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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An explainable Machine Learning model for Large-Scale Travelling Ionospheric Disturbances forecasting by Ventriglia Vincenzo, Guerra Marco, Cesaroni Claudio, Spogli Luca, Altadill David, Segarra Antoni, Galkin Ivan, Barta Veronika, Verhulst Tobias G.W., de Paula Víctor, Navas-Portella Víctor, Berényi Kitti A., Belehaki Anna

“…The model is based on CatBoost, a gradient boosting framework. …”
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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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Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection by Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, Suprakash Chaudhury, Sana Dhamija, Tahoora Ali

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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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The Role of Short Videos in Medical Training: Student Feedback and an Experiential Learning Perspective by DEEPIKA VELUSAMI, SHIVAYOGAPPA TELI, KRISHNAMURTHY SOUNDARIYA, SENTHAMIL K, MANGANI S

“…A pre-designed 10 questions, Likert scale questionnaire, based on Kirkpatrick’s Model (Level 1), was used to collect data about the students’ learning experience. …”
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Data-driven design of electrolyte additives supporting high-performance 5 V LiNi0.5Mn1.5O4 positive electrodes by Bingning Wang, Hieu A. Doan, Seoung-Bum Son, Daniel P. Abraham, Stephen E. Trask, Andrew Jansen, Kang Xu, Chen Liao

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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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Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…Using an extensive dataset of 200 CFST stub column tests, this research evaluates three machine learning (ML) models – LightGBM, XGBoost, and CatBoost – and three deep learning (DL) models – Deep Neural Network (DNN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM). …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

“…Our experimental results demonstrate that: (i) XGBCLUS enhances true positive rate (TPR) and receiver operating characteristic-area under curve (ROC-AUC) scores compared to state-of-the-art under-sampling and over-sampling techniques, and (ii) our proposed ensemble classifiers outperform traditional single tree-based machine learning classifiers in terms of accuracy, TPR, and false positive rate (FPR) scores.…”
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Biomechanical structure of sprint start and effect of biological feedback methods on sprint start performance by İlbilge Ozsu

“…For this reason, biofeedback trainings will be useful methods that provide a kinesthetic awareness of individualized sprint start position for athletes. …”
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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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Optimal control of manipulator with joint clearance compensation via generalized policy learning by Wenting Liu, Qingliang Zeng, Zhiwen Wang, Jun Zhao, Lin Kong

“…Simulation results demonstrate the effectiveness of the proposed learning algorithm and control method for manipulator clearance compensation. …”
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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules by Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu

“…The GMU_D model constructed by discriminative analysis based on machine learning screening features had an excellent discriminative performance (AUC = 0.866, 95% CI: 0.858–0.874), and higher accuracy than the PKUPH model (AUC = 0.559, 95% CI: 0.552–0.567) and the Block model (AUC = 0.823, 95% CI: 0.814–0.833). …”
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Identifying the antecedents of wisdom management in organizations using the fuzzy cognitive map method by Mohsen Arefnezhad, Seyedeh Maryam Mousavi Zadeh, Rezvan Mennati

“…The validity and reliability of the research questionnaire were also measured using content validity and test-retests.Findings: The research findings showed that the most important antecedents of wisdom management in organizations are having human-cognitive skills with a central index (26.45), promotion based on competence with a central index (26.27), problem-solving ability (25.57), knowledge and experience of the manager (25.56), strong learning ability (25.44), and independence from sources of power with a central index (25.09).Research limitations: Regarding the limitations of the present study, it should be noted that the most critical limitations of this study include the novelty of its subject and the lack of relevant study resources in this field both inside and outside the country. …”
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Hierarchical Reinforcement Learning for Quadrupedal Robots: Efficient Object Manipulation in Constrained Environments by David Azimi, Reza Hoseinnezhad

“…A novel reward function is central to the method, incorporating sensor-based obstacle observations to optimize the decision-making. …”
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Microwave Tomography System for Methodical Testing of Human Brain Stroke Detection Approaches by Ilja Merunka, Andrea Massa, David Vrba, Ondrej Fiser, Marco Salucci, Jan Vrba

“…It is therefore suitable for large-scale measurements with high variability of measured data for stroke detection and classification based on machine learning methods. In order to verify the functionality of the measuring system, S-parameters were measured for a hemorrhagic phantom sequentially placed on 23 different positions and distributions of dielectric parameters were reconstructed using the Gauss-Newton iterative reconstruction algorithm. …”
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Machine learning prediction model for lateral lymph node metastasis in rectal cancer by Longchun Dong, Shiyong Du, Hongjie Yang, Hongjie Yang, Hongjie Yang, Hongjie Yang, Xipeng Zhang, Xipeng Zhang, Xipeng Zhang, Xipeng Zhang, Zhichun Zhang, Zhichun Zhang, Zhichun Zhang, Zhichun Zhang, Shuan Geng, Shuan Geng, Shuan Geng, Shuan Geng, Yuanda Zhou, Yuanda Zhou, Yuanda Zhou, Yuanda Zhou, Peng Li, Peng Li, Peng Li, Peng Li, Qingsheng Zeng, Qingsheng Zeng, Qingsheng Zeng, Qingsheng Zeng, Yi Sun, Yi Sun, Yi Sun, Yi Sun, Peishi Jiang

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The Effect of Workplace Climate on Psychological Capital and Informal Learning of Physical Education Teachers by Nasser Bai, Zahra Ghasemi

“…Also, the effect of workplace climate on informal learning of physical education teachers was positive and significant. …”
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