Cultivating the Language Skills of Elementary School Students: Effective and Enjoyable Learning Styles and Strategies by Nursalim Nursalim, Ahmad Syarief, Fuji Rahayu, Tiara Trirahmayati

“…The results of the study show that learning styles and strategies based on language games, the use of picture story media, project-based literacy approaches, as well as interactive and collaborative methods contribute positively to the improvement of students’ language skills. …”
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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

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Enhancing the classification of isolated theropod teeth using machine learning: a comparative study by Carolina S. Marques, Emmanuel Dufourq, Soraia Pereira, Vanda F. Santos, Elisabete Malafaia

“…This task is further complicated by intra-class variability, which makes it ideal for automation via machine learning (ML) techniques. In this study, we compared six different ML techniques based on datasets with morphometric features used to classify isolated theropod teeth at both genus and higher taxonomic levels. …”
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Strategic integration of technology to foster students’ learning outcomes and motivation in legal English lessons by La Nguyen Binh Minh

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CausMatch: Causal Matching Learning With Counterfactual Preference Framework for Cross-Modal Retrieval by Chen Chen, Dan Wang

“…However, most existing methods learn cross-modal attention based on conventional likelihood, leading to the fine-gained matching from regions and words containing numerous invalid local relationships and false global connections. …”
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Deep learning segmentation of soil constituents in 3D X-ray CT images by Maxime Phalempin, Lars Krämer, Maik Geers-Lucas, Fabian Isensee, Steffen Schlüter

“…However, difficulties arise because of the overlapping X-ray attenuation of soil constituents, which makes segmentation based on voxel intensity alone impossible. In this study, we explore the potential of nnUNet, a deep learning-based semantic segmentation model, for applications in soil science. …”
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Exploring student perceptions of the Osmosis digital learning platform in undergraduate medical education and its influences on motivation and inclusivity by Sanat Kulkarni, Erin Lawson-Smith, Laura Mongan, Rachel Westacott, Dawn Jackson

“…Conclusion Digital learning tools play an increasingly important role within modern medical education, positively impacting student motivation and inclusion. …”
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Predicting high confidence ctDNA somatic variants with ensemble machine learning models by Rugare Maruzani, Liam Brierley, Andrea Jorgensen, Anna Fowler

“…Accurate somatic variant detection in circulating cell free DNA (cfDNA) NGS data requires filtering strategies to remove germline variants, and NGS artifacts. Rule-based variant filtering methods either remove a substantial number of true positive ctDNA variants along with false variant calls or retain an implausibly large number of total variants. …”
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From Play to Progress: Student Learning of Social Skills with a Solution-Focused Approach by Shuanghong Jenny Niu, Hannele Niemi, Jing Yang, Jun Wang, Hao Wang, Jiayi Li, Feng Liu

“…Practical implications for educators include promoting playful learning activities and strength-based solution-focused approaches to support social–emotional development and create a positive learning environment.…”
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Seismic fault identification of deep fault-karst carbonate reservoir using transfer learning by Hanqing Wang, Han Wang, Kunyan Liu, Jin Meng, Yitian Xiao, Yanghua Wang

“…To address these limitations, this study proposes a transfer learning–based strategy for fault identification in deep fault-karst carbonate formations. …”
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Fostering Medical Education by Role Reversal and Analyzing If Pedagogy by Students Can Enhance Their Learning by Konakanchi Suresh, Hirok Chakraborty, R. Sindhu, A. V. Vinay, Swikruti Behera

“…Materials and Methods: A questionnaire-based quasi-experimental cross-sectional study was conducted with 1st-year MBBS students (n = 70). …”
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Bibliometric Analysis: The Use of Quizizz Paper Mode Application to Increase Student Learning Motivation by Nor Kamaliah, Hamsi Mansur, Sulistyo Rini

