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This book is intended for those who seek to improve suboptimal health, practice preventive healthcare, and pursue personalized medicine using cGMP herbal products. Suboptimal health refers to conditions such as being overweight or experiencing fatigue, which may precede or underlie a disease but are otherwise normal. In East Asia, cGMP herbal products have long been used as medicines to address patterns of pathology, including suboptimal health, in addition to the vitamin and mineral supplements recommended by modern Western medicine. In the United States, the same cGMP herbal products are available and labeled as dietary supplements. By using herbal products to treat suboptimal health conditions, we can prevent the development of diseases and save significant costs to individuals and society.

POWER GRID RESILIENCE AGAINST NATURAL DISASTERS How to protect our power grids in the face of extreme weather events The field of structural and operational resilience of power systems, particularly against natural disasters, is of obvious importance in light of climate change and the accompanying increase in hurricanes, wildfires, tornados, frigid temperatures, and more. Addressing these vulnerabilities in service is a matter of increasing diligence for the electric power industry, and as such, targeted studies and advanced technologies are being developed to help address these issues generally—whether they be from the threat of cyber-attacks or of natural disasters. Power Grid Resilience against Natural Disasters provides, for the first time, a comprehensive and systematic introduction to resilience-enhancing planning and operation strategies of power grids against extreme events. It addresses, in detail, the three necessary steps to ensure power grid success: the preparedness prior to natural disasters, the response as natural disasters unfold, and the recovery after the event. Crucially, the authors put forward state-of-the-art methods towards improving today's practices in managing these three arenas. Power Grid Resilience against Natural Disasters readers will also find: Data, tables, and illustrations to supplement and clarify the points put forward in each chapter Case studies on realistic power systems and industry standards and practices related to the topics covered Potential to be a supplementary text in advanced level power engineering courses Power Grid Resilience against Natural Disasters will be of interest to specialists and engineers, as well as planners and operators from industry. It can also be a useful resource for senior undergraduate students, postgraduate students, researchers, and research libraries. More, it will appeal to all readers with a strong background in power system analysis, operation and control, optimization methods, the Markov decision process, and probability and statistics.

Dogs eat grass, and so do cats. Every pet owner must have noticed the grass-eating behavior of their pets. Since wild dogs and cats eat grass too, most experts believe it to be an example of evolved traits of dogs and cats to relieve their upset gastro-intestines. Based on the observation, experts go on to suggest pet owners grow in their gardens medicinal herbs, other than botanicals that could be toxic to their pets. The herbal recipes, with doses, introduced in the book are intended for the most prevalent health problems of dogs and cats; the herbs that make up the recipes are: 1) available, as dietary supplements in the U.S., in the market by cGMP-certified manufacturers; and 2) in a dosage form of granules that is easy for pets to ingest. The book therefore not only meets experts'recommendations but also fulfils veterinarians'demand of an herbal pharmacopoeia for the widest conditions of their patients. Unlike other similar titles, the book is data-driven, quantitative, collective, comprehensive and practical: Although the herbs in the book have been used in traditional Chinese herbal medicine, owing to the data-driven approach of the book, no prior knowledge of Chinese or western herbal medicines is required to comprehend the book. The second feature of the book is that every indicated health condition of an herb comes with a score. The higher the score, the more frequently herbal clinicians have prescribed the herb (or herb pair) for the diagnosed condition in humans and thus the more likely that the herb (herb pair) is effective in mitigating the condition. The book is therefore quantitative, in contrast to other books which are qualitative. The third feature of the book is that the mapping from herbs and herb pairs to health conditions results from the collective experiences and expertise of the five thousand herbal clinicians in Taiwan, rather than the experience or expertise of a single doctor as in most other books. Without the deep learning/artificial intelligence techniques employed by the author on millions of (human) health insurance data, the aforementioned features are impossible. The final unique feature of the book is that recipes for the 94 most common conditions in dogs and 81 most common conditions in cats are given in later parts of the book, serving as reinforcing examples after going through the first part. The book is therefore both comprehensive and practical for not only holistic but also conventional veterinary professionals.

