCKkCvw4KidUP5/9t6rO24s3RLcQHhvGfRWXspUZtnbt29Pz6y75qVnfmm/zFO/dc/Mmr51y2RlVVYaeYne2wiG97M/gBCDoSBFUhTFCH6QQCCAg2M2cA7OxudOeRVJMn4pBZ2kNFZyKLzZRH4jizi/H8p3V8lTXnrySgRfhv5MAoGHk3DfZ0DyJF9fXpZ3sc9yVu16/3GmfL3P6lFFQBG4DAIy0aZtEVUjdxgU/KcfnlOdm2HATfl4Y/VsThDbOODX+4WFRXrmfUWHDVnMzIzht79/irv35uCj8wV7CmqX7/RUkWqcXKi2x7JcnPQZlNCBwchbr9fp3TJHJyoVDhX29Fkuk5Kt1aAdUpKx0+ZI6h5NIPrtLNxPp2CIRkDczzAHHGD8HH9knHk/jH1Q8Mlq6K8zERDpVpDje4Zx3/yjo0jS4clILIwXbxexQuck4hClQvK1T02QANN4SAJFmtamvZvBl5Bf1ALpzXKaHyFnxkeQICEQIiCKm5K3PFliN14kOduhyubGDu3w6E5f9EZSVL0MsSwJLB4LhSzHG3WSQJMfBkQFs1arUP2QioUkLRKnLk4vkOMMaTBFkiIOSUTaFqXkSbxoeiw9Emmq/Ryf1Wj70bHDHdjkVgiYeJaUJ/v9g8X9k8vxmZPHT/slfUMe1XOrhrJES/WU2Ercuk1Kv9ZpH5fjfpBqp/LhVt7BMRJssXvdpLqlTetEuEmyTYxL7Fsi6ZO6i53ciJBtOpaZofrlZGbElryyIVUJS0AHKducOwhx3KJ9pISdEDVnD8WyJap+Voi9xDgE76d0OImTK940RYV2n0T8kPORIG38JiaHSSrp8Zb3McTfLdZf7AEPxGaRkj25Tuwoz48Di9NFEbgiBJTYXRGQms1FEJDh/+TCD17UAnFZceyifPGZVIcoFqvY50AvqpahENUwGI7gkMFdhezJl7pwmBI0esoSXXp5WdmTr5OvJlsFSx5zed1QwYIvT4MBfq30MoDnqQhFmzos7qGxmUdzV9yO+6izLzGlRKWGX1f5zyOD/9QQzBmqRY3Qtk6+4svYr4sioAjcWARkXBGPubUGHS5R7eq//tf/C2F+lbfHC3tCLGNCnWqSNU7IwuJt8N4Mfv27r/Ht00ecJKatgOV2A2XcsglZm06frIXDDYuwVrfMBznZ81T5oYjedSsvFukJk8HIOY4JqZOJfZlpLX0AqmqZJA0BetiNPB6Fh/EwZTUfDMOYjFNJgbIPnwyKdjGdxNI5otvLISCQCgETFyduhgnwDNGrJMn7UCZD5ySHViBwkZw1Sc4krbxfvCRzIgmSsAJhEsEY1XQzVL1LUqUzwLhojuqe1EhUEn2U3iUpYbtLchYZHaanRtrxkfBLXDSx5ZT3W5D5RKilIm8vWeQ7o8Rvq9PIXGKkSQDzCINyJxm/bZhqgik6Wwm4JFadTSDPQ+isjI/+SCny9Moib8mjJ5h7H76PJc1lF7s1Z199/JZmW6i+GaTa6xjJa5tkd5T2aiX2xyrJtThRkXe4jx9vBf8A04r3TVnEJr9JQiWBwhvs39KMEGMCJojTMOcFKc4PorwPXsvmkb2P926I/fkB5xkJOmY7JBmU6w2eF7KeonOVcUpevRaps+svY0eE91icr7ippjk8PWlJ9yq8Tu6jOOLxsj4BIeEkouNUjw3SO6Y8A7ooAl8KASV2Xwp5LfcDBDhm00iagUhjIX6pDNOLWAFbW9sMGrqLidEAVS34tW07a72UJIC5BDM/4JdQl+X7+PhVcbwnRYhSSIjqMxEU85zAUZXG5+UEjqpNBr/E0UIdeMcYRG+3aQfDFy9f9zmuhxZrEz3NKmIc6NO0qwvMceI1TLXQML+k9yB1neV2D+ud56RW3eflmC6KgCJwlQjQbomhSDKjSTx+OIW3nnV2PH7hJ9GydCY7RG7iIkNs6u7eHcM///O3eEpSN0ZtgCBt3hxlNfsjkVA0jikkdiIJlEXULz0kdd4qv/7nGzAZgLq8uoOD5S00dqjnzSsok7FULy1lTE7m3ZkIghMkFPdG4ft6GubjCdrtUu0yzbGFH7EsnTbJ2BrtdLQQnK9uERmVYCuKtZy4007NS6lpJpGiIxE67xCPjCXbe2WdZEwm6QESvyg/7kX9Qq48lmm1aHXIa8CWxDojvJ2nj6QsRTIWDkUp2aMEj6ebIsLhNbZLFSGAVAullomjaGLVis/k+/NMLfaAHl4m5Yiao5AxyeGipI4XnFhOPlE22TuR4MI/LkYOpXz7DkibhOQGMJYMUBKaRlWw4n0R4iaL4CI8yWo7MXPqbndfGy2nBXIvPEzsZzoGB+E1QoLlTvMY70k6LM5qYpiTMiys7XNyj73MWDSebTVSKVd6PFVX+QFmjCujSlh1E8+iUrWj6jEFzTR4ndwjP4meTKplvTgivEgXReAKEFBidwUgahYXReB4GD6+0h4q+SETiXgA0/RQtUh9+8XFdcQY0y4UiGOVk6Vl2t75/SHLrXQizmNrnKxxcQbZ4/zsPQ7zfKFGaZuXZDgF6sNvb9LFNQ2rx0MIcXJmbtXRfL6K+stNmJv8WkoSmEOKZnd+Tsby/GheoFoH3VI/mIXn0R1OvKLytj0q8bjU4z2nXHsrKT9c5Nu9vDKcxcHD+a1bRUARuAwCTj90+pZMyJ8+vU+nCGFk9/OWPZ01WlgJpN85KU1KZdx01pTA6Ngw7ZkiHGdEWU2kNpKrWDJRsYoqc+0Wp5iOxE5y4GkPpTuBWhPuA6pirW4jv7SNwlae4Q7qvNKklI7Xs6h2lFKHuRSiX40jSELnvjdGCR3VLjN0jhLm1F3sdj3M8GhW6LRHsHBqKvu6XAUCYm9nqycKARDJTpAqeeL9OMEPAlVKaix7Opm485hXVsZYladCngkhWDbJkrqcvFNCQuSOiQdOP1NJmFRhJlKapJTr5ZD1q+PGHn0rsM7xtJXOfvLsJ9BOaksS5fxpi1ObjqxPS3oFxy9GYY4LlP4nvcN+tuWN6DHcFrmy629/UpH0Tgn29qh1HzRODgjC/KBjXeP0XcnBzsMixyzDTyLX+daVO2pfJ71c8rfPynEhnvzcYj8fvI7fcI7uHneOFvs5Or5HkpeTh5NGt4rAdSGgxO66kNZyPkDAfj06h2Uw5cvO3UKMQUjv3J3C3j6Nm+mtLMovqeMjM1imkbmsiVgU9+7N0itm3HLi5XzhlJyOhnwrU3ntyjBdyLuwtlbHP/62hXdvX2I0ZeIp1Z/ux30ILdND1nwONTpPkVdCFVGsIYItDuWiihnj59ToUALt+1PA7CiV/ek0xbyKQdt+cVgV1T+KgCLwSQh09nvJSH7LNM9DNbpxei0coZ2S+Fay5oLyR9iYpJKZtHUxp9rclQ9L/OguCfjPkQ5wMsc0lUqdbs3lPKU2Pk7leIFkY9nVkfC5qWfZ3C5h7x09LC4zHAsdqHC0IBHwUe2Sk8kM443dpaqWkLrfTFH1kuMJHaZYhM7DgoXQWRlK+VItqyL2D/175QgIunLrZYovREzut0yI5FiAk396NOGeHJd/slguO6w9548cl+uOF3kb2b+FLApJsJVw7RRyxkkt1wqxs3/bZXSek5Ty2y7Dvl7Igl0X53fvraRx8uqd4ssftdshHzmljeJqRN7Y4h/TXmTr7MsRSS93xDnWCwcHTfvOHb9j7bSdZXx49XF/77xOShNzDLn3tndOUYV16sCTVr2ca+1c7es/LEFS66IIfH4ElNh9foy1hFMRsIdf+7QMgxzYuYnHg5ieHcNzxu7ZpeeqlcUNbN7dxeIyvWHSrfD4+Bhm5iYZFiFiDapyvTOI2rkc5yiG2SW6N96gU5Tnz5/jh7/+nSo1Xrq3LiA/MY2ZbRcOt7xo5MJUw3Rjk2HJV6mMscG6iCdMV8KP5miMX9VpVzfCr+pi92LSBsIuwvrrlN1x6Mzj3en0tyKgCHwuBGyJjNjKWLPC98U4I0Wv3mtP5uwLbJldueqixJ/BoleqlN4kqKbppxMFTvnoYRNNKm/Vg6gXg9jfNLGxVKXXXqp5Fzz8RESVvIgPyckgbelGEP01Jf9P6fFyJsLxhBlEqMAlOlwW0ZTKHY8sTg3laK9aOlNK+5rj6yS9LudDwMbVRtqW1HRe52AqW0kjspqPL3ZuQtTkuovQ88734TG5+HiJvVPYbet9zmlR77NXcfT8bbHr+WlkyLlTnaV2t8LB46SsrjvV8W8nvX3EJv/OWac85/dxWtmTtTuFk1K3isDnR0CJ3efH+BaU0D2IHQ9zZze++zoOibzUS/WpNNUvxSNYi/pLmwzy+/yn11hcWKNnqxIikQCGUjRy9tINuLV8mI8zKZOXq8/XRDTapE0eFaJcDGTKyVmJcYiy9FA2x6/s7h0aRlNWx8hDJHRuriR7vM5Pj3XxmSEMPRqDd4YqmBFWzscX0PtJmD2ESxWcFjs1cX7b9dO/ioAi8GURcHpmZy1kMnnWVJASf6pclhmUeGOtih//UcAP39Nmrh3Awwd1zN3xoVrgBL7hs0jdzoYfb4suzC/5sHLg4wgSRzrgx9eP6M3wmzRCv8lQSjcEY4IfieKUEVkhDKReTt1k1Dg5cjjkoLPWun+VCJzE+3I5d943534eS9uO76/kft7y5Lk8jdx1P7Onpbtca67mqrP6lvO8OyX1xuR8qZw8rncrNe6un10DOdq7PddbQy3tNiOgxO423/0v3HZRUTm5yKBI/XgGInUzwGmSHqbisRgdpBTwjx+fMdRBjt6zAogxgGyYnq/kW2jvIdR58VHiRhIWCRuYmY7g228mkd2u4h9/OcDqogfZN3WsMK5V5mCYcjoXJXZZ7JPclVkHMaaOJaOYZHiDid+MwjsZ4kSM/uysuHV2rXuV3evYyTaefm2vdHpMEVAEPo6A9LvOidbJfthrkumMPaedE+U8KsqR2FXpzWF/t475tzX88HcGHc/SLftyEYd7Iapk0h16yYN8zo/lRcYdc7cZI4sS/zw9W/oSqEyO4uHv7yHwv9C75lNaZ6Up9ZHwBeJnnmrnJwewXpNCpyWdrXPwkGO9jjvndfv5EZD749wjKc3etwn5RUp33lkXucZJexYJdNKc3HbW+OSZy/zq7kOdfesy+fV+qnv1Dif387XHqZdz1adtpczeva/30U8rTa9WBM6PgBK782OlKa8MgV4vsaPBUEZLnhYX0ym6ix6l2uX2zkvaxi2SzPkxRxXM9FCc3jNdVgBXSd49qJ/83WCcuxrt8dx4xC/n9XwSNYZQqGxWkNs0ME86R5+YdJkii1xZsLxixUwfhicCGGdA8tjDhD0h83JSZvWYTvWa871UT9bJKkz/KAKKwBUicHYfO2tS1/uc9eFI4oXxI1MsEUYqlUQsnMPWkhvPf2Q4gyI95cW92Fp1I0+V7ncMQr7TbjKWlYGidxjRiTRiv3uMoX+9j8C3LGP0AG0f49sZEvDAGbc6J4Fnt+AKodKszoWA3I/O+3Oui25pot59aNDB0B476He4P9unxK4/79sXqnUnIescyC83vNmvTcnHWeUlaq/iTSzNgOB370zi5fN3lNoxcHhynL/H6REzwRAHtIGjJzpGjOUqUzCxpfnwJSwGzzDqJHcVjNHFuPtJCtm3Fey92MHLpSz9XpboCbNNWV2AhC5IyV0DCeY5OcZ4VvdTGJ2N0xU2beuCVMFimfbibI9+WpvOY5fDozM33VcEFIEvjQDHFYPeLgP8yDMcxaPHAexuRVEu7WJlfhVvXxax5svgYLuJQtWLSpUBrfmhyPSaiI+ncP+3s/j2P9/B3K9SCA9nYTDMCpjf9ZAFGYM6xyEZnzrHqC+N7U0rvxOvTqw6Mbxsna8ij8uWfdHrTnvHO/l0PkOXbdflrrvcVU69O9vlHOu1lf55uaUTme4c7Lp3pvi01nTnr78VgU4ElNh1oqH7ZyDQPTDK78sOgs51kodMnqgySdLkogqmi04OZMiTbSaRoPfLabofT9IbpgfDmRju3pthkNGYlZ4iO3qxY7waBvqRa3svMpjWLLM4sd2LBZvIBNpI0V1diCSODtApoxMH1kLqWjxGGz6muXvXjydPU0hTBdMQcZ70lJ5jsdOWztKlzJ6JOxPpviKgCNxYBMRRhvRhiWPGOFvhGmbngmjWoxyvqviLcYilt/tU6a4yPqa41QhSibuBKMeJUQYzfvDbNP7T/z6Lp//kRyqTZQBsSupMOlQ5Ile9Rwdn4td5Vo45x7l76cXJ8yryunQlbuiFgo2Dj1TR2T8PVk6azmucYxdprrxHTnuHfSyfXu+gj13T63x3+fK7M+/LtKtXOR8/Jmh2luag+/Ere6XoblevNM6x7jY7x8/edta1V0o5/2lt6JWrHlMEeiOgxK43Lnr0XAhcbhDszNqgdCwY9OLe/Wk6OTE4KUqT1IlrYQPhiB+zM2P49tv7qPNr+Nff3MccAwhHGcDcxevcDDswMpbC48dzmJoeoS2dRJuRpfMlKUOqTNKqaFfyqB2aKB8U6QVz1zomthAN0rk2v7WXSABbjGXkTzYwMe7G+N0o/COMfENVTntUdvL99HazcF0UAUXgBiMgWgD2hI3+cl0lxrjz4uETOmwyIoyHlyGhK2J7zaBNro8p40xLtU2OWZPfpvGr/y2Fb/45iMm5Irz+A17DoOjygekox9ObLSXapZ6eRs98fgScafh57sVV3bNOEnVWC8+b7qw8us9dhPx0X/t5fjt34NNy72zXWTme5z5/Wk30akXguhBQYnddSA9kORd9wXQOsgIIB1NK69L0Tvl//pd/ZYyoQ0xOjdOmRRwXMKYQt+lMHP/6r/+CJ0/uMV2UKlHD/Pot55skgi58881DJBIhhjAIcuLFQL/vJ0VO3fiIt+ipoOYmoWtjY/4ACwtbDGy+xQmZm/+8pHUS767B/Sy3JZQZ8KoWiMCMM85UgGWZ+8xVyKYs53kBnPUCsTLRP4qAInDjEZAxROKG2Z9/XPSoG6Zn3BmqZ+cPUlTHPMTyu30cliQdPzT53UjfHcHj33L9jQepsRLcPrrdNajGbeUj6c4zfjDZlS3OWHTd5V5ZAzSjG4OAPEv9+hw5/eDGgKkVUQQ+GwJK7D4btIOesUjBnOXygyZD/yIUCuDxVw/4ymAAUHqjtG3lLNcFCPjpMIV2drNzjP0kKpssyn692DHvxseGMTKSZqBynuv50iGpa8ZRL4Ww8vYQ3/1tFT8/38H2vsjnApZNXYRkzs9fVbpRabYL2M6F8Mt2BEObQcxMeRGmBE8mZm2mkAlc7zg4H8Ogk9R2T/A+dq2Ds24VAUXg+hGQ/imjSwCNegTVsg/FMseLOscDM0dFbrq259hkMmB5q+lhbDsPGi0XxxKeaYv7S1nt2Je2xK5fJ8fXj/yXKrHzDp1vdL74FV+qbb3LlXdS5zuqdyr77Xvauas+3l0fqeP5ls67IVecvIfdZz+WZ2f6kzl97MqT58+69qrKOFmi/rqdCCixu533/RKt7hz4zz/Aniyo8zoZtO3BzCRZkvACMnkSAuUs9iSoaZE9g+clMpB9zEkhv6kpacqkS4imHTtIztpDqPxl8OBaDLndCH7+MYc//Ns63tA2Jk85nYf/UpxwzTFqXYqkLsejy5yE7RUD+MM7F0rfH+A/pxN4MuSj3Z2LedrdxSlLSrHLkRJ1UQQUgUFDQPq3NeqQpNUqfuzvefHiRRXf/2UdC/PzqNfyiMZTJHVh1Mt17G4U8OynAlJD/CAUof2vz8MQLT6qlwsylS54JHe7BGcs7EqgP68FAWdSbY/m9i/5e7xnn7mWynzBQjrf8VKN43fx9Veqm9RJDeTYx+vk3M3edT777Hny75Wv04t7nZNjt+P5Oa31evy6EVBid92I93V5Hx9Uz9885yVy/AI9ea193qZzziu2M4UzQIsk7cN62aqTLrQafmR33Hj9Sx0//lDCW8ai2ivKMOtBjHK6IRQxxeh1cwxLXjS98BkjeBaaxGqOqpvPVxGaKiAyFcAMg5yHIrbtn10Le6iWWlx80JYXVKfE085R/yoCisDNQ0B0CJoNA3u7TX4c2sef/n2PcTXnkWVczcxkHKOjo9QsSGFtpUIPmUXMv3kHX6gBP4OTmxxTZubcPC+S/l6T1ZvX3ttZo9PeQ7cNjQ/fpYOBQK839dW29eLzgMFAVltx8xBQYnfz7kmf1OgqhrFeA2vn5Mc+/2FJtr3byaHakdbJNfJYixTPj0Y1hDU6OPjub/t49pwTry0XFT5NRJgiQWldQrxg0rYu6apiai6O0Mg43N4RfHdYQKEyj439GLLZYVRrPgTaXkoPnVJlexlSZ132SVc6OehWEVAEPicCMhaR1FHFslBggPKFNfzlr3v44Ydt7OxmkYhH8OSrYXzz6xFEQ2G8/KWG77/P0X73NV6/2YI3GIQ3ME3b31l4XF7aDovETkYze+ywt87+VbZDyvhw1LzKEjSvbgQU725Ebt7vzr7Wa+5xWo2v495eRxmntU+PDxoCSuwG7Y72fXvOGnCPSZ8zRDt0zm62XCtp+Fi36CGz7UelHMb6qskv7Yd4967B0AYRKltWqIhZRJKkLkb1S7dZgG8GmH3KgOiPRhl0eBiB/TZ2K0F63PQgM+xiQHSx6ZP8xZnCpy5ntfFT89brFQFF4NMRkF5OiX/bRKnUwPr6Ll6+kHUVe/tNpOmo6etvRvEv/ynD+HY+OnIChtIGJXUefPddDZtbm3j3luEPEgbtgzPweX305mtyrLlIzaQO3aONjHzO6NeZV6+03dd2ptf90xAQ1DoR/vIo9npoBuEdcla7nHd55106X5tP3j95X3eX82E+cr+v9j53lynt+LDc49Y56c9Kc5xa9xSBsxBQYncWOnquTxDoHAxleGaIAjotKOd92Fhp4NXbEt4slLGTC3CqFkeUEroIiV2CfjEjBp0fxKuU1HHi9VUUyd9HER2jTV0xSmI3gslJHyYmAwxSLAHQRX1Syuos77wQXeaa8+at6RQBReBqERAXTlQEb7tRa7QYlLxGqV2ZKpk1xtFM8oPPXfzH/zCJX//GT8+9BY4NJkJhD0MbiGQuib/9GMfB/iHKBTevc6NadaPd5OSN8TmvZ7mucq6nNdddiqJ33Yj3Ku/y78yT9+/0fDoJvLN/8tpe9frYMYekfSydnO9OK79Pr+95ctQ0ioASO30GbjgC3QNfd3WdQdCxfxNPdEHUagmsbzTw739ex3d/LmNtuU35XJReMBlGgcQvTA+XMTpNCXgriKRd8JG84R4VNGfbCKdzuONqYqTpp+MDs4PUydDvlNddD/2tCCgCg4UAnSPRaZPfR1vcjA+PHjFAeXOEdC+Dx4+m8fCxSWk+x5DgIcccF1W4Q8B9hk3xjSDGMWV9vYzhkVl67R1FMFSivV2J8DgTN2caaSPm/Pr0SWWvO+Dk3uucHlMEbicC2itu532/Da1WYncb7vJAtrGTYMlkSb6wy+McQLWSoPe6OF49L+Avfyrhl1/yOKAErk4lTKF3HpKzENUxfUYZwWgD8fEoQnNDcE2GgRSnVkGGLKdqld+ghI8ET6LcqbOTgXyItFGKwKkIWB54qX7tp2fLDIkdnkQRT7ZoL5fC2FiM8TML9HopIVDKJIAmXJ4WkkkfpXYpxGJRbO/UEQ4nMT7m5gciSvxN23PvqQVe6Qmdtl4pnJqZIqAIKAJ9goASuz65UVpNBwHbm6QdNNg5Jt+5JVQCY0i1AsgxDt2rF158970Lz370YH3Ry6lXiIqUHqZp82/dilsXMEoIJbwMKpxB/KsJGKNBhpxi/mJPx55hh1aQCVInieRPXRQBRWDAEZBxRsYVulrixuc3KLWjNJ/qlgal/cHQPu3mCjBcRaYRz7yiuFmFm+QuwjSucYMk0A2Pu8a0PO5ikHKjbqU9acHFQ1ykpA8Xh5z1Pnsy/cfSynknzckr9ddNR0DePx/TXLnpbehVvy/bLulV3T3iPD2tV0tOHuvVrtPmEL3SnsxNfykCF0VAid1FEdP014yAMyDKi80mdc40yBmEJbQB5WuoN13IZ028m2/gz3/M4bs/VLD8U4gKl15L8dJFaZ4sPktiR0kdv6CnU35k7lFV6uEQvR/wqzyldXAf52yTO6cO1uX6RxFQBG4FAg0SLtEEaNEbbh3BoBv+IIldqwTDFCInRI3jBccl+0OT7Nco5Rd7OxPBsMS+LDMHOS6rQ+y4e+7lIoTsImnPXQFNeCMQGNR30Jdtl/Omv/pbfJF2XSTt1ddUcxw8BJTYDd49HdAWOYNf91AsYQ0ojWvFUcj5MP+uib/+mYHI/+chnv21xbDjUZI6qlhybfGfqFUanGQFOVFLZzwYmowxTl2K0roomA2Ffs7kyHKdMKBYarMUAUXgfAjIeGGPPULkTI4m/NOxOOOS87nJPiX6A8cJnTHFPqd/FQFFQBFQBBSBz4XAiVfU5ypE81UErgaBTlInX9JlpUvyVgiFwwQ2VtP4+199+OP/l8XrZ1nsVZu0qJNvF1SxtNQwpRZ1XkP7Os680lNhjNxNwjfO8yF60nzvi1wnYoKULoqAItCNgBC5zrX7fOdvJ52MJ7ooAoqAIqAIKAKfHwEldp8fYy3h0gicNiGSx1ZInmw9jFXnx/ZmkLHqTPzx35r4x/cl7Gx5SeoSPC+hyKliaRE8yY+qUuIQYRzIzMUQe5CGmWTMOzcnYVbw8dPK5KW6KAKKgCKgCCgCioAioAgoAjcUAVXFvKE3RqtlI2A7JeiU1InBs1i0eLn1oFb3Yn8/iJ/+UcP/+9+L+OEvZWytB2hXJ1K6OFfZymLHoRObOZ/LQGQkQE+YUbhmqYIZo/hOiN2RypWVXP8oAoqAIqAIKAKKgCKgCCgCfYSAErs+ulm3taofkjsGLGhHSeoYRHzXRw+Ybvzl33fw5z8dYHXRxdDjEdI3IXRUr7Qke7bjAh9leF6DoQwmQ0jMGfDdo0RvmIZ1dHQAw3HMcltR1nYrAoqAIqAIKAKKgCKgCPQzAkrs+vnu3YK6H8vqREXS+eVFvRFDIZ/G6xct/D//YwPf/WUPG2+bKFD9ktSNaale+d7LQZXKmDVr9ZDDpSczGH1KYneH+YlQz0tpnUtVMImELoqAIqAIKAKKgCKgCCgCfYqAErs+vXG3r9oOqaOPuraLzlKCePfWhb8yAPmf/z2Ld3+vkNTF6BpF7OpEWiePtvima/Bvk7K7Mo+UEaYr8qHJBDJfh+CbZmwpcZjJ2FPvOSN/6qIIKAKKgCKgCCgCioAioAj0GwJK7Prtjt26+jqEzmk4o0I1TGxslPGnfzvAH/+Uw/yLQxw2PaRt4ihFpHV2vDr7CronpxdMg2qYEuIgOupBciyO0FQEZqpGvyqMLSU+WHRRBBQBRUARUAQUAUVAEVAE+hgBJXZ9fPMGv+qdpM4Ob1CncO3goIo3r9fxt7+v4vXPFeQO/KRtKcIhDK37kZbgwRVK7YoIuBiQfDyC5HgMwRjT+Ty8RIIGy6KqmDYO+lcRUAQUAUVAEVAEFAFFoB8RUFlFP961W1lneVQ9qJYNbG/lsbqySe+X+8hnS5a/S1rM8Xyvx7nB8wUYBhU1Ux7M3M9gZCIOV4Ck0RRPmLooAoqAIqAIKAKKgCKgCCgC/Y9At3ij/1ukLRhABERaJ9I7FwmaCb/fj6F0AnfvDKG8b2LlmZcczUP6BlrTiQdMsa2TxfaG6aLEzjTyiE8kMPsgjeFpN1zekp3E+qvSug4wdFcRUAQUAUVAEVAEFAFFoA8RUGLXhzft9la5TVLnxkgmgd99m0HME0Aq0MAfmgeYf75HWIqoUmpnWmEOBCVRw9zj7314zUNK7FqYvudHZpQR8ETAp+qXAoIuioAioAgoAoqAIqAIKAIDgIASuwG4iYPfhBYJmoQWp4dL00A40oJnzAUvQ89ll4FX4UPsYIseMYXSCbWT+HVNqmCK/dw+110EzDJi8TpSw3SvQk+YphWQfPCR0xYqAoqAIqAIKAKKgCKgCNwOBJTY3Y77PACtFGXMBsmdbMvwGzWEvF46RCnCU1+gy5Q1+sIMk9SR9FnhDmpMWeMVWbSNIkldA+F4C346zHT7WjBdQvrUxm4AHgxtgiKgCCgCioAioAgoAooAEVBip49BnyAgJMwkqaOYrt1ArVFDMdtCducAhdwKj28gymjjEdrXhS0VzCb/llA1cmi5K4hN+JDJtODz12BYnjCZD6mfLoqAIqAIKAKKgCKgCCgCisAgIKDEbhDu4q1qA1UyWya9YRp49aqAV68LyO1KEPIaad0+xohFnFI6kdwZrhrMcX69GPch/DCCe/dcCEbpYsUkqTPEeYoSu1v16GhjFQFFQBFQBBQBRUARGGAElNgN8M0drKY5oQxI7GoebG/U8P1fs/jp5zxyh15K6wxMII9ZrjHSvJarguhsAFPfzCL+zTB8D2KIPvEhGsvBRcIHy/5OpHa6KAKKgCKgCCgCioAioAgoAv2PgBK7/r+Ht6QFDHfQ5soIBpV8C2srJTx/uYul10LSQlTB9JDYlTFHqV3EqFJs10BmOIUn344j9C8hgCQPaUroggcMmSBhEOQ6R2InoRR0UQQUAUVAEVAEFAFFQBFQBPoXASV2/XvvblHNRVrH2HQtP1p5A/urNay8q2B3I88AB7CkdVFuR+gRcxyH8DAYuSvpx9gkedyMCfckiVuiwh8VtOlVU/xritdMm9bJb10UAUVAEVAEFAFFQBFQBBSB/kZAiV1/379bUntSrxYlbvU4CgdNvP5pE29+2kN+I0dbuiC9YZZpV1dDksQuxDDlblcL4fEoEo9G4J6OU3pHUigRECwGJ341JXyCLErpLBj0jyKgCCgCioAioAgoAopA3yOgxK7vb+FtaAAJWNuHdjmG7HoZr/6+h1c/z5PkmSR1JiV2NSSooxknsYswDIIr5cHQbBqRJ5MwJiOAnxh5uBoio7PldBI0QWndbXh2tI2KgCKgCCgCioAioAjcDgSU2N2O+9zHrRQ1TK41P6r7Xmyt1LEwX8PeWo7HPSR1YQyT2KW5Rii5izBpIONDaCYN884QkKR9nZ8Uzn1M6voYDK26IqAIKAKKgCKgCCgCioAi0BMBJXY9YdGDNwMBIXVc2m7Uyi6sbbYY4qCOjVUT5UKb0roKRrHHtUmCl6dErglvyovwTAZeEjukaXkXphqmlY3I52xpnZWn/lEEFAFFQBFQBBQBRUARUAQGCAEldgN0MwezKULGXCjkTbx+nsVfvt/DyrJQNA9t6g4xSSndBKV1IcauQ4hqmLNJ+B5NUQWTxC5M/csjbkgjPQsewzpg7w8mXtoqRUARUAQUAUVAEVAEFIHbiMD7ae9tbLy2uT8QaJcbyDMI+YuXWTx7nsNuzktfKEGqYLYwgwMGJd9EyDiEi5qX5lwaxld0hzlMaZ312UKIYTeR08e+P+681lIRUAQUAUVAEVAEFAFF4LwIqMTuvEhpumtGQMgXXVnWDJT3TWwuF7G8tI+9xRIVMMUfCh2kUG43RhXMlJGFK9FGZCQC112yO6piWrZ1bsmjW/2ym+Rdc7O0OEVAEVAEFAFFQBFQBBQBReAzIKDE7jOAqlleBQIkdc0gmgUfthcP6QVzi9t9kroGBXFuukyR8AY1pHgkZFTgToURp7MU/71hYDRMtUza1qnDlKu4EZqHIqAIKAKKgCKgCCgCikAfIKDErg9u0uBW0VGJ7JaiyXHaxzUYyCAfwPLrPTz76zI2lvO0kItSCROIUb0yjjp/len0kh4xRwNIPZ6Ad47SuhhJocStI7fTRRFQBBQBRUARUAQUAUVAEbgNCCixuw13+Ua3sZvUHVW25Ua7GEBh24uVt3UsvjtAfqcIH/8lKLFLUnIXRYlOU2oIMwB5ZCSBwMMRGFMxSuskvAHzEUeYuigCioAioAgoAoqAIqAIKAK3AAEldrfgJt/cJp5C6oSR1V0oHrixstjC0jywt16ltVyZZK5ApykNEjsheTV4XQZiDEIeoDdMjKeARIDSOkr8XN22dTcXBa2ZIqAIKAKKgCKgCCgCioAi8KkIKLH7VAT1+gsh0ItuHQvWHNVME40Gg5GTzP3wQwkvX9ZQpidMWtwhw7AGYyR+SW5No4zmZAC++2Pw3psAUlTS9Ampc6p0GnF0zutWEVAEFAFFQBFQBBQBRUARGAwElNgNxn3s61YI2Tsmd/zRaKNRbGF1pYIf/7GNpYU6ZXNBOkoxMWLFrqtSHfMQZqIGg7Z17ifTwB06TQnRsM6S1EmOvShkX8OklVcEFAFFQBFQBBQBRUARUARORUCJ3anQ6InrRUCkdVzbLrRLoD1dnc5SylhayWP/0KDapZfOUlwMRl4muTtA0KRtXdIN33QS5l06TBlPAAFeb7RJ6donieL1NkRLUwQUAUVAEVAEFAFFQBFQBK4dASV21w75bSiwU1p2QhZ3SuOPSF2L9nE1LyoMRr7yqoSFVwVktw4Z0MBNJyniCZNxx/krRfs6d6yNxHgMkTsZOkwR2zrxhMmyTi3OtGR49mlV0TzlRuhhRUARUAQUAUVAEVAEFIE+RUBm1LooAp8RgU6S14t3mUdcjI9i04d2OYa9VReef7+Bl8+WkKMnzBYpmZ81jNPGLkWlzJhRQiLSQmY2jfDjURjDPOvn9R6hbQb/dT/Wx7/t2hz//owN16wVAUVAEVAEFAFFQBFQBBSBa0NAZ7jXBrUW5CBg0y+b5B0L2OjxpBZEKx/C7grw6tk+Vhd3SeMqVkg6hhynR8wWbevKSDIgeTxmIjaThvdOGkhT0udjgvdOU5ySjred9FL22x+Qv+O0uqcIKAKKgCKgCCgCioAioAj0GwKqitlvd2xQ69t0o1X1IrvpwdqCifWlOoo7JZI6L8JUvRwioYsxbp2PQck9LhdCmRA8UwxxMErbuhAfY3mSLZZo07ZBhUnbpQgoAoqAIqAIKAKKgCKgCPRCQIldL1T02PUj0HYjv2/g5fM8fvylhJ11g1I1kdBlaVfXxDjyJHh5NF1NxqwLIzA3AtdInIZ3VMP0UPD8XvTXKZs7boac7n3mOI3uKQKKgCKgCCgCioAioAgoAv2KgBK7fr1zA1bvdhM42K/jHz/u44efDrG746FdncuS1M1SYjdOaV3IYIgDal56744g8IBx6zIRql+SstET5jGzEycprWOeZ+EkzlJOah0bTKOLIqAIKAKKgCKgCCgCioAiMCgIKLEblDvZl+0QskVi1gBt69rY26jj7btDrLyooEpaF6bi5RgldtPIUWqXh9tXhmfYB+M+wxs8HGdAclre0RmmLYsTcneSvMmZ46Wb7B2f0T1FQBFQBBQBRUARUAQUAUWg3xFQYtfvd/BG1v+9XuT72nWqQb4/S/VLtOgJMw9kV1tYeZ3D1lqOoceblNWZoDyOErsGRnkkbBTgShkIjIfhusdg5NNDdJNJVmdKbk7uthTuff7vS9cdRUARUAQUAUVAEVAEFAFFYLARUGI32Pf3RrTOoV1OZeS3FZKgTWJWi6C638D8j5t49vd9bK8X6AkzYHnADFBdMk1nKUmqYfrNKnwjCSQfjsA7w7h1ySPbOpfkJpI6Va108NWtIqAIKAKKgCKgCCgCisDtQ0CJ3e275zenxU0PUA6guFvFwrMDvPxlFQebEocuRCVMk+SO/I3eMBO0sfOaDUQnI0g+noR7mk5TJP6Bl6TuvXhOyd3NubFaE0VAEVAEFAFFQBFQBBSB60ZAid11I67lHXExEjESu+ah31LDXF5oYWdVlDADCFJmF2WqGKV1fpHfGQ2Exj0IT6fgeUD7ujEqaQbI6NyOLNDZOuAqyXOQ0K0ioAgoAoqAIqAIKAKKwO1AQInd7bjP19zKbqL1Xqx2TOookWuWPbSpa+H58xoWFtooZpvwUO0yin16wTQsSZ3BAOVm0MsQB0n4p+kSc5Sx6/jbjlvXXc5ZzRSy17mo6mYnGrqvCCgCioAioAgoAoqAItDfCCix6+/71xe1F1onFMymd0cEq22iWnbhzdsCvvt+G0uLNLejAmaEapcj2KM3zBYldjkYrgZccxFEHkzCnKG0LkT1Tf63Qxxw23PpJm3dpE4uUqleT+j0oCKgCCgCioAioAgoAopAXyKgxK4vb1s/Vdqmc8cyO9adLK9dBor7LSy9y+Pl2zK29tz0hBlAHAWSugN6wqwjauQZ3qAFk5I646spYIqeMIN8ZD/gaSdytwvoJ4i0roqAIqAIKAKKgCKgCCgCisAnIqDE7hMB1Mt7IdBNtJw0ZGRtH0VzLrQO2thdKWJlMY/NtQLldCZSDEpHRUsrGPkQQxwEQhUEM154Z6mCeW+UAcljdJgieYv87zQ1zNPKduqgW0VAEVAEFAFFQBFQBBQBRWDwEFBiN3j39DO1qJtInYdAdas78nFrMm5d0Yvsch6v/r6JBUrsDnNNBiT3WLHGk3SfMkJPmCnjEL64B+kZ2tY9GIIxSjeYUeZnPbG9iJ1Tn+56fgyO7vROPh+7Ts8rAoqAIqAIKAKKgCKgCCgCNwcBJXY3514MUE06dSU79tsuoOpHO+vFzptNvPh+FWuLVbpLETmd1wpxkLACkueRMIrwp9IYfjCMsAQkT1PSR58p1Nfk0k3G5NhZS7fN3Vlp9ZwioAgoAoqAIqAIKAKKgCLQfwgoseu/e9a/NW6RlZV8qO6YWH/TxPLbA+TWG3SqErXC0kXpMCVqhTqoIuZqIpShM5X7IzDnSPwiR05TzIuSuv6FS2uuCCgCioAioAgoAoqAIqAInBcBJXbnRerWp7sCFUXGratkTay8a+DtO2B7o075XJVkLkunKU1k6DjFz9UwWwhMBxGcSVuOUzBE2zo/y7ekdc6NuIL6WFldVT5OvXSrCCgCioAioAgoAoqAIqAIXD8CSuyuH/NbUKKoPnaoYFqqkwbaVQMHOy389CyPX15XcbBHxyjIU1q3ZzlMGaY3TK9RhmvIjdCdNPx36TBliLZ1XubloqTOEGmdSuxuwQOkTVQEFAFFQBFQBBQBRUARuCACSuwuCJgmPy8CnXZtlIrV6Tel3MLGWhW/PM9i/l2dsjo/Axy4Gd6ggGl6wRzhGqInTGPMD8+jUZgPxoF44Chu3XnL1XSKgCKgCCgCioAioAgoAorA7UNAid3tu+fX2GKR2pHUNfmYFVs43GhY4Q3ml7LYzLYp0wtgmOdHSPEmGIw8bpQQTFFANxGFIaRulgHJo7Sts4R/Kqm7xhunRSkCioAioAgoAoqAIqAI9BkCSuz67Ib1XXWbdGVZ86G518Tm60O8e17E5iZDHCBI2zpYTlNG6TAlTWIXCjYRGQkhej8N10wcSIm0jqzOInZ913KtsCKgCCgCioAioAgoAgOBQPfndfVQcDNvqxK7m3lfBqRWIq1jmIJyCKWtQyz8uIt3L7PY3/DQaYqbsjofiZ1BpykljDBunT/qRnJ2DMlH4zAptUOY11tPaPdwMiDwaDMUAUVAEVAEFAFFQBG44Qj0moXJMSV3N+/GqSzk5t2TAaoRH6+ai3HrPMittrH0KovVxX0qXtbYRjdldm4SuyYldxUGJK8gnjCQnBuCl7HrMBwCeZ8du26AENGmKAKKgCKgCCgCioAioAgoAp8DAZXYfQ5UNU8bAQlIXqPfS8atW5oHFudryG4WSed8SNBhSpqrkDo3V4/Ljdh4BN7ZNDBJQzuJW+fltyDLE6YCqggoAoqAIqAIKAKKgCLwZRHolAd1Osm7zlp1yg9VZtiNvBK7bkT09yUQkI7eq4ObqBZcFqH76ecyVtfclM+BkrpDEjqX5TQljKIVn877KIHQvSm4RyUYOUV1EuLgfTDyzk58ierpJYqAIqAIKAKKgCKgCCgCl0JA6JO4vOtcDOt3r7lfZyrdv24ElNhdN+K3ojx7CGg3gEIeeP0mj2evStjZohSO8rkoLezGsUtiV6MZXQHuYRcldUm4n0wB4wxGTn8rSupuxYOijVQEFAFFQBFQBBSBG4+AqfZ0N/4e2RVUYtcnN+omVfNDg9nOLzbyRYcr49Yhb2J/s4GFhRzeLZaQJWMLM3ZdggHJx6h+meEaidXgGXbDvEe7uvsMSJ6UgOSOaF0ldTfpvmtdFAFFQBFQBBQBRUAR+LII2MKDL1uHm1u6Erube29udM0+JHdOdUnqGn6K6gyUVmtYe32AZRK7zb0quZ6JGFUwh6iQOcbwBkOMWxdKGojPxOC5O0TbOoY4iFEN0xSi2EkWnbx1qwgoAoqAIqAIKAKKgCJwvQjInOykKuZVlX/yE/5ZksEW1UGdxRYAOGIA56huj5zJKxCKwEUQ+LAjSWc/ImISjLziQfsQ2CGpe/03ErvVEvKIWGJ8P/8OkeKN80jMLCKeSWP0wSh8c7Sti4ttHbut67jrXqRemlYRUAQUAUVAEVAEFAFF4HMg0E3uPv0DIEsN2gAAQABJREFU/MnZ3tnE0bbx+/QyPwcyNylPldjdpLvR93Uh5WtxrftQ22FA8lc5vH6+hr0NL2V0cfrC9NNxioeqmE3a1xURcdcQH/ch9mQYbglIzggH8LCbf8gc+x4ZbYAioAgoAoqAIqAIKAL9jcB1EavuieBJCtjfGH7e2iux+7z43pLcpaNLJ+TKgOTtnA+5jToWXjexunSIcslLUpcitWtRFbNG5yll+I0Gwxu4EJxIwD1L+7oMA5L7eT0jJOiiCCgCioAioAgoAoqAInBbERAi103ubisWF2u3EruL4aWpeyLgdD5uax4cbAOvnlXx/K2BvfUWu2aVUrpd2tX5qYZ5SL+YVbgTDFA+G0dginHr0nSY4iejExVMjVvXE2E9qAgoAoqAIqAIKAKKwPUi0K0e+TkldpJ3Z3kqpbvMvVZidxnUbuk1ThdzaNwHMLBP1moG1pbr+OuPObydb9PvZZD/Ckhin3Z1bsrtsgxGXoZnNMi4dWNwTWcY2I5hECQSgpWxXcpHy/qgcD2gCCgCioAioAgoAoqAInA1CHSSrKvJsTuXD+eTpxPHD9N256a/BQEldvocnBsB6VRCuGQ92cHY+eVgxUAl28LKchkv3hxifdOkNV2AKphFDJPcjVJSlzSy8KWbcI9H4Ho0AWMyRds6PobW+OHQue78mbcuioAioAgoAoqAIqAIKAKKACeNtjMVh3x2EsI256jH80mZUbYtOx+Zucra5CppOq/p3O9veJXY9ff9+2K1PyZ3Qur4GFU9aO03sbdQxcLbPJbXC5TRmYxb5yaxa1NaV6Qq5iEioTKiI2545qiCeYchDkYYkNzndEzZDk7n+mI3RwtWBBQBRUARUAQUAUXgiyLQSa6kIidFApevmpA6UfOiY76WB816G22jBZe7DbcVLqvB82IGJAROKBw9tdMUqEkfEK1Gk/sNeL08b9R4tmGlsKULl5l/OvNXKeky18t1V7sosbtaPAc+tw+7JY80GbeODlKKG3m8+8cm3r0qYWejSSrnJ7Hz0llKG5MMbzBs7COY8GDk7jBiX41SWkeHKTF2CreTqwwCSu4G/iHSBioCioAioAgoAorADUdAiEoncfkS1XXKPyZNNl0kWWsFUKsGcHhYQ6tVRijkQihCdw2GUJsqVxI+668PjWYUlaIfhVIZZruIKGUKgYCH5E7aJATwOH85cnI5bV7q1M1JfVo65/z1bJXYXQ/OA1wKH+Qqv54U/Mgv7uEtid3iuwpJXYpdJczvJHmL2A2jhFHjEMFkCsMPRxB6MgIMByitIzT6FA7w86FNUwQUAUVAEVAEFIH+ROAswvNlWmSQbDZaJkmdFwcHBjY2KtzPIZmig76GF6GoCz63n6ROyB1lcjUv8kUT+wzDtbVTop+HAsbGPUilDATojd0wxR17t3TRupR/HPJ2XtJ23nRO/le/1Sn11WN6u3JssUPU/KjvurC52MTi6xz2lsrEIEzrOqF2TRK7KkPUVRHj0xYZCSB4Nw1jlqqYUa9I0o/7jSWmP61z3S5YtbWKgCKgCCgCioAioAjcPAQcsmOTPpm1OXpXp9f1Y7GsTiOQvY+3W3TOV67gYL+BpaU15PM5JHZDDK81jMlJmvlEXHB76mi3myiVPFhbrWCFc9OdnW34/EW43VEEgl6mccNrSu1lPdkuuy29yz+9nV/+jBK7L38P+rQGR92Y9nXNvBs7JHVvGLdunfHrKoxTF6Q9XYCqmCnk+LcCg306cC+C4ByDkU8kgTijkYu0zulHFgpK6vr0YdBqKwKKgCKgCCgCioAi0IFAJ90TgnRiwsffct6Z93Wek7TOce5+sMj5Fkx3ndK2KnOpolSskui5KJ1roNlwY2wsjkiYDv1qZWxtFbC0mMX6Wh6VagVD1tyTkjra5cl6sh4fFHbBA5Lfl12U2H1Z/Pu/9KaB3H4bL1/l8exFGbk1D7uuOE05RIbdLcOt3yjCHGEwcjpLCTyctOPWnZDUdXbgL98p+v+maAsUAUVAEVAEFAFFQBH4HAicnKd10rezS5PrOgmcpBaPlfYc8GQ+J385s0SHCrrcLQR8BoaG/DjMJVCpuLC7Y2B1lWqaVSF4HgxlApTkNbGyUsLKaolpmognohge9iOT8dMmjzGV3eI8ReolJZxsFw98ZOluz0Wv/0j2lzytxO6SwN3uy6RrcW2yO+aB/a0aXrzM4t1SjfI5H7UrTXrCrDLEwQ7StK0LRetwj3jhekC7unujQDJ45DDF6Uy3G01tvSKgCCgCioAioAgoAv2FgJC0TgLm7HdvnVZJ+k5i5+w7tE3olXOM+8eH35cjQQosMtj2UY3Si2DQxOh4FHVK6qrlJg52fZTMeUjiGtjeqlANs4i9gxrqdQ/CkTBt65JU1XQhFqvTM2aDudlOVpwaXnx7M8hcZ72V2HWioftnImD3MZMdgR2rSd3KAnWct+uWbd0birlXVikOpwJmgvFC0nSaMooa0kYFsVQLoQnGrbs3DMzQti5GN7Un1K2PO/LFv5icWWU9qQgoAoqAIqAIKAKKgCJwKQRkftZNXlwkYEKwZCtzQvcRIZO0XNsywZOZooQZsIkY4xGI8qR1HOKbgfs2ieNxan61WpTccW2xKMoMrG2b+40Gj5PhNdtMT+eVQvbaTN9k2c26m94uDdrVuVEnP2s3qyhXaijmyjjIZkn6JL8c1TUblN5FMTEdx9xsFEPDLfgDBzANmdXaM1vuDMyixG5gbuXnb4h0T2sRUkeHKe1sDQev83j7cxnLa0Vs05pOIovwOwqldXVMM5Jd3FVDYiiE+L00XJNxgOEOGGiEfd4ZKKSjdy7y2znXeVz3FQFFQBFQBBQBRUARUASuD4EP52PHpM52a95o2jO/tsQ0bpPMkYShLfY2nCvymEWdmibJmJA0mePJyn2SsgZP1kjKhJjVSNzqFdBWjitDzMm2yuMVHqtV25TKNUnkTKZt8DzXco3naihXGV6rUEPpkD4eqqSPLsOS5JVLBrx+H5JxE8MjEUxPhZBOG1TBrMDNuakd5oCbUxap9/t57ylpbuJhJXY38a7c9DrJ1xbqM7epz7z2cgevn+Wxu+0XpUs6TfFa9G6ExG7cyCESbyEzMYT0A3GawgAj1MKEl92lH3vLTb8vWj9FQBFQBBQBRUARUAQ+MwJNSuWaNXFOwqACXBv1BomXSMgoPauTz1HsVq+3KIVrWRK5Jn83hbhJWoreWkxT528hdeWqAfo4sUic5FUumVwpiaNqZbnM/EttlKhaWa+1aDsnechxaoiR+dUqVZJFBid3NeBh6IIQY9OFIhQvmH64vR64W1S39FToCZPHg014fUVK8OjQzwpO/iFp/cywXUv2SuyuBeZBKoSMrMGvM3kf8utlLL0oYmV+lwaq9HTJrzC0pCO9a1Mds2KpYcYTfsRnEwiIfd1IGPSkonHrBulx0LYoAoqAIqAIKAKKwC1CwEWpmRtZxpDb3WthbzfPIOFCxDwWKatURD2yZZG2Vl2In4trCyUStUqpSQLHY+UWpWuy30Kd6pYNerJsURusQfXKFn/X61S3bIgTFHpeJwlsivolmWC7KUSRxLDAtV2Hy2ciOhxDeowxkkeCiIapGkpPmf4AY9RRFdNlllkGw3DtZrFJjTG/3w2Pl/NQhjhw1ERlr9fSr/IHJXa97qYeOwUBecy5Vtyo7Lix8hZ4966B/eUSj3oRwwGGqEYZp32d22jAl/AhRlIXmskAYyR+YYrmPbze0muWLyWSX78Ku0+BSA8rAoqAIqAIKAKKgCIwkAiIbZw4J/EzjAA9oj8v4BWd523vtlAu+EnugjwnMeaqqFH6JqSswbVWo9pkmeqT1Rqlc23USnXUSe4a7QZnjY7NnahvCs3yWmW0j2z3pDzmwjMS2qDMo5TOGQaisRBSnFtm6JxveDRgecEMUCpnmjWEKUcIRUkg6yR2ZRI7xrvzLPnJ55KYoJpoLNYk+aO40DL9cSR3zvYiN07USp3lMtc7117dVond1WE54DkJCeNCA1j5grK6UME/fi5icdkAQz3SZUqJKpj7dJjSorSuBI+7huBUBOEHY3BPJUjqqIstX0msTmR/HXH+2l9LnM5xMzqG1Vb9owgoAoqAIqAIKAKKgCLwHoFWS1QlA9jaBH76KYs//s9tbGw2SNgyaJZ9aFKa16rSDwMneYwUZ32+b3KWKGENmtY/eyYogQaojcmjts2d7VVPaIn8FrInc0ZnW+FelkpfJfjEGcpYGPefTOL+wwkSPNr1GVVK9dbh81K4kPJhciqMVIo+/goubG6YlCzWGaTcRWlgg+qhbrhmPFTLpI6ZKXNOqcVl5p7OvJWXW4vz+zJ5OXl8+laJ3adjeLty4AeO0kEL8/Nl/PyqgLVlL7uDh122Tk+YBxhhB4lLxxtqWoTO/WgcEKcpAcLkPPNWZ7VhO6KL/PFlO8LtuonaWkVAEVAEFAFFQBFQBM6LgDOBE0+YfnKuOKVfPpQZJ25reQdrG1SzbKU5A6SGFiVuxxM+Z5bXvZX85FjncWefh98vQv9EWudGmE730gyXNT7rxt37MTz+OoOJCT+lcvvIHu7R9q6ISDSIqWk/ZmdNJJN1hjtgbf1hqm+6GefORwIq9nh5hENu+IP02B4SrUwhj4MzB1Vi9/7h0Z3TEWAHpKSO3A3twxYKa1UsLhzi1XIFW2RrXrK2GEXk4/yaMs4QB8loEf4hF1x0LYv7tK1LR6mC6QwKx6X06sLHZ3VPEVAEFAFFQBFQBBQBReA6ELC1qOyS7PmZPW+zJWpCF3wkdfRy2UjC54kgkXAhHBvmLLBAlcryEanjnE+I36UWW35nkyxOOKkPRtcq8DFsVsAsYWzMwOOno/jVbxMkdQGkh6hBVj/Eytoi7eoYNzkTxAQledOUxqUydQT8eYTCbRI5Ou5rBamiyTh3+1kcFg6RL3ipNuqGj0HOvR5HKnipSt+4i5TY3bhbcvEKdXZGufr8hOm8VzJHcZhSpF70WgWrLw+wQGK3sdZkQPKwFbMuzi49jkOMGEWE422kJ6Lwz1EOPkxF5wgfM/fgfA25+B3SKxQBRUARUAQUAUXgahDo/lCs84vL4to9C3TysePTiRqlYC1SuiBVGCn5aseo8hhFk97RZa7pcflJjtK0ecuhxqDhpFFOFpfYSm2E0EkoggJz2qeULocEvatP34/g0ZMovvk2iidPA5TKUS7oIVHLVlChq8xIpI1U2ovRUYPbKiVxtLVzlVj7BgmoH81pD1ych25t1ek8pUH7OzpR4fWGS+rrEEpp66c+S596PavwiYsSu08E8CZeLl3jbHLnDIryMJ9jkQyrfPjzbRTmc1j45QAry6B8Tnxf8ksI6V2C3XmcTlMyRhaRWAwjd1MICrGLCaljBi7JRFZdFAFFQBFQBBQBRUARuAwCzvyl89qrmJB35neT9532fwqBsPNonyAxEmhcZmliFSfLMalrMjZdjXZz1bIt5SoWTEq+2lh4B+xsM+xBJUw5nswnxcnJpyySh5C6CjXBGoi6Khgar+LeV2788z9H8e2vMpi9Y1JSl6N6ZYMqlFSzDBUZq85DD5phhteiw76IELcs3O46WyBqnJQzBiRAuY8SPCCZpgMVVwuppAdhOlfxWDZ2kkrmpxfF9KLppZzPvyix+/wY38ASLvIwsotTNxl0Qdum16MsbeuWnm1hez1I5cs0u4KP/1xUxaTuM7+wpCgujw4lkGJ4A88siR2/isDHDuOMRTcQDa2SIqAIKAKKgCKgCCgCNx+B0+ZvziTrtPNOy5x08lv2RRonVM7ZP/otgcVJ6CQMgdip7e2YWN+oYpVe0DfWd7GxamJtxYvFtybP1cCoBVZeHxMrSKqTi0jo5GIhYeJhvYggvaqnXB7MPs3gyW/S+PY3Bp5+7cP0XBmxRBl+X85KL/V2My6ySOLaNBfyB2rwWoTOIWnirkVCHrh4jn4f6JXdT0keg9ghEBBS56RjdgO0KLEboJvZuyny4DqL/R3G+XXubZsd/pBfatYrWHzXxMpSGaVcg19URFTupsyONnXskF52kvCwG9HxBDzTJHUjMTpN4bWWtO7cpWlCRUARUAQUAUVAEVAEbjgCVzC/utYWCnkT2ZTMBWWlN0l+mm9xRTtAByM+EjkfJXMGvUlKXDo3CjkDe3tVrKyWsSgaW1zXlsvYpBOS7DLj1jXDnP0FKWejFxKLHNpl8MdHFsHOVrkUtUvSRwQZfy7IUAVD417ceZDCt7+N4ff/MYSHjxqIJ3g+lLekcQbTin9NUjaSOoPHpS0uSvBE4idkrpPc2vWRUAlut/k+rcsKu9V5/z5S3T46rcSuj27Weat6On2Th/j0sx/mf5SW9nXlXWD+ZRVvXtextyYp6+zGVLvkV5YkO6UYt3poSJt8OIrQg1EYo3SYwkCQ7K1Hy2B2IKd1ulUEFAFFQBFQBBSBz42ATNq7yUPnRP5zl39T87cx+Ngs75jUiWSORI72cq1GlIQuhFrdhwIDjUsYA+sj/nIR66sioStie7uI/f0qDhmQvMA4xqUW54UkhnRRQkDoS4HkzvaGeR58pJZCwiSOHNUmsYuYq4yRCRfuPo7hq6/TePAoiLm7XsxM0yFfmvNL3yGJm0j0RLJnq4va5I70zpDnQearp80z5bh9jcua1hpMfVpaJu3z5f20u8/bcaurfxGqZj/4p10hD/qH59ol6lFv1vDsZQ6v52lnR9VMN7+0JGlTl2S3TpHYeRno0T/uQ+jxKLyMK4IkOzs/An0w/t7qO6WNVwQUAUVAEVAEFIFPQ0CJ3Pnx63RmIoSGKpaUbjWoiVUteegdkl4SDmo4PHThgKRte8vE8pKBhbdVLC0UsL1ax/5qE0XO+yq8tsGJXZ1b255OthLaQGzrpBxZP5xD8uDRInNMW6pmq1/WETXqiJMXjt/x4+FXYfz2n5L43e8CDGNQZ+iCAgmd2MwVmauobMrqXG9T1JMSOpvAHRV2tHE+BMh1jv2gQ+oG8zlSYnfyCRjAX6d1MjnuPNy9ms0vIBLioNhCda+BzZUmfn6Tx/xSi3QuaHXvBPfGqYaZMQ4RTTbgngjBFFJ3h3FMIuzs1tN1Vhm9ytVjioAioAgoAoqAIqAIKAKCgDOLOm02Z6PkSDFFFiWTL5HIHREu2so1GVS8Re2rJm3n6nSGV60A29TEWlmpY/7tLpYXqwzg3cLmehv72wayjPlWzvoZmy5Excc0P+VL/kLcJE/ZF1Ik0jMhTLIV0iWLlC3nJZ2sUntJ66RjwcxRnK2E6RxlNNPCo1+P0o4uiqff+HH3QYOeLQ8Qi2UZpqB8dL3kLfl0zls793nKOmcylYODHHPIn+xL+bdjUWI3kPe588Hu9UXC6RDOMOEMGw4YPC52dRUODNka8osFLLxh7Dra2K3z64xBJcwMQxsMU1I3ye4+FC4jPuxFeDoJc4ax69IUyTM2iNXPrM7o5KtbRUARUAQUAUVAEVAEBgEBZw51nW3pnK855cucT/Zl9XLWRfeP7SDDEgQZnsDPWG9+iCfL/X2TQbpbODhoYJdu/ze3inSGUiG5K2Nro0jNrApyO006QhGpXJir2ODJIvk7KlhCG2ReKfZxea5C1CSAOG3cuIrlm51WYtmJeqZcK2mEnIlfhixCVKlM0FpnYi6AB1/FKKFL46tfBTB3p414vEYpHT1ems41zhxWtpKXTfFkK/JH+69sSVyZu5OGO1xEQictsJ2o2PV28rMSDOQfJXYDeVs7G2V3hOMj8lB3DgxyRjpF17E6r6PhbGurhPWfdjD/gqRuR6KKxBHlt5YAdjBB/ehJYwexoImRySHa16VgTFCmHmZ+Ip3XRRFQBBQBRUARUAQUAUXg0gjIDO14Ofnr5HGRWIlEjl7LqxHU6xFUyrSboyOUzQ3g3Zs23r4pY3khj7W1Eva2Syjw4305a1Iyx/T0by6SuboVYFyImZA5saGTfZlLyipzRSFpZU7zKHkjSZOQAR4jQFrFkAjNEnLtClPJXPNIYsj0dMfC9AwY7qJQYLKG+48CVLuM4VcSwuCuG5nhAkJB5uVj7Dkzz/SOlI7ZWHk5W2dOa5O1Fs/V6JKzWm3SRpDeMR3BHGEyaXvnpnMVLwUNPh9rZ56GneQ9OIsSu8G5lz1a0vkQO8TN6RTdXy0krZOGu01++Si4UFupYe3FFr0hNbGfS/O7S5j/mnSa4sYo1TBHGDwyEg1hfCaG0P0xGEkOABLegJ3pRH49aqeHFAFFQBFQBBQBRUARUAQ+hoAzd5O5lay22qFIytptkVRRWtY06cnSwxhzLmxtixSuSps5F7Y3TWysgdK5NsMU1LG91kb2wIdSm97OrWKFgAkdkK2Tv5yQfGURtiRESyRg9n6UHiwTph/xMR9DXPkQT9IUx3BTu2sbS8u7yDWFeMn1HuZcRNikP4ZwEBMPfZTStfD1NwZ+/Vs3pXQMYRA9co5ilo8InZThMLSTc1WbMIocjq5TaC5UyJWwuLSGxYV1bGzu0vlLGbUmQxswxEEoFEA6HcPU5AjJ4ziGGYrLZQqOJ/PkgYFalNgN1O3sbkwHUes+1fO3dGgulhomxfnUv95neIPF10VsrlXYFUL84iI+kJqWc1vZRhnoMZ52IzSTgns2yYDk/Loj0jrLlayV2wX+dNf3qD4XyEGTKgKKgCKgCCgCisBtRsAhQYLBTZjEX7Q+9lzopAdLN0mPqFlSk4qhCZq0l2u1vLSV4wf4GgOIl11WvLldOkBZZTiC+flDLCzksLLA+dtGDQc7lLHtU5JHyVyVmlcV6l6JV0ybvAkBkzqKrZyoWMpWVCHFa2WdqYQoNeFlOAEvkwXIHFKTPkzdSWJmLobJaR9Gx3glk//f/8Ok18wDtAo7zOEQPpPEj9dkZj10jjKEX/0mga+/NXHnfhWpFKV0EsKAHi8lhIGEJPjYIrNCQafJ21o4LGBxcQM//PAcP/38kk5fNqhmekhJJetL4UIsGqEkMIUH92fo/bNmxbOL01OLzyME1srlY8X15Xkldn152y5eaXmEj2nSxwY6PhYlekhabOD1mxr1r9soF9gp2PFiyCHBzhrkvsfVQGwmgsT9UfimGLcuEWGPZynvxzB7cLp4bfUKRUARUAQUAUVAEVAELorA+wnI0YXy+2NznouWcZH0F63P8bzJnrOJdEqIF+PMkZQ1uTYaJGg0lcnmGChgm4HDKYHb2ixjY4Px5RiaYGujgN3dCvZ3GsjRy2WxJFHixJe5EEP58i5Tf6mXQ+ikJJGQifxO1CBFcpajeqUEC68izOTxMT/S41GMjFAKRgndyGgQ4+MhjIx7MMTpXyzBwAVZYJkSwYWFQ1R+3kawEkV6cgp3HyXw+KskiV0EDx8YGJtgmKwEfWsGyta80glhcDx5PPt+iW1duVTGy5fz+OXnN4ypt49wKMwwCXfRblGm16K1ndvFVAYqtRqx2MePP76kNLOKr57cJwkdJsmTNgvWZ5fFBH23KLHru1t2ngofP6jHQ4T9CMvV9mDRK5+jM3V2moM2A1Hm8eJFGdsrLj76FGvza4qPnT0lYnWDEUyG2gjdSSD2ZJy+aiVuHfN8/0R1ltyrLD2mCCgCioAioAgoAorAl0CgcyZ0k+YrUq/juonUTjw9lhmaoFiiXItOUA4Za+5gz01CRyJFT+UrizV6tSwz5lwRuyt5FIp1ytwoxeMn+CbnbrX3RE4kdELshNDJfifplFkereuobeU1G9Y3+mCCUq8hA8MjbkzO+HD3foArTW8mA0glPQz2XaPtWpU2cSbVMMOUkrUwPV3Gw8eU+DHQuEGVyLtUvfz971P4ze+ivK6OYDALv79K4kVSR9JoSwfF5cpF7gFxKNfwy7O3+NvfnmNoaBjffPME9x5Ms15Rqz6CYYGxHJ69eI1nv7zG29cLVFGlB/dInOkzcPlksuqoe3J3gJb30/ABapM25SMISPc5HjacxEeDSZ2ay/kGDrcbeDdfwIslfu2gh6QmhepBrnEc0CNmGZFgFd40FQPmqH7JoOQYptMUr5PrRTqoU75uFQFFQBFQBBQBRUARGHQEbEJlq1rKvqwyHbf3WwxJAIYnaNIspsX4cULqdncNrCyTwC1vY5VhCZYWGthYaWFv14vcLh2kbHgZY1jckwyR1MlcTNQNLbsYbmVOJh/8ZZV9ITQimZPfTG20SOha/GDfZJgBF4an0gwWPoLJCX6zn2gjM9KkSmMLmVF6QR+hEmcsj0CoRVcKts1diySx1Ywh0nDhzt0GKpTUTU4H4HEP4/6dKdwnuZuYzvG6XRLAMmtwVK61Pd+80ZlV2qnpWqUq4RmIxco26zmLu3fu487sKCV3PrbHTlVOxkkgGa+vKsR3DfPvlrH/a6qJSvHW4pTt/B6MrRK7gbiPziMvjfn4g9o7BY+KJ8xiA83NKnbeVfFuiUapG8AeKZ2PUroI1zGSujF+ZUml6EBljMayd9PADNdzx63rrGt3fXvXbCBukTZCEVAEFAFFQBFQBG4YAt1zkuupnk3qjlQjGZKgTVXLRl1WD8oVE/lDN1cqRObqyO4x3hy9WC4sMjwBNak2JPTUWhH7G3U6CuE1/ORe40oLOFZeVKeE1DlE0bGXE5s5UbWk10lu/QalcpzyBUmC/Ak3oikXUsMBEjk/nY2EaTsXxPSsgakpUMrFHANVErUcXF6GKfdSSmc5UxGCKOSuTikZLfb8Xkrl+MHfP0R7uwAlc2lkhmKIxSvwB4sWqZPyDYvAOuxKyOzFlwads5RL9OpZLKFaqxM/OpMhIbbVVm10PT4fxsZH8ahYpkfQJUo5D+AXA0ESWFtq+WXu/cVbe7ErlNhdDK++Sy1UyXl0j2mT05GcjsVETZ6t8HE4bCL3Jov5n0uYX25ioyYKmCEOOUWqYOYwJRI7ejcayfgx+iAJ/x2xreNgInHr2LF1UQQUAUVAEVAEFAFF4MsgIPMaZ44jNeiY53xQIWfO4qQ/K+0HFx8dkGvPuq67Pk4+lJe1JHB4mIHDw3SAEiGh8yOfdWFjC5TIiZolidySkLgcdhia4OCghtIB6VnOj3KbXi1JkZqWSiWZF2dptoROyJ3UyamXqDuSVDHcgMegoxIjS+WqgmUTNzIZpb1bBBNTAUq9YhgdD1BN0Uf7N5Pna5SwtRGOiCMS2sO5SiREJIb0hmmHIpB2CX72avCDv9dL27mUwWsY/44ky8W5os+/D4+QQbPItOJZ06kXd62lG5/eWB7PX+2r3C4XAsEQ6+Zh6IYt/PzzCxJPg20YJol0247Z+dvtohrpxCj+j//yv1KSWMH01CR8lnaZTUqPKjFQGyV2A3U7ezemu0PYqbo6T4upavzisd3E4et9zL/M0hg3Qio3xCHLS93rHapgthi7Loc0O/nIcBRDD0fgnaEqZoSPkTOW9K6CHlUEFAFFQBFQBBQBReAaEOia3/QoUehI77lRj8QXPiTkRRanBNk6ZIvWZCyckd+oIuhHdp/ex/erXIGdrSrW1+kMZdVFu7kmCV0NWytNHGyQlrUCNIYJkRo5dnKSp0zhJd/Off6kDM9eJX5cFRFK54KmFxF6hIwOuZDMhDA8bmB6JkCbOC+mpkl+phrIZGoI+EnCPGI3x2vpCdPkCl5vq20KMRNCZIcht0mdSOwapHckgCRb4RDPhqReIkUr8pzI0uQa59pe96bXMV5y6kLpoM+LmdlJEuBt5A4P8Yc/fEdV1VWMTgyTXEYsW7tEIkybvgBCYR/t72YtiaLHZbJOgtdFyzy1MjfuhBK7G3dLrqNCnQ+0POBcqRuNnAeNzTa235Uo7s9Rb9vF7togqXNRuC+x6+pIGDUkMi2kJoII3h+mbR2dpsiHIrHFvfAiZeuiCCgCioAioAgoAorA9SFw0llH55zoonXovFZiy8m8Rr50U2olxKst0isv3e1zPlWX1UStwZVeLff2xW6uTEd1OcZi22HgcDpAWanTm6WbNnNBlKkxVePMS/yRizMU2+GJQ+aEKDkETkIUFLgK4WpSKmevEp4gyODhiWF6sZykZG4uhTt3fJi5Y1JFkcpW8TqlcnSGF2Hg8DBDE/h4nVvydEIecPfE0tnWzhMO0ZNrTU4HRUrokFv7mque7QVCQTx9+hDVUh1/+vM/8Pr1GzpTeY5w2I/hzBAmJjOYoPQuNRRHJp2gWuk4RkeG6InTa92hztoP2r4Su4G4o1fQZRgHpbnP4JWvW3j7tsUvR+JVia5uaWAr34nCopPNzh6iiD49G0WYdnXGSOzYts6qgvxx6nLaAOCcHwjgtRGKgCKgCCgCioAicKsRsEmMTeoCJHJ+qlkyPAFJWbvBmVPNS0+WJHJ0gLK11cbOTtmSzm1vlqzwBJubFapaMjwBJXbZvTrK9CZJxUZSNJlHiWxRpuqO3ZzsC6kTmzkhc6KQeUgyVaInyzoDgbsQGfEyYLibH+F9JDmUzo2Q7IyK7VwQY1MmJiYYviBGlycU/hmUYFHQRsmcLXk7JounzeFY5JmLc52zPTPxJU+2LVu5melRtCWgHaWK0agfG7u7qNNbZqVOgry+hb2dPQu9cCSEr766g6dfP8bs3CRVTaNUE5Wi5c/nrOclm/eJlymx+0QA+/vyI5LF57pFid3eag0vn+cxv9RGgS516Y+JwxJ1sTnAxLn1uegNkwODqGD672YYuIQDjegqOx9mToAxmB3mRBP1hyKgCCgCioAioAh8QQQ6PxYLCTrfYqti9py8MIPLTPYlR86a6M2yWvXSnsuPStmPYjFAt/sm7cCAxbegdK5G9cEyJXUH2NsqMGh4C1VK8BoMGF7nTKtOilZ/L50TtUtxhiISQFGLcqbsohpZYaoq/LR589C+zWfmER9tYWQ6TNVKl6VmOXsvSpuyONUS3ZTINREIHJIQkRT5qYnlosMTd401pnSN14vKpkj7Ltd2XtaxdN6RjsNXuuum05dozI/7j6ZJWtP4p//wFKtrm4xpt0PinGV8v31sbe8xOPsOiTW9u2/nUCrW2P4gPX/GSOzk3ouEcfAW5ykZvJZpi86BgHQ/DkbVFhr7DQYiL+OXN3ksvGOMEA4kbg5uEoh8mGuSHT84RDNdfvXxfcXPPTNx27ZOn6Bz4KxJFAFFQBFQBBQBReBqEbg8hbCvPCZwNtE7rXaOiqVcJYTgeG23hXCJR0ZakrUYCLzop/TNoH0cnZ6sM2j4KkjqqA21bmB3kwHFt1w4WHbhsBqixwIxcpHrhcDJZEryPZqXcc+W1knNRLVR5IFS3wa9S1KLitK5GINsp6cTyEwl6fSkwRAFbXq1NLjSSma0jrGxGtKZAwR9JHIexpWzJH0OeZOtLPZvGw8p6xgT6/SN/CPSRYNx8EyEqFoZDjJ4Or1vjo4P0VbxEHt7WaqzHlI6uo+lpQ3ei00c0Jjx1ctFPHr0kCEZ7sDLMAjHGmY3spGXrpROyy8NXb9fyG4snjBr7MjZForLBSwzbt2rVRI8DjYMI8mhpkBSdwCqYiMTrSCS8cA3kwDu0GHKMNUwRVr3yYsMJM5yUutdjl5FCU7uulUEFAFFQBFQBBSBQUBAJubO8mlkpHMW4uRob+3Jv+1CX2zmGJ6A3ihbskp8X6pYVqpUgmTg8HLRQJ6SuX1+JF9aLGJxvkjJ3CHjzhVI7ko43KRMrB7m3CpGmpYgPaOapiWJE2mcrFILUbF07NvEi2SVdK9GyVydQcPpxo4TIh+rFEy1GDjcTY+WUczNxXD3QZgSOgMjY7Sb4xQtGGJ4Af8enYXkSehKlE5JeAKRTkn+0iYbr+N2M34xjx4v9syr9/zr6nA/Lu/ie9VGA7v7Byjly2xzEtFEhNs4IlEGQp8YR5swlqpir5jDjz8+w3/7b//dUs/MHuR5/6T9QqgHc1FiN5j39cxWSQe2Omydf8uu/5+992COZMmyM2/qTGQmtNYo9UR3T3dPz8wOuSSN3LXdv7xma7Y0GmdIjp5p8WQJaK2RWu93IuCViSwAhaqHks+jKhDKw93jRqS7H7/iWGu7YAd/KsHzUbfNY8W/HAnioYzhYzfLnNIcIW4nBluQVuYs93DEIrOE1h3kxx38LpSb1t4fu4p3DW23EdHZ25arDcttKf01LwEvAS8BLwEvAS+Bn6cE+scbdx9nXCev1wMYAbqMtcQZ1xq0VmMA874UfnNR2981KAk6WDyVWS/QzDGeOqjYyXHdLjCzLEIgXsbVpQJEIzYlxedYpaGTz5xWBzA0ZpJmTj5zoic4hUWqAJCDEDwXtVH85iZnBwAtoijI4Ts3YKPjcZuZSdjEZMdGRzG1lLllugYpNytgzgh2Jw1fOGXuxmlubMal1yy646ps7lfuryn+lstoPIsX9jf/7R/s+Yst+4s//539b//+z5FT2hJoMS1BzTMJoLM4+HJ2cnpIpE8s0Y4rmMlW8cu7JevP4JIHdp/BS3ybRwh+sAJ2F21rbBRs89s9VNZxOzgfxw13gqYGZ1TbR1tXsIXIqY0M5mz+4azl8K+zMWaXnMn3y8JvayzevtF9tWF5WaDf8RLwEvAS8BLwEvAS+FlJoB9c3OfDO5Dl8owxbU0kyxak4USxLBYgDD+F6/e8ZqfQE+zvR21rA9+5F03bwm9ua6MekIaXGVvVAHCiJoAwgMw01Fbe2jow57aCTtKmyccNHzAiWWbw/8pFU5afatnIdMwmWeehJFheydjjJ2m0c4C6UfG41eGOKwHkMOiMYZ4YBcRhohkF0IX+ctLQCdhp0RjtpnGaUmi0ddvyLuV+W7nXX6tVamhDd+wPv39q2fSwzS3O2Sy+dgO5uCXhrhOYbRCEplors1YskYgiL4BfQqD68148sPu83++1Txf8yHHwDQjJicBUfFG17R/PbX+bxsvGaQZiNEVx5pZaHGE0EC3b2PiQTTyetNTDcYKm4MyrGZHg63ldY3BTQ3Jt1fxJLwEvAS8BLwEvAS8BL4F3KoHQvFKjIQ1k4gGAC/ahJ2gxPmpDT9BqA+rqcQKgJPCb69gGWrm1Fwe2tqbgJ3U7hB7q7BjN3dGAFU8zRLMkUAqjJnH/dv3m9BjOr00ATqs0acUAfEUAcgJcCoCSi3SgICCS5WzWlnB5WXwYt8XFCMdtfMgIrTJK7mNo8IZlZgkBQlT5aNU4S2MxN95y4zJ3zKVXFvG5tXvg3F3A3SuZvKMTwSiVvN1zvFpMIp5CJuM2MX4EbcS5/RFzy1JxwWZmx6A8yFgUcFcqVaCQ2LTVtTUCx0DzsDxvY2NExHyJfG7O/9USP50zLx/v06myr+lPk8DlDwYnXyvFrbZKuN0XLdvbrFqFmagYkZaSNDhZ1gwNRgZiymF864anc5ZaIGDKJL51afLon9i6tVL9Mz29jY37Ad+agb/oJeAl4CXgJeAl4CXgJfATJaDxiMYdGsSkA2oCkfG22wPWbKasVkniK0eAk9MI/nJtOzlq2NFhg2iLaOS2G/jLERBl58IOd8pWOOtYFTDXACA1AoAoU0sH6qSRU1nSmmktX64FdHbQRwHo0lzO5WPQSMUtNxxhAj2Dn1wMc8ukrazk7cFD9hc6NjRMJMskJSQgAU8SyZLJdpGCh6ab2rqld2zlzt20vS7tbeMxpb9pLOcA0m3331SPtznfQfuWsq++eMQ7g3t579SePn2BD90u5wn8l0gQWAUJNVtWgLy8XCoHgVXmZ2eR7Thcfarn52uP6YHd23xTn+w9PT+6Nh/9MXbhzwr2w7clO9wNXWsTALtB1iFW6DEtTYMytjxoow8nLDqeDT13pa3ryerNxaHG4dVGRVm65sHl+ZOKcZn4rZeAl4CXgJeAl4CXwGcggdsAxl0eT/fLxDKOz1zKGvU0pOF5zPVyVkUzd3IWse1NmVe2be15zdZWz2xv+9xOMb8sn7etzPV6SwFQhlnltCLTvgyrQJ2oCQToNLQWcBR4EKjDXJLxVDJygZbtnJQlG8QvbmoubXPLBD5ZysAtN4Tv3ICNjydtaIRQ/vkyoK9jAwNNwBwkCLFqEA0zQkTMME8HTK4bOZHkjsub3d0rezeG6x+13bHgn5hMwO6Lrx9aGqLyP/zrd/btt0/tu++f4093Dmm5/AsBw6SZHBux5Qdz9ssvH9rXXz1Bozdp8ZjqrNU9w0+szEd2uwd2H9kLeS/V4XvuFDp2fly1F8+L9myNGakyjRyFZ2iqMCywMQG7WNOykzEb/mLKMl/NmE3QeKnNCtDWu/kxeyD3Xr4AX4iXgJeAl4CXgJfAJyqB2wbkmjh2Iwm3r2NRFnAMPYGIA5qNNMFPUnZ6HLGD/QIauRJrwvahJdjZhUh8KwKg69jRWtTOaiJ+kmZOkTF7gZvy1epMmLSvuoXmkaIXiALochBoZyNxrJ9GbGRqwCZnoCaYawPk4rawaDYPafjsbAPKgiIRLTHkBMiZfOWiAoXSyGm81bp8qlBDp5LC8z99LBbmFWR4hz+3yf4Ot98piZ7p9lrFIzFiPwxadClKIJsqvoURy2Sz8NWdWaWqIDTQdQHsxHH35NGSffX1Y1tYmLEBgqp0ZXenynxyiTyw++Re2dtWmE+5wyr0VmpZ57Bih2tN+2GtZt/DqYLFNj+DOu6+F1iIEwGTaEzDOO5m5rIW/RpQ9wVBU0YAdkH79dMbkrd9Cn+fl4CXgJeAl4CXwKcggd6e8tVhqs70nn2TAbMAi1ve5D7d018rl9ft+fTf5Ur/OLbhMwiwhdqySwDWCekJFPyk2cD1pBa3BtsyVpHFcyN6Zds21ktw955BHH7OfhGzvpaVDkUunoMNKrRfqqOdCwGdtHMaBEkaAl1OI1dkH3ARQD/MJaEmSGBqmeT6AIq8kam0zcznIQ7P26MnWVt+hInlLOdHiZOZQzOXO7dkumQpzCxjcTRzQd69JpZkf2Vx7+zKyQ900PsN32cVer+46/LV9bZl82n76svHtghCLpcbVq+1CHajbxmdbCyKLyLxIrIEosmloIAIg6qE7+26PD+Pcx7YfR7vse8p3I++r6HG/NJqXDttWOE5jdh3NXtBI7bRGZbRJX51h4C6ii0QCXOGqEpTM0kbfJSx2KMxeOsGQzNMNzHVV+KbHfbV681u9qm9BLwEvAS8BLwEPmoJ9A9LdXz7EFj99l36Rte/u8e/630ufe+2N6+b83nzZ+kt47Z9V/6bPvdN6aWNS1mnnYWrDL+5Zg4/qwwD/gSauajt7YssvG578Mrt7pbQ1FXwn6va0VHVTgmOcn4YtVIjit0SADAwp5S/nDOr1FZvUNIQ6JJJZIUz4ps7C8wsM2jZchDNDU8lbWwqw5q16ekBm0ZLp/HU1FQKHy+CoUx1bHCoDTUB0SuJaBlFoxdEtAzy1bP1S5xTVxalcbJzF26Sibv+OW1FUC4NLOANkvJ8NmeDrKFJmZOLZKhVclGQGGk8BcRfJ1uSfOKLB3af+At8o+rrm6Yt6qgh+27fnv9Qs82DHNo6zUa1+CtC8hNbhN5gciTKjNKYjf9ixhIKmgKuC3yCb++ZbqjOz6nBuUEE/rSXgJeAl4CXgJdAIAF1pG/Vmb53+X3cw2DJMBzIh8N4NHPwy5WrcQjDE1YiCErhHG7eo4htbXVsHVqC1ed121gr2Q6cc8WjmlWb0rMpBng+AHOKCh6COYE6tzpwp/I0nhGdANQEALEUoCwTaQfxCIYnLQh+Mr+UhDg8Yw8fDWL+l7OxCQKkZAmWkrmweBxtHmAunhA1AfnERB4u002BRVETKP+7SP3nPq4KwV0oqyYSc+9G30OvbMIvI+Ty6z1Pss908cDuM3yxncuP+mq3wVGTD/6cML47TTv+8cI21wB4B0mML7PMcdWwII8GZpgznBnNJ2x2cdkG8a2LTEPzqEiYMi2/U4PzGQrVP5KXgJeAl4CXgJfARyMB9fB3AQA3VdhpNm66/j7OhwNt9xRXxyzu6VRPXdFWq4CXVu3H0cwBhYjy3YaaQKThhYu4He63IAsvQUtwYuurTdvZatvRPi4nRyk722bMU0haqa0QcYyHroA3VxNtnXZH/loys9QxYAIwFmcdAMyNZNI2uThCAJRx/OQ6+M2xzrRtaroJaTg+c6wjw6eYW6L/I/iJIGSoPWITvDuBEwc23FbXevd17JfrJdCVkzR44aL3dN3STXvd1c/pnAd2n9PbvPFZaBTVTlVpDImEecGs1c4LOFgI11sPmjZsu2lIRG8gSs0hIgaNTiYtPz9o8YVReOuwK1d42P5W98by/AUvAS8BLwEvAS8BL4F3I4Gf0hm7e2XI5vY/vu49hFiqn1bMK4OZZZlZiqIgE1ATVCsJK+PedoFmrlho29m5Qt83bXurZOtMXG+sndnm+oUdYX4pLrp6J8sIZ0SjHPJjwjoAdfKb01BYA39pzgS+BOZET1DiChRQATUBwTgAlBkMmLIMi4ZH8ZubTdkimrnHX2TtwUqUkPoMl4aIxpipQYRdQCvHGi/BqSbyceXpAp8ImGpxQPLnAzrC534Xf70MnVQ9sHOS+OS2bnbi1Y+521TrodwR6StxO1sv2HPoDTZW21bCeVizUgM0ODJCgF7TMtGKDS8lbGpl2AYWsL/MY4rgeOuCrFxDpHv94iXgJeAl4CXgJeAl0C8BdZe9vaXricN07krv2Vf78v487/PY1cDlKUuf3tq48/3PofPXpXPp32Z7XX5OAyMi8YCaoIm5ZDMLoGP6uZ6zSjmGf5zZxpZhYlmDhBq/ua2C7R8U7fSkbgU46EqHwLLGUOAFVw/AoSgJoG1i1BOaIL0M882xA3QVdD8AuggBTXBLSUeIaikK31moCRYHbXF52Gbn8mjlMjY5GbeRsbiNjdbhmiPngZYlUvDMQUkQiZXQ7nW1dOHX4MZtFOcXL4F3JAEP7N6RYD+6bGttaxYgIl+v2A8/yL68w3xUjNkoKA0AdMM06kOYF2TGmjY2n7XRr6YshsYOFV44mRU80PvteD46GfoKeQl4CXgJeAl4CdxRAtcBlu6tglb98Kp79f3s3a1Pv/05fkpNe4GOK0VbabS0JUBGh2iW1bQVSkxMHzfs+KQEaXjTDg/itrsds62NFmvDtjfqdrTesgsskyqMampo47rUBCpHebp8NfR1WjNp0aSpU8iUKv5yUBNEE5YfytvQNKBtomYTBAWfX4jbysOErTyIEwDFbIyxUpaIlvE4kSyjTcAcwPgyCIrzlwvNOZ2MZSLonlfv3T0vu37xErhHCXhgd4/CfL9ZucbitlJpOERxUCctvHWlnYqtA+y+36nbViNJE6a5sJDiYArN3VAGu/HRuCUfj1rsV4tmc0NMavnG5zYJ+2teAl4CXgJeAl4C71cCHxoQ3uVpHYi5bqyiiIYaW0hjJoAleoI4ZpYQBOAv12xFrVUXNYH85pJ2fipuuSo+cwV78ewYE8sy0S2JFXAQscJxykqnAwRBgWCccCa1wMxS5pUiC1cZkpVAlVanlRM9QYuSCZUCIIsTzTLNmiL5KHy9M8uDtvRgwh49TtrCcgSTS4LLjWDAOVKENLxMIJSCJVOYW0JNACPeZd5sXi7XPfPLi5c7n8I77K+zP/4UJOCB3afwlq6pY3+TcD384myNtYL1OBGgDp8SEWr1wtaPk7ZLk9a2c8wvq0TCPLbZSMcmxls2upSz1INxM8wNbES+dSqpv7RrKuRPeQl4CXgJeAl4CXgJfEYS6O37rx9lXP+wDtRdfzXMVRo1xhj4y3U6OWu3IACHNLxwATXBKRxzhxGAW80ODxsQh1dtH2C3t1sJtof7VTvfr1sF4CfCAWJTXo5SBBI1rHWAUQDLgTkGQlA5AQW5WiGaZdNykFoPjacgDo+zTUIQTjAUOOfm5tO2tIz/3FIMugKoCRgOpVNti8ZjmFcCF2MN8nGRLJX/XRfV53bZ3DUnn85L4CYJeGB3k2Q+4vO9Ta2rps690uzqZIM/59iar8Jb98cT29iM2d7ZoJ0C6bBWx7euZDOsU8xWzdGwTT2atNRjeOvGaHA1fQXRZri8kvvleb/xEvAS8BLwEvAS8BL4MBJwffRPK/3+engHXG6rlzR2aOYAcjUiWVYrSatUMnZxnrCj3aitb5i9gJZg9WnFtpmUPjgsoJlrWLUAnGpDHA7/kqBVI9D0iZJA2jlp6bQ6YMduoE1T4JIGhpl42UUV0bJqA5miDY43bWouBYDL2PJyzpYfDBLZEmqC8Rhk1lAYDFwQBKUD1xwavUQDrjm0cxHyYu1clv52k9794O42OekZ/OIl8GYS8MDuzeT10aYOHY37Ggj4WQyyzc5R3WqrBdv+4cS2dgfsyCZgrMvhPjwQ0NNNQ28wFavbxNiUTX01bumHaOyG+DSYoQrayI/2qX3FvAS8BLwEvAS8BH5OEujr59/y0e8PyPVWQKAuZAwLI07qmrRoOi9/ucttG51ZPYOJJQFQDqAm2DoDwJ1BS4DJJev+XsSO9qJ2yET0OTx0oiaokE+g4Qu0cWE5yr07pa2ZbJlFapUeT6aXimgpaoKIDWeTNj43buPTIzY507LZ+U4QxXJuFu450RRATTA6fmq5HD5zmFiG+ShPlaC8tB9uwyfU8e3vIrybZCxX5X37feEd/q+XwNtJwAO7t5PbR3qXGjvXYNCMdGhQL2hM99p2slq3XXhdzg7kVdegiZLxQhNr9KaNRAiYMtawsemU5VemLDqDb12KTyN2tSn6SB/aV8tLwEvAS8BLwEvgM5fAzTDh1QfvTdt/9U369TdJKy2cxiChv1xgDtmBmgB6gmYLptwaoUkqxJssRyAPj9nZGQAOf//1jQt7/uwC4vBzwF3JTg8gGThPWb0VjE6AZllGNRnydRo5leH85WQGKRCmVdEs62jmWmjmCJuC71wGi6MBGSBNZYhombIHD4dt+WHaFlciNk8AlKFh0mTKlkrjM5coWjIJfIyJ5kBmlrfJkMvBorpoceOu8Oi6vy63N5Hodfn4c14Cr5OAB3avk9Anc/2ahgUH5M5Jx86elm0L7rrT/Q6OxWp6cRQO1ho6uyokm20avaxNLA1bfJIwwDlMG1I0Q67N+mRk4CvqJeAl4CXgJeAl4CXwviUQAhcNGpL4y4kZN2ud5hB+cxkrEtHy5DBqW1vQE6xV2FaIaFmyg/2SHR3VoCdo2sUumrkKNAZo9UJ4JloCmVk680pp/gSLBOoEvEJAF8HiKGpnaOYKALmGDRLJewQ/uam5LJq4nM3MZG12dgBfuYyNT8VtnFgCI6NEAYdvLpmsYWJZxmcOUIiJZa+WjoOeRc91dYzlOABDoPbq9Z6br+xKTh7cXRGJP7hnCXhgd88CfR/ZqVFwsz8q79VG4vIMvsKlw7q9eEokqdUaM2TxoEnUSxfNAe7KlqYhHJ3t2NyDYcs8GCEkFE7HaRopZrzCUnpLUml+8RLwEvAS8BLwEvAS+HlLQECru0SCgGzSzCWsCsdcodi2i7OmnZ807OCoA2l4BL65lq0+q0EaXoaaoGwXpaZVoTPAWJKxicYnzmxTwU/cqnPuvMCVQF2NM00iWaKRi0IanklbfrRjw+N1AF2UieqEPZDv3CO0cwsDBESJEMmyCGn4OWThlBRjgjuOlx6xBYI1yFM8fgKNobklO5eLQNvVpXdUpP1Xx2Bh+v6x2tVc/JGXwLuRgAd270au7zzX/obENTQRNTE6qHTQ1hEOeKNmP6yW7dl2m4Ap8WDOaQCThRyJhpjxGhiuW3oyaamvxyxK4BTL05gG7bXL8Z0/ii/AS8BLwEvAS8BLwEvg3iRwn5AiGBBc1kxmlgJcMrtkH3ePdjuKhi5mrVYSvrl4QE2wu18DyEFP8BwTy9UqfnPwzu3H7fQoZQX8/Ev1NDy6eeDZZWTMQDPnRjUaezgKAYG4cF9+bQJecQKgpABkWeowAjXB1OKwzS9P2tJijOAnBnF4G8qCGu4l1YCiID98BnF4hfukkRNo69W8aRjozs4AAEAASURBVF/rdeMdV5/e9CR9oyUagD6Rv/vFS+B9ScADu/cl6Xsvp7chChugANS12ZeFwgmhgNeKtvmiaj9st+x5MYexghrouo0A8SZoSGcwPxjFNCGzkjd7MgVvHYTkKWanmAXzi5eAl4CXgJeAl4CXwPuSQK9m6Lo+2AGNu9bnTdP3lt8tIzQ51FARs8iOgBjatRYxteU3RzTLwkXMTqAnOD1q2+FxHUqCmu3ttDG1bNjWdhFQV7DTzbqV8LGTZk5QrRWAQ+czp4iWyl/PLJ85pZCfm7jmyoxaSpCGNzCzjBLYJG75sTiaORGHY145E4c4HM3cyoAtLUXhm8NvbqRtqVQS4nB0iPEWGro6ZpbKUwOj3nGTntfJWbLqvcbhy+NX5dibOrzq8unN49X7lKtfvATetQQ8sHvXEn4n+fc2HmEBL5uQoP1ibmuvaAd/OrIfv6vb2lHc9myMJrNMFMyDICbmAgFTZqeaNrcybMO/GLYY/nU2BPBTW/tycY3VyxN+x0vAS8BLwEvAS8BL4F4l0A+qekHH6wrqvfdt++zePFx5ykvnpZ0jJAkauQaRLOuNvNVrg1aS39xxhIAnZqsv2vb8xxL+cye2t18MzC/L51GrFdJWhXRchAPym8P5g/wUCAVf/mCwIe2fJpxVlgYvIjGoUmIFn7lzS0Txm4N3Lj9O1EoA3PziILQEeYDckM0t5Gx0NAJhODxz+WqwzWSalkgC5GKiJpDfnMBcM9D0hc+isZOTkdtyKlh64Zo7d/M2jIz5cuRFwlfHZd2yuvn03tE96/e8BO5PAh7Y3Z8sP2BOalAumwtNeF20rYVz8uH3ezS4EdvdnYLiYIwmNUFzegwhednmaDRnh7K29GTahn41Y5E5Glq1t/JVDhqo6xopXfOLl4CXgJeAl4CXgJfAxyeBtwWEuk9jiBDIhftAF0wtZXIprrliwezouEXAkwuiWZYBcEwY78TYjwHuOraHVu5oCwpwwF8RRw/0ZuQn0OZWB2l07PY1YNEq8CVA17AcmrmhSNKGZsZtdDpvo9AQTE61AHKxgDB8YSlpC/Ntm5g6t4GseOUAg8QEkJlmJBqaWoq3LgRVnHsJuO4yplG97pKOZMHSDw7d+atb97RXz/ojL4