<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - Maple 2021 Posts and Questions</title>
    <link>http://www.mapleprimes.com/products/Maple/Maple 2021</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Sat, 11 Apr 2026 22:01:33 GMT</lastBuildDate>
    <pubDate>Sat, 11 Apr 2026 22:01:33 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>Maple 2021 Questions and Posts on MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - Maple 2021 Posts and Questions</title>
      <link>http://www.mapleprimes.com/products/Maple/Maple 2021</link>
    </image>
    <item>
      <title>Why does GUI execution hang?</title>
      <link>http://www.mapleprimes.com/questions/242003-Why-Does-GUI-Execution-Hang?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;It hangs are v(x) := for some reason.&lt;/p&gt;

&lt;p&gt;NULL;&lt;/p&gt;

&lt;p&gt;q := x -&amp;gt; v1*Dirac(x - a1) + v2*Dirac(x - a2) + v3*Dirac(x - a3);&lt;br&gt;
NULL;&lt;/p&gt;

&lt;p&gt;V := x -&amp;gt; -int(q(x), x = 0 .. x) + Ra + Rb*Dirac(x - L);&lt;br&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`+`(Units:-Simple:-`+`(Units:-Simple:-`-`(MTM:-int(q(x), x&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;= 0 .. x)), Ra), Units:-Simple:-`*`(Rb, Dirac(Units:-Simple:-\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; `+`(x, `-`(L))))) end proc&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
NULL;&lt;/p&gt;

&lt;p&gt;M := x -&amp;gt; int(V(x), x = 0 .. x) + Ma + Mb*Dirac(x - L);&lt;br&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`+`(Units:-Simple:-`+`(MTM:-int(V(x), x = 0 .. x), Ma),&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;Units:-Simple:-`*`(Mb, Dirac(Units:-Simple:-`+`(x,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;`-`(L))))) end proc&lt;/p&gt;

&lt;p&gt;theta := x -&amp;gt; 1000000000000*(int(M(x), x = 0 .. x) + `&amp;amp;theta;a` + `&amp;amp;theta;b`*Dirac(x - L))/(E*S_mm);&lt;br&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`*`(Units:-Simple:-`+`(Units:-Simple:-`+`(MTM:-int(M(x), x&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;= 0 .. x), `&amp;amp;theta;a`), Units:-Simple:-`*`(`&amp;amp;theta;b`,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;Dirac(Units:-Simple:-`+`(x, `-`(L))))), 1/(E*S_mm*10^(-12)))&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;end proc&lt;/p&gt;

&lt;p&gt;v := x -&amp;gt; int(theta(x), x = 0 .. x);&lt;br&gt;
proc (x) options operator, arrow, function_assign; MTM:-int(thet\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; a(x), x = 0 .. x) end proc&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;It hangs are v(x) := for some reason.&lt;/p&gt;

&lt;p&gt;NULL;&lt;/p&gt;

&lt;p&gt;q := x -&amp;gt; v1*Dirac(x - a1) + v2*Dirac(x - a2) + v3*Dirac(x - a3);&lt;br /&gt;
NULL;&lt;/p&gt;

&lt;p&gt;V := x -&amp;gt; -int(q(x), x = 0 .. x) + Ra + Rb*Dirac(x - L);&lt;br /&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`+`(Units:-Simple:-`+`(Units:-Simple:-`-`(MTM:-int(q(x), x&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;= 0 .. x)), Ra), Units:-Simple:-`*`(Rb, Dirac(Units:-Simple:-\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; `+`(x, `-`(L))))) end proc&lt;/p&gt;

&lt;p&gt;&lt;br /&gt;
NULL;&lt;/p&gt;

&lt;p&gt;M := x -&amp;gt; int(V(x), x = 0 .. x) + Ma + Mb*Dirac(x - L);&lt;br /&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`+`(Units:-Simple:-`+`(MTM:-int(V(x), x = 0 .. x), Ma),&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;Units:-Simple:-`*`(Mb, Dirac(Units:-Simple:-`+`(x,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;`-`(L))))) end proc&lt;/p&gt;

&lt;p&gt;theta := x -&amp;gt; 1000000000000*(int(M(x), x = 0 .. x) + `&amp;amp;theta;a` + `&amp;amp;theta;b`*Dirac(x - L))/(E*S_mm);&lt;br /&gt;
proc (x) options operator, arrow, function_assign; Units:-Simple\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; :-`*`(Units:-Simple:-`+`(Units:-Simple:-`+`(MTM:-int(M(x), x&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;= 0 .. x), `&amp;amp;theta;a`), Units:-Simple:-`*`(`&amp;amp;theta;b`,&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;Dirac(Units:-Simple:-`+`(x, `-`(L))))), 1/(E*S_mm*10^(-12)))&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;end proc&lt;/p&gt;

&lt;p&gt;v := x -&amp;gt; int(theta(x), x = 0 .. x);&lt;br /&gt;
proc (x) options operator, arrow, function_assign; MTM:-int(thet\&lt;/p&gt;

&lt;p&gt;&amp;nbsp; a(x), x = 0 .. x) end proc&lt;/p&gt;
</description>
      <guid>242003</guid>
      <pubDate>Sun, 16 Nov 2025 18:08:14 Z</pubDate>
      <itunes:author>JP Howe</itunes:author>
      <author>JP Howe</author>
    </item>
    <item>
      <title>The logarithmic equation</title>
      <link>http://www.mapleprimes.com/questions/241948-The-Logarithmic-Equation?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;Please advise. I have a logarithmic equation.&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;E(&amp;nu;)=E0&amp;middot;ln(1+2&amp;middot;A&amp;middot;&amp;nu;)+Em+C&amp;middot;&amp;nu;^2&lt;/p&gt;

&lt;p&gt;With constant E0&amp;gt;0, Em&amp;lt;0, C&amp;lt;0 and A&amp;gt;0, and E(&amp;nu;) of variable &amp;nu; between [10^4 and 10^13]&lt;/p&gt;

&lt;p&gt;I have 3 points, &amp;nu;1, &amp;nu;2, and &amp;nu;3, and the value of the function E(&amp;nu;) at each point. I want to choose A to obtain the smallest absolute value of Em, preferably ~ -0.00005. The value of &amp;nu;1, &amp;nu;2, &amp;nu;3 and E(&amp;nu;1), E(&amp;nu;2), E(&amp;nu;3) are known.&lt;/p&gt;

&lt;p&gt;With what &amp;ldquo;A&amp;rdquo; should I start to obtain&amp;nbsp; Em~ -0.00005?&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="24DC300C640F240F4FB93835F7B3F4A0"&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Digits:=25;&lt;/span&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(1)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=Em+E0*ln(1+A*3.7653333333333333333*10^(-18)*nu)+ C*nu^2;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.3765333333333333333300000e-17*A*nu)+C*nu^2" height="30" src="/view.aspx?sf=241948_question/743bedb9b72ac371849494bf446ba111.gif" style="vertical-align:-7px" width="490"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(2)&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E1:=subs(nu=5.754173859*10^8,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.2166638263708799999980819e-8*A)+331105167995989518.8100000*C" height="27" src="/view.aspx?sf=241948_question/8017725e71c31ad22bda099f87df30ed.gif" style="vertical-align:-6px" width="680"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E2:=subs(nu=6.338671958*10^8,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.2386721281252266666645538e-8*A)+401787621911355537.6400000*C" height="27" src="/view.aspx?sf=241948_question/cb2e6b26fab38fd057276dbd25d2506b.gif" style="vertical-align:-6px" width="680"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E3:=subs(nu=31*10^9,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.1167253333333333333323000e-6*A)+961000000000000000000*C" height="25" src="/view.aspx?sf=241948_question/9d6e13a70c2ab203e824d594fe9b55ce.gif" style="vertical-align:-6px" width="602"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;solve({E1=3.259,E2=3.59});&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{A = A, C = 0.1414778271842943053715718e-16*E0*ln(1.+0.2166638263708799999980819e-8*A)-0.1414778271842943053715718e-16*E0*ln(1.+0.2386721281252266666645538e-8*A)+0.4682916079800141507799027e-17, E0 = E0, Em = 4.684403973756333877677291*E0*ln(1.+0.2386721281252266666645538e-8*A)-5.684403973756333877677291*E0*ln(1.+0.2166638263708799999980819e-8*A)+1.708462284686653486488817}" height="101" src="/view.aspx?sf=241948_question/ac82a33bf4c80f6db90800712b59ef15.gif" style="vertical-align:-82px" width="738"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;sol:=solve({E1=3.259,E2=3.59,E3=0},{Em,E0,C,A});&lt;/span&gt;&lt;/p&gt;
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					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{A = A, C = .1000000000000000000000000*(3259.*ln(1.+0.2386721281252266666645538e-8*A)+331.*ln(1.+0.1167253333333333333323000e-6*A)-3590.*ln(1.+0.2166638263708799999980819e-8*A))/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A)), E0 = -31821175830670350532464.09/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A)), Em = 0.2000000000000000000000000e-2*(6037915335175266232043.*ln(1.+0.1167253333333333333323000e-6*A)-0.1565949500000000000000000e27*ln(1.+0.2386721281252266666645538e-8*A)+0.1724995000000000000000000e27*ln(1.+0.2166638263708799999980819e-8*A))/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A))}" height="461" src="/view.aspx?sf=241948_question/2c5e3411754fff0665064e20fc4fa5d0.gif" style="vertical-align:-431px" width="738"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;A:=4.19747*10^6;evalf(sol[4]);#Em&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="4197470.00000" height="27" src="/view.aspx?sf=241948_question/74fb6bb7dce4c0f000884d81e80d0a8a.gif" style="vertical-align:-6px" width="172"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em = -0.7291335370248713771647314e-1" height="23" src="/view.aspx?sf=241948_question/4f9adb886b965b157a4c761334e54a22.gif" style="vertical-align:-6px" width="261"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Em:=-0.07291335370248713771647314;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-0.7291335370248713771647314e-1" height="23" src="/view.aspx?sf=241948_question/4595555f44d8c7f7dfcdb5b1bfc1bb58.gif" style="vertical-align:-6px" width="271"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(9)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(sol[3]);#E0&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="E0 = 373.7014139352964920547905" height="23" src="/view.aspx?sf=241948_question/4463d501db945e5c49705bb7c004cfb0.gif" style="vertical-align:-6px" width="229"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(10)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E0:=373.7014139352964920547905;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="373.7014139352964920547905" height="23" src="/view.aspx?sf=241948_question/ed0ee2d721a9b2a79bc50acc177e05f7.gif" style="vertical-align:-6px" width="239"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(11)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(sol[2]);#C&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="C = -0.1549823289304468027271168e-18" height="25" src="/view.aspx?sf=241948_question/4ad697e7ab0fed7ab302c21f75edc355.gif" style="vertical-align:-6px" width="292"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(12)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;C:=-1.549823289304468027271168*10^(-19);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-0.1549823289304468027271168e-18" height="25" src="/view.aspx?sf=241948_question/4e494f0dcc5d4a1eaab38e0172c352c0.gif" style="vertical-align:-6px" width="302"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(13)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=Em+E0*ln(1+A*3.7653333333333333333*10^(-18)*nu)+ C*nu^2;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="-0.7291335370248713771647314e-1+373.7014139352964920547905*ln(1+0.1580487370666666666652675e-10*nu)-0.1549823289304468027271168e-18*nu^2" height="50" src="/view.aspx?sf=241948_question/f92282f77c3946901a9dba42088091b1.gif" style="vertical-align:-31px" width="728"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(14)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(E(nu),nu=10^6..3.1*10^10);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=241948_question/cae10e4a63c56788cf49df7fbbe9cd2e.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(subs(nu=5.754173859*10^8,E(nu)));evalf(subs(nu=6.338671958*10^8,E(nu)));evalf(subs(nu=6.974105195*10^8,E(nu)));&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="3.258999999999999999999993" height="23" src="/view.aspx?sf=241948_question/93ce53572d92dc520cc1d31701dc6cb7.gif" style="vertical-align:-6px" width="197"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="3.589999999999999999999993" height="23" src="/view.aspx?sf=241948_question/8f7156cdaadc185e58bba2917d8ba2cb.gif" style="vertical-align:-6px" width="197"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="3.948288407313424284054632" height="23" src="/view.aspx?sf=241948_question/080bb4e7e395def309682a2484cdab64.gif" style="vertical-align:-6px" width="197"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(15)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(subs(nu=0,E(nu)));evalf(subs(nu=11.4*10^6,E(nu)));evalf(subs(nu=15.9*10^9,E(nu)));#44.5eV @ 15.9Ghz&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-0.7291335370248713771647314e-1" height="22" src="/view.aspx?sf=241948_question/0c22bb2b1e4e550fd3e1da4f873ad217.gif" style="vertical-align:-6px" width="226"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-0.560769863114429190697634e-2" height="22" src="/view.aspx?sf=241948_question/4f9b56681f055034824f04afd414e902.gif" style="vertical-align:-6px" width="226"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="44.52276318342970513246218" height="23" src="/view.aspx?sf=241948_question/ed1a8d0645169277f41188cf42344468.gif" style="vertical-align:-6px" width="197"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(16)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=241948_question/ML.mw"&gt;Download ML.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Please advise. I have a logarithmic equation.&lt;/p&gt;

&lt;p&gt;&amp;nbsp; &amp;nbsp;E(&amp;nu;)=E0&amp;middot;ln(1+2&amp;middot;A&amp;middot;&amp;nu;)+Em+C&amp;middot;&amp;nu;^2&lt;/p&gt;

&lt;p&gt;With constant E0&amp;gt;0, Em&amp;lt;0, C&amp;lt;0 and A&amp;gt;0, and E(&amp;nu;) of variable &amp;nu; between [10^4 and 10^13]&lt;/p&gt;

&lt;p&gt;I have 3 points, &amp;nu;1, &amp;nu;2, and &amp;nu;3, and the value of the function E(&amp;nu;) at each point. I want to choose A to obtain the smallest absolute value of Em, preferably ~ -0.00005. The value of &amp;nu;1, &amp;nu;2, &amp;nu;3 and E(&amp;nu;1), E(&amp;nu;2), E(&amp;nu;3) are known.&lt;/p&gt;

&lt;p&gt;With what &amp;ldquo;A&amp;rdquo; should I start to obtain&amp;nbsp; Em~ -0.00005?&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="24DC300C640F240F4FB93835F7B3F4A0"&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;restart;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Digits:=25;&lt;/span&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(1)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=Em+E0*ln(1+A*3.7653333333333333333*10^(-18)*nu)+ C*nu^2;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.3765333333333333333300000e-17*A*nu)+C*nu^2" height="30" src="/view.aspx?sf=241948_question/743bedb9b72ac371849494bf446ba111.gif" style="vertical-align:-7px" width="490"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(2)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E1:=subs(nu=5.754173859*10^8,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.2166638263708799999980819e-8*A)+331105167995989518.8100000*C" height="27" src="/view.aspx?sf=241948_question/8017725e71c31ad22bda099f87df30ed.gif" style="vertical-align:-6px" width="680"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E2:=subs(nu=6.338671958*10^8,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.2386721281252266666645538e-8*A)+401787621911355537.6400000*C" height="27" src="/view.aspx?sf=241948_question/cb2e6b26fab38fd057276dbd25d2506b.gif" style="vertical-align:-6px" width="680"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E3:=subs(nu=31*10^9,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em+E0*ln(1+0.1167253333333333333323000e-6*A)+961000000000000000000*C" height="25" src="/view.aspx?sf=241948_question/9d6e13a70c2ab203e824d594fe9b55ce.gif" style="vertical-align:-6px" width="602"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;solve({E1=3.259,E2=3.59});&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{A = A, C = 0.1414778271842943053715718e-16*E0*ln(1.+0.2166638263708799999980819e-8*A)-0.1414778271842943053715718e-16*E0*ln(1.+0.2386721281252266666645538e-8*A)+0.4682916079800141507799027e-17, E0 = E0, Em = 4.684403973756333877677291*E0*ln(1.+0.2386721281252266666645538e-8*A)-5.684403973756333877677291*E0*ln(1.+0.2166638263708799999980819e-8*A)+1.708462284686653486488817}" height="101" src="/view.aspx?sf=241948_question/ac82a33bf4c80f6db90800712b59ef15.gif" style="vertical-align:-82px" width="738"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;sol:=solve({E1=3.259,E2=3.59,E3=0},{Em,E0,C,A});&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{A = A, C = .1000000000000000000000000*(3259.*ln(1.+0.2386721281252266666645538e-8*A)+331.*ln(1.+0.1167253333333333333323000e-6*A)-3590.*ln(1.+0.2166638263708799999980819e-8*A))/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A)), E0 = -31821175830670350532464.09/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A)), Em = 0.2000000000000000000000000e-2*(6037915335175266232043.*ln(1.+0.1167253333333333333323000e-6*A)-0.1565949500000000000000000e27*ln(1.+0.2386721281252266666645538e-8*A)+0.1724995000000000000000000e27*ln(1.+0.2166638263708799999980819e-8*A))/(7068245391536601883.*ln(1.+0.1167253333333333333323000e-6*A)-96066889483200401048119.*ln(1.+0.2386721281252266666645538e-8*A)+96059821237808864446236.*ln(1.+0.2166638263708799999980819e-8*A))}" height="461" src="/view.aspx?sf=241948_question/2c5e3411754fff0665064e20fc4fa5d0.gif" style="vertical-align:-431px" width="738"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;A:=4.19747*10^6;evalf(sol[4]);#Em&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="4197470.00000" height="27" src="/view.aspx?sf=241948_question/74fb6bb7dce4c0f000884d81e80d0a8a.gif" style="vertical-align:-6px" width="172"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Em = -0.7291335370248713771647314e-1" height="23" src="/view.aspx?sf=241948_question/4f9adb886b965b157a4c761334e54a22.gif" style="vertical-align:-6px" width="261"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Em:=-0.07291335370248713771647314;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-0.7291335370248713771647314e-1" height="23" src="/view.aspx?sf=241948_question/4595555f44d8c7f7dfcdb5b1bfc1bb58.gif" style="vertical-align:-6px" width="271"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(9)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(sol[3]);#E0&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="E0 = 373.7014139352964920547905" height="23" src="/view.aspx?sf=241948_question/4463d501db945e5c49705bb7c004cfb0.gif" style="vertical-align:-6px" width="229"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(10)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E0:=373.7014139352964920547905;&lt;/span&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(11)&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(sol[2]);#C&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="C = -0.1549823289304468027271168e-18" height="25" src="/view.aspx?sf=241948_question/4ad697e7ab0fed7ab302c21f75edc355.gif" style="vertical-align:-6px" width="292"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(12)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;C:=-1.549823289304468027271168*10^(-19);&lt;/span&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(13)&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=Em+E0*ln(1+A*3.7653333333333333333*10^(-18)*nu)+ C*nu^2;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="-0.7291335370248713771647314e-1+373.7014139352964920547905*ln(1+0.1580487370666666666652675e-10*nu)-0.1549823289304468027271168e-18*nu^2" height="50" src="/view.aspx?sf=241948_question/f92282f77c3946901a9dba42088091b1.gif" style="vertical-align:-31px" width="728"&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(E(nu),nu=10^6..3.1*10^10);&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(subs(nu=5.754173859*10^8,E(nu)));evalf(subs(nu=6.338671958*10^8,E(nu)));evalf(subs(nu=6.974105195*10^8,E(nu)));&lt;/span&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(15)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;evalf(subs(nu=0,E(nu)));evalf(subs(nu=11.4*10^6,E(nu)));evalf(subs(nu=15.9*10^9,E(nu)));#44.5eV @ 15.9Ghz&lt;/span&gt;&lt;/p&gt;
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</description>
      <guid>241948</guid>
      <pubDate>Sun, 02 Nov 2025 17:44:37 Z</pubDate>
      <itunes:author>MichaelVio</itunes:author>
      <author>MichaelVio</author>
    </item>
    <item>
      <title>solve ode equations plot  solution</title>
      <link>http://www.mapleprimes.com/questions/240874-Solve-Ode-Equations-Plot--Solution?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;I want to solve differential equations using dsolve and plot the solution in the range plot(E(nu), nu=10^14&amp;hellip;10^18) of the equation.&lt;/p&gt;

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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;restart;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;with(PDEtools, dchange):&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;N:=8*Pi*Tq^2*nu^2*E(nu)/(c^3*(exp(E(nu)/(k*T)) - 1));V:=Pi*rb^3;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Pi*rb^3" height="28" src="/view.aspx?sf=240874_question/b753d2a7be7bf83739ef29fbe6cbedfd.gif" style="vertical-align:-7px" width="71"&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Et:=dchange({nu=1/t},N*V,expand);#Change of var in t = period of a single oscilation;&lt;/span&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Sol_T:=subs(t=t,(Et)-subs(t=t+Tq,(Et)));#We do the calculus per one period Tq;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi^2*Tq^2*E(t)*rb^3/(t^2*c^3*(exp(E(t)/(k*T))-1))-8*Pi^2*Tq^2*E(t+Tq)*rb^3/((t+Tq)^2*c^3*(exp(E(t+Tq)/(k*T))-1))" height="68" src="/view.aspx?sf=240874_question/074c05116097dd258e1380f1ec168082.gif" style="vertical-align:-35px" width="403"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Sol_nu:= dchange({t=1/nu},Sol_T,params=Tq,expand);# I like to go back to variable nu but is correct???;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi^2*Tq^2*nu^2*E(nu)*rb^3/(c^3*(exp(E(nu)/(k*T))-1))-8*Pi^2*Tq^2*E(nu)*rb^3/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1))" height="84" src="/view.aspx?sf=240874_question/cc4694eda79a3003c96e2a6f37a7c66a.gif" style="vertical-align:-51px" width="416"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;B:=int(diff(Sol_nu,nu),t=t..t+Tq);&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="16*Pi^2*Tq^3*nu*E(nu)*rb^3/(c^3*(exp(E(nu)/(k*T))-1))+8*Pi^2*Tq^3*nu^2*(diff(E(nu), nu))*rb^3/(c^3*(exp(E(nu)/(k*T))-1))-8*Pi^2*Tq^3*nu^2*E(nu)*rb^3*(diff(E(nu), nu))*exp(E(nu)/(k*T))/(c^3*(exp(E(nu)/(k*T))-1)^2*k*T)-16*Pi^2*Tq^3*E(nu)*rb^3/((1/nu+Tq)^3*c^3*(exp(E(nu)/(k*T))-1)*nu^2)-8*Pi^2*Tq^3*(diff(E(nu), nu))*rb^3/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1))+8*Pi^2*Tq^3*E(nu)*rb^3*(diff(E(nu), nu))*exp(E(nu)/(k*T))/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1)^2*k*T)" height="213" src="/view.aspx?sf=240874_question/ef1648349f3fcdabfc54fcde3f257c56.gif" style="vertical-align:-152px" width="738"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;dsolve(Sol_nu=A*B,E(nu));#Where A = constant&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-nu+3*A*Tq*ln(nu)-2*A*Tq*ln(Tq*nu+1)+A*Tq*ln(Tq*nu+2)-A*Tq*ln(exp(E(nu)/(k*T))-1)+A*Tq*ln(E(nu))+_C1 = 0" height="46" src="/view.aspx?sf=240874_question/9ee3397217f0d15d7f3f245747761785.gif" style="vertical-align:-7px" width="710"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=solve(E(nu)=-nu + A*Tq*ln(Tq*nu + 2) + 3*A*Tq*ln(nu) - 2*A*Tq*ln(Tq*nu + 1) - A*Tq*ln(exp(E(nu)/(k*T)) - 1) + A*Tq*ln(E(nu))+C1,E(nu));&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="ln(exp(RootOf(-A*Tq*ln(nu^3*(Tq*nu+2)*ln(exp(_Z)+1)*T*k/(Tq*nu+1)^2)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k" height="57" src="/view.aspx?sf=240874_question/f350ce4f0aff467a841d8cd7227776f1.gif" style="vertical-align:-7px" width="612"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;#E(nu)=??? &lt;/span&gt;&lt;/p&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;k:= 1.3806490000*10^(-23);rb:=5.293*10^(-11);&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;ec:= 1.602176634*10^(-19);Tq:=1.765*10^(-19);&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;c:= 299792458;T:=297;A:=1;&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1380649000e-22" height="25" src="/view.aspx?sf=240874_question/0dcd0ed41b70980a168e364fe3af7b07.gif" style="vertical-align:-6px" width="171"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.5293000000e-10" height="25" src="/view.aspx?sf=240874_question/8c7b7e17eea09c2be42298696af2f2fe.gif" style="vertical-align:-6px" width="178"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1602176634e-18" height="25" src="/view.aspx?sf=240874_question/ebfa574ae198450656769b5b979aa76e.gif" style="vertical-align:-6px" width="178"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1765000000e-18" height="25" src="/view.aspx?sf=240874_question/52efbac6cc3de5a462496b1f7108a33d.gif" style="vertical-align:-6px" width="180"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="299792458" height="23" src="/view.aspx?sf=240874_question/8df0af72f2c0969bf022906f5277a264.gif" style="vertical-align:-6px" width="105"&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="297" height="23" src="/view.aspx?sf=240874_question/cad009d25a21beab6e31da3e84883bf4.gif" style="vertical-align:-6px" width="62"&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="1" height="23" src="/view.aspx?sf=240874_question/2c4bd0b456939e1db8a65eaa79dd8dd2.gif" style="vertical-align:-6px" width="48"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(-nu - 2*A*Tq*ln(Tq*nu + 1) + 3*A*Tq*ln(nu) + A*Tq*ln(Tq*nu + 2),nu=10^14..10^18);#Approx neglecting =&amp;gt; -A*Tq*ln(exp(E(nu)/(k*T)) - 1) + A*Tq*ln(E(nu))&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=240874_question/d824c34b88896f903e24de0f207bcb4a.gif" style="border:none" width="500"&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(E(nu),nu=10^14..10^18);&lt;/span&gt;&lt;/p&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Warning,%20expecting%20only%20range%20variable%20nu%20in%20expression%20ln(exp(RootOf(-A*Tq*ln(nu%5E3%2F(Tq*nu+1)%5E2*(Tq*nu+2)*ln(exp(_Z)+1)*T*k)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k%20to%20be%20plotted%20but%20found%20names%20%5BA,%20C1,%20T,%20Tq,%"&gt;&lt;span style="color:#0000ff;font-size: 100%;font-family: Courier New,monospace;font-weight:normal;font-style:normal;"&gt;&lt;u&gt;Warning, expecting only range variable nu in expression ln(exp(RootOf(-A*Tq*ln(nu^3/(Tq*nu+1)^2*(Tq*nu+2)*ln(exp(_Z)+1)*T*k)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k to be plotted but found names [A, C1, T, Tq, k]&lt;/u&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
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						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
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&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=240874_question/plm.mw"&gt;Download plm.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;I want to solve differential equations using dsolve and plot the solution in the range plot(E(nu), nu=10^14&amp;hellip;10^18) of the equation.&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="850BE11545AC389E4F6E31AE5A31407F"&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;restart;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;with(PDEtools, dchange):&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;N:=8*Pi*Tq^2*nu^2*E(nu)/(c^3*(exp(E(nu)/(k*T)) - 1));V:=Pi*rb^3;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi*Tq^2*nu^2*E(nu)/(c^3*(exp(E(nu)/(k*T))-1))" height="71" src="/view.aspx?sf=240874_question/0fe8898f70d447917abe59dc5b03f94a.gif" style="vertical-align:-38px" width="154"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Pi*rb^3" height="28" src="/view.aspx?sf=240874_question/b753d2a7be7bf83739ef29fbe6cbedfd.gif" style="vertical-align:-7px" width="71"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(1)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Et:=dchange({nu=1/t},N*V,expand);#Change of var in t = period of a single oscilation;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi^2*Tq^2*E(t)*rb^3/(t^2*c^3*(exp(E(t)/(k*T))-1))" height="68" src="/view.aspx?sf=240874_question/d71d488625954ae991f8d8a8c671f7a3.gif" style="vertical-align:-35px" width="165"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(2)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Sol_T:=subs(t=t,(Et)-subs(t=t+Tq,(Et)));#We do the calculus per one period Tq;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi^2*Tq^2*E(t)*rb^3/(t^2*c^3*(exp(E(t)/(k*T))-1))-8*Pi^2*Tq^2*E(t+Tq)*rb^3/((t+Tq)^2*c^3*(exp(E(t+Tq)/(k*T))-1))" height="68" src="/view.aspx?sf=240874_question/074c05116097dd258e1380f1ec168082.gif" style="vertical-align:-35px" width="403"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;Sol_nu:= dchange({t=1/nu},Sol_T,params=Tq,expand);# I like to go back to variable nu but is correct???;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="8*Pi^2*Tq^2*nu^2*E(nu)*rb^3/(c^3*(exp(E(nu)/(k*T))-1))-8*Pi^2*Tq^2*E(nu)*rb^3/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1))" height="84" src="/view.aspx?sf=240874_question/cc4694eda79a3003c96e2a6f37a7c66a.gif" style="vertical-align:-51px" width="416"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;B:=int(diff(Sol_nu,nu),t=t..t+Tq);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="16*Pi^2*Tq^3*nu*E(nu)*rb^3/(c^3*(exp(E(nu)/(k*T))-1))+8*Pi^2*Tq^3*nu^2*(diff(E(nu), nu))*rb^3/(c^3*(exp(E(nu)/(k*T))-1))-8*Pi^2*Tq^3*nu^2*E(nu)*rb^3*(diff(E(nu), nu))*exp(E(nu)/(k*T))/(c^3*(exp(E(nu)/(k*T))-1)^2*k*T)-16*Pi^2*Tq^3*E(nu)*rb^3/((1/nu+Tq)^3*c^3*(exp(E(nu)/(k*T))-1)*nu^2)-8*Pi^2*Tq^3*(diff(E(nu), nu))*rb^3/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1))+8*Pi^2*Tq^3*E(nu)*rb^3*(diff(E(nu), nu))*exp(E(nu)/(k*T))/((1/nu+Tq)^2*c^3*(exp(E(nu)/(k*T))-1)^2*k*T)" height="213" src="/view.aspx?sf=240874_question/ef1648349f3fcdabfc54fcde3f257c56.gif" style="vertical-align:-152px" width="738"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;dsolve(Sol_nu=A*B,E(nu));#Where A = constant&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="-nu+3*A*Tq*ln(nu)-2*A*Tq*ln(Tq*nu+1)+A*Tq*ln(Tq*nu+2)-A*Tq*ln(exp(E(nu)/(k*T))-1)+A*Tq*ln(E(nu))+_C1 = 0" height="46" src="/view.aspx?sf=240874_question/9ee3397217f0d15d7f3f245747761785.gif" style="vertical-align:-7px" width="710"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;E(nu):=solve(E(nu)=-nu + A*Tq*ln(Tq*nu + 2) + 3*A*Tq*ln(nu) - 2*A*Tq*ln(Tq*nu + 1) - A*Tq*ln(exp(E(nu)/(k*T)) - 1) + A*Tq*ln(E(nu))+C1,E(nu));&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="ln(exp(RootOf(-A*Tq*ln(nu^3*(Tq*nu+2)*ln(exp(_Z)+1)*T*k/(Tq*nu+1)^2)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k" height="57" src="/view.aspx?sf=240874_question/f350ce4f0aff467a841d8cd7227776f1.gif" style="vertical-align:-7px" width="612"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;#E(nu)=??? &lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;k:= 1.3806490000*10^(-23);rb:=5.293*10^(-11);&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;ec:= 1.602176634*10^(-19);Tq:=1.765*10^(-19);&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;c:= 299792458;T:=297;A:=1;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1380649000e-22" height="25" src="/view.aspx?sf=240874_question/0dcd0ed41b70980a168e364fe3af7b07.gif" style="vertical-align:-6px" width="171"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.5293000000e-10" height="25" src="/view.aspx?sf=240874_question/8c7b7e17eea09c2be42298696af2f2fe.gif" style="vertical-align:-6px" width="178"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1602176634e-18" height="25" src="/view.aspx?sf=240874_question/ebfa574ae198450656769b5b979aa76e.gif" style="vertical-align:-6px" width="178"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="0.1765000000e-18" height="25" src="/view.aspx?sf=240874_question/52efbac6cc3de5a462496b1f7108a33d.gif" style="vertical-align:-6px" width="180"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="299792458" height="23" src="/view.aspx?sf=240874_question/8df0af72f2c0969bf022906f5277a264.gif" style="vertical-align:-6px" width="105"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="297" height="23" src="/view.aspx?sf=240874_question/cad009d25a21beab6e31da3e84883bf4.gif" style="vertical-align:-6px" width="62"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="1" height="23" src="/view.aspx?sf=240874_question/2c4bd0b456939e1db8a65eaa79dd8dd2.gif" style="vertical-align:-6px" width="48"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(-nu - 2*A*Tq*ln(Tq*nu + 1) + 3*A*Tq*ln(nu) + A*Tq*ln(Tq*nu + 2),nu=10^14..10^18);#Approx neglecting =&amp;gt; -A*Tq*ln(exp(E(nu)/(k*T)) - 1) + A*Tq*ln(E(nu))&lt;/span&gt;&lt;/p&gt;
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			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=240874_question/d824c34b88896f903e24de0f207bcb4a.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
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			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;plot(E(nu),nu=10^14..10^18);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;a href="http://www.maplesoft.com/support/help/errors/view.aspx?path=Warning,%20expecting%20only%20range%20variable%20nu%20in%20expression%20ln(exp(RootOf(-A*Tq*ln(nu%5E3%2F(Tq*nu+1)%5E2*(Tq*nu+2)*ln(exp(_Z)+1)*T*k)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k%20to%20be%20plotted%20but%20found%20names%20%5BA,%20C1,%20T,%20Tq,%"&gt;&lt;span style="color:#0000ff;font-size: 100%;font-family: Courier New,monospace;font-weight:normal;font-style:normal;"&gt;&lt;u&gt;Warning, expecting only range variable nu in expression ln(exp(RootOf(-A*Tq*ln(nu^3/(Tq*nu+1)^2*(Tq*nu+2)*ln(exp(_Z)+1)*T*k)+_Z*A*Tq+ln(exp(_Z)+1)*T*k-C1+nu))+1)*T*k to be plotted but found names [A, C1, T, Tq, k]&lt;/u&gt;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
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						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=240874_question/de2b99e9d2d699b7702b8535bdccc059.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
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			&lt;table style="margin-left:0px;margin-right:0px"&gt;
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						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
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						&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: Courier New,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
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				&lt;/tbody&gt;
			&lt;/table&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=240874_question/plm.mw"&gt;Download plm.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>240874</guid>
      <pubDate>Sun, 12 Oct 2025 16:05:08 Z</pubDate>
      <itunes:author>MichaelVio</itunes:author>
      <author>MichaelVio</author>
    </item>
    <item>
      <title>Plotting problem</title>
      <link>http://www.mapleprimes.com/questions/240040-Plotting-Problem?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;Hi everyone,&lt;/p&gt;

