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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
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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Immunostimulatory Effects of Guanine-Quadruplex Topologies as Scaffolds for CpG Oligodeoxynucleotides
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Low Citrate Synthase Activity Is Associated with Glucose Intolerance and Lipotoxicity
Published 2019-01-01Get full text
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Deep Learning for Obstructive Sleep Apnea Detection and Severity Assessment: A Multimodal Signals Fusion Multiscale Transformer Model
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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ISMIP6-based Antarctic projections to 2100: simulations with the BISICLES ice sheet model
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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016
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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Diagnostic delay of myositis: protocol for an integrated systematic review
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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
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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Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware
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