Mathcad Professional 14.0 <description/> <author>chris</author> <company/> <keywords/> <revisedBy>chris</revisedBy> </userData> <identityInfo> <revision>3</revision> <documentID>6F36143A-D6E3-4C8A-9A9C-2103BF99ED66</documentID> <versionID>0C2DD7B8-20E7-4871-AA4E-B8BDE9E0B430</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="0" text-align="left" list-style-type="none" 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> </textStyles> </textRendering> <mathRendering equation-color="#000"> <operators multiplication="dot" derivative="derivative" literal-subscript="small" 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="normal" 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="normal" 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="10" font-weight="normal" font-style="normal" underline="false"/> </mathStyles> <dimensionNames mass="mass" length="length" time="time" current="charge" 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="false" simplify-units="false" fractional-unit-exponent="false"/> </results> </mathRendering> <pageModel show-page-frame="false" show-header-frame="false" show-footer-frame="false" header-footer-start-page="1" paper-code="9" orientation="portrait" print-single-page-width="false" page-width="595.5" page-height="842.25"> <margins left="42.51969" right="42.51969" top="34.01575" bottom="34.01575"/> <header use-full-page-width="false"/> <footer use-full-page-width="false"/> </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="0.005" random-seed="1" prn-precision="4" prn-col-width="8"/> <calculationBehavior automatic-recalculation="false" matrix-strict-singularity-check="false" optimize-expressions="false" exact-boolean="false" strings-use-origin="false" zero-over-zero="0"> <compatibility multiple-assignment="MC11" local-assignment="MC11"/> </calculationBehavior> <units> <currentUnitSystem name="si" customized="false"/> </units> </calculation> <editor view-annotations="false" view-regions="false"> <ruler is-visible="false" ruler-unit="in"/> <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="1291" 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="1033" left="108" top="11.25" width="284.25" height="15.75" align-x="108" align-y="24" 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="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <f family="Arial" charset="0" size="14"> <b> <inlineAttr line-through="false"> <c val="#000080">Impedance Transformer</c> </inlineAttr> </b> </f> </p> </text> </region> <region region-id="1034" left="312" top="38.25" width="169.5" height="24" align-x="312" 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="true"> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <f family="Arial" charset="0"> <b> <inlineAttr line-through="false"> <c val="#000080">Chris Haji-Michael www.sunshadow.co.uk/chris.htm</c> </inlineAttr> </b> </f> </p> </text> </region> <region region-id="1032" left="12" top="74.25" width="474" height="60" align-x="12" align-y="84" 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="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">This sheet is used to design an impedance transformer that is very small for its performance.<sp count="2"/>The equations are from </c> <f family="Arial" charset="0"> <b> <inlineAttr line-through="false"> <c val="#000080">Ang, Lee, Leong, "Broadband Quarter-Wavelength Impedance Transformer, IEEE MTT Dec 2004</c> </inlineAttr> </b> </f> <c val="#000080">.<sp count="2"/> </c> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"/> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">Yellow is user input, Green is output</c> </p> </text> </region> <region region-id="1235" left="42" top="162" width="396.75" height="192.75" align-x="42" align-y="162" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <picture> <png item-idref="1" display-width="395.25" display-height="191.25"/> </picture> <rendering item-idref="2"/> </region> <region region-id="828" left="6" top="392.25" width="423" height="39.75" align-x="96.75" align-y="414" 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">Y11</ml:id> <ml:boundVars> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> <ml:id xml:space="preserve">Yo</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:mult style="narrow-dot"/> <ml:imag symbol="j">-1</ml:imag> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">cos</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> </ml:apply> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:pow/> <ml:parens> <ml:apply> <ml:minus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:real>2</ml:real> </ml:apply> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:apply> <ml:id xml:space="preserve">cos</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="auto-select"/> <ml:parens> <ml:apply> <ml:minus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:plus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:pow/> <ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:parens> <ml:real>2</ml:real> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="auto-select"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> </ml:apply> </ml:parens> <ml:parens> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> </ml:apply> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:define> </math> <rendering item-idref="3"/> </region> <region region-id="832" left="6" top="452.25" width="371.25" height="33.75" align-x="96.75" align-y="468" 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">Y12</ml:id> <ml:boundVars> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> <ml:id xml:space="preserve">Yo</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:mult style="narrow-dot"/> <ml:imag symbol="j">-1</ml:imag> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> </ml:apply> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:minus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:parens> <ml:apply> <ml:minus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:plus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:pow/> <ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:parens> <ml:real>2</ml:real> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="auto-select"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:define> </math> <rendering item-idref="4"/> </region> <region region-id="835" left="6" top="500.25" width="371.25" height="33.75" align-x="96.75" align-y="516" 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">Y21</ml:id> <ml:boundVars> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> <ml:id xml:space="preserve">Yo</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:mult style="narrow-dot"/> <ml:imag symbol="j">-1</ml:imag> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> </ml:apply> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:minus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:parens> <ml:apply> <ml:minus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:plus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:pow/> <ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:parens> <ml:real>2</ml:real> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="auto-select"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:define> </math> <rendering item-idref="5"/> </region> <region region-id="841" left="6" top="554.25" width="371.25" height="33.75" align-x="96.75" align-y="570" 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">Y22</ml:id> <ml:boundVars> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> <ml:id xml:space="preserve">Yo</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:mult style="narrow-dot"/> <ml:imag symbol="j">-1</ml:imag> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">cos</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">Yoo</ml:id> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> </ml:apply> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:plus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:apply> <ml:id xml:space="preserve">cos</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:apply> <ml:parens> <ml:apply> <ml:minus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:parens> <ml:apply> <ml:plus/> <ml:apply> <ml:plus/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoo</ml:id> </ml:apply> <ml:id xml:space="preserve">Yoe</ml:id> </ml:apply> </ml:parens> <ml:apply> <ml:pow/> <ml:parens> <ml:apply> <ml:id xml:space="preserve">sin</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:apply> </ml:parens> <ml:real>2</ml:real> </ml:apply> </ml:apply> <ml:apply> <ml:mult style="auto-select"/> <ml:real>2</ml:real> <ml:id xml:space="preserve">Yo</ml:id> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:apply> </ml:parens> </ml:apply> </ml:define> </math> <rendering item-idref="6"/> </region> <region region-id="1031" left="6" top="635.25" width="435.75" height="57.75" align-x="110.25" align-y="666" 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">Yin</ml:id> <ml:boundVars> <ml:id xml:space="preserve">Zoo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Z2</ml:id> <ml:id xml:space="preserve">θ</ml:id> </ml:boundVars> </ml:function> <ml:parens> <ml:apply> <ml:minus/> <ml:apply> <ml:id xml:space="preserve">Y11</ml:id> <ml:sequence> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoo</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoe</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zo</ml:id> </ml:apply> <ml:id xml:space="preserve">θ</ml:id> </ml:sequence> </ml:apply> <ml:apply> <ml:div/> <ml:apply> <ml:mult style="narrow-dot"/> <ml:apply> <ml:id xml:space="preserve">Y12</ml:id> <ml:sequence> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoo</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoe</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zo</ml:id> </ml:apply> <ml:id xml:space="preserve">θ</ml:id> </ml:sequence> </ml:apply> <ml:apply> <ml:id xml:space="preserve">Y21</ml:id> <ml:sequence> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoo</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoe</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zo</ml:id> </ml:apply> <ml:id xml:space="preserve">θ</ml:id> </ml:sequence> </ml:apply> </ml:apply> <ml:apply> <ml:plus/> <ml:apply> <ml:id xml:space="preserve">Y22</ml:id> <ml:sequence> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoo</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zoe</ml:id> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Zo</ml:id> </ml:apply> <ml:id xml:space="preserve">θ</ml:id> </ml:sequence> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Z2</ml:id> </ml:apply> </ml:apply> </ml:apply> </ml:apply> </ml:parens> </ml:define> </math> <rendering item-idref="7"/> </region> <region region-id="1232" left="6" top="785.25" width="481.5" height="75.75" align-x="15" align-y="798" 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="center" list-style-type="inherit" tabs="inherit"> <f family="Arial" charset="0" size="14"> <b> <inlineAttr line-through="false"> <c val="#000080">Calculations</c> </inlineAttr> </b> </f> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">The calculations are done using the Find command where convergences is helped by setting CTOL=0.05.<sp count="2"/>After convergence, put the the output results back to the guess values and repeat the convergence until the two are the same, then change CTOL to 0.0005 and converge again.<sp count="2"/> </c> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"/> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <f family="Arial" charset="0"> <b> <inlineAttr line-through="false"> <c val="#000080">This sheet is setup so that the calculate button F9 needs to be pressed.</c> </inlineAttr> </b> </f> </p> </text> </region> <region region-id="953" left="6" top="885" width="24.75" height="12.75" align-x="17.25" align-y="894" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">guess</ml:id> </math> <rendering item-idref="8"/> </region> <region region-id="1087" left="48" top="891" width="60" height="12.75" align-x="65.25" align-y="900" 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">Zo</ml:id> <ml:apply> <ml:mult/> <ml:real>154.3</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="9"/> </region> <region region-id="1091" left="48" top="909" width="64.5" height="12.75" align-x="69.75" align-y="918" 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">Zoe</ml:id> <ml:apply> <ml:mult/> <ml:real>153.9</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="10"/> </region> <region region-id="1092" left="48" top="927" width="60.75" height="12.75" align-x="70.5" align-y="936" 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">Zoo</ml:id> <ml:apply> <ml:mult/> <ml:real>39.8</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="11"/> </region> <region region-id="1144" left="318" top="957" width="43.5" height="12.75" align-x="334.5" align-y="966" 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:id xml:space="preserve">Z1</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>50</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="12"/> </region> <region region-id="1145" left="378" top="957" width="48" height="12.75" align-x="394.5" align-y="966" 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:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>100</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="13"/> </region> <region region-id="1102" left="6" top="963" width="24" height="12.75" align-x="17.25" align-y="972" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">Given</ml:id> </math> <rendering item-idref="14"/> </region> <region region-id="1142" left="30" top="986.25" width="143.25" height="27.75" align-x="152.25" align-y="1002" 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">Yin</ml:id> <ml:sequence> <ml:id xml:space="preserve">Zoo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="auto-select"/> <ml:real>90</ml:real> <ml:id xml:space="preserve">deg</ml:id> </ml:apply> </ml:sequence> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Z1</ml:id> </ml:apply> </ml:apply> </math> <rendering item-idref="15"/> </region> <region region-id="1143" left="300" top="982.5" width="141" height="45.75" align-x="384" align-y="1008" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="#80ff80" tag=""> <math optimize="false" disable-calc="false"> <ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:apply> <ml:Find auto-method="true" method="levenberg" derivative-estimation="central" variable-estimation="tangent" linear-check="false" multistart="false" evolutionary="false"/> <ml:sequence> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zoo</ml:id> </ml:sequence> </ml:apply> <ml:unitOverride> <ml:id xml:space="preserve">Ω</ml:id> </ml:unitOverride> <result xmlns="http://schemas.mathsoft.com/math30"> <unitedValue> <ml:matrix rows="3" cols="1"> <ml:real>154.3</ml:real> <ml:real>153.9</ml:real> <ml:complex> <ml:real>39.806638088324732</ml:real> <ml:imag>5.3582555853257755E-15</ml:imag> </ml:complex> </ml:matrix> <unitMonomial xmlns="http://schemas.mathsoft.com/units10"> <unitReference unit="ohm"/> </unitMonomial> </unitedValue> </result> </ml:eval> <resultFormat numeric-only="true"> <general precision="1" 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="false" simplify-units="false" fractional-unit-exponent="false"/> </resultFormat> </math> <rendering item-idref="16"/> </region> <region region-id="1244" left="12" top="1029" width="480" height="12.75" align-x="251.25" align-y="1038" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">___________________________________________________________________________________________</ml:id> </math> <rendering item-idref="17"/> </region> <region region-id="1164" left="6" top="1065" width="24.75" height="12.75" align-x="17.25" align-y="1074" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">guess</ml:id> </math> <rendering item-idref="18"/> </region> <region region-id="1165" left="48" top="1071" width="63" height="12.75" align-x="66" align-y="1080" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zo</ml:id> <ml:apply> <ml:mult/> <ml:real>205.2</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="19"/> </region> <region region-id="1166" left="48" top="1089" width="67.5" height="12.75" align-x="70.5" align-y="1098" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zoe</ml:id> <ml:apply> <ml:mult/> <ml:real>233.4</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="20"/> </region> <region region-id="1167" left="48" top="1107" width="63.75" height="12.75" align-x="71.25" align-y="1116" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zoo</ml:id> <ml:apply> <ml:mult/> <ml:real>54.0</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="21"/> </region> <region region-id="1168" left="318" top="1131" width="45" height="12.75" align-x="335.25" align-y="1140" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Z1</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>50</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="22"/> </region> <region region-id="1169" left="378" top="1131" width="49.5" height="12.75" align-x="395.25" align-y="1140" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>200</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="23"/> </region> <region region-id="1170" left="6" top="1137" width="24" height="12.75" align-x="17.25" align-y="1146" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">Given</ml:id> </math> <rendering item-idref="24"/> </region> <region region-id="1171" left="30" top="1160.25" width="143.25" height="27.75" align-x="152.25" align-y="1176" 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">Yin</ml:id> <ml:sequence> <ml:id xml:space="preserve">Zoo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="auto-select"/> <ml:real>90</ml:real> <ml:id xml:space="preserve">deg</ml:id> </ml:apply> </ml:sequence> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Z1</ml:id> </ml:apply> </ml:apply> </math> <rendering item-idref="25"/> </region> <region region-id="1172" left="300" top="1156.5" width="141" height="45.75" align-x="384" align-y="1182" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="#80ff80" tag=""> <math optimize="false" disable-calc="false"> <ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:apply> <ml:Find auto-method="true" method="levenberg" derivative-estimation="central" variable-estimation="tangent" linear-check="false" multistart="false" evolutionary="false"/> <ml:sequence> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zoo</ml:id> </ml:sequence> </ml:apply> <ml:unitOverride> <ml:id xml:space="preserve">Ω</ml:id> </ml:unitOverride> <result xmlns="http://schemas.mathsoft.com/math30"> <unitedValue> <ml:matrix rows="3" cols="1"> <ml:complex> <ml:real>205.20000173214157</ml:real> <ml:imag>2.2636726238436523E-14</ml:imag> </ml:complex> <ml:complex> <ml:real>233.40000143912315</ml:real> <ml:imag>1.8807374981126613E-14</ml:imag> </ml:complex> <ml:complex> <ml:real>54.018085508465724</ml:real> <ml:imag>8.787228494043042E-16</ml:imag> </ml:complex> </ml:matrix> <unitMonomial xmlns="http://schemas.mathsoft.com/units10"> <unitReference unit="ohm"/> </unitMonomial> </unitedValue> </result> </ml:eval> <resultFormat numeric-only="true"> <general precision="1" 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="false" simplify-units="false" fractional-unit-exponent="false"/> </resultFormat> </math> <rendering item-idref="26"/> </region> <region region-id="1247" left="12" top="1209" width="480" height="12.75" align-x="251.25" align-y="1218" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">___________________________________________________________________________________________</ml:id> </math> <rendering item-idref="27"/> </region> <region region-id="1282" left="6" top="1257" width="24.75" height="12.75" align-x="17.25" align-y="1266" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">guess</ml:id> </math> <rendering item-idref="28"/> </region> <region region-id="1283" left="48" top="1263" width="63" height="12.75" align-x="66" align-y="1272" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zo</ml:id> <ml:apply> <ml:mult/> <ml:real>258.2</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="29"/> </region> <region region-id="1284" left="48" top="1281" width="67.5" height="12.75" align-x="70.5" align-y="1290" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zoe</ml:id> <ml:apply> <ml:mult/> <ml:real>233.4</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="30"/> </region> <region