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  1. 2661
    “…Using freely available computer science tools (Google Books Ngram Viewer), we offer an update to Maynard Smith’s analogy and explain how it might be developed into an exploratory and pedagogical device for understanding the basics of molecular evolution and, more specifically, the adaptive landscape concept. …”
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    A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution
  2. 2662
    “…Bio-inspired computing represents today a major challenge at different levels ranging from material science for the design of innovative devices and circuits to computer science for the understanding of the key features required for processing of natural data. …”
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    Interplay of multiple synaptic plasticity features in filamentary memristive devices for neuromorphic computing
  3. 2663
    por Ghorai, Ganesh, Pal, Madhumangal
    Publicado 2016
    “…The theory of graphs are very useful tool in solving the combinatorial problems in different areas of computer science and computational intelligence systems. …”
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    Some isomorphic properties of m-polar fuzzy graphs with applications
  4. 2664
    por Buckley, T. J., Rukkers, J. M.
    Publicado 1988
    “…A real-time, multi-tasking, general-purpose, data acquisition program is described. Computer science concepts important to the design of the program are explained. …”
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    A Computer Controlled Data Acquisition System for Combustion Calorimetric Experiments
  5. 2665
    “…Do mathematics ability beliefs explain gender gaps in the physical science, engineering, mathematics, and computer science fields (PEMC) and other science fields? …”
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    Gendered Pathways: How Mathematics Ability Beliefs Shape Secondary and Postsecondary Course and Degree Field Choices
  6. 2666
    “…Taylor Professor of Computer Science and Director of the NIH Center for Computational Mass Spectrometry at University of California, San Diego, has been selected as the winner of the 2017 Accomplishment by a Senior Scientist Award. …”
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    2017 ISCB Accomplishment by a Senior Scientist Award: Pavel Pevzner
  7. 2667
    “…Data collection, storage, analysis, visualization, and dissemination are changing rapidly due to advances in new technologies driven by computer science and universal access to the internet. …”
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    eButterfly: Leveraging Massive Online Citizen Science for Butterfly Conservation
  8. 2668
    “…In addition to providing a new set of low-density error-correcting codes that achieve Shannon’s noisy channel bound, these networks also efficiently solve a variant of the hidden clique problem in computer science, opening new avenues for real-world applications of computational models originating from biology.…”
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    Robust Exponential Memory in Hopfield Networks
  9. 2669
    “…Despite recent progress, the gender gap appears likely to persist for generations, particularly in surgery, computer science, physics, and maths. The gap is especially large in authorship positions associated with seniority, and prestigious journals have fewer women authors. …”
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    The gender gap in science: How long until women are equally represented?
  10. 2670
    “…With the increased development in research, innovation, and policy interest in recent years, biosynthetic technology has developed rapidly, which combines engineering, electronics, computer science, mathematics, and other disciplines based on classical genetic engineering and metabolic engineering. …”
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    Genetic tool development and systemic regulation in biosynthetic technology
  11. 2671
    “…In almost no other field of computer science, the idea of using bio-inspired search paradigms has been so useful as in solving multiobjective optimization problems. …”
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    A tutorial on multiobjective optimization: fundamentals and evolutionary methods
  12. 2672
    “…Based on the motion relearning program, rehabilitation technology, human anatomy, mechanics, computer science, robotics, and other fields of technology are covered. …”
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    Real-Time Evaluation of the Signal Processing of sEMG Used in Limb Exoskeleton Rehabilitation System
  13. 2673
    “…Furthermore, given that bioinformatics is a highly interdisciplinary field where several other domains intersect (such as biology, chemistry, physics and computer science), researchers from these areas also require bioinformatics-specific training in HPC, in order to fully take advantage of supercomputing centers. …”
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    Training bioinformaticians in High Performance Computing
  14. 2674
    por Stevens, Martin, Ruxton, Graeme D.
    Publicado 2018
    “…It attracted the attention of the earliest evolutionary biologists, and today remains a focus of investigation in areas ranging from evolutionary ecology, animal decision‐making, optimal strategies, visual psychology, computer science, to materials science. Most work focuses on the role of animal morphology per se, and its interactions with the background in affecting detection and recognition. …”
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    The key role of behaviour in animal camouflage
  15. 2675
    “…We extend the interpretation of the Principle of Mendelian randomization (PMR) and present MRPC, a novel machine learning algorithm that incorporates the PMR in the PC algorithm, a classical algorithm for learning causal graphs in computer science. MRPC learns a causal biological network efficiently and robustly from integrating individual-level genotype and molecular phenotype data, in which directed edges indicate causal directions. …”
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    Learning Causal Biological Networks With the Principle of Mendelian Randomization
  16. 2676
    por Shi, Yin, Li, Xiaoni
    Publicado 2019
    “…Also, the findings provide a comprehensive view of interdisciplinary research on bankruptcy modelling in finance, business management and computer science fields. The authors sought to contribute to the theoretical development of bankruptcy prediction modeling by bringing new knowledge and key insights. …”
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    A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms
  17. 2677
    “…Computational social scientists from computer science and physics often see as their main task to establish empirical regularities which they view as “social laws.” …”
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    Analytical sociology and computational social science
  18. 2678
    por Tong, Joo Chuan, Ren, Ee Chee
    Publicado 2009
    “…Immunomics, which combines traditional immunology with computer science, mathematics, chemistry, biochemistry, genomics and proteomics for the large-scale analysis of immune system function, offers new opportunities for future bench-to-bedside research. …”
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    Immunoinformatics: Current trends and future directions
  19. 2679
    por Johnson, Angela, Elliott, Samantha
    Publicado 2020
    “…We define each component and describe what it looks like and how it can be used to guide departmental transformation, including examples in biology, physics, mathematics, and computer science departments at our own institution. This model can help guide faculty committed to creating departments where all kinds of STEM students can thrive, provided they are willing to work hard.…”
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    Culturally Relevant Pedagogy: A Model To Guide Cultural Transformation in STEM Departments
  20. 2680
    por Uda, Shinsuke
    Publicado 2020
    “…The quantification of information, as described by Shannon’s information theory, is a basic and powerful tool that can be applied to various fields, such as communication, statistics, and computer science, as well as to information processing within cells. …”
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    Application of information theory in systems biology
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