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Friday, May 8, 2020 | History

4 edition of Nonlinear cooperative phenomena in biological systems found in the catalog.

Nonlinear cooperative phenomena in biological systems

proceedings of the Adriatico Research Conference, ICTP, Trieste, Italy, 19-22 August 1997

by Adriatico Research Conference (1997 Trieste, Italy)

  • 330 Want to read
  • 11 Currently reading

Published by World Scientific in Singapore, River Edge, NJ .
Written in English

    Subjects:
  • Biological systems -- Congresses.,
  • Chaotic behavior in systems -- Congresses.,
  • Cell biology -- Congresses.,
  • Molecular biology -- Congresses.

  • Edition Notes

    Includes bibliographical references.

    Statementeditor, L. Matsson.
    ContributionsMatsson, L., International Centre for Theoretical Physics.
    Classifications
    LC ClassificationsQH313 .A38 1997
    The Physical Object
    Paginationxiv, 339 p. :
    Number of Pages339
    ID Numbers
    Open LibraryOL373258M
    ISBN 109810234546
    LC Control Number98034936

    Nonlinear equations describe fundamental physical phenomena in nature ranging from chaotic behaviour in biological systems, plasma containment in tokamaks and stellarators for energy generation, to solitonic fibre optical communication devices.   This book is a compilation of the presentations given at the Fourth International Symposium on Fractals in Biology and Medicine held in Ascona, Switzerland on - th 13 March and was dedicated to Professor Benoît Mandelbrot in honour of his 80 birthday. The Symposium was the fourth of a series that originated back in , always in Ascona.

    All biological systems can be classified as open, dissipative and non-linear. This review introduces the most typical phenomena associated with non-linearity, dissipation and openness in biological systems. Namely, damped oscillations, self-oscillations, synchronisation, chaotic and noise-induced oscillations are explained, and illustrated by examples from various biological by: A biological system is a complex network of biologically relevant entities. Biological organization spans several scales and are determined based different structures depending on what the system is. Examples of biological systems at the macro scale are populations of the organ and tissue scale in mammals and other animals, examples include the circulatory system, the respiratory.

    The problem of predictability in chaotic nonlinear systems is one of the most important and difficult subjects in modern nonlinear science. In its application to geophysics and, especially, earthquake prediction, it presents both a profound intellectual problem .   This type of structural robustness is also a common feature of nonlinear systems, exemplified by the fundamental role played by dynamical fixed points and attractors and by the use of generic equations (logistic map, Fisher–Kolmogorov equation, the Stefan problem, etc.) in the study of a plethora of nonlinear phenomena. However, biological Cited by:


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Nonlinear cooperative phenomena in biological systems by Adriatico Research Conference (1997 Trieste, Italy) Download PDF EPUB FB2

Effects of Long-Range Dispersion in Nonlinear Dynamics of DNA Molecules (Yu B Gaididei et al.) Investigations — A Beginning Draft (S A Kauffman) Cooperative Interactions in DNA Systems (B Norden) and other papers; Readership: Biological scientists and applied mathematicians.

His research has been in different aspects of Nonlinear Science, some more theoretical as symmetry and bifurcation theory with application to reaction diffusion systems and some more applied as localized nonlinear waves, reaction rate theory, defects in semiconductors and breathers and kinks in crystals and biological systems as DNA and proteins; or neutron spectroscopy of nonlinear : Hardcover.

Nonlinear Systems, Vol. 2 Nonlinear Phenomena in Biology, Optics and Condensed Matter. Editors: Archilla, J.F.R., defects in semiconductors and breathers and kinks in crystals and biological systems as DNA and proteins; or neutron spectroscopy of nonlinear vibrations.

Book Title Nonlinear Systems, Vol. 2 Book Subtitle Nonlinear. Cooperative Phenomena in Biology deals with cooperation in biology and covers topics such as cooperative specific adsorption; the kinetics of oxygen binding to hemoglobin; allosteric control of cooperative adsorption and conformation changes; and cooperativity in biological surfaces responding to topical Edition: 1.

This monograph is intended for biologists, physicists, chemists, and mathematicians. Show less. Cooperative Phenomena in Biology deals with cooperation in biology and covers topics such as cooperative specific adsorption; the kinetics of oxygen binding to hemoglobin; allosteric control of cooperative adsorption and conformation changes; and cooperativity in biological surfaces.