F3IwEP7N6NXN9xrq6Z6GuAOpxv0mhiDlFbr9nO8xKNboRGFgdlGtc0qwwpRpg/m8TefGoyZxMPx2xAvnXDNMICdUHQlHdcfZ+9l4CXgJeAl4CXgJfAW0vA9f6RlxqoMCtBnC6YuSl7B67ijAi0nwLEoVFrp9DMJazFOKKK6WSzEbFyBb+5M8NHrhZSEzw9tecv4MXdqNixqAmOU9AXDFkN4vAqs8PEpSQ/RbSUds7V0vnMSYPm6AREL46GDUqCBBZElGwZKJbG5vMEcxuylUcTtvIwYQvLEZuZIibASMPy+XIQBCWdKVkyVcLUUnx1AoX9Y6J+wCXAqqX3vKubuzdM0QWd7viu2/587nqfT+clcL8S8MDufuX5nnNTQ+IaJ+1yXMLkgYApB0+rdoBvXRFTiSb/xF6HYURg4T5IIzrNrNfs0qBlF/CvG0VVF5i5u4apt/F7z4/ki/MS8BLwEvAS8BL4WUlAfa4DH3d7cNdb96fugjrld11fLtNK3a1pXkwhOxkAXRYwl7NmM2PlUsKOj6P4yhkBUKAl2KnYPrQEh/uMKY6IZrlXt5P9NuaWGEyC1+r4xzWCums4qdlhmVe6oaXGJ04rJ585URMULB4p4jdXtxw+/SNTKTh0Bwh6gs8cdEvTs1mbmk3jLxfDh85sYgJTy+EW1ARNTCxZ0cpFiOYdArpw/EOouJfQjkL6ljeTa9/N/tBL4JOTgPv1fXIV9xW+RgI0sp1Cx47XSlAcFO1oV7x1esUxzccB6iDupDHNj+Bft5SyqSejFp8A0aVo5NUWv1xu6hBeJvA7XgJeAl4CXgJeAl4C9yaB60DY22Z+E5gRoNNKJMs2GrkmZpZVwpPgL6e1cBq1wyMBujZjiKY9C6gJzuxgt2SFw5bVmjKWzDNVPAygIyLmSxAns0sNItwqLaBAl/zmpFGDO5egbCnWdATN3DDUBBMGcIvY0grUBA8H7OHjUVtaztrImEjDGwRAYfSSIMxKijUGOFRUS8Yvyku1UL5hGbfJrV8OfmyD0PzymUvAA7tP9gW7BkuNGg1om7XUtupRyzbXCvZsvWp7ZzGavxhNbQNQV6MpbmG/TgM70kFTl7P4ozGmw2iQ1SYHjXA4+/XJisRX3EvAS8BLwEvAS+BnKQE3JtDDC7wJXEk7F07uBmAO8m8D0DUIhFKvKaJlxA4OmgC5gq2tncIv17LdTeNczI72k3a6GrcLAb+AHEkavsC0J8g3LENjBq0CWRqLiFJA5pE6h2YNICYzy2wEzRxUSmPzIzY9P2qLi0SwnDfIw9s2TRC3qSl85qZrEIdjajkAYTjjFOXXIY8w/3CrXPVk4bnebXgmvBYk8H+8BH62EvDA7pN/9TRlalNLLesc1O10vW6rmw378SBBJMwBbN474LYyoVOObIooUaOjTctMJyz2aNRsiXWIhlrtf9AQu7+hUHwjGcrB//US8BLwEvAS8BL4sBIQrLlpcb21wJ06dHHMAcQ6WdYM1AQCcnErFmOsETs/j9jZadv2Mavc2SrZ+mrN1lbPbHeraMe7TSsUmA7GZ07TwYQzYXSgyGrymwtmgdkKxGngoVU+c1rxeUNDF2jlohEboEqZMYjBRwB1o5hWziUJfpIlqmXWHj2KEQAF2twhoGIGNrt4gWiWRYuxRiIl8pKmz4G47rgkfErHDacUV7V1TkJOGkpxdelNf3Oqq/d0j1z+OnNfd/+0PLt183teAk4CHtg5SXxy28sGSrx1NdbzllWeHtnWHyr2fLNqG6eDxL9UmlPm2ipQHFRtHhOI+dmkTX2ZtcQDtHWTNNbirYuFTUtvAyNx6PjNGy/d6RcvAS8BLwEvAS8BL4H7l8BNvbL0ZAJ2BEFRAJTWAKaWhEqr5axRTdgRXHOba2YvVuu2tVa2zY0L29kt2NlxwwpnTSsexq3aGGS0EBU8Q1cmMCdagl5qAo0KtDq/uRKpz/CZOwPQXWBmWbehCXzjZjM2uwAlAeThs0TcnpxM2/hkHDNLOOiGGjaCO8hgXtQE+MxFysFq8OqKFCHMX8/RC8I4vFy6T3/9dZcu3CqN8vppS//YSLndx/ioP9/7yPOnPam/+3OQgAd2n/RbpIlrstZwHT6sWuH7Q1v/9tw29/N2aKO4KEcAdZpzO7IFZtOm021bmB6xqa+gJ3+Itm6Y1y/Lip/e7n3SUvSV9xLwEvAS8BLwEvi4JdCFNOGUa2/HLS0dES47ADpMLcto5s7O2nZ8iK/9QQu/uQTB1KJEtezY1mrLtrcJhPK8aWdEvCwB4jCYvASFGhIqr95V5Wh1ZpFh4JI4wGuA09lI2gYnh2wQt46x8QaBT6LwzSXhmoM4fClh8/No7MYrlhnAV06E4QQ/CQOgsBVVQZCvAJjTALpyOHW5dJ/cPXM7mHTuB0Yu/dXtXQDg1Tv8kZfApywBD+w+5benOaMWDd0ZM3U7Tbt4UYQg9NwONpPMocVoLjG5pPmTMcU4s2lTo1GbWpiyiS+nLTFLNMwM9ybu1jR+0mLylfcS8BLwEvAS8BL4JCUgkCUNkUCNhmwCYWwDegICoLRiaObwm2uwX0tZqUwAlL2SPV8t2PNnR3DZVqAmIFL2LjEpT3HMOMpatckKoKsGfHPSyCnoiRsLCGC54CTymVPAEoGtNpo50RM0mQ9uAeriNj6ftfkHg7b0cBoTywS+cxgCTbShJqgTybICaTjE4dlTS6UrFo9JG+dAm8py5Wkr6CafunAJgVwXxIVn+4/Du9w9l7d+xJsuPP2IK+mr9hlIwAO7T/ol0tDVeYXHVas+YwZuDR+7/Q4zcC3mvjRLpWDGbSzk6zYVb9vcbMomMY9IzQ3hW4etfIKGJuIam5AJphPc90kLxVfeS8BLwEvAS8BL4COXgPpe1/+qqv2aJUEWBT8JtXEBoOsMWAdqgnYLioJO2irlhJ2eRdHKwTOHZu7oqAo1Qc12dxv4yzVsf5djQN7Jdt1K4CqxyIkxTvQAzhevS03AqUBrplSwkbNGYcFNclcGftss44XceIJolgRBGU9DEJ606emkzc1nbHE5bQtLUY6Jvp0jVibjjXgiikYOzRoRLYGel3m7Z3Rb9/zumGQBgNXWL14CXgJvIwEP7N5Gah/FPTSIaptpL6s02ts/4vi8ip38kQIBh6SjcToNURzkMH2YXYoRUnjQcsto6kaYnZO2Tv2Fa1cvnykSdCRhI9t36aN4al8JLwEvAS8BLwEvgU9bAupd+3tYaaR6AY6u6xy0Ai1p5hIEQElYtZqxahky8DKRK6En2Fg3tHItW0Mzt7F+Znub53Z60rDqacxqrTTjAcXEFrSKMWSQ74W0c9oqEIpWV26opeMu/OWqaOZkpFmwgcEyYE5RLAfwmRuwFTR0KysjNjeXsiGsgAbzeONl8a/LQGeQBNDF0fDFajxdDWAnLV2dcmVy6XRrvc/ozpGsB9DpbCid3rS9+0ofLkrXm0t4n7t6P9v+MpTrm5cjOWvpPkd/vm+eZ5ij/+sl0CsBD+x6pfHJ7F/+/BuYLpxhiQmB6LOnJdvYacmNmQY8EhhryPVZJhO54YaNQvY58tWIRZbQ1uVoYNS237C82ri82iDdcKs/7SXgJeAl4CXgJeAl8FoJdKGOwJtsZkLtnHpg9jsCYnGIw9NWJ/jJOT5zB/st29o6tp3tE9vbg6ogWGNo5WKBtc7JHuaWBEApK4DKS9Cm/NSHaysIpP3QtDKkJhDQCAFYmiR5IlqODGVsbC4NNcGUTc62bWqmE5CFT00bwVAAedMVIl0WAHOw2eE3F5pqOjNL+b8pT3fMbnCscypbaxfccBAsveBMJ7rgLrz+6t9uPnqy1y9Kr+XVssPzt/+9WxnX5eHKdde69daZt8/X5ee3XgJXJeCB3VV5fNCj/oZNlXn1R88ZRcJs0jhdQBi6X7ZtomB+v0+0q4u0ndNoqZHNMdM2SgM6jl17lmhUqQfAvC9mII5BY5d0uboGzjU87viDisEX7iXgJeAl4CXgJfCZSkD9rzOxFHhjlrUj80jWdiqgJqhUIA4Qf1yZ4CYEQjmHmmB3twwtwak9e06AtNVzIlpW7PSgbeXTjNVbcrhQqLQsvT99fLBq9tb16SFwE5ALDTJrlFpnKNC2JGaWKdKlUm3LE7VykjHCHBPADx7n7fGTFL5zZuPjxMbMtvCVAzJm0M4lShCHFywWkQ+eyugdvbgyOf3OFjdmebsCXG3dSOjtctFdLift//TclMvrl7uW2Suj9/FOXl9zn+L9SMADu/cj57cuRT/hV5oLTYRBG9PZK9rZD1V7vlaxFydJ2wTKFWm4ZUoxSlzMCUhB52Y7NoXZRObJENo6ImGOJkPfuqBGroFQhq+UEqQI//hGoUcYftdLwEvAS8BL4BOVgOv1ru/xdFarUrmU3QfVmdAb/eY03dS37WnQLVAnaoIMkSwH2eatWVfwkzj+chHb2DDb2cTNYrvI5G0Bf7myneBPf3oCz9xu0krQHJXJA3gGtMqRX2ijE5rjqH7qt+Xbpv5dAEw+cxesZ4C5ouUIhDICDcHkzIBNQE8wNTlok9MZNHNZCMNTaOmiNglx+OgYfnMD0sxhTomJZiQqE0uZWvaPC/qPKfKV5eY0yi8MEPPKTdecuDmfaxJfngrv6X2r4fu8+Y77uaJye0HW/eR6ey795en4bWR2eyn+6scpAQ/sPs73ckutaLBlCl9uW2OnaDs/HNnaJiGMT3IQkueCRnvM9uGtO7cFZuNmx3Bs/mrKcr8aRlsHqJOtxbVv/f00cbc8mL/kJeAl4CXgJeAl8FFKoBcQvFkFNagW0HKL9uXgnoRjThq5jhUv2nZ2Dp8cfnGHh23b2ozY6vMOvHMV+ObKdoj/3HmlDTyT1zwAkJ6+FQBD5SPNnDr1bpCVsDwX3VLxsRuBW/0Ak72ZwSSauZSNA97mFqAlwJpneSVniwsDNjMLz9xoEyDXsERCAVDw2CcQikFLoDUCGJQXfyQAjMpfUtF6P6DhVbBI1ve4vP07/KmVuB/5/NRa+Pt/HhK4doj/83j0T+Mpe7uDoLEOJt9owCEUrW9UbO/7Exr+mJ1UR5iPy2OIAV8MDe0kkaxmYpCST2Zt9smYDQS8dThMy1da7f8rDfHVkj4N6fhaegl4CXgJeAl4CdxdAld7Oh1pdQDFbbv5hWAgTBPe+2qaMHWYVyfIT/saXoWrfOXabcwv4ZhrQU/QaiahJyCi5TEgbrtka6tntr4GDy3k4bs7DaJc4lMHLUHpIG2lRhJLnCE0c6IlYHL2Zf7svtTICTgIaEmTpkECfm8AsQRALENV8pGEjc7FbXZlwpaW5mx+RcFQOjYz2SbCZRWeOQw5h6qWz5UtlWkE0SzDMYLycqCk97ndOS775QNJIPwaby7cXQ+/4JvT+SufmwQ8sLuXN9qv9n6HjZ786y4IVoxfXeWHoh1ia3++mcMkQxQH6lIgDWWdIBrV3BwNN4354MKgRQB4luYHLlAXcT9098O/FyH4TLwEvAS8BLwEvAQ+Egmof+vt43qByX1XUYFPNA5wK1xzoiaQz1sbU8tGmiiWcSuIOPzE7OSobSdErtzYqtr2ltkWPHO7W0Xb2y3YyW7dqg187YByVVhow4AqMrPUrKyAncYXAlzymxM1AX4ZTOvG2CYBc2kojLJxNHN4XgyOSAOXsQn87Gdmk7awnLWVh2joliM2MSETS3zsUnE45oqYWlYtGpdGTnk6Wbmxwjsc01Da+116x2uve67Xpe39vt7XU/SW+br6va86+XI+Jgl4YPdO3oZ+bK9rMPoLjgagzDWjutr783151AaZnVat+Md92/nTkZ3vEkCFRliRMBU2RbgNV2obH2nYwyXs5lcGLQ7vDPGLmTwkdxyl/eIl4CXgJeAl4CXw+UpAvefVHrR73NsHar/3+FWJKJeQ903gLdTHhalcGS4PbdX3JwBzKTRy9MQ1AppUB6wMNcHxUQQAR5Cz5w3Wom2snRLhsmgFol1WDoFo9Qx9eZo1Sg8uACcNnVZHS6DeXWU4UCeTyDJauXO69zO2FxCCt20SXrkZrbNQE6yM2sJCHt+5hA0NRy3P9Tz0BdksxAfpOqaWaPjwmZPvnPzmQj8PNq8sbzOmeSWTD34ipHPqVkPHN4/VdK13uS1tb7r3tf+x1+99ycGX0y8BD+z6JfKBj8NOpL8SroOiUS+jmTsUb92JrT8tWOGwQzOvBj/K3yjdArNwUcwqRls2he384EPx1tEApLj3ZTugzsEvXgJeAl4CXgJeAl4Cr5NAt19WJ6oj15mq7708hp6gBSBr1mNo5iJ2jJnlwd55EPRkfzfKNmo7W1rbtoOG7mg/ascVmVii3Qv85JSP8nN5umNOBUsYgTISONlLM0fIFKgJhoazQRCUkYkRAqF0bGExju9cBGudmC0t4Fo/VyFNEZ85tHFRzDUxz4xEw+jZodmmJqHDNfRx652UVh0+r/GCnujTX9z3d9uT6L19Hk9721P6a69KwAO7V2Xygc70NqbXVKHNjxTn6c5J2863y7a2XbMXRM46wna/ITCHFf4AM3tjVrL8MHb101GLPxoxW2bNM/unvuIza6CvkZI/5SXgJeAl4CXwUUigFxB8qgNM1VvUBFrUiV6CMOgJxBPXEnF4M45mjhV6gmo1bue4Suzt1dDIFez581NbfXaBpq6M3xz6taO0VUqQi2OiqbWB71xIFu4G6ipJJpaKkCaTSIE5UYsTACUCbIwSzIT9DMnzY4lAO7e4MmwPoSZYWEnYwlyEoCgt/OXwtR8oQRxesoHMKaCuxFNI06fFAbnwqAtSe8cgvfXpT+fycOc/t637brX9VL9b907cs7hjv/05SMADu3fylnsbyDcv4GpTwpGyI7QxzKNWXy/a7vMLW6OTWC0MQWogh+km9AbHdBM1m8NWXn51I49HLfYA8pnpwTAS5tVM37xS/g4vAS8BLwEvAS+BDyiB64ap13dtLmXvVZ1z5/sfQul60+q6M7wUyBGoIwBKJ0sAlCGoCQBl+MFVK3E7PoEgfLdD0BMsabYIaAYtwQH8socHFcBc1Y73WnZxalZsRIBsgleOw85Fs3Tlqi8XoBPX3AW1ET1BERBXgZoAzdxE3MYxrxybwsViasDGJ5LQEaRsdkZE4vjQTXdseAQf+yCiJaVECaASQ0snDV3w3O75+8cn/ccUHww6QnAXmqHqXK8Zqo7f33LdW3NSe7UWDpT2XnHPqO1113vTun13TzAr7k5+JNurzxHKx9U3rOLN8vlIHsFX451JwAO7exHt1R/UvWTZm4naeybvOkcVK/y4Z+vPKrZ9HIfeYJimH5MMO0VTd2EzkYJNj3TswVLeJr4ascQyFAfY1Qf+dTd2aL0F+X0vAS8BLwEvAS+Bz0ECDsi87lk0BO4fBrtjbcU3h0auAUMsWrkKZpYiDS8U4nZ0HIFrrm2rL1r24mmN6JaYXm4V7Py4Y/W6jCZzALlBAB2avQAcyndOgE5+cxp+aVUZ0qaFK8aclsZkMg0gSwHS8tAPTDJZu7CUtAcP02jnhmx5KYtmLmpZgp+kM/jZJYuWSuKUEdOK713gN+doCUITzhDUvslYRbxyblEd+30M3bVPbfsmMtCzvWn69yWP2+p127X3VT9fzoeSgAd2H0ryb1Jui0aVSbzOfsuOn0Fv8LxsO8fDaOuG6QrKmGCewVtXs1nMMKeH07a4PG1jv5iy6ByO1wqmpaApapf94iXgJeAl4CXgJfCzlkAIUkIRhLosZ2YZbpkM7UQZzqNZk99cMxWAuvPzNtq4FmaVRdtcPw985Xa3zQ4O8JXbj9vpdswuzkQBPsI8rLzdBeC0SOOjMgWTNOB2q4CXzC01c4suDyCXi8YwzozZ+OKQTS2OoolrY4HTsTmoCabn2jY9DciDomB8/MSyuRqRLBXFsnUJwJSPK8Np13SsVUvvYL9Xa9V7Pkzp/naHDU5v97mAO/eEfusl8PlJwAO7j+adusbXVcg1qWyZ+bNjyAyw078A1B3sVuzkIg+Mi/IvSTcQYV6wYZPM1E1PDNjE4qBlFsfMhuhY4tzb24a77P3WS8BLwEvAS8BL4J1JwPVh76yAO2Tc26+qPt01hD7qHNGidTLAnjRcc5AFAeTkK1csRSAOB6idQxt73sK8smabmwW45gq2ybpDRMvjnaaVCwng2QDwbIheOA/MypEn9EKBNo5NAKyciaXMLCt0yVV85iANh3oorTUPMcJQxIbHM4C3bEBLsLSSR0NHIJR5g2uOHHPEykyVLJk4Z6solkWeJtTy3S7pXhmoPrel7h0sCPC5YwVb0ZP056X8PrflNvn8lGftld3bluHeh+pxMyB/XS1Dao4w1bsmhX9dXfz1+5eAB3b3L9P7zbFDA1Bhxbfu4psTO1urWGmvIwUeOroE/zRjF7VBTDDmluO29CBn+Xk6lRE6KzGTOkuPn0WDfL+i97l5CXgJeAl4CXw8EtBw+M2Gx7qjf5HWSeelSUsSACVNAJRBNHND1mwMWKkUsyPoBzY3OvbiGeaV6xe2u11AM1exs+MGWrmGlU6AZtUcfTABU+iFCWdCXqImEKCTmaUrV4Nvga8qZ+Qzdx7SE0RLlss00cqlbXZu0GYXcvDO5m16Nm0TU2kbHU3YyGjbRobrlssRDI204pmLxMpQE5TJR9o+JwkN9rtmk65kTt6y9IOCXsDgbgvzdUfa3i3v3jvuZ1/luqdVjrfXoxeQKnX/s+rcp7j0v6Pu+3kT+fSCOklBxx7cfYrfw8119sDuZtl84Ctqxvi5NmiUCkTCXD2z7W+P7XirYdVmEsMNdSYp/nVwoYtYZrhts9jgT39F0JQFOpcc9yb6f+4f+JF88V4CXgJeAl4CXgI/QQLq1V6/uFSX/WgABZxJpGxcFAglFphYFgsxO4dL7uSkCnE4mjlMK3cwq9xc7dj6WtV2WA93OlYoo8lDq6cAKO1gxlSmlhpcaxjVu1U5KjeMaKlBc1JmlpGYDaTT+Mwx7zoJafhMy1YeaDI2BWF4Bh+6KMFQGjaYa1hM/nJQEsSIghlREBRt6fFDDZ2CoQgsCrBo2z/g59RnuLg3erdH+1zA3N2eVqneTD53z9en/PQk4IHdR/nO9BOlY2iwFuGpO2jY3lrZvlsv2Tokpxc05BE0dRm6mTzdTI4OIDcRsdQDrPO/nIK4BlMQ+Wh/NjNVH+VL8pXyEvAS8BLwEvhoJKB+M1xDrYSAl4Y4AnEJIlli38LaasbQzDE5Ct+cAN3ebtXWsIRZW4Wa4EUJE8tGwDF3fpiy0vmAVSAOJy4lPe0AvbIDc64s+bXJzFJrmTUEXRGAXIJzCQBZmv56KJ+y8bkkVjWjtrwCcfjDBJq6Dv5zDRseqtrgMCXkSpYeIBBKItTGqY8PAaJAYu9yHWjRmMAt/dd1pT8Pl/anbh2o7C/zp+b7Od7ffUOf49P5Z/p4JOCB3b2/i/4G9K4/5r50hEa2MuYVu0U7fVq11c2K/XicsW06qSKNtOYOM7Zv4DmbnsGdDr+61EMM8cVbNwyqe/lm++tz9YH7r/bV4mpif+Ql4CXgJeAl4CVwDxLo7Xtu63d606nYm9P28s1hyxL4zeWgJ8D/rZ62UiFppwQ3OTrGZf2gZYeHtYCaYG+3Dl2B9isBmfjZQc1K+NhV6WebzJCG5TuNnDpW1UBnHZgrsi+P9yL+csA/iMOzWdwjJhL4zCVsFL+5qSnoCGYyNjufs6XllM0vGHQFcNFhWRMEQIlFMLHErQJ6gpCAnCyDidm3AUzXga2bpaaS/OIl4CXw+Ujg5fD/83mkz+FJaIQ1WVdowVt3alvfndjqTsN2zoZthw6lJW4bup0ROpY5zDAXJ2M2/3jCUo8ImDKeDukNYup4+rvEq7K57qrO+S7gqpz8kZeAl4CXgJfAfUoAIMO/MBhHb6/j9kPw9CbBOsL+DFBDRMtmC2qCGmaT1QF84fJWuEjY/p7Zxgbu6s+btrpahED8zA72SnDMNa1a6FitTvRLelaZWsrVIfSVoz8NzF/kQ6dzYb1CE0gRGKCVi2Cgic9cimAmuaG6jc/H8JlLo5lL28rKCFGqBwB2KUjDozaQRYM3wKRsBvPMJGTj8puLKhCKM9sUWNQiQHdXUOfSOUAXZMAfHbtr7lx3VHC1n1e6/vu799y892r+N6e97Yor++75yU+y62d4W973cy38vvQFvHldwxrcdN9N5/vr3f+OQll169Wf/vpjmQb3+tl5/7rr5fQpn/XA7oO+vfAH7bqyl1VpcabKtfOOlQmrvPvDkW1tJW2nPi3X68DEY4wZwlkA3hQAbmZyEt+6Kcs8wHhfkTBT3E+kLb94CXgJeAl4CXgJfFwSEKToBXWqnesFe+FGmK637hrMh8EedE2+ctLSsY+/nLjmOh345uqEKCGa5dGB2c7OBTxzrNsR+lCzve2oHe5G7HCrQyAU6AnaoibQveqLBdyuGxKpLPmySZvmTC+JoUkfO4j/28hIzsYIfjI1QzCU2Q5aObPZYBtBM9exqckLyw+2LZGCNDyifBqUpyiTemYdaw2jTr4ZoOO2K0v/wF8X9VxXAYC7xUncHSvdq+e6V7t7knmY5/Vg0NXDRdLswuEwj3DcEz6zq5/Lr1vK7Xth+Jvb01x3tQsFOzws8+L6enge/dXi3kO3jpJJ7xK+u1A77O7qva59d0943eXlynY+mErpnjvc3pSfUoaLS++Ow/p3j+6258Hc3eT0qaa6rhX7VJ/lE6u3Ggb94PVTdo2EGniaBPHWlZirJLxyDb+6/fWC7R8NQUOexL8ui6Yuzb+OjTNTODUJv80sEbRWRi06M3iprbvMls3ti2t+rkv1+ibmurv8OS8BLwEvAS+BT1kCavtd+68+4rZ+ov85X3dv7/XwXldSeBT2hSFgcFfcYFYD4gTgLcVwWKaW0BM0EmjaoBsoQxxeiVqpTOzJi7bt79fhmivb6vNze/GcwGObJTvaa1vxNGW1Rh5oNUhoEyJhBtQE0sopb/XHetY6q/jltNaQhGJfQjWAiWUKf3ZtM+mo5ceTNjkzgEZuyFYeQ03wKGELi0YAlA7+cmjmMgVLpy8CigJFtMSzj/z0LA7UhbLogiQu3XlxYEE3OPncfrNKu+1N3nbN5aw0IbiOvXwSXQOy8lfMf5Ki/ilV6PcXltsOruqs0morcKEBqO65CWg4zdLV666mbksGweK+F3d8davUjQ7fQL1mF5WqNeq800Tc8gNZy6SSfFkx/qluej+Sqfa1hovbqrZhSeEzX19qeDZ8zu794duXpOIBnJcU3Zd39RkvC72Xjav59TVVES6F9m9Opat++RQk4IHdB3tL+vmEs4xqQLo/asCdrDGO6tZ+dmaFp2UrHLUJwRwlWLJCK+uVRYLAyuP5tq0sYre/lLfkjCJhMuOYoOlQe3OHRTXo/UHrlu6PWle6R7rmFy8BLwEvAS+Bz1kCavN72323399TdGXQ7Sn67+32Ly6X8EyYV/fc1bxCkBX2c6pLaI6pSU8FQckSBAVA1soRAAW/uWLCjggotrvZwcwSMId2bm+3DF1B1Y6PqnZ6VLPzPcBeIU0AlCgQLcWAWmaVoiSQhk6rq4nKEPgSP1yB7QU0sIAzgqJkEy0bhoJgHCqhmbmczcxmAXAZm5wmuuVEyqamozYBcfjwcAtzSwKnJACEmFhGonXyEpTRkF7P3SvH8NiVzsU7Lv0dfAgwwptDQHJTRiqrtwa96e5Wj5AOvSFZQsXk9FvSZTpAh94UuSnuqIPLIchTuQFMvrxPox5pPfUmBG76Fwfq+s+/7bHqel4t27OdXft+dd329o5sdDhvv/jykS3PzdpwJktdokG9VYYAnmquRfFI26j4JN0IzyaJ63nDeuts76Kr10tZZ2XqW2NHIXISrJJBkm08yLU/r95832b/+nr05tSfQsd3+xZ6c/H7H5MEPLD7QG8jbDCI1NXWTGMDUtQaM3x0N0kaBSYM24cVO/3uwI6eX1h1K0LXEqdRzALsRH6aZOawZbNTEXv4IG/5FTR1QzQxmngM3qh+mv0/1+sf1P+Ar5eLP+sl4CXgJeAlcFcJqCe5rjfRubv1ReH9Eas32/jH1Qn1n8QPDT0KgUU0pG40olZBM1e4AHJBGH5+RgCU/Yhtb0QgDcdv7nnJNtDSHW5UAXIt+soYA/JBoJrYXgU3NOB2YE5bDcu1qo4CdRq+K2WbACgdy8RilhtM2eB0m0AnLQBd0lYeDNijx1koCkQknrA8k6vJVNHiiVP85aAoiBMAhSAoFtATaOiutaupo5D3sNwODq57S3etlPRu1U7LjqtVOypW7aJWtWq9hfYUEBQlMneEoDFov4agdRjPZy0XlyYsnLiuk2YPtvfNszMrNdCV8m4XR4ZsOpuzjF5Nz9IP6nTcnfx+uyeQVGotaC34ttYOT+3p83XLZwD6vOdYKmWJmSTvUDFMBdy63p8tnrlUr9p5qWL1VtMGcnkbSg0AyEJt3tXahA9yk/dflW9s9/zMtpBBARkMIoOlcWSQyQdguEcEb7nrBKmnff3v7vUp3rIa/rYPKgEP7N6p+K/+5K8WpY4mgSYuHswwVs6LNjk5aOPMICXOmDPcLtoa5Kjr2w07YR6pAqirBTONIkAFwQ1GaYhSNvDVuEVx0DaicNkdAqZcrcNtR7fV/bb7/DUvAS8BLwEvgZ+LBG7uKW4a3jrJ6E4NRLUq+mQC/7gImraGHR7XLB6DqHtswrIDmF4yoC4UoP3Za0FNAO3P6jEaOgKKQSJ+sGto5lJWgJ6gWErifT5CX6n8XN4CcRrCarArkCUQJ7MYkYZfHuP7FtCMc0s+HbGJ6ZTNrQzb4kpoXjkz04E4vGnj4w0bm6ihmStYLo/9DBYyzm8uzJ9sg0XluWGzQILbvx7+Xt50uVG9bwdnV9Pr6G3ueTWXV890TRFDUNex/ULBvlnftu/WNmxzZx9/xgLaU0AxADyXSdv06Ig9WJyzXz5+YEsTU4C7BCOWiFUAg988e2r//V//ZAdHZzYzNmz/+a9+Y0NfPLFUWuTuvRJz/mgO7mvbBXfhxLjT5urO0Dyy+y32y0/y4SvD7HIa7dwy4K6kb+rw2LZ4hqnxUZsdGYNDULPj7mtREB18Man3zsGB/YiWr1gqY3L7wL5afmDRZCb4ylz64Ebq4Ra3p3evfX0BlUrd/oQM/uaf/2gHJ2c2NzFq/+UvfmPDXz6xdCrzMl34PsN7ul9OVxYqw+Xf/VbCZ+weu1KV2i8/Jwl4YHfvb7v7c7s5azWWSRrEtO1ut+1f/vEUh+4DezQTtSezNC61lB08K9h3uxl7cZSF4iBDZ5WlK1KjE7EqpgC1YUI4T9Ncroi3bgisx4/6LkVfqdQb33Dlbn/gJeAl4CXgJeAl0B2Cqk/p7VfcsYanboiqc+EgNOCF68APx1qppDGhjNq3RIH+4fuadVpJzBtz+KtlrFFjgvO0QhCUAlq5mm1hcrm/U7KTvYYVizKxHKB/HAayicBVQE59pdPGqVz5zYlnTquoCRTFkh4VzdwAVjLZwZhlx+KBueXU1ABBT5K2/CBnDx6mIA4n2PQYGrwBPKMS2M7E0MxhmhmNhpEsRYoQwpDw+ZwHlntaCmRxcuiVglJcTeXkEtzS86c3Va90e5KwK5n2Ahp318139N7vUrtz4V0yR5TmE1CCKeIuGrdvVzfsH//0vf3xh+e2vXsE118BbkAihALsUgC78VGid5+cWrFNpFHuezAxYeNo7pR/h3PtVssa7bY1WQV6nMeh4A96WsoKZRWW34VwoTmrwF0IzZ1Wz9XTwRq9de0rvbubw2A/E03b5FDGnjxOWiydsv2NLT4NpgHQMPIAgfR0T1iXOAa5DXvGs/zztz/at3/6wept9Hd5NGzzDyyNtk0xylWWZKRFdXf1kIYxPBs+IcQW1kSrqdh4LbSXDWTRRDuNvpN/4Zfgnknfi74q5a48dV2jRtVQ+cuJJ5RSuOXUDUsonRsuBnm4ayrj9tQupd9+7BLwwO6DvKGoNSBJPTuN2Y/fl+zv/+7ANr5fs7WRhm0TJnk6NmGl1aS9OBizTX7W+3RURajIWxiJtPhX45fdHMPEZBGt3xygbojZrpRmHrX6xUvAS8BLwEvAS+BtJKDhnRY3xNOxOxdceM0fByzCYWc3n978wiyCISnRLJuttNWqQ0SxTNn331fsf/xt3f7p7wpWOI/Z4OAQ7gmYZtYrdo4J29lZ0SqnLSsXk1ZrEgiFehICg+GuPLWk9XH+cw7UqSzBkhoD4hKBTxRXmjUKNUGuaaMzEIXP521hOWuLSzmbh2dueioNwIvZEP5y+cGS5bLAxTQavTgwJVJhhZ4AGxoHL1SCk5F7Sp3RvpNc776uaQmH5C6Fk5STX5gmTNfdd8e95Vy9+nZH3Vp073fnVCMMTO2sVrPvNjbt7/7tG/u3757Z9sFRoIHSc0TiABBuKFcbtnV0aucAFnkqtgAyGQKUDI5Cx5SC/uHhsrUHc2jB0HoCppanOQ9AEgQrK7BJq2FVXpfMOmORmCVkhotmDTSIZhSfNMwfY3HBG957ux6AQ5zfOGKKIIoVUywamEjqawgBVgiKJG2NjqqdJgFUOmjHkrzrORsfGbREs2Vjg8Qp4JwgVvgvGpic7lZq9s8vtuy/oWFbf77JBEDOZtFQPipXMNuMW45CUqoP5qnlALBSLi8nST0SbKPtJvVX3QFlMYbbKUwvH68gg7wVqxVkkLGl6Ul8MjUhEX4TkrvMP8vUs8KzVQWGOZmQeTCZp7QimzhPrWfsfguvfjvK865LN5+73uHTfawS8MDuQ72ZdgKb6sHApjvSgbjg9Nh+3KnYxbNdm+SttAoxO9ocsWN+uqf8zHHfpsGRsy423iN5m3w8ZCO/5KctbV2GTgz7fr94CXgJeAl4CXgJ/DQJaGip9W0WNzzUVms4vO4OPzkHz1xwnm29lsRnLhYQhj/HR+7f/qVkf/iHhv34eyJAn2QYvCpSobQ4RL4EuJXYygsu1MppKwDnyujdl4Yu1HVI75GCJ25I/l+4OgxDFD48XsPcEj/1eXhgFzC3XGKgv2A2PVO24aEK1AQysSTwiYKfEAUzHHJrq342XEOfr9tl5aTBTfe4uAG8e+7erHXOXXfnVcc3r4nucE8nYFeoNW0dy6Lv8U3b2j1kgjlioytzmMuOWAaQ00Frd3GOJvXgxI6LJeusbtlwfsC+nJ2xh8NjAbVABaB0cnxmJ+WydXK8T4BSJztoDaKNbh0d2h/WN20P8B4FDI6h+cuhVasUAPOYf0aiMc6NQCsBszvA5gjt4dHxqVUAWnrqoTzAfGbKFsbGbBiQlg2gj2SAlRPA66RUtO2zc9vgnqNywao1TZUTc24gaY3KGEMoNGx5fN3QLhL1wDYvzux//fDM/ue//oFgK1t2fnJuWdJIUylt42QGUMazrywtWAVw+Hxz247Ozy2T5FuijsPZAbs4OmFsx0QCQG8WEDtM/Qr46h2dntlFsWjtbNYq1LudzauiwdLg+zoH9G2fntrG0ZEd4KZTbTRsAJPWceS1PDVhC1BcZfFBFYD1i5dAvwT0XfvlA0hAkzeDIyl7/Hjc9n9Vt9p+1Vb/Zc1Wf9ixPZqVKGYlZTqxko2yhvOSWTu0PDNYD1eS9qvfLtjyb5m1maQDS9D8qk/zi5eAl4CXgJeAl8AHlYAgAeaQcMoFKwHCjIlMa2NMhg9dkyAoWL+hpSP25Bk+W/Kbw2fux+8KmGEWbO9PdaufSIsDcTiaMcEUaMBZhxjyagivYYtWwQ7pYQTitBaDrUzw4gQwSbHGRU0AABkcitvMgyzmlWO29FDauZjNL2JiOdFGK4ghZ+4CU0vWNKaWScUtFChU3ir9TYDR9QAqNLYjqz6AFaZ2AK0fkCn9bYvSu3tvS6dreobrluvr203Z9bETeDk8AbgdnlgJuoDs7KQ9/t2v7Fe//NomBwetDRjZANz8EY3e6os18C/aMXzSWnV4+9r42PHSv/nhqf0///3vbYuIlIszY5b8P/6DLQ4N866S9pR7/9//72/t+/Udi0qzhZ/e6FDeTvGDO9k/QVMXQbO6aF/98kuLAPw2MAldX9204/3jIFLlzOyE/fpXX1vjF4/si5lpTCVFXiDdascO0bA9296xP3z/3H54tkr5xzwDAB6wOAzYX1lZsF998cB+9WCZYCYT1kY7+GJ72/72f/6j/fGbp1hXYW6KCIvFin3zb9/Z+rfPbBCw9mdfoH37L/97oIH8r3/zd/YC38NsNoNMvsSHcMR2X6zb0fZe4Hv46998ZU/I9zvq/V//+z8AgI9sAbCX+T//ky0MjdjAgCYtOnYKQF4D0P2zzF1/fGbrmwdWqVUCkDs/M2N//qsvrfXruC2Pj/Pc8QDcve4tdt+n3/s5SECto1/euwSYGWImMJsjYAoucr/7y7zFysvWOSraUxq841o5MC+p2XiwlRHBAHq7CUxAHhNm+XdfThCiN2XD07y+DE7gCTqggPj0+gd5k27p+hz8WS8BLwEvAS8BL4HrIcLV0BUAuQ6mZU38lpqYR7bxoYNrrlmIWvG4bod7ZcBcyQ72ira/DU/rftkO4Gw9PKjia84kJ1Ev05hUClhxBKAT39wgQ16ZWjodhXo1B+bQ5gDqYhH85oCCWbQ/eYDc2EzaxqAkmJjMmPzm5jCznJmDHmg2itbHbGSsTWAWfMPiTKRyT4Q1DIQSauQExsIB8+3D5uv6V53TctudzkgwBI9h+uv+Kg+X36vX+8FdLzi8/c7evG6r58t0aKlagDPxvzXRXAWYEvPHgVzWZidnbQAftanRURvl+AmgLNKo28rEuM0T+TLJhPQFb/G4ULaN/SPb3jlEOBE7KVTwNWNeGpFfoMnaIqjKBmMgSU6arRxRK8sXRStelMDyaOkI0nKEuSbIy4539+yQfMpck8nnIUCtSh3igMJhIm0OjfL9ET38iDr/cLRv/+ubH+2Pf/jWtrf2iKhaIFAPekg+1dTxgB3iJ3gqDRompAlAYw4tWgEQdwyILQJmm4BUfeMttqXTiyC6ZpkyZwCeF6Q7gUZhh0ibW/gcJqhnDRA8jDauyP0N6j+J9rF4UbZqtc4zozkEjO5Sd3kMnpZK1sQMVb52Z626PTs+tH9CK/i//hXzz9VtO0PD2KBe8QTUHuRRw+w1gjawA7B8NDKCebGMMnvf+8s39nLn5u/n9m/0ZQZ+55OSgAd2H+x1YacfObTcUMkeEj45WZy2k+8LdraGlm6zaWf4DdTp3GrQG4jkIMO803Ls3P7TFwn73S+SNjdDoyRQl1J0L3VE+mHf/OO+rvP5YI/uC/YS8BLwEvAS+OQkcP0AUbDAQQM0SC0GwHB7N4sEzyg1rVmuWRXNXOGwZXubFdtcZfC+yiB44xyAd46JWwV6Aw1spSfDr4p/Q/R5OhZlgSxXxNyqgS/srvxVLdTnySizYRkmNVPQC2QAafnRlo0yWTozH7eV5TQRDHNs85hYptHaRUlTxteL+5KQIEBNEIvJ3BJKAkw1RU0QRstU3irj+qflwjWLe35dcvvd+8MzLk8duTTXZHXNqdtT39zvh+V063FN1nc+FZUPG6aRCQKkRItlq5Rqtre1Y8+H8VNrNG0SMJWMduyL+Wn79eKs5TEdHMWHbAyzyGRUJBK8MfniAb7qiSj7cVa+FQBeCzPZBkClAShqcF3BRc6JINnEuSxKuihgsYw54g6RJM8ATXHSRvDTa5N3bIT7iHJ5DBD8cXPHJgBRf7ayZM3hUfzpDPPLU/s9mrN/QVu4trkHOK1bekgUC5SDYFsKCnMGWPthFSCZsRFcXZYWFy0+kLGh8THLjhxbAyDYRpMWpW6ZwazlMbfM86mPTY5bGg1dC7BZo05Nrisoyg4AtXBeIqZd1EbGR0g3BtAcJmBLkgAqONTwnHXWJiCyyfMrJIqmKfYBl9+i9fvH75/Zd/j21ZFBHPNQxAW47EAxUbLvuJ7OAVyhk5hlO4hm8rbldW9f12//vm7L3V/7GCXggd0HeSty/RW/DeYekJjmBts2hl341PR44LAd3SzxQ8cunHnLNqt863I0fIvLcfv1SsYePaEhHeeniMmIOrewAwob9+t+pP5H+0Fesi/US8BLwEvgM5KAdBb0JupqhH0EfBgUBzZqslOjnwrUL2XA3EnJznZrdrBVscMttHG7RLUE2J0dMmA/6rCiwTljQEsXJqYzhufcHSN3gbiQCghjSvRwSeh+GDBfau+aFK4AYvI9UO84rCiHkIRPPRzHXw6uufk2II4V7rkpfOimoCgYGz/H3PIMQEd/SyRM9ZlhKA3VWVo5B4zcNjzPxTstr/avTtOn23VV65vkiRxf1ond97qobLc4eYTHKUDIyMiwTUINcF6qBqaMOz+uWxWfufXff2uDgJZBAM8MWruHALuxpUX43jIBgAolwHsUiAMAtQVuKEqATouk00YDpqiRbYG2GByBk6MQh0+jWR2yMwDP06eYNRKYpc6+fO3mHi4SgXMk4NF7BvXC/s6BnQCmDvDzqwA0NTFQaVRtfe8QH7lN20RLpsBzs9w3vzQP0BqyBvUR9cL6j6tWQDO2ur1r8+vjlh8btUloEf7iP/4lGrK4ffP7b+z8GP85/AK//NVj+wKTzWmA3xJ0BVPUcRNTzw4grgVQjaJBS5JucnrKnizN4fOHzPA1XMa/LkXQFMy1AjkofRPBtBQghucXwDzAB/CH9S1b290nGEvHJmenbGllFvNOtIoHp/bi2SoBhIgMC6A+IO/a0jLKcfd9uXd39b1Jvn75eUnAA7t7f9/6ibpFPzi3XP3Rhal0LjRb6eAI24nmWTVTqY6hShdXDjo0bWN0YMnhrGWWvrSE4i/nME2IHXO/cur/Ibs6XFe+q8912/58rkvjz3kJeAl4CXwsEnDtan99fFt2VSLqC3r7g96r6i9cn9F73u1f3tskTRm5XuAzdcZA9pwAGFVM1DCPM1aULAGw66ClaxyXsTy5sNPNUwbc5wxKy3Z+is9cEbOxOsFL0MANYY3SCVZ46gBwxCoMB+PYp5S4XsBWJQa4E/AKTC3pE+P8k6FmgmujkEovraTs679I2Ze/iNnDR8aAHb+5cbrHHF55SaJgJi8smaigmYOzLnBX0ERoGFTFPd3Htb3pe/4ptbzpvb8uz7Aul6MUywHsltFQPcYfrUSEzF2AUoWAIjv4wO1ipika3Qymk1MTI7YDh12Vb6L1xGxxeBjtlugnwkWfSYcqdQBVvbC6G+ofsJ+ME8xmxv7dX/3a5manbRWgc4JJ5DHArs13ODw6aL/9zS/t8fKCnaDFKgHgDg7QrKGNqwPqmgRLUSGqw/7hkW1uw7eHv18M4JlEc5afn7VRJtKlXasmUpbC/LMIsNvFdPIFPnErTx7Zw4kV++1XQ3Z4WrQNfAaLALsBwOsXXzy2/+uv/70t5gdtiNCXFbR1yeha+BNCBgk0aDMET/mL335tf/XLr/CFm+BrxpAY+Z2hdYzo4Z0M+LK5JVjayFCcgFuUf3R0jqYyQhTRRfsPf/0bmxwesc2tbRtE43mEyecEWsIcADEOGOx6QV5m9BM3rj4um7f9etz9fvv+JeCB3TuT+U0/BzWTatp0PcWPGgoDwj0X4a47Kp7aAXgNKxaWJt3XRdCp0RxwZHaWGLGjzIItZMcIEQwgjMBk3rd0m4m+C3c6dHW7U2KfyEvAS8BL4ANKIBx4Xl+Bn3Nb5vqe/iHa9ZK6Cvh0r+5z9+r4Mj8CnhhBvhpPj+3s200rre1ZFO1BCpO8SJUBK6ZqHQbdHfyBmlW4yoqYRxbqNsWaL2NGSSeGpxCZJMlRgC2kKJDLASnp9/IQEYxA7xMD2AnctfEsrwTTm21CvStMRCYCCGyLfw4C8Zm8/frfpe2v/2PEvvgSQDdpNjzSsmwG8zX45qLRMhYxFQa+0tKpz5Wmzz0Xu+9l6ZWlK/C6c+6a6vmhlut+TwLVCq3fDLRxD4lwWQPUxdA2fZ/esD3A3TlmjFX53fHuG/jeVQnvXwK81AFn0kYlAHnpwTCc/9Unc9+pMyW8PEY8CUwapwBgv5ift4WZycCcdwCzS9wgMYfs2BjmiV+hFfyaiJRr+4c2CMgXsJTpZYvyRQ/Af2tBkyAfuDM0YWVMgnGOsxcvNoleyXeLWamCpFQAfBeApTpaNx7OdolkKRAoP75cIh0AWjEjxshLT5FNYmKaydpEOs/0AhVqlUKAJZDFYRIN39zkhP1qZdG+npq2qUwO+YVffq2JLyh5RKTpDhYnA9UVhkWihp7jk1cGrEpLN4VG8JcLC5CnD9mDoUFbGRoigEvJ8gDMlSksvAB43RzI4JpF111p11y+cuqu6a7c5A8+Ogl4YPdOXkn3pxZ6GPcXogZU5ibYWTcThHqu2bMXe/Zs64AGpxw0AUORLJGiNBsjx1qcyDt1W6dz/MMJNKxHbZsfwzwzd9fX5xrs3nr118n9pH/OA6J+mfhjLwEvgY9TAq5NU+362zXXln2cNX//tZJ8emXk9nvl5M5Jru68u48tg1wItcwwp6z/QKj2fyKow3cvLHFwbvnziiUrl64FlyXJqFL6uCxbXN5YlK/y01ZDW+kZxMsaB7qlAXS5YBWkOyOdwoUVOE9YDBQvLRuCpDyLr1I0nrMiZpwtwGNykMF5poLvXAofpihBUlqWTqOdixJMJQaww2tJ7g6hu4IGvVr1bO752PXLpQR6f09doYRfgEYqEcsCthYBW1Fbxj8xCS3EIOaNB3aAKeZpoWRFwFBf/caVAABAAElEQVSxiokmZpq7+MK1n63DAUgkUgjK53Oj3Uxv2gtei0rkC8EkcxjgNQsNwHQiY3lMNmWkG3xB/MkD8mYGsjYX5zvBrFPTBOGd7g2H71hgqdbE/42JBwUgaaHZq+3V7JiomNhMBmV1AFkRtGURfPdkGVqAiqEsbWMAvtBEkkkMsBiTvx+awDgTGDEmF/CmC0ZxCb6xmO7Xd8V/+f+NE1RlGXPOaeop8KfwJiotBuCNqryg5Kt/5DvaIO+qAtRQfpT6DSGD6cyAzUYyNjOcsEdEEFUZouBIAkoTwZvRd337cl15t9/hr37KErgrMviUn/E91733J+Q6M3cubGzCCtGptVOEe47Zn77Zsv/x97v23fNTK9WzNjy2ZFMjRJca4Kdei8C5cmEHxXNbO12zv/2GWauJY/v3OCw/gsJORJhhh+nyVkd23eLqcN01f85LwEvAS8BL4OOVgNpv14arrXft/XU1vu1aN32YSv2HgJaGAjFy1ZZJRygKmi2Il1lbTfoqzEiiaOuamy0rrCftbB1Nxzqpz6VrawDL0JIxgFUNlWO4uHq4eouIAM0Eq4OBMq6sAeAicMYpAmaZpKV2Du3dcDBsjjLSHiGi5aPfzNiTX88A5Abs2TMmQr/fJmriH+2HpwUbGstBJD6NHx0h4zMMwmOydEHj4oFc+Bru7a8AScTyRIxcwhwzJx+yZs1O0YSd4Ne2Q4j+NSgLXsBzdwQ9wQEmmhv4rMk/rgXweZNFX4xYnGTAKcp5GeoSl+Xloi9W+t4M53UtdqkB60nCWX4l+nNZtPIMV8AVmsQIwCg4wybSQSuJFlJ5xgGKXA5wn77lKDbGMfK4TB3ewr2hIakOe0vlV8Q3K7PVwWSaCK0Qpoc14W/oPdr9fZD5tYtKCssT2JP2UdQfAqACm5KlfqUNaUMDjsUgec8flfBm8u652e9+BhLwwO4eXuLVn3X4gwy7t6BZCH7QNCWU5AKd6GcXD0Dd2lrJ/vlfVu33f/oRZ1kiSz1cti8fZuzx3Bhhg9vWxtt3i+i/f1xt2Bo25Gsb31nqXzdsfHYZ5988s5QRfAjUEOiHrJqEjQI71yz9Nb0miT/lJeAl4CXwSUngfbVr/eXc1tbenwBdqfdXWjfHEMiFJpEdaAlaHdZG0qplwNtZ1I6POxBKN+38kLD0GxhHPoVX7ikmbWuEhC9l0Bho2IppHo8rrY56uW49tReWpb8apGpwK1CHxwEaOTznGASXM5QHl1gzO4x2bgTuM1z5IGdWZImJ6RF78ud5+6v/OGp/9jusWDJRW/ohRoj9hn337Z6dnr2wP/0pBfH4EwKPfUGo+owpPkVcdnkv+0R2Xy7d2r085XdukIADB2F4mQJ8dC/2d+0FwUhO2Y9Clj0CX9z87JzNksMkYfoTRK9UcI/TwzNMHCuB2WCdiJWXuOuGcnpP976f3v3eNP3716fTWQE00RckMZ+MMQkuTeMQPoCKUJnN8/0SpEUAT/rjGNqyLBVdxvdujmiYadJX0dYF3y75aKsInnVW5tv56mVMrEitfGmX1ztYWWlRBNEkGjeFBHK/geDCtX+UJvzdJBJJuBTxA4SyQSDuHNC8A5l6JxUJuPQ28LOTH14WX8FH+B5+gWnsMKafoT7w2sxvOBmWGV507/mGpFdO996nC29y75WM/ME7lIAHdvcuXOfK2rJavWWVch2bb7hRmL3JDBDKWTNF/NxbdFrnFx3bWKsxw3XKjNexjU+N2G9+MY7D8IQ9eTRpmSQ+AvjfHZyM2+i/EAnzH1btxdpz2949stWNqD14PMfsWR5gJwvw0Cn85scJG5ybr7sr/ofqJOG3XgJeAh+rBNRO9Q8yeuv6ebRj3VY7hEV6QsaQb7gol25O7mYNZ9FF0D+lrFFNYwKWw8UoaxUCnBxBM7a+brb6vGHrL8q2vX5EMJQNS+xu2lDh3Oa57zHhT8bQrbUxptQwVz3f1bpdLVMhS6StU8piJGEXEDIXCQjWwlcoTQTF9PQCA+JhO9iE5OBFyYYY2D78etT+3X+atN/9dcbmFgET9J/5IcKsEHI/Q3j9b/7E4Jdw9htrZ7bzsGITU0mIntGMaETvlzeQQP/vKaSV0BvVFSRvJ/DE/et3z+xv/unfoB24sBT+X1/8lgAmXz0mOuUoY5xU4BeWSAOWADWiBogS7MOZPL5aGfd96KtgKHoJil5Nd90Zd+9117rnYlAKDEILILPRI/juEoCm5eV56vzIZolmOQC9gYBdHLVYCk1YlmwnBjB/xHw0J0oCeOU0YYFtKJMO8tYkmivmpgf8BgaochM/whqmwqJNULJwkdTuVj93h9oygcEsppvD+NHJv66FuecugV/+sLpuO2fDaD+37Z/+/g/wPx5C3J6z//uvf2dTEJsPkT58Sy6317V9/e2mjsN79Ag317z/PpXXvVdHfvk4JOCB3b28h94PXj/ptl1AvLkFZ8of/vgjneS5PXy4bL/4+hEdz6hl05rfTBAAJU/44IwtzH0VTPmsPBi2v/zdlP3ilx2bmjylc8KcJIrT8lnO2oMLkFISR+z3NETRXcI4T2G/Pkh7E7j1kp9+mDeZYb7uh34vQvCZeAl4CXgJvEcJ/JzbNTeK7B2GXRldXr4HnVP/5Fb1T+zj69PuJIggmCBaZSIgCN8nMuDBzrGhlIE4vGN722x3cKvbaUFPQITmmnzmYjaNAdwQE4l4K9HjnJNfqDFwNVLBqpWDeeqVNO2ot1Wn7EY0ZWl4vdJPpm1scdo6rPHlWWuh/clEIHx+UbDSN2cWJVjYV7+ct9/+BVx0jy7wKVd/CM1BNgkPHZOlqUlMMJ8w0K3b7MwDTDEx1WQwHka/pDC/vKEEwt9T7xelDHQsI9tQW4U2lUAp+wQbqZ6e2TnBRra3dm0U8BTBZPGIcyciH+euPFrYUVxKspjPyl8sWMgs8DGjKG2Dr+KywCAFecjkUkFItIR38SVxLvCDC7a6Ht6k6wGI0j2qJeeDwCSX96fR1k1DzzA/N2VHBHkpo0WsYPl0BIBqE9FzAB82RanUQDgDwBsdwCeObzPCpEGMSXPpshOA05S49BIxtJBV+/7bpxZj0v4BE/FPpicxFZ4ItGt6HIyXg/pzW1D3EHCFddVVPa9MKoPr0BmEkyHhcVTl42KzCODcPjiyHSJ5rj3//9l7r+dIsiy98yAEQkcgoDVSl+iqnp7m0Egax4bcmQea0XbX9k/lE22NtrbGJfeB3DFyVFd3VaWG1gEVOhDY3+c3b4VHIIAEUqKq3DMd4X79ynNdnO8e9YpFF+IYY2O6T1iGlzh+aeNZU/HwqtTT0wFz8xTUG9R+kz+inu9bL7+jee/84x4N78PHbfOXX3sE7D7AHPsHQR8yrYI2McLd2zm2v/sf39t/+k//1TZ50f3+998GutupTBJRezpQFSmVU8Sk4yXCStBhpYB734zdXyHw5BifvyTi95jckOEdkxXK+4/mLFMgVs8S0XvO53C5myZOT4wVJ62W6i2mXT3RB/zNW42jt2/K77fblPNlot+IAhEFIgrcTQp4tsW/o3u9fJf33uVaevV9yCO1o1299yPw9Q+e+/Twr8qKxcT75AX2cheoS16ksJlLWqeNhKEZt0Yjbs1ajCDKXQBcFQZyH5fuB7bGvkPg8Mp23VrHMPNtsbYZXJkQmBlYNoan5lkg3RSgrsh5KlhMxGSA7w6+CINOuKVNb0uHQwhSpax5ziLkRY7g1gtlK3593/K//8oSXz8wW4AxLuetjWpckT4n5saJgTaHBKhsSytFXMfXkc5hNxfYzsFkIxmam0MJNDVrU1NF2wNHlEvTtnJvjG8nXgcDNcygK/z5VHPm27vrv7e57919qL8CIBk0gxZmp+z+vWVCDNQJc3Bom8SW28WmTsvLAl9dwEYLyVc+m7Zl8j5ensODZQ7eR7wRBihdgsMDvuI4hJPDEeeuX2VJw+tkQt5O3uRJ4KhE9m3uGrJlgT6uxQl27tKc3Z2AoNzwxHCOMkIZ1au8ai+DauMS/fjyAX0mVMIqDl32Xq3Z4av1AGwKao1cOLXJgvqMFPIcad5svmCT8j7OoMZSaSRkBdslbt0pUsvX3z2149VN25qZsPZvv7RvAX0XuHxVuyA82vaOVoY8q8E4RQfJytmhRZIxq69JJHbTSBa/JITDLpK6EwDo0daeHSOhU2gIkUa/E8T3u4+N44Ik3QDUn+8d/vPt+V1/yiNg90FmyOlhuxUZxPftJmos2/ZHvIadnBLrhxfHOh4vv/vjD7awOM3HaBzdbz6KqWNi7rDeyYpQqzmBSB1vTwVeDAkBOmluu3XOGDF4CsUzPnSsmLJaeXFRRFx/btkcWt7B0lZ43UYD0svbfWR1dvUWfskr103LXV1jdCWiQESBiAJ3gQJhtkrHPTbiLr/31EvX03D/L9PTX+2NqgcCxTIKzGVQs8QnH85IOu0sLtTxwHwYs+2tC9tca/FNIpjzBmYAGwdW2T3E22TFajCTzZNDmlPAAfmmRD0MtrkEGzpGrXJpMs63aQr1y2mkdQV+5XJFrKlULcUoS2lUX6Qmv1p2rMGMXpTSll6esNzDWUs9WrDUk2VLPFki8NyUWQnYmJFERAw5THEqZuOTGYsnY1YqNnBLX0VQRxy6oFaprGHbhM3RxBRaL6k8cc5gzAnSXCydcX7K9cDqiZajrZ8Ct7/vBdJ1h8kxTgkQ8XhhzlotYu0yT4kfXtoWZiG10zPixzkeRLZsY+UCweLn7M9+84X9/vHDwFW/nLyp9STGaAmFDQAAjQJugPrBPSPgGEe0OwogS8O6BACQc/kOVzmBt1FAUIprAm0pdjGvDixSF/UpGmJX3lIBTwnyq98pefIsjVvtwT3rwItlsKNbR8Ko8AcNzGQuKJdEEhcHfBZQ752bn0KDiqDonGeEVFHpXZwcs68IXVDHCczL9Z3AdrCK3eAhlysLR9as4zgo6BN9oO1R+pDkXP0OP52cBucaRxIvmwJ0o+w+Fp3A8VQ+b18vLliNcAwtHNK8eA4I5bnsICxQeIbyZMme0Jd/8c0T+4J8WejtaiWoO+P/uJvqH7yHPnabH3dEv9TaI2D3gWZWDzDPebBi1ayeE0xy11ZXt1EfGbPZmQWM0Cs8pOt8WCvY17G6k8TSIHZko3y0Jid5fV4gXmelMY77JfcB0wMjJRbVSiye+C52BQT/nFFL2CAkuB7TWqgHdcoX3vQAvstD967lwm1HxxEFIgpEFPh8FBh8G36+ntymZb3bw6ygP3bMtavJpw3W69PFIiO/IIxOo5bAecWInbKfHF0QJPwCtbkONnPnSOhqtvry1PZeHlnjSPFQm4HURe5QCoGq5TkR5arY0NUAcC32ZgDs5LpdgC/FNygX7IoTh40R/Za2ir5XOiJIATvsBdKV5HgWEDdh+T9bsdzvH1jiq0UzpHJWxN8hXiyNAOIWw+0mzH8C7ZUC6pSZvBjVKt85GHsWQQk1Td36HqolvpHYNaUAfolyHJs7qV8qthrXgrwCdj/PO4COf/bN30m+IwJ3sjPLoQa7Up4I/ARolqXG+Gpsww4qxyxMA5IokAH8zSLJenJ/xf7sa8AHMdgmCUsg+JFibiexqVyZnybOYCKQjk3gbEV+BxJSQ0Riu4Tjkjp1lQE4swDEJNIwmUsWsXtbxIxld2mW/HGbx7lJFvs2aXim+Z1jsfweYLKJmujS1CQgjbh2ALMU9+RkOks8uRlL/KZtJfL+gFRsA4lY7YzQUoCwFDaBk4TSeLK8YL/74pF9jcRsglX2FA1LYqiwBTWkeF0AaQqbvCOALLHDbRrwV0Z1Us5OyjiSWSIoeQc1yUmOp4slPJZrmaN/SyOVUyiEFVRDR1PQYHqGcecDaZ1yl+Kj9gD11diThxZHQFBKZ2xta8caTTzPQoPluRn77deP7XePHtp9VExzI1KD9tun4N3ehaf0/Yt+PxUFImD3gSndZCXm6OgMm4VDOyIm3ZdPHqBG+dD+9r/9d3SkWR0l5ou8RSVLvDRGOs6uOPBqqdfi4MdI5wJ6eo1ivhzjhRLE+fT53PXLqygfeFBRdREFIgpEFIgo8EkpIIbNwSTXrI7du16/YgMlz0Behrrl+bmYOn3Oia7VAtDh0XJns2Uba0e2/mrLVl8TeBkp3d423vX24naynbTqKR7++KeaUpQVoCvTxiTnk/yilMZvjb0KqDtDetckF4wdoErfo3ZQmoDUpCH4oB5J7KS9ArATw4naZW4JIPDlnCW+Xbb4b+ct/gQJ3XzRLM+HTP7ssSF3i5Me0sLkMxSp7mlzXzr9dedBYgDwxGDSXpBXqS6n+9U1f65r0fY+FJDtmqip+yQ2go1lYcz+DJ5manLS9r8+tVq9ZnUkT7IdywDExpF8zZTHbGGibGXs6whmEUD+HADot18+sVFA2zHBwMeIcfc1YCyLh0d5rHy0vGT//q//yv4C4JTBK+SXhFMYw4mIPEsuTk/bX//lv7InX38JYIvZfezgJsfK3CfELwSE/evf/87mlhatA/haBIgtAeSS1ClpssIlTNCPr+VBkjYfoMZ4gCppAxCmWALKVwR8TuGQZHG8bJOAzSwgNgC0AM7pQtFGHt63IkHCv/r6CzsDPEpqWEBaNk3+WVQ9x/hNY2JzcHwWBHL/inEVUd3UIkfvXqQvgOHfAnjTuG49Qq2zzPi+WpwPJG/qq5YzSoDe+wDX1LffYG+3YHsEJG8hscuQPomt3SLX5qFtDgdELrbfu97r71qOIUXbnaYAqsr/OZrdDzRF56hcVg6r9k//9Brbuv9iP/7w1P7yr/6VffvNb+w//sf/0zY21u3f/tt/af/mr/7CllcWcX4i+wWRX3t4JUQfaW3hNJcy/K/PP3j1beVvUi6c5231DbYfnUcUiCgQUeDTU2DYR60HDcLvNPVNkiC/9XL5lKt/w63cptxVNaqO/nqk5OjSnCTORe9CgU1qloQn6LTwZtlIIn2I42UZyRw2cyeHbQIwV7GVO7DN13u2u0oQ6Y1d7HVOrHnWoQVidmHLhrU3THciYLzztFLgSgFaFIBsBUBcGnu6lFXIWSFv1VJoiCSz2LghIculkJRBxlwbNbRKzRpnJ9a4aMD4j8Dg4rJ9Nm+ZlSkrfLFko9/es5GvF8xWsDUY55uH10qHEkSHMA117pYx9esoEcCJIN3RQXnCm8prF5387tPC+aLj4QvAt/umC3rIM2RgLAKQa8kJD/RXLaK6ZgutWOKruTtV8iTduXrinK2l2RlgqkO5JPqVWUCaYtFpbhv81qioxamkdBnAfZYrKq/QAnXKSSFX/7KUVYw7xbBTvXXKqCzVIhnkvmQP4tuRVwsNaqH9Ji8+gII2tDyhdtW3BNI99VtltHYeLGAEV5z0WW00KKd29LYQCJMaaZI+qgYtTzRoX3UqPU2l+aAuUcZtnnYaZ5XkDnUhdA4eB4FPtamFGpUgat0bGkNr8ml5P8lf2fyJtgJ0HtSp/72t114vbfCov4S7+rZydOKnTXS7agvnU57r8vprg2WuqjtKvxkF/g16EtH23hRwtyUKKeiM7+LN6Nmz54Q5aNgCqy2L2NRNThZs+d4cH+BT29netqc/vsIb5jjATq8tvSYGb+zrHjL/UIbz6Nin++GEr/s0n8dfe1s5nz9c3pf1adFvRIGIAhEF7jYFPAvhehl+74VB3eceQ/g7ED7WF0LsLawdgE72cu1WAVunPFI3F5pgdXUE1coWe9U2AXKH2D7V8VDYxlane3ICJ4uNdqBa2QS0dZHMXSCRQ8WNemVHl2EXoyjGXGy6KNThXx31xmM4yYt8ylJjWRufydvc8qTNLUziFj5tqQqeBp9hS/78mVWOO7iTx+5tftKKALrcb1YsjtrlyDItTQId87AbaWZCXIfsl2hpcHNSSdqDQ2+j/dLEduu8y3eIgOmXmETqiGFjrhAISXTj0OAEEGimtWsEl+sn8Ve8he97kUHnt980E7jAAWBw37x5sDyldao7VfDEHfs25CwkHqhGSsqmq7oe5x5zXIaAmqS1DlJpDhNck0xa+bQEnsD5TpYztaX0wGEKv3IfEkeSmOY+UG61r2sq7+4FV4fub1n6jdLvIDwBV11+l0ulcfFDDgf5uEyKnjxiBXMctMH95ccqcOfs2qR2DC0Yl65pZGpb13t8maODo50Lhu7yOlqJItpUu+jh+ootKX3NvrmnPT1dH9W2G1dQMPjjad1LGX6kfGHe7qblhtcWpd49CkTA7gPNiR466WBv4cXo+++f8uE9tydfPrKlpQVE+Hl7/GjJTvjQbm5s2ffp1/bVV1/h2Uvk/1AP1bvW867lPhDhomoiCkQUiCjwgSmg9/H1211576mnvrfDjh2rJ3XLVjuDzVyCQMV4Xd49sf3tJqqVcdtaH7GN1a5tYj+3vdqww20CEeAYQiUzsMQ5/o3Beo5zPsk+RWjwmcB2jlhxpItpFksqKUGdUjVS2hmAGPZQXdTabGwWt5NI+KZSNrZYtIkHZRtbwWYuhQXTzr6dk2U0eWLpk6TlcTQx/mDJsoC6xNfzZstl0CMWVhJNyFtlAOg0M2Jrr9oIWk5g5ucvVu1POCA7ImZaAO4COjlaBbHH0NnMEtx8nIXThcUZm8fxRamkoNNixaNtOAXe976XUxDR1wGg3r3rWtM957feHDiQp2uCbU4y5XI6iKcSyqOadRdqcwDHASenUqlrjmFVTlen45+wtaQ/Ak1uU1k/Tp/P1+GsPwWc/Pbmjnpzqvx+DK6sg4p6RtS+v+pAla9F7asv4b6HoZOrvEc7gTPfivIFdqP8OjdEOhctBCtVp29F6eEzT30/VtfKzf6+S5mb1Rzl+vwUiIDde8+Be3z1CDYafHD3DwmWuo1EbsoePnhgC3NLli+m7CHeobaIEfTdd88tvrpllaOatZHFK0ZKvyqQOjT4Sgg/hOHj23b+fcretq0of0SBiAIRBe46BcQ0eRbrtn3tMVy3Lenyq7yzk5PsQhI5rdVfdCWZSxKvKsGO6lsbT8uEKDg7xgEKYQjWXhzby2eEJ3h6hN3cmR3tdqy2T5id0zTqZoQLgP1LwzhKVa1ArVgiAepw2Y5ymPNsKUcoVaQfiirXtO4IzCN7C+mXLO4uCqh8zRSsuDhukyxIFh/ixXJhwuKzWOKNwyCPARhzMJXYVVkRSUwH26UYHjI7LGIuz1vu/rzF5sbwLkEPSrAY0h2jfrdpzJ5ug3R3am1iy0/xYPjf/9vf23/4D/9XsFgaVxwxJCLKoW+t7KySo3HLF7K2iDOOb3/3lf2z3xMs+/Fi4NBC0jvXjtpSO4Nt6fqvafPj97R/t7G70h4s3a6Ofq4mPCfu3nAgblidak+l/Rj879vKhevyecNpvk5/j4Sv9R/7cfenXncWHm247fBx70kYrMnTojdbvj5X3uX3aYOlP8Z5ryfX137TfKolfA/o/DZllT/arqJABOyuosyN093NWMdr0R5xXXZ3jlhZbVsOA9zZ2SUA3qQlUqySji/Y5BSBWONpvJS1bWenYpXKqZUnMIBFT7t/Cz+8/Vc+79ld7dfnpUrUekSBiAI/Nwp4puhDvNNU17B6tObeS++95XWkXdel5KUQNhk0PlxogvNWys6qcRb/4qj2X+AEpWm7W1U72DlBxbJiB1uHxJnbs5OtXdQtK3bRbggOAuISQDdZzmnHDo4df5Qco9IF0AMqctYKbJl2yL+P+too3gNzY0krTWQsX85aHnXLUbwRZqaJNQdgGiN4eG5p2uLTisUDWsqg3hbH6yReKNGVZAhI8rpTeAXkmCEl8IgYmyJvFpAqYyd5b9ZQf9oGmbmfLtAjbY4uzVaX7+kx8byOcKwRt/uYMpRKBMF+owoniNfF5qrVBtQi3fvjH55hbwhQBUB+880jzBwEaz0A8B3w50FDv6I/4XHr2NPDPwNhUvTu13DqbY/DLfrWvHTNte9zfPj21Ndem9f1XG0rZ5gmw/ozLO26enXt6jLX9e3qa8PqG5b2tn59iOuD98279sPfAx+iT1EdYQpEwC5MjXc6ZgWR+/PkpMoq6hqri7t8bDDoxY2uQhu8fs2HGzuFTqeFYTtSOr5/jWbTXhEgcwmPYZnssiVzPSWCd+rCRyv0rg/sR+tQVHFEgYgCEQVuTQHPQgxnnDxzd5tqB5mb8Hn4van08Lna8IwkCmMXWBm1k9ZsjFqjnrJadRR1y2QQdHt99YIQOV178axpm6/wqLy9Y02ATrdWCwAakeoAboQHoEYXW+4UNctOYD+XIUeSXa3jTzmQxOHmxNoAoyaGUU28AJ7LRm4Me58FwoI/mrIp9lns4fJTORstYrmUxTNgAND4aKWOJVwE1HFMSB7Do3Pwy7ctNlpAwqfvHHTEnTx+3oVZHagLyOKpT9qNNqSGOCKTpVIBidyXT+7Z//5//I3du78QNCHvi/rm1qoNe412zD/844/2w/fP7e/+7ntixJbRlEFLJgB2asy37Wfen9+oI1Gmd6DAIIV17ql/+Vm4aQODz1Cv3GB7vSs3OfK90+/71XST1n7+efRA92YzotndnNEI2L3XvLibnIVDwhic2j/+4al9x8rh2tqWHR6eEbtuH8mdc5DSxT3uPtK816ubBCQniOc//tFmZnEJvETMlZwUZvSw9OtPv1fXosIRBSIKRBSIKBBQIMyK9JNE73DPNA7mCl/rL3X9mSRxqsvtzr2D0rQDegBzBnAJ1C0bKWzmDIlcmxhz27a+hp02+84mErWdEXYkd+sXdnrUArLJo2USpUqCJ1PPOGcoSGI3FyfOXJf9jP0YhygKS6CvibwIdrGoQ7oVw/dgumwpXKVPzE1barZsyVlidc2mLb+QtrElt2ewo0tKzTKNjZ5AHJDQ7Z7pDf2KPGnO5QKQHrktdD1I8OdvLt/4B3CHuuWo3OdPlOzBg2X74vE9Soummi/G1uzgmIyRn8eh3S5geNdOT86sg9OV/k19eNd+9NcUnV1PgauorPTBp+v6mj7l1at6/Sn78HNoS895eIvoFqbGXTqOgN17zoZu7Q4xRvYPju3581fY2B0EwcNbzVO8Yz4NVEf8R0WqI/KfhPNM4gqt2YsXr+yf/4uv+Djl37z03pWReM9B/FQ8/KDe3dfwT92NDiIKRBT4VVHgw72hBA7CjMpV77t3eSerLtnOyXm6fkFK53izPE8hmYvjMRnnIKha1qpmp4cd29vEk+XLY3v9HGD3fMe21/fteLduHQKLuxDLGUDcKP9G3qhYKubcOY5P2oA4wg4A9nK0IzukKn/lfmIEd/BoWtpFhrh2WYI8F9OWnshZaZ74Xw/v2TRSsPwKpgGz+MPEZm4kiyP5dBPpWxPciZolEjk5kve2Pr2bTGPTrpkIz0Yvx4c4kkROm9xNXHSlFeNAsZsl0QV5HgukhESziUmCPBPTrFo9DdKkrum2wf759DeXfzU/H2bcjpqivLa316lZ8rl/HaQOv0/8YlF45OH78e30C5e82fHb2r+6ltv1LJz76jrffuVj0ODtrf4ackTA7j1nuXNxbmenTdvHHuBw/9jGxwv2N3/+L2x6ljCvfJ30OQo8geG++YKgra1m154/W7Ufn76wg/191DOJ/9PEtD2lD7Nu9OsZCf9IffxHQi19/Fbek/xR8YgCEQV+JRTw7z4/3Pd/Qw1jvnztnkm6Kk8/MPTe7Nw7U5/VFG9+XJh08uxjvPezVj2L8c4fQSpntva6ZeurJ7a7fmDH24d2gtOtOnvzcM/OGwfAtAag7RzAdgGAE3iTzdxoYDOX5lhe/dw/ec1TqPCmneH85AJ7tEQuY7lJvEVOFW18ftwWcWSSR0Uxg/fILGkZPFdmprHIw2Gl5QFxo0i4EvxiO3ch2zmgoSBV7+3vj0Rxv3P4sbc3TXUId4D5HKEPGLFs7N6oYjYaSDk39ti3LJGM28q9JZtFGjlK4Ojh2/vfMcPr/eWninIeyDsqDqel7hTBOb85cKczfw/p+HoeRzlus7k2b1PiY+T17wtf94cdo6/16t93b783W6723sz6Ov07sP+d53L7a1f3LLry6SkQAbv3pHmjhovprT3cTx8STydhjx6t2P/6v/2Nff2bh4E9gKueRwX1G8G8Gvn/8//9/9rxcQVAV7eNzS3sAsZtemYsiOHiX57v2a2oeESBiAIRBSIKvBMFBhma6yrxDCvisYB5ZSnvYhQ761GrE2NOjrL29+p2BKDb24sZGMRev+za6osGoQmO7XiDhb3TM0rKi+Uozk+yALo2dnIjqFieYTNXIzRBA4ndeeAERVZzAnQK1Fwjf4NSLWzlzktEFiukrVsE9BGaIDNLkIP7Y9jNTdr8/XErEzA8VaAkjrwChybxOkCuwa6xwZxhK4ebS2oVo+aZNc/ifXrW2bVIUOp6214+X7f/8v/8f/b06SrfVHr4RpwnG7t1zB5k+hAnhtnDR4s2OTOJt8yrgJ3GGm09Cvh57qUMO9JdMLj5O+Mm6f4JcXn9szVY8v3O+9t4v7ruRunBEQ2bhffv6e1rvdk98/49i2p4HwpEwO49qKfvS61+ak9fvLAtDNvnWS18iLvludkJK/Z55VIjeqElbDR1HgQr/+KLZTtCWvfs6Us8ZxasNFa0pI/2eU2fBh/3a7JGlyIKRBSIKPCLpsBVDOb7DXoY8yLdC73D9QYWGtL+RtWS4NmdLiqXHaJTYe/VbiaD0AS7mw3iyx3bD9+9trWX9cC7ZWUXm7eDhNWOnVqmosdlAlAnqZxCEhAnjjYUPHwcgCWnKGUAXh4Yp1hZUuVvAsIUpa4dE5gbR70yb4VlQg3cI9TAyowlFwBxUwns6Qh7MDFiWSIPjGRRrUxSKpDIaXyDLF34PHxM1kt5lSY6aFfewfwkvfP25gsXVH2BNkzN/m77j4C3NRyNKeLem40mzwm3UK83ANJ4zby/bA8Iy5CMJ0MLqj5z9PuxKRC+A6R+6WYxnOp7MOzZ8td+ab96X4TH65+Xuz9OzZybQ2kE+OO73++oh44CEbB7rzvhwk5YbX3x7AXOU/Yw8F6xb37zBE9e2FQED3T4oXYvuRhBWmcBft98+8T+4R/+YK9er9osgVW//vIJ9ucyQB80/H6vDt6ysHuUb1koyh5RIKJARIHPRgH3Zg1b83yo95ir2bE1YtKkdSFwgZolNnPdC6lZptHCSPIdIHD4odk+MeUO9qpW2Tq1g80j28NeboNA20dodVRxqNVpKlJcjDhy2LxRj6R0Ck8gGzl5uMzy/s8C9gj9TUocm7kYUjmVQMWS8AGpPCUKhMjBZk4LgtlpoOAsNmaAOgUGLwDs4pM47MqjEJdBfzEB8EE6FwukcbKb81K566bLj1t53oeWKuvLq85wvap7+OZzSqUvhqfN1Ch0yafwdImV4Rv7OS2qdvA8HUP1tNPuEkO2bvvYtx+zWKp0t/m2h7cTpd6WAsPp6efLz7XUL902PP9tW71Zfj2f4c3fA+G0z3E8DNzdpB+ehoN5e+MMh1JRrttQ+6raXWuuDZfH99+3e1foOkiX6DxMgQjYhalxy2Pd+BeEMTg7PcYhSodVwwV7LKP0vPcQ1l+hHkQ0RnCWMmZf/eaBrW0SHgFJ39lJjc/t5wR0/f2MziIKRBSIKHDXKCDG5TqGRNccc9M7ut0YBpmXHqsk2KgA4t2OAocTCLxZsEarwLt/FO/HZhtrZi+edlEXrNn6ix2A3ZY1jvguIHFK1s4o2QS8tZC81QF150jijpDEKVQBseS4ipyJFhJAuhg7YQnoeBMwdoYHlGYqa11ATWo8blOEJpi/N22LD6dthnA5JVQuR8cAe4QniAF+RjI1cCd2cmiGWKJNn9kDUKca3+UbM0hLf65f7Vdtol2Pfr3j4WUup0JxihdQMf125Z79u3/3l7a0PBekqUUBu0a9ZdvYJ/7pT6s4Kntlq6vrtrmxZM1vHpBj+DdYZaPtw1FA8yYAruUCLWZLVidZttK83O7DtXZVTf65ver6505X/z4EIOqN0z0v4XolWdM7xG9Xt3f5WfNl9Ovb0AyGc/r5dG36K732wnVEx5+bAhGwe48Z0Kc+X8gD0h7b/UbLHj1ZsQlcM48mdLv7W9834B40XcnlEja7MGHffvslTlNSAMIlSyYUUDXaIgpEFIgoEFHgKgp4RmLw7Xo5v3L43Lo6eO5LOEbG1efs16Qy7xgclZfNnEITpHDggYrlaQx7uXPbA1BsbR7b9oYRu3TEttZHguMdnKJU8HLZgpFD8T6wi5MUbpx6FJpgmj5NEYBAoQnGkcUB2QJWShCsxrVjIF4NuNdFfzI3Lqcn0xabyCKFS1t2JmWllYxN3ivY5HLBxudSli3CzqUBbYGN3JkfFEPXiBwc7Xm21DfIjbSXcdiRxu3y6W+Yisr9oZn2cI8cO0kKyE1h8VLExFtYnLJ/9hdf25PH9970xfWgRRDznb1TvsHlQFq3u7MdaNCcXwp3oF5H28eggOauBb2bLHB3QeKJGDaehKhIcq9Lvj3s/vkY/fj8dYaBlAdH/skRFRwg+rj9DPfh/Vpq4RSw2cJDLp7cYzGZECV5m2kMgut6T364tt6vp1HpYRSIgN0wqtwwbYSP58TUhP0vf/2v7ZwYBvkcdnIJ3fx6kMObe9DdY+4eiGIuZ7//82/syy+eWCadRQuTAK/vtKIabic6jigQUSCiwK+RAnq7Dr53h517Zks00rG3ndOncBR2Bbu5Ls5IzpM4QFHg8FiwNxSe4LhrezuEJlglHumLPVt7dmBbHFd2alatEGaghnomUK5AnXLfoVhzOdqY5By/x3i37HINKRSwT6qVsE1I5/BACSjr8q8Ro63Rrp2PpfBaCRBcLtvko/tWVsDt5UlizqXwZNmxeKFlySzhxlOoWSbrgSdLBTm4PH6S3nkL0+lyJQ5aDaZfX2Yw9+VzAVE/Cs2dmz9Xq76b2n06Me4AfVNovyzOz1qRBdbNzQ7S1DbaMxHTCaE+ySZKN8/bVjmtWr3TtgQO5ErZnBXZFW9DT1fPY+zbuxR+Yt9+Nzm+6u21RjneRoHec+eeshbP0fEZc1pv2kgijhZagXjLOUsxp3Gew4jyb6Po570eAbv3oj/6/7zIpsZl6u5vdf/x8RX79N65Vjv0eIwVCuzuulvb8q81/0rz575s9BtRIKJARIGIAsMpEGZPhudwgMS/X8V2CoJpHwXM5QEFRSRzWWLNJQhNELfNdTxYrhHOZqtq+5sVO9o5tKPdip3uHVh9b89a6GF2kbHlWJSTjZwcoGSR1eWoU7Zz2hV/Lh7sUri/sAOOdwl9czGCCiYOswpI48YIRVAgnunUZNGyaH3kpstWwPa6OD9t+ZkizlBYL8erpeHV8iIBEIxJtbId2M45sOPH9D7fDNWhXXW4enytJPy0DUv76eI7H/h+O3AXrsZf8X3y1yQ7SPL9zWTSlkyOWhxpUWCD93E66Jv91f36OyI8cEdiPT9dJHZdq9Tw8L3L84AN6dLcjD1YXLTiqNRhJd9x+fy0aD79cbjO3jy71KvyuauDfFW4pl/qsXhLN+6r5+TtYx9W1pdyc8CsXnStWq/b+s6BHVWrNjE7bV/cv2dlPWfMebTdbQpEwO6950ePgmwXwje7f0Vd9/JxD6m00/Wacy86lfNlOYy2iAIRBSIKRBS4BQWGsYwqrveqv6Zf7TCceFQ87xA1rqmg4TE7O4vb6XHMdneMOHMde/Zjy54/rdrW2pEdb+1bfeeImuo4N0FDg/J5YFsJ2dsE+xSSuGk75DwGvNPSnWvjjDw14F6DUk3U9Ju5vDXzSAbzE5YqJyy/WCQ0AWEJHrKvjNmYQhOMUT5NeRyHjCSJZK49wRikcskeC74b/rvjvxlqT5s/d2e3/6t6fF0qrfpuW+e7lFFb2nxb4T64K72/SDvPO3ZarVulUmEeO5g4AKrTqQDg9fJFRx+CAsNnQnZdGKTgwKaF3uzeyRkS7X1r47wmm81bfAqnN3HsPumA4J14JD+z79ent/FV71f75ysdpvJVlOrxmeHct+3z9WWduqWxaFLBPvj52rYddIipWSpZYhKYTrpcSPkeXl/XbXsW5f8QFIiA3XtTsfegXa7quheQcoeDwIZL61Hxj004PTqOKBBRIKJARIG3U0DvXllB610qdw761OkXL4qEJZCU7uI8gYRBseYu7HC/aZuAt41Xu7b++pwwBU3bXmvZ/k7cjneTxKTrouzoPFqmkMfB4gR2c5P8TlDXBIzrlFVQu2wipWvSivJfWGMEZUskcw3KdHJTlpmZscmlGcsvTVt2vmTZubQVZpOWn0vY2BQhD8bRAim2LT5KaIJAKqfvQHjvh1xcfHPdHb37X9HpKhbNX/PfJP/77q2FS2qWtPm/btZ0xrcVWzuFNWi1CPGA98sY5g/BFUkUzlrEBNyypz8+ZR4bNkMMu0kCsY8mfzlsjcbqxttbOvZpopnf/AyFz3UsCaaehCCoO7/iVnz5wTJc+umajsNbOK/K+022oQQOtFQJMxS8gTeR2r3a2bUR1GS17LA4OWlZbO6k5OxqV0nV9jG263ixj9He2+p0+gHKFfQMUoWp4OnYo4ZP6a9XqeEr/rhXrj//Tc4G59PXqR7ruKs5Rb05VSxZK8E7Ec2E+LOXmByd22PsfuOoZ7o3rPqmt+z79OYmPY7y3IYCv5w34G1Gfefz+sfsznc06mBEgYgC70WBwcWf65iTwby9hgffGO9u3D7YxnX96bXvjnwv3ucj/+7t91pFzTEAcvq8wVJepGFsCSLQyVirgXMS7OWOsYk7Pjq3k4OmVXartrtBwPC1fdtd3bc9fis7FTs7JIA3EC2HtG2MNWp5r0yx44cSlcsRpHWsYtNOhvNRZHQ1rm5xnUh2BMxGsIbEbSQHgMxmLF+UOmXJyktTNv142WYerVjp3pSlp5Ew5fApmKEt7OVi8Ro7apYjhCoIWGPR1O8c/rSFWbOfEt/xwNd11fz5dF99j9I+5d1+B+v1tZAuAIcDB9n4vHyxYf/1v/ytvXi+KiFrwEiKQ27gsExeMXdRF0tho76yPGOLC3M4epC9+s9h83T3fb38rIllruLEYu/01E6qNWvBWMsjqLYw9fyM6FdOZ+JIVXJIL/OArUxS93zVjk+q1sAOrh0q38+QuwvheoOGhvzx7Z0DHNvYhp60cRpUa9gxc3JyfGxbhJ3Yr7bs6/uLtjwxbuN4Cs8npMY3bBts0dc+LO9dSwv3/XK/dbXDzVprtey4VrUT7NaaTZZ8YrexPORNQNWqq8tvIKdnsSOOi3U5q/GoUf6SYtwcvhfhnt2UanKAo021NFg82eOeO253bO/w2PYOjqzKvNYJ67VCmJVxgF8WAOg8+t60hSjfp6BABOw+KpX1on53RuWjdi2qPKJARIHPTIHBd8N13bk677t8wIe3NKwNpV1mOC+Xv74XuuoZjstlr0sZ3r7qCrfYq1tH8tqWtPOLJGAO+NWS3VwhiDd3dDSCW3yz5z+2bfXFqe283rGD7X2rHpzY+cmpjZwe2ki9AgN6ZjOoXBZgo8qclagvy+7gnZQsqT/YY8A4ACJ7c4RQBTGUNLGby04lbWquaNNzY3b/4axNzo8HtnKZibxlxrHEKxOXrlAF+EnFElYtjlfBmAKIC9DJEYporhH6ncO+zY++N/Kr8/YVHHIyrA1f77BrQ6r4oEnyxIdX0SS0bZ/bP/3jM1tb33rjYMw1FAe9JEdHceqQtdkZ4sB+/dj+7Hdf2Qohh1JpD+w0Bu2fYwxvI4jvWzjf5Xtdd0EFUPaHp8/tKTQ4I8SDpCYak7sDnNqcmy33nOruzxHvcHpywh6vLNp4uWgblH3+4rUdHJ9ZA1AgW08XmEDt92jUq1Xp2tSnEP3eZHXtafmIHYDRxHviGTZZB0cndnRwiHS1Y2vbe7a1t2P//MvH9s3KEtIf3AolpJrpeh5UH/rje+GTXBv+LPyrcapf4c2NPZzy+Y57/RM9m6gM756e2DPCcbx8tW6HxD7uQK+ACjgj6d8uj0P5ugz3AoK0+W0DzjvcA6NJ4mCOpm0EZ0EXiulIxhj1uopVf9BCUP0wWvqr4WtqI7gf1A4zdYLN5A5zenh4ZG3md4f7aGdzx/7ZN0/sm0f3bLY8hsMc/7wFTUV/7gAFImD30Sfh8oP60ZuMGogoEFHgF0yB8Kd4cJj+cz2Y/jHPP3WbjqlzSmZ+XEoTXbSCnQrULc+qChrexhX+GYHDkXrsJW1vy2ztldnqq7Ztv4YJxSlK/UxAKobkDScmyODGYGnGYVmnAFjTqF/OANvKnMNCBW2I4VHg8GNKnAL90EGzkVLW0mPkGhvFcyUqlYQimFop2Mz9oi09Kdv0QsayY/R4VCCOPXbieNMRvg+AGHFjsptzzJgPIv42uur62/KQ5dbbx6r3+o74+RQNspmUPXy4aL/7/Re2sbFnwjIuODlABtFEAlWwTBYaT5fs0cMV+803j4L84+Moybrb4/rGfiZXNRNtpDBVQgqcyFMhKqfywO25CsGzn4ZLZklsBHrPoU+u07E6nHqT9DYMf5XwEMettlVJ1x2mGIcxx8kHt1FXyCC4n9z75ad636Tqqhp7c7sGT4OyS7NZ/Wkj4bkA5FUBjmdI7xAVWgUJXos8ut5Fsuc2/foRvEl683Pdm60/5/Dy/Xk+9Zko5Efg+0eoFFK117FTO0Jyd4QUug3dlft8hLcJRXQcbBwEVHqTIECnq5gCo9LNznmHOQ6eEea5nWSuG6grU68A3gjzHPdlfYVv+hRML2lBzyTeCzbX36AZzpVKdJdgk5SwIQA6ig0yc3uG51PVfdxoBPdUh/a7OIFyY/b1ubLR389LgQjYfV76R61HFIgo8KujgPuY/tqGLSbUjdwzAfq9CS0826FfMUTyYqlPl9QsUXXsSjKXsC7L2c02Qb6bCk2A98m9qq2+rNjLH1dt9fkxNnRndrjbtjO8XbYOAX/UI9lbiZ1AAoHdXBkFS/k4lpRujN8x2KAckjtqJj9KVQT71lGVlfZaLGPt0QsbBcSVsZubQEVpjNAEpRU8Ws7iYGDqwtKljuXHmpbI1gGAMLswck6Zip+AxfK00PnNqOFy/jL/emoUijn7l//q93b//opVa1hySQdNoJ1NjLDuggQILp1JWLGYsbGxvBUKGSR9yudrUW4dh8+Vdpc2f/8P76OuZlHlXVxcsItMxk4aTSTRPXVMN5I3dVCFB3YZ4uNOAXIVV7eQyRpiTSRrhNBAWnSGNE3MvZ5HR5o35YOfgO3n6pu0oAH33Ep50G2unM/RkTomYO6kXrOdXRwMwfinkZouIy384skD1GNnbQzHG0nioakmX+5NZT+bHz9D1/dfuXo5dCTPrcVCkTmcBwTHsOmtBdIwqT3+JCHzVAga8S35qqA8FZ1z+7dVYYpQH8Q9zhN+IBnHfhcHQg3UbEcA7B68Xb7vKRiqNjhRXcH204FPcO2RX/fb5uGhNQCjaaZ/eXbKvvjykS0vz9v42Dhd0TOp8n2V/1RPdPB5KDBycfGfoxn5PLSPWo0oEFHgV0kB/yH1v2EieOYpnKZjD24G04d/Ut/Nxu6qNnyfBq/79Mt9GkwJf2T6Rz14ZbAN1aQS2mU7J1CHumMXFcsOipIdbNvqSTs5jNvu3gWBw5uoVp7a4TYgbrtCmIJdO9rYseOdPWLNHVqn3ghqSAMKs4FlHDHjkMWlqVOqlgrCK0cPicAByhnt4XHRjmj+DNVAotSVUcksYVNXwrEAKm6jBBHPTU9aYXHWystz7DOWmy9aukh45jRAbpQ4czFWugGHIyPssHRuxjTu8Ng5jTYoovm/au/dOZJYOJmH7kGnmojsglSfLmLeZRr7e9qPyd8L/c+U/J/Wux07aFQD6VdD0jap3gVjc2VdTfwNqkBiw+EoDktyAMEiu5jvNhKdE6R9Zw1AAOXPkfoEz1RQxtUTPGIim6uIH0AYCxjOc3dwgWPXTy/wueC6lIdP2w17/nqDhZRXAI2GlUoFe3R/2b68t2gPcKAyDhCRwp5m1rXWP05X+93+60bu+z+srz6Hv6a3MOrZjLjJ0UmjZpWzM+zttEAkaZ3yvaG9LxL8DtbjZkTALpCmARRH0wlLJ3NIZ2PWqjatiZrkBfdJP7Drq7Tv5Kd5DLWvVgOwz69mp4GE8cXmpv349LWdIK0bY4Hh8b0F7CaX7d70tJVTWd6aUkoPFHL76u+dDI5l2Hh7uaOjD0GBf8MSSrRFFIgoEFEgosBnoMBtmJur8364T+XVbQwHlmLTrivjSDr4add5r8+9I5c7XJ/qV279isF0oQnkybLWGLUmAcFPTlKGwzY8WZo9e9q11z8SmmB1zypbO1bdPwGPVWE8qoC3FsCta0WY/3F8VDr1yvgbMJegBbk8QeUIViUIS0CpOivqjUTGGsRa7hJwWXZx0wslm7w/Ycv3p22OEAXjgLgkIC6epY4sziHSOD9JE9SXQOMXMZwkYDM3EkjpBOh8EHGNyVHFM1IOpJD8K98cHUQbB9bc/eWp4+6V/jsmzFTqWFuPvsHpz/iPFPkEzKayxLzNytMqG4+Iu3vcwHoyMJcagCfu3QS7YsgFcs5RHKngRKWNlMdTNvwUXiZRmMo6djTtb5euICE9Q4K4iR3WGkAgiffSpfkZ+xa7untICcu0lwWIiNF0SomupnDtl9u+mylv77OnU6//gnZ6u2iOEumMFbCJu0CtUdK68JsuXKJ33DsKqM/Eevq7N6IkoDwpQegUvaT828Tn6pW/7iicO1gWofI2us+HgLk9brgEMQqXpsbsd998ZQ9n52w6n7M8c+r0Jnyb17UQXfvUFIiA3aemeNReRIGIAhEFIgr0UcAxF2JBtTu2JZDQBUvUSOrOcVbSSli1eoEXxCZx5fZtc+OA365trJ1j0N+1/e2YHW6dW223xgo59kPICDLUl4X9UUiCSc4nkL6hlIb9nOzmToBxYpa65O5yhVh25GmMFFCxHLfRmWkrwsgk58p4r8wSkiBpY/MZKy+kbHoxaeMzSSuMnROaANCG8xPWuKkrYI04dmyzY988C6ffMBulPP3nQcFf5R/PNosegh7aRC+X7q8GyaT1083TsD+Xy3vX//q+X91PyamlMpwGIgSSlkDd1FNG5fy4e3X5FFfrm/sP6VoGQOGkNcqh52zY1l/a199TxfQpIyyXEIpCdn8soGSobnFqguDk8/bF3CwAoGBJ2lR4cj0HqrXXw2Ht/vLSNGaNXZQWwEtzoNm8ehukvcsZpp17x4RrcMBRjTj63o7KvdyubT19Z3g5NTyxps/btlAu8b6btyfzCzaXJ+YmcyrXUWpteG/DfYuOPwcFImD3OagetRlRIKJARIE7QwGxHX7zIMSff8xfsXy+bSn0pFAnyrKnWXwmmHcT+5GaAoejyEisufpxx472zmz91bGtPd+xjRf7eGk7tL2NY2seiu1UWPBR7OIUfgBVJf4V+C3SSom68/zNB0xWFwiGMxXYUrGmcq2vvZboWjNDjwpdGwO0lVdKNvv4nk1/cc/KhCbIzuLaO49iVbaJVK6OV0Y8WhKe4CKGhA5ZimOYRS/PKvmxfUqafsz5+tR1i46eluG2PTt51bXrrofrufvHGolG6YCsG6+X9fhRulGEz/x9pyvhe88du5yqS8x5uJzyawuX13Xl1d0drkslJQ8kHRAQxxZrulCwxbExwN2kjWVQvcRLrK5rG2xFqYNpQcaBP670zfL23ys3qX2gsXc+9b28vgI/bz7X23sYnocwDTQPuubb1a/br66zvy5/X6hUuIzex4KdmtNzJHWlNLZ8D5ZtCs+zE6j1ZgB1WDP3lSE7m+rvvz+C5CE5XXr092NSIAJ2H5O6Ud0RBSIKRBS40xQY/OBf1VnPTISvD/uQu+ue5dCZYxzC7fhyuqJ0sQpp7OVQlGyX3rbDRgAAQABJREFUcOedJUZZ0g52R2x9FS+Wq23bWSNe2equHRCzrLp3YA0M+ltHB9Y9PmL1+Azw1gK24Y2SsxwgTrHlFJoAFya0MArbo5Dh2CvRmzP2DYKGt9ljKZynTCGFm8Eb5mTRFmYnbGx2HOcnZcvNjCGxI6j4NJK/8Y4liDdnSRx5JJqAOZyhAA5HcKbiJUz9UiSSBxidQSZKOaLNUyB8xwxL62c/fY7+X9Xh6rn7tPbjDY/LPxf9owqf+dz+N3zNHYefM5dymRbuTr18v16uzdNz8Ipr30mi8imcuyCpm8LedJQAjoVs1jK4wPc96QEaSZZkH3izLZzv8hjeVsftS7ytxsvXRYVwLy/n8Cnh3lw9dz63/73unTt47bp++Jnw9epXaZelqL5vmdGMzWA7XBrD4y+x6rKAuhx2m1KI93ncmz3crqsz3Ep0/HkoEAG7z0P3qNWIAhEFIgp8Zgpc/cEf3rG3M56D5RwToHZ8W2IEtCYsthKPlkCvThuJXB3AdYw65BEBww/N9glNsLlu9vL5OdK5BsCuYpWNitUrp9SkwOAKEI5qJKANpUnCErRtFkXKKQAeLgW4IhZE0CtBWII0ex5Lu5y1E0lr5UvWKZasWyAW1DiOCObzVryPdO5e2ZYf8ruIXVAZdT9A3whSvJHEMdiTPZDsAeTwUCAJnQN0co2g7fa0CYpFf37FFNAdGmaMryaF7rGb5eyvw7HhV5Xssej9pcL3sn9uh0lp3JNcwH4vS0xB5VCNYiqdcmC4Ht9CD9ypV1f1YFiPr8vva/88v34Uw3r9vj0aRkNf53XXfB4/fzr3/dRxr68+1aVoFlEZHSVm52j5jVK07iKp1OrK4H3QX1o1R9vnp0AE7D7/HEQ9iCgQUeBXRYHeR/WXOWwxE/rgSxFLIE6fGWdq3+X8nMBXXfbzrkITIEU7w1B/u0F8uYq9er5mr1+cEZqgZnvYzZ0e4CjlkHwAv3PAFA7tsZlLI50bwWYuHoA6AbsJWpoE1BXJg9sTzrD94bhFN6ojo0G8uVZqwkZnZ21iBffr91as/GDGiouoGk0nLDMJUCx3rFRuWargVC0deLs8V56VYVBsuj7IYHlmqj+9v1xQOPrTRwFPocs078s25MSX8DX4315Wn+Jz9q7c5aPb9Nbl1T3nnz+laNz9srlene7+9JQZTof+e9iV9QqWPXggtt9Zjrkc+ttTs3Y1u57o2IE7l/pz/qtReur5Yzf+wVH5XIPp1533anLvk965K+XqHARal2t05fw9oFLeSs+/p8JlHDj34/JLcD6H78O7jMfXEf1+fApEwO7j0zhqIaJARIGIAm8oMPgx7WecHFPmiRW+5j+puva+n9XBPvj2Lv/erFWfS/3yyjpqQxK5DF7gCoQnyCKZc3ZzR0cE9943goc37XSvZkc4O9lDGre/tmt7a1tBiIKTvWNrEzgcf5MBeEsB5lL8S1OfVC1zAcAjhhzXldoE7u0A6LalHgnQihHjLJ5DHSxPhLp81iZxvz46MWnF+WmberBgMwS/nng4a6U53KtkYXRSgME4YQkSOJiPSxon2nv6+1+SAqZZv5e3MBV0tZ+x1aq3z3G5bJQyjALve5+rTk9z/X6I+ob189OkqfduFDcdh7/jxMhr0+KIr0N3suCYgIGnUZDpLX+cb0uV0iKNSurpcJJBtdC766X8rOvalS7IoNJ6M9x0BGS9xfZxar2+A75NT0N/rlJu5NeXH37V1eYAtI49jV26XOk46suKsfeeulyX8vs3D26egmPl0h3h32quTg/oLteh3O6LIQ+fum9cCeW83b0zrO4o7WNQIAJ2H4OqUZ0RBSIKRBS4RAH3eexPDn+YB6+Hr/WXevezwTYGa/Kfe8eWhK/qcx5mW3rXBlPFQCCRuxhFIpfBCUqBHVXIs4QdAujW11CxfNGxtR/PbPvVBp4sd7GZO7KR04rFzyrAwRMkb1WUJ2U3p/AEMY6dzZys5mJAOZQocYBC/eRuoIZ5iqOG+kjaWglYlmIWVUq8Vs6O2TzBwhfuzdrs8riVZgvEniOuV4nAviXUNQvHlkidEPQLxyc/hSYg9hz1ebs5N8br5sHRq8fqiG5KexudVbPopl2lwzVw+gvf/Gj77xyfevvB99dzVXnVf7OcV9XwqdMHezt4frk/vftOo3X7hbVwsd/ChX2LkARdYp9lEjxPPDPOFf/5raiiaIEN6mt029RLlLs3MfEu+FX/kvwdxXNnUgH1OO7Qrp6HFOfO8s4BhevGomuDd8N1+cn+Sbde33R0GRS560p31937oPduvUlnVVIUVTj5tuaPuWudQ0tCDeQIXSFaaunsbXRhxoM3WpOwFC1CIijcgmZEuzbX+/5aXP91jTc5lyRjTXJrpXCekqaMoKV650eneq4DmO569PdTUSACdp+K0lE7EQUiCkQUuLMUuA3TIeZRu2cG3EpwsB5PeAKxb7KbO8OT5eFBy3a3Dm17vWLbWyO2tXGBJ0uzHcISHK6f2On2ibUaxL8CrAHHsJnroFIptUq3y2ZuAkVK2dSJiREj0eD4kDaapDaBgOepkiUmy1acmLfYBMBtEg+Yc2kbx1ZuZjkPuEvb7IILTRBTfIM4wC2ILQdrE0T09VILx0Y5ZkV/hwG029CJKqLtWgr0M4bXZn3Hi/4eVUu/7M2x2v1j1B1dP+/awdmxrW/v2ObuHsGtM/bo4X08WOLplcc4/CT3l3ZnPco5aV3jvGNb1Ld1cGQHJ3ikbRI0nUq6gIb4+YWlkgkrF/I2hYdMIrZhN3tso8m4Lc7N2WS2GLQ3rJ3BND9zg+mf51xyKkcJ/dUueWQXkBSAHECy+tvrsyivXL0UTm6xaVYc+KoBoLdxFrWxuW07+xUbR/Pgq8ePiG2YD9rub/dyEwLiR9Uz22Gu9piLs7qU1BVnkx4GsQ7pJcHoFQfPd1k916ZexBOAOWwox3IZmyTcwWQxH8QmlB2zG6NyRu9FUeGubBGwuyszEfUjokBEgV8gBfwnUp/fy0DBXx028H6WoP9M+cNlL18dVuNVaTf5KOsTL+ZGLcnL5Ci/CrZLRCNizLXaCQAaQb4bMXZCB5x0bH8HW7mXh/b6acXWnu3Z2utDq+zUrXGSsPOqyiffSOKwcaO+EufAM34TeLccZVfwggtWmzt4ssQTpdgRvFA2RmAWY22rxlmLLlLHfNnGlvHK9+iBTX6xZOP3xrGZw4NbCdWhXMsy+TNLp87otqRxTXZtnnq9sXsa+l+X7/KchUv353Ulbv5XffD9uHmpX0JO0c2PXL/X01FXfQlf6rZUuL6F29b2qfP7Ud90FMqvO1fRFSvNpv1pbdP+59/9wX58+tyK42WLZbI2nh+HYRcL6ECEZ87dMy6KOygj5UmlKWZdDTf4W0fYwq5t2Gvq3N0/tEazZTGkgF2kSd0u/m1TgIDymM1MsixzTv6NbSsBBtIpFm5SOTxnqk0vL+LwpztBx70R+jH3p+rsw27D2lGalysKwCnOZaPTsUabCJmAV431HAkYhsLBSCT1GkGKlgQAyZFMBtCU4v0VZrB7I/P01jh675/BUcktk95Y28QI/Ptnr4L5W13dAJQ/sLEpNBDSuI+iKgcp3Sh6bag2tYP6bZv35+kZ87BlL9e3bQOQWKk1AfyaA5TlAd15vJhmAORx5hGsF6Srxk5QLa5TuJbH26mCz68sztkCIS1KBFtXgJnrpYauX6rRbf099KnR74elQPi++7A1R7VFFIgoEFEgosAbCugDp49aDyi4T97VH3ZfYhgJBz+Xw/K8S9rwep0JvXOCIulcFjBXZIFX4QnSBA2P28F+3Ha3u7a1XrMK0rn9zQM72j6w4509qyIlqO3tW4MV/iSeKwt0LBuAOknpMjAHsp8j7hVMglghx6jIm2USyRxhCdg7gLkETGi2DIMxUbAioQlmJohLN0N4grlxbOdmbGxxgl8CiU9RC7HoOkls5ZDOjQACR5DQyS6lfxs877/aO7ucb5A90Xk/7VQmzMD1aouOHAUGaXg1XUTZfupenfeXeWWQVqLGZYlQmMV3CsUnLIasVU/t71+t2d/++Mw2sGGdRzKzXzuzarcVLJ7IrVF460lhXKoDdTE77LTs+fqG/fjsBRL3Xd4BqEmPFa2Qz1kaV/iaoybqgk3ATpW4dn989YqQJftWPTmz+w+WrN4iNhrPhOpz/Vf9g/PaG5lr3f3t5de5nqveM9l/zeW/6d/B1nvlXD/VSpO2jhp1e729a2s723ZSxR63wxWpRyL9qtbr1gTQZqDDJO+h+wCf5clxm0zKHthZwfXTNPxuGHxHuHGpXwLlRxcde3l8bP/j6Qv7hx9eoMpeIfRK2Q6gb5W5VTCXRPBdcVQQFHf3Sq/eeBCCImOz4+OBSmel3bY/beza+v5BoLAwT/qXS7O8T8tWQtKaELijniZjPGVRYP/41NZ5j58cv7Q//PjC7t1btN//2Tf21f0lmybURc9xTo960dHnpUAE7D4v/aPWIwpEFPjVUcB9vC8P+6r0/pzDmBH3We/PN/zsZm30GEkd6TMvcIekDW+WtXoMZo3wBGd8+E8VmgC7ufVzPFp2bOPZqe283rejjT1rHlQs1joCup3CQLZRrzQkcjFCEjTYqwHAk6ROThxkll8H3J0A9WrBju0cNnON0XFrFgGRuY5lJ5KWni9abmXclh5O2tKDEoxUzjJlHKTkWG1OoRqUqNjIqMIToCKFdE+2c5IOyFLFebnk9BIzqbT333o083XdjNY+d/QbUeAmFHDPv5OmXb7n9LRKxhTnjj+3XaQ932/s2D+9WrcX67s8s3UrIsE5BJAcd5vYr8odkWoZ9lZRb5DAc63K342jI/ufSPy+/+5HVC47dn95wb756rHdW1ywPLHOBCXqAJzdatW+e/naniEhWqXtOCIgPYHdmNjNYT1WO2/fhr3jrur122sbPmLfhn61t/h7WK/Zi61tgNUzewawbba6lkojnUPy2Abw7bNgVTmp2jkAagLnTL85emh/gfZAbHbGEsR/k1Tr8qj1buiBr3B/fdt1qLZ+XLHvVtfsDy/X7eUWL1pA8wmAukK7UtEsxgTLnZWcvyN64M7VmozFUY0tWZZg4wXiDe4hhmsylr1jtBjY5qYnbHFp3v780T2bAzSmAOkXzCOKF7Z9emI/rG/ZZgWtC9qvEbR87eDQLlDLzJVRyZxKos6rJbnrN43Jb5dp4a9Evx+KAhGw+1CUjOqJKBBRIKLAB6aAPogf90PomQutUOtYnwTn/ES/XWzmLs6VhsplEzB3go3cFqEJXu7Y6qu6bb5G1Qp7uf3tEavsxexst2OdipS2JGeTSmUhAHNiIKdYX55CDse6MWl1GEpUuIBxlODMAHWEGh/JBuHG22mCGCCNKy7ct9zSpBUAdAXs5vJzqHnNYcMzY9iadCxfatloCtCGVA7FIfYemBLdHO08q0RCwK7pN9oiCvycKTD8reAYaD3LF3baatuLjQ37hz9+j+rkOnZWdVQIu3aGM5NKtWbHpzVrpXMsfuj59s+N6g2z4VoW6drO2QlSnnX77gVSuMOKPb63ZA8fP7DFhSWbKhQti1MNlZSUKY7K3iESpQkkQZUxHCIhAcoXC5ZM4VbF6fmRK9yOH0uvXdnr9vw2kr1v8331z3ffxdCJf7f18ocuvuVQi1kxpI8te4Vt29/+/R/su+ev7ASJ5Ny9BVu+v4wqK7oHqGfuIUX707Pn9sOLVdt9+sqOkHCdA4BSgKPU/JzFMzhrYryXwc9gv9w7WFSQkuQJksAfoPff/dOPtonErNZsB7SsIvk8AEge16uBzZtBe22Ooirt6alUJ8FLan6IN5hBWttlDqqt86C+DPHqMkhdl1cWbZlQMOPMnYtYh4McyiaZtzrlnm5jm/l63faRvnax03sBaF9ZQCUzV6APgzJftXv1NtjDq3NGV96VAhGwe1fKReUiCkQUiCjwVgqEP7KDLJMKe+bDVzT4sffpt/0N13tVnc7piWME5FUkDZDLYjeXsTahCVr1RKBmeXaKA4Yj7DQqDeLNHSORwxHDiy3berlhu6hcnu6znn+iNnBQAnjTP6lYKt5cnvHlYAyVTuADzlDTAoA134AwxaZDzGbnhCdoZrDWKFCmKAcoeSsvT9rsYxjHxys2eW/CctNYrZSQRaRbFh89w6j/yOLY2TmlM4E6zxiqL+Hxc/oem69VVfTP5ntUGhX91VHA3Ufhu0kk6N1RvSNPmqvzhnP4csotNl5PQvUCp0Wnx0hZdnBatGunAIEuUrZznGR0ZHPVqNlpo4G6HR5hAzs71ehr0rHfsPNCQrSFXdZTpH6vkcR3Wh0rzkzjlOgetnNlwJok7lKy1FM3AsjDcREM//TEuFWnjmx0NI6a35jlsD0T/FMrvZZ6R73UD/HshuvQ8VXvQD/Oy79yqdQAyG2ggvnd90/txatNGy0X7EHmod1bXrQHAKHcSBJ7tVO7SI+i2nhkuy/XrHVatTGkXnPQYCKXY9zI7OLJgD7h0Q62qPlTm7LnO2OuNqH5KqDyYGcXLQnUP/E6KlDWAJSd4AzljPnr5PI4QOlBRtXvJXe+ft0TkphKXbSC9PHk7AxvxUBwGkxiDzleLtlUecJKGfkeFqR2m2Yry7t5ojRt5QligCLxi8VjqN9j58wiQR3JbAu1zq68ol45sMsXLqf4nka/H4oCEbD7UJSM6okoEFEgosA1FNCHu3/zn9D+1LeduY93f67+j+VgvZ6x8b+urLfGECDrXqRg+IoAuhKMG1IzQN2BVCzXzDZeNWz7GV7wVretApCrHexat7Jj3dNDS7ROkMDVAW/nuD0ZAcDhihv2AGhGrSlSkPQB8Dqkw0IiryMsAek1JHNtVvJjmQvLTWVsbBpGcGHcZpembHwBFyozJYDcGGqWOF2YGLF0sUpMurrFkiiGJSSdwzfmSJ36BezEyvrtpgzczfINzpnO+2nt241+IwpcTYHB+2hYzne9t3w5/eppkE3Y1smpPcdpyQnM9yhqgxmkZUeoCo5gs9WGwa/VsdGqAwz6np3LvVRKB2C3VzkOQMbeyYlJytNhIUZhE86xM2sDNiRrkhMNPR2yks1yrUibU6V84HRjvly2As5FEjw8yttvc0axvm34s3nz527w/ddX+U8nqu/yiN3lwOMlV8+hlewFjyundnJ0YukRJKGHxziAOrXk5KRN4BAmlSnaItLJaVQat2RLfEQYF35fIi19uDxvcxPThHqQ/oNArVr0/esfp0Cd5g8IZxuVQ6RimwGIk+1eBlXXGnEHVKLNHGr+6khk3ZvPj8LVO4xOWlKrA8gOGMNhBU/EALtR5rGAU5tSrmh55krQ082NaKBaBBgVtgZnWLLpqxJYhnIpQGwBVcxijrHjVOUm23W0vkn5KM/tKHCzWbldnVHuiAIRBSIKRBS4BQWGfYyvK37z/MqpXR99/epjLUZAr34xenFWXfno12J2VGnb7u6J7Stg+E7cNjfMtgB2O68bdrB2aMcbp9Y6a1DyAgCXJDRBilAEUrE8Z6/aDCwJ7lQAdbKaExMSQ71y1PZJOaZEA/ldI5mydnnarLhko2OsCE/CJBAkfHqpZIv387b8IEdoAgKQl1FdSosbkpplhe7D0gTDUN8dmHNskM49YxNmlMLHZIm2iAI/ewroPtdDMHwLmH6ehWOcnKzjtOSl7MEAJjPzs9iAndnR4alVa7VA4nLKr47bSH8IN3nt1gbYHZ/W7QAVw9MGrvJxqvF6fce+e/bCGjNTSKXk7RKQkE7h8RKpDrXJ0+Ls+JiNovpXLmRtEeldIYXEHSdI143BdcSN8eqRXtvd0EXVoF10U6/8e0K/jpb+KgnBFm4zyA1ATTO+4njRitAwybFiyKW4mECtNUU9AoGFzKjlcTySwqaugcSuWkO7AU+UZwCittQfqd0tpAW1vmmt/0dXZM94gsOS18zfKsA8iTR1YWnB9pEGnhydBnU1UMk8QupWRZ1W4RaGbz7dhajQ2SkqnNuHB9hEHwLsmgGwGx8rWamcQ8UTG2UGHwbcksKeXTQJa7FlO3tIDWkvQeiDEuqZc0hsZwCyOUJnyIayR9vhvVFqmLZX54qufAgKRMDuQ1AxqiOiQESBiALvSIH+D55bdXVV+Y/zsIp9vsE8SleNzkZEoQkciJNUjjX1LmqP54QlaKE+1caFeSvG6nMbdZ8G6pWsEv9wYC9/rADoTq2yj0pQBecJh7KhSPAvjjQOr5SAuTGCEkxSNwpW7EfYzKGCBSMQB9x1sLSBnWGHSSG+0/EI7lNi2N0hncss52xqCfuUBys28XDOxpeobSZh6fGuZYsNPOwhYWAfSeLoO2ACBeLE8mh3Y+2nF8mhTbmuux7KGh1GFPgZUkB3uLb+u1wSGQGHBiqYFZj+DYDB/l4FyfekzWCjenpWs+3NPaQ2rSBQ+fExNloAj0AV85IqXf+7RZcvztsBIOyieneKtOiPf/zRmgC919ibLQLu5ogjOYVKXzlXIqwBKt2oXc4vztsszjry2GiVURnMISESw6meDtuUqjF05G0SO0BJisBEV+QeVkM4DfoEgEOVuvbUrkBICnDi+uHyO0r6MffqUPooKpXzs5P22998EQCaESRUT/DwuTg1aeOoJsp2TnaFI7QhVcmf2gykmEjogjiZg7PVe2e7nqlNB8DqF23bx2HJJuqfFaSkC188sgkWunZQqd3b2bcOKpBNpGZHSN5OcITTQQrHS/fN1qvXp7hfqXeiTs/cbe9WbBdgJ3XaUUnexgqWA4wyAKsjCZRyvmoR3U/Pm/Zqf9/+iCfMrc1dsnStDFh/gD3e45UFW5matmxCfjlFKY3kqvZdL6K/n44CEbD7dLSOWoooEFEgosBbKKCP42Um4+pCyhv+oOoj60Gd4sxluYodxnmejznqPPUkK78xYsyhlrNDaAJs5io7R3aEimWFj/cBRvFHMBD1gxO7YIVX6pXyXJnhn7Ob0+8o0E5KlophhKoOZ/uk7sI+yNGC7DlGYJ6SpVEbLeUsC/Mwjre1rJyhYJdSWpm1iZUpG1tiFX+GMAd51rxTqFeiYinGayQW+NBjHF7F8mZMg2eS9OuYNQ4++ubnSnPge6BGb9ODdy330QcXNfCeFAjPrKvq+vui/94dzBuuzeUUoPP1Kuj0IVKl5zjxOMCVfQZ1ubnZaStNTthOeReJUtYqgLGOVDHlVRG7rXOkb+Fahw03yTOZH0VdOo8HTQDbCcHJd7b38ZDYwA7sCCdGY1Yu5gJX+Qp/MIM91jzSnGkClE+VSlYAHGV5Hnr2W+H3lWtRfZAnzybgYp9A2tsA0yPAaKOrUWkbpIXSwj0fcp1+B9sbYCeJ1ARqjYuzUzadL1mKWHNXbQIrCVrOYlO2wnhiXz+xe3i8lKOS2bkZgruXiFWnQAMCQl3AVhuth5o1sXuTjVsum7YyaqgFQO2o3mk0FJaGqV3X+57yo96de3gSfv7iNdoTJ1Yuo+IJHWNIOqeJC5jPZqyOxLSF3d8papHNViOQ2IWpMGw8/s10im3lbgUPngBGxR5M5dKWQD1XEsCNgwO0MXBxDK10R0jSuMe98gKnKc83t0ju2hIOcxamyvbbJw/t68Ulm0zgFZP7L/bTe3pY61Ha56BABOw+B9WjNiMKRBT41VHgMhtxmcFxRLkqPUwyn0eMXT+4E4Mkhk+hCRrNlDVqaavXM1Y7xW7uAJu5tQt79axjr388su2Xm1bZ2rc2F+KnB0C0Y2RwNdQqFeMKz3Z8tEu0QChcPuKS2slWbhS1yizKlzAapMtpdgObuTpqS03iGnWJIZcZT9gkNnMT9yZt5dGkzd8ft/E5pHNjeF3LY5afBsflDnGCAhuUZB8BxI20WPBmD9bAFZ5Am9gWP9YgIfTHM7X91y/TOVTklofX1+XbV6U6lnQx2iIKOAq8jeG+ik6+3LB7z1/rLyuHKUhcsLnaZFHmBcDgDOnMInHGlpCaJZCUlWDiSwCDnVQCsIQrewCCQEIbJx2XnV/0nif1Qcz/9FQpCEy9h31ZG6ZfNl77stfChi+GymAM1JQAwBWR/izNTdk3Xzy0f/7tl1ZYWuI9ItXs3nLV8HE5iVULV/w7eN38w4uXtrmHYyYWlzQ2p8bYP2p3BkVwCHOpTsCUSmlDGMUfgCVAbmlqCklVysayRc4F3/xY9dt7nlWf+qwFrJl80cZW0tZaWAyypLB3S+IMRbBOYKwKwKpgc1cRbQj8ncEhidQUV+ZmbbKggOyqSyMYnD0nu1Sq6pEK5jqSupeEimgTouD+k8e2iFfNWv2M+ctg15a1I+LLtHF4U2/ivARAdh5EEFdvL9dNYtCqVOIlVawirT2g/DF9PUdil4BuMWhyBiBdA6gfA2IldWwCpg8JhfB6a9u2WSA4op0M6pcrC7P2+yf37dvFZZvHNi8LYbG2DNFQLUbbXaBABOzuwixEfYgoEFEgosBQCojZ8MyHYzzcKr0+5jr3LBNsA/ZycmPQRd2y3eKDfXRhe7usqhM0fIMAxVsbuC3fIm3b7BCJ3clmw2pI7VS7YBuuU1CrHEHFMskOMCP+3ARAbwyAlyKXmBPFxjrhmkBdFQh4NlKydoqgtjAyYzMENZjF6ckMUj1CExSxnZtZTNnc4ohNz5xbDo+WyTStxRXcQHBQLbuxaTRikxwz5tk4XesxW5wMbK6sT1Qdw7cwDYfnuH3qdf26fW1RiV8PBYax4Tcdfe8eF0zQPegsTWuoSm5XDpB07QXeEjOlAraqBJ0emwjsqRTDLJvFliqRBHzU7Aw7MKlntqTKN4gJqNUn6XlMAwwXZ2bsz79uAwR5NonfJvf7x5KowfR3iYcn1T317TRxFthitQGWKWzRFN8uQ9DuXEIQSVv/Mxsk/fQHYAHQiNHHJLZbSforUCkJknsj9Eb/UxFdUWeDS8OvkwVcB/AELCUBniMAUAE9P8ZeKbXkn2vXohjkBFK6HBJL1rOCTSNQWXmvPG3VbXVnx9bW1+0M6aU8gM5NT9qXANvHD5ZtCqllinZ7cjlXh/+rVvTWO2nJlm0PNUm0JaBpYbpoCwDD8WzJLjgv5vAqnMUZFfRoAcpOkcyeAqrlCEebJ0FvTJ7OikMIkGc/bjYCW0lJWi8Ab4rFN46XT0kCVa7F3J5DzDYnit93DmGqzQ6AlTD3kGXEZi3PfTSZ51uBir0Dq0Hz0Z87RoEI2N2xCYm6E1EgosAvnQKeefAf36vG6/O5X8d06FgwS2qWhCjo4s3yfJSPPQG9CRzePGXFtXpu1SOcHWye2tbrir16um0bL3Zsa/3QTvbwbIYvEtgVPszpwPlJil9FWiqRhuIUAC+FhC5BCvZ3fOD3gXLUys7qPh/+JoG/TxPn1s7CHIzhDXMataOVSZt+9MhmnyyhZjlumVmYMyR3ySzOVlJieE5g2GosrmvtWOyMWIm3jV/99FKwHvul1JtvnobhEp79UdpN6h1WR7g+Hft+Dqbf5LzHZCr3TXp0k1qjPHePApfn9rb3osbUq0VPEP5hg0DkCiS9CjC4kOQMQJHFrq0LEGiiRjeCdCqRxl8l3iw7baRMgAI5UJGNneCMpDq9u1BASve8UqSSCFgplM3u8UYAEGWRSD19XbRt1AZPsfOqIWmSFKnVQIKEil8VSd4qwyqj9jhVQjWT38kxUBF9uH5j8Yg845R5sDTPGIpW7bStRf9dX1Ta19H/7tCCVm/rv+ZKMX76Pg3gLRN/LhFI63oldOQWlVTW1dWjcm+O/JGkiFWknav7h4EN2ubrLUsAspZxKvKbLx/Yb794bPfnCNyekTMZ1eRLqqXepreG3qw7CiS/tknw74qNYPtWwpYtg+prh6Ia/wgAOZHhfS9gR8iCM8JX1LC3k1fSLpK3OECr14KOwmeAujYOsATmiX13jv1iDLA5ns/bEoB9EdXSPCVSOIPRvaCx5WhLkl7ZU2qeD/cJcZPftjXUepcFVlGtzwssMzZH+8s0740yOvrUFIiA3aemeNReRIGIAr9iCoQZEB1f90H01/TRVl4xCIHlRxCaoHNewAEKKpbVOCqWI7a93kUyd2p7r4intL5rx6hYnu7vWAN1ms7xoV0QZLgMGwi7B5BTWII0EM5Z0OEQnRbkqFzx7HDCwLEChjfJ0wSMydptBPua/ARqTLM4SpidsPLiOM4ZsP3AcUKOtOIsrlSmWd0uE2cuz5pvCrZlpAETgYQuULEUG9NjODgJth4DpZbDWy+vW7PvXdWV3lm4zOCxp+Fg+k3Pw/N10zK3y9cbpSt387Hdrp0o992hgO7dwXl3KcPv6t490buuNHlRPMUube34xL4jgPQWqpgTOCyJAShOgnAG+3horKOGB7sOKNAuMNDCG2YTlUqFMkBQQy2uR7521e2kSbyhAA6jAIdZVAETy8SVBBB8+/CeVQAKCnR+gPRoj5hrG9jo7mKTdYKEp4F0aA8J1i5eGE9pv4u0fvBdpxTfnn61pwAL4wroPRPDVm888OqpJ1h53R8d3GALxHjko+/Bxo9ASAbQO6ZxBLHfwosxQQsqwK4WHVDqqWq6c11VKYG6reNj+x5NiD89fRHY1z1anLP7D1fsN9igPeC4iHRLb1T1wNfO4U+b0gSijqjrNfT7Iyq0CkUwhS1fjHetvGoeY7N3TDzCBqDrArvlC+ijIPN1JHxyhNPzuBmmpVrUrnFIsZ2A9Khf7h0dIc3Flpm5LCH9m53EEQpSwSfsWUSuo2+kf5IgNjmfnahag/tmAyc8m3t79pr7q4QUtoQ6b3rkoSXLk9QlW2sHidVitN0NCkTA7m7MQ9SLiAIRBX7xFBgGEpQ2CD6U5j+T/leKL1ptT9hZdQQHKLggP2rZCdK3vZ2EbW0B6l5iBP+0YvuryNi2jq2JoTy5AXBN1CljgLoEtnNSqGmhZumUKeUfTvXi/Bogl0X5skCJNFcT1sQ4vpnNW7swaxdF7OYmkOKhall+VLb7j8u2/Khgk/PI+wqjGPijBooUbySBER9flRHCE1yIuZLtXAALw5K6d5toMUKixjAm6d1qvE0pPw++zOfphW89+r37FBi8YwZ7/Lbrg/kFtAalIw2Y9m2e8+cEsn65hRomHjHTOO04fePxcgQJXQupy06lEjjEOH8jlTkH0DVQl6wCwJp4YpRzE88M6s5WW/ix5XqdmJb1wDtkPpu1JezN5pAEnuM8Q45OTpHQ7WG39RpA+QN2cX/48aW9GFkDkLSw80Ntu94KApzLjs/1341q8OlxwVEcCMrieTKT1PKTkxgOvh0H6TL8PNyCo7SgmZTV9U8K7IO07K/HtapaVNrRxNnC1QFiO8dH9j1A5ylS0jNUI6cB0189wv7s8UObxxNpDPBcJXD5CPZ82bhiel7eVKdUaOW45CnhI17usgCHTWEOW8kK9Qu8Scp5CnjeB7g3cZoiNckuAKyL1FV2kpofzV+SQOna3EhVc29rAs72AaGbu4eBXWUcSVwR5y/zLMgtlsZsKVsGqKFdEcyQKyvajxVKtokjm9J4CXVT1EQPjuxlap24fGO2MjuDFHacdvVd0sxG212igH+W71Kfor5EFIgoEFHgV0QBB9qcvZyAll7L/F4gnSM0gZygEA3YOk28lR2f2+5G21afb9mr56jHrNawnWthM4fxPVK78wrMUE1QLQZES7GXAHWoSuLmZBKp3CQszQTr/AV2XKvAFkrJssNRnNAESTvkSn0ED5ppSi3y8SaGUnFpxsaWkcgtFqwwj4vsya5NTLSsxIpuOtdCZSccKNwzFcM+9p5FGwZwr59uMWN+6x35lM/968f1ufsRtf9LpUD4npfapDYtmZxg5/YcZxvPX7xCStbEJi1hNSRoW01Cj+DQRDZr5wCRU8BZA9AXuMfnEQVn4dWyCYDAbX6tavliHHU+wR6BGDkywRkLKntyd7/+esOmiNH2BJuxPOEMYpJ2kVFWt2NZ4lkimRoH7I2P4VADaVgLYNJCrTAuezmpXyLVCXZ1+s3mQJVOws+OjslL584vXLgDvUX8GyW49tOZehreernCqeFjgRX9j6OGqDEO1hDOGz529HCSuho02SYcwQ9rW/aHZ6/sENotPnlgj3lPPsbj7ww0gOC8k7eR4lVtbm7aFsZncKCid3pP6qf6JW09YE6+R1L36vVr4gPyToZe1aNj28JradBPaCd12SOkow3UXrvQRZve22dIQg8BbFVUV9NZeSj271WNTPRw7bWY/z0c0sh+TyA9jtSyDLCbRC21iGQQyz32GOV7c6Exp+mLrANHuI8kWdRigJzm1Gi3AZjVPeRp6H/Vt2j7/BSIgN3nn4OoBxEFIgp8UAr4D5wq7X2sPkQTnn24/kPmVFP02bs+n1uRdoAOmzkA2EWX8ATsnfYojMEoTg5YsT0gUOxh3Y528by2W7U9JHLbrzZtj1XeityOH+IEodYCtqEiwz8CDPBXYQl0xuo3n+dU8A8VHj7RW7AFW/SsA6QLfM6N8BlAvcZKBDXArkWruZlJ4jQtEWeOOFWTD9gF7OaJ24SLzFiyiRe8ExiEOowbqj0BmyHvaKLOh6T39dR79/l8l3r9zF/V6rvUeVVdUfovhwK6L/y9oXto8D7y19yI/dX+1B41dF0ARc4tqgQi3zmq2PYWgUaQ0C1g91SUF8aklKrVqquti1rdGe73W3Dikrog4KMSnGSgyndcxQkHjHoLYDaK0xIH6Yz3RNf2a2f2CknNK6RSTUKVLC0sWDcLy/+mc3rLqkQ+hv0cnm47BCU/xParDAjMIhUq4WRjnDAIeWzy3gaj1FMf7uAAtXF59zwUmKGPTlXUvdNd03rHONDCQWi7+t0TQ/0wScfH8ea4Mjdn08USXjElt/PbVRQXRZz08gRQtY1t4lOkoy+2AW5IPyexqXv01RN7uDCHmmLWatiyHR7u26uNDesAgtI57AzHsIgGHPkW1EvN3yneNHex0TvY3GExrhnY5xWxq0sBqIL5o4CAreZN0lKpRW5DlzPNLARrIA09IiSBQhOUUF9NkF9t+K+PRqbyTYD2AR479w8OAWRtpiphE4RSmC4SggaQ56SXbgb01webqTHeUxy3nJzU8YQqGMpnAlu/HDaAOTxoakbUnvZou1sU0P0TbREFIgpEFPiFUCAM6jQknV/9wb/5oH29ri595K76oOmav9qfr78fYmSUTyvf3YtRPp55VrsLeLHD4+RpMghNsElogrWnqOs8Y8V1dZt4c9vWOACWnRxYAlUfoB/qlXXkcufsMAAAOHxVki6WKwkDwQo6e5NjGelX+K2PSCqH+mUCVZ8c9nYTaWzmUM25N2nL96ZsZmXCSvOAu3FsXQqAueK5pbKodWZY0U9pLV8qQrhswH5ObIBkB1fRgotDtn46DMlwh5LUVz/3w7r1/mMR7dw94+q/HS2H9SlKuxsU0Ez+/+19aXMbWXblwb4DBLFwFamtqtTd7hp7PDMehx3hifGvm//kD/4w4Qjb0213V3erS6qSRIoiSIIEQWLf59x8esoECICgSEmkeFORzMyXbz0pvJcn7+Z9mvbc+7Rn9dT+nxv//yUkQyR27SFDG5xWsMu4k22SDXFS8vjxQzykbVcsKESKr/Ty9v9+7muQhPxmdxelas0JUj2gWl+fMewajIcmoRG6zGrrll94TVzvkwHu0D73gPHNMpTudCitGu+N7bvId+iAhVKcLiVCPkqekiR26ySDW0J4SPREEiU9n70Zotam+ubrd2X85vd/5LGEMzp4ETsyGYlFz9bhRXHynm1J0s3uQ5QkRpyy/K//HqCNGQlweLyUXHnrtORRpGNCcvYoqfszJXU//PyaqvB15Di+dcZ2S6TEyYuEmzinB8ljlF6/RYX2hgmqlIr6pNgour0XRzUBksK243hl7+CQmhgdrBeW8JSqnJsraySB1uOkGbeMpUpSF/njc7wpHZKknbNOxs5jAPEGbfBalOj1+azFi6X5VCglzP8fOevw2Z+es2+03xOpbjZLG2nGoytSpTJFMh6gyrzIMGUTIiizuQQrr5D0C/E8pfOUNh21xCndK+SXGQdwlWqaXGkcid44Yk4l+ueLI6DE7os/Au2AIqAI3F4E3OV+8SVMysgmR1lgvdeGzEm6j+EJBiPawHSoflPzoVJu4ajUwdEhcLDvw+E+cMgQBZV3bRK6MzRLVKWiOmaItI0+7xwnKAUuxXm+KqyQzNHVAEkd7WGcNmlDw+X6mPK6DtUrm9ypOMk4c3GMsjmEcwmklukypRhDkpK4woM4NrdDJHZRrK4HkVyiEo74UfE32X2GJvDb0ctRlMDs0bxMMIGbfZ0yV1/P308/Lvs/5OvBTEdyVQTsL2x6OfM/xHlR52+vStu415T0vNkzMeSeMN7ZM5KMB7kVxDzEwErtWixzQvW+bJJyfTrhEPXMLgmYxDBr0MlKT7wrOg0L/RLbui5KfKnfPTqmCl/FIUJVqhYWKc2XcARGaVNmAaEClP5RTa9CEnhEMjZgfTkSTZGMbReLyDJ0gXiknLdJ27L7+MEpTPf7Sdp1LVFaN2rzQ9d7px5j5VmfgxcJzbSaLZb2nvQ3wnGnaFcWkrABbMfd3Nw2v6TILli0ObaDWpWE7g3+/flP+ImqqR3is0IpaZV7LPKKmgtBhgugyivJcJsBwGOs/xHDPPgY785H1VUh40Sd/8SeeYgT4v5avGDy+UVIgre21vFsm/HhMlkn8LnICaWH5pmQ2PH5/MRnESeWDkkm2e22+gw50XDi04neBAM5vO+1YGNIYZcErdluUDLL50zJrBD6SCSEIjUyVijhlZh7VvYpSEo9TdrslWiTKeN9Sccw4gwnJKSOYRwePtx0yHGOkmErIbSYsahutwQBJXa35EFoNxSBz4uAXcyk1UWmZu9CaJebz9vjz9vaJCbeMc/HTuxHzOuGkDgJTUCzdErkRsOwE2Nu0KckjcIuhkBCt8GXATpBqZRaKL05YGiCMvZe8yv53jmqZXo+q/JFiyqZQdI1UbEUtUqG1qV0jlI1pqS5J5nK4AJclGt0gCJSNLGaoz0EPVGe0yj+nI5MmnRsMqIL7cxKFpntDRT4dX/lG8ZJephi3LkQIuk+Ygna2iTOuPCTyNFuThxfG2mc13vcYv9bPu+z0tYUga8LAZHr2Nd0mW0cW1hKZup0qHFG9bhdxqz7M1+69+jA4+HmKgr0ILlEtceQQ+qMcrfQgj4JQZcOOs6pgtemPZ6PUrUApzJx7tEVGy2q6JXotGOdUpzIsh9pSvukvRZJ4AklNaeHDFB9co5y4gQ7JJIxSqEy9IoZondNIUeiJikxsk9IcHYoETwgWREPmuvrBXxHad16hpJ/v2v9NfspSav0vkmviyLlS2eXcMaxNqWfjuRxekmZZ81MLeVnb/KiK73IkMisMdyBtCP42FKTs718eHOIDtuu0Cvlj7Sn+4/f/oDf/fEF3f9X6U10iP1Xu45TGZnlJa84i+qTOMVJnL7dfoDYky2EGTZgyMp7nEvbdIzSoKpmlVIzUXF9/vJnxhQt49un23S+kscSVVdD76Vgps6hE5qgQ8IoTmi6JNYBthtkp308tnl9fHyKQxLvAp3aBClFS1LdVP7niGSuSUnsKZ/jDoOenx2zz5S68T8DiT3JM2PYSb9Oawyd4Gs4sQDFwU2LJLrKkAg/vXmH3/3wHPuv9/g8R5QkFvDLZ3QOQ4+f26trSEWiXIUEeyGQ5v/qbPT1zudGQInd50Zc21ME7hwCXlJ35zr/ER2+uMy7lZhXATeHXLtX8kIg14bciciL3t0YlmAwTKDXocSsHaRqix/lEu1j3vKFaecMJ++OUS0doXZ0hOZxmaqWXIT5lTRDJcoiaxD7OLGZi5HEMcwwX1CoHuksqxL6IMoQ4n0c8dVPrCB6bH/AF6sAzV4SWX75LmT4dZb0j6o+KX5xTazlGTi8gKUNkjwGEU8V+DJFUodQj54s+/zyTAsLkkEjlRNrC90UAUXgcyAgvzVLNLztOaqAJDn7dH7xkkRul/PE7hHjU+7uo0HnJyO+5BcofRF1zEyBgbQpJZKaRAp3SjXKkriqpy3uf9DBSoUBzAMkGEG6V+yfN7HPOv5AMjGiCuWvv6ETEEr+wpTOdGm31aTq3pAqgAkGxxanGT88f4kDqg6m04YYBWjLR+1MxrEjWaGtV7l8wg9YIzzmh6Nvv3mE79ZXkWVgcnHOYaVC7ri8H8rMDCp5KN/CEoOBS0DwFWYWWzQ7C82aiyZnYIOh+WvLyIwsZEk8P0qodDm/uLk1yZnsHXqffP1uH//5n3/Aix9e4JhErE1pnYQcEPXHFneH3FgJIssE0jJHc+anZFA8fProGbhOQnVQOnAI0275EHsk0zu77/hxr+3YRBb40S1Pwpxa5vPjEuK0zSDiRwyDsEfJ6RuSs+c/MqwCpYESlsBHiZ2c7/y8iyivu5Tcff/dY6zSRrpHb5n7rP9n9nuf5PzVAT8UknCTWSIkRJl5X/34GgGq4cbYby4XjmhQ4hA2+7TlJtk74bOv8P9WMkZJ3co2Niip++WTx/jl5gYlsPJMRQYqvRx/jkzQ7RYgoMTuFjwE7YIicHsRmEbq3q8Et7LT119oZLmyLwQXhzj7jn09kTJiddLrBvnlO4Rm3Uc35AxRcOYjqeOX3j3aa7xs4d3P/Nr6uowq1XG6Rwd8GThxFCbTVKdc4etMkTQtx1ebJK/5asWltMp6I1SpTFAyJ2EJEjwPceddqvu0QiSQiQ58yQEJHV8qHmSRf5LF9jdL2HhEL2hrlPWluSRHqQYa7tOb5TED33Jhdz4BUwlHgoc78eaMpM6MXdDQTRFQBK6OgPx2rvb7mZxdZB7p076rSbVJcSbylpKeF5SmHFHlT+yrgpRAiYORY3o9FA+Zwxznv4Bp03GawjyHpwxHQJuvCj8YRSmRW6NtmMSyi1KlMkz1xCrtr8RZyboEn6bkKETnGiLVi1Iqt5bLIhCJkDxS7Y8SvjrrC1HKF6LURxySDEhshJy0mB6mDZtI6n759Cm+e7iFQpreGilBEvstQwJmIyj3hXwJXkKKrBRM1Au9M/pFfEwZqdnem0Tc1GtnZ9Mfs6qZdcyWkzrM8zIpzhzOyuokQGf0NCoePnOM/ZbmmD9szun7a6crPicw+yq9YYraqkjvyJ1IELuM91fDbmkfr0iyjkiExZFJiNgKaRbpaJvkWoixHUmPrFnCSYiEcOfdIdX1zx2pnp/PTDYhjSIlPObzeHd4RNVXejGms5YWifshY9a9oWdOIYVl9j1Kdc9VhmEY8aNdJpViOIwaXu/S2o+dExRGJIqORJF9EM+ZgkOKdpVr/Bi4TTL3mPELJZh5NkanXE4ZV4tjHD/pmW5fGgEldl/6CWj7ioAicAsQcMnq7JcQu4RJDllcpYwcZRqV8AS85no3HNKaokMydx7AAe3j3u7wq+sOidwuF+kSg8UejnB+SBu4YwaYrYgay4jSOLqeZn1Z0rg8KVuBJK7I9GVK4yIkd2KZIS6n69wlaHiNpO6