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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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Теневое государственное и муниципальное управление

Мониторинг общественного мнения: Экономические и социальные перемены. 2016. № 3. С. 120–133.
Molyarenko (Moliarenko) O.

There is a strong position of informal institutions positive assessment in science literature dedicated to the history of public administration in Russia. Researchers emphasize that the existence of horizontal mechanisms of informal redistribution and the methods of softening the strict regulation made the planned economy of the USSR viable. At the same time informal rules and made with using personal relations managerial decisions in contemporary Russian public administration are condemned as the signs of corruption system thought several authors admit it as inherent for our national economy.

The empirical basis of the article is the interviews with civil servants, public officials and business representatives, who highlighted the cases of municipal management and local living standards improvement through informal interactions between local and government authorities and between public authorities and business. According to our research, for example, social responsibility of enterprises in Russia is extremely high, but locates in informal area.

The shadow public administration allows authorities to avoid strict and incomplete regulation, to make public administration mobile, to coordinate the activities of public authorities at the municipal unit. In other words, the informal administration appears as a reaction on formal government and municipal management disadvantages: there is an avalanche of challenges that could not be timely tackled through formal rules.

Priority areas: economics sociology management state and public administration
Language: Russian
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Keywords: уровень жизни населенияличные связитеневая экономикагосударственное и муниципальное управлениеpublic administrationsocial responsibilityсоциальная ответственность бизнесаинформационный обменliving conditionsshadow economypersonal relationshipsinformational interaction
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