Adaptation and validation of a Rwanda-focused version of the Alcohol Use Disorder Identification Test (AUDIT). by Noah Rosenberg, Mia Buono, Vincent Ndebwanimana, Joseph Niyonzima, Roland C Merchant, Aly Beeman, Catherine A Staton, Joao Ricardo Nickenig Vissoci

“…Further research should focus on the development of brief interventions for those who screen positive.…”
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Predicting Nitrous Oxide Emissions from China’s Upland Fields Under Climate Change Scenarios with Machine Learning by Tong Li, Yunpeng Li, Wenxin Cheng, Jufeng Zheng, Lianqing Li, Kun Cheng

“…Comparative analysis revealed that the RF algorithm performed the best, with the highest R² at 0.66 and the lowest root mean square error at 0.008 kg N₂O ha⁻¹ day⁻¹. …”
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Relationship between smoking and marital adjustment & social support among women with spouses experiencing alcohol/substance use disorders by Gozde Alkan, Duygu Altin, Gorkem Yararbas, Hur Hassoy

“…The population was calculated with a 20% prevalence 4% margin of error and a 95% confidence interval, and the sample size was 306. …”
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Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study by Xinxin Wang, Chengrui Zhang, Yue Qi, Ying Xing, Yawen Liu, Jiayi Sun, Wei Luan

“…Assessing older adults’ digital health literacy (DHL) is crucial for developing targeted interventions. ObjectiveThis study aims to develop and validate a DHL assessment questionnaire for older adults. …”
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Precision and Reliability of a Dynamometer for Trunk Extension Strength and Steadiness Assessment by Franciele Parolini, Márcio Goethel, Johan Robalino, Klaus Becker, Manoela Sousa, Barbara C. Pulcineli, Ulysses F. Ervilha, João Paulo Vilas-Boas, Rubim Santos

“…Accurate assessment of trunk extension strength control is crucial for diagnosing impairments and monitoring interventions. This study evaluated the reliability of a dynamometry-based protocol for isometric trunk extension strength control assessment. …”
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Effectiveness of intelligent robotic-assisted training system combined with repetitive facilitative exercise on upper limb motor function after stroke: a randomized controlled tria... by Jing-Zhi Zhang, Jun Chen, Xiao-Long Liu, Lin-Bo Yan, Si-Mao Xu

“…The CT group received conventional therapy. Interventions were administered five times weekly for four weeks. …”
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Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

“…Model performance was evaluated using Root Mean Square Error (RMSE) and R2 with 70:30 train-test validation. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones by Debasish Roy, Bappa Das, Pooja Singh, Priyabrata Santra, Shovik Deb, Bimal Kumar Bhattacharya, Ajit Govind, Raghuveer Jatav, Deepak Sethi, Tridiv Ghosh, Joydeep Mukherjee, Vinay Kumar Sehgal, Prakash Kumar Jha, Sheshakumar Goroshi, P. V. Vara Prasad, Debashis Chakraborty

“…The calibration accuracy of the RF model was in better agreement with the coefficient of determination (R2), root mean square error (RMSE), and normalized RMSE (nRMSE) values ranging between 0.961–0.997, 0.103–0.439 K, and 0.034–0.143%, respectively, and lower values of standard errors for all three locations. …”
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Socioeconomic inequality in undernutrition among late female adolescent in sub-Saharan African countries: a decomposition analysis by Ever Siyoum Shewarega, Tsion Mulat Tebeje, Makida Berhan Alem, Mulugeta Lulie Assres, Elsa Awoke Fentie

“…Results The weighted Erreygers normalized concentration index for undernutrition was − 0.070 with Standard error = 0.0053 (P value < 0.0001); this revealed that undernutrition was disproportionately concentrated among the poor (pro-poor). …”
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Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study. by Kai Xiang Lim, Frühling Rijsdijk, Saskia P Hagenaars, Adam Socrates, Shing Wan Choi, Jonathan R I Coleman, Kylie P Glanville, Cathryn M Lewis, Jean-Baptiste Pingault

“…<h4>Background</h4>Identifying causal risk factors for self-harm is essential to inform preventive interventions. Epidemiological studies have identified risk factors associated with self-harm, but these associations can be subject to confounding. …”
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Perceptions and practices of household heads toward malaria: a community based cross sectional study in Southwest Ethiopia by Girma Mamo Zegene, Bezuayehu Alemayehu, Tadesse Gebremedhin, Mathewos Alemu Gebremichael, Wondwossen Niguse, Ephrem Negeri

