11168nam 2200613 450 991049534620332120220613092740.03-030-73241-X(CKB)4100000011990394(MiAaPQ)EBC6684853(Au-PeEL)EBL6684853(PPN)258065567(EXLCZ)99410000001199039420220414d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTrends in biomathematics chaos and control in epidemics, ecosystems, and cells, selected works from the 20th BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2020 /edited by Rubem P. MondainiCham, Switzerland :Springer,[2021]©20211 online resource (391 pages)Includes index.3-030-73240-1 Intro -- Preface -- Editorial Board of the BIOMAT Consortium -- Contents -- Mathematical Modeling of Macroalgae-Borne Pathogen Transmission in Corals -- 1 Introduction -- 2 The Basic Model -- 3 Equilibria and Their Stability -- 4 Discussion -- References -- Oscillatory Behavior of a Delayed Ratio-Dependent Predator-Prey System with Michaelis-Menten Functional Response -- 1 Introduction -- 2 The System with Delay -- 2.1 Exponential Fading Memory -- 2.2 Memory with a Hump -- 3 The Case of One Prey and Two Predators -- 4 Stability of the Bifurcating Periodic Solution -- References -- Dynamical Analysis of Phytoplankton-Zooplankton Interaction Model by Using Deterministic and Stochastic Approach -- 1 Introduction -- 2 The Mathematical Model -- 3 Some Preliminary Results -- 3.1 Positive Invariance -- 3.2 Equilibria -- 3.2.1 Plankton-Free Equilibrium -- 3.2.2 Plankton-Free Equilibrium -- 3.2.3 Coexistence Equilibrium -- 3.3 Hopf Bifurcation at Coexistence -- 4 The Stochastic Model -- 4.1 Stochastic Stability of the Coexistence Equilibrium -- 5 Numerical Simulations -- 5.1 Effects of N0 -- 5.2 Effects of D -- 5.3 Effects of μ1 -- 5.4 Effects of μ2 -- 5.5 Effects of K -- 5.6 Effects of ρ -- 5.7 Hopf Bifurcation -- 5.8 Environmental Fluctuations -- 6 Discussion -- References -- Predicting the COVID-19 Spread Using Compartmental Model and Extreme Value Theory with Application to Egypt and Iraq -- 1 Introduction -- 2 Methods -- 2.1 Compartmental Model for COVID-19 Transmission -- 2.1.1 Derivation of the Basic Reproduction Number -- 2.2 Return Level Estimation -- 3 Results -- 3.1 Parameter Estimation for Iraq and Egypt -- 3.2 Reproduction Numbers -- 3.3 Prediction of the Second Wave of the COVID-19 Epidemic -- 4 Discussion -- References -- Geometry of Fitness Surfaces and Dynamics of Replicator Systems -- 1 Introduction: Extremum Principles in Evolution.2 Fitness Landscapes of Replicator Systems -- 2.1 Game-Theoretical Approach and Evolutionary Stable Strategies -- 2.2 Lotka-Volterra System -- References -- In-Host Dynamics of the Human Papillomavirus (HPV) in the Presence of Immune Response -- 1 Introduction -- 2 Model Formulation -- 3 Preliminary Analysis of the HPV Model -- 3.1 Positivity and Boundedness of Solutions -- 4 The Disease-Free Equilibrium and the Reproduction Number R0 -- 4.1 Global Stability Analysis of the Disease-Free Equilibrium -- 4.2 The Endemic Equilibrium -- 4.3 The CTL-Activated Reproduction Number RK -- 5 Sensitivity Analysis of R0. -- 6 Numerical Simulations -- 7 Discussion and Conclusion -- References -- Global Properties and Optimal Control Strategies of a Generalized Ebola Virus Disease Model -- 1 Introduction -- 2 Sensitivity Analysis -- 3 The Model Formulation and Equilibria -- 4 The Optimal Control -- 4.1 Existence of an Optimal Control -- 4.2 Optimality System -- 5 Numerical Simulations -- 6 Conclusion -- References -- On Whole-Graph Embedding Techniques -- 1 Introduction -- 2 Approaches to Whole-Graph Embedding -- 2.1 Graph Kernels -- 2.2 Neural Network- and Deep Learning-Based Embeddings -- 2.3 Matrix Factorization -- 3 Graph Classification with Distribution-Based Measures -- 4 