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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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Обработка эмоциональной информации и посттравматический стресс у лиц с высоким риском психической травматизации (на выборке сотрудников МВД)

Психологические исследования: электронный научный журнал. 2021. Т. 14. № 78. С. 6.
Сорокко Е. А., Падун М. А., Martynova E., Lyusin D.

Current article examines mechanisms of attentional biases among policemen whose occupation is related to large amounts of negative emotional information up to the risk of psychological traumatization. Healthy individuals with psychological trauma exposure during professional activity were expected to demonstrate emotional Stroop effect (ESE) in response to stress-related stimuli. One hundred thirty-eight male policemen from the Arkhangelsk region aged from 22 to 50 years participated in the study. To capture ESE, words with neutral and threatening meaning were used. Symptoms of posttraumatic stress disorder (PTSD) were measured with the PCL-5; emotion regulation strategies were measured with the Cognitive Emotion Regulation Questionnaire (CERQ).

It was found that response time to stress-related words in the emotional Stroop task was greater compared to neutral words. Two types of ESE, direct and reverse, were identified in the sample. Individuals with reverse ESE processed the professional stress-related stimuli faster compared to neutral stimuli. Policemen with reverse ESE were found to have stronger symptoms of excitability, which is one of the criteria of PTSD. In individuals with reverse ESE, excitability and general index of PTSD positively correlated with the cognitive emotion regulation strategy Other-blame. Word by word analysis found differential effect of threatening words in participants with direct and reverse ESE. The results are discussed in context of the policemen professional activity features.

Research target: Psychology
Language: Russian
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Keywords: emotional Stroop effectПТСРэмоциональный эффект Струпарегуляция эмоцийemotion regulationPTSDattentional biasсмещение внимания
Publication based on the results of:
Representations underlying cognitive task accomplishment (2021)
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