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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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«Чужие выборы»: новости соседнего государства о выборах президента РФ в 2018 г.

Экономическая социология. 2021. Т. 22. № 1. С. 71–91.
Kazun A. D., Pashakhin S.

News media tend to reflect voices in the political establishment while cov-ering international events. Is it still true when almost half of the national audience speak the language of the country featured in the coverage? In this paper, we present an analysis of 19.5k news messages collected from Russian-language Ukrainian news outlets covering the 2018 presidential elections in Russia. Using a mixed-method approach (topic modeling and qualitative reading), we identify key topics and stories and evaluate the ex-tent of personalization in the election coverage. We find three central angles: the focus on polls and election results, election preparations in Crimea, and Vladimir Putin’s victory. The elections are linked predominantly to Crimean issues through the date of the elections, each candidate’s stance on the sub-ject, the election management in the region, and other countries’ reactions to the results. Such coverage has an accusatory bias; it stresses the legal status of the Crimean referendum and the Russian authorities’ actions and reports the pressures on locals by authorities, especially the Crimean Tatars. Not linked directly to Crimea, other angles are less emotionally charged. Political personalization of the discussion has a contradictory nature. On one hand, the overwhelming majority of the messages mention public figures. On the other hand, the coverage of the figures is limited and omits their traits. More-over, at times, public figures are replaced by non-personalized symbols (e.g., Kremlin, Russian invaders). However, if the former’s coverage is predomi-nantly neutral, the latter’s coverage is more prone to negative and loaded statements.

Research target: Media and Communications Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: медиаmedianewsновостиtopic modelingвыборы Президента РФтематическое моделированиеCrimea2018 Russian presidential electionsполитическая персонализацияpolitical personalization
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