Books published by CRC Press

The book delves into post-genomics advances in potato improvement since the potato genome sequencing in 2011. It includes recent developments in the field of potato genetic resources, genes and SNP markers discovery, and the progress in next-generation breeding applying various omics technologies and modern sequencing tools. It covers cutting-edge technologies in potato - a global perspective, genome sequencing and resequencing of various cultivated and wild species, potato germplasm management and characterization, prebreeding genomics, genome mapping and gene cloning, markers discovery, marker-assisted selection, transgenics, microRNAs, transcriptomics, proteomics, metabolomics, phenomics, next-generation potato breeding technologies including genome editing and genomic selection and bioinformatics applications in the post-genomics era in potato. As genome editing and genomic selection have become emerging tools in crop improvement including potato, several research works have been demonstrated and applied world over. This book concentrates on genomics-aided characterization of germplasm and markers discovery to accelerate potato breeding. Further, various omics technologies strengthen our understanding ondiscovery of new genes/proteins/metabolites and key traits based on high-throughput phenotyping involved in various biotic and abiotic stresses in potato crop. The book is a useful source of information related to genomics-led research and development of this crop. It will serve as a valuable resource for potato researchers working in the area of molecular biology and would be beneficial for college students, PhD scholars, scientists, academicians, farmers and policy makers.

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. Explores the importance of blockchain technology in the Internet of Things security issues. Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications.This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It furtherdiscusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contributed to the formation of innovative artificial intelligence algorithms. Today, the most effective artificial intelligence method is accepted as deep learning. Convolutional neural network (CNN) architectures are deep learning algorithms used for image processing. This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.

This book explores the development of novel marine biosurfactants. The book also covers the utilization of marine surfactants for biological and biomedical, and environmental applications. Marine Surfactants: Preparations and Applications aims to examine every aspect of marine derived surfactants.The first part of the book discusses the isolation of marine surfactants from various organisms include marine bacteria, algae, cyanobacteria and so on. The editors also examine the cultivation of marine microorganisms and the harvesting of other natural biological resources from the sea. The next part of the book discusses the application marine surfactants, including oil spill removal in the sea, bioremediation of polluted water and soil, treatments for breast cancer, restoration of marine environments, nanoparticles synthesis, and development of different kinds of emulsifiers. With contributions from world-renowned experts in the field, this book will be an essential resource in understanding and developing various marine-derived surfactants. This book is intended for researchers and marine biotechnologists as well as medical practitioners working on a vast range of industrial and medical applications using marine materials. It would also be useful for students looking to understand the utilization of marine derived surfactants.

AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.

One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)-evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, investors, healthcare providers, health authorities, and other stakeholders because of the potential of DTx to deliver equitable, massively scalable, personalized and transformative treatments for different unmet medical needs.Digital Therapeutics: Scientific, Statistical, Clinical, and Regulatory Aspects is an unparalleled summary of the current scientific, statistical, developmental, and regulatory aspects of DTx which is poised to become the fastest growing area of the biopharmaceutical and digital medicine product development. This edited volume intends to provide a systematic exposition to digital therapeutics through 19 peer-reviewed chapters written by subject matter experts in this emerging field.This edited volume is an invaluable resource for business leaders and researchers working in public health, healthcare, digital health, information technology, and biopharmaceutical industries. It will be also useful for regulatory scientists involved in the review of DTx products, and for faculty and students involved in an interdisciplinary research on digital health and digital medicine.Key Features:Provides the taxonomy of the concepts and a navigation tool for the field of DTx.Covers important strategic aspects of the DTx industry, thereby helping investors, developers, and regulators gain a better appreciation of the potential value of DTx.Expounds on many existing and emerging state-of-the art scientific and technological tools, as well as data privacy, ethical and regulatory considerations for DTx product development.Presents several case studies of successful development of some of the most remarkable DTx products.Provides some perspectives and forward-looking statements on the future of digital medicine.

This book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages such as Python, Java and MATLAB(R). Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications.The book is organized into two parts. The first part provides an introduction to swarming algorithms and hybrid techniques. In the second part, real world applications of swarm intelligence are presented to illustrate how swarm algorithms can be used in applications of optimization and pattern recognition, reviewing the principal methods and methodologies in swarm intelligence.

