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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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Факторы жизненного успеха и социального статуса в сознании россиян

Вестник Института социологии. 2018. № 27. С. 11–43.
Tikhonova N. E.

This article reveals that, during the last 15 years, drastic shifts have occurred in the subjective social structure of Russian society: the people for the most part no longer consider themselves to be “social outsiders”, while Russian society itself has become a society undoubtedly dominated by a subjective middle-class, albeit predominantly a lower middle-class. However, such a positive shift does not equal Russians being completely satisfied with the situation at hand when it comes to stratification, since their actual position in the status hierarchy is currently much lower not only than desired, but also lower than those status positions which they reckon they should be occupying in this hierarchy “in all fairness”. Russian people’s dissatisfaction is mostly a result of them considering opportunities for success and prosperity to be associated with the social, economic and cultural capital of one’s parents, as well as with various unlawful practices (such as corruption, bribery), not only with one’s hard work or quality education. These views seem to be stable over time, and to some extent they are similar to the views of German people. However, in the eyes of Russians various unlawful practices (primarily bribery) play a greater role when it comes to achieving success in life. In addition to that, one’s parents’ education, as well as one’s own education, hard work and ambition play a slightly less significant role (which is decreasing year after year) in Russia. This means that, as time passes, more Russian people are becoming convinced that a person’s personal efforts and goals are not a key factor in achieving life success and high status positions in Russian society. Statistical verification indicates that these views are objectively justified, since, according to the former, upper strata of Russian society are becoming increasingly more closed, with lower strata starting to close as well. High indexes of self-reproduction of opposing status groups within mass layers of the population, together with an increasing polarization of the population (primarily young people) – these are all dangerous tendencies in terms of their sociopolitical and economic consequences, which lead to authorities being delegitimized, as well as Russian people losing their motivation to achieve success in life through their own efforts.

Research target: Economics and Management Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: economics sociology state and public administration humanitarian
Language: Russian
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Keywords: inequalityстатусобщественное сознаниесоциальная структура в Россииstatusобщественное мнениенеравенстваsocial structure in Russiastatus hierarchysubjective stratificationсубъективная стратификациястатусная иерархия
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