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 #  AuthorTitleAccn#YearItem Type Claims
11 Koshlan, Tatiana Mathematical Modeling of Protein Complexes I08862 2018 eBook  
12 Akhmet, Marat Replication of Chaos in Neural Networks, Economics and Physics I08638 2016 eBook  
13 L??ssig, M Biological Evolution and Statistical Physics I11132 2002 eBook  
14 Freund, Jan A Stochastic Processes in Physics, Chemistry, and Biology I10842 2000 eBook  
15 Bazzani, Armando Metodi matematici per la teoria dell???evoluzione I08155 2011 eBook  
16 Atay, Fatihcan M Complex Time-Delay Systems I07720 2010 eBook  
17 Thiriet, Marc Diseases of the Cardiac Pump I07484 2015 eBook  
18 Hagen, Stephen J The Physical Basis of Bacterial Quorum Communication I07438 2015 eBook  
19 Spagnolie, Saverio E Complex Fluids in Biological Systems I07428 2015 eBook  
20 Scott, Alwyn C The Nonlinear Universe I07357 2007 eBook  
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11.    
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TitleMathematical Modeling of Protein Complexes
Author(s)Koshlan, Tatiana;Kulikov, Kirill
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXIV, 367 p. 65 illus., 48 illus. in color : online resource
Abstract NoteThis book is devoted to the physical and mathematical modeling of the formation of complexes of protein molecules. The models developed show remarkable sensitivity to the amino acid sequences of proteins, which facilitates experimental studies and allows one to reduce the associated costs by reducing the number of measurements required according to the developed criteria. These models make it possible to reach a conclusion about the interactions between different amino acid chains and to identify more stable sites on proteins. The models also take the phosphorylation of amino acid residues into account. At the end of the book, the authors present possible directions of application of their physical and mathematical models in clinical medicine
ISBN,Price9783319983042
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOMATHEMATICS 4. Biomedical engineering 5. Biomedical Engineering and Bioengineering 6. BIOPHYSICS 7. EBOOK 8. EBOOK - SPRINGER 9. Mathematical and Computational Biology 10. Numerical and Computational Physics, Simulation 11. PHYSICS 12. Protein Structure 13. Proteins??
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12.     
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TitleReplication of Chaos in Neural Networks, Economics and Physics
Author(s)Akhmet, Marat;Fen, Mehmet Onur
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2016.
DescriptionXV, 457 p. 141 illus., 133 illus. in color : online resource
Abstract NoteThis book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever book to consider chaos as an input for differential and hybrid equations. Chaotic sets and chaotic functions are used as inputs for systems with attractors: equilibrium points, cycles and tori. The findings strongly suggest that chaos theory can proceed from the theory of differential equations to a higher level than previously thought. The approach selected is conducive to the in-depth analysis of different types of chaos. The appearance of deterministic chaos in neural networks, economics and mechanical systems is discussed theoretically and supported by simulations. As such, the book offers a valuable resource for mathematicians, physicists, engineers and economists studying nonlinear chaotic dynamics
ISBN,Price9783662475003
Keyword(s)1. Applications of Nonlinear Dynamics and Chaos Theory 2. BIOMATHEMATICS 3. Difference and Functional Equations 4. DIFFERENCE EQUATIONS 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. FUNCTIONAL EQUATIONS 10. Mathematical and Computational Biology 11. MECHANICS 12. Mechanics, Applied 13. STATISTICAL PHYSICS 14. Theoretical and Applied Mechanics
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13.     
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TitleBiological Evolution and Statistical Physics
Author(s)L??ssig, M;Valleriani, A
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2002.
DescriptionXII, 342 p : online resource
Abstract NoteThis set of lecture notes gives a first coherent account of a novel aspect of the living world that can be called biological information. The book presents both a pedagogical and state-of-the art roadmap of this rapidly evolving area and covers the whole field, from information which is encoded in the molecular genetic code to the description of large-scale evolution of complex species networks. The book will prove useful for all those who work at the interface of biology, physics and information science
ISBN,Price9783540456926
Keyword(s)1. BIOINFORMATICS 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. BIOMATHEMATICS 5. BIOPHYSICS 6. COMPLEX SYSTEMS 7. DYNAMICAL SYSTEMS 8. EBOOK 9. EBOOK - SPRINGER 10. Evolutionary Biology 11. Mathematical and Computational Biology 12. STATISTICAL PHYSICS 13. Statistical Physics and Dynamical Systems
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14.     
