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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.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.

 

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Лингво-семиотический подход к реконструкции медийных социальных представлений

Вестник Томского государственного университета. 2026. № 524. С. 5–14.
Balakina Y. V.

The theory of social representations developed by Serge Moscovici underscores the pivotal role played by media communication in shaping collective understandings of objects and processes within social reality. In contemporary society, where nearly every form of communication has become deeply intertwined with media, it follows logically that social representations are not only formed but also continually transformed, transmitted, and reinterpreted through interactions with the media. To capture the dynamic relationship between media and social cognition, we introduce the concept of Media Social Representations (MSR). MSR refers to the socially constructed set of interpretations about the external world, which are embedded within the cognitive-semiotic framework of the media and the cognitive frameworks of audiences. It encapsulates how individuals collectively perceive and understand the realities portrayed through media channels. The structure of MSR manifests itself in two dimensions: content and form. On the one hand, the content represents the socially constructed interpretations of events, people, or phenomena. On the other hand, the form of MSR comprises the actual representations embedded within media discourse. These representations are often multilayered, incorporating textual, visual, auditory and kinetic elements that interact dynamically to produce specific effects on audiences.

Reconstructing the content of MSR involves examining the meanings encoded in various signifiers present in media texts. The proposed approach includes the definition of the thematic domain, the analysis of the nominative function of signs to determine denotative meanings, and, accordingly, thematic anchoring and objectification of the MSR, as well as the expressive function to identify connotations and determine emotional anchoring and objectification. At the discursive level, the applied discursive strategies of propaganda, promotion (media framing) and dissemination (education, information) are considered. The presented approach, through an appeal to the basic concepts of linguistics and semiotics, allows access to shared ideas of the media and the audience, objectified in the media discourse.

Ultimately, the study of MSR offers a comprehensive framework for understanding how societies come to collectively construct and negotiate their realities through engagement with mass media.

Research target: Media and Communications Philology and Linguistics
Language: Russian
DOI
Text on another site
Keywords: семиотикаsignзнактеория социальных представленийsemioticsмедийный дискурсmedia discoursemedia textsemiotic repertoiremedia social representationsмедийные социальные представленияsocial representations theorythematic domainсемиотический репертуартематическая доминанта
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