Why can salamanders grow new legs, and young children grow new finger tips, but adult humans can't regenerate? What is the electricity that flows through the human body? Is it the same thing that the Chinese call Qi? If so, what does Chinese medicine know, that western medicine ignores? Dan Keown's highly accessible, witty, and original book shows how western medicine validates the theories of Chinese medicine, and how Chinese medicine explains the mysteries of the body that western medicine largely ignores. He explains the generative force of embryology, how the hearts of two people in love (or in scientific terms `quantum entanglement') truly beat as one, how a cheating heart is also an ill heart (which is why men are twice as likely to die of a sudden heart attack with their mistress than with their wife), how neural crest cells determine our lifespan, and why Proust's madeleines evoked the memories they did. The book shows how the theories of western and Chinese medicine support each other, and how the integrated theory enlarges our understanding of how bodies work on every level. Full of good stories and surprising details, Dan Keown's book is essential reading for anyone who has ever wanted to know how the body really works.
The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.
In the more than 15 years since the second edition of Fundamentals of Machining and Machine Tools was published, the industry has seen many changes. Students must keep up with developments in analytical modeling of machining processes, modern cutting tool materials, and how these changes affect the economics of machining. With coverage reflecting s