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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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Социально-экономическое положение регионов и демографические итоги 2019 г. (по результатам регулярного мониторинга ИНСАП РАНХиГС)

Экономическое развитие России. 2020. № 4. С. 73–87.
Н.В. Зубаревич, Макаренцева А. О., Мкртчян Н. В.

Weak growth in 2019 prevented most regional indicators from returning to pre-crisis levels. Income started to grow in 59 regions, but the crisis recession was not overcome. Growth in regional budget revenues slowed down despite significant growth in transfers. Expenditures grew one and a half times faster than revenues, which resulted in budget deficits in 36 subjects of the Russian Federation. Regional differentiation of per capita social expenditures was somewhat mitigated; social expenditures were a priority for the vast majority of regions.

For the second year in a row Russian population decline. It has happened due to both a significant reduction in the number of births and an insufficient reduction in mortality. The natural decline of Russia’s population in 2019 was 316,200 people, with a total decline of the population by 35,600 people. The mortality rate fell by 1.6 per cent (to 12.3 per 1,000 population) compared to the previous year. The total fertility rate in 2019 was 1.51 children per woman of reproductive age – which was 4.4% lower than in 2018 (1,58).

The migratory growth of the Russian population in 2019 increased to 285.6 thousand people. However, it did not compensate the increased natural loss of population. The increase in migration growth has affected the migration balance of many regions of the country, including Siberia and the Far East. However, main centers of attraction remained the same.

In 2019 there were noticeably more foreigners temporarily staying in Russia – especially tourists, employees and those who arrived for private purposes. The number of labor migrants from the CIS countries is increasing by 3–5% from year to year, except for Ukraine and Moldova citizens. The share of migrants legalized on the labor market changes a little and fluctuates around 70%.

Research target: Social Sciences
Priority areas: economics
Language: Russian
Text on another site
Keywords: смертностьдоходы населениямиграциярегиональное развитиеmigrationmortalitybirth rateregional developmentкоэффициент рождаемостиpopulationbudgetsбюджетыmoney incomes
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