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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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Психофизиологические показатели терапевтического альянса: нарративный обзор зарубежных исследований

Вестник Российского университета дружбы народов. Серия: Психология и педагогика. 2024. Т. 21. № 1. С. 55–75.
Орешина Г. В., Голованова И. В.

A quality therapeutic alliance, as a component of a successful psychotherapeutic process, provides a trusting relationship and effective collaboration between psychotherapist and client. This narrative review examines research that explores the relationship between psychophysiological measures of psychotherapy participants and their subjective perceptions of alliance quality. The results of 10 empirical articles, selected after a systematic literature search, are presented within several paragraphs. Each of the paragraphs analyzes and discusses studies using measures of the same human body system, followed by recommendations for further research in the conclusion. Thus, as a result of the analysis of the selected sources, the perceived quality of the alliance showed a positive relationship with the synchronization of brain activity indices, heart rate variability, heart rate, skin electrical activity, and breathing patterns between the participants in the process. However, the only study examined the contribution of participants' individual heart rate variability indices, which showed a relationship only for the client alliance. At the same time, the structure of interrelationships between alliance components and psychophysiological parameters differed depending on the number of participants: in dyadic, in family, in the presence of a supervisor or a second therapist. Recorded changes in physiological parameters may reflect both the patterns of participants' cognitive processes and their affective states - and together add to the understanding of the dynamic process of establishing and experiencing an alliance between participants in a psychotherapy session. Future research should unify the research design, continue to clarify the role of interpersonal synchronization in alliance experience, pay attention to differences in couples and group psychotherapy, and examine multiple psychophysiological variables simultaneously using a multilevel approach.

Research target: Psychology
Language: Russian
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Keywords: психотерапияpsychotherapyиндивидуальное психологическое консультированиеcounselingчастота сердечных сокращений (ЧСС)heart ratebrain activityактивность головного мозгаworking allianceвариабельность сердечного ритма heart rate variabilitySkin conductanceinterpersonal synchronyмежличностная синхронизацияэлектрическая активность кожитерапевтический альянс
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