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  • «Уходя — уходи»: кто остается с Россией и как перераспределяется импорт?
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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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?

«Уходя — уходи»: кто остается с Россией и как перераспределяется импорт?

Вопросы экономики. 2023. № 12. С. 48–65.
Gnidchenko A., Mikheeva O. M., Salnikov V.

We examine the division of countries according to their political attitude towards Russia after the launch of a special military operation in Ukraine and the introduction of large-scale sanctions, and illustrate the importance of sanctions and political attitude to Russia for countries’ exports there with the available statistical data. The countries are clustered by their participation in sanctions pressure on Russia and voting on six UN resolutions condemning Russia’s actions. Except for hostile countries, we distinguish three groups of friendly countries — “cautious” (voting for UN resolutions), “wavering” (non-systematic voting), and “sympathetic” (voting against resolutions or ignoring them). According to mirror data on foreign trade with Russia, most countries which increased their exports to Russia in 2022 belong to the “sympathizers” group. Relying on the evidence from the EU and China, we demonstrate that imports of sanctioned goods are redistributed more actively than other imports. We list major products which imports were redistributed successfully or unsuccessfully.

Language: Russian
DOI
Text on another site
Keywords: санкциикластеризацияclusterizationsanctionsfriendly countriesдружественные страны
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