Results 281 to 290 of about 6,067,666 (328)
A Bayesian Semi-Mechanistic Framework for Modelling Antimicrobial Resistance
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2010
What are the mechanisms underlying biological systems’ ability to transform themselves: the ability of structures to replicate for their own goals, or to meet the specific goals of the system or environment to which they belong? What kind of evolutionary process underlies the emergence of the simple structures which joined together and replicated to ...
Eleonora Bilotta, Pietro Pantano
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What are the mechanisms underlying biological systems’ ability to transform themselves: the ability of structures to replicate for their own goals, or to meet the specific goals of the system or environment to which they belong? What kind of evolutionary process underlies the emergence of the simple structures which joined together and replicated to ...
Eleonora Bilotta, Pietro Pantano
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1990
Biological systems are complex systems, almost by definition. Thus models of such systems necessarily simplify. That even simple models can lead to very complicated behaviour leads us to re-examine the goal of mathematical modelling. We may distinguish two loose categories of model: the “pure” model whose end is the understanding of phenomena, and the “
M. Deakin
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Biological systems are complex systems, almost by definition. Thus models of such systems necessarily simplify. That even simple models can lead to very complicated behaviour leads us to re-examine the goal of mathematical modelling. We may distinguish two loose categories of model: the “pure” model whose end is the understanding of phenomena, and the “
M. Deakin
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Electronics and Power, 1971
Co-operation between control engineers and biologists can help in the understanding of both biological and control systems.
F.R. Janes, E.R. Carson
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Co-operation between control engineers and biologists can help in the understanding of both biological and control systems.
F.R. Janes, E.R. Carson
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Models of dispersal in biological systems
Journal of Mathematical Biology, 1988In order to provide a general framework within which the dispersal of cells or organisms can be studied, we introduce two stochastic processes that model the major modes of dispersal that are observed in nature. In the first type of movement, which we call the position jump or kangaroo process, the process comprises a sequence of alternating pauses and
Othmer, Hans G., Dunbar, S. R., Alt, W.
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Fuzzy Petri nets for modelling of uncertain biological systems
Briefings Bioinform., 2018The modelling of biological systems is accompanied with epistemic uncertainties that range from structural uncertainty to parametric uncertainty due to such limitations as insufficient understanding of the underlying mechanism and incomplete measurement ...
Fei Liu, M. Heiner, D. Gilbert
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ACM SIGSOFT Software Engineering Notes, 2005
In this paper we demonstrate the relevance of abstraction, reuse, objects, classes, component and inheritance hierarchies, multiplicity, visual modeling, and other current software development best practices. We show how it is possible to start with a direct diagrammatic representation of a biological structure such as a cell, using terminology ...
Manuj Darbari, Vipin Saxena
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In this paper we demonstrate the relevance of abstraction, reuse, objects, classes, component and inheritance hierarchies, multiplicity, visual modeling, and other current software development best practices. We show how it is possible to start with a direct diagrammatic representation of a biological structure such as a cell, using terminology ...
Manuj Darbari, Vipin Saxena
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Models of biological systems and biological processes
Pure and Applied Chemistry, 1994Abstract
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