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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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Contribution of attentional mechanisms to verbal and nonverbal communication in boys with ASD

European Child and Adolescent Psychiatry. 2026.
Minnigulova A., Dragoy O., Arutiunian V.

Communication deficits in Autism Spectrum Disorder (ASD) involve impairments in both verbal and nonverbal domains, potentially associated with altered brain network connectivity related to language, attention, and social cognition systems. This study investigated functional connectivity patterns among the Default Mode Network (DMN), Salience Network (SN), Dorsal Attention Network (DAN), and Language Network (LN) in male children with ASD using resting-state fMRI data and Principal Component Analysis (PCA) to define sample-specific regions of interest. The sample included 53 males with ASD and 27 typically developing controls aged 5 to 12 years. Group comparisons revealed underconnectivity between the SN and LN (p = 0.003, beta = -0.49; p = 0.04, beta = -0.38) and overconnectivity between the DMN and LN in the ASD group (p = 0.003, beta = 0.5; p = 0.02, beta = 0.4). Crucially, further analyses showed that impairments in verbal (p = 0.016, beta = -0.45; p = 0.02, beta = -0.46) and nonverbal (p = 0.03; beta = -0.42) communication in ASD were associated with reduced connectivity within the DAN and between the DAN and SN, rather than with the LN. These findings suggest that communication difficulties in ASD have a stronger attentional basis linked to disruptions in sustained and switching attention mechanisms, as opposed to isolated language network dysfunctions. Our results underscore the importance of considering the integrated functioning of attentional and social brain networks to better understand the neural substrates of communication challenges in ASD.

Research target: Psychology Clinical Medicine
Language: English
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Keywords: коммуникацияметод главных компонентcommunicationconnectivity principal component analysisAutism Spectrum Disorder расстройства аутистического спектрафункциональная связность
Publication based on the results of:
Neural foundations of language and its impairments: From basic research to clinical practice (2025)
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Litera
NOTA BENE, 2025.
he article is devoted to the description of a voice message in order to introduce a definition of this communicative phenomenon. Despite the contradictory nature of this phenomenon, its popularity has been growing since 2013 to the present day. However, a voice message still does not have a clear definition, as it has specific characteristics ...
Added: May 27, 2026
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