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相关论文: A modeling approach of the chemostat

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We consider the modeling of the dynamics of the chemostat at its very source. The chemostat is classically represented as a system of ordinary differential equations. Our goal is to establish a stochastic model that is valid at the scale…

定量方法 · 定量生物学 2011-07-07 Fabien Campillo , Marc Joannides , Irène Larramendy

Compartmentalization of biochemical processes underlies all biological systems, from the organelle to the tissue scale. Theoretical models to study the interplay between noisy reaction dynamics and compartmentalization are sparse, and…

定量方法 · 定量生物学 2022-06-08 Lorenzo Duso , Christoph Zechner

Stochastic dynamics govern many important processes in cellular biology, and an underlying theoretical approach describing these dynamics is desirable to address a wealth of questions in biology and medicine. Mathematical tools exist for…

定量方法 · 定量生物学 2016-02-17 Iain G. Johnston , Nick S. Jones

A new stochastic control problem of population dynamics under partial observation is formulated and analyzed both mathematically and numerically, with an emphasis on environmental and ecological problems. The decision-maker can only…

最优化与控制 · 数学 2020-04-13 Hidekazu Yoshioka , Yuta Yaegashi , Motoh Tsujimura

We propose a model of chemostat where the bacterial population is individually-based, each bacterium is explicitly represented and has a mass evolving continuously over time. The substrate concentration is represented as a conventional…

概率论 · 数学 2013-11-08 Fabien Campillo , Coralie Fritsch

Traditionally, frequency dependent evolutionary dynamics is described by deterministic replicator dynamics assuming implicitly infinite population sizes. Only recently have stochastic processes been introduced to study evolutionary dynamics…

统计力学 · 物理学 2007-05-23 Arne Traulsen , Jens Christian Claussen , Christoph Hauert

We have developed a coarse-grained formulation for modeling the dynamic behavior of cells quantitatively, based on stochasticity and heterogeneity, rather than on biochemical reactions. We treat each reaction as a continuous-time stochastic…

分子网络 · 定量生物学 2015-05-28 Shunsuke Teraguchi , Yutaro Kumagai , Alexis Vandenbon , Shizuo Akira , Daron M Standley

Several theoretical frameworks have been proposed to explain observed biodiversity patterns, ranging from the classical niche-based theories, mainly employing a continuous formalism, to neutral theories, based on statistical mechanics of…

定量方法 · 定量生物学 2019-11-01 Xue Feng , Sara Bonetti , Amilcare Porporato

Exact generalized stochastic representation of deterministic interaction between two dynamical (quantum or classical) systems is derived which helps when considering one of them to replace another by equivalent commutative ($c$-number…

统计力学 · 物理学 2007-05-23 Yuriy E. Kuzovlev

We study the interplay of population growth and evolutionary dynamics using a stochastic model based on birth and death events. In contrast to the common assumption of an independent population size, evolution can be strongly affected by…

种群与进化 · 定量生物学 2012-06-05 Jonas Cremer , Anna Melbinger , Erwin Frey

We propose a general stochastic formalism for describing the evolution of chemical reactions involving a finite number of molecules. This approach is consistent with the statistical analysis based on the Chemical Master Equation, and…

统计力学 · 物理学 2023-01-13 Chiara Pezzotti , Massimiliano Giona

We introduce two stochastic chemostat models consisting in a coupled population-nutrient process reflecting the interaction between the nutrient and the bacterias in the chemostat with finite volume. The nutrient concentration evolves…

概率论 · 数学 2012-06-19 Pierre Collet , Servet Martinez , Sylvie Meleard , Jaime San Martin

We are interested in modeling some two-level population dynamics, resulting from the interplay of ecological interactions and phenotypic variation of individuals (or hosts) and the evolution of cells (or parasites) of two types living in…

概率论 · 数学 2011-01-21 Sylvie Méléard , Sylvie Roelly

Populations interact non-linearly and are influenced by environmental fluctuations. In order to have realistic mathematical models, one needs to take into account that the environmental fluctuations are inherently stochastic. Often,…

概率论 · 数学 2025-07-29 Alexandru Hening , Siddharth Sabharwal

The behavior of interacting populations typically displays irregular temporal and spatial patterns that are difficult to reconcile with an underlying deterministic dynamics. A classical example is the heterogeneous distribution of plankton…

种群与进化 · 定量生物学 2009-11-13 M. H. Vainstein , J. M. Rubi , J. M. G. Vilar

In complex systems, the interplay between nonlinear and stochastic dynamics, e.g., J. Monod's necessity and chance, gives rise to an evolutionary process in Darwinian sense, in terms of discrete jumps among attractors, with punctuated…

适应与自组织系统 · 物理学 2013-03-18 Hong Qian

Mathematical models are vital interpretive and predictive tools used to assist in the understanding of cell migration. There are typically two approaches to modelling cell migration: either micro-scale, discrete or macro-scale, continuum.…

细胞行为 · 定量生物学 2018-08-16 Enrico Gavagnin , Christian A. Yates

We investigate the thermodynamics as well as the population dynamics of ecosystems based on a stochastic approach in which the number of individuals of the several species of the ecosystem are treated as stochastic variables. The several…

统计力学 · 物理学 2024-05-31 Tânia Tomè , Mário J. de Oliveira

Existing theoretical models of evolution focus on the relative fitness advantages of different mutants in a population while the dynamic behavior of the population size is mostly left unconsidered. We here present a generic stochastic model…

种群与进化 · 定量生物学 2010-10-20 Anna Melbinger , Jonas Cremer , Erwin Frey

Mutualistic communities have an internal structure that makes them resilient to external per- turbations. Late research has focused on their stability and the topology of the relations between the different organisms to explain the reasons…

种群与进化 · 定量生物学 2014-09-19 Javier Garcia-Algarra , Javier Galeano , Juan Manuel Pastor , Jose Maria Iriondo , Jose J. Ramasco
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