<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?validation-md5-digest f6faf7ef5718296f0c27e330190df0f3?>
<worksheet version="3.0.3" xmlns="http://schemas.mathsoft.com/worksheet30" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ws="http://schemas.mathsoft.com/worksheet30" xmlns:ml="http://schemas.mathsoft.com/math30" xmlns:u="http://schemas.mathsoft.com/units10" xmlns:p="http://schemas.mathsoft.com/provenance10" xmlns:prd="http://schemas.mathsoft.com/point-release-data">
	<pointReleaseData/>
	<metadata>
		<generator>Mathcad Professional 14.0</generator>
		<userData>
			<title/>
			<description/>
			<author>Electrical and Computer Engr.</author>
			<company>Parametric Technology Corporation</company>
			<keywords/>
			<revisedBy>Electrical and Computer Engr.</revisedBy>
		</userData>
		<identityInfo>
			<revision>3</revision>
			<documentID>055FDF2D-CBDB-4980-B7F1-645ADD72DE50</documentID>
			<versionID>0DC27ADE-DDA7-4FF7-B955-003C329DD3F0</versionID>
			<parentVersionID>00000000-0000-0000-0000-000000000000</parentVersionID>
			<branchID>00000000-0000-0000-0000-000000000000</branchID>
		</identityInfo>
	</metadata>
	<settings>
		<presentation>
			<textRendering>
				<textStyles>
					<textStyle name="Normal">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Heading 1">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="14" font-weight="bold" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Heading 2">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="12" font-weight="bold" font-style="italic" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Heading 3">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="12" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Paragraph">
						<blockAttr margin-left="0" margin-right="0" text-indent="21" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="List">
						<blockAttr margin-left="14.25" margin-right="0" text-indent="-14.25" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Indent">
						<blockAttr margin-left="108" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Title">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="center" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Times New Roman" font-charset="0" font-size="24" font-weight="bold" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
					<textStyle name="Subtitle" base-style="Title">
						<blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="center" list-style-type="inherit" tabs="inherit"/>
						<inlineAttr font-family="Times New Roman" font-charset="0" font-size="18" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/>
					</textStyle>
				</textStyles>
			</textRendering>
			<mathRendering equation-color="#000">
				<operators multiplication="narrow-dot" derivative="derivative" literal-subscript="large" definition="colon-equal" global-definition="triple-equal" local-definition="left-arrow" equality="bold-equal" symbolic-evaluation="right-arrow"/>
				<mathStyles>
					<mathStyle name="Variables" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Constants" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="User 1" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="User 2" font-family="Courier New" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="User 3" font-family="Arial" font-charset="0" font-size="10" font-weight="bold" font-style="normal" underline="false"/>
					<mathStyle name="User 4" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="italic" underline="false"/>
					<mathStyle name="User 5" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="User 6" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="User 7" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/>
					<mathStyle name="Math Text Font" font-family="Times New Roman" font-charset="0" font-size="14" font-weight="normal" font-style="normal" underline="false"/>
				</mathStyles>
				<dimensionNames mass="mass" length="length" time="time" current="current" thermodynamic-temperature="temperature" luminous-intensity="luminosity" amount-of-substance="substance" display="false"/>
				<symbolics derivation-steps-style="vertical-insert" show-comments="false" evaluate-in-place="false"/>
				<results numeric-only="true">
					<general precision="3" show-trailing-zeros="false" radix="dec" complex-threshold="10" zero-threshold="15" imaginary-value="i" exponential-threshold="3"/>
					<matrix display-style="auto" expand-nested-arrays="false"/>
					<unit format-units="true" simplify-units="true" fractional-unit-exponent="false"/>
				</results>
			</mathRendering>
			<pageModel show-page-frame="false" show-header-frame="true" show-footer-frame="true" header-footer-start-page="1" paper-code="1" orientation="landscape" print-single-page-width="false" page-width="792" page-height="612">
				<margins left="86.4" right="86.4" top="86.4" bottom="86.4"/>
				<header use-full-page-width="false">
					<left>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\f0\fs18 ECE 320\par
Energy Systems I\par
}</left>
					<center>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\qc\f0\fs18 Buck Converter\par
Fourier Series of v_x(t)\par
}</center>
					<right>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\qr\f0\fs18 HW #9\par
Solution\par
}</right>
				</header>
				<footer use-full-page-width="false">
					<left>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\f0\fs18\{p\}\par
\{f\}\par
}</left>
					<center>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\qc\f0\fs18 Page \{n\} of \{nn\}\par
}</center>
					<right>{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fnil\fprq11\fcharset0 Arial;}}
\viewkind4\uc1\pard\qr\f0\fs18 November 13, 2010\par
}</right>
				</footer>
			</pageModel>
			<colorModel background-color="#fff" default-highlight-color="#ffff80"/>
			<language math="en" UI="en"/>
		</presentation>
		<calculation>
			<builtInVariables array-origin="0" convergence-tolerance="0.001" constraint-tolerance="0.001" random-seed="1" prn-precision="4" prn-col-width="8"/>
			<calculationBehavior automatic-recalculation="true" matrix-strict-singularity-check="false" optimize-expressions="false" exact-boolean="true" strings-use-origin="false" zero-over-zero="error">
				<compatibility multiple-assignment="MC12" local-assignment="MC11"/>
			</calculationBehavior>
			<units>
				<currentUnitSystem name="si" customized="false"/>
			</units>
		</calculation>
		<editor view-annotations="false" view-regions="false">
			<ruler is-visible="true" ruler-unit="in"/>
			<plotTemplate>
				<xy item-idref="1"/>
			</plotTemplate>
			<grid granularity-x="6" granularity-y="6"/>
		</editor>
		<fileFormat image-type="image/png" image-quality="75" save-numeric-results="true" exclude-large-results="true" save-text-images="false" screen-dpi="96"/>
		<miscellaneous>
			<handbook handbook-region-tag-ub="1712" can-delete-original-handbook-regions="true" can-delete-user-regions="true" can-print="true" can-copy="true" can-save="true" file-permission-mask="4294967295"/>
		</miscellaneous>
	</settings>
	<regions>
		<region region-id="350" left="6" top="5.25" width="140.25" height="15.75" align-x="8.25" align-y="18" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Heading 1" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">I. Define the Situation</p>
			</text>
		</region>
		<region region-id="1267" left="576" top="7.5" width="33" height="14.25" align-x="585" align-y="18" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">j</ml:id>
					<ml:apply>
						<ml:sqrt/>
						<ml:real>-1</ml:real>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="2"/>
		</region>
		<region region-id="372" left="30" top="38.25" width="305.25" height="12" align-x="41.25" align-y="48" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Given the following buck converter, parameters, currents, and voltages.</p>
			</text>
		</region>
		<region region-id="377" left="54" top="66" width="411.75" height="158.25" align-x="54" align-y="66" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<ole clsid="{00021A14-0000-0000-C000-000000000046}" type="embedded" item-idref="3"/>
			<rendering item-idref="4"/>
		</region>
		<region region-id="1109" left="138" top="254.25" width="73.5" height="12" align-x="151.5" align-y="264" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">
					<b>Source Voltage</b>
				</p>
			</text>
		</region>
		<region region-id="1108" left="228" top="254.25" width="90" height="24" align-x="247.5" align-y="264" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">
					<b>Switching Period and Duty Cycle</b>
				</p>
			</text>
		</region>
		<region region-id="1106" left="360" top="254.25" width="59.25" height="24" align-x="373.5" align-y="264" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">
					<b>Output Filter</b>
				</p>
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">
					<b>Parameters</b>
				</p>
			</text>
		</region>
		<region region-id="1107" left="486" top="254.25" width="69.75" height="12" align-x="499.5" align-y="264" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">
					<b>Output Current</b>
				</p>
			</text>
		</region>
		<region region-id="1080" left="30" top="279" width="70.5" height="18.75" align-x="55.5" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">μsec</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:apply>
							<ml:pow/>
							<ml:real>10</ml:real>
							<ml:real>-6</ml:real>
						</ml:apply>
						<ml:id xml:space="preserve">sec</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="5"/>
		</region>
		<region region-id="1081" left="138" top="285" width="42" height="16.5" align-x="154.5" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="s">V</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:real>10</ml:real>
						<ml:id xml:space="preserve">V</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="6"/>
		</region>
		<region region-id="1093" left="228" top="285" width="55.5" height="16.5" align-x="244.5" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="s">T</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:real>10</ml:real>
						<ml:id xml:space="preserve">μsec</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="7"/>
		</region>
		<region region-id="1083" left="360" top="285" width="48" height="12.75" align-x="371.25" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">L</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:real>200</ml:real>
						<ml:id xml:space="preserve">μH</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="8"/>
		</region>
		<region region-id="1084" left="492" top="285" width="36.75" height="16.5" align-x="506.25" align-y="294" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="o">I</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:real>7</ml:real>
						<ml:id xml:space="preserve">A</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="9"/>
		</region>
		<region region-id="1092" left="228" top="308.25" width="34.5" height="31.5" align-x="241.5" align-y="324" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="s">f</ml:id>
					<ml:apply>
						<ml:div/>
						<ml:real>1</ml:real>
						<ml:id xml:space="preserve" subscript="s">T</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="10"/>
		</region>
		<region region-id="1086" left="360" top="315" width="47.25" height="12.75" align-x="372" align-y="324" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">C</ml:id>
					<ml:apply>
						<ml:mult/>
						<ml:real>470</ml:real>
						<ml:id xml:space="preserve">μF</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="11"/>
		</region>
		<region region-id="1091" left="228" top="351" width="51" height="16.5" align-x="240.75" align-y="360" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="s">f</ml:id>
					<ml:unitOverride>
						<ml:id xml:space="preserve">kHz</ml:id>
					</ml:unitOverride>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>100.00000000000001</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="kilohertz"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="12"/>
		</region>
		<region region-id="1090" left="228" top="375" width="31.5" height="12.75" align-x="240.75" align-y="384" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">D</ml:id>
					<ml:real>0.8</ml:real>
				</ml:define>
			</math>
			<rendering item-idref="13"/>
		</region>
		<region region-id="343" left="6" top="443.25" width="52.5" height="15.75" align-x="8.25" align-y="456" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Heading 1" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">II. Goals</p>
			</text>
		</region>
		<region region-id="1173" left="12" top="470.25" width="444" height="15" align-x="19.5" align-y="480" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">a) Plot v<sub>x</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>using MathCAD's programming tools (the vertical line).</p>
			</text>
		</region>
		<region region-id="290" left="12" top="506.25" width="373.5" height="30" align-x="19.5" align-y="516" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="4.5" margin-right="0" text-indent="-4.5" text-align="left" list-style-type="inherit" tabs="inherit">b) Plot v<sub>x</sub>(t) and v<sub>xFS</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>on the same graph.</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Where v<sub>xFS</sub>(t) is the Fourier Series of<sp count="2"/>v<sub>x</sub>(t). </p>
			</text>
		</region>
		<region region-id="298" left="12" top="554.25" width="494.25" height="57" align-x="19.5" align-y="564" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="inherit">c) Plot v<sub>O</sub>(t) and v<sub>OFS</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>on the same graph.</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Where v<sub>O</sub>(t) is the voltage across the capacitor of a series connection of a capacitor and inductor across v<sub>x</sub>(t) and v<sub>OFS</sub>(t) is the Fourier Series of<sp count="2"/>v<sub>O</sub>(t)obtained from circuit analysis and v<sub>xFS</sub>(t).</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Values for the inductor and capacitor are given above.</p>
			</text>
		</region>
		<region region-id="1113" left="6" top="641.25" width="96" height="15.75" align-x="8.25" align-y="654" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Heading 1" margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit">III. Take Action</p>
			</text>
		</region>
		<region region-id="1119" left="30" top="662.25" width="444" height="15" align-x="37.5" align-y="672" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">a) Plot v<sub>x</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>using MathCAD's programming tools (the vertical line).</p>
			</text>
		</region>
		<region region-id="1207" left="54" top="735" width="45" height="16.5" align-x="71.25" align-y="744" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287037796" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039276" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">c8a3759f97d0dbfefb905b44b19e3e85</contentHash>
					<ml:define>
						<ml:id xml:space="preserve" subscript="o">V</ml:id>
						<ml:apply>
							<ml:mult/>
							<ml:id xml:space="preserve">D</ml:id>
							<ml:id xml:space="preserve" subscript="s">V</ml:id>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="14">
				<element-image-map>
					<box left="1.5" top="0.75" width="43.5" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="1208" left="198" top="735" width="41.25" height="16.5" align-x="214.5" align-y="744" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:provenance expr-id="1">
						<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039316" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</originRef>
						<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287037796" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</parentRef>