ETlDqvgSG0SWEGGR2lS9VqTWqWm5QRXODLsg3QlhZG9ExShfLuR4SjEUXpCdLUCrn2sl5X5vkpcJ77T3nLd0UAUXgMyIg8wt/rnyRjtI2Nk91uGc8z/K3fs4XfnFmEuZ1khK2NZKIFRIzR0XyfQ99JGZJiTu3wTrEO+PWBv6CKnrizVF+2WL3JqqbcfGSyDAFm4UCImLDRS+5S3ypf8Zg2+ssE6WKn8ROa1Ktr0cy0qVKaJvqoH2q+on6XoSETmy1MsmE40L/wfIyVkjqEiRCQhBk1rQz5/uuXTiY+8auTG6Kq5XLyphK3pOqCzXKCO096YepzdAmM6/Zu/YoVYy3SSV6kqcHW1v4u78Hnn3foNMpqlWSrBoLNvbzfWETB92UThKPLToZeUIilU1Qukn7uyFxXaXNXZ9hD1a2NqlmSvxIrsOsS0IOCIHOMi4c+fKHLcj4dxniuLW9iQglcQ+ePkS9Q+z53KXZkDw/FoiHGGyczyuf4/OPUNrJ9jbowXTENtebdI5D76ltSgy7bE8KRugwJSVSN/aTzTtpQih7VCPt9Tr8UEBLQBrQpemJs0Dp7ColwaLqmWZ9on5plFQ/dFNPbiECdJz0z97/17ewi9olRUAR+HwIvJ/pPzToWWk+pMmJWRzHkqZeeMtPlvHeu0qdUxu6RqLtx2T/vFVauidx5qK8QTXLUZQoxDDoRdBpUZJ2DqpGUZ2l2kaD4QlOD+o4YGiC0qsSSjv0ZkaVmFq5QdfkjDHFJVKCE4h6ZdzZwzz6eebjUagbDdbpwzLII1+pSO065Iz0fsbFvE09yy5f1Hp8kfLxhS5RkLAE28hz4d94uob8wzSSK6w9RXsK2sqFI6wncMYQBfRkyTrE4oPRrXg0LyJmlNMw8C4N3rymhP5VBBSBqyAgvyHv70h+X97fmLcu83sUKzD59COeCilPd8hAh9OU/IrNbDXiTMLZiG/oYttmpF3ms5P8wsUZhuwdeXF3ypkZQFqVT1LSG/GKGOFJhHOL4y+JaQ3a5Z3RhqtHIhJ+T/YktlxnwMDjlOhIAHSR0onULpmIYZmBrlMhhlchmRNnk1KPKIrLZmRCcmau5WzeZhExSNkrW8Kk2quPOU7W6NZhpYbSUxPmQGbKHrGT+HUSHFyew5A4WWLnPj9JEzJqopDG+Tyi7KqolsqTFHVS+TAnUjj6v3Ken81vnp/gHyBm8lwMGZYyRr2ez48SNbFllPaND1LptbFtkzJhNhJlv6Qu6RP9FjueTqXP8vw5BAd9Hpz+MPoCj3Ilm8FU/q9JPjsmh/jzljxPUV+V/1uyWRmqKWXS9O9tQuAf/ErsbtPz0L4oAl8cAZmu7YRvO2Nf+u31Ygu0WUJsGXu0ZSfrnLxvrxc72h5/usVG+iuLatixlxv0qfbYz/ALdoxeLcOgJgxVK3tUsaxi76dDxpgrocbE7imt385P4ae6U5jusIW0SWgCiTkX43IZdvYYF13GriOtowsTZyFu8zWO31qphClfievoMbSAn6EGUsUEVtZpT7NFr2abBSzzPLm6hATt6OI5krwsLfIydKUS50tGmBZ3flGroXG8E5pAlnt53ZNXBnkO89CyiDKbs83La/PoURFQBKYjIL+fab8hOx9OLyW/QnmRl1d4yWkc08tnGVOX3Dc+F2W2NbnMTGVmcaEIUo6feJxfPk95NHOvfbGXKylr6pESJCDcJTyK3JGoapac8dMS/9ERC9X9BpTiyeZI7IIR5hJvmaa35ihzjWymvXnEzs42FxGyd0xN5u/FXN67i5zbWmfVJPdd3AUd2c3saeSKhnxJWy7JM+OUscvnP/GCKViaPOZ5CMoGFfeO0f0wtbotmadjZmpDwaV92aVfdpNaZAySEuCTkWco/88cAur02bRjxmJK2eduCZr3/6X01mJi65YeG9U+d8w2z7xnalrTv58fgX+gzFY3RUARUATmIiCLxe3c7AJte2ev3YXH3lnkaBdMKe2tQc55j6qWw36Ukjk6QDmlJ8sKg/0et3FcDlDVcsSg4bRteH1KhygVhiZoos8v2jEusWnWRSUbqlaGsMbXpSL3NPcwCRejCJHCBekAJU4LuzTDEySdc7Gd64SWMUitY5SmXcgSnaEUI8ivx7H2OIlHT+J48DhKVUs6VUnT31uEIw/U6F77jF3nOW0pRtQTMpI5azMn1/b1YB4eFsV5efSeIqAIfA4E5DfL4CPOy7vIbORXbKUnpv3JF24zXxsyZqR38tJvf9VGzmNK2lnO0BZ31hOVOyrqOZlEZmhf4KOsRWpM0bmJ3cxsKa3JPCN1SEufZs2Qmk39tufS4rRN+j67D9NKG3wsliJ9s7iL6qOhY5LH5DBnbssGBXst5MmbYuqWsrSrc+owdFBaMf9MSZdsWWmc1OJ58uUAACVsSURBVCS4mlFLLndUZhTy15A123dDLM1zM3ncMlKD0Dzbf28vTV7JIXns5uZwa5EaJF1yeUvZMnr8sggosfuy+GvrisAtQ8Cd0G9Zx67RHbv0zBqbLHMyFcqXUfGbxnOGJxiO+JW7x++v1IGiBo0TQ65dH6FMu7ndn+iZ7tUp9t7Unf3kgF7k6O1yWBXlmzBVkYK0lwuTquV4THFvcI9RWsfQAs6y2iKhk6/fbSpa0sU0ZXPHlKqdUDpX8yep5ZlD4mGRoQm2kN9eY3iCHHLbCYYr8CGTJTFcqiOZPkckRvu7EB2msCYThcgdo/uS4IXOve9NnTy3uSxyk/f1WhFQBD49Au7vz7zoy6u7/K7d9It9cH+73nz2o5WZ5bwv7l6q4ErXJJ/UJC3JUXb3xZ4XV9guLzdvPLYhOy7bK5tujnZ8ti17HM81fuWSP1u33B+v39Rj+2ePbj3eku5dm2pT7NHWb8sbumZz21T36bjP2h2frFLmOV0sZ5+Rtz3JbcrI2eQm45vMPZnHXI+35oaKmJ5bU78kAkrsviT62rYicIsRsBP5YtP+LR7Iha7JyGRUZrE0pC5G+wLay5F8jQZ0SELJXKcbwtmJD2eHXe412syd4Zxuxk/fHuHkbYnXx6gzjlBHvM3RsxnN5PkvTuXKJMlbikcxNpcIc5KecCLMldjqPpdZhgYmsZNYcR2GJuC38RT9v2WSjrH6Og3pU/RAltmk7dyDFSxvLaO4nSGpY020mwsEqbZD43bxTSChCYzVjPla7g511ovNIk9zkTxuS3qmCCgCnwcB+WXK7OWq/9nX8lm/WUsIvP2zM7s3Tc6n5ZX0Wfnl3qfeZo3rU7U7u73pd6anTu+dxfEqZabXdHOp0/oy+f9g1lpyc73Qmm4WASV2N4un1qYI3HkE7PJjByLX06Z/e3/2cd6CMO/e7Bon7yzWr8kR2VLSBzkn0RoEGbtJ4szF6H46jmYjgrMK7ebeMjzBix73Ko5ev8N5ibGHjt8hcEYyR3KWprxthZQtT5qW4jHKo09s2pxQ4TGmSI4EczLsAV+c6szV9LEdHy3tglTFzAywvEr1SpK39a0sHjzJYf0h48ytL5HERRBK0G4lQRfjUcafilAdK0jJnF/cKLRI6sRmTkzjhdxNjpHJ19gsQteoQosqAorABwTk93kTv9GLdUiK9/cq56Y1ke7N2tz519Rocl7ML3fdvLNqWzTdtDXe30XLXuybi+h07YTLanbHNa1uW3rePZtn8jirjB2/IdE210WM7R23XrevJs1ee0mYTXNLzT6bVc6bbkq7fR6v7WIfx+/r1ZdDQIndl8NeW1YEFIFPioAsUrL8yFF2o1wkaT76p3asT3gcUjLXrIVwfNTBwR6dn+z0sf9uhKMDxp3b76N6yDhNJapOHrWYd0SZHGP5sHSOcrg8VS5XeL7mELseWxD1SgaPZRunvC/x5qrOHkeNoQkG4Qz8dEueXEkhtRpFZpV2cw/iWH0QpDvsIVY3gRV6tIxnhMTR8Qnt5owPNR4+vGDJUmsldLOWXcnv3WT8sxb+i/ekVl24vfjpuSJwdxAwv91Zv+LxeUDyuhLAyV/9eN7rImBqvzjfXKVeo45q5r3J3l6lnsXzSn9lm4XFouMxSJu6zF+L+8ePQ/o0q/3x9PH/DbPG4u2dORfrSWOvZ68v5tGU24WAErvb9Ty0N4rALUXALm7SvcUXhS83GOlvmAuSOIDmPmKQXe79QRi9tp+eLCnrYtiBbrPHEAVdVOns5Hi3gjc/l/DmpxIO31ZQLXfQoy8SMNB4hGSODr1J6IL8G3b2BP8mme7nXfq8pJyuQXonPuNob0elzrqvj3NfC03qTPbDjFVXjCJBMpfdLmL1yRY2vuXxURLpImMRpXuMIXWGKPdQpE5C1yHKEr9OjPaN4T5PZmzeZzMty7z7s++NvwhMq1fTFAFF4HMjYOjBIlRg9m97ss+WcnyK37yhYPZD0WSfvNeXrSuS97I8kyO77rW3f1dp31vO22fvc7PIXKePtp3Jvtl0U/f0lryp3n5d1h9v3d6xSbl59y6rV+/fFAJK7G4KSa1HEfhqEfBO1tcbpCwliy8h0u7kwnGx/el1yldGErtRgjZzSQZfTaJPu7l2i3Zzxz4c7XVR3q3i8E0Vx2/eUSq3z4DhFXROK+hXqwhW69igIqXQNkZnInWTv0LrJNKceIQTmZ2oV8ZAjU3mDJDORSipozdMH71URhkcOM+w4/ksHq4tM6hwHum1ohOaIFlkEPFVcYQyQnKZpRJ0Ux1iaAJfk2qWZJw+IXLecVv8vWleHCTd5vGm2/NZ5eT+9HuLPyPbhh4VAUXgSyAw+7c6bV6Y/nuXfht1bm9ts/MuOk4vdTBlvHVOzlnz5nub13hjNKuIt65Fe3SVfLbNy8pc1g93XILuJCYfp0YqfZrsn9vO5LzufarzRyNjmax33prtbXOynPfe/Fb17s0ioMTuZvHU2hSBO4/A+CIwOVnL8D5uwp5c0OYDNa3dWSXklcQu+JJHRhBCn5K2RsPP8ASUnJ13UTvz4eRkSGncgKEJGii/Okb5zTFO9w7RLx+QuJ1RBteiimWX+4Aqll16shQK1yVtoxqmYzdnclXp37JKkldjO3XmqPtS6DPkwHBpiPDSiPHmwkhuxLH5KIWHTzLYeszYc+tpBg0n6YtTmYj2df5gneEJiIqfNnKU7vl8Yi8nKpaG2F1c8OfhftnLBavVTRFQBL4KBMbn6HlDuuq8cNX889oevyfz/+L9Hi97t66mrV3u3G0wuC7O09q4KZTm9W1Wu7PSb6pPWs9VEFBidxW0NK8ioAhMRcDYPUzeGqdyV1vUZy0uYicnzptlITFSObGdGw6ZPiTB67MVabYTRP3cRxLXwN7rQ7zdaWKf+8FeCyeHfbQqfYYmYFbuEsNpiUqVGRK0ZRI4CU2QI8lbZr10dcK/Rr2yT8IlErlT/j321Rh3LoaGL0knKAXEH24gvbmO/OM88o/SWN6MYKkwRCHfwdJyE0sMURBPdBCMiGMV4/BECJzYWLi4WLxk7LpQEgTdFAFFQBG4owjYmd3O67d1GLafl/VP16TLELot95XY3ZYnof1QBO4oAp9+2bILihyDpEJRHqkOOYoyvhxDgA+oAtkMolkdonbcQb1SQ+ukjdrBOY52SzhmaIJKqYLKQQW1kxoG5z2WDlBRM0EqZ1yhxBwrOglLIBZ04u+S9VEaN3Ls5tqU2XX4r4uej1ZvwSCGWQY0SFOdMpNBsriE3KM8Y82tYPNxEStP6Ril4EMk3kcoRF+YAapaBmgvx128WEqQWmGfspxelMox8RZt3me76PJ/i7qvXVEE7h0Ct+M36+2FeQTu/OGezXs43houlrAf/ubnmlf/3bhn1z7bWztue32doxdVbzs32cZ1+qdlPxYBJXYfi5yWUwTuBQLTpEcXJ35jn2EBmbZgXCxjc88/2gVHyou0LozBMIJBV+LMpdDrxtGqh3F8DBy8GmDvxRnevijjdHcfzeMShieHQKOCWK1BGtfCKslZghK4OOuJ0DIuRPVKUbbsUWLHsN/MEaesTgIWJBxi12R6y9dAxy+qk1SxpPOTIkMRbJPESViCwgOGJljNIr5CNyoZ2uGlOtwZay42oJolyRydp/ic3ZA6o2opLyMWV+/4vEjY+5Np3utPe+59ZZKW5Nr7ZD9t61q7IqAIXBWB2/ablflisk/umKbNcebuZBnxyijeGc0m5WQbz2Wvbm6Omuyfbde0/un/2vF6W5I06cdk3yTPeP8Wx2OyHduG1Ond5rU57563Dj3/HAgosfscKGsbisCdRmB8wbj5oXgXFnsuy7OoXMqRu7NKkdR1w1SxDKBy3MbRYYshCfw43PejzMjfR7ttErpznDNkQWdP5G1d0jQfVSzpiZLUrchdYs4tk9hJKHI/qdyQFTdpLVcmqas5ZwmqWEZJ7GLoBPIYpVMIFUJYyoWQKIaQ2whiYyuChw8j2HgUwSpj0CWW/AjFGL/O32RXqV7JIRg31iR3jr2ckdCZQUhsKYvntMXQi67N503Tc0VAEVAE7g4C84nW4nOcIXcXx20JjL0j1/PbtDkXOS7ev0Vqu9k8s/vmxcSeT8fErreL9mx2m5PEctEaNd/NI6DE7uYx1RoVgXuFgLtgeIiYg4AsKXafhESkb1JSFhZbTtQsaS/HsASgPG3QY5iAHu91qLzYGaDXGKFzNkCZKpalN6fYfXmEndfHeLdzhvNjKkvSOYqP0jtRpcxyT1GdMkMaJ2EKxIIuTQInPi47pG2iXCnhBNr82yD5OqHNXIUOTKr0TNkMpIF0AEtrcYYm2MLKk3VsfEdVy4cJLBVBFUxK/dLnSMRqiEQ68FPdEuLNkvXJJqNyMXGSPH/sMmuTvAul997sGmzJqx6l9puv9aq90PyKwP1BwCpcm9/drLnQi8fHzAHuy7l8NJpfg5v3076If46Z5nO04X02Vz33PomrlvXmt+OcVZ833eb1lveeXyWvt5x7fv0a3Lref7F9n3BZ373l9HweAkrs5qGj9xQBRWABBOzLgpA18U4p04oQFnEOIlIr71Ig1YnTEyFzsoc+HAcj2rQ5dnNpJzRBq0bJ3MEQZwctVPZPcbJXxgnt5WqHZbTKdGFSOaEt3SkiJ+coDLukgmHK2SQsQYJ7klc2PEGIvZGwBD4cMFUs7MQJSlMoHclcMBBCMBdFKJPGVi7L4OEFJNYKDE1QxNJ6HrnNJApbYaTzpJtUswwGe5TOiSdLSv38PHekcpfFmuMwv+Bmn4Acdfn8gg9Cm743CFhSJwM2vzv7y7O/xk8Bhcy/3o9F3jbsPG3T5HpWXpvn9h8F1U+J6NUREEwnsf5UOF9l5NPyXq2vkzXItf1ffXWcJmu7eg1aYjoCSuym46KpioAicCUEhKzJYhZCh5qHvR5JT2CAKEMAyNQ/Pvm7pK5DqVy3RyWbIcv2Q2h1AmjWfAxPEED5cITSz4w397qOY0rm9n/aQ23/NXwnRyRuTUrgmvRe2XI8WeZJ10gHSRW7pJUSmqDOf0lStxRt5tLcI1S1FBXLKG3mlmgzR0cowRYCeR9jzCWwspbE2lYaj57msP3tGnLrKUTSQYYmIP0MM1+kDR+DjPsCQ9rNUTLna3O0DFHAdmUbH5+TNOXP7XiRWnQxXmxMU4apSYqAInABgUV/dxcKzk2YJBCS+XbMM3O7fcM3b99c9amI3GLAXQ2PxfqqNGwx7G9DLiV2t+EpaB8UgTuNgCwMQtbCJGlhnFY7qFQaiEeCyBUYRCBOguSzy4JYn1GyR0+WPZK4Spl2ceUay/J+v4vDUgt7b5pUrwRK77o43W9TOtdl0HCWK5NgkbYlqWiZoVSuSGKXp/OTPF9kcqRt9I/Jegb8J7K4Oq8aDE3QwBHv0X0Kmow1NwzlEF5fQY5Bw1PrVK2kNC6/FcPqug95hiYorjFEQTGAeGrI0AR0rCIkjjVJ780IxIjfXplv8rx1yTbt5euSInpbEVAEFAFFQBF4v/IoEIrAoggosVsUKc2nCHx1CHgJx2Jf7WZBINK6Nh2bVCph/PyyjpcvjhGPJfDNdwwBsLHGsAAhuvwf0qMl7eVoklY/FWcndey9OkP5bQXBQR/hfh/H+2WUdsoo75/hrNxEpypSuBDJnPyLUbmSYQYodZMgBTGmiM1cnWkd7hJlruvYzfV4TacoJJMNttkNDRBKj7C8TFJYJC3cymPtmw2sPSki/5Ax51aBZHrI0AQNhCNV9pMhCkIt1tDmcEUiZ7CZ/Ao6eT2OjRdbe+cyjOfXaGuZfvS2d7EdqVno6HVamN6upioCisDVEDCfiEyZyV/k5PXVar5+bm/fpLYv3R93RLejJx+Lz/z52R3lVc+ugspV8l61H9Pye8cs9yfXpc/dn2l9/DrTlNh9nc9VR6UIXILA5KQr15MT7yVVfLhNK7OheKsMYWenh3/71xP8+7+9QYh6jL/6Po//9teb+PY7eo9M0L0IBWAVqlj+/J81/O5f9vD6+Q6aJyVEO3RGMmwh0q7B1zhHttF2QhNE+GJh3KHUSe8Yu46SuiEJXZ/0rkdaJ+qWLR6bvCdSujadn3QpZQuGArSRo4rlZhFbm8sMGJ5HdjXH0ATLDrmLL9MKLztAJEMHKIkR8/ccQudjTSOGJzBhCUQ6ZyV1HwbrnExfkgym4r1NNptn8tq5eaN/FnuWtj832rRWpggoAlMREMm+oQFmFnEl/VOzf2SizDWTv/9Z8/hk3ln5PrIrN1jMIOZWeLfnrsnnI9eLYD/5vASPRcq5uN3k2eQzkbpnP5fJMd9kT7SuyxBQYncZQnpfEVAEFkBAHKfEMexSctfMUcWSPijPmzg/PaHHyipKb4NI0F6tVe/gpNTGm9+f4KffHuP0TYcSOaFqPf4VuVuHNnNDhiWQ8ARdppN08egjfRvQUq5KYlehn8sG004prauS7tVJ8jqBInwZTmdLtPJbomSuEMTKRgTbDBb+6GkC66JyuUaJH0MTBKK0//NRzdJ/BjHt8/u4WPrFyYssmuIMRV7HxBmKHM1COnsBY5YL2+SiNm1JvFBIExQBReArQ+DTkLlJkK7ysn+VvJPtfN7rq825n7dvn6+12/W89Jl8vid/nZaU2F0HPS2rCNxLBLzE5T3x4YyfiDO221YWz34RJpFr4Iff7WLn5QFO9wL46Te0ivPXMWoeMV54Be2jIfrnYScsQZLEbJn0TSznsrSZy9AmLk2KFyF9Y6wDUrg+6dbgPZkb4pjXJwwafuqjCxV/Gv5kEcnNHHIPt7H5bA3FJ1mk14JYWu5zbyOdoVwv1UYk2kOITlBIPVmv8WLpH/vabQmYu5hOKt4s8rgnFz9xHSPf7qWuyXuL1Kd5FAFFQBFQBBQBRUARWAQBJXaLoKR5FIF7hoCX0IyTES+pE1DkmhZ2vh7t05ooMGzAr0jsmmcP0K518fuDdzj78wGGkTfIBw6R6R4g3a2TyIUo31vinqESZZR7hCmUppHkdal8WeadEmVxXUrq2lSPpLUd+gxN0PeHQeM9BDIprOaWEcszPAHDEmQfrKL4aBkbTzLIbcWRzDE0QTSAQJCSuABdgPulj+LFUhyheJ2euCRORmPGY86u/lfqmsTH1GIp49Xr1BKKgCLw9SAwPpvevnHd9v59acQUny/9BLT9yxFQYnc5RppDEfgKEZgkNO4QvaROUi+XNIlMinZtgTOMIj1sbkcQ6OfQOBjh+MUIB29PEWudoIATPKEC5RqpWpQSugjL+KhM2XPs5CQ0AT1XcqfVGymdhCeQtA5afsabC9CJSpZBw3Nh5NeT2HqUw6PvHmD9EUkdwxVE0pTwMa54MEYHKHFK5egwxRfoMs4cA4fTZk4InQkgLiqX87ZxXObnnVbPeHlvjqvX5S0973x2m/NK6T1FQBFQBBSBT43AfZyf7+OYP/X/o8XrV2K3OFaaUxFQBGYiIKqNDXqWbCEUSCBfDKGYDSMTFcVKsaGrkNj58Yi5NkmyIo7kjLHkmFYljRMSd879hJK6U+4NhiYQuzn/EoONr9DRyRrlexsx5DdCWFsbYXUjgIcPYwxPEKHdnIQmYMgEJzSBEFG7qMhRHKBYezlLWe39mYPRG4qAIqAIKAKKgCKgCNw5BJTY3blHph1WBD4tAiJZshRIWlpc0iSESQKVs/xIwndHMPTRYwrVIIfDIkkcnamwtkM6QRF1SAkkIP4n6caE5G6EM9rgNfy0pwsOESnEkS5GGZpgDRtPN7DxC1G1jCG3wtAEyR4isTqi0XOEGTzcH6YnS9ZkpHJX6S8b1k0RUAQUAUVAEVAEFIGvBAEldl/Jg9RhKAI3icBsMmfI28W2xLZMppMYSVYcvWEC7WEHzUEUp8MhZXlpWs4VqHwpkeckRMGIcrog/9KyjkVjuT7SK35sbKaxtF5AaiWH5EoWqXwaGUrrshtAKtdFLCnx5tq0mRMHKB34fFS1fO8IhSe6KQKKgCKgCCgCioAicG8RUGJ3bx+9DlwRuCkEhiRoAVZGBcthCI2aH6WDNt6Vmiift6lmGeKdHA59AVKxJIajBiV0A8eOLuhPoVCI4MmvB3jwfRDP/ksCj+jVcqmQQDjDWkN0dBJswkepHItzpwMUSvV8rMkQOpH72VAFNzUerUcRUAQUAUVAEVAEFIG7h4ASu7v3zLTHisAXRsDYqFl1TSPdExVMRpxrR7C3V8O//vsb/P5PZ6hUSfr8a4gGEwilsxiMAoxlR8co/RGqQzo8Ca1j9ZssNv82jmd/78eTJ2fIFvp0fNli0HBR1GREc2eTNh0lz/fXtnW5NP15f0MPioAioAgoAoqAIqAI3EsElNjdy8eug1YEBAGva/7rkCOJ0yaByYMolwf40/Mj/Pa3P2C/dIZoZhkPtjLYWl/GUjSIwKiPFvPtHvawU+qh6zuDLzJAMJnHUpFql4UoovE6/EEJSyBeM0UyZzZvJLjZqqI2tx4VAUVAEVAEFAFFQBG4Xwgosbtfz1tHqwi8R8BL6iRJrhcld6asz5N/RElcoznC27dNvPzxGDs77zAKDPDs+1X89V/m8P2vNpBLUWVyuIx2a4TnL7v4v/96iB9f7qNy/hxvd5dwWNrCykocMRJAOOEJvP2xEjo5Kq0jCLopAoqAIqAIKAKKgCIwhoASuzE49EIRUAQ+BgGR2Pl8MTo2YXDw+CZWi0eIJbr4q79ax1//1zC++a6LRKxHiV0LHTpUWdpOwZcKMFRBD+WTKpZzA8TiPYSCDIDglxAFQuoMmRsPKK6k7mOej5ZRBBQBRUARUAQUga8fASV2X/8z1hEqAjeMgFeSJlX7ESDfSiSCeLidw6CfRL4QRjLVwbNnWcadC5LkHcEfMJ4sw6MY1rZX8XfRIlbo8bJ8HMfmgx7JXxLpdA/BoMSdk4DiVkrnPZP2dFMEFAFFQBFQBBQBRUARmERAid0kInqtCNxDBFwKNX3ws+VkVqWTseUiLSwtNfDNUx/y+QJisQ4JXoTx5iQsgZC69x4sfT3EUy2sB6OIxwOo17JIZLrIZQesQ0ij5KM3zAtduZgymWXaOC4vNVmLXisCioAioAgoAoqAInD3EFBid/eemfZYEbgBBIRAGVJmyNCkFO4qTQgJo5TNV0c40kcmG0AiPUTA33U8W/p8olopEjhpY0DK1kHQdwpftI1cPoSl5Q7zdlhWJHXiBXNcFXPSpk6JGiHSTRFQBBQBRUARUAQUgQkElNhNAKKXisD9QeA6ZG4SJYkl16JkrotweMS4dXYTsibU0ZWlGZJXI5lrIBChbZ6TVfoiu5vPOnOZTuSu4uzFaUD/KAKKgCKgCCgCioAi8FUjoMTuq368OjhF4KYQsCqXUt80QiiETEicELzJbVp+kcNJ/kU2b9tXzT+97UVq0TyKgCKgCCgCioAioAjcJQSu+sZ0l8amfVUEFIEFELhIxLyFRKLmThNG9ibByK0c7jLidNl905Zbn63X9sFt26aY4/R6vX2VfJPX43XolSKgCCgCioAioAgoAl8PAiqx+3qepY5EEfhoBOaTu8uqnUayhJBNS79Yl5C6m9yuN5ab7InWpQgoAoqAIqAIKAKKwOdDQInd58NaW1IE7gkCVsomRy/NEgq3GNm7J0DpMBUBRUARUAQUAUVAEbgxBJTY3RiUWpEi8DUiYImYJWv2enKs9r6kC5kzhG6E4IczY4Mn92fVIffs5q3PpulREVAEFAFFQBFQBBQBRWAWAkrsZiGj6YqAIkAErKKkdXTilcBZ8mWJmiVzQ/QGQzQbXfS6DHsQDiERDSEUFos3b3kDsJti67sMeNvetHxyz1vPvLzTymuaIqAIKAKKgCKgCCgCdxMBJXZ387lprxWBW4LAOHESGlhvdFDaP8Kf/vQSu7tHWFkt4tfff4uN9SJSqfAY7braIMbbml120Xyza9A7ioAioAgoAoqAIqAI3DUElNjdtSem/VUEPisCrjztYrOWQImETPL5MRgOcVqp4Q9/+An/9E//ghc/vsajx9u8N0KUUrtYooiw30rUbHlbs7229226HhUBRUARUAQUAUVAEVAELkNA36AuQ0jvKwKKwAcELtI87xQSQK8PHBxW8PzPP+O4fMpyAVROz/Cc0ruD0hH6PVHpvFiLacDWZQneh2Z5Mi3Ne9+ei8zQ7jZNj4qAIqAIKAKKgCKgCHz9CNg3qa9/pDpCRUARuBEEhJZ5d1Opn9RrhHa7T2J3ip3XB/AFwnjy9BGi4QTe7h5iv1RGv9NjdiFess2bfrxEzntuSupfRUARUAQUAUVAEVAEFIFxBOa9WY3n1CtFQBFQBGYgMCJZ6w0GqNVaKJPYHVfqyGQy+PWv/wLLuSWc12qU4FVwXm+iS3VNV6bmnYImCZxcT6bN6IAmKwKKgCKgCCgCioAicM8R8L5V3XModPiKgCLgIiBTg93d1Flno9EI9VoDpb0DHJ9UEAz4USzm8c03D7GxkYc/AFSpkrm/X2a+NomdqdsSPCvDm1X/4ukXZYmLl9WcioAioAgoAoqAIqAI3F0ElNjd3WenPVcEPhECk9PC5LW3WSNRGw4HdJpSxYuff8Jp9QwrK3lsP1hHPp/B5uYK1lbzTK/hzz/S9u64hv5I6hy3tbs5cuftn54rAoqAIqAIKAKKgCJwPxCY98Z2PxDQUSoCisC1ERgOR46k7sXzV6jSK+bGxioeP9lCLpfG9vYatrbW0ajV8eLFDk7KVYwGMvX4P1jbXbsDWoEioAgoAoqAIqAIKAL3HAENd3DP/wPo8BWB6yFAHUvSs3a/Rxu6KuPWlTAcBvBgcwvbD7cdOzup/+DoFH/80xvUGNfu+PQcXXrHDAX1u9L1sNfSioAioAgoAoqAIqAIuAjom5WLhZ4pAvcWgY+zdQuQ0vnQ6vdROaqiTGLXbPUQicRQKK6hkFtHPJ5BLruK1cIGYpGE4zXz6PAMJ8cVdLpdljbqmNYy7voP4ONGcv12tQZFQBFQBBQBRUARUAS+LAIqsfuy+GvrisAXR+CibZvYzXm/+cz2TDmkrVz9vI2dNyWGNCihw3AG/QGDlFMqJ9I7f9CHwaBDNc0apXQmHMLeuxLzv0MiGWYohPiEpZ21u7vYqy8OlHZAEVAEFAFFQBFQBBSBW4yAErtb/HC0a4rAl0BAKJXvQ5gBryzNS7aMjRxoW3dWreP589f44Q8vsbvzDnt7ZcdRytJSEj4fAyEwz/l5nUTvHfr9ESLhEFbEqcqDPKV5XmJnSd2XGLW2qQgoAoqAIqAIKAKKwN1GQInd3X5+2ntF4BoITJfKjdMrL5kbb0ru9Bnm4KzawOs3uzg8OGTKkDZ2bbzb28HBvtRkykucuwElefD7cXh4iJ9f7+Bvqr/AYJiHj2lum7Olg+Ot65UioAgoAoqAIqAIKAKKgBcBJXZeNPRcEbg3CLikztAvuV6UVEleyvRI6pqNNtUsxWbuHMlkHH/zP/8Sj7Y3qYIpeUjqmMdwu4Cjormze4A//vFHVI6P6UTlDK1mF/FkBMEPqp+2X4v25d48MB2oIqAIKAKKgCKgCCgCcxFQYjcXHr2pCNwPBFyJ2eLjFecn5cMKJXAnpIQ+PNxexz/+77/F//ibv0I0EiKfM9I6UyOdrHSG+M3/+wG1ehWddhtlSvjKR2tYD60gGDHeNRdvXXMqAoqAIqAIKAKKgCKgCHgRUGLnRUPPFQFFYAEEhhTE0WkKpXWv3uzQpm4fy0spBiIvMsxBEal0BCG/TC1W6ia00Q9yPayv5/Hd0228e7ePt3slFArLWMqm6TEzwjxCBE0ZSwk/hnCyEt0UAUVAEVAEFAFFQBG4dwhYvad7N3AdsCKgCMxDQKYGu1/MN6KKZaddx9udHRwdlpAvZvGrXz1FNp91HKYAPRYavN/7PFKm5x8yYHkKv2S+wkoWB4cHeP1qFy0SREvkLrZ01RShgna/alnNrwgoAoqAIqAIKAKKwN1FQInd3X122nNF4BoIWGmarcJ7PTktTF6bMgPGr6s36uj1upTWFfDtLx9TcpeG3zdNzjak35QRljIJfPvttpO/1+1RLZNhEFjP5KbUbBIRvVYEFAFFQBFQBBQBRWA+AqqKOR8fvasIfMUIeMnc1YYpYQziyRi+ffYY2VwWvyCpK+SWGZw8JG5VWNnFuiUYeSwaYPDyZXz3i2/QZ1y75fwykonE1RrX3IqAIqAIKAKKgCKgCCgCFxDwjUb/fHNaUBeq1wRFQBG4ewhMk9C5RM1OGL3hEI1aGz1K3GKxBGLxMAKOGqS4UnHzu+M39dJCD81WF81mE8FQhIHK4wj7xXmKlBP1zetu3v5P68d169fyioAioAgoAoqAIqAI3DYE/sHxcHDbeqX9UQQUgVuMgFW0DHP6CGfS7KmQMnF9IqTM0D75a/PJPbMJyfLznw/JWIx7nLn978vJPeNH82K598UXOnhJnRSQayV3C0GnmRQBRUARUAQUAUXgTiOgqph3+vFp5xWBT4GAIWBuzfOIkUvITH4rzzMUz5K0EcmczyF9pu6RQ7YkxS1vpXzTSaHbGz1TBBQBRUARUAQUAUVAEbiIgBK7i5hoiiKgCCwk5XIJnxA4l9K58FmSZkidTbflRHYnm70WKZ+VuLlpttTlR1v28pyaQxFQBBQBRUARUAQUga8NASV2X9sT1fEoAncOAUvIPobMyWBt+Ts3cO2wIqAIKAKKgCKgCCgCN4YAiZ3v/9xYbVqRIqAI3FsErNrlIgC4kjlvbuNAxaQsWttlpE7I4qJ1efui54qAIqAIKAKKgCKgCNwdBHx0Wf7/AWTMfemRCckNAAAAAElFTkSuQmCC" width="401" height="316" /></td>
</tr>
</tbody>
</table>
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9F+FLXDeIn0qa8cRWX8PG5L9HzgPiD/Y4P4atOl4peKWTVMXOnNLmyrwqy3EQ9pg8+Tl/R2VN+F/hZj87klS4o4yo1skyaV17bB1OIuHY/2zjofxYwnkXhbxRTwNOrTlSp5jHx4lf2ebcBSVL6nooor+Rj+cQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoor5x/aB/a/8A2W/2U9H/ALc/aN+P3wq+Dlq9s93ZWfjjxlo+k+INZhRirf8ACO+FWuX8T+JpgQ3+jeH9I1K5ISRhCVjcr7OQcO8Q8V5tg8g4WyLOeJc9zCp7HAZLkGV47Oc2x1V7UsHl2XUMTjMTUf8AJRozl5GdWtSoU5Va1SnRpQV51Ks406cV3lObUUvVo+jqK/lA/ar/AODsn9kP4bjUtC/ZT+E/xD/aR8QQ+bDaeL/EyyfB74XuxISG9tG1uw1T4j6qkeHml0+/8C+FDMgiji1SJpZJLb8oZf21v+Djn/grU5tv2dvBXxG+D3wd8ROYrXVvgl4af4B/DgWbEiSZf2hvHup2/inVpYbU51Gy8N/EiT7SrjyPDwe5t7Zv9GPDv9lJ9J7P8ip8ceMUuAvor+G0eSpi+MvpDcW5fwPOnR5faVYU+GZzxPEGHzCNJOVLBcQYTh6FeUXBYuHLJx+RxfHGS0qrw2X/AFrPMZtHD5TQniU3eybrJKk433lSlVa/lP7eP2kP23P2SP2Q9IfWP2k/2hPhf8I1+zm6ttG8TeJbRvGGqwABi+geBNL/ALQ8a+ItqlWZdC0DUXVWUlQGUn+bf9qr/g7a/Zx8Etqegfsi/Anxz8cdYi863tPHnxMvF+FXw+87J8nUtN0GKDXvHviKxwAXsNXsPh5esWKieMLub5s/Z1/4NLfiN411hPHn7eP7Wx/tTWLsap4l8KfBSDUPGPi3VprplnuW1X4w/Eyygt7fWeXjvZU+Hviq3kuC0kGqXMSLLP8A0ffsq/8ABGf/AIJvfserpmofCv8AZl8E63410wwzR/Ez4sQN8V/H/wDaEIAGq6dqvjT+1NP8J37KArf8INpPha0+8VtFaWZpP0OPDX7Jz6Na5uJ+MfFj6dviDgrKeTcF4PEeEvgxDHUvf9ljM5rYqhxJjcMqiUY5hked8UZbi6fKqmWqMqsI8vtuOs4/g4fA8MYSW1TEyjj8xcX1jTSdGMrbwq06E4vaezP5Gm/ab/4ORf8Agrsfsvwe8OfEz4PfBnxJJ+71H4UaJJ+zP8J00ydlE8kfxn8W6nZ+OvF1hHbMo1DSdI+IHiZ7uFnji0GZrn7PJ9e/sy/8GkOr6zqEHjL9un9qu5vr/UZzqOveBvgFaT6jql9eXTm5nk1L4xfEvTHeW6eRtmorD8Mrt7iV53ttd4juZP7ahxwBgDgAdqK+c4p/aw+MeTZLi+C/oteGfg/9EDgTEx9lLB+E/B2UYvjLHUbOPNnnGudZdNZhmHK9M5wGQZPm/PzVfrntZKcdaHA2X1KkcTneMzDP8UtebH4ipHDxf/TrDU5+5C//AC7lVqU7actj83/2VP8Agkf/AME8f2NBp998Ev2ZPAEPjHTjDLF8S/HlnL8TfiUt7FsLX+n+L/HUuuX/AIamndElmtvB/wDwjul+YqmLT4gqgfpBRRX+cHHPiLx/4n57X4n8SONuLOPeI8TdVs84x4gzXiTNZxcub2f17N8Vi8RCjF/w6EKkaNOKUacIxikvr8NhMLgqSo4PDUMLRW1LD0YUYevLTjFX7tq76sKKKK+NOgKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArw79pX49eDP2YPgP8Uvj54/uobbwx8MfCOp+I7mKa4S1bVNQhjEGh6BbTyAol94i1yfTtEsWceWt1fxPKViV2X3Gv4av+C+P7df7Sv7RXj/AMOf8Eo9N+BmpeBvi7d/HSNLnRvCnjG28W6B8a/Bvie5CfAXW/DPiEaXolzYRav4X1mU+M9A8QaVbNo/iqa4DRtDoVtK3799HHwB4i+kP4iZdwjlGMyzKsjwOJwWa+IPEWYZxkuXR4L8PMPXdTi3jzE4TNMwwVbFZJwnlFHEZhnOLw0KuGy2LwjzKrhKGKp1j6jgzB5VjuJcupZ3TrYjK8P7bMMVl2GWIWLz6WCh7TA8J5bUw1KtWp5zxjmcsDwrksqVKtUhmWcYeuqNSnQqpelf8G/PwA8b/tnftiftAf8ABVj49wy61I/ivXo/h/dalaFba68c+IzM5n0uCQvBa2XhLw1dG9j0pYhFpVxrngq70uVDp7Bf7S6+Tv2Hf2X/AA9+xx+yz8Hv2fNAtdOhn8EeFLBfFd3pbyz2ereOdSiW/wDF+p211cW9rd3Onya3PdWuiNd28Nxb6BaaVYtFElokSfWNfP8Ajr4mPxY8TM/4qwuCllHDWHjl3C/AXDftqdelwp4d8IZdhuGuBeGqVWi/YVp5RwzlmXYbG42il/amZLG5rW58Tjq1Sf0/i1xbR4q4srrLsVRxuR5FDEZTlONw2FngMNm06mY47N8/4loZfUSq5dS4t4pzTPOJ8NlNS/8AYOBzXCcPYZwwGUYOjSKKKK/IT8wCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivG/jJ+0R8B/wBnjQf+Em+Onxh+HHwl0Ro5ZLa78feL9D8NPqRhALwaPZ6neQX2t3pyFjsNItr29mdljht5JGVT25dluY5vjcPluU4DG5pmOLqKlhMBl2Fr43G4qq9VSw+Fw1OrXrVHZ2hTpyk7aIunTqVpqnSpzqzltCnCU5v0jFNv5I9kor+WP9r7/g6R/Z6+CvjG20j9mj4JeMf2qvB1p4c8SP4n8fzz+MPgt4c03xhDe6TB4WstJn8X/DXU7/WfDs8B1x9c1c6TYgSnRzorX8ElxI/5H3n/AAVD/wCDgz/gqtdXOi/sa/CfxZ8Jfhfq08umrrPwE8FnwhoUMe9otmt/tNfFC78jSdZtmWUzT+FPF/geWTy28vSgYyp/0O8KP2Xf0l/ELh2jx/xnV8NfAHwvjCFXM+P/ABv8QeH+EsFk656vtMFmuQUMTmPFGTZysPSWLo5ZxJk+Q+2w9fCVpYmjh8RGvH57P8+hw7iqWX47K88eZYikq+FwCyjHUa2LoOTpxxOGliqOHp4jCurGdL6xh51oe0p1YK86cor+5L48/tSfs4/su+G28WftEfG/4ZfBvQzBLPazePvF+jaBe6uIt2+Dw9o13dLrXiS+JRxHp2gafqV/MyOsNs7KwH86P7VX/B1/+xf8Ll1LQ/2X/hr8Rv2nPEtu0sNp4j1OOT4O/CyRs+WtzFqniXTNS+IWoCF90ps3+HWkQ3kaqkWsQed58Xwb8Bv+DU39ov4x+JF+Jn/BQf8Aa7Fjq+tTxX3iPQ/h5ea18XvihrKttD2+u/Ff4h/Y9H0jWI137rq20L4jWIxGEnlDMY/6Lv2Vf+CHP/BM79kVtN1TwN+zh4c+IPjjTVjZPiP8dH/4W34ra7hGI9TsrPxLDJ4K8M6mnO288GeEPDUoLMRya/Uf9RP2U/0b/e478TfFP6cPHuC0qcMeFmXVPC/wejjI++8JmfFeMxtLP8ywalFU4ZzwlxFmlCtTlzTyqMpyhh/C+tccZv8A7rgsDw3hZbVsdNY3MOXbmhQjF0oS6unXpQa6T0u/5WZf+CgX/BxV/wAFZ5ZLD9lj4e+Nvg38JNZke2i1r4E+GT8HPBi20jFEnuf2kviTqqa3LqlnaSmS8h8GfEDR2uci4t/DYlNlEn0Z+z5/wadfF34k6z/wsX9vz9rqaPXdbuV1DxJ4Z+EY1H4h+OdWaVMMdZ+MXxKihs7TWYlWOO4aLwN40tHO5INUkjjSWT+4OKKOGOOGGNIYYUSKKKJFjjijjUIkcaIAqIigKiKAqqAAAABT68biD9qz4m8LZTjOEfoleD/gz9D/AIOxVP6vOr4ccJZVn/iHmOG25eIePeIstlDN8VyqPJmkOHMDm9Ka9pDMFOFKVLSlwPg69SOIz7MMxz/ERd0sZXqUsJCX/TrC0p/u4/3PbSpvrF3d/wArP2V/+CKn/BNb9kJ9O1X4a/sz+D/FHjbTiksXxH+MSyfFrxol7GxMepaZP4yGoaD4V1FEPlC58FaB4aPl7gylpZmk/VCNEiRIokSOONFjjjjUIkaIAqIiKAqoqgKqqAFAAAAFPr8/f+Ckv7YPir9iv4BeH/iP4K8PeD9X8T+N/i94D+D+la78SrzXLH4WfDuXxsus3EnxD+J9x4aik8QL4I0CDQ5YdTGkPDftc6jY+RI7f6PP/ndxz4leJ3jJxGs98SePeMPETiTFTdKGbcZ8SZrxDjacakub2FDEZvi8VLCYWFkqeFwzpYejCMadGjGEYQXuY3E5Nwpk+NzGrRo5flmXYeeJxP1TDJWhTS1VOjBOdSTaim95PmnNR5pL9AqK/FK0/wCChv7QXgf9in9pP9pD462/7N9xF8FvE/w40rwT8ef2StU0n9qb4E/Faw8a+NfCfhPWIvDnw3f9oX4UeObTWvBl94hg0jxDZ+OPih8PJo5NYsvEWjWfiG10a50HWPXPjp/wV7/Zn/Z4+N/xW+B3xD8D/tBtffBHW/hDpfxR+I3hn4Z2XiT4U+DNL+M2gaLr3hzxd4h8Vad4qe80Pw1pp8RaJomqtrWi6druoeINQj07wZofiwQXc9v8h/ZGPc5U6VH6xKMqkWsO1VV6SwjlaUfdbTxuHg4J+0hOfJUhCSseL/xEHhWlhqWKx+YrKKFahg68JZtTeBmo46eexoKdKq/awjKHDmbV4YicFg8RhcM8ThMTiKD51+qNFfnH8L/+Co/7M3xI+HH7SXxN1Sx+LPwf0j9lKHQNQ+LehfGn4eXXgnxlY6F4z0y51b4fa/pPhiPUNW1C9sfiJa2rjwZZXS6f4g1SSawE2i2cep6dJdfOfgv/AIKi6f4a/Z0/au8dax4O/am8f/Fn4BeHNS+NWg/Bz42/s96R8DfjNqPwa8ba2NN8B+ILvTPCd3ceGPEfwn8Fao+oy+NPjBomjaRf+HPhhol14g8Q+D9V1vSJtR8VqOU5hJzj9WqRnTq0KLhKLi+fEez9n7zXs1G1ai5SlOMVGtSle0kzSrx9wnSjhqqzjCVaGKwOZ5hTr0atOolhsp+tLFt0FP65Opz4DMaVKjRw1WpUq5djaXKqlCUT9qKK/FnwJ/wWd+Hy/CD9l/xX8X/2bP2s/DPxF/aS0rxXp3hLwl4a+B0monx/4w+Hnwt+Fvj3WdX+EPh9/G174v8AGXwv+Jur/FHSvDHwQ8WWNjqMWv3lrqU3i6Xwno2lXmv1734V/wCCinw8h8S/tq6r8Ub/AF3wD8PP2Tfh9+zL8RPEWjeKvhI3hLxd4Ns/j98KZPiDaeG9X1+w+MvxCb4keMrm+ks9CfQrP4ZfCU+D/Eci+Ere5+JZuU8VW5PKMwp83Phprlvy8q5/aNYqng2qbp8yk/rFSNPonLRPmcYyWG4/4SxnsPq+cYaXtXD2vtZfVngozyLE8SRnjVivYujH+x8JVxbSU5xpJ1JRVGnWqUv0ror5B/ZI/bV+Fv7Yum+PpPA/hj4qfDrxZ8Ltb0bRvH3ww+Nngo+APiT4YTxRoy+IfB+s6l4dXU9Zhj0Txhohl1Pw5eLqLS3tnbzTS21sphMv19XFWo1cPUlRrU5U6kLc0JKzXNFSi/NSjJSi1dSi002mmfS5dmWBzbB0cwy3FUsZgsRz+xxFGXNTm6VWdGrHVJxqUq1OpRq05qM6VWnOnUjGcJRRRRRWR2hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB+bXxG/bU8c+Ef2zfD3wo0nwz4RvP2ZfDHir4TfAj48/Eu8h1p/FnhD9pL9pPw94q8T/BHw1pN9b6tDoFloenJpnwe8KeM9M1TQdR1fWfEP7XfwQvdB1bSLDQPFNtqnl/jz/gjF+y78S/EnxI+MfjPxR8YNZ/a18afEy4+KfhH9sBvGslh8afg1rej6pb3Xwv0T4Yw6Ta6d4B0fwb8L9H07SfDWkeF7nwdd6drOlW98dcW5udQWazzP8Ah0X8PviJ8IfiOfjR8S/j5Y/tKfHXxF4p+M3xM8Z/Cr9sD9rzQvg34b/aF1/WIvE/gfxV4Q+A+m/FzwZ8D/Fmkfs96jovw58O/C+Txp8HIH8SeHfhD4Fv/HWhXGrf2hGf1c8BHxufA3gw/EyPwzD8SD4T8On4gw+CrvU9Q8GxeNzo9n/wlcfhK/1rTdH1i98Mpr329dBu9W0jStSudKFpNf6bY3Ty2sX6fwr4m8X+GdWti/DTizNuFcdjY4DCZ1iso9ngq+bYbK8VSzGhhMXiL1q2Y5BjMyg8RmWRYprJs2WDytZzleM+p4X2WPs+dtz503Sr0k4VakGqWKpuhXpt03C3PRk6cmm5ck6kVJKcubpLOCW2tLW2mvLnUJre3gglv7xbRLu+liiWOS8uksLWxsEubllM062VlZ2iyuwtrW3hCRJYoor8ylJylKTSTlJyajGMI3bu+WEFGEV2jGKjFaRSSSNv67hRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFcB8Svix8L/gz4WvfG/wAXfiN4G+F/g3TUkkvvFPxB8VaH4P8AD9qsUbSuJdW8QX2n2KuI1Zli88yPjCIxIFdeAwGPzXG4XLcrwWLzLMcbWp4bBYDAYatjMbi8RVko0qGFwuHhUr4itUk1GnSpU5znJpRi2TKcYRlOcowhFNylJqMYpbuUnZJLq27Hf0V/PB+0P/wcpfsL/Dg6lof7OmhfE/8AbF8a2hlt4R8NfD134M+F8GoxqSLbW/ip4+stNghtHbaqap4W8MeMrNslo2cKc/kbrv8AwVl/4LRf8FC9Y1LwV+yb4Cs/gr4bmuZNMvLH9m7wDqHxg8faMlwC66f47+OfjO0f4e+ALxk2pba/b2fw+aNsMl0ryrt/qfh/6Gfi9XUsT4iPh7wTy6hQhjMbHxQx2OwfF2DwM+Vxxtbwq4ay3ibxaoYGrCUXQzbHcD4LIJOUfbZxh6SqVqf3XDHhpx9xjlkc+yDhjFvhaVT2X+u+f4zKuC/D6NVazo/8RB41zDh7gyriqcU5vL8NnlfM5pctDBVqkoQl/aB8W/jf8G/gH4UufHPxv+Knw9+Efg+13iXxJ8RvF+g+DtIaVEMn2a3vdevrGK8vZFGILC0ae8uZCkVvBLK6I34NftD/APBy/wDsVeAX1HQv2Y/BfxU/bF8XWrzW0N94M0W6+G3wlivoPke31P4mfEDTbW+EXnfJFf8Ah7wR4l0y6RHmtr2SAwyTfm78H/8Ag3F/au/aD8WW3xU/bn+Nxstdvlgn1HUvif421z9qH43zgMZJ9K1BrnWrX4a+HiHbNnqWleNPHNvauDnR3jjjVv3r/Z8/4Ikf8E/fgJHp91e/Cy4+OniSwVVTXvj1f2vjfT2CYZEX4c2Wm6D8JFFtKPMsrmTwDNqtsQn/ABM5GjRx9FLJvoeeFMl/amYcY/SB4joayoSxOF4L4BhVaXJfJuCM+znPeK8pnJP/AGql4z+GWe0qWuJ4dpVqkaNL6WPBvhdw573G3ihieKcbB+/wz4LZLWxNHmWs8LmHid4iZfkuVZViIfB9Z4b8OvEnKas5XoZhUpwc5/zgeLv+ChX/AAWl/wCCpSa18Mvgr8N9D+H3wi8TSS+GvE3g34C/DSbx5Je6ZPzc+Gfid8eviP8AafB/gy4uwRFJq+k6r8OlMKIkbQsLmSXnv2TP+COf7W37TfjbW7HxfoF38DPAXhPxRrXhjxn8QvHunS3M8mueH9Tu9I1/TPBHh+K7tp/Hd9ZarZ3VnPqdpqdl4UWaC5RvEzXUaWk/93+maXpuiafZ6Ro2nWOk6Vp1vFaafpmmWlvYafYWkKhIbWzsrWOK2tbeFAEihgiSONQFRQBir1fjPil4xYXxArZVRyPw94F8O8nyKjicPleU8G8N5Lk1ONPEzoyqVMfj8Ll8OIuIqz+r03RxfG3EHGGdYWLlh6ed1MM/Zv8Ao3wf+nLxD9HThDjrg7wF8O8h4MpcYzy/EU+JOI+IuJuP+KcDmOEpYjC1c5xjzjFYThDF5nLB1KFHC08l4M4XyKlUofWMwyLNZSpQw/8AOx4t/wCCOf8AwSH/AGQta+Cvx5/av+KvhnRPBfgPW9T0KFP2wfjB8M/C3wW+KvxT17TpNV8JQ+JNO8bQ+FfB2q6l4a0Xw9411HQvh9pfl2XiSxS61Lxfp3iqHwnHLH+l3/BPLwd+y34H+E/jLR/2Mf2ktB/aB/Z0n+Jmu6t8P9E8FfFzwN8aPhz8BrfVLHS7zVfg/wDDnxX4OudXurDwfp+tSaj4j0nwt4g8RavP4bh8QDTdMFppsUQn4H/gonp3xR1b4m/8EwtP+C/jHwD4A+Jdx+3z4y/4Rrxb8UPht4i+L3gXSfK/4Jo/8FFZ9Y/tz4d+FPit8ENf8Q/b9Aj1XTNM+wfFDwx/ZOsXmn65df21ZaZc+HtWxv2NNC+K/h79uX9vCz+Ofir4N/FD4o3Xwj/Yl1LUvip8BvhZ4k+CPgeXw5JdftT2Hh74WeJPhp4k+Lvx11C2+KXgW407W/G2v+LNU+J2t694i8A/F34W6dPZaL4a8NeEtOi4s38VvEjP/D3B8C5zx3nmY8HZZlmDWWcGYnEQnw7ltLAcS5lisJiMtyb6ksBgMzo47Oc2n/buErUc6ng8xxuT1Ks8oxFTDy/iririPPuOeLM1424xzfMuJuLc7xU8TmvEedYzEY/NcdVnRp0+Wti8RVnU+rUqNGjRw2Cio4PC0qNGnhqNKFKnGP6oUUUV+PHlBRRRQAV8pftm/CL4yfGz4I6h4L+BnjL4beFfG6+IvD+tvpfxk+HPhz4nfCX4jaBpdxK+sfDX4jaB4g8PeJriy8L+JYpY5brXvC+nx+LNMudOtP7JvbVJ7pm+raK0o1ZUKtOtBRc6c4zipwjODcXdc0Jpxku6a9NdTjzDA0cywOLy/ESxEKGMoVMPVnhcRWwuIjCrFxlKjiKE4VaU0ndSjJdpKUW4v+dGL/gkF+0Hdfsbft5fCeTXv2YfAXxd/bJ8W/ATXNF+GvwdtviL4P8A2VPhRZ/Bfx14Z8RXsnhqLVdA8ReM7DUfGmm2Gqz6xHb+GLi0/te10O0ikh03fNp3sn7Vn/BMz48fHP8A4ev/APCJeLPhHp3/AA3X/wAMKf8ACo/+Ei17xlaf8I7/AMMxf8I7/wAJ9/wsb+zPAWr/ANkf2v8A2Rc/8Ih/wjP/AAl/2/fB/bP9gbpPK/ZjwP4+8MfETSr7VvC9+buLSPEGveE9bs7iCay1TQvE3hnUptK1vQ9a0y6WO807ULO5hEqRXMSLeadc2Gr2L3OlalYXlz2Ves88zKFZzk4Koq0arUqSVp06mW1IK29ovKcGtbtxjPmbdSTPgYeGHBtfL4YajTxU8HVy+tgozpY+clVw+LwnGmEr1FNJx9pWp8fcR1G6ajThUr4b2NOnTwlKmvxv+Mv/AATL8ZfHXxV/wVbj8U+OPCfh7wX+3joP7IsHwrv9Gl1vVfEnhDxD+zR4Ojhlu/H+i3OjaRpsOl3/AI50vRZrO28PeItcn1Hw3/aBu30e/MNq/hf7JP8AwR+8V/CHwF+1PoPjXwf+yR8LfF3x0/Zm+KH7NPh/xX+ztrH7W3jHUW0j4m6PBZX/AIg8an4+/F/X/C8CQajpukanJonhXwHbX8lxbkWXizTtO+16RqX9AlFRHPMxhQlh41uWlL6teEVZXwtDDYem2k7SvSwlCM1NSTcW0ouUr9dXwx4PxGZ0c3xGW+3x9B51yVq01Uklnua5vnOMjGU4OpQ5MfnuZ1cPLDToVIRrxpznVhRpKH4sfA/9hX9rvSfHP/BL3xN8cvEP7N11Zf8ABP3Qf2gfhtqcfww1T4lvP4n+G3i/9n7wH8IPg9f6ba+LfB0cWo+OrPVPC9/qHxDlur7wtodvbGw1DwxDd3Es2kWWv8Zf+CZnjL46+Kv+CrieKfG/hLQPBn7eOg/sjQfCq+0ebXNU8SeEPEX7NPg1IXu/H+jXOi6Tp0OmX3jrS9Ens7fw94i12fUfDf29rt9HvzDaP+yFFR/bGNVVVoSp05qmqcXCnFKCjmSzZOMXdKSxiU72a5PctY2j4d8NvAyy6vTxuMw1TF1MZWjisZUqTr1KvBkuAqkKtSCpzlSlw5OWHcYuMlXf1lSVQ+PP2RvBv7avh2x+IOuftqfF/wCFfxA8U+JtW0BPBXgj4J+FJNF+G3w20DQdIewv5tN13XvD+i+PvEeteOtQlGt+IYfFV1q1hoV3aRWvhWSy0y5mso/sOiiuCtVdarKq4Uqblb3KNONKlFRiopRhBKK0Su9ZSlec3KcpSf1eXYGGWYKjgqeIx2LjR9p/tOY4zEY/G1ZVas605VsViZzqz9+pJU4XVKhSUKFCnSoUqdOBRXG+G/H3hjxXrfjTw3pF+W8QfD7WrXQ/Fmi3cE1lqWl3Go6Xaa3o96bW4VJLnRtc0u8iu9G1q1E2maiYb+0t7lr7StTtbPsqzlGUXaSadk7NW0klKL9HFpp9U01oddOrTqx56U4VIc04c0JKUeelOVOpBtNpSp1ITpzjvCcZQklKLSKKKKRYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVzXi/xp4O+Hvh7UvF3j7xZ4a8D+E9Hh+0av4n8X67pfhrw9pUGQvn6lrWtXVlptjDuIHmXNzEmSBuya3w2GxOMxFDCYPD18Vi8VWp4fDYXDUqlfEYivWmqdKjQo0oyqVa1Wcowp06cZTnNqMYttIUpKKcpNRjFNuUnZJLVtt6JLq2dLRX4VftEf8HDX/BPn4OzX+gfCnXvGv7W/ja1M1uul/s+eH01bwTbXqF0h/tX4u+J7vw58OjpksiESah4W1rxfNChEi6fNuRW/F3xz/wXG/4Km/to+JdQ+HX7GPwh0X4NRzOLZ9J+DXgXWP2rfjrpEVzmISeJPFd74fT4XeCrWaNJH/tXUPAVnBo+ZbhvERFulzH/AEzwt9ETxjzuo5cTZdlvhdhKWGjjsW/ESvmGA4jwuX1GlSzKfhnkOWcReLNbKa970s7w/AdbI7csq2Z0YThOX3vDPhf4gcX5ZHP8k4YxceFXU9lLjfP8XlXBnh/TqRs50p+IHGeP4f4L+tU4PneAhns8xnH+DhKsmov+0Xx98Rfh98KvDGo+Nvih468H/DjwZpEZl1Xxb478S6N4R8NaZGFZ99/rmv3un6ZaLtR2Bnuo8hWIzg1+Hf7RH/Bxn+wN8KX1HQvghJ8Qv2v/ABtZySWi2fwW8OTWXw8tb9Gwqav8W/Go0Hwo2nOM7dT8HJ43j3FVEJAmaH8g/AX/AAQM/wCChn7X/ifTviT+3D8X5PD91JIJW1X9ob4jat+0z8WNMhdlkNtonw58MeIY/hL4bsJY/ltYLL4lWb6S/lxyeHNsBtx+4P7PH/BA39gj4Kpp1/4+8N+Kf2lfEtjHEfP+M+rW8vgWGVV/fQWnwk8IWXhn4fX+lM3FtY+N9H8bXdrGqr/ak0m+aT7SPB30S/C395xbxbxF4z5/h7TeU5JXwOScK+1+CP8AsfCGc59ieLMmq1FN1JVvF3wd4nw1Fe0q5Cqns6Ff6CXCHhdw3rxh4m4ni3Hw+PhvwbyXEV8KprWWFzDxL8QcDkWWZXiIL3frfDHh94m5RVnL9zj6kIuZ+FPiz/gst/wV8/bw1/UfAv7Hfwv074J6S0xs7zS/gD4B1L9pH4taLHdkobTxt8U/EWhj4ZeBEaGSJIPEDeFvCJsp3Nyurxs9v5G78M/+DeP9uD9qbxRZ/FT9uf41DRNcuyr3OqfG/wAdaz+1P8Z7e23iWfS18OaZ4jsfhP4bs5FWKHS5dJ+I+vRaUAPM8OtFZxWdz/aP4T8H+EvAWgad4T8C+FvDngvwto8IttJ8NeE9D0zw5oGl268LBp2jaPa2enWUKgcRW1tEg7LXR1jjvpkcQcOYLFZJ4IcG8MeDWUYijPCTrcJYGnlWcYjDcrp+xxuc5Z9V4m4myzEwcp4nIfFbijxWwsW40ljKsIVJ4iF4l5PkEo/8Q68NeDuFa1J/uuJOJsNDxU45k73jX/tjjjC4vhTIsyo2Xsc28POAuAcbTlzVITjNxcPxt/Z8/wCCE3/BP34Hw6fc+J/AOtftD+I7Dyyup/HTVoNf8NLgEvax/Cvw5YeGPhTdackhzaR+IfBviHUraOOJH1a4kEs0369eH/Dvh/wno2n+HPCuhaP4Z8PaRbraaVoPh/TLLRtG0y0Qkpa6fpenQW1jZW6lmKw20EUakkhRk1sUV/LXEXG3FnFfLDiDPswzDC0q9TFYbLHVWGybA161/bVMtyPBxw+UZY6rcpVI5fgsNGcpTnKLlOTfwvEvFnFPGeZyzvjDiTPuKs4nTVGWa8R5vmGd5j7GNuSgsbmWIxOIjh6aUY0qEaio0oRjCnCMIxiiiiivljwAooooA8i+NH7P3wF/aR8LWHgf9oj4I/CL49+CtK1+18V6X4P+NHw18G/FLwtpvimx07VdIsvEth4f8caLruk2ev2ek67rel2usW9pHqNvp2sarZRXKW2oXcU174R/BL4MfADwkngD4D/CL4YfBPwJHf3WqR+CvhH4B8KfDfwlHqd6sS3uop4b8G6To2jLf3a28C3V4tkLi4WGISyOI0C+n0Vp7at7L2HtansVLnVHnl7JS/m9nfl5vO1/MVle9lfa9tfvCiiisxhXzz48/ZO/Zu+KHinUfG3xB+DPgbxb4s1ZLKPU9f1jSVuNSvl06xt9MsRcziRDL9l0+0tbOEsMrbwRR52ooH0NXBfFH4l+EPg58PfF3xQ8e6l/ZXhLwTot1resXSRNcXcscAVLbTdLskIm1PW9YvpbXSNB0i1D3usazfWOl2MUt5dwRPrRnXjUisPKrGrNqnH2MpRnJykrQXI03zS5bLq7dbHDmFDLq+FqSzWhg6+Dwyliqn1+jRq4eiqNObliJKvGVOHsqTqN1HZwg56pNnhPiD9mn9jXxDrnhD4ZeI/hn8HtQ8U+G/At/deC/At6ulf8JPYfDjTPESLqeo6RoH2tNZk8J6b4q8Vww3uppbS6ZZa34iht5rmK81SOObC8R/sZ/sL+D9D1LxN4t+CvwZ8LeG9Gtzd6v4g8RwWGiaHpVqHSM3Opatqd7a2FjbiR0QzXVxFGHdF3bmAP45/Dn4q2tx/wWh/Za+J9x8UNH8Y+If2of2Zfiv4C8caD4f8AEseu+Fvhdqvh6XxR8SvDnwv0S4jnhtks9A0DQPB2iXt/bQ/Y/Gvjy21/xpa6fZXfip7Wx/RP/goz4N/ap8S+Jf2Z/iB+yb4X+Hfxu8Qfs3/EXUvij4//AGa/G/izSvDq+NrfxP4U1/wh8O/GJfVtW0fTba88GX9v421Hwbd6tf2wj8WwW+s6PDqt34XvLGvcqYbFUMTg8NLMq1KOKwrxMqlSvUo0oVOevCVPnnNRip16Hso1qnLFynGpNKLPzHCZ3kmaZPxHnFDg/L8bXyTPYZNSweDyzDZnjq+F+r5PiKWNWHw2HnXxFTDZZmMcfWy3CKrXVHCVMFh5VK0Iyfsv7Hfwo/ZH+E//AAmdz+z74r+EHi3xl8U9d8Q+JvGXiH4d6/4Xv5dbt/DGoafYw6JpOkaBrmtRaT4V+GOl+JvCfhVLCyllNo1/pGq+K7zUfFfie71jVvuSvyo/YN+L2jftWfGj42fHD4jfs9eKP2b/ANrX4L+G/Dv7Mvxa+H+v6lpniC1tPDl9qEvxP0DVNM8S2ug6FqGrp4gaeG5SO7hktLPTLDSZdKudSsdQh1S8+6vib4x+OfhzWLC1+F3wT8N/E3Rp9NW4v9X1j4v23w8ubDVDdXMb6bHpU/gXxObyBbSO1ul1Bb6ENJcSWxtE+ziafz8fRrfXZ06s3LEclOVWVevQspSpxlGMK6mqNSkqbh7KcJKEocrhFRsl9bwxmOXLhzD4zA4enSyr2+Jp4KnlWV5opypwxVSjWqYjK3hZ5lhcbPGwxTx9DEUp16GI9osVVnW9pUfttFfJS/FH9r0kA/smeBVBIBb/AIad084BPJwPhDk4HOBya+gfiR4TvfHvw78e+BdN8Va74F1Hxp4L8U+E7Dxv4XlWDxL4OvfEeh32j2virw7O+Fh13w9PeR6vpEzELHf2du7YANckqLpygpzppTdnKFWlW5VpdyVGc2rJ3SdnKzUbtO3v0cxp4qliJ4XD42dShDmVLFYDHZY603Gbp06U8yw2FhNzlDllKLlGk5RdVwUo37IMpLKGUlCAwBBKkjIDAcgkEEZ6jmvlzWP2JP2TNf1bVNd1n4A/DjUNX1vUb3V9Vv59EUz32palcy3l9eTFZVUy3N1NLNIVVVLucKBxX5cP+zHD4I/at/YT8I/szX1lp2o/slwt4e/bS/aYtdK0D4ead8RdH8Q6X4X0rwz8GfiDdeHIdP0r4mfFb4jatO2rReELz+3tZ8EnxJovibVLyDU/Fmn3uqfqN+1d+0Jo/wACvBmiaenivw14U+IHxT1o+Cvh7qnimSNtD8OXLwfaPEXxG8QWjsv2vw38OdEMmu3VlI9rb+I/ED+F/Aaajp+qeM9KnrvlhquHq4eGBxdWcsXTc2oKph5wjGpUUXVjCc5KEqUFio81pKjUjOUEmnL5ajnOCzXBZvieJchweGo5DiqdCMsTUwua4XEVauCwdWtHA4jEYbD0516GYV6mS1vZKVCeY4SrQpYmpONSFHlNA/ZB/YS8Tf8ACTad4X+DPwM8QzeFvEx8MeMI9Cs9F1fUPDXizTNMtdTfwv4hnsLq4v8ARNZs9J8Safqk/h3UJbW4js9Z07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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
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  </question>
 
 <!-- resourceid-resourcedataid: 20838-16289 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.61Q  Punt mitjà</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #003300;"><span style="font-weight: bold;">Determina </span><span style="font-weight: bold; font-size: 13.6px; line-height: 1.4;">les coordenades del punt mitjà del segment AB amb A(#a_1,#a_2) i B(#b_1,#b_2).</span></span></p>
<p><span style="font-weight: bold; color: #006600;"><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta: </span></span><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #006600;">[-5/2,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="color: #800000;"><strong>Si no es demana de justificar-ho, les coordenades del punt mitjà també es poden calcular amb la semi-suma de les coordenades dels dos punts.</strong></span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#v_42</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;13&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;0&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mn&amp;gt;13&amp;lt;/mn&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mn&amp;gt;5&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mn&amp;gt;13&amp;lt;/mn&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#v_42
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">Si M és el punt mitjà, es compleix que AM = 1/2 AB <br />Un cop calculat el vector AM, el punt M és l'extrem del vector AM: <br />coneixes les seves <span style="color: #ff3300;">components </span></span><span style="font-weight: bold; color: #0033ff;"> i el seu <span style="color: #ff3300;">origen</span></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20839-16290 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.62Q  PuntSimètric</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Determina les coordenades del punt simètric de A respecte a B amb «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»A«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math» i «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨»B«/mi»«mo mathvariant=¨bold¨»(«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»,«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b_«/mi»«mn mathvariant=¨bold¨»2«/mn»«mo mathvariant=¨bold¨»)«/mo»«/mrow»«/mstyle»«/math».</span><br /><br /><span style="color: #ff3300;">Format de la resposta:</span> </span><span style="color: #006600;"><span style="color: #000000;">[-5,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#v_42</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;14&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;12&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;36&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;16&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;32&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mn&amp;gt;16&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;32&amp;lt;/mn&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#v_42
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">Si M és el punt simètric, es compleix que AM = 2 AB = (#v_1, #v_2)<br />Un cop calculat el vector AM, el punt M és l'extrem del vector AM; coneixem les seves <span style="color: #ff3300;">components (#v_1, #v_2)</span> i el seu <span style="color: #ff3300;">origen (#a_1, #a_2)</span><br /> <br /></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20840-16291 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.63Q PuntSimètricEnunciatDiferent</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Si el vector que uneix A i B és la meitat del vector que uneix A i C, quines són les coordenades de C amb A(#a_1,#a_2) i B(#b_1,#b_2)?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta: </span></span><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #006600;">[-5,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#v_42</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;19&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;*&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mo&amp;gt;-&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;4&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;10&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;14&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;v_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;12&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;36&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_1&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;m_2&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;16&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;32&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;v_42&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfenced close=&amp;quot;]&amp;quot; open=&amp;quot;[&amp;quot;&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mn&amp;gt;16&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;32&amp;lt;/mn&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/mfenced&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#v_42
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Es calculen les components del vector «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AC«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#183;«/mo»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AB«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«/math».</strong></span></p>
<p><span style="color: #000080;"><strong>Es calculen les coordenades de C fent servir que C és l'extrem del vector AC</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20841-16292 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.64Q  4tVèrtexParal·lelogram</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #006600;"><span style="color: #003300;">Determina les coordenades de D en el paral·lelogram ABCD amb «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»A«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»B«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»C«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math»</span></span></p>
<p><span style="font-weight: bold; color: #006600;"><br /><span style="color: #ff3300;">Format de la resposta:</span> </span><span style="color: #006600;"><span style="color: #000000;">[-5,3]</span></span><span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;rang&lt;/mi&gt;&lt;mfenced&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v1&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;u1&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;v2&lt;/mi&gt;&lt;/mtd&gt;&lt;mtd&gt;&lt;mi&gt;u2&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0033ff;">Si D és el quart vèrtex, <br />primer calculem les components del vector BA (#v1, #v2) que és equipol·lent a CD;<br />El vector CD és doncs (#v1, #v2), i D és l'extrem d'un vector (#v1, #v2) que té per origen (#c1,#c2)<br /><br />#W<br /></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20842-16293 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.71Q Centre i radi d'una circumferència</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #003300;">Quin és el centre i el radi d'una circumferència de diàmetre AB amb  A(#a1,#a2) i B(#b1,#b2)?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span></span> centre: [-5,3] radi: 3/5<span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mi mathvariant="normal">e</mi><mi>n</mi><mi>t</mi><mi>r</mi><mi mathvariant="normal">e</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>R</mi><mi>a</mi><mi mathvariant="normal">d</mi><mi mathvariant="normal">i</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;/mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;u1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;u2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="‖" open="‖"&gt;&lt;mi&gt;u&lt;/mi&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;tauler&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;centre&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;punt&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;amplada&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;altura&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;V1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;mostrar_etiqueta&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;cert&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;V1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;mostrar_etiqueta&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;cert&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;V1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;mostrar_etiqueta&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;cert&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;V1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;dibuixa&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;S1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;circumferència&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;a2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;c1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mi mathvariant="normal"&gt;e&lt;/mi&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mi mathvariant="normal"&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mi mathvariant="normal"&gt;d&lt;/mi&gt;&lt;mi mathvariant="normal"&gt;i&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">El centre és el punt mitjà de AB.</span></strong></p>
<p><strong><span style="color: #000080;">El radi és la meitat del mòdul del vector AB.</span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20843-16294 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.72Q DividirSegmentEn4</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="font-weight: bold; color: #006600;"><span style="font-weight: bold; color: #003300;">Troba les coordenades dels punts que divideixen el segment AB en 4 segments iguals  amb   A(#a1,#a2), B(#b1,#b2)?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span></span><span style="color: #ff6600;"> </span>{[-5,3],[3,2],[6,3]} de més a prop a més lluny de A<span style="font-weight: bold; color: #006600;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol 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open="["&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mspace linebreak="newline"/&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><strong><span style="color: #000080;">#V1</span></strong></p>
<p><strong><span style="color: #000080;">Si el primer punt és D, D és l'extrem d'un vector d'origen A i de longitud igual a 1/4 del vector AB.</span></strong></p>
<p><strong><span style="color: #000080;"><strong><span>Si el segon punt és E, E és l'extrem d'un vector d'origen A i de longitud igual a 1/2 del vector AB.</span></strong></span></strong></p>
<p><strong><span style="color: #000080;"><strong><span><strong><span>Si el tercer punt és F, F és l'extrem d'un vector d'origen A i de longitud igual a 3/4 del vector AB.</span></strong></span></strong></span></strong></p>