Since AlphaGo defeated Ke Jie (who was then ranked 1st among all human players worldwide) May 2017, the art of Go (otherwise known as Weiqi) has entered a new era. Similarly, if we apply artificial intelligence (AI) to herbal medicine, the art of herbal prescription can experience a game change too. The author of this book has done exactly that, and via reverse engineering of the trained AI, the book details how one can compose herbal prescriptions from scratch.As artificial intelligence (AI) technologies outperform humans in such tasks as image/voice recognition and language translation, mastering of concentrated herbal extract granules (CHEG) prescription composition by AI is not a fiction, provided large quantities of high-quality CHEG prescription data are available. Thanks to the 340 million records of modern Western medicine diagnoses and corresponding CHEG prescriptions in the National Health Insurance Reimbursement Database (Taiwan) recorded in the decade between 2004 and 2013, the book is based on the results of applying state-of-the-art deep learning technologies to the CHEG prescription big data.

This book reflects the chronological changes in Chinese cultural values, social relations, economy and politics by critically analyzing the Chinese advertising discourse. The work is based on research into the ideological values portrayed in Chinese household appliance advertisements in the 1980s – 1990s. The analytical framework covers a variety of methods: critical discourse analysis, chronological analysis, visual and verbal analysis, and qualitative and quantitative analysis. The findings suggest that ideological values consciously or unconsciously manifested by the visual and verbal devices in the Chinese advertisements moved in a pattern from simplicity to diversity, from being politically-oriented to being economically and profit-oriented, from conservatism to globalization and westernization, in keeping with the progression of the Chinese economic reform. The findings further indicate that the ideological values in the Chinese household appliance advertisements are embedded in the advertising language and illustrations. Lastly, the work reveals the reality of Chinese politics, economy and society at a time when China experienced the growth of the market economy and evolution of Chinese mainstream ideologies, and demonstrates the impacts of these changes on the ideological meanings in advertisements. This book will help readers discover the more profound meanings behind the superficial content of Chinese advertisements.

Modern Western Medicine (MWM) and Ayurveda/Traditional Chinese Medicine (TCM) can be considered two extreme paradigms to complex systems. The microscopic and reductionist approach of the West prevails in acute and single-gene conditions such as infection and Mendelian disorders. The macroscopic and holistic approach of the East potentially fares well at chronic and complex conditions such as obesity and ageing.The book serves three purposes: 1) to help MWM, Ayurveda and TCM professionals get acquainted with one another; 2) to help identify common grounds for MWM, Ayurveda and TCM, rather than blindly westernizing eastern medicines or vice versa; and 3) to help translate the complementarity of MWM and Ayurveda/TCM toward an integrative multi-component healthcare.To this end, we introduce theories and tenets of the three medicines. We use bioenergetics to reconcile West and East as ATP generation, prana and qi are central to MWM, Ayurveda and TCM. We discuss clinical trials of varying experimental rigors for the assessment of the scientific evidence for treatment effectiveness. We present complementary interventions for chronic disorders and ageing. We hold that a federal unity of therapies consisting of MWM, Ayurveda and TCM better serves the wellbeing of humankind.

Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation. Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.

Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same under

Controlling the level of noise in electrical motors is critical to overall system performance. However, predicting noise of an electrical motor is more difficult and less accurate than for other characteristics such as torque-speed. Recent advances have produced powerful computational methods for noise prediction, and Noise of Polyphase Electric Motors is the first book to collect these advances in a single source. It is also the first to include noise prediction for permanent magnet (PM) synchronous motors.Complete coverage of all aspects of electromagnetic, structural, and vibro-acoustic noise makes this a uniquely comprehensive reference. The authors begin with the basic principles of noise generation and radiation, magnetic field and radial forces, torque pulsations, acoustic calculations, as well as noise and vibration of mechanical and acoustic origin. Moving to applications, the book examines in detail stator system vibration analysis including the use of finite element method (FEM) modal analysis; FEM for radial pressure and structural modeling; boundary element methods (BEM) for acoustic radiation; statistical energy analysis (SEA); instrumentation including technologies, procedures, and standards; and both passive and active methods for control of noise and vibration.Noise of Polyphase Electric Motors gathers the fundamental concepts along with all of the analytical, numerical, and statistical methods into a unified reference. It supplies all of the tools necessary to improve the noise performance of electrical motors at the design stage.