Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models

Trends in Biomathematics: Stability and Oscillations in Environmental, Social, and Biological Models

Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2021

Mondaini, Rubem P.

Springer International Publishing AG

01/2023

425

Dura

Inglês

9783031125140

15 a 20 dias

816

Descrição não disponível.
Preface.- Editorial Board of the BIOMAT Consortium.- Chapter 1. Whole-Graph Embedding and Adversarial Attacks for Life Sciences.- Chapter 2. Photochemical Scheme for Reversibly Photoswitchable Fluorescent Proteins used in Biological Imaging.- Chapter 3. Probability Distributions of P53 Mutations and their corresponding Shannon Entropies in Different Cancer Cell Types.- Chapter 4. Oscillations in Biological Systems.- Chapter 5. Implementations of the Functional Response in Marine Ecosystem: A State-or-the-Art Plankton Model.- Chapter 6. Optimal Drug Therapy in a Multi-pathways HIV-1 Infection Model with Immune Response Delay.- Chapter 7. Mathematical Models of Acoustically Induced Vaporization of Encapsulated Cell Models.- Chapter 8. Existence of Closed Trajectories in Lotka-Volterra Systems.- Chapter 9. Asymptotic Stability Analysis for Chaotic Predator-Prey Model via Active Controlled Hybrid Compound Difference Synchronization Strategy.- Chapter 10. Modeling Competition in Motionless Populations.- Chapter 11. Mathematical Analysis of a SIHV COVID-19 Pandemic Model taking into account a Vaccination Strategy.- Chapter 12. Derivation of Macroscopic Equations from Homogeneous Thermostatted Kinetic Equations in the Cancer-Immune System Competition.- Chapter 13. Oscillations in a System Modelling Somite Formation.- Chapter 14. Socio-Ecological Dynamics Generated by Hydrocarbon Exploration.- Chapter 15. The Maximal Extension of the Strict Concavity Region on the Parameter space for Sharma-Mittal Entropy Measures.- Chapter 16. Computational Modeling of Cancer Response to Oncolytic Virotherapy: Improving the Effectiveness of Viral Spread and Antitumor Efficacy.- Chapter 17. Propensity Matrix Method for Age Dependent Stochastic Infectious Disease Models.- Chapter 18. Modeling the Insect-Vectors-Mediated Phytoplasm Transmissions in Agroecosystems.- Chapter 19. An Interdisciplinary Model-Based Study on Emerging Infectious Disease: The curse of 21st Century.- Chapter 20. Effect of Incubation Delay in an SIRS Model: Hopf Bifurcation and Stability Switch.- Chapter 21. Modeling of the Role of TV and Internet Coverage on Mitigating the Spread of Infectious Diseases.- Chapter 22. Potential severity, mitigation, and control of Omicron waves depending on pre-existing immunity and immune evasion.- Index.
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BIOMAT Lectures;BIOMAT Consortium;biomathematics;mathematical modeling;computational modeling;infections disease models;population competition modeling;COVID-19;predator-prey models;encapsulated cell models;Shannon entropy;Hopf bifurcation;Lotka-Volterra systems