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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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COVID-19 Pandemic, Catalytic Institutions, and Consumer Well-Being: Evidence from Russia

Ch. 18. P. 367–388.
Krasnikov A. V., Rebiazina V. A., Berezka S.

The purpose of this chapter is to examine changes in the well-being of Russian consumers, caused by the COVID-19 pandemic. Building upon both micromarketing and macromarketing perspectives, the authors identify key topics in studies of consumer behavior during the world-wide spread of a novel and deadly coronavirus, and examine changes in behaviors in relation to individual and community well-being in Russia. These topics are further examined using data collected during the outbreak of COVID-19 to compare changes in individual and community well-being across in Russia, Brazil, China, India and South Africa. Finally, the authors examine how Russian consumers adjust their behaviors during lockdown. The results shed light on changes to consumer behavior patterns caused by global pandemic in a transitional economy, with implications for health-and-well-being management in Russia and potentially other transitional economies distressed by future health crises.

Language: English
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Keywords: RussiaBRICSConsumer BehaviorConsumer Well-beingQuality-of-LifeCOVID-19digital transformation

In book

Community, Economy and COVID-19: Lessons from Multi-Country Analyses of a Global Pandemic
NY: Springer, 2022.
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