MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01C5AD70.A6D904F0" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Microsoft Internet Explorer. ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use

This presentation contains content that your browser may not be able to = show properly. This presentation was optimized for more recent versions of Micro= soft Internet Explorer.

If you would like to proceed anyway, click here.

 ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master03.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master title style
Click to edit Master text styles
Second level
Third level
Fourth level
Fifth level
‹date/time›
‹footer›
‹#›
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master03.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/preview.wmf Content-Transfer-Encoding: base64 Content-Type: image/x-wmf AQAJAAADQwUAAAYATAAAAAAABAAAAAMBCAAFAAAACwIAAAAABQAAAAwCeQChAAMAAAAeAAcAAAD8 AgAAmf9mAAAABAAAAC0BAAAIAAAA+gIFAAAAAAD///8ABAAAAC0BAQAOAAAAJAMFAP///////3gA oAB4AKAA////////CAAAAPoCAAAAAAAAAAAAAAQAAAAtAQIABwAAAPwCAAD///8AAAAEAAAALQED AAQAAAAnAf//HAAAAPsC+v8AAAAAAACQAQAAAAAAQAAAQXJpYWwAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIAAAACTAAAADIKJAAPAC4AAABE aXJlY3QgYW5kIE1vZGVyYXRpbmcgRWZmZWN0cyBvZiBOZWlnaGJvcmhvb2QgBAABAAIABAADAAIA AgADAAMAAwACAAYAAwAEAAMAAgADAAIAAgADAAMAAgAEAAIAAgADAAMAAgADAAIAAwACAAIABQAD AAIAAwADAAQAAwADAAMAAwAEAAMAAwAEAAAALgEAAAQAAAAuARgABAAAAAIBAQAFAAAACQIAZgAC TAAAADIKIwAOAC4AAABEaXJlY3QgYW5kIE1vZGVyYXRpbmcgRWZmZWN0cyBvZiBOZWlnaGJvcmhv b2QgBAABAAIABAADAAIAAgADAAMAAwACAAYAAwAEAAMAAgADAAIAAgADAAMAAgAEAAIAAgADAAMA AgADAAIAAwACAAIABQADAAIAAwADAAQAAwADAAMAAwAEAAMAAwAEAAAALgEAABwAAAD7AhAABwAA AAAAvAIAAAAAAQICIlN5c3RlbQAAAAAAAAAAAAAYAAAAAgAAAFg7FQDkBAAABAAAAC0BBQAEAAAA 8AEEABwAAAD7Avr/AAAAAAAAkAEAAAAAAEAAAEFyaWFsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAABAAAAC0BBAAEAAAALgEYAAQAAAACAQEABQAAAAkCAAAAAj8AAAAyCisAGwAlAAAAQ29udGV4 dCBvbiBIZWFsdGggT3V0Y29tZXM6ICBSb2xlIG9mIP8EAAMAAwADAAMAAwACAAIAAwADAAIABQAD AAQAAQACAAMAAgAFAAMAAgADAAMABgADAAMAAgACAAIABAAEAAEAAwACAAMAAgADAAQAAAAuAQAA BAAAAC4BGAAEAAAAAgEBAAUAAAAJAgBmAAI/AAAAMgoqABoAJQAAAENvbnRleHQgb24gSGVhbHRo IE91dGNvbWVzOiAgUm9sZSBvZiD/BAADAAMAAwADAAMAAgACAAMAAwACAAUAAwAEAAEAAgADAAIA BQADAAIAAwADAAYAAwADAAIAAgACAAQABAABAAMAAgADAAIAAwAEAAAALgEAAAQAAAAtAQUABAAA APABBAAcAAAA+wL6/wAAAAAAAJABAAAAAABAAABBcmlhbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAI2AAAAMgozACAAHwAAAERlcHJl c3Npb24gb24gQmVoYXZpb3JhbCBDaGFuZ2WYBAADAAQAAgADAAMABAABAAQAAwACAAMAAwACAAUA AwADAAQAAwABAAQAAgADAAEAAwAEAAQAAwAEAAMAAwAEAAAALgEAAAQAAAAuARgABAAAAAIBAQAF AAAACQIAZgACNgAAADIKMgAfAB8AAABEZXByZXNzaW9uIG9uIEJlaGF2aW9yYWwgQ2hhbmdlmAQA AwAEAAIAAwADAAQAAQAEAAMAAgADAAMAAgAFAAMAAwAEAAMAAQAEAAIAAwABAAMABAAEAAMABAAD AAMABAAAAC4BAAAEAAAALQEFAAQAAADwAQQAHAAAAPsC/P8AAAAAAACQAQAAAAAAQAAAQXJpYWwA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAALQEEAAQAAAAuARgABAAAAAIBAQAFAAAACQIA AAACEAAAADIKSAAiAAYAAABLYXJlbiADAAIAAQADAAIAAQAEAAAALgEAAAQAAAAtAQUABAAAAPAB BAAcAAAA+wL8/wAAAAAAAJABAAAAAABAAABBcmlhbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAISAAAAMgpIAC4ABwAAAFNuZWRrZXIA BAACAAIAAwACAAMAAQAEAAAALgEAAAQAAAAtAQUABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAA AABAAABBcmlhbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAA AgEBAAUAAAAJAgAAAAISAAAAMgpQACIABwAAAEplcmFsZCAAAgACAAIAAgABAAIAAgAEAAAALgEA AAQAAAAtAQUABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAAAABAAABBcmlhbAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAISAAAAMgpQ AC8ABwAAAEhlcnRpbmcAAwACAAIAAQABAAMAAgAEAAAALgEAAAQAAAAtAQUABAAAAPABBAAcAAAA +wL8/wAAAAAAAJABAAAAAABAAABBcmlhbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAt AQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAISAAAAMgpYACIABwAAAEJyb29rZSAAAwABAAIA AwACAAIAAgAEAAAALgEAAAQAAAAtAQUABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAAAABAAABB cmlhbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUA AAAJAgAAAAISAAAAMgpYADEABwAAAFJhbmRlbGwAAwACAAMAAgACAAEAAgAEAAAALgEAAAQAAAAt AQUABAAAAPABBAAcAAAA+wL8/wAAAAAAAJABAAAAAABAAABBcmlhbAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAQAAAAtAQQABAAAAC4BGAAEAAAAAgEBAAUAAAAJAgAAAAINAAAAMgpYAEEABAAA AChQSSkBAAMAAgABAAQAAAAuAQAABAAAAC0BBQAEAAAA8AEEABwAAAD7Avz/AAAAAAAAkAEAAAAA AEAAAEFyaWFsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAC0BBAAEAAAALgEYAAQAAAAC AQEABQAAAAkCAAAAAisAAAAyCmAAIgAYAAAAVW5pdmVyc2l0eSBvZiBXYXNoaW5ndG9uAwACAAEA AgADAAEAAgABAAIAAgABAAIAAgABAAQAAwACAAIAAQADAAIAAgACAAIABAAAAC4BAAAEAAAALQEF AAQAAADwAQQAAwAAAAAA ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master04.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
Click to edit Master title style
Click to edit Master subtitle styl= e
‹date/time›
‹footer›
‹#›
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master04.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master02.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"
‹header›
‹date/time›=
‹footer›
‹#›
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Direct and Moderating Effects of Neighborhood Context on Health Outcomes:  Role of = Depression on Behavioral Change
Karen Snedker
Jerald Herting
Brooke Randell (PI)
Unive= rsity of Washington
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0027.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Research Partners
•Eugene (Oregon): Deborah Toobert team
–Diet, exercise and smoking habits of menopausal= women
•Atlanta (Georgia): Ralph DiClemente team
&= #8211;Sexual behavior of African-American women
•Rochester (New York): Geoff Williams team
&= #8211;Smoking cessation among adult men and women
•Seattle (Washington): Brooke Randell team
&= #8211;Suicide risk behaviors among high school students
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/master03_image001.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlh3wECAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAEAAQDd AQEAgAAAAABmAAIUjI+py+0Po5y02ouz3rz7D4YiVAAAOw== ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0004.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Research Focus
•Investiga= te the influence of neighborhood context on health behavior and change.
•How do neighborhood disadvantage and instability shape a broad range of he= alth outcomes in relation to the role of depression in indivi= dual models of health.
•Do neighb= orhood disadvantage and instability strengthen or weaken the expected negative association between depression and health outcomes?
