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Titlebook: Killer Cell Dynamics; Mathematical and Com Dominik Wodarz Book 2007 Springer-Verlag New York 2007 HIV.Immune System.Immunity.Viruses.biolog

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发表于 2025-3-21 19:44:38 | 显示全部楼层 |阅读模式
书目名称Killer Cell Dynamics
副标题Mathematical and Com
编辑Dominik Wodarz
视频videohttp://file.papertrans.cn/543/542717/542717.mp4
概述Prominent area of research in the biomedical community.Review of mathematical and computational approaches used to help understand how killer T cell responses work to fight viral infections.Chapter su
丛书名称Interdisciplinary Applied Mathematics
图书封面Titlebook: Killer Cell Dynamics; Mathematical and Com Dominik Wodarz Book 2007 Springer-Verlag New York 2007 HIV.Immune System.Immunity.Viruses.biolog
描述Systems biology and computational biology have recently become prominent areas of research in the biomedical community, especially in the area of cell biology. Given that much information on genes and their protein products has become available, the big question is how the individual components interact and work together, and how this determines the functioning of cells, organs, and organisms. Long before the popularity of systems biology in biomedicine, however, such approaches have been used successfully in a di?erent area of biology: population ecology. Research in the area of population dynamics - vestigated complex interactions between di?erent populations of organisms, such as the dynamics of competition and predation, food webs, community structure, as well as the epidemiology of infectious diseases. In this ?eld, t- oretical biology and mathematical modeling have become an integral part of research. Mathematical models allowed people to obtain interesting and counter-intuitive insights into how complex interactions among di?erent p- ulations can play out. Such mathematical studies not only gave rise to - teresting theoretical ideas, but also provided the basis for the desig
出版日期Book 2007
关键词HIV; Immune System; Immunity; Viruses; biology; ecology; evolution; evolutionary biology; homeostasis; infect
版次1
doihttps://doi.org/10.1007/978-0-387-68733-9
isbn_softcover978-1-4419-2165-9
isbn_ebook978-0-387-68733-9Series ISSN 0939-6047 Series E-ISSN 2196-9973
issn_series 0939-6047
copyrightSpringer-Verlag New York 2007
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ons and crisp discrete/continuous distributions. Other new results are: (1) two chapters on fuzzy ANOVA (one-way and two-way); (2) random fuzzy numbers with applications to fuzzy Monte Carlo studies; and (3) a fuzzy nonparametric estimator for the median.978-3-642-06809-6978-3-540-33190-2Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Informationssysteme kann generell als ein Rahmenkonzept verstanden werden, dem eine entsprechende Softwareentwicklung folgen soll. Interpretiert als Entwicklungsparadigma dient es speziell in dieser Arbeit als eine Ausgangsbasis, anhand derer in den nachfolgenden Kapiteln die genannte Unschärfeprob
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Realität sichergestellt werden können, sollte die bearbeitende Forschungsgruppe über Kontakte zur Unternehmenspraxis verfügen. In diesem Fall kann die Untersuchung in enger Zusammenarbeit mit Industrieunternehmen erfolgen, welche der formulierten Problemdomäne angehören. Auf diese Weise können Konze
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itional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like “tall”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e
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itional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like “tall”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e
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itional logic and make them a universal communication medium. Hence language heavily depends on quantifying constructions. These often involve fuzzy concepts like “tall”, and they frequently refer to fuzzy quantities in agreement like “about ten”, “almost all”, “many” etc. In order to exploit this e
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Viruses and Immune Responses: A Dynamical View,d the immune system can be viewed as an ecological system within the body of an organism. Specifically, the area of population ecology or population dynamics has relevance. Several species of immune cells interact with populations of pathogens in various ways. Two especially important population dyn
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CTL Memory,clearance. Upon reinfection with the same pathogen (secondary infection or rechallenge), this population of memory cells can react more efficiently against the invading virus compared to a naive host. Consequently, the host suffers less or no pathology. Memory is found in all adaptive branches of th
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