Enhancing sexual and reproductive health decision-making skills in underserved communities in Ghana: A quasi-experimental study. by Jacqueline Nkrumah, Aaron Asibi Abuosi, Lily Yarney, Gordon Abekah-Nkrumah, Anita Asiwome Adzo Baku

“…Over six weeks, weekly sessions were conducted, followed by an end-line assessment with 249 participants and an 8-week post-intervention evaluation. Data analysis employed SPSS (version 26.0) and STATA (version 15.0), utilizing difference-in-difference and high-dimension fixed-effects models, paired sample t-test, and Kendall's coefficient of concordance. …”
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How ChatGPT shapes a new reality of writing: Is there a place for humans in an artificial world? by Veronika Yurchenko, Oleksii Nalyvaiko

“…Participants evaluated texts across five stylistic genres (literary, journalistic, scientific, philosophical, and promotional) and attempted to determine authorship (human, AI-generated, or AI-edited). The data were analyzed using statistical methods, including the Kruskal-Wallis test, ANOVA, and Pearson’s correlation analysis. …”
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Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory by Suraj Rajendran, Zhenxing Xu, Weishen Pan, Chengxi Zang, Ilias Siempos, Lisa Torres, Jie Xu, Jiang Bian, Edward J. Schenck, Fei Wang

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User-centered design to enhance university students’ sex and menstrual education in South Korea: randomized controlled trial by Hana Kim, Ji Woon Ko, Doyon Kim, Nagyeom Yoon, Jisan Lee

“…Conclusion While overall knowledge gain didn’t significantly differ between groups (except for quiz results), the findings offer valuable insights for developing mobile-based sexual and menstrual health education. Qualitative data suggests a preference for video learning, informing future module development. …”
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Computational antidiabetic assessment of Salvia splendens L. polyphenols: SMOTE, ADME, ProTox, docking, and molecular dynamic studies by Hatun A. Alomar, Wafaa M. El Kady, Asmaa A. Mandour, Amany A. Naim, Neveen I. Ghali, Taghreed A. Ibrahim, Noha Fathallah

“…Employing the SMOTE oversampling strategy confirmed that the generated dataset mirrored the activity pattern of the original data. An ADMET analysis of twelve compounds indicated that most complied with Lipinski's rule of five, demonstrating favorable oral bioavailability and safety profiles, except for two compounds, luteolin7-O-(4″,6″-di-O-α-L-rhamno-pyranosyl)-β-D-glucopyranoside and apigenin-7-O-β-D-rutinoside, which exhibited low solubility. …”
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Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy by Xiaoyi Song, Wen Zhu, Yang Li, Zhanyu Li, Wanwei Cao, Jieyu Lu, Wanping Pan, Jingyue Wei, Man Li

“…We validate our findings through multiple immunofluorescence staining and explore the characteristics of CD39+ Tregs using Single-cell transcriptome analysis and flow cytometry. Based on the signature genes of CD39+ Tregs, we construct 107 composited machine-learning models to identify MN. …”
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Intelligent irrigation strategy model for farmland using dung beetle optimization-random forest algorithms by Wenwen Hu, Yong Liu, Jun An, Shipu Xu, Zhiwen Zhou, Mingming An, Xiaokun Guo, Xiang Ma, Wenfei Jiang, Yunsheng Wang

“…This research provides valuable insights into agricultural meteorological data analysis and irrigation management, particularly for complex, multi-source data. …”
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A liquid biopsy approach detects HCC and identifies GJA4 as a potential biomarker for HBV-HCC via plasma cfDNA methylome profiling by Jialing Sun, Xinfeng Sun, Weihuang He, Bingding Huang, Wenxing Feng, Zhiyi Han, Ruyun Ruan, Yuanke Pan, Jinxin Zhu, Jing Li, Xin Zhong, Mengqing Ma, Rui Hu, Minling Lv, Qi Huang, Wei Zhang, Mingji Feng, Jinyu Yi, Pin Cui, Xiaozhou Zhou

“…Among these DMRs, one that locates in the promoter region of GJA4, was found to be consistently present in the whole process of HBV-related HCC carcinogenesis. Using data from TCGA, comparison of expression profile of GJA4 between 160 healthy people and 369 HCC patients further supported this scenario. …”
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Prevalence and Correlates of Neurocognitive Disorders among HIV Patients on Antiretroviral Therapy at a Kenyan Hospital by A. G. Mugendi, M. N. Kubo, D. G. Nyamu, L. M. Mwaniki, S. K. Wahome, J. E. Haberer

“…Our objectives in this analysis are to determine the prevalence of HAND and the covariates in a Kenyan population. …”
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Trends in Studies on Transesophageal Echocardiography in Emergency Medicine: A Scoping Review by Bor-Yuan Tseng, Chih-Jui Yang, Jen-Tang Sun, Yiju Teresa Liu, Kabir Yadav, Yu-Lin Hsieh, Sheng-En Chu, Chen-Wei Lee, Yi-Kung Lee, Tou-Yuan Tsai

