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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Русский язык в неславянском окружении: модель языковой конкуренции в регионах тесного языкового контактирования

Русин. 2023. № 71. С. 239–250.
Artemenko E.

Language competition is mostly relevant in regions of close language contact. The study allows predicting the loss of the minority language by bilinguals and preventing the final transition to monolingualism, thus preserving the bilingual community. The article analyzes the existing models of language competition and assesses the predictors of its dynamics, taking into account the specificity of the linguistic situation of Turkic-Russian bilingualism in South Siberia. The predictors are sociodemographic, including institutional, sociocultural and some motivational factors. Modeling is based on the Turkic-Russian bilingualism database, which includes three groups of linguistic interaction: Tatar-Russian, Shor-Russian, and Khakass-Russian. The database contains a total of 25,145 observations from 235 bilinguals. The proposed modeling and its results have shown that language competition is provided by mutually directed processes. Thus, the most influential factors ensuring high proficiency of bilinguals in their native minority language and, therefore, leading to a balanced language situation in the conditions of language competition, are sociodemographic factors: experience of preschool residence (in the village or in the city) and place of residence at the present time. The age as well as a group of socio-cultural factors (the language of rites and songs) is insignificant. Motivation, on the contrary, leads to an unbalanced bilingual situation, reducing the functional role of the minority language. Bilinguals emphasize that their own intention to use Russian is higher than the intention to use their native language. Thus, the maintenance of a balanced bilingual situation largely depends on demographic factors and motivation of bilinguals.

Research target: Philology and Linguistics Sociology (including Demography and Anthropology
Language: Russian
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Keywords: bilingualismбилингвизмбилингвыlanguage competitionTatar-Russian bilingualismunbalanced bilingualismКонкуренция языковНесбалансированный билингвизмТатарско-русский билингвизмБилингвальная языковая ситуация
Publication based on the results of:
Innovative methods of data collection and analysis in the modeling of communicative behavior of Internet users and the development of respective technological solutions (2023)
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