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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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Прогнозирование добычи нефти и газового конденсата в вычислимой модели денежного обращения российской экономики

Экономика и математические методы. 2017. Т. 53. № 2. С. 50–65.
Afanasyev A. A.

The author proposes a modification of a computable simulation model for money circulation in the Russian economy developed in the Laboratory of social simulation CEMI together with academician V.L. Makarov and researcher A.A. Losev due to disaggregation of a block “Oil and gas industry” agent on the two modified model block – a block “Exploration of oil and gas” and a block “Oil and gas production”. In this article we will explore a model related to the exploration and production of oil and gas condensate leaving development of similar models for natural and associated gas for the next study. For modeling of crude oil and gas condensate production, we decide to divide all the 144 Russian oil fields and oil production centers into five groups according to the level of oil production in 2014. On the basis of the model’s two sub-blocks of exploration and production of oil and gas condensate, designed to computable monetary economy of Russia, we forecast volumes of Russian oil and gas condensate production up to 2035 for five aggregated centers of oil production, the federal districts and Russia as a whole under the inertial scenario of economic development in 2014. Given values of internal oil prices, the rate of tax of oil extraction, price and rental rates for new fixed assets, other fixed costs in the production of oil, given at the 2014 level the calculations show a decrease in volumes of oil and gas condensate production in Russia by 5% for 2035.

Research target: Economics and Management Mathematics
Priority areas: economics IT and mathematics
Language: Russian
Text on another site
Keywords: российская экономикаRussian economyforecastingпрогнозированиегеологоразведкаcrude oil and gas condensate productioncomputable simulation model for money circulationoil fieldsexplorationдобыча нефти и газового конденсатавычислимая модель денежного обращениянефтяные месторождения
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