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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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Связь компульсивных покупок с тревожностью и депрессией у россиян

Экономическая социология. 2024. Т. 25. № 1. С. 58–84.
Maksimenko A., Дейнека О. С., Юринова Д. В., Чарушина Е. И., Бояркин К. Е.

The article is devoted to compulsive behavior among Russians during the period of economic sanctions. It is noted that, unlike impulsive, compulsive purchases include not only and not so much purchases from the category of goods from the “checkout zone” of supermarkets, but also various manifestations of obsessive and auto-therapeutic consumption. The aim of the study was to search for correlations between the propensity to compulsive purchases with the severity of depression and the level of anxiety. In online research using services anketolog.ru and yandex.toloka.ru 524 people took part (men — 47%, women — 53%, the average age of the respondents, M = 45 years). The following methods were used: “The scale of compulsive purchases” (E. Edwards), the Russian version of the “New Scale of monetary behavior” by A. Furnham and S. Grover (adapted by T. A. Nestik, M. A. Gagarina), “The scale of depression, anxiety and stress” (DASS-21) and “The scale of sensitivity to anxiety” (ASI-3), and
demographic indicators are also taken into account. The results of the survey showed that the tendency to compulsive purchases was associated with the age and gender of the respondents, as well as with the level of
income and the degree of religiosity. Analysis of the links of compulsive purchases with depression, anxiety and stress showed that people fall into a “binge” shopping when they are upset, feel unreasoning fear, panic,
meaninglessness and emptiness of life. The propensity for impulsive shopping therapy has been found to be closely related to a person’s sensitivity to anxiety (somatic, cognitive and social). The methodological problem of the primary adaptation of the “Scale of compulsive purchases” on the Russian sample has been solved.

Research target: Psychology Sociology (including Demography and Anthropology Clinical Medicine
Language: Russian
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Text on another site
Keywords: поведение потребителейтревогаanxietyмонетарное поведениеstressстрессдепрессияdepression consumer behaviorcompulsive purchasesmonetary behaviorкомпульсивные покупки
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