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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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Система научно-технологического прогнозирования и стратегического планирования в лесном комплексе Российской Федерации

Труды Санкт-Петербургского научно-исследовательского института лесного хозяйства. 2020. № 1. С. 54–73.
Kuzminov I., Lobanova P., Loginova I., Bakhtin P. D.

This paper contains the analysis of problems that complicate the effective strategic development of the forest complex of the Russian Federation, including deviations in forest management of the Russian Federation from the best world practices. Based on the data from a comparative analysis of Russian and international strategic documents, it has been found that, unlike the international, the Russian strategic planning agenda in the industry is more short-term in nature and mainly focuses on targeted tools to overcome current, forest problems often of a private nature. This conclusion has been made on the basis of the analysis of the Strategy for the development of the Russian forest complex till 2020 and the Strategy for the development of the Russian forest complex till 2030. Based on a comprehensive analysis of the management situation in Based on a comprehensive analysis of the management situation in the industry, the authors conclude that one of the major problems of the forest complex as an object of strategic planning is the lack of a request for long-term sustainable development, the adaptive transformation adoption based on the current response, leading to a narrowed reproduction of production and technological potential. As a solution to this problem, the authors propose the introduction of a system of monitoring and forecasting the scientific and technological development of the industry in the state administration of forestry. At the same time, the authors are of the opinion that the use of big data analysis in the framework of monitoring and forecasting will improve the quality of strategic planning. The results presented in this paper are important for forecasting the parameters of the scientific and technological development of the forest complex at the global and national levels and can be used as a practical tool for substantiating comprehensive planning strategies in the forest complex in the long run.

Research target: Agriculture, Forestry, and Fisheries
Priority areas: economics management IT and mathematics
Language: Russian
DOI
Text on another site
Keywords: стратегическое планированиеsustainable forest managementлесной комплексscience and technology forecastingforest complexstrategic planningустойчивое лесоуправлениенаучно-технологическое прогнозирование
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