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News
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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Динамика поддержки эмансипативных ценностей в России в ходе пандемии COVID-19

Социологический журнал. 2023. Т. 29. № 2. С. 8–24.
Korsunava V., Sokolov B.

We analyze country-wise and individual trends in emancipative values in Russia during the COVID-19 pandemic, as well as the relations between values and various personal COVID-19 pandemic experiences. Using panel data from 3 waves of the “Values in Crisis” survey, we find a tiny increase in choice values and an equally tiny decrease in equality values between June 2020 and December 2021. Negative personal economic experience during the pandemic reduces support for equality values whereas prospective economic concerns are positively, although weakly, associated with equality values. Neither personal experience of COVID-19 nor health-related anxiety are related to support for gender equality. Neither indicator of negative pandemic experience correlates with individual choice values. Overall, emancipative orientations seem to be reluctant to the short-term worsening of living conditions in Russia, both at the societal and the individual levels

Research target: Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: emancipative valuesценности выбораCOVID-19equality valuesценности равенства"Ценности в кризисе"эмансипативные ценностиchoice valuesCOVID-19"Values in Crisis"
Publication based on the results of:
Value Polarization and Its Societal Consequences in a Comparative Perspective (2023)
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