It is more concise and easier to read than some, yet it covers the breadth of emergency medicine practice more comprehensively than others. The bottom line is that I like this book. Just as previous editions did, the seventh presents all of the most pertinent and up-to-date information in a well-organized format that is comprehensive yet easy to read. That and many of the attractive new features in this current edition will ensure its place on my bookshelf for years to come."--JAMAWith 418 contributors representing over 120 medical centers around the world, Tintinalli’s Emergency Medicine is the most practical and clinically rigorous reference of its kind. It covers everything from prehospital care, disaster preparedness, and basic resuscitative techniques, to all the major diseases requiring emergency treatment, such as pulmonary emergencies, renal and GU disorders, and hemophilia. This authoritative, in-depth coverage makes this classic text indispensible not only in emergency departments, but also for residents and practitioners when studying or preparing for any exam they may face.While continuing to provide the most current information for acute conditions, the Seventh Edition of Tintinalli’s Emergency Medicine has been substantially revised and updated to cover all of the conditions for which patients seek emergency department care in a concise and easy-to-read-manner.NEW Features• Full-color design with more figures and tables than ever• Reader-friendly chapter presentation makes it easy to find important material.• Updated tables covering drugs and important clinical information• Patient safety considerations and injury prevention are integrated into chapters, as appropriate• Total revision of the dermatology section enables diagnosis by lesion description and body area affected, and provides current treatment• Organ systems sections reorganized to reflect considerations for actual clinical practice.• New chapters: New adult chapters include Natural Disasters, Aneurysms of the Aorta and Major Arteries; Hip and Knee Pain, Aortic Dissection; Acute Urinary Retention; Subarachnoid Hemorrhage and Intracranial Bleeding; Clotting Disorders; Community –acquired Pneumonia and Noninfectious Pulmonary Infiltrates; Type I Diabetes; Type II Diabetes; Anemia; Tests of Hemostasis; Clotting Disorders; Head Injury in Adults and Children; the Transplant Patient; Grief, Death and Dying; and Legal Issues in Emergency Medicine. Twelve new pediatric chapters including The Diabetic Child, Hematologic-Oncologic Emergencies, Ear and Mastoids, Eye Problems in Infants and Children, Neck Masses, GI Bleeding, Nose and Sinuses, Urologic and Gynecologic Procedures in children, Renal emergencies in children, Behavioral and Psychiatric Disorders in children, Pediatric Procedures, Pediatric ECG Interpretation• Greater coverage of procedures throughout for the most common conditions seen in the emergency department.• Companion DVD features an additional 17 chapters, such as Hyperbaric Oxygen Therapy, Principles of Imaging, Prison Medicine, Military Medicine, The Violent Patient, Forensics, Wound Ballistics, and Drug Interactions.• Companion DVD also features videos and animations for teaching and learning performance of important procedures, especially Ultrasound-Guided Procedures

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    The authors have done nursing a wonderful service by bringing to light the touching, funny, heartfelt an

    Charging customers on a monthly basis, firms with this model have to play by an entirely new set of rules, rules which generally favor the customer over the seller. But this new model also opens up fantastic opportunities to provide and extract more value from the relationship as well. To create that value business needs to move away from a hunting mindset to a farming mindset. That change is the new paradigm of Customer Success.Many business leaders have heard of Customer Success but few understand what it really means to run their business from the Customer Success standpoint. Even fewer have the experience to build the Customer Success function and optimize its performance.As a pioneer in the field of Customer Success, Guy Nirpaz is acknowledged as one of the earliest proponents of this business realignment.In “Farm Don’t Hunt” Guy breaks down the intellectual underpinnings of Customer Success as a theory and quickly moves to providing pragmatic, actionable advice for orienting your business around this new model.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    Craig Canapari became a father, he realized that all his years of 36-hour hospital shifts didn't even come close to preparing him for the sleep deprivation that comes with parenthood. The difference is that parents don’t get a break—it’s hard to know if there’s a night of uninterrupted sleep anywhere in the foreseeable future. Sleepless nights for kids mean sleepless nights for the rest of the family—and a grumpy group around the breakfast table in the morning.   In It's Never Too Late to Sleep Train, Canapari helps parents harness the power of habit to chart a clear path to high-quality sleep for their children. The result is a streamlined two-step sleep training plan that focuses on cues and consequences, the two elements that shape all habits and that take on special importance when it comes to kids’ bedtime routines.   Dr. Canapari distills years of clinical research and experience to make sleep training simple and stress-free. Even if you’ve been told that you’ve missed the optimal "window" for sleep training, Dr. Canapari is here to prove that it's never too late, whether your child is 6 months or 6 years old. He's on your side in the battle against bedtime, and with his advice, parents and children alike can expect a lifetime of healthy sleep.

