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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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Analysis of the EEG Rhythms During Viewing an Emotional Video as a Biomarker of Psycho-Emotional State

Sixth International Conference Neurotechnologies and Neurointerfaces (CNN), Kaliningrad, Russian Federation, IEEE Xplore. 2024. P. 22–24.
Blagoveshchensky E., Луков М. Ю., Барцева К., Никишина У., Фомичева Д., Shestakova A., Pomelova E., Koriakina M.

To test a person's psycho-emotional state, various methods are used, one of which is a reaction to an emotional video sequence. Such a reaction can make it possible to assess the degree of a person's involvement in certain emotional events. However, there are few methods to assess psycho-emotional status objectively. One of the sensitive markers is the analysis of a subject's electroencephalogram (EEG), requiring appropriate videos and EEG analyses. Here, a unique video sequence was chosen that evokes positive emotions in the first part and empathy/sadness in the final part. Therefore, evaluating the transition dynamics from one emotion to another is possible. The analysis showed that such a transition is reliably reflected in the change in the amplitude of rhythms in the beta and gamma ranges of the EEG, as well as their topography. The proposed approach may be unique for assessing a person's psycho-emotional state dynamics.

Research target: Psychology
Language: English
DOI
Keywords: emotionspsychological testing EEGpsycho-emotional state
Publication based on the results of:
Разработка аппаратно-программного комплекса для тестирования и внедрения психологических методик контроля эмоционального статуса человека (2025)
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