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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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Здравоохранение в 2009 г.

Гл. 4.3.2. С. 414–422.
Popovich L., Shishkin S.
Language: Russian
Full text
Keywords: статистические данныепродолжительность жизнигосударственная политика в сфере здравоохраненияснижение смертностирост рождаемости

In book

Российская экономика в 2009 году. Тенденции и перспективы
Вып. 31. , М.: Институт экономики переходного периода, 2010.
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The article considers life expectancy of the population of the regions of Russian North in 1993–2023. Despite the large contribution of the northern territories to the economy, some of them remain among the most lagging in mortality rates. Using the Russian Fertility and Mortality database, the authors calculated the losses in life expectancy in the ...
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Population process in dynamic development ongoing in Murmansk Region (located beyond the Arctic Circle on the territory of the European part of the Russian Federation Arctic zone in the period 2001-2015 has been characterized in the paper. Major features of natural population movement (fertility, mortality) including labor potential have been esteemed. A major loss of ...
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Заключение
Vishnevsky A., Zakharov S. V., В кн.: Население России 2015: двадцать третий ежегодный демографический доклад.: М.: Издательский дом НИУ ВШЭ, 2017. С. 333–357.
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Added: October 30, 2018
Связь между уровнями смертности и экономического развития в России и ее регионах
Andreev E. M., Shkolnikov V., Демографическое обозрение 2018 Т. 5 № 1 С. 6–24
Usually in rich countries life expectancy is higher than in poor countries. We checked whether this is true for the regions of Russia. The object of the study was data for 2010, which is the year of the last population census. We used life expectancy at birth as longevity measure and the value of gross domestic ...
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Health Care
Shishkin S., , in: Russia: Strategy, Policy and Administration.: L.: Palgrave Macmillan, 2018. Ch. 21 P. 229–239.
Russian health care policy turns on a number of significant tensions between three vectors – all evolving at different speeds: first, the extent and nature of substantive state health care guarantees for Russian citizens; second, the extent or size of state versus non-state funding of health care; and, third, organisational challenges in the national health ...
Added: November 30, 2017
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