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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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Когнитивный и лексический подходы в курсе английского языка для академических и специальных целей с использованием проектно-ориентированного обучения (на примере студентов экономического факультета)

Педагогика и психология образования. 2021. № 4. С. 68–83.
Guskova N. V.

The article deals with the implementation of cognitive and lexical approaches in teaching English to students of a non-linguistic university. The author approaches the solution of the questions posed by organizing the project activities of students. The purpose of the study is to form a strategy of competence-based teaching of a foreign (English) language to students enrolled in programs of economic directions and specialties, using cognitive and lexical approaches within the framework of students’ project activities. The article discusses the methodology for using design technology, presents examples of tasks and techniques aimed at mastering specialized foreign language vocabulary, presents the results of experimental activities showing positive dynamics in  the  following indicators: the  volume of  mastering specialized vocabulary; active use of new vocabulary in the course of communication; the ability to hear speech errors when using new vocabulary, etc.

Research target: Education Psychology
Language: Russian
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Keywords: cognitive approachкогнитивный подходлексический подходLexical approachforeign language for academic and special purposesproject technologiescompetence-based learning strategyиностранный язык для академических и специальных целейпроектные технологиикомпетентностно-ориентированная стратегия обучения
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Added: April 13, 2021
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Added: December 9, 2020
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