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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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Влияние стрессовых факторов на эффективность прохождения ситуации оценивания сотрудниками с различным уровнем креативности

Социальная психология и общество. 2018. Т. 9. № 1. С. 108–123.
Hachaturova M. R., Fedorova A.

The skills of non-standard thinking and creativity play an important role in stress- ful situations. We hypothesized that stress factors influence the effectiveness of pass-  ing the assessment by employees: high level of creativity increases the effectiveness of task execution. We conducted the experiment and used J. Guilford’s technique and tasks on creativity thinking, created by T. Lubart and G. Altshuller. The sample con- sisted of 200 examinees (92 females and 108 males), employees of different organiza- tions (age — from 23 to 60). The results show that time limitation as a stressful factor decreases the effectiveness of passing the assessment by employees with both low and high levels of creativity (p£0,01). Work in a pair does not influence the effectiveness of passing the assessment regardless of the level of creativity (p³0,05). Multitasking     is stressful for employees with a low level of creativity (p£0,01). The results of our research can be taken as principles of psychological trainings for development of em ployees’ stress-resistance.

Priority areas: management humanitarian
Language: Russian
Full text
DOI
Keywords: креативностьcreativitystressстрессassessmentассессмент
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