Mathcad Professional 14.0 <description/> <author>Alissa</author> <company>Parametric Technology Corporation</company> <keywords/> <revisedBy>Tania</revisedBy> </userData> <identityInfo> <revision>1</revision> <documentID>8E845F60-2D94-46F0-A55D-F76CF271EC2B</documentID> <versionID>9B5395DF-B31E-40C5-A480-37099EC27C33</versionID> <parentVersionID>00000000-0000-0000-0000-000000000000</parentVersionID> <branchID>00000000-0000-0000-0000-000000000000</branchID> </identityInfo> </metadata> <settings> <presentation> <textRendering> <textStyles> <textStyle name="Normal"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Heading 1"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="14" font-weight="bold" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Heading 2"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="12" font-weight="bold" font-style="italic" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Heading 3"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="12" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Paragraph"> <blockAttr margin-left="0" margin-right="0" text-indent="21" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="List"> <blockAttr margin-left="14.25" margin-right="0" text-indent="-14.25" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Indent"> <blockAttr margin-left="108" margin-right="0" text-indent="inherit" text-align="left" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Title"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="center" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Times New Roman" font-charset="0" font-size="24" font-weight="bold" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> <textStyle name="Subtitle" base-style="Title"> <blockAttr margin-left="0" margin-right="0" text-indent="inherit" text-align="center" list-style-type="inherit" tabs="inherit"/> <inlineAttr font-family="Times New Roman" font-charset="0" font-size="18" font-weight="normal" font-style="normal" underline="false" line-through="false" vertical-align="baseline"/> </textStyle> </textStyles> </textRendering> <mathRendering equation-color="#000"> <operators multiplication="narrow-dot" derivative="derivative" literal-subscript="large" definition="colon-equal" global-definition="triple-equal" local-definition="left-arrow" equality="bold-equal" symbolic-evaluation="right-arrow"/> <mathStyles> <mathStyle name="Variables" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="Constants" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="User 1" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="User 2" font-family="Courier New" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="User 3" font-family="Arial" font-charset="0" font-size="10" font-weight="bold" font-style="normal" underline="false"/> <mathStyle name="User 4" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="italic" underline="false"/> <mathStyle name="User 5" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="User 6" font-family="Arial" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="User 7" font-family="Times New Roman" font-charset="0" font-size="10" font-weight="normal" font-style="normal" underline="false"/> <mathStyle name="Math Text Font" font-family="Times New Roman" font-charset="0" font-size="14" font-weight="normal" font-style="normal" underline="false"/> </mathStyles> <dimensionNames mass="mass" length="length" time="time" current="current" thermodynamic-temperature="temperature" luminous-intensity="luminosity" amount-of-substance="substance" display="false"/> <symbolics derivation-steps-style="vertical-insert" show-comments="false" evaluate-in-place="false"/> <results numeric-only="true"> <general precision="3" show-trailing-zeros="false" radix="dec" complex-threshold="10" zero-threshold="15" imaginary-value="i" exponential-threshold="3"/> <matrix display-style="auto" expand-nested-arrays="false"/> <unit format-units="true" simplify-units="true" fractional-unit-exponent="false"/> </results> </mathRendering> <pageModel show-page-frame="false" show-header-frame="false" show-footer-frame="false" header-footer-start-page="1" paper-code="1" orientation="portrait" print-single-page-width="false" page-width="612" page-height="792"> <margins left="86.4" right="86.4" top="86.4" bottom="86.4"/> <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="0.001" random-seed="1" prn-precision="4" prn-col-width="8"/> <calculationBehavior automatic-recalculation="true" matrix-strict-singularity-check="false" optimize-expressions="false" exact-boolean="true" strings-use-origin="false" zero-over-zero="error"> <compatibility multiple-assignment="MC12" local-assignment="MC11"/> </calculationBehavior> <units> <currentUnitSystem name="si" customized="false"/> </units> </calculation> <editor view-annotations="false" view-regions="false"> <ruler is-visible="false" ruler-unit="in"/> <plotTemplate> <xy item-idref="1"/> </plotTemplate> <grid granularity-x="6" granularity-y="6"/> </editor> <fileFormat image-type="image/png" image-quality="75" save-numeric-results="true" exclude-large-results="true" save-text-images="false" screen-dpi="96"/> <miscellaneous> <handbook handbook-region-tag-ub="239" 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="41" left="12" top="15" width="37.5" height="12.75" align-x="28.5" align-y="24" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="A7D3999A-66B3-4CC5-9929-EDF8A8FAA6D0" version-id="32391EE5-3117-4889-B1BE-B407733917AD" branch-id="00000000-0000-0000-0000-000000000000" revision-num="260241012" is-modified="true" region-id="0" href="N:\CEE 454 team work\angryfish\autocad\Autocadscripts 15.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="DE2F1618-EBDC-4546-9477-2C99C5E5FBA8" version-id="5A14450C-4584-43E9-85D5-2AFC599A6F9D" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463019940" is-modified="true" region-id="0" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\cross.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">8fa9abbfa704fe54c36115ad6d093569</contentHash> <ml:define> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve"> </ml:str> </ml:define> </ml:provenance> </math> <rendering item-idref="2"> <element-image-map> <box left="1.5" top="0.75" width="36" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="112" left="18" top="50.25" width="153" height="27.75" align-x="64.5" align-y="66" 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">stringit</ml:id> <ml:boundVars> <ml:id xml:space="preserve">x</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">num2str</ml:id> <ml:apply> <ml:id xml:space="preserve">round</ml:id> <ml:sequence> <ml:apply> <ml:div/> <ml:id xml:space="preserve">x</ml:id> <ml:id xml:space="preserve">m</ml:id> </ml:apply> <ml:real>5</ml:real> </ml:sequence> </ml:apply> </ml:apply> </ml:define> </math> <rendering item-idref="3"/> </region> <region region-id="66" left="12" top="93" width="291" height="84" align-x="90" align-y="102" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="A7D3999A-66B3-4CC5-9929-EDF8A8FAA6D0" version-id="32391EE5-3117-4889-B1BE-B407733917AD" branch-id="00000000-0000-0000-0000-000000000000" revision-num="260240172" is-modified="true" region-id="0" href="N:\CEE 454 team work\angryfish\autocad\Autocadscripts 15.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="DE2F1618-EBDC-4546-9477-2C99C5E5FBA8" version-id="5A14450C-4584-43E9-85D5-2AFC599A6F9D" branch-id="00000000-0000-0000-0000-000000000000" revision-num="260240492" is-modified="true" region-id="0" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\cross.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">a6dbefcdf2a6231e27da6407c11543f1</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">point</ml:id> <ml:boundVars> <ml:id xml:space="preserve">pointarray</ml:id> </ml:boundVars> </ml:function> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:str xml:space="preserve"/> </ml:localDefine> <ml:for> <ml:id xml:space="preserve">i</ml:id> <ml:range> <ml:real>0</ml:real> <ml:real>2</ml:real> </ml:range> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:apply> <ml:indexer/> <ml:id xml:space="preserve">pointarray</ml:id> <ml:id xml:space="preserve">i</ml:id> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:localDefine> <ml:ifThen> <ml:apply> <ml:lessThan/> <ml:id xml:space="preserve">i</ml:id> <ml:real>2</ml:real> </ml:apply> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">temp</ml:id> <ml:str xml:space="preserve">,</ml:str> </ml:sequence> </ml:apply> </ml:localDefine> </ml:ifThen> </ml:program> </ml:for> <ml:id xml:space="preserve">temp</ml:id> </ml:program> </ml:define> </ml:provenance> </math> <rendering item-idref="4"> <element-image-map> <box left="1.5" top="0.75" width="289.5" height="82.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="65" left="12" top="213" width="301.5" height="84" align-x="100.5" align-y="222" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="2FF59C53-7052-43A6-9C76-C842EBED5E54" version-id="6CB651C9-4AE4-4364-AB8E-4A3FC307C015" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020220" is-modified="true" region-id="0" href="N:\CEE 454 team work\The Flocs\Final Project\Final Project Revised\FlocsFinalProject\Final Flocs Project.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="DE2F1618-EBDC-4546-9477-2C99C5E5FBA8" version-id="5A14450C-4584-43E9-85D5-2AFC599A6F9D" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020460" is-modified="true" region-id="0" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\cross.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">316072dadd4d3792ec3cf2187c029437</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:boundVars> <ml:id xml:space="preserve">pointarray</ml:id> </ml:boundVars> </ml:function> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:str xml:space="preserve"/> </ml:localDefine> <ml:for> <ml:id xml:space="preserve">i</ml:id> <ml:range> <ml:real>0</ml:real> <ml:real>1</ml:real> </ml:range> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:apply> <ml:indexer/> <ml:id xml:space="preserve">pointarray</ml:id> <ml:id xml:space="preserve">i</ml:id> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:localDefine> <ml:ifThen> <ml:apply> <ml:lessThan/> <ml:id xml:space="preserve">i</ml:id> <ml:real>1</ml:real> </ml:apply> <ml:localDefine> <ml:id xml:space="preserve">temp</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">temp</ml:id> <ml:str xml:space="preserve">,</ml:str> </ml:sequence> </ml:apply> </ml:localDefine> </ml:ifThen> </ml:program> </ml:for> <ml:id xml:space="preserve">temp</ml:id> </ml:program> </ml:define> </ml:provenance> </math> <rendering item-idref="5"> <element-image-map> <box left="1.5" top="0.75" width="300" height="82.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="128" left="18" top="309" width="190.5" height="12.75" align-x="61.5" align-y="318" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020940" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020540" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">61869429ab0403934315e1ac73141585</contentHash> <ml:define> <ml:id xml:space="preserve">viewtop1</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">t</ml:str> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="6"> <element-image-map> <box left="1.5" top="0.75" width="189" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="110" left="18" top="327" width="200.25" height="12.75" align-x="57" align-y="336" 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">viewtop</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">t</ml:str> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="7"/> </region> <region region-id="203" left="18" top="345" width="206.25" height="12.75" align-x="63" align-y="354" 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">viewfront</ml:id> <ml:provenance expr-id="1"> <originRef doc-id="DE2F1618-EBDC-4546-9477-2C99C5E5FBA8" version-id="5A14450C-4584-43E9-85D5-2AFC599A6F9D" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020380" is-modified="true" region-id="5" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\cross.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="DE2F1618-EBDC-4546-9477-2C99C5E5FBA8" version-id="5A14450C-4584-43E9-85D5-2AFC599A6F9D" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020940" is-modified="true" region-id="5" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\cross.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">4b274eee0b7e7f15204f20afe72eb9d7</contentHash> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">f</ml:str> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:provenance> </ml:define> </math> <rendering item-idref="8"> <element-image-map> <box left="54" top="0.75" width="152.25" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="205" left="18" top="369" width="196.5" height="12.75" align-x="67.5" align-y="378" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020100" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020460" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">b24f949ec6be95e27f617681b32b0af6</contentHash> <ml:define> <ml:id xml:space="preserve">viewfront1</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">f</ml:str> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="9"> <element-image-map> <box left="1.5" top="0.75" width="195" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="224" left="18" top="387" width="222" height="12.75" align-x="78.75" align-y="396" 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">viewrightside</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">r</ml:str> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="10"/> </region> <region region-id="226" left="24" top="411" width="212.25" height="12.75" align-x="89.25" align-y="420" 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">viewrightside1</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">o</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">r</ml:str> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="11"/> </region> <region region-id="229" left="24" top="435" width="147.75" height="12.75" align-x="58.5" align-y="444" 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">viewse</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-view</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">se</ml:str> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="12"/> </region> <region region-id="96" left="18" top="459.75" width="389.25" height="18" align-x="107.25" align-y="474" 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">cylinderA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">L</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_cylinder</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R1</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">L</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="13"/> </region> <region region-id="121" left="18" top="489.75" width="436.5" height="18" align-x="111" align-y="504" 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">cylinderB</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_cylinder</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R1</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">a</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="14"/> </region> <region region-id="122" left="24" top="525.75" width="373.5" height="18" align-x="111.75" align-y="540" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021100" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021060" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">8f92d8dd0fb77466a9573f276dfa8c9f</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">cylinderC</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">L</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_cylinder</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R1</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">L</ml:id> </ml:apply> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="15"> <element-image-map> <box left="1.5" top="0.75" width="372" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="187" left="24" top="549.75" width="423" height="18" align-x="117.75" align-y="564" 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">cylinderD</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_cylinder</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R1</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">a</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="16"/> </region> <region region-id="94" left="18" top="573.75" width="320.25" height="18" align-x="88.5" align-y="588" 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">unionA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="17"/> </region> <region region-id="93" left="18" top="597.75" width="533.25" height="21.75" align-x="117" align-y="612" 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">unionB</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="18"/> </region> <region region-id="206" left="24" top="627.75" width="304.5" height="18" align-x="93" align-y="642" 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">unionC</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="19"/> </region> <region region-id="220" left="30" top="663" width="188.25" height="16.5" align-x="69.75" align-y="672" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve" subscript="all">union</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">all</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="20"/> </region> <region region-id="221" left="30" top="693" width="180.75" height="16.5" align-x="76.5" align-y="702" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve" subscript="allA">union</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">all</ml:str> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="21"/> </region> <region region-id="92" left="18" top="729.75" width="354" height="18" align-x="98.25" align-y="744" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve">subtractA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="22"/> </region> <region region-id="103" left="18" top="759.75" width="437.25" height="18" align-x="111.75" align-y="774" 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">subtractB</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="23"/> </region> <region region-id="105" left="18" top="789.75" width="437.25" height="18" align-x="111.75" align-y="804" 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">subtractC</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="24"/> </region> <region region-id="123" left="24" top="825.75" width="339" height="18" align-x="103.5" align-y="840" 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">subtractD</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="25"/> </region> <region region-id="152" left="24" top="855.75" width="361.5" height="21.75" align-x="102" align-y="870" 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">subtractE</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="26"/> </region> <region region-id="154" left="18" top="879.75" width="471" height="21.75" align-x="111" 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:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve">subtractF</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="27"/> </region> <region region-id="182" left="18" top="915.75" width="457.5" height="21.75" align-x="111.75" align-y="930" 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">subtractG</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="28"/> </region> <region region-id="185" left="18" top="945.75" width="423.75" height="18" align-x="112.5" align-y="960" 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">subtractH</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="29"/> </region> <region region-id="188" left="30" top="981.75" width="373.5" height="21.75" align-x="105.75" align-y="996" 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">subtractI</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_subtract</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="30"/> </region> <region region-id="124" left="24" top="1011.75" width="422.25" height="21.75" align-x="102.75" align-y="1026" 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">mirror</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_mirror</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="31"/> </region> <region region-id="125" left="30" top="1053.75" width="443.25" height="21.75" align-x="115.5" align-y="1068" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020980" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021020" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">07a40115ac68e5f20d3f5886748150b8</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">mirrorA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_mirror</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="32"> <element-image-map> <box left="1.5" top="0.75" width="441.75" height="20.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="156" left="24" top="1083.75" width="547.5" height="21.75" align-x="123" 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 xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve">mirrorB</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_mirror</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="33"/> </region> <region region-id="218" left="24" top="1113.75" width="512.25" height="21.75" align-x="123" align-y="1128" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="174CCD89-9C9C-4185-9ABC-B962639CD454" version-id="86FD36E1-3235-46D1-A257-337B3ADB6121" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020340" is-modified="false" region-id="0" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\functions\basics1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="174CCD89-9C9C-4185-9ABC-B962639CD454" version-id="86FD36E1-3235-46D1-A257-337B3ADB6121" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021180" is-modified="false" region-id="0" href="C:\Documents and Settings\Alissa Diminich\My Documents\My Documents\Alissa\Semester 7\Aguaclara\functions\basics1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">94ba277c6d570fd377757f76bcd48516</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">mirrorC</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_mirror</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve" subscript="2d">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="34"> <element-image-map> <box left="1.5" top="0.75" width="510.75" height="20.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="100" left="18" top="1149.75" width="369.75" height="18" align-x="93.75" align-y="1164" 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">torus</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">R2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_torus</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R1</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">R2</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="35"/> </region> <region region-id="101" left="18" top="1179.75" width="267" height="18" align-x="72.75" align-y="1194" 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">box</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_box</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="36"/> </region> <region region-id="175" left="18" top="1215.75" width="288.75" height="18" align-x="80.25" align-y="1230" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="D0ADB58A-F06B-4127-9D61-1E1B36CE6EF7" version-id="487240BD-15B8-4482-961A-CD7997A60045" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020220" is-modified="false" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="D0ADB58A-F06B-4127-9D61-1E1B36CE6EF7" version-id="487240BD-15B8-4482-961A-CD7997A60045" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463019940" is-modified="false" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">ab6231efdfba32e6af141d7f2e9d20af</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">boxA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_box</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="37"> <element-image-map> <box left="1.5" top="0.75" width="287.25" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="115" left="24" top="1239" width="155.25" height="12.75" align-x="51.75" align-y="1248" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="E229B398-44B7-4F39-95AC-FEDC5C37A53E" version-id="36CEA270-BA49-44F1-AE4C-86D2F6599051" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020100" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\pipe1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="E229B398-44B7-4F39-95AC-FEDC5C37A53E" version-id="36CEA270-BA49-44F1-AE4C-86D2F6599051" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020260" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\pipe1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">60f2493edcaddead0d93529e0c791451</contentHash> <ml:define warning="WarnRedefinedBIFunction"> <ml:id xml:space="preserve">zoom</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_zoom</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">e</ml:str> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="38"> <element-image-map> <box left="1.5" top="0.75" width="153.75" height="11.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="192" left="30" top="1263" width="148.5" height="12.75" align-x="65.25" 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 xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:id xml:space="preserve">zoomA</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_zoom</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">e</ml:str> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="39"/> </region> <region region-id="194" left="24" top="1287.75" width="330" height="21.75" align-x="99" align-y="1302" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020340" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021180" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">e31d0606a572fb1b31d9f5d0cb874b20</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="win">zoom</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_zoom</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">w</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="40"> <element-image-map> <box left="1.5" top="0.75" width="328.5" height="20.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="116" left="24" top="1323.75" width="625.5" height="21.75" align-x="169.5" 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:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="32E20CBE-CCBE-4AE0-8F0B-6F09636A5AA0" version-id="F58A879A-8439-4531-8D5B-9E088CCFAF52" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020420" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\elbow1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="32E20CBE-CCBE-4AE0-8F0B-6F09636A5AA0" version-id="F58A879A-8439-4531-8D5B-9E088CCFAF52" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020500" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\elbow1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">8b307cd6b026b2171477fdaa4ed6aadd</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="elbow">bigunion</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">R2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">1</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:apply> <ml:plus/> <ml:id xml:space="preserve">R1</ml:id> <ml:id xml:space="preserve">R2</ml:id> </ml:apply> </ml:apply> <ml:str xml:space="preserve"><45</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="41"> <element-image-map> <box left="1.5" top="0.75" width="624" height="20.25" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="195" left="30" top="1359.75" width="495.75" height="18" align-x="136.5" align-y="1374" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021100" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="F140493D-EA24-484E-8E48-004B05A663BC" version-id="4907125E-A5A3-49AF-AE30-F738DCD35A12" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020540" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\Tee1.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">6d296d5d03ed58b850d705c58486e686</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">bigunion</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="42"> <element-image-map> <box left="1.5" top="0.75" width="494.25" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="197" left="24" top="1389.75" width="489" height="18" align-x="138" align-y="1404" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021020" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020380" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">6b26a1a1358d7c10f864a72d3ad79046</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">bigunionA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_union</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="43"> <element-image-map> <box left="1.5" top="0.75" width="487.5" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="169" left="30" top="1419.75" width="483.75" height="18" align-x="127.5" align-y="1434" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020100" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020260" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">e314f1156d718e867bba099ae469e210</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">copyA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="44"> <element-image-map> <box left="1.5" top="0.75" width="482.25" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="173" left="30" top="1449.75" width="397.5" height="18" align-x="111" align-y="1464" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020060" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020340" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">95392ed8578b722c40d42b1f9ee56e1c</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">copyB</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="45"> <element-image-map> <box left="1.5" top="0.75" width="396" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="177" left="30" top="1479.75" width="530.25" height="18" align-x="126" align-y="1494" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="D0ADB58A-F06B-4127-9D61-1E1B36CE6EF7" version-id="487240BD-15B8-4482-961A-CD7997A60045" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021100" is-modified="false" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="D0ADB58A-F06B-4127-9D61-1E1B36CE6EF7" version-id="487240BD-15B8-4482-961A-CD7997A60045" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021220" is-modified="false" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">bc24dca5e25c95aeaa04d11914bffc71</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">copyC</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="46"> <element-image-map> <box left="1.5" top="0.75" width="528.75" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="198" left="42" top="1515.75" width="639.75" height="18" align-x="153.75" align-y="1530" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021020" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020980" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">1b18fbb8f7ec7a61baf04ebe448c3909</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">copyD</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> <ml:id xml:space="preserve">p5</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p5</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="47"> <element-image-map> <box left="1.5" top="0.75" width="638.25" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="210" left="30" top="1551.75" width="747" height="18" align-x="155.25" align-y="1566" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020460" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="1C749336-FCCA-421C-A493-7652BD602BFC" version-id="08AA88F4-742B-4EE2-863C-75A45E2C09D5" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020420" is-modified="false" region-id="0" href="C:\Users\Tania\Desktop\plant work\basics.