– <= /div>
= 211;
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0033.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Conceptual Model
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0033_image002.wmz Content-Transfer-Encoding: base64 Content-Type: image/x-wmz H4sIAAAAAAACC8VYXWgcVRT+zmw2+2usorEmVKdpokbjEh8s1WBxMjtJhjQ7ZWY3WEQwCZuQmGTj brRpoBSqCC6CvgQhghafJAUVKhWD4JtvPhVS8KUPATGgUJAiNMX1zp3MZDMzGze7mxo43HPvud93 z7nn3Dt7c/OXn1fB/2aEL+lNrv2QJkSAwJMxII4OPhZkEhNsLc7mzgimFhFKpRIfI25tYiIwdXck xOQe08x5lv15gsmPu5zBsnTsWAgtrO0MBPEoRvEFlxamt/C+xUWWwzsIwWktTrbujt3mDOx4ZXF3 VeC20XChm3h7m7EcYe22cLsU4vZP7GVEKT89Nuv4Y8/7q9S877zgHu/K+xb+CKx1fuQ+kSB0GBcK i9k5G9/M2zBZGYmW7T7xNkFHYWUIZb6ZnMeDhH4k8JyzcoyPRiDJw4O6lkklmfWkg2nmVsaIDx28 DAnHHPwDfLQFQ5IuyWlFV420KhsSuj0cEj51/K+ufuyK8dbHGsufKeNMH+f9aisi5FMRldjs/Icq 5su/X19+DFxmObKZI3w0CE1WpTPMMuLZ18soOFgdK+h1sFE+GoZiaBldVowV9HnQK3i/YVn5h+2h KdeZfp3368lKJbb/JytnseGcC3tnQ1B0Q0uxvGyw6nbv7AYuleVla5+8bPnkZatheYnR51jmMsr0 Ud6vPS+V2arNS315SLJdfYzct5dyVlcMQ9VSzHqC3Ht5CTlqzF5u0q/QBVPamN7G+7XvZWW26mu8 ui9OaGfenVJw33nhPb4efr++WhjCAMuX+6ZUpDNp0xIX3HUwgBcFG6vhHO6Q+zxn0rI2ohjMZvOG HPQ5SIKtz6BdCHM9gGdFBcv4newIba7XFF1WDdN2l9xcy+gswxsoluGtOJqRUWU1qRTL0JbvAkS9 iMcFe77NoxrDjOcpj99FnCxbK4nVsrUcrJJm414/VxHe4+eaj58j2rCaGlzzQa+hYw963bNLYWT6 jbSUkpV1vzgz63jBidMeNdjc054o1zEs/NcZLz+dAdfpjDh1F+anU2AzBFyF4DqRkQaxX0WUDo89 wNmjdHjsgQP4Xt3dOoor1C+Y8ir7rphyhaq9WyOeu7Uy266/1p34Zym8750YacD3K8JeU2adxpFS 1MGhfk0f0rTkBN3zfPcn6DN6guu9EEU1IYpT2flsfmxWnMjNL2aXFsVnsomphNglLuTezeYXL/Qw dS43Pj2b7T5Pr/M32/HgKRNrggsL2YnpyekJF/qEmJsUZ6fffieXFwuLuXy20CMujOXfKnQXGYdz c9DXVM+Zinoq53t285WY7M1EdJ+3Y/l7L+rUTJzXTBO2scT5tnGR65Xqxe1ZzPEszj2rxGR7GKsp /pgn/o9pGTdp2cNe6ZR4I75BS5zhBl3keu0R+zM1OuI+epn6aK2OiF+ib2AynGatqdcesT9ToyM+ zyK+Rh/UEfG3VITJ8B19xPXaI/ZnanTE11jEm/RbHRHfoi2YDJv0B9drj9ifqZqIG/M+kdhr/Ksq bs1Ag/6X8zc679tqSdzCe/dtNRkP0k91fX92q6ONV0cMT6OVjkGkVvTQw+wOeAgD9Ah0ascb1IlJ 6sUcvYIFGmZy8GpuZe2poFm1TehCO5mrdeAomfoA5jnrIApcr73C3cz2uP8KBznr5PldFfP57Zeg KSHhYbf8/hcMAoz4VBYAAB== ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0033_image003.gif Content-Transfer-Encoding: base64 Content-Type: image/gif R0lGODlhlgESAXcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAIAAQCS AREBhAAAAAAAAE1NTWhoaHx8fIyMjJqamqenp729vbKystDQ0MfHx9nZ2enp6eHh4fDw8P///wEC AwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwX/IAAEZGmeaKqubOu+ 8CnOdG3feK7vfO//wKBwSCwaj7+YcslsOlPIqHRKrVqv2GyNpO16Z9yveEwum8+5MHodVLPf8Lj8 7Z7bR4G7fs/vJ/N+cXWBhIWGZ4OHY4mKjY6PRYyQWJKTlpeXlZhSmpuen32aT6OkpYA0naCqq3Sn OAEQsbKztLW2t7i5uru6riKprMHCX6K8xsfIyca+eMPOz2XFytPU1bnMwNDa20LS1t/gytjM3OXm beSo4evsvTbZ5/Hx3u319ePy+fqv6WD2/+3w7Ru4jx7Ag9QEEly4xZTDJz0MIpx4TCHDi7AoIuyH iuMIjSCXvfN4cV5IgCSb/+nIeLJlLYslCbJ0uS6lRJonYcYsiJOdTY8ze+YcuZNhUKEJIwJdVoLW zKaxWGaECsHELKpSo8qaStWWzqLyjiIVp3SHWK9b005NW1VrW7dZ376NSwIuW69EwQ48O7Zi2ZXL 7sJa61TuUbps6RKOi7eh3r19rf00yxRq1sNPo3Kt63Zu4raE5b7M+zgf38i7JgPmpbjpYcOfYdud zZnxaMelTaNOyuMm2tmgY4ce3pn4XOONO+bWvZts76WsLRfGmpiz7KrWsTPefPrrcm2nm99SnUb8 RO/fn4U37/RvefYoSafnth5+VPev7P9DP19Yffvk5affPfL1B81/8AV4A/+CA4qEm4HgNXgNfgu+ lJ1tUnUlmmVWnaDddtwNttWFvsADYSYS4qLgO4UVJ5hnLiJnm2yLvUhjHq6YeOIkDJq34hYtBnmZ i1qFdtVdRBqZpIUF7hhMj+L9qM6RFkpXJHVF/vbhYFhiRyWMTpWYkpMoppjcStAhaaOHw3WoZVDI EQnmVSMoR+YwUN7YZYauqckahSx+uV2MsQUnJ5zCHZokjnbe+eQ0iE3XmaLJSOlPmJlledWQR3bF Z12Remmjdps+6OgqeYaq1qTXQWnpL2aGw9+plqRq1ZawIaqZhn8+R1ms38xKKySpFrorqEL6mRqg QAIrWZPDYlIscIQKqqz/O76u5ixvjUbrybTH3Tqildf5le1720IKrbc8pnvfuQK6W+m67D6S526v fiTvvKbWW6u8+d6brrD+FiJwZAHvy2+3BRMLMLNTKuwgww07sp64l93qaW3TadwdxJdK3CvFFSsS XqaDLnnliKLN2R68FYo8MhhjlrzHyVSm3HKuGbZ8MciwyrxsvzYfgnOhOr8o4tIeTwhzoEI7TXLR hBwNXNKELr0zq3Q+3dBDYIctA9F8iG32Cw5fk/OooWqt9drjAS1TzXTsS7cdF2+c6a6b1gha0yrK vdfdaxyMcNoDC14Q4WgY3hfjgjzsNUaQm+H4WJXX7W6+gxtyOVKZs/F5/0+cL+653YhvW7o+OjaO ur2SmwXU2bSbQu8do5OeurMJRy01zafH3kjuNPXue9xk3/y6xcKnkebxt02tB/HF7w6s8dC/LD3u y1cRem/N8/Nr9toDb3D3UzCaBfUtYU/+u9vjjT4nda4f/oLPv1/V7fLff8Qp30OX6uTGPgDxbw4F HIr3TGC/zRFQf12LHwLnhwQANlBDHvLRAyEIP/NVjYJGKBEl/JRAn2yQgwSLnP8+aKi7HEABEFDA AT6EnQJAoAEDEAAMq7IAAQRgAA6gITjc974UwuEsGOwQh6yTQRIJholICiAirmECAiiAAJMSERAb YICoCKABEHCAALZWDf8iks+ImntJFltkHF35rY1GkqLl1CaLBwTgAceqoc8egAAEJCCI4nrW5ELm ExI9BYqjqskBF8EIJCYSRqryGRurk8WySaI7s7AiFjcEASxucZMBEEAQGyAiEw4yaD5BmsoMRTzv 1A5tUEvWsbhUG6wATjOqDM5TfPBKF8RsPCaAoQxpCIs+MkAAOoyKAwYQygUIMVgnrIkaqVWtVkKr l76MpbVY5cZrdZNGuNyKUrC5gl8O8JT6CggiXQamUppSgoxMhCM5+aVV0uaetNnlzRiozetF8x72 hIubArJIMZQgXpjCFLK22cRDPjFpclxgP0qoETNKJpeR4tQ7PRgIilb/NG28yk4ZeQVNdFJPb31b Vd9EWsaCHhGELNyZkiB1LW6haXwQRKPoYNpRTUVxLjhM5t92mEHs9PCHgIzhDJFhUejptHA89cPJ 1jKVLXYRNApoE6i+GMYxBmCYC7uptnLq0jQmDnapYSWiStnEqvDRj4Aco3Nkh1P9PdV1K+RERAk5 zcHYMSqfLFJWDxXKUQ7GATYMq/PqWsSy7jSvFTyo93qRkQQEIAFROaZQuURUjAVgmc1sC1jNRdex RseQtUzpogw5rtROjKNSjer/JEsFj57nn2mVEz7buUolzRR58FShA9dH2/RB9hf5y225JHm1gDKX tLANhWxDuFe++tOk/5XSm2vBKdB1tpYr0EVu8IZLieqi8pylFSBr1vibtjU3SPD9nXjPd9xImDdo SWQpapo6nkf6jbfcddlvzzTfmJ71Cq3jJQlrCjrc9uKh2yXVuNjGxFsOLbgvrS8REhwRnxaHlijQ HXY5uL/kTW+6Q+Bwh1XEMl2JOL0Itatjoarhbtz3vNP0ksYaPGIUzhiv5F2gFjCJSxfjhL++u+sU awwEFa8YmMjasVCQHDUlz5HJf+iCbTfi4OxZORooRoeW6+sbp/4YEeR8pRWc/GT0ilW9jTUx1VJ8 40uFdMs2Xaxp44zhOaMzCjNi5367bGY5+znLXqCqkLik2SCKdoaDWf8ALLJKAkcTtMdkNfShFVdB ylZFAA/wIRCXGRWw0rIqwnQmgTAtY01vGsYNpGwBEFAAjn1aLQvVb0lh3c8znvnVKkk0HUlwgAIc AKmkrgpirzQYYZ6U0Mf78qbZrGAqVgUBAcC2GAXAAK0MM9KTLsEOL83rr6X53OV0NSuKO7w6R8zN egYLte01b8u5+92847Rp7m3JepPB34yN1er2fY6xtXsRZOZ3JhQ+PYYLGeES3lT7GNzBeBcF4EZz eG0dHugBo4TiJS435eah8fRx3MOc5IoNjwpEDzEgAN3mISyC2lmsiBqQWNF3WEouB4wTQ+NT1RQs bMhVMXbGAAe4alP/rHooMBr9MAREt9ShoG5U8TyyYE4rWwMww7f+8cOb8RnG+vh1jEE7yb9eOL2z 3l/Q/DU4orwhYRaA2QQ4c+kOaAAoBWNYmZ69ymmv1dWpe2UVVfaymsEsaAWg6owQAIx6lzkENFtz Wi7+7jlnNZ+jC57B27fw8Bbfnn1ddVX4XMslx3N8NE/6PoPi9MRd8oHfHOPNF7gcsC+v7EOPv4B7 OfA88jydd59v1v++9K8XvpiJf12RW7f1nD+Q8pt8ddXv5+9Ck3bwTVb9hPu+0K7/RO4fznyBY19m 2ifW9Hk5eOvbg8rZB776M07j2VvcnNlFLYglPmHdBvq1t0cf6/dn/0PmfaMXGLrFXXBUTXkWbLg3 