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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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Маркетинговая оценка готовности жителей поддерживать масштабные городские мероприятия в сфере туризма

Вестник Удмуртского университета. Серия Экономика и право. 2017. № 6. С. 58–64.
Sazhina A.

Mega events are an incentive for various city changes. The organization of such events presupposes complex decision-making processes and the consolidation of various socio-economic resources of all stakeholders, the most important of which are residents, as the main taxpayers and the labor of cities. In order to ensure the effectiveness of the implementation of mega events activities in the field of tourism, first of all, it is necessary to enlist the support of the people directly. For this purpose, it is necessary to study in detail the moods and opinions of residents, their willingness to accept tourists and the desire to support the organization and conduct of various city events. One of the most common ways of including residents is the process of interaction with other stakeholders is the implementation of the coproduction concept. The author of this article has developed and empirically verified a conceptual model of assessing the willingness of residents to support mega city events in the tourism industry, which allows assessing the influence of various factors on the willingness of residents to participate in different types of coproduction (volunteering, crowdsourcing, giving recommendations and coachsurfing). In order to process the results of the study, the statistical package SPSS-22 was used. The result of the regression analysis was the verification of four hypotheses of the study, each of which was confirmed.

Priority areas: management
Language: Russian
Text on another site
Keywords: туризмжителиresidentstourismмаркетинг территорийmega-eventscoproductionмаркетинг туризмамаркетинговая оценкамасштабные мероприятия
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