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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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Household Technology and the Sustainability of Consumer Behavior in Moscow

Sustainability. 2015. Vol. 8. No. 1. P. 32–37.
Chernovich E., Miles I. D., Polyakova V.

Consumers use appliances, and their concomitant technology, in their domestic routines. What role do these appliances play in shaping sustainable behavior on the part of the consumer? Scientists in this field believe that household devices have certain scenarios of use, which they refer to as “scripts.” Is change in the scripts associated with such devices the key to more sustainable consumption? This case study examined how consumers interpret and respond to the scripts of the devices they use in their everyday lives. Pro-environmentalist consumers were compared with those who have little concern about environmental problems. In-depth interviews found that the scripts embedded in domestic appliances were seen by the two groups in different ways, and the groups varied in how much influence the scripts had on consumer behavior. Consumers with few environmental concerns were found to be more likely to change to more pro-environmental behavior patterns following the technological scripts. The study also considered the generalizability of these results and their broader implications for practical action.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
Full text
DOI
Text on another site
Keywords: устойчивое развитиеsustainabilityнаселение и окружающая средаenvironmental behaviourtechnological scriptshousehold technologydomestic routinesдомашняя техника
Publication based on the results of:
The Monitoring Survey of Innovative Behavior of the Population: Public Involvement in Innovative Practices (2015)
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