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News
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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Моделирование региональной эколого-экономической системы с механизмом государственного регулирования на примере Республики Армения

Экономическая наука современной России. 2016. Т. 72. № 1. С. 109–119.
Akopov A. S., Beklaryan A., Бекларян Л. А., Сагателян А. К.

Actual challenges of the ecological-economic system for the case study of the Republic of Armenia (RA) are considered in the paper. The simulation of the ecological-economic system based on methods of the agent-based modelling and the system-dynamics, which allowed designing the Ecological Map of RA, was created.  The important purpose of the suggested approach is to seek scenarios of a modernization of enterprises, which are main sources of the air pollution with simultaneous determining the effective strategy of the government regulation. The bi-criteria optimization problem of parameters of the ecological-economic system was formulated and solved for the case study of RA.

Research target: Economics and Management Mathematics Computer Science
Priority areas: economics sociology IT and mathematics business informatics mathematics
Language: Russian
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Keywords: имитационное моделированиемногокритериальная оптимизация system dynamics системная динамикаecological-economic systemэколого-экономическая системаагентное моделированиеmulti-objective optimisationsimulation modellingagent based modeling
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