tag:blogger.com,1999:blog-45167626914753972262023-11-16T07:23:21.384-05:00UNCG's DatalandUNCG's land of data releases, new data sources, fun stats information, and much more!Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.comBlogger191125tag:blogger.com,1999:blog-4516762691475397226.post-15545388842833168862019-01-08T14:11:00.000-05:002019-01-08T14:11:10.881-05:00Free Webinar on ICPSR's Summer Program<div dir="ltr" style="background-color: white; color: #222222; font-family: Arial, Helvetica, sans-serif; font-size: small;">
<b style="font-size: large;">Webinar: An Overview of the 2019 ICPSR Summer Program</b></div>
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<b>Date and Time:</b> Monday, January 28, 2019 at 2 p.m. EST</div>
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<b>Register:</b> <a data-saferedirecturl="https://www.google.com/url?q=https://attendee.gotowebinar.com/register/5916092033573660417&source=gmail&ust=1547059456188000&usg=AFQjCNGGehggIoiULIN8jHq_SL387aThqA" href="https://attendee.gotowebinar.com/register/5916092033573660417" style="color: #1155cc;" target="_blank">https://attendee.gotowebinar.<wbr></wbr>com/register/<wbr></wbr>5916092033573660417</a></div>
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Founded in 1963, the ICPSR Summer Program offers rigorous, hands-on training in statistics, quantitative methods, and data analysis for students and researchers of all skill levels and backgrounds. Participants in the ICPSR Summer Program learn how to understand data and gain valuable research skills that help them to advance their education and careers. The ICPSR Summer Program is world-renowned for its premier quality of instruction, fun learning environment, and unparalleled networking opportunities. </div>
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From May through August 2019, the ICPSR Summer Program will offer more than 80 courses in Ann Arbor, Michigan and other cities around the world. Registration for all courses will open in early February 2019.</div>
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In this live webinar, Summer Program staff will discuss this year’s courses, scholarship opportunities, registration, visitor information, and more. The presentation will be followed by a Q&A session. This webinar is open to anyone interested in learning more about the ICPSR Summer Program, including students, faculty, advisors, researchers, and ICPSR ORs and DRs. We hope you’ll forward this invitation to interested individuals at your school or institution!</div>
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Can’t attend the live webinar? Not a problem! Registrants will receive a link to a recording of the webinar after it is over.</div>
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Questions? Visit <a data-saferedirecturl="https://www.google.com/url?q=http://www.icpsr.umich.edu/sumprog&source=gmail&ust=1547059456188000&usg=AFQjCNFZenI0_tozfUigK8Yy2lGAoY9CrQ" href="http://www.icpsr.umich.edu/sumprog" style="color: #1155cc;" target="_blank">www.icpsr.umich.edu/sumprog</a> or contact <a href="mailto:sumprog@icpsr.umich.edu" style="color: #1155cc;" target="_blank">sumprog@icpsr.umich.edu</a> or (734) 763-7400.</div>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-48777836014280051642018-10-02T12:50:00.003-04:002018-10-02T12:50:54.507-04:00ICPSR Data Fair!<span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;">Join me at ICPSR's <span class="il">Data</span> <span class="il">Fair</span> 2018 - “<span class="il">Data</span>: Powered By You.”</span><br />
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<span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;">We'll learn about current trends and best practices in <span class="il">data </span>transparency, <span class="il">data</span> activism, what to do with <span class="il">data</span>, and more! </span><br />
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<span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;">October 1-5, entirely virtual and free to all.</span><span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;"> </span><br />
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<a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.icpsr.umich.edu/icpsrweb/content/membership/datafair/&source=gmail&ust=1538585316698000&usg=AFQjCNEDwHTfVACfF0vvjjM1xnveh5ItOg" href="https://www.icpsr.umich.edu/icpsrweb/content/membership/datafair/" style="box-sizing: border-box; color: #3454b7; font-family: "Open Sans", sans-serif; font-size: 17.5px; text-decoration-line: none;" target="_blank">Learn more</a><span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;">. <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.youtube.com/watch?v%3D1x_bSPaU0uE&source=gmail&ust=1538585316698000&usg=AFQjCNGhFHOXno8SQRWTtp_iQeZhXjZCaw" href="https://www.youtube.com/watch?v=1x_bSPaU0uE" style="color: #1155cc;" target="_blank">https://www.youtube.com/<wbr></wbr>watch?v=1x_bSPaU0uE</a> </span><br />
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<span style="background-color: white; color: #333333; font-family: "open sans" , sans-serif; font-size: 17.5px;"><br /></span>Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-43798697108714442222018-08-03T08:36:00.001-04:002018-08-03T08:36:36.102-04:00New Research Data Management Toolkit<span style="background-color: white; color: #292f33; font-family: HelveticaNeue, "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif; font-size: 14px; white-space: pre-wrap;">Check out the new </span><span style="background-color: white; color: #292f33; font-family: HelveticaNeue, "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif; font-size: 14px; white-space: pre-wrap;"><a href="https://rdmtoolkit.jisc.ac.uk/">Research Data Management Toolkit</a> from Jisc in the UK. While it is primarily UK focused, there are general guides, reports, and tools for non-UK researchers. </span><br />
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<span style="background-color: white; color: #292f33; font-family: HelveticaNeue, "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif; font-size: 14px; white-space: pre-wrap;"><br /></span>Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-34216009455491873332018-07-24T09:57:00.000-04:002018-07-24T09:57:59.742-04:00New data from IPUMS<br />
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<strong>CPS</strong><br />
New Veterans and Child Support supplement data are available via <a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D47ba4d42d4%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNEgDg0tmwP31HtSYqeLdTAgobaLpQ" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=47ba4d42d4&e=4c7b360f5c" style="color: #336699;" target="_blank">IPUMS CPS</a>. If you missed the CPS linking workshop, you can <a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D8a789117a7%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNH5ygHUsgkJLjj6A5UC6ojPJgEw2w" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=8a789117a7&e=4c7b360f5c" style="color: #336699;" target="_blank">find all of the materials online</a>. If you're curious about what months of CPS can be linked together or what supplements can be used in tandem, check out our <a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D673db2e348%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNE1qY3a_b18WJ-Ryw87rA0hygx89g" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=673db2e348&e=4c7b360f5c" style="color: #336699;" target="_blank">CPS linking tool</a>.<br />
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<strong>GLOBAL HEALTH</strong><br />
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<a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Dbf29e4294f%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNGg9L4S9iEVnGoGVD9hMj-Ky-_0uA" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=bf29e4294f&e=4c7b360f5c" style="color: #336699;" target="_blank">IPUMS DHS</a> released new data for Uganda 2016, as well as biometric variables for women from individual recode files.<br />
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<strong>HEALTH SURVEYS</strong><br />
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The 2017 NHIS data are now available. We added more than 1,500 new integrated variables, available via <a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D7b1de32b03%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNHYcDjggjsBEOuvzZUX7mPstuVf1A" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=7b1de32b03&e=4c7b360f5c" style="color: #336699;" target="_blank">IPUMS NHIS</a>.<br />
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<strong>TIME USE</strong><br />
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2017 American Time Use Survey data are now available via <a data-saferedirecturl="https://www.google.com/url?q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D72fa416dfc%26e%3D4c7b360f5c&source=gmail&ust=1532526060163000&usg=AFQjCNG8ittDAdLYu8Kk5GHOlnfewAVV6Q" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=72fa416dfc&e=4c7b360f5c" style="color: #336699;" target="_blank">ATUS-X</a>. It's about time.</div>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-30616166648901880092018-07-19T17:07:00.002-04:002018-07-19T17:07:28.310-04:00Election Data at Roper Center<div class="separator" style="clear: both; text-align: center;">
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Explore the newly acquired 2014 NEP Election Day Exit Polls & 2016 NEP State Primary Exit Polls, available now at the Roper Center. The 2014 election day collection features the <a data-saferedirecturl="https://www.google.com/url?q=https://cornell.us9.list-manage.com/track/click?u%3Dea9256b7a791e31cc2bbb1275%26id%3D06e2114b56%26e%3D335aeeb113&source=gmail&ust=1532120066300000&usg=AFQjCNFp0ZGpg2kLFnp_WxpbHIhG-2dYIw" href="https://cornell.us9.list-manage.com/track/click?u=ea9256b7a791e31cc2bbb1275&id=06e2114b56&e=335aeeb113" style="color: #3300ff;" target="_blank">2014 national dataset</a> as well as <a data-saferedirecturl="https://www.google.com/url?q=https://cornell.us9.list-manage.com/track/click?u%3Dea9256b7a791e31cc2bbb1275%26id%3D414e4d738e%26e%3D335aeeb113&source=gmail&ust=1532120066300000&usg=AFQjCNH4eWWswGJMo6QjVN540645o92kSw" href="https://cornell.us9.list-manage.com/track/click?u=ea9256b7a791e31cc2bbb1275&id=414e4d738e&e=335aeeb113" style="color: #3300ff;" target="_blank">27 state-level datasets</a>. The <a data-saferedirecturl="https://www.google.com/url?q=https://cornell.us9.list-manage.com/track/click?u%3Dea9256b7a791e31cc2bbb1275%26id%3D5926d4206f%26e%3D335aeeb113&source=gmail&ust=1532120066300000&usg=AFQjCNFh8UUbeRVEUg-FUXKjWeVq5l3Jmg" href="https://cornell.us9.list-manage.com/track/click?u=ea9256b7a791e31cc2bbb1275&id=5926d4206f&e=335aeeb113" style="color: #3300ff;" target="_blank">2016 state primary collection</a> includes data from 55 primaries. Access more at <a href="https://library.uncg.edu/dbs/auth/go.aspx?vdbID=605">Roper Center for Public Opinion Research</a></div>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-3158455074775517252018-04-11T09:43:00.000-04:002018-04-11T09:43:08.495-04:00FREE ICPSR Workshop on Head Start Family & Child Experience Survey 2014<div class="gmail_quote" style="-webkit-text-stroke-width: 0px; background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
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<br class="Apple-interchange-newline" />From ICPSR. This free workshop is in Arlington, VA this summer.</div>
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<span style="color: black; font-family: arial, helvetica, sans-serif;">Join us for a free data<span> </span><span class="m_6409974906509256750m_3424757907676138788gmail-m_2177490264741082525gmail-m_2573237254662311393gmail-il">workshop</span><span> </span>sponsored by <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://umich-dot-yamm-track.appspot.com/Redirect?ukey%3D1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0%26key%3DYAMMID-90961128%26link%3Dhttps%253A%252F%252Fwww.researchconnections.org%252Fchildcare%252Fwelcome&source=gmail&ust=1523538369168000&usg=AFQjCNEOxYkvfsmlqNtUK8HW8RVZwtz7LA" href="https://umich-dot-yamm-track.appspot.com/Redirect?ukey=1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0&key=YAMMID-90961128&link=https%3A%2F%2Fwww.researchconnections.org%2Fchildcare%2Fwelcome" style="color: #1155cc; text-decoration: none;" target="_blank">Child Care & Early Education Research Connections</a> to explore the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://umich-dot-yamm-track.appspot.com/Redirect?ukey%3D1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0%26key%3DYAMMID-90961128%26link%3Dhttps%253A%252F%252Fwww.researchconnections.org%252Fchildcare%252Fstudies%252F36643&source=gmail&ust=1523538369168000&usg=AFQjCNEAkOWC2y8LGOhp5jy7jvK6tnf12Q" href="https://umich-dot-yamm-track.appspot.com/Redirect?ukey=1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0&key=YAMMID-90961128&link=https%3A%2F%2Fwww.researchconnections.org%2Fchildcare%2Fstudies%2F36643" style="color: #1155cc; text-decoration: none;" target="_blank">Head Start Family and Child Experience Survey (FACES) 2014</a><span> </span>data! FACES 2014 project leads from Mathematica Policy Research will instruct this one-day data training at the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://umich-dot-yamm-track.appspot.com/Redirect?ukey%3D1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0%26key%3DYAMMID-90961128%26link%3Dhttp%253A%252F%252Fnrcec.net%252F&source=gmail&ust=1523538369168000&usg=AFQjCNHm9IEZOU6Cuciv9QkBUq88Im3o7Q" href="https://umich-dot-yamm-track.appspot.com/Redirect?ukey=1IkxYdkdvJ339xVHv-nMlVuFL50NzxNdxP51zV9Kyu0M-0&key=YAMMID-90961128&link=http%3A%2F%2Fnrcec.net%2F" style="color: #1155cc; text-decoration: none;" target="_blank">National Research Conference on Early Childhood</a> <div style="display: inline; font-family: georgia, serif;">
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<span class="aBn" data-term="goog_1785221479" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 24, 2018</span></span>. Researchers will be introduced to </span><span style="color: black; font-family: arial, helvetica, sans-serif;">the study’s purposes, new design, instruments, and data structure. The training will also focus on analyses of FACES data over time, including methodological, measurement, and analytic considerations.</span></div>
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<b>The<span> </span><span class="m_6409974906509256750m_3424757907676138788gmail-m_2177490264741082525gmail-m_2573237254662311393gmail-il">workshop</span><span> </span>is free!<span> </span></b>Space is limited and you must be registered for the NRCEC to apply. Researchers interested in using FACES data to answer policy relevant questions in early care and education are encouraged to apply. Be sure to include your key research interest topics along with any previous experience working with FACES data when applying.</div>
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<b><span class="m_6409974906509256750m_3424757907676138788gmail-m_2177490264741082525gmail-m_2573237254662311393gmail-il">Workshop</span><span> </span>Date: </b> <span class="aBn" data-term="goog_1785221480" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 24, 2018 - 9am-4pm EST</span></span></div>
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<b><span class="m_6409974906509256750m_3424757907676138788gmail-m_2177490264741082525gmail-m_2573237254662311393gmail-il">Workshop</span><span> </span>Registration Email:<span> </span></b><a href="mailto:contact@researchconnections.org" style="color: #1155cc; text-decoration: none;" target="_blank">contact@researchconnect<wbr></wbr>ions.org</a></div>
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Please see the attached flyer for additional information. For questions, contact Dharma Akmon at<span> </span><a href="mailto:dharmrae@umich.edu" style="color: #1155cc; text-decoration: none;" target="_blank">dharmrae@umich.edu</a></div>
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<br class="Apple-interchange-newline" />Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-63343000926515452232018-02-16T10:46:00.001-05:002018-02-16T10:46:27.131-05:00PSID Data User Training Workshop<div style="-webkit-text-stroke-width: 0px; background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
The ICPSR Summer Program would like to announce the following workshop, sponsored by the Panel Study of Income Dynamics:</div>
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<span style="font-size: medium;"><b>PSID Data User Training Workshop</b></span></div>
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This five-day workshop will orient participants to the content and structure of the Panel Study of Income Dynamics, its special topics modules, and the PSID Child Development Supplement and PSID Transition into Adulthood Supplement. The workshop pairs morning instructional sessions led by experienced PSID researchers and staff with afternoon guided lab sessions in which users construct their own analytic data files. </div>
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Admitted graduate students, post-doctoral scholars, and junior faculty or researchers may request to be considered for a stipend to help with travel and housing costs. All applications received by<span> </span><span class="aBn" data-term="goog_217864466" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">April 13</span></span><span> </span>will be given priority for enrollment. </div>
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<a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0217&source=gmail&ust=1518878328812000&usg=AFQjCNE9UQ3-EFUvMWRfiX3ev3H3Zf2zfw" href="https://www.icpsr.umich.edu/icpsrweb/sumprog/courses/0217" style="color: #1155cc;" target="_blank">Learn more</a><span> </span>about the workshop and<span> </span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html&source=gmail&ust=1518878328812000&usg=AFQjCNFnbJd7RVGHOw_U5eOYYDb41tZMMw" href="https://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html" style="color: #1155cc;" target="_blank">apply to participate</a><span> </span>through the ICPSR Summer Program.</div>
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Support is provided by the<span> </span><i>Eunice Kennedy Shriver<span> </span></i>National Institute on Child Health and Human Development.</div>
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For more information, contact the ICPSR Summer Program at<span> </span><a href="mailto:sumprog@icpsr.umich.edu" style="color: #1155cc;" target="_blank">sumprog@icpsr.umich.edu</a><span> </span>or<span> </span><a href="tel:(734)%20763-7400" style="color: #1155cc;" target="_blank" value="+17347637400">(734) 763-7400</a>.</div>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-8404861448537325062018-02-07T09:44:00.001-05:002018-02-07T09:44:37.636-05:002018 ICPSR Summer Program in Quantitative Methods of Social Research <div style="-webkit-text-stroke-width: 0px; background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
<b><span style="font-size: medium;">2018 ICPSR Summer Program in Quantitative Methods of Social Research </span></b></div>
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The ICPSR Summer Program provides basic and advanced instruction across a wide range of methodologies and techniques for research in the social, behavioral, and health sciences. Our courses emphasize the integration of methodological strategies with the theoretical and practical concerns that arise in research on substantive issues.</div>
