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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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Сравнительный анализ программ профессиональной подготовки специалистов, работающих с девиантными подростками

Педагогика и психология образования. 2025. № 1. С. 149–178.
Mironova O. I., Голенков А. А.

The article discusses modern approaches to the professional training of specialists working with adolescents demonstrating deviant behavior. Special attention is paid to the analysis of existing educational programs and initiatives to improve the skills of specialists working with deviant adolescents. The article highlights the main problems of training specialists, including the reduction of the practical component of programs, which diminishes their willingness to actually work with deviant adolescents. A comprehensive training model is proposed, focused on increasing the share of practical classes, the introduction of internships, and the use of modern technologies to increase the effectiveness of preventive and correctional work with adolescents.

Research target: Psychology
Language: Russian
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Keywords: образовательные программыповышение квалификациипрофессиональные компетенциидевиантное поведениеprofessional developmentdeviant behaviordeviant adolescents educational programs professional competenciesvocational training at universityодростки с девиантным поведениемпрофессиональная подготовка в вузе
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