An Introduction To Zoo Biology And Management

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Author: Paul A. Rees
Publisher: John Wiley & Sons
ISBN: 9781444397833
Size: 55.68 MB
Format: PDF, Kindle
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An Introduction To Zoo Biology And Management by Paul A. Rees

Original Title: An Introduction To Zoo Biology And Management

This book is intended as an introductory text for students studying a wide range of courses concerned with animal management, zoo biology and wildlife conservation, and should also be useful to zookeepers and other zoo professionals. It is divided into three parts. Part 1 considers the function of zoos, their history, how zoos are managed, ethics, zoo legislation and wildlife conservation law. Part 2 discusses the design of zoos and zoo exhibits, animal nutrition, reproduction, animal behaviour (including enrichment and training), animal welfare, veterinary care, animal handling and transportation. Finally, Part 3 discusses captive breeding programmes, genetics, population biology, record keeping, and the educational role of zoos, including a consideration of visitor behaviour. It concludes with a discussion of the role of zoos in the conservation of species in the wild and in species reintroductions. This book takes an international perspective and includes a wide range of examples of the operation of zoos and breeding programmes particularly in the UK, Europe, North America and Australasia. Visit to access the artwork from the book.

Physical Theory In Biology

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Author: Charles J Lumsden
Publisher: World Scientific
ISBN: 981454633X
Size: 64.15 MB
Format: PDF, ePub
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Physical Theory In Biology by Charles J Lumsden

Original Title: Physical Theory In Biology

What is the physics of life and why does it matter? The essays in this book probe this question, celebrating modern biology's vibrant dialog with theoretical physics — a scientific adventure in which biological understanding is enriched by physical theory without losing its own inherent traditions and perspectives. The book explores organic complexity and self-organization through research applications to embryology, cell biology, behavioral neuroscience, and evolution. The essays will excite the interest of physics students in thinking about biology's “grand challenges”, in part by means of self-contained introductions to theoretical computer science, symmetry methods in bifurcation theory, and evolutionary games. Seasoned investigators in both the physical and life sciences will also find challenging ideas and applications presented in this volume. This is a Print On Demand title. We no longer stock the original but will recreate a copy for you. While all efforts are made to ensure that quality is the same as the original, there may be differences in some areas of the design and packaging. Contents:Foundations:Emergence in Physics and Biology (L E H Trainor)Holism and Reduction (C J Lumsden)Complexity: A Pluralistic Approach (W A M Brandts)Dynamics, Complexity and Computation (P A Dufort & C J Lumsden)Development: Field Approaches to Pattern Formation:Vector Field Models of Morphogenesis (W A M Brandts & J Totafurno)Symmetry Breaking Bifurcations (T M Hart & L E H Trainor)Development: Principles of Self-Organization:Generic Dynamics of Morphogenesis (B Goodwin)Toward a Model of Growth and Form in Living Systems (F Cummings)Living Organization, the Coherence of Organisms and the Morphogenetic Field (M W Ho et al.)Is Spatial Pattern Formation Homologous in Unicellular and Multicellular Organisms? (J Frankel)Cellular and Organismic Biology:Statistical Mechanics of the Main Phase Transition in Lipid Bilayers (F P Jones & P Tevlin)Multi-Neuron Interactions in Neural Network Models of Associative Memory (A E Busch & L E H Trainor)Network Hierarchies in Neural Organization, Development and Pathology (J P Sutton)Category Switching — A Neural Network Approach (L E H Trainor et al.)Evolution:A Model of Molecular Evolution Based on the Statistical Analysis of Nucleotide Sequences (L Luo)Codon Space: Exploring the Origins and Development of the Genetic Code (L E H Trainor et al.)Evolution of Development: The Shuffling of Ancient Modules by Ubiquitous Bureaucracies (E W Larsen)Game Theory in Biology (G W A Rowe) Readership: Physicial scientists, biologists, engineers, applied mathematicians and philosophers. keywords:Holism and Reductionism;Complexity;Symmetry;Emergent Property;Patterns;Neural Interactions;Statistical Models;Game Theory;Biology;Morphogenesis;Morphogens;Pattern Formation;Development;Epithelia Folding;Biological Modeling;Complexity;Physical Theory;Biological Regulation;Pattern Formation;Nonlinear Dynamics;Evolution;Developmental Field;Neural Networks;Collective Behavior;Genetic Code;Emergence;Reductionism;Holism;Self-Organization;Bifurcation Theory;Morphogenetic Field;Regeneration;Phase Transitions in Bilayers;Task Switching;Nucleotide Sequences;Molecular Evolution “The important issue here is not what physics theory has done for biology (which is not very much), but what it can do in the future, and to this end the book does a marvellous job of defining the arena.” Nature “… the scope of the articles is broad … The book should be of interest to scientists coming from biological, physical and mathematical sciences.”Bulletin for Mathematical Biology

Handbook Of Statistical Systems Biology

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Author: Michael Stumpf
Publisher: John Wiley & Sons
ISBN: 1119952042
Size: 21.96 MB
Format: PDF
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Handbook Of Statistical Systems Biology by Michael Stumpf

Original Title: Handbook Of Statistical Systems Biology

Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Power Laws Scale Free Networks And Genome Biology

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Author: Eugene V. Koonin
Publisher: Springer Science & Business Media
ISBN: 0387339167
Size: 24.74 MB
Format: PDF, Kindle
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Power Laws Scale Free Networks And Genome Biology by Eugene V. Koonin

Original Title: Power Laws Scale Free Networks And Genome Biology

Power Laws, Scale-free Networks and Genome Biology deals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks which have emerged as the hallmarks of biological organization in the post-genomic era. The chapters in the book not only describe the interesting mathematical properties of biological networks but moves beyond phenomenology, toward models of evolution capable of explaining the emergence of these features. The collection of chapters, contributed by both physicists and biologists, strives to address the problems in this field in a rigorous but not excessively mathematical manner and to represent different viewpoints, which is crucial in this emerging discipline. Each chapter includes, in addition to technical descriptions of properties of biological networks and evolutionary models, a more general and accessible introduction to the respective problems. Most chapters emphasize the potential of theoretical systems biology for discovery of new biological phenomena.

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