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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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Сезонность смертности в г. Барнаул по данным метрических книг Покровского прихода (1877–1897 гг.)

Население и экономика. 2022. Т. 6. № 2. С. 120–130.
Мария В. Винник

The paper analyzes seasonal fluctuations in mortality among the parish population on the basis of parish registers of the Pokrovsky parish in Barnaul in the last third of the XIX century. The study results show that infant mortality in Barnaul in 1877-1897 was still strongly dependable upon the time of year. Summer and winter peaks suggest a continued role of exogenous causes of death. Infant mortality rates in summer were three times higher than the annual average. The mortality peak is mainly registered in June. Starting from the age of 10-14, the seasonal factor passes from the picture, and deaths are distributed more evenly over the seasons. The analysis of seasonal fluctuations in mortality by cause of death showed that in children, summer peaks are associated with infectious diseases, while winter peaks are due to cold-related diseases. Seasonal fluctuations in mortality by social class are not fundamentally different. It can be assumed that the demographic transition was still in its early stages and yet to be developed even in the upper classes, which had always been at the forefront of demographic modernization. The obtained results and conclusions about seasonal fluctuations in infant and child mortality are consistent with pre-revolutionary and modern research. The existing differences in seasonal fluctuations in infant mortality exemplified by different cities and settlements in Russia with peaks either in July or August, may indicate a wide climatic diversity and socio-economic differences between regions of the country, as well as differences in calculation methods.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: сословиямладенческая смертностьinfant mortalityисторическая демографиядетская смертностьchild mortalitysocial classeshistorical demographyметрические книгиparish registersBarnaul populationseasonal fluctuations in mortality
Publication based on the results of:
Spatial measurement of demographic dynamics in Russia: long-term and short-term changes in the diversity of human reproduction regimes, migration and demographic structures of the population at the regional level (2022)
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