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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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Developing Students' Writing Skills within ESP Blended Learning Model

Непрерывное педагогическое образование.ru. 2014. No. 11.
Bakulev A., Bondarev M.

The article describes the key features of writing skills within the course of English for specific purposes implemented on the basis of blended learning. Teaching writing is considered to be a relevant and inseparable component of foreign language teaching, which has a great influence on students' competences. Writing text genres which are useful to the majority of engineering students are determined. In respect that the share of students' self study increases, a set of exercises including preparatory and communicative as well as a special unit of writing exercise tips and comments were worked out. Such a set of exercises being used in an ESP blended learning model, writing skills are formed and developed efficiently.

Research target: Education Philology and Linguistics
Priority areas: humanitarian
Language: English
Full text
Text on another site
Keywords: blended learningESPself-studywriting skillswriting guide
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