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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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Linguistic sign and reading as text creating activity

XLinguae. 2017. Vol. 10. No. 1. P. 2–11.
Karamalak O., Pesina S.

The article is devoted to the theoretical understanding of linguistic sign functioning in the process of semiosis within the framework of cognitive paradigm. It discusses the process of sign formation from the anthropological perspective, reviews the traditional treatment of a linguistic sign theory, postulating the continuity of the signified and the signifier, presents a critic argument concerning “information transfer”. Moreover, it expands F. de Saussure’s understanding of a linguistic sign and reconsiders the psychological part of a linguistic sign into a mnemonic structure, explaining semiosis differently. The current paper criticizes the viewpoint according to which a reader is considered as a passive recipient. On the opposite it suggests that a reader is an active member of the interpretation process who generates the meaning of the linguistic sign in a personal and creative way. Reading is realized as a complex psychological process, connected with speech and different kinds of perception (acoustic, visual, spatial, cognitive, and so on.). This implies an action from the part of the reader. The process of reading integrates perception, attention, memory, and thinking. Obviously, reading is a hyper active phenomenon.

Research target: Philosophy, Ethics, and Religious Studies Philology and Linguistics
Priority areas: humanitarian
Language: English
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Text on another site
Keywords: readingtextsemiosisaffordancelinguistic signmneumonic structureactive reader
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