<?xml version='1.0' encoding='utf-8' ?>

<!-- build 20262.26.0819.2015                               -->
<workbook _.fcp.WorkbookFingerprinting.true...author-id='ba93f5759e1b8043f1c4496786443ced716b431b8c9fe4f03a591bb5760e670d' _.fcp.WorkbookFingerprinting.true...creator-author-id='ba93f5759e1b8043f1c4496786443ced716b431b8c9fe4f03a591bb5760e670d' _.fcp.WorkbookFingerprinting.true...creator-license-type='public' _.fcp.WorkbookFingerprinting.true...creator-machine-id='dd4578a6dddd7ba1ddf4322ffc524d1873ebacd7f49af7dc63014c3d00cec293' _.fcp.WorkbookFingerprinting.true...license-type='public' _.fcp.WorkbookFingerprinting.true...machine-id='dd4578a6dddd7ba1ddf4322ffc524d1873ebacd7f49af7dc63014c3d00cec293' original-version='18.1' source-build='2026.2.2 (20262.26.0819.2015)' source-platform='win' version='18.1' xml:base='https://public.tableau.com' xmlns:user='http://www.tableausoftware.com/xml/user'>
  <document-format-change-manifest>
    <AccessibleZoneTabOrder />
    <AnimationOnByDefault />
    <AutoCreateAndUpdateDSDPhoneLayouts />
    <MarkAnimation />
    <ObjectModelEncapsulateLegacy />
    <ObjectModelExtractV2 />
    <ObjectModelTableType />
    <PatternedLineMarks />
    <SchemaViewerObjectModel />
    <SetMembershipControl />
    <SheetIdentifierTracking />
    <VConnDownstreamExtractsWithWarnings />
    <WindowsPersistSimpleIdentifiers />
    <_.fcp.WorkbookFingerprinting.true...WorkbookFingerprinting />
  </document-format-change-manifest>
  <repository-location id='EconomicPulse-Mexico' path='/workbooks' revision='1.1' />
  <preferences>
    <preference name='ui.encoding.shelf.height' value='24' />
    <preference name='ui.shelf.height' value='26' />
  </preferences>
  <datasources>
    <datasource caption='economic_pulse_indicators_long' inline='true' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' version='18.1'>
      <connection class='federated'>
        <named-connections>
          <named-connection caption='economic_pulse_indicators_long' name='textscan.0cs7uw71j5b4mo1bf3ae819ktunw'>
            <connection class='textscan' directory='C:/Users/alois/Documents/CURSOR_PROJECTS/economic-pulse-lakehouse/tableau/extract' filename='economic_pulse_indicators_long.csv' password='' server='' workgroup-auth-mode='as-is' />
          </named-connection>
        </named-connections>
        <relation connection='textscan.0cs7uw71j5b4mo1bf3ae819ktunw' name='economic_pulse_indicators_long.csv' table='[economic_pulse_indicators_long#csv]' type='table'>
          <columns character-set='UTF-8' header='yes' locale='en_US' separator=','>
            <column datatype='string' name='source' ordinal='0' />
            <column datatype='string' name='indicator_id' ordinal='1' />
            <column datatype='string' name='indicator_label' ordinal='2' />
            <column datatype='date' name='obs_date' ordinal='3' />
            <column datatype='real' name='value' ordinal='4' />
            <column datatype='boolean' name='is_fallback' ordinal='5' />
            <column datatype='real' name='change_pct' ordinal='6' />
            <column datatype='real' name='rolling_avg_30d' ordinal='7' />
          </columns>
        </relation>
        <metadata-records>
          <metadata-record class='capability'>
            <remote-name />
            <remote-type>0</remote-type>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias />
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='character-set'>&quot;UTF-8&quot;</attribute>
              <attribute datatype='string' name='collation'>&quot;en_US&quot;</attribute>
              <attribute datatype='string' name='field-delimiter'>&quot;,&quot;</attribute>
              <attribute datatype='string' name='header-row'>&quot;true&quot;</attribute>
              <attribute datatype='string' name='locale'>&quot;en_US&quot;</attribute>
              <attribute datatype='string' name='single-char'>&quot;&quot;</attribute>
            </attributes>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>source</remote-name>
            <remote-type>129</remote-type>
            <local-name>[source]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>source</remote-alias>
            <ordinal>0</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <scale>1</scale>
            <width>1073741823</width>
            <contains-null>true</contains-null>
            <collation flag='0' name='LEN_RUS' />
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>indicator_id</remote-name>
            <remote-type>129</remote-type>
            <local-name>[indicator_id]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>indicator_id</remote-alias>
            <ordinal>1</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <scale>1</scale>
            <width>1073741823</width>
            <contains-null>true</contains-null>
            <collation flag='0' name='LEN_RUS' />
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>indicator_label</remote-name>
            <remote-type>129</remote-type>
            <local-name>[indicator_label]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>indicator_label</remote-alias>
            <ordinal>2</ordinal>
            <local-type>string</local-type>
            <aggregation>Count</aggregation>
            <scale>1</scale>
            <width>1073741823</width>
            <contains-null>true</contains-null>
            <collation flag='0' name='LEN_RUS' />
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>obs_date</remote-name>
            <remote-type>133</remote-type>
            <local-name>[obs_date]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>obs_date</remote-alias>
            <ordinal>3</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>value</remote-name>
            <remote-type>5</remote-type>
            <local-name>[value]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>value</remote-alias>
            <ordinal>4</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>is_fallback</remote-name>
            <remote-type>11</remote-type>
            <local-name>[is_fallback]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>is_fallback</remote-alias>
            <ordinal>5</ordinal>
            <local-type>boolean</local-type>
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>change_pct</remote-name>
            <remote-type>5</remote-type>
            <local-name>[change_pct]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>change_pct</remote-alias>
            <ordinal>6</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>rolling_avg_30d</remote-name>
            <remote-type>5</remote-type>
            <local-name>[rolling_avg_30d]</local-name>
            <parent-name>[economic_pulse_indicators_long.csv]</parent-name>
            <remote-alias>rolling_avg_30d</remote-alias>
            <ordinal>7</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]</object-id>
          </metadata-record>
        </metadata-records>
      </connection>
      <aliases enabled='yes' />
      <column caption='IGAE Level' datatype='real' name='[Calculation_0246609227075584]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='IF [indicator_label] = &quot;igae_ivf&quot; THEN [value] END' />
      </column>
      <column caption='IGAE YoY %' datatype='real' name='[Calculation_0246609227411457]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='IF [indicator_label] = &quot;igae_variacion_anual&quot; THEN [value] END' />
      </column>
      <column caption='economic_pulse_indicators_long.csv' datatype='table' name='[__tableau_internal_object_id__].[economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140]' role='measure' type='quantitative' />
      <column caption='Change Pct' datatype='real' name='[change_pct]' role='measure' type='quantitative' />
      <column caption='Indicator Id' datatype='string' name='[indicator_id]' role='dimension' type='nominal' />
      <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
      <column caption='Is Fallback' datatype='boolean' name='[is_fallback]' role='dimension' type='nominal' />
      <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
      <column caption='Rolling Avg 30D' datatype='real' name='[rolling_avg_30d]' role='measure' type='quantitative' />
      <column caption='Source' datatype='string' name='[source]' role='dimension' type='nominal' />
      <column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
      <column-instance column='[Calculation_0246609227075584]' derivation='Sum' name='[sum:Calculation_0246609227075584:qk]' pivot='key' type='quantitative' />
      <column-instance column='[Calculation_0246609227411457]' derivation='Sum' name='[sum:Calculation_0246609227411457:qk]' pivot='key' type='quantitative' />
      <column-instance column='[rolling_avg_30d]' derivation='Sum' name='[sum:rolling_avg_30d:qk]' pivot='key' type='quantitative' />
      <column-instance column='[value]' derivation='Sum' name='[sum:value:qk]' pivot='key' type='quantitative' />
      <extract count='-1' enabled='true' object-id='' units='records' user-specific='false'>
        <connection access_mode='readonly' author-locale='en_US' class='hyper' dbname='C:/Users/alois/AppData/Local/Temp/TableauTemp/#TableauTemp_0f0qxfa16xzz031ce58l00zkysal.hyper' default-settings='hyper' schema='Extract' sslmode='' tablename='Extract' update-time='09/10/2026 06:09:19 PM' username='tableau_internal_user'>
          <relation name='Extract' table='[Extract].[Extract]' type='table' />
          <metadata-records>
            <metadata-record class='column'>
              <remote-name>source</remote-name>
              <remote-type>129</remote-type>
              <local-name>[source]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>source</remote-alias>
              <ordinal>0</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>2</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LEN_RUS' />
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>indicator_id</remote-name>
              <remote-type>129</remote-type>
              <local-name>[indicator_id]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>indicator_id</remote-alias>
              <ordinal>1</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>6</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LEN_RUS' />
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>indicator_label</remote-name>
              <remote-type>129</remote-type>
              <local-name>[indicator_label]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>indicator_label</remote-alias>
              <ordinal>2</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>string</local-type>
              <aggregation>Count</aggregation>
              <approx-count>6</approx-count>
              <contains-null>true</contains-null>
              <collation flag='0' name='LEN_RUS' />
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>obs_date</remote-name>
              <remote-type>133</remote-type>
              <local-name>[obs_date]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>obs_date</remote-alias>
              <ordinal>3</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>644</approx-count>
              <contains-null>true</contains-null>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>value</remote-name>
              <remote-type>5</remote-type>
              <local-name>[value]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>value</remote-alias>
              <ordinal>4</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>1368</approx-count>
              <contains-null>true</contains-null>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>is_fallback</remote-name>
              <remote-type>11</remote-type>
              <local-name>[is_fallback]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>is_fallback</remote-alias>
              <ordinal>5</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>boolean</local-type>
              <aggregation>Count</aggregation>
              <approx-count>1</approx-count>
              <contains-null>true</contains-null>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>change_pct</remote-name>
              <remote-type>5</remote-type>
              <local-name>[change_pct]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>change_pct</remote-alias>
              <ordinal>6</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>1408</approx-count>
              <contains-null>true</contains-null>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>rolling_avg_30d</remote-name>
              <remote-type>5</remote-type>
              <local-name>[rolling_avg_30d]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>rolling_avg_30d</remote-alias>
              <ordinal>7</ordinal>
              <family>economic_pulse_indicators_long.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>1424</approx-count>
              <contains-null>true</contains-null>
            </metadata-record>
          </metadata-records>
        </connection>
      </extract>
      <layout dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
      <style>
        <style-rule element='mark'>
          <encoding attr='color' field='[:Measure Names]' type='palette'>
            <map to='#4e79a7'>
              <bucket>&quot;[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:rolling_avg_30d:qk]&quot;</bucket>
            </map>
            <map to='#76b7b2'>
              <bucket>&quot;[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227411457:qk]&quot;</bucket>
            </map>
            <map to='#e15759'>
              <bucket>&quot;[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227075584:qk]&quot;</bucket>
            </map>
            <map to='#f28e2b'>
              <bucket>&quot;[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:value:qk]&quot;</bucket>
            </map>
          </encoding>
        </style-rule>
      </style>
      <semantic-values>
        <semantic-value key='[Country].[Name]' value='&quot;Mexico&quot;' />
      </semantic-values>
      <object-graph>
        <objects>
          <object caption='economic_pulse_indicators_long.csv' id='economic_pulse_indicators_long.csv_AC65E170E8D241CA9395C2C71DDA0140'>
            <properties context=''>
              <relation connection='textscan.0cs7uw71j5b4mo1bf3ae819ktunw' name='economic_pulse_indicators_long.csv' table='[economic_pulse_indicators_long#csv]' type='table'>
                <columns character-set='UTF-8' header='yes' locale='en_US' separator=','>
                  <column datatype='string' name='source' ordinal='0' />
                  <column datatype='string' name='indicator_id' ordinal='1' />
                  <column datatype='string' name='indicator_label' ordinal='2' />
                  <column datatype='date' name='obs_date' ordinal='3' />
                  <column datatype='real' name='value' ordinal='4' />
                  <column datatype='boolean' name='is_fallback' ordinal='5' />
                  <column datatype='real' name='change_pct' ordinal='6' />
                  <column datatype='real' name='rolling_avg_30d' ordinal='7' />
                </columns>
              </relation>
            </properties>
            <properties context='extract'>
              <relation name='Extract' table='[Extract].[Extract]' type='table' />
            </properties>
          </object>
        </objects>
      </object-graph>
    </datasource>
    <datasource caption='economic_pulse_indicators_wide' inline='true' name='federated.0r5iptr0hf6xd51887l1a1i116lp' version='18.1'>
      <connection class='federated'>
        <named-connections>
          <named-connection caption='economic_pulse_indicators_wide' name='textscan.0wpq0in1w2da0b1630izb0xpvzzr'>
            <connection class='textscan' directory='C:/Users/alois/Documents/CURSOR_PROJECTS/economic-pulse-lakehouse/tableau/extract' filename='economic_pulse_indicators_wide.csv' password='' server='' workgroup-auth-mode='as-is' />
          </named-connection>
        </named-connections>
        <relation connection='textscan.0wpq0in1w2da0b1630izb0xpvzzr' name='economic_pulse_indicators_wide.csv' table='[economic_pulse_indicators_wide#csv]' type='table'>
          <columns character-set='UTF-8' header='yes' locale='en_US' separator=','>
            <column datatype='date' name='calendar_date' ordinal='0' />
            <column datatype='real' name='desempleo_tasa' ordinal='1' />
            <column datatype='real' name='fx_rate_usd_mxn' ordinal='2' />
            <column datatype='real' name='inpc_general' ordinal='3' />
            <column datatype='real' name='desocupados_total' ordinal='4' />
            <column datatype='real' name='igae_ivf' ordinal='5' />
            <column datatype='real' name='igae_variacion_anual' ordinal='6' />
          </columns>
        </relation>
        <metadata-records>
          <metadata-record class='capability'>
            <remote-name />
            <remote-type>0</remote-type>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias />
            <aggregation>Count</aggregation>
            <contains-null>true</contains-null>
            <attributes>
              <attribute datatype='string' name='character-set'>&quot;UTF-8&quot;</attribute>
              <attribute datatype='string' name='collation'>&quot;en_US&quot;</attribute>
              <attribute datatype='string' name='field-delimiter'>&quot;,&quot;</attribute>
              <attribute datatype='string' name='header-row'>&quot;true&quot;</attribute>
              <attribute datatype='string' name='locale'>&quot;en_US&quot;</attribute>
              <attribute datatype='string' name='single-char'>&quot;&quot;</attribute>
            </attributes>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>calendar_date</remote-name>
            <remote-type>133</remote-type>
            <local-name>[calendar_date]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>calendar_date</remote-alias>
            <ordinal>0</ordinal>
            <local-type>date</local-type>
            <aggregation>Year</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>desempleo_tasa</remote-name>
            <remote-type>5</remote-type>
            <local-name>[desempleo_tasa]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>desempleo_tasa</remote-alias>
            <ordinal>1</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>fx_rate_usd_mxn</remote-name>
            <remote-type>5</remote-type>
            <local-name>[fx_rate_usd_mxn]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>fx_rate_usd_mxn</remote-alias>
            <ordinal>2</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>inpc_general</remote-name>
            <remote-type>5</remote-type>
            <local-name>[inpc_general]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>inpc_general</remote-alias>
            <ordinal>3</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>desocupados_total</remote-name>
            <remote-type>5</remote-type>
            <local-name>[desocupados_total]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>desocupados_total</remote-alias>
            <ordinal>4</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>igae_ivf</remote-name>
            <remote-type>5</remote-type>
            <local-name>[igae_ivf]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>igae_ivf</remote-alias>
            <ordinal>5</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
          <metadata-record class='column'>
            <remote-name>igae_variacion_anual</remote-name>
            <remote-type>5</remote-type>
            <local-name>[igae_variacion_anual]</local-name>
            <parent-name>[economic_pulse_indicators_wide.csv]</parent-name>
            <remote-alias>igae_variacion_anual</remote-alias>
            <ordinal>6</ordinal>
            <local-type>real</local-type>
            <aggregation>Sum</aggregation>
            <contains-null>true</contains-null>
            <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
          </metadata-record>
        </metadata-records>
      </connection>
      <aliases enabled='yes' />
      <column caption='economic_pulse_indicators_wide.csv' datatype='table' name='[__tableau_internal_object_id__].[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]' role='measure' type='quantitative' />
      <column caption='Calendar Date' datatype='date' name='[calendar_date]' role='dimension' type='ordinal' />
      <column caption='Desempleo Tasa' datatype='real' name='[desempleo_tasa]' role='measure' type='quantitative' />
      <column caption='Desocupados Total' datatype='real' name='[desocupados_total]' role='measure' type='quantitative' />
      <column caption='Fx Rate Usd Mxn' datatype='real' name='[fx_rate_usd_mxn]' role='measure' type='quantitative' />
      <column caption='Igae Ivf' datatype='real' name='[igae_ivf]' role='measure' type='quantitative' />
      <column caption='Igae Variacion Anual' datatype='real' name='[igae_variacion_anual]' role='measure' type='quantitative' />
      <column caption='Inpc General' datatype='real' name='[inpc_general]' role='measure' type='quantitative' />
      <extract count='-1' enabled='true' object-id='' units='records' user-specific='false'>
        <connection access_mode='readonly' author-locale='en_US' class='hyper' dbname='C:/Users/alois/AppData/Local/Temp/TableauTemp/#TableauTemp_08b29ed0yv47hf1g9wg1x0kecgc2.hyper' default-settings='hyper' schema='Extract' sslmode='' tablename='Extract' update-time='09/10/2026 06:09:21 PM' username='tableau_internal_user'>
          <relation name='Extract' table='[Extract].[Extract]' type='table' />
          <metadata-records>
            <metadata-record class='column'>
              <remote-name>calendar_date</remote-name>
              <remote-type>133</remote-type>
              <local-name>[calendar_date]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>calendar_date</remote-alias>
              <ordinal>0</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>date</local-type>
              <aggregation>Year</aggregation>
              <approx-count>401</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>desempleo_tasa</remote-name>
