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  • Book
    edited by Jun Ren, James R. Sowers, Yingmei Zhang.
    Summary: Autophagy and Cardiometabolic Diseases: From Moleculer Mechanisms to Translational Medicine covers the science of autophagy in relation to cardiometabolic diseases and the future therapeutic potentials of autophagy regulation in these processes. Processes are not described in isolation, but in concert with other cellular and/or metabolic processes, such as lipogenesis, glucose, energy metabolism and apoptosis. This approach recognizes the multifactorial nature of cardiometabolic diseases, including obesity, diabetes, insulin resistance, hypertension and dyslipidemia. The book provides explanations, while also distinguishing the delicate role for autophagy in pathogenesis and exploring complications for cardiometabolic diseases. By targeting autophagy, it offers new avenues for drug discovery and treatment for cardiometabolic anomalies. It is a perfect resource for cardiology researchers, scientists and medical practitioners.

    Contents:
    Section I. Cell biology of cardiometabolic syndrome and autophagy
    Section II. Autophagy and pathogenesis of cardiometabolic disease
    Section III. Autophagy and complications of cadiometabolic disease
    Section IV. Translational approach of autophagy
    Index.
    Digital Access ScienceDirect 2018
  • Book
    Maureen Caudhill and Charles Butler.
    Summary: For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. Now there is a new entry in this arena - neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks, clearly explaining the underlying concepts of key neural network designs, how they are trained, and why they work. Throughout, the authors present actual applications that illustrate neural networks' utility in the new world. Nielsen 9780262531139 20190121 For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. From Mary Shelley's Frankenstein monster to the computer intelligence of HAL in 2001, scientists have been cast in the role of creator of such devices. Now there is a new entry into this arena, neural networks, and "Naturally Intelligent Systems explores these systems to see how they work and what they can do. Neural networks are not computers in any traditional sense, and they have little in common with earlier approaches to the problem of fabricating intelligent behavior. Instead, they are information processing systems that are physically modeled after the structure of the brain and that are "trained to perform a task rather than programmed like a computer. Neural networks, in fact, provide a tool with problemsolving capabilities - and limitations - strikingly similar to those of animals and people. In particular, they are successful in applications such as speech, vision, robotics, and pattern recognition. "Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks. No particular mathematical background is necessary; it is written for all interested readers. "Naturally Intelligent Systents clearly explains the underlying concepts of key neural network designs, how they are trained, and why they work. It compares their behavior to the natural intelligence found in animals - and people. Throughout, Caudill and Butler bring the field into focus by presenting actual applications that illustrate neural networks' utility in the real world. MaureenCaudill is President of Adaptics, a neural network consulting company in San Diego and author of the popular "Neural Network Primer" articles that appear regularly in "AI Expert. Charles Butler is a Senior Principal Scientist at Physical Sciences in Alexandria, Virginia. He is a specialist in neural network application development. A Bradford Book. Nielsen 9780262031561 20190121
    Digital Access
    Provider
    Version
    MITCogNet
    MITCogNet, c1990
    MIT Press Direct
    MIT Press Direct, c1990
  • Article
    Hinton M.
    Vet Rec. 1977 Oct 22;101(17):351-2.
    Digital Access Access Options