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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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Les études médiatiques dans les BRICS contre les bases de données occidentales: critique de la domination académique anglophone.

HERMES (France). 2017. Vol. 17. No. 79. P. 62–68.
Kiriya I.

L’idée de cet article est de mettre en question l’approche bibliométrique dans les recherches en matière des médias dans les pays BRICS. Cette approche est de plus en plus utilisée dans l’évaluation académique et d’une manière paradoxale de plus en plus dans les pays de « la nouvelle croissance économique », dont BRICS représentent un cas important. Dans ces pays les gouvernements sont même plus impliqués dans la construction des « universités d’excellence », un nouveau modèle qui remplace l’université comme institution de la reproduction de la culture. Dans ce processus les bases des données des publications académiques deviennent un instrument important de l’évaluation managériale de l’efficacité de l’Université qui constitue à son tour le système des classements dans lequel les établissements russes, chinois, brésiliens deviennent de plus en plus présents. L’étude empirique sur les outils bibliométriques numériques montre clairement que la bibliométrie numérique privilégie davantage des publications anglophones ce que largement contribuent à la domination dans le raisonnement scientifique, les idées véhiculées par des revues scientifiques de la culture empirique anglophone issue des sciences sociales ce que dévalorise la tradition des sciences humaines plus cher à l’école française.

La deuxième conclusion que l’auteur tire de cette étude est qu’il est fort difficile de parler d’un groupe particulier des publications des études médias dans les BRICS tout simplement parce que d’une manière théorique ce groupe est très hétérogène. Parmi toutes publications qui sont indexées dans le domaine des communications et cultural studies dans les pays BRICS, 2/3 des publications sont chinoises ce que rend ce pays incomparable avec d’autres.

Autre conclusion est qu'appart l’Afrique du Sud où les revues anglophones sont très présentes les autres pays sont très détachés de l'agenda mondial des publications : les études brésiliennes et russes sont très peu citées par le monde anglophone et vice-versa. Cela est compréhensible du point de vue des classements universitaires dont le système a commencé à affecter ces pays dans le temps assez récent.

Research target: Education Philology and Linguistics
Priority areas: sociology
Language: French
Full text
Keywords: доминированиеdominationscientometricsнаукометрияmedia studiesмедиаисследованияacademic careerакадемическая активность
Publication based on the results of:
Medialization of social institutions, communities and everyday life (2017)
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