gM5HDAYIZxXhX8ZyIwyoLsgnfhBIe6BXfBGYTuKgXfvHMkvCVio1V9GnHh0oevXHe/wjMGLxTXAD SSFCRhe2gs4wfnplViDogb2GgPGVUSpjay2kWA4ogAYjfO63aiEog14xUIZxSIMCJ4E0MwG4DTz4 HBOlfE1IbkDYLD62gd/ihb/ggi/4g/cXhOCng3hihmcof/8zgbUHfVnYeUcEBnI4W1MHNucnMum3 dnSgh2RoIGUWbXt4cINYP4XYH4cYhfoXTnyzWlT4XZKYg3cofUckTy34ht/Xdsv1X22EUZOEhUmo hZ3ohrTyiDk2I/8uNorU9FwAeIp4GAqp+CTJRVmRKCoBxh0kZGHYEn5laItFw4qlyDXvRYRcM0+Y SIuaaEnFmIt0FIrJSIrU5HHlk4ksSIybeIsb94lvYom8GHERByKfAl6zuIX7BI3d6I0mB46A14hq t47t+IwUeHzCuAnqaGOCwG64CI/xJ4+2eEmduI+yY5CFI41tqI21QoiJ+I79iIoAiX4P2XMOKZC6 t4lKeIAL6YwL548M2TjTB5L+oZCIiJE3c5H5OGQj6Y5rZpJoh5LTo5KqaG8a+YATCYgV2Y8EiTst aQ7GSJEyaTEdiJC9B5QwGY8rOY8IxIRGGZEceZJLKXh444UumZH/99iRTwmVPeeUO5eTEhOIRFmV rfCVaNKHaLmTS9iUZWmW8naVCDaAW1mTJfkYc9mWXIlmrAOXosOX5IeXaOaXcWmXggmRN8mS5HCX XUmYJLeYQ6aSiumYb9mYh7k+a1hwaJmZTkCZgEkJaLhvmhmaMcCZfZlo+FOYwEaaIkkMDhmZqZkb kamOtOWar1kasVl9qFmbSNmZjKSbvvmZNqmXvzmcdBl7wUmcxHmXT0mSjshPyDlbpXmcZGJwz/l5 CSmd08mc1YlowhkNudlvtMkuc2mU4amP5Vkv4wl05yl43zkfW0me7emT8Zke76mep7Ke/lKf3uko +JmfPIeQ/Ulv//Ppnv9pn3cSoOhZoP82oJK5nX9pUByHoIrooA/6cwvKnwzanNjJkhiaoQS6n725 HEwwEkpAoqNpbjBgoimKorDUESXKotnkoicqoytKoy1KMy+KozmqozXKozeKXDsKpD0KnBTagxf6 cx5amUVqmBYKofeZpB8aookGpby5pIAWoU76pFb6klKKesMioQWzj7JJpdG5pd+YpV66imT6HWOK phhqpnBqnnE6p9tHp3bKfYEpmnq6p3zap34ao1z6gSQ2qIR6OFj5b4WaqIo6ZcbJdov6qJDKZYNZ fpFaqZbaUocKcZe6qZyKhEyqqZ0aqqJKYGfqqKN6qqJ6Y8uJqv+smqocaqqtGquQWmfkKau2Gqm0 mnq3uquKmqtAx6vAOqjuBqDBWqyt9qoGxapu1Fb9x02zlFDf5YqqNa24wqv3pp2ThaoXgow6Q4Ot oia+lUgQZa1ImqzaGmA1eI3s5a0C5qzMZWSxqnCyqazoeoHguq7HqK7vmq84OKoMt4VfKHD5JGV8 Mku1JGXV4VnMeoHheqv/yoMBayacMoPu6q0NiyH8erHx1aoROqz0KnTtlbH4mq7Suq/p2q+uuqC0 +rHhRLGUYizduk1sI7N7Y6upB3sRmyLLirDkuLMi5Ski26xCW1QOG5gjZKxIK5XeaV45m7RO+34J CXBN+7RUKyv/felvU1u1WtuA9jZvWbu1YBteIomtbRa2ZpsgTUmdTTaNE1dG67WxlQJyCSGEUHiy yDir8hmkIphjbTu3ynW3FehO77degisOoAi3j3qLM/p8IGdLQ9szEoYZJhi5rvUpUTSDuvY20Nqy lGSwyqK5K+VEk9hONYur6jcIRMZikIRPGrs2b8S6cxJJHge6sMtKsMsXtLu6uvu6y4W3Aop/iCsc VuKLU9iwtUu85WK5dhsmJlsjxOu8nvZNvPtGXVKpUJq6bde60luxu6uuceRNgKtLpQi9zduvtDu9 x8u3pmt6w2Z4BUu6i0Euk4tI6NgnK5NFRii/9rox9TS8cbK//1fzvvArtyR2vReFsg1yNPfSSgRM EV87aOwrGQ98wIbntqnUHBNsqK93thyMthHcwSAMwRscwiSMOajSvvuRgkP0tvVEUxezvMHSty08 hiOcvecxuH+LwFr3YDN8wSHBjAV8wqo7Vac2uaJyapDLf7y4RJybR/gLiZDIUgdbg8M7v1TIISZY YZhbiZHbxcIqxDasuulru7prF+i7ut+rr470Gu3avW48sq9LZN10voRqwEPsaTZohG/cv8e7J4KC Qdx6hf81xrybxayLxSE7iUXsXZlWw4n8YIPsGWdsxmOsUnszTxTrstpLyGgxyT2MvoKLjUr7LSi8 xaNbjoUsxZBJHL98kzGXq1VrhEQlK8COi7/1a45e3Kw7hrwZ7MBgLE0Dw8NbFrHwGrd1/MuyAjB4 XFH4YsHH/MElHM0uYcfSXM0/jMzWnM2r58ja3M1OKH7eHM7fTMriXM5DhM3mnM5iKy3q3M6eWibu HM/BCM7yXM/ARc/2nM/iBM36bM/U3M/+bHV/OtAEXdAGjU1HEAIAOw== ------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0035.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Research Hypothesis
<= span class=3DBB style=3D'position:absolute;left:-4.1%;top:-.18em'>•We posit a link between health and depression.
•We expect that neighborhood disadvantage and instability will directly influence depression and health •We test for the moderating effect of neighborhood characteristics on= the relation between depression and health outcomes.
<= span style=3D'visibility:hidden'>•
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0036.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Measurement
•Health ou= tcomes – varies across sites (diet, exercise, smoking, sexual behavior, suicide risk)
<= span class=3DBB style=3D'position:absolute;left:-4.43%;top:-.18em'>•Depression – CES-D depression scale
•Controls – socio-demographics, social support, self-efficacy •Neighborhood context – neighborhood disadvantage (i.e. poverty, unemployment, public assistance) and instability (i.e. mobility, renter occupied housing)
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0028.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Analysis Plan
•Test for cross-sectional association and interaction between neighborh= ood ecological context, depression and health outcomes. <= /span>
•Test for the change in health behaviors
•Multilevel analysis
&= #8211;Participants are embedded in a context
&= #8211;Use hierarchical or contextual models
•
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0032.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Analysis Plan
<= span style=3D'mso-special-format:bullet;position:absolute;left:-4.22%;font-size= :125%'>•
•Lev= el 1: Individual
•    H ig =3D B0g + B1g (depression) + Bk (controls) + eig
<= span style=3D'mso-special-format:bullet;position:absolute;left:-4.22%;font-size= :125%'>•
•Lev= el 2: Neighborhood
–B1g  <= /span>=3D g0 + g1 poverty + g2 unemployment  + g3 crime + u0g
•
•    where B1g=  in Level 2 is the effect of depres= sion on the health outcome of interest and the “g” parameters= represent the moderating effects of neighborhood
•
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0029.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Additional Directions
•Add mapping component (GIS)
•Account for spatial dependence - incorporate spatial component in regression analysis
•Add non-census tract contextual variables
–Distance to or count of parks, liquor stores, fast-food restaurants, supermarkets
•Move beyond census tracts to capture context
&#= 8211;Calculate individual-specific measures of the local environment (combine information from various surrounding census tracts) <= /div>
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0030.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Example Application:  Alcohol Use among Ad= olescents
 <= /span>
•Neighborh= ood context (disadvantage and instability) and alcohol use among yout= h. •Data: Reconnecting Youth prevention research studies provide a random sa= mple of high school aged youth, stratified by high-risk (dropping ou= t), in the Seattle metropolitan area.