              <remote-type>5</remote-type>
              <local-name>[desempleo_tasa]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>desempleo_tasa</remote-alias>
              <ordinal>1</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>13</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>fx_rate_usd_mxn</remote-name>
              <remote-type>5</remote-type>
              <local-name>[fx_rate_usd_mxn]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>fx_rate_usd_mxn</remote-alias>
              <ordinal>2</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>271</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>inpc_general</remote-name>
              <remote-type>5</remote-type>
              <local-name>[inpc_general]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>inpc_general</remote-alias>
              <ordinal>3</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>13</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>desocupados_total</remote-name>
              <remote-type>5</remote-type>
              <local-name>[desocupados_total]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>desocupados_total</remote-alias>
              <ordinal>4</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>3</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>igae_ivf</remote-name>
              <remote-type>5</remote-type>
              <local-name>[igae_ivf]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>igae_ivf</remote-alias>
              <ordinal>5</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>12</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
            <metadata-record class='column'>
              <remote-name>igae_variacion_anual</remote-name>
              <remote-type>5</remote-type>
              <local-name>[igae_variacion_anual]</local-name>
              <parent-name>[Extract]</parent-name>
              <remote-alias>igae_variacion_anual</remote-alias>
              <ordinal>6</ordinal>
              <family>economic_pulse_indicators_wide.csv</family>
              <local-type>real</local-type>
              <aggregation>Sum</aggregation>
              <approx-count>12</approx-count>
              <contains-null>true</contains-null>
              <object-id>[economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5]</object-id>
            </metadata-record>
          </metadata-records>
        </connection>
      </extract>
      <layout dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
      <semantic-values>
        <semantic-value key='[Country].[Name]' value='&quot;Mexico&quot;' />
      </semantic-values>
      <object-graph>
        <objects>
          <object caption='economic_pulse_indicators_wide.csv' id='economic_pulse_indicators_wide.csv_446D885FD77D4F4EB9E57F78916B0CC5'>
            <properties context=''>
              <relation connection='textscan.0wpq0in1w2da0b1630izb0xpvzzr' name='economic_pulse_indicators_wide.csv' table='[economic_pulse_indicators_wide#csv]' type='table'>
                <columns character-set='UTF-8' header='yes' locale='en_US' separator=','>
                  <column datatype='date' name='calendar_date' ordinal='0' />
                  <column datatype='real' name='desempleo_tasa' ordinal='1' />
                  <column datatype='real' name='fx_rate_usd_mxn' ordinal='2' />
                  <column datatype='real' name='inpc_general' ordinal='3' />
                  <column datatype='real' name='desocupados_total' ordinal='4' />
                  <column datatype='real' name='igae_ivf' ordinal='5' />
                  <column datatype='real' name='igae_variacion_anual' ordinal='6' />
                </columns>
              </relation>
            </properties>
            <properties context='extract'>
              <relation name='Extract' table='[Extract].[Extract]' type='table' />
            </properties>
          </object>
        </objects>
      </object-graph>
    </datasource>
  </datasources>
  <worksheets>
    <worksheet name='Employment — headcount'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_long' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' />
          </datasources>
          <datasource-dependencies datasource='federated.03yfox21oi25ew1dxjv8v05n4pjv'>
            <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
            <column-instance column='[indicator_label]' derivation='None' name='[none:indicator_label:nk]' pivot='key' type='nominal' />
            <column-instance column='[source]' derivation='None' name='[none:source:nk]' pivot='key' type='nominal' />
            <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
            <column caption='Source' datatype='string' name='[source]' role='dimension' type='nominal' />
            <column-instance column='[value]' derivation='Sum' name='[sum:value:qk]' pivot='key' type='quantitative' />
            <column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
            <column-instance column='[obs_date]' derivation='Year' name='[yr:obs_date:ok]' pivot='key' type='ordinal' />
          </datasource-dependencies>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]'>
            <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;desocupados_total&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]'>
            <groupfilter function='member' level='[none:source:nk]' member='&quot;inegi&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <slices>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]</column>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style />
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
          </pane>
        </panes>
        <rows>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:value:qk]</rows>
        <cols>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</cols>
      </table>
      <simple-id uuid='{56F51914-1675-4D8D-A590-73B83B4C5A69}' />
    </worksheet>
    <worksheet name='Employment— rate'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_long' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' />
          </datasources>
          <datasource-dependencies datasource='federated.03yfox21oi25ew1dxjv8v05n4pjv'>
            <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
            <column-instance column='[indicator_label]' derivation='None' name='[none:indicator_label:nk]' pivot='key' type='nominal' />
            <column-instance column='[source]' derivation='None' name='[none:source:nk]' pivot='key' type='nominal' />
            <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
            <column caption='Source' datatype='string' name='[source]' role='dimension' type='nominal' />
            <column-instance column='[value]' derivation='Sum' name='[sum:value:qk]' pivot='key' type='quantitative' />
            <column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
            <column-instance column='[obs_date]' derivation='Year' name='[yr:obs_date:ok]' pivot='key' type='ordinal' />
          </datasource-dependencies>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]'>
            <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;desempleo_tasa&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]'>
            <groupfilter function='member' level='[none:source:nk]' member='&quot;inegi&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <slices>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]</column>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style />
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Bar' />
          </pane>
        </panes>
        <rows>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:value:qk]</rows>
        <cols>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</cols>
      </table>
      <simple-id uuid='{9112F056-94F1-4035-97C0-8DFBABF73BE7}' />
    </worksheet>
    <worksheet name='FX rate trend'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_long' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' />
          </datasources>
          <datasource-dependencies datasource='federated.03yfox21oi25ew1dxjv8v05n4pjv'>
            <column-instance column='[obs_date]' derivation='Day' name='[dy:obs_date:qk]' pivot='key' type='quantitative' />
            <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
            <column-instance column='[indicator_label]' derivation='None' name='[none:indicator_label:nk]' pivot='key' type='nominal' />
            <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
            <column caption='Rolling Avg 30D' datatype='real' name='[rolling_avg_30d]' role='measure' type='quantitative' />
            <column-instance column='[rolling_avg_30d]' derivation='Sum' name='[sum:rolling_avg_30d:qk]' pivot='key' type='quantitative' />
            <column-instance column='[value]' derivation='Sum' name='[sum:value:qk]' pivot='key' type='quantitative' />
            <column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
          </datasource-dependencies>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]'>
            <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;fx_rate_usd_mxn&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <slices>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='axis'>
            <encoding attr='space' class='0' field='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:rolling_avg_30d:qk]' field-type='quantitative' fold='true' scope='rows' synchronized='true' type='space' />
          </style-rule>
          <style-rule element='refline'>
            <format attr='line-visibility' scope='cols' value='on' />
            <format attr='line-pattern-only' scope='cols' value='dashed' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
          </pane>
          <pane id='1' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:value:qk]'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
          </pane>
          <pane id='2' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:rolling_avg_30d:qk]'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Line' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
            <style>
              <style-rule element='mark'>
                <format attr='mark-line-pattern' value='dashed' />
              </style-rule>
            </style>
          </pane>
        </panes>
        <rows>([federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:value:qk] + [federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:rolling_avg_30d:qk])</rows>
        <cols>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[dy:obs_date:qk]</cols>
      </table>
      <simple-id uuid='{6FBD2D1F-085D-4990-8F4D-7D0B16270DA1}' />
    </worksheet>
    <worksheet name='IGAE trend'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_long' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' />
          </datasources>
          <datasource-dependencies datasource='federated.03yfox21oi25ew1dxjv8v05n4pjv'>
            <column caption='IGAE Level' datatype='real' name='[Calculation_0246609227075584]' role='measure' type='quantitative'>
              <calculation class='tableau' formula='IF [indicator_label] = &quot;igae_ivf&quot; THEN [value] END' />
            </column>
            <column caption='IGAE YoY %' datatype='real' name='[Calculation_0246609227411457]' role='measure' type='quantitative'>
              <calculation class='tableau' formula='IF [indicator_label] = &quot;igae_variacion_anual&quot; THEN [value] END' />
            </column>
            <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
            <column-instance column='[indicator_label]' derivation='None' name='[none:indicator_label:nk]' pivot='key' type='nominal' />
            <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
            <column-instance column='[Calculation_0246609227075584]' derivation='Sum' name='[sum:Calculation_0246609227075584:qk]' pivot='key' type='quantitative' />
            <column-instance column='[Calculation_0246609227411457]' derivation='Sum' name='[sum:Calculation_0246609227411457:qk]' pivot='key' type='quantitative' />
            <column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
            <column-instance column='[obs_date]' derivation='Year' name='[yr:obs_date:ok]' pivot='key' type='ordinal' />
          </datasource-dependencies>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]'>
            <groupfilter function='union' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
              <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;igae_ivf&quot;' />
              <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;igae_variacion_anual&quot;' />
            </groupfilter>
          </filter>
          <slices>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='axis'>
            <encoding attr='space' class='0' field='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227411457:qk]' field-type='quantitative' fold='true' scope='rows' type='space' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
          </pane>
          <pane id='1' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227075584:qk]'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
          </pane>
          <pane id='2' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227411457:qk]'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Automatic' />
            <encodings>
              <color column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' />
            </encodings>
          </pane>
        </panes>
        <rows>([federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227075584:qk] + [federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:Calculation_0246609227411457:qk])</rows>
        <cols>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</cols>
      </table>
      <simple-id uuid='{F1463AB0-4861-4722-A751-F1E4F4C40747}' />
    </worksheet>
    <worksheet name='Inflation (INPC) YoY %'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_long' name='federated.03yfox21oi25ew1dxjv8v05n4pjv' />
          </datasources>
          <datasource-dependencies datasource='federated.03yfox21oi25ew1dxjv8v05n4pjv'>
            <column caption='Change Pct' datatype='real' name='[change_pct]' role='measure' type='quantitative' />
            <column caption='Indicator Label' datatype='string' name='[indicator_label]' role='dimension' type='nominal' />
            <column-instance column='[indicator_label]' derivation='None' name='[none:indicator_label:nk]' pivot='key' type='nominal' />
            <column caption='Obs Date' datatype='date' name='[obs_date]' role='dimension' type='ordinal' />
            <column-instance column='[change_pct]' derivation='Sum' name='[sum:change_pct:qk]' pivot='key' type='quantitative' />
            <column-instance column='[obs_date]' derivation='Year' name='[yr:obs_date:qk]' pivot='key' type='quantitative' />
          </datasource-dependencies>
          <filter class='categorical' column='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]'>
            <groupfilter function='member' level='[none:indicator_label:nk]' member='&quot;inpc_general&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
          </filter>
          <slices>
            <column>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style />
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Bar' />
          </pane>
        </panes>
        <rows>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[sum:change_pct:qk]</rows>
        <cols>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:qk]</cols>
      </table>
      <simple-id uuid='{B874B6FD-B316-4DC6-8083-C6C2DA8D0BFE}' />
    </worksheet>
    <worksheet name='KPI - FX Rate'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_wide' name='federated.0r5iptr0hf6xd51887l1a1i116lp' />
          </datasources>
          <datasource-dependencies datasource='federated.0r5iptr0hf6xd51887l1a1i116lp'>
            <column caption='Calendar Date' datatype='date' name='[calendar_date]' role='dimension' type='ordinal' />
            <column caption='Fx Rate Usd Mxn' datatype='real' name='[fx_rate_usd_mxn]' role='measure' type='quantitative' />
            <column-instance column='[calendar_date]' derivation='Max' name='[max:calendar_date:qk]' pivot='key' type='quantitative' />
            <column-instance column='[fx_rate_usd_mxn]' derivation='Sum' name='[sum:fx_rate_usd_mxn:qk]' pivot='key' type='quantitative' />
          </datasource-dependencies>
          <filter class='quantitative' column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]' included-values='in-range'>
            <min>#2026-08-28#</min>
            <max>#2026-08-28#</max>
          </filter>
          <slices>
            <column>[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='cell'>
            <format attr='text-format' field='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:fx_rate_usd_mxn:qk]' value='*0.0,000' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Text' />
            <encodings>
              <text column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:fx_rate_usd_mxn:qk]' />
            </encodings>
            <customized-label>
              <formatted-text>
                <run fontalignment='0' fontsize='12'>FX Rate (USD/MXN)</run>
                <run>Æ&#10;</run>
                <run fontsize='26'><![CDATA[<[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:fx_rate_usd_mxn:qk]>]]></run>
              </formatted-text>
            </customized-label>
            <style>
              <style-rule element='mark'>
                <format attr='mark-labels-cull' value='true' />
                <format attr='mark-labels-show' value='true' />
              </style-rule>
            </style>
          </pane>
        </panes>
        <rows />
        <cols />
      </table>
      <simple-id uuid='{101F8536-A0EE-4722-81C7-9C9EAAE21651}' />
    </worksheet>
    <worksheet name='KPI - IGAE'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_wide' name='federated.0r5iptr0hf6xd51887l1a1i116lp' />
          </datasources>
          <datasource-dependencies datasource='federated.0r5iptr0hf6xd51887l1a1i116lp'>
            <column caption='Calendar Date' datatype='date' name='[calendar_date]' role='dimension' type='ordinal' />
            <column caption='Igae Ivf' datatype='real' name='[igae_ivf]' role='measure' type='quantitative' />
            <column-instance column='[calendar_date]' derivation='Max' name='[max:calendar_date:qk]' pivot='key' type='quantitative' />
            <column-instance column='[igae_ivf]' derivation='Sum' name='[sum:igae_ivf:qk]' pivot='key' type='quantitative' />
          </datasource-dependencies>
          <filter class='quantitative' column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]' included-values='in-range'>
            <min>#2026-08-28#</min>
            <max>#2026-08-28#</max>
          </filter>
          <slices>
            <column>[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='cell'>
            <format attr='text-format' field='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:igae_ivf:qk]' value='*0.0,0' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Text' />
            <encodings>
              <text column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:igae_ivf:qk]' />
            </encodings>
            <customized-label>
              <formatted-text>
                <run fontalignment='0' fontsize='12'>IGAE (Economic Activity Index)</run>
                <run>Æ&#10;</run>
                <run fontsize='26'><![CDATA[<[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:igae_ivf:qk]>]]></run>
              </formatted-text>
            </customized-label>
            <style>
              <style-rule element='mark'>
                <format attr='mark-labels-cull' value='true' />
                <format attr='mark-labels-show' value='true' />
              </style-rule>
            </style>
          </pane>
        </panes>
        <rows />
        <cols />
      </table>
      <simple-id uuid='{F14CED68-DC93-4530-802B-6D7521B9F92A}' />
    </worksheet>
    <worksheet name='KPI - INPC'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_wide' name='federated.0r5iptr0hf6xd51887l1a1i116lp' />
          </datasources>
          <datasource-dependencies datasource='federated.0r5iptr0hf6xd51887l1a1i116lp'>
            <column caption='Calendar Date' datatype='date' name='[calendar_date]' role='dimension' type='ordinal' />
            <column caption='Inpc General' datatype='real' name='[inpc_general]' role='measure' type='quantitative' />
            <column-instance column='[calendar_date]' derivation='Max' name='[max:calendar_date:qk]' pivot='key' type='quantitative' />
            <column-instance column='[inpc_general]' derivation='Sum' name='[sum:inpc_general:qk]' pivot='key' type='quantitative' />
          </datasource-dependencies>
          <filter class='quantitative' column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]' included-values='in-range'>
            <min>#2026-08-28#</min>
            <max>#2026-08-28#</max>
          </filter>
          <slices>
            <column>[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='cell'>
            <format attr='text-format' field='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:inpc_general:qk]' value='*0.0,0' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Text' />
            <encodings>
              <text column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:inpc_general:qk]' />
            </encodings>
            <customized-label>
              <formatted-text>
                <run fontalignment='0' fontsize='12'>INPC (General Price Index)</run>
                <run>Æ&#10;</run>
                <run fontsize='26'><![CDATA[<[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:inpc_general:qk]>]]></run>
              </formatted-text>
            </customized-label>
            <style>
              <style-rule element='mark'>
                <format attr='mark-labels-cull' value='true' />
