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The acclaimed on-the-go wound care guide for the physical therapist --- offering the benefits of both a foundational textbook and a full-color atlas Text and Atlas of Wound Diagnosis and Treatment, Second Edition delivers outstanding visual guidance and clear, step-by-step instruction on caring for patients with wounds. Utilizing more than 700 full-color illustrations and clear, concise text, this unique learning tool provides thorough easy-to-understand coverage of evidence-based concepts of would treatment. Each chapter follows a similar design, with consistent headings, brief bulleted text, and numerous high-quality illustrations. Learning aids include case studies, chapter objectives, assessment guidelines, chapter references, chapter summaries, and new NPTE-style review questions at the end of each chapter. This innovative format allows you to see actual examples via high-quality color photographs and learn foundational concepts through text. The case studies also give real-world relevance to the principles discussed. The book’s 20 chapters are logically divided into four sections: Integumentary Basics which covers fundamental topics such as anatomy and physiology of the integumentary system and acute and chronic wound healing Wound Diagnosis which discusses specific disorders such as vascular wounds, lymphedema, pressure ulcers, diabetes, burns, and more Wound Bed Preparation which details debridement and dressings Biophysical Technologies which includes electrical stimulation, negative pressure, pulsed lavage with suction, hyperbaric oxygen, ultraviolet, and low level laser therapy
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
The historiography of the Cold War has long been dominated by American motivations and concerns, with Southeast Asian perspectives largely confined to the Indochina wars and Indonesia under Sukarno. Southeast Asia’s Cold War corrects this situation by examining the international politics of the region from within rather than without. It provides an up-to-date, coherent narrative of the Cold War as it played out in Southeast Asia against a backdrop of superpower rivalry. When viewed through a Southeast Asian lens, the Cold War can be traced back to the interwar years and antagonisms between indigenous communists and their opponents, the colonial governments and their later successors. Burma, Malaysia, Singapore, Brunei, and the Philippines join Vietnam and Indonesia as key regional players with their own agendas, as evidenced by the formation of SEATO and the Bandung conference. The threat of global Communism orchestrated from Moscow, which had such a powerful hold in the West, passed largely unnoticed in Southeast Asia, where ideology took a back seat to regime preservation. China and its evolving attitude toward the region proved far more compelling: the emergence of the communist government there in 1949 helped further the development of communist networks in the Southeast Asian region. Except in Vietnam, the Soviet Union’s role was peripheral: managing relationships with the United States and China was what preoccupied Southeast Asia’s leaders. The impact of the Sino-Soviet split is visible in the decade-long Cambodian conflict and the Sino-Vietnamese War of 1979. This succinct volume not only demonstrates the complexity of the region, but for the first time provides a narrative that places decolonization and nation-building alongside the usual geopolitical conflicts. It focuses on local actors and marshals a wide range of literature in support of its argument. Most importantly, it tells us how and why the Cold War in Southeast Asia evolved the way it did and offers a deeper understanding of the Southeast Asia we know today.
This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief.
Micrographic reproduction of the 13 volume Oxford English dictionary published in 1933.