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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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Don’t say it’s over: The perceived epidemic stage and COVID preventive behaviour

Journal of Health Psychology. 2024. Vol. 29. No. 10. P. 1150–1163.
Sinyavskaya Y., Eritsyan K., Antonova N., Sharin N.

Little is known about the perceptions of the COVID-19 pandemic’s dynamic and its effect on self-protective behaviour. Using survey data from 1343 university students we explored how the perceived temporal distance to the COVID pandemic peak associates with risk perception and the adherence of preventive behaviours. Results show that individuals differ in their perception of the pandemic stage despite being in the same environment. The belief that the COVID peak is in the past was associated with less perceived risk and decreased self-protection. A high COVID-19 media involvement and trust in the authorities were associated with higher perceived risk and preventive behaviour implementation. Overall, the perception that the pandemic wave is in its final stages could be an independent predictor of more risky behaviour. Thus, the communication of the pandemic dynamic should be provided by policy makers with caution to avoid the possibility of discounting the risk.

Research target: Media and Communications Health Studies Social Sciences Psychology
Language: English
DOI
Text on another site
Keywords: risk perceptionCOVID-19 pandemicrepceived temporal distance
Publication based on the results of:
Institutions, Attitudes and Behavior of People during Exogenous Shocks and Reforms (2024)
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