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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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Адаптация и модификация методики аккультурационных ожиданий Джона Берри

Социальная психология и общество. 2017. Т. 8. № 3. С. 125–146.
Lepshokova Z., Tatarko A.

The paper is devoted to the description of the process of adaptation and modification on the Russian sample Berry’s questionnaire of acculturation expectations. Acculturation expectations are the host population’s (or representatives of dominant ethnic groups) attitudes towards the migrants or members of ethnic minorities. In his own theory of acculturation, John Berry described four acculturation expectations of the host population: “integration” (previously known as “multiculturalism”), “assimilation” (or “the melting pot”), “segregation”, “exclusion”. In addition, Berry developed questionnaire of personal preferences of acculturation attitudes. In our study, we adapted this questionnaire on the Russian sample. In the process of adaptation, we have made some modifications in the questionnaire, increasing twice the number of items, this helps us increase reliability and consistency of the Russian version of this questionnaire. Then we conducted the socio-psychological survey on a sample of the indigenous Russian population of Moscow (total sample size of 198 respondents, including 59 men and 139 women, the average age of respondents 24 years). According to the obtained results, the adapted and modified questionnaire of acculturation expectations can be considered a reliable and valid instrument for measuring the acculturation expectations of host population/ dominant society in the Russian Federation.  

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: мультикультурализмассимиляцияинтеграцияисключениеаккультурационные ожиданияаккультурация мигрантовпринимающее населениесегрегацияплавильный котел
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