<= span style=3D'visibility:hidden'>•
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0016.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Neighborhood Context & Adolescent Substance Use
Sample Census Tracts
------=_NextPart_01C5AD70.A6D904F0 Content-Location: file:///C:/A283B912/Snedker_files/slide0016_image004.jpg Content-Transfer-Encoding: base64 Content-Type: image/jpeg /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEB AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAMwBCADASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD+/iii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAor5l/bJ/aP0v9kf8AZj+MH7ROq6Yutp8NvDMV5peiSSXUEGt+KNe1jTPCng7Rru6srS+ubKy1 XxZr2i6ffX6Wsq2FncT3suyGCSRPxj+Ff7H3/BTz9tT4afC79pz4if8ABUHxr8BLv4l6BpPxW8E/ C74MeCtWt/CGg+E/HNtYeKfCWmayvhX4lfDGy1xItBk0XdpXinTPGU1jHNeWGoa1rF3cavd6j8jn nFVTLcypZJlWR5jxHnVTA/2pVwOBr5bg4YTLXiXhIYrFYvNMZg6EPb1oV6eFo0nWq1p4eteNOEHU PCzLO54TGU8twWW4vNsxnhvrs8NhquDw8aGEdb2Ea1evjcRh6Ufa1I1I0acHOdSVKpdQiuc/o2or 8TP2QP2j/wBqb4I/traz/wAE6/22PiX4Y+M2u+JPhn/wtj9nf41abodl4V17xpoVnc66dT8P+ItL t/scFzqC6b4c8T3sEMVpf6npcvg3xALvX/EWnXdhe2H7Oa54g0Hwxp02r+Jdb0jw9pNvgT6prmpW Wk6dBlWYede381vbR5VHYb5V+VWPRTj0ci4gwmfYGvjKdHE4CpgsZicvzLA5hGjTxeXY/COPt8Ni vY1q+HbUJ0q1OrRxFWjVoVqVWFRxnp1ZZmlDM8NUxEKdbDTw+IrYTGYbFKnCvhMTh2va0a3s6lWl dRlCpGdOrOnOlUhUjJqRr0V5N8Nvj58CvjL9r/4U/wDGn4TfFb+z5DFf/wDCtviN4P8AHP2KVY45 miu/+EX1nVPs0ixSxSlJtjCOWNyNrqTr/Er4ufCn4M6FaeKPjB8Tvh78KPDN/q0GgWPiL4leNPDf gXQr3Xbqzv8AUbbRbTV/FGpaXp9xq1xp+l6nfQadDcPeTWenX9zHC0NncPH6ccdgpYZ4yOMwssGk 5PFxxFJ4ZRTs5Oup+yST0bcrJ6M7VicO6LxCr0Xh0ruuqsHRSWjbqqXJZPS/NY9CorzXxH8Z/g94 O8X+H/h94u+K/wANfC3j7xaZB4V8EeI/HXhfQ/F/iYwoskw8P+GtT1S11rWTFGyySDTrK52Iys2F INW/iJ8V/hb8INFTxJ8WfiV4A+F/h2SdLWPX/iJ4x8O+CdFe6keOOO2TVPEuo6ZYtO8ksSJCs5kZ 5I1VSzqC3jMJGOInLFYaMMI+XFSdeko4aXLGfLiJOVqL5JRlao4vllGWzTB4iglVk69FRoO1dupB Ki7KVqrcrU3ytO07aNPZo7+iuZufGvg2z8I33xAvPFvhm08B6Zod/wCKNS8bXOvaVB4R0/w1pVnP qGqeIr7xJLdro1poem2Ftc31/q097HYWdnbz3NxcRwxSOvn8n7R37PMPgbw78T5vjz8GYvhr4v1C bSPCfxDk+KPgiPwN4o1W31S40O40zw74tbXBoGtahBrdpd6PNZabqFzcxapa3GnvGt3BJCpUxmDp aVcXhqT9i8T+8r0of7OpQg6/vSX7lTqU4Or8ClOEXK8opk8Rh4fHXow/dut79WEf3ScYurrJfu1K cYufwpyir3av7NRVSw1Cw1WytdS0u9tNS069hS4s7+wuYbyyu7eQbo57W6t3kguIZF+ZJYpHRxyr EV+Hn/BKb4ufFb4iftk/8FefC/xA+J3xC8deGfhp+01a6B8OfDvjHxp4k8T6F4A0Jvin+01pzaL4 J0jW9SvtP8K6S2n6DoVidO0K3sLM2ei6TbGHydOs0h8rMc/oZdm/DeUyo1K0+JMTmOGw9enOHs8O 8vyrE5rOdRPWcatPDOlDk2nOMn7qZw4vNKeEx+UYF05VJZvWxdKlVjKPJS+qYKtjZSmnrJThRcI8 v2pJvQ/c6ivL/iX8b/gt8F7WwvvjF8Xvhf8ACex1W4+yaXefEvx/4U8CWupXRjnmFtYXHinVtKhv Ljyba5l8m3eSTy7ed9u2KQr6DpmqaZren2uraNqNhq+l30QnstS0y8t7/T7yAkgTWt5aSS29xESp AkhkdCQQDkGvYjiMPOtUw8K9GeIoqMq1CNWEq1KM/glUpKTnBT+y5RSl0uehGrSlUnSjVpyq01F1 KcZxdSCl8LnBPmipfZckr9C/RRX5Vf8ABQb9uX4nfBjx78Gv2SP2TfCXh34g/tiftFS3Fx4Ts/FN 1B/wiXw28Eac13JqvjrxZYJqFlfXRuLPSPEcuhQs0emQ2vhjxPrmovqH9hWnhjxL5+d51gcgy+rm WYSq+xhUoUKVHD0p4jF4vF4qtDD4TBYPDU06mIxeKxFSnRoUorWc7zlCnGc48uY5jhsrws8ZinP2 cZU6cKdKnKrXr161SNKhh8PSgnKrXr1Zxp04LeUrycYqUl+qtFfgnP8A8Ezf+CmfinU9M+IXi3/g sJ8TdF+INpawtJ4a8F/DvWLD4YJeI085gk8PaL8T/BPg/WLcT3lxGbzU/heJri3js0msxFa2lta+ vfsM/tZ/tM6J+0p8Q/8Agn5+3Q/hvXfjd4O8Jw/EL4TfGHwrYQaVpvxn+GqTtaT6nqGm2FtZ6Zba xCEF3DPaWGjyzfZde0rU9Jj1Hw/LqWr/ADmE4yxKx+CwefcLZ3w3TzbFLB5VjsdWyfGYTEYqdKVW jhMVLKsyx08uxeJUJxw9LEwVOrUj7KNf20o035FDiCssTh8PmeS5jlEMdWWHwOJxVTAYihVryg50 6FZ4HGYmWEr1VGSowrR5KklyKp7Rxg/2Oorm/FvjLwh4A8P6j4s8d+KvDfgrwro9vLd6v4l8W65p nhvw/pdrBG801zqOs6zdWWnWNvDDHJLLNc3MUcccbu7BVYjI+H3xR+GXxb0JfFHwp+IvgT4m+GXl lgTxF8PvF3h/xnoTzwTzW00K6v4c1DUtPaWG5tri3ljFwXjngmicCSJ1X7N4jDqvHCuvRWJlTdWO HdWCrypRfLKpGlze0dNSaTmo8qbs3c+hdWkqiourTVaUXONJzj7RwTs5qnfmcU9HJKyelzu6K898 Y/Fz4U/DvXfBPhf4gfE74e+BfE3xL1Y6B8OfDvjHxp4b8Ma74/11bzSdObRfBOka3qVjqHirVl1D XtCsTp2hW9/eC81rSbYw+dqNmk2TdfHr4GWPj1PhXe/Gf4T2fxPliE8fw4uviL4Pt/HskBme2Eye D5tYTxC8RuI5LcSLpxQzRvEDvVlGc8dgqc5U6mLwsKkKtOhKE8RSjONetBVKVGUZTUlVq05RnTpt Kc4NSinFpkyxOHjJwlXoxnGcKUoyqwUlUqRU4U3Fyupzi1KEGuaUWmk07nrFFIzKqlmIVVBZmYgK qgZJJPAAHJJ4A5NeOaN+0X+z54i8cXnwy8P/AB2+Deu/EnTozLqHw+0b4n+CdT8cWMSi0LSXnhOy 1yfXrWNRf2JLz2CKBe2hJ/0iHfpVxOHoSpRr16NGVeap0Y1asKcq1Rq6p0lOSdSbSuowvK3QqpWp UnBVatOm6kuSmqk4wdSf8sFJrml/djd+R7JRXJ+OPHvgb4Y+FtU8cfErxp4T+HvgrRPsX9teMPHH iPR/CfhbSP7S1G00jTv7U8Qa/eafpOn/ANoatqFhpdl9ru4vtWo3tpZQeZc3MMT62ga/oXirQtF8 UeF9a0nxJ4Z8SaTp2v8Ah3xFoGo2esaFr2haxZw6jpGtaLq+nTXGn6ppOqafcW99p2o2NxPZ31nP Dc200sMqO1e2pOq6Htaft1TjWdHnj7VUpSlCNV0786pynCUIza5XKMop3TSftIc7pc8PaKCqOnzL nUG3FTcL8yg5RlFStZtNJ3TNaivPfB3xc+FPxE13xt4X+H/xO+HvjrxN8NNWGgfEbw74O8aeG/E+ u+ANda81bTl0XxtpGialfah4V1ZtQ0HXbEadrtvYXhvNF1a2EPnadeJDzuo/tF/s+aP47tPhdq3x 2+Del/E3UM/YPh1qPxP8E2Pju92rds32Twjc65F4gucLYXzHydPfC2V2TxbTbMXj8DGnTrSxmFVK