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Subject
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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Моделирование влияния структуры капитала на эффективность предприятий сырьевых отраслей

Вопросы статистики. 2015. Т. 11. С. 24–33.
Polyakov K., Polyakova M. V.

Analysis of the impact and the value of liabilities on the effectiveness of the company is one of
the most important tasks of the financial management. From the approach, used when determining the structure of sources of financing for the company and its ongoing innovation projects, depends the level of profit, and hence the worth of
business. This article is the first to present the analysis of the impact the capital structure has, on the efficiency of mining and processing of coal and oil in Russia. The share of debt capital in these companies is low, the cost of its use, on the contrary, is high, but it is due to the debt capital that development projects are financed, and it is important for companies to use
these funds efficiently. In addition, the increase in the proportion of debt capital can ensure the growth of return on equity. As a measure of the efficient use of the borrowed funds the authors used the ROA (return on assets) indicator.
As a result of the conducted research models of the statistical relationship between profitability and indicators were constructed, characterizing financial condition of enterprises, in particular, long-term and short-term obligations. Negative impact on the efficiency of the value of obligations, regardless of their structure, was revealed. Additionally, the analysis proved a significant dependence of the efficiency of the use of borrowed funds on the type of companies (in accordance with the NACE codes), along with the negative impact of the tax burden. To solve this problem the authors used panel regression models with random effects. The selection of the type of model is explained by the occurrence of the number of independent variables, the value of which does not change over time.
 

Research target: Mathematics Economics and Management
Priority areas: economics
Language: Russian
Full text
Keywords: прибыльностьструктура капиталанефтьcapital structureугольcoal industryпанельная регрессия Oil Sector profitability panel regression
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