Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety by Olly Kravchenko, Julia Bäckman, David Mataix-Cols, James J. Crowley, Matthew Halvorsen, Patrick F. Sullivan, John Wallert, Christian Rück

“…Conclusions The findings suggest that a model incorporating a broad array of multimodal data offered a modest improvement in explanatory power compared to one using a limited set of easily accessible measures. …”
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The relationship between the academic self-efficacy and perceived stressors among nursing students in clinical settings: a cross-sectional study by Esma Ozsaker, Zuleyha Aykut, Nihal Celikturk Doruker, Burcak Sahin Koze, Sinem Gecit

“…A personal information form, the Academic Nurse Self-Efficacy Scale (ANSES), and the Nursing Students’ Perceptions of Clinical Stressors Scale (NSPCSS) were used to collect data. Descriptive statistics, Mann-Whitney U test, Kruskal-Wallis test, and Spearman correlation analysis were used to analyse the data. …”
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Effect of an Online Mobility Self-Management Program on Walking Speed in Older Adults With Preclinical Mobility Limitation: Protocol for a Randomized Controlled Trial by Julie Richardson, Ayse Kuspinar, Susanne Sinclair, Marla Beauchamp, Sinead Dufour, Ada Tang, Joy MacDermid, Evelyne Durocher, Lehana Thabane, Feng Xie, Andrew Costa

“…Data analysis will begin in November 2025 and results will be published in the Summer of 2026. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

“…The method offers a promising framework for hyperspectral image analysis in seed classification and other agricultural applications.…”
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Comprehensive examination of resting state fMRI connectomics yields new insights into brain function deficits in Gulf War illness after accounting for heterogeneity in brain impair... by Guangming Yang, Robert W. Haley, Ying Guo, Kaundinya S. Gopinath

“…In this study, we employed a connectomics approach and machine learning on rsfMRI data from a cohort of GW veterans to extract neuroimaging biomarkers specific to each of the three Haley GWI syndromes. …”
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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

“…Developing algorithms that effectively learn from sparsely labeled data is crucial. Capsule networks (CapsNet), introduced in 2017, solve the spatial information loss in traditional neural networks and excel in handling small datasets by capturing spatial hierarchical relationships among features. …”
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Classification-based point cloud denoising and 3D reconstruction of roadways by Denghong CHEN, Ning PANG, Wen NIE, Juqiang FENG, Jiliang KAN, Jinjing ZHANG

“…The integration algorithm could automatically analyze the noise types of point cloud data and then efficiently remove noise at different scales via an adaptive mechanism, thus achieving in-depth cleaning of main point cloud data. …”
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System architecture and key technologies of intelligent, safe and efficient mining for rockburst coal seams by Zhigang DENG, Yunpeng LI, Shankun ZHAO, Yin WANG, Shaogang LI, Linghai KONG, Junjun JIANG, Zhenguo SU, Yizhe LI, Kai QIN

“…At present, the prevention and control of rock burst in coal mines relies on the monitoring and manual analysis of stress, energy, displacement and other data, and implements targeted prevention measures accordingly. …”
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Perinatal artificial intelligence in ultrasound (PAIR) study: predicting delivery timing by Neil Patel, John O’Brien, Robert Bunn, Brandon Schanbacher, John Bauer, Garrett K. Lam

“…Retraining the AI with supervised and unsupervised learning has the potential to further improve performance.…”
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Key Points of the 15th Five-Year Plan for University Libraries to Support the Construction of a Powerful Country in the Education Sector by YANG Xinya, RAN Weiran, LI Li

“…[Method/Process] This study mainly adopts the methods of literature review, data analysis, and case study. By collecting and analyzing a large body of literature on library development policies, strategic plans, and related research findings from home and abroad, it examines the development context and trends of university libraries. …”
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Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study by Jie Hao, Zhenli Chen, Qinglong Peng, Liang Zhao, Wanqing Zhao, Shan Cong, Junlian Li, Jiao Li, Qing Qian, Haixia Sun

