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Titlebook: Iron and Steamship Archaeology; Success and Failure Michael McCarthy Book 2002 Springer Science+Business Media New York 2002 SS Xantho.exc

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楼主: bradycardia
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s has become a major item of research, which in turn has prompted new approaches and philosophy. Though basically an empirical science, epidemiology has of necessity veered towards mathematical methods and modeling. The growing importance of epidemiology was acknowledged by the organizers of the 2nd
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ng mathematical models to understand infectious disease, dynamics has a very richhistory in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics: Models and D
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ng mathematical models to understand infectious disease, dynamics has a very richhistory in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics: Models and D
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d control. Using mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics
发表于 2025-3-24 18:26:08 | 显示全部楼层
d control. Using mathematical models to understand infectious disease dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of .Epidemics
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al concepts for root growth (Bowen and Rovira, 1976; Huisman, 1982). But the distinction is not rigid. Undoubtedly, many of the standard analytical techniques and models of plant disease epidemiology, discussed elsewhere in this volume, are equally applicable to subterranean as to aerial systems. Si
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al concepts for root growth (Bowen and Rovira, 1976; Huisman, 1982). But the distinction is not rigid. Undoubtedly, many of the standard analytical techniques and models of plant disease epidemiology, discussed elsewhere in this volume, are equally applicable to subterranean as to aerial systems. Si
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