A Novel Online System Implementation to Enhance Team-Based Learning at a Medical School by Shaban S, Zafar I, Tariq MI, Magzoub ME

“…Sami Shaban, Imran Zafar, Mohammad Irfan Tariq, Mohi Eldin Magzoub Department of Medical Education, UAE University, Alain, United Arab EmiratesCorrespondence: Sami Shaban, Department of Medical Education, United Arab Emirates University, POBox 15551, Alain, United Arab Emirates, Tel +971 37137199, Email sami.shaban@uaeu.ac.aeIntroduction: Team-Based Learning (TBL) is an effective learning model utilized in education to address the concerns of student active learning, participation, critical thinking and teamwork. …”
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Exploring the experiences of sonography students with simulation‐based learning: A perspective from South Africa by Geordean Schwartz, Kathleen Naidoo, Ferial Isaacs

“…Abstract Introduction Simulation‐based learning (SBL) is widely used in healthcare education to provide a safe environment for students to practice clinical scenarios without causing patient harm. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This study highlights the technological integration, addresses the challenges, and the substantial enhancements in automated machining processes facilitated by this innovative approach.Methods This study introduces a sophisticated Multi-level Video Transformer algorithm-based video classification model, the Multi-level Video Transformer, designed for high-level semantic video representation learning. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Firstly, features were extracted through time, frequency domain, and nonlinear analyses, and non-parametric tests were performed to analyze the differences in these features under different driving states, thus selecting an effective feature subset. Secondly, based on this, an impaired driving state recognition model was established by combining feature recursive elimination and machine learning, and the impact of different modal inputs on the model performance was analyzed. …”
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IMPLEMENTASI MODEL PEMBELAJARAN PROJECT-BASED LEARNING (PJBL) DALAM PENGEMBANGAN BERPIKIR KRITIS by Dinah Mardatillah, Dadan Setiawan

“…This study aims to analyse the effectiveness of Project-Based Learning (PjBL) learning model in improving critical thinking skills of elementary school students. …”
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A New Hyperspectral Image Identification Method Based on LSDA and OSELM by Chengjiang Zhou, Mingli Yang, Sasa Duan, Lu Shao, Zhilin Zhang, Yunfei Liu

“…To solve the problems of information loss and nonlinear transformation of hyperspectral image dimensionality reduction methods and the problem that recognition methods are sensitive to noise and cannot be trained online, a new hyperspectral image identification method based on locality sensitive discriminant analysis (LSDA) and online sequential extreme learning machine (OSELM) is proposed. …”
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Lightweight Infrared Small Target Detection Method Based on Linear Transformer by Bingshu Wang, Yifan Wang, Qianchen Mao, Jingzhuo Cao, Han Zhang, Laixian Zhang

“…To deal with the issues, we propose a lightweight infrared small target detection method based on a linear transformer named IstdVit, which achieves high accuracy and low delay in infrared small target detection. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…In this article, a deep learning model fractional lyrebird optimization algorithm–deep stack autoencoder (FLOA-DSA) is developed for the detection of SIP-based distributed reflection denial-of-service (DRDoS) attacks in SIP network. …”
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LOCAL LINEAR EMBEDDING ALGORITHM FOR PARAMETER MATRIX MEASUREMENT IN SYMMETRIC POSITIVE DEFINITE MANIFOLD (MT) by LIU QingQiang, HE HongKai, ZHENG ChangMin, SUN YanRu, LIU ZiXuan

“…First, in order to find a suitable measurement method on the symmetric positive definite manifold to improve the performance of the algorithm, an efficient Riemann space metric learning method is introduced. …”
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Civil aircraft longitudinal center-of-gravity position estimation combining domain knowledge and simulation data by Shaobo Zhai, Guangwen Li, Xinyang Du, Mingshan Hou

“…A novel aircraft LCG position estimation algorithm combining extreme learning machine (ELM) and particle swarm optimization (PSO) is developed. …”
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Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