						<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<contentHash xmlns="http://schemas.mathsoft.com/provenance10">a4494d417eb5cc6e429b8bfad7b43fea</contentHash>
						<ml:id xml:space="preserve" subscript="o">V</ml:id>
					</ml:provenance>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>8</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="volt"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="15">
				<element-image-map>
					<box left="1.5" top="0.75" width="10.5" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="1213" left="414" top="734.25" width="198" height="12" align-x="435.75" align-y="744" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">Alternative ways to represent the upper bound</p>
			</text>
		</region>
		<region region-id="1209" left="198" top="760.5" width="164.25" height="51.75" align-x="223.5" align-y="780" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="x">v</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:program>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:apply>
									<ml:lessOrEqual/>
									<ml:apply>
										<ml:div/>
										<ml:apply>
											<ml:mult/>
											<ml:id xml:space="preserve">D</ml:id>
											<ml:id xml:space="preserve" subscript="s">T</ml:id>
										</ml:apply>
										<ml:real>2</ml:real>
									</ml:apply>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:apply>
								<ml:apply>
									<ml:minus/>
									<ml:id xml:space="preserve" subscript="s">T</ml:id>
									<ml:apply>
										<ml:div/>
										<ml:apply>
											<ml:mult/>
											<ml:id xml:space="preserve">D</ml:id>
											<ml:id xml:space="preserve" subscript="s">T</ml:id>
										</ml:apply>
										<ml:real>2</ml:real>
									</ml:apply>
								</ml:apply>
							</ml:apply>
							<ml:real>0</ml:real>
						</ml:ifThen>
						<ml:otherwise>
							<ml:id xml:space="preserve" subscript="s">V</ml:id>
						</ml:otherwise>
					</ml:program>
				</ml:define>
			</math>
			<rendering item-idref="16"/>
		</region>
		<region region-id="1210" left="420" top="760.5" width="165.75" height="31.5" align-x="532.5" align-y="780" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:apply xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:equal/>
					<ml:apply>
						<ml:equal/>
						<ml:apply>
							<ml:minus/>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
							<ml:apply>
								<ml:div/>
								<ml:apply>
									<ml:mult/>
									<ml:id xml:space="preserve">D</ml:id>
									<ml:id xml:space="preserve" subscript="s">T</ml:id>
								</ml:apply>
								<ml:real>2</ml:real>
							</ml:apply>
						</ml:apply>
						<ml:apply>
							<ml:mult/>
							<ml:parens>
								<ml:apply>
									<ml:minus/>
									<ml:real>1</ml:real>
									<ml:apply>
										<ml:div/>
										<ml:id xml:space="preserve">D</ml:id>
										<ml:real>2</ml:real>
									</ml:apply>
								</ml:apply>
							</ml:parens>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
						</ml:apply>
					</ml:apply>
					<ml:apply>
						<ml:div/>
						<ml:apply>
							<ml:mult/>
							<ml:parens>
								<ml:apply>
									<ml:minus/>
									<ml:real>2</ml:real>
									<ml:id xml:space="preserve">D</ml:id>
								</ml:apply>
							</ml:parens>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
						</ml:apply>
						<ml:real>2</ml:real>
					</ml:apply>
				</ml:apply>
			</math>
			<rendering item-idref="17"/>
		</region>
		<region region-id="1182" left="6" top="906" width="590.25" height="381.75" align-x="6" align-y="906" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="18"/>
			<rendering item-idref="19"/>
		</region>
		<region region-id="1215" left="30" top="1328.25" width="373.5" height="30" align-x="37.5" align-y="1338" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="4.5" margin-right="0" text-indent="-4.5" text-align="left" list-style-type="inherit" tabs="inherit">b) Plot v<sub>x</sub>(t) and v<sub>xFS</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>on the same graph.</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Where v<sub>xFS</sub>(t) is the Fourier Series of<sp count="2"/>v<sub>x</sub>(t). </p>
			</text>
		</region>
		<region region-id="1259" left="432" top="1324.5" width="87" height="31.5" align-x="441" align-y="1344" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">t</ml:id>
					<ml:range>
						<ml:sequence>
							<ml:apply>
								<ml:mult/>
								<ml:real>0</ml:real>
								<ml:id xml:space="preserve">μsec</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:div/>
								<ml:id xml:space="preserve" subscript="s">T</ml:id>
								<ml:real>1000</ml:real>
							</ml:apply>
						</ml:sequence>
						<ml:id xml:space="preserve" subscript="s">T</ml:id>
					</ml:range>
				</ml:define>
			</math>
			<rendering item-idref="20"/>
		</region>
		<region region-id="1224" left="48" top="1383" width="49.5" height="16.5" align-x="76.5" align-y="1392" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="max">N</ml:id>
					<ml:real>101</ml:real>
				</ml:define>
			</math>
			<rendering item-idref="21"/>
		</region>
		<region region-id="1223" left="108" top="1383" width="62.25" height="16.5" align-x="119.25" align-y="1392" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve">n</ml:id>
					<ml:range>
						<ml:sequence>
							<ml:real>1</ml:real>
							<ml:real>2</ml:real>
						</ml:sequence>
						<ml:id xml:space="preserve" subscript="max">N</ml:id>
					</ml:range>
				</ml:define>
			</math>
			<rendering item-idref="22"/>
		</region>
		<region region-id="1222" left="216" top="1372.5" width="90.75" height="31.5" align-x="231" align-y="1392" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">a</ml:id>
						<ml:id xml:space="preserve">n</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:mult/>
						<ml:apply>
							<ml:div/>
							<ml:apply>
								<ml:mult/>
								<ml:real>2</ml:real>
								<ml:id xml:space="preserve" subscript="s">V</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:mult/>
								<ml:id xml:space="preserve">n</ml:id>
								<ml:id xml:space="preserve">π</ml:id>
							</ml:apply>
						</ml:apply>
						<ml:apply>
							<ml:id xml:space="preserve">sin</ml:id>
							<ml:apply>
								<ml:mult/>
								<ml:apply>
									<ml:mult/>
									<ml:id xml:space="preserve">n</ml:id>
									<ml:id xml:space="preserve">D</ml:id>
								</ml:apply>
								<ml:id xml:space="preserve">π</ml:id>
							</ml:apply>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="23"/>
		</region>
		<region region-id="1225" left="360" top="1376.25" width="222.75" height="36.75" align-x="396" align-y="1392" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="xFS">v</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:apply>
						<ml:plus/>
						<ml:apply>
							<ml:mult/>
							<ml:id xml:space="preserve">D</ml:id>
							<ml:id xml:space="preserve" subscript="s">V</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:summation/>
							<ml:lambda>
								<ml:boundVars>
									<ml:id xml:space="preserve">n</ml:id>
								</ml:boundVars>
								<ml:parens>
									<ml:apply>
										<ml:mult/>
										<ml:apply>
											<ml:absval/>
											<ml:apply>
												<ml:indexer/>
												<ml:id xml:space="preserve">a</ml:id>
												<ml:id xml:space="preserve">n</ml:id>
											</ml:apply>
										</ml:apply>
										<ml:apply>
											<ml:id xml:space="preserve">cos</ml:id>
											<ml:apply>
												<ml:plus/>
												<ml:apply>
													<ml:mult/>
													<ml:apply>
														<ml:mult/>
														<ml:id xml:space="preserve">n</ml:id>
														<ml:apply>
															<ml:div/>
															<ml:apply>
																<ml:mult/>
																<ml:real>2</ml:real>
																<ml:id xml:space="preserve">π</ml:id>
															</ml:apply>
															<ml:id xml:space="preserve" subscript="s">T</ml:id>
														</ml:apply>
													</ml:apply>
													<ml:id xml:space="preserve">t</ml:id>
												</ml:apply>
												<ml:apply>
													<ml:id xml:space="preserve">arg</ml:id>
													<ml:apply>
														<ml:indexer/>
														<ml:id xml:space="preserve">a</ml:id>
														<ml:id xml:space="preserve">n</ml:id>
													</ml:apply>
												</ml:apply>
											</ml:apply>
										</ml:apply>
									</ml:apply>
								</ml:parens>
							</ml:lambda>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="24"/>
		</region>
		<region region-id="1228" left="54" top="1422" width="520.5" height="307.5" align-x="54" align-y="1422" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="25"/>
			<rendering item-idref="26"/>
		</region>
		<region region-id="1230" left="18" top="1766.25" width="494.25" height="57" align-x="25.5" align-y="1776" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="inherit">c) Plot v<sub>O</sub>(t) and v<sub>OFS</sub>(t) versus time for time equal to<sp count="2"/>0 to T<sub>s</sub>
					<sub>
						<sp/>
					</sub>on the same graph.</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Where v<sub>O</sub>(t) is the voltage across the capacitor of a series connection of a capacitor and inductor across v<sub>x</sub>(t) and v<sub>OFS</sub>(t) is the Fourier Series of<sp count="2"/>v<sub>O</sub>(t)obtained from circuit analysis and v<sub>xFS</sub>(t).</p>
				<p style="Normal" margin-left="13.5" margin-right="0" text-indent="-13.5" text-align="left" list-style-type="inherit" tabs="13.5">
					<tab/>Values for the inductor and capacitor are given above.</p>
			</text>
		</region>
		<region region-id="313" left="54" top="1840.5" width="85.5" height="31.5" align-x="71.25" align-y="1860" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039596" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039556" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">9fc66e05b83d57349fb81281bd3fa84b</contentHash>
					<ml:define>
						<ml:id xml:space="preserve">ΔI</ml:id>
						<ml:apply>
							<ml:mult/>
							<ml:apply>
								<ml:mult/>
								<ml:apply>
									<ml:div/>
									<ml:id xml:space="preserve" subscript="o">V</ml:id>
									<ml:id xml:space="preserve">L</ml:id>
								</ml:apply>
								<ml:parens>
									<ml:apply>
										<ml:minus/>
										<ml:real>1</ml:real>
										<ml:id xml:space="preserve">D</ml:id>
									</ml:apply>
								</ml:parens>
							</ml:apply>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="27">
				<element-image-map>
					<box left="1.5" top="0.75" width="84" height="30" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="314" left="198" top="1851" width="54" height="12.75" align-x="214.5" align-y="1860" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:provenance expr-id="1">
						<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287038836" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</originRef>
						<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039436" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</parentRef>
						<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<contentHash xmlns="http://schemas.mathsoft.com/provenance10">cd810dbac35a4b1d1f6546acb4286f6e</contentHash>
						<ml:id xml:space="preserve">ΔI</ml:id>
					</ml:provenance>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>0.079999999999999974</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="ampere"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="28">
				<element-image-map>
					<box left="1.5" top="0.75" width="10.5" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="315" left="54" top="1880.25" width="64.5" height="27.75" align-x="77.25" align-y="1896" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039556" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039396" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">a875f8dc73515a9e1231c344a22ad4bf</contentHash>
					<ml:define>
						<ml:id xml:space="preserve" subscript="min">I</ml:id>
						<ml:apply>
							<ml:minus/>
							<ml:id xml:space="preserve" subscript="o">I</ml:id>
							<ml:apply>
								<ml:div/>
								<ml:id xml:space="preserve">ΔI</ml:id>
								<ml:real>2</ml:real>
							</ml:apply>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="29">
				<element-image-map>
					<box left="1.5" top="0.75" width="63" height="26.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="316" left="198" top="1887" width="60" height="16.5" align-x="220.5" align-y="1896" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:provenance expr-id="1">
						<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039436" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</originRef>
						<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287038836" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</parentRef>
						<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<contentHash xmlns="http://schemas.mathsoft.com/provenance10">92974de4388f1bd06e6bd5ac5bbc4c3b</contentHash>
						<ml:id xml:space="preserve" subscript="min">I</ml:id>
					</ml:provenance>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>6.96</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="ampere"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="30">
				<element-image-map>
					<box left="1.5" top="0.75" width="16.5" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="317" left="54" top="1929" width="72" height="16.5" align-x="78" align-y="1938" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039556" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039636" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">7bfb44f153b5b38da0ab024e5dddfaa8</contentHash>
					<ml:define>
						<ml:id xml:space="preserve" subscript="max">I</ml:id>
						<ml:apply>
							<ml:plus/>
							<ml:id xml:space="preserve" subscript="min">I</ml:id>
							<ml:id xml:space="preserve">ΔI</ml:id>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="31">
				<element-image-map>
					<box left="1.5" top="0.75" width="70.5" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="318" left="198" top="1929" width="60.75" height="16.5" align-x="221.25" align-y="1938" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:provenance expr-id="1">
						<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039636" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</originRef>
						<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039556" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</parentRef>
						<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<contentHash xmlns="http://schemas.mathsoft.com/provenance10">6141fcbef6abb00335a129520c6b2e37</contentHash>
						<ml:id xml:space="preserve" subscript="max">I</ml:id>
					</ml:provenance>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>7.04</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="ampere"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="32">
				<element-image-map>
					<box left="1.5" top="0.75" width="17.25" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="319" left="198" top="1960.5" width="304.5" height="102" align-x="222" align-y="1980" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="L">i</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:program>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:apply>
									<ml:lessOrEqual/>
									<ml:real>0</ml:real>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:apply>
								<ml:apply>
									<ml:div/>
									<ml:apply>
										<ml:mult/>
										<ml:id xml:space="preserve">D</ml:id>
										<ml:id xml:space="preserve" subscript="s">T</ml:id>
									</ml:apply>
									<ml:real>2</ml:real>
								</ml:apply>
							</ml:apply>
							<ml:apply>
								<ml:plus/>
								<ml:apply>