region-id="1285" left="48" top="1299" width="63.75" height="12.75" align-x="71.25" align-y="1308" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Zoo</ml:id> <ml:apply> <ml:mult/> <ml:real>80.0</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="31"/> </region> <region region-id="1286" left="318" top="1323" width="45" height="12.75" align-x="335.25" align-y="1332" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Z1</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>50</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="32"/> </region> <region region-id="1287" left="378" top="1323" width="49.5" height="12.75" align-x="395.25" align-y="1332" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define warning="WarnRedefinedUDScalar" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="narrow-dot"/> <ml:real>280</ml:real> <ml:id xml:space="preserve">Ω</ml:id> </ml:apply> </ml:define> </math> <rendering item-idref="33"/> </region> <region region-id="1288" left="6" top="1329" width="24" height="12.75" align-x="17.25" align-y="1338" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">Given</ml:id> </math> <rendering item-idref="34"/> </region> <region region-id="1289" left="30" top="1352.25" width="143.25" height="27.75" align-x="152.25" align-y="1368" 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">Yin</ml:id> <ml:sequence> <ml:id xml:space="preserve">Zoo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Z2</ml:id> <ml:apply> <ml:mult style="auto-select"/> <ml:real>90</ml:real> <ml:id xml:space="preserve">deg</ml:id> </ml:apply> </ml:sequence> </ml:apply> <ml:apply> <ml:div/> <ml:real>1</ml:real> <ml:id xml:space="preserve">Z1</ml:id> </ml:apply> </ml:apply> </math> <rendering item-idref="35"/> </region> <region region-id="1290" left="300" top="1348.5" width="141" height="45.75" align-x="384" align-y="1374" show-border="false" show-highlight="true" is-protected="true" z-order="0" background-color="#80ff80" tag=""> <math optimize="false" disable-calc="false"> <ml:eval placeholderMultiplicationStyle="default" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:apply> <ml:Find auto-method="true" method="levenberg" derivative-estimation="central" variable-estimation="tangent" linear-check="false" multistart="false" evolutionary="false"/> <ml:sequence> <ml:id xml:space="preserve">Zo</ml:id> <ml:id xml:space="preserve">Zoe</ml:id> <ml:id xml:space="preserve">Zoo</ml:id> </ml:sequence> </ml:apply> <ml:unitOverride> <ml:id xml:space="preserve">Ω</ml:id> </ml:unitOverride> <result xmlns="http://schemas.mathsoft.com/math30"> <unitedValue> <ml:matrix rows="3" cols="1"> <ml:complex> <ml:real>258.34408347588175</ml:real> <ml:imag>8.2709118491033516E-10</ml:imag> </ml:complex> <ml:complex> <ml:real>233.47448126609999</ml:real> <ml:imag>4.2754937720429555E-10</ml:imag> </ml:complex> <ml:complex> <ml:real>75.514420986188185</ml:real> <ml:imag>-3.1777701146772124E-10</ml:imag> </ml:complex> </ml:matrix> <unitMonomial xmlns="http://schemas.mathsoft.com/units10"> <unitReference unit="ohm"/> </unitMonomial> </unitedValue> </result> </ml:eval> <resultFormat numeric-only="true"> <general precision="1" 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="false" simplify-units="false" fractional-unit-exponent="false"/> </resultFormat> </math> <rendering item-idref="36"/> </region> <region region-id="1291" left="12" top="1401" width="480" height="12.75" align-x="251.25" align-y="1410" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:id xml:space="preserve" xmlns:ml="http://schemas.mathsoft.com/math30">___________________________________________________________________________________________</ml:id> </math> <rendering item-idref="37"/> </region> <region region-id="1233" left="6" top="1559.25" width="491.25" height="75.75" align-x="6" align-y="1572" 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="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <f family="Arial" charset="0" size="14"> <b> <inlineAttr line-through="false"> <c val="#000080">Simulations</c> </inlineAttr> </b> </f> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">50 Ohms to 100 Ohms, Zo=154.3, Zoe=153.9, Zo=39.8</c> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">50 Ohms to 200 Ohms, Zo=205.2, Zoe=233.4, Zo=54.0</c> </p> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"/> <p style="Normal" margin-left="0" margin-right="0" text-indent="0" text-align="center" list-style-type="none" tabs="inherit"> <c val="#000080">Please refer to other MathCAD sheets on this site to convert from Zo and Zoo/Zoe to microstrip widths and spacings.</c> </p> </text> </region> <region region-id="1248" left="90" top="1650" width="312.75" height="236.25" align-x="90" align-y="1650" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <ole clsid="{D3E34B21-9D75-101A-8C3D-00AA001A1652}" type="embedded" item-idref="38"/> <rendering item-idref="39"/> </region> <region region-id="1242" left="96" top="1944" width="286.5" height="350.25" align-x="96" align-y="1944" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <ole clsid="{D3E34B21-9D75-101A-8C3D-00AA001A1652}" type="embedded" item-idref="40"/> <rendering item-idref="41"/> </region> </regions> <binaryContent> <item item-id="1">iVBORw0KGgoAAAANSUhEUgAAAg8AAAD/CAIAAAD5SqLFAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA HidJREFUeF7tnb1P3kjXh/epV5FotqEJHUqHlD7afwAJbZmKKjUR/wDNlmhp01GsKFdINCmj rSnoVnSkoUZC1Dy/J0fr16/vG+7j8cx4xnO5iO6YM1/XHJ+f58P2f56fn3/igAAEIAABCLxO QGrBAQEIQAACEHidwE8AggAEIAABCGwkgFpsRIQBBCAAAQg8oxY4AQQgAAEIbCaAWmxmhAUE RODDhw8nJydf/j2Oj49//vnnb9++AQcCjRBALRrpaJo5icDNzc39/X2XxcPDw87Ozunp6aRM SQyBqgigFlV1F5WdiYDkoV/yrz+OmepCsRCYhwBqMQ93Sq2XwNHRkQYWA/2otznUHAJOAqiF ExRmEPgfAS1d7O7u3t7eggMCrRFALVrrcdobTuD8/Hxra0trGOFZkBIC1RJALartOiqel4DG E3otwuXlZd5iKQ0CpRBALUrpCepROIH3799rGqrwSlI9CKQjgFqkY0vOyyGgle3BJqj+nlqp iMYc2lCrqarltJmWQOD/E0At8AgIbCAgGdje3v7+/bvZaUpKj+jt7+/bf/Xj4uJCP56ent68 eQNNCCyVAGqx1J6lXXEIaKeshg6rhz3FrSGFdtNaSTrT/Y5TNrlAoCQCqEVJvUFdaiMgFTk8 PLRam6LU1gLqCwEvAdTCSwo7CKwS0Hji4OBA57WM8fHjRxBBYMEEUIsFdy5Ny0FAgqH5KF4v mIM1ZcxKALWYFT+FQwACEKiEAGpRSUdRTQhAAAKzEkAtZsVP4RCAAAQqIYBaVNJRVBMCEIDA rARQi1nxUzgEIACBSgigFpV0FNWEAAQgMCsB1GJW/BQOAQhAoBICqEUlHfVyNe2FdxwQgEBH gM9VpYhrqEUKqlnz1BWi7y5wQAACHYHr6+usF2EbhaEW1fczakGUhMCAAGqRIq6hFimoZs0T tSBWQgC1yBB0UIsMkNMWgVoQKyGAWqSNMj9yRy0yQE5bBGpBrIQAapE2yqAWGfhmKAK1IFZC ALXIEGoYW2SAnLYI1IJYCQHUIm2UYWyRgW+GIlALYiUEUIsMoYaxRQbIaYtALYiVEEAt0kYZ xhZ+vvf3937jzJaoBbESArOoxePjY+aLfd7iGFu4+L9//54LEgIQgECfgMKCK3wsxQi1cPVk yW7B2IIQBoFZxhYlhwVXXBtphFq4gJXsFqgFsRICqIUrkE0zQi1c/FAL4hEEKiKQ5z1RJYcF V1wbaYRauICV7BaMLSqKYlQ1DwHUwhXXRhqhFi5gqEWei5xSIBCFAGrhimsjjVALFzDUIso1 TCYQyEMAtXDFtZFGqIULGGqR5yKnFAhEIYBauOLaSCPUwgUMtYhyDZMJBPIQQC1ccW2kEWrh AoZa5LnIKQUCUQigFq64NtIItXABQy2iXMNkAoE8BFALV1wbaYRauIChFnkuckqBQBQCqIUr ro00Qi1cwEpWC1cDMIIABGITaC0soBYuD2rNLVxQMIJA2wRaCwuohcvfW3MLFxSMINA2gdbC Amrh8vfW3MIFBSMItE2gtbCAWrj8vTW3cEHBCAJtE2gtLKAWLn9vzS1cUDCCQNsEWgsLqIXL 31tzCxcUjCDQNoHWwgJq4fL31tzCBQUjCLRNoLWwgFq4/L01t3BBwQgCbRNoLSygFi5/b80t XFAwgkDbBFoLC6iFy99bcwsXFIwg0DaB1sICauHy99bcwgUFIwi0TaC1sIBauPy9NbdwQcEI Am0TaC0soBYuf2/NLVxQMIJA2wRaCwuohcvfW3MLFxSMINA2gdbCAmrh8vfW3MIFBSMItE2g tbCAWrj8vTW3cEHBCAJtE2gtLKAWLn9vzS1cUDCCQNsEWgsLqIXL31tzCxcUjFYIHB0dbW1t 3d3dDf6yegZ4CyDQWlhALVxOW6lbnJ+fE6dcHdwzEjQF/Y8fP97c3IxKe3FxcXl5efLjGCTs n3l4eNjZ2fn27duozDFeJSDagjkjmUrDQjAx1MKFrjq3UMhTSPrpp5+ISq4O/tfo8PDQIru4 CeCotPf395ZwoBYKan3hOTs7o19GgX3J+Ndff9VITrQfHx+jZDg2k+rCwtgGDuxRCxfAitxC 0Uq1VTyyA7VwdfAPIw0pFIDM/vr6WvT8aTtLaYOOfsK+eChb9Qj9EgB2NYk6y5x8e3tbt0dR 8hyVSUVhYVS7XjIOuR6iFFxXJoW7he6tdHz58qWvE6jFKB/7559/+kH8jz/+ePPmzagcZHx7 e6tUfYVWv5yennb5KFv9Ri3Ggl1r36lFpxkSZhvh5TkKDwvRIaAWLqTFuoWCka4Qjcd1dOOJ /g/Neyh4cWzs5uPjY5vWsEM9rlmpLpWWf1YZaqDQz1Z9oRw0f9WfTO8vHakvLJZFUYu1VWqq o/f29tb6vDouj2YUGxY2enuYAWrh4lasW2hl9SWdsAtJV5RuwTg2dvPu7q5morpoK3SDCaWN OWhhXHGqm8sy+24aSksXUgs7GUUtpEONd+srnr+60WBj9wUYFBsWAtriSYJaeCg9l+wWupO1 2+G1Fw/rFq4O/hHBu7VoBWJNhfcTbhxbKIn0Rkn6IxKNNjqFODg46IK7qfgsU+1OGlWYDWai 7PZI/LPtAyw5LKToQdTCRbUKtzDZGGgGauHpYFt57iwVyvuLDRtzkMwIu01M2dhCfaGYdXV1 1UUu2fQHLlKRbEFtY/0rNRioRU6dMGJVhIWInYtauGBW5Ba6n9VSqm6NWeV2de0PI01zd2qh BYz9/f2npydncq1si7amBM1ev6U0ykS/f//997WZRJmJclZvwWamFtpW8Pnz5zwLFQOYFYWF KG6AWrgw1ugW9sgFYwtXBz8/K8Rrskj3p6MmiDSGGCSxhSJb6H5pgCKDsY/+OVvRlJn6S4Pp GR/QqzEsTPEQ1MJFrzW3cEHBCAJtE2gtLKAWLn9vzS1cUDCCQNsEWgsLqIXL31tzCxcUjCDQ NoHWwgJq4fL31tzCBQUjCLRNoLWwgFq4/L01t3BBwQgCbRNoLSygFi5/b80tXFAwgkDbBFoL C6iFy99bcwsXFIwg0DaB1sICauHy99bcwgUFIwi0TaC1sIBauPy9NbdwQcEIAm0TaC0soBYu f2/NLVxQMIJA2wRaCwuohcvfW3MLFxSMINA2gdbCAmrh8vfW3MIFBSMItE2gtbCAWrj8vTW3 cEHBCAJtE2gtLKAWLn9vzS1cUDCCQNsEWgsLqIXL31tzCxcUjCDQNoHWwgJq4fL31tzCBQUj CLRNoLWwgFq4/L01t3BBwQgCbRNoLSygFi5/b80tXFAwgkDbBFoLC6iFy9+LdQt9FFqf7eSA AAQGBDJ8y7bYsOAKauONUAsXs2Ld4vr6Wh+y54AABAYEMnyRvtiw4Apq441QCxezYt0CtSBK QmAtAdTCFdrGGKEWLlpT1OLx8VGO++XLlz///PP+/n5teScnJ/3zZq/j+/fvOq/pppdqiVoQ KyGAWrii2GQj1MKFMFgtzs/PNZ1qU6iSioODg6Ojo0GR+uvh4aGdvLy83Nvb07/2XwmGkg+0 pJ8ctSBWQgC1cEWxyUaohQthmFpIKnZ2dh4eHvplSDA6bbDz0g+Th6urq62trYG9/qQkjC2I iRAYRYCZKFdoG2OEWrhoBaiFRhJy7rOzs9WRhM5LSLrzGkzYb5WydhjB2GJUmMAYAiKAWrhC 2xgj1MJFK0AtLi4u5LJrt/FpAKH5JSu4m4bSj5fsB6MNZqKIhhDYSAC1cIW2MUaohYtWgFp8 +vRJDr02d0lF9yeZmVufnp6+ZP9KFVm32Bg1MGiTAGrhCm1jjFALF610atFNQ2m6CbVoM67R 6hQEUAtXaBtjhFq4aAWohUX/tZNIGlto9VsFawW72yKllYyX7BlbpIgm5LlsAqiFK7SNMUIt XLQC1EIbnHQ1dnth+8XovImENkd1Cxt3d3c631/99tSMmahlhzxaF0wAtfAEkFE2qIULV4Ba KF/NMnWr2V0x0oNum2w3DWV/3d/fH5yx869ICGoRHE1IuGwCqIUrtI0xQi1ctMLUQpto7dk6 Pc5txWijlLKyZ7O/fv062BqrJ7d3d3eVROMSSyIx0AN6XfLVuqIWyw55tC6YgO69tIUk6fHh wwdX+FiKEWrh6skwtbCsdY+jeScJw/HxcX+UIBnQ7NNq8bLRDJU0Qw/lSV1erx9qERxNSLhs AnrUSZde0uOVV/K4wkptRqiFq8emqIWrgFAj1GLZIY/WBRPIMBMVetXWmg61cPUcahF80ZIQ ArMQQC1coW2MEWrhooVazHLBUygEggmgFq7QNsYItXDRQi2CL1oSQmAWAqiFK7SNMUItXLRQ i1kueAqFQDAB1MIV2sYYoRYuWqhF8EVLQgjMQgC1cIW2MUaohYsWajHLBU+hEAgmgFq4QtsY I9TCRQu1CL5oSQiBWQigFq7QNsYItXDRQi1mueApFALBBFALV2gbY4RauGgVqxau2mMEAQhA YDIB1MKFELVwYcIIAhBYLgHUwtW3qIULE0YQgMByCaAWrr5FLVyYMIIABJZLALVw9S1q4cKE EQQgsFwCqIWrb1ELFyaMIACB5RJALVx9W6Za6EsY+gwGBwQgMCCgjyC5LmyMxhBALVy0ylQL fWEpeDc6CSGwYAJlXrCuWFOwEWrh6pwynQ+1WHC8o2lTCJR5wbpiTcFGqIWrc8p0PtRiSkAh 7YIJlHnBumJNwUaohatzynQ+1GLB8Y6mTSFQ5gXrijUFG6EWrs4p0/lQiykBhbQLJlDmBeuK NQUboRauzinT+VCLBcc7mjaFQJkXrCvWFGyEWrg6p0znQy2mBBTSLphAmResK9YUbIRauDqn TOdDLRYc72jaFAJlXrCuWFOw0RLUQg+pKW4mPba3t5PmH5a5nkiackWRFgJLJbC7u6vvW9R+ lCYc1auFHGJnZycs2vpT6dFQv3E2S9RiqcGOdk0k8ObNm6qfb9/b29va2rq7uytKMJagFnKL ophmqwwzURNjCsmXSqD2mSjdBBcY1lCLbLE9fkGoxVKDHe2aSAC1iB9unp9RixRUM+WJWkyM KSRfKgHUIkUMQi1SUM2UJ2qx1GBHuyYSQC1SxCDUIgXVTHmiFhNjCsmXSgC1SBGDUIsUVDPl iVosNdjRrokEUIsUMQi1SEE1U56oxcSYQvKlEkAtUsQg1CIF1Ux5ohZLDXa0ayIB1CJFDEIt UlDNlCdqMTGmkHypBFCLFDEItUhBNVOeqMVSgx3tmkgAtUgRg1CLFFQz5YlaTIwpJF8qAdQi RQxCLVJQzZQnarHUYEe7JhJALVLEINQiBVXyhAAEIBBOgPdEhbN7JWWZWJM0lUwhAIE2CJQZ 1hhbtOF9tBICEKiHAGqRpK/KxJqkqWSajMDNzc3ql3OCvy6ghGu/w5Os+mS8NAJlhjXGFkvz M9oTQGB/f/+vv/66/vfQ9oG3b9/e3t4GZKUkx8fHp6enXW4XFxf6OI/yDMuNVA0SQC2SdHqZ WJM0lUzTEJALPTw8dHlrnKHPll1dXYWVpqyUYZdW/9V30A4PD8NyI1WbBMoMa4wt2vRGWr2e gIK7Ptx7dHQUC9DBwYHUIlZu5NMIAdQiSUeXiTVJU8k0PQH7mHOscr58+aJhSn/gEitn8lk2 gTLDGmOLZXsdrRtBQKsXkorHx8cRaV421QU/ZfEjSh3IpFICqEX8jtOFrRnhiDeD8atIjpUQ 0Cq0poxijQMmLn5UwoxqJiFwf3+vmKY5zCS5T8i04rGFLsjd3V0xjXWFT8BI0roJyJe2t7f1 b5RmsLIdBWObmWhUIVfUylmBYa1WtbBXJGleuE2XotURCdjKtva8vpSnPT/R/6t05RVpeX1l 2zZN9WPB6pmIrSOrWgjIDeQ5U/bjpW5pfWqhK03XtkZqse4EUyMm/8IJrK5sX15eajZA1bYL WJ4mwfj06ZOdOTs7s9HD2gcydB8zWNlWWmVoEKRJ5+fnlq09/bd6pnBcVC8FAXmI3KbwmZKa 1EKrFLpiNfukx51SdBh5Nkjg48ePGvjrFsQeppNryce03C0U8jc5m04aFi1Z64wtg8teCZ+e ngbENNjVkFeZWG5fv36VeCgTWznXXz9//mxJVIr+tHqmwS5ovMnyE70xV341GL8WiKUmtZD2 6sIrcDqvwH6lSh4CNgX00js/NAjoHpXQOEC+pzO6qnUb2I0VBqWsza0bBGtM3EUE/VYmq2c8 1cZmMQTkG7q9qOXhzZrUwnaVSTME96XLdTFuRENmJ6B7/+4xPf3WlJH+7S7sgLdIKS7YIEOe bDq0emb2VlOBzAQ0vtRNg8KanK3w2fWa1MJ6UVepLlrjqx8BF21mb4hSnNSRQVUUkv5M5Fq6 OxF2DSlMNuxOUL/DtqwolV4ooky66enVM/7qYbkkAvIKOYNimm24KPNir08tOhcRX03+6urV JW0rh0vynkFbbFAldVx2M0vrwdXdSqv7o0bVWZPUg/ub1TOjMsR4YQR0X6glMYU13VKUNoNS sVqYl2hor/s1yYbWKrU4qWGd7WZZ2CG1sG9P6m2mamy39LqwZtIcCEBABBTEtFfCtmD89ttv CnGxXjEwBW/1atFvvEYbJsu2FDmFS2lpO7XovldcxSaK0jBSHwhUR0CyoXGGjTbmXdhYlFrY UMMe3Jvxufm1n9ZZu1vGf1KLomu/a6/hVCMrN9Vd5FQYArEI6BrX9opRYc2eS1Mw7A5NZeuY Ei6WoxaiI6CaqJFOaBkjVj+NzUdjGkV2e+Ar4qFuXqsWaq8eFhtbSewhAIEqCCiehG0EVVjo C4PCowLIxFhRvVrYXgKpqH2WYPZFi0QTRKszUbZNe/b2VnHJUUkI1EXA7n11j6hbT63FBuxt GcxZ2QOAEyHUqhZa5tUIyxDoRzmrvhnUQgtfajI6MdH1SQ6B0ghIJPSZ3nfv3mmGWftog7/1 O2iXwsUvv/wyPWJEVgvFSkliN1NmizMRv0SmBhc1klj1tqRqIZ2YcZKttEuL+kBgGQQ0DuhG Eposmh7W+1hsDmr1Baxa4lUwGfXIWmS1GAiDhlGaIAoYRq11AmmPpumFteQXqiRSC7Vd/VrC LrplXJ+0AgIlELA3ytgseor9TvZ+5bXf+tUgRoWaSjmXviOrRb/BtjcpYmRXILY3v6fAGst1 EqlFrOqRDwQgUA4BhWnFNAX0waJ0rBoqWioIrw2Y3btZbTbIU2JkteiK1EKCaumshKeiZvP9 +3flqYgsQZY2/v333/60eSxRizycKQUCiyGgW2qFNcU0LcRGXIW1NyIP5qBW5yf8T/umUoso S/CveIN9ZqAbxDlHUhncC7XIAJkiILBIAvYSPI02NHc0cbTx0tttBwufCqT+e/okaqF2aoHh pQhuD6/F6uz+VjOVO/vMPmoRq2fJBwLNEtBjFt3z22Gf81m7ZqxsB9ow6v2Y8dVCIqFlE00T re1pBXdbsI3uB9LMEpbBUYvoPUuGEGiTgL3/OGAZ3D7u0N+eqpArYdDJ/hqGfQVSbJ0bkeKr hTRNavHKPb7tr03U/dp8Zi/JmOvNH6hFop4lWwg0S0AhXivhcZ9GMP2waOyMlpHVQgsmmoMa TDRpxbv/mEkKtbA30XYPtsz4JlrUotlLmoZDIC4BC2t6B62GF3pfqqakYs20Kx8Fye5wPt0c Uy00Kbb6KhKNcQZPnMdVCxXaf7AlFs3gXkctgtGREAIQMAI2r25zJGHrFilIxlQLNczew9E/ dHLwyF4UtdDqSLcnShmyJyqFc5AnBCCQk4DimKJltyfKuZyQrYYx1cJZ6SlqYU+rd6obcW+V s/IbzRhbbESEAQQg0Cdg97624quZEue8UH6GNamFZEaLImJa8ndVUYv8TkyJEKiUgEYP3XdV y38FXG61sC8I6gh4c5YC8du3b6UZBQ4pOmdFLSq9bqk2BPIT0PYfvXFWzzJHfONsulbkVouJ LZHGSC26r1nEeqPvxFr1k6MWEWGSFQRaIGAf6dE0lL0wKuBOOg+lytSig2Lv+O2+lFfOchBq kcdxKQUCyyNgOzztQ2f6XVoDa1UL42iL3t3qUAl8UYvSXJz6QKAuAhpbaIShcYYtepczg1K3 WnROYG/jEl89xjLxbVwTHQu1mAiQ5BCAgBGwGapytvYsRC0699LmMz1PrqHcSy+qSu2IqEVq wuQPgaYIPD096Ylu2zqV7p1JHqRLUwvtttLwTQ9kzPW8HmrhcTtsIAABJwHNt0sk7CVR8y7Q LkctJA8SCc1Ezbu/FrVwXgOYQQACGwkomtm3gua6/e3XcAlqYR/0MO3lPVEb/Q8DCECgfAIK a/YGvMHH72asefVqIZ3QeEJrFYXsHGBsMaM3UzQElkFgf39fb4vS4mtRz15UrxalRefS6rOM i4dWQKApApopKbC9JdZpFKbSonNp9RkFE2MIQKAEAqhFkl4oLTqXVp8k0MkUAhBISQC1SEK3 tOhcWn2SQCdTCEAgJQHUIgnd0qJzafVJAp1MIQCBlARQiyR0S4vOpdUnCXQyhQAEUhJALZLQ LS06l1afJNDJFAIQSEkAtUhCt7ToXFp9kkAnUwhAICUB1CIJ3dKic2n1SQKdTCEAgZQEUIsk dEuLzqXVJwl0MoUABFISQC2S0C0tOpdWnyTQyRQCEEhJALVIQre06FxafZJAJ1MIQCAlAdRi Kl29kFyxeHDoHY2rJ3Vmrs+GoBZTu5n0EGiGgN5DvjZ8vRTW9GHpGdnU9J4ofX9b75rVC983 Hvrkqt5ePgtW1GIW7BQKgRoJ6LXk+pDq5eXlxpgmG0kIauHtZb2T/O3btxtf4atRhb4fMteH LlALb3diBwEIPD/r8xUKGhtJ6EurOjaaJTWoaWwhEKenp6+T1Xe5pcAzfmcKtUjqr2QOgeUR 0KzJ6zPnZ2dnmi+Z9zOrwl6ZWmjEIGpi95LHKFi/8tcMfoZaZIBMERBYEoGbmxsta+vftY3S bIrugOf9gLRVrDK1UI1F7aXRg6b2NAc1rxuhFvPyp3QI1EhAYwuNMNbWXIu1c63CDupTn1qo AbYyMWiJVjW0XqSZqHl9BbWYlz+lQ6BSAgodEoZB5XVz/O7du7lWYZegFmrD6h7ZjXN/eXwI tcjDmVIgsDACWpbQrIkmSLp22ZkS5qBqnYmyemsdWxw1nrD/vjKOy+xSqEVm4BQHgcUQsG2y 3UhCT5jpKKd1Vc5EGT6tZtuWstfXiDKzRi0yA6c4CCyJgOTh+PhYLTLlmH0fVJ9txWqhZuzu 7mqYVsgclGFFLZZ06dIWCGQmIHnY3t7WHfBgVipzNdYWV7dafP36VTvPPM+2ZGONWmRDTUEQ WCQBPa+nsLa64j17Y+tWCxuvFTVYQy1m92kqAIHaCcz7ho+X6FWvFqW5BWpRWo9QHwhAIAoB 1CIKxv/LBLWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWI DJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgig FpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTs IACBMgigFpH7AbWIDJTsIACBMgigFpH7AbWIDJTsIACBMgigFpH7QZ++0pdMImdKdhCAAATm JoBazN0DlA8BCECgBgKoRQ29RB0hAAEIzE0AtZi7BygfAhCAQA0EUIsaeok6QgACEJibAGoR 0gO3t7d7e3v60nr3VfDT01Od0X9DsiMNBCAAgeIJoBaBXSRhkFp0iS8uLu7u7gLzIhkEIACB 4gmgFoFd9PDwILX49u2b0uu31CIwI5JBAAIQqIEAahHeS/v7+58+fVL6k5OTp6en8IxICQEI QKB4AqhFeBedn5/v7OycnZ0xBxUOkZQQgEAlBFCL8I7SM9uajJJa9LPQegZr3eFMSQkBCJRK ALUI7xmpwtbW1iC91jB0hGdKSghAAAJFEkAtwrvl8PBQb4Xqp9eit9YwdEbDDu2p1Q9NUukM +hFOmZQQgEAZBFCL8H7Y3t4ebIW6urp6//695fjhwwf9V09m6IxtneKAAAQgUC8B1CKw7+x5 i8Gg4ejoyJYx9FeJhP6qscWqWWCRJIMABCAwHwHUIoT99fW15qD0KYvBhihtkbLXlUs2jo+P 9UP7pgazVSHlkQYCEIDA3ARQi2g9oGGE1MJGG3oLiOag9ENSIUVh3SIaZTKCAARmIoBaRAOv 2SeJhDTDZMPy1RkNL6KVQUYQgAAEZiKAWkQDj1pEQ0lGEIBAeQRQi/L6hBpBAAIQKI/AfwHh 3TbPQ6kdIgAAAABJRU5ErkJggg==</item> <item item-id="2">iVBORw0KGgoAAAANSUhEUgAAAhEAAAEBCAYAAADGoPcUAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA IxZJREFUeF7tnT1P5EjXhnniFRLJJiRDhiZDIh/xB5DQhkRExIz4AyQboiUlI1gRrpBIJkQb E5CtyJiEGAkR+53b7xbrMe4uu6tcn5el1u405fq4znGdu0+V7f81P441DghAAAIQgAAEIDCV gEQEBwQgAAEIQAACEJhKYG3qCZSHAAQgAAEIQAAC7UoGGCAAAQhAAAIQgMAqBBARq1DjHAhA AAIQgAAEyETgAxCAAAQgAAEIrEaATMRq3DgLAtUT+PLlS3N2dtZcXl6+f05PT5tffvmlubu7 q54PACBQAwFERA1WZowQ8Ezg4eGheX5+/qnWl5eXZmtrqzk/P/fcGtVBAAKpEkBEpGoZ+gWB hAlIMPSPvb29Rh8OCECgHgKIiHpszUghMBuBk5OTNgsxJC5ma5SKIQCB6AQQEdFNQAcgkDcB 7YvY3t5uHh8f8x4IvYcABCYTQERMRsYJEICAIXB1ddVsbGw02iPBAQEI1EcAEVGfzRkxBLwQ UObhx2P2m5ubGy/1UQkEIJAfAUREfjajxxBIgsDu7m57iycHBCBQLwFERL22Z+QQWJmANlIO 3YnRv/VTIkOZCt32qaUPDghAoCwCiIiy7MloIDA7AQmCzc3N5vv37+9taWlDD53a399//07/ f3193f777e2tWV9fn71vNAABCIQlgIgIy5vWIJA1Ad3CqezCoo95UqWyD7rl0xz6vvvvrCHQ eQhA4J0AIgJngAAEvBOQyDg6Onqv14gO7w1RIQQgEJUAIiIqfhqHQJkElHk4ODhoB6d9EoeH h2UOlFFBoHICiIjKHYDhQ2AuAhISWtbgZVxzEaZeCMQngIiIbwN6AAEIQAACEMiSACIiS7PR aQhAAAIQgEB8AoiI+DagBxCAAAQgAIEsCSAisjQbnYYABCAAAQjEJ4CIiG8DegABCEAAAhDI kgAiIkuz0WkIQAACEIBAfAKIiPg2oAcQgAAEIACBLAkgIrI0Wx6dNi9p0oua+MAAH8AHjA/o XSscZRBARJRhxyRHoQljbW2NDwzwAXzgJx+4v79Pcs6iU9MJICKmM+OMkQQQEQgoRCQ+MOQD iIiRk2gGxRARGRgp1y4iIgggiAh8ABGR6ww+rt+IiHGcKLUCAUQEAQQRgQ8gIlaYPDM6BRGR kbFy6yoiggCCiMAHEBG5zdzT+ouImMaL0hMIICIIIIgIfAARMWHSzLAoIiJDo+XSZUQEAQQR gQ8gInKZsVfrJyJiNW6cNYIAIoIAgojABxARIybLjIsgIjI2XupdR0QQQBAR+AAiIvWZ2q1/ iAg3fl7Pfn5+9lpf7MoQEQQQRAQ+kLKIeH19jT1NZt8+IiIhE+7u7vJkP57shw/gA/hAIB/Q nMvhRgAR4cbP69mlOTSZCH6FkonAB1LORJQ253oNSCMrQ0SMBBWiWGkOjYgggCAi8AFERIjo Ea8NREQ89h9aRkQw4RJ08YEafCCVd2eUNufGCGeIiBjUF7RZmkOTiSAg1hAQGeN0P0dEJBR4 HLuCiHAE6PN0RMT0yYgJHGb4QH4+gIjwGTni1oWIiMv/p9YREflNhgQwbIYPTPcBRERCgcex K4gIR4A+T0dETJ+MmMBhhg/k5wOICJ+RI25diIi4/MlEBLofnECTX6DBZuXaDBGRUOBx7Aoi whGgz9PJRJQ7aRIQsS0+8J8PICJ8Ro64dSEi4vInE0EmgqcT4gPV+QAiIqHA49gVRIQjQJ+n k4ng1yq/VvGBGnwAEeEzcsStCxERl3/RmYiE0NIVCEAAAh8IlPbDLYaJERExqC9oE4dOyBh0 BQIQKJ4Ac667iRER7gy91YBDe0NJRRCAAASsBJhzrYisBRARVkThCuDQ4VjTEgQgAAHmXHcf QES4M/RWAw7tDSUVQQACELASYM61IrIWQERYEYUrgEOHY01LEIAABJhz3X0AEeHO0FsNOLQ3 lFQEAQhAwEqAOdeKyFoAEWFFFK4ADh2ONS1BAAIQYM519wFEhDtDbzXg0N5QUhEEIAABKwHm XCsiawFEhBVRuAI4dDjWtAQBCECAOdfdBxAR7gy91YBDe0NJRRCAAASsBJhzrYisBRARVkTh CuDQ4VjTEgQgAAHmXHcfQES4M/RWAw7tDSUVQQACELASYM61IrIWQERYEYUrgEOHY01LEIAA BJhz3X0AEeHO0FsNOLQ3lFQEAQhAwEqAOdeKyFoAEWFFFK4ADh2ONS1BAAIQYM519wFEhDtD bzXg0N5QUhEEIAABKwHmXCsiawFEhBVRuAI4dDjWtAQBCECAOdfdBxAR7gy91YBDe0NJRQkS ODk5aTY2Npqnp6fB3i36PsGh0KVCCDDnuhsSEeHO0FsNNTr01dXVwqDiDSwVrURAtlHgPzw8 bB4eHlaqw5x0fX3d3NzcNGdnZ+1n6Oh///Ly0mxtbTV3d3dObXNyWAKys2yXw1HjnOvbLogI 30Qd6qvJoRWgFCDW1tYIEg4+M9epR0dH78FeQVy2cjmen5/b01XXkIhQ4OkLlYuLC/zDBXqk c/f29tqMk+z8+voaqRfjmq1pzh1HZHopRMR0ZrOdUYNDK4honBIP5sMvzdlcaqWKlX1QIDDH /f19aysfh8SCPv2jLyzUpvwCkemDetg65Dvm2t7c3Gz0gyHVo4Y5d272fmaGuXtZSf0lOrR+ iehzeXn5QTwgItJz7H/++edD4P7jjz+a9fV1584+Pj629fRFo/zj/Pz8p/rVpg5EhDP24BV0 RURXTEgomoxU8E4taLDEOTc0W0REaOJL2ivJoRUYNGkoralPN/PQ/3+lrRVY+MzDYIqLn56e vqeizf4F+aWWN7qHNkEuspeyCP1D/iA/0LJIf728vy9G/mCCzZwiYtkY8MXVfXFnZ2fp9S5f SkVMlDTnTrnOfZZFRPik6VhXSQ6tjXQ28WDEhCYd/XrhMw+DKW65vb3dbqbsBlHZaWgJYkq9 2pyp4NFdJjHnd5cytC9CIsIcc4oIiRd8zr/PjbnuF22uneJTPsqWNOf64LFKHYiIVajNdE5p Dq1fnObX7LKJhT0RMznUCtUqaHc3OCrQal27f0zJRKgOiRMd/YyGMhRd0XBwcPBTYFd/JDJT XldfAXPRpwwtZ5gfDLJ/SrfyljbnxnAsREQM6gvaLNmhjaAYEhOIiDSc0Gxk7PZGAby/X2FK byVIZHOzxGEyEfIHBZPb29ufgorK97MgEhkpBZ4p46+x7JCISE08GLuUPOeG8j1ERCjSI9qp waH1y1Ob5vTrlo2VI5wiYBGtU3fvwtD+iP39/ebt7W2lXmgjpeyspS1z6N8SJapbx++//760 7jmXM1YaFCdZCRgRoU20X79+TWb/w1DHa5hzrQZzLICIcATo8/TaHNo8K4JMhE8vcqtLAV5L Cvrl6LKEoEzDUB1m/4vZXGnLcigguT7oyo0IZ08lIP/RMmYOD5yqbc6dassx5RERYygFKoND BwJNMxCAAAR+EGDOdXcDRIQ7Q2814NDeUFIRBCAAASsB5lwrImsBRIQVUbgCOHQ41rQEAQhA gDnX3QcQEe4MvdWAQ3tDSUUQgAAErASYc62IrAUQEVZE4Qrg0OFY0xIEIAAB5lx3H0BEuDP0 VgMO7Q0lFUEAAhCwEmDOtSKyFkBEWBGFK4BDh2NNSxCAAASYc919ABHhztBbDTi0N5RUBAEI QMBKgDnXishaABFhRRSuAA4djjUtQQACEGDOdfcBRIQ7Q2814NDeUFIRBCAAASsB5lwrImsB RIQVUbgCOHQ41rQEAQhAgDnX3QcQEe4MvdWAQ3tDSUUQgAAErASYc62IrAUQEVZE4Qrg0OFY 0xIEIAAB5lx3H0BEuDP0VgMO7Q0lFUEAAhCwEmDOtSKyFkBEWBGFK4BDh2NNSxCAAASYc919 ABHhztBbDTi0N5RUBAEIQMBKgDnXishaABFhRRSuAA4djjUtQQACEGDOdfcBRIQ7Q2814NDe UFIRBCAAASsB5lwrImsBRIQVUbgCJTn04+Njs7e3xwcG+AA+MOgDDw8P4SbXBS2VNOfGgomI iEV+oN2SHPr+/r5ZW1vjAwN8AB8Y9IG7u7vos29Jc24smIiIWOQREQQXggs+ULEPICISCj4O XUFEOMDzfapvVfz6+troQr28vGz+/PPP5vn5eWmXz87OPvzdnK86vn//3v5dSxW2g0wEWRgy UfjAMh9ARNhm0Tz+johIyE4+RcTV1VW7DmnWHSUgDg4OmpOTk8ERq9zR0dH7325ubpqdnZ1G /zWHhITqHBIb/UoREQQQRAQ+gIhIKMDM1BVExExgV6nWl4iQgNja2mpeXl4+dENCoisWTAGJ CyMYbm9vm42NjcHzVUZ12A5EBAEEEYEPICJsM2X+f0dEJGRDHyJCGQdduBcXFwszDvq7hEb3 UNbBHOrHsmwDmQiCAwIBH3D1AZYzEgo+Dl1BRDjA832qDxFxfX3diohlt08py6BlCXN0lzL0 /7bzhzIcLGcQVFyDCufX5UOICN8RJE59iIg43Adb9SEijo+PWxGw7JCA6JbROeaCPj8/t54/ BhnLGXUFBAQA9p7qA4iIMTNp+mUQEQnZKJaI6C5laKnCJkLGIENEEFSmBhXK1+UziIgxM2n6 ZRARCdnIh4gwImDZkoMyEdp4qUMbJbt3bGivhCbzMUsWy9AhIuoKCAgA7D3VBxARCQUfh64g Ihzg+T7Vh4jQnRW6mLu3Zvb7qb8b4aA7Nbr7J56entrz+xsvp44VEUFQmRpUKF+XzyAips6q