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Subject
News
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.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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?

Event-Related Potentials in Response to Fake News Correction: Pilot Study

P. 124–127.
Morozova A., Monahhova E., Gorodnicheva Y., Zinchenko O., Shestakova A., Klucharev V.

Fake news has become a serious problem with the development of the Internet and social networks. Due to their rapid spread and influence on people's opinions and decision-making, the need to combat media fakes become evident. This pilot study investigated behavioral and neuropsychological responses to fake news corrections that indicate the presence of the fake. We used medical- and healthcare-related news headlines, both fake and accurate, and employed a short-format debunking correction (Truth/Fake) from authoritative and non-authoritative medical sources. 22 participants took part in the pilot study, assessing their trust in news headlines and the willingness to share them with others before and after the correction, while the electroencephalography (EEG) data were recorded. We hypothesized that the trust in the news and the willingness to share them would increase after the Truth-correction (indicating that the statement is correct) from the authoritative source, and would decrease after the Fake- correction (indicating that the statement is false) from the same source. On the neuropsychological level we assumed that the correction would elicit the Feedback-Related Negativity (FRN), and its amplitude would be larger in response to the Fake-correction, than to the Truth- correction, and would correlate with the magnitude of an individual opinion change. The results showed the significant effect of the corrections on the trust in headlines and willingness to share them. Authoritative Truth-corrections increased trust and willingness to share, while authoritative Fake-corrections decreased trust and willingness to share headlines. The EEG data showed the FRN/ P600 responses to the corrections. However, no significant differences between the FRN amplitudes across experimental conditions were found, and the component only correlated with the magnitude of willingness to share changes.

Language: English
DOI
Text on another site
Keywords: EEGmisinformationfake newsERP (event-related potential)

In book

2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN)
IEEE, 2024.
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