ÿþ<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:st1="urn:schemas-microsoft-com:office:smarttags" xmlns="http://www.w3.org/TR/REC-html40" xmlns:ns1="http://schemas.microsoft.com/office/2004/12/omml" xmlns:ns2="http://macVmlSchemaUri"> <head> <meta http-equiv=Content-Type content="text/html; charset=unicode"> <meta name=ProgId content=Word.Document> <meta name=Generator content="Microsoft Word 11"> <meta name=Originator content="Microsoft Word 11"> <link rel=File-List href="s_publications_files/filelist.xml"> <link rel=Edit-Time-Data href="s_publications_files/editdata.mso"> <!--[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]--> <title>Publications</title> <o:SmartTagType namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="place"/> <o:SmartTagType namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="State"/> <o:SmartTagType namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="City"/> <!--[if gte mso 9]><xml> <o:DocumentProperties> <o:Author>Mark Kon</o:Author> <o:Template>Normal</o:Template> <o:LastAuthor>Mark Kon</o:LastAuthor> <o:Revision>14</o:Revision> <o:TotalTime>105</o:TotalTime> <o:Created>2011-03-21T14:02:00Z</o:Created> <o:LastSaved>2011-05-25T23:00:00Z</o:LastSaved> <o:Pages>1</o:Pages> <o:Words>1469</o:Words> <o:Characters>8377</o:Characters> <o:Company>Boston University</o:Company> <o:Lines>69</o:Lines> <o:Paragraphs>19</o:Paragraphs> <o:CharactersWithSpaces>9827</o:CharactersWithSpaces> <o:Version>11.9999</o:Version> </o:DocumentProperties> <o:OfficeDocumentSettings> <o:AllowPNG/> </o:OfficeDocumentSettings> </xml><![endif]--><!--[if gte mso 9]><xml> <w:WordDocument> <w:Zoom>120</w:Zoom> <w:SpellingState>Clean</w:SpellingState> <w:GrammarState>Clean</w:GrammarState> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:UseFELayout/> <w:SplitPgBreakAndParaMark/> </w:Compatibility> <w:DocumentVariables> <w:dgnword-docGUID>{9FF1D6D5-C4CE-4CE0-870B-23BDC2985CD1}</w:dgnword-docGUID> <w:dgnword-eventsink>21411440</w:dgnword-eventsink> </w:DocumentVariables> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> <w:TrackMoves>false</w:TrackMoves> <w:TrackFormatting/> <w:DoNotPromoteQF/> <w:LidThemeOther>EN-US</w:LidThemeOther> <w:LidThemeAsian>X-NONE</w:LidThemeAsian> <w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript> <m:mathPr> <m:mathFont m:val="Cambria Math"/> <m:brkBin m:val="before"/> <m:brkBinSub m:val="--"/> <m:smallFrac m:val="off"/> <m:dispDef/> <m:lMargin m:val="0"/> <m:rMargin m:val="0"/> <m:defJc m:val="centerGroup"/> <m:wrapIndent m:val="1440"/> <m:intLim m:val="subSup"/> <m:naryLim m:val="undOvr"/> </m:mathPr> <u1:mathPr> <u1:mathFont u1:val="Cambria Math"/> <u1:brkBin u1:val="before"/> <u1:brkBinSub u1:val="--"/> <u1:smallFrac u1:val="off"/> <u1:dispDef/> <u1:lMargin u1:val="0"/> <u1:rMargin u1:val="0"/> <u1:defJc u1:val="centerGroup"/> <u1:wrapIndent u1:val="1440"/> <u1:intLim u1:val="subSup"/> <u1:naryLim u1:val="undOvr"/> </u1:mathPr> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--><!--[if !mso]><object classid="clsid:38481807-CA0E-42D2-BF39-B33AF135CC4D" id=ieooui></object> <style> st1\:*{behavior:url(#ieooui) } </style> <![endif]--> <style> <!--p.MSONORMAL {mso-style-unhide:no; 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mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} </style> <![endif]--> <meta name=Title content=Publications> <meta name=Keywords content=""> <link rel=themeData href="s_publications_files/themedata.xml"> <!--[if gte mso 9]><xml> <o:shapedefaults v:ext="edit" spidmax="3074"/> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext="edit"> <o:idmap v:ext="edit" data="1"/> </o:shapelayout></xml><![endif]--> </head> <body bgcolor=white lang=EN-US link=blue vlink=blue style='tab-interval:.5in'> <div class=Section1> <p align=center style='text-align:center'><span style='mso-no-proof:yes'><!