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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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Big Five Personality Traits And Academic Performance In Russian Universities

2013.
Orel E., Kochergina E. V., Nye J. V.
  We study which Big Five personality traits are associated with academic performance among a sample of Russian university students using results from the Unified State Examination (for university admissions) and their current grade point averages as measures of academic performance. We find that Introversion, Agreeableness, Neuroticism, and Openness to experience have observable ties to academic performance. Those results partially confirm existing international studies, but our findings are notable for the relative unimportance of  conscientiousness for success in our Russian sample. We suggest that cross-cultural differences  in educational environment may explain why this trait seems less obviously important in the analysis.
Research target: Psychology Education
Language: English
Full text
Keywords: academic performanceакадемическая успеваемостьpersonality traitsличностные чертыпсихология образованияhigher education
Publication based on the results of:
Empirical methods in comparative institutional analys (2013)
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