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TitleStochastic Processes in Physics, Chemistry, and Biology
Author(s)Freund, Jan A;P??schel, Thorsten
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2000.
DescriptionX, 518 p : online resource
Abstract NoteThe theory of stochastic processes originally grew out of efforts to describe Brownian motion quantitatively. Today it provides a huge arsenal of methods suitable for analyzing the influence of noise on a wide range of systems. The credit for acquiring all the deep insights and powerful methods is due ma- ly to a handful of physicists and mathematicians: Einstein, Smoluchowski, Langevin, Wiener, Stratonovich, etc. Hence it is no surprise that until - cently the bulk of basic and applied stochastic research was devoted to purely mathematical and physical questions. However, in the last decade we have witnessed an enormous growth of results achieved in other sciences - especially chemistry and biology - based on applying methods of stochastic processes. One reason for this stochastics boom may be that the realization that noise plays a constructive rather than the expected deteriorating role has spread to communities beyond physics. Besides their aesthetic appeal these noise-induced, noise-supported or noise-enhanced effects sometimes offer an explanation for so far open pr- lems (information transmission in the nervous system and information p- cessing in the brain, processes at the cell level, enzymatic reactions, etc.). They may also pave the way to novel technological applications (noise-- hanced reaction rates, noise-induced transport and separation on the na- scale, etc.). Key words to be mentioned in this context are stochastic r- onance, Brownian motors or ratchets, and noise-supported phenomena in excitable systems
ISBN,Price9783540453963
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOMATHEMATICS 4. BIOPHYSICS 5. COMPLEX SYSTEMS 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. Mathematical and Computational Biology 10. PHYSICAL CHEMISTRY 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems
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15.     
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TitleMetodi matematici per la teoria dell???evoluzione
Author(s)Bazzani, Armando;Buiatti, Marcello;Freguglia, Paolo
PublicationMilano, 1. Imprint: Springer 2. Springer Milan, 2011.
DescriptionIX, 191 pagg : online resource
Abstract NoteEsistono ormai da tempo molti articoli, in particolar modo su riviste di biomatematica, di (bio)fisica e di biologia, che presentano proposte e risultati di modellistica matematica relativi direttamente ed indirettamente alla teoria dell???evoluzione. Sicuramente questi studi sono da considerarsi cruciali per l???istituzione della biologia teorica. I temi da prendere in esame sono dapprima le convinzioni che i biologi hanno in merito. Quindi un???analisi dei precedenti tentativi di formulare una teoria matematica dell???evoluzione, nonch?? i relativi sviluppi e insuccessi a cui abbiamo assistito nell???ambito della "teoria della complessit??". La nostra proposta consiste dunque nel realizzare una teoria matematicamente formulata e biologicamente ben fondata dell???evoluzione con specifico e giustificato riferimento a quella fenotipica. Quindi su questa base costruiamo sia di un modello geometrico sia un modello dinamico stocastico. In questo modo, pur tenendo presente l???intrinseca insufficienza dell???approccio riduzionista in biologia, si tenta di dare alcune risposte che hanno una corrispondenza biologica significativa
ISBN,Price9788847008588
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOMATHEMATICS 4. BIOPHYSICS 5. EBOOK 6. EBOOK - SPRINGER 7. Evolutionary Biology 8. Mathematical and Computational Biology 9. PROBABILITIES 10. Probability Theory and Stochastic Processes
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16.     
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TitleComplex Time-Delay Systems : Theory and Applications
Author(s)Atay, Fatihcan M
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2010.
