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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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Динамика индивидуальной политической поддержки в России в ходе пандемии COVID-19: Анализ данных опроса «Ценности в кризисе»

Политическая наука. 2022. № 2. С. 122–143.
Sokolov B., Zavadskaya M., Chmel K.

How the COVID-19 pandemic affected the attitudes of Russians towards political institutions? The aggregate data of public opinion polls suggest that, according to various available indicators, the level of political support in Russia has slightly dropped, compared to the pre-pandemic period. Yet, this kind of data does not allow one to infer what aspects of the pandemic experience are the most important predictors of individual assessments of the government's performance. The article presents the results of the analysis of the data from the first two Russian waves of the international online panel survey ‘Values in Crisis’ (ViC). The first wave was carried out in Jun 2020; the second – in April-May 2021. The sample size was 1,527 and 1,199 respectively; 1,014 respondents participated in both waves. The main dependent variable is an integral index of political support that includes indicators of both diffuse and specific support. Regression modeling demonstrates that during the first wave of the pandemic in Russia (spring 2020) the direct experience of the disease and COVIDrelated anxiety were positively correlated with political support, while anxiety over economic losses showed negative correlation. A decrease in economic well-being had no effect on political support. Other significant predictors included right-wing political views and trust in traditional media (leading to an increase in support) and propensity to share COVID-skepticism (leading to a decrease in support). One year later, in the first half of 2021, the situation has somewhat changed: neither experiencing COVID, nor COVID-related anxiety were no longer associated with support, while the effect of economic factors became more prominent.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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DOI
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Keywords: российская политикаpolitical supportполитическая поддержкаRussian politicsИнституциональное довериеretrospective votingретроспективное голосованиеinstitutional trustCOVID-19 pandemicпандемия COVID-19rally round the flagэффект «единения вокруг знамени»
Publication based on the results of:
Values, social capital and institutional evolution in a comparative perspective (2022)
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