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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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COMPARATIVE ANALYSIS OF THE YIELD MAP OBTAINED FROM THE JOHN DEERE COMBINE AND THE ASF-INDEX DISTRIBUTION MAP

International Multidisciplinary Scientific GeoConference. 2020. Vol. 20. No. 2.2. P. 191–198.
Ruhovich A., Koroleva P., Dolinina E.

Two independent sources of information on intra-field heterogeneity of crop productivity were investigated. Field verification of both sources of information was carried out. The first source is a map of stable intra-field heterogeneity of soil fertility. This source is obtained by analyzing large satellite data for decades (1984 - 2020). The second source is a crop yield map for a particular year. The map was obtained according to the results of yield measurements from the sensors of the John Deere combine. A map of stable intra-field heterogeneity of soil fertility was created in 2017. The corn yield map was obtained in 2018. Field measurements of yield were carried out in 2017 and 2018. Field measurements showed that in zones of reduced fertility of stable intrafield heterogeneity map the yield of winter wheat and corn is lower than in zones of increased fertility. Thus, the information content of the map is confirmed. Field measurements of the yield of corn confirmed the correct calibration of the sensors of the combine. The map of stable intra-field heterogeneity of soil fertility and the map of corn productivity were intersected. The resulting graphs showed that the average yield according to the combine data has a high correlation with the fertility zones. The distribution of yields within the zones is almost normal distribution

Research target: Agricultural Sciences
Language: English
DOI
Keywords: big dataremote sensing dataprecision farmingsoil fertilityyield maps
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