Experimental Results -- 4.1 Data -- 4.1.1 Synthetic Graphs -- 4.1.2 Real Graphs -- 4.2 Empirical Comparison of Methods -- 4.3 Performance Evaluation -- 5 Conclusions -- References -- Semigroup Approaches of Cell Proliferation Models -- 1 Introduction -- 2 Cell Cycle Model with Unequal Division and Random Transition -- 3 Cell Cycle Model with Mutation Accumulation and Telomere Hierarchies -- 4 Cell Cycle Model with Quiescence -- References -- Viability Analysis of Labor Force in an Agroforestry System -- 1 Introduction -- 2 Mathematical Model -- 2.1 Base Model -- 2.2 Modified Model.2.3 Equilibrium Points -- 3 Viability -- 3.1 Preliminary -- 3.2 Sustainable Thresholds -- 3.2.1 One-Dimensional Case -- 3.2.2 Two-Dimensional Case -- 3.3 Viability: Equilibrium Points -- 4 Results -- 5 Discussion: Key Challenges and Ways Forward -- References -- Modeling Covid-19 Considering Asymptomatic Cases and Avoided Contacts -- 1 Introduction -- 2 Model Formulation -- 2.1 The Mathematical Model -- 2.2 Parameter Values -- 3 Qualitative Analysis of the Model -- 3.1 Basic Reproduction Number R0 -- 3.2 Equilibrium Points and Their Stability -- 4 Numerical Simulations and Biological Interpretation of the Results -- 5 Discussion of the Results -- References -- On the Stability of Periodic Solutions of an Impulsive System Arising in the Control of Agroecosystems -- 1 Introduction -- 2 Analysis of the Model -- 2.1 Definitions and Assumptions -- 2.2 Stability of ζ -- 2.3 Stability of the Remaining τ-Periodic Solution -- 2.3.1 Stability of ζf -- 2.3.2 Stability of ζv -- Appendix -- Appendix A1 -- Appendix A2 -- Appendix A3 -- References -- A Jaccard-Like Symbol and Its Usefulness in the Derivation of Amino Acid Distributions in Protein Domain Families -- 1 Introduction -- 2 Saddle Points of the Constrained Lagrangian and Minima of the Euclidean Norm of Its Gradient -- 3 The Meaning of Constraints on the Variational Process for the Derivation of Probabilistic Distributions -- 4 The Jaccard-Like Functional Measure -- 5 A Proposal for Information Measure and the Synergy of the Probabilistic Distributions -- 6 Some Useful Remarks and Planning for Future Work -- References -- When Ideas Go Viral-Complex Bifurcations in a Two-Stage Transmission Model -- 1 Introduction -- 2 Existence and Local Stability of Equilibria -- 3 Numerical Bifurcation Analysis -- 4 Discussion -- Appendix A -- References.Dynamic Analysis of SLIR Model Describing the Effectiveness of Quarantine Against the Spread of COVID-19 -- 1 Introduction -- 2 Positivity and Boundedness of Solutions -- 3 Analysis of the Model -- 3.1 The Basic Reproduction Number -- 3.2 Steady States -- 3.3 Global Stability -- 4 Numerical Simulations -- 5 Conclusion -- References -- Non-FSI 3D Hemodynamic Simulations in Time-Dependent Domains -- 1 Introduction -- 2 Fluid-Structure Interaction -- 3 Navier-Stokes Equations in Time-Dependent Domain -- 4 Multiscale Hemodynamic Model in Compliant Bifurcations -- References -- Co-existence of Chaos and Control in Generalized Lotka-Volterra Biological Model: A Comprehensive Analysis -- 1 Introduction -- 2 Problem Formulation -- 3 Synchronization Theory via Active Control Design -- 4 A Simple Numerical Example -- 5 Numerical Simulations and Discussions -- 6 Conclusion -- References -- Global Dynamics of a Model for Anaerobic Wastewater Treatment Process -- 1 Introduction -- 1.1 Anaerobic Wastewater Treatment Process -- 1.2 Mathematical Models for Anaerobic Wastewater Treatment Process -- 2 Model Formulation -- 3 Global Dynamics -- 4 Numerical Simulations -- 5 Discussion -- References -- Spatiotemporal Dynamics of Fractional Hepatitis B Virus Infection Model with