									<ml:mult/>
									<ml:parens>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:minus/>
												<ml:id xml:space="preserve" subscript="s">V</ml:id>
												<ml:id xml:space="preserve" subscript="o">V</ml:id>
											</ml:apply>
											<ml:id xml:space="preserve">L</ml:id>
										</ml:apply>
									</ml:parens>
									<ml:parens>
										<ml:apply>
											<ml:plus/>
											<ml:id xml:space="preserve">t</ml:id>
											<ml:apply>
												<ml:div/>
												<ml:apply>
													<ml:mult/>
													<ml:id xml:space="preserve">D</ml:id>
													<ml:id xml:space="preserve" subscript="s">T</ml:id>
												</ml:apply>
												<ml:real>2</ml:real>
											</ml:apply>
										</ml:apply>
									</ml:parens>
								</ml:apply>
								<ml:id xml:space="preserve" subscript="min">I</ml:id>
							</ml:apply>
						</ml:ifThen>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:apply>
									<ml:lessThan/>
									<ml:apply>
										<ml:div/>
										<ml:apply>
											<ml:mult/>
											<ml:id xml:space="preserve">D</ml:id>
											<ml:id xml:space="preserve" subscript="s">T</ml:id>
										</ml:apply>
										<ml:real>2</ml:real>
									</ml:apply>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:apply>
								<ml:apply>
									<ml:minus/>
									<ml:id xml:space="preserve" subscript="s">T</ml:id>
									<ml:apply>
										<ml:div/>
										<ml:apply>
											<ml:mult/>
											<ml:id xml:space="preserve">D</ml:id>
											<ml:id xml:space="preserve" subscript="s">T</ml:id>
										</ml:apply>
										<ml:real>2</ml:real>
									</ml:apply>
								</ml:apply>
							</ml:apply>
							<ml:apply>
								<ml:plus/>
								<ml:apply>
									<ml:mult/>
									<ml:parens>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:neg/>
												<ml:id xml:space="preserve" subscript="o">V</ml:id>
											</ml:apply>
											<ml:id xml:space="preserve">L</ml:id>
										</ml:apply>
									</ml:parens>
									<ml:parens>
										<ml:apply>
											<ml:minus/>
											<ml:id xml:space="preserve">t</ml:id>
											<ml:apply>
												<ml:div/>
												<ml:apply>
													<ml:mult/>
													<ml:id xml:space="preserve">D</ml:id>
													<ml:id xml:space="preserve" subscript="s">T</ml:id>
												</ml:apply>
												<ml:real>2</ml:real>
											</ml:apply>
										</ml:apply>
									</ml:parens>
								</ml:apply>
								<ml:id xml:space="preserve" subscript="max">I</ml:id>
							</ml:apply>
						</ml:ifThen>
						<ml:ifThen>
							<ml:apply>
								<ml:lessOrEqual/>
								<ml:apply>
									<ml:lessThan/>
									<ml:apply>
										<ml:minus/>
										<ml:id xml:space="preserve" subscript="s">T</ml:id>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:mult/>
												<ml:id xml:space="preserve">D</ml:id>
												<ml:id xml:space="preserve" subscript="s">T</ml:id>
											</ml:apply>
											<ml:real>2</ml:real>
										</ml:apply>
									</ml:apply>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:apply>
								<ml:id xml:space="preserve" subscript="s">T</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:plus/>
								<ml:apply>
									<ml:mult/>
									<ml:parens>
										<ml:apply>
											<ml:div/>
											<ml:apply>
												<ml:minus/>
												<ml:id xml:space="preserve" subscript="s">V</ml:id>
												<ml:id xml:space="preserve" subscript="o">V</ml:id>
											</ml:apply>
											<ml:id xml:space="preserve">L</ml:id>
										</ml:apply>
									</ml:parens>
									<ml:parens>
										<ml:apply>
											<ml:minus/>
											<ml:id xml:space="preserve">t</ml:id>
											<ml:parens>
												<ml:apply>
													<ml:minus/>
													<ml:id xml:space="preserve" subscript="s">T</ml:id>
													<ml:apply>
														<ml:div/>
														<ml:apply>
															<ml:mult/>
															<ml:id xml:space="preserve">D</ml:id>
															<ml:id xml:space="preserve" subscript="s">T</ml:id>
														</ml:apply>
														<ml:real>2</ml:real>
													</ml:apply>
												</ml:apply>
											</ml:parens>
										</ml:apply>
									</ml:parens>
								</ml:apply>
								<ml:id xml:space="preserve" subscript="min">I</ml:id>
							</ml:apply>
						</ml:ifThen>
					</ml:program>
				</ml:define>
			</math>
			<rendering item-idref="33"/>
		</region>
		<region region-id="1400" left="60" top="2205" width="69.75" height="16.5" align-x="84.75" align-y="2214" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287037796" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039396" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">8c4e8c50eb1f1c2e5e9601812c434079</contentHash>
					<ml:define>
						<ml:function>
							<ml:id xml:space="preserve" subscript="C">i</ml:id>
							<ml:boundVars>
								<ml:id xml:space="preserve">t</ml:id>
							</ml:boundVars>
						</ml:function>
						<ml:apply>
							<ml:minus/>
							<ml:apply>
								<ml:id xml:space="preserve" subscript="L">i</ml:id>
								<ml:id xml:space="preserve">t</ml:id>
							</ml:apply>
							<ml:id xml:space="preserve" subscript="o">I</ml:id>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="34">
				<element-image-map>
					<box left="1.5" top="0.75" width="68.25" height="15" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="1418" left="60" top="2239.5" width="137.25" height="41.25" align-x="94.5" align-y="2262" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:apply xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:equal/>
					<ml:apply>
						<ml:id xml:space="preserve" subscript="o">Δv</ml:id>
						<ml:id xml:space="preserve">t</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:plus/>
						<ml:apply>
							<ml:mult/>
							<ml:apply>
								<ml:div/>
								<ml:real>1</ml:real>
								<ml:id xml:space="preserve">C</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:integral auto-algorithm="true"/>
								<ml:lambda>
									<ml:boundVars>
										<ml:id xml:space="preserve">t</ml:id>
									</ml:boundVars>
									<ml:apply>
										<ml:id xml:space="preserve" subscript="C">i</ml:id>
										<ml:id xml:space="preserve">t</ml:id>
									</ml:apply>
								</ml:lambda>
								<ml:bounds>
									<ml:real>0</ml:real>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:bounds>
							</ml:apply>
						</ml:apply>
						<ml:id xml:space="preserve" subscript="atzero">V</ml:id>
					</ml:apply>
				</ml:apply>
			</math>
			<rendering item-idref="35"/>
		</region>
		<region region-id="1417" left="246" top="2253" width="30" height="16.5" align-x="264" align-y="2262" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:apply xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="o">Δv</ml:id>
					<ml:id xml:space="preserve">t</ml:id>
				</ml:apply>
			</math>
			<rendering item-idref="36"/>
		</region>
		<region region-id="1416" left="294" top="2252.25" width="120.75" height="12" align-x="300.75" align-y="2262" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="true">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">has zero average value; i.e.,</p>
			</text>
		</region>
		<region region-id="1415" left="444" top="2230.5" width="154.5" height="61.5" align-x="587.25" align-y="2262" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:apply xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:equal/>
					<ml:apply>
						<ml:integral auto-algorithm="true"/>
						<ml:lambda>
							<ml:boundVars>
								<ml:id xml:space="preserve">t</ml:id>
							</ml:boundVars>
							<ml:parens>
								<ml:apply>
									<ml:plus/>
									<ml:apply>
										<ml:mult/>
										<ml:apply>
											<ml:div/>
											<ml:real>1</ml:real>
											<ml:id xml:space="preserve">C</ml:id>
										</ml:apply>
										<ml:apply>
											<ml:integral auto-algorithm="true"/>
											<ml:lambda>
												<ml:boundVars>
													<ml:id xml:space="preserve">t</ml:id>
												</ml:boundVars>
												<ml:apply>
													<ml:id xml:space="preserve" subscript="C">i</ml:id>
													<ml:id xml:space="preserve">t</ml:id>
												</ml:apply>
											</ml:lambda>
											<ml:bounds>
												<ml:real>0</ml:real>
												<ml:id xml:space="preserve">t</ml:id>
											</ml:bounds>
										</ml:apply>
									</ml:apply>
									<ml:id xml:space="preserve" subscript="atzero">V</ml:id>
								</ml:apply>
							</ml:parens>
						</ml:lambda>
						<ml:bounds>
							<ml:real>0</ml:real>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
						</ml:bounds>
					</ml:apply>
					<ml:real>0</ml:real>
				</ml:apply>
			</math>
			<rendering item-idref="37"/>
		</region>
		<region region-id="1346" left="60" top="2290.5" width="134.25" height="61.5" align-x="102.75" align-y="2322" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30">
					<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039076" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</originRef>
					<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039396" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
						<hash/>
					</parentRef>
					<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
					<contentHash xmlns="http://schemas.mathsoft.com/provenance10">302f247ca458c5fdd31be22d7e4eea5c</contentHash>
					<ml:define>
						<ml:id xml:space="preserve">Constant</ml:id>
						<ml:apply>
							<ml:integral auto-algorithm="true" algorithm="adaptive"/>
							<ml:lambda>
								<ml:boundVars>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:boundVars>
								<ml:apply>
									<ml:mult/>
									<ml:apply>
										<ml:div/>
										<ml:real>1</ml:real>
										<ml:id xml:space="preserve">C</ml:id>
									</ml:apply>
									<ml:apply>
										<ml:integral auto-algorithm="true" algorithm="adaptive"/>
										<ml:lambda>
											<ml:boundVars>
												<ml:id xml:space="preserve">t</ml:id>
											</ml:boundVars>
											<ml:apply>
												<ml:id xml:space="preserve" subscript="C">i</ml:id>
												<ml:id xml:space="preserve">t</ml:id>
											</ml:apply>
										</ml:lambda>
										<ml:bounds>
											<ml:real>0</ml:real>
											<ml:id xml:space="preserve">t</ml:id>
										</ml:bounds>
									</ml:apply>
								</ml:apply>
							</ml:lambda>
							<ml:bounds>
								<ml:real>0</ml:real>
								<ml:id xml:space="preserve" subscript="s">T</ml:id>
							</ml:bounds>
						</ml:apply>
					</ml:define>
				</ml:provenance>
			</math>
			<rendering item-idref="38">
				<element-image-map>
					<box left="1.5" top="0.75" width="132.75" height="60" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="1345" left="264" top="2306.25" width="88.5" height="31.5" align-x="300" align-y="2322" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="atzero">V</ml:id>
					<ml:apply>
						<ml:div/>
						<ml:apply>
							<ml:neg/>
							<ml:id xml:space="preserve">Constant</ml:id>
						</ml:apply>
						<ml:id xml:space="preserve" subscript="s">T</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="39"/>
		</region>
		<region region-id="1347" left="438" top="2307" width="113.25" height="22.5" align-x="473.25" align-y="2322" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:id xml:space="preserve" subscript="atzero">V</ml:id>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>-8.4987119918416442E-05</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="volt"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="40"/>
		</region>
		<region region-id="1348" left="60" top="2359.5" width="138.75" height="41.25" align-x="95.25" align-y="2382" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="o">Δv</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:apply>
						<ml:plus/>
						<ml:apply>
							<ml:mult/>
							<ml:apply>
								<ml:div/>
								<ml:real>1</ml:real>
								<ml:id xml:space="preserve">C</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:integral auto-algorithm="true" algorithm="adaptive"/>
								<ml:lambda>
									<ml:boundVars>
										<ml:id xml:space="preserve">t</ml:id>
									</ml:boundVars>
									<ml:apply>
										<ml:id xml:space="preserve" subscript="C">i</ml:id>
										<ml:id xml:space="preserve">t</ml:id>
									</ml:apply>
								</ml:lambda>
								<ml:bounds>
									<ml:real>0</ml:real>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:bounds>
							</ml:apply>
						</ml:apply>
						<ml:id xml:space="preserve" subscript="atzero">V</ml:id>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="41"/>
		</region>
		<region region-id="1423" left="306" top="2378.25" width="48" height="12" align-x="309.75" align-y="2388" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<text use-page-width="false" push-down="false" lock-width="false">
				<p style="Normal" margin-left="inherit" margin-right="inherit" text-indent="inherit" text-align="inherit" list-style-type="inherit" tabs="inherit">as a check</p>
			</text>
		</region>
		<region region-id="1422" left="396" top="2361.75" width="98.25" height="45" align-x="460.5" align-y="2388" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:provenance expr-id="1">
						<originRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287037796" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</originRef>
						<parentRef doc-id="2BFD841A-9587-4DC2-80CB-4BC292E7B61F" version-id="C6BD7076-36DA-45F4-A152-0A953B24DDC8" branch-id="00000000-0000-0000-0000-000000000000" revision-num="287039436" is-modified="false" region-id="0" href="C:\JLAW\CLASSES\2010 Fall 320\HANDOUTS\PowerElectronics\s28 idealbuckR2.xmcd" xmlns="http://schemas.mathsoft.com/provenance10">
							<hash/>
						</parentRef>
						<comment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<originComment xmlns="http://schemas.mathsoft.com/provenance10"/>
						<contentHash xmlns="http://schemas.mathsoft.com/provenance10">de3ef0819e4447e26f2194e38f40dd99</contentHash>
						<ml:apply>
							<ml:integral auto-algorithm="true" algorithm="adaptive"/>
							<ml:lambda>
								<ml:boundVars>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:boundVars>
								<ml:apply>
									<ml:id xml:space="preserve" subscript="o">Δv</ml:id>
									<ml:id xml:space="preserve">t</ml:id>
								</ml:apply>
							</ml:lambda>
							<ml:bounds>
								<ml:real>0</ml:real>
								<ml:id xml:space="preserve" subscript="s">T</ml:id>
							</ml:bounds>
						</ml:apply>
					</ml:provenance>
					<result xmlns="http://schemas.mathsoft.com/math30">
						<unitedValue>
							<ml:real>2.5410988417629008E-26</ml:real>
							<unitMonomial xmlns="http://schemas.mathsoft.com/units10">
								<unitReference unit="weber"/>
							</unitMonomial>
						</unitedValue>
					</result>
				</ml:eval>
			</math>
			<rendering item-idref="42">
				<element-image-map>
					<box left="1.5" top="0.75" width="58.5" height="43.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/>
				</element-image-map>
			</rendering>
		</region>
		<region region-id="1711" left="60" top="2475" width="87" height="16.5" align-x="87" align-y="2484" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="o">v</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:apply>
						<ml:plus/>
						<ml:id xml:space="preserve" subscript="o">V</ml:id>
						<ml:apply>
							<ml:id xml:space="preserve" subscript="o">Δv</ml:id>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="43"/>
		</region>
		<region region-id="1712" left="66" top="2546.25" width="50.25" height="31.5" align-x="83.25" align-y="2562" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">ω</ml:id>
