Second Workshop on the Application of Pupillometry in Hearing Science ("Zekveld, AA" )


Subject: Second Workshop on the Application of Pupillometry in Hearing Science
From:    "Zekveld, AA"  <aa.zekveld@xxxxxxxx>
Date:    Thu, 22 Dec 2016 13:58:30 +0000
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: multipart/alternative; boundary="_000_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_" --_000_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable First announcement: save the date The Second Summer Workshop on The Application of Pupillometry in Hearing Science to assess Listening Effo= rt VU University medical center, Amsterdam, The Netherlands, 7-8 September 201= 7 In recent years, research within the fields of Audiology and Psychology has= been increasingly focusing on the quantification of the effort required du= ring listening. The pupil dilation response has shown to reliably measure c= ognitive processing load during listening, which quantifies listening effor= t. The more effortful the listening task, the larger the pupil dilation res= ponse. The response is shown to be affected by speech intelligibility (Zekv= eld et al., 2010) and masker type (Koelewijn et al., 2012), as well as cogn= itive abilities like working memory and attention. Researchers at the Section Ear&Hearing of the VUmc, Amsterdam, have been ap= plying this method in hearing science since 1997. Currently, this method is= applied in labs throughout the world to assess the influence of various re= levant factors and paramenters, such as the effect of hearing aid algorithm= s, CI rehabilitation, and daily-life hearing disability. In 2015, the first interactive summer workshop<http://ac-vumc.nl/onderzoek/= workshop/index.htm> (http://www.ac-vumc.nl/onderzoek/workshop/index.htm) on= the use of pupillometry in hearing science was organized. In September 201= 7, the second interactive summer workshop on the use of pupillometry in hea= ring science will take place. The aim of this workshop is to share expertis= e and to provide an overview of recent pupillometry research. There will be= a special focus on the applied analysis techniques and the different pupil= response parameters extracted from the signal. In discussion sessions, we = will reflect on the interpretation of these parameters and attempt to conne= ct these to concepts described by relevant models, such as the recently pub= lished Framework of Understanding Effortful Listening (FUEL, Pichora-Fuller= et al., Ear and Hearing 37, 5S-27S). Confirmed keynote speakers are Dr. St= efanie Kuchinsky, University of Maryland, Maryland, and Dr. Matt Winn, Univ= ersity of Washington, Seattle. An invitation with registration details wil= l follow soon. Practical information: When: 7 September 2017 - 8 September 2015 Who: Researchers (interested in) using pupillometry in hearing science. Where: VU University medical center, Amsterdam, The Netherlands Organizing committee: Adriana Zekveld, PhD and Thomas Koelewijn, PhD (main organizers) prof. Sophia E. Kramer Yang Wang and Barbara Ohlenforst (Marie Curie ITN project LISTEN 607373) Hans van Beek (technician). [cid:image002.jpg@xxxxxxxx --_000_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr= osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:= //www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"= > <meta name=3D"Generator" content=3D"Microsoft Word 14 (filtered medium)"> <!--[if !mso]><style>v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} </style><![endif]--><style><!-- /* Font Definitions */ @xxxxxxxx {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0cm; margin-bottom:.0001pt; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-fareast-language:EN-US;} a:link, span.MsoHyperlink {mso-style-priority:99; color:blue; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {mso-style-priority:99; color:purple; text-decoration:underline;} span.E-mailStijl17 {mso-style-type:personal; font-family:"Calibri","sans-serif"; color:windowtext;} .MsoChpDefault {mso-style-type:export-only; font-family:"Calibri","sans-serif"; mso-fareast-language:EN-US;} @xxxxxxxx WordSection1 {size:612.0pt 792.0pt; margin:70.85pt 70.85pt 70.85pt 70.85pt;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1028" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext=3D"edit"> <o:idmap v:ext=3D"edit" data=3D"1" /> </o:shapelayout></xml><![endif]--> </head> <body lang=3D"NL" link=3D"blue" vlink=3D"purple"> <div class=3D"WordSection1"> <p class=3D"MsoNormal" align=3D"center" style=3D"text-align:center"><b><spa= n lang=3D"EN-US" style=3D"font-size:16.0pt">First announcement: save the da= te<o:p></o:p></span></b></p> <p class=3D"MsoNormal" align=3D"center" style=3D"mso-margin-top-alt:auto;ms= o-margin-bottom-alt:auto;text-align:center"> <b><span lang=3D"EN-US" style=3D"font-size:12.0pt">The Second Summer Worksh= op on<br> The Application of Pupillometry in Hearing Science to assess Listening Effo= rt</span></b><span lang=3D"EN-US" style=3D"font-size:12.0pt"><o:p></o:p></s= pan></p> <p class=3D"MsoNormal" align=3D"center" style=3D"mso-margin-top-alt:auto;ms= o-margin-bottom-alt:auto;text-align:center"> <b><span lang=3D"EN-US">VU University medical center, Amsterdam, The Nether= lands, 7-8 September 2017</span></b><span lang=3D"EN-US"><o:p></o:p></span>= </p> <p class=3D"MsoNormal" style=3D"text-align:justify;line-height:120%"><span = lang=3D"EN-US">In recent years, research within the fields of Audiology and= Psychology has been increasingly focusing on the <b>quantification of the effort required during listening</b>. The <b>pupil= dilation response </b>has shown to reliably measure cognitive processing load during listenin= g, which quantifies listening effort. The more effortful the listening task= , the larger the pupil dilation response. The response is shown to be affec= ted by speech intelligibility (Zekveld et al., 2010) and masker type (Koelewijn et al., 2012), as well as cogniti= ve abilities like working memory and attention.<o:p></o:p></span></p> <p class=3D"MsoNormal" style=3D"text-align:justify;line-height:120%"><span = lang=3D"EN-US">Researchers at the </span><span lang=3D"EN-US">Section Ear&amp;Hearing of the VUmc</span><span= lang=3D"EN-US">, Amsterdam, have been applying this method in hearing scie= nce since 1997. Currently, this method is applied in labs throughout the wo= rld to assess the influence of various relevant factors and paramenters, such as the effect of hearing aid algorithms, CI = rehabilitation, and daily-life hearing disability.&nbsp; <o:p></o:p></span></p> <p class=3D"MsoNormal" style=3D"mso-margin-top-alt:auto;mso-margin-bottom-a= lt:auto;text-align:justify;line-height:120%"> <span lang=3D"EN-US">In 2015, the </span><a href=3D"http://ac-vumc.nl/onder= zoek/workshop/index.htm"><span lang=3D"EN-US">first interactive summer work= shop</span></a><span lang=3D"EN-US"> (<a href=3D"http://www.ac-vumc.nl/onde= rzoek/workshop/index.htm">http://www.ac-vumc.nl/onderzoek/workshop/index.ht= m</a>) on the use of pupillometry in hearing science was organized. In September = 2017, the <b>second</b> <b>interactive summer workshop on the use of pupillometry in = hearing science </b>will take place. The aim of this workshop is to share expertise and to = provide </span><span lang=3D"EN">an overview of recent pupillometry research. There= will be a special focus on the applied analysis techniques and the differe= nt pupil response parameters extracted from the signal. In discussion sessi= ons, we will reflect on the interpretation of these parameters and attempt to connect these to concepts described by = relevant models, such as the recently published Framework of Understanding = Effortful Listening (FUEL, Pichora-Fuller et al., Ear and Hearing 37, 5S-27= S). Confirmed keynote speakers are Dr. Stefanie Kuchinsky, University of Maryland, Maryland, and Dr. Matt Win= n, University of Washington, Seattle. </span><span