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    Drug Therapy Structure and Clinical Characteristics of Patients with Atrial Fibrillation According to Data of REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

    Published 2018-11-01
    “…In the framework of the database of patients with atrial fibrillation established in the Kursk region, to study the clinical and anamnestic indicators, the structure of the combined and concomitant diseases in the patients under study, and also to evaluate the usefulness of the diagnostic methods of the study and drug therapy of this pathology.Material and methods. …”
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    Article
  5. 485

    Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

    Published 2025-04-01
    “…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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    Article
  6. 486

    Hierarchical Information-Extreme Machine Learning of Hand Prosthesis Control System Based on Decursive Data Structure by Anatolii Dovbysh, Vladyslav Piatachenko, Mykyta Myronenko, Mykyta Suprunenko, Julius Simonovskiy

    Published 2024-11-01
    “…The distinctiveness of the developed method from known machine learning methods was in applying a hierarchical data structure as a decursive binary tree, which allowed for transitioning from multi-class machine learning to two-class learning for each stratum of the decursive tree. …”
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  7. 487

    SREDNEKEDROVAYA PALEOSEISMODISLOCATION IN THE BAIKAL RIDGE: ITS STRUCTURE AND THROWS ESTIMATED FROM GROUND‐PENETRATING RADAR DATA by O. V. Lunina, A. S. Gladkov, A. A. Gladkov, I. A. Denisenko

    Published 2018-07-01
    “…Our study aimed to clarify the seismic potential of the Severobaikalsk fault and to discover the structural features of active faults on the NW shores of Lake Baikal. …”
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    Experimental data of structural tests on non-continuously stiffened steel panels subjected to uniform compressionrearchdata UIBK. by Immo Lukas, Ralph Timmers, Melanie Ropele, Robert Lang

    Published 2025-06-01
    “…This data article presents experimental datasets from structural tests of 20 open-section and 30 closed-section non-continuously stiffened steel panels subjected to uniform compression. …”
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  10. 490

    Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis by Saif Agha, Eric Psota, Simon P. Turner, Craig R. G. Lewis, Juan Pedro Steibel, Andrea Doeschl-Wilson

    Published 2025-03-01
    “…This proof-of-concept study addresses, for the first time, the hypothesis that applying social network analysis (SNA) on AI-automated monitoring data could potentially facilitate the analysis of social structures of farm animals. …”
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    Article
  11. 491

    No association between age-related hearing loss and brain age derived from structural neuroimaging data by Stephanie Rosemann, Christiane M. Thiel

    Published 2021-06-01
    “…We used structural neuroimaging data from a large sample of elderly subjects (n = 169) with mild to moderate untreated age-related hearing loss or normal hearing. …”
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  12. 492

    Qualitative and quantitative interpretations of high-resolution aeromagnetic data of Saki-East area, for basement and structural framework by E. O. Adeniyi, L. A. Sunmonu, Olagoke Peter Oladejo, Charles Olubunmi ogunkoya, O. M. Adedokun, K. N. Alao

    Published 2024-11-01
    “…The aeromagnetic data of the study area consisting of Igboho data sheet 200 and Lechilaku sheet 221 were processed using Oasis Montaj software and interpreted for mapping basement and structural stability in the area. …”
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    Geological structure identification in geothermal manifestation of Lamongan Volcano Complex: A magnetic data analysis approach by Ulumuddin Faqih, Fajar Miftakhul Haris M., Warnana Dwa Desa, Rafi Muhammad Erfand Dzulfiqar, Rahayu K Helda usuma

    Published 2024-01-01
    “…However, the identification of geo - thermal manifestations in this location is limited, so magnetic data can help identify subsurface geological structures to confirm the geo thermal potential in this area. …”
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  20. 500

    Fractal Characteristics of the Auroral Oval Structure According to the All-Sky Camera Data in Apatity for 2013–2020 by Kozelov Boris

    Published 2025-04-01
    “…The spatial structure of polar auroras is described by the fractal dimension of glow fluctuations and its anisotropy from direction. …”
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