aZZHRCRkFx8iQsPR8kR342R3iBIH3ds3u0sZptz+/n5bx6JjjMBARNQVEBAA2HuqDyAiEgo+ Dl1BRDjA832qLxGh2zzNQ6H01Epz6M4NtWGeOPnt27fBWzn1ZMrt7e22DmU2TB0SBnrgVLfO RQwQEQSVqUGF8nX5jH6saFN3zM+XL198T+PV1YeISMjkvkSEGZKUvpYttE/i9PT0wxKFBIGW L5ZlHLTcITGhB0xJhIw9EBF1BQQEAPae6gN6lo3mqJifMY/wHzvn1VoOEZGQ5X2LiJhDQ0QQ VKYGFcrX5TMpLGfEnCNLaRsRkZAlERF1TaIETexdsw8gIhIKPg5dQUQ4wPN9KiKCoFJzUGHs dfk/IsJ3BIlTHyIiDvfBVhERdU2iBE3sXbMPICISCj4OXUFEOMDzfSoigqBSc1Bh7HX5PyLC dwSJUx8iIg53MhE/HmhF0IABPlCvDyAiEgo+Dl1BRDjA830qmYh6J1SCKbavzQcQEb4jSJz6 EBFxuJOJIBNBJgYfqNoHEBEJBR+HriAiHOD5PpVMBL9Ga/s1ynjr9XlEhO8IEqc+REQc7sVn IhLCSlcgAAEIQGAmAoiImcCuUm1JmYhVxs85EIAABCCQFwFEREL2QkQkZAy6AgEIQAACVgKI CCuicAUQEeFY0xIEIAABCLgTQES4M/RWAyLCG0oqggAEIACBAAQQEQEgj20CETGWFOUgAAEI QCAFAoiIFKzwbx9KERFXV1fN3t4eHxjgA/jAoA8cHx8nNPPSFRcCiAgXep7PLUVEnJ2dVf0Q HZ59UO+zD7D9ONuXMtd5DgFZVoeISMhspVxYiIhxEykBB061+kApc11C4SNaVxAR0dB/bLiU CwsRQXCsNTgy7nG+X8pcl1D4iNYVREQ09IgIJtxxEy6c4FSaDyAiEgo8jl1BRDgC9Hl6KRcW mQiCXmlBj/H49elS5jqf83+udSEiErJcKRcWIsLvhEsAg2dpPlDKXJdQ+IjWFURENPQsZ5Q2 MTIegj0+MM4HEBEJBR7HriAiHAH6PL2UC4tMxLiJlIADp1p9oJS5zuf8n2tdiIh/LacHJCn4 xfxsbm5Gbd/X2PWgqVonR8aNMMAH7D6wvb3d3N3dVf/JVTh0+42I+EFDzry1tRU9gOspbr4C ecx6EBH2SZRAA6OafWB9fb3qp5nu7Ow0GxsbzdPTU/Y6AhHxr4hQ4OPwQ4DlDAJkzQGSsdv9 v/blDP1wLSXmICIQEX6UQ6cWRIR9EiXQwKhmH0BEICK8B56YFZakCmNyNG0jIgiQNQdIxm73 f0QEIiKFWOWtD4gIbyjbihAR9kmUQAOjmn0AEYGI8Bt1IteGiPBrAEQEAbLmAMnY7f6PiEBE +I06kWtDRPg1ACLCPokSaGBUsw8gIhARfqNO5NoQEX4NgIggQNYcIBm73f8REYgIv1Encm2I CL8GQETYJ1ECDYxq9gFEBCLCb9SJXBsiwq8BEBEEyJoDJGO3+z8iAhHhN+pErg0R4dcAiAj7 JEqggVHNPoCIQET4jTqRa0NE+DUAIoIAWXOAZOx2/0dEICL8Rp3ItSEi/BoAEWGfRAk0MKrZ BxARiAi/USdybYiIyAageQhAAAIVESgp5vDujB+OW5JBK7oOGSoEIACBLAmUFHMQEYiILC9C Og0BCEAgVwKIiFwtt6DfJRm0MNMwnIAEHh4e2qzc0Ofp6clbT1TXonb0PQcESidQUswhE0Em ovTrlfGNJLC/v9/89ddfzf39/ftHm2Q/ffrUPD4+jqzFXuz09LQ5Pz//qZ3r6+tmfX29fXkb BwRKJ4CIKMzCJRm0MNMwnEAEdA28vLz81JoyExsbG83t7a23XqiNfrZB3+3s7DRHR0fe2qEi CKRMoKSYQyaCTETK1xp9i0RAgX1ra6s5OTmZvQcHBwetiOCAQC0EEBGFWbokgxZmGoYTicDe 3l6jz9zH5eVlm+3oZ0Hmbpf6IRCTQEkxh0wEmYiY1xJtJ0hAeyMkIF5fX2ftnSZS3/stZu0w lUPAEwFEhCeQKVSjiVJrsSF+daUwXvoAgWUEtLFRSwtzZwbm2G+BZSGQA4Hn5+c23mgZr4Sj 6kyEJrLt7e3WmHNPmiU4C2Mom4Cuh83NzUb/nfNgI+WcdKk7ZQLKQOga016jUmJOtSLCvN9B a7IcEKidgNlIqVsvbYd5zkO/nMTHGAEydiOluZOjP9ku+t7Wb/4OgVgE5LPye993O8UaT7fd 6kSElKB2nSudNGbCS8FI9AECcxNYtJHy5uamUfpVh5kIdd1ISBwfH79/f3Fx0f5dSyHLnikh 8T60kVL1qS1zSMxcXV29t2kedrXo+7n5UD8EViUgv5bPl5rxrkZEaO+DJj0tX+jBNhwQgMD/ Ezg8PGxTrBLY5kFTukZ0vWiTpQ5dP7p29HdzaFOkvjebMHW+6np7extEq6yf3lypuk073759 ax8wpbrNRk6V+/r163sd6ofKLPoeO0IgRQLycb2tVNdHyU9irUZESAlqoiplHSrFi4Y+5UfA LA3YHnetrED3WQ7KDOh60veaJPVrq5tJGCKx7FHX3aygMoXdSVf/Vt2Lvs+POj0unYD8WYK5 hgeoVSMizC01EhMyrG3CK93JGR8EphBQJqD74Cn9W0sL+m93ovTxjg1NviYroevWiJdF308Z B2UhEIqAMmcSvoo5unZKXT6vRkQYx9Ekp4nPGFf/72PiC+WYqbQjEUZWJxVrzN8PXSPKOMjm yj4YQWF+cenfvnacqx49alt1d9eRF30//+hpAQKrE5Afy3clJhR3JL5LmjurExFdV5Bxtd6q XziaIM1GrtXdpZ4zxUsXhURYSRdEPRacPtJFd0Usultjegv/naH15CFxv+h7l7Y4FwKhCOjH l/YNKeZIIJeQEa9aRBjHUepUv3wkKLTBTJvJlIoyu9JDOVhO7UhE6ELQR29fFLvuprucxkJf IQABCIQkoNiiDcZmU/Nvv/3WxqC5nxI7xxgREQNUlaEwatFsGpsDfs51dkWEERMmo1PyTuSc bUbfIQCBNAlIUCgzYTIUOe2fQEQs8CkpQvNAqhweTyqnW7b73ffftNmtKx76/69sDntN0pyw 6BUEIJAeAc2X2qRshMQqPTTPQVLs6n609KzPHHMyIqJnKRlBhlSKXuJB+yRSP7SupqBuHhgU 4r9yyGUiQvz0ACIOCEAAAhBYTEDzt9lj5nrnoObcvlBQTNNcPdd8jIj4YVuze1Y7Z/XRTtqc 9kPEeJjJouUMc290TvyY4CAAAQiEJGB+rOrHmH4Aag+ejw3qQ8sg5oFXc42vWhGhTYBK9xjA +v9cNwamICK0IVUMEQ9zXarUCwEI5ExAwuH09LT5/Plzu3lft3oue0S8j7FqTv71119nnZeD iggFO6Vrums1ZjNJ90E2PuAN1aEAp3ZyzTgs4hJTREg85LDkM5dPUS8EIACBRQSUGVDMMxkH LSmE+qFlljEWvWRS+/40d7s+KymoiBgSCkrlKKj7SOUsc2WJFa3Ty6Cl3T0QQ0SIp5wvx1uS mPIgAAEIzEnAPBbeLI+HvtvCvJW3+6j6/niVFVFMNiJn1U2XQUVEH6S5+yFEUFegNe9xD23Q OZ1VdccQEXOPifohAAEI5EpAAVnxRiJiaLPj3OOSOND+tGWxrvsiSrNCsEq/goqIbge1/0CD lJAIdXz//r1tT0FXLw+SEvv7779DNT9bO4iI2dBSMQQgAIGVCegHsnlLrfbfhdh7Z96WO7SM sShz7PKwwGgiYu4dozarK90jhSgxYVJOq6ZzbG3N/XdExNyEqR8CEICAGwHz3iZlKLTMMEeG wvb20KH9a4qFLj/mo4gIwdP+BFvQNg9QcjOd/ez+7TbqX05r/YgIu40pAQEIQCAVAno2RPcJ ld2lBZc+LttjqDaHxILri/OCiwgJB+1U1VLCskOB3Wzec4E69Vwptdw2YSIiplqZ8hCAAATi EzBvxe1mxFfds6eYOXQHpISDhIL+1q9bP5jNTQ2r3twQXERIKUlEjPmlb24FjWFq3YZjHu2c +mOvERExPIQ2IQABCPgjoACvpXXtFQzxyAMjLkycXTXOBRUR2ryhZYyhuzG00bL/4I3QIsK8 zbP7QJAc3uaJiPB3IVMTBCAAgVAETMzRWzyVjdCLH7W0MeZHtksfVb9iW/ez6sMWg4kIrccs en630igKhP0jlIhQ3/oPBJnbiC4O0D8XEeGTJnVBAAIQmJeAWTY3L9vytSdi3l4P1x5MRChV omDXf7uY/q2/DaVv5hQR2pvRvTvD9aldMYxn2kRExKRP2xCAAATsBBRzFOe6d2esug/B3lq4 EsFExCpD8i0izGM+u7tiQzzoapWxTzkHETGFFmUhAAEIhCFgfqyavYDKeK+6bBCmx9NbqUZE SJBoP4aMqVRSCQqQTMR0h+cMCEAAAnMTUHzR/gazXFHy+4WSFRG6O0LrRPr4eGGJfq1/+vSp XU4pIfvQvQjIRMw9JVA/BCAAgfEEdJOA3taphyqGeFvn+J75L5msiPA/1KYVIxIR3bd4zv0q 1jnG0a8TERGCMm1AAAIQmEZAt21qH4Qea2Deo+HjR/G0XsxbuioR0UVpXtGqJQ7tkch5iQMR Me9FQu0QgAAEXAmYuwC1xKG9Efp3CUe1IsIYz2y27G58yc24iIgSLkXGAAEI1EBAmQjdGajM hDIUEhQ5Z8SrFxFdpzUvSJFx9eCPOV6QMsdFgoiYgyp1QgACEJiXgFnuyHnTPyJigY/oNhw9 YVOpJ9t7PuZ1M3vtiAg7I0pAAAIQSJXA29tbc3t7+35Hh8tbNUOPERGxgLjuClGqSfslbG8b DW20fnuIiNgWoH0IQAACqxPQsrqEg3lvRk6PIEBE9OwuwSDhoOWMXG4FRUSsfvFyJgQgAIGY BBRndCuo5vHUf7AOcUJE/EtFyq+rBHl3RszLirYhAAEIlE1AMce8s0kvwsr1QET8sJzEgzIP 2gOR4y5ZMhG5Xn70GwIQqJHA/v5++w4N7bfL/bkRiIgfHpx7EM69/zVOIowZAhCol4D2PpRy lDMSB4vkHoRz77+D6TgVAhCAQHYEEBHZmWx5h3MPwrn3vzB3YjgQgAAElhJARBTmILkH4dz7 X5g7MRwIQAACiIiafCD3IJx7/2vyNcYKAQhAgExEYT6QexDOvf+FuRPDgQAEIEAmoiYfyD0I 597/mnyNsUIAAhAgE1GYD+QehHPvf2HuxHAgAAEIkImoyQdyD8K5978mX2OsEIAABMhEFOYD uQfh3PtfmDsxHAhAAAJkImrygdyDcO79r8nXGCsEIAABMhGF+UDuQTj3/hfmTgwHAhCAAJmI 0nxAr/dWsB36bGxsLPybyusFXSkfiIiUrUPfIACB2gjold6L4o2+t8Wcq6urbJBV8+6MnZ2d 9i2denf7lM/W1lZzcnKStEEREUmbh85BAAKVEdBrvtfX15ubm5tJ8UblJTAQEQk6jF7x/enT p0mvXVUGYnd3t3l9fU1wRP91CRGRtHnoHAQgUCGBy8vLNhsx5Tg8PGz0yemoJhMho5yfn482 6v39fasIlZZK/UBEpG4h+gcBCNRIQBnwscvhFxcXjTLfymLkdFQlIpRRkJFkLNuhwDymnK2e EH9HRISgTBsQgAAEphF4eHhodCeG/rvseH5+bn+0aqk9t6MqESHjyEi2DIPWpbSMkcuBiMjF UvQTAhCojYAyEcpILDu0Xy/1vXeL+l+diBAIs9dhCIr2TmhDjJYzcjkQEblYin5CAAI1EtAc LaEwdOiH7efPn5Pfe4eI6BFYdOvmlDWsVC4GREQqlqAfEIAABD4S0D4HZcCV5e4e5vsclzHM OKrMRGjw2jApoyrzYI4xaacULxBERIpWoU8QgAAE/iNgbt/s3u2n5xfpk/NRrYiQ0bRx0txO M3YDTIrGRkSkaBX6BAEIQOBnAhIMp6en7ZdGVOR2N0bfplWLCMHY3t5uN1vmuIxhjImIYKqC AAQgkD4BCYbNzc32bo2h5Y30R/Cxh9WLiG/fvrW34Ex9KEhKxkZEpGQN+gIBCEBgMQE9hEox Z9FGy9zYVS8iTFop55QSIiK3y47+QgACNRPI6bHWNjshImyEMvg7IiIDI9FFCEAAAgUSQEQU YFRERAFGZAgQgAAEMiSAiMjQaP0uIyIKMCJDgAAEIJAhAUREhkZDRBRgNIYAAQhAoAACiIgC jEgmogAjMgQIQAACGRJARGRoNDIRBRiNIUAAAhAogAAiogAjkokowIgMAQIQgECGBBARGRqN TEQBRmMIEIAABAoggIgowIhkIgowIkOAAAQgkCEBRESGRiMTUYDRGAIEIACBAgggIgowIpmI AozIECAAAQhkSAARkaHRyEQUYDSGAAEIQKAAAoiIAoxIJqIAIzIECEAAAhkSQERkaDQyEQUY jSFAAAIQKIAAIqIAIx4cHDQPDw8FjIQhQAACEIBATgQQETlZi75CAAIQgAAEEiKAiEjIGHQF AhCAAAQgkBMBRERO1qKvEIAABCAAgYQIICISMgZdgQAEIAABCOREABGRuLUeHx+bnZ2dZm1t rbm5uWleXl7aHp+fn7ff6zsOCEAAAhCAQAwCiIgY1Ce2KaEgEdE9rq+vm6enp4k1URwCEIAA BCDgjwAiwh/L2WpS9kEi4u7urm1D/5aI4IAABCAAAQjEJICIiEl/Qtv7+/vN8fFxe8bZ2Vnz 9vY24WyKQgACEIAABPwTQET4ZzpLjVdXV83W1lZzcXHBMsYshKkUAhCAAASmEkBETCUWqbye SKklDYmI/qE9E2ywjGQYmoUABCBQMQFERCbGl0jY2NgY7K32SJi7NjIZDt2EAAQgAIECCCAi MjHi0dFRo3dk9A9tttQeCR3KVujWTx26c0PfIy4yMTDdhAAEIJAhAUREJkbb3NwcvCPj9va2 2d3dfR/Fly9fGn2n50voe3NHRybDpJsQgAAEIJARAUREBsYyz4kYyiqcnJy875NQOQkHlVMm QnsoyERkYGC6CAEIQCBTAoiIxA13f3/fLmPs7e0N3pmhOzbMa8AlKE5PT9sR6W6OoeWPxIdL 9yAAAQhAICMCiIiMjNXvqrINEhEm26DHYGsZQ4cEhO7kIBORsYHpOgQgAIHECSAiEjfQsu5p +ULCQWLCCApTXt8rG8EBAQhAAAIQmIsAImIusgHqRUQEgEwTEIAABCCwkAAiAueAAAQgAAEI QGAlAoiIlbBxEgQgAAEIQAAC/we5ZY5jRIwWvQAAAABJRU5ErkJggg==</item> <item item-id="3">iVBORw0KGgoAAAANSUhEUgAAAjgAAAA1CAYAAABMdJEBAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DrNJREFUeF7tXd3R3CoM/W4DqSAdbD3bQ17znoctIH1kZntID3n4GkgH6cDXGGODzY8EAmP7 7MydvfkWI3EQ+CCE+G8YPx/4AAEgAASAABAAAkDgSggogoMPEJBF4D08Pz4UcXb+e75lpaA2 IAAEgAAQAALv5/598zG+cD4ADRCQR2AkOGAz8rCiRiAABIAAECAgoN9BIDgEqFCEiwAIDhcx lAcCQAAIAAEpBEBwpJBEPTsEQHBgFEDg3gh8Dq+H2TZ4Dtidvrc1tG89CE57zG8jEQTnNl2N hgIBDwKfr+fw+tQ/TPERj9cw/xN4AYEGCIDgNAD5riJAcO7a82g3ENgh8PkaHh/w4sAyWiIA gtMS7ZvJAsG5WYejuUAggoA6VQmCAxNpiQAITku0byYLBOdmHY7mAoEwAqMH52n2q4ATEGiC AAhOE5jvKQQE5579jlYDgT0C7xfib2AXrREAwWmN+I3kgeDcqLPRVCAQRODz9RiQEgsG0h4B EJz2mN9GIghOL13979+/4ffv34P6xgcItERAkZvHsjX1Hl4n3qbqfRz1rl9Lu9OyQHDaY34b iVyCY+fMeCzHS7dw2em4zapw+ZvgMdRWcuTNwQ3mVJOeui7j79+/07cmOWMZQazk23DmGlf8 e7Uheb389rRPne8f1/L6+OxHXx1D9yT1Po5616+HMQyC00MvXFQHHsFh5cx4Pzc5NSqtDFvJ EbMANem5L5Ffv34NP378mCT8/PlzUP+ePji2K4b6WtEe/zEBTBtb5bZGWq9Se5LWh4uHU773 cdS7fkXgCz4MgiMIJqpyEeARHOfZ5GSpvT2rB6fW8dNWcmRsR62EtytU5bVR21Pqo77Vv5eP eqnQl7QySl64Fh/+I5NsZKtcYCvoVWRPFfThQjKX730c9a5fJuwVHgPBqQAqqtQIFBKc1BaK WfGNZOi1ywGv3dH6JvOtWzz2m6fvcuVMJE3rsMYgeOq3yn04eULCeqq4huWWdoOTqseDmSr3 58+fSbD6dgjO9PINbwfCkhkIBPDXQ2H24tS2VYa6RXoFbbvQnrJxchseHB9mLpj0V3ZvjTFD 9GuNI4xzrnUKlAfBEQARVfgR+D58/fo9D5xxoouSgqnWOWZn91LfrgQVyTAenthvIVVz5Rji 4Nm2WETZv2k5ut0xPd2998/3e0p/P03qHm+MIjTfvn2btqfUt0twdAp9OHHyzNR+KoS/LpNr Q7aX0rbjcn3L9Arbdpk95eC0xcI3PgyR2ZAaMy8oYjWTnzrjCONcymJ59YzvoC9j3/IeQmkg QEEg14OzCVicVz7el7DPJb6szmYd7X8nfwu87LPkGA+S/p7037Yl5NKP6TlWY4IybRLonlZZ +yfuwdHEKE0mKf197zJJHLNsyPKubW1igdsOzndtjrT9mKWXx7aX4UawJ/Ex7Y5b3/jQY2/G MzK+RMYRxnknk4F+l4DgdNId11Ijj+C8n4x4Gt/kbK3G9OLZmthiv8XA58pJxhDNwnaBldbf 7a0178vNrEo1XrGJ2QQWq++tByf5Yr6WUVZrTRJHrg3l2iq3hVy9EradxCGlH1efYH3u+JAg ONnjCOM81euVfgfBqQQsqs2JwXESglFSu3s9IPPEtkYgW6dYYr9F+owtx95umlwugW0grc/q nRqfmwKK4m2wc4m8n3pVGnKtq7gbtTWlPurbxOOY1pZtKcDODQLxLSptA3uPSgVb5XYJW6+4 bRfbE1ufbYPdE5VmfHAIjs/zVTaOMM65ZilTHgRHBscGtZwviRPPg0PNmeG8UEwg8Xb/KhjQ Zzw6xsWe9hY5AYu5cmJBLo6u2y0Jn5528PH4eyI4UuGljomrGBxzXHw118Kg0AZ2fxoRkSBj ERuqcFGliF6ObZfZU7Y+jpH4xoe1jfcYFxtjrJsO0lfj3/5tvE4i0o9F4wjj/IChvCE41IRL odVKeBWzBn5RZUih0VJeLVl9JmuLBc+q3uMRHKn+vnM97NVz0bHeOyPtbzsb/6tBeBF7Yvdj 43b3rl8/Zu3z4Oz2C12X38KyN6vS0N+1u31zFDUhQxyglvIqyDpnsjYQHHE7TlaYIp1WBdQ4 oaRMFFgRYOB/NdguZU+Mfjyk3b3r14txe7eo0gmXOB6cPpJfpdsk1yXyss6ZrA0ER86mODUp +0ttva0eVU7N/rKjvCduina3/VL4l6PeVw2S9tRLy1qPI267e9eP254a5UMxONGES+GAxh3x 6Sn5VW4SqWBSq0iH5MoKVFmUrC12JLPIplKrCBCcInhP8zAIzmm6CooCgVshEAwyDiVc0uhQ PTh9Jb/KSSJlB82lXui25eTIClueTLK2wnwZjnomkC+WBRcE5x5zCQjOPfoZrQQCZ0Mgdooq EjjFITjRJGJZSaYoya8CHZElL5zUKtrdXFmRyo5J1pYgRL7cLI63KExwlmsGlusUNgnK8Pf1 KoaDsQhuSy0nUTZ9F7liA/0OO4cNwAZq2cB+ruqR4NRI1GZazk0iVRJAxpWVIDjZSaaWeiU9 OJMbb80M6tUdHpyzrXfy9IUHJw83PAUEgEBdBBoQnGi6cHZSp3lrxJvEjQAVWx41YZtHNltW WP+yJFMEXHKKgODkoHbBZ0BwLtipaBIQuAACAYITTbg0eVhmN5t9VNz39+bJrzYEyOqi7CRS doIm52h8BVnbDLaW/tlJpmoFGYPgXGACkGgCj+Cst7yvrnpc9inRD6jjagjsk59aiT2v1tgq 7Yl5cIQEspMSCch9v9odW60hi1Vn4yRT644XtqgETPV2VTzBZm7X52iwFALY9uch2YDgeBP9 8bRklHZz0DAezChaQxazzpIYoYwWO48kZWMwlkJc8/mjrv4AwanZq6j72ghgTuX1bxOCo1Si JCXiqY7SByXXsrbs4otx6mBc21HrqotSW5HXSw+88Y7MzI/eHqU7Q1xbOfLqDxCczC7HY8II 2IcuzpKYkTqnCkN12uqaEZzTIgTFsxGgDEZPbqEKV11kN8F+UFqvpAdMROuxkj3GR179AYIj 1a+opwSBz9dzeM0rjGkBU7TgKNGE8yxlTuXUd/WyIDhX7+ED25cejMdf48EJkJW/gmNoED/l w/jIqz9AcA4ckhDtR6DZYqO0A9JzaqmEaz0PgnOt/uyqNYnB2MU1HhyCo5wh4wlCtdIbdX+9 t2DPp+qmE4abDM/B6z7sTNmhufexnlo0q0z7BNvy/5Z8s3cVwLjo6o9CGwPBKQQQj1dA4KDt fnZLQHB4kIHg8PBCaQYC34evX78Hy/dxjQeT4EyxZD539ta7o0iO2dePX/cRP2XoTryf7/eo gSEyikTZpGqWZyXKDGEsc/UHwxSsoiA4ebjhqYoIjAuBp9mvqiimvGoQHB6G4zvoy7go5T2E 0kCAgkB8MKqX7zHXeEQyOlP24blXcNh5lOb8UXZwsIODJ2eRCXB2sPJ6cOY+sX4LYXzM1R9a PxAcythBmZYIsNJytFRsJwsEhwe/xgsEh4caSpMQqEBwxK/x4HpwxoZzr+BI7O8nid6EtfHU zF4aAYJTfvUHyQh2hUBw8nDDU3UQUOOPfhqxjg70WkFw6FjN8yYIDg8ylKYikCY4x1/jIURw thmonRNX8es+UltUL8t1/n7OsT0MguPD+MirP0BwqOMH5VIIlOZychcX78EeaynZx/wOgsPD HR4cHl4ozUAgP8hY5FqNJQYmpjKP4Ijo5SwXU0HGdoyNSdNubbE9nmM+HXPlgfLu2L/pYOhH YNst++oPhgX4isYJjh1zZG8lboK2rYrlcxTRG3ik7JiW8nrpYE163iZK0K62bbr3xK2TnsvJ r/v+GoSwjdEtQpX0261Mn/jm1BUXGRm81lJKy+tFtUcQHEr/oEwWAunVxhHXeGQ1pdZDBx0T jzansk5hgqMm6vUlw8pTIp2jiNPfR8qOs5xNbpdCDwX5KLXbjxwow2X3dbJyOZF1L9c2arfF trKdUz1YF8sox8Bbg7RepD4FwanUm6h2ihtJLs9qTIYnwZ40QCXawsC4gU4hm4iS3aRe0jmK OJ49adlSHscKehHIb41Fi0guJ4LuEqPNqWNnt6V94s6pyCM2npCKvmNAcMRtGhUaBCgEx7h0 z5IqXap3KS58KVlUjNvo5CU4sZxIk/rhrbYFpdwcRV6YOQRnrCBbtr0FSdkiaaRXbt6mQD85 W7uH5XJKbQdLjre5Lh8e2bai6rTmVOQRUxPDmLYjNm5AcCpYNarUCFAJDvC6EwI+ghPPiaQJ RDSlwARgTo6iEPJMIpElO5Y76Wi9zEtj7/2LeWj8/egS5yNzOdXwLkXHrtduS+x0nVORR2x+ y4zXbISdOCA4d3q3NG4rCE5jwE8hLkRwwgRmE1DoyRXkeHG2s5194sx4g7aZpm2CNOcqUrmC lv8oAbZZ+ZGs1edWz6VR58nbFEp50EsuJ1pKBnsYRbCnbL+H7IZrK6uBL9v+ybZwZXQ9Tqyx uAlMj+MAgnOKl8I5lQTBOWe/1dWaS3DeT8b2JTdHUbCpXA+O9jLt4gFulrcp+bKZSONxuZyS pEDQ9KN2y7UVKYJzM3s0uwhI9Cdo2KjKIACCA1vYI8DZonKSsFHS6XsDSec4F7Pi3p3m8PWS EMGJ5kfqVa/8vE2hLapecjm12qJK2m22nVK3qAKE+2b2CIKDN1BFBEBwKoJ72qqpQcbcPCXZ OYq8SPIITrZs5xoPiqfqAL04eZu8ga92IPWRuZxSAakyQyplt9m2MqlHCzLOlnE1e5zxggdH xrZRi4MACA4MgubBmabuaLAgkOwCAcJR6xr9yK4ztAWUjJvpAuWIEpRj4r23QVC/pD0iBkcQ bVTlIgCCA4ugExx93xblqDRQPQSBZC4io1WNfmTU6dOTrPshyDKEbudUBi4MKacoSupTEJxT 9OU5ldy4pj03aZ+zXdC6BAGVnt85oeScilDbCJStmhIN8CwfAW6OpBr9SKnTpydXdz46tZ7Y b3eZLT5bIgWXWhoeVa+/T0N4YYvqqH6CXCAABIAAEAACQKAaAv8DboVohfoFR28AAAAASUVO RK5CYII=</item> <item item-id="4">iVBORw0KGgoAAAANSUhEUgAAAfMAAAAtCAYAAAC6TIKgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DBtJREFUeF7tXd3RnLoS/G4CN4KTwcZDDn49737YAJyHqzYH5+CHTcAZOIM9CBBIII000ugH 6K1yre0FzahnUOu3+d9n/HzhAwSAABAAAkAACJwXAUXm+AABWQRen+HrS3USrT/DS9YKSgMC QAAI3A2B13BsW7/GxvXrbkCgvjUQGMkczF0DaNgAAkDg9gjM7S3I/PaJUAIAkHkJVFEmEAAC PAT+/v37+fXr10d9X/cDMr9ubJvXrDWZvz/Ph56Kenyebzcg5nSVnkhY/+/x/HhuY6Nbyw7b MdwQQEAtFw0ftTrUawzl/RrrHJH78nZdoZiX6+In+bZ4qdIUgaulvj9//kzfM6HH1e9cjwbI /FzxOpW3bcn8/RxWAp8aHapxeg2731+fp4/9c2JQy06Oj7jXQEARw64j2GsMpf16Pz+PpRND poS03az8O8br58+fn+/fv0+l/vjx46P+PX1i65flT82bQeY10b6ZrbZkboEdfHDnUfw2Mp9H YvKfWnbkPb9jiaoTeBwR9hrDAn4pog4OiQvYTUw2V7zUaFxNsauP+lb/Xj9R9Ut0pvptIPPq kN/HYGdkHpo21COMkfifByY3d+bvp+yp3xzRTrUzdUjmZYNHiVmD+yRmXE0V3r6cSY2hmt5d T3f4l37iHKyRW4qoI/xMxsOuw/v52E6+aOynvF98WP9u4Kg7G554qefl9+/fkyH1bZH5uIgW Vb/kgNS8EWReE+2b2eqIzMfGJkyAyxr7oQHfjzwUoeqRO/WbL9ypdnSj6pj6vVlm1ajuRCze UWlqDM3ZHzOPpGqU6pc/t9yzE3t/U+zuy7DXut+v10i1mrSVf2ZHaHn+VCdiIXpfvBR5f/v2 bZpiV982mc/7IIKTD1LhKVoOyLwovPcuvBcy3212WUa4zgfYNe1mjgxUQJ0jhSXSh988DUWS HZzXr/k8KXIgO4BJMTRGufu8WitnbtzcnSWOYZ0kv/y5ZeEg/uzYz4feUGfhHvm8+eJFj8zV 4xyIc82ky7IFMs+CDzdTCPRB5q+Bsf7tagiN3v9UW7NxoX4joXGsRVJlBdf8kYnSCAQb+Vq5 wq0Y169AbgVx0P5x7XrrpUfgy3MrQOZ605v63o/Mo+vHjUP160Hm1SG/j8H2ZK4e1HUwMzYK Q2it2bkhZmlctt1xxs536jci0mw782htHbGM98cM0u6Ta/I1pafZR3vsGCbmCrdqbL/o3Iqe hmbb3VfMPkHyGvbr5LuO9K5j7YuXWidX0+vqo771+vnWB8E0OzfFcH0mAucTPmhL5ke5Q3oj j7X5Zs+Uxuazbb18CSj1myPmInbA5JlPU8TtxAY4kRjGHPuKcNO8RMQvK7fiNogl27XqZ66J j9P+kx/GksNj7MCuuhFq1G7+NupBEPFSR9PUmrk+oraZjasfMwyNLt+NzGNFAI69oJBAx7a5 IdaGFCI17ZWy1afwQWgjVlsyl8oflHNfBKJHpVeF6GRHt9jxOln96DRzTbMHRADWXpjRg6MF OhyNfm2hgZr2Ctg6p/AByPyqbfx96hXqsF4YiVPu02DE65T1o/LNuWYeFgEg15N2IPUhvBCu k9xjKW/rnMIHIHO5nOq5pDHfBznZ2/5qqp5nxibK/iqQ4JF9TCyhgIa3xMTrzPXzQevbAEeK AMzb+b1nMM21i56EF1KFDVLEOlJteeKUJXxAHSfJeuRCveB/P//882+WBdx8BgSuTuZniAF8 BAJje/v/8ZTMEQifCMB8JUnmhkBHX8ILKcIG5gaJEHmZKKbY8qejjPBB5vlVyz1TzIHuKeIh uzoCIPOrRxj1OwMCs56G+xWoxOYAP0nbAh3BM3xJAgcxwgse8JPsJYp1cG0R+dJG+CBA/i7R C2sWwD/NruqDP+fAwJ2WRG4QsrmI+Tlijjj1H6fjcylM5nuBjiQyLyHSoWvOFTbI2STBtRUg 83zhA8mR+TQ9s2kmO33HmvkZ+vP5PmJkno8hSgACuQgIkrlLoKM74QW2sEGGWAfblj+YXQof gMxzn76L3A8yv0ggUY1TI+Ahc1IEYBo5L9MQy/E0r0BHdeGFncqSEZxkYQNTFMQSVChgS79Y wCEKkix8UGoDHMj81I++nPM8Mt/eGrZNZUIDRy4aKOk6CBx5VYvpuOpIjcyFMGEf5Bew+3rW OypTwharzFbCByBzgUy9XxEDmPt+QUeNhRCgli4rkPkoYjy+wzfinbgi1bXPeIsU6S2khC1m mTlr+rngBG1jzTwX4pL3t5IHBpmXjCrKvjYCzclcwRtzkP/aYZCvXSPhA2PZgR5kxZL5Vo9S cri52Mv7ZZ/64Ps3L/HED3LtXGkpDwwy50cbd5RAwNwQfBZRoC7IvEQwUGbfCMSQuWPWpoAc rghO0n4FZzZEvB4LOWLcUh4YZC4VV5STgwAtQZ5Tcsl7QeYl0UXZXgTCZN5e6pezeUteptf9 Gk3ZlHJh3FIeGGQuG1+UJoBAtY51rq8g81wEcX8SAgEy70Lql0PmapA7nuRQoiij70/1hkbr o1Xx1C7t3R4RryRw+BWM1ikMLchibj5c/27Y1/PvHoyz5IGTcmG7CWSeCSBuL4BAoyVLdk1A 5mzIcIMEArQ2ex9Sv0wy1+9QPqic7UftitD1OhwtCUyf9rAbmfdLvcVZk7bqMJgdiMWeIbrk w1hGHjgtR0DmabjhroIIjJ3e4fkuaECqaIrMvdrsUsZRzn0RoEfmSeqA++NwzhHqgrj36Fya FOkaR65Mr6lTsOgzmBvXLBwcmgB6893DbGwi6+3DuI088IwgyPy+LUKvNWcdBW5aicDIfGxY 3NrsTZ2G8fMjUIDMxaV+uSPzMSpcmd7AelywUzMlgh6BL6NvATLPlwdOy1CQeRpuuKsMApZy aRkTgqWCzAXBRFHxCITJ3Psa3Ym/xvXpw9mrhdT0/1s7zKnffF4Lkfleuc/yi5YEDk2zP40R +WtY1uIZZO7CuKU8MMg8/gnClTQCuVoJdkf69TGftT6xB5n3GZfLe5W+AU5Eendds6aA5pG5 iF9WByW0Ac5cE9dSjsYywWMYX3uoZVHVqN38bd6o9/C8xSxZHjgzb2kyN/cImMshftEpeQ2A +Aq2tE15Ke8XVxchZkNZLa0Et+9eCfL48HuudOetTExA5tnhQQEpCKQeTUuxddJ7KkjxsuWU C/vkJ3P7PDzrHLC0BgAnnVraphl9PnmxXpM58ow+vnXUNeDA6b72WCZLKyHa93xPybzNzhWQ eX6EUEICAmEyryv1m1CFkrdUa2AYjWsFn3xkTnY6gn5JawBwZmykbUvNJBXwK6Kjx+48Rjxj IloJEb5HuMK75JC3uTEBmfMCgKuFEIghc2XqjlK/MdOQQmGYionBuI5PTjKnNAcm9/3LBdvA M1EDwAkzh8zHAlL1B9aNjQ5tgpZ+peoieOLUh1ZCaElL8nlbynLhkZwrqkyQeYEoocgwArFk Hi4JV1wHAReZ05oDM1laR/N8RKf2D7A0AHy4Msk8WX9g09ef11RDGuG1/NJ7FI6zOtTI2x1H u5PYUiuhxKwB+WQ683ZZU0/KU5D5dVrCU9UEZH6qcFVy1kfmfrLebWBynMW3Ruf7ExCUNoFV 5xb6A8bGvgvoIviOWfailRB3DNRMCiIngm85IjYNcrUqtgQndBrm9hbnzCs1ZPcyAzK/V7zj assl89cQGq0adrkaAF6XuSPgZap938DfTBeBJkt9MqOdVgKfzONy2nUVmbfJeYqReXpEcGcG AiDzDPAueytnmt0S9IiR3GRrE0hNs3vInNQfWMjNqZnQ0q90XQTfNHsvWgm1ptmDeZucpyDz yzaMfVcMZN53fNp4F7sBjnsOOFkDwLf+PpjHumiskm1bUr8xMxC8GQMRvzi6CM4NcHpEvugh TOW10EqoswEulLfJMZlSEGTeptW6vVWQ+e1TwAFA0tE0ANkHAhHHu0qMftll+qaxg+vcfcDs 9wJk3nuELuofyPyigc2qVqxoTJYR3CyPQPCsvzbJ0DWI9pJRpsvPaN+jHWp0Ici8EfB3N7ub XnO8MezuCN2x/sOSB+rNbfrPNmCKOQ9/R9Ra15mrQVAijjFluvzk+t4a683+ccpeSzqr05rb 87M+S9jN3k/w4AkQAAJAAAgAgVQE/gMPGUP/t1tU7QAAAABJRU5ErkJggg==</item> <item item-id="5">iVBORw0KGgoAAAANSUhEUgAAAfMAAAAtCAYAAAC6TIKgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DCFJREFUeF7tXcux27oSPC+BF8HNQPEwB2/v3gsF4DxcpRycgxdKwBk4A12AJEiAxG+AwYdE q8ol2yIxg54BG9/m/z7i84UPEAACQAAIAAEgcF0EJJnjAwR4EXh9pq8v2Uk0/kwvXisoDQgA ASAwGgKv6fxs/RIP16/RgEB9ayAgyBzMXQNo2AACQGB4BJbnLch8+EQoAQDIvASqKBMIAAEa An///v38+vXrI7/v+wGZ3ze2zWvWmszfn+dDTUU9Ps+3HRB9ukpNJGz/93h+HLeR0a1lh+wY bgggIJeLpo9cHeo1hvx+iTpH5D6/XVsoluW6+Em+PV6yNEngcqnvz58/8/dC6HH1u1bTAJlf K16X8rYtmb+f00bg80PH93B6TYffX5+ni/1zYlDLTo6PuFdDQBLDoSPYawy5/Xo/P4+1E+NN CW67Wfl3jtfPnz8/379/n0v98ePHR/57/sTWL8ufmjeDzGuiPZittmRugB1suMsofh+ZLyMx /k8tO/yej1ii7ASeR4S9xrCAX5Kog0PiAnYTk80WLzkal1Ps8iO/5b+3T1T9Ep2pfhvIvDrk 4xjsjMxD04ZqhCGI/3licn1n/nHK3vebJdqpduYOybJs8CgxazBOYsbVVOLtypnUGMrp3e10 h3vpJ87BGrkliTrCz2Q8zDq8n4/95IvCfs771Yft7xqOqrPhiJdsL79//54NyW+DzMUiWlT9 kgNS80aQeU20B7PVEZmLh02YANc19tMD/DjykISqRu6+31zhTrWjHqqWqd/BMqtGdWdicY5K U2Ooz/7oecRVo1S/3Llln504+pti91iGudb9fr0E1SrSlv7pHaG1/clOxEr0rnhJ8v727ds8 xS6/TTJf9kEEJx+4wlO0HJB5UXjHLrwXMj9sdllHuNYGbJt200cGMqDWkcIa6dNvjgdFkh2c 16/ZniQ5eDuASTHURrnHvNoqp2/cPJwljmGdJL/cuWXgwN52zPahNtQZuEe2N1e8/CNz2ZwD ca6ZdFm2QOZZ8OFmHwJ9kPlrIqx/2x6EWu9/rq3+cPH95oXGshbpKyu45o9M5EYg+JCvlSvU ilH9CuRWEAflH9Wus15qBL62WwYyV5ve5PdxZB5dP2ocql8PMq8O+TgG25O5bKjbYEY8FKbQ WrN1Q8z6cNl3x2k7332/eSJNtrOM1rYRi7g/ZpA2Tq7x19Q/zS7skWOYmCvUqpH98udW9DQ0 2e6xYuYJktd0XCc/dKQPHWtXvOQ6uZxelx/5rdbP9z4IptmpKYbrMxG4nvBBWzI/yx36N/IY m2+OTKltPtvXy9eA+n6zxJzFDpg8szVF3O7ZAMcSw5hjXxFu6pew+GXkVtwGsWS7Rv30NXEx 7T/7oS05PEQHdtONkKN2/TehB+GJlzyaJtfM1RG13Wxc/YhhaHT5YWQeFgHwC3G4e7P75oaw DV4satorZatP4YPQRqy2ZM6bRShtRASiR6V3BediR7fI8bpY/fxpZptm94gA+IQ4tt7ZadRg eejXFhqoaa+ArWsKH4DM7/qMH6deoQ7rjZG45D4NQrwuWT9fvlnXzCNFACxg2EbmfQgvRNaJ pW3y27qm8AHInCWdui9E5PvEJ3vbX3VleyZsouyvAgkemcfEEgpoeEtMvK5cPxe0rg1wXhEA ba3wcCb3ROY9CS+kChukiHWk2nLEKUv4wHecJKvJhXrB/37++effLAu4+QoI3J3MrxAD+AgE xPP2/+KUzBkIlwiAdqVFiONI5n0JL6QIG+gbJELkpaOYYsudjjzCB5nnVw33dDEHf08Rjezu CIDM7x5h1O8KCCx6GvZXoHo3BxyEOLbBuqmaFDzDlyRwECO84AA/yV6iWAfVlidf2ggfBMjf JnphzAK4p9llffDnGhjY09KTGx7ZXMT8GjFHnPqP07ldJpK5S4jDNjInqyiVEOlQNacKG+Rs kqDaCpB5vvAB58hcOOtUsNrA/kw4QnWFLn2mjxiZZwKI24EAAwIJZO4T4qBNswv/yUIDmcIL ZHsZYh1kW+54dil8ADJnaIB3KAJkfocoog5XR8BB5i4RAK8QxzyiXqcnAm+ykbAlCw14RToO ZK/Fh8WeMdIsYEu9WMAyok0WPii1AQ5kfvXWz+Q/jcz3t4btU5mYwGEKBYq5FQJnvlViOrZq +kbmTLCQD/Iz2H096x2VKWGLVGYr4QOQOUOmjlcEll7GizlqzIWA77hvBTIXc+niHb4R78Rl qa95xpulSGchJWwRy8xZ088FJ2gb58xzIS55fyt5YJB5yaii7Hsj0JzM50n1AYUXSqdVI+ED bZnDPz0aS+Z7PUrJ4eZGgt8v+2mQeD+XJZ746WkzV1rKA4PM46OMK0sioG8IvoooUBdkXjIo KLtPBGLI3DJrU0AOlwUfbr+CMxssXotCzhi3lAcGmXPFFeXkIOCTJs8pt+y9IPOy+KJ0BwJh Mm8v9UvZvMUv02s/zcGbUDaMW8oDg8x544vSGBCo1rHO9RVknosg7k9CIEDmXUj9UshcDnLF iQ0piiJ8f8o3NBofpYond2kf9og4JYHDr2A0TmEoQRZ98+H2d81+4DRJljxwUi7sN4HMMwHE 7QUQaLRkSa4JyJwMGW7gQMCvzd6H1C+RzNU7lE8qZ8dRuyR0tQ7nlwT2n/YwHzLvl3yLsyJt 2WHQOxCrPU10yYUxjzxwWo6AzNNww10FERAd4un5LmiAq2gfmTu12bmMo5xxEfCPzNtJ/aZJ kW5xpMr0GroIy9lqfeOagYNFE0BtvjOUFK0j89VD7TcXxm3kgRf/QObjPhF6rTnpKHDTSgRG 5uLBYtdmb+o0jF8fgQJkzi71Sx2Zi6hQZXoD63HBTs2cCGoEvo6+Gcg8Xx44LUNB5mm44a4y CBiKpmVMMJYKMmcEE0XFIxAm8y/f2SqyHO5KeKrM0+5zm+dMZH5U7jNs+yWBQ9PsT2367zWt a/EEMrdh3FIeGGQe34JwpR+BXK0EsyP9+uhtrU/sQeZ9xuX2XqVvgGOR3t3WrH1A08icxS+j AxPaAKeviSspR22Z4DGJ1x4qWVQ5atd/WzbqPRxvMUuWB87MWz+Z63sE9OUQt+gUvwZAfAVb 2vZ5ye8XVRchZkNZLa0Eu+9eafL4FLBcac9bnpiAzLNCg5tTEUg9mpZq74L3VZDiJcspF/bJ TebmeXjSOWBuDQBKKrW07Wf05eTFdk3myDP6+JZFO4KCp/XaTK2EaN+zHRXvHJnExtSlnJnA 9Rhk5wrIPD9CKCEBgTCZ15X6TahCyVuqPWAID9cKPrnI3NvpCPrFrQFAmbHhts01k1TAr4iO HrnzGNHGWLQSInyPcIV2ySlvc2MCMqcFAFczIRBD5tLUiFK/MdOQTGGYi4nBuI5PVjL3aQ7M 7ruXC/aBZ6IGgBVmCpnPQ7A0/YFtY6NFm6ClX6m6CI449aGVEFrS4mxva1k2PJJzZR7re06D LL9hN3uBOKLIWDIHUiMhYCNzv+bAQpbG0TwX0cn9AyQNABfyRDJP1h/Yjykua6ohjfBafqk9 