Subject: [AUDITORY] Online Panoramic ECAP Tool Announcement From: Charlotte Garcia <0000034d71db9d76-dmarc-request@xxxxxxxx> Date: Mon, 21 Oct 2024 11:45:16 +0000--_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: multipart/alternative; boundary="_000_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_" --_000_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Dear Colleagues, [Apologies for cross-posting] It is my pleasure to announce the release of the Panoramic ECAP Web-applica= tion. The Panoramic ECAP Method (PECAP) is a tool for estimating patient-specific= patterns of current spread and neural responsiveness in cochlear-implant u= sers along the length of their electrode array (Garcia, et al., 2021<https:= //link.springer.com/article/10.1007/s10162-024-00966-x>). It has been devel= oped at the University of Cambridge and requires measurement of a myriad of= Electrically-Evoked Compound Action Potentials (ECAPs) prior to providing = estimates that provide a detailed picture of the interaction between a spec= ific patient's cochlear implant and their auditory nerve. The online implementation of PECAP provides users with instructions and too= ls necessary to collect PECAP data from a cochlear-implant user. This funct= ion is currently available with users of the Cochlear device, and interface= s with Custom Sound EP software. The website also allows users to upload co= llected PECAP data from either Cochlear or Advanced Bionics cochlear-implan= t users to a secure server for analysis, as well as download images and dat= a files containing current-spread and neural-responsiveness estimates for f= uture use. Our hope in developing this website is to allow access to PECAP = for a wider range of research teams, as well as to evaluate potential and f= easibility of any future clinical use. You can access the website and register for an account at https://panoramic= -ecap.mrc-cbu.cam.ac.uk/* I would like to thank all of my colleagues who have taken an interest in th= e PECAP method over the last few years and given this stream of research su= ch momentum. It has been a pleasure to work with teams in the UK, Switzerla= nd, Germany, the US, and Australia in utilizing this tool for their own res= earch purposes, and I am grateful for their input in the development of thi= s web implementation. This work was jointly funded by the Centre for Integr= ative Neuroscience Discovery<https://www.cind.group.cam.ac.uk/> and by an I= mpact Acceleration Award<https://www.ukri.org/what-we-do/browse-our-areas-o= f-investment-and-support/mrc-impact-acceleration-accounts-previously-confid= ence-in-concept/> from the MRC, and I would also like to thank them both as= this project would not have been possible without their support. If you are interested in using the Panoramic ECAP Method and have questions= beyond what is available within the website, please don't hesitate to reac= h out. Best, Charlotte Garcia (she/her/hers - why I share them<https://pronouns.org/>), = Ph.D. Postdoctoral Research Associate | Cambridge Hearing Group<https://www.mrc-c= bu.cam.ac.uk/cambridge-hearing-group/> Chair, Equality & Diversity Committee | Medical Research Council Cognition = and Brain Sciences Unit College Research Associate | Wolfson College, Cambridge 15 Chaucer Road, Cambridge, CB27EF, UK | +44 (0)1223 769936 |[Logo Descr= iption automatically generated]@xxxxxxxx | [cid:image010.jpg@xxxxxxxx= .2E3132C0] @xxxxxxxx [cid:image002.png@xxxxxxxx [Logo_text_side] * The website is hosted at the University of Cambridge at the MRC Cognition= & Brain Sciences Unit. However, http://panoramic-ecap.com/ and http://p-ec= ap.com/ are also valid addresses for this site. --_000_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ 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 15 (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:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @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:#0563C1; text-decoration:underline;} a:visited, span.MsoHyperlinkFollowed {mso-style-priority:99; color:#954F72; text-decoration:underline;} p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph {mso-style-priority:34; margin-top:0cm; margin-right:0cm; margin-bottom:0cm; margin-left:36.0pt; margin-bottom:.0001pt; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-fareast-language:EN-US;} p.msonormal0, li.msonormal0, div.msonormal0 {mso-style-name:msonormal; mso-margin-top-alt:auto; margin-right:0cm; mso-margin-bottom-alt:auto; margin-left:0cm; font-size:12.0pt; font-family:"Times New Roman",serif;} span.EmailStyle19 {mso-style-type:personal-compose; font-family:"Calibri",sans-serif; color:windowtext;} .MsoChpDefault {mso-style-type:export-only; font-size:10.0pt;} @xxxxxxxx WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" /> </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"EN-GB" link=3D"#0563C1" vlink=3D"#954F72"> <div class=3D"WordSection1"> <p class=3D"MsoNormal">Dear Colleagues,<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">[Apologies for cross-posting]<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">It is my pleasure to announce the release of the <b>= Panoramic ECAP Web-application</b>. <o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">The Panoramic ECAP Method (PECAP) is a tool for esti= mating patient-specific patterns of current spread and neural responsivenes= s in cochlear-implant users along the length of their electrode array (Garc= ia, <i>et al.,</i> <a href=3D"https://link.springer.com/article/10.1007/s10162-= 024-00966-x"> 2021</a>). It has been developed at the University of Cambridge and require= s measurement of a myriad of Electrically-Evoked Compound Action Potentials= (ECAPs) prior to providing estimates that provide a detailed picture of th= e interaction between a specific patient’s cochlear implant and their auditory nerve.<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">The online implementation of PECAP provides users wi= th instructions and tools necessary to collect PECAP data from a cochlear-i= mplant user. This function is currently available with users of the Cochlea= r device, and interfaces with <i>Custom Sound EP</i> software. The website also allows users to upload co= llected PECAP data from either Cochlear or Advanced Bionics cochlear-implan= t users to a secure server for analysis, as well as download images and dat= a files containing current-spread and neural-responsiveness estimates for future use. Our hope in developing= this website is to allow access to PECAP for a wider range of research tea= ms, as well as to evaluate potential and feasibility of any future clinical= use.<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">You can access the website and register for an accou= nt at <a href=3D"https://panoramic-ecap.mrc-cbu.cam.ac.uk/"> https://panoramic-ecap.mrc-cbu.cam.ac.uk/</a>*<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">I would like to thank all of my colleagues who have = taken an interest in the PECAP method over the last few years and given thi= s stream of research such momentum. It has been a pleasure to work with tea= ms in the UK, Switzerland, Germany, the US, and Australia in utilizing this tool for their own research purpos= es, and I am grateful for their input in the development of this web implem= entation. This work was jointly funded by the <a href=3D"https://www.cind.group.cam.ac.uk/">Centre for Integrative Neuros= cience Discovery</a> and by an <a href=3D"https://www.ukri.org/what-we-do/browse-our-areas-of-investment-a= nd-support/mrc-impact-acceleration-accounts-previously-confidence-in-concep= t/"> Impact Acceleration Award</a> from the MRC, and I would also like to thank = them both as this project would not have been possible without their suppor= t.