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Titlebook: Mathematical Approaches to Problems in Resource Management and Epidemiology; Proceedings of a Con Carlos Castillo-Chavez,Simon A. Levin,Chr

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發(fā)表于 2025-3-23 12:48:37 | 只看該作者
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發(fā)表于 2025-3-23 14:16:37 | 只看該作者
Mathematical Modeling in Plant Biology: Implications of Physiological Approaches for Resource Manageest management is discussed. Finally, I review models for the spread of plant pathogens, and indicate how these may be modified to take account of the spatial nature of plant infection and the continuum of resistance types within a natural population.
13#
發(fā)表于 2025-3-23 21:06:41 | 只看該作者
A Distributed-Delay Model for the Local Population Dynamics of a Parasitoid-Host Systemthe parasitoids persist, and the equilibrium level of hosts can be forced to arbitrarily low values by extremely efficient parasitoids. The model is intended to describe the dynamics of a single patch in a system where host dispersal greatly exceeds parasitoid dispersal, and may have implications for biological control under these circumstances.
14#
發(fā)表于 2025-3-24 01:44:49 | 只看該作者
Conference proceedings 1989ource management and epidemiology especially have demonstrated the utility of quantitative modeling. To explore these approaches, the Center of Applied Mathematics at Cornell University organized a conference in Fall, 1987, with the objective of surveying and assessing the state of the art. This vol
15#
發(fā)表于 2025-3-24 04:01:52 | 只看該作者
Computer Models of Individual Living Cells in Cell Populations the population are important. We circumvent these computational problems by building highly structured models of individual cells and then using a finite-representation technique to model the whole population. Application of this technique to predicting protein production from recombinant DNA is described.
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發(fā)表于 2025-3-24 06:52:46 | 只看該作者
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發(fā)表于 2025-3-24 12:06:36 | 只看該作者
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發(fā)表于 2025-3-24 17:12:47 | 只看該作者
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發(fā)表于 2025-3-24 21:42:11 | 只看該作者
20#
發(fā)表于 2025-3-25 00:21:52 | 只看該作者
Wei-min Liusearchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work; a book that only he could write. It is a major gift to the world."..Rober
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