Humoral and Cellular Immunity -- 1 Introduction -- 2 Global Stability -- 3 Numerical Simulations -- 4 Conclusions -- References -- A 3D Fractional Step Computational Modeling of Nerve Impulse Transmission Through an Axonal Membrane: Incorporating Calcium Buffer and Extrusion -- 1 Introduction and Motivation -- 2 Materials and Methods -- 2.1 Representation of the Computational Domain -- 2.2 Modeling the Nernst-Planck Equation -- 2.3 Modeling the Modified Cable Equation -- 2.4 Calcium Buffer and Extrusion -- 2.5 Initial and Boundary Conditions -- 2.6 Summary of Governing Equations.2.7 Variational Formulation of the Problem -- 2.8 Numerical Scheme -- 2.8.1 Time Marching Scheme -- 3 Results and Discussion -- 3.1 Numerical Result 1: Electrophysiological Behavior of the Model in Absence of Stimulation -- 3.2 Numerical Result 2: Electrophysiological Validation of the Model -- 3.2.1 Excitability -- 3.2.2 Action Potential Morphology -- 4 Conclusion -- References -- Covid-19 Superspreading Events Network Analysis from Agent-Based Model with Mobility Restriction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Agent-Based Model -- 2.2 Network Analysis -- 3 Results and Discussion -- 4 Conclusions -- References -- Distinct Prognostic Values of BCL2 Anti-apoptotic Members in Lung Cancer: An In-Silico Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Gene Alteration Analysis Through cBioportal -- 2.2 Prognostic Analysis Through KMplotter -- 2.3 miRNA Regulation Analysis Through miRSystem -- 3 Results -- 3.1 Genomic Alterations in Target Genesin Lung Cancer -- 3.2 Distinct Prognostic Values of the Selected BCl2 Anti-apoptotic Members -- 3.2.1 Prognostic Significance of Selected BCL2 Anti-apoptotic Members in All Lung Cancer Patients -- 3.2.2 Prognostic Significance of Selected BCL2 Anti-apoptotic Members in All Lung Cancer Patients with Different Tumor Histology -- 3.2.3 Prognostic Significance of Selected BCL2 Anti-apoptotic Members in All Lung Cancer Patients with Different Smoking History -- 3.3 Potential miRNA Regulators of Selected Target Genes -- 4 Discussion -- References -- Economic Development Process: A Compartmental Analysis of a Model with Two Delays -- 1 Introduction -- 2 The DEA Model -- 3 Basic Results -- 3.1 Positivity and Boundedness of Solutions -- 3.2 Equilibria -- 4 Stability Analysis of the System Without Delays (τ1=τ2=0) -- 4.1 Local Stability Analysis for F1 -- 4.2 Local Stability Analysis for F2.4.3 Local Stability Analysis for F3.EpidemiologyMathematical modelsCongressesBiomathematicsCongressesEpidemiologyMathematical modelsEpidemiologiathubModels matemàticsthubBiomatemàticathubCongressosTHUBLlibres electrònicsthubEpidemiologyMathematical modelsBiomathematicsEpidemiologyMathematical models.EpidemiologiaModels matemàticsBiomatemàtica570.15195Mondaini Rubem P.MiAaPQMiAaPQMiAaPQBOOK9910495346203321Trends in biomathematics2834070UNINA01275nam 2200349 450 991070020030332120150824160841.0(CKB)5470000002406959(OCoLC)919095510(EXLCZ)99547000000240695920150824d2010 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierWe are all-americans strong kids for a strong nation : the President's challenge physical activity & fitness awards program 2010-2011Bloomington, IN :President's Council on Fitness, Sports, and Nutrition,[2010]1 online resource (17 pages, 3 unnumbered pages) color illustrationsTitle from title screen (viewed on Aug. 24, 2015).We are all-americans ChildrenHealth and hygieneUnited StatesPhysical fitness for youthUnited StatesChildrenHealth and hygienePhysical fitness for youthPresident's Council on Fitness, Sports & Nutrition (U.S.),GPOGPOBOOK9910700200303321We are all-americans3471494UNINA