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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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?

Construction of an Interactive Aviation English Class Based on Virtual Reality Technology

2025 International Conference on Distance Education and Learning (ICDEL),China. 2025. P. 288–292.
Yin Z., Li M., Dai Y.

Virtual Reality (VR), as an innovative teaching technology, demonstrates potential for aviation English teaching, particularly in meeting its need for precise terminology and immersive experiences. This paper presents conceptual frameworks and structural designs for VR-based interactive aviation English classrooms to address existing teaching shortcomings. Theories of psychology, pedagogy, linguistics, and relevant VR technology researches underscores its positive influence on language learning, attributed to its immersive, interactive, and intuitive qualities. A tripartite interaction model (encompassing human-computer, teacher-student, student student interactions) and five implementation steps including team formation, curriculum design, system building, curriculum implementation, and evaluation optimization are totally proposed in this study. Despite VR's educational benefits, challenges such as high costs, technological adaptability, ethical and health concerns, and underdeveloped evaluation mechanism must be tackled. The study suggests cost optimization, modular monitoring, equitable resource policies, health guidelines, and cross-sectoral collaboration to bolster VR's application in aviation English teaching

Research target: Humanities Other Humanities
Language: English
DOI
Text on another site
Keywords: English for Specific Purposes modern technology in teachingAR/VRAviation English pedagogy
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