The Success of Learning Organisation: Values Contextualization Dimension by Biruta Švagždienė, Edmundas Jasinskas, Artūras Simanavičius

“…Methods used for scientific research – scientific literature analysis, structured interview. …”
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Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Machine learning is applied in every field of human activity using digital data. …”
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Socio-scientific issues-based electronic-learning material reveals a high incorporation of lifelong learning, ethical, and sustainability issues by Rinalyn G. Magtibay

“…This study aims to develop an SSI-based electronic learning material [e-LM] that will respond to the current educational landscape. …”
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Personally-oriented approach in the system of education in the humanities: From monologism to dialogical model of teaching by A. A. Somkin

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Teaching English as a Foreign Language Using Multiple Intelligences, Cooperative Learning and Taking into Account the Pupils’ Perceptual Learning Styles by Imene CHEBRI

“… This research aims at investigating whether the implementation of cooperative learning (CL) activities, involving the insights given by Howard Gardner’s theory of multiple intelligences (MI), and taking into account the pupils’ perceptual learning styles (PLS) in secondary school EFL classrooms, will have a positive effect on pupils’ English language proficiency and attitude. …”
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Management of Active Records in Referral Hospitals: A Case Study of Kisoro Hospital. by Hashakimana, Obed

“…Interview and observation methods were used 18 respondents were involved in the data collection. …”
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Dynamic equivalent modelling for active distributed network considering adjustable loads charging characteristics by Jingwen Wang, Jiehui Zheng, Zhigang Li, Qing‐Hua Wu

“…The method proposed in this paper fully utilizes the superiority of reinforcement learning in decision making, while the method combines the excellent feature extraction capability of deep learning. …”
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Explainable Clustered Federated Learning for Solar Energy Forecasting by Syed Saqib Ali, Mazhar Ali, Dost Muhammad Saqib Bhatti, Bong Jun Choi

“…Explainable Artificial Intelligence (XAI) is a well-established and dynamic field defined by an active research community that has developed numerous effective methods for explaining and interpreting the predictions of advanced machine learning models, including deep neural networks. …”
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State Estimation for Active Distribution Networks Considering Bad Data in Measurements and Topology Parameters by Yizhe Chen, Yifan Gao, Kai Gan, Ming Li, Chengzhi Wei, Xiaoyi Guo, Ruifeng Zhao, Jiangang Lu, Liang Che

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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…<p>Estimating ecosystem–atmosphere fluxes such as evapotranspiration (ET) in a robust manner and at a global scale remains a challenge. Methods based on machine learning (ML) have shown promising results in achieving such upscaling, providing a complementary methodology that is independent from process-based and semi-empirical approaches. …”
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Knowledge management system as a basis for smart learning by Natalia V. Dneprovskaya

“…Creating the appropriate content of education becomes a difficult task with the high rate of development of digital technologies and methods to use them. Now, in smart learning, the technical aspects of the organization of the educational process often overshadow aspects, related to the methodology or content of smart learning. …”
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Improving the Efficiency and Quality of Education as the Basis for Successful Digitalization of the Economy by I. I. Shpak, S. N. Kasanin, A. S. Stepanets

“…The determining influence of the effectiveness and quality of education systems on all spheres of human activity has been studied: economic, social, socio-political, everyday and spiritual. …”
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STUDENTS’ INTRINSIC MOTIVATION USING GAME-BASED ACTIVITIES by Nestor L. Lasala Jr

“… This study sought to determine the effects of game-based activities (GBAs) on students’ intrinsic motivation. …”
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UBE2D1 as a key biomarker in systemic juvenile idiopathic arthritis: a new perspective on diagnosis and disease activity assessment by Qiang Luo, Han Hao, Luo Xiwen, Xiang Qiu, Dawei Liu, Yun Liu, Fengning Li, Kening Lu, Xiya Luo, Chenxi Ma, Xiaodong Zhao, Yunfei An, Xuemei Tang

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Revitalizing Physiology Education: Integrating Notability and Video-Based Learning by James Davis

“…These findings provide evidence that this novel teaching method improves student engagement and comprehension in physiology courses by leveraging technology, active participation, and visual aids to create an enriched learning experience. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…The high-proportion integration of renewable energy sources, represented by wind power and photovoltaics, into active distribution networks (ADNs) can effectively alleviate the pressure associated with advancing China’s dual-carbon goals. …”
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Cognitive Model of Electronic Learning Trajectories Based on Digital Footprint by T M. Shamsutdinova

“…The purpose of this study is to develop a cognitive model of the learning path based on the digital footprint and analyze the results of its testing.Materials and methods. …”
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Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…The findings underscore the potential of ML algorithms capability to combat money laundering and indeed enhance anti-money efforts and offer financial institutions a powerful, resource-efficient method for fraud detection in large-scale transaction environments.…”
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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

“… Conventional Team-Based Learning (TBL) uses a paper-based system to deliver a team-quiz component of the instructional method. …”
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Attacks and countermeasures on federated learning via historical knowledge modeling by Songsong Zhang, Zhengliang Jiang, Hang Gao, Suying Gui, Tiegang Gao

“…At the same time, the historical knowledge also serves as a tool for detecting and neutralizing malicious activities. In this paper, we address the challenge by proposing a novel attack method and a robust defense framework. …”
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