						<ml:id xml:space="preserve">n</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:mult/>
						<ml:id xml:space="preserve">n</ml:id>
						<ml:apply>
							<ml:div/>
							<ml:apply>
								<ml:mult/>
								<ml:real>2</ml:real>
								<ml:id xml:space="preserve">π</ml:id>
							</ml:apply>
							<ml:id xml:space="preserve" subscript="s">T</ml:id>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="44"/>
		</region>
		<region region-id="1708" left="216" top="2529.75" width="97.5" height="64.5" align-x="233.25" align-y="2562" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:apply>
						<ml:indexer/>
						<ml:id xml:space="preserve">H</ml:id>
						<ml:id xml:space="preserve">n</ml:id>
					</ml:apply>
					<ml:apply>
						<ml:div/>
						<ml:apply>
							<ml:div/>
							<ml:real>1</ml:real>
							<ml:apply>
								<ml:mult/>
								<ml:apply>
									<ml:mult/>
									<ml:id xml:space="preserve">j</ml:id>
									<ml:apply>
										<ml:indexer/>
										<ml:id xml:space="preserve">ω</ml:id>
										<ml:id xml:space="preserve">n</ml:id>
									</ml:apply>
								</ml:apply>
								<ml:id xml:space="preserve">C</ml:id>
							</ml:apply>
						</ml:apply>
						<ml:apply>
							<ml:plus/>
							<ml:apply>
								<ml:mult/>
								<ml:apply>
									<ml:mult/>
									<ml:id xml:space="preserve">j</ml:id>
									<ml:apply>
										<ml:indexer/>
										<ml:id xml:space="preserve">ω</ml:id>
										<ml:id xml:space="preserve">n</ml:id>
									</ml:apply>
								</ml:apply>
								<ml:id xml:space="preserve">L</ml:id>
							</ml:apply>
							<ml:apply>
								<ml:div/>
								<ml:real>1</ml:real>
								<ml:apply>
									<ml:mult/>
									<ml:apply>
										<ml:mult/>
										<ml:id xml:space="preserve">j</ml:id>
										<ml:apply>
											<ml:indexer/>
											<ml:id xml:space="preserve">ω</ml:id>
											<ml:id xml:space="preserve">n</ml:id>
										</ml:apply>
									</ml:apply>
									<ml:id xml:space="preserve">C</ml:id>
								</ml:apply>
							</ml:apply>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="45"/>
		</region>
		<region region-id="1709" left="354" top="2546.25" width="252.75" height="36.75" align-x="391.5" align-y="2562" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<math optimize="false" disable-calc="false">
				<ml:define xmlns:ml="http://schemas.mathsoft.com/math30">
					<ml:function>
						<ml:id xml:space="preserve" subscript="oFS">v</ml:id>
						<ml:boundVars>
							<ml:id xml:space="preserve">t</ml:id>
						</ml:boundVars>
					</ml:function>
					<ml:apply>
						<ml:plus/>
						<ml:apply>
							<ml:mult/>
							<ml:id xml:space="preserve">D</ml:id>
							<ml:id xml:space="preserve" font="1" subscript="s">V</ml:id>
						</ml:apply>
						<ml:apply>
							<ml:summation/>
							<ml:lambda>
								<ml:boundVars>
									<ml:id xml:space="preserve">n</ml:id>
								</ml:boundVars>
								<ml:parens>
									<ml:apply>
										<ml:mult/>
										<ml:apply>
											<ml:absval/>
											<ml:apply>
												<ml:mult/>
												<ml:apply>
													<ml:indexer/>
													<ml:id xml:space="preserve">a</ml:id>
													<ml:id xml:space="preserve">n</ml:id>
												</ml:apply>
												<ml:apply>
													<ml:indexer/>
													<ml:id xml:space="preserve">H</ml:id>
													<ml:id xml:space="preserve">n</ml:id>
												</ml:apply>
											</ml:apply>
										</ml:apply>
										<ml:apply>
											<ml:id xml:space="preserve">cos</ml:id>
											<ml:apply>
												<ml:plus/>
												<ml:apply>
													<ml:mult/>
													<ml:apply>
														<ml:mult/>
														<ml:id xml:space="preserve">n</ml:id>
														<ml:apply>
															<ml:div/>
															<ml:apply>
																<ml:mult/>
																<ml:real>2</ml:real>
																<ml:id xml:space="preserve">π</ml:id>
															</ml:apply>
															<ml:id xml:space="preserve" subscript="s">T</ml:id>
														</ml:apply>
													</ml:apply>
													<ml:id xml:space="preserve">t</ml:id>
												</ml:apply>
												<ml:apply>
													<ml:id xml:space="preserve">arg</ml:id>
													<ml:apply>
														<ml:mult/>
														<ml:apply>
															<ml:indexer/>
															<ml:id xml:space="preserve">a</ml:id>
															<ml:id xml:space="preserve">n</ml:id>
														</ml:apply>
														<ml:apply>
															<ml:indexer/>
															<ml:id xml:space="preserve">H</ml:id>
															<ml:id xml:space="preserve">n</ml:id>
														</ml:apply>
													</ml:apply>
												</ml:apply>
											</ml:apply>
										</ml:apply>
									</ml:apply>
								</ml:parens>
							</ml:lambda>
						</ml:apply>
					</ml:apply>
				</ml:define>
			</math>
			<rendering item-idref="46"/>
		</region>
		<region region-id="1710" left="24" top="2634" width="506.25" height="397.5" align-x="24" align-y="2634" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag="">
			<plot disable-calc="false" item-idref="47"/>
			<rendering item-idref="48"/>
		</region>
	</regions>
	<binaryContent>
		<item item-id="1" content-encoding="gzip">H4sIAAAAAAAA/4yQwW7CMAyG7aZbS9etu3AhSOUZeIIdENph2iT2ACiUAkVUTF2ROPLm3W8n
u+w0R3b+Ot/vRsmJiJGfyEy1QS228/W+c1+H9e7cta5PSGKMHGl74XqnLZog07b62Bzrqvet
ld8omqGYMF+8hWr5yty1+V7q6FjZKfKNA+tjwCKe/r/7OzzpO1fV84XRIxvAkp+JLQ+imG0E
U8kRWwNryYZtPEgnBkMDxB2Y2wuO7oURV6IMRCqMwCOZI/YMjNofwKg9B6P2R/0XxJMyEIUw
AvvrFu+Xtu6ayp38g6R67VfklhosE14uC6/5J3IpPwAAAP//AwARvY6sxgEAAA==</item>
		<item item-id="2">iVBORw0KGgoAAAANSUhEUgAAACwAAAATCAYAAADrqO95AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ALpJREFUSEvVluEOwBAMhO39H3pjWcUY11NhmuwXab+eUztOH26nCMA7hdsJ9nbDKmDvwmBF
/lsJ3FN7qcJm4HBEM4Ktk+6fQ5ipwACLzyXF74GfdyK2/AJudc6ogmzF5vq0RC59rWhtFCHI
dH0IcC49A4Caa8FqBKheOk3nmgIIkBXDBMwWKy5Nx+jsAtao37JGHEskcHqixb+EBQopL7mt
NdRjDQGhde0UgnnEY9bOUaFRU2jqSzdClAvduGkzB8qltAAAAABJRU5ErkJggg==</item>
		<item item-id="3" content-encoding="gzip">H4sIAAAAAAAA/+x9B0ATSdTwzKZSNI0iKiSACNbQwboBwa6hWvECCii2IEXsARW7BhQsZwkq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</item>
		<item item-id="4">iVBORw0KGgoAAAANSUhEUgAAAiUAAADTCAYAAABeOWPGAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
GlVJREFUeF7tnYGW1LgORHn//9H7dlgaMiGJJdkly87lHM4C7UjyLUWpcffM/u+ff3/94BcE
IAABCEAAAhCYTeDLlPALAhCAAAQgAAEIzCbwY3YB5IcABCAAAQhAAAI/37kBAwQgAAEIQAAC
EKhAAFNSQQVqgAAEIAABCECAkxJ6AAIQgAAEIACBGgQ4KamhA1VAAAIQgAAEXk8AU/L6FgAA
BPYi8OMw1Y5//uzy6t/2IsBuILAuAUzJutpROQQgcCJwNhx3BgRjQutAoCYBTElNXagKAksQ
qPZwx5Qs0TYUCYFbApiSlzQHR9ovETp5mwpT0nO6ce7zr79/fh/RKOpORk86CGxJAFOypazf
N8VXjy8QedIWFQ/3qCnxfn5EUfskGUgLgW0IYEo6pFxlqGFKOkTm0r8IHE8fzn8ehcvas63T
j6d7dJX7dxRT4kBgBQKYkg6VFEMt+lXi0zY40u4QmUsfCSjuga+Ed6bEazK865EbAhCYSwBT
0sFfMZBHmxKOtDsE5tImAcU9sKopuTpBagJkAQQg8I0ApsTZEFWPru+2gSlxCsxyFwGVKTka
k/NJH73ukojFEFiKAKakQy7VQI68n86g7hCSS0sS+NwHmJKS8lAUBCQEMCUdWDElbXgcabcZ
seKegMegcypIJ0FgfQKYkg4NVabk7uj68++fB/1x3WcbliHOh/86ROfSVAKWfj4WdLX+eL/c
3SepmyIZBCBwSwBTUrQ5LEfX52FruebKyDwN9aJ4KOulBFpfCLRex5S8tHHY9jIEMCWFpbo7
jr776vFsSq6+QsSUFBac0poEWm8HYkqaCFkAgdIEMCWF5bG+zXJlRo7mgyPtwiJT2nACLWPS
en14QQSEAATMBDAlZlTzFz69v+557W4nDOv5GlMBBCAAgTcTwJQspv7x+PpYOqZkMSEpFwIQ
gAAE/iKAKXlJU7ROQVqvvwQT24QABCAAgYkEMCUT4ZMaAhCAAAQgAIE/BDAldAMEIAABCEAA
AiUIYEpKyEAREIAABCAAAQhgSugBCEAAAhCAAARKEMCUlJCBIiAAAQhAAAIQwJTQAxCAAAQg
AAEIlCCAKSkhA0VAAAIQgAAEIIApoQcgAAETgR/iH2ajjK+M/QVPHd8kEIsgsAEBTMkGIrIF
CCgIfD1on3735iR+L0Guh8B+BDAl+2ka3hFf7YXRbXXhnVn4nAhcve4B4I3viX1X46zauae8
6rH+7QQwJS/ugPPD4cUo2PovAseeaEGJ9E80fquWz+vK+N79emqx7o91ENidAKZkd4VP+2NQ
vkxwx3Y/veG45OdSy3U9fVcpvpeNlU8kLtdAYEcCmJIdVcWIvEDVsVu0PPifMj5d32NIzicg
VzWsHn+skkSDwNoEMCVr63dZvfeYeUMEbMlBoNeQtIyDMv6o2HcnGqPij4rjkJWlEFiSAKZk
Sdn+LnrEV4uboGAbDgKjH5bneCvFz67dIRNLIfAaApiSRaXmNGRR4YqVrTQNo2OfTzNWj1+s
FSgHAiUIYEpKyGArgtMQGydW2QkoH+yK2Edjooh/jKmOb1eJlRB4DwFMSXGtMSLFBVq4PMVD
V20asuMr5FVxV9RKTAhkE8CUZBNv5ONtmWKCbFyO8uGoNtPUvnFjsrVXE8CUFJBfPcALbJES
ChLIeLCrtq2s/Xgao6hfXbuiZmJCIIsApiSL9CkPRmQSeNL+JKB+MBL/vtHUbGhxCKxMAFOS
pN5Kb8uca+Xvz/9jupX5qNpf/eBdOf7K/bJD7aqeJ+4YAkuZkpVviDFy5URZmTO1+wyUqqNW
Ng3qkyR61Nej8FqXV2S+LGdKIpvkmr0JfA0tfkEAAhCwEGBeWCj1r4lyXmqaRzfZj5cIlQnQ
F5XVoTYI1CLAvMjRI8oZU5KjD1mEBKLNLyyJ0BCAQFECzIscYaKcMSU5+pBFSCDa/MKSCA0B
CBQlwLzIESbKGVOSow9ZhASizS8sidAQgEBRAsyLHGGinDElOfqQRUgg2vzCkggNAQgUJcC8
yBEmyhlTkqMPWYQEos0vLInQEIBAUQLMixxhopwxJTn6kEVIINr8wpIIDQEIFCXAvMgRJsoZ
U5KjT6ks6h9slb3ZaPNn11k93259UZ039c0hwLzI4R7ljCnJ0adUlvNPSCxVXKCYaPMHUm19
yW59sbVYbC5MgHkRRue6MMoZU+LCvMfi88Nn9a+Qo82/h5rjdrFbX4wjQ6SdCDAvctSMcsaU
iPW5G/SV/12MZHj4aPMPLyQ5YHYPJW+PdBCQEHjrvJDAfAga5YwpyVaqQL6nh1mB8twlRJvf
nWjzC3bri83lYntBAsyLIDjnZVHOmBIn6B2WXz18Vt5XtPlX3rOi9t36QsGImOsTYF7kaBjl
jCnJ0adUluPDp1RhwWKizR9Mt+1lfNB1W2nZ2IEA8yKnHaKcMSU5+pTKEm2WUptgyAyXY/UP
PA8HQsAtCew2/6qKFOWMKamqKHWZCUSb35yAhRCAwDYEmBc5UkY5Y0py9CGLkEC0+YUlERoC
EChKgHmRI0yUM6YkRx+yCAlEm19YEqEHE0DjwUBfHI5eyhE/yhlTkqMPWYQEos0vLInQgwmg
8WCgLw5HL+WIH+WMKcnRhyxCAtHmF5ZE6MEE0Hgw0BeHo5dyxI9yxpTk6EMWIQFP83vWCksm
tJMAujmBsfyWAL2U0xxRzpiSHH3IIiTgaX7PWmHJhHYSQDcnMJZjSib3QPSexZRMFo70/QSs
zf/5ORzW9f2VEWEUATQbRZI49FJOD0Q5v9aU/HDu/Lj+6lpvPEtbjIg5o27L3kausTb/bqbE
0x+r94FV45F9Raw9CdBLObpGOTsfzTmbucsS3WRv1efhf/cw8DwkemuyXL9q3Za9HddY+uJo
SD5/9uZZdf0OfWDReFV9qDuXAL2UwzvKGVNi0GfVob5q3QZJvi2xND+m5A+yVUy113h6+4b1
7yRgmRfvJDN211HOrzUlnlON89H3198/v78PztGi9sWbVXdf1f6rW81/ZUh2OC2x9vAOfdDS
2N81XPFWAvRSjvJRzpiShj7ez488fRV6NDPnP1+VYX3oWK99iteTK6fF77O0mv/4+ufPbzEl
o/q3usaz6yP/OgRa82KdndSuNMoZU5JkSiLt02MUdnkYWbh5mt+z1pJ75hpLf+zSB7ueds3s
n7fm3mkGVNYwyhlT8kvVu5OLmUPd8tC5a8qZdWffKJ7m96zN3oc3X+s7ar7ivakPvPxY/04C
O82AygpGOWNKGoN75lDHlNhuOU/ze9bass9bhSmZx57M6xLYaQZUViHKGVNyY0o+Yo8yJU+f
J7F8N8T5w7Xna1p/v/uq+WmflRv+WJun+T1rq+8fU1JdIeqrSGCnGVCR759nSsxexK6aRGJk
M109xK0GJOsDo588rVqv1ln3gimZ1MwD0mJKBkAkxOsIjHyOvA6eY8NRzpiSE+TPicTokxKH
lr+Xnh86d6chZ1Ny3oPFePS8VRTZ28hrPM3/tNbKIGoGRu75fPJlOW3bvQ9G8yXengQ882JP
Ajm7inLGlNzo8/TgOb+VYhn2kTZonXZcmZHjw+ruhMXyVk+k3lnXeJrfs/ZqPx52VpMT5WYx
R2fz8vn7lXFV1xvdJ9dBYCSB3hkwspadY0U5v9aUHJvB+vBvNZBqqD89CD2v3dWvqrvFa9Tr
nub3rK1uSlo97DXLq/fBqH4izt4EemfA3nTG7S7KGVPyS4Pj6Yfnq2Hrg6FXauvpjPWr56y6
e/dtud7T/L1v31y9pRZ5u8yyL8+ac/++sQ88vFj7XgKeefFeSv07j3LGlBjZt76KbL1uTDN8
Wauu1uvDCxIE9DR/jylpnahZTlYE2zeFbOncet2UhEUQWICAZ14ssJ2yJUY5Y0rKSkphVgKe
5n+rKbGyZB0EdifgmRe7s1DuL8oZU6JUhdgpBDzNHzEl5w8UHzfVOmFovZ4CiCQQgMBvAp55
AbY4gShnTEmcOVcWIeBpfkxJEdEoAwKTCHjmxaQSt0gb5Ywp2UL+d2/C0/xWU3L88ConJe/u
L3a/FwHPvNhr57m7iXLGlOTqRDYBAU/zW0zJ1XfYfJW98gddBdgJCYElCXjmxZIbLFJ0lDOm
pIiAlBEn4Gl+ryk5mhFMSVwjroRAFQKeeVGl5hXriHLGlKyoNjV/I+Bp/h5TcnVacvfzY+5O
VpAOAhCYS8AzL+ZWunb2KGdMydq6U/3Pt1XsbWxZe/f2jddoOMpCRwhAIImAZQYklbJ1mihn
+zQvgC+6yQKlU4KQgKcvrGuvPuiKKRGKSGgIJBGwzoCkcrZNE+WMKdm2Jd6zMU/ze9beEbSc
gFjWvEchdgqBOgRGzIA6u6lbSZQzpqSuplRmJBBtfmN4lkEAAhsRYF7kiBnljCnJ0YcsQgLR
5heWRGgIQKAoAeZFjjBRzpiSHH3IIiQQbX5hSYSGAASKEmBe5AgT5YwpydGHLEIC0eYXlkRo
CECgKAHmRY4wUc6Ykhx9yCIkEG1+YUmEhgAEihJgXuQIE+WMKcnRhyxCAtHmF5ZEaAhAoCgB
5kWOMFHOmJIcfcgiJBBtfmFJhIYABIoSYF7kCBPljCnJ0YcsQgLR5heWRGgIQKAoAeZFjjBR
zpiSHH3IIiQQbX5hSYSGAASKEmBe5AgT5YwpydGHLEIC0eYXlkRoCECgKAHmRY4wUc4mU1Ll
R2ZHN5kjAVlmEaAvZpEnLwT+EKjynGhpwrxoERrzepQzpmQMf6JMJBBt/oklkxoC2xHAlGwn
adeGonMZU9KFnYsrEIg2f4XaqQECuxDAlOyi5Jh9ROfyrSn5/K/br/47pmR/lOgm/Zm4YiUC
9MVKalHrTgQqPidafJkXLUJjXo9y5qRkDH+iTCQQbf6JJZMaAtsR4KRkO0m7NhSdy5iSLuxc
XIFAtPkr1E4NENiFAKZkFyXH7CM6lzElY/gTZSKBaPNPLJnUENiOAKZkO0m7NhSdyyZT0lXZ
wIujmxxYAqEKEqjQF6sM5ILyURIEUglUmBepG56ULMoZUzJJMNKOIxBt/nEV/PMPpmQkTWJB
QEegwrzQ7W5u5C+2V789VWFKPLRYW5JAhSGDKSnZGhQFgb8IVJgXu8nyMSLHfR05H41Ka++Y
khYhXi9PYNaQWfHbIcuLSYEQEBOYNS/E25oW/o6n998/G8CUTJOSxKMIVBgynJSMUpM4ENAS
qDAvtDvMiX51OnJ3UnKu6OlaTEmOfmQREqgwZDAlQoEJDYGBBCrMi4HbmRLKwjC6BlMyRdLa
SSv9FF8LKUvzW+L0rMGU9NDjWgjkEagwL/J2Oz6TlZ9l3dWaNFNy96nc7H8fLxERZxOwNP/s
GskPAQiMIZD9zOj9bpIxu64RxTNrrWvP69JMSQ2kVLEjAWvz77h39gQBCEDgioDi9NYza6Nr
MSX08/IEPM2//GbZAAQgAAEDgdGmxDtnPeuPazElBnFZUpuAp/lr74TqIAABCIwhsLwpaW2g
9foYjESBgJ8ApsTPjCsgECHQeg60Xo/k5JoYgdFaeOdsdP3vk5LWBlqvx7BxFQT6CXibvz8j
ESDwTgKt50Dr9XdSm7PrkVpEZqz3ms/6b2/f3G1i5ObmyEPWnQl4m39nFuwNAmoCPCfUhMfE
H/ncjsxY7zVlTInq27vGyEqUFQh4m3+FPVEjBKoSqGhKeI783S1nnY4/f8rbW5EZ672mjCnx
wmE9BM4EvM0PQQhAIE6goimJ72bfK486XRkUz84jM9Z7zaUp+Sqyt3jPRlkLgREEvM0/Iicx
IPBmAjwn6qv/0WiEiYzMWO81mJL6PUWFRgLe5jeGZRkEIHBDAFNSvzVeY0rO/1+U+tJQ4e4E
KpqSp6PTqxPJ3TVif3sRsJiSns8w7EVrzm62MSXHgWltvDnIyZpJoPJDtpopsdw3GJPM7iWX
gsDTQ896DyjqIuZ/BEaakv/i+X7WanT9ZZa7zThr+tYbqk9He+PSsH4C1gHT0x/nqry6Wtf7
d++/YgYvf5VcAYE+At7nxKj5YL3Xlev6yOVfbZ1JT5VFTYZlt8fYt9bn6cMxo5rLUixr5hOw
NvSsvvDeLC2ivR8MO58q3R1jz+LV2j+vQ8BK4KqHe+8fa27W+Qj0vp1mmbNPRtBqeNym5BP4
s0EfFlbPItAzKKo/ZC03i4f7KFbHe+UuP8bEowxrqxHAlFRTRFtPa9ZKTYl1awxVK6m566IP
Ws/Q+drhjH5o3SgR8tbToXPsFXhFeHANBKwEorPGGp918whYZu2VMbGekvx8hni25x24ntis
1ROIPGi9mmebkuMNMJLgHasWj9brFhMzch/EgsAMApFZM6NOcvoJtIyJx5RcxXKZks9Xwr3v
TfkxcMUIAtZBcX67xvMg3d2UnE+DLEyfmGTzGtFHxICAhQDPCQulNdd4jInnlMR9UqLAp/qE
tKLW1WNaHqCth+75dY9hUfBTnZQc9/nEzcIUU6JQnpgQ+EOA50h+NzwZE8tcvrvefVKSv/Xv
jTcz/w65Pw/Iq4fp1WuV347wHBNGtLtjdTwxtJgyTEmEPtdAQEOg9VW+JuueUT8z+Gp3t6bj
34H4aGhWQkUz9avVMh6fI9dPpjebkqdToTOnFXj1dw8RILA+AZ4j4zW8/GzI6eHxZGCOFXFS
Ml6f8hFbbzms8pkS9UnJnSnx8rl7b53Pk5S/VShwQwKYEo2orbfQrFkxJVZSG63zmJKrB3OF
h2z0++FHyOg1JXc5MSUj1CAGBHwEMCU+XpHVPYwxJRHim11zfsi2TEuFh+wsU2J5O8tqNqzr
Nms3tgOBqQR6HphTC18oeQ9jTMlCQitLPX5GAlPST7plOFqv91dABAhA4IpAzwMTojYCPYwx
JTbGr1/Veoi2XlcC7LkBlHURGwIQqEeAeaHXpIcxpkSvDxnEBHpuAHFphIcABIoRYF7oBelh
jCnR60MGMYGeG0BcGuEhAIFiBJgXekF6GGNK9PqQQUyg5wYQl0Z4CECgGAHmhV6QHsaYEr0+
ZBAT6LkBxKURHgIQKEaAeaEXpIfxoyk5/jyKu59gqd/enww9G82sk1y5BOiLXN5kg8CRQLXn
REsd5kWLUP/rPYw5KennT4TJBHpugMmlkx4CEEgmwLzQA+9hjCnR60MGMYGeG0BcGuEhAIFi
BJgXekF6GGNK9Posm2Hmzx7xQOu5ATx5WAsBCKxPgHmh17CHMaZEr8+yGTAly0pH4RCAwA2B
ngcmUG0EehhjSmyMX7kKU/JK2dk0BLYm0PPA3BrMwM31MMaUDBRih1BXn6Sv8J1XT2x7boAd
NGMPEICAnQDzws4qurKHMaYkSv0F13FS0hZ5tW+HbO+IFRDYm0DPA3NvMuN218MYUzJOh+0i
YUq2k5QNQeD1BHoemK+HZwTQwxhTYoT8xmWYkjeqzp4hsDeBngfm3mTG7a6HMaZknA5EmkSg
5waYVDJpIQCBSQSYF3rwPYwxJXp9yCAm0HMDiEsjPAQgUIwA80IvSA9jTIleHzKICfTcAOLS
CA8BCBQjwLzQC9LDGFOi14cMYgI9N4C4NMJDAALFCDAv9IL0MMaU6PUhg5hAzw0gLo3wEIBA
MQLMC70gPYwxJXp9yCAm0HMDiEsjPAQgUIwA80IvSA9jTIleHzKICfTcAOLSCA8BCBQjwLzQ
C9LDGFOi14cMYgI9N4C4NMJDAALFCDAv9IL0MMaU6PUhg5hAzw0gLo3wEIBAMQLMC70gPYwx
JXp9yCAm0HMDiEsjPAQgUIwA80IvSA9jTIleHzKICfTcAOLSCA8BCBQjwLzQC9LDGFOi14cM
YgI9N4C4NMJDAALFCDAv9IL0MMaU6PUhg5hAzw0gLo3wEIBAMQLMC70gPYwxJXp9yCAm0HMD
iEsjPAQgUIwA80IvSA9jTIleHzKICfTcAOLSCA8BCBQjwLzQC9LDGFOi14cMYgI9N4C4NMJD
AALFCDAvcgSJcsaU5OhDFiGBaPMLSyI0BCBQlADzIkeYKGdMSY4+ZBESiDa/sCRCQwACRQkw
L3KEiXLGlOToQxYhgWjzC0siNAQgUJQA8yJHmChnTEmOPmQREog2v7AkQkMAAkUJMC9yhIly
xpTk6EMWIYFo8wtLIjQEIFCUAPMiR5goZ0xJjj5kERKINr+wJEJDAAJFCTAvcoSJcsaU5OhD
FiGBaPMLSyI0BCBQlADzIkeYKGdMSY4+ZBESiDa/sCRCQwACRQkwL3KEiXLGlOToQxYhgWjz
C0siNAQgUJQA8yJHmChnTEmOPmQREog2v7AkQkMAAkUJMC9yhIlyxpTk6EMWIYFo8wtLIjQE
IFCUAPMiR5goZ0xJjj5kERKINr+wJEJDAAJFCTAvcoSJcsaU5OhDFiGBaPMLSyI0BCBQlADz
IkeYKGdMSY4+ZBESiDa/sCRCQwACRQkwL3KEiXLGlOToQxYhgWjzC0siNAQgUJQA8yJHmChn
TEmOPmQREog2v7AkQkMAAkUJMC9yhIlyxpTk6EMWIYFo8wtLIjQEIFCUAPMiR5goZ0xJjj5k
ERKINr+wJEJDAAJFCTAvcoSJcsaU5OhDFiGBaPMLSyI0BCBQlADzIkeYKGdMSY4+ZBESiDa/
sCRCQwACRQkwL3KEiXLGlOToQxYhgWjzC0siNAQgUJQA8yJHmChnTEmOPmQREog2v7AkQkMA
AkUJMC9yhIlyxpTk6EMWIYFo8wtLIjQEIFCUAPMiR5goZ0xJjj5kERKINr+wJEJDAAJFCTAv
coSJcsaU5OhDFiGBaPMLSyI0BCBQlADzIkeYKGdMSY4+ZBESiDa/sCRCQwACRQkwL3KEiXLG
lOToQxYhgWjzC0siNAQgUJQA8yJHmChnTEmOPmQREog2v7AkQkMAAkUJMC9yhIlyxpTk6EMW
IYFo8wtLIjQEIFCUAPMiR5goZ0xJjj5kERKINr+wJEJDAAJFCTAvcoSJcl7OlHxtlN8woAfo
AXqAHqAHavdAxP5gSjA5mDx6gB6gB+gBemB4D2xvSiIb5BoIQAACEIAABNYg8H+ZDna7E78g
NQAAAABJRU5ErkJggg==</item>
		<item item-id="5">iVBORw0KGgoAAAANSUhEUgAAAF4AAAAZCAYAAAC4j5m6AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="6">iVBORw0KGgoAAAANSUhEUgAAADgAAAAWCAYAAACVIF9YAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AOFJREFUWEftVu0OgCAIrPd/6FKXG5HQMb+KcuuHG8kdd6DrFtbieUWCntfimVxy52cIhjaM
vZi+oy9P+xGFyLlpLo6rhEPDflKQJygl7EWUFjfnsOCRYh9DMLuGq6ftkdjmBGtUv1NMOxtS
kFaxBijvYaSPahWUsF+mKB0yvfpNOteioDSQeKG6EaSqPUrBklVGKWlREHaBdK9oB5RGujTa
