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Elsevier

Academic Press

  • Innovations in Robotic Design, Control, and Rehabilitation Dynamics

    • 1st Edition
    • Ahmad Taher Azar + 1 more
    • English
    Innovations in Robotic Design, Control, and Rehabilitation Dynamics explores a wide range of topics, from biomechanics-inspire... exoskeletons to neural control strategies for mobile robot swarms. From autonomous vehicles to medical robotics, this book delves into the latest advancements in modeling, dynamics, and control. Each chapter offers insights essential for navigating the complexities of modern robotic systems. By focusing on precise modeling techniques, researchers aim to better understand and predict robot behavior while advanced control strategies optimize performance and adaptability in dynamic environments. With a keen eye on integrating sensory feedback and perception systems, robots are becoming increasingly autonomous and intelligent. Whether you're interested in cable-driven haptic devices or AI-enhanced biosensors in medical robotics, this book provides a deep-dive into cutting-edge developments shaping the future of robotics.

  • The Metallome in Motion

    Insights into Ecosystem and Food Chain Toxicodynamics
    • 1st Edition
    • Vandana Singh + 3 more
    • English
    The Metallome in Motion: Insights into Ecosystem and Food Chain Toxicodynamics fills a vital gap by integrating multidisciplinary research on how metals influence biological systems, food safety, and environmental health. The book’s contents span a wide range of interrelated topics, beginning with metal-mediated epigenetic modifications and toxicodynamics at the molecular and cellular levels. Other sections explore the geochemical and anthropogenic origins of contaminants, factors affecting metal bioavailability, and the synergistic effects of metal-radical interactions. In addition, detailed chapters address the roles of metalloproteins, pathways of bioaccumulation and trophic transfer, transgenerational toxicity, and hidden reservoirs such as soil microaggregates.Adva... analytical methods, the emerging field of toxicometallomics, impacts of metals in agriculture, quantum effects of nanoparticles, and global regulatory frameworks are also thoroughly discussed, making this an essential reference for postgraduate students in food science, as well as academics and researchers in agriculture, plant science, environmental science, and biotechnology.

  • Investigative and Predictive Forensic Microbiology

    • 1st Edition
    • Hirak Ranjan Dash
    • English
    Investigative and Predictive Forensic Microbiology showcases the latest advancements in microbial technology for forensic applications, covering a wide range of topics in forensic microbiology. Sections explore human normal microflora, cover classical methods of analyzing microbes, discuss microbial tools in forensic medicine that address post-mortem analysis, and delve into microbial biomarkers for estimating time of death. Investigative microbiology topics include analyzing body fluids, geolocation prediction using microbes, ancient microbial DNA analysis, biodefense, and emerging infections. The book's final section focuses on challenges and future approaches, covering statistical interpretation of data, regulatory considerations, and ethical implications of forensic microbiology.With contributions from renowned experts in the field, this book is a comprehensive resource for researchers and practitioners in microbiology, genetics, forensic science, and for law enforcement professionals and advanced students.

  • Learning-Based Soft Sensing and Predictions for Process Industries

    Theory, Methodology and Applications
    • 1st Edition
    • Hamid Reza Karimi + 1 more
    • English
    Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures...

  • Artificial Intelligence in Behavioral and Mental Health Care

    • 2nd Edition
    • David D. Luxton
    • English
    "Artificial Intelligence in Behavioral and Mental Healthcare", Second Edition, focuses on modern developments in AI and their specific application in mental health practice and research. AI technologies are transforming how mental and behavioral health care is provided and conducted. This updated edition summarizes recent advances in artificial intelligence in mental health clinical practice and research. Each chapter provides a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and use limitations. New to this edition are chapters on topics such as machine learning in clinical and research settings, workflow efficiency through task automation, and how AI can be used to aid in precision health and medicine. This book will be helpful to mental health practitioners interested in learning about or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. This book helps solve the problem of disparate, non-specific, or overgeneralized information by consolidating need-to-know information in one comprehensive reference volume specific to behavioral and mental health.

  • Biomechanics and Mechanobiology of Bone

    From Model to Patient
    • 1st Edition
    • Luis Cardoso + 2 more
    • English
    Biomechanics and Mechanobiology of Bone: From Model to Patient provides readers with a comprehensive overview of the modelling and assessment of bone biomechanics. It addresses topics such as biosubstitutes and bone implants from the point of view of design, properties, computational modeling, and choice of biomaterials. It concentrates on the biomechanics and mechanobiology modeling approaches of bone, including biological models, multiphysical approaches, surface and volumetric growth models, and bone fluid flow models. This is augmented by case studies and examples of models for computer-aided diagnosis, treatment, and monitoring of bone diseases. Readers are introduced to bone physiology, adaptation, and disease, including cellular aspects at the root of bone mechanotransduction and leading to bone growth and remodeling, and management of diseases. Chapters also cover the mechanical, multiphysical multiscale properties of bone and constitutive laws including bone viscoelasticity, poroelasticity, bone damage, fatigue and fracture, as well as measurement techniques of bone properties.

