This book is about modeling as a prinicipal component of scientific investigations. In general terms, modeling is the funamental process of combining intellectual creativity with physical knowledge and mathematical techniques in order to learn the properties of the mechanisms underlying a physical phenomenon and make predictions. The book focuses on a specific class of models, namely, random field models and certain of their physical applications in the context of a stochastic data analysis and processing research program. The term application is considered here in the sense wherein the mathematical random field model is shaping, but is also being shaped by, its objects.This book explores the application of random field models and stochastic data processing to problems in hydrogeology, geostatistics, climate modeling, and oil reservoir engineering, among others Researchers in the geosciences who work with models of natural processes will find discussion of; - Spatiotemporal random fields - Space transformation - Multidimensional estimation - Simulation - Sampling design - Stochastic partial differential equations
Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications). - Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines - Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena - Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics - Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented
Presents a unique study of Integrative Problem-Solving (IPS). The consideration of 'Decadence' is essential in the scientific study of environmental and other problems and their rigorous solution, because the broad context within which the problems emerge can affect their solution. Stochastic reasoning underlines the conceptual and methodological framework of IPS, and its formulation has a mathematical life of its own that accounts for the multidisciplinarity of real world problems, the multisourced uncertainties characterizing their solution, and the different thinking modes of the people involved. Only by interpolating between the full range of disciplines (including stochastic mathematics, physical science, neuropsychology, philosophy, and sociology) and the associated thinking modes can scientists arrive at a satisfactory account of problem-solving, and be able to distinguish between a technically complete problem-solution, and a solution that has social impact.
This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis. The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific mapping. Starting with a overview of the uses of spatiotemporal mapping in the natural sciences, the text explores spatiotemporal geometry, the epistemic paradigm, the mathematical formulation of the Bayesian maximum entropy method, and analytical expressions of the posterior operator. Additional topics include uncertainty assessment, single- and multi-point analytical formulations, and popular methods. An innovative contribution to the field of space and time analysis, this volume offers many potential applications in epidemiology, geography, biology, and other fields.
The law touches almost every aspect of the relationship between employers and their employees. Hundreds of articles are written every year about legal developments that impact this relationship. This book is a compilation of the best of these articles that were written between March 1, 2013, and February 28, 2014. This time frame was selected because it includes end-of-year articles that review key changes in the law during 2013 and beginning-of-year articles that cover trends and action items for 2014. The articles in this collection were written by leading US employment law experts. In selecting these articles, the goal was to include articles that are concise, clearly-written, practical, and relevant to the responsibilities of business owners, managers, and human resource professionals—and to their legal advisors. The result is a mixture of two types of articles. Some articles focus on fundamental, recurring legal concerns. These include, for example, articles on employer responsibilities relating to holiday activities, off-duty conduct, record keeping, reductions in force, retaliation, seasonal workers, severance agreements, trade secrets, and workplace violence. Other articles address issues that have recently received national attention as a result of changes in the business and legal environment. These include articles on employer responsibilities relating to criminal background checks, Bring Your Own Device policies, workplace bullying, electronic communications, “leaning in,” obesity, social media, telecommuting, and workplace wellness programs. The articles are organized into four groupings. The first group (“Opening Test”) will test whether you have a sound understanding of employers’ legal responsibilities. The second group (“Broad Coverage”) includes review articles that summarize legal developments in 2013 and agendas for 2014. Articles in the third group (“Global Concerns”) address US employers’ increasing concerns with the legal environment outside the United States. The fourth group of articles (“Specific Topics”) comprises most of the book and covers specific topics relating to ongoing and emerging legal responsibilities of employers. We hope that the resources in this book will help you achieve business success in a responsible manner.
Ions, their transport across membranes, and their flow through specialized ion channels are central to the understanding of brain function, normal and pathological. The first part of this book deals with the regulation of ions in brain extra- and intracellular fluids. Regulation is effected by the blood-brain barrier, and by membrane ion pumps and other transport mechanisms of neurons and glial cells. Normally adjusted for optimal neural function, ion levels can change and alter the excitability of neurons and influence synaptic transmission in healthy and diseased brains. After an introduction to the electrophysiology of epilepsy, and a description of experimental seizure "models," the second part discusses the roles of the faulty regulation of ions and of the diseases of ion channels in generating epileptic seizures. The mechanisms of action of various anticonvulsant drugs are also considered. The third part is devoted to the phenomenon of spreading depression and its likely role in human diseases. The final chapters of the book deal with the role of ions in the devastation caused by lack of oxygen and by insufficient blood flow to brain tissue, and the reasons for the exceptional vulnerability of certain classes of central neurons in hypoxia and stroke. The book will be of interest to neuroscientists, neurobiologists, neurophysiologists, neurologists, neurosurgeons, and to their students and trainees.
