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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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Национальные и институциональные связи депутатов Народного собрания Республики Дагестан VII созыва

Полития: Анализ. Хроника. Прогноз. 2025. Т. 118. № 3. С. 80–107.
Андриянов Д. А., Брагина А. Б., Kechik U., Chebanova D.

It has long been generally accepted in Political Science that distributed elite networks, rather than institutions, are crucial to the functioning of the Russian political system. One of the important factors in the formation of such networks is ethnicity. Of particular interest is the ethnic dynamics in those regions, where there is no dominant ethnic group and, consequently, mechanisms for balancing interethnic relations are needed. In Russia an extreme example of such regions is Dagestan. The article attempts to test the role of the ethnic factor in forming network relations between the deputies of the People’s Assembly of the Republic of Dagestan. In addition to ethnic ties, it examines institutional and bureaucratic connections based on factional affiliation and parliamentary committee membership. When solving this tasks, the authors employed two unique datasets that they compiled on the basis of the information from People’s Assembly official web page and a number of its archived versions, using network analysis and the exponential random graph models. The research has shown that the main role in structuring People’s Assembly deputies belongs to political party factions and especially to committee affiliations, which have a decisive influence on the formation of relations between deputies, including those that lead to active joint lawmaking. According to the authors’ conclusion, when forming ties between the deputies of Dagestani legislature, the ethnic factor is overall less significant than institutional factors, and the mechanism of the formation of such ties needs further investigation.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: сетевой анализlawmakingзаконотворчествоэтничностьгоризонтальные связиnetwork analysisethnicityRepublic of DagestanРеспублика Дагестанhorizontal relationship
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