--[if gte vml 1]><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t" path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f"> <v:stroke joinstyle="miter"/> <v:formulas> <v:f eqn="if lineDrawn pixelLineWidth 0"/> <v:f eqn="sum @0 1 0"/> <v:f eqn="sum 0 0 @1"/> <v:f eqn="prod @2 1 2"/> <v:f eqn="prod @3 21600 pixelWidth"/> <v:f eqn="prod @3 21600 pixelHeight"/> <v:f eqn="sum @0 0 1"/> <v:f eqn="prod @6 1 2"/> <v:f eqn="prod @7 21600 pixelWidth"/> <v:f eqn="sum @8 21600 0"/> <v:f eqn="prod @7 21600 pixelHeight"/> <v:f eqn="sum @10 21600 0"/> </v:formulas> <v:path o:extrusionok="f" gradientshapeok="t" o:connecttype="rect"/> <o:lock v:ext="edit" aspectratio="t"/> </v:shapetype><v:shape id="Picture_x0020_21" o:spid="_x0000_i1025" type="#_x0000_t75" style='width:350.25pt;height:42.75pt;visibility:visible;mso-wrap-style:square'> <v:imagedata src="s_publications_files/image001.png" o:title=""/> </v:shape><![endif]--><![if !vml]><img width=467 height=57 src="s_publications_files/image001.png" v:shapes="Picture_x0020_21"><![endif]></span><span style='mso-spacerun:yes'> </span></p> <p align=center style='text-align:center'><span style='font-size:24.0pt; color:red'>Selected Online Publications</span></p> <p><b>Monograph:&nbsp; </b>&nbsp; <a href="../ptryfinal2.pdf">Probability Distributions in Quantum Statistical Mechanics</a> <a href="../ptryfinal2.pdf">(PDF)<br> </a></p> <p style='tab-stops:right 337.9pt'><b>Papers:&nbsp; </b>(Available as .<span class=SpellE>pdf</span> unless otherwise specified)</p> <p style='text-align:justify;text-justify:inter-ideograph;tab-stops:right 337.9pt'><a href="../sss.pdf">The Marr conjecture in one dimension and uniqueness of wavelet transforms</a> (with B. Allen), preprint, 2011.</p> <p style='tab-stops:right 337.9pt'><a href="../f7.pdf"><span class=GramE>Ensemble machine methods for analysis of transcription factor and DNA interactions</span></a><span class=GramE> (with Y. Fan and C. DeLisi), preprint, 2011.</span></p> <p style='tab-stops:right 337.9pt'><a href="../b7.pdf">Top scoring pairs for feature selection in machine learning with applications to cancer outcome prediction</a> <span style='mso-spacerun:yes'> </span>(with P. Shi, S. Ray and Q. Zhu), preprint, 2011.</p> <p style='tab-stops:right 337.9pt'><a href="../x7.pdf"><span class=GramE>Pathway-based classification of cancer subtypes</span></a><span class=GramE> (with S. Kim and C. DeLisi), preprint, 2011.</span></p> <p style='tab-stops:right 337.9pt'><a href="../q8.pdf"><span class=GramE>Regularization techniques for machine learning on graphs and networks with biological applications</span></a><span class=GramE> (with Y. Fan, S. Kim, L. Raphael, and C. DeLisi, Communications in Mathematical Analysis 8 (3; Special Volume in Honor of Peter Lax) (2010), 136-145.</span></p> <p style='tab-stops:right 337.9pt'><a href="../s8.pdf">Smoothing gene expression using biological networks</a> (with Y. Fan, S. Kim<span class=GramE>,<span style='mso-spacerun:yes'>  </span>and</span> C. DeLisi), to appear, <i style='mso-bidi-font-style:normal'>Machine Learning and Applications</i> <b style='mso-bidi-font-weight:normal'>9</b>, IEEE, <st1:place w:st="on"><st1:City w:st="on">Washington</st1:City> <st1:State w:st="on">DC</st1:State></st1:place>. (2010)</p> <p class=MsoNormal><a href="../J6A.pdf">A New Phylogenetic Diversity Measure Generalizing the Shannon Index</a> (with B. Allen and Y. Bar Yam<span class=GramE>,<span style='mso-spacerun:yes'>  </span><i>American</i></span><i> Naturalist </i><b>174</b> (2009),236-243.