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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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Межрегиональное неравенство в России и постсоветских странах в XXI веке

Региональные исследования. 2024. № 1(83). С. 4–18.
Zubarevich N., Сафронов С. Г.

The article analyzes the level and dynamics of interregional inequality in Russia, Kazakhstan, Uzbekistan, Belarus and some European countries (in terms of NUTS-2 territorial units) according to available data from official statistics of the CIS countries (1995–2022) and Eurostat (2011–2022). The Gini coefficient, weighted by population and normalized depending on the number of territorial units, was used as the main evaluation parameter. The lower level and stability of interregional inequality in the countries of the European Union and Belarus are associated with a high and more uniform development of the territory and a more stable economic structure. In large post-Soviet countries, the dynamics of interregional inequality are multidirectional; there is no stable trend, which is associated with resource and capital rent in a limited range of regions. In Russia and Uzbekistan since the late 2010s. inequality grew, decreased in Kazakhstan, and was small and stable in Belarus due to the peculiarities of the economic structure and institutional factors of development. Assessments of the influence of the macroeconomic factor on interregional inequality did not provide obvious confirmation of its impact. The impact of the state’s redistribution policy can only be assessed for Russia: it was more noticeable during the crises of 2009 and 2020. Within Russian federal districts, differentiation is lower. High inequality is typical for the extremely heterogeneous Ural Federal District and the Central Federal District, where it has been declining in recent years. In the Far Eastern Federal District, regional differentiation grew, and its gradual increase also occurred in the regions of the Northwestern Federal District.

Research target: Social and Economic Geography (including Urban and Transportation Studies)
Language: Russian
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Keywords: инвестицииБелоруссиядоходы населенияКазахстанRussiaваловой региональный продуктУзбекистанKazakhstanBelarusуровень бедностиUzbekistan investmentsGRPpoverty levelМежрегиональное неравенствоinterregional inequality Россияpersonal money income
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