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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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Адаптация иностранных студентов в условиях цифровизации образования: теоретический обзор

Педагогика. Вопросы теории и практики. 2025. Т. 10. № 10. С. 1699–1706.
Константинов В. В., Fedotova (Goldyreva) V.

The global trend toward the globalization of education is intensifying competition among universities for international students. Upon arriving in a new country, students often experience difficulties adapting, which directly impacts their academic success and personal growth. The digital environment is a significant element influencing the adaptation process. This influence is ambivalent, manifesting itself in both positive and negative aspects. Most research focuses on the use of digital tools to support adaptation and the creation of online communities. These studies address factors that hinder academic adaptation. However, there is a lack of research devoted to the relationship between academic adaptation and various aspects of the digitalization of education, as well as the impact of international students’ digital literacy on their academic adaptation. The purpose of this article is to examine the specifics of international students’ academic adaptation in the context of digitalization, drawing on the works of Russian and international scholars. This issue represents a fundamental challenge for ensuring the successful integration of international students into the educational process. This not only contributes to their academic performance and psychological well-being, but also allows universities to improve the quality of education and create a favorable learning environment. The novelty of this work lies in its analysis of significant contradictions and knowledge gaps that must be addressed to build an effective system for integrating international students into digital education. We have systematized research on the impact of the digital educational environment on international student adaptation and identified key areas for future research.

Research target: Psychology Education
Language: Russian
DOI
Text on another site
Keywords: DIGITALIZATION OF EDUCATION, GLOBALIZATION OF EDUCATION, ACADEMIC ADAPTATION, INTERNATIONAL STUDENTS, MIGRANT STUDENTSЦИФРОВИЗАЦИЯ ОБРАЗОВАНИЯ, ГЛОБАЛИЗАЦИЯ ОБРАЗОВАНИЯ, АКАДЕМИЧЕСКАЯ АДАПТАЦИЯ, ИНОСТРАННЫЕ СТУДЕНТЫ, СТУДЕНТЫ-МИГРАНТЫ
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