Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment [0.03%]
职业教育中人工智能生成的教学大纲设计的评估：无AI诊断评估的证据
Zheng Liu
Zheng Liu
This study examines how vocational students evaluate AI-generated curriculum designs after using generative artificial intelligence to support course-planning tasks. It reports an interpretive single-case study of a Study Tour Curriculum De...
Evaluating AI-generated curriculum designs in vocational education: Evidence from a No-AI diagnostic assessment [0.03%]
职业教育中人工智能生成的教学大纲设计的评估：来自无AI诊断评估的证据
Zheng Liu
Zheng Liu
This study examines how vocational students evaluate AI-generated curriculum designs after using generative artificial intelligence to support course-planning tasks. It reports an interpretive single-case study of a Study Tour Curriculum De...
Risk prediction models for inadequate bowel preparation before colonoscopy: A systematic review and meta-analysis [0.03%]
结肠镜检查前肠道准备不足的风险预测模型：系统回顾和Meta分析
Hui-Ling Yan,Jia-Yu Fu,Mao-Ting Huang et al.
Hui-Ling Yan et al.
Background: Inadequate bowel preparation (IBP) can impair the safety, efficiency, and diagnostic accuracy of colonoscopy. Numerous multivariable prediction models have been developed to identify patients at high risk of I...
Meta-Analysis
PloS one. 2026 Aug 14;21(8):e0356009. DOI:10.1371/journal.pone.0356009 2026
Risk prediction models for inadequate bowel preparation before colonoscopy: A systematic review and meta-analysis [0.03%]
结肠镜检查前肠道准备不足的预测模型系统评价和 Meta 分析
Hui-Ling Yan,Jia-Yu Fu,Mao-Ting Huang et al.
Hui-Ling Yan et al.
Background: Inadequate bowel preparation (IBP) can impair the safety, efficiency, and diagnostic accuracy of colonoscopy. Numerous multivariable prediction models have been developed to identify patients at high risk of I...
Meta-Analysis
PloS one. 2026 Aug 14;21(8):e0356009. DOI:10.1371/journal.pone.0356009 2026
Violence exposure among adolescent psychiatric patients in Nepal: Socio-demographic and familial risk factors [0.03%]
尼泊尔青少年精神病患者暴力暴露的社会人口学和家庭危险因素
Rampukar Sah,Per Håkan Brøndbo,Bjørn Helge Handegård et al.
Rampukar Sah et al.
Background: Violence exposure is a major public health concern among adolescents. Yet, evidence on socio-demographic and familial risk factors in adolescent psychiatric populations in Nepal and other low- and middle-incom...
Study on the relationship between soil aggregate size, electrical conductivity, organic carbon, and nutrient availability in highway slopes in alpine regions [0.03%]
高寒地区高速公路路堑边坡土壤团聚体电导率、有机碳及养分有效性的研究
Mengke Zhu,Bocong Huang,Yingwei Ai et al.
Mengke Zhu et al.
This study investigated the soil aggregate distribution on highway slopes in the alpine region of western Sichuan, China. The proportion of >5 mm aggregates was significantly higher than that of other size fractions (P < 0.05), whereas the ...
A chemically optimized, GalNAc-conjugated siRNA targeting HSD17B13 demonstrates efficacy in a human 3D organoid model of MASH, showcasing an alternative to animal testing [0.03%]
一种化学优化的、带有GalNAc连接物的siRNA靶向HSD17B13，在人3D类器官模型中显示出对MASH有效的治疗效果，为替代动物试验提供了一种新方法
Qin Meng,Xujia Wang,Yuxuan Zhang et al.
Qin Meng et al.
Introduction: Animal models have limited ability to predict human metabolically dysfunction-associated steatohepatitis (MASH), creating a major obstacle in drug development. To address this challenge, we introduce an inte...
Danielle Barth,Nicholas Evans,Andrea C Schalley et al.
Danielle Barth et al.
Is it true that 'grammars code best what speakers do most', as Du Bois suggested already in 1985? And do members of different cultures privilege talk about kinship relations to differing degrees? Could this be linked to the differential cen...
Seasonal differences in depressive affect, worry-related sleep disturbance, and low energy among UK young people [0.03%]
英国年轻人抑郁、与担忧有关的睡眠障碍和低活力的季节性差异
Xu Guan,Qi Ding,Yanzhi Li
Xu Guan
Seasonal differences in young people's mental health may be concentrated in specific symptoms. This population-based repeated cross-sectional study examined winter-non-winter differences in depressive affect, worry-related sleep disturbance...
Contrastive representation learning for self-supervised deception detection in edge LLMs [0.03%]
对比表示学习在边缘LLM中自监督欺骗检测中的应用
Feng An,Wenyin Tao
Feng An
Existing deceptive alignment detection schemes generally follow a three-step strategy: auto-labeling, supervised fine-tuning (SFT), and proximal policy optimization (PPO). In which, the detection is treated as a simple binary classification...