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">9e4194dd6263c6f92fe6a1b7e155560b</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve">copyE</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> <ml:id xml:space="preserve">p4</ml:id> <ml:id xml:space="preserve">p5</ml:id> <ml:id xml:space="preserve">p6</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p4</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p5</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p6</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </ml:provenance> </math> <rendering item-idref="48"> <element-image-map> <box left="1.5" top="0.75" width="745.5" height="16.5" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="213" left="36" top="1587.75" width="420.75" height="18" align-x="116.25" align-y="1602" 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">copyF</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="49"/> </region> <region region-id="222" left="36" top="1611.75" width="378.75" height="21.75" align-x="105.75" align-y="1626" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve" subscript="all">copy</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_copy</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">all</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="50"/> </region> <region region-id="216" left="42" top="1641.75" width="404.25" height="18" align-x="118.5" align-y="1656" 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">move</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">p3</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_move</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">@</ml:str> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p3</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="51"/> </region> <region region-id="201" left="30" top="1671.75" width="588.75" height="18" align-x="166.5" align-y="1686" 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">array</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">nrow</ml:id> <ml:id xml:space="preserve">ncol</ml:id> <ml:id xml:space="preserve">distorifice</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-array</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">R</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">nrow</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">ncol</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">distorifice</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="52"/> </region> <region region-id="209" left="30" top="1695.75" width="573" height="18" align-x="150" align-y="1710" 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">arrayA</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">nitem</ml:id> <ml:id xml:space="preserve">angle</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-array</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">P</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">nitem</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">stringit</ml:id> <ml:id xml:space="preserve">angle</ml:id> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">Y</ml:str> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="53"/> </region> <region region-id="134" left="24" top="1719.75" width="409.5" height="21.75" align-x="129" align-y="1734" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve" subscript="3d">rotate</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">p2</ml:id> <ml:id xml:space="preserve">axis</ml:id> <ml:id xml:space="preserve">Ï•</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_rotate3d</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">axis</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p2</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">Ï•</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="54"/> </region> <region region-id="180" left="30" top="1755.75" width="321" height="18" align-x="90" align-y="1770" 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="WarnRedefinedBIFunction" xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve">rotate</ml:id> <ml:boundVars> <ml:id xml:space="preserve">p1</ml:id> <ml:id xml:space="preserve">Ï•</ml:id> </ml:boundVars> </ml:function> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">_rotate</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">p1</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">Ï•</ml:id> </ml:sequence> </ml:apply> </ml:define> </math> <rendering item-idref="55"/> </region> <region region-id="135" left="24" top="1821" width="310.5" height="100.5" align-x="114.75" align-y="1830" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020940" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021220" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">366aa1a51c5e1f4c6a57589aa7654aa3</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="new">layer</ml:id> <ml:boundVars> <ml:id xml:space="preserve">title</ml:id> <ml:id xml:space="preserve">color</ml:id> </ml:boundVars> </ml:function> <ml:parens> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">one</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-layer</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">m</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">two</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">c</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">t</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">color</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">three</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">four</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">tot</ml:id> <ml:apply> <ml:id xml:space="preserve">stack</ml:id> <ml:sequence> <ml:id xml:space="preserve">one</ml:id> <ml:id xml:space="preserve">two</ml:id> <ml:id xml:space="preserve">three</ml:id> <ml:id xml:space="preserve">four</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:return> <ml:id xml:space="preserve">tot</ml:id> </ml:return> </ml:program> </ml:parens> </ml:define> </ml:provenance> </math> <rendering item-idref="56"> <element-image-map> <box left="1.5" top="0.75" width="309" height="99" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="136" left="402" top="1827" width="252.75" height="62.25" align-x="474" align-y="1836" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020460" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021100" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">840f492e9afc9e38df8f73247dc8a15c</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="freeze">layer</ml:id> <ml:boundVars> <ml:id xml:space="preserve">title</ml:id> </ml:boundVars> </ml:function> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">one</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-layer</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">f</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">two</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">tot</ml:id> <ml:apply> <ml:id xml:space="preserve">stack</ml:id> <ml:sequence> <ml:id xml:space="preserve">one</ml:id> <ml:id xml:space="preserve">two</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:return> <ml:id xml:space="preserve">tot</ml:id> </ml:return> </ml:program> </ml:define> </ml:provenance> </math> <rendering item-idref="57"> <element-image-map> <box left="1.5" top="0.75" width="251.25" height="60.75" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="137" left="30" top="1947" width="243" height="62.25" align-x="90.75" align-y="1956" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021020" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021500" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">77541eb4095f6865305d90dd2ea40add</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="set">layer</ml:id> <ml:boundVars> <ml:id xml:space="preserve">title</ml:id> </ml:boundVars> </ml:function> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">one</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-layer</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">s</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">two</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">tot</ml:id> <ml:apply> <ml:id xml:space="preserve">stack</ml:id> <ml:sequence> <ml:id xml:space="preserve">one</ml:id> <ml:id xml:space="preserve">two</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:return> <ml:id xml:space="preserve">tot</ml:id> </ml:return> </ml:program> </ml:define> </ml:provenance> </math> <rendering item-idref="58"> <element-image-map> <box left="1.5" top="0.75" width="241.5" height="60.75" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="138" left="384" top="1953" width="249" height="62.25" align-x="452.25" align-y="1962" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:provenance expr-id="1" xmlns:ml="http://schemas.mathsoft.com/math30"> <originRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463021340" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </originRef> <parentRef doc-id="5C14D061-247A-447A-BDFB-90C0BE696311" version-id="BDE71E55-986F-4FF2-9F57-EA213791C0E2" branch-id="00000000-0000-0000-0000-000000000000" revision-num="463020500" is-modified="true" region-id="0" href="C:\Users\Tania\Documents\Fall 2007\CEE 455\weir.xmcd" xmlns="http://schemas.mathsoft.com/provenance10"> <hash/> </parentRef> <comment xmlns="http://schemas.mathsoft.com/provenance10"/> <originComment xmlns="http://schemas.mathsoft.com/provenance10"/> <contentHash xmlns="http://schemas.mathsoft.com/provenance10">e0cff69af8d61a0d83d39447bb2c4451</contentHash> <ml:define> <ml:function> <ml:id xml:space="preserve" subscript="thaw">layer</ml:id> <ml:boundVars> <ml:id xml:space="preserve">title</ml:id> </ml:boundVars> </ml:function> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">one</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-layer</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">t</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">two</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">tot</ml:id> <ml:apply> <ml:id xml:space="preserve">stack</ml:id> <ml:sequence> <ml:id xml:space="preserve">one</ml:id> <ml:id xml:space="preserve">two</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:return> <ml:id xml:space="preserve">tot</ml:id> </ml:return> </ml:program> </ml:define> </ml:provenance> </math> <rendering item-idref="59"> <element-image-map> <box left="1.5" top="0.75" width="247.5" height="60.75" expr-idref="1" xmlns="http://schemas.mathsoft.com/worksheet30"/> </element-image-map> </rendering> </region> <region region-id="178" left="36" top="2025" width="316.5" height="100.5" align-x="131.25" align-y="2034" show-border="false" show-highlight="false" is-protected="true" z-order="0" background-color="inherit" tag=""> <math optimize="false" disable-calc="false"> <ml:define xmlns:ml="http://schemas.mathsoft.com/math30"> <ml:function> <ml:id xml:space="preserve" subscript="new1">layer</ml:id> <ml:boundVars> <ml:id xml:space="preserve">title</ml:id> <ml:id xml:space="preserve">color</ml:id> </ml:boundVars> </ml:function> <ml:parens> <ml:program> <ml:localDefine> <ml:id xml:space="preserve">one</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">-layer</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">m</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">two</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:str xml:space="preserve">c</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:str xml:space="preserve">c</ml:str> <ml:id xml:space="preserve">sp</ml:id> <ml:apply> <ml:id xml:space="preserve">point</ml:id> <ml:apply> <ml:matcol/> <ml:id xml:space="preserve">color</ml:id> <ml:real>0</ml:real> </ml:apply> </ml:apply> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">three</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:id xml:space="preserve">title</ml:id> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">four</ml:id> <ml:apply> <ml:id xml:space="preserve">concat</ml:id> <ml:sequence> <ml:id xml:space="preserve">sp</ml:id> <ml:id xml:space="preserve">sp</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:localDefine> <ml:id xml:space="preserve">tot</ml:id> <ml:apply> <ml:id xml:space="preserve">stack</ml:id> <ml:sequence> <ml:id xml:space="preserve">one</ml:id> <ml:id xml:space="preserve">two</ml:id> <ml:id xml:space="preserve">three</ml:id> <ml:id xml:space="preserve">four</ml:id> </ml:sequence> </ml:apply> </ml:localDefine> <ml:return> <ml:id xml:space="preserve">tot</ml:id> </ml:return> </ml:program> </ml:parens> </ml:define> </math> <rendering item-idref="60"/> </region> </regions> <binaryContent> <item item-id="1" content-encoding="gzip">H4sIAAAAAAAA/4yQwW7CMAyG7aZbS9etu3AhSOUZeIIdENph2iT2ACiUAkVUTF2ROPLm3W8n u+w0R3b+Ot/vRsmJiJGfyEy1QS228/W+c1+H9e7cta5PSGKMHGl74XqnLZog07b62Bzrqvet ld8omqGYMF+8hWr5yty1+V7q6FjZKfKNA+tjwCKe/r/7OzzpO1fV84XRIxvAkp+JLQ+imG0E U8kRWwNryYZtPEgnBkMDxB2Y2wuO7oURV6IMRCqMwCOZI/YMjNofwKg9B6P2R/0XxJMyEIUw AvvrFu+Xtu6ayp38g6R67VfklhosE14uC6/5J3IpPwAAAP//AwARvY6sxgEAAA==</item> <item item-id="2">iVBORw0KGgoAAAANSUhEUgAAADIAAAARCAYAAACfB/8pAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA AQFJREFUSEvtlQsOwyAIht21PJDn4TRcxsMw8VV1WNOuroubSdOkovDxA32QW2qFxSArLLUC hK+qP8jlGbAEWhNYdzEaUgYFD32bL1JkKRBDXgeniPbStIthZZtKEQuaR3F4NJC/ygJp5SRH foc9UfVsu7M/KEeEzSdIlcWMHZsCBMmoSMvxIzoQ/laDBdjNTo6NMxfPpfPp3c3Ce01XKYIm OK9kTYpkpQPcpHhO0wjNnlSIWRdB4nTpur1VESQoGgxNDNaDFArwaEz9czp/1x9seqSo61Q7 ESQPgb3+aKGvj7d74/g/8lJaH4zugKtfASnG73DkHkjfBNOxIhOczrjyCTXYtJ+1rUj+AAAA AElFTkSuQmCC</item> <item item-id="3">iVBORw0KGgoAAAANSUhEUgAAAMwAAAAlCAYAAAAOaQa4AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA Bb9JREFUeF7tW9mZ3CAMnhSQPraG6SJNuI/twNX4aTtxMQ63ZYxAYMB4VvOS7Mel69cF/rOJ 34t/LAGWAE0CEjD8+yUSWCbhHKdtGZndLjQu2/R6bVNQELExEVxGlh3TVk8Cy/TaXmELqXfI xZ160yjPe89rkGpsjAFzUclPWL7Ob8SbjkP9XTTKczHQhMYYMOPYTBtK1nl7Dx5ZtptpXKb3 hgSazR9jwLQx00F2Xbf5PXjNsg1AowTsexaUBH7eGANmENNuQoZQ9oS5ziYHFmw6CI3UKMOA KdDxU5as84SmGqPwQKNRRiHRtFCdLd3FwuqOYr5Edw7dE4wxYIolPPrCAVKdpIhyaJRAkbWG WDO3aIyL/bG0TDTi7RgDJqnUp04QSh692JeGmEOjrCcUaFroJAbefYwB00L2I+w5SG0QFUUu jYsszhukY4ZISh3DgBnBuFvQEMvJW5xXsmcOja71LL19mygTq6fsGAOmRNFPWCOMMSfbuYUl Mo2m6JcMqbRMNgDqt8tjl6d2rAJg4m9vaIqg7CHnYEKKFWw0Cu6dtXeBXrVydLIxduI8VH90 pVHbmOy0YWCrB5iujAkFns6zHZKIcpVC6nudHuYEUwH1ngrt1gBqUjpJjfdgzJ1hjdVLpTrS SGlfVwKM9n79wvv5PGlEpPPlS1fSxK7WkncYCfgEnXQ0RhKDt0aYPbrE7m+yASMX6JBlvRxM FcxrV8u4uBRTF0kzaPU5oYDwBw1YPd22YVH/qxhw65DzDh43domVKAhN/luEKZQ333t6f0ue Bf2Lka3k18o5qDzvKUaRTuQ1xffX9vWNmLKvQ3WtAVMWGwkSvKX0rZ69QH17ESZGIwmFmZOM /jHQ/Pz7i8rMjoEa5lgjrOJGVbe7YX3hAwEKNJAjKoBA4e8CU4agLDesFGvU+zwoHPwSixaN fEUCpQbRlODN954BQ9odA3QSgRTy0Dkq0YnrkUa/91COy/F6jFgqLbTpLYE3N/egb5lZgzO8 MW1adzQm8Fo4O8JoQfl9bq8gRwUoBBAbU94mBBh/3fE89Pk1cokVe66d6Y+O00v5hikW9n+Y 63v1S5FOUsYY1ZOnj1K+lSMEEaUgJfOzEezvXL0uU7jWzQaMPth6U7tpLcBYRQQ6FQdhEgGD XGLRAJMbYRLOIGlURpYJwGCKzNZJLmB87w/5SfKGgMJPfwsAkwsE2nz8Rj8TMIt4o7O/Odhv PWsBJtL6TQDmVMjL+SqdONcstJSMJtrDrKhX9mQEDZAYYQ7KEmv0K+NCnUjCKTWMU7dxkjZF M3XXOSXXaZRLs5MZBej4hQDTu4YxjqRiDRPO5W1a8JpmUMRJrwk8tfjuYnIFnj8mvzUIe/Vp gXvobxL288xFVajoD15itSr6Ie0h3gDNqmEivuJTzQ3xr3tlC5sVMns1DRbBh+PXNUT8otvo BdRXuE5SNYzPi5lvIkLonuJAX4A3XcOc9bhfMkKZgHSoSQ3jgd+AxKVzkY5PZoQp8LpZS9Zt EeA4eW1Cy4ocNT6hrZwl08jkJsZYi7gUqK+fs4jube4bzaEAE6ot6N9xf/bF5XXzCOzwawFD uKNCBD4UYHS9EbiDIVtL7Pk13iokb/9pE38tYMoVORhgyhnhlQUSyHkJXLB9lSWD0civlato 9aGbuE7bwPQPRiN/DzOwrbQnTaSphIZKezpiJxBozH1aVMwQf3FZLLrPWBgzgFE4TNG4P0ki Py0qZi1yT8jf9BdL9VELKU/a72YoSSPx4vcyH7F6CoxV+IDsMqm8QSsJDFYjBNlM0dgJMJT6 RdLPgGllrEPsm0p5RiAyQWMXwMRqqeMYA2YEm2lJwxNeP6A0wudE+NOiq+KjRheOMFcl/ZD1 9BcV9zF0G43E2sVKhiPMfTbS9WTye7yuVB0P605jLPoiYwyYGw2k99GHLyl7H048rw+NgRfN jr7YGBf9RDXyNJaAlsB/PmPiskSZckMAAAAASUVORK5CYII=</item> <item item-id="4">iVBORw0KGgoAAAANSUhEUgAAAYQAAABwCAYAAAAeyQdoAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA EsZJREFUeF7tnYmx6ygQRf+k9QJyPI7GyTgYD7uaTYAAieX+qqnxswVqTiMuNJL6vx/79w// QAAEQAAEQIALAv6tTYD1ci76azcSrQMBEKgmgFGiGuH4FUAQxvcRLASBEQhAEEbwQmcbIAid AaN6EFiEQANB+PxeLBzx+tQQ4XW8flVVsNL1dtS0Iacss/Hv/fvmHNrwmDUF4ft7//393hzm 5/X7Zzpg7PuGQFEVCCxKoIEgFJBhF64vHHwgVxd2QVVVhwbtqKoxv/D3/furFr/80/Ejo4Lw JIeyJgSOhiBUI0QFIOAQuFEQ+AXsryQ+r9rVRalPw3aU1lJ1vDWjraopq3BYEMbg8Cem+Ff+ cfvVqpLxPOqJfX/lHCgDAnsROARBzFzZTP3D/y/vSrFn8zIkIwcXMqPX5fh1bT6TY0UlcvDR A5NZ3vPj3RDKA3ZwUQraxtv5ZuEIzuKt+Oi/WbP8cpSRGqxEe3j9NCRGZreh/qbK1IXhjop9 QTjxh/KxGWC5eDEffd5/ggP//ks+i7MkfRaa4NevlD7MJ0JO2PnfJN4Y+36vSxutBYFyAkoQ yECmBmh50etBzJ5NyoGQ/6bLcYEIDIZ8MDHi4cf4xTmsUe8BO6gomXCOK2ju32oQ1GJGw0CB wfzLRMSdCOetjJyB2wgy41+gFuEVgusPKlI6jHe0WwiEatvxmfYBZlOw7/idUvatm8OE5dcG SoDAdgT8FYJZwZMBg64C6IzQWhXQFYLiaJULC4IXMnDPRTeLO9khrBXiRWbyZ+ei3cQtJzCw Ac+sfFi7A4M3P+Z6uKSsn2YJglnJHKslubgjM/nTz3SAj2/w69WFWZFRkQt8votRGVEcDQJr EkgIArmLIxkm6ikIPe1Qs2Ax+pG7nZKCECknYyhmvyS0OpCamiMIN64QYpvdlwUhvgLACmHN wQStmp+AIwhk30DFjuWCgQ5+ajZthUvUxX86iOaEjLSo3GeHHbbKF4RoOd0n9MohcptpXsio TQfLWiEoEaN7B2UrhJjPIm144G6rNjRRCwisS8AThGMp7zwXYIUU7L0FUYbd8fEyG8f8dzK7 VYOi2YTVIZTopjLZ5HVv0WxtRyBUctoWbU+wnP2MQXzQf3pTWXbooD902Ma5GeD1OfzJfzKh H/mHuRHBCrulrhvr7qDUwfgdBECgN4GTkFHvUx+DkhVi9/YQ7rGj/VnYAPqKPIQ2xG2nDVu8 jM8aMkFVIDAhgccFQYajIrexTgjUmBx76OuBUEn3J5UhCDP3VNgOAoaAf9vpzU/RSkv0w0SB W1cnc5YXhrHsb/GKjnIgfQVhfp+VE0UJEFiTwI1PKq8JcIZW9RWEGQjARhAAgRwCEIQcSpMf A0GY3IEwHwRuIgBBuAn0k6eBIDxJH+cGgXkIQBDm8dVlSyEIl9GhIAhsRQCCsIG7IQgbOBlN BIEGBCAIDSCOXgUEYXQPwT4QGIMABGEMP3S1AoLQFS8qB4FlCEAQlnFlvCEQhA2cjCaCQAMC EIQGEEevAoIwuodgHwiMQQCCMIYfuloBQeiKF5WDwDIEIAjLuLImZBTICNeESzxRzqXqzVtV r2Rbo7klrpS/ZDEKgcBUBCAIU7nrmrHnKwTyKu6hX1JHXoJ44QWBNFGReN9UJE/FNcIoBQJr EIAgrOHH01acCsLQIkCaZb0y3M7xXezCC4JSfA4UAIEJCUAQJnRaqclRQXAT25jEFPQNpoFX k79l/ulAqmjbtJTYxPI4BxpoZ6iTyX0u51sOJWYqhYrjQWBBAhCEBZ3qNqlshWDPvuXrvHkG vNJ9Bn18LF7Pfi8I27g5qKsEAZnaNuj1aOIVAhCEK9QmK1MkCGd5sVMzfpfL2fE657RO2an+ H1t1tBOEMiGazNUwFwSqCEAQqvDNUbhIEMRAHclg11gQkiEnirfRHsLn5eQKn8OFsBIEbiEA QbgF87MnKRIEHRrSozUfiHVop6UgiPOUDM7OXUYF4SZNn68yjAixtrze32cdg7ODwGAEIAiD OaSHOXFBoJvHZJPY2uzVgza9jz9nICfHxwbvgk1lwSX2HIL6Xgz29DOBaVKbmhAVnkXo0ddQ 59wEIAhz+y/LejypnIUJB4HA9gQgCBt0AQjCBk5GE0GgAQEIQgOIo1cBQRjdQ7APBMYgAEEY ww9drYAgdMWLykFgGQIQhGVcGW8IBGEDJ6OJINCAAAShAcTRq4AgjO4h2AcCYxCAIIzhh65W QBC64kXlILAMAQjCMq5EyGgDV6KJINCVAAShK94xKscKYQw/wAoQGJ0ABGF0DzWwD4LQAOKD VXze7x9espHngP1YsTcCvPkj+vRf6Ls8fhCEPE5TH9VaEFrXNzXc3sazd0kVvQSwtz0j178r q1C7L7KAIIzcwRvZ1noAb11fo2YuWM31md6CMBJN2ptVaGV0ZbUEQdjgymk9gLeubwMXXGvi xVnetZNNXmp3Vo1WCRCEya+DHPNbD+Ct68tpw47HfF6rvJFVvlW3LvR1Xkc7Vi1sfaC38rf8 uoBD3yVMgyA84Lu7T9l6AI/Wt/ssrdaxFj/++vDAa8ZHZXy3XTmsav2RKn93m0/tCWUCLM8O CEFIOX2B3+8RBDsX8yPYps6V7PDjszsvj8QAjIOOvduuHFa9e+DdbU61h9vjrihD353XA0FI cV7g9/6CQJPn/Pv900tXkgDnT2cnUxnYPix7GbeLf88zmenPArfOzPZhg2Ii17JxjyiTk7jn xKE0z7M1GNNEQqH0ouR3umyP1Gcl65FZfdjFzLjp5D38OytlqIDiH2NYybLdGQvXSF+J/wSj gF3af2+ejpWFithts386LavJupfBTJ1HtMuUy2GV04dSPiV1fF1bw77w/UrqcFnov4WrHd/r rIWi/apPm2sp3sd5PW7UKPTd2ZAGQVhgwE81ob8gcAvc2Cudnej0l8eFdVzkaiAzAzq5+NSg LAeh+IUgf6+Mt1uCQttizwTlxcttoQOKso3mo47VR2f+0XNynGww9YLuzzGWfcxOe/r9fNTz EdQud/DUf3P/JJiJ+g8/Cr8KBrSOQF/zWKX6UMqnubY6WQatVLNOH7Ha4UyavHJaSOwB/stE 5CzrKwQhNRLid0HgEUGIpcekg+DpZzrAxzf6rBmrSY9JZlzOd2YW7fQNXk/wNzePNP375Ldo ffq8ZvWghc5u4zEYUkMdDjcxtixQs1mbVciu0EqKzrpVrRZDO8RhMbCOy2Dl5f8mZXJ9enac NwFS7XH9eloHIev1B7UaMytVZn9iV54LgtuHQ99hhbC5MDwnCIFZ/WVBiK8AWqwQwgOwmqnT 1UeBIPgz/GN2e8x844LgC1Ro4L2HsX0J6Rl42PYjvBMY9FMDpCVypG0JQfBYBQVB9SG6kuMm xnxaJAiKiVkJ0FBPRBzNqkuvGOwVmA4T8ipTqwPZDH9Sk5yYOGMjQkYbiMUjgqBiyzSuLcPl JNZ/+pksl9W+w+nrG6zwywWnBi7+l1if0wtdCYS1xM+fCfP6bOGhA0DGrDcYlrP3DroyZud/ k5jFcatnqxUCq8fbSA+tJDJYKWExk2qrD2X6tEAQon5NCGC8PzgrDo+LHV6DIFy45nctco8g kM2xwKaynBEfm3GvD/1MNivldMhsJkvbMzeLa+8yopvA9JzBWSvdWOT2kb/1xRuqLxDmkZuz Nr/YisVsQHZn7AyadDZLN7/NuKXCdK832fx2ubzYgK/DeSFmzmatuaHAZ0s5BFml+lDKp+yW 33Nbnf4e9OtJHd5mMQlzOoN/7sYwVgi7jvCF7b5LEArNih/uLfeb1TxPRcFN5YbmZzK+8vqD 61Z+fx82UbD+cTtTT7SFWGW277qtd5VkYshENuflhthUvssnk58HgjChA3MGwppmJQfM+++z j81wU3ogVpShp3Rr7zyr4duqbPThNz9kBEFoBX3xeuYShMCtiYv7J9y8k3h6NY9RGfsho9hd YTYCl9Wo7ct3nBcadIrK3+mNFngwLZ/u5kfOJQibO8s0P/LqCuAJENiRlSsAodBSfrhJQ8Vd RhtcYBCEOZ3c7oVtc7a/xOr9WLmCEHpOIf3sgssYglDS6yY9FoIwqeOGenna4Ay3Y+UIAl5/ PXgHHcg8CMJAzigyhV30XnrEogo2OngvVuYJfX3LciDN6pU7xLBC2OCSgSBM7GT2gr+z99dM 3LL2pu/Kit1l5adVDnyXQRyCkAFp9kMgCDN7sHxjcObW1tm+I6s2m8nYVK7reVOVhiBM5S4Y CwKPEcAK4TH0950YgnAfa5wJBGYmAEGY2XuZtkMQMkHhMBDYnAAEYYMOAEHYwMloIgg0IABB aABx9CogCKN7CPaBwBgEIAhj+KGrFRCErnhROQgsQwCCsIwr4w2BIGzgZDQRBBoQgCA0gDh6 FRCE0T0E+0BgDAIQhDH80NUKCEJXvKgcBJYhAEFYxpUIGW3gSjQRBLoSgCB0xTtG5VghjOEH WAECoxOAIIzuoQb2QRAaQHysCp79iyekH+EfeeVyNOfz2TE1WeBkFrQjUybJipbMsemWrWFJ s7rRjGU1dY5TFoIwji+6WXKbIGz3TvrGLvP4+Xlzf48yrhUExkvkcq4VOGJHMjd0Wx993y/z 9lmRxlK9frrtWZ6rDYLwHPvbznyPINyflN0DyAbLvBy8t6EvOJHPz0+a/jRjkqoyyjrjmOjq IhNXbxHIta+JuGW2+abDIAg3gX7yNP0FwUmOrpfw4oLhycD/HQM1v9jYrOrz/jPf62QfZjDX Fzx7v70un4wKtLg4uW3KXnvmR5O2kzCBGZgi4YtIfSaBOj+XaFiAH6/bmn0OwJhZapKuhN7B rzp5+phQQvjEFRLoE8JXyY6hVyUZ4R3dX3Pq5OZ6PnryKm9zbghCG45D19JfEHjz3Tgtveh1 6OMYOMXgry7A4zMPJZDBVQ2IUjDiYQb5e8YFf+YlS1BoW+xZuRzMHTu1bUIAlB2x+uggEj0n R8Pa5A1MzzFu3cH91c/ZGXSfoGxz/e2UDZ5GHVMa/pl6RRrmDUFo3dMHrO8RQSCrA31+ORkm MeTTz/SCj28KmlSCemaf+H8spMTrCf7mhifo3ye/RevT/cOsHrTQ2W0Ml3c43MS4R5dO8nFP esY9ZeBJiOkQ+FQl7u81G+Sl57rveAjCfawfO9NzghCY1V8WhPiMsMUKITwj5wsfMuvXYQJr FRAKIcVm+MdKSs7+6R1EVwXhHsatO+8ogiDapYQ1N1IkvPiq3RhvTbRNfRCENhyHruURQVBx cTPr1nfHZAsCucVQ7TuwIFP8X+0eQmC2/xLJjFU4QY8W1JbC1QOvzxaec0HICxnZ+zNlq7BC xg17eVnISA/aV0JGTtmTNsjVQjoUxX1oxIP1AdlP1vgHQVjDj6etuEcQ+KxJbiCbgYyGNJzN 09fn2CTlP5nQj/zDbCZL2zNnY7UxXboJTM9p2aNtoZu8/Dvyt45Fh+oLhHn0BrbFL7JheR9j RwhPtVjeIJA/wy7dVKZsWWiPhAXT5wz45fRqUcdHKrZuCBB2pAVkpiEGgjCTty7aepcgXDTP L3YS8212jgkqKp5Fl7Qpk7G5YyhV98ldR17R3Ns6U+fE780JQBCaIx2vQgjCeD7JsyjwYFpe wfRRSUEoeOYhJ6SnLaoN7aVbhiMqCEAQKuDNUnQuQaD3/GeGimZxxCU7yYNel8qHCj3FeKTX cDSDuVRFEISl3BluTGtB2AAZmggCWxKAIGzgdgjCBk5GE0GgAQEIQgOIo1cBQRjdQ7APBMYg AEEYww9drYAgdMWLykFgGQIQhGVcGW8IBGEDJ6OJINCAAAShAcTRq4AgjO4h2AcCYxCAIIzh h65WQBC64kXlILAMAQjCMq5EyGgDV6KJINCVAAShK94xKscKYQw/wAoQGJ0ABGF0DzWwD4LQ ACKqAIENCEAQdnCyejvkBk1FE0EABCoIQBAq4M1SNLpC0DkKZmkI7AQBEOhKAILQFe8YlYcF oeBtlmM0A1aAAAh0JgBB6Ax4hOp9QaDJXcIJbWimM57A5SMS2cvsXDqZjTlGv0r5cyS2SScu GYEMbAABEKAEIAgb9IfwCsFNXE+zWOn38B+vSRaDv8r2dXzmr6cmr1JWmcKkYODV1Rt0LTRx MQIQhMUcGmpOliAEUjuW5eelqQRdsdkAMpoIAgsQgCAs4MRUE/IFITCrpxmuTj+7grBWrtkU Y/wOAisQgCCs4MVEG7IEQSWJp3sHZSsEkmS9JKXiBvzRRBCYhQAEYRZPVdgZu+2UJ3EXv+kd YBo2kmrwe//JY14f+plvJ8hNZlHWCzdh/6DCXSgKAo8RgCA8hv6+E3d/UjmZsP2+tuJMIAAC 1wlAEK6zm6YkBGEaV8FQEHiUAAThUfz3nLyvIJDbTnGr6T0OxVlAoBMBCEInsKgWBEAABGYj 8D8qiY/UpkPMAgAAAABJRU5ErkJggg==</item> <item item-id="5">iVBORw0KGgoAAAANSUhEUgAAAZIAAABwCAYAAAA0efbHAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA EuNJREFUeF7tnQuSrCgQRd9sqxdU66nVuJleTA9fTSD5KSLIfRETU12FkJxELgko//2Jf//w DwRAAARAAATOEpBCgn8gwBEQbUoOMgAHBEAABJIE0EuggUQJQEjQOEAABEoIQEhKKC2aBkKy qONRbRCoJNBASLa/j5j++GyVJTdJLsv+/F0r+kn7SyEIG3++f7+lyRule6eQ/P59f37+vhLm 9vn7tzfc2PeNYCIbEHgxgQZCUkFH3LjtBEcKgOkQKky4lLSp/ZWW/H7/fi6LZl2ZUSF5kkNd FZjUEJLLCJEBCHgEOgqJvIHbRS7bp11eZa2irf1lZXqpnBH0qRyqLuKFZAwOPyqkOPNP2m+i WMHzyCf2/ZkycA0IrEXgEBI14hUj/E3+X+/WcaMHPQWkOxcSCdjr5H29fyZpVSa687Ed0zGd cBK2LMef6nnAfilmQZ2sHV8xbSIZfg1X+7fAEV5H2ZpOTuUj86dTd2Q0zaEz17SK+kIhifhx t/Xf0TFL0RM+2r4/ioPssH/JZ2V+1mdcQHE9MtuET5QMifK/ZF409v3JVorLQGAZAkZISEdm Omh909tOzB2F6o5Q/mavk8LCdIayM9lFp91ahLLN6S0fsJ+K2T7t5Auo/7fpPK0I0ukqRgR+ hfj4A++ySMzr8PcBgPBbhcrwEYnvRypudrrxqLca8Zu6HZ9p2xE2sW0uvAd1m+w8nblMV4CK gsB5AmFEss8YkA6DRh10JOlEITQiMQY513EdEBPh+HXxy1bF/JApCa4s+d3d9ptylViSyCHF itbNv87Uy3aqyn6m02frft7/ySuLhIREIza9DkJJ5JD8TIUhPtiw0cweAVJxZD6fn/q6CSay BYEXE8gICdndkp3OqhMSOtpWEQ67K4lGPIcXyoXkPvutUOkRPtk9lhUSUyf/OlW9I/LjohGt 4YyIBg20Y0QS2wRwWkjiEQcikhf3RKja1AQ8ISHrImaOWwcotPOTf+r5bzvPrNZW/OhE93p6 3UUlTExtpXYkRSKSYIrGnxq62X53eq1cSKLX2WZkI5XIdt+yqa02bbIoIjHit0cAdkdXsZDE 2lykDg/sXmtDE7mAwHsJBEJyTB14z2c4Uxju2om6RuyE+ewL6vJ3Mio2neK+yOxP2QSL5/6I 2hulRhfbyeK3v1W2tf3MlE6SgbWHvc59RiQuFk8vtusbIfAjrZO3ueKzHb6UP+1TVPqPfWOH Mz2Yu9+c3Va5xPgdBEDgbgKJqa27iyb5ex2D6qis2DgL9sc1QWfLRC4da9CwKNHxfiIPHw6x /bdlVWnE2jBfZAUCINCVwABC4j+17T1oGBWI0nRdeV4vLPaw3wNTOrc/2f4a8b/uduQAAjMT CLf/dn56evvwU2jHmytSo1b7EBmz9Xgyr0Sn/fRkUoNXwdQDuVdI5vdZPVFcAQLvJNDxyfYQ oJwvp4Lx0Sv2+uFFbjH/nT4Ytlb3Csmw1YZhIAAClQQeExLn6W72aXmzcC5esBc+4V1ZSyQ/ RQBCcgobLgKB5Qg8JiTLkZ6wwhCSCZ0Gk0HgAQIQkgegz1IkhGQWT8FOEHiWAITkWf5Dlw4h Gdo9MA4EhiEAIRnGFeMZAiEZzyewCARGJAAhGdErg9gEIRnEETADBAYnACEZ3EFPmgcheZI+ ygaBeQhASObxVXdLISTdkaNAEJiSAIRkSrf1MRpC0oczSgGB2QlASGb34I3254WEOQGyiT3t TtNU5uxvGT5/umJ4KmeTiiITEHgFAQjJK9x4TyXSQkJeaT/0yxfJyz1PvvjSefX9PaiRKwhM TQBCMrX77jU+KSRDiwfh4rx6/ziBspYcIpJaYki/EgEIyUrerqxrVEj8A6n2N2/SN/qSaSQr Ol99vj1zFL1rWU6kYufEM/XzBUC+4+3Mee4QksrGg+RLEYCQLOXuusrWRSTuaF+/lFMeEVC7 jmLTx9Yz/PNr0nXyz7iHkNS1AaQGgRICEJISSoumqRISP4qgf+ciDJ9vKr090169Mfr4Lxbl QEgWbbyodlcCEJKuuOcqrEpI/CORbxSS7NQYxYw1krkaHaydkgCEZEq39TG6SkjsFJbt5WUH fvZwsmQEU3tapLdry9pUiRBrJJXAkHwpAhCSpdxdV9m4kNBFdbJ47iyC2yOUzYmXahrKO1aZ NYekj3X6FYvtqojYcyTme6V99LNvF51OqwqH6ngjNQjMSgBCMqvnOtidfyCxgxEoAgRAYHgC EJLhXfScgRCS59ijZBCYiQCEZCZvdbYVQtIZOIoDgUkJQEgmdVwPsyEkPSijDBCYnwCEZH4f 3lYDCMltaJExCLyKAITkVe5sWxkISVueyA0E3koAQvJWzzaoF4SkAURkAQILEICQLODks1WE kJwlh+tAYC0CEJK1/F1VWwhJFS4kBoFlCUBIlnV9vuIQkjyjkVNs3+/f78gGDmTbeqzEGyS+ 8pUO9B/3XZmTICRlnJZM1VpIWue3pFNKKy1e64K3uRTCWpUVV++TLCAkhW1txWStO/7W+a3o k7I6nx9ZluX/plRrs+IisTPRGYTkTfdE47q07vhb59e4uu/J7uSo8j0AKmqyOqtGUQmEpKLN rZa0dcffOr/V/FFa3+0TO12yNIdR0um3TF+bokvn0Y5VC1sf4C7feu0D5r7LmAYhecB3sxTZ uuOP5rf6qPBqg3D4ydfwM6/rH5Vxb7tKWF31R+763nVO2sMdXV13nLXMHkKSc/rCv/cREves 90dwixv75zvr/iaPnxxNBue4DMCYdWxvu0pY3d0Ce9c5Vx9pjx/Bct+l84GQ5Dgv/Pv9QkIP vRIHX9kQmxxctXfw5sTF7fujzmqX36tTC81n5SZ7suImOlNznnt2WkRdU3LgVqIh0IOvnE6c HgBGbtb9BEjyOzU0kt/2IefU69O4RCfgfeccLayghGl2Vvra2xkr12hfqf8UI8Yuy+UrTteU U1pi+/LPP8OthpkpR9Vrv66EVUkbyvmU5PHr+5f3RehXkofPwv4t3B9eR20zbXq/l+JtXObj 3yfcd6muEEKysFDkqn6/kEgL/LllOhqyx+QeN8jROZgOcBcCchOZzlx3XvEbSP9+cT3BESJa F3fkqW96aQtzs9Pz7mP50UgjWqbEKTrhQD2fY6zbmHs88u+2medbqF1+p2v/lv7JMFP5H348 jkWmeTBtLWCVa0M5n5ba6p0q6hxJ7bUR5UtmwBFrD8xJn79CfFIBN4Qk1xPi90sEHhGS2DG6 tPNMfqbCEF8AdUbIdqSc+H9s6kvmw/7mnztP/078Fs3PenKPVqxAunXkz5b3OHRiTBufHT27 rDi7uMiNjvJNrg5DdyrGYeCkK2Dl+4YOdEp9mkoXDJxMfXy/JvMgZIP2YKK/PTIWdc6E5dI3 fhvmvkNEcqk7Xffi54SEiSJOC0k84mgRkfAdt4kMaLRTISRhRHGMpvVvdIQfdo6hsHEddh/G 7t1jR9a8CB7TUIxY5DpWRxxJ3TJCErBihcS0IRo5ShNjPq0SEsPE92uuvjZKCdqDMkxNZ8qf ctGIrkY4GMoOaLxuEVNb6+pEtuaPCIm5Cei8vV4OIGsZyc9k2sCsqySX0Z1poiySMAFzw3/U PALtIIywOFMY5SNvmZ8rWGkhKZvactdGbmUsWHzJ3Mqx5bZVRCLyCTYYcJFLaUQSa0OFPq0Q kqhfM0ISbw9ehBNwcacBISQn7nlcUkegj5CQRUNmsV13isci5Wejn8kirh5+7Yvs2vbCRfSr u7bo4jgtkx0l0wVXaR/52970XH7MdJRetHb5xSKkfWH2dsZeZ6uaHF3jIJsqHNu/ZFOAz+Uj hMJuKuCYeYvY+0aLkC3lwLLKtaGcT8XW67StXntn/ZrIw7avRHuwd3npgjkikrp+EakrCfQS kkqz4smDaYlmOc+TEbvY3tD8QsZnXrNx3srfv00MMJx/0s7clj2OVWH9ztva60ohop+yl3Zi sb2XTxYtB0IyoeNLOtAr1cp2tP2fk4iNqHM6oiJY7qnuqzv5rvBtdW30ocdwagtC0go68mEJ zCUkzBbRJf2aWC+4zGNUxuHUVtkDpj6rUetX7rhgCtO7VP9ON6DggcRyukh5isBcQnKqii+8 KPKKlBfW9HqVVmTlCwc3BVY+LWZ9gF1b11vja3OAkMzp2nYvIpyz/jVWr8fKFxLuOZP8syc+ YwhJTatbLC2EZFKHD/VSwMEZLsfKExK8Rn7wBvoC8yAkszpRdBbBMaqz1uVuu9ditb/RwW4d Z45jPrPjDhHJ3e104vwhJBM7T7y4ctoXGvfGviorsWstPLad+a7AHxCSAkirJoGQzOz5+gXT mWt7zfYVWbVZZMdi+7WWt8TVEJIl3IxKgsBlAohILiN8bwYQkvf6FjUDgZYEICQtab4sLwjJ yxyK6oDATQQgJDeBfUO2EJI3eBF1AIH7CUBI7mc8bQkQkmldB8NBoCsBCElX3HMVBiGZy1+w FgSeIgAheYr8BOVCSCZwEkwEgQEIQEgGcMKoJkBIRvUM7AKBsQhASMbyx1DWQEiGcgeMAYFh CUBIhnXN84ZBSJ73ASwAgRkIQEhm8NJDNkJIHgKPYkFgMgIQkskc1tNcCElP2q3Lkqf9ff62 1tmeyo+8ujx6pnwqzZVTH/Wph8eJuuQUxOxZvP61pyrvXKTevpst93o5vXOAkPQmPlF53YRk uTMhGjeCgF94Lvffo4yvCongpc6KvyqMxI7s2fONfaSqIEREiBqEpD1b5DgwgT5Cos/bfnSQ JjrZsjO+R3RWyE+ey+3yfJoxOdI2yrogTTSaKfTL3eJRYB8ikkJfIdl7CNwvJLqDs+XsIzV1 w+vv9w5e3qTiMJ7NjOrk93aEt6exHYU4X8JenxWoFiNdaZuxV9r4uzcBMo3y7+c4H2Tv0CLT LJH8pEC4rBh+Mm/HhgEYCx77YUncGRiGVz6Nf0xswb3GtIniqKBUeGx7zTY2E5UUpCuo2VBJ MLU1lDvGMuZ+IZH19eehaWdhp2iODleJhrlxj89yyoN0yqYj1UITnw7Rv5MO/gx+R4hoXdwo QIuAZ6e1TQmHsSOWHxWIaJmxjuo5xmeQpq4Jo61karU+4rIt9bdtT6n0Jo0j3OkaIyJp3SKQ 3/AEHhESEo3Y8tUAjnaeyc/0xo8vlu7z1TaSyPw/NvUl82F/80ez9O/Eb9H8bGvZoxUrkG4d +es9Dp0Y39HAs3z8QlPccwYmIpJjYJDLxP0dQlLHC6lfQOA5IWGiiNNCEh9RtohIoh0DjTJk W6gQEn4x1ox+larSHVlnhaQP49a3wShCouplBLlmpgpC0rpFIL/hCTwiJGKFQa6b0LWRuoiE LDSbdZVjzYJBfnWNhIkuPuqwdNrxyz/1Go+ypTJakfm5HVBaSEIh4qa2OjJu2NLrprYyAp6z q3CNREcnZVNmEJIcdPz+OgJ9hET2sWYR2Q7t6NSLVpF9Uf6z0c/elspgyqZwu+jVXVt0cZyu yTj2WFvo4rf8jvxthYbLj5mOssLk8AsW23Wz7MfYE9DEXWGnF8tH9LWL7ZStmIIk05f5Mhm/ JO9wkz6VMfVr3oCp+hMstk/lrr7G9hKSZrUqHEE2K2/QjKpH7TX1KGS878DK5Z3YxRVcWrC9 Nlccfr+HAITkHq6vyBVCMqsbmQcSW1UlKyQVz6yUTD1au69OQbaqP/JhCUBI0DCiBOYSEvrM RuGU1qt9Tx7wa1bPpxiP9LqXZjBflRGE5FXubFuZ1kLS1jrkBgIgMAoBCMkonhjQDgjJgE6B SSAwIAEIyYBOGcUkCMkonoAdIDA2AQjJ2P551DoIyaP4UTgITEMAQjKNq/obCiHpzxwlgsCM BCAkM3qtk80Qkk6gUQwITE4AQjK5A+80H0JyJ13kDQLvIQAheY8vm9cEQtIcKTIEgVcSgJC8 0q1tKgUhacMRuYDA2wlASN7u4Qv1g5BcgIdLQWAhAhCShZxdW1UISS0xpAeBNQlASNb0e1Gt o0IiXrb3srdgF/FAIhAAAZ4AhAQtI0qAF5KKt7uCLQiAwBIEICRLuPlcJUMhoYcyicOomIOo 6MmG8uClTZxpLvOR39uDjPY09pXk23c/dAiRzjlf4SoQeJIAhORJ+oOXzUck3LGt9phRew7G 8bpxJRrmdL/js3zNO3kluTkZUAsNXgE/eLOAeSAQEICQoFFUTm15QsIcAVt3xjo969oXKTgH BEBgBgIQkhm89JCNRRFJ7OQ6+n3ysy8k9O+HKo5iQQAEqghASKpwrZW4SEj+9LoJXRupi0j+ HTvAao5eXcsVqC0IDE0AQjK0e541Lrb9d/uIhXaxgM4ttuvvjkX5z0Y/y+USvfiu0gXTYlgf edbjKB0EzhGAkJzjtsRVtz+QaHdtifV4/AMBEJiXAIRkXt/dbjmE5HbEKAAEXkEAQvIKN95T iXuFhGz/xZbfexyIXEGgEwEISSfQKAYEQAAE3krgfyU5W/ncV1XaAAAAAElFTkSuQmCC</item> <item item-id="6">iVBORw0KGgoAAAANSUhEUgAAAP4AAAARCAYAAAD9hBEGAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BBtJREFUeF7tWluCgyAMdK/lgTyPp+EyHsblFQgBJFCwtsWvbZfHMEnIJPbvlM8yn8nAZOC3 GFCBP5/JwGTgtxhYfuu487STgcmAVvmThsnAZOD3GGAGvji3ZTk38SyCjn09l6eBGk6RssV2 GlMc576u537IP8U2gItedh+Nk0N6C4aWORwsNWO4GK7GSTuuu/QW/zADvwZoYax00B6xqoNe XkZfHfgRVyoQbaDfEvi97M513l77pdZpwdAyp/cZLjAE/lHAeuzn6hLG7VJfgeunHL4748dc iY1yp8bY7C+dYNWp/4nPE3C2YGiZ05v/HAbqHwysSBW6jK+cSmdQuBXUIMio+rZAmUZ/NuON sxlJqD5vwgDSc7W8sJ+lg27wfZCp/dwl2kPuKfxeVCkUA9/ibFYYwIE7Cxi1gPlA/8ebZ9bz 3IOCQRxiGxC5ptCI3Uo4eda9oRQbb3eDrxWnU3bYBuCPF76RCr88how9H4s74R8srF4VIKmf yDDaqYAUCHwkKfT/7PfKGM4x8RiNyNShdi0fC+GexglVBkOGsGsaB4Da1pi1GPjO+oQoe0ld lgqBNMK1LgNzcHkifhx+tB7mLbtnzVlrM84ddq/FhC9Yb/NDCOSPkFgsN8Q3+Dvm7MlfIR6J +zAS3xDcbf0XUI1hja8yEgQvziA446NsbxSCl59eitrA1REuiXWpiIBNKgkcKLiejQ/KD/x6 I6q1k9K5BjMam13P+bhVWKnLwV5yw6T8cLvX8+9pwcrSfkttECWUiv2u7FmxDB0KSiqwWU/c jWcGPyTNPX/7OVlkUquX+qRJEBzYOpDYN5nhrRqQf/sMT4JXS19aQlwFPr4IarJgfcbPXio1 mEngpxuR+JLEmSLkqnhxMJ00Liu0gV3vZYzdmeCyw0AB2uyfDKDQN9g7XtmTvUhu4EDcfQNf HsDWoUFdHBBtnMTdZFFn0XfatZMFdSnN2tjp7d5Icag+gsOBs5K7+Ae+zktkgg33MwAYyZZx LyRzkcn11XrhBXMd+EPfYAy1e2sECakWfcNSbJjLa9/g73jhg/xFyMj7cNf2r9JSX8NH3UH3 GTfrQAHY78jOh872XpKZYPGPyzgwLygdUA0flRRhfQ8XVLlOf+EtAm7G4RoyiRmrCoWVNjn9 pRo0UROlE1yWAVdBD6XZIy8mjrV7GTEJQD0BN93Qq9uSb8A8blTkfLAM2mMM9roHdxRLRbzJ 5l5x1r0DIjl37/ZP3C1+nfdElK9hCkqN3FJM32Ct9RpcN5u117txp17ndTp/v2WYJPXb8BNW oj/g+QTMXIwVv/Eo+kbFWlx42XEVe70TN+nN3f/LPRbRWCoRic+a/82DqCQnZ02VDu71ZWMD 7FF0fqpvvBN3+HpRmfOhgf8oT5tgJgNfx8A/Lr/Iyp5exZsAAAAASUVORK5CYII=</item> <item item-id="7">iVBORw0KGgoAAAANSUhEUgAAAQsAAAARCAYAAADKb4kbAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BDhJREFUeF7tWomxrCAQ9KdlQMZjNCZjMH6ugR4OOQTXV4VVr+q5i9D0NEMP7r9LXMu8JgOT gclAjgGZLOY1GZgMTAZyDCy5BvP7ycBkYDKgKpBJw2RgMjAZKGGgMFkc17Ys13aUdDnb9GFA cr5dmvLz2tf12k/x77FdS/dA9IrvaJwlzLZgaHmmBEtNm1IMpe1qxo61FZpYd6E8dxUmi6cD w/NC7N213hHeT7oKOJGL1ySHV5JFr1m/JeQ7vC0YWp7pxRn1c4OB6eNFrOd+rXbDer0MkROd DoXLLOTk2HyOZBvjMoRwVmUxvnh9AWcLhpZnevOfwuDr42Ws4GSts5ACFW9OxJ8TpbqXNkBl GNjp1L1ur4Wrbay83w49OfWssjHmXoh9o8+pX8W3e3YJxhBjHm6spCMxeJodiyTE4NeY6cpg O+F7HDzRn+PY8Erc0NjEtWf/FEu7wSXmujeUg+Pjq/G14jz3NYwB6a5EA2hek1wl4vlZ3LCW YM28y7FzMlCGRHY4RToRTMkCbJD6znwuA2tFjm1UJHS9bfpy64qPqQUtkxUE1fSpxUQ1fCqr e+TSImTJyXuWWS2s3QuwscQKPFic0B/ykxxT5mUxz+asl7Pn3LFo0fWMb+tui+czgoPjAFy0 6Rhushq41wZR67TWipn07DQ5Bnev86R2jsnp8jMLuSPSgscdDJ0FuArajTEA+n8jQHUjFp3d Cr2JRx0LLjqs23uR5hUBYnFGbX0NNmgrF/ttmWBdB4mMzyv7/CNtj45vOzhyPow7PwbBZlMx 3l08K7rxmw7H/WTOHthWrKRJ74DT7abW6sgBg2SR2OFNsjn2TTgJ4zrE/26j9Ba8Wjh+eXOX LDB5xCJc7yySO3kNNi9ZxJ0BJlDM8mOSRVjyqEDaM6Mx8X2w6tSj5HKMvqLJIqeBBIa7eD6F PRJ3x2Shp1nPcSJZyL50/c6cMAuaFpzdAYKTWqrHZVfOQiJQP3nYxeU5G3kuYtvid4+DCx1E dpwNz2GcbWKuKzzDSSQ50b/sjyel+2Qxpgwxcx4a39bAHMJ9wknRhlz20gAma6PzyNlQ3Qze w/28Mm3HGi9DFFNw2mrv8cCSnIb5zJvFqVyFodwsFAyA3fHoOVbWgGMJyp2b84qeB5xYE0ex oXuRmPwDXZdw2YFxpHyjko9xws5+6qRb1npsfPMYvEXLdjtPU1kNxPq6QZDSWh6025GZ3vHA 1G2S2onTCwN4aWDHqcMdrJks3p4cRw84swjebRBY0HeH/+Vo4avTX6IZMzYrg1JDFGqgqK9O 0yga6yO4u2CNvTrtxGW/bgoJ7zfgl3qCt0xfgtUFS8VvbbIaqOjrMfaKsX6OuxNW9tbu9R9l lUYM7V3udWlpn3+tnV8uePhjZY21vo2HgJ+i6K9q4C/hvsPKX7VKabz/c+9PCXKCmQxMBkoZ +A/yzrESuOy1zwAAAABJRU5ErkJggg==</item> <item item-id="8">iVBORw0KGgoAAAANSUhEUgAAARMAAAARCAYAAAD+FkgHAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BCpJREFUeF7tWuu5rCAM9LZlQdZjNTZjMV4IAQIGBQR0z5f9dfYswjB5MIn8O9Rnko8wIAwI A08Z0MlEPsKAMCAMPGVgejqBPC8MCAPCAFQ4QoMwIAwIAy0YyEwm27FM07FsLZY0c6ny7Jja TNgC1A/OoXlcDmOS/Vjn+Vh39ee2dOC1lf1748wxYw2GmmdysJSMucJAY2rt7AsWs1pzXpXn +U9mMinZ9NVYQsi+HvOEAdBiehVEfzY3nfamnYdy9wVnzzHiF3DWYKh5JoePkjEpDHFM6YO6 58FCMEMM2wNtdJnTOoG4fWlCWymnEgOPGHve27bEe9Vj0Kgq8cwgUb74+QLOGgw1z7TmP4Hh FFODsRIl7JSJdlAoPWym0YNsKRIDhu9mvHFcL7OWzTg/PAsyiHy35U0872rWMsqCSDZ6+joM cZkUzc/JE8RbrVwsF25PROq5PRGlkMSKzyXm8zawJSCzNz13JC+BtRUlp/p9rShHu9sfMdfi 3NcZ/dP6la7uUN1u3h9zbJzGkPC9B/x2xU3ikLYNxnLslREpc5gTEBzUEmyDhcgq+A3/Hzg5 HQOWMPV8kJS43kmIwTi4PnGpkf0J7OQc/n7vSInEdtW/CaQc7R1UYk3NR/lLrqkpVEF1v9GK Y3GA/StQmUdof0hxsG3EL31yMYHrZXfZcil7ls0Sjh6Au5nar8dqlXLYM9Enpj316AlHAcfZ kDRmvfzG4AenV0ayRyWrcLgTHU1yWjc1tlWD8Ow42kHZsuFqLxe/JedzYgcVoQuKcG+3zz/y /c72f4DNKqfAFqdAeuAHd75ZiX047kqckLKxOinl2Ppk1ID12dlJJb3KKagT2R+T0abKlnVH 1aL+dgfpncFA/icSxuWzuU5UrkySSqASa1pZ0ARMT4k+yeRcUoGhXe+pi/0fOLpXKKQUZ5NJ ZVP/yp5fxt1MmbjTDN+2YoxncJxIJpCeSP+CUQjocC57BW8aMFgxe4DD0vr+LpnYcsZmn0gp BW9/mJKpj/qP3jqpdRfaJyrFynCg5wuTzHUy6VPmoK172r86KDelbn1TeVtIaU2vLFB/KV6L JnOMA6Y3VTbtANzNkkk9Vr7MAaZIN9h9pw1Vq1T4uyI7qBKfhEzggYjy90vAAahKIEonKKPo PQraII6bvF6isYGGc1YnG9owpTV5JVabsIOGN1M+2kTsVITeQNCbKnPtvNG97J+3uvOTwFih 7zgbnziLFXOUIO4gsPa8eyg60YfijmPqDaxsAzYXiIx7m4Hzq+G3EbVfPyizUtNnnspZczXa QtZaH8HdBCv3argRlzLNEAbiS2tDFh20SMGdodugLJjr8e4K1noddyOssI+3Lq09NphM4BmI y5GIG65s4u7E/CylzHWBn9jLL+G+whq+StbUD75O/xPWFpDCgDBQwcB/ooJQRm+gMxoAAAAA SUVORK5CYII=</item> <item item-id="9">iVBORw0KGgoAAAANSUhEUgAAAQYAAAARCAYAAAA/kQKrAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BB1JREFUeF7tWguurCAM9W1rFuR6XA2bcTE+foVSQaCCmptOcpM7GT6nh3L60X+H/izyEQaE AWEAM2CEQT7CgDAgDGAGFqFDGBAGhAHKgAiD+IQwIAycGGgUBnWsy3KsagSDbi1dzhzLmAWL oPbtN32PEYyMXcPwux7uqPZj+/2Obdf/qnUCF6P8YjbOFoY5GDhzWrD0jLnCgO/aduELetxv 094SP43C0AP0aiwyYt+O3+KddsTy2vGxzlhReEB8RkBnr0Fs1rdfiwLm9AuO22LdF3ByMHDm tPDRM6aEgd41E4wvgoS9jxBQ9AOJHgi3x44WgwDIkHDOaP52xnC2Wa2UAzPGH7YWkZ9NHb74 +QJODgbOnNH8FzCc7loDVpRVBmEwTmUjLKiGGQQRl25iv7vxztliyrIq57B2rk1P0HcoIei6 m9vLRXyU/uDoFzDQUoSsj9KGqjB4O9gVDXAUbIVD77XBzyusF88Gyq+MzcYWkg5aNjefIurf N0YpON0vPGYuzpAZ4jMAX1HRT1vOuIyhcJ43+J2KG91PnDXXOY5ZBsoYMhHIOhWQAikqSlFw 6po4Jh5j2XN1biIwuV5DisE5pYl4+GBiBAypkf+dHn5VGEjG4YSR/JU8Kkm9cK3NtKG0Hua1 uKehdlY/5QG/YAdR3E/RHCiF/BUCk+cGpcl925XOs2+VdPQDuJnZOWSdaSlhIhZEHRxh8CZU jVBTMqay/iLbS6WJhVCVzTxQTXz1++XcfBNs3mVxzpZNzZk2FNcLSYjP4IKDpzZX59/y48l+ cQMbZDTJWZwuxY0mac1nmdgfx92IE/yI9BiiOoa0wyx4EobYpEj288KidGmw7b4Rpv8PQbdG sk2lC0IxVRgK5c5F87IoOkwbyiKGRRZHmjnCcC5brAOEHs4Uv2h02vIwyCi9X2aFgdnovjrP L+NmZgwFYTBpP673veXJJs5JgkInnXF/wbwSWCfDdW9NGKBkACUhGUzyFCNTlvBLCcYJZ2xZ cb+l14bCeqlgXAvD1Me/M/2CQb+bonQ2GhuqavWXn/aOsB9174WF2d+PTC+nb9kHcDOFIV9K WOtQ9zJ8x81EyCDy7yLsNluIguIuizvE8P6CLT9wlEYZSFKq4OfxuDlKG5xGzwge3Mi77BPc eD8D74FrWKYNIMpJEzhTuoHYJjYnPZ4+N20bPcsv2nYP/pOcZepTQRhPnNEMl1z2GoTsedYm we+5vWbjpnetFWu2+dg6WcZ9lYHz48qvIuXjSkqZ0jKN0bJpLT7UZGbTXm/jzj2uHGS/LPMq A/QFp1fBDN48/65KdpPqBetY67YVHXu9idvu/dYLTrdJlgXqDNCUn8zIlSbhES2zQVcH9eCI zKPtB3fnb/Um7vTxqbHh2Tcf+azJTGFAGHiQgf9fM2f+V9IKUAAAAABJRU5ErkJggg==</item> <item item-id="10">iVBORw0KGgoAAAANSUhEUgAAASgAAAARCAYAAABuBTHIAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BL1JREFUeF7tWtuBrCAM9bZlQdZjNTYzxXgJzyQERECX2WW+dnYwHk4enET/neqzzM9kYDIw GRiRAShQ8zMZmAxMBkZkYBkR1MQ0GZgMTAZ0dzdpmAxMBiYDozJQWKCOc1uWczt6b6PUbum6 HL6Mjc9+rst67p/e+/s2e8DRdho3f859tZwc27l0d34Pn76Bs8SHNVzVXFOC5c6aUgyl6+7c W1qrYmLdVeSFT2GBar1xy/VAzgKD/HSBVAlUnz8mUZa/VqAizoAHXKTfCsqW2JgFqo29Uh+X rmtDY85FEAvukPyaFi932poCVl+gHCl/SUHFnB0b5xDW2EBRxWwdVl6OgLMGQ801HQoAMVGK oXRdJ3xIsXsFBQEKKmVx1QsWwXfIfN4C6e9mvQlcp0IgyIPiWbRcs9/hb2dnN7a3nbVW7p7W NreftO3W2yr12Ve7F4XRScaojUM4uYKK9icQb9dUF0a8VyJrA5dE1Xn86Hd884S94FfrS+cP zBnYZtIadnwo/2i5rX7fK9r7V2KqAWc2To4Q4yU+TnOV8OfIuHmeKt/XxkIdx0GxoRZPOFV1 gPIWCMk9/ZtVHiTI8RrtCTXf4YnF7dIWQ2/MRwZbS4oNV1d4jqJy6ziEPShIUJCdfZ3cTkEl 9pc8HHihc4Ue2efXEhmL8VMfmAQHFYODPKgajzllD/skeU+oP5jrTqeg0euRujWB3iumWrDm 4iQcbCbBQstx744pf96zQlc/jTtxAFZBrsfqFD2dQUGiIsXhT01cEJC6MIortAahTbCb1AVA OckZEpWYVBh40khFyN03bv/cyU3akqiooZaucH9VPhLF1yq3TDl+Mr9BEmVbMK+uXKJRzi6v b9n40zHVgO06TrSOrH9AlI33euCv466HaoSA77SsoaibiTl2McmG5KHie0lnJb5/ysWGWAS7 DcZDtXBGMakioP72QujKYaT44VPrXoEymNxJYO0IRUjElduf6Kj7CiqpWIiSM60V5V0uqmkF hA8KfJo9U6DidpKqqEdiqiF5LuPEx1HlfDLnz5FxRwWkFWwmFxMcJwoU5LWdD+GZAwFsEtKf 2ORpkE1Wm/k6YPFsI1ug1CaEOQgOojALwAkWF68dDXSPDbWgpI1Lzady+2t1VOIEUbxseJaH W8/UDO2ieIG9uE1OK6j+rxEgrp6MqWqXHOrwDA+0aZygBwZYAd6+Fz4gbG4lY7zU+Au4uxWo eqxyi6c5QhN7/93OVUiy2P+xCeJHq6eQiCbxwkkaBvGJYToakLv2MZzMptjw4av/rrHgeY0w GJb2oN73MUN/rLbk/fkw6jkkxzMOUUVilQYYOXfhYCEPOoR23B0YhDMyPyxNlDvrnoqpUgys UPhTW5gXRpzx+ZNkK4Mj2RWUYP8J3DzWSnDCmp5YxSF5KZCn1qnRqXoCSD7g3JJHKE9B+kN2 49cMft/mSYuZ2l6heiiy1YnConsNgrsLVuk1g05cVpuRBrXwv1mfqim9eaGdGf7Kt+njp4lJ ci4T/Yatmx6Il9+414/j7oSVzYAHepM8HjaP+3Jgc+QNaoC3Ygym1DL6lrxykDwUE8LrHEPh S4H5Jtw5rPS1BNjtQAXqKyJhgpwMTAZeZOA/d5fVQUAHQlMAAAAASUVORK5CYII=</item> <item item-id="11">iVBORw0KGgoAAAANSUhEUgAAARsAAAARCAYAAADtwQjzAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BLZJREFUeF7tWlu26yAIzZ1WB5TxZDSZTAeTKyoKKoo2tjlr2a8+COKWxwb77zKvbb0WAguB hcBsBCDZrNdCYCGwEJiNwDZ7gaV/IbAQWAjYDmrBsBBYCCwEvoGAMtmc175t137ebZJWr1au Zl9Fx/u4XtvrOt7t/b2P17XdD0R74Z9KAHb75Y7/fR0vj9W5T8DijrP+hp2aAxnBauQZjS09 MlobanLmHF+H8Zb4UiabHkPvloUNbTDElpOdcfrx+HfOvSmSjU00IDu+2N3g3K8vwxLwoYlY 64j3m9an8Ql2jtgw8kwfMm1prQ0NOVvEsUj9mTaqVu1cMvoo/hez8f6XY3nuKbYg4x3IJKaX hg62vXuCxBPsHLFh5Jm74dPaoJAj7DcwG3AqW7UxE4EQVvE0GO1nJ++cDdkBOGZkIpulUf4z vEc9h9O9H0n7gmt63al+UTfK+4wTGAh8j1QuSyjEzpTZZPuLh9lso/yzw8mPYsBoaMSYsbCw L/I7XVzQF88bmVqCB+gA3QkVBiROc26WHpvfj4HW+iu+9oGdVf85o+9rzljGSjjPJ9udxq85 +7YvRPZD2qhCVbNOlbYZhDrZ3zzFZo5JZSx6Zh6SBkOql9N1HtSJLEscKeuh8wUTD+dZ2IMx CZIreosNSGwVhP1h7VfPbNJkhsm80oYx2kn3xc/GBSuwC+qwkW2EvUj66FmJa0IumTWfmu1r n1T6mv/E4uUSUmwR+laUzrNPC5eebbdQzBQmIzvmMxsIOsIEQtWiwU2qvmNCkWZHyu0Ns8Fs gEVFRYZUCvLU0UsJBdfNWyysnIziZwmKzCGU+3PFfFYAOt3FtqSGW+U3UR86SGA9GDQcy+bz CkcTRWb72ge2tf3H8rvxS5NqHIwb/nW7laaiHyUD4phxAz3ydDnc1iRDH7aed6DTtEmOyZiA Nu8D3WyBzBIZrRp9ycbZhJnY6ykklKJdtf11JZt+ZiMmMsa8XPvCz6OcOOXESIsBrYhzkk3e slmnCrO2Kb6mDARZrOI/wb90N5jZGrXzfLLdHbNNug0h2UCM+nkK7cXZIs5JQgVmtxc+wHwU WyejPX812ZjDLcwHaOKIPTINijwRHWRoee6kzWOtkjTPqe1vLrNhScQn+Z3OxGjbJ82iGokI 9OUtqsxspt68zfS14aA9TYGMF7bcf8iwnDKz7rVosvcxJ/q+VvkX7B5MNuU2yu6LTJjDZz9v YA7uv0umZG/LajxAxjgXLLGSxSG0MEgmw2Fs0WJldIkjHTCGz9YWOscoDD9LezD/G3EDb8qC Cvujw1ZpOnjngJjOBIqsj7InsD3FNBYPNvwvtMJYFBiWwoBY6/5tuVm+1l6ZFjGeUEv+g2yS zN2yeU2SQFomiCy+9SD8Xlprtt2pr2nsxLh3cfug/9mYUbS5yWIvOBDNyF+77yXXjUB+9d2t 4vEPsDZOslZZ1VW6bkJEtdav7S5dfd+0/2E1pWEkfLdyzTCkNz3IbwlvUvoQNfmtmGhYM2g7 dH28+461fml3Mv98FLPBfwrjLddz/zD2sbf8MQVpu5OYX2rLQjs8OER9FEKFvxg8yj7JmF/a za/iwcIHJZs/cXrLyIXAQmAQgf/z6Oz5nccGYwAAAABJRU5ErkJggg==</item> <item item-id="12">iVBORw0KGgoAAAANSUhEUgAAAMUAAAARCAYAAABtl2jJAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA A3JJREFUaEPtWW2SrDAI9F3LA3keT5PLzGF8+YAEEphojLP+YKq2ah2VkG6gIfPv8J/FPoaA IVAQCElhH0PAECgILAaGIWAIcAQsKSwiDIEKgZNJ4Y5tWY7NGX7zEQjYbkeC9nPs63rsH/+v 245lCPBZXM3w5S5as3z4Zsfjte4eeWuf7rI19r4PdB7nIYAhCaYlxZhr7VuzAvKOP7N86Nj5 7MeaC5M/eLrjsr17BYFADFdbt9XqG54B1fAJtEbJ+KvPG3yZ5cMJO0SZc1IEgvyZlP8rpMTr UNpiJpGKFq/T84m4JNnhenOJ/PhulCW4Bon67Cusg/eB9MamEAzwzFBXEcyFjYOfyTf8FP+X Zp9h3+Q+XVyxV7AE/BADXBsxrWQ7uriDX36vu9Ku/oqrM75IKStyjDHkSuyc4VHz4Woc9fdS 1IQohVDJIkEYEJgURIriPfg+bDqTTJ+JTKc+OT6P/bPPNecgMBWbapEkiYeBRgNOZopIJO27 +b5TwAUfaaLQQkH2m/dC7FEcmCzzXj+SeiYqRAx+wdWoQkkcEyxZcSyxcG21WXHEV0Xl5u1T qHwY2LRSUaUgFR2rLnJb2gEAId7wBJKSh1WOtQZfbF4DS386BKHYjogqSAO/Vsh0rdrL4oOq hMS3SXGrPfoBV6PY6xzT+enegcATcYScVjNFqUBZbgIyTVIoGQ5EuX2DlsOD4P9vCyJWDrBT DTp9Mq4rhVqZYwskB77cNpakkCs9LQi0oo0nRduORVLyjPIsV3025CckjuukoNcj69yNI76m khSl72aBzKppIiNXOXaiAsEKL0cyq959J8Oj22hLptkcAUt4R1CEjc5DRe6YWrazlK4iwR5P vu9JMd4+wf5gpnmGq1HcnS+EZFpDjut5kCrd5aWUNaBQyLHZX0Run+J7ZFLP13RwRuWA7yoZ +ESVAAc8ECnwck+RB/I8xOMt2kJpvfbMQZvMNkkRqoMGNhwHRasPEEoBYQcUQiuIhSFX/C+D dp86+sSTXJ3xhKpih+MGl7rbkGxpPtB5Dw8zSsxlLi/NbOKgfQYEe2YmAu2R7Ezrv7PF2jdt 2VqpledO2Xpia9KR7BPrmM0eAvWPd73n33a/PQVTPewmxQVbs2GwH+9mI3rXXt0C3bX3xveF 4+3XuMmPd4Nb9ov2a8gxR96CwH9j5ckQkWBuPgAAAABJRU5ErkJggg==</item> <item item-id="13">iVBORw0KGgoAAAANSUhEUgAAAgcAAAAYCAYAAABuvl5cAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CU1JREFUeF7tXeuVKycMnvSSNOEO0oj/biveZpxinF4cmAFGEgIEwzzIaM+559xd8xCfhPiQ AP/xNT+T/igCF0fgn9/f6a+fn+nPi8up4m1H4Dxd/zv9/n6mn5+/tw9CW1AEhkKAsX1LDvRH Ebg0Au/n9/m+tIQqXC8EeuratPV4fXjJUp/17L8XJtqOInAEAsT2pyP61D4UgXYEPt/XS5lB O34j1eyp6/f3+Xh9E9RgBuXzen457vB+5euNhKjKqgjUIABtX8lBDXJa9ngEdCd3POZn9dhR 1+/ng1348dASBKKjHGdBqf0qAk0IANtXctCEoFY6CgGZkz9KGu1nTwS66ZpLGXxe38c0mfNV hDSkymoea09Va9tXRcDOE2f7Sg6uqiSVywZ+v6/H86tJhTsYQy9dc9EA27YnBfHnMSkppyTu oBEd4x0RWG1fycEd9T/KmC2LLeSNRxmKyllAoJOu388pPrxqogMTiATEZSgZgGRCNacI3AmB 1faVHNxJ76ONlTj10cRXeSsQ6KbreNf/eT3QrQX6O5fOYElGxXC0qCIwKgLe9pUcjKrBO8jd bcG4A1iDj7Gnrsk5giw5SFxpVHIwuD2p+M0IKDlohk4rHoWAdeowHHxUv9rP8Qj01jWMBqTJ QfpsgXWQyTcSjodHe1QEDkPA275GDg6DXDuqRYA69dr6Wn4cBPrrGiz8iTMHqXcOLGr95RlH FyrpvRHwtr+NHMzXg8ApYHNVqPoGEGqjTSmW6eR3mMZRTPJT7/JdjD28Ya9HkX8MCLI2cXu4 mfudoOYxA4fFeoaiqemdZtsHja9tqhVq2XnW4APcYtwSJcrOq2AfAFN/8DH3euJQ5KAd81WZ kja8D231eSP6LwkupYkkaYPH9iz/34EcLIOO7g2XsEKf92nDXlOakou/7UPyIMoi2Oxs7LjE LGeZLKG4dUjEQda1SdqDeM0LlpzkVKniKoXBIxznkYM+dtk2P0YmBxVGRB4akpFn3H7VvEq9 c5AQ+VKRg6MfZYr6oz600edd0X9dHdsT/H8HcjCvpCByUOEYogHLF+94g/cy9+DT7KzlYFGd o6KL+fI7zVfK28yQAzv4PXfLjSrsV41xOhFJA/fhC7u/TXKdZtsHjW8TOFsrMzbeaNfyeVUn c4vfqOtBWrrgD6TNiMvF/cVYbPB5jXoWi19VcARsyYAOwI8/kOh2vfPOeb5f7ndQNkLgdqyB gZvfoQNl/w/qIydPQ1OAHIT2wQLr2zZvoeNd+foW+5xaoHfiubvTvq23fzEtDoPWORxsYMtu JiY78jZLBlu4g+3wEwc+6GSKbMAXgLZA9WV/T+g60d6sL5+OmYUlNmH/Bl7rgmKG97/N5+Kv XRjItpvGB6NeYf4CAp+x98ifFudIyRbgxoHaBaNnKwCn66IcLtLXbOzplURKDkL0YivmrP4S c8L6F+8LzfdAhNRu8MGCuejm3ryJCfUS/UVvjWzxeQX/BVSi2HL2uT9+MTlAIR+wE2cWm3CQ JzJGskh4QjE75nVBQWcE0Gdw4D6UlSIYi0MJiwOz04sXZNCWM/jFAHGoXr6Qz14NnztIOCp5 myVyYIMHkrxuIjeYS5mkbMCN0Q9tWdgtZgx5hPrM2ZR3OMk+5zBJ8ctzRBuFEW1bNDBEmdC5 ms/7jcl9xt5xV6U5gu0ztgWJD+AifVTXJTkWqeXzqgZQqQP2uWInSzPmztaBH1r05//u5zv1 hTD9VZiL81xdffCKG02hYd2kU3uU3Mf4pnQj81/3xjbHd/fFb7X9cCAxl2OblRzYo1Gal7wY OXAGEx3u4naefreBD/ctm0o+fYF2n5AJh27x4yfOm5BUSOyo6hwOcJZ2YUy86Cdvs0wO9sqH Jtul+Kf07neAzgkV5Qy7eU/OqC5AiL3Gt5OyI9p2y3D9fEAprWjupFNwoc9cHakt5MqxaUBG 1wLZ5fOqBlEjy1P2zYzdMLdU2EXTcEqS6EuKP5mLyyaGIwfUv8bkIL7Suc3nFf2CU9XtsU2Y 7L74rbaPyEH6EN5qDOj6Tws5oJGIqA3mwB1LDt4mtIa/kBWTmMR1JNbh4DRAncOJd1Lc/Wh5 m73IQX3kICkjifwgspZxVukxu93KzPzgDiFeuHp8GU8e+yvads1CRsv6nSBMA0L7xjtItqfc HJHaQjU5sIsjScd1n6tSXMEGSFSlA+ahH9IWJVLN5IBuvoCfjTZva2SSX4i2+Tzp4rZAcm9s OfPbF7/V9terjIzRPeHi63d5cGfcQg58GB6Flb1TWIwuLK7+JCmbMuC+i10QEqPkhNntyxfy mZ7j2wqJw5HyNhlyQE7UysJKIq+GCyVtAC7m8xZnjZBUOitrUxiLPDmwfW1OKQ9m2w2am50o JMthoRXYe9Rfto7QFhrIQaRrgezyeVWBqtjmOmKe0l83ckDTNgCPAjmIN43bfJ7Mfym2K1/E PnBX/IDt43cO4KEt5socFgruTE343t/3N9+i9wx3/y07BeUQIXDpAxPqWr5KlR549NcJYT+k PSQj2SnbvqzRc4cU0bsEJFIBMYhWJeIYyXkDSGqWw3aO9CTbzLe3vp8AZSzkQ6lDrfCJC1Ff Dn0u/+jugv49oxuPO9eekxG9D+HKh1RRwN70IT51mBnsELYtVRa1G7jDcjpCqT+YqqOROaat SD+kDvrcfwbnedkHxHp2RBvquiRHdq5KsYzLhQOh6KOdMUfnd/BV6hUrc8Yq6VtLmPORxOc7 9s9IN5EPxe3U+zzOfym2i6mlor0l/98PP2j7FY8gyfNw7dOyf82IZbEpirp+eedR1wYsXdXe AVdZ2keyU01z0p5kkDp3NKhtm5PqOLHGwCK0d2SDwjqdlbA0B3V9hhymzxwXFc1VodyitrqB bO6eGSKAfqycgrCcbKcqFDTjv0R43B3bPfEjti8nB+JQm9BIDitGcqxC4+LFK58HqBtWZXuz 7P/zR5BYAHdevIez7Qq7Kdo701axTp2V15UGuj5cjpyd7Yx5HUjVpbk8tf2bgBtYxlb1kFxS uKT/UmxFm59d8Yttv0gO+PBftW2eXMEaX+Lq3cmSybuHuXl5rVuU5NIUITWSfmDr/2HbOQ37 w1wkRZQ1ipY6e1jZVeSoHdtV5Y5D1nVfLOV9aC0evnwP/3VnbI/Hr0gOWk1B6ykCioAioAgo AorAmAj8B3PdRvQlK6yxAAAAAElFTkSuQmCC</item> <item item-id="14">iVBORw0KGgoAAAANSUhEUgAAAkYAAAAYCAYAAAAfxjLCAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CmJJREFUeF7tXeuVKycMdnpJmnAHacR/txVvM04xTi++wAAjhACJYTyDrT0n52Tv8hCf9Akh HvPXy/xc9EcRmBCB/35/L//8/Fz+nlB2FVmGwHG6/v/y+/u8/Pz8KxNYSysCH4bA53KQ4LgN jPRHEZgOgcftdXtMJ7UK3IPASF2btq73Jy1F6W8j++8Zv9ZRBI5GYCQHzshBNL7L0Xhr/4qA HIHn637XqEiO24w1Rur68bpd769CWOTAed5vLypuetzr9WZEVmVWBHgIfAcHIcc1MOJZhpY6 EwIjVy9nGpfKkiMwUNeP25UMetJOC8HTQDlUzYrAVAgMtP1TcxCMUwOjqSxUhbUI8MilWH0C AsN0TaXvn/fX9XIxZyxRwFQqq3u3n2BSOgYhAl/DQesPPMc1MBIaiRY/GgGT1r3eXrqRdrQe 3tH/KF1TWSDbdgiI8r/nk0F7G+4diGgfisB7EfgmDq4c18DovVamvW1FwEb1jXMiW7vQ+idB YJCuH7dLflDfZIUuIAOUl8GBEAykToKPiqEI7I3AV3Fw5bgGRnsblrY/FgE0oY1tXFs7FQLD dJ1ne573a3I7Df9ObR+QAdapAFNhFIHBCHwZBwPHNTAabEfa3M4IDCPqznJq89sRGKlrdG6o GhgVrhNrYLRdpdrCZAh8GQc1MJrMPlXcBQE7ocEtEMXlcxEYrWuYBSoHRuWzRNZpFt9A+lw1 6Mi+GIFv42DguGaMvtjoZxw6ntBmHIPKzENgvK5B0FM4Y1R6xygE5RoY8XSnpT4DgW/jYBjv tsDIXXcFNzvM1VfxjdakDY4xGefmrtii/8gDubYs/wYTPzq2h7QIGYjB89usjR32B68Wf99N GRpPcDB2ZOoXq+QQe3dT8nqDas/xcegnLrPwVewXNmQHq5yL+AFMwwHT2ou8Xp45AqN+zFf1 ctoI/rXXHx7pv6SckpYXE2XHChxd0t3L56/SXAXaPzEHBwRGIUDhPJpW0nlvGwv4q7P1yki8 r22bL5szABtssT04ksEqG00A8jZLxrm+xmtTfRcYBLrJmh/87ci+/ZoGD28dFxj12iqEpbeN mZ2ywCzQQ3Jyp+y3Wrk8Lr1jVBB5/OpZgA0uOvDRPZYUWX/Yv3b6w8P8l5RT0vIsVM9XaCMH YcY1m6uo0Z6MgwMCI7eEAhmjTh13tYEDIy8LCBh6DkrKHDEdnOEVpaxNBoaUI5kui8AYZyxC ONwseAVvbTRW/ZKes7Jdtopa6WrjTePbBM7WygSnO+16OOf80Hp8ylZUCksltDDcp5e11Vw3 ORYb/GGnnreNWsopaflt0h1TexwHnfw7BL17c5A+fO2zHi5z4oIMuG3lsxIxwjO/QydP/j+o n0xmOPUKMjuxfXDQMbRtvmO0ZGVoosZsD/X2QmjjEV67zdP7MoeayrBkh/IMFbtNhnzR2LJt w8YbKx5TdjKMWJ3Grcukb2gfWIf294L+MztbOnQrjLBF6oRFdmL/DbxOCsWM37kxf2d/Rm0a ezfYhG91ScbnfJPPhEZOgwVNhQvFoLBYp2ULoN/MLgg9B8eKjZbBEzbnhLMP1ykPw5zUX4ET 1vcE/2hsJR5xiH6ZwUXPPbe4i/UK/ZE+aPWpMn/Y8F9ATyOxLXEq90PePykHFyAYHCzPVULS oeJ7czAPjJLoDuxJEpNqTJdlpEOTYdjicRPQOnE6wwsOL/kbJEhI1VKEJva0gQPNHSNowxN6 IVi6BSVzqAVnjhTJa5Mnn48eyJsxPIMhcEsCEcJoS3bhg5ZVjTaosXgSwTTUcc3OgrMt9unC p+aHQFnUm8reWSMiCqVn7J6PR7rYqXAhbaxln+kiYZlYoC1w/AJ1DgLruiVH8Nt73FzkTt6j MPe2DnzUor/w7yEIwf4Rbtc2uOi4uvrl1VfhLd9UN+XtbLywyU2y5A95/msktgVOwUX1kIzH KJlbtn8uDtbmql5vlpy1rDbSi/nK8Xj4urZ/7ow5rhBMp2E2bGaMvPTJ9gHam87aSA81L4kD vGVXyBh5J0KOJWsjd8S8ICZoBMhgJ/7Ca8zsNhny1YKCvc4/FNvF8pZsAa4w3EI0fVgvs++Y xQlBK9YTSGn3M6wqx/nsvX+gYfWbbPGybC2L8NG2OV48URlDxN2azfiAOk0QEbpmyM7mnAhW I8vNZtHbP8Mwt8sAn0VNt+gRJzq5iCeaBLfMZ6fZoPwQ+jZ/2PQLHvaR2Nbn1mV3Ai+e29rP SwyTuWb7XBt4EweHLWATOPfm4Np+EhiVDx6vRp9cZ+0JjHAGKmuDOEjMCIyW4GkhLz8wSre+ ZA41j9CpGyvsNkmjT+V73MqHrHmORZ4xKsqPsoBJ8FohXxkPvyJyMyOM+PMAdsRHDet6OZu9 97hjWCesNuF2OLrd2LqoULNPri2InTLxwWAGT9icE8EKFoSsegMwj/2gtnAQyZ0U0SLFNe/9 ZhYEbAmMfEAn8Yc8/xUAGYktVmbJD7GUXik0QOaJOFibq/qR3JuDa/vrdX2CXDe71xxt0UfQ 2Y0o72CZGYN4biTZNglOepmQIqHCCXlGYLRE5Us7pGPEARmR5ZE5VJy1orYCBA8SNuSzssXV tCmb6MY7ou4zRDVLLdoFdCBOgDVrJnTUdiwp9vXAyPa1eaxT2XuvK3mYcycrh2NAyeBC1mO1 DtMWOgKjTNcM2WU8ZmLLtrmBmJsAiNTfsMDI6K303cFGYJQvorf5Q+5W2jB7Lqi97IeYdpIV G2gPk3CwNVf1Isn3+52YA46n7xjBw6jEFfDUeGH2wWyPhHd9zJfPb/GNH7tCBeWSYMhvmZkv XNtMT0xZwhVMdgAXn2Ehtt3CKggTPlkZESlSOPZs1kWOHx0KhoHcsvLygV6xTdweXrml8iWH AWH70cLeePga2gW52oR2UdA/ZWeZftZnCeL418jQTBg2s7TxZwp7546RsKnkvBc419fiQqgH edCq07IFhl/I9ezInOq6JUeVx1ws83LxoG7yp50xL+nPL4SW50XMZYOiv235YjqDHC63rJdw wMWIcAEi8a9pO3J/SPmvvbEtRkZ+PgJzC/uj1TvL3LL9E3CwPVedl4OQ44IHHvn7e/1DH1cz W4FkWSd5X7RzlLcTk3DhlkMI5lrbGaWuDrnu2j/uITXN7SiY0BzSZtLIXPZO2lQJFCYXEntn 1hmvBxsFAF0fIYfpsxaHs/wCU25WW8NANveOzQ3f1OzNkQRGOpaX4WEKWvFfLDxOhu1uMjPH yURdVuzTOYg4zg+M2KlkGd77la4c8hZ3mh/2FjeBJ93kgUrzx16jd/U+/IFHEuydA5fp7F1g o01bI9pq1tnGiHptoOu3y1Gzs50x3xNS53LyixDJNki1f+Rfe2Ut+q8Zsd1Z5rfbPlTqJ3Mw 53gzMKLT270seHc9a6iFK+TvFqXpZELqVhLkwLM4pxrQ8cJQW3PxMzLlF9HntncO7OEQqOTG TU8djizSMmeR41PkzrfSZJ88Cf5VikcoP8J/zWgTPTL31OnVS63eWeSQjk0mdzMwknav5RUB RUARUAQUAUVAEZgVgT84YEOAfQuFmQAAAABJRU5ErkJggg==</item> <item item-id="15">iVBORw0KGgoAAAANSUhEUgAAAfIAAAAYCAYAAAABOX+AAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CTVJREFUeF7tXe2V6ygMzfay20Q62Eb8d1rJNJMtZraXPMAGC0mAZJMJtjXnvHPeTLAsroSu xFf+ermfm/0YAoMi8N/39+2fr6/b34PqZ2r1Q+Bztv7/9v39c/v6+rdfZ0ySIfA2BBh/9URu P4bAkAg8p9f0HFIzU6o3Aj1t7WTdHz+8hqXPer6/NzYmzxDACCB/vRlChsCYCPy8Hg9j8TFt 01urnrZ+vqb741Wg8aD4z2N6cTz/fNSf691rk2cI7EEA+qsR+R4k7dn3IWAV0vuwHU1yR1s/ pztL0nmXC2TfUY/RIDZ9TogA8Fcj8hPa9wxdkgXkM/TU+tDN1ty0+c/jdb/d3D4gRPCltraW Yw55FAS8by/+akR+FKNdSk831XqfXjaxfgWj97I1V2V72ZHA6ec0gWhPy1/BItbHoyCw+qsR +VFsdiU9fabZWOe8Ehyn7msnWz+nG90Y6aruG6iwaRtM3JD4T426de4UCKz+akR+CoOerBMo AJ+sd9YdiEA3W9Nq+udxz3av49+5KX02ITCLGQKDIhD91Yh8UANdWq1uwf3SKB6j8z1tjda9 q0ReOIZmRH4MtzEtZwSMyM0ThkXAB2A4JTqsoqbYbgR62xpW2WUiL6+F+8BYPIO+u7cmwBDo i0D0V6vI++Jq0joggANwB5EmYlAE+tsakHRhjbx0jtxD1F+fQYE3tU6BQPTXfUQejnaAXaHu mIf69EYmQ4dtyObD0RL3z7+YnAN1g/om3/0srw78JoPlvfH9UQfUBZnMXF6O4fV20vKYgY1I Padjsct9zKd/qX+6ISZs7cfZhrG/EOeW2ZfquEr+ATCNm+pqt74disi3Y74aVSIjxtCtMe+I 8UuCS2toSGTw2GrifwcinxUl5zNb/cs+3y7DTyncIEn7wZsFEy9bcjnErFBKCsSZyOzYqTl5 v1YmkgdxCuQiT0hUJhilMUjCPkfk2/0RB0f9uDgykSucCCXbskQ3l68aq6Vz5AWVh6rIf/uC GrYQgjF0Y8wbMX6Njq0w/ncg8sB+oCJXDGaipJxwF9bl3wuMs2XTii6oYOKdf8fra3KZFSL3 nX5nFbrRdP0eYwIESajAeeNGVbVLr0/5tLtUNJ2df2f/doGz92HGxzf6tXxc6XTeEjd0b5C2 bsQDqRhxO/o+isWOmLfRzmL1VQ2PgC3qUAE/frPbUlWGqepwjjdWKKD6TRmuqxBh0GP/D57P AjOepgFEnuQDUoyy3R3JXre7u+Qhq8axEbmzqVHGM970RKcCdcEhd4a5SqAJiVxmy7kaZ1wX 3MQTChgzYvvYAPoAtpP/vWDjgrx5JgUshwQCQ38DNxZBNdPdwu5z8TXsB/HpsDIU7/rW9A/O JqVxC5Lsir+T2NccIy1fgMk99gvGzl4BztZNPZbZrs3OXo76UiLPlvXinQcCvbk3U1mFMeHj yxIDJ+craVkzxV7BWFzGXig40nOF95G7HPbEPPkZfcOW9RJwudH6OSXybPoDzO8zBJE2ixAH QoE9TgeHYLqSQAjmcRBmn0Fjx6lx6pzh+cqFIZQ8gYzludlZ8ulqOemGCEQJiMFfLrNF5OtR g3ryWVjLKqzhB1kl2y99XE0VEzomwYN2rPlSFvQi/ng9qdO62oF8WlVQZI3zfSA/z2eegFf8 PX9na4zk/rkubcHliIZfLIVBfQ2wpcestXxcaZCVkk0vzL1unKz491hs4BioxXyNvStueBkp H4Pl5S2ciFN8S7aRJUnXxraWm/IzJLNt02a32tpQMEwiTgd0fFuzIl+MTDYQcZVdJJR8E1l4 FZruzPXhHYkcISFTppg8tMEBBDZPYoXEQh5w2kT+rvW7olyMWcneKRmY7drUM1XJJSIH08ya OIzaHsmnd3QznCUNM1XwK70E/k7eWXtG6gu1diyRM7YW6C4fVxpknS6T7BvQumHuqZyzH8ZK ij8ai3PBwRE5jquUyOkxvH0xrxkXFlNdHtuCy1L8Vn/NiLy8e3Q1YHZ0YwuR4wqfyGA2dWEn RhV+6rdrN7lgxjoMGxzyqXBdcKAVCnf+VC6zF5HrK/KijhhnBZHzvrRUASE7g5k3Tap6fJFG HfvBfFrDN2zbWGEt40fg7zIiX8aI1BfURO6JDC1JCXSXjysNsKBIET3WAfP0HiSrG5HjAgnE V1JgrcuNPOnui3lSIp8huTa2nPtR/FZ/XY+fMQPQk+LqZ/P6dFZ5biHyOCWN15XCq2ZHSYQY N6+RgR2zWEj663QsO8hxAsFU0brggImXktGcHEsvN2GIHO2slE1NiSJQ3qhoe0i8oXRY7a+s EGKCtRJ8ncjpUcKe/Uqp/1A+vaGHIeA9wDhNpCjwd57I0UkMOBMHl2dKvrCByImtBbrLx5UC VfFO5o6Yl+zXjcgry1QNIqfJ+L6YJ4tfhi3kXDjVTvAD/pqfI4cbg5jjTrkgWPm5O43jhiX3 rVVT2rzkiRa0y8h7mUJ30z7z1wzCSqK0GSqv1rONU1Bf76B4qnsJDmmjFe4f7DtZqECEhtbH YeIxy4dVDOxLNFFdHq9jY/0OBz9F/JoT4CVRg7aYM5HFPvC4H7R9wcacPGKDNTFMtkzYu3eI d7RVOnswn66bDfsNrFyQn7X8PVY80Ndbz7R8QTD2qZ2XBB7auqVHdaxqHR/UKnGzYSbizZhn G4rB3qEwJKNN3ebOYkxtxVt+hm560ric2YbE0FyOPuZx8cuwnV2tNIsK+Y7ilzbHOgmKC2Hk 60fbh1K/J0n2wlT12rdB4LTPcu1V8oY6vtGj9wIZbsc1nBQSPKFsciyfTmkgSzio60J/z3xQ +IwSZFlzaOtP6OHeWcsbRWNVqLdIlgw1QSt39siRdvbj9RTs+JdV0AIVQr6ZfxMdfEqEx9Wx xfghf5UTuXjaSWjYtzfz2V5hU5363e31a51IpbzgxCe/EIYF8M1EezifVvhNM/AxsprP6Lxc 1xrY+tf1qPnZmzHXgaRuza1L+78JeNyzr+pSraJyxfhl2IoKFYIf9dcmkfNTYWp/+tAD3lE8 AYLjG4cjxPw4xoeAHPO13FR9ujK3fMnQsX1aYoot/r7lGYku2jaj6HEWvem0re5LYWIM1eKR 5o9U12TzbxnVJ34DW1n8bxL5VvPZc4aAIWAIGAKGgCHwfgT+ADbjQ2Ma8frAAAAAAElFTkSu QmCC</item> <item item-id="16">iVBORw0KGgoAAAANSUhEUgAAAjQAAAAYCAYAAADtemdnAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CmpJREFUeF7tXeGR6ygMzvVy10Q6uEbyd1vJNpMrJtdLnsEGCyFAwnICu3ozN3O7i4X4pE8I AfZfr+Xfxf4ZApMi8N/39+Wfr6/L35Pqb2rzEficrf+/fH8/L19f//KVtZaGwA9EYCwOErx0 CY39MwSmROBxe90eU2puSksR0LT1Iut6f9IalP6m2b907NbeEBgBAU0OaHEQ6XQZASfTwRCQ I/B83e+Wzchxm/EJTVs/Xrfr/VVIZzw4z/vtReU7j3v9uRmRNZ0NAR4C43IQ8tISGp41rdVo CGiuFkYbm+mTIqBo68ftSiYrqEM66VHUw0xsCEyFgKLvq3MQ6GYJzVReZcoGBHikMLx+AgJq tqbK3M/763q5LOcIUaJTamt7nD/BpWwMQgSG5qDj8MZLS2iEhrXmIyCwlD+vt5dtOI1gi7N1 0LI1tdXkZIdEJv97HsTb21Vno2HyDYH3IzA6B3deWkLzfu+wHo8i4DLyxjmIo13Y84MgoGTr x+2SHyBfqjAXUHHJ2+AEBiZAg+BjahgCZyMwPAd3XlpCc7YzmHx9BNBEpN+BSRwGATVb59WV 5/2a3HbCP1NldjIxGgYsU8QQOAGBCTgYeGkJzQn2N5EnI6BGsJP1NPHHEdC0NToXU01oCtdK LaE5blKTMBkCE3DQEprJfMrU3RFwExHcKjBsfi4C2raGVZdyQlM+K+MCZ/EdNj/XDDayX4zA DBwMvLQKzS921FmHjieiWcdhercR0Lc1SFYKZ2hK76Fx2urr08bAWhgCn0RA3+f1ORh0PJbQ +CuP4JbAcv1RfKsxkcEx2wKGv2aZ/0evnFx7/o0YfjbqDiIRehAA8GXWxg/7g1dMf9/NCxpP cGBTs0SKTfIRn/dT6X4j58zxcSgobrNyVhwbtgSipxpX5VzED2AaDj7W3mA6VULTj/luXo6M EF974+En45eUU9L2YqKc+ADHlnT38vmrNFcB+cocVEhoQmLBeVFVyU79MrLSrwPIJTlJ1HTy +fp5w2Uy2klG7HLTAaogl1lyqv3tpW7sF3jLx0+y/KTtRNacJxq8POlzCU2/v+JJInvvSRO5 mYNpc3AAnvRzFvJgulZR2DwuvYemoLL+alWADW6q+LIzlhZZfzi+rhOZOB5+LH5JOSVtz0J1 vEbIzlIOwgpnNldRo1XgoEJC45croELTaZdOGeRetk8o9gSm5wCfzHiIwH4Vne+xy2QycKQC wHSrdsY4YxMiUGbLffCuhMYqW9Jz1rbTXxM5XTLeNL5D4Bx9GPNpkdfp1+qc24bWE1OOolJY 4qTJwzmdAKm5bXIsDsTDTjsfG7aUU9L2x7T7zNN6HPT6n5CsUhykDwWHKoerUvgKANze2SoA MZtafoaBmfx/8HwyAeHyJKiiRPkgMQiyl2+suJWXE0Ufzlv781tP1N35IOcR3g6al8FlgTA1 /royzCtCbJkM/aKTZO9habwjY8O1p+zv+8x8I9AN+gi2o/u54AMFeT6jD9uJXlnkK+534M2Q kPTxmx7L39mfeZrJ58O3hCTj8zFlq1hEXoPFSIULxWSu+EzLF+AiCPsFYecQELHTMnjC5pxw 1uAmNGqYk/YrcMLFnhAjF1+JxwFibGZwceNejKE+nhX6I2PQHlNl8bARv2BqpeXPLqwVOJXH oVWBrhjzSzlYnquEpEPNeQlNkkmB/TZiIowlpYwoaAIL2yBE5SRuDSV/g04dypk0CemEZq+Q 5AENyNmIuBIu3aqRBcJCEEYG4Mnk6ReSC+q8EC/YFva6a1ttJd/Yko0w36xBwOFJJMLQzjVf C0Gy2KcPK80PDLIoM5nPs8aUNUrPkD0fj3ShUuFCKqrln2lyn/sCJzZQ+/zY1i09Vq15nJMi yp10tTDffB3EqNV+4fchecAxEm6NNrjoubovRHbc8PZqapvyti9ekOQYl2zDi1+a2BbsDxfD KhUGLZ1bvj8WB2tzlZR5e3uKg/vv4qHg2t6wd8CYjS+ghhmsWaHZ1EhK7GjfNZORHrRdF+n5 1larQkOOJ5OTB1BZIAQO5Cbswttr2TIZ+tUm87P294tysb4lf1hnmLhibOoZqyYh2cR2AqXf fmZUb6yM6PO9Qw2rzSQJZvlalpmjLWa88KEqdIi/NZ/ZEuG0IEPYmqE7m3MiUBddbrwvbqth 7tL3rWqZLmIQJzq5mBw2x4lgFrfT6ku+qDoWD5txYbOVJrZV82dxSOQsSWM1nWu+z/WBN3FQ beGZIElxcP9dktCUbxPsjppcaexJaHDFJ5NBHG5lJjSwxMlPaNItIlkgzDNiqnLClkk6a6rf 41Y+/MsLCPIKTVF/VHlLEs8Kacp4bCsQP6PBVU2eeGp8LK1ul/F8vj+c7iv6WJFk+FrWX+0Z ri+Ig6mb0NE2LkN3NudEoILFHOu5sKKG2/XohiL70gKShZM/7mSGFhd+GFtMXrd6QXw5ktBs iZgkHvLiVwBeE1tszFIcYhm90khB54k4WJur+pGkOLj/br+2TRDi5s6iRP/ZbhFlt2s2gjJX 5/FMRLK1EEi+bxn5bsNpa0ZCE/asA4HIgIaTKaKqIguE+AAVVTIXlL8b+jnd4up1aZvYZwsg 3Wdkah5W9A1I/NVesUolDLBuLCn29YQm+kY/M/LKH8Y0rNAG8fm+oT6WcxU7j2NywOACndCg Wyywcgu3LUu+0JHQZLZm6C7jMRNZ9q0iRcyXxIW0n1pCg7f0ABaNhCZfAB+Lh9wtJzV/Lpi9 HIeYfpI1U/SHqu8z4/EbONiaq3qRJOM+4GX6Hhp4QJK4Bpw6HFzpL99ECe9kWb6CfIvvZ3HZ PmiXJDHb1tLytdsrXBnA1UJ2KBSfzyC2pwJSTg7eAkpWImg1siVQ6YFUCDtyFnRYNa5EIoZb kgYxza6Uo2vmFf2SQ2oeL3z4+I2HgrNVXLBDWN1B3yj4AOVr2fj36+lx/HtGtwR6he9tT+Hz XPpjH/VOnb63KdkuhvzBlT9CVos/5Eof8r8dG3I7+xJCauuWHkXOcXGk28UDocmfT8a8ZL9t AbNeT18OwRdjbgtzumJ7e+RxO7FNFl9TOfJ4SMWvs7EtZjTbnAT4wf4Y7sk6t3x/AA6256p+ HlIchL8TvFiPv3/cr67uk1nGT1R6pD3SQU0qZW+fyDui30euPfaPW+XJ5bYNLCKqyEyEzOfz PoUJNzdqgDB9Tc0/jxoH2pqp+9EuU1eo35w7DXPVQVDClrusS/KCx3pllHp5FRXmACrxa0Zs T9P5E74fTDgiBxc84LqWn9Cwy61MB35Ls8oBZHH/uJwqFoAeIOT1Oqt/7oe/WI+E++SEYzqf F/ho09cU/fMoVfzzwNZN3VU6BEJqfnYy5tpDwVEIfXHcIw23tqv9o/jaq2sxfs2I7ck6v933 oVFH42DOy2ZCQ5eAez33E885BytcJf6EOsU+4daAJDmBZ02GGtDnlaG2sOInM8pvkJ7f51vQ 9/hazzMtPXr+PooeUt1H1TvfcpJ9fDPEVykecdkv+jQN3cuo2NYw6dG555leu2jrfoYeucxm QvMeNawXQ8AQMAQMAUPAEDAE+hH4A56dTCWccaCLAAAAAElFTkSuQmCC</item> <item item-id="17">iVBORw0KGgoAAAANSUhEUgAAAasAAAAYCAYAAABEONICAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA B35JREFUeF7tXeuVnDoMJr3cNDEdpBH+biuzzZBi5vZC8AvktyQ0AyzanJyTzdhG/vSWZebX vPwM+qMI7EDg7/f38Pvra/hvxxo69RgEjuPd/8P392v4+vpzzMYPfKpijgG/IB/GWemPIsBG YBrncWLP1olHIiDJu2Wtx/NV3k3tM8nnH4kj5dmSe/7pmCdYDRScdawiECPwmp9P9VTXlApJ 3k3z+HjOFVdl4Xk9x7nky6Zne941sa1RrZhT+QnlQ50VFT0dvyEgGSUqrp9FQJB30/goOqJ4 QxWHJkjHZwFkPE1wr7fBHGCmzoohczrFIYBTGEXrjAiI8a5Uino958cwLGfhiROrjb1JHVkx Z2iCkSUvH+qsGPjpFFvYmZ+PcdYi4BWlQYp3pWzJrB2cVP55brD7JcQrIpzTrJjz+LjJhzor HoI6y0Q8nXMKBemkCAjxbhqHvLlmyZ4GkCnlY1LnBJ3bSfGSIEsxZ6K4yYc6KyaEt5+WGKXb 43ElAMR4l2dFr+cj6gpMfy+VwopO70p4YmhVzDEoFccE+VBnxYbw5hPFlO/mOB6xfUneJedQ TWdVabVWZ0UUgpthrs6KKB86PEbAGCVY7lF8roOANO9gtlR3VvWzKWOMqne0rgNrk1LFnM/I IB+aWfExvPXM1CjdGoyLbV6ed8ARVc6savesDHTy9JyPIfJ7vA/mATsBZ7WAtrSpSnafGk/a jtrNM/GdaHJRjTnsMy25aVvuXTqaNiNQxhQclkuWmsqVbAG5+yS90gaUr3dcfWjOW/kNMA1N Ba03LVzKWX0S85qtAXJ0C8y3YEbAWckroWl9HarOyAgM5hKio8sqmHEuAt4URofWocJuOHu3 BO9ApVH7yHrggt7xzkpix1d2VoT9J5dROc6KpEe1e1YVkuWzDgI27xq6E/OmrSnR/IMxF8ys ZLn9Wl6/Mi1/atka5zCWo5zdXZWc09uziS5VbxzgIr3V5xf3Cu6SdKLpNxJKWPpq9BK2tg5N +Gb+nymnb9EjS45sZYaDkuwcOcx9xC0eCF8J86TBwjmH7cZ58rs1zCabCf8PMpX1s8BuMAZm QK01oGL5d81lmYtLk/K7PWHdKdyazwWfpGSI9VYByu4Zde6M+OiHneQZI2P5lGR13rln5cke 5pX1LPbhOZZYWJLwvAc3y6Gir+/yWj7vvzbweLmj0bvtdM00IC+wsgMB687p6ZPXi6J+FvgW 9CgVwi4dvkrBFt66O8AazjtiXrc1+9zrxzG3YuqrXESdybsBU6dTMnShzGWNHHReoSwXRxTO 6JnSGFQ4Xypb1wCgQwOXOcGSsoB1veNwgMTlOLyzwq1nKd7VhpsYkeAYWuXKKJODmScT89p6 MCCoPtMC0H15KUqdziB3KEIjlxydmb6maXHnBNlZl+rN6fE2CSAz/fR8ys6UU9716HAE4/WI Aij2UnB8Tn0XzFu2hoJyPPbTmAc53Owynn+lS8FVowEjN79lOLb27xDBheyqtb5fNorovQGH La3F2nYls4MBIEnJEOu1DPW76u/VdZl869K5Zl1BwNLSrNDrY5j02ywbI1sIueMofZDVqOUa JTvJ01pzsNg091gqqRd4h6CdpEdoUBdaRtyb1++IuVhQGPHjAMxtfO8qNjSd2WjdGiywitFy Qmm2hDUoLnxYvm4i/pIBqxyg1IZ3VnEDBknJikobrzeN9UaKrhNwMSroKgQlt0ZmVd0DE/M6 Jj7Ktt4eRrO50RN5Mefhcoe2qoWBISPx8oCQnWyR1hwsb8nOqvASYgTtJD1Cw7pgSCot3gvz lq1BQ5wNPADzlQYq/zZaQTdgYoygoqANCjR01pVuzqYT4ZbvYcQ0FZXFrpsc/CdnSSQl66xn 1lp1axk7Jg4WWwsmC1oBP/dsJuaV9WKs2s7K8JdkZ4qbPlbuyHwoBFar00bIYtlZ1eQXyVuG s8p4h6CdpEdYYNEyFAezd8C8Z2uwEOe+Cqu3gpgnyQiaf0A+otb1qAy3tI+H1/w/1rtFJoIE WcHy1u0xfBYchBd6d0AfMhCYSTTWiM6akuzDrG/WTpsaoufBZ661xaRZALIuMQZr1giznS2L ysuUaQv9BxssIFZkzH3ZBTZYhPUyPLdmjnX/m7cW+fLFY+QOV3rKggHvrFxDkv8b8OjJYhpY dOTNJeFb41BRn6AOWh5C/XR7zPnms3vYAdOjHcrK/ghli7OLX75Y0Mvo3Dtt8Crrq3sITcfP gnnf1rBd1Vz+wss3Y87k36W/fDHLXLLyBZ2JEfP2rMdsCaZTfKIZSxdm7dvMT0TlblJQ32iL lB0xedu7K8g7JO17HxnNX57Z6hhVzEXRdosdhXltKy25S2g94aXgHoNMBAAyml1KVrgPwV3P zvvhl4KLrMEf1vY4e87PCzLCUTxnKeK7at54rI0iHwcA8I4r92yaW3KjmLNhbU48EHOyzuS0 XtBZBaWvtMTv4jJo4SU5nritdhcJP21yqay4ltDwbyI5Pywc2eHMeQcSZ6GDujcO3Zw5VLow 489CB4ZWOEaSbtpaF3VWVIB1vCKgCCgCisCVEfgH/pk3ufINNx4AAAAASUVORK5CYII=</item> <item item-id="18">iVBORw0KGgoAAAANSUhEUgAAAscAAAAdCAYAAABGzMFOAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CwVJREFUeF7tXdu1KycMdXpJmnAHacS/pxWfZpxinF58BxgYAQIEwzwY77NWPnLNQ+wthBCC +esz/d3wBwSAABC4EAL//f7e/vn5uf29+5j+v/3+vm8/P//u3vOoHYKrcZgDV+CqjMBFbKBy jvEHBC6NwOsxbQAfn9elB4nBOQQmvh+9yJ7auj/fPLip33r2f3Vae2IFrrbVFnC1Lb49WwdX AjRfn8ftllwrboIWUAQIDIvA63H73Lp5SsPC8EWCvz/PZzfP+PO4Pz8J11hj+n4+Ppzv/Hrm 630RIZmhgqtx9ABcgSsegdFtoPIRuAAInONxNB6SViLwft77RRAr+0bxgxDoGDF5Pe6s4+uP bIo+cA50RzkOQnL7bjtiBK42pgtcbQxwx+bBVTWYylcIHWQ4x9UwosIQCLyfnzsixkNQ1VNI mZMk6JE7olc6NR3D3W6B05wqC/3LAg2uBHp4kiLg6iRECMQAVwKQmCIhbnCO23BErVMjMB0B 3pFjfGqKNhGuF+9cNFi1bZ3i+Pd4QUpElDcZ94iNgqtxWANX4EohcHEbqIIf5BQQzvE4Wg9J pQhMSv5IXaKStoFy4yEQGLfWAagctCjoqy51kn+My4TOMF1IWiW5cD1wNQ654ApcKQS+wAbS IAec43HUHpIKEUhdEBBWR7FREQiMd/sw4qhvmJMW/j93lMk62e1CXasmuBqHT3AFrlTcOMjL vaQNJClycI7HUXtIKkKg1xGgqDMUOhMC3RZxEyWhFzSyC0PiCTE4xxnlAFdnmjl5WcAVuCo5 x5exgUtgBM7xOGoPSUUITMqNi1AipK5WSDmwPZ/to9HgtHOczi1OPRF0NdxbxgOuWlA7pg64 Ogb3ll7BVQtqtM4SXINzvBZL1D8XAsg3PhcfO0rDPcezrnvi+Cby7XIpPP3lWTeaM9Xujw24 2opfcLUVsv3bBVfrMbVBkQ7Ocf4rI2VRTf3pk4T+f+zj+6qs/BWCfrsotZuw8knePi2PWsvG PQtVrpot4R/lfuGN+dxXsuht255HhSwja+eFapRc6tpc3pWKF1XvMf46mVrne7aew51wYS8o ZXUtztGrG82epUfgSmCDwdUmStMyr4rrG7g6DVdWkGQa2FdwtdBhAx4dnOMeHBvDt5yGz4bQ Ox5XBlzumLrJ2eGInUaH9BfXCl/NKiJCopsthifZ/vwOqzdk/W/yDUVR9jMWoI+eZx9AH83Z HE3eRuXo9Gh9y1yqshOpd44Tw+4fxWnEt2e1g7iqtsHgSufNd1j+9EWsqnSl2vUNXB3HlbUN nO/A2Y0v4Mp+POykzrEKmvlvzrVcbqme1JJFpLezWYg+SURyO7/pk7VPwTNUNW2ev2ywsSo6 x/NGoSPu22FELhcOIW8LEuHGuKWNuU5jdH0TOzGJ1GKzVox+h6rHc6UH2dsGg6u87jTOK93o BnYL8ypDVyNX6nP3rO+w0qqMyFXgHNvUBvLIPT3y18ZI/UZSIOyW1P3mXDSSJkEivbk29PGx /7aojtDSPsJorW3vZb9aFb9NWrXoCdpzhlkSORa1V/G9+lJ7s1PIK2PhzVXprjE1UdSEtGkx HjY0ZUaqC8agcu1pnbD9aN2gR62zvhSiJcoIvOcF9qmayP4dPS8mKKrkXQazHGuSk46SDnFY FOuUOLbODGc/GP5KlOR+576KWJTfpD9URcaEMkoXBnA1AyrgqsoGC3kyPhzztjVTH1zVcFWx voErs7atDfW32MCs71BBDFN093mllxubstq29sWR49DJ5ZxZezyvnRe62FnHx3dyjTOjInV0 AV0id8tnWINFMlCSePEi7c3OmAHETx+QL3qy9uQ7YUl7S5nwm96xjpXaW4xQShllSsrw4Dmj 7GpB0jZo7mKjLnhRIdIePUlIlTGrXJejRDfSQ+dFq2Hyc/Pfr9e0ISjpENdXqU6J48AhjuyH JkxvpteuCUb6MMe+JL+pJbcTNXxIPwICrhx3wQabs+lyGwyujp1XNesbuDqOq7LvUMOOX3Zv G2jXk8UPbFn7KpxjvXrMkeNg16hCcPQ3aTmzIpE2E5HjeTFlc/cSEWu6yFYteoL24sU3ozai 9uwuR5ATnGtvip7bD8KlnOCt8h+T7TbqQlFOF1W2mAXO1W7O8R7zot0s2Si7t/ES6qTXa66O lONcucg5Fly8iuyHlZh541ow5io7IaZkkuUxn1IU6oArZl2xm51o47TFJWNw5VQ0mi96sk0n u8EaJZhXbuPZ9c4LuOrKlcB3EJu8qOABXE0yrLWn2zjHLqJccKIFzrFxnk1ESe4c+xf2qhY9 drL77b0eAifWrdPBhkI7AdyFQuELHBn5vHSDOfoSRqOLTqeWuz5ynMS4URfSnM2RCL37oZjF znE5El8x3aUOYKjTtF4jFhVSJora6M2stwIdj+1bRo+l46pwjmUXr8J0l0Xq6Et1gjFX2Qkx KZOMVeFwcBUFYRibWWWDwZU7kTliXhn4hesbuDqEK4nvIKYmKniADXQytNtT5rWK2MlwaQ9i B4E6MNqFX152yC6QqcixcSbZxYs4z2YOkr6cb16RS1hoz+4mjA/5/DxsqDalOQL5nNySRVTY 3rq0ioZpwPBqsGnUhUR7vg5knGMJN1XDPHJeVAlKCr8+T6KfzmEU6pDXa7aOkOMK5zjuO7Eh ZSNcxg7Er7WQtI21dkJKifgEA1w5SHvbYHDFpytpnLefV1XrG7g6nCtZ6qWUKMYWJ6t2tIGT 37F27WPfOfZ2Efe7jtwqB/nu3vhVE4pEF6ejlof9zV7Emg2cuThlJyCNSIZt2H7it47dIqfa ZC/k0TrBZKeXuiLnM1jUZ4fXjNf+t7QX767CCHBde17COOsY17VHde7wC3nU6FbrwnwMTbmz 7XltzRzNOuH4sVFlyWajao4TvdhtXsiO5KNNiFmR/LfDvcuzmTkTbmgK88JuFJd5w8x3aiM0 l9R+mDH6/BFionkfnmxwJzHBJaBIb2rsRIWSBEXdRUrv35l5Da4WhDJclW0wuHJv8bN2cb95 VV7fwNVZuCr7DoNx1WxP7TiXFKKTPOVWJiBy+lKRo3JTroS3gF25vcbnXSqgPFFRJj/uRNJt JQrvjAW9CXW897xoHnPwDJT3gk2Y0uFZ+SUHPz6qb5ZGXnHCOfcSCrgiUJKcR3AlV7FVJTGv 3B2dFI6wgas0TJ+uH2IDU2IL1z56r2wY59hEw7jnwFpIjNM41hnmE7eXO0JrgW6AOrlP+g4g