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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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Постсоветская трансформация лесных посёлков на севере Нечерноземья

Крестьяноведение. 2021. Т. 6. № 3. С. 90–110.
Averkieva K.

The article considers forest settlements — the former centers of timber industry — in the Vologda and Arkhangelsk Regions during the Soviet period. They represent a special type of mono-specialized rural settlements which in a short period turned from the local growth points and centers of attraction into depopulating settlements with shrinking labor markets and social infrastructure. The article is based on field studies conducted in three municipal districts of the Vologda and Arkhangelsk Regions (grassroots statistics and analytical materials, in-depth interviews with local residents, representatives of local governments and municipal authorities). The outflow of population from logging stations is determined, on the one hand, by the collapse of timber industry and institutional restructuring of logging industry; on the other, by modernization of logging which no longer needs permanently inhabited settlements. Due to the higher population density of forest settlements (compared to small rural settlements in the Non-Black Earth Region), their population losses in the past twenty years affect the general migration dynamics of municipal districts. Unlike historical settlements, the geographic location of forest settlements (often remote from transport networks) and the deplorable state of housing do not leave them hopes for at least seasonal redevelopment or new functions. The current state of forest settlements depends on a set of factors: geographical location, type of development, type of community, readiness of residents to self-organize, and so on. 

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology Agriculture, Forestry, and Fisheries
Language: Russian
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Keywords: сельское расселениелесозаготовкиНечерноземьелесопунктлесные посёлки
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