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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
La Porta, Caterina AM |
Understanding Innovation Through Exaptation |
I08919 |
2020 |
eBook |
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| 12 |
Kevrekidis, Panayotis G |
Emerging Frontiers in Nonlinear Science |
I08810 |
2020 |
eBook |
|
| 13 |
Zakharova, Anna |
Chimera Patterns in Networks |
I08801 |
2020 |
eBook |
|
| 14 |
Poncela Casasnovas, Julia |
Evolutionary Games in Complex Topologies |
I08227 |
2012 |
eBook |
|
| 15 |
Constable, George William Albert |
Fast Variables in Stochastic Population Dynamics |
I08002 |
2015 |
eBook |
|
| 16 |
Hramov, Alexander E |
Wavelets in Neuroscience |
I07930 |
2015 |
eBook |
|
| 17 |
Gross, Thilo |
Adaptive Networks |
I07883 |
2009 |
eBook |
|
| 18 |
Thiriet, Marc |
Diseases of the Cardiac Pump |
I07484 |
2015 |
eBook |
|
| 19 |
Bertin, Eric |
A Concise Introduction to the Statistical Physics of Complex Systems |
I07446 |
2012 |
eBook |
|
| 20 |
Hagen, Stephen J |
The Physical Basis of Bacterial Quorum Communication |
I07438 |
2015 |
eBook |
|
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11.
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| Title | Understanding Innovation Through Exaptation |
| Author(s) | La Porta, Caterina AM;Zapperi, Stefano;Pilotti, Luciano |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | X, 194 p. 50 illus., 40 illus. in color : online resource |
| Abstract Note | This book explores the role of exaptation in diverse areas of life, with examples ranging from biology to economics, social sciences and architecture. The concept of exaptation, introduced in evolutionary biology by Gould and Vrba in 1982, describes the possibility that already existing traits can be exploited for new purposes throughout the evolutionary process. Edited by three active scholars in the fields of biology, physics and economics, the book presents an interdisciplinary collection of expert viewpoints illustrating the importance of exaptation for interpreting current reality in various fields of investigation. Using the lenses of exaptation, the contributing authors show how to view the overall macroscopic landscape as comprising many disciplines, all working in unity within a single complex system. This book is the first to discuss exaptation in both hard and soft disciplines and highlights the role of this concept in understanding the birth of innovation by identifying key elements and ideas. It also offers a comprehensive guide to the emerging interdisciplinary field of exaptation, provides didactic explanations of the basic concepts, and avoids excessive jargon and heavy formalism. Its target audience includes graduate students in physics, biology, mathematics, economics, psychology and architecture; it will also appeal to established researchers in the humanities who wish to explore or enter this new science-driven interdisciplinary field |
| ISBN,Price | 9783030457846 |
| Keyword(s) | 1. Biological systems
2. Cancer Research
3. CITY PLANNING
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Evolutionary Biology
9. STATISTICAL PHYSICS
10. Systems biology
11. Urban planning
12. Urbanism
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08919 |
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On Shelf |
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12.
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| Title | Emerging Frontiers in Nonlinear Science |
| Author(s) | Kevrekidis, Panayotis G;Cuevas-Maraver, Jes??s;Saxena, Avadh |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XXV, 373 p. 104 illus., 85 illus. in color : online resource |
| Abstract Note | This book explores the impact of nonlinearity on a broad range of areas, including time-honored fields such as biology, geometry, and topology, but also modern ones such as quantum mechanics, networks, metamaterials and artificial intelligence. The concept of nonlinearity is a universal feature in mathematics, physics, chemistry and biology, and is used to characterize systems whose behavior does not amount to a superposition of simple building blocks, but rather features complex and often chaotic patterns and phenomena. Each chapter of the book features a synopsis that not only recaps the recent progress in each field but also charts the challenges that lie ahead. This interdisciplinary book presents contributions from a diverse group of experts from various fields to provide an overview of each field???s past, present and future. It will appeal to both beginners and seasoned researchers in nonlinear science, numerous areas of physics (optics, quantum physics, biophysics), and applied mathematics (ODEs, PDEs, dynamical systems, machine learning) as well as engineering |
| ISBN,Price | 9783030449926 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. Applications of Nonlinear Dynamics and Chaos Theory
3. Biological systems
4. COMPLEX SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. MATHEMATICAL PHYSICS
8. PHYSICS
9. QUANTUM COMPUTERS
10. Quantum computing
11. STATISTICAL PHYSICS
12. SYSTEM THEORY
13. Systems biology
14. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08810 |
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On Shelf |
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13.