CudZHd/I2x5Hs5PYUiuhxKyBt+1a83ZdU0/KU5D5SM/KjuoKMu8oGN244iJzN1kfNjBZzuIb o/PjCYnjq3qP/95ubqE/oG3s68qv/V3zFF0E1zHLXrQS4o6B6k3FkxPBtxx5Ng1StSr2BMfI vJsn2VCOgMyHCndkZalk/ppCo1XNMFUDwOkzdQS8TrUfH/CD6SL4yVKdzGinlUAn88iktlzm zdvkPMXIPD0iuDMDAZB5Bni3vZUyzW4IesRIbpK1Cbim2R1k7tUfWMntRroIrmn2XrQSak2z B/M2OU9B5rd9MPZdMZB53/Fp413sBjjqOeBkDQDX+vukH+vyY5Vs25D6jZmBoM0YsPhF0UWw boBTI/J16n4ur4VWQp0NcKG8TY7JnIIg8zZPreGtgsyHTwELAElH0wBkHwhEHO8qMfoll+ma xg6uc/cBs9sLkHnvEbqpfyDzmwY2q1qxojFZRnAzPwLBs/7KJEHXINpLQpk2P6N9j3ao0YUg 80bAj272ML0m3hZ23Bk7OkIj1n9a80DmgvqzD5hizsOPiFrrOlM1CErEMaZMm59U31tjvds/ T9krSedVXe7YlnDOvJ/gwRMgAASAABAAAqkI/AdP4kP/gj0/AQAAAABJRU5ErkJggg==</item> <item item-id="6">iVBORw0KGgoAAAANSUhEUgAAAfMAAAAtCAYAAAC6TIKgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DPlJREFUeF7tXd2x2ywQvV8DXwXpwPWoh7zmPQ8uIH1kxj2khzzcBtJBOnCEJGxAsOzCApJ9 PHPHiS3Y5bBw+D3+7z6/PvACAkAACAABIAAEzouAIXO8gIAuArf79PFhBone33TTtYLcgAAQ AALvhsBt2vetH3Pn+vFuQKC8PRCYyRzM3QNo2AACQODtEVj7W5D52wdCCwBA5i1QLcnz79+/ 91+/ft3NO15A4B0ROHobqPcPZP6Ocd2pzFIy/7xfL3bp6HK/fsbddJeX7MT/8dnlek8kE5e5 lx2xY9kEZntjutvdDNNJmK2OP3/+LO8roc/PKGKVdYl8wPX3WDEQc/uocaHvFy9G9O1GUV+2 7PgLfUdvAy38A5nX9UNITSAgI/PP6/Qg8KWDoMjmNgXf3+7XFPvX1FEvOzU+emlNJ+EPhH7+ /Hn//v378tSPHz/u5v/L6/N6vzikr+aCKCPf30PGQJzR+8SfCEszRlNuF9wY0bYrLfep2kCr NgoyrwobJKYQkJG5l1O2E1lncM+Z+XMmqlsnvezoeG0GQeHsxczGzRK7eZl38//Hy3TC/OmO jpNOLjF/H193j4G5rifuyk7PuBjsFytGeuJBh+HR20A7/0Dm6h0UMrQIVJJ5bhnYzgbmTv+6 OyHvnqQPl+yp7yK1V2pnIaN12+BCrRo4z314M+W0n5/Xy/OGgMXJ5BPBzNj//fv3UjDz7pH5 vClxvaS3NJrGcsJfj8ybxUCsZBLSdGbBrePP1BF7kFHhVzJemTFS2k6CqkjGtl1xWvw0Meu0 DzsgbdUGTtFGQeZN+6v3zryCzOeOgSTABdhtf3XX4YezBEOoduZOfZeqrVI7liT3y2rO1NhZ Fl/trOWm/PT32z5vt+WcwNIJRmbZhry/fv26LLGbd5/MzcqsZC9SL6JT/rqrBm1igKhnCWn2 jL8ufqXjlRcjJe0krItYbFvSDgjctmkziNiIvk0bcNvvkdsoyFyvd0JOAQKlZB4cvNlGxdHV 4NgS4GPkvrnj/j/7XYLYiuxE7teHZUktYVJ+LpOv/YzfdGQx8qNn5usgIE+a+sFN220YA15R 3AN3wb3d3KqAyacoLpyVkLCen8sSzmHQXn6l9SC8ulJvj36bi8X2er5jw41oGypt4LRtFGSu 30shxw2BMjK/TYL971hn6ozU1wm80xFQ31H1JrWT3e+1EIUHlpzP3YNs0U7fzlhWvKiOzB56 M+/hzPyIZN40BpL1LFzOTpG5evx18CsTr+wYkbaTZF34sa1B5sVtYHe476htFGQO6m2GgJzM TafxmIHPHcyUO6EendluHcHzdJxz8pj6jgBCbMddjltncPFzZqs/z+/mdMsBALoM7sn927TO WFJLjGaf3Cyvm5d5t/vntrS8JVT9IEn52z4GUmVRIs1M3S2qiNHYHOkXHa/sGBG3k7DM/q0U G9sSMo9tNdW1gbO0UZC5fi/VKMd6UYFGjlGja8FJ6b08IX0wyzsoE9pJHlixM3W7pJhfBVCx Q+Hg+Rouwcb8dA/GOcRAHCgzV9PMnrm9ovasMubhphahE/G3WwxEyyMjc5W4YF0NHOCXF6+8 GCnGw6uLWGw7WyGXeVD80KIwbdf9br6J0KoNnKKNBmSeFwBIiTqkPn+M/x9CFnkbuj1HT3ut bB1T+IM62LWsQULOVTeUs7mxZ1DPaflxr6ZlS4sHuiDAuprWxROWkaO3gXb+xWbmhABAStSB FnuIdPq9RQZ62mtg69jCH6k2BjJn9T6qD+UGWI4x7r6+qn/7ZdVQ5KapOWQuQ+AQMSJzed2i Yl63HFK+Vv5Fl9mZAgApIILP4yMRpg1pPSaf72lP39aRhT/SVQQyVwtfUUYm/nLbB/4VIFH2 u4dly8B7Wxx/6zxE6hIENGOkxH5NGk5MjSxfC/9Se+akAMAGcmp/wv2c2MN4SA/OzzQV/XCX FM11E6k9Z7+EfYVHSUDBul4l/EFdJalpL9kR8Lf7ly/fqiwg8RkQqCXzM5QRPgKBoyMw97f/ z7dj4qPlvD52lNwcwQ9aGKJEZKBE9MOWrtQeR/wjRLDEVjpYdIQ/iDu1goNqq5f2oAq1nIWZ +dGbv45/IHMdHJELEKhBYNVmiP8EKnnwYU24/4Uq//Ps/cRmogsJUIrspcUUSOiltojMxgh/ ZMg/dvfZWwVIk7kpD/7OgUE8LMvEVlDn56hz1NPx62nfLgvJPCXqEH5eRObqogtOsaWiBjUH JKS2MmReLHrwyFdzZj5nmlSvsgYxM68ZZ58nLWbm56krePq6CBSQeUrUIfY5R395f8m/gejH g19ivxJF2eOKf0RCpFpA4ZlnnehBo/AFmTcC9mzZgszPVmPw9xURSJB5SgAgJeqQFHsgDsAV iwxQgiCh+pJTZyr2vL3lYBCgYYvwv1j4o9UBOJD5K/YIBWWSkfmigBb8iY9sFHiJJEDgbAjs edURidoVhpqZK5VcfElewe7tyv1d4npjLWyJ8hwl6gAyrw+eN8xhAnO/Ya2jyDoIUFuXHchc dIm/usT+affq7MgMWtgS5lmzp18LTtY29sxrIW6ZfpQ8MMi8Za0i79dGYDiZG3g5l+Rfuxr0 SzdI9MDZ5qAnWVwyf5ajlRxuLfb6fqVug3A9Xbd4+JNcP1ZGygODzLl1jOfaIuAeCM6JLLX1 hJ/7Icic7y6efBUEOGRuSCa4q95ADlcFUW2/sisbKl7PmewxHikPDDLXqlfkU4MALUFek3PL tCDzlugi7yQCeTIfL/UrObylL9O7qCDyp9dFsRbDeKQ8MMi8qBqRqCUC3QbWtYUAmdciiPRF CGTI/BBSvxIyN5PcmXxVJYHNAEHwU69WqMk9fPj4t1Xly/8sapU8cFEsPBOBzCsBRPIGCAza shSXBGQuhgwJNBCgtdmPIfUrJHP7+8k79UNKZtgl7P2SN33bw+9kPm/mF5wtaZtBgEPg9rex HdGlFMY68sBlMQIyL8MNqRoiMA+Ip+tez7ShxcKsKTJParMX2kIyIPBAgJ6ZF6kDhtfhojPU zYHk1bkyKdJnsSJL41m/0pLAHg4RTQB7+M77HQRmuVMYj5EHXhEEmaOLOBoCoqvAQ53PzMzn Lbu4NvtQp2H8/Ag0IHN1qV/pzHxbag/3uSm/Mvtx2UHNEgh2Br6dulUg83p54LIIBZmX4YZU bRDwlEvbmFDMFWSuCCay4iOQJ3Py8JdYDncjPEu0u9PnMc+VyDxU7vNs05LAuWX2q7P8d5u2 /XUBmccwHikPDDLntyA8SSNQq5XgD6Rvd7etHRN7kPkx6+XlvSo/AKcivWv3kEmcZWSu4pc3 q88dgHP3xO3BNmeb4DLNv15ol/DNrN39blZBJA4ZFssDV8YtTebuGQF3OyR9SFBfA4BfwJG2 KS/1/ZLqInAOlPXSSoj7npQg51d/4sl43OrUCci8unqQQQkCpVfTSmydNM2gq2kkWo19SpO5 fzhQdA9YWwNAEk4jbdOMvt68eDxTOfNkX9+KaEdI8Iw+W6mVwPa92tH5xySn+WDqms9C4G4d VMcKyLy+hpBDAQJ5Mu8r9VtQhJZJunUwgs61g08pMie3G7J+aWsASFZstG1TQTfYL8ZAr8Vv cahoJTB8V2/uu7itjRWQuXodIUMOAhwyN/m8o9QvZxmSgzH3GQ7GfXyKkjmlObCEyPV+2V0H DMpeqgEQhVBCmssUrEx/4HGw0WyV0HoDq5ud/HIkm71bFEtbJfxM1JO3PTVMKyG3pcVtS4Ln YngUx8oy1ydug6zf4TS7oH7wKBcBLplz88Nzr4BAjMxpzYGVLH1SiSGx7VWKNABSiApJs1h/ 4Kmvv+6p5jTCe/llCXu/qkPNvOP16A8SR2oltFg1INtkNG5r4hRk/gp94AnLADI/YaU1dzlF 5mmyDg4wRe7iP5yOLaVSGgBeaUfoDziz3BfQRUhdszyKVgLvGqgbFERMZGWYiUODxXEKMm/e QcFADAGQOeJij4CUzG9Tbrbq2Ih1kpQGQLKCpDPgdfVgdw3wzXQRaLK0NzPGaSXIyby8BZNx K42V52gVy+zlVYKU5QiAzMuxe92UkmV2T9CDI7kp1ibQWmZPkDmpP7CR2wvpIqSW2Y+ildBr mT0bt8Vxipn56/aMhy4ZyPzQ1TPIOe4BOOk94GINgCgOspl5sW3noFl+v9w4OsAviS5C9ACc nZFveghLfiO0EvocgMvFbXGsLHEKMh/Ubb27WZD5u0dArPxFV9MA5DEQYFzvajH7FeeZWsbO 7nMfA+a0FyDzo9fQi/oHMn/Riq0qFlc0psoIEusjkL3rb00KdA3YXgryjPnJ9p3t0KAHQeaD gH93s8Hy2se6zHb6wfG7V2tl+actDkws2L9nTHDuw1c6gOQFCEg1CFrUIyfPmJ9S3wvgaZRk v2RvJZ03dbmwLeGeeaOaQLZAAAgAASAABDoi8A/KdE3HWDglNQAAAABJRU5ErkJggg==</item> <item item-id="7">iVBORw0KGgoAAAANSUhEUgAAAkAAAABNCAYAAABOm9vBAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA FBdJREFUeF7tXc114zoPzbd6TUwHaeI14R6ynX0WLmD6yDnevQLSQxbTQDpIB/oEWZKpH5IA CYK0dH3OHE1skpe4ACUIBMn/df3nBR8wAAbAABgAA2AADJyJAXKA8AEDpgzcLr3TfelupqAA AwOZDMBuMwnMqX7rLi8v3aW1mwZsIkepmXU5NhEu85LZA1QHAyIGbpeX7qW5u5hIBBQ+IQOw 2zaUTnp4vf5tojOwiSbU0HFswlcGDlAbOjxFL/5eX9t7gzsF8xAyhwHYbQ57+nVJH7WdINiE vl5zWuTYxF4ZOEA5rKMun4G/1+4VkR8+XyjZBgMKdks33lpRT2tsK7zb5bWrFgiCTYjGZks2 sbYbOEAiVaJwGgN/u+srcn7SuEOtegzk2+1w8+9zV2o4QNbYpnjkhLxeO/vJMNiEZDw2ZxMr u4EDJNEmyqYx0BvdpdrrWlqXUQsMdEp2a/UGvKcxa2xLvCpRINiE+MbQmk24dgMHSKxOVJAy 8Pd6qReulnYW5cHAyICW3Vo+ANbKs8Y2xetXYFnnAsEm5LeH5mzCsRs4QHJ9ooaIgfyQsQgO hcGACgN6dmv6AFjJbo1ti9cvcTadBoNNpAyt9mziYTdwgFI0ijoCBnpjQ/KzgC8UbYMBPbu1 fQAs2bPGtsXTc0h4Ngeb4PFU0wY5NvEoAwcoRaOow2dAac6cD4iSYECBAUW7tXUKaj58uj5t ynbFm2keEGwiaWC1aBOT3cABSlIpKrEZqDBPz+4bCoIBHwOKdmv9AHBFssa2xzPML4RNJN0v WrSJKZcLDlCSSlGJzUB/08AMGJstFGyFAS27HY5K6JfB11gKb42tjPfz89N9fn52dPV96OFq dn+BTchHZ6M2MdkNHCC5SlFDwoDWTUOCibKnY2A4lmB0NKYH4vydkyi7fRulfICprrO5Huy2 qg2R00P6/P7+Hq4+JyjkAMVtwqP7UfKNrcAmnt4mJgHgAFVV5YnAcdM4kbIri0pvm4tVQbfu 6uw/tbcpm7useXhgTvVht1WV+fHx0b2/vw99+PPnT0d/732iEaCATXh13wPtbuAHmziGTYz6 pRclRICqqvQE4LhpnEDJrYh4f6N/RIC2u48H8xFol9iXsQ7stqpSKepD01/0oSv9neQA9XtF x2xiaNfVPSJAVXXvA9ezibuDCweoSTUfrFO/f3W/fh9MJojTLgPTG3//QLv2b3jrT9QBmiJA sNuqOqaH3dfX19AHuvocoP/+/Sd+f4nYxOwArfYU2tgKbOIwNjHZDSJAVVV6AnC8SZ9AyS2J OOZ1eDbICzpA7iof2G1VpZLD8/b2Nkx/0TU9AjSEd+55XqFNE3dWeCEHqKoJbMA1bQIRoLZ0 e9ze4EFyXN22Khm98XuWBvkdoNWuwhG7nVd2TSu8FK8cWkvhW2BzMTgRoEUO0DCN9ZgCXeAE bKLr9neUljpApXTic/7WPJbC5+orB5+LIbYJT8NwgDiMo0w+A3CA8jlECzIGEhyg22WVLwS7 lXGuXJoeplPiM13zIkB95wI2sdH9KIvUAVKmAM2tGNC0CThAMC8bBvAgseEZKA8GhA7QOopw oZVjyPeoalH0pk9TX/Sh6/Tmv+4UKweIKnlsYlf3PgcINnEYm4ADVFWVJwKv7QANG3FtVwOd SAMVRe2nFnxTEoV6NS9f3tt4cGdTNnevmHsIf9wLqLbdzvzcOfRN6RWicWzWAtuPQcvgKQdo Wg6/J2t0GXxfyWcTXt1PDtN6A0vYBHmSBvZoYxNYBVb27oHWxxuJ2U6tK8aHG1wtcGj/8Qjv 9fDq7MfzFNQ087C7s3W7XvtU3jofC+xUDI4DpMYabOIxpg3ssaRNIAKkNirQUJCBSjcN0xsj TCDKAOnjqZygSna7JXK5j02UaNUCFth5GKbjHDZB8bTFvkqq5jY3lofBsQk4QGU0h1bXDNS4 adBqkMzIT3C5dGEtW2Nb4Zme3J2rI5bdukcpPI7iGKbSQkuuc/u2elDsrr4pjl9b9jsJnIed Gt2wiQiVz2MTcIDURgUaaisCRIMwL+dndxt8IzVbY5vikWNa/MGspKidfWG2LW+XTy+O01Dq ir+Zmvg1sR+MuMdZlKf7wohi1ualJn5NbJlNwAEqPloAMDDAemtS5Kp/yA6reDI/VlGRvW5a Y1viPU0UiGVHe2eNOQeqZtpgvHpN/JrYD2ZM7Qk2ETHJ57EJOEDxuwtKaDBg7ABpvRFaOgVr mq2xTfFYkRUNw8tto3+blUyjejfhG1e0uCvM5q6FfhP2PwV/rENTaFn5WSnYQvH2i+dHe2Xd gE2w+WrcJuAAsTWJglkMmDpAejdEU6dgRbA1ti3e/q67WTZWpLLElsbch43DtD6Ik/KEpunZ 0G9SgVLxp2gVOWKpkasUbKl8vvLWtgSb4GmufZuAA8TTJErlMmDqAAnf0AKy2ToFy45YY9vi SR4iucaXV58bTfTm/QxvwY5j4f4d+k3Y7XT8ZeK2JOA1dTEJWyift3iFaCJsIq68Z7AJOEBx PaKEBgOWDhBrjp4nlK1TcCYHiNLCUqMNPN2pleLY07C54lqeMRdi/Zvr9IR+kwiQij/0JW+x wLC7corsEvkCZavYEWwirL0nsQk4QEqDEM1EGLB0gBTfCOEAlbNs7lt0uR5wW45Eq3x5DrPN r3a0pYfDvAou9Buzf1n492mKOfdHOk6zsJnyBYvpRXtlvYFNePl6IpuAAySz+kOU/vn56T4/ Pzu6mn2kN9acjmlh7RyZkNMtUV1rbGU8jo2Z7t0iIn+nMPGzOzcU2PNkM+01TTWtIi5OErL8 uBZlfNH8lwJ2pl6qRH+mPsMmdrT3XDaxcYDcc1GmsTB/N7y1SM/1ofLLhD+7DbssN2QqgRVr 0/2dN51ADybi//v7e7jenSCDJMKAUxK3ufs480VjNt9rOUCZN+ezVt+3sS0bT+UAjfYn8g/O agBWcitGelO7/Gw2nCrn09QT2sR+BGgRoiXRl+v6+WSsVxVYb5BkiVcCK9ymO4XA3Xjt4+Nj PlSQDhikv0fvIj8XIGQYMackYnO+jfp2v49h8Q0YJRMY8NrYqq1nfHjQOIMTlGAU2lW80Rdt oHh7sIk4RyYlEmzCMwW2XpqZliS3NQzrDZIs8UpgCdpkJjNS1Iemv+hDV/p7/iQYENuwo05J 3OYQAWKzXbVg0Macnj2jAzS8DtLhurmJw1U19MzgFqeQy/mBTcg506uRbhP+HKDpjbx/sF5v i7vWY0nnvJrB2chrej2KbXeftEFSxoZhKXipG4SlYMWswdvmWDHG91iMHk5fX1/DX3RdOEDD AXeBqbRYH0IyRB2g4clyTw5d29ws4utuHsbGMfr9q/v1O0Yofi/FQNjGHqj//fsP9FRKCWgX DICBKAOBJOgxv2RxZs/kgNBD0nVGxgiRs/QtvHomZYOknA3DUvFSNghLwYrpydemU48590kP p7e3t46mv+i6dIDub7fxEH8gN8lXmeMAjScM+w6QRAQoZidt/B6zsamXzxoBaoNl9AIMgIFc BsKrwPamRJibeFHDvm3VkzZIytgwLB1PvkFYElZEi/H8Hn4Sc+ztPKS3LGNjOUBjFMjjRGk5 QLtJ+MMRBfn/OBxp4Oy1YYHNxfBHGR8t+B2gBAe7b7YUr2g3f1yAQ3BY0wZ89y17B8iJEj06 VXDDsFQ8Zk7NgthUrNBTJdTmWO924edokRFOic90XUeAeA5QwgOqIQeI8xBHmXQGYjaGCFA6 t6gJBsCAHgNFHaDNvhlZGyQlbBiWhSfcICwLy6PQaJv3peFzwISxOym9mdPUF33oOr2pTz3g TYElGKClA4QcoAQF6VWJ2diEhBwgPc7REhgAA3IGvA7QvLyYpgUeT9hh19AhlPV66S7T/4cV EU5UYExkfV3kDylskBTcMGydCa6Mt5iWKYA17q+0y/Vmauaem+Tun3MPL7oJzP7M+Pf39yEH iK7LT90k6H2bm8NcjykOVxd7G/hxnS35eBHWSF+dIATaKW6BnWJjj64iByhfy8ktDOOGHzlO xkFF79iM51qCvNIMhCNAmejFogmBft2utFmjzacElnabovaqLoNX1FkzDtBdJpEOFGmwwk6V Dw6QsrKZzQ0vTnj6MtkqV4z04MuTLYeKll0GijpAww7Dm0PySilguUqsFMq93RJY2m0K20vJ eZKQbOmUWGIFORDqQMJntKwFdh4GHKCoEtULgHN1SrMa5OVcZkGgcoCBwg7Q5Cwg1Nq2FbrH lRTqqaVTwsKKHTNSiIe52Zr4NbEfvOJhXNrGVu3TS05m5Ce8vUlZeayxrfBqnGdmJVtZi8hv 3cAByu8kWjgAAyynRElO1p5IJY4ukfS/Jn5NbNcBugy5bPhYMEBOb96L6Jyjl+lEpUhrjW2K x9zENoW3vTqmsml1ulA7cIAKEYtmVwxYOkCM1XDr8+3uNwXegbI6uhUcc6ID6LRSE/vRjRpv vupUPkuDrDERF6Zm5MAa2xLPeixYyha3qnol4ADV4/5cyJYOEOWeSd5Sk44uyTiWZa35FPzU Y1o0sFUsNz8iodKNkzTiHpycI3LNB6c1tikeK2qdo7llXVPZ9Lqt3hIcIHVK0eAuA6YOkOTh mnJ0Sc6xLBsP5L61xMZhC2G42xXkLDRIkV3Lvvm7l2shnrcdyXgIs1TzwWmNbYtnOx5sZWt3 5MEBalc3x+qZqQNEG0Ty8kuSji7JOJZlrdR0fPkxLSrYWlZp/Mar1e3nbEcYEQ0IWfPBaY1t i6fnpHJs1FY2To/qlIEDVIf386EaO0C9B9RdYhm2qUeXrOutHSKudlPxNbYsSMXmyhYpZ53z oNTt52yGMxaYktV8cFpjW+NZjglr2ZjmZV4MDpA55ScFtHaAhr2aAqteoseMhI5eSTiWZTPz 1S9J7nfv3sx8zTyFMITHtKhia9ivXkRCozeHb0Mx2lbzwWmNbY/Hi1pr2Ku1bBp9LtEGHKAS rKLNLQPmDlDfBe/O1srHpIiPFFDGlyR8u0fWeI5YGZQXPHYmz8At33TzenqQ2lpjb+/YGSuK rLGV8X5+frrPz8+Orr7P9DAuTqmybMX7WxAADlBBctG0w4DWTVhIqtlNRdiv0xZXjEYclUP3 jL/Jt52/G85XdB1od+sGz/eVxt5R9SOVi5weOqvx+/t7uPqcINyrpMzml4cDlM8hWuAwUPEm XONMOg4lpyvjjcidjom4wMTV4jDpx95NboK/m0Tv+54ioaIgYbx3KCFg4OPjYz54mg6hpr/3 PnCABKQqFYUDpEQkmokwUPkmfH+DztsJFzpOZcDiZPrUvrVab70Ngsd2fQnx7veVx16rDFv1 i6I+NP1FH7rS3+kOUG8XF7sDv604qoUDB6gW82fDxU34bBqHvLkMTFGg3pm53jyN+Y5RcL// /av79Tu3M6ifygA5PF9fX0N1uvocoP/+/YehJzhAqXoIOZ37LqkmEto6NwNwgM6tf0ifwMCY 07OYCls148upcr/H2EvgXq8KOTxvb28dTX/RFREgPW5zW0IEKJdB1OcxgJswjyeUAgMuA8G8 Kd/uwavvI2OPHsil/nGU+czYXPk4ESB/DlBg1WjAOc7hlSPXEcrAATqCFp9BBjhAz6Al9LE1 BgIO0O2ynxe0+R5jr6pWyRGZEp/pighQVXUswOEAtaOLY/cEeQjH1i+kK8OAxwFaRAucnZ53 v8fYK6MbZqsU/aGpL/rQdYoGrasjB4hJqGKxiXPkACmSiqZ2GMBbKMwCDIgYGHbrnaannHXs 7j5B99/vewH5vm9nGXzN1YAW2H6M9/f3IQeIrr4Pbxk8kqBFgyhSGBEgTTbRlp8BOECwDjBQ h4HGxt7tWm8ZtwV2KgbPAapjQkdFhQN0VM22JldjN+HW6EF/wEAxBpoZe8u9jYrJu9uwBXYe BhwgW4sgNDhA9pyfE7GZm/A56YfUJ2aANfbSVhrpsVoTvyb2g8EyDlBMNt+xKnqabbklOEAt a+dIfcMZUEfSJmR5JgZYY2+7pN49ZqO8uDXxa2K7DlCJ0+DDsnmPTymv8CYQJvmRBN2EOg7c CWelyoGlhGhgoD0GWGPvcdbYNDUwJVfbCFQTvyb2g93bxT3YVot1gWy+Y1W0utJgOxPncIAa VM6xutS/ieBExmOpFNI8CQPCsTc8CF92DlAdVzk5K8+cx3d3mTdUzHyQp+CPdWhV3CstiUv9 pGCnYi3q0VRU4bMKvbKNHfEdq6IiX4uNPDiHA9Sifg7VJ4MBfii+IAwY0GJAMvbGnJDNy8r6 cFb3cOHQb1IZUvEnp4uctFQHLAVbKp+vvG9Xb632fbI57bOmSrX600I7D87hALWgj4P3wZ1v PrioEA8MNMUAd+x5836G6IHjWLh/h34TspCOvzzOIyXYnIQtlM9bvLDzEc/nKu2AaRGl2I7D ORwgRV7RlIcBVi4C2AMDYECdAc7Yo12nN9GTMYdk/Zvr9IR+kwiSiq+Ru5KKLZEvULZM/s8I GJJtLlJ4+k2JJ81mXM7hAGkyi7Z8HlD5eW5wDwbAwA4DkWkwX37IvIR+tcsxPVTngzhDvzGV kYV/n96Zc39Yy/6dfmVhM+ULFhPmaEkgo7I99sIZmuU4yhL8ZssuOYcD1KyiDtax4OnWB5MV 4oCBlhjwjr3AXjGbaa9pqmkVMXCSkF9epNEEZXzR/JcCdqaOy0V/4rJ5j0/JlKn16mvO4QC1 rrED9a/Mhl8HIgiigIFCDGDsFSI2tdnCuT+p3Tp0vR3O4QAdWuPtCUdvHqIXtfZEQI/AwFMy gLHXiNoQDbdXhIdzOED2qjg94j38Kg2Xn542EAAGshnA2MumMKMBi5PpM7p3yKphzuEAHVLp EAoMgAEwAAbAABgIMfB/Ja4if1D5Z/UAAAAASUVORK5CYII=</item> <item item-id="8">iVBORw0KGgoAAAANSUhEUgAAACEAAAARCAYAAABTnsXCAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AQFJREFUSEvtVcENwzAITOdhHu/DPMzjfaixIT6oVKmPNH3UUqQEm/NxnJ2HjnHcPYzE3eO4 m8DsxJ+EK/BXIqyQlZBmxzU9xKxtxki5W5qU7xHqrOR5tBbN0Zk2FrHGTI0DCQOPjRygSaCN Tfbc2jS+uzIhQXxvg7JDiDgJ2yfHgQSCfUACVAgVg7u0pSqqM7Us8dyOBLjZ5spDfq945sDa lzMf7atrdjy3A/qWsVZCVDhKAY+YglDtmFvrRBn8IW23qcZLO7IpTcoq7ZR8eGAZ0atDBTdT N7BjvoknEiLb2W5vpTP5urv1JGHHphrIYl/ggP+O1Vu8Jyqpq7T4iWv7CYsAMiEY6hYdAAAA AElFTkSuQmCC</item> <item item-id="9">iVBORw0KGgoAAAANSUhEUgAAAFQAAAARCAYAAABD/oseAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA Ae5JREFUWEftV8GRwyAM5OpxPfTgIvygAPeRGZ7+pws34A7SgQ4JCBiMrEy4uQ/MeOyAEGK1 K8gPuKZG64cAAjpaPwRUP1fDE6l9wNAXgQzQHcyksJ7Wz2Rg77vurbfdTKC0Lews6Hd8GqpR raCaEjyQP5o7gflyM8/nEx6PB+A7/y4Y6oItgLMuQPVfYOLmC3R2o9tg7AYmN+cSUDemA4rX ibrN79tg2zZKTNmwj8bSgAWTpc5n9PtsykM9W9YbT+ycLihmjQHDMPTt3Wq4mi+NE4FblqUy xz5SwKWjZrZzyTFgc2wRRt5kUvB9AsWBhMxERbUk75d1Zc2UhUIYUDBD0NZ1rSZhXwPQUEur yHx/7KZyoOo6VvCsXZf5nQMvTUxsXDuBxAPKM1wK6zzPTcnTWOmoWTeJGRkry9/SiIR2d7XO 6gCodVIPh8w9Qx1HqZQ1iCBQ1nEcTUBp7LQ/J526bobaWo6JAGVuDl8xFP16ULxSzg9fI3N2 C7Obmb1eL5I8nu6xxZMexxKgreyE+uRC91eWpPk/vQGwDG0cLBKGugxcXMfkwOJJji2+8+/s lGeYVMk8soGpnwLpsFsgNYR18gSWfYWTE6BZDOkOWl/F5FB6y1wNce5JIZ86HPY8AuOvZ2eG DEAHoJ0R6OzuF/iKO/sJKm/DAAAAAElFTkSuQmCC</item> <item item-id="10">iVBORw0KGgoAAAANSUhEUgAAAFoAAAARCAYAAABdN7utAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AhFJREFUWEftV8GRwyAM9NXjeughReRBAekjM37mny7cQDpIBzokLFsRCBs7vrkHzHjigABp tVrwD4TWtXY+Agh0a+cj0J2/RduBVKPB8DcICKBH8H2Hep0+vYfxb/xZ3WX0PXRuUHYDuNlv BzxKttTfgzcCWGw6SJZd9ebT4Pl8wv1+B/yV74rRwVkF6OCCk/8NZAROITJ6lwI5enATuvnk hPCDTc/x4Xu3JKkSY3g8HpRU3bCPxpaBAbxIe8y0zYRaR75ln4K2sLm3aDs4yI3hWrIfiWWu sRIAAnq9XhMr7KOqys6n7OZKSZaoSsI0Bxc1nTXX3Z6GIjuzewdJ9Fpq4n56raNA3263JBDs M4CetDoRrNjP3SQrc6nhGAOPyVirhMJ5sCKUJtAUIu4ty3+F7YHpSwxh9gFGXy4XUzpoTKfA 1GViowBQ/hds5sP06MFicbwMNIKV6myUwbz+RsLwYxBkQyW+Xi8TaBr7CIgyrDebtFuPJUDX HCRnMRrXzfmhmZ5JI8Z3gB3v9xtQJvC2wY1vHji2AG1lLTgQ95/KcNEOcSOJwM3aPM/Zrr1b LYuMNg69QPMyiEpCtvoi7fBmgY1/5bu4dRQYlsgFl5lijpQPixkbSrAYJAEy7S8Trvv4oMv0 05WOD3pe7wtXWPn9wTF8fJPsyV6bU49A+wSvx2zXjAb0LtjqJzWg6zHbNeMXz+l/TSu0eJkA AAAASUVORK5CYII=</item> <item item-id="11">iVBORw0KGgoAAAANSUhEUgAAAFUAAAARCAYAAACsPOAgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AgFJREFUWEftl82twyAMgPPmyTzs0CF6YIDsESnH3rtFFsgG2cDFBoIhmASUwzuAVDXFxjif f6B/YMbQx7MEEGofzxIYnjXXrVHldwzPE2BQV9DjgP31/Bk1rM/v3WRx1aPzbwTNnArzA6gl b5rrjHxxgyff7xfmeQb85s9Jpi6gEniLMoD/EVBYNSgHgwB5emZ+9H7i86DgzNW83+ACQTpx UGq4fj4fCmw6cI5kQbCAZtGzUW3fuMbJJt1Fgc829JVnHibDKRMj2Axww+YI7/1+n1biHFV6 1iY5kCsjdMa3hxR4ScZ2EW3XvJ1pVTrkYpS1xkwWqmlg1N4wu1lAanb1ughumqbTUpwToLLN o2V23lcctYajzEoyye1CD5eaIpkKwTuy0UAKvkhQ2dqi/WvMr9dLLH+SpSbEPpr2If67JLv2 sUnDtqfQO22QpSqyW6xamcPNBVM6K25U0rZtIlSSRW9EET+XNfXaVMZBlmQistZM9QYxYzMH EvqSy0R+mLlW0Jqw+75T+eOp74e/AaAsQJUiZJy0m7uyC/XPbgYlWVMiXi/KwUvaQNy9+K3A +tsKFU94HP6bP7PTv5A1PHMdeFtmSZaUZPztbpSX2IWPO6o7cI6kxQrLXP+SvZ66p/K7vHch ut9fp0TXqCXQ/6bWEruh36HegFSr0qHWEruh/wMdrkr2LkBx2wAAAABJRU5ErkJggg==</item> <item item-id="12">iVBORw0KGgoAAAANSUhEUgAAADwAAAARCAYAAACBzs+aAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AYtJREFUWEflVrFtwzAQVIbwFGxdB64yQVi4SmvAVboULjiA9zDA0r230ALewBt8dG9SelEk xUBQgIQCBEl8ia/7u3vyhchQU9MBwDWdTU1gWc0VAz6SUQ38PD3Vjlon/dZsqNF6RRto0v0/ KLLecu2OFI9vyLR5G95uH3S5vBOu8j5guEskgCFodZcgBIukKwJujYoAQhEcUAYuChH0oOt1 z4SFysUYx4aAJmOO/YvMZKSa6zI8sKvEv5BVoshPJWobZxnATqfXCWCMsXqjHnbyiU06Czjz bXG/cHN40GFOKG9UEMEyQJ3PbxPAGEsAdl5OyHYWcJ880xOKLAG2n9JFTgkwB/hw2CYlzbGw 6qFvw3g54OXru9UzgCNqut8/k4A5NgIEr0x8G/F2EUNLGcb3rjn9wMOPxxdLGt3ZY/OdGrEB cMp7XTLp5V9juMs7yDjo0sFqIklDJ8azv8p70aUzbEjGWQFunU6xvKRp5eYvXIflPsIXYrS3 KO6c/2TPXfPWcnlX/QtqqY7hb5s49wyfnDPnAAAAAElFTkSuQmCC</item> <item item-id="13">iVBORw0KGgoAAAANSUhEUgAAAEIAAAARCAYAAABpTnqxAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AcdJREFUWEftVrFxwzAMVIbwFGxT51xlgrBIldZ3rtKlcMEBvIfvVLr3FlrAG3gDhIBICiRA yY7lwjn5zmcZkATggX/wBcBBs3yaBoFYvn4YFhD6QViACIxgQGzBmQb1Qn7NGjrg/hW47nGU 6twKGmtzynZrMJRbEbtmVyh/On3B4fAB+Muvi4mwYKngocDW+sDB1jmTiuf2ualFIGDBGRA+ twgAFW6gpTxrdtmk4/GT3lvmizbyDQ4Lzm3TjX1Clc5nycw/GWIiWsOA6SfTtj5uza5MAxa8 270JINBGwKsdDeNGwbStgv5ietJ9U89esaVKIMr/OJHGN61m13LGYvf7d1EP2ipABC0oOcoL 8J3ARMZpMaI5Y+/2cTQgeDwOhGbX8tpsXqvUIF/50DT/pZY8RCcYWAjMTUAoU3k+f1eBIF9W BHJO6EKuHa2NQjWlDfNNRFULbtCIy+WHqIHbItYcNwf6BiBq3PbBolZgZ5Ju+PvtJD2mwNL9 cn0W2yHpU82ubw0EADdEBCJes60x0r0wIUSZ7IwxtlGCql8hjIJWNJUhFteSO88RPPcYM6tn bn4/6/uWI7Y8Yv+Nz886AeKE+V8KubeOX+BnDzkRdyouAAAAAElFTkSuQmCC</item> <item item-id="14">iVBORw0KGgoAAAANSUhEUgAAACAAAAARCAYAAAC8XK78AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA ARFJREFUSEvNVNkNwyAMpfN4HvZhHuZhH9cHxoaoTT4SEaRKJTj2u8gHaaWdiwHsXGnncFH/ dQBqTpwJ+eXasOSCTVBWzPLsXsiTAjIcbCCNXPb3jtZuDqBmYg1YlG5fUYEnxgcArcDE/jCu FYQO0G3KZAy7w+BJPfNHatVGMEbjfbXS6ocCR7lDIUBvaAqRMjDnoRazjs+sjnvw/9ArRdBE 2pgqq344HHDWGBTQTBJrywudFQtnYO9hpvr1/b5fMrCmnJF3UGsDuhumgrO3QQsRBnwKoDec VfgHwL2fr6YCG96TUnJ+DkB1j98BD5Y2lX24ptSVnv9i60HTOvu+cH3YP3O5rnd936f4OvZ7 Krcr8AUCdPmjEv4hfwAAAABJRU5ErkJggg==</item> <item item-id="15">iVBORw0KGgoAAAANSUhEUgAAAL8AAAAlCAYAAAATFzgjAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BDhJREFUeF7tW1li6yAMTM/j8/g+Po/Pk/tQNmMhFlFs0tZMft5rsLWMBkks+VL688IHCMyI gCE/PkBgRgReMzoNn4GA7XgAAxCYFQGQf9bIP9zv97ao17pXvQT5H06CGd2zxH+9QP4Zgw+f lULmBwumRQDknzb0cBzkBwemRQDknzb0cBzkBwemRQDknzb0kzu+r26rU9juDPv8++of1i8c ZwPhu2VTb7WrlYzJ8JrnV/2W+bzVtpzyg2HGOCv77s8n9Y3QJcmk44vaGgAMe988hu9NLZYo FTn2mTY9aSQ1D4bE+Dpn4kMuM2MiQ3e1tSCb2GGIT8FKAbATaxgon9Q3Qldd5ntbA+GbcDTk PbC2RD6SEolT9D0NqEt61ckh8bAoW3px7Dg74XUZ5cz8B0g/M8IEJD5ZjieRy0K9maTFlk/q G6HrBzIbiGXwXkgSM/Gxf5tkFwIVxz5C+VLm95IiXS0xHP9Mer3hyP7a4Y1ejaAAhP8fWYEc JdMsk7Pfl9n02gWRlUyM2pgAUo++0Ap4krTGoUeXJLso078o4W2aTnbP5SB/6XsnmbdeJFmV 8KG9tu+5z0ln5OUTXtQGH706+VeCqHc8c7fHO83an7P0USL6ymCddo7VV9ledsJ8XnFMmY3X C/E6pLUi9eo7gsTbtxrMPbqksJVkkvc09jSrZyXa+JyYUfJnK4IWYtupE3RSqSmJKT4xVjke pB2Bs/YPkd96nl4KymZ+kn0I+UvBKPanvKw26pKo068vXpwLlwOtGV26BAfkfr59MUk3NGii ypOfTfokHjl84syeIz9vv6T4SePSpKmN20lXzBQ84o2ELDpIqsOp0/e2fIzqqo3V0OnV19BD J2p7dfXa79/b19YKGFeKKKPnen7eaiWxL+gl7RCtNIf2EjckEkuToHd8CPmTe9SlvlWTxmHv WylaZkPbVRsruH1Jn2s1QkYMNo7Q1SvTtZcnbze1tuzKsfbH4e5bvGjtwFrfqDKX8JGr0J9v e+h+MN8JsDN00YQNe/YmA5CFkSFssgCr7FnThW0ta1QzCpsctTOFHn1RBRygi0/8BvvjFoZv Q3IbfRtbOlMJ2LLFKMVcL1TdWYDP+HSMVQ6exU/4ygve3sx99b0hP2YpzfCrxla7hG3EYVle 4z5A190y75Ynx04fg+7stM1MElrNWxZPsqLbnhhC/qic3mZqSVBlf/p23SN03S3zbnltIOb6 +dCa9ayj2tReemoQ+Y1NJggdC7JL7uDl30MgbW/duolecxlhnXQVxOnM7T4NJP8IRyETCHAE 5Oslpd/0gvxg0z9HoO0qCDL/Pw8zzBcQqFwFAfnBngcjUL8KAvI/OPSzuyZdBQH5Z2fIU/2v XS/xPoP8Tw3+zH6JV1mw1TkzPR7se+PVmcJverHV+WBqwLU6AiA/GDItAiD/tKGH4yA/ODAt At/B6yd9pf777wAAAABJRU5ErkJggg==</item> <item item-id="16">iVBORw0KGgoAAAANSUhEUgAAALwAAAA9CAYAAAAXpQPWAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BwpJREFUeF7tnTGy3CgQhmerNnb2TqHUsWsin8AKXuR0q170MgcOdIC9x1a9cPO9hS+wN9gb sAKB1CAaGhASM7QdeDwaAUIfvxqG/ue3SUzixn+4B3rpAQk8/+24Bz6GWfAGMZ5OwSiG200M H+f2/e3c6ri2lnpgHG/iNp6POuwD2YaX6e204cbAn9bVLaE+ibfp5XR1xXpAtuUs6Bn4HoH/ dRcvAWWXAO6VfwlB5lDfGwJJpcbCE1WeOu9F3H/5sR9H/NiRUsHAdwf8m7gPeMy+wukMiLdp QGGd5ADC4vH52KBDFv9A0jjLMoa7qB3cMPC9AQ8ADIUYtsJv6u4LPcbpLu4BhV/rmSfIodDl DJVn4DsDPqjUui9QJdZKbkE7QyxDmVBIswA/P1mmyAQ5MiCOCG0Y+K6AD4czBqhg6DEvYA7r MuYGcRj48BNiA3n+XOWwhoHvCvgZKMIyZBh4qeZ6DvAxhzJ6EhpX+GVlKLzmTxuQJUrPwPcE PCF+V8GHd5Vm1f910qvW8deVm+V1eHkRPh2uWa1h4HsCnhgjB4FHyqAo/CS/1Y08YShzDFb4 nqAtuVY9wQwCo7YaaOU2cPrec9phAQ+WKbc1eNq3urW/EGOFLwHo0c6lAH/xNTHwF9+Aksdn c+cy8IIVvqcBxcAz8M2pcM0B+P5JfHpv+4pf779XbSMrfE3AWiubFZ4Vvm29O7h1DDwDfzBS rWm63R4GnoFn4NvqAV6WbFszH6t1rPCs8G3pW+XWMPAMfGXE2noCMPAMPAPfVg9wDN+WRj52 a1jhjcLLjff7vc3b/uZM0xy1a86Xje5kzSB137KzX/DryS8TzQBF+y6/rkqZP0TgU1wLKI4E cMdkzHjpCIX//s938e2vb0L+C1/LO2h907ozxSEmDCBb+bWtgwu8hB2+t7+5KrEgG3bZmhpl YsBXqkuJxcGOYATgk1wLKI4E0I2AcE2lwL/+/aq2N7t3S76njsEDh7tAeRR+nygwzsm9mznD 0uGlHiU1ysSBP779ui5CwkRSBE4A3p/xRMhJRRJDXJOlGGOlwEuwv/z8sgNevqf2+aPAg3zF xXdEQ7i+BsY8VhaLG04AeGPeI6i/CTQBShwMOWXqc+Ipaw5uOXWppGgTTrrXJvsy8XpDs4xs 4PV1+lwLIo4Ebnh0BvBf//y66wX5nhf4LUfRdLS5IfL/HvcplQ2z3RTLr9A5Fs+V9GXFLAPI xH5LHiX1Ua8H3y6tLFQmhMwNv0J6mltX+Nrw1LnAPAVLoysFXmHk5qVG1N8xa60N/Oc/PqMh jTqWr/Bw1MPB4Sg6GAwhD0E0bnfDInQivIcxq0yg7mbwxyZaCgNs3hFqP+HaDvVdPAR44FoA dDTkSGAne4efWMGQJuRwptvy/u87Crw6RorhvSGNB3i3Qc4NRW+e8yRYStZxuHuMCnxumYSJ 