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Academic Press

  • Advances in Immunology

    • 1st Edition
    • Volume 155
    • English
    Advances in Immunology, Volume 155, the latest release in this ongoing serial, highlights new advances in the field with this new volume presenting interesting chapters written by an international board of authors. Sections of note cover B cell/GC material.

  • Neuroimaging in Parkinson’s Disease and Related Disorders

    • 1st Edition
    • Marios Politis + 2 more
    • English
    Neuroimaging in Parkinson’s Disease and Related Disorders discusses the advances of molecular, structural and functional neuroimaging techniques associated with the etiology, pathophysiology, effects and complications of novel therapies in Parkinson’s and related disorders. With new neuroimaging methodologies emerging over the past five years, this book provides a comprehensive overview of new technologies and research. Sections discuss the biomarker value of neuroimaging of the brain to understand disease progression in vivo in actual patients with Parkinson’s disease and related disorders. Readers will be updated on in vivo pathology and pathophysiology in Parkinson’s disease and in a number of related disorders. Also discussed is the association between clinical symptoms, clinical progression, and molecular, structural, and functional changes in the brain of patients with Parkinson’s disease and related disorders.

  • Research Ethics in Behavior Analysis

    From Laboratory to Clinic and Classroom
    • 1st Edition
    • David J. Cox + 3 more
    • English
    The behavior analytic research community emphasizes within-subject research methodologies to study relations between individual behavior and the environment. This is unique as behavior analytic practitioners can then replicate directly the research they read when determining whether a research finding applies to the clients with whom they work. Research Ethics in Behavior Analysis: From Laboratory to Clinic and Classroom is a reference guide for behavior analysts who conduct, supervise, or consume research specific to behavior analysis. This book is sequenced to follow the natural research process, beginning with an introduction to the history of research ethics that led to modern principles and values of scientific research ethics. The reader is taken through sequential steps from obtaining resources to support a research project through participant recruitment, conducting the study, communicating results, and supporting replication. Each chapter incorporates critical and under-discussed topics unique to research ethics in behavior analysis such as diversity, equity, and inclusion in the research process; balancing methodological rigor with clinical outcomes; aligning research and clinical goals; assessing generalization of research findings; the gray lines of assent and consent for intervention versus research; identifying and obtaining resources to support research; conflicts of interest; using technology and social media; and ethically handling data.

  • Microfluidic Biosensors

    • 1st Edition
    • Wing Cheung Mak + 1 more
    • English
    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.

  • Biochemistry, Nutrition, and Therapeutics of Black Cumin Seed

    • 1st Edition
    • Abdalbasit Adam Mariod
    • English
    Biochemistry, Nutrition, and Therapeutics of Black Cumin Seed covers the history of medicinal uses of N. sativa and its position in various cultures, agronomy, cultivation and agricultural practices. The book also brings the biochemical composition, carbohydrates, polysaccharides and nutritional value of black cumin seeds, while also exploring them as a potential functional food. Written by an international team of black cumin seeds researchers, this book aims to reach producers, nutraceuticals and pharmaceutical companies, unconventional oil producing companies, seed oils researchers, Institutes and research groups of medicinal plants, Food and chemistry students what they need to understand about the black cumin seed. Black cumin's application as a food additive and flavoring agent have been reported in various countries around the world. Furthermore, previous studies have identified many volatile components present in N. sativa seeds, including thymoquinone, a main compound that has antioxidant, antimicrobial, anti-malarial, anti-cancer activities and help in treatment of bronchial asthma, ischemia and cardiovascular diseases, besides many other compounds that can induce pharmacological effects and have therapeutic potential in humans.

  • Meta-Learning

    Theory, Algorithms and Applications
    • 1st Edition
    • Lan Zou
    • English
    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.

  • Handbook of Economic Expectations

    • 1st Edition
    • Ruediger Bachmann + 2 more
    • English
    Handbook of Economic Expectations discusses the state-of-the-art in the collection, study and use of expectations data in economics, including the modelling of expectations formation and updating, as well as open questions and directions for future research. The book spans a broad range of fields, approaches and applications using data on subjective expectations that allows us to make progress on fundamental questions around the formation and updating of expectations by economic agents and their information sets. The information included will help us study heterogeneity and potential biases in expectations and analyze impacts on behavior and decision-making under uncertainty.

  • Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment

    • 1st Edition
    • M. B. Malarvili + 4 more
    • English
    Systems and Signal Processing of Capnography as a Diagnostic Tool for Asthma Assessment provides a comprehensive overview of groundbreaking tools and techniques for the diagnosis and monitoring of asthma. Sections cover an introduction to the human respiratory system and the pathophysiology of asthma before analyzing current assessment concepts, tools and techniques. The book describes spirometry and the peak flow meter as existing tools in assessing asthma along with their limitations. In addition, a detailed description of capnography as a new approach is included with various studies conducted on its analysis. Academicians and researchers in biomedical engineering, particularly in the course of biomedical signal processing and biomedical instrumentation will find the book useful.

  • Data Analytics for Social Microblogging Platforms

    • 1st Edition
    • Soumi Dutta + 3 more
    • English
    Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

  • Magnetic Resonance Image Reconstruction

    Theory, Methods, and Applications
    • 1st Edition
    • Volume 7
    • Mehmet Akcakaya + 2 more
    • English
    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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