lang=3D"EN-US">&nbsp;An invitation with registration details w= ill follow soon. </span><span lang=3D"EN"><o:p></o:p></span></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;line-height:120%"> <b><span lang=3D"EN-US">Practical information:<o:p></o:p></span></b></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;line-height:120%"> <b><span lang=3D"EN-US">When: </span></b><span lang=3D"EN-US">7 September 2= 017 &#8211; 8 September 2015 <o:p></o:p></span></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;text-align:justify;line-height:120%"> <b><span lang=3D"EN-US">Who:</span></b><span lang=3D"EN-US"> Researchers (i= nterested in) using pupillometry in hearing science. <o:p></o:p></span></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;text-align:justify;line-height:120%"> <b><span lang=3D"EN-US">Where:</span></b><span lang=3D"EN-US"> VU Universit= y medical center, Amsterdam, The Netherlands<o:p></o:p></span></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;text-align:justify;line-height:120%"> <b><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;text-align:justify;line-height:120%"> <b><span lang=3D"EN-US">Organizing committee:<o:p></o:p></span></b></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;line-height:120%"> <span lang=3D"EN-US">Adriana Zekveld, PhD and Thomas Koelewijn, PhD (main o= rganizers)<br> prof. Sophia E. Kramer<o:p></o:p></span></p> <p class=3D"MsoNormalCxSpMiddle" style=3D"mso-margin-top-alt:auto;mso-margi= n-bottom-alt:auto;mso-add-space:auto;line-height:120%"> <span lang=3D"EN-US">Yang Wang and Barbara Ohlenforst (Marie Curie ITN proj= ect LISTEN </span><span lang=3D"EN-US">607373) <br> Hans van Beek (technician).<o:p></o:p></span></p> <p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p> <p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><!--[if gte vml 1]><v:shapetype id=3D"_x0000_t75" co= ordsize=3D"21600,21600" o:spt=3D"75" o:preferrelative=3D"t" path=3D"m@xxxxxxxx@xxxxxxxx@xxxxxxxx= 4@xxxxxxxx@xxxxxxxx@xxxxxxxx@xxxxxxxx@xxxxxxxx" filled=3D"f" stroked=3D"f"> <v:stroke joinstyle=3D"miter" /> <v:formulas> <v:f eqn=3D"if lineDrawn pixelLineWidth 0" /> <v:f eqn=3D"sum @xxxxxxxx 1 0" /> <v:f eqn=3D"sum 0 0 @xxxxxxxx" /> <v:f eqn=3D"prod @xxxxxxxx 1 2" /> <v:f eqn=3D"prod @xxxxxxxx 21600 pixelWidth" /> <v:f eqn=3D"prod @xxxxxxxx 21600 pixelHeight" /> <v:f eqn=3D"sum @xxxxxxxx 0 1" /> <v:f eqn=3D"prod @xxxxxxxx 1 2" /> <v:f eqn=3D"prod @xxxxxxxx 21600 pixelWidth" /> <v:f eqn=3D"sum @xxxxxxxx 21600 0" /> <v:f eqn=3D"prod @xxxxxxxx 21600 pixelHeight" /> <v:f eqn=3D"sum @xxxxxxxx 21600 0" /> </v:formulas> <v:path o:extrusionok=3D"f" gradientshapeok=3D"t" o:connecttype=3D"rect" /> <o:lock v:ext=3D"edit" aspectratio=3D"t" /> </v:shapetype><v:shape id=3D"Afbeelding_x0020_1" o:spid=3D"_x0000_s1027" ty= pe=3D"#_x0000_t75" style=3D'position:absolute;margin-left:0;margin-top:640.= 25pt;width:152.1pt;height:45.1pt;z-index:251660288;visibility:visible;mso-w= rap-style:square;mso-width-percent:0;mso-height-percent:0;mso-wrap-distance= -left:9pt;mso-wrap-distance-top:0;mso-wrap-distance-right:9pt;mso-wrap-dist= ance-bottom:0;mso-position-horizontal:left;mso-position-horizontal-relative= :margin;mso-position-vertical:absolute;mso-position-vertical-relative:margi= n;mso-width-percent:0;mso-height-percent:0;mso-width-relative:page;mso-heig= ht-relative:page'> <v:imagedata src=3D"cid:image001.png@xxxxxxxx" o:title=3D"" /> <w:wrap type=3D"square" anchorx=3D"margin" anchory=3D"margin"/> </v:shape><![endif]--><![if !vml]><img width=3D"203" height=3D"60" src=3D"c= id:image002.jpg@xxxxxxxx" align=3D"left" hspace=3D"12" v:shapes=3D= "Afbeelding_x0020_1"><![endif]><!--[if gte vml 1]><v:shape id=3D"Afbeelding= _x0020_2" o:spid=3D"_x0000_s1026" type=3D"#_x0000_t75" alt=3D"ec.jpg" style= =3D'position:absolute;margin-left:0;margin-top:622.2pt;width:91.3pt;height:= 63.15pt;z-index:251659264;visibility:visible;mso-wrap-style:square;mso-widt= h-percent:0;mso-height-percent:0;mso-wrap-distance-left:9pt;mso-wrap-distan= ce-top:0;mso-wrap-distance-right:9pt;mso-wrap-distance-bottom:0;mso-positio= n-horizontal:left;mso-position-horizontal-relative:margin;mso-position-vert= ical:absolute;mso-position-vertical-relative:margin;mso-width-percent:0;mso= -height-percent:0;mso-width-relative:page;mso-height-relative:page'> <v:imagedata src=3D"cid:image003.jpg@xxxxxxxx" o:title=3D"ec" /> <w:wrap type=3D"square" anchorx=3D"margin" anchory=3D"margin"/> </v:shape><![endif]--><![if !vml]><img width=3D"122" height=3D"84" src=3D"c= id:image004.jpg@xxxxxxxx" align=3D"left" hspace=3D"12" alt=3D"ec.j= pg" v:shapes=3D"Afbeelding_x0020_2"><![endif]><b><span lang=3D"EN-US" style= =3D"font-size:10.0pt;color:#1F497D;mso-fareast-language:NL"><o:p></o:p></sp= an></b></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><b><span lang=3D"EN-US" style=3D"font-size:10.0pt;co= lor:#1F497D;mso-fareast-language:NL"><o:p>&nbsp;</o:p></span></b></p> <p class=3D"MsoNormal"><span lang=3D"EN-US"><o:p>&nbsp;</o:p></span></p> </div> </body> </html> --_000_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_-- --_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: image/png; name="image001.png" Content-Description: image001.png Content-Disposition: inline; filename="image001.png"; size=21328; creation-date="Thu, 22 Dec 2016 13:58:30 GMT"; modification-date="Thu, 22 Dec 2016 13:58:30 GMT" Content-ID: <image001.png@xxxxxxxx> Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAANwAAABBCAIAAAA1wF1LAAAKQWlDQ1BJQ0MgUHJvZmlsZQAASA2d lndUU9kWh8+9N73QEiIgJfQaegkg0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFHhyJjRRQLg4Ji 1wnyEFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0WAGANKFYFO7rwVwSE8vE 9wIYEAEOWAHA4WZmBEf4RALU/L09mZmoSMaz9u4ugGS72yy/UCZz1v9/kSI3QyQGAApF1TY8fiYX 5QKUU7PFGTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnOGbw0noy7UN6aJeGjjASh XJgl4GejfAdlvVRJmgDl9yjT0/icTAAwFJlfzOcmoWyJMkUUGe6J8gIACJTEObxyDov5OWieAHim Z+SKBIlJYqYR15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyOMBeAr2+WRQElWW2ZaJHtrRzt7VnW 5mj5v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9FgD2JFqbHbO+lVUAtG0GQOXhrE/vIADyBQC0 3pzzHoZsXpLE4gwnC4vs7GxzAZ9rLivoN/ufgm/Kv4Y595nL7vtWO6YXP4EjSRUzZUXlpqemS0TM zAwOl89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR6JQJhIlou4U8gViQLmQKhH/V4X8YNicHGX6daxRo dV8AfYU5ULhJB8hvPQBDIwMkbj96An3rWxAxCsi+vGitka9zjzJ6/uf6Hwtcim7hTEEiU+b2DI9k ciWiLBmj34RswQISkAd0oAo0gS4wAixgDRyAM3AD3iAAhIBIEAOWAy5IAmlABLJBPtgACkEx2AF2 g2pwANSBetAEToI2cAZcBFfADXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC1hAbWgh5Q0FQ OBQDxUOJkBCSQPnQJqgYKoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0BfYQRmALTYQ3YALaA2bA7HAhH wsvgRHgVnAcXwNvhSrgWPg63whfhG/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREha5EipAKpRZqQ DqQbuY1IkXHkAwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQM4H5gqVi1bGmWCesP3YJ NhGbjS3EVmCPYFuwl7ED2GHsOxwOx8AZ4hxwfrgYXDJuNa4Etw/XjLuA68MN4SbxeLwq3hTvgg/B c/BifCG+Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahPdCKGEHnEXGIpsY7Y QbxJHCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9IZPJOmRHchhZQF5PriSfIF8lD5I/UJQoJhRPShxF QtlOOUq5QHlAeUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3slT5TXl3eXXy6f J18hf0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqilWKIYppiiWKD4jXFUSW8koGStxJPqUDpsNIl pSEaQtOledK4tE20Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPKUgbCMGD4M1IZpYyT jLuMj/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWPqkxVb9UU1Z2qbapP1DBqJmphatlq+9Uu q43Pp893ns+dXzT/5PyH6rC6iXq4+mr1w+o96pMamhq+GhkaVRqXNMY1GZpumsma5ZrnNMe0aFoL tQRa5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNYZ6NOs84TXZIuWzdBt1y3U3dCT0sv WC9fr1HvoT5Rn62fpL9Hv1t/ysDQINpgi0GbwaihiqG/YZ5ho+FjI6qRq9Eqo1qjO8Y4Y7ZxivE+ 41smsImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1u8eisNxZWaxG1qA5wzzIfKN5m/krCz2LWIud Ft0WXyztLFMt6ywfWSlZBVhttOqw+sPaxJprXWN9x4Zq42Ozzqbd5rWtqS3fdr/tfTuaXbDdFrtO