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  1. 4821
    por Pohjolainen, Seppo
    Publicado 2016
    “…Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sciences, or engineering. In keeping with this spirit of modelling, the book includes a wealth of cross-references between the chapters and frequently points to the real-world context. …”
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  2. 4822
    por Brémaud, Pierre
    Publicado 2017
    “…Although the examples treated in the book relate to the possible applications, in the communication and computing sciences, in operations research and in physics, this book is in the first instance concerned with theory. …”
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  3. 4823
    por Evans, Meirin Oan
    Publicado 2018
    “…The relatively large number and heterogeneous use cases currently documented is driving an upcoming release of more data and resources for the ATLAS Community and anyone interested to explore the world of experimental particle physics and the computer sciences through data analysis.…”
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  4. 4824
    por Seeman, Nadrian C
    Publicado 2015
    “…Ideal for advanced undergraduate and graduate students, as well as researchers in a range of disciplines including nanotechnology, materials science, physics, biology, chemistry, computational science and engineering.…”
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  5. 4825
    por Ortiz-Posadas, Martha
    Publicado 2020
    “…Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.…”
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  6. 4826
    por Counsell, Damian
    Publicado 2002
    “…Although the meeting was not a typical academic conference, its style will, I am sure, become more typical of meetings in both biological and computational sciences. Speakers at the event included prominent bioinformatics researchers such as Ewan Birney, Terry Gaasterland and Lincoln Stein; authors and leaders in the open source programming community like Damian Conway and Nat Torkington; and representatives from several publishing companies including the Nature Publishing Group, Current Science Group and the President of O’Reilly himself, Tim O’Reilly. …”
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  7. 4827
    “…Since then, the concepts and ideas developed in Shannon’s work have formed the basis of information theory, a cornerstone of statistical learning and inference, and has been playing a key role in disciplines such as physics and thermodynamics, probability and statistics, computational sciences and biological sciences. In this article we review the basic information theory based concepts and describe their key applications in multiple major areas of research in computational biology—gene expression and transcriptomics, alignment-free sequence comparison, sequencing and error correction, genome-wide disease-gene association mapping, metabolic networks and metabolomics, and protein sequence, structure and interaction analysis.…”
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  8. 4828
    “…Advances in Imaging Devices and Image processing stem from cross-fertilization between many fields of research such as Chemistry, Physics, Mathematics and Computer Sciences. This BioImaging Community feel the urge to integrate more intensively its various results, discoveries and innovation into ready to use tools that can address all the new exciting challenges that Life Scientists (Biologists, Medical doctors, ...) keep providing, almost on a daily basis. …”
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  9. 4829
    por Sun, Jian-Qiao, Luo, Albert
    Publicado 2012
    “…This book also: Presents recent developments in global analysis of non-linear dynamical systems Provides in-depth considerations and extensions of cell mapping methods Adopts an inclusive style accessible to non-specialists and graduate students Global Analysis of Nonlinear Dynamics is an ideal reference for the community of nonlinear dynamics in different disciplines including engineering, applied mathematics, meteorology, life science, computational science, and medicine.  …”
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  10. 4830
    por Zhong, Zhicai
    Publicado 2013
    “…Information engineering is an important underpinning for techniques used in information and computational science and there are many unresolved problems worth studying. …”
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  11. 4831
    por Leimkuhler, Ben, Matthews, Charles
    Publicado 2015
    “…Molecular dynamics is one of the most versatile and powerful methods of modern computational science and engineering and is used widely in chemistry, physics, materials science and biology. …”
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  12. 4832
    por Collective
    Publicado 2015
    “…Big Data is everywhere – from Computational Science to Digital Humanities, from Web Analytics to traditional libraries. …”
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  13. 4833
    “…The development of new methods is intrinsically driven by new knowledge emanating from fundamental research in toxicology, carcinogenesis, molecular biology, biochemistry, computer sciences, and a host of other disciplines. Critical evaluations and strong scientific consensus are essential to facilitate adoption of alternative methods for use in the safety assessment of drugs, chemicals, and other environmental factors. …”
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  14. 4834
    “…Ontologies are a concept imported from computing science to describe different conceptual frameworks that guide the collection, organization and publication of biological data. …”
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  15. 4835
    por Bouhmala, Noureddine
    Publicado 2014
    “…The simplicity of the maximum satisfiability problem (MAX-SAT) combined with its applicability in many areas of artificial intelligence and computing science made it one of the fundamental optimization problems. …”
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  16. 4836
    “…Here, we provide background on what is data integration from a computational science point of view, how it has been applied to biological research, which key aspects contributed to its success and future directions.…”
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  17. 4837
  18. 4838
    “…To address this challenge, the microbiology course at Wofford College has incorporated a sequence of three or four laboratories on modeling the spread of disease. Emphasis in Computational Science students who have studied modeling and simulation in depth serve as laboratory assistants and mentors. …”
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  19. 4839
    “…This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico’.…”
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  20. 4840
    “…One approach currently being used is an interdisciplinary team approach comprised of researchers representing gerontology, information systems, robotics, health sciences, sociology, and computer sciences between two universities in the United States and two Japanese universities. …”
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