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities.Features:Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city applicationChallenges and Roles of IoT and Big Data in Smart City applicationsProvides Big Data-IoT intelligent smart systems in a global perspectiveProvides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidaysGives various solutions and ideas for smart traffic development in smart citiesGives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applicationsThis book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

"e;There's plenty of room at the bottom"e; - Richard Feynman's legendary sentence has practically teleported the world into the age of Nano-technology over the last couple of decades. As nano-materials started drawing extensive attention, the use of nano-technology has opened many possibilities for humans. Carbon based nano-materials are an example of such prominent class of materials, which have an enormous potential to fit a wide range of applications, ranging from the energy sector to aircraft and automotive sector to bio-medical sector, etc. The book Novel Applications of Carbon Based Nano-Materials summarizes state-of-the-art studies focusing on various applications of carbon allotropes, considering the energy and environmental benefits and the socio-economic impact of the developed systems, all at the same time.

Criticisms facing the food processing industry include adverse ecological impacts like decline in biodiversity, environmental degradation, water pollution, eutrophication, greenhouse gas emissions, and the loss of agricultural land. Environmental Sustainability in the Food Industry: A Green Perspective delves into the effect of food processing on the environment, human health, nutrition, energy efficiency, nanotechnology in food industry, and the maintenance of ecological sustainability. The book presents eco-friendly approaches to reducing the impacts of food processing on the environment and to promoting sustainable development. The focus of this text is how to implement green practices in the food industry to reduce the negative impacts of food processing on the ecosystem, as well as to improve food quality for better human health and nutrition. The text also explains the food industry's focus on sustainable aspects in resource conservation and reduction of energy consumption. Key Features:Describes the contribution of the food industry sector on human health and nutrition Covers eco-friendly approaches to reducing negative impacts of food processing on the environment Discusses the uses of advanced techniques such as nanotechnology, non-thermal techniques, and more to improve food processingThe book highlights details related to the food industry and environmental issues. It is a great resource for students, researchers, and professionals alike, as well as anyone with an interest in green paths to food quality and nutrition.

This book discusses the concepts and uses of thermal spraying including starting powder, spraying parameters, diagnostics, coating deposition, evolved microstructure and resulting properties complemented with several case studies to associate the learnings with applied concepts. The major parts of the instrumentation, the spraying gun, which is the fundamental aspect of different thermal spraying conditions are also discussed. Solved examples, numerical problems and descriptive questions are included for self-assessment at the end of every chapter. The book:Discusses all aspects from starting powder, spraying parameters, diagnostics and coating deposition;Explores schematics to highlight the conceptual notes;Includes multiple case studies from domains including aerospace, biomedical, manufacturing, wettability and others to highlight the practical application of thermally sprayed coatings;Covers classification of thermal spray techniques; andContains solved example, numerical problems and descriptive questions for self-assessment.This book is aimed at senior undergraduates and graduates in materials science and engineering.

Legal Analytics: The Future of Analytics in Law navigates the crisscrossing of intelligent technology and the legal field in building up a new landscape of transformation. Legal automation navigation is multidimensional, wherein it intends to construct streamline communication, approval, and management of legal tasks. The evolving environment of technology has emphasized the need for better automation in the legal field from time to time, although legal scholars took long to embrace information revolution of the legal field. Describes the historical development of law and automation. Analyzes the challenges and opportunities in law and automation. Studies the current research and development in the convergence of law, artificial intelligence, and legal analytics. Explores the recent emerging trends and technologies that are used by various legal systems globally for crime prediction and prevention. Examines the applicability of legal analytics in forensic investigation. Investigates the impact of legal analytics tools and techniques in judicial decision making. Analyzes deep learning techniques and their scope in accelerating legal analytics in developed and developing countries. Provides an in-depth analysis of implementation, challenges, and issues in society related to legal analytics.This book is primarily aimed at graduates and postgraduates in law and technology, computer science, and information technology. Legal practitioners and academicians will also find this book helpful.a a a a a

This book covers the whole range of gas sensing aspects starting from basics, synthesis, processing, characterization, and application developments. All sub-topics within the domain of gas sensors such as active materials, novel nanomaterials, working mechanisms, fabrication techniques, computational approach, and development of microsensors, and latest advancements such as the Internet of Things (IoT) in gas sensors, and nanogenerators, are explained as well. Related manufacturing sections and proposed direction of future research are also reviewed.Features:Covers detailed state-of-the-art specific chemiresistive sensing materials.Presents novel nanomaterial platforms and concepts for resistive gas sensing.Reviews pertinent aspects of smart sensors and IoT sensing.Explains nanotechnology-enabled experimental findings, and future directions of smart gas sensing technology.Explores implication of latest advancements such as IoT in gas sensors, and nanogenerators.This book is aimed at academic researchers and professionals in sensors and actuators, nanotechnology, and materials science.

