Showing 62,841 - 62,860 results of 67,164 for search '"school"', query time: 0.27s Refine Results
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    Evaluating the Impact of Preclinical and Clinical Exposure to the Pediatric Pulpotomy Procedure on Confidence Among Senior Dental Students: An Analytical Survey Study by Alzain I, Albqmi SS, Alkatheeri SM

    Published 2025-01-01
    “…The target sample was senior dental students enrolled at a governmental dental school during the 2023– 2024 academic year, which were 369 students who were recruited for this study. …”
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    Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model by Zhang Y, Zhou L, Zhu S, Zhou Y, Wang Z, Ma L, Yuan Y, Xie Y, Niu X, Su Y, Liu H, Hei X, Shi Z, Ren X, Shi Y

    Published 2025-01-01
    “…Yitong Zhang,1 Liang Zhou,2 Simin Zhu,1 Yanuo Zhou,1 Zitong Wang,1 Lina Ma,1 Yuqi Yuan,1 Yushan Xie,1 Xiaoxin Niu,1 Yonglong Su,1 Haiqin Liu,1 Xinhong Hei,2 Zhenghao Shi,2 Xiaoyong Ren,1 Yewen Shi1 1Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, People’s Republic of China; 2School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, Shaanxi Province, People’s Republic of ChinaCorrespondence: Xiaoyong Ren; Yewen Shi, Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi’an Jiaotong University, Address: NO. 157 Xi Wu Road, Xi’an, Shaanxi Province, Email cor_renxiaoyong@126.com; shiyewen59@outlook.comPurpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO2) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. …”
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    Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

    Published 2025-01-01
    “…The online deployment of the model allows for practical use in community and school settings, promoting early intervention and public health improvement.…”
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    The Association Between Internet Addiction and the Risk of Suicide Attempts in Chinese Adolescents Aged 11-17 Years: Prospective Cohort Study by Sihong Li, Xingyue Jin, Lintong Song, Tianqing Fan, Yanmei Shen, Jiansong Zhou

    Published 2025-01-01
    “…MethodsA total of 782 adolescents were recruited from a middle school from November 2020 to December 2020 and followed up for 6 months. …”
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