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Titlebook: Infectious Diseases from Nature: Mechanisms of Viral Emergence and Persistence; C. J. Peters,Charles H. Calisher Conference proceedings 20

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发表于 2025-3-21 16:28:47 | 显示全部楼层 |阅读模式
书目名称Infectious Diseases from Nature: Mechanisms of Viral Emergence and Persistence
编辑C. J. Peters,Charles H. Calisher
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图书封面Titlebook: Infectious Diseases from Nature: Mechanisms of Viral Emergence and Persistence;  C. J. Peters,Charles H. Calisher Conference proceedings 20
描述.Significant zoonotic diseases have appeared with increasing frequency in recent years. At a symposium held in Galveston, Texas, in March 2004, many outstanding virologists and others presented papers under the broad theme of "emergence". The intent was to elucidate the diseases themselves, the mechanisms by which they have emerged, the publication perception and response to the diseases, and the possibility of prevention or prediction. The papers in this book summarize the talks of this meeting. Among the many timely papers are those by Nobel Prize winner Peter Doherty, influenza epidemiologists Robert Webster and Jeffery Taubenberger, and important contributions by Neal Nathanson, Esteban Domingo, Barry Beaty, David Walker, James Hughes, and others of world expertise..
出版日期Conference proceedings 2005
关键词HIV; Public Health; disease emergence; infections; infectious disease
版次1
doihttps://doi.org/10.1007/3-211-29981-5
isbn_softcover978-3-211-24334-3
isbn_ebook978-3-211-29981-4
copyrightSpringer-Verlag Vienna 2005
The information of publication is updating

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N. Nathanson costs. Database covers all available data derived from usage, maintenance, accidents and failures as well as natural environment. Novelty of the presented approach is linking data from various fields of operation (Man-Engineering-Environment) and sharing it among two opponents: manufacturer and ope
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S. C. Weavertive graph coloring problem and obtained Pareto fronts. Empirical results show that proposed evolutionary algorithm with simple Multipoint Guided Crossover generates superior or (near-) equal solutions in comparison with the adapted heuristic solutions as well as with evolutionary algorithm solution
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J. N. Millsated Pheneto-Genetic Algorithm (IPGA), wherein the genetic algorithm is used to process genotypic information and the phenomic algorithm is used to process phenotypic information, thereby providing a holistic approach which completes the evolutionary cycle. We apply this novel evolutionary algorithm
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J. K. Taubenberger M.D., Ph.D. used to illustrate the potential benefits of the power control protocols. Our work at the routing layer is motivated by the difficulty in implementing on-demand routing protocols for ad-hoc networks in, common operating systems. It provides an API and its implementation in Linux as a user-space lib
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