u8/2DvYi+yb7MQc9h3iHvQ732HR2KLuEfdUR6+jhuM7xjOMHJ3snsdNJp9+dWc4pzg3OowsMF/AX 1C0YctFx4bgccpEuZC6MX3hwodRV25XjWuv6zE3Xjed2xG3E3dg92f24+ysPSw+RR4vHlKeT5xrP C16Il69XkVevt5L3Yu9q76c+Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX+08EOASsCegKpARG BFYHPgsyCRIFdQTDwQHBu4IfL9JfJFzUFgJC/EN2hTwJNQxdFfpzGC4sNKwm7Hm4VXh+eHcELWJF REPEu0iPyNLIR4uNFksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7JHZyqffS3UuH 4+ziCuPuLjNclrPs2nK15anLz66QX8FZcSoeGx8d3xD/iRPCqeVMrvRfuXflBNeTu4f7kufGK+eN 8V34ZfyRBJeEsoTRRJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmEtPi000IlYYqw K10zPSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M9UiMJJslg1kLs2qy3mdHZZ/KUcwR5vTk muRuyx3J88n7fjVmNXd1Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ8MtGy41lG99u it7UUaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrblyJe0fViy+KK4k8l3JLr31l9V/nd zPaE7b2l9qX7d+B2CHfc3em681iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mPZI+0MqiyvUqv akfVp+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I91BrrUFtxWHc4azDz+ui6rq/ Z39ff0TtSPGRz0eFR6XHwo911TvU1zeoN5Q2wo2SxrHjccdv/eD1Q3sTq+lQM6O5+AQ4ITnx4sf4 H++eDDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3OHS0/m/989Iz2mZqzymdLz5HO FZybOZ93fvJCxoXxi4kXhzpXdD66tOTSna6wrt7LgZevXvG5cqnbvfv8VZerZ645XTt9nX297Yb9 jdYeu56WX+x+aem172296XCz/ZbjrY6+BX3n+l37L972un3ljv+dGwOLBvruLr57/17cPel93v3R B6kPXj/Mejj9aP1j7OOiJwpPKp6qP6391fjXZqm99Oyg12DPs4hnj4a4Qy//lfmvT8MFz6nPK0a0 RupHrUfPjPmM3Xqx9MXwy4yX0+OFvyn+tveV0auffnf7vWdiycTwa9HrmT9K3qi+OfrW9m3nZOjk 03dp76anit6rvj/2gf2h+2P0x5Hp7E/4T5WfjT93fAn88ngmbWbm3/eE8/syOll+AABAAElEQVR4 Ae29B2AVRRc2vHtLeg/pCUlICBBK6C2U0JEOASmiIkpTULHj+1oRURFFRJAiShVBmvQaauidkISQ 3ntPbm7Z/Z5z9t6Aiuir8v//9+sQ7t2dnTlz5pxnzpxpe0VZloV/A0lAEgQVZCHevTaIghbxsqCK iUnZvCnRw8vujTe72duIkqxScbp/JfcwJKB5GET/76TJiJRNsqgWGaACECkLJpPqo49i333vuMkI dIoRbT1GDw1Xqf7vrOL/JVz/C8q7iiLbJ4qiSZDVGhEAFIWcwuonJmw/ciQTMEUEoJiVXingSzQK wr+iuyu6v/fqX8nelSf7MSpZbVIJsiSqU5Mq+g/YlJJWpCJEagSVydbGduTwZrKILv5fud2V299+ 9W8/dFekipeoEtSwgtVV+uEjt6SkFgmySkIvLspBAQ0OHx7fMMhJpPt/w0OUwL8t/l7hGkUyg+o6 nTA6ekdcXL6IoQ+gKmsfeSR0zZrBDRrYEB6BUurC/w0PSwL/CvdeyaqASNxPfmbbwUMJuJAFSZSl 6dPa7NoV7d7ATpYVcaF7N92b7d/rv1cC/4LSLE+aGgPmZGHuB6e/35AoyOhDyCK+8FLnZUsHqESa AsLQR0DnTReE3X/DQ5LAPw6UyrysJLCpu8c3pG5alHbvS37nrRMMRwkRL7/c6fOFvfAIfxjsID7h Vsmz0w+NGL01IamIVMIULGQ4iUVRMllTqX4W2Fyi5anlGxCnXEzB7KtyFozufytQMphw5bHlQom8 m8vCElJRSpk++EIpy/LY/E1fYLWeWdwqLHE8XXNx9EVyo/ZLSTiSLpR4hT5HUp3qpQHKv+hYjEpJ oIZ0fH2XFKj943xKzPmg2hjNQBZ8CXFQy0TPnZtb9dTEvZiapHhZEx3ddMGnvSF+3EJfSLB8+bWZ Mw+bTAZRNjUJdJu/MEolYu4IgWUq4451gS/8E1GELJJlZfqyGqo0J1fcAIURtAUQIDVTu0B+UVTJ soZI3T/8zKUlr5dKAXdoRYo2qcT63Jj5h7MhqsAMVd0cz1+ckfmnsRtnMTNLE140WUuVVlEKYony 8ygQVVPSmS0aniMdP4e3ozKCD+LeXFd+SAJEhFK6JGuUnGAH0Xd5tdTXTNdy+4/4VpomS0jC2kx9 nWfO3F9UWk7ClEV3F/tFi/qRYlg5AMwLLx6YPn2f0VQDfEqixsXVxmwvKP9dIrQqxCC2kMWEEmEO kVAKe6XQIN2SnigoRg4qVzMqiZSiPH56nw9wbvFuiTJRJVp3eaA7hTYgTuigFPiwRDI/9AgPKQEC 0cSfmYbGbBoRIxgsHgvys/EDZQmVlGD9uBCJIE2w5PyiUYNklBFE+YIKMKB0EiRX1oxCeljP9F3m kfpnN7j/JwRu6OaKsoCo19vyY8L2bXdImLKkFlWbtgzx9bczy0eSJ03etXjxRRGdF/maxmaNXZ+Z 2ob8SpYs65WhRnrilSGGPFshokFK4i6MUpK6oB4FKyAo19VJegNpXME/PWWKSPPrIAtGg85QVaH0 1ApKVAa9oNOZ6uoMVVWIh8EW62rl2hoDlw0aFFNZY6qtU3IJdQa5ukbpUgEAoIo/GWJ1OlNcXGlp ud5StNqMW6BfsaaEPUBZogeEcxX+oT5kPSloFGijBpjEiIvPKy3XibKWq0SSYVGgiVD9GcosDxaI kh+f/0RQotYsFRYCaUJTXm54cdZhXGGSHBbr/Q969u3TSCLhkKQnTdq7bs1NUi0thcsDBoUeO/mE h6cNaYuNkJIMnyAGSZtNAnIS5M2uFciSCwXVcd+Xl1e1bWvi66+c7NFnU1DQipBGX3/08XkJ4IB1 eaBS0DdeulzYMHjJ0lVXoX4UoDeauvZYcyE2Y9aLR3r0WG/EcqgsvzU3pt/ATaiPAgKTSe4RuX7q lANk1AThs4WxXTqvMRhNbKUJAxTLQklNL2ndetWeHUkgTtWhDlmpBSVBg8R/3MPBIPAoSMQTOK0q bqD0GCinJpicXtKuxbrd228jQ0F2bWU5NxiSD4RkUr5QMIvrZzj82Q0V+k8IEIQZTFRbiPSLz87l 5JWTpAShe7eGb7zRmURGt6qXXj28ft01VogBqHrjjZ77d43z8LSjGGiLYAkdKWLEvWIuoE7SqBII pnwDhyw9tXLpV1f7DdgSFPR19JgdCz47eTImJT+/MDu7+M3/HCrIq7KQMpsdC417v6XWrT3RPy9e cJHwLsuxsWm3b1R06BqQmVKWllpGBkgQigpq09PgilBG8ChJUnpmWXZuJXEsSKWlhpTUMljwirK6 lPRSg8l04WJuaZUO7Af4Oe/dHd1nQHBOflVaShkjUzIZVcmpRdz9a65fL7h8uYDFJpRX1KUml5qM xvj44ppqE0jHJxQfP5EJ4vCgg/2dfto7qu+g0Fs3ygKDlsydezy/oCYjozIrtxLrZugaqqoMqRll imW9t4b/QFCymyhhPEH9EICYnlM1f/4ZXs4WtWrV8pWDaJGbdKn+evm1zxeeg/hwq1ZbrVgxaP68 bgJceWrfRpgZRoWJvjiQM0cewD23pD2TTm/YuiN52NDNjRt/9dysQ4cPxuv1ekE2YrjFY02Up3J1 cbRzsCLnD7ktzp2F0j3fkmhrp5k1s13i7dxLV7IA/hXL44ZHh9jYoI9Wa7VaEADyrDQqXCMbQZSh qdWqrVTmvSYaldrGylqt1azfENek8df9+/3QtcO6yM7rqmr1OXlVg4duu3guOyYmK7Tx8ovnC2H4 Nv9wa+ywXajvlKn7e/faMnTolpdfPgLi23fcCQtbFdVrU9tWq2H7//Pm0cgu61577eSs5w8DwTm5 VUOG/HguNmfvgQSY8+Urrm3bGj/3/ZPNw1ZVlOlhWh97fOeiRZcVJ+CeGj6wp7g33f+Prglx2ObD fS3ZuWWfX9QZ9SL3R2+9Hdm0iRsrUbh0oWDWs/vQewkqtUYlbvohesqUCFhHWgdHChpCEgABBcVJ 5cEEj7jZCyPginJpad2XX95o1ezb0SM37d6dhG5UBBZp7E/gU5nglxIj3t4Oa9cOdnDSYjxAbUDh 4L5CBwOyPHFCM6B5yw939AZx956kyZNbYBgumCQV+blGZg/VRFsyd6kETYCTNptQ9WWVXpbZzppk dPcjo8MWLx2QmFCQmlZhpdEYDXWlFYZhQ4MESVqx6hK67y+XXHhiWqsr5wtWrTy/es3Azz7vs+jz M2UldVZalUnStWnjc+v2M54eTh8vvNwo2GX3zujde0ZCsLo62WTU11TqJk9uBa7e/E/ks9PbDRsV VlGjO3o0pTiv5uC+jBdmRpAYaYPL3fCPmxJiVaH+tPsM6i8u0i1ZdgHIw3WAv9OLL3UgQwdTKQv/ ee+oJGEiTVLLmk3bxkSPCFHERoChNFA5zwFRLCGAJkwIT/gksNbq6lasvPbxRxdzc0s5IxlRuHgW l9GAxfTIbgEdO3uHR7i3bx3g7EiGDZ4ZNYMHgJIh26SZW6cOvt+vu9mosZurq223yIYo2kBNzaTS qIk9NfnN9CeaRFltVKkkI21+gnGHJVWJVigKhaCCKHLKlNYnT2RJglo0GWWVFo6vUW9ysLceOarZ hvW3npgUkXS79IknW2787jrE9uG8WMkg+fi6lVTUIAPk8PLLHQKDnEDwqyW9X3jumFfDRS/N7Pzh hz211EJUmGATNbDQGi21OGO/3kEuzlYrv7125ETG4CFBwSHuLEwI7W74B4KSvD1SOrlXqrVrbtTU 1tGlKHwwt7udgzWGydAiZtEP7UmicY8grFo5GIgEOgkunBFWjiyTeRADBFOXSXdQN4N1247kN+cc SUwsxmwI9mWyiQJEyDAH+DmNebTpyFFhHTr4WVmZlaFYMvSPIAtScF6VGcG7irJcUVFc2JQZbZ6Z vOeFmYfmvNlJQzs/VX6+tjGHqkuL9e5utom3i9xdUC6SqmGHrDUqd3fbuPhSGrXI8s24fDc3G5A0 SuSZ1OkkgwFTP3AKtWoMWajTIFanPRexdXvcuDHb+g1o5OJkHRDoghHM5KdbTHm6jc4oWatVx45m i4J1bQ0N1U0m09QpbR8bF/7ue6c+Xxjbf1Bw8yYNSFDAIxUCxlG2xsZWeGZq+08/iVWr1ZcvT8aM LxoQt2qkMYd/HihpQMqggmnRi9+sxBgWklOHhrpNmNAMpgbdsa7WOGvmAfb2pFde7TLp6Rbm1kzI Q3KykYRsHpey3PEANgPCNKVlVL32csyWHzFaB8AwbUJuHOCoUqmGDW329JQWffsE2drUi53VRdSA NVACRrHaoa63wBY13f0mmFHZqqHDQq00ar1eN3ZsMx7ciDNntdv8w+1OHde3aNPg1Im0detH1GcD q++8223i+F1dOq5r4Gm7b8/tr1c/AjIGA0pEWzFKAKSkNsqSScL8g8lgAFaknt0bBga4ZmZUPDOt NW779Q/t0zd0xrSD239KLs+vWff9CCuyx0bkAqnqOuPowVsCGzknpBTbO9o3buxaq68Dbb1Ob2Nn 7eHt8NY7x0TJ9NLLHZ5+MvyzBSf7Dghu1aIBccjyrGeVImDO773/B1xDgpjLwXSacOxEWu+oTTQ/ LGiWLhswY1pbAAnxCz8/88qrMcBS1y4Bx05M1GoIgmwO8RiBQGn+xAMFJHyxdn3crGcPVVfWwNQJ IsYccJVkG43dlKkRM56NaNrcg8jDEpOpY3ijx2SK+OB+le+IlFKE5dk931wO7lEL1Znzubraut49 g+iWLKicnlm1fVtCSYFuyPBGHTv4o/0AjkoTRJ6rV/P270+r1Rkwq9W1ow9IpaWX3E4o7xUVWFlV d+5CbvfIAFT2yKmUNuG+vj72qNrN+MLc7JpevQLIrZZko0ncc/B2YnxpWLDrI4NDysp1167kdY30 c3C0kU3S0eOp164U2dlZDxwcHBjgUFNpPB2b06KVu4+PY1pG+d49dxqHePTvH5iaUdI4eOWBQ4/2 6RMMrkw05YkAkZrDPxCUdzvHGc/t/3oppsTVzs42aanPOblgyKKuLJeCQheVFtVpNeor1yeHN2tA cBHE4kpd6p3Sdq09RHJHWYIWgADHkOzM6YeXr8BQHQH9FHAsIeHkp9u9+mqHsMbsOeGJYmUZQchF gfGpQMo86K7HKT//xce9PbssGcEMVncY5JyQTC43GqUIiiP4Ekl+RE2Li8TMIjkjbOyVCOKnvmhz YjQteKhoReSnWnISTdSR2/ZdJFkSoCuh+UtzoVQsBYrgvgDjquGPbMnM1V2/+SRRxpiPC60vGYnr +xHO+o/4wAw1tUwsXezalUzqkoUJE1s6u1gxYqRVqy+VFNVAWC/M7hjeFIgkw3b2XP7Y0Tuysso+ +7z38y92JBeQpKj4Q1J1rXHqlH0bN6LLRmAEiHJUj6CPPunTsYM3vEzSH5aP+Sk+CBayUFGlu5NU diuxKCO1wmQU2rT3HDQoGLzBqRN/tr5N2eoDMa+UjoG1Ct4aYFVvVmnYDuOI7p+cXErG4GBAMMOI oVhltEM0GQvEGGEGH+ZVR3CAhkYTC5RIWcTnS8CRZviVoRgjkgo322lGKj1CUrOXLCrOsVFQaUiS 8FsF8Y33I0OCXKhE8ndR4j3IpuL+iaCEsSBlXLuem51dDoMBXYwd25gRifU6ecmyy4CVLOsnTmwB AUEx8QlF/fqtr6pELy8lZ5STJVJ0yUfMsnKqx4zeefZMJgkXqpAFR3u7T7/oOeXptrhGSrZNUAZs CxmGslLDseMpP25NPLA/o6gYA3MtZumREOZh2+5HhwxuLKpo5YO1c98PxUoBGCDJNoUtkyULJrAI g5acqAphnIwcYtm3pUeKEwooEoe0g4Kqr8wfEDXCKKGfL+7FDZJTLfFpLoNMKcMXQy221/SM+FcM KxlCgehzS0P5KrjTPbr4K5JRrLgioLss/xNBSZ0d2Y/Tx7PYLqh9Axp06uBvwqhEEk6fyEi5gyMQ 0pAhLVq1Ije8tkYaN/6nakKkMTzce84rkRAin3gkNccnlQ59ZEtySjHpggyQesjgkEVLBoQEOVMf x9aRh96YpxFOns5ZuzZu24+JJaVVsLKYKWEkESJhXk2SnJVZjUtSCmGFL3/1Qd2iKFRV1cHSOzuo tdZkkuA4FpfUqdWiC+w99+Y0HiMGzT4lkRGFzVtvpadWvfpqp4L86ksX4QsGuLgA/dh+AZBhyygn spRLvapsKi6uxfz2iJFN2rfzQClkIznkFdbEJxTKRtHb1x5mz9oaLFOT43LNx+5QOiGVqkn5IB2q FKPVDHSlAaCFcHNVKONThcMoNbWGWp0RoyeK5VVLyg+KRIE+lQujQaiuMWAChSMkCEVXa0LGWh1m