Development and Commercialization of Biopesticides: Costs and Benefits provides a uniquely comprehensive view of the commercial production of biopesticides, from research to application, featuring case studies in various developed and developing countries of the world. The book offers guidance for future strategies to researchers, along with considerations for the industry¿s economic concerns, i.e., costs and benefits compared to conventional pesticides, future perspectives for application strategies, bioavailability and environmental safety, and impacts on intellectual property issues during commercialization. Finally, the book covers why the development of this industry must be strategic, comprehensive and forward-looking in order to be an accepted, safe and sustainable. There is no doubt that biopesticides are now in large-scale use, and a variety of novel techniques have been used to improve or modify existing biopesticides, which will further accelerate their development.
In the recent past, beneficial microorganisms have been sustainably used in agriculture as a safe, economic, and effective alternative to chemical fertilizers or pesticides. These beneficial microbes, including bacteria, actinomycetes, and yeast, were efficiently applied in soil, seeds, fruits, or plants as inoculants, to achieve the optimum agricultural yield. An efficient delivery method or enhanced shelf life of microbial inoculants in the soil or seed is still a matter of concern. The response of local genetic or ecological factors, after microbial applications, are also unknown and less studied. Therefore, Microbial Inoculants: Recent Progress and Applications fulfills the need to explore and learn about an efficient delivery mechanism, selection of microbial strain as inoculants, and related technological advances, for the efficient and productive use of microbial inoculants. Moreover, factors like methods of formulation, interaction between host plant and microbe, impact of inoculation on the metabolomics of plants, the effect of microbial inoculants on soil dynamics, proteomics approach of plant-microbe interaction, as well as the registration and regulation process of bio inoculants for commercial production are described in 16 chapters by the leading academicians and researchers from different parts of the world.
Advances in Parasitology serial highlights new advances in the field with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in Advances in Parasitology serials pdated release includes the latest information on Accomplishment of Malaria Elimination in the People''s Republic of China
Methods in Cancer Stem Cell Biology: Part B, Volume 171 in the Methods in Cell Biology series highlights advances in the field, with this new volume presenting interesting chapters on timely topics, including Orthotopic brain tumor models derived from glioblastoma stem-like cells, RNA sequencing in hematopoietic stem cells, Generation of inducible pluripotent stem cells from human dermal fibroblasts, In vitro preparation of dental pulp stem cell grafts combined with biocompatible scaffolds for tissue engineering, Gene expression knockdown in chronic myeloid leukemia stem cells, Identification and isolation of slow-cycling GSCs, Assessment of CD133, EpCAM, and much more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Cell Biology series Includes the latest information on the topic of Methods in Cancer Stem Cell Biology
Advanced Fiber Access Networks takes a holistic view of broadband access networks-from architecture to network technologies and network economies. The book reviews pain points and challenges that broadband service providers face (such as network construction, fiber cable efficiency, transmission challenges, network scalability, etc.) and how these challenges are tackled by new fiber access transmission technologies, protocols and architecture innovations. Chapters cover fiber-to-the-home (FTTH) applications as well as fiber backhauls in other access networks such as 5G wireless and hybrid-fiber-coax (HFC) networks. In addition, it covers the network economy, challenges in fiber network construction and deployment, and more. Finally, the book examines scaling issues and bottlenecks in an end-to-end broadband network, from Internet backbones to inside customer homes, something rarely covered in books. Provides the latest information on end-to-end broadband access networks, from architecture to network technologies and network economies
A Pharmacology Primer: Techniques for More Effective and Strategic Drug Discovery, Sixth Edition features the latest research surrounding the application of pharmacology in drug discovery in an effort to equip readers with a deeper understanding of complex and rapid changes in this field. Written by well-respected pharmacologist, Terry P. Kenakin, this primer is an indispensable resource for anyone involved in drug discovery. This edition has been reorganized for better flow and clarity and includes material on new technologies for screening (virtual, DNA encoded libraires, fragment-based) and a major section on phenotypic (target agnostic) screening for new leads and determination of drug targets. With full color illustrations as well as new examples throughout, this book remains a top reference for all industry and academic scientists and students directly involved in drug discovery or pharmacologic research. New material includes a discussion of the determination of target engagement, including numerous new ways to demonstrate the physical interaction of molecules with drug targets and new drug candidates such a mRNA, gene therapy, antibodies and information on CRISPR and genomics.
Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning. The various aspects of Machine Learning are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach ¿ putting key concepts together with an in-depth treatise on multi-disciplinary applications of machine learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and machine learning. Statistical Modeling in Machine Learning: Concepts and Applications will help statisticians, machine learning practitioners and programmers solving various tasks such as classification, regression, clustering, forecasting, recommending and more.
