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Academic Press

  • Handbook of Arsenic Toxicology

    • 2nd Edition
    • Swaran Jeet Singh Flora
    • English
    Handbook of Arsenic Toxicology, Second Edition presents the latest findings on arsenic, including its chemistry, sources and effects on the environment and human health. The book discusses both acute and chronic effects, discussing many aspects of arsenic, from physical and chemical properties, exposure, epidemiology, organ toxicity, diagnosis, prevention and treatment. Fully updated and revised, this new edition includes new topics on risk assessment, molecular mechanisms of arsenic, advances in the integrated approach to testing, assessment and development, evaluation and application of high content predictive models, and new alternative methods (NAMS) in the context of Adverse Outcome Pathways (AOPs) to assess toxicology. This comprehensive resource allows readers to effectively assess the risks related to arsenic, providing them with all they need to know on arsenic exposure, toxicity and toxicity prevention.

  • Perspective of DNA Computing in Computer Science

    • 1st Edition
    • Volume 129
    • English
    DNA or Deoxyribonucleic Acid computing is an emerging branch of computing that uses DNA sequence, biochemistry, and hardware for encoding genetic information in computers. Here, information is represented by using the four genetic alphabets or DNA bases, namely A (Adenine), G (Guanine), C (Cytosine), and T (Thymine), instead of the binary representation (1 and 0) used by traditional computers. This is achieved because short DNA molecules of any arbitrary sequence of A, G, C, and T can be synthesized to order. DNA computing is mainly popular for three reasons: (i) speed (ii) minimal storage requirements, and (iii) minimal power requirements. There are many applications of DNA computing in the field of computer science. Nowadays, DNA computing is widely used in cryptography for achieving a strong security technique, so that unauthorized users are unable to retrieve the original data content. In DNA-based encryption, data are encrypted by using DNA bases (A, T, G, and C) instead of 0 and 1. As four DNA bases are used in the encryption process, DNA computing supports more randomness and makes it more complex for attackers or malicious users to hack the data. DNA computing is also used for data storage because a large number of data items can be stored inside the condensed volume. One gram of DNA holds approx DNA bases or approx 700 TB. However, it takes approx 233 hard disks to store the same data on 3 TB hard disks, and the weight of all these hard disks can be approx 151 kilos. In a cloud environment, the Data Owner (DO) stores their confidential encrypted data outside of their own domain, which attracts many attackers and hackers. DNA computing can be one of the best solutions to protect the data of a cloud server. Here, the DO can use DNA bases to encrypt the data by generating a long DNA sequence. Another application of DNA computing is in Wireless Sensor Network (WSN). Many researchers are trying to improve the security of WSN by using DNA computing. Here, DNA cryptography is used along with Secure Socket Layer (SSL) that supports a secure medium to exchange information. However, recent research shows some limitations of DNA computing. One of the critical issues is that DNA cryptography does not have a strong mathematical background like other cryptographic systems. This edited book is being planned to bring forth all the information of DNA computing. Along with the research gaps in the currently available books/literature, this edited book presents many applications of DNA computing in the fields of computer science. Moreover, research challenges and future work directions in DNA computing are also provided in this edited book.

  • The Therapeutic Community

    Research and Practice
    • 1st Edition
    • Carole Harvey
    • English
    The Therapeutic Community: Research and Practice brings together the diverse lens of these communities, illuminating and challenging current practice models and research. The book seeks to demonstrate the working collaboration between research-based and practice-based research, as well as filling the gaps for professions in behavioral health, neurobiology, corrections and workforce development. Each chapter explores how both environment and modality work together to change the quality of an individual's life. The reader is provided with a foundation and introduction to the language of 'Democratic' and 'Concept-based' TCs. This book presents case studies, protocols, fidelity measures and emerging research to help readers incorporate applications into their own practice.

  • Explainable Deep Learning AI

    Methods and Challenges
    • 1st Edition
    • Jenny Benois-Pineau + 3 more
    • English
    Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented.

  • IoT Enabled Multi-Energy Systems

    From Isolated Energy Grids to Modern Interconnected Networks
    • 1st Edition
    • Mohammadreza Daneshvar + 3 more
    • English
    IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.