&lt;p&gt;I&amp;#39;m having some trouble with plotting in Maple and was hoping to get some help here. I&amp;#39;m trying to create a plot for a specific function, but I&amp;#39;m not sure if I&amp;#39;m using the right commands or parameters. Here&amp;rsquo;s what I&amp;rsquo;m trying to do:&lt;/p&gt;

&lt;p&gt;To plot the line plot(E3,nu=10^13..4.5*10^18);&lt;/p&gt;

&lt;p&gt;and&amp;nbsp;&lt;/p&gt;

&lt;p&gt;plot(E1(nu),nu=10^13..4.5*10^18);&amp;nbsp;&lt;/p&gt;

&lt;p&gt;you can look around my calculus please advise.&lt;/p&gt;

&lt;p&gt;Could someone please explain what might be going wrong with my approach? Any suggestions or examples of correct usage would be greatly appreciated.&lt;/p&gt;

&lt;p&gt;Thanks in advance for your help!&lt;a href="/view.aspx?sf=229389_post/PLanckPh.mw"&gt;PLanckPh.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Hi everyone,&lt;/p&gt;

&lt;p&gt;I&amp;#39;m having some trouble with plotting in Maple and was hoping to get some help here. I&amp;#39;m trying to create a plot for a specific function, but I&amp;#39;m not sure if I&amp;#39;m using the right commands or parameters. Here&amp;rsquo;s what I&amp;rsquo;m trying to do:&lt;/p&gt;

&lt;p&gt;To plot the line plot(E3,nu=10^13..4.5*10^18);&lt;/p&gt;

&lt;p&gt;and&amp;nbsp;&lt;/p&gt;

&lt;p&gt;plot(E1(nu),nu=10^13..4.5*10^18);&amp;nbsp;&lt;/p&gt;

&lt;p&gt;you can look around my calculus please advise.&lt;/p&gt;

&lt;p data-end="836" data-start="689"&gt;Could someone please explain what might be going wrong with my approach? Any suggestions or examples of correct usage would be greatly appreciated.&lt;/p&gt;

&lt;p data-end="870" data-is-last-node="" data-is-only-node="" data-start="838"&gt;Thanks in advance for your help!&lt;a href="/view.aspx?sf=229389_post/PLanckPh.mw"&gt;PLanckPh.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>240040</guid>
      <pubDate>Wed, 19 Mar 2025 18:56:41 Z</pubDate>
      <itunes:author>MichaelVio</itunes:author>
      <author>MichaelVio</author>
    </item>
    <item>
      <title>performance of simple procedure</title>
      <link>http://www.mapleprimes.com/questions/239995-Performance-Of-Simple-Procedure?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;Dear team,&lt;/p&gt;

&lt;p&gt;Here below you can see a simple program containing 3 loops. The problem is&amp;nbsp; that even for low iterations the execution time seems endless. I kept this program running for over 10 minutes to no avail.&amp;nbsp; &amp;nbsp;Could you help me?&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Here you are the technical details of my HP laptopper&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;img 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"&gt;&lt;/p&gt;

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"&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Dear team,&lt;/p&gt;

