Discover how the miracles of ancient Chinese healing techniques can compliment modern medicine to battle breast cancer."The whole presentation is clear and logical, and even the first ten chapters on the theoretical and historical aspect of Chinese medicine is fascinating and thought-provoking. Strongly recommended." — Library JournalFor centuries, traditional Chinese medicine has helped millions of cancer patients...

The Dragon's WayTo Natural, Healthy, Lasting Weight LossHere at last is the secret to taking off pounds and inches and keeping them off for life. Unlike popular "miracle" diet programs and products, The Dragon's Way addresses the root cause of your weight problems and offers a remarkable six-week program that shows you how to reach your optimum weight and stay there. The Dragon's Way is based on Traditional Chinese Medicine (TCM) theories that have been practiced ...

This book presents a fine-grained and dynamic description of the discursive construction of legal reasoning in judicial opinions, drawing upon the Systemic Functional linguistic perspective of language and genre. It aims to explore the discursive resources in constructing legal reasoning across metafunctions, at different levels, and of various sizes.This book contributes to the linguistic understanding of legal reasoning in judicial opinions and extends genre studies to large text...

This Element offers a comprehensive examination of forensic linguistics in China. It traces the origins of the field in the 1980s and 1990s, and highlights the progress made in the 2000s, with a focus on the work of influential scholars such as Pan Qingyun, Wang Jie, Du Jinbang, Liao Meizhen, Yuan Chuanyou, and Wang Zhenhua. It discusses the development of Discourse Information Theory, the Principle of Goal, Functional Forensic Discourse Analysis, and Legal Discourse as a Social Process. I...

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu pre...

This book investigates the relationship between social capital and loneliness of older adults living in urban China during the COVID-19 outbreak period. It also tested the mediation role of community-based cognitive social capital on the relationship between community-based structural social capital and loneliness of older urban Chinese adults.This book targets at a broad audience with knowledge in social gerontology and social work with older adults. It will appeal to academic res...

Featuring a collection of newly commissioned essays, edited by two leading scholars, this Handbook surveys the key research findings in the field of English for Specific Purposes (ESP).• Provides a state-of-the-art overview of the origins and evolution, current research, and future directions in ESP• Features newly-commissioned contributions from a global team of leading scholars• Explores the history of ESP and current areas of research, including speaking...

CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can...

This ground-breaking text provides a comprehensive guide to the occupational therapy profession in Australia, from the profession’s role in the health care system to the broad scope and nature of its practice.The book is organised into three sections: the Australian context; professional issues and practice issues. Contributions from 80 Australian occupational therapists working in education, research, policy and practice bring together the most relevant and up-to-date information ...

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computati...

This open access book turns the research attention of social policy scholars and long-term care researchers from comparative descriptions of care systems, focusing mostly on expenditures and volumes of long-term care services, to outcomes, and in particular to the question whether older people really receive the support that they need. Without knowledge about which needs and which social groups are currently inadequately covered, it is impossible to guide policy development.The boo...

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.The book is divided into five sections that focus on the most u...