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Titlebook: Mathematical Models for Biological Pattern Formation; Philip K. Maini,Hans G. Othmer Conference proceedings 2001 Springer-Verlag New York,

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书目名称Mathematical Models for Biological Pattern Formation
编辑Philip K. Maini,Hans G. Othmer
视频video
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Mathematical Models for Biological Pattern Formation;  Philip K. Maini,Hans G. Othmer Conference proceedings 2001 Springer-Verlag New York,
描述This 121st IMA volume, entitled MATHEMATICAL MODELS FOR BIOLOGICAL PATTERN FORMATION is the first of a new series called FRONTIERS IN APPLICATION OF MATHEMATICS. The FRONTIERS volumes are motivated by IMA pro­ grams and workshops, but are specially planned and written to provide an entree to and assessment of exciting new areas for the application of mathematical tools and analysis. The emphasis in FRONTIERS volumes is on surveys, exposition and outlook, to attract more mathematicians and other scientists to the study of these areas and to focus efforts on the most important issues, rather than papers on the most recent research results aimed at an audience of specialists. The present volume of peer-reviewed papers grew out of the 1998-99 IMA program on "Mathematics in Biology," in particular the Fall 1998 em­ phasis on "Theoretical Problems in Developmental Biology and Immunol­ ogy." During that period there were two workshops on Pattern Formation and Morphogenesis, organized by Professors Murray, Maini and Othmer. James Murray was one of the principal organizers for the entire year pro­ gram. I am very grateful to James Murray for providing an introduction, and to Philip Maini an
出版日期Conference proceedings 2001
关键词Biological Pattern Formation; Mathematical Biology; cells; gene expression; mathematical modeling; tissue
版次1
doihttps://doi.org/10.1007/978-1-4613-0133-2
isbn_softcover978-1-4612-6524-5
isbn_ebook978-1-4613-0133-2Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer-Verlag New York, Inc. 2001
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Computer Simulations of Mechanochemical Coupling in a Deforming Domain: Applications to Cell Motionproblems as well as for modeling signaling and mechanical interactions among many cells. The incorporation of this method into the existing mechanical model, as well as future implementation of the same method for modeling multicellular interactions, is discussed.
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J. D. Murray in granting approval for the food or the process, often with the involvement of the public. In some cases, the public involvement led to debate all the way to the parliament. This review will attempt to examine what has happened to this well studied technology, the status of its application and, mo
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K. J. Painteributions studied; (c) compare these parameters for different distributions, different territories, and different time frames; (d) measure, geographical discrepancy (“minimal distanceȁ0 between pairs of distributions synthetically; and 9e) obtain averaged values from many of these distances taken tog
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