  • Translational Autoimmunity, Volume 6

    Advances in Autoimmune Rheumatic Diseases
    • 1st Edition
    • Nima Rezaei
    • English
    Translational Autoimmunity: Advances in Autoimmune Rheumatic Diseases, Volume Six addresses autoimmune diseases classified under the category of rheumatic diseases. Rheumatic diseases are heterogeneous groups of disorders in which inflammation affects not only joints, but also tendons, ligaments and bones. This updated release focuses on immunopathogenesis and clinical and laboratory details of rheumatic diseases, including rheumatoid arthritis, systemic lupus erythematosus, psoriatic arthritis, osteoarthritis and Sjogren’s syndrome, and will be of interest to researchers, students and clinicians interested in autoimmune diseases, especially rheumatic diseases. From an introduction to rheumatic diseases to diagnostic laboratory tests, and from the microbiota-immunity to cell-based therapies, the bench to bedside approach to rheumatic diseases is the main subject of discussion in this comprehensive resource.

  • Receptor Endocytosis and Signalling in Health and Disease - Part B

    • 1st Edition
    • Volume 196
    • English
    Receptor Endocytosis and Signalling in Health and Disease, Part B, Volume 196 highlights the different aspects of receptor endocytosis and signaling, covering several receptors which are associated with different organs and that play a key role in normal functioning in the body, including somatostatin, Mas receptor, AMPA, Dopamine, 5-HT1-2, GABA, GPCR, nuclear receptor, Integrin, BCR, CRHR1, etc. Chapters in this new release include Internalization of somatostatin receptors in brain and periphery, Mas receptor, signaling and trafficking in health and disease, Endocytosis of AMPA receptors: Role in neurological conditions, Endocytosis of dopamine receptor: Signaling in brain, and more. Additional chapters cover Endocytosis of LXRs: Signalling in liver, Endocytosis of LDL receptor: Importance in cardiovascular diseases, Advances in the molecular level understanding of G-protein-coupled receptor, Nuclear receptor: Structure and function, Integrin receptor trafficking in health and disease, B Cell Receptor (BCR) endocytosis,CRHR1 endocytosis: Spatiotemporal regulation of receptor signaling, and much more.

  • Angiotensin

    From the Kidney to Coronavirus
    • 1st Edition
    • Paul M. Pilowsky
    • English
    Angiotensin: From the Kidney to Coronavirus, a new volume in the Molecular Mediators in Health and Disease series, presents the communication role of the hormone in both health and disease states. Beyond the most common conditions, the book also explores the role of Angiotensin in infectious diseases, like COVID-19. Sections provide background to its discovery and role in homeostasis, focus on molecular biology aspects, including genetics and measurements of its associated proteins, describe the specific actions of angiotensin in normal physiology with different organ systems, survey different classes of drugs that act on the Renin-angiotensin-al... system, cover non-angiotensin II peptides, and more. The final part of the book is dedicated to angiotensin’s role in disease states, making this the ideal reference for researchers in life sciences interested in understanding the physiological role of Angiotensin in a complete fashion. Research physicians will also benefit from the book’s complete coverage of organ systems and diseases where Angiotensin plays a key role.

  • Covid-19 and Vaccine Nationalism

    Managing the Politics of Global Pandemics
    • 1st Edition
    • Eric E. Otenyo
    • English
    Covid-19 and Vaccine Nationalism: Managing the Politics of Global Pandemics provides an in-depth overview of the complex nature politics played in vaccine production and distribution. The book ensures international and domestic politics, governance, and mechanisms of vaccine production and administration are understandable through insightful discussions. The book aims to solve several problems, including the essence of vaccine nationalism in a context of international politics, the discourse of vaccine nationalism outside popular media, historical documentation of the problem of vaccine inequality and low access of Covid-19 vaccines in developing countries of Africa, the Caribbean, parts of Asia, and more. Final sections cover the global blueprint of solving the problem of the Covid-19 pandemic through vaccines and an in-depth analysis of the politics of Covid-19 vaccines in the United States, China, Europe, the United Kingdom and India.

  • Computational Methods and Deep Learning for Ophthalmology

    • 1st Edition
    • D. Jude Hemanth
    • English
    Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye. Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This handbook provides biomedical engineers, computer scientists, and multidisciplinary researchers with a significant resource for addressing the increase in the prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration.

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