&lt;p&gt;Here below you can see a simple program containing 3 loops. The problem is&amp;nbsp; that even for low iterations the execution time seems endless. I kept this program running for over 10 minutes to no avail.&amp;nbsp; &amp;nbsp;Could you help me?&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Here you are the technical details of my HP laptopper&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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" /&gt;&lt;img 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" /&gt;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;img 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xAIpza9QrMuF9QBdIugDkHLkwtCxyefR7IuqG/buhVP1D6Ka0pK1F5Z4T7nAz3yIuxqcmVM5CqJ2ke+eU+89E430UKu1RevdLTYcprWB5PuLyAk54naR7vcrj/bXHlJUUITKAKBQMgleoOgDgCGz/4T5tSOIl0hpPdVFrn+qHhJLXnx5ZzV2hEI2eZB532KTebyr+rmIrmuWSdkBtGsEwiEdOg1wvrugx26wjqBQCAQCAQCgdAX6S3CeuyjSAQCgUAgEAgEAiGnIMI6gUAgEAgEAoGQoxBhnUAgEAgEAoFAyFEMHMcRm3UCgUAgEAgEAiEHIZp1AoFAIBAIBAIhRyHCOoFAIBAIBAKBkKMQYZ1AIBAIBAKBQMhRiLBOIBAIBAKBQCDkKERYJxAIBAKBQCAQchRJWGfsBhjsjNI3ZRjYDRbQrNodAEvDoueXISxtEcrKwG4wwCC7LDQLxs7/7RzxaWs3j6zuXVDXVNCsL2PvRH+mAgO7wY6uzKH7iO/ruPbs9cTXMbPhkeBe7zb0yqDn3s300HNAD/F5ydiV/Z/NZ6Zm/C5/BmUPeRspi6wxpoR6adY5Qzr3/k2ERvlTQPmO1Yofc89mOxAIBG14YZ2lURe2wRau07gpOwnlQJALwkGpPTKEpVHlrUTUbRUczHBFOXAcfwUdFKzuKCq9VVmoizJtKUs9FHXVe8hlH2uFDaGIMiPG54GtIlmBc53ua0N1XwezNmDToavrm+Z4JmRGp595WRwHsuel1S32fQA22VjIxjMz+8+gLLZBMuRtVGGDxycTmtkWhBGC1x8rCNsShrmo820m0ZXv30yIe8cmJmvtQCAQdOkHAKzfC1TWoKYSiodSLsKXtRyJ34MUHLUmOOu7QlORg1BFMHt8Mi03A5/HhozfkwQCoU+Q2vMSnX9m9uJnkKKNqCKYwy0Q34Ks3wuTywVIExEWfHCq820mkGvv39THjEh22oFAIOjTT/7wocorAa9felCJ2g273QKDZPLAgrboLKWzNCxxZgR8GmI8RXjGDoOF5vOTxY1LV0L+oEyC6qGbVRT1bJF5iHVlYDeUwYMQnIWx5U3FMrRUQa02ThOqHJVmDySFEOODx1YB6T2paFsxjyzkKyFowWi7YmmdR2e8JC3TDMzozjbUQ3dcKvOU2oCJhbczwnJyXJto1UN7zOjnnw0S35PxZVSj1n4qf2vH78K+UpN0jMX6TV6eROVOrX9V7ZKgHPH3jPY40C6Tzr0lkcbzEp18ZnbiGdS5NtBLQ/DVjCNH1UZUOSrhBS8z835F5UaYpIkIi0jIBKPYpJ1pM0CRv/L9q39vxo0v9W/d91MG7ZEqnW4HAoGQEC7q4sxmFxflOI7jopzLbOZc/A+O4wKcDeDMkkOUc5nlv5XhIKYTsHGAjQtIfkKaARsHG+/KBwPH/+TjS15RF2cW4ygIcDYpXfE3OMiuWPLqsOmiTlten1g+UZeZg1RWWV0V/6tRh9Nq0/SIusxSGrF25eLLEbAJ4Tqbr7x9hbYSM5X3v6rPhQAplqm72lDd16mMS3WeQhqKe0Dmr7gn5KjrEX//aeefLuo6avePcuxIrjpl1CqvVvnUcTrTV5xGXeSXTtkSjjG98sSXO7X+VcfTL4fmPaOOo0Dmp3lvyQnoPAP10tcLnxqZPoM61QYJ05Cjl158nRXvJaG/Aza9No+PnxaJ3r+696a6LvHtIUZTvp/kqNOQuyd+x8bfa1rxCARCNumnXPKiUF4J1XKWOTbLZv3whmyo1TTGNMPV6ODTsVbAhjBa1NNsawVskoaCgS/sQo0Vgl2gbMmUcqDWFoqtPCZEzw6XQpFZowxpIU/bzWuJ2BaEzUK5AVCOWthUsXRhRO1PGTwKD1kbZ0hMK8OiJWxGkZicYHPpLBS0KWUemW1p5/ONYYZLbBR5/1NFMHvKlBuQOlOmLmtDjXGUdFyq81TfAzJ/9T2hWw8ZSfNPF43xrHdPIsUyJkI3vrrdMkHZXzFbbIG0xpjqd4Jyp9y/IknKoXnPaKFVJq17q1N07pmZ6TOoU20AJE5DN44+kt0644PHZATFNzW8flayV4/RuTZL+P5NdG/qkez9lEF7JL3XgE63A4FASEy/emcIIWehcAMbUOgMAQrbw2xiRY0rjDqaBUvXIZyWXVy6qJYrexqWhqUMCHAcOC4Kl1kdoJOIy7eMH15UQikL2YR8hSvFjUNZgXIgyHFoRBUMiqX6DMrU1W3YXeRUPXTuyc6WsbPxs0KujLEMyiFHr0y691amdPKZ2ZXPIL02SEQmcSBMgsItYFrC0gZZqrwSiPg1TEQ602YMEr9/de7NTMm0PVKiM+1AIBCS0c9jdiEqf4hyUbjktodyBLvEuk5ocnjtSz3qvaaYhp4ywgRZniyNOs3NSWnM3tkWhM1FnXu4aUEZYQo5ISo/WLouNQ0FG0FILA/rhzekDtBZBK1MmVO5OUho2870WTagHEFEXWaEW9jMy9Tlbagi5XGZJqnWo6vyV6F5T6ZURgpFZpmmn/HF7oWU4nchuTLGMi2HnCRlUtxbSp/Un5dAFp6ZXfgMStIGmqQUR6ONqHJUwokyJ2KrA5QRJo8TTrVA2pk2Y3xI9v6N3ZvySUKC+y7R+ynT9kiFzrQDgUBISj9z3GydQnmlWXl8lczPEQzAJNMEpK3NocpRCQ88JtnmI1jhjroQLhOWSQu9qIwKy/QK+JdBSjvm2QhCwhJm5siWbqWNS1a4AzZ4hLJWoVLHDMaKCptsg5S1Bi44UWgwwFAVgSmrWg0eqrwSZvWSvtC2kPWZ9saiLkJadjWg0CkKg6mWqfvbUEmq4zJNdOuhqm/W89cazzr3pG4Z5VBw1MbuBYMPsXshpfhdSapjTEXWy51JOVIc95r3lpw0npfIzjMze8+gFNsgESnF0Woj/h0Is3x1wIoKGwD5pll0rs0YnwdJ37+UA7UmDzymWtlRoAnuu0Tvp4zbIwU60Q4EAiE5Bo7jOLVjTsPSsFQBjUHBdlQTFjQfqBNnHRMIBEIvJ6XnJU7tZ2bKbaSme9qMsRvgq+jG7yKk3R7d0w4EwqlM7xPWAbC0BYWRWl27R8ZuQBkCuv4EAoFwqpDseQnyzEypjdR0S5ulLThnh3Tao1vagUA4xemVwjqBQCAQCH0XFrSlEM6QGa4o0VgTCKc6RFgnEAgEAoFAIBBylH5qBwKBQCAQCAQCgZAbGF588UWiWScQCAQCgUAgEHIQYgZDIBAIBAKBQCDkKIa9e/cSYZ1AIBAIBAKBQMhBiM06gUAgEAgEAoGQoxBhnUAgEAgEAoFAyFGIsE4gEAgEAoFAIOQoxGadkDNs3LhR7dQpLrvsMrUTgUAgEAgEQq+CCOuEnGHjxo2YNGmS2jkj1q1bR4R1AoFAIBAIvR7D3r17uRsXvKp2j6NqWjHmTDGpnTXRSu960wWoveM69O+XueWNVrrp8PbC29ROCtJNP1l6Il2Vbi7xwgsvqJ2Sctdddyl+E2G9exHH5dsLb8NLb4XRuLpZus9T9dPjpseW4cjREwq3Mwefjj0Hj/D/Dzkdew7w/4sMPSMPviduVrip2b5rPy48e6jauVNMeSi9+1PNW8/qt0M6pPucUKPXH5ncm3LU92lX8f333+P777/HRRddpPbKmKPH+TE48LT+aq+M2bx5M8466yycddZZai+Cin379uHtt9/GsWPH1F4AgAEDBuDGG2/EsGHD1F49xp4DR7D6k23Y0PYNvv7+EPr3N+Ds4WfgcuocTLl8DM4amo+X3goDQMoyUTbZuecQBp0+AEPyB6q9ssqeg0fwj7Ut+Hjz1/hy1wEMG5QH09iRuOWGCTCNHakOnjJdle6B9qNY9t5mfND8JbbvOoBhZ2Qn3UzZ9s0+rPpoCz7Z/A2+2XsIAHDO8EG48qJzMOOa8Rh7TnpjXhLW9R70kL1EUhXY1emdOHkSdX9bDwCdEtjl6d644FW8+uuZGDksXx0MAPDdvnbc9vRKRfhEdUSKYURyIWw6HDx4EFu2bMHx48dx4YUXYuTI7A7eF154AXfddRc2bNiAyy+/PO6vGjG8HFFYv8ruUbiny7/dti4V1jmOw0cffYRrr71W7ZUVPvzwQ1xzzTUwGAxqr6ySbKyxO/bgu33tKCk6T+2VNK4orN82yYi7pl+MAaf1Q+uXu/HLhjUAAI9jOgrOG45jx0/iucBn+Of7m5MK69t37cf/t2g1HrvdjOsmxpcpU6Y89CrW/F6/LomY+vCrWRPWT2W+/PJLvPvuuzCZTJrPi0xo+3ovnvl/TQCAR35agoJzh6uDZMSGDRsQDodxww03YMyYMWrvLuWj1q8BANdMODel3z3Jvn37sHr1apw4cQIDBgxAP9V7/+TJkzh27Bj69++PadOmZSywRyIRfPbZZwCASy+9FEVFReogKcFxwKvrIli5nkXZ1eNhLj4f5501GCdPcti55xDWff4l3vz3Vsy2XIQjR0/A0I9LSR7KFoGPt+B602gs/2AzzjlzEC4t+AEi279H6aUXqoN2muYvvsNvGj8Add6ZmHHNeIwbNQzf7W/H51u+xWvrWnDbj4yompp+3bsq3a079+HhpetwVeEoWK8eD+r84di15zA+27ILL7wZxs0WKqN0M+H4iZP4P/9nWPvZF5h5HQVL8fk4f+QQAMBX3x1AsPkrrFzPovTSMfhF+aU4rX9q8nBqoQQaVzdLM8p06N+vH2rvuA4AMO1hL25c8KrmlQ2ylU5fYteuXXjzzTfRv39/DBkyBMFgENFoVB0MEB6gX3/9NT777DNs2LABX375pTpIt/Bvtw22/7lS82+iq6s5ceIE1q5di02bNqm9ssamTZuwdu1anDih1ExnGz1h+3nmP3jzk63453tR/GNtC5oiO/DUK/xkW0QvrpwrC0fhnhmXYsBp+o+ZAaf1wy/KL8NlBWerveK48OyheOx2M57+f+vRFNmh9s4YjgMMhswu8km5ztPc3IxQKIRzz82OgHmS4/Dquy24t2ENtu7ch6079+HehjV49d0WnMxSh5177rloamrC559/rvbqUh5Z+h4eWfpeyr8zpbPvZLmgfvrpp2PKlCmoqKhQXFOmTMHpp5+OEydOYPXq1di3b586maTs2rULTU1NGDZsGC688EI0NTVh165d6mBJ4TjgmX80IbL9eyz5lRU/n1KMgnOHI3/gaRh0+gAUnDscd0+/GO77p2Pjll14P/xlt9/7O74/iL/6N+DCs4fi+ImT+OOyj8FxHDiOH/PZYs+BI6h98QP8tLQIz86bhEmXjAa7Yw/OHnYG7pxmgtsxDas+3ALm463qqAnRSvfCs4fiCuqcTqV7oP0oHln6Hm68fAzKrh6Piy44E/kDT8OYc4bisoKzYZtxKd7e8EXa6WbC8RMn8ejz7+Or7w/gxZoZqJpqwpmD89EU2YGmTTswfNDpqJpqwos1M/DV9wfw6PPv4/iJk+pkNNF/i+rQuLpZ7ZQS/fv1wxNzLHh74W2aV08ifzCpJxB6lzqeFlphk13qeNng448/xqRJk1BcXIzCwkJYrVZs2LBBIQweP34c4XAYy5Ytw6efforPP/8c27Ztw5Ah/IwwFV544QVs3LhR86/66o0cOXIEDMPgtNNOU3tlndNOOw0Mw+DIEaWpSDZRT7yPHj+BA4ePYt+hDix+/VPAwIE6/0z86Z//xpGOE2jvOI5jx/kHizquGgMMsJdfilQWB/oZDPhFeWqrINdNPA+P3X4dnn6lCR+18FrEztKZ509n4qr5bn+72qlLOH78OA4d4pdle5KTJ08iFAph8+bNmDFjRlbMSnbuPgTnX9+BZ9Vn0lgFgGPHT8Kz6jM4//oOdu7ufN3POuss3HTTTWhra8N7773X5RPr3oRaUC8tLZW05vLn/7Bhw1BaWpq2wN7U1IRPP/0UAPDNN9/gtNNOw9lnn438/HwMHToUO3fuBABEo1G88847OH78uCqFeF5+O4yOY8fxxM9/iDPyBqi9AeGZ9+Pfvo6PWr7G1p378HErn09XE972HZ76+3qMHzUcNZXX4EeXjsZN145H/T0/wub/7sHT/2899hzoUEfLmNfea8HF40bilusnSG7vbNyO/353AAAw+gdD8cAtV2MJ83nKgiZ00pWTabrL3tuMKwvPQeCjLfjT8n/jmz2x+/uVdyJoWPkJrFeOx1LmP2mlmwnuNz7Daf374ek7r8eQ/IF448MtuP2Zf+G1dS3wvt+K25/xw/teK4bkD8TTd16P0/r3g/sNflUoGSkJ67kiVHcl6slDqlcy1OHV1+rfV6Le9iP8ovwyPPFzC5bVzkop3XQ4cOCAwuwlLy8PQ4YMwcGDBwEAO3bsgM/nw+7du3H99dcDAC644AKUl5dj+PDUlo7vuuuutK5kXGX3wPOvTzT/Jrq6iv379+ONN97AeeedhxtuuEHtnXVuuOEGnHfeeXjjjTewf/9+tXdWUE+8w1u/wx3PvoGmlh1Y+kAZHrrtWlTPuhx/e/gmHO44hp/8biU2tvFaK3VcNQ//JD2zg8Lzz8SDlVernTUpKToPtXdch6f/3/pue2F2BzbXm1ldMdBiz549WLlyJfbs2aP26laOHj2KNWvWYP/+/bjpppskpcDRo0dx8OBBzSsZgY+3YJ6LQXjbd2ovifC27zDPxSDw8Ra1VxyHDx+OK8PBgwdx9OhRAMDgwYNRXl6Oo0eP4s033+zSiXVv4q233tIU1LVQC+xvvfWWOkgcHMehubkZhw8fxtChQ3H8+HF8/vnn2LhxI/bv34+BAwfixIkT2LBhA44dO5ZUubJzzyG80bQFC269NqFyYc4Uk+Ldvbh6ijpIl2AaOxIjh+Wj9DLe3KX96HFJ6Lx7+sUYMeR0nDX0dFWszAk178DN5sT7Rq4xnov8gadh0xffq7106ap03w9/CevV43Gt8Tw88XOzYk/Twz+5FjeYRuOHF5+PIWcMSCvddNn2zT68s/ELPPKTa9GvnwHf7WtHw4pPcPf0i/HX+6bhf+dPxf0VV8LzxmfY9s0+9OtnwCM/uRbvbPwC275JPklNSVjvTWRb0O1K/vvtAVQvfgt/WvZvtP53N5a9txl3/SGANZ9uUwftFEOGDMF338VeYB0dHThw4AAGDx6Mf//73wiFQrj++utRWFiIdevWYcyYMSgtLcWAAdoaBhG1tjyVK1XU5i2pXl3Brl27EAgEcMkll0j2tHl5eXj99dcRiUSyolU7ceIEIpEIXn/9deTl5QEALr/8clxyySUIBAIZLe0mo2paseL3FYXn4MqLzkbVVBPOHn4Gvt9/BN/vP4KBp/XH/RVXYsTQfFw9YZRmXDU/NJ2vdkqKpTj1ONdMOBe1P+NNYj6NfqP27pXsO9SB51Z9jv9duUGhFUaKK3PJiEajePPNNxWaRvX9qXVlm4MHD+KNN97AoEGDMG3aNAwcyG+Uy8vLw/bt2xEIBOIur9erTkZiz0F+ef0P3o/R3pFci9recRx/8H6M2hc/kDY8a7Fy5UqsWrUqrizbt2+X7lFxg+RZZ50Fv9+PvXv3qpM55Th27BgGDBiQVFAXEQX2AQMG6G5ElXPppZcCAN555x2sX78eeXl5OPPMM3HmmWdiwIAB+OSTT7BmzRocOnQIV111lTp6HG982Iabri3AoNMTv++6C9Gk5bt97fh867cAgBuviO2NeMC9Fn/188ccDxzQH3sPduCf72+W/DvLrr2HQZ0/HO9s/AKPvfg+HnvxfbR+uRsvvdUs/YagYBE3TqaCVrrqCxmk+/XuQxh/7jA8/JNrNQ8fEN3Hnzs8rXTTZdVHWzDzOgpDzuCfZ199fwDG0SNws6VQClN2zTj0728A+xX/nBhyxkDMvI7Cqo+SKw9S2mAqJ5WwYph7F69By/bdau+E5A3oj1VP36J2BlR5p/Jygkx4T1TuRH7JSBQ3kd+x4yfxiz+vxlUXjYLtpkukTbfN277Db176AHsPdujGTZddu3bh/fffh9FoxMCBA7Fp0yZcdNFF+PLLL9GvXz/ccMMNaG1txaZNmzBp0iSMGsULZMl4oRObSuX/i8g3mGYqeItxs7XB9IsvvsD69eslTbecXbt24fPPP8fevXtx/fXX45xzzlH4p8o333yD999/H0OHDsXFF18cZ7u7Y8cOvPfee7juuuu6fEMb8++tuOqiURg5NB9PvBzEiRMc6u78IU6e5DDjsWUYekYeXntspjpaSmhtMO0sn7Lf4Km/r8dv7jCnZPeey9y44FWsevoWNLz+Kdq+3oPHbjfj/JGD1cHS5vjx4wiFQti7dy9+9KMf4eOPP8aECRNwwQUXqIN2Obt27cLatWsxceJEXHzxxWpvXbSeF2oSPW/VpBL2H//4B2bOnIkzzjhD7aVJa2srPvnkE0yaNAnnn5/6xDMdxPee+j2o9ztTOpPOP/7xDwwcOBCzZ89We0mTP62+XL58OY4ePYqf/OQnaq84PvvsMzQ3N+Po0aP48Y9/jA8//BAAcNVVV8Hn8yEvLw9jxoyBxWJRR43DRr+Jh269NivPo2zwxodbMPSMgWj+4jt8vfsgpl81Dpu++B7zyi4BALR8+T2GDcrDuSP4Z8MLb4Zx1/TsbZ788W9fx6JfTgHHcZLpy8tvNePqCefBOPpMQFjdfNCzFjebL0pZMaOVrppM0r3ltyvwR3spDAbgnDMHIW+A8uSn7bv245wzB+GhJe/iluuNKaebLnP/FMDDt5Wg8Hy+jbT4uHUnHn3+PTz3q+nSaTDRr/bg9682YemvytTBFXSpZv3wkeNY9Msb8baG+YfW9fRd1+PKwtQEHnVcvStXCTZ/BQCw33Sp4nSc4rEjcc8MXnOQLc4++2xMnz4dJ06cwIEDB3D11VcjGo3izDPPxA033IAPPvgA27dvx//8z/+kLKh3F2ozl+4weRHZtGkTPvzwQ0yfPj1OUIfQrlOmTEFJSQneffdd3U27iRDtKq+++mpMmzYtTlAHgPPOOw/Tp0/Hhx9+mNWNreIL+cYbb5Qu61XjcFtFOQBg/qwr4ZjNa6a+/PYAzh85GH+9b6oibk9zBXUOHv+5GU/9fT0+38JrodLlRg0tdTpXNskb0B8PVl6NsecMg/P/3sGBdt7kojO8//772LlzJ2bMmIGhQ+M1T93Fli1b8NZbb6GkpCQtQb23MGHCBJSWluK9995DJBJRexOyyKWXXopzzjkHF154oWJf1fDhw3HBBRfgBz/4QUqCOgB8s+cQzjsrs0nx6k+ytwp+sP0YDhw+im/2HsLBI0dRNdWEx243Y+Bp/bHnwBEcbD+Gb/cdhnH0WZKgHtr0Fb78dj8OHUm+IpEqprEj0fzFd7jgB0NQUnQeSorOw5lDTodx9JnS76PHToD9ai+KLhyhjq6LVrrqK5N0Lx73A3y2ZRee/FsQ733+X3Qci610b9+1H0+8HMR/tn6Lth37UDym8/ti9Phmz2FcIJz6osUn0Z144uUPcOc0k+LYxgtGDsE3ew4rwmrRZcL6vkMd2LnnEAov0J9lqNn81e60wvdmol/twWXU2ejXL95IrsQYLxh2lsGDB+Piiy+G0WjERx99hIKCAhQWFsLv9+OMM87A9OnTccYZZ0iaD/VfPV7Q2Eya7U2lb/9pjsLU5e0/zVEH6VEuuOACzJgxAxs3bgTLsmpvXViWxYYNGzBjxowu15gn4u2335Yu8TcAnDWUt4U8evwEFr3+CQ4cPoadss07fQX1BD/dK5ucOHkS//uvDWj+4js8O29SVs5Svv7663H22WfjzTffxOHDyV8KXYV4FCmXxZMrco2+XLdcoLGxUbq++eYbTTObM888E7t27VKETUSmmw7bO47jz75/q50z5iR3Er9/9UMYR49A2dXjkZ93Ggac1g9XXTQKt0+eiJrn1kpmXu0dxxH4eAu+3HUA82++QlOOyJRbrjdiKfM5DrbrTwD+9M9/4wrqHJw1VPvobC26Kt1bJ03Ai6vDaD9yHK+u2xS3wXTPgSN4ec0madLRE/z32wN47MUPcPvkifjZjRPV3inRZcL6pu3fo/D8M9P6GEX0v3tw0fmpz6iyjVpjluxKFXW8Gxe8itfea0H7EW37ymMnTuDs4aktvabC8ePH0dTUhNdeew3/+te/YDAY0L9/fzAMg0svvRRXX301/H4/Nm3aJC1Pqv/qod44mujqLKJG/cZfvaT43VVa9okTJ+Laa6/Fm2++iR07Em/8GzJkCKZOnYqPP/4YBw5oL/HJOXDgAD7++GNMnTpV84UjZ8eOHXjzzTdx7bXXYuLEzG50LeSCply7Ll7sjj1YvGIDfvZ7PwbnD8Rjt5ulcZltITVTPmW/wZMvh/DYz67DJeN/oPbudfzqr+/iv98exP/On4ZxoxKPi1Q57bTT8KMf/Qjjxo3Dv/71rx6zqx43bhymTp2KpqYm6VzsrkT9zO1qNm3ahHfffReTJk3K+KxvQmIuueQS6Ro4cKCmjfvJkyeRn5+vCJuIHwwbhB3fJ9/ArGbH9wfxg2GD1M4ZM/QM3rTFPJE30/h690G0fMlviDx/5GBQ552JC34wBGs3bsfzb/4HJ05w+MHwfJw5+HTkD0y8iTYdLh43EjOuGY+Hl67Df7/l32VP3Xk9SorOk46MXPPpNnzx7T7sO5T6KTRa6Yp0Jt2iC89C5Q0TMOC0/nD++GqF3fr8m6/A5QXnIPzFt2j9cje+78ITt8458wzdcbSyicVF55+Jn02Of3/v+P4gzjkzubzXZcJ6eOt3aS85tP53d0J7n+5ArTXTu9JFHX9x9RT8O/q15izznQ3bcen47NnfbtiwAQBQWVmJ2267DRdddBE++eQTTJ8+HSdPnsSRI0dQWlqKlpYWhEIhnDyZmaYhVTqrZRc1692hZR8zZgwmT56M999/X2Hm8sILL+DFF1/EsmXL8PbbbyMSiWDgwIG4+OKLEQqFFGloEQqFcMkll2DAgAEIh8N4++234fV641YhotEo3n//fUyePDnr2nf58Yty7bp4hZq/QvS/e1A1xYTjJ07ikvEj8YNh/EMl2dGN3cG/N+/Eb/8WwmO3X9fr7dUB/tz2ywvPxlN3/RCD85Wb3dSCp9aVjIkTJ6K0tLRHN5j+4Ac/wMyZM7Ft27a4Iw+3bNkCr9ereWVKps9rkVdffTWuPV544QXpmQpBOAwGg9i0aRNmzJihaTKXLa6ZcK7ig0fJfmdKZ9PhOE7zGEY9xc2+fftSWpW4/PLLpWvkyJHSMY1yvvnmG4wcOVIRNhGXU2cjtIk3S02HYPNXuJzK3nPnn+9vxt5DsQ3Py97fjEWv80dUAsDg/AF4cXUYp+edhp9PmYjykgL8qAs+iAQAVVNNKC8pQM1z76LG8y7+z78Rv/1bCHf8/g0cOnIMY0cNxbad+/GgZ21agnVXpfvT0iLMmVqMJ18OYe6fAnjq7+tx//++jZ88/S8MGNgPheefia++P4AH3O92mcB+ZeEoybxZzeD8Abj+Yu09QqFNX+HKwuTmx122wdQ0diQqb0jdmP/7/e34/xatxmuPzVJ7SaSStx6J4op+8r+JUIfNJN23F96GxSs2YMvXe/HwT66VNJarP9mG55n/4C/zp6S1FJQIr9eLiooKxRFWK1euxJQpU7Bt2zZ8/vnnuPLKKzFmzBisXbsWHMdh8uTJ0ikNeryQwqYvOcnCa20wTaQ1/7fbhn2HjuDGX72kCJ/NDaYi+/fvx5o1azB+/HhcfvnlUl3279+PPXv24KuvvsKXX36J0aNHo62tDTfddBNGjNBeJdq9ezf8fj9Gjx6NnTt3YsyYMTj//PNx5plnYujQoVLaGzZswJYtWzB16tQusTWWj90bb7xR7Q33y8ukL5geP3FS8aW1RONej2xuMP2o9Ws8/cp6PHa7WTqhprezftOOrH6ZVY/29nYcO3asS8ZUqhw/fhzr1q3DkSNHMHnyZOTn52Pz5s347rvvYDab1cFTQj0mFeM7gV+6iIL65ZdfjiNHjuCdd94BAEyePBmnn94zy+zZpm0Hv/qSyT36z3/+E8eOHdM8ulGc/MnfA/v27cPatWtx5MgRDBgwAD/+8Y8lv0Rs3rwZwWAQFosF27dvBwCMHz8e69atg8ViwUUXJT4mUKT1y9349Qvv46WHZuiesa7m0JFjmLPwDfzurhswYbT2cz4T/vdfGzDPegkGDuiP4ydO4tiJk5LW3LX833AKe4i6i+MnTiKyfTe+3n0Q+QNPw8QxZ+GsofnYd6gDD3rWYsvX+zD+3GH4g60UwwbxJySlQlele+Ikn+6O7w8iP+80mMaMxJlDTsehI8ew4Ll1aPnye4z+wVD80f6jrMlXItu+2YcHPe+isWZG3MlCuw+0wwBDnBnO4Y5jqFoYQL1tksKOXYsu06xv/moPJo5JfRBHv9qDCRekHj7bqAXpRJdWHD300gWAe2dejhsuuQAPetbiZ7/34ydP/wuvrN2E2yYZsz6Q9Jg4cSKsVis2b96MN998E8XFxRg+fDj8fr+mZqS7UR/LKLdf706GDh2Km266STqZRe4+ZswYmM1m3HLLLcjLy8OJEyewbZv+xqNt27bh5MmTGDp0KG699VaYzWaMGTNGITy999572LFjB2666aYuE6rkxy+qtepvv/02qPP4DUUA4j6JnOzoxq6kKbIDdX9bj1//9Lo+I6hD+OBTdyB+PKYnOe200zB58mScc8458Pv9PX7ueybs3bsX//rXvzB06FBMnz69WwT1G1WrKMl+Z4qNfhM2+k21c0pMmTIF/fv3x5EjR7B27dqE7xG5oN6/f39MmZLa2eUHDhzAp59+ivz8fIRCIezevRu7d+/G+++/j0GDBuHjjz/G7t2pnUQ3YfQIXDVhFJ599cOUvkrKccDC1z7E1RPOzaqgvmvvYXQcPYHn3/wPIDxzRUF9zafbsPfgEXwSjV9J6EpO698PF48biWlXjsX1F18gySXDBuXhD7ZSjD93GLZ8vS9tTXhXpdu/Xz+Yxgrpmi6QhONBpw/AwnsmwTj6LHz57f4u0bCPPWcYSi+9EAtfix9HT7/ShN+/yp9YJMJxwLOvfogfXTo6qaCOrhTWzxqSjxFDUhc4e3JzqZYQnujSi6dG7a9OZ8pDr+JmcyFeWnATlvzKin/8+n/w4C3XYNn7rXHnLHeGsWPH4t///rdk3rJ582YMHDhQOpJs+PDhuOmmmzBx4kR8/PHH+Prrr3H06FH4/f6kttrdzY2/eklhqy7ar3cHp59+OqxWq+4X8fr3748rr7wSkyZNwjff6J/9/c0332DSpEm48sor0b+/9p6O48ePw2q1dqkAMGcKf9yXqFXX0q7rIcbNlEw/j71+0w489cp6/Pr2ElxjzHyZXs6UhzIXbjoT91THYDDgqquuwuWXX45AIICvvtJeQs5Fdu7ciTfeeANGoxE//OEPde/jU5Fhw4Zh2rRpmgK73AxGLahPmzYt6f4dCB+rYhgG/fr1Q3l5OS677DIMHDgQAwcOxBVXXCEdt7l69eqU9g8BgKPiKuzaexhPvPwBDnfEm6aKHO44hide/gC79h6GoyK7Wu6zh58B54+vwrhRw/HI8+/hjQ+3YO1n20Ev/wSR7d/jyTk/TMlcorvorGCtR1el2x0Cu/2mS9HecSJuHP3kR0W4dVLsy63iOGrvOAH7Tamd/tdlwrppbOyLmanQ05tL5ag16eorU9TpyNMSZ9CmsSMx7txh8H/YJovZOUSbPdH+c/v27Zpf4SwoKEBFRQWuu+46FBUVgaKopF9/607kWnb11V30798fpaWlCTd6jhs3LqHd6qhRozBu3Di1s4RoW9zVAoA48VSfApMKmWjvNm6Jfdjp3c++xNHj6X1Mavuu/XjqlRB+/dPrJI1/Nshw3gB0Mi6Bh6Io3HjjjZr2x7nKd999h+uvv77bj6BUvzeS/c6UzqajFtjfeust+Hw+xfXWW2+lLahDWJUZNmwYpk+fjsGDB+Oyyy7DzTffjJtvvhkXX3wxTj/9dOm43VTPyD99YH/86ReT0c/QD3f8/g28tKYZbTv2ov3ocbQfPY62r/fi5beaccfv30A/Qz/86ReTcfrArnk+5+f1x0O3XoshZwzAd/va8cuZl8E4Or39f92FWrB+/KUP1EEyoqvSVQvsjz7Pf4gpW5zWvx9+d/f1+MGwQZizcBVefqsZbV/vhWncSEwcMxJtO/bipTXNmLNwFX4wbBB+d/f1cavWekg26+mQ7CZONz0IBvjPP1CW0Pwjk3TlZLvcydITSTfdJb+y4uW3mvGbOzKz3dSD4zicPHkya0JgJpvPUrVZ7wxdYbOeLocOHcKgQdonBezduxfDh6dvC5ptJGFdtp9CHNOJfqv9kvHU39fj35t3xp0ZPvC0/ph06Wg8fNu1CvdEbN+1X/MrdancY3rlTSVuIvTSTZeuKkcm96mcRPdsNjlw4AB27tyJwsLYF//SId3202uvZGzbtg1Dhw7V3ZNCiLFv3z68/fbbmqe2QPYF2FQF9e7gsy274G/agvWRr6SjEvPzTsN1ReejvGR8Vg9/SMSB9qM4dOQYRp2p/R7JJfYd6sDjL32AwfkD8dSd16u9M6ar0j105BiefDmE4ydO4k+/KFV7Z4Vt3+zDqo+24JPN30hfTj1n+CBcedE5mHHN+JRMX+QY9u7dS3RDhJxAFNazQU8L6wQCgUAgEAjZgAjrhJxh48aNaqdOQYR1AoFAIBAIvR0irBMIBAKBQCAQCDlKapbtBAKBQCAQCAQCodshwjqBQCAQCAQCgZCjEGGdQCAQCAQCgUDIUYiwTiAQCAQCgUAg5ChkgynhlIemabUTgUAgEAgEQk5g+Oqrr3JaWDcYDBg4cGBOfUmT0LegaRoOh0PtTCAQCAQCgdDjGDo6OnJaWD9x4gT27t2b8meDCYR0IcI6gUAgEAiEXCXnhXUA+O6779ROhAwhKxUxhg8fjr179xJhnUAgEAgEQs7Sa4T1oUOHqp0JGXDy5EkcOnTolF+pGD58OAAQYZ1AIBAIBEJOQ06DOcXo168fOC7n52ddiiioEwgEAoFAIOQ66WvW2UWYNBdYuu4+UGq/LoJo1rPL/v37MWjQILXzKYFaUCeadQKBkCrk5ChCNiHvHUKqGDqa67lJxTVokpzmYWXHXzBdEUxGKsJ6KmHSgAjr2eVUFdbVgjqIsE4gENKApmk89NBDamcCIW2effZZ8t4hpAwvrMsF6zfvRd7vJqBZT9BORRBPJUwapC2st/0FU+yA+617UaD26yxdmbZIF+dxKgrrWoI60hDWc0WjplfOXCkfIfchYyiGXlvoQYR1QrZIJKyfivciITHxwjrexL15KzGz4y8oWDQJxTWizr0E9c3rcB9kgji7CDGtvOBPsVg0qRhitJL6ZizF3Ph0KICVp19SrztB0BTWtQRa0c0N2NV+2UIr30SkGx5dH+dUE9b1BHWkKawnC9PVJCpDIj8CQSTROKFpGrfZH1c791ledT+p2xZ6dEZYP3r8BD7dvBPRr/bg2IkTuOiCM3HNhPMxcEB/dVDCKUAyYT3TcUbom8RtMGUX/Q5LSiagAAB13zp0dHTw10oTalxvykK+iXuLW/Go6N/8Y/xz7iKwoHDf0nqUlNSjuaMD6+6jtNNhF2FujQkrBfeVpla0yVLPiIJ78VYKwmqf5FSuewISCeoEAoHQHXzwny9x2299eND9Ntz+T/F84DM8/Ny7qPztcvx789fq4AQCgaCAF9abalCcl4e8vDwU//PHMQ03uwiTBPe8mUuAcCtYMSbbijCWYKboX1yDpiYdgVsrHWoCTFiCmXn34k0A0/+SwE4+Vdr+gilT/iKUoRV/njIEQ4YMwZAhU/CXtpj/X+4bgiFD7sMaMc4QMZzgpkYe5rKH8aGWu5iHgjb8xf4wPvzwYVw2ZAim/PbJuPzb/jJFiK9OQ6P8euHX3Mf/FuueSp1OEfbu3at2InQjZLKUOXptp+feVyk616B26lWs+2w7Hl36LkYOOwP/e78V79Nz8MGf52BR9TScPvA0PORZi61f96LnVFsDSksbtN/1BAKhS+CFdUEL3tHRgQ65oF78T/y4WdSc16NEHVser6MDHVobU3XTmY6/dHSgo2MmVublIU8Q2rPGh5swwX0ABw4cwMbfAw/bBUH2w4fR+j8HcODAIkzFGtx32cOYuFwMtwmz71OLtsowBzb+HtdK7q146IDoXgGfmIdEAe51/x7XXvt7bDxwAG/9bKQqf6Dg3rf4+AcO4MDyiXj4z0L+OuXXDD91kapcyep0apFtgX348OFxVyZkGi8ZWmXSclOTzD9dhgsfnZL/Vvv3FrJZ1mym1VUUnWuIE5K13NQk80+XonMNiHwdO7BMnb76d67R3nEc9a+tx5hzhqFh/jRcMv5sGIQiX1E4Cs/eMxnHT5zEc6s2qqNq0IaG0nzk5wtXaQPa1G75+civXq2OKCCGrYYixOpq5OeXoiGh9N2GhtJkYQjdRVtDqbLPZWNibUMpSruho/gyKMdEW1bzjh/b2Uu79xFnBqOg5MeYIRiRs6v+KTsxBgA1AaamGigsY+TItexa6bCLcO8iVhDam1FfEkarpLbPAtdWwCrYhBRYK3Dth63YAgDX/h73TxXCtG3GJtnvAmsFrn3hX0pNtCqMwh0vYLZc4y7mkQh1WnIt+OwXgE2b+XbTK79eeCm9FOp0CpJNgX3v3r1SevL/CUqStUsy/1yiN5W1LyEX1LVI5t/TrPv8C+w92IGfTSnG6QPjvxo9dtQw3Df7KlivHq/20qANrcUr0N7ejvb2dqwoXoB5DdsBlGBhmHdrbw9jYfOsBAJ7CebObcYzktDThoZnmlESp4kjpEJZWVnSqysomL821t8lsv5fOx+l89di7fzuMYgtmVuM5fO6cpVFObZnLzdBd2j3cfSFdeo+PGqKmcfMbTWpNOvT8ZfmeoRnCuYteXnIm7SIN5Oh7sOj83gTmUmrZminQ00AaoqFuMX454+X4j6t3aW5jKAxlzTdgrY8Zdr+gimX+VCxUa211yHd8AQF3SFwaWnb1ZpUtZ/Wb3WcdNm7d6+UhlrDLbpp5aN20wqndlP7a4VRu4v/q92TuSVyV/up/fXc5WiF0futTkftruUv/1/rt1YcLXcRPX8993SIfM1Jmmu1hlt009K2q920wqnd1P5aYdTu4v9q92Ru3cnnW3YBAK4sPFftJfHj64244ZIL1c4aTMPixdOkXwUTtCTsAsxfG8bC5md0teATZs4Glq/iBazVLiwono3Zkq+W9h5oa5iHBU1NWGDKR/4d7+MIgFXVsXCnqgAVCATUTgqS+XcFMe02vxpSXS1o4atXxzTyqg5TaOpFE6e2BpRKWm2dVZUJTjxSvAAurf7XiC/XvLc1lMbK0daA0qSDqAATiuW/lWOVj55inRVlEzX2wupRQ3WsLZKWqXsoKytDP1D3YZ3OKSzT/xIzcVn3l7/w4eThqfuwTm4GI0tHjLvuPko7HckMJhauq2hjfPjwrv+JF6QLLsLEDx+GaHmiGa7gIkz80AdGGKhtjI+3WVfFTUgijbtMgy6lrUJRrmThU6nTKYxaaM0mwwWhWLxEQSmR4CzXzOvF7wr08km1PHK3RP567nLU+ajDytPQCysnlXhabasXRp6PXhi1ezLU4bTSTOQOjTwzLUumRL7mpEsuDItukAn5icLJw2j567nLUeejDqtOo7v4dm87TuvfDyOHnaH26iRtWLUcmD1DS8gvwITiJrRqCVcAUDBfELB4rfpC5wy5J+avFTWZvPbetRoomL8kpsH92/U4vWkBWmcK4VbMxdJnulK7mtvoCeR67t1LE5onLEF7+wrMXToL8yD+L5vMra6GqfURqc/Ds5djXsNaNMxbgOIVYh8X646naYtXALNUplVYjWpTKx4R0mwPz8byeQ3AhGI0tfKC8arlxZiLlXy8tlZgQrLVgNVYubRECra62oQF4kpTeCGapTKkUOeC+Vgrlq19BYoXuKS4C1pnSu6KOD1IIBBIoFnvDQgbNzU3Usr8LvNVYOMiLXF1KhZt/D02zRbCPTwRy+PCTcWi5RPx8GV8GHvrREGbrYyr2OApp+BePHQXby4z5e/fxftNjJUzlrZO+ROFl0ilTqc2XSnADNfRaIrCVFfmrSZRnnrlVJNqODWZxpOjl4b6dzbRy1NOKmHSJdM09eKpf2eKXJhWk6rWOtVwajKNJycbaXSG0/p3zSt2dbUJy2cvQabWDtNmzsXSWSYsKH4kLg25lnXWUqBZS0orWQinqOQvmBC/n+0UQy2Yq3/3HCWYPaOAn8CVyP+PhWhrbQaWzpL63LSgCU2txzChGFg6S9BYT1sM2aKOimlwLpSbVvHCdzOWYpaooTYt4A8gmTYTc5tb0YY2tBbPhHNCM1au5stQrCmsC6s5+fnIz38GE8JrhfHahtbmEiwUB2HBDMwuWYqVq5FSnZVa+VlYimZhMiJLMy5Oz9I1T5LuoOBevKU2QRGPL1T7iUcaah1vqAirY8YydZGU1luLFsXS0MtHxdRFQtzfPB6Xv+inSDtBuprhAWBLa0zLnkqdTnG0BNhsINdodlUenWV4GprXTOqTTvp66KUh/tYSULNBKvVNJUw66NU1FbTKIv7fVW2EBJpsLeThkoUVSSd9PbKRRmc5a2g+jp84if2HO9ReGbO6Oh/PTAgnsEvmBRlN2UdkmhMLS4C5M5USWFtDKUzLZyMsalkX5pC0kuOIAnruCOqpU7IwLGnW29vb0b54GqYt5v+fuVJuZqJNwfwlmL3chVVyx5KF0jjir8WYhgJMQCvaVq9E84QCFMyYjeaVq9HWWgzVUBQQbdZXYC4SrBalRRsaSk1YPluscxi9YZj3XmGdILAG9w0ZgiGzN+H3bu3JAkGbdAWjdJELSqJA1lXCkx7ZrGN3lz0R2ayXHqnUN5Uw3YW6LNlqo2wKuj2l4e4pLh7/AwDAZ2287boWi3wfw/m/b+HwkWNqLxW8NjCxoC6aB8RrzJXw5i5a2tKS2TOE90gbVi2XHyuRLWGp79IbBfWCCcVoksxARNrQUM2bNk1bzE/aNFdYJAow/xFgwQJhvBRMQHGTli17AWbMBp55ppnXeBfMwGysxErw3/bRZxoWt68ARE2/YOq1QMygbRWWN83VEfi1EDXuYly1f+5BhPVez1QsOnAABw68hXsTj3ZCFyPXZorCOWSCujyMOrz6tzxOtlHno+Wu/p1OedTxtNyThddyg8rsI9XyQCM9rbidCaN213NTu6t/y8MhSX3V8UR/LbdsI5rHqE1M5O7q36KmOxXU8bTck4XXcutuzBMvQN6A07D8/Ra1FwBg78EOBD5ise/QEZxx+gC1txJBqGhaYIptgCt9Cd8rTAV4Yb5dSwpPgYL5j6BYSn8eWotFlWMB5j8yF0tnxTaYEvoI0xYjvLA5ZrKSn4/SBmACFsAkmsYsn40liWd/wLTFWDFX+oHF4YVonhVLU9y4WjABaMJs8LJyASZgKZoniBPERMTSLG1ow7TFwslHgplN8YrFSG3UF2D+I8Wxe2ZeK6RhnsMYOjo6Unt69iDfffcdhg4dqnYmZMj+/fsxaNAgtfMpS6JPsIukEqarSVSGRH6EztOVgm93kmic0DSN2+yPq537LK+6n9RtCz0y+Qz80sBGvMB8jpnmQvzif67A0DPyAAC79h7Cb158D83bvkW97UaUTDxfHZXQh3n22Wd1x18m44zQt+k1mvX9+/eTK0sXABw6dKjPXv3790f//v3VQ4hAyIi+IqgTeoa7rJfif64rxMpQFBW/+Sfm/fEN3PPHVbitzoeW7d/jvoqriaBOIBAS0is06wRCqshXYU6cOKH21iSRtlEklTBdTaIyJPIjEEQSjROiWU9OZzSezdu+w9qN27Dj+4MAOIw5ZxjKrinAhWcPUwclnAIQzTohHYiwTuhTqIX1VLSiiQQYEZqm1U49gl45c6V8hNyHjKEYem2hBxGiCNkimbBOIMghwjqhT6ElrEPYjKdHKsI6gUAgEGGdkC0SCesEghrDb5+hibBO6DPMnVOpKawjgcBOhHUCgZAKRONJyCbkvUNIFUNjYyMR1gk9zpw5c7Bv3z61c1os+uuLCYV16AjsRFgnEAgEAoGQqxja29uJsE7oUf7xj3/gzjvv7BZhHRoCOxHWCQQCgUAg5Cq95uhGQt8l1VNbsoWWAE8gEAgEAoGQixBhndDjnDx5Uu3U5RCBnUAgEAgEQm+ACOuEHqcnhHUQgZ1AIBAIBEIvgAjrhB6np4R1te06gUAgEAgEQq5BhHVCj9PdNusggjqBQCAQCIReAjkNhtDjeDwe3HfffT12Gsyiv76o+E0gEAgEAoGQK2QsrJfm56NJ4TIXK9oXY5rCLUu0NaB0HrBk7XwUyP9XhyP0Sv7v//4PDoejW4R1taAOIV7tw/ernQkEAoFAIBB6nH5lZWVI5br55pvx3XffxWKWLES4vR3t0tVFgjoAFMzHWiKc91m6ywxGS1AnEAgEAoFAyGX6TZkyBbt27cK6devw3nvvSde6deuwbt06vP/++7jqqqswe/ZsjBw5Uh0/jraGUuTn5wtXKRraBM14fjVWS6FWo1r83daAUim8zK20AQ3VvJv4G2hDw7wFaGpaAFN+Pkob2rTjq8tR2oA2KW9CrtEdG0yJoE4gEAgEAqE30u+Xv/wlzj33XAwZMgQAYDAYFH9/8pOfYMuWLaisrFREhCAwxwRzXlAumL82pm1fUYwFrtVAwXw8MncpVoqS9OqVWDp3JqZhNapNC1C8gg8fXtiMWdVCoKYFaJ3Ja+xF2lCA+UsWokTQ6q+d36Ydv60B8xYUY4VQjhXFrURYz2G6WlgngnpXwsBuMMBgsIBm1X7A4cOH8eCDD2bQxyxoiwEGgwF2Ru2XOQ8//DB2796tdiYQCAQCIWfpl5+fjzvuuAMURQEAOI43Yec4DoMGDcKwYcPws5/9DPn5+cqYemYwck33rKVAMy8oT5s5F0sFaX31ymYsdE4D2lrRXLIQTsF+pmDGbJQsXclrx2XuuujFL5iAYizFLGECMW1xF5roEDpNV5rBEEG9q7HCzQVgM5tg5B8hCn75y1/i7rvvRr9+6R48RcERjMJltqHCqvbLnPnz52Pu3LlqZwKBQCAQcpZ+AHDrrbdi1KhRGDFiBCAT2OfMmYODBw/Cak3xbdnWgFLTcswOCwJ8eCFKRL9pTixsXonVWI2VzbMxo0sN0KdhcXs72ttnYqXKPIaQe6Svde0DsDToLGiMWZpGFpLRh6VhUWvN1WVnfPCYKqB+SmzYsAGHDx/GxIkTVT4pwvrhRRE05gDaqMulwfnnn48LLrgAgUBA7UUgEAgEQk7SDwD69euH+++/HxdddJHkce6552L//v2YO3duelqxkpgg3rZquezEmALMmN2MldUr0Tx7Br9ZtGACipsWwCVI0m2rlqNp7szkWvAmwaxFL35bA6ob2gShPYyFJc1oJXYwOcspJ6yzDOgqL1KXQrVhGRpZSCYxlANBLgiHmIlG2RmfBzYN9fcrr7yCsrIytXPKsH4vUFmeWv00yqXHjBkz8Pe//13tTCAQCARCTiJJ4TfccANGjx6NUaNGgeM43H777Rg5ciSuueYaZYxEFMzHI8UxW/Z5rcUxzbpgptK8FHhkvqhWn4bF4YVonsWHNy0oxorFSUR1wf59Vn4+ShsKtOMXTAAWmARbehOWz14CKUtCzpH7wnrMftpCs4K2WWlLzTJ2WAx8GIOFBgsAcjdRO83YYSksgzMUgrPQLtOKs2DsFik+w9hhsD+vmy9jt6CwzIlQyInCOKNuobxx7gBLx/KIKcsZ2IXfLGOX/OLCapadgc8jmKqwNOwWAwwG3i8YDCoUAAqEuhgsNFgpnlBPPgB4WV0mfbMMaLGNDBbYxbBa5dJqe4EJEyYgGAzGHOLQbz8CgUAgELobxTnrLMvi3nvvxd69e0FRFOrq6jB+/HhlDAIhyzz99NOoq6vrknPWUyHVc9YZuwUtFY0wUkBLVRXQyGucGbsBZWEXAo0OWCkGdkMdiqKNQFUhIrUc3FYWtL0eRrcbvExrQRUaEYypq0FbCuGtDKDRYQXFMrAXlgEBDm6rXr4saEusDGnB0rAUelEZ5eOytAWF3kpEgw5QYEHb/Sh3O0BplFX9G4wdBl8FuJoW2P1G1Dgo+IVyPWM5B++++y6KioqU+QuwtAVVXhNMtTVwWymwjB18td2wgoHd0oKaIF8OvsxOmAJRuK2U0Gax+ivLxbenVtsDwL59+zBixAgcOXIEAwYMUBaKQCAQCIQcQ2HfQlEUTCYTxo4diyuuuIII6oRuIfc16+A1yGETAMBKUXAEY0JiWdiFaNABKyXYb5srUU5RKK80I9zC8pslJWGRhd8bgkm2G5OxV8FbGUXQYeUFU4pCkdmMIko/X7B+eEPamzqTQhnBp8gLwf6I9AsACxSJpidq7XZ82dmWMMxFLaD95XA7rKBk5dq7dy/y8vKksEr4tFDJC+qAyoKF8cFjMkrloKucMAU4KSxAwWgKIcLy/spy6bU9T15eHk6ePNnpySGBQCAQCN2B4Ze//GVGXzAlELLF0KFD8cwzz3RaeOpSzTpjh6GuSNA+S46wG8qAQBRuCmDqq1AWNiHQ6OYFd0EbX1ck16IzsBt8qOAEAZKlwSuIZenK3TTzlWm03fG24smJaZ4rWhhYjT4YBI02aBqUQ6bNVpRNVXZBux2prIXbIbjINNx5eXmIRCLak/64tAUNf6QWnNsKxm6Ar4JfWdBv+zoURYNwUOpyCSHi2p7nyJEjyM/Px7fffpvStyMIBAKBQOhJDI2NjURYJ/Qo4XAYCxcuzGlhXSE8igimGSEAZrMNlbU1KLdSAAsIJ6FKAq1krqISsuPMSiSTmCiCDko7X73ypIwgrJtcqKhxwAoalsIIagNFaIEDgtwdV9a436wQTyW8i3U95xx9M5i4eitMcwThO1rDHymrDisK9qLpjrpcsVCapkLEDIZAIBAIvQnD119/TYR1Qo/yhz/8AX/4wx9yWFjX1tyK2l0EgoLQzIKxV8FXNBeI7EeN2wFK0r6L9ucG1BVF0WhkAasVrPA76KD4DZT+FsDrBRobUQ4W9YX6+RZFG8Eno9QcJ0c5IRAnHXAJvwX4CUEAFaBgtfITB3nZ44RoQVteW2sEKCt+O8eMhQsX4oc//GEsaz4gr5Gv5duNZWhUlYlmLjJNeq0RrNUKq0KzzoKhq1DmBFyCzb2yXEC9vUWz7UW2bt2K0tJSbNu2TV4oAoFAIBBykn4cx4Fc5OrJK+dt1tkWhM1a531bURMwIVwmngJTj5aKRriNH8LjcaLQYIDBUIawLSAJ8y1hABE/WIq3T7fWuABnIX+6iZ+Cw2FEJARE/CwAnXzZFvDJsKA0BfVkp5lQMFa60ChXN5tVv8HA5wHCPgh5qMuutmfnj1oMIYIWULBSgMViwebNm2VpSgHhDYXgEdqtsC6CymhMoGb5jMBSVn6SYnUjYPIK7VmIukglotJxkqpyMT6dto/R2toKi8WidFSQrP0IBAKBQOg+DDt27CCadUKP8uyzz4Km6RzWrBMyYePGjXjqqaewbNkyhXucCUw3c//992P69OmYMWOG2otAIBAIhJzDUF1dTYR1Qo/T0NBAhPU+yF133YUHHngAJpN44oy2HXl3sWPHDtx7771Yvnw5DAaD2ptAIBAIhJyDbDAl5ARz5swhwnof5PDhw6itrcXChQvRf80vYSjzCD424Tz17uXRRx/FAw88gLPOOkvtRSAQCARCTqL4KBKB0BP84x//wJ133kmEdQKBQCAQCAQVio8iEQg9QapCNYFAIBAIBMKpBhHWCT1Ozp8GQyAQCAQCgdBDEGGd0OPkvLDO2PmjGQ12pHeYHwuGtsMixKXZmDtt4Y8tJKcD9jyHDx/Ggw8+mPvjkKDLww8/jN27d6udCQQCoU9AhHVCj5PzQpLVDS7qgtlWkdaGSMZeiDJvERq5KFxmDyKSsE7BEQzABhsq0kmQ0CX88pe/xN13341+/TJ5HMYmXtk7l50FY7cIE0QL7LFZXgJk5bDQUMRgaWHCmMmEs3cwf/58zJ07V+1MIBAIfQLp7bRz506lD4HQTfQGm3XW74VJR7JmaUu8gMTYUeaxIRB0gAIFR1D5FU2wLQjbKmAVhCxLSgIZIdts2LABhw8fxsSJE9VeKcL3bcAG2HTGR7ow9nqgJgiO4xANVCLsLExhBYYvBxewASEn6uXhKQeCURfMtgCiPXACT8qwNCwGi2wFKhksaJqv6Pnnn48LLrgAgUBAHYhAIBB6PZKwfvfdd2PJkiW9QnDSZzWq8/NRvVrtTshlcl6zDhZ+r0lXC045guCCjtiXRlkG9jIPzK4aXcGIqXcKwj8vZPXUB4JOdV555RWUlZWpndOEgc+TvVUSq9sN8cO0lNWBWps6hD5MSxFcNsDjU0r3rD+Cyhr+q7lyws/cimc3qRwTuHcplANB6cu0yWDB0FXwymo0Y8YM/P3vf1eEIhAIhL6AJKxzHIcXXngBt99+O5qbm5WhNCjNz0e+4ipFQ5s6VBfS1oDS0gbIs1xdPQtY0Y7F02SOhJwn54V11g+vqQgQTRMsov15zPSA14wzsBsMMBSWwQMg5KyStIQsY4fFIpg1MIJwR4nmCWptoswMwkKDYewxEwuWgV00d5Bdlsd+rUiLpS1KkwdZPAvNgLEbYGeUtvOsYF9vZ2ThdVS6bc/dhNEXlmPpFrVPBkh7Agyw20UbfwMssrwZu8zEg+HDyFcjxLIr+0fyBS2ZlfD+YsrBYBAXXXSRPLACMS+DwQKaYWDXMiNhfPCkaSKVUroAABYtYTOKUhRgW2CEo8YFs8cnS4+FP1KEco00OE775F49dwAxsxoLDZalZeNK1ugsI2tzpSlPzMQnZrLDj9fYb6m/hTEg9a+d4e8zSyHKnCGEZKsOEyZMQDAYlPIhEAiEvoLCSHPDhg348MMP8cADD+CJJ57AoUOH5N5KShYi3N6Odulai/kF6kBdSMF8rF07H/Ispy0mgnpvJNdXc1i/F6FwJGaaUBmGs54RtOJRuMxmVJZTAKxwc4IpgtmFqKAlZGkLCuuA2kYOHBdERUsdL9yJ5gnmSpkgxYK2FKKuqBZRjgPXaISvzMObWLA0LIVlCFcGeD8uCpcZsAU4BJ96GkEuAJu5EkYwQHklzOYiXu/I0rAU1qGoNgqO49Bo9KHMY0OFVSy/DUWg4S93C1pcBrQfqKm1AeEWpXmPAMedBHeSAwdg53PWmPCV4LI+r2NqZ3UjIGiPPahAI8eblYQ8ZZIgZq1xwQwA8MKPGlTyPwBB0Ct0emByRcFxUQRMHjgLxQkQ355OjwkBjkPUZQZCHvgYvlZtbW0YMWJELDEZfL8VoTbKgeMaYfSVaQrljE/onxRJNV0AAFOPSGVjatpm1g8YrQBVjkqzB3XSTNGPSFF5nFYdAC5+1IuHNCyA9NwBXgPe6DLDjAjq2XK4gxyiARtCznp+giCM00hFIziOr2ORV5i4sjTqhL7goi7YTEZQwupU1GWGuZIvp9UdMy1iaTvqjTX8vRJuAQsr3I0umM0uRLmYedlZZ52F7du349ixY6oCEwgEQu9GIawbDAZ8++23WL9+PV5//XX89Kc/xerV6diU8GYopaKKva0BpfmlaFjbgNLSalSXxjTx1atj2vGG6nzk51djtRQnXlvf1lAa0+KXNqBNrllXxJGlI6Uty5OQc+S2Zp03gQkEZaYJRpPM2w8v5MI2L7yJQgcYOwq9lYjK4wMwC6pS1u8FxLAAGHsVvJVRBB2CyQJFocjMa1ZZvxchswuNop8axoewCQCsoCgHgkEHKDCwV3lRGQ3CIRSAoopkgrwfXgBAORwUA5/HDLQA5Q4r0BIGBGFKDWUL4L//fQPzxgOj7mEEoSzxxdw9Sp1MHLYKvm5UES+Nq805EDLBaJWbDrHwe0MAzCgqpwBQQtwQvH6Wr18IgFBfysFPuNxCW+zduxd5eXnKPMD3W5W3EtGgQ+g3Pl2x32QB0zOBSTldXrC1+yrgTklSj8nqAIXySjNCXj8/0WIjQttkC6HNK2ukdoylzoKucsIUiLUxQMFoCvEbrKlyVJrDaGF5od8tbeRgwd8KYhxhRaGFn0S6rRQ//oXxKP9fJC8vDydPnuz0x9UIBAIh14g7/sBgMOD48eOIRqP46KOP8Oyzz+IXv/hF/AbUpgUwyc1gShvQhmlYHF4ILHBhNdrQMG85ZofXYv6FAJqaMWGJoIVfMRdLZwlCddMCtM5sR3v7YkzDalSbWvGIqK0Pz8byebxgPm9BMVYI7iuKW2XmL6tRbVqA4hW8X3hhM2aJUrmUtpDnM0qzGUJukNPCOuuH16TUerItYV1hm9ccipp2BvayMFyNMnt2MKh3ikKJSkBhadSFK9EoF87iJgMRsJJpTT2ccKFGKBzj8wBF5dKkAABYug5hlWZWUWY2ghCKUG6l+E2vAIrKraAEgUxPYyw3g+m0Zl0DaUKk1uyLkwwJFpGQwkEiFGGF+qULC7oujEpFv6mFSYG0TGDSSJdlYPcbUaPYlZwIFn6Z0Ew5amELeeFnAcanbQKTMawfXrgU45RtCQO2ClhVY5KHnwTytwwFR7AWkSqV6Zd6nAuTrIjRIYxdvp1cQsJsRH9sEggEQl8jTlgXbRU5jsP+/fvx5Zdf4vDhw7j//vuxa9euWEC1GYxoklIwH0sWNmNWvgnLZy+JmcaUzMYM8f9pMzEXzWjdzqfjFE1X2lrRjKWYJU4ATAvQ1NSKtoIJKMZSzBK05tMWL4Zk7dLWimZZGgUzZqNk6Up+IiBPu2ACSsQ4hJwil81g4k+BYVDvNaFWEFTYSAgmo0xo8XsRstXyAgbjg0f8n/cFba+DRzJ7YREJmSBGjxP8BS2l6EY5GuEyhVFWyAu/Vb4iRKWNrbyGVyyXGD9OEGRp8EkKsXwe2Gr5NBRlZ/3whvQ1xnIzmGxq1uPQ0ezHoCAo4eNQaKtDEU1znuHDh6Ojo0PpqBYcAbB0FZwqN4jtp9dIalJNl6VB+ym49VZQtGD9AORjx4oKWwjOejt8OiYwSLCRVM8dWuNUGFOuGis/kVWMYX7CGBvz4M3FGivhrZKdoMRGFJpycSzGFO/yttNezejo6EC/fv0wbNgwpQeBQCD0chTCulxQ79+/P+bOnYvJkydjzJgx+POf/4yzzz5bHlyXggnFaqfUUU8C2hdjGqZhcXs72ttnYqXc1IXQJ8hdzbryFBh+M10dUCsefycIDWDAm0BraKNFzTDLwG73w1gEmCuNYBlW0sqCYfhNdnIVMcuApv0AzKgsh6RNN8KEQJQXfoNumYZWU8Or1DqzDA0+yUqUgwWrEHqUZeeFpQoIFYtDbgaTTTw+vi0YnwcQzGISw5t8ACFEWJavR4Q3i6kspwBrDVxmAPCgzC60M0ODFupVUFCA77//XpmkQhvPgqFp8M0m6whAWEWJFxp1SSVdhgbNlsMhTgYZOqWjDFl/BOqZhLXCBng8kGaDGojPfDV67uIEUJygsgwNS6ETpgC/P4MymmLmN2DB0BYUOsGvLjH22EZTNoKQbALFT3oAhhH6UKZFhzAeUVkOlmHAMj54zEWgWPG+49m9ezdGjx6NAQMGxBwJBAKhD6CpWb/iiivwwAMPYM+ePbj99ttRV1eHUaNS1YqtBn8oywoUL5infULM6pVYWjIbMy5UuRdMQHHTArjUknhbA6ob2gBMw+L2MBaWCFp5jThtq5ajae7MmOadkPPkrrBOobwWqBPMOAqrIqhoDMa0fYwPHoThA8Wbnqi10dYauOBEocEASz1Q43YAkRAQaQGsFC+Qhn0AxWtQrTUuwFnIn57hp+BwGPngfpa3b2D9qPN4UFZlgd1OC4INj9w0J4YVfJL8CSh+ygGHMYIQIvCzAKUQ8FlEZGVnIyGYw3w5uxNbUQuqDAaUeQCzLSC1NVPv5AXdkBNVKumV35xoQ7isEAZDIZxhG1xR8QhA4QNUZgCeMhQaLKhvKZfs9y0WCzZv3qxIT9Fvdj8ohwNGviPAiusYdgMMhU6E4EGZ/DQf8WQbrVN0kqTL0hYYypxwlhVKpkOFPqOwSqOXLn8CUaFTvqlWwFoDlznxZEJvI6meOz/GQ/CUCeWri6AyKvuGgNWNgMmLQoMBBkMh6iKV0kZrxueBxynUrSwMW0A+6RVvBUpjBUKwkY/4AUrYS4EI/Kxw3wm0trbCYrHEHAgEAqGPYGhvb+cAoKysDJ988gnuuecefPHFFygpKcFdd92FQYMGqeMAwtGNTQqXEiwMP4JWk+z4xNXVyJ8FrAhPwDOmBbLwc7GifTGmtTWgdB6wRH6qS1sDSuVhSxYivHYCXPmzsFRyCmPtjFWxuIo4OmmrfxNyht///vd44oknOr0xbNFfX8TcOZUYOnQokIZ5zaK/vojah+9XO6cNS1tQhcYuOTOdZWjUt5Tzmw1ZFgzrh8/nhSfMb1bMfo7dC2PnBXRbQPXxqC5m48aNeOqpp7Bs2TK1V6dgaBqUI/v90lXppkpXjvHOcv/992P69OmYMWOG2otAIBB6NQrNelVVFfbs2YPHHnsM1dXVuoI6AKxVmKqIRzfy5irS8YnTFgtmLGrzFsFN4/hFFMxXpr12PgokMxj+Wju/QBlXEUcnbfVvQs6QqlCde8TOx2YZGlVe1ebQrMGgvswZ+0lRsFodqKmphA3attiE1LjsssswZMgQhMNhtVdmCGeQ+4xZFqi7Kt200NgDkSPs2LED27dvz8IHrggEAiH3kIT1vLw8XHPNNWhoaIDRaFSGIhC6kNw1g0kGhSKzB2UGA6p8RjR2mYbbipqADWFvzDzCYLCgqh6oaMzhz8enCmNHGW+iDk+Z8FGmbuQvf/kLXnjhhexMGikHgrKzv7NGV6WbKoydNzEKheAs1PuAU8+xePFiLFmyBAaDQe1FIBAIvR7JDIZA6CmefPJJPPPMM73eDIZAIBAIBAIh28RtMCUQuptUhWoCgUAgEAiEUw0irBN6nN5rBkMgEAgEAoHQtRBhndDjEGG9CxGP/BM2wqYOC4a2wyLEjR0JyIK28Hbz3W1b3nl6c9l7IcKm2PTHXg/Qm8pKIBBOOYiwTuhx+qSwLr38DbCk8lWbDGFpi7ThVDMbqxtc1AVz3AeTEsPYC1HmLUIjF4XL7EFESls4txyJz+/OTXpz2XshlAPBgA2Qjb3YeM0xoVhVVpYRJ6oGWOyyL60SCARCD2Corq4mG0wJPU5DQ0Of22DK0hYUOkMwu6JdeC41C9pSCGfILPsQkCoEbUG9UfYxJ5VfoVd1Vjtjh6EMCHA6J82wNCz1RgTdFGhLIbyVXVm/LCOVXbNmPQgLmmbhcHSiXCwNS6EXlTrjoCfQHHuMHQZfBbgc6wOprLDDjhq4rRT/JeGqMjhNgZwrL4FAOHUwNDY2EmGd0OPMmTOHCOsZkUxYZ0Fb6mEM6gjealgG9sIyhBOUmbEb4KvowWMEO0Fulp0FQ1ehLkc/NpQ5DOwGHypUk77c7APtsvJeuTm5IBAIpxDt7e0cucjVk9cLL7zAcRzH7d27t1PXb5+hua+++oo7cOAAd+DAgTh/veu3z9BcVxB1mTkAnNkVlTtyNjM4ABxg5mxyPy7KuWx8HAAczDYuwHEcxwU4l1nLXYhj5tNSJCV5uzizzcUFxHTNNiGcGE8sX4CziekLZRPTiwZsnFnIwxYIcDbYuEDUxZlV4YTQsrxcXCBg42ATShsNyOoeuxTto0M0YIvlJ5ZBHUgDzbLHfPXLqonYRmKdxfjqNlAhtpXZxUVl/S+1u6xN+OyVbknbJ2CL67PERLmAS2xP9fgMyMZgbHwGbEJ5hPaJivEV7cW3B19Xm057qvsgGT1ZVp6oy6zRB8L9oxOHQCAQsgmxWSf0OKlqwHs9LA1LoRMekwtRjkM0YILHWSjYtAsaco8JAY5D1GUGQh74GBYs44MzBNgCMfeyFHdIsn4vQuEIUBMEx3GIVobhrGcE++0oXGaz8EVKK9wcBy5gA8wuRDleS8/SFhTWAbWNHDguiIqWOnhsFbBSDgSjLpjNlYh90JKvQ11RLaIcB67RCF+ZB7YKq1D3MoQrA7wfF4XLzNcpmTaZL0MRaqMcOK4RRl8ZXwZ1QBW6Zed99cuqC99GURfgrGfA0H5Q7iA4oa10oRxodJlhRgT1bDncQQ7RgA0hZz0YWOFudMFs5seE2wqwdB08pgDfXy4bTMZEiQv7ErgoXIq+0EOod6QCjRwHLuqCtCFB6KNIRSM4jm/rIm8VaBawujnwJt1WsLQd9cYavv/DLYI9t5Auavl0gxVoqdNoT8aXUt/x9HBZAf7rwRGtLxNTcAQ5om0nEAjdAhHWCT1On9xgqgHr9yIEwFxUDgoARRXBDCDk9YNl/fDynryfgxeu3VYKlNUNjguiBjTqvepUE8HC7zUhEHTDKsgalNEk8/bDC6WAx/g8MFfy5QNjF+zZZfEBmIv4Hyz/7XnJ1p2xVwn261bejaJQZDajiBLqbnahUfRLFcaOKsGmni8DBarILJVBlyRlT1TWZFDllTB76tBSnuoXa1n4vSGgUrCDFsoi+fq9CJmMkhtVXikJlpTDnZq5CFMPrywNPVhaqLdbrLdDsN9nQVc5YQrwY46HgtEUEuRjFi1hM4paaPjL3XBbKUW5Gbuwd0FMl2/tuPZkfHpCcTw9XVaABW33ocKdaj8TCARC10CEdUKPc8oI65GQ2oknFAHLRqDjK2gCDSj0GVFTqfZLAOuH16TUYrItYV1hGyyNOo+oaWdgLwvD1SgXVBjUOyH4s+CjC74sjbqwSgMZNxmIgBUVo0w9nHChJqHcxoKuC6NSUQZVvpokKXtKZU0AVY5Ks9oxAawfXrgU+bEt4djJI5GQUoClHAjWRlBlSf0UEsbngSmpEMyg3mlCbZyWmBf24/uDgc8jCLHCZDJidAirCHw/uGqsAGNHWVhZPz49dXsy8HlSPYmnp8vKgrH7YazRsGEnEAiEboYI64Qe51QR1qkiHQlP0KYDguCu9AVLV/FmMKlJORKs36sS4BjUe2MCEBsJKUwsWL8XIVstL+AwPnjE/3lf0PY6eCRTCxaRkAli9DjBX9B+im6UoxEuUxhlhfxxeFW+IuUJNFpoCNAsXaUhWKlIUvZkZU0K40cEIXj96p7SJi4/lkaVUxAe9QRYqxuNlV5UaZ7HqUYnDTVsC8LysabwCsdWVEQ3WtlmIVttTMsv6xvG54GtVtaXLA17nWyFRiQdE5geLSsLmvaDcourOQQCgdCzSML6zp07lT4EQjdxqtisU+WVvNlLhAULgPXz2nRzZTkoaw1cZgDg7dFZACxDg2ZYSSMfbon9nxzeBEYU4FiWht1SB9SKmkJBwAMDRjAd8HtVGl7RxpdlYLf7YSwCzJVGsAwrCV5ghLLKy8UyoGk/ADMqyyFp040wIRDlwHEcgqmYFihWG1gwNA2/0F5SonokKHsqZdWFpWFvKYe71oZQhAXAgOYbUAdeqytOiliG37dgCgh27owPHnMRKJbvB8Ye+wAVGwkJeSSGpeW2+EkIeSHOMViGhl3Y+0AZTbw5Fu8Dhrag0AlhdUKmmRYQJyAsw2CHMDb5NO2w+40oghmVRlYYW3yatK5duA49UlYGNM2i3CGMT5b/TSAQCD2JJKzffffdWLJkSXYFp9XVyM8vRUMbgLYGlJY2oE0dJhGZxCH0OvqkZp2lUeXkhcKQk9/4BmFTpi1chkKDAYXOMGzSEYnCB3vMADxlKDRYUN9SDoeVt9EGAET8QIUNZgAI+8AgpnUHQnBWyc0mKJTXAnXCh10KqyKoaJSdd8344EEYPlC89pD1wxuSaWetNXDBiUKDAZZ6oMbtACIhINICWCkwPg8Q9gEUb/drrXEBzkIYDBbY/RQcDiMf3M/yJsGsH3UeD8qqLLDbaTCiFCd+YVVrw6y8DHY/KIcDRj5RsO/VpxZPo+wJy8rqlEf4yJWl3gi3gwKsFbB5ymCxA+VIUBbWD28oBE+Z0A91EVRGY8cWsi1hABH4WQpWioHP44FTWH0oC9sQcPOmG7rpqydZicJSDjS6TPAW8h/Rqm8ph1ssiNWNgMmLQoMBBkMh6iKV0ibj+BUOwQY/4gcoK+6WtWc9aqBqbqFMhXCGAE+Z7CNhuVZW0LAYyuB08venwWCAodAHo5YpjmCapll2AoFAyDKG9vZ2DgDKysqwf/9+XHDBBfjNb36D4uJiddh4Vlcjf9bS2O+5K9C+eJrwow0NpfOAJWsxv0AQvOcBS9bOR0EsRmIyiUPodfzf//0fHA5HnztnvTfB0hZUddE53yxD88KWgwJYFgzrh8/nhScc+xgTQ9OgRG1mGmQaLxmZpKsVJ5vtqpW+3gesNMPmKL2prAQCgdATKGzWN2zYgA8//BAPPPAAnnjiCRw6dEjuraCtoRT5s4AV7e1oF64VWInVUogCzF8rCOoEQgJSFaoJ2YSBXfjkO8vQqPJqHU+XDRjUlzljPykKVqsDNTWVsCECVtBY+4xpCmuZxktGJunqxkllM2wKqNJn7BbYGZY30agLwxaQCeq6ZclBelNZCQQCoQdRCOsGgwHffvst1q9fj9dffx0//elPsXp1TPyWs2o5sDC8GKIeHQCmLeZ/tzWUIj8/X7gEMxgFq1Et+eejulFl7qJl/tLWgFIpTrVsUkDo7fRJM5ich0KR2YMygwFVPiMak232zBgragI2hL2FvFmBgTdrqKoHKhrd/HntwvniaZFpvGRkkq5WHMn0IwRnIT8pyhhV+lQR4CkrhKHKB9Q2KvPVKkuu0pvKSiAQCD1I3GkwBoMBx48fRzQaxUcffYRnn30Wv/jFL+I2oC5vKsYEHa15wfy1kra9fUUxFrjkonUbGkpnAStiGvnFP5R5a7Ia1aYFKBbihBc2Y1Y1Edf7CkRY7wmEj7pwnOy86a6BsroRFPLiryCCff2kDatbVt/sHv8nnsHPBd1w9OlGJBAIBAK0hHWO46S/+/fvx5dffonDhw/j/vvvx65du2IBSybo25HLteCzlgLNrTKt+Sosx0I45Sr5ZLS1orkkFqdgxmyULJWb3BB6M8QMhkAgEAgEAkEbhbAuF9T79++PuXPnYvLkyRgzZgz+/Oc/4+yzz5bCFjctx6o48xZBUDctx+ywoDkPL0SJOgyBIINo1gkEAoFAIBC00dSsX3HFFXjggQewZ88e3H777airq8OoUaMU4ZwLgQUmpe346mrhd8lszBDU7m2rlqNJFgYFMzAbC6CwjAGAppj2PT7OBBQ3xeK0rVqOprkzFfbyhN4LEdazgLBZzyBsGu3dCMfiGQwgJ+NlGwZ2Ye9A2m3bp8ZY7+eMM87Ak08+iSeffFLtRUiA2GZnnHGG2ivrsLRF/3jS7kI8IlXzvs3es1asq3Q0KyGrKIT1wYMHw+l0YuzYsRg5ciTcbjduuOEGeRCJgvlredtx2UbRWZiJaQXz8UjxApgEt3mtxSrNegHmL1mI5lmyDaZt87FEllZ8nGlYHI7FMS0oxgrpiEhCb4cI61mAciAYsEmfsIf8RaH5kM5lKDiCUbjMKXyVk5AmVri5DNtW+E6AOdUPMBG6lPz8fDz++ON4/PHH1V4pEhPUukaYZMHYxWeQBfYUhbjYc8sifSAsffi6aQmOYpvl5+ervbIO5Qgi6jKn9zGwbGN1g9O9b7P3rKUcQXABV+dPvyJoohDWq6qqsGfPHjz22GOorq7GoEGD5N5xKDaStrdLZ6xPWxxzW7t4MdaunY+Cgvn8Xz4i1sriLZ6mTCt5HOUpNITeDbFZzw5sS1jxUuAfnkoBvqdhaTq1iQPrhxfan5vPGVgalrQEChY0nVLtuxbWD68pszHB+r1AUQ70Sg+0PUtbYLDIPzzW2+E3mfOPiExGQ2IYez1Qw2+GjgYqEXYWJtfeMnYUeisR5Thw0Up4MzpJiYFd+AhXz8Mf39rTtwzr98Kk18dZfNYyLZB9kIyQTSRhPS8vD9dccw0aGhpgNBqVoQiELoRo1rMBg3qnKU47wvjS/MR7F8Kf585/0DQZ4ifiUwnbY1AOBMUvZyaFBUNXwZsDNUr44k5Ils6NzwY90PaUIwiuy4447SkY+Dyd16pqYXW7pROfKKsDtTZ1iHgYnwdm8b6nHKi1eVCX+oxMwAo3x09Cepy4L+r2BCz83vh3g0j2nrUMWmDMQjoELSRh/fXXX0dlZSX69++vDEEgdDF9W1hnwdB2wdZXtSzLMqA1lokZu3JpmhXjK9RS/BKzxWCAwWIHw/jgidOgJ34Rtz13E0ZfWI6lW9Q+nSO29G2QNJGM3YLCMidCIScKZ8zQWOZmYJd+awmF8iV1jeVtyS5T69LRzok22BYaLEvDLpgEpNJH0lK9qGlV24VK6dnBgIHdUogyZwihFLSLce0npR3fXo/9WmYTK+ZpZ2Ttpa47/+IugjgmVeYJOvXl/XQEj77Q9pI9vqyNJe19zFxEOe5UY/KxX8enIfQnzfL1iY1xGZm0XwqwTKyPaSb2ETQFms+N1EkpDwAAi5awOYmGmYHPY1bc91SRGaGIusF6gvSf44C2IMwysfFusNiFsaEcf/wYV7VlpuOE9cNrKgLEMop58p6Jn7UWGgxjV7x7lOWXrTQxPkSMkPbESJcUV7iPdG9CQiLiNpgSCN1N3zWDYUFbClEXqUAjx4GLugDxxcPSsBSWIVLRKJzF3YgibxVoFrC6Y0vTLG1HvbGGtxUOtwgPRiFd1PLpBivQUqehQU/yIua4k+BOcuAA7HzOqvECiL+szyu/txAHS6POY0JAqK/NxGtarO5GuMxmuKIcuFWrwHFRuMwheP3io96KGpdJTAQRhVDIL2vXFdXyy+MBG0Jev9IcQXGuufrSOeeccqDRZYYZEdSz5XAHOUQDNoSc9ZLQp9dHoi2qpAW0umMmRywNe70RNcEoXOYwWlgr3I0umM0uRJN9BEir/axu3fYaeZdgE1sE0P5yuAX1JUP7gZpa2BBGi0K+9MMbCiOCGgQFU4NwCvXl40biBA+gj7Q95UCQC8AGWRtTDtTaTDK7XrkgqTEm1/4Ajep+YmnUecQ85GNcRibtlwSWtqCwrgi1Ub7tjL4yzWdBZ1beUs0DAMDUI1LZmHglhG1BWO0GANJzr6fI7DkO6ZaJVZqlLSgsi6CiUejfxiJ4q2iw4vgzV8IIBiivhNmsMk3JcJywfi9C4UjMJKkyDGd9TIBWPmuFuorjutEIX1lsjPB9LpY/ChciUt8wPqDCaoU7YIPNFUA0KpRNuumEb3vo3oSERBBhndDj9FXNOktXwVsZjX10iHIg6LbyD8QqJ0wBDm7pozYUjKaQ8A4QtFAtNPzlbritFP/AFQRfxl6oTBcUgHitVbIXMWUL4L//fQPzxgOj7mE0XgDxF3O38lSoOKhyVJoFAZFywC0+mFk/vCETjFIZKRhVcguLIv6lwfjgEerKvzzKEHZFEXTw9VUslXcKFn5vCKiskfpB9lpN2kdqjRTbEoa5qIUXmt1WULI6y/svIXrtp9tefDkAoNxB8W2DFqDcAStaEIa8zQUTmEAwVifKCD7ZZPXl290kT6xT5GDbw4oKG2SaXBYtRRW8gKlYVUg0JuX9xIL2R4T2FV2EMd6VMHZUeSsRDYofHqNAFZlhVj8gkqy8JSTlPACwNOy+CrgTSuq5S+bPcQY+j+z+Y2lUOU0IcDHzIFBGmEKCwMv4EDYBgBUU5UAwKyZX/EpaICgzSZI/SBTPWoCxC3UVxjUoCkVm4d3C0kKfi2lRcATFSQIDX7gIFGOHoa4INQ4rqM4XniCDCOuEHqdvCuu8DXmt1guKqYcTLtQoXpL8EjD/UPTDGwIiRoegieKFE1eNFWDsKAu70ChPl6mHM848IfmLWG4GkzXNOig4grWIVKmW+9kIQhpaN0kwYmm0GPmXk2KSwdTDGbKhtpwCyzKwWwyoQ0BZf/DCg7qssUtniZj1wwtlW7ItYV5Dm0ofqTRSfr7T4BDSY/lOgxUAGwklnDjF0Gk/gfj2YhEJAUXlVlBg0RIGUFQOqyikKtpcw3aVbUHYXAQqWX0Tjac+0/a82YUIS9cD5Xw8hTlDkjEpmW4wfhgdFQAE4Y2h0VKuIYBl0n66sKDrwqhslOcTP7kBkHTlTZ808mAZ2P1G1KSiTZUmjipSmmh1FZ14jqval6l3SmMyFtwHj6BBZ3we6d7VJJNxorGZnJ/Y8pkonrUsjbpwpfLZKrvXmHonTLUa4xdCPUJe1LcUwRbyQloAJGQNIqwTepw+KayLQpDaXXxYqu0Y6Tp4zPxDkReyamNL9vIHps8Dm/yBydKw12lomlN4EcvNYLKmWQf4DV6NlfzyruCipeWPCUYsaL8RDiuEl50NFRQLVmgrwIOyQguq6ltQ0RhF0K3RqhksEcfZk7I0qpz8pChZH4GNKLW1rB/ekA21sU6TCS8JBF1N4tsPeu3F+OCx1ca0vyGbIFjwAqyizTVe3Ey9F6ZaB5CsvsJ4oliNt3CfanvB7IKxo97olsw22EhIWlVIbUz6QKMcVlDgu40B3WLUNgPJoP10iZvI8Jrh+Mm89j2ZEqnmwdKg/RTcopY2KRSKzLGVHAjtrqmt7y468Rzn25cCf8vwq6Vq23Baenbz41RzUiCSwTiJ30zOoN4rTj5Uz1r1PSmsHPBuifccML4wXNEg3A4HKmzKPiRkB0N1dTX/2VICoQdpaGjAvn371M5pseivL2LunEoMHToUSMMWftFfX0Ttw/ernTsHS8NS6EVllD+xgmVo1PuMvFmDsFQYDfKaUYauQpkTcEWDcFAsaEsV0Bg76YKlLahCI2qNLHb4yrC0KIqgg+IFipYKFHnrgNpaGCmroJXh7Q4jtQlsdLsCxg57Sw2/3M3YYSgDv+QLBnZDHYqijTCygFVQHbG0BYXeSrgqgXKHMAER26bWCNZqhZWxw1AHfhkX4DV1VT4UNcYEqczg2zlSG4TbKpxUUyYuacvKodlHAGM3wFcRQAUoWK2U1EfBWKfBUgU01hrB7vChbGkRoo1GsBD7SAPd9uPRai++HHyZWdqCwkgtbxPK0rAURlAbqABl5YUllrag3sjXFywLur4KXtTyS/op1LeuKIpaIwurtbODKgfbXoSxw1AWhs3VKDPbYGA3+FARqAAoK6xs4jEp9pNYftpSCCdcwu/scdZZZ+H7779XOsa1nR8t8MKLRjSWA5RomyCODx0hLyGp5MHQoFEOh3ivMzT8lLhSmAB52p0po3Bv1AnPSi00209Nxs9x8ZlXCyNrhdWqKg/LgK4qi40Lxg6DryLL9twsaEs9jMI4ZVka9VVeQLjv1M9aqMvnbwG8XqCxEeUA/FWC+aXoX++D0S083y0tqBHGt/QcqgHsfsDNa2EIncTQ2NhIhHVCjzNnzpy+JawDYGk7qpwehGBWvfwBxm5BmYc/CNhsc6HRLbzIRUFDerHzL3uvyYXaGgesoGEpdPJpBhrhtrKwG+oAVy3/UGTsMJSJO9oAs0v/ZZVtGLsBsazNsAVEwZB/4ZlctbwtYyyCUuiRBFITAo2iXSQLxl6laKvaGtFOthOwYjsKmG1wqSYAun0EBnZDGcK2ABrdvPmJ1gSr0GuCq7YG5S1V0v8O1PP9YwvEvZh12y8WQNVeghApCDNywZ0PG4arNiisWIhCZRn4KonjJ4UxKY1Bsb6dJAfbXkJLaBIFeKm9koxJhgYtCabx5csW2sKmMDkIxdqNtRtQh1gZ1eNMnASpYWkLChVKBHHSUQ5/gjwovwWF6kPOxTYXn08J+oDPN5Rh2WQTJLEIOnlJ7ZekTBk/xwu9MCnuMQZ2i+z+k6UVN+HMEixjR1WZh7/XzDbZc1XjWSvdl2LZYu+WGocVFEvDXuWER9bvFDTuGSEdKO5bxMamSbudCYkxtLe3E2Gd0KP84x//wJ133tnnhHVCEhRCTffSVS/HVGFoGpS4mpAqPdhe2aRXtn0Ooi2s9w5yoQ/U7ZcLZSIQ9CA264QeJ1WhmtDbYUFb+HOrGZoG02OCp85muO6A5c9T9gmbaROTK+2VTXpL2xO6hFzsg1wsE4GgggjrhB6nT24wJWjAIhIKwVnl548W7Ik3I2OHwVAIZygEZ0afMu8klAPBROd9K8iB9somvartc5/29nY8+eSTePLJJ9VeuUsO9IHYZu3t7bxDDpSJQEgGMYMh9DiNjY2w2+3EDIZAIBAIBAJBBdGsE3ocolknEAgEAoFA0EYS1nfuTPaxEwKha0hVA04gEAgEAoFwqiEJ63fffTeWLFnSecGprQGl+aVoaFN7yGhrQGlpAxIFUZBueEKvgmjWs4CwSUr3S3bdDEtb+C/r2VMrDWMXvsSXYngeFrSFj5dWtDQ544wzepVtsFjWM844Q+2lSS70FcvQsIv+Wp9u7WZ6W58TMifd+6XPwIhfRO25d0a6z55TGUlY5zgOL7zwAm6//XY0NzcrQ2nR1oDS/HzkC1epIJ2vdi1A8Yq1mF+gjpADrK6Wypufn4/86tXqEIQegAjrWYByIBiw8Z9rB3++Li+8G2CxK7+E2R1QjiCiLnPKX0i0urm0wvNQcASjcJnT/EJlmuTn5+Pxxx/H448/LnPlhU87I/6VeenB0rAY7GDEv2r/jOA/d8/nz5dl9bCf4fHHH0d+fr46sCY93leMHYVlXhQ18ul6cuDzh9p9ziNNVjQvOxgwsMvdLML9JwlHFujPR2RxJ6rTjl3y8cbS8fc6Qye556WyCPFoNoV6acDQqrrEJmVaZQW085ZgGdB2QYAzGGCxM2DBwB6XiBo+X0VakpeoyDBotr3Yz6neL1qo21sSQhV5KseFhX5eOU4Ul6y92dhE1mCx82nFtXsGWN3goi6Yk3zpuiuhHEHwr62eKkHvQWGzvmHDBnz44Yd44IEH8MQTT+DQoUNybwXVpuWYHW5He3s72ttXoLiVF9anLW7H4mnq0D1PW0Mp8mcBK9rFMrdjBVaCiOs9T6dXcwgA+M9f2yr4D4/UowZBjgMXDaAy7ERh0pddtuGP6NP7PHU8LPxeU7wglwzWDy+0Pwd+SsC2IBwSBGDWD29I/UnzVOjJvmJgL/PAFuA/fkM5ghl/MIWlaW2BMqsw8IVtCEQ5cFwULjP/4TGO48AFbILgY4Vb7id+4MzqBhewAdD7HDsL2lIGD8xwRTlwmzgEbADMLkTFz8pHA3CZZZ99Z+wo9BahNsr7B2uM8FsMqIP8s/EaiIKakFfQwaZQLxUsDUuZV+VIwREUym3jyx3XnXF58yVlaQsMhXWIVDRK9W2saEGVoQzhhIOTgd0g+wiSAhZ0lRMQ6hJ1Ac6qJBOZNGFpC9TNQDmCiPKdJ/uwkxUVNjPMNhcCUQ5Bx91wcwHwXSy0NcchGnDBbBbvEwb2Qi+KagX/YA2MfgsMdUDat7kGrN8LU9o3cjZh0RLWmMAT4lAI6waDAd9++y3Wr1+P119/HT/96U+xerWeOFuMCZL2fBoWL54WM1dpa0BpaTWqS3kNdvXqNjRI/4txWuES3PLlZjMKjX11vDCt49/WUBrTmMeZzLRh1XJgYXgx5POIaYuF31ppJquD2jRHUfcGNFTHNPhSnRX5xOqcuOx9H6JZzwYM6p2CAGV1x76aR1nhqLWpA3c9rB9eVKb+QmH98Jo0BIIksPyh3YkFky7DjCKKgtEkE56SYS4CRRlhkl7GnYSNAK6aWLvZatM/i73H+ooFYy+Dx+xCTbqJqWAZGlVeZKdNE8G2oKhW/OKjanJEFaFSkjpYREI21Ko6g2kBzGYg3BIvLrJ0FSImM2AW+4JFSxiw1fLCPkPTYCkryisrYRSSZXwemCvLY8d6Cve7SQyQCDaCkDheUq6XFBl0vReASSqL3K8lDNgqEpxbLs8bvMArfpHUbaWkeJTVgVobktTHCjcnTBDiYBGR1YUymoBQJHvCOkuDbwZjXF0paw1c5hC8fj43lrbDV9SIoFt2DCvbgjDEccKApllQ1nJUVgrpMT54zJUoj3UwrI5a2DTyS58MJ93ZhKmHM4NnyalI3GkwBoMBx48fRzQaxUcffYRnn30Wv/jFL+I2oM6cuxSzEpmSNDVjwpJ2tK+Yi6Wz5gHi/88Iwqjo396O8EJgwbwGtGE1qk0LULxCdG/GLEX6Ov5tDZi3oFjSmq8oblUKvG2rsLxJPrmQo5MmUqiDHk0L0DpT0OBL4Vej2tSKR0TNfng2ls/jhfuEZT8F6NvCOgtGvkytu+RrkWx11TbB0jK3QjvOgrFbeHeLHQzjg0dL+wVe427WkSbbnrsJoy8sx9Itap/OES+Y8fUVl3MtNAPGHlsiZ/1emIoQ81eb7sjixpaV4z+ww8iW0CXzg5inxnKzxrJzSlAwmkRBRSWwKJbdZf1GGWESX7IpvWzFZfNYffn6xZby2ZaimEDIApUZSL090Vf8GC/kP3sfcqKKZvn6aZh0yM0HJHMfoZ/tDN/nhWVOhEIaK0hZ7XMAlAMOoYlZvxchSbBW+vFClnpCxqIFFag1ASG1ap2xox61KAqHYBb7gvXDK62a0KiL8GOGcjik+5wqMiPkrFKaRFjd8dpsDRifJ/ZcSLVeAizth7GmUukoIi+3Doq8WRpVzhDMrkbNiSZV5EqYVmKsqLCFJG064/PAFnBrPifThwXtN0KvGfhnBBCK+MHYLag31sCtqiDr9yIkmi7SdYgYKQAUHGKDU0UwS/eHiBVueQdnOsZZP7z8jcyHFU1sJH+t91PyZ1LMTbiPVe88u4X3s9gZvj8UnSuYUanvYwLQ3t7Otbe3cz/60Y+4fv36SZfBYOAMBgM3evRorrKykps5cyb3xRdfcGJ46VoxlwPAYe4Krj28kCspWciFxb/t7TE3+f9yN9Edc7kVydz1/NtXcHMBDpjLrVCXT10G9aX2U+epDpOoLMncAb6tpCuFsp8C19NPP81xHMft3bu3U9dvn6G5r776ijtw4AB34MCBOH+967fP0FzXEOVcZnBmW4CLchzHRV2c2RYQvFycGeBsgagsrJlzCT8DNnC2AMdFXTY+TNTFmc0uPh11ulyAc5n58PEEOJtNjBdP1G3lzj9/BvdcG8d97ZmuGp/a1/SlX6uTiSNgi9WF48T6mjmXUN9owMYBNo4vsro+/G+pPgEbB1ncgA2c2RXl6ya1iZiHkGbUxdm0GyRtRowYoXZKgFCXWEfyZdfrgBSIuswcbAEu4NLvRy1SLXeP9BXvy9mktuHTgZQuX2+pHbkAZ4ONC3BRzmWzcfwtIfor751skErbxeoWj6Zf1MW5AkJ/KtoiIIxVeXsI4WT3XVx6AmI4PX9tlHkpfLTKLifA14ML2FT14BHHqz5a9RTHV+bol1sYW9B7RvKk0udyAi4XxzeDXr5CGyme83Ji5eIv7f4Q3xVabd0Z+HHI30vS7xTfT/rPpABnAzizS7iP5WNEeK5IaQZkz2tCUhSadY7jpL/9+/fH3LlzMXnyZIwZMwZ//vOfcfbZZ8uD80xbjPb2FZi7tCftv6dhcXs72ttnYqWW+UzBBBQ3LceqnlZZlyxEWGYz396+GNOSlf0UoK9q1lm6Ct7KKIJuK68poxwIuq289qDKCVOAi5mrgILRJNqysmgJm1HUQsNfzpu0sH4vQoI2lrEXKtMFJZhkyDIHnw5t96HCrb8cTdkC+O9/38C88cCoexjJbjLRxdw9Sp2MCgY+j1zbzMBe5UVlNAiHUF+KKorZZbJ+eE0BRX2MJiEqS8NSFubtPq2UkLawrM344JFrqKlyVJrDaGH5tlZon7oN3mY3KGrQrBXQXJ1PA6q8EmZPHVrK9fsxc3qoryBqn3kNLktXwWkKgJPS5U0WJA0024KwuQgttB/lbjesFAu/N8SbR7B+eENa5hhdCQOfR888Q1ZvGawfMFoFU4yYq3CPWhXtAQBsJCTZMkddZp28ZPbRzsLUNZKqvGQeCeoFAAzolnI4rPyKXfwKEd8vCTcMatQTcasQWcZkg80MeMriN5hmBEOjpdwBq2Dyo9dejC8s/Kflz5vouKR9AjpjmHIgGA3ABicKE2nK04I3gQkEBdMn4X4T/RK/n/SeSfyei7AriqCDv49FMy1KsL2vFMychCS7vt/7EHFmMBzH4YorrsADDzyAPXv24Pbbb0ddXR1GjVK+oEvl5iltrWgumQBNK5MUaFu1HE1zZ2JawQQUNy2AS0hachcD6vm3NaC6oU0Q2sNYWNIMYb+rwDQ4FwILTEpBeHV1NVbrpSkLp0tTzGSlbdVyNKm8FajykUha9r5P3xTWeRtytc0q71UPJ9R2uvwLvogSBKIQEDE6hGVh3oTAVcNvHi0Lu9AoT5ephzPO5pgFY/fDWJN4yVduBrPzOavGMmr8ZX0+yTcZVCY5LF2HcKVyiVtuehG/yUmYrFAAU+9EyFaLcooVTripAwJ8WvFLqBQcwVpEqnReyJkuF2cIb+pRBo/aI12oclSa1Y5Zosf6igVdF3uR1zuF8S1DbirB+r0IIQKjQxAOWD+84j3ERiRTgji6qs8ZHzzQMfXQFIRZ+GGMlVGwm2bpekC4RxleShaEF6XATxkrVZNx5QkplNWNYNQFs6cs/vQVDWJCVJyHfr0EYczpLITBYECh1o5Owd49XnEQQ5k3L+x2HSxoSxVQ44Y7yCFgC8FZ2Il+B4RJqRPOQgMMuhtbefMsX0UjXDp7FJTjhIKxUim4MnZZOSkr3MEoXGYPytQdnMkY19h3IplLJns/QeeZxNTDGbKhtpwCK5jC1SGARgcFxl6GsMrMial3xpvfEXRRCOuDBw+G0+nE2LFjMXLkSLjdbtxwww3yIBKzm2fFNkWalmP2kvnpCetNC2AS4puWz0Z48TReYA0vRPMswX1BMVYojpbR8S+YACwwCeUxYfnsJXFHRxbMX8vbo0sbPPMxCzN5zbZWmskomI8lsvTmtRajRB1GgTIfaTNpCmXv6/RJYV3QBGo9iNiWcNyLkqXrYlpGvxchW23M7lS2AZDxeaQNZ0JE2CWhR3IETftByTcy6cBxJ8Gd5MAhe5p1XjCjwAqrBGq7ct5GVXTT2OTE1MNrqoWDEl7knjIUWqpQ31KBxmgQbgrCy8OGCopVbRazwt1YCa/WiQ9Wd1xdYlfiSU06iMe2+So4cMJpD52C8SOC2Ea1bNJjfSXYNdc6KOFeUQm3LI06SVgVtLW1sT6STyDiJwIyuqjPGZ9HOiZVjaYgzPpj2lWqCGaE0ULbUW90CwIMr9GW6qEW+K3CxJ2x88I424I4GZcyQq6z10db848k9WJpP4zBWPsFbIjbCxNn7w6+L2lJYlTnLazM6G36ZBhtYTNVBMWHiNUdgA3C6ltG8HbqQWkMBWDTWNXkBXVei1xeaUbI64+rn3qcWIWJKC+ka01iZKtYcjIY4/GTbgb1Xl65lOz9xAePfyax/AMAZYUWVNW3oKIxiqCbku5/ueKKpe2y+5uQEqLd8I9+9COuurqau+uuu7gNGzbE2RWTi1xddT322GMc19ds1kW7X9HGLyCzoVbYeka5gMsss1eMt78VbXMDgQC3VGYfGQ3YOJsrwIcPBATbwwDnEu0F+UCcS9MQsqsQ7VEDXCAg/837RgMuzuUS7O+jUS4qt+PnolzUZePM5pgdY8DG20eLRAM2zmxzxdowEODDBmycTcxEYWPdedKzZeVtNmNFFusf5aKZdEPUxdcrYBPsSQOSPXgykpe7h/pKZvMqxIzL1yy3wVbs1+Bk90iACwSWSu0bSLFdUiFh20m2t2qPmJ/6lou6bDI3wa5X3lYKu23VvgfBjX9OCGE0bKFTtf2Ot5mXPHTqFeUCLhtvpy5ziytjVLRXVrnJxoh23nw8uf20mGd8WfTRth1XlSnBsyFhn3N8XVw23k495qbqb6G+yq7TGBOabvzeI/E+t0G5hyNmRy6LkxFRziXvk6iLs5ll/Z7w/cSXQ/OZFLDxfSgEi7WF/P6OcgGbjXMF+Hs6EJDVj5AQSVifPn0699JLL3EHDx6ME6bIRa6uvB599FGO62vCOse/oM3CxiFJkBQI2GKbx8zyDaCaggkfJhCNPbAhbdThH4Q2fuea4Ce/tF9MXYZ6ExEnChH8y9gVFV8GNkHojKraQvXwjgY4m7QJi68n3wzKzVEBm3KjVudfaDGSvsRVKMsSK1OcHMEH5v3VBRb6MibQxQQ8rWS0kMqdMI/u7ytxTCuKExDvFVneYmjFRlNZuV0BfgIhyytb6PW5um/l5VL72QLy+1U+BqKcS7rnBaFMus5RpBF3CY3Gb27kBVp5u/GPBJ3+jstLOdGS5xOrlyyOYqOgskzSuNG65MKnRt4cx48dl2xsxcZcovqIqDZqqsNp9kE8Ce8X0U3WNuo6l5VplEGjrdRtrb745hI2IwdcynsqSxPSqOp+Uyer+X5K+kxSPx+Ed5a8reRj1KyeAPJpxCYsBDmG9vZ2Tq1tJxC6kyeffBLPPPMM9u3bp/ZKi0V/fRFz51Ri6NChQBofW1r01xdR+/D9amcCAQBw1lln4fvvv1c7ZxWGpkGJ9thZQl3ursgjI1galiqgUfxYUA6ibrveSM70d5bo6vqo+7yr8yMQ0iFugymB0N2kKlQTCH0O4Ux2n7ELhYLuyCMJ0jntLAO6yovKxp4rS58nB/o7q3R3fbo7PwIhBYiwTuhx+uQGU0Kfob29HU8++SSefPJJtVfnoRwIan2SvROIZW1vb+cduiCPdKGKzPCUGWCo8sHYKH5+PXfp0j7vanKgv7NKF9cnF+8XAkENMYMh9DiPPvoo/vSnPxEzGAKBQCAQCAQVRLNO6HGIZp1AIBAIBAJBG0N1dTXRrBN6nIaGBqJZJxAIBAKBQFBhaGxsJMI6oceZM2dOHxbWWdAW/kt3tkBftYVMXEeWoVFf54QnBNhcUbhs5+E3v/kNFi5ciH79lAt8hw8f1vXLdR5++GEsWLAAI0aMUHspYWjQlPiF2vRJOR8CgUAg9HqIzTqhx3n11VdRVVXVh4V1AGBgN/hQofNFub4BC9pSD2NQVUfGDkNZGK5oEOV+Cwojtajq+AcWLFiAiRMnykMCAO68805dv8SwYOxVKPOEAJhhczXCnak0nJTY5AS2ADhhdvLVV1+huroaPp9PHUFB/LFwsvTMLkTlxxqyNCyFTvAfYrQhwLlxcYr5EAgEAqH307vUVgRCb4VtQVjnM959BtYPL4pUx50xsJd5YAvwJ4BQjiA+/cU5OHz4sKYwvmHDBl2/ZDD2eqAmCI7jEA1UIuws5I8L7BIoOIL8J9fln7o///zzccEFFyAQCChCK2HgixhV7cSnxwVsQMiJenm5KQeCURfMtgCiwmQvtXwIBAKB0Bcgwjqhx+G4vr+4w9Q7YZIJdX0R1u8FKssV2mLGXgaP2YUaWdVfeeUVlJWVxRxkJPJLhtXthlXInLI6UGtTh8g2DHweG9TdOmPGDPz9739XOsphfIiLJMC0FMFlAzw+5SyD9UdQWWNVCPhJ8yEQCARCn4AI6wRCF8AydlgsBhgMFtgZtVDHgrFbYDAYYLDQYBg7DDoq4LbnbsLoC8uxdIvap/OwjB0Wg0Eqx9t0rEysGIa2KH6DZWC38HEsNBP72A1Y8LI6L04ydgMMhkKUeQCEnKiipRQQDAZx0UUXSb/lJPKDoswW0AwDu8EO7ZZj0RI2oyhDK5iU8mF88GislkyYMAHBYFDlGkNfVmfRAiMcNS6YPT5Zfiz8kSIITSuhlQ9LW/gyx5qbQCAQCL0cIqwTCFmGpS0orANqGzlwXBAVLXUyoY63Ta4rqkWU48A1GuEr8yhMKeRw3ElwJzlwAHY+Z+WF6SSX9fmd6mTiYOwGFNYVoTbKgeMCsIW8+E95UDDD8MIvCHuUoxY2kxCJpWEprENRbRQcx6HR6EOZNAlhEUGlJFBa3UK6MMMV5RCU2Y63tbXpboxM5Me3q1jmRhh9ZZrCMgCAqUeksjGjDZyp5sP4tPvtrLPOwvbt23Hs2DG1F6+NR3xaAADWDxitAFWOSrMHdaLEzfoRKZKvWPBo5UM5guC43P/oEIFAIBBShwjrhB6nT5nBMHYUeisRDcpMMgCYBRUvY6+CtzKKoEMwaaAoFJn1NcCULYD//vcNzBsPjLqHAcdxSS/m7lHqZBSwtAVlYX4To5USNMRmQdC2VsCGECKSar0FRRUOUGBgr/KiMhqEQ6gYRRXBbBZs1BkfPCaVHbY8XRl79+5FXl6e0lFA14+xo8pbGSszKFBFZqldFbA07L4KxeZS9YRGfilIOR/1akmMvLw8nDx5UnvDtL5aXZLVAQrllWaEvH5+RYONoEjdiMnyIRAIBEKfITeF9bYGlJY2oC1VdwIhJ2BgLwvD1Sg/5YNBvVMwD2Fp1IUr0ShXe7J+eGUaaTVyM5jsaNYZ1DtDsNWWg2IFc5w6ICCVmUKRWQzLgq4Hyq0AS9chrNJUy23U47XMLOg6D8wKG/ZMYUHXhVGpaFel2U3MmYHdb0SN6uxI9YRGfsVIIx8dE5hksC1FOrI6C78wsYO4oiGscDC+eBMYAoFAIJw6ZCysK4XmNjSUlqIhVSmaCN0EGUqBqRfD+OCx1coEWha0vU7SLmttwKSrnCo3JXIzmKxo1tkWhAF4ygphqapHS0UjokF3XP7hFhaMvR5GtwOUlsDK0uCLTsW0zBQrs233wxuyoVbDHmP48OHo6OhQOwN6fhoTGpauglM9yWFp0H4KbnHVIl1SzUdzchKjo6MD/fr1w7Bhw1Q+LPwwagv4rB+AfBxYUWELwVlvh0/DBAYJ8yEQCARCX6JfWVkZUrluvvlmfPfdd1LE2ViOVaK03bYKyzEbMwok78QUzMfatfORanACodcQbhFMFxjY7X4YiwBzpREsw4KN8CdlQ/CnaT8AMyrLAVZnQ6DcDCYrUEaYYIYtwCEYdMNhBVi7BfWikTooGE1AyFuPlhrxvHQWyqLT4IteiXKwYBkfPOYiUGxMWGf9XoR0NM8FBQX4/vvv1c6Anh8bEc4YBwAWDE2Dz17WcAwNmi2HQ5gcsAyd/ibLVPIBPymo0zGBAYDdu3dj9OjRGDBggNIjZucSB+uPQD0jsFbYAI8HMGqJ6gnyIRAIBEKfot+UKVOwa9curFu3Du+99550rVu3DuvWrcP777+Pq666CrNnz8bIkSOliDNmA8tFab2tFZg9AwUA2hpKkZ+fL1yCtl3QpDdU5yM/v1qhWdcMDwBohatUy12grQGlGvEU6RHtfa+gz2jWrTVwwYlCgwGWeqDG7QAiISDSAlgpWGtcgLOQPyHGT8HhMPLefjZm/9DlWFETMCFcJpjNWHjtuvrjQbZat2yFwAq+6AYYLHb4KQccxghCiPAbUVvCACJgKask3Pu9IV3Ns8ViwebNm9XOgJ6fvF3tflAOB4x8w4EFxZ+AUuaEs6xQMgUq9BnT32SZJB9AOOWm0IkQPCjTOXWltbUVFotF7awjqzOwGwwodHrgLFSlZ62By6w/KdDKhz+FRzyhh0AgEAh9AcPu3bu5yspKfPzxxzh48CAMBoMkPHEch9tvvx3t7e1YsmQJ8vPzYzFXVyN/5Uy0L56G1dX5WDmzHYunxbwVYZytKDUtQPEKIUxbA0rnAUvU2nVF+OWYHV6L+QW8AG5aPhvhJcC8ecCStRPgyl+Jme2LMQ2y9JYA80yteERwX11dDSwWwhBylr///e+YO3dupzfK5fYXTE8hWBqWKqBR/hVOGRs3bsRTTz2FZcuWqb0S+vUW7r//fkyfPh0zZsxQe2UV/XwY0DQlrTIQCAQCoXfTLz8/H3fccQcoin+wywX1QYMGYdiwYfjZz36mFNQBYNpMzF26EqvRhtbmuZgpSsRyjfespUBzK6/dLlkIp5bUrBs+ZlZTMGM2SpoEd/Ca/GYsxSwxnmkBmppa0VYwAcVYiln51VgNYBoR1HsFfUazfgojnbfOMv9/e/8f5cZ13/f/z5FiM3RsybYUR4kt/+LA2hXhxsdpHAVoXdP9VALoPZJXOUhq9RytQioYVSZNIPKycvPdWMpKcc2NjbGWOgpgKtI6setTyILkQsaUaSqf9gCW1aRyazBYGrP5QTuqjlxJlBxxo9jifP+YAXYwi/1FLneXu6/HOTjmzr0zczFLmS9cvOcO9kg5cpNmr/e973284Q1voNlsRpsWbTsfPP3005w4ceKMH+y0XAudx19nvcKAgrqIyKZxAcCv//qvc9lll3XXN+6EpxtvvJG///u/J5Xq9z3s1Vy79xjHj36Dh3deOzfDHX+Y65uzzM7OMts8xFXR3cJW2j/sqkM0Z4P9ZmeZnT3M1VzN4dlZZmev5evb/ZKbo9H9RGTVmYMJSmkDY6TCwNTS63zfe++9PPDAA32//VisbaM7fPgwR44cmb8k5Cpb6Dz+Ouudew1ERGQzuADgggsu4MCBAz1PDvz5n/95XnrpJfbu3csFF/RfNObqa3dy8LqD7OxOq/fOiM9842GemGvpbxn9Z77xME/sDT4QAOy4gp1PHKQQTeIzk+ybnAGu5vBsk0NXHeO4itY3PM2sn//8kOjhhdaXX8zrXvc6Pve5z3HhhRdGmxZt2+h+//d/n0suuSS6edWt1XlERGT9dVP4Bz/4QS6//HIuu+yybq36pZdeygc+8IHePcKuvpa9hEpgduznUzsPEg/KU24+vnPxmfLF+j8xtz3+8PU0ewrir+Zw8xDHruvcYBrcTLrjCjgYD7bFefj6I+zXkjMiIiIicp4yZmdnu9Oaruvy8Y9/nJMnT2KaJuPj47z73au1ZpxIf1/60pfIZrO6wVREREQkoqe+xTRN4vE473znO3n/+9+voC4iIiIiso6MW2+9VQXDsq7+yT/5J1iWtXlm1h0LI10CstRWdLOfi2NPMJ4v0SBLod1Z69zFTsbINyBb8ygu/4AiIiJynjOmpqYU1mVdzc7Obq6wTrDW+MQA9RUka8cySDcLtOtDVJMxWmPhYO5gGRWGVxT+N4K5DxokCrTDa6+7NslYPnhqaJb7C0325kOPSs3W8DoXoPsByD/Of82U+f8W6kv02JzBBycREZGNwXjppZcU1mVdffnLX+aWW27ZVGHdtZNMDNT7zoK7dpJYOdMbXB0LI83CgbIb/k3sZIxypk19qfURN5IgbM/7ZiB4X1PFlH8tHItkukmm3Wf5R8fGYohiZ7mZ4JrNfQMR5WD5HeY9oVVEROR80X9NRhE5Cy7VcnzBx8SbuTpezwyzg5UukSiM9g/qgDORJz6cAkxyde/8CuqAMz1IIQulitOz3a22yIwGQR1wp5s0smMLhO8BhkPrQrrTTcgOL9AXcKdpkmV4wQ4iIiIbn8K6rLtNt866W6UcHwQriWEYGEkL2yUoCTEwDIOk7QYzvwZGLE0JaORHgn7gOhbJpIFhJLEch0opy7BpkzT8bZ1+QW+c7rlsHMfCsIJQ7DpYwTnDL//8vWa++BEuf/sQ9/9VtOVsuUwzQG60QKJUYS6uu1RbgwzNfWqhWm6QXeBTjgOhDzOL9wVwq2Ua2eEFPwD5gt9J53qJiIhsMArrIqvMrZZpNFsw6j8oqJ1pkp9wglnxNoVEgsyQCaQoeh5eLevXc3t+6YdrJ4mNw9iUh+fVGZ4ep5QdJmXmqLcLJBKZnoBrJ2OMD47R9jy8qQEq6ZIfYl2bZCxNM1Pz27w2hYR/k2q/mXnPO4132sMDnvlial7A7/dK/dEz0cPM51ZhIAXmEJlEifHuJ5IqrcGh0DcMVcqN7ALfSDhMh2P3on1ZVpj3+d9U9NS7i4iIbCAK67LuNtfMul8CUws9ydMciIeaq5QJh21wKiUSmSC0OlZQzx7aH0gM+j+41TJ0+gKONRLUrwelJKbJYCLBoBl8aEgUmOq0LcHM1vjBDx7j5nfDZb/l+E8kXeLl7Lkseph5OlkdTIYyCRrlKv4XDS0GQxfCH+9g37G69nRwjODnpWbNlwzzIiIi5weFdZHV5FYpx3tDpDvdXDBs49qMlzoz7Q5WuklhKlTPjsNEnqDdxd89aHVtxpsZpsKz5PM+DLRwu6U1E+QpMLpAgA2XwazezLpLNfjAAWDmxsg2ylRdcCrzS2C6H1p69B6j2ze4pv0sFvxFRETOJxdEZ8r00mutX5uJWy0HN4J2OEyU44wFgdptNYgPhGJntTx3Q6VTodRzc6WLbY1T6pa9uLQacTq7zwv+uNgj+e42MzdFId4kHfOD9UhlsHcFmohwGcyqzay7VSA8xhTD2Qb5CYtKuAQmEL42Xc4ErYHwDblVyo3OB5zuRmy7U3feP/i7th2qlxcRETk/aGZd1t3mCey9q8C4ro2VHIexznKMwY2iODjBDafz6qqb00GJiINlVRkYhERmANdxgzA/DI6DGwT/LtfBtqtAgswQ3dn0AeLU2n6wrhcXDupEymBWi1tt0VPzA6SGs1Aq0f3UAd0SmdK4HVwbn+tYJMcHQ98GuDgTeRqRun3HGqEV1Mm4zgT5SJh3HYuR1sDCZTMiIiIblMK6yKoxGRqD8aBEJDbSYngqtNa6U6FEkwqmX48eratOjVIgT8wwSE7AaDEHrQa0piFl4lRK0KyA6degp0YLkI/5K8ZUTXK5Ab971fVrRtwq46US6ZEklmXjhFPwOeevdBPLl8jHIqvXpEYpJObXk5u5Ou1Mi/HgmwD/24BhpjrfBrg2SSNG2l86h1i3HCdGuhRnOOWv7BLzO5APHSeWLkW+8ejQajAiIrKxGb/3GXuzTGvKeejArb/Jl770Jfbt27epHoq0HK6dZISpviuznC3XsZmYHvIfBuS6OG6VSqVMqRl5GJOIiIhsaIZ3DmoQnn76aX7mZ36Giy++ONq0Jel69Opcj3vue3CLhXUHy6gw7BUxHZuRceZmjVdV/yd3uq7NxEiL4foCT0kVERGRDUdlMLLuzsHnxQ3KZDBRIm0YjFQGzlFQB0gxWsvSLMdCK7ckGZmA4SkFdRERkfOJwrrImgkewON51IvLW/v8TJmpIvXgXP6rTr2Y667dLiIiIucHhXVZd1tnZl1ERERkZRTWZV0pqIuIiIgsTGFd1p0Cu4iIiEh/CusiIusmWOfdMNBS7yIi0o/Cuqy7zTWz7uJYSX8FlqS1Do+3X+/zr9RcWF34wUQOds9TlVZT6HoZSazIeVy703auwrRJrl4jy/yHRC2HY809+Cl5zq6RiIisp80V1l2bZNL2H9e+nO3nm83yPjYzZ4J0CQq1AolGk+m1/mWt9/lXzF8hp5aF7AJp1bHSlKMbV4ljTcBoHc/zaNcyNPOxnlBu5urUsuE9zgF3mmZ2+IyW1EwV/WsnIiKb19qG9Xlh08VORh5Fvph5+5/n5r2fFV6PTWIzzaw7Ff9R9y1y1L065+DhpIta7/OfGYdKqf/MsutYpEvRrasnVSx2l7M0UznG1iH4OhN54v3evIiIyJqHdXOIDGWqnTDqVimTYWi5gcLMUT9nD5JZB2d7PWRjCQXLUrq3BMW1LZKdBxQlre4Hsm4ZQ9LGdfw+i5UzdPoYRhLbcbCM0Hn6nt/BCpVJ+CUf4Q+ELna3DMQgaXU+PM7tZ1h2qLTGxnXnSleSS9SGLDreDqdCqc/MsutYxII31MjHMEL7LnQ9+1nWGABwmW4mGFzov79pGyvyvsNlMp3x9fxOo8fojCfpj8dyoh9UwmVMNo5j9SkPCv3OkhaVSCsA7txY+5X3iIjI+WNtwzomQxkod9Kp24LMEOa8f/SCMBHMPNuW/w9heCa6b38AWkyE/pGa92+Ua8/9I9+vfU2t8HqE9byPIHxErlf0n/iNqPPQnk0hVeyWJGRrc08Kde0ksXyJeKGN57WpxUvkY/7vNDVaIAFAmSqjZPwf+nLtJLHxQcbaHp43xUAl3Rty+54/xWghOGi5CqOZ4Hz4oS8ZI1+KU2h7eO0a8VKeWNLGDe9XakExKAdp5ImNVBmq18gCjdL4/L+bgSXHG3Aqpb4lMGbo/SQKbTzPf0+LXc+o5Y4B/BKiVmZqwW8jmgxRDEp2GqU0SdvFzE1R61yn4Lh+aUqWWp+JBX88MDblP6hqeHo8NB7/9zE+OEbb8/CmBqik518bx4qRLzXI1jy8qWGIfvPg2iRjeUrxAm3Po12LU8rHFv0QKCIiG9cah3UwB+I0WsHcXaVEfMD/58zM+XWjnufh1eLkJ4Ko2cjTGvbwvGL4MIv0bzI45W9vFyA/Ep7dcrBiLcY6+7UzlHva196Kr4ffEyuWJ17rvM8m6c7sW+h69Q0kssZcquUGkGBwyARMzMEE0Jj7kAbQiDOQ8uu36/3SomMxUs7QrneeQuofJ7HgNPB8jfgAKTNUHuNW8Yc26H+bY5r4Qwt928NcCO1IZIYwCfouZNnjjc4sL2WZ15OVjMEPuFZlmGK/ax/o/LeZGvY/Qfj/3ZqkclMUEkD3g4vD9HCf//4ci1g5Q7seKr2B7ngca4Rypk09Fzzd1jQZTERn+h0qJaBzQ6qZIhhOl1st4/9a/Q/+pjmI/2utruv/14mIyJlZ87BOaphsqYKDy3Qz9I90eKY4XYLmtP8PS6LA6Lx/9RbrP1dGYg5lSDRac/9AudM0KZHu7BfL0wi3r4eVXg+C9xG6LuZQhkSp4s+kL3S9NrBNM7Me0uze2enSakQaA50PaeAH5oVjoos93iQzFZ6pdamWIbNAzdTc+efMC6lui/5DaxAe2sqtYLwLlMAsbJnXcyVjcB2s6gCjxeWPAgj9N2mSG8sCDfITDq4zzcC8QzlY6SaFnvE4TOSD8bg2480MU+EPC/3K4txpmqEf+3EXvkDr+/91IiJyRtY+rJNiONtk2qlSjgf/SLs2yViZTLsz490pDVjASvuHJfyvhruz1us+A70K10M2sIVnoOeF54X0CW2uPUI+GuRWKphxnS86m7tCKxjvQiUwC1vm9VzuGFwbu2pS7Mxmr0R8YG6f1DBZgFKakemB+f+f4lQoZcdCJTYutjVOKZhccP1PET0fLOyRfGTb8vjfNPSx6AdCERHZqNYhrENqOE4+HVkBITQj3vkad1HL6O9WyzTCs3bmAPFGnp6Kkg1gxdcj8j7mvc/zzGacWZ9jMpTxyzRargu4VFt+Gce8Gd6F9MyAuzi2TRW/HAX3LOZKzSG/Rr7R8g/jVv1Z69DfvTOy3PG6NuMrKIFxbBtnuddzOWNwbGx3iFyQoF3H7lv33tH5tsJfcSdBoecrrE6Nf4LM0AJvqDMT7zpYVpWBQUhkBnAdt3c23HWw7WpwrMivuPM7o0TF8fv6ZTHhLv59CY2W69/fU/WvhV++JCIi5x3vHPi7v/s77+TJk9HNITUvS9arhbdk8cB/JbJZL5EoeO12wf/fTqfQzwv2D7YBHp19w8dZqM85dE6uR8/7CPaNXq8NqnM9fu8ztvfCCy94ExMTnud53smTJ8/q9Xufsb2/+7u/8370ox95P/rRj+a1L/T6vc/Y0SGemVp27u9V5PfZLmTnfl+JrFcIfkk9v+fOxnnaXiHR+bsw9/c/kS14tfAufc9f87LdbYnueee0vUI2Efq71vn7E94PL5vtPXahMLfP/P+Glh5v+H33H1eg+/c84WVDF3Sh6xnqsegY2uHxd17hE4TUsgmv0A5dp77n8/xrNu9adITHU+sdjxd5n4V2cP0TXrbg9+1V87Kh91boXsvQ37l2odtn7pgiInI+MrxzMK359NNP8zM/8zNcfPHF0aYtSdejV+d63HPfg+y/ZYQvfvGLjI6O8uKLL0a7rsg99z3I3hszXHTRRQC8+uqr0S593XPfg4zdfiC6WWSFHGzb7M7Ui4iIrIZ1KYMREdkcgvXoLQfXnmZAQV1ERFaZwrqsq86NviLnp+CG19I4Ewydt/eNiIjIxqWwLiJyxvy18T2vvuga7SIiImdKYV1EREREZINSWJd1pzIYERERkf4U1kVERERENijj5MmTmtaUdXHPfQ+yz7qRYrHI7bffrqUbz4BrJ4nl/YcCFdr10BMyF9bdJ1GgXc/pQTkiIiIbmGbWRc5XjkWsnKHteXjtDOWYxeIP53Wxk8bcPgrqIiIiG57CuqwrLd145pxKae4R8maOsWyJcTv8bPpejhUjH68ppIuIiJxHFNZFzrngwTlGEj9LuzhWMvRzp5uFYRgLvKKz5g6VUoLM0FzsNgcTNFoLhHXXZryUJUt63vFcu89YREREZENQWJd1t/ln1lMUPY92AfITDo5dxSzW8bxIjXmq2P2mYf6r2PvAHXeaZvjnjuY0/TK3M5GnkYXhYQ/Pa1NIlEgnbVzAzPUZi4iIiGwICusia8QcypAojTM9tNZlKC7TTUgMjpJK4T/IZywLjVbfYC8iIiIbh8K6rLvNP7MeMIfIJKIbQ1ZSBmMOEA//3BEfWN4HAXOQBE2mldZFREQ2NIV1kbXiVGnRoFxdICGvpAwGk8FEg3CJuttqkBjsF9VNBuL0qWePM9Cvu4iIiGwYCuuy7rbEzLprY00PURzLBqHZwXai4Xkl/FKW0rhfd965gXRsgcLz1GiBRCmNFUzPOxN5KIxGPgCIiIjIRqOwLutq0wd11yZpGCQnBijmTEgNky2lSVowlOofrJctVaSdKRMzDIxYmUw7PPvur6luBDeRYuao17KU0n5ZTZoa9SDYO5a/rRPkRUREZONQWJd1t6kDu5mj7nnUi50Y7a8MUy+mlldbvgR/JRevz2ouJrl65MFH4TKb7nggVfTwvBqDKmAXERHZcBTWRbY4f531CgMLlNCIiIjI+lFYl3W3qWfWzwP+7Hz0BlYRERHZCBTWRUREREQ2KIV1WXeaWRcRERHpT2FdRERERGSDUlgXEREREdmgjN/7jK0aBFk3//bmf8Phw4e54447ePHFF6PNK3LPfQ+y98YMF110EQCvvvpqtEtf99z3IGO3H4huPodcHGuEdKkBiSy1+lrc3Lke51yIi52MUc60u2u99+dg2ya5RfssZLFz+G35BpAo0A4vb7kAxzJIl/w/Jwr9jikiInJuGD/84Q8V1mVdbbmw7lgY6SaFWoZyukymHV0j/Sy5NslY5Ljn+pzL5mAZaUrLCL2OZTA+uHif/hY/R/i4rp0k1hrrWXd+IZ3A3u+YIiIi54rKYGTdbbUbTJ1KCWjQIkd93sOMVoE5/7jn/JzL5j8UqpaNbu/lOlZ3JnvlFjuHQ6WUIDPkXwAzN0a2NI6t50GJiMgGpbAuspZCIbSUtnBCTa5tkTQMDMPASFrdAOlYnW02ruP3SfZLl47l9zOSveGz7zkdrOBcSdvFsZKR/VxsKxkczyBp2fhNc/sZlh3sF4zNdbGTnf7hd7YyrmMRCwbcyMcwjLnrtNA1WjanQimRIcjqgMlgokGr73FC1yBpUYk243+LYQXv2TCSWCsekIiIyOIU1mXdbamZ9VSxO+Obrc3Vjbt2kli+RLzQxvPa1OIl8jE/PKdGCyQAKFNllIz/w3ypIp7XptATRhc6Z4rRQnCgchVGM8E5mKvpLsUptD28do14KU8saeOG9yu1oFj3j93IExupMlSvkQUaZzFbbYbGmyi0uw9sWuwaLZc73YxuAqA5Pf8gjhUjX2qQrXl4U8MQnel3bZKxPKV4gbbn0a7FKeVj/T9IiYiInCGFdZF151ItN4AEg0MmYGIOJoAG5Woo+DXiDKRMcnVv4ZppZ4JyfGDJGybDGvEBUuHSGbeKP5xBP/SbJv5wyoSHQ3a45ybVRGYIk6DvqlvmNVo1DpUSQJbhFGCmGI6U1bjVMv5lGsK/TIP4l6kafAshIiJy9hTWZd1tqZn1kLnZXJdWI9IYaITrMxKDS4Zwp1IiPrzwzZL9ZpATg5Gjui36D2ehcpG1sMxrtARzIB7dBEB8IHoNpuk/Bz/HXXhACusiIrJqLvA8D730Ws+XLDwbPS9IL8qhUgpmgs9GMEM8X4IVDWdVrdI1MgdJ9IRpl1bjzN6XP7PfxzI+VImIiCyXZtZl3Smwmwxl/JKOluv6JR8tv+Sjs2rJcrj2OKVIacoZMYf8uvhGC384VX9WO1oLv0Yc28ZZpWuEmWMsW2I8qCv3r9nY/NVxOteAEhUHcDtlMeEufp1/o+XiXyb/Gwm/HEhERGR1KKyLrKXQyiyN/ER3lRMzV6ddyNJMxzCMGPlmlkKwFrozkffLUhp5Rha8edGv6c72m1bve06HibxfxtHIj0Ru0jTJ1dsUsk3SMQMjlqeZ7Tw8aG4/Smksq/fYtj3iP2yIBvmRzgoyYf6KMelSsNLLAqvGdG6qbeRHqAzkSC1xjXotfo5UsU2mHMMwDGLlDO2+a6yb5Oo1sgkopQ2SE9MMBjXr3Wto5qi3C2SbaWKGQSzfJKs12EVEZJUZzz777Faf1pR1Zts2d99999Z5KNK54FgYaagFK6eIiIjI5qCZdZHzlGMlsRwXXAd7vNmzFKSIiIhsDgrrsu5Us35mzEEopWMYIxUYm6JvNYeIiIic1xTWF/Dxj3+cP/uzP4tuPu899thj/NIv/dJZvb75zW9GDyvrwMzV/RV16kVyKdVJi4iIbEaqWV9ApVIhn89z//338y//5b+MNp+3Tp48yYc//GF++Zd/mRtvvDHavKg/+ZM/4Vvf+haPP/44b3rTm6LNZ+zzn/88n/nMZ1SzLiIiIhKhddYXeH30ox+lUCiwd+9e/ut//a/z2s/X18UXX8wXv/hF/st/+S+89rWvJZFILOv1Mz/zMzz22GPce++9vPGNb5x33LN5iYiIiEh/KoNZRCew33zzzd2SmNOnT/Pd736XSqXCQw89xJNPPsk//uM/Rnfd0N7//vfzO7/zO2SzWU6ePBltnufv//7vueWWW/j4xz9OIrHAg2DOggL7VuEvqWgYBv1WbHQdG6vTbrucOnWKT37yk5w+fTradU2s1/lvv/12nn/++ehmWKJNREQ2p1UN6//4j//Is88+G908z3PPPcfs7Gx084YUnmH/zd/8TXbu3MmNN97IQw89xJ/+6Z9y8OBB4vE4//7f/3uee+656O4b1s0338wv/dIvsW/fviXD8u23387P/uzPctttt0WbRFYgWL890ecpq45FLF1mcMqjXUhQarnceuut7NmzhwsuWNX/m1q2hc/vf+hILrjm/dnZv38/e/fujW6GJdpERGRziv4rdEb+9m//lt/4jd/gXe96F+9973uJx+M8+OCD0W585Stf4Rd/8Re58sorefe7381HP/pRvve970W7bTj/4l/8C2666SaOHj3K6OgoTz75JLfddhuf+tSn+OY3v8ljjz3Gc889x1VXXcXXvva16O4bVqFQ4K/+6q84fPhwtKnrP/2n/8Sf/umf8od/+IdceOGF0eZVsdSHBdlE3CplBiNP+HSw0iWyNf8BR2auzv+65ec4deoUV155ZU/PtfLUU08tcH4Hy4gFD346N9761rfytre9jVqtFm1atE1ERDansw7rzz33HOl0mssvv5z/+T//JydOnOBzn/scn//859mzZw+mafLe976Xm266id///d/n7rvv5m/+5m/47ne/y6/8yq+we/duTpw4ET3shvEf/sN/4F/9q3/F7/zO73Dvvfdyxx138N73vpd0Os2v/MqvcM011/BTP/VTFItF7rnnHkZHR/n0pz99XgTQ17/+9dx///3Yts23v/3taDMzMzPcfvvtFAoFfuEXfiHaLLJibrUMmaFQWHdxrDSlRIHR0Gz7V77yFdLp9NyGNbbw+VMUPY9a8DTTc2X37t18+ctfjm6GJdpERGTzOeuwXigU+OVf/mX+4A/+gF/4hV9g27ZtXHPNNfzhH/4hR48exbZtPve5z/Fnf/ZnFItFhoaG2L59O5deeimf+tSnyGQy3HXXXdHDbghjY2P8x//4H/nSl77Ea17zGj760Y+yZ88eXnjhBQDK5TJ33nkne/bs4cc//jHpdJpKpcLXvvY1Dh48GD3chjQ4OMhdd93FLbfcMm81lo9//ONkMhl2797ds321nQ8fbNaWg2UYGEYSv9LCxbGSoZ97zXzxI1z+9iHu/6toy9lzHYuk4deRG0mbP7OT3T93huLayZ6fcZ1u7XnSdnCsTo26i5/V/ajuWAaGESNdAhp5RkJvrl6v8573vKf7c9TcuJLYjoNlWPQpg1/xtexY6vxnZ+kxXXHFFdTr9ch+vn5trr30exIRkfPTWYf1P//zP+f666+PbiaRSHDJJZfwlre8hTe96U28+c1vJplMRrvxa7/2a31nddfbfffdR7lcplKpdL8KP3r0KMPDw/zbf/tvAYjH48Tjcf7yL/+S73znOwD84i/+Il/72tf4+te/zhe+8IWeY25UH/vYxzh16hR/8zd/07P92LFjZLPneApR+vBnb9sFyE84OHYVs1jH8/wykSjPO4132sMDnvliyg/TS7xSf/RM9DDzOJZBbHyQsbaH59XINsp8d6iOV8tCo0w1CIZmboxsPNjJtUnGxhkca+N5HlMDFdKlTo26S4sMQVYnVQyOS4JC26MeenMzMzO8+c1v7v4c5trJ0LimGKikKWWHF3h668quZcdi5z97S4/pkksu4cSJE/z4xz+O7ty3zV9zf/H3JCIi56ezXrrRMAwIZkejr04w6Ii2h/tFt63367HHHmPnzp1cfvnl3W3f//73+fVf//VuYH/f+97Hzp07IVi/vNPv0ksv5U1vehMnTpyYd9yN+ur3e4z+fC5fMp85lCFRGmd6KBep8e5lZmv84AePcfO74bLfcuZd234vZ89l0cP0cO0k6WaBdj1HygScCqVEELRTw2Rp0OpOrU8zOJzDxMEaKZNp17sPaTLNQRKJoEbdqVCKD/S+l/BxQ06ePMm2bdt6N+LfiDpSzsyNCxNzMEFicO4Af/n5Gym0wjstfi379V/w/EuIfigKv6IWG9O2bds4ffr0vG+7lmoTEZHN56xn1j/wgQ/w8MMPRzfz53/+5/zoRz9i586dxONxfvSjH8376hbga1/7Gr/6q78a3bzuSqUSf/3Xf80tt9zSncH6wAc+wIsvvtgN7Hv27OEf/uEfeO1rX8sv//IvA/DDH/6QX/u1X+Of/tN/yqFDhyJHFVkBc4jMMlbKDJfBrM7MusNEvkF2bAjTDUo0xqE21QmVJoPdcbnYEzCUAtcep5mZ6pndDdeoO5US2Z5lYFzs8RKJnhr2xbjY400y3XH428KlNQBX/vaXyA92f/Qtci379j9D0Q9Fi34gXWRMIiIiHWcd1nO5HN/5zncYHR3l6aef5h//8R95/PHHyWaz/M7v/A7bt2/np3/6p/nd3/1dbrnlFh577DFmZ2f5f//v//GZz3yGSqXC2NhY9LDr7ud//uf52te+xne/+13+9b/+1zz//PPE43FuueUWTp482TPDDvAXf/EX/OVf/iW7d+/mqquu4gtf+EKfJd9EVsCp0qJBuVNvsoBwGcyqzKy70zSBUjpGcmSC6eEp2vXivEDdnHZxrAkGijnMPqEZ12Yk39nmUCllGTbdUG17lXIjy1if2o03vvGNvPLKK70b3SrlUBkNgGuPkI9s62uZ17Kj7/lX2yJjeuWVV7jgggu4+OKLo02LtomIyOZz1mnyjW98I4899hjPPPMMv/Irv8Lb3/52crkc/+7f/Tt+8zd/s9tvZGSEO++8k7GxMd71rnfxi7/4i/zFX/wFtVqNn//5n+855kbxzne+k2q1CsCHPvQhHnnkEX73d3+XBx54gI985CM88sgjjI2Ncc8993DTTTcxNDRENpvlM5/5jIL6CvSdddzqXBtreojiWJZGywUcbGd+qCNSBrMqzAHiJMjWPOr1IrkUuFaSiW6oNBmIQ6M8wfRoMagVd2mFljN0HRu7CiQyDOHiOhVKiUFMdy6su9UyjQVqzXfs2DH/uQVui7lTuDi2jX+KIXD7XxtY2bXs6Hv+1bTEmJ5//nkuv/xyXvOa1/TstlSbiIhsPquSKN/61rfyx3/8x8zMzPB//s//4X//7//Nb/zGb0S7cf311/O//tf/4tixY7iuy0MPPcS73vWuaLcN5Wd/9mcpl8t84hOf4Pbbb+ef//N/zl/+5V/yoQ99iPe+9738/u//Pu9+97uxLIvTp0+zY8eO6CFEls+1SRoGyYkBijnTrw8vpUlaMBTUgZ97KUZrcZrpoGwm6c+uFyMz4NmxYqjkJcVoAfIxAyNpUTVz5AZaNGj5N6JON4EWrpnqhvtquREpi5mTTCbnP4MhNUqBPDHDIGlVMXM5BloNaFVx5837n9217Ht+oPNApHQJGvkYRr9HsS5mmWM6fvx43xvyWaDNX1mn/5NhRUTk/GY888wzmtZcpr//+7/nscce40//9E85ceIEr33ta3n3u9/Nxz72MX71V3+VRx55hN/+7d/myJEjfPjDH47uvqFdeeWV/PZv/zZ79+7t3gz39re/nccff/ycfwA5dOgQn/vc5876hrl77nuQvTdmuOiiiwB49dVXo136uue+Bxm7/UB0s5xLrk1yBKbq82+uBPjOd77DXXfdxUMPPRRtWhPrff4DBw5wzTXX9F02deE2B9s2yfUpKxIRkfPXqsysbxWvf/3r+Y3f+A2OHDnC0aNHqVar3HPPPd0bZD/60Y/y+c9/nptvvpn/9t/+W3T3De3zn/88X/rSl/jQhz7E17/+dZWmyKrrrrfuOtgj5ciNor3e97738YY3vIFmsxltWhPref6nn36aEydO9H0o00Jt/jrrFQYU1EVENh2F9VV2vgb2VCrFN7/5TX77t3+bP/iDP+BDH/oQP/nJT6Ldzgl9MNgazMEEpbSBMVJhYGrpNcHvvfdeHnjggWV/Q7La1uv8hw8f5siRI32Xe1yozV9nvXP/gIiIbCbG//2//1dJ6Rx45JFH+B//43/wuc99Ltq04Z0+fZr//J//M/fddx9/8id/wqWXXhrtsqoOHTrE5z//eZXBiIiIiERoZv0c+ehHP3peBnWACy64gOuuuw7Hcc55UEcz6yIiIiILUlgXEREREdmgFNZl3WlmXURERKQ/hXWRTaCzzrZhGCTtxR/4s5K+IiIisr4U1mXdaWb97KWKHrVsdGt/K+krIiIi60thXURERERkg7rA8zz00mu9X1uaa2MlO6UpSSyn85Cb4BHydqfdbwvtiG0F/ZIWlXDTPMvoGx1HUCLjjyWJKmZERETWnmbWRdaTa5OM5SnFa7Q9j3YtTimdpDo0RSHhd2kyRHGqQIIGpXGbTmZ2rBj5UoNszcObGoZS+MC9luzbHUdhbhz5GEnbDR64s/RDjERERGT1KazLutvKM+vORJ4GkB1OYQKmOUiCBuXq33b7xAdCKbnRCsK6Q6UEkGU4BZgphhesQ1+6r1st0wASg0OhcUCjXO1+OBAREZG1p7Ausm5cppv+n0rpoPwk5of3RmsurPflThPsurRl9HVbjegmX/fDgYiIiKwHhXVZd1t3Zt1kIO7/KVFo99bxFz8Y7XxOmYNBzU1UYhBVv4iIiKwfhXWRdZQK6lEa+QmcYArbdWzsnhtJ+zCHyCQASlQcwO2UuvSxjL7mUMYve2m5uIBbbfllMRm/LEZERETWh3Hrrbdu1WlN2UDuvfdeXnzxxejmFbnnvgfZe2OGiy66CIBXX3012qWve+57kLHbD0Q3rxnXsRhJl/ALURJka1OMTo8QywelKYksWUqUOj8W2tRzJuBgJdOUGpDIFsiQJx/Upte8Iqm5Uyyvr2tjjeSD8yTIFqYo5kwcyyBdgmzNo9h7UBERETnHjKmpKYV1WXc33njjlg3r5wcH2zbJaUkYERGRNWXMzs4qrMu6+upXv8pNN92ksL5BuXaSWD7eZ7ZeREREzjXVrMu6W26olvXhr7OuoC4iIrIeFNZl3Z0+fTq6SUREREQU1mUjUFgXERER6U9hXdadwrqIiIhIf92w/swzz/S2iKwR1ayLiIiI9NcN63v27OHIkSMKTrLmNLN+vnCxkwaGYWAkbYJnOAVNNkkjaDMs/shOBn8OXlboKU+ONbc9afNni/Ulemz/+Es9M0pERGSz6IZ1z/N44IEHuOGGGzh27Fhvrz52bd/O9n1He7Yd3bed7bsmmenZGjEzya6F+izWJpuWwvpSXOwlH2m6FkxydQ+vloVGnonwkMwc9XaBRLZG2yuyJ1fHq2VJkKDQ9vDCT1NKFfFqBbK1Nl49x78M+kJ2fl+CY3s1skC20NbKNCIisqX01Kw/9dRTfPvb3+a2227jjjvu4OWXXw4397pqL3uPfYbJTrKemeQzx67iqki3Fdmxn8cf38+O6HbZ1PRtzmJcHHuEMhvnYUTO9CCFLJQqvR8g3GqLzGiqO1J3ukkjO0b/5ygNMJyaa3Cnm5AdXqAv4E7TJMvwgh1EREQ2p56wbhgGP/zhD/nWt77FI488wsc+9jGOHu2dPZ9zBddeDw9/w0/rRwsH2Xn99d3WmcldbN++PXjtCkL9DJM3H+SJJw4S376dXZ++g127Jpnct53t2/eFZtZnmNzV2dd/RSbxZRPZ0jPrnRKPpI3r2lhBmUnSdgEHKxkjnW/QyMfwq0Ocbp+5fvPNfPEjXP72Ie7/q2jL2XKZZoDcaIFEqRIqR3GptgYZ6mZpl2q5QXa4/xy4A6HZ8cX7ArjVMo3s8BIz6kGZTrSMRkRE5Dw2bzUYwzD4yU9+Qrvd5sknn+Szn/0st9xyS98bUHfs/xQ7DxY4OjPJZ44dIr873PY4s7Oz/uvRnRwsHAV2sP/IIa666hDN2Vkev/ESeOIgx6+dZXb2cPjI7H+8s+9euOoQ+atDzbKpbOmwbuaYKiRI0GLCHaJY92jXsjTyEzikKE4VSCQKtD2PYgpce5xSvIbnebQLWeID/WeaPe803mkPD3jmi6nemvAFXqk/mv/f+DxuFQZSYA6RSZQY73xYcKu0Bofm5v/dKuVGlv7522E6HLsX7cuywrwvKNOJltGIiIicx+aFdc/zuv/70ksv8f3vf59Tp05x4MABnn322Ujvq7l27/1cFz/Izk9FyldmJv269u3b2X7d/XDseP9a9MWC+Mwku647xqEjKo3ZzLZ2GYwfRMmMUgzKQsLx262WacQHutvMoQyJ5jQuYOaKLJRLzWyNH/zgMW5+N1z2Ww6e5y35cvZcFj3MPJ2sDiZDmQSNctW/0dRtMTg3re6POzHYt3jHtaeDYwQ/LzVrvmSYFxER2bx6wno4qF944YXs3buXD3/4w7zjHe/gC1/4Am95y1vC3QG4On+Iq9jLteHAPTPJrvjDXN8MZsebh86glt0vmdn56OPsV1Lf1Lb0zLpbpUyBqVAtdqd+OwW4rciMspmjPtZiJLoaS0S4DGb1ZtZdqqEPE2ZujGyjTNUFpzK/BCaRCc20d/Ueo9t3cH7PjsWCv4iIyGbXd2b9/e9/P7fddhsvvPACN9xwA+Pj41x22QKzbjv28/jsYeZNjl91PbuDkD3zjYd5Itz2xAKz7CEzkzdzcOejHJ53YNlstnJYd6tlCIda12YkD4XRFOBQKfWZUU4VmcqUGVmgXp1IGcyqzay7VSAcwFMMZxvkJywq4RKYQN8SHWeC1kAuUi6TIBOale9d/aZ/8HdtW8s3iojIltAT1l//+teTz+d55zvfyaWXXkqxWOSDH/xguMvy7NjPp3b6N5Fu376dm4/vnJtZ37GfT+29n+u2b2fXl57r3a/rKIWDT8D91wU3mO5D95duXls3rLtUy3Oh1nVskrE88VrdXxXFqVBKDGK6Do4LjmXRLRFvNWi0Fg7r4TKY1eJWW4SmzwFIDWehVIKeYO6XyJTGbZzQEF3HIjk+yGj3w4eLM5Gnkcj0zMo71gitoE7GdSbIR8K861iMtAYWLpsRERHZRIzZ2VkPIJ1OE4/Hefnll/nEJz7BwMBAtK/IOXH33XczPj7Oiy++GG1akXvue5C9N2a46KKLYAW18Pfc9yBjtx+Ibj73XD+cNzo/J7IUpord5QtdO0msHKcwNkou5WIZaUqhvrX6Wq037oTOnaDQDj5MgD8LnpxgoM9YXNtiJF/qvr9EtsZUMVjaMfree2SpeaNMJ2Pk+3cgW/NvuO3lYidj5OM13WQqIiKbRjesf/SjH+Xf/Jt/w/XXX8+FF14Y7SdyzoyPj3P33XdvubDu2klGmKKutcNFRERkAd0ymEceeYRMJqOgLmtua5bB+CUwvbXaIiIiIr3m3WAqstaWOwO+aTgWhhEj32iQj1m6UVJEREQWpLAu627LzayniqFVWObXeouIiIh0KKzLuttyYV1ERERkmRTWZd0prIuIiIj0Z+zbt89/bKnIOpqcnNxyq8GIiIiILMWYmppSWJd1d+ONNyqsBw8ESpcaa7iO+nqccyH+OunlTHuJ5SwdbNskt2iffhZbL565ddobQKJAux560uoCHMsgHSx+nygsNW4REZGV666zLrJevvrVr3LTTTcprDsWRrpJoZahnC6TmRcmz5Jrk4xFjnuuz7lsc0F6qdDrWAbjg4v3ma/34U1+yM5SC93gGz6uayeJtcaW9XClTmBfatwiIiJnQjXrsu6WG6o3O6dSAhq0yFH3zkFoNucf95yfc9lSFD2PWja6vZfrWN2Z7BVxXQam5oJ5arRAgibTbqeDQ6WU6K57b+bGyJbGsbvtIiIi60NhXdadbjD1Z7g7IbSU7l173bUtkoaBYRgYSasbIB2rs83Gdfw+yX7p0rH8fkayN3z2PaeDFZwrabs4VjKyn4ttJYPjGSQtG79pbj/DsoP9grG5Lnay0//MV5V3HYtYMOBGPoZhzF2nha5Rl5kiFf4gYg4QJ85A9xuGCqVEhrlnVJkMJhq0oseB3muQtKhEm/G/xbCC92wYSax5AxIREVkehXVZdwrr/trrnVnlbG1uBti1k8TyJeKFNp7XphYvkY/54dmfHQYoU2WUjP/DfKkintem0BNGFzpnitFCcKByFUYzwTmYq+kuxSm0Pbx2jXgpTyxp44b3K7WgWPeP3cgTG6kyVK+RBRpnMVtthsabKLS7a9Qvdo0W5FQoZYfnrvN0M9LB15ybeu9yrBj5UoNszcObGiYogp/j2iRjeUrxAm3Po12LU8rH+n+QEhERWYLCuqw7hfWFuFTLDSDB4JAJmJiDCaBBuRoKfo04AymTXN1buGbamaAcH1jyhsmwRnyAVLh0xq3iD2fQD/2miT+cMuHhEArBAInMECZB31W3zGvUw8Ueh9oy6tHnc6iUALIMp/wZ++FI6Y5bLeNfpiH8yzSIf5mqwbcQIiIiy9cN688880xvi8gaUc16r7nZXJdWI9IYaITrMxKDS4Zwp1IiPrxwOO03g5wYjBzVbdF/OAuVi6yFZV6jENceoTXWu+qNORAP/TQn3q2TCbjT9J+Dn+MuPCCFdRERWbFuWN+zZw9HjhxZ++A0M8muXZPMRLcvZKX9ZcPTzPpCFp6NnhekF+VQKQUzwWcjmCGeL8GKhrOqVniNHIsRppg3qW4OkugJ0y6txpm9L39mv49lfKgSERGJ6oZ1z/N44IEHuOGGGzh27Fhvrz7mBealQvRS7bJlKawvxGQo45d0tFzXL/lo+SUfnVVLlsO1x3vqs8+YOeTXxTda+MOp+rPa0Vr4NeLYNs5KrpFrk6wMh0qFHKzODa9mjrFsifGgrty/ZmPzV8fpXANKVBzA7ZTFhLv4df6Nlot/mfxvJPxyIBERkZXpqVl/6qmn+Pa3v81tt93GHXfcwcsvvxxuPjs79vP44/vZEd0uW96af5uzEYVWZmnkJ7qrnJi5Ou1ClmY6hmHEyDez3Yf5OBN5vyylkWdkwZsX/ZrubL9p9b7ndJjI+2UcjfxI5CZNk1y9TSHbJB0zMGJ5mtnOw4Pm9qOUxrJ6j23bI/7DhmiQH+msIBPmrxiTLgUrvSywakznptpGfoTKQI7UEteoy7EwYnkapXR3JRvDSBP+uiFVbJMpxzAMg1g5Q3ve9DvBNaiRTUApbZCcmGYwqFnvXkMzR71dINtMEzMMYvkmWa3BLiIiZ6j7UKR0Os1//+//HYCf+qmf4l3vehdvf/vb2bdvH1dffXV0P3btmuRIOHzPTLLrZjhyBG6+Ga7feZCD9/tNex+d5fCOoP3x/eyYmWRX/CBPdPa96hDNx/fD5C7iBztbr+JQ83H27wiO3ad/73Hm+s+Ej9Pp29lXNpzJyUlGR0f1UKRzwbEw0vQ8/EdERETOH/NWgzEMg5/85Ce0222efPJJPvvZz3LLLbes7AbUJw5y/NpZZmdnmX10L/d/Jlz+cpR98YPsfDRobx7iqqBlx/7H/W2zs8w+upODhaOL9D/KvvhxPtXp37yeh2+eZGZmkpsP7uTRYPujO4+r9GaDUxnM6nKsJJbjgutgjzd7loIUERGR88u8sO55Xvd/X3rpJb7//e9z6tQpDhw4wLPPPhvt3t9Vh8h3JuN3XNEN4wDMHOdYuL2nbZJd27ezfft2tl93Pxw7zsxC/WeOc4z7ua7TP36QJ544zsyOK9jJ/Vy3fR9HgasPHya6q2wsy50Bl+UxB6GUjmGMVGCsz82UIiIict7oCevhoH7hhReyd+9ePvzhD/OOd7yDL3zhC7zlLW8Jd19dM5Psij/M9c3oDPoirjpEszOzPjvL7OxhruZqDs/OMjt7LV/fvp3tQWiXjUsz66vLzNXxPA+vXiTX89hOEREROd/0nVl///vfz2233cYLL7zADTfcwPj4OJdddllPv51PPMw3QvUlM994mCd2XrF0bfiOK3r2nfnGw6Fa9OvZHRygu32h/juuYOcTBylEk/jMJPsmZ4CrOTzb5NBVxziuOpgNTWFdREREpL+esP7617+efD7PO9/5Ti699FKKxSIf/OAHw126Djev5+F4UIKyfTvxh6+neXg5BSdXc/jRnRwM9r35+E5/Bn3Hfj618yDx4Hjd7Qv152oONw9x7Lq5MWzfNcnMjivgYDzYFufh64/4N6nKhqWwLiIiItJfz2ow8Xicl19+mU984hMMDAxE+4qcE3fffTfj4+NaDWbTcLGTMfINyNa8eTXzrmMzMZ6n1IBsoU0h+wv87u/+LocOHeKCC+Z92XfOnTp1al3Of/vtt3Pw4EHe/OY3R5sWbRMRka2l+y/Ttm3b+MAHPsDk5KSCuqwpzaxvNsF67Ik+T011LGLpMoNTHu1CglLL5dZbb2XPnj1rGpTDFj6/v/Z7csE17M/O/v372bt3b3QzLNEmIiJbS/dfp0ceeYRMJsOFF17Y20PkHFNY34TcKmUGI0/sdLDSJbI1/4FFZq7O/7rl5zh16hRXXnllT8+18tRTTy1wfgfL8L8dOFfe+ta38ra3vY1arRZtWrRNRES2luhUksiaW265ipw/3GoZMkOhsO7iWGlKiQKjodn2r3zlK6TT6bkNa2zh86coeh614Omk58ru3bv58pe/HN0MS7SJiMjWobAu627rzqw7WIaBYSTxKy1cHCsZ+rnXzBc/wuVvH+L+v4q2nD3XsUgaBoZhYCRt/sxOdv/cGYprJ3t+xnWwkv4+SdvBsQwsB8DFz+p+VHcsA8OIkS4BjTwjoTdXr9d5z3ve0/05am5cSWzHwTIsnGgnWPG17Fjq/Gdn6TFdccUV1Ov1yH6+fm2uvfR7EhGRzUVhXdbd1g3r/uxtuwD5CQfHrmIW63ieXyYS5Xmn8U57eMAzX0z5YXqJV+qPln7ysGMZxMYHGWt7eF6NbKPMd4fqeLUsNMpUg2Bo5sbIxoOdXJtkbJzBsTae5zE1UCFd6tSou7TIEGR1UsXguCQotD3qoTc3MzOz4E2Urp0MjWuKgUqaUnZ4gaexruxadix2/rO39JguueQSTpw4wY9//OPozn3b/DX0F39PIiKyuSisy7rbumHdZw5lSJTGmR7KRWq8e5nZGj/4wWPc/G647Lcc/8FHS7ycPb3PR4hy7STpZoF2PUfKBJwKpUQQtFPDZGnQ6k6tTzM4nMPEwRopk2nXuw9dMs1BEomgRt2pUIoP9L6X8HFDTp48ybZt23o34t+IOlLOzI0LE3MwQWJw7gB/+fkbKbTCOy1+Lfv1X/D8S4h+KAq/ohYb07Zt2zh9+nTflZAWaxMRka3D2Ldvn//YUpF1NDk5edah5PxdutHFTo7A1OIzpjNf/AgfGje445tVPvJnKX4++1+iXea55v7/u0hgd7CMNNTaFE1wJkZIN+PUpopBQPaXYGyNeRRTLrZVZaiYAzvJCFM9M+RuaJtjGVSGw0s2+scpZ9o9+xAE0larxbvf/e7Q1n7Xo9+2fpbbz9f//HMcy2B8cP64V2bhMf3DP/wD27dv54c//CGXXnrpsttERGTrMKamphTWZd3deOONWzesOzbWeJ5mnzAb5pbSfOj3LuCO/+7Prp811yYZy9MAEoksmbFRhlImuGCGwno502asNQHFIql+wdO1ScaCmXbTwTIqDLdHMU3Tn0l2bZKxFmNecV4Jy8/93M/xzW9+k8HBwbmNro1/irmZaNdOEgtm2he+Qsu/lh19zx+yKmF9kTG9+OKLvPnNb+Yf/uEfeM1rXrPsNhER2Tq6D0USWS9f/epXuemmm7ZmWHdtrOoQxYEJjMowXhFsx+yWl5xbDpYxDrV6MAvu4lgjVAanKAah0rEM0s0shaliEM79fQbbflh3HZvqNJTLMDU1BO4EsfFB2mMDuKkUqU7Qbo3hRZ+OBCQSCQ4dOsQ/+2f/bG6jY2GMDwbB3MWxq0xTpswUU0Ng+p8k5juDa9n3/CFnHdaXGNNf//Vfs2vXLv7mb/4muueibSIisnWoZl3W3XJD9abi2iQNg+TEgB+MU8NkS2mSFv7s9ppIMVqL00wH9dbJCaaH54J6R3asE9SDfQqQjxkYSYuqmSM30KJBy78RdboJtHBNP6j7K8M0yM57OpIvmUzyve99r3djapQCeWKGQdKqYuZyDLQa0Kri9ptXP4tr2ff8EHyrYJAuQSMfw/CXuVm+ZY7p+PHjJJPJnl07+rX5K+t0Vt0REZGtQDPrsu7++I//mN/6rd/amjPrm12fkpaw73znO9x111089NBD0aY1sd7nP3DgANdccw27d++ONi3S5mDbJrkzne0XEZHzimbWZd1t9dVgNpvueuuugz1SJjPVP6gDvO997+MNb3gDzWYz2rQm1vP8Tz/9NCdOnOj7UKaF2vx11isMKKiLiGwZCuuy7hTWNxdzMEEpbWCMVBjoswJK1L333ssDDzyw7G9CVtt6nf/w4cMcOXKk73KPC7X566zPv1FXREQ2r24ZzDPPPMNlly20xJvIuXPkyBH27dunMhgRERGRiO7M+p49ezhy5MiyA866mZlk165JZqLb5bylmXURERGR/rph3fM8HnjgAW644QaOHTvW26uP7du3z3vtmlSElpVTWBcRERHpr6dm/amnnuLb3/42t912G3fccQcvv/xyuLnH7Owss81DXHXVIZqzs8zOzvL4/h3RbiJL2vDf5oiIiIisk56wbhgGP/zhD/nWt77FI488wsc+9jGOHj0a7rK4oERlct92tm/fx1FgZnJXaPZ9F/7k+wyTu3pn5fcdXahvcNzO9vhBngifr9vfP5+cfzSzLiIiItLfvNVgDMPgJz/5Ce12myeffJLPfvaz3HLLLTzzzDPRrv09cZDj184yO3uYq4Ed+x/3Z+FnZ5l9dCcHC0eBHex/vLNtL1x1iPzVC/U9yr74QXY+GmxvHuIqmLe9eegY1+1TXD8fKayLiIiI9DcvrHue/4wkz/N46aWX+P73v8+pU6c4cOAAzz77bLT7fEHw7grPfl93Pxw7Pndz6Mwku647xqEj+9mxUN+Z4xyLHhMgsn3H7uu56v6va3b9PKQyGBEREZH+esJ6OKhfeOGF7N27lw9/+MO84x3v4Atf+AJvectbwt2XNjPJrvjDXN+Mzorjl8LcfJCdjz7O/h1L9ZXNTDPrIiIiIv31nVl///vfz2233cYLL7zADTfcwPj4+JmvwX7V9ewO7jud+cbD3XrzmcmbObjzUQ6HZ8z79d1xBTufeJhvBNPxvdsPUgim0me+8TBP7L2W6AS8bHwK6yIiIiL99YT117/+9eTzed75zndy6aWXUiwW+eAHPxjusjI79vOpnQeJB6UtNx/f2a03Lxx8Au6/bu7m0AX7Xs3hR3dyMN5ne/MQx67zt8cP7uTRnuQv5wuFdREREZH+uk8wTafTxONxXn75ZT7xiU8wMDAQ7StyTtx9992Mj4/rCaYiIiIiEd2Z9W3btvGBD3yAyclJBXVZU5pZFxEREemvG9YfeeQRMpkMF154YW8PkXNMYV1ERESkv3k3mIqsteWWq4iIiIhsNQrrsu40sy4iIiLSn8K6rDuFdREREZH+FNZl3Smsi4iIiPRn7Nu3z39sqcg6mpyc1NKNIiIiIhHG1NSUwrqsuxtvvFFhXURERCSi+1AkkfXy1a9+lZtuuklhXURERCRCNeuy7pYbqmVze93rXsedd97JnXfeGW1adZ3zvO51r4s2iYiIbCgK67LudIOpAGzfvp1Pf/rTfPrTn442rbrOebZv3x5tEhER2VAU1mXdKawvxcW2nejGDep8GquIiMjGp7Au605hfTEujj1CGTPasAGdT2MVERE5P3TD+jPPPNPbIrJGtnTNumuTNAyMpI3r2lhJA8MwSNou4GAlY6TzDRr5GJZDsM3vM9dvvpkvfoTL3z7E/X8VbTkL52isy+U6ln9+I4ntOFiGxcJz+A5Wp6+L/0HCSoZ+ns+1F28XERFZD92wvmfPHo4cObK1g5Osiy09s27mmCokSNBiwh2iWPdo17I08hM4pChOFUgkCrQ9j2IKXHucUryG53m0C1niA/1nsT3vNN5pDw945oupbmBe7JX6oyU+sJ+jsS6HayeJjQ8y1vbwvCkGKmlK2WFS0Y5dKYqeR7sA+QkHx65iFut4Xp3cAsMwc4u3i4iIrIduWPc8jwceeIAbbriBY8eO9fZawMzkLrZv39597ZqciXaBmUl27ZqkT4sIbPWwjku13IDMKMWUnxLDWdGtlmnEB7rbzKEMieY0LmDmihQXSKtmtsYPfvAYN78bLvstB8/zlnw5ey6LHibi3Ix1SY7FSDlDu57DP62JOZggMbh0qjaHMiRK40wP5VScIyIi56WemvWnnnqKb3/729x2223ccccdvPzyy+HmHjOTu4g/fD3N2VlmZ2eZnW1y/fFvzA/lO/bz+OP72RHdLhLY0t/muFXKFJgKTee6000IZo3dVoPscCjlmjnqYy1GkjaLVWuEy2BWbWb9HI11cS72eJPMVDhsu1TLkBlaRvw2h8gkohtFRETOHz1h3TAMfvjDH/Ktb32LRx55hI997GMcPXo03KWrcBAOHQmH8B3sP7yfHcFM+uS+7Wzfvq93Zn1mkl3dmfhddCfie7ZvZ3vf/vvoPxI5323lmXXXT51zQdS1GclDYTQFOFRKWcL5F4BUkalMmZFFiqvDZTCrNbN+rsa6KLdKmQzhXO7aI+Qj2xbkVGnRoFw9w/OLiIiss3mrwRiGwU9+8hPa7TZPPvkkn/3sZ7nlllvm3YB67Krr2b3QdPkTBzl+7Syzs4dDG4+yL36cT3Vm4pvX8/DNk8xwlH3xg+x8tLP9EFd1+89tbx46xnX7FNc3o60b1v0Z4k4tt+vYJGN54rWgbtqpUEoMYroOjguOZXVvfnRbDRqthQNouAxmdZy7sS7KbdGY+wHHtqkCicwQuEsc07WxpocojmWD8zvYzhL7iIiIbDDzwrrned3/femll/j+97/PqVOnOHDgAM8++2y0OzDD5K7IjPhVh8hfHe12nGPcz3WdmfL4QZ544jgzM8c5tlD/0PYdu6/nqvu/rtn1TWjLlsG4VcqNBqW0X4YSG2+Rafs3Z0JQYkKLqmuSMh0qpRL5mN833cxSO+Mi8DOwGmN1LL/kxl8qZnlSoxTIEzMMklYVM5djoNWAVhX3v0/0P16wak1yYoBizoTUMNlSmqQFQ0GtfT+O5Y83ejgREZH11BPWw0H9wgsvZO/evXz4wx/mHe94B1/4whd4y1ve0u2784mH+cYMfvnL4+EZ8UVcdShU4+7PvF89c5wnov1kS9mqM+tutQyF9lwpSr3YsxKJmav721Jmd3WTcN81jOqrM9ZUEc/zqA36N50uj0mu7h+nXvTr1lNF/8+pPQscz8xR9zzq3Q8z/njqxdSiN5mmih6eV2NwevmjExEROdf6zqy///3v57bbbuOFF17ghhtuYHx8nMsu661nzR+CgzevYJWXHVew84mDFKJT41dfy95u8A+J9J/5xsM8sfdaohPwcv7bmmF9BTdJrrtVGmsw410ZWKWVWVb5eP466xUGtHajiIhsID1h/fWvfz35fJ53vvOdXHrppRSLRT74wQ+Gu3Tt2P84zesfJh4qa+H63Yus+nI1h5uHOHZd9EbSqzn86E4OxkPlMX36xw/u5NHDiuqb0ZYL646FYcTINxrkY4s92GcDWM2xBjPeC1XvzM7Ocuedd3LnnXdGm/pb4niL6Zxndna2u81fZ31tv7EQERFZijE7O+sBpNNp4vE4L7/8Mp/4xCcYGBiI9l0bR/ex/evXMqtgvmXcfffdjI+P8+KLL0abVuSe+x5k740ZLrroIlhBLfw99z3I2O0HoptFRERE1l13Zn3btm184AMfYHJycs2D+tF9odn269AM+haz5WbWRURERJapG9YfeeQRMpkMF154YW+PNXD14chNp9EOsqkprIuIiIj0N+8GU5G1ttxyFREREZGtRmFd1p1m1kVERET6U1iXdaewLiIiItKfwrqsO4V1ERERkf6Mffv2+Y8tFVlHk5OTWrpRREREJMKYmppSWJd1d+ONNyqsi4iIiER0H4oksl6++tWvctNNNymsi4iIiESoZl3W3XJDtYiIiMhWo7Au6043mIqIiIj0p7Au605hXURERKQ/hXVZdwrrIiIiIv11w/ozzzzT2yKyRlSzLiIiItJfN6zv2bOHI0eOKDjJmtPMuoiIiEh/3bDueR4PPPAAN9xwA8eOHevttZCj+9i+ffvca9/RaI/zw8wku3ZNMhPdLmtCYV1ERESkv56a9aeeeopvf/vb3Hbbbdxxxx28/PLL4eYeM5O72H4dPDo7y2zwepSvc57GdVlH+jZHREREpL+esG4YBj/84Q/51re+xSOPPMLHPvYxjh7tH7+/8TAcah7m6tC2qw8HP89Msqs7477PD/Azk+zatY99u/zt+47OMNn98/z27vZFjzfJ5L6l+u9icmax/jNM3nyQJ544SHz7dnZNzvTfv/MBpbNdM/GrRjPrIiIiIv3NWw3GMAx+8pOf0G63efLJJ/nsZz/LLbfcMu8G1Ief2MkVO3o2BY6yL36QnY/6s+3NQ8e4rpOinzjGFUdmmX10L/dfdzN0/vyZIPh22mc7ffZxdNHjHeT4taH+n5lkhqPsix/nU50Z/+b1PHxz5/j9+u9g/5FDXHXVIZqzszy+f6b//jOT3HxwZ/ebhEd3HldYXyUK6yIiIiL9zQvrnud1//ell17i+9//PqdOneLAgQM8++yzcx2vuoK+WX3mOMeuOkQ+mHLfsft6rro/KI+56np27wB2XMFV4T939u1sA7j6WvZyjOOPL3a8ue3d48wc5xj3c11nBjx+kCeeCIJ1v/5RC+2/4wp2cj/XBTP73W8R5KypDEZERESkv56wHg7qF154IXv37uXDH/4w73jHO/jCF77AW97ylm7fnU88zDc26tRyMEveqaWfnV1hsO67/9Ucnp1ldvZavh4ux5Gzppn1s+dYBobhv5K2G23usZK+IiIisr76zqy///3v57bbbuOFF17ghhtuYHx8nMsuu6ynX/4QHIz3Btaj+/ZxdMcV7HziIIWgYeYbD/PE3mtXFpYBjn6d+6+6nt27Vni8yPmXrTP7vtD+M5Psm5wBrubwbJNDVx3j+Eb9sHKeUVg/e6miRy0b3drfSvqKiIjI+uoJ669//evJ5/O8853v5NJLL6VYLPLBD34w3KVrx/7H/frx7o2Y27mOa/0Z6OYhjl3nb4sf3MmjhxeM1r2Cmzy3b9/urzTz+H52rPh4vf2XdTPojv18aq9f+rJrckf//XdcAQfjwbY4D19/hP1964BkpRTWRURERPozZmdnPYB0Ok08Hufll1/mE5/4BAMDA9G+59bMJLtuhiOP7+9fCy+b1t133834+DgvvvhitGlF7rnvQfbemOGiiy6CFdTC33Pfg4zdfiC6ee24NtZInlIDIEG2Vmd0Okks3wAgWyhAOU+p4bcVU90dsa0R8qUGJLJk4yVKJUgU2tRzZugEy+wbHUdhimIO7GSMfLyGN3diERERWSPdmfVt27bxgQ98gMnJybUP6rKlbemZddcmGctTitdoex7tWpxSOkl1aIpCwu/SZIjiVIEEDUrjNp0qc8eKkS81yNY8vKlhKIUP3GvJvt1xFObGkY+RtCFX9xTURURE1kk3rD/yyCNkMhkuvPDC3h5rZcd+Htes+pa0lcO6M5GnAWSHU5iAaQ6SoEG5+rfdPvGB0Cx5oxWEdYdKCSDLcAowUwwvWIe+dF+3WqYBJAaHQuOARrna/XAgIiIia2/eDaYia2255Sqbj8t00/9TKR2s0BLzw3ujNRfW+3KnCXZd2jL6ui2/5Gae7ocDERERWQ8K67Lutu7MuslA3P9TotDG87y5V7H/jd3nijkY1NxEJQaJVr+LiIjI2lFYl3W3dcM6pIJ6lEZ+AieYwnYdG9vp7TePOUQmAVCi4gBup9Slj2X0NYcyftlLy8UF3GrLL4vJ+GUxIiIisj4U1mXdbeWwTqpIu5YlQYl0zMAwkkwwxND0CMFiMJTGLawRvzwGSozbLmCSq9fIJvwSmuTENINBHXojP0Fv1l9GXzNHvV0g20wTMwxi+SbZQpt6DuykgWEt9elBREREzgVj3759/mNLRdbR5OTk1l26UURERGQBxsmTJxXWZd1dfPHFCusiIiIiESqDERERERHZoBTWRUREREQ2KIV1EREREZENSmFdRERERGSDUlgXWSuO5T+l1LAiSysuxcWxLZLBvnb3kaKuv6yiYXBerqy46a/H2Y/n1KlTfPKTn5y3vOnrXvc67rzzTu68886e7aupc/zXve510ab159rd3/8ZXtq1s8yx3n777Tz//PPRzSIiCusiayZVxGsXSGSHSUXbFuFYMdLlQaa8NoVEiVY3nAbrp5NleCUH3Cg2/fUwydXbFBJnPp5bb72VPXv2cMEFvf9XvX37dj796U/z6U9/umf7auocf/v27dGm9WfmqNeyEPq749rJM/zwd45Fxuo6nQ+aBknLpvPXd//+/ezduzeys4iIwrrImnKrZeILJDfXTmIk5/7xBn/2OV3KUqvnMDHJ1T2K4d3daZrZYVLBLG5ybpr5vLDpr4dbpczg8p8C6849vfapp57i1KlTXHnlldFeq8DFXvIxuRubO90kG/q7Y+bqeJEAv1F0x+pYTDBK3fPw2jUyzTyx4GuXt771rbztbW+jVqtFdxeRLU5hXWTNuFTL8QVnWc1cHa+emwt2roOVLpEojC4YPpyJfBB2/eBazy07Fm4Am/96uNUyZIaWF9ZdB3ukTKfzV77yFdLpdLTXKnBx7BHKyxvVBuUwkZ//d8eplHoC/MYQGmuqSDEVXHczRW4seJRwYPfu3Xz5y1/u2SYiorAuslbcKuX4IFjB1/XJTr31XG2zPxPsYBkGRixNCWjkR7p12a5jkUwaGEYSy3GolLIMm52a2GSofts/rtM9l43jWBid4mnXwQrOGX71m4me+eJHuPztQ9z/V9GWs3SeXo+uTi1y0sZ17e7+c/u4+Fk9FIpdB7szBiOJ1enrWCRjafKNBvmYX8ZRr9d5z3veM7fvci06LgcrGSOdb9DIx4Ja+t73vuh7XlL4foLIsRZ4744VnDv4Xbid/XsK/f3fnf++LBynQmneDHrw+192Vl/PsQY9p5skBuf+flxxxRXU6/XePnayz99lEdlKFNZF1ohbLdNotmC0jud5tDNN8hNOqLY5EQS7FEXP87/STxRoe3Vypv+PdmwcxqY8PK/O8PS4HwLMHPV2gUQiw1wudLGTMcYHx2h7Ht7UAJV0MOvo2iRjaZqZmt/mtSkkIFvrPxPteafxTnt4wDNfTM0LtP1eqT96JnqYec7X69Fl5pgqJEjQYsIdolj3aNeyNPITQc20S4vQGILztIan8DwPz5tisBx88EgV/WMV2nhekRQwMzPDm9/85p5TLsui40pRnCqQSBRoe34JkWuPU4rX/N9BIUt8YJH3vKjgGreGmfI8vHaB7g0Fi7z3VNHDr15J4doWEwOj/u+vOR2UQAXHZcw/bn2Y6fE+M+iLhOL51nms4M+4tzJMhf6OXXLJJZw4cYIf//jH3W1mro4X/J0Xka1JYV1kTfglH7V6ke634APxUHOVcjjYBV/pJzolFI5FrJyhHd4furNy0XILxxqhnGlTz6X8babJYCLBoBmE5ESBqU7bEsxsjR/84DFufjdc9ltOEGAWfzl7LoseJuL8vR5zXKrlBmRGu6UNPfs7FUrxgWCbiz2SJ17z5sogMBmIN4KM6B8rHJRPnjzJtm3buj8v3+LjcqtlGt1xgTmU6YZNM1fsvQdgBVw7uMbFzjXOUS+mlvXep5sJBqdtqkN+mUh4jI4V6z2u/5smNCENwd+P/qF4vvUeK7jYVoXhYqjMC9i2bRunT5/mxRdfDG0Vka1OYV1kLbhVyvHeWb/wV+DRcIlrM17qzCw7WOkmhanwP+wOE/lOiUWk3MK1GW/2ztjND78t3M5EojNBngKjC+SccBnMqs2sn8fXo8utUqbQc1x3utm9wbEnPPY9pkOl1AlyLq3GSko4FrHEuNxWozfUmjnqYy1Gojfzrohflz3Wb/p3qffuVik3oDWQC2aP/d9fYdS/ITPd7H0v/vF6P8itrARmvcfq4lhVBkb9b1BERJaisC6yBuaveuIwUZ4LDG6rd1bVrZZpZMf8QOBUKHX+7LdiW+OUumUeLq1GnM7u84JuMFvY2WbmpijEm6RjfrAeqQzSDt/IGREug1mtmfXz+Xp0zDuuazOSD4JbJzyaLi7BB5HIjaauHRpznxKON77xjbzyyiuhLcuzrHFFU2KqyFSmzMiZFka70zQT/Ve9Weq9d3633Rn90Acpp1IiOxa+ydjGGg99w9LR5/otaF3H6mLbVcxirvuNUNgrr7zCBRdcwMUXXxxtEpEtTGFd5JzrXfXEv+lvHMY6M2tBgMLBCZVE9Mx+dmpiXQfLqjIwCInMAK7jdoMKjuMHw1Zjbj/XwbarQILMEN3Z4wHi1Np+sK5HvoqPCpfBrI7z+3r4/BnVzgcK17FJxvLEa0FtsVOhlBjEdP2wbg7EaZSr3bpmx04Sy9P9dsCplEgMmrjBmAF27NjBc889Fzrncix3XP61day5h0q5rQaNuUXrV65Rpto5lmNjBTddLv7eQzPTgc6HDddxeBpoTgd7OhZWdYBBEmQG3ODvhn9Me8G68AWsy1gdbNtlKBf8/XL9n8Oef/55Lr/8cl7zmtf0bBeRrU1hXeScMxkag/GgRCQ20mJ4qj43O+dUKNGkgunPtrlVyuGSiNQoBfLEDIPkBIwWc9BqQGsaUiZOpQTNCph+nWxqtAD5mL+KRdUklxvwu1ddv4TWrTJeKpEeSWJZNs5c6lkj58n16Dxhtd/jR90q5UaDUjp4D+MtMu25Nd/d6aZfWmOm/A8gqSK1eJmYYWAYMcZbme6NsuDid6/iBmMGSCaTfO9735s753Isc1xV1yRlOlRKJfLBNwrpZpbaYgXri10PM8dUIU45ZmAYSSamhyh2jrXYe59XjhTU27eqYKbYE/rdTTBK5FcdjClGvgGldGhFl402VmySRpp8Ph0c28CIVRiIlOIcP36cZDLZs62zAk2/tyIiW4Nx8uRJL7pRZK1dfPHFZ31T1T33PcjeGzNcdNFFALz66qvRLn3dc9+DjN1+ILp53bh2khGmFl+J5Ay5ju2Hk5wJrovjVqlUypSamWWVfqyH9b4ejm1jdmZDO/udwzF1fOc73+Guu+7ioYceijZxySWX9J11Pxfjip6r3/XYqM6nsQIcOHCAa665ht27d0daHGzbJLeKv1cROX9oZl1k3TlYwSPSXcdmpBy5GXLVOEyk83M/miapVI7R0QxZWmdxc+Fq2yDXI1ivvDIQDXuRG1jPkfe973284Q1voNlsRpsWcI7HteD12IDOp7EGnn76aU6cODHvQVj+OuvzZ+FFZOtQWBdZdyaDiRJpw2CkMsDUOZvhTjFay9Isx/yv4Q2/DGBkAoanNtLKFBvkepg56sFa5F3dsou5hxedS/feey8PPPDAvG+JZmdnufPOO7nzzjv9DedgXJ3jz87O+hv6XY+N6nwaa+Dw4cMcOXIEwzB6tvvrrG+k/z5FZK2pDEY2BJXBiIiIiMynmXURERERkQ1KYV1EREREZINSWBcRERER2aAU1kU2iM56yoYRWi96ASvpKyIiIucvhXWRDSJV9Khlo1v7W0lfEREROX8prIuIiIiIbFAK6yKrwbWxknNrdVtO52EmwaPC7U673xbaEdsK+iUtKuGmeZbRNzoO2/X3Sy7w6HURERHZ0BTWRc6Wa5OM5SnFa7Q9j3YtTimdpDo0RSHhd2kyRHGqQIIGpXG7+7RQx4qRLzXI1jy8qWEohQ/ca8m+3XEU5saRj5G0IVf38M6nJ8SIiIgIKKyLnD1nIk8DyA6nMAHTHCRBg3L1b7t94gOhZ3A2WkFYd6iUALIMpwAzxfCCdehL93WrZRpAYnAoNA5olKvdDwciIiJyflFYFzkrLtNN/0+ldFB+EvPDe6M1F9b7cqcJdl3aMvq6rUZ0k6/74UBERETONwrrImfFZCDu/ylRaON53tyr+MFo53PKHAxqbqISg4Tm9UVEROQ8orAucpZSQT1KIz+BE0xhu46NvdT9nOYQmQRAiYoDuJ1Slz6W0dccyvhlLy0XF3CrLb8sJuOXxYiIiMj5R2Fd5GylirRrWRKUSMf8VVgmGGJoeoR8UJlSGrewRvzyGCgxbruASa5eI5vwS2iSE9MMBnXojfwEvVl/GX3NHPV2gWwzTcwwiOWbZAtt6jm0GoyIiMh5yjh58qQX3Siy1i6++GJefPHF6OYVuee+B9l7Y4aLLroIgFdffTXapa977nuQsdsPRDeLiIiIrDvNrIuIiIiIbFAK6yIiIiIiG5TCuoiIiIjIBqWwLiIiIiKyQSmsi4iIiIhsUArrImfF9ZdFNAxWa2VE1076T0JdhQOeOnWKT37yk5w+fbq3wbH8cxhWZInIpbg4tkUy2NfuPhp19a8DwO23387zzz8f3SwiIrJlKKyLnJVg/XOyDKeibWfGzNVpFxJkV+GAt956K3v27OGCCyL/qaeKeO0CiewwKzmLY8VIlweZ8toUEiVa3bC++tcBYP/+/ezduze6WUREZMtQWBc5W+40zSD0unYSI2nTzbBnxKVahsGzfOzoU089xalTp7jyyiujTQC41TLxBZJ13/fhWKRLWWr1HCYmubpHMbx79zr4s+zJuWn3M/bWt76Vt73tbdRqtWiTiIjIlqCwLnKWnIl8N/SauTpePcdZ5Wy3SpkMQ2d1EPjKV75COp2Obg64VMvxBWfB570P18FKl0gURheciZ+7Dn6Qr+fO8g0Edu/ezZe//OXoZhERkS1BYV1khVzHIpk0MIwkluNQKWUZTs3VbM/NKDtYwbbw9k5NetJ2cbv138lu/bdbLUNmqDfwu3PHStoOjmWwe3dw7PAMuGN1f67X67znPe8JH2WOW6UcHwQrqI9PdurPo+/DwTIMjFiaEtDIj8yNs991MO157yfojdM9l43jWHM1+aH3Fn51rtcVV1xBvV4PHywiGPNqFsuLiIhsEArrIivg2kli4zA25eF5dYanxyllh0lhkqu3KSQSZIIpcdcepxSv4Xke7UKW+IC/3cxNUUgkoDWBO1Sk7rWpZRvkJ/yw6bboHiM4EMnYOINjbTzPY2qgQrqU5RPf8Py680aZaicYp0YpxP0/zszM8OY3v3nuOCFutUyj2YLRuj++TDM4f/R9pCh6Hl4tC4kCba9OzlzkOpg56u0CiUT4mwEXOxljfHCMtufhTQ1QSZf8mnzXJhlL08zU/DavTSEB2drczPwll1zCiRMn+PGPfxx+CyH+TL7XU5MjIiKyOSisiyyXYxErZ2jXi6SCIGoCiU5xeaR8xRzKkGhO4wJmrjhX3+1WKTcgM9o5TngO3aFSihPken9me6RMpl0nF5zUNAdJJAb9vcwBgmwecGHQn5U/efIk27Zt62nt9KmW49TC72MgdJQ+ZThOpUSiM9u/xHWIfjPgWCOUM23quVQwZpPBRIJBM/jQkCgw1WnrY9u2bZw+fZoXX3wx2iQiIrLpKayLLIuDlW5SmArXoztM5OdmwaMhFTNHfazFSORGTbdahsIUcyXdLtNN/JlmpxLM1Act9jjNTLhvn/PQ6K7K4trTDCxVK+5WKcd7V4Fxp5sLhm1cm/FSZ6Z9qevg3xzb/WbAtRlvZpjqfQORDwMt3G5pzQR5CoxqklxERAQU1kWWyalQyo71BGzbGqcUKvdwW41uqUtXqshUpsxIt4A7EmYB1x7pBlSnUiI7bAbhdX5fXJuR0AcEMBlMzLVVB3LdEP7GN76RV155JfhpzvxVYBwmynHGgjcXfR9utUyj896XvA4urcbcNwPzgj8utv8GMDslQfEm6Zhfpz5SGaQduUH3lVde4YILLuDiiy8ObRUREdkaFNZFlisoacF1sKwqA4OQyAzgOv6NmJVSlmEcHBcca+6BQW6rQaM79V2lTCfMujh2klg+HiyH6FApJRg03W5YbzXmTu86NnYVSGQYwu2ZrW9O29jVIXKhDL5jxw6ee+65UC+CDwBzq8C4ro2VHIexYhDye9+H37/Ru+b7Ytch+GYAx8EN3nuX62D7b4DMEN3Z9AHi1NoenudRL85fSef555/n8ssv5zWveU2kRUREZPNTWBdZjtQoBfLEDIPkBIwWc9BqQGsaUqYfUmlSwSRlOlRKJfLBbHG6maUWFKy71TKNRom0YWAYMcZbGdpeEJTdaZpAyzVJpQBSjBbwj5O0qJo5cgMtGrSoup1Kd5OBONAaIBcpf0kmk3zve9/r2QYmQ2MwHqy4EhtpMTxVn6un73kfwYeLRuhBR0tcB6dSgmYFTL8GPeW/AX/FmKpJLjfgd++8AbfKeKlEeiSJZdk4/ieEHsePHyeZTEY3h2g1GBER2byMkydPetGNImvt4osvPusbCO+570H23pjhoosuAuDVV1+NdunrnvseZOz2A9HN54CLnRyBKX9FldXi2DZmbv6M9He+8x3uuusuHnrooUjL8rl2khGmVm3N9DDXsZmYHqKYM8F1cdwqlUqZUjPTUwpz4MABrrnmGnbv3h05goiIyOanmXWRtTLvxsoz5Nokkzau62DbTt+gDvC+972PN7zhDTSbzWjTIhwsw8IJwvRIOXJz6KpxmEjn5340TVKpHKOjGbK0uiU+Tz/9NCdOnFjk4U4iIiKbm8K6yBpwLAMjlqfRyBM723INt0WjkWekCkOLLHkIcO+99/LAAw8s+1sG/4ZVv0xnpDLA1Nk+jXVBKUZrWZrlWOhBSElGJmB4qlM/D4cPH+bIkSMYhhHZX0REZGtQGYxsCFujDEZERERkZTSzLiIiIiKyQSmsi4iIiIhsUArrIiIiIiIblMK6yBpzrM4NlQbJ7pNNRUREROZTWBdZY6miRy0b3SoiIiIyn8K6iIiIiMgGpbAushKujZWcWxfccvynfHbKWiy70+63hXbEtoJ+SYtKuCnMseaOZVkkO+UyoYN1y2iSNq7j9wmX07j23H5G0qK30iY0jqDdwcVOGhhnu/67iIiIrDqFdZHlcm2SsTyleI2259GuxSmlk1SHpigk/C5NhihOFUjQoDRud5/E6Vgx8qUG2ZqHNzUMpfCBQ1LFbolMiWGmPL9kplFKd8N/arSAf7oyVUbJBOcG/4NDLF8iXmjjeW1q8RL5WDII7C52Mka+FKfmebQLCWiUqDiQq3t4xc6jiERERGSjUFgXWSZnIk8DyA77Tw01zUESNChX/7bbJz4Qet5noxWEdYdKCSDLcAowUwwvo2a9e55BP42XKpGZ70acgZRJru5Rz5mAS7XcABIMDpmAGezboFx1wa3iNw/6x83V8TyPYurcPKNUREREzp7CusiyuEw3/T+V0kEJScwP743WXFjvy50m2PWMmANx/w/N6e5MPcyF7jkurUbPhq5GywW3xQLNIiIiskEprIssi0knMycKbTzPm3sVPxjtfG7EByLhPMokmISfJzHYb8ZfRERENjqFdZFlSgW1K438BE6Qdl3Hxl7qvkxzKKgr9+vDcTtlMYsrVRxcwAk6Z4eXqik3Gcr4ZS8t1/XLYlp+WUxmyITUaFBbXyJt+cf2x6/oLiIislEprIssV6pIu5YlQYl0zF/xZYIhhqZHyAf1JaVxC2vEL4+BEuO2C5jk6jWyCb+EJjkxzWBQs97IT7BQ1s8OTjNiGKRLkMjW6Nz/2amdp5FnJIvCaL4AAAlZSURBVPJQJTNXp13I0kzHMIwY+WaWQrtOzqRnHJTSxIwkE9ND5FJoNRgREZENyjh58qQX3Siy1i6++GJefPHF6OYVuee+B9l7Y4aLLroIgFdffTXapa977nuQsdsPRDevG8fyA3q25nUDuoiIiGxNmlkXEREREdmgFNZFNhLHIh3Us5fSRuTBSiIiIrLVKKyLbCSpYs9KMyqDERER2doU1kVERERENiiFdRERERGRDUphXURERERkg1JYFxERERHZoBTWRUREREQ2KIV1EREREZENSmFdRERERGSDUlgXEREREdmgFNZFRERERDYohXURERERkQ1KYV1EREREZINSWBcRERER2aAU1kVERERENiiFdRERERGRDUphXURERERkg1JYFxERERHZoBTWRUREREQ2KIV1EREREZENSmFdRERERGSDUlgXEREREdmgFNZFlsuxMAwDw7Bwom2LcnFsi2Swr+3ObbeTBoZhYK3sgOvu1KlTfPKTn+T06dPRpvPG7bffzvPPPx/dLCIisqEorIssV6qI1y6QyA6TirYtwrFipMuDTHltCokSrW5YN8nVa2TJMrySA24At956K3v27OGCC6L/F+J/AEnOfSJZEddOYqzok8ti55v7MGQkbaI99u/fz969eyNbRURENpbov7Qisgi3Wia+QLJ27eT8UOhYpEtZavUcJia5ukcxvLs7TTM7TGrR0LmxPPXUU5w6dYorr7wy0uJgGTHyjcjm5XJtRla08+Lnc6wY5Uwbz/NoZ8rEIh8C3vrWt/K2t72NWq3Ws11ERGQjUVgXWTaXajm+4Cy4mavj1XOYnQ2ug5UukSiMLjgT70zkg/DvB/l6rrv3hvWVr3yFdDod3QykKHoetWx0+3K42BMwVkhEGxax2PkcKqUEmSH/epq5MbKl8VAJkm/37t18+ctf7t0oIiKygSisiyyXW6UcHwQrGZRWdOrP58ot/JlxB8swMGJpSkAjP9INia5jkUwaGEYSy3GolLIMm3ZQz56MhEkXp3suG8ex5kpEXAerU+IReiX/f7/TcyzXTvbW2If2S9oOjmVgOb21825QX285of6hWel6vc573vOe7s+rwbUnYDT0QedsORVKiQxBVgdMBhONUAmS74orrqBer/ds869Z9HchIiKyPhTWRZbJrZZpNFswWg9KK5rkJ5xgVrxNIdGZyfVnfL1aFhIF2l6dnOmHwNg4jE15eF6d4elxStlhUmaOertAoidcutjJGOODY7Q9D29qgEq6RHY4Ba5NMpamman5bV6bQgKyNY/6XXdT92pkExkGcGAoQyIx6Idg1yYZG2dwzC8NmRqokC5lGU51xp9lEJvqUJGxLICDXYXRsSw0p7vlPTMzM7z5zW/uDPTsORYjjLKaXyq4083oJgCa070J/JJLLuHEiRP8+Mc/7m4zc3W84HcmIiKy3hTWRZbFL4Gp1YukghBnDsRDzVXKhMM2OJUSicyQH5Qdi1g5Qzu8P5AY9H9wq2Xo9AUca4Rypk09l/K3mSaDiQSDZvChIVFgqtMW5VRoxgFSmGaOej2HiYM1UibTrpMLBmCag6EgX6UMwBA50y8hYRqGcimYbkJ8oHuukydPsm3btu7pzo6DVRlet/Kfbdu2cfr0aV588cVok4iIyIagsC6yHG6Vcrx3FRh3urlg2Ma1Ge/WTDtY6SaFqXCZh8NEnqDdxd89aHVtxpsZpsIBdt6HgRZut7RmgjwFRoPBOZUSDA51PxQAuPY4zcxUz2xxz5jdFg0GGUqZ/k2vwOBQChOXarnhz+ifC06FUindLeOJ5RtQSs+/UXeFej5IhcQH1udDgYiIyJlSWBdZhvmrwDhMlOOMBenXbTV6gqBbLdPIjvnh2KlQ6vzZb8W2xkM11S6tRpzO7vOCPy72SL67zcxNUYg3Scf8gDtSGaTdvbHVr4PvjKuzf8+HAfwPBP4hg70qJbJj/jF6xu5WKTd6l5Z84xvfyCuvvDK34Wykinie1321/Xqe3ht1z4Q5SKLRCgV+l1bD/2Yi7JVXXuGCCy7g4osv7m0QERHZIBTWRZbUuwqM69pYyXEYKwYz7cGNojg4wQ2n82ajOzXfroNlVRkYhERmANdxgzA/DI6DGwT/LtfBtqtAgswQ3dn0AeLU2n7ArRdDwTY4Vu88uEvvIW38Q2YYwsXtjD/l9w2P3Q/uwwRvDIAdO3bw3HPPzR1wIzJzjGVLjAd3ibr2eOQDk+/555/n8ssv5zWveU1vg4iIyAahsC6yJJOhMRjvlGqMtBieqs+tl+5UKNGkgumXnkRno1OjFMgTMwySEzBazEGrAa1pSJl+2UqzAqZfg54aLUA+5q8YUzXJ5Qb87lXXL3R3q4yXSqRHkliWjRMK0uHSnDkp/EP6K9hUzRy5gRYNWlRdMHsCvksrNHa31SDR9MfZkUwm+d73vtf9eY6/qky6BI18bG4Fmc6TX1f0sKPl7LfA+QKpYptMOeb/zsoZ2j0L3PuOHz9OMpns2eZY5+dTZUVEZHMyTp486UU3iqy1iy+++Kxv8rvnvgfZe2OGiy66CIBXX3012qWve+57kLHbD0Q3nzHXTjLC1Dm5adJ1bCamhyjmTHBdHLdKpVKm1MyESmHOre985zvcddddPPTQQ9GmRTm2jZlb+RjPdL/lOHDgANdccw27d++OtDjYtknuHPwORUREVkIz6yJnzcEK1jJ3HZuRcuTm0FXjMJHOz/1omqRSOUZHM2QJ12efW+973/t4wxveQLPZf3nEeVx/HfnKwAoD95nut0xPP/00J06cmPeAJ3+d9QoD5+R3KCIisjIK6yJnzWQwUSJtGIxUBpg6ZzPcKUZrWZpBaYf/SjIyAcNTnfr5tXHvvffywAMPLO/bCzNH3fPmyoaW60z3W6bDhw9z5MgRDMPo2e6vs76211NERGQhKoORDWGjlsE8+dR3ec1r/TXFX/vT23nTW34B76VneOtb3xrtKiIiIrLqNLMusojXvHYbP/f2Hfzc23fwprf8Av/m2v+P2dnZaDcRERGRc0JhXURERERkg1JYF1nEa396e3QT27fP3yYiIiJyLiisiyziTW/5hegm1auLiIjImlFYFxERERHZoBTWRRbxwrNPRzfxd3/3d9FNIiIiIueEwrrIIv7xH+av/KLVYERERGStKKyLiIiIiGxQCusii9BqMCIiIrKe/v9mJvFARWYB3wAAAABJRU5ErkJggg==" /&gt;&lt;/p&gt;
</description>
      <guid>239995</guid>
      <pubDate>Thu, 06 Mar 2025 09:26:57 Z</pubDate>
      <itunes:author>SFMACOME</itunes:author>
      <author>SFMACOME</author>
    </item>
    <item>
      <title>How to adjust the program so that the animation works</title>
      <link>http://www.mapleprimes.com/questions/239845-How-To-Adjust-The-Program-So-That-The?ref=Feed:MaplePrimes:Version Maple 2021</link>
      <itunes:summary>&lt;p&gt;restart;&lt;br&gt;
Fig:=proc(t)&lt;br&gt;
local a,b,c,A,B,C,Oo,P,NorA,NorB,NorC,lieu,Lieu,dr,tx:&lt;br&gt;
uses plots, geometry;&lt;br&gt;
a := 11:b := 7:&lt;br&gt;
c := sqrt(a^2 - b^2):&lt;/p&gt;