0eJIKqPqi1cLCuDi7eNBYPl/RqzpqaYpNwM8ktNEkNqg9hpBwLWIMRGkpNwSfJtNTQq2sMzo
M36CoyveOp97BXeYPiTMUKnaSAAAAABJRU5ErkJggg==</item>
		<item item-id="7">iVBORw0KGgoAAAANSUhEUgAAAEoAAAAWCAYAAABnnAr9AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AUNJREFUWEftlv0RgyAMxe22DuEIruQO/usWbmCFKy1iIC8gfvTCndfTRvL4kRd5LetodPAE
DCgdPIGGD9EI6zrFgBH4glpNanoVeWFTlUeZ/OHwNZVnyJ9hA8pN4wumxOeni7/pgPgRYe6z
tFAqSetdJYgDk9I1TdNmfeF96eYeDqoEcgko/91xHG0LQW1MVfPn2PRrRWSZEUmkO5LT72qC
irUT9PnhFSUFKulJqd7JVRRUNV6B7Dbt3ytqnufNEkNgsVZxGqicyiq13jAMNq35dXP1fW+f
oRaLffl31uPOLcj/uZBiR4SYbULbtm27GDDm6rrOXg5eSjdnSwtasqhUj5DMUyO25GuL6BGD
qi0IEV2rr6Zyi0D5/r0bsNp6RKDubL3cSkTfE4NCGiua/ElxIlBPWtjRWhUUSFRBKSiQABj2
BoewnBPSeg7+AAAAAElFTkSuQmCC</item>
		<item item-id="8">iVBORw0KGgoAAAANSUhEUgAAAEAAAAARCAYAAABtu6qMAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AQJJREFUWEftVtENhCAM9bZlCEZgJXbwly3YwBNymMK1QBHuSLAJMdZi+559xddx2rayOQJW
tm1l8L77HwI+DJxjwM0Cv0YZlYPr59SHvRv6IrSjwcPCQ640Z8nPAR9iMVxXHqyoliTcPSWg
FDFYHmNM5E7vuxPQo1N6EgDr2ff9S8bdCYCtFempcobAgnpIoIYAqs6fzQBKai0E5OQxfQeU
tF2SBjYDqA6w1vrwWxLooXdsGpeAlohKO0pr7V3uGvYqpeoJwDRCgW8hJTcr4LMUWHiWO2Vc
jBDicIDdklL6FchI3xHVwj2+Zoxv+SBXV84IiFvTQ8CN3/dxP/7cz/in+DeTdljmcyFwFwAA
AABJRU5ErkJggg==</item>
		<item item-id="9">iVBORw0KGgoAAAANSUhEUgAAADEAAAAWCAYAAABpNXSSAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AMZJREFUWEftVtESABEIdP//0XeYcxNCKeYYzXgrtW0t123NrG4OxOpmVgfgJ2krEHYt3G74
M8NgPk5erL6o4lkAXjGJekXN/SsQEAEXQOqvwgS1iNKYUuOD3xAQoThszikF9vjAGBUmJEKA
zjgiLjUhUAXRw0QPC5D57J2gXCjpOhZLyVny+XYEm+dUOVo6TilEAgDLH7Fe62ymApMeQi7b
1ef5gOC2U+C/PxPhj9NabEETVULnfFlVSi1fckAMbjD5+i2YeABUZBy4jhKjbwAAAABJRU5E
rkJggg==</item>
		<item item-id="10">iVBORw0KGgoAAAANSUhEUgAAAC4AAAAqCAYAAADMKGkhAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ASNJREFUWEftl1EOhCAMRN37H3qVjWwAgWnJFGmCv9Z2+qgDfL7Xc3h8gnCPz+FR9G9KtnAi
geuXg9lwBEzBDQiiXQq/XQ7SWI74Fg7XzCBgz7gB1G5Kl8SjHSLxD1eRfjh7Fcp6mfC0S9Tx
ssLfFobq/4mnI6KhrYlFYjTvm6OiSRJ3u7J5y6ZowlmN1pqvTQNNeKugtiFpPE24tCArrvpz
psmRr1vOca/J7rF2ZV+Hwt8iikZKdJGQXqdQsce2fV/TRmwUEo/FLMi3RlFSCwq3ol2jr1kx
0ahoEo7GSihnbjdaiP3dFs4mivJt4ogQ873kWFG62zKu0gLR9HomOYtcrX1keeLpzp3Rt6DE
zOl+VEq7dDMqj7MNc1ln5trEZ9IOtU4rFCZl0SNt/gAAAABJRU5ErkJggg==</item>
		<item item-id="11">iVBORw0KGgoAAAANSUhEUgAAAD8AAAARCAYAAABq+XSZAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ARpJREFUWEftVu0NhCAM9bZlCEdwJXfgL1u4gSdESOXaPj7uEnNIQoxS+nh9bfG1H2MadXjy
o45pVOIh4x/yJAJH+fseEObZD34WH4pBceP3iE/P03KY3Hd6p84oKAVuAUR7tABLgc/PhzAg
t2ggOe4BlA6nZVWuukaArjnnLnD5O8cj1XwtyVp7jgR7oLPcuJLTMOmatTaVLSduCj5SHqWW
VE9IdamftCpfQv6jn/WSR8FBdde6zvWn6OtryqP0rlEe2WqE0M0jKb9tm3hrXe55BF6jcokt
wkPredas6xo++WfcuyxLGXl6vZUoXkJQs9Hqm5YjvRa1XmKM2T1ZP+d5DjMGgvPxN394SCwu
aA/53vS9w/6hlW8R4A3upzcINaNsOQAAAABJRU5ErkJggg==</item>
		<item item-id="12">iVBORw0KGgoAAAANSUhEUgAAAEQAAAAWCAYAAAB5VTpOAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AQRJREFUWEftluEOwyAIhLv3f+itNWuKyIFUabcUk/6oMad+HODrvY4lx0FgA5LjILAkjJpA
AmGOaICsybTVlPJFDUkb7dt7nl5NS6+6NRWNAiLB5nvt/2ieB0oLIAKFgg2BRLnj29Uq+VEg
kua+wWkg1EpR7kCHnA2EOsYCwu897JBGsKP+WKngTRnqEElbOqMUnLKOejfaGTMdgi4u1RfP
3DCQf3DIpUDOFN/IlOEF1qohzXpqY9QStbbmBYLeAd55nuq8kKImwfdRi6pmravqixfw7PXq
c3SmM2YfPEqv633+JDCmQ7QXX1SU7tQ1gTzJHaXj3BmNX9w7gbCoJJAEoifqBxXBY7c8KbEo
AAAAAElFTkSuQmCC</item>
		<item item-id="13">iVBORw0KGgoAAAANSUhEUgAAACoAAAARCAYAAACrfj41AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AJZJREFUSEvVlUsOgDAIROv9D62F2ARpi/RDdEjcaIXHgONx5kgIQaAIkRAgeepwoHlNaVer
K6IRWaeXX595KEoPdbTurcDrfJ6aDC2L9qB2wn4COtOAB/S2TNawnN+i6Mh+e0ElZPXV/2X0
MIq2VH8d/cweWq7gGb0JOrJnBWS2iZ6Pynymj674Y/S7eL/QaEVW88MoegErDYr1FKHoOwAA
AABJRU5ErkJggg==</item>
		<item item-id="14">iVBORw0KGgoAAAANSUhEUgAAADwAAAAWCAYAAACcy/8iAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AP1JREFUWEftV+0OhCAM897/oe+UODMQ1lUyg3Ik/jCMre0+0M93XctMayM801pmIpuqeVrC
axtvvZyeva+z92hhdPwSSyv2FcxZhoWsBCjf7yBdxkAYWMzDE5Zqs7Ks96BAljE67AXhrYxW
PAtHV4a1mlfJlgLWepMVCmHRcweJe5rSzGHknN33ZLhmw2AOJcxOXg/hmohdhNGQYLPG2FvZ
Q35Q2R83j6VYa0/f1+x5z53qvYe90zmrNKRcxBRnYvba6swn4oxD9gpgfEfZltX4esJH78qn
M6PsUzOckWYIywRHQ4v1GWl/+sGIDDaib6qHRyTAYvoTZhV7mv0P9e9bo2eHqkEAAAAASUVO
RK5CYII=</item>
		<item item-id="15">iVBORw0KGgoAAAANSUhEUgAAADcAAAAWCAYAAABkKwTVAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AM1JREFUWEftVtEOgCAIrD/vzy2dbkhqh4oPRpsPbgQcxwmnc5c7dv08uF3PsSuw0JG/APfI
zmsvnKjD7K5ZBB6bxhrJK2MuAUvO+V0DIBITsSnlZuA0GOOtl6RQZCBKRdpRrweFaq4XFNVJ
S08lgLWYPXmpgJMWBUkcseFxVcBJmEMfiyngWr0vZQSxR8H15FUc4q0RgGoIAUYfCDpjv3SH
+hZtKJIqowlo2hm42nxZscGMMGvMtRbZkcpq/ytiTjuZ2f4N3OyKrvK3NXM3Lbbtck5HD4EA
AAAASUVORK5CYII=</item>
		<item item-id="16">iVBORw0KGgoAAAANSUhEUgAAANsAAABFCAYAAADD75NzAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="17">iVBORw0KGgoAAAANSUhEUgAAAN0AAAAqCAYAAAA3U167AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="18" content-encoding="gzip">H4sIAAAAAAAA/1xTzW7TQBDetR3bcfNHSAqpk7iUnyMCiwP0VKoKcSggBW4cKtdxWyNCguNW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</item>
		<item item-id="19">iVBORw0KGgoAAAANSUhEUgAAAxMAAAH9CAYAAABhiyGLAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
R0NJREFUeF7t3YF228iZbeHc93/oTMuhr9k2CsXaLFkg9aVXr5lEACxu7jo/D0DA/++///zn
P/6DAAIIIIAAAggggAACCKwS+CgT/oMAAggggAACCCCAAAIIrBL4z+oOtkcAAQQQQAABBBBA
AAEEfnzDCQYEEEAAAQQQQAABBBBAoBBQJgo1+yCAAAIIIIAAAggggIArExxAAAEEEEAAAQQQ
QACBRsCVicbNXggggAACCCCAAAIIfHsCysS3VwAABBBAAAEEEEAAAQQaAWWicbMXAggggAAC
CCCAAALfnoAy8e0VAAABBBBAAAEEEEAAgUZAmWjc7IUAAggggAACCCCAwLcncIky8c/f2v3H
G/Hxv/3899u/SwAggAACCCCAAAIIIHBBAl9eJo4Kw+/l4qhsXJClXwkBBBBAAAEEEEAAgW9F
4MvLxAftWVmY/fxbvWNeLAIIIIAAAggggAACFyHwcmXi/utP/v9fXwXDAgsOcIADHOAABzjw
vRy4Qp94yTJxBXBX+x3+WTpX+5Uu8/tgM34rsMGmLFTe8IY3hQBvCjV5c0ztg8tVvrlziU+g
ZzDcP/HY0rPYhPRjpvx7K97whjeFAG8KNXnDG94UAsrEQ9RGZWL0lKeHDvrNNhLSQroozxve
8KYQ4E2hJm94w5tCQJl4iNqsNNz//CqXdB56YX9xIyEtpItuvOENbwoB3hRq8oY3vCkElIkp
taO/T+Lo5qGfB1ImxlJNYX/TDQwwA6yozxve8KYQ4E2hJm94s+qNeyZWid1tr0woE6v6CGkh
verMx/a84Q1vCgHeFGryhjer3igTq8SUiSkxQSSIppIcbMAb3vCmEOBNoSZveMObQmB8Evkq
J9gv8TSnFbRXAbfyO/+NbYW0kC6e8YY3vCkEeFOoyRve8KYQUCb2UbsdSZkYS7Ud9psc0AAz
wIrKvOENbwoB3hRq8oY3q974mtMqsbvtlQllYlUfIS2kV5352J43vOFNIcCbQk3e8GbVG2Vi
lZgyMSUmiATRVJKDDXjDG94UArwp1OQNb3hTCIxPIl/lBLt7Jva9r196JCEtpIuAvOENbwoB
3hRq8oY3vCkElIl91G5HukoL2/7CnjygkBbSRSHe8IY3hQBvCjV5wxveFALKxD5qysQpSyEt
pMti4w1veFMI8KZQkze84U0hoEzso6ZMKBPRJgPMACvq8IY3vCkEeFOoyRverHrjBuxVYnfb
+5rTuKE+gfWtdxXSQroIzhve8KYQ4E2hJm94s+qNMrFKTJmYEhNEgmgqycEGvOENbwoB3hRq
8oY3vCkExieRr3KC3dOc9r2vX3okIS2ki4C84Q1vCgHeFGryhje8KQSUiX3Ubke6Sgvb/sKe
PKCQFtJFId7whjeFAG8KNXnDG94UAsrEPmrKxClLIS2ky2LjDW94UwjwplCTN7zhTSGgTOyj
pkwoE9EmA8wAK+rwhje8KQR4U6jJG96seuMG7FVid9v7mtO4oT6B9a13FdJCugjOG97wphDg
TaEmb3iz6o0ysUpMmZgSE0SCaCrJwQa84Q1vCgHeFGryhje8KQTGJ5GvcoLd05z2va9feiQh
LaSLgLzhDW8KAd4UavKGN7wpBJSJfdRuR7pKC9v+wp48oJAW0kUh3vCGN4UAbwo1ecMb3hQC
ysQ+asrEKUshLaTLYuMNb3hTCPCmUJM3vOFNIaBM7KOmTCgT0SYDzAAr6vCGN7wpBHhTqMkb
3qx64wbsVWJ32/ua07ihPoH1rXcV0kK6CM4b3vCmEOBNoSZveLPqjTKxSkyZmBITRIJoKsnB
BrzhDW8KAd4UavKGN7wpBMYnka9ygt3TnPa9r196JCEtpIuAvOENbwoB3hRq8oY3vCkElIl9
1G5HukoL2/7CnjygkBbSRSHe8IY3hQBvCjV5wxveFALKxD5qysQpSyEtpMti4w1veFMI8KZQ
kze84U0hoEzso6ZMKBPRJgPMACvq8IY3vCkEeFOoyRverHrjBuxVYnfb+5rTuKE+gfWtdxXS
QroIzhve8KYQ4E2hJm94s+qNMrFKTJmYEhNEgmgqycEGvOENbwoB3hRq8oY3vCkExieRr3KC
3dOc9r2vX3okIS2ki4C84Q1vCgHeFGryhje8KQSUiX3Ubke6Sgvb/sKePKCQFtJFId7whjeF
AG8KNXnDG94UAsrEPmrKxClLIS2ky2LjDW94UwjwplCTN7zhTSGgTOyjpkwoE9EmA8wAK+rw
hje8KQR4U6jJG96seuMG7FVid9v7mtO4oT6B9a13FdJCugjOG97wphDgTaEmb3iz6o0ysUpM
mZgSE0SCaCrJwQa84Q1vCgHeFGryhje8KQTGJ5GvcoLd05z2va9feiQhLaSLgLzhDW8KAd4U
avKGN7wpBJSJfdRuR7pKC9v+wp48oJAW0kUh3vCGN4UAbwo1ecMb3hQCysQ+asrEKUshLaTL
YuMNb3hTCPCmUJM3vOFNIaBM7KOmTCgT0SYDzAAr6vCGN7wpBHhTqMkb3qx64wbsVWJ32/ua
07ihPoH1rXcV0kK6CM4b3vCmEOBNoSZveLPqjTKxSkyZmBITRIJoKsnBBrzhDW8KAd4UavKG
N7wpBMYnka9ygt3TnPa9r196JCEtpIuAvOENbwoB3hRq8oY3vCkElIl91G5HukoL2/7Cnjyg
kBbSRSHe8IY3hQBvCjV5wxveFALKxD5qysQpSyEtpMti4w1veFMI8KZQkze84U0hoEzso6ZM
KBPRJgPMACvq8IY3vCkEeFOoyRverHrjBuxVYnfb+5rTuKE+gfWtdxXSQroIzhve8KYQ4E2h
Jm94s+qNMrFKTJmYEhNEgmgqycEGvOENbwoB3hRq8oY3vCkExieRr3KC3dOc9r2vX3okIS2k
i4C84Q1vCgHeFGryhje8KQSUiX3Ubke6Sgvb/sKePKCQFtJFId7whjeFAG8KNXnDG94UAsrE
PmrKxClLIS2ky2LjDW94UwjwplCTN7zhTSGgTOyjpkwoE9EmA8wAK+rwhje8KQR4U6jJG96s
euMG7FVid9v7mtO4oT6B9a13FdJCugjOG97wphDgTaEmb3iz6o0ysUpMmZgSE0SCaCrJwQa8
4Q1vCgHeFGryhje8KQTGJ5GvcoLd05z2va9feiQhLaSLgLzhDW8KAd4UavKGN7wpBJSJfdRu
R7pKC9v+wp48oJAW0kUh3vCGN4UAbwo1ecMb3hQCysQ+asrEKUshLaTLYuMNb3hTCPCmUJM3
vOFNIaBM7KOmTCgT0SYDzAAr6vCGN7wpBHhTqMkb3qx64wbsVWJ32/ua07ihPoH1rXcV0kK6
CM4b3vCmEOBNoSZveLPqjTKxSkyZmBITRIJoKsnBBrzhDW8KAd4UavKGN7wpBMYnka9ygt3T
nPa9r196JCEtpIuAvOENbwoB3hRq8oY3vCkElIl91G5HukoL2/7CnjygkBbSRSHe8IY3hQBv
CjV5wxveFALKxD5qysQpSyEtpMti4w1veFMI8KZQkze84U0hoEzso6ZMKBPRJgPMACvq8IY3
vCkEeFOoyRverHrjBuxVYnfb+5rTuKE+gfWtdxXSQroIzhve8KYQ4E2hJm94s+qNMrFKTJmY
EhNEgmgqycEGvOENbwoB3hRq8oY3vCkExieRr3KC/RJPczqC8fG//fz3HuNVwO3TYc+RhLSQ
Libxhje8KQR4U6jJG97wphBQJqbUHikM9wVCmRhLNYX9TTcwwAywoj5veMObQoA3hZq84c2q
N77m9Bux3wvC2X9XJpSJsuBW9/ku2xtgBlhxnTe84U0hwJtCTd64MvGQNytl4p/vPv3Xvxhw
gAN/w4EfZ378g8Aigb/hpj9DBnKAA1c5wX7JeyZcmXiog/1rI83dGZ91a/7p5f/84z8DAh8n
LvznkABvJnnDHd4sZoc1ZYYvKvO/UxwXyZpLTMuVKxNXAbf6pn/29oJIEBXHeHNC7SIhXd7X
z96HN8pEcYw35hRvCgFfc3qImjLxEKbTjYS0kC4W8UaZ4E0hoEwUavLGnOJNIaBMPERNmXgI
kzIRMRlgBlhSx5WJITZrSpkoa4o3spg3hYAyMaV29vdJPPLY2Okf8E02ENJCuqjOG1cmeFMI
KBOFmrwxp3hTCCgT+6jdjuSeibFU22G/yQENMAMsqezKhCsTQZwfecOdQ3KyWBaHJeVBIQNo
bsAuNikTp9SEtJAuy4o3rkzwphBwZaJQkzfmFG8KAVcm9lFTJpSJaJMBZoAldZxddmUiiOPK
hLwJ2jj7fnZexyPMh1f6rvJtnUs8GnZl4V0F3Mrv/De29YHZACue8caVCd4UAq5MFGryxpzi
TSHgysQ+aq5MuDIRbTLADLCkjisTrkwEcVyZkDdBG1cmXJlY1sY9E8vIfu3gysS4oT6B9a13
VSYM9yS4MqFMBHGUCXkTtFEmlIllbZSJZWTKxAyZD8wG2MyRo5/z5myCvdy3QIsCaR/eTPJG
ET0ExBtzqgQOb8Ynka9ygv3lpuVVwJUF8Zn7WGxCuvjFG2WCN4WAMlGoyRtzijeFgDKxj9rt
SMrEWKrtsN/kgAaYAZZUdnZ5iM2aUibKmuKNLOZNIaBM7KOmTJyyFNJCuiw23rgywZtCQJko
1OSNOcWbQkCZ2EdNmVAmok0GmAGW1HFlwpWJII4bsOVN0MYN2Gfndfw9E4d03IBdVpoyoUxE
b5QJwz2po0woE0EcZULeBG2UCWViWRtlYhnZrx3cMzG+3PUE1rfeVZkw3JPgyoQyEcRRJuRN
0EaZUCaWtVEmlpEpEzNkPjAbYDNHjn7Om7MJ9nIPuysKpH14M8kbRfQQEG/MqRI4vBmfRL7K
CfaXm5ZXAVcWxGfuY7EJ6eIXb5QJ3hQCykShJm/MKd4UAsrEPmq3IykTY6m2w36TAxpgBlhS
2dnlITZrSpkoa4o3spg3hYAysY+aMnHKUkgL6bLYeOPKBG8KAWWiUJM35hRvCgFlYh81ZUKZ
iDYZYAZYUseVCVcmgjhuwJY3QRs3YJ+d1/Fo2EM6bsAuK02ZUCaiN8qE4Z7UUSaUiSCOMiFv
gjbKhDKxrI0ysYzs1w7umRhf7noC61vvqkwY7klwZUKZCOIoE/ImaKNMKBPL2igTy8iUiRky
H5gNsJkjRz/nzdkEe7mH3RUF0j68meSNInoIiDfmVAkc3oxPIl/lBPvLTcurgCsL4jP3sdiE
dPGLN8oEbwoBZaJQkzfmFG8KAWViH7XbkZSJsVTbYb/JAQ0wAyyp7OzyEJs1pUyUNcUbWcyb
QkCZ2EdNmThlKaSFdFlsvHFlgjeFgDJRqMkbc4o3hYAysY+aMqFMRJsMMAMsqePKhCsTQRw3
YMuboI0bsM/O63g07CEdN2CXlaZMKBPRG2XCcE/qKBPKRBBHmZA3QRtlQplY1kaZWEb2awf3
TIwvdz2B9a13VSYM9yS4MqFMBHGUCXkTtFEmlIllbZSJZWTKxAyZD8wG2MyRo5/z5myCvdzD
7ooCaR/eTPJGET0ExBtzqgQOb8Ynka9ygv3lpuVVwJUF8Zn7WGxCuvjFG2WCN4WAMlGoyRtz
ijeFgDKxj9rtSMrEWKrtsN/kgAaYAZZUdnZ5iM2aUibKmuKNLOZNIaBM7KOmTJyyFNJCuiw2
3rgywZtCQJko1OSNOcWbQkCZ2EdNmVAmok0GmAGW1HFlwpWJII4bsOVN0MYN2GfndTwa9pCO
G7DLSlMmlInojTJhuCd1lAllIoijTMiboI0yoUwsa6NMLCP7tYN7JsaXu57A+ta7KhOGexJc
mVAmgjjKhLwJ2igTysSyNsrEMjJlYobMB2YDbObI0c95czbBXu5hd0WBtA9vJnmjiB4C4o05
VQKHN+OTyFc5wf5y0/Iq4MqC+Mx9LDYhXfzijTLBm0JAmSjU5I05xZtCQJnYR+12JGViLNV2
2G9yQAPMAEsqO7s8xGZNKRNlTfFGFvOmEFAm9lFTJk5ZCmkhXRYbb1yZ4E0hoEwUavLGnOJN
IaBM7KOmTCgT0SYDzABL6rgy4cpEEMcN2PImaOMG7LPzOh4Ne0jHDdhlpSkTykT0Rpkw3JM6
yoQyEcRRJuRN0EaZUCaWtVEmlpH92sE9E+PLXU9gfetdlQnDPQmuTCgTQRxlQt4EbZQJZWJZ
G2ViGZkyMUPmA7MBNnPk6Oe8OZtgL/ewu6JA2oc3k7xRRA8B8cacKoHDm/FJ5KucYH+5aXkV
cGVBfOY+FpuQLn7xRpngTSGgTBRq8sac4k0hoEzso3Y7kjIxlmo77Dc5oAFmgCWVnV0eYrOm
lImypngji3lTCCgT+6gpE6cshbSQLouNN65M8KYQUCYKNXljTvGmEFAm9lFTJpSJaJMBZoAl
dVyZcGUiiOMGbHkTtHED9tl5HY+GPaTjBuyy0pQJZSJ6o0wY7kkdZUKZCOIoE/ImaKNMKBPL
2igTy8h+7eCeifHlriewvvWuyoThngRXJpSJII4yIW+CNsqEMrGsjTKxjEyZmCHzgdkAmzly
9HPenE2wl3vYXVEg7cObSd4oooeAeGNOlcDhzfgk8lVOsL/ctLwKuLIgPnMfi01IF794o0zw
phBQJgo1eWNO8aYQUCb2UbsdSZkYS7Ud9psc0AAzwJLKzi4PsVlTykRZU7yRxbwpBJSJfdSU
iVOWQlpIl8XGG1cmeFMIKBOFmrwxp3hTCCgT+6gpE8pEtMkAM8CSOq5MuDIRxHEDtrwJ2rgB
++y8jkfDHtJxA3ZZacqEMhG9USYM96SOMqFMBHGUCXkTtFEmlIllbZSJZWS/dnDPxPhy1xNY
33pXZcJwT4IrE8pEEEeZkDdBG2VCmVjWRplYRqZMzJD5wGyAzRw5+jlvzibYyz3sriiQ9uHN
JG8U0UNAvDGnSuDwZnwS+Son2F9uWl4FXFkQn7mPxSaki1+8USZ4UwgoE4WavDGneFMIKBP7
qN2OpEyMpdoO+00OaIAZYEllZ5eH2KwpZaKsKd7IYt4UAsrEPmrKxClLIS2ky2LjjSsTvCkE
lIlCTd6YU7wpBJSJfdSUCWUi2mSAGWBJHVcmXJkI4rgBW94EbdyAfXZex6NhD+m4AbusNGVC
mYjeKBOGe1JHmVAmgjjKhLwJ2igTysSyNsrEMrJfO7hnYny56wmsb72rMmG4J8GVCWUiiKNM
yJugjTKhTCxro0wsI1MmZsh8YDbAZo4c/Zw3ZxPs5R52VxRI+/BmkjeK6CEg3phTJXB4Mz6J
fJUT7C83La8CriyIz9zHYhPSxS/eKBO8KQSUiUJN3phTvCkElIl91G5HUibGUm2H/SYHNMAM
sKSys8tDbNaUMlHWFG9kMW8KAWViHzVl4pSlkBbSZbHxxpUJ3hQCykShJm/MKd4UAspEpvZx
BeLnv/cHcWXClYlVqQwwA2zVmR/buzLhykQQxw3Y8iZo4wbss/M6Hg17SMcN2JOV9nthuP/v
yoQysRrUyoThvuqMMnFOzJpyZaKsKd7IYt4UAq5MJGrKxDo2IS2k16355+S7Mz4n4rzc8ymK
Amkf3igTRRzemFO8KQSUiUztZ6E4KhY/Lu34BwEEEPhEAh9fc/IPAoUAdwo1+yCAwDKBi3wd
99Kn3o6+0uRrTr7mtNpQnQ1zNmzVGV9z8jWn5Mw/O7lnQt4Ud8wp3qx6456JB4idXZl4YPdv
t4kgEkRFet6cULvIGZ/yvn72PrzxNafiGG/MKd4UAr7mlKi5Z2Idm5AW0uvWuGfilJkyMcQj
b5QJeVMImFOFmrxRJoo3Px4Je/8fT3OaY7TYhPTckj+34I0rE7wpBJSJQk3emFO8KQSUiUzN
3zOxhk5IC+k1Y/63NW+UCd4UAspEoSZvzCneFALKxD5qtyO5AXss1XbYb3JAA8wASyr7mtMQ
mzWlTJQ1xRtZzJtCQJnYR02ZOGUppIV0WWy8cWWCN4WAMlGoyRtzijeFgDKxj5oyoUxEmwww
Ayyp48qEKxNBHI+GlTdBG185PTuv4y9XPaTj0bBlpSkTykT0Rpkw3JM6yoQyEcRRJuRN0EaZ
UCaWtVEmlpH92sE9E+PLXU9gfetdlQnDPQmuTCgTQRxlQt4EbZQJZWJZG2ViGZkyMUPmA7MB
NnPk6Oe8OZtg/35EdeH7rvvwZpI3iughIN6YUyUTeTM+iXyVE+wvNy2vAq4siM/cx2IT0sUv
3igTvCkElIlCTd6YU7wpBJSJfdRuR1ImxlJth/0mBzTADLCksrPLQ2zWlDJR1hRvZDFvCgFl
Yh81ZeKUpZAW0mWx8caVCd4UAspEoSZvzCneFALKxD5qyoQyEW0ywAywpI4rE65MBHHcgC1v
gjZuwD47r+PRsId03IBdVpoyoUxEb5QJwz2po0woE0EcZULeBG2UCWViWRtlYhnZrx3cMzG+
3PUE1rfeVZkw3JPgyoQyEcRRJuRN0EaZUCaWtVEmlpEpEzNkPjAbYDNHjn7Om7MJ9nIPuysK
pH14M8kbRfQQEG/MqRI4vBmfRL7KCfaXm5ZXAVcWxGfuY7EJ6eIXb5QJ3hQCykShJm/MKd4U
AsrEPmq3IykTY6m2w36TAxpgBlhS2dnlITZrSpkoa4o3spg3hYAysY+aMnHKUkgL6bLYeOPK
BG8KAWWiUJM35hRvCgFlYh81ZUKZiDYZYAZYUseVCVcmgjhuwJY3QRs3YJ+d1/Fo2EM6bsAu
K02ZUCaiN8qE4Z7UUSaUiSCOMiFvgjbKhDKxrI0ysYzs1w7umRhf7noC61vvqkwY7klwZUKZ
COIoE/ImaKNMKBPL2igTy8iUiRkyH5gNsJkjRz/nzdkEe7mH3RUF0j68meSNInoIiDfmVAkc
3oxPIl/lBPvLTcurgCsL4jP3sdiEdPGLN8oEbwoBZaJQkzfmFG8KAWViH7XbkZSJsVTbYb/J
AQ0wAyyp7OzyEJs1pUyUNcUbWcybQkCZ2EdNmThlKaSFdFlsvHFlgjeFgDJRqMkbc4o3hYAy
sY+aMqFMRJsMMAMsqePKhCsTQRw3YMuboI0bsM/O63g07CEdN2CXlaZMKBPRG2XCcE/qKBPK
RBBHmZA3QRtlQplY1kaZWEb2awf3TIwvdz2B9a13VSYM9yS4MqFMBHGUCXkTtFEmlIllbZSJ
ZWTKxAyZD8wG2MyRo5/z5myCvdzD7ooCaR/eTPJGET0ExBtzqgQOb8Ynka9ygv3lpuVVwJUF
8Zn7WGxCuvjFG2WCN4WAMlGoyRtzijeFgDKxj9rtSMrEWKrtsN/kgAaYAZZUdnZ5iM2aUibK
muKNLOZNIaBM7KOmTJyyFNJCuiw23rgywZtCQJko1OSNOcWbQkCZ2EdNmVAmok0GmAGW1HFl
wpWJII4bsOVN0MYN2GfndTwa9pCOG7DLSlMmlInojTJhuCd1lAllIoijTMiboI0yoUwsa6NM
LCP7tYN7JsaXu57A+ta7KhOGexJcmVAmgjjKhLwJ2igTysSyNsrEMjJlYobMB2YDbObI0c95
czbBXu5hd0WBtA9vJnmjiB4C4o05VQKHN+OTyFc5wf5y0/Iq4MqC+Mx9LDYhXfzijTLBm0JA
mSjU5I05xZtCQJnYR+12JGViLNV22G9yQAPMAEsqO7s8xGZNKRNlTfFGFvOmEFAm9lFTJk5Z
CmkhXRYbb1yZ4E0hoEwUavLGnOJNIaBM7KOmTCgT0SYDzABL6rgy4cpEEMcN2PImaOMG7LPz
Oh4Ne0jHDdhlpSkTykT0Rpkw3JM6yoQyEcRRJuRN0EaZUCaWtVEmlpH92sE9E+PLXU9gfetd
lQnDPQmuTCgTQRxlQt4EbZQJZWJZG2ViGZkyMUPmA7MBNnPk6Oe8OZtgL/ewu6JA2oc3k7xR
RA8B8cacKoHDm/FJ5KucYH+5aXkVcGVBfOY+FpuQLn7xRpngTSGgTBRq8sac4k0hoEzso3Y7
kjIxlmo77Dc5oAFmgCWVnV0eYrOmlImypngji3lTCCgT+6gpE6cshbSQLouNN65M8KYQUCYK
NXljTvGmEFAm9lFTJpSJaJMBZoAldVyZcGUiiOMGbHkTtHED9tl5HY+GPaTjBuyy0pQJZSJ6
o0wY7kkdZUKZCOIoE/ImaKNMKBPL2igTy8h+7eCeifHlriewvvWuyoThngRXJpSJII4yIW+C
NsqEMrGsjTKxjEyZmCHzgdkAmzly9HPenE2wl3vYXVEg7cObSd4oooeAeGNOlcDhzfgk8lVO
sL/ctLwKuLIgPnMfi01IF794o0zwphBQJgo1eWNO8aYQUCb2UbsdSZkYS7Ud9psc0AAzwJLK
zi4PsVlTykRZU7yRxbwpBJSJfdSUiVOWQlpIl8XGG1cmeFMIKBOFmrwxp3hTCCgT+6gpE8pE
tMkAM8CSOq5MuDIRxHEDtrwJ2rgB++y8jkfDHtJxA3ZZacqEMhG9USYM96SOMqFMBHGUCXkT
tFEmlIllbZSJZWS/dnDPxPhy1xNY33pXZcJwT4IrE8pEEEeZkDdBG2VCmVjWRplYRqZMzJD5
wGyAzRw5+jlvzibYyz3sriiQ9uHNJG8U0UNAvDGnSuDwZnwS+Son2F9uWl4FXFkQn7mPxSak
i1+8USZ4UwgoE4WavDGneFMIKBP7qN2OpEyMpdoO+00OaIAZYEllZ5eH2KwpZaKsKd7IYt4U
AsrEPmrKxClLIS2ky2LjjSsTvCkElIlCTd6YU7wpBJSJfdSUCWUi2mSAGWBJHVcmXJkI4rgB
W94EbdyAfXZex6NhD+m4AbusNGVCmYjeKBOGe1JHmVAmgjjKhLwJ2igTysSyNsrEMrJfO7hn
