Re: [AUDITORY] Perceptual basis of evolving western musical styles (Robert O Gjerdingen )


Subject: Re: [AUDITORY] Perceptual basis of evolving western musical styles
From:    Robert O Gjerdingen  <r-gjerdingen@xxxxxxxx>
Date:    Thu, 6 Jun 2013 16:39:23 +0000
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

--_005_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_ Content-Type: multipart/alternative; boundary="_000_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_" --_000_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Pablo, Thanks for your paper on the "Perceptual basis of evolving western = musical styles." I was especially happy to see your engagement with the IR = theory of my own teacher, Eugene Narmour. I know it can be tiresome for people to complain about the corpus, = but after downloading the Peachnote corpus I did notice some very odd thing= s (admitting that I may have misread or misunderstood the Excel files for e= ach musical era). There appear to be 600+ composer names for "Romantic" and= just 4 for "Baroque." Of those four, three are German protestants, one is = French, and none are Italians, even though 17th and 18th-century musical st= yle was almost entirely determined by Italian composers (Bach, who accounts= for %53 of "Baroque" pieces in the corpus, assiduously copied Italian manu= scripts to learn their famous art, whereas the Italians did not even know h= e was alive). The "Classical" set, by contrast, has 15 names, almost half o= f which most musicians would put in the "Romantic" box: Schubert, Weber, R= ossini, Mendelssohn, Auber, etc. It may be worth pointing out that only "R= omantic" was a term known and used as a style designation by any of the com= posers from 1700-1900. The Romantic-Classical-Baroque terminology only beco= mes widely used in the 1920s. Interval counts are not a straightforward calculation in musical sc= ores because of the frequent streaming effects and the importance of discon= tiguous tones. Take, for instance, the following example by Bach from his f= irst suite for solo cello: Perceptually, there are a couple of large intervals at the very beginning, = and then one realizes that the "musical" intervals are within each of three= auditory streams. For ex., the B3 at the beginning connects to repetitions= of that tone and then ascends one step to C4. This is the small-interval p= henomenon that you mention as characteristic of this era, but would the Pea= chnote corpus have registered this emergent perceptual phenomenon? You also mention Gestalt pattern recognition. Take, for instance, the follo= wing excerpt from a Haydn string quartet: Listeners tend to hear the tonic in the melody of measure 1 "go" to the sec= ond scale degree of m. 2, and then to the 3rd scale degree of m. 3. In Ges= talt terms, the evident similarity of those three tones helps to group them= as a salient foreground against the background of more rapid tones. Note, = however, that there is no small interval connecting degree 2 to degree 3. T= he "step" that connects them is an emergent property of the figural complex= . I've gone on at length because, since corpus studies offer so much to compu= tational musicology and music theory, it is important that pioneering studi= es like yours get some feedback from the musicological and music-theoretic = communities. Best wishes, Bob Gjerdingen Northwestern Univ. --_000_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_ Content-Type: text/html; charset="iso-8859-1" Content-ID: <82C2F2CC7AC60A44B70EB0C888284CB9@xxxxxxxx> Content-Transfer-Encoding: quoted-printable <html> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Diso-8859-= 1"> </head> <body> <div class=3D"BodyFragment"><font size=3D"2"><span style=3D"font-size:10pt;= "> <div class=3D"PlainText">Pablo,<br> <br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Thanks for your paper on the &qu= ot;Perceptual basis of evolving western musical styles.&quot; I was especia= lly happy to see your engagement with the IR theory of my own teacher, Euge= ne Narmour.<br> <br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; I know it can be tiresome for pe= ople to complain about the corpus, but after downloading the Peachnote corp= us I did notice some very odd things (admitting that I may have misread or = misunderstood the Excel files for each musical era). There appear to be 600&#43; composer names for &quot;Romantic&quot; and just 4 for &quot;B= aroque.&quot; Of those four, three are German protestants, one is French, a= nd none are Italians, even though 17th and 18th-century musical style was a= lmost entirely determined by Italian composers (Bach, who accounts for %53 of &quot;Baroque&quot; pieces in the corpus, assiduously = copied Italian manuscripts to learn their famous art, whereas the Italians = did not even know he was alive). The &quot;Classical&quot; set, by contrast= , has 15 names, almost half of which most musicians would put in the &quot;Romantic&quot; box:&nbsp; Schubert, Weber, Rossini,= Mendelssohn, Auber, etc.&nbsp; It may be worth pointing out that only &quo= t;Romantic&quot; was a term known and used as a style designation by any of= the composers from 1700-1900. The Romantic-Classical-Baroque terminology only becomes widely used in the 1920s.<br> <br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Interval counts are not a straig= htforward calculation in musical scores because of the frequent streaming e= ffects and the importance of discontiguous tones. Take, for instance, the f= ollowing example by Bach from his first suite for solo cello:<br> <br> </div> </span></font></div> <div class=3D"BodyFragment"><font size=3D"2"><span style=3D"font-size:10pt;= "> <div class=3D"PlainText"><br> <br> Perceptually, there are a couple of large intervals at the very beginning, = and then one realizes that the &quot;musical&quot; intervals are within eac= h of three auditory streams. For ex., the B3 at the beginning connects to r= epetitions of that tone and then ascends one step to C4. This is the small-interval phenomenon that you mention as char= acteristic of this era, but would the Peachnote corpus have registered this= emergent perceptual phenomenon?<br> <br> You also mention Gestalt pattern recognition. Take, for instance, the follo= wing excerpt from a Haydn string quartet:<br> <br> </div> </span></font></div> <div class=3D"BodyFragment"><font size=3D"2"><span style=3D"font-size:10pt;= "> <div class=3D"PlainText"><br> Listeners tend to hear the tonic in the melody of measure 1 &quot;go&quot; = to the second scale degree of m. 2, and then to the 3rd scale degree of m. = 3.&nbsp; In Gestalt terms, the evident similarity of those three tones help= s to group them as a salient foreground against the background of more rapid tones. Note, however, that there is no small = interval connecting degree 2 to degree 3. The &quot;step&quot; that connect= s them is an emergent property of the figural complex.<br> <br> I've gone on at length because, since corpus studies offer so much to compu= tational musicology and music theory, it is important that pioneering studi= es like yours get some feedback from the musicological and music-theoretic = communities. <br> <br> Best wishes,<br> Bob Gjerdingen<br> Northwestern Univ.