Postharvest Management of Fresh Produce: Recent Advances critically addresses the latest issues, challenges, and technological advancements in postharvest management of fresh commodities, especially fruits, nuts, and vegetables. The book covers the intriguing correlation of preharvest treatments, maturity indices and postharvest operations that significantly affect the postharvest quality of fresh produce. Further topics include packaging, logistics and storage technologies, the role of microbial communities, and 'omics' strategies in postharvest disease management. Special attention is given to the latest trends of nanotechnology, internet of things (IoTs), and blockchain technologies in food supply chain management of perishable products. The book is a great resource for young and experienced professionals in academia, industry, and UG/PG students to explore a diversified range of topics in postharvest strategies relevant to food processing, food technologies, agro-processing and quality control.
Preceded by: Health information exchange / edited by Brian E. Dixon. [2016].
Transcriptome Profiling: Progress and Prospects assists readers in assessing and interpreting a large number of genes, up to and including an entire genome. It provides key insights into the latest tools and techniques used in transcriptomics and its relevant topics which can reveal a global snapshot of the complete RNA component of a cell at a given time. This snapshot, in turn, enables the distinction between different cell types, different disease states, and different time points during development. Transcriptome analysis has been a key area of biological inquiry for decades. The next-generation sequencing technologies have revolutionized transcriptomics by providing opportunities for multidimensional examinations of cellular transcriptomes in which high-throughput expression data are obtained at a single-base resolution. Transcriptome analysis has evolved from the detection of single RNA molecules to large-scale gene expression profiling and genome annotation initiatives. Written by a team of global experts, key topics in Transcriptome Profiling include transcriptome characterization, expression analysis of transcripts, transcriptome and gene regulation, transcriptome profiling and human health, medicinal plants transcriptomics, transcriptomics and genetic engineering, transcriptomics in agriculture, and phylotranscriptomics.
Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes. The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.
The excessive use of antibiotics has given rise to an increase in microbial resistance, threatening our ability to treat infectious diseases. The growth in resistance to antimicrobials and antibiotics threatens to reverse almost a century of medical progress. urgent action plans to tackle the crisis of Antimicrobial Resistance (AMR) and multi-resistant bacteria are needed. It is a major research task to find effective ways to reduce the release and degradation of antibiotics and ARBs to the environment. Degradations of Antibiotics and Antibiotic Resistance Bacteria from various sources addresses various issues related the generations and degradations, eliminations of antibiotics and antibiotics resistance bacteria. Degradations of Antibiotics and Antibiotic Resistance Bacteria from various sources contains both practical and theoretical latest and broad aspects of antibiotics and antibiotics resistance bacteria management through the various recent methods. Various factors which are responsible for the efficient degradations are highlighted in the Degradations of Antibiotics and Antibiotic Resistance Bacteria from various sources as separate chapters. Socioeconomic and policies on the ARBs are also discussed.
Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.
Biomedical Defense Principles to Counter DNA Deep Hacking presents readers with a comprehensive look at the emerging threat of DNA hacking. Dr. Rocky Termanini goes in-depth to uncover the erupting technology being developed by a new generation of savvy bio-hackers who have skills and expertise in biomedical engineering and bioinformatics. The book covers the use of tools such as CRISPR for malicious purposes, which has led agencies such as the U.S. Office of the Director of National Intelligence to add gene editing to its annual list of threats posed by "weapons of mass destruction and proliferation." Readers will learn about the methods and possible effects of bio-hacking attacks, and, in turn the best methods of autonomic and cognitive defense strategies to detect, capture, analyze, and neutralize DNA bio-hacking attacks, including the versatile DNA symmetrical AI Cognitive Defense System (ACDS). DNA bio-hackers plan to destroy, distort and contaminate confidential, healthy DNA records and potentially create corrupted genes for erroneous diagnosis of illnesses, disease genesis and even wrong DNA fingerprinting for criminal forensics investigations.
Quinoa: Chemistry and Technology provides an overview of the chemistry, processing, and technology of quinoa grain and its components, covering the development of quinoa grain in different parts of the world for food production, including its structure, molecular and chemical composition, milling properties, processing characteristics, and food products. Increasing demand for plant-based, gluten-free foods that are nutritious, healthy, sustainable, and affordable has caused quinoa cultivation to expand to over 70 countries due to its attractive nutritional and food security properties. This practical resource is designed to support the development of quinoa in different sectors, such as the food industry.
