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Subject
News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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.

 

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Малые и средние предприятия в сельском хозяйстве: анализ эффективности региональной господдержки

АПК: Экономика, управление. 2026. № 2. С. 15–25.
Yanbykh R., Мироненкова К. А.

The study aims to address an important scientific and practical challenge: ensuring equal access to state support for small and medium-sized agricultural enterprises (SMEs) and improving its effectiveness. In recent years, the structure of state support has undergone significant changes. While the federal budget has increased funding for grant support for "Supporting Beginning Farmers and Their Cooperatives" and "Developing Family Livestock Farms Based on Farms," the amount of unconditional support for loan subsidies has decreased. A significant impact of regional affiliation on the profitability of small and medium-sized agricultural enterprises has been established, with the most favorable conditions observed in the Southern and Central Federal Districts. Econometric modeling has confirmed a positive relationship between the share of small and medium-sized enterprises receiving government support and indicators of profitability, labor productivity, and investment activity. At the same time, the most effective support programs are subsidies for technical and technological modernization and grants for the development of farms. 

Research target: Economics and Management Agriculture, Forestry, and Fisheries
Language: Russian
Full text
DOI
Text on another site
Keywords: малый и средний бизнессельское хозяйствогосподдержкаgovernment's support for small and medium enterprises Agriculturestate subsidiesаграрные субсидии
Publication based on the results of:
The Impact of External Shocks on the Productivity and Social Sustainability of the Russian Economy (2025)
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