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  <id>1372296</id>
  <name><![CDATA[Martin Beckerman]]></name>
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  <id type="integer">3232028</id>
  <isbn>0387221301</isbn>
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  <title>
    <![CDATA[Molecular and Cellular Signaling]]>
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    <![CDATA[<p>The text is aimed at a broad audience of students and other individuals interested in furthering their understanding of how cells regulate and coordinate their core activities. Malfunction in the control layer is responsible for a host of human disorders ranging from neurological disorders to cancers. Most drugs target components in the control layer, and difficulties in drug design are intimately related to the architecture of the control layer. This book will be useful to students and individuals in medicine and pharmacology interested in broadening their understanding of how the control layer works. To further that goal, there are chapters on cancers and apoptosis, and on bacteria and viruses. In those chapters not specifically devoted to pathogens, connections between diseases, drugs and signaling are made. </p> <p>The audience for this book includes students in chemistry, physics and computer science who intend to work in biological and medical physics, and bioinformatics and systems biology. The first five chapters of the book are mainly background and review chapters. Signaling in the immune, endocrine (hormonal) and nervous systems is covered along with cancer, apoptosis and gene regulation.</p>]]>
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        <name><![CDATA[Martin Beckerman]]></name>
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  </authors>  <published>2005</published>
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  <id type="integer">3708506</id>
  <isbn>0471012874</isbn>
  <isbn13>9780471012870</isbn13>
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  <title>
    <![CDATA[Adaptive Cooperative Systems]]>
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    <![CDATA[A fully integrated, up-to-date exploration of self-organizing processes<p>Our understanding of self-organizing cooperative systems is advancing by leaps and bounds, shedding new light on the nature of life and human consciousness, while offering solutions to a wide range of technical problems. Martin Beckerman, a researcher working at Oak Ridge National Laboratory, has written this book in an effort to help researchers working in such far-flung fields as signal processing, neuroscience, and robotics stay abreast of the latest advances in adaptive cooperative systems.<p>Adaptive Cooperative Systems &lt;ul&gt;&lt;li&gt;Clearly explains the statistical physics behind the latest adaptive cooperative models and methods &lt;li&gt;Describes sophisticated probabilistic methods and shows how they can be used to develop algorithms for solving problems in various research domains &lt;li&gt;Describes important recent findings on self-organizing cooperative behavior in biological systems &lt;li&gt;Provides examples drawn from geoscience, astrophysics, image processing, robotics, AI, and other disciplines &lt;li&gt;Presents a rigorous theory of cooperative computation as applied to problems in perceptual inferencing<p>MARTIN BECKERMAN, PhD, is a member of the scientific research staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory in Oak Ridge, Tennessee.</p></p></p>]]>
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    <author>
    <id>1372296</id>
        <name><![CDATA[Martin Beckerman]]></name>
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  </authors>  <published>1997</published>
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