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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.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Conceptual Research Model of Metropolis Residents’ Pro-Environmental Behavior

Emerging Science Journal. 2025. Vol. 9. No. 3. P. 1285–1307.
Lukina A., Mkhitaryan S., Sidorchuk R. R., Petr Nevostruev, Lukina E.

The study develops a conceptual research model of demonstration of pro-environmental behavior (PEB) patterns of individuals living in the metropolis. This study aims to determine the impact of several factors (education, age, income, labor status, and individual’s social surroundings) on the PEB of metropolis residents and identify triggers that influence the activation of PEB. An online survey was conducted using the CAWI method on a quota sample of 1,502 respondents living in the metropolis of Moscow. The research hypotheses were tested using descriptive statistics, variance analysis and appropriate visualization tools. The study analyzed 28 patterns of PEB. It was found that people with higher education tend to exhibit a wide range of pro-environmental behavior types. Young people will be more active in a variety of PEB patterns, with the youngest (18–19-year-old group) showing the largest number of patterns 17 out of 28. People with above-average and average income are more actively engaged in PEB. Individual pro-environmental behavior depends most strongly on the pro-environmental behavior of individual’s social surroundings. The novelty of this study lies in identifying differences in the manifestation of metropolis residents’ pro-environmental behavior related to the purchase of goods, disposal of consumer waste, and their transport behavior.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: проэкологическое поведениеonline surveypro-environmental behaviorPEB PatternsBehavior of IndividualsMetropolis Residents’ BehaviorPEBпаттерны проэкологического поведенияонлайн-опросповедение индивидовповедение жителей мегаполисаПЭП
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