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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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Государственная политика в отношении малого предпринимательства в период пандемии в оценках бенефициаров

Вопросы государственного и муниципального управления. 2021. № 4. С. 66–89.
Chepurenko Alexander, Galitsky Efim, Dukhon A., Oslon Alexander

The article analyzes the perception by Russian small entrepreneurs of the nature of relations with the state and, in particular, the degree of success of state support provided to small businesses during the pandemic. The data for the analysis were obtained during the summer (2021) survey of 580 small business owners, a sample of which was formed from the database of the Institute's project "Public Opinion Foundation" "Sociology of Small Business (SMBiz Project)". This database was created during long-term all-Russian population surveys conducted on random samples.

The main hypotheses of the study were confirmed. They are formulated as follows: (1) small business is not homogeneous in its attitude to the policy pursued by the state, which can be influenced by different circumstances and factors (experience in business, its success, location, etc.). (2) Participation in certain state support programs increases the level of confidence in the state and has a positive effect on the assessment of its policy. (3) The measures implemented by the Russian state during the pandemic have had different coverage and different effectiveness in the perception of their beneficiaries.

In the concluding part, evidence and recommendations are formulated for the bodies implementing the policy on SMEs in Russia are formulated.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: адаптациямалый бизнесгосударственная поддержкаadaptationstate supportsmall businessэмпирические данныепандемияpandemicempirical data
Publication based on the results of:
Small business under the (post)pandemic reality (2021)
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