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Computational and Mathematical Models in Biology: Nonlinear Systems and Complexity, cartea 38

Editat de Carla M.A. Pinto, Clara Mihaela Ionescu
en Limba Engleză Hardback – 9 dec 2023
This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic.
Topics include (but are not limited to): modeling infectious and dynamic diseases;
regulation of cell function; biological pattern formation;
biological networks; tumor growth and angiogenesis;
complex biological systems; Monte Carlo methods;
Control theory, optimization and their applications
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Specificații

ISBN-13: 9783031426889
ISBN-10: 3031426886
Ilustrații: VI, 329 p. 124 illus., 117 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.64 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Nonlinear Systems and Complexity

Locul publicării:Cham, Switzerland

Cuprins

Volterra type model analyzed through different techniques".- Rate-induced tipping and chaos in models of epidemics.-  Numerical simulation and validation of a nonlinear differential system for drug release boosted by light.-  Lipschitz Qiasistability of Impulsive Cohen–Grossberg Neural Network Models with Delays and Reaction-Diffusion Terms.-  Study of the nonelementary singular points and the dynamics near the infinity in predator-prey systems.-  .- Fractional order event-based control meets biomedical applications.-  A model based optimal distributed predictive management of multi-drug infusion in lung cancer patient therapy.-  From Duffing equation to bio-oscillations..-  Impact of Travel on Spread of Infection.-  Mathematical Oncology. Tumor evolution models".-  Digital operators and discrete equations as computational tools.-  Numerical simulations for viscous reactive micropolar real gas flow.

Notă biografică

Carla M.A. Pinto is Coordinating Professor at the School of Engineering, Polytechnic of Porto, Portugal. She has a PhD degree in the scientific area of Mathematics, since January 2004. She is integrated member of the Center of Mathematics of the University of Porto, where she does her main research topic, Mathematical Epidemiology. She is interested in mathematical challenges and their role in providing advice on public health policies. Dr. Pinto is trained in Nonlinear Dynamics, Bifurcation Theory. Previous research included the analysis of Central Pattern Generators for Animal and Robot Locomotion, coupled cell networks, neuron-like equations (Hodgkin-Huxley equations, Fitz-Hugh Nagumo, Morris-Lecar). Dr. Pinto has been the recipient of several scientific awards, namely Gulbenkian Award for Young Scientists in 2003, Best Paper Award (2022, 2020, etc). Since 2017 she has developed a secondary research interest devoted to Mathematics Education, having been Coordinator of Erasmus+ projects, as well as Participant. She has more than 100 publications, and h-index of 22.

Clara M. Ionescu is professor at Faculty of Engineering and Architecture, at Ghent University, Belgium since October 2016, a research-member of the laboratory of Dynamical Systems and Control. She holds a master degree is Automation and Applied Informatics in 2003 from Dunarea de Jos University of Galati, Romania, and a PhD degree in Biomedical Engineering from Ghent University in 2009. She was recipient of prestigious excellence scholarship for top-students going abroad from the Romanian Ministry of Research and Innovation, during her master Studies at Ghent University in 2002. She was also recipient of prestigious excellent post-doctoral scholarship of Flemish Research Foundation, of Belgium for 6 years, from 2011 - 2017. She is an ERC Consolidator Grant fellow: AMICAS, Adaptive Multi-Drug Infusion Control System for General Anesthesia during Major Surgery. She is member of several valorization and innovation platforms in Belgium: Flanders Make, Centre for Sustainable Pharmaceutical Engineering. She has more than 100 scientific publications in Web of Science with h-index of 31.

Textul de pe ultima copertă

This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to):
modeling infectious and dynamic diseases; regulation of cell function;
biological pattern formation; biological networks;
tumor growth and angiogenesis; complex biological systems;
Monte Carlo methods; Control theory, optimization and their applications.

Caracteristici

Examines hybrid biological models, advanced studies on cancer and angiogenesis, and epidemiological models Includes coverage of new directions on computational and mathematical models. Maximizes reader understanding of control, optimization and applications