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Prescriptive Stretching
Elite athletes have long relied on personalised stretching programmes to improve flexibility and prevent injuries.What many of us don’t know is that many of these targeted stretches can have a much broader application.In Prescriptive Stretching, 2nd Edition, Kristian Berg shares his expertise on stretching and athletic training with over 40 different stretches.The visually stunning colour anatomical illustrations demonstrate exactly how each stretch targets a specific muscle.These stretches are designed to eliminate pain, alleviate muscle soreness, improve balance and flexibility and prevent common injuries.The text also features a detailed discussion of PNF stretching, as well as sample stretching programmes designed to improve flexibility and assist with injury prevention for various parts of the body. The essential text shows you how to quickly assess pain and identify the stretches to reduce discomfort.Specifically you’ll find recommendations for common ailments such as headache, back pain, neck stiffness, shoulder soreness, golfer’s elbow, tennis elbow and runner’s knee. Whether you’re looking to increase range of motion or simply eliminate muscle pain, Prescriptive Stretching, 2nd Edition has you covered.
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Decision Making : Descriptive, Normative, and Prescriptive Interactions
The analysis of decision making under uncertainty has again become a major focus of interest.This volume presents contributions from leading specialists in different fields and provides a summary and synthesis of work in this area.It is based on a conference held at the Harvard Business School.The book brings together the different approaches to decision making - normative, descriptive, and prescriptive - which largely correspond to different disciplinary interests.Mathematicians have concentrated on rational procedures for decision making - how people should make decisions.Psychologists have examined how poeple do make decisions, and how far their behaviour is compatible with any rational model.Operations researchers study the application of decision models to actual problems.Throughout, the aim is to present the current state of research and its application and also to show how the different disciplinary approaches can inform one another and thus lay the foundations for the integrated analysis of decision making.The book will be of interest to researchers, teachers - for use as background reading for a decision theory course - students, and consultants and others involved in the practical application of the analysis of decision making.It will be of interest to specialists and students in statistics, mathematics, economics, psychology and the behavioural sciences, operations research, and management science.
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Prescriptive Analytics : Mastering the Spreadsheet of Everything
This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics.The material uses only standard Excel spreadsheet features and functions for creating models.Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis.Spreadsheets with numerous screenshots support visual, hands-on learning (and provide some surprising innovations).Special influence diagrams and non-intimidating but accurate terminology help explain the logic of the models and calculations.Well-structured chapters include guideposts, enrichment, and curated links to valuable external resources.Readers are encouraged to own their learning and think about future trajectories for themselves and the field.This book helps all readers quickly learn tools and concepts to use right away and to expand throughout a career.The book includes access to a companion website featuring workbooks and other valuable materials to support learning.
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Practical Data Analytics for Innovation in Medicine : Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role.With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems.The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.
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Hands-On Prescriptive Analytics : Optimizing Your Decision Making with Python
Business decisions in any context-operational, tactical, or strategic-can have considerable consequences.Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved.These decisions are usually made under the proverbial cloud of uncertainty. With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action-what has already happened.Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future. While all three are important for decision-makers, the primary focus of this book is on the third: prescriptive analytics.Author Walter R. Paczkowski, Ph.D. shows you:The distinction among descriptive, predictive, and prescriptive analyticsHow predictive analytics produces a menu of action optionsHow prescriptive analytics narrows the menu of action optionsThe forms of prescriptive analytics: eight prescriptive methodsTwo broad classes of these methods: non-stochastic and stochasticHow to develop prescriptive analyses for action recommendationsWays to use an appropriate tool-set in Python
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Handbook of Research on Science Teacher Education
This groundbreaking handbook offers a contemporary and thorough review of research relating directly to the preparation, induction, and career long professional learning of K–12 science teachers. Through critical and concise chapters, this volume provides essential insights into science teacher education that range from their learning as individuals to the programs that cultivate their knowledge and practices.Each chapter is a current review of research that depicts the area, and then points to empirically based conclusions or suggestions for science teacher educators or educational researchers.Issues associated with equity are embedded within each chapter.Drawing on the work of over one hundred contributors from across the globe, this handbook has 35 chapters that cover established, emergent, diverse, and pioneering areas of research, including: Research methods and methodologies in science teacher education, including discussions of the purpose of science teacher education research and equitable perspectives; Formal and informal teacher education programs that span from early childhood educators to the complexity of preparation, to the role of informal settings such as museums; Continuous professional learning of science teachers that supports building cultural responsiveness and teacher leadership; Core topics in science teacher education that focus on teacher knowledge, educative curricula, and working with all students; and Emerging areas in science teacher education such as STEM education, global education, and identity development. This comprehensive, in-depth text will be central to the work of science teacher educators, researchers in the field of science education, and all those who work closely with science teachers.
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Pioneering Progress : American Science, Technology, and Innovation Policy
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The Connection Cure: The Prescriptive Power of Movement, Nature, Art, Service, and Belonging
The Connection Cure: The Prescriptive Power of Movement, Nature, Art, Service, and Belonging
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