Antimicrobial resistance has existed in nature long before the discovery of antibiotics. The mechanisms of resistance are prevalent among the bacterial population. Over a period of time and facilitated by indiscriminate usage of antibiotics, these mechanisms are transferred from one type of bacteria to another, including the pathogenic ones. In addition, the rate of discovery of novel antimicrobials is much slower than the rate of evolution of antimicrobial resistance. Therefore, there is a need for alternative strategies to control antimicrobial resistance to save lives. In this book, the novel strategies to combat antimicrobial resistance are described, emphasizing collaborative measures of control. We describe the concerted efforts undertaken by global communities to combat antimicrobial resistance in detail. The most efficient strategy could be a behavioral change towards indiscriminate consumption, usage, and prescription of antibiotics.

Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

This book encapsulates and highlights the most recent innovations, breakthroughs, and comparisons of advanced sustainable manufacturing and material processing techniques for high-performance materials applications with a focus on sustainability and using conventional available methods.Sustainable Advanced Manufacturing and Materials Processing: Methods and Technologies addresses the various sustainable manufacturing and materials processing techniques for advanced materials. It discusses advancements in conventional and non-conventional techniques used in casting, joining, drilling, surface engineering, sintering, and composite manufacturing. The book focuses on a wide range of manufacturing techniques and materials processing technologies along with their benefits, limitations, and sustainability quotient. The conventional and advanced processes are compared in parallel to understand the need for advanced methods in manufacturing technology.This book is helpful to academic scholars and commercial manufacturers in giving them a first-hand source of information on sustainable manufacturing and material processing technology.

Solid and liquid wastes generated as a result of various agricultural, municipal, industrial and several other processes have become a global concern. This book provides detailed information on eco-friendly approaches and low-cost strategies for solid and liquid waste management. It emphasizes how these wastes can be utilized as alternatives to expensive raw materials thus encouraging sustainable development. This book will be useful to all those who have a keen interest in waste management processes.

This book introduces both conceptual and procedural aspects of cutting-edge data science methods, such as dynamic data visualization, artificial neural networks, ensemble methods, and text mining. There are at least two unique elements that can set the book apart from its rivals.First, most students in social sciences, engineering, and business took at least one class in introductory statistics before learning data science. However, usually these courses do not discuss the similarities and differences between traditional statistics and modern data science; as a result learners are disoriented by this seemingly drastic paradigm shift. In reaction, some traditionalists reject data science altogether while some beginning data analysts employ data mining tools as a "e;black box"e;, without a comprehensive view of the foundational differences between traditional and modern methods (e.g., dichotomous thinking vs. pattern recognition, confirmation vs. exploration, single method vs. triangulation, single sample vs. cross-validation etc.). This book delineates the transition between classical methods and data science (e.g. from p value to Log Worth, from resampling to ensemble methods, from content analysis to text mining etc.). Second, this book aims to widen the learner's horizon by covering a plethora of software tools. When a technician has a hammer, every problem seems to be a nail. By the same token, many textbooks focus on a single software package only, and consequently the learner tends to fit the problem with the tool, but not the other way around. To rectify the situation, a competent analyst should be equipped with a tool set, rather than a single tool. For example, when the analyst works with crucial data in a highly regulated industry, such as pharmaceutical and banking, commercial software modules (e.g., SAS) are indispensable. For a mid-size and small company, open-source packages such as Python would come in handy. If the research goal is to create an executive summary quickly, the logical choice is rapid model comparison. If the analyst would like to explore the data by asking what-if questions, then dynamic graphing in JMP Pro is a better option. This book uses concrete examples to explain the pros and cons of various software applications.

Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question "e;can computers formulate and verify scientific hypotheses?"e;. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as well as observational calculi dealing with observational statements concerning finite results of observation. Both calculi are related through statistical hypotheses tests. A GUHA method is a tool of the logic of discovery. It uses a one-to-one relation between theoretical and observational statements to get all interesting theoretical statements. A GUHA procedure generates all interesting observational statements and verifies them in a given observational data. Output of the procedure consists of all observational statements true in the given data. Several GUHA procedures dealing with association rules, couples of association rules, action rules, histograms, couples of histograms, and patterns based on general contingency tables are involved in the LISp-Miner system developed at the Prague University of Economics and Business. Various results about observational calculi were achieved and applied together with the LISp-Miner system.The book covers a brief overview of logic of discovery. Many examples of applications of the GUHA procedures to solve real problems relevant to data mining and business intelligence are presented. An overview of recent research results relevant to dealing with domain knowledge in data mining and its automation is provided. Firsthand experiences with implementation of the GUHA method in the Python language are presented.

