Key Frame Detection in Badminton Swings and Its Application to Physical Education by Jen-Hao Hsu, Chi-Chuan Lee, Jing-Yuan Chang, Duan-Shin Lee

“…Our proposed method uses the MediaPipe framework to extract 3D coordinates of skeleton joints, which serve as input features for a machine learning based model that accurately predicts key frame positions in badminton swing videos. …”
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The Integration of Islamic Values in Cognitive Development by Idi Warsah, Ruly Morganna, Berliani Aslam Alkiromah Warsah, Bizikrika Hably Hudaya Warsah

“… The background of this study is based on the importance of integrating moral education with academic education to create a more holistic learning environment. …”
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Applying self-determination theory in Physical Education: a systematic review by Tong Zhou, Shunan Zhang, Jordi Colomer, Dolors Cañabate Ortíz

“…Also, intrinsic motivation was strongly associated with positive outcomes such as motor skill development, physical activity engagement, emotional attitudes, and cognitive learning. …”
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PENERAPAN MODEL PEMBELAJARAN BERBASIS PROYEK VIDEO GERAK HENTI CERITA RAWA PENING UNTUK PEMBELAJARAN TEKS HIKAYAT by Monika Ridho Utami, Nazla Maharani Umaya

“…This article contains the process and results of applying the Rawa Pening Story Stop Motion Video Project-Based Learning Model for learning saga texts using qualitative methods. …”
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An Intervention to Support Higher Education Teachers’ Teaching Processes and Well-Being: Protocol for an Intervention Study by Liisa Postareff, Anna Parpala, Petri Nokelainen, Merly Kosenkranius, Ilmari Puhakka, Laura Pylväs, Heta Rintala, Milla Räisänen, Anna Wallin

“…The aim of the intervention is to help teachers reflect on their own teaching, offer tools to use learning-focused teaching methods, and increase teachers’ ability to define the problem and use learning-focused teaching methods using guided reflection and mindfulness-based practices. …”
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Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing by Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

“…This article proposes a deep learning method to predict car-sharing demand constructed by a stacked auto-encoder model and a logistic regression layer. …”
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Energy-Efficient DC Power Traction Network Systems for Urban Mass Transportation: A Comparative Study of Optimization Algorithms by Dongxian Yu, Zhixin Wu, Lei Wang, Zaihui Cao, Hamdolah Aliev

“…To validate the proposed method, we compare the performance of the GWO algorithm with other optimization techniques, such as the Teaching-Learning-Based Optimizer (TLBO) and Differential Evolution (DE). …”
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Development of Au-Nanoprobes Combined with Loop-Mediated Isothermal Amplification for Detection of Isoniazid Resistance in Mycobacterium tuberculosis by Jutturong Ckumdee, Thongchai Kaewphinit, Kosum Chansiri, Somchai Santiwatanakul

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Developing an Educational-career guidance Curriculum Framework in the Iran's Education system by Behrooz Rahimi, Rezvan Hakimzadeh, Mohammad Javadipour, Keyvan Salehi, Mohammad KHademi Koleh lou

“…Through formulating the educational -career guidance curriculum framework with a continuous time approach and systematic steps, it is possible to realize the learning outcomes through which students are expected to experience a positive choice of educational-career field in Iran's public education system. …”
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Outcomes of interprofessional education for pharmacy students: a systematic review by Jiaqi Ni, Qingming Liu, Xinyao Li, Min Chen

“…Abstract Background Interprofessional education (IPE) refers to a teaching and learning method in which students from two or more professions learn about, from, and with each other to enable effective collaboration and improve health outcomes. …”
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Effectiveness of Toolbox Talks as a Workplace Safety Intervention in the United States: A Scoping Review by Gregory D. Kearney, Jamie Hisel, John A. Staley

“…The Adult Learning Theory served as the framework to assess evidence-based studies. …”
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Cassava Diseases Classification using EfficientNet Model with Imbalance Data Handling by Stephany Octaviani Ngesthi, Lili Ayu Wulandhari

“…Integration with SMOTE notably boosts the F1-Score to 82%, showcasing the efficacy of oversampling methods in enhancing model performance. Conversely, employing data augmentation, both basic and deep learning-based, lowers the F1-Score to 74% and 65% respectively, yet it results in a more balanced distribution of true positives across disease classes. …”
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Are Serious Games an Effective Teaching Tool in Anatomy Education? A Systematic Review by Tariq Al Habsi, Hashim Alibrahim, Adhari Al Zaabi, Sreenivasulu Reddy Mogali, Tan Jun Wen, Mickael Joseph, Eiman Al-Ajmi, Srinivasa Rao Sirasanagandla

“…Background: Human anatomy is a crucial component of medical curricula, requiring innovative methods to enhance students’ learning outcomes. Recently, various technology-based methods have emerged to address the limitations of traditional anatomy teaching methods. …”
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An Intelligent Technique for Coordination and Control of PV Energy and Voltage-Regulating Devices in Distribution Networks Under Uncertainties by Tolulope David Makanju, Ali N. Hasan, Oluwole John Famoriji, Thokozani Shongwe

“…Furthermore, Machine Learning (ML) models were trained as controllers to determine the reactive-power setpoints for the PVSIs and DSTATCOMs as well as the optimal OLTC tap position required for voltage stability in the network. …”
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MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

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Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO by Jian Tiong Lim, Achnaf Habibullah, Eddie Yin Kwee Ng

“…Ultimately, the proposed methods aim to enhance GT operations via a data-driven digital twin concept combination of deep learning and optimization algorithms.…”
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The role of intraoperative monitoring in target selection in deep brain stimulation: A single centre study by Sandro Ibrulj, Dejan Georgiev, Žiga Samsa, Polona Mušič, Mitja Benedičič, Maja Trošt

“…Our findings show a learning curve in successful preoperative planning in our centre achieved through experience.…”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…The detailed evaluation demonstrates that our approach significantly outperforms existing methods across a range of scenarios. It achieves a high detection rate of 94.2% for known attacks and 82.7% for zero-day exploits, while maintaining a low false positive rate of 3.8%. …”
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The Use of Blended Teaching in Higher Medical Education during the Pandemic Era by Xue-Tao Fu, Yi Hu, Bing-Chun Yan, Yun-Gen Jiao, Shi-Jun Zheng, Ying-Ge Wang, Jiang-Yun Zhang, Zheng-Bing Wang

“…The blended teaching was based on a Massive Open Online Course, problem-based learning, and case-based learning and supplemented by Tencent video conferences, QQ messaging groups, and other auxiliary teaching tools. …”
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance by Fauzi Adi Rafrastara, Wildanil Ghozi, Ramadhan Rakhmat Sani, Lekso Budi Handoko, Abdussalam Abdussalam, Elkaf Rahmawan Pramudya, Faizal M. Abdollah

“…As malware has progressed from its simpler, monomorphic variants to more sophisticated forms like oligomorphic, polymorphic, and metamorphic, a machine learning-based detection system is now required, surpassing the limitations of traditional signature-based methods. …”
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