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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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Результаты адаптации диагностического инструмента изменения в пищевом поведении россиян в период пандемии, вызванной COVID-19

Психология. Журнал Высшей школы экономики. 2022. Т. 19. № 3. С. 474–493.
Дейнека О. С., Maksimenko A., Забелина Е. В.

Against the backdrop of a biogenic threat (coronavirus infection), many people tried to strengthen control over their life, in particular, in eating behavior, or, on the contrary, turned it into uncontrolled autotherapy. To study changes in eating behavior and related lifestyle changes, a compact scaled questionnaire instrument by Indian colleagues was chosen (Kumari et al., 2020). To adapt the questionnaire and diagnose changes in the eating behavior of Russians, an empirical study was performed (827 respondents from 17 to 75 years old) against the backdrop of the second wave of the pandemic (November 2020 — January 2021). The research toolkit also included a modified (short) version of T.A. Nestik’s “Attitude to the epidemiological threat”, supplemented by the question of attitude to the requirements of self-isolation, and the technique “Time attitudes” by J. Nuttin modified by K. Muzdybaev. The results of the study allowed us to confirm the construct validity and reliability of the questionnaire on changes in eating behavior during the pandemic, as well as to identify the optimal (health, immunity, performance) and non-optimal behavioral strategies. In addition, it was shown that respondents with a behavioral strategy that has changed in favor of a healthy lifestyle have a more positive attitude towards their past and future, and a more meaningful attitude towards the present. They approach the demands of self-isolation more positively and more constructively, in particular by trying to reduce the threats of the situation at the level of eating behavior, which, in turn, contributes to their greater emotional stability.

Research target: Psychology Health Studies
Language: Russian
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Keywords: пищевое поведениеCOVID-19time attitudeseating (dietary) behaviorattitude to the epidemiological threatattitude to self-isolationbehavior strategies of Russians during a pandemicотношение к эпидемиологической угрозевременные аттитюдыотношение к самоизоляциистратегии поведения россиянпериод пандемииCOVID-19
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