</p> <p class=MsoNormal><o:p>&nbsp;</o:p></p> <p class=MsoNormal><a href="../u7.pdf">Ensemble machine methods for DNA binding</a> (with Y. Fan, and C. DeLisi), <i>Machine Learning and Applications </i><b>7</b><span class=GramE>,<span style='mso-spacerun:yes'>  </span>M</span>. <span class=SpellE>Wani</span>, et al., eds.<span style='mso-spacerun:yes'>  </span>IEEE, Washington (2008),709-716.<span style='mso-spacerun:yes'>  </span><span class=GramE>Algorithm <a href="http://cagt10.bu.edu/SVMotif">available here</a>.</span></p> <p class=MsoNormal>&nbsp;</p> <p class=MsoNormal><a href="../g6.pdf"><span class=GramE>Regulatory analysis for exploring human disease progression</span></a><span class=GramE> (with D. Holloway and C. DeLisi), <i>Biology Direct</i> 3:24, 2008.</span> <span class=GramE>Algorithm <a href="http://cagt10.bu.edu/TFSVM/main.htm">available here</a>.</span></p> <p class=MsoNormal>&nbsp;</p> <p class=MsoNormal><a href="../c6.pdf">Building transcription factor classifiers and discovering relevant biological features</a><span class=GramE>,<span style='mso-spacerun:yes'>  </span>(</span>with D. Holloway and C. DeLisi), <span class=SpellE><i>BiologyDirect</i></span> 3:22, 30 May 2008. <span class=GramE>Algorithm <a href="http://cagt10.bu.edu/TFSVM/main.htm">available here</a>.</span></p> <p class=MsoNormal>&nbsp;</p> <p class=MsoNormal><a href="../O6.pdf"><span class=SpellE>SVMMotif</span>:<span style='mso-spacerun:yes'>  </span>A machine learning motif algorithm</a> (with Y. Fan, <span class=SpellE>D.Holloway</span> and C. DeLisi), <i>International Conference on Machine Learning and Applications</i> <b>6</b>, 573-580, IEEE, Washington, 2007. <span class=GramE>Algorithm <a href="http://cagt10.bu.edu/SVMotif">available here</a>.</span></p> <p class=MsoNormal>&nbsp;</p> <p class=MsoNormal><a href="../k6.pdf"><span class=GramE>Learning methods for DNA binding in computational biology</span></a><span class=GramE> (with D. Holloway, et al.)</span> International Joint Conference on Neural Networks,<span style='mso-spacerun:yes'>  </span><b>20</b>, IEEE, Los Alamitos 1605, 2007.</p> <p class=MsoNormal>&nbsp;</p> <p class=MsoNormal style='tab-stops:884.8pt'><a href="../t6.pdf"><span class=GramE>Machine learning for regulatory analysis and transcription factor target prediction in yeast</span></a><span class=GramE> (with D. Holloway and C. DeLisi), <i>Systems and Synthetic Biology</i> <b>1 </b>(2006), 25-46.</span> <span style='mso-tab-count:1'>                                                                                                              </span></p> <p class=MsoNormal style='tab-stops:884.8pt'>&nbsp;</p> <p class=MsoNormal><a href="../M510-1-05.pdf">Approximating functions in reproducing kernel Hilbert spaces via statistical learning theory</a> (with L. Raphael), in <span class=SpellE><i>Splines</i></span><i> and Wavelets</i>, G. Chen and M.J. Lai, <span class=SpellE><span class=GramE>eds</span></span>, (2006) 270-286</p> <p style='tab-stops:right 337.9pt'><a href="../p6Abstr.pdf">Machine learning methods for transcription data integration</a> (with D. Holloway and <span class=SpellE>C.DeLisi</span>)<span class=GramE>,<i>IBM</i></span><i> Journal of Research and Development </i>50(2006), 631-644 (Abstract only - Journal link is <a href="http://www.research.ibm.com/journal/rd/506/holloway.html">here</a>)</p> <p style='tab-stops:right 337.9pt'><a href="../rrrr3.pdf">Information-based nonlinear approximation:<span style='mso-spacerun:yes'>  </span>An average case setting</a> (with L. <span class=SpellE>Plaskota</span>)<span class=GramE>,<span style='mso-spacerun:yes'>  </span><i>J</i></span><i>. Complexity</i> <b>21 </b>(2005),211-228.