Ulteriori informazioni
This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.
The book covers a wide range of topics, from epidemiological modeling and optimal infection control to the application of machine learning and artificial intelligence in cell biology imaging. It also explores the dynamics of disease spread, protein structure modeling, and mathematical models of HIV-1, COVID-19, monkeypox, and measles, featuring contributions from some of the most esteemed researchers in the field, as well as findings from a new generation of researchers, fostering cross-disciplinary collaborations. Carefully edited, this volume will appeal to both researchers and students looking for topics for further study.
Previous BIOMAT volumes from 2018 to 2024 are also available from Springer.
Sommario
Preface.- Periodicity in an Epidemiological Model of Measles Infection and Immunity.- Global Stability in an SIRS Model with Zoonotic Transmission, Nonlinear Incidence Rate and Temporal Immunity.- Applications of Pseudo-Boolean Polynomials in Medical Imaging.- Investigating the Spread of Chytridiomycosis in Native Amphibians by Invading Bd-carrier Bullfrogs.- Global Stability for FPDEs with Hattaf Time Fractional Derivative and some Applications in Mathematical Biology.- Stability of a Delayed Fractional Model for Viral Infection with Multiple Modes of Transmission and Humoral Immunity.- Mathematical Modeling of Cancer Inhibition through Localized.- Modeling and Optimal Control of Monkeypox Disease with Saturated Incidence Rates Radiation Therapy.- Dynamical Properties of a Seasonally Forced Phytoplankton-Zooplankton Model.- Dynamical Analysis of a Discretized System Modelling Somitogenesis.- Machine Learning and Artificial Intelligence for Cell Biology Imaging.- Exploring the Stability and Dynamics of Cancer Virotherapy: A Fractional Calculus Approach with GHF Derivative.- A Generalist Predator-Based Ecoepidemic Model for the Consequences of Selective Predation and Harvesting.- Examining Heterogeneity in Information Diffusion and its Impact on Disease Spread in a Multilayer Network.- Could COVID-19 Mask and Vaccine Mandates have made a Difference if they were Rolled Out Earlier?.- Extreme Events in Neuronal Networks.- Spatiotemporal Dynamics of a Mathematical HIV-1 Infection Model with Hattaf Time Fractional Derivative and Two Types of Infected Cells.- Modelling Three-Dimensional Structures of Proteins using Networks.- New Results on the Construction of a Statistical Mechanics of Probabilities of Occurrence.- A Computational Reaction-Diffusion Model for Bidomain Calcium Dynamics on Calcium Cells.- The Effect of Assortativity on Mpox Spreading with Two Core Groups.- Index.
Info autore
Rubem P. Mondaini is President of the BIOMAT Consortium/International Institute for Interdisciplinary Mathematical and Biological Sciences and a Full Professor of Mathematical Biology and Biological Physics at the Federal University of Rio de Janeiro, Brazil. He holds a PhD in Theoretical Physics from the Brazilian Centre for Physical Research, Brazil. His research activities abroad include a period as a Visiting Scientist at the International Centre for Theoretical Physics (ICTP), Trieste, Italy (1978) and as a Senior Postdoc at the Department of Mathematics of King's College, University of London, UK (1986). He was also a Visiting Professor at the Centre of Physics of Condensed Matter, Lisbon, Portugal (1986) and at the Department of Chemical Engineering of Princeton University (2008). He has been the Chairman of the Annual BIOMAT Conferences since their inception during the BIOMAT 2001 Symposium in Rio de Janeiro, Brazil.
Riassunto
This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.
The book covers a wide range of topics, from epidemiological modeling and optimal infection control to the application of machine learning and artificial intelligence in cell biology imaging. It also explores the dynamics of disease spread, protein structure modeling, and mathematical models of HIV-1, COVID-19, monkeypox, and measles, featuring contributions from some of the most esteemed researchers in the field, as well as findings from a new generation of researchers, fostering cross-disciplinary collaborations. Carefully edited, this volume will appeal to both researchers and students looking for topics for further study.
Previous BIOMAT volumes from 2018 to 2024 are also available from Springer.