“…The results and discussion show that Quizizz paper mode positively influences student learning motivation through a fun, effective, and innovative interactive method that supports the learning process. …”
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The Influence of Flashcard on Arabic Learning Outcomes of Shorof Subject for Junior High School Students by Amy Fitriani Siregar, Ananda Zalfa Firdaus, Agung Setiyawan, Dina Ayu Wulandari, Lutvi Yunita Putri Damayanti, Syifaaussakinah Syifaaussakinah

“…Based on the valid test results, it was suggested that Shorof flashcards can be used in various institutions as Shorof learning subject in general to increase the learning methods more creative and innovative.…”
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Comparison of the learning outcomes between flipped classroom and interactive lectures among medical undergraduates by Simi Kurian, Manu Mathews, Binoo Divakaran

“…Conclusion: Based on our study, flipped classroom method is having better learning outcome than interactive lectures in terms of post-test scores as well as knowledge retention test scores after 1 month. …”
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Digital Learning Leadership Practices in Technology Integration: A Systematic Review and Framework Synthesis by Mohammad Ghahramani, Mahmoud Abolghasemi, Esmaeil Azimi, Ebrahim Azarshab

“…Results: Out of 6441 results from primary and supplementary searches, 19 eligible studies were chosen within five framework domains: Establishing and conveying the vision (creating a shared vision of technology integration, sharing vision continuously, and modeling technology use); Facilitating a high-quality learning experience for students (making data-based decisions, promoting technological pedagogy, and digital citizenship education); Building professional capacity (creating professional development opportunities, encouraging a professional learning community, embracing job-embedded learning, and encouraging differentiated learning); Creating a supportive organization for learning (providing appropriate resources, promoting a collaborative culture, leading change, supporting risk-taking, and fostering a positive attitude towards technology); And connecting with external partners (cultivating communication networks within society, and involving parents in education). …”
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Learning Intelligent for Effective Sonography (LIFES) Model for Rapid Diagnosis of Heart Failure in Echocardiography by Lies Dina Liastuti, Bambang Budi Siswanto, Renan Sukmawan, Wisnu Jatmiko, Idrus Alwi, Budi Wiweko, Aria Kekalih, Yosilia Nursakina, Rindayu Yusticia Indira Putri, Grafika Jati, Mgs M Luthfi Ramadhan, Ericko Govardi, Aqsha Azhary Nur

“…Background: The accuracy of an artificial intelligence model based on echocardiography video data in the diagnosis of heart failure (HF) called LIFES (Learning Intelligent for Effective Sonography) was investigated. …”
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Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images by Qingning Yang, Fengxi Chen, Li Li, Rong Zeng, Jiaqing Li, Jingxu Xu, Chencui Huang, Junbang Feng, Chuanming Li

“…In this study, a deep learning model was established to diagnose and measure IA automatically based on the original MR images.MethodsA total of 1,014 IAs (from 852 patients) from hospital 1 were included and randomly divided into training, testing, and internal validation sets in a 7:2:1 ratio. …”
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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma by Taotao Yang, Xianqi Wang, Yuan Jin, Xiaohong Yao, Zhiyuan Sun, Pinzhen Chen, Suyi Zhou, Wentao Zhu, Wei Chen

“…To evaluate its diagnostic performance, we compared the DLRPC model against single-modality models and a decision level fusion model based on Dempster-Shafer theory. Model performances metrics, including area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were used for evaluation. …”
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Exploring the Influencing Factors of Learning Burnout: A Network Comparison in Online and Offline Environments by Jiayao Lu, Sihang Zhu, Ranran Wang, Tour Liu

“…By applying network analysis and network comparison methods, and based on the Social Comparison Theory and the Affective Socialization Heuristics Model, it was found that under the online learning condition the motivation to pursue value directly affects learning burnout. …”
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Optimizing Q-Learning for Automated Cavity Filter Tuning: Leveraging PCA and Neural Networks by Aghanim Amina, Otman Oulhaj, Oukaira Aziz, Lasri Rafik

“…This paper presents a reinforcement learning-based approach to automate the tuning of a 6thorder combline bandpass filter, operating at 941 MHz, using a Q-learning algorithm. …”
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