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  • Разработка и апробация «Российской базы Нейтральных и Улыбающихся женских лиц (“RuNeS Faces”)»
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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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Разработка и апробация «Российской базы Нейтральных и Улыбающихся женских лиц (“RuNeS Faces”)»

Экспериментальная психология. 2018. Т. 11. № 2. С. 34–49.
Морошкина Н. В., Иванчей И. И., Tikhonov R., Карпов А. Д., Овчинникова И. В.

The article presents a database of women’s faces for research in the field of social perception. Each of 55 models was photographed full-face under four conditions: with a neutral or smiling face with hair up or down. The database includes the results of facial morphometry (relative positions of homologous points), expert ratings of appearance style, scores of perceived intelligence and attractiveness. The peculiarity of the database is that, unlike the others, we preserved the natural style featured on the models: clothes, jewelry, and makeup. The database was approbated in the study of physiognomic and appearance style predictors of perceived intelligence and attractiveness. It expands the variety of stimulus images available for researchers and can be used in different studies of social perception.

Research target: Psychology
Language: Russian
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DOI
Text on another site
Keywords: social perceptionсоциальная перцепцияface perceptionattractivenessвосприятие лицаfacial morphometryimage databaseperceived intelligenceморфометрия лицабаза фотоизображенийпривлекательностьвоспринимаемый интеллект
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