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Uncover the truth behind the most common exercise and weight loss myths with "Fitness Uncovered: 101 Myths About Exercise and Weight Loss." This comprehensive guide debunks popular misconceptions and provides evidence-based information to help you achieve your fitness goals. From cardio to strength training, diet and nutrition, and weight loss, this book is an essential resource for anyone looking to improve their health and wellness. With practical tips, expert advice, and real-world examples, "Fitness Uncovered" is the ultimate guide to achieving your best self. Written to empower and motivate you, this book will help you break through mental barriers and overcome obstacles to achieve your fitness goals.
A captivating blend of reportage and personal narrative that explores the untold history of women’s exercise culture--from jogging and Jazzercise to Jane Fonda--and how women have parlayed physical strength into other forms of power. For American women today, working out is as accepted as it is expected, fueling a multibillion-dollar fitness industrial complex. But it wasn’t always this way. For much of the twentieth century, sweating was considered unladylike and girls grew up believing physical exertion would cause their uterus to literally fall out. It was only in the sixties that, thanks to a few forward-thinking fitness pioneers, women began to move en masse. In Let's Get Physical, journalist Danielle Friedman reveals the fascinating hidden history of contemporary women’s fitness culture, chronicling in vivid, cinematic prose how exercise evolved from a beauty tool pitched almost exclusively as a way to “reduce” into one millions have harnessed as a path to mental, emotional, and physical well-being. Let’s Get Physical reclaims these forgotten origin stories—and shines a spotlight on the trailblazers who led the way. Each chapter uncovers the birth of a fitness movement that laid the foundation for working out today: the radical post-war pitch for women to break a sweat in their living rooms, the invention of barre in the “Swinging Sixties,” the promise of jogging as liberation in the seventies, the meteoric rise of aerobics and weight-training in the eighties, the explosion of yoga in the nineties, and the ongoing push for a more socially inclusive fitness culture—one that celebrates every body. Ultimately, it tells the story of how women discovered the joy of physical strength and competence—and how, by moving together to transform fitness from a privilege into a right, we can create a more powerful sisterhood.
One of the biggest frustrations many recreational fitness enthusiasts have to deal with is that despite hours dedicated to exercise and training, some still struggle to reach their desired body fat percentage and cart excess flab either around their middles or in other areas of the body that makes getting the lean look they desire a battle. Could you be nutritionally deficient or could your diet be working against you?
Advanced Algorithms and Data Structures by Marcello La Rocca Pdf
Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization
mHealth Innovation in Asia by Emma Baulch,Jerry Watkins,Amina Tariq Pdf
This book offers a detailed account of a range of mHealth initiatives across South, Southeast and East Asia. It provides readers with deep insights into the challenges such initiatives face on the ground, and a view of the diverse cultural contexts shaping strategies for overcoming these challenges. The book brings together various discussions on the broader mHealth literature, and demonstrates how a research focus on diverse Asian contexts influences the success and/or failure of current mHealth initiatives. It also highlights the important roles social scientists can play in advancing theoretical approaches, as well as planning, implementing and evaluating mHealth initiatives. The book is a valuable resource for project planners, policy developers in NGOs and government institutions, as well as academics, researchers and students in the fields of public health, communications and development studies. This book is open access under a CC BY license
Advances in Escherichia Research and Application: 2013 Edition by Anonim Pdf
Advances in Escherichia Research and Application: 2013 Edition is a ScholarlyBrief™ that delivers timely, authoritative, comprehensive, and specialized information about ZZZAdditional Research in a concise format. The editors have built Advances in Escherichia Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about ZZZAdditional Research in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Escherichia Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Handbook of Evolutionary Machine Learning by Wolfgang Banzhaf,Penousal Machado,Mengjie Zhang Pdf
This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.
ACSM's Introduction to Exercise Science by Jeff Poteiger Pdf
Presenting an engaging, up-to-date overview of exercise science and its related fields, ACSM’s Introduction to Exercise Science, 4th Edition, guides students to success throughout their courses and delivers a robust exploration of potential careers for today’s exercise science professionals. This full-color resource combines a succinct, accessible approach with the proven expertise of the American College of Sports Medicine — the leading authority in exercise science and sports medicine — to establish a practical understanding of how human movement assists individuals in their pursuit of good health, appropriate levels of physical activity and exercise, and successful sport and athletic performance. Each chapter illustrates the importance and practical relevance of key topics and provides an insider’s view of the profession through fascinating interviews and online video profiles and field trips. Updated to meet the needs of today’s emerging professionals, this 4th Edition incorporates new resources that emphasize application and help students make a confident transition to practice.
