Mathematical Biology: Modeling, Analysis, and Simulations
Facultad de Ciencias-Edificio B, Plaza San Francisco s/n Universidad de Zaragoza, 50009 Zaragoza, Spain
Mathematics 2022, 10(20), 3892; https://doi.org/10.3390/math10203892
Submission received: 30 July 2022
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Accepted: 30 July 2022
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Published: 20 October 2022
(This article belongs to the Special Issue Mathematical Biology: Modeling, Analysis, and Simulations)
1. Description/Preface
Mathematical biology has been an area of wide interest during the recent decades, as the modeling of complicated biological processes has enabled the creation of analytical and computational approaches to many different bio-inspired problems originating from different branches such as population dynamics, molecular dynamics in cells, neuronal and heart diseases, the cardiovascular system, genetics, etc. Mathematical and computer science have come to work interactively to contribute to the better understanding of biological phenomena.
The present volume contains the 12 articles accepted and published in 2021 in the Special Issue, “Mathematical Biology: Modeling, Analysis, and Simulations” of the MDPI Mathematics journal, which covers a wide range of topics connected to the mathematical modeling of different biologically inspired and motivated problems. These topics include, among others, elements from processes in developmental biology [1]; equilibria and bifurcations in cardiac [2], tumoral [3] and regulatory cell [4] models; complexity in human pupillary light reflexes [5] and visual disorders [6]; a descriptive geometrical method as a model for motion [7]; statistical analysis applied to lactation model fitting [8]; DNA microarray experiments [9]; the transmission dynamics of HIV [10]; and mathematical models of the phosphorylation of glucose [11] and the transmission of tuberculosis [12].
It is hoped that this volume will be interesting and useful for those working in the area of mathematical modeling regarding biologically inspired problems and for those with the proper background who are willing to become familiar with the recent advances regarding the very different insights and views of live systems from mathematical and statistical alignments, which, nowadays, have entered into almost all sectors of human life and activity.
As the Guest Editor of this Special Issue, I am grateful to the authors of the papers for their quality contributions, to the reviewers for their valuable comments towards the improvement of the submitted works, and to the administrative staff of the MDPI journal for providing their support to complete this project. Special thanks are due to the Managing Editor of the Special Issue Ms. Emma He for her excellent collaboration and valuable assistance.
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
References
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- Correia Ramos, C. Kinematics in Biology: Symbolic Dynamics Approach. Mathematics 2020, 8, 339. [Google Scholar] [CrossRef] [Green Version]
- Pizarro Inostroza, M.G.; Navas González, F.J.; Landi, V.; León Jurado, J.M.; Delgado Bermejo, J.V.; Fernández Álvarez, J.; Martínez Martínez, M.d.A. Software-Automatized Individual Lactation Model Fitting, Peak and Persistence and Bayesian Criteria Comparison for Milk Yield Genetic Studies in Murciano-Granadina Goats. Mathematics 2020, 8, 1505. [Google Scholar] [CrossRef]
- Maria, E.C.J.; Salazar, I.; Sanz, L.; Gómez-Villegas, M.A. Using Copula to Model Dependence When Testing Multiple Hypotheses in DNA Microarray Experiments: A Bayesian Approximation. Mathematics 2020, 8, 1514. [Google Scholar] [CrossRef]
- Niyukuri, D.; Chibawara, T.; Nyasulu, P.S.; Delva, W. Inferring HIV Transmission Network Determinants Using Agent-Based Models Calibrated to Multi-Data Sources. Mathematics 2021, 9, 2645. [Google Scholar] [CrossRef]
- Mai, V.Q.; Meere, M. Modelling the Phosphorylation of Glucose by Human hexokinase I. Mathematics 2021, 9, 2315. [Google Scholar] [CrossRef]
- Sulayman, F.; Abdullah, F.A.; Mohd, M.H. An SVEIRE Model of Tuberculosis to Assess the Effect of an Imperfect Vaccine and Other Exogenous Factors. Mathematics 2021, 9, 327. [Google Scholar] [CrossRef]
Short Biography of Author
Ricardo López-Ruiz, MS, PhD, is an associate professor in the Department of Computer Science and Systems Engineering, Faculty of Science, University of Zaragoza, Spain. He is also an associate researcher in Complex Systems at the School of Mathematics, University of Zaragoza. Previously, he worked as a lecturer at the University of Navarra, the Public University of Navarra, and the UNED of Calatayud, all in Spain. He completed his postdoctoral studies with Prof. Yves Pomeau at the École Normale Supérieure of Paris, and with Prof. Gabriel Mindlin at the University of Buenos Aires. His areas of interest include statistical complexity and nonlinear models, chaotic maps and applications, multi-agent systems, econophysics, big data, and artificial intelligence techniques.
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MDPI and ACS Style
López-Ruiz, R. Mathematical Biology: Modeling, Analysis, and Simulations. Mathematics 2022, 10, 3892. https://doi.org/10.3390/math10203892
AMA Style
López-Ruiz R. Mathematical Biology: Modeling, Analysis, and Simulations. Mathematics. 2022; 10(20):3892. https://doi.org/10.3390/math10203892
Chicago/Turabian StyleLópez-Ruiz, Ricardo. 2022. "Mathematical Biology: Modeling, Analysis, and Simulations" Mathematics 10, no. 20: 3892. https://doi.org/10.3390/math10203892
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