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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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Эмпатия и интолерантность российской молодежи в отношении инвалидов: половые и личностные различия

Экспериментальная психология. 2019. Т. 12. № 1. С. 53–69.
Burkova V., Butovskaya M., Феденок Ю. Н.

In this article, we present the results of a study on empathy and intolerance in relation to people with disabilities among Russian students. We investigated gender and personal differences in the relationship between the level of aggressive behavior, empathy and anxiety (as an indicator of stress). The sample consisted of 192 students — 106 of young men and 86 of young women (average age 20 years). We used a psychological questionnaires and experimental design with the presentation of stimulating photographs. At the first stage, all respondents filled in a personal questionnaire of the self-ratings on aggressive behav- ior by Bass&Perry, questionnaire of empathic abilities developed by Boyko, and the Spielberg-Khanin questionnaire for determining the level of anxiety. On the next step, we showed a stimulus material — a set of pictures with disabled people. After photo session, we asked respondents to fill in questionnaires on empathy and anxiety again. The results of the study show that the effect of stimulant photos stimulated the arousal of the level of anxiety and empathy in students, Also the development of empathy can lead to a decrease in the number of manifestations of rejection, hostility and aggression (and, consequently, fear) towards people with disabilities.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Full text
DOI
Keywords: студентытревожностьинвалидыэмпатияstudentsагрессияanxietyempathyintoleranceинтолерантностьaggressionpeople with disabilitiesстимульные фотоизображения опросник Басса—Перриопросник Спилбергера—Ханинаопросник Бойкоstimulus fotoBuss&PerrySpielberg-KhaninBoyko questionnaire
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