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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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Психологические причины коррупции: роль тревоги

Экономическая социология. 2021. Т. 22. № 1. С. 11–34.
Mironova A. A., Tatarko A.

This study is devoted to answering two questions: (1) does individuals’ worries and suffering correlate with the acceptability of corruption for them; (2) does this correlation differ by countries with various levels of corruption? We focus on analyzing the correlation between macro and micro worries with the acceptability of corrupt behavior for individuals. This study is based on data of the 6th wave’ World Value Survey. We identified three groups of countries depending on the corruption perception index: countries with low levels of corruption (Australia, Netherlands, New Zealand, Singapore, Sweden), countries with medium levels of corruption (Belarus, China, South Korea, Malaysia, Romania), and countries with high levels of corruption (Russia, Brazil, Colombia, Peru, Thailand). For the purposes of our analysis, we used structural equation modeling. It was found, that macro and micro worries have significant relationship with the acceptability of corruption. Our analysis showed that the more people worry about themselves or their family, the more they accept corruption. People who worry about society are more likely to disapprove of corruption. However, the significance of these links vary depending on countries’ group — countries with high, medium or low corruption. For countries with low levels of corruption the correlation was significant only for link between microworries and the acceptability of corruption; for countries with a high level of corruption – only for link between macroworries and the acceptability of corruption; for countries with middle level of corruption and also for Russia the acceptability of corruption are significant correlated with both micro- and macroworries.

Research target: Sociology (including Demography and Anthropology Psychology
Priority areas: economics sociology state and public administration humanitarian
Language: Russian
DOI
Text on another site
Keywords: индекс восприятия коррупциимежстрановой анализWorld Values Surveycross-country analysissufferingthe acceptability of corruptionприемлемость коррупцииВсемирный обзор ценностейmicro and macro worriescorruption perception indexстрадание
Publication based on the results of:
Attitudes of intercultural and socio-economic interaction: cross-country and intergenerational analysis (2021)
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