<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">If you are interested in using the Panoramic ECAP Me= thod and have questions beyond what is available within the website, please= don’t hesitate to reach out.<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">Best,<o:p></o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal"><b><span style=3D"font-family:"Arial",sans= -serif;color:#2D2D62;mso-fareast-language:EN-GB">Charlotte Garcia (she/her/= hers – <a href=3D"https://pronouns.org/" target=3D"_blank">why I share them</a>), = Ph.D.</span></b><span style=3D"mso-fareast-language:EN-GB"><o:p></o:p></spa= n></p> <p class=3D"MsoNormal"><span style=3D"font-family:"Arial",sans-se= rif;color:#676767;mso-fareast-language:EN-GB">Postdoctoral Research Associa= te | <a href=3D"https://www.mrc-cbu.cam.ac.uk/cambridge-hearing-group/" target= =3D"_blank"> Cambridge Hearing Group</a> </span><span style=3D"mso-fareast-language:EN-G= B"><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-family:"Arial",sans-se= rif;color:#676767;mso-fareast-language:EN-GB">Chair, Equality & Diversi= ty Committee | Medical Research Council Cognition and Brain Sciences Unit </span><span style=3D"mso-fareast-language:EN-GB"><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-family:"Arial",sans-se= rif;color:#676767;mso-fareast-language:EN-GB">College Research Associate | = Wolfson College, Cambridge </span><span style=3D"mso-fareast-language:EN-GB"><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-family:"Arial",sans-se= rif;color:#676767;mso-fareast-language:EN-GB">15 Chaucer Road, Cambridge, C= B27EF, UK | +44 (0)1223 769936 |</span><span style=3D"mso-fareast-langu= age:EN-GB"><img border=3D"0" width=3D"21" height=3D"17" style=3D"width:.222= 2in;height:.1736in" id=3D"m_-7861553847205901177_x005f_x0000_i1032" src=3D"= cid:image001.png@xxxxxxxx" alt=3D"Logo Description automatically generated"></span><span style=3D"font-family:&quo= t;Arial",sans-serif;color:#676767;mso-fareast-language:EN-GB">@xxxxxxxx= _Garcia | <img border=3D"0" width=3D"13" height=3D"13" style=3D"width:.1319in;heig= ht:.1319in" id=3D"m_-7861553847205901177_x005f_x0000_i1031" src=3D"cid:imag= e002.jpg@xxxxxxxx" alt=3D"cid:image010.jpg@xxxxxxxx">&nbs= p;@xxxxxxxx</span><span style=3D"mso-fareast-language:EN= -GB"><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-family:"Arial",sans-se= rif;color:#676767;mso-fareast-language:EN-GB"><img border=3D"0" width=3D"41= 5" height=3D"49" style=3D"width:4.3263in;height:.5069in" id=3D"m_-786155384= 7205901177_x005f_x0000_i1030" src=3D"cid:image003.png@xxxxxxxx" al= t=3D"cid:image002.png@xxxxxxxx"></span><span style=3D"font-family:= "Arial",sans-serif;color:#676767;mso-fareast-language:EN-GB">&nbs= p; <img border=3D"0" width=3D"167" height=3D"60" style=3D"width:1.743in;height= :.625in" id=3D"m_-7861553847205901177_x005f_x0000_i1029" src=3D"cid:image00= 4.png@xxxxxxxx" alt=3D"Logo_text_side"></span><span style=3D"mso-f= areast-language:EN-GB"><o:p></o:p></span></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal">* The website is hosted at the University of Cambrid= ge at the MRC Cognition & Brain Sciences Unit. However, <a href=3D"http://panoramic-ecap.com/">http://panoramic-ecap.com/</a> and <= a href=3D"http://p-ecap.com/"> http://p-ecap.com/</a> are also valid addresses for this site.<o:p></o:p></= p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> <p class=3D"MsoNormal"><o:p> </o:p></p> </div> </body> </html> --_000_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_-- --_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: image/png; name="image001.png" Content-Description: image001.png Content-Disposition: inline; filename="image001.png"; size=596; creation-date="Mon, 21 Oct 2024 11:45:15 GMT"; modification-date="Mon, 21 Oct 2024 11:45:15 GMT" Content-ID: <image001.png@xxxxxxxx> Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAABUAAAARCAYAAAAyhueAAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAHUSURBVDjL 1ZS/LwNhGMcPDUFCLmFo9H1fRLoQf4HF1sGGxWQ2EJtEIimL1Who3F3buzpKDFKJEJtBRAwiBpEg ImlyyfXo26u2j+dtEUIpMTA8w/14P8/3e8/3OSkYDEq/XdKfgMqLVnOnCa2SCTXP9wIJ8HwKJSGn L7CQ8HwEJEv2FIvlbmmUJ31K6pjo92NEdWa9i7y1LFQ2rSaippI0nA77F87q3gCV+xG2BkBjOaDR DLDlArAVAHz/AoV0lYX6E2e1RLX3OzbxcDh9SBR70J+A2hLUnmnfEBBbgLAcoMYD+BQniGLqy0LF dyKaM01jD3lmPqvi5z41tYe1Sw33CViCCrVE572fDgqH0IAvb1EjmxOHsEFRDVvGBkYOUO0LlOpZ IJH0paxx75fTx4MTzCzki9AXVe+LrWIjNbVTUaQkgGqfeqdRYa0sFK3HQTgZrTinbYo1WZy0sPjK crHwWjwj2t0BzqD6W+FH8ACJ8HOqZ97ajotmmSuiWd0VbRR6r8Igt7CIM8Si7hw1+LWYONXdUi7X QaThlISsnm+tKW5NAMN9ggngNJYXNnHK/IZG3SMWccfleavxR7sv4Zp2bkOTaNCmOP3yNjRKw2bN //pLVVKPA76VGIRZ0fYAAAAASUVORK5CYII= --_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: image/jpeg; name="image002.jpg" Content-Description: image002.jpg Content-Disposition: inline; filename="image002.jpg"; size=743; creation-date="Mon, 21 Oct 2024 11:45:15 GMT"; modification-date="Mon, 21 Oct 2024 11:45:15 GMT" Content-ID: <image002.jpg@xxxxxxxx> Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIf IiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/2wBDAQoLCw4NDhwQEBw7KCIoOzs7Ozs7 Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozs7Ozv/wAARCAANAA0DASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDmtG0S 2/sm2kezRnlVJZ7l4DcMqyOURVjBAAG0knrzWb4r0NdIu18tEj3SzQsik7d0b7Syg8hTwQKgsPFd 7YaclgoOI9winilaKVFbkpuU/MuecHoelVJrm4vSr3U8k5UYUyuWKj05r0FK6seeqbjLmbd/wt2P /9k= --_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: image/png; name="image003.png" Content-Description: image003.png Content-Disposition: inline; filename="image003.png"; size=24538; creation-date="Mon, 21 Oct 2024 11:45:16 GMT"; modification-date="Mon, 21 Oct 2024 11:45:16 GMT" Content-ID: <image003.png@xxxxxxxx> Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAAZ8AAAAxCAYAAAAFg6S+AAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAF9aSURBVHhe 7V0HYFTV0p5btiW7KYQeIBCa9KYidsFesAREpYSm2F8soFjAqIgI2DsQDEWlRBSlWFFRsYAUAwiE QOgQIG2TbXfv/b+5uxt2k02yQYTH+znvRXb3nnvaPXfmzMw3M3J6ejqdLmX8xf3akyBk44/IaCby eP6gA8VXpm9eUnS6zOHMOM+swJkVOLMCZ1aASD5tF6GslCg27lxqLHw/Pv66y9N/WXLktJ3LmYGf WYEzK3BmBf6frcDpx3w0/xNi6ae4UKPYOl1J074Z371P7/Q/vy34f/b8zkz3zAqcWYEzK3BarsDp x3zAcyjwxx+KCsCA4sGA6EswoKvOMKDTch+eGfSZFTizAv/PVuD0Yj6Xtj9KP2z2c5+gJ8UMKK7O OeBFy8ZfN+iK9CVzSv6fPccz0z2zAmdW4MwKnFYrIGdl7XrhdBix6HRTi7+erbvj/v4YbkD3FsSH Co9CAorrSQVHvx8f1flLcrsBSjiFvNUcRVTq2JXu+uvd02F9z4zxzAqcWYFTtwKZmRPrpaaOza/N CDLfnZiYevfYvbW557+prixLprH/TQOqaiyiJJLZ7mFuA87DzId1b0GFvxbC5GO1dacu7brT1l2+ amKFeidrspZoIoeDxbQzzOdkrflJ7Cdz+uTzjbLwEKm+TnmrSfizaBK5BS/h6KPvUDOJehUv/ivh swufBBE12WZZVfF6y69U1y7XUv3tukWVFFVbPnj46Bnhms2cOfkmHMXOUjVirYBGgmoURdFIHlo5 cOToVYF75mW+2lwh782qV8EARQ9eH0xB+Ypk52bVHXWvSKIZbRTzFBRSskAwD1bsz9eG5xZVJQN6 KsFCxPC/OXn295KTzQmyVx6INRFxX5l+r0A20tR9qqT+IHvF/gp+QT/6NayeBd/zU4c/Niu4n9kZ kwahVmO0W4ox2hQvLcSYmqDR8xT+jZcccyRNtAXdJ8oSlbi96ga09w3/jufYQzZQb1VV3ajr4XHh 3iisq4YxmERB3EVedTXWaFN122tu5uQLNC9dLQhCtEaahAkcUDz0Q+rI0b/o/bw7sYlskW9VvCra 