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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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Выражение локативных значений в кубанском диалекте кабардино-черкесского языка (на примере глаголов падения)

Вестник Воронежского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2016. № 2. С. 79–85.
Ryzhova D., Kyuseva M.

The paper analyzes interaction between locative markers and lexical meaning of the stem in Kuban Kabardian. In the case study of the semantic zone of falling we reveal different morphological patterns of marking spatial relationship between Trajector and Landmark. We hypothesize that morphological differences, on the one hand, arise from distinctions in lexical meanings, and, on the other hand, are due to gradual lexicalization of the locative markers.

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: Russian
Full text
Text on another site
Keywords: lexical semanticsлексическая типологияKabardianкабардино-черкесский языкlocalizationглаголы паденияverbs of fallingverbal orientation
Publication based on the results of:
База данных как инструмент лексико-типологических исследований: глаголы звука и модели их семантической деривации (2014)
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