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  1. 16081

    Completeness of the Dynamics of the Attributes Values of Data in the Database DIM by A. N. Petrov, V. S. Roublev

    Published 2015-04-01
    “…To minimize the dependence from concrete language constructions, which describe OD-model algorithmic procedures, the reduction to the universal form – Turing machine is performed. …”
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    Article
  2. 16082

    Transactional configuration of innovative development of business ecosystem by E. V. Popov, A. D. Tikhonova, A. S. Zyrianov

    Published 2024-12-01
    “…This algorithm has been tested in the ENSONS company, serving as a testing ground for the research. …”
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    Article
  3. 16083

    Improving Freight Traffic Efficiency at Urban Intersections Using Heavy Vehicle Platooning by Mohammad D. Alahmadi, Ahmed S. Alzahrani

    Published 2025-03-01
    “…This study develops a platoon-based signal-optimization algorithm to reduce delays, minimize stops, and enhance traffic flow at intersections. …”
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    Article
  4. 16084
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  6. 16086

    Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

    Published 2025-01-01
    “…The interpretability of machine learning reveals associations between input features and predicted physical properties in models, which are essential for discovering new materials. …”
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    Article
  7. 16087
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    AI for rapid identification of major butyrate-producing bacteria in rhesus macaques (Macaca mulatta) by Annemiek Maaskant, Donghyeok Lee, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A. M. Langermans, Evgeni Levin

    Published 2025-04-01
    “…In addition, to improve transparency, we employed explainability analysis to uncover the image features influencing the model’s predictions. Results By integrating fecal image data with corresponding metagenomic sequencing information, the deep learning (DL) and machine learning (ML) algorithms successfully predicted 16 individual bacterial genera (area under the curve (AUC) > 0.7) among the 50 most abundant genera in rhesus macaques (Macaca mulatta). …”
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  10. 16090
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  13. 16093

    The prognostic significance of epoxide hydrolases in colorectal cancer by Lichao Cao, Ying Ba, Fang Chen, Dandan Li, Shenrui Zhang, Hezi Zhang

    Published 2025-03-01
    “…EPHX2 and EPHX4 were diagnostic and predictive biomarkers for CRC. EPHX4 promoted the malignant phenotype of CRC cells. …”
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  14. 16094

    ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

    Published 2025-06-01
    “…On the other hand, the growing reliance on AI raises serious concerns related to academic integrity, data privacy, algorithmic bias, and the potential deskilling of educators. …”
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    Article
  15. 16095

    A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

    Published 2025-08-01
    “…Finally, comparative prediction experiments are carried out to validate the proposed MGResNet. …”
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    Article
  16. 16096

    The Effect of Hemoadsorption with CytoSorb on Severe COVID-19 Complications by A. S. Rybalko, S. N. Galkina, A. S. Saryglar, A. V. Voronin, M. I. Rezyapova, N. I. Chaus, S. N. Perekhodov, N. A. Karpun

    Published 2024-09-01
    “…The use of hemoadsorption with CytoSorb as a pathogenetic therapy targeting the hyperinflammatory response in the management algorithm of ICU patients with severe COVID-19 complications resulted in resolution of the inflammatory response and respiratory failure, as well as a significant reduction in mortality.…”
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  17. 16097
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  19. 16099

    Antithrombotic Therapy in Patients with Malignant Lymphoproliferative Disorders Treated with Ibrutinib by EI Emelina, GE Gendlin, IG Nikitin

    Published 2019-09-01
    “…Hemorrhagic manifestations which were the reason of anticoagulant dose reduction emerged in 4 patients, and 3 patients required another anticoagulant for the same reason. …”
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  20. 16100

    Experimental validation of the analytical modelling of a digitally created duffing acoustic nonlinear oscillator at low amplitudes by Morell Maxime, Collet Manuel, Gourdon Emmanuel, Ture Savadkoohi Alireza, De Bono Emanuele

    Published 2025-01-01
    “…The experimental implementation is done using a real-time-based algorithm retrieving the measured pressure from a microphone and giving the electrical current to send to a loudspeaker as an output thanks to a Runge-Kutta-like algorithm. …”
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