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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Мониторинг субъективного благополучия в школе: оценка в рамках современной теории тестирования

Мониторинг общественного мнения: Экономические и социальные перемены. 2022. № 4. С. 247–272.
Т.Н. Канонир, И.Л. Угланова, А.А. Куликова

Subjective well-being draws attention of both researchers and practitioners. However, there is a lack of tools for assessing subjective well-being in children with proved validity and reliability and suitable for monitoring studies. The purpose of this paper is to present a new Survey of Subjective Well-Being in School and its psychometric characteristics. In particular, the authors focus on the comparability of the results of chil­dren of different ages and genders. The survey is based on the original theoretical framework of subjective well-being in school, which has previously received empirical confirmation. The IRT (Item Response Theory) methodology is used to verify psychometric quality of the survey. The sample included students in Grade 3 (N=842), Grade 4 (N=838) and Grade 5 (N=5735) in large cities in the central part of Russia. Samples were balanced by gender. The reliability and dimensionality of the scales, fit statistics, and the difficulty of the statements were analyzed, and the differential item functioning analysis (DIF) was carried out. The results showed that the Survey of Subjective Well-Being in School has good psychometric properties and can be used to conduct comparative studies in grades 3, 4, and 5. The discussion observes the possibility of using the Survey for cross-sectional and longitudinal studies.

Research target: Education Psychology
Language: Russian
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Keywords: субъективное благополучиеschool ageшкольный возрастsubjective well-beingСовременная теория тестирования (IRT)Item Response Theorymonitoring instrumentмониторинговый инструментанализ сопоставимости
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