rVdClVeIoqnVrqpKk6NObnyzqqrGVN04tz9pGULcyaM3isMoQqPEUFTqT9nCbq01CdRScHThJytK amnDlTcuZONrpo9kopFZWUMpDKwDKykFWUjIII4II5BHBHIr58/ap+Dvjn4/fAXx38JPhr8bPFn7 OvjXxZ/wi/8AYvxk8DprEninwf8A2D4z8O+JtR/stNA8WeB9WP8AwkGk6Nf+Fr37J4p0vGna3dmf 7bbCbTrusXVrUMJiq+Gws8diKOHrVcPgqdWjQqYytTpSnSwtOtiJ08PRniKijSjVr1IUabmp1Zxg pSVV6lSnQrVaNGWJq06VSpSw8J06csRUjByhRjUqyjShKrJKEZ1JRpxclKclFNn0JRX8n/7cX7Cv 7c37Gf7LnxP/AGk/+Hu/7WHxI/4Vv/whX/FF/wBtfF/wf/bP/CYfEPwl4C/5GP8A4aQ8U/2d/Z3/ AAlP9q/8gK++1/YfsP8Aov2r7Zb+sfAX/gmL+3N8b/gZ8GPjR/w+T/aw8Mf8Le+E/wAOvih/wjXn /F/Wv+Ee/wCE/wDB+j+K/wCw/wC2P+GoNJ/tb+yf7W+wf2n/AGVpn2/7P9q/s+z837NH+Zx4/wCJ pZtUyNeG+bvNaOXUM2qYX/WLhf3cvxGJr4OjiPbvMVh3z4nC4in7KNZ14+z550405wk/jlxTnDx0 8tXCGP8ArsMJTx06P9rZLphataph6dX2n1v2T5q1GrDkVR1Fyc0oKMoyf9NFFfNfwo+IPww+Gnhv w9+zz4u/aX8B/EX4z/Af4O+C4vi7d+I/H/h6H4n3Vl4Z8KeFNP1b4t/Efwtqfi3XfFfhq18Vzaro 3ibUdY8TX97EJPFmmS3Ov6i2p2t9e+y+EfiD4C+IHhqDxn4D8b+EPG3g+5iae28WeEfEujeJPDVx AkEd080Gu6Ne3ulyxLbSxXDSR3TIsEkcpIjdWP6RhsdQxEaa9pQhiXCTrYRYmhWq0KtLljiaM/Y1 JxlPC1X7GtKDcY1Fa+qv9dRxNKqornpxrOLdSgq1KpUpThaNanL2cpJyoVH7Oo4txUtL6o6+ivE9 N/aW/Zx1nxrP8NtH+P8A8E9W+Itrj7V4B034q+BL7xrbbktpF8/wra69LrsOY7yzceZYLlLq2YfL PEW9srWhisNilOWGxFDEKnN06joVadVQqR+KnN05SUZx6xlaS6o0p1qNZSdGrTqqEnCbpzjNRmt4 y5W+WS6xdmuqCivNPEvxo+DvgzxZoHgLxh8WPhp4U8c+K2nXwv4M8S+O/C2heLPEjWsMdxcroHh3 VNVtdY1hreCaGecadZ3Bhhljkk2o6sfLP2yf2g9E/Zh/Zq+MXxcvfF/gHwn4o8P/AA5+INz8K4Pi JrWnaTpHjH4saV4B8UeJvA/gbT7S+1bRbnxPrXiHUdAdLXwpol6Ne1q1tr6PTVEkbyxc+KzPA4PC 4/F1sTR9jllOpVxrjVpylh1Tpe2cKi517OpKnZwhNxcuaNtJJmVbGYahRxNepWp+zwcJzxLU4N0u SHtHGa5vdm42cYys3ePdH09RX5bf8Env2y7P9qj9lb4YXfxJ+N3w88eftP6ha/FbxV8SfA+l+I/B Vv8AEDQtCs/jX4w0bQL/AFX4b+H7i31bw34dsfDl94K0/TLu50S0tH0/UfD8r3NxLqttcXf3LqP7 Rf7Pmj+O7T4Xat8dvg3pfxN1DP2D4daj8T/BNj47vdq3bN9k8I3OuReILnC2F8x8nT3wtldk8W02 zjyriHKs3yfK87oYqjRwmb4bB4jDLE18PTqxnjaFOvTwdVRrTprG0/axp1cPCpOUaqlBOVrvmwOb YHH4DBZjTrU6dDH0cPVoqtUpQnGWIpwqRoTtUlBYiPOoTpRnJqacVfc9kopFZWUMpDKwDKykFWUj III4II5BHBHIpa9s9IKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooA85+L3wp8FfHL4YeO/hB8RtNfV/A/xF8M6p4U8S2MNxJZ3M mm6rbtA81lew/vbLULOQx3mnXsWZLS+t7e5QFogD+NXhz9lj/grf+xpo9p4I/ZR/aI+BX7SnwR8M WA0rwF8Nf2kvCt94a8V+DPDmlSONA8NaZr3hBtObXhDpjQ6Vc3uqeONC0xBYW0mj6BoVvcSW1r9t /wDBTb9j69/be/ZF8dfBnw7Po9l8QbLUNF8e/DC/12FX0638b+FJZ2gspbo4fSv+El8P3/iDwe2t RE/2TF4ikvZ4L2zhubC6/P8Ag/4Lk2XwB8L6P4a/be/Y4/ay+EPxV0Zm8MeJLnRfBXhvV/AniHXt Ja4tZNV8LeKPGPjDwBFq9nrtvYvrds2kx6xprQzSHSNc17S44NZu/wAs4wxmQYbPI1OJKmZ8Lqhl dF5TxjleYY/CLFRq4iuswyfGzwuGlg6f1OdPCYqhhs0+t0cSsZOthKdKrh67fxOf4jK6OZKWbzxm Sqngqf1DiDBYrFUFWVSrU+t5fiJUKLw8fq8oUK1OjjXXp1ViJVKEITpVWfSX7OX/AAUv8a698fPD X7JX7Z37M3iv9lH9oLxvY6jefDqVtbsPHHwt+JH9k6f/AGhd2eh+LtKBtrDV5YbfU2s7OG78R6I7 6cunXHim38QanpGiX3A/8FD/ANmr9lTxt8cvCfxs/wCChH7Vml6P+zj4e8FS+H/h9+y3qWo6z4Dt L/xtHLJc6l49TXvC3jtfFvjHU2trrULS5svDfgzT9Qgtf7DspNd+x2FxZ6z4DoWpfF//AIKr/tvf slfHW1/Z0+LP7Pn7L37HGq+JPiBp/jj4t2o8J+LfiX401m58Fazp2g6TotneRzTaVJfeE/Dsksml X3iTw9Jo1v4it9c1KKXV7LRLnxz/AIKANoH7NX/BT/XP2sv21/2b/En7UX7Hvib4DaB4G+GjWnw8 8K+PvC3wq8RWVx4Wtp9P1fTPFd9p3hG51FfEw8b6pYW/jLULB7z/AIWkJdBa9uNEEdp8lmeeYjEc J46pnFGPE/D9Hi7LsHlOf8Q4LGYDAVcq+pUcTUzniLLcsw2CWZZXl2Z+3y6M1g6WBzKt9Vr1qMY0 niH4eNzKrVyPEyx9OOdZXTz7CYfAZpm2Gr4bDTwX1anVnmGbYTB0cN9cwWExntcIprD08NjJ+xqz pxjB1X+bH7Z3xX/4Ja/Bq6+C3xW/4JWXfjLwz+0F8N/i7oviS71aK4+PUXg+68HaZpevT30eoH4w 6qmty3Go60vh7S5tM0c2Vpqvhe+8SafrCeXcIj/tJ/wcm/8AJjPwp/7Ow8Df+qg+Otfmh/wVS/ag 8Q/ti/sk+FNb/Z//AGL/AIm/Br9kX4f/ABH8LePfEnxc8feBvCvw+XXPE2r6Hr3hHwRb+GtE8N6v qVjqXhWeDxvqP2vxBpV9rVlJqmpaDbTzaY81uuo/o3/wcY6xY+If+Cf/AMEtf0ueK60zXP2nPhtr GnXUEiTQXNjqfwV+OF7aTwzRkpLFNbzxyRyISjowZSQRXxMp0Y8N+NFDCTyv+z6nD/C2OwUciyHE 8N5HWdZ5rQxOLyzLcTiMTKpSqSw1GhWx9Oo6eKq4f3f4Z825U1k/iHToSwX1WeVZJicOssyutlGW 1HU+u0q1fB4OtVrOcJSowp1MVGfJXqUtPgOl/bM/4JF/sq2/7JH7SPxz8c2Hjnx7+1P4a+B/xG+L 3iL4/eI/iN42u/EXin4j+CfAWpeK7m6vPCkPiCL4c2Wg6lqGi/2Va6BpvhK3stC8PyW+maMbaOws 3j4v/gn9+wt8Hf8Agob+x78FP2kP25bjxz+0R471fw1rngHwMmvfEjx94b0n4ceBfhb4o1n4WaVY aNY+C/EXhz+09f1yfwVceK/FnibxLNruqeI9c1eS61GWQwog/YP9vT/kxn9s/wD7NP8A2iv/AFUH jGvk/wD4Ief8ouv2Yf8AutX/AK0P8Wq/UKnCHDEfEnB5X/YWWSy7FcEZjmOOwM8JSnhMxzDBZ9lW Hw2PzPDzi6OZY2jTx+L5cVjoV6/tK8qzqOqozj9pPIcmXF+HwX9mYN4Svw5i8XicNKhTlQxeKw+Z 4KlRxWMpSTp4vE044qvaviY1avPUdRy51GS/KD9iq41T4e/sx/8ABfr9kvTtX1DUvhR+zNpH7R2j fC+31i6ur3VNNs9W8I/tK+DtUhknknNpHb3ln8K/D2pvbWNlZxtrd5ruozGeXUj5Xcf8Eo/+CY3w B/at/Ye+E3xW/aysvEPxjhuX+JXh74KeFG8a+NvBfh74Q+A9O+KfjSHWbHSbPwL4l8PnV9e8SfEg eNPFeq61rzXpltNS0TRlsltNDt5J+G/Zp/52fv8Auv8A/wC/wVH/AME5P+CmzfsO/sL/AAG8G/Hj 9nf43+K/AfjXV/iGf2eviN8HNC0PxToniubVPir48tdU+H3iNfEHiTwsNG8dWnjzTfFs9jpmlTa3 d6r4ZvdIvrbSxLFdeb+a8PVOGaON4SfF1KhXyTCcMcdYWnDHYWpjstoLCeIcsHl1PG4f2Vei8Jh6 FOGGwixVOWHpYmOBVPlxEcM18hlMsmp4jInntOlVy6hk3E1GMcTRnicJTVDit4fCRxFLkq03QpUo