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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.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Методологический подход к организации мониторинга волатильности денежных потоков

Финансы: теория и практика. 2021. Т. 25. № 3. С. 150–158.
Larionov A.

The study presents the author’s approach to monitoring the volatility of cash flows. The relevance of the study is due to the fact that a high increase in volatility can have a negative impact on the stability of individual economic entities; therefore, central banks are faced with the task of organizing a system for monitoring cash flow volatility, as well as developing approaches to their regulation. The purpose of the study is to develop a methodological approach to organizing the monitoring of cash flow volatility. Statistical methods, including fractal analysis, are used in the study. The study determines the approach to classifying different levels of cash flow volatility. Three main types of cash flow — moderate, transient, and turbulent, — are defined. The study confirmed two hypotheses. First, it is proven that the volatility of cash flows is more the result of behavioural factors than institutional ones. Second, it is established that the turbulent type of cash flow occurs in more rare cases than the moderate or transient types. It is shown that the volatility of the cash flow is the result of behavioral reactions of economic entities to fluctuations in economic activity. Institutional factors determine the limits of cash flow volatility, but fluctuations within these limits are the result of the reaction of economic actors to changes in the external environment. The turbulent type of cash flows occurs during the period of simultaneous actions of all economic entities. Based on the three-sigma rule, a methodological approach to determine confidence intervals classifying cash flows by the type of movement was suggested. It is concluded that since the turbulent type of cash flows has the greatest negative impact on the stability of the economy, it should be of significant interest for monitoring and subsequent regulation by the Bank of Russia. A promising direction for furtherresearch may be the development by the Bank of Russia of a specialized refinancing instrument to compensate for the shortage of funds due to the increased level of cash flow volatility.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Priority areas: economics
Language: Russian
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Keywords: волатильностьденежные потокиcash flows
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