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News
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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Do non-interest income activities matter for banking sector efficiency? A net interest margin perspective

Applied Econometrics. 2024. Vol. 73. P. 59–77.
Kolade S. A., Semenova M.

This paper explores the effects of non-interest income (NII) generating activities on banking sector efficiency in 152 countries from 1996 to 2017. Contrary to previous studies that examine the effects of diversification on banking performance at the micro-level, this study seeks to provide new insights about the effects of diversification at the aggregate level on bank efficiency. This aspect offers a chance to capture the whole banking sector and provides a broader understanding of the effects of banking sector diversification. Our baseline results reveal that engaging in NII activities is positively associated with banking sector efficiency. Using the dynamic threshold regression method, we do not find a tipping point beyond which the benefits of NII activities have an adverse impact on banking sector efficiency. These results are insensitive to different groups of countries. Our findings generally suggest that banking liberalization contributes to the efficiency of the banking sector. In this sense, the findings of this study support banking sector diversification policies implemented in many countries since the 1980s and 1990s.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: banksnon-interest incomeNet interest marginbank profitability
Publication based on the results of:
Banking and payment services markets in turbulent times: drivers of development under the pressure of non-economic shocks and institutional changes (2024)
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