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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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Страновые особенности формирования национальной инновационной системы

Вестник Российского университета дружбы народов. Серия: Государственное и муниципальное управление . 2022. Т. 9. С. 401–417.
Mukhitdinov R.

The article examines the factors and features of the formation of the national innovation system (NIS). The subject of the study is the specifics of the national innovation system in different countries. The absence of a universal effective NIS model that is universal for all countries indicates the significance of this study. The result of the study is to identify the features of the formation of NIS for a number of countries (clusters), and recommendations for building an effective NIS in Russia. The article applies the methods of correlation and regression analysis of innovative indicators for countries for which data are available in the public domain were used. Evaluation and verification of the adequacy of the applied model is determined by numerical analysis of the data obtained, as well as by economic interpretation. Correlation and regression analysis are performed separately for countries from different clusters in order to identify features between them. The study revealed the links between the type of government, state involvement and high-tech production (innovation).

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: кластерный анализлинейная регрессионная модельмежстрановое исследованиеНациональная инновационная система
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