fqWIjO41G4jeelw5FK849/KEdP6TiyBio7hGVlo3dwkFXMUog6temidrB/PKPEubNJLRs7Lr fAMZK3wpcFXNVfPaN1ckG8eBnGMlvI0K0mPjiktyST29anu9L0Osmeg71q3JO+bSNVxqjfyL jDuOrrGrFh1vqdMoXlAtungV5qOKnN7j5F+HQovcLXXWSWlrg6s4FS+PLLjqo3m1rbTg3lKn Vq6Eaxw+AAAb2AisnEN6oXsw57gRG1T7MgS+M7XiKiTzl1/nfGPvbsOVNi9jsgeuxuENXIGr cRA4QlL/dQ04x0dwgD63R+Cr8qy3h3OvHrIXr2iU312M7HFytNfortUPuBqHT3AFrsZB4BhJ w2dA4RwfwwN63QEBL1KyQ3/oAggAASAABIAAEBgMgeCSqpIezvFgHELcOgS6v91Y1z1KAwEg AASAABAAAmdFIHHKDOf4rIRBrm4ImCNFHL93AxQNAQEgAASAABAYGgHu3fllQHCOhyYXwgMB IAAEgAAQAAJAAAj0ROAPZwDQlzIFFOoAAAAASUVORK5CYII=</item> <item item-id="19">iVBORw0KGgoAAAANSUhEUgAAAZYAAAAYCAYAAADZNduKAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA B0lJREFUeF7tXduR5CoM9eZyN4nOYBPx76TSk4w3mL65eAEDFiBAYNnGA1O1VTvTIIujxxEv 969V/EzjZyBQgcDf7+/p99fX9F9F39HlXgTus93/0/f3Z/r6+nMvADc8/edijthUEsv4GQgU I7DM67wU9xodWkCA03ZC1uv9wUcV+4zz+S3gSdGBc8wtYu6Nb6JgMtoMBFwEPuv7PVjlmV7B abtlnV/vNUIrCp7Pe14x3lne6X7PxDamdR+YQ5sOYvlZHnzNaDirr2s0Hk8xCDDabplfKGm4 YEfIh1GP5o3LONamMQfjHMTSvFe2pyDNudvTe2i0rmy2w5ZjPu/1NU1iz9YjnFjbTtZSu8Fc 2l/bdBDLyDaFCIhp/Wtex0JYIWxNNOeyHTYLkbINoYSfh8k1v4zWBGSHlegJ892mg1gOO05n AmRVkllX7wyR5wyXyXbLPIUHN8SsZAIzkLCNTySQiJ4DYbGmXWG+23QQS7GndN7BSyCdo/Gs 4bPZLpxtfN4v53SY/zu2HIQS1LMQzWvbGebGpoNY8q4xWkAE2AJlwHo5Apy28/ZNksQSOR47 iKXQAx6A+SCWQpuO5hsCMoHAJY+By3MQ4LYdnIXEiSW+lyKTUPQOzHNgTWraG+bGpmPG8kMc +Kph+AnkqueO5xxHgN92gDQieyyxeyymSOmBWHjH2DbmxscYiEUMVBwx5Dg5qNhdHVcU/6TA 4Py3fBb9RBJftSA3pbRezlHKXk627EkNxxRsxHIut6C5lMPfrtT3OCG4EurHXxsPyX7W3gBT s2GduiGuZ7+8SZcbayPvSsxjuQaMrWHMGYmFx5hyCjVB0pDgOYQljUu5kAWWbAxBHVQRVl1K T3gqSp3dp5PdQVXu6Q4I/n5i4YDgycRSMH6vMKshFlvsUSrH2D2WiMr8M6gCbM5qehDzZK7B dG4M87aIRYGDkAYwUs1GX00gZf0NI5LTq/SsVic22Coom1fQsYKz+pkq9URFC0Q/Td+Codmm nt3k3yv99JQ4UurwrHTUoHNOHz7MlX4nFK1nY+5t3m9Tvf3GrPe7Tfzm73qpyg4ekgJoA8ki IWOrihJVP3YW3MhbzG3f0EmLAoIgzxo7uMeROZOvqwpK0Yc6vJ69qSVC59nlWCv5EXnbrBEs RYq3QO1LgNrm4HYt1NW+J0h8nn+N2L3+piAw76oi6buP1FmuNbag+g4ELNsnZ1uTeGTs+XGJ 2M3Equ+EWT3OO7BBTXI9Yh7PNcco8WzMw1Nh/qwBIwKT/FVigg5tiMVl7H15CwaJJhArY6tc 3ITpghcSBJCngxsjJzqx0OSZpIytC9MM5gW8SeKpJTunaoFrvXVYu1UQkAfJO/pMlZKzLx4k uf6N/kbSD2d4Z4/vsyyCegt8x8rM9cnZ1iOTIC61nYK9T992OT02helxVIIs9YKku6/aC+ap XFOCspdJwdsRUlJqMccuSEYDHVZGWhnYNvZ/UyGZWUtCvnLcxG1udC02WD4LN9iKAoIgL5VU z1ovjsqttFdWTzubMTNIH1emV1RU6r8Roy5kamXUR+ZWBImE7RQXJN/xHprqQx1Xqp0mPHeC gtiOoHtRHJGxFbrMtDcc94g5WwHn2ONszHf5+6kwqjOnCAPMQuxUjpIE/H4GDKHTLN65TScW d5+mKCDQAHPlLXN8uS6bsDdA3KUlwowlOoZKrOOY6OpVZSJYsYSEzfJSvTv9jZz8Yg1Npa/9 geA7gaRUH6pti4kFeQklQfeiOCJjKzAsWhvuC/NUriFDHDQ8G/NdPjhu7CUQ6NzkJACTk8xP YsnMX4c2X97gyQxOhYElF9SxVX9vU9mb9RQFREaelGXjQBMetBttKazCJRDsJdluyR/sdVGx jshzsUoTS3gMvGJcfkV9sb/VaCwxf4MvF7EES/BFnFhi/ku0bQWxBLYj6F4UR1Rgg6sEcRLv DfNcrqFCHPLKTLwWUunnwKbOPRZn81a8qdS8Avtl73DICg1U3eItt7P5zCEQswlsKnxYqfsy 9umw83y4mS+d318q0wFhN5v9zX+4QR1URl7g2lkY2LwG8ly9kNeCK0wSR6H94C31DDgWHxc7 6ynAGpMX4Lnve9nx78zK8kVfd/tb2gyIj8D9FEjqOV/0i4CMv+2z/UQcwdhTPgHjcoup0G56 1gxPV+R0T8ZRqSPv7fEv+hqY53NNu5g/8ou+ghlBMIUvB9xx7iPyKo9xlmvcUA9xGi/2jbQN aXlYFdI3HRJ9h83fjo4K2o6o+9FHOv3FM1MnBwfmrGhvws7G3JPPcPP+BBBQkbKaAbOCQwGB nDevlaf6/fALkqg96BuBV3kI73MQH4k9IOs7jP7GMkhgu6zuLA8EQlJ+MzDnRluzSuKgBAfm oU0fRCx6Gq++ZAock2RJ6rXy3GN55zjFQ6ViS2t22Y7+BoX2R1/jOzV9zkCiFT1Kx1ajd02f Ur0o7VvRg6IrbFOm98OIpRSM0X4gMBAYCAwErkbgHxRENEn0GkAhAAAAAElFTkSuQmCC</item> <item item-id="20">iVBORw0KGgoAAAANSUhEUgAAAPsAAAAWCAYAAAAGqOr6AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA A+VJREFUeF7tWgmSrDAIda7lgTyPp/EyfRgnu2Qhi2KM3Vj1a/p3K4EHDwjxbxfXxBcjwAh8 PwKS7HwxAozA9yMwfb+JbCEjwAioDp5hYAQYgd9AgIDs275M075svwFYXysltsuuof3s6zzv 60d83JZ9uhVwCp/21BfzSqMOn3WfJ4Mx/NwVe6oIEz6cV6H5cRGQnUq5H5cjCOzzVxLOBF53 slP4opFoFEtGMlp00AluUpjDz70TLSEQKmHZYsFtPCGyV0TJoPS7o20JuyV5j3GcSAyzKvEj XyPo26hDtrK/CXsQF6ALNJU9zGTB/x0I9nuRAW0Z8toduQi4B1amnAyKmFXyL2wnJCgqs4t/ Xvtz0h5EniSxW0dhqInufSdtCVowhexq2jLx+1rcNj3v0zZ9jyD4rHPsCxs/m/azxKtmJ4Pp EPtBugJr41uxv8eWc7gc3c3RxoekTZHTtgQqkLF253CCBlRmREiYI0NqGRRMhzIC8lgCy79Y dHjtDtyv+hW32h5MHiQxuqaMORHsNZFcgu6VPoVzCoHFtol0COLHJEEd+EeLWoLC+x3zQ4bs TfLdzZS2nJdlu8QKsgcZT21hkAyIBldBBoYkOfjphWTgJNvik/ag8uzyrurbYPUHYsXnayPv pP65Clf9W62Oifts1fV8gnSQl3Ji6Icb4o3SlrOybDzRkt1VfOPBHHiR80Kv5wYmuUhqr+xo JT1pD16ZjU0qQmGmHpjsJzG4wHXzqPW/SYhJsp/tDBE/3EB2bQylLe2yYrIbhVymhE6urhAQ RGmjaPft3jMn4+HK7lUr07ks+oxLT2gtKLX2JGyV8vwkkCc7SRs/ok+LWWDbV7C32xZ4FAb2 6dAXRZn+DagfyMlOact5WXEbr7gJBkXiTFcPQsRfN0CSWRZUTjEdXuxvHqmtHHhGDL+DMvTQ qXVgEvmXckAH94JGrh6g1dujEp2bF8DqBDAGw0Bnv0wsyICuMaZ1TXnQp2V9g2TqVUGDkzcI htiF+/WULEQDz6d2KAtiOYr5siVRYSC3Bc69wgF5DpfUgK7Gnrvu6TYwucsAernx0Rv9GqNI dBPznELFbZ9pmO2JxUPGdbelhEt89PYQMuGyHQYmg1haoUb4Uk3FI6+7JX6/ADWhFNSm47w0 sLuE30O25HDxTnyGeamm98Dkklc7PgxeCkmtmmpH3dbh7PCqo3nVSyWObqufHe1GSltysvyj OonCEK/L9huYjOZ41ocR6IfAEGTX0/BwcHV1YNIPRF6JEXgDAmOQ/Q1IsY6MwMsRYLK/3IGs PiNQiwCTvRYpvo8ReDkCTPaXO5DVZwRqEfgHn9Cf/Pwia64AAAAASUVORK5CYII=</item> <item item-id="21">iVBORw0KGgoAAAANSUhEUgAAAPEAAAAWCAYAAAARinozAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BABJREFUeF7tWouRhDAI9dqyIOuxGpuxGC9/yYf8TNxkxJmb3VuzCA8eELJ/F7sWuggBQmBe BDiJ6SIECIF5EVjmVZ00JwQIAdFJEwyEACEwNwINSHxc27Jc2zE3EPNqz/HfLgn/ee3reu0n e3ts19LVKS38/qa+mIcLdTj3a10UxvD9a9gz3NedPe2+GpB43vCfTnNGTJuXnEgqoF4ncQv0 CgnU4pGejBIdZOJaBObw/csJVCQPnbipne4SFn2E8mCzO55jczsgvkY5lxF+FSV55GsEfQt1 iFbiF7EHnZaqxG5Wcf43iuvPWTbSJcFqKXjAgDWwSsRkvBVnQocHrT8HTmRi9me1NJU2I/I4 Oc1zBM6SwNZn3BanrRLo76rVYvf35Bbn934v0/cOlHNffV/oGDuknzleOTsKTAffD9wVWDtd iv1TW+4O4m6nXTKGSKdLuAg+rKW4gZMg8OwEg/zOVlLGWwyGz3FIoYnJXzGvWy0M3A/aFTLb ZkweJCf6TB5LLIhzIjQF75R+h3MAhsVxsDQHYkwlN0n0u+1MQWHdx/wQIXGRfLO43hbdiWWQ 2Mk+ov1HshEaEAkZmPWZgAnitAjoiBd4QATb00qbUXlaB1OldRDag6Tk93MjqlL/WEXKvper Y2CdrpKWT5Cu8FFouH7IjMkS02pt0THQlsSmQisTYgZ7gLtmx4YIcO0hJrJlGbe8EqOVr9Jm vJIqu0XkwSw9MIkrMSgJ9PBaHSMq0QVJXNvtIX7oQGJpW7ktPomVEJO1oGOyszU0nOvF2m69 b4vJeFCJT7YH1O36o4ybiqiA/ps8y5ETS/3wXJsReTa54yRu0304R0Uj+D3lC4b5DvZhxwaP fMA+GPoiKdNegPqhOYnrbfHbacE5MDxh1U0OB9irGarwjAeqGJuEbvqeRVYtB55fws+gDDmI KR0iSMiZHDW9Ed8PDHos17QcbMG9lpIrB0/5NoskZ/bjsJoAP4AhmsGIJwxksFUYq7IG/NDv aX2dJGlVLYWTNWSF2Ln74ZAsRAPLp3qYCeLd40XaEi/hP7IlNNjK0aHXmtohAvuemcAm2/Ne yv9Orn/E9Dtdej/ZTJBjD8qMgSxZHQ3Ken7KFv+IqaPGJaILhwhWBVEVbfyz0RJAUmvdH3uk 1s943z8fR61IBb7qIrtuu6IQN7LFOrUY5sceNUMEey8hmmt+pJBqqWeM42RgRI5RQm2haeFr hz4jghg4xhxRzSydYrbYR1Jc3BA/u6wZIpz7FjhjdoY0WYDRIkJgbgSGILE8V3SHOdgQwR20 aQc4x0afq8hzByJpX4/AGCSu15++SQh8HgEi8edDgACYHQEi8eweJP0/jwCR+PMhQADMjsA/ G6mQNwjiK6MAAAAASUVORK5CYII=</item> <item item-id="22">iVBORw0KGgoAAAANSUhEUgAAAdgAAAAYCAYAAABZRuyZAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CA1JREFUeF7tXduB3CoMdXq5aWI6SCPzu63MNuMUM7eXCWBjCxAgZPnBWpuvzfIQ50hIwsL+ 9TE/g/4oAgcj8Pf7e/j99TX8d/C8Ot05CJzH9//D9/d7+Pr6c87Cf8isyh+FSETXrIPVH0Xg UATG5+c5HjqjTnYmApJ8m7Eerze+mtzfJOc/E8ez5pbE76fzF2E1nMWZzntXBN6f10u9633Y l+R7/Dwfr0/GvTpI36/nB/O/46vc7z58tK5U+WtFDOqaOthW9LT9NgQko+FtkmjvIxAQ5Ht8 PlDnGS4j44QF5TgCtsvMIYjbbfgDmKmDvYwm30MQmpHdA4s7rFKMb+xo8f36PIbB1JBEjjfX Vp9LNKuc8tcMmT1G+TxmXVMHy8BPu3ARMMdNj+dHD4i5+PXWT4pvLCu1Y3vHmv49dQz14+Xe 0N1fXuWPh/Gqa+pgeQhqLw4CNrKrPEPjDKt9LoqAEN/jc0iL4kyWOoCMNG0TO1TokC+K19XE Uv6YjKy6pg6WCaF2YyAQbYqMEbRLTwiI8Z1mn+/XI6gmjn/HjjZRR90TnkfLqvyxEfe6pg6W DaF2bEZAzGCbZ9YOZyAgyXf0XLXoYDNXQdTBNiqB8tcI2NpcHSwbOu3IRcBuivBYjzuO9usD AWm+YVaad7D5Z61208veoe0D0kOlVP74cHtd0wyWj6H2bEQg3hQbu2vzzhCQ5xs4z8wz2Nw9 WAudvDydEdIorjxe9+HPY7fNwboyecrdtEZmGc1txFDOjgy5A72CVS56sw+87VWC+DrB/aoa cUxB8YnkkVSsQ6fq6kFrZNhNvYu1G6TIqN7ROTTOiUWx36IjAFNfjFN6S9BtHeyR/OX2OqAs N+FPwMFOxCV30KDhCV5SdsNmxxtdyf6QdaBWVnog4Azcrk3g3hyMqF0QAKto3aZPd/qEPe16 TQBn5znYs3W1ZwfboFKRfXIcbJPt5e7BZkSWz8gasOmh6Ub+insdtv4fzJ+Ag3UhYSGDnaIZ AR81U5Mf721egzaaf7lIm1PcwNkcqjaEOdQ9s7aqQHs3iDhD1wru2lUykE3SnqqrB61xE0Bb OyP2ydTtXWzPxeeS+9FWvK7WX44/t7Idkoee+EOLnJbo0WZvLtOKI//od79pjf6NKr6IAB4V zJmgb2veFWqzQ+t4XUbnsuAoW7SG6f/fyYGMt+jn+q7MJEP0RMd3LxG540CgycgJ4y1Kl9wD rdzPm6M8dqCSYOmB81xGpxCLIwJ/h5Nnxku5zOgAspDl3Z1mbuprinvTVc4aJ/WdT1MWmwSB LbC7qn5UdbSmDzCgjnUjY5/gjTaruc5BeUH2Jttr8FPUDVoM85vyl9/rGshCmvbEH+Jgw2eU 73GcXqodR/7wd5/ie6cROAOYUSKbNbzEDKOdIPJJx0g2ErgpI1lKaqxAllnuyaDCo1q6kdPG c/qy6fpAtIn5AKR0lJ3FMoxWJ+do1w832RkP51Dn4/XceDkuk1MFqefOnepq8/6CrbNB35b5 an1q+mD5r+gGeoIU812TYxKYbnstgFJfNCGFuTP4oO5j2lNpGIQrq/W5Fn+lva6FsbBtT/xl XjThs5CglL3qYMNnm2spfHRkmzuiWzKiaUPPPyfBj4CDzGl2OlB+dLxElnTsJiMnjOeMLfMW o72eDWXHbeEUtK3KGXE5bTDwWE7q1Wvr6UdPusrZXEg2WXg8kmSOy6doADdUfSi1Q2VA+CbY SpPtkUE1sjxpX9QRw9zF1NMJXVFPfxh/pb2OTFfSsCf+VlmRKmIfLc0ZDNX4ZkDoDnaex6Wk a6SXNy7MwZripujbVK4/cGR0BxsGCk1Gjm4aceCRL2aqOq4prgfVyOBovZDBZtcAs9L4lKLA d42bqSgMRu0pZ2IvD5/C5LnQrgdd5W8t1XU6HCpFfCUdpepDs4O1DiaSi2ArTbZHhtVgVD1H h4NVdIuCeXKCkNFTylgd8Tc+9yjc7Im/VVbgYENntRpGtEkmR4bAgLJHki41DQqiQiMCmzJi xE/nRLEsE/v2Y9gONdbgKNuFmWF1b+sxVWU8K8Ni26bttJ71h/psgbyX+IYVLJcqabj+loBq XkuWSywyF6ks709Xm7mbAwgYQC42SdDfNAGY6iQWPQx0Hga7kT1AfWA42KTynyD7Lg6WrHcZ 3SLInXIsOFZx/uvwV9vreHYw6SQtPhLE3OxfLPsDsgYOdrp2kxYdBcew5jrM9IkoG6XEWVUY uSz9zNHMehcURnFRJuYzT1hIA56NFsfDsjw7Hnw+GDgeOHcUccH5E1YjZV4yQHy89Ag7zjQO LHKCz5lng5349uuHfEb8lrgJxppxmNuvnPlv6KxFaWxjC54VhwVy19NV6reDEL3KrTPBO84Y 2nR0Mp21UBHVB/MVpOdynxvXjZRrN7DZpAAGNdmLtrdBY9APru+M+c34q+919+Dvdh9cTzLE 5LilnXgIYvm6UmVs5lWGdokv1MNUkEZJ/IWEO1eUQK9yohD1V0xHt0IC+SbKvnXKoL+Zs1Sd vhvmyp8MjT3xF8m67U1OMvAdMEr0jGqTkSP3xbjjBUfqB8BwmSnoBQuXEXl3QfL3vJOpq/om qKMi6wZ8V2UXmRAMUtK1nTFnO1jlb4WuJ/5SWW/iYOejKvexb1DyLvIWJe54sBhIelPpfDzs yHl5fEF/I1fnKGTE5+gbp88e6F1Fjta1ScrNGYvTp3WNlPZXkYMiK2wjKXfbWDdysK2kaHtF QBFQBBQBRYCPwD8mnRk5A8QqWQAAAABJRU5ErkJggg==</item> <item item-id="23">iVBORw0KGgoAAAANSUhEUgAAAkcAAAAYCAYAAADwBFn8AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CR1JREFUeF7tXduZ6ygMzvay20Q62EbyOq1kmskWk+0lh4uxBQgQWAYca77vPMwZLuLXhR8Q +K+P+rnJjyBwUgT++/29/fPzc/v7pPKL2HUIjNP3/7ff3/ft5+ffOoG/oLRgfm4liv4o+kP8 W5Mj+REETonA6/F5vE4puQjdggCnvlVb9+cblyL1N87+W8Y/og7nmAXz/hoU/dExD7C60WtK SUFgJgTen+dTmNFMGjlWFk59vz6P+/OToEZmGO/n44Nxp9czX+9YDHq3Lpj3Rpy3P9FfLZ7Q v4Uc1aIn5edAgHNFNMeIRIocAoz6fj3uKPHxu08QKEY5plc441gF8wHaFv3Vgw4wE3JUD5/U mAABWrCdQFARgQUBNn1jRzvv5+d+u6ncy4A0pcpe5CxXMGcx3WGNiP4aoNexYPFvIUcN+EmV 0Qio7eL74yOHaqP10Kt/Ln1ju0G6bUeK4r/HE0z5SK4XKsf2I5gfi+/RrYv+2hDe/FvIURuC UmskAprdF3JGRoonfTMjwKTv1+MWJ/Cr3aEb2AmKy4RkCJIp5nHO1JxgPpM26mUR/dVjZmps /i3kqBFCqTYQgWBCGyiJdN0DATZ9x7s+7+fdu7UW/o4dTaAkqwcOPfsQzHuizd+X6K8ZU+ff Qo6aIZSKwxBgc/xhI5COaxDg1HeQR5QlR4mr50KOapSnygrmlYAxFBefaQZRyFEzdFJxNAJ6 QoNHIaPlkf6PRYBb33A3KE2O0rlFOngm30g6FopurQvm3aA+pCPRXzuszr9l56gdQ6k5CIFw QhskhnTbCQF+fQPik8g5Sr1zpIfML08nICu64R+jYF4B/+6ior92CB12+8iRuQJLeTOkXVC8 pnI0c/U2+Icm6eqy9JtNfIxbJ3Y5+XgwMrJFV46vcntmswRcRyBRlnNLOTTAYTZvpuXtZtWR Y+R2V9Oe9dmWW/CtPpmtt+IHMHVJrLmXnE9FjnpiToh3l8Cc03l66s+S/nh+AeO5iP4YyJEj KJmJn/ERKhtf4ecirDNuwXZxTi/6ahnpxGQ1jpYIHvgEXHnqbbrb3ttVKnA/lid7o6BvJmw6 AeR0325tAd2PI0cz2Pxiz6cjRxWWEsSNFnJU5cupd44SIvOvyiuwOaroTsyr451gzqvJnfpT zCg9v2CSfrH+GMiRWUJldo5C8rLXFnAy5PGY4PpiS+JkSyAujoybvGAr22+eLM2OCSDC6FjB ux6FlX9RX7kCw21+IcFHjnEXQHsrI3Gj0bYP8WWzRmvbAduLzHH1+TA3MnLHu6/EnFObzPo7 ILacyWfQhOxtW83tdIQr5eB3N1G83AuzLlERbrGqtjSDcWXVN4v01p3+L7Oj4o7GIMvRwdD9 v9lxQdoLJ8zFgdZEXeydB0TecJOoKqAS2luDBWXniNRe6ns5hfdXFqbfvCkW6cQ5NzziBLt0 K4kAf8/q2LYX20TClpCBrN/FUX1TP7t2LptX+Lhve1WM0c5Xbssc7GKS7C0I4sU6JXuAi6rQ NjA/X8rHjmoXZiD27PLlirmKGuiviHlVvJsZ84v6jDm6pwbPL9UfQo783Jz362U/zBiulOHv bmvNTfzeBAzPS5EJEpIXuNLwVh1xG9ExGsw7AtExJjlAhkVeG7z84yg6OaK1t8z4hNstlPa2 MthtGVrQDiagBH6e3Sd14q9YLLHReMIJctvpWD/PkGovZRNRvgpXntXZbL4iGnlFsXFS7C3s r1SnZA+aPBdsA81NCvVdksPKTfflGlypj0BeE3N6vJsZc7NM83JV7XxIszt/ZKU6M/lMfn6p 0ZhftrfP7NFf4hFIt2r3Jt4iOfJzerZrrpDYICTLobfuSNhJNH2eH7SX2jlayA7aTnQkErZZ GVAJ7Rkno+waYUQ0kcSKkTo3GRxxxTipkxrbAGWLORuBTcTJvFxP4287Veew+fbwRPJtStJ0 zuap9pArh8qA6Jvge4eRo4fezS7/XBHzqnhXhnApofTfG3NNj5aTjWxs+DKfWRcVrDmsZ9Lf JityW82xx2XFTw14ixnTydHSj9nt2Vh6OqCVyZHd5bJHdnRy5JO7qoCKBuiQLFYkShPaszD7 qxoXY4qkw66nwS264LZf4swtiYkhMdhRGkKGA3KEv1OE2wR204nto4ornm7XKy87lmfXz+bJ s0miYMG3jV0VLjDkbJRqD9XkSE9UgVwEX6nyZTK0CqOqs+lrYf56VMS7mTFfZbuW/nLzC1ld UcEBPtOsv01WQI5e6qxxWw9twSggJTAAokHOOUd+58gPXGCyR9q0t7TK5MgyfRtE0cDoHfuZ pUF0i6wqoBba022tcVSVdbfNkkZGkM/O5f73oFx7tGO1BhMv6GQlOhDPGlK9YJO0CWx1xnIT 8mw236C7hfyhvk21N9httg4kt4F/QXtoIEf+TVVHYIMk/WCHtsqXqdCS7S5hW1+MeXW8mxlz FXOu6DO5+YWqrpgbPYhPeDBi3qo/4N8eOfLeDgo+xrglSKtvEZk8FU2Cwl0If9WwJteqLdHt zR+4I5V4pwgm/4Ltva09BTb2zhF8RwXmrzhtLYFpex8pWOXAfqPVYRD4dZuZ9rzE4uhtIsNw 7BhgP5n2vOROdOXaMSEbbrl6Mjs8oV0EduImMEzH0fi35OFN93qn0YDPkDgI8gECXXj6U19t H2/zbtylEIXYlZcDBmyu5A+VNmrVsl3O2PL5gD3cle+u73/hthHrGtF3SfasL5cwTP99TYj3 igjm5Xh3Mswv5jPl+eUa+oP+ve8RyHa8utSMdlKirfh6MbzgOFN7jded6xGYqIa6qQQ2OycS bLwo+CQeyEW0X26bb0YH6psoe3NfWEXVZ+4ij2DOivayBhqEeWooRLsTn3Fr2BPpL/DvryZH dncmkRNT7cfIWxJER8G7YmzPyHHEWX81SJ0r0BP9Ogs2sDvErpoDPaONsiAC9L3L91qEydma YN6CaLnOQMzFZ8rqKZY4k/5iWb+cHGntuZsu8AiFg0jM0h6enF202ysUwI7p1uNY+svp3wlV i/221DkCvVnkqB1bi9wtdWrlopSfRQ6KrLAMp9wtbbXUqR0jpfwsclBknUN/FyBHtcqQ8oKA ICAICAKCgCBwZQT+APJUkS0mAWM/AAAAAElFTkSuQmCC</item> <item item-id="24">iVBORw0KGgoAAAANSUhEUgAAAkcAAAAYCAYAAADwBFn8AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CSlJREFUeF7tXdu16ygM9fQy00Q6mEbye1rJaSZTTKaXXDBgxFvCsg2Jzlr3464AFntLQggZ //VWf4v8CQKTIvDf7+/yz8/P8vek8ovYNASu4/v/5ff3tfz8/EsTWFoHCAh/5yuEYI7BPGPf OjiSP0FgSgSe9/f9OaXkInQPApx8q7Fuj1deitJvnM/vmf/sfTjxE/5w2iCY43DSrSKsFnxP aSkIjITA6/14SGQ0EiPHysLJ9/N9vz3ehdBoncbrcX/nYqfno97vWAxmHl34O589wZyKObRv CY6o6En7MRDg3BGNMSORooYAI9/P+y0b+ISPLwRQjHJ8FeGMuAl/SM0RzJFAgWYAMwmO6PBJ jwEQwDnIAQQVEVgQYOM7dxzzerxvy6JqL6OgqdRWznLJnAp/ZMh2dxDMOyDUvsDatwRHHfhJ l6sRUOni2/0th2pX83DW87n4zmWD9NguKEp/TxeY9pHcWajM8xzh73yuBPM+zL19S3DUh6D0 uhIBHd03akauFE+ezYwAE9/P+5IW8Kvs0AIyQWmbOBiCwRTzPD91OOHvfGYF807MvX1LcNQJ oXS7EIFoQbtQEnn0GQiw8Z1mfV6PW/DWWvz/3NFENsg6A4dZnyH8nc+cYN6NubNvCY66IZSO lyHAZviXzUAeTEGAk++ojqgaHBVeF5fgiEKeaiv8EQFjaC6Yd4MowVE3dNLxagT0ggaPQq6W R55/LALcfMNsUDk4KtcWaedZvCPpWCimHF34O582wbwfc2ffkjnqx1B6XoRAvKBdJIY89iQE +PkGgU+h5qh0z5GeMr88JwF50WP48RL+WlQK5i2Eyr877PYFR+srsJg7Q/oFbfVcI+T1NVz1 TxdWJnc7KENa8G828UXcurDLysWEkZ8rxPz73p7JcwQKZTlTyrECXqrzJ82xZXRdv2s7zBRE I8bqtclqv01HAKauiLV2+/LXBkdn8ofwnV/B35mYm6DfrKWFNf0rMPebnx3BkSGuCKR2eoyX UK0+NBpPp78WGPho8gIHrGXEB2+bcjDcYwJ3nquce9+uUo77bq/sTZz+umDjA0DEejReE8D9 dcHR1To/c3BEUKnIznuCI5Itl+45KojMvysnYDND0538kX2n8JesjWSbqa0vOZ37YMxPyByZ 6J8hzrDUROOVdvDAMHsKJ8lKhXFW3MFLbmd7ZLYEM8dD20TcZ+cK7vVo7Px3iVrNHB2s8+qD F9v9TkfOcRdAeztnMOzU7UNsed2jcfq1vXiN1p+Pv3Vm3L7zI/ljxvwA3zKTzWQLsoMjqjXT Ee+Uo/+7heLpbph1hYowLWqPu1xb9c0il90xmR9wJObs3GaA1t9WOdLxjKyVbEnunoeMvHHw RnKoiPE2A8dkjlDjlb6X07h/xUb63cFqwslGls0gRlnELYhwOmP1oMix+SHViYIuZSayfRdH PRv72bWZdH7Fx33bizBHs8aA42eniyh9ixbfZh/AN8zawqCyqBsZrt0CmRqqOdIHvmeXLRNi DKyjZ8P8S/kj+c6R+ZvIZpSnOOSblTPZTCY4CmtzXs+n+TBjvFNOnBw4MgoWYHhemlkgYfAC dwfBTiEdwznA1lFVGuQAGezikAuw8MERbjy74iPebsGM59vk3pbBKWC0ALng1NVs5ZxMkZNw x+KPOeECaQPYNbiyR5yl8Uo6YYN0v/hx1VnNpfME/x81zc0To2/xE1t9Wvqg+W/oRsL1GhJG H4ptyWHkxtsyBVnsJZBcmNv5g42g8c04DMKZtfqMxR/ed47M30yY19cXCsph25lspnAJpNu1 BwtvMzgKa3r8a65RMVnlGMxkj8wiWj7PD8dbHV8lG5MdJ5EhLXgjOVTEeKljr6gYajyXBUiz ZkfVQhTHpegGaNuUc8tSuTnGPHFdje8zVTPofL9zQs4zG5gUMkfbJ+0BN1h9qLXLypDhG2Er JFtGg6tkuetsdvsP5U8xmOvw0GbZq3qKGauG22D8kXxnmw7b4gL+psK8vL6gIU4aXoB5t814 WTMF2S56tAsT1mAsIPjgyD5nTQf4XVbZoUULJMxEQDKUvLpwGR8chcEdyaFmlT4OFgmF0ojx zFTDXambfjPoMPtp8BYdONasZI6KmMQcZI9OnE/ybza2ODZ3GME5pkEs20cVNzxBcf+oOt/v nZx12iPQgm2vmDdeYKjpKFYfyMGRDg4iuRC2QrJlNLYKI9LZdMOfYjDfZGMYayL+nneC7xyZ v4kwr60vaIiThjPZjJcVBEdPddbo90PeGVWCkqyTK+z2o7ah4wILYWZM85ZWboGM3lYD6fes Y1zHBsWU2plH2SeSQ22Mp8fa/KgN2qoKhpDPrOXh96DcmLhjtQ4Vb3CyXcgI8aQEGCCg9Zc7 1oMjnjch59P5DvZW28naNlbfos1H2YbghsfqaVzfpE25IzhK+EbITrJlLLDoN3AZMf9C/si+ c2T+qro6ls3U1hcsxGlsdEe+mDWAzQD7DoIj82p+WiAdFMmqL1hr52iOweIsRBjpb/1UGtrf +QN3rVHmwjlSWPwLztr9eP577IFssEBbK2R87GaVdJtjXNANn5vsDiMlXpMwvhAdHg2a+CWa W7Ijp40XFHdmd64nFmTHOG964/iHehHpSY3jBE9fz5Zyz1E4COoBoszZyDpfd1IZvYL1KXCe LXtw/aC+tfoEv2f04aYc5Xb/V143cnaeFIq25Kjacreb9wXxwRAHY/5l/LV952T8tXR1AJtp ry+TYd5pM9sLL2q6O+456gfrrJ5JJiVJb9IlgeAlO2D6cKGz3SNf5+vOHSKP00W9qQSSnePI NYAkgZ6W5EHqG7fOd8MD+UbK3v2sXEf1zNpbkIdhLvzx0HgVf1foqkNMbCbUnRoXkX58dHBk juJArcIuJc3cJTHKeKscR5zP8/ik40bBF/odJ8NoIxPuWmrqL7fO78UK8N2Ufe+z4v41XTsY 8+7gSPjz0F3I3+m6ChVGbCYwnyIXqX58eHCkYXFvusAjFI5AYpTx8sXZ3EvDlOPljum2I0D8 zelTzr0pdI/+9vRpCtLRYBQ5qKJzyt0zVk8f6hwx7UeRAyMrbNMjd08fqlyY9qPIgZF1L+al Z9Aw+ILgiEqGtBcEBAFBQBAQBASBb0bgD+OosLlmpqJZAAAAAElFTkSuQmCC</item> <item item-id="25">iVBORw0KGgoAAAANSUhEUgAAAcQAAAAYCAYAAABk1I3/AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA B+xJREFUeF7tXduV5CgM9eaym0RlsIn4t1OpTsYbTG0uNTyMESBAYFHGBX3OfPQ0BnGvXoCw /3qLn2X+TAQ+iMB/v7/LPz8/y98fHHMOdR0C1/H9//L7+1p+fv69bvJfMPL38ofohwyI82ci 8DEEtvW9bh8bbQ50NQKcfIu+Hs8XPqPY3zjHvxrLK8bnxK9H/rz5LVdgPMccFYHX+/mc0XAc 9jn53t7r4/mOhEMF6eu5vrF4uT3Tz43DR+lMx+AP6scMiKU6MtvXI8CZbdZLMZ/8FAKMfG/r Aw127lQiQZNRjk9B18U4jLh1zR+Y5wyIXWjeGELQjGIMLEaYJRvf2Fbb6/l+LIuof/ACZazt 3KcvVrlh+JO6tOvHDIjFajIfqENAbL881vfcMK1D735PcfGNrfpk3yYQhn8PHXl+u/V++LaW eCT+rH7MgNhar2b/GgGZhWXOgCZUX4QAE9/buoRFWGIVuIAVX9jGD4AwgH4Rxi2nMhR/Vj9m QGypVLNvi4DnxCY0X44AG9/h6u71fDjVpv7v2FYfGli/nIJT0xuMP6MfMyCe0pr5MBkBNgMj jzgbXokAJ9/euWAyIEZK+2dALFSGwfibAbFQP2bzcwhIJwa3uc71Np/uHQFuvuGqLx4Q42eF 0uFF7zD2DuYF8o3Gn9GPuUK8QNlGHNJ3YiNiMNKc+fkGwS5yhhi7h6iPsN1t1pG4qJkrP159 82fmey4gqtJnyv2gGkpSzwhwVcl1+A/PAmV7eoUjX3YkD2uNjBCn8arecExBsQPnFo2vOpfp qXLFtiKy5Ry5TUz1p+2s5sZCrQ0lnzvwA5ia4o/UW1CGDYif5C/m64BidswfQ0A0QSkREBkv dmr7dF/7FWyDSMBlkHQsWMpJD9rKIIM+6rwNzFilrAusslROmh6k6yS4+CnA13UB8Wo9vXNA LNAfzzZrAmKR7cXuIUZE5l/xFGBzh6Yn+Uv6Omz+nfHHEBBV2pVYIeqMoSa7xPUn7A89F1BB 0QbAmsP0GmPO6jwWAG+3YsjOEjTw+ELnCu46ZTL8kpGDtpfq6YfmeAqgsw8jtl6p201sT+XS nL7oLF69Pc/Hn5pZg2S/NX9oUc2RockVklrN+Nm197txNJt5a4Q5uIbL533FZtqK9w3KFZgM lGrVZLY9YeQ0K71DDqS/XcnDLVIto/p/7C4NIrMftIuMktDfoSTBPbzM/ag9i6pOKgIcjSHC LWewej4CB/h7khfdX8hjhH9kIsd7BMXY1Nec3k5Pzbs0C+ao/cq+W3HYAUhCgc1l9SOrozl9 gMmvrxu4bSrbCw1LJ9AJ2YtsryCuUB0qG+aD8hf3dQVkIU1b84cERPec7bVt+kW6fnYNfzfL XuPoHQcO968RBwuDFcwonOwi7MP1z1jlmDZQGRBD4wJy7DJrA3C3LulGSetvjxpolRuNaM/p wLPTmDeM4uhmgzqYyflDp7jjAVfbsf5iPAbnT1znpvfT0zpXgM2zQN+OQXPP5PRBJkwZ3UDP Gn2+c3Jogem2V4Iq9WI+F+YqTXTqFrQ/pWHgziz3TF/8pXxdCWNu29b8RS7mm0zfWXVlA6J7 Pme3Mb0D3di21bGK0U44vtcfHhDjpdR2hYj2FcgR9ltklIT+lHFE3tLS6mwj2m8Jn6BtVk6P x7Agg+tVUHZFehc9rXUEJHukFL6kdJSqD6l2qAwI3wRbKbI9MrBClpX2xQs2zMHOSVJPv4y/ lK8j0xU0bM2f7R+pMjUZyb5KoBrMPgl6QNzHUSscm03FDYIWEPWKTwdpekB0g3qRUaJG7icJ 8eKZbKDReTOoVvUqayMrxOgcvDNWZwcgwXWOF13IBLNijC96cVPeeO6jp/m5pFpk5qkwz+Ca 0lGqPhQHRJm4eHIRbKXI9sjACoyy+8qwMwbMgxV6xJ9+GX/b2qJQsDV/tn8QEDfxrTr7tTGr zJ5jC7bR/DMoA0h6hegqPnCkiOGtSq58QDT7/yYjQ43L2dZVaZxb/Vm6bZPpT8pw2KJoq+di f2hbpmTLtw0zOB6VuHD+JcnPPpcoj1jmy1J1fD89rWBP6TtqjwT9DRNsfcZ/6KGj8zAx9ewB 6kNFQPSrwnXyFZNDS90kIJL1jhHzAfnL+bo6O9A6SctnKvkD/TsB0bnb57089yh+EW+Z159d kYHPX7m42cFRbCG2K+x9PJgpeasds60Ii0HA+Z7tTwAUuYfoAAfPtwwbu1HaO4xeRgPHDljw nIe24B0PMxfbn1Nsgn2qBt5Rw7TFdyClGhXB0ZXZyAu59LhN8RLM314vsXyZb1yIMaiVM9G5 gjMV73qMg3cXekr9tgeiV86ZLrhKlNNf8xzU3dwzzt8RfRBfKVmP+7S4boRcK+Nw+c7JkbS9 UuUHSSf6geDGmA/GX97X9cvfUB8IDlZgwbZNOVHOF7jP9FdZml4ucUdPiApD7KvmHUl4mSik L7sT9Y1NR8+iAfkmyn52SOd5MWYqB2uGeWwSRAwmfzuArfnz+j/3phpWzW3VmXfGQlRIXBrk vk5tf+q5FvvtrXDk6pd+QM41Yv/9FNzZzeobo46yAAf4zsrOMiDoJKVrjTGvDoiTPwtda/7C /gcIiPvWjfo4Ldxu4whGtf3B4hNuJ3Dz/rAt2GN7nLMo54441ehbzTMtsOlFjtK5ccpd01fN M6VzpLTvRQ6KrLBNmdyDBMRSEGf7icBEYCIwERgNgT+4sVI3pBy6ewAAAABJRU5ErkJg gg==</item> <item item-id="26">iVBORw0KGgoAAAANSUhEUgAAAeIAAAAdCAYAAAB2Wm/bAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CQ9JREFUeF7tXdu16ygM9fQy00Q6mEb8e1rJaSZTTKaXXLANCCFAPOzYRmet+5EbgyVtCT0Q 5K+P+pvkTyQgEhAJnEwC//3+Tv/8/Ex/H07X/9Pv73v6+fn38DfLC6dpSNy1I5Y/kcChEnjN KvibP69DXyovu5QElI7MvRREzfV4vmn2Y9/1fP+lBP9lYnvK/VS4vz7zNEV1evqy2OX1g0ng NU+fqdsKO5jwhmH3/Xk+u3nhz/x4fiJueJHo+zl/KD/9eqbHDQPHYYzeH3e9/lFBoTjiw5RM XvR+PvplOSLO+0qgY1b0mh+kk/WFp7IVyll3pOO+YHXkrKO8z4y7XgexMxZH3FGPZKqEBN7P z0MyYVERhgR4iyhrojD70HqoSoTThBw0VcYUnWUIud8jI+GOeRVH3E+PZKaoBFTJ6SF7wqIg HAn00hUqy9VzGwccfh86gkimzGFDnimUwGC46yAPVGHEEReqizxeIQGldHOsWaZiOhlyYwmg BaqWU70XFxRgdJMg+M/wGex4oeOupUTGsSQwIO4w8BNHzNISeahFArFmmJY5ZexNJYCcZT2X YTaL9+bwZ6o0Sjr0eqJkZEwCI+IOtkPEEYtp7CyBXiWnncmU6c8hgW4LsmIH7fsmHXHkqIs4 4oPUYkjcXbAojvggPRv3NUrZpElrXPgLOdfOsufxNpjlxh1xfC84dtykkC15PCOBMXF3SYo4 YjGRfSUg+8P7yvdms1NHO9pYBE42skec2jrpT08bN3cd3V/O18DdBIptjng5CsA5p9dZfewR BH0MAf7Dnbn6NhN+t26/qExHOoYuKJ8BuzBTt9uoaxZsF2vP0hRWt2/p6ULHQTx2NrF1uvRt QHu8stYGk+OsbgEsTHNQUj/1ZR/hmc89+D7XnFfAPbbGAkleAHcTBDY44hWs4Dwe1KiOB7TX dQFee7cCAauefmSr6eMHCYsha346lFEhHctNUvCygMUp8IODcxkokxqIU1IHjnBSZ9DTTQ/3 DDaY0Oz2WCdbr3HERbYbO0ccEcyYjrhAS76Ee3KNpcg/Ke7mkqMGR6yD/VRGHDrKAniJR/F8 6flrmixqFoEsT5TjvfOCvGSAIEDKOuItKMlkJlk5px74up4ewGOTgFoHd7T1StvYxXaX2D9+ P3Cr1K4//vu4LzLcIbk5CnfSEdvIUmeGSxaHswn02SxwL3NbjblHE5YNtizTPKvuddWZp048 l2zRlJZhJqqN0fz/QgcxH1rwvWyYOpNG0IqT3yJjZsxnlSS4Pi9zPnGL3qqT80B+xuQNfqiS YR0V+D6JxzpfiB+BUyZitvf5Khq41wtfS0+VnMydxQU8ruvLVqWx9giCX2BzWT3J6mpOL2DQ jXWEss0GF0PdZpWlf5NVVhDldHEX5G5YCe4OJAbu8TW2HGs44ijcCUfs76e+X6/1onScTcDP Jt03jsZzIHCfgVjgobOEEY0X3YRzOFtDCwAoQ4cOFbx/o3U1HL9EzHfEvPk2b0Ve8s0DGvMY CVygBkXl50evqxPV/MNF2GVudsshNl8MP7yv2Kl05Vi8mp7WLggUnwV6Z1+bG5PTC11Wz+hI 171k3EeRo39llG+7JXhwL/TohdUS3np9Les6zJOBz1luzD1wT62xJUj7zx6HO5kRmwzHu5A6 64j9fVjX7o82/GPlQZu9rU4gvieDGwh8RYIZMTlH8P6wIaHImBnzLUYV+eWXvfaeovOW4Aie zdKJ8AsafLo7YpeJX0NP65cDlj1ynGBKV7l6kXouoIHRSEMF+atLDa9DZdhake2yIVG0zLxf YOqGlXbFW6Uwqd+C+4ZifI1lwxw8eBzuiT1iE0lt2RHXUI1Y7M885Rzx9p4lxXVRYNyg0o7Y TwqJTkfSmP0gosiYGfO95nhTVtbB2UUJd4ZvnyNluCgPi8ME/AaVDfq7HB5rcxuM4hFOu+39 XkVP65eDdWSGz+X7TFNiSle5elHgiHmNNIavkPbghiuGrRXZLhsSRWNRubsDVpa2DnMNgHtq jWXDHDx4HO5E1/RL/Qao+9VOZwzhwuqXLfECbpxP2hH7hgMWcsLg13uKGY54218ijdIrmy9h p9/NvGXj7K7pzHwm0ln9aXjXMq80XaFKGflZ/iD/JcHWxksUP4wTwXsFV2DI1fS0ltsInww9 DgP8tYfD+hRP92FAjOyCGawljzl5WxuIskSVzPN/DJ53ccTsak5HrJT9kOswQwaj4Z5bY2st zz+dk5qlHSviHDHcB/KP8XhNOerXS9afEdMOF+9h+hmgHafKO+5cLcy0UbZnyriw2Qjs49r5 LA1htrgYsFZaXBLeFNmdO0bZKnxneFv8elTLPyu1ycHQ4Obz5EUe8TqwWQvug3syMPRCDBGm KTwCebpjWg73LVsuyipy5nMhPWXzjZyhlwmjCkhOj00GzdRVEyiuNm3seokenc2qX86a7bl4 Wkd8zAGGgS3GezvcKPUM7NzL8Zy03Zw+xb+3TXbeIztj5fVsgDUnJ4PBcM+vsWfG3dDmtmHa ji/V87r7yCDjjEXfBZR4htkyX+URjQJST/Qosed3IurORAq98DOzSPRYN11tFRDamlgWUBMk 4LI4fJfqCrcFuhZbq6VfvTPVxb8bVjF6mTIQ3GsB38YdiDvsIbqtI17LZZE90WKsiPNyTMOg y0U3v9Aj8B2zW1SLZT/CgILzmFm966irzaLHjTQlNgkaZrI8NxOKNTbRpLUzVtWOWHBv14JU k1ZP3DdKQZB6Y0esmTXZGCxn9nCCtfPBpqZ2tbnMDCX7xFTJ25ZN+TelXUY2RYTW6F3NmCKi og8HjTR4n5PlYL9Hf5sUetJdM1fNmDaOzWjBPdyupCQrv0fcR99kFrYEpDzNFtVNHqQbabb9 Ye/egdGDq5sAbiu7D9cUaANwwT1E2e/MvnlGfC8lvzQ3Q+2LXxqpZuKTjTSw4uE1fja/Vib4 sgQEdz4A+IieOGK+7OTJRgl4WVLjXDJcJCASEAlcUgLE3QriiC+J5HWJ3u389HVFIpSLBEQC o0ggUhkURzyKApyIT3fP9YmIElJEAiIBkcBuEqDOn7uXiSPeTfAysUhAJCASEAmIBPIS+AP2 P5dSHTXG4AAAAABJRU5ErkJggg==</item> <item item-id="27">iVBORw0KGgoAAAANSUhEUgAAAnQAAAAdCAYAAAAjDfF0AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CnVJREFUeF7tXdGV66gS9ObyNglnsIn4d1LxTcYbzLxcvEISUgMNNNCSwK45537cGYSaqqYp oEF/vaefG36AABAAAh+OwL9//tz+/vm5/e/0dv7/9ufP7+3n55/T34wX3m7gfRwvAFeNXBlB hx8gMDQCr8c0KXm8X0M3AsYfisDkIw8tB5nquj9/eXNjf9N8/6FAfVjlmriD92OdA1wJ8H29 H7dbNJbdBDWgCBDoFoHX4/a+qY3U3TYThjUh8Pt+PtXU3Ptxf74jcm628vf5eHN67/VMP9fU RDzMIADex3ELcFXClRn3uEklBF0JiijbFQK/z7veqktXLYMxqggozvxfjzsr1lx7p1k0J/oU 7VDF51MrU8QbvB/sJOCqGGAz/vmiDoKuGEY80AUCv8/3HStzXVDRuxGywVjQCm7LzfjhtAVy u3lCL1YWPisAWqcIeNfB8YxawFUdyj5uEHR1OOKpSxGYlufvyJm7lIJhXq7lK9yqm6nbCrnw 7+EgFVm5GwbLkQwF7+OwBa6quTITSrIbAEFXjSQevAyByYkfsaT0y4zCi7tEwAt4tTaanJVg cc0cxiG/DMv4Ao4KwFpL8JwIAfAugqmLQuCqiQY6cYSga4ISD1+BQCzp/Apb8M7OEfBEV721 4eqan8Pi/5/bRmKFYb1ReDKGAHgfxzfAVRtXJL0Dgq4NSjx9OgJay/OnG44XXoGA2mAxGe/l xSUFXeSKCwi6k5wAvJ8EtMJrwFUjiPtkE4KuEUo8fjYCk/Misfxs0Id9nxFdmtfa0FW3uKCL 58rFrhsYFuBODQfvnRLDmAWuWrnaFzkg6FqxxPPnIoD8uXPxHvxt3NH+tiYRsRbJoUulBOjb 09aaT31aH2fwfpSvgKt2ZO1Es03QzUf2JfcytRvs1mAUqbkqIPzn3stiblWWn4bUmylQ+3Tw mW0Lrkf4wlNzqdvap+tet1OHmsv4vvte5vfGkJPaqN1l5/rSt5wf8craPp18bvMtwoVN7E76 p7l0OLw76oh291XnCLwLYvZX8D4CV0s/CsdD4vVfwdXeXjuJbBB0C/HB/Us0kiheFriMB+7n e4LtC2f1xtgnF1Obgyhs59EZ+vwlg8zN8tngS9oVDDSzuJCL1uy7eixAeU/61Bli52q/P6ON HTiBUuyoEXRFsSB2D10Ewu8UdAX+dBHvxTEbvAfjcQHLTtHiPpoaDzkjvoAre8l+g6AziwWp FbplxqOgj1aKwvpS+Sg1ycfFjiXxYG3Bxa0AHLkaJWnjoWU83rOCbhW3mZWSJpMv9XtyKOTI NjYB1PqwYuyo7BuHxIJ5TqoZE1tx7u3563mfEdGO2R/JeydcHRADR+yjrKDblzHtqpK/GuH9 3w5sL3tbuv2+mLclalSdLTt959AslZpfzatXdtuUKj8ThO3v59Utpr61k2xbrJMN29Vk3L02 jK2+2CwK4oL6tuAgWaET1Rf73l3mfqt1hlItrgM+7EBg/cFbqd0ED/l7kt+lvtAfGN4zM/jt e5mTDdLPdw7n9/aboAVtXMYpu01BVo1FfucN/Nlncn5BJ4O+j/B9vVp6GFvDjr6kipC41RQL CoyTDhZqXIH3nZ2s39q1A/ey1gJ6o0VP5z3b1vH76Jx+Ig3yBSSezpVCH2UEnZtv9vt6LR+g 9lcj6P/tUqYVLI5woHvxzMBORRedETmzo7AOVxfQHLp9ezUUZuT9q61LwHS3KuWCTlbfqlLY j+i6/iWpby/DfZRX5oTx3MPoScAoH+4MbRFjBk8aKPbVsm1rPlZfzB/8vCulLZkd//H8viA2 kaJcOyV+578t90zOL0w/zfiIaq6dn2eas39przwWlLAhvVhYi6t5muTkES9xXYZBWYz6DN7l Mbtn3nP8fgJX6fGwhB237Jh9lF2hsyskjmDICjo3T23fBqVijBGGFsVt9WcZ/OM5Jl59JlRN IoJboWPrCLbJwvqKgrigvjmYSlbnOOEcGdQ4IWoHIE7o1Tv2PrCx9Zb4BSmbzSHy/CFIpFcX dPvK4Ch+X8upqH9LxFTK96V+kSoX2CBIWGf70PzL8DNxgr5bFAvEhEy2PMyOQ/5Hjas1Tpod j6R/g/eVlIKYnadxLXEB71/QR7eJl2oO+QVcKfTRRA6dVb7r6oo0QNvusImsnKBb3zMvue2z yHggzQg60rnkgs4Vo0VBnO0wvrgtOKwgqG9pojvjts3OCqW5YPkKXRSTWXiR9gYrt/zfcvwu K4W0jR7vB+RM7LjaVcZ5ZuGe4E61z5lcHO/34nGELZjp3zP2mcNEKV+V+kWBoJMlrNt2hbYH X2wQ9LWiWCAmZLKxKO9BgavNNoW6voD316MgZvfM+xdwlRoPxdQEBcfso8wp19e0H73PHfcg GA6o7vaZP3DbDpEe2NyASQZwJtAv3+0sE3TBFqKzHTyPwMHp06IgnqnPKuZFRwm+PSqwb9Fz 7vcjrT/Ktlwr3DzDx4YzxbNEDK3YRP3B512CZVEzx/P7ouaRAZ3t31K/oy9NPkMnal4/E4r+ 5PUmcx2RQTcYxFaj/VVdQZuLYoGUEPHqcsQnBXaHpijW9eG8F8fsnnn/cK72sMaPh1JqQj33 EB7kVOxX0xjXGpuZe+jIvrs5kOB9dHo/pDDdozQfWDBB1V/xcQPtluQ+bTPs98bRlT/vHjm7 PUmT8Enw5utzbbUC6u5vda4Ovt9d5w0K9J3hV7iXK1ro7xP1Ocn97NUu3qC3ir4FV/tvt89J kGZn+CceiqCDqYOBtZf6hOcjKX4DPPfE/Z33dfWuaJUj17VH8nvTfskP419ObiPx5Vy/sM8J fX/rf4EfE7+4T0Fzu0eS9xGXc9JmY6/Tt/0YxK0uesnTuTYnY4EEf77MdmDH+fPBXIH3He2m mD0Y7zkfz8XujvtofjwcjKvqPmrbuaeVtF1bUo/b4U8GK1ax2XuBJU5A7qm+yqsZCpreUVEm J6oj63oyhRcQnoVCP9b2/WqcvC33WfhZselv99KX+Kfgc9vK1QZGHpxwTh3IO4yrWDvAuzbD fH1X8S7k9xAQ0Ef3GzciAGv2d5qr/7GCbtm2ieR4FXsxc+dOU4dRrC+1BVXczjEeSH1aaYwW HG1lwR1RWT9W9NXmZvsJ6yV9nCQ7Z9vcbKivmhOHIQ7mqlrQgfd2L0gl2B/M++k+btFCH01/ PUuT9xVzIqA/WNCZxtrVHLqtppH02kt9/AGJ9kDUeQ0leXTcVu62HSj/kkjniFSaV+PHNc9U muc9FiSs+3lCokHsOvvbUNC0u6aummfaWrxJBP+gAnjPAAuudDyvtBZN3OV10UNfHy7oSglB +TEQwLbrGDzpWcknrK/5c849mN8u0vUw76Em8N4DCzIbwJUMJ91S7qlcCDpddFHbWQh8Vd7g WaD2+Z7kISO6AnunB7b6bAuskiMA3uVYXV0SXF3DgH8lEwTdNTzgrQoIODNChfpQBRAAAkAA CACBIRBg7mSFoBuCORgZQ+Cw+/cAORAAAkAACACBHhGI7FBB0PVIFmwqQmD/jmzRYygMBIAA EAACQGAgBLh7K3fzIegGohKmAgEgAASAABAAAkCAQ+A/X6MrPpXYk8MAAAAASUVORK5C YII=</item> <item item-id="28">iVBORw0KGgoAAAANSUhEUgAAAmIAAAAdCAYAAAAJvQDbAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CmJJREFUeF7tXV2S5CYMdu6SXKJvkIv4da7ScxnnJTfp3KWDfzACBAgsbLC1VVtbs2PL4vuE EELAH1/1Z5A/goAgIAg8AIF/fn+Hv35+hj9Pb+t/w+/vZ/j5+fv0L8sHh0F478cKHsnVHIjJ H0GgewSmUU0oxu/UfUOkAdUQUDYychmIkvV6f3BVQ7/j/H41kG4omBN34b2ugdyWq+k7DkPQ /wx1URXpgkB9BKZx+A5sI2x9feULVyDw+b7fbFHYd3y9v4EwbGnc5z1+sThtesffuwKZe39T eO+H3/tzNY9V2AROArF+rFQ0RRD4vF98WQ5B+L4IMM60p/GFBlk2eGoGjAVrjHrclyzGljHi Lbwz8oKJeghX85jlBmMSiFW2LRFfEYHP+/uSTFhFgO8jmjaIEtqLLU3NdqiWHYbBCdBCz4rN EoDmeUR458HxDClP4sptqwRiZ1iYfKMCAiqN/ZKasArA3lAkl61gWa5Ztg7A/N/7g0sgU3ZD 1K9vkvB+PQdUDR7G1Tx5AxlzCcSodiLPtYWAMuQxVCzdlqaizdUIOE6vVJ25vsNLZs2bRMB/ +s+4gRcM3Eo1kfdICAjvJJiaeOiBXMFJmgRiTVihKJGLQKgYOleOPP8ABJxgqbzFfjbLrfdw f8aWW9CArlwpeTOEgPDej208kStQuiCBWD+mKpruCHClsQXSRyDA5uQVWk7dVzQQCxx1IIHY SVYnvJ8ENMNnHsmVmdhJIMZgQyLibASUAUvB89mgd/u9OVjiPN4EZrnCgVi4Fiy0hb1bgBtV XHhvlBhErWdyZRIKEoj1Y6uiqUZA6sPEFjIQwLaLZ7yOPAqCrECNWGzpnF+fY62569v8OAvv tWzlqVzpSd2xQGzZtk05U6cWffNKwbxtfP07TirCHN0DE+cTbem76/gi8zna1brxYLTo5m2T f+AurNjp1uqYzX0XG2e62zXhS23/pDZW6bbxE6ZrfLK0T0ff220LcKELjqP2OR/26p8jVKPd bcnsgXeCz34E7z1wtfYjfzwEVt8BV3rCdiAQW8nyzs6BvZ/xgLZFrCNvCcLAFlD3Z/WC0pEe BO3EMix7wRmxr1eBiwRZIG+AWIICerBZ8PXrX4HcR+3qjCDlats/o43XU+7291KNSgKxLF8Q OkcsoPAzA7EM9pjGjVzes3228O6NyRksW4/mcqWisH3XPOndRrnSB5IfCMQUjtGswDq7YIhp NsIceXO06wVZdkaspCiWRGqutXEHStiMu2b2J7e97M/73IftChTyJzITh9S80vaXrN8WeNds 4yGAjr7M6D8K+0YVX7DMJzn94lGcW3v/et4XRLh99i15b4SrCj7wrD6KBmIm1aczTe7M3/lZ D0aTPlla36MEU7zbPYD6WXUH27qMaC8rWsW0S5C1LestGS9f3qJr7L437FwSRF93QM9yvgR5 e6dO3E1nOr/K4AE8/YAjdB9X4nyibUZQHBh7nGgHrm3CyY7ugQr4Pfx4QB5cal5tArGlxIx5 v89P6UC9XrAn21+Sw/rOwow2ruOLTueDbDLVjuGYnXwnZRdwIufaCML5kXgBu4Ehqf+GVXGH CStMdfJsXAnvhgwC71k+O8MuT+c92db+++gyPlCdfINcIYGYXUv1mab1Ult35g9/1uk+HWRY gz1cZ0YGYxgowdmHNRPxZWi/iC9DmuDtX2+nFNBh03d1dPaSHj0Qo8lbuCdF7BR55hns4lBa R3cGOR3wzv+GBp0gJ/aMaA2iZjxhBzeZmz2DGZIXsolN3q4e09KF6Zd92X6GP3EexdpJsTv3 i6l3UnYxlwskbMTlvLzRcwd07n1M6b9+jO4LcpSjHujKxdXigKw62dW30zCwW5Z65x680312 y7w/gav4eJjDjv3seX0UzYjpbIQ1yCcDMbsGy2zNhkEUEtDplu+ZkXXADtdP2PLMoA8gBLqi crzlJEfHXOdLkOcPAhHzIMnTWQ2/JqxW7UlQbo5tpLiBsDg2sQ4kYDmHPRAz2dkebL/cwRDb SQmCYrZKtYvYc54OhEJqbOK4hlT+dViEvlYtEPM2FOGMkvwxhatlLrhOUqP2TZH1AN6zfDa5 M2IbySrz/giuwuMhmRrvwfO4itSI6ShzG+ipTnVrDD0Q276zpDnMjC3s/PzBWC9xGhxtOV7W CDVMO5DMcr4EedOYUURPkLe21Z7h6vbTArH8jFgQE7dOz8uWAmydQAzPvuE2gQViWEawvOPt s4JtA0rjtn+4oYk+TtnkErNVql1kBGK0QmrdLn+DjnfCPaGvZfkCMidKx6zlTgaudt0YZD2A 9yyf3TLvD+AqNh6SqfEePK+PIrsmJ7XWuixGrkP9CC6ydbIR9hKTO9jqwCOeEbOdHAgsEOe8 3inoZq90QAEDnURAZy2dLo306syynG9Cno52F0DVs8m7EQn6beSgy4i0pckC80xwsgdVEM+c AH7DJmgTLvcULLOa2ZvtZzUOPBxoJ9Xu4Gej78CA2ulnxGDd7+/g44uMwATHG3x2h2ZvHCK0 OcsXUCkhZ3MZuVL9B/XtBAy8Zt2c92yf3TLvN+cKBCusBzbTd2sf71fIOWKwZsOuF7IKqF/q DJylrmh2hG52xXaO+3sqFW/O1ILZBnMG2FKcr2vNYCE3cLhG3pxF0wGjI0PPNmcjdAvkN8Pc NwK4zhx+17/dd82WwP+PyLMwQ4/5cAarLVhbsdV/DZ5W4S46oz6xWB/iZmGg9YV24dhJjGMP T2MTNve5M5aUt+zT9uOtQuzLqt0DtpzqF/o9ou3riYexZcQu1K7PcT9nD7cRrL/vsq2+7foh 7Mgap6g31eaoL0jZU/j3+yYL65HKXAnvBu1DPrsz3lM2nvLdDffR9HjYMldaN1Mycez4ivK2 nvKmlyEKzZYztLEcaUvyCrfoZzS9oUeRmp+GtGtJFXzgdzQk2jG37Rfj5Gx+WQI2s4snfLah 2o28J/2JbS7WEXtRfTO2wasaV6FGEDEQ3g9awVW8E/k92Dr8demjxtcEAVYTsG1CeetAzDvQ 9ZBhImemtCIvtlRTpZddLzR2hcz12rWgQcYZP0k75rb9I/gY57VKmbNJeC2i/xVQhJts8xEd 0SgMufUDzoyJZ4sl9RbehfcNgaStcNu4lid9lHTjEAhWbx6IzYahsydw+SmjgD4WzSJLiOWm XaofXrhfrkcnbyonk6y528c5c86dWfblvX6qE9QQNUvsruQdHoS8Qmq3DoY0+Fyn/zEUOPUu kVXyzrEW70O7u+lJeE8AK1zxWF6uFDrucAPRAwKxXCDl+T4QkOXJPnji0xIvpN7qw6yzDOnX mvFpJ5JqISC810KWX65wRcXUrnOWQIyKmzzXHgKPqotrD/4zNYpufoFFx9ZmojM1lG/VQEB4 r4FqHZnCFR1X9zgdCcTo2MmTDSJgzcAa1E9UEgQEAUFAEBAEdgSQm3YkEBP76B6BauendY+M NEAQEAQEAUGgGQQCqzgSiDXDkChyBAH0yqsjAuVdQUAQEAQEAUGABQHsrEAjWAIxFpBFiCAg CAgCgoAgIAgIAvkI/A9Vcb7dLkkX8gAAAABJRU5ErkJggg==</item> <item item-id="29">iVBORw0KGgoAAAANSUhEUgAAAjUAAAAYCAYAAAACuAxZAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CPJJREFUeF7tXeuR7SYMdnpJmjgdpBH/3VbONuMUc9LLueZlCxAgsGxjWzuTyexdLItPDz5A 4L++888gP4LAhRH47/d3+OfnZ/j7wn0Q1ekInGfv/4ff38/w8/MvXVlpGSEg9jveKe6LORKT itTIjyBwWQSm8TtOl9VeFK9FgNPes6zX+4NrkPob5/tr+36H9pz4if1oHnF3zIP+DTRUpJUg 0CMCn+/7LYymR8vsoxOnvafv+Hp/E5RGq/95j1+M80zv/HP79P0OUsV+x1vxGZjDmBRSc7yX yRu5EOCcgXDpJHL2Q4DR3tP4QgmLr3yC+DDqsR9YHUpmxE3sR7TvUzAH/RRSQ/QNadYfArTE 1p/eolEbAmz2xrYtPu/vaxjm+sKA7KTayp5ntRHFftWQbX7gMZir+LUxKaRms9uIgHMQmJdV X+NXNp/OQf/4t3LZG1t9UbIdmYn/Hg8M5a2r4/Hp/Y1iv+Mt9CTM15gUUnO8p8kbORBQzLxQ E8HxGpHRCQJM9p7GIS4sn1djBrDyErcJSQwkQZ3g07saYr/jLfQozNeYFFJzvKvJGzkQCAYi DpEio2ME2Owdr7J83i/vFFT4O7aEj5KjjuE7XTWx3/EmeBjmLiaF1BzvavJGDgTYApZDGZGx OwKc9g7qZLKkJnFsWEhNpcXFfpWAMTR/GOZCahh8RkSch4AaiOCWwXmayJuPQIDb3nD1JU1q 0rUzKoEm77g5ApCLvUPsd7zBnoa5i0lZqTne1+SNDAiEAxGDSBHRMQL89gaEJVFTk7qnRsHE r0/H4DOoxo+X2K9klqdh7vq7jdToY5CU+x5K8Nf+XRUFqeOX9j9b5KeY2vJvXhHpHAAD/aQM H8OFevLgpHWLjp4+7zQGbiNQwMm59Bq652l+r4fT9aTOnn2sDUlSexWHSKEu4dnWmMw+t+AH MHXFlbnbah9Lao60HyF3PsJ+R2JuyHo8voAA7RhzBlJjwI7udYAJivHiHy02kIctAcdJTOlJ JxSLURnuoYAzPU24tp7WmRPuaK84jfqpB1o6cSOMI/01AfY/j9Sc7fdXJjUVLhXEegupqYrl 1D01CZX5Z8EV2Fyh6Ub7VedOsV80PlbHTG58wXyuM8wZSI2ermRWagzTZuAGFs5YXorUwL3u loK+amegJBlu0oHNJC83c6cA59oE9kf7Cu5lKMy0a94ctT3V7w/q4yaAtj6M5I5G394llvX8 