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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Caspian Pipeline Consortium Equipment Monitoring System

P. 169–173.
Belov A. V., Irina V. Arutyunova

The equipment condition assessment system of the Caspian Pipeline Consortium is purposed to enhance the efficiency of monitoring and to manage the operation of pipeline systems. The primary objective of this initiative is to develop an information system that enables continuous monitoring of pipeline conditions, thereby minimizing maintenance costs and reducing risks associated with potential failures. To achieve this goal, several tasks have been defined, including the analysis of existing pipeline condition assessment methods, the collection and structuring of data, the application of statistical analysis to identify patterns, and the development of a predictive model for equipment condition. The most important aspect is the evaluation of the effectiveness of the predictive model, which will justify its feasibility and advantages over traditional approaches.

Language: English
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Keywords: monitoringpredictive analyticsinformation systems Digital twinCaspian Pipeline Consortium

In book

Proceedings of the 2025 INTERNATIONAL CONFERENCE "QUALITY MANAGEMENT, DIGITAL SECURITY, INFORMATION TECHNOLOGIES" (2025 QM&DS&IT)
Proceedings of the 2025 INTERNATIONAL CONFERENCE "QUALITY MANAGEMENT, DIGITAL SECURITY, INFORMATION TECHNOLOGIES" (2025 QM&DS&IT)
IEEE, 2025.
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