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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Эмоциональная дифференцированность и ее связь с регуляцией эмоций: обзор исследований

Современная зарубежная психология. 2024. Т. 13. № 3. С. 62–72.
Рассказова М. А.

The article reviews of a number of modern foreign studies of emotion differentiation and its role in emotion regulation processes. An attempt is made to generalise the currently existing results on the connection of emotional differentiation with various personality and behavioural constructs, as well as about its role of in psychological well- being. The main advantages of high negative emotional differentiation and disadvantages of low negative emotional differentiation are identified. Trait and momentary emotional differentiation was distinguished, difficulties in con- ceptualising and measuring the momentary emotional differentiation were outlined, the lines of future studies of the relationship between both measures of emotional differentiation and emotion regulation were described. Several studies of the role of emotional differentiation in the choice and effectiveness of putatively adaptive and maladaptive emotion regulation strategies were analysed. It was found that higher levels of negative emotional differentiation were related to the effectiveness of emotion regulation strategies rather than to their choice. Similarities and differences in the methodology and obtained results of the analysed studies are identified. Issues requiring further research are formulated, prospects for future research are described. The practical significance of the research findings for the use in psychotherapy and treatment of psychological disorders is outlined.

Research target: Psychology
Language: Russian
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Keywords: регуляция эмоцийemotion regulationexperience sampling methodэмоциональная дифференцированностьemotion differentiationметод многократных замеров
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