“…Under low-resource scenarios (eg, 1% of the training data), MedScaleNER outperformed all tested locally fine-tuned models. …”
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Skills Development and Graduate Employability in the Tourism and Hospitality Sector of Southwestern Uganda: A Case of Kabale District by Tushabe, Sylivia Byarugaba

“…Qualitative data were thematically analysed using NVivo version 10 to capture stakeholder perspectives on graduate preparedness. …”
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The Future of Hospital Medicine in Japan: Lessons From the United States Hospital Medicine System by Suzuki T, Katayama K, Houchens N, Hartley S, Tokuda Y, Watari T

“…No quantitative data analysis or specific analytical software was utilized for this narrative comparison.Results: The US hospitalist model demonstrated group practice approaches with shift-based schedules supporting work-life balance. …”
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ENTR1 affects the progression of colon cancer by regulating energy metabolism under the influence of glycolysis by Anquan Ma, Chuanyao Zhai, Qixuan He, Wenhao Wang, Huiping Ren, Kai Mao, Weipeng Lan, Jing Lan

“…Methods In this study, we analyzed ENTR1 expression levels in normal and tumor tissues using clinical sample data from multiple databases. We also employed Mendelian randomization (MR) analysis of ENTR1. …”
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Neurocognitive impairment and its associated factors among patients with diabetes mellitus who have follow up at referral hospital in Northwest, Ethiopia by Arefaynie Simachew, Asmamaw Getnet, Fentahun Minwuyelet, Haymanot Zeleke Mitiku, Worku Misganaw Kebede, Fassikaw Kebede Bizuneh, Bekele Getenet Tiruneh, Dejen Tsegaye

“…A diagnosis of diabetes is confirmed in adults when fasting blood glucose levels exceed 126 mg/dl in three consecutive follow-up measurements. Data entry was performed using Epidata version 4.6, and analysis was conducted using SPSS version 26. …”
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Spatial modeling of snow water equivalent in the high atlas mountains via a lumped process-based approach by Siham Acharki, Abdelghani Boudhar, Ayoub Bouihrouchane, Mostafa Bousbaa, Ismail Karaoui, Haytam Elyoussfi, Bouchra Bargam, El Mahdi El Khalki, Abdessamad Hadri, Abdelghani Chehbouni

“…In this study, we simulate the local and spatial distribution of SWE and outflow at 500 m using Snow17 model, ERA5-Land and satellite-derived fractional Snow Cover Area (fSCA) from Moderate Resolution Imaging Spectroradiometer (MODIS) for the period 2000–2022. The reanalysis data was downscaled and bias corrected using machine learning models (e.g. random forest). …”
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Identifying the factors affecting the growth of the employees of the country's property and documents registration organization by Najmeh Ahmadi, Kolsoum Nami, Nader Ghourchian, Parivash Jafari

“…A semi-structured interview was used to collect information. Data analysis was done using open and axial coding method. …”
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Evaluation of ground based spectral imaging for real time maize biomass monitoring by Andrea Szabó, Andrea Szabó, Nxumalo Gift Siphiwe, Nxumalo Gift Siphiwe, Erika Buday-Bódi, Erika Buday-Bódi, Blessing Ademola, János Tamás, János Tamás, Attila Nagy, Attila Nagy

“…These findings underscore the potential of combining proximal sensing and biomass data to enhance the prediction of plant properties, providing valuable insights for optimizing precision agriculture through machine learning.…”
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Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992–2022) based on nighttime light by Chaoqing Huang, Qian Wu, Yujie Chen, MinhThu Nguyen, Bin Chen, Song Hong, Chao He

“…This study develops a spatial visualization model to estimate carbon emissions in Southeast Asia using calibrated nighttime light data, with DMSP-OLS (Defense Meteorological Satellite Program Operational Linescan System) and NPP-VIIRS (National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite) standardized through polynomial regression and machine learning to ensure consistency. …”
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