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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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?

Ensuring Electromagnetic Compatibility on Mobile Objects by Predicting the Spectral Characteristics of Contact Radio Interference

P. 277–282.
Utkin B., Nikolay Grachev, Utkin M.

This article discusses the spectral characteristics of contact radio interference to solve the problem of electromagnetic compatibility on mobile objects. The article presents the results of the development and description of an algorithm for estimating the spectrum of contact radio interference, allowing to predict the spectral characteristics of contact interference at different values of the frequency of the irradiating electromagnetic field and the distance to the transmitting antenna and to evaluate the electrical and magnetic component of the intensity of the resulting contact radio interference. The presented algorithm for predicting contact radio interference expands the possibilities of designing radio communication systems in the presence of a significant number of radio transmitting and receiving devices on mobile objects. The paper develops recommendations for the application of the results obtained to predict the levels of contact radio interference. The results of the studies of the mechanisms of formation of contact radio interference and the developed algorithm for their prediction are necessary to ensure the effective functioning of the radio equipment of mobile objects.

Language: English
Full text
DOI
Keywords: spectral characteristicsспектральные характеристикипрогнозированиеконтактные радиопомехиpredictingcontact radio interferencemoving objectselectrical contact modelподвижные объектыэлектрическая модель контакта

In book

2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Sochi: IEEE, 2023.
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