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Introduction to Exercise Science

Kinanthropometry and Exercise Physiology

Molecular Exercise Physiology An Introduction

Molecular Exercise Physiology An Introduction

Fully revised and expanded the second edition of Molecular Exercise Physiology offers a student-friendly introduction. It introduces a history documenting the emergence of molecular biology techniques to investigate exercise physiology the methodology used exercise genetics and epigenetics and the molecular mechanisms that lead to adaptation after different types of exercise with explicit links to outcomes in sport performance nutrition physical activity and clinical exercise. Structured around key topics in sport and exercise science and featuring contributions from pioneering scientists such as Nobel Prize winners this edition includes new chapters based on cutting-edge research in epigenetics and muscle memory satellite cells exercise in cancer at altitude and in hot and cold climates. Chapters include learning objectives structured guides to further reading review questions overviews of work by key researchers and box discussions from important pioneers in the field making it a complete resource for any molecular exercise physiology course. The book includes cell and molecular biology laboratory methods for dissertation and research projects in molecular exercise physiology and muscle physiology. This book is essential reading for upper-level undergraduate or postgraduate courses in cellular and molecular exercise physiology and muscle physiology. It is a valuable resource for any student with an advanced interest in exercise physiology in both sport performance and clinical settings. | Molecular Exercise Physiology An Introduction

GBP 56.99
1

Nutrition and Exercise Immunology

GBP 59.99
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Sport and Exercise Physiology Testing Guidelines: Volume II - Exercise and Clinical Testing The British Association of Sport and Exercise Sc

Sport and Exercise Physiology Testing Guidelines: Volume II - Exercise and Clinical Testing The British Association of Sport and Exercise Sc

Since its first published edition more than 30 years ago the BASES (British Association of Sport and Exercise Sciences) Physiological Testing Guidelines have represented the leading knowledge base of current testing methodology for sport and exercise scientists. Sport and exercise physiologists conduct physiological assessments that have proven validity and reliability both in laboratory and sport-specific contexts. A wide variety of test protocols have been developed adapted and refined to support athletes of all abilities reach their full potential. This book is a comprehensive guide to these protocols and to the key issues relating to physiological testing. With contributions from leading specialist sport physiologists and covering a wide range of mainstream sports in terms of ethical practical and methodological issues this volume represents an essential resource for sport-specific exercise testing in both research and applied settings. This new edition draws on the authors’ experience of supporting athletes from many sports through several Olympic cycles to achieve world leading performances. While drawing on previous editions it is presented in a revised format matching the sport groupings used in elite sport support within the UK sport institutes. Building on the underpinning general procedures these specific chapters are supported by appropriate up-to-date case studies in the supporting web resources. | Sport and Exercise Physiology Testing Guidelines: Volume II - Exercise and Clinical Testing The British Association of Sport and Exercise Sc

GBP 48.99
1

Exercise Management for Referred Medical Conditions

Exercise Management for Referred Medical Conditions

Exercise referral describes the process of consultation planning and instructing physical activity programmes and applying appropriate behaviour change strategies for clients presenting a range of low- to medium-risk medical conditions. Exercise Management for Referred Medical Conditions is the first book to integrate exercise prescription with the development of healthy behaviours and the promotion of physical activity and well-being and provides students with an evidence-based applied guide to becoming effective exercise referral practitioners. The book draws upon the latest research and recommends best practices for creating referral pathways providing exercise programmes and engaging clients in health lifestyles. Covering the pathology medical management role of exercise and recommendations for programming in each case it discusses a range of conditions including: Obesity and type I and II diabetes Hypertension and dyslipidaemia Asthma Low back pain osteoarthritis and joint replacement rheumatoid arthritis and osteoporosis Depression anxiety and stress disorders Consistently organised and laden with pedagogical features including learning objectives key terms case studies future developments and chapter summaries no other book offers such a clear holistic model for exercise referral. This is a vital resource for any student undertaking vocational courses in exercise referral and an important reference for exercise scientists physical therapists fitness professionals or local policy-makers interested in the use of physical activity in healthcare.