Stability and Controls Analysis for Delay Systems is devoted to stability, controllability and iterative learning control (ILC) to delay systems, including first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from physics, biology, population dynamics, ecology and economics, currently not presented in other books on conventional fields. Delayed exponential matrix function approach is widely used to derive the representation and stability of the solutions and the controllability. ILC design are also established, which can be regarded as a way to find the control function. The broad variety of achieved results with rigorous proofs and many numerical examples make this book unique.
Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy looks at the complex and critical components of energy assets and the importance of inspection and maintenance to ensure their high availability and uninterrupted operation. Presenting the main concepts, state-of-the-art advances and case studies, this book approaches the topic by considering it as an integral part of the overall operation of any wind energy project. Linking the essential NDT subject with its sub disciplines, the book uses computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support analysis of prognostic problems with defined constraints and requirements. This book is the first of its kind and will provide useful insights to industrial engineers and scientists, academics and students in the possibilities that NDT and condition monitoring technologies can offer.
Fundamentals of Smart Grid Systems offers an expansive introduction to the operationalization, integration, and management of smart grids--the distributed, renewable, responsive, and highly efficient power grid on the verge of radically transforming our energy system. The book reviews the design of smart grid systems, their associated technologies, and operations, helping users develop a modern foundational understanding of smart grid systems and many of their advanced implementations, where sophisticated technologies are employed. The work serves as a guidebook and primer for early career researchers, with a rich integration of current science, modern applications, and future implementations.
Advances in Epidemiological Modeling and Control of Viruses covers recent and advanced research works in the field of epidemiological modeling, with special emphasis on new strategies to control the occurrence and reoccurrence of viruses. The models included in this book can be used to study the dynamics of different viruses, searching for control measures, and epidemic models under various effects and environments. This book covers different models and methods of modeling, including data-driven approaches. The authors and editors are experienced researchers, and each chapter has been designed to provide readers with leading-edge information on topics discussed.
"Highlights the importance of designing intelligent testing centers requiring no human intervention during sample collection and testing for Coronavirus as well as other viruses. This book introduces the background, medical requirements, and new research on medical robotics applications, including general diagnostic techniques for COVID-19, development considerations for intelligent testing booths, kinematic and dynamic modeling, design specifications, design optimization, numerical verifications, actuators, and sensors in medical applicatiosn of artificial intelligence and robotics systems with the aim of providing the healthcare sector with a guideline on how the latest technologies can be used to battle pandemics such as COVID-19."--From the publisher.
Blockchain Technology Solutions for the Security of IoT-Based Healthcare Systems explores the various benefits and challenges associated with the integration of blockchain with IoT healthcare systems, focusing on designing cognitive-embedded data technologies to aid better decision-making, processing and analysis of large amounts of data collected through IoT. This book series targets the adaptation of decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures, as well as big data and Internet of Things (IoT) problems can be handled in practice. Current Internet of Things (IoT) based healthcare systems are incapable of sharing data between platforms in an efficient manner and holding them securely at the logical and physical level. To this end, blockchain technology guarantees a fully autonomous and secure ecosystem by exploiting the combined advantages of smart contracts and global consensus. However, incorporating blockchain technology in IoT healthcare systems is not easy. Centralized networks in their current capacity will be incapable to meet the data storage demands of the incoming surge of IoT based healthcare wearables.
Design of Smart Manufacturing Systems covers the fundamentals and applications of smart manufacturing or Industry 4.0 system design, along with interesting case studies. Digitization and Cyber-Physical Systems (CPS) have vastly increased the amount of data available to manufacturing production systems. This book addresses the planning, modeling and experimentation of different decision-making problems as well as the conditions that affect manufacturing. In addition, recent developments in the design of smart manufacturing and its applications are explained, covering the needs of both researchers and practitioners. To fully navigate the challenges and opportunities of smart manufacturing systems, contributions are drawn from operations research, information systems, computer science and industrial engineering as well as manufacturing engineering.
Health Care Today in the United States details the complexities of health care in the United States and provides readers with up-to-date information on the state of health care, its challenges, and how to navigate the system. Sections cover patient populations, diverse cultures, legalities, the opioid epidemic, the impact of COVID-19, health care costs, insurance and the impact of technology on health care. Written for students seeking a health science degree, as well as health care professionals, nurses, medical students, and those in the field of public health, this book provides a comprehensive view of health care in the U.S.
Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare.
Prenumerera på vårt nyhetsbrev för att få fantastiska erbjudanden och inspiration för din nästa läsning.
Genom att registrera dig accepterar du vår personuppgiftspolicy.
