A Deep Learning Approach for a Source Code Detection Model Using Self-Attention by Yao Meng, Long Liu

“…With the development of deep learning, many approaches based on neural networks are proposed for code clone. …”
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FedQP: Large-Scale Private and Flexible Federated Query Processing by Hussain M. J. Almohri, Layne T. Watson

“…We show that the caching algorithm in <monospace>FedQP</monospace> reduces redundant client communications during query processing. In addition, we present a privacy analysis that shows that our method outperforms prominent gradient-based approaches to federated learning. …”
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Validity of Problem-Based E-Magazine on Human Digestive System for Primary School Science Learning by Nikita Hoirun Nisak, Ade Cyntia Pritasari

“… The aim of this research is to find out and describe students' difficulties in learning to read and write beginnings in class II at SDN Slarang 03. …”
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A robust and personalized privacy-preserving approach for adaptive clustered federated distillation by Mai Shawkat, Zainab H. Ali, Mofreh Salem, Ali El-desoky

“…Abstract Federated learning (FL) is a promising approach that addresses privacy, and scalability concerns in contrast to traditional centralized methods. …”
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Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases by Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza

“…ABSTRACT Purpose This study presents NeuroDL, a novel deep learning‐based diagnostic framework designed for the automated detection of brain tumors and Alzheimer's disease (AD) using magnetic resonance imaging (MRI). …”
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History-Based Image Cloud Recognition Learning Method in Strengthening Students' Historical Thinking Skills by Syaiful Amin, Sariyatun Sariyatun, Gunarhadi Gunarhadi, Purwanta Purwanta

“…The history learning media used by history teachers is still in the form of presentation media that collaborates with static images or text, making it less interesting and monotonous. …”
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Development of BRUSLE hologram augmented reality based on Android apps by Engklek ethno-games Learning by Mochammad Faiz Nur Falah, Muhammad Iqbal Rifqy, Ailsa Tsabita Primrose, Taufiq Satria Mukti

“…Curved Side Spaces (BRSL) in learning need to be presented with learning media to make it easier for students to understand the concept. …”
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Lessons learned from hybrid surgery with preoperative coil embolization for an aberrant artery in pulmonary sequestration by Keita Nakanishi, Masaki Goto, Shota Nakamura, Toyofumi Fengshi Chen-Yoshikawa

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Enhancing Digital Literacy through Differentiated Learning in Islamic Religious Education at SMAN 1 Rogojampi by Baraz Yoechva Alfaiz, Siti Aimah

“…Learning differentiation focuses on adjusting the learning process. …”
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Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients by Ahmad A. Abujaber, Ibrahem Albalkhi, Yahia Imam, Said Yaseen, Abdulqadir J. Nashwan, Naveed Akhtar, Ibrahim M. Alkhawaldeh

“…Abstract This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital mortality, using machine learning models and SHapley Additive exPlanations (SHAP) analysis. …”
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Bridging readiness and reasoning: A mixed methods study on learning readiness and students’ argumentation in mathematics by Nur Fauziyah, Erfina Jamil, Fatimatul Khikmiyah, Sarwo Edy

“…Data were analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion. The results showed a positive correlation between learning readiness and students' argumentation ability in mathematics learning. …”
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ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers by Kathryn O’Neill, Regina Shaw, Isobel Bolger, Oliver H. Tam, Hemali Phatnani, Molly Gale Hammell

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Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission by Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh

“…Variables that had a significant p-value (less than 0.05) were selected as features for the machine learning approach. The input data were utilized to train nine different machine learning models. …”
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PENGARUH STRATEGI PROBLEM BASED LEARNING DAN MOTIVASI BERPRESTASI TERHADAP KETERAMPILAN BERPIKIR KRITIS by Supriyanto Supriyanto, Achmad Noor Fatirul, Djoko Adi Walujo

“…Data analysis used two-way analysis of variance (ANAVA) technique. Based on data presentation and discussion, it can be concluded: 1) problem based learning strategy is better than inquiry on students’ critical thinking skills. 2) there is a significant difference between high achievement motivation and low motivation on strudents’ critical thinking skills. 3) learning strategies and achievement motivation have an effect on students’ critical thinking skills.   …”
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Academic competition-based learning cultivates scientific literacy to promote professional competitiveness in medical undergraduates by Yan Ruan, Junlei Zhang, Jiali Wang, Rui Jian, Feng Mei, Hongli Li, Yun Zhang, Qiwen Hu, Lan Xiao, Yi Yang, Ming Li, Jiaxiang Xiong, Yanping Tian

“…Significant gains were observed in scientific knowledge acquisition and scientific reasoning (p &lt; 0.01). Scores for active learning, critical thinking, and collaborative communication were significantly higher in the iGEM group (p &lt; 0.05). …”
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Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning by Tiantian Yu, Tiantian Yu, Tiantian Yu, Guiying Wang, Guiying Wang, Guiying Wang, Xia Xu, Xia Xu, Xia Xu, Jianying Yan, Jianying Yan, Jianying Yan

“…This involved integrating WGCNA, GO and KEGG pathway analyses, constructing PPI networks, applying machine learning algorithms, performing gene GSEA, and conducting immune infiltration analysis to identify the key hub genes related to oxidative stress. …”
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Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches by Taoran Sheng, Manfred Huber

“…We develop and empirically compare: (1) traditional fully supervised learning, (2) basic unsupervised learning, (3) a weakly supervised learning approach with constraints, (4) a multi-task learning approach with knowledge sharing, (5) a self-supervised approach based on domain expertise, and (6) a novel weakly self-supervised learning framework that leverages domain knowledge and minimal labeled data. …”
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Microsoft Teams and Microsoft Whiteboard – Between Reality and Opportunities by Mariya Zhelyazkova

“…The article presents some of the results of a survey among teachers on distance learning platforms with focus on Microsoft Teams. …”
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Éléments conversationnels du clavardage : un entraînement à l'expression orale pour les apprenants de langues à distance ? by Vincenza Tudini

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IMPLEMENTATION OF DIGITAL ENGLISH LEARNING TOWARD JUNIOR HIGH SCHOOL STUDENTS BASED ON MERDEKA CURRICULUM by Octa Pratama Putra

“…Apart from that, junior high school students in this research used learning media, it is barcode scanners as one of the learning media to make the digital system of the learning process at their meetings. …”
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