YikD1Q2DR+VCNtUYpNoaIgvXh58BCpaAhkMcm/NQrOUZSqwv3ZKLMiqc8CMLETOH5M9xFLb8MEni 5beD0qMJ0vHYHEHEXIZqUN8Aaxs19egqYSNGzZAU+u4X2jAVaclXl65fy8WIIaRxg6NHJ/j42pGu uaAbN4t7Rn6vIBLswabO/zhq1+7RjQKBSLO1Q1qdUdz0Y0Lnbmt7dF+zauWlktIK2FRCDA2DEFhV kjx0aJPx45pSV0xqM4udE/zsgzAjC6++dtjPZ+ns2YegZmD0wJFkP68vx0/cbklKXSz7amyxLPJY tyZhzn+PQ0pXruRPmPBTWlqJefYHoKG+mwJpha8Y7Orc3Lp5845fOJdD0uGAhytXXmnov3TChB0z phzo0Gbd5q0JZG554zObUXNPYu6XiRppEAmuXc8vLKrFPew3RYN5+sAfxG+uMiSpGTryx9vxZeAA U53fbx/VqZ03qYfkrjBBQkDyqkpj76iNuXkVM2d1mDOnC9rr+PHbL5zNxISsm7v25LEnnV2V7SFo JdSYjZJqxOAfEuOKZFG7c//INi3gnJn9ceaGiRNtMETcsBo0AIy5vSrjRhIVu2iUEPWF4iExZGNH hNsZOMWmHvb8MEyhdFRTzH795uZw6tEMBvnGtUKcpUUr7RYVhFzgqq7OtH9PKq5DGnn0jGoEYuWl xvnzT+JEBJbstu4Y4+VpTymRSxCwlaZXn7XFJGLwjzU96117xwzoEww6xCRRxiygafPGhE8+Onvj Vq4kQ66IQy2ov0O9mjX1adfBvX2ET+NmbsHBHk2aOdGUPeXHPzMCUNx9gijV1op6Yx0G+x/M74FR 2vo1CXWmuqpKmscBFhMSim7dLOnaOcDHzx6T5waj6vCRLI26ztpK4+FmC9lg4n37rtFBIW4kKrTP o9n5JTVt2riHNWqQeKvkalyBk62mR89ARycVXEGksbLi9U+qmHDzVsm0qXtffy3yrbe7WttaZeeU aVWwhZqCIt3xY2nunta9uwdDe8UFddnZZaFNGpw6nh4c6h7W2PXU6cwe3dZOndL+lVfbh4a6G/XS oSMp2D3Sp28jext1dY0xIb40JMQ5/laJpm2Ed8yRZF5kE9evvdmpHfos7lZIsmR8IRRI6MjhO5eu ZGK2rVu3huAM0beTi7LyKvE0rxD+BPk31MKBERYosibeLsnILUeEoZZ0wLPKpD+zxNFUyPUHbVIA R2I5FHpBE6dkSpuDiFEaaQvJCIq4oKd3VcVGhXoWTkctEEyYPfS7qX5xlZdbjek3bqhSm7ZuzICQ cLM4K6sUZYx5tImWu9Aff4ovLauFS7TgkwER4W4oWRINKlGbnFY+oP+64kL0toQzO3vb7dtG9+vj w3SYPVE8eDBlzpsnLl/JA6bZdkNEaHKqDp18Ro5oNHBAWPMWnuhwSb6ygSwWqkqcQxTcROjrNwOW K318nHMLyk4cT+/XPwj6trW1lrH/TVZt+uHWU5P2hzd3Tkurjj01tklTz+hR2/fsSerRPeDsmRxf P0e1Rjodmzls+JZLl55q3sxz0OAtJ09khEd4DO4f+uZbXaZP2+/uYX3mfJ6Hu93F809q0IVgUkml J95ITYYfNsRhcebt97rybKvU0N8FXN66UdK7z4aQRi7wZ8aPDftqaf+1G2++8tKhTh19r14p1dhq MtImnzqRgzrt2ZcW3txt8tPO/fttKCzVy5Le3d3+9IlJiQll7duvCgxyw0sfVE892VIl0nwpWsym DfFVVaRvGB7igNjAlD8133VrkyD9pk18IiN9YLEQb2elLFWprDVaiewbUIRCFbjAlRFsrHkegegQ wJms4kWxrIk6QYwaN39Z8vJT5QNQpu2slpQKiMmh5q7frDYqGjhGOopFmgeqkwmrcnJqDBjxCpKr u0NQQxIrqn/xSp5MDpD0yCMhuAfP32+Mh0pCQl1mPNsajKAIlaDFcvawwZuzc6u52WAdxTU2dmK/ /g3JNqNoWZWRVTZ+wvaBAzdfvQy3FZIELbFZU9+5H/S+FT/t7OknX3+1e0QrLw0mQ/gZZjTRVM2X SsUfXAVZpas2dO/p366V/+YtiTt2poY0cmrX1htuEjaJPD/zaMcuDTZ/P6a0pGL9xvibN4t274pf vKTXkWPj+/YPrqmug72AjwXB2tpZbdt558jROz9sGnXl4pOYXbez1Rw6Mn7ZykemTG5580ZBTkGV tQbeMHbdcX9F9dDeTirFDLmtDbQPQ8DmQhbe/+AUivtu45Apk1stW3apVidbW5HSp0xtH3/rqeqK 8uSUsukz2sCqvPRKm+df6LBhw40zZzO+/nLA558MhG9w6UK2jS0V0at34PWrT2uat/To2NnvbGyK KNoUFZcdPJQ8amQI9/EkXx5YSTm5Nbv3JqEeXbp4AWFki9BLEIsAH+YLTMrmY271iIRcGdnobJGY pvvRmZLQzQkIPAQjSkhFwDjQDnBiimjiH7JTGkY/exN4Qo+ILD0ne0IGSem18UhhmKwqvCkGi6Lc 3/iUsvPKqR3KYmCgq6MjHZwFb9ev5cMXdHCwa9XSFRTRAZ04kg5O/vvfbhorFI8/wWgUxo/dEX+r AA0D85BhjT327Y9upAxrOMW338W9MvtgOW2SpfYMNx9Dn2efbY+JYi0GIeYqgnkE86CYKkSdEvoT 2urB10hIlb1/gHMkyU52VpMntXzxlUOwf++933PNt9fRAxrqDOUVuuTb8oxn93fpFOjt7XQzrhCk 2rVtCKlgpRGb0FBVNC/a2asRk7AQqhK7RPqiVI2VKj+3+rGJuzJzKtQ0e4gpUTgdJpNgpNczEIfE VVCAw47d1UYTndiAihRNpaSVmtTWz03fV2dAXxpQpzNgqR3KGDUq1KhHS9diLG/AujxpilpfUgKm HYR5H54CK106BIlaFRbhkT46OszV3QqGQXjqyVZnY9PhdyPnmjXXRg0PNQsEqidPSNixM9lg0OGm V4+GJDuaQRANYBpNCLnUaPMEFhAFnpROn/Shpg4dGKG60HOqQUFB1aWL2I1Hybt2C3R0hFzKf9oV hw7R1dlh7NgmrSK8GO7C9bjCvbtSMrIq3FytBw8O7tIlgOpPlpAAxKXgSp2QWBx7IjMhqaSiqhY2 OzjUtUW4V6eO3o5OZMjvH2RVUUE1URBUWImm6UaaHFbdToTjL7SIaODiYo9SioqqAoNcbKxUo0c1 p/bD/M95/fCBQykMLU1YmHvM4bHoEPEM1CoqpOef37N23XX01zTQEa3HRIe//Grnjh29CcGCXhZg PZSgNCcIAVWgSrG+2f9B5RR5mVPe5wsr8jAJOp0QPTbsuRd3paeVjRge8uWSywaTbG2n8faycXC0 2nvoUSwo1Rn0Bw7nQi+xsalBjRzOncvW2nCZmD5EDQ1y0yYNUOVDR9MmTgiXZMzRXj1y9HZRweub t9ya+dw+9KACtnII2A9AZoAavyiMHhv+6edn5s0989bbnVGNkgq0bbltK/dL53OXfTWoUWMnSY+B vKzHWrqggptODRMmDJOn2BQiCGUl8ASk8Dbu4OP52e1GDGsC9owG0zW4+JBaHdhSaTB0HTq88Quz 7HV6HZC0b3daVnaVf4AjIwzJiPmN625B7Pa2dlhZAiKxYxS+EUohYwF5E8YhUArEvdkeKg+gDDRN miNVLN/J0xljRm2loZAg3IibevZU1vTnDhtN2DkGIsKCBee+3zJ49PDwJYsuvfjSUeyrQjIk/mhe 7PyPol55vTOPhKgolIJx/cyp+zZsvGmgET/6Yt5lQ8ZbWL1m2KQnWjJH9/+opDEBVc3D05bYQ01E MTu3AiMWLOFAnCi3abjbraQpOp3R3pY7KVHa9EP8ws8uMIzkoIauMUfG+frYEd8wq8V1PaLWJMTh iCN0p+7Tp/H7c3t26exnFga5yMpED0GQ+afWjrxwM5WmCx6UdksJmOb9WafSaLFaX13n5eU4Y2qk p7e9vYMG642QPWT99bKB0dE7IpqvsrJVPdK/8Vtvd2zXLuCVl44tW3y9pLLO0QajNNIY9gRVVEvD Rob2iWr05OPbF39xqW+fwN69YXQ0PaK+w1Qr7OTXS69Nm9EajrRg4t16VDWxYyfvt9/t+e67h1eu vubjbZucVP7pwp5vz+11JCY7IuLbZq1dq0rr4Cqg+6buEIBET4kpHT0msLTt2vjN++A08PPGm113 bL4TPWJn244elUWm5av7ubvZA7hGLGQCYWpB5eNlP2x4yOYt1yEFg6l2849xL83uzKYZtlCKjy88 dyYLXeeoEY35QD46WuJOBbtOIKTzA8AEd6Dc4zC8BNGAxgX5QtBIRBBnv1OtBnQIkWqN5ovF579Z fhWqMJcFSRn1Lz4bk55S/trLR2knAxWhhQawC3HOnJjoceGNGjrBHwCMQGHmM7u+2xhHIxuoXKUN bOiM5Dm51RIOq9Qqsy33Uaui7uoqHfSHhuLsgJUGyE5VV2OsxMEXyRgS6MZpaGZKK6i1NtRzI+2d OxXPPHWQ6kT9oNPhw4/6+DopTTc7q2rkiC2ESFH08Xb+ZGHUY+OxwZGgxYGBSN4I7iAiUIayFEqo OzUwc0LLN9klc9T9vmTho8+jQAQFLP26D1SBRN9vGErtX5AGDQlNTZtx+mymnY22fVtfO1vt0aPj YmOzGjZ0sXMQS0p0sA5R3YLOnH2qWVMHayth/6Hxp05mlJbUYEN7cLDbhQtP5+ZURPZseP1SobWj 2s/L9szZJ0KDye1Gh4JDYcj+7jtdo4c3uXozH9s4ghs5dmjna2OnuXTtqYuns4srDMHBrj6eTo+O bdq+o4+bK8Atn7nwZFiYi0YjHAYnp7M9vOzB1Y6fhp87W5CeWern59ixbQCAfzp2UtMmruh1FZXI j09qteXHePTgUM+atbdefKEjdymQlrhlSyJ0BZ7GTwinjgW9C31SDJAKiFAky4VjIChu8WaPkBxK NE3FW4LIyDoRBWyhN65cftXO1vrdd7o1DnOdN//MpQvU0WTnlr3y8mEHR9t3/tsdffEHc09fvYpR m8okS1cv5wcHOhD6YQs3XvtuPZb1oGlT5/b+K1YPbB7uYTKKWTmVZ09nNQkjId43QNloNVormHYw BnbM+AD9vHwMtNVevjTvA9ErUIGwyB8ySVOe3lNdWwWwaDW2e/aMCQ7FZCQ1p9u3CwcN2p6cUgBH 5YnJEQs+7I1tOErRVBYjnugp3TTFADokMoXyPegjbCnhQYjkFI1DGrDYiYhiX5s196CK8VNvH/tR I8MgbFockmUnJ6sBAwIV6AcFwF2WXNysO3XChgwkx5YkOapnQ0szkNq29RLbeeBBzyh/8AZdd+7k R+lkbEhGj0fzAxB7y9buLVp74ArKVVqFk71V737+MCIKKc8G9p6e1I2gAQK1xJckOLvYDKLOlgJm m7p09e0i8COK0HTpbL6GnQNZsXdff29vu/xcbG8x3Liaf/FSfscOGGUbDXr1xvWJsIxe3s5RvYIU LLLNY11CpWAXNaedwzSpTwkYjjCfsomMKCoDBlAIq4cggAvySgWjs5NDzLGJrdvQ3hkvH8euXb/l RT+hgbvLsVMTmzVxQWJXZ22fvuuIZ8walukIQ7ThSv583nmmJNlobb//cURQQ4KIysoYFOQUHBgO RT0ggKy9AxlslrU5qZXGatW3fT08HDt3gNcPnrl7pQaGC2npV1dOnEijisiqDRuHdeyINFyCKG3d dic5tRjuzIZ1I8eNxzvZuLkqoqCKm+kTdCiSK0BigwevdOgP4PT+j0yiEf0bmCFq9BJN8zs1GS7Q AJUBoGABHUYH+iEO6NgaKYYNCvLClBBviplmHdECN6wM8Uu9mrLGotgX5hn9IehRfbiCVBUEgJ62 nFLVQBXTCEqgW0sr5PTED3GGRL8faAYErNhZaZ+c1Pzj+Wc5B+R7g0Apa85dyEq6Aw/U9Oi45ra2 WP6HutXURuHcUf04yIjnwlgfrAXqskkolEZFy8vIQQ8UROIOFVN9vWpAm9YenAbnrK0xM4VhE54t Xz0wvAk1aKR3cyGfjybeyWvE0JqSJ90pjY/PJy5EceyEpkEBzoq+gXXiTTbB4WXO7vNBhlwSXenU NoWyClpgQMAEF/pcatcgQQsiiCMmoYPklCocOwQbmFB8651uY0aHKY9wVAcvCHz5lc75+ZXdegSM HoUjCshHoiADgbM8RikzoywtvTo3rwqdV1TvQE93bK3lBDS7TvSR+H8NaguaASaSKjGGgokUcU3f RhVYI3SCD5IYkuGS5zjwmMpVLDcxin8kLhzNJkgxJQIrjArMKAMZ0eZ4ukJgu8MXGHIRBQgN9aW8 Cg/8/k6aXKBbC2OU4A/hEnji2gjC2EdbfvLxRbh16Nd+2BT/wYc9HR2069fH0WqYSjV+bCgXQM4c B4ykUBMqj7ACLgk0ijNAUdgugNaGxKRhOKG4INHwIxIT5GUMD6UhBSXBeh+QREmoL2gU4EDSpLQC rWlibpkGMWzUqcEJGG/yoA7jS1P3bgFEhFKzjiEONHfKev9AMhIFH0+41eDDlJtTSdwwZ8ojixhB EkKkimES2GDEOwg0AweEv/12T6LLWgEiwTDOqSz6vA8pETlZxyUlNcdiMvfsSjtxKi0tvUKiVVZw JDVt7n3+7FMO9nSHfwyVP4FLmDwURcVl5dWUFemat3SjzROoPk2HKQRp3EliwBfXl10FRCj6MksG HHCgb7a49KXc0IZwIJX4RHFgXpGQ8OWSSwm3ir/4sr8Gw1wESzU4Dd1SFwNyCppJDVAorDJPdeE5 yY3LfOAHSKMaFCIiPNt39IJiUH5+Yc3xmAyMkn7cnAh2mzXz6tQBuldSAsZUWa4gljdgCOFzgg51 T1QLsIQOBduYgSUwRBMCNGmnIJKf4oPS68ksUl6k5/kC5IXlFkzonYgUWSnUUqWy5vRUOqkDmyRw XIoghRvJxdka9SaW+BkABjBRot8IlEwUGmLAREf7VFk5tUpGYhzyIzJEVrlEs9p3IH3Hztsg6+am /ea7gWrqE0kCSiAcI5CtIpfhzLmsZ6btDw1eMXrMj9+uvZScUoRRF/OFpiIm3MrXYSIH8iD5UXgw q0qaX3wSfxilYtrJKPSNWtu21YoTJ7E0D1oqSYW5DlyRoBRpkw2j6pLN5HopxIhn4GP3vjvpacVU W9yTDEkfZjmKuFHYVKHfkTEByCwfOZKy6psbNKDmbLTrgESB2iE7dYhsLdFxQj0KWlCWBqg0l26G EJXzgIAjedQgQBdzAU88HnHhbDYPb4Uft8RrrLXFJdWoz8SJ4ZY9c0hJGIKzaG9Lji9OZhgN2orK Sld3DFrJBChPa/U6nCmG0NHd29mZ+yxkxlOwzwyBf1xrGNzsr+ABTWirJVpx4ETk96DTodpSDAUS mquzjaJpMJ+RVU4WgVkisjQwrxcHl/PzD5CA6fLzd8T0Z1mRlHynAAPSBg3wMgzkpbZFFeROBoVi /uy112LQ2gDWb9cM8/Wyp6E/JaJugbTJJhMsXbpcNOf1Y4ePpBDfbFqIHlosGyxHB4eGfnazX++C 6QsuQFE4aqPQQdwfDlxBGJzjxzPSUitltXrV8qs9u2GFU11apI89ldqmQ8De3UlhYW6dOnlt3Jjg YGc9akxTK41YWWvatiUuM628RSvXESObbd9+a9To7aOGNpvzdvd2bd3i4kt+2pUUFOg0ZnQ49pjj PV6pqVi59gAKn3m6ZVWtsG79JaziGCStuzvOIQspaeUHDyTj2F2X7v69e/qjPmfO5UAJtnaqY8ey +g8M9vV2XL/uOoawAwYEAy2kcrPv+/s1JcuEwBsIpOiRTV9+/ohewq4fccf2lOvXyZvEUu/Y6OZQ FQOCRwDsxAQHOZ04iaNJmFnS3UmrxDwzD4CgJ/LnsBzCG7RUWET2aODAhdAHwYoC2iH2TOMCAMI3 rCUowUDhKSiQtceQC5XBU06ANqOFHUAABazuW2ussAUBaNi3N/XFFzsgEtdm4r/XRyAZTli3buV+ 7GiWTifdvl1hBiXKIuwrs1ewBqrvN8ffvJFLw+pJrYcNCeHSiQeeCFPaiZCWWj5v/rnV31yjbhp5 UToOcbvZdersg0OG7dp5NQ51wyScvSsvVFBuBGrVfMGtgK/+4AdrF7qQFn958flZ7bHc/eXn5z// rK+7J+39GTlyR0ioR1VNdV5BdbfOgVjcy8upXKEzPT05PHrY5otXCiY81iRnf8XQEU0Sb1egGvFJ JRlpJR6uVm0j1gwb3njBR+fxgveVKwau2xD34YcnfL1dnZxtR49sNmzY1itXcoePDD2yL8k/wBmb iNesuZ6G9wiYVP996/jmH4aPGRP+1n9OxZzMbNXC/eaN/Lkf2DVr4poYX1ZSVn3mzKT2nbwYlYrq f7+iZqFw56ry9rEdMrIxaVeQyquqr17LA84ie/pj8RdYYeuluOeE+p69SElIC5d55ZJrjB6yHIRd Qdi89hYpSZDCwnzcPcn5IwqEKgzWSG24gkUkS0MBXSlgSZhkVOI8IVJg9yteFgarRdZJFuoUk47U fv4OPXsHEHaxU+RQyj7e2sOIJJsKZODjAYEH1EJkt0BqFLJ09kxKfWJqFIjDf0msqDDMefM4CnZ1 s//s0z4Kz9iyiofABD4B6I8/PhcevmLVyiuSBBdF5e/lOm1au70Hx9y+M3PvnnFvzuk6YEBIcIir AxDJTMHAc9MjRFIpLAf6/uOBZjmF3LyaAwdTnnom4sknMLktb9p8HZ0GVkwkwfjyqx1TU59Xm2RM WGZkPAspJifTEhpea2Frp31iXMTS5QMhbTqLrVI9O6PNsOiwb9Zcs7bVvPt2t2EjQr9ddRkFYB4R T7/7ZnB8wtNnL2adOZeyes2gTZtGDB7SuKK6DvN5774bOe+9Ho891hxou3KV6Fvbik52mpijT3y6 oF9pSdV770eduTARdURXhuKom6fR6h8KZK3wR84ph0lPhAMK7DJQ5THKeXxiK1YVe3jkDykX6mHR ITDRlElWb9528/Endp69WIjdclj3e++9E/95/yiogompU+kHPhgHynojlIOFJsKiSrbiIoi8Aeus 0DSfiwMzysQKmgfcE7qm2VA4N4oiSS1vv98TfR8nk0eO2PHxx2du3Ci8k1yOudn358bu3HWba3Of D6oo+0v9+wZRNVXCwQPp1GAYL2gM4IuagUpMTC4qK6xF2Z9/EYVVY0qCrAwjo0F1NCYlsvOaOXMO 1dahRsaunUO27xydeGfasq8HDuwX6u7KkyOsBHwQBrn1ocWCAkfj4s8E2iwgCFt/TNTVVk8c/9MT T+0Ct6tWxiFWS49U3bv7atSSRmsdGemLXUjkHnHL33vgUT9/u06Rq/FSIWzdJQMhG7C5Dk0dB81q anTvvnOiqKh61KPNDHWYNjCJkqYbpioFITcbLhw22jWAVByc4Ghhi4nmhVlHWrf59qslF0wqydoG CxyCrkYKDXN1caEFP9iF9u29raBIUKG1FtSeq0u26fcD7BbhDFlI4rLQu2+wp5d9fhEsM5x30V7r MGhokAJFSsZpCDOi4O5ks3nryEH9N1XUoLs3bFh3a8O6m1ZaG7y+0ShhjAPRmx4ZHDb92Q4kK2IJ 43UME/CLSZifg2mmNVOySAxQSmGC8LR0tpAcAC6L1tnBFRQMHMIOYN0I0CBj3KWj7ycL+r3+aoyk wgpW9Zw3js1546iosiL/X1B9ML/b8KGYuPmNQK9Vk9q29/Hzc8rOLj16LDs3X+/jZZ4kIk7BiCx0 bOuTlPbs8WPp0dHNSDrUVKFJSNpUU2saPmwn9kdjRXHUsLDZs9tjCYRMNZI95IDGia1AXyy68s47 /YYMDUGBO7cnfjD/xM0bxVY25LvrqB2pgYw6zOqCV0gVR3kkIaiR87nYxxd/ceXF2QfOns9B544h bHEB3h4jtGzbAIJ9f36PZk3di0p1VlYaPQahokFXJ9naSQEB2JSp2r49Gf7HwQMpDvY2WbnlXy45 P/f9qJmzOrm7flKjIyIIdZAHdudAabIKh3RNWJwEA9Aya5++FOfy90TE7ZfwQkNlkLCz0cCwWwnW Kq2VVq0eNT6U5uUhbnb38EWUueWDjciufucvPzU2uolGY829klFvwCl1oBebYq2feipiw/pozM8B UaANUSGNqMGuCbWotVKpHCQreETgF5pGXyHaaGyxBokmbrJiZshfwEtvsBKq1mixj0Rli5fjAC7c dQIhL7/SfsHCPgE+WMkAf2hQmOakPK7Odo2CaYvkbwaYbFm0tdVGj2qK4nEOf+9uvE8arJDNQy6I Fntj8eXjaTduLPZWMu9oZuwIovp4v8prr3cYPDDwwsVntu6MjozyVdxZsvkPO4jS+bNZOMU7+6WO bdt5tW/n9eLsDnZWduvXXdJaqUW8LkgNG2Kyd8L7B/B2AQmbM+ysMXklDhu4qW27NYs/u9qlW2Dn jr72TuqoqIYff3JyzpyjE8a1bNc2oHXE6tCQFV27rq2pMzjYY8uaLVllWdWje2CffoHvv3946Igd LnCO7W3dPWz79g6Z/+GFYSM2BQU6r1p2rahQ5+xsDTuKXREaG5UV/kOj+JEXNdbOCGMQKKGIdf27 EsLgFunhilnMmSxU1RlKinTkWYoihqgOdthug4Vs2DBacCNgwYxB+TSDQF4dpm0yMqquXc6/k1yK tx7a2apCGrm1bucZHOiiEOHEzAnOBuhM+UWVoAzJ+Xg7aqxo9gcMmwxCfn4V2UJR7eVpq4UcySbK Br2UT+8io0P97s72DnZYy2DNE/TpAm9hvJVQmptdiXVLvLPJ19epYbCTm5MNof03gsIVanD9cn6b 9t/CR+gW6X/i5OM81LJ0Gmarx5UlOgR3Bf3UuFhbkAAvmaAoEgUlULoEvnh4H2Vlep1OjxU4tGUu RcopqAUvLm42hYXYpWFrraHNJW7uDrZWKrxlys7eGmd3Cgtr7ySVYpdQ6whv4BVM6w2mG9cLsOQY EuSG5njjZpGusi6wkSM2vJVX0Jv7/HwdYX/Q3GH9bl4r8vFzcrDTllTW+vs4YvvPjZuFoaEY3apv JxW3jWhQXm6qk3Q+no7Y7ILxjb8fzisasnL1Hu5W5KESbmiHxgP0Ui8xGrTSDeuY5U5YNGNO5gVi nhZWEEkIvAe+hCd6fyZtr+UPQi2nqaePCwhOMT+QBDcai+ZQMjUepWxLDp7cQSzh/mdVAHN3cXYP RNi3UHKzqbO0LgvB+31TQyRhy3LPPhtPHU/BrOqp05Miu/gjMWrKFpHahFKiQtZSLwUHZqowoWYU I4J8X3OW+xX6N8WRduHIYa2FR/qQCSvwZ7JCUZZGy2ybscs1UvRFoieJ8nS3ohUevbG5QR4MX81J cIPpBxRiyUi2gOTPtgn+JToQngeE6hH7M/FwlSkphAlyylrg78vBQoOBiBbPrBJPymsLqKcGNZQF Pw/UIQHqwBHQnWOlB5rFtCVBE2AiO4q5KIiHWAM4lE8khUHlQTdRwHgGGehC6Yg5JZNmpBEgoFoE 7qYpGf1xxehLCVA/WVsqig0m0pKMKUB2eKpc/9Yn5IisJM03X+3WLNRr4cL+oXhfAFGjlQzKzdUw f6IiiCKu8IeaElmKoHuqC/hTOFFEQ48fWiC+IWf2tsEeBdgQMkCWWps5IxUSt2xEcEFb86klYiAM N5PmTKi6iCUC8Ow5JaiRBOgfAuEA4CSbY6DJLqRnRCpfVEUoi5BDzRhUSBwWLhCJ50TPrKP6CQfK 9+BAllI5mUtUyGdCTehEMcRP1LhjspCgYRWxi3uqAn+zQAiWqC9xwE+JG8tUHFJSJqJBUFLUR+RJ qRxNj+4GapIsP44CTRYRlYcIEr1iqklCoEXUGTJ3Cd4tmin84oNVxhadKeApNknT0SeLnVOiuSBw iErCzKME1M9cNLKY2Ua1qVMBNXzRLIHSFfyixL/7FlJEpXm5wexFKCWAPXMgoQEl9En8wXzwGSzw TVUgPVgWJFFZpS6K7pAft6QBCJnxQE8JXgqkWL+ch6RkvjAri2NQIn1zKWY6lJAhwPzgKWnqwYF8 SouMlVKUwhTuKS8XjW+qMyup/tE9F/U6M2NIyQXxkRcBZNOIm4PCH18SzlgilIxiFJFxeQws0jTz Rh5bPR+QEdbZcGvubignWgvK4d6BbumGKfPNfT5g7ahxIY3SBAhPXBbrA/Uy+8qUyGxp7hIk3qAk pQCFW9KlIo16mdyn1L8rCmWag0UICqTMHFkgwPhgZ4ZwyQ1GyclG0cIwKCk8m4V8b9MiGMHW/Kqx ERny/rEbo96AsBKJqFlnLBhuz9z71zN8V47mqPt8sXm7T/zfFsXtA+LCPDlZI269ivSUIhBDzVq5 UdqoIiauOdoVMrKzTc2X9xmY2wmG2hjfPXQQWPg3c8tfZqtsbhikFwaAZeSnJP3lJ5BBGWB1eCuT 2WhRqp8X8ct8f/ne3FosXQ2YIMNJXBPkYBoIJ/z0ru34y4X+JQK/b0v/EnlUGPpC24XtoZ6EOnk0 JtzTH75Zn+TlcDHmto5rNt/8AhPeHEROEFkv0it9YScA5jf/LkSCDv7uH5h9co84QFyMSOKcdmCQ KTG7WXhOm6TMCX/9BaNCjiztPiS/TekciAJ3snwBNiwEYGP+nqBgkWiRSLmavA5MfRAbNnI5IF5K wd0RXfy/HB66pbSYPcyZYw78XhixpYcSfukYmXscgi6tASEZgM2+EckVmlV833q39n+VoJmHejT8 r/k5PRMBAi2WBnoFTonP3w7U75PVZ9NEyRROfi4TxeUiyr9N6E88URqLmSagDxQqQzpLt648+tvL /ROs/hGv80+RvTcTTAv6BW6lMA9QHTnOCNAi9qUh3mJ7EMcJ6Jv8STQYSsmIhB+JC3zgXunrjchq IYXYPx6oOAAC1P5QnrupgJ76QC1HMds8JqD6gU80oPoUv74gL4V1j5bGfwon91T/13n+hhg2uiiX HAaFP/bUWYxkJtE2iCuuHbP3N5T510g8fEsJNd1TVSx/Ya5fiVMUCNWykMi5BOAAUuUC9SLY4AYe G0uTH3Fa7txJwIpa/5oIzPp4EC0FjncLYw7BVb2xp/ZDA96f1fWXbCEXGXq29PeIhKpoaSGKZHjM 8cvcf/b+ZzxBtmDBzC1TRNUIl4jHLbNxt5p/tsi/mu//IQ4IXfRHm4LxRZ0eAQt9Bz4tDqV5YZSm DzmeJzLpmp1xMrF0A/vK8sOeCYjyT9QfalD+6vM+WAiK2urTUF4LhogC+2OIAVMPMpSMWrNxZjQr peNEKc2zKZiwMGSeqbDc/qXvehEpooJBxwVmD9AS6oWnIJWs/f83Qr2sHxY71Eez/SCcyVirlPVG +eat4lsJRZVVWOPGKJB8f5ravRsIuNVV0smzeSWlurvRpHi0azUOjp0+m5+RheXKuw//8BUKurcs Jd+vY+rp3fsIiEQgClyyKvZszuLF53E2nCOpjf1WqJ9hoAskFIX8Qt28uWdnPnPw1IksxjQV9AAK v0X5d+IV9olxxa4L36y+duBgKkrcfyB11arriFXcIi773sr+DuGH9/ihM0GdmtmJJN8l/nZx+9bf dOmyLqrX99EjtsGpNNQJqXeKLfAi4VELxgu0kkr79dhw+kymYosQQ02bjKaEnxkc2Hv9+rVxnPR/ Ew72tFZVoJ2g4mTz/kDm+jTKhaqmSgbDXLS0fVvi7BeOYGMl6BhphqE+8a8Is10iG4k/PmwwffLu uXPPeDd0LCmvwUO8st6Sh47//32B7bdlBkpvMs2cfnDpskugv2zppRdmHKFDKTSPQRViHv++kv8s pYcOStQTjZL7ClokWPAx3ouXfztxSvLtKZ982sdkMH344fFGTVccOZiuqzMV5OlyCqrLSmqw/B/W xOXAwbHdu/rnFlRjdzcqCOBiC1JqSoWdrbz/4GPjH8fpQSmFdoHoM3LK8U4SnApisUr5+dVHjqXm 5tdkZZbjdxd5CA/QmI4fSw1qvGLhZ+cK6YVpcOBU5y/kHjmWWV5Kp4gI8HjH343C2NNZpaW1eDMb boEgXB+OSUlIpNffoIj/vnU0tMmK06ezcFLIzpbe5YxNWqBTXQajjsUwSV8nnTqZeeFSDtKDJN5x DyZ1dfpLlwuq8YOe3CfgZ+oOHcns1itg2tQI7LJDn5qYUHP4cEp6WgV15aKA12hlpCOX4cLFPD2d 8wG20JYkvH346JHU7FzapIIXiybE55dRuehY9GjGXAMBP1l3OCYthX4wBZRUiUklMcfTK0rpJA2O +Nm72trbYcZXcrC3cnC1oVfA4KxSekVMTEpRAUiRT49eCO/8KC+vOxObza8wRkUkVPPc+byYmPTc nCq+lU+eyjx3PgfPlHLxheqRzP5iqyLf4qEGqiMC7Z5E+M/rx0VhPn7wEFtd8FaWwtzqhsFL8RM2 zZuvTE0peWz8Vg+PL3y8Fg8atPlGXIFW/VFMTPZ3311Xix9Cx1h8Wr7ycucu60rKdTbaT+Z9GAsx 2dgv6txxXXDQMkH4EL/siYHU2fOZjvaLQgKXde66Rqv9ePEX56lgLn/yk3sF4QNv78WrV18HVvpE /dDA7Yvw5svc3L84cTIDO77eevekSpgX0XpVcKOlHduvQcylcwUeXp+1bvmdjc1nq1ZfgZ58fL4A kVatVgHxH84/i5876t17vVa1MLzFcvzWCTbMtm/7TWjI1x4Nvnx66h4UvOOnRLX649atV1tpFqBB Ykcp2Nm0MV6jmm9v90mvvuuwqfbNOTHW1gvat/1Wq13wyUfnUNP33j8J5lu1Wu1k/xn25IITCHLz lnhHp0/btPnW0WkhdhkD4k2brggJ/RrnJ3v32jhr1j5UExnVqk/CGq9CjF6SP/rorIP9whatvvHz +/L2nUKc6PP0XDx+/E4w9vjYnR5ei0D5dGw2JAayrm6LLp7LQUEd2n3XuMlSyEEU53XstK4Oe7UK a7t0Wm9l9Wl42LJ33j5RUV4X2X09pOTpseTJSbugCBJyfTArvf7+f7ugod/DDgAfFcGMllbUjRm7 TRDet3deuHVLMkTzyYILwBOsApI8MmSLqJn/0+4kqOH8+SxB/GDPrqSy0lqIZtqMvaDQtvU3OJtC b7wT5r7z7km8z0Wr/qRR2JLE26WDh2xydfkcRfXts8nG5tOqyrqbcdim/+GChbFAKtfRFHerEA3g m2+uoFxsVheF98+czcEuaz+/r1q1/gZvrFQJHzw56Sdo7sWXYoJClkDHPbqv8/L6Ej88OGLIZge7 z1GTt985BuAWlVaBpgLib769vu9AKqilZ1Z8MPeMKM5NjC/69LMLiCnIr9235w5A/Pxz+0EfRpTk IOHnlA0eXovHjduBu4uXCpEF1UH8lOl7BOGdgpK6j+bGovqffXImK6dCQj0lGTWyt13Uu9/6wvxa X/8vu3XdYJRNp05nqdXzw5usaNJkWUWFPiERx6rmTZtyABUsL6tJTi2B6F586XBuZgV4eGn2EfDs 6fnZY+N2otzxj23z9FyEmG6Ra4YN3YLT646OXwwfsRUxzZqvsLZeCPP/7jsnBfHdsvKa//7nOGR+ PDYTlGGhP5wP6c2/cq1g1fLL4BMvHEQ80sBAAgAACL5JREFUSRn/idm/FB569809CLuV5MNLLg5W mzeN3PfTeFd7m+gx6zNSqxwdwIMJvw+Cx8Y6Y+Ng96GDQt3c8FsNWMuWdEaTk4vNiFGN16+NPxyT