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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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Роль академических успехов и родительского благополучия в субъективном благополучии учащихся в начальной школе

С. 48–54.
Akhmedjanova D., Bochaver A. A.

An increasing attention is observed around children's subjective well-being (SWB) in educational contexts (Polivanova, 2020). Research shows associations between children’s SWB and their academic outcomes, motivation, social-emotional skills, self-efficacy, and self-regulated learning (SRL; Cespedes et al., 2021; Chu et al., 2020; Kanonire et al., 2020). Parental stress and satisfaction also associate with children's SWB (Ozornina et al., 2022). There is a dearth of research on the role of elementary school children’s SWB and parental stress and satisfaction in relation to academic achievement. The purpose of this study was to examine the relationship between SWB, SRL, self-efficacy, parental stress and satisfaction with academic outcomes of school students as part of the longitudinal study of school failure factors. Method. The sample included 2475 fourth-grade students (49.4% girls, 50.6% boys) and 1032 parents (87% mothers, 13% fathers). Tools. The Subjective Well-Being Questionnaire (Kanonire et al., 2020; Kanonire et al., 2022) was used to measure SWB, and the Domain-Specific Self-efficacy Scales for Elementary School (Akhmedjanova, 2024) to assess self-efficacy. To measure SRL, the Self-Regulated Learning Strategies Scale in Elementary School was used (Akhmedjanova & Lizunova, 2024). To assess mathematical and reading literacy, we used the “Progress” test (Federyakin et al., 2021; Bakai et al., 2023). The Parental Stress Scale (Bochaver et al., 2023) was used to measure parental stress and satisfaction. The multiple regression method was used to analyze data. Conclusion. The results showed that parental stress and satisfaction are associated with children's SWB, and these associations vary depending on the children’s gender. Such factors as math grades, self-efficacy in math and reading, and SRL are positively associated with children's SWB in the 4th grade. While parental stress is negatively associated with child well-being, especially in girls. The report discusses how the results can be used to improve SWB in elementary school students.

Language: Russian
Text on another site
Keywords: субъективное благополучиесамоэффективностьсаморегуляцияsubjective well-beingself-efficacyself-regulated learningакадемические результатыparental satisfactionparental stressродительский стресс academic achievementродительская удовлетворенность
Publication based on the results of:
Longitudinal study of factors influencing school failure (2024)

In book

Сборник статей X Международного форума по педагогическому образованию IFTE-2024
Ч. 1: МИНИСТЕРСТВО НАУКИ И ВЫСШЕГО ОБРАЗОВАНИЯ РОССИЙСКОЙ ФЕДЕРАЦИИ РОССИЙСКАЯ АКАДЕМИЯ ОБРАЗОВАНИЯ КАЗАНСКИЙ ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ ИНСТИТУТ ПСИХОЛОГИИ И ОБРАЗОВАНИЯ ИССЛЕДОВАТЕЛЬСКАЯ ТРАНСФОРМАЦИЯ ПЕДАГОГИЧЕСКОГО ОБРАЗОВАНИЯ: ТРАДИЦИИ КАК ОСНОВА ДЛЯ ИННОВАЦИЙ. , Издательство Казанского университета, 2024.
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