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Books in Physical sciences and engineering

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    • Multifaceted Bio-sensing Technology

      • 1st Edition
      • November 8, 2022
      • Lakhveer Singh + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 0 8 0 7 8
      • eBook
        9 7 8 0 3 2 3 9 9 8 0 9 3
      Multifaceted Bio-sensing Technology introduces the different types of biosensors, their construction materials, configurations, production methods, and their uses in bioelectrochemical fuel cells (BEFC). It focuses on recent progress in the production of biosensing platforms/interfaces... their integration, design and fabrication, and their multifaceted applications in bioelectrochemical systems. The chapters explore the integration of genetic elements such as DNA, enzymes, and whole cells within these systems, and address environmental applications including wastewater contaminant detection, toxicity, and bioremediation. Throughout, the book shows how rapid, minuscule, and affordable biocomponents can be produced for a variety of energy and environmental applications. This book provides a practical introduction to the production of biocomponents for bioelectrochemical devices and environmental monitoring, and will be a useful reference for graduates and researchers involved in the application of bioelectrochemical systems, as well as those working more broadly in bioenergy, electrochemistry, biology, environmental engineering, and multidisciplinary research across those areas.

    • Novel Platforms for Drug Delivery Applications

      • 1st Edition
      • November 8, 2022
      • Sangita Das + 2 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 1 3 7 6 8
      • eBook
        9 7 8 0 3 2 3 9 1 3 7 8 2
      Novel Platforms for Drug Delivery Applications covers diverse aspects in the design, synthesis and characterization of novel drug delivery platforms and devices. This book comprehensively details the development, application and performance of various novel molecular frameworks as potent drug delivery vehicles. Chapters cover a range of materials and molecular platforms for drug delivery, from hydrogels, nanocarriers and metal-organic-framew... to ꞵ-cyclodextrin and polyphosphazene. Each chapter discusses the benefits and limitations of each drug delivery system, as well as toxicological and safety implications. This book offers an interdisciplinary approach to this fast-moving topic, bridging the disciplines of materials science and pharmacology.

    • Thermal Degradation of Polymeric Materials

      • 2nd Edition
      • November 5, 2022
      • Krzysztof Pielichowski + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 0 2 3 7
      • eBook
        9 7 8 0 1 2 8 2 3 1 4 2 5
      Thermal Degradation of Polymeric Materials, Second Edition offers a wealth of information for polymer researchers and processors who require a thorough understanding of the implications of thermal degradation on materials and product performance. Sections cover thermal degradation mechanisms and kinetics, as well as various techniques, such as thermogravimetry in combination with mass spectroscopy and infrared spectrometry to investigate thermal decomposition routes. Other chapters focus on polymers and copolymers, including polyolefins, styrene polymers, polyvinyl chloride, polyamides, polyurethanes, polyesters, polyacrylates, natural polymers, inorganic polymers, high temperature-resistan... and conducting polymers, blends, organic-inorganic hybrid materials, nanocomposites, and biocomposites. Finally, other key considerations such as recycling of polymers by thermal degradation, thermal degradation during processing, and modelling, are discussed in detail.

    • Microfluidic Biosensors

      • 1st Edition
      • November 5, 2022
      • Wing Cheung Mak + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 8 4 6 2
      • eBook
        9 7 8 0 1 2 8 2 3 8 4 7 9
      Microfluidic Biosensors provides a comprehensive overview covering the most recent emerging technologies on the design, fabrication, and integration of microfluidics with transducers. These form various integrated microfluidic biosensors with device configurations ranging from 2D to 4D levels. Coverage also includes advanced printed microfluidic biosensors, flexible microfluidics for wearable biosensors, autonomous lab-on-a-chip biosensors, CMOS-base microanalysis systems, and microfluidic devices for mobile phone biosensing. The editors and contributors of this book represent both academia and industry, come from a varied range of backgrounds, and offer a global perspective. This book discusses the design and principle of microfluidic systems and uses them for biosensing applications. The microfluidic fabrication technologies covered in this book provide an up-to-date view, allowing the community to think of new ways to overcome challenges faced in this field. The focus is on existing and emerging technologies not currently being analyzed extensively elsewhere, providing a unique perspective and much-needed content. The editors have crafted this book to be accessible to all levels of academics from graduate students, researchers, and professors working in the fields of biosensors, microfluidics design, material science, analytical chemistry, biomedical devices, and biomedical engineering. It can also be useful for industry professionals working for microfluidic device manufacturers, or in the industry of biosensors and biomedical devices.