&lt;p&gt;point(A, a*cos(t), b*sin(t)):&lt;br&gt;
point(B, a*cos(t + 2/3*Pi), b*sin(t + 2/3*Pi)):&lt;br&gt;
point(C, a*cos(t + 4/3*Pi), b*sin(t + 4/3*Pi)):&lt;br&gt;
point(Oo,0,0):&lt;br&gt;
lieu:=a^2*x^2+b^2*y^2-c^4/4=0:&lt;br&gt;
Lieu := implicitplot(lieu, x = -a .. a, y = -b .. b, color = green):&lt;/p&gt;

&lt;p&gt;line(NorA, y-coordinates(A)[2] =((a^2*coordinates(A)[2])/(b^2*coordinates(A)[1]))*(x-coordinates(A)[1]),[x, y]):&lt;br&gt;
line(NorB, y-coordinates(B)[2] =((a^2*coordinates(B)[2])/(b^2*coordinates(B)[1]))*(x-coordinates(B)[1]), [x, y]):&lt;br&gt;
line(NorC, y-coordinates(C)[2] =((a^2*coordinates(C)[2])/(b^2*coordinates(C)[1]))*(x-coordinates(C)[1]),[x, y]):&lt;br&gt;
intersection(P,NorA,NorB):&lt;/p&gt;

