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Management of Complications in Oral and Maxillofacial Surgery, 2nd Edition, presents clear and consistent guidance on all aspects of both common and less common, minor and major complications encountered in oral and maxillofacial surgery (OMS) practice. In-depth chapters provide thorough descriptions of each complication and recommend treatment strategies for associated complications of anesthesia, implant surgery, maxillofacial trauma, and more, using easy to read algorithms.  Fully revised and expanded, the Second Edition incorporates the most current evidence and advances in the specialty, including implementation of virtual surgical planning for orthognathic and reconstructive surgery. Nine entirely new chapters address complications in minimally invasive cosmetic surgery, lip cancer, dermatopathology and skin cancer, microneurosurgery for trigeminal nerve injuries, transoral robotic surgery (TORS), sialoendoscopy complications, perioperative navigation for dental implants, head and neck radiotherapy, and ambulatory anesthesia in pediatric and geriatric patients.  Highlights include:  Provides a systematic, easy-to-read approach to complication prevention, recognition, and management Covers most potential complications, ranging from the routine to the complex Features more than 500 high-quality clinical images demonstrating all concepts discussed in the text Includes keywords, tables, learning objectives, and further readings in each chapter Includes treatment algorithms to guide clinical decision-making Edited by prominent oral and maxillofacial surgeons with contributions by leading experts in their respective areas  Management of Complications in Oral and Maxillofacial Surgery, Second Edition is a must-have for all oral and maxillofacial surgeons, residents, and trainees, and a valuable resource for dental students and dental practitioners, for clinical practice, and for examination preparation.

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ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.

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RENEWABLE ENERGY FOR SUSTAINABLE GROWTH ASSESSMENT Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of renewable energy for sustainable growth assessment and provides practical solutions for engineers and scientists. [/b] Renewable energy resources (RERs) are gaining more attention in academia and industry as one of the preferred choices of sustainable energy conversion. Due to global energy demand, environmental impacts, economic needs and social issues, RERs are encouraged and even funded by many governments around the world. Today, researchers are facing numerous challenges as this field emerges and develops, but, at the same time, new opportunities are waiting for RERs utilization in sustainable development all over the globe. Efficient energy conversion of solar, wind, biomass, fuel cells, and other techniques are gaining more popularity and are the future of energy. The present book cross-pollinates recent advances in the study of renewable energy for sustainable growth. Various applications of RERs, modeling and performance analysis, grid integration, soft computing, optimization, artificial intelligence (AI) as well as machine and deep learning aspects of RERs are extensively covered. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library. This outstanding new volume Assesses the current and future need for energy on a global scale and reviews the role of renewable energy Includes multiple chapters on biomass and bioenergy Also includes multiple chapters on solar energy and PVs Also includes chapters on fuel cells, wind power, and many other topics Covers the design and implementation of power electronics for energy systems Outlines best practices and the state of the art for renewable energy with regard to sustainability Audience:[/b] Engineers, scientists, technicians, managers, students, and faculty working in the field of renewable energy, sustainability and power system

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In the field of health, information practices and the organization of knowledge constitute a major challenge today. The practices of the medical profession, or of patients, are evolving under the influence of digital technology. At the same time, the way in which medical knowledge is organized, represented and mediated is also evolving.<br /><br /><i>Information Practices and Knowledge in Health</i> addresses the different aspects of the field of specialized medical and health information; it focuses on the informational practices of professionals in the sector, of patients and, more broadly, of citizens with regards to their health. This book also considers the systems that are used for organizing knowledge in this field.

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