983Nvy75/MxExTB17szJRvT/d9DDd+AzPy/eLHXwX95i/PRUzLmdaJLXo99VePQXuPmZ8HbgNRPI Ql5lxcCRY/8MtDV75uRL8fzPxto4ZIFi3Zr6e2ANqprX3OmT25MkDNY0rTWGYMFexPTooKBpiynP vmRgejpv8/Iyfvx4qVWSNRXjrI8xFvsvWPGvKfgZYE0LFNH9qawoziAxorrlPbXXRK+HvF6XvvK+ EmbYIhgTo+CisMxN4oi2gAHpT4P3+Ukuqk5ACk9yr2e6O0krsEssaznB3KLfYKEelWog/KAAHodI m9QySsS71jAKjMbFb6qbJAUHJ2ZKRoXqOxxkeOIRirr+Sp0Bef2MRgC1krBPXdtzqfjOh8iggdKA mnK7brS7Ge02FUxU3yKS0ynQIdFNMto1oV2DSaM9BifdZc9lQhWW+ciiskNV5a6SJExkSgYaiJdJ HEHkPhCyZA5HCRmNW9D7WxhSc9KEwYqDDufuJzU5Sd4qCGqaQRav0N9AryF17tzxFw4cmM6nwmMF bagmeZtAwtNGo3COy6MtV8k7FRVAHC1l+LwF7bwgS2JnvknxapmCKv5Y6lZLbEYxFxT2DVkWE/Vr irBUVrXnKz5WHEa3Ytl7GAxiGu5/mQyeItUhY0H4v9LrEiiwR9HywIBe0e/VQLg1samqCuMEElfg F535kEHJJ9W4H9czMS/R42UmRMzYeE7dQOffF2XBBOL9WalLGXb33WNDQE2rVo2Xc7fYeM2vxiN7 3uvV1oBjNpBVYaooag/h9/p6PxaLHTtkKxjPJPTTHgwKc1NnYDw/6dcFrSX2Q13NqxVgW+hMBHXO Ncri2V58A3Oci2ehu5SA8jWUJPEWMDKsK+2XNGpoksUJqqaB8Qg4hKgTvAqFSFEgR3tVic4zGsQ3 sS6L0eAXFdc08B1MRG7bwjoVjGcExpUpaOo7aPMQDisNNU0ajD30idbCtm12xuQnwDgXBrWDYdIW zPsCPL/heP7whlE/I1Hl9eYi4hm0kiR6RlXEo2H1UuB0lcbFLK+qEq5+uLq1baO6+lUOhofpxlkp IZaoTTPSJSCsyClhQFUO8syF030F8DK6E1UjKI2dGmlGOssVTQuSdlLz2w9R7uooilvWhop6HKKS K/ZSvCrS9g1RdPiISEO+b0hxjZuTp2EiaTiuG43G8qUoc5RRg2Qjjuxm+lA5TJ0kG7V0RlFW8g5K Rrs5q6Ip9iu0e85BKr18L9ncMuVkW8hz1EAt1rMQoPlO1GHKwNSx6/Hz+lkZLw0D8WuKd/bDQamP zK1YdcDdY9llYSkIyzuaKtw6ePgjc4LqLM189dUfKEY5IIiaVRSFc70uWwauDw5ux9/G55AqNuNo vEYVPamQkA756zCDXAJiXh/EcgaINamS8lTqsLF7/NcX4cR9xKtqP4DkgBJpvw8KkswC/QxMHf17 ZsZkq+ZRbwABfMT/OxPcrXNmTh4OCtYJxPq3wcPHvBY8NtzzOc6oaYHfMC4+oc6ZnTHlSvQ1CORj x6Dhoxf4r3+KscxXJW011uzGKE1+C7/fEdzetr+tU02yMMTp0fqkDh/9XeAa1Gi/iF75+8zMV2NS U9OK8VeIa1+g/0TM+x2ed6nb+zSY2X4wcEgGVqdSKJ+TmpYWkBgglU0ahgUAg9LcR6TSUWmp6ThZ +wqez0IcqaXBqaO34uuDGL8bRP0RrJvG5A7quN3B44QEtg19H1U96q9YrxvD7RH+LTNzvLlVc+tS MJrLXIpyXeqwx5YG1f0Ln79GO58aJCELTGhBZsakxyBBvcR14DPKjONnzH07Dg2pGI+oiuo8tPFR cH+zMiYfwQEgthLzYdblhH0luDATMJuNuswVrnD9SBiQxWIK20ZpqTOsFiJs/WoEn5CxecCA6oIB aU2JtuE5nAoGJLCK8NSW8ePHCenpz9ZqHOPGjROefbZ29xzvLOfOXWUcOLBX6IYLaiwzc6U5NfUi 5/G2/2/e53WKJHcqodWNC2j16gRKvHM3mQwite9bQD+6/yatrovyX2tMTXoWk71dAbk2N4Qkw8oL 6Fb27CT1aAF16Xq2PsT9+/ZAUN9OlzY7S5d0pE7F9FvDg/TbunhKHLGHTCaROtxcQCuhlfHGod1X EimxVxHZ2xaQZXMTUiPYatnZ4yWBrAEpxa8wDL9CrLbCSR4vUWjBsV9LIC0bUgef584DgRkEQrgZ BK2y7VhRyjRR3hFfYLGH6SVIFSPDQHqsQMX14+wZk7MlWegAjjoSBHFSamp6pT2AMd6Dpfy4ymcs 0DHO7q9UUGxYlRDraVPxHryqIOzgdpgWTv4iCKm+PhjLRsxviaZqt6Cva8B8bWAQOqAJqrS6olG+ z+1Wj6aOOMZ4+BqrI0GkIXU5glVOfMng71uzWGTo5lm6i8fTdWUEMx69jiiyykov8WROwD/lzAcS 3XuiVz0cuJ6TV/JY6yRrHxwIukqC8CQY/9KAys8/1saSUX7G66ZLq1wv7tIb/bbJKF7mdKlvpI4I YTzlt4HJfjJ7xksTId2MNYjSpNkzJ60fPOyxLwMVZI9sgc7SR3O0Y3MIXNckJUvyivVCmI/T6aGW LRtT+rNDQ8bHzGHs4+9TcXEZwUhUfo0ZFTgkTX35XmrYsE51c8ICe+mJsdPowIGjOO0F1p/oyJEi uu22PjTgtstC7jcaZBo9+l3atesQXrxj9avtpOJFZkD14ny/bj3ZDChyej9vXl57k8H4Bg44ZSV2 +fbU1MTyl3Xu3CMmk8n+kUE2xTpdrgcGDEjalLVg18dQOyRqqtcG9YAmCNJGVSt7KSWl1YbAEixY sKO/LBnu7dL5zo6LsoQiEJLPPB5hwoABiUfDrSG/cJ07jkwToeNdlHVnUzS6W/N6Z2/IznjFf6Kp 1dJHUnnx4r2NoyzN1mZl7VyRktL8NoxB6NHjLltJyS4nM6TFi/Nax8W2XpWVlbcgJSXpnkjaPFl1 oD6h/ZqbopqUUL2udtr+azxFrYuiXTYPWY0iWbfFU1F0Pp116yE68EU9sn3diIab6pBoxPLjnXFC yvHiL1AUGAjsJaBpokz7YBkqTSyhhM4O2vlbHBWsj6I88AyopMjydxwVd+d282n/F3Up7qtEGmKu S79GFxI009UWNF/upMB0prrKzFtQudJpMz4eBB1sSXV7+wHQ8xlOv91B8CbAprQpddjoTyu0ycRC A8MK11dw25VPtYJuK30T7Tchr/U6fM4KbpslCtC3cwVVGFObZ56WlsZ2lEp2WEgYxwhbhQbxJu/z /aQZzWbHMYYmUws8SgkSogmn/QYV7V8g0u+HGVulebNkhHqVpNDq5gVi/3XwdbyjXkhpg3AI+RPP w4gzznRIVF0CKlHRaJgOye6d1Lt1SSlsgf3oXNDzYW4PZC2Zwo29/D5VNk5SvJ578HziYIGahHf3 6wDDRqVqDe1YJ5bCQyMcsP7ZajXTOeecFTI4L5SOBgNUphXUcYGv553XgerVg5RRQ2HpidsKlMOH i+immy6iyVPuqST5MJMqLLTjPQ0DLAh+harrk+m/4mdAPNhtkOxPmgQUOdBBlqmOKEm9JSGGrFHF g4JfDrPRfqvRaLtZgzWT6+mvAGksNmNGwgoYak2iKA8UNPO1IOYd+/ZN3AfG87TFHP+sy1UCvb76 HWaeaDLGPaypRdegzvmoUxi8bOPHtxM7dxq+yGyO7et0Fu5B+7/iIN3DbImf2rnj8HOwse74NxgQ zB9eo0HbqWmCrpJJTu4frXqlHKOxYRq+fojtCYlIywtcr2l/nczrvIsNUKfFQtIptqrUXDLRkZV1 iW7eTXv3GOmG3IbkOphAm6/bRs3S8kiBauzzj5vS1blRFA1xYfHnC0g5dITO63WxPuxfV62kBZ/P pyue7Qylm1FvV4pHu6KZDv+cQMq1e2jzVhOl5jamkkMJtOW6HGr2UB55Dhto8TwXxRdYq6aeJ3hh 8DyiyOI8rJL5JsErr8WBJUHWhDmZ0yf2Sh05llUz/7gY3cqHbqM8AcQtFqRsFBoMYT6wAfcDjdsB yWRHVZ3hDQyR7kBcz8OBuQUId4gaKILBJgowpmiquHHT/tJjNh+DXOInJ9GiapgJhoiDY5pulzkV haU0SFuPgtO/jnVrp7qs4zGOp3AwuA2/NYR0+lx141K92igZaASQzD1tcu3HgA9hbuJ5QnXKDLAf FGJd2iSb2X63rmJVHfgRVLBHzpWhw4Ta9NcQyYfVauB5lbqy2x1M6aospaWOGpmPB1IIMy/ug7V3 hw8X01VXnUuvvX5/JcazY8d+GnjH8zrzsURBag3uO3KBwsd/AwyoQbxOrimHGRAL15Ezh5OwkcD3 XRoMdWyjSwMzeD89fbPvxRHoIVX14Ll4eCb6g8RroHlVz3f9+rW4nr+D2QyPMifMKHMeOQfM5Q+j IepZt8e+UfGKfQYMaKqjkT5ZuOtlkynmIYezaCC+su66vHTuvHSw2ZTQ1+kq+qhx4t4hvXr1UjIz 95oFKlomGyy3de48nI3Fq/mGrKy9fSRJ7khe955S554vIKEwCkQvny7YfTlO7meT6v5bFYRueN4W RZWnQjw/32BQf/K4lMsMBnNdj7fkW0hpWzZtKjjcsWP0RFH1boN00ykmJn6QKEj1wEyv+nRBXhnQ PF8pHucEQRTLT2uo11YiuTcWAuvj+AbtbNfHNS/vXIXUeAsZN6iyejMesL3ITosgRf5LPl8q1cWB zLHJRvkNC+jsrfUo/o4cOvsajdau89D45Tk0xJZA7m8aUN53cdS0p53Kbsulv55NpkvxvjwAUIEK 7nvkSD6V2kvoqmtupJ4XX0ayQ6UEKMfK0K67YRl131aP4lK3ULdrNVq9xk3jVubQYFsdcn5dn/K+ iaNm55eQgnb3vdEakLIqD+8ndAszmShzmONhr9iN03YKTtvf4ZAYLWmGT999d+LZFY3yx9M57EYF s2ZMnod778I73BtqpNZstwhqayDejczq29ZMGA9efNj78X/JZACyVyxH9oW7lxlW0AmeML9kqP9u URWtVBK1B4Ov5ebatwHdtZ6JL8jJNYKqrAVBniQa7R9A4ih/L45n/sd7D6StN2ZnvHQNwBzYifR4 ZsbUn8EAHhclZWh1bbLWAXM5n41sqLevV3p6JZVrxftVTf1NIqkfgxw8HrErrq+rVIdUW/kzsBCG JT8GIX8+6oUyn+OdcG3uY8Zz5EgxXXRRZ3r7nbQQNR63w4xnyOAXdPVcTExU1UyvNkyI67IKroFf NcgSEHOmfxUFV5sB8sxFnDicayXJ1K1z5+VgKkmLs7J29JYkczfF61oHotzl2DoLILyCrouEWs5g MYltYLYFgxJ3ulzKzRZzNCmu0icGDEguh8He0q/Zw0uXlr0BxFMlozQQLAPd7lLVoLgeYcbD7YJo O199NfvaNm3aNBIUz2FW/5lNpfOMxugbPR4HnpuFoixJ2fPm7b0Gqrw9WQt2viobzP/xet1bwR1b iJLR4FE8V4qiu4dRjvnE7bYf1CGYgiRIYrQDTOTCNm1KsmWpziJNUD7QyLtDFOQxHpgJgPwa6BWE 3lAjXSfJ5izV62aVxCAw2VEG2fIupD0AcdgaHaUtWJA7uH//5LkCjK1mOQpQVudhQZDrGmBGsEaV PAQmevG/xYBEA1zLdsZSAYC5u88GYKpOGX35rUx5OyV67OXDFJ9wmOJA9b5bbqR1G4wUv85GDSSZ VLx99WNBE/G3c0cOHTq4n5olJWO/x5I3J5dEg0pxO+KgtjtAed33kRjvoG9WyFBBSzT6lXz4U+fT eYir++2XaPcvIzVFu/XQrkup1oxTm9e0xroWi+9IiNP2D7CJjMK3aQDnJVuNMhvrL6+xgQgqSLLy DvbrXTjFS7BxDMctulsIbC1NBaOcqBUZAsCASq0x2BRH3QujjPL3fBGnulgYyZPcivZZlV1jRiC+ sTqMW79FbCzIdB8Yy6fYy+MAigiR6ljVhZP8SEEwfA1SEocOoYYT3tXctodgB0k/DgkrglWpuYoq eYd5vcKfGHdjgCuWAhzz6ODUseuquzM5OT4Gett6+lqBl9TcCyiWCnUkK1TxKurzr1AgSeGy+GiU UeRnR4JC8TiIQqWvvsHfT6oXJjOeggI79erVgd6f9ogOYggubN9hxrNnz2GKjY2OCMQQySLpdcol IDAgXQJi36z/HglIFA0EIpsJCQjkip7G32KgdZ4EqAqWacoQDcbX4HsRmG4RYLiXgoDnm03kEkQ5 0e0qmg970HrYg0axFGUgqZJfwrXXRkFFEWLb1dvD3mnq9ToLbh7Qan/weqaldWT9eC60dpB48tLM prgbnY6j4xXV+xaYxQUg8J/J3rLJAA2kRkc1/4/icc1O6Z80JCtr9y2SZMjyqq5dUEs08kmgwu+K 6h6paiWXmE0x8zHXUZCaRmUtBBqWKNrpjJlkNJb9YTZGLwEjHGMvk6dBvx4jGiws4hyFRBcLn7R3 NU353e0R+slyGRQEls/w20xcW4RHepjXEMxnQkmJY47VqjxnMsfeTWIRGxMXR7xPalHRAX+e7t4Y WvVbDHWbBKnmN5F6JOGMA3XZ6hVRtDkPMKThTrr6Wjeteb8h3WBvQonGQvJApxmwQu/fv5dyc7bQ ueddVN4ztJHU3WOjD1db6ZrJubTxd5G6od36aPePb9Eu8FkPj3TQlVe7ad27jeg6RzPak1BMTjhx nMDCjUWkHoA6ZzpQdG1xrH0UKrg+YEZv4rf7cT9zw4jaCDduIPTWARn1E+jbBdg/QwA8SGfgASTi QbyfhqSlhQMy6E2xHxKklV80yTtUf/2BcPcIMhM9NtyHLfrqAYaFu6Mx6O6Yz10MX4Za4smq1In4 fXUm1HkYz2TQtxv8GqK2eD8/nDXjpa5DRox57AQ+k4ia8oEdJk0GGOBloOoEcptY0qip+DaPjwEH +0ZVeR8s/sAV6J6XzKgrqRuxF7B22isAGOiISckj2wBlz8Sm0KXRk8Z8WN1WUFBK7donUUbGGLLZ Qongrl0HafCgCBhPwN5zPFtaZ0A4EjXC/uPP25kB8V47nsZqepa1a5P9PDCUQ8AXpcsm80c40d8n S+bequYZid8L4Zh1rEONUTzafkETPsdDHwFw5d5b+iUN0CuIaiF8BwW3XNIY33KCR7lq1So5N7eN NHBgQqhKQKAjkmhIXrw4O6Zv347lUE++d9WqONyzTDQbG1/tdBZ5Uvq3eNbf5uKFC3esxLivBqYd 2AT7KlGS+4BJPQofkRshAcFOKJe4XCrw7lCXw9g5YECrQ9nZ2Z9s+RtnJsFnv+Ltjkch8JiysuyF /PZjc9pZWgFTsYLfYoMLZdDVdzMYbORwFjw3YEALHUYKSeg5iyluvstT1g6vmBdMSzMYS95LTe3o AIhjPuxJo+D0oG/0f6OwDtRmBrrtr8b0xxQT7dxopn6Ld9GH6dEU82EruiNjI335g0yXXe6mvmPy afFML/XfbqVmQTxi08b1tH7dGho45K7y1eB2G1tkOmt9Iq2ebKadW0xodzfNfdJK8Qta0h0fZNMX 3xmoz5VuunZ0Pi2dpVGTo7GAUUWy57BSvno1cio8mIhFqSHDx4yGyqkN/Gv64u8+MKC1bfY7M3OS ygFbx/UI4A/0Nnw2L0SbjQE8uBaNfIKR3yBK2uM1NQiK6AiCeLMK7TVsJjhMhi98OObz8aBho9/j GphDB1kSLsB+fhuAgpVoa2e4O1NTR2/B733nZky6XBPEp0DrLmHzBU75YyBFfTN4eCg4oKZxn5Dr KpiBTwvrlWVPJdRfxT5ycwtKoHZj2yu/l81gv7LBrlOtyhoMPo7XTEc+eoOcY4MaV0H2g57BIahP 32CPK65y0piPw+GiVq2a0MQXR1KdhJiQue/dexgSz0SoFQ5C4rGeWIknuCf9BI55e/wMiK8xA2LC Xp3H+fHuBlhma3erGL9hU8Y7nTuNeMtkjHnT4ykrbZzYJXPfnvVDQtoRtGivqvwGm88DUM2tNxnj p8HmMSRlQNIsTAS4fHWsQKZxYBxX9+pVqItLCxbk9Teb2r5sMRXDkJ9Q8TT2mdEYc4HLqT6JquXX gEJ7wWiwDTObG98GMrRdkoxXQY3VGIxBR/9AFQinM7V469bXFQAW9oIRRQHzmwK92h6Xu/Q8MJt9 WQvyejKdMxi8OvfMzaVon/8GxIYKBWpDCARoRVQDzNFHJYFEAhMr8ANyg2GybX3OekoR3AtZNYPa 8SxUOIDagWKKJdtQg2ftnkf1tXlCpZIb1MxCsUtaUue0rfQlLGNn/96cetSJpbV5JoqBz/r81JZ0 YdpBapJykOzpNpLNFsrdtxteOWWUOuxeOKMrdORwPu0+uJe6xNTXNRkHZRe1VaPo4LI46vLoFlr+ G1HP1c2pa3wsrUe7Nry5C1Ob0gWPHKAmNx8i+5uxBBxDtcWGOAJBFWramzgdVu03FK6jI0X2OxJi ravAKDqh8Xe3Nrd6ccyodCKuzTNQxbJFmte6H0ygEe4bDAayHgskwGD9Y03t6E8/qGzdbf/x6qvp 5+ru43sCUGuM/S6voK2D2s+qeuXpuK9adeJAX9SEb8CEn4EdZDz3I2gigBEUgkyradwn5Dq8AALt cMSImtpkQBFsRavw+rXD2OuI5OmKe1ZWdx8Ovy2ZbHo1ba9qsK8NWxc8OPh32WJfhO2uP5cTwnwi ods4BdMbbz5I8fGhJ6Hduw9R6pCJlJd3IELGU+M6Vr/OgUMfS0CNWQLCdssFLUX4nn+FAdX01HGd H4YJsVrwMZo3AaSHFyVBvtejeWcy88jKIhuM8ELgoWGgIKyCLhpv2HBtRpfOX40VDdLb8+Yd+Ryq t59gf5lltiQM2b93w+asBepSnMQaGQ2W/rApQTsgVNKT2+3yO6QVDQIgYUzWwp290PYa8IeuJlP8 pW53US6u/2Y1Kw5Auu+1WT3fQeJ4D974vYGgaw103D3JyXdFQ+fbT/V6luBt+0NQveyP4N9bkNkw dq/qs1Hx+4h2JFX16qcxvqZ6vboWCkzHqZ8+NcONWIMd2DM5sAMJXkFJ2LQpY0OXziM2GmXLVDA0 G0AXstEQ/ZTbXfIn5pwD9V081G6Cw3EUDzKRPcLhry7DWHBi9ni4x2jEMTrH46KV1/1N3VtptNfq oN3jW1HTODdtbrCfjFtjydPlEDWOkih/O9SqDaFK1yV3iGkAK6h4oDIgjPxXUlJMboh5Amw33O6f 7lL6+6bt1LUlUZ7FQQfGtaImEFj/bnCATNtgG2qfTw0sEh3KMZAJ2ziSt6Jjx3Tv2t8nF+ssSACE ufrSFi8HVK6VCt8d+Au5mJaWXjp9+sQbzZr8B2wfCQD2TMPxa6tcryAiG0K44bCaDT4lH2DAY9Hp JQAYTsMRI9irPtwAwy6HH7GpH8bmvTsxQbE5iytFZwhqjUPqQPqZgH6fAfPrA9TYKMDJdamIC07x Hc2KcgTgiBB19eBho58BWKI3oglc6CXtX5O8q3t8eAlqlGwr3o9oC+/iPR7OZ3EAn/nAWy3zAeDg EgNsuOjq7XB+WOHGh/Uu9+k7IcynOiRcYABs36lo4ykpwckPjGcbAAAJiEgQiaNqDS9MhJd1Ecgn ASUCHssT2MEMCKQqEk4aYS+RVgPtgVpJyYF9RA+JAZ+WydnZ7V7u2HGzLh3g98NAu+VwPX+b2Rg0 7DfsVbxZXbBAfdBssr2tektuhlSTsSF75lAg1LZAMhkFyv8g1tUNG8tSVXE+nTKg1Z8Vx8V+RfPm 5fQW4AcExjAAssdFkGgKPe6SaR7F/VRqait28Ps9a15uP9FgmihLxpexfEfAeJ6EjedddmSFtPYt JKProG5rCfRTjMUcOxnS1kCcHjEvTw42s67Og5+I99AhL8K0CLBccJgXBQxGyOPPYHLrtOji+bAl 3ehRnPEOh/kWo+TIwQnrABMOBjeQwYuwL9Iz/NBgD1sEX4P79PkItI/bgiFcXzMQ9GJeU3wsiPQ5 1LYeTnzUTDaSrZ6HCpt76MhbjSglP5G+uGg9aTfA7wZKDO3l1uTqUEBn3QZH1AVAKPObjagGv6xc QcqRo9T2rA56t1u3bqLl3y+nc4Y9xEHJKAnt7uZ2myl09I3GdPPRRFrSZy0lXF1MKu+SqW3I2Qn3 9yukbQtiqB7arSRKhp/QL4zOwqWeQCElAJnGEQ1Cih/5dBVOAYyMrFQwbXaODEvcRo4cuyMIASfD 455Pm+HUd8G/Ve/wqnmnq15hNLTj8ej7YkQwubW6Z4W329eeVrXhHDDuF9X8+DTU0hkjnwf8bWrB iLZWefYJUB32h/TTQdKEKVC/LfNHRWAV99Voh9civeJ40N4GEPKL8Cjxrh4rTNcD3/A+V6/WPObk ywQrwsdb3lf58wGRj+heoAn/YHsd1IX343A3BM/xlapi2uFaL6NROsejqBtEk53RsOVFBrTV43c6 C55vxTWKiPkwbWaH0nCFdZuRMA1dsV/hPMIRDFJSLqZJkz7SnVARr6i6PRXYGxX+jeCWqqoEVHCJ OsgDDAgHmFMgAYHZrAW8GifNW7X+/X37OMB4+HN2dgZUZfM/CsCvN/x1dVei/lq/fj7zS//+SUtw f4sePRboEoT/hMce5y989VVZnf37yZWaGnXMOzrMekBFxkTo7rlz4x602bbD0bNlycCBhSGRB1IG JLOvRRa3mZ/vwPUE/cXt1vHOS0RDdB+PUvJUSr8WEzIzs2NjYwyF0I6kpAxolhKYW0pKOlCOHe34 3o7Hn5LyLP3119WYd3/tFsyFEXZobsBX8/bWKXQWY8zNSsvvxboAVce2nr4MPmBuA3+lcpXOhg0Z o7FGY8rXaMP7UMvM19f0Jv+a/oOdEvZWGWPYJZeSsgxw6pkm6iPGkVIHGI0dFtrxHpyyCqNocGlj +jFXplXpiK65z0oxHLLS40bcNyd58eej4YBWIyYh+9m58K8RL8ougBK9SxrSrgwTXQE/PheQdFpO NO1830h1C6JpcFkj+jZHpF/TRWpyMBbIPrQbQZhGHAam4FUbBFeLGKsmvw9HxNuDT6PMeOApvwCj 2hLstR5YANnjSCbZ0JI8MtYWNsowJYCAg9g5DWQv/EvtU8dEFEELATJzZ898aZlRlm5ANIGFCB1T 7tkfrn+MnbF47NTRPNz1ORmTn2PkJSIKlL8TIAVsC+AQB3HB9zDkeOv0yXeB8f2Ms6lV88ozcb0P 18Fvf4GkfZj56sR3UtPKwwfpt+NAdT2cNctUt8L1jxVBxTsKrCYGpyiG6pmCRgk62fRFamCgRG0i WLOaku+VoJYOtXNU8yIg+Ot/YPupA6ntDjh4LAeTuQzPU3dnCBQALFpDEvwcB4vNXheH4AkDKxfK NQ7Q0oQvYZhP5QMNRxgQYV2q6APETIedT6OjGaBVfSkuLqUvvlhFAwceU5tytIT77r+ZjGg//ZlM iouDo1xEDKim3iK8HrABsQqOGZAuAYEBcRSHkywB+YhmpQOUPhEfM9lc/mB8dQN2f99cfb/p6LSQ cuWVUUcjXA29mo/hJIARFVZ5m6/NY4ARxP7NBvx6NRyr06H+GmCzxsIWBDd90nQVRcW5BY8/3Fyu 1KMw6HElK93LvwUzncAgK69RYM3Cr2lt1qSqug7NQx1KY6l9WXM9drUdIAsvLK8Dc5JgIzdAjeYk p8lO3Uqi6MKSBEhjXipVjwJKbaS7bh8R0uzlV1xH/EdHi6gY7XRyRdFFznqMgIQBy4t2VUrd0Yoc UNXByoWgLXY6126j3qX1gJxTaIVUFNHxFoQkF/DgywUyvIHT/C2K27oLuv4vQKv34XWo07q59XyQ 4KPQknJUgfKiRxTwukYCWXkvFC2iItFc2DbeVF3KTDCDkCCWfBMj4HCK7oa2eKLlx06ouxq5TTL7 6DzgO5CCOqra+1BpZebutM/BcwzrX8Lx0FD/BsQK+6Cq5wGE17UIKnozOmsDwsio/nPAaNbjvs3o jwk9H87aIhhpR/gdpnE7czMndoWa9w7ccyvDs6EurI/o0vPxMi2Fv85cVstxmBqWCMAv7sea9Ubs uO+9mjrJ7FbXKSapjhxrYPXcOJzP10PaaYg20hgIhsP/NYEYa4CHNwZKbyDgM/8pn7fXMw3znot5 z2bYdmBecIaFnZQuBRVKC9RFnLgPsN4fqKLycTCIouJazJ0+8WySZICA6JHyfkyGaXNnTp0li+6F A1LHhgaSrdCAX+obiL5Wgrk+ibi12dgfc4EQ+h3fGZrF4Xt6Yy0WHCosHgNVazkogW1lyUnWwTht DOHgAHr/RE9iPaHWUv/w28TKeww1BsFqy1EHGBzAUkmgWCxGOISeQ6+8soDq149nFIceqeDQoUIQ qyvwW1yN7zK38Sruz8c9aQ+xDe5YufPO6znCK70wYbZu96mWAdVak1nD0IIZUBMEoOX2d54gBvRf ENutxgdzAiqAGcAPaNWF0dFN+oma3AUn3nyvt3RxSv9WjAL63yzwoDI/M5DkG26nfQf2whkaCDf4 6XDxeDx0EBDqps1agCUxDhU5AQ4dIDPSbGjw8Vm6K5d2vXonNWnZhwry4RbFOQFimlD+vtXUOLE3 nZvxCtmsNtp7YB81aZpEASspw7JjrIiCYYvR21WQs+oA+wg1bU7Rm/4k9e7BEa014MG/o2JPH5FT YeMTW4Jg1IV95gC2/8ODh47+vmJDBQWkwBNkM85lI9xAwsBLHQpONVq1WKqMywcGdB/sInNztobw RRfo8kacZAch7YIerw3GOZzMwV2rsVPk5pV91aap9dI2HcqqBAzIqrofNsKFqqhNUxC6WZ+DKCME FUsbKCzXaCIyKqh2VTJt9j0suVgzCCsESftE8bAenmHaYhx4l9oq+ZhqEeq3h3KTrbPQLgQ/Doqp 5rOth9MOIFp0Cnjo5VibS0Gk2SP/4/xC+wdsAwusI47/LkUTszHv2xU1aN5a2HkXYhQbMM4bdTHZ Nw+rrKlmlSzVOq8qBrlIJnENAoheD3X3sXvZTuzgA2FkBXardyEVZ2juqMtgtT0fe7gDowfxiNYo gmfCoKGhgUsDrWIr54ma+gLouY5GhEUTKTkQ301CpNwKJYT5MChg9+58Wrc2h3qd79NFB8roMbfp qrElS34ljmjAzGnIkKto/DOplWZTWFjql4iOSVwcA44lmxcmzKE6dWw0JPWqkPvuuacvUD9eevHF ubAL2PSYcdWWE82EmE2zBNSUGRA+AwBxKiSgyLZG1bVgqD/boJCp74CkkJcUqrBoqzW+OSaJfSQL BgPrunN39e17UZWRkKvqhR1bo6Od1yEo/9q+AxJ1e40/0gE7g9YqRtU/ne8pux+vtZQEFHnHs2iX t4QaNGxM8Q180hrrIrfYD1ESrgV28Z6NLp2R5O3fQ2/3vpvGP1lGyx5ZSK26gT6h0uZNFroI9pwX H8ig6D9X0AXdOtP2VUfRBjSU/rLTXUjNmzenmDo+RJxTVWjbqiN6PxLHnORsNLUoQIwBQ0f8V2NB TDTeJ8tqrFihQnBwS74Egs2SeK3b8UsGP1TXP9Rza2s7PpYEcU84YEVIU6x+A5f+o2L7uJ+Z2PM1 9euP9B3RvPFc+NB2XAc3wL45CkRwJIiahlbldb869ktU4L8ai19q+r7Giv4KlcLrsCrtvfc+r8R8 WPX2TPpQXWphiYcZSF2OGh2mTJv2OQ0beg3UcceYD7fLEo0NUQuefjqDonCtX79LQu6+/4GbdfvR iy9+qLdfIwOKdJaR1gswoGYNfAwI0O/TjgFpwgyPpDbFlAN+NPrsrVbbedBDf4NoBrqqQwXyWaNW excs2H1X//5Ng8Om17haRqP9Eou50SK7so9RR/1rvOF/tILm8h0kD+3IRRI5fPAzH1dRIe3ditBY Fx1TMefv3EHRUF3LCN575Vk2qpPdlMYoCPiw1adlQvAW2r0tn27oUESGMqjVEHJn3zZEFep1afnq Hdy+nRIQvYLAfLg4jx719XNBb3yBEBGJyfR/9FmcmdbptwKVbD7s/LlixVp6881FdD/sMRULSy/8 V1WZMX0pZS38kf7zn5SwVdjOw4xsDCJWR0F6uva680LqPfDgLbqENXXqfL8EVAWINBJs6fE8jwAD Smrou/t0Y0CahtjFQiVpBvpowQCUlUexT4H70Rc4njcSDYZZIkJdQFe7rDaBQ00m+XdH6ZFH0c9P x7PE/yv38OGID0tffL4Qh7VLqFGjJgiVcwBqGZnmfzyXbuk3kDZmr6eu3c6lr5Yvpg6dulL3Cy6l BETZr7cpgfa1PUzb2x1ktxVqnd2I6m9OoDouhC7Ce7Exex1lLfC18eeaX+nsc86nzxcvgLpbQbZ4 RMwuLAS/cej93HrbUKjCjzPy+//Kwzgzj9NuBcKi3Ww2C01+6SNkpbbTQw/3D5FgqpqhGwnc3n7r U9z3MZ3VrllYGAu/qPzHDIhVfA8++Ab04Cbq3btbSLPcJ/Sd9N67i3X1XlhIzIlWuwWPIJgB8Wf4 Iv3bEtC8eVv7ICDoY3DEaaIJ2g+ILjsOtpR8OJGmQlq5HLFEV4DY3QuYcSlgyG8hnpkeMiMrK6el KFiegUK7K5Iw/gyYNMRRrZJul+kkrgGerP3Uv39zXX0BcMAE8HAdLQLfmYfRbwtEJ/5VNEY95HLb