DescriptionXII, 328 p : online resource
Abstract NoteTime delays in dynamical systems arise as an inevitable consequence of finite speeds of information transmission. Realistic models increasingly demand the inclusion of delays in order to properly understand, analyze, design, and control real-life systems. The goal of this book is to present the state-of-the-art in research on time-delay dynamics in the framework of complex systems and networks. While the mathematical theory of delay equations is quite mature, its application to the particular problems of complex systems and complexity is a newly emerging field, and the present volume aims to play a pioneering role in this perspective. The chapters in this volume are authored by renowned experts and cover both theory and applications in a wide range of fields, with examples extending from neuroscience and biology to laser physics and vehicle traffic. Furthermore, all chapters include sufficient introductory material and extensive bibliographies, making the book a self-contained reference for both students and active researchers alike
ISBN,Price9783642023293
Keyword(s)1. BIOMATHEMATICS 2. COMPLEX SYSTEMS 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. GAME THEORY 9. Game Theory, Economics, Social and Behav. Sciences 10. Information and Communication, Circuits 11. INFORMATION THEORY 12. Mathematical and Computational Biology 13. STATISTICAL PHYSICS 14. SYSTEM THEORY 15. Systems Theory, Control
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17.     
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TitleDiseases of the Cardiac Pump
Author(s)Thiriet, Marc
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2015.
DescriptionXVI, 631 p. 7 illus., 1 illus. in color : online resource
Abstract NoteTogether, the volumes in this series present all of the data needed at various length scales for a multidisciplinary approach to modeling and simulation of flows in the cardiovascular and ventilatory systems, especially multiscale modeling and coupled simulations. The cardiovascular and respiratory systems are tightly coupled, as their primary function is to supply oxygen to and remove carbon dioxide from the body's cells. Because physiological conduits have deformable and reactive walls, macroscopic flow behavior and prediction must be coupled to nano- and microscopic events in a corrector scheme of regulated mechanism. Therefore, investigation of flows of blood and air in anatomical conduits requires an understanding of the biology, chemistry, and physics of these systems together with the mathematical tools to describe their functioning in quantitative terms. The present volume focuses on macroscopic aspects of the cardiovascular and respiratory systems in pathological conditions, i.e., diseases of the cardiac pump, blood vessels, and airways, as well as their treatments. Only diseases that have a mechanical origin or are associated with mechanical disorders are covered. Local flow disturbances can trigger pathophysiological processes or, conversely, result from diseases of conduit walls or their environment. The ability to model these phenomena is essential to the development and manufacturing of medical devices, which incorporate a stage of numerical tests in addition to experimental procedures
ISBN,Price9783319126647
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOMATHEMATICS 4. Biomedical engineering 5. Biomedical Engineering and Bioengineering 6. BIOPHYSICS 7. CARDIOLOGY 8. EBOOK 9. EBOOK - SPRINGER 10. Engineering Fluid Dynamics 11. FLUID MECHANICS 12. Mathematical and Computational Biology 13. Systems biology
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18.     
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TitleThe Physical Basis of Bacterial Quorum Communication
Author(s)Hagen, Stephen J
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2015.
DescriptionIX, 252 p. 75 illus., 47 illus. in color : online resource
Abstract NoteThis book aims to educate physical scientists and quantitatively-oriented biologists on the application of physical experimentation and analysis, together with appropriate modeling, to understanding and interpreting microbial chemical communication and especially quorum sensing (QS). Quorum sensing describes a chemical communication behavior that is nearly universal among bacteria. Individual cells release a diffusible small molecule (an autoinducer) into their environment. A high concentration of this autoinducer serves as a signal of high population density, triggering new patterns of gene expression throughout the population. However QS is often much more complex than simple census-taking. Many QS bacteria produce and detect multiple autoinducers, which generate quorum signal cross talk with each other and with other bacterial species. QS gene regulatory networks operate in physically complex environments and respond to a range of inputs in addition to autoinducer signals. While many individual QS systems have been characterized in great molecular and chemical detail, quorum communication raises fundamental quantitative problems that increasingly attract the attention of physical scientists and mathematicians. Key questions include: What kinds of information can a bacterium gather about its environment through QS? How do QS regulatory