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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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African Entrepreneurs in Moscow: How They Did It Their Way

Urban Anthropology and Studies of Cultural Systems and World Economic Development. 2014. Vol. 43. No. 1-3. P. 205–254.
Bondarenko D. M., Demintseva E., Usacheva V. V., Zelenova D.

The article will discuss the variety of African migrants’ pathways toward social recognition and success in a Russian megacity by describing and analyzing the experiences of the Ethiopian owners of two establishments in Moscow: a lavish downtown restaurant, and a small café on an international university campus on the city’s outskirts. These cases display various points of both similarity and divergence, but are here regarded as examples of successful African entrepreneurship, each in its own way, contrasting with the usual representation of Africans as passive victims in the receiving society. As background for the analysis we provide information on the changes that have occurred since the breakup of the USSR, and which have impacted on the migrants’ social composition, on their strategies of integration, and on the modes P. 206. of their acceptance by the new sociocultural milieu. The research is based mainly on in-depth and semi-structured interviews with the two establishment owners, their employees, and guests conducted in May to June 2012. It reveals the factors that have promoted their successful establishment in the Russian capital as well as their own perceptions of the position of migrants within it.

Research target: Sociology (including Demography and Anthropology
Priority areas: humanitarian
Language: English
Full text
Keywords: МоскваMoscowафриканская диаспораадаптация мигрантовAfrican diasporamigrant-related adaptation problemsAfricans in Russiaафриканцы в России
Publication based on the results of:
­­­Cultural politics in the modern society (2014)
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