x5WVGb+zWWkSVOVX4N79Hm/Z1P79Wy1FPEyL2SwmIzlNNkdF8Cp1pqleF0Rz8QpJNpwFH55voRfn 8ddapXc6vUGBQLkvTn6HomDzYYbATq9ntetEmXM+gf0yHtNhUI5Mzzz3MuxCUbRq/R9kdAKkAylo F/LyrBN8EWKaoG7jHXXI5JLJXlZCl11wGb0/Y77eLkebNcMx9eVXp+v2HmZwnDGsW/dzaeasLP0a p2Q4U86swOm0ApWYDyPa2O5mMhnp9dez6Kuv/qDbb+9Dl4FBJEEaYOBAoDgcbnis76Nvv11D8z7+ jnJy9ukx2aQw6Rf4HrfbA4ippzyyNRvvRo54iWYg3M5ll4UyoEcfHUBfffkHnE8PVvIPOikLHGBA zRmxiIIoDL4gepGKXJFzx8Xz8s6JstT9BkE1N5HmWS6Kpoc8bjeHAYHeRuxuMccNcjiP9oVT18+C qvWBa8HFsO1sNhhKcpCOHUxJbgoH0mUgUtcj4GeiopSGDWvPIW/AyJ/Mytp1O3xnGsApE9kkPTfp jq0L8y4xGW19EaLmfkFVkQoXwUyilS9kGRBqt/11oJwuNMjRS9BvSwSnVTDGexVyFjocjdaaTex3 YboVba3wej2S2Rz/CGLA8d5KOynP6hR3UqcOfMVQPvlmLqSU32jyy+9T/QaNsNdd9PYbU+jRMdHU FYyCi1rmoV2Wg3SgWSx1+KEBtcL7wjvKUBRNe9sX0a68Q9TOCU8f7LN69Rsgh1YRvfbKi9SkWXO8 f8l6G18u+wwBeHPo+Ymvox+fhB6Ju8MpXqYz3Z9GKwCwgXErgCLBKLwTPfwQ5sMZSVu1SqQXJt4Z xGBcSHzFfgnMONwhzMfpdNHRo8VkgLdUz54ddCkm+68dpIB5VZRWWNp56+2H9TYCthx+6Rzo02qt DNXmkx2fGKsskfKAf7JiwTYgxOcnO/Tq7NAbUYm0HgNuqARgdkAjhV+gHDsKAn4xuuA/UCuhBN9B W6Qb+/Vv+j2iC9xkNJoWuZ1lXTweW3MwjKaIdzaif/8WGQh9Y42xuXaACVWBfdeRVw1AqWSwxlh8 NsJ/qzN6+RafS3QCpmkDbry5wXw9x0/n5S09zpKPFTIul0nJkw1R3SFdnQvIy1dmBC/FI3JYLE7k tJPg8en9MKVfEkcDpk+ydiOCtXANPqZFtFSnayVLqAtD4/YdyM0oUf8BRTWZ6OwrYPtM9AERuNRv 05IOd7yIxv66ns5q24riYlvovxcWFwB0sJMadOhCF7RuXl5fi7FSz6uuI2NdH4Pj0rQTcv40hF0y qAgQUSOPxBa64IAbd8GW6I/7e2LsAUMu7waEi9B+x6Hrm6259lVVwaCDW+OEZNgX7XN22mcFO2uG e8ScrgBIsVtw3kUqY7WUE/RBpFNEU9nH1UUeqNiWP1+Nf8+rSDIn4nSkZAVisWXOnHq1kdSObg2O zoLq8fXD2k41xgdGhBgqUDEOXJtlh7LRDw4I6Qbzuhi4NKTtIDs8qlz+NjigEdtW+aTJoEWIvup2 RVK3oO89VW1rwLL7o7/mmHchxqD424KbsBqvCmKpuNM+Y2B6ugcOrfVkrzgE8dGAJBELuT30zaPH uDkUlV44tBpiP9I2wLA3ot9KsPeqxlHxuWlegcd1IWhArAaXplZJpAJWziiWg5ggAEzqL2qR6ddA Jle+H/mDehsF6o51KWVPM/4NaEYJn+OC28f4gH4XORow/BGUH9h3K4S6M3yaQQJduiCmRwSFUWmc GoH/uJSVuWj27K9owfwVkJ6UEObBzKg9gopGWqp0XmWarsOjI23pH9QLwLA5RFtN6Ltw3UQY2w2u G9iApZcj/Dl8BTjEjGiG6kqPCABVGELRuIDQjNKTOyFo6G547mP2yFWoUhI+828r+BpHKkB4HDiE CceoXdC4EIEANh/nWKjd4LTKarfdSxCu5mUg4d63RtkQ7aXU63Tv+xTpHIAiWCBsIVt9+KSMkFXv JFR3QHLyr7oDC3Is8C0HRQX3WR/oCmM/DCJWYzDDf/BkTv2toPXKb2sg8DUkN6uT8b9Lof4iC/b4 ouV4w3B4wp5Ja9IJGKnN5PKs07ctR0C99+nn6I1Z51Knvq/Tlb35fSf6c90iOvjuLTTs3m8QqHQH ef9kfDKSXuPQ9kjzrogY9gcp0KZyVIUruR9jffJ8ulSXeAxYf88OBDFHuJ3aFPiedJHNhgkifHrQ 7t94uHNUzYtQ/CLgwpSAVxaRLoSHcd4a16aF7W/40TycOvyxahFb8JX5AA6K7eDvwShIfV9WVRQE /JNVHL0QT1CWpCZ6gEqEF/K4onifzYlkLvBHudQoCh/pPiWgyooi/AboH6ukjzlwaqpbFYV4xLOc zP6KXBBtmWHXSCamo9Yb4MCWgtt7KibD0bkfTFkEOPHjIOTB8GA3hoccL/ScEXlOeIBog5/7FNxb gmdYF8zkThyyWyFFtGPOzClfQ8v9GJBrlZOyqeRC5Cf0qb2kj4cb00PaSLPxpXzNzA5kxjKK8PWk a6GGv4rnyAGjFK+2Av2uRjRpLzheHVAC1pJ0k1Q5bu4Hk78B838fMPdKYbTCrSeg8Bdiiz2LCNSX IY7dLvQxDWvyE1zLDpJBQfZPORnMb4AsCs9A+0GeGM9jaOelQFuySm4cIOBDQE9iXeIC64I9tPhY f9j0GtXHPuoJHyvgvcVhuBbKfKpKJhfJJuA6UUj8NmrUDXTeee3BeP6ZAVTCivgclU4Gl6lmhroA 8++OAVrKFyTZdI1HKeyS0q/VBqjFGP7a5dioeBBOPzHHhoCvHE5hAA+K2ZxGgNTSAajwIhK9IZ+I oRMYUpWnLtQLYgq+N9ZsboTf7FhqzWuzNWNi4M7tYetpFuPHO50Fr0KieQjqtiEYY6bihhgc/oxd fpDBPsKpUo/y+b9b6iLq5sLFpM5bSQ7wZAk5eA6DJ68xFVGCy0gdzWb44cDpAYkAbXg7EyHFaxJU 2gAUqE/fi3WHvw4ClRmxvzmygdmDwzfC3Rn3IhzFg0/QgeISiKYISYVV3QhtwU4znErL4ikBYLdS h0gFgFXHAD0ahaMkCBmVGe0kWI0R+3GAaA+TzfI7CAJqcinKo2AqISFS/A8uC86lz2hez8cmg3iV 6hbYs79K5gMHx+6ITdeOHTyxAYajbrXMB1GTmUG9iBN+huKVt2CXxzEDAiV+GP+JiPlg+RA+ivND 4j8K0mqYSi8OjtjArSHB2nf45ztIHOwQOZEPtmAYOwcNf/TtoA2aPjtjyhREMXgETHeEoMjnZL76 6vmBKAiceRN1f82cOQmZdaUPuD/UQxSIMYiscawgEsNESRAf5wAcYMTnQ7o7t2K21cEjRzNhXoy6 HPPzMaYuyH3zAxjGkOC2/BLY6/jtdYw9D/01Y/sfTqIvDhn52FfBdTlhW7RJHonrL2GrXT7ng8nf ep3KcDi57qrqJUTE7TFglpOwB9jPcsK2PPvTYYBHfKhcBAlnHiScT3AY5mj55QVzY9DRT5A+t2BJ 9EMAWM2GIcNG31ixXzC6Vkgn8jMkIP3kGlF4HbYBrVy5HiozPmX71EnMFGJjoql7jzY6ei24sOS0 ceNO2IMQXNHo60KFVMXwapaSglNjczsrV25AXC9niHMp1y8tdVZKNhdZCMWqlvt4f49chXY8PeB9 266nVNAMz8HwXwcM4WyTKVrE5xG81WTZLLjc7gCQFlpOi+CRSxus3TBtdudOI1cbTbaJWQt3DUUD TUXJHIUAn+HCaRgQtw0HJfEt2HcQHgGkymiNd7uLPxswoHlB1gJ7AySyMxYUHEE/iZBc6YgqlHKM 6b5QozUD/+0N9R9kfHGcRfbmiJJJgMd7FMAHojXagnxzTo5xFSh1WE94PGtx2tyjQQlrMQoFYpT2 WdwB6pPfkH46fyc1GXiAdm41kGN6OyptU0jSHbtJzEMU62WJdACgnD67TUBkN6c7b1pHjRvWpx25 2+jggf3UpdvldN9jm6kZxGAJ/pvfJx2maKubGh6IpdyU3dQMys4fPtDo/D9a0O99kHCuZwGJfyH/ 1+4oinUbST5kJacLDkcRFE6WhnwzGbzlEJvr8SoYj94SGERh5qvj+3libXtwqDgm7obpRxPloUzI wHyYnvZFNIM6fr+eakfFHvsgrjtw+u7GEgnoQzdOT1DRI75iIyDsSFpIN+vRDHwO9YcGBQWuDNNp ri6iMv3CUYDtGsGM6khxyfiEGOtwtBWHxHOdlVgPx5CbGdKOKG7n/CDMBDBNKRABO1AHzGgsIgJA iyH2QDSEulCYs6Rwd7gFAAC1wC/3MEupVl2GMR3F+rMLBas/Kr3f/uyxk7EmPyH6xDd4Dn3IJK8E Y78Q66unIAkukGJHGyQJYCLeA9rLYHxPVfeQwMAXzZ4xeTHm7dMTVywin159awuJLCxfgc9Xzqzp U2Zh3+m+AhExH2YCD6W9pUc/OGaHgdYHD71L11bIz/NYpTTaP/64gR4f8y7F1/GtE9t6mrdoRD/8 8CoY0jFmxaq+J8ZOA1hhL07gx6IqsNqcbUHV2n2qW63T6FppqZwuayUFomy8RPO612uC6z7Q+Zuw MRHmRtzuVRwGiyWukKekKHIevk/Gx9/S05/VFmcWX+4VpDSo1GCPcb3u9pRxuoOOFacPQTTH4y6d jN1hBkOB8At+5ild0zhx/0dEzVmW+VDxutfKconuFY14c1tgX7rSIJk4X5AZG2sA6kfh3vNIMRR7 xDKMQfsWkpHdbDZMxumCT5e+ItAUvKD/Lsc+1c8XAT4OwyXgL1MZFDa7aP4XLjon5QByP0jUo7uH ll2RA52JSHUzmlC9mw/Q7iHbKPcbK120vQmZEF6ndUvfO8z2T/6LAhKuNVzqKXcnHcAhz9O9mI60 LKWdB/Pp8gsdVHBEpqT+B2kxQvrY6rkpekU9Eq7ZR3md86nD4pZUCAi2XVOqDZ3C/THBRsoLVq1g L2nrQHRYpVptSU1LtyOyNKQEoUdVFV99dbwFhPs6BCphyF8sCG8Mgm7egvqciqDawgQc8cSQTV1D FlqqyxvHq4ksUXCKgiqLV6I0ZJ7fgX1YF4TZqqmasSIzCL1ZBeEJnIlAIisUjkgAaQRBb8VzfRxK gM40tIBg1niowtb/FEJpD6i/gDCFHa2qEkSkWaNWwzJF5MUFSWQVJIxHcAZ4B0y8GWLRzcOaXBhs f0N4pbNlyfCSLjGqtEM0ldSYG0nfq3DLgMUpPJNSMf4I3njwp0VoJ3LJhxkBp7SuaMfhAf3yczat WbOFrr7ah+YJlKSkBhQHmxCj37i4oIqomEAuUJd/57A6FaNeh38YgT3z76rCatgIJ/SyP6Am61HL dan4vCGok+8DnxFck1UVY6Bi1n/qm9qxCP+kVxjQpxUH2LdvEkd4xn0Vi+8w5csFxCWpvAJADF/j C/8Fl0DbwW2FtMtRuU/oAv03NmanPXujPI5dyQXmlu1VUr6FW/mcRuS+8BBFI81Bk98g6ZyznwAa pZyZjemgQ6VBhU2okakESnKgSf1zWrb0U/rjt5+RyfRCHaQDAkplsCVENXCTsQny/CyvT3/U9VKZ 2UPWzXUosdhK9h44X/yVQHtebUHnwWZ+iRxLz8t5ArnUkACQ4ZYNto90EEazX5P8VqRLCyI/B1rC Kl+6hJgoMBrhKKSBlwycSpq9KoiGov0amU9yfLwFmZvNXlJfgrF6Itrg3IlXAgjRGdlMg9+D8uFy sjOwj/6Ievc42PcbPDIsX1SP+HhGgRw/xF9DninQO52OChq8zEML+8uVcwG2ZIQpuB5sKzrpts/c 3fZpLZOiH4NTeRIOAb1aJUXdjmGWRx5BCCJEr+f5MZ5Jex/SYkQ4/fzisl8SrFEvRLBnqtwnwREv auK2ej+sGissLPEh28ptOZzEC7AWgAg6dfRBQIMLBxI95faaCFbpX63y/yS227+6hv+tjRfQwcOx rh3xuxu225Szm1oeiKdDUJnFI4+P85BELQ/GU6MV0bTlhm3U7EYncr1KtGkJQib/EkP1gQ4tsiOt DupfdU1fIEUvRDzFMipFROsEGB3q4nopVHUlwGX12tmYtqiHqW07L+Uti6YLtzan76I9FHPnTmpq 0+jAtKZUvC2atnodbJiubNwOWj+oYOojx1g/PpHjZwV2Q7DMyIo/tP6TVdVGBs9R8EX7XDbZZ3pd 1ldA3Mw4fbPNo31VYfnL24p3RGmqXAeGzHmaV7wSJ/bLmTgqivQI6qSG7dPrugtYnN2abPqMvJ73 WOPDgIB9ZgdHvD0u5gPpLbpujPUs5j1Q/ylYJ47iXuuCcdRl8Ygtn4A9AAlycgvDoxFQ9XMwn/t1 IAaJrPbTmQ9LvjDIXQ4Gz0sG1bkSUegcvheSIa9riK0p0pkhBbpZ9FoHccDZwD0RMR929Bw7dpAO i/bBpDFunNBYWrn4ks5QucVVGsNvv27+dyJUnzLBp7aSVm3rR/oYz9T7b1gBNsy+nzHpN4BH21ly raSee5hKcd49q64I5TwgX13/pj6mWDL+Xg/2HuQMT3aRcvUe+mtNU7rKYKHdBYdJPVpAnbtAk4Wz 2wEEDd2St50uaYZMBdg6VoAI4upptCu+mJq1dlM9s0RftzlIixo4KbEkmvZMbEVFnUsoZshu+mYi fIQKlM3pd6dX0u0HrxUiI18MW4CFCQ9QbPtadiiptn6k66xHbDZKUDMJwwfD5gIww9cgfDewVR/O 4hztdGx1bcG+aDVx5s0CyxEtxvUK4lxfDpU++JlwK9p+EkbzSgAaNP0AAog+7k//zCd3E5iGBfmc joVbr6ZTPvRXBCbUjbW9YZCFOkCTleARjGAbRaRrEFwPbfdhBsZZaGCTmnI8bfzTe8CKAZCQwHx0 EaAHDh4NYPs5iKjgvWDvE3kPgIQXaAZLjXHtaj0WHRoeWmSPuT0k5zT8Wjvmw4CCO4JSIdQ0mDVr ttJy5P0N579T073/vdcjUGj+g8H7/Gq+GoYEcJdB3C92ux0fIsdOteFrEEnaiBTXrIs/tGHDjCdr EyLnHwy11rcCKcebzg11XDm6CI61XUWLta/LY5/H9qWqGh0/Plvq1MnGJ2ltw4aSh9PTO1afA6XW ozv+G/aqZZ/lGMuGtfqmmeZJ30SJiO35+QqZWiYKlDqiBCm2iwlh3MhxSKbFi6PI/YuVunMCV2BO 7chc6sVfoHB+n8JCxNxsjvBTsEx4d0ZT1J35VK/133Q4z0A7gVnqf72btKiD1KE9jCGLDbT6axsl L4sHqk4VNmqlyy6paSoCdeLIzj5juZrfq1f49AU1NVPpulEeht+2lhNrjWbraC8dEka3w7A/rjq/ HYsBgECk/HSYHca7h49dCvBBDp53SzBKMxmk+yoyLxjLrwEW1rZtp30BkhOa0Qf8SwSA3zXAm/zJ 