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  • Культурные правила выражения и распознавание эмоций других людей: различия в распознавании гнева представителями армянской и русской культур
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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Культурные правила выражения и распознавание эмоций других людей: различия в распознавании гнева представителями армянской и русской культур

Психологические исследования: электронный научный журнал. 2023. Т. 16. № 92. Статья 1.
Sysoeva T., Айрапетян Е. А.

The current study is aimed to investigate the differences in emotion recognition among representatives of Armenian and Russian cultures. A preliminary study demonstrated that Armenians, unlike Russians, tend to control the expression of anger towards in-group members in greater extent. One hypothesis explaining the cultural influence on emotion recognition suggests that expression norms, which require suppressing expression in certain social situations, should be compensated for by individuals from the corresponding culture in their assessments of the observed emotional state. Building on this, we assumed that when observing a person in a situation eliciting strong anger but not expressed overtly, Armenians would rate the intensity of the experienced emotion higher than Russians, but only in situations involving interaction with family members. The study involved 65 Armenians (aged 17-32, M=22.31, SD = 2.46, 38% male) and 64 Russians (aged 20-42, M=22.44, SD = 2.89, 34% male). Participants were asked to rate, on a scale of 1-7, the intensity of anger experienced by a depicted individual (with a neutral expression) in a described situation (a verbal description of a situation provoking strong anger). Two types of situations were employed: interaction with in-group and out-group members. Indeed, compared to Russians, Armenians assigned significantly higher ratings of intensity only for situations involving interaction with family members. This result shows that the presence of a cultural prohibition on anger expressions towards in-group members among Armenians affects their use of expressions in recognizing other’s emotions.

Research target: Psychology
Language: Russian
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Keywords: кросс-культурное исследованиеcross-cultural studyRussiansрусскиераспознавание эмоцийармянеemotion recognitionangerгневArmeniansEmotional display rulesправила выражения эмоций
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