<br> <br> </div> </span></font></div> </body> </html> --_000_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_-- --_005_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_ Content-Type: application/pdf; name="Figure1.pdf" Content-Description: Figure1.pdf Content-Disposition: attachment; filename="Figure1.pdf"; size=18523; creation-date="Thu, 06 Jun 2013 16:39:23 GMT"; modification-date="Thu, 06 Jun 2013 16:39:23 GMT" Content-ID: <432384E4D828094EBF66632F5A9EE7C3@xxxxxxxx> Content-Transfer-Encoding: base64 JVBERi0xLjMKJcTl8uXrp/Og0MTGCjQgMCBvYmoKPDwgL0xlbmd0aCA1IDAgUiAvRmlsdGVyIC9G bGF0ZURlY29kZSA+PgpzdHJlYW0KeAHFWkuPHDUQvvevMO8EKcav8kNCHIgQ5ygrceG2IqCQRQo5 8Pf5Pnd72r0z3TOzO5nRSuzitKtc5ar66uGP6o36qAx+UnEqWqf+/UP9pv5Rov5TTr1XP/z6yao/ P6kfXuP367f1U6PevuYubaUU62xdfIX/jcZK9CpYq1MuRXmbdAkxDvcP9Rv+17qsPqi3I981ClGS Tj6kHQXVKAw9BZ7deqdc9kpc1gU8g5wqwrAhQoxGBwHpJsLuAAsRqlbuP+FQ/Pl0T3U5quvnO+WM jq5I/Rf+LVAwNKRzLlZ5k7XJktXdA/ZYZdXdO/WjMcb+NNy9V7/cKY8LaMrfOKj1Fir2WbmSdICu 54N6bxJOdlTZOxLeOC3JPiIBASqJLXV1JJKO5fEpGokto5lJWKezs53RUJAzSYx2N+lieFALEstL Cjhvu6QAe4ZFCczXZtw9T2J8f0kDL8n9pMZLGq95n4J4aMHRfPcp1Gv2pDDgmlfcbzKseq5qWDYl 7YzBPeekbYlBPSjnrPY+8+4DzMqH4UO/Vu0h4PK6vUUnyVz7S73r1732cKCO5uCK1cYXOmvHB3KZ 6sAdTdHFBn5Hmg7Ko4FPR1IhaEvr1BLdgNjSfwEGYfEBPRcfQJqEGNKLCjF1sjNditqt7UTt9i5E 7dZ3orb9vahtDYfYidrtXYjqccvBb4k6f7EiarBFF0mxFzVEr4sXrM232q3tRO32LkTt1neitv29 qG2tF7XbuxA1pKwj7tiViCgvKuCIaXGr8xdOe0BC/8V4reITrbUXVbLVgdLPks5LO0HnjQs55+Wd mPPm0XZhJPPS7j7njQsZhbJVZ9qXERIM79T8xZqM24DkRkwdWlg/B1MtVAWjiEAOgUcFW2MbwvuD iuqVBOCqVa+sj/DqgD+cqPuKsi3Y7UeUSjEjSFWK3iJMkkv2XLNBB/g9UMxoh5ijvEtaBHydKdAT sdnhJIJv7rFmqTuuRe0SaNnsdCqJlLy2wSCsPuaHfe++B/KdhnOP5Z9zCg/5s7II2K/AqJffOqoC KF7wyYjR94hSTD54Fxuw6kpGGAP8T9qeuVHbHto2Tdtgv6/tcT8yoEm3jKylaJ/KQNW6CLUxtYj4 1RRL3Qmcq9OrtxlLIDOpFfRMdSICS8nGwqF50I7ROUpdl5I6TdBpajrdSWkd/xx1GkoFqBN1Ghyw wCBg7iuV7KSxw10m8qCNL0y4ErD4sNNqW6tqFeQNABR4Z6h6LIwuWBHmo5aaRVo50g0IUCDDtQw8 Ba8AczZJBJT4T8CfRnvmd45yN8SF7UiBuLROQVY4izvaVQjVqcfE+kTtwjUhbZ4DxGyyYFO1Cy8g UI8BYk+7lQBSoU65XIoSZ90K8ldTXX9SLYwT4R5+MmtWIoKvAZ2mWMGFRGp/0uuwx+kctW7IiQBY 1QoXHdVK/VY5LY6IP4OCPctSrcyzNwIB8xxbcqnQF4PkWa1GZYesh9GkBdm1fBBETDAkUlFtSiiH XdYfWkK5kg7ykFvV2GZujkSuWGSO3kSECoTKVkvBea1vBcJh6GLKxnJwDz3WJAWzJD6AGQsBmF0r cIapwHmuqOrjsFp4OkgYXc27kSoYVIW9qIV5L2/rMqKSGcIMg7PRYoC6VxW15v4BbgYUsbDLhaix GeaFRAUzmzJdmIUVPOiqorKkyEx9kC3v3SrS0IveKos/j+B/m1sVmFKhog/4aq3FLmi/4AUUZMC/ hatG0d4amtQVLhXM0JkiTN3CVTNA0yEVvcalpqJzrEn9sUs9hilbqFhLYh/8s1CRRFCeoX13A1T0 qGLQLmOG//lRkczQUCAEH7uVJyYAW6joHar1glzloKuhQ3nJ+ElmOaA9dRNXG9s3KDavgYpkJoLU 8CaoWHtLzLyvED/Jy6VaQN0gfvqICs171rj7rnphUPQRCQ4apHuOiv58bf0+P31dn5t49EwyU7l2 p32tgfxr01Hb1OPUTJ3M0PkGAE+YOLScro0inixqHYdsj4g8Qr4I20Obd4q6Zn2+c7KkhBdThy5j 9F2X9DmYWHunAZ04NkmfWimSSG2b3QITg0fTr6CQqeAoj8onlP2XBAoy84LhCrJA7SSVs2uK4yPK 9UoxBFRN6HTA+j26Pv3MK2bUxaOkR3oDIQDWTYEIziE+mkVvwKGG2NLXuf5KZiZi9lJPHEtet+Jz c4gT/LUOC5zlbW2m6xdxWDJLCZ705NC0ahqniJrQhhXkttumMWy2jeo4xHN+PJnGojxHl27LNM5t upBZyPCgZhpnu9LxuLfhSpiUefYEDkYNNAIvKiqYYSTBsvEGUUPQzcfci82Bp0cN4egfzfVmGQuQ P2IZ5wYNtKXQ+5tM+doxQ2D6EU3PI3ZxkZBBXmjGsUc02sV6dDxu6+sZWh0dIuQ/C+NJBNncbepe EYexPmGEBfAexl/WWwWDl1zweKPdytmBaTWQ18ETc8z1wCQx6Dg2aJ/hrTHiMUIdeRzC+JYpHO6z nu2uYBZxO7tAvm7FnwHj66hcIm/r82M8mXlbw+BYUp4t6qppnIDxgtaTyYVBeMs0tjG+PgeInLhd AePJDC9v5lB+tisdj3vrrhQRVRMGHoejxoUxnswkEzhugfERFoF+B291yzS2p4YRs+SAOf7OND4n yJMZuotTLXNtlI8B47iA0epBQJlN4yIwT2Z1tnwU5cf4yAetD7unrR/qXwzZfAvC92ocbfLv6fFr S7zHpyJW/c3Brp/ec4IU1/ELZStMBDWjx+PL6DFSZ+vk7s7p6SHniy++fDk948SctNuI7nx9YLm1 cX5aOG90Bk8n6qxm4lij5ZLjV1/z5+Wh7VZYIMCmXcbMEm9P+wNzMPvim283toeEvkDEO63VY3/3 +4tp/yGxQ+D4ZUtf2N8O/uZ/ZfFRWQplbmRzdHJlYW0KZW5kb2JqCjUgMCBvYmoKMjE2NwplbmRv YmoKMiAwIG9iago8PCAvVHlwZSAvUGFnZSAvUGFyZW50IDMgMCBSIC9SZXNvdXJjZXMgNiAwIFIg L0NvbnRlbnRzIDQgMCBSIC9NZWRpYUJveCBbMCAwIDc5MiA2MTJdCi9Dcm9wQm94IFsxMjQuOTAz NyAyNjguNDE4NiA2NzEuMDgzMSAzNTEuNDc1MV0gL0JsZWVkQm94IFswIDAgNzkyIDYxMl0gL1Ry aW1Cb3gKWzAgMCA3OTIgNjEyXSAvQXJ0Qm94IFsxMzIgMjgyLjkzIDY2MSAzNDEuOTI5XSA+Pgpl bmRvYmoKNiAwIG9iago8PCAvUHJvY1NldCBbIC9QREYgL1RleHQgXSAvQ29sb3JTcGFjZSA8PCAv Q3MxIDcgMCBSID4+IC9FeHRHU3RhdGUgPDwgL0dzMwoxMSAwIFIgL0dzMiAxMiAwIFIgL0dzMSAx MyAwIFIgPj4gL0ZvbnQgPDwgL1RUMi4xIDEwIDAgUiAvRzEgOCAwIFIgPj4gPj4KZW5kb2JqCjEx IDAgb2JqCjw8IC9UeXBlIC9FeHRHU3RhdGUgL09QTSAxID4+CmVuZG9iagoxMiAwIG9iago8PCAv VHlwZSAvRXh0R1N0YXRlIC9TQSBmYWxzZSA+PgplbmRvYmoKMTMgMCBvYmoKPDwgL1R5cGUgL0V4 dEdTdGF0ZSAvU0EgdHJ1ZSA+PgplbmRvYmoKMTQgMCBvYmoKPDwgL0xlbmd0aCAxNSAwIFIgL04g MyAvQWx0ZXJuYXRlIC9EZXZpY2VSR0IgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngB nZZ3VFPZFofPvTe90BIiICX0GnoJINI7SBUEUYlJgFAChoQmdkQFRhQRKVZkVMABR4ciY0UUC4OC YtcJ8hBQxsFRREXl3YxrCe+tNfPemv3HWd/Z57fX2Wfvfde6AFD8ggTCdFgBgDShWBTu68FcEhPL xPcCGBABDlgBwOFmZgRH+EQC1Py9PZmZqEjGs/buLoBku9ssv1Amc9b/f5EiN0MkBgAKRdU2PH4m F+UClFOzxRky/wTK9JUpMoYxMhahCaKsIuPEr2z2p+Yru8mYlybkoRpZzhm8NJ6Mu1DemiXho4wE oVyYJeBno3wHZb1USZoA5fco09P4nEwAMBSZX8znJqFsiTJFFBnuifICAAiUxDm8cg6L+TlongB4 pmfkigSJSWKmEdeYaeXoyGb68bNT+WIxK5TDTeGIeEzP9LQMjjAXgK9vlkUBJVltmWiR7a0c7e1Z 1uZo+b/Z3x5+U/09yHr7VfEm7M+eQYyeWd9s7KwvvRYA9iRamx2zvpVVALRtBkDl4axP7yAA8gUA tN6c8x6GbF6SxOIMJwuL7OxscwGfay4r6Df7n4Jvyr+GOfeZy+77VjumFz+BI0kVM2VF5aanpktE zMwMDpfPZP33EP/jwDlpzcnDLJyfwBfxhehVUeiUCYSJaLuFPIFYkC5kCoR/1eF/GDYnBxl+nWsU aHVfAH2FOVC4SQfIbz0AQyMDJG4/egJ961sQMQrIvrxorZGvc48yev7n+h8LXIpu4UxBIlPm9gyP ZHIloiwZo9+EbMECEpAHdKAKNIEuMAIsYA0cgDNwA94gAISASBADlgMuSAJpQASyQT7YAApBMdgB doNqcADUgXrQBE6CNnAGXARXwA1wCwyAR0AKhsFLMAHegWkIgvAQFaJBqpAWpA+ZQtYQG1oIeUNB UDgUA8VDiZAQkkD50CaoGCqDqqFDUD30I3Qaughdg/qgB9AgNAb9AX2EEZgC02EN2AC2gNmwOxwI R8LL4ER4FZwHF8Db4Uq4Fj4Ot8IX4RvwACyFX8KTCEDICAPRRlgIG/FEQpBYJAERIWuRIqQCqUWa kA6kG7mNSJFx5AMGh6FhmBgWxhnjh1mM4WJWYdZiSjDVmGOYVkwX5jZmEDOB+YKlYtWxplgnrD92 CTYRm40txFZgj2BbsJexA9hh7DscDsfAGeIccH64GFwybjWuBLcP14y7gOvDDeEm8Xi8Kt4U74IP wXPwYnwhvgp/HH8e348fxr8nkAlaBGuCDyGWICRsJFQQGgjnCP2EEcI0UYGoT3QihhB5xFxiKbGO 2EG8SRwmTpMUSYYkF1IkKZm0gVRJaiJdJj0mvSGTyTpkR3IYWUBeT64knyBfJQ+SP1CUKCYUT0oc RULZTjlKuUB5QHlDpVINqG7UWKqYup1aT71EfUp9L0eTM5fzl+PJrZOrkWuV65d7JU+U15d3l18u nydfIX9K/qb8uAJRwUDBU4GjsFahRuG0wj2FSUWaopViiGKaYolig+I1xVElvJKBkrcST6lA6bDS JaUhGkLTpXnSuLRNtDraZdowHUc3pPvTk+nF9B/ovfQJZSVlW+Uo5RzlGuWzylIGwjBg+DNSGaWM k4y7jI/zNOa5z+PP2zavaV7/vCmV+SpuKnyVIpVmlQGVj6pMVW/VFNWdqm2qT9QwaiZqYWrZavvV LquNz6fPd57PnV80/+T8h+qwuol6uPpq9cPqPeqTGpoavhoZGlUalzTGNRmabprJmuWa5zTHtGha C7UEWuVa57VeMJWZ7sxUZiWzizmhra7tpy3RPqTdqz2tY6izWGejTrPOE12SLls3Qbdct1N3Qk9L L1gvX69R76E+UZ+tn6S/R79bf8rA0CDaYItBm8GooYqhv2GeYaPhYyOqkavRKqNaozvGOGO2cYrx PuNbJrCJnUmSSY3JTVPY1N5UYLrPtM8Ma+ZoJjSrNbvHorDcWVmsRtagOcM8yHyjeZv5Kws9i1iL nRbdFl8s7SxTLessH1kpWQVYbbTqsPrD2sSaa11jfceGauNjs86m3ea1rakt33a/7X07ml2w3Ra7 TrvP9g72Ivsm+zEHPYd4h70O99h0dii7hH3VEevo4bjO8YzjByd7J7HTSaffnVnOKc4NzqMLDBfw F9QtGHLRceG4HHKRLmQujF94cKHUVduV41rr+sxN143ndsRtxN3YPdn9uPsrD0sPkUeLx5Snk+ca zwteiJevV5FXr7eS92Lvau+nPjo+iT6NPhO+dr6rfS/4Yf0C/Xb63fPX8Of61/tPBDgErAnoCqQE RgRWBz4LMgkSBXUEw8EBwbuCHy/SXyRc1BYCQvxDdoU8CTUMXRX6cxguLDSsJux5uFV4fnh3BC1i RURDxLtIj8jSyEeLjRZLFndGyUfFRdVHTUV7RZdFS5dYLFmz5EaMWowgpj0WHxsVeyR2cqn30t1L h+Ps4grj7i4zXJaz7NpyteWpy8+ukF/BWXEqHhsfHd8Q/4kTwqnlTK70X7l35QTXk7uH+5Lnxivn jfFd+GX8kQSXhLKE0USXxF2JY0muSRVJ4wJPQbXgdbJf8oHkqZSQlKMpM6nRqc1phLT4tNNCJWGK sCtdMz0nvS/DNKMwQ7rKadXuVROiQNGRTChzWWa7mI7+TPVIjCSbJYNZC7Nqst5nR2WfylHMEeb0 5JrkbssdyfPJ+341ZjV3dWe+dv6G/ME17msOrYXWrlzbuU53XcG64fW+649tIG1I2fDLRsuNZRvf bore1FGgUbC+YGiz7+bGQrlCUeG9Lc5bDmzFbBVs7d1ms61q25ciXtH1YsviiuJPJdyS699ZfVf5 3cz2hO29pfal+3fgdgh33N3puvNYmWJZXtnQruBdreXM8qLyt7tX7L5WYVtxYA9pj2SPtDKosr1K r2pH1afqpOqBGo+a5r3qe7ftndrH29e/321/0wGNA8UHPh4UHLx/yPdQa61BbcVh3OGsw8/rouq6 v2d/X39E7Ujxkc9HhUelx8KPddU71Nc3qDeUNsKNksax43HHb/3g9UN7E6vpUDOjufgEOCE58eLH +B/vngw82XmKfarpJ/2f9rbQWopaodbc1om2pDZpe0x73+mA050dzh0tP5v/fPSM9pmas8pnS8+R zhWcmzmfd37yQsaF8YuJF4c6V3Q+urTk0p2usK7ey4GXr17xuXKp2737/FWXq2euOV07fZ19ve2G /Y3WHruell/sfmnpte9tvelws/2W462OvgV95/pd+y/e9rp95Y7/nRsDiwb67i6+e/9e3D3pfd79 0QepD14/zHo4/Wj9Y+zjoicKTyqeqj+t/dX412apvfTsoNdgz7OIZ4+GuEMv/5X5r0/DBc+pzytG