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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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Образы старения и сценарии собственной старости в представлениях людей среднего возраста

Журнал исследований социальной политики. 2025. Т. 23. № 4. С. 751–766.
Бемлер Е. С., Madfes O.

The article examines perceptions of aging and scenarios for the future of old age in the
minds of middle-aged people in contemporary Russia. Based on 22 in-depth interviews with
respondents aged 39–60, the study reveals how middle-aged people conceptualize old age, plan
for their old age, and what adaptation strategies they develop to overcome potential difficulties.
The results show that despite the prevalence of positive perceptions of aging, there is a
significant gap between the idealized image of «successful aging» and real concerns related to
physical limitations and social isolation. Informants demonstrate two main strategies: proactive

old age planning and passive waiting, which reflect their level of confidence in the future and
available resources. The article emphasizes the importance of understanding aging as a social
phenomenon that requires attention to the perceptions and practices of middle-aged people that
shape their identity and life strategies.

Research target: Social Sciences
Language: Russian
Full text
DOI
Text on another site
Keywords: старениеagingviews on agingaging planningобразы старенияпланирование старения
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