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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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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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Взаимосвязь эмпатии с профессиональными стилями в работе российских учителей

Перспективы науки и образования. 2022. № 6(60). С. 419–432.
Чагина А. В., Maksimenko A.

Introduction and problem. Empathy is a professionally important quality of a teacher's personality, while the relationship of empathy with various professional styles of teachers is an insufficiently researched area of pedagogical knowledge. The aim of the study was to establish the relationship of empathy with professional styles in the work of Russian teachers. Materials and methods. The following techniques were used in the study. Professional styles of teachers were evaluated using the questionnaire "Teacher styles" (N. Aelterman), represented by the typology: control, chaos, structure, autonomy. The level of empathy was recorded using a technique specially developed for the diagnosis of empathy in teachers: the questionnaire "Teacher Empathy Scale" (Wang). 116 teachers took part in the online survey (5.2 % of them were men and 94.8 % were women, the average age of the respondents was M=45.04 years; SD=11.22 years). Results. A significant relationship was found between the gender factor and control support (exactingness). The age factor turned out to be negatively correlated with support for chaos (rejection) (r=-0.19, at ρ<0.05) and positively with support for autonomy (participation) (r=0.26, at ρ<0.05). The degree of religiosity turned out to be significantly interrelated with 2 pedagogical styles: negatively with maintaining control (dominance r=-0.21, at ρ<0.05 and demanding r=-0.19, at ρ<0.05) and positively with maintaining autonomy (participation r=0.18, at ρ<0.05). There are no correlations between teaching styles and the level of subjective income and other socio-demographic variables (for example, the level of education). Professional styles are associated with empathy through the denial of chaos (refusal) (ρ<0.05) and the denial of control (demanding) (ρ<0.01). With self-efficacy, professional styles of teachers are interrelated with explanation, elements of the teacher's independence and his skills in organizing distance educational activities. Conclusions. During the analysis of the data obtained, it was possible to find correlations between professional styles and the degree of empathy, as well as the level of self-efficacy of teachers and other important sociodemographic factors.

Research target: Psychology Education
Language: Russian
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Keywords: эмпатияempathysecondary schoolteaching roles teaching stylesRussian teachersучительские ролиучительские стилисредняя общеобразовательная школароссийские учителя
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