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Academic Press

  • Enzymes Beyond Traditional Applications in Dairy Science and Technology

    • 1st Edition
    • Y.S. Rajput + 1 more
    • English
    A volume in the series on Foundations and Frontiers of Enzymology, Enzymes Beyond Traditional Applications in Dairy Science and Technology presents the applications of enzymes in dairy science and technology. Broken into four sections, this book provides a brief account of traditional applications of indigenous milk enzymes, the actions of exogenous enzymes on milk proteins for generating bioactive peptides and lactose for value addition, and methods and approaches for ensuring milk quality or cleaning milk plants.　 This book is an excellent resource for postgraduate students, academics, food scientists, and dairy professionals engaged in milk processing.

  • Antioxidants

    • 1st Edition
    • Volume 121
    • Gerald Litwack
    • English
    Antioxidants, Volume 121 in the Vitamins and Hormones series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.

  • Gene-Environment Interactions in Birth Defects and Developmental Disorders

    • 1st Edition
    • Volume 152
    • English
    Gene-Environment Interactions in Birth Defects and Developmental Disorders, Volume 152, covers the multifactorial etiology of a variety of developmental disorders, including orofacial clefts, fetal alcohol spectrum disorders, autism, and others. The causes of individual cases of most common birth defects are unknown but likely involve a combination of genetic predisposition and environmental exposures. How these risk factors interact in the genesis of these conditions is still largely unknown and readers will find the latest information and ideas on these disorders, along with discussion of the challenges and opportunities for furthering knowledge in this area.

  • Advances in Parasitology

    • 1st Edition
    • Volume 119
    • English
    Hybridisation in Parasites: Disease Evolution by Saltation, Volume 119 in the Advances in Parasitology: Disease Evolution by Saltation, the latest release in this ongoing series, includes medical studies of parasites of major influence, along with reviews of more traditional areas, such as zoology, taxonomy and life history.

  • Microbiome Metabolome Brain Vagus Nerve Circuit in Disease and Recovery

    • 1st Edition
    • Elena L. Paley
    • English
    Microbiome Metabolome Brain Vagus Nerve Circuit in Disease and Recovery focuses on the emerging hypothesis of a dysfunctional microbiome metabolome vagus nerve brain circuit in Alzheimer’s disease and associated diseases and medical conditions, including dementia, aging, COVID-19, autoimmune conditions, and inflammatory skin condition rosacea, which may increase the risk of other conditions. This book also discusses the vagus nerve-related conditions, including Arnold’s reflex, laryngopharyngeal reflux, duodenogastric reflux, gastroesophageal reflux, and related pulmonary diseases. The subjects covered in the book also address an important question of which one is more important for human health and intellectual abilities: the human genome or the human microbiome? The conceptual model of food and gut microbial tryptamine vagus nerve circuit is also presented in this book.

  • G Protein-Coupled Receptors - Part B

    • 1st Edition
    • Volume 195
    • English
    G Protein-Coupled Receptors, Part B, Volume 195 represents the largest class of cell H103 surface proteins that have intricate involvement in nearly every physiological process in our body. Approximately one third of the clinically prescribed medicines target GPCRs and the quest to improve the exiting GPCR-targeting therapeutics continues. Sections in this volume include Adhesion G protein-coupled receptors: Structure and functions, Molecular and cellular mechanisms underlying brain region-specific cannabinoid receptor modulation by estradiol across the rodent estrus cycle, Probing the orphan receptors: Tools and directions, Asymmetric activation of Class C GPCRs, Common and selective signal transduction mechanisms of GPCRs, and much more.

  • Computational Intelligence for Medical Internet of Things (MIoT) Applications

    Machine Intelligence Applications for IoT in Healthcare
    • 1st Edition
    • Volume 14
    • Yassine Maleh + 3 more
    • English
    Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.

  • Principles of Big Graph: In-depth Insight

    • 1st Edition
    • Volume 128
    • English
    Principles of Big Graph: In-depth Insight, Volume 128 in the Advances in Computer series, highlights new advances in the field with this new volume presenting interesting chapters on a variety of topics, including CESDAM: Centered subgraph data matrix for large graph representation, Bivariate, cluster and suitability analysis of NoSQL Solutions for big graph applications, An empirical investigation on Big Graph using deep learning, Analyzing correlation between quality and accuracy of graph clustering, geneBF: Filtering protein-coded gene graph data using bloom filter, Processing large graphs with an alternative representation, MapReduce based convolutional graph neural networks: A comprehensive review. Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph.

  • Battery Technology

    From Fundamentals to Thermal Behavior and Management
    • 1st Edition
    • Marc A Rosen + 1 more
    • English
    Battery Technology: From Fundamentals to Thermal Behavior and Management provides comprehensive coverage of rechargeable battery technology fundamentals, along with relevant aging mechanisms and thermal management systems. With a strong focus on the analysis and modeling of battery technologies, the book includes coverage of overpotentials in battery cells and discussions on the thermal-electrochemi... coupled modeling of batteries. Beginning with an introduction to battery technology, the book then takes a deep dive into thermodynamics of batteries and electrochemical modeling of batteries. Subsequent chapters examine battery thermal behavior and thermal systems, before discussing integrated battery-based systems. Accompanied by chapter objectives, applications, case studies and study questions to test knowledge, this book is an essential resource for students and researchers wanting to understand the underlying basics of batteries, along with the latest advances in battery technology.

  • Data Science, Analytics and Machine Learning with R

    • 1st Edition
    • Luiz Paulo Favero + 2 more
    • English
    Data Science, Analytics and Machine Learning with R explains the principles of data mining and machine learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. In addition, an entire chapter focuses on the concept of spatial analysis, allowing readers to build their own maps through geo-referenced data (such as in epidemiologic research) and some basic statistical techniques. Other chapters cover ensemble and uplift modeling and GLMM (Generalized Linear Mixed Models) estimations, both linear and nonlinear.

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