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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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Жизненные модели молодых людей: представления о будущей семье и модели, транслируемой родителями

Психологическая наука и образование. 2019. Т. 24. № 3. С. 5–18.
Москвичева Н. Л., Rean A., Костромина С. Н., Гришина Н. В., Зиновьева Е. В.

The article substantiates the introduction of the “life model” construct as a frag­ment of life scenario in a specific area of human life and describes the develop­ment of tools for its study.The results of a study on life models of relationships in young people (on a sample of 100 students of St.Petersburg State University, the average age of 21 ± 1.1 years) are presented by the following parameters: the need for creating a family and maintaining close relationships; understanding the nature of relationships in a future family (distribution of responsibility and power); commitment to family life space in comparison with the students' perceptions of their parents’ life models.The paper characterises the impact of parental fam­ily on the individual’s life scenarios.It shows that the consistency of life models reveals itself in the young people’s desire to reproduce their parents’ model of emotional intimacy in relationships, provided that they evaluate the relationships in their families as successful; no such consistency was found in the professional sphere.Finally, five types of life models in the young people are described, emphasizing the leading role of closeness/distance with parental family in their con­tent, which confirms the fundamental importance of the respondents' orientation towards close relationships with their parental family.

Research target: Psychology
Language: Russian
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Keywords: молодежьсемьяжизненный сценарийlife scenarioyoung peopleParental Family familylife modelжизненная модельродительская семья
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