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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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Моно–, поли–, пан–: мировоззренческая дифференциация православных верующих

Полития: Анализ. Хроника. Прогноз. 2025. № 4(119). С. 129–151.
Bochkor A., Шейдякова Н. Г.

Studies note the heterogeneity of religious beliefs among modern Orthodox believers, but often ignore the specificity and internal logic of their beliefs. This article develops and tests a model of classification of Orthodox believers from the point of view of the content and internal logic of their beliefs, differentiated with respect to the dominance of various worldview types: monotheism, polytheism and pantheism.

Based on the analysis of 15 semi–structured in–depth interviews with Orthodox believers, the authors identify the main criteria for classifying Orthodox believers by their religious worldview type and confirm the possibility of differentiating Orthodox believers into «monotheists», «polytheists» and «pantheists». The study found that each worldview type corresponds to a special system of cosmological and value-normative ideas, linked together in the logic described by G. Hegel. The hypothesis about the possible existence of a relationship between the type of religious worldview and the ethical and political views of believers was also partially confirmed.

The study offers a new way of differentiating and classifying Orthodox believers in terms of the worldview types of their beliefs: monotheism, polytheism, pantheism. The proposed classification allows us to obtain a more complete picture of the internal logic of individual religious beliefs and the relationship of these beliefs with the attitude of believers to other spheres of life, such as ethics and politics. The classification model allows us to develop a quantitative questionnaire, thanks to which it is possible to differentiate Orthodox believers by worldview types, to assess the prevalence of these types among Orthodox Russians, and to identify the significance of the relationship between the type of religious worldview and the ethical and political views of believers.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Text on another site
Keywords: религиозный синкретизммонотеизмпантеизмpantheismreligious beliefsрелигиозные верованияmonotheismpolytheismполитеизм religious syncretismorthodox believersправославные верующие
Publication based on the results of:
Проекции форм сакрального как априорного конструкта в социальной, политической и экономической сферах (2024)
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