</p> <p><a href="../V5Fin.pdf"><span class=GramE>Extending <span class=SpellE>Girosi's</span> approximation estimates for functions in <span class=SpellE>Sobolev</span> spaces via statistical learning theory</span></a><span class=GramE> (with L. Raphael and D. Williams), <i>J. Analysis and Applications</i><b> 3</b> No. 2 (2005), 67-90.</span></p> <p><a href="../B5Final.pdf"><span class=GramE>Statistical likelihood representations of prior knowledge in machine learning</span></a><span class=GramE> (with L, <span class=SpellE>Plaskota</span> and A. <span class=SpellE>Przybyszewski</span>), Artificial Intelligence and Applications, M.H. <span class=SpellE>Hamza</span>, Ed., <st1:place w:st="on"><st1:City w:st="on">Innsbruck</st1:City></st1:place> (2005), 467-472.</span></p> <p style='tab-stops:right 337.9pt'><a href="../K5Final.pdf">Integrating genomic data to predict transcription factor binding </a><span style='mso-spacerun:yes'> </span>(with D. Holloway and C. DeLisi), <i>Genome Informatics</i> <b>16 </b>(2005), 83-94.</p> <p class=MsoNormal style='mso-layout-grid-align:none;text-autospace:none'><a href="../D5Final.pdf"><span class=GramE>Machine learning and statistical MAP methods</span></a><span class=GramE> (with L. <span class=SpellE>Plaskota</span> and A. <span class=SpellE>Przybyszewski</span>), Intelligent Information Processing, Springer, <st1:place w:st="on"><st1:State w:st="on">Berlin</st1:State></st1:place> (2005), 441-445.</span></p> <p><a href="../zzzfinal1.pdf">On some integrated approaches to inference</a> (with L. <span class=SpellE>Plaskota</span>), technical report, <span class=GramE>(</span>2005).</p> <p><a href="../pppp14.pdf">Complexity of predictive neural networks</a> (with L. <span class=SpellE>Plaskota</span>) <i>Proceedings of International Conference on Complexity</i><span class=GramE>,<span style='mso-spacerun:yes'>  </span>Y</span>. Bar-Yam, Ed., <st1:place w:st="on"><st1:City w:st="on">Cambridge</st1:City>, <st1:State w:st="on">MA</st1:State></st1:place> (2003)<br> <a href="../pppp14.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1026" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../yyyy6.pdf"><span class=GramE>Sup-norm convergence rates of wavelet expansions in <span class=SpellE>Besov</span> Spaces</span></a><span class=GramE> (with L. Raphael), in <i>Applicable Mathematics </i>(2002), 193-203.</span><br> <a href="../yyyy6.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1027" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../wwww3.pdf"><span class=SpellE><span class=GramE>Pointwise</span></span><span class=GramE> wavelet convergence in <span class=SpellE>Besov</span> and uniformly local <span class=SpellE>Sobolev</span> Spaces </span></a><span class=GramE><span style='mso-spacerun:yes'> </span>(with L. Raphael), <i>J. Contemporary Math.</i></span><i> Analysis </i>36 (2002), 51-68.</p> <p><a href="../hhh12.pdf">Complexity of neural network approximation with limited information:<span style='mso-spacerun:yes'>  </span>a worst-case approach</a> (with L. <span class=SpellE>Plaskota</span>), <i>J. Complexity </i><b>17</b> (2001), 345-365.<br> <a href="../hhh12.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1028" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../ratfin23.pdf"><span class=GramE>Convergence rates of <span class=SpellE>multiscale</span> and wavelet expansions</span></a><span class=GramE> (with L. Raphael), in <i>Wavelet Transforms and Time-<span class=SpellE>FrequencySignal</span> Analysis</i>, American Mathematical Society CBMS Volume, <span class=SpellE>L.Debnath</span>, Ed. (2001), 37-65.