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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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Смысловое совладание как мишень психологической диагностики

Консультативная психология и психотерапия. 2025. Т. 33. № 2. С. 171–190.
Leontiev D., Rasskazova E., Taranenko O.

Context and relevance. The work is aimed at adapting the “Meaning-Centered Coping” (MCC) scale (Eisenbeck et al., 2022). Methods and materials. The adaptation was carried out on the basis of several samples. The first one was collected in 2020 during the COVID-19 pandemic as a part of the large scale international study, in which the technique was created (402 participants), the second one as a part of a separate methodology-centered study on the adult sample (95 participants), and the third one on a sample of university students (175 participants). All participants filled Meaning-Centered Coping Scale. Study 1 included also PERMA Profiler, Depression, Anxiety, and Stress Scale SASS 21, a situational version of COPE inventory related to pandemic, Sense of Coherence Scale. Study 2 included PERMA Profiler, Study 3 — PERMA, Noetic Orientations Test and Test of Personal Life Position. Results. A satisfactory scale consistency was revealed, the test score was significantly associated with meaning scale of PERMA, NOT scales and the Sense of Coherence; to a lesser degree with other well-being indices and with awareness and authenticity scales of PLP. In the pandemic context MCC scores decreased through 6 months’ interval, predominantly in those participant who claimed that pandemic has a negative impact on their life. Besides, MCC was strongly associated with reappraisal and personal growth copings in the pandemic context and, to a lesser degree, with active coping, religion, acceptance and planning. Conclusions. The scale can be of use for the assessment of meaning-centered coping in the counseling practice.

Research target: Psychology
Language: Russian
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Keywords: кризисcrisisсмыслсовладаниеблагополучиеcopingmeaning of lifepersonal life position well-beingжизненная позиция личности
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