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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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Образ родителей у людей с разным уровнем диспозициональной аутентичности

Психологические исследования: электронный научный журнал. 2025. Т. 18. № 99. С. 5.
Герц А.Б.

The role of parents in the development of children’s authenticity remains insufficiently explored and raises more questions than it answers. This exploratory study investigates the relationship between parental representations and the dispositional authenticity of adult children. To assess the variables of interest, the following instruments were used: an adapted version of the Semantic Differential for parent–child relationships, the Moscow Authenticity Scale, and the Brief Version of the Authenticity In-ventory. The sample included 149 participants from intact families (Mage = 23.3 years, SD = 5.13; 61% females). Three core dimensions of parental representations were identified: Engagement–Alienation, Discipline–Permissiveness, and Harmony–Disharmony. The findings indicate that dispositional authenticity is significantly associated with the perceived image of the mother—positively with Engagement and Harmony, and negatively with Discipline — but shows little to no association with the image of the father.

Research target: Psychology
Language: Russian
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Keywords: личностьпсихосемантикасубъектсемантический анализаутентичность личностиобразы родителей
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