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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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Эластичность спроса на электроэнергию: учет тарифов по времени использования

Журнал Новой экономической ассоциации. 2026. № 2(71). С. 59–78.
Tomskiy S., Котлярова С. А., Губарьков Г. А.

This article is devoted to the study of the elasticity of demand for electricity in Russia taking into account the time-of-use tariff. The analysis, based on panel data for 65 regions for the period 2016–2021, allowed us to estimate the price elasticity of demand in different time zones. The main results show that daytime and mid-peak consumption demonstrate significant negative elasticity, while night-time and peak consumption showed an insignificant response to price changes. The obtained results do not allow us to conclude that tariff differentiation by time zones is highly effective, except for daytime and mid-peak consumption. Similar findings have previously been observed in China and other countries, which is associated with insignificant differences between tariffs. Increased tariff differentiation, narrower time fragmentation, as well as more complex tariff systems specifically targeted at periods of maximum demand, such as critical demand pricing or its modifications, can lead to more efficient load redistribution in the Russian energy system.

Research target: Economics and Management
Language: Russian
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Keywords: ценообразованиеэлектроэнергияtariffs for electric powerэластичность спроса Demand elasticityспрос на электроэнергиюэнерготарифыPricingelectricity consumption
Publication based on the results of:
Economic and mathematical analysis of markets, games, and decision-making (2025)
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