Financial Sustainability of the Russian Higher Education Institutions: Quantitative Analysis by D. A. Endovitsky, V. V. Korotkikh, A. V. Krivosheev

“…Non-parametric methods for data analysis and machine learning.Results. We proposed two groups of working hypothesis. …”
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Twelve Months On: Navigating the Disparity Between Vision and Reality for Religious Education Teachers in Australian Catholic Schools by Joan Lancaster, Kurt Challinor, Richard Rymarz

“…Further research is planned in four years to understand how the experience of ECTs continues to evolve and what can be learned to support their retention and continual formation.…”
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Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone by Yao-Hua Ho, Yu-Te Huang, Hao-Hua Chu, Ling-Jyh Chen

“…Our results show that the naive Bayes classification–enhanced adaptive return-to-home sensing scheme is able to avoid oscillation in sensing and guarantees return-to-home feature while behaving more cost-effective in parameter tuning than the other machine learning–based approaches.…”
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IMPROVING READING COMPREHENSION THROUGH SEMANTIC MAPPING STRATEGY FOR INDONESIAN SENIOR HIGH SCHOOL STUDENTS by Adelia Puspa, Syahrial .

“…In this phases, the students activate their prior know and learn to visualize relationship between ideas and put them into categories. …”
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Short Video Copyright Storage Algorithm Based on Blockchain and Expression Recognition by Yang Yang, Dingguo Yu

“…Moreover, the computing operation of deep learning technology on short video not only ensures the privacy of storage certificate information but also ensures the possibility of blockchain storage of video information. …”
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DIGITAL BADGES AS REWARDS IN SCIENCE EDUCATION: STUDENTS’ PERCEPTIONS AND EXPERIENCES by Aaron A. Funa

“…By analyzing student responses in their portfolios and interviews, four key themes of digital badges were identified: class participation, learning outcomes, time management, and social interaction. …”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
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Efficient Image Super-Resolution with Multi-Branch Mixer Transformer by Long Zhang, Yi Wan

“… Deep learning methods have demonstrated significant advancements in single image super-resolution (SISR), with Transformer-based models frequently outperforming CNN-based counterparts in performance. …”
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The Role of The LCGC (Low Cost Great Curriculum) Model on Teacher Performance in The Implementation of The Independent Curriculum by Azmy Ali Muchtar, Marhamah Marhamah, Popi Puadah

“…This study also identified the challenges faced by teachers, such as understanding and skills in innovative learning methods, as well as the importance of support from parents and the community.…”
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Considering the Characteristics of Traffic Risk Factors and the Method of Establishing a Flexible Traffic System by Lingling Chen, Yuanyuan Zhang

“…Based on the large urban road network, this research uses the theory of coordinated control and learning mechanism, fuzzy control, dynamic reprogramming, and other theories to study phase sequence, balance peripheral load, and overall traffic flow. …”
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Pride as a Catalyst for Student Engagement and Performance: The Roles of Psychological Capital and Teacher-Student Relationships by Muhammad Qasim, Syed Tahir Hussain Rizvi

“…Additionally, based on social learning theory, the article examines the moderating role of teacher-student relationship (TSR) to identify the association between psychological capital (PsyCap) and students' outcomes. …”
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Copyright protection of deep image classification models by Y.D. Vybornova, D.I. Ulyanov

“…With the growing number of tasks solved using deep learning methods, the need for protection against unauthorized distribution of the intellectual property such as pre-trained models of deep neural networks is growing. …”
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Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks by Tamilselvi Selvaraj, Ramasubbu Rengaraj, GiriRajanbabu Venkatakrishnan, SoundhariyaGanesan Soundararajan, Karuppiah Natarajan, PraveenKumar Balachandran, PrinceWinston David, Shitharth Selvarajan

“…In recent years, deep learning precisely convolutional neural networks have achieved wonderful results in many applications. …”
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A Variable Precision Attribute Reduction Approach in Multilabel Decision Tables by Hua Li, Deyu Li, Yanhui Zhai, Suge Wang, Jing Zhang

“…Owing to the high dimensionality of multilabel data, feature selection in multilabel learning will be necessary in order to reduce the redundant features and improve the performance of multilabel classification. …”
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English for Specific Purposes for sport as a profession in Croatia: Students’ and teachers’ voices by Ana Penjak

“…The results show that the usage of ESP enhances the teaching and learning process and enriches their general knowledge of English. …”
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Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering by Thea Denell, Lauri Himanen, Markus Scheidgen, Claudia Draxl

“…Because SBC is not a machine learning-based method, it requires no prior training. …”
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Industrial cluster and knowledge creation: a bibliometric analysis and literature review by Raul Tarazona, Dayanis García-Hurtado, Carlos Devece, Valmir Emil Hoffmann

“…Initially, most studies focus on policies for efficient clusters management and later, starting in the 2010s, they evolve towards the importance of the networks of resources and knowledge that clusters provide, and how to promote learning and innovation as a key activity for economic development.…”
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A conceptual ethical framework to preserve natural human presence in the use of AI systems in education by Werner Alexander Isop

“…Used responsibly, they can meaningfully support and enhance the interactive process of teaching and learning. On the other hand, there is a risk that natural human presence may be gradually replaced by arbitrarily created AI systems, particularly due to their rapidly increasing yet partially unguided capabilities. …”
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Memory Effects of Benzodiazepines: Memory Stages and Types Versus Binding-Site Subtypes by Miroslav M. Savic, Dragan I. Obradovic, Nenad D. Ugrešic, Dubravko R. Bokonjic

“…Namely, recent genetic studies and standard behavioral tests employing subtype-selective ligands pointed to the predominant involvement of two subtypes of benzodiazepine binding sites in memory modulation. Explicit memory learning seems to be affected through the GABAA receptors containing the α1 and α5 subunits, whereas the effects on procedural memory can be mainly mediated by the α1 subunit. …”
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A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles by Jie Hu, Sheng Luo

“…This is accomplished by using a neural network-based learning control paradigm and car-following data. Finally, the FTP-72 driving cycle is borrowed as the speed profile of the leading vehicle for the model test. …”
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