    • Annual Reports on Computational Chemistry

      • 1st Edition
      • Volume 18
      • November 5, 2022
      • English
      • Hardback
        9 7 8 0 3 2 3 9 9 0 9 2 9
      • eBook
        9 7 8 0 3 2 3 9 9 0 9 3 6
      Annual Reports in Computational Chemistry, Volume 18 in this important serial, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Atomistic modelling of surface plasmon resonances, Recent Advances in Solvation Modelling Applications: Chemical Properties, Reaction Mechanisms and Catalysis, Entropy considerations in catalysis, High level computational chemistry methods, and Computational Organofluorine chemistry.

    • Emerging Applications of Carbon Nanotubes in Drug and Gene Delivery

      • 1st Edition
      • November 5, 2022
      • Prashant Kesharwani
      • English
      • Paperback
        9 7 8 0 3 2 3 8 5 1 9 9 2
      • eBook
        9 7 8 0 3 2 3 8 5 5 7 5 4
      Emerging Applications of Carbon Nanotubes in Drug and Gene Delivery brings together principles behind the formation, characterization and development of carbon nanotubes (CNTs) with recent advances in drug and gene delivery applications. The book begins with an introduction to the unique properties of CNTs, as well as the various synthesis, purification and functionalization methods available. Later chapters cover drug and gene delivery using CNTs for therapeutic applications, comparing advantages and disadvantages of each. The book then goes on to discuss toxicity and safety challenges in using CNTs in biomedicine, with a forward-look at regulatory requirements and clinical translations. This book offers a detailed reference for materials scientists, biomedical engineers, pharmaceutical scientists and geneticists interested in CNTs and nanomedicine.

    • Meta-Learning

      • 1st Edition
      • November 5, 2022
      • Lan Zou
      • English
      • Paperback
        9 7 8 0 3 2 3 8 9 9 3 1 4
      • eBook
        9 7 8 0 3 2 3 9 0 3 7 0 7
      Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.

    • Atmospheric Remote Sensing

      • 1st Edition
      • November 5, 2022
      • Abhay Kumar Singh + 1 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 2 6 2 6
      • eBook
        9 7 8 0 3 2 3 9 9 2 6 3 3
      Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed. This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.

    • Aerial Robotic Workers

      • 1st Edition
      • November 5, 2022
      • George Nikolakopoulos + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 9 0 9 6
      • eBook
        9 7 8 0 1 2 8 1 4 9 1 0 2
      Aerial Robotic Workers: Design, Modeling, Control, Vision and Their Applications provides an in-depth look at both theory and practical applications surrounding the Aerial Robotic Worker (ARW). Emerging ARWs are fully autonomous flying robots that can assist human operations through their agile performance of aerial inspections and interaction with the surrounding infrastructure. This book addresses all the fundamental components of ARWs, starting with the hardware and software components and then addressing aspects of modeling, control, perception of the environment, and the concept of aerial manipulators, cooperative ARWs, and direct applications. The book includes sample codes and ROS-based tutorials, enabling the direct application of the chapters and real-life examples with platforms already existing in the market.

    • Magnetic Resonance Image Reconstruction

      • 1st Edition
      • Volume 7
      • November 4, 2022
      • Mehmet Akcakaya + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 2 7 2 6 8
      • eBook
        9 7 8 0 1 2 8 2 2 7 4 6 6
      Magnetic Resonance Image Reconstruction: Theory, Methods and Applications presents the fundamental concepts of MR image reconstruction, including its formulation as an inverse problem, as well as the most common models and optimization methods for reconstructing MR images. The book discusses approaches for specific applications such as non-Cartesian imaging, under sampled reconstruction, motion correction, dynamic imaging and quantitative MRI. This unique resource is suitable for physicists, engineers, technologists and clinicians with an interest in medical image reconstruction and MRI.

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