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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.
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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.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Impact of Climate Change on the Subjective Well-Being of Households in Russia

Regional Research of Russia. 2018. Vol. 8. No. 3. P. 281–288.
Kovalev, S.Y., Mkrtchian G. M., Blam I. Y., Tsvelodub Y. O.

An analysis is performed for the impact of climate change on life satisfaction among households. The dependence of individual well-being on regional climatic parameters is quantitatively assessed. It is hypothesized that the self-reported life satisfaction among participants of panel surveys generally reflects individuals’ rational views, which can be interpreted as values of an individual utility function, whose parameters can, in turn, be estimated using a regression model. Econometric estimates of the parameters of the individual “happiness function” are made using ordered probit regression, from Rosstat data and the primary results of a nongovernmental monitoring survey of economic welfare and health of individuals and households in the Russian Federation (the Russian Longitudinal Monitoring Survey-Higher School of Economics (RLMS-HSE)). It is shown that the climate factor has a significant impact on the subjective well-being of respondents, which puts climate on par with other, more conventional factors of analysis, such as income, employment, health, quality of potable water and air, etc. The results of this study can be used in economic assessments of the implications of climate change and to develop of programs aimed at preventing such change. © 2018, Pleiades Publishing, Ltd.

Priority areas: economics sociology
Language: English
DOI
Text on another site
Keywords: climatesubjective well-beingclimate change21st century Russia
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