ijO3bcWrt+f57Kd7xp07b2k/Zsx3yJ97xwxaKLwuPblVhXBWGvzukvvkbuN0xXPI9pBrO39P RS1vKbLjbRdB9qMSmNta0qsb6e2msFjPm0Fh5/QRnUPiVZUICfKWwKSs1JDkpb7nUbg/wzLr ZqIZ2cUlU+cXwcrdMviDv2ftbOTFfpHwJ6QjyzdA5ndTPwt1Ob933x6q6KMZG9zSMlg1JPlb MGgWnyn5A5wQhb6Bx7oe2OJANZMqkH82xXIFN6AmaDbMH2q/qtzZs/0uFDN6i5uaPDvCHCE1 ft3JZ5rMx97CWSn83S0/ucHaGzThXiAyqEHCAZm4x8pjGf6YCGpoHAma/++IDr4VZZ+xOpuk 42/b0EkN6FdGnh2pCaclKPLWNtjpC1qyDQYOgF3yRFHSLv4MwRAShScc2Cy+mhTZrcCUvJRf WHmr/bnqiK7n9xV5BDTF+knxt/BtpWdK/qDsX/CNyNaa6gYfoCzpYfSmx3INqtTL97gwt/0H ecrkZxoGfs9Kz/RlP3ru7Nl+V8I8P77UoOy33TtmEpfvuRmyN1gWSY1fr7JuCQUFTqkl+2X2 bwa+9F51XDBV2n5CZUV6xHKrEiFBXpyQM65Bkudm3XENzV57/Um5Nf4B2hb1DPxCY+gVmXJd Ab6uDF3F71sTCym+UUKRWKlZPnENbEP1h1w7VAfE3oRYqYplMrCzLiPtS91smCtaZw9CZP30 Zvaryp092y/nq53FzDIZYK3R3DtmVvnI6SfH1OyASQXcOhSd1Nj36Kn3OqNJJ6E9SY1PzKoS IeqsIdGrKOAlyDNQ+7NAF89FsmDmr/7pMcJKTRITuPpiomGts8r4TsnOZsUI9hGzP70AvJzv ruP35b7kWhT6qTEv4JrzUao/VJMaNagHehFipSqWycDOGFXt4TJgvujGIOtC9pvGitzZs/0u hHlufCFDHDXcO2ZW+YDUTPM+2jL1AgkkGEyiLQSQaJJbFMFgZ1dk1q0OMHghyc6c+KGRGj2b sQkHTWjeFpme/kSnkqoSYUGekrXkv7mtO72UdA6CfobT+N+rcfJo208Nrlmwy2JLiGcNIbbY +NjnSU14Gq6hV9qvrub3rP2k+ht8afYZOFkJ4otIeLFYdz7vcQmC7lWxTAWWfKoz4VsEvWNV GGVdxH7VubNn+10E85U74+MLFeKY04zEQ0ONfg5i0iM15oi2f/eLGT/h/S/zd1J0G8Wgwxm/ z6qX5+al2vVeGbgCFNTEuNocWJAKlsBweSuJie6pUY4UFuda51r6GS6xwXdHs7EgYStwMvI8 fdDj73XyvKJDdKZ4YKEwxM3DwPkA9I3AV3J2jvBci1pX+7tvc3MUtIH9bmWj4MOGa8F6D35P /SY54ldejRPoZyke3HPQ30rPlPxh/rr6uNwzhftGbGsdbH4BY0mPbCw3p+fvUozuidgZ84fZ r5w7L2a/kq92EDPl8aVfzGFMbrt8r72Phz0ZrVxEy4D1qnhJrSd5jcde6xHo6In55AtYYOxI sfNVwQffQC+i/3L7fDM60N5E3ZvfhT04vzN3MGQ3zFOdIGIg9rMAnmU/op1YfdUJu3vMBDa9 PakxS9nhFllrLQZyF8AmZ2WUp/XYY/95lzBjFEovQGN8aeeiEL9qHhQZfZQFNWDvTbHXokzO 13bGXOzXYrCQwWcKvHe23+G+Crt+55iJY/IBpMYuW89L3ugx402hArcuOAhFqzy8aHhT1+7y MLadtWyztpLbu4DT4m8tz+yBVy961PaNU+8WWS3P1PaR0r4XPSi6wjYterc8U6sXpX0velB0 bcf8IaSmFkRpLwgIAoKAICAICAJXQ+APq0aWsSaSNlUAAAAASUVORK5CYII=</item> <item item-id="30">iVBORw0KGgoAAAANSUhEUgAAAfIAAAAdCAYAAABR9O4zAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CPBJREFUeF7tXduB6ygM9fay20Q62Eb8O61kmskWk+0lF7CxhRAgXnEIun9zw0OcI5AQAv/1 Uv8W+ScICAKCwAcg8N/v7/LPz8/y99tl+X/5/X0uPz//vr1n6XBZhPdKLdCGXP4JAt0ReKzK YVxfj+4dSQfDIqB0ZG2lIKqt2/1JQxH6rWX/w5JwgeAtcf9a3h+vdVmC82O5gDbpcjIEHuvy Wpqt0JOBN81wn6/7vZkVf623+ytgxg2iz/v6ouz84x6vNw0dbxuo8J4DtV5LKQdVDHkOilI2 G4Hn/dZul5Xdu1QYBoGGu7LHeiONtIuF2uFQxr6hHMNgf6WgDfGehXe9pmJjLob8SiX+9r6f 99dNduLfznKT8fEWYUZXVGhV66EKSy4LMvChsqKzDKDbFBHey3DEuIkhL8NRaiURUCGzm5yJ J2GSAjrQ3UhXqF22btsacP9335AEdurCUwcEhPdiULVzCiJKYsiLkZSKUQSUoq2hZCOBThCA CKBFqRQcfX7obaZ1kiX4T78MNtzQ8JdKIvVYCAjvLJhChaATKoa8CkqpHEIglEwkiAkCHgLI 2JYj5O+m8Xki/psK7ZIOQblQUjNsiRolwU7KOzgaEkMu06wDAq1CZh1EkyY/D4FmhlwNDZ17 Rw154KqSGPI3qYjwXgn06cCIIa+EUqpTCCgFk4QhUQ0mAtrYtryeCHfZYUMePgsPXfFhDkeK MREQ3plABYudGyYx5LVYSn0fATkfF63IQIC6TpNRnSgKjHTgjDx29NNenrrRfGvt9jjPx7t1 WusMubnWwbmz2V4VzSMj5koJfmxEv4DDz5Zu5xVq78jKBDGZMAs29rqSyVDe8WkZWsMqdqFu blnYbxhj+2mlY9PRF6R6dFk6B6P1Dt0CXNjkqqh+6sdi/Hu6Pcb9WW2OwHtojQVITsa7dUgr DPlGvHc3E2pnw8v+plnUnh8C0zLxHQuzEHiOQNn0gh6+cTLgYxPGqPCdizIJLq4FuYny/g4j d7VuvmOMF/NNzMdSiUoMedbcDd0jDwg8pyHPYK/Rup7Le3SNpcSfgHf74FaFIVfIRXc9m/fU 7qjUbw8b8pIklVxlYqk7Zbh77j5ZQvUshLhJGvLdqUnsjKokvlQ3QbJfzzFWAVRbueH8Lpwb Xeau2S+0XLdqcf60+tfzbhDpsDkakXfSkB9ert6lmh0l3tmgv+1i+bAvJ9l3YGEIZA9927Lq jWO9C9YGPhge1xPbhs2NHER7+4Q7nqqj7iQS8mHHImsxYLR3KJn3/GPifuruPRY7Ph5mdgGw nKHoyWHowO+w80B7PmcENwmP/XjPWsnAfV57ON20b3ZnjHFbn/Yo0TEHgcMM5llST5K6mtIL 6KhjHaHnY7HJoV4ATMq/Y5UEIl8q7oLejCvh/SSJwXt4jc3nGtYYkXfCkLtny8/HY/voAN7Z wL9t6MIaLccYwTMXwlhAwwu9K8fT8ttwbc35gLxvkEGfu3zbxHND3HxDzmvPKEbVtRa0SFqH JnYEEMTM9Z43I6zHDxfxc3d8HJOE2gtxhs9VG4Xezkk2nm6WLSnUODP07ug0VSelF/p4KqEj Tc/ScR5JSv5toPy5m8MG90GYVlyZBcPJ69nWXh4G7shSdb6D99gam8O0W3ZM3skdud1tOQ+y Jw25eyZ9hrtR8kQo1Hns/DaDEj6f8pMxYGidrOf16beRtRgw2jOTMvDlpV5nb8F2c7gDZZNy Is68BKnmhvyM3oyim6ULCmsOcoxoTFe5ehEr58nASESiNgabSfafaGXMtay5yyZEybLyvoDW jCvj+2+JslH9Ft53FsNrLJtmr+CYvEfOyK1Xt+/UuJPeQnx8Zi1lyPd+zBb79EjDk7OVIXcd j6zFgFxcsCMTTmpLGshjUQMZ+YwdeXAMxuAC+bxoCv1bioPtzi/cRSBuup0Lj6Ob5QuK3aHZ 6InxbtHtEI1DIqkzVoerFxmGnJeIZPnzZfdeWGOMOWvusglRMmaF6xM6aeYJNwG3QVsT8P5Y eyQOj8k7kbX+UN8DPr/ge04sf5F2Q7DYGFiQ44bcnYTAKBCLx/Zmd9qQe49KOKF+4/a62eS5 4blEe9Y72uN+3lvj3DMY9ppjCyYwO3CB489x0FRZzUGQM8zNXj57HMEK4+lm2dgD42Tosb/B 2PJWDpvk6D50otG8YDp70WtqztEMkiwSmXPsJ2PMXQw5O5rUkCs1f8i1l4HBbLyn1tiyebfN AZ7/1pCrBrwT98jB+Qo6j3USnNT92O2TgNpg4/Nc11M66qlQ1XnHGu700c7ThqRhohU40z7b U6e8+B45PL91DBzsA3lysB//awvb9Tr4//vEOhLxKNmOHTT2wt+Y7AbzAByZ7fghb4jHGAfe +M9rdpAbs8jzZgVz3o2lm7xBIWNqKgXGGdG7rS+irVSdlF6oL9etx7sItI64nINRe3MRrxPU DlWVgZmPKfmjc5fHAFXqSMR0fuzMlfB+ol21xs7C+2HgjiOpuutn5bh1qenteEPef0bvzsSu aa/wik2GqB9UlDjz/CDpPkkU2nAwd7GoWDNdrQUIHa0Yg28dOxzWh32prPwjKFgz10rlV33G blF04yokLxMD4b2U8L3eoLzDfKyvMuTbziRwJpzNNXFfkjmxvK5iocZsucaoIF8/S/GUcR83 qXcNdTUldvJ3nIiUMydBwlFyzElBMgvEkp06c1VsyIX3TJKJ4iPyvg8DOMxfZsj1AO1uEIYp WyRHlLYHk8Lq1W6YFnLOyamQffCIYhgEGglaonclddqI6yUi4XNeloG+Tv46FFrKXdJWSZ26 Edvawrs9wq21NXwO5XvkbXRXWokiIOH12RSETkTaz8edtya4WdyzITjmeIX3K3hz85C+cEd+ BajSJ4nAVHkBc+uAk3yKv8EAIy5OsuzcmH3D6IX3a1jE1zXFkF/DwzS9Ot76NKOWgQoCgoAg 0AkB4p0OMeSdsJZmTwS63Z8XkAUBQUAQmAmBQJRTDPlMSnDhWM933i8UQroWBAQBQWBIBKi3 DM6BiCEfklQRWhAQBAQBQUAQ2BD4A1HYOGlc00GRAAAAAElFTkSuQmCC</item> <item item-id="31">iVBORw0KGgoAAAANSUhEUgAAAjMAAAAdCAYAAABfa+2tAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CbpJREFUeF7tXdGB7CYMdHpJmtgO0oh/r5W9ZpxiNr3sA2xsAQIElr2w6H3du8NYzAgYZAF/ vdW/Sf4JAoKAIEBE4L/f3+mfn5/pb2J5vmL/T7+/r+nn51++KqUmMgLCOxmqjxcckistZuSf IHA7AsusRPT8Xm5/sbzwFAKKt5mLNFXX4/nCzYn9jfP9p4AY7GFO3IX3a53na7la3vM0Rcef 6VpUpXZBIERgmaf3xDYjCsL3IfB6P59sSuY9P57viJQxTXo95zemdZZn+rn78BjlTcJ7P0x/ P1d6/sAWQSJm+vHSr7D09Xzwrey/ApGOGsG44lvmBypUXDTUSgwTPIx2dIT+50xlxFt4v5jG QbjS84gvaETMXOxbUj1A4PV8PyQi061L0CYiQvOwzwzaN1QIeZo8kRMrK35EAJqniPDOg+Md tYzEld9WETN3eJi8Q380eD8fkiPTrytw8YdFW3TdVsSEfw8H6EjEpl9wG7ZceG+YHM+0wbjS CyAQuRUx04+n9m2pcrw5luzZd8vGsN4bOGobrb93B0EVnQwOfhmW8cULFD+1lshzJASEdxJM TRQakCu40BEx04QXfr8RsWTO72/5l7TQExz1rQqjKv73b///WOgcFUX1RsmTMQSE9358Y0Su wGdoETP9uGrHlnKFPzuGoHfT2QZKBYSXB5MUM5FtvCJmbnIo4f0moBleMyRXx+JIxAyDD0kV OQSUw0nCZg6kpv+uBQfndnoYbYmLmXhuTGx7ZtMgdmic8N4PaWNydSyURcz046v9Wir5Mv1y t1mObYU81yggVCI5M6lPk/z2nGvNtz7Nj7PwfpWvjMqVXRgVipn0CXw8JOl30He98KlRrfD0 1lBke2hlw4xtQX0D7sRInfhpdjltO1k4w6TqbOHUaZGVlKrHrrK33iL6k/WY1Paz5HM73wBT m8SY9Bl9oF54zgQdh15L1vNX2+Jy3gnj6BC898DV2o+Sc14HXNlFT6GYqe0S1Oe0A1AO01rr 24lg+IQBV4HmhNrM6aTZFoFoRDAgmDM16IIt+64WC8DDm5IHOfUmDnqzt9I5PM7KJ7XC/hk7 ZyZi/phipoBLpsPTSnkvHkeFd5NDxjCFrfNhSUWpOQpztUa5sgexNiVmapL6igmkjAfcYgNb ZbJGISiNurPMujrb+1VWzGzCLrMav7MF8XeBZOYu7K1BzeNPV1Hpr5f0T2NO/I6WmhZ/1zMI f7UNrOR9W22yL9q+j/dGuLpgLLuLq1DMaKdV0YhlCzvpo4Jt5GM/NthM8lvkxP6s7k/RYapZ 3Zdi/mb/b65wWUNtQRjLf1aXxfbI23KLPR00HMCKBktCfXsnpERmSPXF7srInJWxqeASoe2M V5pPi73TlgwnL/B3+PJIfSaKZd9jysMw83YHU2blsd+1o9pMuvrnw75abO9GzBHSBZE/kg95 M1H2mRzHW38zfdnnG+FvDYOGpzdn7diiM9VOHJ+BqQMlG+YGAhuS75C/WjFTyXvROFpg2+28 Z338gr5WgIdTtJorzvucDovu4soTMwchRrhsE+nxs1452zLYAIhNgK7iXCc9WI972WAoSkCd 22S8Dibu5xm6mKHVZ6ggqVRKfR6unpPSyPYml10cJi5rdCJL8NstgROLrxEvULha3EF9UIBG 37niyTeffd5X68YaNxfstSxK9lF8yH9b7pkcx17/xfhG8438XK+cHavd9P5Zgir10DwuzO3C 7Bh7+uOvBF9Yto53+jhaYtfdvOd8/Kq+VoLJWa7Sc1StJU5uYbKS8300jMzAySj5sxeZsdfe wqiNXcnB/BcsqgOuzEW/gft1IoNs0WBJqM9EkyhRGayNkaRTTITZgR67/bPegY4JBK03xVHi b9n8hD1qgwieTRzyiRkzQx7h6w/4ai0/NorlcEPySe+NqWeoHCf7K5a8iJwVRLC9qH+SgVW2 zLSbs9kwN5p8jUL2xx8hKRcdz8wvw2tICLwXjaMt8357X/sEVzbqyJnHeV8fvV7MwJW931EC B4nsTkAdyU0QLhosCfUtcwGhhPrWfuqqT9t3syLBFCyPzEQxKeEEtC2O8abqjVKBbfQmQ1Kk izyi8YuZElwKzMSL2pXQ5mdkHwK1pZ6htqVYzOjJ3EvOJ9he1D/J2CoMi9QxA+a7bQx13cwf LSkXRt5dImp4LxpHW+Z9AK5ScxSZmqDgfX003M3Evdq1IXQ76Gx5DiYYExEzQSa2Kecmkvq7 jIoGy0x9VuGtGoJwlxDBvlXLuHfPWN5pn5kq3AmZqNZ7kaD42OyyUSjqih5g42KfEDMULEua +WFfLTH1KLuofLIjFLlPEFQfgi9NPkPkuELMBJ8LCbYX9U8qsOTPloyYq77TPX/72BtZsCHj sh2/HO3IPY62zPun+tpNXB0aHZ+jqNSEWoaaWnC+X3nnzByr/3mBP8PtlSo5057Dom4/nvcz WXTHgNED0FE2R1gTRO3vE2X9zzvO87CODTqYlBreXrcmH8PfJ+pzElnRs2a8SWJ3NpAAC/J5 nGRBdBV5YwIwzDMicQI4spxArG19AZ5HYuSOp43aFK2kU12oAV/N9nDEV5xkeOCXOR/3BWjG 76wQ14uAaL9L9d+Nb5c/22AvUTBne7J/ZkGMFtgTsJ0SF2P+FfytizR403AY+cWOxqDznh9H O+M95+O58bS6r13PVX6OapkrMCYpjPW3gba3ZsdWCgUYOwNfS/Wd2fJY0P42iiLf3dsw7FIr 8EnXeyXRJ7n9uLrhamfhHmAi2l79LuxB9c7UjrfLMI81gohBO/zNTs6PER8weh4752tU3on8 svq4rcz7PC9cYSgfOa5NiZn1MwhYGZxyJGT/fiv1wc8kl/SC9iod69bsgrMjsj7J7cdnfQMk 9mVtP/su//lUUuHFmFeLmZb4w3YmUcfbQXm/3cd3JeNtRCmZG0fgasMJCL7GxIw20K7iwbY4 ltNyW6kPTwbmHvabq68kbwb7fIWdV9RcI0sNqvHJmmdK7aKUb8UOiq2wDKfdNXXVPFPaRrx8 kJTr54OQJu7P2X8OhRq7a545Z+URlPHymoQrFFiYnN6gmOFxBqmlNQTG/NTUGgtiz5gI4Jsb tvyz2CaAMaH6eKuFKyoF7o4pETNU3KTceQSGyhM6D5fUIAhwIJBMyoVRUHXh65o4XnA8BYeB UseOgHBFdwb/yAARM3TspCQDAs6qg6E+qUIQEAQEAUFgMASQs8tEzAzmAy0097LzdVponNgg CAgCgoAgcB0CkQi/iJnrIJeaEwgcd3UJTIKAICAICAKCQA4B7Cyp4xkRMzn85O+CgCAgCAgC goAg0DQCfwDnacQh1GrTGgAAAABJRU5ErkJggg==</item> <item item-id="32">iVBORw0KGgoAAAANSUhEUgAAAk8AAAAdCAYAAACzHoi7AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CjpJREFUeF7tXdmB7CgM7M1lN4nOYBPx76TSk4w3mN5c+oEBW9ySLF9tva95MxyiiqMQAv/1 Mf8e+k8RUAQUAUEE/vv9ffzz8/P4W7BMXFH/P35/34+fn39xyTWVKALKuyicmxamXK2E14on /acInBKBcTDCfviMpzROjaoiYHgbpEgzZT1f73JVtb9J1q804xGQxF15x+POSalcIVAbP8Pj UZ3LHogSNIkisDsC4/D4PMRW4N3Nv3GF78/rJaacPsPz9alIpwnj92v4lLTV+GrnuzFBGzVd ed8I2A2KVa4ooNq1qLSBU/FEQVHT7oLA+/WU81zsYrFWMiMguKMdh2dRGMVom91hSWAJ2qHs IhAQxFt5R+C9JolyRUbPrkmpgFLxRIZRM2yKwPv1earHaVOItywct/AhLCgd29i+Ydzoj0ci qmpptR8hgJZJorzL4LhHKcoVD+UUNxVPPBw11yYIGHfyU2OcNoF2l0Kl+Ct5k2zZQTTlf88X hIpHahcc7laJ8n4dxpUrNld28wa83Cqe2EhqRnEETOccasHB4pVpgeIIJJMLt3wbY5A5jezl AfDLPE0qlqDY4lqi+VAIKO8omE6RSLlaRQPcpKl4WgWlZpZEoBb8K1mHlrUhAonA4deUe43S mIP0/6WjiKII4xulOWsIKO/X6RvK1TquQIiAiqd1UGpuMQSk3MliBmlBVATEJmZTcRLH1BRP lWvtKp6oBDLTK+9M4A7IplytBH3Z2Kl4WgmlZpdCwHRKDfCVAvOQcqzAkXxeAnqT6uKpHttU u2J8CDhfXKnyfh1ylau1XC2bfBVPa7HU/DIIaLyTDI4HllK6zrvOHCCMKjFPraNeeXvWteZb c8vjrLxv1VeUq/XIhk0dUTy1X9xcb5Yrof9AorUDfytLTm1b1WmvSheuSzMbP9mWlXfDm0Kt F4XNM4nzTStJt7N5u7z1giyTUpNtK3v5FuFz8jHhjrNmvplvgGkIem32GfuAZv42Cx6Hq6bk 88dtMZ13xDx6C96vwJUbR8017xZcLaMjbNiI4ok7vCj5xmmhrH+Ww3Y4zON5rs6ZeIEjIbjL nQRe5/XjbquBtyWbgKY3bfACsVvXGRPAx9qaD7ddTYxczV5m50g4oy+ixPFZe+epYv49xROB S6HHEqm8k+dR5X2KARRYwtx6SCmotUaVutoNuAqPOJ9OPL3NZxXGhkeAEwRK7jCY+Uda3JR2 0aJeFkyj9kzjdp/zOO6KJy8kO96GPVtQrwsEv1/CXg5qCX/OZUybmH21m4xP78GmrBMcFK6b p8AftzFM3v3uVnyTyFkjuE3fJ99JuNpgLrsiV7l4sgPAeFJG76KzT5EHr838LPkkGLzXJ/xs vi1lXXqDET3T38L/p89bObdk5vJL886fwlq+uVP07JTeqAhljeH14fyNGNLkjChvHvQYzxOq vNq3hjpv1XiVz14gLOeBn6gtHd7e4O+w8kp5E5ehnik9dNv7b9h1dlbzt8pMm1GfTju4P5Pt hUIi5QTVh5JpvJunx/HktvXjPeW7wJ9z8+avw3ft8N4ndieuL1/YiXk5lgDeZITd5Y13OOJY WVa3/g344yoBJu+keZRg2+6834Irye/hLWTuztU0Ta0bo4l4WgbiJJT8orz8bHf9IY0VT+lk WlpMY7XsFlBYTuHDr3BhhEKtukMF9frF3wETH3fhxROuvMkclArHlJdgn0wSuM6VLGazYG18 XDfynMGzdwRvAd9JLEExHXAH5UHBW63T4Sm3fp6kPxMmfJc0juV7j6ORmZg+lFbUy9PjOBnj Jb6L3uE0Vq9nh7MbPz4pgGIfyZTC/Bv4o+AL0/J4x8+jFLv25r3Xx7caaxRM1nLVXqO4lkSx oc1CzjVGc88TXNiaPyeep/DJ81TstP5fEEZOjwAPhRcA8GN8xRiGrKw8CI80OSPKmxY5jNfJ rQyLt25eICvesUKM01ZxG9VyKbyBtF07Z69UQWB5MSonngLuvq6D+jNnUgljIPoIJbIPRfW1 8mA5bo7pfJy5yTCJ00PYThqfaFCNLcPLWNT/J4Y5mMOuxx8iiLs4n02/ZPFOmkf7NPoUB/C+ +1g7gqvgsZGMwz2AK4Exur14gl6JdNAVxZMJFE8+zTFNqkCk4MVTHFBOmpyLAyEubxwIHQhR nhv1sboOc0VXlEwJ6Z6nKiYU3hLxVA5E9LuWSRnBNiaLL8qTh55BvWgVFE8UXAhmlpOGnR60 H/ZB+/fOpYlWv8O2hSye7AYosQvR/0njE42twYikxgUwn20TKGtn/nBB3KFded/j8E6aR8/M +w24aq1RaGqyhNcco/ltO2nPUzhuCBOYj0GZdoLFI7nBHAem6MYLbHGSncqKA4/TW3CkyblT XlCdTrMgvsWGsM9pp3KwLe7YjtF9Cwuj+64cFDveriBgsR4LgE2MfUM8YbCkNPPg/kwxdUkb byDmBQnbh2ClzTxIjhniKTt+RdhOGp9YYNHHwIKYm7EDN4CX5G+enysbxOLG180TkVaVnkfP zPtRY20nrpY9Ae9CSJW6i47R5J2nxXMxjPBneJXYBOqGN46Ma36Y3zuygwx6PsCg853KBQuH 36dpK3lTb4pdwG156XFZVAesx1MGg5jzr426gHb4+0Z5+bFiugNLFqW5c8PjyAWfKHCtuEve MWAcHhlSeQucQKxDeRmeSyDtjGfwSpE8Ba3Z9Mj+jJ7l874XXbAA/bLXx1PB2+l3QfjbTUd1 bLbGuOc75i+0Owks7dneHJ9YLPN0c8B+9KfC+JTEXLKsHm69Mcrmz20K43k29WyXvJ543vvz 6MV4/2Ku+mvUxbhij1Ewv/nQhNM9VdCjIvPE1HZCvYLA36OJ9kzlrbkCTGj/OZIW4ibOYdim VpQX+aRKZJ+U7sfshpubr7MXGWk7u65SRlNn60bmZpjXGoHE4Dz8DR8YsxU9Wpwe+cI235V3 JL+ifTwUloQ7KFfYjRRvjoVxepcTT+5YCex8VnXc+CbEsiPHP8IZUyBYHjx22mTUna/Q1qc2 zmftWosKfYW9+Ar2u7XNcoNoCdZeNT45xrSCUDfG/Cv4K92cw863N+V99z4+K6fk4hJlbbwp V+wx6jMCsXpB8eQn58l1Bq6JirzGfZbyysHjnKXkUnkocU+l48DSm2KXAqBkLKdPcvJsAdRZ 7KC2TdJuTlmcPNQ2ltNnQdxpPA9KKBxn/zoUOHZz8qyzcnE6lW62gvhf5QoJNJ5DeDHiouIJ iYkmuxgC9zy6uxhJau6XIlC+DOPjnWqXRr4Ui7M3S7k6gqH4dqCKpyM40DrrCNwqzks7giJw DgSaQdzQy2u+O+ouGhCeazlHE7/GCuXqGCrT5zhUPB3Dg9baQCDaVSlSioAioAgoAorAkQgU 3iFU8XQkIVp3FYHN3rdSzBUBRUARUAQUASwCldMQFU9YADXd7ggs30PcvWqtUBFQBBQBReDW CJTehVsAUfF0686hjVcEFAFFQBFQBBQBKgJ/AHjeOXyhXU9AAAAAAElFTkSuQmCC</item> <item item-id="33">iVBORw0KGgoAAAANSUhEUgAAAtoAAAAdCAYAAACUnMsWAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA C11JREFUeF7tXdux5CgM7c1lN4nOYBPp35tK32S8wfTm0gM22OItHrbBPlM1VTP38hDnCCGE wH99xZ8H/gABIAAELoTAf7+/j39+fh5/Hz6m/x+/v5/Hz8+/h/c8aofgalTm6uQG73X4HVkb XFWiLR1t/AECl0ZgeonN5Os7XXqQGNyKgOD71Yps0dbz/fGDG/pdy/6vTmtLrMDVONoC3sGV jcDQ9nT6vh6P4LrzGIdtSAoE8hGYXo/vo5nXld8/ahyNwOf7fjfzsr+v5/sbcLPngX3er6/P D5/e8XpHo9Jnf+CqT172lgq8741wu/bBVQ6W0t/wBWbgaOegiLJDIfB5P9tFNoca+Y2FbRgp m15PrxNtoisiGT5nvKEcl2WzIUbgaiAtAe/jkAWusrmSfoftbMPRzoYRFYZA4PP+PhHJHoKq lkLyHC5Gj75jTKlT4njw8bAc8FBZ6F8UaHDF0MMLFgHv45AKrsq4snGDo12GI2p1jYA47noi J7trinYRrhXvvii1bFs72O7v3QUpEOneZdwjNgquRmStXmbwXo/hUS2Aq2KkZVCGnHTC0S5G EhW7RUAo+St0ga1boSFYNQKWcSttT+bZOcFoeaGW/NAtYzvW1DEvleTC9cDVhcmNDA28j8M7 uKriigZf4GhXQYnKPSIQuqDWo6yQqSECljNc3rIbjbbz7uz/+45YvQ57uVDXqgmursUndzTg nYvU+eXAVR0HJKUQjnYdlKjdHQKtjru6GxgESiHQbGEQHVl511FHO/AsFRztCGHgKqXN1/w9 eB+HV3BVydUWsIGjXQklqveGgFBuXELrjZRD5JHOcMunHGmUOuxoh3OxQ089HQJG552Aq84J 2kk88L4TsDs0C65qQd2CfnC0a7FE/b4QQH52X3wcKI3vWaW67okTHcjRjqUptZenbjQ91W6P Dbjqid+QLOB9BJYWGcFVPVc6WJPpaMe/flMm1tKm+MCl+df7oQhZlv+aRLsdmdyZaPk4b+um kZhl8z0Vlq4aLWEeV9/w5YPY1+HEp0fWlyNaHouJb07GvgpVTule8pZLxK+5FyZhCUrne7Te qieEC31JKKpreyxUfPTzSo7AFcMG34KrPGbjpUfgfZlH0bXyFryPwZXWt2Da3C242madDsRk OtotJzltazGi24m/MqpGCoBUNL6Tu07OBmkENGo1f2kw8bW4JEok6lrqHHj7UO/8GkOef8bf nCRl77EAfVQ/+sD+aI7raPIWKkejjyKUzKUsOxF6Rzsw7PYRoUJ8W1Y7iatsGwyuWrI+31lo sJQuTnNOQ7lrJXg/jyutcT4/xKeNN+BKfzSvU0d7Prcw3iEsuViUPak5pqm145qIinFEWneR 4rPPb8bTZDlt9l/W2qQlHW216WiI+34YkYudQ8hbgoS9yS5pQ9UpPKXYxU4IkUpsVsXoD6h6 PlfzIFvb4Ety1VIdOuF9BxuIORrRk0J7OoX8kEqVHJEr19GWoIpI7aSOaeQnJHW0Z/2c5Gzg VFRZ//st6okUiJcAd/6d/v8kUaVpISQabded3Ik8R471ztf3nqNuY9Jfa3Pfvs1aQBntrUae E9FmtSfG/Z6BSv9JtaccTL8yJt705e5AQ1JK3dGpPwY2Cf4/5Pc0yhFob9YJ3c9cnh4nK31J RF6kEfioxZoF/anzQsygXHkVR9txKzmBSemQj99knRTH2jGS89/m28NfeiaES0hZ7WhZUn51 NJ0TZWPKyF0YwNWqtMsaErHpWTaYydO8UvkCFJ76zbiap4VOicAcTfOesVb2zHvSHg1uT6N+ SAYxnqIjzlHL0d7InZ1q5Xht/5ZRQF3Gt2D6HCbTeV6cJNoOcaRth0k6U2Thcx1m0p9y7Baj ZaZI8B1tXnsz96xdNac9C/OoDqba24xQSBl5Smo5PjRvPuSIGNElmkfG4F/zNTvWdAOneSTt 0c1WsM+Fn3Y+09nzotQwmXcZPtMkZlhKh3x9peqkOLZshY/vpvnt9p2ElPzLmPl2IocP7gdr wNWCKo8rvg3umSs93m29whzdNhvuWp6zVvbMe0rHR7enaT8khx2z7NH2tM0cdSPa1HmJ/tuK aM/hwXm12qLdqf/bZZWjbQY1tWMeuFTktOFeFshaQBntzYsBJ5rtG3/AofBtELzKGJNPRID0 hxBDDvVe+aLBdmP6EPldUs412u1xxtVGqJ2jrfVa9XX4vCg3Szr6v55GZeik0WtM77gcR22D PW8Zl968Y5l/KO56WPcRGPM6y06wKRGyvNTpSaIOuAqsIV6bmWGDe+ZKbi3UCR3mqOU71K6V PfN+ZXvK8EPY1DgFT7CnDebo/o42jVLaCyPD0dZRdek0eZ0vr8KalyWzFlBGe9Mr41Iho71F l8yIVlARI+0ZKRUqCm0Y79lffH7tn7l95Ue0gxjn8E/GFuZMRQNmL5piZjlqrBOHjOneegOa g0uGmP6iOoJCNwp0jsjfJy4Yx/SYO5YMR5t36Y2erpkjd77QyJiHWXaCzYmQMWvHB66cYM08 z039zLLBPXO1ygbeObxnrZU9835he8rxQ9jUOAVPsKcN5qj76khrh0IfBerFRuW66vzYNdd7 HkwgR1sZWe9CqNJb1rWMtr8GSDJuOCfa0zuTRdy3yEnXofyA6jDkW/xskTbBWZCZ7dWljhRM A48TtWBDHWM1Tn0awI2EEqxNHYg42hxucoZ56rzIEZSWnUTu/6afq/PJ1CGj12gdJscZjrbb d2Bz6yxYqqadOsQY8y6ONjuFCVytnLe2wdzpcwZXwj5ijq4LtTgNJ3esPGt51lrZM+83sKeL W+PemePS4i036By13tHeIpkvdTFxvuCoosnzBTRxDLq+JS2OZ1/ru9JyIaSRULIwKqVaLrDp n9tlSd6S9Zb26n/KduyUDaNt2v624JoX50xHZH67mzq4kfbcnZodBbQcDuUgSuOxvQ9O8vHo JRivk53XnjEyr4IfeBmS5smz+Cf6oDmmlyF1ew4/W07fyo+OdnM2LqxZf+a8YAnobmiWFcl8 m55eKg7o5NJbgd6lOI7ZCsW3yR8ZtzPv7RMXXzTeujRVZSe4HLjl1kusxq88+IKrDaEqGzwY V+CdxbtxYbSZXVfWTl80xxyNvFOeaU9X96uto32KPS2eo1qhtlTGTp73SxtJZ4cUimilm1pL GORduT1u1DwDu36LevJ0+xW2mWR+Q2Q1z9Tx1vOieJBWGpDxEpGdtmLsNrc7C+6xdLE0/IoC 59iLNuCKQEnyOm/FVUibMEf586ymJObockeAZhyE0ggxR01NY85ReqdvGEd7ibZ5nghMZHD4 56KbqlJn5Dtuj6Y+1BimgerGPos90DCYonp0r3gRb63HzCF4i9mX3nLmP7k4wzaKNbLSurFL O+DKRfmmXGGObpeFMUdbGZ9IO7CnZrqyDVVL26zaJoGigRxtKbyOVtKj8YwLikE1vGp7zIuW B0zzQ7vIydP2paSs6RX8L5EeOr6izkp0vKROkXBOJefSm53byFqcz5O/DoUSuUvq1Empa4Mr nSJYuxaVcFhSB7zXI1CCe0mdekllC5ijx89RejF/MEe7jdKhlasjcM/0kauw6r94rPKzQxdq rzL4wcYBrgYjrJG44L0RkAc0A64OANkNFRmvTsHRPoMD9Lk/ArfKS98fzqN6iF48pqcPT/Fc pXHJ+igJ0c8WyaaXveW/7dQ+9XtwdSmlwRwdh05wdQ5X9jOzcLTP4QG9HoCAsZM/oD90AQSA ABAAAkAACNwYAc+3POBo31gf7jD05u953gE0jBEIAAEgAASAABDIQyBwkg5HOw9GlB4QgeX4 rPai0oADh8hAAAgAASAABIDAzgj4vpGwdQlHe2f40TwQAAJAAAgAASAABIDAPRH4A6SWnf3r GpbzAAAAAElFTkSuQmCC</item> <item item-id="34">iVBORw0KGgoAAAANSUhEUgAAAqsAAAAdCAYAAACNFyWwAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CyVJREFUeF7tXduB6ygMzfay20Q62EbyO61kmskWk+0lFzDYvJEwtiGc+Zo7F2RxDgIhBPz1 ET83/AABIAAEOkTgv9/f2z8/P7e/T9ft/9vv7/v28/Pv6V+++oPA/GoGrvk+eL8G95qvTsmV dFbxAwS+GoHXQyzIHp/XVzfyCxsneHu0Ik3Iuj/fcZBS/9fy+6PQ07LNwHwU1j8f8A6ufARO Hxdfn8ftlhzzb+MwBE2BAB+B1+P2uTXzePjfR41aBN6f57OZp/p53J+fhKuqFHw/H5+YL/t6 5uvVtq7PesC8T16O1gq8H41wO/nfz5Wcs2OBBTir7XoRJHWGwPt5bxeZ66xtX69Ow0jP63GP OqIuhmJVH3NoG+rRPWcN2wrMu2d7UxC8j0PWJFzJudt3WOGsjtNNoSkHgffzc0dElYNYV2Vp zg5B5dhWluwbYrvpdvOc2FTZSfoRMCf0py8sAt7HIXUmrvy2wlkdp59CUzICYqvkjhxVMlzd FWzFXyxaKmUbJzX8/3AySERcu8Nsr0LAfC+CY9YH7+PwNhlXMqhg7XbBWR2np0JTKgKikz9S h2moMlDuOgS8QapWEZn7FARF5WE7649hGd85tZ3bWk0GqAfMByDpABXB+wGgHiRyQq7s4AGc 1YP6FcReh0DqsMx1GuHLLAQ8h5JV1ykcRkX9XCj/37FttqjTW69UnzWBeZ+8HK0VeD8a4Xby Z+TKSs2Cs9quK0FSFwi02irpojFzKtFsUBbweXmoWWc1cVULnFVmNwTmTMAuLA5buxB85qen 5GoLOMBZZfYXFO8dAdG5JzkQ0zsTtfpJh7LldWN2tDTtrKZzU1NXqdS2r8d6wLxHVo7XCbwf j3GrL8zJ1RZ8grPaqidBTh8IIF+1Dx52aBG7tmSHOBle3a6lSuSs5lJH2uuzrzVH1G7fRmB+ BE+tZYL31ogeJ29Wrkywgems5l8Y2EuTWjmoK2X0Re7BnWLy+/RT3u1WItK713r5191UNnpr K+UOSPpH3C3LWU4yW/jkXs0R18KvJ8FbbqlIZyjz8gadPb/kUfrWa0SvWY9Jrd1m6618W5ia AwvZPiMfDAjv/KPjcGbJMzEnjIlTYN6S33r+arWosbXi3DUF72NwZfpFMpVpAK5MIIHprNaa RLmeemnIdkQliI4DIDsH3bFbDarBlrAddVF6Fl7DKbbWiv7VDBZJ+fr+SKfJ6m90B7+oe48F 7EVN9tLk0Zy/0fSt7BweZzU2wbL31D2rCfXHcVYZ+O/EnD0mAnMGOYSijS6HZ9sad+4C782e smVzZbpRzC+IdbFOuTKP+/ThrCqQIo6oZZA1hxyqyc2NFa2dv0JUhzBsrUXk05BPwnU9HJn9 l10iPKuDXnRWtePeEPfjMLIOiw2hbw0SHn9SRGXU+xB7V+qk36uuafH1ddphrtrSekz8Ssxb sh7hr1Z8pa2pzx0wJk1haydzlfQLavXQ9c7iKnRWZacVEcOX3oqXT12ZaMX67JXtVJrfxZva KgIqHCXlcJp/q2e9l1D5srVvOaNe3bu4pNuJqvogxu4XMzJe5jWacEJhTV4EeevATImskuQx 3vktydNOWrwDFe6KpK68Up1bR8EVzw42Bf7f1v/b4eCEvCX6bqWJqG1972+FiMP61rtoM+np +QvtQkLC1ldz5KTUGE5KfSi52ha2m7SzEsfGmZH27/Md4c84P/6OCEF3lr0zBmrqoDwj5qwx sWfMVTe10tBGsxkGtk5RaVcVtibQEnO9muSb/kxha7WI1XCV9QtqFVnqncWV56xuk4hyTLXz sv0uo1GmTGzSiTkd7upv2+YPy5a21sNJyJKhB5VloHG3u+mTF00efTVJkedhnu03JXnbwJHq QLSO5TkP60JD5xAnnRmDu53HQ+Df8KWcU72YcaI0ljx7wZIqs1hQeBF8tU1eaxfVaitb3Wzh /XqJqaXUh2JfK9UpceyNFTG+o/m+fq51SY9Fd7q9c5ClPgowJ+b0MbFnzNXAMbjNcPC1y9bY Gmfu4ug1i61xMNnDVdkvqNVELVbWlwBzUvbbVRhZtR2A7O+2UxGJlgpfV88c7tZ+LCqry6pJ JhOtjOaMBakDYcIza/IiyHNOFZdYJskzq3lCTmlOnoh6mQebUk7pUXl3Sbm+vhn+l8XR0peK eq5R15iD3NpZVR7QlvN7sl2Uulh2iNBR6HVXZPHmvHQbwiGBXB0qx7lyUWc1clcuQXeWvZPB Fbo8nmJoLv+YyP9MmLPGxDKEZvI4H3M1dCy7NOPxRzjsFrV/9cfwaWqCrS3iCjuiZL5NwRls 7USuCH4Bm6K1wnlcHe+s2tEy31B8Y/DLrn13eTaT7qy6ea+syStqoK6814PgVFq6u3m4qQNi 7soj2Xky+jnb4zoa6gy4emDx/xZ+ix9ZTWLM4d9zVuN3bOrVvNqysjHzHK7WeVStnVUOLvUj ia5pIiC63xL6ePDJXB1qW9jOqnQcvBx2gu4seydjKzBkHdKcC3PWmNgz5qtu4/FHO+xm2hWe DamxtQUu4tzVM+8nj29nckXxC8jUBAXPGxfD2wBaT8pm29EM9Dr3T0Uogg5iVrW2M7htT0Qn ISXDPVjjR2dZk1dBnvHuFWeibPHteYJ+i727b5XnndV8exdx8cMgtDSAiq4bcUQWbGznUrfT zwOLReET8lwuM84qhRtOMy+2C46qW9mXyCfbYoHrZETtk/ZHs3WIHFc4q0E6B0F3lr1TgSWn lcyHOXtM7BlzMV4NbzPr3JoIqkTmXTMHhTfIlOca8tzVM+9XjW8nc9V8/j9xXPTuWd0iao+X /buVdC62wtbDLHeRF7gebJGGYUfkLEPRHWE5FGP+niirHa31AI2dfyrl+GkCjmzv2ivjBDqH cWyL8SbZteNYh3Ws74crFH91ypPnJPJHozY8eU7Los7qiQesfN7WvNcU/1Z/MBzbB6yMvIDv 7TDXyo+JurIiYbmRtA+7yI/1kb7iHGy08o1LNuMvMAp2YRZuctGYtPHcWKH5dvkzrfUOcJR0 t/tMM/6tA24OCcC8PCZSPZSw3Hqo8EzMv8JmBGDBXOnvlsWuf6TbWnnuGoz30rhS8mGqx7fj uSr7BT1zZc0DAmO5n9rH1VUEzIKVQWqVSJBlijiD4jfLo0ZvGdj1WzSSg9Wvss00i0/wnnhi H29tF9WNtHKuYrsx1XKpFQVeuQPPwJwKJKPcVZinVBzOZh5Ozq1aVNi7m6m7ymFrjE7aqKiX sgauYrhuO+zDOKvLtnLmQBer/7inmLcIEf3RAfdzHcuzt7FZGI1bOPd05ritSs6m7j2zuQYW J97W/Xgv2lYSf1H3vd/y6+cOEERwqnZ2gPkG3YWYfwV/sZP91DkTttZ6BMnLA1fRu/V90CyH fiBnVbbCRM22qzOy97OSe9+3ymudAE8G9NqCnLzVWHpB7G7ga1vU4Os1fbymTgNVAxG96MFt W43eNXW4elHK96IHRVe7TEu9a2TV1OG2MV4+OOzm52OSFnzX6b8PhRq9a+rs09LUBld+6liq T2+LrcGc1TYdBVK+HYE5UwG+nVW0DwgAgTgC8cNuOl81dbAVYF6CALiiwu7eOABnlYobyo2F wFR5umNRA22BABBoh0D2sJu9cyQucV8OQzKuYGynJiQJBMAVvRv4V6rBWaVjh5KDIeCsYAfT HeoCASAABIAAEJgSgch96XBWp+wJ8zS6+f1y80CHlgIBIAAEgAAQOBeBxK4onNVzacDXLkBg 2XrB1tcF0OOTQAAIAAEgAAQICMTur96qwVklQIgiQAAIAAEgAASAABAAAtcg8AehH6KZj15W kwAAAABJRU5ErkJggg==</item> <item item-id="35">iVBORw0KGgoAAAANSUhEUgAAAe0AAAAYCAYAAADXnKXlAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CMFJREFUeF7tXdu16ygMzfQy00Q6mEb8e1rJacZTTKaXXJ62EBIIgl+Jzlr3IzdYiK0XEsL5 62X+bvqnCGyEwH+/v7d/fn5uf29EX8mOReA4ef1/+/193n5+/h27IKWmCFwaAcIubNDWP0Vg EwTm6TXNm1BWolsgMFJehtb98aS55L4bOf8W+ChNReAIBJBd3I7gQef8BgSer8dDI/Z1JD1S XvNruj9eTMh2kDwf04uK6fOj/Nx18FROFYFxCEC70KA9DlelBBHQrOla+jBQXvN0JwNyCggT 2AfycS0BKLeKQAEBYBcatFVTNkFA5rg3mVqJdiAwTF5U6fv5eN1vN9M7g4I5N1bPVDokqI98 NALWhoJdaND+aEkftThTar1PLy2OH4V/67yj5EVlz5Z2DNb59/lmoV5ab12djlcEro/Aahca tK8vzfOtwO4KK2ea52P6izkaJK95uuWNhyabvoHMOR+DgzQM8l8sE126IpAgsNqFBm1VjfEI IEc9fgKlOBSBYfLKs+Tn4550kePPVFmeDP5DF6zEFIHrIRDtQoP29WR3fo6HBYHzL/UjOBwp L3ROXQzazNUvDdofoVW6iMEIaNAeDKiSWxGwjhqWRBWbcyMwWl4we+aDNn92bZ0Te8f73FAq d4rAZghEu9BMezOIv5cwdtTfi8Q1Vj5eXiAgM2fa3D1ti9h4fq4hB+VSESghEO3iBEHbGPhN 3mkszwrswb29ZoL+EddJZDQl9OAYvmP201WTxhM0GI0sxw4F8wo8cgu2dkQ0ggnwkel/Tqj4 3CJjgGlseCu9Le1SQbsf8xVNCY3oIyU+yFNOZXPFjnwJLjXlltBowfZY/04H7d1fbGABk7yI ASiiDcLie5we5GW4dSTIsTnlFtMs04PZgy1l3GIHtbunKt+Y1FTxlN8D3RkatHfVySsH7Qat QJj2BO0mu+HuaTMsnyrT3lX/DCDZfNhHdvq0M/qgi2F7tH8ngjZShgYf0Du0p+GkzcHgNfnP +LxMTlNGL2x100B92uyyV3rwOcKRZBsrcBe4kmmtlPfWyR4eR+C3Jw0C007dlNtN2/p6/ELb DNLRR+hfWi3JsZD5IFI2nXKWotU27rrYHuXfUSMaKrusqakrufkSM8iI3a7NfDbvD17Lz6Ac jMYvu3L7/zD7xHd5I905vkEpL/e1OYpUMTwfeWYvpymjtwg1WV/l/mnIRsRFBGwhoYrg5JHM 60tErAyf4Hs4OUPPVRAiPTee0B3w9h7I5vL+XPN9/bXkB+ikTXTiu69FPILtRazYYB23+lbQ 58zRVW2gJk9XG/X2mcmWwZSSV5UPXIJtc9ml0dKgzfqVVsxjOTnqtbMfRq+B35uMrnicS5iH lUJ7CvO45GGRFTNf9r4DmQ+qVrsq4lJsg35zleDs3QYV/w7w7sWW6B7H9f9UObyztiVewskv ihc4Sz6nZ9bPeXY/JJArFaAbFNUvLi0rywOs5YVz/KnGymnK6DnqRDYpc0bMuVWphJ+UvqAc BTKM+DqnAh1QxB3Qg4rKzukWX/3BCJmL31cnZTxRoygdl+lzSq32TE2eKFBTsg32m24Osbxq fHiu5XbTgqzU+Y3CPOgr8DPRRzk9Xo7TsN+Ln6WYr8nCihukEflYExU+8OKNc44vJxuZD1Js q0em3f69F9vVLkAjGnKQpUBcDNJw1+mVKWZnsCxNnlthuoSDaXMUwMnZoMS8pUtOU0aPC1pb ndWxdDtlWOVzyRqIwO7d+aDXmO6rky2hBY+ldHzNouJoQWNMyQak8qxuonEFi5DXcFuUomt4 mWS/9DUMc8ZHpUE792uJfIuYpxuRxN9kCU4atPOrbzIfxPm0qm0HMSm2fLx417/3YbvaBR+0 Yeblt9VEKShIuBbEfegOZVrv6OVBOy1nywNsDB6rEXD3P+U080yHuk86T3TTmcxg2jNtlv9O GfJ4BBm6NA3uGPNgNOYHKBDdzvWEtHDV3yV+pDopDSv8OESPDHyVxsvSM9L1Nwdtu7FGfAl4 l9tNC7IGw6YzogGYs/owetMYM2TgH94J2mGzQfmgd4N2SLcSn01vQqWNxNjWrovte/493cAv leSqva12wQftGGSjAcFMtbYLT5zLbM6+11/Wjc6BVCpHF3V7o+y4zVHgZgc605HTrNOztBaf Y9YzJWvvu5JTdXmEk/bzwiDrLBx1tBN9Csn53Lops/RSnMpBO++Cra6CGIDl1bAeXKUR6GQP h9G5UTrunVxZn7M5i88I198RtDN5CXiX200DsuKOYtqvdGFudIWUH9YhaaUDJzml46JK0M5v ytR9kJ+efsGRtDw+TJ8/DNv3/Xun3gK7SO5pL01GMeoEw/WNR3F3CDPBdceYNCiZX/XxP8WH zsDhuSw8H402ncwH5wwDYDNHthtHDg2dZy+70YVGCFgszXZ69+xeONyF7tiIBvsARDIEMo2b pKRxJsg5k8/a9JbpjsW/3m1W9ea76mSVG1AxSvQPnHdiHU/eE4ArMFjHnLcNtkNkZUswwN9B +U2mnwB+n8s2l1WoSkF51fgo2qIISHLQ0giYfEvgBHtr3sWcoxUyWX++aZonWVxrmNPVs2mu yCbzkSmddp9G+SDF1qtaHdt2/z4OW2gXh75cJdv1ZRl8u/HTRt9OZylixG7ifhIhGUt/7ehd cpd43nRNg0LDJViWMinSM6E+J7SEz0j5bBoH5XUEH2bO0j5vM8ybQOoZ/HzNJkAnfxZfwTGA LDMW8lS48qXYCjHkhm2JLbKLQ4O2L98yJdpmDHHZqJkAemAgPecAP/zlKiTc8qaid6W13/MN elENfASt6jNbrhTIa3c+SrqyMeZbQmpzOPRLZy6vg8doxfmRj+zllfVBiu3bicWm2OZ2cXDQ duobOo1hifGTAhw8++21uA99jiq3U3fKL7n8Hn3ueWYLcM7CR+vazsp3Xh5v+0GU6CNb8Yjj R/ggxZZGf39sTxC0exVRn1MEFAFFQBFQBL4LgT/2jc9zOPTkegAAAABJRU5ErkJggg==</item> <item item-id="36">iVBORw0KGgoAAAANSUhEUgAAAWQAAAAYCAYAAADNjIcuAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BrRJREFUeF7tXe2VrCAMta4pyHqmGpuZYlz5NIQAAeIOjrxz3o9dEZKbcEkguMs+/z0Kge39 3j+P0nhcZb9ni8/+fm/jAnOhZGNhHtthuVD32fVoCGzrvj5zHo5miX2XtMXR1+udWGZTzyTH Hw9dWiJJnaUwRzJNQr6LM3XL+dyoqBs68Q4kbbHt6yuf9Xze607x9feiRXFAGR2Oizm0wyRk hil/oolkdPATgHxRCUFbbOuLJNtQuwRpC8rxRTR5QwvqKo45kG0SMs+ct2/Fc6Lbq3kLBcRs QaXNn/f+WpZ9WRBRp9o+ZA9raMyVzawdJiHfYgr3Cnmka691n9vHvThKvC9lCyrqVX07Io6f x6RU3u6Q0Pj7fYyO+WmHScjf95brJVArcGGf8Xoh5ggaASFbbOsSH9AeUfACIt64DSZgSOA/ bJ/hMT/tMAn5h/3Qq4Ym6hNUHlZHMVvE0e3n/QqqLfDPVNpOEvuw4DUKdgPMnR0mITfa+Fav iTnkrbQeU1hJW6B94SwhJ8q0JiFXuslFmE9CrrTDnZuriQpT2TvrcnfZpW0Bo940Iaf3ihUR JGuY7w62lf8OmDs7zAj5R5wupwaeqA9QeVgV5W0ByDaxh5yqQzZb2uE2x7DAdQgmr6M85k7G k5B1uQynprEWmUP4hX/CL7eaqY1yVf6DS4CecrJ82onGFBzocNNoUR9pGL/W9S5rr3yaOFRj jNfq39n3vP0Apu4gK3ej7FaE/J+Yp7gDGFgYc0TIRtmodpHhYPkmql8+yWunU3II1EbCqECl AwusMtDEwl8kumH4Rgeg2FyGkKV95M6EXGFQdCGhhZCr5kWqDjkhsnz0WIHNVU07Mc9yByWz AOb/EiG3HBi0OGzRrhQBc6PCYucjNjArvF/XSF1BbWYhivIaikfIdlHkjj8i1FmZkB1U20a/ u2ReaHHaIv1xTSGHudbxguCNwjw+1HOTbXM3ffBmv4uQYCR9hvbrZp77AwKq9o8YAwfDVY7H 6M+DGtXhFmow7arXHKyriaezDhSdH9czTDaCMhJPduA5HDzRn47+XX+6PUy3bLYBbgLBieTv 0B/PWR//EvaR6vGt8D5ihNhyfQECUHynZCs3YVUWiO1G2MFN8NjpzXYhmHtd86KCLbmE/ETM 09xRATDRtIKQAXkEhBSuOoYEXMrvtiXCj3fExAoc1pKjMXK4dcAnZF5/Go+ukh80sTyZZrZW glUV7n2lcIQT/4wa/RZSqj+46CXH1AAUP0DDcjGXmrnFrdNHWGNGjcIzic8RCHzgIpfxrbCr kv+UbIVI2PmxXjjBbblorxnboiSHkZo/L2pQ5V4MeSbmOe6oQTlsS2FOXQwh0lFfEoOflX62 DhSV00RjxBv1VY7H6C9HRlftnyX7zeGWeVaU00fPcJGEqajQ1VFhH2l1apcVBP7F8gU0Yu4d rq2yc4E6iCJswZC9al6wgT1kWXnfx34i5mKBTGAPCvPzd9kqC0/IwaoP0zQ7kkq1jj1LOEFI EiEdLzz0q3I8Rn/bmj68KxKdiU1AtQbYHsgcPiZ1yOFYIGT6oNNGVzq/hVFMTAQiH1fJEXKD j7B5g2zoIktrX4YvRN3k3uHaqpqQVcKGDroZslfNCzawB4ZVe3LPwjzHHWyIqQwvwvy0Q5qQ iRTYk4JyVpi2+r3L09FIBwpSXLOVEFQ/1KZmhf6UDF73o+2KPgrL3T+rBp+YpGZsSKBIf25E ZvJXrUuIcZ6QRT6ITsoYRuU1PlKNq8khj792cX6M3ZMbw7doQkaHn/6sgWmrBkKObMGQ/RJC RtUIaXs8D/MSd7T5rpnzMR+fvwMXQ3AkiCJL6zTmAMk9s++oEfxzELHgg7SgD9iPi7TBQRi1 iuCoNNNfcNhFlvT946Ee3CfP4eixBbZwGMJDPddfpP95BuD1P1ckgT/bI+wjRa9GpGgJ+TwU Bfv4Jd/Ci6Fd2MynKt3/Cp/XB4rHRPK17urd2G6xHWzWBU9RS7JD21dFtHmA6Q/UT8zL3FF0 3GQDCvN/+0B9FIESKW+taoFCPf01lh/VyjtU+2NrKfWXfoaSEwnD+ssWTF8Q859ewKAtmLL3 Dhm8f4yZq6yZmIuibTqjMEe/u/jqtKvAsMp1OR5RX9jaX7AdcwHww3bJP8QZQwXC5inBir4g 6D8i4ABbFGUXGRB0kvODibk02paNiQPU2A4XE7JNz/TH0YnSri7NW/sLS3i6RPi1l6ktEKpm eji9W3yh5Z0rFB9FjlrdWuRueadWLk77UeSIZf0HQuYANNtMBCYCE4GJwB9m0EwIzooyJwAA AABJRU5ErkJggg==</item> <item item-id="37">iVBORw0KGgoAAAANSUhEUgAAAYEAAAAYCAYAAAAcR0EbAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA BwhJREFUeF7tXdG15CAITV2voNQz1aSZKSZPjRpEVDRkxonunv3YE6NwQUDAzLLPPxMBAoHt 9drfE5kuEPieLN7767V1gcGniXgu5rFMl0+DO9f7AQS2dV/H3Pv9CUdSFmquv1fCtaeeSa7f H7o0RZI894g54m86gV9RzI/ROW709zGI2QtJymLb17/86e79WnfKR3wvKmYDJThwDMyhTKcT EFSfR0wlGQU9ApAvMiEoi239Iw18yF3CUQjS8UU0eUsL8to15oDP6QR4qjHMKJ7iDgPHVxkV kwWVkni/9r9l2ZcFOYfU2EHyg8NgruVvZTqdwFe3eW+Lq6Pw37rPckAPcpGSBRXd67md8Y+f x4awnErqAbHrNIyE+SnT6QSua85zZtDRQSFv/BxmO+dESBbbusRFfhXtLyCyj8dgow+dRue4 XSFvKMxPmU4ncEVpnvYuMg5PY++n+BGTRRzFv19/QZcQ/j+VEiGdyU8ByiB2MMydTKcTYOjG MEPENsEwiN3HqKQsUJ4/6wQSLY3TCVSK+gcwn06gUqYjDNfGAaYJRuC5Vx6lZQGj+7QTSOf+ tcFI3jHoFcRKukbD3Ml0ngQqFeXJw7FxeDKvvfMmLwtg4BM1gdQ9AY2VPD39SUCex74xd/ye TsC0jHF6ieuFpz1OOcJUgC38zhQ5r60LJLpVDrfLjdIRccqTxhQUBbkpClFdali/XkVvekPr NFGYZazWqt/Z97z8AKauGJq72fpTTuCTmKdsBxBwx5gjJ3AAF/UMM5S1PGQz7WhL1sDr9fkO yCi6plegdxlGP8ZZwe4YY8z4jqmMRYcjwKURGScgrUu/7AQq5I0uKbU4gap9kbonkCBZPkqu wOauoRcxz9oOiubOMP/YSeCtPkS2qb+5iKil6NSySYq6RBl9bvRbnLzHAUck430pySvonS5E i55D8ZOAdcTc9XuEOksTkoMe26h3t+wLQ07biaZfUchhbni8IWC8G/O4MOw27uZuEuJCkIvw 4InhPA6t2/E8LB6d3+GIomynHVRvLkELDvqrlJ0xnxdk1Cdf6JG23r35UKI3uzmFoVOIdZxR msobWCAPuHhiPoO/W8eMh0dZe6oCtwjh5vXfGVHPWR+VFNal6vUt8T4yhthydQECUHyH2hvO MNgTblJuhBycUYmV/kjZgj16aV9UWGiuQRoR87TtqACYGHo35gknAAxRYNxCr3kYFJcmcakc 4sNL0GgkosPYmIMNZQ3yoVhhWobvBHjzGRlcao9Dm9kZ3FzaKoge4GkphTc0Nmd07NN4qfmg o02uaQAofmSMpdbu2OscqoQusRYOXFdQY3qrIOUNHWtGt8KlSvpTkpV2AgW5kSdlLIsSHQfV /H1RAyj3slhY1xsF85ztqEE5HHs35tRlMcJI+7Yw/Kz0f8tNEH1ao4jbzMhcY0RLnE6qUnbG fDkDeFc+NDlvDt/MsyKd/pQAHTg85gtdm79Bl1o2k9O/QOdYuoBWy73DlVV2z1DpUkIWDNqr 9gUbVEXLyvt9iRExFwueAnncjfk5f7Y7yDsBYzxA4RYroz6eqtxyaOBVQRh9l9YoKEq38J1A WDiuUnZy84TzbWu6AFw0rkcMBrqMQOolcxJI8pDDu+AE6GK5jSJN7gBGa7HxEfmAVs4JNOkS 21pRh2rb9GDly9CFaJLcO1xZVTsBfTBFzRIM2qv2BRtWpSdV+U53ahkD85ztYEMcDbwb83P+ tBMg0gbewGjFh0d9n2M+lZbuOWZG9EH64EjTUM6D3R1UmE9vHK/jauyKnBc3N1ctcMIwHGtD o43450aeR27A8BIahrwT0FhX7XeKaZLG8PRRo0vVuB7n8yAI8QaVoVu0E0AFdB/MMGXV4AQi WTBov8UJsHViPMxLtqNNd489z9uHjZiD+cFlMRzJosjYKuBRXHTP7DuaWv9cfZfE993DOdD8 0IngYmywFlzP55lQkRNCjTalNYbHZ3Pdv5OuOGWFW1U/WBiGdY8c3l4GAFOHISwMu/kiPM/a j+f/9IICPykopUvc9lxC5kFhHbQTl3QLO+CC/hyHwLOZItobpiitNnSwJ2K5xXKwp0tYiS/R DmXPsyAsG0X/qMzEvGw7WPCSg+7GvLsflYkibSKdUAtnAOKV+Rpb9Wrp7Wq8Su+lfoWwKzoR MaxfwGLqgpj+XAUMyoJJ+9Ulg/fVmrmOsIm5KNrHZHdjjubv5LMRrsPIAnpJ2Yn+39b5gpTY DcLudkp+UaoPFgiZpwgr6oKg/oiAA2RRpF1kQTBJTg8m5tJoWw+QKcJLYB7LtBMnYI++5gdN iHa6S2i3zhe2u10i4WkvU+kln2rj3/z+PCwtutDyzh2c9UJHLW8tdLe8U0sXZ3wvdHBohWPq 6O7ICdQyOsdPBCYCE4GJwFUE/gEWJGKQ4MZVhwAAAABJRU5ErkJggg==</item> <item item-id="38">iVBORw0KGgoAAAANSUhEUgAAAM8AAAARCAYAAAB6tfgAAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA A1pJREFUaEPtWYuRrSAMdduyIOvYEqyGZizGxy+QYFCC3iv7Js7srFcghpOcJMSf3V6TXoqA IiBHwJFHL0VAEZAjMMmX6ApFQBHwFZvCoAgoAn0IKHn6cGtcZfZlWnbjZ2/7Os/7utlbs+zT Ep6OdY2go1QH6fxexK0t59VaMV9Knl4sy3WWEJQPjjiRLEoeAcpSMkjnC1Qpp27rPqdgqGXb DSTxUmfAiZDHLPR3yDwxC1mizT4FjXaNoKNUB+n8m5ijqiFnHvdwmvJfCqMugsJzHEmdEpUx J8umOLPOXp5zlA3ds+p7VpcOJ9go1p+k14qO/n1uP2gcp46KPEeKhJOfH4hDnjnZRYr3aK0x 7dvxtaVqe8EmYh2jicC+HgfYO2Bsgm3dWEu1WtUh+gj4FHjHd3XOmS6RZzMm1nNlnZ43HBwH 1/DcWHZGH13jhvM9rK8Ro3BGltDFWpJOw/uDkWhGyPpjQuVsMEGZVZOHSVF9p9uyDRotXnIR G8axyVUQwz5j9+99CWEcyRQIdmX/M7+A4F2WxFf6ceP9OkNVcTjzkHIjRecUXmK0dn4Jkbs2 FkHCTlbUjD1b5tY4o7Bl0KWOKJOiuVV5KdRBlgZHwIQN5HmyLPsLNoGMTPZd4h8J1RVXUNaB LN8lBzlQr85gX0qesgvkywbewXzHqDZWI0wTeeSZpxrpL3Wsk4fPHDGaeqvhyPVB8gxhk9Yw B9kGB05c6t/IGE2+06onnifXmSEP3di2+Z5qOO8AxeNZJhx1T8ZukacDACbDLKEnXNdfmJWc PErSc/I8UbYF/bPzjWsTs6+oAWKWqHN5jiX+I7VzCKopsx26m1J5/TofyjZyEMaEIemyqFfZ sZw5FoPv41kAy8b7fbJhgOvqCx1DDY6yHRx2yWEdR1LUHECH44SfCzSVhoHYvLg58YZNWIWL gIQDKZxPIdgeSq3yvMPJOkEJyxPVbE/qzDQMpIbV+ecIHFvV/xdiqcN1tq3DmYef3CTrAfia 3nOlM9eqnn7p8efbvx/AZjARN+r7wXZC1Tl+06qqe+WIRTf0c9t+SOfi3OUZ44iCyfLG788B 96Zk9AGPU4PpIOVvbeU3tTf30fNu5nNAj5ivrjnTmba2PW+APCP8/ypO+jJF4CYC/wC363Ql wOg8iQAAAABJRU5ErkJggg==</item> <item item-id="39">iVBORw0KGgoAAAANSUhEUgAAAMYAAAARCAYAAACGoNPKAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA A3dJREFUaEPtWQuSgyAMda/lgTiPp+EyHsYlgUDCR0h1u24XZzrTFozJS14++HW4a5nXRGAi IBEAYsxrIjARkAgsE5CJwESgRGASY0bFRKCCwGOIYc1yLMb+UyfZwyzm8Nbvx7aux7a7r9Y8 FJMn6KjV4Wy/w3/dHPLpeggxLAbDEoPjg/nhgl3yH0gRiDCJoXD8ncSAfLQdK4u/RxBj3zaX LSFAlixoFDj9ia3gTGkjVEpJFNgTqocj0Yql42nXE3TU6jCwn1XoRAz40wVm/ERv+YD1//PM Bs5qrIEsV5rsBlVgQefu7Lt0s1N4800EtlNZSStCApl9gUDcTvGshi34PLCbrfNIbshDWwg3 3O9JIf4D2RV7rUsUSAe3HqA5Z8Yv+E6tY7CA4gBxINsJY+t9C2sjXXVThxAjFHsEXl/nVIUi MXZrQ4+V97tJSe9s3gvX1lIAYbYLSqbvdH9EKjk/BuFIhswCrUrqTI4ol7xCyUye7ORkSVk8 JoiWPB7wzWcCNC5xjERAB45f892Im8QeHlvOfow5hnEgiidPFifDz2ItFsrOk3kvx/iYLlop UdrzQOW/u2vBMB4YWR8XqwQP6lBhhnFQbATAq61J1xYGLtvblBdTFFVhcrJsF7v3K2wjLCPP XrRJ9Nod3ynVS11B7uMiIV5oq1m1oOqsyT3kE0mM/BQES3Q9KPDEpLXWArQghhu6sx4as0Wv nUKI9RWjmaG7trSJUc/4IQuiR3iW/EFivN13r9AiZozQnvPkyTO7PtNHbSrJV6NphRhSmX3H 