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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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Преимущества добровольчества: соматизация не мешает оптимальному психологическому функционированию?

Вопросы психологии. 2023. Т. 69. № 3. С. 98–106.
Zolotareva A., Хегай А. С., Kazennaya E., Новикова А. С.

Numerous publications showed the positive impact of volunteering on the somatic and psychological health of the volunteers. The current study aimed to explore the relationship between volunteering engagement, somatization (the tendency to exhibit somatic responses to psychological distress), and psychological functioning (measuring emotional, social, and psychological well-being). The participants were 305 volunteers, comprising 36 men and 269 women aged 14 to 80, who were affiliated with Russian organizations dedicated to aiding people and animals. They completed the Somatic Symptom Scale-8 (SSS-8), Mental Health Continuum-14 (MHS-14), and Utrecht Work Engagement Scale-9 (UWES-9), modified to evaluate the engagement in volunteering. The results showed that 89% of the volunteers rated their health as «good», «very good» or «excellent», while 13% noted that they had «mediocre» health. Moreover, 39% of the participants exhibited a high degree of somatization, and 49% displayed an optimal degree of psychological functioning. The volunteers with an optimal degree of psychological well-being were less likely to experience clinically significant symptoms of somatization and evaluated their physical health as «mediocre». Overall, 36% of the volunteers with clinically significant symptoms of somatization had optimal psychological functioning. A series of regression analyses showed that somatization decreased with increasing experience of volunteering, and the degree of psychological functioning increased with growing experience and enthusiasm in volunteering. Specifically, social well-being was positively associated with engagement in volunteering, and emotional and psychological well-being – with experience and engagement in volunteering. Thus, volunteering has sanogenic effects and should be promoted as a kind of healthy lifestyle.

Research target: Psychology
Language: Russian
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Keywords: волонтерствоvolunteeringсоматизацияsomatizationoptimal psychological functioningengagement in volunteeringоптимальное психологическое функционированиеувлеченность добровольчеством
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