Yny56wmsb72rMmG4J8GVCWUiiKNMyJugjTKhTCxro0wsI1MmZsh8YDbAZo4c/Zw3ZxPs5R52
VxRI+/BmkjeK6CEg3phTJXB4Mz6JfJUT7Nun5dkL2/GidxyjyHz1fSw2IV0c5Y0ywZtCQJko
1OSNOcWbQuCblYmjD/q//2/PloFn99/3Nl7rSEJaSBcjeaNM8KYQUCYKNXljTvGmEFAm/qtM
7BPn7EhCWkgX03ijTPCmEFAmCjV5Y07xphB40TLxUQB+/vvzJfz+339/aaOrEkf7rVxdOPo9
9r0V73MkIS2ki828USZ4UwgoE4WavDGneFMIvGiZ+Pi1V68ojArCI199GqF9Zt99b9drHElI
C+liKm+UCd4UAspEoSZvzCneFAIvXCbuC8UjVxJ2l4mV4+17a173SEJaSBd7eaNM8KYQUCYK
NXljTvGmEFAm/rjCcXTV43dMP4vE6CtSP56t6x8EEEDgEwn8E16feHTHfmcC3Hnnd9drQ+BC
BC7yGOrpo2EfuSpxVhDKV5XO7pN49PfZ1/1e40jO+DjjU0zljSsTvCkEXJko1OSNOcWbQuDF
r0wclYT7D/qP3Bz9yDajKxM///f7AqFMjKXap+h7HckAM8CS0Rc545N+90/eyZpSJopivJHF
vCkE3qBMHL2E+68h3f/8kQ/6ZRtlYi6fkBbSc0v+3II3rkzwphBQJgo1eWNO8aYQeNMycXTF
4ugqwuyKwwjp2ZOkHikj+96q1zmSkBbSxVbeKBO8KQSUiUJN3phTvCkEvmGZ2IXp6O+6OCsx
u/7cVz2OkBbSxV3eKBO8KQSUiUJN3phTvCkE3rRMjL7mtA/RyYLzPeZDOEJaSJf1xxtlgjeF
gDJRqMkbc4o3hcAblomzG7D3IVImVlkKaSG96szH9rxRJnhTCCgThZq8Mad4Uwi8YZnYh6Ed
yT0TY6ka0fffywAzwJLlroIOsVlTykRZU7yRxbwpBJSJfdRuR1ImlIlVqQwwA2zVmR/bKxPK
RBDnR95w55CcLJbFYUm5gj6A9uOvzrtI1kz/0rryxn/mPlcB95mvsRxbSAtp3hQCJ/tcJKQ3
v6oth5M3rkwUkXhjTvGmEHBlYh81VyZOWQppIV0WG2+UCd4UAspEoSZvzCneFALKxD5qyoQy
EW0ywAywpI4rE0Ns1pQyUdYUb2QxbwoBZWIfNWVCmYg2GWAGWFJHmVAmgjjumZA3QRv3BZxd
JP64D8l//iDgnoknpHDPxLihPoH1rXdVJgz3JLgyoUwEcZQJeRO0USaUiWVtrl0mPgboZ/+7
jOzXDsqEMrGqjzJhuK8682N7ZUKZCOIoE/ImaKNMKBPL2ly7TCy/nL+7gzKhTKwap0wY7qvO
KBPnxKypyZpSRA8B8UYWlyzmzfhz31U+E7/cF9GuAq4siM/cx2IT0sUv3pydDnu5eCwKpH14
o0wUcXhjTvGmEFAm9lG7HUmZcGViVSoDzABbdcaVCVcmkjP/7ORrTvKmuGNO8WbVG19zWiV2
t70yoUys6iOkhfSqM8qEMpGcUSZOscliWVzWFW9cmSjenIeR76Ie8rHYhHRZbLw5oSZrhnB4
M8kb7phTi4FsTZnhi8r8uAp6lRPsL/el4KuAW33TP3t7QSSIimO8USZ4UwgoE4WavDGneFMI
uDKxj9rtSMrEWKrtsN/kgAaYAZZUdnbZlYkgjnsm5E3QxqNhz87r+Evrhlf6rvKZ2JWJsuov
uI8PzAZY0ZI3rkzwphBwZaJQkzfmFG8KAVcm9lFzZeKUpZAW0mWx8UaZ4E0hoEwUavLGnOJN
IaBM7KOmTCgT0SYDzABL6via0xCbNaVMlDXFG1nMm0JAmdhHTZlQJqJNBpgBltRRJpSJII57
JuRN0MY9E2cXid0zcUjH05zKSlMmlInojTJhuCd1lAllIoijTMiboI0yoUwsa6NMLCP7tcNV
7lx/4iV8yq4+MBtgRSzenE2wl3s+RVEg7cObSd4oosMzqUm4b7CTNWWGr2quTKwSu9temTiG
J4gEUVlWvFEmeFMIKBOFmrwxp3hTCIw/913lM/HLnXq7Crh9Ouw5kpAW0sUk3igTvCkElIlC
Td6YU7wpBJSJfdRuR1ImXJlYlcoAM8BWnfmxva+qDLFZU8pEWVO8kcW8KQSUiX3UlIlTlkJa
SJfFxhtXJnhTCCgThZq8Mad4UwgoE/uoKRPKRLTJADPAkjquTLgyEcTxNCd5E7TxNKez8zoe
DXtIxw3YZaUpE8pE9EaZMNyTOsqEMhHEUSbkTdBGmVAmlrVRJpaR/drBPRPjy11PYH3rXZUJ
wz0JrkwoE0EcZULeBG2UCWViWRtlYhmZMjFD5gOzATZz5OjnvDmbYC/3sLuiQNqHN5O8UUQP
AfHGnCqBw5vxSeSrnGB/uWl5FXBlQXzmPhabkC5+8UaZ4E0hoEwUavLGnOJNIaBM7KN2O5Iy
MZZqO+w3OaABZoAVlX1dhTfFG48U5k3xxpzizao3vua0Suxue2VCmVjVR0gL6VVnPrZXJnhT
vFEmeFO8Mad4s+qNMrFKTJmYEhNEgmgqycEGvJl447vvh4B4c7LaODOEwxtzypwqBMYnka9y
gt09E/ve1y89kpAW0kVA3igTvCkElIlCTd6YU7wpBJSJfdRuR7pKC9v+wp48oJAW0kUh3igT
vCkElIlCTd6YU7wpBJSJfdSUiVOWQlpIl8XGG2WCN4WAMlGoyRtzijeFgDKxj5oyoUxEmwww
A6yo4wZs3hRv3IDNm+KNOcWbVW/cgL1K7G57X3MaN9QnsL71rkJaSBfBlQneFG+UCd4Ub8wp
3qx6o0ysElMmpsQEkSCaSnKwAW8m3ngyzyEg3pysNs4M4fDGnDKnCoHxSeSrnGD3NKd97+uX
HklIC+kiIG+UCd4UAspEoSZvzCneFALKxD5qtyNdpYVtf2FPHlBIC+miEG+UCd4UAspEoSZv
zCneFALKxD5qysQpSyEtpMti440ywZtCQJko1OSNOcWbQkCZ2EdNmVAmok0GmAFW1HEDNm+K
N27A5k3xxpzizao3bsBeJXa3va85jRvqE1jfelchLaSL4MoEb4o3ygRvijfmFG9WvVEmVokp
E1NigkgQTSU52IA3E288mecQEG9OVhtnhnB4Y06ZU4XA+CTyVU6we5rTvvf1S48kpIV0EZA3
ygRvCgFlolCTN+YUbwoBZWIftduRrtLCtr+wJw8opIV0UYg3ygRvCgFlolCTN+YUbwoBZWIf
NWXilKWQFtJlsfFGmeBNIaBMFGryxpziTSGgTOyjpkwoE9EmA8wAK+q4AZs3xRs3YPOmeGNO
8WbVGzdgrxK7297XnMYN9Qmsb72rkBbSRXBlgjfFG2WCN8Ubc4o3q94oE6vElIkpMUEkiKaS
HGzAm4k3nsxzCIg3J6uNM0M4vDGnzKlCYHwS+Son2D3Nad/7+qVHEtJCugjIG2WCN4WAMlGo
yRtzijeFgDKxj9rtSFdpYdtf2JMHFNJCuijEG2WCN4WAMlGoyRtzijeFgDKxj5oyccpSSAvp
sth4o0zwphBQJgo1eWNO8aYQUCb2UVMmlIlokwFmgBV13IDNm+KNG7B5U7wxp3iz6o0bsFeJ
3W3va07jhvoE1rfeVUgL6SK4MsGb4o0ywZvijTnFm1VvlIlVYsrElJggEkRTSQ424M3EG0/m
OQTEm5PVxpkhHN6YU+ZUITA+iXyVE+ye5rTvff3SIwlpIV0E5I0ywZtCQJko1OSNOcWbQkCZ
2EftdqSrtLDtL+zJAwppIV0U4o0ywZtCQJko1OSNOcWbQkCZ2EdNmThlKaSFdFlsvFEmeFMI
KBOFmrwxp3hTCCgT+6gpE8pEtMkAM8CKOm7A5k3xxg3YvCnemFO8WfXGDdirxO629zWncUN9
Autb7yqkhXQRXJngTfFGmeBN8cac4s2qN8rEKjFlYkpMEAmiqSQHG/Bm4o0n8xwC4s3JauPM
EA5vzClzqhAYn0S+ygl2T3Pa975+6ZGEtJAuAvJGmeBNIaBMFGryxpziTSGgTGyhdt+8rtLC
trywjQcR0kK66MQbZYI3hYAyUajJG3OKN4WAMvE0tY/yoEzMMQppIT235M8teKNM8KYQUCYK
NXljTvGmEFAmnqL2s0QoE3OMQlpIzy1RJlYYuQHbmlrx5f9v656JITZzypoqa4o3ykTx5i6T
/3dLx+9l4scd7P5BAAEEPpnAx5N5/IPACgHOrNCyLQIIPEXgIicvLnsD9uhqhHsmxg31qeb2
xjs7q+FsWNHblQneFG88GpY3xRtzijer3vwoIcrEiTi/wfE1p7ligkgQzS3xNacVRsqENbXi
i685zWmZU9bU3BJz6lFGysSE1M+brn//v79/5elR4N9hOyEtpIvnvJl4c5GzPuW9/cx9eHNC
lzNDOLwxp0ou8eaYmjKxaJMrE3NgFpuQnlvijM8KI1cmrKkVX1yZmNMyp6ypuSXm1KOMlIlH
Sd22UybmwIS0kJ5bIqRXGCkT1tSKL8rEnJY5ZU3NLTGnHmWkTDxK6mC7q9xs8sRL+JRdhbSQ
LmLxZuKNr6wcAuLNyWrjzBAOb8wpc6oQON5HmXiCpTIxluoJrG+9qwFmgBXBXZngTfHG05x4
U7wxp3iz6o0ysUrsbntlQplY1UdIC+lVZz62VyZ4U7xRJnhTvDGneLPqjTKxSkyZmBITRIJo
KsnBBryZeOMrK4eAeHOy2jgzhMMbc8qcKgTGJ5GvcoL9sn9p3Qj3VcDt02HPkYS0kC4m8UaZ
4E0hoEwUavLGnOJNIaBM7KN2O5IyMZZqO+w3OaABZoAVlX3NiTfFG19z4k3xxpzizao3vua0
Suxue2VCmVjVR0gL6VVnPrZXJnhTvFEmeFO8Mad4s+qNMrFKTJmYEhNEgmgqycEGvJl44/vv
h4B4c7LaODOEwxtzypwqBMYnka9ygt09E/ve1y89kpAW0kVA3igTvCkElIlCTd6YU7wpBJSJ
fdRuR7pKC9v+wp48oJAW0kUh3igTvCkElIlCTd6YU7wpBJSJfdSUiVOWQlpIl8XGG2WCN4WA
MlGoyRtzijeFgDKxj5oyoUxEmwwwA6yo4wZs3hRv3IDNm+KNOcWbVW/cgL1K7G57X3MaN9Qn
sL71rkJaSBfBlQneFG+UCd4Ub8wp3qx6o0ysElMmpsQEkSCaSnKwAW8m3ngyzyEg3pysNs4M
4fDGnDKnCoHxSeSrnGD3NKd97+uXHklIC+kiIG+UCd4UAspEoSZvzCneFALKxD5qtyNdpYVt
f2FPHlBIC+miEG+UCd4UAspEoSZvzCneFALKxD5qysQpSyEtpMti440ywZtCQJko1OSNOcWb
QkCZ2EdNmVAmok0GmAFW1HEDNm+KN27A5k3xxpzizao3bsBeJXa3va85jRvqE1jfelchLaSL
4MoEb4o3ygRvijfmFG9WvVEmVokpE1NigkgQTSU52IA3E288mecQEG9OVhtnhnB4Y06ZU4XA
+CTyVU6we5rTvvf1S48kpIV0EZA3ygRvCgFlolCTN+YUbwoBZWIftduRrtLCtr+wJw8opIV0
UYg3ygRvCgFlolCTN+YUbwoBZWIfNWXilKWQFtJlsfFGmeBNIaBMFGryxpziTSGgTOyjpkwo
E9EmA8wAK+q4AZs3xRs3YPOmeGNO8WbVGzdgrxK7297XnMYN9Qmsb72rkBbSRXBlgjfFG2WC
N8Ubc4o3q94oE6vElIkpMUEkiKaSHGzAm4k3nsxzCIg3J6uNM0M4vDGnzKlCYHwS+Son2D3N
ad/7+qVHEtJCugjIG2WCN4WAMlGoyRtzijeFgDKxj9rtSFdpYdtf2JMHFNJCuijEG2WCN4WA
MlGoyRtzijeFgDKxj5oyccpSSAvpsth4o0zwphBQJgo1eWNO8aYQUCb2UVMmlIlokwFmgBV1
3IDNm+KNG7B5U7wxp3iz6o0bsFeJ3W3va07jhvoE1rfeVUgL6SK4MsGb4o0ywZvijTnFm1Vv
lIlVYsrElJggEkRTSQ424M3EG0/mOQTEm5PVxpkhHN6YU+ZUITA+iXyVE+ye5rTvff3SIwlp
IV0E5I0ywZtCQJko1OSNOcWbQkCZ2EftdqSrtLDtL+zJAwppIV0U4o0ywZtCQJko1OSNOcWb
QkCZ2EdNmThlKaSFdFlsvFEmeFMIKBOFmrwxp3hTCCgT+6gpE8pEtMkAM8CKOm7A5k3xxg3Y
vCnemFO8WfXGDdirxO629zWncUN9Autb7yqkhXQRXJngTfFGmeBN8cac4s2qN8rEKjFlYkpM
EAmiqSQHG/Bm4o0n8xwC4s3JauPMEA5vzClzqhAYn0S+ygl2T3Pa975+6ZGEtJAuAvJGmeBN
IaBMFGryxpziTSGgTOyjdjvSVVrY9hf25AGFtJAuCvFGmeBNIaBMFGryxpziTSGgTOyjpkyc
shTSQrosNt4oE7wpBJSJQk3emFO8KQSUiX3UlAllItpkgBlgRR03YPOmeOMGbN4Ub8wp3qx6
4wbsVWJ32/ua07ihPoH1rXcV0kK6CK5M8KZ4o0zwpnhjTvFm1RtlYpWYMjElJogE0VSSgw14
M/HGk3kOAfHmZLVxZgiHN+aUOVUIjE8iX+UEu6c57Xtfv/RIQlpIFwF5o0zwphBQJgo1eWNO
8aYQUCb2Ubsd6SotbPsLe/KAQlpIF4V4o0zwphBQJgo1eWNO8aYQUCb2UVMmTlkKaSFdFhtv
lAneFALKRKEmb8wp3hQCysQ+asqEMhFtMsAMsKKOG7B5U7xxAzZvijfmFG9WvXED9iqxu+19
zWncUJ/A+ta7CmkhXQRXJnhTvFEmeFO8Mad4s+qNMrFKTJmYEhNEgmgqycEGvJl448k8h4B4
c7LaODOEwxtzypwqBMYnka9ygt3TnPa9r196JCEtpIuAvFEmeFMIKBOFmrwxp3hTCCgT+6jd
jnSVFrb9hT15QCEtpItCvFEmeFMIKBOFmrwxp3hTCCgT+6gpE6cshbSQLouNN8oEbwoBZaJQ
kzfmFG8KAWViHzVlQpmINhlgBlhRxw3YvCneuAGbN8Ubc4o3q964AXuV2N32vuY0bqhPYH3r
XYW0kC6CKxO8Kd4oE7wp3phTvFn1RplYJaZMTIkJIkE0leRgA95MvPFknkNAvDlZbZwZwuGN
OWVOFQLjk8hXOcHuaU773tcvPZKQFtJFQN4oE7wpBJSJQk3emFO8KQSUiX3Ubke6Sgvb/sKe
PKCQFtJFId4oE7wpBJSJQk3emFO8KQSUiX3UlIlTlkJaSJfFxhtlgjeFgDJRqMkbc4o3hYAy
sY+aMqFMRJsMMAOsqOMGbN4Ub9yAzZvijTnFm1Vv3IC9Suxue19zGjfUJ7C+9a5CWkgXwZUJ
3hRvlAneFG/MKd6seqNMrBJTJqbEBJEgmkpysAFvJt54Ms8hIN6crDbODOHwxpwypwqB8Unk
q5xg9zSnfe/rlx5JSAvpIiBvlAneFALKRKEmb8wp3hQCysQ+arcjXaWFbX9hTx5QSAvpohBv
lAneFALKRKEmb8wp3hQCysQ+asrEKUshLaTLYuONMsGbQkCZKNTkjTnFm0JAmdhHTZlQJqJN
BpgBVtRxAzZvijduwOZN8cac4s2qN27AfoDYx9eZfv57v7mvOY0b6gNYv+UmQlpIF/GVCd4U
b5QJ3hRvzCnerHqjTEyI/V4Y7v+7MqFMlAW3us932d4AmwwwT+Y5BMSbk4TgzBAOb3xgLrOV
N+PPfVf5TPwST3NSJubLz2IT0nNL/tyCN8oEbwoBZaJQkzfmFG8KAWViC7Xfy8SPSzv+QQAB
BD6ZwMdXVvyDwAoBzqzQsi0CCDxF4CJXQl2Z2FJ3vv4gzvg441Ms5I0rE7wpBFyZKNTkjTnF
m0LAlYmnqZ3dP/H0wd/oAEJaSBedeaNM8KYQUCYKNXljTvGmEFAmnqJ2dGPJVW42eeqFfcLO
QlpIF614o0zwphBQJgo1eWNO8aYQUCYytdFN18rEWKoM+813NMAMsKK4R8Pypnjj0bC8Kd6Y
U7xZ9cajYSfE7v+Oid//rgllQpkoC251n++yvQHmykRxnTeuTPCmEPCBuVCTN65MFG9O91Em
lIlVqQSRAbbqzMf2rkzwpnjjygRvijfmFG9WvXFlYpXY3fbKhDKxqo+QFtKrzigT58SsKVcm
8poqO36Dfawpc2pVc2VilZgyMSUmiATRVJKDDXgz8eYiz/Au7+1n7sMbZaL4xRtzijeFwPgk
8lVOsL/E3zNxj/Eq4PbpsOdIQlpIF5N4o0zwphBQJgo1eWNO8aYQUCb2UbsdSZkYS7Ud9psc
0AAzwIrK7pngTfHGPRO8Kd6YU7xZ9cbXnFaJ3W2vTCgTq/oIaSG96szH9soEb4o3ygRvijfm
FG9WvVEmVokpE1NigkgQTSU52IA3E2/cM3EIiDcnq40zQzi8MafMqUJgfBL5KifY3TOx7339
0iMJaSFdBOSNMsGbQkCZKNTkjTnFm0JAmdhH7Xakq7Sw7S/syQMKaSFdFOKNMsGbQkCZKNTk
jTnFm0JAmdhHTZk4ZSmkhXRZbLxRJnhTCCgThZq8Mad4UwgoE/uoKRPKRLTJADPAijpuwOZN
8cYN2Lwp3phTvFn1xg3Yq8Tutvc1p3FDfQLrW+8qpIV0EVyZ4E3xRpngTfHGnOLNqjfKxCox
ZWJKTBAJoqkkBxvwZuKNJ/McAuLNyWrjzBAOb8wpc6oQGJ9EvsoJdk9z2ve+fumRhLSQLgLy
RpngTSGgTBRq8sac4k0hoEzso3Y70lVa2PYX9uQBhbSQLgrxRpngTSGgTBRq8sac4k0hoEzs
o6ZMnLIU0kK6LDbeKBO8KQSUiUJN3phTvCkElIl91JQJZSLaZIAZYEUdN2DzpnjjBmzeFG/M
Kd6seuMG7FVid9v7mtO4oT6B9a13FdJCugiuTPCmeKNM8KZ4Y07xZtUbZWKVmDIxJSaIBNFU
koMNeDPxxpN5DgHx5mS1cWYIhzfmlDlVCIxPIl/lBLunOe17X7/0SEJaSBcBeaNM8KYQUCYK
NXljTvGmEFAm9lG7HekqLWz7C3vygEJaSBeFeKNM8KYQUCYKNXljTvGmEFAm9lFTJk5ZCmkh
XRYbb5QJ3hQCykShJm/MKd4UAsrEPmrKhDIRbTLADLCijhuweVO8cQM2b4o35hRvVr1xA/Yq
sbvtfc1p3FCfwPrWuwppIV0EVyZ4U7xRJnhTvDGneLPqjTKxSkyZmBITRIJoKsnBBryZeOPJ
PIeAeHOy2jgzhMMbc8qcKgTGJ5GvcoLd05z2va9feiQhLaSLgLxRJnhTCCgThZq8Mad4Uwgo
E/uo3Y50lRa2/YU9eUAhLaSLQrxRJnhTCCgThZq8Mad4UwgoE/uoKROnLIW0kC6LjTfKBG8K
AWWiUJM35hRvCgFlYh81ZUKZiDYZYAZYUccN2Lwp3rgBmzfFG3OKN6veuAF7ldjd9r7mNG6o
T2B9612FtJAugisTvCneKBO8Kd6YU7xZ9UaZWCWmTEyJCSJBNJXkYAPeTLzxZJ5DQLw5WW2c
GcLhjTllThUC45PIVznB7mlO+97XLz2SkBbSRUDeKBO8KQSUiUJN3phTvCkElIl91G5HukoL
2/7CnjygkBbSRSHeKBO8KQSUiUJN3phTvCkElIl91JSJU5ZCWkiXxcYbZYI3hYAyUajJG3OK
N4WAMrGPmjKhTESbDDADrKjjBmzeFG/cgM2b4o05xZtVb9yAvUrsbntfcxo31CewvvWuQlpI
F8GVCd4Ub5QJ3hRvzCnerHqjTKwSUyamxASRIJpKcrABbybeeDLPISDenKw2zgzh8MacMqcK
gfFJ5KucYPc0p33v65ceSUgL6SIgb5QJ3hQCykShJm/MKd4UAsrEPmq3I12lhW1/YU8eUEgL
6aIQb5QJ3hQCykShJm/MKd4UAsrEPmrKxClLIS2ky2LjjTLBm0JAmSjU5I05xZtCQJnYR02Z
UCaiTQaYAVbUcQM2b4o3bsDmTfHGnOLNqjduwF4ldre9rzmNG+oTWN96VyEtpIvgygRvijfK
BG+KN+YUb1a9USZWiSkTU2KCSBBNJTnYgDcTbzyZ5xAQb05WG2eGcHhjTplThcD4JPJVTrB7
mtO+9/VLjySkhXQRkDfKBG8KAWWiUJM35hRvCgFlYh+125Gu0sK2v7AnDyikhXRRiDfKBG8K
AWWiUJM35hRvCgFlYh81ZeKUpZAW0mWx8UaZ4E0hoEwUavLGnOJNIaBM7KOmTCgT0SYDzAAr
6rgBmzfFGzdg86Z4Y07xZtUbN2CvErvb3tecxg31CaxvvauQFtJFcGWCN8UbZYI3xRtzijer
3igTq8SUiSkxQSSIppIcbMCbiTeezHMIiDcnq40zQzi8MafMqUJgfBL5KifYPc1p3/v6pUcS
0kK6CMgbZYI3hYAyUajJG3OKN4WAMrGP2u1IV2lh21/YkwcU0kK6KMQbZYI3hYAyUajJG3OK
N4WAMrGPmjJxylJIC+my2HijTPCmEFAmCjV5Y07xphBQJvZRUyaUiWiTAWaAFXXcgM2b4o0b
sHlTvDGneLPqjRuwV4ndbe9rTuOG+gTWt95VSAvpIrgywZvijTLBm+KNOcWbVW+UiVViysSU
mCASRFNJDjbgzcQbT+Y5BMSbk9XGmSEc3phT5lQhMD6JfJUT7J7mtO99/dIjCWkhXQTkjTLB
m0JAmSjU5I05xZtCQJnYR+12pKu0sO0v7MkDCmkhXRTijTLBm0JAmSjU5I05xZtCQJnYR02Z
OGUppIV0WWy8USZ4UwgoE4WavDGneFMIKBP7qCkTykS0yQAzwIo6bsDmTfHGDdi8Kd6YU7xZ
9cYN2KvE7rb3NadxQ30C61vvKqSFdBFcmeBN8UaZ4E3xxpzizao3ysQqMWViSkwQCaKpJAcb
8GbijSfzHALizclq48wQDm/MKXOqEBifRL7KCXZPc9r3vn7pkYS0kC4C8kaZ4E0hoEwUavLG
nOJNIaBM7KN2O9JVWtj2F/bkAYW0kC4K8UaZ4E0hoEwUavLGnOJNIaBM7KOmTJyyFNJCuiw2
3igTvCkElIlCTd6YU7wpBJSJfdSUCWUi2mSAGWBFHTdg86Z44wZs3hRvzCnerHrjBuwHiH18
nennv/eb+5rTuKE+gPVbbiKkhXQRX5ngTfFGmeBN8cac4s2qN8rEhNjvheH+vysTykRZcKv7
fJftDbDJAPNknkNAvDlJCM4M4fDGB+YyW3kz/tx3lc/El3yakzKxvtwsNiG9bs1//8sbZYI3
hYAyUajJG3OKN4WAMpGozcrE/Veg/P+/vg6GBRYc2OvAj6+s+BeDRQesw73rEE88OTB2IH3Q
3rzTy12Z2Pz6HQ4BBBBAAAEEEEAAAQQiAWUigrMbAggggAACCCCAAALfnYAy8d0N8PoRQAAB
BBBAAAEEEIgElIkIzm4IIIAAAggggAACCHx3ApcsEx9vyujvmfjub5jXjwACCCCAAAIIIIDA
VQhctkxcBZDfAwEEEEAAAQQQQAABBI4JKBPMQAABBBBAAAEEEEAAgURAmUjY7IQAAggggAAC
CCCAAALKBAf+ReDnvSqw/EkAm7EV2GBTMoM3vOFNIcCbQk3eHFPbwUWZKEa+6T6//83jb/oy
08vC5nx4JajfYCfe8KZozhve8KYQ4M0qtV1Zo0yskn/T7T09a36mZ9eieyeFeMOb4jNveMOb
QoA3hZq8mXtTuN7vo0w8S/BN9r//oOxD87/fVGweO9vDG948GofWlDX1qCv/+sDyn18fWeSN
vHnUIXkzJ/XselIm5ozfZov7dv77d+S++2LDZn7m4ujsDm/+86+/E2fE49mgfsUQsqasqeIt
b3jDm0LgeJ+z9TQq6uVPf8ky8e6XrFY/eBxtv8roFT4Urr6mjwWBzWNnQH9utcr4Fbwpgfld
vPm5Rn4/uXA2TL4Tm3s+jwzY78Lm9w8o2PwisJqh5tS5Pd9pTT2yju5n9e/bF/fOjrf0+6xs
fIVtfxdr9YP3FV7DbFCvvKajDwGV0coHir/NsbwmbOZnuM4+aD/q4ZW9+f31PfKavos3ow8x
q/lU1ubqh/S/nTdlwH4Xb8r7jY0s5s2aA38jh58pH38Uma8K6frnFiHrn/VV+z3ygWflQ+Dq
8b7qda/8uY++ppkvjx5n5Xf76m0ffU3fic3P14rNv+0sRfC7ePOoK7L4sS84fAdvZq9xNBtm
+xUXv3oO/fFh8+5+l5UTGd+BzQqP0YmOGafP9uGxFPjs32Lh+F8NbOFXzZvOXuOzP8+/2IV2
HH04/O5s7l//syzeYYD9Hry8OV7EvPmzZP0c8Nicn1GtH25m+XShcbP0qxxlzOy1rv586Re6
yMaj17j62mfbX+TlLv8as9f17M+Xf6HFHZSJRWB/Y/OjD3FnZ1ZXJfsbr+Gz/4yjAX/G7dGB
99m/92ce/+P1PxrYR2dCZh595u/+mccefRi0po4/QN+78V3X1O9rSd7MSyhvfjEyw//05Wy+
yOLx/Z1Hs/qK81uZ+MxPMfHYozPCj/7v7/qhcFQIRovtigsuKrG026Pv/2y7kW9Lv8wXb1xf
Y93vi1/uU3/87DU/Wsh5M/5Q+Q5s7iV7pGx+J29WC9V3ZPOzqMub8cmc2Rq74mcbZeKp8fs5
OzurMeaKzdw5Z1H//WHufnjdn3F2Nmw8zL47G2dR5zlz9oHmkZLx6IfJx36Ta2zFm8fehxGn
7+rN6IToK+WwMvGY+391q1nIPvvzv/piNv5hj3xI/q5sjs5kPMvi3c6inp01fJbVRs2/5FBH
a6ueNX0Hbx79sPOdvXn2tc/2/5KF8OQfyps5wNn7/uzP57/BNbd49nXP9v/sV/1yZeLnB4L7
M4yfDelvHv/+LOojf+5o+9XjPPJnfeU296/n0ff+u7J55H36Lmx+Z/HIB93vwqZkxHdhU+bM
d2IzOpM6yp7vxGZ1XX0XNo/O7d9PjB3tt8r4kZn4ldusvp4rOvOSZeIr33R/NgIIIIAAAggg
gAACCPyPgDLBBAQQQAABBBBAAAEEEEgElImEzU4IIIAAAggggAACCCCgTHAAAQQQQAABBBBA
AAEEEgFlImGzEwIIIIAAAggggAACCCgTHEAAAQQQQAABBBBAAIFEQJlI2OyEAAIIIIAAAggg
gAACygQHEEAAAQQQQAABBBBAIBFQJhI2OyGAAAIIIIAAAggggIAywQEEEEAAAQQQQAABBBBI
BJSJhM1OCCCAAAIIIIAAAgggoExwAAEEEEAAAQQQQAABBBIBZSJhsxMCCCCAwH/+Y4SwAAEE
EPjuBEyC726A148AAghEAspEBGc3BBBA4I0IKBNv9GZ6KQgggMDfIvBRJH7++7f+TH8OAggg
gMD1CCgT13tP/EYIIIDASxBwZeIl3ia/JAIIIPCpBJSJT8Xr4AgggMD7ElAm3ve99coQQACB
RwkoE4+Ssh0CCCCAwL8IKBOEQAABBBBQJjiAAAIIIJAIKBMJm50QQACBtyKgTLzV2+nFIIAA
An+PgBuw/x5rfxICCCBwVQLKxFXfGb8XAggggAACCCCAAAIXJ6BMXPwN8ushgAACCCCAAAII
IHBVAsrEVd8ZvxcCCCCAAAIIIIAAAhcnoExc/A3y6yGAAAIIIIAAAgggcFUC/wd95qlYIVIE
TQAAAABJRU5ErkJggg==</item>
		<item item-id="20">iVBORw0KGgoAAAANSUhEUgAAAHQAAAAqCAYAAABiHn+gAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="21">iVBORw0KGgoAAAANSUhEUgAAAEIAAAAWCAYAAAB0S0oJAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
APpJREFUWEftmFESgyAMROn9D93iFDohZAOIGrHhT0UJj0024+sdR/ARwgbCRxSDQ/gScBBJ
CT8QsUxstaIQSL7H799VRVKc2h7o/GLn6EN33TiNCx0kn5Ov+fwKhKSKFUAk96sUjUDw+aIi
CslcbCwzadg6RO05TI380kxgM0qiud1bqx4JYg/EU0DkHPp7RdDquud0LN45RBEoD9HHqf1o
/i3ZlWR1s+C1+Ht6pKHOki+GYCDXsS7AmkqHQFTeS6xVUk5Pk2ORQtKap4DQ+hCr4tsCfimI
x6RGq0ZwJUhNkbUtI2UMK6IlsVWfOwj+P2LVkzwqbldEIvkBCFzyGueVKG8AAAAASUVORK5C
YII=</item>
		<item item-id="22">iVBORw0KGgoAAAANSUhEUgAAAFMAAAAWCAYAAAC8J6DfAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AT9JREFUWEftluEOwyAIhLf3f+itbWpjGchxOueMJvvjAOETjz5f23qs1YbADnOtNgQebcKs
KMcLXxjaEegOcxMnOPvdNv1gp9NQ86uJh5yPV4ZEc2wiYCT0yCWkNDQfJg5aeleY55cDmtvN
joFgdSeVAOB0g5kS9jqIKazULUCex3OPrrye2vORs68MNT3xCsh9UD3yYmpJMz7yFWhgEUAR
G7Uzv3mLDBjG5+9g9uhMFqSmz558RbpQfUH5ZosJ6iUUgZPbRvx+Ps2l5pU0kCksdYrVHXJf
63rr4q1PIGSaa0O3FC+/KOkbH5Fe61X8z14Se6TVQJbeejo8DMzeIDUpKMmK9VJvPuytzuJn
AUT2Pzp1FihsHQg0z+bSTjaJGfw8zZQQraF47c8AZZQahhlAowCpyWPBrKEnfBfMhjDfnQxi
/ndMp+8AAAAASUVORK5CYII=</item>
		<item item-id="23">iVBORw0KGgoAAAANSUhEUgAAAHkAAAAqCAYAAACX4PQQAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="24">iVBORw0KGgoAAAANSUhEUgAAASkAAAAxCAYAAACGa1/AAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="25" content-encoding="gzip">H4sIAAAAAAAA/1xUW28SQRQ+swssbLkUbLFlUbRcRMVSRmNin2rTNCbWS9D3ZgtrwYjgsm36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</item>
		<item item-id="26">iVBORw0KGgoAAAANSUhEUgAAArYAAAGaCAYAAAD6hQA8AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
PhhJREFUeF7tnY2S20jPq79z/xf9noxnnNUokoX+k0jiSSpVuwm7RQIkBLdlz//7359f/8cv
EAABEAABEAABEAABEMiOwJex5RcIgAAIgAAIgAAIgAAIZEfg/7IXQP4gAAIgAAIgAAIgAAIg
8HoKARhAAARAAARAAARAAARAoAICGNsKLFIDCIAACIAACIAACIAAJ7b0AAiAAAiAAAiAAAiA
QA0EOLGtwSNVgAAIgAAIgAAIgIA9Ahhb+xYAABAAARAAARAAARCogQDGtgaPVAECIAACIAAC
IAAC9ghgbO1bAABAAARAAARAAARAoAYCGNsaPFIFCIAACIAACIAACNgjkNrY/vmpb/8Q+PV3