1quZhE8a0GJnz5z0EKox9qAZlBRXM9oOdrB0pcjwMlBuxx5OFW2hPjthhhBajH0EGNhlmDuiWKuj UlMfiyhwa63XvIYbkJIe6Dif7hNraZEdMhsZoUZEZBI9ureudTu6PRdhbE5g8dvKYvgZ+ZtlNWU8 UJCP6k5KQSUiyac2Y/ty+e/01FMZOhjhXwkM6tdVRmLcqs24q617XHwn8ps4E2inTiM+Mhpst7o9 JfsQfaBelDn+Hhj8B8LuovvkhCuARUd53B6GtLIdqEqVyAlbh+NtSNOj/nJ4+XLm48EJLEqOSldd do4KXCXzSU6OB0pPGeJHKTEEl8MCLYDCYGVKSlOGoZ66YqevsuIO789ytGs4e2oTauqMosZI6HZ1 xnb6bLGJvkWG0WvuPEpDBij00btGuvvvtlRPLoJ7CZLFLF1ESv5huuDCy/Tx//77z7QAsduuatMV OdUFalsSQ9ufaA3PPS9d+3YufbncBAZmpCawA2392EZnDyikDX85qMXX7WixMZ8Oeh1+m101y6HB UOgXyEGQThgTx3SGgqq8FuhZLTYsJ5vnMKhOAmhAkuKOYoj28qpHJsex1szi9KVnQFuvw270uo95 CXfCvjMRqLtyZgBAwFgAWtiJ1QvG5oW/swOSFlNToC6VahF5gTGgYQMeRCvuDjKAFW3CeVSLRyvn yTGekYAuZ4bL8lp+vw/aVR9SHttbeVX5he8JhnkVgBMfK17lBaSuCBtp5GRsWLNBKfaoPvIOWyK0 mt5Y3xfOLOunTb49cEJdIvymlkTY4T7wz5M7syENj9njUX8JnntEzIcZyYEDR6GDVagZR3yuUBxw Lp0+fYkOmWaphxFqHIbnX3HROWVqt9pumcjVbj3aj2hJhihmPB9DCrgdKa3h4Cf/DmD0Hei1nPnA j6cNTG4iYqbpun38WwgJoqdHlsuCpZ6srINtDUid0DfFV48Lsn/WLSnZVbx163JPz873ti/h3PMD EkPQUei3vs0WX7+kxLkP1zj0fXlBCuuGFou5XkHB/h2pqR3LT0ssmfToUa8DVCf2lJQGVYjwAlB7 OvMJLk5FcQBWS06W+nr0WFOnb9+owxhnnCzbErdu3ZWbltbRwWCMxYvzLgWkW2vTppGM6x0BCe+H SAsiPn9Ur16Hgl69CsMmIKvtE6tt/fS0dEd6xnOvLY068uL9e1prH3bcQtEACqzfCDfujTE0qLOR 6rdTKBvBqS+5xEm5m5yAgalkLi2l/9z9CKmY1OH8Q3AzKKZrrr2ZLrj0SjKWusgOFN1hs5OijPD0 NIq0BemlflxipWefLaJ1fxppx+pY2tqulLo0hUu9oAifK0c/h8qtRtsC6LM/hDZmqp0YJ2Agp3og vFMdQHHfDKwfpAb7rBkvZWD/6j4wIER8QKqS+YC/xmJsntyCAl8yRMmQCVj/ePxWBwbzBLgODMWv +kGDs2jCqbKnKit6NA2EgHG3ShJ0z3omspz3pqbnqBvbNTo8CPmGgutCEkKeF/EzSRavsgmGBwB4 uAmAh/XVtMfWszJQb2Q4o+cxVp0NQeJZeyoZD49X8cgADPr98XVndyRA4aIFBR0GrqVNG93vL2L/ sJrWlg8B4OZbkVq7a6CuosSbEHtwAr5fHnx/RMzHbi+j229Lp507D9LIO69DSoQQXygyQNjlPEBf fbUa8ad8zOlfYTw1zfxfvR45M6ntMBDH2GlE3DWo3DotRj4eqNtWo42WKzP36vFb5s3LawWgx2xZ ks9jJ7xFn+zdKHmUQcjZsw6+iTPgG8q6++vAIJoaDMJ8nL7O4yAciz7Z84vbI6Qwk/G4PF9HmZso nToNj1Jksb1JFB2QrB6CZPUe9wGfopeMBstoj9tLQMK7F8zb8Vz/AS1YYkHw0t24Jo72Ki6KscUX 4j6kYWixAOq0s7p0iZ/vVTztAE+S4Q/0RYm96DYwp4qMprolKWvf/vO6ise09ZOs/F9xzulFmjsm qVn8DrTfD8z4T49HeFOStHxZtn+iqVGzVNXBZ7cbFY92Y/6+9QiLnsTrdUqKWqy88Yqw/55eUlxS aYxTO2vwUdr+rYna/tCcoup5EGx0L2W8F08D7yymzbduoeTMZmSDU2kCksIR/nYiIEX+oYNwQ2jF aS9IzcklARDt3U2Lqc2YA+SC586fUxPpArcZeYOO0Jr3k6jF0L1k6+Kk/CfbCF8I+cpOTyn7ktRY AKI7xCZbPSAqUUM2AqempuuE+3gLkFODGGU2a+bk14L9O0CE2rJmR7fdkHAtgx2qzsDJoVgkV0CF xVIOoN3TYZp4jO/HkB9cNX7825xTB573Y9Duj2gLikhfll+ouoB3980AIIpwPm6Vpoc2xIp+Ppw2 nEPfwG9oMaS25opX+hSOpp2YmVZswBc+TDsyaJgPqg7n090SSZns4yQJ0kQw5RVgQJXy/xzvOtf2 Ppwy4gKRwPC4YW4hn31PwL++/IZM0OopJWaGzYZNzw3I9gVQIY6C3S4eN+qSJ8uXcBe0IIrJj1iv V6oYl1ZBzeqB7W6SaJTPDq4fEfNhRsIwa3YYff+9L6hbt9Z0/fW9ytvhuG0vTrqL9iL45k8/bdDh 1Xa77xATKBwbruJvgWulqFtSXKb3EVw4PXewQ6p/8XzsPHKtVm2fW+X6el+17TDy+mAOe7IW7EiT ZPOrgmT545OsvbleVXm5f2rSW7otqNOuT/Eyd4Aj50ioTR2yZJrtkYTliOXW3BqNtL2k6QTEIClZ 8JlvCofUrgjAIqhGw/dInfs+LvXFlrHAAbWt6i1L9zjt2UinAO926fVVq1bN2LOn8bAoc9xop7tw lupyLxRk+b5oa73nQPy/hf60mdEUM9rpso8yqfSVVxYnGGTTR+h7mdVK9xgkc6cyZ0FHpC9uYTBY H7Fa1Tbob23tFt2Cd1mIxT67SNCUUS53SX3ErJuqeZSJaOcqUMvGWM0ESNTfwiMO0RzEj4F4WS7K 2mtUVAK54tQVSD9l46ePHzpGzl1x7+ZGwl9PAbhVbKAj1+ZRYaKDJI9GF+5tSPbvoeWpCzsPDg/B cQ/37N5JOdv+pnN6XqBPggFSBch3cRAHVfEnEzl/qEs3rmtNud33khNvawfk0LR/25Cyl6nCvlI3 ZWn5j0Pq8WXlrKkItJEJj98ZsIHssXIcrY013VbVdRBvA0wt/UGHp4PxFAS/IiAZuzWvdhaIeGMw vGj4m3Dep/DQbkg4YIghBANqorcEFemoNTLiMNUyp7n1OlCcz9DGHWj7hgpj0g87/MbBoO5TLx1n ARrrczAgOH1TsiyJzb0xrpvQVNhoC8zAAn5FqcMemwUVHJx3hSuY6UIazADD7MYM8ziH8o9uw5rj QOjzvAWf2bZ1t32nvr9E5U8V6jj+HbTVRCaRs4aGZT5QYWUjJscbqPkAAJiD+eDLPBdIwAnIBLuo NgOUbc58ckWNw3oJAS1NRMyHO5EAAWV1Gv/75BPTAbFuTsnJ/ojP+qQEevmVe+mG68cixpsTUaq7 h7xkzFjqN4ivZAfiF7HXBZ1w8msc4nzKp7O//tqup/T+V2xHtVm5460bYWw3bj6lf4vXoPZaZJI5 QrRwp8Uc+yaIf1SPHnkLoKbt4Hbb01P6J83guqi3WpZNLRgmpdE2BTvJziozSC7nQB21WRa1+z2s gvBCTyoI13PmUbNJkzlqdr9+Sc9wG5B0zpMN5kfy85vVx4ZMdbmL8yFlpPI1qNKW9uwRezEcWvdI kiddUVwKmoN6TzgXUlY9iyFWiooqOA/a4u9xqHrQYDDPx3Fogcd7cGRKSscwviYc7cAXOCVQYDD2 6fdVX9A8xLgCr/G83q9/C/1FX7hw5z04MbNOngurBVjduC/z1ewlMc3qYMre3JtuagYfJJ+f0qks 6SPTvx8/Pf2+5FLzW887WgjFZZr2gWkdXXqTnVY+Xw/xIgB2PaeAaBNU0TzQILUAM54N6/8sHz6b OcyIHDZgW0va/6dAO3rtoey715G5SxH98qGNrndFU5dDDYV3tAM0Tdk57cmRT4cLixN+OUTlF69X 5sB8ZkQTgBDh5XTCx818VLf1WkwtZuDQ0Q+E6xBE3Aa68ITu8yNovLfCMx9VjK+Yg4q98hHuZgHI zSDdaK4Jd6E9jll4wB8u51iXUH0d+1LZ+7/We0MgAB4E9h9hmxPgHZEVLOgoVdJ4PS1QwXXclmR9 Bgyz2sgBkbV8XLWu0Q1RHD5VpXmB6NRbc53ZLZOsW8Ak2zJvArdmRh4WPg0JtAjX/oDU+jBowW2o j0zeZD9SbJ8A2HWodFHDEP2SUAi0P2LmE2gb3uxUVFRKDz/0Fi1Y+ExIBIIGYC4vThpFTz81A2kS QkIeVTk0zm46CVJTuHLdtY/7Ix8E+2lFLlEc1yMLe9O/2yeYTE+TIfZa7NnXbkpJZGjmFKiw9kA/ O8rj0VboASFEeI77C9RyW1etistdvryR1rnTNn8cNcR60R0L+AQqHMELC62FMAVqgNLk5Jbavj3r kdqdkJjIV1j/zyhMp8MhypIR5A56P3/xI8pWzJ270ShLjaHGQFQvgZEyyHavCbs9rpJvwTIOgFl9 A6aHPESWAQhx/YAoJDyOuVyC3ysifErBnI6dVNAPnFJayMDSmlS1DBF69AXGmMuNyvgFYbOD49D5 6HZ8fHwsrKS69H/inu8/byl95Pi3wYDU3UbX28/GNBUuXNuCfnyoQGtSYKPdd/xNneGns/q7KFhe YQFB3Lfte3chvUIZDRl6jx7b7fDhQ7QLKba7xTUkAxRNyQiweaRFITUaup9i6wCgMKEujdjUlhrG C8Ljyg56x7n/jcdHPPVgbUbuD2PzCRjPQJ86TLwLJ9FX/gFKEjYTocoTMIjeRzi06DBr7MxzYEPp ChvKuopjZtsOmFOl0ECi6nlZhVpPl9QQTxXb+xqoDkdVmrPgtyf6dsQ/knz0FjT4APvaYmxgxGgw juEGlNfTCFszhYOOYg+PRby7TxDB+djpojYPLKgu899INzyYRTNJkEFPGOquFakupdwex0wIcdre xNje0MMSEd0GQMcTYDTVhWbiiOGBw6PayGxmOHt1zKfGocJ21zYi5hMsefAphNVqf/zxNz3/3BxK f3ZoyHJyYjj743foDCoQ3eC41ls/Lv17dpbjGtO/dBNeUhuCdo4zyMUXgXg/gu8JCH9RV9M82ZA2 NyHHzkEEDEUenjxWZyH0vDxDpbyY5OSNnfCUsYW0qE2bLt/XudOXuyXRUMflKZvsdFpKbTbtTXb2 A5N6q3On9QjqS+VxjTj2GpgVbreUwcaSZTLXeQGJ655EyNxPBck4BOkT0gDjvhr9fSxLlp5Ot31l dnbG8s4dRw4UJMOdiM/zMaSTNxAV+6x169+/qnP74XNM0fE/Oh3OS3FPCPPBFv/YbIod98nCXYu8 mncaRJ0kqA7Hud0lBbJFXit7HGBMMbxhy/cjSCPSPvidyRG3s3zpzYjky0ZNiDyLM/fWXZN7+dH0 9M0nFLFzvI8ZDOhdqOA2/+11vD3W26T9/WUtYAnT6OPPW2jLvDup9frGZEW+bV0dAjy1BnxVILwO Tx5oYwIkVeeyTgQu39gYvkArbGT/IYEedjQR/owvoaHO3Yd/8BSOQV8zj2ecsImMh1d7P9wLs5/Q FmFt2F70YiRtQa00FGH714CJ/cVx28goXwyBlZ932ALodTZsN3/gFHSOrq5RZJZ+1lWsjL0ItJvP phBcQLTXQtr5DuPsjTq8MEfjiw3lnvpBdUsD1A6bujqbTzlBQX3+XInAwMZjk2KoMztCMSgdQXpD nDA5KWMQPqxSG7l5ZS+3SrLdjjFzKCIEbJAzwOB7hMuLw+a3wBz846nyMVS4Xu1+F1X5DfTPDINV Cw/ATyokbhwcgd9TXNYROJx2Bfepqyoetu3+p5o9EMJMGNdew36pdnxsa4PD6QeVmE849so2neDC PCEhIYZmzlyKbIqt6KabLgy53rfv+ZHs5errYCDhWX3gef3vMKb+/ZO+gc0Hka0tT4Cw/ingdKx6 ld0GgR7kbKBgOv3xtOfLUtT3uluC5nUgk8JQPYXCgjxgosjABDhrnrsfUmksQkbUw0ZEWQZzUXCq HqxfW6inwgsqLDCB2suOWKczfyokk3MNsvV5TVSfZwlK8ZTOb5zYZWVu7vafBJPjYqPBvLRL55FQ u5rAnxwfbVh79W7k+1mC8Y7E77wfvWAmO0k0VjoJl5ZKEwWhoDUCot5uEKSbeOtClbcHMTJS+/Zt gfnthdTGQ6swxDA7ZE2HgsOd/7Z+ZzTabnST/cL27b+BjSkUmffPN9/xtwAV3A/jXx1/9sCYrY9c Kcam3SU1TLhFqS/8+kkUXSbH4HgPEKHRRD+s+Iq8h49Sm7Y+rc6mTX/Rsm+XUo+7xvjU1RaV+mxq TrZ1BmGLqZTupxzlc3tBRonH9RxsPJWcLiMdMU7n2xFYFIRHmqOrZQR6Ad/3DB7+WFi7RqBdMJ6n MKpxSD7VnX9DqP+h+OeIP9pz1d0LQibuO4clLdDyASDEj1YixAJSgCBQa7hGYOOcIpLUm9X6QMVl 9E1LCxe9wMe4MCH0Ug3aTSwHV+AtMocLKyPa3E+AWdbhR4AILjMAGkDejJCit+GPoWmuKDXyd0g7 d+LstJpxHVC/dWnV3DoOt4yvOD9QaHeAsjIooLpnqEs+x8SfKl8U5N95Dbaqvnxwh/T1DJ4r0jSE FlaBIdJBP0ibP+H82RBjfBBMfj3sXRlVjKFGWD7keUhCPhEVpVpHX9VlHYta+0KYD6vUdu06RHfc roOcygsH/6wYYZpfEHYiTX8mk+bP+z6kfsCg+k8ll4MHC0PsQNU9nNP9Gmw+LNnMQIDQdoKiOors R34PQJqhxkJ02uzWsbEJQHYphqLiotW45jvNiPJFeE98wUAHtPo9M3NlG6s1GdZryWiQ1d9uGpDk qyew17VcHsNJUaWpYASz7HbL/tTUXnz/zei/G+w3TTwe906kUYCPQiH16pXAd98CBtHDIMlNPV7P doznr5QUtnEnAfSQ0zTeaumFrAFqUVHBSoyr0gnWH7vuDrTxLGxISPsNfElJAU7QPlSc02nONdio M/IWHYulJXj6AiPhe6yifH3g+aZ37OjNXLP3unhBuRih2bVmzXahv7Dpi07ZlmAINjp/Hkxoxncx Jff1EWPvHmVskFAmqkIccqJwRE/mtXosN92VBTpQYNWNCKzrdTooDmkyXKoi7DI46H1tp2eZu2h2 oep8BYwt+0RMCgRpLpBMiiQzilCAhC3Nhn3lSkgxbysFhr84jQAb0pMbmRuKRvEyHEYeBrVrAN+V