                <format attr='mark-labels-show' value='true' />
              </style-rule>
            </style>
          </pane>
        </panes>
        <rows />
        <cols />
      </table>
      <simple-id uuid='{1A1D1C2C-412E-49DC-B2B9-350E97ED5FF9}' />
    </worksheet>
    <worksheet name='KPI - Unemployment Rate'>
      <table>
        <view>
          <datasources>
            <datasource caption='economic_pulse_indicators_wide' name='federated.0r5iptr0hf6xd51887l1a1i116lp' />
          </datasources>
          <datasource-dependencies datasource='federated.0r5iptr0hf6xd51887l1a1i116lp'>
            <column caption='Calendar Date' datatype='date' name='[calendar_date]' role='dimension' type='ordinal' />
            <column caption='Desempleo Tasa' datatype='real' name='[desempleo_tasa]' role='measure' type='quantitative' />
            <column-instance column='[calendar_date]' derivation='Max' name='[max:calendar_date:qk]' pivot='key' type='quantitative' />
            <column-instance column='[desempleo_tasa]' derivation='Sum' name='[sum:desempleo_tasa:qk]' pivot='key' type='quantitative' />
          </datasource-dependencies>
          <filter class='quantitative' column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]' included-values='in-range'>
            <min>#2026-08-28#</min>
            <max>#2026-08-28#</max>
          </filter>
          <slices>
            <column>[federated.0r5iptr0hf6xd51887l1a1i116lp].[max:calendar_date:qk]</column>
          </slices>
          <aggregation value='true' />
        </view>
        <style>
          <style-rule element='cell'>
            <format attr='text-format' field='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:desempleo_tasa:qk]' value='*0.0,0' />
          </style-rule>
        </style>
        <panes>
          <pane selection-relaxation-option='selection-relaxation-allow'>
            <view>
              <breakdown value='auto' />
            </view>
            <mark class='Text' />
            <encodings>
              <text column='[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:desempleo_tasa:qk]' />
            </encodings>
            <customized-label>
              <formatted-text>
                <run fontalignment='0' fontsize='12'>Unemployment Rate (%)</run>
                <run>Æ&#10;</run>
                <run fontsize='26'><![CDATA[<[federated.0r5iptr0hf6xd51887l1a1i116lp].[sum:desempleo_tasa:qk]>%]]></run>
              </formatted-text>
            </customized-label>
            <style>
              <style-rule element='mark'>
                <format attr='mark-labels-cull' value='true' />
                <format attr='mark-labels-show' value='true' />
              </style-rule>
            </style>
          </pane>
        </panes>
        <rows />
        <cols />
      </table>
      <simple-id uuid='{3E32C9F1-8C84-4B3A-AB3A-4D6EC0EE130C}' />
    </worksheet>
  </worksheets>
  <dashboards>
    <dashboard enable-sort-zone-taborder='true' name='Economic Pulse— México'>
      <style />
      <size minheight='560' minwidth='420' sizing-mode='range' />
      <zones>
        <zone h='100000' id='6' type-v2='layout-basic' w='100000' x='0' y='0'>
          <zone h='98120' id='20' param='horz' type-v2='layout-flow' w='98984' x='508' y='940'>
            <zone h='98120' id='18' type-v2='layout-basic' w='98984' x='508' y='940'>
              <zone h='98120' id='14' param='horz' type-v2='layout-flow' w='98984' x='508' y='940'>
                <zone h='98120' id='12' type-v2='layout-basic' w='98984' x='508' y='940'>
                  <zone h='12691' id='5' layout-strategy-id='distribute-evenly' param='horz' type-v2='layout-flow' w='98984' x='508' y='940'>
                    <zone h='12691' id='7' name='KPI - FX Rate' show-title='false' w='24746' x='508' y='940'>
                      <layout-cache fixed-size-h='161' type-h='fixed' type-w='fixed' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='12691' id='8' name='KPI - INPC' show-title='false' w='24746' x='25254' y='940'>
                      <layout-cache type-h='fixed' type-w='fixed' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='12691' id='9' name='KPI - IGAE' show-title='false' w='24746' x='50000' y='940'>
                      <layout-cache type-h='fixed' type-w='fixed' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='12691' id='10' name='KPI - Unemployment Rate' show-title='false' w='24746' x='74746' y='940'>
                      <layout-cache type-h='fixed' type-w='fixed' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                  </zone>
                  <zone h='45006' id='25' param='horz' type-v2='layout-flow' w='98984' x='508' y='54054'>
                    <zone h='45006' id='21' name='Employment— rate' w='49042' x='508' y='54054'>
                      <layout-cache cell-count-w='22' minheight='230' non-cell-size-w='59' type-h='scalable' type-w='cell' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='45006' id='22' name='Employment — headcount' w='49930' x='49550' y='54054'>
                      <layout-cache cell-count-w='22' non-cell-size-w='73' type-h='fixed' type-w='cell' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                  </zone>
                  <zone h='40423' id='26' layout-strategy-id='distribute-evenly' param='horz' type-v2='layout-flow' w='98984' x='508' y='13631'>
                    <zone h='40423' id='11' name='FX rate trend' w='32995' x='508' y='13631'>
                      <layout-cache minwidth='238' type-h='fixed' type-w='scalable' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='40423' id='16' name='Inflation (INPC) YoY %' w='32994' x='33503' y='13631'>
                      <layout-cache minwidth='164' type-h='fixed' type-w='scalable' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                    <zone h='40423' id='17' name='IGAE trend' w='32995' x='66497' y='13631'>
                      <layout-cache type-h='fixed' type-w='cell' />
                      <zone-style>
                        <format attr='border-color' value='#000000' />
                        <format attr='border-style' value='none' />
                        <format attr='border-width' value='0' />
                        <format attr='margin' value='4' />
                      </zone-style>
                    </zone>
                  </zone>
                </zone>
              </zone>
            </zone>
          </zone>
          <zone-style>
            <format attr='border-color' value='#000000' />
            <format attr='border-style' value='none' />
            <format attr='border-width' value='0' />
            <format attr='margin' value='8' />
          </zone-style>
        </zone>
      </zones>
      <devicelayouts>
        <devicelayout auto-generated='true' name='Phone'>
          <size maxheight='1500' minheight='1500' sizing-mode='vscroll' />
          <zones>
            <zone h='100000' id='30' type-v2='layout-basic' w='100000' x='0' y='0'>
              <zone h='98120' id='29' param='vert' type-v2='layout-flow' w='98984' x='508' y='940'>
                <zone fixed-size='63' h='12691' id='7' is-fixed='true' name='KPI - FX Rate' show-title='false' w='24746' x='508' y='940'>
                  <layout-cache fixed-size-h='161' type-h='fixed' type-w='fixed' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='63' h='12691' id='8' is-fixed='true' name='KPI - INPC' show-title='false' w='24746' x='25254' y='940'>
                  <layout-cache type-h='fixed' type-w='fixed' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='63' h='12691' id='9' is-fixed='true' name='KPI - IGAE' show-title='false' w='24746' x='50000' y='940'>
                  <layout-cache type-h='fixed' type-w='fixed' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='63' h='12691' id='10' is-fixed='true' name='KPI - Unemployment Rate' show-title='false' w='24746' x='74746' y='940'>
                  <layout-cache type-h='fixed' type-w='fixed' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='219' h='40423' id='11' is-fixed='true' name='FX rate trend' w='32995' x='508' y='13631'>
                  <layout-cache minwidth='238' type-h='fixed' type-w='scalable' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='219' h='40423' id='16' is-fixed='true' name='Inflation (INPC) YoY %' w='32994' x='33503' y='13631'>
                  <layout-cache minwidth='164' type-h='fixed' type-w='scalable' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='219' h='40423' id='17' is-fixed='true' name='IGAE trend' w='32995' x='66497' y='13631'>
                  <layout-cache type-h='fixed' type-w='cell' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='244' h='45006' id='21' is-fixed='true' name='Employment— rate' w='49042' x='508' y='54054'>
                  <layout-cache cell-count-w='22' minheight='230' non-cell-size-w='59' type-h='scalable' type-w='cell' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
                <zone fixed-size='244' h='45006' id='22' is-fixed='true' name='Employment — headcount' w='49930' x='49550' y='54054'>
                  <layout-cache cell-count-w='22' non-cell-size-w='73' type-h='fixed' type-w='cell' />
                  <zone-style>
                    <format attr='border-color' value='#000000' />
                    <format attr='border-style' value='none' />
                    <format attr='border-width' value='0' />
                    <format attr='margin' value='4' />
                    <format attr='padding' value='0' />
                  </zone-style>
                </zone>
              </zone>
              <zone-style>
                <format attr='border-color' value='#000000' />
                <format attr='border-style' value='none' />
                <format attr='border-width' value='0' />
                <format attr='margin' value='8' />
              </zone-style>
            </zone>
          </zones>
        </devicelayout>
      </devicelayouts>
      <simple-id uuid='{C61E1D8D-EF14-4903-A979-C8847C2ACCA1}' />
    </dashboard>
  </dashboards>
  <windows saved-dpi-scale-factor='1.25' source-height='63'>
    <window class='worksheet' name='FX rate trend'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
          <strip size='2147483647'>
            <card type='title' />
          </strip>
        </edge>
        <edge name='right'>
          <strip size='160'>
            <card pane-specification-id='1' param='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' type='color' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{E048701B-2FF5-46DD-84B6-411CDB45A51A}' />
    </window>
    <window class='worksheet' name='Inflation (INPC) YoY %'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
          <strip size='2147483647'>
            <card type='title' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{296462FA-0CD2-48E4-BAB5-0F67C9FB804C}' />
    </window>
    <window class='worksheet' name='IGAE trend'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
          <strip size='2147483647'>
            <card type='title' />
          </strip>
        </edge>
        <edge name='right'>
          <strip size='160'>
            <card pane-specification-id='1' param='[federated.03yfox21oi25ew1dxjv8v05n4pjv].[:Measure Names]' type='color' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{C8D5F24D-7D0C-4C1F-BF57-955D9233B7A8}' />
    </window>
    <window class='worksheet' name='Employment— rate'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
          <strip size='2147483647'>
            <card type='title' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{96D3CAA2-1380-4E95-91B3-8DBA6C5BD6A3}' />
    </window>
    <window class='worksheet' name='Employment — headcount'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
          <strip size='2147483647'>
            <card type='title' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:indicator_label:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[none:source:nk]</field>
            <field>[federated.03yfox21oi25ew1dxjv8v05n4pjv].[yr:obs_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{727F45B9-C96F-4A45-A5DB-5A9249EADAEE}' />
    </window>
    <window class='worksheet' name='KPI - FX Rate'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.0r5iptr0hf6xd51887l1a1i116lp].[yr:calendar_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{A0366005-3F66-4F7F-B960-6A3EC897B5FC}' />
    </window>
    <window class='worksheet' name='KPI - INPC'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.0r5iptr0hf6xd51887l1a1i116lp].[yr:calendar_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{493135A0-034D-44DD-9874-E45733B05A27}' />
    </window>
    <window class='worksheet' name='KPI - IGAE'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.0r5iptr0hf6xd51887l1a1i116lp].[yr:calendar_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{B1AA44ED-A9E2-42DF-963C-8068EAC8820F}' />
    </window>
    <window class='worksheet' name='KPI - Unemployment Rate'>
      <cards>
        <edge name='left'>
          <strip size='160'>
            <card type='pages' />
            <card type='filters' />
            <card type='marks' />
          </strip>
        </edge>
        <edge name='top'>
          <strip size='2147483647'>
            <card type='columns' />
          </strip>
          <strip size='2147483647'>
            <card type='rows' />
          </strip>
        </edge>
      </cards>
      <viewpoint>
        <highlight>
          <color-one-way>
            <field>[federated.0r5iptr0hf6xd51887l1a1i116lp].[yr:calendar_date:ok]</field>
          </color-one-way>
        </highlight>
      </viewpoint>
      <simple-id uuid='{B564B5D9-A8AC-4441-8D5E-3043D2E8F3EF}' />
    </window>
    <window class='dashboard' maximized='true' name='Economic Pulse— México'>
      <viewpoints>
        <viewpoint name='Employment — headcount'>
          <zoom type='entire-view' />
        </viewpoint>
        <viewpoint name='Employment— rate'>
          <zoom type='entire-view' />
        </viewpoint>
        <viewpoint name='FX rate trend'>
          <zoom type='entire-view' />
        </viewpoint>
        <viewpoint name='IGAE trend'>
          <zoom type='entire-view' />
        </viewpoint>
        <viewpoint name='Inflation (INPC) YoY %'>
          <zoom type='entire-view' />
        </viewpoint>
        <viewpoint name='KPI - FX Rate' />
        <viewpoint name='KPI - IGAE' />
        <viewpoint name='KPI - INPC' />
        <viewpoint name='KPI - Unemployment Rate' />
      </viewpoints>
      <active id='-1' />
      <simple-id uuid='{1F4F7F57-6097-47C7-9F49-61B35793C752}' />
    </window>
  </windows>
  <thumbnails>
    <thumbnail height='192' name='Economic Pulse— México' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAgAElEQVR4nO29aXRc13Wg+92aC1WFeZ4IgAAJkuA8idRk0bI1x1HaiWK/uJPOcnc6z+lO
      Ov3jPcXLie3Y8cqLs9xO7GRlcNxqqy21rcGUJZoSKYkSJ4EEAYIAMRBzYagBBaCAmqtu3fN+
      gCgSLMwEQIC431q1gDrT3XXu3fdMe58jCSEEKiobFM29FkBF5V6iKoDKhmbFFWCxPazFpBdC
      LLr8+5X1Whf3WuYkBejv7+fixYvY7XY8Hg9CCIaHhwHo7OyktraWiYmJaXni8fiMPyQcDtPU
      1ITH4wHA4/EgyzKXLl2iubmZQCDAxYsX6evrQwhBMBiktbWV3t7eRPrh4WFcLhdCCNxuN319
      fUSjUXw+H6FQiMbGxnteicvN2NgYiqLQ2dmJEILR0dFEXXV0dCCEoKenh4sXLyLLMkII6uvr
      URSFGzducP78eUKh0JKuPXUvZFmmtraW5ubmafXrdrtnzasoCl6vd8bw/v7+GfO0t7fj8/mW
      JOtyoP3617/+9dsDLl++zKOPPkpqairnzp1jbGwMi8WCzWbjypUrPPjgg5w7d47MzEwaGxsx
      Go2cOHGCWCyG1Wqlvr4em82GyWSivr6eLVu2UFdXR0VFBZ988gmBQIDc3Fzy8vJwOp2kpqYy
      NjZGMBjE5XJhNpu5cOECNTU1XLp0CZ/Ph9vtZnx8nEgkgt1ux+l0IssyRqMRu91OaWkpGs39
      05u7evUqBQUFHD9+nIKCAm7cuIFWq8VsNuP1evH5fIyMjHDgwAEkSSIUCuF2u4lEIsiyzM6d
      O1EUhYGBAXp7e8nMzKSlpYXe3l4KCgpobGwkHA6j0WgYGhoiFArR0tKCEIL+/n5KSkoIBoMM
      Dw+TkZHB0NAQsVgMj8eDyWQC4MqVK9hsNm7cuMHExASZmZnEYjFaW1sBaGxsxGKxEA6HaWho
      YHR0FJ1OR1tbG5mZmfh8Pvx+P/n5+dTX11NaWnpP6jrpqQmFQly8eJHh4WF27txJXV0dBQUF
      AHi9Xt555x1ycnLQ6/Xo9XouXrxIaWkpO3fu5OLFi2RkZHDhwgUAgsEgVqt1WvlVVVW0t7fT
      0NCQeLPU1NQwNDSEJEmYzWYKCwvp7+/HYDAgSRKHDh3ixIkTVFdXYzKZMBgMibdGVlYWo6Oj
      K1pJ94pt27bR1tYGTHYVLl++jMfjwefzUVVVhV6vR6fT4XQ6KSgowO12U1ZWxtmzZxkYGKCh
      oQGfz8e1a9cIh8Po9XoaGxsJBALU19fT3NzM+Pg42dnZGI1GLl68OO36TU1NtLe3Y7FYOHv2
      LGVlZbS1tXHp0iUOHDiA1+vF7XbT0NCAoiiJfC0tLRw9epS2tjYaGho4fPgwer2e2tpadDod
      zc3NiZbfaDQSi8VWtV5vJ0kBzGYzR44cITs7m6amJh5++GG6u7sBSE9PZ9euXQSDQWpra6ms
      rESv1wMkmlxFUaiqqkqUN1UxgUCAaDRKKBTiwIEDyLJMLBYjGAxSV1fHpk2byMjIAGDTpk2c
      OXMmUc7Fixd54YUXqK+vB+DAgQNcuXIlcd2pt9L9hiRJVFRU0NXVhSRJHDx4kKeeeorNmzfT
      1NTE+Pg4sVgMs9lMKBSiqKiI69evU1VVRTgcRpZlsrOzycrKwmKxoNFo0Gq1RKNRtmzZgtFo
      ZOvWrVy7do28vDzMZvO06+/cuZMnn3ySzMxMtm/fnmhlJUkiHA4jhEiUJUlSIp/ZbEaSJCRJ
      QlEUAoEAsViMeDyOxWKhoKAAnU6H3++/591X6c51gPHxcdLS0pBlmVAohNVqZWxsjMzMTLxe
      L+np6YyMjKDVarHb7ZSUlGA2m+nu7qayspL29naKiorIzMykp6cHgIKCApqamti8eTNWq5XW
      1lZyc3PJyMigo6ODwsJCfD4fRqORrKwsFEXB7/eTmZlJIBAgHo+Tnp6eaEZtNluieT579iyP
      PfbYtBuw3vH5fFitVvx+P1arFYfDQWZmJkBC2Z1OJx6Ph23btgFw7tw5HnnkEQYHBxkbG6O6
      uhqv14vL5aKyshJFURBCYDKZ6OnpQafTkZOTg8lkQpZlWltbKSoqwmQyYbVaURSFYDCIzWZD
      lmUikQgWi4WJiQlSUlJoaWmhsrISl8uFoihUVFQkxnGKomCz2fD7/ciyzMDAAJs2bUJRFOx2
      O2VlZej1+sQL0ePxUFNTc0/qOkkBlhMhBA6Hg8LCwnnTejweMjMzF9WXj0ajTExMkJ2dfTdi
      3he4XC6ysrLQ6XT3WpRF4XA4yM/Pv2cvsBVVABWVtc79M3WiorIEVAVQ2dAsqMPo8XhwuVzT
      wlJTUykpKUlKqygKY2NjxGIx8vPzE2Fer5eOjg7i8TibN28mJycHjUaDLMu4XC56e3vJzc2l
      vLx8xn5sLBajs7OTsbExsrOzqaysTIwXYrFYYnCl1WqT5Ll+/Xpi7WFsbIyhoaFpaSwWC2Vl
      ZQupijVJMBhMTDgApKSkUF5eDoAsy3R2djI6OkpWVhZVVVVJ46xwOExXV1fie2ZmZmLqe+p+
      yrJMXl5eIs3U2kEkEqGqqors7OykfryiKIyPj9PW1oYkSdTU1CRNi7vdbhwOB7t3716eylgk
      C2oBJElCo9EkPo2Njbz//vtJ6YaGhvjGN77B3/7t33LmzJlEuMvl4syZM5SUlFBZWckbb7zB
      O++8A8A//dM/0dzczNatW+nv7+cHP/hB0tSYLMv85V/+JaFQiH379hEKhYhEIgCcOnWKr371
      q3zrW98iHA5PyyeE4NSpU7zxxhucPXt2xt/S2dnJW2+9tfAaW4OcPXuWpqamxG+aehBlWebb
      3/42fr+fffv2EY1GCQaDSfkvXbpEXV1dUv7BwUG+/vWv893vfpePPvookX54eJgXX3wxoVCv
      vPIKp06dSir3xIkTvP3225SVlVFUVMQ3vvGNaS9Sn8/HP/zDP/DSSy8td5UsHLFI4vG4+NrX
      via8Xm9S3ODgoBgdHRX19fXilVdembWMnp4e8Xd/93dCCCHC4XAiPBaLia9+9atCUZRp6S9c
      uCBee+21GctqaWkR8XhcfPOb3xR+v39anMfjEX/1V38lLl26JH7+858n5VUURXzrW98SDodj
      9h+8DvjRj34kurq6ksJra2vFq6++Om/+n/zkJ6K1tTUpfOp+1tXViZ/97GeJ8Lq6umn3d2ho
      SHz3u99Nyn/7vRVCiFdffVVcuXJFCDFZ9z/84Q/FjRs3xIsvvjivjCvFoscAzc3NlJSUkJaW
      lhRXWFiYWMy6E1mW8fv9NDc38/LLL/O5z30OAKPROKWI/OxnP+PQoUNJTWljYyNVVVWcOnWK
      48eP09/fn2gltm3bNuPUqaIo/PjHP+b3fu/3Zp1i6+7uJiUlJdFVW68MDAzQ3d3NpUuXGBkZ
      SdRNU1MTlZWVnD59muPHj2O322dceJoymaitrcXr9SbSzHY/a2pq6O7u5uLFi7S2tvLyyy/z
      3HPPJaW7/d52d3dz5cqVxLpFY2MjVquVzZs3L1s9LIVFKYCiKLzxxhv8xm/8xqIv1NnZyXe+
      8x1+8IMfUF5ePu2hC4VC/PCHP8RsNs9YkePj45w6dYrU1FSKi4v53ve+lzARmAkhBBcuXGDz
      5s2JvuxMaV577TU+//nPL/q3rDWee+45ZFmmv7+f73//+/z0pz9FCMH4+DinT5/GYrFQXFzM
      3//939Pc3JyU/+mnn0aSJAYHB/nrv/7rhCnLbOj1esrKyqitreXChQtIkkROTs6MaePxOMeP
      H+ell17ixRdfTKxav/XWW7zwwgvL8vvvhkWtmrS3tyeW1hdLdXU13/72txFCcP78ef7lX/6F
      r3zlK/h8Pr797W/z/PPPz/j2h8kB95NPPpkY2OXk5PCLX/wi8Ta5k0gkwj//8z/z7LPP8vrr
      r9PX18fIyAglJSUcPnwYIGGdWFxcvOjfstbYu3dv4v/nn3+eP/uzPyMUCpGWlsbDDz/Mli1b
      gMl6e/PNN9m5c+e0/Lt27WLXrl0APPnkk3zzm9/k6NGjs7acZ86cwWKx8Md//MdIkoTb7eYf
      //EfefHFF6flicfjfP/736e4uJi/+Iu/SLTUr776KlqtlrfffjthgPfmm2/yxBNPkJKSsqx1
      Mx8LVgAhBK+//jpf/vKXF32ReDyeGFxJksT+/fs5efIkAD/+8Y954YUXpt3EO9m7dy/nz5+n
      rKwMSZKIRqNJdiu3o9fr+drXvpZoyrVaLSaTKWFxePvbf72bUCiKQiwWS3Q3gERd79q1iwsX
      LlBVVYUkScRisSS7KSEEkUgkES6ESJpJu5ORkRFyc3MTdWez2WY0g/7www/Jz8/nt37rt6aF
      P/XUUwmTeiEEH330ETU1NQm7stVkwQowW3/5l7/8JRaLhWPHjlFbW4vdbmdgYACXy4VWq2XX
      rl243W5qa2vZtWsXWq2W8+fPc+zYMRRFoaGhAbPZnDB0S09P5/nnn6euro5r167x5S9/mYMH
      D3Lq1Cl+9rOfkZuby8mTJ/mTP/kTYrEYb731Foqi0NPTwy9+8QuMRiPPPffcNIO8iYkJZFlO
      dIecTifBYJCKiorlqMN7Sjwe52/+5m8oKyujoKCAK1euUFNTg9lsZt++fZw6dYpXX32V/Px8
      Tp06xR/+4R8C8K//+q8cOXKEbdu28b3vfY/CwkKKi4s5d+4czz77LJIkJe5nf39/widk9+7d
      PP7443zrW9/C6/VitVo5ffp04mVy/PhxdDodzzzzDB9//DHZ2dn86Ec/Ssh77NixaV3gKbuh
      2+/XarJgU4jx8XG0Wu20eVxZlvnzP/9zXnzxRWw2Gy6XK8m5ISsri/T0dFwuF52dncTjcaqr
      q8nLy0MIQW9vL/F4PJFer9dTWlpKIBAgGAySm5ubuFZ9fT2jo6McPnyYjIwMFEVJWKreTnl5
      +bS3WDAYJBaLJQbuPp8PIQSpqamLqKq1Szwep729HYfDwebNm9m0adO0qdCrV6/i8Xg4dOhQ
      whb/O9/5Dt/4xjfQ6/UJR5rBwUG2b98+7UXh9/unXSsrK4uMjAzC4TDXrl0jFAqxY8cOsrKy
      kCSJsbExJEkiPT0dh8NBIBCYlj8/P3/aMySEwOVy3bOJiLuyBXK73QwMDLBv377llEllhWlv
      b8dgMCTGVBsZ1RhOZUOj2gKpbGhUBVDZ0KgKoLKhURVAZUOjKoDKhkZVAJUNjaoAKhsaVQFU
      NjSqAqjcU8RdbOp7N3mnmKYAI04773/wAR9+eAanw8GYf9LtcLC/D1mZMX+CWDTKrKIIhegS
      t79ra7mOHFcXq1cTh2MoKUzEo7z/7gk6+hw0N19Pio9Fo5MPoxB0d/ckxc+EEApnPngfWQgc
      Q05EPMbVxiYEIEeDuD1eRhyTz2T9tVbkuIIQCm1NDZy/UIvP5+XDjz9JPHeOATvR+OSD2t/f
      P+15jEcCDDgmN2n2jbjwBqLAHQrQ1XyJjNLtbN++jfS0FN791UkCYw6utPSg0wAIwqEw/olx
      ojEZj9uJ2zOGosR576236He7icbihAITDA45iCuTIgRGBzn+qw8Z804QiYSJxaKM+/zEIiH6
      +weIyQpyNILfN8HAkBNFCIRQcDkdtLW1E1etNVaVhoYGhCIT8PsZGBggKsfpb7lEyJRPYW4G
      ffbJHaRH3C5cnlGEUHj3reMMDA8TjsWx2ayAwDc+yqDDhRAQDoeY8I7idI8krjNib0WXUYpe
      E6eh4RpKNMiH775Nm32YaGCE6x12OluayCraTJohzOmzdTRe+IBxrOzYWo6ks5AS9+Icn/QF
      18oTfHypGd9wHy3dThAKLscgY+N+tAYTFz/+AFlROPPxecwmHSCSzaElJJA06M1pPLCjgL//
      8S/44//yBzdj47z60r+SWbqFh48ewD7oIjDcg7PiIG6Xk77ePmx6LWc+Os+OqhLO9Azx6Qf3
      M+Edw+l04BwewWtvpnckxt4DB+i8Vkd1TQ0nT3/IthwdV5wKFbYIjomdhPqvkpJdwtj4+Crc
      cpU7iXkH+Z9vnufYkW00tvaRq3ExOm5l3DfpVK9E/PQMOom4u3FtPYLb5cLe24dlm43LdXU8
      9sBOTn58nerSdDr7nETdNzDlV+Dvv8Hez/4m+TYd11u62P3p5wA5cd3qvUe4cbWWkodu7hIh
      SWRkZpMmBO0DQ/SM+fj1B6uY8uLYvr2SK23dFBzeTm7ZDiJX3+A9h4ann/s1rn7yEVFTNmP2
      i+x69BkePrCVN157jZLq/Ri1GkDcMQYQghttzVy/3oqsCLxeH5mpJiaCkUSS1JwSnnv6s2ii
      ARxOJ8OeYby+CGVlFew/dBBNxINnNIhzxEckOGlKW1BYQkXlFrZVlSMUiceeeJrq4lTsQyMM
      DTmJRqMoQmLPgYNsqyonGArij2k4sHcXpYXr2193PbNl+262bd8OsRDlZWVs3bGbwtzJPUqD
      vnFcThcjYyO4h4NsKi9n/8EDZNpMCCEY6Gxj95FH2bnnIIGRISRdCocO7aesKIdQdNL8PRhV
      MBumOyRJGj17qwpoaLdPBigyV+sv0dLt5tijh5EQ3N4hMJkshIJTJtcSDx+qQWMtwKzX4hwL
      cnDPTh48uIOOniHyN+8iGg5xaGdFIv10BZA0HHn40xx77BFi3kHsPj2//6Xf5Mx773KzN4PJ
      ZEICnPYu0vJKyc1KB8CaoqG1pQNM2aRZ9RQXFbKp9Oa+QXojvuEhBp1uJJ0eo14HeisF2akU
      FhVTXraJO/2yRHiCto4uevoHl3j7VFaSoZ4u0gpKyc2adJrPshloaunAF5h8WRZVbKXp0jna