tEbqR61Hz4z5jN16sfTF8MuMl9Pjhb8p/rb3ldGrn353+71nYsnE8GvR65k/St6ovjn61vZt52To 5NN3ae+mp4req74/9oH9oftj9MeR6exP+E+Vn40/d3wJ/PJ4Jm1m5t/3hPP7CmVuZHN0cmVhbQpl bmRvYmoKMTUgMCBvYmoKMjYxMgplbmRvYmoKNyAwIG9iagpbIC9JQ0NCYXNlZCAxNCAwIFIgXQpl bmRvYmoKMyAwIG9iago8PCAvVHlwZSAvUGFnZXMgL01lZGlhQm94IFswIDAgNjEyIDc5Ml0gL0Nv dW50IDEgL0tpZHMgWyAyIDAgUiBdID4+CmVuZG9iagoxNiAwIG9iago8PCAvVHlwZSAvQ2F0YWxv ZyAvUGFnZXMgMyAwIFIgPj4KZW5kb2JqCjggMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUg L1R5cGUwIC9FbmNvZGluZyAvSWRlbnRpdHktSCAvRGVzY2VuZGFudEZvbnRzIFsxNyAwIFJdCi9C YXNlRm9udCAvR1pWQVlMK09wdXNTdGQgL1RvVW5pY29kZSAxOCAwIFIgPj4KZW5kb2JqCjE4IDAg b2JqCjw8IC9MZW5ndGggMTkgMCBSIC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AV2Q zWrEMAyE734KHbeHxbs9h0DZUsihPzTtA3jtSTA0slGcQ96+slu2UIEPHvkbjWwvw+PAsZB9k+RH FJoiB8GaNvGgK+bI5nxPIfrye2uaX1w2VuFxXwuWgadEXWeI7Lsia5GdDg8hXXFXtVcJkMgzHT4v Y1PGLecvLOBCJ9P3FDCp3bPLL24B2YYeh6D9WPajUn8vPvYM0kRKnH8i+RSwZuchjmeY7qTVd09a vQGHf+2q1PS3aX4T0UFtxZahekfG7RdyytWnnW9mimSzCmVuZHN0cmVhbQplbmRvYmoKMTkgMCBv YmoKMjA4CmVuZG9iagoxNyAwIG9iago8PCAvVHlwZSAvRm9udCAvU3VidHlwZSAvQ0lERm9udFR5 cGUyIC9CYXNlRm9udCAvR1pWQVlMK09wdXNTdGQgL0NJRFN5c3RlbUluZm8KPDwgL1JlZ2lzdHJ5 IChBZG9iZSkgL09yZGVyaW5nIChJZGVudGl0eSkgL1N1cHBsZW1lbnQgMCA+PiAvVyAyMCAwIFIg L0RXIDEwMDAKL0ZvbnREZXNjcmlwdG9yIDIxIDAgUiA+PgplbmRvYmoKMjAgMCBvYmoKWyAxIFsg NDM1IDc3NCAzMjUgNDIzIF0gXQplbmRvYmoKMjEgMCBvYmoKPDwgL1R5cGUgL0ZvbnREZXNjcmlw dG9yIC9Gb250TmFtZSAvR1pWQVlMK09wdXNTdGQgL0ZsYWdzIDMyIC9Gb250QkJveCBbMCAtNTc2 IDczMCAzNDRdCi9JdGFsaWNBbmdsZSAwIC9Bc2NlbnQgNzggL0Rlc2NlbnQgNDcgL0NhcEhlaWdo dCA2OSAvU3RlbVYgMCAvTGVhZGluZyAxIC9YSGVpZ2h0CjUyIC9BdmdXaWR0aCAyMTEgL0ZvbnRG aWxlMiAyMiAwIFIgPj4KZW5kb2JqCjIyIDAgb2JqCjw8IC9MZW5ndGggMjMgMCBSIC9MZW5ndGgx IDE2MzcgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBjVRdTFt1FD/n3n5AVodlbQGX sdsWyrLSQj9oKQyhBTohDhgwcEyd97Z3bUm5l7RAV1yEl7noMPNh8UGXhQem4oMxhqdtmizBB40+ GbPFzAcfZowaX4zzgdB47u1NrR8PnpvT/s7vnP/vf+7/4wICQA2sAwswPtXhF+Y/+IKYDfKXUtni hU8s73oJ/wLATKdFPpn8adAOwA4QF0oTYViFFMUrFLekF5Yu1r0PJorfptiSlRM8juM+xR9SbFrg Ly5CLcxRfJtiTuIXRMOVZp7ib0n/KjD4Eb4JesJ3mdep4lr5Hz8DP7ImYCjFUBJ06wDvTQAMgGbR mZEhirg91D3Yr4dW3QOWXqls7I9YIsSRI0DJyQJ+Dx4AvcHpcLlcXcFQKBS2NRgaLDabLeBXIqJd TgOZtcKxcP1yrxBvdQwJT7uOncLGY8Hmxo4WK2Lw3HI0uZnvixa2RJ94Nvbd52Ov3pqbfiPTg1h7 Mn64w15fb+847Hkm0IxDl7bF+Z0ro+6Rc/TSYNoT9feZGuiHZ+E5gEO2gI2mVyys/HSFlEba/mpE SVSogCNcbp3atlCN0YA2W4NaQUOM5qqgnhk4Oju/slqUeVfPmNeK7R2pnz9O7lw9faR7zM/PcohN 7oidC7VZ2DrsFVcHZjeSXUPrO4tFnQ0jHneEYSJuTwSr8N5bnWht6xmZTcgnnr/+SmEgdUO4LDEY zb8z15eZ9OCLU35Hv+8IorXpkD14YaITcfjS1sO9P34Qs/oWTzdityZcYqoiZX9hP8YAc49W6Cjt k9EcNpuNZqfZaA2rHiCCvIsS5Cjs7u4G58mC5b9rMRRi+GvpyygGSp867jhLN523HaWHGIiWvsIY ESgQga3qeXjM3EUTmGn1ta1X19uobPyj8VsbZxhmPTWx9doZtPdPlR73imvDp88z2JtcG26PeRrU M6Xo9G3u3Tlfd+J35TL929R9vkd1Bi1HI2ATeOVdFdPfVzT+ZnQL6Ii8DGDwgYmh+8QKWv4kfI01 eFwdoYezys0l++d4hbPhwQrvrtQgtejWeAaMENAwW8XrqrCebnSPVmOg+riGa8AKpzRcC0+AoOED 8CTIGjapmK6crpbmn4E16lbBSPw3GmbgIDzSMFvF64j/TeP10IioYUMVXwPHsUnja+EpHNTwAeDw BQ2bFDwoLxZzmVR6idvmoiuZJDctJtKSnJVTxXZuREp4OV+kO+zxd/p844vLeW5qKTkpppazfG5G zOUzssSFvBE1RZn/FBiVJX4pzUtcPCNJhULBm88IYjaznPcm5AUYpCVZhCLkIEMfzDQsAQfb5FFY ISZJaBpESFBGososeYqq24kfISYBXkI+iEA3hOnj5YdOinwwTprLkKfcFCkmYZI0UsRk6WjlKtly boZyOarNkLZEI0KkGSGN/9/BqDqSp5nSpK9oxElNoqegPl5VXaB5ssQrfXmpcxkW/gSGZyj7CmVu ZHN0cmVhbQplbmRvYmoKMjMgMCBvYmoKMTEwMAplbmRvYmoKMTAgMCBvYmoKPDwgL1R5cGUgL0Zv bnQgL1N1YnR5cGUgL1RydWVUeXBlIC9CYXNlRm9udCAvQUhESVNEK1BhbGF0aW5vTGlub3R5cGUt Um9tYW4KL0ZvbnREZXNjcmlwdG9yIDI0IDAgUiAvVG9Vbmljb2RlIDI1IDAgUiAvRmlyc3RDaGFy IDMzIC9MYXN0Q2hhciA0MCAvV2lkdGhzClsgNjExIDUwMCAyNTAgMjUwIDc2MyA1MDAgNzA5IDUw MCBdID4+CmVuZG9iagoyNSAwIG9iago8PCAvTGVuZ3RoIDI2IDAgUiAvRmlsdGVyIC9GbGF0ZURl Y29kZSA+PgpzdHJlYW0KeAFdkc1qwzAQhO96ij2mh2DZSZschCGkBHzoD3X7ALa0DoJaFrJy8Nt3 pKQp9DCHb1ezzK6KY/PcOBupeA+TbjnSYJ0JPE+XoJl6PlsnyoqM1fFGuabHzosC5naZI4+NGyZS ShAVH7DMMSy0Opip54dUewuGg3VnWn0d21xpL95/88gukhR1TYYHjHvp/Gs3MhXZum4M+jYua7j+ XnwungmJ4CivkfRkePad5tC5MwslZa1Op1qwM/9a+6uhH24vq7JWSVJuq1qoqgJCUm42CTdASMpK JtwCISAnfARC8O4SPgEhePOoHRBCN4/aAyF0tznYb4SUMd3yvru+hIC188HzRdKm1vH9T/zk02ZZ P01IhaQKZW5kc3RyZWFtCmVuZG9iagoyNiAwIG9iagoyNzUKZW5kb2JqCjI0IDAgb2JqCjw8IC9U eXBlIC9Gb250RGVzY3JpcHRvciAvRm9udE5hbWUgL0FIRElTRCtQYWxhdGlub0xpbm90eXBlLVJv bWFuIC9GbGFncyA0Ci9Gb250QkJveCBbLTE3MCAtMjkyIDE0MTkgMTA0OV0gL0l0YWxpY0FuZ2xl IDAgL0FzY2VudCAxMDUwIC9EZXNjZW50IC0yOTkKL0NhcEhlaWdodCA5MzMgL1N0ZW1WIDAgL1hI ZWlnaHQgNzAwIC9BdmdXaWR0aCA0NDUgL01heFdpZHRoIDEzOTcgL0ZvbnRGaWxlMgoyNyAwIFIg Pj4KZW5kb2JqCjI3IDAgb2JqCjw8IC9MZW5ndGggMjggMCBSIC9MZW5ndGgxIDExNzY0IC9GaWx0 ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AZV6eVyU19X/Pfd5hplhm2FgmIEBZoZhCyOyyjKi 8yAMgmhAJQZUBNyCorK4NJuBRHFBUzWLSWwTEY1pkqaMM2oxmza1Not9tWmaT5tNbRKTNLXavqm/ tmmY3/fOYGr6/t4/fsOcc+49dzv33O+5z70Ps653/TIWwfqZxPKWrG7vZsFPShxE1pIN62yhvOF3 jMl/Xt59x+pQ3vQ6Y2FZd6y6a3kon9LAmG5dx7L2paE8+xdkcQcUoTwVQaZ1rF53ZyiffE3kV3Ut GS9PKUc+bnX7nePjsw+Qt61pX70sVD/nNGRed++y8XJqYixmI4UK/5P3r37rd23/UrNTTFTQsqNM zw5DcshcdhtU9TEbMV8KlqsYe+IX0Q+36sr/prFogn29UDAL82Psde2Rl8YOffN8xAKNmKfoIfRB v5rl3/yAsYicsUNjhyIWBHsaLwwKrWJovHAx3pT0zm/B7rk33nLPvQmjvN3XlWwd5W2+VULU+LpS Iab7VkGQyrfGDiErt3Xarb9+G802fA9sdTfYqi4w6yrSdVHnmnhL/RoaWXNyDc9dM7Tm3BrJ3dnV 2dcpXe0MdHJrZ26nu7MVGpW7c1fnyc4LnXLnmr7exFH6g69DjHPJtwwicMp/+dZbyyCV6E+ReOzy M5f5Y58+8ykf5VXBirzSt9wG86Ypa1ekWi8POK2fgr4esFu/Wp5pXbc+zph0x0qw3BXuFdy2PG85 X74C2WUdcZaRjgsdPLfD3cF3dezvONkhuTuudgQ6JGVZSUkZW1a/rHXZ/mVDy1Qjy0i3jLqR5Ms6 BnoSE9bG312ZYL8LNMrX+6Via25FJl/HukCc5YK7x1NrWT1fC53gxKzgblArSEK9XrToDbbohb6X XQUFQDJP8Y8UW7sqCnk32wUaAZ0DyUwHTkzha1gDqA3UDZIZA9eDbKC8oEbHV2PY1ewUSGK7wb2g q8GcFdwNahU5vsov2a26Ch3vxGCdsMcK7gZ1ga6CZAzY4Lslu2yUL/TJGdYTgVN8gi/jlrJQwmQZ T2gNZRXh1EOLmJNZKZ/y2O3MGjhFpb7aGaIKTfLV1AYTeb6amvFEZeV4ory87ATV0HTf7darFWaa jHm20nR2DnQNJDEFHRLTg/eDvKBToGsgVeCa/5mFCwGTj/zPzF8g4OJ/5r6BkCx2QX7uP5xXAPmO //DcuUH94e71Qh493DCnjMHsX6DvIbqCfq+g3ytMond8G4sBxN/49iRB/NrXN9F6grz0gi/FqozS 877bFwQtf96PKQQVyrRxhctV1oUpPM/6QOdAF0AypvM8BqkHPw+6CLoGkjHsc4xgsndd0CQlZwSJ bm+/d7dX6h7pH9k9IrV6u7x93l1e+aL3mpdfHLk2wr0jZuvIgBmm7fe9WgHxZEjs870iAvSJn75S bX3l1Wqr8iLdyxroXkXPG05S3qvKq7z/5PmTF09KL9Oj9AirwFo94j+Xad1fEU3fZyOgkyCJdYH3 gXaJHALQcQzzUo71H7twXLIdcx/n3cdPHr94PHBcth3PO952fOiYrMCRO1g3aAh0HgTs0A7f5MlB z+zwTZtWNkq7lIjzJdbz50qsvzpbEozxs253cFHO6mOEVOLOxprL9GeVszwP7NzZwFnZ0F2hpxIs fQnbDZKYDTwPpIAaQG1Ucky1f9/IPj5KvX59LCDt4I0AcyMgfRU8EEyNgJ8EnQNdAMm8kfysGk5Y A+DOglwMWQ7ZRS5WBNntUxdh5TtpkS9RrPwiMZ2KamqhBpaI8mk0iU2ALCYlCPypVMimID8PMhmy EVKUeyDjIKvGZS1kMfJ1kCmQs6goaMdkjIvAIRflBmUBEC7y4wGFfoqYG/mqcVlIRf5mq6H7ZZ7D +kG7ec5R6drjtLsigk5jIU4D06eB6dNYkNNMRaf9fUlWVhHLXdgyXNgyXGjiwkoxXgZNGTRl0JTB NS5epkSlWL17Tu05v0d67FErgKU/ftBufWoP9lxKVibsMVi/eTTXWl9OtvIL5dxbfr6cl+sM1kce ZtaHHrZb90A+/Ciz7n00RewbFPBNcQexEPDNbQQWAr4BBBlfEYw13uHbUYjcHSGx3I8cHP6Fb+nS YJsvfAhy0csXvqamUMJfXy+C7wvfrFnjJVVV4yXAmijxA1uswkhfwBVfwAVfADv14G2gq6BrIMwd vA+0m75QwiW2jS5uu7aNX6xIp2HUGAaERsBPgs6BLoBEm2Ggbxh4HwYuh9F2mKnQ7zBGCrU4gBYH 0OIAttlW/6apcLuB/oxNoC3Izwd5Hvhu0BDIC5J5gQ9xLeZ5dnxvOesPTeasHyF4oWICnUUfbvA+ EA/yQDB1iraiZD/4CIgjhregdAtieAumvR98BMRh1haYJVLf6ugj+liJKLbqf0HeX9Du0yQCUXta qSg7PZBszXuRz8NjYJ4SxfM+Uz5r+Kzts+7PVK2I9wcwyAMY5IHgAA9ggAeO8dZDXYcQh0/78BzG RLjiS3KIZeFuPxInX+FumMnIx4in+jbmYc3tIWHzIzf0Cn0NV3wN8xS67l+/QSzkdV8DAMMtvoEM VNeFhCkkZN+mmVAaRe5lbuAxLAOBHxkqDA8JTUjE+DYBYuitb5r1BFe425dmbauwwqBuUD9IPJrd eAC6MbwOXJThUEYnYNIJxNEJgOgElj8PXAFxOuEbEI+Ia75NNRBfhsR7x/sKrc8OJIgNTtEtBArP L6Tf9RVYd24Xm7bDt30CRLZvuwXCGRKpx7cXWAdBo5Tl32EAXJxkwEAG+NcAw0bAr4E4TDAFPWiC YSbshSbUMsEcExB4CvwaiANmJqDTBHSaAC8TjBacKNaHGBYA0wmAicefDnuoDjDRoWcd6ilkvhF1 5htRZ/bj2ckq7GTGYGZ4w4yhzGhgxqC7wYdAOHyC60H1oAZQG0gFkIRqiyXV+RHQDRUxGOkaiMN+ HZ6OOlTSoduQVgXzmG89HokQB4uD5u4VeWH3Xt/4uWGvf/58gY69/lnBjWCvf0ZdKK8oZX0VybQX