It has been written by physicians & patients for physicians & patients. The book is designed to:- Facilitate a better dialogue between doctor and patient- Be a helpful reference for physicians and others in the clinic or hospital setting- Serve as a core text for the Grand Rounds CME CourseCore chapters are written with patient information on the left and physician information on the right of the book. This layout helps the physician and patient have a more meaningful dialogue. It also helps the patient to prepare well before diagnostic tests and follow up appointments. Academic chapters written by top researchers in ANS disorders and related conditions summarize key findings in recent research.This book is a collaborative effort of many volunteer physicians and patients to speed the time to proper assessment and treatment of patients with dysautonomia at the community level.

    The text covers the neuroanatomy that medical and other healthcare students need, with expanded coverage of neurophysiology and inclusion of clinical content providing real-life application of neuroanatomy and neurophysiologic concepts to clinical neurologic disorders. Its readability and enhanced full-color illustrations make it a favorite among both students and faculty.Provides a single-author approach for a more consistent, readable text.Contains summary statement headings to help you find what you're looking for within the text.Provides an outline introducing each chapter to help students organize and stay focused as they learn.Includes appealing four-color, computerized three-dimensional images of the brain and brain structures fully integrated with the text.Complements an Electronic Image Bank that is also available separately.Includes more coverage of neurobiology and neurophysiology.Gives more clinical content, including many images depicting neurologic disorders.Features an expanded section on higher cortical function.Features an expanded section on learning and memory.Contains a new chapter on the development, maintenance, and repair of neural connections-an explosive area of research in neuroscience.Supplies a glossary of key terms.Replaces many of the older figures with new, computer-generated illustrations.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    This breathtaking true story is about two men who, on one fateful weekend, tried to show the world a way back down.It was early February 1912, and Franz Reichelt, a Paris tailor, and Rodman Law, a self-described “professional jackass” from New York, were poised, respectively, on the Eiffel Tower and the Statue of Liberty, ready to deploy an experimental parachute. In bat wings and bundled linen, they were almost certain their contraptions would work. Here is the tale of their inspirations and their pluck—and what happened next.Jump! is part of Inventions: Untold Stories of the Beautiful Era, a collection of incredible true stories from the belle epoque, an age of innovation, daring, bluster, and beauty when anything seemed possible. Each piece can be read, listened to, and marveled at in a single sitting.

    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

    She had killed someone with a thought, spread untold disease, and ogled the bodies of other children. Only by performing an exhausting series of secret routines could she make up for what she’d done. But no matter how intricate or repetitive, no act of penance was ever enough.Beautifully written and astonishingly intimate, Because We Are Bad recounts a childhood consumed by obsessive compulsive disorder. As a child, Bailey created a second personality inside herself—"I" became "we"—to help manifest compulsions that drove every minute of every day of her young life. Now she writes about the forces beneath her skin, and how they ordered, organized, and urged her forward. Lily charts her journey, from checking on her younger sister dozens of times a night, to "normalizing" herself at school among new friends as she grew older, and finally to her young adult years, learning—indeed, breaking through—to make a way for herself in a big, wide world that refuses to stay in check.Charming and raw, harrowing and redemptive, Because We Are Bad is an illuminating and uplifting look into the mind and soul of an extraordinary young woman, and a startling portrait of OCD that allows us to see and understand this condition as never before.

    You just limit your calorie intake for two nonconsecutive days each week—500 calories for women, 600 for men. You’ll lose weight quickly and effortlessly with the FastDiet.Scientific trials of intermittent fasters have shown that it will not only help the pounds fly off, but also reduce your risk of a range of diseases from diabetes to cardiovascular disease and even cancer. “The scientific evidence is strong that intermittent fasting can improve health,” says Dr. Mark Mattson, Chief of the Laboratory of Neurosciences, National Institute on Aging, and Professor of Neuroscience, Johns Hopkins University.This book brings together the results of new, groundbreaking research to create a dietary program that can be incorporated into your busy daily life, featuring:• Forty 500- and 600-calorie meals that are quick and easy to make• 8 pages of photos that show you what a typical “fasting meal” looks like• The cutting-edge science behind the program• A calorie counter that makes dieting easy• And much more.Far from being just another fad, the FastDiet is a radical new way of thinking about food, a lifestyle choice that could transform your health. This is your indispensable guide to simple and effective weight loss, without fuss or the need to endlessly deprive yourself.