      mhswZ+TNWEZeugnnaDgpvKR6D44bV4kpgEbHvoMPcPSBQ5j0Wmo2F3Hi9Edcb2pgZCKMxzVE
      dt6tl6TJnILVYgEgN81MQ3Mbn1xpZfOmAkAi6879i27fIiIcCohYfPL/SCgoovLkl4DfL+KK
      EEIoIhgMCiGEUOKy6O3uEqPecRGOxERcjore3l4Rjsoi6B8X/f0DIhSJJcr2jriFw+UR4VBQ
      xCcLE5FwQPT39wtfICSikZCIynERl6MiFImKWCQkujq7xKh3ImmbFJWVJRgMCkWOiVA4Kibv
      eUjIsYgIR+Vb8Yoserq6xJh3XIQiMaHEY6Kvp0cEI7Gbz4gixjxO0dVjF3FFEaFgUChCiGg4
      JGLy5P0M+9zixOlziWsoSlwEQ5NbqYQCfhEIRUQ4FEykn0QRYyPDYmDIIWJyXLz79lsiGI3f
      io3HRCgcmfxfiQt7T5dwebxiqoTgTTmmUP0BVO4hghut1ymt2o5Jt/gZ+WhgjB5XgK0VS9/Y
      QFUAlQ2NuhCmsqFJTIMKIZIcoBfL1GmROp0ORVHuq4Pr1iqKoqAoyl0fjDF1hNJyyLOe7vuy
      doGi0SiKomAymYjFYvdkn5eNxtRZa3Ptk7SaxOPxefcVWkusmKqu9w2nVDYGK3ag1O3HZi4U
      EQtz5vV/5pPwdlLMJg5tK+DIrvk3Tx2dCNJmH+FoTfJ5BZOyCBo7nezdMvM+oQsh0HuFd7oN
      mIwGyvLT2LV5/gW6eDzODbub6rLpZ2Bd63KRjQdHOAWtwcTuyunx/Z0tGAL95O1+YsnyriTO
      gQ58URtVFfk4B+1EFQ25+QWY9Gvrzf/upS5+evpa4vt/+60j7Kmcft/WVAtw9nITxZsq+Mrn
      j/AbRzfhaDiJEPMr0tXas7zyy4/x3bZifTt1bQP8fz89SyS6NIM8u3OMDz78kB0WD1mRHl59
      5xyyLM+bb7Srjh++fILh0YlEWDga46dvn0Nr/4jIQAPHT12kseOW8VlMjvODE+18/yMfXl9g
      pmLvOfnFhUyuUoHBYESOBAiEJo9BVRQFWZbXxCcUieL1RxKfSDSWlGbNKEAwGOJk/RAlez9D
      qtVCSUkJ2cbovANz18gEFtdFvvBIGe+cT7ZSFEJh4MoJvrDZQ9jTuyiZJvMLfvZ+I9se+jV2
      HH6MB489yVcq2on7XHPmi8ZkPjhfx396pob/835jwmz3xIUbPFaTS+6n/pCjT/wG//W3HuTt
      9y8m4s/Ud3G4KovPPbyNNz9K/j1rAcfgECNjHrzjXrRaDUIoyLHJvr9Go0Gn062Jz52DcY1G
      m5xmpSppsV2gX124zmP7KzGZbm3y6s17hKsdzjnz/e/3rpJx6Is8cOgAh9z/E38wNC3+UlMP
      u3IFRw/upv6GY1EyAbTbh9HFJqbtYz+Y/zTvNs19Ov2HVzoxFu1l595DlMfbkUe6ENEgvvYP
      OPbQ/sQLIiM7jz/aNsiN5gaEonC29ipPPbybg7uq6bEP4R2fmPM694KCoioeeGAX6WnppGXm
      UFFZTV6W5V6LtSTWRAsgQmNo+s/z6IEt08J3bc7nWtfsb9ruwWHk4PjkuVd6I6EdX+Klk42J
      +HA0xptnGil84DdJKd7Fh22LsywVQjBx9U1eOLYDSXOrf1tZVsz1bueszhihcJSPLrfyxIO7
      kCSJz376Uf7txFXe+fASv350M3rj9C3ArYd/n3873UnzlYv86W4PZmsaGq2W//qZIoJX/vei
      ZL4XrOcJjxUbBM9XKUNuL+eaeomFQ7idQ3zxyAEMd0yblhblMe45hxKPo7k5tfbSrxoY9gYo
      zbViGjrPFz77ucS1tu/cyy8uvM7rH6Xy+NYUXq/z8Oi2LFLSshBCwagReCcCpKdOvq0+buwj
      L8PC1tJbB20LIRj2BvGMB+ka8GCVNeSXTN9FOiMzi0jQTzAcxWKebLEutQ5yo3+EwmwbGb4W
      ntuTgfmmUZYhtwpNyiCfdI7z9OPPJNWFzmzj3x0t4/snb/APf/rFRHjW5v1858wQf7B3gqyM
      +2Mj37XGPZsFEi2vUW7Zhrm4ENP2ErI3JZ8mr9Hq+PclHYQnPKRk5OEbcTIx2MrvfmYvY74w
      5cWb0RUXJdJLWh1/8Gv7aW9pQmm+wWY2cfShyQdOkjTsKU9nYHCQ9NQtxOMKsabXqMt9fJoC
      xEe6OPnyTxDWQjKzstj76LNJyixpNDxbEUR4+8C8BSEUms6dYGeJlVG7FqvUw54nvwIJG1eJ
      Lz55kEAojEY7c5UfPLCPijwLBkv6tOtsKS+me8CtKsAKsWgFCIfDmExGJsbH0eiM6KQ4UUVD
      qnV6sz5XCyCE4OX2dP7b7+7FYJr7RJDu3M/ReH2YZx7K49r5k/zBZ3dgKN3GzAfyQHZxJdnF
      lQA8ekfc49us9N6ohW1bOHmpk5gmg66+QeDWEZ2vXR7h2BPPUlR9YM7fUFy+hY9ahnmmYAuX
      Gm/wTEWYvGNfnjWPxWrFcscRobcjaXVkl+1ICs/PsuHyhmbIkYxQ4kRlBY2I4wuESEtLZWxs
      jMysLDTruJuykixqDCBHgtRdvYaIR3G4RtDpNdj7h3AO9BO/I+1cD49nbBzJaENvnH/1cnt5
      Ps3dLjr7h6kdyUJfsn8xIk9Dk7uD/3XdQjAc4/ylqzzx1FNUaXtR5MnpUUURtPS6yS7ZMm8X
      LrVoC5c7vQRCUY5/1ETawS+sSF+4Jk/L1mjdgtI6+7vpHZrcsl5vNDDi6Ccqx7APuJddrvuF
      RbUAOmPKpAOMpCPNaqCjswuLyYKBOLIQCEUhHo8nludn43qXg+qy3GkHY8xGekYG414vL5+s
      5/ceryEeV4DFL7IBSBot2WkmXjpRx0Nb09HbcthdoKFvYIiS4iI84wEs2hg6k2XeeX6DyYJB
      ivHKqas8Up2OPiV9QWsDi8WUmsVFp5nyWcqOx+OJ+ffc/AICrglyMrMZ7OsmEtOytaaQQbuq
      ALOxKAWIhPyEQiGGR0cJh6Kkp2ehVcJE4gYMkkTs5rzrlGHWbAZaZucnbD/wmQUbcP16VZiG
      YYlNN88Iuxt2bc7D/slxPvMHf4JOpyNWeJT69jF+p2wT4eFeHqk0L1iuw5tTOX/5Il/6o39/
      18Zos2Ky0jEizVn+pAGahMM9TMgfJWjQoNGbKCvKoa+rl7yiTSsj233Aou6a0Wxl966b/eXs
      2XrhcxOPywyNBjl08+ijhbD/0GH2afTL0sU4ur2AGstR9NZJ39bNZUX8ovYTYA+9Pd0cqln4
      qSmfqsnn4YyhaQPX5Uar1SL0VuJxGe0sA+hJJApKypky9si9eeRQatp02dz2G5yvb0MAn33q
      aazGFZsHWRes+kLYkHuMfsM2JK1hwWVpsyrRZSzPW8ycUUjenicT3y22dAxKCJ8/wOkuMORu
      mSP3HXLlbcew73dgBQeYkiSxOS1KeGJk/sQLoOV6O5sqN5ObEqdrYGxZylzPrJgCzGYT3tzl
      pKZi7ez0IGm0/MfKXuxdbeTadOiMq3tO7UJ4vHAMOTD3yvNC2bVvL33tLYzGUthctHIt13ph
      1T0XnAM97FyAJeVq4sx7gh+e6mdP5cK7ZavJdd0+rg4tbeB/J9ca6tl56CFK0yU6B5anVVnP
      rFgHMB6PJwZupy9ObneXl5nKYfEJ2ZnJq6H3krLSIjaFXudoVfW9FmVG8rIz6ej3LEtZNTt3
      Une9GSUueGR/1pxpFSVOa1s7uRaJUEoppTnr095nLlasBbjdK6i8OA9J0tDU7cZR8TvT7GrW
      AhZbGlnFlWiz5vc9uBfkpRlxepJPYl8Kvd1duJwORt1DDA7PbWjnHXZwrbGR1l4PmWmmOdOu
      V1ZlCmBzSS6bS9Zm9wImxwG//5tPIGnXpgtnXnY6T+neB47ddVmGlDQe/VQl2liI0Dxj98y8
      YjIzM8i3KgyNhtiSP7mS7RrsJkIapUVZeD0uHG4PJZursRrX1ottIaxKF2g9oLEubVp3NZC0
      On41Wk0VApL20Fscu/YfBFjQtuL+MRcjwx4y8/exP+9W9ye3IJfOjsnWw+sLUb2tnL6+Ycwl
      OSiKctdbli8Xd85EKko8abFyjidUMDE+gTElBeMSnNvXk2P0WkeSNHi1OQQDflIstrsu7xc/
      fxmfL0TUmMmXfvvfYZjlVl2+3MjRfVWMmXKm2RK5XU6cbj+5BRa0yHR39pKSuQLGSNYAABZV
      SURBVClxz9fKvZ/NIeZ2ZlWAUXsLb5xoonB7AU8/cqdZmcpqIkkS2WkpjIyHlkUBMjKyQBsh
      r6ho9jMdgKLCLOrbehFikLL8XyMjZfJxycktJzt38gFLtaUiy3F0urXx0C+WWRUgNW8Thfmd
      pKYsba54vXWB1jrbc0Hxu4G7H0ul2qxEMbB1+07m6rZvqdlPeeU2gjGBzXwroeaON7xev37v
      86yzQEositDr6LzRkQiTI0HqG5sRikx7awt9g076ejpo70w+EWStNIP3CzvyNMQm5nYPdfZ3
      YXd6GHYM0NLahndshJbrLYxMBJPSKoqCmPP9D6Bw8levc/aXb3PD4bsL6dcu86qu1Xpr8KM1
      mLGmGIiGfdgyComGPIAJmzZOWAi4zRp0IZaeKgtnRFfC+f4+yvZMH8Tdbg2ak5tHj2sCJS5T
      VphDW+cQO/dVM9jrIit1coU75B/HH4ow4vEgxHwDaomS4jJ6B/335RoAzKIAihLlgw/OEJHB
      lnlr1TYaDuBwOEhLTWVk2IPOYISYlwlFQ74kId9mDap2gZaXgtws3BMdM9bplDXokGMIp8tH
      foaVvkE/GWkpdHV0Ybbe8nhru1bH8HgARWsm02ZMKms6Eh0dnUz4wrz2i3f4vz7/a2jvM7+a
      GZ9QSdLz0JF9/Pj10+RpblWSwWThkYcfASA3d/qhB3fWi9oFWl4sKSb0geTD626nYFMVBfPY
      DO49+mn2CAFCIa4INPM80TU7dzMeUMjOy7rLCdi1ycwKwOSU0Z5du/B4b+2ksBhzZLUFWF60
      Wi1/8uRcT7e0YKPUM++9zfCYD2NaAc8++dicb/VrjQ1YM/Kp3rUHzX2oAbM8oYKGpnZCMYkH
      Dh5YUsFqC7C8SJKErmJ5pqP9gSCSAhqiROKQMsd7yma1oayRha2VYJZZIImqqiqEHOJX751e
      XYlUVpzCgjyMVhtHHnx0zocfQEQm6B9yEozen5Mas7YAY74Qxz77NHrt0uzl1C7Q2sU9Mk5N
      zU4sC/AGq9i+l1hrB3Hl/lSAmZ9uScPW6uolP/ygdoHWKqMeD0ad4OzZs3iD0XnT9/X2oLfY
      sJkW7sG3nlBf0RsMg8HAtp37Kd8qk26Z+6Fuaailo9dJRcXC/aTXG6o16AbD3tVCa/fk2csP
      Z+ZjNsx+j4zWTP7vP/oK444+5CWc97AeWBWHGJW1g1anQ39z6/D5dotz2ru43tbB5UuXEqe7
      32+sn9PMVJaFrTv3oSOGQSMYm+cAjqPHPkOKJs6uo49TknlrF7/ernbaOroRQuBxObD3DxCO
      rU8FUbtAGw6JtLRU/KEY1pS53RwlSUvl1m1J4UJrwKyTUATElThyJEhUVtBruJ8cYuZACDzD
      brTGFPTECMW15GSmTUuidoFWnwnvKGEZMmwmXCM+igryklaH+zuaGfT4yUyzsFTvsnDAjyy0
      +H0TmIxGAgEfE+NBUvMnn4G1cu/vyiFmLkQ8yojXT3l5Bn09brQoZNzcvlsIMe2jsrLcXtcu
      9zDFpWXY7XbSrCZGfCGyU6dvQNzZ0YPNrNDS7ebgg0t7/1Vv34FASowhbOlZ6+ps4NtZWg1o
      9GRn2Ghr78BqtqBHIg6Im82fctMser1WynriVpdDkJebw42WNsxpNkxGAwE5uV9++JFP4Z3w
      s3svSz7VUZI009qO9Xyfl9YCiDg+n5+c3Hy08TARRYtRkojerAitVosQYs00hfczUy8cSZLw
      +/ykZWeTZTPi8vop25TsPZZiTSXFqh62McWSFECj1VNWUTF/QpVVRKKwpDTxzZaRPUdalSnW
      zCmRKir3glXfHFdFZS2xYk+pOgOksh5QFUBlQ6N2gVQ2NGoLoLKhURVAZUNz1wrgGOijp28g
      uWC1C7TqOAb66LEPrvh1JsaGcY94EUA8Fqa3r3/dOs7f5VMaJxyV0Mdj3Olcp7YAq83NeyFH
      k+7FcuMa8eIbG0YIgd0+QG6miX7H+PwZ1yB3aa8sEYuFkYVAw/Tjq1UFWG0kYtEwMmLFnTw0
      kgaNBIoiEEgYjQaUsdkPRl/L3KUCaCgpLiAmNOhg2ptH7QKtNhpKSm7di5Uk1ZpCVNESCvop
      zM+hp3+EsvKyFb7qypCoKyEEfr9/SYVIKPh8PmRZRlEUYrEYsVgM/RIO1hBCLOlA7KXkW81r
      LTXffHmmNiOecvSYuheLxWKxLPillZNXMO175ebUhCxryQQmP9PC0R1Fie/pFkPSps2SWMa+
      SjQaRVEUTCYT8Xh8SdagS8k3ZRG52HyrKeNS882XR5ZlYrEYZrN51jSryVLrZiWZS6Y15xS/
      lHySJC0p32rKuNR8a+1hmo+12PWdS6YVkVYocfr7eglGFjcwCgUmGBpyEIsvvBn1j48QjCr4
      x0cZdA4vTD6hMDzsAaHgdgwxNr6wLkPQP469f5BYLEJvb9+C5fS4hnB7xvB5xxhyuhc0QRCP
      Rejr7SUQjuIeGsA7jwP7WkGSIBIOEonGkGNRQuEIQonj8wcQAuJyDHkR93cpRCNhwpEocTlG
      MBQGJrv3QghCwSDR2C2/4BUZL02MODDYshgaHKByEZsquZ0uUjJz0C5iG2Kfu49IphV5bBQ9
      ECWH+fYwi0cj9A4MkJ1hxeP1UbZA23lJo0cjB+no6KGkNJ+BwWHKS/PmzZdiTaW3rx+dTiI3
      v2je9Devhs2WwuBALzqtBSXoIN1WucC89w4hYHR0lBGvH6NWEItBQXEegXEPE8ECfM4WTDnV
      lBWkzV/YEhkbHWV4xIvJqEWWFXLy8oiGvAy7BAFZR8WmfAw3j3VamRZAKGh1+kW7XOcVFiJ7
      nTjHQgvOk5WZCYCEhBaJhbxbdEYzadYU0OgpKsiju6t7QdeaGPOgSckk1WxAp9cjFjTgEwwO
      2Ckpq6C4qAhnby8hZf4WQNJoEfE4QomjkbRI62h3/lgkTE5uHjq9mcwUE0KrwR/RoIuNEFG0
      BALJRzYtJ3E5QkZOLlqtgdxUG3EJvD6ZgsICbCYYHLp11NSKtABpWQXY7f3k5BcuKl8kFCQo
      TJQu+FRyBYc3gqzzkJVuwx9VWEjOSNCPElfwjHkJ+SbIzc+fPxOgCAgHfOTl5+IYdFFYMs9p
      FDdl1KDDOzaGSScwpmdgXkALF40EGfeHyM0vITwxij51vXh4yXi9fjJNqRh0MBED4/AwBp0W
      a1Yh1RnpTERW8kDyOKOjE6RmmTAZdQwHI1jkKDq9jmAoTDwuk5JyyyV0xWaBVFaHtTYLtN5Y
      e0N2FZVVRFUAlQ3NfacASjTAJ7WXGPbOPbUZ9A7T0HwDIRSuN16h2z7E4GCyJWVHyzXau/qY
      6iiKuEwgGF4J0VVWiUgkghCCSCRy/50PEJ9w0O9V6D31Hod3b6PdPkxBdhp5GRY0mZtw3ajH
      MRYG3wDa4gN4eptxR8zkj9tpaO3Ckl5EQZaZqNbKwT07aG7toDjHQn0ghNfVR2a6jbNXe3ni
      wRrsjlEeeuRhzEvcYErl3tBef4GQxoQhLf/+awEATCYTOo2GIecQAz09WI1Rfn66nkyrHrtr
      lCxdCI0lm6rKChRFwWA0YtTrScvKx6QEiSIxODiEAuj0elJMRoZdDiLhACPBOFWVlbQ0XSU4
      7mUivNLGxyrLzc7DD3L16nWyogP3XwugteZhY4i9Dz1K1OvAaM0jMzuditIIOkli744tDI1F
      2F+UiSFFR0raTpwNdcjWfEoLdIRIIcOooDemIQHlJfnIhjSOVqbT1mVnU0Ulg73dFFcfo9vu
      JPU+PTrofkbSGDh69BD55UUbYxo0HAygNZrv6syztYo6DXp33HctwEyYUiz3WgSVNcqyKoBO
      p1M9wVYZjUazJL8LlUmWtQukorLeuP86xSoqi0BVAJUNjaoAKhsaVQFUNjTTFKCrqZaXXn6F
      V155he5Bz4IKaLn8Mc6J5d4TRsHhdC05d8Q/yqgvsozyqNyvTJsGHXEN8NhzX6D0prfajZZG
      3B4vRouNSMBHVlE5ZdlmGlq6iESiHDpylFg0QlwReBx9NLf3UlRWRZpexpxZgNUgsA96iAZG
      cHvG0JstxEIB0vNK2b65iCt1l5E1Zg7u30NnWxPDI16smQXkWGR++tpJHjn2OIf27ZzVF6rf
      boeYn5Auk/BIL6MTYWr2HqLt7Amuey0ce/gBsk1xmm/0UlRWSUXJwhxfVDYO07tAQuHMe+/w
      zjvv4BoLcK2ljYMPHKHrxuTfztZr+Fx2IsYcDu2u4qOzn9zMF+dc7VUefOhBOq/VgiRz/tI1
      HN3XGQ7Eabreyr5DD9DbeYP9hx6gu72JlvoLpBVXU2SNcbVjiKvXrrP/0AMMdLeRU1RKZdVW
      du/Yis87isvlmvYJRydbnCsXPqTHE6GsKIdN5VVsKs7ng/c/pKKinB2791NWmM252gaOHD1C
      U/0l1PlelTuZvhAmafjUZ59JtAApKVaMBgOpaWkYDYabzuoSVqsFsy0V5JuGYEJGb7Sg1+lI
      SzGizywjNtZIU8jEpz6zB3ePBbPRgDU1FZPRgFarYXRklAlvIzY9lG4x4UxNw2w0oNNq0On1
      GPR6TEYDjj4nnvHpOyJUmGyYDHoMtmwePrQHYj7eePcMO3duRdKAXm/AoDOh10q4huxcOH8e
      W3o2CqDabarczjQFSLGmUnfuNDeMsH33QWypk76T0/8qNF6pZbhdsOPgp4g429DrTWRbBKff
      f5+IsJBu1LB7ayFn2/0YtRKptsn8t//dVV3O+xeuoqSa0em0ibjJa+iRol4uX73OgT07mG1f
      ibS0VEACjRZJiTHsHsZstpBeUEbXO2fJMh1hd001PhnikvrwqySz6JVg9416eingYFX+tC37
      hBCJHbjisRAfvPse248+TnGWddaypi4909Z/U6efL3Sjpckt+SQ0Nx3Op87OlaauI0lL2s5Q
      5f5m0QqgxOMoSOjmsKwUSpxwVMZsMt61gCoqK4lqC6SyoVEXwlQ2NKoCqGxoVAVYA4h4hBO/
      PM67H5yj+erVpCOOmuvO88tfvUcoptxMH6Oruw8Qqv/FXaKOAdYAno5aOpUKwjc+IWTSI8I+
      tLoU7CMhfvvzz1P7wUl27y6nvmMCR0cdhRW7aGltZXd1KQ7XCI89+3kKFrydpMrtqC3AGiA1
      t4SuxgsM+cNYtRqMRiOm9EKMQQcObwglFuTji02YlXEMGYVo9UZyMmwEJ7z4wzKsoVNZ1htq
      C7BGiEbCoNGh00hEYjGMBj3hcBSz2TQ59SxAp9UQjkYxGAzI0Sg6vZ5INIrZZFLXOJbIsijA
      WjwWR0VlIahdIJUNjaoAKhua+2ZfoFfeb+bnH15PCv/SE7t5/uFqfMEI/e6JpPhUi5HinNSk
      cJWNwX2jAEII4jMcPTQ1xGnr8/Ctn5xNij9aU8L/88UHV1w+lbXJfaMAd8u5a3b+9v9cTAr/
      1N4y/vjzh++BRCqrwaIUIDThoXNghJKifOy9vRgtqWytXPgpkGsZASgzTIips8T3N4tSgBHH
      MAazCbdrkOy8MiLBURRFQVGUe/6gKLMsBimKgizLxGeJF2IyXlHis8QLZFmeMe52RidCDI0k
      H8qRnZZCfubsPhEq95ZFKUBOcT7+QQ8pKen4vIMYUtLQaDQIIe75OsBsjjMajQadTod2lnhJ
      mozXaGaWX5IkdDodp6908/evX0qKf/JwJX/4uQNcbnfwz7+sT4r/3ENb+f2n9875glAXse4d
      i1IAoyWD6i0ZN78t7gjUjc6bZ9t46WRjUvgLj+3gi5/ZeQ8kUgF1HUBlg6MqgMqGRlUAlQ2N
      ug6gsiD+/EcfEpWTZ8q+/R+PzTrBsB5QFWCNcKqui9N1PUnhTx2u5FN7y1ZfoDto7x8hHJ1h
      OnidL5OoCrBG8HiDtNmTNyQ+tE2dbVtJVAVQWRbeu9yFc9SfFP7U4Upy0tfuIYWqAqgsCx81
      9tHc7U4KP7StSFWA5UCOKzOaM2g1mjl3qVNRmYt1owDHz7Xxv969lhT+28d28IXH7/+V1O+/
      Vku/ezwp/L+/cISCLNs9kOj+YN0owEbH7hqnc3A0KTwSm9mIT2VhrBkFcI35sbuS33D5mVZK
      ctPugUQqG4FVU4Bhb4AehzcpPDfDQll+Opdbh/iXt5OtKX/94Wr+w1N7VkNElQ3IohVAicdB
      0hCPx9Bob5kZ199w8JP3kvvoh6oL+cLjO7na6eIHbySbEz91uJL//LkDSxBdZTn56ekmwpHk
      ha7f+ewuDPr7d8ubRSmAEIL2psuYsysIeIfRmcxsrawAwB+K0j00lpSnLD99eSRVmZO//uk5
      nKOBpPCvfulhstNS5s1/sraT8UDyyZq//emajakAihzh7JmLlG3fyqbCAgBGHH2EFS3R8VFy
      soqIhMYSHmGzeWTd8riaLX7S40oRs8QrU/lnXnNXpvKvsEfYrPLPI998+ZWp68/iMKMoUx5p
      M8fH43FkWabfNUH/cPKuF+FIDFmW+auXzzPqCyXF/8XvPoItxTBj2bfKlxBzXF8IBWaRf0q+
      6z3D+MN3bvsLOytySTHqZ73+SjOrAowNtGEf8OKMXk0oQGZ+KRabDV9Ex/iIA4PllkfYbB5Z
      tzyuZouf9LjSSLPEa6byz+w1pZnKv8IeYbPKP4988+XXTF1/Fq8wjWYyP7McFqvVaifjZ3Eq
      02ony+8fnsA9ltxCCGmq/NnyT5YvzXF9rVYDs8g/lf8np5roGEiexfof/+UJUgvMs15/pZn1
      l6flbyYzo4vU7Fu2KBqNBrMtC7MNcrPVmRmV9c+sS6iSpKFiyzac/b2rKI6KyuoyowIIoeAd
      ddPa2kpqVu5qy6SismrM3AUScdraOgj4xpF16pYeKitPQ4eTYDiWFL5vSz7mFRwkz6gAkkbP
      too8LncOU65Vl9pVVp5/O9EwoyXAP/7pM5iNenzByIwzbbYU46wTEAthlhZAYXAkyONH9zAR
      StZKFZXV5r//8D1cM8xi/dv/+zmyUs28dLKRUCT5Wf0PT+/BqJ99lmuWGImikk1cqbtMz3CY
      owd2L1lwFZXV4IP6Hrz+cFL4lz67i7l6ULMogKCl6RoGWw7PH96+TCKqqKw9ZlYAScNDx55Y
      ZVFUVFYf1ZVKZUOjKoDKhkZVAJUNjaoAKhsaVQFUNjSLUoC4HMXe10sgHME52I/XF1wpuVRU
      VoVFKYBQBJmZadi7u4goBjwuB0KIxGfGPELMeYSSYO54Evlni56n/JvxszmczC8fdyUfYu78
      t37/rMXP6kwDk/dkzvib8s12gfny33J2mt0h6W7Kn1c+MU/+Bco322dxLUAsxIDTS3lZIZKk
      mc0HY50yxxM8V/RC8y/5+stV/lKve3+zKJ9gORZHpxEEY1p0jGPJzkWSpMRnJiRJQqPRzB7P
      3PEk8s8WPU/5N+Nn87i6lX8Wj68p+WYzuJrn+vPFz/f7JWnq/LNZ4jWaWb3NJvNPlj9bBc6X
      X5OIn90jb+7ypbuTT5on/wLl+6P/cWLG3a0XpQCW9Cwq07Mmv6Spu5GprB883iChGRRAnQVS
      2dCoCqCyoVEVQGVDoyqAyoZGVQCVDY2qACobGlUBVDY0qgKobGhUBVDZ0KgKoLKhWbIC+MbH
      iMRmODlcRWUdsSQFkKMBHO4x+nr7llseFZVVZUkKEJejWKwZ6LT3l0G0ysbj/wdNZgZhtcJB
      ywAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='192' name='Employment — headcount' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAceElEQVR4nO3daZAb533n8W837hsYYO4B5uIML5G6KMq0fK1t2bFXXq+stTeHk025bFfW
      dnkru1tJVV75xVZlXU7FWWeTdfzCm6qsrdgqX3ESx4fkQ5Kpi7QkkuJwZjgnMBjcGNxAA937
      gqQiyUSTBGcGg+nn84osPmz8ge5f9/N0P90taZqmIQgGJXe7AEHoJhEAwdBEAITXUVsKp3/x
      BGfPz5OJr5Mt13+tzS9/9iNWYqlX/661FLL5wm6WuW3M3S5A2FuWXn4GOXSAzYvPoAyHWIqf
      YfbQYTLL84wePM7RmXGiiTTx+A9RTp5k/sIck5NjfP8nz/Lw+97G4vIax088wFi/t9tf5aaI
      I4DwOorSwOly4bRZaWHixKkH2Fi5jKa1yORyAJitNpx2K8lEGknJs9W0c/joMS5ffAm12SCe
      zHT5W9w8EQDhdWbvOkVy7jnkYJiDExGWzp3lyLHjOD1+vG4XAA5JYXD2Xvq9dpyBYcKjw3jk
      CkfuPInN6WUw6Ovyt7h50k6cBr22SEmStnvRgrCtduwIIC4vCL1AdIEEQxMBEAxNBEAwNBEA
      wdBEAARDEwEQDE1MhbgN1brCVqlOsdrAZjHhcVrxOG2YTWK/0itEANrYKte4HMuRL9XIl2pk
      C1XypRrFSoNGs0Wt0by60dvwOm3UGk3KtQbFSh2QsJhlzCYZu9WM23ElGF6XjQG/k+PTgwQ8
      jm5/RYEdvBKsaRqy3Lt7ws9//WkCHjsDfhd+j52A206f14HHacNqNmG1mK67p9c0jZaq0Wi2
      UK4GpVJTKFYabJXrJLIlXlzcxOWwcuroGCcOjuB2WDuuU9M0lKaKpmnYrGJ/dqtuKQCtRpXn
      nz/HvQ+cJLowR6GqEh4OkK2oTAz5OD8f5a5jh3o+ALVGkz/5yuP82afegyxv/3QOTdNYjud5
      6twaZy7FmRjy8Y67Jzg+NYjpJrpPlZrCQjTLQjTDxdUUuVINTdUYCXk5NjXAvQdH6Pc7t73u
      /eiWAqBpGktzlxg7fIjo5UUGnLBatKI2qwRdZvIKHJ6aRFWv7JF6dS7QcjzPd5+6xB9++P4d
      /yxV07gcy/Lky2vMR3NMj/bxpsMjHIoEsZhNtFSVZK7C8maeS2tZljdztFoqkQEvByNBDkdC
      DASuTFJbTxY4Mx/n3FKSuqIyGw5y94EBpkYCt3WU2c9uKQBqq8krL51j7PBh4suL2GXQ7F4s
      skqqUMfvMjM1Od3zR4AfPLtIq6Xy0Jtnd/Vz60qT80tJnnx5jVi6SJ/HQXqrgt9t51AkyIGx
      PqZGAngcNt0jk6ZplKoN5tbSvLiYYGE9g89t59jUAHcdGCI84O3ZndN2u6UANBs1kuksVrsT
      l1Wmomj4XA4kWaauNDGZJGxWW88H4IvffIYPvuUgUyOBrtVQqSlki1UG/C6sFtNtLUvTNGLp
      IueXkjx9fp1jkwN8+N8cESHgFs8Cma12RkZGXv37a89jOM37ZwAWTRUYDrq7WoPTbsFpt2zL
      siRJYqzfy1i/lwdPTPGnX3uKJ19e4213jm/L8ntZb+6id1AqX8Zpt2Dfp2dUTCaZTz98H/94
      ep6ljVy3y+k6EYA3uBzLcWSif193DwIeB5/8wL381Xeeo1RpdLucrhIBeINzy0mOTvR3u4wd
      d2C0j4ffepgvfftZmi212+V0jQjAa6iqxqW1NDNjfd0uZVc8cCzMSNDDYz+9YNg7+EQAXqNc
      ayBL0r7t/7+RJEn8zoPHmI9mefaVWLfL6QoRgNdYTWwxM9a3r/v/b2Qxm/jsIyf55k8vsJ7c
      6nY5u04E4DXOLyc5MjHQ7TJ2XcDj4A8+eIK//PZzlKrGGhSLALzGpbUMk8P+bpfRFTNjfTx4
      7xT/57sv0DLQoFgE4Kpao0mp2mCwz9XtUrpCkiQevG+agMfOd56c63Y5u0YE4KqNdJHRkAdT
      j07f2C6/+97jXFhO8sLcRrdL2RUdr+1Ws4nSbKKpKqp6Ze5Pq9Xaztp21cXVFAfDwW6X0XU2
      i5nPPHI/jz5+nnim2O1ydlyHAVCZn7vIK+cuEN+Icn5+iUYpwzNnz29vdbtobjXNrAgAAEGv
      g088dA9f/OYzVGpKt8vZUR2f8Na0Fq1qlkw5gKwpxJIFBoJuVFV99X4AVe2NwZSmQTxbYsDv
      pNlsdrucPeHAqJ8HT0zyF4+d5r9+5E379j7nDgMgEwyFSGpmQm4Z2exlI10i4LYiyzKSJPXU
      dOhUvozfbcfjsne7lD3l3SemiWfL/P0Tr/CffuPOfXl9pON7glVVBUlCvs6P0mv3A/zipVXi
      mSL/8Z13dLuUPafZUvniN09z9+ww7753qtvlbLuOt1BZlq+78feiV1ZSzI6J/v/1mE0yn/nQ
      SX56doWXLye6Xc62641d9A5SNY31ZIEZMQBuy2Gz8F/+w/383Q9fYiO9v84MGT4A185ybNfd
      V/vVQMDFxx+6hy88+vS+OjNk+ADMr2eYGgnsm+7cTpoNB3nkHUf40ree3TfTpw0fgLnVNAdG
      u3fzey+RJIm3HIswMxbk9IVot8vZFoYOgKZprCTyHBoPdbuUnvLek9P8w9OXWIj2ztsg2zF0
      AGqNJoVyncFAd58A0WvcDiuffvg+vvy9F0hvVbpdzm0xdADWkwX6feIRgp0ID/j43ffeyZ9/
      4zTVeu8Oig0dgMuxLIcNcAP8TrlzepC33jnOX3/3BVo9Mu3ljQwdgFdW0xweFwHolCRJvO/+
      AwS9Dh79SW9OhDRsAFqqSiJbYiQk+v+366PvOU40VeDnL652u5Rb1nEAivk00XgKpV6lXK2j
      qSr5rcJ21rajEtkyXpcNm8UYT4DYSWaTzGcePsk/np5nZTPf7XJuSccBWI3GaeQ3WY+nWFha
      ppyN88rlte2sbUctxrIcGDXG8392g9tp5bOPnOQvv/UcuWK12+XctA53fyqy2qLc0nBaNexm
      mfVcjaGAo2fuB7i4kuLU0TEx/38bDfe5+NDbDvG/HnuGP/7tB7CYd6+H3VLVjm5n7TAAEhar
      Baml4XI7cdg9JLNlXE5LT9wPoGoal+M5Pvre45j30VOt94I33xEmli7y9cfP87H3370r9xAk
      c2W+8OjTPHAswgffcvCWPrPDLVRi5tBRDh+9g6HBfny+PmYmwwwODnW2uF1WqSmgXZnlKGwv
      SZJ45O2HyRdrPH52ecc/L5Uv86dfe4qPvPMoy/E83/r5xZuep9RQWsY8CzS/nmE2HBQT4HaI
      SZb51MP38cSZZeZW0zv2OfFMkf/5taf4/d+4kxMHR/jsIyeJZ4p844kLN3VdYmUzb9wAHJ00
      3hPgdpPDZuHTD9/H33z/DKn89k+XiGeKfOHvf8nvv+8u7jwwhCRJmEwy//nf30cyV+bvfvQy
      qqp/JDgzHzdeADRN4+JqitmwOAO000b7vfzee47zF4+dpqFs3yNzEtkSn//603zsfXdzbGrw
      df9mNl05+hTLdb76z79CbdMdUjWNc5cTxgtApa5QKDfoEy+q3hV3zQzxwLEIf/MPL9xwj3wz
      NjMlPv/o03zioXu4Y+r6R/FrIWg0W3z1n3513e5QNFnAbjMbLwDJXJnIkG9fPuFgL7o2XQJJ
      4gfPLt7WsjazJb742DP8wb87ccMurEmW+eQH7sVkkvnbH7z0a+F7fi7GfYdGjReAC8sp7pgU
      8392kyRJfPID93D6wjovLW52tIxkrsyff+M0H/u3d9/0A8zMJpnfe+9xrGaZr3z/zKtnhzRN
      49xSkhMHhw0YgJUUB0bFDfC7zWYx89lH7uf//uBFFmNZ6o2bvwAZSxX4s2/8ko8/dM8tP77S
      JMv8znuO43Ha+KvvPE9DaVEo12m2VEI+Z+fPBdKzV58LpKoaf/TlH/M/Pv5Ow7wFZq9Z2sjx
      zZ9eIFOoYrOYGOpzMz3ax1i/h/CAD5fdgsX8r+9FjqYK/O9vP8cnHrqH6duYuqJqGl/70ctk
      izWmRwPUG00eefsRYwVgI13kb//lRf7ko2/tdimGp2kauVKNeLrIWrLAenKLWKpAqargcliI
      DPgID3h54uwKn3joHg5sw3vbVFXj0cfP890n5/jCpx5kYshvnABomsbjZ5fZKtV55O2Hu12O
      cB3XNsVcscZyPEc0VeCuA0OMD23fS0s0TWMxluPAaABJkowRAE3TeO7iBt99ao4/+q03ExCn
      QIWrOuwIa2zGopTKZQKhQZqqRH/AyVo0wcR4eHsrvE2apvHjF5Z48uU1/vtvnhIbv/A6Hc8G
      HRod4+LFOZqVIvFCBXPdTrbcYPzqNOhrR4Fu0jR47OcXWd3M8ce/dQqHzdLTL/EQtl/Hp0Kq
      hQwObwhJq+KxmYkVFfyOK6P3axeZunmxSWmpfPWffoUsy/zhh0/t6tx0oXd0HIBGS2ZsOECj
      XMJrNpEv1XBYTa/b6Ls1BijXFL78vecZDnr4zXfegSyLq77C9e27QXC2UOVL33qW+4+MXbkE
      Lwg69tXVoFiqwJe+/RwfeushTh4e7XY5Qg/YNwFYjGb56+89zyceukc860e4aT0fAE3TeHFh
      k//343P8t4+cYrTf2+2ShB7Ss2MATdOIpgo8fmaZhWhWnOMXOtJzAWi2VF5c3OQHzyyiqirv
      uneK+w6PiAdcCR3pmQBslWv87Fer/OKlVaZGArz/TTNMiBtbhNu0pwNwZeJSlh+/sMTSRo53
      3D3BW49H8In3+QrbZM8FQNM0KjWFswub/OSFJSxmmfe/aYZjUwOvmycuCNthzwSgXGvw0mKC
      p15eI54tcffMEO+6d4rRkGe7yxOEV3U1AIVynZeXEpw+HyVTqHBsaoAH7ogQHvBiMom5O8LO
      29UAqJpGvljjzPwGz1yIUa0rHJse5NSRMcYGvJjFRi/sso4DEF25TKVpot9nI1PRmBjycn4+
      yl3HDrUNwFe+f4bFWJZ7Z0e4/8gokUGfeDyh0FUdnzxfj0UJ9o9QqchUylUSm1Usdovu49F/
      +11HsVnMXNvm1VaLvfsAdcEIOg6ALxAkYGsRr7YIuG0kCnX8LrPu49Hd4lHkwh7TcReoVimy
      VVbo87mRZYma0sIsS9hstj13T7AgtLNnToMKQje03UKrpS1W16IUS739JnBB0NOmU67xi5//
      DLPdg6bJvPvd79jVogRht7Q5AkhMjYfJ57JEZsVDpIT9q20XqFarINFkaWl9N+sRhF2lO0rV
      kKjXe+edr4Jwq64bgMXzZ1hYSyLJFiYn9taT3gRhO103ABMHjzM7Pky9XqWuiBdJC/vXdQNg
      tljYzJUYGQ6xlersjR6C0Auuexp0c3UeRTUxMRLBHeyNl18LQieuewQYCE9z4ugkv3jihzz7
      4txu1yQIu+a6UyE2VuZ47qV5JqZnOTgzjcNm+bX/uJVLU6o2CfV5UVQTLruFfKFIwO8TUyGE
      ntHxXKD5S3NMTE2TS8SJb1WYHnRzfn2LU3cfFQEQekbHAcimEkRXV3AGh2k2amiyCZsZJsYn
      X70fQDyyRNjrOp6gXy4XMdk9+N1OrFYPyVwZl9Oiez+AIOw1Yjq0YGhiCxUMTQRAMDQRAMHQ
      RAAEQxMBEAxNBEAwNBEAwdBEAARDEwEQDE0EQDA0EQDB0DoOQLNR4enTz5FLbjC/EqVZK3L2
      pVe2szZB2HEdzwZdW13H63GjNJrUKlU2N+vYXTbdx6MLwl7TWQC0JpJsJpvZxOt00OexkcjX
      Cbj1H48uCHvNbU2HbjQayJKEJEsoTRWTLGGxWMR0aKFniPsBBEMTW6hgaCIAgqGJAAiGJgIg
      GJoIgGBoIgCCoYkACIYmAiAYmgiAYGgiAIKhdRwApVGjWqujqi2arSuzPxVF2c7aBGHHdRyA
      XDbD8sVXWIvGeGVhiXopzbMvXtzO2gRhx3V8P4DDZmOr3sALyFqTWLLIUMgl7gcQekqHAVDJ
      5rbwOS3UWzKDQR+xdIk+t1XcDyD0lI6nQ2uaiqZJyPKvvwRDTIcWekXHXSBJkhEvgBF6ndhF
      C4YmAiAYmgiAYGgiAIKhiQAIhiYCIBiaCIBgaCIAgqGJAAiGJgIgGFrHASjk0qxF4zRqZYrl
      GpraIpvLb2dtgrDjOp4LhGyBcpzVhkK5WmF6wM2l6BanAv5tLE8QdlbHASgXsrRc/fho0GrK
      rOfqDPrt4n4Aoad0HIBMNovN5UP2BRjxeknlyrgd4v0AQm8Rj0cXDE1soYKhiQAIhiYCIBia
      CIBgaCIAgqGJAAiGJgIgGJoIgGBoIgCCoYkACIYmAiAYWscByKc2WN1IUd7KEk9mUZt1lpbX
      trM2QdhxHc8GtTrsVHIFyqpMolDBotjZqimvToO+NiVaEPayjgPgdDiAAgBem5mNgoLPfuWA
      IkkSsiyL2aDCntdxADZicVpKHbNrhJGQhUK5jt1iQnrNI6Ml8fhoYY8T9wMIhia2UMHQRAAE
      QxMBEAxNBEAwNBEAwdBEAARDEwEQDE0EQDC0jq8EL81fpFhTGRvqI1tRmRz2cu5SlLuPH97O
      +gRhR3UcAM1kYaofVvMKarPKZryGzWndztoEYcd13AWq12ok81WcVgh4bCRLTeym7SxNEHZe
      x3OBauUi1SZ4nHYkWaKhtDDJElarVcwFEnrGtk+Ge+29ADcTAE3TbnrW6H5t2+3P36m23f78
      m2nb9dmgrVbr1Ueq30xbk+nm+lndbnvt3Qg3+xv0yve6lbbd/vybabsjAXgjTW1SKNQobSUo
      1CUOzU7RbnOvlwsosoXY6gpmu5up8TDtspHbjJKqaUxHRjHdYEPLpeKkciXUlkJwKEx/wNO2
      bXozSiyewGT3cvDgASxyu2o1YqvLlGoKyBampycxt2l7bacAkEtn8A/00261KNUCly6vMz49
      Q71cJBgKtv29SvkU64ktLHITuzfE2GCo7ffKJONk8kXyuTwzR+4g4HG2/V753BZSq8baZobp
      2UM4rdevtl4q0DRbia4sYbZ7mRofa7u+svEomQZMhUduuL6yyQ3SW2VaSoPQyDj9fnfbWlPx
      GBubCcwOH7Oz07rrK7qyRLneBNnCgenJ3bkOoGkKy0srFOsqblrUdNrWq2XSySQWp59GuYRe
      OmvlBoODfhYX5tlIZHRrSGULWGgQGg2Tz+i3TedLTIyGCAS9rK4kdL6YQq7YZHb2IB5Tk61K
      o33TVoOzZ39FPB5nbS2G3rtzCuksw5PTrC1eIpXJ6daaSeUZHXJjcgxQK+i/o01CQ0XG6w/g
      czl020ZXV1hL5pmdHCKVbL/cWrVEKrGJxdVHo1LUX1+VBoP9PhYX5okns7qfn84VMbXqDEYi
      5NM660uDzFaJyEiIQMDN2lpSp22DfKnF7OwsLklhq6Zg+tznPvc53Uq2g2TGbtVQmhIOnxef
      y9l2j2ZzuClmE6ytR5mcPYzLbmm7WIvVgqI0cTjdBPv8yG2TD26Hhc1ciVxik/EDM1jN7Q+L
      Jq3B/FqawVAfwVAfZlOb/YRkwmHVWFlbx+T0MdDnRW6z+5NkE6FQCH8ggMvpwG63t/0NHF43
      zbrCyPAA5UoNv9/Xvq3TjsXuJ+hzoGkaTme7vTo4XB78Hie1RhOn06HbNfD7/VhtDqwmGYfb
      i9V8/d/A7nTTqlfJ5/MMjY7hsNva1mq2WnG43PSHQljNMmZz+7PwbqeVhmSjkssQHBzGbmuz
      HUhgkTQypRajg33Y7E5sbY5WSGbU+hYr0U3s3j76/d5dOgKoVaKxHF6Pk/TGBnWd3V8pm6CK
      gyOHDxJfW0HV2aVsZZMUKnW0VoP5hcu6NcRicUKhEKOjg8Q3dPbqQDKVZWI8TK2UJZku6LRU
      yWTzOJ1OCulNilWlfcuWwvraGtH1dRYXlmjpLFWpFEmm02zEE+TyW7q11iolNmIxotEo8Rsc
      BRMb68QTKSRqLOkd2YBkYpNquUg8uUEmU2rbrlEtkCs38HrcrCyt6C6z2SiztrrO+vo6lxaW
      ddtubRVQlTpmq4n4Rkq3balcxmqWiG2skEq3rxUapHNVJA2smkK5rtzGWyJvgSRbsZhbZDIZ
      JKsDi07sbE4XSiJLRqlic7rb9icBXB4P6c0MNRlcnoBuDR6Pi0w2i4SKLzSi29bldJDNZkBt
      MhRuv0cFGbvDzeDwED6XA1O7IwUgy2acbg9DQ4PYTOa2e0kAq8ONy9lieDCE2aS/iux2O16L
      hz6vE/NGXLetw2bF7enHZW0S3yjqtJSw2h0E+wdRmyXyhfbVWu1OXC6F4cEQlhvV6nDgkZ2E
      /G7MphvX6uwL4rapxDf0dgISVpsDf/8gJq1CKq23azHj8XkYHezj7IsXORIa2p0AgITJJKMC
      ssmku/Il2fRqN+JGI33Ta5Z1M23/9c/6B74rbZuv1t2eRq1cYP7SFqomMT3T17alqrYo5jIU
