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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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Функционирование современного российского телевидения в условиях мультиплатформенности: модель коллаборативного развития медиа

Вестник славянских культур. 2025. Т. 76. С. 9–25.
Yefanov A.

The subject of the research in this article is the features of the functioning of modern Russian television in the context of multi-platform conditions, predetermined by the model of collaborative media development. The theoretical and methodological basis of the study is the concept of receptive aesthetics (G. Blumenberg, G.-G. Gadamer, G.R. Jauss), in the disposition of which the receptive approach is formed, as well as the theory of convergent culture (H. Jenkins). A set of methods is used: modeling; structural analysis; secondary analysis of sociological and statistical data. The chronological framework of the study: 2010s – first half of the 2020s. Based on the results of the study, at the theoretical level, the author's definition of the concept of reception in relation to media communications is put forward, the main properties of receptions are identified, a model of collaborative media development is presented. At the empirical level, appealing to the legacy of Cultural Studies, based on qualitative methodology, the main receptive practices are identified in a certain causal temporal progression. The socio-cultural trends of development of modern Russian television and media industry (mainly audiovisual segment) as a whole are explicated. The limitations of the implemented research are outlined. The perspective of the presented research is built.

Research target: Media and Communications Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: телевидениеcollaborationInternettelevisionрецептивная эстетикаreceptive aestheticsмультиплатформенностьИнтернетMulti-Platformколлаборативность
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