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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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Сострадание к себе как адаптивное свойство личности

Психологические исследования: электронный научный журнал. 2020. Т. 13. № 71. С. 7–7.
Янченко А. А., Nartova-Bochaver S. K.

In the study self-compassion is proposed to consider in terms of its role in the adaptation of a person, understood as the maintenance of psychological well-being and functionality in different life situations. Another ultimate goal was to adapt the Fears of compassion scale to assess the level of compassion, as at present no such methods adapted to Russian-speaking culture exist. At the first stage of the study, the primary psychometric development and validation of the main research tool was carried out. At the second stage of the study, the hypotheses were tested if self-compassion is 1) positively related to psychological well-being and authenticity of the individual; 2) negatively related to symptomatic (not clinical) depression. 289 respondents (N = 289; 232 – female, 57 – male) participated in the research. The Center for Epidemiological Studies Depression Scale (CES-D), Fears of Compassion Scale, the Authenticity Scale, and the Warwick-Edinburgh Psychological Well-Being Scale were used. Fears of Compassion Scale has demonstrated the high scores of validity and reliability, but its factor structure was not confirmed. A modified version of the questionnaire, suitable for Russian-speaking culture, was developed. It also shows that self-compassion is positively associated with psychological well-being and authenticity of an individual, while fear of self-compassion is combined with depressive symptoms. It is concluded that self-compassion is an adaptive feature of the person, which improves a person's interaction with him- or herself and with the world and allows maintaining the integrity of the Self and the quality of life in different life situations.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Text on another site
Keywords: адаптацияаутентичностьadaptationпсихологическое благополучиеauthenticityдепрессияdepressionpsychological well-beingself-compassionсострадание к себе
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