      tvJIJhvth6rQrNfJZVMU8hmsTq9urYqisBmPk4qDxz+g27ahNEkvL4Cm0j88rvu9lFqFxYV5
      VFUlMjnTvtZGg/zVWi2OdgPVq7U2GiTjKTIJcPv0fgFQmk2Sy4uASmgorF9ro8rSwjya2mJ0
      YlZ3uapS5fJqDI/fj80s71YXqEZdsRCJRKBWoqHTBaoU8tg8fUQiYSqFHHrnqPKZLH2DI4TH
      Rsln9Q//mWyekbEwI8P9ZNP6A7D8VolwOMJA0E1arwukNSlVWkQiERxyi3KtfReopVRoSg4i
      kQitShFF53sVc1mcgQEi4TFK+Rx6I8t8Jkv/8CjhsRFymbTu98rm8oyOhRkZ7COj9xtoGlvF
      CuFwhJDPTjbfvltRLuSwe4NEwmEqW/kbrq/g0JX1lbvR+spcWV+jQ6Eb1Ar5rTJj4Qj9fS4y
      Wf31Va6oRCIR7CiUG63dGQRLkoVSPk6+3CDQP4jH5Wg/CHa6iK0s0GjCwNCQ7qDK5XGxMHcJ
      SbZc6VpY2w+YPU4LFy8tYbE5GBzox2Jpf/CzSgpL0QQOt5d+vx+zpd2gykSzlmczU8QbCOH3
      utoOxE0mG/nUGsV6i2D/AG6nziDY7WZtcY6mJjM4NITdbm3/G7gdzF9aQDJZGBoawqrzGzjt
      Ji4trmJ1uBjoD7b/DSQJk1pjZSON0+sn5Pdh1hkEx5bmaagwMDiMQ6dWp/vq+jLdeH25nWbm
      Fpax2B0M9uusL0nCQoPlaBKHx3u11vbrS6nmSGRLePtC+D3O3TkCqGqFJm6UaoVKPkdTp20+
      EcM/NEal1iCfTuueVttYXWNsfJRaC1IJ/UHdynqS8KAPLGY24/qDqkS2hN8uYbVDfFOv/9mg
      WJWQmjVUpap7BGjUtpDtQWrlMqVcVncQnF5foz8yTrWukE3p1xpbizE2NkRDM5Hc3NRtu76R
      ZqTPhWw1sbmhtwdWSeVruC0aZrOqO7DMxaMERsJUawr5tH6tG6vrjEVGqLckUpv662s1mmSs
      34tkMbMZ1zuyaSRzZXw2CYsNEgm9sU2DUs0EzRqteoVKo7k7AZBkBy6PjZnpCJl8UfdDPYE+
      zCYr40M+CtWG7nihL9SHxeYjYNdoqPpXkgM+F76hcbRKHklnzwPg8bgZm5whF09gd9l0Wlpw
      e5wcPDhDMpHSHS9YrC4cDgsHJkfJFsq6v4F/IIiElZGQi1K9fagAAkE/dncQj6lBs+2ltavL
      9brpG52isZXFZNObuSvh8bqYmJ4hu5nA6mj/e3mDfZhkK+EBL4Vq++sgAH2hAFaHH59VRdFu
      tL7cBIYnUEs55JtYX+GpK+tLf0ayBbfHwcGDB0gm05hN8u5cCRaEvUpM1xQMTQRAMDQRAMHQ
      /j8lOLuUmsqz6QAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='192' name='Employment— rate' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAZJElEQVR4nO2dWWwsaZbXfxGR++a002mnt7ze762u6qlbvU5PN0wXVNfMCAQIXhFCPLG8
      IfGIaB6QENII8YIED/OChFhGgEaiBTVs3dXd9Kiaqq7qqrrXvvb17kwvue9LRPCQ3mqJyAyP
      7XvTcX7SVVU6TobPOY5/fPF9ceKEYpqmiSC4FPVFOyAILxIRgOBqRAACpZN9/tt/f4ejQpWN
      jQ0+f01cOT3gf/2fd6k2uxc/qxYLtLrG3Tp6CygyB3A7Jv/pD/8jP3j7B/zonZ+gdUt4AqO8
      +miejZ0M3/7enyP/9F2OtEn2t7ZYnRkhU9YxM+t0Hjwm7WtyUjP482/+WTyq8qKDcYyMAAIm
      KsFwBA2TyOgkr83FOSw2aVSKlOstAMLROKrRJJ8rs7uzzdTUHI9ff8gvf/kBhZNjGl39BUdx
      PUQArkfht772Ku+88z944zvfYyoRZTPfZWlqjHh8lJDfw+jkLBsf/ZLvv/W7+PxelpaWWfrq
      K2x9uslvfffbTE7P4FOH81C6sUsgwzBQhzQJgnu5sSNWphLCMCKnbMHViAAEVyMCEFyNCEBw
      NR4nxqaps7u1RTSRwmhWaOgKs1OTKMrw3QARBHAogPz+Nh1flFDAz9bBDumFJaC3AnT+TxCG
      CUcCaNYbeOIjbGxskp6ZYuPjT1j52hv46R38hjE8tSGmafLJ1omtzWo6gc+j3ZFHwovA0Y0w
      vd1gc2uXUCyO3qhS75g8XF1CVRR0XUfThudg6eoGf+0f/gdbm3/9D/4ik6ORO/JIeBE4GgE0
      X5DVhw/PPk3egjuCcLc4EoBbOcpX+af/9meW21VF4ff/3tt36JFwU4gABqDdNXh+WLDcrsoq
      2NAi9wEEVyMjwA1TqjZ5nrEeLQJeD6/MJ+/QI8EOEcANs7aX45/8m3ctt8+MR/mXf/8v3KFH
      gh1yCSS4GhGA4GpEAIKrcTQHaNcKPHl+yMzsHKeH29Q7Co9ff02WAYWhxZEAjnb20YIhKpUc
      Xv8Ys8E2VcMgDOi6PlTFcPoAdUu6rtPtdtH1/h0Put1ez5xB6qHObYUXjyMBxJOj1CoGjXoD
      o1Wmaip8RVHRzvrBDFMtEHr/A1XTNDwez0BxeTy9VA7SGODcVnjxOPpLRMZnmI808fj8YHTR
      TWUomyG9LGxni6ztnlpuT8bDfG11CoA/+NEH/PF7zy1tf+83l/kbv/P6jft433EkAEVRCASD
      vQ+aT24i/Cn5cOOIP/jRB5bbv/Fw+kIA7Y5OvdWxtG13hrMx1YtGVoEEVyMn8XvIv/ufH7Nl
      U47x9jeX+PrD6Tv06OVFBHAPebJ7yq+eZS23/8aSPMtxjlwCCa5GBCC4GhGA4GpEAIKrcTQJ
      NvQWe7tZYokE3UaZpq5KYyxhqHHWF6h4REsLEQ4F2dzfYe7BInDZGGvY+gL1t+nV9gxiexn7
      Tdo6y+mFbZ/dnsclOBSAfyTFqF5gbe0Z87PTPH/yhOU3HhNQGLrOcKbZ/wAwzw7+gWzPYh9M
      WIPZmk5sP5P//sIapr/VbeJIAK16jWKpRGI8QT6XxxuLEVAVVEXBNM2hKoYz6X/Zpmoqmqah
      qv3jOo9dUfpPqwa1VVCu2Nr7qyiXtjixdTmOBBCKjbISGz37JA92C8OPrAIJrkZKIYR7yR+/
      t0ml0bbc/p1XZ5lKREUAwv3kv/z0KfsnFcvts8mYCEAAXTds14w0VbnX93lEAC7n7/7z/0o2
      X7Pc/o/+5m9fPJRzH5FJsOBqRACCqxEBCK7GYWOsU548zzOXnuJ47zm1jsrjx6+h3eNJknC/
      cSQAvWvg9alUa0W8gQTpUJuaNMYCrtcYq5+taZoXtv1ya5jGZcOtfraGcWW/9r6e52DYGDQu
      Z6tAqp9I0Ee5VId2k6qBNMY64zqNsfrZKopyYdtvKVJV1MuGW/1sVfXKfu19Pc/BsDFoXI4i
      C0SiTHj9zEhjLOGe4LAxlkogEOh9UL0M0fleEL4UWQUSXI0IQHA1IgDB1YgABFczfOtbffgX
      f/gnlKpNy+1//e3fYHF61HK74C7unQB+/fyIk2Ldcvtf+t7DO/Tm/vDx82N+/9//X8vtyXiI
      f/Z3fnCHHt0M904Awu3Q6erkKw3L7V7PcF5NOxZAtXhMgwg0i73GWNPSGEsYXhx2hutweLhL
      1zcHrfxQNsY693PQ/j092/5xXTalejGNsUyu1xirrwfnOXDU8OvFM2hcjgRwcrCDrngolct8
      dXmOrbWnLD0essZYZ34OKoDev0F2e9bAaoAD5VqNsQY4qq/VGKvvbp3l66VhwLgcCWAyvcxk
      t85xqUvu9ARvdITg2TOjw9IYS1F7za5M+p+tVPW8MdbNNbtyYvuZxlh9GnldtzFWv6vXixw4
      iOtlYNC4nE+CPSEmEkAidj3PrsH76xnbCdij9DizybvzR7g/DMUq0H9+9ykfbR5Zbv/bf/kb
      IgDhWgzn2pUg3BAvbAR4571NfrVh/SK3bz6a5s03Fu7QI8GN3KgAPtzI8otPDyy3z6dG+J1v
      LQOwcZDnZ7/es7QdHwnx5hs36Z0gfJEbFcDzTJEf/eKZ5fZvvTJzIQBBcMq7H+5wmLNud/h4
      OcXD9LijfQ7FJFgQAH784Q7vPT203B7weUQAwosnm6+ylSlabo9H/Lzy4OV4v4RjAXRaddqm
      B7XboNZRGB+V5Ufhs7y/nuFf/dH/s9z+eDnFP/5b378zf+xwJADTNNje+DVtfxqlVcSjmMRG
      XsEnnSGEIcWRAI73NmkaXurVAolwlKjaoWkaaHqv0ZCjRk9GnzoYw0FTKGPw5k3GebMraYw1
      iOllDvr5ymVcep+eS1fj2soUbSe2U2ORiweY+h8HzuNyJIDk7BKJiRJ7pwZ67Yjjjsqrqop6
      VnjhqNFTn1FDUR00hVIHb96knjd6ksZYg5he5qCfr1zGpWmDx/WTj3b5o5+tW9r+3reXWU0n
      L75nx3XiciQAVVVRA6MszIJpjg3klCC8zFx7FUgOfOE+ILVAgqsRAQiuRgQguBoRgOBqRACC
      q7EUQLNaYnt3n0rV+hWagjDsWCyDmvzkJz9G9UXYQOGtt968W68E4Y6wEIDC0nyaX326watf
      /+7FT5vVEruHRwTCMYxmBcUfIT2TknsCwtBieSOs0aijoLO5tcujhd6bwv3hKB7lkFa7S6de
      w68Feg2ZdF1qgaQW6Fq1QEaf48BwkoObrgUyFYV267IdSafTYe7BAk/XN1laesTh1iZNwyR0
      VisjtUBSC9T7zuBxqX2OA9VJDm6qFmjzk/dZ38miKB4W5tMXPze7bfaPTknPL1Ir5wgmJggO
      8AcXhJeVLxXAg9Wv0mq3+fDpJq125+Ln/lCUxYVo70Nk5k4cFITb5EtP3x6vl8NchampCSo5
      64ZUgjDsfOkIcLS3QdtQmZ+ZJRyfvGufBOHO+NIRYGJmgW++tsxP//c7/Pz9T+/aJ0G4MyxG
      gE1+8cFTXv/OWzxalT4+wv3lSwWQerDKX3mwete+CMKdI2uYgqsRAQiuxtEzwa1amd3DLCNj
      k5jNEtWOwuKDub533QThZcWRAHzBCPFYlELxBHSNkKrTMAwCCoO9TM40L+pq+r4f64ptv8IO
      0zQGqtcBMA3jrG5pkJe+9XwwB6wb6vnSf78D54ArOejz0itn+br6d7D31TjPl4O4+uX2alxO
      jgNntva+nsflrDMcJl6vh26njUcJ9l7MdratV6fRZyhQLus5+r7zCuWy9qPvCKMMXpGq9GwH
      MVc483cQWwfD4EUO+qfryn4Hz+0AHgxsqyjObHv/7ffbHcTFNePq58NZXI4E0KiWOMmXGB1L
      oXSq1LseQldektffUeWyAKy/6ZVisf4vfRukCO2qrTHAq08VtWc7yIvvzn//IH+sQeP6TL76
      Wl7Nbb98XfW3z37P8qU6iMvJcTDo7x9kv5+Jq58HZ/t1JIBwbIyV2NjZpzFbW0EYBmQVSHA1
      IgDB1YgABFcjAhBcjQhAcDUiAMHViAAEV+PwHWEmhqGjqhqmaWKa5tmNIikGEoYTRwJo18vs
      ZU5p66B0akTHJpmZmrgt3wTh1nFWDBeK4lGyhEYnaFd1CrkcqdQEiiGNsaQx1j1sjPV58vsb
      HBSaLEZ1VMVDp1lFB/zSGEsaY3GPGmNZkZhb5btzvf83zTFmHyh9AxCEl5k/xUvyVHkQRhh6
      ZBlUcDUiAMHViAAEVyMCEFyNCEBwNSIAwdWIAARX4+g+QKdRZWv3kJHExEVjrKX5tNwPEIYW
      RwLQfEHm09Ns7OzjVf0EP98Yq18dzG01xjJuqzGWMVCNE1xtdnVztp9pIPXCG2MNHlffGqeX
      qDGWo0ugbrPC2naG1ZXFnjNnjbEumicN0BHp3HbQxliDNKa62OdA3a4Gt73c7yC7HSwuJ/4q
      ONjvZ/bZvy/PbeT2OnEN2vDrtuJyNAI0G008GpzkqsQiXhq676Ix1mBJup3GWNxWYyzFeWOs
      QdRyO42xGDi312kgNYiwb6UxlqMmWrfcGCs2niI2njr7JI2xhOFHVoEEVyMCEFyNCEBwNSIA
      wdWIAARXIwIQXI0IQHA1jp8JNgwDRVHO3glmommaNMYShhaHpRBVfvzTn6MbsP70U45O87fl
      lyDcCY5GAE8gwmxqHIBQMEDu5ITJiaQ0xkIaY7miMVarVubwMIMvEkdRNLqtljTGOkMaY7mg
      MZY/HOO3v/8m0CvllcZYwrAjjbEEVyPLoIKrEQEIrkYEILgaEYDgakQAgqsRAQiuRgQguBrH
      tUA//5P30A2TjbVP+PDjJ31vTwvCy4zjWqDkaBTTbKFoMaa8HSqGQRikFkhqge5/LZDebVOr
      1ag1urSaFTqYLCgq2lk5hNQCSS1Q7zv3tBbI0HVSUzMYusn8/CxtQ8EntUDCEONIAF5/kFQq
      ePE5dOPuCMLdIqtAgqsRAQiuRgQguBoRgOBqRACCqxEBCK5GBCC4mmsLoJg74SBzJLVAwlBz
      bQEcneSYGE/cpC+CcOdcuyvE+FicD9//gFe/8XV8DPY2RSmGc2YrxXAvWTHcla9TrdYIRKP4
      VAXt7CVyUgwnxXC979zTYrgrX+fB4tL1vioILxGyCiS4GhGA4GpEAIKrEQEIrkYEILiaawrg
      siuEIXeChSHmmgJo97pChPzU+tzIEISXmWveB/Bc6QohD8ULw8u1b4TNz89JVwhh6Ll2LVAo
      EiVErz5DNwwMw2B5Os5f/TMPLb8zOxFD13VM0+Tx0iRhv/Wvf+VB8sL2e6/Nsjwdt7Sdn4zR
      7XZRFIXf/dYStUbb0nY8FqTb7WKCra8AAa9Gt9slHNBsbRVFufB1cjRkaxsL+y9sl/rkayZ5
      ma/XlyYI+qxLMh49GL+w/e6rsyymRixtF1IjF/l6+xuLVG3ylRzp5Wt8JGjrayTou/j986kR
      W9upROTC9rWFJB6bk+jqXOLC9je/MsNcMmppuzQdv4jrra8vUK61LG0nR0M9W/OG6pl1XR+o
      ZsaJrWmamKY5UH2NruuoqjrQO4tvw9eXwdZJvs7f9zwM+brNuG5MAJ/FpFgooZotdg5OWFx9
      hbDfIlDTIF8o0agWKNe7LC4v4/d8eaCm0ebjj56y+PARoaAPuxCNTpO1jS28Hg1DC7CymLa0
      19t11je2qTebpOeXSY7FLPfbqBTYPjhCVWBsYobkqPUZyTQMesntksvVSSatR7GDnU2aBFhM
      j5HPGyQSYau9sr25jqF4qTdbrKw+tM6XqbO1sUGz2aKJj8dffWS56tFu1OgoHo73t9C1MEsL
      c5b5yufz+FWDncwJydSsbQ6erz8hPDbFRGKkz0Fpsru1QVuHVqvL0upDAl4rb012Np9xUqyQ
      SKaYn5u23Lepd9jc3EQ3FXyhaM/2yvZbuw+wv7vNdibPVx7Oks3kbCx1splj6m2deECj2rQe
      jk1TJzoyRi67x/qzLezqOWvFPNGRUaotE0+3iV1B8/HePtPLDwmHwxROsrZxZQ+PmFtYZmV5
      iaPDA1vbrbVP2DnIkMkckCtUbG3rLYNESGFzd49yuWlj2aGj+2k3W8yNxylVGza2Coau4w8E
      SSaTtieMTr3K7u4uHS2E1rHPV+H0mMxpntmZKQr5om1ciubHazZYW1ujYnOpBTqNlkq1UmU6
      OUKpUrc2NRs0un5ikQjeZo2azSm8USmgBsZ4uLpKq5ij8znbWxsBmrUKu4fHjMYiRBOTBDzW
      6a8WT/jVr58wMbfEygMbNZs6xXwRAwiGIgSDfss/qmkaPHvau0/hH5lgfmbC0tbQ23z0wQfE
      JuZIjo0QjVidfcHQO+xs79AxFKZnZoiEAra2uqnh9RgUi03i8YilbbVSJhSJUs5l6HrijMet
      +u6ZVKs1QqEQ9WoRLTBiOzfANMkfZzF8YcZGY5ZnPNM0qFbKoAVoN2qMjSds8tVlZ2uTrupn
      dnqaYMBn+etr1RrhSBjT1Gm3Dfx+r2Vc+eMshuolXygxv7CAz2JkA5Ps/g5dT5iRoJ9wLIpq
      ecwYbK59SgcviWSKZGLkDkYAE7a3dxmNx2m3qpyclGxsO2zvHvPola+gNksUajYjgNFif/8Y
      0zTZWl+jZTMENEo5DE+Y8YkUtfwJdrcrCtkMsVSaWNDDzu6+bWjlQg7F6ycY8LG9vWNre3KU
      JZs5YG9vl+xxwda2VMhzsL9PuV6mVLA7q5vkjo84ODhgb3ffdsJvmjqbG8+otbvsrD/D7pEh
      vd3g+CRPMX/Czs6+7eh6epzF4w8R8Jps72T6xHXC3t4e+/sb7O7bjxbVWp1Go4HZrVMo2+eg
      3mhjdpqsP12nY2PZqOTpqgFQPDSK+S+MbNdeBbJFgXAoQD6fw9C7TD2w6SKqaAQDGrlcjq6h
      ELJZGVJUH16PTi6XA18Qy0tEwBcIYXROyOVa+IJh7FZrw9Eomf0jOppKKGJ9PQsQCAQY8Y8w
      Gg3gObS/XAr6fUSiScK+LpnDsq2t3x9gZHwSj1Ln6MjuAkTFHwwxOTVFLRbGsDxLgoJKKBIj
      NZUioHlsL4E83gChcISp1AS+PrZBn4/QWIKI3yBzaH9Q+/0BoolJfFqDzKHdJZCCL9CLq1GN
      0DbsJse9v9Pk1BRBzWN7Fvf7Q0SiJjG/wdrzLLOf2347AoCz2b2Ooih9niZS8Ggq3a6Jqmp9
      JkoKmqZinO3f1lJVL4bFfisNqqZdPEHUz7bT6ZA9ynKsQGx0wt622+Xw+TPAIDmVtrdtN3i+
      sY5p6MzMr9hYmrTqVdbX1jBMWFy2nlibmNRKedbLJQw82D3BrXc7lAo5yqUCmi+EXWSdbpfj
      rQ0UDBKpuT5xNXm+sQ6GzvQD+7jajcu4FpaWbWwNquUipXIZ3dQYm7IxVTVqxRNqqkZ8bPQL
      Yrm1S6BiucbsXJrkWJhc3ubsZ3ap1HTS6TRhzbBdkzaNJq2Ol3Q6Dc2q7SVQs1rGExohnZ6j
      WSmi21wClXI5RpJTzM3NUC7kbUMr5PIkp2aYm5kmnzu1tc3li8zMzTE9mSB3an8JVCz18jWR
      iHB62i9fHdLpNBEvVOrWa92YTRptD+l0GrVVs89XvYwWiJFOp2n1yVcuX2R6do7p1Di50z75
      KlWZm0uTGo9ycmozWpg65bO4Yn6FUtVmIcBs02ippNNptHadpo2v7UYFxRclnU7TqZbofs5W
      ++EPf/hD2wiug6Lgoc3W/jHBaIzx+Agej8WZVdHQmyUyp2WiYwni0cjFCze+uFsv1UKGYr3N
      aHKSWDhoOQr4AiGyu5s0uybJySlCNhPmUDTK1toTDDxMplIE/NaTunA4yNraM1TNx9TUJD6v
      1aQOwgEPa8+28QZCTI4n8HqtB1yv0mFr/4hgJEYyHsfjtc6X0SpxeFomOjrGaCxiOcIqeKiX
      shRqbUbHJ4hFbPLlD3K895xG1yA5kbLNVyTk4emzLbyBIJPJpG1cPrXL890sgXCM5Ggcr2Vc
      Kmanwv5xkUh8jLFY1PrZYsVDo3xEvtIknphgJBy0vHLw+gKcHGxR7xiMT6QIfy6uW1oGNTnO
      1xjxK3j9cJS1u/7tUG6Aqrcwuy0qdesRwDDqdJUInUaderFgO6kr57JEk9PU6y3KuVPbSd3R
      9hZT8/M0Ojq542PbyPZ3D5ibmaCLxlHGfg6we3jCdCKC6tPIZuxHi+NclZGAgi8AmT75KtXB
      Y7Qw9RZlu0UDs0HbDJ/lq2ibr0r+mPD4FPV6k3I+Z5uvnf1jZpMxFK+HbObENq6jXIXRkIYv
      qJA5tFkMoUuxauCjg2K0KVXsloIbNLtB9GaDRqloOwmulU4JjqZo1BpU8qdfmATf2n2AWCzC
      3OIKhcwR/rDfxtJDJBpk9eEKx9ljvDYzW0UNEo76WVlKkyuWbZ0Px+J4NC8LMwmKtabtfGFs
      chxVDTAZ89Ho2HeLGB2LE4xNEFKa6Ir9FCoeizA2s0C3nEezGVUAorEIcwu9fAXCdra9fK08
      XOUke2J9RgVQAkSiflaWH/TNVyg2gtfjZXE2SbHasM3X6EiE0al5jGoR1WcfVywaYWZ+mWL2
      CH/E7jjQiESDLK+ucHp0jNdnl9sA0ViAlZV5csWSbVzBcAyf18tiepJC5Ytx3dJ9AEEYDuSJ
      MMHViAAEVyMCEFzN/wc56Or/Le30fwAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='192' name='FX rate trend' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAdpklEQVR4nO3deXAb153g8W/jJECAIAleIEjwEEnREnVZlmXJljV25CO2M0k8uSqZSSaT
      ZHa3pnZrj6r9c2qnanZrq/aPqa3ara2ampnNTDaJM7t24ji2EyuKHB+6D0u8D/EmSIIgCRD3
      1W//oCVbpkgBIAiCwvv8ZQPdr5+I/nX3O36vFSGEQJKKlGa7KyBJ20l3+z+CwSCpVGrTBcZi
      MYxG46bLkaR8UHL9COT3+7HZbOt+H4vFMBgMKIqSy8NKUlby/gik0cinLqlw5P1slFd+qZDI
      y7FU1PIeAKqq5vuQkrQueQeQilpGAZCMhrhw5RqqUBke6KO7px/f0jw93d14loPpHVA2gqUC
      orv/Jp/QGkzYLCYQEI1EiCQ1LC0F6ezqZOKWG3uZCVVVSSaT65ax0XeFQKQSq121JWYZrEUg
      owAQQpBKJkjEw6C3UmWIEVVTBFYCqIoWrVaLRqNBp1u/WCEEWq22YHuDvO//L/7mmpWw1o5B
      K2itUHnJOc874cOUla5eAB7pdFBuMW1L/fyhKJFYkrpKy5aUL4RACNBoCvP3uR9fMEooEkev
      1xKOJigzGzEZdRgNq+ekwt09kRkFQDIewWq14Q8maKgrJ6ZqaLaX4Z5doLnZmVYZhdwIXlhc
      5o1hPX/9b78JKIQDPpKRAPqohwOLAn9wkdE+N8aQgxMnT+a9fkIIfny6G4sI8O0vP70lx7g0
      4GZgYoHvPH9wS8rfaj/9bTe7535GKpXimtdMQJQSU8x8/9Qu3p9UGPLp+fxju3nqUDOQYQAY
      TBaamtZeeRoa0jv5oXDbAEIIXn+vl/ZDT6JoDQCUlldDeTXQysMtq9s9uTxO729/ghBP5v0u
      Nr8cYqz3Ct+ru8L47CGaHRU5LT+lqrx+9jpfs18Hdl4AeJZDjPVf47t//E30JWaeCi8jIsuo
      ER9EJmio8bOg9fH3V3X8wcEmFEXJLAByoVAffXz+FQbGPXz7xaMbbqcpb+JHky38p2iMUlNJ
      nmq36sKNYV7aY0Brf44fvnWFv/zuqZw+qlwdnKU2OsRZdxnO5RDVFaU5Kzsf3vhwkBceMmFs
      OHTP88wImBIRdv3t/yCVOolOp5PdoLfduPQ+Lx1vw2DQb7idoii4HHbG3Yt5qtmqQDjGvrl/
      4oknTrDrkc9hWuymZ8yT02OUzf2eb5xopq6hib6JhZyWvdWEmuKo7xUef+KJDS+yiq6Eo3Yf
      i0t+QA6EARBY8VE+e5aTjzyU1vb7WmvpGc3tyXc//3y2l0nTITRV7WjMdr581Mkb7/fkrPyr
      g24G+3qpOfAc+1pr6M7zv2+zfvRONwmrC529ZcPtFEXBU/M0Z7vdgBwIA+BXHw4wu+s7KNqN
      r/63HWi1U+e7uMW1+sRyIELfzY849viJO1e3tsNP8y3lJ4QjsU2Xn0ypvHr2BoeOHEUxlNLa
      1EjIM8pOyZVa9Ie5+dE19jz2bFqP2LtbHAyMzSKEkLNBA4EgVwZmOHm4I+19yu21BHwLRKOb
      P/nS8ca5IZ59yIyxqvnOZxpLNfrm4/y3Vz5EVTd3ol4bmqUm1EfjwdWeJVNFLd8oPUMikdhU
      ufny5oVhTrWCsbY9re1rHA2Elz2EookivwMIwenz3Zx8uA1zBg1aRatnovQoIzNb3w5QU0kO
      eH7M008eX3N1cxz5Moa5K/SOb+55faTnKn90og3F8HEPn0bPhZIXONc7s6ly80EIQWrkDCdP
      HGe1l//+NEYrX6kfQxNdyn8AFNJtNRULsW/2H3nuaPpX/9v2ttTQm+NG6L38v9/3k6joQFfR
      uOY7xVTBl486+fm73VnfBYanFnk0/BYN+5/6pFxFYU9Lbc4b2bkmhOCDa4O82LBASV0Gv6Gi
      YG9s40L/XBE3goXg7XN9TDT/KcaSzEd1H2qppX9sfgsq9gl/KMrFqzfZe+y5ez7bKopCx6On
      eDhymmQ8mnH5qir4h19dRL/7OZSSsru+a2+uZ2xqjmSqQH6vewhGErz6m/NYHvljFCWzU7m0
      YT/v9XnyHwBarTbfh7yncCTCmeuTHD9yIKv9q+2VfFX/BkJs3Qny9oURnuooxWRfe/W/TWOp
      5USXg5+++UHGd9crg25qw324Dp1a853R7uKovptkLJJxvfPlzfNDPN2cwlSfXu/dp1U5Gggs
      zhZvG+DspX6OdjVjNmc3p0ejNzBgPsHwxNbcBYSaIjz4W5564tH7bms59DVmhm9k1BZQheCt
      D3p4+fFWFOPa0X1F0XC4Qc/0bGGOB0TjCa5fv86pE0cyvvoDaEvK2FWlL84AEPEQ8eHTfP54
      5leOTyjYG9q5PpL7ABBCcOF6Hy/uSmCudNx3e21ZHS8fruK1d3vTbgtEQwH+zPAKjYeeYb3G
      Y6T+CX59Y2sf87IVnB/lPzRfwdSwP6v9FUXhax2h/AdALpZe2axLV2/Q1dmGzbq5of6u1hp6
      Rj05b9iHYwl+9rterI9+O82pIwrtj30e89wHLPpD9906par8l//zAfrdz6MYretu19zUyMTk
      NGoBdVwAhCJx/utPL1F65E82NbWmpPHh4hsHSCZi/PN5N/Z9z226rMoaBwTcxOLxtPeJxpN4
      lkNEYol1A+edSyOc2F2Oqbwm7XI1lhr+1VE98wPn7nsXuDo4S1Won9oDG/8NSivrsBDAs5Re
      shOs3r02Oy5xv/JPXxnl0dow5sZDmyrL5OjMPB9gZWWFsrIyoqEV5pZCNDurmZiaoaGxCZ32
      /tG41ZPhlldCeL1enHofN/wVRCMR4rEw5WIJJ25enaxjb1sDFbbNz6dXFA3/un0YVtxQvfEQ
      /G0/Od1N/+XfIUoq6Wyq5mRXHVc8JTirrDirrNTYSjh/tZe//M7JjP5WiqJgeuRP+OX//DGL
      pg521VdSU1GKooAQoCir22g1Cr949wZ//lgTGlP5xmVqDXylZQlT1A3sTqseA5NePuie4gcv
      PZx23dMlhCCeSPHuuWv81VcPo2g216GiMZgzzAeIhfiop5cTx44yOjZFc1sbU+NjVFTXMDox
      Q0drw6YqlAs/fPMyNnWRL9RNMpV6Ap1Wg0GroC0tw2wzcaTcyYG2upwEoqIoDFd/kekbfr6+
      tiNlDaEm2e99hW9961k0qShqYJ6gZwjnsomZ8RSXV6BTN8p/3N+IpTL9q/9tmjInXz9s45dv
      /j3nlFKee8TF8HyMiyM+FJ0RjbGU7z27m8fjv8H18F+lVWa1azfv3PTwlfqOtP5mc9OTXO8b
      R33hUFYzVRPJFHNLQXzBKC2OCi71zzA8vcSiP0wkEuHP9kf5qmOYsuavZVz2Z2U8HVpfYqGu
      qgJIsuILMTnYR7KkjHpLKZp5H6lUaltTIlVVZXpukR98/xlKTGZevsc2t/tUclWPloY63nm7
      L63yXn23l45yF9qW1WQaLWADjgMgIJVEpBIoOkPW9Ws69jJ/4XgXElFEMsje0ihfdCVRE0HU
      5ByamR5anj6JqregpnEMU30XF353kS+dSt43AGYWVjCM/IL6eAnzSwGqy80Z1/+t88Ocv3KD
      ZuMSZe0K5RN9PBxZxl6SxFZRgTncQMMzL5NSAXXzv2FGARAN+fH7V3DPr+CoryAcU3FWWxka
      HKaqzpVWSqSqqluWEunxeKix6rBYraQ7LL5ZdY46IqELRONJLOb1p1OshGJcutbDF77z3Pp/
      H50e2GSqpbUa9n11c2V8isVeRykhfKE41eXrdxoIIXj1vUFOkOAH7V5s+gg6Xdm6269nZm6B
      79vfpcHVjMa+i4Y930Upc6KYK9OerJiJjAKgpNTGo4/eThipvvN5pb027TK2shFs9N7gX3Yt
      ka+TH0CjM3DYoRL0ebGY138EPH1llMddAnPNrrzVLRcUnZEuVxn9EwsbBsDsYhDPwDkOfPMZ
      bk17ef29af78C+mfF7AaRC9pfo3zhX+Ptirz6SnZeGDGAYQQ/NNNHd7qJ/N+7OfbNaxMD2yw
      hcDT/wGnThxebY3uMC90KOyJX95wm9OXR3ixYQF965M4Xc2MjM9k3H06OrvM/52sR1Pu2kx1
      M/LATIYTQjDhXsDpTD8/OVeijuP85Mb64xs3Byf5cvUAVkd+rmq5Zmo4wH+/wLrzgmLxJE9z
      hqPHT6Bo9ZQ6OsA3TiiSfvcwQN+4lw6nDUWXv1TTB2YynHfJh6XUvC3vJqiqqiK44iMaXzt/
      Pp5I8cM3r1By+Dub7rbbLprKFrSxZby+8D2/f+V3PQxPzqPveHZ1+5IyDtUmWVhaSfsYQgh6
      xjx0tVTff+McemAGwpbcYxxrK9uWpHut3khrbSnDU941333YPcle2wq2pq681ytXFEXDnqYq
      +sbXTo/2B6PcvHaZRx9/8k4jVdFoeak1ijaUfj6BAOrDN3E257eN9MAsjx6fuc4ftG/PYlUo
      Cp9r02Na6r7r45Sqcvp8Dy+e2JfVhK1CcrDVzsL82hP6N5dv8UT5FKW7P3fX5zHHMf7uvYW0
      H3n9wQgHtX3oK5pyUt907exf5WOpZJJ/HLRDzd5tq0NrSxM3Rubu+sET/ll+UHGa2radt8bO
      Z+1qqudQ+MyaE7pq+TKnju1H0d/d51/pbCOyOEkoml5a5fneGcZLj8AWdHVu5IFoA3h9Qawl
      WowlmQ+85IrWvovz0xoisdUfXBWC//yzG1gP/hGKJu/LL+WcpqKZn025cHsDdz579/oYlctX
      sOx9Yc32iq2BBmOAKY8/rfL7xubZ21Kb90fYB+IOMDgxT2dT5lMHcknR6mipszH6cZ7wjZF5
      ypNz2Ds2Xmhrp1C0enY32BiYXG3nRONJ3jh7Fdf+EyiGtRceRVE40aJDidw/bzqeSOF2z+By
      5a/787YHohFc5jnH4+3rT+vNB0VR6GqppmdsAVUVvP5+H196vC2vXXpbbV9LzZ084XM9U+wR
      PVQceHHd7TubapifGr1/wWqCl60X0Ve35aqqadvxdwAhBMPuFZzO+u2uCkd2lXMs+jbJ6Ap7
      wr+npevBuPrf1tLswhW6AsD1j27y4uOdn6wkcQ+6+oO8fn2RZHLjHJCPRuaw2mvvrMmaTzt+
      IGxh0UdPvBmlZOOpvflgqm7htTEbr/zqfV48thuN/sF6X7KxvI6q5DS9Yx6+afgFNffJJzBU
      NlKt8TPzqXbDvbzfPYPJmV1m12bt+Ebw0NQCHa7qglh0V9EZMdgcDIy5MXX94XZXJ+cUnZG5
      siP89f/+Lcmmp9GYNl6dWtGb6HCUMji1fjtAVQUzUxM0uJpzXNv05L17IterQvSOenhsz/3z
      ZvPl2T1WaNejuUei+YPgYKsd79hZnA//m7S2P9FqIKiMAfce4HIvBrAry5iq8t8AhizuAInE
      x6l8QhCLxRBCJRgMbkveqBCCp6Kvsqcpv8PnG2l7+CRtRzefblmodrW1873n96KYK9Pa3tbQ
      yW+vT6376FvJMn/aOrVmHCFfMgqARCTI++cvIgQEfR7OXb7B/NQ48555Jqbzv3xGIBDgdPAA
      OlPhXG0VjXbHzvlJh8bmxLD/a2k/cuqr2xn3BFgOrF24SwjBjz5wozoe2bZZspllhJksOGvt
      CDXBwK1pzHoIRFRaO5oZvzWdVkZYPB7HYMhNa//myCwWRzup1fSgnJQp5ZjWRGddCb1j8xzb
      e3e+hKoKBm+N861H9m7byxMzzgibn/dgtlbyUOduxsbHKbPoGRwYwlJem/eX5PVPLnK4vXbD
      40nbb2+TnW73MicONN/1+dxikLKkh9LaL6Js02+YcUbYk09+8nK4rq7VGY7VDjXtAa5c9dYI
      oTI9M8u3Tu3cWZbFoqu5EufURYQ4eNfvPzm3yIEGE+i3aRIjOeoG3Y61flIRP//CfgazJfO8
      Uym/9PX7+duLUYKfSZBxxgf5fLvY1i7sHTsOcO3WImdLv56TsqStpTFVUmXRM+pevvNZMqXy
      N78PonEe2caa7eCpED2jC3Q0FU7/v7QBReGhpir6Jz5JGFrwhbFEJtHXbmZ91s3bkZPhhBCM
      THloa9zeGaBS+jqba/B7Z+/8f//EAp31FpRtfP6HHXoHSISWaTZ4KS+3bXdVpDTVOJs4pTlL
      6uNHYE3QzZFd2//77cjJcItzU3y+NV4Q83+k9Ghsjbw+7WDM7UMVAs38RzQ1bc/0h7vqle8D
      5qIR/Jv+CO7qp3NQGylfFK2ejoZy+ie9eJZDnBlT0FZ3bne1dmYbYGhino6muhzURsqnh5pr
      GJhYYHDSy+4aPRi3vwu74FaFEKq64Xu3wuEwiZSKzVo483+k9Dgbm3BFu+kdW6CruTCmsBfc
      HIJfv3+N871T1Nut1FeXc7QBTOU1mCoc6PV6EvN9fKktiqZAXrYnpc9Y2UizOow9Eqf94ce2
      uzrANgTA7dWh1/PcicM8emA3bu8Ksws+wjOXOXNJxxWvBZ0ao0ST4HvP7MwlBoue3sy4oYvA
      1BCfq03vhRtbreDuABqNgr3cir3cyr42J7CXFuAbqRTRaIRAIECFvXDm/0vpUxSFdlctNxMq
      bPBusnzKewBk2wjWaLWYSy2YS+Wz/07W1WilSR0pmJXyCu4OID3Y9E1Hqahu3+5q3JFRGKaS
      MW5096AKwfT4LfoGRgitLNHb28tyIL03im/V8ujSzqBoDWishdOFndkdQChotRoQUN/YhK+7
      F7cHOjrbmRibpczckNY7wgqh+0uSIMMA0OoN6D9+FerQQB/NnXvwTo2RTCZQUdLKCAO27B1h
      kpSpjB6BoiE/qipwezwY9EZmp6ZwuBpwT8/R6Nr+ldkkKVOKyPFDud/vx2Zbf5ZfMpmUdwCp
      YOS9LyqV2nidSEnKpx05GU6ScqXgJsNJUj7Jy7FU1HZkQowk5Yq8A0hFTTaCpaImz0apqO3I
      VSEkKVdkI1gqarINIBU1ORAmFTV5OZaKWsYBEI1GEUIQDQdZCYYRQsXrXUz7JXmyDSAVknUD
      YGZ0gA8vXmViyn3ns0QkyLlLVxBCZXR0gqmxUaYnRonFI4xNzuWlwpKUS+ukbglu9A1RajbT
      2+enqXE12eX2S/IgjsFow0oUTwL2NNUxNpLeS/JUVZVToqWCsU4AKBzc28GFa/0cOfHUnU+j
      IT9e7yKlZXZSCR9zKQ0NNWUM9g9hq6qXKZHSjrNuRtj4cC/Ts/MshXX84fNPrvn+9m6KoiDE
      J+95ul9GWCKRQKfTyQCQCsK6bYDgio/5hUVsFeX3/F5RlDsncSYnsxwJlgrJPQPgVt81RqYW
      0Gr1lJfndgk7ORAmFZJ7no2u9i4qrUZi0RDBYDi3B5QBIBWQe56Ner0BbYmVcksJS96FnB5w
      ox4iScq3e3bXzE+NoGqMHH/6RUpNxpweUN4BpEJyz7Ox2tlCR6Od1378d/zyzIV810mS8ube
      d4DJES58NEjXo0/x0O7cruQre4GkQpL3leFisRgGg0GOA0gFQeYDSEVN5gNIRU1ejqWiJnOC
      paIm7wBSUcs6AAK+RTyLPoSaYnp6mpSaXmeSbARLhSTLt0SmGJ+aQytUQn4jZeWVjE64aW9x
      5rZ2krTFsgsAoSJSCWIpgTZpwlZRzvJiehlhci6QVEiyvAMo6HU6FA1Ulpcy1D9EZW1DWhlh
      qVRKZoRJBSPrkeBsM8LkO8KkQpL1m+I/fQLLk1naqWSXjFTU5FsipaImJ8NJRU1OhpOKmrwc
      S0VNToaTipq8A0hFTTaCpaImz0apqMm3REpFTTaCpaIm2wBSUZMDYVJRy3o26OToMDHFSG2Z
      gQn3AjXOZmorc7uUuiRttSwDIM70tIcqRx0Lywke6upk4tYMVTbzfTPC4vE4BoMhy+pKUm5l
      GQBayu2VmNQYfnSs+PyoGl1aGWGqqsqEGKlgZB0ATS4HwWiKPZVlzM0v0NyUXkK8bARLhSTv
      i+PKlEipkMiBMKmoyYEwqajlPQC0Wm2+DylJ65ItUqmoyQCQippcFUIqanIynFTU5GQ4qajJ
      y7FU1OQ4gFTU5B1AKmqyESwVNXk2SkUt6wAQQmVhwYuaSjA2Nk4ild6zvZwMJxWSrANgcW6a
      wdFJpsfHqKwqZ2zCndZ+shEsFZKsEmJEMsbYtAc1FiGSsFBfWopmzpfWS/KEEHI0WCoYWSXE
      CCEQQmVmxo2t1MD0/CLVdS6qKywyIUbaUWRGmFTU5ECYVNRkN6hU1ORAmFTU5NkoFTW5KoRU
      1GQjWCpqclUIqajJNoBU1GQASEVNrgohFTU5DiAVNbkqhFTU5OVYKmpZB0AiFiUUjiCEysrK
      CmqaA1xyHEAqJFm/JM/rXcA7v0RZlQVVVfD6I7Q21uaybpK05bIOAKNei85ahhpTcbW5GB+Z
      TisjTFVV2RMkFYwsAyDF0NAt7LVOzBY9gwNDWCvq0npJHiATYqSCkZOMMFVV73Rv3i8jLJFI
      oNPpZABIBSEnvUCZ9O3LRrBUSORAmFTU5ECYVNTk5VgqajIhRipq8g4gFTXZCJaKmjwbpaIm
      V4WQippsBEtFTa4KIRW1TQdAeGWJ3t5elgORXNRHkvJq0wHg8SzR0dnO4rwnF/WRpLza/COQ
      UEkmEqikN8VB5gJIhWTTAdDgasA9M0ejy5neAeU4gFRA7uQDBIPBnFydw+EwZrN53e9TqZRs
      CEsF407qlsViyVmhGyXEpFIpNBpN1rNCd/r+t8vI9iIghEBV1R27/2bluv47birETt+/EOqw
      3ftvVi7rn3VSfLY2mw+w0/ffbBnbXf/tzufIdf3zGsqpRISe7m7GptJ7qfaa/eMRhgYHGR6b
      zLoOy/NuBkYnstpXTcYZ6O1ldmE5q/2FmmKwv4++/kGSamZTQkQqQe+NyyyHk8xM3KKnu5dI
      Iv1R9U/vP++epL+/j5VwPKv9hZrk0oXLZNpinBkfZHR6nnn3JIPDt0ikMql/nJ6PruALJ5kY
      Haavr5dgdP3VRz4rFY8yPDTI0OjE6t+vp5doUs1vAISX5qhufohUPJzV/hp9CfW1dpLJ7Brr
      qUQEbygB8VBW+we8U6wktSTi6Z84dxNEohEi0SwGDTU6au02YklBJAGtrhqWl1ey2r+6th6d
      IshoWtbH+8eTgpnJCfQlJjKd1VVT6yCRiDM5sYBWESRTGZSg0VNrLyOWEsQiEaKRaNqLsa3u
      bsRRW0UqmSKSgBZnNcu+YH4DQGswEl7xk0ikH7mfloj4GJleYldzY1b7R4IBFASLyysZ/3gA
      +pJS7HY7oYAvq+OryTh6Uxk2s554MtM5UYJUMkkikSSZiBMMBtHqDRnvn0wkGR7so7LOhdWk
      z2j/ZDJJIpkknkwS8i8SisSyqH8ci81Kla2UxUwCGEEqlSSZSJAQGpocdlYymH2QjPgZmfLS
      2tz4qb+fPr9tAHO5A0vMTZWrJav9NVojFVYjS74V6qorM97fUlFDWwU4HTVpDtvdzWyrxRaf
      Q1ef3pjHZ2kNJursZSTRYTJk1ouhJhPEFDOa2ArNrgaWglEcFet3N6+7f3yFysoqgv5lSs0m
      SgzpnQJqMkFcMaOJBWht242j3kWJyZjRv8G3EsJi1FFVX4vPH8BRX55R/VePH6SpsR5fKE59
      tTXt/RWtkUprCUu+FZpcTpaDcRw2U/7fFC9JhUQOy0pFTQaAVNRkAEhZCfiXCYTu35snhMrY
      yC2SQpBKxJhxz5FKxgiEo2u2DQX8+APBuzooVFXNqsMiXXkfCJMeDD9/9WdUVVZQ2/kYuuA8
      ZXUu9IqKtUSHzlJJ3DfH4KQXZ6XgtV9e5y/+XSunf/kaVXUOfBNRrk0nOHb0EQwJP/6kgX27
      W3nr9dewVlRQWrcbuz6C1lJF9+/fof3ks1SoIYKY2dPWlNN/h7wDSFmxVNTx3AunmOzvwbO4
      zO/Ovsf1Sxc4d+EyGq2Gdz+8SKVuhZHZIG27OzEACcXAY8efpKRUS3m1g48uX+D61csseFcH
      Fo3mCp55/hQLE6MseL2cOXsWk8mKw2HnF6+/wZk332btfWNzZABIWUmGlvj5z99h3742vIEY
      lZXlHO1yMRsrwaRTqLaZ6R9fwNVYR3VVBRpFodZWwttvvoEqyljxTGK0VuJqbmVpYQ4VUFIh
      fvHzt+jc18n8wjKVdjvOBju3Rty0tjax/9BBcj0FT3aDSpsmVIGiUei7dp6KlgOr4xNCoArQ
      aD4ZcRFCIIRAo9GsWR3ks3N0hFDhHqM1uZ6LJANAKmr/H8Wn/pEx5u+OAAAAAElFTkSuQmCC
