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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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Имплицитные концепции верующего и неверующего в структуре религиозной идентичности

Мир психологии. Научно-методический журнал. 2014. № 4. С. 272–283.
Kosheleva N., Kozlova M. A.

In the article the category of religious identity is considered as a construct that describes, on the one hand, the form of reflections and experiences of reality, on the other - the mechanism of formation of the social group on the basis of religious affiliation. The implicit concept of the believer and the unbeliever is considered as a «bridge» between the two levels of conceptualization of religious identity. An empirical study of Russian students’ implicit concepts allowed to relate the content of notions about the believer/the unbeliever and self and to demonstrate the existence of a correlations between the propensity to believe in the supernatural and the content of implicit concepts of the believer and the unbeliever.

Research target: Psychology
Language: Russian
Keywords: самокатегоризацияreligious identitygroup identityгрупповая идентичностьSelfРелигиозная идентичностьимплицитные концепцииimplicit conceptions
Publication based on the results of:
Activity resources of psychological well-bein (2014)
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