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First edition 2000, first printing, numbers line starts with 1. Published by Princeton University Press. Hardcover in full cloth with DJ. Condition new, square, tight and crisp book, corners not bumped, no edgewear, no names, no underlinings, no highlights, no bent page corners, not a reminder. DJ new, no tears, no chips, no edgewear, not clipped. 8vo, XVI + 312 pages.

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available

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Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available

On the subject of science in Nazi Germany, we are apt to hear about the collaboration of some scientists, the forced emigration of talented Jewish scientists, the general science phobia of leaders of the Third Reich--but little detail about what actually transpired. Biologists under Hitler is the first book to examine the impact of Nazism on the lives and research of a generation of German biologists. Drawing on previously unutilized archival material, Ute Deichmann, herself a biologist, explores not only what happened to the biologists forced to emigrate but also the careers, science, and crimes of those who stayed in Germany. Biologists under Hitler combines exhaustive research with capsule biographies of key scientists to overturn certain assumptions about science under the Nazi regime. Biological research, for instance, was neither neglected nor underfunded during World War II; funding by the German Research Association (DFG) in fact increased tenfold between 1933 and 1938, and genetic research in particular flourished. Deichmann shows that the forced emigration of Jews had a less significant impact in biology than in other fields. Furthermore, she reveals that the widely observed decline in German biology after 1945 was not caused primarily by the Third Reich's science policy or by the expulsion of biologists but was due to the international isolation of German scientists as part of the legacy of National Socialism. Her book also provides overwhelming evidence of German scientists' conscious misrepresentation after the war of their wartime activities. In this regard, Deichmann's capsule biography of Konrad Lorenz is particularly telling. Certain to be regarded as the most thorough and comprehensive account of biological science in Nazi Germany, Biologists under Hitler will interest historians of science, historians of the Nazi era, and biologists, as well as those who wish to learn about the relationship between scientific truth and political realities.

In his radical reassessment of Freud and psychoanalysis, Sulloway demonstrates how Freud, strongly influenced by Darwinian biology and the research of Wilhelm Fliess, substituted an evolutionary for a physiological model of the mind

Book is in NEW condition. 1.01

VER GOOD softcover, free tracking number, clean text, solid binding, pages and cover intact and not marred by notes or highlighting, spine undamaged, NO remainders NOT ex-library, smoke free; slight gentle shelfwear / storage-wear; some age tanning WE SHIP FAST. Carefully packed and quickly sent. 201607541as Entropy for Biologists: An Introduction to Thermodynamics provides an introduction to the fundamental concepts of thermodynamics for biologists. It begins with discussions of basic principles such as temperature, energy, kinetic theory, total energy, the second law of thermodynamics, and entropy. It then reviews conceptual tools from probability theory, combinatorial analysis, and information theory, which are essential to understanding elementary statistical mechanics. The remaining chapters present formulations for the relation between statistical mechanics and thermodynamics; the relationship between entropy and information; free-energy functions; and thermal energy. Measurements of temperature, energy, and thermochemical quantities are covered. The final chapter discusses the biological implications of the relation between entropy and information. This book is intended for graduate and advanced undergraduate students of biology and biochemistry who wish to develop a sense of confidence about their understanding of the thermal physics which will be useful in pursuing their work. It may also Harold Joseph Morowitz (December 4, 1927 - March 22, 2016) was an American biophysicist who studied the application of thermodynamics to living systems. Author of numerous books and articles, his work includes technical monographs as well as essays. The origin of life has been his primary research interest for more than fifty years. He was the Robinson Professor of Biology and Natural Philosophy at George Mason University after a long career at Yale. Please choose Priority / Expedited shipping for faster delivery. (No shipping to Mexico, Brazil or Italy.)

The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

Book by Levins, Richard, Lewontin, Richard C.

Book by Levins, Richard, Lewontin, Richard C.

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The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers.

Book is in NEW condition. 1.39

This book provides an overview of the fundamental principles of electronics that are of particular relevance to biologists. This primer is aimed at non-engineers looking for background in the electric circuit concepts needed for studying ion channels, electrophysiology and MRI imaging, the basics of the proper use of amplifiers and filters, and the use of computers to acquire data and control experiments.

Scientists act within a social context and from a philosophical perspective that is inherently political. Whether they realize it or not, scientists always choose sides. "The Dialectical Biologist" explores this political nature of scientific inquiry, advancing its argument within the framework of Marxist dialectic. These essays stress the concepts of continual change and co-determination between organism and environment, part and whole, structure and process, science and politics. Throughout, this book questions our accepted definitions and biases, showing the self-reflective nature of scientific activity within society.

“We share a common bond with even the most bizarre beetle of the Peruvian rain forest,” asserts John Janovy Jr. “A belief in that common bond might, in fact, be the most fundamental characteristic of a biologist.” And biologists see the worth of a plant or an animal not in monetary terms but in its contribution to our understanding of life. The famous naturalist brings a humanist’s vision to this superbly written book. On Becoming a Biologist is grounded in reality, cognizant of practical matters (education and jobs) as well as the ideals that inform the profession—a reverence for life and a responsibility to humankind and its future. Janovy draws on his experiences as a graduate and postdoctoral student, on his rewarding relationships with teachers, and on his fieldwork as a naturalist. This edition includes new information throughout the book regarding pertinent events, issues, and changes in technology.

Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by numerous programming exercises, available at www.cs.hmc.edu/CFB.

Are you interested in ocean plants and animals? Have you ever wondered how pollution affects the underwater world? Do you enjoy being in the water? Do you like hands-on research and technology? Then you might have a future as a marine biologist! Swim along with real-life marine biologists and learn what its like to study life in the sea.

Scientists act within a social context and from a philosophical perspective that is inherently political. Whether they realize it or not, scientists always choose sides. "The Dialectical Biologist" explores this political nature of scientific inquiry, advancing its argument within the framework of Marxist dialectic. These essays stress the concepts of continual change and co-determination between organism and environment, part and whole, structure and process, science and politics. Throughout, this book questions our accepted definitions and biases, showing the self-reflective nature of scientific activity within society.