The primary goal of this book is to address the issues faced by teachers in the adoption of digital tools into their teaching and their students learning. This book also addresses the issues confronting educators in the integration of digital technologies into their teaching and their students' learning. Such issues include a skepticism of the added value of technology to educational learning outcomes, the perception of the requirement to keep up with the fast pace of technological innovation, a lack of knowledge of affordable educational digital tools and a lack of understanding of pedagogical strategies to embrace digital technologies in their teaching. This booka presents theoretical perspectives of learning and teaching today's digital students with technology and proposesa a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies in a systematic, coherent and comfortable manner so that technology integration becomes an almost effortless pedagogy in their day-to-day teaching.Some of the objectives are given below:Shares valuable insights into the influence of technology on teaching and learning in higher educationProvides deeper insights on higher education and sustainability interacta Studies innovations from various perspectivesInvestigates how the educators and students apply the unique innovative and emotional dimensions in modern age of learningProvides a timely overview of changes in education reforms and policy research globallyEvaluates the problematic relationship between globalization, the state, and education reforms.a

This benchmark publication assembles information on the current and anticipated effects of climate change on animal health. It empowers educators, managers, practitioners, and researchers by providing evidence, experience, and opinions on what we need to do to prepare for, and cope with, the largest threat ever to have faced animals on this planet. With expert contributors from across the globe, the text equips the reader with information and means to develop sustainable adaptation or mitigation actions. After introducing animal health in a climate change context, chapters look at specific animal health impacts arising from climate change. The book concludes with suggestions on teachable and actionable ideas that could be used to mobilize concepts provided into education or advocacy. This book was written amid the COVID-19 pandemic and in the face of ever-increasing reports of on-the-ground, real-life climate impacts. Large scale wildfire and ocean heat waves killed unprecedented numbers of animals, while droughts in some areas and floods in others displaced thousands of livestock and made food scarce for even more. Climate change is real, and it is here. How we respond will have profound implications for people, biodiversity, welfare, conservation, societies, economies, and ecosystems. Today's veterinary educators are awakening to the need to adapt and train a new generation of animal health professionals who can understand and plan for climate change, and this book is an essential resource.

From everyday applications to the rise of automation, devices have become ubiquitous. Specific materials are employed in specific devices because of their particular properties, including electrical, thermal, magnetic, mechanical, ferroelectric, and piezoelectric. Materials for Devices discusses materials selection for optimal application and highlights current materials developments in gas sensors, optical devices, mechanoelectrical devices, and medical and biological devices.Explains how to select the right material for the right deviceIncludes 2D materials, thin films, smart piezoelectric films, and morePresents details on organic solar cellsDescribes thin films in sensors, actuators, and LEDsCovers thin films and elastic polymers in biomedical devicesDiscusses growth and characterization of intrinsic magnetic topological insulatorsThis work is aimed at researchers, technologists, and advanced students in materials and electrical engineering and related fields who are interested in developing sensors or devices.

Fruits and vegetables rapidly spoil due to growth of microorganisms, which further render them unsafe for human consumption. The traditional methods of food preservation, which involves drying, canning, salting, curing, and chemical preservation, can significantly affect food quality by diminishing nutrients during heat processing. This can alter the texture of the products, leave chemical residues in the final processed products, which in turn has greater impact over consumers' safety and health concerns. To combat this problem, various current non-thermal food processing techniques can be employed in fruit and vegetable processing industries to enhance consumer satisfaction for delivering wholesome food products to the market, thus increasing demand.Non-Thermal Processing Technologies for the Fruit and Vegetable Industry introduces the various non-thermal food processing techniques especially employed for fruits and vegetables processing industries; it deals with the effect of several non-thermal processing techniques on quality aspects of processed fruits and vegetable products and keeping quality and consumer acceptability. Key Features:Describes the high-pressure processing techniques employed for processing fruit and vegetable based beveragesDiscusses the safety aspects of using various innovative non-thermal based technologies for the fruits and vegetables processing industries.Explains ozone application, cold plasma, ultrasound and UV irradiation for fruits and vegetables with their advantages, disadvantages, process operations, mechanism for microbes in activation etc.Presents the commercially viable and economically feasible non-thermal processing technologies for fruit and vegetable industry.This book addresses professors, scientists, food engineers, research scholars, students and industrial personnel for stability enhancement of fruit- and vegetable-based food products by using novel non-thermal food processing techniques. Readers will come to know the current and emerging trends in use of non-thermal processing techniques for its application in several fruit- and vegetable-based food processing industries.

