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丙型肝炎模型在感染和未感染肝细胞增殖时的结构稳定性

IF 1.8 4区 数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2024-02-04 DOI:10.1080/13873954.2024.2304808
Z. Navickas, R. Marcinkevicius, I. Telksniene, T. Telksnys, M. Ragulskis
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引用次数: 0

摘要

本文研究了感染和未感染肝细胞增殖的丙型肝炎模型的结构稳定性。经临床验证，该模型能准确反映...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Structural stability of the hepatitis C model with the proliferation of infected and uninfected hepatocytes
The structural stability of the hepatitis C model with the proliferation of infected and uninfected hepatocytes is investigated in this paper. The model is clinically verified to accurately reflect...
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来源期刊
Mathematical and Computer Modelling of Dynamical Systems
Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用
CiteScore
3.80
自引率
5.30%
发文量
7
审稿时长
>12 weeks
期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.
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