bnKDXwBdA0lMB14PagC1gUQg78XQe4Nu/RgP5o8Zx+N4WIwNeXBcDo+fHA6Oy2GYINZ2yUEkLhyk tuG2g93D3Qf7h/sPhg0d9B48dfD8QZkNDw17h08Nnx9W5f238t/cdiDvgHJAsg3lDSlDkv6A98Cp A1L3gf4Duw8MHZD1Q96hU0NS91D/0O6hoSH5nwM51k82iWPIZR+SozzPN5AIUatEQH4But4nSico g9tTrQ9iL90B2g5adf+99z94/777n7//pfvD7u8rsW4EKX0NDWXKRmBR6av0lHX19fXxc30X+q72 ST/Y+vxW3rn1nq07tp7YKvcN5Fm3opfNm0qsmwamWpWBjo4yZaBpAZjYcQemVZaNDJwcODdwYeDq gEo3YB3grQOBAb5/gPSjvNo3ya57mXvYJGZH0Ff7KiqC0V8tNmNllHuUjJkzy2JwgLaUGM3FRuMk o6HIqCs0RhYYtfnGsDyjlGtkE422F3kztohmXwxChtf5YuIgZvhjdNbdFan8VhxpbxXoAVdADaBu kDgmz0QQz0TZVfBAMCXyblAXaAQkw7AZPrM5aNgMX3x8MFF3Q1OnaKFSYhISytgrfCoejFMFKvhU f6ZTTGGyXxcj5BR/SkpQ+sTZhVf4VFmwcYpPZYAo96mE4ZP9EKhb7sdwQio7J04sU1Tx1rKMTF1W pi7bqZvg1KU6otMcuhRrtM2q0+ljIiOjoiO14RGRYWpNJLwQGSZlWm2MuoBoKdZ6PpYuyCTJqsjz Erml/dI5KSDJu3Wk05Fb16q7qpN0CdaE3AR3Qn1Ca0LY1YRAArdQcpRZnRillgusRr0pyiDHRcWP 0kJfgVU/SgsgYkdpPoQ8Ss1KXIHVMrnAqnMVWKWyAisrLbA2FB7hbJrPFEPbbN7U2YOOO73KnDuP hNu2jerZbXce4TTNKyXZ7eQ11LG6xmneWIKcO81b6KwblWxzvAXOOq+2YUHTEaLvN0Pr5dsQ4I1e edsohzBUzl/QNEoJonjAckRFKPTWtQ08+GCzM9m7tG5uk7c/udlbIBK7k5uZ8+bPuvVrxde5bp0T /KbPkawMjzfb0+6d4GmruknvdIaqrV27bu1a6L/TSNQjdLj+RoN169aF0jdXQ0vo0Xy8zInUjaRT mDGeRUuREuaNf8YTsHjtt0OEioQpwXqojbk4RSMxgBgrWDU4mhg4qPyP1s5xp9ywSLR1rl+3vrJJ PK+K/K1twCAV+WrrBeKhsCQHFf7JU8pyT+BQScEOm2/Y+T8kRhfmhPqb6e/uEc1n+qtrQrIuuAHP FA8LofeVuYLjzPTjhqfDjjwTZ9eZeILMxF4sOGFHDulyId0g8WydCVsRqKCroABINe5J2NN8kxdD voCXhC/GbYVjxLIFi8ZVN7WA174zp9B01uKDPoIedZLT6TV7SwHc0LKJztHhv7FwIylsEo4Owuem Xo9oBdDz50yr85bPqfPqGhZ4Ex3IvI5MMTKRjmlOvIJRvSHew6g2sjS2WLUE1wUmPcms4EeZGfw5 ZmN3MRb4IPAC+EVRN/AhY9+8zsJE+v//o3pTtVF6mpdK62+0Fe+SQu+Tbmj+F5nFnmGvgsSnks0B ffdzlFWx8MDMwMuB6+yfLA/psMD5wHXeyH03V5SPSw+xqYHX2G/Y8+hvAd5/LYf0omcnG2IN7Mfs GPsJe4o9jVY5zIc3YZ1sLpuB8e5m7awfV6Qh1sc6MNr9bD77Jf5+hD8FtRVWRtfZozeNdpVdZZ+y 4zyWNbJXA9NuKmFsHU5GP2IX2QG2j63A8WU5MzI9u5NtQ+8reAtfxQrYEtYSbLMm1JL/jF1gP5K8 bCadk3rGR1KzQXjjKLuEvzWwfBcuj9MxXit7DNfAe9hqdgR/c1gh5rKFfZ+uYoZPYg7VbAdrwzzr oC1lfw1EYzYeXNUbaTE80crWs1p6H20+og/YWxTDNrEe+iu9QcfYcZbOBtjP6C/odTOugifZYdaE ceex77F32PfZE+j9x+ihnifzJu7h5Wi7Dn3exhazbFwvknie3C6vhT/z0DqP1eCauxd/vew99jbw tootJw6fONj3AttZauAj2o2yxZjJfDaRJQYuM3Pg88A98FUZWnYEe5+GsmrmYYvh63nsIfTRxe7j 2apu9pD0IeY/OGbEKm2EVTPhlTlsDCu+G76+D5b9kA/zQ/D2HjyVC/hDLBM5jnpz2Up4rYpNxmm+ gc2jk7ihnmC3sjNoOR/t7BhBZnN4B2zohE8HMMNKtpr/ln3O1rLtzIUelrNm1a9YL9lpL80FLivw zvY+XKdzgqu+Dz5eQq+RBmvXhxeteXQK85/FbuMpPJstZXV4NfAkbNgMFB3Dmh6Fv0rYMRpjfwzE sx8wd0BmLwU8bCdWcCIbpjVsGh2TetnrwPXT9AIsP87/i7bixcAaGsW61TI7MPdzrNdjZMGcTmC2 D/Ov4cURWDobvR9kyzC7ncDWPLaB+YGfUWBkC6Lhh/Dps8hvZotQYzmNkITZvg5EfsYfgM3l9Bhw V0VTMOoMthUznYb2B9EzagMRq1g9PFQB3X+FVYXFht0f2EH7aZvqL4FnWWNALw1Jr7HFgafYo/IO +aEwteoN+WTgT8BGLfD8FNBQB3RXsz55lfxYoFv1MN41N8CeOwJPsHmB53ANcsLSEdjzFmuV/6Z6 Wy4N/Jw00tXAtjAuO8Mk1cMB7GtKXuOM2prp1ZNdZcWFBfl5uRNzJjizb8nMSLfbrCnJSZbEBHO8 MS7WEKOLjoqM0Eh8AnnNlU23eqV0/V/tXmaYZbF5vHI6vo4Z7Uu9WXOa7A7925Zvy5ubcyZ4Eyub 7HaLl6fjW4sifGe025Z69Q3QoyCoqfWyhiZBo4E/lEKpL7U3W7xsTpM3BdnRwDXk8ckJWeBZutLh WbrCm1C5tK3NW+2ocuht3upruTDJYrfbBm2Dc5piCpEULRgqdB+h6qkUTPBqjwvHJk0UTDPgxJPu EbTSq+xoQ8JRBZtQEvvvElwrdt5cxNAsVImhWjBlW+FV2r1sh+3IhFODO3H4WtzmjFzqWNq+sMkr tcOGI0xK93Q0epPqGuZDhTFBbR024bmqIBN+sHk6bIPIi7pt4I4q4b/v6Jd2LGsTHqc2RxXKtJVN W+2nLDipNW31eGOc3uloPv3uTyzSoMe8wiayg4Nbbd6h2U03l9pFHbjTnDPBNuhxYDR05lk5bdy9 YgA5vXap8HG7zdu/eCU8g2/7Tng86G/7oN5bfd0OD8PHN1qNu3Jp20oxg5VoKUPYBncsQ8JRtTM4 I6y4zbOySpBoCPyw2wCq+U2eDocHbtwRGhB+QEJK/8+2drs3wSkaDg56hH3tS2F0yF4UCHSOZ4Aq i5NgdKVXaQwK1hh0PUZU2quax1XjFVAiw/1epa2quVlMCiPUzWmqRLHH0V4lkHSzpm1cgyqeG4XC WkctevDaltgEch1oXCrYslI2uKQ06Ct7M+VMqGv4tlW1o7ptcLDaYasebBtsHw30L3bY9I7BI3V1 g92eNnSDoCDoX9xh8VbvbPbq2zrIhUUT+KlGcPD0altHOzL4uh12DBIDQ0PFaPr/Lh7U/wk+i0RY WmzVwlIRXiLkRLRgzNuagOAl6NGzNMiAbBzwuUVgXGpO96yYO26/xY4RguEjgn/2uBad2O0C/TtG FbYYGW//7KZQ3sYWW3xMyXXC/W2i5NSNEuNtoqT/Rsm3zdscWApxv/jfIYnw/xaOgzEOg60sN2hC aBm9sZVNkoVDI1LcIiFVN9dRN3t+k1iSf+dsnsFvlzVU7uWVoTrfqSe039b9Tsm3WozQ+O86/2O8 xhsjw3v41i71nmrEGnxZ6jWOmySudUcctG32EYW2zZ3fdELPmG1bY5OPE69sm9Z8JA1lTSds2MOD Wv6tVtSxiRwel0Cnj2uCRZYTCmP9wbpyUBHML8F9LqgLVYKO2BLc/II6fbCe2HPlWuaWP2ZJqh+z 6WEWpuAdTSooHRSJN0zbQOKDR3ZQRuI8nIiUHUdZwssmDVPjciHjFBE6J8/mU6W18m9VL4a9pR5Q v6h+EbXcrFKOkEtwSmCUWTypyJEaZoyLLyxAMuPmdGZJvMEYxxypbFIRnll4OoU5UjNupOnjRHdd iXtx3aK7fth19wsfHXrh0k8PZv70o7GLb/967P98/ORDv/Hf17t1VVPFLHrfGZ8zq3Fa5R39Leuf OnrfMx8EXjz8+/TarLF//PT3Y2+R/Ob+z08+vsm3s+u2e291tcH+pMDf5XtVW3FCm8rqJFLuq4yj +aX7SrlsItl82syzIyLI/XwEbQmnDANVG7YYLhuk+MrqysuVUnwVfTKJ5Elpk4omSZHFk85M4mFF h4uOF50pkkvNicnFpWZ9XLFBSXW4DNkJCa5YsznRZTCbzC5DVmKSq7ma9lVTeHVidXb1vurnqlVR lfgvmvJsZHRxRAklp8URvmE6SgmfTnMTp++bzhP05KlcVrm+UkqvJE8CqczLzFxlNprTzX8zy9tj n4jl2yOeiOAbTBRvmmdabtpgkotiq2KPxp6OfSdWNdvQbuA/M/zacMkgHTV8ZeDhhmwDjwqPobkv xrwZ816M9Asd/Tb602guR1JVZGPk0kipuJS2h9P2UpIj4iKORpyOkMPL9HQ8/Ew4Dx8NnFei07Nq umdRwyzSzaLYNPGyLqFrfU2a/ZLVXTGjJr+w3MUOS5dUen1hjQs7khKfnuGKdJErK7OgxrVQe0lV oYemYjTwOyUSKl5BFQstl6yFwhUTMye6wgpJKVzIamhpWw2xmms1nNXYavJq2mrk8Joaq0qyGsrd dfrPiql4NHDRn5jsgrzmNycI+Xd/nAmSr1CSdVF46RlF021ReVFciaIoj+c2D5/uoXgPecZbQgZb Qv5dyURTz0Zm9BrPGyW9Mc/YZuw3ykZuMxhdFzjlIWj/OzUrv060Tc90CamYc/NcdXqMXYfld9X1 6bJGsnhrFmXltvR8I66u5fqzn/T0Ot9p6bmCXG9P7zstvYtaFrWIXEtBTGEhc7sNZbmLWnqgvrKo xan/6kqLU3BnizPGUDYl16y/fiWmMPSnv/4rZ34eLWpp6XG29Cxq6e3tYT29Lb3oELqWHnx7ekBC BFXgTtG3MAWfFlRDUQ/sCBW3xGZOKkGAlogoFGGoTpGMcdGSIzUTAatGYXGxYVJMZtFEKZPGA1kU hBljRU7EtT1VHZOm0Tzf4vjrrY6tT7UNHV21c/nkrM7H928w3zkQUbVEo3EZIkhW65MdZClwnxue OtDbMl3LZ83eNTzr4Nhfctwqj7pArdHw4u23d716S3hG/X1zK7ZsXpStkjQae3hiHN3aRF0fz2jJ 0kfI3/xDfuT+uhWluvkX/7XWsPBg2+4X5DHxP+DpgfdVa1XDzEF/OYH/Xl9UtGazK9kWF+dSiZWK NsS6ovSGOFekGUwjVOEoM6XQJ8mULNZUH1sjpLJIG11zPIkKkyqT5iatTdqUpHovgSISLAmTExYk yFqjLTqmRtZUaR7RSKc11Kj5SsMTI7MjXZHSZQ09q6E6NU1W0QLVlyqer/qZisuqKtUh1VcqmcTI qWKInQaz67pMrkjiycPJvDiBtpj3mnmatkhbpV2nlTcQFWiIayi8Id2bfi1dInbOQWcc5NhkpXBr opXfYn3Dyq36RJvLqolPcFkfkmLjoqNMOoPb0GqQog0qk9HE06NMyaYckzQlwkRfmr42cdMeUziF y3Gxh/TR5LAyugDHiRCeHZ1YnIfLfjcuNeex2eMdSR6TtEyy0FzQSgtlW/5o4WWWWsuzFsliA9gt ZsDeokHQWDYquWGkCyObBJYdFpYWtoo7yZzbuqgF357EWUG0ByH+DvLOlt6CgnffvVLA3L1XQkg8 vagFsVDmRswAnGd6egrKgPMgWoFrfJxOBngD4PgAzuhF6FrGgZ2uDnPYWEyRIa2wQDaZwtRqR2Zm BoAqc2OcQRZILVGtzfjoX2OPjU25RD2XB0i+XW2KU+dqwmvPdT879tUjP6GcN5oPrS54tqWH9lHd J3Tbs6WZ4aUfajTPuSr2jF355etjbw+nFqTBYQqQ9h6QVs7Dlfw0M1DkUAwGV95UUqb2T+X9U0k3 tW/qyNQLU+WIBkebg4cZ4g3zDFKkbKC4GPxgQvkj2hjN2Fe02Io3R5PTONlYZ5Tis2hLFmmj6R/R FKGr0/GvddRspQXRndH3REvzYpbH8FrrCutd1u1WeXPm0Uz+QNYfsvj2dDqcRVJWYVZl1tosf5bK nEUZt1BGFGVk0d4sMmRRXPTRaG5JeymNW2J2xLwUI8UbE1Mlfri86HBJ+aWSSzpXrotrXa7YHG24 FJ5NGTzbkJ2aLU05mO3P/nm2lL0nMlaXaE3sSpSiElWp6Ds1OTUnVZryVur7qV+mSql7YuUkyyGz MV4drtXqiCJIPSnXhl0yd3yHhfxcaQZscq8/oyamJj1oKVPr1XlqRd2m7lYPqdVatZRBcz/OoBkZ FJ7xZgZP1WYkZNyVITkyBOIyBOIyBOIyNiq79CTp9ECbfor+32hrCWFNbG5iBwTagknAynlGD5AV 5hbq3ykIQu9KcIeEzh1KmQqC+/Dly/or+isF2HqBwBDcsF8GE6EcOu4Vey9eZAf3ULEZA4ZkVKuj gTaTWranpvFJema33UDiRPkmJJYUT8KumZGJvdUkdl7Ve3K+IUwbETb257ELH43te5t+TxvJfEFt MGsmalSSOu3RvfN+OnZ51z6ynZz7Qqk2rn6TVjvlySVla7g9JTI5IrJz1u3Lw1f8iGZ8TPPp8daI ynfVmpVFhmR38uNjH/pGx37us6fY2rvqM/VcO0HLVWHAcGrguvSS6l42gaaeYDGBPytfYm+KFhtU lGDBTdKiB0yTksCSk6BLEewfsfTPGPqngV6Wz8ofyNLlJPo0mcIsZEyh4pTqFB6WsjflcIp0OeV6 CscWVyrh0EIqE0WoqI5TranZxCPVSeoJaik63ExzjycT16ek1XwlU5iJ7NbWlK4UnrIvE2/+ss0G bb2O6vF/l/26Ed0FnUr3Q+2PtVy7z6hOobBBfQJdSyAlgRISKCO1P20o7VTa+TR5JO1c2tU0KS3K MEdPI3rSowvi9fjpSR/topOkIvlBPJ1Pt/QUFHzY0nPmDJYdK3jFUMbcV1qgNpS5L1/+pqf8jFh/ ZxBAWHk8alsI9UJbkNh8Qh9T5iQKPgdxvg3uO8V4ZI4/TMPUZC8oMeEMbFJnpAEDEyOp/tzdj9w3 +85bMrW3hJu0iw42r3xtg2dg7djrtOP4XWp0UTP2bl772Gh4+ERa8v61jruHC6bu0mi3bl5Y2ODf 0HTk6bVjr0VpUksKkiPkMBVWMj3woXREtZkV0wNKbXEGFWXT9gJ6ooDustCKaHox+83s97Klu21U a23G5iGFZcdnv5sthYdHUFR4LrlcuTNy+WAuvZj7Zu57udIDebQ5lxCuF5UWbVSNx06b1bSZaKIp LlYxJRTH6o1fm8j0hB6e1RdlZNmSdWmkS2tN60rrS5PTlNj4mrQsJvfLnMkNcpvcLXvlU3KYXMS0 