7z/27AIACIAACIAACIAACBghkNbYHpnXvdE9Mr5G3FIqCIAACIAACIAACFghkNbYfrF0ZVyv
/t2KaYoFARAAARAAARAAgeII2Bjb7SMK/Pd/j2uABVjQA/QAPUAP0AP0QLQe6PXfVsa2F6TM
6/6Maub0u3On7m7oUi6E75S0dScN393QpVwI3ylpG0p65B331K7nU+E8b/vdUwjC0GylWwzf
6SgbShi+h+BLtxi+01E2lLAr3y/vcvDlACqYJY3t2bclqKBUinMdDOqu1MXXtcD3NUaVIuC7
EpvXtcD3NUbVIjC2G0a3YJz9d7UG+FQPguDENif0XmzDN3x7IMB9zIPnbZWWxvbo+2qPHnx+
AzUCUuaWQhAys9eeO3y3Y5Z5BXxnZq89d/huxyzzCle+rR9FaGlYjG0LWvljXQWBuvP3bksF
8N2CVv5Y+M7PYUsFrnxjbMUuwdiKQBUJcxUE6i7SwGIZ8C0CVSQMvosQKZbhyjfGVm2QgU/Y
iZcIGeY6GNQdsh2XJQXfy6ANuTF8h6RlWVLwvQzasBuPHEam/laEFkZGQGq5TrRYBCEaI2vz
ge+1+EbbHb6jMbI2H/hei2+03V355sRW7ESMrQhUkTBXQaDuIg0slgHfIlBFwuC7CJFiGa58
Y2zVBuFRBBGpGmGugkDdNfpXrQK+VaRqxMF3DR7VKlz5xtiKHcKJrQhUkTBXQaDuIg0slgHf
IlBFwuC7CJFiGa58Y2zVBuHEVkSqRpirIFB3jf5Vq4BvFakacfBdg0e1Cle+MbZih3BiKwJV
JMxVEKi7SAOLZcC3CFSRMPguQqRYhivfGFu1QTixFZGqEeYqCNRdo3/VKuBbRapGHHzX4FGt
wpVvjK3YIZzYikAVCXMVBOou0sBiGfAtAlUkDL6LECmW4co3xlZtEE5sRaRqhLkKAnXX6F+1
CvhWkaoRB981eFSrcOUbYyt2CCe2IlBFwlwFgbqLNLBYBnyLQBUJg+8iRIpluPKNsVUbhBNb
EakaYa6CQN01+letAr5VpGrEwXcNHtUqXPnG2IodwomtCFSRMFdBoO4iDSyWAd8iUEXC4LsI
kWIZrnxjbNUG4cRWRKpGmKsgUHeN/lWrgG8VqRpx8F2DR7UKV74xtmKHcGIrAlUkzFUQqLtI
A4tlwLcIVJEw+C5CpFiGK98YW7VBOLEVkaoR5ioI1F2jf9Uq4FtFqkYcfNfgUa3ClW+Mrdgh
nNiKQBUJcxUE6i7SwGIZ8C0CVSQMvosQKZbhyjfGVm0QTmxFpGqEuQoCddfoX7UK+FaRqhEH
3zV4VKtw5RtjK3YIJ7YiUEXCXAWBuos0sFgGfItAFQmD7yJEimW48o2xVRuEE1sRqRphroJA
3TX6V60CvlWkasTBdw0e1Spc+cbYih3Cia0IVJEwV0Fwqnv7WtWp7u2IUvc3Gi7nFvBd5AYl
luHKN8ZWbRAX5dvh4ToY1C0ORuIwjO0fQ/fnt+Ovfd0u8g7fXt3uyjfGVuxzTmxFoIqEuQqC
U90YW4ztW64wtkWE+6QMJ13jHZn3uzD9L9r7VyabI4xtMsIG00UIBwFMsPzLzLwNDXwnIGxi
ilu+t30w8RIht6LPQ9KyLClXvjmxFVsKYysCVSTMVRCc6sbYcmL7fQPkGdsisn1ahpOucWLL
ia08zxhbGaoSgQhhCRo/FoGxxdhibOvP+YtjniX3IHpT5Yhn41GE4u2CIBQneFeeE98YW274
GFsPfXPSNU5sObGVp3rE/csXCRiIIAQkZWFKTnxjbDG2GNuFYhJoayddw9hibOXRw9jKUJUI
RAhL0MijCBc00uc8Y1t/0nkB58DxvsYRz8ajCMU7hhtfcYJNH0X4+20IPwpGn/v2OR8eq889
812fY4xtB8cj7r/jcmGWIAhhqLglERe+MbY/b9fxoZr/vvLN4JjGZb7/MTn0+S33j0gXGfFs
BlIw/rxGJLJbc0EIWxHLHe/CN8YWY/ue1H0v5J7gz9m7zDfG1nu+v6rH2ApKNgKSsH3YEIQw
LDVLEnPhG2PrfePb/4CG7xvhkpEKtanLfGNsvecbYyvKDsZWBKpIGDeAIkSelIGx9b7xYWxr
zzfG1nu+MbbifGNsRaCKhGFsixB5chKHsfW+8b3ne3tKe3RiW+0UF12ro2tKJa58Y2yV7njd
HA3epzrAwnUwqFscjOBhZ89P7g0NfAcncnJ6irGt+G0J9PnkRgq+nSvfGFuxMTG2IlBFwlwF
oVrdGNvPA1mNb1V+VGP7fYNUd40f5853fIbmZujKN8ZW7COMrQhUkTBXQchc96e3kvf/xokt
jyLsTetZj1R6RCHzfI/cWqh7BL2ca0c8W6HXshcnG5Vetjf0KYLQAFaB0Ax8nxkNjG17A2bg
u72q6xWjJ7ZnjylEv024833dGbUiXPnmxFbs4xH3L14iZJjrYFD3s+34yThgbOdx497nnz48
dvUYS8tJbpTndd35njc5OXZy5dva2B6Z1a+/e//Zti7GNscgz8rSVRBG6z47sZppVHtOZq8M
zGjds/ru7n3c6756RGX/uML2/9VHF84M8nuvlhdqR/m09Iw73y1YVYh15dvW2CrmdWtmMbYx
xvyTcTrLsOXG8TZgR4LQcu1PJzQt+/Tc/EZM5Lbuv1gcPHB0dI2z+NYb+5kJvTKnqgk5MiSu
NwD3uiMb27N+/jR7ew3cz+TRfJ+tWfX3n8x5zwvjI93/h9efH6nbo40t95XRFx6z77Ku821r
bI8K35vX38b259OxP5OxFYzXEG3+4uzfVv399vpH11Cve7XPV43qXu9ANf7s2vt93jmc7T+j
hrNr7P9+j8e+B1r32e63re/s73/dtDZ9uV97lMdVrts1R/19hkXLtfdc9a5tzfWsntk3lQz7
ud74XnX/6NnRLJz1lNKzn+ZNWd8a09r/SnxLDWc69K7jSJM/Yf/XfO407dN99kzPjrA82v9T
DVfxrddYee+6yrX32qP38Rn35X1t+/vvv9fo/whY/8oAqv/JyO6N7+uE9+v3tx5+/9n+nvX3
d1xjRa6/0ViPEzX0998Wu6M+fvfgvr8//f3+3977tu5/tk9PTttrn/33z74vkeS3FQJ/b4wt
fT6rn2ftMzoX+/vNfk5a7nXcu/o1uQe77ZoK99/ZnurldPt+9a/su97UVa3GdurFk2xmfaKT
hKOrNM/m++jv/74qPtj07N9m/v3+rbxtjvt83/8/5e8HRPAK/8j/bj3fXy9mdnewqT3180be
lv+z/d993zKTrXN3dQ3lLf3IvfwpN+s+z0raYN4jj49ibAfBj74cQYjO0Nz87uC79YbcE783
yNv/PzQzGNu5jRR8t1+PImxynWVsr0xki4GdCeUd8z0z31l7UfcsJPPsg7H94erzM7apPXx3
NyII3dClXBiV7xYj0GVOMLYp+7U36VnG9ugF1DuniC0Vdb57eVTXUbeKVJ04jC3G9rSbEYQ6
g65Uko3vM8PLia3C9vfnBBx/3WFsI+JqzXdEQhbn5Mr3t/73a1v/ysWEXm3/6ftqla8Cu9q/
yr+7DgZ15+1gTmx17qz7vPEZ24H7pE7I4khrvhdjG3F7V75tjW1rE464/9ZrRYp3HQzqjtSF
7bk0n+RWcC3tMHFie/DhsbNWqNAi6FrHkCRe4so3xlZsWoytCFSRMFdBqF730QfRXoalgmvp
mL3qfJ9B8ulRhMqtYM13x3xkX+LKN8ZW7FyMrQhUkTBXQaheN8b294BW5xtjC98vk+P8LHmR
e3JrGSOeLe0ztneC1HqtSPEIQiQ21udSnW+MLUbnr9E5ecaWE9v1OnP3Farr2scXcHeDHeR6
GFuBiBGQhO3DhiAIYalZklh1vjG2GFuM7RLpCL1pdV3D2P6LwIhn48Q29DiPJ4cgjGOYaYfq
fJ9+qKzyMd2HBqzO98cb/sGJ7cv0Fr6rWfOdSYgn5erK9/cc9w9y/8pJxN21zQhId+W44jqu
g0HdK7rp+T0xtpzYfjqxxdg+P6MrMkDPV6Aae88Rz4axjc3tcHYIwjCEqTZw5JtvRUjVolOS
PftWhCmbB97Ecb7/vpAJzMuq1Fz55sRW7KgR9y9eImSY62BQd8h2XJIUxnYJrKE3xdiGpmd6
cuj5dEjDbzji2TixDU/vWIIIwhh+2VY78o2xzdal4/libMcxzLSDo645n1RzYitO54j7Fy8R
MgxBCEnLsqQc+cbYLmunsBtjbMNSsyQxR13D2Pafu/avXNK+6zbF2K7DNuLOCGFEVtbkhLFd
g2vkXTG2kdmZnxt6Ph/T6DuOeDaMbXR2B/NDEAYBTLbckW+MbbImnZAuxnYCiIm2cNQ1Tmz7
7Wn/ykRD8WqQge9ES1bqr3QRhMzstefuyDfGtr1Psq/A2GZnsC1/R13D2Pbb0/6VbX35eDTG
9nEKbk0AIbwV7kcvhrF9FP5HLo6xfQT2xy6Knj8G/WMXHvFsGNvHaLvnwgjCPThHuYoj3xjb
KN13Xx4Y2/uwjnAlR13jxLbfnvavjNDtDTmMuP+Gy4QLRRDCUbI0IUe+MbZLWyrk5hjbkLQs
S8pR1zC2/fa0f+WyFl6zMcZ2Da5Rd0UIozIzPy+M7XxMo++IsY3O0Nz80PO5eGbYbcSzYWwz
MDyQI4IwAF7CpY58Y2wTNupgyhjbQQCTLXfUNU5s++1p/8psg8G3IiRjbCxdhHAMv0yrMbaZ
2JqTK8Z2Do5ZdkHPszA1L09ObAUsR0AStg8bgiCEpWZJYo58Y2yXtFLoTTG2oemZnpyjrnFi
23/u2r9yeuuu3RBjuxbfaLsjhNEYWZcPxnYdtlF3xthGZWZNXuj5Glwj7zri2TC2kZmdkBuC
MAHERFs48o2xTdSgk1LF2E4CMsk2jrrGiW2/Pe1fmWQg3mmOuP9kpf5KF0HIzF577o58Y2zb
+yT7Coxtdgbb8nfUNYxtvz3tX9nWl49HY2wfp+DWBBDCW+F+9GIY20fhf+TiGNtHYH/souj5
Y9A/duERz4axfYy2ey6MINyDc5SrOPKNsY3SffflgbG9D+sIV3LUNU5s++1p/8oI3d6Qw4j7
b7hMuFAEIRwlSxNy5Btju7SlQm6OsQ1Jy7KkHHUNY9tvT/tXLmvhNRtjbNfgGnVXhDAqM/Pz
wtjOxzT6jhjb6AzNzQ89n4tnht1GPBvGNgPDAzkiCAPgJVzqyDfGNmGjDqaMsR0EMNlyR13j
xLbfnvavzDYY/OSxZIyNpYsQjuGXaTXGNhNbc3LF2M7BMcsu6HkWpublyYmtgOUISML2YUMQ
hLDULEnMkW+M7ZJWCr0pxjY0PdOTc9Q1Tmz7z137V05v3bUbYmzX4httd4QwGiPr8sHYrsM2
6s4Y26jMrMkLPV+Da+RdRzwbxjYysxNyQxAmgJhoC0e+MbaJGnRSqhjbSUAm2cZR1zix7ben
/SuTDMQ7zRH3n6zUX+kiCJnZa8/dkW+MbXufZF+Bsc3OYFv+jrqGse23p/0r2/ry8WiM7eMU
3JoAQngr3I9eDGP7KPyPXBxj+wjsj10UPX8M+scuPOLZMLaP0XbPhRGEe3COchVHvjG2Ubrv
vjwwtvdhHeFKjrrGiW2/Pe1fGaHbG3IYcf8NlwkXiiCEo2RpQo58Y2yXtlTIzTG2IWlZlpSj
rmFs++1p/8plLbxmY4ztGlyj7ooQRmVmfl4Y2/mYRt8RYxudobn5oedz8cyw24hnw9hmYHgg
RwRhALyESx35xtgmbNTBlDG2gwAmW+6oa5zY9tvT/pXZBoOfPJaMsbF0EcIx/DKtxthmYmtO
rhjbOThm2QU9z8LUvDw5sRWwHAFJ2D5sCIIQlpoliTnyjbFd0kqhN8XYhqZnenKOusaJbf+5
a//K6a07Z8MvA/v+s90RYzsH3yy7IIRZmBrPE2M7jmG2HTC22Rgbyxc9H8Mv4+oRz1bK2O6B
2P7/CEgZm+KdM4KQmb323B35xti290n2FRjb7Ay25e+oa5zY9tvT/pVtfXlLNMb2X5gRhFta
L8xFHPnG2IZpv9sSwdjeBnWICznqGsa23572rwzR7gdG7udDYkcm92s4+A0CIFAMgS8V+3oE
id9WCLw4/8M9vIMACBREYOAD/+WM7etVzgEgPIoQ9JXIorR4hb8I2IDbcmIbkJTFKXFiuxjg
YNuj58EIuSGdEc9Wzti+wfj0WMINnIS5BIIQhopbEnHkG2N7S2uFugjGNhQdy5Nx1DUeRei3
p/0rl7dy+wV4xvbg0Yw/b9Q5/kIIfVjH2Ppw/a4UY+vFOXruxffZO+8qCqVcD8YWY/vrxqdO
QaE4xxsAxrZQA4ulvJ4oLHX30gp3nG/nk0tXvjG2Oz3ge2x/A+I6GNSt3SirRDmaHPcbviPn
6FoVxdLqcOUbY6v1x+EHysSlqcNcB4O6U7dtc/KOJgdj29wm6Rega+kpbCrAlW+MrdgmI5+w
Ey8RMsx1MKg7ZDsuSwpjuwzakBvzKEJIWpYlhZ4vgzbsxiOezeYppRGQwjIvJIYgCCAVCrHl
20bJfjerLd88Y1tIta5Lce7za3RqRox4NpvbwQhImdsGQcjMXnvutnzbKBnG9v0IhuMpve18
8+0+7TeD5CtGPJvN7WAEpMz9gRBmZq89d1u+bZQMY4uxbdeF7Ctsdc3U0L9mfOCVq83tYASk
zKKAIGRmrz13W75tlAxji7Ft14XsK2x1DWPb1bo2twOMbVd/pF2EEKalrivxgRf3XdeLssi5
zx05d+Y7yszdmYcr35zYil2GsRWBKhLmKgi2ddu8ROfElhPbIiLdUIatrnFi29Al/4Xa3A4w
tl39kXYRQpiWuq7EHU/v3gavC7Dki/i6r+QENqaPnjcCViB8xLNhbAs0wKcSEITiBO/Ks+Xb
Rsk4seXE1kvT3F/A+bH9XTHGVmB+BCRh+7AhtkbH9C0cW74xtmE1aEVinNiuQDXunra6Znof
w9iKs4ixFYEqEoYQFiFSLINHEUSgioRhbIsQKZaBnotAFQob8Ww25xwjIGXuFQQhM3vtudvy
baNkPIrAowjtupB9ha2ucWLb1bo2twOMbVd/pF2EEKalritxTmy7YEu7iBPbtNR1JY6ed8GW
etGIZ8PYpqb+OnkE4RqjShG2fNsoGSe2nNhWUiytFltd48RWa5BdlM3tYMT9dyEbZBGCEISI
m9Kw5dtGyTC2GNubxCTQZWx1DWPb1YU2twOMbVd/pF2EEKalritxHkXogi3tIh5FSEtdV+Lo
eRdsqReNeDaMbWrqr5NHEK4xqhRhy7eNknFiy4ltJcXSarHVNU5stQbhUYQunNIuQhDSUteV
uC3fGNuufsm6iBPbrMz15W2raxjbroaxuR2MHGt3IRtkEYIQhIib0rDl20bJOLHlxPYmMQl0
GVtdw9h2daHN7QBj29UfaRchhGmp60qcZ2y7YEu7iBPbtNR1JY6ed8GWetGIZ8PYpqb+OnkE
4RqjShG2fNsoGSe2nNhWUiytFltd48RWa5BdlM3tYMT9dyEbZBGCEISIm9Kw5dtGyTC2GNub
xCTQZWx1DWPb1YU2twOMbVd/pF2EEKalritxHkXogi3tIh5FSEtdV+LoeRdsqReNeDaMbWrq
r5NHEK4xqhRhy7eNknFiy4ltJcXSarHVNU5stQbhUYQunNIuQhDSUteVuC3fGNuufsm6iBPb
rMz15W2raxjbroaxuR2MHGt3IRtkEYIQhIib0rDl20bJOLHlxPYmMQl0GVtdw9h2daHN7QBj
29UfaRchhGmp60qcZ2y7YEu7iBPbtNR1JY6ed8GWetGIZ8PYpqb+OnkE4RqjShG2fNsoGSe2
nNhWUiytFltd48RWa5BdlM3tYMT9dyEbZBGCEISIm9Kw5dtGyTC2GNubxCTQZWx1DWPb1YU2
twOMbVd/pF2EEKalritxHkXogi3tIh5FSEtdV+LoeRdsqReNeDaMbWrqr5NHEK4xqhRhy7eN
knFiy4ltJcXSarHVNU5stQbhUYQunNIuQhDSUteVuC3fGNuufsm6iBPbrMz15W2raxjbroax
uR2MHGt3IRtkEYIQhIib0rDl20bJOLHlxPYmMQl0GVtdw9h2daHN7QBj29UfaRchhGmp60qc
Z2y7YEu7iBPbtNR1JY6ed8GWetGIZ8PYpqb+OnkE4RqjShG2fNsoGSe2nNhWUiytFltd48RW
a5BdlM3tYMT9dyEbZBGCEISIm9Kw5dtGyTC2GNubxCTQZWx1DWPb1YU2twOMbVd/pF2EEKal
ritxHkXogi3tIh5FSEtdV+LoeRdsqReNeDaMbWrqr5NHEK4xqhRhy7eNknFiy4ltJcXSarHV
NU5stQbhUYQunNIuQhDSUteVuC3fGNuufsm6iBPbrMz15W2raxjbroaxuR2MHGt3IRtkEYIQ
hIib0rDl20bJOLHlxPYmMQl0GVtdw9h2dWHZ28GXkd2aWYxtV3+kXYQQpqWuK3Gese2CLe0i
TmzTUteVOHreBVvqRSOeraSxPQJkBKTM3YEgZGavPXdbvksq2TX/tnz/OclyfDHjzPf1NNSL
cOX79a7MwICXux2cgTECUuZxcR0M6s7cte25D2hg+8UCrXDuc0fOnfkONHa3peLKN8Z202Jv
87p/DOEN0uvtK36DAAjUQ+DPS3Rm2wwBOKfnQaAuAgOvXKef2H46GV19avrpudrV177tJVzj
hVxf8VF3Y6MkDx/QwNSVO/e5I+fOfKce1M7kXfkOdWKrPNu60mDu9+bDY9+nWI6/qNuLdUeT
8xJ/4/l25NyZby9F+67WlW+M7cGjCO+/wtj6DoarINjW7fn6zfbGx7cieNk8W10zfeG6xNi+
39LfG8PWxwyO9hlN+NM4c2L7LzoIAjcABwQcT++cT3Qwtg5T/V+N3Me8+B71iafnHJ9M4hHE
Ld9GsPpxhLMPj/m1Bie2bpzb3gA4sbVqdYytFd3W70x4Mb15MTNwWvHxdrD9loErcKMY27M8
V5rpK2ye/Hdbo2P6Fo4t3xjbJ2Xm9mtjbG+H/NEL2uqa6X1s2YntdmPFFGJsH53704sjCDF5
WZWVLd8Y21UtFXJfjG1IWpYlZatrGNuunrq8HSim9pO7Vr4poSvzxkVqHY3bhg9HEMJTNDVB
W74vlWwqzGE2s+WbnzwWpgfvSMS5z+/AN+I1Rjzb5e3g6Fnbsx+EcGZiI3w7wQhIEUlXc0IQ
VKRqxNnyfalkNfjdV2HLN8a2ZkOfVOXc51ZEb4od8Wxdt4OzZ2+VRJSYFUQ+dd0VtbTsiSC0
oJU/1pbvLiWD76wI8ChCVub68rbVNR5F6GqY7ttByzO178yeNJdPXruLmUmLEIRJQCbZxpbv
biVLQiwnWb8QwNjm7tvW7G11DWPb2iqv+O7bQTajmC3fLjYPFiEIs5DMsY8t391KloPXsyxt
+eZRhNyN25i9c583QlUmfMSzdd0OWr4GLArKIyBFqaEnDwShB7W8a2z57lKyvDz/fRes/2wi
dfGc2Kamrzl5W10zne/Xqeuq77E96r7tDz84+kEIzR1704IRkG5KccllEIQlsIbd1JZvjG3Y
nlyRGMZ2Bapx97TVNYxtV1Pa3A4wtl39kXYRQpiWuq7EB17cd10vyiLnPnfk3JnvKDN3Zx6u
fN9+YnsnqTOvhbGdiWb8vVwFwbZum5fov2fPlm+esY0vwhMzdO7ziTCm2mrEs9ncDkZAStUN
u2QRhMzsteduy7eNkmFsX6c5GNt2cUi8wlbXeBShq2ttbgcY267+SLsIIUxLXVfijm9Lvw1e
F2DJF2FskxPYmD563ghYgfARz4axLdAAn0pAEIoTzAn9CwGMrV+fO3KOnvv1uVfF/1WLsRWY
HwFJ2D5sCEIYlpolidnybfMS/Xfb2PLNowhL9CPqps59HpWT1XmNeDab28EISKsJXLk/grAS
3Xh72/Jto2QY29cJPcY2nvgszMhW13jGtqur/r0dfL2/s/pPV6pjizC2Y/hlW40QZmNsLF/H
t6XfBm8MuZyrMbY5eevNGj3vRS7vuhHPZnPOMQJS3tb4Ptlw/EXdXqxjbM345sTWinD03Iru
V7Ejns3G9YyAlLmlEITM7LXnbsu3jZLxKAKPIrTrQvYVtrpmejCFsRUnFmMrAlUkDCEsQqRY
Bie2IlBFwngUoQiRYhnouQhUobARz2ZzzjECUuZeQRAys9eeuy3fNkrGiS0ntu26kH2Fra5x
YtvVuja3A4xtV3+kXYQQpqWuK3FObLtgS7uIE9u01HUljp53wZZ60Yhnw9impv46eQThGqNK
EbZ82ygZJ7ac2FZSLK0WW13jxFZrkF2Uze1gxP13IRtkEYIQhIib0rDl20bJMLYY25vEJNBl
bHUNY9vVhTa3A4xtV3+kXYQQpqWuK3EeReiCLe0iHkVIS11X4uh5F2ypF414thDG9lMBI8Vt
WZ21T7ZOQRCyMTaWry3fIZRsjLue1bZ88z22Pe2Sdo1zn6clbTDxEc/2+O3gKPn9340U+MZ2
xh6DPD2yHEF4BPbHLmrL9+NK9gzltnxjbJ9puIeu6tznD0H++GVHPNvjtwOM7dr+QRDW4htt
d1u+H1eyZzrBlm+M7TMN99BVnfv8Icgfv+x0Y/u14fvP9sRz5EJHKJ2Z2v21v9aOXnt0/eMs
dyaAIHQCl3SZLd8Y26Qd25c2z9j24ZZ1la2u8eGxrpY9vR2seBxgn+GZ2VROcVurxdi2IpY7
HiHMzV9r9nx4rBWx3PEY29z8tWaPnrcilj9+xLN9POd4b3x1ge0J76fT3qNT4JaT3BGqrmoY
2TvyWgQhMjvzc7PlmxPb+c0UeEeMbWByFqRmq2uc2HZ10xRj+3XlsxPeTye/nNh2cda0CEFo
git9sC3fGNv0vdtSAMa2Ba38sba6hrHtat7L24F60tliUt+ZtqxR8zhDYXR9F7oBFiEIAUi4
MQVbvi+V7EYSbryULd98eOzGLnv+Us59/jz6z2Qw4tkubwdHJ67bRxSOHldoeT730wfIrgxw
C9wjILVcJ1osghCNkbX52PJ9qWRrcX9qd1u+MbZPtdwj13Xu80cAD3DREc/WdTs4M7NHz9du
zWnvh8JGCpxpjgNw3ZwCgtAMWeoFtnx3KVlqql/J2/KNsc3fvA0VOPd5A0ylQkd8X/ftoOfZ
2ZcQH3x8+VMBI8VtWZ61T7bOQRCyMTaWry3f3Uo2hvfTq235xtg+3Xq3Xt+5z28FOtDFRjxb
9+2g5XGDCAZzBKRAXDengiA0Q5Z6gS3f3UqWmm5ObHPT15y97XybfojKle+zQ1B1YLpuB8pz
te8Eeg2wWoAah7FVkaoR5yoItnV3KVn+XrflmxPb/M3bUIFznzfAVCp0xLM13w7ez9G+HfX2
udpPHwTbrnsC/RGQnsh31jURhFlI5tjHlu9mJcvB51WWtnxjbK9ao9S/O/d5KSIbihnxbDa3
gxGQGrgIF4oghKNkaUK2fNso2e/2seUbY7tUR6Jt7tzn0bi4K58Rz2ZzOxgB6S4iV1wHQViB
atw9bfm2UTKM7evdQoxtXBFakJmtrpk+W/x+IqC3lWxuBxjb3hbJuQ4hzMlbb9YHX7bSu1Wq
dc597si5M9+pBnNSsq58Y2w/NNDWzGJsJ01akm1cBcG2bpuX6JzYcmKbRIQnpmmra5zYdnVR
2dvB/sNqGNuu/ki7CCFMS11X4o6nd2+D1wVY8kU8ipCcwMb00fNGwAqEj3i2ksa25evICvD/
sQQEoTrDnOB9v23lxfO7Wtv5/uLbkHRbvk1PLl355lGEg/vZmbF9vcrnNwiAQDkEvkzOl89h
vk0Q+DG2JtXS1yDgh8DAC9d/zjleN4fFf1aerZw9VztyrL0y39V7u77io+7VnRVs/x9jGyyr
5enY9jkntst7K9IFbPvc9KSaE9vN9H36KWcY20gytT4XhHA9xqGugLENRcfqZF6HOQMnOqvz
W7U/urYK2Zj7uvKNsd0Z2/1PQjt6LCFmC6/JynUwqHtNP4XdFWMblpoViWFsV6Aad0/0PC43
qzIbOYws/ZELvu7r+5lDx1/UbcY6xtaKcIytFd3cx7zoflWLsT0hHWOLsXXTA1dD//7wGHx7
IICx9eD5XaWrrrnWjbEV53vE/YuXCBnmOhjUHbId1yXFie06bAPujLENSMrClNDzheAG3XrE
s9m8Tz0CUlDepbQQBAmmMkGufHNiW6aFpUIwthJMZYJcdc21bk5sxdHF2IpAFQlzFQTXujG2
RQZXLANjKwJVJMxV11zrxtiKg4uxFYEqEuYqCK51Y2yLDK5YBsZWBKpImKuuudaNsRUHF2Mr
AlUkzFUQXOvG2BYZXLEMjK0IVJEwV11zrRtjKw4uxlYEqkiYqyC41o2xLTK4YhkYWxGoImGu
uuZaN8ZWHFyMrQhUkTBXQXCtG2NbZHDFMjC2IlBFwlx1zbVujK04uBhbEagiYa6C4Fo3xrbI
4IplYGxFoIqEueqaa90YW3FwMbYiUEXCXAXBtW6MbZHBFcvA2IpAFQlz1TXXujG24uBibEWg
ioS5CoJr3RjbIoMrloGxFYEqEuaqa651Y2zFwcXYikAVCXMVBNe6MbZFBlcsA2MrAlUkzFXX
XOvG2IqDi7EVgSoS5ioIrnVjbIsMrlgGxlYEqkiYq6651o2xFQcXYysCVSTMVRBc68bYFhlc
sQyMrQhUkTBXXXOtG2MrDi7GVgSqSJirILjWjbEtMrhiGRhbEagiYa665lo3xlYcXIytCFSR
MFdBcK0bY1tkcMUyMLYiUEXCXHXNtW6MrTi4GFsRqCJhroLgWjfGtsjgimVgbEWgioS56ppr
3RhbcXAxtiJQRcJcBcG1boxtkcEVy8DYikAVCXPVNde6Mbbi4GJsRaCKhLkKgmvdGNsigyuW
gbEVgSoS5qprrnVjbMXBxdiKQBUJcxUE17oxtkUGVywDYysCVSTMVddc68bYioOLsRWBKhLm
KgiudWNsiwyuWAbGVgSqSJirrrnWjbEVBxdjKwJVJMxVEFzrxtgWGVyxDIytCFSRMFddc60b
YysOLsZWBKpImKsguNaNsS0yuGIZGFsRqCJhrrrmWjfGVhxcjK0IVJEwV0FwrRtjW2RwxTIw
tiJQRcJcdc21boytOLgYWxGoImGuguBaN8a2yOCKZWBsRaCKhLnqmmvdGFtxcDG2IlBFwlwF
wbVujG2RwRXLwNiKQBUJc9U117oxtuLgYmxFoIqEuQqCa90Y2yKDK5aBsRWBKhLmqmuudWNs
xcHF2IpAFQlzFQTXujG2RQZXLANjKwJVJMxV11zrxtiKg4uxFYEqEuYqCK51Y2yLDK5YBsZW
BKpImKuuudaNsRUHF2MrAlUkzFUQXOvG2BYZXLEMjK0IVJEwV11zrRtjKw4uxlYEqkiYqyC4
1o2xLTK4YhkYWxGoImGuuuZaN8ZWHFyMrQhUkTBXQXCtG2NbZHDFMjC2IlBFwlx1zbVujK04
uBhbEagiYa6C4Fo3xrbI4IplYGxFoIqEueqaa90YW3FwMbYiUEXCXAXBtW6MbZHBFcvA2IpA
FQlz1TXXujG24uBibEWgioS5CoJr3RjbIoMrloGxFYEqEuaqa651Y2zFwcXYikAVCXMVBNe6
MbZFBlcsA2MrAlUkzFXXXOvG2IqDi7EVgSoS5ioIrnVjbIsMrlgGxlYEqkiYq6651o2xFQcX
YysCVSTMVRBc68bYFhlcsQyMrQhUkTBXXXOtG2MrDi7GVgSqSJirILjWjbEtMrhiGRhbEagi
Ya665lo3xlYcXIytCFSRMFdBcK0bY1tkcMUyMLYiUEXCXHXNtW6MrTi4GFsRqCJhroLgWjfG
tsjgimVgbEWgioS56ppr3RhbcXAxtiJQRcJcBcG17i9j+y2GRRpYLMOR7y+OX3W7kf3V3191
G/6ibj/SRzxbuSn5AuP9Z9sKIyBlbikEITN77bm78o2xbe+VrCswtlmZ68/bVddc6+bEdjMr
e/O6/X+Mbb+oZFzpKgiudWNsM05pX84Y2z7cMq9y1TXXujG2H6YVY8tbV5nFvCd3WyHkUYSe
dkm5BmObkrahpF11zbVujG2Dsf1qEn6DAAjUQ+D14bGv3z/PX9arkIr+IrB5xhZUQAAEiiIw
8Ax9uWdsz56r5VGEoRfM6Ra7vtJ1rZtHEdKNaHfCnNh2Q5d2oauuudbNie3JqH563jbtdHck
7joY1N3RLJmX8ChCZvaacsfYNsFVIhg9L0FjUxEjh5ElT2yPABkBqYmNYMEIQjBCFqfjyjcn
tosbK9D2GNtAZNyUiquuudbNie1usM4+MIaxvUmBglzGVRBc68bYBhm8G9LA2N4AcrBLuOqa
a90Y280Abr/Ddv9dthjbYEq1OB1XQXCtG2O7eKACbY+xDUTGTam46ppr3RhbcbAwtiJQRcJc
BcG1boxtkcEVysDYCiAVC3HVNde6MbbiAGNsRaCKhLkKgmvdGNsigyuUgbEVQCoW4qprrnVj
bMUBxtiKQBUJcxUE17oxtkUGVygDYyuAVCzEVddc68bYigOMsRWBKhLmKgiudWNsiwyuUAbG
VgCpWIirrrnWjbEVBxhjKwJVJMxVEFzrxtgWGVyhDIytAFKxEFddc60bYysOMMZWBKpImKsg
uNaNsS0yuEIZGFsBpGIhrrrmWjfGVhxgjK0IVJEwV0FwrRtjW2RwhTIwtgJIxUJcdc21boyt
OMAYWxGoImGuguBaN8a2yOAKZWBsBZCKhbjqmmvdGFtxgDG2IlBFwlwFwbVujG2RwRXKwNgK
IBULcdU117oxtuIAY2xFoIqEuQqCa90Y2yKDK5SBsRVAKhbiqmuudWNsxQHG2IpAFQlzFQTX
ujG2RQZXKANjK4BULMRV11zrxtiKA4yxFYEqEuYqCK51Y2yLDK5QBsZWAKlYiKuuudaNsRUH
GGMrAlUkzFUQXOvG2BYZXKEMjK0AUrEQV11zrRtjKw4wxlYEqkiYqyC41o2xLTK4QhkYWwGk
YiGuuuZaN8ZWHGCMrQhUkTBXQXCtG2NbZHCFMjC2AkjFQlx1zbVujK04wBhbEagiYa6C4Fo3
xrbI4AplYGwFkIqFuOqaa90YW3GAMbYiUEXCXAXBtW6MbZHBFcrA2AogFQtx1TXXujG24gBj
bEWgioS5CoJr3RjbIoMrlIGxFUAqFuKqa651Y2zFAcbYikAVCXMVBNe6MbZFBlcoA2MrgFQs
xFXXXOvG2IoDjLEVgSoS5ioIrnVjbIsMrlAGxlYAqViIq6651o2xFQcYYysCVSTMVRBc68bY
FhlcoQyMrQBSsRBXXXOtG2MrDjDGVgSqSJirILjWjbEtMrhCGRhbAaRiIa665lo3xlYcYIyt
CFSRMFdBcK0bY1tkcIUyMLYCSMVCXHXNtW6MrTjAGFsRqCJhroLgWjfGtsjgCmVgbAWQioW4
6ppr3RhbcYAxtiJQRcJcBcG1boxtkcEVysDYCiAVC3HVNde6MbbiAGNsRaCKhLkKgmvdGNsi
gyuUgbEVQCoW4qprrnVjbMUBxtiKQBUJcxUE17oxtkUGVygDYyuAVCzEVddc68bYigOMsRWB
KhLmKgiudWNsiwyuUAbGVgCpWIirrrnWjbEVBxhjKwJVJMxVEFzrxtgWGVyhDIytAFKxEFdd
c60bYysOMMZWBKpImKsguNaNsS0yuEIZGFsBpGIhrrrmWjfGVhxgjK0IVJEwV0FwrRtjW2Rw
hTIwtgJIxUJcdc21boytOMAYWxGoImGuguBaN8a2yOAKZWBsBZCKhbjqmmvdGFtxgDG2IlBF
