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An Introduction to Emergency Exercise Design and Evaluation is designed to help practitioners and students of emergency management understand various aspects of the exercise design process. Emergency exercises are an important component of an organization's emergency planning and preparedness, yet few emergency managers and practitioners have training in designing or evaluating them. In this updated and practical handbook, author Robert McCreight explains the essential elements and core principles of exercise design and evaluation. This book focuses on natural disasters and technological emergencies that occur in communities of any size. It provides emergency planners, public health professionals, emergency managers, police officers, and fire fighters with an in-depth look at exercise design issues and an accessible guide to designing and evaluating emergency exercises.
Foundation for good movement is necessary. In this installment, Hebert walks us through all the exercises relating to arm, leg, trunk, hopping, support, suspension and breathing, and later weaves the use of equipment into all those layers. A must for anyone, in any activity."
“What is the God of the philosopher? Can the philosopher, that is to say, can human reason, unenlightened by the revealed word, come to a true and secure understanding of ‘He-Who-Is’? Is it possible for mere man, without the impact of a personal experience, intimate and intuitive, to arrive by means of an objective demonstration at an absolute affirmation that the Being we call God exists, or that He is Pure Act, Existence Itself, because without him the world of our experience is unintelligible, a complete contradiction? “And even if we admit, as all Christian philosophers must, that unaided reason is able by its own power to reach an objectively true and secure assent that God exists, is there any evidence, in the recorded history of our world, that man, without the directive knowledge of revelation, ever did secure by a metaphysical effort this absolute truth that the Ipsum Esse exists? Whatever be the answer to this difficult problem—and we do not pretend to know it—it is obvious that Father Holloway, in composing his philosophical approach to God, allowed himself to be guided by the knowledge of faith. Indeed, he must have prayed often for the enlightenment which the supernatural motion of divine grace brings even to the limited and imperfect intellect of a philosopher.” —From the Foreword by Henri Renard, S.J.
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Physical activity and its relationship to health is one of the great issues of our age. The causes of, and solutions to, physical inactivity are complex and multi-dimensional, and therefore the subject needs to be studied and understood from a variety of perspectives. This is the first textbook to provide a truly multi-disciplinary introduction to physical activity studies. Offering a complete foundation to the subject, it covers the basics of every core discipline from biochemistry, public health and biomechanics to physiology, sport psychology and sociology. It introduces a full range of topics across the physical activity curriculum, including behaviour change, motor skill development, nutrition, exercise prescription, public health policy, and physical education, providing a well-balanced and international perspective on each important issue. There is also a strong emphasis throughout the book on the practical, applied dimensions of physical activity, including innovative approaches to promotion and intervention tailored to every age range and environment. Physical Activity: A Multi-disciplinary Introduction is an indispensable companion to any course or degree programme with an emphasis on physical activity and health. A variety of exclusive eResources to aid teaching and learning are also available via the Routledge website.
All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman. What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity. This JavaScript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations. Embark on this extraordinary adventure with projects involving: A physics engine: Simulate the push and pull of gravitational attraction. Flocking birds: Choreograph the mesmerizing dance of a flock. Branching trees: Grow lifelike and organic tree structures. Neural networks: Craft intelligent systems that learn and adapt. Cellular automata: Uncover the magic of self-organizing patterns. Evolutionary algorithms: Play witness to natural selection in your code. Shiffman’s work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity. Whether you’re deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman’s guidance is sure to inform and inspire. The Nature of Code is not just about coding; it’s about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art—all while mastering coding fundamentals along the way. NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
This fourth edition is designed to help practitioners of emergency management understand various aspects of the exercise design process. It provides a unique perspective as it is the first edition published since the COVID-19 pandemic. This book includes new material on what to expect in emergency management through 2030.
The bestselling author of The Willpower Instinct introduces a surprising science-based book that doesn't tell us why we should exercise but instead shows us how to fall in love with movement. Exercise is health-enhancing and life-extending, yet many of us feel it's a chore. But, as Kelly McGonigal reveals, it doesn't have to be. Movement can and should be a source of joy. Through her trademark blend of science and storytelling, McGonigal draws on insights from neuroscience, psychology, anthropology, and evolutionary biology, as well as memoirs, ethnographies, and philosophers. She shows how movement is intertwined with some of the most basic human joys, including self-expression, social connection, and mastery--and why it is a powerful antidote to the modern epidemics of depression, anxiety, and loneliness. McGonigal tells the stories of people who have found fulfillment and belonging through running, walking, dancing, swimming, weightlifting, and more, with examples that span the globe, from Tanzania, where one of the last hunter-gatherer tribes on the planet live, to a dance class at Juilliard for people with Parkinson's disease, to the streets of London, where volunteers combine fitness and community service, to races in the remote wilderness, where athletes push the limits of what a human can endure. Along the way, McGonigal paints a portrait of human nature that highlights our capacity for hope, cooperation, and self-transcendence. The result is a revolutionary narrative that goes beyond familiar arguments in favor of exercise, to illustrate why movement is integral to both our happiness and our humanity. Readers will learn what they can do in their own lives and communities to harness the power of movement to create happiness, meaning, and connection.