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Mathematical Methods in the Applied Sciences
Article . 2021 . Peer-reviewed
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zbMATH Open
Article . 2021
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The reaction–cross‐diffusion models for tissue growth

The reaction-cross-diffusion models for tissue growth
Authors: Zehra Pinar;

The reaction–cross‐diffusion models for tissue growth

Abstract

The application of mathematics to fields such as biology, medicine, and biotechnology has resulted in quantitative relations, and mathematical biology, an interdisciplinary branch, has emerged. The considered models of cell/tissue growth are determined by cross‐reaction‐diffusion equations with possible transitions between malignant cells with different growth rates or healthy cells. For the considered models, the exact solutions in the explicit form were not obtained in the existing literature to our knowledge. Our main aim is to fill this gap by revealing their exact solutions. The obtained results have a major role in the literature so that the considered models are seen in a large scale of applications.

Country
Turkey
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Keywords

Reaction rates, Cross reaction, tissue growth model, Exact solution, exact solutions, Second-order parabolic systems, Solutions to PDEs in closed form, Tissue growth, Population dynamics (general), Reaction-diffusion equations, Problems related to evolution, reaction-cross-diffusion equations, Mathematical biology, reaction–cross-diffusion equations, Malignant cells, bio-system dynamics, Linear equations, Quantitative relations, Cross-diffusion models, Explicit form

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green