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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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Внутрирегиональная миграция населения в России: пригороды выигрывают у столиц

Известия РАН. Серия географическая. 2021. Т. 85. № 1. С. 24–38.
Karachurina L. B., Mkrtchyan N. V.

Intraregional migration in modern Russia plays a crucial role in the implementation of people’s life plans. It
also contributes to spatial configuration changes. Every second registered resettlement within Russia occurs
within the borders of the regions. However, nothing is known about intraregional migration, except for its total
volume and role in changing the population of individual municipalities. The statistical information collected
by the authors on long-term intraregional migration for 1265 municipalities in 39 regions of Russia (51.4% of the country’s population) for 2017 made it possible to generate arrival, departure, and net migration matrices for each region. This made it possible to analyze the intraregional migration flows and intraregional redistribution of the population between regional centers, suburban municipalities, and regional periphery.
The analysis revealed that the population movement between regional centers, their suburbs and other municipalities in all intraregional migration approximately corresponds to their share in the population. All types of municipalities are equally involved in migration. There is an intensive migration exchange between regional centers and their suburbs. Regional centers are not only inferior to the suburbs in terms of the intensity of migration growth: 80% of regional centers lose their population in the migration exchange with their own suburbs. In general, the redistribution of the population within the framework of intraregional migration in almost all the studied regions contributes to an increase in the concentration of the population in the agglomeration zone formed by regional centers and their suburbs. In some regions, there is another “zone” of population concentration, as a rule, much smaller: the sub-centers represented by large cities located at a considerable distance from regional centers. They form their own zones of positive net migration with the nearest peripheral municipalities. In most cases, this migration allows sub-centers to only compensate for the migration outflow to other regions of the country or to their own regional centers.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Keywords: муниципальные образованияperipheryпериферияmunicipalitiesрегиональные центрыпригородысельско-городская миграцияsuburbsmetropolitan areasregional centersпристоличные территорииrural-urban migrationdirections of migration
Publication based on the results of:
Demographic and migration potentials of Russia in the 21st century (2021)
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