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  • ЗАВИСИМОСТЬ ПРОДОЛЖИТЕЛЬНОСТИ ЖИЗНИ ОТ УРОВНЯ ОБРАЗОВАНИЯ В РОССИИ
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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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ЗАВИСИМОСТЬ ПРОДОЛЖИТЕЛЬНОСТИ ЖИЗНИ ОТ УРОВНЯ ОБРАЗОВАНИЯ В РОССИИ

Вопросы статистики. 2017. № 8. С. 61–69.
Т.Л. Харькова, Никитина С. Ю., Е.М. Андреев

This article is devoted to the study of the differences in mortality rates between population groups with different educational levels in Russia after 1979. It also assesses the contribution of changes in the mortality rates within different educational groups and the educational structure of the population to changes in the life expectancy of the entire population. This work is based on state statistics covering the breakdown of the population and the deceased by levels of education. The distribution of the population by age, sex and levels of education was calculated on the basis of the censuses of 1979, 1989 and 2002, and the micro-censuses of 1994 and 2015. Similar data on the deceased for 1979 and 1989 are contained in tables of vital statistics provided by statistical offices as annual reports. Data for 1998 and 2015, was obtained by further development of anonymous micro-data on the number of deceased collected by the Rosstat. The study showed that the change in the educational structure of the population contributed most to the increase in life expectancy of both men and women at the ages of 30 to 69 in 1979 – 2015. Another positive contribution was made by the decrease in mortality in all age groups of the population with higher education, and at the age of 50 and older in groups with secondary education as well

Research target: Sociology (including Demography and Anthropology Mathematics
Priority areas: economics sociology
Language: Russian
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Keywords: смертностьlife expectancymortalityдемографическая статистикаожидаемая продолжительность жизниdemographic statisticsdifferences in mortality by educational groups
Publication based on the results of:
The long-term demographic development of Russia in the light of the 2015 Microcensus results (2017)
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