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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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Mobilising the Periphery: Brazil’s My House My Life Programme and the Homeless Workers’ Movement

Bulletin of Latin American Research. 2021. Vol. 40. No. 1. P. 84–99.
Albert V. A.

Brazil's Movimento de Trabalhadores Sem Teto (MTST, Homeless Workers' Movement) has grown dramatically in recent years. This growth was partly provided for by the use of a large government housing programme, Minha Casa Minha Vida (MCMV, My House My Life), which allowed the MTST to construct housing for its members and swell its ranks with thousands of new members. Yet some have argued that the MCMV programme used by the MTST may compromise the autonomy of civil society organisations. This article, by contrast, argues that while the MCMV programme encouraged bureaucratic practices, it also helped to promote the cultural politics of the MTST.

Research target: Other social sciences Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology state and public administration
Language: English
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DOI
Text on another site
Keywords: housing policysocial movementspolitical sociologyhousing disputesBrazilian Protests
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