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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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Сравнительный анализ демографической динамики в контексте развития человеческого потенциала в Башкортостане и Татарстане (1959–2021 гг.)

Новые исследования Тувы. 2024. № 4. С. 360–376.
Валиахметов Р. М., Lomanova A., Abylkalikov S.

The article presents a comparative analysis of demographic processes in the Republic of Bashkortostan and the Republic of Tatarstan - two regions of Russia. These republics have similar historical and cultural features as well as socio-economic development levels, but they exhibit contrasting demographic trends. While Tatarstan demonstrates steady population growth, partly driven by migration flows, Bashkortostan experiences demographic stagnation.

The analysis focuses on differences in birth rates, mortality rates, and migration patterns in both urban and rural areas, using data from population censuses and statistics provided by official statistics of Russia from 1959 to 2021. Emphasis is placed on the interrelation between these demographic processes and human capital development.

The results of the study show that Tatarstan's more dynamic economic growth, advanced urban infrastructure, and hihjer investment in human development contribute to its migration attractiveness and, consequently, its population growth trends. In contrast, Bashkortostan exhibits less favorable socio-economic conditions a lower level of himan capital development. These factors lead to population outflows from the region and demographic stagnation.

The authors also examine the mutual influence of demographic changes and human capital development, highlighting the need to devise region-specific demographic policies aimed at sustaining human capital and ensuring demographic stability. The article addresses issues of socio-economic development and institutional factors influencing demographic and migration behavior as well as human capital development in the regions.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: демографияТатарстанрождаемостьчеловеческий потенциалсмертностьмиграцияперепись населениядемографический балансдинамика населенияБашкортостан
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