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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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Negative Mood Impairs Updating of Affective Information

NRU Higher School of Economics , 2020.
Mohammed A., Lyusin D.
Updating is an important executive function that is vital for the attainment of goals such as cognitive tasks, daily activities and the regulation of emotion. The ability to update affective content in working memory is said to be influenced by mood. However, little is known regarding influences of mood on the valence of the affective content. We hypothesized that first, negative mood would impair updating of affective information. Second, this impeding impact would be weaker for the updating of negative information due to mood congruence effect. Sixty-three Russian speaking participants were recruited for the experiment. Half of the participants were induced into negative mood by negative pictures; the other half were presented with neutral pictures. All participants performed the affective 2-back task before and after mood induction. The results showed that negative mood impaired the accuracy rates of updating. However, the mood congruence effect was not observed in the updating of positive and negative materials. We recommend that more experiments be conducted with varied affective stimuli and across different populations.
Research target: Psychology
Language: English
Full text
Keywords: обновлениеиндукция эмоцийmood inductionэмоциональная конгруэнтностьupdatingn-back tasknegative moodmood congruenceотрицательное настроение
Publication based on the results of:
The interaction between the bottom-up and top-down streams of information processing in cognitive task performance (2020)
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