Focusing on ten factors that often prevent young people from living the lives they dream of, this guide offers practical tips to overcome the obstacles and find the resources to accomplish their dreams while also discovering how those goals fit into God's overall plan for their lives"--Provided by publisher.
La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.
From the physician behind the wildly popular NutritionFacts website, How Not to Die reveals the groundbreaking scientific evidence behind the only diet that can prevent and reverse many of the causes of disease-related death. The vast majority of premature deaths can be prevented through simple changes in diet and lifestyle. In How Not to Die, Dr. Michael Greger, the internationally-renowned nutrition expert, physician, and founder of NutritionFacts.org, examines the fifteen top causes of premature death in America-heart disease, various cancers, diabetes, Parkinson's, high blood pressure, and more-and explains how nutritional and lifestyle interventions can sometimes trump prescription pills and other pharmaceutical and surgical approaches, freeing us to live healthier lives. The simple truth is that most doctors are good at treating acute illnesses but bad at preventing chronic disease. The fifteen leading causes of death claim the lives of 1.6 million Americans annually. This doesn't have to be the case. By following Dr. Greger's advice, all of it backed up by strong scientific evidence, you will learn which foods to eat and which lifestyle changes to make to live longer. History of prostate cancer in your family? Put down that glass of milk and add flaxseed to your diet whenever you can. Have high blood pressure? Hibiscus tea can work better than a leading hypertensive drug-and without the side effects. Fighting off liver disease? Drinking coffee can reduce liver inflammation. Battling breast cancer? Consuming soy is associated with prolonged survival. Worried about heart disease (the number 1 killer in the United States)? Switch to a whole-food, plant-based diet, which has been repeatedly shown not just to prevent the disease but often stop it in its tracks. In addition to showing what to eat to help treat the top fifteen causes of death, How Not to Die includes Dr. Greger's Daily Dozen -a checklist of the twelve foods we should consume every day.Full of practical, actionable advice and surprising, cutting edge nutritional science, these doctor's orders are just what we need to live longer, healthier lives.
Compositional data are quantitative descriptions of the parts of some whole, conveying exclusively relative information. Examples are found in various fields, including geology, medicine, chemistry, agriculture, economics, social science, etc. This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of real examples, code snippets, and colour figures, to illustrate the methods.
Praise for the Second Edition "This book is an excellent introduction to the wide field of boundary value problems."—Journal of Engineering Mathematics "No doubt this textbook will be useful for both students and research workers."—Mathematical Reviews A new edition of the highly-acclaimed guide to boundary value problems, now featuring modern computational methods and approximation theory Green's Functions and Boundary Value Problems, Third Edition continues the tradition of the two prior editions by providing mathematical techniques for the use of differential and integral equations to tackle important problems in applied mathematics, the physical sciences, and engineering. This new edition presents mathematical concepts and quantitative tools that are essential for effective use of modern computational methods that play a key role in the practical solution of boundary value problems. With a careful blend of theory and applications, the authors successfully bridge the gap between real analysis, functional analysis, nonlinear analysis, nonlinear partial differential equations, integral equations, approximation theory, and numerical analysis to provide a comprehensive foundation for understanding and analyzing core mathematical and computational modeling problems. Thoroughly updated and revised to reflect recent developments, the book includes an extensive new chapter on the modern tools of computational mathematics for boundary value problems. The Third Edition features numerous new topics, including: Nonlinear analysis tools for Banach spaces Finite element and related discretizations Best and near-best approximation in Banach spaces Iterative methods for discretized equations Overview of Sobolev and Besov space linear Methods for nonlinear equations Applications to nonlinear elliptic equations In addition, various topics have been substantially expanded, and new material on weak derivatives and Sobolev spaces, the Hahn-Banach theorem, reflexive Banach spaces, the Banach Schauder and Banach-Steinhaus theorems, and the Lax-Milgram theorem has been incorporated into the book. New and revised exercises found throughout allow readers to develop their own problem-solving skills, and the updated bibliographies in each chapter provide an extensive resource for new and emerging research and applications. With its careful balance of mathematics and meaningful applications, Green's Functions and Boundary Value Problems, Third Edition is an excellent book for courses on applied analysis and boundary value problems in partial differential equations at the graduate level. It is also a valuable reference for mathematicians, physicists, engineers, and scientists who use applied mathematics in their everyday work.
Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.
It is often claimed that the case against genetically modified (GM) crops and foods is based on emotion, not science, and that to oppose GM crop and food technology is to be anti-science. It is also claimed that GM crops offer higher yields and better nutrition, that they are safe for health and the environment, that they reduce agrochemical use, and that they are needed to feed the world’s growing population. This book, co-authored by two genetic engineers and a writer/researcher, exposes these claims as false, using scientific and other documented evidence. GMO Myths and Truths summarizes the facts on the safety and efficacy of genetically modified (GM) crops and foods in terms that are accessible to the non-scientist but still relevant to scientists, policymakers and educators. The evidence presented points to many hazards, risks, and limitations of genetic engineering technology. These include harms found in animal feeding and ecological studies, which in turn indicate risks to health and the environment posed by GM crops and foods. The layout of the book enables those readers with limited time to read the chapter summaries, while providing more detail and full references for those who require them. At 164 pages of paperback size, this new condensed version is shorter and more accessible than the authors’ 330-page report by the same name, which has been downloaded over half a million times. The book shows that conventional breeding continues to outstrip GM in developing crops that deliver high yields, better nutrition, and tolerance to extreme weather conditions and poor soils. In agreement with over 400 international experts who co-authored a UN and World Bank-sponsored report on the future of farming, the authors conclude that modern agroecology, rather than GM, is the best path for feeding the world’s current and future populations in a safe and sustainable way.
Explore an insightful and original discussion of the causes of the fall of the Roman Empire In Why Rome Fell: Decline and Fall, or Drift and Change?, celebrated scholar of Roman history Dr. Michael Arnheim delivers a fascinating and robust exploration of the causes of and reasons for Rome’s fall in the West. Steeped in applications of elite theory to the later Roman Empire, the author discusses several interconnected issues that influenced the decline of Rome, including monarchy, power structure, social mobility, religion, and the aristocratic ethos. Incisive comparisons of the situation in Rome to those in the Principate and the Byzantine Empire shed light on the relative lack of “indissoluble union and easy obedience” (in Gibbon’s phrase) in the later Roman Empire. Instead, the book reveals the divided loyalties of a fractured society that characterized Rome in its later years. Why Rome Fell also includes: A thorough introduction to the transition from the ancient to the medieval world, including discussions of monarchy, Diocletian and his relationship to the aristocracy, and Constantine’s reforms Comprehensive explorations of the rise of the Roman Christian empire and Constantine’s role Practical discussions of conflicting theories of what caused the fall of the Roman empire, including the Pirenne thesis, the malaria hypothesis, Gibbon’s ‘decline and fall’ theory, and the role played by religion An indispensable resource for students, scholars and the general reader with an inquiring mind about history, Why Rome Fell deserves a place on the bookshelves of anyone with an interest in a sophisticated and original take on historical continuity and change.
This book discusses the evolution of the mechanisms by which prey avoid attack by their potential predators and questions how such defences are maintained through natural selection. Topics covered include camouflage, warning signals and mimicry.
Focusing on ten factors that often prevent young people from living the lives they dream of, this guide offers practical tips to overcome the obstacles and find the resources to accomplish their dreams while also discovering how those goals fit into God's overall plan for their lives"--Provided by publisher.
La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.
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