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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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АВАРСКИЙ ЯЗЫК КАК ЛИНГВА ФРАНКА: ИССЛЕДОВАНИЕ В КАРАТИНСКОЙ ЗОНЕ

Томский журнал лингвистических и антропологических исследований. 2019. Т. 1. № 23. С. 44–55.
Dobrushina N., Zakirova A.

The article deals with different aspects of language interaction in agroup of neighboring languages in the Akhvakh district of Daghestan, in particular Karata, Tukita, Tad-Magitl’ and Tlibisho (this zone later referred to as Karata cluster). The villages of the Karata cluster are all located within a short walk-ing distanceof 30–120 min from each other, in all four villages different languages are spoken: Karata, Tukita, Akhvakh and Bagvalal respectively.Qualitative and quantitative data was collected during a fieldtrip in March 2018 as part of a long-term project focussing on neighbor multilingualism in highland Daghestan. The research employed the method of retrospective family interviews. Respondents were interviewed about their language reper-toire and the repertoire of their close relatives that they remembered, which enabled the researchers to conclude which languages were used in the interaction between neighboring villages before the Russi-fication and which languages are used today.We found out that interaction between neighboring villages employed and still employs Avar, that is, the lingua franca model is the common strategy in the Karata cluster. Today more than 90% of the popu-lation of the four villages concerned have command of Avar, which is different from many other areas of highland Daghestan. In other parts of Daghestan the most common model for neighbor interaction was the use of a language of one of the neighbors (asymmetrical bilingualism). Symmetrical bilingualism (when both sides have command of each other’s languages) and lingua franca were less common.Whereas the level of Avar language is high, the level of active multilingualism in the languages of Karata cluster remains low. Passive knowledge of the neighboring languages is more wide-spread. We also found out that passive knowledge is asymmetrical forseveral reasons, which are discussed in the article. A suggestion is put forward that the level of understanding of neighboring languages is not only dependent on the genetic affinity of the languages but also on the direction of socio-economic contact.Similar to other regions of Daghestan, the command of Russian has grown in Karata, however, unlike in many other places, Avar as a lingua franca has not yet been displaced by Russian.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
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Keywords: русский языкДагестанbilingualismбилингвизмmultilingualismмногоязычиелингва франкаDaghestanlingua francaAvarаварский языкахвахский языкAkhvakhKarataBagvalalкаратинский языкбагвалинский язык
Publication based on the results of:
Linguistic convergence across the languages of Russia (2019)
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