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Elsevier

Books in Physical sciences and engineering

  • Octacalcium Phosphate Biomaterials

    Understanding of Bioactive Properties and Application
    • 1st Edition
    • Gerard Insley + 1 more
    • English
    Octacalcium Phosphate Biomaterials: Past, Present and Future is a comprehensive study of octacalcium phosphate (OCP), a next generation biomaterial for bone regeneration. By focusing both on fundamental research and the use of OCP as a scaffold material, this book explores its potential to deliver improved clinical results. Early chapters in the book discuss OCP's effects on bone cell activity, cellular interactions and their role in bone formation, repair and replacement. Later chapters cover topics such as drug delivery, synthesis methodologies and future analysis techniques. This will be an invaluable and unique resource for researchers, clinicians, students and industrialists in the area of orthopedics and dentistry. OCP is known to be a pre-cursor to hydroxyapatite in the human biomineralization process that forms bone and tooth enamel. Research studies that have emerged in recent years suggest OCP's tremendous potential as a bioactive material.

  • Big Data Mining for Climate Change

    • 1st Edition
    • Zhihua Zhang + 1 more
    • English
    Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation’s big data climate challenge, some of which are recommended widely as new approaches for climate change research. Big Data Mining for Climate Change delivers a rich understanding of climate-related big data techniques and highlights how to navigate huge amount of climate data and resources available using big data applications. It guides future directions and will boom big-data-driven researches on modeling, diagnosing and predicting climate change and mitigating related impacts. This book mainly focuses on climate network models, deep learning techniques for climate dynamics, automated feature extraction of climate variability, and sparsification of big climate data. It also includes a revelatory exploration of big-data-driven low-carbon economy and management. Its content provides cutting-edge knowledge for scientists and advanced students studying climate change from various disciplines, including atmospheric, oceanic and environmental sciences; geography, ecology, energy, economics, management, engineering, and public policy.

  • Climate Extremes and Their Implications for Impact and Risk Assessment

    • 1st Edition
    • Jana Sillmann + 2 more
    • English
    Climate extremes often imply significant impacts on human and natural systems, and these extreme events are anticipated to be among the potentially most harmful consequences of a changing climate. However, while extreme event impacts are increasingly recognized, methodologies to address such impacts and the degree of our understanding and prediction capabilities vary widely among different sectors and disciplines. Moreover, traditional climate extreme indices and large-scale multi-model intercomparisons that are used for future projections of extreme events and associated impacts often fall short in capturing the full complexity of impact systems. Climate Extremes and Their Implications for Impact and Risk Assessment describes challenges, opportunities and methodologies for the analysis of the impacts of climate extremes across various sectors to support their impact and risk assessment. It thereby also facilitates cross-sectoral and cross-disciplinary discussions and exchange among climate and impact scientists. The sectors covered include agriculture, terrestrial ecosystems, human health, transport, conflict, and more broadly covering the human-environment nexus. The book concludes with an outlook on the need for more transdisciplinary work and international collaboration between scientists and practitioners to address emergent risks and extreme events towards risk reduction and strengthened societal resilience.

  • Alpha-glucosidase Inhibitors

    Clinically Promising Candidates for Anti-diabetic Drug Discovery
    • 1st Edition
    • Usman Ghani
    • English
    Alpha-glucosidase Inhibitors: Clinically Promising Candidates for Anti-diabetic Drug Discovery presents information that researchers can use to address a whole host of promising leads for the development of novel, oral, anti-diabetic drugs with improved efficacy and fewer side effects. Beginning with a discussion of the huge potential of α -glucosidase inhibitor leads and adaptations, and highlighting their importance within the field of anti-diabetic drug discovery, the book provides chemical structures, detailed background information and in vivo and in vitro biological activity data, and more economical adaptations of these structures. Drawing on the author’s expert research in the field, this book highlights promising leads for development and helps researchers select the most appropriate inhibitors for their own work. It is a useful tool not only for anti-diabetic drug development researchers, but also for those whose research may be enhanced by an understanding of α -glucosidase inhibitor chemistry and activity.

  • Computational Retinal Image Analysis

    Tools, Applications and Perspectives
    • 1st Edition
    • Emanuele Trucco + 2 more
    • English
    Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

  • Life Cycle Sustainability Assessment for Decision-Making

    Methodologies and Case Studies
    • 1st Edition
    • Jingzheng Ren + 1 more
    • English
    Life Cycle Sustainability Assessment for Decision-Making: Methodologies and Case Studies gives readers a comprehensive introduction to life cycle sustainability assessment (LCSA) methodology for sustainability measurement of industrial systems, proposing an efficiency methodology for stakeholders and decision-makers. Featuring the latest methods and case studies, the book will assist researchers in environmental sciences and energy to develop the best methods for LCA, as well as aiding those practitioners who are responsible for making decisions for promoting sustainable development. The past, current status and future of LCSA, Life Cycle Assessment method (LCA), Life Cycle Costing (LCC), Social Life Cycle Assessment (SLCA), the methodology of LCSA, typical LCSA case studies, limitations of LCSA, and life cycle aggregated sustainability index methods are all covered in this multidisciplinary book.