    It may be the start of a scientific experiment that could alter the human race forever--and reveal a shocking truth about our future.Experience the groundbreaking novel that will change everything you think you know about pandemics--and how to survive one.“Reads like a superior collaboration between Dan Brown and Michael Crichton.”—The GuardianNow an Amazon Charts and Wall Street Journal bestseller.A hundred miles north of Alaska, a US Coast Guard vessel discovers a sunken submarine at the bottom of the Arctic Ocean. It has no national identification and doesn’t match the records of any known vessel. Deep within, researchers find evidence of a scientific experiment that will rewrite our basic understanding of the human race.In Atlanta, Dr. Peyton Shaw is awakened by the phone call she has dreaded for years. As the CDC’s leading epidemiologist, she’s among the first responders to outbreaks around the world. It’s a lonely and dangerous job, but it’s her life—and she’s good at it. This time, she may have met her match.In Kenya, an Ebola-like pathogen has infected two Americans. One lies at death’s door. With the clock ticking, Peyton assembles her team and joins personnel from the Kenyan Ministry of Health and the WHO. What they find in the remote village is beyond their worst fears. As she traces the origin of the pathogen, Peyton begins to believe that there is more to this outbreak—that it may be merely the opening act in a conspiracy with far reaching consequences.In Berlin, Desmond Hughes awakens in a hotel room with no memory of how he got there or who he is. On the floor, he finds a dead security guard from an international pharmaceutical company. His only clue leads him to Peyton Shaw—a woman who seems to know him, but refuses to tell him how. With the police searching the city for him, Desmond desperately tries to piece together what happened to him. To his shock and horror, he learns that he may be involved in causing the outbreak—and could hold the only key to stopping it.As the pathogen spreads around the world, Peyton and Desmond race to unravel the conspiracy behind the pandemic—and uncover secrets some want to keep buried. With time running out, they face an unimaginable decision.Buy now and begin the journey (or read for free in Kindle Unlimited).Selected Praise and Published Reviews“I finished the book fast because I just couldn’t wait...”—WIRED GeekDad on Departure“Riddle makes an effort to keep the focus on how his characters react to each other (including to their future selves) rather than to the technological marvels that reshaped their world.”—Publisher’s Weekly on Departure“Well-constructed and tightly-wound as a fine Swiss watch—Departure has non-stop action, an engaging plot and, of course, wheels within wheels.”—Diana Gabaldon, #1 New York Times bestselling author of Outlander on Departure About Pandemic

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    Psychiatrist and psychoanalyst, Norman Doidge, M.D., traveled the country to meet both the brilliant scientists championing neuroplasticity and the people whose lives they’ve transformed - people whose mental limitations or brain damage were seen as unalterable. We see a woman born with half a brain that rewired itself to work as a whole, blind people who learn to see, learning disorders cured, IQs raised, aging brains rejuvenated, stroke patients learning to speak, children with cerebral palsy learning to move with more grace, depression and anxiety disorders successfully treated, and lifelong character traits changed. Using these marvelous stories to probe mysteries of the body, emotion, love, sex, culture, and education, Dr. Doidge has written an immensely moving, inspiring book that will permanently alter the way we look at our brains, human nature, and human potential.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    

    Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much heralded scholar who studies the stuff and riddles of everyday life -- from cheating and crime to sports and child rearing -- and whose conclusions regularly turn the conventional wisdom on its head. He usually begins with a mountain of data and a simple, unasked question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and co-author Stephen J. Dubner show that economics is, at root, the study of incentives -- how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they set out to explore the hidden side of ... well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Ku Klux Klan.What unites all these stories is a belief that the modern world, despite a surfeit of obfuscation, complication, and downright deceit, is not impenetrable, is not unknowable, and -- if the right questions are asked -- is even more intriguing than we think. All it takes is a new way of looking. Steven Levitt, through devilishly clever and clear-eyed thinking, shows how to see through all the clutter.Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.(front flap)

    In two years, this ring of card savants earned more than three million dollars. Filled with tense action and incredibly close calls, this is a real-life adventure that could have stepped straight out of a Hollywood film.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.