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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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Альтернативный подход к исследованию туристской привлекательности российских регионов

Проблемы рыночной экономики. 2023. № 2. С. 67–94.
Lebedeva S.

The Russian Federation finds itself in unprecedented sanctions situation, which contributes to changing the patterns of consumer behavior in different spheres, including the tourism industry. Russian tourists are forced to «switch» to domestic destinations, and federal, regional and local authorities are interested in increasing the attractiveness of Russian regions. Many scientists attempt to assess the attractiveness of world tourist destinations, including Russia, as well as Russian regions. Today, the National Tourist Rating of Russian regions is built on the basis of the methodology worked out by the magazine «Rest in Russia» in conjunction with the Center for Information Communications «Rating». However, this methodology also has disadvantages. Firstly, the methodology does not take into account the transport accessibility of the Russian regions, as well as natural and environmental component. Moreover, the methodology is not fully objective. National Tourist Rating is built with the use of expert assessment. Finally, for the past eight years, the methodology has been undergoing changes every year (indicators were added and excluded). This article proposes an alternative method for calculating the index of tourist attractiveness of Russian regions based on an integral assessment of five generalizing parameters of the tourism industry. As a result, the author proposed a rating of the tourist attractiveness of the regions, calculated according to the data of 2021.

Research target: Economics and Management
Language: Russian
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Keywords: интегральный показательрегионы Россииintegral indicator Russian regionstourist attractionNational tourist ratingalternative calculation methodНациональный туристический рейтингтуристская привлекательностьальтернативная методика расчета
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