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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.
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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.
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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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Поведение, связанное с сокрытием информации, и порицание коррупции: роль психологического превосходства и темной триады

Вестник Омского университета. Серия: Психология. 2025. № 2. С. 16–25.
Maksimenko A., Загладина А. Р.

The study examines the correlation between the behavior associated with information concealment and the condemnation of corruption through the prism of psychological superiority and traits of the "dark triad". The relevance of the study is due to the fact that concealment of information often leads to corruption schemes and reduces the effectiveness of management, which makes the study of this relationship especially important in combating corruption. The study includes the results of an all-Russian online survey conducted in the spring of 2024. The sample included 509 respondents (42.4% men and 57.6% women), whose average age was 41.34 years. To collect the data, adapted questionnaires were used to assess the traits of the "dark triad", psychological superiority and condemnation of corruption. The behavior associated with the concealment of information was measured using a 3-point questionnaire by A. Serenko and N. Bontis. The data were analyzed using correlation analysis and sequential mediation analysis. Machiavellianism increases the feeling of psychological superiority, which, in turn, leads to condemnation of corruption. However, Machiavellianism also increases the desire to conceal knowledge, which, on the contrary, is inversely correlated with the condemnation of corruption. Narcissists also feel more psychologically superior and tend to hide knowledge. But if their sense of superiority can lead to condemnation of corruption, then hiding information makes them more tolerant of it. When these two factors are included in the model, the direct influence of narcissism on attitudes towards corruption becomes insignificant. This suggests that a sense of superiority and the concealment of knowledge fully explain the link between narcissism and attitudes towards corruption. As a result, narcissists who feel superior and prefer to conceal information are less likely to condemn corruption.

Research target: Psychology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: Темная триадапсихология коррупцииpsychology of corruptionpsychological entitlementпсихологическое превосходствопорицание коррупцииknowledge hiding behaviorthe dark triadcondemnation of corruptionповедение, связанное с сокрытием информации
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