lZFZM3FiU/yuJXZToddBf24w6Z6c0DYsxMXJ2U5ro9HpjTdu5rZt7WVvb+Xr40Qjd4zZkRDftPEJ mXCWhTovdKZ4/UHLlu7Yodmvd+DtW2U3bhag7+nTuxGmnYIC7dUYlolySmq5rtbw2ON70vOqW0W4 UVdHm3SwesNvBMGoTRTwSj4fL7w0QYsmcfU6DjapZzx78MctCY2b+FRVVWEODBWfMr2df4C9ll9M RIM/LFRBdxi145dfE/PQp/ftGwQ2e0cF47hL+p0yvLYHApgxq62fjyNcBJRSXFaH98akJFVNmLAd 72jwCbDF9rXILn6jRoXhJyZemt3V0VF97Qa9YWvEqCAQtHe2TUspR1mHDqU89sTupk09He2p4nj5 G532QDoTfgVVjReEZ2ZX3rxZPG7C7oYNbXDGDQ+kOlPPnn440uDuYouRqMEkXrqc5+To0KOzP0SE 16XidBgc41dnH1q1NiE01KO2Fj4SBayG8546vvmzH3/n7MNv8EDDO8vYU1Vda7CzUw8cGvp2XuW0 afvSssoYNVAbYRZT5LBquCTVo7FhQzrNoQszpnbavvU2lDFyZCNXF1v8MjA26NMQnXSrxvZeoIde JYZXUllr/Bo637xRmJ5fcZgPlCmn5smxxaCKZp/gx9Iib1ioC0CRmV3VNNTt0tVcH39bvHoUj48c Te3bPwhvn9PicIEoYsdrXW3Zj5uH4TdN8OuHYA19GTjDqidPTVGl8T4tdF9wnFVaoQl+d0cyfvpZ vzYReMseoe761WIc86ilH32HF4t9DCCipnfDYwGaTjEJeOcMbvC668hIfzgtQLC/nx290tVEP1Bn g1PvlEpwctFYW1vj9ZB794/VaCSDkXYCXLlRfOhImour7ReLLzwxqXnTxvRrp6dOFQwYGIZZ08CG ThBSr25Bi5f2Qzx6GLynj5oELdOTf4k3T9paqb28nPEbQgf2jYMa8HOz2BNURxOmNJmAPgmi1qrE kMYu+/bdvp1YFtbUBcjGPm5o54MPe3bq6IddSCY9LAiSQ3eUU2GYmP5T4aGDEqyTNUAAs6LxjZeO n72QHRDitHtXUkQLH7z6CL8SgtCn75ZN3w/SilJ1NY6WoFL0U5Y4WF5Hv8cm9Ijy9fdzzsouf+qZ liCI9NA3XsyJ7f64wA5q2MK6qrrqSj0g+NZb3ceM2BYWsAL2EqckRQlGlwsXVHh5VQM3x9k4Rqwz TJ/VdtOmxIH9Njdt6hYXV7j++xFhTTyefqr16u9u4Hdh3Z3sbGxoruqjBT0GDdgU0Xo10Kar0B+K mdC5kxcY7N197dYdo/HeUVKu2qTH78fB0Ffpn5/RZtP6W93x2v2ePvn5tT/8EI03hmJxn95IAziI dDwEASpETfW1dLqlS0ef6NEtXnzh0KFDaT/tTJr+bBtvX4dSvHKXfnxZkR1toXCxt/1iSZ/pM/a2 b/Odl7cdXqP19bJHhj2ycfaLnYc/Eta604pZsw6vWN73yadaz5sXg1kLX2+7deuGvv5qt48XnLl6 rVDUilHdfd+d26Oq2qCvRZuQdHqpBie6VeL8eZH9+n7fucMaZ2etf6Dzt6sH6CtE/MoCQKYz4u0J or7G9OrsyB83JbRt901kN/8+vRo+/0IbOLhRPbf0ivLJK65dsrhf1y5+yhhO4Zhr+Sc/lHHxn8z8 h7JRw0FrM0v3RlzJyWOZ+fnleF3n4KGh6HFgwk6czIq7VTBqWFOcVsZYr0s3P3Sg+HXfiydzWnVy 82qAM5MSBsU5eTW9+wZi+h3zlDFHU9B2Q4Pc8ArTRsHOoWENsLMfv5XZvYe/0WS8eCEPRqGiUj9s 8A8bN40aNxbnhs3WGr8ejPe3hzfzwo+3YbC1e3dKeXllr95BzZrhNZ4qvNP1VlyhewOHRV9cvHK9 8NL5CbCpGenlBw6nGnQyftGN3xIjHz2WmZRQPH5cOAbmNHXVr1FFhenc2ayuXX0dHLU4S3Bwf2pO XnVoiEv//kGV5TJOqXbr4ufgjN8HRZ+N0ytoSsLJE+nObratWnoqLWb/weTk+OIWEd54BxqEdTup LC25GK8fwjEui5ypU8EU7+mTGSq1tksHb/9AhzNnsgcObIQVibNnssvLjP0GBONw3uGD6QlJRS3D fdAFA3Ox57MvnssFY1HdGzYKcT12LKOBm02LVg2u3SgpKaruGRUIA3njev7JU9laW3XXTg2bN3M5 dSbb1kZs19YvI6M87lZRVK9Aaxu5KN94YP8dSLV7j+BWrVzwK3f7D6RnZVfg/An8HxsHeq2kUhcL w3/y+6GDEn4v4ED2kjlEAzVv4YUd4Ch8IBJaQqcGy0f9NVLyRgcYISUXIsh8sgnlK6SHJBFFHwhk O2F8ECkKO3bdmT3rsKe33dUrhV06e+38aSwMAKXhopXmgeQ0p6i4mwoRbjzTpx04FZsNJyIpoXDt mhHjJjQzMwxu+eAHClLaF39hvMVs0AwI6QP8wzVGZVGcwq1SDj/kitMDJRd8O6V2FiJcu3uZBCFL KchG/QP5IAjMqvkRV5nFwQXWl0cygY2j5JSe+wrqkevPNig71+gxTYXRZJGFZyUHPkFRqS0nIDqQ DDjBf15RpSrQbimairaURQTp6JJFM3T/v4b6Vvi/Zvyj6RVvsp5FVN6MJIvtBKH6SGpq5qR34aiU RNHKI/qsT6Y8hEQQa6bYvJnb0KEhmZkVEZM8pk1tqyCSc1MuM41fE+EHQ4Y2qq7VV1bpJ4wNHzgo pD4XZ2SomfWs0FEQyfxwUuLfwqaSQinnLh1ccRp8KpxYbs3ZFFGYH5m5NZdiRqSlAE5jloPyRTH0 vz49rjlwUnN6fvizUiycWLJTFk5MX8rFPbeUn8akFMVVUDZ2mFMgEuEvIRL5/w9myO7SD+hI0wAA AABJRU5ErkJggg== --_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: image/jpeg; name="image002.jpg" Content-Description: image002.jpg Content-Disposition: inline; filename="image002.jpg"; size=4168; creation-date="Thu, 22 Dec 2016 13:58:30 GMT"; modification-date="Thu, 22 Dec 2016 13:58:30 GMT" Content-ID: <image002.jpg@xxxxxxxx> Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMg IyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09 PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCAA8AMsDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aiii gAooooAKKKKACiiigAooqOeeO2t5J5mCRRqXdj2AGSaAMDxt4xtfB+jm4kxJdS5W3gzy7ep9h3rm PAOla/c6m/ivxPfvEssZWK3dto2noSOij0HWsbQoV8deKr7xdrh2aLppPkI/3SF5A+g6n1JqRLfV /i5qxmeSWw8M274QDgy4/mffoK9NUlTg4bfzPt5Ii9z17rS1HDEsEEcUedkahVyc8AYrJ8QeLtG8 Mx7tUvUjcjKxL8zt9FHNedGLk7RVyzaorye5+Mt7qExh8N6BNcHoHlBYn/gK/wCNej6BdX99odrc arai0vZEzLCP4Dn/AAxxWlTDzpJOegk0zRoqlrE13baRdzaekcl1HEzxJJnaxAzg4rmP+E4mu/sU +nxQvazTWkDs2ch5T8yj3UY/GphSlNXQXO0orlLvxVd2/hjXNSWGEzafdSQxqc7WCsoGeevNOufF 72GqXVvNaNMqG2jhSD77PKG4OTjHy0/Yzf8AXp/mFzqaK5H/AITuAbLpoZhZtaJcOmwbo8ymMknP QEc4HvU0/jzT4r2C3WC4lMzkKyAEbA+zeOckbvT0Jo9hU7BdHUUVy03jmGGylu2067+zpdG1EpKh CwJBJOflUY6nHWm3Xi+W21j7JFa/aVe5ggUKwXZ5kZfO7JDdPahUJ9gujq6KxNH8T22tXP2e3hlW VA5mVsfuSr7drc9SRke1bdRKLi7MZVs9TstR3/Yry3uPLOH8qQNt+uOlSXN5bWYQ3U8UIkYInmOF 3MegGeprynSv+KK+M9zY42WOrDdGOwLcj8mBH41v6yx8Q/FTS9LT5rbR4zeXA7eYfuj+X5muiWHS lo9LX/r5k3O0j1KylvXs47uBrpBloVkBdR7r170s19a21xDBPcwxzTHEUbuAzn2HevMPD3/JfNa/ 64v/ACStLx1/yUnwb/11f+YpvDpTUb7q/wCFwuei0Vwnib4gXmheMoNFttL+2iaEOgjY+YznOB6Y yBz6ZrOtviR4gh1250TUPD6vqhUNbRQPkZPPzH+7jnPtULC1Grr13HzI9Morh/BnjbUdZ8Qahomt 2EVre2i7v3TZHUcH8wc1UTx3rniLWr2z8I6ZbT21k217m5kKhj04/I4o+rVLtPp9wXR6HXD/ABb1 SSw8GPbQE+ffyrbqB1IPJ/lXVaPNf3GmQyarbR214c+ZFG25Qc9jXEfE9fP1zwpbv/q2vgT9cijD R/fJPp+gPYoa5pjW+l+G/AOnsUa8AlvXTg7ByxP1OT+FdD4c8Q/avEcmh6Dp0Y0PTE8mW6zjEg6K vr/+s0W+kXd18TtX1CaKWOBLBLa2nI4y2CxX6c1ga5NL4T0m08F+F2e41i+JMs/RlDHlz6E/oBXT pUShu9/v1bfoidi14y+IV0+onw94QjN1qjnZJMg3CL1A7ZHc9BWbY/DrSNDiOsePtTSe5c7mSSQ7 c+nq5+lXbfTT8PrO30nw/YHUfEuoJue4dPkQdyT2UenfvVrT/hjFdXI1LxnqEmqXr8+WXKxJ7D1/ QVSnCnG0XZf+TP8AyQasoP8AFrSbH/QvC+hT3KrwPKj8tfyAJNd/4e1O51jRLe9vLGSxmlBJgk6r z/WrNjptnpsIhsbWG3jH8MSBR+lWq46tSnJWhG3ncpJkN3dQ2VpLc3LhIYkLuxGcAda5yBPCc9ja aXbiAwaozXVvGm4GRh8xcHqCPw6Vt61ZSalot5ZwsqyTxMis3QEjvXGx/De4hmiMN+qpGs0cRAOY I3jICp9HJanSULe9KzBnU/2fo9j4fntTHCdOZX81WbcJM8tk55JrP0aw8OzWsclnCxjIivhLNuz0 Owlm9AOnasKL4f38Om2sCfYXaKRzJFM7PFIWj2eYBtGCMZxj8c1YPgW/GnxxfaLWRore0j8p93lz GEsWVv8AZOf0rS0En74vkdEui6HDBJGsEBRrVoWQNnMJJYjGemSTVB4/DS6Jpmq7DDaxIqWbR71c qeiALy2SOnNU7jwpq1x4jtNQ3WEUFvgLFENu1TGUZeF55ORk/hVs+F7yHw5olvbzQG/0lkkTfnyp CAQQe4yDwan3Vb3/AOtQLcWnaLqmkC3WGSG1lmdjE++FmdidwIOCc5PFOutE0BIpJJ44IliMcrOJ Nvl+UNqnOeMDisfWfCuqa7qdlqF4bYGJPLe3SZgqfOGDq23OeMHp9ajl8ASy/bW8y1Et2LxXk2nJ Eu3ywf8Adx/hTSj/ADh8jotG02z06e8uIZ45ZtSmNyzjA3DAAAA6gDv7mtE3duDgzxA/74rjbbwV eR69aX8ptykccQ2RyFfIZFKnb8vKnOcZFaeh+CtMsNGtra+0+yuLmNSJJTEDvOSc5PNROMN3K40c 38Y9Hml02w1uyRjdafMM7QSdpOR+RAq98LrW5ubLUPEOox7b3Vpy5BUjai8Ac9s5/Su6oo+sP2Ps rfPy7BbW55NqbS+Cfi3Nrt/bTvpl9GV8+JCwUkDOcehX9asSamnjz4kaJcaNDO1hpYaSa4kjKKSe wz9BXqDKrqVYBlPUEZFCRpEu2NVVfRRgVf1lWTt7yVr/APAFY821WOQ/HfSpBG5QWuC204+6/epI I5P+F9XEmxtn2ADdtOPur3r0aip+saWt9mw7HmXhuBz8aPEZZHCPFgNg46L3rM8Hayvw41XV9I8Q W9xHHLN5sNxHEXVx07eox+tewUjIr43KDj1Gar6yndSWjSX3CsU9H1WDW9NivrVZVhlzt81NrYBx 0rj/AItQPHpGm6vGCTpt6krYH8JPP9K76qupadb6tp09jeR+ZbzoUdc4yKxpVFCopW0G1dD0uRPY rc2wEm+PzIwD97IyOa5TwR4aurKe917XkH9s37ksud3kx54QH/Paup0+wg0ywgsrVSkECBI1JzgD 3qxSVTlTjHZhY4K71vxV4pmeHwzYf2XZAlTqF8u129dq9f0/KqqfCI3sgn13xFqV7OTlijbR+ua9 Hpa0WJlHSmrfn94W7kcEK29vHCmSkahF3HJwBjk1JRRXOMqarfDTdLubsqW8mMsFAyWPYfia4TT9 a8QaTa3lldrN9ueWCaBrtd4CyuFcfKeiknHPSvRaMVrTqKKs1cTRwcXiTxCnnpM9izfZbhoneJo0 V4pdgLHJ4Yc0xPFWqytpVzHI5SW1ui0DwBfPmjxtUEE9ecYPOK7/ABRgccdOlX7aH8oWOB0zxRru pW+nIktmJLu78ozLHv2J5W87lB4YEEcms9vFV8+vi9uZnUWsF2HtYYG/cbWCruycMSOe3WvTgAOg xRimq8E/hCx5ynjPXbnT4/s/2cTIbvzJGgLZEShk4BxlgfXFdJ4W1bUdRmvItTERMawyI0cZQASR hivJOcHjNdFgUVM6sZKyjYLC0UUVgMKKKKACkpaKAOX1bW9Q03xTBBcEW+mTBVgkEO8TSnOUZs/I eBjjmq+meN7m/h09G0pkubyCW4OyVSsSI20sc9fpXQT6Fp11qSX89sslzGQVZiSAR0OOmR60218P 6XZSB7ayijYK6ggdA5ywHsTXRz0uXVaiszE03xtHMlnbzwytd3MMEkPAXzhISCQO23HNVLf4heVa W7S2U9zuiWaWZdqBFaUxj5c8nI7V1MWiadBLaSRWcKvZoY7dgvManqBUQ8M6QIvKGnweXsEe3bxt DbwP++jmjno/yhqZ2n+Mo9R1iKzjspFhnlniinLr8xi4bK9QM9KhbxlPFd3lvJp26RL8WNqqSj96 xXdkk/d45rL8O2EE3xI1a4ZFD2pcx7FVRl8bicDk8V1dx4b0m6e5eayiZrlleU8gsy9G9iPWrmqU JWa6CV2YK/EWCaNXt9PncIge4BkVfJJkMeOfvfMD07Uy6+IYFrqstlpk0gslkKSOcRuUcKwJx8p5 yPXFUfFOjWI8T6Bp0VvHDbHC7Y0UEANnAbGRzXXnw3pLSXTmyizdhlnHO2TPXI6ZPrTkqMUpcu4a mEni+7tPEd3a39qxtQ8EYZGX9wzxliD3bp2ot/iCl1pxu4dJu2DyxRwLkAS+YSFwx4yMcjtXQx6D psTKyWce4MjhiMnKDCn8ASKjg8NaTbKVhso1TzFlC84VlOQQO2D6Vnz0X9nsPUy/EWsajaalodrb gQJdtI9yQVZlVF3EDPH+OOKrf8LCjW0M0ml3Cl4Y7i3QSKTNG77Af9k5I4PrXUzWNtcXMFxNCjzW +7ynI5TcMHH1FUIfCuiwJKkWnQKsrKzDH907l+gB5xRGdLlSlH+rhqUtc8X/ANhLYxz6dPLeXUbS fZ4mDFQoG7kdTyOB1qOfxzbWuoX1pNZ3CtZ25u5GyP8AVbQQcdcknGO1beo6PY6sIvt1uspiO6Nj kMp74I5qI+HtKaYzNYwmQ7ssVyW3DDA+oIAGKUZUrarUNTFu/HDWDWUVxpNx9puYzP5MTiRljyBn