Knowledge, attitudes, and practices of healthcare providers in pre-hospital care in Nepal by Pavan Kumar Sah, Wenyi Lai, Neelam Gupta, Bimal Singh Bist, Sanjib Gautam, Khem Raj Sapkota, Bipin Koirala, Ileana Kong Zhuo, Morlai Sesay, Ying Guan, Ying Guan

“…Nonparametric analysis, rank Spearman’s rank correlation, and ordinal regression were used to analyze the data.ResultsThe study revealed that 62% of providers had good knowledge, 66% exhibited positive attitudes, but only 25% demonstrated good practice. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…AI technology has now been shown to have great promise in improving diagnostic accuracy, assisting clinical decision-making, and simplifying questionnaire development and data analysis. To systematically assess the value of AI in medical questionnaires, this study searched 5 databases (PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Infrastructure) for the period from database inception to September 2024. …”
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Large models in medical imaging: Advances and prospects by Mengjie Fang, Zipei Wang, Sitian Pan, Xin Feng, Yunpeng Zhao, Dongzhi Hou, Ling Wu, Xuebin Xie, Xu-Yao Zhang, Jie Tian, Di Dong, Yuanyuan Ji

“…These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. …”
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Delivering youth nutrition interventions through school-based gardening of indigenous vegetables and fruits and WhatsApp nutrition education in Southwest Nigeria: non-randomized st... by Abiodun T. Atoloye, Idowu A. Atoloye, Idowu A. Atoloye, Sherif O. Olasoji, Victoria A. Tanimonure, Michael O. Awoleye, Cornelius T. Atere, Tolulope L. Owoyemi, Atanda S. Oladejo

“…Integrating school-based gardening focused on IVFs with a nutrition education program delivered via WhatsApp combines experiential learning with digital tools.Methods and analysisThis is a non-randomized, mixed-methods study involving youths between 15 and 35 years who will participate in gardening activities and/or interactive nutrition education via WhatsApp. …”
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An evaluation of the feasibility, value and impact of using participatory modelling to inform the development of a regional system dynamics model for youth suicide prevention by Maria Michail, Justin Waring, Jo-An Occhipinti, Katrina Witt, Adam Skinner, Michelle Lamblin, Maria Veresova, Dzenana Kartal, Jo Robinson

“…Data from each source were analysed separately, using codebook and reflexive thematic analysis, and synthesized to identify patterns in meaning and broad concepts under the evaluation categories of feasibility, value and impact. …”
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Applications and advances of combined fMRI-fNIRs techniques in brain functional research by Lirui Yang, Lirui Yang, Lirui Yang, Lirui Yang, Zehua Wang, Zehua Wang, Zehua Wang, Zehua Wang, Zehua Wang

“…The future direction emphasizes hardware innovation (such as fNIR probe compatible with MRI), standardized protocol and data integration driven by machine learning, etc. to solve the depth limitation of fNIR and infer subcortical activities. …”
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Determining the feasibility of calculating pancreatic cancer risk scores for people with new-onset diabetes in primary care (DEFEND PRIME): study protocol by Simon de Lusignan, Agnieszka Lemanska, Natalia Khalaf, Adam Harvey-Sullivan, Hugh Claridge, Claire A Price, Rofique Ali, Elizabeth A Cooke, Catherine Hodges, Dean O’Callaghan, Ali Stunt, Spencer A Thomas, Joanna Thomson

“…This study aims to determine the feasibility of applying ENDPAC to data held by UK primary care practices.Methods and analysis This will be a multicentre observational study with a cohort design, determining the feasibility of applying ENDPAC in UK primary care. …”
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Evaluation of high school-based dengue solution model in Southern Thailand: a community participatory action research by Charuai Suwanbamrung, Sandeep Kumar Mehraj, Melkamu Worku Kercho, Muhammad Haroon Stanikzai, Temesgen Anjulo Ageru, Jiraporn Jaroenpool, Panatda Pibul, Shamarina Shohaimi, Eskinder Israel

“…Descriptive statistics such as frequency and percentage, chi-square and fisher’s exact test were used to summarize and compare quantitative data before and after intervention. Similarly, qualitative data was collected through interviews and focus group discussion (FGD) and then analyzed through thematic analysis. …”
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Single-cell and spatial transcriptomics reveal correlation between RNA methylation-related miRNA risk model and immune infiltration in hepatocellular carcinoma by Rong Su, Yong Du, Pan Tian, Weifang Ma, Yongfeng Hui, Shaoqi Yang

