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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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Ключевая категория анализа отношений в инклюзивных классах

Современная зарубежная психология. 2018. Т. 7. № 1. С. 71–77.
Yudina T., Алехина С. В.

The article is devoted to analysis of theoretical models to justify the methodology of empirical study of relationships in inclusive classes. It discusses the model of social participation proposed by researchers from the Netherlands and designed after the analysis of a number of scientific publications. The article presents a review of empirical studies of foreign scholars systematized in accordance with the model of social participation. This model is mapped to the structure of the social situation of development proposed by O.A. Karabanova. In authors’ opinion, the concept and the structure of the social situation of development allows to conduct an in-depth analysis of relationships in inclusive classrooms, assessing the psychological and pedagogical conditions and describing the developmentnal effects of inclusive process in education.

Research target: Psychology
Language: Russian
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Keywords: инклюзивное образованиесоциальная ситуация развитияобразовательные отношениясоциальное участиеинклюзияособые образовательные потребностиобщение со сверстниками
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