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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?
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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A Global Study of the Wellbeing of Adolescent Students During the COVID-19 2020 Lockdown

School Mental Health. 2024. Vol. 16. P. 1120–1140.
Skrzypiec G., Wyra M., Topcu‑Uzer C., Sikorska I., Sandhu D., Romera E., Olenik‑Shemesh D., Nery M., Navarro‑Rodríguez C. D., Khlomov K., Kavuk‑Kalender M., Heiman T., Guarini A., Didaskalou E., Cefai C., Brighi A., Bravo‑Sanzana M., Alexandra Bochaver, Bauman S., Andreou E., Amri U.

As the COVID-19 (SARS-CoV-2) virus spread across the world, countries took drastic measures to counter the disease by requiring their citizens to home self-isolate i.e., lockdown. While it was not known how young people would cope with the social distancing restrictions, there was concern that the lockdown would have a debilitating efect on youth mental health. This study examined whether there was an association between adolescent subjective wellbeing and the amount of time spent in lockdown. Global Research Alliance researchers in 15 countries collected data using the Mental Health Continuum (Keyes in Am J Orthopsych 76:395–402, 2006) from over 7000 middle-school students aged 11–18. Findings show a decline in eudemonic wellbeing, particularly among females during the frst 6 months of lockdown, which was most strongly associated with diminished psychological wellbeing, followed by social wellbeing, while emotional wellbeing remained relatively stable. An adaptation efect was noted after approximately 6 months. There was evidence suggesting females were slower to adapt to lockdown conditions compared to males. More attention should be paid to the wellbeing of students in lockdown to overcome languishing tendencies and educators should be cognizant of diminished student wellbeing, particularly among females, when students return to school. Positive school experiences, and positive relationships within the school community, may assist in reducing the risk of languishing in lockdown conditions, so schools should design interactive online activities for of-campus learning.

Research target: Psychology Education
Language: English
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Keywords: социальное благополучиегендерные различияпсихологическое благополучиеблагополучиеwellbeingeudaimoniaэвдемонияhedoniaгедонияCOVID-19psychological wellbeingCOVID-19Social wellbeingGender diferences
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