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Foundation Mathematics for Biosciences

Foundation Mathematics for Biosciences Author Jackie Willis
ISBN-10 9780273774624
Release 2017-01-02
Pages 384
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Foundation Mathematics for Biosciences provides an accessible and clear introduction to mathematical skills for students of the biosciences. The book chapters cover key topic areas and their associated techniques, thereby presenting the maths in context. A student focused pedagogical approach will help students build their confidence, develop their understanding and learn how to apply mathematical techniques within their studies. Students will be able to use the book as a resource to complement their theory-based textbooks and to prepare themselves for practical classes, tutorials and research projects. Key features The book progresses in a logical manner, opening with fundamental problems and then building to more complex calculations aligned to different disciplines in the biosciences. • Worked examples with detailed solutions provide step-by-step guidance through each calculation to help students build their practical skills. • Important rules and key points are highlighted in text boxes to help students consolidate their understanding of techniques and theory. • Illustrations provide insight into what students are likely to encounter in the laboratory. • Self-assessment questions are provided throughout to enable students to manage their learning and track their progress. • Learning objectives and key terms also help students to monitor their study. Suitable for students on courses from the pure end of the spectrum to more applied courses such as biomedical sciences, microbiology, molecular biology, physiology, and forensics. Dr Ela Bryson is Senior Lecturer in Molecular Biology at the School of Life and Medical Sciences at the University of Hertfordshire Dr Jackie Willis is Associate Dean of the School of Life and Medical Sciences at the University if Hertfordshire This book can be supported by MyMathLabGlobal, an online teaching and learning platform designed to build and test your understanding. The book and the MyMathLabGlobal system provide a range of benefits including: • A tool for the diagnosis of existing strengths and weaknesses in maths • A comprehensive set of algorithmically generated questions that can be used by students to practise and develop their skills in an independent and flexible manner and by the tutor to evaluate progress Need extra support? Were you looking for the book with access to MyXLab? This product is the book alone, and does NOT come with access to MyMathLabGlobal. Buy Title with MyMathLabGlobal access card (9780273774655) if you need access to MyMathLabGlobal as well, and save money on this resource. Ask your instructor about using MyLab.



Foundation Maths for Biosciences

Foundation Maths for Biosciences Author Jackie Willis
ISBN-10 0273774654
Release 2016-07-10
Pages 368
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This package contains Foundation Mathematics for Biosciences, Book agnostic lab 1e and access to MyMathLab. Important information for students: You need both an access code and a course ID to access MyMathLab. Ask your lecturer before purchasing a MyLab product as you will need a course ID from them before you can gain access to the system. This integrated learning solution, comprising a book and online assessment support (MyMathLabGlobal), provides tools to develop foundation numeracy and maths skills for students of the biosciences. It can be used with courses at the pure end of the spectrum to courses of a highly applied nature, such as biomedical sciences, molecular biology, microbiology, physiology and forensics. The subject coverage has been designed to support the practical as well as theoretical aspects of these courses, and is in large part set in a biological context so that students can directly see the relevance of maths skills to their main subject. This package includes MyMathLab, an online homework, tutorial, and assessment system designed with a single purpose in mind; to improve the results of all higher education students, one student at a time. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Find out more at www.MyMathLab.com.



Essential Mathematical Biology

Essential Mathematical Biology Author Nicholas F. Britton
ISBN-10 9781447100492
Release 2012-12-06
Pages 335
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This self-contained introduction to the fast-growing field of Mathematical Biology is written for students with a mathematical background. It sets the subject in a historical context and guides the reader towards questions of current research interest. A broad range of topics is covered including: Population dynamics, Infectious diseases, Population genetics and evolution, Dispersal, Molecular and cellular biology, Pattern formation, and Cancer modelling. Particular attention is paid to situations where the simple assumptions of homogenity made in early models break down and the process of mathematical modelling is seen in action.



Chemistry for the Biosciences

Chemistry for the Biosciences Author Jonathan Crowe
ISBN-10 9780199662883
Release 2014-01
Pages 704
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Chemistry pervades our life. It moulds our climate, fuels our transport, gives food its taste and smell. Most of all, chemistry powers life itself. Chemistry for the Biosciences leads students through the essential concepts of chemistry that are central to understanding biological systems, using everyday examples and analogies to help them get to grips with the subject. With an emphasis on clear, straightforward explanations, it features biological examples throughout to illustrate just how integral chemistry is to the biosciences. With topics drawn from organic, physical and inorganic chemistry, students will encounter a broad range of essential concepts to master. Chemistry for the Biosciences includes many learning features - both in print and online - to help students grasp these concepts as quickly and thoroughly as possible. From the self-check questions throughout each chapter to help consolidate learning, to the Chemical Toolkits and Maths Tools that help students explore terminology, methods, and numerical skills that may be unfamiliar, the book is written to be a true course companion for students on biological and biomedical science degrees - one that will help them not only remember the essentials, but really understand them, setting students up for success in their later studies.



