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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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Навигация по гражданской инклюзии: ключевые антецеденты социальных маркеров принятия иммигрантов в России

Вестник Российского университета дружбы народов. Серия: Психология и педагогика. 2024. Т. 21. № 2. С. 490–510.
Grigoryev D., Gallyamova A., Komyaginskaya E.

The article explores the links between four principal antecedents—deprovincialization, perceived diversity norms, autochthony belief, and relative deprivation—and social markers of acceptance of immigrants in Russia. In an epoch increasingly influenced by immigration, it is imperative to meticulously examine how these antecedents are correlated with social markers of acceptance, which hold significant implications for immigrants’ adaptation. This study aims to ascertain the extent to which these variables are correlated with social markers of immigrant acceptance within the Russian context. Survey data from 1,009 participants, predominantly self-identifying as ethnic Russians, were analyzed. The questionnaire was developed using new and original measures. The findings demonstrate that deprovincialization and perceived diversity norms within an individual’s immediate surroundings showed effects on the social acceptance of immigrants, both directly and indirectly. Furthermore, autochthony belief and relative deprivation were identified as having mediating effects in these dynamics, highlighting their significance across all social markers of acceptance. These insights deepen our understanding of the complex process of immigrant social acceptance, accentuating the importance of individual differences and social influences. The study further reveals that immigrant social acceptance extends beyond mere openness and positive attitude towards cultural diversity, involving an inclusion of ethnocultural groups into the larger society that addresses group hierarchy and inequality in a manner deemed acceptable by the host society. By exploring these associations in detail, the research offers valuable information that could inform initiatives aimed at enhancing social inclusion and promoting intercultural and interethnic relations and harmony in Russia.

Research target: Social Sciences Psychology Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Other social sciences
Language: Russian
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Keywords: относительная депривацияаккультурационные ожиданияacculturation expectationsмежкультурные отношенияrelative deprivation intercultural relationsinterethnic relations and conflictsмежэтнические отношения и конфликтысоциальные маркеры принятияsocial markers of acceptancedeprovincializationautochthony beliefperceived diversity normsвоспринимаемые нормы многообразиядепровинциализмвера в автохтонность
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