Bøger udgivet af Elsevier Science & Technology

Approx.854 pages

Advances in Anti-inflammatory Therapy explores the cutting-edge in anti-inflammation therapy in clear and concise language, with insights from academia and industry. Sections cover key regulatory pathways that mediate acute and chronic inflammation and disease onset. Further chapters are devoted to advanced anti-inflammatory pharmaceuticals, including chemical moieties, pharmacophores, APIs, natural products, herbal therapies, molecular nanomedicine and advanced drug delivery vectors. Systematically planned chapters and illustrations enable potential readers to gain essential insights on the most recent advancements in the field. Arranged with systematic chapters covering a broad range of inflammatory diseases, discussions on past, current and future therapeutics and advanced anti-inflammatory pharmaceuticals, this book will be useful to a wide range of researchers, especially medicinal chemists, drug design experts, and biological and translational researchers working in the field of inflammation.

Approx.320 pages

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.