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News
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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Гендерные установки мигрантов–мусульман в Западной Европе: многоуровневый неиерархический анализ

Мониторинг общественного мнения: Экономические и социальные перемены. 2017. № 1. С. 97–120.
Kostenko V.

I examine attitudes of Muslim migrants in Western Europe to the statement “When jobs are scarce, men should have priority over women” compared simultaneously to local Europeans and to their former compatriots back in the sending societies. Using a harmonized dataset combining European Social Survey as the core source, World Values Study, and European Values Study, and, I apply non-nested multilevel logistic regression. The survey shows that migrants in general assimilate fast and follow the trend of the receiving society, whereas Muslim migrants are society substantially less egalitarian gender-wise then local Europeans and other migrants (to various extent), however more liberal than their former compatriots.

Research target: Sociology (including Demography and Anthropology Mathematics
Priority areas: sociology
Language: Russian
Full text
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Keywords: международная миграцияIslamгендерное равноправиеценности мигрантовgender equalityinternational migrationgender discriminationгендерная дискриминацияgender attitudesгендерные установкиИсламimmigrant values
Publication based on the results of:
Эволюция культур сквозь призму трансформации личностной мотивации (2017)
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