Diabetes: Epidemiology, Pathophysiology and Clinical Management aims to be the one-stop diabetes book for researchers, scientists and clinicians. It details the epidemiology, causes, molecular mechanisms, molecular markers, available drugs, experimental drugs, treatment modalities, and dietary and lifestyle approaches related to diabetes. It focuses on various molecular aspects of diabetes, and its related co-morbidities. Apart from the drug-based treatment approach based on international guidelines, this book also describes various surgical treatments available for cases of uncontrolled symptomatic diabetes. It also lays emphasis on the future possibilities of different approaches for diabetes management. Key Features Includes treatment guidelines and approaches to diabetes provided by major global diabetes associations Provides a thorough and comprehensive assimilation of detailed information and updates in the field of diabetes, helpful for researchers, scientists and clinicians Contains a chapter on anti-diabetic drugs, that covers both the commercially approved drugs as well as those that are in various phases of experimental, pre-clinical, and clinical trials

Diabetes: Epidemiology, Pathophysiology and Clinical Management aims to be the one-stop diabetes book for researchers, scientists and clinicians. It details the epidemiology, causes, molecular mechanisms, molecular markers, available drugs, experimental drugs, treatment modalities, and dietary and lifestyle approaches related to diabetes. It focuses on various molecular aspects of diabetes, and its related co-morbidities. Apart from the drug-based treatment approach based on international guidelines, this book also describes various surgical treatments available for cases of uncontrolled symptomatic diabetes. It also lays emphasis on the future possibilities of different approaches for diabetes management. Key Features Includes treatment guidelines and approaches to diabetes provided by major global diabetes associations Provides a thorough and comprehensive assimilation of detailed information and updates in the field of diabetes, helpful for researchers, scientists and clinicians Contains a chapter on anti-diabetic drugs, that covers both the commercially approved drugs as well as those that are in various phases of experimental, pre-clinical, and clinical trials

Sustainable development approaches cannot be met unless waste management is addressed as a priority. Waste Recovery and Management: An Approach Toward Sustainable Development Goals presents a comprehensive examination of environmental pollution and health hazards caused by differing types of waste, its recycling and other e-waste management strategies, and potential political and legal interventions. It also presents the available carbon-recycling methods and investigates how these might be applied to reinforce waste management in both industrialized countries as well as developing and emerging economies. Each chapter includes valuable data and case studies that serve as practical guidance for academicians, researchers, and stakeholders for quantifying the impacts of waste, and for planning integrated solid waste collection and treatment systems, thereby working toward sustainability at a global level. Features: Covers both traditional and new technologies for identifying and categorizing the sources and nature of various types of waste. Provides methods for the safe disposal of municipal solid wastes, plastic waste, bio-medical wastes, hazardous wastes, and e-wastes. Explains practical measures to cover the broad spectrum of everyday applications of waste management for environmental sustainability. Contains a focused discussion of the current scenario and future research directions for different types of waste in each chapter.

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.