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  1. 18601

    Care for Pediatric Patellofemoral Instability Prior to Orthopaedic Referral by Emily Qian, MS, Ally A. Yang, MD, Halle Freiman, MD, MS, Corinna Franklin, MD

    Published 2025-05-01
    “…Key Concepts: (1) Identifying clinician groups referring to orthopaedic practices for pediatric patellofemoral instability (PFI) events. (2) Describing evaluations and treatments pursued by clinicians for pediatric PFI events prior to orthopaedic referral. (3) Algorithm-based approaches are more adherent to current proposed pediatric PFI management guidelines. (4) Education of referring clinicians may help to improve surgical outcomes. …”
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  2. 18602
  3. 18603

    Current status and influencing factors of pelvic floor muscle training adherence in rectal cancer patients with prophylactic ostomy by LIU Na, PI Hongying, GAO Na

    Published 2025-07-01
    “…Results‍ ‍The overall PFMT adherence score was 14.52±4.18 among the 247 patients. The random forest algorithm identified 7 key predictors when the minimum error was achieved at a λ value of 2.293. …”
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  7. 18607

    Study and application of the energy unit cutting theory and punching-blasting synergy permeability enhancement technology in tectonic anomaly areas of coal mines by Jingyu JIANG, Xiaobin DONG, Mintao WEI, Chenghao WANG, Yuanping CHENG, Xiaoning SHI

    Published 2025-05-01
    “…This paper combined theoretical analysis, numerical simulation, and field experiments, this study investigated the principles of energy reduction and outburst prevention using combined punching and controlled energy-accumulating blasting measures. …”
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  8. 18608

    Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

    Published 2025-01-01
    “…Occlusion leads to a sharp reduction in the visible range of targets and a substantial loss of pedestrian features, making it difficult for detectors to distinguish between targets and pedestrians effectively. …”
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  9. 18609

    Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care by Eleanor Roy, Sara Malafa, Lina M. Adwer, Houda Tabache, Tanishqa Sheth, Vasudha Mishra, Moaz Elsayed Abouelmagd, Andrea Cushieri, Sajjad Ahmed Khan, Mihnea-Alexandru Gaman, Juan C. Puyana, Francisco Javier Bonilla-Escobar

    Published 2025-03-01
    “…Additionally, concerns about data ownership, consent, and commercial use of patient information demand renewed attention to privacy and transparency. Medical education must evolve to prepare future clinicians to engage with AI critically and ethically. …”
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  10. 18610
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  12. 18612

    Digital Intelligence Pathology Platform and Its Service Pattern by Xiaohong Chen, Liu Liu, Yajua Niu, Xiaoliang Liu, Xiaohai Li, Jianhua Zhou, Junpu Wang

    Published 2025-04-01
    “…Furthermore, the study explores prospective application scenarios for digital intelligence pathology platforms, spanning diagnostic services, multidisciplinary consultations, medical education, scientific research, and quality control. …”
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  13. 18613
  14. 18614

    Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

    Published 2023-06-01
    “…L’objectif de l’étude était d’évaluer les effets de l’implémentation d’un algorithme de la sédation sur la durée de ventilation mécanique. …”
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  15. 18615

    Impact de l’évaluation de la sédation sur la durée de ventilation mécanique en réanimation pédiatrique [Impact of sedation assessment on duration of mechanical ventilation in pedia... by Zakaria Zoheir Addou, Nabil Tabet Aoul, Abdessamad DALI ALI Dali-Ali

    Published 2023-06-01
    “…L’objectif de l’étude était d’évaluer les effets de l’implémentation d’un algorithme de la sédation sur la durée de ventilation mécanique. …”
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  16. 18616

    Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

    Published 2024-01-01
    “…This low deviation means that the proposed CGAN REM model possesses an improved accuracy in predicting the spectrum activities within the television spectrum which is considered appropriate for DSS technology. …”
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  17. 18617

    Non-Luminal Disease Score for Everolimus in Patients with Hormone Receptor‑positive and Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer: A Mult... by Tan Y, Jiang H, Tian X, Ma F, Wang J, Zhang P, Xu B, Fan Y, Zhao W

    Published 2025-01-01
    “…Yujing Tan,1,* Hanfang Jiang,2,* Xinzhu Tian,1,* Fei Ma,1 Jiayu Wang,1 Pin Zhang,1 Binghe Xu,1 Ying Fan,1 Weihong Zhao3 1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, People’s Republic of China; 2Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, People’s Republic of China; 3Department of Medical Oncology, Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Fan; Weihong Zhao, Email fanying@cicams.ac.cn; zhaowh0818@163.comPurpose: This study aims to explore the role of the non-luminal disease score (NOLUS) for everolimus in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (ABC).Methods: NOLUS has previously been established as an algorithm: NOLUS (0– 100) = − 0.45 × ER(%) − 0.28 × PR(%) + 0.27 × Ki67(%) + 73. …”
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    Instagram's impact on dental consumers: analyzing toothpaste hashtags by Khalifa S. Al-Khalifa, Rasha AlSheikh, Basmah O. Alakloby, Hind M. Alharbi, Razan F. Alghamdi, Saqib Ali, Laila Al Dehailan

    Published 2025-01-01
    “…Posts were predominantly promotional (61.1%) compared to educational (38.9%), with marketing being the primary theme. …”
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