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  1. 261

    Socio-demographic characteristics and behavioral risk factors of the Vladimir region population by M. N. Mamedov, L. T. Sushkova, R. V. Isakov, V. A. Kutsenko, O. M. Drapkina

    Published 2023-12-01
    “…To analyze socio-demographic characteristics and the prevalence of behavioral risk factors in the adult population of the Vladimir region, taking into account sex characteristics.Material and methods. This cross-sectional population-based study was organized in 5 cities of the Vladimir region (Vladimir, Kovrov, Murom, Yuryev-Polsky and Vyazniki) from May 2018 to March 2020. …”
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  2. 262

    Need for the Development of Dialectical Thinking in Pharmaceutical Personnel to Improve Their Performance in the Pharmacovigilance System by A. E. Krasheninnikov, B. K. Romanov, R. S. Safiullin, N. V. Shestakov

    Published 2022-10-01
    “…Pharmacy personnel may be not prepared to collect information on adverse reactions associated with the use of medicinal products and submit it to regulatory authorities. …”
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    Article
  3. 263

    Factors Influencing the Adoption of Artificial Intelligence Among Medical and Dental Students: A Cross-Sectional Study at the University of Jordan by Abdallat M, AlSamhori JF, AlSamhori ARF, Kawwa MJ, Labadi SH, AlSamhori AF, Shnekat HH, Abdallat S, Murshidi R

    Published 2025-06-01
    “…Therefore, the goal of this study is to examine the variables affecting attitudes, awareness, and comprehension of AI.Methods: A cross-sectional investigation between November 2022 and March 2023 was performed. …”
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  4. 264

    The Association of Body Composition and Musculoskeletal Characteristics with Police Recruit Performance: A Cross-Sectional Study by Vanessa R. Sutton, Myles C. Murphy, Callum J. McCaskie, Paola T. Chivers, Nicolas H. Hart, Jodie L. Cochrane Wilkie, Garth Allen, Jack Dalla Via

    Published 2025-04-01
    “…We explored if body composition and musculoskeletal characteristics were associated with tactical and cardiorespiratory performance. <b>Methods</b>: A cross-sectional study of police recruits within the Western Australia Police Force was performed. …”
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  5. 265

    Automated segmentation of thoracic aortic lumen and vessel wall on three-dimensional bright- and black-blood magnetic resonance imaging using nnU-Net by Matteo Cesario, Simon J. Littlewood, James Nadel, Thomas J. Fletcher, Anastasia Fotaki, Carlos Castillo-Passi, Reza Hajhosseiny, Jim Pouliopoulos, Andrew Jabbour, Ruperto Olivero, Jose Rodríguez-Palomares, M. Eline Kooi, Claudia Prieto, René M. Botnar

    Published 2025-01-01
    “…Methods: Manual segmentation, serving as the ground truth, was performed on 25 bright-blood and 15 black-blood 3D MRA image sets acquired with the iT2PrepIR-BOOST sequence (1.5T) in thoracic aortopathy patients. …”
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