“…This calculation was based on a bed net utilization rate of 72.2% in the Ilu Galan District, Oromia Region, Ethiopia, with a 95% confidence level, 80% power, a 3% margin of error, a 10% non-response rate, and a design effect of 2. …”
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Development and validation of the Japanese version of the Public Attitudes Toward Epilepsy (PATE‐J) Scale by Junichi Hatakeda, Hiroumi Shimazaki, Izumi Kuramochi, Takayuki Iwayama, Sayaka Kobayashi, Hideyuki Matsuki, Haruo Yoshimasu, Kheng Seang Lim

“…Its validated two‐factor structure supports cross‐cultural comparisons and provides a reliable tool for assessing public attitudes, informing interventions, and guiding education campaigns.…”
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Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

“…By improving malnutrition diagnosis and intervention strategies, this approach has the potential to reduce morbidity and enhance child health outcomes in resource‐constrained settings.…”
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Assessing Strength Effort in Pre-Adolescent Girls: Insights into Effort Accuracy at Different Strength Thresholds by Prashant Kumar Choudhary, Suchishrava Dubey, Bindiya Rawat, Sonu Kumar, Bhanu Pratap, Deepak Bangari, Sandeep Kumar, Sambhu Prasad, Dalveer Singh Kaunteya

“…Participants’ maximum hand strength was measured using a dynamometer, and their ability to assess effort at 1/3, 1/2, and 2/3 of this maximum was recorded. Results. The error of effort assessment was calculated and analyzed using paired and independent samples t-tests. …”
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The Oxford Needle Experience (ONE) scale: a UK-based and US-based online mixed-methods psychometric development and validation study of an instrument to assess needle fear, attitud... by Samantha Vanderslott, Andrew J Pollard, Michael Morrison, Jonathan Kantor, Robert C Carlisle

“…Confirmatory factor analysis (CFA) with a Satorra-Bentler scaled test statistic evaluating the root mean squared error of approximation (RMSEA), standardised root mean squared residual (SRMR) and comparative fit index (CFI) on the US sample. …”
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Psychometric properties of the Indonesian version of the Quality of Life Index (QLI-I) among family caregivers of dependent older persons with type 2 diabetes mellitus by Rinco Siregar, Charuwan Kritpracha, Tippamas Chinnawong, Jos M. Latour

“…Its use in clinical and community settings can support nurses and healthcare professionals in identifying caregiver needs and developing culturally appropriate, evidence-based interventions to enhance caregiver well-being. …”
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Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning by Naafey Aamer, Muhammad Nabeel Asim, Aamer Iqbal Bhatti, Andreas Dengel

“…Traditional wet-lab approaches for identifying these interactions are expensive, time-consuming, and error-prone. No unified platform currently exists where biologists can predict and analyze multiple types of biological relationships comprehensively, limiting our ability to discover new therapeutic applications and fully understand interconnected biological mechanisms. …”
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Risk coupling analysis of underground gas storage leakage accidents based on dynamic Bayesian network and N-K model by Yao Hu, Zhilong Ding, Liguang Qiao, Feng Gu, Mengqi Yang

“…Additionally, the validation of the proposed model is proven utilizing a three-axiom-based technique.ResultsBy integrating the N-K model’s mutual information metric with DBN’s temporal modeling, the approach achieves a mean absolute error (MAE) of 0.032 in predicting coupling probabilities and enables risk reduction of up to 17.4% through targeted interventions, enhancing the accuracy and actionable insights for UGS safety management. …”
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The Contribution of Real-Time Artificial Intelligence Segmentation in Maxillofacial Trauma Emergencies by Amjad Shhadeh, Shadi Daoud, Idan Redenski, Daniel Oren, Adeeb Zoabi, Fares Kablan, Samer Srouji

“…<b>Background/Objectives:</b> Maxillofacial trauma poses significant challenges in emergency medicine, requiring rapid interventions to minimize morbidity and mortality. Traditional segmentation methods are time-consuming and error-prone, particularly in high-pressure settings. …”
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Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma by Chen Wang, Yongyong Huang, Shiyun Liao, Jiming Song

“…The area under the curve of TIC in patients with severe trauma with SII combined with coagulation index was 0.883, and the standard error was 0.032 (95%CI:0.8195~0.9461). The best cut-off value was 0.65. …”
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