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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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The development of stance-taking strategies in L2 students’ academic

Journal of Language and Education. 2015. Vol. 1. No. 4. P. 45–53.
Shchemeleva I.

Due to internationalization of education, students in the majority of leading Russian universi- ties are increasingly likely to use English as a medium of instruction. At the same time, they are not offered preparatory courses in English academic writing. As a result, students are able to develop their academic writing skills mainly while undertaking content-based courses. Recent research indicates that one of the major concerns for novice writers is to be able to express their stance. The key aim of the study is to show that implementing some methods of English for Academic Purposes (EAP) into a content-based course might improve students’ ability to take a stance in their writing. The paper presents the analysis of45 essays written in English by L2 novice writers during a teleconference course taught to a group of Russian and American students. The study employs a comparative linguistic analysis of some stance markers (pronoun ‘I’, reporting verbs, epistemic modal and evidential expressions) used in students’ essays writ- ten at the beginning, in the middle, and at the end of the course. The results suggest that the students’ ability to take a stance might be developed through the integration into the course of some elements of EAP teaching. 

Research target: Philology and Linguistics
Priority areas: humanitarian
Language: English
Full text
Keywords: академическое письмоacademic writingавторская позицияакадемическое эссеauthorial stanceEnglish L2 essaysteleconference
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