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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Детерминологизация в языке СМИ и сопутствующие семантические процессы

Журнал Сибирского федерального университета. Серия: Гуманитарные науки. 2026. Т. 19. № 3. С. 605–617.
Kolchina O., Romanova T. V.

This article examines the semantic and pragmatic transformations of cognitive linguistic terms influenced by mass media. When introduced into non-specialized discourse, a term can lose its connection with its scientific concept and develop new, common meanings through processes of narrowing, broadening, differentiation, attraction, metaphorical and metonymic transfer, and more. This results in an incorrect representation of the terms' content in the minds of native speakers. The article presents these processes accompanying the phenomenon of lexeme determinologization. The terms selected for analysis (script, conceptualization) are common not only in the cognitive sciences, and therefore may be familiar to native speakers. The results of the analysis showed that the common usage of terms differs from their scientific use in favor of greater generalization, narrowing, and metaphorization, as well as the emergence of emotional components.

Research target: Humanities Philology and Linguistics
Language: Russian
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Keywords: терминмедиадискурсmedia discoursetermдетерминологизацияdeterminologizationsemantic processespragmatic transformationsсемантические процессыпрагматические трансформации
Publication based on the results of:
Термины когнитивистики по данным российских СМИ XXI века: дискурсивный словарь-справочник (2026)
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