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    Opportunities of Digitalization of Economic Subjects in Educational Process by L. N. Babkina, O. V. Skotarenko

    Published 2018-11-01
    “…The main objectives of training in other disciplines, and especially management and economic complex is the application, consolidation and increase of knowledge, skills of digital technologies in the preparation of course work, final qualifying work, during research work as students in bachelor’s and master’s degree, and in graduate school. …”
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    Expert Study of Issues Related to the Calculation and Payment of Wages and Other Payments Established by Law: Guidelines by М. М. Vinogradova, N. N. Bondar’

    Published 2022-04-01
    “…The right to receive fair wages is guaranteed by the state. The protection and restoration of violated rights are entrusted to various state structures, including investigative and judicial authorities. …”
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    Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

    Published 2025-01-01
    “…Despite a long history of research and achievements in designing sorting routines, new hardware features and application requirements pose advanced challenges that computer scientists are recently tackling through novel data-aware (learned) algorithms. …”
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    CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

    Published 2018-01-01
    “…Cerebral oxymetry is one of the monitoring techniques aimed at the early detection of changes in the brain state. Currently it is being actively introduced into practice, management algorithms for cerebral oxygenation disorders are being developed basing on it, including the ones for cardiac surgeries. …”
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    Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

    Published 2025-04-01
    “…The main contribution of this work is to demonstrate that the new framework using LTAS significantly reduces the number of parameters down to 87.5 values per s (approximately), as opposed to the 1,200 values used in the best-performing state-of-the-art alternatives; this means that the process of feature extraction is significantly reduced and the performance in terms of correct classification is improved.…”
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