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Source Reduction and Waste Minimization is the second volume in the series Advanced Zero Waste Tools: Present and Emerging Waste Management Practices. It addresses processes and practices for waste minimization to support efforts to promote a more sustainable society and provide readers with a proper understanding of the major mechanisms followed for waste minimization across fields. Despite being one of the major challenges mankind is facing to establish a sustainable society, waste minimization techniques are not broadly adopted and an organized collection of these techniques with corresponding evidence of results is not available currently. This book covers numerous mechanisms supported by scientific evidence and case studies, as well as in-depth flowcharts and process diagrams to allow for readers to adopt these processes. Summarizing the present and emerging zero waste tools on the scale of both experimental and theoretical models, Advanced Zero Waste Tools is the first step toward understanding the state-of-the-art practices in making the zero-waste goal a reality. In addition to environmental and engineering principles, it also covers economic, toxicologic, and regulatory issues, making it an important resource for researchers, engineers, and policymakers working toward environmental sustainability. Uses fundamental, interdisciplinary, and state-of-the-art coverage of zero waste research to provide an integrated approach to tools, methodology, and indicators for waste minimization Covers current challenges, design and manufacturing technology, and sustainability applications Includes up-to-date references and web resources at the end of each chapter, as well as a webpage dedicated to providing supplementary information
According to the World Health Organization, schizophrenia affects more than 21 million people worldwide, causing distortions in thinking, perception, emotions, language, sense of self, behavior, and hallucinations. Cognitive and Behavioral Dysfunction in Schizophrenia provides an overview of topics and theories related to cognitive dysfunction in schizophrenia. This book discusses what schizophrenia is and its relationship with the cognitive domains including, but not limited to, learning, working memory, attention, and both deductive and inductive reasoning. This book also reviews theories as to why some individuals develop schizophrenia following cannabis and amphetamine abuse and how these relate to additional cognitive problems. The book further discusses recent topics related to religious delusions in psychotic patients, impact of sleep on psychosis, how urban life increases the likelihood of developing schizophrenia, as well as sexual dysfunction in schizophrenia patients. Unlike other books, Cognitive and Behavioral Dysfunction in Schizophrenia covers many cognitive domains related to the occurrence and development of positive and negative symptoms of schizophrenia. Advanced students and researchers in cognitive and behavioral neuroscience, psychology, psychiatry, and psychotherapy will find it useful for a well-rounded understanding of the subject. Covers neural and behavioral studies addressing the symptomology of schizophrenia Discusses recent studies of the relationship between cognition and schizophrenia symptoms Reviews the development of schizophrenia due to genetic and environmental factors
Silicon-Based Hybrid Nanoparticles: Fundamentals, Properties, and Applications focuses on the fundamental principles and promising applications of silicon-based hybrid nanoparticles in nanoelectronics, energy storage/conversion, catalysis, sensors, biomedicine, environment and imaging. This book is an important reference source for materials scientists and engineers who are seeking to understand more about the major properties and applications of silicon-based hybrid nanoparticles. As the hybridization of silicon nanoparticles with other semiconductors or metal oxides nanoparticles may exhibit superior features, when compared to lone, individual nanoparticles, this book provides the latest insights. In addition, the silicon/iron oxide hybrid nanoparticles also possess excellent fluorescence, super-paramagnetism, and biocompatibility that can be effectively used for the diagnostic imaging system in vivo. Similarly, gold-silicon nanohybrids could be used as highly efficient near-infrared hyperthermia agents for cancer cell destruction. Outlines the major thermal, electrical, optical, magnetic and toxic properties of silicon-based hybrid nanoparticles Describes major applications in energy, environmental science and catalysis Assesses the major challenges to manufacturing silicon-based nanostructured materials on an industrial scale
Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts.
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