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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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Brain Functional Connectivity in Mentally Healthy Individuals with Different Levels of Schizotypy

Human Physiology. 2022. Vol. 48. No. 5. P. 487–495.
Lebedeva I., Panikratova Y., Pechenkova E.

Schizotypy, a set of behavioral traits related to an enhanced risk for mental disorders, is an informative model for the investigation of early predisposition markers. We aimed to analyze correlations between the characteristics of functional brain organization and schizotypy in mentally healthy individuals. Mentally healthy participants (N = 80 in the main sample and N = 32 in the replication sample) underwent restingstate fMRI and Schizotypal Personality Questionnaire (SPQ-74). Correlations between functional connectivity (FC) within and between the brain neuronal networks and four factors of schizotypy were analyzed. Additionally, we tested the whole-brain FC of the right medial frontal cortex for correlations with schizotypy (the region of interest was chosen on the basis of multicenter study of schizotypy associations with brain anatomy). Statistically significant results were tested in the replication sample. The FC within the ventral attention/salience network correlated with negative schizotypy, whilst the FC within the default mode network was associated with disorganization schizotypy (the results did not survive the correction for multiple analyses). Lower FC between the right medial frontal cortex and a temporal-occipital region in the left hemisphere correlated with higher cognitive-perceptual schizotypy, which may reflect deviations in emotional and motivational mediation of visual perception. These results, however, were not replicated in the second sample. Further research in this direction should engage larger samples and take into account a wider spectrum of parameters (psychometric, neuropsychological, and neuroimaging).

Research target: Basic Medicine Psychology
Language: English
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Text on another site
Keywords: functional connectivityresting-state fMRIфункциональные связи мозгафМРТ покояschizotypySPQ-74шизотипия
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