Interpretable machine learning insights into the association between PFAS exposure and diabetes mellitus by Cui Wang, Xinping Xu, Shuai Luo, Man Luo, Sha Li, Jianhong Si

“…Background: Diabetes Mellitus (DM) is a global health concern with rising prevalence, and its link to PFAS exposure remains unclear. No machine learning (ML) models have yet been developed to predict DM based on PFAS exposure. …”
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Educational practices in motion: a scoping review of embodied learning approaches in school by Pierluigi Faella, Pierluigi Faella, Simone Digennaro, Alice Iannaccone

“…Studies were included if they empirically explored embodied learning within school-based PE contexts. Twenty-one studies met the inclusion criteria and were analyzed thematically. …”
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Lifelong Learning and Sexual Health Literacy in Nursing Students: Cross-Sectional Study by Nihal Aloğlu, Ayla Güllü

“…The aim of this study is to determine the relationship between sexual health literacy and lifelong learning in nursing students.Methods: 269 individuals were involved in this cross-sectional investigation. …”
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Cultural context of educational service management on example of e-learning website quality by Aleksandra Radziszewska

“…Material and methods Based on the literature review and the characteristic dimensions of Polish culture five hypotheses for the causal relationship between the cultural values and their influence on students’ requirements regarding e- learning website quality have been proposed. …”
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DIDACTIC POTENTIAL OF TELEGRAM CHANNELS FOR ENGLISH LANGUAGE LEARNING IN NON-LINGUISTIC PROGRAMS by Blynova Neliia, Bespalova Nataliia, Voloboieva Anna

“…We have considered the positive and negative aspects of such materials, based on practical activities, and give advice for those who want to learn English or improve their knowledge with the help of Telegram channels. …”
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Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms by Paramasivam Alagumariappan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, K. Kamalanand, C. Emmanuel, Sarah Allabun, Manal Othman, Masresha Getahun, Ben Othman Soufiene

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The Impact of data-driven learning on the improvement of grammatical proficiency in the ESL classroom environment by Sabina Sultana, Manvender Kaur Sarjit Singh, Rabiul Islam, Hafizah Hajimia

“…Corpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students. …”
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The washback of the abolition of the national examination in Indonesia by Ifan Rikhza Auladi

“…The regulation considers some reasons: the suitability of the test, the development of teaching methods, and the enhancement of the quality of national education. …”
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CYCLONE: recycle contrastive learning for integrating single-cell gene expression data by Han Ji, Xinwei He, Hongwei Li

“…Conclusion CYCLONE is an effective integration method based on recycle contrastive learning that improves the accuracy of cell clustering while successfully eliminating batch effects and preserving batch-specific information.…”
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Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections by Oona Rainio, Heidi Huhtanen, Jari-Pekka Vierula, Janne Nurminen, Jaakko Heikkinen, Mikko Nyman, Riku Klén, Jussi Hirvonen

“…This study aimed to develop a deep learning-based algorithm for the automated detection of RPE. …”
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“Voice of Student” in the Analysis of Components of Digital Educational Environment during Online Learning by Olga I. Popova, Galina S. Timokhina, Natalya B. Izakova, Larisa M. Kapustina

“…Based on the authors’ Voice of Student research algorithm, the aim of the study was to analyze students’ evaluations of the consumer’s experience of interaction with components of the digital learning environment during online learning. …”
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A Self-Determined Learning Approach: Enhancing Workplace Adaptability for Overcoming Inequality by Hannes Louw, Henry Mynhardt, Sam Lubbe

“…The research is based on the results of in-depth interviews with students aged between 25 and 37 years with work (2‒5 years) and study experience, who fit the profile of self-determined learners, have part-time distance learning experience, are employed in different positions and are currently studying different programs, and are also registered with one of the three Distance Education Institutions. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…This research leverages various machine learning algorithms to develop predictive models trained on a comprehensive dataset of sensor-based soil moisture, matric suction, and soil temperature obtained from prototype ET covers, with known resistivity values. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

“…However, when using machine learning methods for population spatialization, issues such as data overfitting and limited interpretability need to be addressed. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Our method employs specialized data augmentation techniques to create positive and negative pairs, enhancing feature representation. …”
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Cognitive Anxiety and Habits of Mind: A Study of the Interrelationships with Biology Learning Outcomes by Ilma Riksa Isfiani, Bambang Ekanara

“…It can be summarized that habits of mind and cognitive anxiety have a positive relationship with biology learning outcomes. …”
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Risk assessment of oral leukoplakia by DNA content enhanced by machine learning models by Matheus Henrique Lopes Dominguete, Vera Cavalcanti de Araújo, Fernanda Viviane Mariano, Carmen Silvia Passos Lima, João Figueira Scarini, Paulo de Camargo Moraes, Victor Angelo Martins Montalli, Larissa Agatti, Zuraiza Mohamad Zaini, Luíza Hellmeister, Marcelo Sperandio

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Improving Environmental Love Attitude Through Ecoliteracy Learning at Islamic Boarding Schools by Fatmawati Ira, Kayati Afiyah Nur

“…The increase in test scores based on environmental love indicators shows that the integration of ecoliteracy-based learning can increase environmental love behavior, especially in Islamic dormitory.…”
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Evaluation of predictive accuracy of gene expression in pigs using machine learning models by Tianle ZHOU, Jinyan TENG, Zhiting XU, Zhe ZHANG

“…ObjectiveThe goal was to compare the performance of various machine learning models in predicting gene expression in pigs utilizing single nucleotide polymorphisms (SNPs), and to investigate the relationship between cis-heritability (cis-h2), the number of cis-SNPs and the prediction accuracy of different models.MethodBased on the protein encoding genes of pigs derived from muscle tissue of the PigGTEx project, we trained 18 distinct machine learning models by employing cis-SNPs located within a ±1 Mb window from the transcription start sites of genes. …”
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Learning better together? A scoping review of in-person interprofessional undergraduate simulation by Brona Joyce, Davina Carr, Alison Smart, Dakota Armour, Gerard J. Gormley

“…Therefore, this study aims to address the following research question: What is known about undergraduate in-person (IP) simulation-based education (SBE)? Methods We conducted a scoping literature review, adhering to the PRISMA-ScR extension guidelines, and used the Arksey and O’Malley framework. …”
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