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相关论文: Range expansion by growth and congestion

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The main purpose of this work is the mathematical modelling of large populations of cells under different deterministic interactions among themselves, in balance with naturally random diffusion. We focus on cell-cell adhesion mechanisms for…

偏微分方程分析 · 数学 2025-03-19 Carlo Giambiagi Ferrari , Francisco Guillen-Gonzalez , Mayte Perez-Llanos , Antonio Suarez

At the continuous level, we consider two types of tumor growth models: the cell density model, which is based on the fluid mechanical construction, is more favorable for scientific interpretation and numerical simulations; and the free…

偏微分方程分析 · 数学 2019-10-28 Jian-Guo Liu , Min Tang , Li Wang , Zhennan Zhou

A packed community of exponentially proliferating microbes will spread in size exponentially. However, due to nutrient depletion, mechanical constraints, or other limitations, exponential proliferation is not indefinite, and the spreading…

生物物理 · 物理学 2026-02-02 Meiyi Yao , Joshua M. Jones , Joseph W. Larkin , Andrew Mugler

We consider an epidemic model with nonlocal diffusion and free boundaries, which describes the evolution of an infectious agents with nonlocal diffusion and the infected humans without diffusion, where humans get infected by the agents, and…

偏微分方程分析 · 数学 2019-12-06 Meng Zhao , Yang Zhang , Wan-Tong Li , Yihong Du

Continuum models for the spatial dynamics of growing cell populations have been widely used to investigate the mechanisms underpinning tissue development and tumour invasion. These models consist of nonlinear partial differential equations…

组织与器官 · 定量生物学 2019-07-15 Mark AJ Chaplain , Tommaso Lorenzi , Fiona R Macfarlane

The interplay between space and evolution is an important issue in population dynamics, that is in particular crucial in the emergence of polymorphism and spatial patterns. Recently, biological studies suggest that invasion and evolution…

概率论 · 数学 2016-08-16 Nicolas Champagnat , Sylvie Méléard

We study a class of free boundary systems with nonlocal diffusion, which are natural extensions of the corresponding free boundary problems of reaction diffusion systems. As before the free boundary represents the spreading front of the…

偏微分方程分析 · 数学 2019-07-11 Yihong Du , Mingxin Wang , Meng Zhao

The spread of a particular trait in a cell population often is modelled by an appropriate system of ordinary differential equations describing how the sizes of subpopulations of the cells with the same genome change in time. On the other…

动力系统 · 数学 2016-05-26 J. Banasiak , A. Falkiewicz

The source term in a reaction-diffusion system, in general, does not involve explicit time dependence. A class of self-limiting growth models dealing with animal and tumor growth and bacterial population in a culture, on the other hand are…

生物物理 · 物理学 2009-11-07 Sandip Kar , Suman Kumar Banik , Deb Shankar Ray

A mathematical model for tissue growth is considered. This model describes the dynamics of the density of cells due to pressure forces and proliferation. It is known that such cell population model converges at the incompressible limit…

偏微分方程分析 · 数学 2017-03-01 Sophie Hecht , Nicolas Vauchelet

A mutualist model with nonlocal diffusions and a free boundary is first considered. We prove that this problem has a unique solution defined $t\ge0$, and its dynamics are governed by a spreading-vanishing dichotomy. Some criteria for…

偏微分方程分析 · 数学 2021-10-28 Lei Li , Mingxin Wang

Reaction-diffusion equations describe various spatially extended processes that unfold as traveling fronts moving at constant velocity. We introduce and solve analytically a model that, besides such fronts, supports solutions advancing as…

生物物理 · 物理学 2026-02-13 Louis Brezin , Kyle J. Shaffer , Kirill S. Korolev

The time evolution of spatial fluctuations in inhomogeneous d-dimensional biological systems is analyzed. A single species continuous growth model, in which the population disperses via diffusion and convection is considered.…

无序系统与神经网络 · 物理学 2009-10-30 David R. Nelson , Nadav M. Shnerb

Range expansion and range shifts are crucial population responses to climate change. Genetic consequences are not well understood but are clearly coupled to ecological dynamics that, in turn, are driven by shifting climate conditions. We…

种群与进化 · 定量生物学 2016-09-29 Jimmy Garnier , Mark Lewis

We study a class of free boundary problems of ecological models with nonlocal and local diffusions, which are natural extensions of free boundary problems of reaction diffusion systems in there local diffusions are used to describe the…

偏微分方程分析 · 数学 2019-09-17 Jianping Wang , Mingxin Wang

Risk spreading in bacterial populations is generally regarded as a strategy to maximize survival. Here, we study its role during range expansion of a genetically diverse population where growth and motility are two alternative traits. We…

种群与进化 · 定量生物学 2014-08-26 Matthias Reiter , Steffen Rulands , Erwin Frey

We consider a nonlinear coupled discrete-time model of population dynamics. This model describes the movement of populations within a heterogeneous landscape, where the growth of subpopulations are modelled by (possibly different) bounded…

动力系统 · 数学 2024-05-08 Blake McGrane-Corrigan , Oliver Mason , Rafael de Andrade Moral

We propose a model for describing the growth on an untreated tumor, which is characterized in a simple way by a minimal number of parameters with a well-defined physical interpretation. The model is motivated by invoking the Master Equation…

种群与进化 · 定量生物学 2007-05-23 José F. Nieves , Marcelo R. Ubriaco

The population dynamics that evolves in the radial symmetric geometry is investigated. The nonlinear reaction-diffusion model, which depends on population density, is employed as the governing equation for this system. The approximate…

生物物理 · 物理学 2014-01-17 Waipot Ngamsaad

In this paper we present an individual-based mechanical model that describes the dynamics of two contiguous cell populations with different proliferative and mechanical characteristics. An off-lattice modelling approach is considered…

偏微分方程分析 · 数学 2020-01-14 Tommaso Lorenzi , Philip J. Murray , Mariya Ptashnyk
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