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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.
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Intergenerational analysis of the relationship between involvement in the internet space and institutional trust among russians

Psychology. Journal of the Higher School of Economics. 2023. Vol. 20. No. 1. P. 20–30.
A. A. Mironova

This study attempts to analyze the relationship between involvement in the Internet space and institutional trust among Russians of different generations. This study is based on data from Round 8 of the European Social Survey. The data was collected between 2016 and 2017. The sample for Russia includes 2,430 respondents. The analysis was carried out using the method of multiple linear regression. Our study showed that the nature of the relationship between Internet use and institutional trust varies depending on their generation. Young people (18–30 years old) are the most active Internet users and they also have the highest levels of institutional trust relative to other generations. Furthermore, an increase in the time spent on the Internet is associated with an increase in institutional distrust among young people. Representatives of the middle (31–44 years old) and older (45–80) ages use the Internet relatively less frequently and have lower levels of trust in institutions. At the same time, the involvement of these age groups in the Internet space is associated with higher levels of institutional trust. Understan ding the nature of the relationship between institutional trust and Internet use is important for the government policy planning and strengthening institutional trust among Russians.

Research target: Psychology Sociology (including Demography and Anthropology
Language: English
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Keywords: информационно-коммуникационные технологиидовериеtrustЕвропейское социальное исследованиеInternetEuropean Social SurveyпоколенияИнституциональное доверие information and communication technologiesgenerationsinstitutional trustИнтернет
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