Because of its high Chemical Oxygen Demand (COD) and sheer volume, waste from food processing has significant potential to pollute land, water, and air. Both environmentally and economically, it is important to properly treat food processing wastes including the recovery of valuable products. a Food Processing Waste and Utilization: Tackling Pollution and Enhancing Product Recovery discusses possible solutions to tackle food waste generation and its further utilization. It addresses process engineering economics, microbiology of waste recycling, biochemical and nutritional aspects of food waste processing. The book includes detailed guidance and case studies about utilization/valorization of food waste.a Key FeaturesCovers modern as well as conventional methods of food industry waste utilization Discusses possible solutions to tackle food waste generation and its further utilizationAddresses socioeconomic considerations, environmental concerns and discusses regulations related to food processing wastea Authors of this book are well-recognized researchers in their specific fields who have made important contributions to the knowledge of utilization of different food industry wastes at different levels. This book covers a wide range of breakthroughs in waste management, and is of value for students, research scholars, postdoctoral fellows and faculties pursuing careers in fields such as Bioprocess Technology, Food Technology, Food Science and Technology, Food Biotechnology, and Fermentation and Bioengineering.

This book acts as a primer for radiographers upon performing computed tomography (CT) examinations. The focus resides in radiation physics, radiobiology, anatomy, imaging protocols and image evaluation. It seeks to provide readers insight into the practical and innovative approaches within CT, backed up with key literature and examples in practice. Recent innovations and the importance of new technology to acquire enhanced quality remain a focal point. These are essential in understanding the importance of dose optimization, patient anatomy and common pathology observed. Patient care will remain central in this book, supported with a dedicated chapter discussing effective communication, patient education, informed consent, coupled with the assessment of laboratory results and vital signs. The editors draw from recent publications and clinical expertise, supported with the growing trend of technological advances utilized within the CT environment. Critically, this volume focuses on the role of CT for an array of audiences but, more specifically, undergraduate and postgraduate radiographers worldwide.

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds * Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models * Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state's transition functions * Assists readers to become familiar with many soft numerical methods to simulate the solution function's behaviorThis book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems.Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia.Soheil Salahshour is an associate professor at Bahcesehir University.

This book begins with an introduction of nanobiotechnology, followed by biosyntheses of AgNPs, development of silver/chitosan (Ag/CS) polymer nanocomposites, synthesis of silver/chitosan-g-poly acrylamide (Ag/CS-g-PAAm) nanocomposite hydrogel and silver/chitosan/poly vinyl chloride (Ag/CS/PVC) blend. Finally, it presents novel bioengineering of polyfunctional metallic nanostructures other than Ag, emphasizing biomass utilization and value-added conversion over an extended span, including life cycle assessment of the synthesized nanostructures.Features:Includes prospective cost effective, eco-friendly, and safe nanomaterials, synthesized through facile pathsCovers the synergistic effect of phytochemicals and nano-Ag antimicrobial agents from an antiviral perspectiveIncludes surface coating systems and super absorbent materials for biomedical purposesExamines nanobiotechnological applications for generating nanoalloys with synchronized nanostructural arrangement of alkaline earth metals and nanoscale dots of transition metalsExplores the life cycle assessment of synthesized nanomaterialsThis book aims at researchers and graduate students in biomaterials, chemical engineering, green chemistry, nanomaterials, and biotechnology.

Driven by continuing pursuits in device miniaturization and performance improvement, emergent micro- and nanomaterials hold the keys to enabling next-generation technologies in optical, infrared, and terahertz applications, owing to their unique properties and strong responses in these frequency bands. Development of these fascinating materials has triggered a number of opportunities in the applied sciences, and some have even made their impact in the market. Emergent Micro- and Nanomaterials for Optical, Infrared, and Terahertz Applications reviews state-of-the-art developments in various emergent materials and their implementation in applications such as sensors, waveplates, communications, and light sources, among others. The book discusses the similarities, advantages, and limitations and offers a comparative of each material. This volume:Covers all emergent materials (natural and artificial) that are promising for optical, infrared, and terahertz applicationsComparatively analyzes these materials, elucidating their unique advantages, limitations, and application scopesProvides an up-to-date record on achievements and progress in cutting-edge optical, infrared, and terahertz applicationsOffers a comprehensive overview to connect multidisciplinary fields, such as materials, physics, and optics, to serve as a basis for future progressThis book is a valuable reference for engineers, researchers, and students in the areas of materials and optics, as well as physics, and will benefit both junior- and senior-level researchers.

This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.