A novel view of fitness as it relates to healthcare, which the authors don't really view as separate. Nor do they view the "mind" as separate from the body, rather arises out of it, and is a powerful tool for health and longevity.

Healthspan: A Functional Guide to Living Long and Dying Young

Zhang, Dongxun

Zhang, Bob

Kincade, David

Health, Fitness & Dieting

CreateSpace Independent Publishing Platform

DISCOVER A NEW OUTLOOK ON THE PROCESS OF LIFE—AND IMPROVE YOUR HEALTH AS A RESULT In Intended Evolution, authors Dongxun and Bob Zhang introduce a different perspective on the theory of evolution: Life is not only selected by nature but intentionally interacts with it, learning how to better its future. They explain that applying this idea to generally accepted principles of biology can have startling results in your ability to affect your own health—and even your evolution. According to the theory of intended evolution, organisms gather information through sensory experience and use that knowledge to effect change in themselves and their environments. The authors propose that organisms use this saved information to make choices projected to enhance their survival. It is through experience, choices, and action, within a given environment, that life changes itself from moment to moment and determines what changes are needed for future generations. Because of humans’ unique ability to understand how our own evolution functions, we can effect changes within ourselves to influence and enhance our health and fitness, even to lengthen our lifespan.

Intended Evolution: How Selection of Intelligence Guides Life Forward

Science & Math

Evolution

River Grove Books

This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems. It features the most current research findings in all aspects of tongue image acquisition, preprocessing, classification, and diagnostic support methodologies, from theoretical and algorithmic problems to prototype design and development of CTD systems. The book begins with a very in-depth description of CTD on a need-to-know basis which includes an overview of CTD systems and traditional Chinese medicine (TCM) in order to provide the information on the context and background of tongue image analysis. The core part then introduces algorithms as well as their implementation methods, at a know-how level, including image segmentation methods, chromatic correction, and classification of tongue images. Some clinical applications based on these methods are presented for the show-how purpose in the CTD research field. Case studies highlight different techniques that have been adopted to assist the visual inspection of appendicitis, diabetes, and other common diseases. Experimental results under different challenging clinical circumstances have demonstrated the superior performance of these techniques. In this book, the principles of tongue image analysis are illustrated with plentiful graphs, tables, and practical experiments to provide insights into some of the problems. In this way, readers can easily find a quick and systematic way through the complicated theories and they can later even extend their studies to special topics of interest. This book will be of benefit to researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, clinical practice, and TCM, as well as those involved in interdisciplinary research.

Tongue Image Analysis

Computers & Technology

Zhang, David

Zhang, Hongzhi

Computer Science

Springer

This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems. It features the most current research findings in all aspects of tongue image acquisition, preprocessing, classification, and diagnostic support methodologies, from theoretical and algorithmic problems to prototype design and development of CTD systems. The book begins with a very in-depth description of CTD on a need-to-know basis which includes an overview of CTD systems and traditional Chinese medicine (TCM) in order to provide the information on the context and background of tongue image analysis. The core part then introduces algorithms as well as their implementation methods, at a know-how level, including image segmentation methods, chromatic correction, and classification of tongue images. Some clinical applications based on these methods are presented for the show-how purpose in the CTD research field. Case studies highlight different techniques that have been adopted to assist the visual inspection of appendicitis, diabetes, and other common diseases. Experimental results under different challenging clinical circumstances have demonstrated the superior performance of these techniques. In this book, the principles of tongue image analysis are illustrated with plentiful graphs, tables, and practical experiments to provide insights into some of the problems. In this way, readers can easily find a quick and systematic way through the complicated theories and they can later even extend their studies to special topics of interest. This book will be of benefit to researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, clinical practice, and TCM, as well as those involved in interdisciplinary research.

Information Fusion: Machine Learning Methods

Li, Jinxing

What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications -- facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features -- are identified.The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.

Facial Multi-characteristics and Applications

Zhao, Qijun

World Scientific Publishing Company

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