80JvAFEuzA5+HDxZGyTGvhl/LFmU27EeU2Ow5xLNC+FO99v4c9G2ncrMC/IkAc+JcUcr5fVP gfUO36mxDzHDE6E1Qed8bhRxpn2ST5ixMyhOAc/lUccUK4YYFjkZRGkq5wMalvLZww9QKasD t+LgZdxQGQdRLjOrArXKcefwzfvYqp1cH9CT/SbdxODLMyAbtNmgGXH2gFSHb20ovNd3o++a smTDk6k4lKCExfHK54uarBOUuC81fRR7h/SI41ptIHzS/vK49pOsc7WMTtjOzBo8dBmSdQW+ 6nHtFYHz3gsIXOinLzz1528t39k0n9klhkLWq4Zls8msGK8Ceet97OVTTW7lpCW9c9IdR96q 9i3CKkfit8jVCJHHyHDnJIYGv7n33yDwDTOc0/xVjtj0AAAAAElFTkSuQmCC</item> <item item-id="40">iVBORw0KGgoAAAANSUhEUgAAAbgAAAAdCAYAAADYbHlaAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CBlJREFUeF7tXeGR7CYMdnpJmtgO0oj/Xg3pYK8Zp5hNLxuDwQgQILC8hrVu5s28O9tC+vSB QAj7j/f6M8mPIHACAv/+/k5//fxMf54gW0QKAiEC1/Htv+n39zX9/Px9O6f0hTniBxXg5EcQ YEdgmd/zwi5VBAoCOAKcfFtlPZ6vZDvoNc72R/Exp81cmAc6TaNgKXqOhMDr/XxKdBvJY2Pr ysm35T0/nu9EeNMwvZ7zG4t/yzP/3NgYh9r3izn0gwS472JdH9Zwzuz6sEi06BkBRr4t8wMN Xr75iSDIqEfPcGvdGG1lxxzoJgGueyaNpyCNsOPZJRr3iQAb37A02ev5fkzTWqcQBL7UvTfJ y3eNufKZ8YMEuD777MBaramLx/yWBOXALhxKdS6+YasyJdsGtvh6PMiX05tDQZtUtnfMnR8k wH0H4/qxQs2eCnsY/SgrmgyPABPflnmKi6LWVdoEVmTxPWFAgwFxeGTTBnSPufODBLgv5uEl pgWDwiU6SKP3QYCNb/Hq6/V8eNWU4e9Ymg4NlN/mjQEwt36QAPdt5LvaHjbyX22ItD8EApx8 C/bVsgEuUdYuAa6SNSdhLgGu0g9yOw0BNSjAtA7tKblLEGhDgJtvcFWWDnDpvTY1sCbP0LWZ 2N1TI2Bu/SAruO7oM7ZC4aAwtjWife8I8PMNBK/EHlzqHJzCil+f/jzAbyM/5lbHLwtwK1AT vYKPbyaiNjVVKXFYTnyXqirXCXFMweY7Z0qJte/3oOMRHY48ywpkgzDVb5EiD4Kk1j6cfW7n KMDUFlbk3rgxVID7JOap8RE4mBnzLwxwymGUQ5obqJrgKiAxnFuBMzq1NJ5gFaE+R0MPuoQ+ 3d8t4GClBLgj7jkSpI48e0TnDz8bHDBuCXBVfT91Di5hNv/q5sP4Ys0dxDw7PmLtMWD+dQGu ZXO3pXMU6YYFtG5XLUVrCDdss7N9noDaCs7NFGbAhAZPuqUHHY/ocOTZkyBlFxtwTclv7Fun 9H2tTttKlB0qNoF8mJuVBfuEH8M8LjJRRNEpNvPPjVg6fRCn3zS78GtK1rqKWcwqSW262lnT KRuw2LkMHWjWFd1i30QQE6+K5AR5uwOjc2CF8zFmxtK8mIS+89pO+Mfa8gLXYeMJeXp16vED ph7Mahi8RQD2sf39cOt10msqL+BjtY7GwH1FoLCx+FP5EgxEsQ7OR/MC8NbtmN9Nm5frX7S5 xEedWtn6bcRNhGtbKmZ/a8UOZVEPk8Fp7nDp6EENcGycKdraD+bp8fFYNCYFuNeymBeMwn0s P3pvA5xNt6WuOUB1MDODt/s/f7ouDlTAqabzb4Ty26YHOJo87aZD5cNBJ0YnHAEZvBUjzKuX /bPjoYOJSe+m5MFJRLJNM+lhOOg9Dh/9fd9N7wq+UPq2N4ELJkvrBC714nuK6G2S6vpFu/4l m0t8DIKa1Qly0+Dqx6Vwn7ukx4YKve/TUDRSwZtPcs/dE/Pc+FiDsn8vtnjIHPT2ouE+m9qn qmZ2BWdaqWum08DBsHo/irYRiua9Q92RzlFFcoI8PVgkBvezcvNJuY2+K+q5r6zsoBj6iOs1 Phuv+uIj3g3tytbLTpD4Qu/WDgczgOtRfsWatBzOt8Omf85mKh9z96EBDuEbAfuqvk9206rL TPuiwB0xz42PZIijGzHM3d/8Ksown+3NnoKglruWCmrVAY5mNj3A+UUoVSRHO40vb5nTq9Ni 4NjmlaAaE6QDM8UwSRuK/gG6A9vSmMCBFc5A40kI54tYvSKgrvloVw5wYgf5UVcEFTF/T/ur T7UYWetnW/iybAz65/oIlY/VAU5NgoLiMkJfrer7tGFITcfec5VD7oV5bnwkQxx3DARz5wcQ 4PwO+HqpLyLBQU1Pp0GFYObaBQEuqoY0qVGv+CFYXVWRvCBPydrbWu+dg7wRNTdf7WhkQNja LvkHD3BuD8StzJU8H6t8gOP5lMYofFzWVZT7etg+2BL4V+drM/kxJIuqdeuEgbsZ9c/aTORj Q4CL+EbAvqrvU7ENqg3Tj90P89L4SIUYm/hFcwrghz3AeQUEcMVgyLIVFwQrFPSaW4XATXGl hCvP/WcvTslunEOy7/8HOXZrmbdH4Qbm7TMX9l+gOyxiiBHa9IN/92z1sYiwi44rfLDIBPqo 4J/Nn2HhgpnIhLhF9ruCit1+F+EPp84+y0fqtw+CQVpTDfAx2W+QvhNOQAg93DtgjEyiyiJO 1j/TR7YEhSv4CvfydT9dv0Ix7+dJcW7GXDOZD5iqLemR7ftlFFN34B88FczL4yMv5n188NQL StjGuR04KJvPSHlulKaoB9Ej7BF5jaXM9Rp39MTh4oeObAlUIX25mcgXkixmKEhttuhPfIbZ nE0c5NsVeqxt5rZDBfMTvI5hHvzt0jeZFDfO0RUcXKFl9jgOkRw5+9EqTz/HXzl6Al2YRdI3 3JkbPlEcwotUa0W+VMhis6iizRb9i8+wGYIIAnz7uB45rgvm53g9X1xi27w0wNk9vWXdLEc3 zqsCnElV6I9twrQRR3BpleeXA5/j6EGlYinP5HnL0Wxs5Usvdrbo3/LMGfb2oketbS16tzxT qxfl/l70iHW9NsDZ/Z/Uxnl1gKM4Q+4RBAQBQUAQuAMCFwc4te+sVm8u7eiqD2HxQ3nz+Q7O EhsFAUFAEBAE6AhcHuDoqsqdgoAgIAgIAoIAHQEJcHSs5E5BQBAQBASBgRCQADeQs0RVQUAQ EAQEAToCEuDoWMmdgoAgIAgIAgMh8D8rRUh0elVs1wAAAABJRU5ErkJggg==</item> <item item-id="41">iVBORw0KGgoAAAANSUhEUgAAA0IAAAAdCAYAAACHbtzLAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA Dk5JREFUeF7tXe2V7CgOrc1lN4nOYBOpvy+VesnUBtObS42xjREg4ILB5SrfPmfOzHTbQroS +uLD/3pNPzf+EAEi8DUI/O/v39t//vy5/ftrJLqOIO/T3f9vf//+3v78+e91wKakRIAIfAQC 9IvHq+l7MVdinSmE+EMEiMCXIPC8v+7PL5HlamL01N1E6+fxqyOY+lvP8a+mO8pLBIjAGAR6 +iX6RUxH3455IN8NQ4VPEQEicH4Efl+PB6ug8+tJ47Cn7p6v+8/jlSiD5sF/H/eXVic9H/n3 PhNbck0EiMBnIkC/eLzeroG5jHUshI63Mo5IBMYg0LOLM4ZDUk0h0FF3z/uPWuT4QyeKpY58 UNlEgAgQgV0IdPRH9IugJq6CuZCThRBoG3yMCJwdAczRn12Ka/LXTXfa1o/fx+vndpvOggYF UupZ7q28phFSaiJwMgToF49XyGUwN3FxjXUshI63M45IBAYgMC1n/9xf3Bg3ANrhJHvpTlvl MbRtART/PQ565W11w+HgAESACBCBaXNvn5hGv4gb05Uwd3bBQgi3ED5JBM6LgOluFM6FnJf5 i3PWSXfP+y2+KGNa9bmJFZ74mTBJkIXTxfVC8YkAEXgfAvSLx2N/KcxdrGMhdLypcUQi0B+B IOHtPwApDkOgm+7izufv48e7PS78f20bhFpQDROehIkAESACCgL0i8ebxcUwt7GOhdDxpsYR iUB/BLo5sP6skWIBgZ66C879ZAuhxFWyLIRosUSACLwdAfrF41VwMcxZCB1vYhyRCAxDwCS8 cgvUsIFIuDsCvXUnV3nShVD6LJAJDslvEHWXngSJABEgAjEC9IvHW8XVMLexjitCx9saRyQC 3REIE97uA5DgMAT6604UOYkzQqnvCBkh+/MzDDoSJgJE4EsR6O+H6BdLpnI1zK28rhCar1hN fX9iMqDp+tVxt6qOpl9Sf++/G3nwG7z6VeHm8Je5Jle5KrdRxJk3mJ4c3/Ix/VsxHExmhJ4m 8/VuvtLxFAffey55q7bUYw4fyW/jhEi+1i4/NhcqO6abvgWm9iBs7uvqbymE8nqP8TmDnWA8 mI7j4j/tP2FcwOj0s9Z2O3U8IDRsDER8+EK5dR7o2CDj9ogd+/SnXl4S2cq+MfrZTgslxFYS Gqze5QDkPx/lF1vwNu8cifk6b3M54okxDwqhBbjoOxOterj0ewZL5IOGwvkb7DtUmbLLOwfg vbeITYnTff38PB6kFme0iWMmQVBEb8UVJHOeXlLmubDHi9GPNFnxQbD3F0I9EPzkgF8hf/DB OnxuuTGq5lDqO0IJlvt3BUvYpPWuy3kGOynwoPi9NdsPGo4DZOn4QcSS5ua/R+OFMbB3TIC4 MqVVNhb1iR0V+hPfLXG24DeY9ZXaijFQaM743E6/WJ3/nN4vHqCknZhP3Yu6HPFkmFeuCB2g kC8ZouWgcUsiVISrdyFQ6CKLFM0PPmswCs8c4DIHwSxBzwUWUfwMXwUpamHgA0qQjwpL88yK B6y/gSwXSX8av0WBlAdCe14SyZZGCD6H6vhs8WF1I4RP5/Wurwi9264zPAdX0NpibvaBc+Lw fD3uj8mTmZ/eNq/Y1z7lFN6Ox4vtB/PhuD1P9Db8cuxh4+6LHYD+bPIXNCafj8ckhyyEbEM6 PKMHjDFUx0cQ7+cXVX12EOF4v9iB6SyJzpgPyDFGYx5flmC3xj3tV8jFZAy3za3dLrnk/zNN an9VKVhl2mi4yb4F/2hbnnhGrq7kaIy2GYS+dge7gmuYr+IBwMTNdQuj0JO6sILeBw/RmybM FLyxH39yLUlAvEKGy4zR25yfF2xEJ01jfg1Q0MKU9r6cB964jfaboOdtr5mZXTDZ5p/5Xdht XPk1wXZOuKa/l1UYrgwfP4fr+HVKcVs4xUooZNuBYovvlHQr5uhv6OsUva26sV+43rgp8tF7 K5HDAQ0+3TCfhs7pXfMVb7eTJM8iaZ1NYfJ/q2/wfOHkv9fF9qzs2TR/27ZsbT7hF4z/fawr 85M/2LbAl+KpGueXYm6hkRgv2omA+fCqmNBQCKViUVPsEIpJ2mKiAJpfXTvx6lxb35PNw7fb e9Efnccv6vrEspfcU4f7xY/CvCZHxHUxGvNEIRQmEaZboSVHLrH1nFdY0GiO1m5Xmp2soRPS 953mkgSa7p+caK4beKbtfLEjFzx7wdDfsoUHAIyedbTlm58QeqkuVcqYE8lelG+it5xh9FIy YxMpGEPu6U9VSd6Km9yT22i/KXqyoE2OOUfW133vVkiblJeaD6ebw/6ZvN/JZ/1Kf5GZe75Z luZDSbfSn1m/tSQ9zk9p+7dD3ZX4WLjG/QYeeJYiG9na2wvzMm/95DyA53nFZ1nrWQqGYIXa zlFRCJUR0J7QZFn9wLYVOSzEZawtxVN/e5vTgd4ssW4yvUU3f2a0zp7rVoS8hlEKbKWbjcUO jeAaT5L+2CWN6TF8/fazEcy3fLJfxPOfGlSP9oslPZ0pFtXmiCjuozF39LOXJWzXqHoFjs8c VgjZoCACrKSZ+u8wMUsWWhlgc7RRfYDPqXvrE6tdMr+uCvQAvaqkGKJnD8QhZ27EBDUJYCIY 4DJj9FIyjzrvkKSbs9HM34p8bt1Zq4MwofY70aDJxo818u+6xBVzXSu8Ghm3q2Ze8Q/atjdk 7h0Um6yf0gohRXcA7/gcqgEVTTJNfbckt7sxL7DXU87hPMuVnuAacnktee7WPlRbqizhQWnU ZqO5iMZ53551P4b58LyeM82qXMFhz6tmYtGw2BHN4VWzgY2kem3POxJv89bSzd4/yC9W5T/o ZDMNImgVsqNf/CjMa3JEFPTRmDv6DYWQTXSUW3Bana58z+ueBklVdSGkdcCQbieqKP85vBDy eagK9Ork8OlVOVCA3iIl2qGKOxXayhQuM0YvJXOxwJhlq18RSvLfaL9pPFYbnqOl1EGcUMvv x7RZ8I4iZtgcrpHEzvc1gYBtW4yRewfVbXUhZIJn4JcA3vE5VIlh1V7RDpgfWAg5XyZW7ACs YQS3JDfoZobNRDCpKo8b4N+tEELjfGUhZLxY4jtVuD2jCdIRsaOkIRtbXFET3ySofberU2Nr i9077f2D/GJV/lNS3/b3yc6P9osfhHldjoiCPhpzRz9dCM1K0BKKcBuHFCpIzmTiABdJMvGb vaZbVaguhAqFFKoP8DnVkc88B7eoBR0sPAC44OTdyiboGVrb36axt20aKRkA/hZfih7o9oNP 6ipHXOYyvZzM7dsbitmZf/vThnWj/Sq2bXTn45QvhOLbm0DD9R474RwuijEdPrfbkWZTXYsK 1LYl/ew7oG4bCqFIdwDv+BwqAugegG8c64h5caqh22hLch7A81YIya1lq92sfrqPT0rI0q0Q ysR5z77jQii++KPsw43mcHtuK4S0WHRc7Ah8x2qqSVvocvC8o71/iF+szn9KLsP+/R1+8UMw d7UimiOCoI/GXNAXH1QNu+K2gyF+PztyvXtuk2+v2zHtNTdFgNkf/7Md7jZ0Jc37dLZhXV2y Cf1qAMveXoWP+XchX65I8LZrSKdt/1u7EGLJ9tcLH+RV4u5392cCC8l3uEzvySLl2Tyhf+hd SUq9wJKhF3eawtUvxRln6M2ByZ6XUbshIT3fNraVoG1b18qPPITr0a2n5+xK+35S0JUN51/o aMD56U187fsgrfbrHU6WTYjgWyQioZr14yrfikst0sK+dQ4XdaAlFHLeCjxKc8/Od3+f6uqz Et99Kel2uqVv82cJP7Xh69n+ZKvyNosS78k5VAQw+8B2KLvkhzxfuRPzHEfNcg62kyTPrsvo 5tE0l4U+F7X7SWpeaxWyzI2A1XanVSd3qUom7qp2morzcdz17NnIGV1Y4/xXfUzQkEEKoXIs qo8dejGzZ8Z5hVCzrYvcRYunYQwv+ZYP9Yvl/KddU2/xiyU9nSAWlXPE82IudSoKIZTh6Rjy VBB4P0YhVcuG6Fg1z8mkV3TjokJIuxDCjBMvo29FmOfcg+Q6OPQadXjC7nCNSLZWsjd/zWzm PnyLEfcmdW96GAsNyVgDYXgVq4H2WV/ZfQj7rIL5fOmBKeAdtO3e86EZQak7kPfmsdT8Mn+z 4DDMuwpxkJ1kePa60upzbdueIPy7Ydke5/useHUTpI1QJnYcq4c69iHeQN9Cv7hiP+GVu3GV mNfZKPT0aMwD+tWFkHbmouz4IdH3PRRVz+t2NG1FSNRx+oUQccHhnLvsCgVd3FkCuSVib+ES bin4AHq7tKjI20pv1vv+w6atw7/vPaRb+j7u9o9cYSPFgN97fu2VTuiuyPvescL3c3YzGPPe osz03svz3J3WDvGH58wg2StkgeiVH9oX54MYWB7uXE8kY8fxesCBqeCt6FvoFx3ub/SLRT3h 1lH/5DfHolin1YWQdrC8fE1zvRqq30g5L7QQyh2Enuub5azSc/oew3Ll9/JtBn0hzHb85Jad Hkn52elVa23QC/IszaAhPpWs0jBw3wMbd5HI8XC1zJWWd0ZIdhY+amX7RL4H8qzNtbfvnEB1 Gm+Nq4vzbateKHfjnvv22NFi7y3vjNDQWfiola2F75Z3avlCnj8LHwiv8pk6vhsKoVqGjnp+ cdxyD/Ly7UntA3IrT17xFOz/ja7bXAPDGsiSHb+jxOU4RIAIEAEiQASIABEgAkSACDQj8EWF kC167EHRuQpKHxb1LmKQhVHikPRM3qwGuWeLN7I1q4UvEgEiQASIABEgAkSACBABIjASge8q hEYiRdpEgAgQASJABIgAESACRIAIfA0CLIS+RpUUhAgQASJABIgAESACRIAIEAEUARZCKFJ8 jggQASJABIgAESACRIAIEIGvQYCF0NeokoIQASJABIgAESACRIAIEAEigCLwD+aOTotoHNmZ AAAAAElFTkSuQmCC</item> <item item-id="42">iVBORw0KGgoAAAANSUhEUgAAApUAAAAYCAYAAACr4AaIAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CbdJREFUeF7tXW229CYInu6l3cTsoBuZv3crczczXcx0L3k1iQkqKhDyzZzTc/reKMEHBAQ1 f3Xu97CfIXBjBP77/X388/Pz+PvGGJx16PvJ7v/H7+/38fPz71mhE/NtmIuhE3c0zMXQiTsa 5hToEDvog0r7GQK3ReDz6l6f247+3APXlJ2j9Xx/cTxKzzTffxZJaI7ZMKdJ3TCn4aTZyjCn o5lg9aD3tJaGwNUQ+Hbvt0WU55Sqpuw+3ev57gohZQ/P9/3qsJjz8673Oye2Ja4N8+3laZgb 5tsjwH0jtIMWVHLRs/bXQUBzNXodVM4xEkXZfV5PNGCMgSgEnop8HB54xbEa5kRpG+ZEoBSb GeZ8MAFmFlTy4bMeF0GA5tguMtiLDUNNdlgJ9vvuno+H22ueBJultjfZP2GYbz+JDHPDfHsE BG/0NnO0gxZUCvCzLldAwJWVnq/Oit9nlKWW7LDso6cdgsn8ee7k26XzMyKc82yYby9Hw9ww P8v2mtkOWlC5vdbaG4+AgF9ZNfbRHYFN4wFBQEl2n9cjP6TlspEPkHnM26RBJAxCLywtw3x7 4Rrmhvm0wN0eCt4bZztoQSUPOWt9FQSS4OEqw7rFONRkl2cZv+9ndAo8/TdWjkSD06sJwjDf XqKGuWGOLXy3R4X0xmAHLagkwWWNLoeAmsG+HDLHH5Cm7JJ9ktWgsnAFjgWVTJUxzGmAmZ7T cNJsZZiL0bSgUgyddbwCAj54gGXOK4zpLmPQlh3MPpaDyvLeSW9Mi3dcXkQohvn2gjTMDfMz 2ZbAq2Uqt9dbe+MBEEiDhwOwZCwQEdCXHQgYC3sqS/dUepb1+SECsWEz/TEa5i3xGeYthPSf G+ZyTAN2c1DZX6NRuq/NGQB3xcZ6N2do0/f06Cd79VaEfrOqv4oEuY5EKKueN0V6gY24ZHeX E6yzEHCZg0MXmmUQVPYaOr8lv0IFLnaTj186X6v9JnkDTMNBidqXX04VVG6JOcEWGubVSSXR 86a/MMzVMcd9KnjNLTCfF9djUDkYm+xeNm0/sgk9PxbKZcYDM9MkVIiYYTbDB22PpaeLnVN7 jZ/xkBiYItzjPXzRkPu/0QPxTUSp/RJwQev+QaXG4M4cVDLGn1xGLJkLrHleuqeywLJ+doOB zVpNF2LOtoWGedctxNw5M56/MMyXYx7mH+ZTsbl5YcyZmcq1LJc+XcmmeYmTanKuHaQ1siVN fuDCyX1a7k24ToVD8/hth8zJFEijmUhwL5wi3uthczZ+JUgkcvMkhFnkVeZ5z86aVRwJZkv7 6GE+rtzVF6yGeUPGK9gvw7yMuf9MIepTF07FM2GeH9QJ5e9P+JoE2Hyelsa9Ue8zm/N/Twdq nO1Msp8TjfB31zd4+Kz0DtrArGONxpB2zO8eRMaVJiVZzoZAbzKklEwliR7j+68teuNqGFfW xp171NVYaSJBvYmwEcq7QK/PEgfd7IUNS3Gj3oEvAEB2p2+Yuuftz4KnGf7tdZ7H7zzSuUwG Muot3SmuvF1lANiNeH61ZDvO236ep7YBkVuY5/kkHrbvFPkYqxIKFYkUBqrhvyPmLFvIcMCG +eync5Vm+AvDfPAVMBbh2paqT2UAjDTdXM97cxy23PF8QyGoTIn4FTjmOOfychSQpcEhFgSG EmsfEEBHEmjGq+QhQPBlWeicxjLtRGOQRh4cgj5jEDMAFpd56UEljV7PDGmlSKE3t2mfMG3R m41NSVlpSpw4e7jAKDntKHML93YJ5V2iBxcWxXf2AupelKC/ZRN21vkWe/jzeM/x183xL5xf lbkS0yPoG8gO53M5CSQz2zDKKdvPncquxUfJPsjQi3tRLz+/J+Z0W8iRhWEetlbl/ozjLwzz /KwI17a0fSoH5X1tS7C3c3xE9w3Y5edZtnAo6/SBTPQsntC0oBJmI0bYIM3S/w+R4nyAqOjA Z6eRBV6FLCiMfehBJTKO0Rln2RlqwELgbwqYKXsea/RcFmfcolks2a21P6xItybTyrMmn1MW M0yQ9JCC0ifQhPyT9bqh81KDFbK50Xwh6mL0zlofKjbVMWKHSxDZEXhnzXMysI6XF+1TanfE XG3xFiudYe7c8vDDD19hyROySqMNTc+D74wwJ/hUOe47YO41aqz08XzDzGv19DceVIbAKpQY QdaP6kRqwWKSfSQ7356t+GsYvTBRZxMf5GE5GwK9z4tx4IVAbzYeBLoVelFZeMwupkF4M1gb QAWn3ONtEKW7H4sYC+Vdltm4Uu+jfJgdyo0v9nUUtgHYWefZ/EYdQlZj1CuyLgIitT5U2bKD Sm/4ksN4BN5Z85wMrMOQVVK/F+YsW2iYZzesSPSc5S8M80WYU3wqGeKs4Q62ZeKBa6dmXstB JSwdRga7VjZMHDd0KmTnC4OCPmyeT1ETMpVZUNP3SQ5oJFlElrNp0PO0Jh/j2obT20XFIvA3 LEjjbxIvpbes/C2YJojsBmyE8i7Qi2VZDyrT05aCUU38RweAwj7gDXReyvN7XnbPARpVF+FL q32IshUElZnsCLyz5jkV2OTEbrnbp7sb5mxbaJij36LPb+mo+zOWvzDM1TCnbR2jAj74fNp6 VdG2OH8sslOAV3D5eZp9Clkx8Pc+GMOzVGHwUeTuPobuAzq/d/I53d/o6UKaDrjwLAR7o4MY DlsgfPR/S/nyCbTSQR2YTUuyffCwRybBxCl6fYh4g/zNaeP5AFN6tRGPXrRhFtUuHj2ozrsf 1IGlfKm8owNjMNuWZE9HvZp0c4763QTyGc1lv111vsk6oiPR/uT0wFxlrqQLgMZ86FlryfYJ 5n9hXudy6wnHsqvMy8nJRoe3msCRGkwHpaLWhnmewaFf89YC3jDH52jbX7SQrSyJ3EHcqeI+ NTM9b/vUk2Eu9A1wTgq+qOO29H8S9fIGnRZSyxEm9syCpawsRiQEmkVG7Mr0qNlQPoTH7QH2 xByXyeWc4Y44oUvUbe35IB4dlB2Rd/G7sI7unbU1iWGuivZAzDCvfKRkBbwNc2QL3Uo4Q7J7 6XlpaDX7mvDKDiqxPXdRmWMDvOuv8KsnsCpe5GyQ+9quSq8fF2HP5u7y1WaAvhla+83b0EN0 WGI4Bo8e3/U5Opzyl7jWHiGQ3aJ5KeGzpjeGuQTRdh/DPD8j0EZtWQvD/FaYs31Drh/soBI7 pNG+6maZWvN7h9Oh4KoRlYDpqvTg3kM+2pfukZVVYelJr6S3P4YS3Zb0WWOkR+GDOzYJ35I+ XL4o7Y/CB4VX2EbCt6QPly9K+6PwQeHVMOeipNteU1d4tARBpe7QjZohYAgYAoaAIWAIGAKG wPkR+AMFYjgvsh1FrwAAAABJRU5ErkJggg==</item> <item item-id="43">iVBORw0KGgoAAAANSUhEUgAAAowAAAAYCAYAAABwW6yqAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CZ5JREFUeF7tXdu55CYMnvSSNDEdpBG/nlbmNOMUM+llFmywBQiQsPD4os2Xh93Bsvh1RQL8 18f8eegfRUARqCLw3+/v45+fn8ff1ZE64GgIfE92/z9+f9+Pn59/jwZJd34U8+4QJy9QzBVz OQQQ32UTRv2jCCgCFQTG4TOMitIpEZCUnaH1fL1xGHK/Sb7/LAKQnLNiTpO6Yk7DSXLU1TGP 5veQxE5pKQLXROD9eb00WzynbCVlN36G5+uTSRcneN6v4YPlk+Or/Nw5sc1xrZjvL0/FXDHv gwD0XZow9sFYqV4JAclV5JVwOcNcBGU3Dk80GQxhyCSVgnwcHnbBuSrmRGkr5kSgBIfdBXMw T00YBfVHSV0TAVrQuubczz4rMdlhbdH36/N8PMwe8CiRzI29yZ4GxXx/q1HMFfNuCFg/53yX JozdUFbC10DAtHqew0cb0meUppTssKqhpe0TxfT3NIDX29lnRDjlWTHfX46KuWLec8vL6rs0 Ydxf0/SNZ0LArq4q+9bONJ1b8Soku3F4pAeeTBXxASqG6Zg4QYQJ5oWloJjvL1zFXDFfFq89 oFh9lyaMPfBVmtdBIEoMrjOxG8xETHZpdfD9eganpeO/Yy1CNPG8mhgU8/0lqpgr5tiiVhAV 77s0YRQEVUldEAExZ3xBbI4+JUnZRfsSiwlj5hoYTRiZCqOY0wBTPafhJDnqZphrwiipPErr sgjYxAC2Hi870QtOTFp2sGqYTxjzexWt083e4XgR/BXz/QWpmCvmvX2Lp68Vxv11Td94IgTi xOBErN+eVXnZgWQws4cxdw+jFYY8P8cTsfwcFfOalBXzGkLyv98Ncz/fNWGcrojI3TNmjNZc H9HvVgh5+jYjrleG7HvpJ2DlVnJ2E6m9jgO5kqNRtyfeBOl5NsI22l1Oeq5CwGUODjBItiZQ 2UvYxp78Nipw9rH2+bfaa/G5Rd4AU3/ooPRFklMljHtiTvCFinnRqFr0vBovFHNxzPGYCl5z YMyjhHF2EMl9YtK+fzd643TlxaOYDNo5Uy7inZleDEwga4ZViCmx3XoK1wSswX1eosV5ZMXi 7pkLpjz9Gz3J3k3kki8CF5V+P2GUmNiZE0bG/KOLdFtsgWXnuXsYMyzLVyUY2PQauhFzti9U zD+fjZibYMaLF4r5dsy9/WExFbPNg2HOrDD28jZ96L7NZ7hG81+pKtqyAb0lAFVnKJ2AVaoc VX7ggsfg+CJcKcKhefyxc8VjSZLRCiK490wQ737YnI3fFiQiuVkSjdXfLnY+sdOzS9OC2dZn 5DB3q3LxxahiXpFxB/+lmOcxt5/ZQ2PqRlPsjXl66MW3pEf/9QKwQTtuV1tHPFUk1/+fBoiw ShlVLRca/t9Byzhph4MxsApYorEAvn5TM1u9w+6tQuYfFxNZgYRAb3GSlAojiR7je6I1em4V iyti5U456ioqZyRQvwJsGvUiQ2/SD6/Dk7Bhe8zpJ7jlHrK7fF/T/F7/zHRcwd/fNnj8rjNd W1egEl7TneyK2VT0gX8J7asmWysev20m9iGI3CwPmOwIvLPsnOHoqU79jpizfKFiPvstb0CN ej75u7rzYqA9D1U9X3OowMcVYyob5uCB3phnEsY4KNgVMRbs1lZu4FzjxA9z8L6dOQVxSyem H65a56BuW6AwoLiW6EIDYAcDeJKIzuPSgABouwRldtph65UeSGj0nHURTk5S6K1j6icxa/TC pBvrwtMUNArkcJGRa+0HFVdYJW7Uixw9uGjIvnNyf5+BktDX7P0ItlHjMfk93OP7Nr7gDe2w YCshKYK+gapuavPQT3h/MEUmsI0G6yjEsqvxkfMPbOCQB6gXd98Tc7ov5MhCMffbndJ4xokX innareT6lnpM5aAcju2t59jF3UhytRzVDn4LmaMljG61j1YLo9+ygbVCwyEYVI1cghInUOhe okyVE+Y19IQR4RVtkTOSEQJ/SzJM2WNYomeqQG5LZHa12Gs/VpZuo15U+Vyqj35xECceQp/d auR/raoxbGhWhMIhNrpr8vYU2BBRF4O3lJ6hYlMah9oXIjsC7yw7J0NpeBlon++6I+ZiC7NQ 6RTztwcE36KFFUbIKo0OVD33sXPSaX9YmBBT23HvjflKv3hKGk8YfTDy7TxQhaM6/jigwefi qiH8rRgwLFFz2GWV1oT/ZBBRhYieMIaHYliBBA1MIb1xYBweIdCbFS6sUGSVsECvOelOXsav MGYxbtSLvMzcCntaEUDMUseKfbWDbdxftw02x+ABX41w+krWRUCi9AxVtuyE0RYho4NtBN5Z dk6G1WDIOjB3L8xZvlAxT24sadFzVrxQzDdhTompZIiTgb19y0o/nzDCNl3gZEtVsSjYwkBA DpgwkNtYbtpOPuGrJIz4HWhpAoAGhIl2dNgBSTTrV/U4aVboWR6W+GHG+lPO5QSvzN+cL4bf uN1KL9d6prWkG0wAkfGMTaNeZOiFOlBOGONTiQ2zWvgPDtP4ivsOttHKM1yALUGJYCvp2qFk X0TZNiSMiewIvHdJGKOTrXl5hIveO2DO9oVUZVbMw8N72NYaarxQzNHvyac3iNRjtHjs7K3n gD64uDuuBvnqF/j3SeHwqpEHLsikzdU2NgmzexWfy72Dli6kOZg9Yq5aGSSGcQUTvrdAI2jH RrxC+rHxuECyHuSJqn/w4ERSKYgCnjWuAr10tRFf78OjF2ySR6sYPHrQN3z90AuUZ4Apop/T 2FhfXRK97J+EVbLw4JZfmCzyWTN6kc3h37ENWhs0Scjn1Yc7yOZwgpvsg0NvcaW8Qd9qsn0C P5GRcyq3yRBD2W2yc2rUTMcth46CnxCcboZ53Rcq5sudvS5mbdXzerxQzKUxr8fU42IOfVfD l17Mtvdx2Rgxz9I6YVa7pR0cqSeTRChpVfHfFASFK9OTXpXyod7/CbAHZf+X7/dGPLGJ3k/U bWl7aEYByo7Ie/O7sAfNO0uHURVzUbSXmKSY0+8ZFpGA6rnIvnGWLHpjHtFnJ4zY/r+gpcCa 7TcH29U9MKhNgQS5j+yq9OBWhW+Kb/d30zcW786ayAsRHc7Rreq2tD1snSCQXZX3re+Kny/p jWIujbbLFguHXRRzxVwSgSv7ltR3sRPG5K4605qqX+MiKSBJWv4UJWy9MQ6iZFm5Kj3igRpJ EZ2FVtLqhO3unVf6XTFr0e2WZ3pM4ih8cOfWwnfLM1y+KOOPwgeFVzimhe+WZ7h8UcYfhQ8K r4o5FyXZ8TxdaUgYZdlVaoqAIqAIKAKKgCKgCCgCx0bgD04MNGdgzMkKAAAAAElFTkSuQmCC</item> <item item-id="44">iVBORw0KGgoAAAANSUhEUgAAAoUAAAAYCAYAAACMTodgAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CXlJREFUeF7tXduhpCAMnbpuQdZjNTYzxcwVFAwQIMGgzJj92t2BEE6ehIevj/5RBH4MgWWe P+8fm9OvTuc+Wb0/87z8KqyXzUvldxnUfiDFXDGXQyD1gy854kpJERgAgWX6TBrrBxAEgQVJ Wa20/ubMUiD3m+T4hOn+XBNJ/FR+NPVQzGk4Sbb6dcyj+WlSKKk8SutmBLT6c7MAGMNLymr5 TH/l6vB7nj5Yznhf1YUB1ZBNVX7Xi0UxV8z7IAD9oCaFfTBWqncgILmiu4P/J40pKKtl+kMT vhDOTOIoyMeTxPcRxE3lR9QcxZwIlGCzp2AO5qlJoaD+KKl7EaAFl3t51NE3BMRkhW07vufP 3+v1eb2iZDHXVs8bsNVS5ceG7HQHxfw0hGwCj8Hc+MzdD2pSyFYT7TAmAuvWyt/00eOEY0on 5EpKVlj1z9B2yWD6e+rk61vP34DotTyq/K7F24ymmCvmPS9QHn5Qk8LrNU1H7IGAWelUzpX1 GFZpNiAgJKtleqWXitZq4AtU/tI2cRIIk8iGuTyxi8rveqkr5oq5X+z2gOLwg5oU9sBXaV6P QJQMXM+AjkhGQExWaZXvPf8Ft5Djf2PbQWhySZ7MAxuq/K4XumKumGOLYEFUnB/UpFAQVCV1 IwJiTvPGOTxlaElZRecEi0lh5tkTTQqZiqfyYwIm0FwxFwCRSeJhmGtSyNQPbT42AiYZgNuG Y3P7bO6kZQWrf/mkMH920DjD7BuHzxYVOnuV3/VKoZgr5r39lKOvlcLrdU1H7IBAnAx0GEJJ CiEgLyuQ8GXOFObeKTRTkudHCKhBycjjpfKriVoxryEk//vTMHfzHSIpNBlqucqzOo0X/Wap 3KrKHL40T1sgz1s06qDlTZCeYyPcAnvejUpc5uASgeRWQKPs026j81eaqLFJ5KIHAZtW+yz2 8/IFmLrD+aWvZTw2KbxSfgQ/+gj5XYn5ttgpxhrFvOitWv2UIZo9kjIw5gMlhYt9QuKVTfqM IVEep93k6w1B4O0xWF2wievZ261rkJr2zyqcUbhEk/d32YIp2/+jJ9KEWD5eE/DgpiaF44nH cxQ9ANui+yy7zr1TmIFIviIwsCxaWDspP7YfVfmZrCK4Wc+2GW6sUczPY+5sC4vHmN0Nhvkw SeF7nte35fIrqJZD4GwDojhK6SSrUr2gsOSrhCuGM+F5Dg7N8dtu1QefCKOVQPC2lyDectiM zp/ETCM5bcvopvOfXey6tKqXmP7X05CT375qF1+stsSIscUijHkH36eY5zXIfDIOjccnla43 5vhFE+Os7dZmXBXbkrakFG0TpbWKt7gvCLggDdvv1SqfFcPq1fEtR7QSh73NlB3zQJwVPAj0 vDOjVApJ9BjfsKzR21eUuMJU3mCjrmhyytyqL2+gH7C8maFndcPpn20Pt6P2owfgRXbIrv+m 4/r7TH3ZunVeDXbQxB+siENbrelKdrWK2bBfcpRt/22Z2fxAIldEToYsJisC7yy7ZjhgqrM9 tuOAfyTwjcPutvZO0qqOX/HdF8qP5UdHlt9XYc6INYr5FmdcTGrxU8V4zAAYadrbT6VJYVAJ g5W7cNWyBWiT2AFnsydLm9MMk0AY85PD3jBQ+8BSSu4qY+5d6cGDRs+SJa22KPSONvUbjzV6 YVKN7ZjTFCkK3n4BUDjreUZfnI7Y5Gs/GpCjBxcG2TGtgD4TJWmv2eWZebXaQY2n5PfwjO17 WdY0uaYr2CC1PjXbjxJBTK7oLkAsqxofG+90u+YASn28WgrzXVfB0Y6nyI/uR0eWX01XR7IZ TqxRzNMz0lw/VY/HHJTDtr39FPJ4dfZcTZyswX8niVy4DWyduA/U629R1hJUgPZEBCZKKE+V MdnBg0CPlXCQ6Lmzj4QzfyV6a2VqP6KYPdja67yUiL6AuVX59NU7h1l85EDmM1Ai84oSoZod tDgKZzvBwoKoe8F4pT5U2y+1Q5NCRFYE3rslhRPt81FimNs15lb9fpL8WH6UbBSrLl0tvy+y GR8PRc+XK+Yu7lqddhfuCPGYrNZJw96YH/T97eOsw4XVnE3D9q2i6O/bMjC6FHKsmtInIdYL JgeyRyUAVHvoSWF4EYUVPFADD+ktEyF5c0Ik0NuahpWHrLIU6NWSaucQ6hVJfqVQRF+ipBC/ gb6vdu2CAmKWnkOV+Hi5yLxYdtDuJpxDCqvzUHdje0TGKukr1fbZSaFJiqLLYwS7Ydk1GdZ0 sVru6qovcEeEibkfQIDWF8mP5UdHlt8XYc6KNYp58tlMjp+ixGMyxEnD3n7qoH88SYM49u2m LAzKdol7VP9sn+iwf7yF5yo80f/j74YhlcZ4T5QwJit4VOgZWp6Fta27PVxO4iqY2JyQeNie MN+NHP48CG37uEFVm/UFBNDSAmPHOpRlOSmMb+w1zCpc9GxZ9S7zPnbQxONqk3BB5R0XUVeC MYt9anOGW/8ZueYukUW3K7fFZtluWHZNBTbmI9tPEPMHyo/tR0eW3xfZzFZ/IMYaxRz9lnr6 qkc9vovH3d5+CtAP3ymEB+xhuXk3gu2wP6iaBf8f/QYULAQIVqWiSyf+TcD98LWhHyeZtTHh HJJDdlGQ24O+CUb+IgOYX5r5x0/j8OgFB9XRJ3N49KAN337RpKovsdzBv52MMf1L5H0czPfy ObL2NVmi3iYpeMBL7IDsgbeLHoG+gHNN8cHojC4fFYOIVs2eUNuHspvWs5zOfow9p3JN5WQN L5RVjY+iXVOxTNv5iz7BT4gdwjObZzGXpFXDbQD51f3ol8nvCzCvxxrF3L9BvMcfET+1wyqd FPb2U5D+ucerkzI6pmj0vXCsdwIuacyywgcA/zI96RViux+5ric413HZoCQdOmkH6zMHpm5f /EPiYy0cQFrEPrWhm36HsrqDj3XM0hoCd8TRTIl8d6NFHL9JPrVOT5WfYp7VDNXzmtE0/N7b T0X0+yeF5LJnDqzoXNQpg0Tef/pVenZejLOQDbo6ZpdzyVfTnCg61GwHiM7mmKzyIa3/TWiB TkBWVd7PjhX3L+lJZ8xVfgLCvFF+l+sqhOuhNqOYIzYj4adSOzqRFMItrDT5wEuxrb7A3VYs j8mn/qv0iJdY+IB9fw9sOxp7g5M80yvtoMRUiy639CEDw2g4Ch8Mlm1TSb5baLX04c6R0n4U Pii8wjYtfLf04fJFaT8KHxReFXMuSrLtebpyIimUZVupKQKKgCKgCCgCioAioAjch8A/UdEp OkrbCSAAAAAASUVORK5CYII=</item> <item item-id="45">iVBORw0KGgoAAAANSUhEUgAAAhIAAAAYCAYAAACvORTwAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CJpJREFUeF7tXVGWrCgMdfYys4nawWzE395K9WZqFlOzF5+gaIAgCUakivQ576NfI4R7kxBC 0L+m+WfQH0XgBgT++/0d/vn5Gf6+YWwdkofAfVz9P/z+voefn395AmtrDwHlr75CfC/miE2a QEJ/FIHqCLzGaXxVH1UHLEFAkqu5r8fzjUuR+pvk+CXz//RnJPFT/mja8O2YB/MbaKhoK0VA EoH39HxqFCGJ6HV9SXL1msbHc0qEEXYK7+c4YXHG63n83HXz//Selb/6DPaBObRJDSTqa5mO KBmtK5rXIiDI1Wt8oEGCP4FEsCEox7WANda7IG7KH5HbXjAH89RAgqgb2kwOAZpDkhtPeypH QIwrLCX+fk6PYZhrtIIAI9VWz8LYRCp/bMhOP9AN5sZ+V5vUQOK02mgHPATmtN9jnPRgg4fa Pa2luMKyDKZvF0DEf4+dcf5Y5B6MWh5V+avPTk+Y7zapgUR9Tet7RBPFZs7J+waoodkLcfUa h7iwds46DCDDELcJAwcYeDSEUcuiKH/12ekK890mNZCor2p9jxgsIH2D0fjsxbiKswnv58O7 vRH+jqWH0YCkcQhvFU/5qw9/Z5g7m9RAor6q9T2imKH1DWOV2UtyFdQ9HAYSiSuGGkgwWVf+ mIAJNO8Mcw0kBHRGu+AjYBYQmNLm96BP1EJAmiuYZUgHEulaCOO0ku+gqAXKB42j/NUnqzfM nU1qRqK+rnU9YriAdA1G45OX5woECYkaidR7JAxU8vI0TsBJ8eTxUv5ylPSGuZvvDYHErIz2 ylfwDy3AM23pFf5y0aApInHyUe6+59RrcYLLnGF//VWi4xyBQjrJ1GCeFmKL1uU7msZibyU3 J0vt6fC5jV+AqStQO3prYreBRE3+CH6vC/5qYp5aG4BNN4z5jYGE3VvYhXp3bqsCe97OkElf xLeFusRjBn4Y7opM6mY4e8tgdpTj+rq+yMnau/T0YIm48rXVDLy4RAOJtqjxpAlepFMSSLDs MPUeiQRE8ru9hrkoEe0kf2y/p/xN00nM5x1mem3AdKAxzBsLJOx2w7sWWFJYVeL4svYqvdBj u64md+FZZIgNgqARnSu4e53ZlRIHFW7WunwS0w2D+7nPQr28xA6tOGWZFQl02u9Djj87V2m/ 95X8CWN+ge+72mbwYkvjONyRg7cLh8cRIEtglW3+/eXeUOcMHbZfd9tbJGV+jwmwO3+XTcDu 4ibH2k2c5cAI/W0GRclIkPpLvYM9c0d+xa442VLK6xvwCAdP9Gc5dPpj28NU6coveBsadM7b e9vnv5M/w1E6L7a+zouY+9YDR741HR/ZFElXojRZwtZcu4yNmg9cuHEjXhGe3GISKh1BdpYd MlZoqlPcjxFBNpEgN74BdEeSJ/vKjt8Ofyy/1zJ/H4W55Pc5dlKutpk4kPAiUHhG5C/6y2Jh ggGg+OtCuxiwHzhAP7SnzgLHZRYf0DB2RJmxVtzoDozWn+2WFCVS+tvbYJXnNMIR3LyFG7Hq M7w6Lu2CvQaQqf5g8Jcc0wKa/XATyTedmRdbX0kSIY38Gp/3y4TQFF0Ju8o9k7NRwx0S3ENe V7n8uCHkKifHIjfdDjm4Ul9IJYX5qqvg2LEX/uh+r2X+crraks0crw0clP22V9sM8kKq5Pnj tovZVutlZ+TtcPxd0Z5YmAOLbTc/g7V5qURGYjVaVJZQDsTxsRwYoT/WokfqzxXWxDURV53/ ivAK5paVc8sSuDmGhUsyr5AVmVegQ1Z/UH0tN2WXpfGCR6KueKMePUO10aN2aCCBcEWQnWWH ZGhnWUbaF0DFMLf7iCXL1hN/LL/XMn8fZDNbAC5aL3e1zez9b7c2ksbv7VrsdiMTSMACyT1g 8K91IWdLIH1PDyT8YkyWA0OVzO/vNTKKIAn9LTaH30TJLtDLXg/cJgluvSTOPUR4DQIJ/D0Q a1Rt5YBzjCugJT5qIzIvKydFX8neMtHQ7Thgti64vZMrLD7SL6qNsgMJs5AGBc8EPWfZIRla uBGhPCSA+TaMQF8fxB/L71GocH6PdTbbF+ZHawMZ4qjh1Taz979f/0SczHLTAC4QNkTfd21g 8V90BfxtS1KsdRdenUEqI7E4LdQREcZiObBMf6avPYGyV9YmSSXIt2GEGBTtaKNApYp5RWph sCzU3L/REx/740AirHQumJUf0C7h/Fr9fIW+Fklobee53tZZzANm8kDhIGY34ZCH+pWbcyKD 6OlGHPA5ffXUlaDnLDukQhtUx6cfE8S8Q/7Yfq9l/j7IZo7WBirEcRwxEq99F9oMsEn/PRKw eA2mWFZClqIxsEv3/j/4G5iVv0jCs1p/Vw0X7ujDTrmxoOzRQh042nXhWT5h7P7t8/KKBrHP HIfBVaY/r/gLjcorFltmeYVZj70w1uLkgkFMTyJ+9vYbnvBoi1xReWBGVfSVasaIjsF6CFgH lNNlpn5ZCVEbBVzOX1wdt3ej4LzGPNmO52AIfKs1J/uhHVKxjNttxa7eny7GvDP+8n7vw/jL 6WoDNpNfG9rFHNrkuRdSRek6bNL0cxr4dLRDJ411DLrnjFrqr/CaXbmKNfDkfHMCbNbrCETi vExf3QTwBS+YHkkOcFNkCxTo71URBRRyRZRddPx5zKO48zLMU5MgYiDtb4ox7ZU/Ik/FuB49 +O2YBzZ5fSBBTkmGrATn16eUIlWTUeqYBfuz82LUYlyi9Xd0em7BLpKYokPF+oroRPFCJKhf RUCFDwGuKBiKjOk6OdKTizFX/gSYvJG/6roK4fpmm4k5PRFIINfJAI54mpSrl65q/Hgsbq9b 3Ud4VMPvaH2iVD688LJYjG96EDsq2Y6hSgLAGvpKIaBEV0qeocjCbdOKHHfKXYJByTPcOVLa tyIHRVbYpkTukme4clHatyIHRdZyzE8EElzBtL0ioAgoAoqAIqAIfBsCfwDRJD+MycDLhQAA AABJRU5ErkJggg==</item> <item item-id="46">iVBORw0KGgoAAAANSUhEUgAAAsMAAAAYCAYAAAAf6vCHAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CqNJREFUeF7tXV2arCgMrdnLzCZqB7OReu2t2JupWUzNXuoKggYIkGBU1PT33YfbjRjOScjh 17++489DfxSBCyDw3+/v45+fn8ffF2jL1ZtwHFf/P35/P4+fn3+vDvGm7VP+NoW3y8qV8y5p 2dSo63KO5AEjhvVHETg9Au/X9/U+fSvu0QBJrsa6nsMHxy33N8n334OxsJWS+Cl/5/Ag5fwc PElaeXXOo/Y9JLHTuhSBYxD4fIdBlfAx2HPfKsnV+/t6Dt+MFLaGfYbXF9PK76H8HLdV9ymv /N2Ha99S5Vw5X4NAv/00zAMqhtdwrM/2gYDkCLaPFl3XCkGu3q8nKnSjaUxcMAvacV2ykJYJ 4qb8ncRzlPOTECVo5l04B+1UMSzoP1rVMQjQkuoxtulbI2lKErAE1LDl9c/wfT4e4xmISCTn yuq+GgLQyh8bpIs9INa/asyexjNuw7nJGS4PqBg+jXuqoTgC4xLe8/XVTRJn8A8prrBlN1O3 F8Hp39POvb50dwZE97VR+dsX7x7eppz3wMK+NtyJ8yUPqBje18v0bdIImJFdZd+o9Cu1vkYE hLh6vx7pYclx1ukBZnrTMrH4heK5sT13e0z5uxvjZtO9SP+qMXsi17kV50seUDF8Ih9VUxEE IhGkGHWMgBhX6azuZ3gGt0rE/8eW/dAE3TF8h5um/B1Owe4GKOe7Q374C2/Guc8DKoYP9zw1 YBUCYoG7ygp9mIKAJFfR/sOiGM5c36VimEIaKKP8MQG7QHHl/AIkMptwM85VDDP9Q4v3iYAR QXB5vE8r1SqDgDRXcLY3L4bze4NNJ5i9o1gpSxBQ/u7nFMq5cr4Wgd77aZ8HdGZ4LdP6/KEI xCLoUGP05UUE5LkCQjezZzh3z7AX5yqG6U6r/NGxukpJ5fwqTNLbcTfOfXsPFcN21GmvQhr/ mcMvyd12Y7J70G8KkBvFmk3Vzq74mia6TwUll7ZS7kalvyRc6r3fCXmcc3A4SnLJh05LpWTv 9pXMNzGJHGAjYNMan8XnZn4Bpv4ASOnrZm6m+n5ieE/+CP3oqfijxa3pk+e8ZvNbnMNo9RBC ilhkT87dChB2xaG3VjnfYTVzX84XajO5oWPODxfDU4cBOgkDVpBkDZl04TiLTYG7Q+FskrVz 7W0FY3J+uc9gtQoCtNdz96oGTba/ow8giL1pX8XAoEnFcF/UBNZEg9sW32fFde6e4QxE8jMg HXPRYtpK/tj9aPf8VURsksMc6LZdMJftLYYZ5K/k3Nw+wcp1yjmDnI2KruXcm4XpEczkzjg/ VgwnnYNDDJDScrilJdlW3UtaXFZmq6r2gALmU4ID4ZopTp39l51mm+YBADrzC+5JFMRbDpve 7ZNoacSTqbJxln6TuLbmtM1wS6DTfx1y/Nm2Svejh/BXiNvoOio/iLMrD1Ygvse+2n8CvNf4 F+Z8g753/5hVzql9VVaPUCvIlNuac/wAnRvZ2iWeYDZ0mnKfln7ACNeL2rf/8pNPLrC8m6Wc RwOv72C3RxRmL7F77rLvWhBkJU1CfXMnTpkZJtXH+MZ7rT43cMAdpXKHKnUEl3PiVj/5AL+A 09mZ+oLlRlseLru6rTXgCzLQ3Pmb4+PfxzxE+2ltF9P/jTlN9llNAbYWeb+s+Up2dD7GcmK7 L1yJ+THHTwLH9AcxrwhPXhDFKzcE21lxTWPalqJ2smKY35Q/Vj/aOX943IYfKbD+4mJz8h2X M8dYcwuEbfFfjZV+Ytb21eSOl076ETGrnIO+PpcvinqEzi9WcmvOUzEcjNzhfpNwtLhsbwCB FwR+KH5h7vPLZrWtB2nyq7zLIUhPmrT6XMYknDin1LeUqe9TrNW3dDQ5R6E5UCRa5gGPE5pZ EeUHMkw/8QMgKzpdgsj5HRwQZX3TSprvizJYqcXjjv5fMyX/93AP/ef9HlNOzVfQ7mUZ3GKx 6wYdPnbTmI8EMMarsyvUvjFXNNvpcc1BlvrRDSnMna+CSYC78EfvR3vnL2Mf2BqQzICbvs73 T0AMc1o6la3FSi1P7xmznFzHQeKImFXOSb7nBj403dET58hHN7L75+ItDfD/yXaHcNM2HCFb QF1mDH+fAoPaUnmXqYWVNAn1sYQWqT4/s0fY01uqD84wZJZ6t9oPKeInoG1VO+fZWkyAW9ZF Pscs0q5IAOb8n9MVxGX9bHkwoCL6XlBX6RlqzJfKoWIY4YpgOyuuyeCOtszL1uWHxDA3ksYd rroTf6x+tHP+UPOi/hhyC6/vK91sQmr2iWJ2zsei51eOiVnl3IqraN870HoEPULyb7TQ1pwv 9c+3SWQTDpzFmzx8AQUFKD4oMG2dCDqCuE4Pghth08VweMCOlTSrtpvERRCtwPbwkETuAGA4 05R1koJ96Wnl9L7Uqsi0L+bPDIv4SSSG8XuC3eyCHUBBzNJTstjXxbjBJ9IuayfB/7nGJeX9 zAtchYHvzfkeqKjk/9SYZ4thE1PRoVhCHLLimoztMjinPSKA+fwigbpOxB+rH6WRMfUJrMPS ApjnbJvFQDRzGXBET+otOcHux8e2MAbbmRBRE9iY9q3GlpaYndpAzHXKeR6BE8Q5RY+QKcZy 3aZxvvQjy9VqSGKbToVCUWIjY1n2sc9Eh5niJWs/sxf9PrlNAix3o8mP8C5W0qzUZ+qaOXAi vUgowb6pfxjxo5BLrG/dNokGF232E2SvedxRW30+nUYOuSyL4fRKvj3b1eb/DRbaWBz8pkOY pIi+Eryz+Ewt5uEWlwyv6Mzw5P/p7SdlDFlxTQU2tiP7nCDmN+SP3Y92zV/GuFkMw0GoiyGX 90SWj08Us6xcp5xXxHCuf+yrn57kjfCh5K37aVB/eM8wPEAElzdcEE4H6MBsafB77D5FNz7M ABSOKKJ6Y1Fdexe0PRGbkdM40WWE/HIf5PL+dKQTX/HGqy84gIMKYV59MHIOP0BX9RM4+2ww Bv+f99JN1+oF/pXwvRzqnPlZRisyhzV29v9yDkB8Au4b9HdzV3zZReC0RzjcwG8Hspj/22fQ mIfcjaJ2vosb5zXlyVYccrUqrqlZNC03H4oJ/rQx5jfjr96Pno2/nL3L7NLS5jEmgG9PoRcO rNjxX4uVDmK2nuuU8zwCDTqgA87reqRfzmEeWPfRjWQKH2t02/JQIvJI76p0L+NVZGYyckn2 9HuMsZqDhNqTfdTZ53Yf7e/JVYdTGptD4rzN/71FuGiL7CXZAW6wmMXuOv9vRM0YMp+qT/ei NddKf3DEq3TQfTPMcxYqf3TunO92xZ8Z4sGVRLQ1bWcbpHMMD2hQWmM2gU45b/Ym2oNb99NR /duLYfI0d4xPtO+RmDBwlJH7E69an20XY68zzS1PUGqd6GxqIMWHmv0f8dlmMSXt/01ogYcA VxQM174ueL7kJxtjrvwJMNkhf65V2VuScmdkimhozC7wKOdgd5xADFGruHI/nfrUCjHsDyTg 2yPwJVIqCb6cH02X38WtNbgqREQ49mKf9IEFPrLdPoFtu8DuziY3YA//pxjT4nstz1Bs4Zbp xY4j7W7BoOUZbhsp5Xuxg2IrLLOh3Vg/QzkjUm3ChjZX370Tdiw7uIU3xE8555KxU3ke5yvE 8E7t0dcoAoqAIqAIKAKKgCKgCCgCGyHwBwCQKtIyoZcSAAAAAElFTkSuQmCC</item> <item item-id="47">iVBORw0KGgoAAAANSUhEUgAAA1UAAAAYCAYAAAAS0dfpAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA C+1JREFUeF7tXe2x5KgO7c3lbRI3g02k/95UepLpDaZfLr0GG1uAAAkLg21N1VbtTGMhzpFA 4vOv7/TnoX8UAUUAReDfP38ef//+Pv6n+AyPQD+u/v/48+fz+P39Z3iMRlZQ+RuZnTa6Kedt cB1ZqnI+MjttdLsu58jYb5Iq/aMIKAIIAu/n9/lWZE6BgCRXk6yf1wdvduo3yfpPAbiwkpL4 KX/C5DQSp5w3AnZgscr5wOQ0Uu3qnAftezSCUcUqAidH4PN9vTSjOgeJkly9v8+f1zeRUlk4 Pq/nF8u53q/8d+fAsoeWyl8P1PvWqZz3xb9H7cp5D9T71nkPzuHYr0lVX4vT2kdFQHJ2ZdQ2 XkUvQa7ezx80YfKhSiRegnpchRpSOwRxU/5IiPcvpJz35+BoDZTzoxHvX99dOAft1KSqv9mp BgMiQAvOBlT8hiqJcYVtG/u8vj+Px3TuNEi2UmV1vyjbApU/NmSn/0A5Pz2F7AYo52zITv/B bTg3ccIy9mtSdXqz1QbIIzAtWf88v7r5Tx5ZeYlSXGGrT0a2S6bi3+MBo7x1UL79Z5eo/J2d Qb7+yjkfs7N/oZyfnUG+/nfifBv7NaniW4p+cXUEzKxD4VzN1SE4TfuEuHo/H/GlJNNq1AOs PMVlwiQKJmGnQbCvospfX/x71K6c90C9b53KeV/8e9R+K863sV+Tqh7GpnWOjUAQTI+t7M21 E+MqXmX6vH68WwDDv2NbG9Dk7OYUZZuv/N3POpRz5bwaAe2nq6E7+sOb+bkb+zWpOtrQtL7x ERDrDMZv6uk1lOQqOCeVTaoS13ZrUsW0KOWPCdgFiivnFyCR2QTlnAnYBYrfjHNNqi5gs9qE NgiYYBpu+2pTi0qVQECaK7j6lE6q0menTMeafONKosEXk6H8XYxQQnOUcwJIFyuinF+MUEJz 7sa5G/t1pYpgHFrkXgiEwfS9Wn+u1spzBRKmxJmq1DtVBjl5fc7FB1dbebyUPy4HR5dXzo9G vH99ynl/Do7W4G6cu/Z2SKqmQc9eURz/h8/wmvL0m9jksmNz8MzpSHm7pmyyVjfseubyp9kS cluOIDcO8/vdaIbbELiEQHJZeyf32+ej65dr6Gx3NbeR1/p79ruVX4CpO3Sb2PbnWic/kIgZ SENBR/JH6JdPxR/Nb00f74+Z4ZhIkyNnBEdyPk9WZMdO5fyA3RXHcu5sNRnfKOcX5ByLQUGv NTDnHZOqGaBom4wByyQcXmRlAKYnNGvHWxOdBaMNnI22A9re2+CmoOz5+thaagNBdEBc3tER aPKk1xN/+NTWQU9s5QbuAyWBx9s0qToQd25VwWOCNb7E6idS71Ql9L5nUsUgcSd/7H55eP4K ydAyLkb9u20XHBuPTqqO43wamHhjp3LOIKdR0Z1+vmpFjW+U80ZEMsQKcJ7bBRJpMhjn4yVV c6blPbJZswJTE2QVzUY6qSjMdhf1gYn76/V9YddBc4TMae66goiuGA65OsNuZCoUtquSa+CC thW8uSDIn1QLplR9e1trSP0kWjqvUvjzLv6159RamvQTtgurW3Gj6n3ucnL8WRyk++Uu/GX8 NriS2E0G2P7ZJhrvqe9/TZ5vwRjU/4U5b9C3He+zyjm1H3uLxTd+jco5lQFqOQk/L8SgVFUS 5Vpzjl9U4VaLzIqRtzIDl+TA7JibLXubWbN5e8Ic8CBLeGtWOa944Ae65+/coBG9FZSsb0OR FSwR5K2DN2WliiRvMr5pMCT9KclbZgbIxlKStwYq2GH7whs81BmlVMNrbe8DbA1G2wl53jYa Wx5uJ1pWSsHr2FBd08HbAGb6nUrhPFGwbN1p7VM1+tnmuK01wO8pthJyWfym0I8YcNcZ+JBX hCdnr+E0flEP4dVigAPVF8Uwvyl/rH6Z1NnOhXrwh/cr/sOZ1l6W/mO2nWUcnsbeZQPEt6p/ KvrKOD5r+2pyx0snXTkPJ4IG4Zwb39ApVz+PttsPwnk2BmUQjBRt7edxUuXN+sG9s34GOgel JjECJHid/bJNDAmyw60b8YrIXJf59zg5KtS3gEhPqmjylpGWcKMXRR4nEy/J2wYYmrGU5Hnp A3qOjVZPEPzCs3OpPYp7bM9tS4SrnCl5cOY3WacNrb5PShJd8vE97arwqZI6+O/+mcXP+z2F LhxbcVJL35T6ERMkIpMx3uo1tqc/5Kqkx6wvvZ/goEp9/FcK88VWwdbcu/BH75dH5y+hH9jy Fq3IGZ9w/RNIqjgtXVLI7Xwz1t8sE06u247H/iN9ljN2cpDo4bPKuTfxnrK9JYGmxR3KeRqB 0pg41ti89U2SR05a+/kmf72oInkWYJ05XrOWbS93+NsSjLlOGM6uWScCQXVppQrVp1AfO1gi yGMF2CR5bmWAYDA5eXCGkrrliKifDdWesX6tzouI2B5oW1HPdfUIXMbhzdz4s8Sc7hqWFWkX w6dq9XSrd94kB8NW1npz31D7kVy5AIslPdq2PTlFCLo3S6rW7Vh5NsQwt746r4TeiT9Wv0x2 jMnvO/CHqhf075BbOHayziBgFZ3IZ9fxXfR8r3LuEpx540ZwVg/+PfX/MzHgjB82+YWMqdLx jfp5GoGT+XkqBiVTHBVs7eebfC+pQt/mCc45ec6DEhUenp2XlsPOH0uq4LYGelLlX2TBCpaK +uPJRZJYgjxWFp6RF98GRXgfh6wfnlQUkxXbOP5KVZIzju0FSRX+ztQyY2NHD7haEA8C8L2i WkcWaZfVk+ZTtXpuNulWoZHBNdIDqS1nX1Qu2UmV8dHgMhuCnbP6CTKw/sRR+TM3gwhX92Fb Qu5zEgVknYg/bNKnjHepRE/+At3WpCqYYfU4ogcKVWPWYD7LGjtLVK+/K+fzWOi2k/rn2pPx XuN+uiq+Uc6ZSdVYnPvKy0xsbzJb+/kmf7tSHXGS+bY6GIiav4KtB/ab4IB/uG3KrQoE/x4m Vd4hXBvTIQ+wEupjBUsFeUbWurg2lXW39+UHqAIecwpOuwqT0N5ZHPFwPFGe0Q+7rIJcD7lz WwpW2x5yvs87l7PJN9z5tpFPqgwGu29UrG5XnU9xYXdByssdyrC2tGBKtRVYafabUj8C603w iq5Uzf7kcUXQndVPUIEl28x0wYAU5hMmYrJOwh+7Xx6av4Rya1IFE+vFh5axVKQ/PgnnWw5E HDuV80KAnRpjxuqnWfGNcn4ZzlMxKJXiqFzrsRnI99+pgofq4RL70vHOB+7BtjDv34PfQKv8 zh+em/Df3ogCozBBK9UH9Y8i4qCzMPpl5MUzJeHV7jx53sF0NFrnyYNGgw+uTHlZ7CxY0zar zPX24eDMtX6W7cHVMGOP4O/rWQNwQYSz2Yjv7WKGle8ti5Y5FM1qV94my5yXQEdswrtUBjxp UPK1cLKl4E9WM7QfgdxNydH6NhzOa8zTYpvwAHtJ96Ktl3DEf18vCvB+boz5zfgr98t13Nng zV30cih/KX23mc+tzZNPANt2l0LBpDrfeuaYMIjPlsdO5TyNwDk53z/WZRBRP/fj+EH83LvU a/eMts9/674dyt/3+G+0XQQz5PotClGyQKqvMKxAh1J59NGIurpGlzh+yV2HwCubR7LJep9K B4+BviQ9gkCU+E0lMiXH3t5Y66HHVGfuYjK8UxfAPIUKEQNPL+I3yl8CASJ+JFuwcxBgpwRa Zd0WGeV8AXM0n1XOm3QtnlDlvD3GYQ0wjiL2kaJKtuY8kN8+qSIvu2EwBmcKdhHi33Bia1N5 NNu1OBEu1qBJO1GpfclLVUMpNlntU4gPVAfl0v5UhRb4CHBFwXBvdf5InbngoDHmyp8Akzk/ 78Tf0iq7SoXdRBqedyKhoD67waScgx3IJOuRKaT9NBrpqp/LmFckpbWfx/J3JFVwG18ccOPb dGpwc7Nx+fr4klUeDTN49oj2xW1KYdsJ1yvkM1slkwAd5VMlhmp8o+abkh41v4+iB1d3Sb1r ZNV8w20jpfwoelB0hWUa6o31MyLbYxrqzIJvFD1YSk+FG+qtnHPJOKi8cl4PdEPs6pUifMnT e0dSRdBFiygCioAioAgoAoqAIqAIKAKKgCJwcQT+A8hrd4M+jb2LAAAAAElFTkSuQmCC</item> <item item-id="48">iVBORw0KGgoAAAANSUhEUgAAA+QAAAAYCAYAAABz5TfuAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DN9JREFUeF7tXevR47YOdXq5aeLrII3479eKtxmnGN9eHIkSJZDiA6BAk7TOzmQmu6ZA8BwA AvjSX+/pzw1/gAAQqIrAv3/+3P7+/b39r2ovEK6BQDuu/n/78+d1+/39R2MYl5UB/q5HPTgH 559DAHH6c1i7PcHPWyHfrt/v5TwQR+aCHH+AABCoiMDz/r4/K8qHaD0ENLmaZP08XmHdYr9p 9q+HyjiSNPEDf2PwDs7H4ElTS3CuieYYssD5GDxpavntnHvju2liB1lAAAj4CLzejweq8THs QpOr5/v+83hHynEDx+txf4fq9ecj/dwYWLbQEvy1QL1tn+C8Lf4tegfnLVBv2yc4b4t/i96v wTnN91CQt7Az9HkdBDRn+K6DWpuRKnL1vP8Ei213YJGiXVGPNkA26lURN/DXiENpt+Bcitj4 7cH5+BxKRwDOpYiN3/4qnJNxoiAf32wxgo4R4CX2HQ/gQqqpcRXa6vx6vH9ut+m+Dq9Qj7XF GQex5YE/MWTDPwDOh6dQPABwLoZs+AfA+fAUigdwGc7n3HDN91CQi80EDwABLgLTlpuf+xsb 1rl4tWynxVVo1XuWbQvx4+/HF09+u3tLpPrsG/z1yUtNrcB5TXT7lA3O++SlplbgvCa6fcq+ Eud7voeCvE9rhFbfgMA885U5R/wNw/yKMShx9bzfjhf4TavgN7LifWzjF+C0gP8KdOsPAvzV x7i3HsB5b4zU1wec18e4tx7AeW+M1NfnUpzv+R4K8vqmhR6uioBXiF0VhiHGrcbVcXX79fhx blv3/x7amhUs7IcAspGS4K8R8A27BecNwW/UNThvBHzDbsF5Q/AbdX0xzm2+h4K8kb2h2wsg oBZULoBV6yFqcuWdC08W5JFPa6EgFxoE+BMC9gXNwfkXkCgcAjgXAvYFzcH5F5AoHMLFOEdB LrQPNAcCUgTmQoxuVZY+j/afQ0CbK7rqHS/I42fF5wAd/Yb552AZpifwNwxVaoqCczUohxEE zoehSk1RcK4G5TCCrsa5zfewQj6MiULR0RDwC7HR9L+SvvpckWI7coY89h3yGXd9fb6bTX28 wF/vFgPOe2dIXz9wro9p7xLBee8M6et3Nc7teD9fkG+f/5k/AUT/82+jnhKiG/+Gar0ZlfmA vdWL8y3hvDEa3UKfPMo/mmyht611xtqOmY95Wv0dx+U+q+vdHB22SXJhl+a2nJO2tD/eu36p gS52XPLFsNL4kXxu45dgai8riWxVt6PTfyGpGUhFQZ/kjxHnh+KP57fzOyP93uXJ0TOCT3K+ THQl38Xg/AO7uj7LubXVaL4Ezr+Q80xOC86/kHOzlLHVb4c8sGPO2xXkJjouoFHA3NWi2Zn4 xfD2ki3JxL3Mguphkpezt2RPCfj98VpGrbmFeZ3YUBjypNf9vaqolGetwdBXzuisVfArqaot ZnJ6O2wU5NrgKsojPJX6pijuxL5DHhnSNQtyAb8n+RPH+e75yxTSczISmqwy46Lv2k8X5J/j fHrRyd7F4FxATqWmJ/1804qbL4HzSkQKxCpwLsppwbmAnEpNFTg3i37zwiKnKOqM8+4Kckpz ycqvarG7L1PpFpCZVTGJqT8fj/cj9IkliRDTdp9J1Dmzuky2RGV1uSosBi1WRrkTTcGxku8r KtqD1giWybJ10qRL/TRGepwQfBfaZZW4M3ulim9rYNWjDD3+zOgqTBR+nr+E33qfkLETSSZG myL1Ob1LHpPnGzA69X9lzivENnCuHSv0ONfLl9wxgvMeOdfOacG5NsuuPA0/z9QdJwdQ28/D l7qts+hmS5ezMky3f5DZdDu7/pxn2ZetcNv2ZH8L9DYjMSf7LgHObFbo+3PRfnaURYkxQ96W qHFWyFnypjFPiQ/rT07eOpvENpKcvC0pZV4klZK3Jrd3uzXyMFuV+cYydyY7BmSpDb+IjVOd I/KcrZ+mPd0Cu87SzWMJzNbNyYFJfqffuSZhCkbrU1V9cyoGS/Qzw7HbQUn84Niez2X2mUw8 msHdVv58XgM8WfsP7uiY4t0hvhXGHZbzL424vq2G+UX5E8X5zvkL+y0psC3Ha/xYbGd9n082 bndJFfn/QD5rYjU78PJJb+Gz4JzE+licluZLfMqbxGlwzuBcmtOC8zgCI8T2bN0hIDjQtHZs PxbkzioBPePjFs9LITIX1STRdV7w6+paoLDaC28vKSZb5o6FdaafFTx+Qc6Tt2bFjJuOOfIk M3Y5eXsywTOSnDxqfZxz+2l5Cw+TDZgadZmo8escnt6+jZCzj7EtKWds2G6lN4XvmqTG5NFJ o2ifpqx63zkTOrlYcWZcYt/MKRP73bWd12QAr1yMCIrK2WsuHs3cBc6PUV5XvVwz8rnK6bEo z487Elwzk1abKC3MV1slx0muwh8/zvfOX0Q/swK+rH0fdgLMPmHjEynIJSNd2uZ8pSeflbyL JUi08FlwzrK9dfKFl3eA8zgCI/m5HQUnpwXno3POqTskLLtta8f2Xf52qVv0zOK20rSqSP/u /+YlugakrSCZHGPLgOMr5EE9Mv2IE2OGPFExxZJnVxAZZ6hT8uhKBndbK1M/k1rNxXTOchPy fP5Cn2+qdT5WxYbJ2LJ6bqvWFjM6kWWsct/+mcM08bvKuNi+Wa6o3TXgHFcQ2N7Wc+oZbjxK tQsW5AGuGLpXK8i3LcRpPtQwN76/THpdiT9RnGe7xmRLDfgLque9Lyi3NDaLzlyGOhrIZ7d8 QfU+E3Bui+Nlw5h3N0Esb6wdp0vyJfh5HIHB/Jyd04LzoTnn1B1sig8Na8f2Xb5TkAcPwzsr S16gDTqnf0HMskLqvvADZwa2ev/nuCqd7Ue4UsWQxypMLXEMeUtT5mxdQt7xllzGNnO2fswC MiHPL1DKC3L5Cnm0OJLYsFeQhy+IoJdHUE79gnwucviXE8YChsq4jO1xfLM8bO02bnfRBBKz gx6B/lL2yuVSnOgFuGL4TZ2CnE5ecviwKxd0dxLl2uc+JVNB1kD8ieI8hwob5zkXy2zyFDCP 6bYVJN4sv8MRP+GIQjAQ56J3MTgXJur2CATZabbMgOyXB8b+328XnDiVxemifAmcD825qzwz pwXnQ3POqTvYFB8a1s7Hdvn7Z88CCeyy1Y0WH/NfyTY38wzZkkx/s4Oyq4jO1t1AQT7LmpKY YILL6EeUGGfkzbL2xXyy5S9eMeVxMPX4hB0nUWOMdxHH/MQTU96sH+tit5Q8x47ChQBbb6kH Fdtw4F4E5xzyqsgkf/YJ19bSBfmMKYfy5FCLx1Xim1LQN0efzmWuW2ONbdJt/xk9/C6T9pqL R7TfCK+RRO/AFcNvRHGHCy3bZqbLuLQwnzBRkzUIf+I43zV/EeW2gpzG4tWH1neySjwehPMN Je67GJxnEvVYbO8rTovyJXD+NZyzc1pwPjbnjLqDS/GxHufm8IU5FMn33O+Q04uj6Hau9WW7 XCpFtjQ7/+79RkblvPAPz+xng7etTv6521w/VO/jx+eOV+En5B1nVP0VTu9FM48zIc+5dClY mcnkUWMJJ1JCeUnszGtMhJ/Rj8g8DvmDl7plbZiuwu+XDTqXGoZ8ImTDJLk1z9PjGRoXCH3C N9kRK2AT9BwpHX/Od0vsKxiPCJfTLfH36ab/PV7R35YL9TY/dwzUu+wpp3vWd9iAOg23S3vc fw180oOc6TuL+cX4y8f5Mu5M+LOXIn6Uv5i+++z7PuYp1hHbthex0gmZ9OgL3gkd+Gz+XQzO 4wiMyXk+XwLnX8d5pfcyYjvNqYjVdBDb83VHv35O8wW3IJfq7K/cBZ+Xb4c7FJqsfjIpBE2S IE/KtJtknsFPe2VCPJIGD5y6MKlQXxZHct90Epxg4eHpy9LDK2KYzxQikwsU223Th3OQVTo8 4pWavwkXewqYx8bG5MLRi/lMFTipr7XQY+qzK/4mkJ2dALF3tP3UoYAUcL6CBc4FVqPUFH5+ ABJ+rmRbiXchYntljH3x3+7n3rujfkHO3n7ppPrueddTiVVke7xznlZiZJBXXKgYHhmXxkno GKLtucK3aIgcnynyzVmb+B0QgSxhPzsYLQa8oxcc3YtA4TxEuPq4Hik7qYx5cUGuHQ85HKXa gL8QOmZ1PPTFB/9OBhb84HyHqUOfXZUD5yxjLmgEzslJqQL8Sh9BbEdsP38nE9/6avv5Uf6J gpxulzwWWeEtoXwo9huq0/1IJC5tIU+OmT9ZEtm6khRMz1qf0+Drnk4c49g+wSYadG3f5CpT 4mslz3D1kbTrRQ+JztrxrQSDkmekY+S070UPjq4a8ZXRTyjOnL7gQtvmGOOINgHnB2jA+RmD qvhsRVsF5xV5OyManJejVxG7cqUYT8r0PlGQM3RBEyAABIAAEAACQAAIAAEgAASAABAAAkAg iMB/LPe5rmo/zjgAAAAASUVORK5CYII=</item> <item item-id="49">iVBORw0KGgoAAAANSUhEUgAAAjEAAAAYCAYAAAALU6wjAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CSxJREFUeF7tXdGV6ygMzfay20Q62EbyO61kmskWk+0lz2CDBQiQsGzjoDlnPmaCQehK4iIL 8tdn+rnpj2rgYA389/t7++fn5/b3wePqcHwNnIfV/7ff3/ft5+dfvtD6hNeA4jeeMXwv5khM MCRGf1QDh2rg9fg8XoeOqIO1akASq6mv+/ONS5L7THL8Vh1c+TlJ/Sl+17CEb8c8mt/tGqio lN+jgffn+VQGcw08JbF6fR735ydDYaw63s/HB+M4r2f5uWvo8gwpFb8ztH7umGNgDmOCkphz LW680SV3CeNp79gZC2L1etxRghJOKEN0BOU4VoEnjyaoN8XvZCypw4+COZinkhiqcWg7EQ3Q gqHIUNrJRg2IYYW9hng/P/fbbarHi8hNrq2+f2SjqfixVXb5B4bB3MSPJSYoibm82V5pAlOq 8/746MukK2AmhRWWXTF9O/KSfp4G4vqrqCto9FgZFb9j9d3DaCNhvsYEJTE92N4oMhj2XKmL GEUV3c9TCKvX45YWcU/ZlhvIrKRtYtICSU/3mutDQMWvDxyOlGIozNeYoCTmSCMbfaxo8Rpd HV3PXwyrNIvyft6DU0rx31hKHCVDXSvwZOEUv5MBOGH4wTB3MUFJzAm2NuyQYk42rAaPm7gk VlGdS5HEZI7xKolhQq/4MRX2Bc0Hw1xJzBfY7NWmYBYv+BrhavKPJK80VjC7kicx+doXE7Cy d8yMBAxxroofUVFf1Gw0zF1M0EzMFxlx71OJF6/e5R1ZPnmsAEHJ1MTk7okxOMjL893oyutL 8evdYkbD3M33BBJjCnLM0cr0N9xpTU5zo59kkWOhUD7K3RZ107ayJcdJxztxgWMEijYl06F1 WIgtepevNA3jQ0hhLWHmrf5UfM7jC3TqihFLt8EOS2KOxI8Q9y6FH81vzW4+XIviNYfWD8Gl iE2OxHzeHKRrExC1Y8xPJDGzgpL08BTMHv66TgMknUB4IATukoC7QWvgW0/TgHklAd7elUEn akQv6KsZuJRISUxf0ATSRJdktZAYlh/m7onJqEh+l9kxFi2ibcSPHfe6x69CPszijBF8Oy+4 9hxNYhjgb8R8YjB+zSX5e2eY90diAvLH3z2SQGDYh20qTTKw3WaX2QeuonLt592d55boXMHd BpXduJRUvH56l483G7x1hNO8y2iqX9rFD5dNj8AeRUJZHfYhh98uce8U/Ap+Gx1FduTbvgmw C/vr83y4r7ro1f+FMd8h9u5djI8X9i7s1KaXggzEnOJK0k6Otb7c7ZtuwYLtl0yDZ3Hz30Em ZnreJ2Gws+7ZcdZ4wgqehP68M1MyMaT+ct9pUbkDY9FbcwBvxfQNMISDZ/oL0rK2ffTa0PwP 3LIIVwL/PRjT5+SvVWqdV4utuu/u4chnObBL1QJ/ItlKtE5Wn6n4p/nCIr/DjHFFcHIEPja6 qhzLnJuNNc8PqAFRTOeD4seKeww6dwZ+eFwJL4Sz9rLE+Nl2liwMWJOa4lPVV/rxWRuryYGX DvremKckJsg6wPdyIeObFytDRAAIgRGEpAXGsyRliRCjlIxUxll0SicxtP5styR2SulvbYOd sKCBna8lyp742YKpe81lycLi2Ln+IPHMjmkVWv0SQJKLbJlXg62SZEoahTVd79drChUUW4k7 qj1T80+DHbKpgLgucoXcI8aqJscsN90POVqlXnYnpfPFVsGr3lHwo8e93vHLyAfLFuJMu/EJ t2mFG2vOVGcFrpt+LN4sGzznb+maeqTPltcm9tT9A3v7LHLZXfadc/yOEP6dvD8Mi5Igy7XA Rrd0+gUdGAwqR2UcdvAk9MdacEn9uZ15WgOz1/t+EUzB3Kpy+uyIm2NcpBbuglodRGRe0cJd stVWOV12KiCuRFsJxiw9Q/XPUjuUxCBYEWTfjcT49H4ZDTGd2z3MnH0eCT9W3CM7xmRLJ+CH igczLNGxffh2oHRSjjTtC/msXz9F6zP3xnzt359OygafYMdmt1pr4RMKVFwUNb9iio0id+8D ncSEhb+s4FmV2wQwRsEtob/Z8PETV1VyMO9xs6e6cpkYEUwjEoOPtbB5S1LhHNNKe4kvKBOZ l5WTZqukoJVt5HY6MEMJxyUUsZfsi+qfbBJjfCAqrifYOcsPyYoNN0D1xwR07gcR6OtC+LHi Xh2IpcWZ+EVCehITZQoCjOgLcFYFF8K8tDaRIU4a7o352v96xBoJcvNpIbhA2e3JmnKzz0SF m3ENidudR/8vkZhkoSSMwwqelf5MXz5pBNOPOUQJ8s0cBi+WpL1OajCnZkzB4lUirYtuQt2X SYzRweaSieZ5tdlqg+at3zx9oRcgBFRbgYMWn6n5J3wVmMEVzcTM9hpgRZCd5YdUxZJtRlDn A+LHjntd45cRzpMYuHlYfGhZo0Ti8YV8trQ2USFOOQw1zjf6LIgJ4T0xsFgSppYWQObCXpCh CP4ffQZmFRpFppDQtTd9xkSoNg6UO1khoyBvxin0l94bEB/15vUXFBqiq/eBhb1VTCE2Bmfw t39XPB9NDGwh0edayOr1ubJCmSKyQ2yV6sKITcD34kZfbv41W443DRV7tRKi/gmxmwKKv5sJ xzXFyXYcYlWTveiHVF2m7XxhZfDRzjofDL963Lsafjl51x38OufJJ4Btz64aLq7l2fPWhF58 tr429Ys5jAnbLrtLUmbYpPmpuYQJk8apmJk7YeKDPv0eGqznILBuka/xKGu7eXXw5KaiuUb5 SRjxbRVKgy+2kbwkOaYQKmyvjVozgoQnBxn3NzWPCR+c9FU6OLGbznPCK348WHvDz3J+kGlH Z9NWu6c+uyhzb8yj/vcnMeRUcLAchPUKxMCBexdynr6X/qwcjNobXvjouPU2stA0MQrmTbZq WXF4H05JwKoc0vbapC3wEMCqKvvWseLnS3ays86bSYzit6quQ/wW4bIXmcY1ZiSTVsyPwzy1 qQ0kZj2aFbxigkYC0+gkYwi2YNPCEB3lFlnwy3KzxQzSzhxCghf58sf/wiew11PYPUXkqe9t q1RBWmyv5RmqPJx2vcjBkdm0lZS7pa+WZ7hzpLTvRQ6KrLDNjnJjcWZzwZ60zXH1dZDutohV fZaH+QYSU5VEG6gGVAOqAdWAakA1oBrYTQN/AKGDxY/rsprYAAAAAElFTkSuQmCC</item> <item item-id="50">iVBORw0KGgoAAAANSUhEUgAAAfkAAAAdCAYAAACpFBXEAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CUZJREFUeF7tXeGR6ygM9vVy10Q6uEbyd1vJNpMrJtdLnsEGCxBIYNnGtnbmzey+2CB9+pAE CPLXd/wZ9EcRaETgv9/f4Z+fn+Hvxvf1NUXgaASO4/D/w+/vZ/j5+fdoCG7X/3VtjnDKBHn9 UQSaEHg/v89305v6kiLQBwKSHB7berw+uF65zyT77wPR/qWQxLxHm0f6Df1bRCXsE4HP9/XS CN+nbVQqHgKSHH5/n4/XNxPirTif1/OL5QDvV/k9ni76FA+Be9gcckqDPI8Z+lSMgGQ2rOgq AkcgIMjh9/OBBvBQrUwiICjHETCeqk9BrLu2OdBTg/ypGNqPsDyC9yOvSqIIpHkqJzAzcMOW bD+v72MYxnqnqI/cs7rvxQB6/SNifqt3mxv+zZzSIL+eNzdsYVzyejy/ulh/Q9NfRmUpDmOz c9O2C+7p52mgoZf6LwP7oYrcyeYLpzTIH0q6k3ZuskRi//GkmqnYd0FAiMPv55AWn46zvAHM zNNn4qAOk4K7GOAAPW9l84VTGuQP4Nrpu4yc2On1UQXuh4AYh9NZ+Of1CKrs47+xJWM0Wbif VbbV+GY2d5zSIL8tra7ZuthguSY8qtUJEJDkcLQ/WwzymSNXGuR34MzNbK5BfgdOXbUL48Tg cuRV9VS9rouANIfh7Dwf5PN778YhZ8/YX9cMu2p2N5s7TulMfleaXaOz2IldQyvV4k4IyHMY BPDMnnzunLzBXV6eO1mTp6s8xn3b3Ol7wiA/AjvwK7vlsjdTyGCOxMTHYu5XGYtjCoqHJJfF eOOX8VQP8lXKYI9hzVXa8PfxyhVfvd0l1gxziDxifAFS+MZou9UvFN/ztgD2ccVepZvRDgny PA6Z2eDk89y/2Pfy2mGYhPnInjbP+Xwgasc2P2mQNwbmn221A9KQU+AMKszCLfFhdbl1wPzE g8nmvh4DlytokG81TY1DnJzZdM4a/m7nfRrka00QXYLSEuSr/EnunHxGbvlZJgUQwSETvLAE Kkg2O+fiSpsXfT4Gb2c2P2WQbylOaRnM1PAY19bSoH7pGdWU0fpcCdUVnEElZi0kvps80IN8 lTIUZ/JzUtkl1psYcEWjEX9NS43jdRN/YsVpW5FoB6XAxeiomUtubM3A+NlzvM769XRX8VZy ul3gyjflbG473mAit7XN8cK7OXuzs9/gHLSbSURL1c4Jvd3tTo6o8PnZGfksp3HGi51xzPa/ 8KFqUDLa8wZPzokTZ11n/ZsXFVpt42eB0YpGpr1gec4KC5es5jbAbUpw5Pn7ksfP2dfat+rV wLkm+ealVL9c6ezO5UrkmnIypLg7x4It149Bwd13XoO1sC5+Zgv9RQsu5DuE/zEXxvuECDyb 469z2vFgJOWY9s4lVgbjiMV1+GKYm8QC5VB4YYztb+b81PfMx3H8uXv4m7hIYt2PzfM+vzLv iH0BM7FrtXka5INMBe57hBnR5IxMoAZGCEgQBnU4jkqFJxRc6eAi+p8b5A9KXnu22VXHYKKg Cfe7chnAGtu4bQQbTGHAcMkWsDVMpLJ9WgDIL+Og7Jlmx/1xbtIhrAH5vN9j2lPBFQ4QOdyz M3lOo9gzkrpItUVhSfkfuJ3hfNM0RpcrZbF93JjDlBwTnnx/UmMj7mU4UpgXZLMz9flrduLZ q8HUJbkgyNdouoypeY8fix3zxMK5wzTm7Gvzks+v1929sbXNkctwsntC8R5M0fGEgwlmgdZZ UtPYQtuofLFss/MNE4uKzJvRXinAbbWvJmIboBspp59dI4nA5OpErrUV0SuyeTXnGKPUzbKD I04srjAah4/EuIsH+WlZ2KxKSOgi1lYJS67/KT2H+AWUwwybbhbk/fJ3mTNimOe6gTP06Fgf POa3ZsK2JPiwviqabMDaq9w42MnmYpOaAPPRh25q86V9X12fJW+QEdtUNlPx62Y90HBLFk6T olRolDligg7KsDCvalAy2ns/89sNZPD0ATKuWJ3/ziRBIraJgjy+5DjbwMoBZw3pTEjiix5E 9LJytnKuJgg7fsKVqthJ8YtCw54zuG8Q5MOZlIQuAriUxh3X/1Q7fJPwRPZijP8qf8KmF2MC FLQlgDkZ5KOZZoANP0BlITiRzUs+n23i5MGtbb60vxyhQwbJtGwDHZD5EyzZ2Heigqx4r9rN Tjh3nRMz+SQwMfqvGpREe6YtH4fhstZsQO6+WjUxmm0DnFgpYMy6hFiVg7zhAbUwQ+rZrJcg 50ghxyIj8CXgPjAwuEc2PT+QxV08yEvqIthWEUvK/+A1C8FkBJ3JT74s4DDDplX+hEsA9lgS xJwM8jB5nm0w+3ARP3cSm1M+n2viNMZz/WejzQGnwnPysAgKHgmbDTIVH4GZbPD/0WdAK4wU tYVGdtDGiQLVP9QniUiR8zDyFtpLz4vGs7YdC+9I28B9f2Mv8LffU5uOyAQ2TfRfCjC9/kuW MwY/ge+h25Fz9IBEOAH33+FxTIp7cXJc6hzFfXQC4F6Gh/+dW7i6tS5gD3stLhSWqP+BnIZY 4XxP+WsHfMhhSo6iP6HZlY+rrlIdPrG1/bLS+G3VxeeNmAJsJhcQBp+y9nW+1rbVgc1pn9+v zX0x5CjiustwkiUXTGlkaQcGbNsGsmyItJ0kC6z+Cfq5ClNPrMYl18YjOe006eDNVcU3jfKz bL5uOREOkKyULDlABXOjumtf212XFlyY76zFAn0fcvgIOcY+S7ny7vaz8RWsWKKgtdXkBLoc gbXT5eo2jzi1fZAvLUVVFxpF+6+riIKco2xtDyYqm3iiXhtdF0ybtOLYiL38GUuAcCInJClH RVtNQFAvVfQvqUtLW+Q7lK5rPgcc3l2O0vg5yH4zlMmFXz5AwlMLXNwFfS23y+JzV7Z5yqkV QR4u16VLiPjymGfKdJtXXOAFB1l2wLksstx/PRda24N71/W9XvoNbBnabxG0rJis4Zwk0q1c kZRBqi1JXVraanlHSnfYTi9y1Oq2odzY+F1diGP021DmKvh6kaNK6Gr8VgT5WsGW5/crNGqX Ud9UBBQBRUARUATOjsAhQT4tcDMFXmsLjc5uCpVfEVAEFAFFQBGQReCYIC+rg7amCCgCioAi oAgoAggCGuSVFoqAIqAIKAKKwEUR0CB/UcOqWoqAIqAIKAKKgAZ55YAioAgoAoqAInBRBP4A xqXHrhaBrYAAAAAASUVORK5CYII=</item> <item item-id="51">iVBORw0KGgoAAAANSUhEUgAAAhsAAAAYCAYAAABTLD86AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CPJJREFUeF7tXVGWrCgMdfYys4nawWzE395K9WacxdTspZ4gaIAAAaOCps9557zuUgz3JnAJ kfrrO/8M8iMIHIjAf7+/wz8/P8PfBz5DmuZF4DrO/h9+fz/Dz8+/vB16WGvC38MIn7vbFudI HCuxIT+CwGEITON3nA5rXRo+AgFOzua2Xu8PbmXsM87nH4FP621y4if8tc72Yl+LnHs2DX0g KVb2icDn+36L0uiLO07Opu/4en8jUkPD8nmPX0yLTO/0fX1heqa1wt+ZaLfxrHY5h3EsYqMN b7mnFZxq+54ItdcrRs6m8YUKCbfTEUHCaEd7IB9oESNuwt+BPHE23TLnwDYRG5ykS1sOArTB SkBrCQE2zrD0++f9fQ3DXCPmiZDYtbL/Vuwawl8xZN3f0DTnKuZNHIvY6N7VWu3AnNp7jV/Z RGmVH8wuLs6wbIVq24qM8PNwwMxvwfSE7Dm2Cn/n4NzSU1rnfItjERst+c2dbFGKNrNff6fu 3qIvTJxN4xAWBc/ZiwFkKsJrfHEBxckt0D2+E8Lf8Ri39oTmOd/iWMRGa85zF3u8yeUu3bp1 P9g4C7MSn/fLeSvF/x1LBaOi5dYE7Oyc8LcTwA5v74BzG8ciNjr0ry5MZguCLnp7DyM5OfPq MJJiI/J6pYiNQrcS/goBu8HlHXAuYuMGftZyF9TkAtPmLdsqti0IcHMGsxVxsRGvzVCDVPSM DiEtQED4e55T9MC5jWPJbDzPP0/psT+5nPJQecguBPg5A0IiUrMRO2fDih8RG3RKhT86Vne5 sgfOrY2NiI15UBroby7wqTlVvKJexUNex6v0Rm1b0N7zKutxjkDRH2f6r5Kr+G292In1QMUS UqBJwKg2rpL3rTwDTG1RW+p0SpNpeZ7YOJM/wvjXFX+0uFUr7WWMtv/8uYfWDiGkiJecybnJ YKbmPGbOGxIbCmjK4T8g1auAYngHH66qtAPufXtiHkRHcxxiMADrMwbogoropW1dBg5wEbHR FjWoNd5hQDViYxXXlHiMnbMRgYp/1dYBJyUm7uSvePxrnr+MSFCTKCbEdb/gHHS22CggfSfn 815pfI7CzGDgvBmxUVMEVjMoZunkFgPYqq3p1XwWocwFyyppnXPQvoJ3wjOr2r3W7Lu/Fzv3 9NLjSzVV6Z+HxKM2py5DsweVfu7l40/3mXv8u4S/RNx6r4hakawzZ3oCnr7v0R6R32r8M3N+ wBiMxWxYIKoGmnllP5ltAEWCQ8gahUvKx98q2FJTZvVuVOSagVgVEij6wt4RtipzsqcNhgNO 0eBGaG8NNkpmg9Re7Kz6zNkBBiPKIjG2Ul1Tg05fcM6WAUYpevA5fLjlUPEN2nPSkPp6mI41 WSdwchy0dT0rf/6c9LUpV/ilGijtd3NQ7TSd3LbRAGYkn/EYzd6T49ROIBi/CF92wvGdL2sH f2GpRYIqNtgw15DZbdDn8Fc0/hWosSv4w+PWPfhKc2zGs4Vvk9WY5xz7PT1V8Z+NlXZiVo/Z pAG4gPCIwPTExgaCVXrqWOHt/zb97yqrZdLBP9MLpfXLlLzTAw25oWgAZDjO4G4/0MUGrT0N J0nlUdrzsPS4ogWgNxnA/cWYEnFWJnAPMMYZdHwoEE3gxdqDAjH6TA1o9ku48m58jV/m7Ypd 4dYefaZpDmmKz/jt5e7JceoJDBujWjyCUzyDlLLPWc6OxW56PJYgSz3Uiwtz47Ngq/Mp/NHH v9b5i9gHtg6CDI5ZzOgvCwRio6Sny7W5WGkpZtNzVHnf7R1YzGKHesGJI/l/sLfl73VB4uCK EGQ17MpbzZnonmywfxYWzxQNboT2iiZGUnt2hRTWaBy1Dx1t17cX/p74LGvnmvWwffR5clcT 1Q58gV9W26o165L1cwobiT7jPDd1D5XT1HVmcHS1K8IZwfaieCSDO9uyprXTN7Fh/lD+isa/ xvlDzYMZC+91avh6derNKFK3O4rZdZHAWkeIxez2t+1tFMqg7qyM9JIGKaxZtj2cr4h2VsAb bXSx4RaQFg1uqAO47U1jQeEmob1N6daKjfLMRhSTFGcZsYEX4RpVrGcpuKoMRSHLFwRd4Jek gSV5kV05GP7JPgMaTd1D5bRYbCix5BVrE2wvikcyuDOGRfuJDJivtjG01RF/ReNfF/x5Rq5i w1t5OxzRxW0Ugo44T81RZIqDC7GY3f5WJjZsqsgOAjCTYR+MVvwuk+e62jMVteggZbIgTqGh V0tRNLhl2lNtrc+ar7Vvk6QdyiuExGo9IsV2tG2UCrqRiWXpCxQHeum21V9QV8iLDNbYuNin xYZ6VtF8gXWbIjaY/bICfXPLXGRmN3011HBLiuAz8MFJvyVyWiE2As6445EKLtl3GDGf/ehp /BWPf03zFzFuFRsqbtxtRFu7wTIudxSzGqnKgvCoC2AxC/5mxMa2kh4n+H9QMGVnDQPosh2C ZQQi6XN4H2zLn6id9pFnwKLFYCbzBmEzSS5fax2+Ux2+b+2/glvWnlNchs6yJxaIQm5QzmD2 RPEIfrecQKxtewE/WyHdiuem3nYWIV3kl6QBFfENuG8LX8/O+bQvljJ+q83LcTp/4+64niGD 8xvypRt2OcvZnoxHEpDoRU5mdL3iYMwfxl9+/OuNv5i92+raeZEB+PYyZLliM937srmhlZjN z1G8nMM4vvxQr0BRBqmo8s6HWzj0czywp7G1x60ky6E5/45dRVfnm1v6RHxS9Foh+jSbn5V2 wr8ecka0fe8jnfvnZ6YK5Q/DPNYJIgbCnwGwNf60NgcZbJTnuhoz4TzBuecHl4uNJc2fKDot GsXcit9NTdaKDcb24HZAUZ96v5hhL7RJCBDfqJ6sGP2MBSvAGXGiZXnsErCJwtCDMRf+GGhs kD/Tq+jBjX4NFAkFidkNpnRhqL2uAbFhBpg57Ts5acyCos2oc4DXkViqbmvbc1/PI/nyUy7C tmWQc1z6haPGZ2ruOQKhVuwo7Run3TVt1dxT2kfK9a3YQbEVXnOg3dh4s7uwTNl+oM1F8LVi R2h0I2KjCE25WBAQBAQBQUAQEAQ6QuAPRm+rWxXzjA0AAAAASUVORK5CYII=</item> <item item-id="52">iVBORw0KGgoAAAANSUhEUgAAAxEAAAAYCAYAAACFgHAzAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA C3lJREFUeF7tXdux66gS9eRyJwlnMIn4d6fik4wnGN9cPCCB1DQNNGwkIWu56tQpbwtoVr+b h/76mM8NHyAABIZF4N8/f25///zc/jcshdcm7Dj+/P/258/79vPzz7UZgNkDASAABIDADggI PscmEfgAASAwKAKvx+fxGpQ2kPX59OSP6ev+fMuopn7rOT74CQSAABAAAkAghwDzOTegBQSA wKgIvD/PJzKIUbnz+fTkz+vzuD9Nj+nP+/n4SDnG65lvNy5+oAwIAAEgAATOhgD1OUgizsY9 0HsdBFBlHpvXHfnzetzFBCEEIJFodKRjbMBBHRAAAkAACByOAPE5SCIO5wYIAAIyArrAEugd hUA3/khbld7Pz/12M+fVWHKRehZ73o4SA4wLBIAAELgWAtY/OZ+DJOJarMdsT4OA2Spzf3yw mWlUhvXij7S6YPv2yUP8e5y8lLdCjYoi6AICQAAIAIGzIbD6HCQRZ+Md6L0GAjbTL+yRvwYQ g86yE39ej1t8cN6sNtzIykL8DE8aaNIxKF4gCwgAASAABL4EgdXnIIn4EpZiGl+GAAskv2x2 559ON/7Eqwjv5z24pYl/l7ZRicnI+VHGDIAAEAACQGBABLzPQRIxIHNAEhCwV4fSajQQGQyB nvxh5xyySUTiqlckEYPJB8gBAkAACHwxAkgivpi5mNr5EbCBJJKIcfnYmz90dSGdRKTPPliD nnzHxLgwgjIgAASAABA4IQLe52Al4oTMA8nfjwAPJL9/xueaYX/+kAQhcSYi9Z4Ii1x/es7F D1ALBIAAEAAC+yHgfc7BSYRxnDf9DTS9q3/7wd1ppOnaR8198my8oJ3FXDjM2YlE8wpf1v/8 3byP3VTWzduXm8a+3u0zsqyTA7Q9t9P8ivcj0qSdULsutNqibLuFpwRTf4A79zbr0ycRkgzZ vzm74e3HZEPofWXXlL1VujXyW+djtZqTf+6M9lqDZQkdTR8b8oP7+dNdzKHBb2MeIFYqAbz8 PkASYQVGHxBPzjdyIur5fsGDPhjXYzZPurFdlxdYsWCogt8Rwybl1iecp2Q4wRxJxGAcZPrQ kkRU2bDUeyISsJx7JSKVDMyJxJI32CQrKEIMnkR0saEVehCNV+djK0YqPzqivf5qfgh+Hjww 4Y8pXAb3pOd0ArFSWbHXJw5PIloOArY47hpQhn+2y0qEZpbMeWuaSM+00psab5jqeysguXZC wBS9QIy8m6BQmd6CQrnPEWnqPXtBHxplcSsb1mJPe6PU3l9Khjju8/f17MfIstfJhqpBjcc7 XCYadUQ95aoHL8APyd+CB0ESUdSJ6pilk1xVj1sQ/h34Lh6stn+cqv204u8n93RVoKfbUuO/ mywvbke2sPjq8VJZM9Vk6Y51P87Lv6k13nJT5YAXptDtNC4l5XOa/kxpJi96cng8XmR5fVom dN9zS4Y5GqYhZ0ynf0E/Ei3m+SpB49sB3JxYH0t1dKGBtVvLgOu2JLqikJIPwsdFnjj9qfkv ssIPixbuw3ftml/e28wPQcYy/I31RcCcvBGSmouX0b+3/YP5/Zl5E91uumzFWEkTN3ux7BEZ z9iByHwWbYdCn5K6mtAHiT9FOuazC1scmC86RwdaN8wnVrnVYWq/FBhI7k+WodBBz+OFK7GH y56IQ0KfLe3cj1plrvETzl9MidTSLjEe9027+8SCvSaC0FOWVD4t5bdG4Ue3+AA8COIPMV67 YKzUQffiJIIG9ssyGA+OEgG5ZwxdPhMCOn8wMHakpF/X12wIwu0regcsJDFTgGgdkBTwhc5q DsDc2EHCwxTSBDrWlsufHA3ecfj50b2ABVqUW4KmOfhoOpo7TZJWjN+v1xygRucaUjSl5ENK WNhSIZWVYDyKcbz0qAuWuFEQkuM4oiXbpTT8aOSvqGcS5r/YV7yjLlcVA4OHw73Bs+zp7EA4 ZqlNSXaZTfB6v+iMxBv3t1Ti38WG1SCrDRR6Ye4x4bajxIuaOU2Zcnguork6wMfdGgcuMzk7 WbAjk06sidPqA/nWC2qzpGT1GJ+os9fgx1zH9DFK3/gAPJj1PxU/XjtWatW91efEB6uXaiwJ oqXKMw+eeTvPtMXRGmKdExD370ZV9tAo5oRAdE28P/o999s8UHCAeVVCZ4ineRgQc6VgoR/a b3IPcw3dSZ/Mgu/M3H3FOrwekmFfQ5MS5/z8wwOVNHbYau93F36QuRfpjPSFyzvZqlEbe/nn d9DlVtJmnznzOZA9hR2Ixsy10cpu1ibEtmgOcNkZHQXt+kJIDbKGlodboSo064Z5T/4laSYJ oJXljgdFN8eBF2K0chj5jTBBDOQn6DNOIqIrf5tpaPeJRTvoeA9+hBh38UcOW/BgTSLia7AR K7Xp3upzSBJBA2SSnZQCbl89nCK9MKvxlST7E72eUJ9EhEvXVQ64xmAGVcfYYE4VAuPAXmYp el7JmJeli4WxDA3JueRoiYKUhPflq0C5wH7qwleppJWRKVoItxEoE4Vo+xULssVtHcEKRTw/ nUGsX4nowg/N/JL6Egeq0puJJY4ntxNyndxAl2tCXflZJntiIF64TCDXRiu71UmEVQtGl4L2 KhumBnct0OiadMB8GahnX5z6eBWp77swetJesKE1/kh81hdWSOK6ZRLRySfq7PVS9XBbZhMF TLYqk5f1c/Ojiz+qTCLmx6+oE2Tr/OVipVbdW33OkkSEQqtPIpLtFtrcvn9SRRIVhAe+QuWp ygHXGO0gsHNBc1D1ckGpyxqmoE1TFauhwTz7mPZG0WSO0aJNIvh5jaRivEwytC4prUERD2gr aPpFgjHPf8Z6CRbY7Qq6pVldKBU8JfCqmh+Fudv+0voiVLsbbxPZU5cbkHZNErKnsAPRmNk2 StltSCKimz8UtFfZMC24ajnpiLmxU6LtUGCgnRYtQtEAp1i8KQ7Qk3alDa30BetV3kZ+U76m kERERZoaGjr5RJ29Bj8mkVX4j5b4ADyYDYJse11sF2zJl7djf2es1Kh7xOesKxHO+C8HfafD cqbavtzVbasDtMJLqwXsPm9m9CIhtmOJh75oP2yrAD30GnkRFihEdBK6ozkt6brZwiRUe5af 7SrE+uwcYNJPDQ1u6wGdEz3/EfDC4yBgTysHHBPax/3u5mb+9/yc8PdVB3aYfspdpAP2HB9O E8XZjzm3iQ+muwRJwpzSnroXXgoUeABTDCY4C8lB92p+0Lln+Cvq2fx8hLlmy1wGh110WYUx 1w3bKCF7ET78Wl+hr1Kbkj7l7JyzUzFvJrcUbmks0ZG1YSogxYeWw8VZe9QZ8578E2cVribS osIs19qrrjeWPZUNNWfnUn60KHvyqqpkTwMZjXxszlZzP9/LJ0pndcAPF9JmZKJnfAAeFA9W XyZW6qd71Ofs8LI5eb+umFioHYPscGVn2u6cW1oeRcNR47Zg1Nxmh2vLmmnbqmH28P5Wg6b6 1e+9l3pQyahytS3oS9lmE7Qof46gw4yZvaXL35yVm7yS7s34twljwk7PS7sp9ZibAYOP5Zdi OUZXgd4Q/Iy9Bj82xJ12DR6EpRVTHFWozk7M2XCYLfnOfM72SURyqd2dLSDV/aa3MU98CPfO bsiaTNdH0XDUuDujPAU6X/6yuVRFVnlodnOOqLfNcEoqZLQY0Ap9FdtsiQxJrHanI5fUbYx5 Ms8ML6WIH6ugqwvbKsYr8q+iry60z1sw+DkQ+zddIMR8bCeaVN0k7XUFhuCHCurkQ+CBAM2B OvE7bupbb8r32OdslkTIy/9ScGEDQ7q14YqBol4+rvkkOaNzTQAOnbVOl3uQ2GIHWtr0oJX3 MQodtXPrSXfPvmrn8dvnR6U93s5Ud7jctt/bp/aw1+DH7yQaPEjjd4RO/I6b+tb7832zJEI/ aTwJBIAAEAACQAAIAAEgAASAwJkQ+A9hIQYG27eb5QAAAABJRU5ErkJggg==</item> <item item-id="53">iVBORw0KGgoAAAANSUhEUgAAAvwAAAAYCAYAAACGEikyAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DCBJREFUeF7tXduBI6kO9eZyN4nOYBPxb6fiScYbjG8u3oICSggBAoSNXer5mW5XCXEkoYN4 +K/n9nPRH0VAERhG4N8/fy5///5e/jcsSQXMQOB99vn/5c+fx+X3958Z3VKZiyOgfre4gVQ9 ReArESDyjiH8+qMIKAKDCNyvz+t9UIa+Pg8BSftssn5uD1rX3GeS7c9DSSVLIyBpd/U7aeuo PEXguxFA48/lu3urvVMEXoHA43m7Kdt/BdJ9bUja5/68/tyeGbpv1Xvcrk9qPnC/ld/r65u+ tS4C6nfr2kY1UwTOgQDMO0r4z2Fz7eVMBCSreDP1PKtsQfvcrz8kmY+hzUwKBPU4qyk/qt+C 9la/+yjLq7KKwDoIgHFICf86ZlFNPhQBXjL+0M59gdpi9qG2VDxuz5/LZTsHhSYCuWd139cX eBSvC+p3PJz0KUVAEZiIgMlRLu8o4Z+Is4o+AwLbsv3P9akbela1tZR9qKq9ke2Jfvp5Svjq 24FWRVH1akVA/a4VMX1eEVAEZiBw5B0l/DPwVZnnQcDMnit7us8DxoI9FbLP/XpJD2VvVfwL qNinz2CCDycIC2KlKskhoH4nh6VKUgQUgQEEjryjhH8ARn1VEXgi0qeILIaAmH3S6vzj9hPd 1oN/p7Z0kBOHxSBTdQQQUL8TAFFFKAKKgAQCPu8o4ZdAU2WcFwGxxH5eCKf2XNI+aF9+kfBn rlBUwj/V2usIV79bxxaqiSJwcgSU8J/cAbT7MggY0ge3dchIVSlSCEjbB1bt84Q/v1ffDLzZ O/ylOq1y3o6A+t3bTaAKKAKKgEPA5x2t8KtLKAIDCGDSNyBKX52AgLx9AJnP7OHP3cNvuiev zwTQVOQwAvJ2Vr8bNooKUAROioAfj5Yg/Gb2Ua6SboPdhX8Tilx1xRx2MFfuEdfudTmO6Qdx +K9L1hteslcQlu4hP98tJLSvgcOZkkv7QyZfUSduh/rjpncsKL4XbAow9Yc0S9+G+vGEn/Ih OEb6sRKuYqjf8byckWtO4Xf9sX7gzJHB5RQcWTwLR/p93EUPEjhwZHDt0oq5HXwX5i/0OGm5 seWfB28Mf7M+xBtfFyL8d3u13SVL6I0DcL7sZncAm6gNQAL3XcNKnQVZOkgFv5ilw/0bX9mD NblvHEuxQcWfnDUqscbjwG5K+NcwSdACxVQP4W8aQ3L38Gdgka/8vhL/fHKJtioZYhoSFC8h vbIXU9oa9LvmXPPJfvfqvJe018YpIn+R0n3FPCnVN26ASdql2ubq/KUwTprxNOKeG2cOX+XO G1+XIfyP7evm79u/XOW755BbT5Kv+ot4gO4VHYF5SVV1sQeqM2TX0jJVbbGeA0HIbmRfwR3c lYrvDA1pmSvqJN17IqY6fXHKGLJ1t2c8k0apX17eh+KzCa5abQc39btmvMVzzUp+9+q8l7bX H4PCuneOTc3+xHpBuG/VNiXtUm1sf2Bp/lIaJ2Os7ldYUOWNr+ShXbh8ECrkHqSbq9psBN1u 6/C/b2N6+p6fTZmKsFMuVCSQsrf9K4vICjp1l7HX5+6/4TIlzU3JmiEvOAunwh+cCmDgWX34 DC2DR5/vyzfhYJ+b3d3dyoX5u69Acg7/FW36IHTcjRGWkfxykm0LB0ywKT6ICGadVCy697on O1A/NPPdVyHQSkTJJri/QF6KHWE38C12sKv3LU42xCxmzsXJUemVMcfVCSsaKt4GV48PN26g sOo7cNwAq3rQ77K2LMQUdrSqHm6lsNtB8wmISzbEMLcu6FY9R+1nhoaMX0eE38W3H5/U75w/ MPyuKdcweY7Prxx3lvSVVFZm/IR8wvMLM3i2jNtu3I/zVKY9nMfflrMreRLY95R28bzQ5/SE R72Jv0yyS3Gc9FV+gk9wxteU8ENyHSoMGNAMiY1IQEzw4SCTHGaDyhOzr5S4g/Zdm3sgxFtI +ISfJ8/NSBi3axATHUtODXnBS0p4VQMGv19yPOQdA5kj15wqUM2mHrego00N0RaqCMvIRpS+ RyTwiA0akANZL2zJivoNMcSzYD/ZLNnEJxXvP0AeiZ3HB04yB84t1Oxjg0c45hpIwv5ovKfy cb9vE5mGuAnt1d6p2Q/GECgkJL6LCwDYPjU9doX5Y0gLoNwEL4W5pP3K/YwmriJbKqUwqNl7 Lb/j55pP9Ds8fub4BTfWj6LAEa/lPFvkFEk+nJ+zeXlSKhZy48GKdnG5OeGWlXz+Uv4iaZda PDuuxCk6J6KOvJMe2g3VU0jcM9U2KBi/55NmUHADB5UYkiQBK9vu/aSKnUwMMHFuTNYMeZb0 cIEmq+AOv+gzpDeolkeHNCDBzf2/5itNNo1JSZbw5/R1uszaq5yVy8bdk/zdJlU9E7+mJmqD Zxaa7AOM3RFzNVehPvdxGsUiK26QtNI7XPuVniO3BoIlT68OQ/dphP/qVn4qhhDD3EzZ3MGv YfsVdJ5x3aiY3h/kd025hh3MWwys4nc4Rrlxv8/CwaFLZp5C7ZHjPVsH+ZxdzT/OxmKxkBsP VrSL9++m/Mj0CyH+ImmXajh3bwE74h8QfjdzClVFLuHPvGe1P6on6VV18ODB3lWbZAGxZgUn mtEFOZz1y2QQMX+IK9z2L9GeqYpZhgYPgjgOEf5Om0bBAHSCfausMPAGsvYKf5aIRZVelBwK NskTu5xfpxNM6htVS8T5OFTeaR9fYcexWo256pBSonTu0HZmXCDiJhFGEi83Gebar5nwm/hF h/5Lejil5xD+tOhRtoivZg1gHhqQlJVqPYPw760I6P1BfteUa9jhvJDfiRFLP8b7LZyZPDWd 8I/lbF6eDMx3fAzOjQcr2iWX54o5gOkXIvxlhl1KKXjbLcLltZGYI/4D4Y8THFiqqICbfS9g 4faDowo5fVd1TKbIpOvIaOh3coK5p8IPtgEgeUaH0NbW9jWcjs4Yppfwu8kR3Lu/n3kDt940 Vvj7bFpYzUgqLPFZA+iLvKVKdsY6HiTw3W0CybOdpaX7ze2meo8pteqyf2bk5f06JfymrZ44 7LMP9u94WXHnSHTMdaBtcT1uBADkmRGHSXvFd5j26yD8iX0Yuk8h/Gw/EcRc0n7FXCT9hWKC GHyI3zXnGm5Ar+R3YsSSm6e4nKJ2ZuiYfB5j/V6wGsnZvDwpGAu58WBBu/TlR65fZGznYur1 dmEEc2+FH8T/UeEnljguPxuRCffQm5ksrMjiw7jHfaH4+soYPELGzsLAnffucKDRiTxgA9rC V0DCA50JC0OkIpA/Wl665QhfD4rl4b6B3yGWrk9BPnFod5/JHe9f7/D/1PWjnL4ZXAs2Dfe6 Qjz8HbAV20dYV/Yq4wTM8PV4wgoPFePKDq74lGzitldEh5Trfp3YzdipdDI317+XxRwXYMKH 4H59uDc70R1Xujj+iN4hV5YyMWTjHn622zK1jRtboH1quhfHEC6W6XPhcFXszHvVLoofX9V2 vkyND/a8CwNzSfuRXUfjds/MF0/W91mrq2YKYFCz9wJ+V881X+J3UYxuFxrk+IVEnqLybMIp 3pmzqTw5eQzOxdVydjH057iYxW9zfh9/mW2XcnxHh7Ybx1iYd17wxVv8/YNUl5OZVrI82z4Q RolXWl67OqJv0KSipYntSOY2uYh+DEYtTtY7E21Rc7Vnt1ujaos/r1N5MOb8TSwlhZlxIx1r 3RhC+zB1726LenFrs3hb0yzMi5PN+vebjI8nfBRZbTFtp37ncF/N7/juUHmyP0/xqrdiiuYF FfLktFiY3q1326W//QDNN9kFxf98ws9eTsx5oplZMQ4Nsxw5vpHBvsJMILR4Qh5LjxkPyehC 7SmMlpprqsNtR7Vnv+rzMZItCkV3zDX4UDVupGNtFCFgn6ruo23h90u+MRnzbsLfoNcwXA1t VW2nfneYY0G/G/aVXcBYnkKcQkinJjHZPDk5FpqUbH/43XYZa9/zQeoSjk+0Sxr/0wg/vbTe 7kAuvLelP2MEuMw7eDOKFSwtr7d/K72HlujRzUllTYn95Ct17ct1kY25Elg9cdPzzgyDraJH a98k9ZaU1dqPked79O55Z0TH3Lur6NHat1X1HslTdsrgOEUrHhLPS+RJtQttiRG/+Ga77GhN I/wSYaEyFAFFQBFQBBQBRUARUAQUAUVgDIH/ANAUgFLCt/COAAAAAElFTkSuQmCC</item> <item item-id="54">iVBORw0KGgoAAAANSUhEUgAAAiIAAAAdCAYAAACXBwd7AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA CepJREFUeF7tXc158ygQ9vay24Q72Eb85JYGUkIOThW55+DvlB5yzeO9pIN04BUIxAADDGhk S2hyyZfPCA3vvPPDMJL/ug0/B/kRBHaIwJ+3t8M/z8+Hv3e49j0u+XH6/u/w9nY9PD//u0fY d71m4RymfsQeVCIiP4LA7hC4nG6ny+5Wvd8Fc+p7mOt4vuJYpj7jvP9+tbitlXPqvDfOBdgc tqVZkVYQ4EDgejufJQvhQHIbc3Dq+3I7Hc+3RBqi4bieTzcsT7mc89dtA0uRkoaAcK6EE7QH SURKaMnn/SHAuVPpD53+VsSo78vpiCYZPmiJZIVRjv6U1NmKGHXdLecARpKIdMZ/WU4ZAZph l+eREdtAgE3fWHn8er4dD4ehzy5IUFJj5TxwG6SZKaVwjgCgsh1jD5KIEPCSIT0hMJRMj6eb HMz0pNPcWrj0jVU51Nw2AYk/j4NR+VhnL1rpe53COZp+nT1IIkJDTEb1goDKwgtn/L0sVdYx IMCk78vpEDc3D1WPA6hwxGPCxAMmLqKdbhEQzhFV6+xBEhEiZDKsEwSC4NHJqmQZKQTY9B1X M67no/f0TPg3Vp5HExrRXl8ICOfI+rT2IIkIGTIZ2AUCbE6iCzT6XwSnvoO+j2wiknjcUhKR /il3E86RlSyJCBkqGdgTAip4wHJ6T2uTtcQIcOsbVjnSiUi6F0Q53uQ7SESBXSAgnKOr0dqD VETomG1+5O/v7+bXMHcBYfCYO59cv24E+PUNkoxEj0jqPSIKKX551o3/HqXj1/G2OZeLOxar jhKRQVkH+tMQfFmrarhRj+8hj/CxWKFaF9Io1zC3ktH/2V8XP6530ETIWVZt0BH1Er2OEuf0 o6X2qY7trdFh0W4DrXaevW7iCMDUNijm3oC5q0SkXWdUG1h2XLv89ZwjxJANcy6OO05z8xMR 6gtbqONmsUqRhvKiofEmkxNneKYf7n5Umemw4icyUELoYEVP4Gap6VEXAw4+LBGh2gFl3KCz k3l1Z9rpjY7Uvd9iy4lIBXEC/OqDQqV/SL1HJCEy/265AhsZugwCMzlXHUM2xrkFE5ExgyvH ceq4efxoaQBrcVBFKVce1BUh0DLZRqoARfzRAQEH0bWC5/4LO1oWGZKTNNhLTt6oImISzkXW 2IYM71UIfo3cXsQ/DItt8VW8GMlsvAjwcc7sktk3ho/mXDLuAHtwtXrrtIbvSVAXjkmG3VWF Oyt7FDH8NtmIrgboHZj9P1hucuP0c/1mHEvTFvbMtl3Lxd0rTJqqHA1hvolExIpIDq/TZcRd 4+MFE7BbUxgS7vXz86N18vLyon9/fHzo35+fn8AeC+83MDorJ54JE1fBwHLDkxnjly5ZmSMF 8Dm8eWI+EgfB2/ygtNP3Hgyfk76GZhX2gn2fRWB3oFJYvUYDkDsGApyj2gQEuXhNiQ85bmT8 TWz8I7+4/ENFZKMGBTbMNWT2GG+m/kzgSPl5Tr/FJvOGOFcbQ6i0ewTnaHHHJeYmEcEcvp/p jU7elvCD8zOYDHhVgfCcLXgTYcVxSgr0OKEAazFBbyS1f/xAT0Ro82n5qDvNLF7qiMkGmLC8 7vfBXIeEJfflW0okm3zYf6vfqiqi/v/7+3uClUbWMMjFCWmkpyQfUvyCwcjt4KcjhtR8ZA5y 9MWswV6cDDCh13ZqA69O2OhHlriNYZyrsAnHMHNU5IKhb5clPqh1FLhhNk5+3hHqmyY73T9Q w4EaR32hGRfmdjPpfN/oM2gYoLZsNxKRHXL6La71l9a5Ls5VxRAy7R7BOWrcwV5oFuy8w524 /3eikWfaqWYSFrszNr+t06hvvhs1gZ65hmtBHFSVoyHMp6tHhAqFx58IL7jjMyODe9tdP6Wa 9PX1pRMO+xP++/X1dfpsqbPr5Lw5vmU+K8pZ4qAOBgw9MQ+2F6s4P5gHvVIRb8neK6DpmHB6 nCPZRHC/3DVUPmRxx/wSom+C7FX+gQzrIMuJ9g28qJ0T5MZE4ZzLBsuxKgLsqGAPNX5Lp0+m wr4nzjXFkCL37s85etxxssVHM3aLHe6mPKKFBm8yT51VwGwWqZxgjZHD3PXNd7WJiL8zrHI0 qAPw57ucaoJbCi8Fn3oFOXD6aDCxmX7+nqriwZuI1FdEkjjn+FVIRPD3gBA5qJ3c3CoBkjDe 0178NME9LaZxA71bTInIeLuAcwSbiHxk7hoqH6oTEUTfBNmr/EMxGNgBA4ZV55sMmE+yccx1 H7/l4GSQeUOcq4shVNLdn3P0uONkSyci1vHAMu+04/cTDN9oM4mI3o2CIIs9IUBuvnOJSBSY QoesnFxQrahyNIX51FyTfwFJVYoqSbzUffREwWOBU3n9cjubpyXGXUM5oKpE5P39XYtik5L2 oxkq+cE4JHCMSSd0anoxTkfU3bG6jcGbzsHxXlXxAFt2YnfqHYvcyV4c/02i6JXPyxzJazXB OYKN4YkISJQ8uyTyoSERifRNkL3KP1DNgsw7RswHO0N9BgGDcFn381t8MtuexMneV8q52hhC pRzd1zFibmJNMe4AezCJCNzphuU22wfg776nxkClYUPqqYkJNFJ640zgsM2q8c62rvlOK0Pd OzwSieQJKgew2TGKSIFDDGUOSpJegyT6XgfKfOrcfAiO6n0kHp7Dd1nYd5ToNYIzz6kpGOy2 ov8b+0Genp6mZlVFjoc2q0bl3JBfIRfB31bPUH92vhoOqkSP1JGaTCXBu2Puby9eIx/aiGkw Hb4ZdrQ1arUO4WqKcyUbCxPNgh1Ntjwd3VqZof6NjUxrirkR+ZtxYl/fJdmz/oEcAqKBU7Ow 98nCmC+qv6X8VsLPlfS2Uc6VY8jWOEeLO9AeVvRCM0e+2ua7qNGSoSTtOQ3u+dp5VbwSd3bj ZcnnuRsfcSwKs+YBwxEYKC6tWdK7y5bj0CQM0Sa47agZDKhvouzN98IuHO6Zy30XwzyZS8OX 3aVXSpKLASjSfYh6E84ZhayEc6n3V0F7WFEiMoLX1nzH2aTnd1K7nVpriRuZj8Fw4ynK99nt C81QvOlNXIuoa5WTljlET0S47WguYEDfxIA2947u+hzXFsa8ORGpkGsWUBX3KepNOLdGzsVx J7aH1SUiXrNreI6ZJaLtjodlPWpJOmdJ3PPNstpZF9szOzcJ7OeZNXV/F2NHPdOxQWtS2gtM LTbRcs0SeK1Fjtq1ccrNOVftOlrHt8jcck2rfD3GEB784rgTY7W+RMQ7Jlii+W4JosmcgoAg IAgIAoKAINCCwCoSkeWa71ogkWsEAUFAEBAEBAFB4F4IrCIRuddi5T6CgCAgCAgCgoAgsC4E JBFZlz5EGkFAEBAEBAFBYFcISCKyK3XLYgUBQUAQEAQEgXUhIInIuvQh0ggCgoAgIAgIArtC 4H/SMEcSywBBKQAAAABJRU5ErkJggg==</item> <item item-id="55">iVBORw0KGgoAAAANSUhEUgAAAawAAAAYCAYAAACm5Ml7AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA B5VJREFUeF7tXb159CgQ1lfIZXdNbAfXyD7O3ICDK8DBugrnDvRF7sGpn/0Sd+AOdCABGmCA gQVLYseJvRZih/edX36kX5P4GfiHERAI/H55Gf55fBz+ZjQOh8B23P0ZXl6uw+Pjv4fDbE8C M38YG4huyYDFP4zANJ6n88g4HBKBmtyJvk6XKw5D6FrN7z8kATcKXRO/3vhzsBluhJpv7wKB 63S5cLQ6JpU1uRun8+kyBcLVDM/1cp6weDZe4vcdE9ufkJr5S6EMdYsDVgqte7heM8O7B7z2 NMaK3I3nExqM7OEGglpFOfYEb3NZKuLWLX8AIw5YzTVy/19AU/T9j+MeJazGHTaVdL1Mp2EQ a9xOIAu15TnlbBVk/giQST1UusUBi4BX303ElMTpPPGE4BFZrsUdVjXJvnWg8q/7jjY9nXhE hNvKzPzR8F11iwMWDbF+W8nsJbFu0e/gDz6yStyN58HfcCOqqAFUTH4bN0DBAHdwXH9KfOaP iPSqWxywiJB128xxTN2Os8eBVePOr46ul5O1W9D9jE1loYGvR9xrjYn5IyOpdYsDFhmyThtW M5pO8dnzsGpy56xLRQNWYOs0B6xMZWH+yIBxwCJD1XdD6Zjg1E/fo+1rdLW5g1VTOGCF16qk Uwme4eoL+iqjYf7oMGrduusK6/v7m45Ypy1dx9TpMLscVn3uQDAKrGGFzmFJgOvL0yVtZlD1 8To2fzF/rLHaYcASoA/0XWu3ZCniYSCORdzfTiccP7CAXnPaopn/OZq8EAip78imBwJWpbof vc/wDTDVmwNiT1G424DF/BFUldTE98frbbcHLOqBN2q7WTZJPuXw4jKQ2fDkOZHC8x8oQPPZ E3rAJDGxt0aAk80CFlUvSO2OHLAylMPBoiRgZdlM6BxWQOT6FUMGNkdoyvxFWWoYsKSDoGSF 1HbLOEoWbUuMVqMmAULL0ENUFaUW6nCCjhWcD0lk1WVSUPUip51KMprIWzbKunchWBTq6S02 ExtTif3WxWjPvTF/KXaC/hjEhnVObM6mRHUjnhUmb1yKlqXcnasYU/kswC//W6sbqaz2//B2 oixSp+edBVrsTIKWaVzvcYupXOP7+vqa5Xx6epp/v729zb/f398BnokzJWoMhYWdjMwrVtYZ KAzvuZRcuLmC6/DLA/2ROAGnyKFCmed3ieukxwxurD/Z8qrBmopD6rLmgqB3nvEl70lxG+M5 Yku+QSy6UtFmUo5GX6cGrGqYw1kW5o9KU7DdFvzR/PFazKiAhTlCOyNYnJ+eKnPmbWGwsabU 3Pld5/Q8mP7zAw+QSTmSRdHt6brcgKWDlGRNl6CyypJ/f35+GjJp5DmOxAT3yDRlEJ8Q3tDR rVWESSBC/ZE5qbFut73+lFmrvV56HUfx4Fea3tnfl7onxa2TjGgdnxMR8LQJb63L5S4lxyJ1 rs3QsKUeHK6FuU6oV3/A/NGYwlttwd/ig2XREPfH2MFhk8Wb1FNl9djnwEKjyfQjgQ06dWCA 6Py3K5NyJjCpzDG+j48PE6QgQPrv5+dnw2Wr+fhgvzH8I9eScqY4ES66yqOZNtafUlPVVai1 HZugd8EKyzzqHNgIldsohpjNIdwRZM+xGTquQpYz7Ynt1TAXwlXrK4Yb82epQS3M6f541S1/ SlAbnJXdwekKndnANSyV2c2RBGZQSCUW2NBAD1j2powc45MVFFzYc//OD1j5FVZQ3hjeiYCF bzohcjIbPX2jS9CBuTL+sP7QHSvWUlcmKtFCnVcCo9g9VG6zAxbCHUH2HJuh4yowzJojr4D5 Oh+ili6YPzpfbsuf54/uj1fZwgFLT41oJZRGZ9Zb7EBkG0AkYM3ZPFi7Su1Wc9eKLBnKpjdk kHp9fU2UoGUbQEjKgjil8/yCIRhg5ijir6noZAL2EeiPzsnyXVm+BhtoIEM1wbSx/pCw9xqN Ys12ffuTCdwEvcMrLJDEIeNFsUhwuaxdYkmiksDljiB7k4BF1qGKmAubYf7KNN83BaoPqIi5 EILkj4FuqYAFKwWwRqSUf9lMYa8dmQV96emsdmrzhQpuVjuJEmxrz+35D2H1+nW2m8PNBp7H dQKAYkiuVz08PJhNFzJ4bbrpAuKK4u1yAz7rBALioPvL4UQmEqSdFSHj2IH+JO0W0we4PgjW HVN65yYXrl4j9mLbiNZjyKVwGGYzk7zu8+zZ0jxmh7uU7FGbSYIYbIC/wLEx5tamMOavnD2R s6Iv4GzN3zTv0k75492+wNHb6OBl7fmUxN6EGtz3X7hdOF+6Hd0hdpWF3oy+IylvFoX0Zlyi 3ll9Ee+5eQBYB5C7LeQQ3xnLd5phHsyf9K7aONrMn8JnJ/yFzsVC3TJTgsN/9lMftvksIzpY K7jJ+NJneO724DBqx/RF8yZOt3mnaX0wIiT1DukreU/LAQLuflyOmN40xrw4YDF/K3T74c/3 x75sc5SSwQkGqG0/X6fhr0EU+3C6ps2TJ/Ra1kqeveW2pYs5XN/YFKN3Ru9wo0IELtG7knta YLUXOXLHVlPukr5K7skdI6X9XuSgyArb1JHb98e+HCZg6cC1p9+5sHF7RoARYAQYgX4R+B9P 4Uv/Wfv4EwAAAABJRU5ErkJggg==</item> <item item-id="56">iVBORw0KGgoAAAANSUhEUgAAAZ4AAACGCAYAAADtjuxNAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA G31JREFUeF7tXe2V7Kiu7RfAzWNiqCxuEpXHZFDR1K+bSQfTD2ywBUh8Y2N791qz5nQXFtIW aCOgrP/7Uz8/+AECQAAIAAEgcBQCmnjwAwSSCHzfaoHy/vsyDdVY1YuXpAg0AAJA4CkIfP/e Kia8uYChk52nwAA76xH4vhWxSCNozZhBPPXw4kkgcFsEdOx4fX4D+0A8t3V5H8N+Py9x1WJ7 APH0wRpSgMAdEdAxxCefnXh+P3+vn9cfQ04Xw0KnePyW0J/aKBLTv6Ptr+5P2fD6/IVriAFu 0jpGMh0QzwDMN5F0HP/+fV5mbuotT8kn1WOq1I5MfUrFFrVv0aHl2SIlCxq3xKYDY0KBRbTp 9+1yiyGe1eifyxOPtsMjTzVRxdi5fXa0/Y39LQFGItfKkRE8pidnXh/IeBoxD8aoP45zAmXj mCoyIUefIoEVjVt0aHm2QlXpkZ6x6ZCY0GC71o8smG+V8ej9RJdk9ACTDri8zw5bLRrntfYX W/k2jI/tUaXfOzP9PZ14FBbcPnIPGMbLCMcoP47NIiBma+uYyjaWLEpOw75Fh5Zns0FKNBwQ m0bHhEbTadYjEs9yoGwOjdfU3q6o9N/NJFgGOvc7OVCyk+Gjb0XJtxwabfr78xhV/WEhHceG bWLGPqPEsD6fFdSWW1+mP2crjOJGsrEgSCTaBfiRVRsHnvFNxk4ZC/2v6i+TdyKXC1K2k8+p otu4ysC+x0qv2neC/oK8cE4J45DZSv1+zPaqsvcj3BRa5gDJ+EfO4Sx9mJGl9/uDeWL1/tp4 khcnWB009gq/r+lHz13bJ53H5+o/KjYlYkJzkG0UQBYpPPHQIE4nNhPM9gBFjbZbBcLEbNSf j7NqQAdRlu6b+lsR3p6qM2k5WyJKO8GPynVXNWsgoKRtiUhqF8cvXBmzyLgEbMlR/19kpfxt Nt0jn/Fk2GSxWAI1xcL+m9k6JSauAaXxXLLYd8wCjOovyZPmlHfuuNhUv1rYiWfKOeyev/5+ v2p5SPA0hLv6NW+b1x3xu6yFZEy82v9dI5P20FP/MbEpLyYMCMBZIvezqPhW27Zy2x22DIpt RaYE2UlCVqk2EC0fHZT+czcngssEji4R4pFsEcDl+2Zsp/1L/9Z9xD7zAm9WNpY1KLwJVhD8 WOLx/V5kL8lUhSzZWTlTMhX+LeHU7DvPX6I8C28wp9xxmHw+5kturk02h20W5vhDyP4LhuCO SrBQpgu9VuJREcXsBLXrH1v41sempvFTHCdKH9gXtALxmJXDtsVGHbavZJ3tGGnL47LEkz9I xVWqs5KPEEpuO8/PeYPMS+tzMh7ls9zzHTHjKbEpIKU87HtkPM2+Y4iHz1ikOVVPPMFWGrOw 2rfJZ5rDNjPhsn8NaDzTjYa7wcSz9t1D/xbikedHXkwoJYx+7e05D0s87mR008sVd3Oe4exF rwFuWwnYGxsHEk98q83PQFJbbYwtEv7M6n4N3DTYGNwsZmKQiLVzFRiWVhceGPNbbbm2+34R xlEU+zyiYkU0+y6yoDCkpMeCPKdC4umx1TbnHP7+fcjB4XbY7G/hm3Oaqq8MDCWenvpXEo85 uw7irBncw2JCJ+6xyYohHroqVpOY2Wrat9cM5wc3yOwENNsk6z4bOV/wVzfC+QXpewV3b/f+ EnlLADe/63/TPW0C0rYqfKtDWXvZwAR/9rPg4oR/FuIFVNsXPVCm+9MOljZASrjYLaZIu822 gZcLYtc8mQEo3mrLst33KTeOEqO+kCgDaU2+Y/Tn5EXm1D4O1ZwRxnF63h84h9PKhIuudcVq vrZBY4Tnb3pZaetHmHOBHjsGNFboULRtzWbv33F99tW/f2ya/HLB4ur1C+mVby5QBqpAXr4i SRzMLkTCHCw7k9EDV92EsYuoI9l+uxWTNQkHNBp5dbIX8Qww+wkijxnHtXO4zANZ8yRzVyRL Vpl6ydZZfc6i/8iYkEQqr0Eb8RQGJkel5KEzf7C8T0a6ElGTx7lb2rA3nIfblsVlL5yy5RY0 lM7TCkREmxb69/Tv8fSyexo5B4zjQh+XQ+Peaow+nwzcBbLKFRWeKOhzBv1Hx4ROuFYRj7Ml UKtIkniE/frtfr7+fomZmOq7JiEBlF0FrjXjvOeYM7feyhQGJRBPbwdoeWPGcZc53NVcZhek