Geriatric Bioscience

Geriatric Bioscience Author David Hamerman
ISBN-10 0801886929
Release 2007-10-31
Pages 287
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It is increasingly important for physicians who treat older persons, and for researchers on aging, to understand how molecular biology informs clinical expressions of aging and age-related conditions such as osteoporosis, diabetes, osteoarthritis, frailty, cancer, and dementia. Dr. David Hamerman translates basic scientific concepts into precepts of clinical practice and sheds light on the links among biology, natural aging, longevity, and disease. Examining the science of geriatrics and converting its concepts into clinical applications, this work provides clinicians and researchers with a solid foundation for a greater understanding of the diagnosis, treatment, and prevention of age-related diseases as well as recommendations for promoting healthy aging.



Handbook of Computational Molecular Biology

Handbook of Computational Molecular Biology Author Srinivas Aluru
ISBN-10 1420036270
Release 2005-12-21
Pages 1104
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The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.



Introduction to Mathematical Oncology

Introduction to Mathematical Oncology Author Yang Kuang
ISBN-10 9781584889915
Release 2016-04-05
Pages 470
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Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.



Foundations of Modern Analysis

Foundations of Modern Analysis Author Avner Friedman
ISBN-10 0486640620
Release 1970
Pages 250
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Measure and integration, metric spaces, the elements of functional analysis in Banach spaces, and spectral theory in Hilbert spaces — all in a single study. Only book of its kind. Unusual topics, detailed analyses. Problems. Excellent for first-year graduate students, almost any course on modern analysis. Preface. Bibliography. Index.



Invasion Dynamics

Invasion Dynamics Author Cang Hui
ISBN-10 9780191062520
Release 2017-02-15
Pages 384
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Humans have moved organisms around the world for centuries but it is only relatively recently that invasion ecology has grown into a mainstream research field. This book examines both the spread and impact dynamics of invasive species, placing the science of invasion biology on a new, more rigorous, theoretical footing, and proposing a concept of adaptive networks as the foundation for future research. Biological invasions are considered not as simple actions of invaders and reactions of invaded ecosystems, but as co-evolving complex adaptive systems with emergent features of network complexity and invasibility. Invasion Dynamics focuses on the ecology of invasive species and their impacts in recipient social-ecological systems. It discusses not only key advances and challenges within the traditional domain of invasion ecology, but introduces approaches, concepts, and insights from many other disciplines such as complexity science, systems science, and ecology more broadly. It will be of great value to invasion biologists analyzing spread and/or impact dynamics as well as other ecologists interested in spread processes or habitat management.



Genes Cells and Brains

Genes  Cells and Brains Author Hilary Rose
ISBN-10 9781844679171
Release 2013-01-16
Pages 336
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Our fates lie in our genes and not in the stars, said James Watson, co-discoverer of the structure of DNA. But Watson could not have predicted the scale of the industry now dedicated to this new frontier. Since the launch of the multibillion-dollar Human Genome Project, the biosciences have promised miracle cures and radical new ways of understanding who we are. But where is the new world we were promised? In Genes, Cells, and Brains, feminist sociologist Hilary Rose and neuroscientist Steven Rose take on the bioscience industry and its claims. Examining the rivalries between public and private sequencers,the establishment of biobanks, and the rise of stem cell research, they ask why the promised cornucopia of health benefits has failed to emerge. Has bioethics simply become an enterprise? As bodies become increasingly commodified, perhaps the failure to deliver on these promises lies in genomics itself.



Algebraic and Discrete Mathematical Methods for Modern Biology

Algebraic and Discrete Mathematical Methods for Modern Biology Author Raina Robeva
ISBN-10 9780128012710
Release 2015-05-09
Pages 382
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Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources



Mathematical Foundations of Neuroscience

Mathematical Foundations of Neuroscience Author G. Bard Ermentrout
ISBN-10 9780387877082
Release 2010-07-01
Pages 422
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This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.



Self Organization in Complex Ecosystems MPB 42

Self Organization in Complex Ecosystems   MPB 42 Author Ricard V. Solé
ISBN-10 9781400842933
Release 2012-01-06
Pages 384
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Can physics be an appropriate framework for the understanding of ecological science? Most ecologists would probably agree that there is little relation between the complexity of natural ecosystems and the simplicity of any example derived from Newtonian physics. Though ecologists have long been interested in concepts originally developed by statistical physicists and later applied to explain everything from why stock markets crash to why rivers develop particular branching patterns, applying such concepts to ecosystems has remained a challenge. Self-Organization in Complex Ecosystems is the first book to clearly synthesize what we have learned about the usefulness of tools from statistical physics in ecology. Ricard Solé and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the structure of ecosystems, at least at some scales? They offer the most compelling array of theoretical evidence to date of the potential of nonlinear ecological interactions to generate nonrandom, self-organized patterns at all levels. Tackling classic ecological questions--from population dynamics to biodiversity to macroevolution--the book's novel presentation of theories and data shows the power of statistical physics and complexity in ecology. Self-Organization in Complex Ecosystems will be a staple resource for years to come for ecologists interested in complex systems theory as well as mathematicians and physicists interested in ecology.



