The knowledge of metal ion speciation is essential for predicting the exact toxicities of metal ion species in the environment. Metal ions can exist in various oxidation states, each of which possesses different physical and chemical properties as well as exhibit varying toxicities. Often, toxicity data is unreliable because it is based on metal ion concentration measurements that fail to identify a dominant species either more or less harmful than the average. Instrumental Methods in Metal Ion Speciation provides analytical techniques and experimental methodologies for determining the concentration of the different physicochemical forms of metal ions in environmental and biological samples, leading to more accurate measurements of actual toxicity. The authors introduce the principles of metal ion speciation and discuss important analytical techniques such as gas and liquid chromatography, capillary electrophoresis, and both electrochemical and radiochemical methods used to determine concentration and composition. They present a range of liquid chromatographic approaches, including capillary electrochromatography and high-performance, ion, ion pair, micellar electrokinetic, size exclusion, chiral, and supercritical fluid chromatographies for all metal ion species. Comprehensive in scope, the text covers the sources, distribution, toxicity, biotransformation, and biodegradation of each metal ions species as well as extraction methods, sample preparation, and experimental optimization techniques that can be useful in designing future experiments. Instrumental Methods in Metal Ion Speciation is a unique and valuable source of reference for scientists, academics, and researchers involved in analytical, biological, pharmaceutical, and environmental chemistries, as well as material industries, geochemistry, agriculture, biotechnology, and occupational safety and regulations.

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

This book provides and assesses the techniques required for the realization of practical wireless-powered backscatter systems for large-scale and intelligent IoT networks. It explores the deployment, reliability, and security aspects of backscatter devices for both indoor and outdoor environments. The book also sheds light on some of the recently evolving technologies such as artificial intelligence/ machine learning, non-orthogonal multiple access (NOMA), and multi-tone carrier techniques and identifies their application in backscatter communications. In addition, it offers a valuable blueprint for future studies in the domains of intelligent reflective surfaces, ambient backscatter communications and massive IoT networks.

This book provides and assesses the techniques required for the realization of practical wireless-powered backscatter systems for large-scale and intelligent IoT networks. It explores the deployment, reliability, and security aspects of backscatter devices for both indoor and outdoor environments. The book also sheds light on some of the recently evolving technologies such as artificial intelligence/ machine learning, non-orthogonal multiple access (NOMA), and multi-tone carrier techniques and identifies their application in backscatter communications. In addition, it offers a valuable blueprint for future studies in the domains of intelligent reflective surfaces, ambient backscatter communications and massive IoT networks.

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem.  The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

This book describes the importance of heat transfer in heat exchangers, and fluids properties play a vital role to increase heat transfer rate translating the size of the equipment and cuts in the capital and running cost in the long term. Nanofluids applications in heat exchangers will help to improve the thermophysical properties of the fluid and therefore heat transfer. And, this book explains the enhancing mechanisms of heat transfer by employing nanofluids in heat exchangers. A critical discussion will enable to estimate the pros and cons of such fluids in different types of heat exchangers. Prevailing working conditions for short- and long-term implementation of various types of nanofluids will be discussed and introduced to the readers. This book helps the researchers, scientist and academicians working in the domain to be able to get a comprehensive knowledge at one place regarding the preparation, properties, measurements, data reduction, characteristics and applications of nanofluids in heat exchangers.

This book covers many hot topics, including theoretical and practical research in many areas such as dynamic analysis, machine learning, supply chain management, operations management, environmental management, uncertainty, and health and hygiene. It showcases advanced management concepts and innovative ideas. The 16th International Conference on Management Science and Engineering Management (2022 ICMSEM) will be held in Ankara, Turkey, during August 3-6, 2022. ICMSEM has always been committed to promoting innovation management science (M-S) and engineering management (EM) academic research and development. The book provides researchers and practitioners in the field of Management Science and Engineering Management (MSEM) with the latest, cutting-edge thinking and research in the field. It will appeal to readers interested in these fields, especially those looking for new ideas and research directions.

This book covers many hot topics, including theoretical and practical research in many areas such as dynamic analysis, machine learning, supply chain management, operations management, environmental management, uncertainty, and health and hygiene. It showcases advanced management concepts and innovative ideas. The 16th International Conference on Management Science and Engineering Management (2022 ICMSEM) will be held in Ankara, Turkey during August 3-6, 2022. ICMSEM has always been committed to promoting innovation management science (M-S) and engineering management (EM) academic research and development. The book provides researchers and practitioners in the field of Management Science and Engineering Management (MSEM) with the latest, cutting-edge thinking and research in the field. It will appeal to readers interested in these fields, especially those looking for new ideas and research directions.

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises' productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.

This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.

Lignocellulose for Future Bioeconomy discusses the conversion and utilization of lignocellulosic biomass. This book focuses on the utilization of lignocelluloses for various products, including biopolymers, bionanomaterials and bioproducts. Recent findings in scientific investigation, engineering, product development, economic and lifecycle analysis are discussed, as are current synthesis technologies and potential applications. The book progresses from a discussion of the potential sources of biomass, to the refinement and processing of materials. A sampling of various sustainability issues faced by industries in their production methods and a look at real world examples of the use of lignocellulose-based materials in the bioeconomy round out the discussion.

Der Einfuhrung von Umweltmanagementsystemen in Forschung und Entwicklung der chemischen Industrie kommt eine Schlusselrolle bei der Etablierung eines produktionsintegrierten Umweltschutzes zu. Gerade dieser Bereich bestimmt das Ausmass aktueller und zukunftiger Umweltauswirkungen der chemischen Industrie massgeblich. Die Autoren zeigen auf, wie hier durch den Aufbau von Umweltmanagementsytemen das Verhaltnis von additivem zu produktionsintegriertem Umweltschutz kontinuierlich verbessert werden kann. Die methodische Unterstutzung der Entscheidungsfindung durch Integration von Umweltschutzkriterien steht dabei im Mittelpunkt. Es werden zahlreiche Methoden und Instrumente vorgestellt, die im Rahmen des Umweltmanagements in den Forschungs- und Entwicklungsablauf integriert werden konnen."

Die Betriebswirtschaftslehre f r Chemiker bietet eine umfassende, gut verst ndliche und interessante Einf hrung in die Betriebswirtschaftslehre, die sich vor allem (aber nicht nur) an Chemiker, Chemieingenieure und andere Naturwissenschaftler wendet. Um die praktische Relevanz der Betriebswirtschaftslehre zu verdeutlichen, umfasst das Buch neben der grundlegenden Darstellung der betriebswirtschaftlichen Zusammenh nge auch eine Reihe chemiespezifischer Unterkapitel, in denen praxisorientiert Themen diskutiert werden, die f r die chemisch-pharmazeutische Industrie in Deutschland von besonderer Bedeutung sind.

The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.