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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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Об учете андроцентризма и гендерной асимметрии в обучении современному английскому языку

Вестник Пермского национального исследовательского политехнического университета. Проблемы языкознания и педагогики. 2017. № 1. С. 75–85.
Sebryuk A.

The present article is concerned with the necessity to cover current trends of gender-inclusive language in teaching modern English. The author focuses on the problem of androcentrism and gender correctness. The question of gender asymmetry in the English language that has become a burning issue recently was first raised in the 1950s with the beginning of the feminist movement in the U.S. In 2015-2016 the debates about self-identity shook first the academic world and then all the American society leading to the awareness to reconsider gender politics. The author proves that the social and cultural inequality of men and women in different spheres of life are reflected in the language. According to many feminists, English expresses male-centered culture and does not equally represent the social and cultural role of men and women in different spheres of life. New terms and grammar variants are being constantly implemented into the language to achieve gender equality. Meanwhile, in recent years due to the radical changes in the traditional perception of gender identity in American society, there appears to have evolved new communicative rules and norms towards people who do not identify with the aspects of gender that are assigned to their biological sex.  The author describes the new tendencies in the English language for more gender-neutral and gender-inclusive language promoted by some prestigious American universities and analyzes the most widespread recommendations for successful communication in the modern English language environment.

 

Research target: Education Philology and Linguistics
Priority areas: humanitarian
Language: Russian
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DOI
Text on another site
Keywords: гендерполиткорректностьgenderpolitical correctnessфеминизмгендерный подходгендерная асимметрияgender approachfeminism cross-cultural communicationлингвистика и межкультурная коммуникацияandrocentrismgender- inclusive languagegender-neutral languagegender asymmetrysexist languagefeminist criticism of the languageандроцентризм языкагендерно-инклюзивный языкгендерно-нейтральный языкфеминистская критика языкаязыковой сексизм
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