Principles and Applications
Author: James W. Haefner
Publisher: Springer Science & Business Media
This book is intended as a text for a first course on creating and analyzing computer simulation models of biological systems. The expected audience for this book are students wishing to use dynamic models to interpret real data mueh as they would use standard statistical techniques. It is meant to provide both the essential principles as well as the details and equa tions applicable to a few particular systems and subdisciplines. Biological systems, however, encompass a vast, diverse array of topics and problems. This book discusses only a select number of these that I have found to be useful and interesting to biologists just beginning their appreciation of computer simulation. The examples chosen span classical mathematical models of well-studied systems to state-of-the-art topics such as cellular automata and artificial life. I have stressed the relationship between the models and the biology over mathematical analysis in order to give the reader a sense that mathematical models really are useful to biologists. In this light, I have sought examples that address fundamental and, I think, interesting biological questions. Almost all of the models are directly COIIl pared to quantitative data to provide at least a partial demonstration that some biological models can accurately predict.
Author: Vishwesh V. Kulkarni,Guy-Bart Stan,Karthik Raman
The complexity of biological systems has intrigued scientists from many disciplines and has given birth to the highly influential field of systems biology wherein a wide array of mathematical techniques, such as flux balance analysis, and technology platforms, such as next generation sequencing, is used to understand, elucidate, and predict the functions of complex biological systems. More recently, the field of synthetic biology, i.e., de novo engineering of biological systems, has emerged. Scientists from various fields are focusing on how to render this engineering process more predictable, reliable, scalable, affordable, and easy. Systems and control theory is a branch of engineering and applied sciences that rigorously deals with the complexities and uncertainties of interconnected systems with the objective of characterising fundamental systemic properties such as stability, robustness, communication capacity, and other performance metrics. Systems and control theory also strives to offer concepts and methods that facilitate the design of systems with rigorous guarantees on these properties. Over the last 100 years, it has made stellar theoretical and technological contributions in diverse fields such as aerospace, telecommunication, storage, automotive, power systems, and others. Can it have, or evolve to have, a similar impact in biology? The chapters in this book demonstrate that, indeed, systems and control theoretic concepts and techniques can have a significant impact in systems and synthetic biology. Volume I provides a panoramic view that illustrates the potential of such mathematical methods in systems and synthetic biology. Recent advances in systems and synthetic biology have clearly demonstrated the benefits of a rigorous and systematic approach rooted in the principles of systems and control theory - not only does it lead to exciting insights and discoveries but it also reduces the inordinately lengthy trial-and-error process of wet-lab experimentation, thereby facilitating significant savings in human and financial resources. In Volume I, some of the leading researchers in the field of systems and synthetic biology demonstrate how systems and control theoretic concepts and techniques can be useful, or should evolve to be useful, in order to understand how biological systems function. As the eminent computer scientist Donald Knuth put it, "biology easily has 500 years of exciting problems to work on". This edited book presents but a small fraction of those for the benefit of (1) systems and control theorists interested in molecular and cellular biology and (2) biologists interested in rigorous modelling, analysis and control of biological systems.
Author: D. Sauvant,J. van Milgen,P. Faverdin,N. Friggens
Publisher: Springer Science & Business Media
For more than 30 years, modelling has been an important method for integrating, in a flexible, comprehensive and widely applicable way, basic knowledge and biological concepts on digestion and metabolism in farm animals. The purpose of this book is to present the 'state of art' in this area. The chapters are written by leading teams and researchers in this field of study, mainly from Europe, North America and Australasia. Considerable progress has been made in topics dealing with: modelling methods, feeding behaviour, digestion and metabolic processes in ruminants and monogastric animals. This progress is clearly illustrated by the emergence of a new paradigm in animal nutrition, which has moved from the aim to cover the requirements of the animal to explaining and predicting the responses of the animals to diets (e.g., productivity and efficiency, impact on quality of products, environmental aspects, health and well-being). In this book several chapters illustrate that through empirical models, meta-analysis is an efficient tool to synthesize information gathered over recent decades. In addition, compared with other books on modelling farm animal nutrition, two new aspects received particular attention: expanding knowledge of the individual animal to understanding the functioning and management of herds, and the consideration of the environmental impact of animal production. This book is a valuable source of information for researchers, nutritionists, advisors, and graduate students who want to have up-to-date and concise information on mathematical modelling applied to farm animals.
Infected Spaces Past and Present
Author: D. Ann Herring,Alan C. Swedlund
Category: Social Science
Until recently, plagues were thought to belong in the ancient past. Now there are deep worries about global pandemics. This book presents views from anthropology about this much publicized and complex problem. The authors take us to places where epidemics are erupting, waning, or gone, and to other places where they have not yet arrived, but where a frightening story line is already in place. They explore public health bureaucracies and political arenas where the power lies to make decisions about what is, and is not, an epidemic. They look back into global history to uncover disease trends and look ahead to a future of expanding plagues within the context of climate change. The chapters are written from a range of perspectives, from the science of modeling epidemics to the social science of understanding them. Patterns emerge when people are engulfed by diseases labeled as epidemics but which have the hallmarks of plague. There are cycles of shame and blame, stigma, isolation of the sick, fear of contagion, and end-of-the-world scenarios. Plague, it would seem, is still among us.