q/zRwmbQ/4CY0AnGKuLp0neMeKIHZ2b/1jDNMoGOemdZF8MvJOTff/7++TdfXxBPPlZoCQSe jMD//vufJbZUnvHUQucfqpcdLPvXt0uu/NZq/MjnkPE80u0wGgiMRuC8jGe0ZZDfjgCIpx1D SAACQCBAAMSDQSEjAOLB6AACQGAAAiCeAaDeRiSI5zauhCFAYCYEQDwzeWM2XUA8s3kE+gCB WyAA4rmFGwcZAeIZBGyZ2KwvL5aJROsJEbien/3vT2pQub+FYIN4JhyA06gE4jnfFYU+OF9h aFCFwAx+jr1ySvqM0zvDFhBP1Sh5yEMZA4gige/x9B4XeavH3r1C3tEIzOBn9eXTxPchpaKQ XKaWyt5APEePsSv1B+I511uF+J+rLHqvRmACP9Ny1LIdAjlVZD0gnurR8oAHCycEMp6+YyIv GPTtE9KOR+B0P3PbaNtb1L3KvlJb/51l+vnIiyxBPMePs+v0COI50Vdj3tF2okHomkXgbD9z WYxXHcDbgguJkpMR37oD8WA6RDJr7uWrcnNkPB0HU3U9no46QNR4BE72M1t6wyurELbxSYWr /xOvCQTiGT+0rtsDMp7zfHeBmirngXOjnk/3c5iZ+GWz/d+5rUGOwGL1pEA8NxrD3U0B8XSH NFvg6QEpW1M0bEFgBj975zZR4hGuVYN4WgYBnnURAPGcNiKWEs2nVhk8zfRHdTyLn2kWIxOP fG6jiedlS0AbD3J/s85FxvOoYV5oLIinELB+zf3J308yJM2EwDx+JqQinPFI3+PReHJ2xGwD 8cw0CmfTBcRzmkf4lTA5sM3aoiltP8LcXB1y243QsVXmWn20JkHtlvEky25n2LiNKeILe/kh 9lYDEE8GuGiSj0Av4imUk6/gzVoSnB5BPM64uDLxFIxDby70IR5bdtv7zk2BWkFT6Xs8gkxk PC1g41kXgULC4K9Tr9Vla1aDxe5IrMqK5R36gIcTm9GQ73xk2VrafoTBkg7+uJhB1xH2U5nM XMjKXDP06pHxZHQjNcHlggbw8KiHQDPx0BLnP+qwXH0vSG1JaIJ6f/1y5+b37ctqdhWn22es 5JaJ9/77tjhRBwGj34/zpTlBl22yk88pwwry9CTd+lna+zipvwnf/N7egaU+/1Bjpb4+HyV9 2Qtx2ydwWlbiPhbW3q/G2voxDXioM2OvEiPadpSuSftS42DF+bWMV39M8DZLfv6rHosWrISu n3Ws91oQgnjS8wAtchFoJh7dkbf/7XxhzvuSmQpo68UYd2W4BmqZVNYgmUFOMbsd4qI6S7rQ iW10W4KF0UOSR+0X+zS4JV7auJkTlZPrbNpO27bj/fv9Ko8Qe41eK+61ZF9/LuJa1EvXlH2p ceCRjcWFjgl/LiyGMDfFisciJbzY/BEWSDVDxHkGXyBthhACCAIjiEdPNUUk60rLTAS76rdL eH/bILKN4KzM7Qo98n//yqe1VryBE9Ml8lnyttK2orWB2w/E+a9SSfZVMahtVubgFfihhTxa nvWox2SQzbrG7MsdB9Gxy9kc+rl5LObqWjEu+EeUDW+TWe+rIeZv+9O41dYN/BsKGkQ8yzaC WjV/Vbq/bkmo1aL695b2O6tEfzUX4twj4xEPeWO6JIiH/x4OJVu6Wg+DUu7LI/scUHPj166Q DTmygbk20+xHPKvmHXSN2Zc7DoqJRy/EXAybx2Kurt1ClsI+2LPj/gbi6Qb5rQWNIh57pmEG 67K65s5U7GA2RLXswkk/rWc8TMB4L/t+lCiWdG3XtWRlqdpqeW5QiROP7itrD17UvXZ0ftVC YEd7C4xLP+RcIMcvogq9iKejrlH7MsdBBfEEfm4ei5m61g4P/zlunCbGLjKeXuDfUU5u4DO2 Sy8J3Q7TSRR1voxmgrIDoQkCq8zMc4Ssm14RR9EDXdonqws9LNb6+ZclDElt2340ayCXC/Tn hnRDnJRM5wZBhe7JcekFKSd7MHpavzk4cH7hZMkKcOMiru5gXVP2pcbBSy0U1A3OfcyGY4K3 mfFz01hUKKZ0zZ1TyfFDLoWQtigElwEcmggIdCIe4NuAwHbhokFGxqOpQLGIiJy10S6yZGXo JDXJkl+ja+YzDapHWNherBkifZxQhVmwNuL+5mmAjGecS64vGcQzgQ+5g9ueahV8zyoZmAtk VZlQIL9G1+QzVUpnPjTaz5lqFDUrv1RgxYN4ioB+WGMQz8McHjOXXMXtuE0zBuAaXWueGaP9 E6SCeJ7g5VobQTy1yOE5IAAEIgiAeDA8IvvOmbeqjARUIMVgAgJAIAcBEE8OSk9tg4znqZ6H 3UBgKAIgnqHwXlw4iOfiDoT6QGBOBEA8c/plDq1APHP4AVoAgZshAOK5mUO7mgPi6QonhAEB ILAiAOLBSJARAPFgdAABIDAAARDPAFBvIxLEcxtXwhAgMBMCIJ6ZvDGbLiCe2TwCfYDALRAA 8dzCjYOMAPEMAhZigcCzEQDxPNv/ceuHEE+v1+HDcWvJBunN3RGck+8kU8/mVj+FG4BABQIg ngrQHvNIL+LZ5Oyvic+qM/MYoDMMDXxhCujRIkUxf22f2XeSJQq4tdY3yjAJTZ6LAIjnub5P W96FePw3Cp+U8bTW6kmjNbBF+FbmvXy47Tb25mbvs2TGY2TqmjBYIQz063NFg3ie6/u05c3E Q4ulqQJZSxCzxMMUTrMBUZXB1u99W5qTglYvUhVT/DtnVY/VOy3MxVVLXQq+kSxiC+7krcc0 iAvytkJhWt4KwN9nKy5m/qZlOzoIbRZ9Yp8ZsCSMl75rS1unhxdaPBcBEM9zfZ+2vJl4dBd+ huNt9UQDNA18dGtJ+nto0lJqmhJC2mpOiCr5bM9SqD1uJrGShm7HvGJ/IRoTxB0iJPIooUht Fi5WNnE17rey1P52mucDJ+OJYxlmVjUA4hkg4CIA4sGIkBEYSDx73PQCb5A1uGWi/SzIvhGb 2xFaSccrMx353cmoCCpaDvuZv2VFf498JsqzfW7ZEEd2K/GE+sTIJfJZUO7ZZJpbMiTYjnkD BBoQAPE0gHf7R6cgHubWVsHWWY+Mh88wdDJHshg9GAqIhz87MZnKtiV5FPFIN+Mkkrv9yIeB gxEA8QwG+NLizyYec76xre6923Hh3wW0C4iKlcBkL+/lvIkShSEie/ZSmA1peS7B0avSbsaS 3mrzSNDf7gy22n72DMrzObbaLj2Dp1UexDOtayZQrAvx6MTAbHeplfx+eL6ed9DfX9shOlmB 060gup8m/V2CrfVWG70MQL8742xVWb3pgb7+G3ORgpPHbHv9GCKjGC6ZFfM9m73NZ7+QEDxP PrN2iFjicsEEs/CWKoB4bunWTkZ1Ip5O2kAMQeCQTATXqTHmBiEA4hkE7C3EgngmdiPzBdKe 2rZuT/bUBbJuhwCI53Yu7WgQiKcjmCNE6a0w+WJAfY+xV/HUS8WTQMAiAOLBWJARAPFgdAAB IDAAARDPAFBvIxLEcxtXwhAgMBMCIJ6ZvDGbLiCe2TwCfYDALRAA8dzCjYOMAPEMAhZigcCz EQDxPNv/cetBPBgdQAAIDEAAxDMA1NuIBPHcxpUwBAjMhACIZyZvzKYLiGc2j0AfIHALBEA8 t3DjICNAPIOAhVgg8GwEQDzP9j/OeOB/IAAEDkcAxHM45BfqEBnPhZwFVYHAdRAA8VzHV8dr 2o14hPLPx1t0gx5neZ2N0oN5Q/YNAIYJByAA4jkA5Mt20YV4yKv1/Ro1lwXmIMUD/Ae/GLTU LLxItBQxtDcIgHgwFGQEehDPmWTTWoPn1LGx1vChJYgOKYVQajNKJ5QihvYKARAPhsE44vEL m21RlGy9/awF4bZqntLvlsA+uty0G5BZA3qsxmmxNmdbidN/mU1/r0V/YWtRkLcXw1MF8xaM aCE58zeh+Nta2tsU2vOrn361PutnlMAkh9fJQrE4hJByBEA85Zg954khGY+7kl+Drnm1v1gu uuyMaA2gltAq3eUQFy09LelPycjYsxCN0UOSRwlF7HNdIa6kRH/c857fr651SvQwRLTikSqf UC9rykys0u147BgEQDzH4HzNXkYQj0guNGPYNoJNBsF8JiDqrNptJhD5/2tNt4IfLYf9rFJ/ UZ7tecuGLEFQsluJh9PHZkvOZ8H2pitLGoy1spK2XXP0Q+uBCIB4BoJ7edEjiIdmARogGiRL gnoE3B4ZD59hqE4r9Rfl2QxlyWZo1pFHPCsMNssRMsfl89wMsFwWiOfyM/1wA0A8h0N+oQ5H EI8TaE0g385PvJV5sFWVGzwtoaW2l6LstWdbhiDfS3ZkArPd9tI6+mcrNolKkKqW5xJSnHi4 rbYPydi+b7qtR851qI6iyd+/WlnYarvQnJ5EVRDPJI6YUo1m4qHnHiQQOpcOXHJwDtpfantp 2SZT/1c3vNZD9AIyab3VRi8D0H5Z/emFAK0j+d0SEyfPv4ChbTTtNyw0ybGXC1x8N2IKZPqY eeTpZE0GZ0usSVm4XDDl3J1cKRDP5A46Vb1m4jlV+9t1np1ZZF5h/34+ih4TPylZuE6dQhCf MwiAeDAsZARAPJONjsyzmhRZmGws54q1cwbno9HjyvpkCEOdYxAA8RyD8zV7AfFM6De9tRXb bmSudVdbEZM1y6t7qo3DgyciAOI5EfzpuwbxTO8iKAgErogAiOeKXjtKZxDPUUijHyDwKARA PI9yd6GxIJ5CwNAcCACBHARAPDkoPbUNiOepnofdQGAoAiCeofBeXDiI5+IOhPpAYE4EQDxz +mUOrUA8c/gBWgCBmyEA4rmZQ7uaA+LpCieEAQEgsCIA4sFIkBEA8WB0AAEgMAABEM8AUG8j EsRzG1fCECAwEwIgnpm8MZsuIJ7ZPAJ9gMAtEADx3MKNg4wA8ZQBm/Xusie9aiavAF0ZyDmt yyrW5khc2yi5Tgn0/CfR0kUAxIMRMf6Mp4TAStqO8F11/14BNVa3zJd8TmVXoTIbfntZiKyX kRZ2IzcnZRqSL0ut6DRrcVEh92GPgHge5vAicwuD8Fov58frYg1AecGnoG1rrR0WiIL+uecT QSm7rEGRk3IaN9qV08XSxu/nhIxnBNn49qMURPaIkBqCeJohvLGAZuKhxdEUKW3sQ996bKuK Sm0ZfDusOtfy2Kbo2bJ9wvfvFKaj7EmLujkVSNc3R2/y6WfsNg2HxSLAVEAVto1IgbYXqUIa ouXb9VZlsFe731+/WJ353asIu+KUqv7K4WeJhymKZ+37qAquiy7W5lU3x6ZcW/2iddHxZnG1 dnm/c/pt4KL4XWvUA/G0Injn55uJR4Pjr3rdVfEa2O1r/tMr5DWgp4JgyinuOcvvV9cLZXSl VT8p2TnER3Smf/9+/igfuCWurX4SFkw5AloGfCFJGjBTeHi4OtVMvSC66R3zk4Sv7z8hmP9y ZCrZVGhrkPFE7PDbpsiemH1e9poa29f4HMRzDT+do+UI4hEnO0dSrtlOlmKzlcj/Y5mAzWTc NgLxbdnNns2wso1tS5lub29R6x48E8Mi+ZktBW6zl9gQCe3aAyctg62C9EenHjTjMnKztrB4 4tmh8EmaEGZQYjvMgmyGGt22jY4vz64kxjKhs/48Z5ZeslcQzyXddpDSI4jHWbn7Ae6ojMfi 518IEFbsS6TbsyQ+e9lteb9VVuZtq7GBKoZFMijGisH544PBVfetdPyqra7PkoGoIKv+ve9O 6S0wnxgKM6sg200RD2NT6baqj1sTxiCeUZEGxDMK2TvIHUE8JhhtGYEJgOxWl4RhaTAK5HxV kF17XPIsRRTrr26AdgmGbM8xpPDWAoheOqOgGQ5PVjTbWBTZCSu6cl+3jzb5ST9xhG7OXQzT LBmgQ5YR3cSx3ZDxmDO20KZCW4PMLGaHpy8lqUSGh622tgAH4mnD795PJwOaaz5/q03HU7Mt ZJfTzraKu8oN2koIN91qo2co7raY0z+z/bMFZ3q5YDmjIgfo2k5ve24hJe5yAYsFPaj3ZDsX GTxcVxpdLw94+1Ecrr9LtmMAVnos5El/In7K6We/mLESO/192Y5ctkmJ/2l/VH/p74Gtrl83 ETnjTeuizs1e5iIFq9+GDS4XtAY+EE8rgnd+vhPx3BmiEtuOXCV/P/qm3vifo/qJWXK4DrhO 3TywQDzNEN5YAIins3PNWcpQRjjrOzudocoSd5StRJnmbd4sw27fCMRzexc3GAjiaQBPelQH y5KLAQNUgMhKBNxr+JVC8JhCAMSDYSAjAOLB6AACQGAAAiCeAaDeRiSI5zauhCFAYCYEQDwz eWM2XUA8s3kE+gCBWyAA4rmFGwcZAeIZBCzEAoFnIwDiebb/49aDeDA6gAAQGIAAiGcAqLcR CeK5jSthCBCYCQEQz0zemE2Xf//5++fffKWkNxfkS0BLIAAEnoDA//77nyW2+NW7nmA7bEwh gIwnhRA+BwJAoAIBZDwVoD3mERDPY1wNQ4HAkQiAeI5E+2p9gXiu5jHoCwQugQCI5xJuOklJ EM9JwKNbIHBvBEA89/Zvm3WFpQeaLxcUEl2bcerpkv5K2jYrBgFA4N4I2JIcuFxwbz/XWcfV aIlIaiOeo980XNJfSds6qPEUEHgSArb4IojnSV7PtlW9jTda4N4VxBKPreSoio7pzxdxpDDX WnGSFj7TRcxUCWZTkItWBt1KMfsyVe2Z11KmmRQCi+rt96eV0j+0kJitSiq1zQYRDYEAEHAQ 2N/QDuLB0GAQKHuFf0g8HBHQ6o20Po1Xhlgs/ezLpGRhyg3QEsaiX/0yzW5Ws1bLtOULuNLR GDBAAAjUIaDmk6mkC+KpQ/D2TznlkRPWRjMeUmJ5LS+8/7cmJ7nEYzMmm5Fk/M7qXdCfr9vt vQ4DgcBABMjZMYhnIM6XFl1wzpNPPFwhtAIiELMhg7T/eQ7x+FmSIwMZz6XHMJSfCgF7vqOV AvFM5ZqZlMnfbssiHnOes57t6ERHnedwGY+fZVBiGEE89nzHng3p/sx2QJCNzeQe6AIELoWA e24M4rmU8w5WVgfhjEsGIfHQg3mS5ZDLBVTueq6iLxesh/3b7/pvr5e6QKA/V/9/2W06LdPv g/y+EQePl98fvfSwn+9YfnR1O9gD6A4I3AIBmu0g47mFS8caYb/wFeul7Tr1WP0hHQgAgZMR YL4XiIznZJ9coXudIcQSHxDPFbwIHYHACQgIuyYgnhN8ccUu3WvGrgUgnit6FDoDgZEImK87 CCtWEM9I7CEbCAABIAAEAgT+H8ttysh0/OyuAAAAAElFTkSuQmCC</item> <item item-id="57">iVBORw0KGgoAAAANSUhEUgAAAVEAAABTCAYAAAAmyTT9AAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DQVJREFUeF7tXQ3SqyoM/e62uqCup6vpZrqYXlTQgOFXUJOeb+bNvN4qJCdwTMBy/n3N3x/+ gAAQAAJAoA2BiUTxJxsBE/npQSjbCVgPBIQigJknNHDUbJCogiDCBbEIgETFhm4zHCSqIIhw QSwCG4l+Xt/H3+P7+oj1pcLw9/f59/y+2Tum7/6+T+7LLEbm3sfrezaEINGK0BdfSsfI5/t6 2Lnxfn7/2MFhGs6Oj+LOMxcW2tOrO7adlA3LHJrH5fNVht1QW8PG+85xS6LO6V8g0cnXwE8z MWLz4rt+V4jRPJFiBD1mpIBED+K6i384RkpIq3B8HDR1ub3Eni4dJRqJ2UD+fZ4LE5kWPIBG mztwjv9cJvp+hlnmFPRI5jkPVvJdaaaRylYGDJbLSdT4+xBbwuzjz48R+2BM+Vo6Pg6Pgcnm AnsO95NqIGLDDoO72DpujkdJdBpIbnIu5QtJ0V2mtT5pbEDXz3/bpHKgvkwZFCuThwabND7Z 4pXbywTy/FwHQeo72ybnb5gpcL7Z+6LZbyUecRKlMSPZ9+ojLbvI+kXUL8awHpn39NBx5Z8X n0b7I+3tx3QkxsySzPtll2mMvy9+HWhXzo+cQ0X2sOF67LF24+HtMscY4fgN7mwg42Yp5Reg rrV1/BznSZSSDZ0kzOT/GHJckhCSxs+EO03ayCStJIlel39eZgDtmIuuj4QlWbB24j1lOX83 S/fZDMumPok7IiEDsMR3nkT9DGuZ0NPDjnkYzqTjSDbtF7VnxvPoOrpHwhTvRvtj7cXGtMXD DQt+jJREYZoCZF/hlnPI3wv4vN9m1pLxYB8eS1wbl6S6ZeM9bR07x9Pl/PpE3wCdAV6f1Ma4 bfTZ9Y8ts5u/YkG9hlwn2/dlZ4ooE9+FT90gy+b7KpyMlZexJBriHk5wSn6770h2Hqkelonm X5f6HCv3ozg12p/FfTem/Rhn709WuMzm7LA5VDlI7OUuO/bisZujiY2XXLfdSNRksLYaPm7r 2DkeIVFLcmsZT59KW4awZaGOLJmnF7tGYrOejoDnYjvnyt1JNP60LpuMQanRMxP1sksmS0qS aFkW0iMTjWZ+jfbHM8nYmG4n0V257o3nkXOoZLSnrnFJDF2Go5utzOZraZfd53QPW4+QaH6O syTqD0Q/rV4WOewaFrO+uD413G5YKqMoDUyn6/LlfJg558p5svYb7P6VlfN9HOPLeTqJbcxc vJIxWYh9F8eYqUfXRBlbnvP6UKP9kfbiY3pPotFXmHLhIn0PnUM5O6Lfv78vsgH4ftJkhqyD TvO79VW9biTa09ZGErUby7G54Oa4JVGaERnmZUrVEFSWJOh9Sy1P1vyYdqdrHOh044m0s0/l lxKSOuaVkczywnotXaciA23NKOZ32myJagcR+91uY21bRF+apeuKzIhm1pab54W5Mbqx5MXR PVGDmNAYeSTr3vOL7aJ4AB7bnacbQXQtrtV+rr3EmN5ibMdjE4GcNIeKB0rwEFqyn+39Tbru vsMmzL64tjhD/PbLN07H2zpyjjf+YskMGEM4TS+VcyWPt5ES29jg/31ZHHcDhBKFK0/80uSU DPHXXnEqntgyLjxljEwPr9Y5VAHjujOeuqcweyxqq8K28NKi9m9i61yN26dEG4mmXlzNgZgr 72MbNrF/t/15Az957YH1npxvcxKKl+1LYLr3NYPHyPzMf8Z/4NEFnNT7z0EHWWKqaKvJ9or2 L7d1P8erSNQre5rAcgZw7yzaBmMklCKnMPPLEhl5AbjVD/Y+Zv24a/t8Y5e/bH+Cj+d3MWaM dJlDXcGgJXjZhmLX7qsau4Ot+zleRaJV/sYuzmWi0cXc2IaHnzV8PlNxX7k50sWx6xoBiV6H PXoGAieTaLjwHG5y0GyU2djYbVxt75L5v65yGW/F5ojgsQASFRw8mC4egZNJVDxet3QAJHrL sMCoH0EAJKog0CBRBUGEC2IRAImKDd1mOEhUQRDhglgEQKJiQwcSVRA6uKAAAZCohiBCqE5B FOGCVARAolIjR+xGOa8giHBBLAIgUbGhQzmvIHRwQQECIFENQUQ5ryCKcEEqAiBRqZFDOT84 ctf8hHfvlLGj6VSpwfCg+RUBkKiCwRBdEx1+yIUC8CYXsmqfF/uZPQviYvt+vHuQqIIBUKKx NNRN9WqfQ9Era/zk4xXLjMJVEwIgUQXjYE+iocKhOXbNrps+3+S7uUy0n6lu1ipTQiUjIkD1 yJIEqH16mlKhQkClSmZbW5mDvhWMY6kugESlRi67JspIIqxEGUxIQwKbYusmE7EphPIg9dBY 8s9fpTbfSe3TXx89ppLZ3tY5h0UrmBAnuwASPRnwEd2lNJaoRMM2CakcgyErJ6SePaZws/7X 1D77KU+2q1iWiR+OGGFoM4UASFTB+Cgl0VnSwGSjb6Nn9frYc1jN/69Em1LYZHDqkYnKUvt0 Rzn2UMmsbwskes/JChK9Z1yqrComUbf+aVlzzq6812cSCpsxi46uiUbUOe+l9tlXebJVcRPl fNW0OO1ikOhpUI/rKPaKEydF8ZmzUGuLIbBFnpj8sQqbGduP7s7fXu2zp0pma1vYWBo3g461 DBI9ht8t7sZv5/uGoTjjy4qmLXZ1UbHEK059g9yxNZBoRzCvagok2hv5QrXPLIl2UrE8umTS Gx605yEAElUwIECiI4KYU/vsqTyZausuPz8dgbGONkGiCuIIElUQRLggFgGQqNjQbYaDRBUE ES6IRQAkKjZ0IFEFoYMLChAAiWoIIs4TVRBFuCAVAZCo1MgRu1HOKwgiXBCLAEhUbOhQzisI HVxQgABIVEMQUc4riCJckIoASFRq5FDOK4gcXNCAAEhUQRSxJqogiHBBLAIgUbGhw5qogtDB BQUIgEQ1BPHX10SLflsu/eeTUP2861QFid41MhV2dVH7vFoZtLn/4HBjFrfCA0UqMC++tNkv poeih0WxZbiwEwIg0U5AXtnMcbXPitOGjp4dygJV0T93f4Zcio+26x7Eg35x9uBIvO5ROtog SPQogje4P6/2+bZW0tOCnJJnqAzqrh2TCe2VLvn+1wOlp6UKXyjq6/xdT+UnJLq2TxU5vdP7 nV8cFua79Xg78j3tnxxa/QgPtPYgG6W4isOZbzDlPBNAoneLSIM9ZfIgMfXMqcNAGZTlz4ch rwIJ5aT9nNIl0/9EVJ4sMdU0sv9PbaaZ6KpcuhjCazg1KonO8ioOg5IlgjGKq9dl1g2D8wdu AYkqCHIRiSaVPNMk2kvZc6bLSdfJZJd+Fhfpf5UNWYgzKtRmfXs8gqw1dk8Ki+x3i/3uP5qk 7ofS3q8eiqsQrLvXpAWJ3iseTdYUkWhSyfOsTDQspZmscr6ECuZt2WtUGdQS3/NpsuWgdGcJ J4VFlkSdzSWhYnDtoLgKEi3B/rxrQKLnYT2spyIS9YhpTgkJ4eRJ1NbG38dfDYmELkdUM4Pl BJ8syRJATBmUlPNTpkezXJ54E6qmyYx9WQZY28/uvHO42rXSA4qrKOeHTaWmhkGiTbDd66Zi tc+EkienDMp6eWh3PqJ0Scr8eRPJs9OWzi7D3CmDkg2c6d5gCWBui9tYYrGgm0HTw4J89tZo rU1eLR8QswWvv+IqNpbuNfu+X5Do3SLSYA9+9pkG7czMrUjZsyHG6y14xekIekPuBYkOgfXc RkGiObxLdtJzbeS+H/BOaNglXrbPBeGS70Gil8Det1OQaAmeOfXOkjauvEb6z1avxG5s3yDR sfie0jpI9BSY0QkQYBEAiSoYGCBRBUGEC2IRAImKDd1mOEhUQRDhglgEQKJiQwcSVRA6uKAA AZCohiD++nmiCmIIF+QiABKVG7vVcpTzCoIIF8QiABIVGzqU8wpCBxcUIAAS1RBElPMKoggX pCIAEpUaOWI3ynkFQYQLYhEAiYoNHcp5BaGDCwoQAIlqCCLKeQVRhAtSEQCJSo1cz3I+ey5m Z5Bq+qu5trOZaA4IlCAAEi1B6ebXHFsTPeH0IQ+/mv5qrr15kGCeWgRAogpCy5KoO6H9ZU6w N+X+fH7wTqkypkhJxdimA4jt57DNlznweP4uooy5wzamLHpQhVRBDOGCXARAonJjt1q+J1GO 1GJKlYwiJVX1jEoIU+KzkiGhdhGLbSiZcUyFVEH44IJwBECiwgM4mZ/MRD/WQUZyY1G3KCVR l8kS2eSkHlEM2Ir+CqScFYQPLghHACQqPIB1JMqJzFWQWo40w+9LMtGDKqQKwgcXhCMAEhUe wGIStaJre6XKsLwOPlOSG0GiPVRIFcQQLshFACQqN3aJNdFQtZIp6YlSZahIuX6e3j99PMzm 0bK59DBywcvSQaCEGX7m1DUJzjsFzB4qpAriCBdkIgASlRk3z+pjrzgpAAAuAIELEQCJXgh+ r65Bor2QRDtAoB4BkGg9Zre7AyR6u5DAoB9CACT6Q8GGq0AACPRH4D9oe1D4toDjWgAAAABJ RU5ErkJggg==</item> <item item-id="58">iVBORw0KGgoAAAANSUhEUgAAAUQAAABTCAYAAADnTn5RAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DJ1JREFUeF7tXQuS4yoMzLtWDpTz5DS5zBwmD9vgCBB/EStLT9XWTsZGiBa0BTj0f2/zc8MP EAACQAAI3G4bIeLnegRMX9weTNc7Ag+AwMIIYAQqCT4IUUkg4MbSCIAQlYQfhKgkEHBjaQQ+ hPj3fN9v9/fz71fweL0ft8f7xbq7Xbu9H9zFYjtN2fvz/W0YQIgz+h3tI3/v593279fjfWM7 h/Gh2D+k/Kz0R6o61k6rD633T3XeGpcd65YQD6O3nyHEzd+AvE0nT/Xx93mtsp37oEiR7Zwg gxAHcY3iH/aRmsFc2T8GXT2K1/gjUlHGSKsPrfdP8n/iWP/JDPH1CLO/LVCJjHDveORabQaQ yyImxPlyQjTtvf/O9CCIQBx/vo/Yh1yurbX9Y7gPbD5X+DNcT85Aqw+t989wfu5YTxLi1qHc ID2mF+7puf3dBnLvPNzn22dwuQ72NNOU1DS2BbfNnjelPQDyfD07de6arfRsA/E5fIJz/tly yay0pU3m3jQhUtxJVny2kVynziTbxTgmkRFvDxC7U37z4tPpf8Je3C8TMWaWPV5PuxRi2vvk 11qiKfPMcVDlDxuue4y16w8vNyZTCYJvMOXD35OpY2OBGgyn+Tx/rPOESEmHDhaGBP4M0R2J BUmnd/LcBm9isDaSBb19D1TEQnQdIZz2BGsMXgbA+fypLc4yWGb0CdmRwvZ/A1vyhOg/DY/B uT2MmIfTTiCOMPPtivAcXSrxCJXi3el/yl6qX1o8HNx8H6nsdLR/qBwH/tr53+tlRh7pD/ZB cBBa77IPV0clfuxtkj7PHev5KfP5lP4AuwN9Pn2Nc59eaLPFT7a2XxKegmz1x1O7HOllrpEs yhGSn2RxdY10jHRZlhBD7MLBSoksukay5kRm7mUBlMgTv6em1HxMmNhX+p+05+CL+qUf42L5 7CyS2VxUNg5c1urFIxpnmc2Gii7M1lFRLnWLnM9zx3qCEO0T55wq0yfN56n/yQ5d52eeSBKE SBZR5Qkx/RStG1hBGi+ZIXpZX0AwRbKsyw4OUhx7uyCZkXX6n87wUv2ynxCjKbGHq7Jx4LGN ywrp8hWNI7Px2ExoQR3N5cMCEj6PEGJ5rLOE6HdIP93dm+iemMxa3vnUciQ2TIj+tKs8ZQ4z k9KUmawdBrtXdVPm4V6yG+CnzHRAWtwd5jlCtBtJUSxSro6uITK+PPZ1lE7/E/bS/TImxJbl Cg8WUreucXCmx+8n2fx6PSwJhstZ2xjtfn3sxdfR3dUT9rp87iTEwphwY90SIs1yDIsyU8kQ XJYsaLljvkzW14JpN7cAT8ofg7lhwdxtAj3MgrnbZLEd4swC6LVoYyhc86PrcExPYNZTu/tL khAdubvpr8MwxJV89gjTlqtZyxzdZaabIHTtyutLDf5z9jL98hNj0+/o2l9TUL47DsquBQ+U Ixuxr8gFsY2wCbMhzlZygsvXUXY4fghO8Jkdz0JjvfObKqbjGHLpe3k5tWCb2giI10K+krmt 9tpNVWf/nZu+0ke2B3b3OKjH8tzZzRWpnIlV2ap3LXlnVT1afCZjvY8Qcy9GVoCZXmDlNgK4 xWGJ9ZGMo6NTyAoMwlsufw+xw2fdRSb3kT1Ze6S/DCACTu6du6CCIrk02BryvaEeDT4HY72J EL1pyRBoNPWni8Lcomdqt4y8JDrsCzXArJmK2ueNgRBngDynj8iOA4l202l03WaaRK1jNjT4 HI/1JkIcA8CVTi3YHk+WeCNg7PUBGZ/nWwEhzscYNQCBEgKXEOLxvWlmwT/alDnc1/dELsHa fh2E2I4ZSgABaQQuIETpJvwb9kCI/0Yc0YrfRgCEqCR+IEQlgYAbSyMAQlQSfhCikkDAjaUR ACEqCT8IUUkg4MbSCIAQlYQfhKgkEHBjaQRAiErCD0JUEgi4sTQCIEQl4QchKgkE3FgaARCi kvCDEJUEAm4sjQAIUUn4QYgzAnHN1zDjlhg/uo/imoELbKYQACEq6RtJQpx+gIASAEbdKKru jVYwWP6CA0MGPV6yOAhRSdhrNFWmujp6HuJU50rG4xNWvnP8V8mv4PqXj5Rr9A63GwRAiEq6 QUyI4eG45qgp+/3vxys8ENZ+plo35/fFK+QBJLKXH1DdY5Xk3BFUjWp1fbYKhw4r6YsruwFC VBL9nITAeeC1dxJ0MLjMgP6oH34kKD9KfXxDJTRVDiExd+wUPZ1Ik+oedzAxOYKqSa2u35bK zFXJGNDgBghRQxS2VN1mdL47udPC6ZHwhnic0HBWa8W3vprqnpzy2+cEplbluzrhMiWdckE3 QIhKgl5LiLvAl8lmXrsetj0V2vx+ZpE5pTumrRIZ4m+p7rmsUEKtrt0WCFHJgEu4AUJUEp9q QnTCW5YB96zHe6Ujo3SXauvoGuJPqO7JKr/1Kt9hyqxkwIEQlQeCnTLzh+OGetiH5Cf5YZXu Cu0f3WVWr7onqVbXawubKrpHIXaZ1cQHL2bLhqI6EysKHR1+iajI4bUb2SBPsIYp8wRQe0yC EHtQy5WpVN0rEqKQitzosoQ0PLDHIgBCVNIxQIgzAlFS3ZNUfsvZ0vIVwhkY/1s2QYhK4glC VBIIuLE0AiBEJeEHISoJBNxYGgEQopLwgxCVBAJuLI0ACFFJ+EGISgIBN5ZGAISoJPwgRCWB gBtLIwBCVBJ+EKKSQMCNpREAISoJPwhRSSDgxtIIgBCVhB+EqCQQcGNpBECISsIPQlQSCLix NAIgRCXhByEqCQTcWBoBEKKS8C9PiFXf9f31r8BBfU/JcEu6AUJUEiER1b2rFfq66w8OWmVj UnlYw4x4dreLcaaK+Gc0AjZrEAAh1qD0hXvGVfcaTmUZPfuQxaOhfq58gSiqj/MSj9Vguzh/ cAyYeJSkDIIQpZActFNW3XvZGuipKk5RL1Toc/fOyVBixTm+fqdhsrft1DgwPnEKfYQQT/vu JHBPXIu2icPCXD+P9CLXaf3kAF1PEyWCa5byIQ6KHRwu04qDEKdB22a4TkIgpWK31RULUoUe SOinHPU4hT3DPa+XETVg6qckRrO/lEIf/fupIHi0gNds6VT02yUY3IOkZhoe4CqkfHhdxtvW L1e7G4SoJOJVhJhV1MsTopTC3k59m46Lyfr87CpR/5kNHiSaFFmybbvfg2wyVSaHRfHa4b/7 R5PHuDvMUT6E2JSSgRe4AUJUEpcqQswq6n0rQ3SAhRshYf1U7OqTVSYV+iyJPR73QDQrQaI5 LIqE+Mlwy+FncBVQPgQhlpG/4g4Q4hWoM3VWEaKdFp/rcXZgslPWVLuGdzkT6nXBlN0nPjLN Tin0Eb+2DJRmnzyJZtQFs5n0MdU+7Rd3kLkHjV1bHFA+xJRZycBDhqg0ELWqexlFvXMTIz8H 3Dc18psJOYwSinNkKr0TtuennZ66TZJIoY9sXmxlg2n2bsuTWrX+sVjQjZAtEySf6SaNmzJ7 WAUka6vhcB1TPsSmis5RCNU9NXFZ/sXsQiS+mVFVKeyN9By8djOC3tSymDJPhbfeOAixhFXN jnDJRun6hHcOwyqHlyxKbcD1EQRAiCPoCZYFIdaAWVLRq7Fx5T2//tXDK7H7Tt0gxO/gXKwF hFiECDcAgekIgBCnQ1xXAQixDifcBQRmIgBCnIlug20QYgNYuBUITEIAhDgJ2FazIMRWxHA/ EJBHAIQoj2mXRRBiF2woBAREEQAhisLZbwyE2I8dSgIBKQRAiFJIDtoBIQ4CiOJAQAABEKIA iBImQIgSKMIGEBhDAIQ4hp9YaRCiGJQwBAS6EQAhdkMnWxCEKIsnrAGBHgRAiD2oTSgDQpwA KkwCgUYEQIiNgM26fZgQi+f6CXveUl/LvcJuwhwQaEEAhNiC1sR7xwjxC6e0eG1vqa/l3okA wzQQqEAAhFgB0jduYQnRnfz8fOz6H/tZppFiXEoZjgopbQe02s+hzac5fHW/llCoixqfUvgb VAP8BsioAwgUEAAhKukiMSFyBJVSjGOU4RwBbu1LynJSErM6I6FWCYtPeKz+mBqgkhDADSDw BiEq6QTZDPEQTWGP5T9OwK8lREqO1KbLJpnrNYQ4oAaoBH64AQR2BECISjpCPSFyinEXE+Kg GqCSEMANIABC1NIHqgjRCibFinG8BOipn0QJK5vNdWaIEmqAWgIBP5ZGABmikvDHhBiqxzHT ZqIYFyrDnZ83dbn73WycHBsruxD8/nugSBd+5lTuCFaREp2EGqCSWMCNdREAISqJ/dhrN0oa ATeAwI8jAEJUEkAQopJAwI2lEQAhKgk/CFFJIODG0giAEJcOPxoPBIAAReB/3H9P7UYXG+wA AAAASUVORK5CYII=</item> <item item-id="59">iVBORw0KGgoAAAANSUhEUgAAAUwAAABTCAYAAAD0mT6lAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA DLdJREFUeF7tXQHa4ioMdK/lgTyPp/Ey/2FcaKEGCJAWqA2O3/fertsWwkwYAlTy720+N3yA ABAAAkCgjoAVTHz0IGAYtQOcHoNhKRCYCAH0PGVkQjCVEQZzp0IAgqmMTgimMsJg7lQIfATz 7/m+3+7v599U7TONeb0ft4f5P/ex127vB3exiod59v58nw0XBHOEf1If+Xs/764fvB7vG+sc xoaqf/SyU2hPr+rYcqQ2SO8bamxUeN8+7gRzLfQ2nWDadkWDgOkEuT7w3q4J8Vg6TU6MxzgF BLMR14T/2EcknV7oH42mro9L7OlSUaGQgg0Bnlew1cZI4/r41BHm6xFHj5bQTES5OCa5Jo0g SlHIAD/+umCa9t7VTkNS/nkfcYNgqa1S/2j2AWuzwJ7mekoF5GyI8byKreP6eFYwrSP5zrlO S/yoav/dEbg4Dff99ulU3rGeZnqTm/6OINvWG0yZV3KDNm1OX7rmjNvaStoWRwBcO9xz2ah2 Z9vzgkn5IVH11kZynRqTbRdjWI+I2g4wbqf/FvBz0P5Mean/ZjhmllVeT7fUYtr75Ndykin5 yP4isoel655i7f3h5ftuTlzCAlMbGDytSkiwG2br+D7OCyYVG9pJmM7/Z4RwDThIOL6Iq+20 mU66UySO3P73NM6SqBRdz4inVdFaRxBBcG37WJVGKaxyhoLtRcP+uUNNecEMR/q189pBjRnk FoHxglpuF23Fgmfrkk0guBTvg/bnysv5r8PDw837iNDbqH9csr+Ea/d/r5fpocQf3ECx8np0 WamwPiiEcb2tp61j+3h5Sr6N3h9AF4C3UdkY9/E+F21+orjlUnXq0gv0kCFrZzp1LIli4RqJ wrxghUEaV9cujxHfzApmjHHcmanQJddI1J2ZAaydKryv9D03Zec5YXxEaH+2PI9m4r8hx9Xn i7NUZpP0lP4idhWzlLdyFvCR9MeW/tfybBTBdrN1bB/PCKYbibapOB2BPtHAJ7r0Ts+MVJxg bouynxB6R5Al8pj+gpkfhWUdL5ou9Iwwg6gxEqCqmMqiix4RZjaiO2h/PkLM+e9xwUym3AGu g/uLyONzN/moki6j0Y3QeNNrT2X9BPMTacZLfHttbRHMeh9nBTN0xDBcXiNotw7FrBFuo5kX xUQw44Xi3qCv0Nen5HFkU5uSk5E62oWTTcn3OGL+Xn5KTjus48dzUxJMt9GVcJarvnUNk7Hl saznHLQ/U17ef1PB3LMcEsBC6h7bX476zev9JJtzr4cTnnhZzfblw6/H9eq7PW09KJiVvuD7 uBNMGv0YlWWmoDGorEjQ59b5OFm3s+rNLRT7BpJrhMDSYvrjFT/jvtvn6boS8bmtvIdZ0Peb QK4+9lqywRWvOdJ1QMa5mXXfo13APpfd9Ak48yNlAf9AUN10WxLmt+6S000aunZ21H6uvIL/ fjg2/pnxkTo/Z/WXuiVBZBbwR9evic8m2MRRVTR4VUwI8BSZy5Xf19aRffzgL32MwxjBOfbS djwqebDoCEj+HnRsMq3YRDUSLLP75wfWUyK/X3utSNQp9Nx0io/YQOFwf5Fjue1Qlx6p7ik4 Cfa73fLqd92pydZlRu0Go2OCWXoxtAobL5ifwZEJ85nF9I+j0xHLOGbwHkjL+ky1IW5DS7YG KChNdMvX38MUWanppsE+YqFo6i8SLNP3S7NPVQVzR1kS05J7dpT/dVvtJDn8ccouwdwffnOI 7hHMwmK6W3t5La81Oac3f09nleRl2kME5x5i1na7ls8XBsEcAfIYH+nTX3q2l059zx3o97fi CramfXyXYO5vdJtglhfT3TqSU8jFOQ8vXvdp2RmlQDDPQBl1AIFMwPINYOjI+9nUWdctP9/r m0/xa03rjuvcHwjm3PyidddG4AsR5rUBubp1EMyrMwT7ZkYAgqmMXQimMsJg7lQIQDCV0QnB VEYYzJ0KAQimMjohmMoIg7lTIQDBVEYnBFMZYTB3KgQgmMrohGAqIwzmToUABFMZnRBMZYTB 3KkQgGAqoxOCqYwwmDsVAhBMZXRCMEcQ9p2fuaYtMXb8wK/VRjB4VpkQzLOQ7lRPVjCHH/DQ qQHfLqaaNfLLBraeOfpl82evHoKpjGFJTp+hTWo9D3OocbXC05NyzjnerWZXdP3kIwN3WvfT t0MwldGfCmZ8KLM5scmlvygesLy0m54IE+Vv53DpEf0oyBoZ5DCKT67fmW3xWFmVQ6mV+exM 5kIwlbFZSlGxHW0XnCSeO2A5l6mRB6RHTp/wbEF6zN+VskaG65lt2RaPl3XJyFdZXxlhLgRz BKoDyxQJpo0dzXF3q4BmDlgu5voJG/BrWSN7Zls8WpYssd5AR0PRLAIQTGWOIRXM5Vh9M53M HrBcytTIYNIjwtSVNdIvV/TItri/LAjmNTsmBPOavGStEgumTziXPWA5SkYlyR7YuoapImtk 3wyGRzM3Ykp+zY4JwbwmLzsFkxy8THJ0VA9YZjM1VgBp3SW/fNbInhkMj5aFTZ+rdksI5lWZ ydiFF9f7EiaO5KoJuVa7umRDxGtFfUnuWBoEsyOYZxQFweyNsjBrZFUwO2VDbF326A0PygsQ gGAqcwgI5gjCalkje2YwLJV1lZ9ojsB4jjIhmMp4hGAqIwzmToUABFMZnRBMZYTB3KkQgGAq oxOCqYwwmDsVAhBMZXRCMJURBnOnQgCCqYxOCKYywmDuVAhAMJXRCcFURhjMnQoBCKYyOiGY ygiDuVMhAMFURicEUxlhMHcqBCCYyuiEYCojDOZOhQAEUxmdEExlhMHcqRCAYCqj8+cFU/Rb a+0/MUT2yKt2SwjmVZnJ2NUla+S3M0werj86iJfFSHiYxgjeD7eLMUY0MIxoBMosIQDBVOYf 7Vkjd5yq03r2JYvtjvq55ytCIj6urTvvje3i7MExb91Zai0QgtmK4MnP17NGLol8zIfLCBln mPT3jolw0oyJfP0+783SNnIA8pJmw2XAtOk2/qyZRDC38uk1//egSZnsmNuRbeQ6rZ8csHx/ LrVnPqMyd+Ig4ZO7V7U6CGYVomvdIEtRUcoISbM18m3rkb9nFWyXD8fq3Ou1Cp4TcjbDJY0e g0iS2Ez/3aS8pTrG5ww6mJFySfHhUw9LpvkRrp0yd34vYr6W31/FGgjmVZgQ2iESzGJGyLJg 9soQuUijyVxp7Q2js0z9WzS5imw2CZhr2/0eRaO5Z0pYVK+t9vv/aPCZ0pW2q0fmTiRDE3aM k26DYJ4EdK9qRIJZzAh5VoTpWxxv1MT102Rsn6g0m2HSidzjcV+yYtKJMisuJSyqgvmJkOv8 Mbh2yNwJwawjf+YdEMwz0e5Ql0gwg1zkS6hHxKUumIuZzbu0meyL0ZQ8FEYyjc9lmCR22QiO Rq+8yBayYxYj8XUqv5Vf3QHncHVrmw2ZOzEl79BpOhYBwewI5hlF5V4r2jZO/LyxkBEyuTdn eNMueSZjIpmqLxs8gZ1u+usjxyTDJNlcsc9G0/ilLG7Th8WCbtTYSJJ8DzaYnE3BfDwSYYcf h2tb5k5s+pzRp/bUAcHcg9YF7v35F9crHJwZkYkyRLb4DF4rakFvyLMQzCGwjisUglnDVrKj XSujdn3AO5dxlc1LIrU24PoRBCCYR1D74jMQTAn4tSyQkjK+eY/2n3Z+E7uxdUMwx+LbvXQI ZndIUSAQECMAwRRDdY0bIZjX4AFW/CYCEExlvEMwlREGc6dCAIKpjE4IpjLCYO5UCEAwldEJ wVRGGMydCgEIpjI6IZjKCIO5UyEAwVRGJwRTGWEwdyoEIJjK6IRgKiMM5k6FAARTGZ0QTGWE wdypEIBgKqMTgqmMMJg7FQIQTGV0QjCVEQZzp0IAgqmMzmbBrJ7r2BmQPfXtubezmSgOCEgQ gGBKULrQPW2CecIpOwFWe+rbc++FCIEpP4UABFMZ3axg+pPDn2uWxeWs2yTjYS6zIU30ZQ/L dd/jMp/mcN7lWibDYoJjLkNlYzZLZXzB3LkQgGAq4zMVTE7AchkPmcyGXiAtDtm0s1TkXJ6b OFcOi2OctqEtm6UyqmDuhAhAMJWRWowwfUYwJu3DmmFBKphUPB1Axfw3ORB31BfbpowXmPsb CEAwlfEsF0wu4+EOAasJZHxdEmE2ZrNURhXMnRABCKYyUkWC6RJ6pRkP+RS3W34vKmgjBLNH NktlfMHcuRCAYCrjMxXMOPshnUKnGQ/jzIbbd7NZdLvfzcbOuvFzNylm17qijIrxdy5LI8F0 SDZLZZzB3HkQgGAq47LttSJljYW5QOBiCEAwL0ZIzRwIZg0hXAcC4xCAYI7DdkjJEMwhsKJQ ICBCAIIpggk3AQEgAATe7/87xCdeb0d0TgAAAABJRU5ErkJggg==</item> <item item-id="60">iVBORw0KGgoAAAANSUhEUgAAAaYAAACGCAYAAACWqi6BAAAAAXNSR0IArs4c6QAAAARnQU1B AACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAA G8lJREFUeF7tXeu16ygPPV8B08etIV1ME+njdpBq/Gs6OcXk42kLEG/wc5+1Zt1JgoW0hbUR YOt/X/H3gz8gAASAABAAAmdBQBIT/oBAMwLLW0xs3t+FESDGuJz0NIvGhUAACNwVgeX7FrHh zQUOmSzd1WzYNR+B5S2IJzaydCYOYprvBvQABC6LgIwhr89voD+I6bIuPVbx388rOtuxmoGY jvURegcCV0BAxhKfnDZi+v18Xz+vL0NeV7CtQEeZOvJLTl+xEBVNK/fGpbk/YcPr8w3nHgXQ 1DaROiYyJRBTLaA17ek4/v1+XuaelUuqMZ80j6kavWTbQn1qxVa179Gh59oqJSsa98SmHWNC hUVc0+Xtco8hJm38z22JSdrnka64kaOxdf1tb1w6+1MBKEa+nSNnvVzevGV9IGPqxDwYo/44 LgmknWOqyoQSfaoENjTu0aHn2gZVY5eMjE27xIQBtks9ycT6ERmTXMd0SUgOwNjGm/fbbrNN 49ze/lIz5wHj5yv0exem1YcTk8CCW78eAcN8GeEY5cexmSSkbO0dU8XGkknLYdj36NBzbTFI mYYTYtPsmDDIdJo1RYlJbWybzWu9RGBnXvJ7czOoAc99Jhta9qb4yNNb8VMYg2wLxXhMrJcb PNvWGzf1GyUOfX1R0FOn1kx/zlIbxZNkc0EQybQLcCWzPg5U47OClTjWJb+iv0JeShx+yNlO fqeKruOtAPsRM8Vm30X0j8gL77XIOGSWapePWb4V9n4iJ5zkZIIu08+8t4v0YUaW3GcI7hOr 92LjTFn8YHWQ2Av8FtOPvHdtn/Q+Plb/WbEpExOmBd9KwWQywxMTDeb0BmeC2haoqPF2ySFy g1bq29NcDb4gCtN1W3+pw1vTdW5qzsaEdk5wpHLdWZEOFJTsLVHF2qVxDWfWLEO5BG3JU/4b Za3yZTzZI58xFdhksVCBnGJh/59ZmiUm6oDTuV9a7Ttm4kb1j8mL3Wvevic/jgvvDDqGT3lv u/u/v8sipo8ET0PI2q9ly8guMpssRUImjm3/3yKT9jBS/zmxqSwmFI6nac22PbH0Ut46w9sc pwbHOnMTgmwQI7NZG5DUT7stI2i0/BuYO/ERHHZwdEwQU8zGiKP4vhlM/MBhg6qPXayd13+0 3+4BRfxdIIslphqbAntJphvJvp2ZNyXbyP/Hst5u3+nBuGYqWZ8E95o7DrPXp/zB3YMnu7dt Fuf4I7J60JTtBxNsOhHsJSYRUcwKU7/+qYlxe2zqGj8F9/qYJtvEN0JMZoaxLuFRx20zXmdZ J7Z0siMxrUGJjNzxxFQ+iKOzXCcT8IiK4lXaromYvGWDkoxJ6Fa6vxTNmGpsCoipDPsRGVO3 7xhi4jPR2L3WTkzBUh0z8dqW5890b9vMhls9kICmM+VkcJxMTLrvEfr3EFP8/rgGMUmC1ysd LDG5N6Wbpmr8zb6Js+atA906Y7AnS3YkpljGlF7K8zOY3FIeY2PsjmCyAx3YaTAyeFoso0Ek 1c5VYFraXrmhzS/lldru+yUyvpLYlxEZK6Lbd4kJhyEtORbi91pITKmHmfNBWd/w57y3l++H bFyum+BmhWKdZ5p9oqZHIqYS00j9G4nJ7J0H8dcMjGkxYUyqtEqxyY4hJjp7Fjczs2S1Ld+Z uUFw0s3eiGa5Ra/jkX0MfxYU2SchfWuQt3bvhchTgdx8JgQZzHTpmjoBcZ1VvsWmsT0MYeSw vwUHPvy9GC/g2r7ohjddH3cwtgE0hpddwkq021y7PdvCDRr/Zq8ZWKljrIyc6Km8Itt9X3Pj K6N8JZEG0rp8x+jPyUvca9s4FPdSZBzn3bfjvZ1XJpyUqWvo/hy5rwJs/IlG5J4L9NgwoDFE hihulSVtBtfnWP3Hx6aLHH5Qt7h+cL/xzQ/CUBHQ62cu1IHbMdfsBrdzU3ogixM79JQYtwSz 52xhPdVTdJNOaDTzaOgoYppg9hNE7jOOW+/tOg8U3SeFqy1FsurUy7Yu6vMs+s+MCVmk6hr0 EVNlgHJUy25+8xvc201JZyziJvLOyMZP4XWe0srim3r+IHvxmAaxfb4x0tUSbs3G8+HPMY2y +zRyOvZYSm2o9HGp2K1dxX2SDewVsuoVjVxR0ecZ9J8dE4bhqgU1EZOztNCqUJaYIvsC63MI 8jkac4OKZ2r8QBk/Vlt31LnVvOOuY/YCRytTGbRATKMdoG7d4jdv1PQ+5N6u6TDbllldyV5z pgZn0H+HmDAY8iZiGqJDipiSG3hmndgwkbqRmAcOu573GGLgjYX8/fP987fcPhBTOVZoCQSA wPf737//qBjTuMfUCqG/uV+3we0fTw+OLtPN5Zo1p1ZznnYdMqaneRz2AoFdETguY9rVTHQ2 FAEQ01A4IQwIAAEXARATRkQ9AiCmesxwBRAAAsUIgJiKoULDFQEQEwYDEAACExEAMU0E97ai QUy3dS0MAwJnQADEdAYvXE0HENMpPFb0cOcpNIUSIxC4nr/D50vVYw7RuiwbSiCmESPmaTJA TMd7vNIHxysMDboQOIO/U6/2iv3G6V1gC4ipa7Q89OKCgUWRwXNMo8dJ2axzdK+QdxQCZ/C3 eEiXeV6UIhIrHsplernsD8R01Fi7cr8gpmO9V4n/scqi924ETuBvWu48bk+EvBqyJhBT96h5 oIDKGwUZ09gxUhYkxvYJacchcLi/uWW69Y3v3rtHY23Dd8Z9X4mXH4CYjhtv1+0ZxHSg7+a8 I+9Ag9B1EoGj/c1lQbSyQ/h7SKScjPTSIIgJt0U9AiCmesxGXdFcj2mUApCzKwIH+5stseKV zwjb+KTD1YFK14YCMe06ym7SGYjpOEdeqKbOcSDdqOfD/R1mNn55dv8zt/TIEVyqrhiI6UZj eDdTQEy7QR10dHigOs70R/Z8Bn97+0ZJYoocGwcxPXL07mw0iGlnwLfuUM7lMOgP6fgs/qZZ UJyY4vtGkphetMS4QJP7zoKMjOmQ4XbxTkFMhznQDwqHKYKOd0HgPP4mpBPZY4o9xySB4uxI 2QZi2mV43awTENNhDuVn0GQjuWjpp7b9DHNrdahtP0PnVpm6im1LabhhGVO2vHuBbevYIr6w hzNSb4UAMRWAiyb9CIwipko5/YpfVALBCcSk1oC+Py1R/gru9+6JMcRky7t7zxz14BF7jiki ExlTD9i4tgyBSkLhH7DVVYt3iS+Z2VyZ0Ue18nBigzJ51qXI1tr2M2yv1aG2/QydZ8tk7olR JDwiY+owH4cfOsDDpYUIdBOTvgEtYf2832qpQ35+L+Q39W4u83l9T5ed/cn2BTNAdUO+v0uh aWwzGRyMfj/O+8IiuqxBgPxOGTgiT968GyZSYx8n8Z2UzbD5+u4x8bvz8uZYXx+JrVpjcdtn cFIzeB8La+8isbZ+zAN+OZ2zdubGg8b7pcatPzYYXxv/sG9IaB6T1i8ZXT96zI+aOIKY8vcD WvQi0E1MUgFv3d15kNB7+E4EPH2gx51R6kAeJx0dRAvIK4WHQ2xU55gu9IY3uqkgYvSIyaP2 R/s0uGVeprmak5TTMgikbRvev8siPELsNXpp3BsnA6fVOWdnbjx4ZGTxoWPDvyeUi5iTbtVj khJi6j6KTKRahopzDR6w7YYQAgoQmEFM8hYURKNnaOYGUR/Im5X95YjE8oQzs7cz/MS//lFW i0L05FBKl8Rv2VNW60zYBnZ/47z8FTXZvgpc7TexWZ2DV+CHvs3+mC8a1NWh3WSi3Tqn7Cwd D8kxzOEW+rt7TJbq2gp4cJ2w4W0y9G3WxHy3XYhTecPAf5CgScSkNrXFrHsRywh6qUPMMsX/ r8sJzuzSnwWG+I/ImKKbzyldMsTEb9xTMqaZSRisSl/qOWbjnBvXdmZtyJMN2G2Z6ql1TtlZ Oh6qiUkSq4tl95gs1XVYSBPjJVgT5L4DMQ2D/JGCZhGT3VMxg1jNdLk9HTvIDZGpVb7YX+8e ExNI3mpdkRKJmpZvutbMSEVbKc8NNmlikn0Vrf1HdW8dtYuYKGxorwFT9UP2I0r8kvQXCcQG n1aNpZ+G6Zy0s3A8NBBT4O/uMVmoazvo7pXceM2MYWRMo8B/kpzSwGgwiZW9WDf7SZR1HtLj gpIJDlpm4T5G0Um1hAPpRjPtk9WFbmJL/fzDHIbE1mVFmnWQww/yd0PKIU5keTM37mK6567z iVe1p/tnQj/rNwcHzi9eIMz1fVadc3bmxsNLTCjWQz/82ODuCbYcedeYtKsNdrzZ+8gfuzlH lf2OQoFlOKFVLwKDiKlXjUdfvx4ImYtCrtKo6j2x10e1K5I1wJyiflp0LrxmgAmhiJ38PVx3 gZlzStSMl+A7r2NkTMM98QCBIKYTOJnbUB6pVsVzZtmAXSGry4SKflp0zl7TpXzm4tn+nqF7 /aEHqwWIaYY/7i4TxHR3D1fYxxyPr7j6mKYtOrdcc4x1d+gVxHQHL+5tA4hpb8TRHxB4FAIg pke5e5CxIKZBQEIMEAACHAIgJoyLegRATPWY4QogAASKEQAxFUOFhisCICYMBiAABCYiAGKa CO5tRYOYbutaGAYEzoAAiOkMXriaDiCmq3kM+gKBSyEAYrqUu06iLIjpJI6AGkDgngiAmO7p 17lWgZjm4gvpQODhCICYHj4AmswHMTXBhouAABAoQwDEVIYTWlEEQEwYD0AACExEAMQ0Edzb ip5CTO3F5W6Lc7NhbqVZV0wC5+y74Jhqqs064kIgEEcAxITRUY/AKGJa5Wyv2y+qM1Sv8X2v CHxhCizSIlUpf62/2XfBZQr89da3uq8nYNlABEBMA8F8jKghxOS/CfqgjKm3VtOhTg/fpr2V p7eKpd647f2WzZiMTFkLCDOIQz1/985BTHf38Az7uomJFiSzBecsMTGF9WzAFGXWZYFAFRNJ UbYXqaoa/Z7DYcTsnxZs46rtqoKAbkXWl/pM3lZNg3xE3lpATsrTAHw/a9E58520x9Eh0kb1 n/rNgBXDWPXdVjp9xnCEzPshAGK6n0/nW9RNTFJFP0PylpLW2TsXwGlgpEtXse9DSFQpc0oY Lag5xEbtcTMRTSqySihTOkERkQnyMXmUcKJ9Sq4WNgWZDNXLX67zfOBkTGksw8ysBUBcAwR4 BEBMGBn1CEwkpi2ukqDpLzEFJa7DLMqWc+dWnDQpeWXME5+djIygJeWwv7H6UvLhMihNLLG+ VLdrNmVLYbvEwl+fIp/EbzGM12Qqo2v9qMIVQGBFAMSEwVCPwCmIyQZnhym+L5WZ5P9GZEx8 hmIJhCefoAw5IbGoPJtpKZalJ+5mE1McyyyJ5l2AFkAgigCICYOjHoGjicnsr6zZhXe6L/w+ YmLvHhOTGb3VfpdZMrPpmsx07N5PZTYl5bmElSam9FKeUM3pP7eU97NlcJ7PsZRXf9vginIE QEzlWKGlRWAIMcmVKbOcJgL4trmvMw36+bVu8pMZPF1qout1se9j3us9lUcPK9BszVkKs3rT AwfyO+agByePWVazREcxVKTjHH7QRm9tPtuBCdOO/c3aEcUShx8QDOYiAGKai+89pQ8ipnuC c6xVu2QyOC5+rJMf0DuI6QFOHm4iiGk4pOMEMg/YjhNulgLL9vFGdgtZz0IAxPQsf4+xFsQ0 BsdpUuRS2wzySL3qaJoxEPxABEBMD3R6t8kgpm4IIQAIAIE4AiAmjI56BEBM9ZjhCiAABIoR ADEVQ4WGKwIgJgwGIAAEJiIAYpoI7m1Fg5hu61oYBgTOgACI6QxeuJoOIKareQz6AoFLIQBi upS7TqIsiOkkjoAaQOCeCICY7unXuVaBmObiC+lA4OEIgJgePgCazAcxNcGGi4AAEChDAMRU hhNaUQRATBgPQAAITEQAxDQR3NuKBjHd1rUwDAicAQEQ0xm8cDUdhhFTpLz41fA4hb5neV2Q 0IN5w/kpIIISl0EAxHQZV51I0SHEREon+DWKTmTqKVUJ8J/84tZaEHrrXNX2h/a3QwDEdDuX 7mDQCGI6kox6azDtAHG8C13DiZag2qXURa3NKI1RixjaEwRATBgO9Qj0EpNf+G6NsmRp78eW JrffRT5bgvuIKrE/bsBmDRsxm6fF/JxlK05/ocVKwpGly4i8rViiKKioMKKFBs13keKAunS8 KcToV89dREFB8xsluNhAaJOFYoL1NxausAiAmDAW6hHoJSbZY5AxuZmADsqmdEO0HHndHpUO sJbg6s1WVzjERkuTx/SnZGXsUURk9IjJo4QT7VOqI2wK2MXdb/pdZK1coochKo1HrjxGu6xT ZnKNbsdl+yIAYtoX73v0NoOYouTDkBhtW7gk6Mz6bSaR+Pcl67szf1IO+1uj/lF5tu81m7IE QslQExOnj822nN8CrFxZscHZKitr2z3uBlgxAQEQ0wRQby9yBjHRLMLPqGqCfgL8ERkTn6GI Thv1j8qzGY7KhmjWUkZMGgabJUUyT/V7aQZZLwvEdPtIMM1AENM0aG8seAYxOYHYBPp1/8ab 2QdLYaXB1V+Ka/ARQ5JvlV2ZwG2X1aSO/t6OTcJSGZ/4TcpzCStNTNxS3odkfMubLhuSfTiq YxSK5dsqC0t5DeMLlygEQEwYCPUIdBMT3XchgdI5FOHufTgHAV5i+Uotw4l/xQk1vcmf2ysh ZvaeyqOHFWi/rP70wILUkXy2xMXJ8w+ISBtN+xULSYLs4QcX35W4Apk+Zh65OlmXwdkSb1YW Dj/U31i4wiIAYsJYqEegm5jqu8QVcQSKM5PC/bjl8xH0mfnLycJx8RyC+D2BAIgJw6MeARBT PWZTryjcK8qRicnmSo6Qh6cqiYEjjuRPxQvCz44AiOnsHjqjfiCmE3pFLp2lljOZY+vNVqRk neXVSM3G4cITIABiOoETLqcCiOlyLoPCQOBKCICYruSts+gKYjqLJ6AHELglAiCmW7p1slEg pskAQzwQeDYCIKZn+7/NehBTG264CggAgSIEQExFMKGRgwCICQMCCACBiQiAmCaCe1vRIKbb uhaGAYEzIABiOoMXrqYDiOlqHoO+QOBSCICYLuWukygLYjqJI6AGELgnAiCme/p1rlUgprn4 QjoQeDgCIKaHD4Am80FMTbDhIiAABMoQADGV4YRWFAEQU914KHp33JNe5VNWoLAO5JLWdRWP SyTqNkLuWqKl/Cq0jCMAYsLoqEdgFDHVyKlpW29R/orm/r0Ce2xPhS9hzWtZ36LZrsqu1n62 sh9FL4ut7CYR6sS7BGldqooaXiU6FE0+SgShjUQAxIRxUI9AZTDT9ZJ+vH50gCoLThVte2st sWhU9M9dnwlaxWUr6j2VuaLTrmJ9/H4OyJiyb1YvNibeEKU+BoCoRYCYhkH5IEHdxESL5wnS WtmJvrXazmhjbRm8B8xadfl1UxRPLc/w/TuFCym70qJ/TgVb/ebvVT79jV0G4rBQAkSRRIlN ZFmKFPB7kSq2IVq+XW9RZl3b/V78Yobms1dRWOOUyzw4/CwxMUUTrX0fUQFY6WJt1ro5NpXa 6hc1TI43i6u1y/vM6beCi+KIo6IgiGkUkk+S001MEix/1uzOqnXgt2Uc8jNsHfBzQTLnJHef 53eR9WYZXWnVWEqGDjESnen3y0eQyqaHW0Ldfh/Dgik3oYiQkjgNqDk8PFydarhekF31Tvkp hq/vv0iwZ8mW6kGXPGPfR3QIMqaEHX7b3GSAdHlc9psb29f6HcR0LX+dQ9sZxBQNBhyJuTA4 WY7NdhL/pjIJmwm5bSLEuGZHWzbEyja2qTLw3tql1D24JoVF9jdbat5mP6khE9q1BVZaZl0E 8Y9MXWjGZuQWLZHxxLRB4ZM4IVSmxLyfRdkMN7ksnBxfnl1ZjOOEz/rzHHftpbQAMV3KXSdR dgYxOTN/PwDulTFZfP0DC5EZv4qEW5bFZz+bLe+3yOq8ZTs2kKWwyAbNVLFAf/wwuMq+hY6L WErTy4UiCIv/31a/aIbGEBU7RHuJibGpdtnWx60LYxDT7EgEYpqN8B3lzyAms7S3ZhQmQLJL aTFMa4NVIGcRQXhbZ1sEkeiPbmB1CYgs/zGk8ZYCiF4yI6EZEk9mNFuR3WuyUKokZ/56eWqV n/UTR/hm38cwkcogHTJN6BYd6x3EZPb4QpsqbQ0yu5Qdnr6UxDIZIpbyxgQ8ENMYHJ8lJRvw XDj4U3ky3pplJzsdd5Zt3Fly0DaGeNepPLqH4y67Of0zy0tr8KaHH9QeGdngl3Z6y3+KaLjD DywW9CCBJ9shLg9XhZUXiA1+HK6/KlsyDYQeilzpX8JPJf1sB0c08dPParlTLcMS/9P+6Hpd 7PvAVtevq4iS8SZ1EcfMX+agB6vfig0OP4wKhCCmUUg+Sc4gYnoSZClb95xlLx+TeU0Gf69+ krjuZOuqA46LDxtVIKZhUD5IEIhpsLPpabPBop3ZfOlzYz067PVsVErHA3ToXkbuwfx+14KY 7ufT+RaBmCZgLINpzcGFCSpAZCMC7mMGjUJwGUEAxIThUI8AiKkeM1wBBIBAMQIgpmKo0JCu pZe9SkhfETv8AESBABAAAhwCICaMi3oEkDHVY4YrgAAQKEYAxFQMFRoiY8IYAAJAYA8EQEx7 oHy3PpAx3c2jsAcInAoBENOp3HERZUBMF3EU1AQC10QAxHRNvx2r9d8/3z9/y1XA4YdyrNAS CACB7/e/f/9RMcav4gZsgEAcAWRMGB1AAAhMRAAZ00RwbysaxHRb18IwIHAGBEBMZ/DC1XQA MV3NY9AXCFwKARDTpdx1EmVBTCdxBNQAAvdEAMR0T7/OtaqytET34YdKIuw2vqa/mrbdikEA EHgGArb0Cg4/PMPfY6zkavQkJPcR095viq7pr6btGOghBQg8AQFbpBPE9ARvD7NRvE254mV5 LDHZSqCiKJ38XYkjhdt0xVJaGE8W7hMlvk3BNlpZ9keW/1bNRdE9UwpcyRT1eNRnVSKcK57n A+L3J5WSf7TQnK1qG2s7DGQIAgIPRWB70z6I6aFDoM3suhINITFxREGrf9L6RF6Z62hpcV8m JRNTToKWyI4a7pcBd7MiXW3VlqfgSpO3IYqrgAAQsAiI+8pUZAYxYVRUIeCU385cmcyYSAlv Xb56+08nZaXERDImR6bNcJjfWb0r+vN1q0IQjYEAEOBvwfdXr5jgAVuMkFoEKvaZyomJK5RX QRTRbMoY5/9eQkx+luXIQMZUO2zQHgjkELD7SyCmHFL4nUGgfDmviJjMfpKdKX3X025+8Pc+ U+KYQUx2f8nuqcn+zDJDkM1hnAABINCJgLt/jaW8TjgfebkM0gWHIEJiogcHSJZEDj9QuXpf Rx5+0IcR1s/yu9dLHHCQv4t/X3YZUMr0+yCfV2Lhveb3Rw9lbPtL+tqg7SMHAowGAmMQoNkS MqYxmD5Sin0QLmV833HxR8IKo4HA8xBgno9ExvS8YTDMYpk1pBInENMwqCEICNwTgcjqC4jp nu7ezSr3GLXbLYhpNzegIyBwMQTMYx2RmS2I6WLuhLpAAAgAgbsj8H/RzjVaqvQZ0AAAAABJ RU5ErkJggg==</item> </binaryContent> </worksheet>