This book examines the ways in which knowledge that is inordinate, excessive, and overwhelming comes to mark everyday life in low-income, poor neighborhoods in Delhi with crumbling infrastructures and pervasive violence. Based on long-term ethnography in these spaces, this book provides a detailed analysis of the institutions of the state, particularly of policing and law in India. It argues that catastrophic events at the national level and the techniques of governance through which they are handled secrete forms of knowing that get embedded into the nooks and crannies of everyday life, eroding trust, sowing suspicions, and leading to an exhaustion of capacity for care. Yet the paths to survival honed within these spaces generate critique that compels us to ask how punishment and torture become routinized in democracies. Following the paths of those who struggle with these questions in these neighborhoods, the book finds that deep philosophical questions, such as the inhuman as a possibility of the human rather than its boundary, arise in the weaves of these lives and are experienced as a dimension of the social. This book will be of great interest to students and scholars in anthropology and throughout the social sciences and humanities.
HERBICIDES AND PLANT PHYSIOLOGY Discover the latest developments in herbicide and weed biology In the newly revised Third Edition of Herbicides and Plant Physiology, distinguished researcher Professor Dr. Andrew H. Cobb delivers an insightful and comprehensive examination of the interaction between herbicides and plant physiology. The book discusses many of the advances in plant physiology, utilizing data from the Arabidopsis genome, and gene editing techniques that have occurred in the last dozen years. This latest edition includes a variety of new and recent references addressing the latest developments in plant research. In addition to a complete introduction to weed biology, the book discusses the modern plant protection industry and the processes by which herbicides are discovered and developed. Readers will find discussions of new targets for the future development of new herbicides, as well as the mechanisms by which modern herbicides interact with plants and achieve their weed control objectives. The book also offers: Thorough introductions to weed biology, the modern plant protection products industry, and how herbicides are discovered and developed Comprehensive explorations of how herbicides gain entry into the plant and move to their sites of action, as well as the basis of herbicide selectivity Practical discussions of how herbicides interact with the major physiological processes in plants and accomplish weed control, including the inhibition of photosynthesis, pigment biosynthesis, and more Reviews recent developments following the use of genetically modified-herbicide resistant crops Perfect for plant biologists and agricultural scientists, this latest edition of Herbicides and Plant Physiology is an indispensable resource for anyone seeking a comprehensive and robust treatment of the latest advances in plant physiology and herbicide action.
Helps everyone on the dental team work in a more comfortable and less painful way Dental health providers commonly struggle with chronic back pain, carpal tunnel syndrome, muscle tension, strained eyes, and other work-related musculoskeletal problems. Ergonomics in the Dental Office provides clear guidance on alleviating or eliminating the pain and discomfort caused by strains put on the body in daily practice. This easy-to-read book explains the principles of ergonomics, identifies specific causes of musculoskeletal problems, and presents simple—yet effective—techniques to address the physical stresses that might be occurring in the dental office. Concise, highly visual chapters demonstrate correct postures, clock positions, instrument transfer, head and neck placement, instrumentation techniques, office design, and more. The author emphasizes the importance of daily exercises, rest breaks, and disciplines that relieve both physical and emotional stress such as yoga and Tai Chi. Topics include occupational health issues and research, treating disabled patients, developing ergonomic awareness, seat positioning for tall and short operators, integrated intervention planning, and signs and symptoms of musculoskeletal disorders. Presents ways to improve body positioning and instrumentation techniques, including basic ergonomic principles of proper four-handed dentistry Discusses exercises to reduce stress and reduce muscle fatigue, such as Pilates, free weights, and aquatic activities Covers all key aspects of ideal dental office ergonomics, including furniture, equipment, office layout and design, and practice assessment Designed to address a problem all dental professionals face, Ergonomics in the Dental Office is an invaluable book for dentists, dental hygienists, dental assistants, and dental students and trainees.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.