xpUPbQdKFZYfltVjRa+yP+CWst1+yv8Att/tuf8ABM208YeIPFXwz+Fdn4Z+NfwTs/Ek9xqF94X8 OeK9P8Gax4r0eG9VVsLe3Z/in4Ja5s7eGxivdcg1rxBBZLeavrUh8p/4Jo/ELS/hH+0f/wAF/fiv rhxovwx+N3in4hawRFcT40vwX47/AGwvEmoHyLSOW6mxaabN+6topLiT7kMbyFVP1V/wTM+Dfxe8 dfH/APam/wCCjnx8+Gd18IPFf7To8L+Ffhf8NvEdjPF438J/Crwpp+jadHc69JqENrqOnnxPa+FP BH/EslsrBrqTw2NWktls7jSUh+Z/+CXHgnRfiX+1P/wXn+HHiSCO68O+P/2gNa8E69bTQx3MNxov ir4i/te6FqkEtvL+6njlsb+eN4Zf3cqsUf5WNfVZXh8dQreGdPDU54ajLiTxKqcL4fGU61Ophsjr ZJxHU4dp4ilXtXp044OWHlSpVFCdLByoUpRjKDS9rBUsTTqcHQpQlRpvN+MJZNSxEKkJ0ctqZdm0 8qhVhVaqRhGhKk6cJ8soYd04OMXGx+df7NfxM/4JJ/Hnw/4g+P8A/wAFSvjP4h+JX7U/xT8T+I9U 17whe6X+1RZeG/hX4ds9e1Kx8K+F/DF18H9HTTLrTptFgttXs7f/AISbWbPR9N1Ox0Zbay1Sw1R7 j67/AOCbH7Qn7Nfwn/4KUX/7Mf7E/wAYvFPxH/Y//aH+Fuo+JvDnhHxLZfE2K1+Gfxu8G2PibxPr GjeHI/iPoegavbW914N8M6xqep6y9hcRa9Dq/h7S9S17VNW8M2scGl+zT+2v8Qv+COfw71n9kL9t j9nn4xa58P8A4Y+KNeuvgt8cvgz4Y03XPCPi/wAK+NPE2s+I7mHULzxZ4n8K6DbzN4h1S+1Cx+x+ IJNWhXWX0HWPD2n3mjR6lrn6f/sZftkftP8A7Y/xk8YeKrf9nC6+BP7Fvh/wvBZ+FvEHxm8P+INF +O3xI+IV01rcpd6FZQ6+vhSy8E2mn3FwuoPbaV4jhS6tbJLLxdfXmp6lpXhfxuD8HhJ4zhGl/aGU YLjDBY/B1s7w2D4EzilxhOvGNaOeUOI8/q8Rzp1sFjUsZCvmeKwbwVeU6GIwWEj+4wy8/IMPQliM hp/W8Bhs/wANiqFTMqOH4ZzCGfSqRVRZlSzbNJ5tKE8PibV41MZWw/1eo5U6uGoL91RX6kV+C3wy bXtQ/wCDhb9oceM4I49P0P8AYo0RfhLI7Qs0+gzXnwMfUp4Qk07pIPE+sfEy2KzJZzGKGVxC1u8V xdfvTX47f8FFP2Z/j/pXxo+DP/BQn9jPQIvGP7QXwN0qbwP4/wDhRPqlzYW/xn+Ct/PrE154ft7N bq1sdS1rRJ/EOs3cNk8sGoX0Nzaajpjap4i8IeE9Euv2fjvDYqeByXNMNh8TjI8OcS5Xn2MwWDhK tisVgMNHE4XFrD4eEZTxVXDUsY8fTw1O1StPCKFLmquEJ/ofE1GvLDZdjaNKtiFlOcYLM8Rh8PF1 K9bC0VWo4hUqMU5V6lGGIeKhRjadSVBRhefLF/sTUX7hZ/8AlktzNF/sCeWC2f8A7+PFBJde6RPc /wALTfN+A/8AxED/AAZ8KvoXg/4wfskfth/Dr406tZ6WH+GX/CCeFbp5dY1OX7Bb2OhXPijxl4H8 Wa1Z3etRXel6XeHwFY3WoSwbU02O7MlnC/8AZt+Hv7Un/BQD9tnwF+3f+0Z8MvEX7Of7P/7O9j4m sP2X/g34qtJNN8feJdX8QW8+lX/i/wAX6fqNta6xaQ3scket3l7JY6Tp16+k+ENH8NQ61pNlrniT WuaHiNkeZ4nA5fwv7XiTMsVjcLRxGGw1LF4WGVYKdSH17Mc1xGIwfLgYYLDOc4YatGOJxeK9jg6c IyqyqUsY8W5bjK2GwuTc+b4ytiaNOrRo069GOBw8pR+s4vHVatDlw0cPRcpRpVEqtet7PDwinNzh 8JftB/tHfsRftNf8FEv2j9B/4KM/GjxDof7O/wCzBrcXwo+BvwX0jRvjYPD/AIx8baPdaxoHxU8T +Ibv4U6HqmtWeo6B4l0W9sjfLeeG5NbsdV0KHSL2+0rRtR+2eO/Ev9oT/gmR+yD8Z/2d/wBoj/gm D8YvFOiavpXxS0bwz+0D8Ho7L9pCXwf4y+COr2d+PE+s6k3xe0OCTU7jR1hNtZ6MviHVJU1vWNF8 R6LoMV94ca9i/Rb4g33xh/4JSft5ftE/tI2PwH8ZfGj9jn9si40rxZ4/v/g9oDat40+GfxE0O31v V5r2/wBM+1Wuklb7xJ4h8ZahdTa5daJputWXipb2DxFBrOg3eka17P8ADP8A4KufGX9tX4n/AAl8 GfsIfst+Nrb4eaj4oW8+Nnx0/aa8I3Gl+A/Cvw90u6it/EFp4Qf4d+PL3SdS8bXHmTx6Kl34uuZj qdnHp7+Eb2xutU1zw3+NTwVOrjMywWb5lkuW8b1eKcbXw1Z8B5zmvGPMs79rk+LyfO6fEmFhVylY CWBjSdHC0MvweA9phcXGU6WIr1fz6VCM8RjMPj8Xl2E4knnWIqUp/wCrOYY7iC/9pc2Ar4DMoZvQ jPArDPDRp+zo0sLQwvNQrxcoVak/Af8Agu14Y1jxv+03/wAElPBfh3xNqngrxB4u+O3jnwxoXjLR JFi1nwlrGv8AxA/Zf0rTPE2kSv8AJHqmg3t3BqthI3ypd2sTNwDXoP7Yv/BF39gb4f8A7IX7Q3xD 8GfDbxVpfxQ+GXwR+KHxL0r4jX3xS+JGv67rPibwN4M1zxdFc+ItM1rxPd+Eb3+273SxFq32Tw3Y ApdTS2i20oUiD/gsV/yfN/wRQ/7Owu//AFb/AOyhX6wft6f8mM/tn/8AZp/7RX/qoPGNfZ1+HMiz niDxjxWbZTgMzr4VZTHCVMdhqWKlg3/qRl1V1MH7aM/qteU4wcq9D2daXs6Sc2qcEvoamUZZmGa+ IFbHYHC4yrRWBjQniaMKzw//ABjmEm54f2il7Co5KLdWlyVHyQvK0I2/DL4leMv2s/2lP+Dff4Pe IvhU3iPxP421C0Twh8ZY9GvPEOr+PvF/wU+Gfjn4h/DLWv7Ol04Saxr2qa1J4T8F33ji1u3nTWPB 7+NbbUDqK3EkN38meCbH/g3z+PHw8Hg/wlJ8Qf2PvjhrWiz2fhH4kfFPXPjLqlx4K8bWkEx0zxLq l7Z/EXXfg9d2MGoW8WqmLUdW8GQalZiOygvPC+sXUUNp+hX7GFn+1ZP/AMEH/g5qP7FvilvDP7QH hx/it4j8MQLongvX38V6Xpf7SXxYbxL4Rt7Hx34d8TaGdS1XRJLy40P/AEK0urjXbDTNPXU7O2vb pn8C+KP/AAUQ/YU/aGs/+EG/aR/4JV/HDxV+1jq/gU6ZrHhGz+BXhOHxn/aM0VzbzW+g/EG38QeH PjbpugprtzqDaZrNp4St9T0m6nmntLIakZS/w+ZUsBVwfCuaZviMmq4vM/DvhGHJxxw/ic1yjMJv BVJVo8PZ3ltaWY5RnSqV5Tx9Klh1WqyxOBxdBVpU2qfzeLhhZ0MkxuPq5fOvjeE8ijy8SZVWx2X4 pvDydVZVmGDqPF4DMFOq5YmEKSqTdbDV6SqOD5ftD/gpT4Y1TwV/wQ6+IXhDWPjBb/H+98M+B/2e 9DHxntofJT4j2OmfH/4S2mleJpm/4Sjxqb29vdLisxqOqt4p1l9Zv47nVpLoPetDF+kf7Bf/ACYz +xh/2af+zr/6qDwdX48/Bz/gn1+0cn/BDf4s/sr+ObbWk+MPjsaz8UvA/wAMru501dS8JjR/Gng/ 4l+GfhdE8zRWVjfeKda8E3ep39pf3YfTNd8dalaXd5aPbsLXO/Y2/wCCvL+BfhB8Ff2ONZ/Yp/a1 179qz4V/CrwX8M7X4beHfBOj2mmatB4J0zS/A3hvxH4h1TxTrnh/xP4F0HU7W00e68Ta3rHgW50b wpc3t0Jr/ULG1W/n+5y3P8LlHFWSZ1xBhMXw5h878NMhy/BYXFwzDH1IZlhM2zDEVsp+sKjXxOIx 9LD43DTjTxCWOrqd6lN11UivpMJmlHAZ3l2Y5rQr5TSzHg/LMJh6NeOKxM44yhjsVVqYD2qp1K1X FQpYijJQqr6zVUryi6vOl84fs9ad8d9X1f8A4ONtN/ZnkvIvjVefHFYfCJ0u51Gz197Rvjj+08fG EHhS60hk1O38aXPgceJLfwVLZSQzp4sl0YpPBzMnzd+zK3/BBvxH8KvCnww/aY+G/wAWPgt+0dpu hab4I+JfjTx1qvxut4F+KVrp9ppvibxDpUHgjxbrvhPw9pCeKPtwtrLxr4J0CPQVgltvEenJaWj6 lcfZX/BMLRv2jNd+IP8AwXQ0n4eeK9C8D/tTz/FbS20LxLp9no+qeFrD4w2nxC/alu57eC38Y6N4 l0qTwxqniS3udINxq+j6jLa6NfteKi30MU8cup/8FIv2etb8J+APhJ/wU5/4JxfF74g/tZ+H9Mvf CGpX1z+zv8K/Edx468RaTFb6drXibwZqOs6t4E1jTT4qax0/WNYsfAOi3Hh20mlgfQrm+0m30mSv