Anti-Aging Drug Discovery on the Basis of Hallmarks of Aging is a comprehensive and timely book on all aspects of anti-aging strategies. The book provides comprehensive, foundational knowledge on the mechanisms of aging and current anti-aging strategies and approaches developed. Aging research has experienced an unprecedented advance over recent years with the discovery that the rate of aging is determined, at least to some extent, mainly by our genetics and modulated by environmental factors. The hallmarks of aging describe the molecular and cellular processes that govern biological aging and their variation in individuals.

Biomarkers for Environmental Biomonitoring: An Integrated Perspective provides a holistic view of the biomonitoring of environmental degradation, accumulated toxicity, and associated human health concerns. Organized into two sections, the book incorporates theoretical and practical aspects of the biomonitoring of environmental pollution and the health surveillance of ecological communities using samples from living organisms which are analyzed for contaminants and toxin levels. In the first half, the book provides a general overview if the different types of biomarkers, their significance as bioindicators for contaminants and detection of toxicity, as well as how they can be utilized in the restoration of degraded ecosystems. The second half of the book discusses molecular biomarkers and how they are used as diagnostic and prognostic tools for pollution monitoring. It reviews analytical tools used to validate the biomarkers in the detection and monitoring of pollution and disease. The book also delves into how novel approaches like genetic ecotoxicology; Big Data, and artificial intelligence calculates the potential consequences of environmental pollution on the ecosystems and on human health.

Advanced Functional Materials and Methods for Photodegradation of Toxic Pollutants addresses the potential role of visible active photocatalytic methods for the removal of various emerging and persistent organic pollutants (POPs.) Describing the classification, sources and potential risks of emerging organics in water bodies and the environment, the book covers the different synthesis methods of visible active structured photocatalysts and structure related properties to their applications in photocatalytic processes for the removal of antibiotics, pharma and heavy metal pollutants. This book provides an invaluable reference to academics, researchers and technicians in chemical engineering, chemistry and environmental science. In addition, the mechanistic insights associated with the interaction of advanced functional materials and water pollutants along with the possible reaction pathway occurring during the visible light induced photocatalytic processes together with toxicity are discussed in detail along with the reutilization of catalysts, supporting the inherent reaction conditions performed with natural conditions.

Bioactive Microbial Metabolites: Scope and Challenges not only focuses on the identification, separation and purification of bioactive metabolites, the book also provides an understanding of the metabolic pathways for bioactive metabolites production that play an important role in modern healthcare as frontline treatments for many diseases. This is a valuable reference for research students, academicians and scientists in environmental microbiology and biotechnology, and for industry personnel related to microbiology/ biotechnology. The science discussed herein plays an important role in expanding the market of antibiotics, food and agriculture but also offers eco-friendly, safer and profitable solutions to respective industries.

Valorization of Wastes for Sustainable Development: Waste to Wealth highlights the various valorization of organic and non-organic waste to offer a way forward to a sustainable world. Categorizing the various types of waste valorization for renewable fuel production and other valorizations utilizing organic and non-organic waste, this book offers the reader a comprehensive view of various waste valorizations together with their potential applications. Split into four sections, the book's chapters cover the general scenarios and challenges of current waste management and the valorization of waste specifically for renewable fuels as the alternative energy source to depleting fossil fuels. Other chapters cover waste valorizations categorized into organic and non-organic waste for various applications and the future prospect of waste valorizations with possible plans and strategies for effective global waste management.

3D Printing in Biotechnology: Current Technologies and Applications explains the basic designs and recent progress in the application of 3D printing within various biotechnology fields. The book is a compilation of the basic fundamentals, designs, current applications, and future considerations related to this emerging technology, and summarizes the promising application of 3D bioprinting. Chapters contain detailed state-of-the-art knowledge to assist in the development and design of 3D printers, with applications in the medical, food, and environmental fields. This book will appeal to researchers and students from different disciplines, including materials science and technology, food, agriculture, and various biomedical fields. The content includes industrial applications and fills the gap between the research conducted in the laboratory and practical applications in related industries.

Cyanobacteria, the ancient photoautotrophs on the Earth have always been regarded as the most important organism to sustain life in the planet. They are among the first pioneering communities on various harsh habitat, hydrarch or xerarch, which finally facilitate the emergence of vast communities including higher plants. Being the progenitor of chloroplast, the cyanobacterial metabolisms has always fascinated microbiologist. Additionally, the ability of these prokaryotes to produce valuable and prolific sources of natural products signified their role in array of industrial sectors. Further, the attempts to engineer the cyanobacterial metabolisms in way to enhance production of these metabolites are gradually increasing. Therefore, in this book, we proposed to accumulate the knowledge of cyanobacterial metabolisms and molecules as an asset for students, researchers, and biotechnologists. Cyanobacteria: Metabolisms to Molecules will cover diversity, fundamental metabolisms, crucial metabolities and their synthesis, and bioinformatics.

