Search Results - (method OR methods)s of variable preparation

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  1. 261

    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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  2. 262
  3. 263

    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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  4. 264

    Formulation of zein nanoparticles for augmenting the anti-inflammatory activity of dexketoprofen by Mahmoud A. El Hassab, Mona H. Ibrahim, Sherif S. Abdel Mageed, Abdulla M. A. Mahmoud, Zainab Sabry Othman Ahmed, Zainab Sabry Othman Ahmed, Shaimaa Mosallam, Manar Adel Abdelbari, Eman F. Khaleel, Maram A. El Hasab, Asmaa Elsayyad, Asmaa Elsayyad, Shady Allam, Shady Allam, Moaz A. Eltabeeb, Ahmed T. Negmeldin, Ahmed T. Negmeldin, Wagdy M. Eldehna, Rofida Albash

    Published 2025-07-01
    “…This study focuses on improving the anti-inflammatory activity of Dexketoprofen by developing zein nanoparticles (ZNs) as a novel topical carrier system, aiming to optimize drug delivery and patient outcomes.MethodsDexketoprofen-loaded ZNs were prepared using an ethanol injection technique and optimized via a 23 full factorial design. …”
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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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