zbDUMteT8N5nmFTKaHPR4vw1Cjxrw3POuFqzlx7nc6mHo4jDV1i8n4gtWh7SUKMvreHjh6dKo54e cV8hRpYP+z8oxmLngaXNSz6jTp8RZPLMclqN8T5jKVGnVo1fb5fmn72PNKNN+3pKlGEnKlJL9uf+ Cdvw1T4R/sp+AfAdj+05pn7XPhrSJ9Zl8GfGPS7ZYYLzwpqV82pab4ba4Tx58RRfL4ZlurvTrB/7 fiGn6Qum6FHpdhFpEayfb9fiJ/wRJ/Zu+JXwO+HX7RXjXxR4F8XfBP4Z/HX4yz+OPgZ+z/40ury5 8QfDX4fWw1aHSrvWxq5l8Qxa7rGh33h3w7fN4huH1e+sfAmk6rdxRyX7S3H7d1/SPA9epiOEshqV MtqZQ1gIUYZfUr4zEuhQw0p4bDShXzC2PqUcRh6VLE4f66vrUaFanGv+9jI/XuG6sq2RZZOWDngL YaNOOEnVr1nTpUZSo0ZRq4r/AGmVOrShCtS+sfv1SqQjV99SPyf/AOC4f/KLr9p7/uiv/rQ/wlr6 w/YL/wCTGf2MP+zT/wBnX/1UHg6vk/8A4Lh/8ouv2nv+6K/+tD/CWvrD9gv/AJMZ/Yw/7NP/AGdf /VQeDq8Wj/ydnMf+zd5L/wCtLn551P8A5LnF/wDZJ5f/AOrjMz8DtW/Zp8E/tYf8F8f21fhL8UZN avPhTL8CPhv4m+I3g7SNYvNAh+IWh+HvAX7J11o3hPW9X0mWz8QWWjQ+OJPCXiyZvDuqaPq0t74W sIP7RSwlv7e5/TP9qf8AYD+Beh/sleDv2fPB3xvs/wBin9kHwF4/l8c/GXTm1HV9THxE8JX+oXeo a74F1L4l+OPiVY6roNp4gutS1Bzc6vP4yie9XQba30G4sdFtdJuPl39nX/lYr/b0/wCzT/B3/qMf sYV3H/Bcf4WfFLxn4T/ZM+IuifDrxL8b/gT8EPj9p/jv9of4IeFNIbWtU8aeGhceHo9P1GS0tA2r tp9joNt478H3zWEckFrD8Qv7T1P7PY6e95a/A4PA5VhOFvEvPanD9HOMwnxpxlga8oqvSxlTLZ8U KNXDVMdgl/aVPJ8NeWY5hgsJP2dejRxTlRqTrTU/l8PhsDQyXjHM55VTzDFS4i4gw1RpVYYieEln SU6M8Thl9cjl9HXF4rDUJclWnTrXpylUlzfk/wDta6Z/wb2eG/gz8WPDfwIOu6n8ebDwT4ji+G2u eB9a/aU8Q2MnxEj0a7bwoL/VvHGqzfDPUfD8+uHTv7fubJLqFNLa7GnyLfRiIfqx8Cf2zviH4A/4 IP6L+1b4n8QnUvib4R+EHjXwj4e8S6rDqOtz3PijSPjB4k+A3wr1LWvOnvL7Vb/7XD4Sk1m/vbgx Xt6LvUNQe3tJJ/K+TPE/7evww/ab/Ze+MnwH/wCCZX/BOT4mQar4y+Gnj7wB4j8QW3wb+FPw4+G3 gHw34l8N30PjqaPXPAnibVdNu/FL6Hr2oT6Jot3caPqOq6zqlpdw2+o3lylhe/Q//BPT4L6T+1z/ AMEI9J/Z0gv9Lh1LxP4b+OfhO2u9QiS+stC8d2vxz8c+PvBN9qVsp8yIaZrM3hXWiF23UMAhvbbE hgavC4anOfE+crhWrw5GpmXhpxD/AGbLhHh3GcO5HWzvC4/LVgIqtiMTOGb47BSxf7zF0vYSw1LE KE403VcY+bk8pSznMFkk8oUsXwdmv1OWRZTXynLamY0cVhFhkqlWtOOPxOHdf3q8PZulCqotRc2l V/Yy/wCCN37H3xm/Za+FHxp/aX8PeN/jf8bfj98O/C3xg8U/EnxL8VviZY63aXfxK8O2HiixtbRd C8WabY6jNpdhqtnHNqPia11+/v8AUIp7i7ma3kSyi7D4u/sR+PdF/wCCZn7Vnwd/bK1/w7+0B4d/ Zw0D47fGf9kDxxb+OPiGfiBo+l+BfhR8Rm+Fd78Vng03wTaap4t8HwaneKdJN94w8G3tvqf9k3lr e2ug6bc3PifwC/4K16j+xX8G/hH+yL+1h+x/+1Ho37QPws8HaV8KvC2leC/CPhnXfD/xG0zwHplt onhy88Parf8Ai7SbjUtvh+DRLfULrwjY+M9LlmD6hYXstvdQ2sf2F8GNJ/bv/aQ/YH/bS1b9p22u dE8e/tK/D/4+af8As7fAzVdD8N6Jqvwm8A+M/h34o0jwH4Q8RTaD4K8NeIrnWbvU9bjs5G8XrrPi dNF03RLzU4tO17UNZ0yP38mw/AeOy2jlWRZJWq56+FMyw2f0MLlE6MYYhZZRnVw/GKxdGjPF4+eZ ezeXxxMcXjVjuetS5KDrVX6eX0uGMThKeByzLpzzN5Hi6OaU6OAlSjGqsHTlOlxAq9Om6+KljFB4 WNZV8QsTzVIctJ1Jn5y/sPfsippP/BHXxN+1B+yP4IvNL/bq+LfwU+M/gC7+IGl+MfiINf1/wXY/ tHarZ+JdE8KeH7XxHN4d0XxpJ8Pvh5aWXgrUvDegaTrB8Wabo0jalHJf6pcXXyF+zK3/AAQb8R/C rwp8MP2mPhv8WPgt+0dpuhab4I+JfjTx1qvxut4F+KVrp9ppvibxDpUHgjxbrvhPw9pCeKPtwtrL xr4J0CPQVgltvEenJaWj6lcfoL/wSm/aO8c+Mf2HfGn/AAT5+CulfFH4Lftt/s8fCv4r+LNL8V+O /AXh638C2HiXxH8XvEHi7wlpF0/i228SDTtR1CTxtpOi6rpPjPwJZynTTrusaCb8aRJdWfE6n/wU i/Z61vwn4A+En/BTn/gnF8XviD+1n4f0y98IalfXP7O/wr8R3HjrxFpMVvp2teJvBmo6zq3gTWNN PiprHT9Y1ix8A6LceHbSaWB9Cub7SbfSZK+Ljh+GFkfAuPpS4cw0YcHYPLsVR4n4V/tThPEZ1Rnh qedUHXwk6WMyvix42UvruIeHnUzCEKKVapUoTt86qWSrLeGsVB5TRjHh+hhK0M5yT67kdXMacqMM xpurQlDEYLPHiJS+s1XRlPFRjTtUnOnI/bn/AIJ2/DVPhH+yn4B8B2P7Tmmftc+GtIn1mXwZ8Y9L tlhgvPCmpXzalpvhtrhPHnxFF8vhmW6u9OsH/t+IafpC6boUel2EWkRrJ9v1+In/AARJ/Zu+JXwO +HX7RXjXxR4F8XfBP4Z/HX4yz+OPgZ+z/wCNLq8ufEHw1+H1sNWh0q71sauZfEMWu6xod94d8O3z eIbh9XvrHwJpOq3cUcl+0tx+3df0VwPXqYjhLIalTLamUNYCFGGX1K+MxLoUMNKeGw0oV8wtj6lH EYelSxOH+ur61GhWpxr/AL2Mj9a4bqyrZFlk5YOeAtho044SdWvWdOlRlKjRlGriv9plTq0oQrUv rH79UqkI1ffUgooor6o9sKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACivnv9pP8Aap+Av7IXgbSviV+0R47/AOFe+Ctb8WWPgfS9a/4Rfxn4 s+1eKdS0fXdfstL/ALO8D+HfE2rQ+dpPhnW7v7bcWEWnR/YvIlu47m5tIZ/oSuenjMJVxOIwdLFY epjMHChUxeFp16U8ThaeKVR4WeIoRk6tCGJVGs6EqsYqsqVR03LklbKOIoTrVcPCtSniMPGlKvQj UhKtRjX53RlVpKTnTjWVOo6TnGKqck+S/LKxRXgOtftQ/AvQfjv4b/ZlvPHP2z46eKdCn8T2Hw98 P+GfGHivUNO8OW6ln1zxdqXhfw/rGg+AtKddhtr7xxq3h22vPPtfskk/2u282H4O/tU/AX4/eOfj Z8NfhJ47/wCEs8a/s6+LE8D/ABk0X/hF/Geg/wDCH+KZNY8WaAml/wBo+JvDujaT4gzq3gfxTafb fC1/renD+y/PN2La906a75o5vlM8RHBwzTLpYueKr4GGFjjcNLETxuFw/wBbxODjQVV1ZYrD4X/a a+HUXVo4f99UhGn7xisfgZVY0I4zCOvKtVw0aKxFF1ZYijS9vWoRpqfO61Gh++q0kuenS/eTioan 0JRRRXonWFFFFABRRTXdY1Z3ZURFLu7kKqKoJZmYkBVUAkkkAAEk4oA+ff2t/A/in4nfsp/tN/DX wPpf9t+NfiF+z38aPA/g/Rftunab/a/inxZ8OPEmgeH9L/tHV7vT9J0/+0NW1C0tPtuqX9lp1r5v n3t3bW0csyfPf/BK34HfFH9m79gv4EfBf40eF/8AhDPiX4M/4Wf/AMJL4a/trw74i/s3/hIvjL8Q /Fej/wDE48KatrugXn2zQNd0q/8A9A1W6+z/AGr7LdeRewXNtCfE3/gqz/wTz+EPiiPwb43/AGpf h+niJtRvNIubPwna+KviPb6Tqen3MFnfWXiHVfhz4e8V6R4antbqcQTr4gv9N8uSC+DEf2df/Zvr z4UfGf4S/HXwtH41+DfxH8GfE3wpJO9qdc8FeINN1+yt7yPmWwvmsJ5n0/UIgQZbC/S2vIlZWkgU MpPyGGlwxmXFazbA59gsbnmX5Ni8jq5dg80y/EqjhMVjcFmFWpiMHR9pi6eIhVwVGMJyqQpRpTmp UZSlGcfBovJsZnix2GzPDYjMsLl9fLZ4TD43C1vZ0K+Jw+KnOrh6fNXhVjUw9NRk5xgoSknTcnGU