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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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Краткая версия Шкалы аутентичности в отношениях: психометрическая проверка в российской культуре

Социальная психология и общество. 2024. Т. 15. № 3. С. 181–201.
Борисова А. Ю., Nartova-Bochaver S. K.

Objective. Psychometric validation of the Russian-language short version of the Authenticity in Relationships Scale (AIRS), which allows you to assess the degree of authenticity in various contexts: partners, parents, friends and colleagues. Background. The basis of close relationships as an absolute value for different cultures is honest self-presentation, which contributes to a person’s psychological well-being and increases satisfaction with communication. Authentic relationships include unacceptability of deception and intimate risk taking. In authentic relationships, there should be no desire to produce and maintain ideas about oneself and one’s partner that do not correspond to reality. They also imply a desire for more open, close communication, i.e., revealing one’s real self to another person. To measure this quality, the Authenticity in Relationships Scale was developed in the USA and GB, which has not yet been subjected to systematic psychometric testing, although there are no analogues to this instrument in Russia, which determined the relevance of this study. Study design. Standard psychometric validation of the methodology was carried out for each of the four contexts: partners, parents, friends, colleagues. The Cronbach coefficient alpha was analyzed on the full sample of respondents; half of the respondents’ answers were selected for exploratory factor analysis, the other half for confirmatory factor analysis. Participants. The study involved 449 respondents aged 18 to 60 years (10% male, 90% female; average age — 27 years (min = 17, max = 60)). The study participants are Russian—speaking citizens of the Russian Federation, representatives of different professions. Measurements. The main method was a short version of the Authenticity in Relationships Scale, which included 10 statements for each context. Data were collected online using the 1ka.si service. Jamovi (v. 2.3.21.0) was used for data processing. Results. The scale is applicable only to the context of a romantic relationship. For other contexts, the original model has not been confirmed. Conclusions. The methodology can be applied in research and in psychological counseling to study the authenticity level of romantic relationships. The scale’s applicability to other social contexts requires further testing.

Research target: Psychology
Language: Russian
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Keywords: валидностьvalidityyouthмолодостьблизкие отношенияромантические отношенияаутентичность личностиauthentic relationshipsdispositional authenticity romantic relationshipsаутентичные отношения close relationshipsAIRSШАО
Publication based on the results of:
Аутентичность личности: предикторы, проявления, приложения (2020)
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