Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…However, the current application of smart classroom systems is still in its early stages, lacking real-time feedback and real-time positive intervention functions for students. To solve this problem, a smart classroom system based on emotional learning was built, and edge computing was introduced to improve the real-time and intelligent level of the classroom, so as to achieve real-time feedback of students' emotional state during learning. …”
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L’aide du numérique aux activités d’auto-évaluation by Stéphanie Mailles-Viard Metz

“…We describe synchronous (chat) and asynchronous (forum) communication tools, sharing tools (blogs and e-portfolio), individual (mind maps) and collective (shared whiteboard) production tools and learning management tools (LMS and personal learning environment). …”
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Investigating the Integration of Biomimicry and Eco-Materials in Sustainable Interior Design Education by Iman Ibrahim, Rania Nasreldin

“…Changes in green and sustainable design concepts used in student capstone projects, which incorporated the reiteration of learning objectives aimed at enhancing student learning outcomes, were identified. …”
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Long-term Solar and Wind Energy Forecasting Using Gaussian Processes with Tree-based Multiple Kernel Search by James David Abiog, Vina Cielo Clarisse Cacal, Kenn Cadiz, Karl Ezra Pilario

“…Long-term forecasting of renewable energy (RE) sources is important for proper energy planning and operations. Machine learning models are now being adopted by more and more researchers for this purpose. …”
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EL USO DE LAS REDES SOCIALES Y EL DESEMPEÑO ACADÉMICO DE LOS ADOLESCENTES DE BÁSICA SECUNDARIA by JHON JAIRO VALENCIA ZULUAGA

“…Currently, ICTs are a powerful agent of change to redesign learning environments and teaching resources, allowingpedagogical models to be more flexible and qualified in terms of school functioning, the curriculum, the role of theteacher and the learning experiences that It is offered to the student. …”
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Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader. by Jianzhuo Zhang, Ce Chen, Xiaoyu Ding, Tao Wang, Chuanxu Wan, Wenliang Li

“…This system incorporates functions including digital modeling of coal-rock, simulation of mechanical properties of the cutting unit, and integration of virtual and physical experiments. …”
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Exploring emotional dimensions in educational data: A neutrosophic sentiment analysis approach by Joffre Paladines Rodríguez, Adrián del Pozo Biscarra, Felix Tamayo

“…Transferring educational theoretical application from this new field study to practical classroom situations through adjustable and fluid pedagogical teaching opportunities championing the use of digital environments for enhanced learning and student wellness. …”
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How Do Teachers Use Digital Technology When They Engage Students in Mathematical Inquiry? by Roar Bakken Stovner, Ove Edvard Hatlevik

“…We also conducted a qualitative analysis of the functions that digital technology had for mathematical inquiry. …”
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Arduino-based devices in healthcare and environmental monitoring by Nkgaphe T. Tsebesebe, Kelvin Mpofu, Sudesh Sivarasu, Patience Mthunzi-Kufa

“…Furthermore, the review highlights the use of machine learning algorithms to enhance the functionality of user-defined prototypes, aiming to realize PoC devices. …”
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Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer's disease detection. by Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang

“…This study aims to develop a novel deep learning (DL) model, Hybrid-RViT, to enhance the detection of AD. …”
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The Effect of Three Types of Task Engagement Activities on Incidental Acquisition of Second Language Vocabulary by Davoud Amini

“…Cognition, motivation and affect are the three dimensions of mental functioning, each having a share in determining learning processes including second language acquisition. …”
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Optimizing Teacher Performance Through The Implementation Of Progressive Work Culture And Dynamic Leadership Styles by Asde Rahmamulyati, Yunus Handoko, Murtianingsih Murtianingsih

“… Education in schools cannot be separated from learning. Learning is designed in such a way that the material provided by the teacher reaches the students. …”
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Generalization challenges in video deepfake detection: methods, obstacles, and technological advances by LI Junjie, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…Regarding the challenges of cross-dataset detection, the paper analyzes how differences in feature distributions between datasets lead to the performance degradation of traditional deep learning models in cross-domain applications. To address this issue, researchers have proposed various solutions, such as neural network architecture design, multi-task learning, new loss functions, data augmentation, innovative training procedures, and the integration of biometric recognition technologies. …”
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Study on youth handball regulations: a documental analysis on the mandatory use of individual defensive system in under-12 and under-14 competitions by Lucas Leonardo, Alcides José Scaglia

“…Youth competitions should be transformed into a learning environment appropriate to the development of physical, psychological, technical-tactical skills adjusted to young players. …”
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Study protocol: The efficacy of mushroom to prevent cognitive decline in at-risk middle-aged adults and young-olds living in the community by Jiatong Shan, Jiatong Shan, Jiatong Shan, Luwen Cao, Jiuyu Guo, Jiuyu Guo, Jiuyu Guo, Kai Xuan Lim, Kai Xuan Lim, Kai Xuan Lim, Na Li, Na Li, Na Li, Na Li, Yinxia Chao, Yinxia Chao, Yizhen Xie, Jian Chen, Wei Ma, Su Lin Lim, Irwin Kee-Mun Cheah, Mihir Gandhi, Mihir Gandhi, Tih-Shih Lee, Lei Feng, Lei Feng, Lei Feng, Kaisy Xinhong Ye, Kaisy Xinhong Ye, Kaisy Xinhong Ye

“…The powder contains 7.0 mg/g of ergothioneine (dry weight).MeasurementsCognitive function including Mini Mental State Examination, Rey Auditory Verbal Learning Test, Symbol Digit Modality test, Clinical Dementia Rating etc. along with mental health and biological markers will be measured at baseline, 1 year, and 2 years after baseline.…”
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Regionally Specific Regulation of Sensorimotor Network Connectivity Following Tactile Improvement by Stefanie Heba, Melanie Lenz, Tobias Kalisch, Oliver Höffken, Lauren M. Schweizer, Benjamin Glaubitz, Nicolaas A. J. Puts, Martin Tegenthoff, Hubert R. Dinse, Tobias Schmidt-Wilcke

“…Correlations between inherent, task-free low-frequency fluctuations in the blood oxygenation level-dependent (BOLD) signals of the brain provide a potent tool to delineate its functional architecture in terms of intrinsic functional connectivity (iFC). …”
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Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey by Yijia WAN, Liping GU

“…It is suggested that AIGC tool developers and library service designers consider the functional advantages and convenience. On the one hand, it is suggested that they pay attention to the functional value of the tool, that is, the auxiliary role to the graduate study and scientific research; on the other hand, they consider whether the tool is design-friendly, easy to operate, with low technical threshold and easy to use on an ongoing basis. …”
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Relationships between physical frailty and cognitive decline over 8 years: A longitudinal study among community-dwelling older Chinese immigrants by Fengyan Tang, Qingqing Yin, Wendi Da, Guoping Jin, Yanping Jiang

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Educational component of digital competence of researchers and academic staff: the results of a statement experiment by Mintii Iryna, Vakaliuk Tetiana

“…The limited use of specialized functions and mind maps is identified as a problematic aspect. …”
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Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy by Reski Khelifi, Mawloud Guermoui, Abdelaziz Rabehi, Ayoub Taallah, Abdelhalim Zoukel, Sherif S. M. Ghoneim, Mohit Bajaj, Kareem M. AboRas, Ievgen Zaitsev

“…The specified set of features (intrinsic mode functions (IMFs)) is utilized for training and improving our forecasting extreme learning machine model. …”
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