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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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Взаимосвязь институционального доверия и политической активности онлайн

Вопросы теоретической экономики. 2024. № 3. С. 186–199.
Tatarko A., Bushina E., Mironova A. A.

Th is article examines the relationship between diff erent types of institutional trust and online political activity. To assess online political activity, the authors developed an original methodology (questionnaire) “Online Political Activity Assessment Questionnaire”, including two subscales “Political self-expression on the Internet” and “Online political activism”. Questions from the European Social Survey (ESS) questionnaire were used to assess institutional trust. Th e sample included 502 respondents (60% were women). Th e study found that online political expression was unrelated to the overall index of institutional trust, although a negative relationship was expected. At the same time, we found that institutional trust is positively associated with online political activism. That is, people who have higher institutional trust will more oft en vote via the Internet, participate in various Internet campaigns initiated by the state or structures (for example, volunteer) that are supported by the state. We come to the important conclusion that support for the state’s digital initiatives and willingness to use them in everyday life is largely associated with people’s institutional trust.

Research target: Psychology Economics and Management Social Sciences
Language: Russian
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Keywords: Internetинтернетinstitutional trustинституциональное довериеonline political activitypolitical self-expressionполитическая активность онлайнполитическое самовыражение
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