This issue of Clinics in Laboratory Medicine, Guest Edited by Dr. Anand S. Dighe, will focus on Clinical Decision Support, including tools, strategies, and emerging technologies. This issue is one of four issues selected per year by the series Consulting Editor, Milenko Jovan Tanasijevic. Topics include, but are not limited to, The Laboratory's Role in Clinical Decision Support, Integrating Decision Support into a Utilization Management Program, Decision Support Tools within the Electronic Health Record, Decision Support to Enhance Automated Testing and Laboratory Workflow, Laboratory-based CDS programs, Decision Support in Blood Banking, Decision Support in Molecular Pathology, A Computational Perspective on Decision Support, Emerging Decision Support Techniques, Decision Support and Patient Safety, Decision Support from a Reference laboratory perspective, and Training Aspects of Laboratory Based Decision Support.

Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

This is an authoritative, one-volume, and independent treatment of the history, functioning and nature of the European integration. Written by a selection of leading scholars. It covers the major institutions, policies, and events in the history of integration, whilst also providing a guide to the major theoretical approaches that have been used to study it over time. By bringing together such a distinguished cast covering such a wide array of themes, the Handbook is intended as a one stop shop for all those interested in the European Union and its predecessors. Written in an accessible style, the volume is intended to shape the discipline of EU studies, and to establish itself as the essential point of reference for all those interested in European integration, both in universities and more broadly. It represents a timely guide to an institution that is much discussed but often only imperfectly understood.

AI in Biomedical and Modern Healthcare Informatics provide a deeper understanding of current trends in AI and machine learning within health care diagnosis. Its practical approach in healthcare gives insight into wearable sensors and device modules to help doctors and their patients in enhanced healthcare systems. The book helps readers detect common difficulties and their solutions for early detection and prediction of any disease. In 34 chapters AI in Biomedical and Modern Healthcare Informatics provides beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications. With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare

XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0—characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses—using XAI-based intelligent techniques—the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society.

Antimicrobial Nanosystems: Fabrication and Development provides an in-depth review of nanotechnological advancements in the fields of biotechnology and pharmaceutical industries to counteract bacterial infections and related health issues. Functionalized nanomaterials and their processes are covered, along with the theory and fabrication of antimicrobial nanosystems. The potential applications of antimicrobial nanosystems are also discussed along with their challenges and commercialization. This book discusses the most frequent problems caused by resistant microorganisms and difficult-to-treat bacteria and highlights the impact of recently developed antimicrobial nanosystems. Various methodsto obtain efficient nanomaterials with antimicrobial properties are described, along with their advantages, challenges, and main applications. The design of targeting antimicrobial therapeutics, able to specifically detect pathogenic microorganisms and to act in a very specific manner, is thoroughly investigated.

The significance of cryptocurrencies can be understood clearly with their high market penetration in recent times. The central banks, economists, business professionals, and authorities are examining the prospects, impacts, comfortability, and reliability aspects of cryptocurrencies. Many questions are yet to be answered empirically to cover the significance, considerations, negative impacts, policy applications, and acceptance of cryptocurrencies as marketable instruments. Many governments are concerned about the nature and volatility of cryptocurrencies due to their decentralized form. Emerging Insights on the Relationship Between Cryptocurrencies and Decentralized Economic Models discusses the answers to major queries and concerns regarding cryptocurrencies and the emergence of decentralized economic models. It covers major topics that are highly resourceful for knowledge seekers and is highly useful, containing vital information related to cryptocurrencies. Covering topics such as central bank digital currencies, financial reporting, and public perception, this premier reference source is an essential resource for economists, government officials and agency officials, policymakers, central bank professionals, investors, entrepreneurs, students and educators of higher education, librarians, researchers, and academicians.

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field.

A Thermo-Economic Approach to Energy From Waste provides readers with the tools to analyze the effectiveness of biomass waste conversion into value-added products and how thermochemical conversion methods can be commercialized with minimum environmental impact. The book provides a comprehensive overview of biomass conversion technologies through pyrolysis, including the types of reactors available, reactor mechanisms, and the upgradation of bio-oil. Case studies are provided on waste disposal in selected favelas (slums) of Rio de Janeiro, including data on subnormal clusters and analyses of solid waste in the 37 slums of Catumbi. Step-by-step guidance is provided on how to use a life cycle assessment (LCA) approach to analyze the potential impact of various waste-to-energy conversion technologies, and a brief overview of the common applications of LCA in other geographical locations is presented, including United States, Europe, China, and Brazil. Finally, waste-to-value-added functional catalysts for the transesterification process in biodiesel production are discussed alongside various other novel technologies for biodiesel production, process simulation, and techno-economic analysis of biodiesel production. Bringing together research and real-world case studies from an LCA perspective, the book provides an ideal reference for researchers and practitioners interested in waste-to-energy conversion, LCA, and the sustainable production of bioenergy.