wlwFwbXuT8b2ywhV/VWd7yPuMLZVu/m8rup9fla5a90YW3HGMbYiUEXCXAXBte4zY/syQRjb
tFONsf1Nnet8U3faEe5OfMSzFZb8nSBUvrt9aB0EoXuuUi505Rtjm7JdL5M+emHCie0lbOUC
XHXNtW5ObMURHnH/4iVChrkOBnWHbMd1Sf28cN2/fuXEdh3kd+yMseXE9mVy/vx2/OVaN8ZW
7HaMrQhUkTBXQXCtmxPbIoO7KwNji7HF2Nac7auqRjybzcugEZCuCIj8765Gh7ojd+WC3Dix
XQDqs1u+T98PT+G/TvAMHy9D157tybuv7so3J7Zip2FsRaCKhLkKgmvdRye2W99z9iGk7O1e
he8rfvZcvurG2GZvXzn/Kn0uF/wT6Fo3xlbsFIytCFSRMFdBcK271dhWefa2Ct9njxy85Qhj
+41EFb5bbzPU3YpY/vgRz8ajCPn5/1gBglCc4F15rnzPMrbZDG82vs/wxdhqOpWNb62q6yjq
vsaoWgTGdsPoFxjvP1uiR0DK3DAIQmb22nN35bvH2H6/3fUb47PnOt+xV2+ZtzM2tuJpvk+/
Z/bgyOTTM7OfuNj/G1/3NdYzGVc/3edPYeZa9/fM95+79q98iukP190Dsf3/EZACliqn5DoY
1C23SI3Agw+PfXrGttdktRq5nvieNXsSr05G77jGUU4tLybO+MPY1hjZlirQ8xa0asSOeDaM
bY0eOK0CQShO8K48V75Xn9heGeGjU8U3NeqpcM813nx/MoHbFrm6xlmud9TXcm0+PIauOSBg
q+ec2P7X3lcntl9Nwm8QAIF6CLyM7esxpJciyv+9XTOy9tO1z64x8vdqrSPX2OKhXk/BUMFc
vh6KDgIgUBMBHkX4NrdXxtbhFd4/b//xE1usaHd9hd9ycjnrBFXd533a+ent/95HA7Z8Xz1+
cPa4Quu17zi9vbqGe59bidrXvZ37mBvlPGP731t+v5+s4BlbBMFNDdxvAMpb8qohPXvbXjGq
R303cABx+6NGZ7n2mucjU703r1dmdvtoh3ufo2seCLj2+dFBZQvjPGPbglbCWNfBoO6EzTqQ
8ooT2yPjNZDikqUZ+vzsRBhj294SGfhur+p6BXVfY1Qtgg+P/TDKowj/tjaCUG3cP9fjzvfV
iW3L2+4ZOicr36MfYsta92hPUfcogrnWu/LNie2uT/ke29+AuA4GdecS8NFsr05s36eDn95i
H83hifWZ+7zlcYf9C5bMdY/0CXWPoJdvrSvfGFuxV0eOtcVLhAxzHQzqDtmOy5IaNbbLElu8
ccU+P3qOF2P73UgV+VZGhLoVlGrFjHi2Us/YfqJ1BKTM7YIgZGavPXd3vs8eRbg6sW1HOsaK
inx/eib3L498Sj5GA96URcU+V6BzrZsTW6U7vl7prvhIsnjtJ8NcB4O6n+y6+6+tnNi+TdH9
2a27YsU+Vz5sVrFupUuoW0GpTowr3xhbsYcxtiJQRcJcBYG6v38+Q0UTezSaLnzvOXWpe885
dRe5QYlluPKNsVUbhBNbEakaYa6CQN0Y2xoT/LsKjO3PizUewajY3qc1ueo5xlZsc05sRaCK
hLkKAnVjbIuM8K8yMLYY24p9fVWTq55jbK864+ffMbYiUEXCXAWBujG2RUYYY3tAJPNdsbvP
a3LlG2Mr9jnGVgSqSJirIFD3t7F1efLIie8tr051byWZuovcoMQyXPnG2KoN4nKn2+HhOhjU
LQ5GkbAt3xjbIqTutWzzgoX5rsnxWVXw7cU3xlbkmxNbEagiYQhhESLFMjC2IlCJwzix5Qc0
JG7frtRd72MYW7FdMLYiUEXCXAWBunkUocgI/1MGxhZjW7W3Oan+F4ERz8ZPHis+KRid4gTz
6MkLAU5s6/c5xhZjW7/Lf1foev/mxFbs9BH3L14iZJjrYFB3yHZclhTGdhm0YTbG2GJswzTj
TYm43scwtmKDYWxFoIqEuQoCdfMoQpER5lGEAyKZ76rdfVyXK98YW7HPMbYiUEXCXAWBur8b
2OVLUJz43nLqVPdWkqm7yA1KLMOVb4yt2iAud7odHq6DQd3iYBQJ2/PtMu5OfY6x5VGEInIl
l+E033tQRg4j+fCY3GI5A10Hg7pz9mtv1hjbXuTyrMPYYmzzdOucTF3vY5zYiv0z4v7FS4QM
cx0M6g7ZjsuSgu9l0IbcGL5D0rIsKfheBm3YjUc8Gye2YWmdkxiCMAfHLLvAdxam5uQJ33Nw
zLILfGdhak6ernxzYiv2z4j7Fy8RMsx1MKg7ZDsuSwq+l0EbcmP4DknLsqTgexm0YTce8Wyc
2IaldU5iCMIcHLPsAt9ZmJqTJ3zPwTHLLvCdhak5ebryzYmt2D8j7l+8RMgw18Gg7pDtuCwp
+F4GbciN4TskLcuSgu9l0IbdeMSzcWIbltY5iSEIc3DMsgt8Z2FqTp7wPQfHLLvAdxam5uTp
yjcntmL/jLh/8RIhw1wHg7pDtuOypOB7GbQhN4bvkLQsSwq+l0EbduMRz8aJbVha5ySGIMzB
Mcsu8J2FqTl5wvccHLPsAt9ZmJqTpyvfnNiK/TPi/sVLhAxzHQzqDtmOy5KC72XQhtwYvkPS
siwp+F4GbdiNRzwbJ7ZhaZ2TGIIwB8csu8B3Fqbm5Anfc3DMsgt8Z2FqTp6ufHNiK/bPiPsX
LxEyzHUwqDtkOy5LCr6XQRtyY/gOScuypOB7GbRhNx7xbJzYhqV1TmIIwhwcs+wC31mYmpMn
fM/BMcsu8J2FqTl5uvLNia3YPyPuX7xEyDDXwaDukO24LCn4XgZtyI3hOyQty5KC72XQht14
xLNxYhuW1jmJIQhzcMyyC3xnYWpOnvA9B8csu8B3Fqbm5OnKNye2Yv+MuH/xEiHDXAeDukO2
47Kk4HsZtCE3hu+QtCxLCr6XQRt24xHPxoltWFrnJIYgzMExyy7wnYWpOXnC9xwcs+wC31mY
mpOnK9+c2Ir9M+L+xUuEDHMdDOoO2Y7LkoLvZdCG3Bi+Q9KyLCn4XgZt2I1HPBsntmFpnZMY
gjAHxyy7wHcWpubkCd9zcMyyC3xnYWpOnq58c2Ir9s+I+xcvETLMdTCoO2Q7LksKvpdBG3Jj
+A5Jy7Kk4HsZtGE3HvFsnNiGpXVOYgjCHByz7ALfWZiakyd8z8Exyy7wnYWpOXm68s2Jrdg/
I+5fvETIMNfBoO6Q7bgsKfheBm3IjeE7JC3LkoLvZdCG3XjEs3FiG5bWOYkhCHNwzLILfGdh
ak6e8D0Hxyy7wHcWpubk6co3J7Zi/4y4f/ESIcNcB4O6Q7bjsqTgexm0ITeG75C0LEsKvpdB
G3bjEc/GiW1YWuckhiDMwTHLLvCdhak5ecL3HByz7ALfWZiak6cr35zY7vrny+W//2z/acT9
z2nRZ3ZxHQzqfqbfnroqfD+F/DPXhe9ncH/qqvD9FPLPXXfEs5U6sd0Dsf3/EZCeo3b8ygjC
OIaZdoDvTGyN5wrf4xhm2gG+M7E1nqsr35zYfugdjO3//uc6GNQ9LqqZdoDvTGyN5wrf4xhm
2gG+M7E1J9eRw8hSJ7Z7OPfGdvuYAv/93yMbYAEW9AA9QA/QA/QAPRCpB3otso2x7QWIdSAA
AiAAAiAAAiAAAjkQSGFsz15BfIJ45Bg7B3VkCQIgAAIgAAIgAAIgsEUghbFtpQxT24oY8SAA
AiAAAiAAAiCQH4FyxpYPjOVvSioAARAAARAAARAAgR4EShnbo0cWekBhDQiAAAiAAAiAAAiA
QD4EShnbK/jPfnjD1boK/+74eIYr3651b+fUrd+dOT/6gTwVNPushv0BTuVa9zPtxvVX/Y6z
faTfLTjYGNtPP7yhujC4ioGj0XHu8zffbv3uZuId53rb2471u+qaY91H+t2KA8a2uqv9qc/5
5vd+1WtC9a8y3Xh/1+tUt5uRPzN5zHddBFqNTRUkqPubyVYcMLZVJuCiDqcb/REUjvU71+xc
u4OkbV/AOHLt+GLd9UUrJ/QY21NNb3X81W4OruLverrjeIq37XHXfnepe9/fLnU7mhznml19
y1XdV/POiW01B3tSz1UjVIaB2iuz2/dWVVVEXHr96sZXlV9M3r+nd9W5fr+IczqsuJrvK53D
2Fafip/6rhqhKgyudbudVO/F3+km4Gh2rm58VfXMkeueZywr8u90L7ua7yssMLYVJ+CgpqtG
qAgDb037nW64GXqMzvGJfUU9c+UaY+un4xjbBgXbnuo0LEsf6lj30QleeiKFAhzftjqCxeWF
nONsb1+8cDIviEKREMded+zvM55b+Lc5sS0y25QBAiAAAiAAAiAAAiBwggDGltYAARAAARAA
ARAAARAogQDGtgSNFAECIAACIAACIAACIICxpQdAAARAAARAAARAAARKIICxLUEjRYAACIAA
CIAACIAACGBs6QEQAAEQAAEQAAEQAIESCGBsS9BIESAAAiAAAiAAAiAAAhhbegAEQAAEQAAE
QAAEQKAEAhjbEjRSBAiAAAiAAAiAAAiAAMaWHgABEAABEAABEAABECiBAMa2BI0UAQIgAAIg
AAIgAAIggLGlB0AABEDABAHHnz1vQi1lggAI/CCAsaUVQAAEQMAAgS9Tyy8QAAEQqI4ASled
YeoDARCwR+B9Uou5tW8FAACB8ghgbMtTTIEgAALuCGwNLebWvRuoHwRqI4Cxrc0v1YEACIDA
/zC2NAEIgIALAhhbF6apEwRAoBwCR6evR48dYGzLUU9BIAACJwhgbGkNEAABEAiIwNUjA0ff
cLBfsze0V3sGhIGUQAAEQKAJAYxtE1wEgwAIgMA9CCgm9JOR/cpS2eOeargKCIAACNyDAMb2
Hpy5CgiAAAjICKjfYoCxlSElEARAwAQBjK0J0ZQJAiCQCwHltBVjm4tTsgUBEFiPAMZ2PcZc
AQRAAASaEcDYNkPGAhAAARD4H8aWJgABEACBgAhcncZ+pXwVo5jjgKWTEgiAAAh0I4Cx7YaO
hSAAAiCwDgHFlGJs1+HPziAAAjkRwNjm5I2sQQAEiiNw9HVe25LPPmCmfvCsOHyUBwIgYIoA
xtaUeMoGARAAARAAARAAgWoIYGyrMUo9IAACIAACIAACIGCKAMbWlHjKBgEQAAEQAAEQAIFq
CGBsqzFKPSAAAiAAAiAAAiBgisD/BwDKo6efUYwZAAAAAElFTkSuQmCC</item>
		<item item-id="27">iVBORw0KGgoAAAANSUhEUgAAAHIAAAAqCAYAAABvAA/nAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="28">iVBORw0KGgoAAAANSUhEUgAAAEgAAAARCAYAAAB+bOp4AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AT5JREFUWEftl7ENwjAQRcNO1JTsQEWblo4iBQNkmvTZIStkg2xgdBFGjnPf/naQAMVIUST7
fLbffX+TgzEPU5UfJiCAyoMZVAVOWCAFUOQEQUDjeBNvMvL2VSbt9vmEApl8KIYZa9cosanr
hYCa5jRDqOujmjRnMm1xfh4tL4phxrpz5qxZBSSq6bqLGYZ6hiRvTUWp1fgmIAsnFZIKyFUN
OkqpEyGYjApCMezG2biVEPwGUYuox7YjFYUAub4Q84itgF7/44LewswBC+h3aJ6jqeifFKQV
jLWHxRET5fT9dVUNe6O5yvoFBTHKQOtkC7wAhG4soS19knSa7jNAdoJYpXI2ifyEuQFTr/w3
IFEH8g63vW3Pi7gYAKYf+ZS74VBM6CJB9oDGRE2a2dCeYsqnRu6nxp5UEtprUVBEQU/0oGh7
ZqWQJAAAAABJRU5ErkJggg==</item>
		<item item-id="29">iVBORw0KGgoAAAANSUhEUgAAAFYAAAAlCAYAAADY4B6YAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AcFJREFUaEPtme0NhCAMhu+2dQhHcBr/u4MruIEbeFdyGMQWWwKciS/JRSPl6+GlFO69fdML
qTwBAotUnsCrfJWo0XkBYKhDAGCVXJdlob1oo2ec6Lv/+TyAVYLt+97B67qOLUF5YQJYBVhS
6TiO2zzPDi49OdUCrAJmaBKqNF7y+9KHYm1USZ2kVp8k1cIV2LiyPpVTLcAawJJSp2k6lfAR
QqhkgDWAlSIAqoLyCOa6rq5GgFWCJTWG8an0PgzDwe4Ux3JBrrIPTczu3r9T+HWIvaKQoQkx
QyPxcjMUbW56OCDcveN37594QGjV8dx2css1lyttZv90BdKGIIF4FNiWg81tK2cCNRFBql4o
tpKf+CtY65hyFWttp4T9Dpa9rP2FX+HZ+HTCCEI0nyfdAEk3QZqBSHHsXeNb8T427jAHN/4W
A62tsNQkayarpk3yojvsuPWdOz+XHgjAlib6q681WIvbgWKVk26dxGwfm4rzvBu42sSUY0qa
WVRUoj3tBow/EzNpX23MAJsB9gqqW7EZ9T6+CMBWkIAGKhRrBC/F8lw1cAVKuFwUlCoKsEqw
VjOAtRJT2gOsEpTVDGCtxJT2H6IHBxJVx7GlAAAAAElFTkSuQmCC</item>
		<item item-id="30">iVBORw0KGgoAAAANSUhEUgAAAFAAAAAWCAYAAABXEBvcAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ASRJREFUWEftmI0KwyAMhLs335u7tcyhISZnoqKQQWGbf8nn5Wz7SumdrvjYCdwA47IzuAKe
Hd5TvQFwEMCvCdxe+Fy7QpXi0+JHcrPkXinQMsEq2FJstE373YrZkv8RALXEJGDa2Awz90P7
/8eVu9E7eIX6ysRa8bUAImOPBFj6Va93cRAlgGVb7wYgAnGX8GzVon5GN+X3gFAdiBJAbvwS
gMgitE+vAntsRlIcol5a0lp+bgVqC3jbUQUiipsKkPMizoSREy/P5YVXqoGbEzkkJI9ttWm+
XFWEdE9UBk2/5x2nSSCmPQrsDvOIj3ItGMj/XEntkPDoGAKg821UAJwFkBop54fS7UiPEY8u
q5XzxeusWQpcuYsnrxUKDAX63ih71f8BtM5XzMDnJJAAAAAASUVORK5CYII=</item>
		<item item-id="31">iVBORw0KGgoAAAANSUhEUgAAAGAAAAAWCAYAAAA/45nkAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="32">iVBORw0KGgoAAAANSUhEUgAAAFEAAAAWCAYAAAC40nDiAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
ASBJREFUWEftmG0PwiAMhOc/95+jm5npmpY7oDHgarIPhpe1D9eD8SjlWbb8jRHYIeYzxmBL
gGMAj0pOiIEQ36awe+PxzAZWxlaLkckB5YfaLTYXJfZM8AvgOi4rTrYPyhG1LwtRBu4liSCe
7TVITJ+E+DnOuXa1HETL55hS6lGiHNMzHlnWEp54JsGoSPdFZS7764VF8L5jGb9hJ2vp16PE
Xohod2fV6eX390rUiTM7O6P8i/gsOVslUTNdfXaT/3Vbi1qZKtF+h95nlbc1RqoXxex+sehJ
NBhrtSwDZzYLFOTs7dXPPm9Xa1nN2QFExDcMsXZ8uIMK4QUEo0TU5w4guz3RM/Sal0aUzoxz
5FVYwKV0QkyI4xeqEfaQSgxQ4gvKRKsFGVsrFQAAAABJRU5ErkJggg==</item>
		<item item-id="33">iVBORw0KGgoAAAANSUhEUgAAAZYAAACICAYAAADEU83JAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="34">iVBORw0KGgoAAAANSUhEUgAAAF0AAAAWCAYAAACi7pBsAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="35">iVBORw0KGgoAAAANSUhEUgAAALcAAAA3CAYAAABO3ttHAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="36">iVBORw0KGgoAAAANSUhEUgAAACgAAAAWCAYAAACyjt6wAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AQpJREFUSEvtld0NwyAMhNNtGSIjZBre2SErsEE2SHuoVCQ5YxBBpVL9AgGEP84/eewvm0Y2
AI5s08hwIbo/C+i9R27uGHsY7j4bXZOcz/McAI0xt/OdQdLvyx7zDtWstfu6rgES411WotwB
mDlOVcNh9uJ0Pc6Z8/R+CU7yQYsEakG9aJKKuTBJaksPyKl6yVSWc+yF7wYfWDTlInAzIJRz
zl0EiBWdKvsVwFzFYg8KbNt2eECpejml4x2smj8hhjppskvzZVmKAFnh5EIs5XSXP0lNn2MF
pbaZ1p6nVXguLYoadW9AKR9pu2mF0UJU04boXT0AI5TUP2t8dimSGgDt7B9QU0jbH17BJ08L
CjEESPwHAAAAAElFTkSuQmCC</item>
		<item item-id="37">iVBORw0KGgoAAAANSUhEUgAAAM4AAABSCAYAAAAcu+v8AAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
BY9JREFUeF7tnYuS0zAMReH/PxrapQHj9UOSX1JyOsMMtH7IR/daTtJlf/56vX7wggAEdATe
xuEFAQjoCPzQNac1BCDwdUoDAwQgoCegNs7rIPi+Jir+0U9PDwjEJGAyzrXUt4FKf4+Jgqgh
ICegNk46dGoc+ZS0hEB8Ahgnfg5ZwQECGOcAdKaMTwDjxM8hKzhAAOMcgM6U8Ql0jZPees6X
y82B+AJgBTYCTeNcxrjMk99RK73/btMymy1MekHAFwGRcTQhjzzboYJpSN+3bQQdVI1jDb5W
hXppts7XG5fPYxLwrofpxrnSpDGQd0gxpRc/as+6mG4c7VHNM5z40ou/Aq/6WGKcSNXGa2Li
S37OCrzmZ7pxNLg8QPEQg4bZE9t6zNGjjcNt8xg2xDhZnnYDKRlldwwxpOorSo85OlZxdsOo
PczdHYcvScaJxlueHmecXCreEhJHynsj9ZanRxinBd1bQvbKMc5s3vKEcT7/f0IcCT0zUozz
ybsWhLZ9Kq+Rvs+Uqb9Ve8thiIqjeaBaSrk36P5k6T8ibzkMYZx3WkfAjfT1L6lnROgthxjn
GboLv0qMwzVOeBGfWADGwTgndBd+ToyDccKL+MQCMA7GOaG78HNiHINxRr/F7A16eBUfWIC3
HIa5qzaSqxHolr6lPrPGGeFw9c03otGNaUZMvTGk/KTtevPln39jVhtgVQBp8rTBW9uvXksa
Vz5X+m9NHPlDX01fCadWnJL+u9tI1r+KWYkVFWeiAiSVRiKA0uYi7WdtJ+03EZdqKGl81o2q
FQzGUaXqT2NLwmpHIkm1TXfNa27NUcoar7SfAeGULq34LMxSpj2+GEeZwrz0a3allklqIsh3
S8vuqTFAakwlmu3NZzO7rXFqC6vtDr0dyZrp4m6T/ChCT3yS41vNZFLjtFhJzK4xm5XjaD+J
cfITwqx1UXEM2WuJt3REyKfYYZzWzYnZxpklRm0qZhvnthVHC1YiEMuY0orSS6ykepSOavn8
PeH2PpcYexVLC//edaGVGcYRZEMrptLFfW+MlnFKpb4Wdq2Kpe/PFHbviNsTZi7AnF2pGrbG
bHFZxUwgoW+/gYPb0RJqrzY94+Tna4sAhKFsaVarkNb3U4NJrulGK+NqSBhHSFhinJ55pGMI
Q1reTCL20ppbVahUgXrHsR7X5SAKE4QwTp5ArQC17UuJ6F3DtAThMfE9sUkqi7Zy9I6svWNj
L+adn7s3Tgm21gja9tJj1qxxdyZcOlfPONfnpXa9vlrDedx4XBtHs8u3BDFT4KXji1SM0dqV
jlzpTYr889JFf2qStG/vfa5xKmqRiFnSRiLGWeNI5qLNGgLechiy4mhT4w26Nn7ay+5q7uSE
cXbSZi4zAW+bX0jjaCFq25uzS8dlBLzl0LVxSndTLAAtfZYpgIFNBLzl0L1xLvOU7shIMuAN
uCRm2nwn4C2PIYwzIqQS8CfdUh5h56kvxvlkYyWIljHyeVfG4Ul40WPxlqdbVhyME90mHNWq
GTy1g1BxYprqlF5qtI5VnNIdsx0pxTg7KM+dw5tpvrRbddTr5+pXv04AwTirszp//BM66a0C
42zYIHpJ4PM2AYxT4LMbChUnlk1360NK52jFOXmdY32gKgVLuzkEME6Do1c4c1LPKFYCnnVx
vOJcUD1DsiaefnYC3vXgxjinjm321NJzFQHvpjl+O3oVeMaFwGoCrirO6sUyPgRmESgaJ0Kp
nAWAcSBgISA2Dl/Ft+Clz10J/DUO3yi+a4pZ1woCGGcFVca8PQHRNzn5msrtdcAClQQwjhIY
zSHQfI6T4qHiIBYI/E+AioMiIGAggHEM0OgCAZFxvs50n9+0zMNRRAOBxo9OAwcCEKgTEFcc
IEIAAv8IYBzUAAEDAYxjgEYXCPwGFcRfeKff4NIAAAAASUVORK5CYII=</item>
		<item item-id="38">iVBORw0KGgoAAAANSUhEUgAAALMAAABSCAYAAAAfDOXUAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="39">iVBORw0KGgoAAAANSUhEUgAAAHYAAAAqCAYAAABm66+dAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="40">iVBORw0KGgoAAAANSUhEUgAAAJcAAAAeCAYAAAAhIIxpAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
AjdJREFUeF7tmYFuwzAIRLv//+itrdbJYWCOGFxSXaSq0uRgOJ6Bel/f9+fGhwpUKPCAiw8V
qFDgVmGUNqnAsyNSBipQpQDhqlL2YnbvI9dj9n5+sp48S1ke0c52BTKBGp0nXNtT2W/D7Ir1
ipBw9cv12zzKrmCE622p7LlxJmCEq2eOl70aB/TIsE64lqWnAUsBwkU2ShTIBOtwiSpLZ6SU
lkS60Wg01jEJ1rtRm2i4GgAre3nvrnBxmLmk49kkowLuXBeNefzZbr0btYnGq10ZVO11uK8S
F6soF4QrINxLVPn9d6/za6sy4Z5tNPEo0M/2FtDIvEQ9ayTiaMe1FizS12y4rBY308jLUVu4
RkornMwEa5wFvLkB2deLV85ZsxPtAWC1HM8HpIogNhA9vIOF2Ph3z4WeYsR4lzUeiF7MM1ik
7bFFotBrsxR6VRABeSUfnkaa7RS4qk6L1x40aKICIsnx4NQqipzDkFgQ3z1/q3KRAtdMKPQ0
ISJ1WeMlSz2R4ICLJFprtx6IVls9k7tIHpB4Dr4h4slgpCBjWZ9VE638aycCbScRYbyEzXyb
zR+a4Gibs96dHWLLT3TPFc1S4EIqlHXiIn/XIDpTSVYE47t1CoT/cY0AoZVnWdGsmYRw1SV7
t+UQXEhVQqFB10VL8W4BuZ+tQCpc1vwkK9lsiGXl+hxcQ3C9IJGt8exAbw3uuwf6z0lnr0jC
cPVyn950VoBwdc7OxX0jXBdPYGf3CVfn7Fzctx/FBeqa9fkQIwAAAABJRU5ErkJggg==</item>
		<item item-id="41">iVBORw0KGgoAAAANSUhEUgAAALkAAAA3CAYAAABQF+v0AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="42">iVBORw0KGgoAAAANSUhEUgAAAIMAAAA8CAYAAABFAQnGAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="43">iVBORw0KGgoAAAANSUhEUgAAAHQAAAAWCAYAAAARprh2AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="44">iVBORw0KGgoAAAANSUhEUgAAAEMAAAAqCAYAAADoMebhAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="45">iVBORw0KGgoAAAANSUhEUgAAAIIAAABWCAYAAAADrE7EAAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
		<item item-id="46">iVBORw0KGgoAAAANSUhEUgAAAVEAAAAxCAYAAABj9ZqsAAAAAXNSR0IArs4c6QAAAARnQU1B
AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA
CGRJREFUeF7tXUtSHTkQnDkg9+AQHIET+ALs2bNmy5all95xA0zZI0bIkjJLv5La1RGOACTV
J7OUkrr7Pf/7/nH945cj4Ag4Ao5AGwIion45Ah/V4yAQCDhOBEgHdkG81tp95hxI+OiQUQGN
9neqPcfpVOa4uBG/pXYXUQ7fy/ZChXPZxJWJOU5KwA7tjnjOtbuIHkr2iLBRwYzwcQUbI3ES
W+HfFbC5Yg6I77TdRfSKVUDmhIqFNHP5bqNw+mPy+X3oLWsH8e0iuiVt64NChbI+oj09zsRp
pu090TwnKsRN3O470XN4HRopKpKhzg42NhOnku23t7fPI398/A8/f//+/WBEzwgd8e4iegaP
U6NERTLV+UHGZ+FUs3t/f//+8vLyLmIqP8s1K46DqFgaKsLbRXQpHfs5QwWyX8Q2Ec3EqXZ/
NOw0RUivJqKvr682ZEZe2RgQ/6Hdj/PmlNYDuL29rR7tcse9+G8566g4whi23yoIV8czyx9r
9/Hx8YuIspN/FR9aP7KzloXB+hIcJRZ0IZ5cRBGCm7T/+PHj/ebm5peQys/MJUUSxriIMojl
+6BJ1GL5yzEQPJ2XviKkcsliKv9OvkIuO+Tw9PQEw0D8u4hCCPfpIKIohIkwMiuoRC4rfqkI
UHH4TvQ3AixObKXkTg21sdI/HO1DDbC+duz37du3bcJ6eHiAsSD+txLRXLAoAYhApUPpCIwK
OowLEyz+vSceZuzz8/OvSX13d8d0r4oAiy3bjwkod4sB3XZI7Y6Mh42Z6ed9MAJyimJ2f9jS
/wtcOv809SSxoJMdqrdtRDQNVHPcYQHP9WsR7lqsPbGwY2X1lBh6V3RUHLN2oi2Yx9iwcbN4
on6r/aF42PYd4xbRGn0/tKeeZIcvGxO0cWLaTR8sMSDMKoiS3Zq/0SLakpvsRGVcz/0l1i/b
r2dya3xo+rIxMZNkhK2VNlic2H4jYpeFf/T7rYx+lGKXWNCRHuHzx0403QprtsYtIJcACH7Z
HQhKtBTbqSIq+YQn9q0rO4tZjaORnLO2NHGX6ij3d/Gfq3fk73MS/fd5eDaPmf008xbll87B
0iYi/nvsP8ZaXtXKHZ9LfDAY9Yho/A6uViPSk9qXnWgJJCYhbR+NiDFk58irjdP4zwk6ExPC
pNVGyxN7dlGq9UsnC8ovbddylBuPfJZirNU2OyYnKr2YoHxa2tm6aumXLhy1/OM2eSha45ON
pcSBZvEINnIxaebJJxalxNik0MRIk4tJyBVIz+qiKThGRGuxsPiwQqK11/LEPl1BEV6l/AOn
2vG93DLjGV4l7nTyM7aRqCNBKc2Vlr+zi92o+suJVG1hymFcmu871ZOJiKZgxb/nQJ4lokjM
0QRgBQbFj4RFQxKy1fLEPsdXyU9tkmhFv+RXY4fp2yKiMfc1IUQ1xMSHOB3RzsbR0g/hkxNb
hns2FjR/NHZQX7Y9+2AJDUbFVBMkJEK5dm08TCG27DxYoWX8a8SsZk/uNaEb5CxfqB+aQCjv
HsxZvEoxsguCJke0E0N4zGpHc0xbxy2YolpK+WyZ47PrCcX0iXOOyNpqHlaa0oqQKyxNssg+
Qw4qzni1LK2cNRs1cDX2EEkoD7k3qnlvtGfypLu1HE8Is3SMBitWREO/Us2V6qul7uIx2lwQ
tz3tLDea+ivNmVRg036o5kr9Uf45vLUcoPzZdvoVp5w4aiaWtkgR+Ahki/a0oGbGIE8XWwRU
K0Yzc9DaRkWttYf6r/aH4tm9vbZZQg9xLHJDMSH+Q/swEWVFrybGI3aZFmSki8mKGEqvjDC+
UXGwXKa7PtZuKcZ0Z2ddD735MFxcqU9NRKVemfdEUQ1o8EK2wjdk1eqx5m+aiMZOa6C29NMA
aNmXPU61xij3QFvfEZ2xE0XFqsmzZmu1qM3yxxyNNZjt1Ld0PJeaZUR01cIssaBP/iH+l4mo
Zue5UzG0xLLiOC8fn+v9DDIqDs1ONBVl1jaz+lvXTm8u2hxn+Wup5dFj5E0S9DHLXN31YlKa
k2Yf+4xXmfQIW9t15saNJmkHe7PzlN2n5km83DdFLzkzxxWE7cjFo2ard0KhPCxuH6zOSYvB
qP7yEJT9qPKKerrUF5CMIunqdqQI0T2cFAMplNwYduK29GPHaHdpmtsQo2qhNxcmjhU+mDhW
9GE3ACtElBF0xI36OL8CZPdRRkDzJF52oCKgQnKuWFBxaI7z6e47/N7CJbLFxt3iOzdmhb8V
Pkbh0WuHFa64hmbVE3NLDHHjItpbEQvHh29uikWG/Tn3AAoVh0ZEF8Iw/EuSUewsTsjOiFsm
PT52GSuL+w7/xUn4TwARLoh/F1GE4Cbt4TtEWdFM++WeiKLicBH9jQCLU0+prPDRE9/osTuI
KBsD4sZFdHR1HGQPFYeLqIvoQeU8LVQ0T1xEp0G/v2FUHPtnsCbC2Til94DTrFD7GhT+Xi+I
fxfRv7c2lh1VrwAxmkizcoz9WsUwK7cT7CLMv/BzQkIe43gEUJGM93imRSucep5Kn4n0XlEj
3l1E9+LLJBpUJCZBbejUGicXU5uiQLy7iNrwsp1XVCjbBWwUkAVOfpw3IvvDLeI7bae/xcku
Jfc8CwFULLP8nmbXAid/qGRXJYhvF1E7brb0jApmy6ANgnKcDEA3cIl4zrX7TtSAqF6X8X0y
RDrja4QNxs/pfRyn0xmsx4/4LbW7iB5aFy6kNsShiWYTlXvtRQDxWmt3Ee1F32i8P3gwAt7d
OgIJAi6ih5aEi+ihxHnYl0PARfRQSl1EDyXOw74cAi6iB1Kavv7iL2QfSKKHfBkEXEQvQ6Un
4gg4AhYIuIhaoO4+HQFH4DIIuIhehkpPxBFwBCwQcBG1QN19OgKOwGUQ+AkL6VFDsZO6WwAA
AABJRU5ErkJggg==</item>
		<item item-id="47" content-encoding="gzip">H4sIAAAAAAAA/2xTTU8TURS9b2Y60w6FlmLFdsAipYrWYn0xCrhBQgiJX0n9AWRoR6gRW8tA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</item>
		<item item-id="48">iVBORw0KGgoAAAANSUhEUgAAAqMAAAISCAYAAAD4Cca4AAAAAXNSR0IArs4c6QAAAARnQU1B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</item>
	</binaryContent>
</worksheet>