jqeensazj4zvLTU3a7dTZw3V6rqsfzGOJAVA9+a6YeFdHEMEQskC25JiwTlM9QDnOOBxU39gaX5h kNjCXLSOSV6lxhz+I61SnRX2QszAPj4/ZLd10a7M0zyKsRYKMIgcsGPUYPX1qZPHUEsVzcxWUxs7 O1S4uZSwBTem9VC9Scd+la0PhvSreONI7KPbFu2biTt3Da2M+o4oHhrSROkosIQ6QiAYHBjAwFI6 EAcc0nKj/KGo3w9rv9vWck5tJrUo+3bJ0YYBBU9xzWtVPTtLtNJgMNjCIoyc7QSf51crGfK5Pl2G FFFFSB//2Q== --_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: image/jpeg; name="image003.jpg" Content-Description: image003.jpg Content-Disposition: inline; filename="image003.jpg"; size=8670; creation-date="Thu, 22 Dec 2016 13:58:30 GMT"; modification-date="Thu, 22 Dec 2016 13:58:30 GMT" Content-ID: <image003.jpg@xxxxxxxx> Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAkGBxQSEhQUExQRFRIUFRYXFxYVGBYYFhYWFhQWFhUU GBgYHiggGRwlGxYWITIhJSkrLi4uGB8zODMsNygtLisBCgoKDg0OGhAQGC0kHyUwLTcsLy03NzAt Lzc0NywsNzUtMCs3LCwrLCwyNywxMC0tLSwsNSssLCwtLTc3MDArLP/AABEIALsBDgMBEQACEQED EQH/xAAbAAEAAgMBAQAAAAAAAAAAAAAAAgMBBAUHBv/EAEsQAAEDAQMFCQwIBgIBBQAAAAEAAgMR BBIhBRMxQVEGIjJSYXGBodEXQlNUkZKTorHB0uEHFBUjM3Lj8BZDYnOCs7LxwkRjg6Pi/8QAGwEB AAIDAQEAAAAAAAAAAAAAAAQFAQIDBgf/xAAyEQEAAQIBCQcEAwEBAQAAAAAAAQIRAwQSExQhMVFS oQUVMkFhceEGM2KBIpHwwbFC/9oADAMBAAIRAxEAPwD3FAQEBAQEBAQEBAQEBAQEGCUGtZXl5L8b mhg2jW88+rk50G0gICAgICDmZVthifEe9N4OHJvcecIOk1wIqMQdCDKAgICAgICAgICAgICAgICA gICAgICAgINCV+ecWN/Dad+7jHwY9/kQbEc1XFrRvWihOq9xRzDTzhBegICAgICDkZfaHXGnAuvX TscLtGnkNac9EFW5+26YnaRW7Xk0t6O3Yg7iAgICAgICAgICAgICAgICAgICAgICAg5ktpMxLIjR g4cg/wCLeXlQWSOu0hioHU06mN1uO07OVBtQtawBg1CtNZxxJ6SgtQEBAQEBByN0FmvhtDv2hxDe MML1OUYdaDjl5cBI0/eMpe5QNEnsB6DrQfTZPtYlYHDToI2HWEGygICAgICAgICAgICAgICAgICA gINK15Ujj0uq7itxPyQaualtHDrHFxRwnc/76EF0toDKQwAF/qsHGcf32hNobA3W+R5/ykd7h7Ag vssJbUuNXu4R1cjRyD96UF6AgICAgIONuiDhm3trvCcRqrSnRgg5sjtE8YGmkjdQJ04cVyC2xWgQ vDh+DJ6vIeVp6ig+mQEBAQEBAQEBAQEBBglBU+1sGl7BzuCCh+VYR346Kn2IKX5diGguPMD76IKX boWamPPPQe8oMDLEjuDA7n3x9yDOetTtDGM5TT3k+xBn7Llf+LMaa2t0e4dSC4RwWfHeh3Li7oGr oQVfWJZ8IwY4+OeER/T++lBdVlnAYwFz3aGjhOO0nUOVBOGK5WWVwv0xPesHFb+8UFtlc5xvuq1p FGs104zuU7NSDZQEBAQEBBycuWkxujNKtN8OadDgbuBQctwzREjN9C/Ch2HSx3KEB0bWb0msEuLX cU6jzjQeRB1ci2k4wv4bNHK35YdBCDqoCAgICAgIPnX7onamNHOSexBAZXndwW+awntQZDrW7j+R rexBIZOtLtLyOd591UEDkbjzMHX7SEEhk+zjhTV/KW/NBINsbdbnef7qBBIW6yt0R1/xB/5FBNuX mDBkZ6h7KoJfa8p4MDvWP/igyLRanaI2NG0/M+5BL6hO/hzUGxnyogk2xQQ4vIJ2vNT0N+SDH1+S XCFtG+Edo6B++ZBcyOOzgucS57tLji5x2Ae5BmGB0hD5RQDFkez+p213sQbEVpDnENFQ3S7Ve4o2 nbsQXoCAgICAg5+VpmC6yQbx9ceKRSh60HHLDZ3Fjxehf1jU4bHD96kAMEf3bzWGTFj9h1PHsIQZ DXg0/nQ4t/rYNXLQaOSoQfQ2O0iRgc3Xq2HWEFyAgICAgIPlY8oS94xo/JH/ANoLRJa3eE8gb7gg yLDanaXOHO/sKCLskO7+WMc7ifbRAGTIRwp2H8tO0oJCz2QaZHny+5qDL7RY2AuLSQASSb1ABiTi VmImZtA0RuyycOCYvU7V21XG5Jc9LRxhL+P7KND4vPA9gTVcbklnS0cYVu+kCDVJAOd9exNVxuST S0cYYG7WN3/qLG3ne33uPsTVcbkljS0c0M/xFA/h5Rs4Gxjx7qJquNySaajmhdBlnJjMTaoHna54 PUNKarjckmlo5oTm3dWSt2OaD8z3BrR0aSmq43JJpaOMM2XdHYGm++2Wd8nGL24cjRqTVcbkk0tH NCMm7GySm6LVDHHrcXgPdyNGocqarjckmlo5obkW63J7QGttVmAGgB7U1XG5JNNRzQl/GNg8bs/n tTVcbkk01HNB/GNg8bs/ntTVcbkk01HNB/GNg8bs/ntTVcbkk01HNB/GNg8bs/ntTVcbkk01HNDo 5MyrDaAXQSxytaaEsIIBpWhpyLnXh10TaqLNqaoq3S3Fo2c7LFmbJdaXXX765XQdFQepByrNPSsE 4IbqJ0sOrHZy+5Bh0ebJhl/Ddi1/FPGHvH7ISEbiRE40mjxidxhpu12bPIgtss7m1kjbUV+9i1td xmjZ++YOzZLWyQVYQdo1jnCC9AQEBAQfMgWt3hOpvYgwbDaDwnkfmk+ZQQOS+NNCP8q+2iDIyfCN M7egfNBIQWUaZZDzA/CgkH2Qd7I7zu0INTLVts/1acNiNTDKASG4G47HSV0wfuU+8Na/DLw0L0ys EBAQEBAQTmiLTRwINGmh2OaHNPS1wPSueHiUYlOdRN4vMfuJmJ/qYmGZiY2SgujAgICAgIPXPoU/ AtH94f62qn7S8dPsmZNul6Mq1JczLdhdIGlvCZXDbWmg7cEHNinbMM3NvZBg15014rv31oJRvp9x aNHeO4uwg7PZoPIGHREEQyGhGMUmzYK7NHN5EF0QL3VBzdqbg4HgyDb++xBJ2bLvvWugl47TQE7Q 4YeVBvxslA3r2SDVeFD5zexBP6y4cKJ/O0hw9x6kAZQj0F107HgtPrUQbLXA4ggjkQZQfKHJsh4T 4x+Z6DAyY3XPCOY1QSFigGmcHmafmgkIbKP5kh6Kf+KCQksg72R3l7QgkLdZhohJ5wPeSg1MtZWj +rzhsLRWGUVF0Uqx2OAXTB+5T7w1r8MvDAvTKwQEBBkeTlxw5cFidw+tg3GF1kdKJrNW+HCS+7NC JrXB4Li2odeOimFyi8hi/VVNHaNOTzg4lrTE05sZ2dMxa0XtMWvtvtvdOjI5nCz86Pfys425+79Z Yx7IZo3uDXXrwaG130gcaFtBU4jQMRsu+1dJORV4mHXVh1xF4taZv5UzG2JvNo2Tv3Sj4NtJETET Dv7u7fZ5GsfZ2wvvksdKK325ugawA6KjQaYgYbV576WyTLsCuvDyyqqm1pijZac68zN4ve074vsm dvBKyyvDqiJw4ifX2aO5Tcv9avOzkJaGPF0F2cZI5pEZc0tG9rjUE1u86m9vfUPd000aOq81U7bR mzTExNVpvvtstMRO2/BzybJdLebx/wBcPKVizLzGXxPc3BxiLnNB1tqWipHJVX2R5VrWFGLFFVMT uzoiJmONombR72lGrozJteJ9mqpbQQEBB659Cn4Fo/vD/W1U/aXjp9kzJt0vRlWpLlZclkZceytG 3r2sY3aXhswKDXc2O1iooyYDy9o5dIQUCT+TaARTgv1jZjrHL5eQLAKfcWjgn8OTZsx/dOZBl8dC I56gj8OYYcwJ7fmQ3QZmCj2iZm1tL1OVpwKCEZgrgXRO2VMfqnelBtiOQcGQOH9bQetpHsQHSSd9 GHD+lwPU4D2oNZzIdJY+M7Q1zfWZh1oLImg8CckbCWP9or1oPnxYo9czOhrigmLPBrmceZjh7UEg yyjvpj0Ae5BMS2Ud5Ken/wDQQSFus40Qnpp7yUEhliIcGBvqj3INbLWWy6zTtEVAYZRUHR927Hgr pg/cp94a1+GXhIXplYICCyzwOkcGMFXONAMKk7BVc8XFowqJxMSbUxvngzTTNU2h27VuStLIo5M0 +rs4Xtw+7DCA0uxwqKnoVJgfUmQYuUV4OlptGbmzzX3242m0e6TVkmJFMVW439GtFuhmbGIQW5gR ujMVN64Prfcdd8kk3gcDyVBkV9iZJXjTlFUTpM6Ks7ziY3RHlmxGy1tsb9u2OcZRXFOb5Wtb/ebk q3cRB0MnZZms7XNhdmy5zXOcALxu8FtThdBJNNdccMFXZZ2XkuWVxVlFOdaJiIndF98++7b5W2bd rrRjV4cWpmzYsGTJrbMXtj3r5RnHMpdZfcC91CagYkqPlWX5L2Vk0UV4m2mmc2Kt9Vo2R6zuj/1t RhV41V4jfO1RljI0tmcRIwtbec1rjTfhpO+GOilD0qR2f2pk2XURVg1xM2iZiPK/lPq1xcGvDn+U OcrFyEBB659Cn4Fo/vD/AFtVP2l46fZMybdL0ZVqS5+VMoZksqKtdertwu6PKUGjNk9kgzlncA4Y 3RhjycU9SDDLW2UZq0C68aHaMfceooIyNMQzU4vQngvGluzm5vagtEhibdlGdgPBeMaDVX98yDYs 0RpWzygt4j98ByV4TeZBeZ36HwkjawtcPIaFBT9xsMZ5nx9YoEF8cdeBM4jna8dYr1oJ0lGuN3Q5 nxIK5MeHBe5rjh6xB6kHz4js+t8p5mge1BIGzDVOfN+SCQnsw/lSHnd2OQSFugGiDyntqgkMrxjR Z4/V+FBYzLh72EdB7Ag1ct5VldZpxmiAYZQTR2AzbsV0wfuU+8Na/DLwgL0ysEBAIQfS5Y3WG0QO gLCIwI82bzi/7sgfekmj7wqeQ006V5js/wCm6MjyqMrprvXOdnxaM3+W3+HLaf7i+7cl4uVTiUTR bZstx/fF80vToggICDp7n8rGyyOlaLz7jmtBJDbziN8+nCAFd7rNNFFV9rdm09o4MYFc2pzomeNo 8o4TM228L7Nrtg4s4VWdG9jL+VfrUolLbryxrXCpLbzairK8FpFDTUSdOlZ7J7Ojs/J9Xpm9MTMx xtO3bxmNsX4W9mMbF0tWdO9zVZuQgIPXPoU/AtH94f62qn7S8dPsmZNul6Mq1Jalvki3rZaUdWld GFNerTpQcybJL4zfgcTya6exw5+tBgWuObeTtuSDAO0Y9OjmOCCRL4BclGcgOFdg/fyKCcML4xeg IkiPeE4jbQ/vmKCF+zuO+DoZOlh8ow8qDeiifpZMHD+oB3rNIKCy/MNLI3flcQfIR70FUhaeHA6u 2613W0koIB8OqR8Z5XOb1Pw6kGxGxx4MocOVrT/xog+bE0I/lPPO/sCCQtcI/keWR3YgkMoxj+RH 0mvtCCbcrN1QRdAHYgubliTvYm9DXe5BMZVtB0Reo/tQaeW7daDZpwYwGmGWu9cMM26ukrpg/cp9 4a1+GXhAXplYICD6bcJk+CaducMgkiOdA3ubc1hbwsKihI5CvL/VOW5VkuSTOFFM01/x886Jqv4f Kdl/WEzI8Oiuv+V7xt9GpusydDZ53RRGUlpq6/dDReAc1rKCpABGJU3sHLspy7JKcoxopiJ3WvMz bZMz5Rtjc55Th0Ydc003/wBwcRXaOICAgnFdqL167XG7QOprpXCq0rzs2cy1/K+792Zi19r7vKO5 +yMsDJb091v3oIDBK7P3GtDgcAN6zHkOleCyPtvtHF7XrwM2i8/x3zmxmXmbTvmds7Pa9llXk+FG BFV54+u18CV79WCyCD1z6FPwLR/eH+tqp+0vHT7JmTbpejKtSWplCwNmAvEgitCOWlcNegIOSLNP Z+Ab7NgxHm6R0ILRa4bRhILj9FdHkd7igzmprPo+9i2awOb/ALHMgjZ42PN6zyZt+th0Ho7KoNh1 rkGE0JcNrKOB/wAUFYfZXHUx3+TCPJRBtR2cH8OZ/nNePWBQWZuYaHsd+ZpB8rT7kAySjTG135X+ 5wHtQUOEZO+gcD+QHrZVBxBlFvgYOltUEm5VOqKDoZ80FrcrS6o4+hju1BaMq2jVH5GP7UGftC1e DPmOQZFrtZ7z1e0oNTLctqNmnvNF3My14OjNurrXTB+5T7w1r8MvBwvTKwQEE2TOaHNBIa8AOAwv AGtDtFdXINi51YVFVVNVUXmnd6eV49fX3ZvMRMLrUyS5FI8kteHNjJNd7E6hHMC6i44FeDpMTCw4 iKqZiaojjVtv7za/VtVFVoqnz3fprKU0EBAQTgiL3tY3hPc1oG0uIaOsrni4tOFh1YlW6mJmfaNs sxF5iI8109okD5A57r5rHJjpDTdLDyCmA1UFNC5YWDgVYdE0Uxm+KnZx23j1m+2d83m+9tNVUVTe du6WspLQQEHrn0KfgWj+8P8AW1U/aXjp9kzJt0vRlWpLm5Xsb5LhjNHNvayDjTQRzINJuU5osJWE jbo6xgUGwZLPaNNA/l3rvLoPWgwLJND+G7OM4jtPR8qcyCp8sEppI0xSbTvTXbXR5UG0yCdo3kjZ G6g/4hpQSNqk7+Akf0lrupBS6SA8OFzeeIjraEBjrP3shZzPe3qJQbEcdeBO489x3uqgtDJh38bu dpB6nIOC212jU13RGPhQTFrteyT0Y+FBIWi17H+Y3sQSEls/q8kfYgyDbOX/AOpBkNtm3/Wg1Mtx 2r6tPecLuZlrwNGbdXQF0wfuU+8Na/DLwcL0ysEBBZBO5jg5vCbiMAR0h2B6VzxcKnFomivdO/fH WNsfrazFU0zeH3WXN1ELrM6KExZ6MM32aaI3VIE2YrW6amuOkVpXSvB9l/T2VYWXRj5RnaOuZ2Z0 50W8Gkta+zZ72ibblljZVROHm02vHps9bf72fBhhoTQ0BAJ2FwcQOkNd5CvfZ1OdFN9s3m3ta/8A V4/uFaitmBBJjCdAJoCcNjQXOPQAT0LWqummL1TbdH9zaP7nYzEXfQbjcsts0jjKW5oNLrt0OeZM AwRk4h3LWlAa7V576j7Lry7Apowb58zEXvMUxHnneUx+pm87PNJyXGjDqvVu/wBuR3Y5XbaJQYy3 MlocGhga4PNQ8Sa3OqDrpQimmp2+nezK8iyeaMa+kiZiZmZmJiN2b5RTa3lE3ib7rQyrGjEqvTu/ 2/1fPr0KKICD1z6FPwLR/eH+tqp+0vHT7JmTbpejKtSXPytbHxXSxt4Gt7AmlKUxGjWg14MvsOD2 lvrDt6kEzY7PNwbtf6DQ+b2hBFthmi/CkDm8V/sH7CBLbhSlohI5aXm89dXQgris9nOMUrmHY19O p2KDcbZpRomBH9TAesFBMZ8eBPnN7UB0knfQtPM8H/kAgpexh4VmPPdjP/E1QRa2Ed5K3mbMPZgg 