  • Neurobiology of Obsessive-Compulsive Disorder

    • 1st Edition
    • Eric A. Storch + 2 more
    • English
    Neurobiology of Obsessive-Compulsive Disorder provides a comprehensive review of obsessive-compulsive disorder through a neurobiological lens, offering invaluable insights for researchers and clinicians alike. The book begins with a comprehensive introduction to OCD, detailing its definition, historical perspectives, prevalence, and symptomatology, alongside its comorbidities and associated disorders. Delving into the genetic and familial aspects, the book examines genetic predispositions, heritability, and significant genome-wide association studies. In addition, it addresses neuropsychological findings, cognitive dysfunctions, and implications for treatment, alongside neurodevelopmental factors, including early life stress, immune system dysregulation, and environmental risk factors.Special attention is given to PANDAS/PANS as mechanisms of OCD pathogenesis and the insights gained from animal models. Subsequent chapters cover diagnosis, pharmacological treatments, and a range of psychotherapeutic and behavioral interventions, including CBT, ERP, and ACT, as well as neuromodulation techniques. Finally, the book presents neurobiology-informe... treatment approaches, personalized medicine, and integrative strategies, concluding with discussions on current challenges, ethical considerations, and future research directions.

  • Innovative Strategies Against Blood Parasites

    Advancing Control Through Natural Products and Next-Generation Technologies
    • 1st Edition
    • Mohamed Dkhil
    • English
    Innovative Strategies Against Blood Parasites: Advancing Control Through Natural Products and Next-Generation Technologies explores innovative strategies for controlling blood parasitic diseases by combining natural products with next-generation technologies like nanotechnology and AI. The book provides a multidisciplinary approach to developing sustainable, effective, and accessible therapies to combat drug resistance and improve patient outcomes. Bridging traditional pharmacognosy with modern biomedical advances, the volume covers natural antiparasitic compounds, nanomedicine-based delivery systems, and computational tools such as genomics and machine learning.It features case studies, practical applications, and future perspectives, serving as an essential resource for researchers, clinicians, policymakers, and students involved in parasitology, tropical medicine, and drug discovery.

  • Machine Learning Solutions for Inverse Problems: Part B

    • 1st Edition
    • Volume 27
    • English
    Machine Learning Solutions for Inverse Problems: Part B, Volume 27 in the Handbook of Numerical Analysis, continues the exploration of emerging approaches at the intersection of machine learning and inverse problem theory. This volume presents a collection of chapters addressing a wide range of contemporary topics, including deep image prior methods for computed tomography, data-consistent learning strategies, and unified frameworks for training and inversion in machine learning-based reconstruction methods. Additional chapters examine learned regularization techniques, generative models for inverse problems, and the integration of deep learning with traditional computational frameworks such as full waveform inversion and PDE-based inverse modeling.The volume also discusses advances in self-supervised learning, data selection strategies, plug-and-play denoising methods, and diffusion models for solving imaging inverse problems. Further contributions explore neural network representations, operator learning, and learned iterative schemes, along with theoretical perspectives on stability, approximation hardness, hallucinations, and trustworthiness in AI-driven inverse problem methodologies.

  • Mountain Diversity

    Dynamics of High‑Altitude Environments
    • 1st Edition
    • Robert Marchant
    • English
    Mountain Diversity: Dynamics of High‑Altitude Environments explores the highly biodiverse, culturally rich, and often threatened mountain regions that comprise a quarter of the world's continental land surface. These complex areas play a fundamental role in shaping continental-scale climates and have long been recognized as globally important centers of biodiversity. Mountains cover only 25% of global continental land surface yet are home to more than 85% of the world’s amphibians, birds, and mammals, many of which are entirely restricted to mountains. Despite their importance as stores of biodiversity and drivers of global sustainability, high altitude areas are particularly vulnerable to climate change and human interventions.Writte... by a leading expert in tropical mountain ecology, this book explores the processes that define the world's high-altitude areas in an easily digestible manner. Early chapters characterize high-altitude areas according to topography, fire regime, and climate. Dr. Marchant collates palaeoecological, archaeological, and historical insights to synthesize the intersection between mountain societies, ecosystems, and climate. Middle chapters examine the relationship between mountain climates and insect, bird, and mammalian biodiversity. Final chapters describe the future of land use, climate, and biodiversity, and explore opportunities to combine insights from different disciplines to enable pathways for more sustainable futures in sustainable mountain development.High-alt... regions are not adequately protected, and many mountain ranges remain completely unprotected. The status of these important storehouses of biodiversity is under increasing threat via population growth, climatic extremes, and land use change. High-Altitude Biodiversity will present current biodiversity across the world's mountains and use this information to identify priorities for new ways to understand, value, protect, and conserve high altitude areas. By taking a novel interdisciplinary approach that combines temporally and spatially diverse datasets from high altitude areas around the world, this can be used to inform future development.

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