</span><br> <a href="../ratfin.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1029" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../nrffin.pdf"><span class=GramE>A characterization of wavelet convergence in <span class=SpellE>Sobolev</span> spaces</span></a><span class=GramE> (with L. Raphael), <i>Applicable Analysis</i> <b>78</b> (2001), 271-324.</span><br> <a href="../nrffin.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1030" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../ssss7.pdf">Complexity of regularization RBF networks</a> (with L. <span class=SpellE>Plaskota</span>), in <i>Proceedings of International Joint Congress on Neural <span class=SpellE>Networks<span class=GramE>,<span style='font-style:normal'>INNS</span></span></span></i>, <st1:place w:st="on"><st1:State w:st="on">Washington</st1:State></st1:place> (2001), 342-346.</p> <p><a href="../kkk7.pdf"><span class=GramE>Review of <i>Complexity and Information</i></span></a><span class=GramE>, (by J.F. <span class=SpellE>Traub</span> and A.G. <span class=SpellE>Werschulz</span>), <i>Bull.</i></span><i> Amer. Math Soc.</i> <b>37</b> (2000), 199-204. </p> <p><a href="../nn30.pdf">Information complexity of neural networks </a>(with L. <span class=SpellE>Plaskota</span>), <i>Neural Networks </i><b>13 </b>(2000)<span class=GramE>,365</span>-376.<br> <a href="../nn17.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1031" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../www.pdf"><span class=GramE>Oscillation criteria for delay equations</span></a><span class=GramE> (with <span class=SpellE>Y.Sficas</span> and I. P. <span class=SpellE>Stavroulakis</span>), Proc. Am. Math.</span> Soc. 128 (2000), 2989-2997.<br> <a href="../www.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1032" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../nnpap3.pdf"><span class=GramE>Neural networks, radial basis functions, and complexity</span></a><span class=GramE> (with L. <span class=SpellE>Plaskota</span>), Proceedings of <span class=SpellE>Bialowieza</span> Conference on Statistical Physics, 1997, 122-145.</span><br> <a href="../nnpap3.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1033" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../smooth.pdf">Exact smoothing properties of Schrodinger <span class=SpellE>semigroups</span></a> (with A. <span class=SpellE>Gulisashvili</span>), <i>American J. Math.</i> 118 (1996), 1215-1248<br> <a href="../smooth.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1034" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../pointfin.pdf"><span class=SpellE>Pointwise</span> convergence of wavelet expansions</a> (with S. Kelly and L. Raphael), <i>Bull. Amer. Math. Soc.</i> 30 (1994), 87-94<br> <a href="../pointfin.ps"><span style='text-decoration:none;text-underline:none'><img border=0 width=48 height=32 id="_x0000_i1035" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p><a href="../pointwfin5.pdf"><span class=GramE>Local convergence of wavelet expansions</span></a><span class=GramE> (with S. Kelly and L. Raphael), <i>J. Functional Anal.</i></span> 126 (1994), 102-138<br> <a href="../pointwfin5.ps"><span style='text-decoration:none;text-underline: none'><img border=0 width=48 height=32 id="_x0000_i1036" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></span></a></p> <p>&nbsp; </p> <p>Logo - <span class=SpellE>ps</span> file format </p> <p><img border=0 width=48 height=32 id="_x0000_i1037" src="html/Macintosh%20HD:Users:markkon:C:W:BU:web:Kon:html:html:Macintosh%20HD/Users/markkon/C/W/BU/web/Kon/html/body_p1.gif"></p> <p>&nbsp; </p> </div> </body> </html>