RR8k0x+T6YVk+lA8cindl6XWjlKaklyUkPrHjL50SuexRl0c1cdRXFw+nyi2HI6fLzoU/YiT3M56 J3f+LYo+w2FulFKVifr8vHzenz+Ufz7/Wr6s5Lfl9+dLI/nn8q/mS/n41QgnHad63sV3cYkHV73n TOE7Il6vtPSII1mviHOsfmGh/t2WgisAACCA6IZWDyToT+OUFVNmKItBpW96zujPOKEXD6aWHobD FDoKbTCh7aG3p6ckI7OkxJTCx89GwIQad51vL0DqIEKChy1x1hInLlyCMjoM+ar0aEfD3tvX3F+9 457saZ6I+NmW9dt3rfDckxWTHp6jKd/47sE3Nqx44cGxQ59UbTBtOKyLVi+8U1n41JKBx/VJ4atV h3uWbCnNSl2q1X7+4Aublj4zw/j0+lNjvzLh9S6LDPxdel21BT+Yyme/VR6sjqZb8umWXLozD99t eXwwmrqi+qK4M6ouakGUVJxHk6Jpg47W6yhdN0nn0a3XDehU2qiEKG7KMU6MmhiZPPEHNmz0zhhd rqRXZ0jP3MIuOc36GKMud2JU5O4ccudQjqYB52B7PbUSJ02SOdFon2jfUa+hLk2f5qpGYhq9hmty 4cQr5fryd85gf24JfXE6wGFAfwbng+vl35S7TYVYpPLyK6cRqvry8vEFgM+Z8Ls4z6qwmU6VJk0S R1YDiYiTjMVCxCPwHA5jXAo3mYxIppI9FttfrUbzSEli1PsnN8f8hB57MCFCGqzT4nwf3l5RGJlY 367VeL/32tgJel7bNvaBRuPUyOG2e6tnhBVTNV9ZFvnc12OXz5EqPCPGbtOGVXYvskQRKmnoT/yX 28dSxR16W+DP9D32IX5fPQW/a8Hp0pBcHDx0WpHAlSK5OFywMLxW9oZppRnSyAUtMS1pc3txN2C5 V3DOFxtM+k2XY2J506vzC6qrP6wqyq/2FBRUi4s6MQNIfMLE/7oqaqpq51Y5G9pXta9bsaZrJmjd Xd3LcuZ0rW5fw/4vp6VzSwplbmRzdHJlYW0KZW5kb2JqCjI4IDAgb2JqCjg2NTQKZW5kb2JqCjI5 IDAgb2JqCihGaWd1cmUxKQplbmRvYmoKMzAgMCBvYmoKKE1hYyBPUyBYIDEwLjcuNSBRdWFydHog UERGQ29udGV4dCkKZW5kb2JqCjMxIDAgb2JqCihBZG9iZSBJbGx1c3RyYXRvciBDUzMpCmVuZG9i agozMiAwIG9iagooRDoyMDEzMDMxNjE5MjQ1NlowMCcwMCcpCmVuZG9iagoxIDAgb2JqCjw8IC9U aXRsZSAyOSAwIFIgL1Byb2R1Y2VyIDMwIDAgUiAvQ3JlYXRvciAzMSAwIFIgL0NyZWF0aW9uRGF0 ZSAzMiAwIFIgL01vZERhdGUKMzIgMCBSID4+CmVuZG9iagp4cmVmCjAgMzMKMDAwMDAwMDAwMCA2 NTUzNSBmIAowMDAwMDE3NjAwIDAwMDAwIG4gCjAwMDAwMDIyODMgMDAwMDAgbiAKMDAwMDAwNTU5 MiAwMDAwMCBuIAowMDAwMDAwMDIyIDAwMDAwIG4gCjAwMDAwMDIyNjMgMDAwMDAgbiAKMDAwMDAw MjUxNCAwMDAwMCBuIAowMDAwMDA1NTU2IDAwMDAwIG4gCjAwMDAwMDU3MjUgMDAwMDAgbiAKMDAw MDAwMDAwMCAwMDAwMCBuIAowMDAwMDA3ODQ1IDAwMDAwIG4gCjAwMDAwMDI2NzcgMDAwMDAgbiAK MDAwMDAwMjcyMyAwMDAwMCBuIAowMDAwMDAyNzcyIDAwMDAwIG4gCjAwMDAwMDI4MjAgMDAwMDAg biAKMDAwMDAwNTUzNSAwMDAwMCBuIAowMDAwMDA1Njc1IDAwMDAwIG4gCjAwMDAwMDYxNzAgMDAw MDAgbiAKMDAwMDAwNTg2NiAwMDAwMCBuIAowMDAwMDA2MTUwIDAwMDAwIG4gCjAwMDAwMDYzNjkg MDAwMDAgbiAKMDAwMDAwNjQxMSAwMDAwMCBuIAowMDAwMDA2NjM0IDAwMDAwIG4gCjAwMDAwMDc4 MjQgMDAwMDAgbiAKMDAwMDAwODQyMiAwMDAwMCBuIAowMDAwMDA4MDUxIDAwMDAwIG4gCjAwMDAw MDg0MDIgMDAwMDAgbiAKMDAwMDAwODY3NCAwMDAwMCBuIAowMDAwMDE3NDE5IDAwMDAwIG4gCjAw MDAwMTc0NDAgMDAwMDAgbiAKMDAwMDAxNzQ2NiAwMDAwMCBuIAowMDAwMDE3NTE4IDAwMDAwIG4g CjAwMDAwMTc1NTggMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSAzMyAvUm9vdCAxNiAwIFIgL0lu Zm8gMSAwIFIgL0lEIFsgPGU5ZmE5NTUyNjk1ZDYzMGI1OTY1MmFhMzU2YjU1ZTM5Pgo8ZTlmYTk1 NTI2OTVkNjMwYjU5NjUyYWEzNTZiNTVlMzk+IF0gPj4Kc3RhcnR4cmVmCjE3NzA1CiUlRU9GCg== --_005_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_ Content-Type: application/pdf; name="Figure2.pdf" Content-Description: Figure2.pdf Content-Disposition: attachment; filename="Figure2.pdf"; size=19734; creation-date="Thu, 06 Jun 2013 16:39:23 GMT"; modification-date="Thu, 06 Jun 2013 16:39:23 GMT" Content-ID: <3DAF1E1F4BAA9840A6750C1257E016F3@xxxxxxxx> Content-Transfer-Encoding: base64 JVBERi0xLjMKJcTl8uXrp/Og0MTGCjQgMCBvYmoKPDwgL0xlbmd0aCA1IDAgUiAvRmlsdGVyIC9G bGF0ZURlY29kZSA+PgpzdHJlYW0KeAHFm8uu5LYRhvd6Cq4DjCzeSSDwwkaQteEBsjZOMgkcnwDO LPL6+YoSJXXr0pK6jwcx0n00YpF1r/qL/bv6Sf2uOv4Xs1FBG/Xff6i/qf8or/6njPpVfffXr1r9 86v67kc+f/y5vNqpn3+UVa32OeWQy8NP/Z+dt0pb1/IvQVmn22Rcat7eyzvy/y449Zv6mX1lZ22y Mj4rzxJng8q2HkCH9RM0ctjHJ+ha57QdT6DWTtAUpt6+FoKd+vom3Brh9ofPykAhhPJP8tW7JIdt dTB6oGqj+vzOEq108/mL+nPXdfp79flX9ZfPjwiYENsQvR4JqIGA+b7pCXyAWqzzbWcQ+L5adhTr OxGriSOFUaxoZVLsDoUQurbTOS0pIOlCoXlsGs/YZgimjTZVHW7ZpsH4dtgwCEL7gH1hG13G0MS+ EMK7woi9UQ4xy0fw8PVWzL3a1sLoemLWDcQ6r94b0/k2d5ln2rQ+Zq9MSG0UCU1PIm7Wmdm6t/lb XZuT9nNK/RMsWw4/3+9NffmT0rBcvf0M65Nzw7qLhXX5GFgvksBiEEss3vSm/lXk8UDE1sdWi4tY Y9rgkp7tkxTPHRFCPrxbiLisDezXr4226MW2xmmead+aHGzjjMUJ8/REjt5GP1/3xrPxLb7khM7D SKl/0iz3OyPRfU4dQoVT+Rg4LYwTXJFCH58OStSLKWWH/xsk0PkTAi1LYxZlyFJnEKjXqQ1eFKRj m7w1DXaKM9jpifLJEzHn694wg/Gt0BqPl8wo9U+a5X5nBLrL6Al5Vo/ts0GQPCWpB5cPGjIaRpKL +J+VNBeakg0MjrSeDbYJmJhabXyfDSCwSCf2mG9K4oUW0dXo1gZM++295EvCku3E/frMu+PeMxKh dcn6McQXElA7QQK5+BzNLYl6iubQKWxoo9brFPYi9MTHoga5EcWtjhcZ36IYvM8aEYYJg4aaUcXm QcL3gZSLp4qJeILOqOJqI7Ym/I2SI+g2RsKptbk1IaQVAmPJQaxf1ixUGt4QKCyxrbNklHsrtQ9Y iES7SCVkiyoWRj4u36hYlukOY/fkf9dKGva+JUgrIpOPDbXnF+WsJQhL6eaJL6TR2RtSHH4hqkgd hkzqG0QNSBUa/Rs/YVzbpaVknqu1rcmc24o8CX9Jm1lta5KK1IIxq+SUoUzE8B9kfiFmxF97Yrp5 VyZDt/M86xIaHxJgdvJWF1qdpHZBl4GcWNa5zFZvPDPt8BZlQcq6mVEKvM7ZyuHn+7HuRObfZR0L Edb5r7JeJMGfiOVUnnKuZGGpa2ybMfopUdGf4AKaKkiLfA1tCzHuRshltcOk+tUI8p3MqSmGOp5p S6qKqXFRbIY8Zim0bEK4Lrk26yTv6DaYLkHXRUyQgpe3sMnMM6FE+SxvGZJXhpKc9ma/MzLd49Up 4oUWuRKBRl5pQGCeh/BuSz46mP4DnHbUfcVobi3XdkWsmC38G+r7e8sNHcLJUhgNhopQQwfjWZoB DDXSbTVBmjgtb2GovsPgAsHXZDKPrBsMdfYWRCme55So+VyA0mK/M0J9wClChVMMp3IqfyY59b1E Je0eyVK1nZsM9SbHHCIR6UtSykOmIxBcIBGRJwoZe10hcSpjm2SxEdzrhsSpjE14abXF11ZJ1A67 2Uh3Q74dzjH0x7OSyj1IVjXfml6ccTtdbRyg5luTpOkHE6npstZkY77bIjDkWxO71lidRwJHM37N tyYWde4m7LWMbzTRvqMKl/gfkpvKynoCvy9EQ6LPHc1GJbAQ4iMCpGw0SOi/P0EV4kjgcNGgSWqO I4XQWmnZYA2saFY27KNJiypkXXsW4cfsICwnjyGdZd1mQ9dKyqsERvUvWF8/gdMdBS/t/nCAcf2k vH2EaMGpjZSQkkFAPnygeEC7lPWvFp2X+tLFifOzovMOzxlsBsnPGW8EWxttZl1wPoCYhLQrOSrl BnDuqNF5qn6BN0ejm0mOOrP58gDCfKrOJGHGDou3HZ2Dt3mWW6L6xD9oann5NNYQoG+LoIURmEJO EnFPzkqlaRyNrNTRZHKbLFYvtYwW9xqf4MqgT9M6Npq9FclZ3jYzSv0TtdiPdScqzQfM54F5VDMw X4RBxAGT/cSHtOkHyyJLjZcE1VnKOSBfKRZ8+ZSy9l7OZXEUSHUQqwBNSepHMrkIEckANFF5Ofxj fAKiQ13UlXeKdsEP1ewtwGEj4OJEqX/SLPc7I9YHrFJYF1Zx4YHV8rd0r0iCjxNS9fS7WqC/S2It q4sEJrF64lZKRhQ1iNWDJcdO5DQ8AQ+jTQ/lnVGss7cGsc4oDWJd7ndGrI94PSXXu9gkLbGMY6QS vdyy0rx09Mp0RK6NYAFTKOnUJ01QODKPWYSU9TCsM2FYgI7afi3SQKjVxx2rdfCzyWpBsvYnTwKk +dI8D6xOVaiwig0XVpuXFAuGxBqMhOjSp/plsRA/ktWMP8iAgLxLrTUr2YtSQ1XqLhJyUKm0cLQF mkDQg0h+odSP5FQA+9KEg3DoQKM2dhbCKXXqYL6v4FR6We8LYC0IasrbnK7bvyAFHFbwtp7AWMfU AjBdNYoSf8X+m83JqwU7S9J8VVe/lVW1/426pQabg1YhoGguE6nB/kdWqVVLyXbZKkZWt4fMViaJ TB1gNdJtmNk44/VRzXpCaCcT7QEIXpjFR0a1goj246ye1TutDpj8a6IattumCIy3yeplrR4I4JRJ LSAdkcbyRfLI3NmZG7/Q1x3wsTPMnyo4v1Dqh3IKPhAZhQONAeZKcJ1zqmmkXpiqHCNLIL8RtT7N 6ebI/YhOgVJMDx6W8V7FuARDlKKyV6ltdrE2B+bfibAiXj8bSomvk/wGs1i9UXIyrDHnaQXf7UeR 85hWrnjEOrA5W74ciGleMh2obs3pH1moeTJdD1uXudAypX9kRCsTnIQeK6e3xq8Hhb4monlRqNzR +CbVS+iANSId1B8Q0QI3O0IUKHsYN57282eKb3pWxjUyG1kt1JhbvDCiMaFhskrxV+usbVbXCzVG +KCc0oJ/i0ItSO4JwMvrhRq3C14Y0QJoqY8yqXlYqK3Lqm/qcNcBk15CylmK2h1sbTN/HIiKmBSy kplqlos3boqK8/SxP6oxBT8uI1CIMXUrAYfkJVcSZaS2J+7amR6si2Uv4DTmS+W8dhlax7piXdwT AZmlgASPSaj2EMcJlHnOco7yKIs9pS9KtygT/Gf0xSgxlRHETF3csPsIdbEVjd4T6hoJXFXXROBb qIuRtg4yEXjCveiPjJORPPOPj3Yv6cVicWXZ9IJ7jQSu6msi8C30FQSkLyOi6+FQZkLMitf1hWxf GQ4rTHY5HI4EruprIvBIX+sBuaBC3HWs+W85k/2lgjo/fF6byRb8QMuVg62hbkmgcnP8rq2ozcsz AZmbgFxjGT3mUgItU0TDIGjVw0FGXmgxspf33Ny5ajGWWWDXMdkS4DIkvtxP8R8k0OkE/TWA5b29 MYFuWIxMIqxMqLcIzGHA0kS/8AcYXGgC8QfZeCKkW0SndRnir4T0Fyuc5p6pez3v+ZBOuQVa5CT/ XFT4eIItfY0Kv3PQWhw+46BO7kulkf9LDuro50MAT/oDHFT2clwRGezrvL4ccz3UJSX9NX1NJ/gm +mK6lGM5/uUUzM9oQLJutVULXDr4F4bTEdG9Gk4dvXa5pnpZWxVT3oyGo3eth9Mev8S2t9LnLP+u /XKrgF2Wrq8SWKAFW/n3oXsfAEC9mEsnF0n6CnsCu24b2L0b8eUuSuLe8Y1707we6YhqEXGwgZW9 Ej/kGM5La1DT52Kws66uicB9xVZvMZX8K3jBQwKbFdtw7f0uHFdWnwnH3jHDk2rvekPkwXc8N+Zv 1fUxeIPsxY102etaQzQRuFfXQbxhRmBTXfu31p5SF3c2kysXHi9HY37LJ9illJwr1c5r8SHZi/vS 19VV199r66h3jus3lfVxYJ4nX9sMSPyMcwHoA55uKOu13es4PLjsXHX6UC5GXwDzphP0l7N3wLz1 YFqgcq7kj8lvHs7LTGvMngRTYpT8DPx9/EH4b+WbjOnk/tdv/HpTLiTJ97uORR4Bpqp/yyVvy8+o 5ZI3LlWe8mNFcHZgG8IqtwxDBh8sWYULdkNScH+fmujZOmnm+K20rOPnLy7bPndP6/z8SvZsP25i BMG1rOMXNdKL3e3nf6mjvJtzGm6TOS942Llz6sydvlj2i5j4yjnHlu9mPzme9fzCV77wg6flOXM9 50//B9Z2Qv8KZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqCjMxNzkKZW5kb2JqCjIgMCBvYmoKPDwg L1R5cGUgL1BhZ2UgL1BhcmVudCAzIDAgUiAvUmVzb3VyY2VzIDYgMCBSIC9Db250ZW50cyA0IDAg UiAvTWVkaWFCb3ggWzAgMCA3OTIgNjEyXQovQ3JvcEJveCBbMTE5LjU4OCAyMzkuMTgyNyA2NzYu