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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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Cities and Social Processes: Rethinking Notions and Concepts

Regional Research of Russia. 2014. Vol. 4. No. 2. P. 95–104.
Vendina O., Makhrova A., Mkrtchyan N. V., Puzanov A., Puzanov K. A., Serova E. I., Zotova M. V.
Translator: B. Alekseev

Some categories used in Russian geography to analyze spatial aspects of social processes in cities are considered. The possibility to interpret the same terms differently is shown depending on scientific approaches and the investigation scopes applied. This paper is part of a topical collection of five articles published in this issue of the journal under the rubric “Urban Geography” and dedicated to key terms and notions used in urban studies in Russia, France, and other European countries (in addition, see also the following articles: “Cities, Rural Areas and Urbanization: Russia and the World”, “City and Countryside under WorldWide Urbanization”, “Integrated Forms of Urban Settlement Pattern in Russia, Europe, and Worldwide”, “Types of Cities in Russia and Across the Globe”).

Research target: Earth Sciences Biology Sociology (including Demography and Anthropology
Priority areas: economics sociology
Language: English
Full text
DOI
Keywords: migrationmobilitysegregationSocial Housingurban districtsgentrificationghettourban identityvirtual city
Publication based on the results of:
Research of structural problems of economic development (2014)
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