  • Self-Compacting Concrete: Materials, Properties and Applications

    • 1st Edition
    • Rafat Siddique
    • English
    Self-Compacting Concrete: Materials, Properties and Applications presents the latest research on various aspects of self-compacting concrete, including test methods, rheology, strength and durability properties, SCC properties at elevated temperature, SC manufacturing with the use of SCMs, recycled aggregates and industrial by-products. Written by an international group of contributors who are closely associated with the development of self-compacting concrete, the book explores the main differences between SCC and normal concrete in terms of raw materials, fresh properties and hardened properties. Other topics discussed include the structure and practical applications of fiber reinforced SCC. Researchers and experienced engineers will find this reference to be a systematic source to SCC with its accounting of the latest breakthroughs in the field and discussions of SCC constructability, structural integrity, improved flows into complex forms, and superior strength and durability.

  • Representative Volume Elements and Unit Cells

    Concepts, Theory, Applications and Implementation
    • 1st Edition
    • Shuguang Li + 1 more
    • English
    Numerical methods to estimate material properties usually involve analysis of a representative volume element (RVE) or unit cell (UC). The representative volume element (RVE) or unit cell (UC) is the smallest volume over which a measurement can be made that will yield a value representative of the whole. RVEs and UCs are widely used in the characterisation of materials with multiscale architectures such as composites. However, finite element (FE) software packages such as Abaqus and Comsol MultiPhysics do not offer the capability for RVE and UC modelling directly on their own. To apply them to analyse RVEs and UCs, the generation of the FE models for them, the imposition of boundary conditions, and the extraction of directly relevant results are essentially the responsibility of the user. These have tended to be incorrectly implemented by users! For the first time, this book will provide a comprehensive account on correct modelling of RVEs and UCs, which will eliminate any uncertainties and ambiguities.The book offers a complete and thorough review on the subject of RVEs and UCs, establishing a framework on a rigorous mathematical and mechanical basis to ensure that basic concepts, such as symmetry and free body diagrams, are applied correctly and consistently. It also demonstrates to readers that rigorous applications of mathematics and mechanics are meant to make things clear, consistent, thorough and, most of all, simple and easy to follow, rather than the opposite as many perceive. As a result, the book shows that the appropriate use of RVEs and UCs can deliver an effective and reliable means of material characterisation. It not only provides a much needed comprehensive account on material characterisation but, more importantly, explains how such characterisation can be conducted in a consistent and systematic manner. It also includes a ready-to-use open source code for UCs that can be downloaded from a companion site for potential users to utilise, adapt and expand as they wish.

  • Shale Oil and Gas Production Processes

    • 1st Edition
    • James G. Speight
    • English
    Shale Oil and Gas Production Processes delivers the basics on current production technologies and the processing and refining of shale oil. Starting with the potential of formations and then proceeding to production and completion, this foundational resource also dives into the chemical and physical nature of the precursor of oil shale, kerogen, to help users understand and optimize its properties in shale. Rounding out with reporting, in situ retorting, refining and environmental aspects, this book gives engineers and managers a strong starting point on how to manage the challenges and processes necessary for the further development of these complex resources.

  • Semi-Lagrangian Advection Methods and Their Applications in Geoscience

    • 1st Edition
    • Steven J. Fletcher
    • English
    Semi-Lagrangian Advection Methods and Their Applications in Geoscience provides a much-needed resource on semi-Lagrangian theory, methods, and applications. Covering a variety of applications, the book brings together developments of the semi-Lagrangian in one place and offers a comparison of semi-Lagrangian methods with Eulerian-based approaches. It also includes a chapter dedicated to difficulties of dealing with the adjoint of semi-Lagrangian methods and illustrates the behavior of different schemes for different applications. This allows for a better understanding of which schemes are most efficient, stable, consistent, and likely to introduce the minimum model error into a given problem. Beneficial for students learning about numerical approximations to advection, researchers applying these techniques to geoscientific modeling, and practitioners looking for the best approach for modeling, Semi-Lagrangian Advection Methods and Their Applications in Geoscience fills a crucial gap in numerical modeling and data assimilation in geoscience.

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