Mzk4NyAzNzMuNDAyXSAvQmxlZWRCb3ggWzAgMCA3OTIgNjEyXSAvVHJpbUJveApbMCAwIDc5MiA2 MTJdIC9BcnRCb3ggWzEyOSAyNDIuMzQ2IDY2My40MzYgMzYzLjMzNV0gPj4KZW5kb2JqCjYgMCBv YmoKPDwgL1Byb2NTZXQgWyAvUERGIC9UZXh0IF0gL0NvbG9yU3BhY2UgPDwgL0NzMSA3IDAgUiA+ PiAvRXh0R1N0YXRlIDw8IC9HczMKMTEgMCBSIC9HczIgMTIgMCBSIC9HczEgMTMgMCBSID4+IC9G b250IDw8IC9HMiA5IDAgUiAvRzMgMTAgMCBSIC9HMSA4IDAgUgo+PiA+PgplbmRvYmoKMTEgMCBv YmoKPDwgL1R5cGUgL0V4dEdTdGF0ZSAvT1BNIDEgPj4KZW5kb2JqCjEyIDAgb2JqCjw8IC9UeXBl IC9FeHRHU3RhdGUgL1NBIGZhbHNlID4+CmVuZG9iagoxMyAwIG9iago8PCAvVHlwZSAvRXh0R1N0 YXRlIC9TQSB0cnVlID4+CmVuZG9iagoxNCAwIG9iago8PCAvTGVuZ3RoIDE1IDAgUiAvTiAzIC9B bHRlcm5hdGUgL0RldmljZVJHQiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAGdlndU U9kWh8+9N73QEiIgJfQaegkg0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFHhyJjRRQLg4Ji1wny EFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0WAGANKFYFO7rwVwSE8vE9wIY EAEOWAHA4WZmBEf4RALU/L09mZmoSMaz9u4ugGS72yy/UCZz1v9/kSI3QyQGAApF1TY8fiYX5QKU U7PFGTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnOGbw0noy7UN6aJeGjjAShXJgl 4GejfAdlvVRJmgDl9yjT0/icTAAwFJlfzOcmoWyJMkUUGe6J8gIACJTEObxyDov5OWieAHimZ+SK BIlJYqYR15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyOMBeAr2+WRQElWW2ZaJHtrRzt7VnW5mj5 v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9FgD2JFqbHbO+lVUAtG0GQOXhrE/vIADyBQC03pzz HoZsXpLE4gwnC4vs7GxzAZ9rLivoN/ufgm/Kv4Y595nL7vtWO6YXP4EjSRUzZUXlpqemS0TMzAwO l89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR6JQJhIlou4U8gViQLmQKhH/V4X8YNicHGX6daxRodV8A fYU5ULhJB8hvPQBDIwMkbj96An3rWxAxCsi+vGitka9zjzJ6/uf6Hwtcim7hTEEiU+b2DI9kciWi LBmj34RswQISkAd0oAo0gS4wAixgDRyAM3AD3iAAhIBIEAOWAy5IAmlABLJBPtgACkEx2AF2g2pw ANSBetAEToI2cAZcBFfADXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC1hAbWgh5Q0FQOBQD xUOJkBCSQPnQJqgYKoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0BfYQRmALTYQ3YALaA2bA7HAhHwsvg RHgVnAcXwNvhSrgWPg63whfhG/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREha5EipAKpRZqQDqQb uY1IkXHkAwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQM4H5gqVi1bGmWCesP3YJNhGb jS3EVmCPYFuwl7ED2GHsOxwOx8AZ4hxwfrgYXDJuNa4Etw/XjLuA68MN4SbxeLwq3hTvgg/Bc/Bi fCG+Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahPdCKGEHnEXGIpsY7YQbxJ HCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9IZPJOmRHchhZQF5PriSfIF8lD5I/UJQoJhRPShxFQtlO OUq5QHlAeUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3slT5TXl3eXXy6fJ18h f0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqilWKIYppiiWKD4jXFUSW8koGStxJPqUDpsNIlpSEa QtOledK4tE20Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPKUgbCMGD4M1IZpYyTjLuM j/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWPqkxVb9UU1Z2qbapP1DBqJmphatlq+9Uuq43P p893ns+dXzT/5PyH6rC6iXq4+mr1w+o96pMamhq+GhkaVRqXNMY1GZpumsma5ZrnNMe0aFoLtQRa 5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNYZ6NOs84TXZIuWzdBt1y3U3dCT0svWC9f r1HvoT5Rn62fpL9Hv1t/ysDQINpgi0GbwaihiqG/YZ5ho+FjI6qRq9Eqo1qjO8Y4Y7ZxivE+41sm sImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1u8eisNxZWaxG1qA5wzzIfKN5m/krCz2LWIudFt0W XyztLFMt6ywfWSlZBVhttOqw+sPaxJprXWN9x4Zq42Ozzqbd5rWtqS3fdr/tfTuaXbDdFrtOu8/2 DvYi+yb7MQc9h3iHvQ732HR2KLuEfdUR6+jhuM7xjOMHJ3snsdNJp9+dWc4pzg3OowsMF/AX1C0Y ctFx4bgccpEuZC6MX3hwodRV25XjWuv6zE3Xjed2xG3E3dg92f24+ysPSw+RR4vHlKeT5xrPC16I l69XkVevt5L3Yu9q76c+Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX+08EOASsCegKpARGBFYH PgsyCRIFdQTDwQHBu4IfL9JfJFzUFgJC/EN2hTwJNQxdFfpzGC4sNKwm7Hm4VXh+eHcELWJFREPE u0iPyNLIR4uNFksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7JHZyqffS3UuH4+zi CuPuLjNclrPs2nK15anLz66QX8FZcSoeGx8d3xD/iRPCqeVMrvRfuXflBNeTu4f7kufGK+eN8V34 ZfyRBJeEsoTRRJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmEtPi000IlYYqwK10z PSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M9UiMJJslg1kLs2qy3mdHZZ/KUcwR5vTkmuRu yx3J88n7fjVmNXd1Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ8MtGy41lG99uit7U UaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrblyJe0fViy+KK4k8l3JLr31l9V/ndzPaE 7b2l9qX7d+B2CHfc3em681iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mPZI+0MqiyvUqvakfV p+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I91BrrUFtxWHc4azDz+ui6rq/Z39f f0TtSPGRz0eFR6XHwo911TvU1zeoN5Q2wo2SxrHjccdv/eD1Q3sTq+lQM6O5+AQ4ITnx4sf4H++e DDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3OHS0/m/989Iz2mZqzymdLz5HOFZyb OZ93fvJCxoXxi4kXhzpXdD66tOTSna6wrt7LgZevXvG5cqnbvfv8VZerZ645XTt9nX297Yb9jdYe u56WX+x+aem172296XCz/ZbjrY6+BX3n+l37L972un3ljv+dGwOLBvruLr57/17cPel93v3RB6kP Xj/Mejj9aP1j7OOiJwpPKp6qP6391fjXZqm99Oyg12DPs4hnj4a4Qy//lfmvT8MFz6nPK0a0RupH rUfPjPmM3Xqx9MXwy4yX0+OFvyn+tveV0auffnf7vWdiycTwa9HrmT9K3qi+OfrW9m3nZOjk03dp 76anit6rvj/2gf2h+2P0x5Hp7E/4T5WfjT93fAn88ngmbWbm3/eE8/sKZW5kc3RyZWFtCmVuZG9i agoxNSAwIG9iagoyNjEyCmVuZG9iago3IDAgb2JqClsgL0lDQ0Jhc2VkIDE0IDAgUiBdCmVuZG9i agozIDAgb2JqCjw8IC9UeXBlIC9QYWdlcyAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSAvQ291bnQg MSAvS2lkcyBbIDIgMCBSIF0gPj4KZW5kb2JqCjE2IDAgb2JqCjw8IC9UeXBlIC9DYXRhbG9nIC9Q YWdlcyAzIDAgUiA+PgplbmRvYmoKOSAwIG9iago8PCAvVHlwZSAvRm9udCAvU3VidHlwZSAvVHlw ZTAgL0VuY29kaW5nIC9JZGVudGl0eS1IIC9EZXNjZW5kYW50Rm9udHMgWzE3IDAgUl0KL0Jhc2VG b250IC9PQUZWSlQrT3B1c1N0ZCAvVG9Vbmljb2RlIDE4IDAgUiA+PgplbmRvYmoKMTggMCBvYmoK PDwgL0xlbmd0aCAxOSAwIFIgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBXZDNasQw DITvfgodt4fFuz2HQNlSyKE/NO0DeO1JMDSyUZxD3r6yW7ZQgQ8e+RuNbC/D48CxkH2T5EcUmiIH wZo28aAr5sjmfE8h+vJ7a5pfXDZW4XFfC5aBp0RdZ4jsuyJrkZ0ODyFdcVe1VwmQyDMdPi9jU8Yt 5y8s4EIn0/cUMKnds8svbgHZhh6HoP1Y9qNSfy8+9gzSREqcfyL5FLBm5yGOZ5jupNV3T1q9AYd/ 7arU9LdpfhPRQW3FlqF6R8btF3LK1aedb2aKZLMKZW5kc3RyZWFtCmVuZG9iagoxOSAwIG9iagoy MDgKZW5kb2JqCjE3IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9DSURGb250VHlwZTIg L0Jhc2VGb250IC9PQUZWSlQrT3B1c1N0ZCAvQ0lEU3lzdGVtSW5mbwo8PCAvUmVnaXN0cnkgKEFk b2JlKSAvT3JkZXJpbmcgKElkZW50aXR5KSAvU3VwcGxlbWVudCAwID4+IC9XIDIwIDAgUiAvRFcg MTAwMAovRm9udERlc2NyaXB0b3IgMjEgMCBSID4+CmVuZG9iagoyMCAwIG9iagpbIDEgWyA0MzUg ODAxIDI5NCA3NzQgMTc5IDQzNSA0MjMgMjU0IDMzNyAyOTIgXSBdCmVuZG9iagoyMSAwIG9iago8 PCAvVHlwZSAvRm9udERlc2NyaXB0b3IgL0ZvbnROYW1lIC9PQUZWSlQrT3B1c1N0ZCAvRmxhZ3Mg MzIgL0ZvbnRCQm94IFswIC02NDEgNzMwIDEyNDBdCi9JdGFsaWNBbmdsZSAwIC9Bc2NlbnQgNzgg L0Rlc2NlbnQgNDcgL0NhcEhlaWdodCA2OSAvU3RlbVYgMCAvTGVhZGluZyAxIC9YSGVpZ2h0CjUy IC9BdmdXaWR0aCAyMTEgL0ZvbnRGaWxlMiAyMiAwIFIgPj4KZW5kb2JqCjIyIDAgb2JqCjw8IC9M ZW5ndGggMjMgMCBSIC9MZW5ndGgxIDI1NTcgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFt CngBjVZ9TFvXFT/n2thA3BAbsEmtEH+AIfgDsOEZmxAggKkhfINpIIHY2NimxiYYAiRVoFkJS0uU dUPtpGRrJpGtmaqpjRJtmqJOUdVoq6Zt3RYl0j6qqcu2ZvlnqtpKQTx2nv1GWLU/du1r/8459557 vu55DxAAMmEJJABdfeX2wMQPPyTOKs0T4djC+K9u35oh/Bgg4+eRkD8Y/NR7F0B2k3hchBiy0zBJ 9COiiyKTM/P6D6EJQL6baEssMebPXM7+JtFuogsm/fNTsAcuEN1LtC7unwzJVgr9RE8DsFeB4Tv4 DcggfJu9Qisupf/xA7CjRAGMRIyEIF0C+EE3QAOIo9HnbSZKt4HSB5sqKJY+kJBL6SH5B/KEdDTJ V94oAfwLWMkfmdFgMpmqqziOc6o1Mk2eWq122AWK2CajjEb+Nk8Ca8u1AU+xoTlwyFTagQWlVYUF 5UX5iFXDs43Bq8m6xrn1UGXo6OE//aLz/LWh/otRN2JWq0dbrlep9OVa63OOQmx+8Xpo4uZKm9k7 DCAF6ZOPMz7KegydMAITsEIG5qrzhXONhhKyI21IyX8bkjJOMFDzdIVBLuFUJXuQVrJ8tQaUapVa qlFzpI2h6CLnUGtyJZyTnCRnZXJJrkxWkg4AFBMmZwVJOh7S8k4Zts6/0Td+zD12pAyxqH6gwn2s yegOr3SGf7zag5ipUCpznpGznpUAh9ix8u64vH3okz8g/2nPmQEzWjeb8PwjNH+/9aR5nPF+hdzc 3Vurz99jfq0s63Cs24IYHftgjTvTevbjt/1Yinpf78XJOjxz0vOWpTfO1/PnDYUdy+OuCllJ06DT Nuy1IpY+53d2Lw5XHEpe9WfbW7p7vDX7seSFly61j//oa20ow3fu4Hc+wWFcbvzpQ55fef/G5i1e 9S1+6/1JxILsK9FL/D3+knnMeY7/7YgRJZ//hr0tRXSNzteH3/Wy9c2GQi0OvHE3+Utcf8CP53Yl V9vPLXLZke9WDXlsQuUBfwHvSYbgGdACKIv/kyKTPNeYm4orRZZC6ORQf7xfgkUNPdZzdTmH37PX M6zw+kqzFVb+wj3PawfLvFwhYogtb17EQ+VlsfjxZx3f7pv10T1UbIQy7rNMqIcj8DxArtqhFlJN wyn8VHNC9ndUhSDYZjkMznRBUzLzKKlyGZJdqRW0Ra7cQahYw/7BiVOnFxJ+k7vTlo+W8vA/bwRv