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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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Регионы в политике, политика в регионах

M. , Perm : ФГБОУ ВО «ПГНИУ», 2023.
Вала С. К., Вершинина Д. Б., Gaman-Golutvina O. V., Гнедаш А. А., Degterev D. A., Efremenko D. V., Казаринова Д. Б., Косоруков А. А., Красильщиков Г. Г., Назукина М. В., Неклесса А. И., Николаева Е. О., Николаева М. В., Пунина К. А., Рябченко Н. А., Савенков Р. В., Садилова А. В., Тимофеева О. В., Хенкин С. М., Shestakova M., Щербинин А. И., Щербинина Н. Г.
Leading author: Gaman-Golutvina O. V.
Academic editor: Gaman-Golutvina O. V.
Editor-in-chief: Gaman-Golutvina O. V.
Under the general editorship: Gaman-Golutvina O. V., Р. В. Евстифеев, Фадеева Л. А.

The focus of the RAPN-2023 Yearbook is the analysis of modern political problems in the regional dimension, considered in a wide range: from the global historical and civilizational context of regional political transformations to the study of foreign experience in managing a crisis society and domestic practices of regional management.
For political scientists and everyone interested in the problems of political development and regionalism.

Chapters
От «созерцательного регионоведения» к прикладным кроссрегиональным исследованиям
Degterev D. A., В кн.: Регионы в политике, политика в регионах.: М., Пермь: ФГБОУ ВО «ПГНИУ», 2023. Гл. 5 С. 103–121.
Added: February 2, 2024
Регион(ы), регионализм(ы), регионализация(и): многомерность, многоликость, многоуровневость
Gaman-Golutvina O. V., В кн.: Регионы в политике, политика в регионах.: М., Пермь: ФГБОУ ВО «ПГНИУ», 2023. Гл. 2 С. 49–83.
The RAPN-2023 Yearbook focuses on the analysis of modern political problems in the regional dimension, considered in a wide range: from the global historical and civilizational context of regional political transformations to the study of foreign experience in crisis management and domestic regional management practices. For political scientists and anyone interested in the problems of ...
Added: February 27, 2026
Research target: Political Science, International Relations, and Public Administration
Language: Russian
Sample Chapter
Full text
Keywords: РоссияRussiaрегионалистикаполитическое развитиеregionalismрегионализмregionsрегионоведениеpolitical developmentregional studieshistorical regionalisticsРегионы
Регионы в политике, политика в регионах
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Added: April 12, 2026
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