Twelve-month prevalence of DSM-5 mental disorders and the psychosocial correlates- a child and adolescent psychiatric epidemiologic survey in Hong Kong SARResearch in context by Sandra S.M. Chan, Oscar W.H. Wong, Samara Hussain, Kelvin K.F. Tsoi, Karen K.Y. Ma, Steven W.H. Chau, Suk Ling Ma, Kelly Y.C. Lai, Winnie C.W. Chu, Holly H.L. Lo, Stephy W.S. Ho, Ching Chi Leung, Karen K.L. Yiu, Suzanne H.W. So, Pak C. Sham, Se Fong Hung, Patrick W.L. Leung

“…Methods: A cross-sectional school-based epidemiologic survey was conducted on a representative random sample of children and adolescents aged 6–17 years from September 2019 to June 2023 in Hong Kong Special Administrative Region (Hong Kong SAR). …”
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In-hospital neonatal maternal separation as early-life stress and neurodevelopmental disorders: a cross-sectional and population-based study by Quan Zhou, Quan Zhou, Senrui Liang, Yanyan Sun, Jun Fan, Zaisheng Qin

“…Due to ethical constraints, population-based studies investigating neonatal maternal separation (NMS) as an early-life stress in children and adolescents are scarce.MethodsWe analyzed data from five cycles (1999–2000 to 2007–2008) of the National Health and Nutrition Examination Survey, focusing on participants aged 1–15 years. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…While in the medical research community, the issue of low prevalence is established, machine learning-based research in medicine often does not take into account a critical viewpoint of the prevalence in clinical settings of their methods. …”
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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

“…In the clinical domain, skin lesions such as melanoma detection are still a challenge due to occlusions, poor contrast, poor image quality, and similarities between skin lesions. Deep-/machine-learning methods are used for the early, accurate, and efficient detection of skin lesions. …”
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Quantitative research on aesthetic value of the world heritage karst based on UGC data: A case study of Huangguoshu Scenic Area. by Xi Zhao, Kangning Xiong, Meng Zhang

“…In the field of landscape evaluation, interdisciplinary and interdisciplinary cooperation using different methods has always been a research focus. However, there is still a gap in the evaluation of natural landscape aesthetic value based on UGC(User Generated Content) data and deep learning models. …”
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Who’s Who in Zoology: transversal application of gamification and new technologies in university teaching by Jaime Galan-Elvira, Pablo Palau-Irisarri

“…Moreover, a clear improvement in academic performance was observed, with higher average grades compared to previous years.DiscussionOur findings support gamification as a valuable tool in higher education, particularly in science-based courses. By aligning teaching methods with students’ expectations and cognitive habits, educators can improve both learning outcomes and classroom dynamics. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

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Instructor-Led VR training in medical emergency rescue education for road traffic accidents: a questionnaire-based study by Zhe Li, Guozheng Qiu, Wan Chen, Lei Shi, Yutao Tang, Guoqing Qin, Jingshu Mo, Liwen Lyu

“…Sentiment analysis of 227 qualitative responses indicated 70.67% expressed positive opinions, particularly on the engaging and practical aspects of the VR-based approach. …”
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Assessment strategy based on authentic assessment to identify high school students' ability in assessing drama texts and drama performances by Ece Sukmana, Asep Saeprokhman, Dedi Irawan

“…Drama learning plays an important role in training students to sharpen their expressive abilities in performing arts.  …”
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Integrating Generative and Contrastive Approaches for Human Action Recognition by Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

“…This study introduces a novel approach to unsupervised skeleton-based human action recognition by integrating generative and contrastive learning methods. …”
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Prediction model of axillary lymph node status using an automated breast volume ultrasound radiomics nomogram in early breast cancer with negative axillary ultrasound by Qianqing Ma, Qianqing Ma, Junli Wang, Zhengzheng Tu, Jingwen She, Jianhui Zhu, Feng Jiang, Chaoxue Zhang

“…The Nomo-score was calculated based on nomogram-model2 and nomogram-model3, revealing a positive correlation between ALN burden and Nomo-score. …”
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RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation by Huijun Wang, Xiaojing Du, Xinkun Hao

“…We further incorporate contrastive learning, identifying augmented data as positive or negative samples to evaluate similarity more effectively. …”
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GPS-based street-view greenspace exposure and wearable assessed physical activity in a prospective cohort of US women by Li Yi, Jaime E. Hart, Grete Wilt, Cindy R. Hu, Marcia Pescador Jimenez, Pi-I Debby Lin, Esra Suel, Perry Hystad, Steve Hankey, Wenwen Zhang, Jorge E. Chavarro, Francine Laden, Peter James

“…Methods We analyzed data from the US-based Nurses’ Health Study 3 Mobile Health Substudy (2018–2020). …”
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SAVL: Scene-Adaptive UAV Visual Localization Using Sparse Feature Extraction and Incremental Descriptor Mapping by Ganchao Liu, Zhengxi Li, Qiang Gao, Yuan Yuan

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Dual-level graph contrastive collaborative filtering by Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol

“…Abstract The latest research positions graph-based collaborative filtering as an effective strategy in recommendation systems, enabling the analysis of user preferences via user-item interaction graphs. …”
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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

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Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer by Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen

“…Bulk RNA-seq from the Cancer Genome Atlas Program (TCGA) dataset was subjected to a machine learning-based integrative procedure for constructing a consensus cell death-related signature risk score (CDRscore) model and validated by external data. …”
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Gamified Diagnostic Assessment Using Quizizz: Investigating Motivation and Perceptions of Indonesian ESL Students by Laili Inayatus Sholihah, Delsa Miranty

“…The study’s findings revealed that using Quizizz increased students' intrinsic motivation and positive perceptions of learning English. The students found learning English to be more enjoyable and engaging. …”
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Comprehensive analysis of SQOR involvement in ferroptosis resistance of pancreatic ductal adenocarcinoma in hypoxic environments by Quan Lin, Shiwei Guan, Minghui Peng, Kailun Zhang, Hewei Zhang, Taoming Mo, Haibo Yu

“…The objective of this study was to construct a deep learning model to evaluate the hypoxia characteristics of PDAC and to explore the role of Sulfide quinone oxidoreductase (SQOR) in hypoxia-mediated ferroptosis resistance.MethodsMulti-omics data were integrated to analyze the correlation between hypoxia score of PDAC, SQOR expression and prognosis, and ferroptosis resistance level. …”
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