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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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Русскоязычная версия Шкалы экотревожности Хогг (HEAS-RU)

Клиническая и специальная психология. 2026. Т. 15. № 1. С. 166–181.
Nartova-Bochaver S. K., Stakina Y., Тренина М. Е., Hachaturova M. R.

Context and relevance. Eco-anxiety is the anxiety arising in connection with real and possible natural changes and disasters. Eco-anxiety is a significant destabilizer of human activity and therefore needs to be monitored or intervened, which requires a tool to assess its severity. Objective. The present study is aimed at adapting the Hogg Eco-Anxiety Scale (HEAS) in Russian culture. Hypotheses. The Russian-language version of the Hogg Eco-Anxiety Scale 1) keeps its original four-factor structure and 2) has good content validity. Methods and materials. The study involved 344 respondents aged 18 to 24 years (M = 19.7, SD = 1.1), 75% were women, and 25% were men. The Hogg Eco-Anxiety Scale as a target method were used, and to verify its substantive validity, a revised Environmental Identity Scale and seven questions of different dimen-sions were used to examine the power of man’s connection with nature. Results. The Hogg Eco-Anxiety Scale in Russia (HEAS-RU) has completely retained its four-factor structure and the distribution of 13 statements by factors. In addition, it has sufficient substantive validity and good reliability. Conclusions. The result of psychometric research is a new reliable and valid tool that expands the capabilities of researchers and practitioners. The prospects for improvement are to obtain sex and age differences and population norms.

Research target: Psychology
Language: Russian
Full text
DOI
Keywords: надежностьreliabilityструктураvalidationstructureвалидизацияenvironmental identityсвязь с природойэкологическая идентичность eco-anxietyconnection with natureэкотревожность
Publication based on the results of:
Psychological health: prerequisites, manifestations, prevention (2025)
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