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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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Research of Mathematical Models for Assessing the Pumping Flashtubes Failure Rate

P. 1–4.
Kunizhev I., Korolev P., Ivanov I., Sedov K.

The research provides a review and analysis of the existing mathematical model of the pumping flashtubes operational failure rate.  They are used in various spheres of human activity, such as: industry (laser welding, balancing devices), medicine (laser devices, endoscopes, blood analyzers), photography (high-speed cameras). A computational assessment was carried out using a decision support system, which makes it possible to numerically determine the importance of the factors considered in the work in assessing the operational failure rate. As a result of the study, the main parameters have been determined that have the greatest impact on the pumping flashtubes dependability. Mathematical models considering these parameters have been identified. Reliable mathematical model is proposed, suitable for evaluating the dependability characteristics of pulsed pump lamps.

Language: English
Full text
DOI
Keywords: reliabilityDependabilityoperational failure ratepulse lamp

In book

2021 International Seminar on Electron Devices Design and Production (SED)
IEEE, 2021.
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