1W5o5dZFuDYc+KsUHrPSiDsS0JK4y0xef/z3Q8jwRa7OmPtkVmrksWOBl+5SconRrLB4gN9l rWOjdlUj/ciECcWxFZyiMpdrWO0mYqpYVFf82khuANRvB2LXosvJcS2IwuyENugib6GrsVyJ kWWbf+FrsErjqAU2CZ1NOId1zVzG0eA8C3I9CZsnXNJkc425d5PWgErBlRorzHDjdwca2CbH M8Va/QmVCY9ZfVG5rt3c5IJJa4JrAepIAEXAlBcTKTDYKCEkNmCgT475jOWdk7SsRVWSwOcO VSxQjzT0rO08a/rqtLouWpY8mwlYX+myZKztF6T4pax8xJqvVo2tVRzKGfmfObGunLlETJCI IU1+/5Sf+YTAG0ipS4vlnfh4JRAmgDG4fccZeN4t+XiDoaDFDDwDX4BPjsZeew4Dz8Az8G31 wJPG8G11cjetYYVnhe8GdhlMMfAMPAPfVg9wSHPtNO+5amdvSVb4tvStcms4pGHgKyPW1hOC gWfgGfi2eoBj+LY08rFbk6jwmCMBxYUAfib8y372gGPgHxuxtlqPJFp7NX7evDbo5Hprfzzc 4o1ucAMbBKkJO+v24GH97dcaz54LdkvWuAwuk9QDAGLS581wBQOF5EJgDYS03bHjeGDSukdu GPi2NLhya2i/xO0EGbONyri2i+ZCABLaU54qaqt33V20DHxlxJKUtHpbUoHyOBKQXQjc7DBK T1RyXAP9ysBXh4xyo8/7TM4vXbuOBBQXgqUeJ8c51tdJT4O8PmPgYzfh2Y5nxfFIQgqWgmjl LtOzxGrH73KIMPDPBnT0elLDmmXT2c5tIuRCsJu0bmZTuC7nzC/SVZ6BjwKS3qnNn0FIDkcd CTAXAseuJHUd/gx1Z4XvEfZ1vbvM8OjQQX1C7G7aywrfMfS1LFOSBgPhaZNUXuR+MvAdAy9B SjOnPRK9nGXL8voZ+M6BL0fosUr4H0FSPWc4yMUTAAAAAElFTkSuQmCC</item> <item item-id="17">iVBORw0KGgoAAAANSUhEUgAAAoAAAAARCAYAAABNaB3sAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AR1JREFUeF7t3cERg0AMBEERD0kSJPnI2GTh6asiALX2sRwPjn3OOAQIECBAgAABAh2BbwF0 CBAgQIAAAQIEOgLTGdWkBAgQIECAAAECv6+/GAgQIECAAAECBFoCCmBr36YlQIAAAQIECLgB lAECBAgQIECAQE3ADWBt4+YlQIAAAQIE8gIKYD4CAAgQIECAAIGagAJY27h5CRAgQIAAgbyA ApiPAAACBAgQIECgJqAA1jZuXgIECBAgQCAvoADmIwCAAAECBAgQqAkogLWNm5cAAQIECBDI CyiA+QgAIECAAAECBGoCCmBt4+YlQIAAAQIE8gJvAbyvPWd2PAxkQAZkQAZkQAZk4I8zcO51 r1/B5V8BABAgQIAAAQI5gQ8i6fxQHvNUYQAAAABJRU5ErkJggg==</item> <item item-id="18">iVBORw0KGgoAAAANSUhEUgAAACEAAAARCAYAAABTnsXCAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AQFJREFUSEvtVcENwzAITOdhHu/DPMzjfaixIT6oVKmPNH3UUqQEm/NxnJ2HjnHcPYzE3eO4 m8DsxJ+EK/BXIqyQlZBmxzU9xKxtxki5W5qU7xHqrOR5tBbN0Zk2FrHGTI0DCQOPjRygSaCN Tfbc2jS+uzIhQXxvg7JDiDgJ2yfHgQSCfUACVAgVg7u0pSqqM7Us8dyOBLjZ5spDfq945sDa lzMf7atrdjy3A/qWsVZCVDhKAY+YglDtmFvrRBn8IW23qcZLO7IpTcoq7ZR8eGAZ0atDBTdT N7BjvoknEiLb2W5vpTP5urv1JGHHphrIYl/ggP+O1Vu8Jyqpq7T4iWv7CYsAMiEY6hYdAAAA AElFTkSuQmCC</item> <item item-id="19">iVBORw0KGgoAAAANSUhEUgAAAFQAAAARCAYAAABD/oseAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA Af9JREFUWEftls2RgzAMhdl6qMc9pIgcXED6YIYjd7qggXSQDrSWguFZ/gkm7F7AMxlibMvy 5yeJH3KtudpxBBjo1Y4j0Bxn6rIk0X5hOJYAAJ3Itg3n0/jXWpqO3bdgDf1oyeLGk6VW/FPv qSez+G1cT7eCzR3nGseRuq4jfuJ/pVDnlALXG+f8v8IkmqxZIIb7M7QZpIBdweGaFJ+8zXqa wzCI4HTjdzK2DvRkQQ6TbRNKqHfgqxUIrjfUGK+9t+Le3VWdbSDnzM7qMmr9Y3D3+z1axu8k upMG59Ba/F8mYWjpsANL2fWV7rOdOULkgsEhVm8AcN7zI1SwWemNTGdoj8cjWsrvMkDnfBPR RFU4XXA6gLBLO1fIy/FtxSacKj0gBoqwIqCymi88lUPBNNjcA/R2u2VDXsa00WzeFAWAKnV/ j3fFNWFO3waUL7oENK4TgQsbIuv5fGaBylhgkPNUooJKbtVjm4DuV2gEJptD8QS8Xx5oGfY2 RbxeLwl5ru6++UrPYyvQ3O24gwTJ34cqH/CPvgBYjWv9sWSk2Kgqn9q7EM5pm9sg4iyu5Nz8 E/9DlS8oKQpz/51aCK0NoZM7yjs340+nGfUdKpEzz8e8DD4UbVYyRd/80sDfSnvX9A8ElpBv bJhOv+2flbxQZHgI8Nv+WWEKSw/0yOeZgf4CXm7l10tMZBIAAAAASUVORK5CYII=</item> <item item-id="20">iVBORw0KGgoAAAANSUhEUgAAAFoAAAARCAYAAABdN7utAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AhZJREFUWEftlt2twyAMhXPnyTzs0CH6wADdoxKPfe8WWaAbdAMXG0zMj9OoJNWVGqQqjUli +Dg+8Ae+DUfbnwCCPtr+BIb9UxwZyDUODN8hIEBPYMcB/br+jRam74xnIYsc3whWDGiyYxzz ungriTMDGNc3yfv9DtfrFfAq/xeKdmAKoJh8+BeQASZrEtxsXJMFE6kTcKalxVss/bOjF1gP 6NvtRotdNoxR39zhwAqZBJXkCulb7w3fJjAGKgE6A6OUOqfU4rHfWQu2U9EI9Hw+V5PEGLlE c/rqCnvVJ2spFiG+gx9tThYTbaAcGi9+p6o0by22VftanCkbUnKvdeC8L5dLhRNjCujohVUd hTiHqXyTqrCPweNivKuEhf1gTf1WCp0FkC+yFmce8yL0gj6dTqp1UF+5BKovkxoFQHkv1Myb 6Rpen5lJvZckbGR3taUEG2xZjbeMuKkugl5RiY/HQwVNfdlkvVJqX47eXfZVoBsTUUl+rmhn lvKgglv97Xioyvyn2t4bVTyfT7IOPG1w45MH9s2gtVXzgIM6YxnO3iFOJAFcGmR65zPNam+h MlOliFNFeh7F0ColLS4S9VoHniyw8VX+F6eOBYVVdsEKKJQj7UPzjRUlqEGu1RdsbD5D+3GJ vFpc25B7QcvK4Dlk1bKt5o6vaQSSdQw2t+ut7399CYguQpVg97g/QEfQDHzP6y/DfgE2bzKq hcUyhQAAAABJRU5ErkJggg==</item> <item item-id="21">iVBORw0KGgoAAAANSUhEUgAAAFUAAAARCAYAAACsPOAgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AflJREFUWEftltutwyAMhjnzZB52yBB9YIDuUYnHvneLLNANuoEPdoAaiAlN6NGJFKQoF3Nx Pvs3/IBr6mx9CSDUs/UloPpOd85Gyj8x9CfAoE5gBoX1tbwGA1P/tTfOaEFHHzXYbBarFej8 Y+gzGRho7ABm5w89Hg+43W6Ad/6cZapzNoOHDqp/BRRgMloG4qEtQ8VgeJjUrwxIa5Tv9zsl Xt7wG9neBguGhW8yQ5eItjra1u+dpcNCqlljwEiZajWoSHtWpZjRK84gvMvlUvTCb6T0xfFi xLn0cgnVbGyVaja1oXXpSjJOwDpoCEmSPyUJo4j9lgLT4gGCu16vRVf8JkD1tbUIYxpdKg1R QjWb5GalhjelEAYxSNjNZeZCWoPKIe6BOo6jKH+y5b8s1lHKDpad/L1mawn9xj5We6jWyd5v PLuhNijp+XyKUMmW/A/WnWJn9LU2t3GQNZsIbG+m4vgZ6qya9Cqk3bGmvl4vkj/u+qGFEwDa 3lClCPla5VyfjzJBmuhkPBnUbBvTcG2YW39xsxKPVNnuv+NUgzs8tnDnz2z3r2RNIfmQEdmR JJ4Bea1dINMgL5EnKcKvL9TdRP75Wp3OqVwVwddEKWsJcdo/JxDlr0xaXr/9/rmrxxlBJBEg h/jt9+Pg2eZphBrg/sV9m6vHGfULixoIx170VNIAAAAASUVORK5CYII=</item> <item item-id="22">iVBORw0KGgoAAAANSUhEUgAAADwAAAARCAYAAACBzs+aAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AZ9JREFUWEfllrFtwzAQRZUhPAVb14GrTBAWrtIacJUuhQsO4D0MqHTvLbiAN/AGF/0zKZ0o kmKgKBAiA4Ik0tLp3f935AuRoWpNPwCv6ajWBMtuXjHwkYyqUM/DQ+3IOutbs6FK6xnLQJNu v0FR7UvO7kjx+IaMzZfh7fZBl8s74SyvA4WbQAIMk7VuAoSwCDojsDUqAoQkOFAGF4kIetD1 umfBQudijOe6CU3GHNs/spKRbM6rcKeuEt9CtRJJfjpR13GVAXY6vQ6AMcbujdaws0/spaPA mWeL+4V7h4cOY8J5vYQIlQF1Pr8NgDGWAHa1nLDtKHAbPNMTikoCaj+ti5gSMAd8OGyTlua5 MOth3Ybz5cDT1/dajwBH3HS/fyaBea4HhFoZ1G2ktosUmqownnfN6Qc1/Hh8saXRnT2b79SY 64BTtdcEk7X8Zwo3cTsbB106WE2kaOjEuPdneS26dEYNqTg7wK3TKZWnNK3c+wvXYbmP8Ino 7S2KO+c/2XO3lq5Mf7Geer/URDIw4CTg1PulwrZbSw/7W+clA38DKQvFPnvUeb4AAAAASUVO RK5CYII=</item> <item item-id="23">iVBORw0KGgoAAAANSUhEUgAAAEIAAAARCAYAAABpTnqxAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AdZJREFUWEftVjtuwzAMVQ+RU2jtXGTqCaqhU9cAmbp1yKAD5B4BPGbPLXSB3CA3YEVakqmv 69oBPDiAEZuSxcdHPtIvABrE9hMCidguWwwbCX0hbEQ4RTAijqClwH6RX3IPBvj6DrR5hqQa PsweJGFLfNfsBcnfbl9wuXwA/vP7pCIUKAp4CLBT1rGzGS1D8Ny+pLTqPiw2TwAFLqEjnDV7 nqTr9ZMSnOJFG60NCwq0PoaNRu9y9j1JEZhnVIY9k/voJAilHLa+alRn99TshWrAgE+nt4wI tJEKihl15UbOSlMF15PqCfvG3v3rlGI+KCmBCA1YkdImrWYvYcZgz+f3LB60VYhwOmWOs4Nt JhBIWxaNntM62xPFfGDA3B8nomQv4TocXqvSoLX0pXH9571kyT7RnxX7mExEoSrv9+8qEbQW BYGaS7uyBcV7R6d8oxrrDf+viMzHAj3i8fghaeC08DH7yYFrAxE1bVsQvldgZkLfsPvVqDzG yMrXyz6S6RD6U81enhpIAE4IT4S/Z1OjkT1XISSZ6Buj8i0xo1k2fcz8juDYPRFRPMvre3oV rAFDkIbQ8cfG3Oc1BDcFAxGBQfPA5z5PAbCWvYEIT8gS/2sJbgqOXwfU1r+kPKa9AAAAAElF TkSuQmCC</item> <item item-id="24">iVBORw0KGgoAAAANSUhEUgAAACAAAAARCAYAAAC8XK78AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA ARFJREFUSEvNVNkNwyAMpfN4HvZhHuZhH9cHxoaoTT4SEaRKJTj2u8gHaaWdiwHsXGnncFH/ dQBqTpwJ+eXasOSCTVBWzPLsXsiTAjIcbCCNXPb3jtZuDqBmYg1YlG5fUYEnxgcArcDE/jCu FYQO0G3KZAy7w+BJPfNHatVGMEbjfbXS6ocCR7lDIUBvaAqRMjDnoRazjs+sjnvw/9ArRdBE 2pgqq344HHDWGBTQTBJrywudFQtnYO9hpvr1/b5fMrCmnJF3UGsDuhumgrO3QQsRBnwKoDec VfgHwL2fr6YCG96TUnJ+DkB1j98BD5Y2lX24ptSVnv9i60HTOvu+cH3YP3O5rnd936f4OvZ7 Krcr8AUCdPmjEv4hfwAAAABJRU5ErkJggg==</item> <item item-id="25">iVBORw0KGgoAAAANSUhEUgAAAL8AAAAlCAYAAAATFzgjAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BDhJREFUeF7tW1li6yAMTM/j8/g+Po/Pk/tQNmMhFlFs0tZMft5rsLWMBkks+VL688IHCMyI gCE/PkBgRgReMzoNn4GA7XgAAxCYFQGQf9bIP9zv97ao17pXvQT5H06CGd2zxH+9QP4Zgw+f lULmBwumRQDknzb0cBzkBwemRQDknzb0cBzkBwemRQDknzb0kzu+r26rU9juDPv8++of1i8c ZwPhu2VTb7WrlYzJ8JrnV/2W+bzVtpzyg2HGOCv77s8n9Y3QJcmk44vaGgAMe988hu9NLZYo FTn2mTY9aSQ1D4bE+Dpn4kMuM2MiQ3e1tSCb2GGIT8FKAbATaxgon9Q3Qldd5ntbA+GbcDTk PbC2RD6SEolT9D0NqEt61ckh8bAoW3px7Dg74XUZ5cz8B0g/M8IEJD5ZjieRy0K9maTFlk/q G6HrBzIbiGXwXkgSM/Gxf5tkFwIVxz5C+VLm95IiXS0xHP9Mer3hyP7a4Y1ejaAAhP8fWYEc JdMsk7Pfl9n02gWRlUyM2pgAUo++0Ap4krTGoUeXJLso078o4W2aTnbP5SB/6XsnmbdeJFmV 8KG9tu+5z0ln5OUTXtQGH706+VeCqHc8c7fHO83an7P0USL6ymCddo7VV9ledsJ8XnFMmY3X C/E6pLUi9eo7gsTbtxrMPbqksJVkkvc09jSrZyXa+JyYUfJnK4IWYtupE3RSqSmJKT4xVjke pB2Bs/YPkd96nl4KymZ+kn0I+UvBKPanvKw26pKo068vXpwLlwOtGV26BAfkfr59MUk3NGii ypOfTfokHjl84syeIz9vv6T4SePSpKmN20lXzBQ84o2ELDpIqsOp0/e2fIzqqo3V0OnV19BD J2p7dfXa79/b19YKGFeKKKPnen7eaiWxL+gl7RCtNIf2EjckEkuToHd8CPmTe9SlvlWTxmHv WylaZkPbVRsruH1Jn2s1QkYMNo7Q1SvTtZcnbze1tuzKsfbH4e5bvGjtwFrfqDKX8JGr0J9v e+h+MN8JsDN00YQNe/YmA5CFkSFssgCr7FnThW0ta1QzCpsctTOFHn1RBRygi0/8BvvjFoZv Q3IbfRtbOlMJ2LLFKMVcL1TdWYDP+HSMVQ6exU/4ygve3sx99b0hP2YpzfCrxla7hG3EYVle 4z5A190y75Ynx04fg+7stM1MElrNWxZPsqLbnhhC/qic3mZqSVBlf/p23SN03S3zbnltIOb6 +dCa9ayj2tReemoQ+Y1NJggdC7JL7uDl30MgbW/duolecxlhnXQVxOnM7T4NJP8IRyETCHAE 5Oslpd/0gvxg0z9HoO0qCDL/Pw8zzBcQqFwFAfnBngcjUL8KAvI/OPSzuyZdBQH5Z2fIU/2v XS/xPoP8Tw3+zH6JV1mw1TkzPR7se+PVmcJverHV+WBqwLU6AiA/GDItAiD/tKGH4yA/ODAt At/B6yd9pf777wAAAABJRU5ErkJggg==</item> <item item-id="26">iVBORw0KGgoAAAANSUhEUgAAALwAAAA9CAYAAAAXpQPWAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BvNJREFUeF7tnT2S3DYQhcdVjpXtKZgqVk2kE4jBRkpdtdFmChzwAL6HqzZ07lvoAr6Bb0AD 4F8DRANNgMBgzCcFu0UOgWbzw0MDw+79ZRiH8YZ/8MBVPKCBx/8Le+CjU4LXjX11Cvqxu93G 7qOu7291u0NvLXmg72/jra+POvWBtuFleKs23AB8NVe3hPowvg0v1dWV84C2pRb0AP6KwP+8 jy9eZX8b751SfRVq3G4v4/0nQVRf4zuugiEdmkzX+EKjQJvE933v9FfouQD4Qo5tS8+pNRpA f8z+NnQr5Cbc6e7jFGxoqGcgDfjb9fQa3z3zbTqf1u2u/ZXzHoC/GvAKrE4SM1Ow9cJ2nREm xZ4Wm5u6i0ISZ7C4WNdQeQB/MeBjirxCSBRXx9h0cbtbaM7hThT6mIqrgRVtI/N5AfhMB5ab fEu0zIczu94IfO6i0r+zotU+sr0ZBVq1UTisAfCXAl4BJdqGtMGTAa8CnD4EvATmAwMy8bkB +ETHldDf4m0K4/cduGwML1sMm2g/OBi2dkrH8QD+SsBHQwpnf34dIM4ujS/sCLRt7flHBp14 jZH43AB8ouOKq3EJuxSUoa/yzVbkuqfu7MX79uHNawnzNTRUmj+r+wq26bnH0l+IAfgSYLXa ZgT4FgYxgG8Vnme0C8CPUPhnBDfVZgAP4FuYxqvZ8P5p/PRerbekYfl6/7WojVD4pMfSNjSs dVB4KPyTops2TAE8gAfwbXkAuzRpWoarfB6AwkPh29K3wtYAeABfGLG2ZhoAD+ABfFseQAzf lkY+tzVQeCh8W/pW2BoAvwBPM8vtN+amlKvEojnmrTlfNjrNjuH73pKIj4JQok3OhhJ9SZIl jvpEfT4KPF9hwKT5eaoWcMd91uk3J2OFl84Iab7//X389ue3Uf+kv2ubrG9afbmKooRf70S/ JPi6wJN3q811+4drZ8wnPNgibXJ2lLBf9RVJeE7xSgx4tsIAeYfdym/ljvt4IK8Mh2zPBf71 r1czMN0+9DFzjp44vQqUR+H3o7wf7ySLflKM3BolJdrkgT/f/rkvK9MoCXH7wUcVnvTBDTgu 0SOSXNIP9/FeQeE12F9+/7IDXh8zMxQL/IcycCnEQ8FdfycFeKw8SXeKJ/DGstZZFaDFfg4O hpQ212SHg2XgUvqyChm596Z9efB+Q8vqo8DvMpuUPYOvNB93fBu4SzJI6ZBGQ/31j687L+hj XuC3jJfF0TQ08VSZMlkv20Ox6hU659xyD7ZmzQNll2RM66AsGTTS4p8pbVLI3PArOBlPVbsO 2R+/Nz7uDawduETtI8DvFJurQROrTbMNhhox/OffPrMhjTmXrvDzlVbY4gDihDShGoJs3O6G RexCeA9jUptE3ZfBH1MlsxLR6XG+XM+Q/YJ7O7Xuohh4ftE8hZx7weGODyRSyAZesA54/+ed Bd6cE8Xw3pDGA7xrkBR4ZyaYWp7jcPecFPjUNlMWi6l9Ce6NB76cwkfLbXjrz/jr0uxzWsNh Yu6i9ce/P0xIo3dnFraXnRp97lzgVSVCM60vSucBfjflc6N2VaN5ylymaQ1JrFhPVpvTPawV sGKqmNVX/N4kqihezsbuRSESrTDALaQFC2zJveQCr3ditD+Wn/R3skvjqAW3CFVFOLu1uqye 1sh1FuTzXr5acE0VZ+cpcLdoDagU3amxwgx3OnWgoTZZGfhcFr6n6i3tz/JF4b52yll30cpV GNj22u01Cnd82lLd77nXAJ5WXViEwKrEIFaHk75Ul9x0ik1626tWWf1qfQlU85CvBAp/qL2T mKB95ip8zP4HpPgd2fmIma/P2zsdkivSP1Oxr5S1RAxAAP+od2nK1xBMh7qFKwWFSWNwIwHE 66EHKHwLQF3UBij8oxT+osClqPKZ1wB4AH+poQfgATyAb8sD/8NdmrYcfClroPBQeADflgeg 8Gcu2q7eFmpLQuHb0rfC1iCkAfCFEWtrTgHwAB7At+UBxPBtaeRzW5Ot8J6MN+KRM14MBPDP jVhb1kcSrWNaH/wLe4JspFj75lXAodtyqQt4D+/SFHCq5ME+5DMKyvyyK/6MJWlVgth94++0 XgnI4vcq/UvcASxnJV8zwrTNc6iUH9KUf4sWCl8cspim1Tx/FlBO5bi5dEc+8IUqrpFnDOAv Bfx5MfKa6H2wKkFweGeuMSTSAeAvBrzON02P4xektpniaFWCEJSl43fdN4C/GvAmJVJayIrB k1HivJDmhPWF4FkCeIGTJFPlU30mJTnc1NCZq1Ewlc1ygK+h7lD4K8I+33PpL3gOCUCF2H2x Bwp/YehzFPkQ0CEfp8w2Gc8MwGc477SH/kAbpkVnZkyfZL9b1KqONwF80sOq83DQy/ke+A++ y2ihDlWv1gAAAABJRU5ErkJggg==</item> <item item-id="27">iVBORw0KGgoAAAANSUhEUgAAAoAAAAARCAYAAABNaB3sAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AR1JREFUeF7t3cERg0AMBEERD0kSJPnI2GTh6asiALX2sRwPjn3OOAQIECBAgAABAh2BbwF0 CBAgQIAAAQIEOgLTGdWkBAgQIECAAAECv6+/GAgQIECAAAECBFoCCmBr36YlQIAAAQIECLgB lAECBAgQIECAQE3ADWBt4+YlQIAAAQIE8gIKYD4CAAgQIECAAIGagAJY27h5CRAgQIAAgbyA ApiPAAACBAgQIECgJqAA1jZuXgIECBAgQCAvoADmIwCAAAECBAgQqAkogLWNm5cAAQIECBDI CyiA+QgAIECAAAECBGoCCmBt4+YlQIAAAQIE8gJvAbyvPWd2PAxkQAZkQAZkQAZk4I8zcO51 r1/B5V8BABAgQIAAAQI5gQ8i6fxQHvNUYQAAAABJRU5ErkJggg==</item> <item item-id="28">iVBORw0KGgoAAAANSUhEUgAAACEAAAARCAYAAABTnsXCAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AQFJREFUSEvtVcENwzAITOdhHu/DPMzjfaixIT6oVKmPNH3UUqQEm/NxnJ2HjnHcPYzE3eO4 m8DsxJ+EK/BXIqyQlZBmxzU9xKxtxki5W5qU7xHqrOR5tBbN0Zk2FrHGTI0DCQOPjRygSaCN Tfbc2jS+uzIhQXxvg7JDiDgJ2yfHgQSCfUACVAgVg7u0pSqqM7Us8dyOBLjZ5spDfq945sDa lzMf7atrdjy3A/qWsVZCVDhKAY+YglDtmFvrRBn8IW23qcZLO7IpTcoq7ZR8eGAZ0atDBTdT N7BjvoknEiLb2W5vpTP5urv1JGHHphrIYl/ggP+O1Vu8Jyqpq7T4iWv7CYsAMiEY6hYdAAAA AElFTkSuQmCC</item> <item item-id="29">iVBORw0KGgoAAAANSUhEUgAAAFQAAAARCAYAAABD/oseAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AgZJREFUWEftltGRhCAMhr16rIcetggfKMA+dsbHfbcLG7ADO8iRCBiCYXH17mVlZkdXIPx+ JD/+gGvN3a4jgEDvdh2B5rpQdySq9hvDtQQY0Als26Cf5r/WwnTtuoVoXEcLNll4ABP1GRh8 lMm2UXObTggj2LvJmMdfbBxHeD6fgFd+LzLUiRXgBuPg/itMgMmaCFGuz/s2DAjZQ5ostOGe cSrFPIrz9XrR5smGz6iPC7Nsd9ddP7+bRwUn4wlQyMQtO5MszMa80ZyMP64OwXVdl03EZ1Td uyFp0QZMqKk4iJdcQbg6/+ALYBxZIT72BtVbBIodDOyXfJKuecwDshBa3/fZDHymAGUC03Qh HwqQqRxj9miKCr6c71YeRAWEG7t5qCO5euupmHVUH4+HWvLUJ8Oovin9SfGrOlk1o3JP57MG ww8l9F2/eUXPL8d0Bq5U5rbyPM8qUOpLXs1lRO6bA5C3yr4qoJ9nKAeW48e4HmhiC+t6WqKW Y9ZsMsCyLFTyeLqHFk567NuAarvjQK4CRVkh4D/6AsADMUJxuoz8FOJWsHNw7QF9G7OOJ53k 2MKV37NTvpBJ/KT30NdvVe5hQk1F6Wj6V2/mP3/4UYX454LY7nco06DGrITIh3Ft4Xmi94OY 95QCgVjyjU3t9Oz/b6VOFBEeB3j2/7fCJJYB6JXXbwb6C03Y4Nsct/z5AAAAAElFTkSuQmCC</item> <item item-id="30">iVBORw0KGgoAAAANSUhEUgAAAFoAAAARCAYAAABdN7utAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AhZJREFUWEftlt2twyAMhXPnyTzs0CH6wADdoxKPfe8WWaAbdAMXG0zMj9OoJNWVGqQqjUli +Dg+8Ae+DUfbnwCCPtr+BIb9UxwZyDUODN8hIEBPYMcB/br+jRam74xnIYsc3whWDGiyYxzz ungriTMDGNc3yfv9DtfrFfAq/xeKdmAKoJh8+BeQASZrEtxsXJMFE6kTcKalxVss/bOjF1gP 6NvtRotdNoxR39zhwAqZBJXkCulb7w3fJjAGKgE6A6OUOqfU4rHfWQu2U9EI9Hw+V5PEGLlE c/rqCnvVJ2spFiG+gx9tThYTbaAcGi9+p6o0by22VftanCkbUnKvdeC8L5dLhRNjCujohVUd hTiHqXyTqrCPweNivKuEhf1gTf1WCp0FkC+yFmce8yL0gj6dTqp1UF+5BKovkxoFQHkv1Myb 6Rpen5lJvZckbGR3taUEG2xZjbeMuKkugl5RiY/HQwVNfdlkvVJqX47eXfZVoBsTUUl+rmhn lvKgglv97Xioyvyn2t4bVTyfT7IOPG1w45MH9s2gtVXzgIM6YxnO3iFOJAFcGmR65zPNam+h MlOliFNFeh7F0ColLS4S9VoHniyw8VX+F6eOBYVVdsEKKJQj7UPzjRUlqEGu1RdsbD5D+3GJ vFpc25B7QcvK4Dlk1bKt5o6vaQSSdQw2t+ut7399CYguQpVg97g/QEfQDHzP6y/DfgE2bzKq hcUyhQAAAABJRU5ErkJggg==</item> <item item-id="31">iVBORw0KGgoAAAANSUhEUgAAAFUAAAARCAYAAACsPOAgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AfRJREFUWEftlt2NgzAMx7l5mIcdGKIPGYA9kHjkvVuwABuwgS82cXCSJjVVejokIlWU2Er+ /PyR/IAdzT3qEkCo96hLoKm73L0aVf6NoT4BAXUB0zbYX9Nfa2Cpv/dHKy6m9fpaI1QtBlrS 3oKcDjbR+ChVPZ9PGMcR8Cn/R5k6QRfBmzor8h8BBbAaGRoBYoDxfGc946Hx0RGd55kCGw+c I9thmMCIEO8ZUYi6bv+6XgSSgQlIUwdNxxj3ivOvrEDjo1SL8B6PR+KNc1TpL9dxZZIIo0zh 9hADL9nELtm1NV/kWhQKs5C4/CkBhFissKA12KU1PhoFVN6WwTAMiTvOZaAK4WFDCjKAWoPP mjA7QltOaqGHp9EUi7jgCR8EJiHmoL7z0ULt+z5b/mRLOk+ujwY9jEJ/9LSSTatU6beYzh5E LiCu31eFqqikdV2zUMkWfAv2naSPul4b2yTIki0L64NMxT39wSmqQ9MvNT7KwG7bRuWPpz4P vgGg7YCai5AVs1daVHYo0n9gyaZUqnFLDio+kKKT/eWNReOjEQF0wuPgp/wvTv9C1sjM9fc8 2U+dkJJNalWUV+nTTt1T470q3VPlXZ61Bvd7XWxurzMEfPk3Jmyv334/I/JqvkQSAUqI336/ GqSzej1UhvsXz7Mir+b/C5O15Oi3bbQWAAAAAElFTkSuQmCC</item> <item item-id="32">iVBORw0KGgoAAAANSUhEUgAAADwAAAARCAYAAACBzs+aAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AZ9JREFUWEfllrFtwzAQRZUhPAVb14GrTBAWrtIacJUuhQsO4D0MqHTvLbiAN/AGF/0zKZ0o kmKgKBAiA4Ik0tLp3f935AuRoWpNPwCv6ajWBMtuXjHwkYyqUM/DQ+3IOutbs6FK6xnLQJNu v0FR7UvO7kjx+IaMzZfh7fZBl8s74SyvA4WbQAIMk7VuAoSwCDojsDUqAoQkOFAGF4kIetD1 umfBQudijOe6CU3GHNs/spKRbM6rcKeuEt9CtRJJfjpR13GVAXY6vQ6AMcbujdaws0/spaPA mWeL+4V7h4cOY8J5vYQIlQF1Pr8NgDGWAHa1nLDtKHAbPNMTikoCaj+ti5gSMAd8OGyTlua5 MOth3Ybz5cDT1/dajwBH3HS/fyaBea4HhFoZ1G2ktosUmqownnfN6Qc1/Hh8saXRnT2b79SY 64BTtdcEk7X8Zwo3cTsbB106WE2kaOjEuPdneS26dEYNqTg7wK3TKZWnNK3c+wvXYbmP8Ino 7S2KO+c/2XO3lq5Mf7Geer/URDIw4CTg1PulwrZbSw/7W+clA38DKQvFPnvUeb4AAAAASUVO RK5CYII=</item> <item item-id="33">iVBORw0KGgoAAAANSUhEUgAAAEIAAAARCAYAAABpTnqxAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA Ad1JREFUWEftVrFtwzAQZIbwFGxTB64yQVikSmvAVboULjiA9zCg0r230ALewBt8+C+SepJ6 SonkQoAMGLJJSfd3/DvyBcCC2j5KoRDb1zXDJkLXCJsQ3hFMiCNYrTAvyq/eQwt8fge2fYal ZIzW7mJd2h57O7d70FTzeE232xdcLh+AV/476wgDhgj3BBvjAPxYa3Ukz8eXtJaM4WoLRIl4 IJ2Pa2iEzLteP0nIvF4co7l+woBlSncrIKhMxcigi4jDMRI8Rr7RoIzx5LpuMs1wpyLh0+mt EALHyAWDRft2k14KOJ91T3zP2LNTd6kEw1sGSTvywRq0WFEIC9ipiW0YFpI9n98LIXBMEIKB SkWzYuTVr2QOK158vsDATnArx55FITjxmhCHw6toDZrLCxn3f5kli1ghEb3E6PLDixtzSxBi oCvv929RCJpLSKDnilxIs6MxU7Ph/x1RYAzYhGz7h4x4PH7IGrhbBM5h58C5XgjJ2w4sZAW2 YswNd7/h29hU74/cN4hRhGUIxWzXkHLLYeLOgAKEK//Ndo3K6vkOIcskZ4zajiKnd81GNYy5 5whee6gh4bO8v59x0Hr+O6M1lE0PG3P/r01gEgJJc+Jz/69NhHjEDiIsdV2jEL8EjtKX8amb 7AAAAABJRU5ErkJggg==</item> <item item-id="34">iVBORw0KGgoAAAANSUhEUgAAACAAAAARCAYAAAC8XK78AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA ARFJREFUSEvNVNkNwyAMpfN4HvZhHuZhH9cHxoaoTT4SEaRKJTj2u8gHaaWdiwHsXGnncFH/ dQBqTpwJ+eXasOSCTVBWzPLsXsiTAjIcbCCNXPb3jtZuDqBmYg1YlG5fUYEnxgcArcDE/jCu FYQO0G3KZAy7w+BJPfNHatVGMEbjfbXS6ocCR7lDIUBvaAqRMjDnoRazjs+sjnvw/9ArRdBE 2pgqq344HHDWGBTQTBJrywudFQtnYO9hpvr1/b5fMrCmnJF3UGsDuhumgrO3QQsRBnwKoDec VfgHwL2fr6YCG96TUnJ+DkB1j98BD5Y2lX24ptSVnv9i60HTOvu+cH3YP3O5rnd936f4OvZ7 Krcr8AUCdPmjEv4hfwAAAABJRU5ErkJggg==</item> <item item-id="35">iVBORw0KGgoAAAANSUhEUgAAAL8AAAAlCAYAAAATFzgjAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BDhJREFUeF7tW1li6yAMTM/j8/g+Po/Pk/tQNmMhFlFs0tZMft5rsLWMBkks+VL688IHCMyI gCE/PkBgRgReMzoNn4GA7XgAAxCYFQGQf9bIP9zv97ao17pXvQT5H06CGd2zxH+9QP4Zgw+f lULmBwumRQDknzb0cBzkBwemRQDknzb0cBzkBwemRQDknzb0kzu+r26rU9juDPv8++of1i8c ZwPhu2VTb7WrlYzJ8JrnV/2W+bzVtpzyg2HGOCv77s8n9Y3QJcmk44vaGgAMe988hu9NLZYo FTn2mTY9aSQ1D4bE+Dpn4kMuM2MiQ3e1tSCb2GGIT8FKAbATaxgon9Q3Qldd5ntbA+GbcDTk PbC2RD6SEolT9D0NqEt61ckh8bAoW3px7Dg74XUZ5cz8B0g/M8IEJD5ZjieRy0K9maTFlk/q G6HrBzIbiGXwXkgSM/Gxf5tkFwIVxz5C+VLm95IiXS0xHP9Mer3hyP7a4Y1ejaAAhP8fWYEc JdMsk7Pfl9n02gWRlUyM2pgAUo++0Ap4krTGoUeXJLso078o4W2aTnbP5SB/6XsnmbdeJFmV 8KG9tu+5z0ln5OUTXtQGH706+VeCqHc8c7fHO83an7P0USL6ymCddo7VV9ledsJ8XnFMmY3X C/E6pLUi9eo7gsTbtxrMPbqksJVkkvc09jSrZyXa+JyYUfJnK4IWYtupE3RSqSmJKT4xVjke pB2Bs/YPkd96nl4KymZ+kn0I+UvBKPanvKw26pKo068vXpwLlwOtGV26BAfkfr59MUk3NGii ypOfTfokHjl84syeIz9vv6T4SePSpKmN20lXzBQ84o2ELDpIqsOp0/e2fIzqqo3V0OnV19BD J2p7dfXa79/b19YKGFeKKKPnen7eaiWxL+gl7RCtNIf2EjckEkuToHd8CPmTe9SlvlWTxmHv WylaZkPbVRsruH1Jn2s1QkYMNo7Q1SvTtZcnbze1tuzKsfbH4e5bvGjtwFrfqDKX8JGr0J9v e+h+MN8JsDN00YQNe/YmA5CFkSFssgCr7FnThW0ta1QzCpsctTOFHn1RBRygi0/8BvvjFoZv Q3IbfRtbOlMJ2LLFKMVcL1TdWYDP+HSMVQ6exU/4ygve3sx99b0hP2YpzfCrxla7hG3EYVle 4z5A190y75Ynx04fg+7stM1MElrNWxZPsqLbnhhC/qic3mZqSVBlf/p23SN03S3zbnltIOb6 +dCa9ayj2tReemoQ+Y1NJggdC7JL7uDl30MgbW/duolecxlhnXQVxOnM7T4NJP8IRyETCHAE 5Oslpd/0gvxg0z9HoO0qCDL/Pw8zzBcQqFwFAfnBngcjUL8KAvI/OPSzuyZdBQH5Z2fIU/2v XS/xPoP8Tw3+zH6JV1mw1TkzPR7se+PVmcJverHV+WBqwLU6AiA/GDItAiD/tKGH4yA/ODAt At/B6yd9pf777wAAAABJRU5ErkJggg==</item> <item item-id="36">iVBORw0KGgoAAAANSUhEUgAAALwAAAA9CAYAAAAXpQPWAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BxhJREFUeF7tnT+S3CgUxnurNnY2p1Dq2NWRT2AFEzndqokmc+CgD7D32KoJN/ctfAHfwDeQ 9fT3CXjwQIJWD58dzFQLAYIfHw9afPPXrbt1F/xDC9TSAgQ8/lfcAm9NL3hN1xanoO2ay6Vr 3sq2/aVscSjtTC3Qtpfu0pZHnbcB1eHp9lJsuAH4Yk19JtRv3cvtqbi6Si1AdSkFPYCvEfif 1+7Jqewv3bXpVb8PNS6Xp+76c6PFQwgyXltDIIJ1/ExW6jWNmeeaf9vK146UCgBfHfAEtTtm f7k1C+RDuNNcuznY4NcYpv0gmEClQWQNkj5l/3kzhSwD+FIIRfez8o6EnOcF4GsDngHohWoA eB4Y4wLTUnErTUCl+wWyL3QpofIAvjLg3UrtQN+luAPgPHSZQiBS7QDM/aqhu94CC+RgHvt1 H8BXBbwczlgoifCR2vOQaFJ/726PMENYbd+nyxzWAPiqgO+BUm1D+sFrW75opbh/UvoArOPi 1bfnHzEgE/sNwCc23P7J9Q45KON3DrRdSwblJuwZofd/kWTODnbuueN4AF8T8IoYebM/7xog PA/HwtYLPH2rG5hh1GuMxH4D8IkNdwd93l/THjgfkMNW5LLXzvbih9cPpmsGsM59+GlxS2Xx 6yHYqU1zfyEG4Pdj9Dg5BIA/wyAG8I+D0/lrCuA7KPz5MT2uhgAewJ9hGi9Wh9cP3YfXYqUl DdTn699Z6wiFT+qWc0Mj1g4KD4V/UHTThimAB/AA/lwtgF2aNC3DXa4WgMJD4c+lb5lrA+AB fGbEzjXTAHgAD+DP1QKI4c+lkY9dGyg8FP5c+pa5NgB+Bp6fVt++MTeeQUw0zZEO9g75zQcB 5LL5IeI4FHLkKdUgR1mZTv4EgZddCyTnAY0jwcyP6XjgatEjQpqvP752X/770tFP/juVt/mm 1TLFUR4YcKMwH+ty2T3wz+zONU/Mx8FOqXPkKdUiU1mbd83jW8B5RwB40bVAch5QOhLEvOO+ F/jn/5+HV5nN56fPhmv8wuEuUA6FpzK272S3/eHe1XlqVIy9HiU58pSBP77+U1mKAxNRQyGo 8Cw3acBJh0i8Z2D9vjX8GfYCT2B/+v7JAp4+G2YYEfi362rEw8Fdfl8P5m5f7DeneAZvyHuE HRzYdiQrK3YwpOQ53eMzF3KCllLWFC66zY+oLfcOflbTWOCtM6qS84DCkcByPHAP1SOA//zv Zwt4+swJ/HriZW5oHppw8KYYfDgNs3bKxq/QuOY14iEbB3K9so6Abc9KjqdytOafKXlyyOh5 tcCllrXOeK5ns2fEGRTP2kE6RhcDvKXYkvOA1pFgCjUDfbcX+I//fBRDmuFausJPd27CFgMQ I6TxeQiKcbsZFokLYVsxkvJk6j4Pfo3DbXpZxgxoDLBDfRfVwMuLZsl5IOxIMPaP/4B44Iif OIOuff/661UEfrimiuGdIY0DeLNCWuCNmWBqmjG2N69pgU/NM2WxmFqW4tlk4PMpvB9KyXkg 7EgwmDEJNn/LvLXT5PXb728dhS+0OzPnOe/U0LVjgZ/Dkjn2cwBvhSzSqF3UyDD6IUhCZj27 8hxBWizhQqq4q6zws8khTdRydez80LOYh6hdu3TSQlqzwBYXtuuz7A1paCeGcpt/8t/ZLo2h FpsYkF3rR2ezuMtSHM2vTcabPCToF1xkzbbE3Nai1aNSfGrfhBlm/G46Xx2QJy9v0xaZy7Li 27KLVsm1QHIeEB0JuAgMs5jb8cA1ZPcCz10X5vw3TgwJOrHr6/VDFYvVpL2tTre5n6lYWRrV jOkNhcLnbrtQ/nuBD+V/hyN+MTsfoerTdY3jlSYfTZqCZaWsJULwA/h7vUsTXrxo8Hu/aTQL wISnB/D3Aj6hs0LqhevhFgDwAL6qoQfgATyAP1cLvMNF67kauKraQOGh8AD+XC0AhQ8vxZBC 2wJQeCj8ufQtc23gLQngMyOm1d4y6aDwAB7An6sFEMOX0b46SoHCQ+HPpW+ZaxMFPD/dNr7t uB6EcZx8syRDk8Z+Xih8Hdpb5ikV76MvCL61/evfK5D232b1D84YpwKeU+p9Wqm4w9uS2qoh 3eEt4DrQoRpq/ct+7fz6teYMqyaN++nwd1pVHXI4Gu+0VO1f4jba0zVQNC4EmjSbls7/Fi0U /p2i7ZaANKDkMEPzGrMmzVzbTI5rrI8BfFXAkytAs/oNqZ6dhzP2MAq5ENAdmjRDzjFrDFXd 7foC+MSGe9ggKjqO94VBmhlDk2ZszdzxO5UB4GsDXmGVsRnMvq1MjSJr0oy4d41kIHVgHwH4 AxvzYVQ/4nC4FY5ILgQ7nApKqTsUvkbYp2fO/QVP1OBXzwJRuTp7FwpfMfS5LFOisIyYbaLy FfoVwFcM/BhKxJjTHoEc24Ikg6YCcTuvNYCvHPgjEX6EvP4AwihXB+VttjgAAAAASUVORK5C