Pre-Service Science Teachers’ Learning and Teaching Experiences with Digital Games: KODU Game Lab by Gulsah Uluay, Alev Dogan

Subjects: “…Digital game-based learning…”
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The learning curve for hood‐sparing robotic‐assisted radical prostatectomy: A single‐surgeon experience by Keith R. S. Simpson, Jamie Krishnan, Linda Taylor, Alan McNeill, Daniel W. Good

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Pengaruh Project Based Learning Terhadap Kemampuan Berpikir Peserta Didik: Studi Meta Analisis by Rahmadini Darwas, Rina Sepriana, Asmar Yulastri, Dedy Irfan, Nizwardi Jalinus

“…Based on these findings which were analyzed holistically, it can be concluded that PjBL can improve students' thinking skills in the learning process. Research Implications – These findings provide empirical evidence that PjBL can be used as an effective teaching strategy to enhance students' thinking skills. …”
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Enhancing global model accuracy in federated learning with deep neuro-fuzzy clustering cyclic algorithm by Chin-Feng Lai, Ying-Hsun Lai, Ming-Chin Kao, Mu-Yen Chen

Subjects: “…Federated learning…”
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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…To discuss the analysis and evaluation of highway landslides, the application of data mining methods combined with deep learning frameworks in geologic hazard evaluation and monitoring is explored preliminarily. …”
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Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

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EXAMINING ENGLISH LANGUAGE LEARNING CHALLENGES IN SULAYMANIYAH PRIMARY SCHOOLS: A COMPARATIVE CASE STUDY by Areen Ahmed Muhammed

Subjects: “…english language learning…”
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Development of learning video rotation using Palembang tanjak context to determine students’ mathematical reasoning by Uswatun Hasanah, Ratu Ilma Indra Putri, Zulkardi

Subjects: “…learning video…”
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Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models by Dmytro Chumachenko, Tetiana Dudkina, Sergiy Yakovlev, Tetyana Chumachenko

“…Recommendations are provided on how various data sources can enhance the interpretation quality of machine learning models predicting infectious disease dynamics. …”
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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

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Physician associate (PA) students’ perceptions of team-based learning (TBL) for teaching in Geriatric medicine by Basaam Aweid, Natalie Parnis, David Harrison

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Due-Window Assignment and Resource Allocation Scheduling with Truncated Learning Effect and Position-Dependent Weights by Shan-Shan Lin

“…This paper studies single-machine due-window assignment scheduling problems with truncated learning effect and resource allocation simultaneously. …”
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Learning styles used by first-year undergraduate students in Medical Sciences. Cienfuegos, 2019-2020 by María Cristina Núñez Martínez, Lizgrace Llano Arana, Addys Teresita Stable Rodríguez, Ana Lidia Suárez Denis, Rosa María Masot Rivero, Daylis García Morales

“…<p><strong>Background:</strong> the learning style is directly related to the strategies that a student uses to learn something. …”
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Incorporating specific sambo exercises into distance learning for high school students aged 15-16 by Valeriia Zakharevich, Georgiy Korobeynikov, Olena Nesen, Abdulaziz Xamidjonov

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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…Results show that the OL model as an ensemble learning model outperforms machine learning models, and its accuracy is equal to 80.03 percent. …”
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Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation by Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

Subjects: “…Contrastive learning…”
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. …”
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Analisis Penerimaan Learning Management System Institut Teknologi Garut Menggunakan Technology Acceptance Model by Asri Mulyani, Dede Kurniadi, Mita Hidayani Putri

“…Dikarenakan Learning Management System (LMS)  di Institut Teknologi Garut baru digunakan, maka penelitian ini bertujuan menganalisis penerimaan Learning Management System Institut Teknologi Garut menggunakan metode Technology Acceptance Model, untuk mengetahui pengukuran pengaruh antar konstruk sekaligus sebagai barometer adaptasi penerimaan pengguna terhadap sistem LMS yang digunakan. …”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…By combining advanced graph-based and sequence-based learning techniques, DuGEL addresses the limitations of existing methods and provides a robust framework for the prediction of microbe-disease associations. …”
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