This book comprehensively covers sustainable blended learning approach in each of the STEM (science, technology, engineering and mathematics) disciplines. The book also includes the compilation of detailed concepts of blended learning ranging from definition, need, features, models, advantages and disadvantages and comparisons with traditional face-to-face learning. Sustainable blended learning in K-12 education has an immense role as foundation to learning for students in their early education. Fostering creativity and inculcating problem solving and critical thinking skills are the integral aspect of STEM education, which encourages students to pursue them to for their future careers. This book presents recent practices taken by experts at various levels to promote education in STEM. Furthermore, impact over teacher–student relationships is analyzed. Lastly, sustainable frameworks, strategies and implementation to incorporate students with additional needs are explored.

Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.

System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today's debugging team's point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. Students, research scholars, academicians, scientists and industry practitioners will benefit from the book as it provides better insights into modern related global trends, issues and practices.

Advances in Cancer Biomarkers Research provides a thorough and detailed description of cancer biomarkers for diagnostic, prognostic and therapeutics in several cancer types. The book presents a compendium of topics related to current advanced research, along with fundamental knowledge that will help readers fully comprehend the field of cancer biomarkers. Topics discussed include such the role of genetic mechanisms, epigenetics, DNA and microRNA in different cancers, signaling pathways and exosomes. In addition, the book discusses biomarker research applied to several cancer types, such as head and neck, urological, lung, bone tumors, hematological and neurological malignancies and breast cancers.This will be a valuable resource for cancer researchers, oncologists, graduate students and members of the biomedical field who are interested in the potential of biomarkers in cancer research and treatment.

Climate Change and Crop Stress: Molecules to Ecosystems expounds on the transitional period where science has progressed to 'post-genomics' and the gene editing era, putting field performance of crops to the forefront and challenging the production of practical applicability vs. theoretical possibility. Researchers have concentrated efforts on the effects of environmental stress conditions such as drought, heat, salinity, cold, or pathogen infection which can have a devastating impact on plant growth and yield. Designed to deliver information to combat stress both in isolation and through simultaneous crop stresses, this edited compilation provides a comprehensive view on the challenges and impacts of simultaneous stresses.

Handbook of Nano-biomaterials for Therapeutics and Diagnostic Applications covers in-depth topics on nano-biomaterials and nano drug delivery systems (biosensors and bioimaging) involving polymer nanocomposites, metal nanocomposites, and other carbon family fibers and proteins. The book covers the current application of tiny machines or nanodevices and their use as early detection systems for life threatening diseases, giving detailed literature on the development of nanodevices, their use as diagnostic tools, and their present trend in the industry and market. In addition, their synthesis, potential applications and future of smart nanodevices in diagnosis of diseases and their use as smart clinical devices is covered. Users will find sections on recent advances in interdisciplinary research on the processing, morphology, structure and properties of nanostructured materials and their applications in drug delivery for various diseases such as cancer, tuberculosis, Alzheimer disease, ophthalmic diseases, and more.

The book has two chapters. The first chapter is a modern or contemporary account of stability theory. After a preliminary section on some of the basic techniques of model theory, the focus is on local (formula-by-formula) stability theory, treated a little differently from in the author's Geometric Stability Theory book. There is also a survey of general and geometric stability theory, as well as detailed applications to combinatorics (regularity lemma) using pseudofinite methods.The second chapter is an introduction to 'continuous logic' or 'continuous model theory', where truth values are real numbers, drawing on the main texts and papers, but with an independent point of view. This chapter also includes some historical background, a discussion of hyperimaginaries in classical first order model theory, as well as an introduction to local stability in the continuous framework making use of some functional analysis results from Grothendieck's thesis.These chapters are based on notes, written by students, from a couple of advanced graduate courses in Notre Dame, in Autumn 2018, and Spring 2021.

In the digital era, novel applications and techniques in the realm of computer science are increasing constantly. These innovations have led to new techniques and developments in the field of cybernetics. The Handbook of Research on Applied Cybernetics and Systems Science is an authoritative reference publication for the latest scholarly information on complex concepts of more adaptive and self-regulating systems. Featuring exhaustive coverage on a variety of topics such as infectious disease modeling, clinical imaging, and computational modeling, this publication is an ideal source for researchers and students in the field of computer science seeking emerging trends in computer science and computational mathematics.