Does digital learning stimulate creativity? by Marcel Pikhart, Liqaa Habeb Al-Obaydi, Blanka Klimova

“…The findings indicate that digital learning generally can have a certain but positive impact on creativity. …”
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The Impact of Teaching Strategies in Blended Learning on Students’ Self-Directed Learning Capability at Hanoi University of Science and Technology by Viet Anh Mai, Chi Quynh Nguyen, Ngoc Thang Duong, Mai Quynh Thi Tran, Hoc Hieu Le

“…The teaching strategies that have the most positive impact on SDL are Active Learning, Problem-Based Learning, and Personalized Learning. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…Both feature selection and transfer learning did not improve the diagnostic performance of a model based on BDG and PCT only. …”
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Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis by Sara Bizzozero, Tito Bassani, Luca Maria Sconfienza, Carmelo Messina, Matteo Bonato, Cecilia Inzaghi, Federica Marmondi, Paola Cinque, Giuseppe Banfi, Stefano Borghi

“…Relevance statement Efficient deep learning-based MRI image segmentation to assess the composition of six thigh muscle groups in over 50 individuals revealed gender differences in thigh muscle CSA and FI. …”
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Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT by Kingsley F. Attai, Constance Amannah, Moses Ekpenyong, Daniel E. Asuquo, Oryina K. Akputu, Okure U. Obot, Peterben C. Ajuga, Jeremiah C. Obi, Omosivie Maduka, Christie Akwaowo, Faith-Michael Uzoka

“…Methods We integrated the interpretability offered by local interpretable model-agnostic explanations (LIME) and the explainability provided by generative pre-trained transformers (GPT) to bridge the gap in understanding and trust often created by machine learning models in critical healthcare decision-making. …”
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Simulated Practice Learning Experience in a Virtual Environment: An Innovative Pedagogical Approach to Practice Learning for Nursing Students by Sharon Faulds, Anne Taylor

“…There is a wealth of evidence to support the positive impact simulated learning or simulated-based education can have on the student experience, developing skill competency and enhancing patient outcomes. …”
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Association between pro-inflammatory diet and fecal incontinence: a large population-based study by Haiyang Wang, Haiyang Wang, Zihan Liu, Zihan Liu, Xingfu Lu, Enyu Luan, Enyu Luan, Tingting Dong, Tingting Dong, Can Li, Can Li, Yanni Lv, Erkang Wu, Tao Shen, Tao Shen

“…Meanwhile, we identified key dietary factors for FI using multiple machine learning algorithms. Finally, we assessed the mediation role of inflammatory indicators on the association of key dietary factors with FI through mediation analysis.ResultsAfter adjustment for potential confounding variables, our results showed the highest tertile exhibited dramatically increasing prevalence of FI compared to the lower tertile (OR 1.27, 95% CI 1.06–1.53), suggesting a positive association between DII and FI. …”
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Students’ Engagement and Motivation in Gamified Learning by Mihaela Covrig, Simona Irina Goia (Agoston), Ramona Ștefania Igreț, Cristian Virgil Marinaș, Alexandra Dorina Miron, Monica Roman

“…The paper proposes an original approach both in terms of the research method and the context of the study. In order to analyse engagement in gamified learning, we use Nicola Whitton's scale and employ an exploratory factor analysis on data collected through a questionnaire-based survey distributed among students at one of the largest universities of economics and business in Romania, namely The Bucharest University of Economic Studies (BUES). …”
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Hybrid face recognition under adverse conditions using appearance‐based and dynamic features of smile expression by Murat Taskiran, Nihan Kahraman, Cigdem Eroglu Erdem

“…Abstract Although recent deep‐learning‐based face recognition methods give remarkable accuracies on large databases, their performance has been shown to degrade under adverse conditions (e.g. severe illumination and contrast variations; blur and noise). …”
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Intelligent 5G-Aided UAV Positioning in High-Density Environments Using Neural Networks for NLOS Mitigation by Morad Mousa, Saba Al-Rubaye

“…This study addresses the limitations of traditional GNSS-based methods in dense urban environments and offers a robust solution for future UAV advancements.…”
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A Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor by Kévin Cédric Guyard, Jonathan Bertolaccini, Stéphane Montavon, Michel Deriaz

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The Effect of the Realistic Mathematics Education (RME) Learning Model on the Second-Grade Elementary Students’ Mathematics Learning Outcomes by Sarimauli Simamora, Juliana, Heka Maya Sari Sembiring, Dyan Wulan Sari HS, Darinda Sofia Tanjung, Meikardo Samuel Prayuda

“…The research method used is an experimental method with a quantitative research type and the number of research samples was 27 students based on the purposive sample technique. …”
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Classification algorithm for imbalance data of ECG based on PSOFS and TSK fuzzy system by Xinhui LI, Qing SHEN, Xiongtao ZHANG

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Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…Genes with expression differences were screened by differential expression gene analyses (DEGs), and 103 positively correlated differentially expressed genes were identified based on these genes as well as the ITH-score. …”
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Predicting Pathologic Complete Response to Neoadjuvant Treatment in HER2-positive Breast Cancer using Interpretable Classification by Sergio Peñafiel, Esteban Ramírez, Nelson Baloian, Isabel Saffie, Paulo Luz, Inti Paredes

“…Previous studies have explored predictors of pCR and utilized statistical techniques, but no prior research has applied machine learning to this specific treatment. This work proposes a rule-based interpretable method based on Dempster-Shafer theory. …”
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Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia by Xiaoyun Feng, Yufeng Qin, Yulong Feng, Yingquan Zhuo

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Real-Time Collision Warning System for Over-Height Ships at Bridges Based on Spatial Transformation by Siyang Gu, Jian Zhang

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AI partner versus human partner: comparing AI-based peer assessment with human-generated peer assessment in examining writing skills by Liqaa Habeb Al-Obaydi, Marcel Pikhart

“…Ultimately, both methods contributed positively to students’ writing skills, highlighting the strengths and trade-offs between human and AI feedback mechanisms.…”
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Measurement-Based Neural Network Technique for Modeling the Low-Frequency Electric Field Radiated Behavior of Satellite Units by Anna N. Lampou, Anargyros T. Baklezos, Konstantinos K. Spyridakis, Dimitrios A. Rigas-Papakonstantinou, Ioannis O. Vardiambasis, Christos D. Nikolopoulos

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Developing positive design with innovative thinking framework: A design pedagogical approach to enhance subjective well-being by Wenjia Li, Xinni Zhang, Han Gao, Jingjing Gui, Xiaoyu Yang, Jidong Yang

“…In this exploratory study on design teaching, we build a novel teaching model by drawing on the connection between students' self-transcendent knowledge and formal knowledge in design thinking. Based on the Design for Happiness framework (DfH), this study uses Positive Emotional Granularity cards (PEG) to stimulate students to identify and categorize various positive emotions. …”
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