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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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Проблема «Самотождества Я» у лиц с ограниченными телесными возможностями

Мир психологии. Научно-методический журнал. 2023. № 4. С. 85–95.
Шевченко Н. А.

The article presents an analysis of the literature on the problem of achieving self-identity in persons with disabilities. The analysis of literary sources devoted to the problem of disability and self-identity of the self is carried out. A comparative analysis of the self-identity of the self and the internal picture of the disease is carried out. Suggestions are made about the role of self-identity as a resource for resilience in people with disabilities.

Language: Russian
Full text
DOI
Keywords: общая персонологияЯпсихология личностижизнестойкостьреабилитацияResilienceмедицинская психологияdisabilitypsychology of personalitygeneral personologyвнутренняя картина болезниmedical psychologyinternal picture of illnessограниченные телесные возможностисамотождестволичность в ситуации болезни self-identity REHABILITATIONSELFSELF-EQUALITYPERSON IN A SITUATION OF ILLNESS
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