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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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Патриотизм и национализм в России: механизмы влияния на экономическую самостоятельность

Культурно-историческая психология. 2013. № 3. С. 22–31.
Grigoryan L.

The aim of this research was to test a two-factor model of civil identity on the Russian sample and a model of direct and indirect (i.e. mediated by the attitude to immigrants) impact of two forms of civil identity, patri- otism and nationalism, on the attitude towards economic independence. The model was tested on the sample of Russians (N = 856) from four regions of Russia (average age 36 years, 51 % female) using a survey method. The scales for measuring nationalism, patriotism and attitudes to immigrants were adapted from the International Social Survey Program (ISSP, 2003). In order to measure the attitude towards economic inde- pendence the respondents were also asked to evaluate the following statement: "I know that my well-being depends mostly on my own efforts". As it was revealed, civil identity in Russia is represented not in two, but in three dimensions: nationalism, pride for the nation's achievements, and pride for the country's social and polit- ical system. It was found that while pride for the nation's achievements has no connections with the attitude to immigrants, pride for the country's social and political systems leads to positive attitudes to immigrants, whereas nationalism leads to negative ones. The data obtained in the study prove that patriotism as expressed in the individual's pride for the country's social and political system has a direct and positive impact on his/her attitude towards economic independence, while positive impact of nationalism on the same attitude is mediat- ed by the individual's negative attitudes towards immigrants.

Priority areas: economics sociology humanitarian
Language: Russian
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Keywords: патриотизмэкономические установкинационализмпредубежденияэкономическая самостоятельностьГражданская идентичностьустановки по отношению к иммигрантам
Publication based on the results of:
Sociocultural Factors of the Mutual Adaptation of Migrants and the Host Population in Russia's Regions (2013)
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