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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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Language In The Construction Of Ethnicity Among Koreans In Kazakhstan: A Case Study Of The Korean Community In Karaganda

NRU HSE , 2024. No. 116.
Aitzhanov S.
This study focuses on examining the role of language as an attribute in the construction of ethnicity within the Korean community in Kazakhstan. The research examines how language functions as an attribute in the categorization and identification processes, and how it interacts with other ethnic attributes such as descent and appearance. Drawing on qualitative methods, including interviews and focus groups, the study reveals that language plays a central role in the identification of individuals as “Russian” or “Hanguk” (Korean nationals from South Korea), while local Koreans don't use it to differentiate themselves from other ethnic groups within Kazakhstan. The findings suggest that language, particularly when other visible attributes are absent, can serve as an independent attribute of ethnic belonging. The study contributes to a broader understanding of ethnicity and identity construction.
Research target: Sociology (including Demography and Anthropology Philology and Linguistics
Priority areas: sociology humanitarian
Language: English
Full text
Keywords: constructivismKazakhstanidentificationSouth KoreaKoreansEthnicity
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