In Longevity Now, Wolfe exposes the number-one cause of all degenerative illness and aging: calcification. Caused by an excess of calcium and the presence of nanobacteria, calcification can be found in some degree in virtually every adult and even some children. It leads to a plethora of illnesses and manifests as achy joints, hardened arteries, cellulite, cysts, kidney stones, gallstones, dental plaque, cataracts, and bone spurs, among many other health problems. By breaking down calcification and removing parasites, heavy metals, and other "unwanted guests" from your system, you can reverse the aging process and eliminate the prospect of degenerative disease from your future.Part 1 of the Longevity Now Program focuses on supplements to dissolve the buildup of calcium in your system, leading to freer movement, a clearer head, and a lighter step. Part 2 focuses on boosting your immunity, using a variety of supplements to make your body as resilient as possible. Part 3 focuses on rejuvenating each and every cell of your body with nutrient-packed supplements and superfoods. Part 4 focuses on using special electromagnetic grounding technologies to eliminate parasites and reconnect you with the rhythmic cycles of Earth's energy field. Part 5 focuses on deep-tissue bodywork and yoga, so that you can move blocked energy around and break up stagnation in typically unaccessed parts of the body.In addition to all this, Wolfe offers abundant additional information to help you more fully live the Longevity Now lifestyle, such as foods to avoid, healthful alternative sweeteners, delicious recipes, and more tips and tricks to keep you on the path of rejuvenation, radiant health, and full-throttle vitality.From the Hardcover edition.

    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

    In 'Bad Science', Ben Goldacre hilariously exposed the tricks that quacks and journalists use to distort science. In 'Bad Pharma', he put the $600 billion global pharmaceutical industry under the microscope. Now the pick of the journalism by one of our wittiest, most indignant and most fearless commentators on the worlds of medicine and science is collected in one volume.

    In this book you will see how commonly performed operations can be found to be useless or even harmful when properly evaluated. That these claims come from an experienced, practicing orthopedic surgeon who performs many of these operations himself, makes the unsettling argument particularly compelling. Of course no surgeon is recommending invasive surgery in bad faith, but Ian Harris argues that the evidence for the success for many common operations, including knee arthroscopies, back fusion or cardiac stenting, become current accepted practice without full examination of the evidence.

    But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.Joel Best bases his discussion on a wide assortment of intriguing contemporary issues that have garnered much recent media attention, including abortion, cyberporn, homelessness, the Million Man March, teen suicide, the U.S. census, and much more. Using examples from the New York Times, the Washington Post, and other major newspapers and television programs, he unravels many fascinating examples of the use, misuse, and abuse of statistical information.In this book Best shows us exactly how and why bad statistics emerge, spread, and come to shape policy debates. He recommends specific ways to detect bad statistics, and shows how to think more critically about "stat wars," or disputes over social statistics among various experts. Understanding this book does not require sophisticated mathematical knowledge; Best discusses the most basic and most easily understood forms of statistics, such as percentages, averages, and rates.This accessible book provides an alternative to either naively accepting the statistics we hear or cynically assuming that all numbers are meaningless. It shows how anyone can become a more intelligent, critical, and empowered consumer of the statistics that inundate both the social sciences and our media-saturated lives.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    It follows a more quantitative and design-oriented approach than other texts in the market, helping readers gain a better understanding of important concepts. They'll also discover how material properties relate to the process variables in a given process as well as how to perform manufacturing science and quantitative engineering analysis of manufacturing processes.

    In this edition the authors have created a learning system that makes the chapters easier to navigate and provides a variety of ways for students to learn the material. "Learning Objectives" are now strategically placed throughout the chapter following major headings, and there are review questions at the ends of these major sections. "Chapter Summaries" are now organized around the "Learning Objectives" as well, making it easier for students to return to the place in the book that can help them work through the end-of-chapter material. Icons throughout the chapter direct students to the BiologyNow CD and tells them what they will find there. BiologyNow, the new Student CD-ROM for BIOLOGY Seventh Edition, is also based on these "Learning Objectives" to further reinforce the text's concepts. The BiologyNow CD, fully integrated with the Seventh Edition text, provides access to diagnostic pre-tests for each chapter. It also automatically generates customized learning plans for students, directing students to the information in the book, ancillaries and media program that will help them master specific concepts. Post-tests allow students to assess their progress as well. Personal Tutor with SMARTHINKING, a FREE online live tutoring service. Students can ask questions, get answers, and they don't need to set up appointments! For instructors, a Multimedia Manager provides the text art in PowerPoint form. Instructors also receive an Instructor's Guide, ExamView Electronic Testing and WebTutor course management options. Solomon, Berg, and Martin have gone beyond presenting facts for memorization -- they have created a well-designed pedagogical system through their use and reuse of chapter "Learning Objectives," which is supported by an unbelievable package of materials for instructors and students.

    The book carefully presents the fundamentals of materials processing along with their relevant applications, so that the reader can clearly assess the capabilities, limitations, and potentials of manufacturing processes and their competitive aspects. Using real-world examples and well-wrought graphics, this book covers a multitude of topics, including the mechanical behavior of materials; the structure and manufacturing properties of metals; surfaces, dimensional characteristics, inspection, and quality assurance; metal-casting processes including heat treatment; bulk deformation processes; sheet-metal forming processes; material removal processes; polymers, reinforced plastics, rapid prototyping and rapid tooling; metal powders, ceramics, glasses, composites, and superconductors; joining and fastening processes; microelectronic and micromechanical devices; automation; computer-integrated systems; and product design. For manufacturing engineers, metallurgists, industrial designers, material handlers, product designers, and quality assurance managers.

    

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    It outlines a set of mindsets and habits you can use to help you identify the most impactful parts of your teaching, and put them centre stage.It's about doing less to achieve more.But it's also about being happier and more confident in the classroom. Building stronger routines around the essentials will give you more time and space to appreciate and think creatively about your work.POWER UP YOUR PLANNINGLean Lesson Planning draws on the latest evidence from educational research and cognitive science, to present a concise and coherent framework to help you improve learning experiences and outcomes for your students. It's the evidence-based teacher's guide to planning for learning, and sits alongside books such as Teach Like a Champion, Embedded Formative Assessment, and Visible Learning for Teachers.NOTE If you're looking for ways to short-cut the amount of time you spend planning lessons, then this book is not for you. The approach outlined in Lean Lesson Planning requires effort and practice, that given time, will lead to better teaching and higher quality learning for less input.---CONTENTSACT I Lean foundations1. Defining lean 2. Lean mindsets 3. Lean habits ACT II Habits for planning4. Backwards design 5. Knowing knowledge 6. Checking understanding 7. Efficient strategies 8. Lasting learning 9. Inter-lesson planning ACT III Habits for growing10. Building excellence 11. Growth teaching 12. Collective improvement Lean Lesson Planning is the first instalment in the High Impact Teaching series.

    It is designed as a reference for students in the physical sciences and engineering.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.