<p><strong><span style="color: #000080;"> </span></strong></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20844-16295 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.73Q ValorDe_m_ 2VecDependents</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">Per quin valor de m, els vectors (#x_1,#y_1) i (m,#y_2) són dependents?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> nombre enter o fracció simplificada.</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
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    <defaultgrade>1.0000000</defaultgrade>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>r</mi><mo>_</mo><mn>33</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;7&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;r_33&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;/mrow&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;·&lt;/mo&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;33&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #0000ff;">Si són dependents, cal que el determinant sigui 0.</span><br style="font-weight: bold; color: #000066;" /><span style="font-weight: bold; color: #0000ff;">Es calcula el determinant en funció de m:</span></p>
<p><span style="font-weight: bold; color: #0000ff;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»D«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»x_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#0000FF¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»y_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#0000FF¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»-«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»§#183;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»y_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#0000FF¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#0000FF¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#0000FF¨»d«/mi»«/mrow»«/mstyle»«/math»</span></p>
<p><span style="font-weight: bold; color: #0000ff;"> i es resol Determinant = 0. </span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20845-16296 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.74Q VectorPerpendicularUnitari</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div align="justify"><span style="font-weight: bold; color: #003300;"><span style="font-weight: bold;"><span style="font-weight: bold;">Troba els components d'un vector unitari (de mòdul 1) perpendicular al vector</span> «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mover mathcolor=¨#003300¨»«mi mathvariant=¨bold¨»v«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«mfenced mathcolor=¨#003300¨»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»x_«/mi»«mn mathvariant=¨bold¨»1«/mn»«mo mathvariant=¨bold¨»,«/mo»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»y_«/mi»«mn mathvariant=¨bold¨»1«/mn»«/mrow»«/mfenced»«/mrow»«/mstyle»«/math» </span></span></div>
<p><span style="font-weight: bold; color: #009900;"><br /></span><span style="font-weight: bold; color: #009900;"><span style="font-weight: bold; color: #009900;"><span style="color: #ff6600;">Format de la resposta:</span>  </span></span>[2/3,-1/3]<span style="font-weight: bold; color: #009900;"><br /></span><span style="font-weight: bold; color: #009900;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol2</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;és&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;perpendicular&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt; &lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/comment&gt;&lt;/maction&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;k1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math 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xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x&lt;/mi&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mfrac&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mfrac&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="]" open="["&gt;&lt;mrow&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mfrac&gt;&lt;msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msqrt&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;correctAnswer id="1"&gt;#sol2&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic" correctAnswer="1"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080; font-weight: bold;">Anomenem (x,y) el vector demanat</span></p>
<p><span style="color: #0000ff; font-weight: bold;"><span style="color: #000080;">Si els vectors són perpendiculars, el seu <span class="nolink">producte escalar</span> és zero. </span><br /><span style="color: #000080;">Cal doncs resoldre: (#x_1) · x + (#y_1) · y = 0</span><br /></span></p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Del producte escalar se'n dedueix que el vector és [x,#k1·x].</strong></span></p>
<p><span style="color: #000080;"><strong>Calcula el seu mòdul, i divideix els components pel mòdul per tal que sigui unitari.</strong></span></p>
<p><span style="color: #000080;" data-mce-mark="1"><strong>CAL SIMPLIFICAR</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20846-16297 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.75Q TriangleRectangle3Punts(paràmetre)</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="font-weight: bold; color: #009900;"><span style="color: #003300;">Per a quin valor de m, el triangle que determinen els punts «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»A«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»B«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»C«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»,«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#003300¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»)«/mo»«/mrow»«/mstyle»«/math» és rectangle en A?</span><br /><br /></span><span style="color: #009900;"><span style="font-weight: bold; color: #ff6600;">Format de la resposta: </span><span style="color: #000000;">enter o fracció simplificada: -5/2</span></span><span style="font-weight: bold; color: #009900;"><br /></span><span style="font-weight: bold; color: #009900;"><br /></span></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mo&gt;{&lt;/mo&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;}&lt;/mo&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;b_1&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;x_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c_2&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mi&gt;a_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;x_2&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;p_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;x_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;x_2&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;y_1&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;y_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;resol&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;p_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;mrow&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;v_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;p_2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;-&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;81&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mfenced close="}" open="{"&gt;&lt;mtable align="center"&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mn&gt;27&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/mfenced&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;27&lt;/mn&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff; font-weight: bold;"><span style="color: #000080;">Si el triangle és rectangle en A els vectors <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AB«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mi»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mi»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»y_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»1«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»)«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mover mathcolor=¨#000066¨»«mi mathvariant=¨bold¨»AC«/mi»«mo mathvariant=¨bold¨»§#8594;«/mo»«/mover»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»(«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mi»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»x_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»,«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»#«/mi»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»y_«/mi»«mn mathvariant=¨bold¨ mathcolor=¨#000066¨»2«/mn»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»)«/mo»«/mrow»«/mstyle»«/math»</span> són perpendiculars, </span><br /><span style="color: #000080;">i el seu <span class="nolink">producte escalar</span> és zero. </span><br /><span style="color: #000080;">Cal doncs resoldre: (#x_1) · (#x_2) + (#y_1) · (#y_2) = 0</span><br /></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20847-16298 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.04.5.81Q PlaInclinatVectors</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><em><span style="color: #003300;" data-mce-mark="1">El mòbil blau es troba sobre un pla inclinat que forma un angle de #aº amb la horitzontal:</span></em></p>
<p><em><img 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" 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<p><em><span style="color: #003300;" data-mce-mark="1">El mòbil està sotmès al seu propi pes, P = #P N.</span></em></p>
<p><em><span style="color: #003300;" data-mce-mark="1">El vector P es pot escriure com la suma d'un vector paral·lel al pla, i d'un vector perpendicular al pla.</span></em></p>
<p><strong style="color: #003300;"><em><span data-mce-mark="1">1. Quin és el mòdul de la força F?</span></em></strong></p>
<p><strong style="color: #003300;"><em><span data-mce-mark="1">2. Quin és el mòdul de  la reacció del suport S<sub>2</sub>?</span></em></strong></p>
<p><strong style="color: #003300;">3. Recorda que si una massa m està sotmesa a una força F, pateix una acceleració a tal que F = m·a. </strong><strong style="color: #003300; font-size: 13.6000003814697px; line-height: 1.4;">Si m = #m kg, quina és la seva acceleració? (arrodonida)</strong></p>]]></text>
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    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.2500000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>a</mi><mo>)</mo><mo>|</mo><mi>F</mi><mo>|</mo><mo>&#x000A0;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>b</mi><mo>)</mo><mo>&#x02009;</mo><mo>|</mo><msub><mi>S</mi><mn>2</mn></msub><mo>|</mo><mo>&#x000A0;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn><mspace linebreak="newline"/><mi>c</mi><mo>)</mo><mo>&#x000A0;</mo><mi>a</mi><mo>&#x000A0;</mo><mo>=</mo><mo>&#x02009;</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>3</mn></math>]]></text>
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    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="ca"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;12&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;sin&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;S2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;cos&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;S2&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;1000&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol3&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a3&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;P&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;70&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;53.623&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;54&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;45&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;m&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;0.8&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol3&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;67&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;|&lt;/mo&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mo&gt;|&lt;/mo&gt;&lt;mo&gt;&amp;#x000A0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;#x02009;&lt;/mo&gt;&lt;mo&gt;|&lt;/mo&gt;&lt;msub&gt;&lt;mi&gt;S&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msub&gt;&lt;mo&gt;|&lt;/mo&gt;&lt;mo&gt;&amp;#x000A0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;mo&gt;&amp;#x000A0;&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;&amp;#x000A0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;&amp;#x02009;&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
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width="200" height="207" /></p>
<p><strong><span style="color: #000080;">Fem descomposició del pes (AB) en dues direccions: una paral·lela al pla inclinat, l'altra perpendicular. </span></strong></p>
<p><span style="color: #000080;"><strong>Considerem el triangle rectangle ACB rectangle en C. L'angle BAC és el complementari de l'angle α, i val doncs (180º-α).</strong></span></p>
<p><span style="color: #000080;"><strong>És per això que l'angle ABC és igual a l'angle α ja que 180º - (180º -α) = α</strong></span></p>
<p><span style="color: #000080;"><strong>Per determinar F (costat oposat a l'angle ABC) sabent la hipotenusa (P) i l'angle, només cal fer servir el sinus:</strong></span></p>
<p><span style="color: #000080;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»sin§#945;«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8201;«/mo»«mfrac mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»P«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»F«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»P«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»sin§#945;«/mi»«/math»</strong></span></p>
<p> </p>]]></text>
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width="205" height="213" /></p>
<p><span style="color: #003300;"><strong> </strong></span></p>
<p><span style="color: #000080;"><strong>S<sub>1</sub> i S<sub>2</sub> han de ser iguals ja que el mòbil es manté sobre el suport.</strong></span></p>
<p><span style="color: #000080;"><strong>En el triangle ADB, l'angle ABD és 90º-α (complementari de ABC) , i l'angle DAB = α (tercer angle del triangle rectangle ADB).</strong></span></p>
<p><span style="color: #000080;"><strong>Si emprem l'angle α, S<sub>1</sub> és el costat adjacent i P la hipotenusa, i per tant:</strong></span></p>
<p><span style="color: #000080;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»cos§#945;«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfrac mathcolor=¨#00007F¨»«msub»«mi mathvariant=¨bold¨»S«/mi»«mn mathvariant=¨bold¨»1«/mn»«/msub»«mi mathvariant=¨bold¨»P«/mi»«/mfrac»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8658;«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold-italic¨ mathcolor=¨#00007F¨»S«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msub»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»S«/mi»«mn mathvariant=¨bold¨»1«/mn»«/msub»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»P«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»cos§#945;«/mi»«/mstyle»«/math»</strong></span></p>]]></text>
    </hint>
    <hint format="html">
      <text><![CDATA[<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»F«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»m«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#183;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#8660;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mfrac mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨»F«/mi»«mi mathvariant=¨bold¨»m«/mi»«/mfrac»«/math»</p>
<p style="text-align: justify;"><span style="color: #000080;" data-mce-mark="1"><strong>Com que F = #sol1 N, i m = #m, n'hi ha prou amb dividir per calcular a.</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20848-16299 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.4.4.71Q Angle entre forces</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p> <strong style="color: #003300; line-height: 1.4;">Una força de #n1 N té una direcció que forma un angle de #a1º amb l’eix horitzontal. Per sota l’eix horitzontal tenim una força de #n2 N; quina ha de ser la seva direcció si el cos al qual s’apliquen les dues forces té un moviment horitzontal.</strong></p>
<p><span style="color: #ff6600;"><strong>Format: </strong></span>arrodonit</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.3333333</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
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<p><span style="color: #000080; font-weight: bold;"><span style="font-weight: bold;">Si la suma dels 2 vectors és un vector horitzontal, és que la suma de les components verticals (en verd) dels vectors és nul·la, i que per tant les components verticals són iguals i oposades.</span></span></p>
<p><span style="color: #000080; font-weight: bold;"><span style="font-weight: bold;">Posa les dades de l'enunciat amb els cursors, i fes que el vector resultant (negre) sigui horitzontal (ordenada =0)</span></span></p>
<p><span style="color: #000080; font-weight: bold;"><span style="font-weight: bold;">Es poden calcular les components verticals dels dos vectors amb el sinus de l'angle.</span></span></p>]]></text>
    </hint>
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" style="display: block; margin-left: auto; margin-right: auto;" width="287" height="188" /></p>
<p><span style="font-weight: bold; color: #000080; line-height: 1.4;">La component vertical del vector vermell és #f1 = #n1 · sin#a1.</span></p>
<p><span style="font-weight: bold; color: #000080; line-height: 1.4;">La component vertical del vector blau és #n2 pel sinus de l'angle que ens demanen. </span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20849-16300 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.4.4.72Q Forces làmpada penjada</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p style="text-align: justify;"><span style="color: #003300;"><strong>Volem penjar un llum a una certa distància del sostre d’una habitació. Per fer-ho, agafem una corda, hi lliguem el llum i la clavem pels extrems en dos punts del sostre separats per una distància de #d centímetres, de manera que els angles entre la corda i el sostre són de #A1<sup>◦</sup> i #B1<sup>◦</sup> a cada un dels extrems. </strong></span></p>
<p style="text-align: justify;"><span style="color: #003300;"><strong>Si el pes de la làmpada és de #n N, quina força exerceix cada fil, CA i CB (arrodoneix a la unitat)</strong></span></p>
<p style="text-align: center;"><img 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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mi>C</mi><mi>A</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>1</mn><mspace linebreak="newline"/><mi>C</mi><mi>B</mi><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mn>2</mn></math>]]></text>
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    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;24&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;A1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;B1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;30&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;15&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;B1&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;A1&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;CA&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;sin&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;A1&lt;/mi&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;CB&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;sin&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;B1&lt;/mi&gt;&lt;csymbol definitionURL="http://.../units/degree/angular"&gt;°&lt;/csymbol&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;CA&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;CB&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;A1&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;B1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;36&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;46&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;25&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol1&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol2&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mspace linebreak="newline"/&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="precision"&gt;8&lt;/option&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 </quiz>
