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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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The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020

Vol. 92: SHS Web of Conferences . Issue 07062 . EDP Sciences, 2021.

Research background: Ethnic identity development, while universal, is also recognized as an especially important prerequisite for economic and social life among indigenous populations [1, 2]. Global transformations such as technology, industrialization, global warming and political and economic forces are impacting positive ethnic identity development in indigenous populations around the world. Purpose of the article: The purpose of this study is to examine gender differences in ethnic identity erosion in the adolescent indigenous Nenets population of the Russian Siberian Arctic Region. Methods: The study sample included 78 children in boarding schools from the northern area of Western Siberia. To define ethnic identity, the "Types of Ethnic Identity" questionnaire [3] was used. Findings & Value added: The study results show that across 8th-9th grade as well as 10-11 grade Nenets adolescent boys perceive their ethnic identity positively. However, the same indicators show girls do not view their ethnic identity as positively. There are also several other interesting gender differences that emerge between the students in each grade. This may be the result of specific gender differences in perceptions about the economic and social realities of tundra life, the position of women in traditional societies as well as the impact of global transformations on indigenous populations overall.

Chapters
Ethnic identity erosion in the indigenous Nenets population under globalization influence: gender differences between adolescent girls and boys
Telitsyna A., Zabelina E., Kurnosova S., , in: The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020Vol. 92: SHS Web of Conferences . Issue 07062 .: EDP Sciences, 2021. Ch. 92 P. 1–14.
Research background: Ethnic identity development, while universal, is also recognized as an especially important prerequisite for economic and social life among indigenous populations [1, 2]. Global transformations such as technology, industrialization, global warming and political and economic forces are impacting positive ethnic identity development in indigenous populations around the world. Purpose of the article: The ...
Added: June 22, 2021
Language: English
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DOI
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Keywords: ethnic identityArctic indigenous populationsat-risk adolescents identity erosion
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
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