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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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Уроки пандемии: анализ опыта перехода на онлайн-преподавание в средней школе

Психологическая наука и образование. 2022. Т. 27. № 6. С. 84–101.
Alenina E., Барцева К. В., Лиханов М. В., Ли О., Залешин М., Ковас Ю.

As a result of the COVID-19 pandemic, educational institutions switched to distance learning in March 2020. The study focuses on how the sudden transition affected the level of teachers’ anxiety and professional burnout. A total of 282 teachers from general education schools participated in the study. The results showed that the teachers successfully coped with the transition: the level of anxiety and burnout was similar to the results of previous studies of teachers before the pandemic. A significant role in the adaptation of teachers to the urgent transition to online education was played by their attitudes In particular, those who adapted to the change and were able to get used to the distance format of work showed the lowest levels of anxiety compared with other groups who resisted the change and experienced difficulties. An important condition for successful distance learning, according to teachers, is the detailed regulation of infrastructural aspects of the educational process by the administration. The article discusses the next steps to improve the quality of distance learning based on experience.

Research target: Psychology Education
Language: Russian
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Keywords: тревожностьдистанционное обучениеэмоциональное выгораниеanxietyпреподаваниеburnoutпандемия COVID-19distant teachingCOVID-19
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