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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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Инновационные подходы к решению технико-экономических проблем. Сборник трудов международной конференции. 2020

Вып. 7. Национальный исследовательский университет "Московский институт электронной техники", 2020.
Tsymbal A., Бикметов А. Р.

The paper shows the uniformity or coincidence of the average number of small innovative enterprises in universities that have business accelerators in their structure and universities that do not have such business accelerators. Homogeneity was established using the student's statistical criterion based on data from 290 universities in the Russian Federation.

Research target: Physics Economics and Management
Language: Russian
Sample Chapter
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Text on another site
Keywords: малое инновационное предприятиеinnovative Universityинновационная деятельность вузованализ научной деятельности вузаBusiness Accelerators innovative startupsинновационные стартапыSmall innovative enterprise
Инновационные подходы к решению технико-экономических проблем. Сборник трудов международной конференции. 2020
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Breaking the glass ceiling: female board representation, CSR and firm performance of Russian firms
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Abstract. Over the years of market reforms, China has moved from an autarkic economy to the position of the world’s largest trading power, becoming a global leader both in export volume and in total foreign trade turnover. For a long time, China’s export success was commonly explained by her use of comparative advantages in labor-intensive ...
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Configuration-dependent edge and corner superconductivity in 𝑠-wave kagome superconductors
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Элементы теории топологических изоляторов
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