YII=</item> <item item-id="37">iVBORw0KGgoAAAANSUhEUgAAAoAAAAARCAYAAABNaB3sAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AR1JREFUeF7t3cERg0AMBEERD0kSJPnI2GTh6asiALX2sRwPjn3OOAQIECBAgAABAh2BbwF0 CBAgQIAAAQIEOgLTGdWkBAgQIECAAAECv6+/GAgQIECAAAECBFoCCmBr36YlQIAAAQIECLgB lAECBAgQIECAQE3ADWBt4+YlQIAAAQIE8gIKYD4CAAgQIECAAIGagAJY27h5CRAgQIAAgbyA ApiPAAACBAgQIECgJqAA1jZuXgIECBAgQCAvoADmIwCAAAECBAgQqAkogLWNm5cAAQIECBDI CyiA+QgAIECAAAECBGoCCmBt4+YlQIAAAQIE8gJvAbyvPWd2PAxkQAZkQAZkQAZk4I8zcO51 r1/B5V8BABAgQIAAAQI5gQ8i6fxQHvNUYQAAAABJRU5ErkJggg==</item> <item item-id="38" content-encoding="gzip">H4sIAAAAAAAA/+ydBdxkVf2HZ4OlQRBQUdfuwhbMpRQVQeyWWGERWGKxAwM7sFEs7EYwsUUU DARFxZZVjBHFwhbe/3feu8x/mFvnnhvnd+59hufZz3Dn5jnnft9za2aL0Wi0RD5Ibrb4frn+ 3Xy3fQ5bvfvaA/dat/rw0eJrK7nxlYZsLjc9aO2B+60+eM3aI5YvDttZbnL4gfsccOjqA9cl o+23ONOl+nfFMYccuevapySD7z+ZnwbsNx1xbzn58MRNRqNraPzzN/3//5+8LkwWoVktXba4 yttOF75q3bqj1xxw7LrVSxbH2EVuPZp9Ld/l+lf6/x1Wrljc7KUbtn7Dvxp63rnbXHjyqTuu H8297jFaNrp8YdPRiplhG0+n1usq/z+3yxcWFqZLlhtNNn7D+JON0YaNFniZfF0mt1yW1OHl G/4/y0nr30JuuWHf2DppAqNtJg1TXlVuJ7eftDZ5NXl1eQ25o7ymvJa89qTZyevI68rryUlb vYG8obyRvLG8ibypvJm8ubyFvKW8lby1vI3cSd5W3k7eXt5B3lHeSd5Z3mWU7KGT/eOu8m7y 7ottezS6p7yXXCV3lbvJ3eUeck95b3kfuZe8r7zfKNmHJ3vtA+Q+cl/5wFGyy0/y5MHyIfKh 8mHy4fIR8pHyUfLR8jHysfJx8vFyf3mAPFAeJFfLJ8iD5SFyjTxUPlEeJidhdIRcK4+UR8mj 5TFyEizHyifJJ4+SNHmqfJp8unyGfKZ8lny2PG5x3dfqv3Wqiz0033Wa12QK99cO2tuvaEuT PNhMuTF5fSn5eM/ZcS886eJTLjj97CWLY2wIkiUq+bXaqiNVogcsbmm117ajpUsmmXPFOrhO t/foiuXvo3JdrXa0k+p1f5XAGpXfaufl76jlTzZl2YZ1cJlm8nfnouUrUsvfS0tfrbKYrMfh juuwUsuf3Z9dppnU00Yb3l+R31fIa1ivJar9ZZslbXd+3538/d5316OPPeaQUfbbS3c+7ai5 tjWbB5NXWVuctL+DHMYrmH7p/LAqy2/jFdPynyOfK58nny+Ply+QL5Qvki+WL5EvlS+TL5ev kK+UJ8hXyVfL18jXytfJ18s3yBPlG+Wb5EnyzfIt8q3ybfLt8mT5DvlO+S75bvke+V75Pvl+ +QH5Qfkh+WH5EXmK/Kg8VZ4mPyY/Lj8hPyk/JT8tT5efkZ+Vn5Ofl1+QXxwl7fzL8gz5FXmm /Kr8mjxLni2/Lr8hvym/Jc+R35bnyvPkd+R35fnye/L78gfyAvlD+SP5Y/kT+VP5M/lz+Qt5 oZx0vH8pfyUvkr+Wv5G/lb+TY/l7ebH8g/yjvET+Sf5Z/kX+Vf5NXir/Lv8h/yn/Jf8t/yP/ K/8nL5OXy8WGoZ1n8sdrqVwml8uN5Aq5sdxEbio3k5vLLeSWciu5tbyK3EZuK68qt5Pbyx3k 1eTV5TXkjvKa8lry2nKlvI68rryevL68gbyhvJG8sbyJvKm8mby5vIW8pbyVvLW8jdxJ3lbe Tt5e3kHeUd5J3lneRe4sd5F3lXeTd5f3kPeU95Kr5K5yN7m73EPuKe8t7yP3kveV95P3l3vL B8h95L7ygXI/+SD5YPkQ+VD5MPlw+Qj5SPko+Wj5GPlY+Tj5eLm/PEAeKA+Sk0O6J8iD5SFy jTxUPlEeJg+XR8i18kh5lDxaHiPXyWPlk+ST5VPkU+XT5NPlM+Qz5bPks+Vx8jnyufJ58vny ePkC+UL5Ivli+RL5Uvky+XL5CvlKeYJ8lXy1fI18rXydfL18gzxRvlG+SZ4k3yzfIt8q3ybf Lk+W75DvlO+S75bvke+V75Pvlx+QH5Qfkh+WH5GnyI/KU+Vp8mPy4/IT8pPyU/LT8nT5GflZ +Tn5efkF+UX5JflleYb8ijxTflV+TZ4lz5Zfl9+Q35TfkufIb8tz5XnyO/K78nz5Pfl9+QN5 gfyh/JH8sfyJ/Kn8mfy5/IW8UK6Xv5S/khfJX8vfyN/K38mx/L28WP5B/lFeIv8k/yz/Iv8q /yYvlX+X/5D/lP+S/5b/kf+V/5OXycul/vAv/uVcIpfKZXK53EiukBvLTeSmcjO5udxCbim3 klvLq8ht5LbyqnI7ub3cQV5NXn1pcmZjR3lNeS15bblSXkdeV15PXl/eQN5Q3kjeWN5E3lTe TN5c3kLeUt5K3lreRu4kbytvJ28v7yDvKO8k7yzvIneWu8i7yrvJu8t7yHvKe8lVcle5m9xd 7iH3lPeW95F7yfvK+8n7y73lA+Q+cl/5QLmffJB8sHyIfKh8mHy4fIR8pHyUfLR8jHysfJx8 vNxfHiAPlAfJ1fIJ8mB5iFwjD5VPlIfJw+URcq08Uh4lj5bHyHXyWPkk+WT5FPlU+TT5dPkM +Uz5LPlseZx8jnyufJ58vjxevkC+UL5Ivli+RL5Uvky+XL5CvlKeIF8lXy1fI18rXydfL98g T5RvlG+SJ8k3y7fIt8q3ybfLk+U75Dvlu+S75Xvke+X75PvlB+QH5Yfkh+VH5Cnyo/JUeZr8 mPy4/IT8pPyU/LQ8XX5GflZ+Tn5efkF+UX5JflmeIb8iz5RflV+TZ8mz5dflN+Q35bfkOfLb 8lx5nvyO/K48X35Pfl/+QF4gfyh/JH8sfyJ/Kn8mfy5/IS+U6+Uv5a/kRfLX8jfyt/J3cix/ Ly+Wf5B/lJfIP8k/y7/Iv8q/yUvl3+U/5D/lv+S/5X/kf+X/5GXycrl4sK7u/uRgfKlcJpfL jeQKubHcRG4qN5Obyy1mzhPx6sfrwuUrRrvufcaGsxGTM2eTs26Tv8qTHtOSxXN42vP1+Zlb jRa94jUeXwIA0FfIOADoM/MZ592zq9MlDDItK8wKW1goK9z6Qr0XCQBgHzIOAPoMGQcAfYaM A4A+Q8YBQJ8h4wCgz5BxANBnyDgA6DNkHAD0GTIOIA7OWfyepVKCr6c1KBGAOCDj/KBEAKDP kHEA0GfIOADoM2QcgHUcz8RxVi4TygLAOmRcHSgLAOgzZBwA9BkyDgD6DL/nEM20rPAwV9jj ZJzLWbnhlDD9OPDhOK8GVzqVRphSPOF0yOwkfmtlnJYybjhQCuBDGxlXkGsFGee9MrFDijlC GYEPmbEy16Vy6Y6VzjDvUzKOjHOEMgIfGu/H1ck47/WJGjLOEcoIfGg149LdwNKM816leCHj HKGMwIfMA9LGj1XzFpd5eYGMg0woI/Chm2PVgk+Hc101DzLOEcoIfKiaJsn47Z2PGyBknCOU EfjgETGl/Szve0cGyPo1q6YEXxnjDLqhgDelZ8fypnKfbfGEZBwZ58igGwpApJBx7pBxAPFB xrlDxgFECdccHKGMAKKEjHOEMgIwyij1mv2UjHMtxuBrAACZkHHNFGPwNYAYcXm4Km+SvPkE 36i4IOMcoYzAB7/nHObe890hdSDjHKGMwIe8PHLs32U+2kXGVYKMc2S+jEa+peY9YahpWeE6 07rkUcFCSzNuyCVc58vN3b/3fDglzN8B8MH7edXZdKMfl6algBtyp2+gmw01yTsmLRg+N+2Y jMvCPYwqxRYZB1CNOtccxvTj8iHjGmegmw01IeNagoxrnIFuNtSEjGsJMq5xBrrZUJM69wCn z81xD/AUMq5xBrrZADYh4xpnoJsNYBMyrnEGutkANiHjGmegmw1gk44zzuO86jjrYpH3mda8 0UofcM57n4aMAzBE9/04v0dW8iavdMXcJdfGZBxAnwhyrFrQL3PvZM3+r0vGFQ8k4wD6iYWM K4WMg55T8He+0jmdgpM4c2MWT+U48/SsCgaOq+/5jRDqmkOljSXjoP+UttrSDEr/b+nkps7y tISFjDNyrJquoPRfU5eaIuPAk3TDSjf90r0lb1al83efalwWZ2Rc1e3trB+X7uaP85MuDzIO PHHJOO9Zlc7ffaoxGddcxpX2uNs4Vq0JGQf+uB/COM5ntq9HxjU1pvvIjjHXSMYVj9Zixo18 Z+09YahpWeH60xa30VHWgercOHlnVQqOaguOeafLzVvPzMVNB47y16ezEu4s40ZX3vzSgi2u 94LKnR2YWTWZy02vhv+O410xAOP85u4xk9JW3lQ/LrMnMpduQTpxY7fk8vj6cp7lAvCkkSzo OOMsUxpGfr/PQMYB+OMRHH4ncUyd5WmJ4jDySDeX2fabgW421MTjJE7BHIoHlk7lPhoZN0AG utkANnHMOI5V3RnoZgPYpOo1B8fwIuMAwARV7x1xTDoyDgBM4BFGLklX6fvjMm9UzLuNsWA+ c/OseQLXGzIOwBDeHS6XE3mZH2Xe4Tj3UcGt2nnzKV1QZ5BxAIYI249z6bIVZ1y6vxb83h0y DipT0I6rHol4PxWUOYL7auetQ/3eSk08nl6oeT6u2YyrWuMdQMaBD6XPGHi0+Po3Bhcs1PHG 4IgyrqnrqplHpq2WTMcxR8aBJ8VxMx1SfLLZPZVKx686Vdt7sh/dP6/qkXEF5+lKa7ybYpyF jANPShPNbybFHw0849q4BzjdX3Ypmbykc4SMgzhwPAB0nINLFy9v4HQ3G0jGNTjbgoxrDzIO 4qA04yodqxaP5nLUU+nIqOCAKz0wM/vaIEg/zv0EgjcdLCIPMg5q4R5GpZO7TJV5gFw8QunA 9MFX5kCPIzIPun+Wq7RIm6LqeYymIOOgFt7tNfPQ0uN0W1MZZwSe5WqcgW42NEidmCtNqPoj lI4WacbNTeJ9D3Dvmd/skW9BeE8YalpWuM60xWfZ3Bead6ibPkgsOMaZGyFvuaXnBC2UcKUw cp8w/elw2vBAox3AJvTjGmegmw1gk+6f5eo9A91sAJt0/yxX7xnoZgPYpPtnuRIWUp9qSELm OMXvp9OmZ9I9ZByAIbq/BzhhLoYyI6xS3oXNtVmsrAcAjMP9LldBxmUOrPo+ICZWAiIlvWOU EnydjWOnH5euNY9cs1Dj4dcA4qXqH38opftnucZZ1VT/WLVgSMfQ/sAfxz/awVt5RIR6lssx 41zel868Y2h84I/7gQkx50ioe4Ddr6vO/ZuZdKUz7xJaHvhT6eQLMeeC941sVZ/lmqPV2iHj IFaqnmAm5kqpc9m02X5cHUxdeaDNgT9kXOP4XTD1Ph/X3rVvOxfTaXPgDxnXON7PqzY4254x 0M2GRijNOFPHLFHQ7BNafrPtGQPdbKhD3gFO3n0DRo5ZoqCl2CLjAMAEZFzjDHSzAWxCxjXO QDcbwCZkXOPMb3Zc39TOCluelhX2mDb9hFaDFKzwwgkr59ZKQxLS42jazOGZ8wlewgONdgCz dBBwaeayKTO2XHKtOOOCQMYB2GW0x4LI/KjZw8+CjMscSMYBQAMEzLhZ0uOQcTAI0qdsxqnd I/k0cz/JGwJT8jLO8QjUHY5VAeap1MrzMi4dkZCQpNsss59WPd1WimPGubwPXnTzJRl8DSBG Crpj7hk318WDWYozbuz161wFuF9Xnfs3M+lMQcaBDwWtmYxrkILzcePFmGtqQT2uBTIOfKif cZaPbmKBjHOBjAMfyLiwrF+zakqd+aQvEPWvOsg48KFmxhm/EmefpjJuCJBx4EPNaw5kXE3I OHfIOPDE+94Rl1vqoRgyzh0yDvzJuwc4c8y8T8k4P47f/iwRfDXsQ8YBRAkZ5wgZBxAlZJwj ZBxAlJBxjpBxAFFCxjlCxgFECRnnSIDvOm/ka0u7XGEj01pb4Va/lbtO8+hNCRdTM+OG04YD 9OOazTgIhdmMGwj04xyhrYAnobKGjEsg4xyhrYAnZFxYyDhHaCvgCRkXFjLOkU7bCqdd+gQZ FxYyzhEyDjwh48JCxjlCWwFPyLiwkHGO0FbAEzIuLGScI7SVQVPna8iiy7iefeEaGedIR22U Gz5rkjToxpnNuFiqxrsVTbe0pcIMQvCWaR8yLg7IuPptiYwbJuHjgxRzoaUGzbEq9J7w4ULG uWDwj3Z0GQfDJHxbocm6QMYFXy5ESvi2QpN1gYwLvlyIlPBthSbrAhkXfLkQKeHbCk3WBTIu +HIhUsK3FZqsC2Rc8OVCpARuK/zctyNkXPDlQqQE+D2HWepnXFxfLe89bc2M4/ccbFYrK9zF Qr0X2Qj04xwx2I8bh4u54BsOEUHGxYHNjAOwT/g/ifxldoGMA/AjfLiQcS6QcQB+tB4uo9Rr bgQyzgUyDsAPMi4OyDgAP8KHCxnnAhkH4Ef4cCHjXCDjAPwIHy5knAtkHIAfbYUL9382CxkH 4EcrkcFt7o1DxgH40WLGBR+5T5BxAH6QcXFAxgH4QcbFARkH4AcZFwdkHIAfZFwckHEAfpBx cUDGAfhBxsUBGQfgBxkXB2QcgB+t/J5DlxkX11fLe0/L7zm43wc+kCbBCrtO6L3IAjruxx03 GqUpmEnmaHWmTYan32cOnHvviMF+nNmMA5ilDxk3rpIamdlUEFil0xa8H0LGDWe5ECk9ybhx VgC5dO7cM654IBnX++VCpPQ24xwh47wh4yAK+pNxY7fs8D5WJeMq1UX/lguR0tuMyztWzTx6 bSTj0nObG5i3OBdazbjRaKHtWm4QMg4q0auMGzvEh0t+effj0tdqx/lJV4n2Mi4JOP1bNTjI OIiCwWVc5jjNHqu2QUsZN9uDqxpzZBxEQeCMq3q7k8vIHl25Zu8daYM2Mk6hNsu44kFrdBm3 fs2qhO7XGQISMuM8buksuD+u9DaRvJHTAx2nnRveaj01nnHTUJuSlO30jdl7cb1vG55mXFKY jdN9UYALYTLOeycZ7HFKB/04j4Aj48g4+wTIuDp7CBnXLOnDVft1YfBYlYyzTMiMa3zOPaaD 66qx1IXBNkDGWSZwP65qezXYvruB++OCL7cAMs4ywa45+CWdwfbdDQb3IjJuisHagSlW7o9z DDuD7bsbDO5FZNwUg7UDU8Jn3OwkpUmX91HxLW+zD3Jlflown0zavlMkjcG9iIybYrB2YIqV jHOc1jHjXJ4ezZyWjGuqpvq33AIM1g5MmW8rI9/WMzth1VaYTOvXjxtduYM2fV/6jSCj/BHy nudPz6dmQbnDd527n9BopA1HUTttVGv/VthEP67++TiPjCuYthT6cbPVYS3jusdm7UBC4Iyr 2nBLM67gTenAMRkHXlA7lrFy70jNOXtkXMF5ulaPVf1gL7IMtWOZ8PcANzLnuePTsVs/Li/p SiHjYBZqxzIhM67BORdkXLOkF9QN7EWWoXYsE74f53F1Ij28y8PJSj2+pmAvsgy1Yxkr5+Mq XaNIDy++B7hxyDiYhdqxTPh7RyqFncH7BrqBvcgy1I5lwmfc7CSlSUfGgUGoHctYyTjHack4 MAi1YxlDGUc/rgD2IstQO5YxkXGcjyuFvcgy1I5levIsV+9hL7IMtWMZK/eONDLnhdRH059j yRzH5X3mbLuHvcgy1I5lwt8D3OCcC7Jp+p6Mg8ahdizTk2e5ElyyiYyDxqF2LBO+H9fIs1wJ 6WyaJT0OGQeNQO1Yxsr5uJrPciVwrApBoHYsE/7ekQaf5XLMOJf3BbMNAnuRZagdy8zvvaF+ z8H7Wa5Rfv9rnH9ddWHx9xym7zOTrmC23X8tvcHfc7C50CArzO85mF6o9yILCPUsV+MdrmkI tlFKlaCnYBlqxzK2Mq7ms1xthFFmz6572IssQ+1YxkrG1TkfN3f9tPFUIuOgGGrHMiYyzv3q Ks9ygUGoHcsYyrg25twb2IssQ+1YJnzGtTdyn2Avsgy1YxkyLg6s7UV+v2hROpX7D9rO/Whk 5lSDrR2YhYyLA2t7URsZV5Brxb9JFCraplirHZiFjIsDa3tRZqzMdakq/SBk3gzzPiXjwJEW M649gpda91jbixrvx9XJOO/1aQprtQOztNUyggTcwgkr00MSMsdxeW8Ea3tRqxmX7ga6/H5u wJizVjswSxfNYrTHgsj7tMGu2Vw2ZcYWGdcImQekjR+r5i0u8/ICGQeZDCXjMgeScd50c6xa 8CnXVcGRkBnX+Cm2dMbNkh6HjPOmapok47d3Pi4s1moHZmm9oSQBN8v0ow4yLv2ejGsEj4gp 7Wd53zsSHGu1A7OEzLiEBpPOMeNc3gevmDms7UWlZ8fypnKfbfGEZBw4Ev583Li5U3Lu11Xn /s1MOlOwF1mG2rGMiT+GLR2r9gn2IstQO5YJnHHr16yaUn9uZBwEgdqxzHzGdfxN7fUzbvKz DFe+fup4vBnXd+Hzew6WV5jfczC9UO9FNkKz/bgeQ0/BMtSOZci4OGAvsgy1Y5nw1xxoH5RS 7FA7liHj4sBaKbk8QJo3Sd58gm9Ub2oHZgnfsGgfMZaS37Ncc+9NfT9SHazVDswSvlXRPmIs pbw8cuzfZT6+SsZBG4RvVbSPGEupZh6RcdAZ4VsV7SPGUvJ+Jn823cg46IDwrYr2EWMp5R2T Fgyfm3ZMxkEnhG9VtI8YS6nONYcx/TjokPCtivYRYymRcbNYqx2YJXyron3EWEpk3CzWagdm Cd+qaB8xllKde4DT5+a4BxjaI3zDon1QSrFD7ViGjIsDSsky1I5lyLg4oJQsQ+1YhoyLA0rJ MtSOZci4OKCULEPtWCbwd52P+Z5o26U0nBKuMyFt2PRCvRfZFPwNjK6UPG4cGWfdDVf6xSSZ 712WmDda6Vc85b2PqHZgDjIuDqyVkt8z+XmTp+dWGnwF6+CSa2MybjCQcXFgsJQK+mWlfajM WXncVFx1IBk3QMi4ODBYSjUf58r8KDN3Ks2QjIM5yLg4sFlKlWLO5ViVjIPGIePiwGYp5V0N cDnfXzxacaev4Ei2NOMy87R4hEhrBxLIuDgwW0ruQeDYRSrNuOKZuPTj5iIyPdDlbGAUtQNj Mi4WzJaSexhVugTRwbHqEGoHxmRcLFguJcc8qp9xzd47MpDaATIuDqyVUtX7PMZl95oUj5w5 lePqucy2Z7UDs5BxcUApWYbasQwZFweUkmWoHcuQcXFAKVmG2rEMGRcHlJJlqB3LkHFxQClZ htqxDBkXB5SSZagdy5BxcUApWYbasQwZFwc2S2nhyreb6X/nyBuzZ9isHUgI3/JoH/GWUjrj HMfsGTZrBxLmW96o829q57vwLZdS8bTFGTeq0Y8LUju04V6ucPi/rvwNjLeU6Mcl2KwdSAjf 8mgf8ZYSGZdgs3YgIXzLo33EW0pkXILN2oGE8C2P9hFvKZFxCTZrBxLCtzzaR7yl5JJxyUAy DkIRvuXRPuItJcd+3Ny9cv3DZu1AQviWR/uIrpTS9/qWdtbIOAhF+JZH+6CUYofasQwZFweU kmWoHcuQcXFAKVmG2rEMGRcHlJJlqB3LkHFxQClZhtqxDBkXB5SSZagdy5BxcWCzlBZOWDn3 v3PMjjM3cuaQSLFZO5BAxsWBzVJKZ1zBOJmBGHwTGsFm7UACGRcHNkvJO+PmunixY7N2IIGM iwObpUTGjQ3XDiSQcXFgs5T8Mq7gDF2k2KwdSCDj4sBmKZFxY8O1Awn8nkMc0xr9PYfCjEsm nEu09BGrkRKuMyFt2PRCvRfZFPwNjLeUPPpxjhkXFzZrBxLIuDiwWUpVM85l/BixWTuQQMbF galSSt/rW3CdlHuAISxkXBxQSpahdixDxsUBpWQZascyZFwcUEqWoXYsQ8bFAaVkGWrHMmRc HFBKlqF2LEPGxQGlZBlqxzJkXBxYKKVzRiOzUDuQBxkXBxZKKXiQkXHgARkXBxZKyUKa2Fwr C7UDeYRvsrSPWErJQprYXCsLtQN5hG+ytI9YSslCmthcKwu1A3mEb7K0j1hKyUKa2FwrC7UD eYRvsrSPWErJQprYXCsLtQN5hG+ytA9TpVQQGRbSxOZa0YYtE77J0j5KWRiNpjQ75/VrVk1J hhTcjWEhTeqs1dyWNght2DJWvuscCpjNuGbnPJtxjd+J1s0XW7vfQzfd0paqqYONDVLCsa+w iT/LwUPEOJFmXDf0IOOgVcw1WUjT5bHqlHSoWc64ShsbfJ2hS8w1WbDDXHbEnnEwTGgc4IrN NLG5VmAHGge4YjNNbK4V2IHGAa7YTBObawV2oHGAKzbTxOZagR1oHOCKzTSxuVZgBxoHuGIz TWyuFdiBxgGuuN9t2z3BCwfMQuOACgTPMjIOqkLjAIA+Q8YBQJ8h4wCgz5BxANBnGsu4Ot8M BQDQEmQcAPSZES/f15LRPqPDRqu9p99stHS0MPNymWaZ3M57ielX1eU3/Yp5+f8HAAD//wMA nkzosxAfBgA=</item> <item item-id="39">iVBORw0KGgoAAAANSUhEUgAAAaEAAAE7CAYAAAB0VT7nAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA JqdJREFUeF7tnUuS7DaSRbO30GZtNdNeNKjFaBea1Fy76pEWoaEmvYXsjBePCgYTn+ugg3AQ p8zCVPkCBAHHxT1wkEH+1//9/ffnR8f//fe//vXxdY6OZ6BqIkAEiAARmDYCDwj1/HwFpmv9 PdtO3X21QXyJLxpAA48sBUgQAzSABtAAGhiiASCE8IYIj8UPiz80gAZ+XA5CCAgBDaABNIAG RmkACJEJkQmhATSABoZpAAghvmHiu3Ll9fHx59ddoPf4XBk3zkWG1FsDQAgI3R5Cd4HP1o/e pkD9gOdKDQAhILQMhK6cWD3OBYSAQw9dja4TCAEhIDSJBoAQEBoNjB7nB0KTGFCPwV+lzruY 9136sYru6Ke2aABCQIhMaBINACHN1DD/ueIEhCYxICZW+8S6i3nfpR9ouV3Ld4wdEAJCZEKT aAAIYd5AaJLJeseBok+aAT2M+hiru5j3XfqBljUtrxInMiHAasqEvh6K/vWjz9fnqony629/ fe4/qfPufw+0//4u5t3aj1rcrhpDzgN8kvN2NmH87//855PPuBgcIXTVWBwh1PID1Nm0nsvo rH3fx+6q8dqfZ/a40/6+8ExmQp7vAPKsa8QE4pzvwFsRQp4afhhaa31W+Gzl7wSh1tilM2ff d515tu2MTmbr61TbcRsQWJn0XZmU4httOy63Bcd23Esjo7bjmK/j5ulMHgmEuCZkuib0EHck c1GukyhlZpi0s/Ujkk5mGN9V2wiEgNDUEFIm7mzmnevTbP0AQmRC0vxUCkUpg6hjiHq2cZjN vIFQDJ1H8b27t4NMiEyITGgSDcwG09kWK3c3+6j9A0KTGFAkAc1mLrOZN5kQmVCk+d67LUAI CJEJTaKB2WA622Klt9lSf3pxAYQmMaBIAp7NXFp/XxP1uEhaKLVlNp3MEte7tRMIAaFlMqGo ULG2axYTAkJsKypaBUJA6PYQUiYCZfwNEwj5x/SOOgVCQAgIoQGzBhQzBEJASNEJEMKAzAaE uWAuirmgE3Si6AQIASEghAbMGlDMBQgBIUUnQAgDMhsQ5oK5KOaCTtCJohMgBISAEBowa0Ax FyAEhBSdACEMyGxAM5vLL398fuY+jwnz+C43cfbf5cqVjlcm5J3KzKyTO41D9L4AISC0FIT2 EzIFDAuErMdHNwPv9gEhMiFFU0AICAGhnQYsEEplTmRCL+MFQkCoGUKer6n1rKuHqD3b51nX Y/Ci1hd9HNTYqZnMNg6p7bhjHQqEoo6rGjfFWB5lousk8jh4j0XkvpIJkQmRCZ3IhI7ZkAIh 1cRnL9cDQrPHhPZ/zw6BEBACQkDIrAHFTIEQ23GKToAQEDIb0F3MRd2O2yZS6e647TsyIa4J KcZLmZdOgBAQAkInM6H9lhwQAkIAxpYBAiEgBIQcILSBCAgBISAEhMymimhsorn7dlzqx6zq DQhACAjhJzY/IRMiEzJD+y4QwixsZmGNFzrpG1/reEQtD4SAEBBCA2YNKIYGhICQohMghAGZ DQhzwVwUc0En6ETRCRACQkAIDZg1oJgLEAJCik6AEAZkNiDMBXNRzAWdoBNFJ0AICAEhNGDW gGIuQAgIKToBQhiQ2YBmNpePj8+vB8OmP8+HRubfJ7RNKKWMMvnuXmZmndx9bCL1DwgBoaUg tJ98KZjUALMBLNIkjtoWIEQmpGgTCAEhILTTQAlC23c1UCkTb4UyQAgIKToHQkAICIkQYjvO ZqpAyBYvxbDvWAYIASEgBITMGlDMEAgBIUUnQAgImQ3oLubSck1IvXlBmXx3L3MXndx9nEb3 DwgBISBEJmTWgGJcQIhMSNFJEkKe7yP3rKuHqD3b51nXc8X94WoOXvVFHwc1dmomdIzb2RsT vMbhdY3KTyeebYuuE8++qppTTDn6uHr3lUyITMgMuh7mYpmcXmVVCB3PdxZCXu2PXs9ddBI9 zrO3DwgBISB02I5L/Zh1P9GBkLbNBIS0OM0OkbPtB0JAaFkInZ08HF82WSAEhJQ5AoSAEBBC A2YNKOYChICQohMghAGZDQhzwVwUc0En6ETRCRACQkAIDZg1oJgLEAJCik6AEAZkNiDMBXNR zAWdoBNFJ0AICAEhNGDWgGIuQAgIKToBQhiQ2YAwF8xFMRd0gk4UnQAhILQchD4+fv96GsX3 jzJhXr9m//1b3NQ6H+VK5zrWo7SrdkztnMo5rGWAEBBSNAOEgNByEPr+BIQyFFLlU6auGP0G i9zkbKlXOUZpm2IYljJACAgpegFCQGhpCFnNeSuvGH9qAtYglDvGAq1Utmbtp2IetTJACAjV NPL4HggBISDUoIGjqSsmXwJYbXvOC0IpCO7bte9HCzD37QRCQAgINZiLErTVy9zFXFIgUa8X Kcfmtv1UYCkQKNVVAkrtu+P3LZq/i05a+s4xOoDJhADVspmQAgM1A6ltz50xdRU0pWtdpcyt ltW1xgkI6Ua8MrSAEBBaEkKtxpq63qKACghhyCuDprjdPFNgWFnFmMh3GIdc5tK6HVe6oUCt U4FZKdshE4oxP2by1AhtJRMiE1ouEzqbBf24o+fwW5/adtx+slu312rtVc7NdhyAigCc5GIt asNS7brDCnymeOfaOvM45LKSmtErGcixbjWzqd3koGimdm4gBIQUHY0ok8yEPN+97llXD/Pz bJ9nXc/V9oc5SynuvTrVF30cvGMXdRxe16f8dOLZ1+g68eyrt+a864vcV7bj2I4zg66HuYxY gXHOvtkBOukb37voFwgBISCEBswaUAwQCAEhRSdACAMyGxDmgrko5oJO0ImiEyAEhIAQGjBr QDEXIASEFJ0AIQzIbECYC+aimAs6QSeKToAQEFoOQh63aZduia7dLq1MzDuUAUJASNExEAJC S0JImRzq73yet9M+30mk/HD0zLlnOhYIASFFr0AICAEhowZKoAFCL+MFQkAICBnNRQkYZf7+ nN1crE9HOI45ENLMdXadMNe1cT4bJzIhQLVkJlR6qGjtmlHuMTtsx72bFhC6xsTPQmD08UAI CC0JobMTbw8qrgmlzRYIASFlngEhIASEHDTAjQnfDRcIASEg5GAuShBXKzO7udSuCdW241Lj DYSA0Go+4NVfMiFARSZk1IDltQi560ReEzhyPbMvViLH9k5tA0JGA7rT4Lf2ZXZzacl0UnfI bfWUvqtlXa1jMMNxs+tkhhjfoY1ACAgtlwndYeLO0AcgxDUhRafTQOjX3/763H+UzlGmzyTA XPrE9W56RSfoRNE0ECITIhNCA2YNKOYChICQopNpXu/dKxN6vPb2lz8+sx8liFuZyK/QfV4g 93kNdA9z8Wpbj7GI3DbPcfWuK7pOGNd2SHrGjkzosAp+AMkCnhXL9jCXFeN49z6jk3aTv7s2 9v2bBkKvFe6fXSEBhOoTB3Opx2glE8n1FZ2gE2UehIDQ578/Ph8fqcEff35tK/UDUQ5C+y27 fTu38qn/7uvajlf6GL0M5oK5KBpFJ+hE0clwCG0AOv431fgHfPYfpYPWMikIHf+tBJcjbFJ/ W9sUrfzs5lJ6eKkl1pbfANVedJery3IOS9uvKDu7Tq6IEef4ulY9OggKhK6AzxaHFgilMqNc fXfY7pvdXDyMPfdD1fTi6fnCu7d98J8vwXttM38v8/jOo62j5vjsOhkVt9XOOxxCj4DXtuMi QOh4B50KmVIWNavYZjeXs8Zeek5cDTY5EJEJsXU1qx+cbfcUEHqtFvteD3qcR8mEzmQ+ZELj zeYshGrZSynjyU1YBUKpbcSzBtDz+NkXKz1jQ90vHwBCwi3atWtCZ6A0oxhnN5eSmVueK6fA TCmzbbtZrlWp9Y7U1+w6GRm7lc49BELH7bWr/lYGtvXuuNbtOaVN0crMbi5eBq7Uk3sL6/Ga kpIJtWRYI7Uzu05Gxm6lc18OoauAkzvPSoPbq6+zm4sCDyV2Sj2lMvvvLBBSzqu0v3eZ2XXS Oz7U/9ySGwahlgHYwHL1sS3nu/Mxs5tLDQzqtpgCg9q5Np2oEFLOGUV7s+skShzv3g4gxMMr pR8J7yfC7ObiZeRqPalyqW26lNmo5SIa1ew6iRjTO7YJCAEhINSoARVCP7Ycvn4XtP8czUTJ hEo3VEQ0JyA0/k7QiLr4pv2rGzlqS+3Mea+OUfTzYS6Yi6JRdIJOFJ1MlQk9V5RtvxVqPU4J 4mplMBfMRdE8OkEnik6mhZAVKtbySvBWLYO5YC6K9tEJOlF0Mh2E9tmQBSylsl/vevvKsNIf JYhnyzzOfbaOK4/HXDAXRW/oBJ0oOpkSQlvHLM+UU4F1NRA2+CmDFaUM5oK5KFpEJ+hE0cnU ELJcI4oIoQ14V4NPEUapDOaCuSgaQifoRNFJEkKu7w//cth9Q1QY5Br/aFvL0xBy5z32NQeE /Xbde3+eW2nP7x9t2//92mYrZTz5c2ov+lMG+tlGn/p6mItX215Zsk9fPePWo23e7fMch+g6 8eyr9zh41xe5r1NlQi3wOW7d1Qw7BYTjv+3/PsJF+fvYBjIhVow1Xc74fQ8IzRgH2lye3+Eh dAY8LRlYC4RSmdELfu83HSj1Rxct5gI0FY2iE3Si6CQshLzg45UJHe+eUyFTyqJydSgDN7IM 5oK5KPpDJ+hE0ckUEFI6UiujXouyZio1yNS+364n1dof6XvMBXNR9IhO0ImikykgpAKk1GG1 DgVCx2tCbMcx2ZTJtloZIMS8UDQfFkLHbbT99pzSse8X/7XH/bTeHde6PUcmxERt0fMMxwAh tK3oNDyEvGCkZkJK0FYvg7lgLsocQCfoRNHJNBA6CyMg5DchMBe/WCqTdNYy6ASdKNqdDkKt MAJCfhMCc/GLpTJJZy2DTtCJot1pIXSEUa2zQMhvQmAufrGs6Xbm79EJOlH0OyWEWn5DBIT8 JgTm4hdLZZLOWgadoBNFu1NBqAU+1oxJCdrqZTAXzEWZA+gEnSg6CQ+hM+DZB6CWCX18/J58 p0/u35Xgni0z8tyltmMumIuibXSCThSdhIWQF3zUTOhh+CnTHwWCXHuUQe1dBnPBXBSNoRN0 ouhkCggpHamVUTOhI3RGQGg754hz1+L4+B5zwVzQCRpQNKCUmQJCNYBIHf0oPzEhZ/x7EJQA tT/+eEwrTFqPU+JxpgwQwoAU/aATdKLoJCyEjttovR/bk4ONBUIl+BwhtW237f97HDAgxCRW JnHUMkAI/SraDA8hLxjVsikPCL3fCPF+o0MLUFqOUQb9bBnMBXNRNIRO0Imik2kgdBZGFgg9 zpXanlO2417tBEKKAEeWyd38EunfR8bn7LmBEBBSNJSEkOf7yI911WBQa/RWX8ooSsfmzvuq Lw0N23bcxz+3eeeAldqGu+rOPK9x7WEuXm17LQJeY5HSRSTQlNpSmw/PBVO5r0odatwsdUXX iWfcvMfBu77IfZ0uE/p+3UR9RYN2Y8JxS620TacCap9ZWSYx23H9VpJnF0OWcWwpG719Sp96 QEg5L2X6zZsesZ0SQi2/IapN6pzhpzIa61YdEIo3KWp66DHZLHVGb5/SFyAUT/fKuF1dZioI tcDntc2gZUxXD8CM57uDuUQ3+ejtU3R7B50o/aTMOdiGh9AZ8LxvrQEhr8lyB3OJbvLR26do 6Q46UfpJmZtCyAs+ZELnBJKaYCPN5esqfPIZf1YjiG7y0dunxHukTpT2UcbfG1piGjYTOvvj 1GMw7jCpWwa4xzGjzGUDkAeIoushevsUXY3SidI2ysQA0I/r5VcPhjq5jpnQ2Xaq5z17nhWO H2EuD/AcP2diHV0Pnu379be/PrfPmZhZjx2hE2sbKT8eRmEh9IOQP5/35jEhPepAsE/BXm0u KQA9xvPx72d/7xN1TM/2a3/8HkLb2F3536gxpl3jARQ6E9oLxANGNQjlfkSqCLX0HLjjdy31 fd9aTL/7SKnbo8yVENpvwe1htI3nWRB5xKNHHUAohkH2GFvqfB/b0JlQDkQtg1iD0BmjV39j 9MzuygBJfV96XFBLLM4ecyWEHm3NbcWduTZk1cPZmFmP92zfqO04a58pvyZ4p4HQfnuuRayW SV0DhQosBSjvoM0DqvR0hpZ4nDnmaghtINq3ecuAWvth0UPrOc4cF719Z/rGsWvCJjfuQOhr pa1CJRXEErB6Qyj1zLnjKyO2NueeT9diCCMgtAfRWQCdXdC0xMx6DBDCqK2ambU8EDpAKPeY ntx1n9r1IAvgVKAdgXLMkmp/nxXrKAilMqLWvkQ3+ejta407xwHXb554tSjOTK4rjvXYiks9 W26fkWTT0sL1IvVhqbXrR9b+pdo6EkJeej2jJa82lOqJ3r4rYsA51gAWmdAuE/Iw6OdWz/Pa Tu/tuBTYgJA2caObfPT2AQhNZ8SpHicgVIFQ7tZtZesMCNUFOGqSRjf56O0bNW6cN+6cah0b IPQTQq1ZUAk0Vgip2VMp2yET0iZpdJOP3r5Ww+E4TZ8rxQkI/dw2y2U8ihiOx+6PKX1Xuja0 P652c4N6vSgHOaWP+zJ3uibk+aPQHnVZx4bymPxsGpjq9d5nVoe5Yz1fe+tZ1xMYPk+Mfl07 8qmvB4Su7msPYPSoUzEUz9h51hVZw9Hb5t2+yONKJpT4nZAy8Vcu0wNCK8eTvpO9rKwBIASE zO/nAUKY5sqmSd999Q+EgBAQQgNmDWDEvka8cjyBEAZkNiAyIQxoZdOk7776B0JACAihAbMG MGJfI145nkAIAzIbEJkQBrSyadJ3X/0DISAEhNCAWQMYsa8RrxxPIIQBmQ2ITAgDWtk06buv /odBqMcP+5Q6EdB5AQGh8zFEh8QQDTw1cDmEnr8E/nPIh0H3mfhAyCeO6JE4ooFBEGoN/JnH 9rSek+O+GwUQwjyZF2jASwNDMqHWxgOhGMIHQjHGoXUecRzjF0kDQIgbE7gxAQ2YNRDJxGjL 3FAdDqHH011Tn5SwyIRiiI1MKMY4YL6Mwx00AIRYBZtXwUAI87uD+dGHGDoeDiGLEMiEYogG CMUYB8vcoSxjFlUDQIhMiEwIDZg1ENXQaNd8sJ0GQr/+9tfn/oPYxomNTGhc7NE9sb+bBoAQ q2DzKvguEBr1o2n1vHczG/oDQJM3nKXvQvswG1NOYF7vNu+VCXm179F/z7oi19cDQlfHTgXB 6HKKcXvGzrOuyBqO3jbv9kUeVzIhMiHzgqMHhBSz9SwT/SaX6O3zHAvqWjtDmgZCz5XB85lz iHasaIFQ//ij9f4xxkdixBgIkQmZoQ6E+k9eINQ/xkAoRoyBEBACQgE1AIRiGCSg6j8OQCig AUUXPpnQBROTrWfz4ij6vKF96XkDhICQebIDISCEofbXwCoxBkJACAgF1ADbcZg8EGJims15 FdGMyIS8fycW3eQ928eTRgBaZG8Kkwn1+FFg5MDP3LYNQlf+9wghL71EHQev/j3q2cfuyjGb 4VxRx3+ldgGhgBlfdAGOMBcg9PyNXMsHCP3nM6fZ6HNthfaFgdAKwaaP7dsibMf5xA4NPuM4 YkuZ2N/g7jgGsd2IiN177DyvufSIbfT29ejzlXUCoTheQibEdtySN2BEN/no7bsSGD3OBYSA UNb4Wva8j8f0EC11xhGtx1hEN/no7fMYg5F1AKE48zlcJgSE4ohjpEn0Pnd0k4/evt7j07t+ IBTHZ8JBqLf4qD+O+EaORXSTj96+kWPncW4gFMcHgBDXhLgmFFADQKivSQKhvvG1LBSAUEAD sgwgZdsmU3STj96+2XUHhNrmTY9xDwuhlmtDPQJEnXHE6jkWLfoacYxnn6nrpWUgFGdeJyHk +T7y1rpaJnzLJGttX+pcnnU96o9cX+S2KbFr0deIYxRNe46FZ13KOCj925fxal8PCHm1beuv Z32edXmPa9hMyCpOysdZ2TAWjEV0DfSAUPQ+R20fEOKa0JI3JkSdkLTrGoADoWvirOgZCAEh IIQGltMAEAJCy4leWRFQJs7EYCzuPRZAKM74kgmxCmZBgAaW0wAQAkLLiZ6VdRzRb2Pxyx+f n9vnOD6Pf8+N2f67XLnS8WhhvBaA0Pgx+OcuQCZEnMFgLK4biyMkan/vx+YIoRRwgNB1Y2md N97vprKen/KH16oQkLiThbHpMzZK9mLNhCwQY1z7jKsaVyA0Nv7HceKaENcDltsaVbIUIBTL qFTAKOWAUKyxBUJACAglNGCF0MP8lGtFiklSpq9J9obQ/lrj8f8ztt/HFggBISAEhJbTwAMG j8cw9YaCknX3bkP0+oEQEOo+EaNNAsUYWjKhfTaknCNaXO7Sns9/f3w+PrX+AKG+GWct/twd B3yqk1QV0WzletyYsMVgqxsIXW9wG3yO/03p8/gw2l4aLmkt9fOAo372fyt3ZfbqR896yYSA 0ZIwqt3N1poJbdkQEIoLodzT0HsYrXL7fgkuR1Cl/u7R7ivrBEJAaEkI7WGRM4rUBWb1BgQg dD2ENuOsbcftIdTbbFsgtG/TmcVS77551Q+EgNCyEPKaRNQzDjip2NcgtN2UMOqaUG5xc1zg tPw9oxaBEBACQmjgVhqYAUI5WFgznztk3EAIA7qVAc24EqTN5zKpqG+8TWUytewGCP00ZM9X wXrW9Uyj67deWia1Z32eddHXs8bkpxPGtX0sesduBIC2cx59JtXX1rvjtvlvhVLO+3qPg8Vz v8XtzMEc2z45iR2xQwPnNZADQi22rcddeT2p1oe7fM92HNtxbMehgWk10AqT1uOA0PmFA5kQ hjOt4dxl5Uc//IysFSatxwEhv7Hb5gGZEFBaCkpflxS/riumP0+Dyb/M7ngcMPE3JGtMW2HS ehwQ8h9zIASEloLQ3uRSwMlByFLWaqSUbze2ETA5c07GmqdoL2u4iD8h/kTWU8qEvt8Nlc+a iHc7WCyxOwOE1ufHnTmnpW+rlCUTIhNaFsxnsxsLsFYxlKv7eRYILSCqnbO25dsrRrNuFwMh IASEdhqwgMVStpfxrF5vDQhqfCwwspzzKo2cXVCpcepRDggBISDUAKGrzKXHpL9TnRYg1Pqt 1qWWq93oUmvP2e9n0SgQAkJAyAihWSb3WROb4XgLEHL9ST11odR3yzlLN7ps22epm2W24/b/ 3deVOnbWa5ZACAgBIQOEANA1NxyoALQA4d3s//zxem/LNtx2vOWcyjZZCS5H2KT+zsN1jhtn gBAQAkIihABQLAA9t7ueILFCqwU+V0EolRm9zv0OFstPCtQYXV0OCAEheQJfLc7e58utUkt3 N816B1LvWI6qX4VQa9aT6pd6ztw1oZS+VMgcNatkWqPGRj0vEAJCy0JInSSUi5cBWbOSPYTO jqcHhNQttBp0at+f7esVxwMhIASE0MC0GlCBEC0Tym251aBS+n7W7WIghAFNa0BXrNI4R9ws yOOaUMv4quDLbcdt/166O866PZfbQm7p39XHACEgBITQwLQasADhPft4vzPOYryt57ScY6Wy