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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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?

РАЗРАБОТКА И АПРОБАЦИЯ ОПРОСНИКА ДЛЯ ОЦЕНКИ ПЕРЕЖИВАНИЯ ПОТОКА В ПРОФЕССИОНАЛЬНОМ СПОРТЕ

Познание и переживание. 2025. Т. 6. № 3. С. 132–148.
Bochaver K., Городецкий Д. В.

The article examines the phenomenon of the flow state, optimal experience, in the context of professional sports activities. The analysis of modern research on optimal experiences in sports is carried out and the problem of diagnosing and verifying the components of the flow state is identified. The development and testing of a new diagnostic tool «Flow scale in sports» is described. Originally conceived as a shortened version of the Dispositional flow scale-2 test, the new tool was reorganized and assembled with new points into a structure of nine original scales and two new author’s scales. The original flow parameters include: Balance of skills and tasks, Fusion of consciousness and action, Clarity of purpose, Accurate feedback, Concentration on the current moment, a sense of control, Loss of self-awareness, Transformation of time, Autotelic experiences. New parameters: Volitional aspiration and Stability. Verification of the 33-point scale showed high internal consistency and convergent validity. The confirmatory factor analysis showed a division into 11 factors corresponding to the author’s parameters. The results of the study on 200 professional athletes show the high reliability of the new questionnaire.

Language: Russian
Full text
DOI
Keywords: состояние потока
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