Nonlinear Effects of Electromagnetic Fields on Whole Organisms, Living Tissues and Tissue Preparations --Nonlinear, Nonequilibrium Aspects of Electromagnetic Field Interactions at Cell Membranes --Use of Bone Cell Hormone Response Systems to Investigate Bioelectromagnetic Effects on Membranes In Vitro --Strong Interactions of Radiofrequency Fields With Nucleic Acid --Nonthermal.

This 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.

phase-plane analysis describes nonlinear phenomena such as limit cycles and multiple equilibria of second-order systems in an efficient manner. The theory of differential equations has led to a highly developed stability theory for some classes of nonlinear systems. (Though, of course, an engineer cannot live by stability alone.) Functional.

In mathematics and science, a nonlinear system is a system in which the change of the output is not proportional to the change of the input. Nonlinear problems are of interest to engineers, biologists, physicists, mathematicians, and many other scientists because most systems are inherently nonlinear in nature.

Nonlinear dynamical systems, describing changes in variables over time, may appear. knowledge of (high-school) chemistry, which is needed for a discussion of molecular phenomena, such as chemical bonds.

How this book is organized The first four chapters cover the basics of mathematical modelling in molecular systems biology. These should be read sequentially. The last four chapters address specific biological domains. TheFile Size: 5MB. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.

Modelling the Dynamics of Biological Systems Nonlinear Phenomena and Pattern Formation. Editors (view affiliations) They demonstrate that the concepts and methods of the newly developed fields of nonlinear dynamics and complex systems theory, combined with irreversible thermodynamics and far-from-equilibrium statistical mechanics, enable us.

Many novel cooperative phenomena found in a variety of systems studied by scientists can be treated using the uniting principles of synergetics. Examples are frustrated and random systems, polymers, spin glasses, neural networks, chemical and biological systems, and fluids.

In this book attention is focused on two main problems. Nonlinear systems in medicine. John P. Higgins. Nonlinear thinking has grown among physiologists and physicians over the past century, and non-linear system theories are beginning to be applied to assist in interpreting, explaining, and predicting biological phenomena.

Chaos theory describes elements manifesting behavior that is extremely. Cooperative Phenomena in Biology deals with cooperation in biology and covers topics such as cooperative specific adsorption; the kinetics of oxygen binding to hemoglobin; allosteric control of cooperative adsorption and conformation changes; and cooperativity in biological surfaces responding to topical cturer: Pergamon.

Nonlinear optical imaging allows both structural and functional imaging with cellular level resolution imaging in biological systems. The introduction of endogenous or exogenous probes can selectively enhance contrast for molecular targets in a living cell as well. Such systems are of interest in their own right and also as a type of linearization of nonlinear systems.

The systems of the form y' = A (t, y)y, with a nonlinear vector term a(t, x) added on the right hand side, were studied by R. Conti, in connection with boundary value problems. The asymptotic behavior of solutions was studied by Corduneanu and Kartsatos; the latter introduced multivalued fixed point.

Like inanimate matter, biological matter is condensed, though it may be more complex. However, a living cell is a chemically open system with biological functions that are often a nonstationary, nonlinear type of collective phenomena driven by chemical reactants, e.g.

ATP, GTP, ligands and receptors. Biological, not mechanical systems Health care is provided to biological, not mechanical systems. The focus of attention is a human being, not an automobile or clock. Biological systems are highly complex and their behavior can be nonlinear.

By understanding this difference, we can begin to answer the question of how do we control spiraling costs. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and.

Advanced algorithms can help to identify functional relationships of genes in a biological process, discovery sequence, and structural similarities and provide insights into the regulatory Author: Leif Matsson.This procedural volume provides a discussion of nonlinear cooperative phenomena in biological systems.

Topics addressed include: Monte Carlo simulations of biological ageing; transition in evolutionary dynamics; and punctuated equilibria and self-organized criticality.This book will be of interest to graduate students and researchers in physics (nonlinear dynamics, fluid dynamics, solid-state, cellular automata, stochastic processes, statistical mechanics and thermodynamics), mathematics (dynamical systems, ergodic and probability theory), information and computer science (coding, information theory and.