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News
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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ДИФФЕРЕНЦИАЦИЯ УДОВЛЕТВОРЕННОСТИ КАЧЕСТВОМ ЖИЗНИ У ПОЖИЛЫХ ЛЮДЕЙ В РОССИИ

Успехи геронтологии. 2022. Т. 35. № 6. С. 900–910.
Шибалков И. П., Недоспасова О. П., Pavlova I., Бойков В. А.

Satisfaction with the quality of life of the older generation in the regions of Russia was analyzed in the following aspects: satisfaction with the financial situation, conditions of labour and salary, the ability to travel, satisfaction with legal security, the level of respect and trust in society, satisfaction with one’s health and life in general. The analysis of indicators of the quality of life of older people was carried out by gender in three age groups: pre-retirement age, active retirement age, disabled retirement age. Significant regional differentiation of the analyzed phenomenon was revealed. The hypothesis about the relationship between the analyzed indicators and the main parameters of the socio-economic development of Russian regions is confirmed. The key indicators of the socio-economic development of the constituent entities of the Russian Federation are substantiated, which make it possible to identify regional gaps in the level and quality of life of older people in our country and to estimate them statistically. Some assumptions about the reasons for the low satisfaction of older people with various aspects of the quality of life were made, the possible consequences of such a situation were named, including from the point of view of their influence on the degree of realization of the resource potential of the older generation.

Research target: Sociology (including Demography and Anthropology Clinical Medicine
Language: Russian
Full text
DOI
Text on another site
Keywords: качество жизнипожилые людисоциально-экономическое развитиеsocio-economic developmentwell-beingрегионы Россииблагополучиеquality of lifeelderly peopleregions of Russiaресурсный потенциалresource potential
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