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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
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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Отношение российских рабочих к своим ресурсам: финансам, здоровью и свободному времени

Журнал исследований социальной политики. 2016. Т. 14. № 2. С. 229–244.
Karavay A.

This article considers the attitude of Russian workers to their resources by employing the empirical data of 2014 from the all-Russian research of the Institute of Sociology of the Russian Academy of Sciences. What emerges is that manual workers and those employed in the trade and services industry are similar in their behavior and the strategy they employ on managing the resources available to them. On the other hand, they differ from skilled and highly qualified non-manual labor. In this regard, the situation in Russia is similar to other countries in the West. Interestingly, most workers do not perceive finances, health, and free time as strategic resources that could assist with steady economic and social status. Such attitudes are due to their values and lifestyles, particularly a tendency to have a smaller horizon for planning than that of qualified non-manual workers. One of the main financial features in all groups of workers is a tendency to spend all one's disposable funds rather than saving them, even at the expense of taking on increased debt. When considering available financial funds, consumer attitudes prevail among them, which is caused by the prominent tendency of conspicuous consumption among workers. They also treat the health in a consumerist fashion, paying less attention to it than many other social-economic groups in Russia. Although stable employment for workers mostly depends on physical health, a healthy lifestyle and sports activities are not widespread among them, and few of them use the services of voluntary medical insurance. They tend to spend free time on simple domestic forms of leisure, rather than accumulating their resources in, for example, human capital. As a result, the 'margin of safety' for all working groups, including their highly skilled representatives that have a rather high income, is rather small. In conditions of an economic crisis and reforms of the social state, Russian workers appear to be one of the most vulnerable population groups, and the data on the condition of various professional groups during the second economic crisis of 2014 confirms this.

Research target: Sociology (including Demography and Anthropology Social Sciences
Priority areas: sociology
Language: Russian
Text on another site
Keywords: финансовое поведениездоровьесоциальная структураhealthsocial structureрабочиесвободное времяworkersleisurefinancial behaviorprofessional groupsпрофессиональные группыresource availabilityресурсообеспеченность
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