George Rosen's wide-ranging account of public health's long and fascinating history is an indispensable classic. Since publication in 1958, George Rosen's classic book has been regarded as the essential international history of public health. Describing the development of public health in classical Greece, imperial Rome, England, Europe, the United States, and elsewhere, Rosen illuminates the lives and contributions of the field's great figures. He considers such community health problems as infectious disease, water supply and sewage disposal, maternal and child health, nutrition, and occupational disease and injury. And he assesses the public health landscape of health education, public health administration, epidemiological theory, communicable disease control, medical care, statistics, public policy, and medical geography. Rosen, writing in the 1950s, may have had good reason to believe that infectious diseases would soon be conquered. But as Dr. Pascal James Imperato writes in the new foreword to this edition, infectious disease remains a grave threat. Globalization, antibiotic resistance, and the emergence of new pathogens and the reemergence of old ones, have returned public health efforts to the basics: preventing and controlling chronic and communicable diseases and shoring up public health infrastructures that provide potable water, sewage disposal, sanitary environments, and safe food and drug supplies to populations around the globe. A revised introduction by Elizabeth Fee frames the book within the context of the historiography of public health past, present, and future, and an updated bibliography by Edward T. Morman includes significant books on public health history published between 1958 and 2014. For seasoned professionals as well as students, A History of Public Health is visionary and essential reading.
Gangs have long been a social and criminal threat to society. Introduction to Gangs in America explains how gangs are addressed as a criminal justice and public policy problem, providing a student-friendly, easily accessible, concise overview of the role, place, structure, and activities of gangs in American society. The book describes what gangs a
This single-source reference draws together the current knowledge of the vitamins’ biological properties in the context of human nutrition. Vitamins are co-enzymes, antioxidants or precursors of hormones and are therefore involved in a great many biochemical and physiological processes. They play a vital role in the maintenance of health, and there is evidence that dietary sources of vitamins have beneficial effects in the prevention of heart-related diseases, bone diseases and possibly cancer. Following introductory chapters on historical and nutritional aspects of vitamins, the next four chapters cover relevant and detailed aspects of physiology and functional anatomy, biochemistry, immunology and the regulation of protein synthesis by nuclear hormone receptors. These background chapters, supported by a glossary of terms, provide the scientific principles upon which vitamin functions are based. The following thirteen chapters deal with each vitamin in turn. Subject areas include chemical structure, intestinal absorption, transport, metabolism, biochemical and physiological actions, immunoregulatory properties, deficiency-related diseases and potential toxicity. An extensive bibliography refers the reader to the original research literature. Vitamins is aimed at nutritionists, biochemists, physiologists and physicians whether they be researchers, teachers or students. Food scientists, food technologists and many others working in the health professions will also find much of use and interest in the book. The inclusion of the theoretical principles in the background chapters makes the book an ideal starting point for those working outside the area who need a solid overview of the subject.
Spatiotemporal Random Fields: Theory and Applications, Second Edition, provides readers with a new and updated edition of the text that explores the application of spatiotemporal random field models to problems in ocean, earth, and atmospheric sciences, spatiotemporal statistics, and geostatistics, among others. The new edition features considerable detail of spatiotemporal random field theory, including ordinary and generalized models, as well as space-time homostationary, isostationary and hetrogeneous approaches. Presenting new theoretical and applied results, with particular emphasis on space-time determination and interpretation, spatiotemporal analysis and modeling, random field geometry, random functionals, probability law, and covariance construction techniques, this book highlights the key role of space-time metrics, the physical interpretation of stochastic differential equations, higher-order space-time variability functions, the validity of major theoretical assumptions in real-world practice (covariance positive-definiteness, metric-adequacy etc.), and the emergence of interdisciplinary phenomena in conditions of multi-sourced real-world uncertainty. - Contains applications in the form of examples and case studies, providing readers with first-hand experiences - Presents an easy to follow narrative which progresses from simple concepts to more challenging ideas - Includes significant updates from the previous edition, including a focus on new theoretical and applied results
Molecular and Cellular Biology of the Vitamins is a key resource describing how vitamins function as physiologically active molecules at the cellular level. The contents of the book are divided into four sections including a thorough introduction; biological perspectives; fat-soluble vitamins; and water-soluble vitamins. Vitamin chapters cover information on chemical structures; intestinal absorption; plasma transport and metabolism; biochemical and physiological actions; regulations of gene expression; immunological properties; deficiency-related diseases. The 'perspectives' chapters facilitate the understanding of vitamin biology; including the theory of biochemistry, physiology, endocrinology, molecular genetics, and immunology. Features · Facilitates learning and understanding through a logical flow of information. · Discusses vitamin 'behavior' across a wide range of biological disciplines. · Discusses immunological and deficiency-related diseases including coronary artery disease, diabetes and cancer; and potential toxicity. Molecular and Cellular Biology of the Vitamins appeals to those involved in vitamin research or teaching, postgraduate students studying nutrition or health-related topics, health practitioners, and scientists.
