The Standardized Data Management Plan for Educational Research by Sebastian Netscher, Harald Kaluza, Reiner Mauer, Kati Mozygemba, Karsten Stephan

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Analysis of factors influencing innovation and entrepreneurship education based on analytic hierarchy process by Xianchao Zhou, Yanbo Cheng

“…Our results show that government funding support is the most critical factor, followed by policy orientation, teaching methods, project-based learning, and teacher entrepreneurial experience. These five indicators account for 72% of the total weight of all factors. …”
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Persistent Idiopathic Facial Pain Associated with Somatoform Disorder in an 11-Year-Old Boy by Yoshihiko Sakurai, Asami Fujii, Fumie Kato

“…Psychological counseling revealed psychological stress related to his out-of-school life. Upon learning stress management through psychotherapy, his general malaise gradually improved, and he was able to attend school with more facial expressions. …”
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¿<i>Dónde Vive la Ciencia en su Comunidad?</i>: How a Community Is Using Photovoice to Reclaim Local Green Spaces by Espacio: Familias y Comunidad

“…Among the critical issues discussed were urban planning, specifically the impacts of gentrification on the local community and the possibilities that greening offered as a site of agency, multigenerational learning, and resistance through ways of knowing. Community researchers examined the dual nature of STEM as both a tool of control and a means for justice, interrogating whose voices and experiences are prioritized in decision-making processes. …”
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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

“…In unknown environments, UAVs can significantly reduce the risk of casualties and improve the safety and covertness when performing missions. Reinforcement Learning allows agents to learn optimal policies through trials in the environment, enabling UAVs to respond autonomously according to the real-time conditions. …”
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Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition by Wei Zhang, Guibo Yu, Shijie Deng

“…In addition, we compared the TCN classification model with other deep learning models in terms of evaluation metrics such as F1 score, recall, precision, and accuracy, and the results showed that the TCN model outperformed the other control models in all four metrics. …”
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Profile of Spatial Ability of High School Students when Solving Geometry Problems by Septia Wahyuni, Julia Noviani, Dian Saleha

“…Learning geometry began in elementary school and continued through high school, as well as at more advanced levels in the area of interest of higher education. …”
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WORKING PRINCIPLE AND PERFORMANCE EVOLUTION OF CAMERA-BASED INTELLIGENT SIGNALIZED INTERSECTIONS: SAMSUN CITY, TÜRKIYE EXAMPLE by Metin Mutlu AYDIN, Dimitris POTOGLOU, Liana CIPCIGAN

“…After the signal cycle was regulated with the learning of artificial intelligence, it was seen that the drivers had more patience and more observant behaviors. …”
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Playing for the Planet? A Serious Game Approach to Land Use Planning with Students in Rural Iceland by Benjamin D. Hennig, Ben F. Roberts, Johannes T. Welling, Marissa Pinal, Jón Ólafsson

“…The game enables participants to assign land use preferences through interactive mapping, supporting a better understanding of land use complexities while promoting active learning and dialogue. The study evaluates the game’s feasibility, technological features, and practical applications, highlighting insights from gameplay observations, participant feedback, and spatial analysis. …”
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Mathematics as Information Compression via the Matching and Unification of Patterns by J. Gerard Wolff

“…This new perspective on the foundations of mathematics reflects the facts that mathematics is almost exclusively the product of human brains, and has been developed, as an aid to human thinking, mathematics is likely to be consonant with much evidence for the importance of IC in human learning, perception, and cognition. This perspective on the foundations of mathematics has grown out of a long-term programme of research developing the SP Theory of Intelligence and its realization in the SP Computer Model, a system in which a generalised version of ICMUP—the powerful concept of SP-multiple-alignment—plays a central role. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…In this work, we use methodologies from information theory, group theory and machine learning, to elucidate how CNN captures relevant physics of quantum systems. …”
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Teaching Academic English Corpus Trough Word-formation by Irina B. Korotkina

“…However, few manuals on academic vocabulary explore word-formation in-depth or use it as a tool to alleviate learning through analysis and synthesis rather than memorizing words. …”
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The Existence of the Indonesian Christian Church (GKI) Bondowoso, 1962-2019 by Dewi Salindri, Ratna Endang Widuatie, Wana Arta

“…It has actively sought to positively influence its surrounding environment, including fostering integration with the ethnic Chinese community and learning about Madurese customs. The ethnic Chinese population in Bondowoso has successfully adopted the local language, facilitating better relationships within the community. …”
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A Field Study on Political Socialization of Political Science Students by Ali Çiçek

“…Political socialisation refers to a process in which every individual who is born into society learns the basic values, institutions and rules of the society into which it is born and becomes compatible with the political culture. …”
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Developing Client Self-Advocacy in Occupational Therapy: Are We Practicing What We Preach? by Laura VanPuymbrouck, Emily M. Chun, Elizabeth D. Hesse, Kelsey Ranneklev, Camila Sanchez

“…Findings indicate a majority (59.5%) of occupational therapists not learning strategies for addressing or developing client self-advocacy. …”
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Using EEG technology to enhance performance measurement in physical education by Zhaofeng Zhai, Zhaofeng Zhai, Lu Han, Wei Zhang

“…APEO combines biomechanical modeling, engagement prediction through recurrent neural networks, and reinforcement learning to tailor physical activity interventions. …”
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Robotic surgery in gastrointestinal surgery: History, current status, and challenges by Yu Liu, Qingyang Feng, Jianmin Xu

“…Although robotic surgery still faces some challenges, such as economic costs and learning curves, the future prospects of robotic technology in colorectal surgery are highly promising.…”
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The Role of Knowledge Management and Dynamic Capabilities on Sustainable Competitive Advantage in Indonesian Private Higher Education by Elistia Elistia, Dedi Purwana, Karuniana Dianta Sebayang, Mohammad Sofwan Effendi, Corry Yohana

“…The findings of this research suggest that the establishment of a framework and the facilitation of knowledge integration among learning, research, and community service are crucial for effective knowledge management governance among students, universities, and society. …”
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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis by Ashley Priscilla Good, Elizabeth Horn

“…Despite advances in sensors, wearables, algorithms, machine learning, and agentic AI, autism research remains siloed, with many tools inaccessible to affected families and care teams. …”
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Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer by Weijie Tang, Jiayan Chen, Dongjiao Chen

“…Experimental results show that the proposed method achieves a Mean Absolute Error of less than 0.0219 for short-term SOH predictions and less than 0.1007 for long-term SOH predictions, outperforming other deep learning models in prediction accuracy over multiple prediction lengths.…”
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