    </thumbnail>
    <thumbnail height='192' name='IGAE trend' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAgAElEQVR4nO29aYxk2XWg97099ojcIvfM2tfu6iaLTVLsbpGiREkcQRyOJEocUSPJAxuW
      xyMIkIGBDBgeDfzDY9i/BwMbsGXYgmbTMiNqIIqiJJOimuzu6r2WzFqyct9i31+85fpHZGZn
      VkZERkS+3KLiAwpVlfnefds995577lkkIYSgR4/nFPmkb6BHj5PkSAWgUCgcZfM9ehyaIxUA
      x3GOsvnnCiEE7/zgu7zx9gdUsmssbO4fXN774Xe5/3iR3UptMpk8xrs8e6gnfQM9WiO39AEr
      Vj/x4hwfPcjw9uwGN69exs2uEho5z+0XrxINudx/57soyqvM3fuI8XOX+dM/+SO+9os/z6OH
      j5i+9gmunx896Uc5VfTWAGcEt2riC4YIBfzYjssLt18ls/YUSRIkkikEoOsG4aCPzY1NJEWw
      mqpw7do1CiuzJMsua6srJ/0Yp46eAJwRYhduo6cesGL6eenGVXILH3D+2i18gTDRSAiA5ZUM
      8tBlzg2GUI0Q0xNxRgbCxKZfJB7xMT46csJPcfqQts2ghULBc529VCoRCAQ8bbNHDy/ZWQOE
      QqEjuUA0Gj2Sdnv08IKeCtTjuaYnAD2ea3pm0B7PJcJxcMvlngD0eD4QQmDNPaX84YdUnzzB
      3thE1vX2BcA0TXRdp1opYToS4aCPTCZLNBajUsyD6iPg04/iGXr0aBu3XKb87nsUv/c9QCL4
      6ucIfPoV1MFBUNX2BKBazvO3b73PF19/lXQmQ2ItSbAvgKpopLIFKoU8SBLXb17vLS56HIgQ
      AlGtguOAJCEpCsgyKAqSJB2qXSeVovg3/x/lO+/ge+Emfb/yDdSxsX3ttiUAuj/MWHygdqIk
      0KNRhGUzNj3Go/v3CIbGUawMlhCorovruti23fGDNMNyHN5ZWeL2+CSq3BO3M4MQWCsrmHfv
      Yd69i5tKIfv94LoI1wVXgHCR43Fiv/aryO2Y54Wg+mSO4re/jbO+TvDHfoz+3/lnyFt7UfX2
      udoSgEohS2IzwUpsnaXH8/THxwiGNGYePCQyMEF2Yxmh+pjYkmZZllFV75cZrnD5zw/uspbP
      YQvB5y9c8vwaPbxB2Db2xgbm7CzmvftYK6so/f34rl+j/x9+HXV0tDbqAwix86f09h0y/+pf
      M/hbv4kcDDa/hmVR+fAj8t/6FpKmEf57X8a4dg2phYFR8iIgRgiBJElsN7U9zWSzWc83woQQ
      /PnDBziuy5cuXeX/eOsN/uFLn2Qg0Pwl9Th6tlUae3OT6swslfsPsNfXUfpiGFeuYFy/hjY+
      juzztdRW8a//htIP32Tov/ttJF2re4z50V2y/+EP0c5NE/rxL6JNTralPnkiAI3wWgCEEHx/
      fo6lXIavvfAyiizzOJXge3NP+NVPvoJ8CL2xR2e45Qrmw4eYMzNUHz/ByWVRh+IYV69gXL2C
      NjGBbBgdtS2EoPAX38acnWXgv/kNpF3ahFupkPk3/w57bZX+f/xfoMbjHV3jTAnAuytLvL+6
      wjdevo2mKEDtJf3R3Q8439fPJ8cnPbtWj/oIIXA2Nym/+x7ld99DVCro58+hX76McfkSyuDg
      oRaw9a6X++M/wVpdZeA3/mskRaHy4AGZ/+f3Cb7+GqEv/URt8dwhZ0IAhBA8Sib4zuNZ/tEn
      XiGo7zWzFqsm/+fbP+TXb3+GcIejTY/GCNvGWl6hfOcO5v0HoCr4rl3D/+lXUOPxQ3XAlq7v
      umT+4N+A4yAHg5gzs/T92j9CGx8/dNtnQgCylQq/d+eH/NonP03M7697zLsrSzxKJviFF17y
      dAR6HhFCgG1TuX+f8tt3qD5+jDoUx3frRXwvv4Ta33/89+Q4ZP/oj5F0ncjf+zKSVlsTOK7L
      eiHPWKSzfnYmBOCj9VXW8jl+4tLVhse4QvB/v/MmP3ruIhcHBg99zecB4ThYy8vYq2vYySRu
      NoudTOKk07ilMsbVK/hffgnfzZs7He60kSwV+X/fe5vf+tznOzr/TLhCWI6DKjefZmVJ4ivX
      X+AP3n+H/+qVH8E4AvNrt+AUCpT+7g1Kb7yBEutDHR1BHRxEGxsl0D+A0hdD9vv3LDpPK5bj
      slEo4LguSgf7Qaf/CQHTtlvq0AOBIFcGh7i7scYnxyaO4c7ODkIIrKUlCt/5K6oPH+K/fZuB
      3/ynJ6LOeIntOjiuS6JYZDgcbvv8tgWgXC7j8/moFPOYrkI05GNjM8lQfIhiNg16gHDgYDtv
      O1Qdh0CLU/B0rJ/HqYSn1z/LuKZJ+a23KX7vb0GSCP34F+n7lW+cidG9FUzHRgCr+dzRC0C1
      nOeNtz7gx17/LHPzSyAEmYCOPxjk8dwCVsUE4XDNY18gy3EwGix+n2UgEOCtpZKHVz9ehOPg
      ZLO4uRxuoYBTKOAWCohiCXV0BP+nPnXgDqcQAnt9neJ3v0fl/Q8wrl6h79d/FXV4uKXd0bOE
      7bjEgyHWC/mOzm/bF2g03g9U0fUoIcpsOjAZHyJz/x6BwDjyEfgCVWwLBamltgKqRrZSPjIf
      JM9xXexkEvPBDNWZWZylReRwGCUcQQ6FkEPB2t8D/ZTfvkPh+39H7Nd/DbnBaGetrJD/D3+I
      KJUJvP5azRdma/BwXBdc9zif7sgxLYvJaIzlXKajb962L1AqmWJlfRDXTrPhqowPhpi5/5DY
      0BSZjSVQ/Ux67AtkuS4+XW+pLVVVkSUZS7j4tdPrlu3k8hS+8x3Kd+4gh0IYV68S/sKPop8/
      33DnNPTaa5TefIvU//q/Efm5n8N/+5M7Jl+nUCD3R3+MtbxM9Od/DuPKleN8nBPDQTAYDLFe
      LCDJctsL4bZ6py8U5dVXXwVADNdMjZIk0R+v+QKNDsZqP2vrFg7Gdt2dnd9WiPgM8qZ5KgXA
      yWYpfPsvKd95h8DrrxH/73/nQGev3QQ+/QrGlSuk/q/fo3znDtGv/QKVDz+i8BffJvSTXyL2
      jV8+8o2p00TVcfCpKrqiULHtfZukB9Hx8Lx7s2n730e1AVW1bYw2PupAIEiiVCQean9RdBQI
      x8HN58n/xbcp37lD8PXXif+P/8OOatIuSizK4G/9JsXvfo/Nf/m/4L99m6Hf+WcoHSwCzzq2
      66ArKiOhMOuFPBf6B9o6/0yYAizXaWsGiAfDbBZPLjGvWypRXVzEejKHOTuLvb6BHAzgv32b
      4d/95x13/N1IskzoC58n9IXONoC6BdtxCWgy8VCY1XyuOwXAtGtS3ioDwSBP0sebFNYpFDA/
      ukvpBz/ASWfQJifQz58n8pWfRR0dRTKMnovGEVDdGhz7/AHeWVlq+/wzIQCW46C1sbgZ8AdI
      l5ubQoUrsNdWEaaJHIkgBwI13VlRmurQQghwHITjIEwTc/YhpTfewEkkMV64SeSrX0WbnHiu
      9PCTpOo46IrCUDDERiG/E5vSKqdeAIQQWK6D3oY1yaeqVBqYxIQQVOfmyP3RH7OwucnY1BRK
      Po8oV2qdW9TMhJKmIakqkqaDWhMKt1TGLRZrUUuKjKRpaOMThL70JYwrl0+NjX0tn2MwGHou
      QkUtp6YdBHUd23WpOk5bbjCnXgBcIdoOdFEVBV1RKFZNgnrNpCiEwJydJf9n/xlhWUS+8rO8
      mU3yk5evcXFgsNb5t+zkwnURlgW2jbAshG2D6yL5/cihUK2jy3ItkPsUqjXffHCPz05N88Jw
      96dCt113R9BjPj85s8KQ2noc8ZkQAKWDTjYYCJLIZtFKFcx79yi/+x5yOETk738F/fx5qq7L
      5ncXKFpVYMuCta0CAZzhuIKqY/PO8tJzIQBVx94xkMRDIdbyOYaCXSYA7cwA1vo65bfeJpBO
      8jj9NwQlBd+N6/T941+vuQJstbWRy1KxLAqmeVS3fqJslgrkzQphw1u/rNOG44qdGWA0HGW9
      kOPFNs7vUAAcPnz3fUxXZnwkRiKZJTo0Rnp1AfQAt1647tlmmCtc5BZ0WTuVIv/NP6O6sEjg
      s59h4vZtlhSJgSvX66opy7ksF/oHyZkVj+60faqOw5NUgmtDw563/YnRce6ur/HZqXOet32a
      cIS7M0COhMO8t7rc1vmdCYCQcIWL40Kp7HDjxZs8enCX6MA0ipWl6qEvUNW2QdCwHSeTofjn
      36I6M0vwyz9F6Jd+EUlRGCoVeffRTMOaB/PpFNeH4qzkcyfmN7SQSfGn9+9yqa892/VB2K7L
      zaER/uT+R3yqy93CHaeWS8i2bQKKSqZcaut7digAFrajYAgbZMHD2YdogUEyqSWQVcYlCdkr
      XyDbRlX2t+OaJvk//Salt94m9BM/Tt8vfg1p1zb4UChMzjRr91FnBkhXyrx+/iIPU4kjyV3U
      CmuFAulyCdN1297Cb4YrBEPhMLIska2aXZ0yxhEuuqahqiqqqqKrKlXhEmjRDaazLy8bfOL2
      LYSQkGUJx3FQFAUxMQKS7KkrdG2r+2ObunBdit/9HoVvf5vga68x/D/9C+Q6nUfestBYdcxi
      edNEkWX6/AFM227bduwVy7ksU7F+VvM5LnkUxmk5tY0hWZL41Pgk764sNQ0lPes4Quwx9w4F
      Q2wWCkz3tRbo03FflWUFRZGRJAlVVZF2Rn1vO1J164MK16Xy0Uds/s//kurTpwz+9m8T/vJP
      1+38ULPqhHSdfB0dfy2fYyQUQZXlmovwCSCEIFkq8tLoGE893LWuOg7aVvjojfgI9zc3sLvM
      BXo3ruvumeHjwRCr+VzL55/I3C+EwEomSZgmo3USlu7GtG2UdJbkv/rXiEqZ6Ne/jnHxQkvX
      GQqGSJSKDD5jFpvPpJiK9aFIErbrIvDeg/UgilYVVVa4PDDEN2fuejYLVR0bXa0JgKGqDAQC
      LGczLY+IZw1biD0u0GORKB+utV4N89gEQAiBvbpG+c4dyu+8S15V+MsLU/yDmceEv/xl/J/8
      xL7MA9XFRdLf/z6ScAi+9iq+l2611UnioTAbhcIeK4sQgsVshpdHJ2prFFnGdtrbafaCRLHI
      QCBAv99PwTRrU7kHAmDaNr5dflOvjE/x7upyVwqA47rIsGcGGA6F+XYbLhHH8tWrT+ZI//7v
      I8ky/tufZOCf/AbBcBj1w3cZ+ImfIv8X3yb3zW8SfP11gq+9SnVhkcK3vlXbjf3sp4kMD+G/
      fK3t6w4GgtxJp/b8zBEuJcuib8sjM6QbFKpV+o9ZAJZzGcYi0S1VzaBgmg1zHrXD9hpgm3N9
      /fz57H0qloXvlKY26RRH7M8E4VNVLMdpeQP1WL66Ohxn8Df/KUos9vHPLKu2jT00RN83fhk7
      nabwrb9g/Z//C9ThOJGvfAX90kWW1lbQK53Z6mN+P9lnzs1WKgQ1fWfUCOo6xapJ/zGWcxVC
      sJzN8unJ6VogUTjCci7riQCYzl6jgaYoTPfVEgXc7LKdYccV+wRAkWWCuk7OrNDnP/ibHosA
      1It4kmUZZ1dOLrWvj9jXf4nY139pz3HWMx+0HSKGj6JV3ZMzZj6T5nz/wM70GDZ8ZM0Kx51V
      dL1YYHgrYGcyFuNpOsXN4cMXsrYce58698rEFH/1+GHXCYDtOnUd/kbCEVZyuZYE4MTcBVu1
      wFSd9mIBdiNLEn5V2/H3AVjIpJnYlUYvbBgUq9V6px8ZjusiwY55djQcacty0YxqnQEjHgyR
      LpfId5nbh7XLEW43I6EwGy1miehYAITrYttObXG7ZUt3HQe3RZPbtgpykBCYtt3xDAAQ9fl2
      1CAhBOuFPKPhyM7vg7pOoXq8HWOtkCceCu28gz5/gIptY3qSQcPGeGbAUGSZWyNj/Kf7H/F3
      83O8v7rMk1SStXyOsmUd+ponRaNscKPhaMsDSocqkGD2/kfo4UECkkkyXyIQHSC7sQKav2Vf
      IF1RsBynaSR/u+GQzzIUDLFZLDAZjVGyqliOQ2DX3kFIN3iSOt7osdV8jrHw3pypfX4/mUp5
      Ry3qlKpj190FfXX6PDObGxSqJolSkafpNEXLZCWX4zd/5PUzmUqy5gq9v28MBAIkSsWWHCk7
      fGqTRKJIzJWpGn6uXr9a8wXqn2rLF0hXFIqm2dT8V7EsVKm1nED1GPD7WcplsW2b9XyO0XBk
      T1sBVSVfqXjmD2S5Dv/x/l2+ev1mw3ymi5k0t0bG9lxzNBRmIZ1iwHe4hXCpWiWiG3Wf50qd
      3eZ/99H7bBbyjJySBALtYFrVun1DAjRZJl0sEj2gGk2HAqAT6wsgHBtdh9mZWXyhONnkEsha
      y75APlXDQTQ9xhYCf4s5geoxHI7y3toKqqqykM0yGY3taSvi91OyLc/8gTZzRd5fW+ETYxNc
      HdpftUQIwVohz8/E+vZccyrWz4frq7wyOX2o6ztC4NeNlp9nLBJlvVhgItZ3qOueBAIJTVHr
      Putr5y7wBx++y49fvMK1oXjDPYEOv7rMjRdvIYRAluXadrQs447X/O1b3c7RVRWzgbfmNtau
      gIdOCBk6pS09dyWX5YsXL+/5fUDTqViWZzuxK1t+Pe+tLtcVgO1cls+qHPFQiLVHh18I11sE
      N2MyGuPexhq3z2B1Hct1UZX66vOLI2OMR2J86+ED7iwv8jPXbtS1CnW8CJYkacdPf/ff7XQi
      XVGoOs1VD9sVh4pt9akapm1juy6pcqmuvV+VZc/8ZZayGT5//hKpUpGKvX+BmS6X63pnhnQD
      R4hDL4RbzaS9zXAozNrWzulZw3Js9CZp8/sDAb5+6xN8amKS33/vDt97+gT7mQH3RKOmdUU5
      8IMftEg+CFmSiPr8LGbSBHS9rklVVRRPBGC3leniwCD3N9b3HbOcyzK2ywq1jSRJxIMhNoqd
      JXndpuq0ZzXza7UBwj2DAlB1nIYzwDaSJHFtaJj/8pUfIVcp850nD/f8/kQFwL81OjfDEfVt
      ve0wGAhwZ3lxj/lzN5qsYB4wE7XCdlYCv6ry4sgY764s7xtZl7IZJqKxuudPRmMsZTOHuodK
      mzOAIstEfT6SpbOXUdtynH0m30b4VJWfunKNR4nNPYPdiQqA0SR9yTa26+6493bKUDDERxtr
      nIvVdwgLebQZVvM8DSLLMsOhMJbr7Gt3s1hgqEEu0IlojMVs9lD3UK2zD3AQk9E+lnOHE7yT
      oNFGWCMUSaY/ENiTSv3EBeDAGcB1O8oKsZuhUIiKZTHRoF5ZaMsf6LAsZ7OMb+0yy5LEzfgI
      H+xyzTVtG9txCen1M07Eg7WsBp2qI0IIBLSdRmYsEmHFo53o48Rq04tXkiSuDMa5u76687MT
      FQDfASqQEALHdVEPmWVtKBBiKBhqGCYXNgxP3AQWs2nGIx+rNy+MjPL+2spOh06VS0T9voaG
      Am0rn1Glw91ZV4iO4hpGw1FWcoebeU4Ca1fwT6tcGRxiPpPeUU1PfBHczApktznFNSKo6/y3
      n32t4WI6qB9eAFwhaju8kY/XGTGfH5+q7iTqXcllGQnVX4cAO56hnY7G26bcds25YcPAtO0D
      LXKnDauBM1wzwoYPVZZJbaXO7Hz3Rwiqlo2mKZTLJn6/D6tqIikamtqaVPo0rekawO6w8t+z
      SJLU1Bc+rBuHHgHLW3sJPnXvdT4xNsEHayt86dJVlnNZrgwONW1nYmsh3EmMsIug9V2YvUSM
      ms9Uo6RSYkvAE8UimUqZdLlEzjQpWVV+8tJVzreZldkL2q0bsc35vgFmE5v8yFSw8xmgkNng
      +2++y9riHMvLizxdWmXmwSz3H8zSqgZrHGAGtd3DmUBbJWQYh3aISxQL+0IvoTblPtjcwBUu
      q/kco+HmdZMnojFW8p0JoxAgSZ2Fd46GI6zmGs88iVKRf//he2wWCwR0nVsjY3z5ynW+euNF
      /tODux2rbYehatttJU3e5kZ8mJnEBtDhDCAci5knywR1iUJZcOHKBR49uEs4No5iZVr2BVIl
      mbJlNTzGtCw0WT7yvD0qEpUm99EKS9kMU9HYvjZ0SWYoEOTR5iamZeFTmj9PTDfYKBQwq9W2
      hb9qWUjQMBdSM4aDIRYyKW7U2b0GeHtpgVenz/PyyNi+3/3o9Hn+5N6H/PyNF481u4Zp2x35
      icUMH6VqlWKl0qEKJMlcvnyJubmnhAIKsw9mCURHyW0uIxSdiRZrhAUkiapbS6lS98VJEqqs
      HHnenoBh1DZVDnGd5XyOz02dq9vGpyam+O7cI2L+AMYB+WpUamuHom23HaXm2ha6Wt835iDG
      YzHeXlmqe67jujxKJfn8hUt1f//y2AQPEhvcTWzw8uh429fuFEcIDK0zP7Fzff08yaQ6EwBJ
      VohEIrz00i0Ahrd8gcTIYC1jcqvtbP3dKCtDM18PL/Fr6qHyAwkhSJVqQe71mI71sV4o8KmJ
      1vxtLg4McndjldfPXWzrPqpO567j25mVa1FWe9tYzeeIGr6GVjRJkvjZ6y/we3fe5HxfP9FD
      erS2ymGe9/rQMO+sLHljBdr2BZLa9AWSt4SlkR9KbVv/6P3UZUlGVRSqHagOACXLQpbkhkX5
      NEXh9XMXDlwAb3MjPsy99f1uFAdRsW18Hc5i24nCno2hBnh/bYVbo/tVn92EdIMvXb7KH979
      4MB9DNO2WcykeWPhKf/+w/c6iscQQuAKF6XDPFRTsT5W87nTkR26kQAcJh64XWpFNayOAkOa
      7e5u8+r0+Zbb6/cHkCSJZKnYVlrDTnaBdzMcCrFRKOy5puO6LKTTfPHC5SZn1rgyMMTM5gZv
      LDzdeV4hBGXLYj6T5lFyk41iAdO2GQwGGQtHOdfXz1tLC23X9qq1TcdWL0WWGQwET1YAtmeL
      Rm5oh5ni2sWn1kyyzW009VnMphlv4N+zTTszoyRJtVlgY53Xz7WWBAxqrtaHiewaj0RZzmW5
      Hv84j9JSLstAIIC/hZQqkiTx01eu8b+/+QZ9fj+bxQKPkglM22Yy2seVwThfuHCJkP5xvbSK
      ZfHm4kJH9ytov3jKbm4Oj5zsRphETYIbqkB2685OhyWo6x3VChBCsJzL7gm094Ib8RHurq+2
      5aZcbbOY4LPUBCCz55ofra1wq42Fra6o/MILL/HB2go+VePnbt7in3z2NX72+k2uDsUJG3t3
      wn2ahqbIlKz2fbFcITiM0eny4NAJC4AkoSkyVgPdu3rIeOB2COud7wVsFAqe5xXq8/uRJIl0
      pdzyOYd9X2HDt2dH3HFd5jNpLvS3l1VuJBzh67c+yWcmp1tKTTISjjCfTrd9vzXXj84lwKdq
      JysA2zdRL3AEDq/TtkOoQ3+gkmWhyrLn9ylJErdGxvhobfXgg7doNxjmWTRFwVDVnYFgLp1k
      KBg6ckPE+b6Bjr1RD6MCwQn7AkHzio7HuQYI6npH0/BKLstENHYkG0C3Rsa4t7HWsndo1bEx
      Dvm+JiIxVrZ2hN9fXeGlA6w/XjAZjbGQaW8GEHRWQPFZOhaAaqVMoVhGCJdsNosrBOVSgbLZ
      3pa4rqoNzY9Vx8Zo0a/osAQ1nVwHM8BiNsPkAQvgTgnqOn5NJ9VisMphZwCoBckvZTM1U2U2
      w4V+b+oWNCPq81GyrIaqcD22B4XDDjwdC0AylWRudpb5+SdkMinmFpZ5/Hiex48eNbTq1GPb
      /FiP45wBakEx7QvASi57ZAIAcDM+wt2N1tQg0wOVcSxSy1P6NJ2qZdA4plrDQV3f8dBsBduj
      9WHHb0tXJPRIDGHZTF6a5NH9u4TCNV8gq40aYYokU6nW98MxbRuFznMCtYMmyW37AzlCkC6X
      Gubh8YJL/QP82w/f5XOT5w5c7m2nCz/MvfQZPtLlEu+uLPLJsYljq592LtbHUibdcl4ks3q4
      fFHbdCgANg8fzjEwPE4gqDL7YJZw/ziZzRVQjJZ9gaAm+VW3vh+O5dayuB1HDS+DrXI7bVyr
      VKng0zT0I0w7HlNV/JpOplJhKNS8/q0iyx37xuzGr2ms5vNcGBg6thlgMtbP3fVVbk9MtXS8
      Y1U79nvaTYdnq3z2tdd2/jc0UvMFGh+u7ea1o5UZqlp3+x1qdu3jUoE0pf3UKMu5LGMe2//r
      cT0+zL3NNT4futT0OFmSPNk5HwnXykcdV+evXTPMdx7PtuyPZTv7fZY6wVtfoA6ikQyl8SLY
      dtsPeesUWap98Hby8ry3usyNI6jx+yzXh4brplh5ltq+yuHf1xfOX+IL55sLm9eEdAMhaDlZ
      77N1EDrl5M2gmka5wSLYCzNXO4TbCIzZLBYoVM1jKT0U1HV8qkaiWGx6nLy1sXhYIj7fngTC
      x0U8VKvp1gqNagO0y4kLgLaVIboexy0A26WKWuHNxQU+MzF9LPcnSRIvjIzuyTBR9zikY5sx
      j4LxSLRlz9Ca20cXzACGotSqwdfhuAUgoOkUWsgPZNo2c+kk1+JHr/5sM7xV5OIgTqLesVdM
      b7kot0LNDHp448ieFhZm3uf779wDYPLyC7z2qRcPfYGD0JusAdyt5LvHRc0d4uB6ZD9cnOfW
      yNixuWrDdi2z461kc9z0+QMt7wVYruv9DDB19SU+ceMivvAgIfV4iitrTQJRXCGOdYpqpZPZ
      rsOHayu80qK5zisCmk7+mCvZHDeGquJT1JYGIcs5ojVAMplgY/EJ86vHUzXFUOvnBnK3s5wd
      4wwQMXwHqkAPNjcYi8Q6jrzqFENVqTpnM4ltO4xHozxtwTP0sJWDttnXu0ZGx7n24kv82Oc/
      d+jGW0GVFRwh9n1Yy3Gapr4+Cg5KkSiE4IeL87x+7sKJ6NqarLRUWPAsUwtVPDgtzJEtguMj
      o2RWHvFnf/m3bTUkXJsP33+XD++1nhdoG1WS9n1Yq4XU116zXTS7EYvZDJqsMHhA+ONR0ayy
      pjhkcMhpYSISYy6VOjAQyCsz6L55fG1xDrlvms/fPDgGdDeOUyAcm9xTI6xarVLcsl0rioLr
      uh/nZNy6+e2fFUpF/Jq+8/+cWUGVZEqlUt1z4OMiHbvbVRSlFjC9dUy75xQqFUqlEpIk7Tvn
      e08ecXt4lGKxeOjrbJ8jSdJOHp+DzpGEIF8qgWHsO6dq2ziWTaVS2Xd+o/fe7D4kQ5EAABh9
      SURBVJrHdc6z70MFylaVXKGAtuVOU++cQrlM3BegXC4fqk/sE4Cny5tEAlHee/89xsZ++tlf
      N0SW/eSzDxFIOzXCdF0n2MJo6dM0NN3AZ3ycNTm35QcUOOYK7oauoRnGPv0yXS5RsC2ujY4d
      S7a6eoR9foQi46tX+M228Pt89X93xoiHwpQRRJt8e0lRCAUC+P2HS8Gy70t+5pXbOHaVKzde
      aq8hRefKlYtcvXalbcuNIsvYYu/Ubnu0ym8XRdqvZggh+MHiPLfHJ0+s88N2TeP6KprjUSLh
      08BkLMbSAblaa3lBPbYCua6LPzrI6z/6Ko/uftBmUxKGz4+ht+8ZqckKtrO305mOc+y1a7dj
      lKvuXrPs03SK+XSKl+qkBTxOAk2i1rzKpH0aGI/EmDtgR7hRjeB22dPDMusL/NX3367dxIXr
      h268VfQ6ptB2a115RVDXyVUqRIyaKrGWz/NnM/f4xsu3j80ztREBTafUYAboJgEYC0f4862U
      8o2odlAboB57BECSDL705Z+iXLaw24jOOSwBbf/IZtqHK4/aKVHDvxMcP59O8ddPHvG1F19u
      KbvBURMxfHvK++zGcpwz7QaxG5+mIcRWAYwGfaC2D+CxFWjl0SxiZJiVtSxOLsPE5MShL9AK
      hqJi2nvVjmobBdC8JOLzUaiaJIpF/uP9j/jll26fmNnzWcKGweNUou7vDlte9bSxnS6noQA4
      h8uBtM2eFsYuneOv/+4OAMNT7ZlBD0O9uGDTthvW0jpKQrrOfCbNm4vzfPXGi6em80MtUquR
      v7wXVS5PE5qiYLmNg+RrwuHxIlj3B4mGAywvLWEcozlN39rm3419TJmhnyWkG7y1tMCPnr/E
      VKzv2K/fjGYJBLpvBmjsI7ZTO87riLB8ap1EpojpwIWp47N4+FSNsrX3A3qR4aATJqIxfuXl
      T/HiyOixX/sgdKV5DqVuorYubBwo5dW2954eNnL+Jr947ga51CYbyST9kcbTfzGfoViFob4w
      K6vrjIyOUsgkQA8RDbW3OXGarECGqnK1QZWUk8anqliOUzdutmxZbZUMPe0ENI1yA5OvEOLQ
      pXO32fPGHrz5XdyBcf72r75DdHCCy+cbu/yWKxbJ1TVyGYNYLMbjuac4lgNugvCN621thvmU
      /fWCq45z6PKo3YYkSaiyXLc+ru26hM5wNNizNFvveBkotectRvsifP/+HLdffoHFRH2vSLOU
      J1u2cc0iRmwAzBJ9/X0kN1bx+8eQrWxbeYGg5gz3bK0w07ZROVyOm25EVxSKprlvgKlYFoo/
      0DXvy6eoFMxK3eexbBsJb/rGHgEYvniLzxlPSRUsvvxy/awARiBMPGBz54ezRPrj9EX9zNx/
      SH98mszGEkL1o7eRFwhqNbqsZ3IDWa6DXzeOJSfQWcKv6djsz190nDmUjoOQYbCSM+s+T1W4
      Lfetg9jTQi6xzLsf3gfAdCVuv3Cl4Wm3P/OZnf8NDI0hSRLDA7UcOe1OTqq8PyfPcVaHOUs0
      Ug1OwnXkKPE3WQQLcfis0NvseWOx+CQ/8zOtFXLbzfaCrNOdSKWOAJjHmBTrLBHQtLqpW7xI
      jHuaCGhaQ78nV7ieCcCpcB5Rn/HArIVDiq7xbfGSgKZTsfbrvlXH7qr3Zaj7DSPbVD3KCgen
      RQCeSUvYabnS54FGVe2FqLlydwuarDRMVWl7lBECTokAbPvgb0fwHHc+oLNEI9XAdt0TjVXw
      mmauEF6mzT8Vb2w7p+X2AwshDlH5qbtpFLfsHKJm7mlkO2Ngvdhg23HQPBL2UyEAsJUga8sj
      1O2pQA3xa1rdvDmO66J2kQokbyVarqcGeVk88dS8sd2RWC4CuTcH1MWnqvui57adw7pJBYKa
      ulfP+c92vHGEg0MIgBAuyWQK4dg8fTqP4wpSG6ukcq1l930WXVF3kuQ6W56gvVlgP6qs7Iuf
      dlx3J8NEN2HUcZEBb/eIOjYcJ9eWeLCQYHIgSN/QEI8ePwEhg50heuM67d6evsv9tdrbBGuI
      Ksv7ZgCv8mSeNnyaWnczzEsVqG0BMEt5Mvki84vriKpJxQ4TCocRK0sY/hFkycEWAtrwBQLQ
      ZJmSaWLbNpVqFUWSu8avxXsEZrW6o/KUq2ZNMLrsfRmKSqlq7nuuqmXVNk+99gVq6aYCYeL+
      EIODQywtLRMNaszMPGRw+Bzp9UXQAm37AsGWj4twUVUVG4FP07rGr8VrgrqO6bpEtopYOGZt
      46jb3lfIMDCd/fXjbCEIetQ/OmpBkiQURWF6uuYuHRusBY/E+292fCPGroLZpkd5H7uV7SQC
      ka2ovZPIo3ocNAqK8SoxLpwiK5Cxq2C23VsDNOVZRzHTtrsqGGYbf4NNPy8XwadGAHbHu5qO
      7UnEf7cS0LU9pZwstzsHjICm1/V89SopFpwiAdB3mbyOs0L8WSSo6ZTsj0fGZulDzjIBTaub
      CMxLK+GpEQCf9rEAeOns1I2EDR9F8+OOUTmhBAJHjU/VKDfYB+i6GcBQdi+Cra7ybfeagK5R
      3KUbm7Z97BVrjoOAXguMf9YfyPXQ7+nUCMDuYnm9jbDmhHRjTy2zap0g+W5AluSdUlm78TIP
      6qkRAP8uv4+eADTHp+61jlRsqytVoG2X+GdnAC9dvztupZhLMbewgmubPHkyh+W4JNaWSaTr
      J289iO2wSCHE1iK4+z6oVwT1mnVku2PUcuV334AhSxIC9s0Ajis8C/7psBWHp/MrxAf7WXj6
      lKF4H0+ePCGVt0itLdFJjjJZkkDUHrbq2J75e3cj0taf7cKCtSx63SkAcp36cY7wTgXqyBco
      Wy6Sy5ZYmL2H7YswGQgg7DK6fxgZG6cDXyDXdXFF7XjbqdXD6jbfFq+oBQxJVC0LTVFqOYEk
      qSvfl09RKVQqKLty1dqOg2ijbzWjM1+gQIjyWJ6SKZgYijA785ih0fM7vkBaB75AkuvClouF
      I1x8XZTjxmuEEDUdeOv9Vl2HgNGdOZQCuo65K2eU2Cqpa2iaJ+7fHb4xiekLH6dP7xuo5dIc
      jHVeVUaWJMTWir+bqp0cBZIk4dNqO+d+TauZQbt0zfTsbrArhKexD6eml0lb+p7rup5udHQr
      AU2nWK1uRYOJndKf3UZA32vxsj0O/TxVb62282f1ZoAW2B4ZBbVM4d0VC/YxfnVvJjyvs1+c
      ql6mq8rObnC3xbd6Ta1kqrljCu22cMhtapUxd6tA3ma/OFW9zKdqFKvVXk6gFgjqWyrQ1v+7
      9Y0FNI3irkRgXmsHp0oADEWlWK125aaO12y7Q3T7DOBTNcxd1W8cVyB36xrAr6kUtuJbezQn
      oGnkq+bOZlh3dv+toJhdfk9eboLBKRMAXVEpW1ZX5bg8KgK6jmnbO+GB3TsDqHsqYFoeFcje
      puOeVq2UKZVNhHDJ5/O4QlApF6lU6+d0bwVDVSlZ1d4CuAWMrQi6bq+jENB0StW9ViAvq4d2
      uHviMDPzENeFvv4gjgubqRylXBohKdx8ob0aYdsYikreNLv6g3qFX9WoWPaJVdM8LhRZRvBx
      5juv08B34AtUIFsycR2LqithVuHCpWkePbhLKDKOUs20XSNsG02WyFcq9Ae6p9bVUSFR04fz
      lQq6onT1+1JlmYpVrQVNWRaahzmQ2hYA3R9kyKezuqiiyy5+v8rsg1lCsTGym8sIxWCiA18g
      gKDhI181GY1Eu9KvxWsMVaVs2xhdnkNJUxSQan3JFWCo3j1v261IkgSSzq2XbyFgx31BlmUm
      RgYAqWOLhKYoFKomhtpTgVpBkxWyZqWrVSDYriFXM4VarnM6rEDbvjvAjh+KJB3OSclQlFrB
      5y7/oF5hqArFavevmXa7Q3i96D9V5hZdUXeKZfQ4GL+mkyqVul4AfFrNRwy8T5lzugRgS/Xp
      9indK4K6TqZS7voMGrtNobbrno59gKPAUFRkSULz0M7bzYR1g1S51PUCENT1HZdoy3E83Qc4
      VT1NkiR0RempQC0S0HXyptn1AuDf2iCFWry4l2vEUyUAUDPtdfsH9YrQVnp0L1WC04h/V1RY
      TQXq0hkAtgSgtwZoCZ+qIUHXz5i1nFG788ae4AxQqVQQQlApFcgVygjhkEwmcYWgmM9SrNQv
      b98qhqJ2/Qf1iqCuI2+pjd3MdvAPbOdAOiFXiGo5z/ffep8vvv4jPHkyjxAQDukouo8n8yXM
      YgGA6zc78wUC6PMHejNAi2iygq6qXS8Au+uiWY7tqcrXck9LrK8Q7IszFh8AquhGjBBlNm2J
      G+dGeHT/HsHgOLLVuS8QwD+4frNWCbGLfVu8QmbLcgZd/b5UJEzbwrZtHNf1LCdQre0WGYiP
      YhZzJBIJVmKDOFaKdVdhfCDMzP1ZogOTZDaXQPEx2aEvUO2GeqN/qyiKQjwUwq8bXR1G6pMk
      LLdWP04Amof10FpuRZIkfKEor7/2OgBieHDn5wMjtcruY/G+2s88ubUeByFJEr/2iVe6uvND
      TQVythJiuUJ4+rwdi9Fun5/tf3drVNJpRu1y/R9q/cpQFEzbxhXC03526sygPXrUw9gKjfR6
      BugJQI8zgU+tpYAUPQHo8TxiqOqOCtQTgB7PHUFNJ1upeJoYF3oC0OOM4Ne0I8kZ1ROAHmcC
      v6aRq1Q8rxzUdmulUgkhBKVClkQqi3AdVlfXcIUgl06SK1Y8vcEePaAWFJOplD0Pl21LAKrl
      PD94+10AiiWTzcUFnjx9jKLC47l5ltdSLM/P4R7QTo8e7RLQNLKViueOkm37Ao3G+wFwrTJ6
      rB+pWmZgcID05j38gTFkK3soX6AePephKAq5SpmYz+dpn2pZAAaHx6gUsqRTKVbWN1hdXCU6
      MExfxM/M/Yf0xafJrC+C6kc/hC9Qjx71CPl8ZM0Kuod+QNCmK4QvFOVzn3sVgPGR4Z2fD8TH
      kCSJkYEo0PMF6uE9mqzgCuG567cnotTzBepx1CiShKGoPTNoj+cTWZZr6o/H8c89AehxJlAk
      Cb+meZ42sycAPc4E0o4K1BOAHs8pQV33fBHcE4AeZwa/2lsE93iOGQlHiPr8nrYpie06m0dA
      NpslGo0eVfM9njOOoiRs23mBvvfW+3zx9Vcp55P84P3HvHA+znoqR2RwlMzaIkIL8NKL13ub
      YT085yj2mVoWgNTmOoHoYC0vkHB4PL9GX9hHvuxy48WbPHpwl+jANIqVpdrzBepxRmhZAGL9
      g5jlAivLy4QjMeLxIebmnqJHAszOzGIEh8gkF0HWGJck5J4vUI8zgCdrAMdxUBQF13VhV+mk
      3hqgx2nHk+FZ2bLNyr0C1z3OGL0e2+O5ZmcGKBQKOI7jaeOlUsnT9nr08JodAQiFQkdygWfX
      ANvrhd24bi2I8lkVqt6x9X7WzrFCiFpypRau5boukiTtM78dxX0d5zvovcOPf3YiG2GWWeTp
      /DKFdIbw+BQXJ0Ya7hsUMik0v4+HD+eIDgwxORpveL3M5hob6TyuY9E/PEm8P9zw2MT6MolM
      AVyXqYtXCOiNfEwETx/NoAT6GYz4cBU/Qb9W/0jhMPfoEeVyBUvxc+vmlYY6plnMY8kqy/NP
      UY0QF85N0sjMXSmkebywiaG56MF+psYavQPB+vICmUIFgcT5i5cw1EZ3IHj04B7B/lECKvhj
      MfQGazjHMpmbm6eUy6H2x7l+Yarh9yplUkiBIHOPHhMI93FucrTBkVBIb7K4nkGRbEJ9w4xt
      hdvWI5NYYy2ZBSEYn75A2K83fK7FuUc4aojx4QjFskws2mj32D2ZNYCEhGPb+DQfQ6NDTY8t
      ZDMk1xYID5+jkMk0PXYzlUWXLAbGJskmk02P3djMcPnyFc5NDrC8lGhypI3lGqhOgaeLy1Sq
      zfc1XMfBMHwMxYeabgZWK0U2NzbQAlGqpQLNRqHkWoLhAYOqPkClkG18oHBJpItcuXKFkT4f
      G4lck1ZNhBzGKmyysLCK0ySTgSSB69gYmo94kwEIoFTIkVxfwt83Sinf5F6BRCJN1A9G3xiF
      TPPvtbae5NLlK1yYHmZlab3JkYKKJRFWLeYWlygWm1csOhEBUI0AU5PjVF0LXZKbdpThyWkK
      hQqLj+5x7uKFpu1OT45SqEosP3nM6OR402PPT4/x9ps/4MHTNBfPN/uoGgMDIfRABF3XCQYa
      jTwgSQqT09O4VhVVVZs+V7h/GNWpsDT/hPjENHKTg0emp1jbLOBml+iLNx5RkRQunBvj4ews
      WVNheKDxDAg+hkdiTJ6/TDQSQG1yA7JqcPnadaKxMI2fvsbA+DS6olPObDA2Mdn02PGpCRw1
      hFxK0N/suYDpqVE++uBDltZzTE+NNDlSJhYN4u8bYSAUIhTxNT32RASgkFxjYT1NFZe5mYc0
      U8I2lubRIkMYqmBhYbFpu8tLK8RCKlUhs7nZfERZWFzh/MXLDMdUFldSjQ8UNqvLG7V7tE2K
      Favhoa5TYvbhAv0joyQW5qg0GVULqQ1K+Lhx/SqrC09xm7yD5OoKob4BRkbH2VhdbfJUgkQi
      hT8QwK5k2EgWmxzrkthYZ2lpmWQyjdXkBpxqiSdP5rBkmUf3HtDMVGIWUuRNQTgUYG7uaZMj
      oZDP4To2KDprKytNj11aXifkU4gNxlhpOmO7JBIp5h8/RPHrFHLN8lSZJ1OORTN82GaK2MAw
      YaNW9aPR+OML+ElsZoiPn0OjufrhD/hIZ/NMn5vGMc2mx4aCPlKpJLg2wxNNDACSjN+nkEwm
      cRyJgFFf/weQJB1NqRUNlHQ/WpPhxQgEsNeTJK0KRjDUUP8HCEbCbK4mMGUIhWNNnkpC9wUY
      Gh7GNnPkS81852UCwRDDo6MEdR2lyfUVzSAQDDE6EkdXms9sRiBEMCgxEu9HVZoJK/gNA3wx
      +kIG6koztQaCwQBD41PMP/wA2d9stpAIhkKMj49w/95HDI5dbXKsdkIqkKYjI0htrFJFafrx
      dcOHcF3Wl+aR9UDTdg3DwLEtFufn8R9g1frYKiChNK06KO0cK8kycjNdRfq4LVlRmnYUSVZ2
      dszrWT52s7ut5scKrEqRh7OzPJ5bxR80mhzrUspnmZ2ZYS2db6oCubZNLp1gZmaGXMVq2mks
      0ySZWGdmZoaq29x5zbIs1pbmmZmZAa3ZvYKmKjx+OIvtasRizVQ7UHB49PgpihYgHG6mAp3Q
      GiCfThKJjxGOxrCKuabTf2ozwdjUNJFYH/nUZtN2N1NZzk2NEe0fIrHWfERJZwtMTk4xMhgm
      kWiyuBY2+ZLF1NQUIQ3ypcYzi3AqmLbG1NQUVApUm6hA5VwGI9TP1NQkpVy66TvIJpP0DY8y
      OTFOJtVEtROCbL7C5NQU/SGNdK7JPoywKFZgamoKzS5TdhrfgFnJgx5mamoKq5DFbnKvuWSC
      yNAoU5MT5DLpxgcCqWSa+Og4k+OjpBLN1BpIpbOMT0wyNtxPMtGkXSHI5MpMTk4xEDZIZ5qo
      gcJC+d3f/d3fbXrlQ2CaJj7ffgn0BcOUMkkGR8bw+334fL6Go2UoEiG1scHY5DQ+Q6vb3jbR
      cICNdImp8Ti6buAzGi/ZDNnh8cIqvmCEwb4YmtZgZJUUXDPHSiJLuK+fvkgIpYG5UJI0CukV
      siWL/qE44aC/4XMZgSDLTx9StSE+MoLfZzQ8NhAK8ujBAyRZZWRkBENvoIZJEopbZmE1SSAa
      YyAaQW00u0kqZn6TRK5EbGCIaCjQMO++pvtILD+lZLkMxkcI+hvfqz8cZm72Hi4KwyMjTb9B
      KORnZuYhsqIzOjqMrjVWLwO6zOzjBXR/kPhgP5rWQHuXJBRRYX5l1ztoZAqW1JOZAarlHJli
      lUxyk8dPFpqaAAuZBGUbNtdWmF9svlDa3NgEXFZXllheaT6irCVz9AcUdL/E6kozc51FtiRQ
      3SrCMck1Mas5ThFbDlMtFylm0k1XLJn1FWIjE5QqVTKJRNN3sDq/wMS5ydp7WG82s7kkslUC
      ioMiOyRTzXbiK5QtHdesYBbyVJvMAKVcEn9smHKxTD6VbLoI3ng6x+j585SrLsmNjSZHwtLC
      MpPjcWxJZX11rfmxa0lGYn4UQ2WtmdECl0SmQlB1UBWHRFNDgHkyAqD7wwwO9DE5OcnkeONN
      MIBgOMbgwACTk5OMxgebttsXi9AXH2NycpKh/kjTYyPhEGPnLpFdW8cINdM/VUJhP5evXmZz
      bbPxTAHIip9gyODyxSlS2XzTlxvu60OVdaZHYuRKZtN30D/Uj6qH6Q9ImE0zD0uEwwHOX7pM
      cm0D3dfMxmEQivi5cuU8iVSaZn6MvmAEXde4MDVMOl9qfq8jQ0gYjMQMSlZz15q+/iiBaBw/
      ZRy5uT0mFgkxNHURM72J6mtmjJUIR4Kcv3Sl9g4abFrW0HshkT2eb3reoD2ea3oC0OO5picA
      PZ5r/n812QVFOVhpGwAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='192' name='Inflation (INPC) YoY %' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAADACAYAAABS3GwHAAAACXBIWXMAABJ0AAASdAHeZh94
      AAAK3klEQVR4nO3dSW8b5x3H8d9wSFGkREmkuIhaLDmqE8uK4SJw0AYtkDRoiwLNoSl6KYoe
      e+pr6avIKb0VKIIARZMUaKLYMezEsS1ZCyVZCxeRFNchOZylB6lKhUoJBibH4fx/n9vQlvUY
      5BecGer/SLFt2waRUL4XvQCiF6mnAZim2ct/jqjv/E6/QG+1oA4PQ1UU2LaFfC6HWGIKqmLD
      sizwjIoGiaMATKODB5/ewdLbb2JMAZ5lNhEajwO2DdWvAgBUVe3LQon6wdEpkOoPYnZm6uy4
      Uqmg1ajgIFfs+cKI3ODsHUDXkC2X0DjIwhgZxnR6CsfNNsKhQL/WR9RXynPdBrVt2ACgKFBw
      chHMUyAaJI4vgs85feETDSp+DkCiPd87AHnSX95fgd795jOdP7/7OsZGgi9wRf3DAOj/3F09
      QFs3zo7/9M5rL3A1/cVTIBKNAZBoDIBEYwAkGgMg0RgAicYASDQGQKIxABKNAZBoDIBEcxSA
      bdso5fPono0Q2Cjmc9ANqw9LI+o/Rz8MZ1s69tYzeCmRREABjE4Dq6sbuPmjGALqyVQYh+K9
      x4bt2efVUQA+NYhEPHp2vLG+hXDIj3pdQ2Qowl0hPMoyLc9ueeN4JrjYbEA7nQm+/uotVIpH
      GBofPRuF5Eik96iqCr/fmz857+h/pQ6Fcev27XOPRRPJni6IyE28C0SiMQASjQGQaAyARGMA