vtqzr6bT7h/UIe41u/Q6riRPkoO1odMNg6vB6ualm1MLUjW6rGYXYy6z1UUB3MYbr1dgfonbOziW OHhs7excQ/hKYDnOsDF5eagu2mvFkT67ob5yH2L+3lx91Xh3BWLLi+t/3Pjyb6FYRpG1BrFGVMaz HZRwdx1bv4bfUbfZBeDMe+qTw1JkoNqwGoos+/RUVhZ9ikxn6zH7CDWgglKAp3fZWSXGrzh924Ti NxpSjUAIsKllmHv+2ko3Hpha6rm81M4ss6ir8fb5elq1s/tdbf2+3pYRS4tNUz2y2FbRQXeh/oWX /4WjmmqXs9qiV51Qc64ah1mfm+o3X7DbqAAl5VFsLanMyYXG8rDr2uoAY0vh7vULA6iv7+O/qA0t tvSMMqwNLrZYDls1KS82PTjJ3gO54DkqM5RGZbESi5UZOMnfdaCLf4Iy/smmR9oex8sbt2J8WOI8 wb81Qou3tnjG9uMVyCWCrnsJV11lNJC7+TKn3YkOtv/Nl1VZ+lmtvbQAfxb5Hv8TH3a/grI6a0il Nalfx+rNcsGLTTnTSlxgJi1CpVWbnJhqF2qNWk6OUNtI16OA1aTZVE0Vp2Zava+Pwzv8mhHNbivD 39eOttcVNLor2zkttkWbjdkK6Us43tvHRxzh8GjZxCP8TJaH7qOBA2/eaT95tMOoRzzQNGB1JU9Y clBxNuY5gmQOfYX597VrjtGcg58LD7Cvjq0t6q33qbciyESZsOsq+IVbLIyM+yk9aSL9S/EFkJyh 51kEpGyI/itBgQlwCDxJgJJBB7EbNH3itlbUYS/+Gb9kNWyIzbPL7K8prbvg69TfhSGc+tWhxt3b fIqpiJHcMIuYUbYdIpbs4Et34AxQgFtcI6P1HhFnQj50iDiLOlVAxLvo2ZsQsSKF6VEozaLzfbBI fUfASPx7ImawGx6KWLKDLyX+ZyI/AwooIem9sh38TCjDvSI/C57FJhHvAh0eF7FCwE2JqYXpaDgy o7uuazwVDer6Q2OReCKWCC9YdN74mE1X6apxWu0VlZVdU7NJXd9MsDcUno35p32h6WQ0EddxNldK RJL/qaAtEffPRPxxnScaj8/NzdmS0UAoFp1N2sYSk/SykoApWIBpiEIYIjADOrhOsxFOESdIqB9C MEaSOK2M0QzTagvxvcQZAxuhSnBBDTjppcIOFURVQhfpnIUkyfpIYxB6SUeYODEqv+ltaVrmI9k0 rY2S7jjt4Eini3T8/xa0pXb66aQI6Rd0eEhbnD5zqY8tpT1A58SIL9hlI8sTMPlviXwHZAplbmRz dHJlYW0KZW5kb2JqCjIzIDAgb2JqCjE4NzUKZW5kb2JqCjggMCBvYmoKPDwgL1R5cGUgL0ZvbnQg L1N1YnR5cGUgL1R5cGUwIC9FbmNvZGluZyAvSWRlbnRpdHktSCAvRGVzY2VuZGFudEZvbnRzIFsy NCAwIFJdCi9CYXNlRm9udCAvS0NWR0FDK09wdXNTcGVjaWFsU3RkIC9Ub1VuaWNvZGUgMjUgMCBS ID4+CmVuZG9iagoyNSAwIG9iago8PCAvTGVuZ3RoIDI2IDAgUiAvRmlsdGVyIC9GbGF0ZURlY29k ZSA+PgpzdHJlYW0KeAFdkM1qxDAMhO9+Ch23h8W7PYdA2VLIoT807QN47UkwNLJRnEPevrJbtlCB Dx75G41sL8PjwLGQfZPkRxSaIgfBmjbxoCvmyOZ8TyH68ntrml9cNlbhcV8LloGnRF1niOy7ImuR nQ4PIV1xV7VXCZDIMx0+L2NTxi3nLyzgQifT9xQwqd2zyy9uAdmGHoeg/Vj2o1J/Lz72DNJESpx/ IvkUsGbnIY5nmO6k1XdPWr0Bh3/tqtT0t2l+E9FBbcWWoXpHxu0XcsrVp51vZopkswplbmRzdHJl YW0KZW5kb2JqCjI2IDAgb2JqCjIwOAplbmRvYmoKMjQgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1 YnR5cGUgL0NJREZvbnRUeXBlMiAvQmFzZUZvbnQgL0tDVkdBQytPcHVzU3BlY2lhbFN0ZCAvQ0lE U3lzdGVtSW5mbwo8PCAvUmVnaXN0cnkgKEFkb2JlKSAvT3JkZXJpbmcgKElkZW50aXR5KSAvU3Vw cGxlbWVudCAwID4+IC9XIDI3IDAgUiAvRFcgMTAwMAovRm9udERlc2NyaXB0b3IgMjggMCBSID4+ CmVuZG9iagoyNyAwIG9iagpbIDEgWyA1MDQgNDI0IF0gXQplbmRvYmoKMjggMCBvYmoKPDwgL1R5 cGUgL0ZvbnREZXNjcmlwdG9yIC9Gb250TmFtZSAvS0NWR0FDK09wdXNTcGVjaWFsU3RkIC9GbGFn cyAzMiAvRm9udEJCb3gKWzAgLTM4NyA0NTUgMzg4XSAvSXRhbGljQW5nbGUgMCAvQXNjZW50IDEy MSAvRGVzY2VudCA2MCAvQ2FwSGVpZ2h0IDEwNyAvU3RlbVYKMCAvTGVhZGluZyAyIC9YSGVpZ2h0 IDgwIC9BdmdXaWR0aCAyMzAgL0ZvbnRGaWxlMiAyOSAwIFIgPj4KZW5kb2JqCjI5IDAgb2JqCjw8 IC9MZW5ndGggMzAgMCBSIC9MZW5ndGgxIDEyMjAgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3Ry ZWFtCngBjVNNaBNbGD03M/kpxj6rtv7UB1MVW6wdk6hJRUVbpZgKrVgpKIJOkzEzMJmJSdoYBO2i iKj4HoIbF/LkddPV2zzUhRsX7sSNCIILN4IILlwogtbquelF4s/Cb/jIOeee72dyGQgAMUxDA0bH tqYuvbj5nMpV5qmCVz+t9996RvyGed2xrfzE3QOfAXGePO1Q0G/jAvn/5BudYvVs1COCkDVxL8hZ 2Igs+UvyWNE6W0IY7eSyn+FbRftB28X1QCjOvIeQeCb+pgOh+6HLdPy1+CseIoWPcYQjYYR4CH0a +O8wjGF6GjEwnj2AfTA+haJX5nchG72ivZ5WZ+Kd+Pctp5HyXb881Ga1Tiwn2b4hwohG9Ghb1450 Op1Ja7Od0e7MYNeNhX8eCRyfmxl5rEXaxeoes8Opdy703umZqY08afSZf6XNYg9WkGzq3sTo3tHV 1qGv6mBsS2mz4vHIzBm77wseiVM3ugYz3dHO+fmhp4emju1ddWeh98+6vSbR0y43khk7WEid/GP3 e3kVP4ecxZ0FIupMVn3AOflPyeAmUmkO3iags5mWV7K8B+nSsFK5f6yRxg7R+q1XL/miR2AZehUO IYpdCmtNut6Ew4hjUHkiaMWIwjHe/QmFW7AUZxRewtrzCscbWIPQWzh/HNe4scQCBl4qHEKr0BXW mnQd68RypYexWpgKR5r0GDaLIaW3YK0oKbwEhriscFzi/UGpXnYLTtWYMwam3Lxx1M45fuAFhfoW I+vnTCO5sz/Tl0okk6OlyYoxVrJzruUZY9X8Ebsw6VnlcbtccQPfyJiJhLQoBw2/7Dcc+FbVsXxj yPX9Wq1mVtwJ23MnK2YuKGI/ApRQRxkuCnBQ5XvPMQcwRSVPdBQ2cjzx6fSYBbq3UM9SycEkSmIn +pFBH7+nBFkSo+w5iQrPxohkvQuL1ZJX2fUItQIdHtXyN/f33kXnOJ1ldnI52Wd9hhMTfH5/v+FG pcW5DqfJHkPs5vOpNR6z0X2CczzqcmuT+wYofgWkGc8bCmVuZHN0cmVhbQplbmRvYmoKMzAgMCBv YmoKNzcwCmVuZG9iagoxMCAwIG9iago8PCAvVHlwZSAvRm9udCAvU3VidHlwZSAvVHlwZTAgL0Vu Y29kaW5nIC9JZGVudGl0eS1IIC9EZXNjZW5kYW50Rm9udHMgWzMxIDAgUl0KL0Jhc2VGb250IC9Z U0NJTEorV2luZ2RpbmdzMiAvVG9Vbmljb2RlIDMyIDAgUiA+PgplbmRvYmoKMzIgMCBvYmoKPDwg L0xlbmd0aCAzMyAwIFIgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBfZHPSsQwEMbv eYo5roel3dW2CqWwrAg9+AerD5AmkxqwSUjTQ9/eSSyrKHQgA5n5fWHyTXZu71ujA2Qv3ooOAyht pMfJzl4g9Dhoww5HkFqE9ZZqYuSOZSTuling2Bploa4ZQPZKkin4BXYnaXu8irVnL9FrM8Du/dyl Sjc794kjmgA5axqQqOi5R+6e+IiQJem+ldTXYdmT6od4WxwCTUSKw/dIwkqcHBfouRmQ1TlFUz9Q NAyN/NNeRb0SH9xH+EY2lEsOilJSrL1/ZHEdySonssq3ydtEFpEstsm7RJaRLLdJnsgqktVvMv4x 7uPin5i9J+vS0pKr0S1t8LJXZ110Jp0vJxCiEwplbmRzdHJlYW0KZW5kb2JqCjMzIDAgb2JqCjI2 NwplbmRvYmoKMzEgMCBvYmoKPDwgL1R5cGUgL0ZvbnQgL1N1YnR5cGUgL0NJREZvbnRUeXBlMiAv QmFzZUZvbnQgL1lTQ0lMSitXaW5nZGluZ3MyIC9DSURTeXN0ZW1JbmZvCjw8IC9SZWdpc3RyeSAo QWRvYmUpIC9PcmRlcmluZyAoSWRlbnRpdHkpIC9TdXBwbGVtZW50IDAgPj4gL1cgMzQgMCBSIC9E VyAxMDAwCi9Gb250RGVzY3JpcHRvciAzNSAwIFIgPj4KZW5kb2JqCjM0IDAgb2JqClsgNzcgNzcg ODkyIDgzIDgzIDg5MiA4OCA5MCA4OTIgXQplbmRvYmoKMzUgMCBvYmoKPDwgL1R5cGUgL0ZvbnRE ZXNjcmlwdG9yIC9Gb250TmFtZSAvWVNDSUxKK1dpbmdkaW5nczIgL0ZsYWdzIDMyIC9Gb250QkJv eApbMCAtMjExIDExMTEgODQzXSAvSXRhbGljQW5nbGUgMCAvQXNjZW50IDg0MyAvRGVzY2VudCAt MjExIC9DYXBIZWlnaHQgNzUwCi9TdGVtViAwIC9YSGVpZ2h0IDU2MiAvQXZnV2lkdGggODMwIC9N YXhXaWR0aCAxMTQ1IC9Gb250RmlsZTIgMzYgMCBSID4+CmVuZG9iagozNiAwIG9iago8PCAvTGVu Z3RoIDM3IDAgUiAvTGVuZ3RoMSAxMDUxNiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0K eAHtWnt0VNXVP/veeSWZZCYhT8LjDgMB8gBmJg9AjCEPXhFNIECiUDKZuUlGJjPjzAQSUAhVVALU aGm1WhUVX1V0QnwEfIC2UKyi1mq1avt1VepytYXl6hJcukzy/c69M8kEH22/9f3x/fHNyT77cfbZ Z+99ztx7Z98wYowlsx4msrorV8+1L/jo7/dD8hFgravDGah58+hbjJEdcJdrc1hq+2fXnYwJrzOm +VtroK3jV59fEmFM/yz4jW3e7ta3Rgr2M2bMYExrbJed7t83HDzJWKoF9krbITA9ZJgOfh346e0d 4a6nL9x2EPw2xsSA1+9yRg48VcpY+t+x3tEOZ1cgwaYNM5b5EPQln7NDHvnjp38FfwLrnQ34Q2G6 I3MfY7mHGUtcFwjKgSV/MzzPWF4C7CUx0h2kPqZlBs0bmjcgyYxh5hYlI9MKJJBWjw+sj/usXC1J rOIz6bMvdQV0kNl0xyjSM6YhguQwifHsMeZVOEZBpmF14M1ofJyxBOR2O/vys+2ffTkyMiqRWA9s 90BCI1+NXBj5eOQvpo9Nf4laU9RiHemQiShDsXVjgxxjUNRodXpDQmKSMTnFZE5Nm5CekZmVnTMx d9LkKVMlyzTr9Bl5M2fNzi8oLJozd57N7iguKS2bv2DhJYsuLb+sYnFlVXXNkqXLlq+ovXzlFVfW 1a9a3bBm7brGpquuXr/hBxubnazF5ZZb29o912zydvj8gWuDoXDn5i1d3Vu3XXf99h09O394w427 brr5lt29e/bu+9Gtfbfd/uP9P/npHXf+7K67f37PvfcduP+BBw8+9PAjjz72i8efOPTkU5H+wwNP P/Psc4NHjj7/wosvHTv+8iu//NWJk78+9epvXnv99BtvvvXbt3/3zru/f+/9P3zwYTRQDZsFSofs EhNiuVQz+F15M8/X/kWZfQ6z/gefke/4/GtT6kRF7/rv0hZ2Mht7he1H7wK0oFWz/dpTQie4E5A9 BcxbNfsCfbn2FLue2WiW8AooyJV+mwALVMRpmsUcmLWf3YvRFayZ7RfKhA2gW9iIUAcNYnbIW6Bx knppDxPA38CewVon2Nc0iz4QBrhdNDsrVvy5Fbr72RGMzRIGhAHFxmy2EWPb2E0YOcHOsws0hebT HqFOuEsDH7XndGloe5TVLmHL2Vp4wmPbynYr1vgs3v6JmRbKo0pawr1Be4HepbNo54Qp8HyncKOw V7gL6w5pytEatGHtKdi9gnWg+eDBNnY/O8b+BDuzqJ26YEVte+gAPUjPwt5L9I6wWGgSPLB2k2aN Zr2WtKJ2jmJprv4GZGM9Mtal2NrGdrJd7Gb4+DN2D7uPPc4G2VH2PHuBvYxd4h6/xt7Cav+F3fiC kigVbRraLJpLdnJQOVUhkmVUR6uplTx0DW2iIIXgF4+Nt330BHz6Jb2hRKlESufoPF2gC4IObQra VLRCYY4wH22xsBJZXQ/vNwnXCX3CbcIjaO+jnUE7K0piIdpi0St2ibvF0+I7mkuRJ7/mgHahtlLb qN2OfKXpFuib9W9iN4jpWRbLRpsb3eWFbBEysIJdztaxEAsjDzeyW5HTB1k/Yn9Bifkke5V9iKj/ pkRtJCNlUDY/D1RE66iJroq2AGINKvlXY32AHsAePEhHEfELdAztnJAh5CCyW9BwlqKNR/IPkYkZ SssUM8Wp4jSxQGxGTHvEu8UPNaQxajI1WYhth6ZHc0DzgOaE5qTmU82nWgEtHbu5ULsO0e7Q9mlv 196jfUobQdQTdBvQ9ijtXf1qvVd/k/52/S8MLK5VsYP4rvC7SvznKeailfQuy+enVb+aHaJzzKX3 4my+wL4QRXZUXMyu1W3QELwrNFRp+3Qb2G5hmq5a/6amnC4RalkWyWwF1bEXScNOshxWyeqx0kfI 80m0emCdLk3TwP5kYOI74umYR2ImnRXK6CphQLNek6ldx0+DEvMDiIk0axDhQgoKZ3CHOcL+KtZU lM0vK3bYbfPmzikqLMifPWtm3ozp1mkWaeqUyZNyJ+ZkZ2VmpE9ISzWbUpKNSYkJBr1OqxEFYoU1 1iXNUiSvOaLJsy5bVsR5qxMCZ5ygOSJBtGS8TkTi85wYGqdZAc3WizQrVM2KUU0yS4vYoqJCqcYq RU5XW6VBuqq+EfS+amuTFDmr0CsVWpOnMMlgLBbMkGqy26ulCDVLNZElm9t7a5qriwqpPymxylol JxYVsv7EJJBJoCJLrIF+WlJOCiEsqVnYLzBDMmKMrLBW10SWWzEVZsQZNU53pK6+saY612JpKiqM