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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.
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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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Влияние массового редистриктинга на долю голосов за инкумбента на выборах в региональные законодательные собрания

Вестник Пермского университета. Серия: Политология. 2025. Т. 19. № 3. С. 61–70.
Девятников В. Ю.

Redistricting, as the process of revising electoral district boundaries, can have a significant impact on electoral processes, including in autocratic regimes with electoral institutions. This article examines the political consequences of electoral reform carried out in several regions of Russia over the past few years. Using the author's developed web-scraping algorithm for the GAS Vybory websites, data on voting results in regional legislative elections from sixteen regions were collected. Between 2019 and 2023, the number of seats allocated under the majority voting system increased in these regions, requiring massive redistricting to create new constituencies. This created favorable conditions for studying the political consequences of large-scale redistricting. Using data on the results of elections to regional parliaments, the degree of influence that mass redistricting has on the electoral results of incumbents was statistically significant. Still, the scale of the effect is not enough to alter the outcomes of elections, so we conclude that redistricting did not have a noticeable effect on the electoral stability of incumbent parliamentarians.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: региональное законодательствоэлекторальные исследованиярегиональные выборыregional electionselectoral studiesэлекторальная автократияelectoral autocracyredistrictingincumbency effectредистриктингэффект инкумбента
Publication based on the results of:
Institutions, human capital and regional Development: historical analysis and contemporary challenges (2025)
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