GBP 44.99
1

Sport and Exercise Medicine An Essential Guide

The Exercise Effect on Mental Health Neurobiological Mechanisms

Sport and Exercise Physiology Testing Guidelines: Volume I - Sport Testing The British Association of Sport and Exercise Sciences Guide

Sport and Exercise Physiology Testing Guidelines: Volume I - Sport Testing The British Association of Sport and Exercise Sciences Guide

Since its first published edition more than 30 years ago the BASES (British Association of Sport and Exercise Sciences) Physiological Testing Guidelines have represented the leading knowledge base of current testing methodology for sport and exercise scientists. Sport and exercise physiologists conduct physiological assessments that have proven validity and reliability both in laboratory and sport-specific contexts. A wide variety of test protocols have been developed adapted and refined to support athletes of all abilities reach their full potential. This book is a comprehensive guide to these protocols and to the key issues relating to physiological testing. With contributions from leading specialist sport physiologists and covering a wide range of mainstream sports in terms of ethical practical and methodological issues this volume represents an essential resource for sport-specific exercise testing in both research and applied settings. This new edition draws on the authors’ experience of supporting athletes from many sports through several Olympic cycles to achieve world leading performances. While drawing on previous editions it is presented in a revised format matching the sport groupings used in elite sport support within the UK sport institutes. Building on the underpinning general procedures these specific chapters are supported by appropriate up-to-date case studies in the supporting web resources. | Sport and Exercise Physiology Testing Guidelines: Volume I - Sport Testing The British Association of Sport and Exercise Sciences Guide

GBP 48.99
1

Sport and Exercise Medicine OSCEs An Essential Revision Guide

Sport and Exercise Medicine OSCEs An Essential Revision Guide

As the only text on the market for Sport and Exercise Medicine objective structured clinical examinations (OSCEs) this is an invaluable guide for those studying sport and exercise medicine and sitting examinations. Whilst specifically targeted at the OSCE this book will have much wider appeal throughout the clinical setting. Sport and Exercise Medicine is a new and developing specialty and there has been a rapid increase in the number of universities offering MSc degrees in Sport and Exercise Medicine and more candidates year on the year sitting the Faculty of Sport and Exercise Medicine (FSEM) diploma exam. It is a niche specialty with very little content taught at an undergraduate level therefore knowing the material that is examined is often challenging compared with other specialties. This book provides the content to fill that need. The book is divided into sections based on the main topics that arise in sport and exercise medicine OSCEs with both core knowledge and practical tips to ensure a fluid and confident performance by the examinee in every station. A wide range of readers will benefit from this book including those about to sit a postgraduate examination in sport and exercise medicine or those enrolled in a postgraduate certificate or master’s course in the specialty. It will also be useful to doctors and allied healthcare professionals such as physiotherapists sports therapists podiatrists and nurses as well as undergraduate students. Further the young clinician who is just starting out and wants to build their confidence in musculoskeletal assessment and presenting to seniors will gain much from reading this book. | Sport and Exercise Medicine OSCEs An Essential Revision Guide

GBP 51.99
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The Psychology of Exercise Integrating Theory and Practice

Applied Exercise Psychology The Challenging Journey from Motivation to Adherence

Routledge Handbook of Qualitative Research in Sport and Exercise

Laboratory and Field Exercises in Sport and Exercise Biomechanics

Advanced Statistics for Kinesiology and Exercise Science A Practical Guide to ANOVA and Regression Analyses