QAgDmtaAVpqo9DWdkZ0BQusW3ZlzMo48wBTDBbpo4EYa8ACCFUYe5wRGLxglMyHP95F71vXc S/1wNRHP+jzroq/nrkWUxuLj4/cvHX3/5O9YsmnuUfexrtL5jt+VDCpVtqa7Wv379tbqsppn 7/rOAOHYNrWuXLnefbXG/n370abh2rk8+8p23I1WhTXh8H1uS+c7NFpjtRl+CkKpOnPAOlv2 dWE7DcR3g/Lrf2vcWo9TwVEGu+3JCR7nbO3vHY8DQkDINbOcbZKkINDah60uC1hU2Dwz4zpQ VLi8Zz/rQSi1Bac+eQEIndul+LZAa51wHOc7EMRzTDxrW2ct43Ks0wq6XPneEEplcXuwHsFl 7VdLLGvHWIFwBj6v7LL+qCDLGNb6ePb72nbs2frPHk8mRCa0bCakmPrRhJVrSSkI1Yxg/31u UufqVcvnsqQjfEqwKZU9a0Ytx6sQst58oGzflcs8rzl+W/Un/q2l3+oxEdpQaysQAkJA6O0B pu/G0bLaVzKhUr217/YgqJVVAFVqb60vLfGpmZLl+xYIWepPb5fqmVAtfmfb0nL86DFjOw7o LAsd5XqJkunUJr4yyVvhYVlZq+dYDUIquPIA94GQEvdU5qnoq5al1TR85fdkQkBpSSjlJnLp 31OAat3uUAFRM4PWeo5bbqWtuhK8zxpirX+1761AOfMKh60tyjlz8bXE/Vg2dWxOk626qMW7 x/dACAgtByHLBG0xWWULZitjgZhSr5Ip1epRjfJxrpb4eBqZAoTSllrL8coxHhDqAf/R45Uc C09BUNeYO7yIux53ZeW4L9MS2xxYcvUe21Qzn+MWTa2NpfpTIFkBQs9+234f1JoJ7WOsxtay UKiN/6vdMW/FJxMiE1ouE1InLeV0uI+KlZKV1NpmhZFyzhxEvCGkLKoiZKylMQBCQAgIoYFp NaAAoQYhS4azz6CKxlp4dFMqMzlmt56ZUMQtuLdsXx0gysVfFTJGjNFqGvCA0BWZUG5LbA8f NUuyZDa5TCmSTsiEWAVPuwqONJFoy5gFQCuEzjw5ofWcaCTz7EYCM2byEHfijgbOa8AKhDPw sW7bMb7a+JIJkQmRCaGBaTWgQsi65Va+3lP/sSoA0gD0Y2uRYOnBIlb3iFWvffLardbqrd+1 W6pTOqwdE/3idOvcaoFQ67nIhPrMfyDEKnjaVfBZM8ldLG6pt/Sj09J3x3NZypbaX7u7qqWP EY8BQn3AcOVYAyEgtDSEemYIW90WsFjK1u6SKt1tdaXJ9DyXCqFnrN5/nNraLss5W8+x0nFA CAgBoYMG1G2zmlFEhFDqaQv7dh7B1RPStfgp31uB4AEi6zmVfqxcJgkh1/eHf8R9t/lzdeTX Ps+6vNvmXd8d+qpkHU/T/vjxjDTlWlIKYKmtsZK5167v7A1ra1/uOtF+yy6XGe3BtO+rx3Zl b520AqH1uH1G9X0r9eUlilZq4MnpM7dIKukmNw41reV06jmuZEJkQstmQiqEamaR+z6VVZSy o9z2Wg1Y6vmP8MpBJgXN1hj0Pq4VJq3HlSBU6qs1oyxlrKlxVLT8HZr1l+5Z290y3kAICC0J ofwK7/xL7ZQMQj1/DkzWc5TAUoPOFUbUYl6tQDhzXMux1vjlFiol0FghpC5srG1vGUcgBISA kPBm1dz2ijqZlVUomZD9Tq/WjKb1uCsgpGaoe730hlApMzt+lypbzBJbyMUx9slCzOLEzAIO dSVoWaVazl/LhFRwkQm96+8qCKXinlvQ1BYqFo3VdKNqMAWYPST39ZTKAiGynSWznZTwlYxm X8ayeDjWfdy7z60Qa0altKF07pQhHc0jdZ1B2fJT2tazTCtMWo+zZkLqIian1dK4XJkJpbRQ WtjUIPjWr54Coe44q3/GgrG4owZaYdJ6nAVCZwBUWzgcodB7Ow4IkcmQyaABNJDQQCtMWo87 CyElE89loKO243LZGJkQpoQpoYHlNdAKk9bjVAidzYJ6Z0K57TILWCxluSaEWS1vVnfciqJP r0fxWGPRE0KWbKdozoW3s6auL9auC+auO5WugV5xQwu3aAMoAIUGptVAK0xaj1MzISsUVy4P hDCgaQ1o5YlL3583mrTCpPW4M+dkzHizKmYLcNHAzTTQCpPW44CQ/12mZEI3m5SstuqTxGPP Xv1NkMcFasY0P6atMGk9DgjV55dVr0AICC2XHZwFg+etstYJS3mfJx8AIX+YtGoTCAEhIGTU ABAKZGA/X1RnNUAgFGgMrYNH+TiDx1i0jQWZUFvcIuqtFSatx7Ed568dMiHjKjjiRKRNtolR uyakfL+P+f43G9bHpzB2trE7xqsVJq3HAaFz45X8rRKTwD+oxDR2TM9mQk8jer1pdft7/98j pNBEH00cX9d95d+Mqc+Y8npvXu/ddE3I8/W+T/P2e816rT4rhJS2bXUqmZBSn8XgPOvzrKs2 DpY+bmVT7bsSPKUMKnLsQretRQgc47MCII5j4liDUG07Lrml8PMRKwqEGPcx4/6enf7544eu jEWAsWAQxg8CY3DtGNQgVBsPy/O0clt0tXPwfV9NnLkmxNj4jg03JnBjwnKrwZZM5/sF8fdr QsdrQKWHQmJivibWEk8gNH4M/tlibRlAjokzgIwFY4EGXhp4XPtIfb4vItiOi6IbMiEyoeUy oSiTj3b4LyCAkH9Me+sUCAEhIIQGltMA23FxYAWEMKDlDKj3yo764xhcbiyAUJwxAkJACAih gaU08Otvf33uPywaxgIJCGFASxkQhjPWcCLEHwjF0gAQAkLLQSh3i7bVIC2/Nyq9f6j0WyLL OaztX7U8EAJCy5neqpM9ar89jH3/0NJaP5WnKOTa5NHWWvtW+x4IASEgRPY1VANnjb30nLjU j1rzF8d//ycOQOhaY+TGhGvjXVrosB0HEIYCYcQq/CyE/vml98/nxRUnmFBG3Y5LbSOOiN8d zgmEgNByxneHiXuXPpTM3PJIHwVmSpkNQpZrVWq9dxkz734AISAEhMjAhmnAy8CVelIPO009 V866Haec29u471QfEAJCwwzoThOJvrRNJC8DV+opldl/Z4GQcl60UdYGEGqbOz10xTUhMpLl FgQ1MKjbYgoMaueqXV9KZVI9jGC1OoEQEFrO+Fab5JH7q8BDab9aT6qcChe1nNJeyuyfts1T tKPogUyITGi5BYEKj9oktdRzzK7UW7mPW3a1emptXuV771d+rxK3Ef1MQsjzfeSedT3vIvpw NU3P+jzroq/ntgs8x8KzLsb1mnEdAaHIOgndthHk45znJiLxI35oAA3cRQNsx7Ed55pZ3mVi 0A9MHg1cowEgBISAEBpAA2hgmAaAEOIbJj5WmtesNFeNs8d1oVVjd2W/gRAQAkJo4JYaAEJz LHKAEAZ0SwO6ciXHueYwO8Yp5jgBISAEhNAAGkADwzQAhBDfMPGxMo25MmVcGJcrNQCEgBAQ QgO31kDLtaErTXj1cwEhDOjWBrT6BKf/j6esPJ8TZ/kQt+uyQSAEhIAQGkADaGCYBoAQ4hsm Plab1602iTWxjqoBIASEgBAaQANoYJgGgBDiGya+qCsz2kXWgAau0wAQAkJACA2gATQwTANA CPENEx+rzetWm8SaWEfVABACQkAIDaABNDBMA0AI8Q0TX9SVGe0ia0AD12kACAEhIIQG0AAa GKaBJIQ830fuWddjdRK5vsht844dfW1fKUaOXeS2oeGbao60s31giR2xQwNoAA2c0wDbcaTh w9JwJu+5yUv8iN8dNPD/euYwG7xjd1wAAAAASUVORK5CYII=</item> <item item-id="40" content-encoding="gzip">H4sIAAAAAAAA/+ydB5zsVN2Gc+lceu8duyJ2wUoRRUEQe5dypQhcql3E3nsXG/aOYFvsBRUr WFFs2EX0s4BdyPfOzs5s5iQ5OTnnf3LKvM/vvrA7k3lzJuXZTCY7u2FRFCuQ+yIrF79eC//d 4IDDTlx14OqjDz5j1UnFIhsj687csgGy/jGrjz5i1bHHrz55rcXb9kHWO+now446YdXRZ4wn O2KxdA38d53Tjztl/9WPH998yKgPNxwxnfBQ5GxkVwzjOgzp6g2Wvx9x+XgWqFpjzcUhbz6d +X5nnHHa8UedecaqFYtT7ItsUlRZa9/dZ77f+pD1Fp/2mkvPfum/uPXSSza74tzzt/9FoXBn THtduX6xTuW29aePBpsWi09y9P11ZVlO54ysPXryo+c7WjpLj1u5tARLEhXXInuuNV6H1y19 r8tGS/vGJuNNoNhstGEiWyBbIluNtjZkG2RbZDtke2QHZEdkJ2RnZJfRlo7shoy21T2QPZHr IddHboDcELkRcmPkJshNkZsheyE3R/ZGboHcErkVcmvkNshtkdshty/Ge+ho/7gDckfkTovb dlHcBbkrsh+yP3IAciByN+Qg5O7IPZCDkXsi9yrG+/Bor703chhyOHKfYrzLj3xyP+T+yAOQ ByIPQh6MPAR5KPIw5OHII5BHIo9CjkSOQo5GjkFWIY9GjkWOQ45HTkAeg5yIjGR0MrIaOQU5 FTkNOR0ZieVM5LHI45CRep6APBF5EvJk5CnIWchTi7FtjkDTajxyVzzzk/H/0xYfYc7W2Nsn 29LIBysXHVMUnxvffVB12ivOueq8yy68eMXiFEsiWYElvxrP6hQs0aMWn2k/Ni/WWDFyzmQM po87tJjM/zAs11XYjvbGej0SS+B4LL9VxvPfHvMfPZU1l8Zg8pgNkWfutV5t/gdj7quwLEbj OMlwDDtj/tX92eQxo/W09tLXE39PQuaLFVj7a64cb7vqvjv6+X34/qedefpxRfOX1+xzwanV Dev/rryy77/R9ndM70ct/1sx3pwLx2HMy79C/f5pWF5PR54xchLyLOTZyHOQ5yLPQ56PvAB5 IfIi5MXIS5CXIi9DXo68Ankl8irk1chrkNcir0Nej5yDvAF5I/Im5M3IW5Bzkbcib0PejrwD eSfyLuTdyHuQ9yLvQ96PfAD5IHIe8iHkfOQC5MPIR5CPIh9DPo4sIBcin0A+iXwK+TTyGeSz S9v555EvIF9ELkK+hHwZ+QpyMfJV5GvI15FvIN9EvoVcglyKfBv5DvJd5HvI95EfIJchP0R+ hFyO/Bj5CfJT5GfIz5ErkNGB9y+RXyG/Rn6D/Bb5HfJ75ErkD8hVyB+RP422b+TPyF+QvyJ/ Q65GrkH+jvwD+SfyL+TfyH+Q/yL/Q65FrkMWf1Bg5xn98Fpj9MoAWQtZG1kHWRdZD1kfWYls gGyIbIRsjGyCbIpshmyObIFsiWyFbI1sg2yLbIdsj+yA7IjshOyM7ILsiuyG7I7sgeyJXA+5 PnID5IbIjZAbIzdBborcDNkLuTmyN3IL5JbIrZBbI7dBbovcDrk9sg+yL3IH5I7InZA7I3dB 7orsh+yPHIAciNwNOQi5O3IP5GDknsi9kEOQQ5F7I4chhyP3QY5A7ovcD7k/8gDkgciDkAcj D0EeijwMeTjyCOSRyKOQI5GjkKORY5DRS7pHI8cixyHHIycgj0FORE5CTkZWI6cgpyKnIacj ZyBnIo9FHoc8HnkC8kTkSciTkacgZyFPRc5GnoY8HXkG8kzkWcizkecgz0WehzwfeQHyQuRF yIuRlyAvRV6GvBx5BfJK5FXIq5HXIK9FXoe8HjkHeQPyRuRNyJuRtyDnIm9F3oa8HXkH8k7k Xci7kfcg70Xeh7wf+QDyQeQ85EPI+cgFyIeRjyAfRT6GfBxZQC5EPoF8EvkU8mnkM8hnkc8h n0e+gHwRuQj5EvJl5CvIxchXka8hX0e+gXwT+RZyCXIp8m3kO8h3ke8h30d+gFyG/BD5EXI5 8mPkJ8hPkZ8hP0euQH6B/BL5FfJr5DfIb5HfIb9HRj8g/4BchfwR+RMy+qH3Z+QvyF+RvyFX I9cgf0f+gfwT+Rfyb+Q/yH+R/yHXrhifbcAP/sWfnCuQNZA1kbWQtZF1kHWR9ZD1kZXIBsiG yEbIxsgmyKbIZsjmyBbIlshWyNbINsi2yHbI9sgOyI7ITsjOyC7IrshuyO7IHsieyPWQ6yM3 QG6I3Ai5MXIT5KbIzZC9kJsjeyO3QG6J3Aq5NXIb5LbI7ZDbI/sg+yJ3QO6I3Am5M3IX5K7I fsj+yAHIgcjdkIOQuyP3QA5G7oncCzkEORS5N3IYcjhyH+QI5L7I/ZD7Iw9AHog8CHkw8hDk ocjDkIcjj0AeiTwKORI5CjkaOQZZhTwaORY5DjkeOQF5DHIichJyMrIaOQU5FTkNOR05AzkT eSzyOOTxyBOQJyJPQp6MPAU5C3kqcjbyNOTpyDOQZyLPQp6NPAd5LvI85PnIC5AXIi9CXoy8 BHkp8jLk5cgrkFcir0JejbwGeS3yOuT1yDnIG5A3Im9C3oy8BTkXeSvyNuTtyDuQdyLvQt6N vAd5L/I+5P3IB5APIuchH0LORy5APox8BPko8jHk48gCciHyCeSTyKeQTyOfQT6LfA75PPIF 5IvIRciXkC8jX0EuRr6KfA35OvIN5JvIt5BLkEuRbyPfQb6LfA/5PvID5DLkh8iPkMuRHyM/ QX6K/Az5OXIF8gvkl8ivkF8jv0F+i/wO+T1yJfIH5Crkj8ifkP9D/oz8Bfkr8jfkauQa5O/I P5B/Iv9C/o38B/kv8j/kWuQ6ZPHFOg73Ry/G10DWRNZC1kbWQdZF1kPWR1YiGyAbIhshGyOb IJsimyGbI1sgWyJbIVsj2yDbItsh2yM7IDsiOyE7I7sguyK7IbsjeyB7ItdDro/cALkhciPk xshNkJsiN0P2Qm6O7I3cArklcivk1shtkNsit0Nuj+yD7IvcAbkjcifkzshdkLsi+yH7Iwcg ByJ3Qw5C7o7cAzkYuSdyL+QQ5FDk3shhyOHIfZAjkPsi90PujzwAeSDyIOTByEOQhyIPQx6O PAJ5JPIo5EjkKORo5BhkFfJo5FjkOOR45ATkMciJyEnIychq5BTkVOQ05HTkDORM5LHI45DH I09Anog8CXky8hTkLOSpyNnI05CnI89Anok8C3k28hzkucjzkOcjL0BeiLwIeTHyEuSlyMuQ lyOvQF6JvAp5NfIa5LXI65DXI+cgb0DeiLwJeTPyFuRc5K3I25C3I+9A3om8C3k38h7kvcj7 kPcjH0A+iJyHfAg5H7kA+TDyEeSjyMeQjyMLyIXIJ5BPIp9CPo18Bvks8jnk88gXkC8iFyFf Qr6MfAW5GPkq8jXk68g3kG8i30IuQS5Fvo18B/ku8j3k+8gPkMuQHyI/Qi5Hfoz8BPkp8jPk 58gVyC+QXyK/Qn6N/Ab5LfI75PfIlcgfkKuQPyJ/Qv4P+TPyF+SvyN+Qq5FrkL8j/0D+ifwL +TfyH+S/yP+Qa5HrkBIZnawfnTxbA1kTWQtZG1kHWRdZD1kfWYlsgGyIbIRsjGyCbIpshmyO bIFsiWyFbI1sg2yLbIdsj+yA7IjshOyM7ILsiuyG7I7sUTkHTYbj7L3WK/Y/9ISls5GjM+ej s+5nLR3Rrlg8hw+z4v6LNi4WM0FTyrd5CCHiTN5jCT0OQsg8QvcQQkJA95DQ6F/4k1zhaieh qbqHHpofuKpJaOie+WRmtQccB8mBqTkUhTS+qTq9xdA9RdH85mz9IdVhtD2KBIcrhMjR6J7G rxU9mDfr+03uJZHANUPk6HRP442detA30D2JwjVD5GhzT/2Fz2DuMeknQeBqIXJYvOYqe7pH rzHzW0hwuE6IHI1ncdzP93T95k8DvRpIELhOiBDV/b76X+UuZfqy53GPyb31+Rqe0SZDwhVC 5PC0fzue7yFxwrVE5PC302tOH9M9icK1RETx9+qm7dUT3ZMoXEuEkBDQPYSQENA9hJAQ0D2E kBDQPYSQENA9hJAQ0D2EkBDQPYSQENA9hJAQ0D2EkBDQPYSQENA9hJAQ0D2EkBDQPYSQEGTh nvpHK+g/Mc+92f0D8TRjbvxWpNn9E/x8lzd+66lZ5FMN9WvN8dM8Bl4gjs2Ny1PTnL57DHdf i8Wpf7jUmm/rsV7/bQ2OS8N3edsD/TW7FBo2yLqnfmNsi9pkOVdsZDGHqAjlHrvOzmbHH8Z0 j3mzY6fm4SJHVJpy/QSpNNM9Vs0utfrm+sGqeHOc5W0P9O0el9q2xzquRMNyl35/zY2PpXvk mtsmE2ke3+JDD44/iTuHndaP+V4T9H2gy0rUl/s7oiolVmJjP90j19w2mUizP/dYFFqUWy8Q H+4xXJjizY7uMVwg/pplrUn3pNA8vdGre+Is97RDDN9scq91ebQLpO/mkb57Su2BouMxZJDm 6QTizY5jHqC870yjbTa517o82gXSa/PIwj2EkOSgewghIaB7CCEhyNQ9jq+zgzR7LWfzYOVs Niyne6Jp9lrO5sHK2WxYTvdE0+y1nM2DlbPZsJzuiabZazmbBytns2E53RNNs9dyNg9WzmbD cronmonjGUmKE8czkuwnliqne6KZOJ6RpDhxPCPJfmKp8ljdo4y376Xekawl7j2DTRzPSLKf WKo8DvfU1WLytb6w19xjmDiekaQ4cTwjyX5iqfI43FOn0z1FaqQ3YpIssW1sLfu4V4VYUwx4 3NOLhYWF3o8ZD8ZgSDblZrB5sPKAzaNNzHhj69XsAt0jBN2TQbPXcrpHIR33jEdK98jC5sHK 6R6FdNxTTs7lVL9t/FrfID+sReieDJq9ltM9Ckm5pxz2PfZe0D0ZNHstp3sUUnOPI3G6p3NQ We4QETZ7Lad7FOgeIeieDJq9ltM9Crm7x/CSAnfongyavZbTPQq5u0eB7mFzqHK6R4HuEaL3 Wpoqh+6JptlrOd2jQPcIQfdk0Oy1nO5RoHuEoHsyaPZaHrJ5uoXRPcGge9gcqpzuUUjcPQlf W0j3xNfstZzuUUjNPVXZpP07FXRPfM1ey+kehdTc0wbdYwebByunexQSd0/9osH6xYQKC3Ew Vk71C0I8UU42+zKa7X9My049oEEs4Wsud9g8WHnIZh73CEP3uMPmwcpjcM/yhT5SzQ7QPULQ PRk0ey2nexRSdk/J99idYfNg5XSPQuLu6Qvdw+ZQ5XSPAt0jBN2TQbPXcrpHge4Rgu7JoNlr Od2jkLt76tf3eJoR3ZNBs9dyukchd/co0D1sDlVO9yjQPULQPRk0ey2nexToHiHongyavZbT PQp0jxB0TwbNXsvpHgW6Rwi6J4Nmr+V0j0Li7snhuuaye2nnuUPE1+y1nO5RSM09Vdlk8vtc Jd0TS7PXcrpHITX3VGl0T/2CHoWFOBi7Z/p12MGQvJluYGP3hB1MlZb9egh7uMHjHnfYPFh5 yGYe98iT9Pme5q9Fyo1h82DldI9Cyu5J/bin+WuRcmPYPFg53aNA9whB92TQ7LWc7lFI2T0l X3M5w+bByukehcTd0xe6h82hyukeBbpHCLong2av5XSPQu7uqV/f42lGdE8GzV7L6R6F3N2j QPewOVQ53aNA9whB92TQ7LWc7lGge4SgezJo9loeg3vUr92bHaB7hKB7Mmj2Wk73KNA9QtA9 GTR7Lad7FBJ3T1+X0D1sDlVO9yik5h7lrXK6xxE2D1ZO9yik5h6F+vCT+PyesvLhPeNvAw6G ZE91A4tqY2vZqf2LQ4ZehzKxHPcoFznyuCeOZq/lIZt53OMFuscFNg9WTvcopO+eso9R6B42 hyqnexTc3YMpq/+cprKE7rGGzYOV0z0Kju6pT9b0QLOpemPxS6J0D5tDldM9Cim7xwK6h82h yukeBZHXXAaPsn3ywtA9bA5VTvco2LlHOXvTcjLHbCq/RPr5PXRPlM1ey+kehSze5zKH7mFz qPJI3FP0+RgNukcOuofNocrpHoXcX3PVBk73sDlMOd2jYO2etimVZ9k91aDQPWwOVU73KNA9 QtA9GTR7Lad7FBJ3T993r+geNocqp3sUUnNPVTbFzLx4XbMNbB6snO5RSM09syUN7qlf0KOw EAFj91S/DTgYkj3VDWzsnoCDqdKyX+v3+pn3q1revjKbyh4e97jD5sHKQzZndNwTBxZXK9M9 bA5VTvcoJO6eAR5iCN2TQbPXcrpHwdE9hdFVg2ZT9Yavudxh82DldI+C43XNmntNp3KCr7kc YfNg5XSPgvv7XJpmo6m6pxGE7mFzqHK6RyHl8z0W0D1sDlVO9yi4/y6pcmPvqfxSv77H04zo ngyavZbTPQopX1toQRTumZwMU26RKe8JmwcrD9WsyIbumW/3qKOge+Jo9lpO9yjQPULQPRk0 ey2nexRE3udqkYzZVINC97A5VHlE7ilN90C6Rw66h82hyukeBalrC+u3mE7lRJLXFtI9sTZ7 Lad7FFK7vqcqm1R/p4LuibXZazndo5Cae9qge+xg82DldI9Cyr9LOjuLYvqFnoXQjN2j3BJq MCR7xu6pfrsQzSbXJhXtnq4TyOQus6nssbhaOdrjHv24epT3hM2DlYdqzuy4x2Tg/n+X1EIk dA+bQ5VH4p7GW+yaHRE831N7iP6gR4S+LqF72ByqnO5REHFPy4srf6+2KlX9XnbRPWwOVU73 KIica255SGPH+MZQb6PRPWwOVU73KEhdW9j0kHpHu6cGIrx7JmfhlRvpnhiavZbTPQqO7tG+ e65xE92j3Ej3xNDstTwu95RGO2GE7jF7SIuSLOvtqF/f42lGdE8GzV7L6R6FXK5rNoTuYXOo crpHge4Rgu7JoNlrOd2jQPcIQfdk0Oy1nO5REHdPy7U+VlPJQ/ewOVQ53aPA4x4h6J4Mmr2W 0z0KLu+x932UN1L6XVK6J+Jmr+V0j4L475IaXGHoQuNb5cm4ZzJ3uifOZq/ldI+Cu3var9zx fUan8cKd+gU9CgvhKCdzL2qf36PcQogUY/cot4y/KEN/ik/Lfq3f61unrLmn7Z87Vd/0fYg4 bQtSmf3s/5dv53FPDM1ey0M1tx73lN2HPl4Xtc/jngEolk6fpOSehiHQPXE0ey2nexTcf5+r /u2A0D2OsHmwcrpHIf332Hv9lhbdw+ZQ5cGaNW//JOgekz3YzAiyJ34Ep+wL3ZNBs9fyeNyz fFua7tG8wprcZTbVoIR0T9uJ5pLuiaXZazndUxuD02sus3ewPL3PZQHdw+ZQ5TG6p+Ve02Y3 0j/fo6d+fY+nGdE9GTR7Lad7amPI4HyPOXQPm0OV0z21MfB8jwh0TwbNXsvpntoYeL5HBPP1 T/dE2+y1nO6pjSHv8z0KdA+bQ5VH6p6WCYya3aB7hHByT+utZuUOsHmw8iDNRe2i5uXbm78x bXYncff0ffeK7mFzqHK6pzaGtNxTlU0xs0MbDTiMe2ZnSvdE2+y1nO6pjSEt97RR/TwNPQuD U7Z8eopmGkJEGLun8fbqt6E2v5Z9eUBxCJDKcU/r/HncE0Gz1/IgzW3HPaXZoY/XRZ3+cU/s 53tMXnDp7tCWO8Pmwcqjdk/D9x3N7qTvnjHxHvfQPek0ey2ne2oDSNc9CZxrrs2O7om52Ws5 3VMbQLruKeN/j53uSarZa3ns7mm6ie6RY1D3dL63OXuHZmiZ7RDRNnstT8A9tVvpHjnoHjaH Kqd7arPK2z3BPr+n73KleyJo9lqehntm76B75BjIPRYLle6JoNlreTLuqdxH98gxhHvaZ0H3 RN7stTwl90zupnvk8O4ebT/dE3mz1/LY3FMa6IfukcOve7rK6Z7Im72Wp+ee8RTedhm6R6jX ZInRPZE3ey1P0T0mR/PWpOweizew5N0zsY7JlkX3RN7stTxh95ReDoBSc49imr4ukXFP0fCx 03RPBs1ey9N2z/QBtS3fmtTcU0d5BrqP7llkoT8zi9z2k06Kpo/tqc5CPwEhFozdo7nXutl9 j1hoUWY67il7Hc0UTX8yo/OfAW0LsjrnjufA457QzV7LgzTrj3vKrs3SdMxW+1T6xz1jIv09 9plZd9xN9wRv9lqes3usoHuEoHsyaPZaTvfUZp2ue6pjp3vsYPNg5cM3L21RdI8X+v6GaCj3 dM+W7omg2Ws53VObddLu6Qvdw+ZQ5XG6R38/3SNHzO7RTJbTDhFzs9fyMO4x2ODpnkGge9gc qpzuqc03b/fUry30NKOO9xo6oXsiaPZaHq17yhAbXpm/exToHjaHKqd7ajOle0RwvUCc7omg 2Ws53VObKd0jAt2TQbPX8pjdU7ZMSPfIMbB7esyN7omg2Ws53VObY+ru6aWTeN1T6i7xyWmH iLnZa3nk7imbpqV7KtTfrorWPb1nRfeEbvZaHr97ytrkdI+WnNzT9qicdoiYm72WD9xseFFz 86O0zVJk5x4fnx1mQdH/U5nKxbFZPJCQOuMNqey/wQ+5Bbbs0YOIQ4DYjnsK6w+U5HFP6Gav 5QM32x33zDyWxz2tFEs7a0Tucaqne0I3ey1PyD3Tx9E97fT9NQmv7nHtpntCN3stT8s9pcsR vGl/0u4pIzjuKaQ+uJ/uCd3stTw595STn6ieJJS+e3oh5Z6i9kHyAlsW3RO62Wv5kM3LW5Gz e6qdshKie0wf2OCbKlLuKZuWfR47RPzNXstTd0+1XL8vGEL3LN+l+9cJ3ZNBs9fyAO5x3otN xqzfcTRDyN099Y/vsbaLHrong2av5bm6p5O23S139yiE+txCU1pO+XSXd/7waXnieexqSZQ3 N5usuK6NVmmWesHVOmYh6B4hBN1T1hZ/Q7nFUZvjq8qe0D3LuC927aPonhRI2z0eVLE8bGkn zaN7tMtQctjtzTNrjO6JiFTcU9Y3Ij8jt3w1J9JsSxTucX5lJMPifOmeFEjIPcvfzW5cslg2 G+x50Y3ZulzocNDjsBsPlyU2dbqnnb5/fSJ295SzS36ymaexHw91Pkl+aQwycr8rsT5auscj Fp8glpJ7Kj/M/K2N4awmt3/bjNl47mlofpaZJ1Hbflyge1podE/n5/fEz3hbark5z3++ZxD8 CXp/ft3bT4y07NdD2MON6tjbngchJC1S2JXpHkLyI4Vdme4hJD9S2JXpHkLyI5FdWX/SihCS HNybCSEhoHsIISGYOZUScByEkPmCwiGEhIDuIYSEgO4hhISA7iGEhIDuIYSEQOseiokQIk5R LP+XEEKGhe4hhISA7iGEhIDuIYSEgO4hhISA7iGEhIDuIYSEgO4hhISA7iGEhIDuIYSEgO4h hISA7iGEhKDJPfQRIUQcRSz0DCEkBHQPISQEdA8JBP/S45zD9U8CwT91PedwnZNA0D1zDv/G OXFmug0pG1MxoX5jaeyeokLjTBuH0fYoEg9cM8SZRvc0fq3owbxZ329yL4kNriLiTKd7Gm/s 1IO+ge5JHa4i4kybe+ovfAZzj0k/CQvXD3HG4jVX2dM9eo2Z30LigSuHONN4Fsf9fI9+gqKJ Xg0kLFw5xI3qfl/9r3KXMn3Z87jH5N76fA3PaJMgcM0QZzzt347ne0jkcHURZ/zt9JrTx3RP 6nB1EQn8vbppe/VE96QOVxchJAR0DyEkBHQPISQEdA8hJAR0DyEkBHQPISQEdA8hJAR0DyEk BHQPISQEdA8hJAR0DyEkBHQPISQEdA8hJAR0DyEkBCm7p/7RCvpPzHNvdv9APM2YG7+VKve0 QNyby/Yl4KlZ6lMN9SsuoQXi2Ny4PE2ak3WP4e5rsTj1D5da8209LnpoK/G3QBybNQ/01+xS aF4iaIj6jbEtapPl3LQrWcwqBkK5x66zs9n9hzHdY9js2KlvEDmoSs49ds10T59ml1p9c/1g 1Ue5XX+W7nGp1TzcfT12NruU+2tufCzdI9fcNplI8/gW3wdVss3Vcovmts7Ombo095rA4rGO 67Htse6HU5pRuTc39tM9cs1tk4k0e3WPXWevZusF4sM9hgvTRcY+3GO4QPw1yx4L0j0pNE9v 9O2eqBZI2f6UY27WlJvca9cc7QKx3jySdU+pPVB0PIYM0jydwK5ZXx7tAil9vhDw16wpN7nX rjnaBWK3eaTsHkJIutA9hJAQ0D2EkBDk5R7HV/BBmr2Wp9jstZzNg5V3NtM9oZu9lqfY7LWc zYOV0z3RN3stT7HZazmbByune6Jv9lqeYrPXcjYPVk73hJg4npGkOHE8I8l+4rAjoXs8TBzP SFKcOJ6RZD9x2JHQPR4mjmckKU4cz0iynzjsSGJyT/3ya80F2W0NvWbnaeJ4RpLixPGMJPuJ w44kqHuqalGU03iLSWGvuXuaOJ6RpDhxPCPJfuKwI4npuGeK3j3FHDFXT3aZUvn/HJHVU+7a zT35w4VikOOeXiwsLHhqbitf3Ay9NIvgo3np+U6euY+VGfMCaVvjw297IqTjnrou6R66R5yY FwjdE4j6SOkeukecmBcI3RMOZbB0D90jTswLhO4JR+PLLpOTVtUGT2OjewZopnvonmShe0ya RaB7xJvpnpShe0yaRaB7xJvpnpShe0yaRaB7xJvpnpShe0yaRaB7xJvpnpShe0yaRRBvXn6y lWcuvj5jXiB0T8rQPSbNItA94s10T8rQPSbNItA94s10T8rQPSbNItA94s10T8rQPSbNItA9 4s10T8rQPSbNItA94s10T8rQPSbNIvhyz/h/dI9oswa6x5a+H1dkDd3ju7nqnlG5n0t8Yl4g dE/K0D0mzSLINs+84Kq4p5TeQmNeIHRPymTmntJ5/cS8q1WhezSrm+5JAbrHpFkEuke2me5J HLrHpFkEuke2me5JHLrHpFkEuke2me5JHLrHpFkEuke2me5JHLrHpFmEwdxTim6k0S4Quidx 6B6TZhEEm2eeI90j3ayH7hGC7jFpFoHukW2mexKH7jFpFoHukW2mexKH7jFpFoHukW2mexKH 7jFpFoHukW2meyJA+XOk8/y3Acs5cI/6BJvc0zCZLdEuELpnWBrVUv2jpPUbOwsFh1eF7vHU TPeMoXvCUf8oDLqnpHvaJrMl2gUyfYL1Z0r3eKZ+uNPmnvpn9lRZyAU84+l/M0Z5guVkDZaz q3J+lkNOz7Rrl5eWiD3K4Q6Pe8rcj3sanl3LcU/zxP2JdoHwuCcodM8UzZbo2CwF3SPbTPeE pnrqme4p6R79xP2JdoHQPRHA99jLuXXP5Pulcg/6iXaB0D2Jk597SrdVFO2uVrYf9JR0j2iz HrpHCLqns1kKuke2me5JHLqns1kKukewWb+66Z4UoHs6m6WQ+jHfeGube1ofaEycC4TuSR+6 p7NZCrpHsJnuSR+6p7NZCrpHsJnuSR+6p7NZCqldrfEOjXt0Dzcg/gVC96QJ3dPZLAXdI9hM 96QP3dPZLEVA92jv6SD+BUL3pAnd09kshXVzp3hKukeuuRO6Rwi6p7NZiiHc0z413SMF3WNL /fN7PM2I7hFp1j0Xuqf2tXtzJ3SPEFm6p/6tS7MUYd3TUdVObAukNFjXdE8K0D2dzVLQPVLN dE8W5OGe+pPIwz0dz6Kne7oLm4hqgYzpXN1z6x5MUP3nNJV36B59syB0j1Qz3WN4r9ll7qH0 Q/fomwXp29z9FPq7x6h2lngWyBS6x/Beusd/eX7uMRq/lXtMy+vN0tA9CiKvuQwmlnpP2JFc 3dN2Y99mQYTdMzvFTLnooU8kC2SKybqeK/coZ29aTuaYTTUodI++WRDz5r4HPWq56KFPDAuk Ct2TC3SPvlkQukekme7JBbpH3yyIYbPpsN3cYz6j4AtEge6p38jXXLPQPRbNPcbs7B7DCeke hQjd0zbBrHsMphoUukffLAjd497cNmC6p3ECusd/ueEmadEsSGdzv9FKuMdkWrpHge5ZepT6 u+jz+XdJM3CPi3gayuX0Q/cozKt7qmqp//X1uf177Km7p/c4Rd2jnzwJ9yh30T21b/295tK7 p/6ZPVUWEgdP1OKueLAYZNm11jonEBnG8KS+rjvp2s2bb6y+X9Xy9pXZVDbM83GP/hn0fX7+ ht3YbLn4pY97NI8YeIFoMF/Rg217sqR2fU/17A7dUydD9zQ9pqFcSD90jwLdMwuPe9qI2T1S Bz2N5Xbt9QfRPQrRuqcwumrQbKoeI6V7NPR6ioPtavYL3qd76o+LxD291vJcuUcvkMldZlP1 gO+xl2m6x2mpe3ZPOdR+TPcouL/PpWk2mqp7GkHmwT2G09SbZZk2uy5y/+6pPpruUYjNPclC 92iaZRk3+xBP2TZsCf3E4J6+q3iu3NN43qb2IspsqkFJ3T3mwzec0ueWJbGiB3RP6XnjpHsU 0ry20Bq6p61ZlqIQah7WPeNmT9uI4QKxWMV0T+1buke8PH73TA8d0nVP6ecAiO5RoHuEiM09 hhPLDlv4hUD7E2gtd16/Ym/PaZvbsFu/c+ueslUyZlMNyly5x2R6qWHXDxQycE8pegBk9+tL JtPTPbWv6R7xcovh6x8iMuzGWeThHqHW1maXWcytexrfvmp5n0s71aDQPW3NdmjWpusC0Y5b V+62itua3bdbzZjtmufTPckyh+4ptcq3HnbnvpiZe6bd1vUaq9lB9yTFfLpnSv3hFr/gaLj/ OS2Qrhl0lDssJsMzwhYSavzlWpcVOufuKYqGf5ZTeaH+2WGeZjTA+hcZu7Lwe13w1msAGbun Oh/zxaK8gya1Nss5c49+mU/uMptqUOieMZ0/BNx/VsyDe6oz7LVIpZhP95g0G03VPY0gdE+9 2dNRqf0CMZh9bO6pz7/+z8cWMp/usXZSUNJwT22QXt0jX+rY7O4esxLLZlsGdY/cthKhe4yn j8pHybhndpx0T+/yeXaP6Ou6mN2jTFD5NsgZHT10j0J0u5rZkzQqt1pe0S0QLXRPy12Nr3rF T7f1gu5RiG5Xo3v6QPd0Th8NdI9CXLua8TM0Le+/yOJaIAY0nMXO3T3V45fghzPGpOseTwOP a1eje/ozb+5JFrpHIaJdrc8z7FHec8FFtEDMoHsSge5RiGhXo3usoHsSge5RiGhX8+Qer819 oHsUxN1jduIn1Okhukchll3N99GJ+Jmk/tA9CjzuEUL+uuZBrpSKYlcb4Ixw1u5Rn1zW7ml7 cj5F1fjr6Bn+XdLpCGfd44kodrVh3o0SvHLICp87cdM3QhtNhO4xnt5lEdRNo9zb+LW+0H40 Wugey2ar50b3VJlb9ygTeH6l0Oabxj/S3shC3JSTEZaVoY5f0+dHOezqGHh2g1HdPBq3n2jp 2tk7buxyT9s/axoPg3jcY4fYsO2abZ+Y5bANZhd4gVjB4x7N9NKMR033uBNyV3N4VvbD7pop 3aMQoXuqxy8ihzN9mCv3NLyJKkewZrcV4TRs7awTXdTLzyl394Sgbhq6x50wzc5rge5RmufH PSZPy8NnptbfUZ+H99jpnn7lJrQPINFFPVfu0bzCmtxlNtWg0D0KAZolVoHAsFuGkeiinh/3 VO81eAdL9n0uF1Jyz+TrrNwT1Q7RNJhEF/Ucuic16B6FQZvlFr6XpS3bXGMI92jegHYoF+mp k9T5HneSc8/4u0R3iJnvRZe85LBnD8MTXdRz5R6e75mF7tE1Sy924WGn755y/CTmwD3Ve3m+ ZxG6p7XZwzKXH/ZkkOku6nlzT2rQPQrem/0scC/DXhxquoua7okbukfBb3P8S1vB5yH50Jqn e+IiMfeUCf8w9rrlpKhMukeB7hHCh3umR9GJuWfx6MGj1dJ8qTjAmGdGTfcEpv75PZ5mRPcs 4f+krddyf6fI6R6F3N2jQPcopPhmtddy9dKACK+HbGume6ImPfcs/i8N98wu2xzcMyb6nXh6 joruiZjY3TM7vGTc03R8kI97SpkDoKHd0/C9bbkf6B4h5tc9LYs0K/eMcdt4hnlvTvzQh+4R IiH3+Dh+rmM/7K4L1DN0T+l0ADTM5Qx0T6zQPQo2wzbb//J0zxgrA9E9CnSPEHPhnj77XM7u GdNzpfi7FrvaTPfESqLuCX+xbf+f9Pm7p+x+4Wnf3GcMdE8KJOye0su66B627RmOuXDPFIOl NMzvv9I9sZKKe5RhhnGP2xvL8+WeMdrDoGEuIad7YiVt99TvcKb5Urq4L2fxWi55wZPXiy3b LyFfvofuiYjk3VN6u9BfSDkNzR6I3T1TKot0sEvI6Z4oycE9jVPYzavw+DmSdM8ygsu5qYTu GQRlvLn9bUBz95RWRyq1nSCxndh/+QC/8WmpIuMzSXSPBI1/iLTza32h4PCqBHBP9VGG/zwN uwm6x6jZYd21NdM9fjD0kIaFiCkXh1cs/kEuQqwZb0Jl3Fv7QpfVEnSP4cNl6VyQRiwOrz5G mfImUmz2Wp5H89ImxOMeSZzd43h42wrdM1iz1/I8mgVfdlkPu3MXS8c9xdJ+OcRxj4WNBLas lpM9MuUtpNjstTyP5oHdY/cDPB33lJMTOdVvG7/WN9jOumOh0j2DNXstz6N5APc4vk4oE3NP Gcd77I1LXco9jQPMY4dIojyPZn/ucfTNbFVa7nFE/FzzdD3QPYM1ey3Po9mHe6SUM4XukamV WE50TwTl2TRLvdW1sPiOvY/9hu4RQmAV0T0RlGfTLOIeT9aZlNM9IlQPTS2heyIoz6bZ0T2S JxNaZ0H3iFBdRZYzoXsiKM+m2do98m+itM6I7hGh/nZAb+ieCMqzabZzz5DXd9A9QujeazCk /VqBbHaI+Mtzah5tTn22woF/7tE9Quh+9hhC90RQnlNzL/cMv+3RPULo1r8hdE8E5Tk10z0x EeT32E3nSfdEUJ5Ts7l7NFPRPUKE+gwNo9nSPRGU59RseLpZfz/dY0v9s8M8zcjVPdqh5bRD RF6eWXPnoU/nlkn3CBHws8M65kz3xFGeWTPdEw9F0yeNuPybYLKKdMuS7omjPLNmvXtMdm61 XG7fmTP3yB/3tNuocVrdyOieCMoza3Zyj/aHrTt0jxDL61+7llrnT/fEUZ5Zs417ZjdgvuYS YtDzPU0GonsiL8+sWeOehpubtli6R4gA55pr67P1h41FuTMpNnstz6zZ1D3tR+p0jxDB3ueq zJfuibk8v+ZG/ajisS13ge4RonsVTX60NB7r6seV3w4RbXl+zR3u6doj6B4hwv9twEbN0D3R lOfXXHePuXg6y12ge4Qwd09ZX6h0TzTl+TW3usdsX6B7hAjvnrLJNOGOe1Ns9lqeX7Pinl7i 6Sx3ge4Rot8qUvRD90RTnmez4p4+ewHdI0Qs7ilnFyzdE015ns19Nrbe5bYk7p4gf5e0EZtV NB6MwfDz3CGiLM+yeXqs0/egx6TcmpTdM+TfY+/ExT1eys1IsdlrebbNxhubTbkVObqn/pk9 0ZLSWEnKTH9LKyq6dnBf6nCm6H/cQwhJhYj3abqHkIyJeJ+mewjJmIj3abqHkIyJe582PGlF CEkO7taEkBDQPYSQEPAFDSEkBDQPISQEdA8hJAR0DyEkBHQPISQEdA8hJASD/2or6WRFcVhx YrHK+vErizWKvut4TWRL6znWCb2NpTz//wcAAP//AwCY2LyQEE0IAA==</item> <item item-id="41">iVBORw0KGgoAAAANSUhEUgAAAX4AAAHTCAYAAAAgWHPMAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA PhFJREFUeF7tnQt24zquRe+b/4Rqdv1ix3JkmZ8DEBT02XetdFeVSYI4ALcgWHb+738///3H fyiAAiiAAvdR4AF+/kMBFEABFLiPAv/dx1U8RQEUQAEUeHZ5kAEFUAAFUOBeCgD+e8Ubb1EA BVDgp+L/D/aTByiAAihwJwWg/p2ija8ogAIoQI+fHEABFECB+ylwuYr/50Hcx+cSnj/8hwIo gAIo8K3Apei4hT3wJ+VRAAVQAPCTAyiAAihwewWo+G+fAgiAAihwNwUA/90ijr8ogAK3V+BW 4F+/8XvdPz+/dI8fNCAHTDnwODfLz3nPj3pFuxX4FVGy3hD+9++fsr3mmOVBJusDTRG2PZu/ m92HRnfz+Sz+es9OKe+zfLaw61LgfwRh9HFOi3ge2NXmRCTLR/Ia6B9h26PF3ewCfk+W+OaY cut5Z/Cys/6zz3Taxd3CrsuB3xmr9zSLeKO21vNNiVowvOW8gftpiTrqs1f/LLuA3xsx+zxL jEfODhW/PTaHnHFG8D8Td5O9gL+eXhYoRCdplm3s1iP5dVYGq/4srS3souLf5INFvEgoeJOl BP3flpe+O69t3UJ55N3sUvGPZow+X86tEuRfh8dyhiLv3nUvP0da2GXAg3c755pnES/SMzlR V0bXfcntXmoXhCPdmnp8jtA8yy7gj4ietoYc41p1PwB/2bbmijzKwi7Af+KKvwV3wE+r5whV aBYEZbsd8FvvnjMv7oBfvkZ+D7SIN2Dma6qcqK82TqvafyereK9qsZ3l8xXsZkKBGFcyqNXP X50f8Sg9jWRpbWEXFf/JKv7SG1E1KKrJmpWod7ObCYW7aS37K4LfUvnLtiOrmWdBqONcHxm8 