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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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?

К вопросу о проблеме определения феномена понимания

Ярославский педагогический вестник. 2020. № 4. С. 89–95.
Kiyatkina A.

Scientific knowledge has always sought to understand the new phenomena and to define the opened ones. Despite the popularity of research on the phenomenon of understanding, there are still more questions than answers to this topic. However, recently there has been a growing interest in the phenomenon of understanding in psychological science.

This article discusses several problems related to the definition of understanding. The first problem is to draw the line between understanding, thinking, thought and knowledge. The second problem for a scientist who tries to define understanding is linguistic interpretation, which is considered on two levels in this article. The third problem is related to the dichotomy of the essence of understanding, which can be both a result and a process, as well as considered in other polar categories. From the point of view of the philosophy of science, understanding can be considered as the abil- ity to explain something or the ability to control knowledge of something. There is also a dichotomy of understanding orientation. In addition, understanding can be considered by scientists as an interpretation of the real and as awareness of the possible. The fourth problem discussed in this article is the diversity of existing approaches in defining under- standing. The final question, which can also be formulated as the main problem of this work, is as follows: does science need a single definition of the phenomenon of understanding? Obviously, every scientist planning to study this topic should give himself an answer to this question. The purpose of the article is to study the feasibility of a universal defini- tion. The article is an analytical review of the above-mentioned problems of defining the phenomenon of understanding in relation to the main question of the feasibility of a single definition of understanding.

Research target: Psychology Education
Language: Russian
Full text
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Keywords: мотивациямысльпониманиеmotivationthoughtunderstandingличностный смыслpersonal meaning
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