The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Metals in Water: Global Sources, Significance, and Treatment covers metal pollution in water, where they come from, their effects, and remediation processes. Sections overview heavy metals pollution, including their global health impacts and remediation measures. Geogenic and anthropogenic input of heavy metals in water are described, along with global case studies, step-by-step methods on remediation techniques, different detection sensors, and assessment practices of toxicity of heavy metals. The book focuses on recent research surrounding heavy metals' contamination in water resources and its impact across the globe. Chapters incorporate both theoretical and practical aspects and serve as baseline information for water resources studies. This book is useful for postgraduate students, teachers and researchers working in areas of water resources and pollution, hydrochemistry, environmental remediation and toxicology who are looking to understand the affects metals have on water, the environment and health, and also those looking for methods for remediation.

Power System Frequency Control: Modeling and Advances evaluates the control schemata, secondary controllers, stability improvement methods, optimization considerations, microgrids, multi-microgrids, and real-time validation required to model and analyze the dynamic behavior of frequency in power systems. Chapters review a range of advanced modeling and analytical considerations for single to multi-area networks using traditional and hybrid sources, including renewable sources, FACT devices and storage. The work also considers broad aspects of upstream and downstream control mechanisms which enable novel solutions in the area of automatic generation control in power system networks. Highly recommended for power system engineers, researchers and practitioners with interests in load frequency control, automatic generation control, linearized models of isolated microgrid, and multi-microgrid, and hybrid LFC scheme, this book is an ideal resource on the topics discussed.

This book brings together contributions from leading researchers who are engaged in the research and development of next generation cognitive abilities in radar engineering. It features recent advances in the theory and applications of advanced Cognitive Radar (CR) tools as well as examines emerging challenges. The chapters include mathematical and computational methods to combat important CR challenges as well as the applications of recent theories and algorithms to various applied CR aspects. The book is intended to be used as a supplementary text for first-level graduate courses on radar theory and systems, radar signal processing, detection and estimation theory, and array signal processing. The book can also be used as a main textbook for upper-level graduate courses such as advanced topics in electromagnetics, advanced topics in radar, rf and communications, and contemporary topics in signal processing and optimization.

Techno-economics and Life Cycle Assessment of Bioreactors: Post-Covid19 Waste Management Approach covers the emerging trends in bioreactor research, including techno-economics and life cycle assessment perspectives, both key considerations in making the anaerobic-digestion process technically feasible, economically viable and environmentally sustainable. The book is divided into three sections, with an introductory chapter on the impact of COVID-19 on existing practices of waste and resource management. Sections cover advances in bioreactor development for enhanced valorization of waste, the techno-economics of the different bioreactor systems, the life cycle assessment of bioreactors, their methodological challenges and future perspectives. Providing a holistic overview of bioreactors and taking into account recent trends in their design, the chapters also highlight the advances needed to manage COVID-19 waste in a sustainable manner. With contributions from leading experts in bioreactor and life cycle assessment, this book will be an invaluable reference source for academics working on anaerobic digesters and energy sustainability, as well as for research and development professionals in the renewable energy industry, and scientists and engineers working on clean and efficient energy generation from wastes.

Intelligent Nanobiosystems in Medicine and Healthcare, Volume One: Fundamentals, Fabrication and Commercialization provides an overview of recent progress in the nanobiosystems arena, helping readers design and develop novel drug delivery systems and devices that take advantage of recent advances in nanomedical technologies. The book explores a wide range of promising approaches for the diagnosis and treatment of diseases using the latest advancement in cutting-edge nanomedical technologies. It highlights established research and technology on intelligent nanobiosystems, their rapidly emerging aspects, and future research directions. Sections cover nanobiosystems, explore nano candidates and fabrication aspects, and delve into the challenges of commercialization.This book will be a useful resource for researchers and postgraduate students in pharmaceutical sciences and biotechnology as well as medical professionals, biologists, chemists, materials scientists, clinical researchers, biochemical and biomedical engineers working both in academia and industry.

Intelligent Nanobiosystems in Medicine and Healthcare, Volume 2: Applications of Intelligent Nanobiosystems provides recent progress in the nanobiosystems arena, helping readers better design and develop novel drug delivery systems and devices that take advantage of recent advances in nanomedical technologies. The book explores a wide range of promising approaches for the diagnosis and treatment of diseases using the latest advancements in cutting-edge nanomedical technologies. This updated volume includes chapters by experts in the field, featuring an exploration of targeted therapy and drug delivery systems, analytical and imaging tools, theranostics, tissue engineering and regenerative medicines, dentistry tools and modern developments. This book will be a useful resource for researchers and postgraduate students in pharmaceutical sciences and biotechnology industries as well as medical professionals, biologists, chemists, materials scientists, clinical researchers, and biochemical and biomedical engineers working both in industry and academia.

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.