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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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Инфодемический думскроллинг и психологическое благополучие россиян

Общество: социология, психология, педагогика. 2022. № 12. С. 129–136.
Maksimenko A., Дейнека О. С., Мортикова И. А.

The morbid tendency of users to scroll through negative content, which has intensified against the background of external threats and challenges, needs to be psychologically studied. The authors of the article have attempted to validate the doomscrolling scale and to find meaningful correlations between its manifestations and certain personality traits, as well as the psychological well-being of Russians. The study, which was conducted in October 2022 in the online survey mode using the Yandex.Toloka service, was attended by 804 Russians (49,4 % of women and 50,6 % of men, the average age of the respondents is M = 38,92; SD = 11,28). The methodological toolkit consisted of two blocks. The first block of techniques focused on the manifestations of doomscrolling, taking into account respondents’ dependence on social media and fear of missing something important (information neurosis); the second block focused on analyzing the psychological well-being and personality profile of respondents. The results of the study confirmed the close links between doomscrolling degree and social media addiction. Men and young people, emotionally unstable and too gullible personalities, turned out to be more susceptible to the influence of doomscrolling.

Research target: Psychology Media and Communications
Language: Russian
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Keywords: психологическое благополучиеRussiansроссиянеpsychological well-beingинфодемияinfodemicFear of missing outdoomscrollingsocial media addictionnews avoidanceдумскроллингзависимость от социальных сетейстрах что-то пропуститьизбегание новостей
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