The statistics about veteran suicide have changed little over the years, hovering most consistently at twenty suicides a day. Most emphasis has been placed on increasing the availability of mental health services for returning soldiers, yet theaters of war present a myriad of factors affecting human health from exposures to toxic elements, extreme environments, and a lack of proper nutrition, not to mention the emotional experiences that all together create a cascade of individualized chemical messenger responses to unrelenting stressors. The War Within informs soldiers, veterans, family members, and caretakers how to first understand what happens to the body under such stressors in theaters of war and how this affects the brain. Once one understands what has happened to the physical body, then appropriate decisions and practices can be undertaken to restore the physical reserves of our warriors, ultimately reversing the heartbreaking suicidal trend that we recognize is currently taking place. The War Within presents a five-part, well-researched program that can serve as a vital complement to the important mental health programs presently being provided for our soldiers and veterans. This program is easy to implement into daily routines, and it enables restoration of optimal brain function, thus reducing the incidence of depression, hopelessness, fatigue, and suicidal ideation.
This book is an interdisciplinary theoretical effort to explain the mind-body problem. Conscious mind is the hard problem to be explained and is the utmost existential question for any scientific mind. Neither a reductionist identity theory nor a commonsense-religious dualism can answer the problem. Human cognitive system can have a natural explanation rather than a religious description. To reduce the mind as what the brain does is too premature and to separate the mind and brain as two independent realities is too trivial. The hypothesis of the book identifies the conscious mind with the emergent functionality of the human brain. And, this is definitely an approximate guess. This informed guess is a challenge to many previously established theories and is an invitation for further research. It demystifies the age old homunculus mind and does not explains it away. To elaborate the theme, the author has incorporated themes such as complex system dynamics, evolution, cosmology, thermodynamics, information and emergence. The philosophical discussion on the first three chapters govern as an intuitive background for the theoretical development in further chapters. It affirms that the mind and brain are neither two dichotomized substances nor are they one and same substance. Chapters from four to eight deal with various themes from natural science with respect to the theme of mind-brain. they involve system dynamics, cosmology, thermodynamics, evolutionary theory and information model. Last chapter assimilates the discussions of previous chapters to propose the key hypothesis of the book viz. mind-brain is the emergent functionality of the human brain which is the matter-energy-information complex system. The universe, which itself is a matter-energy-information system, at least in one occasion, becomes conscious of itself through humans.
Learning Genetic Algorithms with Python by Ivan Gridin Pdf
Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions DESCRIPTION Genetic algorithms are one of the most straightforward and powerful techniques used in machine learning. This book ÔLearning Genetic Algorithms with PythonÕ guides the reader right from the basics of genetic algorithms to its real practical implementation in production environments.Ê Each of the chapters gives the reader an intuitive understanding of each concept. You will learn how to build a genetic algorithm from scratch and implement it in real-life problems. Covered with practical illustrated examples, you will learn to design and choose the best model architecture for the particular tasks. Cutting edge examples like radar and football manager problem statements, you will learn to solve high-dimensional big data challenges with ways of optimizing genetic algorithms. KEY FEATURESÊÊ _ Complete coverage on practical implementation of genetic algorithms. _ Intuitive explanations and visualizations supply theoretical concepts. _ Added examples and use-cases on the performance of genetic algorithms. _ Use of Python libraries and a niche coverage on the performance optimization of genetic algorithms. WHAT YOU WILL LEARNÊ _ Understand the mechanism of genetic algorithms using popular python libraries. _ Learn the principles and architecture of genetic algorithms. _ Apply and Solve planning, scheduling and analytics problems in Enterprise applications. _Ê Expert learning on prime concepts like Selection, Mutation and Crossover. WHO THIS BOOK IS FORÊÊ The book is for Data Science team, Analytics team, AI Engineers, ML Professionals who want to integrate genetic algorithms to refuel their ML and AI applications. No special expertise about machine learning is required although a basic knowledge of Python is expected. TABLE OF CONTENTS 1. Introduction 2. Genetic Algorithm Flow 3. Selection 4. Crossover 5. Mutation 6. Effectiveness 7. Parameter Tuning 8. Black-box Function 9. Combinatorial Optimization: Binary Gene Encoding 10. Combinatorial Optimization: Ordered Gene Encoding 11. Other Common Problems 12. Adaptive Genetic Algorithm 13. Improving Performance
Evolutionary Computation for Modeling and Optimization by Daniel Ashlock Pdf
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
Search-Based Software Engineering by Claire Le Goues,Shin Yoo Pdf
This book constitutes the refereed proceedings of the 6th International Symposium on Search-Based Software Engineering, SSBSE 2014, held in Fortaleza, Brazil. The 14 revised full papers presented together with 2 keynote addresses, 1 invited talk, 1 short paper, 3 papers of the graduate track, and 4 challenge track papers were carefully reviewed and selected from 51 submissions. Search Based Software Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance.
Scalable Optimization via Probabilistic Modeling by Martin Pelikan,Kumara Sastry,Erick Cantú-Paz Pdf
I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and then concludes with relevant applications. The emphasis on e?ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e?ective surrogates, hybrids, and parallel and temporal decompositions.