Results 11 to 20 of about 60 (60)

A Mixed‐Culture Model of a Probiotic Biofilm Control System

open access: yesComputational and Mathematical Methods in Medicine, Volume 11, Issue 2, Page 99-118, 2010., 2010
We present a mathematical model and computer simulations for the control of a pathogenic biofilm by a probiotic biofilm. This is a substantial extension of a previous model of control of a pathogenic biofilm by microbial control agents that are suspended in the aqueous bulk phase (H. Khassehkhan and H.J. Eberl, Comp. Math. Meth.
Hermann J. Eberl   +2 more
wiley   +1 more source

Modeling and Simulation of a Bacterial Biofilm That Is Controlled by pH and Protonated Lactic Acids

open access: yesComputational and Mathematical Methods in Medicine, Volume 9, Issue 1, Page 47-67, 2008., 2008
We present a mathematical model for growth and control of facultative anaerobic bacterial biofilms in nutrient rich environments. The growth of the microbial population is limited by protonated lactic acids and the local pH value, which in return are altered as the microbial population changes.
Hassan Khassehkhan, Hermann J. Eberl
wiley   +1 more source

Stability Analysis of a Model of Atherogenesis: An Energy Estimate Approach

open access: yesComputational and Mathematical Methods in Medicine, Volume 9, Issue 2, Page 121-142, 2008., 2008
Atherosclerosis is a disease of the vasculature that is characterized by chronic inflammation and the accumulation of lipids and apoptotic cells in the walls of large arteries. This disease results in plaque growth in an infected artery typically leading to occlusion of the artery. Atherosclerosis is the leading cause of human mortality in the US, much
A. I. Ibragimov   +3 more
wiley   +1 more source

Steady-state bifurcation and pattern formation in an immune chemotaxis system with volume-filling effects

open access: yes
This paper studies a three-component reaction-diffusion-advection immune chemotaxis model incorporating volume-filling effects, which accounts for spatial crowding and density limitation of immune cells.
Yafei Yang, Liangying Miao, Xiaoyan Gao
core   +1 more source

A Bayesian finite-element trained machine learning approach for predicting post-burn contraction. [PDF]

open access: yesNeural Comput Appl, 2022
Egberts G   +3 more
europepmc   +1 more source

Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction. [PDF]

open access: yesBiomech Model Mechanobiol, 2023
Egberts G   +3 more
europepmc   +1 more source

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