fTKKKK+vPeCiiigAooooAKKK5DRviB4G8ReKvFngbQPF/hvW/GXgO30C68beGNK1mw1DW/CUPir+ 2P8AhGz4j061nludGfW10DWZNNh1COCa6h0+4njjMIV2iVSnCVOE6kISrTcKUZSjGVWahOq4U02n OapU6lRxim1CE5tcsZNS5xi4RlKMXUk4wTaTnJRlNxgm7ykoQlNpXfLGUtk2uvoooqygoorJ17XN M8M6FrXiTWp5LbR/D+k6jrmrXMNpeahNb6ZpNnNf388Vhp1vd6heyRWtvLIlpYWtzeXLKIbW3mnd I2UpRhGUpSUYxTlKUmlGMUruUm7JJJXbeiWrE2opyk0kk223ZJLVtt6JJatvY1qK8i+BXx4+FH7S 3wx8P/GT4JeLE8bfDfxTLrMGh+Il0bxD4ea8m8P63qHh3V4pNG8V6ToWv2L2mr6XfWwXUNKtTcRx JeWvn2NzbXM3mv7Tn7a/7MP7G9n4Qvv2kfipZ/DeLx7c6vaeEYX8NeNfFmoa1JoEVhNrUkGleBvD fibU4bPTF1XTFu9Qu7S3sIptQsrY3P2i6hifz62b5Th8tWcV80y6hlEqNHERzWtjcNTy2WHxLgsP XWOnVjhnRxDq0lRqqryVXUgoSlzxvy1MfgaWEWYVcbhKeAdOnVWNqYijDCOlWcVSqLEymqLp1XOC pz5+WbnFRb5lf6nornvCPizw5498J+GPHPg/V7TxB4R8aeHtF8WeFtesGdrHW/DniLTbbWNE1eza RI5GtNS0y8tby3Z40cwzIWRWyo8tvf2lPgrp/wC0FpH7LN14zZfjxrngKX4nad4Fh8N+LboP4Ghv NT099cuvFFroM3g3TQLzR7+BdO1LxDaatIyWxjsGS/sGueipjcHRhh6tbF4alTxdWhQwtSpXpQhi a+J/3ajh5ymo1quI/wCXFOm5Tq/8u1I1niMPTjSnUr0YQrzp0qE51YRjWqVv4NOlKUkqk6v/AC7h BuU/spnudFFFdJsFFFFABRXz3+zZ+1T8Bf2vfA2q/Er9nfx3/wALC8FaJ4svvA+qa1/wi/jPwn9l 8U6bo+ha/e6X/Z3jjw74Z1abydJ8TaJd/bbewl06T7b5EV3Jc213DB9CVz4TGYTH4ajjMDisPjcH iIKph8VhK9LE4avTbaU6NejKdKrBtNKUJSjdPUyoV6GKo08Rhq1LEUKseelXoVIVqNSL2lTqU3KE 46bxk15hRXz34c/ap+Aviz9ovx7+yb4f8d/2h+0B8MfCdn448ceAf+EX8Z2v9ieFtQtfBd7aap/w lV74dtvBWpebbfELwfJ9i0jxHqGox/2vsltEk0/VEsvoSjDYzCYxVpYPFYfFRw+Jr4OvLDV6VdUM XhajpYnC1nSlJU8Th6qdOvQny1aNROFSMZJoKOIoYhVHQrUq6pVquHqujUhVVOvRk4VqNRwlJQrU ppwq05WnTknGUU1YKKKK6DUKKK5Dx58QPA3wu8K6v45+JHi/w34E8G6Dbtdax4n8WazYaDomnQjo bnUdSnt7ZHlbEcEPmGa5mZIII5JnRGipUp0ac6tWpClSpxlOpUqSjCnThBOUpznJqMYxim5Sk0kk 22kTOcacZTnKMIQi5TnNqMYxirylKTaUYpJtttJLVnX0UUVZQUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB/Pf/wAHJv8AyYz8 Kf8As7DwN/6qD46192/tpftp+Jfhx4p8Ofsp/sr6Dp3xT/bW+LVm58K+GJpFl8K/B3wvLGftvxd+ Lt2gli0jw/otqWv9K0i6H2rXZo4SLae2ltbXVfhL/g5N/wCTGfhT/wBnYeBv/VQfHWsz4zf8Eofi z8Efhx4Q/am/Zh+Kfifx7/wUP+FXibVfi38S/iJ4pvr+7b9pK41e2il8a+BTolxfrp2n6SttarY+ DfDbL9m1DSI7zw9f3Eepa3BrWmfg2dYviPDcaeIceH8DXrxllHA9bNsZg6tJZnhMrof20sZSyTDV YzWJzzE4WtiKmX88fYU3hKzcniZ4SlV/Mcwr5vR4i4rWVYarVi8Bw3Ux1fD1KaxlDBUv7QWIhl1K cZKrmVajUqywvMvZw9hUd3WlQpz/AFM/Yv8A2L/C/wCyd4X8QarqviC++Kv7QfxVvl8T/Hr49eJ1 M3iv4i+K5i08tvbyztLNo3gzRppZbfwz4Zt5RbWVsPtNz5+oTzzt4Z+wT+0p8Kfjd+0h/wAFDfh/ 8P8A9l34e/AbxN8BvjdB4O+I3xG8HSeG3139oTXX8efG7RF8beNl0T4e+DtQTVk1Dwdruuga7rvj a8+2eNtWA1YTC8vNW+if2H/2wvA/7bHwI0H4s+F4U0HxLbP/AMI58Uvh7NdNPq3w4+ImnQQ/294Z 1BJ4bS9a1SZ/tWiahd2Nk+qaRNbXT21vcfabW3/LD/gjr/yfN/wWv/7OwtP/AFb/AO1fX1H17AYT MfCzCcMTwv8Aq9nGJz1xdOhRxEsRh4cM5lj6dVYrFUqmNo4qpi4e2xteNaljMRWdaGOnUdStCXtf WcLQxfBNDJpUVlWPq5m040qdR1qUcnxeKhU9tWhPEU6868faYiqpwxFao6kcTKblUi0+EX/Beu0+ M/wq1bW/AH7FXxs+JHx3tvFXiDSrD4DfBe91r4sNa+EtK8PeG9S0rx/418baR8NdNufCejeI9e1n VvDen2lj4I8UXkb+F9U1GTdG8VsPsX9iT/gqL4T/AGtPibr/AMAPHfwN+Kn7Mn7Q/hvwo3jK++GP xPsrgJqGi291aWmpNomq3+keGNZlu9Mkv7K4ms9d8I+Hp7uwuGvdMS+isdU+wfFP/Btbo+mQfsY/ GTX4rK3TWNT/AGnvEmj3+oLEgurrTND+FXwjvdJsppgokkt7C68Q61PbROxSGTUbt41Vp5S+r+0E 72f/AAcVfsNLaO9quq/sm+Lk1NbdjANSSPw3+2FLGl+IiovFSTTdOkRbjzAr2Fk6gNawFPlci4h4 1XDvAfFmZ8SUswpcQ5vkOUY/J/7Fy7DUJUc6zD+zljFjMPCGJjjaPNDENUvZYOUk6SwsY+/LxMsz XiNZTwxnmMzeGKhmuPyzAYrL/wCzsJRpyp5ji/qirrEUoxrRxNPmjVfJyUJO8FQS95/Yv7aX/BUT wd+yv8TdG/Z9+HXwU+Kf7Uv7SWveG28VW/wj+E2nXlxLo+kSZbTX8Sarp2jeJtWtbrVreK7v7Wx8 P+E/E97Z6Xaf2lrVvpVpqOiS6r8tWH/BdHQ9Q+NX7N/7Pt5+yV8XPAHxX+MXxh8MfCj4leDPjHqV 58NfEHwgh8Z+JPAPh7wt4x0/TLvwNqsvj/SdYPizxDPDp943gDVYJfBssV3BBZ69pmpq7/gmeup6 7/wU0/4LBeJPiNpdhbfEXSPid8OfDfheUpC99F8L01X4o6f4dltZTc3ssdvrHgvwx8LtQ1JI7iJW uPsQms7JkjsrTzr/AILAaT4eg/4KH/8ABGvW7W1so/FOp/tJ6Np2uXcUcS6hc6Ho/wAbf2eJ/DUV 5IqiaS1tb3WPFBsRI7JHJcX3lBS0m7TNeIuM6nD+M4zwPENLL8C+KaeT0MgeS4GpKhl2H4xp8Mzl LGYmNXE/2nilTnXxPtYzoUqFepSw9CjXhSxMKxubcRTyvEcQ4bNaeFw39twy+nlby7DTdLCUs/jk 8m8RWU631yvyyqVvaRlThTqThSpU6kYVo/0YV+Hf/BWXxt8RvjB8Wf2S/wDgmx8L/GN34Dj/AGtf EGvar8b/ABPpGo/Ydcj+CPg+1lu/EHhq1CabfzNbeJ9JsPF19NCJLK21q58JWfhbWJZfC+v+Ioq/ cSvwM/b1tdG+B3/BXj/gmj+1h4xub3TfAfibQfHv7Ous+IbiCaTwz4e1+/0f4g6N4OTU723symj3 Gtal8dLmVrnU75bNtL8P6jqQjtbHQNcvB914kTqLhqNB1J0MDj884byzOsRCs6EqGR5jnuAweaSd VNOnTq4WtPDV580eWhXqyckk2fTcXSmsnVPnlTw2JzLKMHmNWNR0nSy3F5nhaGNbmmnGE6FSVGrK 6tSqzbaSufoT8Pf+CZX7Anw38JaX4P0r9kv4E+IbTTLGCybW/iF8NfCXxE8W6k8UXly3+qeKvGWk 6zrVxfXbl555I7qCBJXxaW9rBHBDF81+Ev8Agm1rn7NX7dvgz9oz9jG88EfC74EeN/Duq+HP2nvg jqGseItL0LU4YViPh7V/hh4Z0jw/q2jx6rDeyf2oljqmo6Jp2iXFjqMOjXFtZ+KdRs4/1+r4+/am /ba+EH7JGufAvwt8QbTxV4i8WftB/EzSvhj4C8J+BLXQNU8SPfapcW2nnxJe6XrfiLw858L6Zq+p 6FpWqXthJfX0N3runpa6deO7Rjpzbh3g3AYPB47FYHLcko5JjcvxeCzDBUKGXVcFXp4ilRw9KnXw 9KM/Y4uVSOCr4b3qeKo15UZwfMmtsdlPD+Fw+HxNfDYTLaeXYjC18PisNSp4SeHqQqwp0oQqUYKX s67msNUo6wrU6rpyi+ZW0f2v/wBsv4NfsUfDWH4ifFy91W6n1rUf7A8DeBfCtnFqvjf4g+JnR