“…Then, in the local leader stage and the local leader decision stage of the SMO, the dynamic probability adaptive T-distribution method and opposition-based learning strategy are used to replace the greedy selection strategy, increase the position disturbance, and balance the global search and local search ability of the algorithm, so as to improve the performance and convergence speed of the algorithm. …”
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Development and Validation of the Pre-service Teacher Competency Scale in an Online Learning Environment Using the Scenario Method by Jiwon Baek, Jiwoo Kim, Hyeonseong Lee, Youn-Jeng Choi

“…This study aims to address this gap by developing and validating a scale to measure pre-service teacher competency in an online learning context using the scenario method. After a comprehensive literature review, seven competencies of pre-service teachers in an online learning environment were constructed: design/planning competency, social competency, instructive competency, technological competency, management competency, positive teacher attitude competency, and learning competency. …”
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Developing A Model For Improving The Business Performance Of Nanotechnology Knowledge-Based Companies Based On Technological Learning Modes by Hedayat Samadiansari, Mohammadreza Razavi, Parivash Jafari

“…The purpose of this research is to provide an integrated model for improving the business performance of knowledge-based nanotechnology companies based on technological learning modes. …”
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Trajectory-Driven Deep Learning for UAV Location Integrity Checks by Mincheol Shin, Sang-Yoon Chang, Jonghyun Kim, Kyungmin Park, Jinoh Kim

“…Our extensive experimental results support the feasibility of our trajectory-based analysis approach, showing up to 98.9% classification performance with negligible false positive rates (lower than 1%) for ensuring location consistency (even without referring to the GPS signal-specific information).…”
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The Effect of Audio Visual-Based Inquiry Learning Model on Elementary Student Learning Outcomes in Science and Technology Subjects in Class IV by Nelli Kristina Sianturi, Juliana, Patri Janson Silaban, Bogor Lumbanraja, Nova Florentina Ambarwati

“…Through the t-test, it can be concluded that there is a significant positive effect between the  audio-visual media-based inquiry learning model on class IV student learning outcomes in the science and technology subject UPT SD Negeri 068008 Medan Tuntungan in the academic year 2023/2024. …”
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Deep reinforcement learning enhanced PID control for hydraulic servo systems in injection molding machines by Xiaoxi Hao, Zengmiao Xin, Weizhuo Huang, Sicheng Wan, Guangfan Qiu, Tianlei Wang, Zhu Wang

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Multi-Timescale Voltage Control Method Using Limited Measurable Information with Explainable Deep Reinforcement Learning by Fumiya Matsushima, Mutsumi Aoki, Yuta Nakamura, Suresh Chand Verma, Katsuhisa Ueda, Yusuke Imanishi

“…The approach estimates the voltage at each grid node using a Deep Neural Network (DNN) that processes measurable substation data. Based on these estimated voltages, the method determines optimal LRT tap positions and PCS reactive power outputs using Deep Reinforcement Learning (DRL). …”
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Research on aircraft engine thrust estimation method incorporating attention mechanism by ZOU Yuhang, ZHAO Yongping

“…The study of thrust prediction under different conditions based on transfer learning methods indicates that Fine-tuning should be selected when there is limited target domain data，while the modified DANN method will yield a model with higher accuracy when there is sufficient target domain data.…”
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Transformation of Student Science Achievement Through Project-Based Learning (PjBL): A Meta Analysis Study by Islamiani Safitri

“…This study aims to evaluate the effectiveness of Project-Based Learning (PjBL) in enhancing students' science achievements through meta-analysis study. …”
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An Innovative Indoor Localization Method for Agricultural Robots Based on the NLOS Base Station Identification and IBKA-BP Integration by Jingjing Yang, Lihong Wan, Junbing Qian, Zonglun Li, Zhijie Mao, Xueming Zhang, Junjie Lei

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