UJXL2hJh1sqIqUBRYVXKMhFdVUSvLCN5IgiH7ZH6C4/37h00s5bmAqPb6naub4yITtioiaQWRJZa qyNLt57JLiocpIcbGiMJVYPEGhqPsBUjPf3Le6qrm/hqaVWNNyvqWVDP2nomV+ytyfZIEbC9vTdL kQP1jdxYbNTCdZqaYLSosHZVowVeW2v2SjyMVY1KBDBK2XPhOJfxMNWAZWsNlzRfI0USrJXW9t5r mrFZE3sjbFW35fDEFRVHRv7MVtRIvQ2NVkvkslxrk7N6Un86613VPbC8Qlo+fqSosN+cqma6P8UU JYzJ8YSMXVDHFEpR5xS8jqWauEfW5ZEKnDGXBE8arRFhxnzeyfNZr2s+dgSfJkJGPchfc695IaKL aGeYrVLveYaDYD37j/ESZ1Sim2E+z/ggPy6jRy5CzhgdKSiI5Ofzk6KvwtbCs3KFLykq3ByptQbM UqQWKWN1jZjUtHAuUm6x8F3eM1jBWsBEeuobVV5iLXjmrJhb0BQRmvnI8dhIxho+0hMbGZ3ebMVx fhqXYsYyIoa80T+TOXNCTfvCCGV+z7CsjuPrUyP1a7Qzeusa85y9e3Lzmnv3NuFUL8G3urd3iVVa 0tvc6xwc6WmxSmZrb39tbW+gBt9GNaTBkeN7ciMVe5vaCUmNONRsRCZUNYq5Aj+ZoIRcsakIjwc9 eKzswU1fxK3DWmHS95Cmh57EU/cA0w6IR+gDxuYOnzWfZZedQ2+b50i1pM6wpFp6RDbUI7Bhpj31 1fwezSn+oHwIz26dsJWEm1A+azg8+7r8o8Jili3kVSRknBK3JUyWrps6KNRUJJpOJbC0Hbq9bPKg MOuZnPMzps+eelSYxaYLFYeNO9jcoQufLzIvGjpjHsLCQxeGFpmHhi58jeUnmJlFYqlKH0/PSE3P zMrKsJSU2UtLUovzZs4sOUT9uGU7qH/4yuHTaFe6aAslonUN3zJ8AW23cCq7vnJ4xor67Oz6Fbjo xunyuVxlbMq7Q+IVORoqL6ecVcIihbw45mmsumKCNOmtqT1KtNk9PMxJO6RB4bLnlGinPZp9lG5j k4XKWJRneWA8xk9AXH8h++yC746RSksnlFlKLBlM/Nex0R2Ttn+yalgQ1g1vn/CvYhtKuPfPVLRp d8uwcfg5/OqL28kp7Kr+nMzFiUI+7nkl+J2TAioZu2qkksNiTuZRZWDhc9hdhv3M4bs4RVg6kDYh JQt7e3jCJ9hNvpkXzvBDdHZoGHv59Tkz8PhISZtRZs/MSE3X6bGN1pnT8r65g+Ky4QeNmy2ztwqU tKxk0sVhidmZayh96dCHK3L19fXi9JpxkeSzrc8IM2eZcia/JNSwSfRTZoXvOVQyAN9NRyHjISWw GYPC0sOZ+5IH6WRFhm7mrMz8QtNlpitNG01+0w7TfSa96UVhKc73ZGEZZugGELV78tyzQ2cWfbIh NW3BAvPQ559EN/Tc5+e4ZN/4SLXYw9KystKy0pLiPOs0xOvgjMOeka7X6/Tf2Ft6VvAPLzW0lqQt eXngzoqblzYImhzboqefzbvPfnEKdj9Vc+UsU8Hmuzf35uQcz2o0TR3ou9uye++4TJSy7v6M2YNC /tP5+aaJUxabEftkbOl05GMiNllkpTwbkMyDxEQlz/LdzUjLHxQsh6fsM+I0WHF5y0MaspCEIuA0 WhlNxNDQJ5/jMJ85k7aAbzdSYOYd8jB3+KLDrc3MdODrim/rNzNhtWY4pIx0nXXaTHyZrd9MygfF 22sffsm37uF771vcU95Euhx76YGvSyvI2LqqvHSiVmi4ODe3mVNv39nYm3npwWsD6RnHshuTJz50 qP6NhtYpyXXZjPErtlb/ZPnvAv0bTYvOs1wDBIw99Fz6AMenbilfw9hwneFj3TGwRkVfmaU7Noxi QAJ+uo68afg4KudT1M9H+F3aw0nN2wyPpoBytsKQD8gB5LEVmLlfP8T2G55gh8Q/shPaO9ghDvpp Kv4+OsHMDhlOqrpcn4Mi2wrbAK0MGwD97RfBLeDjQJPFToyDu9ghTRwovsxm+3USfI2uM4otsMUh KjccZgeQowKdkW3QFbA68X22VpPELhWbWa74FVuAHORcBHXgRyFm538db4KPAO0hFXS7gYsBPNex GP5NrOwj9lKYwg4JZ5Ar//fb+Hf1Yn4IAdj9GufhZvj3DGxjjYtBsblzbH3tl9AFaC5VIWZLb6Fd Ufq3wBwQL5mB/xqVf0/81ALdesBlgDmAyZjzFeA9wCuAo4DDgMcBDwL2A74A/B3wJ8DbgJOAi9d4 QpVxPxRfYuNRH8kEOeDieaO60Isfp+u176u62Ja8/7PtABttKDDEWoDOCzf9f1OunR/hB7uJNbMU 3LPMLJ0tQNn5U81GlAX5FXoSrR29wqLgHKUJz5wxWmB6/ATnuvz5bEyuiaO1uH6fjuroWCL7Q5TW oyz2MWYxjQ6roxCi0HruCVkUGgVn2ku2KE0sc5QW8Gj0YlQuxsk1cbQWD8OvRXV0LF1Q10qAx27h C0WeyNcVr1boJL6u6FFoY5zcDDolqjMBdJrYreikKzp7FHrymL4hc4w2xtk3Rm2u8/ja3ICQZJfc csjT5pPdUku3VOlpk73+LVKetMzv7ZBD0nKfa47U6g9KKz2uoD/kbw1LVf5gwB90hj1+3xwwge6g p609LD0m2RYssH+XXp0zPEeqk33uOdJir1daxaeEpFVySA5uliFUZs8rggmb1NAdkKXVfm8nXyJU qPrwbbNWyW2dXmdwrRwMQVMqmTPPMRqYfZSSPCHJKYWDTrfc4Qxukvyt3+Ekqo9+FkQV0omq/2pU zpyQuNEH0a9jHnBtoFQcYhIOjgReRpXNgxEfKDckLawbfaUik2HJz7aAzwMsA+2FfT5DQg3Vhyrl HFCtyroSW4k5Lqzmx7gf0jDGqpSxgNI7IfGA8imz+EgAawWVldoV7ccww4avzwLFt//MXh0iDSuW 6+Ahj5z7thgee4FXja7CfV+lxCBj7c1K1FxzbO15rCjqhQ3yBvgYgJaEnPL4O0ejCLFCSMfy8O+u xVdvgx2vsjdrwQWVPeCZkVgJ/J6Hmvk3d8z+LTIJcfGInIAw7DiVHeVnIMg2Qcb34T/bmSswJ3aK ZNS1Yxw/VZ5x50o9WWMaXnxplc/IfHjxbZ+P8FZLJA1pSUd6MlACftsmoXqbTClkIjNq12k0gdJR zc2kLFR0c2gi5dIkmoxq/lSSUJmfRlaaTjNQoZ+Jau9syqcCKkTVdw7q3fPIptS8i6mESqkM9f8F tJAuoUV0Kergl1EFLUZdv4qqqQY18aWoii+nFVRLl6OyegVdiRp5Pa1CnbyB1tBa1JEblUry1bSe NtAPaCMqN05qIRe5SUYtvQ3VfbWe7qUO8pGfAnStUlsPUydtxs/wLuqmrbSNrqPraTvtoB7aST+k G+hG2kU30c10C+1W3jHsRQ3+R3Qr9dFtdDv9mPbTT+indAfdST+ju+hu+jndQ/fSfXh/cL9Svz5I D9HD9Ag9So/RL+hx1O8P0ZP0FEVQAjhMA/Q0PYP3DM/RIB1Bpft5VLpfxDuHY3ScXqZXUOn/FZ2g k/RrOkWv0m/oNXqdTqP6/ya9Rb+lt+l39A6qyr+n9+h9+gN9QB/SR/RHHV6gBtptKrJHkTYUcLpk Y0D2tTi93oDf4wsngWn1d/rCTo9P2xLsDLXrXEFnt99nCrk8oZA/GPJ3hr0en5wS413tHq87lBCW vXKg3e+TE0G1O33ukBzWtnq8sk3De4V0JHAyLHeFbYYYNSqKDsKR6CAodRCEI8Hl9QRa/M6g24Ar aajd5fTptnh8bv8WfYff5wn7g/pAEP7LQbHV2SW43MlhZ0B2OYPhoMfdJhs7/J0h2dbSGQ77fSrj UJmkcHtnR0uL07WpM2Acpd1bfIk8iEDY2xq2JahkMGxLHhWGvG6bMSbnjDLU4tqEKXJrOIUPKZxy d4pqwhhUk+KmRU13BmzR9bByzG5nYNRuIAw555S5il24O7oGBqNGlTnR1dQpiichvL92unmU2i5+ E9K62mXXJkOLv0thOaFINFyi512L1613eYIur9yVGMUQGQJBf7unxYNzEiUgNDk7ArgFImBP2Ol1 dxhHeQwmjzJQCKXEc+6OJGXHgv4Wp68tOY52d5jiOD5xlMczAxbqSG7pdHtlZ2uL3+v2yeO4LfFc aDwnJ27G2eUTcVBHyS2jZCiOlDVb5aBfxJEWw1v82nB7UJY1+G4EcaA3y2LI06UNyZtln1bmDxMa HwyLYdmn57M8vs06TOQIc4EMynQQem5BwTDCx2GHjyumOKFY4wrcIFeATSAx1OkzdPj9vtZOrzdZ ITx4WX4tDjjOs9/ndapMgssZ8IQ7vZ0dWv7AFDIoPTYiAf6E2z3BcHcCXFIpHH4EpdKJ3LEYCd+i unAvqqt4GKUVJ6PK3M+oMlxVKSNyjNREmfAW2RszmHRtp8cbDl3b6QzKKXE0j1g9Z7YodkRxSRSX aZG3NpvSO5S+ROnLkrhc/Tbb4miHXl3FFsUxviTKl/HDbuNdCe9KeVeWiC5qaoy0j5GOBCiEncE2 OWwItvs7WjpDthhhjxGOGFGSoOj4cVE1KlTUdDxjj2ccSYpadAGvf6vsa5NthihhjxGOGFGSFB3i SyRHaXWRlJDc4VEzyi9IxjE2GM90BpLHRnDFSFST5sLmqb50hjidDPthZ5vfZxvH2TmHf8bpGh2K McqIwe9SJ8UIO+4mOJQ2FUU5h8oVq6hERaUqKhO6bEKXXehyCF3FQleJ0FUqdJWp3oRwtfeENtnG cfZxnGMcVzyOKxnHlSqOx0zGM/Z4xhHPFMczJfFMqZFHPmotjrHHjzjimeJ4pgS3OU8I58AWI3AL 5KnjolHKkahsiyIcIx0GbIg6N0o4ElQP+NwY5Uhy+924QyqKcbQ9tmDx6DLFY7aLY7aL46YUa1yd oYCWdzZNl9sfToHz/FBEE1BhZEuW4HEyLdVQsQwvaB84vMwONENFVhVNU5FFRZKKpqhokopyVZRd cTXmXwCcB/wT8AbgVcAzgAEA1+sHPAo4CLgNsBuwC7AD0A3wAdyAjYANgKsAjYBBul9d5oCK7lHR 3SqarKKJKspRUVbF5Zj4OeAtwJuA04DXAa8BfgM4BXga8AjgIcCdgD7AjYCdgB7A+mX2vIS8hLK+ l+g0fp33UY3SixVV+r5P9X3v6fvu0Pdt1fdt0ffJ+j6nvm+dvm+NfrphmkEyTDFMMkw0ZBsyDemG NIPZkGIwGhINBoPOoDEI/D8BIhPEWqF2dSXVRo67WG2LFLmw2jpIifVXRbTWSoqk1bLahsrsI4z0 x3fty4zML4gItyhvmAdppJ/oR7ty+ctljNPIrn25UdzUxAq++ckeJ6qt615sYlPpQUQzFf++wPt8 pc9T+qlMr+jXruZ6fYpen6LXp+j1Edfro5heNh2uY/Za557myd+2uLo2jXPhWxiq8fBk1DX2G1hl U9V6FQ8ISYmIsjnX0lSZaQ6UKyFfYsnennsU/x/2KEvCO1kjXuUnA3g2ihYXLeZDKLfzoRT+lj86 lL39EkvuUXo0OmSGOBWJ/m/yeguSCmVuZHN0cmVhbQplbmRvYmoKMzcgMCBvYmoKNTg5MgplbmRv YmoKMzggMCBvYmoKKEZpZ3VyZTIpCmVuZG9iagozOSAwIG9iagooTWFjIE9TIFggMTAuNy41IFF1 YXJ0eiBQREZDb250ZXh0KQplbmRvYmoKNDAgMCBvYmoKKEFkb2JlIElsbHVzdHJhdG9yIENTMykK ZW5kb2JqCjQxIDAgb2JqCihEOjIwMTMwMzE2MTkzNDMwWjAwJzAwJykKZW5kb2JqCjEgMCBvYmoK PDwgL1RpdGxlIDM4IDAgUiAvUHJvZHVjZXIgMzkgMCBSIC9DcmVhdG9yIDQwIDAgUiAvQ3JlYXRp b25EYXRlIDQxIDAgUiAvTW9kRGF0ZQo0MSAwIFIgPj4KZW5kb2JqCnhyZWYKMCA0MgowMDAwMDAw MDAwIDY1NTM1IGYgCjAwMDAwMTg2MzEgMDAwMDAgbiAKMDAwMDAwMzI5NSAwMDAwMCBuIAowMDAw MDA2NjE0IDAwMDAwIG4gCjAwMDAwMDAwMjIgMDAwMDAgbiAKMDAwMDAwMzI3NSAwMDAwMCBuIAow MDAwMDAzNTI5IDAwMDAwIG4gCjAwMDAwMDY1NzggMDAwMDAgbiAKMDAwMDAwOTY2NyAwMDAwMCBu IAowMDAwMDA2NzQ3IDAwMDAwIG4gCjAwMDAwMTE0NzEgMDAwMDAgbiAKMDAwMDAwMzY5OSAwMDAw MCBuIAowMDAwMDAzNzQ1IDAwMDAwIG4gCjAwMDAwMDM3OTQgMDAwMDAgbiAKMDAwMDAwMzg0MiAw MDAwMCBuIAowMDAwMDA2NTU3IDAwMDAwIG4gCjAwMDAwMDY2OTcgMDAwMDAgbiAKMDAwMDAwNzE5 MiAwMDAwMCBuIAowMDAwMDA2ODg4IDAwMDAwIG4gCjAwMDAwMDcxNzIgMDAwMDAgbiAKMDAwMDAw NzM5MSAwMDAwMCBuIAowMDAwMDA3NDU3IDAwMDAwIG4gCjAwMDAwMDc2ODEgMDAwMDAgbiAKMDAw MDAwOTY0NiAwMDAwMCBuIAowMDAwMDEwMTE5IDAwMDAwIG4gCjAwMDAwMDk4MTUgMDAwMDAgbiAK MDAwMDAxMDA5OSAwMDAwMCBuIAowMDAwMDEwMzI1IDAwMDAwIG4gCjAwMDAwMTAzNTkgMDAwMDAg biAKMDAwMDAxMDU5MSAwMDAwMCBuIAowMDAwMDExNDUxIDAwMDAwIG4gCjAwMDAwMTE5NzkgMDAw MDAgbiAKMDAwMDAxMTYxNiAwMDAwMCBuIAowMDAwMDExOTU5IDAwMDAwIG4gCjAwMDAwMTIxODEg MDAwMDAgbiAKMDAwMDAxMjIzMSAwMDAwMCBuIAowMDAwMDEyNDY3IDAwMDAwIG4gCjAwMDAwMTg0 NTAgMDAwMDAgbiAKMDAwMDAxODQ3MSAwMDAwMCBuIAowMDAwMDE4NDk3IDAwMDAwIG4gCjAwMDAw MTg1NDkgMDAwMDAgbiAKMDAwMDAxODU4OSAwMDAwMCBuIAp0cmFpbGVyCjw8IC9TaXplIDQyIC9S b290IDE2IDAgUiAvSW5mbyAxIDAgUiAvSUQgWyA8N2Q3NmQ2YmVkZmMxNDQ0N2RmMDU4OTIyZjdh NzZlZmQ+Cjw3ZDc2ZDZiZWRmYzE0NDQ3ZGYwNTg5MjJmN2E3NmVmZD4gXSA+PgpzdGFydHhyZWYK MTg3MzYKJSVFT0YK --_005_6F107876A87FE947B3AF7BF55F482CFB0F7E6F2Bevcspmbx1adsnor_--


This message came from the mail archive
/var/www/postings/2013/
maintained by:
DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University