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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
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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.
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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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Religious Identification and Attitude toward Economic Involvement among Christians and Muslims in Russia

Psychology. Journal of the Higher School of Economics. 2019. Vol. 16. No. 2. P. 269–284.
Efremova M., Lepshokova Z.

This study presents the results of empirical research into the relationship between strength and positivity of religious identification and attitudes towards economic behavior in a group of Orthodox Christians and Sunni Muslims in Russia (N = 820). In order to measure strength and positivity of religious identification, we used two components based on the Social Identity Theory. Attitudes toward models of economic behavior were measured through economic attitudes based on a scenario approach. The results revealed that attitudes towards three models of economic behavior can be clustered into a single economic involvement factor. In addition, generalized economic involvement was confirmed by CFA in both religious groups. In our study we found that strength and positivity of religious identification are differently associated with attitudes toward economic involvement in the two groups. Thus, it was concluded that the strength of religious identification negatively related to attitudes reflecting economic involvement. Positivity of religious identification was found to have a positive association with economic involvement. However, the further MGSEM demonstrated that the relationship between positivity of religious identification and economic involvement had interfaith specifics: positivity of religious identification was positively related to the models of economic involvement only in the group of Christians, while in the group of Muslims this relationship was insignificant. The results are discussed in terms of features of religious identification in these two groups

Research target: Psychology
Priority areas: humanitarian
Language: English
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Keywords: Russiaмодели экономического поведениямусульманеэкономические установки и представления Christians and MuslimsModels of economic behaviorРелигиозная идентичностьэкономическая вовлеченностьreligious identificationeconomic involvementправославные христиане economic attitudes
Publication based on the results of:
Socio-psychological consequences of changes on the post-Soviet space: cross-cultural and cross-regional analysis (2019)
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