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Elsevier

Academic Press

  • The Zebrafish: Disease Models and Chemical Screens

    • 4th Edition
    • Volume 138
    • English

  • Mathematica by Example

    • 5th Edition
    • Martha L. Abell + 1 more
    • English
    Mathematica by Example, Fifth Edition is an essential desk reference for the beginning Mathematica user, providing step-by-step instructions on achieving results from this powerful software tool. The book fully accounts for the dramatic changes to functionality and visualization capabilities in the most recent version of Mathematica (10.4). It accommodates the full array of new extensions in the types of data and problems that Mathematica can immediately handle, including cloud services and systems, geographic and geometric computation, dynamic visualization, interactive applications and other improvements. It is an ideal text for scientific students, researchers and aspiring programmers seeking further understanding of Mathematica. Written by seasoned practitioners with a view to practical implementation and problem-solving, the book's pedagogy is delivered clearly and without jargon using representative biological, physical and engineering problems. Code is provided on an ancillary website to support the use of Mathematica across diverse applications.

  • Psychology of Learning and Motivation

    • 1st Edition
    • Volume 66
    • English
    Psychology of Learning and Motivation, Volume 66, the latest release in this longstanding series publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving. Each chapter thoughtfully integrates the writings of leading contributors who present and discuss significant bodies of research relevant to their discipline. Volume 66 includes chapters on such varied topics as prospective memory, metacognitive information processing, basic memory processes during reading, working memory capacity, attention, perception and memory, short-term memory, language processing, and causal reasoning.

  • Networks of Invasion: A Synthesis of Concepts

    • 1st Edition
    • Volume 56
    • English
    Networks of Invasion bridges a conceptual gap between ecological network studies and invasion biology studies. This book contains chapters detailing pressing concerns regarding invasive species in food webs, but also extends the idea of networks of invasion to other systems, such as mutualistic networks or even the human microbiome. Chapters describe the tools, models, and empirical methods adapted for tackling invasions in ecological networks.

  • The Partition Method for a Power Series Expansion

    Theory and Applications
    • 1st Edition
    • Victor Kowalenko
    • English
    The Partition Method for a Power Series Expansion: Theory and Applications explores how the method known as 'the partition method for a power series expansion', which was developed by the author, can be applied to a host of previously intractable problems in mathematics and physics. In particular, this book describes how the method can be used to determine the Bernoulli, cosecant, and reciprocal logarithm numbers, which appear as the coefficients of the resulting power series expansions, then also extending the method to more complicated situations where the coefficients become polynomials or mathematical functions. From these examples, a general theory for the method is presented, which enables a programming methodology to be established. Finally, the programming techniques of previous chapters are used to derive power series expansions for complex generating functions arising in the theory of partitions and in lattice models of statistical mechanics.

  • Applications of Mass Spectrometry Imaging to Cancer

    • 1st Edition
    • Volume 134
    • English
    Applications of Mass Spectrometry Imaging to Cancer, the latest volume in the Advances in Cancer Research provides invaluable information on the exciting and fast-moving field of cancer research. This volume presents original reviews on applications of mass spectrometry imaging to cancer.

  • Proteomics in Biology, Part A

    • 1st Edition
    • Volume 585
    • English
    Proteomics in Biology Part A, the latest volume in the Methods in Enzymology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field, and a focus on proteomics for this updated volume.

  • Insect-Plant Interactions in a Crop Protection Perspective

    • 1st Edition
    • Volume 81
    • English
    Insect-Plant Interactions, the latest edition in the Advances in Botanical Research series, which publishes in-depth and up-to-date reviews on a wide range of topics in the plant sciences, features several reviews by recognized experts on all aspects of plant genetics, biochemistry, cell biology, molecular biology, physiology, and ecology.

  • American Trypanosomiasis Chagas Disease

    One Hundred Years of Research
    • 2nd Edition
    • Jenny Telleria + 1 more
    • English
    American Trypanosomiasis, Chagas Disease: One Hundred Years of Research, Second Edition, provides a comprehensive overview of Chagas disease and discusses the latest discoveries concerning the three elements that compose the transmission chain of the disease, the host, the insect vectors, and the causative parasite. In addition, new insights on the molecular biology and diagnostics of Chagas diseases, the persistence of infections in the host, and the interaction of the parasite and host metabolism are now included in this new and updated edition.

  • Deep Learning for Medical Image Analysis

    • 1st Edition
    • S. Kevin Zhou + 2 more
    • English
    Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.

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