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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.
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‘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.
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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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Language Policies and Local Identities in the Russian-Nordic Borderlands

Sociolinguistics. 2021. No. 2 (6). P. 128–144.
Ryzhkov A., Petrova E., Vlakhov A.

The paper investigates some aspects of language policies and local identities in the Russian- Nordic borderlands. It focuses on the interplay between identification strategies of local groups and linguistic environment of the multicultural region. The concept of language policy used in the study encompasses a wide range of practices, attitudes, beliefs as well as management strategies that are connected to linguistic codes used by borderland inhabitants. The primary data was sourced from the in-depth anthropological interviews collected during the fieldwork in the north-west of Karelia and the west of Murmansk Oblast. Due to the nature of the material, the analysis in the article is limited to the Russian side of the region. One of the findings of the study is that good command of a Nordic language (Finnish for Karelia, Norwegian for Murmansk Oblast) is not common on the Russian side of the borderlands and associated with particular life scenarios. Another observation worth mentioning is that Finnish and Norwegian are represented differently in local identity narratives as well as in linguistic landscapes and educational practices. Besides, linguistic and cultural heterogeneity uniquely reflects the social life of the each of the two Russian borderland territories. Overall, the study contributes to the discussion on the multilingual and multicultural environment of the Russian-Nordic borderlands.

Research target: Philology and Linguistics Sociology (including Demography and Anthropology
Language: English
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Text on another site
Keywords: ФинляндияКарелияязыковая политикаlanguage policyFinlandлокальная идентичностьNorwayНорвегияBorderlandlocal identityприграничье Republic of Karelia
Publication based on the results of:
Indigenous languages and cultures of the Arctic (2021)
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