yaMuZxEv0odesjxiWoxrI9hqHvRsR/p55/YD4J+VSd/rSjmtPL1TeFqud64k2xOksLAL8B+8 4q8CXyhB1D5/VqLezS7gn0C7ypJSbjnAv5hrnUvJ9gQpAP+AqBbxBsx8TV0ny5JUvcqi98wm 4C9HKOtgAv7IE9NeS4qxAv5OgVU6q5LtCVJY2EXFn1jxr5NGhv265OgkD+AH/IsCWTA6tN0A 8K8zrHaeuwVc0EUA8A8I2Qpe9GtD/W4hmwA/4Af8DRgEg7+ldTQ7yuvpdbw+cgCmZ5pquWpG +mWqjATov+9QhbEm24FO380urZ7A5OksJeWWCv5Ou2e7Fcn2BCks7Lo1+GvfWz8hJt0l5WQR QP7RDRLGy7a7XtgG3M0u4Lflx8hoKbcA/4jE15pruWpGei4lqrHyUKt+2Xakwz9r3c0u4A9O oMZy3dx6FURCXfRnRRzctT1JBgu7bl3xl/S3iBcZPylZxMRb70vp80u2I519rXU3u4B/QhJV luzmlqXa/zpQbT+6tifJYGEX4N8EwSJeZPy6yeKAPhV/OUJdrSMDu1kryzZ2vw5672noehZ0 zmKW1hZ2Af4zgN8JfcAP+BcFsmB0WLveil9ot2b5DPgHKjaLeANmvqZWk2UA+oAf8AP+yikd AX8H/oA/kow7rXUo8A9C/yM/G2tlJerd7NLj3+kQ/5hp5pbnjd3S1itnKiuvLeyi1XPUVk8A 9AE/FT8VfyEHosC/HLDNWQX8+13gwyxZrpphRrcVShD0AT/gB/yTwb8sv3yUtne3EQmNgaKV in9AvMgYPquEVfJErf2+htDqeUuaVZHR6onK6v46u7R6au2fwMKt7+nfCEvRCviPAP4JwF8X Is8/A37Ab6FI0Nisi2wa+JeKf+KZroUG8A8krUW8ATO/U3e4PaTi/45SFoyo+IdPjLyA8pTc rML8w/aOFwALu05d8ZccXX//jpwlq4EW8czrL0lQSIZZMAL8gJ8LzscBf/9lF/Cvb70nXwQs 7Dot+BfAr4/11nGLEH/xCZSkAfotjqaDv9HumWW7d2G8m10A3MuIuNcPU/GXXDJwwaKIhXeB lLNscWzs4mAP9BYhhsC/DaTjyj4Lgh9VzcGeO57lcy+7suwC/l5k4l4/NPi3btb4YbwlsfDu lOCvQbp3IZDSqhWEAMDX9jATRr12z0zbLc3vZhfwSycwZNCpwN/yWOXRzxqA/yWkRYihij8g VWdCEPB/Bmim1r1UyLKN3TcUnn8wFtO9sH68nqW1hXe3qvhrv3hl+++PwF3p55Hky+cEruQX vlwrT/eI54P4DzvLmdjD5p421CvUKcBfe1Kn19qxXAFvUfFXSh21QlHvOtX3rlS7ajKr47Ls 0ur5jFB0Pq1XL8Z4VeZT8aun5YDjTvc4Z0PDmTDqvcHbsr0+nN4UqF0IZvp8xPcW7gz+EuRH 88kcY8D/luwUFb83QTzzPHcJHjvbOTMh6AX/rKooEgIe7Wdq3dtPlu297ap3fT29Wq+3Hp6j 4m8rC/g3+gD+KV8ZVMzC9eGMuLNQIbI3BLstCHXjA+P28nkL4z3slgoUwA/4Tcfl7uCfVeWX glCDwuyLwB4wqiVdlu2Zdlvxmml3rfE2bwE/4Af86/u6AtmXQ7In9NV+d+t23hTY1eC9YGS5 2Hl9UedF+6xenKPt9lo/y+tfdjfJPTPX9/T58+KnN3D0kWqGnXzc5Sv+R3w2WX9k8C/pFHkB yDqY6sVuxhGK8tkahyi7qiZLagN+Kn41Z57j7gr+mRVQZNvDCp4jVd1nBb9a3R9F68d+AT/g B/zb+7odb3tb4o9UgyMXgBG7pmQqDM6y7bU7WhB47Y7oDPj76tHq2Wh0x4p/9HD306w8IgIK ngtAhN1Mnz22rT57dD1KxV/oZn61N2fmvFVrTzxLcyzsAvyAf+r3lsyq+LfrWtoRWQfzDK2e KOAv8cnS+gvsO97l5vms41wfGXVZOvg6lqtmpCszk6VY3bz+sXhbHOlYY61ZPvequVl2Fdmy bCt2e7op/m3HKHY96/bmPOx++AP4PyQD/Hes+Ff3wlcE/+JeDWRZMDpqxR9d5a+PVJbWH+Av JMKMi1z+XY6Oc31k7xJ7kdevWPG3ep5XBf+SjqUDngWjI4J/JgCz/X37tmO1n+mzhV2A/wYV fw38y3nIAuFedrdw28tuqRbKsr21O7PKP0rF/857wP+VircGf+37+TNuXmYDofRm113Av73w zda6lT9Zttd2Z1f5gP9fBkJMn0G6NfhL0bHcLkVGdzYQ7g7+dd9/ttZHBv+e0M9seywxfvpL xU/F34P1bcC/Og9ZIMyyuzf8jlIBZ/idFeMP8H+1c3sUGHs9y2cLu6j4b9rjX1dCWYmaaTcD glkV8F79/CO+p1GK8+zYZ+U14B+4YFvEGzDzNXV2smyT/e7gL77hHRnQylqz47w1e6f3cYp3 Vj8CFHN/Yqz3jvHiioVdUsW/VAyl/6/q55o0MRri0hbxxCWlYbOTBfD/hSHrjc69K/51zGfn Vy3J0+0C/mJoquBfc7tFro/bSNckiYu7DQL8u0n9/Q2KO5kuPdq4k+ndfD7KI6yAf6/Msn2z cBP8li2X3j3vzp/dbOtu4HsA4HeI5pySDoXVvvdKxT18LvX097BbSoNUu6+g0uopcM55Zi87 7Vbgf0Tx51SkHs6ETKr5uwf8Z2td82G23UO2egB/vROvnDtXu941SdnN3DGAf66+69WPCKPZ 8J/pc2vvM+22MibV7kqQtTZnjnG77S69Zftcgh7/Rsk7gP8j8an4v87STDDMAmFvz7Ps9sqE VLuA317x9xJpu+LePf711y2s91L7916CLq8DflWp8XGpUOhs35r/qhozfFb2OsOu4nOqXcBv B78S1KwxWzgvf6/9u2WfgN+i1tjYVChcBPwK9B+uHlnrsSwqz376C/jt4N+26J99oZ/G0Ppn RsA8awL+vmrVHietnvrh0Fum/QC8RkQDGPADfk+3Qn6cs5RgatLJp8I5EPD3hWu+uZUUyGgI 9lX4HWGxGy2NxXbPH8veIu329rV+Pctu64vZLLpZfF3GZvls6VbEgr/1JM+kW4W1s7R66mkK +P+0sR7MSFBYbdciat1TlF0rCLPsAv52pOaA35odzvE90Jder30H//rfH8l6tZ8HKBaf1n9e eqFX8zfSn61ekWt71zrinry+zJi3fD6llPNX1k5FqQz+0oLVqsNajnR2W3pSp3Rb07sQKKJY bpeU9dQxsysjKn5/xf+YGZXSEXH27CXCrprLtHpO/ItYls5M1K2mJ2nqth/fuPf5s4zlcc6y aoB/DPxR8I8AMOAXaLIRqZn/wnKWIRExtthbs0+dN+G5BdX0McddteJfg+sLHL2r/KRQZR0Q r10PcLfSeW3/HW5fMEbt+qza3kj32viaV8nnvdI8S2sLu4bA73q/1jUpLCW6C1nE6y5mGLBH stQSf+nzG7YbMnQPn0sbHbE7Cv8R2yN3HaN2vQFPsfsTpJJdwP8XxSHwe5PhyPMA/37RSYHC j3ujdkfgP2I7y+5IRoz467YL+LvSAf6NRIC/mzNhA1KgcFLwj0D/EbCzau1KNsDflQ3wA/5f KIySpZtq3wPOCqMRqbw+j9gE/L+5R6tHaPWsW/FL0pX+zXHeDz2Fin+/8HghOLrDCLteEHts e22tdfLYHdU57YJDxd8Nnfwcfyn5IhKyu8OdB9wW/EtJtKPeZ4aRN/c9PnttAf7PZKbiFyv+ tWwS+Le3BLW/7wgXqynAb1XMP94DQb+1v5lRdj1Attr22ChpZLUboXNKxf8SjKd62hGMrfj3 uqRGZWVhHcA/UdzN0meHkQfKVp89NgB/+c3svfBkjXHUibOwSwZ/aXPVpIzK1ihFDOtYxDMs 2x26R7LUEv9te+e47eHzbAhaJbP4bF27lWQWu91kNQzY3S4VvxSd7q9erK0SmZTSTncadHXw N0G4c1B3h8LL+Ui7Vskstq1rA/4fBRrgf+gTqWlNb0uMI7FmYddQxb/e9FNQq6rW8ZEqVday iBe5naxkefiQWvG33heKFHi1VqTW1hRWbVvX7Uml2u2tU3y9EcOpdkub6YDf5Z9x0u4+v/Zn YVe34u8l4Ef7YJ0ALbH2arYZA/ZbEeR8tCErWXYH/xYSSp5Y5ggxj9bakjKqbcuagstxH+Aq Qd4SQ2WzI2MAv6SeRDlXUeaaJO05bFDtu/nDDBgWUoFgWFIeukvFX7jYu30eLBzcdqt3ibLU MoAPBX61oCvI8KX1YOy6SgP+rkTPAlcadaNBt674f2954qNdWXMYwE4gDdvdKGSRTLVtWVMJ mGr3vZZT2+1eqnZnXABWopn9VUQUx2TZtrBrwikX1TnoMIt4kS5kJcvDhw/bUcQRwBHqswEk oXZfSaDKpthW17Lkn2L3uZ5BR8V+126ks4BfCclvmGsja+e2eZ5dk+S97jIQ8AfUAuJh7kLB E3EBXDPsii5LrR51LYs8XZ8F3Sz2lrFdu5F3mYBfDpHpqZ5tQn4laClju5Pkve4yEPCfHPxL ljToKcHIkW0KsHu2lTUcW2tfcGYZ3d5NtjYesQfAL6cG4N9IBfgHwW84wD0Iylncu23dvD7L ruJ6z7ayhkeXot1JVf56fz1/P3wZdR7wy6khg18p5r/eGJQmyXvdZSDgHwC/8eCaoDAS/c2+ ZtlV3O/ZVtbwSFF8usazkHFOz9+v5UYEAPxydAA/FX/Mm7uOA2uGgpzWhYGr6nam3Z4MLdu9 uSPuv+3uUOW7K36hTdfUAPDLKQL4Af89wL+Cym3BP/PKUkGOS2vvPgF/DPiX4qD0/mwxNusJ 8iR5r7sMpNXjbPU4DqsLChFZMLHq7cmQUvFP9LcXDneMe0JuDe/Uzuv5+3jd7bOyeGOMhV3O Uz64wwNPt4gX6UZWshQTdfDQqbpk+fzR9lA3K47rSbc7+F8bStda1O89rCck4P9S1MIuudXT i9szToPB6tnY43WLeJH7yTqYtwb/w3lrzgpBby1Zi/OEbXz4lpVfQ3YtolDxm75nzPwBrtKF 9q15rTfUnCScpMKQ9ffsrF+u/btqBfAbYWg5nJsgDEFBDWhh3OwnXA4B/oOAcCjGltw6iL/F QmogVy1TLeySWj3b1r3Ed9ckzc2tg8vfa/+urfo7yiKeZd3e2KED0lu88/oQCC2H86jgD678 08Ff2EBWfg3ZteQW4DexSwL/IFemTwf8YxK7wW85mErlPeaGPLsKo0F/lg2kgr9ifAjAsrLf A4ftqjEB/PcB/9LW+Ttwn9cxT/XumTNwLt5Thw/IwCYA/0o8FTQNvdPA3zCclV/DdtV4AP4Y 8G87NcvdcLPN45o0QKzXVCr+MQ0Bfyz4W52jEghVtjWj3FlkGMDOFBu2q4oD+OPAv451Sf+v f9v+gzTJmVEfZ/W30u/1+Gu/eGX7749kvfPP40mXnv/KmN4aR309wrdH6qv+WcbW1ozYs7rf vccpvilj9t53hj2VpvLjnBLDJ4F/+6QOb+6q4dXGFauyXqXVe10wPVwNCjZKQyS7g/7Vpk+p +IW9Sj479WxNC7Er+Ld9LDfErlOPLNuWNvUpwF/Sn8c5nVlZmAb4K1oqwDFODQe/uMcsGIXY 7flYeD3ErvOIZdm+BfidMelOs4jXXcwwICtZHlsE/I1A9aBjnLrVemB504fPsvIrxG5PJMBf bHW38HPait/AVNNQwP+Sq3XYegdRVDwECqKt9TCzXae/pWlh4DfuyeyzQ1d3W61nq+cr4I8F /0PP3s9HzHqDl9d7gU58HfAD/q/064HH0O4B/M7DbSxEsi501Ttop9uWaRZ2XeIDXBZxemMt 4vXWsrx+uEQ1HjSLr8vYLJ9ddh3wn1bxO/bi8tkT1M2cMLvGfAyz69Agy7aFXYB/E1iLeI6c qE7JSpZqhWI8aB4tsnx22zUCdwr4jXs45UW2lEzGfHTH2JPIsy52xr1Y2CV9SVurg0Orxxid yvDDJarxoHlUyPLZbdcIXcAf+N30xnx0x9iTyFcC/9b/re7SGXBNClB+YAnLVXPAzNfUwyWq 8aB5tMjyeciulPi/aoSD32B7G48hnz3Bfc0Js2vMxzC7Dt+zbFvYJbV6apo389A1yaFy8BSL eJGms5LF3OoZgM8lYGT0fzt8HWfjUqbHNy+hda/6XF4vCHm48xQJi8paFnYB/o2IFvEiY3m4 RN3hwp3l87BdA7HDwG+wWcrLYZ+dyR5q15CToXaNvmfZtrBLAv9y27rt9Xf1KL050J2UO8Ai XuROs5KFit8ZRRHEIeAXbbU8ycqvULuAv5msFnbJ4Hcej9NNs4gX6VzoATFurGjbcMiM5t7D s3wOsSvCGPD/86bH9zxDTobE2LnzLNsWdgF+Wj3lr2xYbvPUPqvjkGQdkDC7AvyHwS/YUKQP 81kxthoTarekRUWfULuZPhtsA36DWN9cy7kWHjJRDQfNI3mWz2F2BSgD/skVP+B/Hz3AL1Ko 9v384vTQYWEwcuyqant7qATQWcxn+RxmV9BjCPzC+qreYT6rBl/jwu2KORlu1+B3lm3AbwgS FX/jQzbiIfPKnXVAQu124Az4Ayv+UvuRip+K3wug9TzLVTPC3rJGKIyMG6PiNwr2mTDNyTXw S8W8NEjbe1Z+hdsVi5Fwu5rMz1FZti3symloG0Tce6hFvMi9ZSVLM1HFQ+bVIcvncLuGqn+x LTFdGqSpH+6zZjYegmJOZvkL+MXEONowwL+KiHjIvDHMOpzhdmeAPxD6mTCarjWtHlo9XgDR 6qn0YQG/llKAv6oT4NdSKGKUpWil1bNR3CJeRLDo8UeqqK0VDqOH2Qb81y9JrZ7gap+KX8uL qFFT8kvYnIVdgB/w6x/gCgZS1gGZYhfwF9EUrrV4FxpuVwBvdhEH+A1B2g61iDdg5mvqIRNV PGReHbJ8nmIX8AP+lwJT8ks4ZBZ2UfFT8VPxC4dKGlKBv6nVE3xXlV2FhkNQLEbC7UoJ8Dso yzbgNwSJip8PcA2ky+dUwL/PnexaZ57qeWsO+AdOskW8ATP7HBBxg3yASxSqNwzw75PXgL+Y iRZ2nb7Vs3V2/f07vXNaet0inmf92pys28PmralwwEY0yPJ5qt0C/Gn1jGRJYa6Ql1Nj3HEn y7aFXacG/wL5JQ6li4A15SziWddujc9KFsAfGcWftTpV/yPO1Tb+pP5+Zt95Sl4D/vtW/Aug 16AG/D6ISa2eCVCaAgVBgql2Af9HBKZoDfgBP+AXSDdya7ocMsCvCQ34Af/PXV3Gf5ZuxSlb PTXY9yr+2vfvb//9UaXw86vBoy+x/n906efGotlaq8f1YPn7+s/Lv5XmoHVZ67VW6PapkXrB OS34t7B+ONwDvyKK5aqprKeOmXJLLBpv2qbiF1VcDWu8wVvt8U+4o1pvPCu/ptil1XOPVk/r SR1aPXYubWcA/nENP1YA/G85poK/cbGcYldMkyzblqL1lBX/Wn8e5xSzsTEM8I9rCPjLGk6B oHAXOsWumCZZtm8FfjEW8jCLePKiwsCsZHlsDfALAbIO2VSjy1+LrZ7JbZ5ujK2+GcZPyWvA f49WjyHPhocC/o2EwiHzij4FCsJmdrEL+J+RmKK1kJNT7Aq5Nc1nwbaFXadv9Qh6mIZYxDMt 3Bl82EQVDplXhyyfd7EL+AG/92A451nYBfi/CtwcSXaBUSWhaPU4T1prGuAH/BPSqp1yOrv0 kTs7kWXOctWM3CPgj1SzvdYuWgN+wL9fSj8tWdgF+Kn4eXN31gFdwZ83dwNFFtqPu1zcPXfQ gTJslwL8A+JaxBsw8zX1sIkqHDKvDlk+72ZXAf8OT/Q84rObz5tkmGJXyMkpdsVEz7JtYRcV PxU/Fb94oM3DAP+cCw7gL6Yi4Def0L8JFvEGzFDxX60KLSUD4Af8kZDorGVhFxU/FT8V/6zD CfgB/6zcKqwL+AfEtog3YIaKn4r/Nwfo8duPEa0eWj32rGnPAPxft0DT4JT1Jthudqn451T8 ywWTL2n7OKwWdt261VP7fv7oi4my3m4wKmym+wGuSVVpls+72n1pV3ycc5KupXzb1efVBqbZ fWgH+AG/AldljOWqqaynjpl2QIQNAH5BJO+QDfg/WAX4var+Qh/wA35/Bn3OBPy0eqJyadvD /2IV4PdLDfi/tLOw69atnlLWWcTzZ+33TCr+SDXba+2q9abPT8UfFGfAD/iDUulVoOVcC3eF 0UYwWj2RGVS4Y3r9ExV/oM6AH/AHppPpi44i7QL+SDWp+LcKZOXXNLuAH/BHIoNWDz3+yHxa vwFJxR+oLOAH/IHpRMW/FbNzwEa0n1YNdja1q116/CMpUp8L+AF/ZGZR8VPxR+bT642j9/+9 rwM7PtHzML7rxW4l4DS7gB/wRx5UwA/4I/MJ8P8Ll/P7KvptYtoFR/Amy7aFXTmPsAjiZQ2x iBe5x6xk6VaDtHrGw7z6EBcV/7icgL+soYVdgP+rwM2RBPAHAUFYZnetAb8QFeMQWj33bPVs v2dnUWH978ZUehUSgP9DNyp+Txp9zgH84xpuVwD89wX/dy58Qtty67O+cMRnaX/F3avQ1Zb4 AFc/PkMjAP+QfMXJgP9+4K8BffvvgF87b4Bf08k9CvC7patOBPz3BH+ppQP4fecL8Pt0k2cB flkqeSDgvx/4ay0ewC8fm4+BgN+nmzwL8MtSyQMBP+BfgN8Df+0Xr/Dv/z0/sVz9xTSN19Cu rd23Po+vkf/9Lnm0G9MADb/1Uy+cOY+wqLt7jdu2dWqA74FfMet5X2BZN2vuw36WbewqWfU3 Br10vc6o1VnO4inAX0qV2mObmY9zZiXqWZKt1qLTUXBugBInW6SzztOI3bPE+LTgt6WQPnok 6Flzz5JsgJ87M/0knlOrs5xFwL/JxCx4j9g9S7IB/nPCbCQ37zb3LGcR8AN+3h8wlKEjIDsL FO5+gb5DjAF/IPgN/PgaOppsZ7Sd5XOW3VHwE2NdAWLc1grwA/6hil8/it8jsw5nll3AP5It trnEGPCbMiYrYbLsAiNTegwPzoozdodDJy9wBq2p+Kn4qfjlIz0+8AxQGPfyb4W7+XuWQgrw R2Y5a6EACqDACRQA/CcIEltEARRAgUgFAH+kmqyFAiiAAidQ4LbgV77aQRljjbGypjJmht1l zei+rOKPMmaGzzPsKn3eq9lVfJ6ZX63cuJLWii/SGOthusL4LdhKoFPGWLVQ1lTGzLC7PpSR 4Ff8UcbM8HmG3QWALQ2vZlfxeWZ+3UVrJW+UMc94WQ/UFcYr4ihjrFp41oyAsGp3GRdhs1bd KRdZq66l8YrPyhjrXhQNs+xufYmKs+Lz+o5gT7tRttbaKf7OiLESP9Uu4H9c/V6/KKMU3Mjb UzUorX1YQVS6Ba8dBiWhrfYVnx9j1j9WG17wryvVaEBkVKGlWLe03NPnGeBXzuaM3FLszsyt ln3lvFHxvxQ8KvijDqaSDOsxUXbVi46yP+vFQFlTGWO1q0Ahy250QaFUoCU9IvOrd7HL0nqm 3ZbPql0q/oNW/JGHQ0mGbWUUZV+1HQ2lLLtnAH9UbK3gn1V9H/HuSsm/zKIC8B8Q/NEH05qE kfYV28oY6yFR1lTGWO0eHfyRsbWAP/rCrq53tRj34qf6e0vwt/pv25bHUqV4AVA6HKU1F7sz K++WXfUgeXRY+1SzUxvjsbeGb8/nGXZrt+Kzc6tnd1ZutS52JVD14GWNec/GVWLcip81t24L fmtyMR4FUAAFrqIA4L9KJPEDBVAABUQFAL8oFMNQAAVQ4CoKAP6rRBI/UAAFUEBUAPCLQjEM BVAABa6iAOC/SiTxAwVQAAVEBQC/KBTDUAAFUOAqCgD+q0QSP1AABVBAVADwi0IxDAVQAAWu ogDgv0ok8QMFUAAFRAUAvygUw1AABVDgKgoA/qtEEj9QAAVQQFQA8ItCMQwFUAAFrqIA4L9K JPEDBVAABUQFAL8oFMOurUD012+ram2/anc7r/YVxtFfbazul3HXUADwXyOOeDGgQBZEe98j /3AJ8A8ElqlVBQA/yXF7BTLA37K5/aUapQBl7Pn2iXIhAQD/hYKJK3YFtr+daf2b0JbVWr/B ad0issBYHatU/LN/s5ZdVWYcXQHAf/QIsb/pCpR+bd0a+usN1Kpx63sEFvCXwK5cEKYLh4HT KgD4Txs6Nh6lQKu1sgWsZWxrf6V1S3cWVsCrF5Qo7VjnnAoA/nPGjV0HKtCDee3Jm9ZFobe9 GT1+oN9Tndffd7JIgQJ3V6AH/po+RwI/0L97Ftv8p+K36cXoCypgAX9Uj/8hYwnW6sVEHXfB cOFSgAL//WRfwDIsgQLnVaAF/gXQtTdv1//ugXGtjfS+Ja+cz9Ib0qX3CM4bFXY+UwGoP1Nd 1r6VAh7w30ognD2MAoD/MKFgI2dXAPCfPYL32T/gv0+s8XSyArzBOllglg9TAPCHSclCKIAC KHAOBQD/OeLELlEABVAgTIE6+HnaJ0xkFkIBFECBNAUKLKfiT4sGhlEABVAgRwHAn6M7VlEA BVAgTQHAnyY9hlEABVAgRwHAn6M7VlEABVAgTQHAnyY9hlEABVAgRwHAn6M7VlEABVAgTQHA nyY9hlEABVAgRwHAn6M7VlEABVAgTQHAnyY9hlEABVAgRwHAn6M7VlEABVAgTQHAnyY9hlEA BVAgRwHAn6M7VlEABVAgTQEN/HxhW1qAMIwCKIACYQq8WK6BP8wqC6EACqAACmQrAPizI4B9 FEABFNhZAcC/s+CYQwEUQIFsBQB/dgSwjwIogAI7KwD4dxYccyiAAiiQrcAn+Hl6Jzse2EcB FECB6QpQ8U+XGAMogAIocCwFAP+x4sFuUAAFUGC6ApcG/38/ravlZ7qSGEABFECBkyhwWfA/ gL/+b/v3k8SHbaIACqBAuAKAP1xSFkQBFECBYysA+I8dH3aHAiiAAuEKAP5wSVkQBVAABY6t wC3Bv37T975//t/PG9+Pn783wN9vhP++wE9Hg2yJiJGWo+UzXs//qzChdem5JfjVa3HWG8L/ /v1Tt+gat37f++M98IVkrlXHJs32uba7kl0V6CMeR/jr3WeEbY/vWXbfF8jXpqv573GqMSfN 35899dh1WfA/4jH6OGdPvOA8eS83O2G2H9Be8362bQuAo/X1gjJ6H4/19tT5KH7v6fM6Zg+7 aw3Wr838soIsfxf23bLijzisVwR/MdGXX87wUwZkJWuU3RbkSjkRZdeab1l2Wxcdq3Zn8fnr rna1ccBvjeINxt8C/F+fd/jtfe79nwWEkYCy2I3UJMuu924jQvO9fV72/GW3kPORsV3W2tvf zzuZ9iFOOOIzJJ6z5uXBXyD8kqzbgz5H4b9V14ek15qI3EvW4cyy6wV/s23QeY91TxCWWjqA /zt6gL+R0XcG/1aWEoytAO4BPeO95SwAZ9mdAf5eHihx761Rel3NyaLWq6Jn1h1uZox77AL8 dwV/Jdstyaoc6NqbalvZLXY9kKjNuZvdDPArFb81lyywBvxU/FVmuJ9nj6TQa61ZMGq9yaUc zgmuvpec5XNvz3eze1Tw9+I08no1xquHGkbWTykqOm+6UPEPRLQn3nNptVQx7GMWjAD/dxBm ad0Ld5ZdwL+KzNHAr7JEuN3psYtWz16tHrUh+bOfWVAA/IAf8H+Df6nfehdr6+vNc2zggdXu rz881ePR7VXMT74uVh6dmQ7+RlLMst0LAnZ7CsW9jtYvLSe/wVt8mminJxhuD/6eAK3jNDLX dUzVd0Jdi6+ezwf8bwXvBkEq/s3hmdjueebW5DNdQ0GPXZNLWiehgqaN/vatnnhB2/xa5p0w wQbevAf8gD84t5TlDnmRnQX+nSp7wP91If+9po3Ae2SuchBqY94HRHgTx2IH8H+rdUgYWYLq GHs3n7u99icnHELWqft8JUtnhXuR7gYqF7fUCLxH5o548JEwgZUD4Af8mUDKAuGu4F9dQbL8 BfyVit/yfduP4B3h51GSjO7jkZNLG2l0LeYfIy+Iw1gclnO1nI0RPSPO6Ij97dxW8UnF31Dn EBX/en+D96NU/FT8VPxfPeFXS3jkHr3cK6LiH9RUmV777v0ReI/MVfbc7fFvB0SAv7NGVrJi dyRjbHPR+hv+g0er+CZBls60eiqtHvWYHA78vxFVt/817jkV8H/oknU4s+xS8ReOz8+ZGDhW 1TOVGeMeu/wUcePnPBN74s3yRHkzympbafMABauq/vGZUMiyfVi7I+A/4KPRVPz+c/nq++Vc F7sHxFGeAP5yMnS1Hswhcztvkr31snfzuesv4N8h605k4pAVv7PdA/gB/6JAF4STzuhh7XrB f9C2KRX/YAIfFvwO+AN+wA/4K0AA/IOkPPH02rP9GS5JlZGx3QP4AT/gB/yLAjlN7AyaOmwe uuI3Vv2AH/AD/kDwC4WXVMA5uKRM6bEL8DdU7ImnBMAzRk4YIfneV/gl0gftS8o+ewRtzLmb 3YcUd/O566+n1SOcva7d4FxeL9djF+C/E/gPnKxZh+RudgF/4cC/zoVwPP4mC4Ozcuu3GXDj X8RS+zSveqHtiaeuYx0nJ4yQfB8VvzBetm11qjMeu8GCcpfzVqCbW1bwC+co8wJ7a/Bvoe2B uGdOxPHtJurnPZ1kUvnUbmaymnyWPNYG3c0uMQ6o+AG/driOMMoDcc+cCF9NMBKTEPCXI2PS OiK4rzWy7AL+ShAtfX7xzGXGuMeu2/T4e0KU0sEzJ4INpoQRkxDwA/5FAVN+RSR08sVO8hfw B0b6IEt5Af6AZcSPVQYpUZdFAb9V3o/xJq2HLH1OzrJLxX/sij+KNz3mXb7iLwmw9y9iKQXz cfAjftRf/rBU/BE2WSMmduh4HB0f5+hxRnoxUc9bb53l9S0b1HnKuFadchnwl57g6V31egXc 6Pym8Ju7ifVYczUoVP20emj10OppnEi11SOctZbOW9D3GOR9vceuy4B/K1CpqreK2BPPup5y IXDdigvJCPgBP+DPA/8C/EhmtHly4+f4R0XeE/zrlr3A8U/XhAmAH/AD/hzwC8dzFFVf83vs umzFH6FkT7wIG6U1Hq0eU7IIgwE/4Af8+4J/7yp/7V2PXYC/mQs58iw9foHnv7sXBgJ+wA/4 9wP/8kbxrOKwty7g7yl0YPCLTAf8AzE2v5E+YGs9NcvuYw9Ztg9tV3lzVyiw1mc2y9/fPdDj dx/VnnjuhTsTtwnTzbfugNe1QRiXlazYnZVN3+uidUHrIPCvj1iWzoDfcJZqz/YblggbWkqY LrN7V/hHAdBdhGowLIjGi/tedqn4K0oHgH97vAD/nlkdaOsoFf/iUpPbgN8V+azDmWUX8M8B f+n4Zca4x66cdy9dR3T/ST3xZu2oljCAP17xrMOZZRfwA/5nKyj+KB1nxSt+H38V/krFL4Qm C0jYFYITNAStY3v8taOXpfOte/xX/T5+wB9Ev9cyWYczyy4Vf2zF36q3MmPc61ZcuuJfh7gn RCkdPHMisNRLmGKyUfG7pO9p7VpUmJRlF/AD/su3epZbHi/AvfOEc98c0oMC4B9V+G9+T+s4 S58rZdkF/ID/FuBfwuyBuGdOBCgUKHzBn4rfJb2itWvhzqQsu4A/Dvy9p6MzY9xj1y1bPXt/ H/8jAaJ/lo+Er9dtfVd4aXz0nlgvPs5ouo+mve/jL52to5+pVu1xGfBvn+C56pu7f3cwhbA2 SpBedbKsllWlYHfGfUV5TbQunx3L49LKecrSeWlx3wL8JSev+Djn2k9Lu0dJVNoA14cvMXa2 ejYHSDlPgH+/8xRqqdcnCzW2WkxNGMA/HgFV63FLvLl7aK17X9kA+KOPwHHXuwr4nzmrlCg/ ww59OCekyt38peKvJxGtnsYBe4hT+6lOc02acMqNSwJ+o2ADw+8G4Cx/Af84+MUaKq2ICuvx r7ndfMPgdVF4jnFNGiDHhKlHB/8i89v1SkZS8deTIwvAWXYBP+B/ckPhpXqFW9aygKYHLWV/ s8YA/lnKfq+bBcK72QX8gF8G/37HP8/S0b+Pv6bMx0WZit+cQIDfLJl7wtG1Vnv8aiGc5W9Y q2cdaVe73jXJnV9hE6n4w6TsLpR1SO5ml4qfil+u+F3tetekLh92HQD495P7bgDO8hfwj4Ff rfYzdQ6r+C3O/hpd/scADqsR09LSWxlfK54B/G+9P/7w6YolHllAwq4hoQeHonVZQKXVY8FU ls5h4B/Ms9TpS+/eswnA71HNNyfrkNzNbmYlenStq1BfvXAr8G9b9EtxqXZzfCgYn7WA2wtw 77zRnVsPyDsZeXPXLL1Va7OByoQsu4C/EcGf81M8QncG/1qukjiWK2HU4emtA/h/FaLVU8+U LABn2QX8gP/JhB483+BYDZTA33qSZ4dbhXW17q3cvfMUTVtjrFDoPdIJ+AH/WgFrfo3m8zL/ 8Hap+D9DvQW9CfxRWWNcp/Rc/rLEFb6P/3GIlp9HPJY/1743vPVd/eu1+PM+3/+OzsfTufad /Ouzsz5rR49hC5muir+0oPLGiJHdpuGtr2D2Vu7eeaaNFwZbKyMqfr/iVq39lj5nZtml1eNv 9Vjb2Zkx7rFLBn/LaasgUYdHXacnQm0d7zx1X7VxnoRpvcFLq4dWD60e4VR2Wj1WznnOsbBL aUiPXRL4JUsXHNQTb5bLnoQB/L5oeLT2WaLiP7zWgN+e2q73a12T7HvzzgD8XuXs8w4PBbtL zRlZ/tLqodXzUICKv5kHOfJ4oEDF7yOzR2ufJSr+w2tNxR+R2udfg4p/vxgeHgrBUmT5S8VP xU/F3znMgD+Ydo3lskB4N7uAH/CHgL/5GOf2Q1xbza1vk0/k0Fm/j3+RhFaPLzkAv083z6zD a02r5zOsrg/hKp/yOhD4S4lMxe853r45h4eCz63qrCx/qfip+OWKv/XwjfmDW+sJgL+YhR4o UPH7yOzR2meJN3cPr3Wj4vegKsvfJ9g7GzY/trJcBL5aDJY2zrIpj5oRp05coyeeuIx5mDdh ah/U4gNc9RB4tTYHdTMhyy4Vv6/i96AqM8Y9dpnBvwb+9iLwIWlPqebk0WP1O3/bt7eu2hPP up463pswgF9V+G+cV2u7JSr+w2tNxa+ndffN3dZSvYuDvo3iyFFwj873bt97QAC/XXGv1nZL gP/wWgP+zyS18tnSWnhbshrpnLwIaEes4QGE94AAfrvaXq3tlgD/4bUG/N/gVzozH2Na7wiv l1cWdpyy0TbP0ipymB6e4j0ggN8uvVdruyXAf3itS+B/FaSeujTLX4Vd5h7/mufbP1cPg2vS 6NHaXrz+XL3a9/E/Euzxs4B/+fv637f/xt+P933wxCQ3JqXv41++i/9xts4Wn2aXPRavx13N 07bxzIlQwFspNCt+cWNe2+Ly1WHYHVVQn4/WFa2o+PUkOsrI7S9i2ULbA3HPnAg9vAcT8NvV 92ptt0Sr5/BaA36tx99s49deVHv/oyfrZ37rt3IpywN+RaWYMYeHQoyb71Wy/H1sIMv24e0C /m/wb/N++2bH15sfpXdDupOCT9fgcoB/UEDD9MNDweCLMjTLX8DfiA7gB/wPBQC/grCYMVkg vJtdwA/4n2xTjq1SqHcrfuUOQNnMjmMA/35i3w3AWf4Cfjv4PY9yZuqsFK2Av5kHkjzhdPRC gTd37aHwam239Dkjy24mkLJ8lu1WWj2A/5W7UvHuuk0YPU6x809Z8f9e7j+EsCSufEhipeYN x2A9W8sR44o6gP9TmNYHtZbXvqR0Tdox+zemzv6LWBZ3SlU/4K/n1d0gSMXfZkypZW05P+vV s3IrrNWTh+Ncy2er+N/FPhW/nDhZhzPLLuAH/E9OKCfEesWr9ZqbtqxGlI0PjgH8gwIapmeB 8G52AT/gN4G/2tJZ6fgxRv2glrKwASDroXf7ABcVvz1RAL9dM++MM2hNq6cS3W3rXuK7a5I3 vX7n3fErGwC/PWfOACO7V+0Zd/PZ4i/gj862ndeLaNNErOFx25Ko2/V5c9em+IjWNkufo7Ps 0uqh1SO3ekYSPGvuHb+Pn4rfnm1ZAM6yC/gBvwz+0pOZrac1X72W3+fJ1z387iT7wa3NoNXz p4zlffMsIGE3Lvd7K6F1XSFaPSttXJ/Fck3qpaz+egv8V/1FLI8DvbR6Hn9efh7/tv47f879 hR/of1z9t2el9MtZzhK/Fi1dj3OWKsjSlfLDsDRJB/t3b/u/99cw/7Y8tp9elVzdbNk+x+/B 38yRiowevy0CI1rbLNHjP4PWVPwnr/gX+C/VveeQ8uauRzXfnDNAwedZeVaWv/T46fGbevxr uaTiPbnVE3FIAX+EitoaWSC8m13AD/gBf4dJgF+DdsSouwE4y1/AD/hN4G99Bqv44VtlguVx kwi6GNcA/EbBBoZngfBudgE/4JfBP3CeTz0V8O8XvrsBOMtfwA/4AT+tni8FsoCEXS6ysxSw 5BZP9ayi4OrauCbNCn1/Xb6P/1cjyyHpq6qPwK6u1ehItK4rqDyTouqfpfOzou+00V0PqrvE cU1SJZ4zrifeHKtj8OU5fltUsg5nll0u7rZWz8jbkJkx7rHLDP6aEE2BXJNsB3jG6J54M2yO HkzAb4tK1uHMsjuaXzZ1P0dn+WyxG1mfWuyO6Fqa22PXZcFfat1Yxe2JZ11PHT+SMIBfVfme rS3AT8X/bAXZjsnv6FL7vruOa1J3VWmAF+DeedKmGoMA/6iC+vwRrXUr3yOz7AJ+wO8G/0jC Z8z1Atw7b9THEShQ8dvUH9HaZulzdJZdwA/4bwH+EXiPzM2CAuC3KZ8F4Cy7gB/wA/4OIwC/ DaIjo7NAeDe7gB/wXx78NXDzffzH/T70B4j5QYOsHNh+H//271n78thtXeJcb+6OVHaz5q5h vtgYrdhH53t9Ha1CRx5JG7Wd5TN2dQWIcV2rkbOzXTVL52dFP+MDXHqK5Y7sOd/b3ej83vq1 10cTZiR5R21n+YxdXQFiDPgvU/Hraa+PBPy6VqMjgdGogvp8tAb8gL9xXgC/DpPRkcBoVEF9 PloDfsAP+D8UAAo6QEdGZun82HOW7TPYHWmT0uMfOREHmkvFv18wzgCFSDWy/AX87Sh+gP/n L3xJW2TWn2QtwL9foLJAeDe7gB/wPxSg1fPKg6t8H/8zqJuoWqqWu4Hwbv4CfsAP+DsFLRU/ Ff8sBbIuOIAf8AN+wP+lQBaQsDvrEvO9LlrXtabHv18eTrNU+jSvxRgVv0WtsbHAaEw/y2y0 BvyX7fFvoe2BuGeO5QDWxo4eTHr8ehRGtdYtfY7Mskurh1bPpVs9gP8vwXlzt37YswCcZRfw A/5Lg//p3PM53N8fz3/eeR5b6zmjUKDi1yMwqrVuiYr/DFrT4/dm9EHm3b7iX2Ww5bp3hsMZ mWJ385eKn4r/0hV/C/xX/j7+B8iW38L1+PPy9+XP/D/fdU8O1HNg/f37j4PE9/FHllkT1tq2 daj4/9pbVPz0+CNbid7je4a7K1o93ugeaN6te/y0eqRMPAOMJEcMg+7ms8VfwG9IpKsOPfWb u68MLv3y9Va8LIckMu7YjVSzvRZa1/UB/Pvl4WEtAf79QgOM0HqWApbcAvyzonCidQH/fsGy HM7IXd3NLk/18FTPpZ/qiYAD4I9QUVvjbgDO8hfwA37A32ES4NegHTEqC4R3swv4AT/gX+XA 5b6Pnzd3pesR4JdkChl0Bq3p8YeE+tyLUPHvF78zQCFSjSx/qfip+Kn4afV8KZAFJOxGXlba a6F1XR8q/v3y8LCWqPj3Cw0wQutZClhyC/DPisKO6/LJ3dfv3zV8Z4PlkESGEruRalLxrxWw 5Bbg3y8Pp1jiu3p+v6uHT+4Cwa0CFhBGHs4z2AX8kRFPWAvwA34l7c4AI8UPy5i7+WzxF/Bb MumAYwE/4FfS0gIFZT11TJbdx/6ybJ/B7hr8hg5pMexZ/v7e6bd/+ZTvV1Op2Z08bvts/rKd O30f//a7+R/JyA8akAPlHFh///6Zv4u/d9G5NPjX153eFbB0jfLMibjW9YLWs7Hu69Pjp8dP j/9f78i8X6fil6U6xkB+EctfHAC/npOjF1nd0ufILLu0etoRA/zejD7QPB7n5KmeXjpmATjL LuAH/M/3AHoH486v0+rZL/pZILybXcAP+AF/h2uAH/DPUiDrggP4AT/gB/xfCmQBCbuzLjHf 66J1Q+ufJv/S5+dxzv1y8lCWqPj3CwcwQutZCphyC/DPCsN51j0r+J+3cq93b3ics51vJigE pm6WXVo93dt8Kv7APD/8Ulf6RSyAX0+3LABn2QX8gJ8efzcHch56ioACFb8G/witNUufo7Ls Av7uoafi9yT0lebQ6tkvmlkgvJtdwA/4L1XxlyB91w9wfbV6DPy+Gwjv5i/gB/yXAf8C+HVI 7/ztnIBfv9IBfl2r0ZGn0JqnekbDvM/8BfA90HvaNp45EV5HHBDvs8gRtj0aYNejmm8OWjd0 A/y+pMqaBfg/lQf8WibeDYK0emj1XKbV89va+HwCp/d3BQtU/IpKMWPuBuAsfwE/4L8t+C2/ iOX8Y38vivygATlgzYFzn53WJS7nQfWBIrH2pE6vwvdU7545i2tnnFu6c7KE6ow+n3HPxMmS lf1fQ9gE5MAX9ozk1uwYnw78tSAd7XHOkaBnzZ2dbEc8YFlaj9glToC/p0Avvy4D/p4Qntd7 4l0NZADFliVZ+UGczhGnkfyYHWPA38ihkcCdce7sZLvahTIrxsQJ8PcU6OUm4J8E/l5gZkFw xO4oUEZs9xJ1ZO0jap3lLzGelUnf6x45xoAf8H8okJWs2L0+kIjxcWIM+AE/4N/vPL4tZUGQ in+/YB85xoAf8AP+/VgA+G+kNeBPCHaEyazAZdmlGozIGm0NYqzpFDEqS+ssu8o5puKPyCzW QAEUQIETKQD4TxQstooCKIACEQoA/ggVWQMFUAAFTqQA4P8J1qMXt/zUYqeMscZdWVMZM8Pu smZkn1LxRRlj9XfpeWbEWOq3Cvnn9bk1b6bWyn4jc0vN1yyfZ9hV1qyNuT34t8lXSkZljJLo 6zHKmsqYGXbXhyjqcCq+KGOs/pbAu1eM1xecVkHRyguPv0e2OyO31DVn5lfrnMywq6zZGgP4 O9/jr4LDekCVwG3XjICwancZF2FT1TDKVk+3vcCvaKjGw5Jfit2eRhZ722q7F0fP/nr7Udbs 7atno/S6x+7MfajFJeAH/MV8VxLaclAUwD3GrH8s6/daGkpVPcN26aKnHs5R/y2AsYzt7au3 VnRuKbFd3wUtce75YXld8XmG3e1FV80twH8S8PcSS01SFcCthFJtqUlYs5Xlcw/WVv9bfijx sNqzxi5KZ8Xu2la03V7csrSeabflc8su4D8B+CMPiJKE28o7wr5qV63eLDDMtH1UGCmQtmis xm1Gbllsq2Otvh/x4g74G1HMgoJitwcNa3KW1utBvfe6ugfFX2WMau8odxu9GM7yuWdXed2j tWXdqNxSYZ6l9Sy7Pf0AfyeD11VILYlqY7yHYzkgy7olu7OqI8XfGRWhYneGzorWrTEjMa6B cH0oZ/q83ftid1ZuKf7OyK3Wmtlaz8itVvwUf2/f6hk91MxHARRAgbMpAPjPFjH2iwIogAKD CgD+QQGZjgIogAJnUwDwny1i7BcFUAAFBhUA/IMCMh0FUAAFzqYA4D9bxNgvCqAACgwqAPgH BWQ6CqAACpxNAcB/toixXxRAARQYVADwDwrIdBRAARQ4mwKA/2wRY78ogAIoMKgA4B8UkOko gAIocDYFAP/ZIsZ+UQAFUGBQAcA/KCDTUQAFUOBsCgD+s0WM/aIACqDAoAKAf1BApl9PgdJX Ze/h5fardrc2a9+/3vte9j32jo1zKQD4zxUvdjtZgSyIluyqv8Aja8+TQ8HyExUA/BPFZenz KZAB0ZbN7S/VKCmasefzRZYdrxUA/OQDCrwU2P4mrPVvq1pEav22rHWLyAJjdazS6pn5m7VI lOsoAPivE0s8CVCg9Gvr1tD/qJr++zs+rXm9bVnAXwK7ckHo7YHX76UA4L9XvPG2o0CrtdLq uav9eKVVU3uT1wp49YJCUtxPAcB/v5jjcUOBHvhVKFugO6PHb7FPQtxPAcB/v5jj8QD4a1Mj K36lnVQb8/h3oE+K9xQA/D2FeP1WCvQqfgXK6zd5VfFKsFYvJuo4dS+Mu74Cn+BfvVl1fdfx EAW+FWiBf6mma2BvPdWjVOG1NtKyS6XHz1M9ZLWiABW/ohJjUMCoAFW4UTCG76oA4N9Vbozd RQHAf5dIn9NPwH/OuLHrgyugtHYO7gLbu7ACgP/CwcU1FEABFCgpAPjJCxRAARS4mQIa+Hna 52ZpgbsogAKXVODF8v8HyI2JzHqSeMAAAAAASUVORK5CYII=</item> </binaryContent> </worksheet>