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This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations. In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience. The second set of case studies were adapted from recent and current research papers to the level of the students. Topics have been selected based on public health interest. This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis. Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological and biomedical research. Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer – 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.

Biology - General --- Biology --- Health & Biological Sciences --- Mathematical and Computational Biology. --- Mathematical Applications in the Physical Sciences. --- Systems Biology. --- Biomathematics. --- Mathematical physics. --- Systems biology. --- Biological systems. --- Mathematics --- Biosystems --- Systems, Biological --- System theory --- Systems biology --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Physical mathematics --- Physics --- Philosophy

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This book discusses the ways in which mathematical, computational, and modelling methods can be used to help understand the dynamics of intracellular calcium. The concentration of free intracellular calcium is vital for controlling a wide range of cellular processes, and is thus of great physiological importance. However, because of the complex ways in which the calcium concentration varies, it is also of great mathematical interest.This book presents the general modelling theory as well as a large number of specific case examples, to show how mathematical modelling can interact with experimental approaches, in an interdisciplinary and multifaceted approach to the study of an important physiological control mechanism. Geneviève Dupont is FNRS Research Director at the Unit of Theoretical Chronobiology of the Université Libre de Bruxelles;Martin Falcke is head of the Mathematical Cell Physiology group at the Max Delbrück Center for Molecular Medicine, Berlin;Vivien Kirk is an Associate Professor in the Department of Mathematics at the University of Auckland, New Zealand; James Sneyd is a Professor in the Department of Mathematics at The University of Auckland, New Zealand. .

Mathematics. --- Neurosciences. --- Biomathematics. --- Systems biology. --- Biological systems. --- Mathematical and Computational Biology. --- Biological Networks, Systems Biology. --- Cellular signal transduction. --- Cellular signal transduction --- Mathematical models. --- Cellular information transduction --- Information transduction, Cellular --- Signal transduction, Cellular --- Bioenergetics --- Cellular control mechanisms --- Information theory in biology --- Systems Biology. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Mathematics --- Philosophy

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The book summarizes the state-of-the-art of research on control of self-organizing nonlinear systems with contributions from leading international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time-delayed systems. As a second focus, the book features emerging concepts of application including control of quantum systems, soft condensed matter, and biological systems. Special topics reflecting the active research in the field are the analysis and control of chimera states in classical networks and in quantum systems, the mathematical treatment of multiscale systems, the control of colloidal and quantum transport, the control of epidemics and of neural network dynamics.

Atomic Physics --- Physics --- Physical Sciences & Mathematics --- Physics. --- Systems biology. --- System theory. --- Amorphous substances. --- Complex fluids. --- Complex Systems. --- Soft and Granular Matter, Complex Fluids and Microfluidics. --- Systems Biology. --- Mathematical Methods in Physics. --- Statistical Physics and Dynamical Systems. --- Complex liquids --- Fluids, Complex --- Amorphous substances --- Liquids --- Soft condensed matter --- Systems, Theory of --- Systems science --- Science --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Philosophy --- Mathematical physics. --- Statistical physics. --- Physical mathematics --- Mathematical statistics --- Mathematics --- Statistical methods --- Dynamical systems. --- Biological systems. --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics

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The book presents the challenges inherent in the paradigm shift of network systems from static to highly dynamic distributed systems – it proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The author discuss how biological systems – which have the inherent capabilities of evolving, self-organizing, self-repairing and flourishing with time – are inspiring researchers to take opportunities from the biology domain and map them with the problems faced in network domain. The book revolves around the central idea of bio-inspired systems -- it begins by exploring why biology and computer network research are such a natural match. This is followed by presenting a broad overview of biologically inspired research in network systems -- it is classified by the biological field that inspired each topic and by the area of networking in which that topic lies. Each case elucidates how biological concepts have been most successfully applied in various domains. Nevertheless, it also presents a case study discussing the security aspects of wireless sensor networks and how biological solution stand out in comparison to optimized solutions. Furthermore, it also discusses novel biological solutions for solving problems in diverse engineering domains such as mechanical, electrical, civil, aerospace, energy and agriculture. The readers will not only get proper understanding of the bio inspired systems but also better insight for developing novel bio inspired solutions. Shows how bio-inspired systems – which are inherently robust, flexible and have high resilience towards critical errors -- hold immense potential for next generation network systems Outlines computing and problem solving techniques inspired by biological systems that can provide flexible, adaptable ways of solving networking problems Provides insights into how the study of biological systems can make network systems more flexible, adaptable, self-organized, self-aware, and self-sufficient.

Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer networks --- Biological systems. --- Design and construction. --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Philosophy --- Telecommunication. --- Engineering mathematics. --- Artificial intelligence. --- Bioinformatics. --- Communications Engineering, Networks. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Data processing --- Mathematics --- Electrical engineering. --- Applied mathematics. --- Electric engineering

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This thesis explores the ability of M. maripaludis to capture and convert CO2 to methane in the presence of free nitrogen, and offers a consolidated review of the metabolic processes and applications of M. maripaludis. Further, it develops, validates and analyzes the first genome-scale metabolic model (iMM518) of M. maripaludis. Readers will discover, for the first time, the impact of nitrogen fixation on methane production. As such, the thesis will be of interest to researchers working on M. maripaludis, biofuels and bioenergy, systems biology modeling and its experimental validation, estimation of maintenance energy parameters, nitrogen fixing microbes, and bioremediation.

Chemistry. --- Renewable energy resources. --- Biochemical engineering. --- Systems biology. --- Renewable energy sources. --- Alternate energy sources. --- Green energy industries. --- Environmental engineering. --- Biotechnology. --- Biochemical Engineering. --- Environmental Engineering/Biotechnology. --- Renewable and Green Energy. --- Systems Biology. --- Renewable natural resources. --- Microbial metabolism. --- Methylotrophic bacteria. --- Bacteria, Methylotrophic --- Bacterial metabolism --- Metabolism, Bacterial --- Microorganisms --- Metabolism --- Autotrophic bacteria --- Methylotrophic microorganisms --- Physiology --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Chemical engineering --- Genetic engineering --- Bio-process engineering --- Bioprocess engineering --- Biochemistry --- Biotechnology --- Biological systems. --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Environmental control --- Environmental effects --- Environmental stresses --- Engineering --- Environmental health --- Environmental protection --- Pollution --- Sustainable engineering --- Philosophy