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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Влияние питания на продолжительность жизни в российских регионах

Вопросы статистики. 2023. Т. 30. № 5. С. 53–66.
Zasimova L. S., Chetaeva K.

The paper studies the impact of nutrition on the life expectancy (LE) of men, as well as women in Russian regions. The empirical analysis is based on data from the Federal State Statistics Service. The panel data includes 1694 observations (77 regions of the Russian Federation in 2000–2021). The authors suggest a summary indicator of regional nutrition patterns based on the nutrition norms developed for 10 food groups by the Ministry of Health of the Russian Federation. The study was run using fixed effect models while controlling for indicators of the socio-economic development of regions.

Econometric analysis shows that LE of men and LE of women increases with the decrease in the number of deviations from the regional nutrition norms. Alcohol consumption also reduces the LE of men and women, but the effect on men's life expectancy is more pronounced. As expected, the regional GRP per capita increases life expectancy, while inequality in income distribution leads to the LE decrease. The most important factor that positively affects LE of men, as well as LE of women is the proportion of urban citizens. In addition, LE is also affected by regional healthcare design: the number of doctors per 1000 people increases the LE of women; the number of hospital beds per 10 thousand people is associated with both the LE of men and LE of women. COVID-19 significantly contributed to the decrease in LE of men and especially of women. Its negative impact was already noticeable in 2020 but became particularly pronounced in 2021.

The study draws attention to a significant regional variation in the LE of men and LE of women related, among other things, to deviations from the food consumption patterns. The findings may be of interest to regional authorities responsible for developing healthy nutrition policies in Russian regions and increasing the LE of men and women.

Research target: Economics and Management
Language: Russian
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Keywords: здравоохранениеалкогольздоровьеhealthlife expectancyздоровое питаниеожидаемая продолжительность жизниhealthcarealcoholHealthy eatingfood groupsпродуктовые группы
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