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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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?

Формирование и оценка индекса благосостояния населения в регионах России

С. 167–168.
Rutskiy V., Фукаляк А. А.

The formation and measurement of integral indicators of the well-being of the population remain insufficiently studied topics in the economic literature. This research topic is especially relevant for Russian regions with a high level of differentiation in the level of economic development and the well-being of the population. The authors propose an original method for measuring the integral index of the well-being of the population in the regional economy, taking into account the subjective factors of the well-being of the population and the objective factors associated with its condition, economic activity and relevant state policy. The methodology has been tested on the example of Russian regions. It was found that economic activity in the regions is more significant for the integral well-being of thepopulation than the quality of human capital

Language: Russian
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Keywords: экономическое развитиеeconomic developmentрегиональная экономикаregional economyблагосостояние населенияИндекс благосостоянияwell-being of the populationwell-being indexwell-being factorsфакторы благосостояния

In book

Институциональная трансформация экономики: человек и социум (ИТЭ-ЧС 2021) : материалы VII Международной научной конференции, Томск, 21-23 октября 2021 г.. Томск, 2021
Институциональная трансформация экономики: человек и социум (ИТЭ-ЧС 2021) : материалы VII Международной научной конференции, Томск, 21-23 октября 2021 г.. Томск, 2021
Издательство Томского государственного университета, 2021.
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