Innovation Commercialization and Start-Ups in Life Sciences

Innovation Commercialization and Start-Ups in Life Sciences

Innovation is a translation of a new method idea or product into reality and profit. It is a process of connected steps that accumulates into a brand reputation required for success. Unlike Fortune 500 companies whose projects are self-funded a start-up must simultaneously have a value proposition that attracts a customer (for revenue) investors (for capital) and acquirers (for a liquidity event or IPO). A high percentage of start-ups fail before attaining positive cashflow due to a variety of reasons that are detailed in this book. Avoiding the pitfalls and wrong turns are the goals of this book. Innovation Commercialization and Start-Ups in Life Sciences details the methodologies necessary to create a successful life science start-up from initiation to exit. Written by an expert who has worked with more nearly 500 life science start-ups this book discusses specific processes and investor milestones that must be navigated to align customer funder and acquirer needs. Successful commercialization requires attention to multiple constituents such as investors regulators and customers. Investors require liquidity for their return which is achieved through selling their stock in a public or private sale. The reader will gain an appreciation for the necessary data partnerships and skills needed to create a competitive and sustainable company. The author discusses such specific issues as customer problems demonstrating sales access and ensuring intellectual property is impervious to competitive advancement. This book is intended to be suitable for entrepreneurs venture capitalists and investors in both business and academic settings. These organizations have specific departments such as R&D operations business development legal regulatory and marketing that would also benefit from this book. FEATURES Focuses specifically on life science start-ups Examines how to determine a company valuation and future fundable milestones Explores how to align regulatory and clinical strategies Discusses intellectual property derived from a university or individual through formation to exit. Reviews how start‐ups must simultaneously meet the needs of multiple constituencies at once: investors regulators customers and exit candidates James F. Jordan is an author consultant and speaker. He is a Distinguished Service Professor of Healthcare & Biotechnology Management a former Fortune 100 executive and a managing director of a venture fund. Access the Support Material: https://healthcaredata. center/ Cover design by Sarah Mailhott.

GBP 56.99
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The Psychology of Perfectionism in Sport Dance and Exercise

Body Composition Health and Performance in Exercise and Sport

Body Composition Health and Performance in Exercise and Sport

Interest in the relationships between body structure and function in physical activity has persisted for centuries. Body Composition: Health and Performance in Exercise and Sport advances understanding beyond simple descriptions of body physique and composition of athletes and fills gaps in our understanding of the important role of muscle fat and bone in facilitating physical performance and health in sports and physically demanding occupations. lt addresses basic practical and applied topics in body composition performance and health with comprehensive reviews organized in four logical parts: Body Composition Assessment; Physical Activity and Body Composition; Body Composition in Sports and Occupations; and Moderating Factors. This book integrates state-of-the-art knowledge by international experts in the field and produces an evidence-based practical guide for a balanced understanding of the role and use of body composition assessment in physical performance and health for youth and adults. It also provides a needed link between the practice of body composition assessment and its application by members of public health advisory committees that develop national guidelines for diet physical activity and health. This book is suitable for students and professionals in sports nutrition exercise science kinesiology and athletic training. Sport administrators and policy-makers for international and national sport federations and organizations and national intercollegiate and scholastic federations would also benefit from this book. | Body Composition Health and Performance in Exercise and Sport

GBP 44.99
1

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning Entropy Randomization in Machine Learning considers several applications to binary classification modelling the dynamics of the Earth’s population predicting seasonal electric load fluctuations of power supply systems and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing through structuring randomized models and algorithmic procedure to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning researchers and engineers involved in the development of applied machine learning systems and researchers of forecasting problems in various fields.

GBP 82.99
1

Introduction to Machine Learning and Bioinformatics

Cost-Sensitive Machine Learning

Cost-Sensitive Machine Learning

In machine learning applications practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting validation and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles. Spurring further research on several open problems this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

GBP 59.99
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Machine Learning for Neuroscience A Systematic Approach

Machine Learning for Neuroscience A Systematic Approach

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology cellular neuroscience neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN) clustering and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience. | Machine Learning for Neuroscience A Systematic Approach

GBP 82.99
1

Measurement and Evaluation in Physical Activity Applications Exercise Science Physical Education Coaching Athletic Training and Health

Hands-On Machine Learning with R

Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R which includes using various R packages such as glmnet h2o ranger xgboost keras and others to effectively model and gain insight from their data. The book favors a hands-on approach providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book the reader will be exposed to the entire machine learning process including feature engineering resampling hyperparameter tuning model evaluation and interpretation. The reader will be exposed to powerful algorithms such as regularized regression random forests gradient boosting machines deep learning generalized low rank models and more! By favoring a hands-on approach and using real word data the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages understand when and how to tune the various hyperparameters and be able to interpret model results. By the end of this book the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering resampling deep learning and more. · Uses a hands-on approach and real world data.

GBP 82.99
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