Advances in Diabetes Management: A Case Compendium is a collection of cases involving various disorders and complications of diabetes. Divided into 29 chapters, each one features a case study on a particular aspect of diabetes followed by a review of evidence. This book includes cases of both type one and type two diabetes and associated conditions, from polycystic ovarian syndrome to neuropathy and life-threatening foot infections. Chapters on new insulin pumps and bariatric surgery highlight the latest advances in the management of diabetes. Drawing on the experience of expert diabetologists and enhanced by full colour images and illustrations throughout, Advances in Diabetes Management: A Case Compendium is a valuable reference helping clinicians and trainees remain up to date with developments in the field. Key Points Guide to the latest advances in the field of diabetes management Collection of cases with review of evidence Full colour images and illustrations throughout
Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. - Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications - Features an emphasis on the mathematical theory of reliability modeling - Provides many illustrative examples to foster reader understanding
This book brings together two important trends: graph algorithms and high-performance computing. Efficient and scalable execution of graph processing applications in data or network analysis requires innovations at multiple levels: algorithms, associated data structures, their implementation and tuning to a particular hardware. Further, programming languages and the associated compilers play a crucial role when it comes to automating efficient code generation for various architectures. This book discusses the essentials of all these aspects. The book is divided into three parts: programming, languages, and their compilation. The first part examines the manual parallelization of graph algorithms, revealing various parallelization patterns encountered, especially when dealing with graphs. The second part uses these patterns to provide language constructs that allow a graph algorithm to be specified. Programmers can work with these language constructs without worrying about their implementation, which is the focus of the third part. Implementation is handled by a compiler, which can specialize code generation for a backend device. The book also includes suggestive results on different platforms, which illustrate and justify the theory and practice covered. Together, the three parts provide the essential ingredients for creating a high-performance graph application. The book ends with a section on future directions, which offers several pointers to promising topics for future research. This book is intended for new researchers as well as graduate and advanced undergraduate students. Most of the chapters can be read independently by those familiar with the basics of parallel programming and graph algorithms. However, to make the material more accessible, the book includes a brief background on elementary graph algorithms, parallel computing and GPUs. Moreover it presents a case study using Falcon, a domain-specific language for graph algorithms, to illustrate the concepts.
This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.
Our vast Universe is filled with an enormous amount of matter and energy, which are the source of large gravitational potentials affecting all physical phenomena. Because this fact about the size and contents of the Universe was not known when our fundamental theories of dynamics and relativity were completed by the 1920s, the current theories - based as they are in empty space - fail to incorporate cosmic gravity. Though the current theories are consistent with the majority of empirical facts, there are some crucial discrepancies, which demand a drastic shift to a cosmic gravitational paradigm for the theories of relativity and dynamics. The book is a detailed and widely accessible account of this paradigm, called Cosmic Relativity, supported by ample empirical evidence. It is established that all motional relativistic effects are cosmic gravitational effects. The new theory of Cosmic Relativity solves and answers all outstanding questions and puzzles about dynamics and relativity.
The book deals with the application of various measures of information like the entropy, divergence, inaccuracy, etc. in modelling lifetimes of devices or equipment in reliability analysis. This is an emerging area of study and research during the last two decades and is of potential interest in many fields. In this work the classical measures of uncertainty are sufficiently modified to meet the needs of lifetime data analysis. The book provides an exhaustive collection of materials in a single volume to make it a comprehensive source of reference. The first treatise on the subject. It brings together the work that have appeared in journals on different disciplines. It will serve as a text for graduate students and practioners of special studies in information theory, as well as statistics and as a reference book for researchers. The book contains illustrative examples, tables and figures for clarifying the concepts and methodologies, the book is self-contained. It helps students to access information relevant to careers in industry, engineering, applied statistics, etc.
This book is unique and exceptional in dealing with the notion of physical time rigorously, both logically and empirically. The central theme is the intimate relation between physical time and cosmic gravity. It establishes and explains, in an accessible manner, the one crucial physical fact that has been missed in the development of modern physics—that the enormous gravity of the matter and energy in the Universe is the controller and cause of the relativistic time. The material in the book is accurate and free of the ambiguities in the discussion of time and its modifications (dilation), synchronization of clocks, and simultaneity. The contents go beyond the current theories of relativity that fail to incorporate the cosmic gravity in their structure. The discussion of clocks in satellite navigational systems (like the GPS) is the most complete and accurate. The book offers several new insights, and it is the only available treatise on the complete physical truth about time. The contents are addressed to a wide range of readers, from general readers and students to experienced researchers, and will also appeal well to philosophers and historians of physics. This book has the enabling quality to deal with difficult questions about physical time, with unprecedented clarity and without paradoxes.
Diabetes Clinical Case Series – 2 is the second volume in a three-volume series on diabetes. The book provides a selection of cases reflecting the types of diabetes, related conditions and potential complications in different segments of the population. Divided into 20 chapters, the book features a range of topics, including stress-related diabetes, gestational diabetes, diabetes with renal problems, Cushing’s Syndrome and diabetes, Charcot Foot and Ankle, diabetic retinopathy, Werner Syndrome, and much more. Each chapter begins with a real-life case scenario, followed by guidance on its management, combining evidence-based medicine with the authors’ clinical experience, to provide an authoritative guide for endocrinologists. Key Points Second of three volumes in Diabetes Clinical Case Series 20 chapters featuring real cases and guidance on management diabetes in different segments of the population Authoritative guide combining evidence-based medicine and clinical experience Diabetes Clinical Case Series – 1 (9789352500321) published in 2016
Annotation This series provides diabetologists with the most recent developments in the diagnosis and treatment of Type 2 Diabetes Mellitus. New drug classes are covered in depth and each article is followed by a comment from the editors highlighting the key features of the topic.
Incretins are a group of gastrointestinal hormones that cause an increase in the amount of insulin released from cells in the pancreas after eating. Incretin based drugs are used to control blood sugar levels in the management of diabetes. This book is a concise guide to incretin based therapy. Beginning with an introduction to the history and physiology of incretins, the following sections examine the clinical pharmacology of GLP-1 Analogues and DPP-4 Inhibitors, the pleiotrophic effects of incretins and comparative pharmacology. Each section integrates science with practical therapeutic guidance for clinicians involved in the management of diabetes. The final chapter discusses the future of incretin therapies, including non-diabetic usage and combination therapy. Key Features Concise overview of incretin based therapy for the management of diabetes Guides clinicians step by step through the history and pharmacology of various molecules Integrates science with practical therapeutic guidance Includes chapter on the future of incretin therapy
Quality Improvement Through Statistical Methods" brings together some of the latest statistical technology, methods and applications and contains discussions on statistical education, innovation and quality system, along with process improvement case studies.
Advances in Diabetes Management: A Case Compendium is a collection of cases involving various disorders and complications of diabetes. Divided into 29 chapters, each one features a case study on a particular aspect of diabetes followed by a review of evidence. This book includes cases of both type one and type two diabetes and associated conditions, from polycystic ovarian syndrome to neuropathy and life-threatening foot infections. Chapters on new insulin pumps and bariatric surgery highlight the latest advances in the management of diabetes. Drawing on the experience of expert diabetologists and enhanced by full colour images and illustrations throughout, Advances in Diabetes Management: A Case Compendium is a valuable reference helping clinicians and trainees remain up to date with developments in the field. Key Points Guide to the latest advances in the field of diabetes management Collection of cases with review of evidence Full colour images and illustrations throughout
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