“…Here, we predicted the correlation between RMRM risk and immune cell infiltration in HCC using machine learning. MethodsMiRNA sequencing data was used to identify RMRMs. …”
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Explainable Federated Framework for Enhanced Security and Privacy in Connected Vehicles Against Advanced Persistent Threats by Sudhina Kumar G K, Krishna Prakasha K, Balachandra Muniyal, Muttukrishnan Rajarajan

“…The critical need for vehicular data privacy restricts traditional centralized Machine Learning (ML) approaches. …”
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Evaluation of "How To Be A Good Mentoring Training” Effectiveness for Peer Mentor by Andhika Alexander Repi

“…Evaluation of the "Creating a Full Heart Mentor" training is useful in evaluating the results of assessments showing the satisfaction of Mentor to the training process, and improving learning after obtaining training materials. The training on "Creating a Full Heart Mentor" produces needs analysis data used as a further development program for Mentors.   …”
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Psychoeducation for Relatives of Young Adults with First-Episode Psychosis: A Qualitative Exploration of Needs and Experiences by S. A. Kuipers, C. A. Elzinga-Hut, B. S. Rosema, S. Sanches, D. Boertien, B. Stavenuiter, S. K. Spoelstra, G. H. M. Pijnenborg, N. Boonstra

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Designing a model of academic adjustment based on educational engagement, the mediatory role of academic buoyancy in students of secondary school in Yazd province by Pouya Heydari, Alireza Manzari Tavakoli, Hamdollah Manzari Tavakoli, Amanallah Soltani

“…In order to investigate the relationship between variables, Pearson correlation test was used to investigate the variable prediction dependent on the independent variable and the intermediate role of the structural model test by path analysis method in the bootstrap test. Analysis of the research data was done through structural equation modeling with SPSS24 and AMOS22 software. …”
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Development of entrepreneurial competencies of Russian and Czech undergraduate students: Gender aspect by A. V. Pesha, M. N. Shavrovskaya, Z. Caha

“…The research findings are expected to contribute to the debate on entrepreneurial competencies and provide useful data to be employed in learning with a focus on the development of internal entrepreneurship.…”
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Predictive value and weight of factors associated with cognitive performance in Hispanics/Latinos enrolled in the Health and Aging Brain Study: Health Disparities by Raul Vintimilla, Darian Johnson, Douglas Taylor, James Hall, Fan Zhang, Sid O'Bryant, for the HABS‐HD Study Team

“…Research on these factors has relied on a meta‐analysis of their individual association with cognition, consolidating data from different non‐Hispanic White populations. …”
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PENGEMBANGAN SOAL ASESMEN KOMPETENSI MINIMUM (AKM) MATEMATIKA PADA MATERI PELUANG UNTUK PESERTA DIDIK SMP by Supri Mulyani, Lusiana Lusiana, Jumroh Jumroh

“…Validity analysis was tested using the Pearson product moment correlation coefficient. …”
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Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering by Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou, Rui Zou

“…At the same time, the existing unsupervised deep learning-based methods relying on the pseudo labels may lead to a low-performance network. …”
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Wavelet transform couple long short-term memory neural network for profiling of Ganga water pollution and its prediction approaches by S. Singh, S.K. Singh, R. Singh

“…The model integrates signal processing and deep learning techniques by utilizing wavelet decomposition at a specific scale to obtain the low and high-frequency features of the target data, constructing a feature matrix, and feeding it into an LSTM network for prediction. …”
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Happiness at School and Its Relationship with Academic Achievement by Hernán Hochschild Ovalle, Miguel Nussbaum, Susana Claro, Pablo Espinosa, Danilo Alvares

“…This study contributes to the growing body of research on the relationship between subjective well-being and academic performance in schools by providing a context-specific analysis of Chilean students. Using 2022 SIMCE data—a national standardized assessment in Chile—from 4th and 10th graders (<i>N</i> = 292,725), the research employs hierarchical linear modeling to explore how students’ school happiness relates with performance in language and mathematics, accounting for socioeconomic status, gender, origin, self-efficacy, and previous year’s grades. …”
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MIN 20 Aceh Besar لترقية قدرة التلاميذ على المفردات بـ Total Physical Response وطريقة Drill and Practice مقارنة بين طريقة by Annisa Rahmah, Tarmizi Ninoersy, Fadhilah Fadhilah

“…This study uses a question instrument consisting of pre-test and post-test with descriptive statistical data analysis techniques, paired sample t-test and independent sample t-test using the SPSS v.25 program. …”
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