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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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Для внутреннего пользования и на экспорт: освещение пенсионной реформы телеканалами Первый, Дождь и RT

Вестник Пермского университета. Серия: Политология. 2020. № 2. С. 15–26.
Kazun A. D., Богомазова Л. В.

The article presents a comparative analysis of the pension reform coverage by three Russian TV channels –
Channel One, TV Rain, and RT. The discussion of reform was analyzed from June 16, 2018, when the corresponding
bill was introduced to the State Duma, to October 3, when it was signed by the President and was
published. The media coverage of this news on selected TV channels differs significantly. Channel One was
focusing the audience’s attention on the benefits of pension reform as before the TV address of the President
the main source of formal approval of the reform was from federal officials and citizens. After August 29,
regional representatives were included in the media discussion, which can partly be explained by the upcoming
elections. Opposed to Channel One, there was no active participation of regional representatives in reporting
on pension reform on TV Rain, yet the expert community was included, which still did not guarantee
the representation of alternative positions as the channel adhered to a skeptical attitude towards the reform.
The RT, which target audience is foreigners, showed the low intensity of pension issue discussion. Nevertheless,
this channel was actively covering nationwide actions against the raising of the retirement age, which is
unusual for the federal channel mainly focusing on positive aspects of the reform. During the elections, the
RT included the pension issue to agenda: low voter turnout and the defeat of the ruling party in several Russian
constituent entities were regarded as a result of increasing the retirement age.

Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Media and Communications
Priority areas: sociology
Language: Russian
Full text
Text on another site
Keywords: пенсионная реформателевидениеpension reformмедиадискурсRussian TVeconomic newsэкономические новости media
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