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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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Network Composition, Individual Social Capital and Culture: Comparing Traditional and Post-Modernized Cultures

Sociological Research Online. 2017. Vol. 22. No. 2. P. 1–20.
Häuberer J., Tatarko A.

This article addresses the influence of cultural background on the access to social capital in family and friendship networks. We will analyze four different culture groups: Czechs and Russians (Muscovites) both representing post-modernized cultures and Dagestans and Chechens both representing traditional cultures. The data will be analyzed using univariate comparisons and fixed effects regressions. Our results indicate that cultural background does not play such a crucial role for social network composition and social capital access through the family or friends. In both cases, Dagestans, Chechens and Czechs access significantly less social capital than do the Russians (Muscovites), however only if Russians (Muscovites) are in frequent contact with their families or have large friendship networks. In other words, network embeddedness seems to play a more important role than cultural background for social capital access. 

Priority areas: sociology humanitarian
Language: English
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Keywords: социальные сетимодернизацияculturesocial networksmodernizationtraditionindividual social capitalиндивидуальный социальный капиталresource generator
Publication based on the results of:
Socio-psychological consequences of adaptation to changing cultural and socio-economic conditions in the post-Soviet space (2017)
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