XiDG2VCfQZKRn2OYMSSgRohcDTB4FQVkgv1vmCYhUnSjVs2in1+1avzTAQdXJGnrielfgrsLQRBb MnMMbgmSxPKAjQI5C3VkZnBhCUwwST18i6nv8yvCjQkSTTQkmn6BsYCZNYT66c6CYvucggJyJSeb E0Wv4T8GgwTNAwi3Sh+0yisNiUbNJ3bVaxsAOxQcZzjQptAMRPsGBikEj4klNkDNpxhkcYyeXkIQ xqHeLsCP54Dw67BmHo8Yq6eo8EkRIp3LkSIgpXBg4JACZtYNEjGHvgicyNOgtlpfUGBHXYRxinfU U1T5Ekz/cfR5FrbXTuRlehLPuUofQV5n7IGLwfxmwfJxHlSxM2bPnNLR6PJMDvM8mdnJLA9gu8bC pTeE+WGvyJD2EBYJJ1AMAmubPCdjykuC5JkLtEUB7gVuQTZh5zdE1L4bMcZHXYp6VwjzYRUAgwV+ /72iywCwlMjVUzE7KaPfPHhpKtc/Ea8Ix8owV0a7nZim/ytbAVFnPxm/r0yIiQSh7XXfGn+U32NG 9pSUxBCkU2rqRUzQKxkQ0XZI3C+/j0+Inw/qsFqP/yoV9MMnwIqnQIyrFQdR9L981TMBtMFj8I/j WN2BAxP4hQSz0xmdXlJSWpWj2HBfCKLNz8z8czz1gIOqNhOYEBPlp8CE3vzWWnDvpYa4e4YohroD PC5heH/WQB1Tu1zW52riP9p/SFjmOUIZnkPurzX7rCI3mE4EPjy13dBQic0DsfsZuPr/gKT1h3ID YXCEwWKsxwNCWdA6ycpRijkqMLxihVn5xSXP6FGfMyZPgC5xEEbuZMWUxyQvw2+/dDvX/kDHjunl J2S0nSga5LfQRg+cwPV9hrA1rOkdtX2ztfnW9ZPHIxfnc/j5PFBf9ikTgQf+YlbG5E2aW0kDEdah wTqUeuak9wBMuQFAg5BwN2CYE0Sz4RIonpt6FS0AJbYhIdynuPbT4OGPcmw4gtR2jxwn3A51dqfA WHBCR1o2mphgsw5KiEHuEK+WBNEiDmP8EE6nH4BwhwTUnZ0x9Q5Rsg7DlLvDRKfPh7PR4Z8352ZO GQrH0rlgQp8EnoNkLh0H1dbFOGghY6meXmQqTvx3wB4zkLziQEOcdAOYHMbjawtrECWZ5CVzZkz+ zSvXT0tNTXXqthuvPFWT5C64XsQ8EePkyp1Er/Yloohjf3k0tyqzqpHDC2W7PcpzR4rLPuNnVdOe wB7YBsZxPiSzUbj3LqjhHsLzfAhrtxpshtNPALBE9SRN7oh/ka6YGN6+EpS5vG3k8Ult29x2G1TG PeCe5lsXH9DqASAcB2OBWFJlDoy8cxrGqVnB2PNJVX6tpHZjBsQQ50gKq98Y/RZp/UjarLHO6aR1 OxNYtMbH+f+hApgQv5TjmAl9J9G9s6c+fs+dZQfq33LrIKhldDOcfmb//rtl9PbrU1zLi/7OLJFU ZjrVBgr9p2vnj5k2Gif6p9wOa0dRVHG6FpugXVaDHgKp20gW+x/BMdCMbuVlp8UyGdAQH4TY7DCT haRgxsM/A1p7CD4k9+IEWYqz7zG1DXBtsFVbcL1QLjGnoS3ki/C1ZUZ4Hei0zDosN6jk7Cx7HWF0 2GUgpJS6PVMQzG0ySQVOQIHL9fBwakRTjnJbQalL+Rgx37KoGPbN4ALwLY8FGUNFHM+d/pw4YZdV laQlRnJ/55T0+RzT+ccTiCqCmUqWELUhSzgg7BcgQkeUfvb3zTuqTa7zyK5G5g+cFnUOxhPKIOId ZrOLDNt25erSkSw79ysOcxrEaEcg+kNgcAhFhDQrug0XIHdLWSDpXW33hF9t+C7ue5eDwELt3h1A FOwDioFMjueiZYOVTAeSb6NisG+v5BcmGj6TyPGlh23HBRVUh/EkOQBo4jHhOfGaqVyH/8NpOiIC HNR2Qielfk0mr5MyiDOdnFmByFcATIjRhs+AKL319crhd18x7Y27777nocYJdesKb7851bl8ybcf FLvoVRCEKsMNRd5b5DX9qqCwkm3FVvzZNYN/Dmur8UNrK6mQ/DcGkFVVq+uCevDbiCqd5KthFiEe +9UxFXRTSU0cbuX8sOOiKla1MNzvfqfZ4PXR5w34NUf8CFcqMjBWk4f3wYn88UZc0x99vMZIGcEN crLBiDuoUPH0Yz66shx/JxNvcIbRHe/+OnNfmBUAUeKT/XNgQlNXrBgyAtrlhiVOehu/nzRCc+bB nFmBU70C/weWA4n1JW4j1QAAAABJRU5ErkJggg== --_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_ Content-Type: image/png; name="image004.png" Content-Description: image004.png Content-Disposition: inline; filename="image004.png"; size=8943; creation-date="Mon, 21 Oct 2024 11:45:16 GMT"; modification-date="Mon, 21 Oct 2024 11:45:16 GMT" Content-ID: <image004.png@xxxxxxxx> Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAAKcAAAA8CAYAAAADt6psAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAO xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAACJvSURBVHhe 7V0JfFRFnq6q91736ytJEwJpTokMmhAVBcYBTGIQ8Y6zIgaMI4NyBAQno44r7gqi6zDjNdGw0iCO MsJoBFxFUEQOIRwq4DoMh6KLiEACIXQn3el+3e+o/V7nmHAnIWjgl/r9It396n5f/et/fFWK06dP J22pbQZa4wyIrbFTbX1q3TMwddo0kfTqJTyVlxc5lz1tA+e5nN0LpO6xK+ZexTSWaWOkW7XOXaX9 umZamWIb+8FrRygj6+2MajonXxJR2FI0dNTXLTXsNnC21ExeYPWMXTO3t1UguapOfy1I9DKnTIlI KbFyThSDEwPjdVLS1UrplQy/q/gtqOvqhE9f24Tv77LKqreLcgoOnc20tIHzbGbvAiw7umRuD7dd elS3C791ilQ2gahhnJxRYlBCTCDaCT40SJCayECJRSeShTJIVZIZtMVPmbT5r3P8StWz8zMKgs2Z qjZwNmfWLtAyE7b9dazdzZ60C7yTX+UkInJiARhDUcMf5WSbodOPCCcVxw+fUv4LWaIDoyL/pcPK pKDGCQRsx3Yie0J2xN16/1dzH3utz5gVTZ22NnA2dcYuwPwjNi2wduwYfsbmog9HISmrqUEcdkoU jW/F11mipC0v6pl/4ExDn/Dd3J6Vhn43k/nYeAvr4o9qxC7QK50WsnTCd3Mem9Vz3ItnqqPh8zZw NmW2LsC8kw8UungX+3vxsjDYpxjELTNTUv4Q0MgzieEf//pU+nS9scOe1XPMd8j71NgD3plEo5NE G3+MisRGVC4lWYUXJu+f3aOoy/jJja2vDZyNnakLNB+XbK+1swOYIZ24ExgJq8ZblUR/7NXu+fua O+RXO+cfrQXph6IkvBxvpwN8YbN+cVL+Ia/P2zF/amPqbgNnY2bpAs0zwT/z4fg4YXiVFiHuREoC Ie3Vv7SbOK6lhguQbrknVHhTB9261N2OXBNQNBLvIlPQ7sZZCZOWn6mdNnCeaYYu0OeTjZlX2lz8 2SjRSZydkEqFz33JNbnFgFk3bfPtBZUA6C0CFZbaXTSDG0S0imT+o6HCtGftBYdPN71t4LxAwXe6 YU3dPk2oTE+cLdso02DxBKJ856YOFROI/9xMBgBaNdkoHGkIwg5RJPFxLproC9Cn0dr4NnCemzk/ b2sN9k283WVj/WH4EIuVcE0zxnzhn266M89ZKmIFBybTlyc7HPRvimoQu5OOfkgpfOlFvWDnqRpt k5zn7HW0bMVTH3o8RfMpRCQy8X0TOFS0sai6uS0wC+nOkgixc0YC5dqiIr1gU3Prakq5IvXBN3/P Xx7tcpFswogUZbSABMgpVYk2cDZldn/ivFOnThUNzbiXRXm+WhW+SlMUEg0Fic2pfV9wzd3zv62o /MuyXcuqmtotFq2eF/TZLrHJzCnZ1CdIZVNraH5+amVPaZKRhfgno3YyYrJQ+GSRv+DgyWpsA2fz 5/mclnz00V/341yZxUS5H6QMoQGEDhkjOkIvAmM941wJT/aQ5TvvdN85cdHGRSVN6cyzkSlHSYTk N6VMS+V1XlS+Pnio/R6bnfZ0CsSlBEkmdN23GwXOkmLvlZzSMYxyBtXg9ezc/C9aqmN19awt9mZT TqZmjsjPbkzd6NMwEA2SsnLzvcfnX1HsbQe16UOD0BHo697G1Nfa8zz6yK/utkj2eZTKIkEoUAtG iK7rNX+GTlQlQtRQJbG2S0x3xiUuuyHrnls/Xjt/XWsfl9m/p76Yrj186cvvCk76qPld142b8c+Z wbn+ndkzEdMfhsDoJsTyuUjJyrVveR/IGpn/ZosOnPMbINQ9ja3TIPwWgBnyg5wATomQVJARrmaC Zj4/79Mjk9uPtFrpfCoQahgBQrnjpGOiiHn7q/yEJSS4XK64ZVk3jL527cevbz0fJoA6ySfEQh6F o4BwG7186sBp9qc2Tg8d3/f6bR3SbKxA6QNEJWmZefm7zIz47REq8NdKlhS+n5FTENNtSpbMiyNh n5yRe6yPatq0aQyseqNkXqFD7OWLDBhQY/3hu0sUkyID8vKidY0DRf0MYizatGCBxeUqF9JzCsJ1 zzZtmiaaZVEfvbFXLwvKRfZrZeOv2B1jadWn7ZCYpHdpJTM8/YlAvnZvK/8ByyqWzDaJmzD0uXL7 tGnCQkIM9M3kzhCzn8NT3Pb0Uc1jypzLl18wvvRuq7PdfG4YVINjHFS10zZnArS6Okis7Ts6LQaf fcs9k7OXzS+CAtC6E7MYuxXKKiwiSaQGvTxInB3R4+9PCs6SefNkaiPTOKdTMvLGx4BpJkaUBYTI t5KwLJqgozZ5FqRUGmG2CkhZzsP8noxR+UdKimf+6vrenrnr3vEeZDZbB+1H2V2y3/ufcLgOYnbb FRoJdl1T/Mqz2bkTXzbBx4nHIhCWq4pVg6si9qT1C2eXjN1+cMwugFvdl/yn9T/OvmxIb083lQe2 AsD3d5c86youZaZfbOnahd6hIqEvQfIe1bZ7iCDAXOD6gfTp03Vs/4mM0bnUZutFFB7Y8M6cfxhp niuuJdo9KPvdmmJv1vXpnV6H/l+FNrlqqGOycye1CmlTcP+HI+3OKxaY23hE04hoOT0w696RCdBK /1ES5+nad1/F4efx+2l9h60Bts9uLNj3UFbRIdnBEjnlmii6Thq/j0lOTVYvB2I6QcC81bDzkI6l +H6t+dva4jmTBcIvwwq9rX9u/v71xd7vDZk/i0f3cSreLDLWW1e1l1SDlYgi/7MsSX8LKdp/gjw1 AyJrnETZCyXzvH8XxV4BKgavhkBfBQ1qim7QOKgP67yXetZmETKPEtYN890Xu/gEKhjbFTGQLmr0 chY1PouBj5JF2OvmV1coT1td8qVM4B+AEDvD7CO2ib9AKg9SOb8RAztCmDELbXcJHNQOlCz29oMg WkoJfdyIRpdRUfqTQMRCFMv4uV/YQ6Of+4Vg7fm6CUdF0SExm9YjE6C+isNEdsaPu+SWCR98s2zW 0qbV8NPn5hbsdzLQoXHQ6DXLyXoQAycj2jWmCsNlxX+qbmbljitaUlg41+WRuwIkWTAakZfKtfk9 qm6szBo58VXzO55/FI5ql0JXfSYG7Le8W6hADS6HJU3UOhNNNEAXnAiptdd8vq7Y+z+YYNM4mofu XgOn8BTUhd2YkDXFc24H7zqUCQm9rnjWdMpp2aC78ifWtlsKab0fVuyekuLCDozZ7gLlazAMoy9r 2p2zFgDtnFNQEF77jvd5RujqT7YfmNmrVy+pkxZ4jolkFaTpRT+nIQV3ES37btHfO7bj1mDIOA6Y nFCRETFOxgkIK1ZfmASr67WjY14Vdg/CYSwRJs1OuOXRy/3Lnj2Bd/nTQ/DULXIrliJ2B27FHmic BpzQ5qwGI9szoaOdqjoAbmy7TvaxAEoFgGkVGE2Ncn1aLD8ngyGhXqkri+cDIN3q+X8GM9w6Z99l QhKXFL8yGc9LZd1lSuWaRLGOCJwbNZU5DGbZUPdIIMbNAOxXtRkvRzur654BWGmQhh70aYNG5O4C 55VJO0s/r6+WGXfic+w7M4hTEEja4FTPIQa/DBYDVgv3qdjif86Xtn3DPfkpPZ39AoEAwWKpnQJO RBEWEXOZkiWiByOb9ZBC9JDqssv2K0zpqoaOByn4l6FqYk9M6iT5fC+jorxzMa5p02akQL5/X6fD N7cNbmUc8QTCVaKDcH/SgELddOiQnB2Ob2j9O97PAKQHNU1TJEmaqfJoJqTd55tw+k5L8xwSDaan wsBYl+ZxMIM1PNj0K2oIr9cDjNO+EM/+GhwL7QG2/aahY36HNLa5PXK2RlgOwDYIrwThV62+s9iG 3QBkWQzDOClgbgR19eKTlWMEGbn5+9YUz+yCUy66qXs2GIcT6sE/atolLt3ghVALPkQFXBaEINeC gaG5BSa962dJA1NDHki6GaGwRizY4mL9xITLdhsGiqVmVM9nouO5P7787D/NZ6mpqeyWngPvxbqa Y5NlKaxhaTVMpoFUWUls8Ql3CzdN/kj/qGh+Sw3MNFDtTucrFgspj0ZJjVBqZpo6dZrk/zbJopuS 08IFbPAnVbBrtnUL+YDo9M8lC+fekTF8zLswfuJhVLyJeepGbLbdYiCSCemmBWTtnwsWTJO69fbA eCJWyShd+Uqapx8qcWtG1CSawlKGcSUTF1DUQDKyQdh23qkZi3G9KNAem5d4k5ZuLT16fe9OGCg/ OnHHgTVz0jxmKGsfwPaDmXPTpk1QhXkWzPQnYiUJSNqE9sdEiX1T3LZ2su0JbGa10QVRAXrbQ8L3 Wbmz9B9D0jrfCeOtp8612KLBEZcylE3LyB3/x1g/F855QCPOLfh4WmZMM+e/UcWYrP4uzmWLj0RM cJqd5MThdhJd41Xc0Ib/8Y8vHHO0YdeuXQb+3ph8zV1+m2hbaLVYxJC57BokDl+opsKgstmLArdM /tS+rGh/ozpzmkwLZs5M6ZTkfjeoaEooqgw6W6kZ/NHTx5ZgXATbj1Ardi4JjtuTpBg4M4bl74Lb