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This textbook uses a case-study approach to present the core principles of biochemistry and molecular biology in the context of human disease to students who will be involved in patient care. The 29 clinical cases have been carefully selected to cover key scientific concepts and some common, and other not so common, diseases. While the principal focus is on topics relating to metabolic disease, further subjects such as connective tissue disorders, neurological disorders, auto-inflammatory disorders, infective diseases, and cancer are also addressed. Each chapter provides a specific patient report that includes the natural history, pertinent clinical laboratory data, physical findings, subsequent diagnosis, and therapy. This is followed by a comprehensive discussion of the normal biochemical processes and reactions pertaining to the case, along with the pathophysiological mechanisms of the disease. Graphical diagrams are provided in each chapter for ease of comprehension.
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This book presents articles covering a wide spectrum of topics in geotechnical engineering, including properties of soils, unsaturated soil mechanics, ground improvement, liquefaction and seismic studies, soil-structure interaction and stability analysis of man-made and natural slopes. The contributing authors are renowned researchers in their respective fields, which include soft ground improvement, seismic response of retaining structure using soil-structure Interaction (SSI) principles, and unsaturated soils. Based on keynote addresses and invited talks presented at the Indian Geotechnical Conference 2016, this book will prove a valuable resource for practicing engineers and researchers in the field of geotechnical engineering.
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The Handbook of Graph Algorithms, Volume II : Applications focuses on a wide range of algorithmic applications, including graph theory problems. The book emphasizes new algorithms and approaches that have been triggered by applications. The approaches discussed require minimal exposure to related technologies in order to understand the material. Each chapter is devoted to a single application area, from VLSI circuits to optical networks to program graphs, and features an introduction by a pioneer researcher in that particular field. The book serves as a single-source reference for graph algorithms and their related applications.
A First Course in Probability with an Emphasis on Stochastic ModelingProbability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability t
Parkinson's disease is the second most prevalent neurodegenerative disease and is characterized by the irreversible loss of dopamine neurons. Despite its high prevalence in society and many decades of research, the origin of the pathogenesis and the molecular determinants involved in the disorder has remained elusive. Confounding this issue is the lack of experimental models that completely recapitulate the disease state. The identification of a number of genes thought to play a role in the cell death, and development of both toxin and genetic models to explore the function of the genes both in unaffected and diseased cells are now providing new insights into the molecular basis of the neuro...