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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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Современные модели профилактики и коррекции трудностей в обучении в работе школьных служб поддержки в зарубежных странах

Современная зарубежная психология. 2022. Т. 11. № 3. С. 17–26.
Исаев Е. И., Kosaretsky S., Koroleva Y.

The article describes the approaches to prevention and correction of learning difficulties used in the work of school support services abroad (USA, Australia, Portugal, Sweden, Finland, etc.). The general features of the implemented models are supposed to be: multilevel support system, multidisciplinary (interdisciplinary) teams, use of an individual development (education, support) plan, etc. The features of the roles of school level specialists (teacher, school psychologist, social worker, etc.) and their interaction in the process of organizing assistance to children are also taken into consideration. We paid attention to the specific features of the implementation of approaches, problems and limitations encountered in practice and discussed the perspective for the implementation of these approaches in Russian education.

Research target: Psychology Education
Language: Russian
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Keywords: междисциплинарный подходтрудности в обученииinterdisciplinary approachlearning difficultiesresponse to interventionmultidisciplinary teamevidence-based educational practiceмногопрофильная командареакция на вмешательство многоуровневая организация поддержки доказательная образовательная практика
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