Author: Morton H. Friedman
Publisher: Springer Science & Business Media
Category: Technology & Engineering
Focus, Organization, and Content This book, like the first edition, deals with the mass transport processes that take place in living systems, with a focus on the normal behavior of eukaryotic cells and the - ganisms they constitute, in their normal physiological environment. As a consequence of this focus, the structure and content of the book differ from those of traditional transport texts. We do not start with the engineering principles of mass transport (which are well presented elsewhere) and then seek biological applications of these principles; rather, we begin with the biological processes themselves, and then - velop the models and analytical tools that are needed to describe them. This approach has several consequences. First of all, it drives the content of the text in a direction distinctively different from conventional transport texts. This is - cause the tools and models needed to describe complex biological processes are often different from those employed to describe more well-characterized inanimate systems. Many biological processes must still be described phenomenologically, using me- odologies like nonequilibrium thermodynamics. Simple electrical analogs employing a paucity of parameters can be more useful for characterization and prediction than complex theories based on the behavior of more well-defined systems on a laboratory bench. By allowing the biology to drive the choice of analysis tools and models, the latter are consistently presented in the context of real biological systems, and analysis and biology are interwoven throughout.
Mathematische Modellierung und Modellanalyse
Author: Andreas Kremling
Das Buch beschreibt die Grundlagen der mathematischen Modellierung zellulärer Systeme. Nach einer Klassifikation von Modellen wird schwerpunktmäßig auf deterministische Modelle eingegangen und für alle relevanten zellulären Prozesse entsprechende Gleichungen angegeben. Anschließend werden eine Reihe von Verfahren zur Modellanalyse vorgestellt. Etwas kürzer werden Verfahren zum Reverse Engineering und zur Analyse von Netzwerkgraphen abgehandelt. Am Ende werden noch Verfahren der Parameteridentifikation besprochen.
Author: Joshua J. Millspaugh,Frank Richard Thompson
Publisher: Academic Press
Intended to provide a recipe for successful development of wildlife habitat models and their implementation in conservation planning, the book could be used in studying wildlife habitat models, conservation planning, and management techniques. Additionally it may be a supplemental text in courses dealing with quantitative assessment of wildlife populations. Additionally, the length of the book would be ideal for graduate student seminar course. Using wildlife habitat models in conservation planning is of considerable interest to wildlife biologists. With ever tightening budgets for wildlife research and planning activities, there is a growing need to use computer methods. Use of simulation models represents the single best alternative. However, it is imperative that these techniques be described in a single source. Moreover, biologists should be made aware of alternative modeling techniques.-
development, interpretation, and application
Author: Tanya M. Shenk,Alan B. Franklin
Publisher: Island Pr
The natural environment is so complex that simplification through abstraction is necessary to communicate concepts and relationships, to comprehend possible reactions, and to decide upon a course of action for management. Today, nearly every decision concerning the management of natural resources is based on a model of one kind or another. Modeling in Natural Resource Managementoffers a much-needed overview of the basic principles for understanding and evaluating models. Focusing on the fundamental components of model creation, interpretation, and application, the book provides a wealth of information on how models are developed and used in natural resource management, as it: defines what models are explores how the different classes of models fit into the scientific process discusses how to determine the appropriateness and usefulness of a particular model provides examples of how models are used (and misused) considers how further progress might be achieved Chapters written by leading experts -- including Mark S. Boyce, William T. Clark, Michael J. Conroy, Donald L. DeAngelis, Douglas H. Johnson, William L. Kendall, Lyman L. McDonald, Marc Mangel, James D. Nichols, Gary C. White, and others -- describe how models should be constructed and interpreted, and highlight how they can be and have been used. Modeling in Natural Resource Managementbrings together in a single volume the best and most current information about natural resource modeling and its on-the-ground application, providing a valuable reference both for scientists involved with issues of natural resource management and for managers who apply the science to real-world problems.
Author: Simon A. Levin
Includes articles on agriculture, ecology, forests, wetlands, and environment, as well as organisms
Category: Environmental sciences
Author: Claus Rautenstrauch,Susanne Patig
Publisher: IGI Global
Environmental Information Systems in Industry and Public Administration provides an overview of worldwide research and development on Environmental Information Systems (ENVIS). This book is the only topical documentation of the highly innovative approach of information systems for environmental protection. Issues are covered from the global and multinational level to industrial solutions for enterprises.
Publisher: Academic Press
Automation Theory and Modeling of Biological Systems
Author: Eric M. White
Category: Forest reserves
Author: Bradley Edwin Thompson
Category: Steelhead (Fish)
Category: Technical education
Author: Stan Gregory
Publisher: Amer Fisheries Society
Category: House & Home
an insight into the encyclopedia of life support systems
Publisher: Bernan Assoc
Category: Business & Economics
This three volume set presents a multidisciplinary examination of the global life support systems on which we depend by providing a selection of articles on sustainable development issues written by international experts. Volume 1 focuses on the earth and atmospheric sciences, mathematical, biological and medical sciences, social sciences and humanities, physical sciences, engineering and technology resources. Volume 2 covers chemical sciences, energy science and water engineering, as well as the main issues related to environmental sciences and ecological resources. Volume 3 offers a comprehensive view of food and agricultural engineering resources, the management of human and natural resources, economic and institutional resources, information technology and systems management, as well as a regional overview of sustainable development issues. Each article includes a bibliography, a glossary and a guide to further information available as part of the on-line Encyclopedia version (http://www.eolss.net).