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In 2018, the ICPSR Summer Program is offering more than 80 courses in Ann Arbor, Michigan, and other cities across the US, Canada, and Europe. To view our full schedule and register, visit<span> </span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.icpsr.umich.edu/sumprog&source=gmail&ust=1518100563830000&usg=AFQjCNGa1WQkYQP4gYYnIOCxhoKJuDyYUA" href="http://www.icpsr.umich.edu/sumprog" style="color: #1155cc;" target="_blank">www.icpsr.umich.edu/sumprog</a></div>
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<b>CURRICULUM</b></div>
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Four-Week Sessions</div>
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An immersive learning experience unlike anything else, our four-week sessions allow you to focus on developing new methodological tools while building a community of friends, collaborators, mentors, and future colleagues. Our four-week courses cover introductory, intermediary, and advanced instruction in almost every area of methodology. Our four-week sessions also feature supplemental lectures and talks on important professional topics, such as data reproducibility, research transparency, and methodological issues related to the study of race, ethnicity, and gender. Our four-week sessions take place in Ann Arbor, Michigan; in 2018, the First Session runs from<span> </span><span class="aBn" data-term="goog_632558668" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 25 to July 20</span></span>, and the Second Session runs from<span> </span><span class="aBn" data-term="goog_632558669" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">July 23 to August 17</span></span>.</div>
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Short Workshops</div>
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For those wanting to learn a specific methodological technique in just a few days, the ICPSR Summer Program will offer more than 40 short workshops from May through August in Ann Arbor, Michigan, and other cities around the world. The 2018 short workshop schedule includes a wide range of courses, from introductory-level material to advanced, cutting-edge statistical techniques, as well as workshops on strategies for reproducing research results, machine learning, qualitative research methods, and the R statistical computing environment.</div>
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<b>SCHOLARSHIPS</b></div>
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ICPSR scholarships provide a registration fee waiver for the Summer Program’s four-week sessions. The application deadline for all 2018 ICPSR scholarships is<span> </span><span class="aBn" data-term="goog_632558670" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">Saturday, March 31, 2018</span></span>.</div>
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<b>QUESTIONS?</b></div>
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Contact the ICPSR Summer Program at<span> </span><a href="mailto:sumprog@icpsr.umich.edu" style="color: #1155cc;" target="_blank">sumprog@icpsr.umich.edu</a><span> </span>or<span> </span><a href="tel:(734)%20763-7400" style="color: #1155cc;" target="_blank" value="+17347637400">(734) 763-7400</a>.</div>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-6491497232112777532018-02-05T10:00:00.000-05:002018-02-05T10:00:15.831-05:002017 The State of Data Science & Machine LearningKaggle has released its industry-wide survey of the state of data science and machine learning. <a href="https://www.kaggle.com/surveys/2017">Check out their report and download the data</a>.<br />
<br /><br />
Some takeaways:<br />
<br />
<ol>
<li>While Python may be the most commonly used tool overall, more Statisticians report using R.
</li>
<li>On average, data scientists are around 30 years old, but this value varies between countries. For instance, the average respondent from India was about 9 years younger than the average respondent from Australia.
</li>
<li>The highest percentage of our respondents obtained a Master’s degree, but those in the highest salary ranges ($150K+) are slightly more likely to have a doctoral degree.</li>
</ol>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-25664517609395572682018-01-23T10:14:00.001-05:002018-01-23T10:14:19.022-05:00IPUMS data training opportunities and more<div style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
If you are a current user of IPUMS data, you can submit your paper to win an award! </div>
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<strong>IPUMS RESEARCH AWARDS</strong></div>
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We are pleased to announce the <strong>10th annual IPUMS Research Awards competition</strong>. We are looking for papers that use innovative approaches, comparative analyses, and multiple IPUMS datasets. In short, we are looking for papers that use the data to its full potential.</div>
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The <strong>IPUMS Spatial</strong> award, for work using NHGIS or IPUMS Terra, is new this year, joining awards for best papers using IPUMS USA or CPS, International or NAPP, and the National Health Interview Series data from IPUMS Health Surveys. Cash prizes will be awarded for best published work and best graduate student work (published or unpublished) in the four categories, for a total of 8 awards.</div>
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Deadline for submission is <strong><span class="aBn" data-term="goog_1628333349" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">March 1, 2018</span></span></strong>. For more information on eligibility and the submission process, visit the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D8f08b16faf%26e%3D4c7b360f5c&source=gmail&ust=1516735380240000&usg=AFQjCNFq0OIHqnlZQcEIrJzVaCEVETxRjg" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=8f08b16faf&e=4c7b360f5c" style="color: #336699; font-weight: normal; text-decoration: underline;" target="_blank">IPUMS Research Awards page</a>.<br />
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<strong>TIME USE CONFERENCE</strong><br />
<br />
<strong>Conference on Time Use Across the Lifecourse</strong>, <span class="aBn" data-term="goog_1628333350" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 19-20 2018</span></span>, University of Maryland College Park<br />
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Researchers are invited to submit abstracts for papers that address the collection or analysis of time use data on topics ranging from intergenerational caregiving and time transfers, policy & environmental influences on time use, time use & health, time use & inequality.<br />
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The deadline for submission is <strong><span class="aBn" data-term="goog_1628333351" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">February 9, 2018</span></span></strong>. Authors will be notified by <span class="aBn" data-term="goog_1628333352" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">March 30, 2018</span></span>.<br />
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Abstracts should be submitted by email to: <a href="mailto:timeuse-2018@umd.edu" style="color: #336699; font-weight: normal; text-decoration: underline;" target="_blank">timeuse-2018@umd.edu</a><br />
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Additional information about the conference can be found at <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Dcb39627ff6%26e%3D4c7b360f5c&source=gmail&ust=1516735380240000&usg=AFQjCNFa5CArQ_1Fx-XR_PbHlZNAyvavwA" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=cb39627ff6&e=4c7b360f5c" style="color: #336699; font-weight: normal; text-decoration: underline;" target="_blank">Time Use Across the Lifecourse Conference</a>.<br />
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<strong>CPS WORKSHOP</strong><br />
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IPUMS is accepting applications for the <strong>IPUMS CPS Summer Data Workshop</strong>. The workshop will familiarize researchers with the under-utilized panel component of the Current Population Survey (CPS). The CPS is an ongoing labor force survey in the U.S. Data are available annually back to 1962 with monthly data available since 1976. The 2018 IPUMS CPS Workshop is targeted toward graduate students, postdoctoral fellows and early-career faculty from social science disciplines. The workshop will include presentations from the research team that developed IPUMS CPS and other experienced CPS researchers, lab sessions that provide hands-on experience with using the CPS as a longitudinal dataset, and small-group sessions where participants will discuss their own CPS research ideas with others who have similar interests.<br />
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Applications are due <strong><span class="aBn" data-term="goog_1628333353" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">March 2, 2018</span></span></strong>. For more details, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Dd5ee053466%26e%3D4c7b360f5c&source=gmail&ust=1516735380240000&usg=AFQjCNGxc1mkNsHugKPPW1n9XyljX4WJ5g" href="https://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=d5ee053466&e=4c7b360f5c" style="color: #336699; font-weight: normal; text-decoration: underline;" target="_blank">cps.ipums.org/workshops</a>.<wbr></wbr> </div>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-22363309085853872172018-01-10T11:44:00.000-05:002018-01-10T11:44:51.992-05:00An Overview of the 2018 ICPSR Summer Program<div style="-webkit-text-stroke-width: 0px; background-color: white; color: #010101; font-size: 16px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; margin: 10px 0px 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
<span style="font-family: Arial, Helvetica, sans-serif;">Join ICPSR for a webinar on <span class="aBn" data-term="goog_1595752470" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">Jan 29, 2018 at 2:00 PM EST</span></span>.</span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">The ICPSR Summer Program provides rigorous, hands-on training in statistical techniques and quantitative research methodologies used in the social, behavioral, and medical sciences. We strive to fulfill the needs of researchers throughout their careers by offering a broad curriculum that ranges from introductory statistics and data analysis to advanced methods and cutting-edge techniques. </span></div>
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<span style="font-family: Arial, Helvetica, sans-serif;">From May through August 2018, we will offer more than 80 courses in cities across the U.S. We will announce our 2018 schedule in January, and registration for all courses will open in early February. </span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;">This webinar will: </span><br />
<ul>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Introduce the ICPSR Summer Program </span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Discuss our 2018 courses </span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Explain the registration process </span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Explore ICPSR scholarships and other funding opportunities </span></li>
<li><span style="font-family: Arial, Helvetica, sans-serif;">Address your FAQs </span></li>
</ul>
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;">The webinar is free and open to the public. Please share this invitation.</span><br />
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-57479625457463800712017-08-10T14:23:00.002-04:002017-08-10T14:23:25.555-04:00New Data Releases from IPUMS<a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D121444b6cf%26e%3D4c7b360f5c&source=gmail&ust=1502475588569000&usg=AFQjCNG-XeQWVJjipxkBJjXw4Ps2vNX46w" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=121444b6cf&e=4c7b360f5c" style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #336699; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: underline; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">IPUMS Health Surveys</a><span style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; display: inline !important; float: none; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span> </span>released the 2016 National Health Interview Survey (NHIS) data, including supplemental variables on hepatitis, diabetes, chronic pain, food security, child mental health, heart disease and stroke prevention, tobacco, internet and email usage, and disability. This release also includes 600 variables from the 2015 NHIS cancer supplement.</span><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Dfdc9149365%26e%3D4c7b360f5c&source=gmail&ust=1502475588569000&usg=AFQjCNHcuunSzgvyCn50rSzMmuGC3thXuA" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=fdc9149365&e=4c7b360f5c" style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #336699; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: underline; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">IPUMS Time Use</a><span style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; display: inline !important; float: none; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"> released the 2016 American Time Use Survey (ATUS) data through<span> </span></span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D28c59b4957%26e%3D4c7b360f5c&source=gmail&ust=1502475588569000&usg=AFQjCNEXTJo5cHIrQq852p_IiLgHyClljA" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=28c59b4957&e=4c7b360f5c" style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #336699; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: underline; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">ATUS-X</a><span style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; display: inline !important; float: none; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">. </span><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3D9326ae5daa%26e%3D4c7b360f5c&source=gmail&ust=1502475588569000&usg=AFQjCNG6Out0d79eAOP5bpcswsMFzga2pw" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=9326ae5daa&e=4c7b360f5c" style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #336699; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: underline; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">IPUMS CPS</a><span style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; display: inline !important; float: none; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"> released new basic monthly data along with variables from the fertility, education, and voter supplements.</span><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><br style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" /><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Dba5c056d57%26e%3D4c7b360f5c&source=gmail&ust=1502475588569000&usg=AFQjCNEqo3axk_GtiiQZLlpnrR5Ss9JzUA" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=ba5c056d57&e=4c7b360f5c" style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #336699; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: underline; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">IPUMS USA</a><span style="-webkit-text-stroke-width: 0px; background-color: #fdfdfd; color: #505050; display: inline !important; float: none; font-family: Arial; font-size: 12px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"> released full count 1910 data, source variables for all modern data, new family interrelationship variables that identify same-sex and cohabiting partners, and several other improvements to the data. ACS editing procedures are also available now.</span>Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-3692751392460700392017-07-27T14:12:00.001-04:002017-07-27T14:12:28.538-04:00UNCG's Inter-university Consortium for Political and Social Research (ICPSR) Usage Report <div style="border-image: none;">
<br /></div>
<div style="border-image: none;">
<a href="https://www.blogger.com/" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><a href="https://www.blogger.com/" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"></a><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">ICPSR is the leading national archive
for data in the social sciences, education, health and other fields. The
consortium also provides data-related training including the <a href="https://www.icpsr.umich.edu/icpsrweb/sumprog/"><span style="color: #0563c1;">Summer Program in
Quantitative Methods of Social Research</span></a> and online learning modules, such
as the <a href="https://www.icpsr.umich.edu/icpsrweb/content/instructors/exercises.html"><span style="color: #0563c1;">Data-Driven
Learning Guides</span></a>.<span style="mso-spacerun: yes;"> </span>UNCG is a member of
the consortium and currently the University Libraries and the Office of
Research and Economic Development split our membership fees with each paying
every other year. Since 2007 University Libraries’ Data Services Librarian
position has assumed the responsibilities of the Official Representative, a
position that participates in the governance of ICPSR and is the main contact
for the archive. This report provides information on the most recent activities
related to the archive and usage statistics for the years that data were
available.</span></div>
<div style="border-image: none;">
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<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Outreach and Promotions</span></b></div>
<div style="border-image: none;">
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<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">The primary formats for outreach have
been presentations to appropriate departments and library research guides
integrating ICPSR resources. Data-related presentations that incorporate ICPSR have
been give forty-three times over the past three academic years. Sixteen of
these presentations were integrated into specific classes in various
departments (ENT, GEO, PSC, LIS, SOC, etc.), thirteen were specifically on
ICPSR data and resources, and fourteen focused on research data management that
included ICPSR materials. Fifteen were in 2014-15 AY, thirteen in 2015-16 AY,
and fifteen in 2016-17 AY. ICPSR has also been well-integrated into the library
research guide for data services, the research data management guide, and other
library guides. </span></div>
<div style="border-image: none;">
<br /></div>
<div style="line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Overall Usage</span></b></div>
<br /><br />
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">From 2014-2015 to 2016-2017, there were
122 total uses of ICPSR. This number does not include the number of students
and faculty registered to use or browsing ICPSR’s website. Moreover, this
number does not reflect the high number of datasets downloaded per user or the
duration of use for each download. One faculty member may download all data
files for a particular dataset and use those files multiple times for several
scholarly products. While the total use number may be low in comparison to
other electronic resources at the library, its impact on research is high. </span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">The table below shows usage from July 1, 2016 to June 30, 2017.</span><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"> Data
studies include all information collected by a principal investigator. Each
study can have one or more dataset within it. Datasets are collections of data
records that contain multiple data files. Examples of data files would include
