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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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Логический компонент мышления как предиктор принятия решений о наличии в ситуации коррупционного риска

Психологический журнал. 2021. Т. 42. № 6. С. 25–34.
Погожина И. Н., Sergeeva M.

The links between elements of the decision-making system on the presence of corruption risk (CR) in a situation with the logical component of thinking as a predictor are considered. The hypothesis of the role of logical reasoning component as a predictor of (1) perceptions of corruption, (2) indicators of emotional intelligence and (3) moral judgement was tested on a sample of Moscow university students (N = 134; M = 35±11 years old). The following diagnostic tools were used: (1) the author’s test for recognising CR situations, (2) the method for assessing the content of ideas about corruption (Pogozhina, Pshenichnyuk, Sergeyeva), (3) D. Lucin’s EmIn questionnaire, (4) Molchanov’s Justice-Care technique. Correlation analysis and structural modeling were used to process the data. The logical component of thinking was a significant positive predictor of the level of development of perceptions of corruption and understanding one’s own emotions and those of others. Also, the logical component significantly negatively predicted moral judgments based on instrumental individualism, reflexive empathic orientation and unconscious but internalized moral values. The findings suggest that the logical component will play a leading role in the CR decision-making system and should be specifically shaped.

Research target: Psychology
Language: Russian
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Keywords: коррупцияdecision-makingпринятие решенийcorruptionstructural equation modelingструктурное моделированиеэмоциональный интеллекткоррупционные рискиcorruption risks logical thinking emotional intelligenceлогическое мышлениеморальные сужденияmoral judgments
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