Böcker utgivna av Elsevier Science & Technology

Up and Running with AutoCAD 2023: 2D and 3D Drawing, Design and Modeling presents a combination of step-by-step instruction, examples and insightful explanations. The book emphasizes core concepts and practical applications of AutoCAD in engineering, architecture and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written by a long-time AutoCAD professor and instructor with the user in mind.

Dimensions of Uncertainty in Communication Engineering is a comprehensive and self-contained introduction to the problems of nonaleatory uncertainty and the mathematical tools needed to solve them. The book gathers together tools derived from statistics, information theory, moment theory, interval analysis and probability boxes, dependence bounds, nonadditive measures, and Dempster¿Shafer theory. While the book is mainly devoted to communication engineering, the techniques described are also of interest to other application areas, and commonalities to these are often alluded to through a number of references to books and research papers. This is an ideal supplementary book for courses in wireless communications, providing techniques for addressing epistemic uncertainty, as well as an important resource for researchers and industry engineers. Students and researchers in other fields such as statistics, financial mathematics, and transport theory will gain an overview and understanding on these methods relevant to their field.

Biology of Mycobacterial Lipids covers various topics pertaining to the advancements and current research in the field of mycobacterial lipids, and on the significant progress in lipidomics, in recent times. The chapters present comprehensive, yet systematic cutting-edge research, comprising mycobacterial lipid terminologies, classifications, biosynthetic pathways, tools and techniques, and functional burgeoning. This unique reference book has contributions from pioneer researchers, experts, and eminent veterans from around the globe. It covers ground-breaking work that will bridge the gap between understanding biochemical patterns related to virulence, pathogenesis, and resistance and elucidating new targets for drug design, identifying biomarkers for predicting risk, early diagnosis, and therapeutic outcome.

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work.

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.

Expanding Horizon of Cyanobacterial Biology discusses the different aspects of cyanobacteria cyanobacterial application, providing a better understanding of cyanobacterial metabolism. Chapters deal with cyanobacteria applications and explore how to exploit cyanobacterial metabolism for industrial applications. Sections cover cyanobacterial applications for the production of nanoparticles, cyanobacterial diversity, and the characterization of different assemblages such as cyanolichens and cyanobacterial endophytes, along with their ecological, morphological and physiological aspects. In addition, bioactive compounds and their applications are explored. Increasing attention has been paid by scientists across the globe to Cyanobacteria as they are ubiquitous microbes and, undoubtedly, an important organism in terms of carbon as well as nitrogen fixation. However, the research on these organisms is limited in terms of their diversity and distribution across the globe.

Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics compiles information about various computational bioinformatic approaches that can help combat viral infection. The book includes working knowledge of various molecular docking and molecular dynamic simulation approaches that have been exploited for drug repurposing and drug designing purpose. In addition, it sheds light on reverse vaccinomics and immunoinformatic approaches for vaccine designing against SARS-CoV2 infection. This book is an essential resource for researchers, bioinformaticians, computational biologists, computational chemists and pharmaceutical companies who are working on the development of effective and specific therapeutic interventions and point-of-care diagnostic devices using various computational approaches.

Energy Communities explores core potential systemic benefits and costs in engaging consumers into communities, particularly relating to energy transition. The book evaluates the conditions under which energy communities might be regarded as customer-centered, market-driven and welfare-enhancing. The book also reviews the issue of prevalence and sustainability of energy communities and whether these features are likely to change as opportunities for distributed energy grow. Sections cover the identification of welfare considerations for citizens and for society on a local and national level, and from social, economic and ecological perspectives, while also considering different community designs and evolving business models.

Diabetes Digital Health and Telehealth explains, from technologic, economic and sociologic standpoints how digital health and telehealth have come to dominate the management of diabetes. The book also includes information on improved telemedicine tools and platforms for communicating with patients, reviewing medical records, and interpreting data from wearable devices. In addition, evolving wearable sensors such as continuous glucose monitors, closed loop automated insulin delivery systems, cuffless blood pressure monitors, exercise monitors and smart insulin pens are covered.

Omics in Horticulture Crops presents a comprehensive view of germplasm diversity, genetic evolution, genomics, proteomics and transcriptomics of fruit crops (temperate, tropical and subtropical fruits, fruit nuts, berries), vegetables, tuberous crops, ornamental and floricultural crops and medicinal aromatic plants. Information covering phenomics, genetic diversity, phylogenetic studies, genome sequencing, and genome barcoding through the utilization of molecular markers plays an imperative role in the characterization and effective utilization of diverse germplasm are included in the book. This is a valuable reference for researchers and academics seeking to improve cultivar productivity through enhanced genetic diversity while also retaining optimal traits and protecting the growing environment.

Conservation of Marine Birds is the first book to outline and synthesize the myriad of threats faced by one of the most imperiled groups of birds on earth. With more than half of all 346 seabird species worldwide experiencing population declines and 29% of species recognized as globally threatened by the International Union for Conservation of Nature, the timing to determine solutions to threats could not be more urgent. Written by a diverse team of international experts on marine birds, this book explores the environmental and biogeographical factors that influence seabird conservation and provides concrete recommendations for mounting climate change issues. This book will be an important resource for researchers and conservationists, as well as ecologists and students who want to understand seabirds, the threats they are facing, and tactics to help conserve and protect them.

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. The book explains the principles of good programming practice, while also demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineering student, biomedical scientist and medical researcher with little or no computer programming experience, this is an excellent resource for learning the principles and practice of computer programming using MATLAB. The book enables the reader to analyze problems and apply structured design methods to produce elegant, efficient and well-structured program designs, implement a structured program design in MATLAB, write code that makes good use of MATLAB programming features, including control structures, functions and advanced data types, and much more.

Electric power systems resiliency provides the fundamentals to power system resiliency and the associated metrics to improve power system equilibrium through the optimal selection of infrastructure, high penetration of renewable energy resources, cyber-physical systems, and advanced computing techniques.