ASCII files, setup files, and documentation. Members-only data are the studies
available to consortium members. These studies would cost $500 per dataset to
access as non-members, which would total to $46,500 for UNCG’s users based on
the 93 uses of member-only datasets last year.</span></div>
<br /><br />
<table border="1" cellpadding="0" cellspacing="0" style="margin: auto auto auto 7.5pt; mso-cellspacing: 0in; mso-padding-alt: 3.75pt 3.75pt 3.75pt 3.75pt; mso-yfti-tbllook: 1184; width: 0px;">
<tbody>
<tr style="mso-yfti-firstrow: yes; mso-yfti-irow: 0;">
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;"></td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Unique</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Total</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Members-Only</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Size in GB</span></b></div>
</td>
</tr>
<tr style="mso-yfti-irow: 1;">
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Files</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">1269</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">2499</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">565</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">29.523</span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 2;">
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Datasets</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">357</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">445</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">93</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">-</span></div>
</td>
</tr>
<tr style="mso-yfti-irow: 3; mso-yfti-lastrow: yes;">
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div align="center" style="line-height: 115%; margin: 0in 0in 0pt; text-align: center;">
<b><span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">Studies</span></b></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">112</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">176</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">57</span></div>
</td>
<td style="background-color: transparent; border-image: none; border: rgb(0, 0, 0); padding: 3.75pt;">
<div style="line-height: 115%; margin: 0in 0in 0pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-fareast-font-family: "Times New Roman";">-</span></div>
</td>
</tr>
</tbody></table>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">Presentations and outreach to potential
users have proven successful this past year. For example, after the first
instruction session in Psychology on ICPSR was held in May 2016, the number of
Psychology faculty and students using ICPSR increased from 1 per year to 8 in
2016-2017 and. The chart below shows usage by those departments that historically
have been primary users of ICPSR data. It demonstrates that ICPSR has wide
appeal across schools. Nevertheless, there are still areas for growth such as
with Geography, Education, and other departments and schools not represented.</span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-no-proof: yes;"><img border="0" height="186" 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vGU1Kak92QuQp8hDpukbSUyKE0FUrMn3bVO7F5++WUDY2k+kDWS9Ko4RuI4iyMmzQbCpyaYyr9J2ljGIY65OGVSK3e1SX2bYChpVelAFgdRxv2f//zHcCJlHfvSVevEWGrQZD+IUy8UNlLTJx2oYuKIiuMmjqfTcRbn91rNIBKd+8tf/mI0VTg7UyUCKWlVGbczhX45/6H8uzhsMjcZg+Atqdq77rqrN9tGP6MIKAI3QUCdON0iisAAIiARF3nIycNeCvPFJPUkP+IIfPKTn7z0gJWHrzhw8pD87ne/eylSI5ErOVaiJU4T50UcOimI/9e//mVEduQ6kvISGg5xNCQqIs6IPMidaU5n5MT5wJfPyfmvricTJ0ge0uJsybiFZkSiTg8++KBxrERjLv+MXFt+Jw7C5SlB+bv83lm7JvVfMj9xJv7f//t/l5wtcaYkIilOnJg4CZd/Tn4nY5bausvTtOLoioMmdWvSVCCNB9IkcXU3pzhkEv0Tx1kaDOQYmaOcS8YozqR0hjpT1pIuFIoRSfM6a93EURP6FTGJlorDJs6n1H05HU9x8qTh4lomzqA0BEgDyH//+1/DkROsnJx7Epl0RhMvx/NG2/NauIuzKOdycsJ961vfujQ+wdnpwDkxlvlfywQbcYzF6XWmuZ31iLLHnM0uzjEIxs59JVjJ/pNmENn7EsG7Fs/dAH719NSKwLBAQJ24YbHMOsmhQkCcCWk6kIez0/kQB0seahKBu5ycVxwIKfaXyIVEMZwNCJIOk0iGMwonc5EHr6RIpXZJHCxxkuShKQ9Wp0MhERiJsEhNl1xbjpeInDgezsiLFNFLrde16pZuueUWo/ZL6prEnHJNEtESh+tyYlsZu0TW5HfO68v45TPOmj45h0TJxOkRlQHhpHPOUVKAUnflpMmQiJRcwxlBks9KBFGch8vF4OXcjz76qJHulKYIGdv1KC2kU1I6WcWxFedEziO4idMj1768EUGcSXFSnalXiS4Jtk7KDsFNnFBpSJCInJxLjpdrOEmdr95zMjfpPBVnztkAIA6QzEnq0C6/vqR+JTIouNzI5DjZX4L75dFHWTv5vdSvSUpV/k2cNjmfjEEcU3GAZR9dr4tV5vSJT3zCwFYiyc7aN2moka5Vp1Mm0V9Ze1mLy6O84vBKFFkwlii0OnFDdRfS63oyAurEefLq6tyGHAEnPUV3ByLOkERKLq+zutZnJYIjD1mJbMnPtUweqlK/dSMT50V+evJ5IfSVn8tNHuJCiXG5OWlLrj63OB7ilN4oxSY8a1ebOE4SobzaxLGSaFN3TJwxURW4mcm1pCvzRibnkohXT9QIxJmSiOvNaDfEIZefm5mkOS8n4b38eHH+hXfvevbxj3/8Zqc30svf/va3b3icOIZXr718QD4rEU81RUARGDgE1IkbOGz1zIrAgCAg0RuJbvQHpcaADFBPqggoAoqAIjAoCLzDiZOQu3QUSWhf0i9Xm2jmSYpFUgs36gYblNHrRRSBYYiAk27k8vTqMIRBp6wIKAKKwLBH4AonTjrXhN9HCnalTuZqJ07qSKTIWdIkku5RJ27Y7x8FYAgQEEUEaXJQJ24IwNdLKgKKgCLgQghc4cRJsevKlSuN4ldp97/cpINKCq6lYFYKo7tDrOlC89ShKAIeg4A4b+rAecxy6kQUAUVAEeg1Alc4cdLVJT+ieXi1kyadZFLIKx1jIoaspggoAoqAIqAIKAKKgCIwdAhcs7HhagdO2uyFh+ljH/uYUQ8nrebXIoe83jSkjV0IMNUUAUVAEVAEFAFFQBFQBC4iIFyUV0vx9QSbbnWnShpV+H6EX0l4poQZXogwhbiyO+zvUjt3Od9TTwaoxyoCioAioAgoAoqAIuCJCFxPVrG7c72mEydcRk5RZzmRNDgI8aRQGghpozhxQjJ6PU3Fqy9+uWB1dwemxykCioAioAgoAoqAIqAIXB+BK5w4cdBEIkWibsLQLdIwwiwvxJdOZnmpmZOaOJHk6a4TpwugCCgCioAioAgoAoqAItC/CFzhxAn/lDCJi+MmkTjpSL1cFkgu7WQ8V3qR/l0IPZsioAgoAoqAIqAIKAI9QeAKJ07q20Sz8EYmTQ1SiKemCCgCioAioAgoAoqAIjB0CHSrsWHohqdXVgQUAUVAEVAEFAFFQBG4FgLqxOm+UAQUAUVAEVAEFAFFwA0RUCfODRdNh6wIKAKKgCKgCCgCioA6cboHFAFFQBFQBBQBRUARcEME1Ilzw0XTISsCioAioAgoAoqAIqBOnO4BRUARUAQUAUVAEVAE3BABdeLccNF0yIqAIqAIKAKKgCKgCKgTp3tAEVAEFAFFQBFQBBQBN0RAnTg3XDQdsiKgCCgCioAioAgoAurE6R5QBBQBRUARUAQUAY9GoL2hGtVlxei0OxAY4I/g+FSPmK86cR6xjDoJRUARUAQUAUVAEbgWApUXMnHo0BHU1DfC0eWAt82GtJRcTJq7GGaLza1BUyfOrZdPB68IKAKKgCKgCCgC10OgsaIIe/fuR1WbCVbvQJh4YHNXF46dzYWXzYpxMxcAZvd1hdx35LpnFQFFQBFQBBQBRUARuAEC+efPoqbFDi9vXx7VZRxppSfX6e2H87kXkD5lFmze7usKue/IddsqAoqAIqAIKAKKgCJwAwSa2h1vuW4XHTinmfnbFpMvHDC7NX7qxLn18ungFQFFQBFQBBQBReB6CPix5M1Eh01cOEmlOs3Bv/l0tcLM1Ko7mzpx7rx6OnZFQBFQBBQBRUARuC4CI1LH4HxhMRoddNYcdOPkDzpw9rYmjExNhdXLy63RUyfOrZdPB68IKAKKgCKgCCgC10MgKCoBI6PHYufuEwhJ9UNHWwe87G0YnToCoydPh8lscWvw1Ilz6+XTwSsCioAioAgoAorAjRAoOW3FmScdCEloxj1fnICkcXEIi451665U53zVidO9rwgoAoqAIqAIKAIeiUAnI28nNp9FS70NsQ2NGDMuGb6x0R4zV3XiPGYpdSKKgCKgCCgCioAicDkCBacrUJTbyiq4NoxfGg/fmBCPAkidOI9aTp2MIqAIKAKKgCKgCDgROLk5B421nQgKaMe4WcFsUfX2KHDUifOo5dTJKAKKgCKgCCgCioAg0NLQhnNHquGwdyFmhBeS54zyOGDUifO4JdUJKQKKgCKgCCgCikBhRiUunKqAxWbB+CmALSLO40BRJ87jllQnpAgoAoqAIqAIKAKnthWgpRkI9GnE2CWTCIh7qzNca0XVidN9rggoAoqAIqAIKAIehUB7cycydhWQ2NeCxMR2xE9K8Kj5OSejTpxHLqtOShFQBBQBRUARGL4IZO0vQnl+C6yU1ho1LQxeseSF80BTJ84DF1WnpAgoAoqAIqAIDGcEzuwqYldqG8KC2jFhdjih8PdIOHrkxLW1tcFqtcJicW+ZCo9cSZ2UIqAIKAKKgCKgCKChqgXZB0pgoq8SH9+G2JkTPRaVdzhxpaWl+Pvf/4709HTcd999xsQbGxvx2muvoaqqCk1NTZg7dy4WLFjgsaDoxBQBRUARUAQUAUXAPRHIO1GBknO1DDiZMWGSA9bYRPecSDdGfYUTV1xcjGeffRa1tbWoqKi49HGJwI0ePRoTJ05EZmYm/vGPfxhOXnS050hXdAMrPUQRUAQUAUVAEVAEXByB45vy0N5pQZhPJdLnp3K0vi4+4t4P7wonLiQkBB/84Adx4MABZGdnXzpreHg45EdMnLng4GDU1dWpE9d73PWTioAioAgoAoqAItDPCEgq9fyRMjgcJiTGNyNhsnSlmvr5Kq5zuiucOD8/P2NkEnm7nmVkZKCrq6tHDpzD4UBnZ6frzFpHoggoAoqAIqAIKAIeg4DJREeN/z+9Ix8V+Y3wtrRj9CQzHNGp6Gxvd9l5So9BX/oMetTYUF9fj+effx4rVqwwonHdNXHgJEWrpggoAoqAIqAIKAKKQH8j4HTiTmxnKrW1C5EhLRg5KQC1rVY42l3X//D394f89Nau6cQZYFxlHR0dRi3c+PHje9zU4OXlhaioqN6OUT+nCCgCioAioAgoAorADRGoLWtGwYkadFltSI4px4h5t8MaEurRqF3hxEmaVFKf7Qw9yo/dbofZbDb+WzpWxRm76667jGPE5N/UFAFFQBFQBBQBRUARGGoEMvcUoqqkGV5kQRszjl2pSelDPaQBv/4VTpzQi6xfvx7V1dVobW01Im+33347JApXWFiIuLg4/Otf/zL+PmPGDONHTRFQBBQBRUARUAQUgaFG4OTWAvonFsQGFCF9djxgudiQ6cl2hRMnlCHve9/7DEJfSamKs2az2Yz5P/bYY0ZzgkThJGInx6gpAoqAIqAIKAKKgCIw1AiU59XhwskK+i5AclwtoidN45A8tyvVifcVnpikRyVl6rTL/1t+p47bUG9Tvb4ioAgoAoqAIqAIXI1A1v4SVBayK9XahfET22EaMWVYgKThtGGxzDpJRUARUAQUAUXAMxFw2B2kFimE3SGp1DIkT2Azg1+MZ072qlmpEzcsllknqQgoAoqAIqAIeCYCkkoVgl+T1Rsjo4sQMW2VZ070GrNSJ27YLLVOVBFQBBQBRUAR8DwETm0rREN1O/y87Bg9qgWWlMmeN8nrzEiduGGz1DpRRUARUAQUAUXAsxDo7LDj7N4iNmKaEBtYgtTpTKP6sTN1mJg6ccNkoXWaioAioAgoAoqApyFQfLYGF05VwkJyuPS4IoSOXcQpkihumJg6ccNkoXWaioAioAgoAoqApyGQyShcXXkLvP3MGDOqGeaRMz1tijecjzpxw2q5dbKKgCKgCCgCioBnIODodODUtgI4LD6IDcrDiDHsSg1J84zJdXMW6sR1Eyg9TBFQBBQBRUARUARcB4E8kvsWMZ1qtpgxMuICwqfM5+A8n+D38hVQJ8519qOORBFQBBQBRUARUAS6iYBE4RpqOxDgz67UkbUwJc/q5ic95zB14jxnLXUmioAioAgoAorAsECgtbEd5w6WootNDFG++UieGAGE3jiV6ugCCYG7YLN4TrROnbhhsd11koqAIqAIKAKKgOcgUHCm6q2uVC+MiT2PgDQ2NFi8rznBDnsXtmbW4PCFBrR0OJAU5oPl40KRHO7j9oCoE+f2S6gTUAQUAUVAEVAEhhcCkkptbXYgMKAJackNsI6Werh3mkTe/rOvFK8cr4TJZIKZQbgThQ04mFePL64agfRoP7cGTp04t14+HbwioAgoAoqAIjC8EGhr6UTG7iLYTV6ID85GQpovEDXxmiAcL2jExtPV8LKaYRUPjubN/y6tb8eLRyvoyCXC8tbv3RFFdeLccdV0zIqAIqAIKAKKwDBFIPtACcqZGvXyYldqeDaCJ8wAzF7XRCOztBntTKf62MxX/LsPHblz5JdraXcgwMd9yYHViRumXwKdtiKgCCgCioAi4I4ISBSuqa4doWEOjE4sZ1fqnOtO43pRNvY4GBE4Zljd2tSJc+vl08ErAoqAIqAIKALDB4GmmlZk7S2GyeaNhIDTiElnV2rMhOsCMD7OH4HeFrTZHbC85bF10YNrZYPDuFh/+FKuy51NnTh3Xj0duyKgCCgCioAiMIwQyDlWjpLztbDYfDA65jwCU8ezyC34ughMiPfHjJRAbDtbhy5zl+G8SfAtJcIHd06NNBod3NnUiXPn1dOxKwKKgCKgCCgCwwiBE1vy0d5uRnhoLZJjq2FJF8H761sn6+GqGztg55+RATZ2o/oiJsgbK8eFITLQ5vbIqRPn9kuoE1AEFAFFQBFQBDwfgbrKZpw7RIJfkxUjggsRl8Jmhng2NdzAjrI7NaOkmaTAXVg9IQx3TYn0KKDUifOo5dTJKAKKgCKgCCgCnolA1l52peaxK9XHhlERGfBNpwPnE3TdyXawDk7oRRrb7Eyf+mJReqjHAaNOnMctqU5IEVAEFAFFQBHwPAQy9xSirdWBqMgGjIwphSXlYzec5InCRpzkj/DDLR0dgjB/z3N5PG9GnrdvdUaKgCKgCCgCisCwRqCmpAln95XA5O2LlJDTiEwKgSl+yg0x2ZpZi+YOO+JDvDE/7frND+4MrDpx7rx6OnZFQBFQBBQBRWAYIJC5twg1pS3wttmQGpELv8RUICj2ujM/U9wEUWsgExzmpgYjKujaZMDuDp06ce6+gjp+RUARUAQUAUXAwxE4vb2AXakmxAbVYmR0CZD+/uvOWPRSpRautsWO2BCb0YnqqaZOnKeurM5LEVAEFAFFQBHwAATKcuqQe7wCZqsFiWH5iIixwJQ4+7ozO1/RisOU5TKZujCfUbjYYM+MwgkA6sR5wAbXKSgCioAioAgoAp6KQPbBYlQVNcLm64uxkSfhlTIV5uCY605329ka1LfaEeZnw4L0EE+FxZiXOnEevbw6OUVAEVAEFAFFwI0RoETWqW2FcHRZERFYhYTQMphT3g2YrhS0d84wt7IV+3PqyQoHzEwJQmqkrxtP/uZDVyfu5hjpEYqAIqAIKAKKgCIwBAiU5tQil1JbXRZvpIaeR0S8D0xJ1xe8fzOjBhVUaAglncgakvt6ul3TiTt48CB8GbacMOFtUdm2tjZs27YNTU1NSE9Px8SJEz0dG52fIqAIKAKKgCKgCAwhAqe25aO+qg3+vhakhp+HLTYNlqj0a46opK4dB1g/10WF+6kjAjw+CicgXOHENTY2Yt26dXjjjTcwZ86cS05ca2srnnjiCURERCAuLg6vvPIKWlpaMGvWrCFcWr30QCFQ09yJPedqUVDTjmBfK6YnBWBUtN9AXU7PqwgoAoqAIqAIvAOBTnK8nd1XjI5OM+ICa5ESeQEYee91kdqaeTEKF+RjwbIxnqfOcK2Jv8OJGzFiBO6++25UVFRcOv748eNGBO7hhx82ftfe3m5E5aZOnQobOVvUPAeBoto2/GZLEc6WNsFsMhl1BW+crMIH5sVg2djh8aXwnNXUmSgCioAi4L4IFGfVMJVaAYu3DWmR5xEQ4gVL6txrTqiUUbid2bVwkF5kamIgJsYHuO/EezDyK5y4mJgYyM/69esJhOPSaS5cuGD83mmJiYnYsmULGhoaEBbm+TnnHuDp1ody7+OpA2UQksQAvsmY3ppNU7sdTx4sQxqjcYlh3m49Rx28IqAIKAKKgHsgkLW/BA01bfAJ8EZ66Bl4J46HJTLlmoPfda4OxbXtfHaxFm5SBOlF3GOOfR3lNWviLnfg5AIShQsIeNurNb2FztXHXW8wErmrq6vr61j18wOIgIWNPqX1dmRS2sTXy3zJgZNLelvNqGq049C5MgSn+YI+nZoioAgoAoqAIjAgCJiodero7MLRDTnoMnsjLrgU8exKbQpbibr6dqCz/tJ1eSga+Ktd2TXsWDVhZJgFYeZGVFY2sTZuQIbXryf19/eHn1/vy5W61Z0qF7Hb335yO//bYrF0azJWqxVBQUHdOlYPGhoE5KXFu6MddkftFQ6cjEZ8djsjsxarN/wCguDjBl+MoUFRr6oIKAKKgCLQZwT4zMk5Uo5SNimYLFakhOciJILZoTFLYPL3AbreJu+10IvberQSF9j84MuAw5qJUYgM9SMlSZ9HMSgn6K4fdb3BXNOJ8/LygjheTpNmhh07dlz6+9mzZ400anBw9wRlzWYzvL01DTcoO6IPF4kNsyEpwgenSKooXwyniYSJNDikxQTA5qXr2AeI9aOKgCKgCCgC3UAg52AFGqo7EBhsx6ioLHSFpsA3ZRpgubIOv47SWnvymhlo6MLYWH/MTg2BzTJMcqnE8Qonrrq6GkIvcvToUVRVVWHDhg2YMWMGpk+fjlOnTuEvf/kLoqOjkZ2djXvuuQfinKl5DgJ+TKOmRfnieH4D7OYu40thZZ5V/lyQHsQvSO9Dvp6Dks5EEVAEFAFFYCARaGWH6VkK3neZrIgJLkN8UBHMIz/6DgdOxnAwrx55lS3wYhRuyZjh5cDJ/K9w4pxpzxUrVhgOmnDDSahPOOM+9KEP4dixY0Zn6nve8x7DmVPzLASq+MU5SgfOzCicr5cFIYy+VTa2o60DxpuNdKuqKQKKgCKgCCgCA4lAYSbTo6cqYfbyIb3VOfogdFZS573jkq0dDmw+U41OO6NwcX6kwwocyGG55LmvcOKkbm3u3Gu370o6dPbs6wvOuuTsdFA9QuBF1hWcL2+BlU7cgzMisXJ8GP68owTrT1ZiH2VMhHdHInVqioAioAgoAorAQCFwcmsBWlu6EBjUjJTgbFhjR8ESN+Ydl9vNjtRsPrMkCrecFFgB3t2r0x+ocQ/FebvV2DAUA9NrDi4CxwoaIaLBUgw6NTEAy8eFGZG31ZQt2Xu+DpUNHdjOf1cnbnDXRa+mCCgCisBwQqCV2Z+MXUWwd9kQH5KPOKZSu+KXweQbcgUMEoXbymdSW6cDo2P8sDCtezX6noalOnGetqK9mE9zuwNPkweuodWO8AArHpgVbUTjxBLDfDCFTt2WjFocyGvA2kntiA1+uzOoF5fTjygCioAioAgoAtdE4ByfRWWsc/NiVC01Ihe+gVYS/M5/x7EnChtxruxi5mhheohRAjQcTZ244bjqV8351ROVVGhoYUcqsHZiOJmx306Zii+3YmwYDtGBE0bsN1l/8L65bxM/K3yKgCKgCCgCikB/IZC5pwjN9R0ICbMjPfIcEBgPW8r0K04vzXYbTlVDiOhH8nm1MH14RuEEFHXi+mvnuel5zrGeYP2JKnSSB24SZUrEibvaxsf5GynW7Vm1JFSswwqmWjUa56YLrsNWBBQBRcBFEWisbkUmu1JNNh/SXeUg0q8E5pQHmEq90kk7fKEBp6gsZGOUYcnoEIT5D1/5T3XiXHQzD8awOtjR8+SBUtS2dBo8cA/MjILfNULS0pQquqkHJRpHtuw9rJG7d1rkYAxRr6EIKAKKgCIwTBDIOcpUam49qeB8mBFiKtW7g6nUBVfMXuq2dzKg0MwoXEKoNxalD29Nb3XihsmX41rTlNTocTY0iC1n5+mkhOsLBk+IC8AERuQO8AsmDQ5yfIifbp9hvH106oqAIqAI9CsCJ7bko7XNhMiweqSEMpUaNhLWEROvuEZmaROO8rklVFjz2cwgddzD2Yb37IfxyhdSVPilY5Xk14FRU3DHlBtH1oQnTihHTjOEXcDPbj1bi7unRgxjBHXqioAioAgoAv2FQC2ds/OHS6nzaDZ0UqP9i9EVcyfMIXGXLtFFMdQ3TlajntmjeEbhhFZkuJs6ccNwB4go8PNHKozUqI/NjPumR7Km4OZbYQaJFMewlfsQ6xEknL2U7NhCCKymCCgCioAioAj0BQHRSi2/IF2p3nzOZMHqZYUt7UqCX+GEO1bQYOh5zxkZxNpslYHUJ3Bfdp2bfnY3a9r2nKs1Ri/h6Nn8MnTHRE91MYtITxY14QILUA+zDXw5O1fVFAFFQBFQBBSBXiPAwMKpHQXoaDchIqKJgvd5gG8oVRquFBjYxgxQbbNQYdmwaFRIry/nSR9UJ86TVrMbc6mktNZzh8oppeVAbIg37p8RdYXY/c1OMSs5iDIoNYYjt/F0DeZSbFg0V9UUAUVAEVAEFIHeIFBb3oSsfUyfWn2RSlqRUO8ymEashuWyVGpeZatBPA9G4WanBCElQtWDBGt14nqz49z4M+uOVlAsuNUQtr+HHaYxPSTu9SMB44pxoZQ6aYbQk+zOrjVq5dQUAUVAEVAEFIHeICAKDbXlrfAmO8LIiHx4W9ooeE8JUPPbBL5vnK5GVVMHwkknspI0V2oXEVAnbhjtBBG3F5kSeZMRoeAlo3tXFDovNRivHq9CdlkzdvHNSFKsol2npggoAoqAIqAI9AQBaVY4s7MQra1diIupR2p4NjoDRsAvZcal0xTXteEoa7Hl4TUh3h+pquF9CRt14nqy29z4WJHUeoZp1MZWh9GS/RCltaTjtDcmzRDS1JBb2YLMkiYcvtDItGr36up6cz39jCKgCCgCioBnIlCeW4ecY+XkhrMiObwQwd5VMEUtgiU67dKEt1L2sYyNeIHMBK0e/05Ces9EpnuzUieuezi5/VGvn6yitFazIa11y4QI1hP49GlOolW3JbOWKdVmbDhdZUT2vKy9cwr7NBD9sCKgCCgCioDbInD+cBmqqINq8/NlV2o2M6hdsKXOJdPIxVSqyD3uYNmOkPxO43NmbKyf2851IAauTtxAoOpi55S05+vUmRO9ufEMRd82qe9vMkL0K3p1eUY0rplt342YlRLoYjPX4SgCioAioAi4KgKSSj2++QIcJhuigqowIqQY8AqENf1tlYZtLAEqoyMX4GM2eOGEJUHtbQTUifPw3SDSWs8cLEc1C0KDfG14cEY0fPupm3QBo3GbqPogxME7smoYjQvQL5iH7yedniKgCCgC/YVAaU4d8o5XsIHBCymRRexKLYUjZiEskcnGJWqaO7Evpx52OntjYvwxkUEItSsRUCfOw3fEmxk1hkSJkCMuZQPC5BHXl9bqKRRRgRe5ep46UI4jbJoQNYcbSXf19Px6vCKgCCgCioDnInB6Wz7qq9vg62OhVmoOYO+ANWUWTLaL9CE7SCqfX9Vm0FitmRCmQYJrbAV14jz3+4HiWkprkVKk3e4g944vZbL6X7R+GTVU5Ysm0bgNbAGXziGzeIxqioAioAgoAorAdRDoaLPj7L4SdHSYEB/dgJSwXNh9o+E98mJXakNrJ7ax7rrD4cDU+CBM6ccAhCctijpxnrSal82FNaBGN6oUhfqRe+cBkvqGdkNaq6dwRAd5YQYJgItrK3GKBMDnyR2XHq2Fpz3FUY9XBBQBRWA4IVByrgY5R8tgocxWWuRJ+FrqYQqbCFviVAMGSaMW1JA7jmwI0kinNFbX3h3qxHnot2ZXdt1FdmvaRWmt4AGb6QoWm+4+V4fKxnZsZvpWnbgBg1pPrAgoAoqARyCQuacYjbUd8A0yIz0mD1ZTO0wj55C91gtN7Q5szaxBa6fDqIMThQY1deKGzR6QJoYXDpejtaML8SFeFLiPYopz4KafFO6DudRfffVEFfby7WkVFRxGMn2rpggoAoqAIqAIXI2AnbKPJ7dIV6oX4oLL+FOETpMf/Edd7Erdx4aHrLIW+JBEXtQZ+qsZzxNXQiNxHriq645WIq+qFV4k871jSiRieyit1RtIpPV7DyN/IosiHauPLI7vzWn0M4qAIqAIKAIejsCFkxUo4fPCQictOboMgZYKdEZOhjVuDDo59y3M6LQxCjcmxo/UVRqFu9F2UCfOw74sx9mJujmz+hIxoigrDIZJ5E06U7eerTUUHIrY6BAf6j0Yl9ZrKAKKgCKgCLgRAqcps1VPDe+AEBtGRWbC0WlnLdwUwC8Uh3IbjNpqG9NHUgoUQJUGtesjoE6cB+0OkdZ62pDWsiPM38toZvAeRE3TNRPC6cA1GPIom1nP8P65MR6Erk5FEVAEFAFFoK8ItDFbc3ZvMbrMVsRF1jOVWoIuUxB80uegnSffdKqKNXF2oySnt/refR2jO31enTh3Wq2bjHU9pbUyydVmMZkNVYbBFgkeFe1ryG9tZVv4bjZWrGItQ8wgpHI9aAl1KoqAIqAIeDQCBRlVKOSPycsX6eGH4Gepo+B9Mixps3GkoBWnihthZSnQUtJXiTKQ2o0RUIQ8ZIeItNYbfIOxcz4T4vxwy8S+S2v1FBqRQ1lMQuEDufUoZ6fqTurd3c9ooJoioAgoAoqAIiAInNySj5ZmB0LC2pEaWwJ0tsMreTq6vEOw9UwhmtmQlxDibTTLqd0cAXXibo6Ryx/RzgLQpw1prU4Ekvn6wZlRBsP1UNhk1sWNj/PHgbx6OnF1WDY2DOEDwE83FHPTayoCioAioAj0HoHmhnYS/BZTRsvGhrtyxAXkob3VhrAJi3G6EjhRUM9MktBiBUE4SNVujoA6cTfHyOWP2JxRi2OFlNai3yZdokMpfSXROKmNO8W0bkF1K0S8+N5p/a8U4fKLogNUBBQBRUARuAKB3GPlRleql48Vo5Iq4NVVD0dECuzR47HhRCXqWzoRxyic0IqodQ+BHjlx5eXl6OzsRFhYGHx8fLp3BT1qQBEorm3HumMV6GA0TgpB75oaMaDX687JRZ91LMWKD15gNI6SXKvJG6cdRt1BTo9RBBQBRcBzEcjYxXQpG99Co61IDz0JR0cH/JIn4nxXLI7mnDMmPjc1WKNwPdgC3XLixHHbuHEjzp07Bz8/PzQ1NeHuu+9GYmJiDy6lh/Y3Al3U1nrmYBnK3pLWkvqzUD9bf1+mx+ezMR4utXEnixoNTVVRcxBHTm34IVBXV4eWFpJ28qUvJCRk+AGgM+4zAl280dXW1qKtrQ3+/v4IDAzs8zn1BIOPQHNdG8SJg8ULSXG1LLOpRleHD8wUvN+S1YT65nZEBNiweJTeJ3qyOt1y4nJycnD48GF885vfhNlsxpNPPolNmzbh4Ycf7sm19Nh+RkCcoz1USBCbQ1mtuQMordXToc9hUeqbZ/xwnGleIW5Uvp+eIujex3fwDfvo0aPIz8+nwHUHbDYb4uLiMG3aNI3iu/fSDurom5ubceTIERQXs47Kboc3dTaTkpIwZcoUWCzKHzaoi9HHi507XIoKUlBZ/QKQFn4UvqiCOTAa5/wmYf/hap7dZDzHkiM0y9cTqLvlxAUEBKC1tRWZmZkYPXo0KisrMXbs2J5cR4/tZwSkieE5csK1Ub4kIcwHD82KgWkApbV6OnwfihavYm1cFkkbz5U3G2LGorGq5vkISOREHLgzZ84YL33ysJVo3NmzZ+FwODBv3jzj92qKwI0QkAzQ/v37kZdHXU2r1dgzkgU6ceKE8d9Tp14USldzDwROvHkBLU0ORI9oR1pCOeyt7TCnTsK2ikBUN9QzCueF1ROHvhzIPdB8e5TdcuLkDXrt2rX4/ve/b9TDzZo1CytWrOj2XOUNSkLhan1HQPw0E5sHXjhcg3ymKoXLd9UoP4R7d6CZ4WhXsjHhJsQFWXG+qh3b2eAwJ8mHIsddhpqEmmciYOKbhKRQ5cErzpszWiJ/yr8VFBSgpKTEuI+Is6emCFwLAdkrpaWlxl7x8vIy9o6Ycz9JdkjKeXx9VaPZ1XeQieU19aUtyGFTA6w2xETUIMKcBXRZURg8GYdLTehy2DEmyhvRvp18jonw1vAxyVLIT2+tW06cRN6ysrJw6623Gl+okydPYuvWrVi6dGm3ritv3/ImrtZ3BIQE8Wh+ExUR6vgQBMl1AzAn2ReNTc1s2+77+fvzDD4c64LUQBTW1iCztBk7MyswLyUAnerF9SfMLnUuiZDU1NSgvZ1v2VdF2+Tv8ntx8qS2Vu4LaorAtRCQvVJdXW000kkU7nKTf5M0a319veHc6cuAa+8hK+muMvblo4yi9l4+vhibXARLZxOsoTHY0ZyI0rpWBLNbdXFaINrbWtAhZKfDyGQPD7gTt3PnTjQ0NOBDH/qQAW1ycjLWrVuHuXPndqu+RQYYHj745LOeuA/YgY3N1JZrbu8y+NfeNTsW0S5cQ7BmsgN7cpuRzZTqweIurJgSRk08T1wZnZMTAXmoyndeauGcERT5N/m9t68XomPYgBOqqXXdMTdGICY2GtnnsmBn5/3V+8jXzwfR0dHGy4Ca6yOQf+QkOtokleqNkYFnYXW0ocQ7CUftI+Fob8XU0UGYNUqJ4Xuzkt2KxEnq4/jx40YqRMLX58+fR0JCwjvekHozAP1MzxB49Xg5TheREJGO0NpJEaQVce0i0ABvMxaNCkZORQvH3Yjj+fWYkaxM3D1bdfc6OigoCAmJ8ci7kAtmz42IMWuW+eOArzkEAb66/u61okMz2tCgcD7sfeGwNAKOi+lU4cJ0MPWWEDeCDpymUodmZXp21VqqCZ3dXwyH2RspsZWsfatCV70NZ30moLDZAn+vDiyjxJZa7xDolhO3YMEC4y16/fr1xhuRRNU+8IEPqBPXO8x7/alzbBJYf4LSWsxCTYj3xy0T3IO2Yx55fzaeqSH5bxuEmHhqYiCdUBfqwuj1iugHr4WApL8CO+JQm5WL4JEO7lfmR7hnGwtMOLOrGtG4gDn3pSt4isANEdj/XC6OPlmHhKUm+MVyA/ElwNRlQcVp/vfZFtZmA2ZtUHX5XXR6RwFqy5rgS4qh1JjzsLWUoNUciL2YiE425k0b4Y9xsf4uPw9XHWC3nDgpJl2yZInxozY0CLRysz91oOyStNZDlNby93aPO1gU5VMWpgcb0mDHCxoM/rgpI5TraWh20uBc9dDz+Ti5vgUp84Nx37fmk9QTePK5QyijM//SLw8ilm/eSRO0E21wVsP9rpK5uwiv/e4w6kraEBAYgTU/mgErkw77n8tB9ovZyDXnIW1yFubdN9r9JjeMRizBnzPkhmtroR5qQgfSYwvQVWlHgV8K8s1x8KFjvorqDF5Wfanv7bbolhPX25Pr5/oPga1nKa1V0Mhi8YvSWhOpUepOtnxMGHZk1aGophWb+CBXJ86dVq9nY805WoYzewpgZ92mdBCmpqUYJ7j10S788xvbUVnYgGe+uwef+PNq+Ad79+zkerTHI1Bb2oRnf7gP9ayjDWS5yB2fnoWUtARj3j53hOLkqxWUbqrBhj8dx5h58QiLc697occv4GUTrKBqT97RcvL72pCSakdAayYkCZPhPR4VXcGYGWdhc56+0PdlT6gT1xf0BumzBaQSeekopbXYfio1cHdNdT8t0qggG2alBOJFOnEnSQCcxTqJUdFalDxIW2hQL7PzqUzU8gEcyWjr0g+8zSc5/baRKDxbhTf+cBznDpdh3eMH8O7vLbiiaH1QB6oXczkEOtma+PyPD6Awowo2dize8ompGL/4ogMnFjkyEKsfnYwnvr0Tpedr8frvjuE9jy1wuXnogC4ikH2wFFXFjfAKCMK4xDx4ORrRaA5GlvcYdLFQdgnVGYRxQa33CKgT13vsBuWTwsbxwuEKtmG3w5et2vdNF2kt91w2KV7dlV2LioYObDxdjfQoP5ciKB6UBfXwi1w4VYkTW/KNdZ26JgUxqSFXzHjNx6egmHvg6MZc7HkuC3GjQrH0/RM8HBWdXncR2PSXkzj02nmjGWbm7alY9sF37o1Zd6bh5NZ8HF5/HgdfzsbkFUmYsGREdy+hxw0iAkLwayejwoiRAYj3JTdcVSMqvMYiw5KOCZEWzNAoXJ9Xwz29gT5P231OsPtcLfacrzMGLMLA89KC3WfwV400KdyH4w/By8cqcDCvgUoOLUiP1g4zt13Qawx834tZaKhoRlCEL2bdnvaOI7yp7Xvv12ahLLcWxVk1WP/boxgxLgJpM2I8CQadSy8QOLW9ABv+eAx2RuOSJ0fhri/NgkXYzK8yKzmKbv3UVOSyU7+6qAGv/uowkidFIoDKNWqug0BpTi3kpc5kY1dqfB1CrSKdZkY2o3DN1mCsHhfsNnXdroPqO0eiTpwLr04NpbVeOFKBlnY74kK8cT+jcO4eeF46JoS1cbWoJSv3dj7E1Ylz4Q3Yw6EVZ9fg6Bu5TJMAE5cm8kF87bR/VDKbHb4+B3/74lbU0ZF/9vt78ejvVyE0RjvUegi5xxxefqEOz7MOrpkZh9DYANz/zbkIuUG5RcLYcKz40AQ89yPKctGZ2/yPk7jzCzM9Bg9PmMjpbRe7Uv0jwjAmtQSOqjw42J1yxGsyRoT7USdVa+H6Y53ViesPFAfoHOLA5VW1wptvo3dOjaAj5zVAVxq806YwQjMtMQBvZtTgIEmL105sMxxUNfdHYNfTmagubkIw13jxe26srSzpr9Ufm4x1Pz3Ih3AFXvy/A/jg44tJGaFM0O6/E3o2g/bWTjz72F4UUZrPxo57ibKlz7x5ZHbhQ2NxemcRTm/Px47/ZjClyiaaadE9u7gePSAIdDLwkLmvmIobQFSMBYkB2UBFB0q9RyDPloLbRwXBz8s92BUGBKB+PKk6cf0IZn+e6jg7Ubdk1pDYEpjChoDlY92DE+5mGEgkcc34cBy60IDS+nZ2qlbjA/Nib/Yx/XcXR6CKHafHN+UZ7Ppj5scjadLN2deXM5JScKYSB185j0OvnmdaNRwrPzLJxWeqw+tvBCSlfnJrATvvTZh77ygsfNeNXwCc1/f2t+HWT07FhZMVaODLrqRVH/nNCvhQSF1taBGQVKpESM3kjBw92Qu+9adh7XKwFm4M/CITsSxNo+79tULqxPUXkv14npZ2h8Gp1thqR3igDQ+SE87Lgzp4Rsf6saA1iMS/1dh9rg6r6NTFBuuNtx+30KCfah+5uyrZdRwQ6s0H8WjjgXwzs/JN/F6mVcuFhuBEBV7//THEpoVqkfrNgPOgfz/46jls+ccpvqx2YcycONz1xRk96lZOY8RuEZ2+N/5wDJm7i7H72bNY/qGJHoSQe07l9PZCw7H2Dw9FWkw+LHXVJPj1wxk2NSwcG4UQX42499fKqhPXX0j243leOV6JsxSMl9brtRPDkBblecX/i0eHYC8FkcvZqboruw73z3A/2pR+XHK3PlV1SSP2v5RtROHGLkjgT3y35yN1cPd/Yw7++Mk3UV/ZgudZ4xQ9MhiRiSrN1W0Q3fTAorPVpJk5iJaGdkQkBOG+b85hc0LP73US0c0gOXDusTK8+beTBndc/GjPyFy449JKY8qZHYXoZDAinhQiCQEHYM+vQbk1CTVR0/DBVG1A6c91VSeuP9Hsh3OJUPz6U1XoZB5VCH1vmRjeD2d1vVOMj/PHpPgA7KMjt4MNDstIYBzur9vR9Vbq5iPavy6b3aZ18GM0deGDY7oVhbv8rOmzYnHbZ6axwWEfirKqDUfuwz9bCi/yhKl5JgLNdW3GeldSwcU30At3fmkGEsf3TsEjMNzXqKP7y+e2QtL6r/36iLF/JNKrNvgI5J2sRFF2NazUWR85ktG4lmx0OMzIsqVh4thUxPjfPEo/+KN23yvqXdKF1q6dkYynD5Sjll2pgXyASTeqv4feiGyMMq4aH2ZIcBWSzHgb6//una7ROBfajt0aSlNtGw6/lktaCAdSp0RjFFNivbHF7x1PIuBq7HoyA8fJLfXG74/ijs9rt2FvsHSHz7z8i8NMfxZR0J6Er+8dhzl39U1Ld9LyJFLapGInm2uOb76AAy+fpyTXKHeAwuPGKOsqXedBseGYOL4F7Rnn4TBbURkzG0tZ96rWvwioE9e/ePbpbFvpyIi0lvCISCPD5BGeLSczlV2qYyl8fCivHjtJACtOXaCPvj33aRMN8ocPvnKOXYXVkCLz+Q+ONroLe2NCDnzn52egmOfKPlSKzX87ZfDHTV19UbJLzXMQ2PPcWUgns0OyDewoXcvmhP6wtYzGZR0oQcm5Gmwk39yYeXEqydUfwPbgHG1NHcigVqo8xEaMDkIE9sDU3oJSUxSiRk/HiACNwvUAzm4dqk5ct2Aa+IOKGI164WjlRWmtCB/cPtnz31gsfAtfzJqJE4zGibSYEBuvmeD58x743TQ4V2jkmu15NgsdbZ2YMCcREg3pi0la7IFvz8MfPrHRoCp5gbQj0SNDEJce2pfT6mddCIFc6mhKFK6jpdNQ87ifdXD91U0qGqq3fGIKnvjmLhTzXvI6o7nv+d5CF5q95w+lgHJpElE3WSwYPc0fPrUnGKVvR03EWKSNH+f2PKeuuILqxLnAqgiNyPPkhBNpLR+ykd8/IwoRATYXGNnAD2H2yCBsyvDD8YImgztOFCmCtBZq4IHvhyuI9FFh5kWNy9l3p/dLDZsw79/JNOoT395l1NkJf9hHf7McfoHKJdgPSzakp2ioasHTXE9RWfAN8sY9X5mNGHYj96fNuiPNkH0TSa4DL503In19fbnoz/F5+rmObbpAwuY2RKTEIDaiGB15BWhxeCNg9BwkMzih1v8IqBPX/5j2+Ix7WNwvVBsSaF6QHoy5biyt1dPJi9O6kk0NGSXNyKloxYGceqwYp51lPcVxsI9vZyRlz/Nn0U4anJHToqjQ0H/alcIVJm/0Qj1xhqmZ1397jFJdswd7inq9fkTAYXfgpZ8cRM7RMkppWai2MBFTViX34xUunkpkum779DSDo6xSmhzIQZc6PRr+IepA9DvYV52wub4N5w6WgHRwCEsJQbjXXthrKtDlH4OYyYswPMISA43yO8+vTtzgY37FFasaO/Dc4XK0sjA8looM9/KBONyqBqYnByE5vApZZc3sVK3DIqZYva6hmTjES6WXvwyBYxvzkHO4lFE4C+bfN5r8cP37kLyD9XGlTImd3lGA7U+cQdyoUMy9RwvV3XUTbvvPGewjDY3c26asTsbqRycP2FSEXmTp+yfgxccPGM7cm3+lJNcXtUlmwAB/68Q5TJWXUHrPJ8AXI8aa0FZ4FCGkg2uNHoPwxHfqKA/0eIbL+dWJG+KVXsc6uAuVrXRaTLh7aqRHSGv1FNIAFsMLxUguecIyS5twILeeEcmQnp5Gjx8kBERSR0hV2xiNS6FQ+YzbRvb7lX3YKHEf+eMkpVqRX4+XKM8ltXFJE7WDud/BHuATZu0rwfrfHEV7i538baG4j1HVgaaPWfTuseQqK6AsVyF2PpV5UZKLETm1gUMgY1cROf86EJoYDGtIDUKLstFOapHA8YvZhazkvgOFvDpxA4VsN857LJ/SWtQL7KJi+BR2oi6jOPxwtcV02rawJk6icZvO1ECic75Mtaq5HgJCIZDLCIekrqavHTlgqSqJvt3z1Vn419d2sNGhEc/9YB8e+d3Kfo/6uR7CnjOiGhJBP0dh+/rKZgSSyFeE7cMTBl74XF4C1n5yGvLPVBkk0q/88jA+/oeV8PbTpN5A7K5mEjZn7C6ESB/7shnJp2UPrG2NsAdEwHvktIG4pJ7zLQTUiRuirdDUZsezTKM2Uvw5jDcckdayDWPx7wCm5SSNmlMh0bhmnC5qwozkgb/ZD9Hyu+1lO7hvtz+VYRQvS9pqdh/5vW4GhDiJhZnVRqdh1v5SMvwfwLu/twDmYfxduRlmrvLvErF94ccHcOFUBYl3rbjl41MwbmHCoA1v1JzYS5JcZ/cWGRG5FR9WSa6BWIDs/SUGcbOfnxdaY22IbzsFc0cbTMmjYY3RMoiBwNx5TnXiBhLdG5z7tRNVRjG/lTQbQquRFuU3RCNxncvOTQ3CxtPVyK9uxWY+uKclBaIbEpyuM4FhMJKz+4pxdk+xwYY/hx2pIps10LaWtBGFbHQ4QRJX0WhNZEpV9DLVXBuBzZTAOvRajlHoLs74siHQNBVJrsw9RUZDxea/n8R4OpGxSlnT7xtHOtXbG9uBhEjEhJcjoukCCX69YEueBpOtf+tl+33wbn5CdeKGYAGzmTJcf6oadoo+i/zUcOCE6w7MUZTfWTQqGE8daCPlSKPxI4TAaq6DwL4XstBS346olGDMvC11UAYmFCYPfHuu8aYvxMKvMjUWN4qawlrjNCj49+YiJ0nzseFP5AhjV2rKlEjc9/XZjJ4OfsuWcA/e8omp+OsXtlCSqxGv/oaSXD9ZCouWavRmWa/5mdqyJurWsryC0fG2mCBEWw8jvL0SLV7+8B+9uN+uoye6NgLqxA3yzuik4/bMoQrUkNlaUogPzYqCn4dKa/UG2uVjwrDtbK0hxfXmmWqqVvgzGjf4N//ejN3TP3P+SJkhNA6uxzTSQ0QMokh9JK9179dm8WG8FbV8CXrme3vwiT+sQsggRAI9fV37e37SjCJ1cI01rQiKJIEz6+CChzDTMHlFEmaTP26HSLqRx+zQa+cHvAygvzF15fPl8L4gXak2H284ksxI7zgDh90OS+wo/ox25aF7xNjUiRvkZRTH5BgjCpImXMGOzEkUuVd7G4GIQBtmpQShuLbC0FXNpgbf6GhNNQ/1HnHw5WMnH4L1rFmMSAzEgneNGfQhSYfhqo9Oxss/O4S8ExVYx47V9/94Ecza+Tboa3G9Cwp/4Is/3k/pq1p4+Vpx+2enI3VGzJCPb80jU5B9oBTFWVJfeQzps2JVkqufVuXktgIwrYSOED867c1IaWNXKnXAvdPmwOSl9+5+gvm6p1EnbqARvuz8xRQLf+lYpbHBUyP9cCfTDGrvRGAZo3G7SH5cwY6nTadr1IlzgU1ScLrSYMIXoq9pt4xENMk8h8JWfXSSkVI98PI540eaK1Z+ZNJQDEWveQ0ExEE6vjnfELYXAfpF7x7nEjiFjwjEqo9NxhPf2oFiRo02UFv1of9dIEFltT4gIKnUcwfJF0kgG+KCMcX3DPwbatDpFwpryow+nFk/2l0E1InrLlJ9PE5oRJ5jGrWkth2+TJ/eOz2SXakK/7VgTQr3xrzUYLxyrMLgjMsqC8OoaN8+roB+vC8ISENBAxtOgvnyIampoTKhNRHaEUnfFJI+4g06DeLIDWbX41DN3dWve/j1HKN5wM6X1PRZMbjzCzNcykmac1caTm69QEmuXOxbd457ZgQk1arWewTOkIevltyeZl8bU6n+GNd5Aub2Vpjj2ZWaOKX3J9ZPdhsB9SK6DVXfDtxLaS2R1xKbSwdlHjsx1a6PwPIxoVRvqEU1awe3k0tPnbih2y3FWTU4uiEXoMjvpOWJSJwQMXSD4ZXDYgNw/7fm4C+f3WKkd4U/7pN/WY3weKWkGaqFKeEeWff4QbRSgSaCUa8HvjVvwPgDeztHM18Abv30dKMIX3gHX//dUaQx1esforq8vcFUSiykRrajuQPmhAhERtcjoSkXdpMZ1qSpdOz0GdcbXHv6GXXieopYL44XR+TZQ+Voab8orXUfo3AmjePfEEkRS55OipE3Sfwr0bi1E8MRH6o3215svz5/ZPczmahifWJwlL/LpMfGzI03NDKfpQMn6dVnHtuHh3++dMCVAPoMpgeeoIllIk+x0aQ8r45kulZD4ipp4tA6+teDOYGlGss/NAkv/N8+SnJVYNNfjuOuL83ywFUZ+ClVUklFqFu8vcyoTWQ03DsTUbXFaLX4wmf0ooEfgF7BQECduEHYCC9SWiuX0lo2SmvdNSUC8frm1y3UV40Pw+EL9SinlMsG8sd9eEFstz6nB/UfApUF9TjGjj4pBxhLjq3kSa5Txylccfmnq7CLTubxN/Ow8Y/HcRsL6dUGF4HXSNsh3IGSOxW5q9l3Dl26vTszlzGe3p6P07sKsevps5iwNJF0NUPffNGdsbvSMcIZWU1Sdi9fb5iTfTCaXamwt8Mcngxr/ARXGqpHj0WduAFe3mP5DYaclDwEp7Grbzk7UtW6h8CYGD/KkQVSmqwW+5iKXj0hTB3g7kHXb0fte+EcKgvrjZSTkPu6kkl6TOrjynJqkX2wBG+yHit+TDimUmBdbXAQ2Pt8FruWM+HgDW7ikhG4/XOu70RLtPDWz7wtyfXar45QkmuV0U2r1n0ETrEr1cISi45w8sFFdmB002m0d9iNhgZzoGtGYrs/O/c5ske7dt++fcjIyIDVasXs2bMxapT7yWl08WZTWlqK2tpaeHt7Izo6Gv7+A8M630iJomcOV0D+lCaGB2YMb2mt3nwtltHplXRqBaNxe9ixej8xVBscBKoKG9gBmg1HZxfGzY/HmLlxg3PhHlwlINSHepxz8IdPbEJNSRNlnvYjhjWnsWn6stQDGHt1aB71c4Xmpa2lAzEkf77v63Pg4+/Vq3MN9ofSZ74tyZW5t9iQ5BJ1B7XuISBULfknKw0C56b4UHalnkdwdQUcJPi1jZxpRGXVBgeBbjtx69atM5yflStXkpnZgvDw8MEZYT9epaOjA4cPH8b58+dZo+0w6tLEgZsxYwZGjBjRj1e6eKr1J6uQ+Za0ltR0pUVph2VPQR4f60/C3wDspgO3nRG5pWx4iAhQEeue4tib4w+8ch6lJG71IXffAqYupTPUFS15chTu+NwM/Pd/dsEgmmWd3CO/XamRlQFcrCYS+QrOInDvS6WVu748y+3krJZTBuwMU6rS6PDmX0+wWzVenf9u7hnBrY70Il5+NnRQ8H5C26vw6mhCW+hIOnFzunkWPaw/EOiWE1dWVoaTJ0/i85//PAIC3Jec9tSpU8jMzDQiiU6C0Lq6Ohw4cADBwcEICuq/bppzJKl9g06cSGtNiPfH2knu5/T2xwbr6zmsfNNbNS4MJyiZU8gC6i2ZNUZEU21gEZBi9SPrc8i83oXUaTEYTXJUV7Z5949GEaMDm/9+Cmd2FOLlnx/Cfd/Qh8lArJmDxK7PU9j+3KEyyldZDJ6+aWtSBuJSA3rOwHAf3PqpqfjbF7axtouSXL+kJNfPVJLrZqB3ttupR8saSD7bWsKCEB/fgrGN59DOv1sTJsAcHH2zU+i/9yMC3XLiCgsLDcfn6NGjEKcnJCQE8+fPd6sOy7a2NhQUMIfPKOLlDO82mw0NDdRkLCrqNyeunQ++pw+Woaqx05DWemAGU7YqrdXrbTuFtYSjov2NJoe951kbx4aHYK1f6TWe3fng/nXZKMisYnrMhoUPjoHV29Kdjw3pMWs/OQ1FmdWMrhRh+xNnkDA23OXq+IYUoH66+I7/ZpBnjWl2lqZMXZaM1STRdVebvCLZaMSQ/SLNMSrJdfOVLGV9snT2ejEyX5saiTGBpQgvu4BGkw0+Y1Qr9eYI9u8R3XLiWlpaUFNTYzg/4sAdOnQI4tg9+OCD3XLkxIGSGrShMhl3U1MTWltJQniVRI+kVOWnoakOVVWV6Oy093qYUgUgHahvZrXieGGTIQg8N9EbCT5NKC9rBHsb1HqBgI3RuOmxJpwpsaCgph0bjxdhRZovOugsK6a9APQGH5GUaQM7qXc9mwFHRxcSp4UhdrIvyivK0cU3bVc2Gx3NpY+koTyf3+X8Rrz0s4PwYzNt4uQwtDV3uvLQ3WJs3qzrPbe3AtKNahe6pLRgLPlYKupbyNBf53CLOVw9SKvNjGl3xyFjTwEpUhqx/rdHEDbShlBqNssc1S5DgA84wevAa1loqWcXqp8XfFL9MQsnyBXXBATGoM5/BLoqq9ml2qHQdRMByW72pS6/W06cROGkAUCib2JSD/fkk08aTpGv783rvLy8vBARMbTdKpIqDQwMRHl5OST6dsm4MaVztK2KdX4zZIxdsDNd0BsTPdQiOhlvZlejrcOBkZE+ePf8RIT4mY1rqPUOAXGOlwd24WBxAY6y23fvhXasmhSLcDeIDvVuxkP3KSlUztx8lhqTtbCS/2nRg+MQmxBtpFXdwcIWRKDjK1b8++s7DG67N351Bo/8bgWiWI8q5KRqvUNA9oXguf4Xp1BHgmVpKHngm/MwdtoI3i97/+Lbu9H046d4cwmfFoFbPt5BSa5d1Hytw/5n8inJJZmmfryOh5xKUql5R+iksQu1mTJb82cEIvn8SbS1t8NGhYaQVErgmcWt0O9ad5e8r9rP3XLi4uPjUV9fb0TTJBJ34cIFozZOuju7YxLpkjTmUJpcPz09HRUVFYy2dRrjkU5Vk8WB5hITXv1rJhqyrFj98Sks4O79WJ8/WoUydlL68I1FSH3DtAi/X5bdj0uyjE0NmexAvFDdhn25jUZaVa1/ERAB830vnkdnmwNpM6MxkRxaJpj5fenf6wzk2WbcmooCSnJtIG9czpFyrP/1MbzrO/Pdag4DiU9vzi1R2JceZwYmo9rIMKz+2CSMX3yxGWyo7+29mc/Vn5l91yic2lpASa4cHHolB5OZJp64LLE/Tu1R58jLqDRe8Lro1PuPj8X8yDKYDxSgy+oDL3alWmzu0Z3sSYvSLScuISEB06dPx5///GcjIifO3D333POO1KSrA5Oammp0pQpNiqRXvXxsCPYLw4Wj1ajKq8ErvznMbrxa3P3lmQiltE9PTToopWZL3kFEVmteakhPT6HH3wCBmSmBSDrhg8zSZuzKrsWiUSHwpbOs1n8IHHk9F7lkYfdiLef8+0bDnxEXd7S1n5yK0vO1lAvLw+5nMyFM/QvZYavWOwQ2/Ok4RBtVolOzWEO24sMTe3ciF/2UhWUwaz89FTnHWMssEcffHcHIaaxlVmL2K1ZMGhoaKltgYq3s2GUpSK59Fk21lTAFx8CWNtdFV9ezh9UtJ04iaXfccYcRgZP6uLi4uH5rAhhMeGUewm2XmJgIoRuRMKaX1RvJIZV4rm0vLpyqYBQiGxUX6qj9NxcpU7vfZVNFaa3nRFqLNXWxwd6MwkVpOL6fF1eaQ4Q3Loc1W0LdciivAQvTg/v5KsP3dO2tjMKty2L9WAeSp0RBIlruat6kPrjnq7MNIuBiOvyv/OIwYsgdlz5Tmfl7uqantuUbUc1O1oiJYsddlNWSrlRPswQSRQvtyAs/2m9EcIU8+s7Pz/C0afZ6Pm2M0p/gXrCybsicFIYlkyww7T6KLpYf2WLHwBLlvveLXoPiAh/slhPnHGdSUpILDLnvQ/Dx8YH8OG3U3Bg8+oeVxpf38PpcnOcX+M+f2WxwH826o3sSMi+JtFYVpbXoGBrSWqrz2feFusYZ5rOYWhQwJBq3kZJLc0YGwsb0jlrfEZC37Jyj5QYf3MzbUuEb5N6pkWgS0Ioj9/cvb0dteROeJ6/ZJ/60CkGRfn0Ha5icQWTXnud9sam21dDOFWLlUHI3eqotfu84nNpegAx2OO94IgPjKTWXNkMdf1nvbEYpS7LZxMLU+vRlI5EeXIWm3JOST4ctnfXyZs9z7N1hn/fIiXOHCfV2jGFMn37op0sRQ+LCjX85YYTU//2NnYa49tpPTYP3DSgtTlI/bjNrRZzSWlK7pTYwCAT5WCGOnPDwnStrwbGCRsxM7j9+v4EZteufVbi/dj55Bs117aTmCMPsbr68uPrMJi1PwuqPTmKn6iHkUGHguR/ux/t/tIhNG/rAudnaSUfvs9/fxxqoGqbXrdSlnYZ0F+cLvNmcbvbvMs/bPzMdhaypbKhsxvrfHMUjv1/B+78SjB9iaUJbYzssTDFPWRAHa/4r6CSrg8k/DLZkjVjebG8N1L+rE3cZshKBEAHtaNayvUQ5mfK8eiONUE5+svu+Phvh8YHvWIdGpqCeOlBGaS2HIa11/4xIgz9HbeAQWJgegk1napBf3UrnuQZTqa8qpMBqvUfg9PZCZO4tMSgEpOYpJMZzoi0rHp6IgowqgwNMfkaMD8fKh9lFp3ZDBDb84Ri50y4Yx8y5Z5TBFzgcLI0p9wUPjTHu/Rl7GJEjL95w3y8lzHxkHigldUgX4sdGYtK0UDT/exu6OtmVGjcW1tjRw2FruOQc1Ym7xrJIKikqKQhPf28vzh8uM5jrqwoaDEdu1Jwr9SPfOF2NjGJywrFO4FaqMqRHa6pmoHd6ODt+l44OwX/2l+E4I3ESCZ2a2PNGlIEep7ucX+hDDrx8jtxPbYhiCrK7JQTuMj+Jut37tdkopyTXhVOVEOdE6p/GUg9W7doIHN2Qiy3/PEVqGYcRfbuDtWHmYVS2sJKOf8buIuQyerv1n6eNtGrcqOHbDb9/ZyGq2SgkL3lTV6XDp+k8aoqzmUq1wppIsmevm1ON6XdtYBBQJ+46uCZNjMTHf7/SqAeRB1zeyQr8+bObcecXZmLBW2+kktJbf7IawpI0MdYPayaotNbAbNN3nnXx6FBsOVuDAtKNbGBtnDpxvUc+l7Uup3cUGA/p6beMRETCOyPOvT+7a3wyLC4A97NZ6Y+fehMNVS149rG9+Djr4yJHaCr+6hUqpFLH8z86gOaGdoTGBbIObi6CIobXQzogzBdrP0FJri9uRWVhAwmOj+Ijv1gGk5CBDjOra7NjHyOytk4HfChVNmX5SHTlPAlHHelFfINhG60qDUO5JdSJuwH6geG++MCPFhvCzm/8/hjqypuN6FxlXh3msYvpOTpwVY0dCCDp7P0zo4w/1QYHgUiKskstXFFNBc4wEirdqmPoSKv1HAEp4K5nU040o8/zqUHqqTZqdiwfzFPwwo/3G7WuL1D/U7QybVofd2nJW1nz9DzrBst5jxPJtTs/P93oSB2ONmVVMmbenoqdT2UaaeX9L50bljJue6kBXssgBvm5yB2ZgCjKKLfs3M+u1A5YI5NhjR83HLeHy8xZnbibLIWJtVaiDSidbhKVk5TMFopsH6H4c/7sBJhDfbGCjQyTEzSdN9i7etW4MAg3XzklYDaeqVYnrhcLkMd00WmmSsyk35nMh1aMh3MbLvvABFKO1GAXH8zHWKi9kXVPt356Wi+Q87yPSGPWK788TO1Z7gfe9xa/dyzmkStwONuaR6cg+0AJSsj/+frvj7KcJhbSBDdcrI6lFrs2XYCpphUWbyvGLUqC1VGGhpyjhlylLW0eTN6eUz/rjuuqTlw3V23KyuSLjhxpCrJJxVDDFJQP6+Si7h6Fe+YMj4LfbkI1aIcJjcsCdqq+SHqXQ2xCOcvi29ExGo3ryQJIdKGuopn0EX6Yc1f36HR6cn5XO1bSYXd9aSaKGYk7TzqVTexEl1qnqauTXW2ogz6evc+fNYr4ha183IIErP2kOreRiUFY/chk/Pfbu1F6rhZv/O4Y3v29BYO+NkN1QSGvLzpUgkDKbAWwJGH84gTYM16Fo6ECJp8g2EbOGqqh6XXfQkCduB5shViShb7/58vw86/uQMX2fHjVtADPZeJwlA+WvH+C8faqNrgIiGrDdsrAVJNsedvZWnXiegB/UVY1jpCFX0xSR4kThkfaLJD1Tvd/ax7++IlNqCltwgv/d4AlEyEGvdBwNWn4eOXnh0j03Gm8rN5HPjjfQPfmCeyvtZzLzlzp3pbO5v2sjxY5LpGj83RrpzO/hx2p3sUN0pRqkN9HxHihaet2dHW0siN1DKwjPEu5wx3XVJ24Hq7aqdp2ZM9KgJfJDP99hWhkmPl51taU5NSRyXwGZVrcU6aohzC4zOEjI30xPSnQSKdKNO6WiWFIDNM16M4C7WTUpZpatCGMwi14YHhFk0dOjcKd/L4++f92o4xSe8+w1vVjv14On4Dh57jUMxL79Hf2oIp7QRw36eSNG6Vcl87vkDT8iIybdKpWFTbitV9Tkov7x9Pv9fvyGylJWYaQujZ0MEAxedUooLUcHYWM1vL5Z2FXqnDEqQ0tAurE9QD/GiG/3FeKhlY7Elem4J7bU7CfdAU5JytJlJphFAM/+O25w7oVvQdw9tuhq8n7dZASXOUNHXiT/HEfXsDKW7UbIiB79eQ2ClezEGr03LhhWbw+797RyD9dia3/OoMzrAtc/9ujhsLDcDIRtn+ZkmTnj7DTkKnm5R+cYERl1a5EIGFsOKSeUpphco9XYDProoV2xVOtjaG3N/lcs5yrYdTNjoikYKTOjkdX3huwV+XD5OXHrtSFnjp9t5qXOnE9WK4Xj1Qgl7qdNt7s1jKNt3RCGCaOj8BTj+3Bqa0XpVp+97GNuJd8clNXp/TgzHpoXxBIi/LFjGRG48jZJzUct04MR3Tw8Iuo9ATDfevOoSK/3ogmLCSx6bA0Vj/c8bkZKGGtk3x3t/3nDOLJHzebZMfDxaQGbu/zWRBnbsqaFNzC7l21ayOw6N3jjCagMzsKjdrB8YtGIHV69/W13QnXY8WNyKYKUSTl6jpILZI6IxbhESY079wLtLfAEjMKthHkh1MbcgTUievmEgip7NbM2ovSWkzfSUeqWARpGT76i+V49TdHsO1fpw11h399bYfRxbqchJFWDxSK7iZkg3YYm6SMBgdx4CpI+bKNNXIPkvJF7doIVJH36sBL2QaR6wQ+iNJ4gx6u5hfsbUTPf/vRjXRq67DucdbHsUM3cUKEx0Nydl+x0Y3a2W6n8xqK+78xBzbKTqldGwFvP6vBHZfPCFU9Jble4z3/Y79ZYVCxeJI5+JDbkl0PK6P1ZhKAe3F+45cyKOGoR/u5fdL3AmvKTJgDPf874g7rqt/YbqxSc7sDTx8sQz0ltsIDrHhwRhRs1rebGLy5ye9lGiaKIedXfnGIYtvNhlZjEakM7vvaHApuDy+izG5A2u+HTKb0ltC8COXIjuxaLOVDKYpccmrvREA6Uo0oXLAP5pEXzkIW9uFs0p1615dn4j/USq5mBOLZH+7Do79dySilt8fCIpyXoiNbX9kCf3Z53/vVOYjgd0jtxggI1+Cid43B6yyjySAVy+6nM7H8w55V3H+cCjinWOMdWFwPB4l+Q5KDMWZeHBw52+GoLYbJ5gNbClPJrItTG3oE1Inrxhqs55tXJukrRHVmDeuvUpm+u5ZJWio2LcRgg887UYF9L2SjkjQkD5IpPmmYEmZ2A95+OUSI1KU27nhhEwmA27Cdag7309lWuxIBUSs48kYO7B0OjJwSZfBeqQEitSdC76//7iiy95XgZXZqPvS/5MCSMK+HWScfzM+T8Dj/VIXhwN/y8SmYsGSEh81y4Kaz4iOT3pLkktq4kxi7IN5j6qA7mVbfyIxTR1kTfEoa0Ma/jyXdTECgGS1b6MS1NsISOdKIxKm5BgLqxN1kHc5XtODVE1VgWQAmxvtTH/XG3ThpM2Lw6B9W4dnv7yV9Qy7OHSrFnyj1cwc74Wbfme4aq+6hoxgX548x5Ik7yC7VPYzIiQxaoI+qaFy+3AdePo9C1rpIF+bCd49VtYLLwFnz6GQUsNHhxNZ87GKEJX5MGKMuYz3u27L5H6dw6JXzRmnIjLUjsZzqM2rdRyAg1AdrPzUNf/3cFkpyNWI9Jbk+ROUPi9X9I1M5fN6JFnVgWSNMJFG3ML0+brGkUhvQfuE4OQS7YKXgvSVcnf7u75iBPVKduBvg207P7akDZahp6kQQnYEHGNnxJ2v1zSw0xh8ffHwJopNDDBHpCkbjnvjWLpSxZmvtp6ZCBLnV+h8BL6a4JY16qqgR+dRUFf642yapnq0TaaHD2fPcWaMGSsTfJyzxfK6rnuwybz8b7mNdmETPi9mV9+qvDiOBjtxI8mN5ip3eWYANVKnoZMdh8qQo3EM6EU9wPgZ7fSYtT8QsNsDsfCoDxyjJdZBO8Zy73f8lfQO7+1taOhFC2p2Otk7EkTsydVYMHPl7YS8/D5PVG16jFw023Hq9GyBwc49kGMO3leSxR8mVI6m6ZSKtNaL7citefIMRHqo4CrW/yNRFFR0LkW0pZcPD/d+YjdBhJN0ymFto9sggdqn64WIjSg0WsuEhmAXJasCJzRfYiVkDL18rZjB96KVRyndsC5Edk+7yv35+C2rJm/b0d/fik39axbpW91cCKb9Qx1KPfWisbaVChz8Jj+dCXjjVeo6ApNklDZ21n5Jc/E698YfjGM3SBHe+r4vizUFGFn2rmmFlJK4dJoycFosA/4tdqY6WBlhCYplK9VxqlZ7vhKH/hD7drrMGJSQ4fPFoBTpYE5Aa4YM7p/SuE0dqbSITA0kmug/nD5carN+VLCoXRvRRs7Qeqb+/Al4kpVxJTdWMkmbkkQ7mQG49Vo5XQsqWhnZG4bLIDmBnN2o0ppFOQu3aCAgb/6qPTmbn5iGjtvXFxw/ifT9c5NaKLO1synr+ByQlZ7OVjZkAIa9NnxmjW6APCIQnBEJS8E98exdxrcYbvz+Gd33XfSW5JHNR1+ZANBsaTLxf2BiZnkQ+VKADHdl7mFK1U6FhMlOpGsHvw7bp94+qE3cNSO103J49VI6S2jb4kCLknulR7ErtfaejpC2kFX3dTw6Q2uGc8WD4G9/0haNKugPV+heBqXSaR0b4IoOSSnJjEmku72HegSlRuByyr0v0bcGDY1RS6SZbbiWL14spSyZpMvnOjhhHslcS4bqrbWCk6PiWPGP48+4bhSXvHeeuU3GpcUsK9cSWfKP+WbgXJ/AFwB0luaQZbP+FBvgxze7NiG0nG59i0sOQMi0KXUVHYa/IY1eq18UonKX3z0KXWjwPGYw6cddYyH05LIw/z7cRhsznMx03PzW4z8sdEu2H9/1gkaHP+Drf2GqYqnnyf3ejmG/GwvwtKS61/kFAmhmWjQ2FNKWcLWvGXq7nktEh/XNyNzyL8MHtfuasEYUbyZuyir3ffBFt3nx5Y71YKetYRdVB6uNi00ONWkJ3M+lG3vTXEwykdDEKG4M7vzCT7BCe13U7FOsikly3sskhjyoO1dQYFUmuFHZ9S/ODO5nIFlZTiSiYqXZrSSOauVcmUOze18eE1oxd6GqugTmI1Fppc9xpWsNirOo5XLXMtZTWeu5wOVrIDRdL1v97p0fSmeufvSDt/GtYRxE9MhgvUnRb6uM2/fUkykiqKESbUeTjUesfBBamB2MzuzClzuNN3qDmpAbBxwO6x3qDzkmqiUj01+JlxvRbRnq85mNvMLrWZ8JYt3rP12bhr5/dggY2hTxH/rhP/mk1wuK6XxvbX2Pp7XmkXmvd4xS2Jwm2jPuBb85FgGoL9xbOa37OiNJ+YBxeYNpdnLkt7P51J0kuicLt5suKlffHoMJ6oLkDQoI9ap6kTdvRnnsEXfZOWKLTKHrved3a/boZhuBk6sRdBfpzh9+S1mJt1V1TIxA/AISfIsklDtvT392Ds+SkOsHupmo2Pojw9LiFCUOwDTzvkv6MpCxID0F2eQuySGx6ivxxIs013Ew6UaWDrpnM6wnjIjD3XopYq3UbgXHkyLr109MMYtyC01V47gf78PDPl7kFQXJLYzupjvahNKcWojZw15dmIHlyZLfnrgd2H4HF7x1P/d0inCEB8A7qaI9flEBJLveoORQHrpIMDKF8yfO6UIsW8ggmT2RXKlVvusoyYC86A5PFCls66/3M7k+j0v1VdY8j1Ym7bJ2OsaNxG0liRVZkCuuqlo8duIL4+NFh+OivlmPdzw5iHwvOCzKq8LcvbDUeGEvfP949do+Lj1JS4RKFu1DVCkkXTE0MIGFzP4VVXXzuzuGJJmgW5ZWERmLu3WkIYq2gWs8QWMLvY8GZSqMx5OiGXKOA/dbPTOvZSYbg6Fd/eQSnqfNp4gvpQvLdzblbHfiBWgahp1nLe3fBmSrUs4zjtV8fxaO/X+nyZTJVjNDuIAuDlS+9wexK9aKcWBPvkaPnxkMom1qz9sPRVAWTbzBsI5Xgd6D2T1/Oq07cW+g18e1DmhkaWRcQ6m/FQ3wLsfHmN5AWGO6L9z62EAl06F771VF++S9K4ZSRo+d2Nj34M6St1nsEItiMsoQUL//eV4aTbJ0XJ306dW+Hi4mo+b4Xs9Hc0MFazGBMX5s6XKber/M086F215dm8XtZj3PsMH+TLP0jqA4yaXlSv16nP08m0mo7/nuG3KxdGM9o4m10MNQGFgFhG1hASa43fnecig6FBmG0qzfDbCYNU1FdO0JDvBBX24JCvvAKEfikFckGWO1ZrIdjKtUg+I3RJryB3UG9O7s6cW/h9trJKoOWQiI1t04MR9p1pLV6B/P1PyXNE0vfPwFRKZTr+t5eg2R027/PsGW9ljxOc0g2qmS1fcFcGhrkRlVQ3Yot/FOiceb+KnLsy8AG4bPZB0txhg8TcUKmsRZOtTF7D3pwlB8e4Pfx9x/fxKakRuNlS0oihFfO1eyCQYtyAG2s741KCsID355r1DipDTwCKz88CZm7i5B77C1JLjbCSEOMK5rUf4uyTRfvDwk2BiyyqtDGrtRxTLnHkeS6q4byfCVnWRNuhi1pCkw+7lML6op4D9SY1IkjsudYN/U6nTihFhkf54e1Q8DyP561cGG/W4kXfrwPUoiewRvBnz75psEnN2mZ677xD9TG7K/zCjXMnJQgQ0/1BCNxWWUthjSXp5tE4XayNqeRzqs8yBc+qG/RfV3z5MlRuP0z0/HUd3cbdWbP/WAvSyJWwNvfdSgXmtiAIXVwNcWNjKjYcNeXZ1LP2TWdiL6uhyt+XppGhIPvr5/figrygb5GSa4P/mQJrC5IcbSPIvf5vD8E+HshlepEZylXCJa8jZnHVCqdutbMPXDUl8PkHwLbKPflv3PFfdKfYxr2TlwHW6kljSrSWgEircU0qv8QyWLFpoWwaHo5XvnVIWz/T4bRvfr3L24zmMGFt0ppAXq39YVuZNe5WpQybfDGqSqMphM3sIny3o2zPz+VzyL80zsLjXTa1DUjEZmknc/9ge+8B0ajiPxxW/55Gqe2F/IhfQT3fHV2f5y6X87x0s8OIftgiUFMvOLDEzHjVk2h9wuwPTjJ5OXJmH1HmtHgcHRjLia8MgJz7nEtSa4Glg1tosSWPP/GJfjDe38haqtbEMSI85iF0pXqQEfOQXR1knIkbCxJfif1AAE9dDARGPZO3JuZtThMkkN5qi+ntNaUEUNbMyVvz/d/Yy5imF59hYXJdeVNWPfTg5R2qcXdX55F+R8tTO/pFyQh1Bvz2OSw7kilsdZCO+Lp0TjRSG3gTVlklWbdrg/ynu6Z6x0vqWmpVy3OqkEGOxG3svRBSh5ER3Oobft/zmD3s2eNxiyp1xM6I7UhQIDPkls+QUkuOtMlJBvf8KdjSJ8dg/D4oX22XI7Ebj5PcitbEMgo8vRgG7JOVaKdqdSxY8ORNC4UXbWFsF84xueiBVZyw5m8NZU6BDupW5fssRNXVVWF1tZWxMXFGWS47mjNzS1AUzUqWs144VgLWrqsGB1hIaWI67TfSzdZNOttpE7uAr9ge57PMsLzD1DvMHFC7yTAerJWXR2t6GqqgcnLFya/kJ581CWPXTwq1KiJq2XEdSdvrJ7sxEmn89GNeZCn+RTK5gzGfrneogvfYhNpTvxIX+A3RBHu/t6QfkHkjyQd0B8+UY/Kwga8xA5zqXsSvrChsnOHSo2oYAexjuNYJDoo+s1qQ4NAGB22VR+dhP9+m4TudPg3/OEY3v29hUMzmKuu2kpnbRdr4SQKNz7WH+Ek+M09VQErv5+iOCHWnnMY9rpSOm/+7Ep1nUizSwDoYoPo0be8rq4Ojz/+OAulzfjmN78Jf3/3Ek92EPyKw5vRsvtfMPFNowU+WGkbjy0R9+LuWZMRxq5UVzLpdnqEdXLCTXVs0wVkHShhYfVG4wEykGmS9pMb0LrvSThqitlaHgTb6AXwXfRhFrYGuRI8PRpLUrgPZrM2bsOpGkPBYTX1VBP5O080icJJ8X0IRc4XsltuqExoXbaTvkAKqIPJUzZ3ZBBuYdOQ1QNoXsQxvucrs/Cvr+/gy1UD69D24pHfrhgSIuVayss9/b09qKU6iT+jzkLoG52i6fOh2vfO6wqly6ltBTi8PhcHXj6PCUsSXaKj+SBr3yQbIVKEi/idLHslC03sYA+hQzdm/kWe0o7M7ZAXeSs7Uq0jJg41lHr9GyDQI69l69atSExMRHt7O+x2u1sBe9GB24SO57+OUHstumy+CGPef0RzJib4VSN5xF9ccj7SUfhR8g299sdz2PzX46gqrsO/+eAoY1Hqqo9NhsgD9ae1nViPpme/ga7WRpDkCKbqfHTkHYajrgz+d/8vTFb37HITv2EVaSEO5jZAuJE2nK7GRxYxmtyf4LnAuaoYGRLyaJbC8YYchxFMjwyFvXysktQupWwW4jZifVYpyYYzipvQSCqfB2dGs0N4KEbVv9eccVsq8skft/FPJ5C5pxiv/PwwHvyfeYNau2pnQfoLPz6A/JOVBgHxat4TxpFoVm3oERBuRuH9lE7V6qIGrP/tUUP2bCg7hds6u7CR9z6Jxo1PCMQkUov8jY5mJ/dR6tRoqgkFoauhDJ1Fpw0ArQkTYA50nQzV0K+q642g205cTk4OysrKsHIlHYrXXnO9mdxkRO0trWjZ+U/DgbN7X4woiWNnstkQW3kQzf/5NLrCXJNh25DrSnIgcHYV3tg9ipGNQLz22xMoPlOMtYvzEBNcgbZOGx/cfX0ydqEjYxvQ2WZE4Ayj2LHJbEP78fXwmXIrrMLa7aaWTtqY6clBBgHwAXJ+3TopAnG8iXmS7XomExUFDQgK88Wih8YNqkPhxLG8sROvs4FE0rmSRjUeBhYL2vmgEOwXMt2XEOoZuN/2qRkoo87y8TfzsIv1aCPGR2A+mx8Gy7b8/RQOrT9vlLbMvj0dKx+ePFiX1ut0AwGplxTaked/vN+Q5BKZxTu/QBH5IbJjvDecLW0hB6oZK1k+VJ9ZhZIL9Yaih6iTCP1Sh6RSqwtgJqWIz9hFQzRSvWx3EeiWEycdbtu2bcPixYsRGRkJh8NBnbVufdQYR2dnJ5qamro7pv4/zswHSGUBLDUX4LBdSS/RRQ4cE582llOvoqWzvf+v3U9nFLWTmeR6CpudhlePLyfvWSwObixD6YEK3D75TfLa5TFCauLaSFlzb80Esx/TMAZGb5/HZCWFQnMtGvNPwxQ7HbC7Lk43mrlwN0+LtWB3tokyM3ZszajEXRMCYOf+lsiVO5u89VflN+HQqzno4ttJysxwxIz3Q309eaAGaW7iSHiT5f1CaSvqmu2w8b8vNxvHWNtiR3FlLaK8fdHKqIDcW9zZLDYLVn5qDPIzy1Fd0IRXfnEIoQm+SJ4ehg5GHS/7GvXbNKUUWRj2z+4owxustbIzqhIzKgjLHh1FzedG2Jvl9VTNFRCQtZp0G+/Vb4Qg91CVIYE3am4UEieHQqKog7X9JfLtIH/IFr5ESTQuNsiMMUF27HgzFy0N7QiL90fs5GA0NNTDkbWHRXEtDGokojEkDaZ6Nv7JTUVtQBDw8fGBt3fvM1zd8sR27tyJwsJCBAUF4dy5c2hsbERJSQmSk5Nh4Ru2O5jD4g27lenBzmreV6+ctjilXUGxsPq4bo2fPOo6OfJR4S34QOwerD+xBEdPR6CwaRSePDkCK8btxNzJRTzCzJtD7x6MXfyidjUSH/55RdOKfIFtPozOhRjPpL7G+4Zqv8jYx5EHcAoJf/ecb8B2NjjMGmFDdKD7R4WEUuLw+hyUs97Flx3O8+8fzTXkjbt3W6HHSyTqJtK5WVrXhp3Zdejk08nrqpyp7Bs5Zhvr5CJ8TYgN9TEeYlJg7a5m72QjAZtm7v3qLDzxzT2oYX2a1LB++NeLEcxOcscAzM3MKErp+Vo8/6P9aCQvXFCEn1EnG870WGeHe5W5uOu6d3fcsr/9eH+RtOo/vrALDewIfeWXh/Dwr5f0eynMjcYk94Jj7Mw/TuUaCQisnBwBW10rMijJJ/f61GnRiBwRgK6WanTmHjTu8ZaU6TAFRgzEe0h34RsWx/X1RbZbTpyNKceYmBhs2bKFb/b1KC8vx9GjRxEfH98tJ06idsHBQ1to6+fnh+KRc9B55N+wMHTcxdZpMVNHM1psIfB54FcIHjnODTYN2bXNnfgwo24b/paNTX85jto6K14+sgz1aYm8WUxHYIg3utgV2OMwgL0Djeu+i7bDL7KJge3wjGAa5xDnzuIFv6BQ2AKE4sS9aU7WTjTjRGETyhvtOF5uwn0JQ7s3+2PTNdW0I2Mra9DoVKTOiMfEhSn0uwfvBau+1YEddIo3nalDCfn45MYk/oQ0McgDxHgJEYeGvz9Y2Il8RgiXjjVjKRU1wgIGb5z9gfW1zjFjbTrKcxrI8XgEJZn12PanbLzn+wuYzu7/K9rbu7D59wdRkdtoRORu/fRUTFqScvFC7v3V7H+wXOSMExcFYsEDFXjjj8dw4WgtTr5eiiXvH7znjXz/DhQ3sFPcgUQSEq8cH4miHQWo4n1QXgAnLUtGUGAg7KXHUVdXzPu9FT6kFvEODnERBHUY10OgW07c3LlzIT9iEoGrra3FbbfdBgkDuotJDUDoykdQw0J9r7w9YJUXw8vM//tGwLzo4wgdM8OtIkySzb71U1PJxh6CF1lvUXahEZv+cwEVpTBUHiLienc391v5aTYxlBpvY11ML5tYE0f1dGJjQtObv0VgBKOvMe4tpD0+zt8g/D2U18DUag1Wjg1BsG+3vgouu933PJ+JAta3+PKtf+FDYwfNgRPNYYmsibRZLoW/JfLnyxrO0ex0kyaG3MpWOnMOowZnRJg3QohzNhVS8qub8Z89LRTfrsZykjEvJUdjYD836Qz2Yq16ZDLXoBqHXzuP3VyPmPQgEu72P0nq+t8dxuHXzxuOsXRALn7v4DkDg42pJ11vxcMTDSWePMqibeTL9+i5sYMmyZVJSckTBfVGzdvs1GAEsdThhddzmDW18xkSjLSZsQbUrayJ7mqjYxeeBGuKCt67w/7r8ZPL19cXCxcudEuOuKCoeFg/+Cs0HH0dfq2ldONsMCcxDTGaYWN3WK1rjHHamhREJgbimcf2ImtfCY6+ns2UWrVBMzBmXlyPZ2Whkxb0/t+ijTQj4syZyRNkr7yA1kPPGx1LDU9/GUHv/TW/5Bf5hNzRRB935bgwnGa35AUKPu9i+u/WIZBa6y/sGiids39dNlNpJOtcED8oNAZtrOcR3cU3TlXjPJ23dqbwvfhgGBPthzUTwti8EEIVlA7sI51LXUsnAhkVnEWKl2hyrO09f/FzGaQ5yK1oxT+rS8jdx27r8aFYwM+JE+iOZmV93H1Ma5ZTaUW4+kQIPWFMRK++h9eb/zHy/21mM4PUvkqn4x2f573LTfk63XGN+zLmwHBfgwT471/aZvALCq/fh366lO/IA7/fN7EWTr6HUXzJWzUxDI0VzTh/uIxJFgdETi4igalUMhJ0XjjK39lhjR0FS+Rb0d2+TFo/O+AI9NiJCwkJMZw4dzW/wCD4LXrQGL6nKGiOGBeBR3+70hC93vNCNgrPVOEvn99s6Dwufk/P39KF3Ndn9kWMDJN0Kpsb2vb+F3Zx5J76EgLf/TOYQ92XymBGciDGMVokCg6bM2roPAS7bTTuxOYLBqGo0M3MuiN9QHUapX7tAOvuNogTVtJkOG8MsjGy6cu6zDDM51t9wFsRNdGtvZZzPJeRgKl88dhDZ07oDrLJb3aWP8Igv5UKKqvpzM0eGQwfN3TmpC5NCLn/9OnNaKhqwbOP7cHH/7gaQhXUVyth1FjoRJpJ1xIWF4gHKWwfHOkpd7G+ouMen5+yKpnfUUpy/ZeSXBvyMHHZecy+c2AluTL5snSI31nJpsj3M4YqDfveyCFdVQN8qJs6kfx1Yp0Fx2EvZ6ezzZtaqe77jHePndB/o+yxE9d/l9Yz9ScC/iwSf8/3F5LnJwSv/+4o6pmyepYF1qWUV7n98zNYz9aH4n0W9vjf+lWY2knTcvBZgzeukVxyAQ/9BOagqP6cxqCdy4uexzKm8CQal8do3AHyx62k3Iy7mXSW7X7mLNpbO5FOcugpK5IGbAqSft5ATVapJ2xhwZtENJNJmLyCuC1hbVtgDxQCxEET/IWAWRohNvK8eVVtOFXUhHPlzdjKFO2aCeF05oLcLko+em4cRdCn4Pkf7mdErtp4ufrg430rZG+pbzcIhUtzaknfaKP01zQkTVT+rgHb7AN0YomarmHaPWt/MZtTGJH+/TGMmhWHUL5QDpRtY6lDDQm3I/hStZwk51LzcHpXEdr5u7hRYYwUv0Xwm3sIXWQhMAfHwJaqKg0DtR79fV514vob0SE8n9wgVn5kEqKSg4039tKcGmz+5ymU5dXxrX0eHbzeF/ALya//nd9Gl70NrYdfQse5vWh87i1Hzk1luaYnBRpOiLCXbz9bwxSg+0V/5G0+70Q5vFlrtuDBMfDti7N+nb17io7uGyercIR1l42UdZKm03g2z0gd2wrWs4Xxzb635s+onaRf56UGGbJoWxiJK2B6+ChVEGRdJrNjTlQeJjPd40629P0TUEgHTuTyjr6Ra5Au90XLdD1fzM6wnkqK0GWd598/dEoc7rQOrjjWiMQgrH5kCp741k4U8b4jNDEPDRBJdEF1m5FtkHKhabzfJfJ7W81UbvZBSmrxeSElN4HhpLeg0H1H9h6jIcmSMAlm0ououQcC6sS5xzr1aJSTGY2Joe7q09/dg9PsQDq9vQC/L74o1zXxLW28Hp3QeTAVHPzv+g47X1vRfmqjIc3S9Py3EHDv96mv2nsHsVdj6YcPiQMhKcAcFt9LykHqtySi5C4mPGQHXj7HKJwdKZMjMXV1cr8O/Ryjua/TeZP0qdTTCKNidKANi4iRNCPEkbewvyyITqhoF89no444c1v5U8ro0x4S6Z5k5E/S32sYRRjLphR3MHG27iHtSAmpQHKOkM+NXYmxpCKZTGH6ntpelkhs/ddpOFiHKISsd31RC857iqGrHT/7rnTjvnzotRzsezHbuC9PWDKi34cptXBllNQK5YvWGirWiJ3ZU4R61sR583eyn8Q6i88ylXrOYCSwjZxppFTV3AMBdeLcY516PErRTvzIL5fh5Z8dws6nMyH1NH//4jaseXQyVjzMNy1hvu2FmcjiHXDf99FAVYf2jK1oP7EBTRKlu/cxmOjkuZvNY32WqAiIEyd/zmVEyHsQCo37A6czOwtxng6CFEZLnY1fUP/ceCW9vIm1aruZ7qluEucNCGftzLw0RhBEc5YUBQNlkXQSH5wZhUWMim48U4Md2bWGTJp0wEp0bg6jybewMDslwvX3mhSy3/+N2fjjJ9+krmkTXmB6NZYvVxIp767ln66knNchI10elRSM+9l57sO0mJp7I2BlOcHaT00zHPxq1pZKpDVlShS1d/vnOyzoFNW0GU1EQusjWYf0aF+WN3fhxOZ8tPGlbCSvlzbzokpRR/ZuplLrKLEVBZt2pbrV5lInzq2Wq2eDlYe6aDnGUeboVfJX1ZY3Yd1PDxqEsHd9eSYCWEfXG5PGh4D7f4iGJ7+EzqxdaDv2CgnBvKit+h1qq/ah9q43g+njZ6RrUqI/EnUS6otjBY1GnZarWwfTmtufOIMWFrknTojsl+Loktp2Q1N2F+soK+k4sXENIX4WzCQetzKlOZLktYNlsXyYfWBeDFO2rPFkE8W+txxKGd8hygRJgfZqRhYSKPjuypY6XTpIZ+Cp7+xBCevZnnlsHz7yi2XdcsQamVZ+9vv7jE5GSZNLJD2eMk5qnoFAwpgwLP/wRKP0JYedopv/dgJ3fKH/oqw72T1eziic1Ko6Mwwl/G4XUO/Xwprg1OnRF58BfCGXOucuKvHYokYaeqlq7oOAOnHus1a9GqnUPSxih2o0IwDPfG8vv8CUfnkmA2W5tXiAdXIjxvXuoSCiyIF05Br/+3neAA6RguQ5RuL84X/bVw29VXeyRaOC2aFabdCNSARqBt9apWjflS1jVyGyD5SwE9VCrrA0BPXBwSpnc4R0hRopTCHq5cQl1Sw4rGTkbSIleYbKJOr3yKI4LBkVwshcNfYz5S0O5ivHqy6mv5miFEcvrh8jGP09V6lhE8qRbUyJntqWTyH0I0y13rhwXCImL/3sIGmDio2o+bIPTMBU0gmpeRYCi949lnuiABlMce54MhPjF4+gc9V3De8KOm+7GMWWGreJCf4Qbkyxs9xP1UWN7Eq1YcrKZON3neU5ZB04Y3CCWtPIB0teUDX3QUBXy33Wqk8jHT0nDh//w0o8x5TO8U15xpf5Dx/fhLu/Mgszbh3Zq3ObQ+Pg/9DjaHzic+jMP4bW3f8yain81n65V+cbqg9JYb4U6f97bylOsjtSCoGF08xVTaR8Drx0Di2N7YhOCcGMtam9GqrUuV1sJqhBIQugHTyxr5cFk9hEsFaaCdhU4CqurJAzy8+yMU147USVETEtl47Nw+VM+9ZiMZ05SfWGUI3FFe2Oz043aGDke7ft32cwYnwEZt52/XWTEoi9z2cbU5F6qVtYBqHmeQh4+7HT+LPTUEii7jrWqQl33Mf/sLrPklxb2DBRyHRqAKNw0uUtL6WdjN7LS4RwDEp9ZtLEi8wCnYzCORoqYPIOgFf6fM8D2cNn5Jp3PA8HfaimFzEiCB/+6RLeKI5iyz9PoyK/Hv/55g4jKrf6Y5OZEe25/JGFpL8BD/yIqdUvwF7M9N6Ovxk6q6L84E62mMX6UhOXzxvfNkalZiQHGV2YrmgSgTu9o9DQIRVHICy+Z52borIgBMeSmpToo3C/+dhM1JW92Ak6k00EwuzuiiYRBfk5REdbuOpOUAuykJJjTx8sM+p/hO5EHDpJk7uSCQXQg/9vHn7/6EZUMB287vGDRn1cArtWrzbpHHTWwYkuq/DBefFhr+aZCIhawvz7RmPDn09Q0aHYKJNYwTRrb62eL2d7RL+Y3+uxsX6Y8FYkvZQk1BdOVhoaeGPnx1PdRfYU5fGydjKV2kGC37GwRKf19rL6uSFCQJ24IQJ+qC4rHFN3f3kWIzjBeOmnh4yC61d/edgQ1L7v63MQHNVz8lCR4RJHrvGJL6Cz4jxaNv+Ob3V+8F308FBNs8fXDWc0Tkhoiw5X4FRxIxsdmgwyYFczOzsUd/z3DESlQdZw/v3dl0ATlYW97PZ841QVCXZbDOeN2VjjJi9qCXPZNODtJgS7kuoV2pGDbxEPn2FxuHQZ/31XKeliajmfcNbNkdi7Fy8mA7XmUgN15xdn4N9f24FyOnKisvLo71de0ZAi38fnfrAXdSQ+9mP3r9TBCSWFmmcjsJIv0ZJSvXCygoocJw3llXhyuPXGhHexoKaVe/+iNrHoF4udJCl4I38vDTdj5sYbv7NX5FGJ5wz/ywRr8hSYfHWv9QbzofyMOnFDif4QXnse3/xi00INGpKcY+WkqjiPyoIGQ64rZerFMLvUU3RX0scaPwEBD/7YUHOQG0PzGz9nu7oVvgs+MISz7NmlhTZDivpLajuMKI8rOnH5pypxhkSdEoWbsjIJkexYvJmJnum+nIvqCEJu3E5nzmo2YxS71aTmTfjxXMnZudl8nP9uY62YdBdL550hAcb5naNzKuoPeXTotjGlJClWOcbay27s7o6lu8fNuj0NRdRX3fin40ytlmDd/x3C/d+aw+C1GW1Ndjz/g4PIO15hqG5IJ3mfKIG6Oyg9bsgRCGTt563sVv37l7aSx60R65ktkQYYUw/TAdWUupP63k5+6ScyQu8sC2lndC5zbzGElkj0tlOnXbzHC9+no74cJv8QeEk9nJrbIaBOnNstWf8NWFraH/ndSjLL78Ph9bkGXcWfPrkFt319PPySOlBZVgUfHx+MGDECSUlJN3XorElTEXD3d9H4zNeou1qCljcozeXlB+9Z9/ffoAfwTFIcLw/8F45UGHQWQjsyhnVYrmR7X8hCI+WcgqlROufuG8v1SO3cMTrm68n1JrV+zW0OQyIriW/i4rAuY0NAT1QWXAmHy8cilDBS0yjqDqL0sJnUJEKTcpIF3NlUf5DI3BrSkoiz5wpp4rWfnGY4cie3FCAr4zze3NAMv3ArGko7kHu+mDQQJkxbMxIrPzrJVSHXcQ0AAiLJNf3WVOx6KtOoW97PutebfccvvmzDkLA7mFuPInaYF7G8QF7K5AXG6y26JGmskR8ro3Nj5sXzpYGP/i47OnIPkvezBbYYyvUlTRuAWekpBxoBdeIGGmEXP39ojD8+8OPFiGFUbtOfTqLLvxmnc4/AV+iF+DCRaFxubi4mT55s/NzMbKPmk/z3u2h45utwNFai8ZUfGPxxXlNuu9lHXeLfF48ONR76lXyj3ZFV61JOnHCGiUKDdI9OXZVyzXoqJ4gScROi3iOsHWtqdxgNCnEhXoazIymWqAFQdhjqBZQHl1ChzKMzt41rJ922+WzYOEgMTjPdOpX6paupDiFp2KEs+fNm88W9X50DR1ADgie2kAevBBX8vpmtJqTdZUbC+Ejc+YlZBg2E2vBCYO3Hp+D8oVIUs7N0A6O1IuEm9+gb2YtHK/DUgXJG3xwsjzAzSk/GJ0bwLi+NOMsonLz8SW2mk1TYUVNMvdQT3HhmWFNmweTTd33f4bVarjFbdeJcYx2GdBTyVnbbp6dRpDsAJ88fQlAcayXaOaS3niF2ux0ZGRmIi4tDZOTN9RptY5cyIvc/aHzxf+nIVaHppe8atCNeE1cP6Ty7c3GR4RJetPWsG9vPFOQqKjokR/SOT6871+vJMXsp4VTLWj2Jwi1819hrRkZFTP6N0zXGW7l0n4rzFsUC5gXpIawTC0NssHvx+PUEH+exwk5/N9UfJE28iVE5oU+pEI1ZplxPMDo3PTGQ3bfUjBzCmsfgETYkL/dCfV0ro4MWqTwwzOJrR9IyG4Ji9dbcm7V3989I/eOqj07Gf/9nF7uZq6mtehTv+s6C605LpOnWHWOzgqnripKI5g4HS0KqMIV73USd45Nb2ZVqZxR+QgTiR1+steugA+eoZoOUzRe2dE2luuve0TuFu67cAIx70po4FL5mQ2tLG1/O3o4CWCwWtLS0oLq6ultOnAzNa9It8O9oRdO678DeWI0mOnQmplZtoxcOwMj795Qr2eF4gE5QBfnIRLbmo+QpG2qTTuITW/KNYYxjZ9nV/H75bHSQblOpDROVBUmxhAdYjfSwRJ8GUmVhqLG53vUjArzwrlnRWCQcc6xxFAUK4c/aziidUJSIXqtgMxTqDxUVlWioE03LK6NtjKOgqqKazl0Dv2uu8fLgquvrqeOacw8luSiXePDV85TkOodJy5IM/rhrWS5rP5tZ53a1yozUi2bxha6ZN4Jq1tFK45oouwjVlBcl7gwnjrKJQvRrjhunBL9uvJnUiXPjxevvoYsKQBdZ+iWFerl1MYEnDQ5ST9ET855+txHSa3zpMYOHqPG5byLgof+DLXVOT04z6MemsUNXuNKEP026H2+dFD7kZLK7nzmLSjpyASyAFvJYpwk5r5Dg7mT6pby+w/h1kK8Fs0iRspr8UNK8MNwtnrWOH1oQiyVMJUtzh1CR1DR3GkoQB/MaDPWHlYy4jggbRPUHfsXka3Z1Wle+Z6KUoTZ8ERBna+0np7LhjJJcrGV99ddHjGazq2X1Gum8Sd2u2Dv2EX8nzU/SGHGSL39NpE6SCL7TGZQMiXB7dvGGLwoN5uDY4Qu4m89cnTg3X8D+HL6frx9CQ0NRWFjIepy3ebaoiQxHuxnHXi5B3IeSKQHUfc4q71kPwtHGN0I2OdhrSwxHLvDB/2M7+/T+HHq/n2sZH/jygBfZGoncSERnqKz8Qh0O8a3cTkqQqcsSMYpv0xJtky40SRUW17UZDoGoLExNvEjU62RoH6oxu+J1U5gWf2RxnKHwIM0eh+igV5Iw+SWmo0QJYtHoYCN9Hhk48CnnsLAw+Pv7o76+Hjbb29+njo4OhIeHIyCgZ9x/roi3jqn3CAh/4PIPTsDzP6Ik19FyvPnXk4Z8m1gzX7b3CVUQX0gkAi9EvkLUfXnTTivrYKeSMshBSpGM/cXGvwvFjZOXsJMNDY7aYoPg16YEv71fKBf4pDpxLrAIrjIEeZhMnDgRdXV1aGhoMIYlb3PmLgvKDztwYHMWio414wFSIsSQqLS75rvwQ+jqaEPLxl/CUUmuIonIvfvnsMaN7e4pBv04kaqZyhrBnaQckQYHceqih6gZ4PBrueQVq0Moo3BjbxmJjWy8eI0dtAW8gZMtBH7eZoNOQIThp7EGRu3GCIxiREJ+hCj4DUbjpBO5RNQfDlUYPHqy1vIzkOoPgYGBmDBhAg4ePIj2dilAvWjSDT5+/Hj4+moEdbjv40XvHofT2wsNSqFdT2Zg1IIE1MYE4DWqlGSUNKP9LZLuiAAbGlrsRgOTM4sSyXvVfTOjUJlZiQJ2QlvYNDORL4ByPxfryGFXaks9zBEpzIzcWAJuuK+Dq89fnThXX6FBHl90dDSWLl2K7Oxsw5Hz9fNBoFc4alkY22W/wJtKPv5Q3EBi4Nnsckrs9uj8lj1q1F8IEXBn2Tk0Pv0VBNKRc1WGcHmrFQ61o6ydEmF4oa54iDfFwTaR4jn46jnYePO1ktz3map25OQUUULHAS/WvUxI8DOIbWezGUPqYNS6j4CkzCViKR28EtU4xdSVdLP+Z1+p4bhLI8gCplqD3qoh6v6Zu3dkeno6/Pz8jO7v1laSs/K/U1NTId9BNUVAJLnu+dx0lFOurZ6dpX///j4Ur01HfSejboy8j2RkWaiCFrCBJ7OkxeCCbOZ9IYqZEqMOlk1Mz2zMQytre0PZxCP1cGJdzbWkFjmELt7jbMyImIMG/76mq9t/CKgT139YesyZJNUze/aVb2cp/5eCV35xCHuezTI0IP/+pW0GOeUyhvy7ayLFJZxErTv/brCENz77dQS866cQ6S5XNHnAj4nxxQGmVfexjmrNEGhz7l93DiXE28ffC+XpEUZhvhffwMdQTmcNb9SisuDjJioLrrjGkoqSbmTp4pOO3teYZpWCcFF/+OvOEoNu5qKUF8lQ3+Lc6s95xMeTmZ8/aorAtRCoSSCZ9/QYmN/MQ8vZKngxEjdiZQqWcM8uYcd5hCGdBarNiOLMlWoLzSyzEGoRUXlJmRxlkPyKdRadJiF7jiF4b0tjfbKpZ7XOulKuhYA6ca61Hi47GmEUf/d3FyAuPQyv/uow6ikL9MKP9xtdT1KrIQX3NzXeLPzXftmIyLXu/rchvNxEYuCA9/zCJd8GJbIlBe+ni5uRX9VmNA/cPjniptPsjwPIBoD9Jyqx5ZlMUNYUzdH+qEsMRhq53lYy1Sf6oCKro9Y/CBjqD4y6zaBu7DY6bm9m1OB8eQsySOmSw70uztxaNrjMZMOIRjz7B3M9y/URyObeW8/v/0FGhzvTwhFyogLeFU0IOl6Ghx+dhAlTbk71lEWN5QqWCggv4Zh5cTC/xTvYcXYnKA8Cc9gIEvxO0WVwcwTUiXPzBRzs4S953zhE8UH2rIT2yWMkYs0ldOQeoEj3iGuIeb9jfOyS8Fv7FaNGru3gs6zNOGCkVgMefJyO3M1vTIM93+mcqyG4ziL4zexWXUyi3CBhOx8gk77gY7zxvk79w+yXshFY2AAHb77+FMlevTgey0hkO5C1WgM0Lbc5rUTbJI06hzgLr5zQtkjx+Ak+TOXBKjqzEgF1FfUHtwFWB9otBHL5wrCR3IZCFVTLDmqx6PhAjH5wLIr/dhwN5U04/O/TdOJungLN2F2E5vo2SvMFYcLSi9mOrtZGdPDluctBwfuY0bBEpnZrXHqQ6yIwcE8j152zjqyPCIxbmGAId4tcl3CXnd1XjD996k1DrHvKyuSbnl0UHPxv/wZTq9TxPL4eHWd3oOmFb8P/gR/B7Bdy088P5gFSd7aEjpsUwRfyYS70FKtZgzYQlsli5ddJ0HmQdXjtLLSPOVVBjByInhiJhz83DXGkPlEbHASkDu4WdvnOIc+eKD8I3UwRaRqkY/kM1TCmMv0qjSTSUKKmCPQVgaLaNrxJ501qMStZwyYWzD0oLxNrGAFOYabjP8X12Pl0Jg6+nosxbHKYfQPZPamllVSqUIykMR0b/tY+7Sw+w1RqLkzWtwh+hXpAza0RUCfOrZdv6AYfzSL7hynQ/Oovj2Ar3wzLcuvwjy9vw2qyja96ZLJBLHkjM/kEUJ7re2ikGkT7iTfQdnoT8LyVEbn/M0iBXclmMBqXGuVrPLy3n60z1A/8KfHUX3a+osVw3g6Q5kLevm2sfwvPq4GtjG/NTJmueO84deD6C+wenieUqah7pon6Q4hB/Cx0M2Xk5tvFSOkJRkllb4izN5rdrmqKQE8REIfN2FdM15dwX4kF+liMSK/sq8u1m9eyBjn7YClKztXgjT8cQ/rsWITFXfslIoc62EIQLvdhkdkS/kExoyu1oRImZj1safN6Olw93gURUCfOBRfFXYYk3VP3sktVCmZf/sVhVJc04pVfHkZpbi3u/vJshNzkwWbyCYL/Xf+P0Sa2yzMa13ZyA3mL/Pi7i+oOrmJSeya1ceeYTsuioPr+nAZDPL6vdoEi7W/yBr5LVBYkdUIup0gS085g+rZifR2Kqd86ggXJU9ek9PVS+vk+IhDJAvJ3z76o/iAPXXHi5AEsPH2i/jCHheYiOJ4SqdQgfYR6WHy8prnjUu1lMaNwdlIF+fM+Ix3Tt5Ckewr5Hq82iaateXQynvg2JblIffTGH4/h3deR5DrGrtR2yu7FsXY2jaUYFz24VnSc22NoL9sSJjKVmjwssPb0SaoT5+krPAjzm3f/aEQJ/cX39iKPBbj7X8w2Cmrv+8YcjLxJ7Ya0twc88EM0PvF5oz6u7dCLFJD0QcBd3zb0Vl3FJK0hyggZjMaJ4yW6nL0tcC9jqlSUA5wqC3JTlbdv6ZK8Z0406pme/is7Urv4Fj37jlT4kAdKzTUQSAil+sN8qj8wxS71cnvP1aOGxMui/nBI1B+4L8SZi6MzrqYIXI1AQ6sdO9ggJfeQPHZAO/jl9yaH2xQ6b2smhDICFwTrDaiC5jCFemJzPo68kcv7LCW5WOt2NdVTVVEDco+zFIMnT54UdSmVai/Pgb0k04jK2UbOAqy6Rz1hh6oT5wmr6AJzSJsRY9TJPcc6uWMb8nCOYf8/s07u7i/Pwqw70244QnNQtCHH1fDkFw3+orYDT8Nks7Jujo7c1XoyQzTXAKohzGd9VDZlbqRbUQhiZ9Hp6olVM7K2mV2PwjlXIm/forLAt29Jnazh27cUzctd/Tf/OWMIoydNiCR26T25hB47SAiI3uqjbDQR6hEhDD5MrjlR93iZ6g9SN7mUHcTC4RU1COoPgzRlvUwfEGhnqE2itxu4V86xfKKDX36ptx0X8zZV0I2cN+elpcP01s9MQ97xcmY+mvDar48iZUo0/C97acjaL12p9Xz58zJ0V50m2Y6u5nojlWodObMPs9GPuhIC6sS50mq4+VikPuPhny/D+t8dxZt/OYmq4kb851s7DRqSNR+fckl4+VrTNIcmIOC+76Pxv4zIFWWgdc9/Aa8A+K36LItz+6/+rC8QLxoVbEhdiei0RNKkuL070bg6pjV2spZqEx24fKZQxXnzZZRt4ltv39PoxDklc06QVDmLDrDFasFsOr9BdBbUXBeBsSRRHRPjz+5Vqj+QY05Sq2XUsH36YDk7DOsNiS+J2oX5azTVdVdx4EYmztoBdrZv4N7I4AtgGznbrGYzxlDTeAVLNCQ931OeR2EBWPL+8Xjppwepr1qOzf+gJNfnLkpyOXi9jJ2F6GjrRFRSGEaxbs4weydfkFkP19kKa2QKrCMmDdyk9cyDioA6cYMKt+dfTAppb//MdEQnB+PFxw9QwLkRr//+KGlIalg/NwcRCdeXhbJEpTEi91M0/PvT6Cw/j9Ztf4aZIX/fFZ90CeBCWQMockz/3FOKk6SckAf2TPKKXc9aOxxGynTj6RojetfBt3FvvklP4IP/FtJUSCTv8rdvuQHvf+kcWhraEU1Zsxm3afu/Syz8TQYhweLJdMilnkmoaN44SfUHvsBIzeN/9pUZNY8ruG+W8Ee5/dxhRfs+RtEyFiWQ9WxYEiWQFt4LJEsq+r0rxl503qT7tLe2lE6cUIic2VWI7f/JwITFIzByajSque/kJZApDIyeF3+Jv9Nefg720rMXCX5Hzjb+VPMMBHq/izxj/jqLAUJg1h1pBj/Rcz/Yh3OHSnGEbfHi0D3wrblIZer1emaJGWV0qDY+9SWjFb55y++ZWvWGz+KPDNBIe3baeXSupLC9gPJMWxiVu5YTJ2/fIoEjabazfPuWVIoXnbexjNgIB9lCRvTk71db9sESnN5RYNACSC3c9TrPejZiPXqwEJD+PyEDlgit8HxJzZys/zkqQFxg9HY7HXqpl5vHtHxPoy+DNQe9Tt8ROM262dcZeTuS34jGNrvhvEkt5VJGZEX9Q14G+2rSVHbrp6eh4EwlGviC+PLPjuDTf1mDzF3FqC1qho+vF8bOj79UjdJ54SgF7+ncefvDa9SCvl5eP+9CCHTLiWtpacGmTZtQVFRkiDUvXrwYU6ZMcaFp6FBcEQGRenn096sMPrn967KNpoc/sk7udob+Fz405rpDtiZOhr+kVunIOWqK0bzxV8bNx2fOu4Z8mqJLKBQjzx2uYLSlCb/ZUojEcB9MGxFoSOA4RdVP0WFtE41D3sDT2LEoqRNphgi8AVGwECc30jmMoaM4555RQz5XHUDvELBy0SXSIuoPe84zlcZojMh4ZVD5Q1QgRBHCqIFMDIKj7Dzqjm6CuaEU9pARCJ++GoHRCb27sH5qSBHILiNVEJ03SZ82tF4k6o0J9sZCKoGIDnMMRen700bNiuV9dCze+N1xlJWW4c3XdqKyqhaR000I9g7F6FlvybkxLNietYuNDqQvih5FvWq9t/TnOgz1ubrlxIkQenh4uCGMfubMGTz55JNISEhARMTgSBANNUh6/d4jIHJd7/vhIsRQ43Pjn0+illGJp7+zG6U5lLBi2vV6nZfSPRVw/4/pyH0R9royNL9G/jimVr1n3NP7wfTTJ6UGys9WZRQnywNZIjAbg6opPO1l6G7Wt/Dtm2V88va9nG/e8gZ+s7fvXNa2nN1XYrw5T1qWiEg+4NXcGwE/cgmuYHPDbKbNt7PbWMhc8+mkiyLHmQo77gzYgVW5v0RA7QX2s0hktgs1R5+B/cEfIiRtmntPfhiN3lBZkE5lOuxCHWLi/+T7LsL0Qk2UxJe8gbLlH5yEkrIi+KY3orwpD+ZwM0bfzcyFuQsOWxsva4O9pgidBScMCiNr0lSY/EMGajh63iFAoFtOXFRUFORHbMaMGUZUrqqqSp24IVgwd7yk1Mmt+fhUxKSFGVG58rw6bP77SVTwjVV45oQ4+FpmS597kRD4uW/CQYLKpld+SP44H3hNWjtkMLQzuvYm06itLFD25rwk6iIUIcIZVsZaNge7S+NCvbCI0TpJnUZ0kx5kz3NZqCfLeiibQ4SyRc1zEBD6mNsmRWAB+RQ3ZZBeIrsJbdUlmJzxOwR0XEA7o8zyIiA/gXXnUPvK/8Hro3+GX8D16y09Bx33nUkpyXklZb6LafIKfv+lDi6YzpvUugrXW2rkwDlvTtRMvu2IXdiF5ma6jl18c+QY2DeB5s56HDtyFAsWLoT9/F44GisNNRwvEbxX8ygEuuXEXT7jnBxyzZBlPzKy+zqXXdzdDgfZDNWGLQJS5zVlZRLC4v0MPrnsA6U4/mYeW+HrcD/r5MZRRkbuQHZhvbx0hzLBMm45fG5voSzXt9DVVI3GF/8XAZSMsY5byvQAj5U75yCZRMkKKL0lXHGWy6hP5OErDQr2ji7MTQ3EAzOimGK92FXqcNhvOEThbMo/XYljG3ON4yevTEQcI3fyHVPzDASM7mpuEtG8vX96BOakheLcxh2ILShAh82Pu/4im77sZJN3ILzLTqM19wh8JixGF/9JYnRyhGx12U9qQ4OAxahjNaGCVDKGFNvZGkO9w86FEaqgaSTolZrHSSOEqJcvd7w/OQbw/iT3jsKCIjQ2UMzexLFd3EbGPjFx15SUlqOptRUm6UoVwfu4JJgSp+m9ZWi2z3WvaqbX7VTU6M3QeuTEtXJDPPvss5g7dy7CwsK6fT2po6utre328XqgZyIgGzUo0Yr7vjcV2/+ajYPr8lDEG+HfPr8VC9+finnvSjOK+u3s5Lpk4iwlLYRl+edh2fILOMSRe+4b6Fj1dWDscoA3p8Fy5Mj6gYoqtuozjeqkBLl8pRikw6RoC8ItTSgvb7jpsGRqVqbcNv/rBOrIHSUKF+NXRqOmtgqd1ExVc0MEuKgm44HKHwtvr+wClAeoo4op06oCeJVnIKwyA3OqctFCp8BhuGhvWxc/52Plw//l/4fi7clojBgPr/gx6AxOgE9kIqNz5BK0d5BKgjVXxkuMg/ts8F5k3HBF+jRk+Y7KC5tE3Uvr2rD7QisOFdlRWEPnjVF36TaewBfT+byvjY/x4tq18bvfOihrYmHNRl1dnUHqayJh8OUmjkEn91Zl1jEE5x2DmfvQETsB1a3cLy1Vg3bP7BP4w+TDAQEB8Pfn97qX1iMn7t///jdiY2OxcuXKHl3O29sb0dHRPfqMHuy5CIQwrZr8gwQkpJ/Ca785gvoqNs78LhNN5Q7c+aWZ8A+7BpP4kg+glQ5P0/r/o/ZfOby2/BSBMQmwJg9u7ZDZtxORJ1pY29TKupO3H8Di2AUxbZYSG0HiTV909ytZcaEeOQcq+VB2YCwpASYvSO/TW5nn7hr3mpk4bp2Fp2HPP4rO4tPoLMkynLiujha00AmT+k7pujZyX84QivwXnTI7HbSu6gL4V+chIH8X2o75oiUgHj4JY9EZPRZdI6YiYuRYwCeQ6fzLP+1eGLnLaIUeRITpN51pQU4FeR7pNHnbKJEVE4C1E8OMDnWzdDC9ZYNZzSoBEsmOSaZLHDendXbaERUbjgh7JTpque/MNgROWgmvSK1jd5d9191xdsuJ6+zsNCJwsmEefvhhfch0F1097voI8O12+YcnGnxoL/xoPyNyFIF+IgPi1Dz4P/OMDs2rzWfeexmFaKcj9xOjWLfh6S8h8D2/hjVh/KAhHepvZWdhGP6yqwQtjJZJGlVSJlIrJzVwaVE9I+fd/dxZg109kOnXhe8aq9+tQVvJ/r2QOG320ix0yg/pHDrzj7OOs5wM+YyUdLYxMCdROSsLzxNhiUqFJW48ayBLYD71KgmjGRhhBE4cuA7mT1vG3UH/LAwtRSfRye5V/7YKhNZnw34iAx1mL1h8Q1AVGIUmRunCx8xCV2QaLDHpCAq8thh6/850+Jytjc7bvhzy/p2ugnSetrMO1ote85g4P6PbVGocu0P2PZCISXAkKSkJ2dnZhhMn2Q5x6CxWG8ampcJ65E9obW81OlKtCRMGcih67iFCoFtOXGFhIQ4ePIjk5GRINE6cuWnTpmH69OlDNGy9rKcgICSVUSQGfuaxPTi1pcAgr/ztxzbg3q/NZg1d8jsduQUfYnqqBc2bfwtHZT4an/4yAt/1Uz4UGZkYJJOOM28+eTedqUJ1Yyd8mVKRTrQ148N7pBJWWdCAAy+fM9IhE6mBmDbz+vx5gzQ1vUw3Eehqb4ajrpwO25GLP3S27BU5jBKLZqWkOe2sb/OHOTACokYiXYG2lOkUHU+hE0cZOtbJWdtaURk1Gh0nX0WgowGN1mCYp9+LmPkPcn9Z0dDUDDvP21WZi8rMAwioOAFTfSlLCmrg1VQOX6Zl7RnPo9ErAlY6hq105FpjJiNs9HTYgqPo7PmhWzf4bs55uBzWye/jfjpv0nF6htJW8oIm5XDygraa33HRxxUZPlcwSanOnMnsBdNx+fn56OjogKTnxo6fgBHhAag/f4Bbkd3yIybCHPKWeoMrDFzH0G8IdOs7LnQiP/jBDwznTaJyYr6+PYs49NuI9UQeh0AUSYEf/tkyvPLLQ9j55FmUkSj3n1/dbvy58mHefCRn5DS+aYqCQ1dHM1q2/41pqrNofOZrCHzfrxjleFsncCBBkjqZxSTsXZAWBLnhS31cb97ID75yDlWFDfAL9sLsu1gP6CI6sQOJnTufW8injWhbISNkF45RVYQOeEs9XyoaOS3WwrHuyOQbDGs0I2OxjHzEjYMteTrMdLCuxZDv7e2DuDUfgWP5+1m9ZEeAiZE6RlCciblAfz9g5ETjJ3DmHTB3tqMi5wy68g/TuctEXUEm/OrzENRZDUd+GRwX9vCFwh/N20LQEJQCv5FT4cuHd0fkKISOoNSSO4M/SGM/RoJeUVkQvsfmNka06KslhXtTqSWMPyEI6oPKwkBNwcvLy+BtnThxolGLJ46d3Es6zryJTmYs5GXCiyoNRp2mmsch0K3vtdVqhfz4+Ax8y7THIawT6hYCvhQKf+Bb8xCbGoZXfnEIteXNeOnnh1CWW4t7vkLOuLArXxp8V3+eaapOtO78O7VWT6Phv19A4Ht/aUQ9BsssrIORn95YbWkTDr7C6A1TNGkzYzF6blxvTqOfGSgEpKO+vhwiV9SRe+hierQqH/baYqNR4aKxBzAgDBa+PEg605YykxGPSbCEJfD34d0amewei+0iCeyNYjtG3TqPix49BeBPO//qVU6N3bpCVJ09BHPhUXjX5qCztgxedUWIbCyGo2g3ms3sfg2KQ01UEpskJiBk7Fz4Rieji+lYX9Z1qV1E4IyoLFBh5TClspqosiBf63hSBS0dHYpl5PrrLlXQUOIpztvl1i5ROKbzLUzh20bNH8qh6bUHEIFuOXEDeH09tSJwBQIL3zWGdXLBePq7e1DIdOXuZ86i9HwdHmKdXOKEt4typcbIbw0dOUZB2g48iw4+ZBue+boh2WVxg7TBAUbhikgA6xvojcXvGQurFEapDSkCXa0NjLKdQmfRGdiLz6CDBKldtSVGM0JXB+va2IwA/khK1Bo/zhARt8Ry7fin2T90UMcubp9XFNPv/PFLn2FE7+oqqPqQy07EyixU5RyHd0UmfNqrOYcc0NNDkG0Hug7/FeW+TKvFTUBQymS0RIzinxMvcdL17pVkUKferxfLJjm3cL3tz60nSbdkmUyIpPLK4lGhVFkJQSwVF9zRxHmTNL+YpPLNwVqq4Y7r2J0xqxPXHZT0mEFFQORkPvHHVUbDw5E3cqm9WoI/fHIT7vnyrCtE4U02HwTc/b8AH7BtR15C57m9aH7+Wwh46CdkJR/ch2pPAGqub8O+F1iozsLp9EXRGGtw5KkNNgJdTbWMrAmbPdOj5NLqLM1mnVuJQSzNdmE+z5kitfkaaXozo2u2+Amwps5i/VkaH4rstncREXFnPC0kMgYhkWvIN7cG3s0tsLJurjYvA63Z++FXnYm2ykLYGksR3J4N1Gah7dQ6OPwi0BQah4rQdKbcpiN45GTYGbnzDwm5YWRwsNeqv68n2scb2LCwmxq31U0XS4TC/G2Gru1qNi4lUmnGnU3KTOTHxGYaW/o8TaW682LeZOzqxHnw4rrz1MLjA/GBx5cgMikYW/55CtIE8J9v7kRxdg1u+QSLxJ2FxXyQ+t/9P8ZDt+3YK2jP3IHGZ78B/wd+aDCUu6Idfi2H0cVaeLG+ZuZtacySaRRuUNaJe0Tq2jryj8EudW3FZ5kuzWbKiXVt7HoWzjWTd4DRjCAdpLbEKbDQcbPEjTHq3NzFJJrm78fyA78kREeyTnTmGnYoklvuQia8q7JRn8P5M8oY0FQI77Z6oJCOXclx4OzLqLMGoT0sFR1J49AaOZZ1dXTsSBLbRWfAE3ZpCbneRP5sR1YdyqmwIhTLwb6ishBodJePIlejJ1hH9k6AzTfSzGDlPlbzXATUifPctXX7mXlRLP4u8sbFspV/3U8Pooqi8ut/e5R1clR5+OZcgxxXzES+LD86cg7WKrVnbEE7C3pNL/nB/57vGA9lV7KmWhKGklaknXU3o+fEYtotKa40PI8bi71cukZzWdN2DB15hw2uNiGMltSpcLQJs72JdW3WCKZIWddmSZx8sRmBDz9X2zt9WRwfLxt80tkkwR/f2dQfbqpDc3kB6rMOwK/iNBpLzsFMXjr/9ir4l1YypbyXNBUBsAeGoiRoBNrjpyN89AzYQxPhEz2S9XTulXitoMO2JbOWWsc1KKHKgvAj+3ubMT0p0Og4nRDfXWbHvqzC4HxWKG06c/azZrgd1lh5AUkfnAvrVYYEAXXihgR2vWhPEJh9V7rBG/fUd/bg/OFSHGIkSyJz91F3NZ2pVzGJugU8+GM0/vfz6Di7A21HXzbSXYYjJ7VMLmJHKa+Vf7ISXiQGXvjQWHhTa1GtnxBgpM3BWiC78KvlkfajJJNdnOdgry40HmhwdF7qILXExsNC3ixx2Cwx7CTlj8lFI7f9hM6l03iL/xUQDG/+hI6cYMh91VaUsZbuHNqLMg3HLqgmC2Y6u46aYviRLDag6ABaD3iRdDgObey8rYkeAyRMQXj6ZL5EBRk1na7YJtHQaqfzVoPNGTUoqGkjkTJVFui8TYjzx62TwjE10fP0aY3ygIo8lgL4wJoyy6CzUfNcBNSJ89y19aiZJU2MxCO/XYnnf7QPh9fnIPdYOf782S248wszMP8twXgpLg+47/sGd1wHO7PaDr3A6m+qJ9z+dT68L3YADqV1tNtx4CU+KFs7kTot2uCGU+sbAsKZZi9lWrQ4k9E2kuxSJUFq2rpaJUVKZQSpW6MTb40h7UcUI23kEzQcNzYmmEkH0iNiv74N1WU/LT5daCRr/PjjGDsfIYs/gM7GalRlH4dX6Qm0FGegnYoTAa3lCGnMIzfdOXRmbjIi4DX+kSQdHovg9GkwR49mo8cYBIcOfT2qdJjuYr3bJjYt5FS2kgrIYUhnTU4IgPA8zhkZ1OvOcpddyLcG1sluaumsNgdGwjZ6oasPV8fXRwTUiesjgPrxwUNA0qcf+PFixI8Kwxt/PA6h6XjqO7uN9Ortn53GOjnybIXGw//+H6Hhic8ZtBBte56AmcXpfmu/POQP7BNvXkDO0XJDL3XWHWksHnedCOHgrWLfriS8bELzYUTaqIxwMdKWD0ej6EHy3EKyS+dCGhHMYSMMgl1r0jRYmC61RAwOj2DfZji0n5ZomplEw7bQKCTMEnnFlRRR70AHU9Jd/Kk6exB+ZSQdJo2Jo5ER5RZy1dXSqct6BU22UKalk9DO+sGmmCmIoJqENSSadCtBGKxXKFFV2HP+IlHv2bImQ+fYRqbecbH+htLKXDYuiDPnqSap1I7z+43pSSpVOqnVPBsBdeI8e309bnbiAK35+BRDruv5H+5DeR5v2H86jtJzNbjvG3MM9QfhRQp86HFyx32OqbUzaNnxV97RbPAjt9xQWTvpC3Y9nYnWxg4kTYogua/WqXRrLVi8JJG2Tom0kQ9QatsMZYTWJohqghCYmqxedBSoWsCUqETYrIy2XXTckofcce/WHF38IH8fRjNHjDJ+gqatpvSdA1UXzgKMfHaVZ6Iy7xT863IR0NmIruIjcBQepqLBq/zeBaAxMAleyVPgmzgRnUI6nDSmV8TYN4NIatyEJuR1EvVmUGWhtb3LkMRLi/LBqnHhWDQqxBCr93SzV+YZZNQm4mFNnW2kVNU8GwF14jx7fT12dlNXJSOCqZFnv78PZ/eV4BijXJVkWX/gm3MwZj7rndhdGHDfD9H41JcpiZSNlm1/NpjLfZd8bEgwObuvGNkHS8nIb8Lce0aRvFhvrtdcCKZA7XXkO2P6rjPvILnaTsLBmjYHfyd8bWIm1viYSVZrjpX03WjYRjLiw/o2c0gcFRMGU358SLbSkF7UqK5iZCtqJGXu+CPkHF7VlTDXF6Mqixx1BYfgVcWSgZoSeDdVIrylAo6yg2jZ70OC4RjURCSSdHg8gkbNgl88X2SCyHMnTmIvTZy3E1Q9ee1k9UWVBZYsWEgNkxQhKgsk6uVPsAuqLPRyujf9WGf2HqqI1MEkqdSUGTc9Xg9wfwTUiXP/NRy2MxgxLgIf/fUKvPSTg9jzfBYKM6vw1y9sxW2fnobF72VEhg/2gAeYWmWzg4Mpt+aNvzDeTH3mv39QMRMpnL0cX1tTh9GgcS1N2EEd0CBdrKuTtUg57AitK4aZD2srU5smr3dSOEi3aCcpL6SezS7RNhLtitMGNiNIQ4KsmYm1jZIOtSRMNMh1jWgbfyR1qjZ0CMgDJDCMJNz88UuexG7f96O+pgqOvJMwV5F0+Dzr6spOw6eN3HuNheygOI+QvL3AsX+h0jsSiB2HoJGT0BQ+BiGpjNgFX6ynuzxm1lBbgwY2W5hb2GgRkoiIcbNhY8r3DLvVN5Au5BCj8VIDJ1JT8SxRWCIqC5TIiqQKzHCxLtaGirJI27FXDa1UqQG1JasTNxzWX5244bDKHjzHQEa03vPYAsM5ev13R8la34ynv7cHJTm1uPPzM5jGmYzA+3+Ahqe+AgdrqZpf/ykjCV7wmfPQoKFydk8xzuwqZJG9CTNvT0XECM93PBx1ZWh66bvoyN79VoOBN2xJk+F3+zeM1KeR9qHj1pFz0OBqc9QzYsNieuFqM0h2GTW1sLbKTMfNSq42G1NDlsiRRrG2NiMM2tbt0YWcpCNBoeEICl3CEsUl8F3YAUtTlaHz2pK1DwEkHW4qzSPpcAmCOy8A2XloP7uezng4mkOiUBmSCgvly0LSppB0eARaq4rQvv6HsJaeIhUkHTUvH5SnzMemxEexoZg6sSQ1NjOlHhnsgwUUppe6t5gAz0+bXr4w8j1qeukxRq8z+esuAyMTv0dddqqMkN9PzbMR0BX27PUdFrMzUehwxcMTEZceime+vxfF5ILa9q/TKGfDw31fn4O4UXMQcO930PjMN2BvrEDzaz82Ijve0+4ccHxEG3Una+Eaq1vJdxeK+Q+MHvBrDvkFGD1rfu1HaD8uD+eAix2ipPdop6KG/T+fhZmUFJ2lmQZXW5ddEnJ88DCiZqFygDhuUs8mslZC/WHUtam5JQLi1Pl5c+29YxAVRtmnyUvQwfSnIy8TNqZc63NPwH7hGAIaL8DGhhVTyRkEscYO5zeiYWsAWkO5F9rr+O8FjMZ6oYv1sCZHB6zZ6xFeZoct/COIILXJrGR/dpyGIjWOUV4HqWR4EYl+DweTl5+mF/6fIRcnLz6s12C5gdWQIWx587fwu2XoG7qGwzoM5RzViRtK9PXa/YrAuEUJ+FjMCjz7g73I2FmE09sLUEU+uXu+NhuTVyxls8NjqH/iq+QSq0XTOvLH2bzhNXFNv47h6pMVZlQhk5E4cTSnsI5PlCg83TrZiNCRtfviQ8UpTcU6KokK2Cki38mGBMbajLoda9RIoyHBmjTFYJYXjUctxvbcHSIcwZEp5Jjjj9+M24CWJrRUFqH27AH4VpxBK1U0UJkL/446+FceQZfND3Z2lztdsi4SNHd4B2FB215MKT2NLkbhQmvZTXvSjFq+MA03k25UkY+7ohaUkWzhhms7uRG+ix4mmXX4cINlWM1XnbhhtdyeP9k4Cld/9JfL8cqvjmDnkxkoobzVP7+6Dbd+egaWf3A5Qu7/H9Q+Q3UHvvk3rfuuwSHmNXbpgAGz478ZqK9sRlhsAGbf6T7STT0BpKuzgw8S1rWxK07qckSHtKujlVJNXoYw+5XWBe/xKwznWZpP5EeidWrDDwGjYs3XH17seg3mjzhqddXVJB3OQUtJNlqphxxYefoaO8gMc1c7OetIe8KIW2dtF9qHSeTtajCE//JaJNUSjZM6ua721mt8B4ffXvPkGasT58mrO0zn5hfsjQe/PRex5IR6+eeH6US14AWSBBefrcZdX78NoQ92oObJ/4WdhJiSijA9+DhsaXP6Ha284xU4vvmCUXA9ZXUyEsZ6zhux1LxJxM1OItjOC+RsIwWIOHKO1kbiKHU5ktqRXsa33TiDfJdRFd9Vn2W6dHy/460ndG8EZKeEhIWxSSIMAaNmoDggGi3Pfg5+5k5G3N5+VElKtcUSRPmwu8gNSVUC9552n0bvqC819KIlsi10O06T75qVPInQF6Q+4esOHx7O+98d1kfH2AcEFr17HCKTgunA7Uf+6UrytGWgPL8RDz52CxLeZUf1k981iGObnvs6/B/6icHk35+2f1026sqbERThh4UPMoXkxiYdpEL1IfqjQrRrL89howgJX/m2bxgjISY/cvSx+UA647o62kk6yi5ESaeKM0dJLCHq9Z7zLta6DYO6QDdea1cYurgjEePmoixpDuznN8HCmklJnZpZW9nR3IDORR9AwN1fHNYOnPG1o7PW8LePGI6c2ZelGsTIiIwzEu494x7+Til3XGE/D+QY1IkbSHT13EOOwFhyxj3yO6mT24/jm/KQtacAf/jIa7j36/Mx8dbPoun1X6KDdVpNz30TAXTkhJakP0xUJI6Tu06yPBOWJLC5YuiliHoyL3k4SLebEOwKYbJ0wElHaVdb80W+NjpmoklrCY6llNVo4jaJf1Jsm3VtFqpmSCqnefNv2dzwulGDKA8Y32l3wXfFp7RjricLMYyP9fH1Rdjd30T1a/6w5uyEn6MFjdZgmBa8D+ErPjLsHTjZGtI05H/X/8C04efsBN9rfDfNQZHwmfUgvOe+Wzu5h8H3R524YbDIw32KESOC8PDPl+LVXx7G1n+dQXlOFf7x5S1Y/chcLJnfBMveP6G1NIvdq19DwHt+Dmt039UURJ2hsrCeUTgfQ+jezMJ+V7au9hZys5XQcWNTAmV7Oum4GZG2+jIjqmbQfrAxwRxEGSU6aRdJdmdfJNkNirrYxHCZmahj63/HtwxOPlFWkGYF7TR15R3gmmMLjKHiw/sfRxdftGysg/Ox+MEWlagO3GXLJdHvwHf93JCfE15Fib4J8bXa8EBAnbjhsc7DfpZePlbc89XZiE0Pw0s/PYjqYrK8/+oQytZOxdpp70Hg+f+ymPoMGp/+CgLf/Ys+6WyW5dTh8HpKQzEKN35xItJmkF7BBU0IdQ2SXaoiGNE21rg5GioukuxK/RppWEzeAUx/JjDCNtlw2KyxYw0Reens7Y6JBJqaItAXBLxJ7IuYkcYpfPtyIk/+LF+wxJlTG34IqBM3/NZ8WM947j3piEoKxDOP7UXu8XLsezkHpbkTcfuMWzEy8FW0FR5H47Nf45vtz/g2G9srrI5syEElqU18A7wwjxJbrmJCdnxRW/EUlRSEZPc8a9rIrt/IujaJtMn/mPY0k6tNukYNp43Eq1ZytUlkTU0RUAQUAUXAtRBQJ8611kNHMwgIpE6PwaO/X4UX/+8ADr16HrnHKvCfyplYPbkTM8I3koB0n6G5GvCeX1AhgJJCPTBpZNj/4jnW8Tswel480mcNXRSui52i9rIs0n4cZhepRNqyDScOTG8aJLtSKE6nzRKZzGYE1rWxscMg2Y2iUgKJd9UUAUVAEVAEXBsBdeJce310dAOEQGiMPz74+BJEJQdj01+Oo7qoHusaZ6EszYZlaZvhe2GnEZGTZgezX0i3RyEaqSXnaiA0JwsfYqE/WeYHy6SuzV5GR431fZ0XjlI8/oQhNSZdodKtJtxRkLo2qWmjo2ZlXdslkl0hBHUS8w7WgPU6ioAioAgoAn1CQJ24PsGnH3ZnBMzUMr3tM9MQPTIY6x4/gEoKam8/PRXlNYG4bdJGRJ/bgObnfeB//4+6RUjbUNWCg4zsidSW1MFNWEyepgE0oxmBNWxGXRtJdu3C28YCcEdtCevxyF5PWg/hZTPTQZNCZwuF422SHo1OpSZpSrfr2gZwCnpqRUARUAQUgT4goE5cH8DTj3oGAjNvS0VMSrChu5q1rxRnClNQ23wvbp34JkZlvIqWdVb43vNDo9D/RnaMFCbF2TXw9rNizt3p7Eh9p15BXxFzVBcYtB+d7CLtzD9qdJM6mhlpa2syxONNVjK4k+DTyiJnaUCwyg9pP+RPjbT1FX39vCKgCCgCroWAOnGutR46miFCYMT4CDz6u1V4/of7sI8kvUWVYXjywN1YPiYccx2vwOJNea47Hrso5n4Na2loJ5lwJjra7Bg7Pw6TliX1y0yE4sNecYEEuwcpan0Mjoo8I9L2/9u7Dyi9i+pv4LPpgQQIhBYCAQREpIPSRECqIoIIomADkWpBX/s5r+j56+sRG8pfFFERBRVBRUBRAVFAepOmghCKlBBqElJ3k/f3GZj4y8Ozm91s39zhLNl9nqnfuXPvd+60hdXj8SUMW3HVNHy1dV88jFDtaxtZvUM6bMLkfPVHhEAgEAgEAoGhi0CQuKHbt9GyLiKw4iqj07v+367VNSQT0h++d3ua+XxL+v1de6fpM1dN+7RelCZWRG7Efie/9JzUkpnf8rsH0sN3PZ1Gjx2Rdjl00+q1m+Zkb2lVcqdaa/WUVVv1DmnrfyqPW+V1W/h0dWmwh64XzHvxotxqidTVHZ6uGj55ixe9bS/d17a0/OP7QCAQCAQCgaGDQJC4odOX0ZIeQMClvHsfvWU+8PCr6r3VaVNnpese2D5Nn7VqOmDe79IrquXK4ft8pirpvwcW5s9pzXvheOE22Gr1tPU+nffCLao8am3VEukSl+zOrC7YnfFUvqstX/1RlTls5UlpWOVtQ9jyJbsVgWsZv1p+NSFCIBAIBAKBwPKJQJdI3IwZM9L8+fPThAkT0vDhfXfqbvnsmmh1fyKw1V5T0prrr5TO+5/r0j+ufSzd+8SG6ZwX3pHeNOuP6bWjqqtHdv8/i6v398seTv+++YnqJOqwtNMhm6QxK45qv+rV1R5OjC7waHx1X1tb9XB8a3UNiGeqMmlzGGHUCqll3ITqAesp1enRbSovW+Vxq64A8bxVS0uMu/6Uiyg7EAgEAoGBhECnSdxNN92Urr/++jRixIjKkLSkww47LJO5CIHAUEVgrY0mpGP/d690YfXCg/1u055fNZ1/20HV8uo1aY/530stW+2TZs1rSddfeleaP7ctrb/FGmn7A15+uW8+MTp9at7T5gH5hS7Znf18vvoje9qGDasu2V25OoywwYv72tatXkdYf9tqyXRKp07FDlX8o12BQCAQCAQCHSPQKRL30EMPpcsvvzwdd9xxmbidffbZ6cILL0xHHnlk4BsIDGkExowflQ47eZe0ZnV69Xf/e2ua8czIdPl9e6RZ1zyZxj97RZoxuyWtuOXotOkKo9JWm01KK606KhO0/Hj81JvyG6Rt0x+oLtl9KKXqrrZFlactVaTN3XNeRhhRPRrv2o/hk1yyu2F1ufDqQxrPaFwgEAgEAoFAzyHQKRJ39913p8mTJy/2vO24447pvPPOSzNnzkzjx4/vudpEToHAAESgcpalPd67eZq0SeWJ++L11WGCWal1sw3Ss9XS6LBqS9rY6u330atVbxeOui/NvOCitHDqjaltRvUG6bxZ1Tuk8/LVHsPsa6tI2vC1Nqku2a0uAfYWafWT8kXCPX8VyQCEMaoUCAQCgUAg0MMIdIrETZ8+Pa2wwgqLix4zZkxauHBhmjdvXqdIXFtbW95LFyEQGKwItAxrSRvvtGY69AubpRtvuTaNaGlNi6r/hEXVC1bVpXDp8VkLqnvirk1rPVftdRu9Slo4dtW0aKW185Ufw6dUy6PVJbt5iXTFcam6Dzi1VuMizVvw4sW8i17MK0IgEAgEAoHA8oPAyJEj8za1ZQ2dSln2wS1rIUjcCy9Ul5FGCAQGMQLDXhieRq28II0c05bwr7r/rKVaJp0/fGyaP2WHNHarHSqP2xZpweqbpLZV1quuBBmTWitvXGtF1hZVpC3NeWoQoxBVDwQCgUAgEOgpBDjIep3ErbTSSumJJ55YXOfnnnsun05dccVqHakTYdSoUWnixK49JN6JbCNKINDnCAyf93waVpExzrc6iVtU/TVs9rNppZ0OTaM22zZ1cD61z+scBQYCgUAgEAgMTQQ65Ynbcsstk9Op//jHP9I666yTrr766rT99tunsWM7foZoaEIWrVqeEVhxwsS09hoT031PPJ9GjxlbUTeLqi3VdoEFaY3xY9Kakzt/R9zyjGO0PRAIBAKBQKD7CHSKxE2ZMiW97W1vyydUeeBe8YpXpH333bf7pUcOgcAgQ2BE9S7p1q/ZKc2/7pr02PRn0oLqZMPwhQvSxPErpO222zaNWWm1QdaiqG4gEAgEAoHAYEWgUyRO47baaqv8EyEQWN4RGL/6pLTb3m9MTzz6nzSvInEjFs5Pa0xcNY1dJd4qXd5lI9ofCAQCgUBfItBpEteXlYqyAoGBjsCIsePT5I1eNdCrGfULBAKBQCAQGMIIBIkbwp0bTQsEAoFAIBAIBAKBoYtAkLih27fRskAgEAgEAoFAIBAYwggEiRvCnRtNCwQCgUAgEAgEAoGhi0CQuKHbt9GyQCAQCAQCgUAgEBjCCASJG8KdG00LBAKBQCAQCAQCgaGLwIAkcZ7pmjNnTn5vdVH1puTo0aPTuHHjBkQveEf2r3/9a74nb/z48f1ep/KkWWtr9ZZnhZULmOvv3KrgnXfemfF87Wtf2yv1veyyy9Kqq65a3ZO2Xa/k391Mn3nmmZwFOersKyPdLbMz6fXXX/7yl7TxxhunyZMndyZJn8YhW+pYnoTxOznr7jN8ZPHSSy9NO+64Y5o0aVKftqmnC4OHJwVh5U3pxrHXWN5//vOfdNddd6W99947XXnllWm11VZL22yzzRLR7r///hznzW9+c76Xs7Ph8ccfT7fffnvac889k1dy+irMnTs3zZ49Oxe3yiqrpGHDhnWraOP15ptvTrvvvnun23HLLbdke7HTTjt1q+zuJjZGyDdMWlpa0oQJE5aa5XXXXZdxe9Wr/nva/fnnn0/XXHNNev3rX59t329/+9t8xdcGG2zQYX7eNPdTf8aJjOqTrvYLGdQX6tAYyNrdd9+d3vCGN3Q536UCUoswY8aMtGDBguTVKG+MdiWQCfU31toLsLniiisy9uutVz2ROAjDgCRxv//97/MLEeuvv37uwE022STtscceAwJeyprCMlgHQjjnnHPSww8/nEkAJYZIeU2jHv7973+np59+usdInPZ7hm3DDTfMxVBYyh5ogcFEMA1UYd68eVmOXv3qVw+IqpKhG264ISuogUjizj333HTjjTemz33uc2mNNdZIJjA+e+c735nWWmutZcZQu8lQ6ZdlzmgAJITHo48+mlZfffXE4Oy6664djrNp06Zl48z41cfN1KlTM8YmGXBZFh3z5JNP5td0GN2+InHac8YZZ6Q111wz60Q/LobXlmUNnnX829/+lrHsbLjnnnsyme5vEofYnHfeedl26UMk7sADD+xwwv/3v/89rbvuukuQuFmzZqWrrroqbbvttlkmEMPOjJdbb701k6v3vve9i6H72c9+lrbYYouXTRaWhi27QS7J02OPPZaJYelXugD5NGHorWCcIGIm3/TNPvvss9RJUr0ubJIx1lGAqXL0U5C4HuzJZ599Nm266abp8MMPf1muyIjBQWma+QoEXhqzYDNbAfkjdL4zqyEE9dkJhm7Qr7zyytmIFjJCYJ566qk8m6GY5ENR+d1MwL9HHHHE4tmH781KlF3eh1Wm/AlGb3vrlMOj0Wy2gWiZycOpPJFGGZiRaac2EnLf+4wCNlil0U4zScSHcRAH5oTeLBk5ev/7358HNY9BndQ2w9aAYlj0n9/XXnvtHpSYl2elz77//e+n3XbbbbGiUTZDWwK58HddlnxXZMzsuN5/ZIzMwFJ79S884AUjf8MVhkVW5FdmwtotHsyK7FLQ4krjMx5N8fVL3fusXN93xTPTXYAZ05kzZ6Y///nP6R3veEduMwzIjcmMOpJ7clI8D9rvd22i6H1vfKk/XMuYQAS1RT5Fzow72MijBP2oPLJDRjvj2ehuu7uSngwhZMbgHXfckUkuz2qRDbqB3iny7nfyo01vetObclHa/eMf/zjtvPPO6TWveU2etMqj7jmBpbFIVgs+8paPvMWVd+mPrrShO3HpE3195JFH5j4y5i666KJ09NFH52wRXPWiG8lF3RNel+miM405+dDL4sNG2voTj2SSbNb1PUzIUgnGtb5RnjFVgnKkLWNYWX7KeISnNi2rx17dyDDdaBx/+ctfTtdee23Wz/JVrr7Sl4J6Fw+uPtaGYquKV1f8t7/97UvIA31h3NDTdTmBWV3HKcPfdTJjDMNB2kL2i53zdyFqflcHcX/961/nuu+///75e32ujwqejeO2OzIl7YMPPph+97vfpU996lPZS6m99cC2qXNjuaVteABCX5cJ6elf2BeZgmHjA/R0Dl3daBf0jzL1mXQwgEnhFfKlI4ssdReDzqYfkJ44yh1IjQErt/xEeHQCgeJtufDCC7PBoxR22GGH3HlmZoiGJ8IeeeSRLKzvfve78+C8/vrr80yPcUEI5bPRRhtl5SMuRm4GYqlHOX7XYcgbQ8T7dcIJJ+Tq/fKXv8yCos5mCv794x//mAcw4ZB3bxqeOjGt48VFzKgQRMszxVX/05/+NLdvv/32W+xZoXDU9Te/+U0WckLKmIhnlkKRImZw5dL3hi5FqC/Mlikp5ciTZ0maRmzF/ec//5lnnPfdd19eFnjrW9+6BLHurNB2Jp72K6s+UzSwC8n/17/+lXh8tdvAfM973pPrrC3kA3mjdPUfGbJMZWYsvpkzg/uWt7wl/fznP8/GQvu9MQwrhgteZOqAAw7IMnrBBRfkd4cpefkiMUVZlpngAw88kN74xjfmWfx3v/vdbAgodPJ38cUXpw984AN9+l4x2bJtQH+RC2PIZ+TDODHDP+mkkzIm6mcMqr8xgWBon6VC2PzpT3/KY0IcM3veioMPPjjnhfiQB0oSNu973/vymDGOeAOkI8MHHXRQ9qQ20w2dkYneiAOPQqz1m9/L0uL555+fiyRfiJb6M7jqL95PfvKTLBMwYXyMV0aBjuJR++AHP5jxLjJJ75EH+NkioV8YaFgddthhvbqs1R522lLXQfqR7mUE9TmDqM2wsbpiYs7rTH4Qg2OOOSbr1F/96lfZ+GkjT7lxIn0hY3Q30qHNZM34pO+RZz91maBnjG1xkAx4WaF46KGHclryaqmQowBZNp5PPPHErONhTdbqnqyuyE0h09LAhQ3RFnrhzDPPzHZDf2kbuTAGlMvjDStkha7mgStyglieeuqp2b5svvnmeWnV6ot2bLbZZrn9hcjVyy/1Jmvle+1WNjmTv3bKn342xuktZRj3pXxlFTLObtKJdIH4xqhxq7/p0J6ydeqk7/UZEle2XdAFtmLQlcYJ23vIIYdkvc4DqT763TgRl26mT5Ar7Sabxpv6Skc3CQUfcnPvvffmONKLgwPY+iB/mLAd9DpMiqdV/niB/uhrb/CAJHFFqA1AAkiggPqHP/whEzHkguAYxBSlmbAlRAPgRz/6UXrlK1+ZBdOgoCQYZzMi7L4YFDNFgkGxIG8f/vCH84AXDj300KwsvvrVr6aPf/zjmZx88YtfzOSF0qWkdSaiwAipExbu80suuSTnodzOusC7oiQa41IUBiBDb1ATLkoDmfrIRz6SB+u3vvWtJZYUy9JnmXXCG0FmeKUhkBSrz3myKFYD+Yc//GFeKoKHmZ3BIegXuFJUBgryUbClcBh6faVeDBmD9e1vfzsrV4q5p0PxKJY9gBQXoqR/kVMEjCKwzGFJGOmwz1F8fYosUQLIXCFP2oWgWJZAsKSjRODE+FBgBj1yu9dee+X2kjkkl4KgjCg/Chrx8w4xIldmk4yw5Ql9+dGPfjSXf9ttt+UyGXdKqu6N6GnMmuVHThhlMq6PyVYJjdsKyH+Z1cMZFrwzArInr2OPPTb/S/mXfWTyMW6NOW80kwvtRYjhb/xp9ymnnJKN7kAicAULfUvHqC+8EDZt9lnxYH7jG9/IRgBGpQ30g/6n9Hm3GWm6i0GHD91Hh/GE0idlSdvnJgjkWPjCF76Q5auvllDrskK2tYNh05f0CKJNFxhzn//85/P40Of0r+U+JA4JZQB9h8wh+/QBw23SI8+tt94642G5Vr4mZOLyaiE5jCgPJrmgB/3QwSajVgeMVXrReIOXMYe0sSfsBrlWJhvAcCOP6sUQL2uAB+IgP22mU9mnsne5rFgYB/peKN4iskJHfuc738lEpL4HrKygsEFsk3FBjshHfUxok+9/8IMf5M/peKR0l112yTKF5CDSZNQkgr7RX2SQx5I+++Y3v5n1FjyNY3iUZd3iPfZ52YPIJiKZyLB9jD0RkH76mdNBnd/1rndlm0InImIf+9jHMj4mx74Xl+01saZj2Rg6C26CsWeM0a3sJP3P08d2w8nYgS3dIw4cOYfEkydZRsDpYbwAJvSVOPqR3OoL9ejrMCBJHAExG8CCBUrc4AIsgRGQBgMUgMXLpJPFRTgEHpSyVIosFC9Indkb1Ay0GYgBKE0pU768OQKjylAVN6rfzSbNggR1Kx4sCpyh913jpuWe7mBYKad4KLSf14gSKEsCBI5SFdS/cdZGsRjoZdOsOGVpmDLi0WSYpaNwDF7/lk3ujIqfxlkTbA0wikFa9ZC3eukXgt8bJE47lVeUJENAKZgpkRnKmoJlGCgen1FqvD4Gadnvpf4Uv3rCE0Erm7iL4jT4KTiB0qM0KJZyKAdGFClsGRvB72a0MJSerAv1fUU8B3BHosmzf/sjqCPj+ZWvfCVPnupLBfVlnPps3+d1uTfB4m07/fTTs7Eo7YWh/Bn1sh+leCuNJXgWktyZ/UD9gY8yGU1yQW4QBHVFRCj/Mua0D9EpbS8yWjCEQ1liK94t/yI+ZK94bYvnQFwGRFl+929/kTjECTnTFm02zn1Gl37ta1/LhBypMoFiaE1ytAuxoFfoZWNUoBe01zgs+ohMGFdlubGMI5+TR3q4bNy3zAa3kh/cySYyJW9lFaMLS98Z5wx8kb3u7JmVH1tCt9CrJjLy1d7G8VLIm3hlwqntfox57Sh6pqxO0VHaVD5v1J/0Dl2HEJZw1llnZR2kXuyAyaK6wK0s/8HHZKFsixC/Tg7JV9Gn8lV3OrPY4+Jx7KkxqH4mNVZ+OAJMiDkD2BhyVQguG42swVd9tV0wQSg2poxRuJUlajLETtLtxZPO1klftivIu5A0n9FF4sIYHuQGfjy/5Jg8FbvZUzh0Jp8BSeKKYNX3BNX3EZSGUVrlxJzP/F4MI8VWXw/3XWHc9c8bT+AVQRWfINeNR30Q+t33RfGWOhGOT3ziE5kcIA3SU169GQhmHauCSymztLEYlCK05d8yWBvbQsgRXJ43wk5BFlwal1Hkrdw6XqXcMuDKd3ArdekNXMpg5oFDQJTvh3IsM2F/MxKMAKVNIYnfqKjUr5BU3k1kV3/WT/qW9nDx8+opUxrksJRX5E9+ZaldHJ+XMovihJt9UWaB3PjiUBj9EdTNpIfBpeTL3rRiNMtSGszr+yLrY0xbPvnJT+YxYRmVIamTwTLO9EnBshgKGPjchG6gnmRF3AqRL3oILvXDPn4nf+15EhtPFJa+hnPj5mxeBl5xZTLiZLK/AvlguHii622jk3i0y/KnvXI89+KQaXiQC+mLUay3ucgEeSvjghwUHd+o75vZhJJWemNNnxjjPFIIN70m8NhZzuWV0pbuGGJtQTJ42euhTJ6bjZeiU+vxi6zUx1QhdR1t1hcfTnV7UHArOtoqgnrQe3DggbIahTTpDwSyXq50BcN6HcveWNg2kr6ekkfyzQvNO8kLp0/1Xwnqq3xtZL/q+qPISGl3Xbf73dgqOlgcRK2+n7DkLR48TKrLahcvnABLhJ1O7w757w5eA5LEAa8sv2kcgcOiGQaG1KCjHHyGcdvHwMggHeIC1u91UuJ3P9JaIvO9eAwTTwBXstljmc0WglZ3fxdSIh6hkZ4rvuyFMrj8qBcj77u6wHWno9pLS2lw35thCuplNmFZ0MzfbIQruO4FMpshrOLwSBFSM1f7AbiEtZPXiTdBMCOxVKQceBBk5fneICungCxZNMNWH8GlPvNsNuB6Eh+eK8swZnGWMwRtgkfZU2l2b6ZnOc8sVTthgmwgeIyNwSoNuaJYYQUzXgEzL+0oyqEs8VsGgj1jW5QqxWjJloeKV7ksDapDwaXIXCF5+gQp5N3o66VUeNXbhpjaE2gJS33LQR8EgsEwLgvO9XTaT/kaY8ivcWfWWvqfYaqPU1iS4bJ/jmKFOUKsL/oDh47kUt3LNowSr+gGy6J0BLnQ/5ZujKFihOs4kS/jktzBVxzY+bt4uhB5nhiGh1eA3oGX36UpB5UaDXBPjqvGvJRFhmFQPwRUdAw5RzaLAWboyLRtAvqSvuV145lGqugUJF//l3ZoIzyMN7JG3/PoyrPoO7+rB1JCZugrHmB9wPNP/hA4Y5/Mlf1W+oe+pNN4CRGG7gR90Eznl5PH+k8dtaF4q6Vhh3hpS9v1O/tRMNB+mCC+VnrgBDv/smn1iXIjySunoJFTEzL6Wj/wxJUDJT5TPt1HbwnFy+t3+Bj74sOz0YFRXx7uDn4lLa+YPtLecnjC0jeZMRFUF3WCo7bQDcYQLyPbS/6Krio2jLeYx46tp8vIZtm7ra30P0IGl2I35Q1n5fopK076h7yTw69//esZE1tC+iMMSBJnJsMoGOwGsA4y6M32rGMTNISB8Frf5/K0vm92b+28bJAVpwSgE2Adz9XMw0Rx6FD7kQSDucxgxCNAZeYkvbgURFkWVCekRdk6lBKipNWHUBOS173udb3arww9gYdVGYj2M9i/xM1MYdinUJZW/W4/CC+htJZhCTCFZ9DIh7CWU50+s7+CF8ShEYEL3XKf2SsMymCQDpbNsJW+KCQDAba9efcfw/ChD30oz54oPWVTpGab5ZAKgkeW1A1JoeDJhjSIL6XHAwQfOBiw8LQnQ57HH398xrAscTFWCCGvA4zEJy+MMNJDQZ999tl5pk4hFQ8buRTgAZfi8aVALOf2tie3PQFFGsoynr61JMZYllOQ9iaRMeOGN6rE1b7izWAwjSUz/bLHjgyWk4raqs3Fi8PYwqwYElsFjGdGTn/Vl4l6dWB1MnM6ppnnxt4hWwns6RFgV64BKgQeTkV24Fe8juW6CYZS3nQcmURI6B5GihyTQXLm73I/G0PU3mGnTjapS9H0rTHQWKaJm/oylvqvnOgn0yaLRabpAnrdPjZ6FEb0ej1P4xPhJSvyIUtwJSf+9i9Pujjq4TOEzDhVPzbBmDf+5At/y4e/+MUvMmmDsX5kvJXdncBG1O1Oycv4YR+K08CEp4x78k8OyAsCaF8V/WX8lZOQ+lUe8jbu7A2EK51cVlSUVdpSbwM5o9ukL/jpm3Lwi/wUvQV/ekuexnOZoLIH7Abb5goZ/VsftxwXPTnBoi/pZjxAv9PP+obO1H7yQmdoGxum3x3SIBsm0PoZZsW5wX6zifiDdMYN2yU/8sA+4hn6iJ5Rpr8t/XNssAGwFg9xZPt4luGlr7Qfxv0RBiSJQ0Ka3RHEWDhFVA+EqWygrn+uA+uXJ+qwEnQ8A9wYyqZNnxtUZU+ev+vpzahLcMKyHggf4e6rwDg0CzxMfhoDpdbeySuKpXhTSrpm17z4zib9EurtbQ/ben9STBRBbwfE2umvZoGybSY3lGSjEuZFoQz0rYFaPLKUQb3/GYpGeVC22TJloS6Ny2n1+IxVHRezScqh7Mvsbbwa82/EDvGsX/xJ+Te7QLpRJinJ4gkuZdSXm+oz2JK/05mFeFOoCGDZ39rXOHRUXv2wRz0eA9tskzPPT7lfsT6GGJ2yj0s+jb/X//Y9w9Xs7kxGui+DMeH6i8agr5p5JnhCGND6pbXITONYLHuT5Vs/7YekHHXUUS8rr75nVJ0crqqHckLU5NMYLltDypIrAsez2V0i0kzWSz3a08ntTfTrdqY+eRG/vTRIfuPBjLqMImbl+pc6Ps36yqS0bBOgLx1MKkEf1u1jTx1oKPnro2Z1oj/b0zv053HHHddU/KWzQuKnMdSxJR+Nl9bXrzOh4+miQpw5bXiAG+9m7csxOCBJXF8CEGUFAktDAImypGmmbPAiwgxJ/fRYR3mYaFDgzfaVdJROfJOH9vZRLa3eg/l7Jy8pS7N/mJvxlj1Mg7ldy3vdeTT0Y31/cV9gYkLHWNsuYVmNTPGkIJuMMG9KOaTWF/WJMgYPApa9rabwvpU7D+t3PPIqN06y+rJ1QeL6Eu0oa1AigES1N4vuTIPMEJdlU/7yTFoYWUsovXkjfGf6LuL0LAIdPYHUsyW9PDfev2ZeKN63vlgZ6O32Rf69gwBd1LgKUUriMa57jXunBh3nGiSuP1CPMgOBQCAQCAQCgUAgEOgmAkHiuglgJA8EAoFAIBAIBAKBQKA/EAgS1x+oR5mBQCAQCAQCgUAgEAh0E4Egcd0EMJIHAoHA8o2AE2pubbfp2Yn4cit8IyquLrCJfqBdk7J89160PhAY3AgEiRvc/Re1DwQCgX5EwH1j7uwqd+S558vF4/W7u0r13HM1kJ8P60cYo+hAIBBYRgSCxC0jcJEsEAgEAgGvcLgKpdxp5SqCcn2G+wVdPOrOSfdTuQ+tTuJcdeFSY9cTuELFZbXlDWcPdrvAtn7XpeeR3DkobvncU29ezXD6ub+e/QkpCAQCgf5DIEhc/2EfJQcCgcAgRwCh8vKL53pcjFqWUi2vuh0e2fLUEiInnqVXb4p66QIBcwehlxdcwO02+NNOOy1fFo7AeT3FfVTuofKMlCeFED4Ez4W2LiGVjzK8goBA9tfrHoO8G6P6gcCgRSBI3KDtuqh4IBAI9DcCbs7nifOEkyeJ3LKPhHleySWh5QUUcQR3kvG2eVLI7fJupveagGfeEDYXSHvdxN1TXgbhfXNHocfZXThdbuP3bJmLa91f5bZ4z8F57g6RbLaU2984RfmBQCDQOwgEiesdXCPXQCAQWE4QQNQQKd6w008/PZ100kn5bVjetBI87yRYakXaPFp/wQUX5M941BA+71TyxnnhQ/DKwJNPPpnf7fV6R3lnteSJDPLuIYTyFL+8T7ycQB/NDASWewSCxC33IhAABAKBwLIigFwhZp5vcurUUqclU2TKfrcS6uTKKVbxvZvLE1eeYxPf7zxwgt+9FuIdVkuls2bNWoLIeYPYm6EOTJS4jQ/RL2u7Il0gEAgMDgSCxA2OfopaBgKBwABEwLIpouWB8Pvuuy8va1ry5CWzRIqAPfXUU/nBd+QMERPHXjhv8drP5vsNN9wwv9+JrCFkAs+c067jxo3LRI2nz2PwPHeWWD0EzhMnSIfA+SxCIBAILD8IBIlbfvo6WhoIBAI9jMAOO+yQrr766kzgeNfsW7OvbY899siHHO69997sPUPSBMus9qwdccQReU+bAxAI3vrrr5/31tkXZ1lUcIihXF3i9Kt9cfJbb7318mnUddZZJ8e1bw4BtJcuQiAQCCxfCASJW776O1obCAQCPYgAEoV4NQsInp8SNt5448W/85rtu+++SyTjtdtxxx0Xf8Zb50ewZFsOSdQTOY0aJ1J7sEMjq0BgkCEQJG6QdVhUNxAIBAKBQCAQCAQCAQgEiQs5CAQCgUAgEAgEAoFAYBAiECRuEHZaVHngIPDMCwvSzQ/OTE/OXJDWGD8ybTtlfJo4bmSXK2hj+qWXXpqmT5+e01qis/dJsI/qN7/5TT7taJO7fVdu/xfsx3Ii8rDDDlt8NUUp/J577smb4Q844IC8v6pZuOqqq5J4TlbK06Z5ZdnX5USlPVnSl1cIutywLiRYcP8NqfXBm1JaVM0u190qjdzkdak6NdCFHF6M6uWDK6+8Mj300EP5hQR3qTkYIDgs4ILcRx55JB8E2H///fPeMuHOO+/M6Q466KDF2Ntv5v41y6bSugPOfrdm4Y477sj71pw6Lcug0lx22WXJ6w2uGXGa1B1wvR1cYeJJMO13ZYlLiZfl/jjpb7jhhixj2rLlllsmd+M5zOEAhhcrvEpBVnbffffFL0lor7difVaw12YHNS655JIsyzDdZ599XnZ1injSu3fPEvLmm2+eX6pwEEQgi/LZaKON0n777dfbUEb+gcCARiBI3IDunqjcQEbgwafnptOvfDQ9MH1Oria+MemO0emEPdZJr1xrhS5VHXlzCz+j58ThWWedlT7zmc9kw3vuuefmE40M3uWXX55v+D/66KMzuRDXHWGIVrlfTMGIH/Lw4IMPZmLYSOIY4Isvvji/AoBA+kHixHU3mYtokRxkri8I3JwrTk9z/npmWjQfli2pZcTINHr7Q9IKB3w2tQzvmppyr5rrNw455JBMMM4555z08Y9/PJMFxAI2SO/tt9+efvrTn+Z73W677bZM7hAfpK8QaPjBCrFDVOTbLCDD+gYJRtSQOKdRlY28OZiA+CDhvR28EOEFCe1Uph/12Xnnnaq6NK9/e3WShwMXBx54YCZeP/zhDzOOm266aSZwDma8/e1vz6TYCxMnnnhiPpl7/vnnZ9lDeguJQ7y+//3v59O7e+21V5arcoijXj4yrZ+kVw4SZ2wgx4J+OOOMM9KcOS+OuwiBwPKMQNe04/KMVLR9uUFgxpzWNGNuWxrWgRNoXuvC9KNrHk/3TpudVhw1HO/IHqSHnpmbfvy3x9P7d52UVhg1rF3MKjuUxo+t7gsbU6WtwpQpU/KPgEQUI4yQ8Kocfvjh+bZ/m+FPPfXUbDS9lckz8pOf/GTxtRSlQB4h3henFtu7AJZxdcN/PT2Dj8wxmj0RFs2dlRbOeLJDj9qCB25MsysSB8KWkWNfLHZha5p73blp2IRJadRme3ZclQrMljHj0rCV1sjxkIziLXMlh2tAiucHwfHEFVzEuemmmxIPGqwQEFiUe9rkhWjIzxUiHQV9Jz1SWNJPnTo1k8LPfvazPQFlevrRWWnBvNZMypqGSqZemPd8uuWOW7I3snhTxUWIRlfYvmKdTSt5aL86sp6w9rg0cvSLcol0FizJBDKIqCJXLhnec889M5Z+rr322vw8mIMWxxxzTPbolutS5EWm1anxQEdjbeR17LHHpl//+teL00tX+uCxxx7LBC5O4/aIWEUmgxyBIHGDvAOj+j2LwD2Pv5DOvOqx9Nhz89PI4e2zOIawrfrfuJeMXa5FFd3fPHQn/3ZqhyuBrW2L0lorj0rvf93aaYvJS3pnEA0nFZE2ng6eHH8Lrq3w93PPPZe22267TPDqj6qLM23atOyBOvLII5cwhHWkkBPXXjSmZywfffTRdN555+Xou+yySyY4yxLapj+QZv3q/6bWh++oPGtUTXM8WyrC1jKsIg1+Shg+svpsRJrzp28nXrqOwqK2BWnYuIlphX1PSqO3PXCJqJblLANaFoYLUlG8YcUTxPvofjXki9epTpJ43u66667sWeIVtbxXlrLrBSFx+qGeHtlQBo8p7xQSIv2yXMh7xVl3pT989/Y0f27V1irPZqGtetlr3T1a0uTdhldkaUQma6UtY8aOSvfcel+64KP/TG1zq8+bZIHs43eb7TI5Hf4/u6Txq71EqF8qjMcXGbb8jETxrNWx0L7iUZakPDVW6orQCt6UlRdCSL4ag+tTmqUv8WwhILsTJ05cFrGMNIHAkEIgSNyQ6s5oTHcRmFotjf7ridkW9Cpj2X5uPBY8cC854BZHLDRlZuUx6cjjsbCyls889kKa+tTcJUic2/4tc9qrhVAxhM08aeWzutdIJfxtGdVVFe4tExA/RtP+LgHhKJ62xvSMI4+SS2mRuTPPPDMdddRRi72EXcG37akHU+v916dFC+amRRUhay+0jKyW+EaPeznFq5jGorY5adGc55dS7KLU+ly1/+uhW5cgccibJT5PYiEblonrnqHGTBvJsO9dEYLE8mzZFwaPd77znZms6BtPa5Wl18b0iA4ckRLxeASl41Vt15vWpKX6+p/XPpqmTX0ujay8t+1NLVorctbaNqqS2xGprbUhI4mGL0yznp2TWmdXJK7Gl+sxW+cvTHf95eE08+ltX0biYAkLV6Ug/41YLq1NZBCO9rLB7qKLLspPihVSiAT6rqN8kEik2hu1EQKBQCBOp4YMBAJLILD7phPSSpWhfGFe9ZxSB8upL8xvS7+/45lq2XVB5bH7L9tbUHnYxlVLpIduv8aSXroGnJG4MSOHpW3W+68XjmGzF84eoHLzPq8RMlKeZkIU/I2YNQu8TfZ3MZY8eohbIRz+RQg68mAgjmVZ13Kt/UmMZvmsK+IycuPXpfHvOyMtfH5aRSDaYQ1Vhq3/vj7NvfOP1VJq5W2sLRUumj87jdx0tzTqVc0PEiyuC7ZcEZdRG++0RPV+/vOf5z1X5R4375IKdbJlz1d7WIrLG4pYCPA4+eST84W78LWPsKO0vHjIm/4U9K+DJohzV7xxSM2hn90xbbnnlNx/7a6mVq91zR/7XJo25/6Mo/9KWDC/Na2+1sT07i9tUBHj6tN2ZHth66K02rrj01obrrIElurtZYkPfvCD+XOeYZ5JOJQAj+IxbiYnsETUyv5MS7yIMSyQOW0rWLcnZzfeeGN+X3Zp8boipxE3EBjMCIQnbjD3XtS9xxHgXdt14yUNWHuFtFWvI/3shieqZdWFaYTTepURmlcZwQO2mpgO3nb1LtUNmXCAgZGzCb4EXh7LVsgYMmAzPkPphn/B0iqCh3wJ9m99+tOfzstdPreEhYBZem1mYEv68kA775v3PJFHhpVnsCxvdalBeMKIUWnUq/daarKFFUlrnXZfanus8hSOeomcLphT7YebnFbc/9Np+OobLDWPegQkycZ4S84nnHDC4lOZyCucbr311ryX6/7778/YImcC0oVIFILld3sPtd9n4iOAnsqqP25fym5Mr49439SDJ9DSuP5ZllOia2ywcvKztLAotaXLL5uVT3OqMwIIj5HVQZHX7Lx1WnutF5cquxIcYLD/zWGXQoSRV22xpxCh0kZYOTBSD/WlXy9TOABS3ptFhmG59957N60O/OvpEUYHcfRdXxy26QpGETcQ6C8EgsT1F/JR7qBH4MCtJ6axlTftyn89m56f3ZY9cLu9cuW036tX63LbkLSbb745bb311unss8/Ohm7nnXfOXgun8lzL4C1OhsyTTYyoKxc894SIWOpC1OwxYlxLQECQuEYCx0DaqyW9Jb9f/OIXeelQPPu/kDjLXza1b7PNNl1uT1cSDFtpzTT+iFPT7Mu/k1ofuaM6IFKR4kmvSmP3OK7LBE65iCjigTTwxsEMrpZVkQzt026eo4MPPjjvl7Mp3wEHZASu9rPZgI9o2KAPD985idmMwDklzGspjlOu0jtNrD8swSLGCNXb3va2Li2ldgVHcVvS8Cw36oLAI3C8kYjqshA4RJ6ckDfeOJMDV6SQC3Jp4vG9730vf+4z8spzi2zBAB7kizfUIRpE+LTTTsuEmWw6ydsY1N0BCQcolC+909cOikjX2/LYVcwjfiDQnwgEietP9KPsQY2Agw/7b7la2muzCdVepMqDU/09ekQHG+k6aK1rF0455ZRMOMo+tbKnDQGxVw3p8FlZwrPkyqBZpuLJa3b9hWs2mnktEIrG9Agcg2/DuSVb3rn6tSW92VnD19w4EzmnWR3zbRldLX02233fiUogWV/60pfy8iXPGcJaPEi8Y/b8IQdwLBjzciInPtMHvGUw4vXx2DxSLY/2rghx0pdHqjE9Iog8wpMnsCvLqJ1oatMo6mlPpDKLZ3FZPVfyctWNvEp+ZUKgPccff3w+tEFWyunRcugAFgV/sqkO9rLZmyiUd2EbG6EfTETq6eEm34997GPtXvOyrHhFukBgMCMQJG4w917UfUAggLiN7uZIYuT8NLs3SyORjUI4SqPrBKu9dGWZtBlQ7aVf2nUavQm6q0K6GyyZluXlZnkhB4172er41rFE5Oqezfbq1l568V2Z0R+hIww6Wx9ktqO77ciXOwzroRm+9e/bI28lTnvpO5LlzrYn4gUCQw2BbpqeoQZHtCcQCAQCgUAgEAgEAoHBgUCQuMHRT1HLQCAQCAQCgUAgEAgElkAgSFwIRCAQCAQCgUAgEAgEAoMQgSBxg7DTosqBQCAQCAQCgUAgEAgEiQsZCAQCgUAgEAgEAoFAYBAiECRuEHZaVDkQCAQCgUAgEAgEAoEgcSEDgUAgEAgEAoFAIBAIDEIEgsQNwk6LKgcCgUAgEAgEAoFAIBAkLmQgEAgEAoFAIBAIBAKBQYhAkLhB2GlR5UAgEAgEAoFAIBAIBILEhQwEAoFAIBAIBAKBQCAwCBHIJG5ZH0cehO2NKgcCgUAgEAgEAoFAIDCoESi8bYQHjmfPnp0WLlw4qBsUlQ8EAoFAIBAIBAKBQGB5QGDu3LnZAccT98gzzzyzbltb2/LQ7mhjIBAIBAKBQCAQCAQCgxqBlzxxz/5/Bzs4lPj6wBEAAAAASUVORK5CYII=" v:shapes="Chart_x0020_6" width="320" /></span></div>
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<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">We have also seen an increase in
graduate student and undergraduate student usage. The chart below shows the usage
by status as provided by the user. In 2016-2017, we had a significant increase
in the number of undergraduate students using the source, but a slight decrease
in faculty from 2014-2015. Some of these students work as research assistants for
faculty members, thereby downloading the data for faculty research. </span></div>
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<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-no-proof: yes;"><img border="0" height="146" 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" v:shapes="Chart_x0020_5" width="320" /></span></div>
