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Books in Physical sciences and engineering

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    • Electronic Devices, Circuits, and Systems for Biomedical Applications

      • 1st Edition
      • April 28, 2021
      • Suman Lata Tripathi + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 1 7 2 5
      • eBook
        9 7 8 0 3 2 3 8 5 3 6 9 9
      Electronic Devices, Circuits, and Systems for Biomedical Applications: Challenges and Intelligent Approaches explains the latest information on the design of new technological solutions for low-power, high-speed efficient biomedical devices, circuits and systems. The book outlines new methods to enhance system performance, provides key parameters to explore the electronic devices and circuit biomedical applications, and discusses innovative materials that improve device performance, even for those with smaller dimensions and lower costs. This book is ideal for graduate students in biomedical engineering and medical informatics, biomedical engineers, medical device designers, and researchers in signal processing.

    • Natural Resource Governance in Asia

      • 1st Edition
      • April 28, 2021
      • Raza Ullah + 4 more
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 7 2 9 1
      • eBook
        9 7 8 0 3 2 3 8 9 7 9 8 3
      Natural Resource Governance in Asia: From Collective Action to Resilience Thinking identifies key leverage points where interventions can be made surrounding current and future impacts of ongoing environmental and sociopolitical challenges. The book utilizes case studies from Asia, a key demographic for natural resource management, that can be applied globally in understanding solutions and the current state of knowledge in natural resource dynamics. Users will find valuable sections on community forestry and socioecological systems, community irrigation, competing water demand, robustness issues, climate change, and natural resource dynamics and challenges. This interdisciplinary tome on the topic is invaluable to researchers and policymakers alike.

    • Magnetic Nanomaterials in Analytical Chemistry

      • 1st Edition
      • April 28, 2021
      • Mazaher Ahmadi + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 1 3 1 0
      • eBook
        9 7 8 0 1 2 8 2 2 1 6 6 2
      Magnetic Nanomaterials in Analytical Chemistry provides the first comprehensive review of magnetic nanomaterials in a variety of analytical chemistry applications, including basic information necessary for students and those new to the topic to utilize them. In addition to analytical chemists, those in various other disciplines where these materials have great potential—e.g., organic chemistry, catalysis, sensors—will also find this a valuable resource. Magnetic nanomaterials that can be controlled using external magnetic fields have opened new doors for the development of new sample preparation methods and novel magnetic sorbents for forensic chemistry, environmental monitoring, magnetic digital microfluidics, bioanalysis, and food analysis. In addition, they are seeing wide application as sensing materials in the development of giant magnetoresistive sensors, biosensors, electrochemical sensors, surface-enhanced Raman spectroscopy sensors, resonance light scattering sensors, and colorimetric sensors.

    • Researches and Applications of Artificial Intelligence to Mitigate Pandemics

      • 1st Edition
      • April 27, 2021
      • Kauser Hameed + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 9 5 9 4
      • eBook
        9 7 8 0 3 2 3 8 9 9 9 6 3
      Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.

    • Tribocorrosion

      • 1st Edition
      • April 27, 2021
      • Arpith Siddaiah + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 9 1 6 0
      • eBook
        9 7 8 0 1 2 8 1 8 9 1 7 7
      Tribocorrosion: Fundamentals, Methods, and Materials provides a balanced coverage of recent advancements in both experimental and computational areas of tribocorrosion, covering the basic concepts of tribology and electrochemistry, as well as testing set-ups, protocols, electrochemical methods, and more. It outlines experimental methods, demonstrating the different effects of material loss due to mechanical and electrochemical actions and looks at their effects in applied automotive, aerospace and biomedical settings. Standard testing protocols, tribocorrosion mechanisms in sliding contacts, and modeling and simulation techniques are all covered at length, as is bio-tribocorrosion and the best ways to prevent it.

    • Applications of Viscoelasticity

      • 1st Edition
      • April 27, 2021
      • Pouria Hajikarimi + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 1 2 1 0 3
      • eBook
        9 7 8 0 1 2 8 2 1 2 1 1 0
      Applications of Viscoelasticity: Bituminous Materials Characterization and Modeling starts with an introduction to the theory of viscoelasticity, emphasizing its importance to various applications in material characterization and modeling. It next looks at constitutive viscoelastic functions, outlines basic equations for different loading conditions, and introduces the Boltzmann superposition principle, relaxation modulus, and creep compliance. Mechanical models, including integer-order and fractional-order are studied next, featuring real experimentation data alongside the benefits and drawbacks of using each model in various real-world scenarios. The book then covers the correspondence principle, followed by time–temperature superposition, featuring a simple procedure to construct a real master curve and challenges that might be encountered. The concluding chapters cover the Hopkins and Hamming, Park and Kim, and General Power law methods for interconversion of constitutive viscoelastic functions, applications of viscoelasticity for experimental tests, and incremental form of viscoelastic relations for numerical modeling. The book also includes supplementary codes that users can duplicate and use in their own work.

    • The Effect of Long Term Thermal Exposure on Plastics and Elastomers

      • 2nd Edition
      • April 25, 2021
      • Laurence W. McKeen
      • English
      • Hardback
        9 7 8 0 3 2 3 8 5 4 3 6 8
      • eBook
        9 7 8 0 3 2 3 8 5 4 3 7 5
      The Effect of Long Term Thermal Exposure on Plastics and Elastomers, Second Edition brings together a wide range of essential data on the effect of long-term thermal exposure on plastics and elastomers, enabling engineers to make optimal material choices and design decisions. This second edition has been thoroughly revised to include the latest data and materials. This highly valuable handbook will support engineers, product designers, R&D professionals, and scientists who are working on plastics products or parts for high temperature environments across a range of industries. This readily available data will make it easy for practitioners to learn about plastic materials and their long- term thermal exposure without having to search the general literature or depend on suppliers. This book will also be of interest to researchers and advanced students in plastics engineering, polymer processing, coatings, and materials science and engineering.

    • Peridynamic Modeling, Numerical Techniques, and Applications

      • 1st Edition
      • April 24, 2021
      • Erkan Oterkus + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 6 9 8
      • eBook
        9 7 8 0 1 2 8 2 0 4 4 1 2
      This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics.

    • Introduction to Spatial Mapping of Biomolecules by Imaging Mass Spectrometry

      • 1st Edition
      • April 23, 2021
      • Bindesh Shrestha
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 9 9 8 6
      • eBook
        9 7 8 0 1 2 8 1 8 9 9 9 3
      Imaging mass spectrometry (MS) techniques are often utilized without an understanding of their underlying principles, making it difficult for scientists to determine when and how they can exploit MS to visualize their biomolecules of interest. Introduction to Spatial Mapping of Biomolecules by Imaging Mass Spectrometry is an essential reference to help scientists determine the status and strategies of biomolecule analysis, describing its many applications for diverse classes of biomolecules. The book builds a foundation of imaging MS knowledge by introducing ionization sources, sample preparation, visualization guidelines, molecule identification, quantification, data analysis, etc. The second section contains chapters focused on case studies on analyzing a biomolecule class of molecules. Case studies include an introduction/backgro... and a summary of successful imaging MS studies with illustrative figures and future directions.

    • The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

      • 1st Edition
      • April 23, 2021
      • Stephanie K. Ashenden
      • English
      • Paperback
        9 7 8 0 1 2 8 2 0 0 4 5 2
      • eBook
        9 7 8 0 1 2 8 2 0 4 4 9 8
      The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient’s life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics.

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