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News
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

 

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Выбор момента замены оборудования по данным мониторинга полного жизненного цикла инвестиций

Научные труды Северо-Западного Института Управления РАНХиГС. 2024. Т. 15. № 4. С. 137-142.
Smirnova E.

The article presents an approach to the use of data monitoring payback of implemented projects on the full life cycle as a regular source of data for solving problems of consecutive optimization of replacement of technological equipment. The accumulation of a database for monitoring payback creates an information and analytical basis for conducting post-fact audit and re-evaluation of active projects, forms a series of historical values at the entrance of the procedures of predictive analysis. These data are essential raw information for virtually all known methodological approaches to the problem of choosing the best time to replace equipment, including machine learning algorithms. The author offers a comparison of alternative cash flows on the basis of solving dynamic programming problems with separable utility functions, which use the net interim value of the project’s cash flow or the average annual return on investment, regularly revalued in the process of monitoring the return on investment. These indicators are analytical metrics of the absolute and relative return on investment at the current monitoring date. In addition to the financial criterion, the analysis of alternatives should also take into account technological data on failures and real-time reliability indicators of equipment.

Research target: Economics and Management
Language: Russian
Text on another site
Keywords: денежный потокdiscounted cash flowиндекс рентабельности инвестицийполный жизненный циклnet interim valuefull life cycle costingчистая промежуточная стоимостьequipment replacement problemaverage profitability indexpayback periodcapex controllingзамена оборудованиясрок окупаемостиконтроллинг инвестиций
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