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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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Соотношение сложности динамики сердечного ритма и системных характеристик поведения

Психологический журнал. 2018. Т. 39. № 5. С. 46–58.
Demidovskij A., Бахчина А. В., Александров Ю. И.

It is the important issue in system psychophysiology to describe the processes of orchestration and development of functional systems. Within the framework of the issue, heart rate variability dynamics was studied in behaviors formed at different stages of the ontogeny (earlier and later). Participants (n = 35 (5 female), age from 23 to 37 (M = 27.78; Me = 28)) had the professional education in fields of physics or mathematics. They had to perform the task of filling in gaps at sentences. There were two groups of sentences: 1) sentences consisted words, which age of acquisition was the period of learning at a university, from professional mathematicians vocabulary; 2) sentences consisted common-used words, which are used by children of pre-school and school ages. Heart rate complexity was measured with Sample Entropy. Comparison of two tasks has shown that heart rate complexity was less during the performance of the behavior formed on earlier stages of individual development (working with sentences with common-used words). In light of the system-evolutionary approach, the results can be explained through dissimilarities of sets of functional systems actualized in different behaviors. It is important to notice, system temporary dedifferentiation, which was induced by alcohol administration, decreased differences between heart rate complexities in two behaviors. It was concluded, heart rate complexity reflects system characteristics of performed behavior. 

Language: Russian
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Keywords: алкогольсложностьвариабельность сердечного ритмасистемная дифференциацияобратимая дедифференциация
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