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<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt; mso-margin-bottom-alt: auto; mso-margin-top-alt: auto; mso-outline-level: 2;">
<span style="color: black; font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-bidi-font-weight: bold; mso-fareast-font-family: "Times New Roman";">In addition, use is quite high in
comparison to other institutions in the same Carnegie Classification. The chart
and table below provide data for the comparison. </span><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">On average our
users are downloading datasets, data files, and studies more frequently than
other institutions in our Carnegie Category.<span style="mso-spacerun: yes;">
</span></span></div>
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<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%; mso-no-proof: yes;"><img border="0" height="180" 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" v:shapes="Chart_x0020_1" width="320" /></span></div>
<div style="border-image: none;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="mso-tab-count: 1;"> </span></span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">Specific
Resources</span></b></div>
<div style="border-image: none;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">ICPSR’s utilization
reports provide data for the top ten most frequently downloaded studies at UNCG
from July 1, 2016 to June 30, 2017. Below are the top five for that time
period.</span></div>
<div style="border-image: none;">
<br /></div>
<ol style="direction: ltr; list-style-type: decimal;">
<li style="font-family: "Times New Roman",serif; font-size: 12pt; font-style: normal; font-weight: normal;"><div style="border-image: none; font-family: "Calibri",sans-serif; font-size: 11pt; font-style: normal; font-weight: normal; line-height: 115%; margin-bottom: 0pt; margin-top: 0in; mso-list: l0 level1 lfo1;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/33641"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">Well
Elderly 2, Los Angeles, California, 2004-2008</span></span></a></div>
</li>
<li style="font-family: "Times New Roman",serif; font-size: 12pt; font-style: normal; font-weight: normal;"><div style="border-image: none; font-family: "Calibri",sans-serif; font-size: 11pt; font-style: normal; font-weight: normal; line-height: 115%; margin-bottom: 0pt; margin-top: 0in; mso-list: l0 level1 lfo1;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/21600"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">National
Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2008</span></span></a></div>
</li>
<li style="font-family: "Times New Roman",serif; font-size: 12pt; font-style: normal; font-weight: normal;"><div style="border-image: none; font-family: "Calibri",sans-serif; font-size: 11pt; font-style: normal; font-weight: normal; line-height: 115%; margin-bottom: 0pt; margin-top: 0in; mso-list: l0 level1 lfo1;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/31482"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">National
Ambulatory Medical Care Survey, 2009</span></span></a></div>
</li>
<li style="font-family: "Times New Roman",serif; font-size: 12pt; font-style: normal; font-weight: normal;"><div style="border-image: none; font-family: "Calibri",sans-serif; font-size: 11pt; font-style: normal; font-weight: normal; line-height: 115%; margin-bottom: 0pt; margin-top: 0in; mso-list: l0 level1 lfo1;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/30103"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">How
Couples Meet and Stay Together (HCMST), Wave 1 2009, Wave 2 2010, Wave 3 2011,
Wave 4 2013, Wave 5 2015, United States</span></span></a></div>
</li>
<li style="font-family: "Times New Roman",serif; font-size: 12pt; font-style: normal; font-weight: normal;"><div style="border-image: none; font-family: "Calibri",sans-serif; font-size: 11pt; font-style: normal; font-weight: normal; line-height: 115%; margin-bottom: 8pt; margin-top: 0in; mso-list: l0 level1 lfo1;">
<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/4248"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">ACTIVE
(Advanced Cognitive Training for Independent and Vital Elderly), 1999-2001</span></span></a></div>
</li>
</ol>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">In addition to dataset
downloads, ICPSR provides access to online analysis through the Survey
Documentation Analysis (SDA) system. This system allows users to analyze data
without dowlowding datasets or using statistical software packages. The primary
use of SDA in the past three years has been access to the </span><a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34808"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">SETUPS
studies</span></span></a><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">. Dr. Charles Prysby in Political Science is the main
PI for these studies and integrates their use into several political science
classes. </span><a href="https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies?sdaAvailable=true"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">SDA
is available for around 700 studies</span></span></a><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"> at ICPSR.</span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<b style="mso-bidi-font-weight: normal;"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">Summer
Program</span></b></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">ICPSR conducts several
short-term workshops around the country and two four-week quantitative research
programs at the University of Michigan. The utilization reports provide info on
who has attended for the past three years, but does not indicate which programs
they have attended. This year we had two attendees. The experience has been a
valuable one for those who attended. One faculty member from the School of
Education provided the following feedback:</span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt 0.5in;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">A
few years ago I attended an ICPSR workshop on the MET study dataset.<span style="mso-spacerun: yes;"> </span>The course was engaging and informative.<span style="mso-spacerun: yes;"> </span>The instructors were top-notch, and I had the
opportunity to network with other researchers interested in the same
dataset.<span style="mso-spacerun: yes;"> </span>From what I learned in the
workshop, I was able to secure a modest grant to run a pilot for my study using
MET data.<span style="mso-spacerun: yes;"> </span>I couldn't have done that had
I not attended the workshop.</span></div>
<div style="border-image: none;">
<br /></div>
<div style="border-image: none; line-height: 115%; margin: 0in 0in 8pt;">
<span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">Our membership in ICPSR
reduces the cost of attendance significantly. The fees for 2017 can be seen on </span><a href="https://www.icpsr.umich.edu/icpsrweb/content/sumprog/registration.html"><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;"><span style="color: #0563c1;">the
website</span></span></a><span style="font-family: "Times New Roman",serif; font-size: 12pt; line-height: 115%;">. While our membership provides reduced pricing for
attendance, the average class still costs from $1500 for a three-day course to
$3700 for both four-week sessions. Faculty have had difficulty justifying these
prices plus the cost of travel and housing. Sending additional faculty or
graduate students to ICPSR’s summer programs is a potential area for growth.</span></div>
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<br />Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-88490336981545537802017-07-24T13:09:00.000-04:002017-07-24T13:31:45.075-04:00Qualitative Data conversation at IASSISTIASSIST, a data professionals organization, is running a <a href="http://iassistdata.org/blog/how-do-i-do-qualitative-research-bridging-gap-between-qualitative-researchers-and-methods-resou">blog post series</a> on Qualitative Social Science Data. <a href="http://iassistdata.org/blog/how-do-i-do-qualitative-research-bridging-gap-between-qualitative-researchers-and-methods-res-0">Part 2</a> has some great links for librarians and faculty working with qualitative data.<br />
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The posts are open to anyone and they are welcoming comments, especially for additional resources. Check it out!Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-46381083802459955392017-07-11T14:29:00.001-04:002017-07-11T14:29:17.500-04:00Special Population and Tribal Data Release<div class="MsoNormal" style="-webkit-text-stroke-width: 0px; background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; margin: 0px; orphans: 2; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
From the Governor's Census Liaison: </div>
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The US Census Bureau will release data for special populations and American Indian/Alaska Native tribal groups at<span> </span><span class="aBn" data-term="goog_1328013264" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">12:01 am</span></span><span> </span><span class="aBn" data-term="goog_1328013265" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">on Thursday</span></span>. The data were collected and generally reported from the 2011-2015 American Community Survey in December 2016. <span> </span><span class="aBn" data-term="goog_1328013266" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">Thursday’s</span></span><span> </span>release will allow users to view socioeconomic characteristics (ie educational attainment, income, poverty, etc.) for specific populations and tribes. As an example, currently users may find median household income data for the Asian or the American Indian/Alaska Native population of North Carolina; but<span> </span><span class="aBn" data-term="goog_1328013267" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">on Thursday</span></span><span> </span>users may find data for the Chinese or Cherokee populations. There will be 1,119 available groups. To be included in the release and maintain confidentiality, groups must have met a national population threshold. The data will be available online through the American FactFinder tool –<span> </span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://factfinder.census.gov&source=gmail&ust=1499883029935000&usg=AFQjCNE3EFJePdiA5-Z_Jcifko1xh1uNgg" href="https://factfinder.census.gov/" style="color: #1155cc;" target="_blank">https://factfinder.census.gov</a><span> </span>. <u></u><u></u></div>
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Some American Indian/Alaska Native tribal groups may not be comparable with data released from previous Census products. A comparison table will and technical information about this release will be available at the American Community Survey (ACS) Race/Ethnicity and American Indian and Alaska Native Documentation site -<span> </span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.census.gov/programs-surveys/acs/technical-documentation/race-ethnicity-aian.html&source=gmail&ust=1499883029935000&usg=AFQjCNHx6jOEOgY0OvV2m9RYu8a3T7z9jA" href="https://www.census.gov/programs-surveys/acs/technical-documentation/race-ethnicity-aian.html" style="color: #1155cc;" target="_blank">https://www.census.gov/<wbr></wbr>programs-surveys/acs/<wbr></wbr>technical-documentation/race-<wbr></wbr>ethnicity-aian.html</a><span> </span>.<u></u><u></u></div>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-38523365712857820142017-05-30T15:19:00.000-04:002017-05-30T15:19:07.825-04:00DataRescue @RTP<div align="center" class="MsoNormal" style="-webkit-text-stroke-width: 0px; background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; margin: 0px; orphans: 2; text-align: center; text-decoration-color: initial; text-decoration-style: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">
<span style="color: black; font-family: Arial, sans-serif; font-size: 12pt;">Please help us save federal housing and education data at risk of disappearing under the current administration! </span><span style="color: black; font-family: Arial, sans-serif; font-size: 18pt;">Join us for</span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 24pt;">DataRescue RTP</span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 13.5pt;"><span class="aBn" data-term="goog_74020867" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 10 & 11, 2017</span></span><span class="Apple-converted-space"> </span>| <span class="m_-2769889755864686232m_4227957013299577010m_7040593832094219832gmail-m1107471056069242839gmail-aqj"><span class="aBn" data-term="goog_74020868" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">10:00am-2:00pm</span></span></span> | National Humanities Center</span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 9.5pt;">Organized by DataRescue Chapel Hill and the National Humanities Center, DataRescue RTP aims to preserve online government data related to housing and education programs. We are focusing on datasets identified as being at high risk for removal from online public access. While the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://archive.org/&source=gmail&ust=1496258010874000&usg=AFQjCNFfLnoup236BQsxmlGL9-J-6ml0Fw" href="https://archive.org/" style="color: #1155cc;" target="_blank">Internet Archive</a> has preserved copies of many government websites, it is unable to archive websites, it is unable to preserve the datasets. The datasets in particular provide researchers, journalists and every day citizens with information and data paid for by tax dollars. DataRescue events are a key piece in ensuring that these datasets are copied. The Internet Archive, DataRefuge and a consortium of research libraries hold these copies and keep them available for public access.</span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 9.5pt;">This event is open to volunteers from all backgrounds and technical abilities. Following a <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://datarefuge.github.io/workflow/&source=gmail&ust=1496258010874000&usg=AFQjCNGjX-okpcw4UXJaRaLrDlSrmxYh6g" href="https://datarefuge.github.io/workflow/" style="color: #1155cc;" target="_blank">workflow</a> developed by <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://envirodatagov.org/&source=gmail&ust=1496258010874000&usg=AFQjCNGNi8IIbiD4zd3Y7bI5rtTRwcXZ8w" href="https://envirodatagov.org/" style="color: #1155cc;" target="_blank">EDGI</a> and the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.datarefuge.org/&source=gmail&ust=1496258010874000&usg=AFQjCNG9wwRzmcDVAXlewRSK5gUgB_PQXw" href="https://www.datarefuge.org/" style="color: #1155cc;" target="_blank">DataRefuge</a> project, together we will archive trustworthy copies of government data. </span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 13.5pt;">Who should volunteer?</span><span style="color: black;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 9.5pt;">We’re looking for people who are knowledgable about housing and educational research areas, data scientists, hackers, archivists, librarians, writers, web designers, people with good communication skills, and anyone else who is eager to help.</span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 13.5pt;">How do I sign up?</span><span style="color: black;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 9.5pt;">If you are interested in helping to organize, coordinate and/or volunteer for the RTP DataRescue, please sign up <a data-saferedirecturl="https://www.google.com/url?hl=en&q=https://docs.google.com/a/nationalhumanitiescenter.org/forms/d/e/1FAIpQLSdgje4VJoR6dqDlfaxIYHgLD2hceLVUETWNfEEOUBsLS4e7hQ/viewform&source=gmail&ust=1496258010874000&usg=AFQjCNEhucEhmkUJbVXrCMgvLeoMJ_DbLA" href="https://docs.google.com/a/nationalhumanitiescenter.org/forms/d/e/1FAIpQLSdgje4VJoR6dqDlfaxIYHgLD2hceLVUETWNfEEOUBsLS4e7hQ/viewform" style="color: #1155cc;" target="_blank">here</a>. Indicate on the form what role/team you would like to volunteer for at the event. Descriptions of teams and roles can be found on the registration form and on the <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://nationalhumanitiescenter.org/datarescue-rtp/&source=gmail&ust=1496258010874000&usg=AFQjCNG_OJMZvsLW8vGoiod5yg-dCv7DhQ" href="http://nationalhumanitiescenter.org/datarescue-rtp/" style="color: #1155cc;" target="_blank">event website</a>. </span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 9.5pt;">If you have any further questions, email Sangeeta Desai at <a href="mailto:DataRescueRTP@gmail.com" style="color: #1155cc;" target="_blank">DataRescueRTP@gmail.com</a>.</span><span style="color: black; font-family: Arial, sans-serif; font-size: 10pt;"> </span><span style="color: black; font-size: 9.5pt;"></span></div>
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<span style="color: black; font-size: 12pt;"> </span><span style="font-family: Arial, sans-serif; font-size: 13.5pt;">What should I bring?</span><span style="font-family: Arial, sans-serif; font-size: 9.5pt;">A laptop and a charger. Lunch will be provided by the National Humanities Center.</span><span style="font-size: 9.5pt;"></span></div>
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<span style="font-family: Arial, sans-serif; font-size: 13.5pt;">Where do I go?</span></div>
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<span style="font-family: Arial, sans-serif; font-size: 9.5pt;">The National Humanities Center is located at 7 T.W. Alexander Drive in Research Triangle Park. A map and directions are available <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://nationalhumanitiescenter.org/contact-us/&source=gmail&ust=1496258010874000&usg=AFQjCNGV7gHQtQ143XegD8D0Ms9lzX9a7w" href="http://nationalhumanitiescenter.org/contact-us/" style="color: #1155cc;" target="_blank">here</a>.</span><span style="font-size: 9.5pt;"></span></div>
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<a href="https://www.blogger.com/null" name="m_-2769889755864686232_m_4227957013299577010_m_7040593832094219832_m_1107471056069242839_roles" style="color: #222222;"></a><span style="color: black; font-family: Arial, sans-serif; font-size: 13.5pt;"><br /></span></div>
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<span style="color: black; font-family: Arial, sans-serif; font-size: 13.5pt;">Please feel free to circulate this announcement widely.</span></div>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-2186074377904178162017-04-26T13:01:00.004-04:002017-04-26T13:02:01.202-04:00Summer Series on Quantitative Methodology From the Quantitative Methodology Series (QMS):<br />
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The 3rd Annual<span class="Apple-converted-space"> </span><b>Summer Series on Quantitative Methodology</b><span class="Apple-converted-space"> </span>is scheduled for<span class="Apple-converted-space"> </span><span class="aBn" data-term="goog_1566124945" style="border-bottom-color: rgb(204, 204, 204); border-bottom-style: dashed; border-bottom-width: 1px; position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">May 23-25</span></span>, and features four half-day workshops: Regression Analysis I, Regression Analysis II, Introduction to Categorical Data Analysis and Introduction to Resampling Methods.</div>
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The workshops are free and open to all UNCG faculty, staff and students.</div>