Biochemical Systems Analysis

Biochemical Systems Analysis Author Michael A. Savageau
ISBN-10 1449590764
Release 2010-02-01
Pages 400
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The reductionist approach of molecular biology has given us detailed descriptions for many biochemical constituents of complex biological systems. For some of the simpler systems nearly the entire "parts catalog" has been assembled. These developments have set the stage for a new generation of questions -- questions of integration that deal with the relation between behavior of intact systems and their underlying molecular determinants, questions of unifying design principles that will give meaning to the bewildering diversity of alternative molecular designs, questions of higher-level theory and quantitative prediction, which currently are not available in most of biology. The motivation to develop this new perspective comes from the study of complex biochemical pathways, intricate circuits of gene regulation, network interactions within the immune system, plasticity of neural networks, and pattern formation by cellular networks. All these networks consist of more elemental constituents that find their meaning within the context of the intact system. The integrative perspective requires a new language and methodology. The objective of this text is to systematically develop these and to apply them to specific classes of metabolic networks and gene circuitry. The applications demonstrate the power of this approach to formulate and answer fundamental questions concerning network function, design and evolution that currently cannot be addressed by other methods. The text was first published in 1976 and is being reissued to commemorate the 40th anniversary of the author's first paper published on Biochemical Systems Analysis.



Foundation Mathematics for the Physical Sciences

Foundation Mathematics for the Physical Sciences Author K. F. Riley
ISBN-10 9781139492195
Release 2011-03-31
Pages
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This tutorial-style textbook develops the basic mathematical tools needed by first and second year undergraduates to solve problems in the physical sciences. Students gain hands-on experience through hundreds of worked examples, self-test questions and homework problems. Each chapter includes a summary of the main results, definitions and formulae. Over 270 worked examples show how to put the tools into practice. Around 170 self-test questions in the footnotes and 300 end-of-section exercises give students an instant check of their understanding. More than 450 end-of-chapter problems allow students to put what they have just learned into practice. Hints and outline answers to the odd-numbered problems are given at the end of each chapter. Complete solutions to these problems can be found in the accompanying Student Solutions Manual. Fully-worked solutions to all problems, password-protected for instructors, are available at www.cambridge.org/foundation.



Animal Communication Networks

Animal Communication Networks Author P. K. McGregor
ISBN-10 1139443674
Release 2005-03-31
Pages
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Most animal communication has evolved and now takes place in the context of a communication network, i.e. several signallers and receivers within communication range of each other. This idea follows naturally from the observation that many signals travel further than the average spacing between animals. This is self evidently true for long-range signals, but at a high density the same is true for short-range signals (e.g. begging calls of nestling birds). This book provides a current summary of research on communication networks and appraises future prospects. It combines information from studies of several taxonomic groups (insects to people via fiddler crabs, fish, frogs, birds and mammals) and several signalling modalities (visual, acoustic and chemical signals). It also specifically addresses the many areas of interface between communication networks and other disciplines (from the evolution of human charitable behaviour to the psychophysics of signal perception, via social behaviour, physiology and mathematical models).



Longevity

Longevity Author James R. Carey
ISBN-10 0691088497
Release 2003
Pages 278
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Despite our deep interest in mortality, little is known about why some individuals live to middle age and others to extreme old age. Life span, mortality, and aging present some of the most profound mysteries in biology. In Longevity, James Carey draws on unprecedented data to develop a biological and demographic framework for identifying the key factors that govern aging, life span, and mortality in humans and other animals. Carey presents the results of a monumental, twelve-year, National Institute on Aging-funded research project on the determinants of longevity using data from the life tables of five million Mediterranean fruit flies, the most comprehensive set of life table studies ever on the mortality dynamics of a single species. He interprets the fruit fly data within the context of human aging and the aging process in general to identify the determinants of mortality. Three key themes emerge: the absence of species-specific life span limits, the context-specific nature of the mortality rate, and biodemographic linkages between longevity and reproduction. A powerful foundation for the emerging field of biodemography and a rich framework for considering the future of human life span, Longevity will be an indispensable resource for readers from a range of fields including population biology, demography, gerontology, ecology, evolutionary biology, and medical research.