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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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The face of crime: Apparent happiness differentiates criminal and non-criminal photos

The Journal of Positive Psychology. 2021. Vol. 16. No. 4. P. 551–560.
Sheldon K. M., Corcoran M., Trent J.

In two studies we tested the hypothesis that observers can accurately distinguish between convicted criminals and matched controls, merely by scrutinizing facial photographs. Based on the Eudaimonic Activity Model, we further hypothesized that criminals and non-criminals differ in their apparent emotional positivity. Finally, based on honest signaling theory, we hypothesized that such emotionality differences can explain observers’ ability to distinguish criminals and non-criminals. In Study 1 participants evaluated photos of people later convicted of crimes, and photos of matched controls. In Study 2 participants evaluated photos of Catholic priests later convicted of sexual offenses, and photos of the priests who replaced them at their parishes. All three hypotheses were supported. Furthermore, in Study 2, participants’ own facial photos were rated by assistants. Consistent with honest signal theories, observer’s facial positivity, as well as their self- rated positive affect, predicted their ability to perceive positive emotions in non-criminal faces.

Research target: Psychology
Language: English
DOI
Text on another site
Keywords: happinesscriminalityeudaimoniahonest signaling theoryeudaimonic activity modelfacial perceptions
Publication based on the results of:
Personality predictors of coping with difficult life situations (2021)
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