      JBoDINEYAInGAEg0BkCiMQASjQGQaAyARGMAJBoDINEYAInGAEg0BkCiOdsVwjKw+uArtE7n
      fqulAp4+XUOpqvVlcUT95mxXCAAh1Y+uDYQUIBKNo6s3oWkdTIwGORTvUYZpwDCM7/6LA8jZ
      rhA+PwKBk6F3wzBQzO3BCIxhLvXNThEcivcev+r37FC8o1MgU9dQh43SQQ5NrQlVDaBVK6NS
      5ykQDSbHu0JcX1r65oGxcSR6vSIiF/EuEInGAEg0BkCiMQASjQGQaAyARGMAJBoDINEYAInG
      AEg0BkCiMQASjQGQaAyARGMAJBoDINEcB6C3WjBP535ty0C+cMQ5YBpYzkYijQ4efHoHzdPX
      +/bmJhSrhd3scT/WRtR3zkYi/UHMzkydHVuKH4lUCltbBZjmOHeF8CjuCnHK1DVkSyU0DrIw
      RoYRCfmxtrqB+Mzi2W4Q3BXCe7y8K4TjofjbP/3J2bEdjSI5AyiK0vOFEbnhubLmC58GHW+D
      kmgMgERjACQaAyDRGACJxgBItAsDsC0L9+7fh643sbJyz+01Ebnmws8BtFoRj75+CK1eQ3rh
      uttrInLNhe8AIxNJzM5M4403bmNnY93tNRG55tJrgOtXZ/HxJyt45eZNN9dD5KoLAzh4eh8f
      rdzHaGIeV/7n1x8Rec2FAexm9hFLp3HnXx9gfefA7TURuebCi+DX3nwb1XoTr7/6KkIjEbfX
      ROSaC98BhsOjqJcOsbqeQT5XcHtNRK655CLYxtb2HurFLDZ3nrm7IiIXXRKAguWla1ACw5hf
      WOCYI3nWpbdBv3z4CNPxMD7+x9/w2YNtAIDZbeHx119jZz8LACgcPsPa6mMUK013VkvUY5dO
      hC0tLcMC8ItfvoPoRBwA0DzOIT6/hHphBwDQ7nTgU2xoLR1mZJhD8R4lcij+8aMvERpLYG5x
      CYnJkztBwfA4trfXofoDKJfLaLfaUIeGoHfaUNWTzws4FO89Iofix0bCKNXq6Ojds8eCozHc
      vDEOxeeDoiiIRqOwLIsvehpYl14DzF6Zh0+xYVnnT2l8qno2DK8oCl/8NNAuDWDnsIhYLIJS
      np8Ek3ddGkByPITMxiZ8Yf4sEHnXhdcA7VYTmf0Cfvnr32A0Mu72mohcc+E7QH4vg/BoBE/X
      VnFQKLu9JiLXXBjA3tYubr/1c/zszR8j85QDMeRdF54CLd9awt//+j6Cqoml22+5vCQi91wY
      QHR6EX/8w6LbayFyHbdFIdEYAInGAEg0BkCiMQASjQGQaAyARGMAJBoDINEcBWDbNrL7u2i2
      u6fHJra3ttDumn1ZHFG/OQqgVc2h7Ytgd3sTALC9sYGJRAp+H39dKg0mR5PORqeFcCQBQysB
      AOq1GoZCRZTKQ7g6l+KuEB4lcleIi4xEp3CwuY7g6ATK5TKuXJnFUaWOsVj0bDaYM8LeI3JX
      iIuoQ2Es3bhx7rFosqfrIXIV7wKRaAyARGMAJBoDINEYAInGAEg0BkCiMQASjQGQaAyARGMA
      JBoDINEYAInGAEg0BkCiMQASjQGQaI4CMDpNPPzqIbZ29gGc7BLx4M4K6u3ud3wl0feTo5FI
      rZLH1OIyavltAEAptwd/KALTtmGaJofiPYpD8acCwTDyxTy6ugFN06CbNnSthlpdw0RyAgCH
      4r2IQ/GnQuMpJKwSgulFKLaJ6dl5JFNpKGqgX+sj6itnWSsKJmLx04OTF70/MNTjJRG5h3eB
      SDQGQKIxABKNAZBoDIBEYwAkGgMg0RgAicYASDQGQKIxABKNAZBoDIBEYwAkGgMg0RgAieYs
      ANuG1mzAMK2TQ8tEvd6AxTlgGlCOAug0y8g8y2F9cwsAUD0uo14tILN71JfFEfWbo5HIdqOC
      1NxLqOYzAIDR0RHsZ/NY+MEcd4XwMO4KcSo0HsezzVX4h8Mol8vI7+9ADY7C6HahDocBcFcI
      L+KuEKeGQuNYXo5AURQoioJYLNavdRG5wnHWPh9vHJF38NVMojEAEo0BkGgMgERjACQaAyDR
      GACJxgBINAZAojEAEo0BkGgMgERjACSaowAsQ8fak8fYz51MgNVKeTx69BgN/p5gGlCOAmiW
      DzEx8zJajQoAoFCuY3lpAbkDjkTSYHIUgKKqMLo6TNOEYRiwTBNGtwtwRoAGlKNX7khsGnYj
      j8TUHLRmEwtXprFzcIz5K8l+rY+orxxNhCmKirmFl849dm0xAgBnQ/E0+G4tJqF3zbNj1Xfy
      /HqRYvdwGwfTNDkU7xG2bcOyLM8/nz09eee8sLdIeD57+g5ANGh6vtnLUW4fpUoN8XgKh4dZ
      jMXiGLJbOK61cPXay6gcrkMPzmAhPd7rb03PoZg7QKlSxWQ8hWw2i0g0jiDaOK5qmJ5JIput
      YGpmCtGx0Re91J7q+XvcZDKNIRUo5opYuH4dZruBqfQsfLaFTqOKjmmh3eIHZ983k8kpDKlA
      KV/E3LVXYLYbSKVn4IMFvdlA17ZhWt47Weh5AJn1VUQmZ5CeHEal2oDeNbG2+hjp+avodlqA
      ZaJar/X629JzymysYWRyBlPxMKqnz9vTJ0+QmruKSDSJlxevILe/96KX2XM9vwYoFXJotHQk
      ptKol/IYjSbQOC6i3bWQnp1BQDHR1oHQcKCX35aeU/koh7qmI5FKo3GcR3giAa1SREu3kEjG
      UCwcYTI1gxGPPW+8CCbRvH+fi+hbMAASjQHQQLMtA+22DrPbOffjG9+mWsqjUK4Bts0AaLDZ
      tokPPvgQ//7knyhXyvhs5S60loZ7d1dwUKjgcG8Hmd1DWKaOe59/isNCCe+99x4qdQ07T+7y
      IpgG3/q9j/BlcRhRbRsVvYvh+CsImmUcVS0YtUP86t3fo7b1OeqTP0Tmq89g6C28+9vf4YtP
      Puz9J8FEbktPp3E8MoZoW0H3SEN6zMR2XkF0Ygzj05NITY4h2F7Awy/uIJqchd2pITgUwI3l
      Jb4DkJfYsCwbiuIDbBuKTzn3p5Zlnf12o/9iACTafwDx0+qaKGJbIQAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='92' name='KPI - FX Rate' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAABcCAYAAAA4eLo/AAAACXBIWXMAABJ0AAASdAHeZh94
      AAAd9UlEQVR4nO2deVRTZ/rHv72FIETDomD1gHVBBIpQwQV3rBYEdxRRoMqMik7FYqnWiqWj
      gohrERlFQKuMo+JSrUPRATcUBUUZRKQquDSmWCAQCYZAEm5+f/DLHSJJSCAImPs5h3P05r7b
      ve/3vc+7Ph9IpVIpaGh0FKKjM0BD05HQAqDRaWgB0Og0tABodBpaADQ6DS0AGp2GFgCNTkML
      gEanoQVAo9PQAqDRaWgB0Og0tAA6AJIkweVyUV9f39FZaRXV1dUQCAQdnQ2NIUkSVVVVqK6u
      pq7RAnjHkCSJpKQkrF+/vksKgM/n45tvvsGjR486OisaQxAE2Gw2li1bhhcvXgAA9FoTEUmS
      eP36NSQSidKEzMzMIBaLUV1dDWNjYxgYGKiM68MPP4SxsbHCe8RiMXg8XrPrquLtrNy/fx9p
      aWnYvn07WCwWgP+1TD169FBanvr6etTU1MDMzAwEId9ukSSJkpISlJSUAAD69u0LOzu7ZnHJ
      0iFJkrome1dvx6mM4uJiAMDgwYMBNH4N6uvroaenBxMTE5Xx1NfXU62vqakp9PX1qTzp6+sr
      ff8AIBAIIBQKqbzK6oSq/MvqFpPJpJ6Fo6MjpkyZgqioKPz444+AtBW8efNGGhgYKHVxcVH4
      5+npKS0rK5NWV1dLFy9eLA0PD5fW19crjCsnJ0fq4eEhzcvLU5re/fv3pRMmTFCY1pw5c6Q3
      b96UNjQ0tKYoFCKRSMrlctscjyrevHkjXbp0qfTAgQNy18vKyqSenp7SjIwMpWEzMjKo59qU
      /Px86YwZM6RjxoyRenp6Sj09PaVjxoyRurq6Sjds2CDlcrnN0nn7Gbq6ukpXrFghffz4cYtl
      iIiIkB45coT6/7p166QuLi7SadOmSV+9eqUy7IEDB6QuLi7SCRMmSO/fvy+VSqXShoYG6b59
      +6SzZs2Svnz5UmG4qqoq6cKFC6X79u2j3o+sTowePVqamZmpMJysnr79XKuqqqT+/v7SM2fO
      SNtkAgUFBeHu3bvN/tLS0mBhYQEWi4WQkBBkZ2fj0qVLzcLzeDzs2bMHs2bNgpOTk8q0mEwm
      Dh06JJdORkYG3Nzc8N133ymMXxN+++03/O1vfwOXy21TPKq4e/cuqqurMWfOHK3E9+LFC6xf
      vx6TJ0/G5cuXkZaWhrS0NNy4cQNJSUkQCAR49epVs3DR0dHUM8zOzsbBgwfx4YcfYunSpbh4
      8aLS9CoqKlBSUoKRI0fKXffz84OFhQXu3LmjNKxAIEB2djaCgoLQu3dv6jpBEPD394eJiQkS
      EhIgEonkwpEkicOHD4PBYMDf31+upe/duzcmTZqElJQUCIXCFp+XDFNTU8yfPx8nTpxo/z6A
      k5MTfHx8kJSUBA6HQ12XFczIyKhZwdTF1NQUwcHBmDNnDo4fP96pO2b19fVISUnBuHHjYG5u
      rpU4r1y5AisrKwQFBaFbt27UdYIg8Mknn2DXrl2wt7dXGYe+vj7s7e0RGxuLgIAA7NixA4WF
      hQrv/e9//wsmk4kBAwbIXe/evTvc3NyQmZmp1Cx++vQpampq4Ozs3Ow3FouF1atX4/bt280a
      stzcXGRkZGD16tWUydiUuXPn4tWrV8jMzFRZzrcZPXo0Ghoa2l8ABEFgwYIFMDMzk1N4VlYW
      Ll68iODgYIUF0yT+SZMm4c2bN80EQJIkXr58ifT0dJw5cwZpaWl49uyZnA0sFotRXl4OHo8H
      iUQCLpeL8vJy6k8sFsvFyePx8NNPP+GHH37Anj17qM5US7DZbHA4HLi5ubW6rG8jkUhU9oMI
      glC7YSEIAoGBgXBycsJPP/3UrCJLJBJkZGTAw8NDYXojR44Eh8NBaWmpwvhzcnLw8ccfo2/f
      vgp/d3R0xNy5c+UaSi6Xi127dmH27NlwdHRUGM7S0hJz587F0aNHFfYTlWFubo6xY8e+m1Eg
      FouF4OBgSuFcLhdxcXGYO3eu0oK1FS6XCx8fHyxYsAAnT57E/fv38euvvyIgIACbN2+mhPj0
      6VOsXLkSW7ZsQWlpKUJDQxEYGIjAwECsXLkST58+peK8cuUKvL29UVBQAGdnZ7x58wZ/+ctf
      cPDgQTlRKeLhw4dgMpn4+OOPtVbGjz76CIWFhXj27JlW4mMwGJg1axaePn3azBQsLS1FWVkZ
      Pv30U4VhBwwYgJ49eyIvL6/Zb3w+Hzdu3ICHhwf09BSPuyhqKBMSEsBisbBgwQKVQvby8gIA
      pKWlqVtUAI2ibdUoUGtoqvC0tDS1CqYud+7cQffu3cFkMqlrhoaG2LRpE+zt7eXSeP78OUJC
      QnDx4kXMnDkTtra2OHXqFAoKChAZGYm4uDhYWFg0S+PFixeIiYnB2rVrqQc+e/ZsTJs2DWFh
      YXBwcMCoUaOU5vHu3bsYNGiQypEOTXFzc8P58+exbNkyLF68GN7e3m36mgKNozsffPAB2Gw2
      PvroI+p6VlYWLC0tYWlpqTCcgYEB3N3dce3aNUyfPl2uohcXF6OhoQHDhg2DVMUWdFlDuW7d
      OkRGRuL27dvYtm1bi2UyNTVFQEAADh8+DA8PD/Tq1Uutsg4cOPDdzQM0VfiDBw/w1Vdftfll
      icVipKSk4MSJE1i4cKGcAJhMJhwcHJoJbMCAARg5ciQKCgo0Sis9PR2DBw+Gu7u73HVHR0e4
      uroiIyNDadj6+npUVVWhX79+GqXZEiwWC3FxcfDz88OhQ4cwZcoUfPHFF7h06VIz001d9PT0
      UF9fDz6fL3f95s2b8PDwUNlgOTs7o7S0FM+fP28W1tbWFj179mwxfVlDefHiRcydO1fpF+dt
      Jk6cCGNjY/z8889q3Q8APXr0aNsXICEhAQkJCc2uT5kyBdHR0c2u8/l8cLlciMVicDgcjcwf
      oVCINWvWyLUsPB4P5ubmiIyMhKurq9Kwb49/GxkZoby8XO206+vrkZ+fj3HjxjX7hBMEgTFj
      xuCf//wnampq0KNHj2bhJRIJhEIhunfvrnaa6tKtWzcsW7YMgYGByM/Px/HjxxEeHg5zc3NE
      RES0OLqmLgKBoMUOdd++fWFlZYXs7GxqnoDP5yMvLw9Lly5V62svkUjA4XBAkiQ4HA5EIhEY
      DEaL4QwNDeHv74+dO3fC3d0d/fv3bzEMQRBtE4Cfnx8CAgKaXVfUSZLZdObm5vDy8kJ8fDwc
      HBzUbhX19fUxb948WFpaIisrCzk5Odi+fXtjR0bJg71z5w5iYmJQUlICExMTqvIKBAKMHj1a
      7XLKKvDVq1cVzoByuVzweDwIhUKFApBhZmamdpqaoq+vjxEjRmDEiBGoqanBli1bsHbtWsTF
      xcHGxkbteOrq6tCtW7dmZqCjo2OLo1d6enqYOHEi0tLS4OPjA0NDQxQXF4MgCAwdOlSt9C9d
      uoTbt28jLCwMiYmJSE9Px/Tp09UK6+rqCmtraxw7dgzfffedWmHaZAJ1794dFhYWzf4U2bmy
      goWEhOCLL76AlZUV4uPjm437KkNPTw+urq7w8vLCxo0b4e7ujujoaBQVFSm8//r16wgLC4OP
      jw9u3ryJ9PR0apzc39+/LcVuRq9evTBhwgS5oUhFsNlsraarjB49eiAsLAwWFhbIysrSKOyj
      R49AEIScrc/n8zFx4kS1wo8cORJ8Ph+///47ACAzMxMODg5q9X04HA6SkpLg4+MDb29vBAQE
      ICEhQe3nxmAwEBgYiJycHDx58kStMO+kEywr2KJFi+Dg4AAACAkJQXBwMFJTU+Ht7a1RfAwG
      A6GhoQCAdevWYdu2bVS8QKPJk5qaCi8vL61MOhkYGMDY2Bj29vYICgrSODyTyUTv3r3x5s0b
      lb+rMsvKy8vRu3dvuX6OKlgsFiwtLZWOyytCIBDg1KlTcHZ2homJCXW9oKBAbXPVwsICtra2
      uH79Ovr06YPCwkKsXLmyxXAyC6FPnz5UA+Xt7Y1bt24hJiYG0dHRaplCDg4OcHV1xdGjR7F2
      7VqV9woEgvbvBDctWNOKbmNjg8WLFyMpKUntsfSmyEQwfvx4hIaGynVqxWIx3rx5o9DmJklS
      6VdHKpUqrDB6enpwdnbGtWvXlI41kySpcijUxsYGJSUlChfAMZlMDBo0CBkZGQon8wQCATIy
      MjBs2DA5Afzxxx9K0+TxeGCz2Wr3O0QiEQ4ePIjKykosWrSIMitJksSVK1fUHrAgCAITJ05E
      bm4u8vLy8MEHH1D9AVVcunQJd+/eRUhICAwNDQE02vUhISEoLCxEamqq2unPmzcPBQUFuHfv
      nsp7//zzz/YXQHp6OnJzc+UKJsPb2xsDBgxAbGys2qZQU2Qi+Oyzz7BmzRpKBAYGBrC1tUVW
      VhZev35N3f/06VOEhITg+PHjzeLq06cPSJLEL7/8QlUqsVhM/dvLywsikQhRUVFyIqitrUVK
      SgpWr16tcjrewcEBHA4HZWVlCn8PCAhAWVkZIiIiUFNTQ12vqalBREQEKisrMXv2bLkwe/fu
      RUBAADIzMylhkSSJFy9eIDw8HEZGRgrt5+rqamqij8Ph4OzZs9To0ebNm+XMn8rKSo3nGYYO
      HYra2lokJiZi1KhRLYqHzWYjPj4e/v7+zforrWkora2tMWnSJBw+fFjl6oDCwsL2NYHYbDYS
      EhKwbNkyhR0xmcKDg4Nx4sQJBAQEaDwv0NQc+vrrr7F9+3a4uLggMDAQDx8+hKenJ0xNTVFf
      Xw+CILBq1SrY29tTNqoMc3NzBAcHY/PmzTh69CiYTCYYDAYOHToECwsL9OrVC7GxsYiOjoaH
      hwfV2a2pqYGdnR02bNig0jyxtbWFsbEx8vPzFXb8+/fvj5iYGGzYsAGTJ0+mOsxVVVWwtLRE
      VFRUs3ChoaGIj49HWFiY3JdFX18fn3/+OUJDQxVWvq1bt2Lr1q0AGltMKysrzJo1C/PmzYOR
      kZHcvdnZ2WqbXTLMzMxgZ2eHK1euYMKECSrvFYlEiI+Ph7W1NXx8fBTeIzOFtm/fjh07drSY
      H4Ig4Ovri6tXryqdmRYKhcjMzMQHUlUzE10ckiRRWVkJNpsNS0tLmJubtyiwpkuvlS0zEAgE
      VMuiyZLshIQE3Lt3DzExMc2+hk3zXFFRgQcPHgBobE3VybdsWTLwv6XGbUUikWD9+vUYP348
      Zs6c2eb4OhP37t1DeHj4u5sJ7ggIgoC5ublGi8/09fUVzgQ3hclkatwqAsDUqVORmpqK3Nxc
      pS0jQRDo3bu33IpJddDmDLOM0tJSvHr1Su3JqK6CRCLB2bNn4erqSu8Ie5f069cPvr6+OHz4
      cLOZ1s7ItWvX0K9fP6XLH7oq9+7dw8OHDxs7+x2dGV1j9uzZ0NPTw4kTJ1pcQNeRCIVC3L59
      u8XlD10NHo+H/fv3Y9myZejfvz8tgHcNk8nEpk2b5CaLOiM8Hg/29vYYNmxYR2dFazQ0NCAr
      KwsTJkzAlClTAOD97gTT0LQE/QWg0WloAdDoNLQAaHQaWgA0Og0tABqdhhYAjU5DC4BGp6EF
      QKPT0AKg0WloAdDoNLQAaHQaWgA0Og0tABqdhhYAjU5DC4BGp3mv9wS/bzTdjC87rKu9aLrJ
      vjP5YmuaLwBq+SZTRacRQEpKCh4+fKi1+FgsFoKCgtp8ArW6kCSJrKws7N+/HxKJBBEREbC1
      tW11fGKxGA8ePMCFCxdw+/Zt/Pnnn822UMo2/U+ePBkLFixQ6nxCHUpLS3HixAlcu3ZNYVru
      7u4IDAyEtbX1O98iWV5ejkOHDiE9PV3hXmp9fX0MHjwYvr6+mDRpUrOjXVTRaXaEacPPV1P6
      9euHpKSkdj2Q9smTJ4iIiMDjx4/lKgyTycTevXs1dv5RVFSEVatWyfux/f9zexwdHeHk5EQd
      DygSiZCXl4fc3FxUVFRQ91taWiImJqbF05Hr6uoQGxuL06dPU3mXCcrFxQXOzs5UWrKjLWX3
      WVpaIi4url03y/P5fPzwww/U2aYEQcDJyQleXl4YMWIEGAwGJBIJHj16hOzsbLlT+6Kjo6kt
      jy3RaQSgDc6fP4/IyEiQJImgoKBWneOpDmw2Gzt37kROTo5c5TExMUFVVVWrBVBQUIBVq1ZB
      IBBg0KBBWLJkCSZOnKjS/CBJEjk5OYiOjqYOgXJwcEBsbKzSr9+rV6/wzTffUAfIEgQBLy8v
      BAUFKf2KPHnyBBs3bqTCjBo1Cjt37lR6vlFbEIlEiIyMpDy+DBw4EJGRkSpPuSZJEo8fP8ae
      PXswf/58fPbZZ2ql9d50gvl8Pk6ePAmSJGFubo6pU6dqPY3y8nJs3LgR8+bNw61bt0CSJAiC
      gLu7O86dO4d58+a1OY0hQ4YgISEBx48fh7u7e4u2t8w/QXJyMiW4oqIi/Pvf/1Ya5uHDh1RF
      dnJywrlz57Bx40aVJpSNjQ3i4+OpM4Lu3bunsWM6dUlOTqa8VY4bNw5JSUktHvFOEATs7OwQ
      Hx+vVuWXvcv3RgC3bt2iHEV7enpq3RtLeXk5li5ditTUVKrijxkzBqdPn0ZUVFSb7G8ZDg4O
      iI+Ph7Ozs8Z2tomJCVavXg0mkwmSJHHz5k2VnugZDAaCg4ORmJiodt5ZLBbWrFkDFosFiUSC
      69eva/1olxcvXlBmmY2NDf7+979rvR/X9F2+FwIQCARISUmBRCJBr1692u0YP4lEAoIg4Ozs
      jKNHjyI2NlarQtPEq6MirK2tqZOYORyOXF+iKUZGRoiMjERgYKDG6fXr1w8DBw4E0GhKaeKf
      tyVIksSxY8fA5XLBYDCwYsUKmJqaai3+psjeZacZBWoLd+/exW+//QYA8PDw0HrrL2PIkCHY
      tWsXhgwZ0ikPizIyMqIcxKnyCzBmzBitpFFVVQWhUNiqYyIVweFwcOPGDQCN3l5Uub1qK7J3
      2eUFIBQKcezYMUgkEpiammLatGntUjktLCzw448/aj1ebVJTU0N5hjc3N2+XDmpTB3pmZmZa
      TSM/Px+VlZUgCAJTp05VyyFGa2j6LjtfM6Yhubm51EnK48ePh7W1dQfnqON48uQJdZb/4MGD
      Vforay1lZWWUF0htikw2mkWSJCwsLNrNf/TbdGkBCIVCpKSkQCQSgcViYf78+Z3SNHkX8Pl8
      7N+/nzJJ2qMfRJIkzpw5g4qKChAEgXHjxmnteb9+/ZpyQGhtba22r9+20qVrS0FBAeUVxs3N
      TSNviO8TMi8y+fn5IAgC/v7+cj7TtAFJkkhLS8OpU6cANFbS8ePHay3+yspKqtNuY2Oj1KO8
      tumyfQCRSISUlBSqxZs9e7bOtf6y5Rc7d+5EaWkpCIKAt7d3q0Z3WiI5ORkJCQnU1/bbb7/V
      6ghNWVkZtc5JNsrUFIFAgOLiYjmPLwwGQ20HIsrosgJ48OABcnNzAQDDhw9v0Ynz+4JYLMbz
      58/xyy+/ID09nZr+79GjB77++mtMnz5d65W/pqYG+/btA0mS6NatG7799lutO82oq6uDRCKB
      np4e5divoqIC58+fR2pqqkqHgKampggICICvr2+LrmrfpksKQCKR4NixYxAKhTA0NISfn987
      +2S+S7Zu3UoNCwLyq0FlGBkZYcaMGVixYkW7dHrv37+P8PBwkCQJExMTbNq0CWPHjtV6OrLO
      O4PBQF5eHvbt24eSkhK1Jtp4PB727t2Lc+fOYdu2bRqZwl2y1hQVFeHu3bsAgBEjRqjthbyr
      IfPmqIzJkydj+fLljY4etNzq19XV4ciRIzhy5AhEIhHs7OwQFRUFKysrrabzNrW1tUhOTqb+
      b2BgAFdXV0ydOhVDhw5Fz549oa+vj+rqapSUlODUqVPIzMyEWCzGy5cv8eWXX2L37t1qjyJ1
      OQFIJBKcPHkSAoEAhoaG8PX1bbfx4o7G2NhYzl9ZfX293Ozu5cuXcfnyZZiamsLHxwcLFy7U
      ylfg5cuXCAsLoyYXCYJAYmKixuZFa9HX18fo0aPh5+endFmIsbExXFxc4OLigpcvX2LdunV4
      8uQJXr9+jejoaPzjH/9Qq4/S5QRQUlKCW7duAQAcHR3f2XhxR7B+/XqsX79e7prM82V+fj4u
      XLiA7Oxs8Hg8JCQkIDk5GV999RXmzZvXqi8CSZI4ffo0YmNjUVdXB6Bx0uiHH354Z5XfyMgI
      sbGxGvUxrKysEB8fj9DQUOTn56OkpARpaWmUx3lVdKlhE5IkcfLkSfD5fOjp6WH+/PntMtvZ
      mZGt2f/888+xe/duXL58GWvXrkWPHj1QV1eHnTt3YvPmzRo7Hq+trcWGDRuwc+dO1NXVgSAI
      TJkyBSkpKe26JEGGrOPb0NDQKqfpLBYLK1eupBYDXrp0SaWTbBldSgAlJSVUp9DJyQkjR47s
      4Bx1PEZGRvD19cW//vUvODg4UOP1hw8fVnulZnl5Ob788ktkZGSAJEkYGRnh+++/R1RUVLt0
      rBUhM/WaLrXQlKFDh1I+zf744w9UVla2GKbLCED2eebxeNDT04Ofn5/Otf6q6Nu3LyIjI2Fp
      aQmSJHHq1ClqebgqXr16hdWrV6OwsBBAo8f65ORkzJw5853Oq/Tq1YvayigbEdIUPT09yiSu
      q6tDVVVVi2G6jADYbDauX78OALCzs8Pw4cM7OEedD0tLS/z1r38FQRDg8XjUSJky+Hw+wsPD
      qc0xjo6OSEpKanE7ZXtgYWFBmUHqDn8qQrYSuLa2Flwut8X7u4QASJLE2bNnweVyQRAE5syZ
      o7UluO8bn376KUxMTACAWiaiCJIkcfDgQeTn51PhYmJiqLDvGhMTE2pjTklJCV6/ft2m+PT0
      9NTquHcJAXA4HKSnpwNoXCfi5ubWsRnqxHTr1k2tScHc3Fz8/PPPABq/HBs3bnxnJ2gowsjI
      iDJfSktLqRW+msJmswE0zh+oU54uIYBz585RKxDnz5/foS+qsyNbUqAKoVCI5ORkCIVCMBgM
      hIaGtusJD+oyduxYGBoaQiKR4Pz58y2W420kEgn11evZs6daZer0AigtLaWOS9H2CsT3kfz8
      fMp8UDZHUlxcTHV6R48e3aYdYtrE3t6eyvOdO3dw7949jcJzOBxqSbWtra1a5lynF0Bqaiq1
      0nHatGnttke0o3n06BGOHj1KTUC1Bg6Hg0OHDoEkSbBYLDg7Oyu8LycnBwKBAARBwMPDo9Os
      ozI0NMSiRYtgaGgIoVCIrVu3gsPhqBVWJBLh0KFD1H7iqVOnqjWK1akFUFFRQR2P0a9fP3h4
      eGgtbg6HAz8/P3h5ecHHx4dqOToKkUiExMREeHp64vDhw6itrdUo/LNnzxAaGkpVmBkzZihc
      FCaRSFBUVASgsePZltPrWiIhIQHDhw/H8OHDMXHiRJWdchkjRoyAp6cngMZ39P3336tcDwX8
      r0Mvqyua7CfuHNJXwoULF6hOzcyZM7W6S+jKlSvU8B+TyVQ5+/j69WvcuXOnRZu0uLgYQGMl
      y8nJUdl6DRs2DH369Gl2vaamBnFxcThw4ACGDh0KT09PjBw5EhYWFtDX15e7t76+HoWFhUhJ
      ScG1a9eooUMXFxcsWbJEYQsoFAqpJdS1tbWIi4tr9TIHAwMDLFq0SKsL5AiCQHBwMJ49e4b8
      /HwUFhbC19cXK1aswIwZM+SOPSRJEiUlJYiNjcWdO3dAkiQsLS0RGhqqdH3Y2++y0wqAy+Xi
      /PnzABpbf1mroA34fD41qgQAAwYMUDn2zWazsWXLFrWm1oHGipmQkKDynujoaDkB2NjYYOXK
      lUhMTASPx4NYLEZeXh7y8vLkwskOxFV05AlBEJg+fTrWrFmj9HxMoVBIHaVYV1eHK1euqFUm
      RTCZTMyYMUPrK0RZLBZ2795NHY1YU1ODHTt2YNeuXTAzM6OE/fbycCsrK2zbtk1l5/ftd9lp
      BfCf//yHav2nTp0Kc3NzrcVdXFyM33//HUDjSwwJCenwkaVu3bph/vz5mDNnDrKzs3H8+HHk
      5+dDLBbL3aes4js7OyM0NPS92RYqE0Fqair27t0LHo8HkiQVTm7p6+tj2rRpCAkJ0Xjpxnt1
      Nqg6kCSJyMhI6uuyZMkSLF++vFNupyRJEhUVFXj8+DEePXrUzKQaPHgwhg4dCjs7u05zfHl7
      QJIkCgsLcfXqVeTm5qKqqgoMBgOffPIJxowZo/GJ0E3ROQGw2WwsX74cFRUVsLGxUXvdOM37
      Sedr9tqZrKwsVFRUwNDQECEhIXTl13F0SgBCoZA60djb2xsjRozo4BzRdDQ6JYCioiIUFRXB
      xsamXY4Ooel66EwNIEkSv/76KxoaGtr11GGaroXOdYJpaJqiM18AGhpF0AKg0WloAdDoNLQA
      aHSa/wN8Ttmq3J6/VwAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='92' name='KPI - IGAE' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAABcCAYAAAA4eLo/AAAACXBIWXMAABJ0AAASdAHeZh94
      AAAUqElEQVR4nO2dfVBU1/nHP9msvO2ioqDW4muBkYYKghKVqtFWS4iToIlONMiQGUJNwthG
      naiEpkmRxBlSKBlrCaX1pdj4VsI0ioZQtATGLTQxIAGKvMtggpRlwWVhWS/9gx/3x4YFYdkF
      zN7PjDO4d+9zn3P3fM95zjn3PueR3t7eXiQkbBTZRDsgITGRSAKQsGkkAUjYNJIAJGwaSQAS
      No0kAAmbRhKAhE0jCUDCppEEIGHTSAKQsGkkAUjYNJIABtDd3U1LSwuCIEy0KxLjhCSA/6O9
      vZ3o6GgyMjIm2hWJcURu7ond3d1otVqmT5+OTGZaR4IgcPfuXW7evIler0epVOLj48OMGTOG
      ta3X6yksLKSzs5PAwECmT58+pP3W1tZhW2yFQoFCoRj2eoIgcPr0aezs7Ni1a5dYHkvZtwU0
      Gg33798ftj6YQ3l5ObW1tXh6euLp6Wkxu/2YLYDPPvuM06dPc/ToUZMV4ObNmxw+fJja2lpm
      zJiBTCbDYDDQ1taGh4cH+/fvx9/f36TtiooK3nrrLTo7O4mOjmbnzp0mv9fS0kJERATNzc1D
      +hkVFUVUVNSwZSkrKyMrK4v4+HgcHR0tbt8WePfdd/nmm2+GrA/moNVqSUhIoKqqCh8fH5KS
      krC3tzfbniAItLW1oVAoRDtmC2A4cnNziYuLY8uWLRw/fhwnJyfxmFqt5o9//COlpaVDCkCl
      UuHr68tjjz1Gfn4+zz777JAFVyqVHDlyhKVLl5rlqyAIZGRksGLFCnx8fCxu31Y4dOgQ9+/f
      N2pAxkp1dTXt7e3ExsaSkpJCQ0PDmHoBnU7Hvn37eOGFF/jpT38KWGEM0NTUxNGjR9mxYwfR
      0dFGlR/AxcWF119/nfDwcJPna7VaVCoV69atY/Xq1Xz99dc0NDRY2k2R6upqCgsLeeqppyza
      ddsa06ZNE3t6S6FSqViwYAGrVq3Czc2NoqIii9nux+I9QE5ODg4ODmzbts2sm9Gvej8/P9zc
      3MSCWyP+AygqKsLNzY0lS5ZYzGZPTw9ffPEF//3vf5HL5fj4+DB37lyj7wiCQGlpKVeuXOHe
      vXssWrSI0NBQXFxcBn1PrVYzdepUHn30UUpLS7l69SptbW0EBQWxbt06pkyZMsiH5uZmPv74
      Y+rr61EqlYSGhuLh4THoN9FoNMjlchwdHamrq+Pjjz+mo6ODdevWERQUhEwmQ61Wk52dzVdf
      fcVjjz1GSEgIzs7ORna0Wi0Gg4Fp06YN8qW/rI2NjQAsWbKExYsXD3sP+xvC0NBQnJ2dCQoK
      emA0IAgCdXV1VFRUAODu7i726m1tbWg0Gnp6etBoNGJYa1EBdHd3o1KpWL58+aAfcqT0q37u
      3LnI5fIRFdxcDAYDhYWF/OhHP7JY3FpQUMCvf/1rpkyZgq+vL83NzVRUVBAVFUVERAQAnZ2d
      xMXFcf36dfz9/VEqlVy7do3jx48TExNDcHCwaK+lpYVXX32Vn/zkJ2RlZdHT04Ovry8A8fHx
      5OXlERsbi52dHdBXCT766COSk5Px8PDA3d2dO3fuEBkZyYYNG4iJiRG/C32xe29vL7dv30at
      VuPr60t3dzdvvPEGW7ZsoaOjg5ycHHx9fXF2dubkyZOcP3+elJQUXF1dRTunT5+mpqaGI0eO
      GN2PyspKDhw4gEajwc/Pj56eHuLj4ykoKBj2Pg5sCAECAwPJzMwcMgxqbm7m0KFDVFRU4O/v
      z5QpU/jyyy/x8vIiPj6ed955h/LyctRqNceOHeNPf/oTYGEBaLVavv76a7Zu3Wr2+devX+eZ
      Z55BLu9zLTAwkIyMDGpray3aSgO0trZSU1PD008/bRF7lZWVxMfHExYWRnh4uNjadnR0iK2f
      IAicPHmS8vJy0tPTcXd3Fz/PysoiKSnJqOWCvvuSl5fHW2+9hZ+fn2j3X//6F3FxcdTX14uV
      ori4mJSUFA4ePEhISIhoo66ujr1793Lq1CkiIyON/C4vL+fgwYOsXLlStH3hwgUSExPZtWsX
      V65cEUPZhoYGdu/eTUlJCRs2bBj2frS0tBAbG0tgYCCvvfYaDg4OAHR1dT3wXqpUKtzd3cWe
      c8GCBbi5uXH9+vVBAtDpdLz99tsolUouXbokzhoKgkBZWRlKpZLf/va3aLVaoqOjjcYAFhWA
      wWAAYOrUqUafV1RU8Ktf/QqtVit+FhYWNmh2p7q6Go1GYzQ4XrBgAbNnz6awsNCkADo7O9m/
      f78omG9z6NAh1qxZY/KYRqMBMGrJzLUvCAJnzpzB39+fsLAwo1DD2dkZb29voK+l+uSTT3jt
      tdfEyg8gk8kIDg7m6tWrZGZmGglAqVRy8ODBQQPxRYsW4eTkhE6nA/p+8PPnz7NmzRqjXgRg
      4cKFREREcOrUKbZu3Wo0Fb1582ZWr15t9H0vLy/c3d159tlnjcZxM2fOZPbs2SNaLMzKykKh
      ULBnzx6x8gNGf5vCVEPo6OhIUFAQBQUFbNu2zWiwXVhYyJ07dzh69KjRlLlMJjM5sTEQi48B
      DAYDer3e6LM5c+bw0ksviQI5e/Ys9+7dG3SuSqVi/vz5RvHycAUHsLOz4+mnnzaqTAPx8PAY
      0tf+ijPczMVI7be1tVFSUkJUVNSQYgGoqqpCJpOJghiIXC5n48aNfPjhh3R0dAyKsx9EW1sb
      lZWVvPLKKybHX8uXL+fkyZM0NDQ8cC1mrPSHw6tWrRp1eGmqIYT/jwbq6+uNGsPPPvuMJUuW
      MGfOnFH7aVEB2Nvbo1AoBlXu6dOns2nTJvH/eXl5g87tV/0TTzxBa2ur0TF3d3caGxsHFRz6
      Ks3KlSvNnqbs93koRmrfYDAgk8ke+CN0dXUxbdq0Ia85Z84cOjs70el0oxZAvw9D9WjOzs4o
      lUpaWlpGZdccDAYDOp3ugYNdU6hUKmbNmoVcLjdag7Gzs8PJyWlQNHDv3j0WL15s1qSLRQWg
      UCiYPXs2//73vwd1wQ+iurqa+vp6PvzwQ86ePTvouEajGTIMGgtarZaWlpZBszQThV6v5/79
      +1axLQjCoN55stHfEDY0NAwaq0BfzzJUNGAOFhWAXC5nw4YN/PnPf6apqWlUlUqlUrF06VLe
      e+89kyFEamqqRQsOfa2tg4PDiAZlD8LR0RFHR0dqamqG7S1cXV1pb29Ho9GY7AWqqqqYMWMG
      SqXSbB+amppM+tDc3IxOp+N73/veqG2b44ubmxslJSXigHMk9Ic/x48fZ/78+YOOl5SUEBsb
      axQNzJ8/n7KyMgwGw7DhpyksvvKzZs0anJycSElJGXFrMzD8GaoAK1eu5M6dO9TX11vMV6VS
      yYwZM6iqqhqzLWdnZwICAsjMzKS9vX3I7y1evBgnJydUKtWgY1qtlk8//ZSlS5cOWkAcjQ/Z
      2dkm7/3Vq1dRKpXMmzdv1LZHi0wm48c//jHXrl0b1UKmqXHgQH7wgx8wc+ZMCgsLxc8ef/xx
      KioquHnz5oiu0T8WBSsIoH+lNz8/n1/+8pdUVlaKMwY9PT0UFRVx69Yto3MqKipobW0d8tEI
      MF1wgN7eXtRqNc3NzSb/DZx5+jZOTk788Ic/pLCw0OimmGt/586d3Lt3j7i4ONRqNdAXdpSX
      l/OPf/wD6Jsh27FjBx988AF5eXnivenq6uL9999Ho9Hw3HPPDenzg9i6dSt1dXX84Q9/EHs2
      QRD49NNPOXfuHOHh4YNm6azFxo0bmTdvHm+++aaRCIYSRHt7O3l5ecM2hAqFglWrVlFQUCBO
      Yixbtoy1a9fy5ptvUlpaKt5TtVpNRkYGnZ2dQF+vtGjRIs6dO0dbWxtgpWeB/Pz8SE9PJyEh
      gbCwMKMpMycnJ0JCQggNDRU/KygoYNGiRcOGTAMLPjAM0mq17Nu3b8jzHvSw2rp164iPj6ep
      qclklzsa+66urhw7dozDhw/zs5/9DKVSiU6nw8HBgUOHDonnBAcHo9PpiImJwd7eHnt7ezQa
      DQsWLOC9994b03jE3d2dI0eOcODAAc6dO8e0adPo7u5GEAT27ds3qnBkrDg6OpKQkEBiYiLP
      Pfccjo6OGAwGHnnkEfLz8wd9/9atW3R0dAzbEEJfNHDx4kUxDJLJZOzfv5+TJ0+ye/duent7
      kcvl6HQ6tmzZwlNPPQX09UovvfQSr7/+Ops2bcLFxYVHrJ0ct7u7W5xvl8vlFn9cdqz0L46s
      X79+yOeTzLWr1WqHLXN3dzfl5eU0Nzfj7e3N97//fYvdG0EQuH37Nv/5z3+YM2cO3t7eJh+Z
      GC/664FMJrP4M0MD6enpEXtfFxcXk2XufyrUYDBYXwAPA3//+99JT0/n2LFjwy6KSXz3mDxN
      8QSyceNG3NzcOH/+vPQ6pI0hCYC+WPXll1/mypUrlJSUTLQ7EuOIFAINoKCggOLiYl588UWL
      vtghMXmRBCBh00ghkIRNIwlAwqaRBCBh00gCkLBpJAFI2DSSACRsGkkAEjaNJAAJm0YSgIRN
      IwlAwqaRBCBh00gCkLBpJAFI2DSSACRsGkkAEjaNVbJCSHw3GJjQwN7e3mTu/4cdSQAPMXq9
      noSEBKNc+66uriQmJpr1cn9nZyeffPIJf/vb36itraW7u9vo+JQpU/D09CQ8PHzIjTnGk5KS
      Et5++20xPxCYzjr+bc6ePctXX30FSAJ4aGlqaiI6OpqGhgYUCgUGg0GssCN9sV8QBHJzc4mP
      j6ejo0P8XKFQ4O/vT2BgIDNnzgT6EtDm5+dTVFTEwYMHgb5ktbGxsUb7EIwXaWlppKamAn0Z
      8To6OhAEwWTW8W9z48YNcnJyAEkADyWCIHDixAkaGhqYOnUqiYmJnDlzRvxRR4JerycxMZGM
      jAxRMF5eXuzduxd/f3+TeXu2b99OR0cHSUlJXLx4Eb1eT1JSEh4eHnh5eVmsfA+isrKSs2fP
      IggCISEhPPPMM+zdu3fYLIADGbiLjTQIfgjJz8/n4sWLAGzbts2s1PBtbW1iasbp06eTmJhI
      eno6y5cvHzZplbOzM7GxsURGRor7h506dWrI1JKWRqfTkZycjFqtZu7cuURGRo4pFJME8JCh
      VqvFxMM+Pj688MILY8qyFhQUxIULF1i7du2I7chkMnbt2sWyZcsA+PLLL8dlzwGAy5cvU1RU
      hFwuJyoqymQ6y9EgCeAhoj/0qaysFHMZjSXR7bZt20hISDDaVmikODo68vjjjwN9e6ANt5m4
      pairqyM1NRVBEFi9erXRpivmIo0BHiKKi4vJzMwE+rJAr1ixwmxbs2bN4sUXXxyTP/2tr06n
      E/NxWgu9Xk9qaiotLS24urqyZ88eo90uzUXqAR4S2tvbSU5ORqvVsnDhQnbt2jXhSYb7W31H
      R0ezt8UdKdnZ2eTm5orh18KFCy1iVxLAQ0D/DpRlZWXY2dmxZ8+eCU/iazAY+Pzzz4G+aVNr
      +tPY2EhaWhoGg4EVK1aYvQ2vKSQBPASUlZVx5swZBEFg06ZNg7Y0nQg+//xzcbMSb29vZs2a
      ZZXrGAwG0tLSaGxsZOrUqbz88ssWTVspCWCSo9VqSU5Opr29nfnz5z9wG9bxoK6ujnfffRed
      ToejoyPbt2+3mk+5ublkZ2cjk8nYuXPnA/f9HS2SACY5mZmZFBcXY2dnR2Rk5ITvZllcXMwr
      r7xCY2OjGI+PZTA+HC0tLaSmpqLX61m6dCnbt2+3+DWkWaBJTGVlJSdOnEAQBJ544olx3d7o
      2wiCwIULF3j//ffp6upCJpMREhJCRESEVQbjgiCQmppKXV0dCoWCV1991Sp7m0kCmKTo9XpS
      UlLEFc/du3dbZNrPHNra2vjNb35Dfn4+giAgk8kIDw8nKirKaj4VFRVx+fJlAJ5//nl8fX2t
      ch1JAJOUixcvkp+fj0wmIyIiYswrnuYgCAIqlYrDhw+LU57Ozs688cYbbNiwwWrTsGq1muTk
      ZHQ6HV5eXjz//PNWu5YkgElIQ0ODGPqsXbuWzZs3j7sP/du2XrhwQXxYztfXl7i4OKuOQ/qn
      fPtXu3/xi19YdY1BEsAkoz/0aWpqwsXFZUJCn/LycmJiYrh9+zbQ99hzREQEERERVveluLiY
      M2fOAPDkk09abYDdjySASUZOTg7Xrl0TQ5/xfMxYEAQ++ugjkpKSxE22582bxzvvvIO3t7fV
      r9/e3s7vf/97cbU7KirK6qvdkgAmEU1NTaSlpaHX61m2bJnRZuLWpr/nSU9PFwe6mzdvZv/+
      /Tg5OY2LD+fOnaOkpAQ7OzuioqLGZbVbEsAkwWAwkJqaSkNDA48++ig+Pj7885//HPH5d+7c
      Afpi99zcXKMpQwcHB1avXo2Dg4PJc7/9coyDgwMxMTEEBweP2/NGpaWl/PWvf0UQBObNm0dX
      VxdZWVkjOrexsVF8H+HWrVuDzvP09MTT09PkudImeZOE5uZmIiIirPJY8axZszhx4oTJxxUE
      QSAtLY20tDQEQWDq1KkkJCQQEBBgcT+GIzU1VXzF0dJERUURFRVl8pjUA9g4RUVF/OUvfxEr
      f2JiIn5+fhPt1vjRK/Gd4MCBA70BAQG9Tz75ZO8333wzonNaW1t7d+zY0RsQENC7atWq3kuX
      LlnZS+tQXFzcu3bt2t6AgIDeDz74YFTnSs8C2TBZWVlUVVUBsHnzZoKDgyfYo/FHEoCNotVq
      ycnJQRAE3NzcCAsLm/AXbCYC2yuxBADV1dXU1NQAsGzZMtzd3SfYo4lBEoCNUlNTI+bRCQwM
