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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.
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May 25, 2026
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Attitude to work as a factor of stability of a woman's social signature during the transition to motherhood

С. 255–258.
Витовская Д. И., Мирошниченко Е. Д., Mararitsa L.

The research examines how work attitudes influence the woman's social signature during the transition to motherhood. Previous studies show that communication patterns remain stable despite life changes, however, most used student samples, leaving little research on other circumstances, such as becoming a parent. In a longitudinal study, interviews collected week-long communication data across all channels (calls, messengers, face-to-face interactions) from 43 women at three stages: pregnancy, within six months and 1.5 years after childbirth. Findings show that women with higher work centrality and engagement exhibit more stable social signature than women for whom work is less significant.

Language: Russian
Full text
Keywords: interpersonal communicationмежличностное общениеwork engagementувлеченность работойотношение к работеchildbirthрождение ребенкаattitude to worksocial signaturework centralityimage of a professional futureсоциальный почеркцентральность работыобраз профессионального будущего
Publication based on the results of:
Динамика социального почерка и субъективное благополучие женщин в период рождения первого ребенка (2025)

In book

The Current Issues in Theoretical and Applied Psychology : Proseedings, Yerevan , 10–12 октября 2025 года
Yerevan: Yerevan State University, 2025.
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