AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions by Muhammad Nasir Amin, Roz-Ud-Din Nassar, Siyab Ul Arifeen, Muhammad Tahir Qadir, Fahad Alsharari, Muhammad Iftikhar Faraz

“…This study utilizes variables such as hydraulic conditions, curing age, and concrete mixture proportions to develop predictive models for the attrition depth of concrete, employing machine learning approaches including gene expression programming (GEP) and multi-expression programming (MEP). …”
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Implementation of physical education with blended learning based on teacher readiness in Indonesia: systematic review by Cahyo Nugroho Sigit, Muhammad Aliffajaruddin Alfani, Wasis Djoko Dwiyogo

“…Based on the results of the conclusions related to the systematic review that has been carried out, it can be concluded that the synergy between teacher readiness in mastering technology, the role of government through constructive programs, and high student literacy awareness.  …”
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Pre-service EFL Teacher Cognition: Learning to Teach English through Authentic Materials by Dilan Ökcü, Hatime Çiftçi

“…Themain purpose of this study is to investigate how pre-service EFL teachersconstruct their knowledge and understanding while learning to teach through theuse of authentic materials over a 5-week training program. …”
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Application of YOLO-based deep learning and UAV imagery in hybrid maize seed production by Marcelo Araújo Junqueira Ferraz, Pablo de Sousa Arantes, Adriano Teodoro Bruzi, Adão Felipe dos Santos

“…ABSTRACT In maize breeding programs, emasculation is a critical step in the production of hybrid seeds, occurring prior to anthesis. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

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Design of Dual Space Inquiry framework for facilitating flexible learning in digital technology era by Fuja Novitra, Mohd Nor Syahrir Abdullah, Erdogan Özdemir, Selma Riyasni, Emiliannur, Festiyed, Pol Metra

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Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning. by Su Zhang, Weitao Hu, Yelin Tang, Xiaoqing Chen

“…Differentially expressed autophagy-related genes (DE-ARGs) among DEGs, key module genes and autophagy-related genes (ARGs) were obtained by venn plot, and subjected to protein-protein interaction network construction. Two machine learning methods were applied to identify signature genes. …”
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LEARNERS’ COMMUNICATION IMPEDIMENTS AND CLASSROOM REALITY: EXPLORING THE SHORT SHRIFT ATTRIBUTED TO VOCABULARY LEARNING by Soumia HADJAB

“…And to enhance as language users, one must have a cavernous understanding of the essence of the language being studied and the process of learning it. Keywords: vocabulary, communication hiccups, IRF (Initiation/ Response/ Feedback) cycle, speaking programme, learner training. …”
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An Intelligent Method for C++ Test Case Synthesis Based on a Q-Learning Agent by Serhii Semenov, Oleksii Kolomiitsev, Mykhailo Hulevych, Patryk Mazurek, Olena Chernyk

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Cross-domain recommendation in MOOCs: A graph capsule network approach with transfer learning by Lian Yuanfeng, Zhuang Yongqi

“…To address these limitations, we propose a novel cross-domain recommendation model integrating graph capsule networks with knowledge-aware transfer learning. Our method constructs a heterogeneous network encompassing MOOC and programming domain entities by using cross-domain meta-paths to capture inter-domain semantic relationships. …”
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IMPROVING JAPANESE SPEAKING SKILLS DURING PROSPECTIVE INTERNS: PICTURE AND PICTURE LEARNING MODEL by Adriana Hasibuan, Muhammad Ali Pawiro

“…This study analyzes the speaking ability in Japanese by nurses who are engaged in prospective interns provided for them who will work in Japan through the EPA (Economic Partnership Agreement) program. The study involves 49 participants following the program and uses quantitative method as proposed by Brown Rodgers (2002). …”
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Automatic essay scoring for discussion forum in online learning based on semantic and keyword similarities by Bachriah Fatwa Dhini, Abba Suganda Girsang, Unggul Utan Sufandi, Heny Kurniawati

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Problem-Based Learning Module of Environmental Changes to Enhance Students’ Creative Thinking Skill by Pamula Guruh Prastiwa Anjarwati, Sajidan Sajidan, Baskoro Adi Prayitno

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Portfolio Assessment Strategies to Improve Prospective Teacher Competency in Islamic Religious Education Learning by Anis Rofi Hidayah, Fitriyatul Hanifiyah, Ahmad Fauzi

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Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast. by Jingru Dong, Ruijiao Lei, Feiyang Ma, Lu Yu, Lanlan Wang, Shangzhi Xu, Yunhua Hu, Jialin Sun, Wenwen Zhang, Haixia Wang, Li Zhang

“…We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…This paper seeks to introduce a Learning Management System (LMS) designed to elevate the delivery of educational content, fostering the training and development of students' knowledge in a dynamic and adaptive learning environment anchored to the connectivity and synchronization needs of smart urban living. …”
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…This study proposes an optimized energy consumption prediction model based on accelerometer sensor data and deep learning techniques. In this study, a model architecture integrating Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (Bi-LSTM) network, and an attention mechanism is constructed, with a focus on optimizing local feature extraction, temporal modeling, and dynamic weight allocation capabilities. …”
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Predicting adolescent psychopathology from early life factors: A machine learning tutorial by Faizaan Siddique, Brian K. Lee

“…Objective: The successful implementation and interpretation of machine learning (ML) models in epidemiological studies can be challenging without an extensive programming background. …”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Our objective was to evaluate the sensitivity, specificity, and accuracy of a machine learning (ML) algorithm using publicly available data to predict medical device recalls by the FDA. …”
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COMMUNICATION BARRIERS ENCOUNTERED BY ERASMUS STUDENTS AT THE UNIVERSITY OF ORADEA: CHALLENGES AND ADAPTATION STRATEGIES by Amalia-Ana STURZA, Simona-Veronica ABRUDAN CACIORA

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