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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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Конкуренция между маркетплейсами в России: роль модели взаимодействия с продавцами, покупателями и владельцами пунктов выдачи заказов

Финансы и бизнес. 2024. Т. 20. № 4. С. 135–158.
Осенева П. С., Yusupova G. F.

This study examines the competition among leading digital transaction platforms in Russia: Ozon, Wildberries, AliExpress, SberMegaMarket, and Yandex.Market. The purpose of this article is to compare the interaction models of marketplaces with product sellers, buyers, and pick-up points in terms of price and non-price policies, as well as the policies for the location of pick-up points. The results indicate that despite the unique competitive advantages of each platform, none of them dominate the market. To maintain a competitive edge, continuous innovation in service off erings and fl exible interaction models are necessary.

Research target: Economics and Management
Language: Russian
Text on another site
Keywords: конкуренциямодели взаимодействияэлектронная коммерция e-commercedigital platformsмаркетплейсы competition цифровые платформыmarketplacesinteraction modelstransactional platformspick-up pointsпункты выдачитрансляционные платформы
Publication based on the results of:
­­­Competitive Effects of Application Regimes of Digital Data and Advertising in the Platform Markets (2024)
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