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<span style="background-color: white; color: #222222; display: inline; float: none; font-family: "arial" , sans-serif; font-size: 12.8px; font-style: normal; font-weight: normal; letter-spacing: normal; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;">Workshop details and registration information is available here:<span class="Apple-converted-space"> </span></span><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.uncg.edu/mat/qms/&source=gmail&ust=1493300232676000&usg=AFQjCNFKCKSxMcg_2X2ueqpy7MXu7Z_XVw" href="http://www.uncg.edu/mat/qms/" style="-webkit-text-stroke-width: 0px; background-color: white; color: #1155cc; font-family: arial, sans-serif; font-size: 12.8px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: normal; letter-spacing: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;" target="_blank">http://www.uncg.edu/mat/<span class="m_-9163696067718535097gmail-il">qms</span>/</a>Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-64884195306119542872017-02-23T10:20:00.002-05:002017-02-23T10:20:37.869-05:00DataRescue at UNC Chapel Hill<br />
UNC Chapel Hill is hosting a DataRescue event on March 7, 2017 from 10:00 am-4:00 pm at the Research Hub in Davis Library, 208 Raleigh St.
<br />
<br />
These projects work "to preserve online information and data related to climate change and environmental programs that are identified as high risk for removal from online public access or even deleted". You can see more information at <a href="http://datarescue.web.unc.edu/">http://datarescue.web.unc.edu/</a><br />
<br />Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-55067987421990568832017-02-17T14:24:00.003-05:002017-02-17T14:24:32.405-05:00Name and website changes at IPUMSThe IPUMS Team has some upcoming changes!<br />
<blockquote class="tr_bq">
Exciting changes are coming to IPUMS. Over the next week, we will launch updated websites for all our data projects as well as new features on our portal, <a href="http://ipums.org/">ipums.org</a>.</blockquote>
<blockquote class="tr_bq">
Along with the new look of these sites, some of our projects have new names. Now all our projects are IPUMS projects: they deliver census and survey data from around the world integrated across time and space.</blockquote>
<blockquote class="tr_bq">
Don’t be confused by the new names and the new look: we’re still offering the same free data and data tools. Website navigation and extraction remain the same. We recommend you visit the new <a href="http://ipums.org/">ipums.org</a>. We have made it easier to access all our data projects and to find video tutorials, online learning modules, and assistance from IPUMS staff. You will also find information on events and workshops, a blog feed, and social links to make it easier for you to stay connected with IPUMS.</blockquote>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-87646383722371200602017-02-10T15:33:00.002-05:002017-02-10T15:34:56.725-05:002017 ICPSR Summer Program in Quantitative Methods of Social Research <div style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px;">
<span style="font-size: 12.8px;">The ICPSR Summer Program provides basic and advanced instruction across a wide range of methodologies and techniques for research in the social, behavioral, and health sciences. Our courses emphasize the integration of methodological strategies with the theoretical and practical concerns that arise in research on substantive issues.</span><br />
In 2017, the ICPSR Summer Program is offering more than 80 courses in Ann Arbor, Michigan, and other cities across the US, Canada, Europe, and Asia. To view our full schedule and register, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://icpsr.umich.edu/sumprog&source=gmail&ust=1486844908728000&usg=AFQjCNEsYZWybcwj2HfKaJaPJdK-1gwrLw" href="http://icpsr.umich.edu/sumprog" style="color: #1155cc;" target="_blank">icpsr.umich.edu/sumprog</a><br />
<a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://icpsr.umich.edu/sumprog&source=gmail&ust=1486844908728000&usg=AFQjCNEsYZWybcwj2HfKaJaPJdK-1gwrLw" href="http://icpsr.umich.edu/sumprog" style="color: #1155cc;" target="_blank"><br /></a><b>Four-Week Sessions</b><br />
An immersive learning experience, our four-week sessions allow you to focus on developing new methodological tools while building a community of friends, collaborators, mentors, and future colleagues. Our four-week courses cover introductory, intermediary, and advanced instruction in almost every area of methodology, from basic statistics to advanced Bayesian analysis and advanced multilevel modeling. Our four-week sessions also feature supplemental lectures and talks on important professional topics, such as data reproducibility, research transparency, and methodological issues related to the study of race, ethnicity, and gender. Our four-week sessions take place in Ann Arbor, Michigan; in 2017, the First Session runs from <span class="aBn" data-term="goog_949700609" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">June 26 to July 21</span></span>, and the Second Session runs from <span class="aBn" data-term="goog_949700610" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">July 24 to August 18</span></span>.<br />
<br />
<b>Short Workshops</b><br />
For those wanting to learn a specific methodological technique in just a few days, the ICPSR Summer Program will offer more than 40 short workshops from May through August in Ann Arbor, Michigan, and other cities around the world. The 2017 short workshop schedule includes a wide range of quantitative courses, from introductory-level material to advanced, cutting-edge statistical techniques, as well as workshops on strategies for reproducing research results, machine learning, qualitative and mixed research methods, the R statistical computing environment, and text analytics.<br />
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<b>SCHOLARSHIPS</b><a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.icpsr.umich.edu/icpsrweb/content/sumprog/scholarships/index.html&source=gmail&ust=1486844908728000&usg=AFQjCNEhRlpmjfxjIktIeqwUHJxj_4CoTQ" href="http://www.icpsr.umich.edu/icpsrweb/content/sumprog/scholarships/index.html" style="color: #1155cc;" target="_blank">ICPSR scholarships</a> provide a tuition waiver of registration fees for the ICPSR Summer Program. The application deadline for all 2017 ICPSR scholarships is <span class="aBn" data-term="goog_949700611" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">Friday, March 31, 2017</span></span>.<br />
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<b>QUESTIONS?</b><br />
<h2>
Contact the ICPSR Summer Program at <a href="mailto:sumprog@icpsr.umich.edu" style="color: #1155cc;" target="_blank">sumprog@icpsr.umich.edu</a> or <a href="tel:(734)%20763-7400" style="color: #1155cc;" target="_blank" value="+17347637400">(734) 763-7400</a>.</h2>
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Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-10053112041351006582017-02-09T10:38:00.002-05:002017-02-09T10:38:24.877-05:00Submit your research for an IPUMS award today!<b>Have you used the <a href="https://www.ipums.org/">IPUMS microdata collection</a>? Enter the IPUMS paper award competition today! If you aren't familiar with the IPUMS data, take a look! It's a whole new world of data.</b><br />
<br />
Our 9th annual competition for the best research papers using the IPUMS microdata collection is still accepting nominations. Papers or publications submitted should utilize IPUMS USA, IPUMS CPS, IPUMS International, NAPP, or IHIS to study social, economic, and/or demographic processes. Cash prizes will be awarded in two categories:<br />
<br />
<ul>
<li>Best published work</li>
<li>Best work by a graduate student (published or unpublished)</li>
</ul>
<br />
To nominate a paper for an award (including self-nominations), please e-mail a PDF of the paper to mpc@umn.edu with the subject line "IPUMS Research Award Submission." In order to be considered for a cash prize, all emails must contain the following information:<br />
<br />
<ol>
<li>Author's Name</li>
<li>Author's E-mail Address</li>
<li>Full Citation</li>
<li>IPUMS dataset(s) used for the research (IPUMS USA, IPUMS CPS, IPUMS International, NAPP, or IHIS)</li>
<li>Note whether or not the author is a graduate student</li>
</ol>
<br />
Deadline for submission is <b>Monday, February 13, 2017</b>. Submit yours today.<br />
<br />
IPUMS Project Team<br />
Minnesota Population Center<br />
University of MinnesotaLynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-60125395233429435282017-01-27T15:58:00.002-05:002017-01-27T15:58:15.608-05:002017 ICPSR SUMMER PROGRAM SCHOLARSHIPS<div style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px;">
<span style="font-size: 12.8px;">The Inter-university Consortium for Political and Social Research (ICPSR) is offering funds to support training in statistics, quantitative methods, research design, and data analysis.</span></div>
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The following ICPSR Summer Program Scholarships are open to advanced graduate students (unless stated otherwise) in the specified disciplines, fields, or areas of research. All ICPSR Summer Program scholarships cover registration fees for one or both four-week sessions in the 2017 ICPSR Summer Program. <b>The application deadline for all 2017 ICPSR Summer Program scholarships is <span class="aBn" data-term="goog_589931594" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">March 31, 2017</span></span>.</b> For more information, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://icpsr.umich.edu/sumprog&source=gmail&ust=1485634955486000&usg=AFQjCNFyF92jcFrHHcTcFTjZd8Qe8taS3g" href="http://icpsr.umich.edu/sumprog" style="color: #1155cc;" target="_blank">icpsr.umich.edu/sumprog</a></div>
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<div style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px;">
<ul>
<li style="margin-left: 15px;"><b>Clifford C. Clogg Scholarship: </b>Open to graduate students in Political Science & Sociology</li>
<li style="margin-left: 15px;"><b>Jerome M. Clubb Scholarship: </b>Open to graduate students in Quantitative History or related fields</li>
<li style="margin-left: 15px;"><b>Eugene Owen Scholarship: </b>Open to advanced graduate students, pre-tenure scholars, assistant professors, and advanced scientists from any academic discipline researching cross-national differences in education and teaching</li>
<li style="margin-left: 15px;"><b>Scholarship for Developmental, Child, & Family Psychology: </b>Open to graduate students pursuing research in child development and family psychology</li>
<li style="margin-left: 15px;"><b>Scholarship for Education Research: </b>Open to graduate students pursuing research on education issues </li>
<li style="margin-left: 15px;"><b>Scholarship for Public Administration, Public Policy, and Public Affairs: </b>Open to graduate students and pre-tenure scholars in the areas of public administration, public policy, or public affairs</li>
<li style="margin-left: 15px;"><b>Warren E. Miller Scholarship: </b>Open to advanced graduate students, pre-tenure scholars, and assistant professors researching electoral and political behavior, either in the U.S. or in a comparative context</li>
<li style="margin-left: 15px;"><b>Henry (Hank) Heitowit Scholarship: </b>Open to graduate students, instructors, faculty, or researchers regardless of specific substantive field or academic discipline who have previously attended the ICPSR Summer Program</li>
</ul>
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<span style="font-size: medium;"><b>ADDITIONAL SUMMER PROGRAM SCHOLARSHIPS</b></span></div>
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The following ICPSR Summer Program scholarships are awarded by organizations outside of ICPSR. These scholarships also cover registration fees for one or both of the 2017 four-week sessions.</div>
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<div style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 12.8px;">
<ul>
<li style="margin-left: 15px;"><b>EITM Certification Scholarships:</b> Awarded by EITM to graduate students in Political Science. Application deadline: <span class="aBn" data-term="goog_589931595" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">January 27, 2017, 5:00 p.m. EST</span></span>. For more information, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://eitminstitute.org/scholarship.html&source=gmail&ust=1485634955486000&usg=AFQjCNGpq7OzkCr_8b1rQNr2wzNCle1pBw" href="http://eitminstitute.org/scholarship.html" style="color: #1155cc;" target="_blank">http://eitminstitute.org/schol<wbr></wbr>arship.html</a></li>
<li style="margin-left: 15px;"><b>Janet Box-Steffensmeier & John A. Garcia Scholarships:</b> Awarded by the Society for Political Methodology to women & under-represented graduate students enrolled in Political Science PhD programs. Application deadline: <span class="aBn" data-term="goog_589931596" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">March 31, 2017</span></span>. For more information, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://polmeth.wustl.edu/scholarship.php&source=gmail&ust=1485634955486000&usg=AFQjCNEzycuQBjjJ--EQksTYWpf3g48FvA" href="http://polmeth.wustl.edu/scholarship.php" style="color: #1155cc;" target="_blank">http://polmeth.wustl.edu/schol<wbr></wbr>arship.php</a></li>
<li style="margin-left: 15px;"><b>Hanes Walton, Jr. Award for Quantitative Methods Training: </b>Awarded by the National Conference of Black Political Scientists to faculty and graduate students from Historically Black Colleges and Universities, as well as to women and minority graduate students and faculty at other institutions. Application deadline TBA. For more information, visit <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.ncobps.org/&source=gmail&ust=1485634955486000&usg=AFQjCNEkaNzQm1x6DXF6f2rHfL9CiyoCVg" href="http://www.ncobps.org/" style="color: #1155cc;" target="_blank">http://www.ncobps.org/</a></li>
</ul>
</div>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-43781087551527496092017-01-12T11:19:00.000-05:002017-01-12T11:19:55.240-05:00Introduction to R for Data Analysis<span style="background-color: white; color: #1b1b1b; font-family: "pt sans" , sans-serif;">The <a href="https://www.uncg.edu/mat/qms/#">Statistical Consulting Center</a> will host an intro to R workshop. </span><br />
<span style="background-color: white; color: #1b1b1b; font-family: "pt sans" , sans-serif;"><br /></span>
<span style="background-color: white; color: #1b1b1b; font-family: "pt sans" , sans-serif;">Date: Friday, January 20, 2017</span><br />
<span style="background-color: white; color: #1b1b1b; font-family: "pt sans" , sans-serif;">Time: 2:00-5:00pm</span><br />
<span style="background-color: white; color: #1b1b1b; font-family: "pt sans" , sans-serif;">Location: Petty 219</span><br />
<div class="signup" style="color: #1b1b1b; font-family: "PT Sans", sans-serif;">
Hands‐on introduction to using the R language for statistical analysis for those with little or no experience. </div>
<div class="signup" style="color: #1b1b1b; font-family: "PT Sans", sans-serif;">
<br /></div>
<div class="signup" style="color: #1b1b1b; font-family: "PT Sans", sans-serif;">
Topics will include:</div>
<blockquote style="color: #1b1b1b; font-family: "PT Sans", sans-serif;">
<div class="signup">
</div>
<ul>
<li>R interfaces</li>
<li>Installing packages</li>
<li>Introduction to R syntax</li>
<li>Reading data</li>
<li>Data manipulation</li>
<li>Creating summary statistics</li>
<li>Simple plots</li>
<li>Basic statistical analysis.</li>
</ul>
</blockquote>
<div style="color: #1b1b1b; font-family: "PT Sans", sans-serif;">
<br />
Prerequisites: No previous experience using R is required. Participants must have a laptop with wireless internet access, able to install and run the R program.<br />
<br />
Instructor: Scott Richter, UNCG Statistical Consulting Center.</div>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-84207164201369462812017-01-06T09:41:00.004-05:002017-01-06T09:41:51.348-05:002017 ICPSR Summer Program<div class="tr_bq">
<br /></div>
<div class="tr_bq">
Join ICPSR for a webinar on Jan 30, 2017 at 2:00 PM EST about the 2017 ICPSR Summer Program <a href="https://attendee.gotowebinar.com/register/4396124944541958402">https://attendee.gotowebinar.com/register/4396124944541958402</a></div>
<br />
<blockquote>
The ICPSR Summer Program provides rigorous, hands-on training in statistical techniques and quantitative research methodologies used in the social, behavioral, and medical sciences. We strive to fulfill the needs of researchers throughout their careers by offering a broad curriculum that ranges from introductory statistics and data analysis to advanced methods and cutting-edge techniques. </blockquote>
<blockquote>
From May through August of 2017, we will offer more than 80 courses in cities across the U.S. We will announce our 2017 schedule in January, and registration for all courses will open in early February. </blockquote>
<blockquote>
This webinar will:<br />-Introduce the ICPSR Summer Program<br />-Discuss our 2017 courses<br />-Explain the registration process<br />-Explore ICPSR Scholarships and other funding opportunities<br />-Address your FAQs </blockquote>
<blockquote>
The webinar is free and open to the public.</blockquote>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0tag:blogger.com,1999:blog-4516762691475397226.post-36691065093430401012016-12-20T12:46:00.002-05:002016-12-20T12:46:20.680-05:00IPUMS Research AwardFrom IPUMS<br />
<blockquote class="tr_bq">
<span style="background-color: #fdfdfd; color: #505050; font-family: "arial"; font-size: 12px;">We are pleased to announce the 9th annual competition for the best research papers using the IPUMS microdata collection. Papers or publications submitted should utilize IPUMS-USA, IPUMS-CPS, IPUMS-</span><wbr style="color: #505050; font-family: Arial; font-size: 12px;"></wbr><span style="background-color: #fdfdfd; color: #505050; font-family: "arial"; font-size: 12px;">International, NAPP, or IHIS to study social, economic, and/or demographic processes. We are looking particularly for papers that use innovative approaches, comparative analyses, interesting variables, or multiple IPUMS datasets.</span>
<br />
<div style="background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px;">
<br />
Cash prizes will be awarded in two categories:</div>
<ul style="background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px;">
<li style="margin-left: 15px;">Best published work</li>
<li style="margin-left: 15px;">Best work by a graduate student (published or unpublished)</li>
</ul>
<div style="background-color: #fdfdfd; color: #505050; font-family: Arial; font-size: 12px;">
<strong>The deadline for submitting papers or publications is <span class="aBn" data-term="goog_1318264884" style="border-bottom: 1px dashed rgb(204, 204, 204); position: relative; top: -2px; z-index: 0;" tabindex="0"><span class="aQJ" style="position: relative; top: 2px; z-index: -1;">Monday, February 13, 2017</span></span></strong>. <a data-saferedirecturl="https://www.google.com/url?hl=en&q=http://ipums.us4.list-manage.com/track/click?u%3D775cbf39c77535e784cdfd6f9%26id%3Df92380ee98%26e%3D4c7b360f5c&source=gmail&ust=1482339770018000&usg=AFQjCNHnKj2bG_KbNQCDn4MY8xWxm7hhxA" href="http://ipums.us4.list-manage.com/track/click?u=775cbf39c77535e784cdfd6f9&id=f92380ee98&e=4c7b360f5c" style="color: #336699;" target="_blank">Visit the IPUMS Award page for full submission information.</a> </div>
</blockquote>
Lynda M. Kellamhttp://www.blogger.com/profile/17083959976765263141noreply@blogger.com0