      tHrrf/nyZUJCQggJCWHfvn1WvdZokGaBbJSmpibx70uXLvHFF1+Myd769etZv369yWM6nY7M
      zExxinf27NljupYlkQRgozQ0NIh/37hxgxs3bozJnru7+5ACKCsro6ysTPx/YGDgmK5lSaQQ
      SMLqFBQUiAls+5N5TRaklWAJq3L37l1+/vOfi0l8f/e734kZ5SYDUg8gYVWuX79OY2MjAKGh
      oVZ7s8tcJAFIWI3u7m6uXLmCIAh4eXlZ7f3hsTC5vJH4TlFbW0tFRcW4vNllLpIAJKxGdnY2
      7e3tY85jak0kAUhYhbt373Lt2rVJk8d0KKRZIAmbZnLKUkJinJAEIGHTSAKQsGkkAUjYNP8D
      F+a3WGBOinwAAAAASUVORK5CYII=
    </thumbnail>
    <thumbnail height='92' name='KPI - INPC' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAABcCAYAAAA4eLo/AAAACXBIWXMAABJ0AAASdAHeZh94
      AAAaxUlEQVR4nO2deVRTZ/rHv71NAyFIiCAqAkWkFKgicqri0tZa14gb7hYVOypSESpq3VJ/
      FnEZ7aFItWNp7XhQxmVax1FRxAUQVI7jAkgFMajFiLIGYgIkxNffH5ncQ0iAJGw6uZ9z+IO7
      vPe9ue/3XZ/3ed569erVKzAwmClUV2eAgaErYQTAYNYwAmAwaxgBMJg1jAAYzBpGAAxmDSMA
      BrOGEQCDWcMIgMGsYQTAYNYwAmAwaxgBNKKmpgY1NTVdnQ2GToQRwH/Jzs7GwoUL8ejRo67O
      CkMnwjL1RoVCAblcDltbW1AUpXW8pqYGLBZL55wGQggkEglsbGzwzjvv0MflcjnkcrnO9Xw+
      X+s6fRBC8PTpU+Tn50OlUsHJyQleXl6t3gcAUqkUcXFxmD17Nnx9fZtN/8mTJ7h//z5UKhX4
      fD58fHzA5XJbTf9/gYsXLyIxMRF79+5t8Z01378pPB4PFhYWJj1bk6Yh5cBYTBZARkaG3h8k
      IyMD69evB5/Px759++Dh4aFzb0VFBcLCwiAUCuHj40MfT0xMRHx8vM71FEVhxIgRWLt2LRwd
      HXXOP3z4EEKhEI8ePQKfzwegFtOrV6+wdu1aTJ48ucV3OX78OABg2rRpOucIIUhPT8fu3bsh
      kUjo9BUKBV68eAE/Pz9s2LAB7777bovPMBc0378pFEXh/fffxzfffKO3TLSW5tatW/HDDz9o
      lZf2wGQBtISXlxe4XC5+++03rF+/Xm8r0BwDBgzQEhUhBCKRCLGxsQgLC8PevXu1RJCdnY3V
      q1dj8ODB+Omnn9CtWzf6vqysLFRVVbX4vPLycqSkpGDFihU6NRshBIcPH8bBgwcREhKCwMBA
      rRqouLgY+/fvR1FRESOARjg4OODgwYNwcHCgj5WUlGD//v0IDQ3Fnj170L9/f4PT++ijj/DP
      f/6Trnzakw4ZA7BYLCxatAiZmZnIy8trU1oURcHDwwPbtm2DpaUlzpw5Q5+Ty+XYt28fRowY
      gaioKLrwa+4bPnw4AgICWkz/woULYLPZGDRokM65e/fuITExEWvWrMGcOXN0ml8XFxds374d
      o0ePbtM7mgOOjo4QCoUYOHAg/vGPf4AQYvC9FhYWcHBwaPfuD9BBLQAA9O/fHyNHjsTBgwex
      c+dOsNnsNqXH5/Px4Ycf4uHDh/SxO3fu4NmzZ9i0aZNJ6SsUCmRmZuLjjz+GjY2N1jlCCE6c
      OIEPPvgAY8aMMTptQghu376N5ORkvHz5EoMHD8bo0aNhaWmpdZ1mvMTlclFSUoK0tDQUFBSg
      b9++mDZtmt5ar6GhAenp6bh69SrefvttfPLJJxgxYoROS9s4bUA91snOzka3bt1owTceO714
      8QIcDgeenp5wdXU1quU2BDabjY8//hj//ve/UVdXBy6XqzOWbGhoQH5+PioqKjB8+HBYWlqi
      oaEBUqkUfD5fb55KSkqQl5cHlUoFOzs7+Pn56YhFIpHg5MmTePToEezs7DB16lT1O7brGzaC
      oijMnz8fIpEIWVlZ7ZKmtbW11v83btyAu7s7nJycTEqvtLQUYrFY78C3uroa2dnZ+Pjjj40W
      l1QqRWRkJDZv3gw7Ozt4eXnh8OHDWLBgAcRisda1O3bswO7duxEeHo45c+bg+vXrAICkpCQs
      XrxY5/pnz55h0aJF2L9/P9zc3ODs7Izdu3cjNDQUUqlUJ+3ExEQQQvD7779DIBBg3bp1OHfu
      HAD1WGzWrFmYO3cujh8/jpycHCQlJSEoKAhRUVFQKpVGvbchNP2GGRkZWL16Nerq6lBYWIjZ
      s2djyZIl+OWXXyCTyQAA+fn5CA0NRUVFhda9tbW12LBhA2bOnImjR4/iypUr2LJlC2bOnKl1
      7eXLlxEYGIjc3Fz4+flBJpNh8eLFOHDgQMe1AADg6uqKgIAAHDt2DIMHDwaHwzE5LZVKhXv3
      7sHFxQWAuvYWiUTw9fUFi2Xaa4hEIjqfTamsrIRKpYKbm5tRaRJCcODAAchkMhw9epRuWaZN
      m4bo6GjExMTotIjp6ekIDQ3Frl276BZCIpFgxYoVuHLlCubPnw8AUCqV2L17N9zd3SEUCuk0
      pk+fjsjISBw4cAARERE6tWRycjJ++uknfP311wgICKDPczgcfPvtt/D29ta659GjR4iIiEBy
      cjKmTJli1Pu3Rm5urt4ZIbFYjA0bNmDQoEFISEjQ6s7qgxCC2NhY/Pnnnzh27BicnZ3p4wUF
      BXRZe/z4MWJjY7F27VoIBAIA6m8xadIkbNy4sePXAaZPn47y8nKkp6ebnAYhBCdPnkR+fj7G
      jRsHQC2Iuro6rYGWsTx//hx2dnZ6p/Xq6uroqdzGZGRkQCAQaP1lZGTQ58vKynDt2jWEhoZq
      davYbDbmz5+Px48f488//9RKc968eZg9e7ZW94jP58PFxYWuBQGgoKAAxcXFWLJkiZaAbGxs
      sGDBAly/fh3V1dVaaWdnZ9OzdVOmTNEq6FwuF/3799cRTN++fTFkyBDk5ua2+PsZS2ZmJs6f
      Pw+BQKBVaUmlUmzbtg3z58+HUChstfADQGFhIbKysrB+/Xq68APqnoe3tzf9TVNSUvDee+/R
      5UaDj48P/P39O7YFAIAePXpg6tSpOHz4MIYOHdrqSP7JkyfYtm0b/QMplUrk5OSgvr4emzdv
      1pk9qK2tNTlvMpkMHA6n2RZEpVJBoVBoHXN3d0dYWBgAdSuUkJCgdY1IJMJbb72Fvn376qTn
      7OwMHo+HoqIivPfee0bnNy8vDw4ODujZs6fOOS8vL7x69QrFxcXo3r07fbygoAAxMTGtTj0S
      QlBVVUUPTq2srFBWVmZ0HgF1gf7uu+9oQatUKuTn56OyshJLly7VGVM9efIES5YsQWBgoMHj
      jtu3b8POzg79+vVr9hqFQoHs7GyMHDlS5xtrJkk6XAAAIBAIcO7cOZw9exaff/65UfdaW1sj
      MjISI0aMgJWVFX3cwsICPB5Pp8YzFmtra72zC7a2tnj77bd1FuZ69+6N3r17A1DPQp06dUrr
      fH19PaqqqvDdd9/p/OiEEJSWlqK4uNikvMpkMrqCaIpSqURlZaVOP3nmzJnNLu4B6nFUbGws
      RCIRbG1t6TzL5XIMGzbMpHw2xcLCAgsXLsSoUaP0VoBeXl6YN2+eUYNumUyGnj17trgop+kl
      pKamoqCgQOd8RUVF5wiAz+cjKCgIv/76q05T1BRnZ2ds2rSp1RVWFosFFxcX5OXlQaFQmLzK
      WF5eTs9INIbH48HS0hL37t1rsQAZA0VR+PDDD02q/VuDzWZj5MiRtDg1tDQ+unLlCqKiorBi
      xQoEBARoVQTx8fFaM27GYGNjgzVr1hjcPaUoqt1nnAzB3t6+cwQAAJ988glOnz6Nf/3rX3pX
      XE1NMyUlBffv3zdphdDNzQ2pqalQqVQ653g8HoYNG4YLFy5g6tSpBps82NjYgMfjITw8HL16
      9TI6Ty3h4OAAe3t7rFu3rs0mGIQQnDlzBgKBANOnT2+nHHYeLi4uSE1NRU1NDXg8nt5rNL0E
      b29vLFu2TO81nSY7DoeDOXPm4MyZM3j8+HG7pDlgwAB4e3sjLi5OZwrQEHr37o26urpm+7pT
      pkxBaWkpPZVoCJq+/7Vr1/SeJ4QYtQjUGE9PT5SWlja7uGhM2g0NDZDJZDrTkpp0OmIKtD3x
      9vaGTCbTmoBoCovFgp+fH9LS0iCRSPRe06ntjr+/P9zd3XHo0CG8fPmyzemx2WxERkaioqIC
      y5cvR35+Pl0AJBIJ9u7di8OHDzd7v5OTEzgcDv744w+9511dXREWFoaDBw9iy5YtKCkpoc8p
      FAqkp6drHQPUg/7AwEDs27cPly9fpvNDCEFhYSHCw8ORlpZm0vt6eHhg5MiRiI6ORl5enlba
      N2/exPLlyw1eebewsICnpycyMzO1xlFFRUWIiIjAkSNHTMpjZ+Hi4oK5c+fi+++/1/qda2tr
      ceLECdoERiAQQKlUYvv27VoiqK2txbFjxzqvCwSoC2xwcDBWrlzZbmk6OTkhPj4eO3bswKJF
      i+gfgqIouLi46DXM0qDp5mRkZCAgIEBvf1kgEMDd3R1bt27FtGnTtGpYPp+PWbNmYejQoVr3
      zJs3D926dcPWrVuxadMm8Hg81NTUgMPhYN68eRg+fLhJ70pRFCIjI5GQkIDly5fj1atX6Nat
      G6qqqmBnZ4fQ0FCjbGyCg4Pxxx9/YOLEieDz+VAoFKAoCitXroS3t7fOdO3rxrx588Dj8ejf
      mcPhQCaTwd/fn55psre3R1xcHHbu3Inx48fTU6wvXryAl5cX3vpfco7b2BTXUPPb3NxcCIVC
      7Nq1C56eni1e29hcW9O/bInGU4stmYebQkNDA12jGZKXlvJYWVmJ4uJiODk5oUePHl0yIG0L
      jX/nlr574++nue5/SgCmoFKpsG7dOtjZ2Rltucrw5mP2X5vFYiEkJAQ3btxATk5OV2eHoZMx
      ewEA6sFlQEAAfvzxR5NmkxjeXMy+C6RBqVTi8OHD6NOnD8aPH9/V2WHoJBgBMJg1TBeIwaxh
      BMBg1jACYDBrGAEwmDWMABjMGkYADGYNIwAGs4YRAINZwwiAwaxhBMBg1jACYDBrGAEwmDWM
      ABjMGkYADGYNIwAGs6ZTvUIwaNPUHyegdlhrLnHHOhpCCKqrq6FSqUBRFLp3766z59usBZCa
      morU1FST7//000/x6aefGnUPIQTZ2dn4+eefkZ2djYaGBp1ruFwuRowYgVmzZmHgwIEdtlFf
      KpUiPj7epG2gNjY2WLZsmU5gEWMoLi7Gnj17kJ+fj6CgINoNfFsoKSnB0aNHcenSJZSXl+s4
      CuvevTv8/f0RFBQEd3d38xVAbW0tEhMTkZ2dbXIaTk5OBgsgLy8PX3/9Ne2FzsrKCmPHjsW4
      ceNoz80ymQx37txBeno6UlNTkZKSojfeVntx8+ZNHD9+3CRPdQ4ODli4cKFRAnjx4gX27NmD
      pKQkHeE3dgNvLI8fP8aaNWtoj4MURaFPnz5YvHixVuw2sViMtLQ0JCcn4+zZswDMuAXQeHEG
      gDFjxmDnzp0d9iyxWAyhUIiysjJQFAWBQIDVq1fr+MF3cHCAm5sbZsyYgYaGBiQnJ+t4n25P
      nj9/DkIIuFxuh0Rg1FBbW4tDhw7h0KFDqK+vp4/b2tpCJpPp9c1qKBKJBBs3bqQLv4eHB7Zs
      2dKsO/hly5ahpKQE27dvR1ZWlvkKoLKyknaiZWwUGGOQy+X49ttvIRaLwWazsXz5cgQFBbXa
      rXnnnXcwefLkVkO8tgWN92cul9vujnwBdSVz6tQp/O1vf8OLFy/o4/369cOqVavA4XAQHh7e
      JgEcOnQIhYWFAABfX1/ExMS02io5OjoiJiYG0dHR5iuA0tJS2kuYJuxSR3D+/Hna39CsWbMM
      KvydgUKhoP2a9ujRo03hq5ojOjoaycnJ9P+Ojo5Ys2YNRo4cCYqi2hyBpqqqivazam9vD6FQ
      aHCXjM1mIzw83HwFUFFRAZVKBSsrqw6p/TTP0IQEdXV1xYIFC16Lwg+oa2eNa8XWAk2YiqZm
      d3BwwJdffgmBQNCu7//s2TP6Hfz8/IyuyDo1PsDrhqb5t7a27pABJqB2kV5cXExHzLS3t++Q
      55hCTU0NKisrAaBDQqICQLdu3SAUCjFp0qQOifH78uVLegBv6juYpQAIIXj+/DkAtZPUjqr9
      0tPTQQhBr169TPYI3VFUVVXRA1JHR8cOecamTZs6JN325PVojzsZuVyO0tJSAB3X/FdUVOD+
      /fsA1BEJO6qVMZXnz5+jtrYWFhYWHSaAjsbBwYGeSbt3757Rg2lCiHkKoK6uDuXl5QD+2w80
      Mc5wS4hEIjpg3ZAhQ16bvr8GTaA+S0vLViN3vq44ODjQLeutW7dw69Yto+4XiUTmKYDnz5/T
      M0AdNQVaXFxMD7L1BeLuajRjIB6PBzs7uy7OjWlQFIWFCxfCyckJdXV12LFjh8Hht6qrq7Fz
      507zHAOUlZVBLpfTkSY7gpYG2ZqgFPn5+VoroHw+Hz4+Ph1uC9S4C9irV6832vbIyckJUVFR
      iIyMhFgsxuLFi7Fq1SoEBATobXUJIcjKysLOnTtRUlJingLQNP+EEERFRTXbBerXrx/c3d0x
      ZMgQ+Pn5GRWKVVOwLS0tYWlpCUII7t+/jyNHjiAzM7NZ+xuKouDu7o7w8PAO6zrJ5XJ6Bign
      J6fZKJHW1tbw9PTEwIEDMX369NeuG6fBx8cH8fHxEAqFKCwsRFRUFGJjYzF06FAMHToUbDYb
      L1++RG5uLjIzM+nur6Ojo3l6h/6///s/JCUlGXUPRVHw9/dHREREi9HJAXUBCwsLw927d+Hm
      5obhw4cjKSmp2UiFzT3vs88+wzfffKMVILw9KCgowJdffmmUERyfz8fSpUsxZcoUOgJ8W8nN
      zcXKlSshl8uxbNmyZkOZGgohBKmpqThw4ABEIlGzNk6Ojo4IDg6GQCAwzxZg+fLlsLCw0LJL
      0aBSqSASiSCTybRiShFCcO3aNWRlZWHhwoVYtmwZ2Gx2q896+PChVsDpHj16YPTo0Rg7dixc
      XFxga2sLQB2w++bNm0hMTKQ/3oULF1BVVYXdu3e3yeqyKR4eHggPD8ft27f1npdIJCgqKtIy
      15ZIJNi1axeOHDmCv/71r83a2nQlFRUV+M9//gOxWNyigV95eTlu3boFf39/82wBjEEqlSIl
      JQUJCQm06YDGoG3jxo16RdC4BQDUtefEiRMxd+7cVqccCSG4dOkStm7ditraWgDA559/joiI
      iC7pgmi6bl988QVtwWlra4uYmJg2G8+1VwtACMGhQ4fw888/o76+HlZWVhg/fjxmzJgBZ2dn
      cLlcKBQKPH36FOfPn8eJEycgkUjUEerb9AZmgI2NDWbOnImTJ08iLCwMbDYbhBCkpKQYFO/3
      gw8+wIkTJxAZGWnQfDtFURg7dizi4uLoWv/s2bMQiURtfRWToCgKXl5eOH78OF3rV1dX44cf
      fqBbx65EqVQiKioK+/btg1KpxJQpU5CUlIRNmzbB09OTHuBbWFjAzc0NoaGhOH36NJYuXQoW
      i8UIwFAoikJwcDA2btwIFosFpVKJhIQEvf1oFotFG5cplUqT7O19fHwwa9YsAOouianBtdsL
      Z2dn7N+/n45DnJOTg0uXLnVpngghOHjwIG3bv2TJEgiFQh0z86ZYWloiJCQEQqGQEYCxfPbZ
      Zxg4cCAA4MmTJ3rnnS0sLOjau6amBgqFwujnUBSFSZMmoXv37gBMW+lsb2xsbLB48WKwWCx6
      OtEUcbcXeXl5SExMBCEEY8aMQXBwsFHdxAkTJjACMBYOh4OJEycCUPf1NeOCpmjWF+RyOW13
      ZCz29vZ0OhKJBHV1dSal0574+vqib9++AICnT592aTfo1KlTkMvl4HK5mDt3rkGTEo1hxgAm
      4ujoSK8JaNYUmqJZYW5JJK1hZWVFW5CWl5e/FgLgcrno2bMngK7Nk1wuR1FREQD192i89dEY
      GAGYgKWlZav2Q87OznRf9ObNm53yzM6AxWK12zpAW2i8mt2W34YRgAloTCkANGvl6ezsjD59
      +gAAbt++Ta8+GkNtbS1tUMfj8Yxaie4oGhe81yVPbYERgAlotvK1ZEpsY2ODIUOGAFBvir9+
      /brRz6moqKC7WP369XstbHYqKyvx9OlTAB1nSm4I1tbW9G//9OlT2rTDWMxOAA8fPtS7Amwo
      jx8/RkpKCgB1AXB3d2/22gkTJoDP54MQgqNHjxplCgGou07V1dWgKIoWU1uRy+XNjltagxCC
      33//nfamMWTIkC7rlllZWdELcdXV1cjIyDApHbMTwMWLF/HFF1/QngSMob6+Hr/88gvdLZkw
      YQI9TakPd3d3CAQCAEBhYSG+//57KJVKg54lFouRkJAAQghcXFzg5+dndH71IZfL8dVXXyE+
      Pt7oiuDOnTs4ffo0APXAc9SoUe2SJ1MZN24cbGxsQAjBgQMHjPbxJBaLzU8AgLowBgUFYdWq
      VQbXhtXV1Vi3bh3t5cDV1RWBgYEt3kNRFBYsWEDvB0hOTsb+/ftbFUF1dTU2b96s/kAG7ic+
      d+4cBAIB7XNIY0ahj/r6esTHx2Py5Mk4efKkXu90Tblw4QJWrVoFqVQKiqIwZ86cLt9J5uHh
      QbuNkUql2LhxI+2BozUKCwuxcuVK8zOGc3Nzg6WlJerr65GRkYGrV6/C1dUVM2bMwEcffYRe
      vXrRiymEEDx58gRHjhzB2bNn6UJla2uLzZs3G7TJXeOuIzIyElKpFAkJCcjKykJkZCT8/Py0
      Fm4aGhpw+fJl7Nu3j546nTBhAgICAlp8Rl1dHU6ePEl7nevZsyeaM/Hicrl49913UVZWBolE
      gujoaMTExGDUqFGYOnWqlvkAoG4xrl69CqFQqN5C+F87KM0qtT5UKhVu3LiB6urqFvMtFovp
      xb0HDx7QK7r66N27NwYNGqR1jKIohISE4NmzZ7h8+TLKysqwdOlS+Pv7Izg4GAMGDNDajK+x
      a/r73/+OtLQ0EELM0xiupKQEe/fuxcWLF41eyXR2djbJGrKpa0RAPYjm8Xj0/xKJhK6NjTGH
      vnXrFr766it6Tv4vf/kLQkJCml0VJYTg7Nmz+PHHH7Xy0xqaHVitWcI2NQZsD1ry3ldfX4+4
      uDj89ttvOt9T42xYoVDQjtA0UBRlngLQUFZWhl9//VWrdm+O9rCHb8k3ZtNnrVy5stldTU2J
      i4tDQkICAKB///5ahnQtYaj9PAAMHz7coL0QQOcLQENRURH27NnTqokGRVF4//33sWrVKvMW
      gAaNm5S7d+8iJyeH3s3FZrMxcOBA+Pr6ok+fPu1mjlxbW4urV68iIyMDubm5UCqV6N69O3x8
      fDB27FijPEKXl5cjJCQExcXF4HK5iI2N1ekqGIJcLseDBw9w9+5dPHjwgD7u5OSEAQMGYNiw
      YUan2VUoFArcvn0bd+/ehVgspo/b2dlh0KBB8PX1pSsIRgBvOKdOnUJ0dDQIIV26b+BNhfml
      3mAUCgWSk5NBCIGHh4fR1pAMjADeaB49eoSCggJwOBxERES8sf59uhJGAG8wKSkpkEqlCAwM
      xODBg7s6O28kjADeUMrLy5GWlvbaeZ1+02AGwQxmDVNtMJg1jAAYzBpGAAxmDSMABrPm/wHQ
      Ipzoj024JgAAAABJRU5ErkJggg==
    </thumbnail>
    <thumbnail height='92' name='KPI - Unemployment Rate' width='192'>
      iVBORw0KGgoAAAANSUhEUgAAAMAAAABcCAYAAAA4eLo/AAAACXBIWXMAABJ0AAASdAHeZh94
      AAAeYklEQVR4nO2deVyTx9bHf32MgYggQUGLKdcFqagUKqJY8YotRUTrxb1eN7SU2lprXSrW
      XXCh6qXYWq/i9RYVvIpXrbiA4FUUtVZUwIWC4lLBKIvBxISQhed5/8DMm0g2AqI1z/fz4Z/J
      ZGbyMOeZM2fOnPMGwzAMWFisFOplD4CF5WXCCgCLVcMKAItVwwoAi1XDCgCLVcMKAItVwwoA
      i1XDCgCLVcMKAItVwwoAi1XDCgCLVcMKAItVwwoAi1VjkQDQNI3KykooFAqDdRQKBSorK0HT
      tMWD+zNw4sQJTJs2DTKZ7GUP5U+LTCZDeXm5zl9zzR2OJV+qrKxEeHg45s6di6CgIL11srOz
      ERcXh8TERLi4uDRqkCx/HhQKBWQyGRwdHUFR5r1fk5OTkZCQUK+coigMGDAA33zzDVxdXRs1
      LrFYDA6HAzs7O90+GtUqC8tzZGdnY968eZDL5Q36npeXF06fPo1Lly7h0qVLuHjxIpKSkqBQ
      KPDll19CKBQ2alxr165FcnJyvXJWAFheSSiKgoeHB1avXg1bW1scOXLkhfRjkQpkKSqVChKJ
      BHw+H7W1tcjJycHZs2ehVCoREhKC3r1711s2aZpGcXExfvnlF0ilUvTs2ROhoaGwt7fXqae9
      9IrFYmRkZODGjRs69VUqFX799VecOXMG9vb2+Nvf/oZOnTrptKNZKrlcLqnL5XIREhKCXr16
      mb2sA0BNTQ1OnjyJnJwcAMCAAQMwaNAgtGzZktSRyWSQy+VwcnLS27ZCoYBYLAafz0fLli0h
      k8mgVqvRpk0bCIVCpKWlobS0FH5+fnj//fdha2uL6upqnDp1CpcuXYJAIMBHH32kVw1VqVRY
      s2YNWrRogUGDBmHAgAH1xqCtOgiFQmRlZaGwsBCdO3dGWFgY+Hy+zjjFYjFUKhXKy8uJukFR
      lMHfZwo+n4+AgADcuXNH77O5cuUKKisrUVtbCycnJ/Tp0wetWrXSGb9CoYBCoYBUKkV5eTn5
      zMbGpnkF4Pfff8fKlSsxZMgQ7NmzB23atIGnpyfkcjnmzp2LSZMmISIigjwopVKJuLg4ZGRk
      YOjQoejduzfS09Oxfft2bNiwAe+88w5pOzs7GwkJCejatSvOnTsHb29v2NvbY8eOHTh+/DiC
      goKwfft2tG/fHu7u7rhy5Qr27t2L2NhY/PWvfyXtrF27FiKRCOXl5XBycoJAIMDDhw8xY8YM
      BAcHY9GiReByuSZ/682bNxEVFYXa2lr06tULABAXF4ctW7YgPj4eAoEAAFBYWIiFCxciNjYW
      vr6+9drZu3cvzp07h/j4eLRs2RLJycm4cOECWrdujRs3bsDb2xtcLhfr16/HmTNn4Obmhn37
      9qFz584QCARIS0vDnj178NNPP8HDw4O0+/DhQ8ybNw9Dhw4FTdNYv349kpKSsH79ejg4OOg8
      D1tbW4hEIuTm5sLHxwd8Ph9Hjx7FoUOHsGnTJggEAly8eBFr166FQqFAdXU1Zs6cSdpo164d
      4uLi0K5dO3Onikl27dqFn376CW3btoWXlxcoisL169dRXV2NuLg4Mjc2b96M7OxsiMViXLly
      BSdOnCBtDBw4EGAsoKysjBk6dCiTmZlpsE5mZiYzdOhQpqysjJTl5+czgYGBzMyZM5ni4mKd
      +vv372dGjx7NPH78WKds5MiRTElJCSmrra1ltm7dykycOJERiUQ6/Q0YMIDZunUrI5fLSfnt
      27eZDz/8kJk5cybzxx9/kHKVSsXMnTuXWbx4sc44oqKimLFjxzJFRUU65UVFRcywYcOYpKSk
      er8zPDyckUqlpEwsFjNTp05lli5dyigUClIul8uZxYsXMxEREaR+dXU1ExkZyaxcuZKpra3V
      aVsqlTLh4eHMjh07SNnWrVuZwMBA5tChQzr1z507xwQEBDDLly/XeS5isZiZOHEis337dlKm
      UCiYOXPmMEuXLtWp98knnzBxcXE67UZFRTGBgYHM3r17dZ6rSCRiJkyYwCQnJ5t8HqbYunWr
      we9onsHWrVt1ygsKCnR+J8PUzY1NmzYxEydOZMRisc5nUVFR9dpgGIZp9j2As7Mzli1bhq5d
      u+qUu7u7g6IoqNVqAHWqwZEjRxAeHk7elkDdcjpy5EgolUrcuHFDp41u3bph4sSJsLW1JWXt
      27dHx44dERYWBjc3N1LO4XDw9ttvk/60CQoK0nlbAoCHhwfGjRuHEydOmDR5XrhwAU+fPsWs
      WbN0VgtbW1tERkbi0aNHyM3NBQDweDz8/e9/R05ODkpLS3XaKSwshFgsRmBgoE55v379MGLE
      CB2Vwt3dHW+++SZGjRpF1BIAcHBwgEAg0PmdhYWFuH//PiIiInTqTZ48Gb/++iuePHmi09+E
      CRMwbtw4nefK5/Ph5uYGqVRq9Fk0hqqqKsTExEAsFmP48OE6n3l6eur8TqBubgQHB0Mul6Os
      rMysPl7ZTbBQKIRYLIanp2e9z5ydndGlSxdcvXq1Wcfk4+MDqVQKsVhstN7Fixfh6ekJZ2fn
      ep8JBAJ4enrqjP3dd99FmzZtkJWVpVP33Llz6Ny5c6NNgM9z/fp1uLi4oH379jrlnp6eYBgG
      9+/fb9L+zKGwsBBjx45FaGgoQkNDERwcjCFDhqC6uhqbNm0y+gy0zxFUKhUAmG2FatY9QEOQ
      y+WQSqXYtm2bzptHw+3bt5t9TBodtrKy0ug/RCqVokuXLno/oygKnTp10plkDg4OCA4ORkZG
      BsLCwuDg4ACxWIycnBxERESAw2naf5NUKkVJSQlWr16tU65UKvH48WNUVlY2aX/m0KFDB0yZ
      MgVvvPEGdu/eDR6Ph8TERIPPubq6Gps3b0Zqaipqa2vRpk0bAHVGE6VSaXa/r+wKYApPT0+8
      ++67zdpnVVUVVCoVeDxeo9qpqampVxYYGAixWExUo2vXrkGhUMDLy6tRfTUELpeLgIAAvPnm
      m83WpwZHR0cEBwcjLCwMGzduhEqlwrp16yCRSOrVlcvl+Oabb3Dv3j0kJSXh3LlzOHbsGI4d
      O4adO3c2aLNt0avFzs4O7du31zEpPU95eTnat29f7+TNXBwdHWFnZ4dJkybpWHteJg8ePECr
      Vq1Mnmy7ubmhuLgYNE3XM/0pFAoUFxejT58+OuUCgQB+fn5ITU1F//79cfLkSQQEBMDJyanJ
      f4eLiwvatWuHqKgoi/8/L5I333wT//jHPzBv3jwsW7YM0dHROpapoqIiCIVCbNy4UWdfZwkW
      rQB2dnbo2rUrMjMz9W4IZTIZMjMz8e6771r8gJ2dneHs7Iz//e9/Bn1C9G1gXxQSiQS7d++G
      v78/WW4N0a9fP9y6dUuvLl1UVIQ7d+7A29tbp5yiKIwbNw63b9/G+fPncePGjXqb36aie/fu
      KCsrw/Xr1+t9RtN0o31wmqINjRCUl5fjm2++0VkJpFIpamtr9arGKpUKtbW1etvUN18sVoEm
      TZqEsrIyxMTE4OnTp6T86dOniImJwePHjxEWFmZp8+DxeJg4cSIOHjyIlJQUsrkB6jbIK1as
      QGJiosXtG+N5Rz+hUIhFixZBIpFgzJgxJr/v5eUFLy8vrFixQucIv6SkBLGxsfD3968nAECd
      Jadr166Ij48Hn89Ht27dmuYHPYeHhwcCAgKwatUqMlFpmsalS5cwY8YMvYJhLgKBAI8ePcLp
      06dJ20ql0iKB0AjB06dPdYTAzc0NDMPgwoULpN2amhqkpKRg2rRpqKqqqtdWjx49kJGRgXv3
      7gH4/72CxburTp06IT4+HosXL8YHH3xAlmqRSASBQIA1a9Y0enkKCAhAbGwsYmNjERcXBycn
      JyJsw4YNw/jx4xvVviHS09Nx+PBhYsKUy+UYMGAAtmzZYpZjH5fLxcKFCxETE4NRo0bB0dER
      QN2p5LBhwzB37ly9G1sOh4MRI0YgKioK4eHhjd5rGIKiKMydOxc7d+7EwIEDYW9vD5FIhLZt
      2+Lzzz8nB3eW4OHhgUmTJiE2Nhbr168Hh8OBm5sbNm3aZJE2oK0Off3114iLi4ObmxtmzpyJ
      VatWYePGjbCxsYFYLEbfvn3x3XffYe3atfXaCQsLQ15eHsaNGwdHR0fIZDJMnToVbzBM44Lj
      0jSNiooKXLt2DUDd28/Z2dmiY29jfTx58gRqtbpRx+rmsHDhQnTp0kXnTdKmTRvY2NhY1J5I
      JCJvVB8fHx1dVh+FhYVYvnw51q9f3+gXiDlo9nE2NjYmVbuGoHGNAEDcOJoahUKBu3fvAgDe
      eustswRM4xrB4XDg6OjYeDMoRVFo3759PZtyU6KZ9M1Jy5Ytm8SN28nJScfVwhg0TSMtLQ09
      e/bUOfx7kbwoV3UbG5sX7gZvY2OD7t27N+g7zwv5n9YM+rpB0zSysrKQlZWFUaNGvbAVjkWX
      V/YgzJpISEhAQkIC+Hw+Fi1a1CgdnKVhNHoPwMLyZ4ZdZ1msGlYAWKwaVgBYrBpWAFisGlYA
      WKwaVgBYrBpWAFisGlYAWKwaVgBYrBpWAFisGlYAWKwaVgBYrBpWAFisGlYAWKwaVgBYrBpW
      AFisGvZGmJloX/IG6mIjvYigUjRNQyQSgaZpcnHbmq5HymQyEmuqMcEIzOWVFICqqir885//
      xNmzZzFw4EB8++23L2UcNE3j1KlT2L59O4n0po2rqyvCw8MRGhqqN0iTuX0UFxcjKSkJFy5c
      gEgk0vmcoig4Ozvjgw8+wMcff2xRoNy9e/fWi6RtLuPHj0fPnj0t+q45VFdX4/jx49i3bx/u
      3r2rE/8JqLv43qtXL4wdO7ZechFzKCkpwc6dOw0mdHwlrkTW1NRg165d2LVrF6qrq3U+CwoK
      QmxsbLOOp7y8HAsWLCDhTFq1aoUhQ4Zg9OjRcHJyglQqxfHjx5GSkkLiFAkEApIswhyuXLmC
      BQsWkFDkFEXB3d0dQ4cORdu2bUm9wsJCZGdn48GDB0QANTGZzOmrvLwcERERFufYio2NNZgI
      0VJqamqwZs0apKenk9/k4OCAgIAA+Pn5oUWLFgDqIsCdP38eOTk5ZAJTFIXPPvsM06ZNM2tl
      /Pe//43NmzcbrmB2FoMXgFKpZA4ePMgEBgYyvr6+5G/w4MFM//79GV9fXyYqKqpZx6RQKJil
      S5eSsUyfPl0nyYc2EomEmT9/Pqn7ySef1EvMoI+7d+8yQ4YMYXx9fRk/Pz9m1qxZzIMHD4x+
      p6ioiBk7dmyD+7p58ybz/vvvM76+vnoTRDQ3tbW1TFxcHPkd+pJ9PI9cLme2bNlC5kT//v2Z
      o0ePmtVfTEwM4+vrWy9Zi4aXolzSNI2MjAyMHj0aq1atIm9RFxcXrFixAsnJySSaWnNz8uRJ
      ZGRkAKgLZPX9998bjG9jb2+PmJgY8obMy8vDnj17jLavVqvx448/khDkISEh2LBhg0nVxsPD
      A//617/g4+Njdl8AUFZWRnRqQyHbm5Pc3FwcOHAAQN1b//vvv6+X7ON5bG1t8dlnn2HJkiXg
      crlQKpXYsmWLyVVNoVCQOoYCNb8UAUhMTMSiRYvI4Ozt7bFkyRIcOnQIw4cPJ0tgcyORSJCU
      lAS1Wg07OzvMnDnTZCQ3W1tbfPHFF2QCHzlyxOg/5u7du8jLywNQN6nnzJljVs4xoG7CLFiw
      gGRGOXXqlMlkHffv34darUarVq2aNEeXpaSlpUEul4OiKHz55ZdEoM0hJCSEZIoRCoW4ePGi
      0foymQyPHj0CUBdsWV+oyZciAJoovfb29pg1axbS0tIQFhb2QsLnNYTc3FwUFxcDAD744AO9
      AWz14ebmRoLmajIpGqKkpISseIGBgfXS/JjC3d2d5EV49OhRvbRKz6OZAK1bt37pCcurq6tJ
      cFoXFxe89957Dfo+RVEIDQ0lWSAvXbpktL5UKiUpnDp16qR3lXkpAmBra4tPP/0UR48exdSp
      Uy22oDQ12dnZUKvV4PF4GDZsWIPMj4GBgSR849mzZw1aHbRDh1uikmg2y5q2DIUCB+peNJoQ
      7c7OzvVSyzY3DMOQ8Vo6HldXV7Ru3RqA6fD4jx49Mqn+vRQz6JQpU15Gt0YRi8XEVPiXv/yl
      waHJXV1d0aNHD5w9exbFxcUoKyt7YcFtzc2LIJfLSYBfPp//wqJNNycNyQkhEomgUChgY2Nj
      MLas9ZywmECTZA2oSyBhSvd/Hg6HQzLZSCQSg4nmXFxcyGbMkiR/crkc+fn5AIC2bdsaNYU+
      ffoUFRUVAOrUtKbONdZQeDweSb/04MEDPH78uMFt3Lp1i5yVmMocpEmubWdnhw4dOuitwwrA
      M7R1c0tjc3p4eIDD4eioHs/TrVs30r52wgZzycnJIaHo+/TpY9RaVllZSVQAQxOgOaEoCiEh
      IeByuRCJRNi/f3+DEmfI5XKkpKRArVaDz+fXSzP1PJr/QevWrYnaVG9M5g//9ebRo0egaRo2
      NjYWpyXVVjM0m8/n4fF4+PTTT+Hg4IDKykpER0fXy8triHv37iEuLg5KpRICgQBTpkwxuk8p
      Ly+HTCYjSSpeBfz9/YnZeN++fTh27JhZQkDTNBITE5GTkwOKojB27FiyF9KHTCYjuYI7dOhg
      0G2FFYBnaKwFHA7H4k25tqnNWAJBHx8fLFiwALa2trh69SqmTJmC8+fPG5wINE0jNTUV06ZN
      Q2lpKRwdHREdHW3yJFhbBXiR+RsaApfLxfz58+Hr6wulUono6GidsyB9CIVCfP311/j5558B
      AKGhoQgPDzcq/NoC4OrqatCn6JX0BXoZaJZLOzs7i+3l2sJTU1MDtVptUO8OCQmBo6Mj1qxZ
      A6FQiK+++grOzs4ICAjAO++8gxYtWkCpVOK3337Db7/9RvJjeXp6Ys2aNXjrrbfM/k2arPX6
      Jkz37t3RvXt3+Pv7w9PTs1lM0ZoDsLi4OKSmpiI1NRVpaWnw9PTE4MGDiStIaWkpsrKyiB+W
      xno4efJkkxa6iooKkiw7MzMT58+f11uPFYBnaFsXLN0saqcZ0k7FYwh/f3+kpKTg2LFjSExM
      hFAoxMGDB3Hw4EGdehRFwcPDA5988gkGDx5slnlWLpeTVYimaYPJr8vLy3HmzBkkJCSgZcuW
      CAkJweeff/7CzwxatWqFJUuWYMKECdi2bRtOnz6Nq1ev6jUMtGrVCqGhoZg+fbrZ49Le/2h7
      mD4PKwAvmQcPHuDixYvEWqMPmqZRWlqKK1euoG/fvmbZz3k8HubMmYOUlBS9ZwVKpRKFhYWo
      qKggZxYqlQqHDx9GZmYm5syZg5EjR75QV+yamhrk5+ejoKCgnhfo8/WuXr2KO3fuoF27dmaN
      qX///pgxY4ZBI4NQKIRQKGQF4GVRU1ODH374Af/9739B0zT4fD5GjRqFIUOGoGPHjrCxsYFM
      JkNJSQn279+P48ePY+/evTh06BC++uorjBkzxuRE8PT0xPLly02OpaKiAgcPHsS+fftQVVWF
      mpoafPfdd3jy5InZXpcNJT8/H0uXLoVQKARFUejTpw8mTJgALy8vYtmqqKjApUuXkJycjOLi
      Ynz55Zfw9vZGTEyMSUMFl8vF9OnTTY6D3QQ3IWq1GjU1NQCAFi1a4I033tBbTyKRYPbs2UhJ
      SQGXy0VkZCQOHz6Mzz//HF26dCEbNjs7O3Tv3h2LFy/G0aNHMXz4cCiVSmzYsAHr1q2DUqls
      knE7OzuTMYwePRoURYGmaSQnJ6OgoKBJ+tAmPT0dM2fOhFAohIeHB5KSkrBlyxYMGjSIZADV
      JF8cNmwYkpKSEB8fDxcXF+Tn5yMiIqJRuYy1YQXgGRozoVwuN6qOGEP71li7du2Iz4o2mgl8
      +fJlcLlcLFq0CJGRkSYtT/b29li2bBkiIiIAAAcOHEBiYmKjM7JrY2tri6ioKEybNg1AnaD+
      /PPPDTp9NUVeXh7WrVuHmpoa+Pj4YMuWLfDw8DD6HYqi8N577yEhIQECgQDl5eVYsmSJST8o
      c2AF4Bmazaop/xpjaCw/2u09j7a79eTJkxESEmJ2+xRFITw8HEFBQaBpGvv27SPOe00FRVEY
      M2YMeSEUFRUZ3EA3FJlMho0bN0IikcDV1RXLli1r0Im7QCDA8uXLYWdnh9LSUuzcubPRLwBW
      AJ6hcZaSyWRGbfjGEIlERAXSd/CkUCiQmpoKtVqNDh06WLTJ5HK5GD16NHg8HqqqqnDkyBGL
      xmoMjTkWqFsFDB3qNZTc3Fz8/vvvAIDhw4dbdDjn5eVFToCzsrIavQqwAvAMbZXl5s2bFrVx
      7949cqVTn/ehWCwmVgl3d3eLzxs6d+4MZ2dnAEBBQUG9a6RNgWb81dXVTbYCFBQUQK1Ww8bG
      pkH3ALThcDjw9fUFADx58qTRKyArAM9wdXUl1oebN29apPdqNmb29vbE6UsbbfdcW1vbJjlv
      0F51mhJDvjONQXMy3ZjTduD/s9vTNN3o1YkVgGc4OTmRt15RUVGDL5Fru1N36NDB7Mvxryqa
      yWpjY9Ngz9g/E6wAPIPD4aBv374A6uzPxm516SMvLw93794FAPj5+ZE3tDYdOnQg5X/88YfJ
      64yGePz4MR48eEDabOr4RGq1mpg/jbkSNxSNtUcmkxEBswTNaXFTOPmxAqBFQEAA0a3T09PJ
      ZRJTaLvp8ng8DBo0SG89JycnctHmjz/+IH79DSUrK4v4xHfv3l2vo1dRUZHFFpLLly/j8uXL
      AOr2Kk3lSOft7U2cBTMzM4mvTkOoqKjA2bNnAdR53+oTgMrKSrMNGawAaCEQCBAcHAygbh+w
      Z88esyZRWloacnJyAAB9+/Y1eJeYw+FgxIgR4HA4UCqViIuLa7AVIy8vD4mJiQDqJoAhM+qO
      HTvw9ddfN1iVe/LkCbZu3Qq5XE7G21TR2Xr06IEePXoAqLvXsGvXrgYJqVKpxI8//kic/AYO
      HKhX1RQKhZg+fTpSU1NNtv9aC4Barcby5csRGhqK0NBQ7N6922h9iqIwfvx48lbZtWsXDhw4
      YPQhnjx5EvHx8aBpGg4ODpg2bZrRzW3//v3JZfDS0lIsWLAAJSUlZv2ec+fOYf78+ZBIJCZ9
      4mmaxvnz50noGXNWs5KSEnzxxRdExfD19TW4mmm4evUqBg0ahD59+qBPnz5ISEgwWJfH42H6
      9Ong8XjEv99cW351dTWWL1+O9PR0ADB5H+Lp06eIjo7GmDFjcObMGYN9NLsvUG5uLh4+fGi0
      jkQiIZaNhw8f4tixYwbrOjo6om/fvnonXXFxMbKzs4krscbn3xiurq6IiIjAqlWroFQqsW7d
      OhQUFGDWrFk6ERyqqqqwa9cu7NmzB0qlkvi5m7pNxuVysXDhQohEIly/fh03b97EuHHj8OGH
      H2LSpElwd3fX+aeqVCrk5eVh27ZtyMvLI//IkJAQoz7xb7/9Nk6ePAmVSoVffvkFqamp8Pb2
      RlhYGPr27Yu2bduCoiioVCrcunULO3fuxOnTp4lTWqdOnfDtt982+T1iPz8/zJ49m1zs2bRp
      E1JTUxEeHo7AwMB6G26Nn9J//vMfcmfAwcEBK1asMGhoaNeuHVxcXHD37l3cv38fc+fOBZ/P
      R3BwMD766CN07tyZrGrNHhpx4cKFOHHiRJO15+XlhU2bNundCP7www/YuXMngLrNXHx8PAkp
      YgyappGeno41a9bomBg1wVrVajWePHlCJmNDw/UBdapGdHQ0zp49W+/tpOlHnxsvRVGYMmUK
      IiMjTcYTunnzJjZs2KAjOObg7e2NtWvXmuV6fPXqVcyaNYuMMzIyEpGRkUa/Q9M0Tp48idWr
      V9e7CNOyZUvw+XydIMHavPXWW/juu+9Muk/U1NRg7969SExMNHrZ5rX1BpVIJDqBkz7++GOz
      4/xo4s907NgRK1euJDqnPquNq6srFi5cCH9//wad6jo6OpLJ+f333+tsWvX1Q1EU/P39MXv2
      bHTt2tWsPjw8PJCQkIDbt28Tn3tjbsdubm6YMWMGgoKCXqgbNEVRCAoKQr9+/bBjxw6kpKSQ
      wzyVSqV3A8vn8/Hpp59ixIgRZp0h2NraYurUqRg/frzOfYvneSWC474ITp8+jaioKKjVavTq
      1Qs//PCDRfZsmqaRn5+P9PR05ObmQiqVonXr1ujZsydCQ0Ph4+PTJLeoJBIJ8vLykJubqxMt
      QSAQwMvLC7179270ZlSlUqG0tBTXr19Hfn4+lEolWrduDW9vb/Tu3ZtYwJobTYTsvLw8/P77
      78QXi8vlwtvbGz4+PujYsWOjhVIsFqOgoADXrl0jxofXUgDUajWioqJw+vRp8Hg8bNiwAf36
      9XvZw2J5BXktrUDa8TdHjRoFPz+/lzwilleV11IAfv31V4jFYnh4eJiMHsBi3bx2M0MikSAj
      IwM8Hg+zZ89ucPBZFuvitRMATYTnoUOHsqoPi0ley00wC4u5vHYrAAtLQ2AFgMWqYQWAxaph
      BYDFqvk/8hd0HQpH9/4AAAAASUVORK5CYII=
    </thumbnail>
  </thumbnails>
</workbook>
