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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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Влияние пандемии COVID-19 на употребление табака и алкоголя в Российской Федерации

Общественное здоровье. 2024. Т. 4. № 4. С. 4–15.
Салагай О. О., Сахарова Г. М., Антонов Н. С., Stadnik N., Никитина С. Ю.

Introduction. The study is devoted to the analysis of the dynamics of the tobacco and alcohol use prevalence among the adult population during the COVID-19 pandemic.

The purpose of the study: to analyze the impact of the COVID-19 pandemic on the prevalence of tobacco and nicotine-containing products consumption among the adult population of the Russian Federation, men and women, as well as different age groups.

Materials and methods. The data source for calculations was microdata from the Sample observation of the health status of the population conducted by Rosstat in 2019–2022. The indicators characterizing the prevalence and intensity of tobacco and alcohol use by adults of different age groups, men and women, as well as their relative changes in the pre-covid (2019), covid (2020–2021) and post-covid (2022) periods were calculated by the authors.

Results. In 2019–2022, the prevalence of alcohol consumption among the adult population, men and women decreased annually. The largest relative decrease was noted in 2021 and amounted to –5.4% among the adult population, –4.3% among men and –6.1% among women. In 2022, the decline continued and amounted to –1.8%, –0.7% and –2.7%, respectively. In 2021, the maximum decrease in alcohol consumption was detected in the age groups of 15–24 years (–11.0% and –12.2%, respectively), which was replaced by significant growth in 2022. A similar trend was found in relation to the prevalence of tobacco/ nicotine use. During 2020–2021, a decrease in the intensity of alcohol and tobacco use was noted.

Conclusion. In general, the COVID-19 pandemic did not affect the general trends in reducing tobacco and alcohol use among the adult population. The changes in the dynamics of their use (decrease) were temporary and were probably related to both health concerns and restrictions imposed during the pandemic period.

Research target: Clinical Medicine Sociology (including Demography and Anthropology
Language: Russian
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Text on another site
Keywords: потребление алкоголяalcohol consumptionпотребление табакаtobacco consumptionCOVID-19COVID-19
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