“…To better reflect research trends, we exclusively conducted subgroup analysis on the research articles. We used linear regression analysis to analyze trends and conducted checkpoints on the timelines. …”
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Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing by Hua Huang, Jiaze Ma, An Kang, Tianwei Guo, Wei Sun, Yan Xu, Lijiang Ji

“…To elucidate the cellular subtypes and gene expression profiles implicated in the pathogenesis of UC, we utilized single-cell and spatial transcriptomic analyses.MethodsWe conducted an analysis of single-cell data to identify cell types involved in the pathogenesis of UC. …”
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Designing siRNAs against non-structural genes of all serotypes of Dengue virus using RNAi technology – A computational investigation by Md. Nur Islam, Israt Jahan Asha, Aninda Kumar Gain, Raihanul Islam, Shipan Das Gupta, Md. Murad Hossain, Shuvo Chandra Das, Mohammed Mafizul Islam, Dhirendra Nath Barman

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The Effect of Nursing Process Education on Students’ Perceptions of Nursing Diagnoses by Ezgi Bağrıaçık, Burcu Totur Dikmen

“…In the statistical analysis of data, number, percentage, mean score and paired t-test were used. …”
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Human resources and curricula content for early child development implementation: multicountry mixed methods evaluation by Karim Manji, Esther Goh, Kate M Milner, Rob Hughes, Maya Kohli-Lynch, Victoria Ponce Hardy, James Radner, Sonia Sharma, Joy E Lawn, Vanessa Cavallera, Raquel Bernal Salazar, Alexandra Brentani, Karlee L Silver, Sunil S Bhopal, Jena D Hamadani

“…Qualitative data were collected from ECD experts and stakeholders and analysed using thematic content analysis, informed by literature review.Results Major themes regarding human resources included: worker characteristics, incentivisation, retention, training and supervision, and regarding curricula content: flexible adaptation of content and delivery, fidelity, and intervention duration and dosage. …”
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Predicthor: AI-Powered Predictive Risk Model for 30-Day Mortality and 30-Day Complications in Patients Undergoing Thoracic Surgery for Lung Cancer by Xavier Durand, Msc, Julien Hédou, Msc, Grégoire Bellan, Msc, Pascal-Alexandre Thomas, MD, PhD, Pierre-Benoît Pages, PhD, Xavier-Benoît D’Journo, PhD, Laurent Brouchet, PhD, Caroline Rivera, MD, Pierre-Emmanuel Falcoz, PhD, André Gillibert, MD, PhD, Jean-Marc Baste, MD, PhD

“…The study’s methodology and comprehensive dataset contribute to its relevance in using machine learning on large available databases for shaping thoracic surgery practices and patient management.…”
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The application of artificial intelligence in upper gastrointestinal cancers by Xiaoying Huang, Minghao Qin, Mengjie Fang, Zipei Wang, Chaoen Hu, Tongyu Zhao, Zhuyuan Qin, Haishan Zhu, Ling Wu, Guowei Yu, Francesco De Cobelli, Xuebin Xie, Diego Palumbo, Jie Tian, Di Dong

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Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer + WSSE Without CAG by Mehmet Cagri Goktekin, Evrim Gul, Tolga Çakmak, Fatih Demir, Mehmet Ali Kobat, Yaman Akbulut, Ömer Işık, Zehra Kadiroğlu, Kürşat Demir, Abdulkadir Şengür

“…The MI-MS ConvMixer model allows simultaneous training of 12-channel ECG data and highlights different regions of the data at different scales. …”
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Best estimate of the planetary boundary layer height from multiple remote sensing measurements by D. Zhang, J. Comstock, C. Sivaraman, K. Mo, R. Krishnamurthy, J. Tian, T. Su, Z. Li, N. Roldán-Henao

“…Evaluations indicated that PBLHT-BE-ML from all three models improved alignment with the PBLHT derived from radiosonde data (PBLHT-SONDE), with LightGBM demonstrating the highest accuracy under both stable and unstable boundary layer conditions. …”
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Monitoring Changes to Small-Sized Lakes Using Medium Spatial and Temporal Satellite Imagery in the Badain Jaran Desert from 2015 to 2020 by Qinyu Zhao, Luyan Ji, Yonggang Su, Kai Yu, Yongchao Zhao

“…Thereby, in this study, we focus on applying the deep learning based spatiotemporal fusion method (super-resolution based spatial fusion with Generative Adversarial Network (GAN)) to a low spatial yet high temporal resolution data (i.e., MODIS 250 m daily reflectance time series) and a high spatial yet low temporal resolution data (i.e., Landsat 30 m 16-day reflectance time series) to generate a daily 30 m time series for 37 selected lakes in the Badain Jaran Desert. …”
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A cloud-based framework for the quantification of the spatially-explicit uncertainty of remotely sensed benthic habitats by Spyridon Christofilakos, Alina Blume, Avi Putri Pertiwi, Chengfa Benjamin Lee, Dimosthenis Traganos, Peter Reinartz

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