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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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Границы, соседи и соседство в жизни малых городов на российских границах

Географический вестник. 2020. № 2. С. 75–90.
Zotova M., Гриценко А. А.

Neighborhood and border interactions have a significant impact on localities situated on the state borders, turning them into contact zones where the spaces of two neighboring states face each other at the grass-roots level, creating various challenges for people and their well-being. This article analyzes and compares the social functions of neighborhood and borders through the example of several small peripheral towns located on different sections of the Russian border: Armyansk and Dzhankoy – on the new contested border with Ukraine; Troitsk – on the integration border with Kazakhstan; Zabaikalsk – on the old border with China. Based on interviews with local experts, field observations and focus groups with the most representative members of the local communities, we studied the attitude of residents of the four border towns to their neighbors and neighboring states, local development, border, its regime, contact and barrier functions, and their impact on everyday life. The study showed that the local communities distinguish between the attitude to the neighboring state as to ‘a state and government’ and as to ‘a country and people’. Concerning the first category, people expressed mostly negative emotions, while feelings for the second category were mostly positive, which is due to regular interactions and personal experience. We also found differences in people's perceptions of the relationship and significance of the contact and barrier functions of the Russian border, reflecting differences in the neighborhood and relations between Russia and neighboring countries. In conclusion, our results suggest that the subjective feelings of people make the considered border situations similar since the problems created by the border are perceived by local residents as secondary against the increasing peripherization.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology
Priority areas: sociology humanitarian
Language: Russian
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Keywords: малые городавосприятиеповседневные практикипограничьесоседство
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