aLRE9Tdg6IwBMC/GIgxHuXbt4JxRfrzwzdDXvkuM2La0k2QfcK5hHg8OyJseWfvWK/GcsbLsvEnf xOqXw6l47mAsujEGsAULrETkNnyMHXKCFmVg5X8bDhnvw3JGMyQF/IPbTEudvO29CiAqr+unVv45 tntTpGjbzN90QXvSootLh17WuQTO26Ag0Mu5zt81n326s/SrIWmd3kTdq65L9WxjhMcZ3AhXKg4T gKZe/QBj0vINC2dvhHSSEGWRNaLdf7YvrrnlB/bgHmgzE4PVPpLgjk0McbZ3EjUc3RBUfPlFRRu3 n6ruovXvvDe23x33xSV1+FtVpN4LV5MdMxoNh4gUH5/gVCrfw4Lu19w+muWWvDlnPLOJLzNFPxBV 1RsBzEYz40/VbkQkl8iyAEjhzarG1pdejRneJ6R6PyeiL2+sXjBzrSTLHQi28R/U0p15edNj+wYk WSmk6UDZKV+ioDpxW/kunuaBdQ8eoCO63hWWYWjXJF+p8jWMpivqjJ09ZLfRSfTkBILRWAdgTed9 /8+DBz1pXS+yWUlCwBf8YeioWp+ppP1JCYr1fjp3ii/i+yZpoBh0xaTj4GGT9kAN6Nctxd0rEA77 yqtDflnGYUAk08eKf+4vWTzzGYpeR5l4O9xKDxGfqVaaY5i0fck8b58kJ+kKTw3/+J8HttWWOZt3 1+yyVZrwu25Ou0tVIfsBzLgkmShV1Z+GK7bdVjS/8xlPK7665d03fztoxHXupI6jTH21YTKt93AA +qfD2VfPvH1meN37k5ra0c1L5g6ojtBpkiTcYES0g7rKB02ZMiWmXp1tCkWMYRYcB2ECAfOebz5V fcfE1gfnTTIdoSc4Q2Mvd1SBqQfGrOBaZ3eMxp9T40DfW9eAaRk3/F4L8BqpGgNJzZaN9O3xncoA +Br+lm6eX0knx/yG+s1IwlcN8sWMuHVvz3oK23icrIjPhOzsagvn0yHen6rtTyx7Dix+/GP+/az+ o2Se3JHTyvGhsJ/EYW/o0N5Cwv6qT5WqvbcWzc9oNNtI4+KDR6t82Q5HfLdAVDl+Okk4WEUSE9wP WH+ZYfi/KHnwhAwn+aFixbyufqo/BtfgBElktCoCv4pB7s0vOLl0a0ydDfPcc09h14hhGXokYHIE OI51GotPVccFQ/yARbcULqV/V2Rjs0i4H9vb01l3jTed0q0uUUfod3bZlhBVj5Ck9hI56mefVtNd t82fP6LRwDQHNX/j/Kq7rrt3LIy85aIAb/FxyTSugv5KEifLk5MuS+spKIcfL/v2SMOFXV/C8ZW3 f5XKRsNSHG7RhPY47ks06E4Q6yPzxk1c1VKTWBEV701MoPYI9rPqKv51+b7yk/bHbO+CAWctQWUY 1I9OK/b4yn7OLft0LzK0PdWmX3Xw3kgkQpI72Yjfr62xBbvkzN84/Yxb+cnqfWfV31bcfN3o2fEd kvP9fj90zmNzweQnIbiY4qzSTVrQuK5je20lD5bvIqGKfxiB8ouFUFWCWnU4U2VGH4sIgJs6K25J MN0iBqcjc34zrtaQPXt4XndnYWeYag+WV+kErCQSMvjzX4AIcsFLzroBQv04+LOHfE7zHt0pFXfI VkdnhyNEqqoiq9VwKGfjrvQmSczjq6ey8+HKysrBDoezV2X4OAOpNnMoWE1Eg1tsVsvNgmG9WVMR QJYtcMwhJicxElVwXh2WKb6ZJeDS10dmDx/TYsA0K60KC39JaEc7hCOc+I7w3bvXlZ/W1XXBSM6z X9fnvoaETQlioDf/Q5zLTqoCFZ9WHE24raws/QQ2TlN7smxZUeiaG8ZPgFt7Fav35J9Yi2EYJByG 16YaXje4rwxFxR+sQ/h0TIaQFdGokErAVeC/6X9rywLzF9fPySUOefjBCg6yNCOV1eRpv7/G4D6j 5ETcu70mk9SDmuuzvLy8+kIICyZrmtwlOy8/5pJpqYTQ4vWMGT1gIM1pqTrr6tlQPGewzvWxlAml 2JzeRBv/29JtNKe+w93EKzvHJV5RfvRwCVS628oikbMGZl0/1n88e3WfG8fNSuiYPKGiAjbiGXgj Db2jZlYnLjgKBPk2VTXG9Rw6pj7K1pxxHl+mQ+br13Kr7fXDVWaAQSAHK/T3D66694wBgnrJacgs G8SOWSkpu5OPqdyQ7xckbvoDEbZquUSZcS0mqBtqbDFwLllSaHeHrUugN/XGzVOL4etMAX18IxbC yKyR495rud43ryZdE/5UVV29lRyovjnSOdIsHfN0LUcE6+NhfyDbGRd/6dFA46qXBMTVcJ1cZZUC 4gn9947Z+fV+5uaN8thSyQO97SKSa27AYDb4sEmlj5f6Itb7GsO5qgcn5TwLUaCKOh5mfROM3ATv 5I6GTa6Y501yyzahf+6oE/xem4u9XRRE3zJy8uvPhWzHUVTfVrfpiIdPXU4Yt7P04OY0z/O23qWx uDbY7O6hufk+GDNOWXY7UO8JV+fBSZns8/nC0CkrN6N9W9/SozFXU4MUH7b9GRKjL+HhPpkjCmIu q5LiWS9TRs1QagycZvTL5yaqOyzHgwJUVesiI5tRv+ILayYFsK7KWDRMdLd39/YdrmsLAYl2bvBI ze+oKwHl/ZuL0TcSjphjONULPfRVci+7i4QPlu67M7EnbRxymoiOXcuK/F1umDCOWm0rrTabRYme mjZg+kIdNgnbPPUrKn8wcNmkN1uarc1Ti9sdEt3LZZFdXFWN8AsjQbVav5t+kduokPG/dE5qpGEu Pjh+PiDdEhCFWVT3u/my7TZ2V5RFrOuKZ78raQcnIFIUBSUtFeSK/0b4pxOLEDsYRKtW7Sy7zwx1 le/wPGh10MdAtAjCOVE6JyVlCCfhkuAOTz78mOsRuVtdUjx7N4CbpjKlO9pYtHJn2f1m2ZIF3lQq 0b9jLhFKlc1o1Wcc6oey1X0tytbPPn7vBrL0OJ3Tm7Jya4AZSwp9CrSSNeZHxN8HiDb5LXeYhAHi BBAP+pisJInSN1B/CrNTDf2YhRDnk2b+LqLnQYz/vj173P3S00l4zeKZF4Nmt9G3w9On5JuZNkTS PgWjai/K9nZQKoFWOB7srWNoh/+aTy2h6qg4unN/ekoANxGLJ82+/+NZJQk3TB5GEuIWO9yJFkM5 lpxknkOSEf3gmkCiAWOhorOp/p73tdiFr3WdqujhdYsJ7T6yWcT+/kqTBiiQSGU0N/GrkZ82dpwx cJoSi8oyQpb0kKkL1hWGTpgEx/bFiGHUSKF3vHMA/0zwJTNFXYCU1jYoosfUT+aAhPEiyE/fYyne EZXlzhJj2weneZbh2SIEAv7N9GiA93m/3abtCGrhywTKeyHgfdRkpg9J86TBc3EEYnAELoACg5it wG+voewGIhEzxh9WVT4Qji8nOvwRgPUlJNYxYkEzyDVw6kYtOy8/5ixNrST8n5oxWTpYBNodt6c9 YHC2Iju34BBI01vQ9jo1Su4xD/xDJVi/tviVb7JyJwJkZoiRltcGGgjTLDcj+krcO0oPV6R1nmAR uQfjfgz8i60ijh2IlM+G7v5JQ+lbN5cd+xxp8bNYp3rJ/o+LlvJbHrrObtGfsFgsQ+1x8cQC6gHs cZw/qtARe1+jRfRZZfaMd2viay2bDkBiGo7OH1kl+kt/BdxG8TIJHY3MuGjbyA+b0lIMnDJEFhwQ iXgRGo5l/LqughpGkBFhUftHmPTOYMuPVnU+QmTgfSIgwWV5P4JQJsWe+BUl1+UUk1BVB0jCONwk EYUk5SZrqSQt2aPppDBr5JjYqoGUywTrvgy+yZ3kLe/NkDwKZNnIbGypCxYs+LYrC2CtEcE8bIcF c0mIhC8emlcT4kQkCIuBnkAUADCvQ50HlpPlxgAw9sAVmIIARzKkaWVYNz5BWyUC1wfB+bsta8SE GL0P9f8eQLes3FF6Tx2ZARL/TSzA0Xj8FvSiQWBq1x/6Z4YBHgH5wWQ+QWL2iOrkc4R9/27WBdXk DzZKckVRM8O69apBU15GS+aly15cj3d6A8u686pwdSBHpEaCGlG/xdGBT/dXd9xBxNhra/F0IHVF u6joWW6RWP8AgCkjBBYoj7x48Y6bH29qYzFwKrJ2CdRiMICMgsy78uv3AUiQPPi9cqRee7ToXk/v GJ2N8SLYXFaTiwf2hDWqGz8CUJZuNvl5CJUBCHB/pVIQ2ThVqUNZNSfNDYoc9cCLEQOmmUwyAnRc v/kZHWiP466Hs0ZNiL3QTmIgG4DhYljZCqDfDalZBlrbv5hDjPbBb1OOHyhOjAIbZH2d8x271zdY G0fR2Mvod7yJRUjFAViAH9WVxZY9FBJ9cUOWDTx9QfN6ylgeThFmJC/U95uRG6GX1R3ruBEW93t1 z2wKrvqzEXpiELGpr6Rl81evXWSGnL+MTXYsNcYUaV4ftqeWxFv09h9a7BKAqRKry0oCR5UXLv1m wCPNqbFG5zTEX4JTd0BUXcco6gDmlQDCFtNIWrvXmwqdEZQ1cjX+TFkXcrlD1T6fm3eRA48g3/XY NwZmgiSyGrqdRMWh4bBMJZG0ExADEDWlnnmCl9oXQKkhDQtkiMlur+s8JHEcXMCm4VO99m1vt4Zz aaofzCbH6cz411zXFmScHwHYhtTVkzE8P8ZWWve2t5BT4wvTKCOIycCKb6iEYRnQYyIUyDTcoMaM 2vNISdgp6t09kPDt4A+s4ReAw80NWu9eMyzs16gsImra3ua8iAuhDA91+G/mlq8OHo0QqzOeVFeE X0zf27dZwDTnIwZO3PWdCongqyMA100UpMa1iNvG9E0w5T/BhfXPIdbaHX7D9WsWeC+pCNtHZo0a VYQtrjv0zX0Zw8eD6e5NtDJxBnTAXab1urZ41u8AgMM4gRkjaJh8T1CEe0JliOmGkFyp+G+9NMO1 AXcCZDUKOkAlUuEPqLM7OJr7rk/v/Lh5MpGF2WcnvEyR/o0ZdHIJjnVk5I5733wOf+cISFBwQKKf HNzhwWEH0oVYog0l5wacQZo4b17hlFFYDBsWeqeYpORKW3QujKZ4arqLGRaL2e9i7ziM/xKcGN+G RdJZtNt6QBe/OPZs8cwUJkhP6obx6rXH6cIXAugaM4atyQeetEruvMARlVgcTlJ9tPrFPgcuebgx ZU+Vp0ZyUnIFQgQrj88EwDoMncUsdVM/xIt/GO6AxWDI75UkkqRzY7nJkL42zfOKyPm76xd6v0Bd PuiJcSCt745VDSo6SARb6oEv++Jw9MiC6NliqAPWriKJ44Zw7EWlHIYQElOiq0F2/gL1bRmclrwN qkA3qAQ+8zzR8X0FJ3ULCMQPUsbnYbHshnQ3eaMgG5MHYb0fhlXeG78dAh3QX1e2slR5vl0nW9bF Ntv/AnxBdLQjpN+ttQZQGHrrIgRNXoFXYiwWUzewnP7PPAmA06ZXoN5YJAXlcmCop+Ko82ftd5U1 Wa86m5fXWsp+nlCRbZHipilBHSTnOFLtC73yy8PdzgqY5thi4MRx3qErt+6pOiEmLdt+lb91T6Du rDAkUhFcRp8QjQ0JE+N9SMYfa4mc/1hRPKOfgybeAaLBxwPvHL/f9CfGwGmP/Mnnw+Zdm1bu9B0Z 0jcl3SQxm2fKfWnujFVf+47UE0KVyP3UXXNGvdYHmVkCowknQnZrBp0KoHc51UvJGI7+FRcWU0Me ZjC2P8Ir1g/NnRJz3Yg2BZ4E+Uq076sbZy2dbkisfhEHdkKhZWizXrVZvbP0rqFpnW811RifLfQJ 8dXuNES8HQvlkD8SucYtyzfBEKvIzJ3QYsyd1gK6xvRjU0KFlVDHq2pUMonkJHo0uu2IIjd7K2/Y ZgycGTmjKjNyTuyK+fuu436HhDK33BP8YrUgMN0/sWQ6y2vqjvEv61OtweI3f6g973O44aKoA0ds +7cpC6ESrNEM7X2RWW6EVLwL3Nw7TjdptZc9zDo+T20/QicjhWSMzD+pi6PWUDrB9wsd2XR9fZkz qsBk+bYoOaIxgGhNecKK+z+sLufF0VDEJPOr0RDNzdHpydknTex4qyV+rNyzJzr40s6vwYfwe4tF egy7dBmODI/KHjmxSb6yJs7HGbObftnr0jolwQA7JYP7jJVcIBlWWK1dsSc9omGJCtYEogerpgzV aYs59FstOGsl7Ht4j+8hdBmfDineSt4px80nw8SkPeckBNlKxtiobmiK5THJ4bTpOI6pKer+civz 4hbvFkutFpwNR9iKgGmeVTIJPTG15HxKS4yErqIuP8N1TZSsWsFQ6j+rU6croo6LYNj+VgNxmFns oN5VzxhFqs6Kl3r8fJ4X4DyfQNBq+xqy5LCEDr+JMeMrj3xDnGT62fQ1qDgmWexxdgNxX706sie5 e885xN+yEdo2cJ7NGzqPyqphEZwYRH3hCzQiYhzA2ey0xJps51FxpIrrb5gEqRk1Cgf4v2jxO+Xb wNnsV3SeFVREybyICZc1AExCj7PpvbrHcrcoOzsZICroYeWHoOEyKYktntrA2eJT2korjAjbECmL RYMFnWXO257qHJW+q8lG3SYcNWHJ4qMEUlMUbbjAITpnVErT62nMLLWBszGzdAHkCdrCnzuryB4m 2lIosybaWdA83fBSU4e2Pz7+AYk4fwGJiWtfQqqm1l0z1NSazpy/DZxnnqMLIseozmXKe+U9XgUh Z4aOK2xkzp5YvD15ybD0spNeonGyQS/5qks/qyS9SIJBIkHXVKNVLw67fH/sjqxzkdrAeS5mtZXW mRgIz1TU6FgmWFJgGCXKumXlik3JQ4cOKPu/M3V59aYug+wSfQOMMdzyIxBd8f2gK/pTZyp3Ns/b wHk2s3eelc3IKAuuKekwXpTETwwdx4MFKQUUwo1rSzr9sZIYf83JKDvhPvkVm3u4rUp4giDoT4sq 6Nu4wc4g0SNUiwzLyTjSYqdHTzaVbeA8zwB2tt3Nzji8smR1wh9kwfGcgfuVEFHowASxsL2m/n7j yoR1MJg+MIiO/8sPcVEu3Opglb+SLI5uqoKb63AxHK66rICueUv2YJwiPcepDZzneIJbY/UZg/3P b1iufi1xaZZFsHVRoYPitEB3Jlh/A77ub+r7bN7Wq6qEqrixDpe4atHwP/Vo9W+zcyK1hOtzO7o2 cJ7b+W21tQ+6sXrp5mK+xbDzyczQ7hOolMzw//kx70qqTzjeAJ4qMQxtr8Ei87XAvv/KyEs86UWv 52KgbeA8F7N6ntTZP9c8HlP5H5u9xvPEbb0afEzQEoX2ACMOwIrgnxsHcEpipfUAWZ9eYN5Sm/iT jqwNnD/pdLfOxvrnMxCy1eXonflXm057jdFPMpD/Bxh3vecFGzzCAAAAAElFTkSuQmCC --_007_5f0932ec68fc4bf3a39074090604cb37mrccbucamacuk_--