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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?
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Systemic Stress in the EU under the COVID-19 Pandemic: the Impact of ECB Monetary Policy Decisions

P. 388–396.
Mukhametov O.

After the announcement of the COVID-19 pandemic the volatility in financial markets has increased significantly, which has caused the intensification of the systemic financial stress in the EU countries. European central bank (ECB) has taken several measures, including expanding asset purchase programs to mitigate the negative effects of the coronavirus crisis. The significant increase in asset purchases has stabilized financial markets, which returned to pre-crisis levels after a surge in volatility. This paper examines the impact of ECB extended quantitative easing on indicator of systemic financial stress in EU countries. The paper presents a panel vector autoregression (PVAR), which includes the indicator of systemic stress and the change in the balance sheet of the Eurosystem as the endogenous variables. The analysis has demonstrated that changes in the volume of asset purchases did not have a statistically significant effect on the indicator of systemic stress. However, these results can inevitably be considered only as preliminary, since a more detailed study requires a longer and more structured time series.

Language: English
DOI
Text on another site
Keywords: unconventional monetary policypanel vector autoregression systemic risk

In book

Proceedings of the Research Technologies of Pandemic Coronavirus Impact (RTCOV 2020)
Osipova O. Atlantis Press, 2020.
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