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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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Epidemic Engines: A Study of the Factors Driving HIV Infection Spread and Mortality in the Regions of the Russian Federation

Population and Economics. 2025. Vol. 9. No. 1. P. 75–96.
Anton A. Nikolaev

This paper examines the socio-economic determinants of the HIV epidemic in Russian regions, focusing on morbidity and mortality rates. It addresses the following questions: What factors contribute to the development of the HIV epidemic in Russia’s regions? Which of these factors have the greatest impact on HIV-related morbidity and mortality? The study employs the principal component analysis method to reduce dimensionality and identify grouped factors. The analysis is based on extended data from HIV Infection Monitoring Form No. 61 for the years 2012–2019. As a result, ten socio-economic determinants were identified, and their statistical relationship with HIV morbidity and mortality was assessed. A significant association was found between morbidity and mortality rates and factors such as population mobility and access to antiretroviral therapy (ART), similar to patterns observed in other countries experiencing an active HIV epidemic.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: смертностьВРПфакторный анализmortalityВИЧfactor analysisзаболеваемостьmorbidityэпидемияeconomic effectsepidemicGRP HIVэкономические эффектыsocial policy assessment
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