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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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Интерпретация представителями разновозрастных групп в России и в Китае взаимодействия между руководителями и подчинёнными

Организационная психология. 2018. Т. 8. № 3. С. 104–120.
Онучин А. Н., Тан Ф.

Generational shifts and accompanying changes in workplace culture is an integral part of life as older people retire and younger people join the workforce. This “generational turnover” can often lead to intergenerational conflicts if the hopes, expectations and social attitudes of different generations in the workplace vary widely and if they are not properly synchronized with the goals and values of their companies. In this regard, while several studies have been conducted in Western countries on the intergenerational dynamics at the workplace, in order to formulate appropriate policies and measures that better utilize the potential of young generations, empirical research on intergenerational interpersonal relationships in the workplace in non-Western contexts, particularly comparative research, is insufficient. This is especially the case with China and, to a lesser extent, Russia. Purpose. In this article, the result of a study on intergenerational differences in decoding workplace interactions involving different age groups is presented. Study design. 146 respondents from Russia and China, from younger and older generations took part in the research. The study used experimental research methods, combining visual materials and an open questionnaire to collect data. Findings. The study revealed significant differences in the terms of how different generational cohorts perceive intergenerational interaction at the workplace, and how cultural influences should be taken into account when evaluating such interactions. Value of the results. The study also shows that younger generations exhibit shared characteristics, regardless of country of origin.

Priority areas: management
Language: Russian
Text on another site
Keywords: Деловая культурасмена поколенийстарениеэкспериментальные методымежличностное взаимодействиемежпоколенческий конфликт
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