This long-awaited update of the classic, The Human Nervous System, stands as an impressive survey of our knowledge of the brain, spinal cord, and peripheral nervous system. The book has been completely redone and brought up-to-date. An impressive and respected cast of international authors have contributed 37 chapters on topics ranging from Brain Evolution, all phases of Brain Development, to all areas of the adult brain and peripheral pathways, along with careful descriptions of the spinal cord and peripheral nervous system, brainstem and cerebellum. The Human Nervous System, Second Edition will again serve as the gold standard, providing a one-stop source of up-to-date information about our knowledge of the human nervous system.This second edition of the standard reference on the human nervous system is extensively and completely revised and updated from the 1990 first edition. Written by the leading researchers, many chapters have been completely rewritten, new chapters have been added. A new section on Evolution and Development provides a broader perspective, and all chapters include references and perspectives to neurological disease.
This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis. The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific mapping. Starting with a overview of the uses of spatiotemporal mapping in the natural sciences, the text explores spatiotemporal geometry, the epistemic paradigm, the mathematical formulation of the Bayesian maximum entropy method, and analytical expressions of the posterior operator. Additional topics include uncertainty assessment, single- and multi-point analytical formulations, and popular methods. An innovative contribution to the field of space and time analysis, this volume offers many potential applications in epidemiology, geography, biology, and other fields.
This book is about modeling as a prinicipal component of scientific investigations. In general terms, modeling is the funamental process of combining intellectual creativity with physical knowledge and mathematical techniques in order to learn the properties of the mechanisms underlying a physical phenomenon and make predictions. The book focuses on a specific class of models, namely, random field models and certain of their physical applications in the context of a stochastic data analysis and processing research program. The term application is considered here in the sense wherein the mathematical random field model is shaping, but is also being shaped by, its objects.This book explores the application of random field models and stochastic data processing to problems in hydrogeology, geostatistics, climate modeling, and oil reservoir engineering, among others Researchers in the geosciences who work with models of natural processes will find discussion of; - Spatiotemporal random fields - Space transformation - Multidimensional estimation - Simulation - Sampling design - Stochastic partial differential equations
This multidisciplinary reference takes the reader through all four major phases of interdisciplinary inquiry: adequate conceptualization, rigorous formulation, substantive interpretation, and innovative implementation. The text introduces a novel synthetic paradigm of public health reasoning and epidemic modelling, and implements it with a study of the infamous 14th century AD Black Death disaster that killed at least one-fourth of the European population.
The validity of certain critical reasoning steps carried out during or on the sidelines of the environmental science, public health survey, medical experiment, population risk assessment, or disease space-time mapping under conditions of in situ uncertainty and space-time heterogeneity, is often not given sufficient attention and may even be out of the investigator's line of thought. For example, the technical complexity of an environmental exposure experiment may overshadow the logical assumptions made when moving from one phase of the experiment to the next, or the study of population risk assessment may focus on analytical and computational matters, whereas methodological and cultural factors are neglected.This book helps health investigators structure their thinking so that they avoid logical mistakes and argument pitfalls, and also gain new insights about reality, improve their awareness of the environment and context within which one's thinking takes place.
Presents a unique study of Integrative Problem-Solving (IPS). The consideration of 'Decadence' is essential in the scientific study of environmental and other problems and their rigorous solution, because the broad context within which the problems emerge can affect their solution. Stochastic reasoning underlines the conceptual and methodological framework of IPS, and its formulation has a mathematical life of its own that accounts for the multidisciplinarity of real world problems, the multisourced uncertainties characterizing their solution, and the different thinking modes of the people involved. Only by interpolating between the full range of disciplines (including stochastic mathematics, physical science, neuropsychology, philosophy, and sociology) and the associated thinking modes can scientists arrive at a satisfactory account of problem-solving, and be able to distinguish between a technically complete problem-solution, and a solution that has social impact.
Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus provides a holistic, conceptual and quantitative framework for Environmental Health Modelling in space-time. The holistic framework integrates two aspects of Environmental Health Science that have been previously treated separately: the environmental aspect, which involves the natural processes that bring about human exposure to harmful substances; and the health aspect, which focuses on the interactions of these substances with the human body. Some of the fundamental issues addressed in this work include variability, scale, uncertainty, and space-time connectivity. These topics are important in the characterization of natural systems and health processes. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus explains why modern stochastics is the appropriate mechanical vehicle for addressing such issues in a rigorous way. In particular, modern stochastics incorporates concepts and methods from probability, classical statistics, geostatistics, statistical mechanics and field theory. The authors present a synthetic view of environmental health that embraces all of the various components and focuses on their mutual interactions. Spatiotemporal Environmental Health Modeling: A Tractatus Stochasticus includes new material on Bayesian maximum entropy estimation techniques and space-time random field estimation methods. The authors show why these methods have clear advantages over the classical geostatistical estimation procedures and how they can be used to provide accurate space-time maps of environmental health processes. Also included are expositions of diagrammatic perturbation and renormalization group analysis, which have not been previously discussed within the context of Environmental Health. Finally, the authors present stochastic indicators that can be used for large-scale characterization of contamination and investigations of health effects at the microscopic level. This book will be a useful reference to both researchers and practitioners of Environmental Health Sciences. It will appeal specifically to environmental engineers, geographers, geostatisticians, earth scientists, toxicologists, epidemiologists, pharmacologists, applied mathematicians, physicists and biologists.
Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications). - Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines - Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena - Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics - Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented
The book focuses on the development of advanced functions for field-based temporal geographical information systems (TGIS). These fields describe natural, epidemiological, economical, and social phenomena distributed across space and time. The book is organized around four main themes: "Concepts, mathematical tools, computer programs, and applications". Chapters I and II review the conceptual framework of the modern TGIS and introduce the fundamental ideas of spatiotemporal modelling. Chapter III discusses issues of knowledge synthesis and integration. Chapter IV presents state-of-the-art mathematical tools of spatiotemporal mapping. Links between existing TGIS techniques and the modern Bayesian maximum entropy (BME) method offer significant improvements in the advanced TGIS functions. Comparisons are made between the proposed functions and various other techniques (e.g., Kriging, and Kalman-Bucy filters). Chapter V analyzes the interpretive features of the advanced TGIS functions, establishing correspondence between the natural system and the formal mathematics which describe it. In Chapters IV and V one can also find interesting extensions of TGIS functions (e.g., non-Bayesian connectives and Fisher information measures). Chapters VI and VII familiarize the reader with the TGIS toolbox and the associated library of comprehensive computer programs. Chapter VIII discusses important applications of TGIS in the context of scientific hypothesis testing, explanation, and decision making.
Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus provides a holistic, conceptual and quantitative framework for Environmental Health Modelling in space-time. The holistic framework integrates two aspects of Environmental Health Science that have been previously treated separately: the environmental aspect, which involves the natural processes that bring about human exposure to harmful substances; and the health aspect, which focuses on the interactions of these substances with the human body. Some of the fundamental issues addressed in this work include variability, scale, uncertainty, and space-time connectivity. These topics are important in the characterization of natural systems and health processes. Spatiotemporal Environmental Health Modelling: A Tractatus Stochasticus explains why modern stochastics is the appropriate mechanical vehicle for addressing such issues in a rigorous way. In particular, modern stochastics incorporates concepts and methods from probability, classical statistics, geostatistics, statistical mechanics and field theory. The authors present a synthetic view of environmental health that embraces all of the various components and focuses on their mutual interactions. Spatiotemporal Environmental Health Modeling: A Tractatus Stochasticus includes new material on Bayesian maximum entropy estimation techniques and space-time random field estimation methods. The authors show why these methods have clear advantages over the classical geostatistical estimation procedures and how they can be used to provide accurate space-time maps of environmental health processes. Also included are expositions of diagrammatic perturbation and renormalization group analysis, which have not been previously discussed within the context of Environmental Health. Finally, the authors present stochastic indicators that can be used for large-scale characterization of contamination and investigations of health effects at the microscopic level. This book will be a useful reference to both researchers and practitioners of Environmental Health Sciences. It will appeal specifically to environmental engineers, geographers, geostatisticians, earth scientists, toxicologists, epidemiologists, pharmacologists, applied mathematicians, physicists and biologists.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.