&lt;p&gt;ellipse(p, x^2/a^2 + y^2/b^2 - 1, [x, y]);&lt;/p&gt;

&lt;p&gt;tx := textplot([[coordinates(A1)[], &amp;quot;A&amp;quot;],[coordinates(A2)[], &amp;quot;B&amp;quot;], [coordinates(C)[], &amp;quot;C&amp;quot;], [coordinates(Oo)[], &amp;quot;O&amp;quot;],#[coordinates(P)[], &amp;quot;P&amp;quot;]], font = [times, bold, 16], align = [above, left]):&lt;br&gt;
dr := draw([p(color = blue),NorA(color=red,NorB(color=red),NorC(color=red),p(color=blue),&lt;br&gt;
Oo(color = black, symbol = solidcircle, symbolsize = 8), P(color = black, symbol = solidcircle, symbolsize = 8)]):&lt;br&gt;
display(dr,tx,Lieu,scaling=constrained, axes=none,title = &amp;quot;Les triangles inscrits dans une ellipse ont leur centre de gravit&amp;eacute; en son centre . Lieu du point de concours des perpendicalaires issues des sommets&amp;quot;, titlefont = [HELVETICA, 14]);&lt;br&gt;
end:&lt;/p&gt;

&lt;p&gt;Error, `:=` unexpected&lt;br&gt;
plots:-animate(Fig, [t], t=0.1..2*Pi, frames=150);&lt;br&gt;
&amp;nbsp;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;restart;&lt;br /&gt;
Fig:=proc(t)&lt;br /&gt;
local a,b,c,A,B,C,Oo,P,NorA,NorB,NorC,lieu,Lieu,dr,tx:&lt;br /&gt;
uses plots, geometry;&lt;br /&gt;
a := 11:b := 7:&lt;br /&gt;
c := sqrt(a^2 - b^2):&lt;/p&gt;

&lt;p&gt;point(A, a*cos(t), b*sin(t)):&lt;br /&gt;
point(B, a*cos(t + 2/3*Pi), b*sin(t + 2/3*Pi)):&lt;br /&gt;
point(C, a*cos(t + 4/3*Pi), b*sin(t + 4/3*Pi)):&lt;br /&gt;
point(Oo,0,0):&lt;br /&gt;
lieu:=a^2*x^2+b^2*y^2-c^4/4=0:&lt;br /&gt;
Lieu := implicitplot(lieu, x = -a .. a, y = -b .. b, color = green):&lt;/p&gt;

&lt;p&gt;line(NorA, y-coordinates(A)[2] =((a^2*coordinates(A)[2])/(b^2*coordinates(A)[1]))*(x-coordinates(A)[1]),[x, y]):&lt;br /&gt;
line(NorB, y-coordinates(B)[2] =((a^2*coordinates(B)[2])/(b^2*coordinates(B)[1]))*(x-coordinates(B)[1]), [x, y]):&lt;br /&gt;
line(NorC, y-coordinates(C)[2] =((a^2*coordinates(C)[2])/(b^2*coordinates(C)[1]))*(x-coordinates(C)[1]),[x, y]):&lt;br /&gt;
intersection(P,NorA,NorB):&lt;/p&gt;

&lt;p&gt;ellipse(p, x^2/a^2 + y^2/b^2 - 1, [x, y]);&lt;/p&gt;

&lt;p&gt;tx := textplot([[coordinates(A1)[], &amp;quot;A&amp;quot;],[coordinates(A2)[], &amp;quot;B&amp;quot;], [coordinates(C)[], &amp;quot;C&amp;quot;], [coordinates(Oo)[], &amp;quot;O&amp;quot;],#[coordinates(P)[], &amp;quot;P&amp;quot;]], font = [times, bold, 16], align = [above, left]):&lt;br /&gt;
dr := draw([p(color = blue),NorA(color=red,NorB(color=red),NorC(color=red),p(color=blue),&lt;br /&gt;
Oo(color = black, symbol = solidcircle, symbolsize = 8), P(color = black, symbol = solidcircle, symbolsize = 8)]):&lt;br /&gt;
display(dr,tx,Lieu,scaling=constrained, axes=none,title = &amp;quot;Les triangles inscrits dans une ellipse ont leur centre de gravit&amp;eacute; en son centre . Lieu du point de concours des perpendicalaires issues des sommets&amp;quot;, titlefont = [HELVETICA, 14]);&lt;br /&gt;
end:&lt;/p&gt;

&lt;p&gt;Error, `:=` unexpected&lt;br /&gt;
plots:-animate(Fig, [t], t=0.1..2*Pi, frames=150);&lt;br /&gt;
&amp;nbsp;&lt;/p&gt;
</description>
      <guid>239845</guid>
      <pubDate>Tue, 11 Feb 2025 15:55:40 Z</pubDate>
      <itunes:author>JAMET</itunes:author>
      <author>JAMET</author>
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