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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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?

Забота о здоровье и отношение к профилактике заболеваний

С. 6–38.
Kozyreva P. M., Смирнов А. И.

The study aimed to analyze the dynamics of Russians’ attitudes toward disease prevention and the prevalence of the most significant preventive behavior practices. The analysis is based on data from the Russian Longitudinal Monitoring Survey (RLMS-HSE). The study revealed a noticeable increase in Russians’ responsible attitude toward disease prevention. However, despite this increase, the overall level of citizens’ preventive activity remains low. Positive, but often moderate, changes were noted in ensuring the coverage of Russians with preventive medical examinations and check-ups – one of the main areas and target indicators for the implementation of the national Healthcare project. The coverage of the population with vaccination against coronavirus and influenza was far from complete. The study showed that an important task, as before, is to increase Russians’ interest in information about a healthy lifestyle (HLS), which contributes to the growth of citizens’ general literacy in matters of maintaining health. But at the same time, a significant reduction, mainly due to young people, in the proportion of Russians who drink alcohol and are addicted to smoking, as well as a slow increase in the proportion of citizens engaged in physical exercise, was revealed. Most of the analyzed relationships between the basic indicators of social well-being (satisfaction with life in general, assessment of one’s material well-being, self-assessment of health) and the involvement of respondents in various preventive behavior practices reach the level of statistical significance.

Language: Russian
DOI
Text on another site
Keywords: здоровый образ жизниhealthy lifestyleсамосохранительное поведениеотношение к здоровьюhealth careattitude to healthсамооценка здоровьяself-assessment of healthself-preservation behaviorпрофилактика заболеванийзабота о здоровьеdisease preventionЗОЖ
Publication based on the results of:
Monitoring the socio-economic conditions of households in Russia, 1994-2026 (2027)

In book

Россия реформирующаяся: ежегодник
Вып. 23. , М.: ФНИСЦ РАН, 2025.
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