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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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Роль многофазовой структуры действия в классификации ситуаций по степени контролируемости (на материале английского языка)

Известия Смоленского государственного университета. 2021. Т. 2. № 54. С. 136–148.
Safina M.

He article analyses utterances from modern English to establish the peculiarities of the process how the presence or absence of control is manifested in a situation as a multiphase process consisting of seven stages such as a wish, an intention, a decision, planning, preparation, an attempt, a result (success or failure). The implicative character of language representations allows us to assume that a situation can be rendered into utterance explicitly as a complete process or metonymically, through one of the genesis of action stages (using phase and intention markers, lexems with connotative meaning, etc.), and both cases can prove sufficiency to obtain a full and complete image of the situation. Thus, analyzing if a situation represented by an utterance is controlled or non-controlled, we shall focus on the whole process instead of examining one of its parts. The theoretical part of the article explains the choice of the term «control» from semantically similar terms and demonstrates some basic approaches to understanding the concept of control in linguistics. Moreover, the article analyses how the notion of control is applied to predicates and situations; discusses the notions of the genesis of an action and implication that makes it possible to provide a more specific view on what should be considered as a situation. The practical part of the article shares the results obtaining by the analysis of English utterances taken from literature, media or the Oxford Dictionary example bank confirming the sufficiency of a metonymic representation of a situation; it offers a classification of situations based on the completeness of their representation in the language and on the degree of control (depending on what and how many stages are marked as controlled or non-controlled).

Research target: Philology and Linguistics
Language: Russian
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Keywords: controlситуацияsituationmetonymyконцептуальная метонимияконтролируемостьGENESIS OF ACTION THEORYФАКТОРНЫЕ ИНТЕНЦИОНАЛЬНЫЕ СРЕДСТВАТЕОРИЯ АКТОГЕНЕЗА
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