5ohtf/uecO1BkWe1/wBfnt7UEhZbXtf547UGRY7VxneegkLFauOfPKCQsFq8J67uxBpZcsNpFmnL pAQIZai87Rm3V1Lpg/cp94a1+GXhAXplYICAgyFiR6Bk8WM2G46GMSyMdOLPnZL0hiDgwtcSXNvA EhtdBOnFfO8rjtantTPoxqpw6ZijSZlNqYqtMxMRERNptE1WtExF7bIWlGh0Npp2zttedtuu18XY LEbRJcYYY3O4LXOc1p2Na51STzmpXuMqyqnIsDSYudVEb5iImfeYi37tFoV9FGkqtTaP9+3X3T7l nWUB9+K4WMFC433SBoEl1tMReqeSqpuw/qGjtG9EU1Z0TVuj+MU3nNvO6JtaOMzDvlGSzhbbxb/r obhpbK1kj7QyOP8AkiVz30kEoN9lwkgEClXCmDtWJVd9UYfaVeJRh5HXVV/95kRT/HNtac60Ttnd TN7zGy+yHXI5woiZriI8r8bvmsusY2eRkcQiaxxaGhz31ANA4ueTWunCgoRzr0/Zc4tWS0V4uLNd VURN5iKd/lamItbdtvN/6RMaIiuYiLW/3m0FYOQgICD1z6FPwLR/eH+tqp+0vHT7JmTbpejKtSWr bbeyK7frvq0oK6KdqDXdabNJpMZ/MKHylBW/IsL8WEj8rqjrqgwMnzs/DmqNj/nVBMWq0N4UQdyt NOrFBB9oid+JA8HaY/eMUFbW2TUbp53t9qC5sMXe2h45pQfbVBe2zu72d3SGO9yCQimH8xh52djk EhnteaPnDtQfOjJrvCQ+f8kFgyXJqkj889iCYyVN4Rnnu7EExkmfwg89/YgkMlWjwo89/YgyMl2j wvrv7EGnlvJ04s05MtQIZSRfeajNuwxXTB+5T7w1r8MvCAvTKwQEBAQFgXWKfNyMfdDixwcA6tCW mra00ioGGtccpwdPg1YV5jOiYvG+07Jt623T+21NWbVE8G5lXLktpa0TEPcxzi19AHAPpeZhgRUN prFFCyDsjJsgqqnJommKoi8XvF43Tt233347/fpiY1eJEZ+2zmq0cRAQEBAQeufQp+BaP7w/1tVP 2l46fZMybdL0ZVqSptNlZJS+0Gmjkrp9iDTfkSE6iOZx99UFLtzzO9e8HoPuCDLclyt4M7uYg09p QTbFah38TucEewILBLaBpZE7mcR7UGfrUuuA9D2H20QRdMDwrO/zWH3oKzmTps7h/wDF2IH3HFkb /jK32BBJr4dUkg53y+8oNL+HT4Qeb80GP4cPhB5vzQP4cPHHm/NA/hw8dvm/NBkbnXeEHmntQZGQ HeF6j2oK7Xude+N7M9S+xzdB75pGivKtqKs2qJ4MTF4s+K7kUnjcfonfGrXvOnk6/CJqtXN0O5FJ 43H6J3xp3nTydfg1Wrm6Hcik8bj9E7407zp5OvwarVzdDuRSeNx+id8ad508nX4NVq5uh3IpPG4/ RO+NO86eTr8Gq1c3Q7kUnjcfonfGnedPJ1+DVaubodyKTxuP0TvjTvOnk6/BqtXN0O5FJ43H6J3x p3nTydfg1Wrm6Hcik8bj9E7407zp5OvwarVzdDuRSeNx+id8ad508nX4NVq5uh3IpPG4/RO+NO86 eTr8Gq1c3Q7kUnjcfonfGnedPJ1+DVaubodyKTxuP0TvjTvOnk6/BqtXN0O5FJ43H6J3xp3nTydf g1Wrm6Pstwu5d2T45GOlbJnHh1Q0tpRobShJ2KFlWURjVRMRazvhYeZFrvplFdXPyrk8zXaOu3a6 q1rTl5EGkMhP8KfIe1BIZGl8O71u1Bn7Jm8Yf5XfEgkMmTeMO6+1BIZPn8OfJ80EhY5/D+oEExZr R4ZvmNQSEE/hWeZ80EhHPx4/MPxIJhs3Gi813xINpAQEBAQEBByd1WVzZLLJOGh5Zc3pNAb0jWaa HjV6EFVkyhamkutUVmhga0l0gmLrtNtWgAacaoOo+2RgsBewGXCMEjfml7e7cMcEFEGWbO+l2eF1 WOkwe07xpo5+ngg4E6EELNl6zSNe5logc2MXnkPaQxo752OA5UE7PlmzySZtk8LpKVuNe0upStaA 7MUGG5bs5lzInhM1aZu+2/UaW0rp5EFb90NlEmaNos4kvXbmcbeDq0ukVwNcKIJWrLtmiLhJPAwt Ia4Oe0EOIqAQTWtDVBvxyBwDmkFrgCCDUEHEEEaQgkgICAgICAgICAgICAgICAgICAgICAgICD5j 6Smk5NnABJ+6wGP8+NBwbQ+xvs9qZZJLVJM+zSANebU4EABxoJRSuGrFBc3LEVplyYIs47NvN92b eGtOYILbxABNdlUHOsORwchXo4Rn3iry1tJXsZaaubWl47xujkRlPL1qhtL5JLI37uKwWlsr2xuY 3fNGbjNQKkEVp2Iwusc9nmfk2OyNGehcHylkbm3G5k375LRwj5elBzsgwMdHBZZrRmp45w4xfVnG USiUkOzoONajfaADyIyzujyk+0We1Nc6kokePqzLMSWtZIKPfLQ3cBevVAOhB3sk2aKaTKcpYx4c GXHuZUljrMDgXCtCjDu7iAfqFlrWuabpQdxAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBBoWfLdmkf m2Wizvk4jZGF2GnAGqDfQEGrlOxNnhkhcXBsrHMJbSoDhQkVBFcUFlks4jjYwVIY1rQTpIaABXlw QLRa2Rloe9jS9wYy8QLzzUhra6TgcEFyAgpsdrZKwPiex7HVo5hDmmhINCMDiCOhBcgICAgICAgI CAgICAgICAgICAgICAgICD5r6R53MydaC0kEhjSRxXyMa4dIJHSgvttjs9jsz5ooIa2eJz2G42tW sNDepXHWdOJQceDKFshNjfNO2Zlr3rmZtrM050RkaWObiQCKb6vXgGhBle3/AFWy2o2iJ2ekjjzR hAb945zA9zgakg0wbdHvCWXMt2yxm1RutDZXNs0c7H5pjLhdaGxOaG4gihOmupBvzy29lqigNqhP 1iOR1cwKQ5u6TcF6rtNN8Sg1IcsWi9FHK9kj48p/VzIY2AuYIi4GlKMdjpbQ+8L8kZanM7W2qeSC R0jmizus4ETsSGsZORvqimNUDc9lmd0zG2qeSKZ7n1sz7MGRml6jY5qb7ChreNUGpufyvabRFYoI 5GQOkimlkkbFGcGTOY1rGUDBy4fMJw5etj5IrOJYhKLVaLO+QxgteIomvbIWAihxOAIFQNSDubmL bP8AWLXZ55RMbOYS2S41hIlY5xBa3DCiD6RAQEBAQEBAQEBAQEBAQEBAQEBAQEBBRbrGyaN8UgvM e0tcNoPKNB5UHDsu5MMAa61WySENLMy97Swsc0tLHUaCRQ4Y6ggWDchHG+NzprTKIQRCyRzS2Orb tQA0VIbgK1ogvbuYiFmgs9+W5Z5GSNNW3iY3FwDt7SlTqAQRy5uVitT5HvfK0ywNgNwtoGtlEoIq 076opspqQb8+SmPtEU5L78LXtaBS6RJSpOFa73UUGh/C0V+/flr9a+tUq2mcuXLvB4NOnlQRG5cG SN8tptUzYniRjJDHdDxW643WAkiuGKDMG5gZyOSW0WqfNOLo2ymO611KXjcYC4gHWgpj3GRMjgZH LaI32cPDJWuZfLZHFzmu3t1wqdmpBdYtycMToXNdKXwySylznAulklZce+Q0xNKaKaEG/Y8ksjnn nBeX2jNXgaXRmmlrbtBXEHGpKDoICAgICAgICAgICAgICAgICAgICAg18o2rNRSSUvZuN76VpW60 upXVoW1FOdVFPFiZtF3m/deHih9N+mrPuz8+nyjaz6HdeHih9N+msd2fn0+TWfQ7rw8UPpv007s/ Pp8ms+h3Xh4ofTfpp3Z+fT5NZ9DuvDxQ+m/TTuz8+nyaz6HdeHih9N+mndn59Pk1n0O68PFD6b9N O7Pz6fJrPod14eKH036ad2fn0+TWfQ7rw8UPpv007s/Pp8ms+h3Xh4ofTfpp3Z+fT5NZ9DuvDxQ+ m/TTuz8+nyaz6HdeHih9N+mndn59Pk1n0O68PFD6b9NO7Pz6fJrPod14eKH036ad2fn0+TWfR9bu K3U/aEcj81ms28Npfv1q0GvBFNKiZTk+hmIve7rhYmfF7Po1GdRAQEBAQEBAQEBAQEBAQEBAQaWW 2g2ecHQYpAelhW+H4494Yq3S8TGR4eJ6zu1Xelr4oWZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZS fY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr 4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3amlr4mZSfY8PE9Z3 amlr4mZSfY8PE9Z3amlr4mZS9E+i+ysjimDBQGQE4k94NqrstqmqqLpGDTERNn2qhOwgICAgICAg ICAgIP/Z --_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_ Content-Type: image/jpeg; name="image004.jpg" Content-Description: image004.jpg Content-Disposition: inline; filename="image004.jpg"; size=2622; creation-date="Thu, 22 Dec 2016 13:58:30 GMT"; modification-date="Thu, 22 Dec 2016 13:58:30 GMT" Content-ID: <image004.jpg@xxxxxxxx> Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMg IyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09 PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCABUAHoDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aiii gAopKWgAoprOqDLMqj3OKrtfxE7YMzv6R8j8T0FAE8kixIWY4AqOBizuWzu4yOy+31qqZHeQs7qX TqR9yH/Fqs23Ax90YyFPXHqfc0AWKKKKAKOqTPbxxSRn5g/3f7wwcirUMqTwrJGcqwyKp6wM2q/L kBsnHUDHUe461V0u5ME3lORskPBHQMehHsf50AbVFFFABRRRQBiNrM/960j+rlv5Un9pTv0u1/7Z W7N/Oq6Cb+Fbn/gEKrUn70j5vtH/AAO6Vf5UATb7iTq+oP8A7saoKPJc8vbzt/11usfyqvtjzlxb f9tLst/KvINYuZl1q+CTyBRcPgJI23G49PaujD4d1m1e1jOpU5EeziOND/q7BP8AecualBaUbQ00 y/3Yo/LT8zXhC3l0pytzOD7SsP61ahbVruCaWGa9lihGZGWVyFH510SwKgrymkjNYi+yPcURuFAQ lOir/q4/cnuf88VZtuhIDEH+Nurn1+leFSwahFpVrdC/keO5YqkSTuWyPb86hu5NVsJ/Jup7yKTA O1pnBx+dRDCwm7RqK+v4Oz+5jdZrofQWaM187f2je/8AP7df9/m/xrqvhvd3M3i+NJbmeRPIk+V5 GYduxNVUwLhFy5thRr3drHqOrbfsylt6gOD5i/8ALM+v0rKKEEqwAPoDxz3B/un9DWtqhAgQmUxH f8rEZXODw3tWZt25R18vaCdvXYD1I/vIe47VwHQathd+dGEc/vVHOeCw9f8AH3q5WHEvOCOVwe5x 6HI5+jD8avxSybRtcsPwf9Rz+lAF2iqwuSDhlU/RsH8jin/aP+mUn5UAc2BD/EbT/gTu1SIYR0az H+7AzfzpyiUdPtf4BBUy+f8A9Pv/AH+QUAEb8/LIQf8AYsq8Y1rnXdQzkn7TJ1GD949u1e0hZSeU uv8AgV2teLa3xruoDn/j5k6nP8R7969HLvikc+I2RTXG9d2duRnB5xWhf3NvBPNFo004s5kAcP1f joRjp/jVfTbt7HUIbiOFJnRuI3XIY9uPrTtUguIL+X7Xb/Z5HO/y9uAAeRj2rrmlKuoy2t3Wuq6e Wln5nOtI3RUyfyrSiuLW8ju5tVmuJbwoBAwOckevHtj8aza09EN3bTvfWtkt0lupLh0yozxz+dGL SVNz6rbVLqtLva7sghvYzK634Zf8jlH/ANcJP6Vybt5kjPgDcScAYArrPhl/yOUf/XCT+laV/wCF L0Cn8aPWtQLeSoV4lJbG2X7r+1ZoUqwi2OjKcrCx+ZD6xt3HtWnfI0kIVYI5xn5kc4yPb3rOIRR5 RLRr/wA8bofL/wABftXz56AsfygHI2AnkAgA/hyh9R0q0h8zn7/vhX/UYNVyDGwZyyN0BkJB/CQc EfWply/JUv7lEf8AUGgCUtjgkj2LEf8AoQxTfk/2f/HKAdnqv/faf4ik3j++P++x/wDE0AYo8g9f sf4h6kX7P66f+KOa1RpTjpez/pS/2bKOl9P+Q/woAzVNvnhtO/79NXjms4/ty/xtx9ofG0cfePSv dxYTD/l+m/75X/CuK1P4d6U2ovLdaxcRzXcjSBNi8knnHHqRXZg60KUm5GNaDklY8w6EH0rRjuba 8iu5tVluJbwoBAwPUj+8cfh+Negf8Kksf+gnd/8AfCf4Uf8ACpLH/oJ3f/fCf4V11cRQqLdp91v0 f421MVSmuh55LYwRabbXf2tHeV9rwKMMg9T+Rp1/c28FzNHo8s62cyAOrnl+OQR6f416B/wqSw/6 Cd1/3wn+FL/wqSxP/MTu/wDvhP8ACoVak3ec299Laau60t06Mfs59EeXV1vwy/5HKP8A64Sf0rpP +FR2P/QTu/8AvhP8K1PDvw/tvDurLfw3s8zqjJsdVA5+lXWxdKVNxTFClNSTaOi1BUeFQ8Mso3dI jyPeqImCAqLi4Remy5hLD8607iF5kASZ4iDnK4yahFncD/l+l/FV/wAK8g7CpG6j/VvCv/XGbb/4 6eKlEZbnaW+saN/I1N9jmP3rtm+sa/4Un2Bv+eqH6wrQA0Ky9FI/4A4/kaf83+1+b0osSP40/wC/ YFO+yn++PyP+NAFmiiigArH1izEl5a3TXUMAjVosSsV3bip4IYc/L0ORWxWZqNjPNf211AkEvlI6 FJiQBuKncODyNv60AZq+FZZATc3aM4tzChVCNp2qobr1wp/Oq48J3L3EwaaKFGXKyRKQUJ35VBn5 V+YfWpY/DuolCJbwjCYXbcSffyuXJ98Nx0GaePDd0Xm3Xb7DI3lATyfLGVbC9exKn/gNAELeFJZ4 kWO9hVU3AhFJwTuDAHPT5unYit7TLOOxSeKFlKGZmCr0jzj5f6/jWIdA1PkNdbtyMHInYclsjbxx 7nnI44pG8P6uwY/bIw7dGWR1EZwAcDvnBHPTrQB1NFUNLspLBJo3kLozhky7MVG1QeT/ALQY/jV+ gAooooAKKKKACiiigAooooAQ14xrN7qC63fhNUv0UXEgCrOQANx4AoorvwCTk7mFd6Ip/btS/wCg vqP/AIENR9u1L/oL6j/4ENRRXpcsexy3YfbtS/6C+o/+BDUfbtS/6C+o/wDgQ1FFHLHsF2H27Uv+ gvqP/gQ1dH4DuryXxTGtxqF5Onkv8ksxZc8dqKKyrxXs5adC4N8yPUaKKK8M7gooooAKKKKAP//Z --_007_8FC4804755917349AA5737C3EBC0819B016BB30330spmxmbx3_--


This message came from the mail archive
/var/www/html/postings/2016/
maintained by:
DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University