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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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Влияние школьного климата на возникновение травли: отечественный и зарубежный опыт исследования

Вопросы образования. 2019. № 2. С. 78–97.
Novikova M., Rean A.

The phenomenon of school bullying is considered from the point of its connection with the domains of school climate. Main characteristics of school bullying are given, specifically its prevalence, age, gender and socio-economical correlates, as well as effectiveness of most common anti-bullying programmes. Social relationships, both student–teacher and peer-to-peer are discussed as a significant factor of victimisation.   Particularly data on teachers’ perspectives on bullying, their main preferred strategies of coping with respective situations in classroom and characteristics of relations with students which affect the risk of victimisation of the latter are in the main focus. The paper is analytically designed and based mostly on the findings presented in the past 10 years research, both Russian and foreign. 

Research target: Education Sociology (including Demography and Anthropology
Priority areas: humanitarian
Language: Russian
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DOI
Text on another site
Keywords: school climateвиктимизацияшкольная травляшкольный климатschool bullyingvictimisationteacher strategiesbullying preventionучительские стратегиипрофилактика травли
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