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    Jon infuses this engaging story with keen insights as he provides a powerful roadmap to overcome adversity and bring out the best in yourself and your team. When you get on The Energy Bus you'll enjoy the ride of your life!

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    It's a tremendous opportunity for tens of thousands of IT professionals, but it's also a huge challenge: the program requires a complete makeover of archaic records systems, workflows, and other practices now in place.This book points out how hospitals and doctors' offices differ from other organizations that use IT, and explains what's necessary to bridge the gap between clinicians and IT staff.Get an overview of EHRs and the differences among medical settingsLearn the variety of ways institutions deal with patients and medical staff, and how workflows varyDiscover healthcare's dependence on paper records, and the problems involved in migrating them to digital documentsUnderstand how providers charge for care, and how they get paidExplore how patients can use EHRs to participate in their own careExamine healthcare's most pressing problem--avoidable errors--and how EHRs can both help and exacerbate it

    health care system is in crisis. At stake are the quality of care for millions of Americans and the financial well-being of individuals and employers squeezed by skyrocketing premiums—not to mention the stability of state and federal government budgets.In Redefining Health Care, internationally renowned strategy expert Michael Porter and innovation expert Elizabeth Teisberg reveal the underlying—and largely overlooked—causes of the problem, and provide a powerful prescription for change.The authors argue that competition currently takes place at the wrong level—among health plans, networks, and hospitals—rather than where it matters most, in the diagnosis, treatment, and prevention of specific health conditions. Participants in the system accumulate bargaining power and shift costs in a zero-sum competition, rather than creating value for patients. Based on an exhaustive study of the U.S. health care system, Redefining Health Care lays out a breakthrough framework for redefining the way competition in health care delivery takes place—and unleashing stunning improvements in quality and efficiency.With specific recommendations for hospitals, doctors, health plans, employers, and policy makers, this book shows how to move health care toward positive-sum competition that delivers lasting benefits for all.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    If we can just find that great job, win that next promotion, lose those five pounds, happiness will follow. But recent discoveries in the field of positive psychology have shown that this formula is actually backward: Happiness fuels success, not the other way around. When we are positive, our brains become more engaged, creative, motivated, energetic, resilient, and productive at work. This isn’t just an empty mantra. This discovery has been repeatedly borne out by rigorous research in psychology and neuroscience, management studies, and the bottom lines of organizations around the globe.             In The Happiness Advantage, Shawn Achor, who spent over a decade living, researching, and lecturing at Harvard University, draws on his own research—including one of the largest studies of happiness and potential at Harvard and others at companies like UBS and KPMG—to fix this broken formula. Using stories and case studies from his work with thousands of Fortune 500 executives in 42 countries, Achor explains how we can reprogram our brains to become more positive in order to gain a competitive edge at work.             Isolating seven practical, actionable principles that have been tried and tested everywhere from classrooms to boardrooms, stretching from Argentina to Zimbabwe, he shows us how we can capitalize on the Happiness Advantage to improve our performance and maximize our potential. Among the principles he outlines:      • The Tetris Effect: how to retrain our brains to spot patterns of possibility, so we can see—and seize—opportunities wherever we look.    • The Zorro Circle: how to channel our efforts on small, manageable goals, to gain the leverage to gradually conquer bigger and bigger ones.    • Social Investment: how to reap the dividends of investing in one of the greatest predictors of success and happiness—our social support network  A must-read for everyone trying to excel in a world of increasing workloads, stress, and negativity, The Happiness Advantage isn’t only about how to become happier at work. It’s about how to reap the benefits of a happier and more positive mind-set to achieve the extraordinary in our work and in our lives.From the Hardcover edition.

    Having experienced grief from both sides—as both a therapist and as a woman who witnessed the accidental drowning of her beloved partner—Megan writes with deep insight about the unspoken truths of loss, love, and healing. She debunks the culturally prescribed goal of returning to a normal, "happy" life, replacing it with a far healthier middle path, one that invites us to build a life alongside grief rather than seeking to overcome it. On this unabridged audio recording read by the author, Megan offers stories, research, life tips, and creative and mindfulness-based practices to guide us through an experience we all must face. With Megan’s gentle but direct guidance, you’ll learn: • Why well-meaning advice, therapy, and spiritual wisdom so often end up making it harder for people in grief • How challenging the myths of grief—doing away with stages, timetables, and unrealistic ideals about how grief should unfold—allows us to accept it as a mystery to be honored instead of a problem to solve • Practical guidance for managing stress, improving sleep, and decreasing anxiety without trying to "fix" your pain Many people who have suffered a loss feel judged, dismissed, and misunderstood by a culture that wants to "solve" grief. Megan writes, "Grief no more needs a solution than love needs a solution." It’s OK That You’re Not OK is a book for grieving people, those who love them, and all those seeking to love themselves—and each other—better.