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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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Этническая идентичность и благополучие русских на постсоветском пространстве: роль диаспоры

Культурно-историческая психология. 2021. Т. 17. № 4. С. 16–24.
Lebedeva N.
In press

The article analyzes the role of different forms of diaspora activity as a mediator of the relationship between ethnic identity and psychological well-being of Russians in Kyrgyzstan and Estonia (N = 609). The results of structural equation modeling showed that ethnic identity salience is significantly positively associated with the involvement in all types of Russian diaspora activities both in Kyrgyzstan and in Estonia. Russians’ participation in all types of diaspora activity is significantly higher in Kyrgyzstan than in Estonia. Participation in different types of diaspora activity mediates the relationship of ethnic identity and psychological well-being: in Kyrgyzstan – participation in public actions and activity aimed at preservation of collective historical memory; in Estonia - activity aimed at maintenance of Russian language and culture. The results can serve as the basis for practical recommendations for supporting the Russian diaspora in the post-Soviet space.

Research target: Psychology
Language: Russian
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DOI
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Keywords: Кыргызстанэтническая идентичностьдиаспораdiasporaпсихологическое благополучиеethnic identityEstoniaЭстонияKyrgyzstanRussiansрусскиеpsychological well-being
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