networks employ feedback and nonlinearity, and how do they modulate or manage gene regulatory noise? How does QS function in complex, spatially structured environments such as biofilms? What physical and chemical factors in the environment ultimately constrain diffusion-based communication? What types of physical phenomena, such as motility and hysteresis, can be facilitated by QS? How can we manipulate and interpret QS behavior in complex physical environments and artificial structures? Previous books and reviews have focused on the microbiology and biochemistry of QS. With contributions by leading scientists and mathematicians working in the field of physical biology, this volume examines the interplay of diffusion and signaling, collective and coupled dynamics of gene regulation, and spatiotemporal QS phenomena. Chapters describe experimental studies of QS in natural and engineered or microfabricated bacterial environments, as well as theory and modeling of QS on intracellular as well as extracellular, macroscopic length scales. ?????????????????? Analyzes bacterial quorum sensing from a physical and mathematical perspective ?????????????????? Explores the role of spatiotemporal diffusion, physical environment, regulatory dynamics, stochasticity and information in quorum communication ?????????????????? Includes contributions from leading experimentalists, theoreticians, engineers and modelers ?????????????????? Takes a physical science and engineering approach to the subject, but will appeal to anyone with an interest in physical biology
ISBN,Price9781493914029
Keyword(s)1. Bacteriology 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. Biological systems 5. BIOMATHEMATICS 6. BIOPHYSICS 7. EBOOK 8. EBOOK - SPRINGER 9. Gene expression 10. Mathematical and Computational Biology 11. Mathematical Modeling and Industrial Mathematics 12. MATHEMATICAL MODELS 13. Systems biology
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19.     
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TitleComplex Fluids in Biological Systems : Experiment, Theory, and Computation
Author(s)Spagnolie, Saverio E
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2015.
DescriptionXX, 440 p. 125 illus., 95 illus. in color : online resource
Abstract NoteThis book serves as an introduction to the continuum mechanics and mathematical modeling of complex fluids in living systems. The form and function of living systems are intimately tied to the nature of surrounding fluid environments, which commonly exhibit nonlinear and??history dependent??responses to forces and displacements. With ever-increasing capabilities in the visualization and manipulation of biological systems, research on the fundamental phenomena, models, measurements, and analysis of complex fluids has taken a number of exciting directions. In this book, many of the world???s foremost experts explore key topics such as: Macro- and micro-rheological techniques for measuring the material properties of complex biofluids and the subtleties of data interpretation Experimental observations and rheology of complex biological materials, including mucus, cell membranes, the cytoskeleton, and blood The motility of microorganisms in complex fluids and the dynamics of active suspensions Challenges and solutions in the numerical simulation of biologically relevant complex fluid flows This volume will be accessible to advanced undergraduate and beginning graduate students in engineering, mathematics, biology, and the physical sciences, but will appeal to anyone interested in the intricate and beautiful nature of complex fluids in the context of living systems
ISBN,Price9781493920655
Keyword(s)1. Amorphous substances 2. Biological and Medical Physics, Biophysics 3. BIOLOGICAL PHYSICS 4. BIOMATHEMATICS 5. BIOPHYSICS 6. Cell physiology 7. Complex fluids 8. EBOOK 9. EBOOK - SPRINGER 10. Engineering Fluid Dynamics 11. FLUID MECHANICS 12. Mathematical and Computational Biology 13. Soft and Granular Matter, Complex Fluids and Microfluidics
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20.    
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TitleThe Nonlinear Universe : Chaos, Emergence, Life
Author(s)Scott, Alwyn C
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2007.
DescriptionXIV, 364 p. 86 illus : online resource
Abstract NoteWritten in Alwyn Scott???s inimitable style ??? lucid and accessible ??? The Nonlinear Universe surveys and explores the explosion of activity in nonlinear science that began in the 1970s and 1980s and continues today. The book explains the wide-ranging implications of nonlinear phenomena for future developments in many areas of modern science, including mathematics, physics, engineering, chemistry, biology, and neuroscience. Arguably as important as quantum theory, modern nonlinear science ??? and an appreciation of its implications ??? is essential for understanding scientific developments of the twenty-first century
ISBN,Price9783540341536
Keyword(s)1. BIOMATHEMATICS 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING 7. Engineering, general 8. Mathematical and Computational Biology 9. MATHEMATICAL PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. Theoretical, Mathematical and Computational Physics
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