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| Title | Chimera Patterns in Networks : Interplay between Dynamics, Structure, Noise, and Delay |
| Author(s) | Zakharova, Anna |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XI, 233 p. 136 illus., 131 illus. in color : online resource |
| Abstract Note | This is the first book devoted to chimera states - peculiar partial synchronization patterns in networks. Providing an overview of the state of the art in research on this topic, it explores how these hybrid states, which are composed of spatially separated domains of synchronized and desynchronized behavior, arise surprisingly in networks of identical units and symmetric coupling topologies. The book not only describes various types of chimeras, but also discusses the role of time delay, stochasticity, and network topology for these synchronization-desynchronization patterns. Moreover, it addresses the question of robustness and control of chimera states, which have various applications in physics, biology, chemistry, and engineering. This book is intended for researchers with a background in physics, applied mathematics, or engineering. Of great interest to specialists working on related problems, it is also a valuable resource for newcomers to the field and other scientists working on the control of spatio-temporal patterns |
| ISBN,Price | 9783030217143 |
| Keyword(s) | 1. Biological systems
2. COMPLEX SYSTEMS
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK - SPRINGER
6. Mathematical Methods in Physics
7. PHYSICS
8. STATISTICAL PHYSICS
9. Statistical Physics and Dynamical Systems
10. SYSTEM THEORY
11. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08801 |
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On Shelf |
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14.
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| Title | Evolutionary Games in Complex Topologies : Interplay Between Structure and Dynamics |
| Author(s) | Poncela Casasnovas, Julia |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | XIV, 158 p : online resource |
| Abstract Note | There are many examples of cooperation in Nature: cells cooperate to form tissues, organs cooperate to form living organisms, and individuals cooperate to raise their offspring or to hunt. However, why cooperation emerges and survives in hostile environments, when defecting would be a much more profitable short-term strategy, is a question that still remains open. During the past few years, several explanations have been proposed, including kin and group selection, punishment and reputation mechanisms, or network reciprocity. This last one will be the center of the present study. The thesis explores the interface between the underlying structure of a given population and the outcome of the cooperative dynamics taking place on top of it, (namely, the Prisoner's Dilemma Game). The first part of this work analyzes the case of a static system, where the pattern of connections is fixed, so it does not evolve over time. The second part develops two models for growing topologies, where the growth and the dynamics are entangled |
| ISBN,Price | 9783642301179 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. GAME THEORY
6. Game Theory, Economics, Social and Behav. Sciences
7. STATISTICAL PHYSICS
8. Statistical Physics and Dynamical Systems
9. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08227 |
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On Shelf |
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15.
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| Title | Fast Variables in Stochastic Population Dynamics |
| Author(s) | Constable, George William Albert |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XVII, 163 p. 40 illus., 31 illus. in color : online resource |
| Abstract Note | ??In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic stochasticity, for experts and non-experts alike. ?? Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem.?? When used in the context of of deterministic systems, the theory is quite standard, but when stochastic effects are present, it becomes less straightforward to apply. ?? While the introductory and background chapters form an excellent primer to the theory of stochastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology. ?? |
| ISBN,Price | 9783319212180 |
| Keyword(s) | 1. Biological systems
2. BIOMATHEMATICS
3. Community & Population Ecology
4. Community ecology, Biotic
5. Data-driven Science, Modeling and Theory Building
6. EBOOK
7. EBOOK - SPRINGER
8. ECONOPHYSICS
9. Genetics and Population Dynamics
10. Sociophysics
11. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08002 |
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On Shelf |
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16.
