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    Stages of university digital transformation in studies of foreign researchers by Elena N. Belova, Ekaterina Y. Andryushkina

    Published 2023-12-01
    “…As a significant part of University 4.0 strategy, digital transformation is currently unfolding along with the trends of internationalization and export of education. …”
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  13. 573

    Artificial neural network with incompressible smoothed particle hydrodynamics for exothermic chemical reaction on heat and mass transfer in a rectangular annulus by Alaa Allakany, Noura Alsedias, Abdelraheem M. Aly

    Published 2025-01-01
    “…The results described the impacts of dimensionless Frank-Kamenetskii number (Fk = 0–1), Darcy number (Da = 10−2–10−5), Dufour number (Du = 00.1), buoyancy ratio (N = − 2 to 5), Rayleigh number (Ra = 103–106), Lewis number (Le = 1–20), Soret number (Sr = 00.2), fusion temperature (θ f  = 0.05–0.9), and fractional order parameter (α = 0.9–1) on thermosolutal convection of a suspension. …”
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    DESIGN OF QUEUE SYSTEMS IN TELECOMUNICATION and INFORMATION INDUSTRY USING FLEXIM 6.0 SIMULATION METHOD by Sulton Nur Hakim, Andika Julianto Putra, Sri Indrawati

    Published 2020-12-01
    “…The purpose of this research is to know the appropriate queue simulation model using flexim 6.0 so that waiting time at Plasa can be minimized. …”
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  18. 578

    Every little helps: exploring meat and animal product consumption in the Tesco 1.0 dataset by Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann

    Published 2023-09-01
    “…While social scientists have increasingly focused on meat reduction and the promotion of meat alternatives in recent years, and have identified a number of regional, seasonal, and sociodemographic variations in consumption, empirical work is often based on self-reported data. …”
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  19. 579

    Beyond 0-1: The 1-N Principle and Fast Validation of N-Sorter Sorting Networks by Robert B. Kent, Marios S. Pattichis

    Published 2023-01-01
    “…The well-known 0&#x2013;1 principle for traditional data-oblivious sorting networks states that a network with L inputs can be fully validated with an input vector set consisting of all <inline-formula> <tex-math notation="LaTeX">$2^{L}$ </tex-math></inline-formula> unique vectors containing only the values 0 and 1 in each vector&#x2019;s L inputs. …”
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    Individual morphostructural components of yield in black currant cultivars by O. A. Tikhonova

    Published 2020-04-01
    “…Correlations between separate morphostructural yield components were identified, such as: fruit weight – fruit diameter (r = 0.92); fruit weight – number of seeds (r = 0.74); bunch length – number of flowers per bunch (r = 0.65), bunch length – number of berries per bunch (r = 0.52).…”
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