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| Title | Wavelets in Neuroscience |
| Author(s) | Hramov, Alexander E;Koronovskii, Alexey A;Makarov, Valeri A;Pavlov, Alexey N;Sitnikova, Evgenia |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2015. |
| Description | XVI, 318 p. 138 illus., 20 illus. in color : online resource |
| Abstract Note | This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been carried out in these fields over the last decade. Chapters 1 and 2 introduce and review the relevant foundations of neurophysics and wavelet theory, respectively, pointing on one hand to the various current challenges in neuroscience and introducing on the other the mathematical techniques of the wavelet transform in its two variants (discrete and continuous) as a powerful and versatile tool for investigating the relevant neuronal dynamics. Chapter 3 then analyzes results from examining individual neuron dynamics and intracellular processes. The principles for recognizing neuronal spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches based on wavelet neural networks (chapter 4). The features of time-frequency organization of EEG signals are then extensively discussed, from theory to practical applications (chapters 5 and 6). Lastly, the technical details of automatic diagnostics and processing of EEG signals using wavelets are examined (chapter 7). The book will be a useful resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for gradua te students specializing in the corresponding areas |
| ISBN,Price | 9783662438503 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. Applications of Nonlinear Dynamics and Chaos Theory
3. BIOMATHEMATICS
4. EBOOK
5. EBOOK - SPRINGER
6. IMAGE PROCESSING
7. NEUROBIOLOGY
8. PHYSICS
9. Physiological, Cellular and Medical Topics
10. SIGNAL PROCESSING
11. Signal, Image and Speech Processing
12. Speech processing systems
13. STATISTICAL PHYSICS
14. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07930 |
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On Shelf |
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17.
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| Title | Adaptive Networks : Theory, Models and Applications |
| Author(s) | Gross, Thilo;Sayama, Hiroki |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2009. |
| Description | XIX, 332 p. 13 illus. in color : online resource |
| Abstract Note | With adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled. Recent research has shown that such networks can exhibit a plethora of new phenomena which are ultimately required to describe many real-world networks. Some of those phenomena include robust self-organization towards dynamical criticality, formation of complex global topologies based on simple, local rules, and the spontaneous division of "labor" in which an initially homogenous population of network nodes self-organizes into functionally distinct classes. These are just a few. This book is a state-of-the-art survey of those unique networks. In it, leading researchers set out to define the future scope and direction of some of the most advanced developments in the vast field of complex network science and its applications |
| ISBN,Price | 9783642012846 |
| Keyword(s) | 1. APPLICATION SOFTWARE
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Information Systems Applications (incl. Internet)
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. SYSTEM THEORY
12. Systems biology
13. Systems Theory, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07883 |
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On Shelf |
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18.
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| Title | Diseases of the Cardiac Pump |
| Author(s) | Thiriet, Marc |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XVI, 631 p. 7 illus., 1 illus. in color : online resource |
| Abstract Note | Together, 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,Price | 9783319126647 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07484 |
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On Shelf |
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19.
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| Title | A Concise Introduction to the Statistical Physics of Complex Systems |
| Author(s) | Bertin, Eric |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2012. |
| Description | X, 77 p. 4 illus : online resource |
| Abstract Note | This concise primer (based on lectures given at summer schools on complex systems and on a masters degree course in complex systems modeling) will provide graduate students and newcomers to the field with the basic knowledge of the concepts and methods of statistical physics and its potential for application to interdisciplinary topics. ??Indeed, in recent years, statistical physics has begun to attract the interest of a broad community of researchers in the field of complex system sciences, ranging from biology to the social sciences, economics and computer science. More generally, a growing number of graduate students and researchers feel the need to learn some basic concepts and questions originating in other disciplines without necessarily having to master all of the corresponding technicalities and jargon. Generally speaking, the goals of statistical physics may be summarized as follows: on the one hand to study systems composed of a large number of interacting ???entities???, and on the other to predict the macroscopic (or collective) behavior of the system considered from the microscopic laws ruling the dynamics of the individual ???entities???. These two goals are, to some extent, also shared by what is nowadays called ???complex systems science??? and for these reasons, systems studied in the framework of statistical physics may be considered as among the simplest examples of complex systems???allowing in addition a rather well developed mathematical treatment |
| ISBN,Price | 9783642239236 |
| Keyword(s) | 1. Biological systems
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. ECONOMIC THEORY
9. Economic Theory/Quantitative Economics/Mathematical Methods
10. GAME THEORY
11. Game Theory, Economics, Social and Behav. Sciences
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
14. Systems biology
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07446 |
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On Shelf |
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20.
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| Title | The Physical Basis of Bacterial Quorum Communication |
| Author(s) | Hagen, Stephen J |
| Publication | New York, NY, Springer New York, 2015. |
| Description | IX, 252 p. 75 illus., 47 illus. in color : online resource |
| Abstract Note | This 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,Price | 9781493914029 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07438 |
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On Shelf |
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